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sdk/python/pulumi_azure_native/relay/v20170401/_inputs.py | pulumi-bot/pulumi-azure-native | 31 | 64732 | <filename>sdk/python/pulumi_azure_native/relay/v20170401/_inputs.py
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from ._enums import *
__all__ = [
'SkuArgs',
]
@pulumi.input_type
class SkuArgs:
def __init__(__self__, *,
name: pulumi.Input['SkuName'],
tier: Optional[pulumi.Input['SkuTier']] = None):
"""
SKU of the namespace.
:param pulumi.Input['SkuName'] name: Name of this SKU.
:param pulumi.Input['SkuTier'] tier: The tier of this SKU.
"""
pulumi.set(__self__, "name", name)
if tier is not None:
pulumi.set(__self__, "tier", tier)
@property
@pulumi.getter
def name(self) -> pulumi.Input['SkuName']:
"""
Name of this SKU.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: pulumi.Input['SkuName']):
pulumi.set(self, "name", value)
@property
@pulumi.getter
def tier(self) -> Optional[pulumi.Input['SkuTier']]:
"""
The tier of this SKU.
"""
return pulumi.get(self, "tier")
@tier.setter
def tier(self, value: Optional[pulumi.Input['SkuTier']]):
pulumi.set(self, "tier", value)
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parameter_prediction/models/mlp.py | mdenil/parameter_prediction | 7 | 113210 | import theano.tensor as T
from pylearn2.models import mlp
from pylearn2.space import VectorSpace
from pylearn2.utils import sharedX
from pylearn2.utils import safe_zip
from pylearn2.linear.matrixmul import MatrixMul
from collections import OrderedDict
class MLP(mlp.MLP):
def inv_prop(self, state_above):
self.layers[-1].output_space.validate(state_above)
state_from_above = self.layers[-1].inv_prop(state_above)
layer_above = self.layers[-1]
for layer in reversed(self.layers[:-1]):
desired_space = layer_above.input_space
state_from_above = layer.inv_prop(
desired_space.format_as(state_from_above, layer.output_space))
layer_above = layer
return state_from_above
@property
def output_space(self):
return self.layers[-1].output_space
def get_weight_decay(self, coeff):
return sum(layer.get_weight_decay(coeff) for layer in self.layers)
def get_l1_weight_decay(self, coeff):
return sum(layer.get_l1_weight_decay(coeff) for layer in self.layers)
class VectorSpaceConverter(mlp.Layer):
def __init__(self, layer_name):
self.layer_name = layer_name
self._params = []
def set_input_space(self, space):
self.input_space = space
self.output_space = VectorSpace(space.get_total_dimension())
def fprop(self, state_below):
return self.input_space.format_as(state_below, self.output_space)
def inv_prop(self, state_above):
return self.output_space.format_as(state_above, self.input_space)
def get_weight_decay(self, coeff):
return 0.0
def get_l1_weight_decay(self, coeff):
return 0.0
class CompositeLayer(mlp.CompositeLayer):
@property
def dim(self):
return sum(layer.dim for layer in self.layers)
def get_input_space(self):
input_space = self.layers[0].get_input_space()
assert all(input_space == layer.get_input_space() for layer in self.layers)
return input_space
def inv_prop(self, state_above):
if not isinstance(state_above, tuple):
expected_space = VectorSpace(self.output_space.get_total_dimension())
state_above = expected_space.format_as(state_above, self.output_space)
self.output_space.validate(state_above)
return tuple(layer.inv_prop(state) for layer,state in safe_zip(self.layers, state_above))
class PretrainedLayer(mlp.PretrainedLayer):
def fprop(self, *args, **kwargs):
return self.layer_content.fprop(*args, **kwargs)
def inv_prop(self, state_above):
return self.layer_content.inv_prop(state_above)
def get_weight_decay(self, coeff):
return self.layer_content.get_weight_decay(coeff)
def get_l1_weight_decay(self, coeff):
return self.layer_content.get_weight_decay(coeff)
class ReversableLayerMixin(object):
def inv_prop(self, state_above):
self.output_space.validate(state_above)
return self.transformer.lmul_T(state_above)
class Sigmoid(mlp.Sigmoid, ReversableLayerMixin):
pass
class RectifiedLinear(mlp.RectifiedLinear, ReversableLayerMixin):
pass
class SubsampledDictionaryLayer(mlp.Layer, ReversableLayerMixin):
def __init__(self, dim, layer_name, dictionary):
self.dim = dim
self.layer_name = layer_name
self.dictionary = dictionary
def fprop(self, state_below):
self.input_space.validate(state_below)
if self.requires_reformat:
state_below = self.input_space.format_as(state_below, self.desired_space)
z = self.transformer.lmul(state_below)
return z
def set_input_space(self, space):
self.input_space = space
if isinstance(space, VectorSpace):
self.requires_reformat = False
self.input_dim = space.dim
else:
self.requires_reformat = True
self.input_dim = space.get_total_dimension()
self.desired_space = VectorSpace(self.input_dim)
self.output_space = VectorSpace(self.dim)
self.rng = self.mlp.rng
# sanity checking
assert self.dictionary.input_dim == self.input_dim
assert self.dictionary.size >= self.dim
indices = self.rng.permutation(self.dictionary.size)
indices = indices[:self.dim]
indices.sort()
W = self.dictionary.get_subdictionary(indices)
# dictionary atoms are stored in rows but transformers expect them to
# be in columns.
W = sharedX(W.T)
W.name = self.layer_name + "_W"
self.transformer = MatrixMul(W)
# This is a static layer, there is no cost, no parameters, no updates, etc, etc
def get_params(self):
return []
def cost(self, Y, Y_hat):
return 0.0
def cost_from_cost_matrix(self, cost_matrix):
return 0.0
def cost_matrix(self, Y, Y_hat):
return T.zeros_like(Y)
def get_weight_decay(self, coeff):
return 0.0
def get_l1_weight_decay(self, coeff):
return 0.0
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tests/pydevtest/test_iput_options.py | cyverse/irods | 0 | 161159 | import os
import re
import sys
if sys.version_info < (2, 7):
import unittest2 as unittest
else:
import unittest
import configuration
from resource_suite import ResourceBase
import lib
class Test_iPut_Options(ResourceBase, unittest.TestCase):
def setUp(self):
super(Test_iPut_Options, self).setUp()
def tearDown(self):
super(Test_iPut_Options, self).tearDown()
def test_iput_options(self):
self.admin.assert_icommand('ichmod read ' + self.user0.username + ' ' + self.admin.session_collection)
self.admin.assert_icommand('ichmod read ' + self.user1.username + ' ' + self.admin.session_collection)
zero_filepath = os.path.join(self.admin.local_session_dir, 'zero')
lib.touch(zero_filepath)
self.admin.assert_icommand('iput --metadata "a;v;u;a0;v0" --acl "read ' + self.user0.username + ';'
+ 'write ' + self.user1.username + ';" -- ' + zero_filepath)
self.admin.assert_icommand('imeta ls -d zero', 'STDOUT',
'(attribute: *a0?\nvalue: *v0?\nunits: *u?(\n-+ *\n)?){2}', use_regex=True)
self.admin.assert_icommand('iget -- ' + self.admin.session_collection + '/zero ' + self.admin.local_session_dir + '/newzero')
self.user0.assert_icommand('iget -- ' + self.admin.session_collection + '/zero ' + self.user0.local_session_dir + '/newzero')
filepath = os.path.join(self.admin.local_session_dir, 'file')
lib.make_file(filepath, 1)
self.admin.assert_icommand('iput --metadata "a;v;u;a2;v2" --acl "read ' + self.user0.username + ';'
+ 'write ' + self.user1.username + ';" -- ' + filepath)
self.admin.assert_icommand('imeta ls -d file', 'STDOUT',
'(attribute: *a2?\nvalue: *v2?\nunits: *u?(\n-+ *\n)?){2}', use_regex=True)
self.admin.assert_icommand('ils -l', 'STDOUT')
self.admin.assert_icommand('iget -- ' + self.admin.session_collection + '/file ' + self.admin.local_session_dir + '/newfile')
self.user0.assert_icommand('iget -- ' + self.admin.session_collection + '/file ' + self.user0.local_session_dir + '/newfile')
new_filepath = os.path.join(self.user1.local_session_dir, 'file')
# skip the end until the iput -f of unowned files is resolved
lib.make_file(new_filepath, 2)
self.admin.assert_icommand('iput -f -- ' + filepath + ' ' + self.admin.session_collection + '/file')
self.user1.assert_icommand('iput -f -- ' + new_filepath + ' ' + self.admin.session_collection + '/file')
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] |
crawler_her_sel_old.py | OliverWisn/mishmash_tao | 0 | 111297 | # crawler_her_sel.py
# -*- coding: utf-8 -*-
import time
from selenium.webdriver import Firefox
from selenium.webdriver.firefox.options import Options
from bs4 import BeautifulSoup
options = Options()
options.add_argument("--headless")
driver = Firefox(options=options)
driver.get("https://www.flashscore.com/")
# Wait for page to fully render
time.sleep(5)
pageSource = driver.page_source
bsObj = BeautifulSoup(pageSource, "html.parser")
games = bsObj.find_all("div", {"class":\
"event__participant event__participant--home"})
# print(len(games))
for game in games:
print(game.get_text())
driver.quit() | [
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] |
meter/connector/master.py | anbo225/docklet | 273 | 123606 | <reponame>anbo225/docklet<gh_stars>100-1000
#!/usr/bin/python3
import socket, select, errno, threading, os
class master_connector:
tcp_port = 1727
max_minions = 256
conn = {}
epoll_fd = select.epoll()
def establish_vswitch(ovsname):
os.system('ovs-vsctl del-br ovs-%s >/dev/null 2>&1' % ovsname)
os.system('ovs-vsctl add-br ovs-%s' % ovsname)
os.system('brctl addif ovs-bridge ovs-%s >/dev/null 2>&1' % ovsname)
os.system('ip link set ovs-system up')
os.system('ip link set ovs-%s up' % ovsname)
def build_gre_conn(ovsname, ipaddr):
name = ipaddr.replace('.','_')
os.system('ovs-vsctl add-port ovs-%s gre-%s -- set interface gre-%s type=gre options:remote_ip=%s 2>/dev/null' % (ovsname, name, name, ipaddr))
def break_gre_conn(ovsname, ipaddr):
name = ipaddr.replace('.','_')
os.system('ovs-vsctl del-port ovs-%s gre-%s 2>/dev/null' % (ovsname, name))
def close_connection(fd):
master_connector.epoll_fd.unregister(fd)
master_connector.conn[fd][0].close()
addr = master_connector.conn[fd][1]
master_connector.conn.pop(fd)
master_connector.break_gre_conn('master', addr)
def do_message_response(input_buffer):
assert(input_buffer == b'ack')
return b'ack'
def start():
thread = threading.Thread(target = master_connector.run_forever, args = [])
thread.setDaemon(True)
thread.start()
return thread
def run_forever():
listen_fd = socket.socket(socket.AF_INET, socket.SOCK_STREAM, 0)
listen_fd.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
listen_fd.bind(('', master_connector.tcp_port))
listen_fd.listen(master_connector.max_minions)
master_connector.epoll_fd.register(listen_fd.fileno(), select.EPOLLIN)
datalist = {}
master_connector.establish_vswitch('master')
try:
while True:
epoll_list = master_connector.epoll_fd.poll()
for fd, events in epoll_list:
if fd == listen_fd.fileno():
fileno, addr = listen_fd.accept()
fileno.setblocking(0)
master_connector.epoll_fd.register(fileno.fileno(), select.EPOLLIN | select.EPOLLET)
master_connector.conn[fileno.fileno()] = (fileno, addr[0])
master_connector.build_gre_conn('master', addr[0])
elif select.EPOLLIN & events:
datas = b''
while True:
try:
data = master_connector.conn[fd][0].recv(10)
if not data and not datas:
master_connector.close_connection(fd)
break
else:
datas += data
except socket.error as msg:
if msg.errno == errno.EAGAIN:
try:
datalist[fd] = master_connector.do_message_response(datas)
master_connector.epoll_fd.modify(fd, select.EPOLLET | select.EPOLLOUT)
except:
master_connector.close_connection(fd)
else:
master_connector.close_connection(fd)
break
elif select.EPOLLOUT & events:
sendLen = 0
while True:
sendLen += master_connector.conn[fd][0].send(datalist[fd][sendLen:])
if sendLen == len(datalist[fd]):
break
master_connector.epoll_fd.modify(fd, select.EPOLLIN | select.EPOLLET)
elif select.EPOLLHUP & events:
master_connector.close_connection(fd)
else:
continue
finally:
os.system('ovs-vsctl del-br ovs-master >/dev/null 2>&1')
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2
] |
server/routines/urls.py | IvanGelo1/thesis-project | 2 | 1602190 | <reponame>IvanGelo1/thesis-project<filename>server/routines/urls.py<gh_stars>1-10
from django.urls import path, include
from .views import RoutinesView
urlpatterns = [
path('api/routines/getAll', RoutinesView.as_view()),
] | [
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] |
cloudentries/fusioncompute/lifecycles/fc_rest_client/storage/volumes.py | CloudChef/CloudEntries | 0 | 50233 | # Copyright (c) 2021 Qianyun, Inc. All rights reserved.
from ..common import FusionComputeBase
from cloudify import ctx
class VolumesClient(FusionComputeBase):
IDENTIFIER = 'volumes'
def list(self, urn, limit=100, offset=0):
uri_prefix = '/'.join([self.urn2uri(urn), self.IDENTIFIER])
pagination = "limit={limit}&offset={offset}".format(limit=limit, offset=offset)
uri = "?".join([uri_prefix, pagination])
return self.rest_client.get(uri)
def create(self, urn, config):
uri = "/".join([self.urn2uri(urn), self.IDENTIFIER])
return self.rest_client.post(uri, data=config)
def delete(self, urn, is_format=0):
uri_perfix = self.urn2uri(urn)
pagination = "isFormat={}".format(is_format)
uri = "?".join([uri_perfix, pagination])
return self.rest_client.delete(uri)
def expandvol(self, urn, config):
action = '/action/expandvol'
server_uri = self.urn2uri(urn)
uri = server_uri + action
ctx.logger.info('uri: {}, data: {}'.format(uri, config))
return self.rest_client.post(uri, data=config)
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] |
python/ccxt/tprexchange.py | ThePeoplesReserve/ccxt | 0 | 40574 | # -*- coding: utf-8 -*-
# PLEASE DO NOT EDIT THIS FILE, IT IS GENERATED AND WILL BE OVERWRITTEN:
# https://github.com/ccxt/ccxt/blob/master/CONTRIBUTING.md#how-to-contribute-code
from ccxt.base.exchange import Exchange
from ccxt.base.errors import ExchangeError
from ccxt.base.errors import BadRequest
from ccxt.base.errors import BadSymbol
from ccxt.base.errors import InvalidOrder
from ccxt.base.decimal_to_precision import SIGNIFICANT_DIGITS
import json
import sys
from datetime import datetime
class tprexchange(Exchange):
def describe(self):
return self.deep_extend(super(tprexchange, self).describe(), {
'id': 'tprexchange',
'name': 'TPR Exchange',
# 'countries': ['US'],
# 'rateLimit': 500,
'version': 'v1',
'certified': False,
'has': {
'loadMarkets': True,
'cancelAllOrders': False,
'cancelOrder': True,
'cancelOrders': False,
'CORS': False,
'createDepositAddress': False,
'createLimitOrder': False,
'createMarketOrder': False,
'createOrder': True,
'deposit': False,
'editOrder': 'emulated',
'fetchBalance': True,
'fetchBidsAsks': False,
'fetchClosedOrders': True,
'fetchCurrencies': True,
'fetchDepositAddress': False,
'fetchDeposits': False,
'fetchFundingFees': False,
'fetchL2OrderBook': False,
'fetchLedger': False,
'fetchMarkets': True,
'fetchMyTrades': True,
'fetchOHLCV': True,
'fetchOpenOrders': True,
'fetchOrder': True,
'fetchOrderBook': True,
'fetchOrderBooks': False,
'fetchOrders': True,
'fetchOrderTrades': False,
'fetchStatus': True,
'fetchTicker': True,
'fetchTickers': True,
'fetchTime': False,
'fetchTrades': True,
'fetchTradingFee': False,
'fetchTradingFees': False,
'fetchTradingLimits': False,
'fetchTransactions': False,
'fetchWithdrawals': False,
'privateAPI': True,
'publicAPI': False,
'signIn': True,
'withdraw': False,
'getMarketPrice': True,
},
'timeframes': {
'1m': '1',
'1h': '60',
'1d': '1440',
'1w': '10080',
'1mn': '43200',
},
'urls': {
'logo': '',
'api': '{hostname}',
'www': '',
'doc': '',
'fees': '',
'referral': '',
},
'api': {
'private': {
'get': [
],
'post': [
'ucenter/api-login',
'ucenter/member/balance',
'market/symbol-thumb',
'market/coins-info',
'market/symbol-info',
'exchange/order/add',
'exchange/order/find',
'exchange/order/all',
'exchange/order/apicancel',
'exchange/order/trades',
'exchange/order/my-trades',
'exchange/exchange-coin/base-symbol',
],
'delete': [
],
},
'feed': {
'get': [
],
},
},
'fees': {
'trading': {
},
},
'requiredCredentials': {
'apiKey': True,
'secret': True,
'uid': False,
},
'precisionMode': SIGNIFICANT_DIGITS,
'options': {
'createMarketBuyOrderRequiresPrice': False,
},
'exceptions': {
'exact': {
'Invalid cost': InvalidOrder, # {"message":"Invalid cost","_links":{"self":{"href":"/orders","templated":false}}}
'Invalid order ID': InvalidOrder, # {"message":"Invalid order ID","_links":{"self":{"href":"/orders/4a151805-d594-4a96-9d64-e3984f2441f7","templated":false}}}
'Invalid market !': BadSymbol, # {"message":"Invalid market !","_links":{"self":{"href":"/markets/300/order-book","templated":false}}}
},
'broad': {
'Failed to convert argument': BadRequest,
},
},
})
def parse_ticker(self, response):
if len(response) == 0:
return []
symbol = response[0].get('symbol')
high = 0
bidVolume = 0
askVolume = 0
vwap = 0
vwapCost = 0
vwapVolume = 0
open_ = 'None'
close = 0
last = close
previousClose = 'None'
change = 'None'
percentage = 'None'
average = 'None'
baseVolume = 0
quoteVolume = 0
time = 0
lastDayTime = int((datetime.now().timestamp() - 86400) * 1000)
currentTimestamp = int(datetime.now().timestamp() * 1000)
currentDatetime = str(datetime.fromtimestamp(currentTimestamp * 0.001))
low = response[0].get('price')
bid = 0
ask = sys.maxsize
openSellOrdersCount = 0
for order in response:
price = order.get('price')
amount = order.get('amount')
timestamp = order.get('timestamp')
if high < price:
high = price
if low > price:
low = price
if order.get('status') == 'open':
if order.get('side') == 'buy':
if bid < price:
bid = price
if bidVolume < amount:
bidVolume = amount
if order.get('status') == 'open':
if order.get('side') == 'sell':
openSellOrdersCount += 1
if ask > price:
ask = price
if askVolume < amount:
askVolume = amount
if order.get('info').get('status') == 'COMPLETED':
vwapCost += price * amount
vwapVolume += amount
if time < timestamp:
time = timestamp
close = price
if timestamp > lastDayTime:
quoteVolume += amount
baseVolume += price
if vwapVolume != 0:
vwap = vwapCost / vwapVolume
if openSellOrdersCount == 0:
ask = 0
last = close
result = {
'symbol': symbol,
'info': response,
'timestamp': currentTimestamp,
'datetime': currentDatetime,
'high': high,
'low': low,
'bid': bid,
'bidVolume': bidVolume,
'ask': ask,
'askVolume': askVolume,
'vwap': vwap,
'open': open_,
'close': close,
'last': last,
'previousClose': previousClose,
'change': change,
'percentage': percentage,
'average': average,
'baseVolume': baseVolume,
'quoteVolume': quoteVolume,
}
return result
def fetch_ticker(self, symbol, since=None, limit=None):
response = self.fetch_orders(symbol, since, limit)
# Response example:
# {
# 'symbol': 'BTC/USDT',
# 'info': [...],
# 'timestamp': 1615386851976,
# 'datetime': '2021-03-10 16:34:11.976000',
# 'high': 50.0,
# 'low': 1.0,
# 'bid': 30.0,
# 'bidVolume': 15.0,
# 'ask': 40.0,
# 'askVolume': 25.0,
# 'vwap': 11.0,
# 'open': 'None',
# 'close': 20.0,
# 'last': 20.0,
# 'previousClose': 'None',
# 'change': 'None',
# 'percentage': 'None',
# 'average': 'None',
# 'baseVolume': 60.0,
# 'quoteVolume': 30.0
# }
return self.parse_ticker(response)
def fetch_tickers(self, since=None, limit=None):
# Response example:
# [
# {
# 'symbol': 'BTC/USDT',
# 'info': [...],
# 'timestamp': 1615386851976,
# 'datetime': '2021-03-10 16:34:11.976000',
# 'high': 50.0,
# 'low': 1.0,
# 'bid': 30.0,
# 'bidVolume': 15.0,
# 'ask': 40.0,
# 'askVolume': 25.0,
# 'vwap': 11.0,
# 'open': 'None',
# 'close': 20.0,
# 'last': 20.0,
# 'previousClose': 'None',
# 'change': 'None',
# 'percentage': 'None',
# 'average': 'None',
# 'baseVolume': 60.0,
# 'quoteVolume': 30.0
# },
# ...
# ]
result = []
symbols = self.fetch_markets()
for symblol in symbols:
response = self.fetch_orders(symblol.get('symbol'), since, limit)
ticker = self.parse_ticker(response)
if len(ticker) != 0:
result.append(ticker)
return result
def fetch_order_book(self, symbol, limit, since=0):
# Response example:
# {
# 'bids':
# [
# [20.0, 10.0, 'E161538482263642'], // [price, amount, orderId]
# [30.0, 15.0, 'E161538482271646']
# ],
# 'asks':
# [
# [40.0, 20.0, 'E161538482278825'],
# [50.0, 25.0, 'E161538482286085']
# ],
# 'timestamp': 1615390711695,
# 'datetime': '2021-03-10 17:38:31.695000',
# 'nonce': 1615390711695
# }
orders = self.fetch_open_orders(symbol, since, limit)
bids = []
asks = []
for order in orders:
temp = []
temp.append(order.get('price'))
temp.append(order.get('amount'))
temp.append(order.get('id'))
if order.get('side') == 'buy':
bids.append(temp)
else:
asks.append(temp)
currentTimestamp = int(datetime.now().timestamp() * 1000)
currentDatetime = str(datetime.fromtimestamp(currentTimestamp * 0.001))
result = {
'bids': bids,
'asks': asks,
'timestamp': currentTimestamp,
'datetime': currentDatetime,
'nonce': currentTimestamp,
}
return result
def parse_markets(self, response):
listData = []
for value in response:
tmp = {
"id": value.get("coinSymbol"),
"symbol": value.get("symbol"),
"base": value.get("coinSymbol"),
"quote": value.get("baseSymbol"),
"baseId": value.get("coinSymbol"),
"quoteId": value.get("baseSymbol"),
"type": value.get("publishType"),
"active": value.get("enable"),
"precision": {
"amount": value.get("coinScale"),
"price": value.get("baseCoinScale"),
},
"limits": {
"amount": {"min": value.get("minVolume"), "max": value.get("maxVolume")},
"price": {"min": value.get("minSellPrice"), "max": value.get("maxBuyPrice")},
"cost": {"min": value.get("minVolume") * value.get("minSellPrice"), "max": value.get("maxVolume") * value.get("maxBuyPrice")},
},
"taker": value.get("fee"),
"maker": value.get("fee"),
"info": value,
}
listData.append(tmp)
return listData
def add_frame(self, timeFrameStart, timeFrameEnd, timeframe, highestPrice, lowestPrice, amount, result, openPrice, closePrice):
frame = []
frame.append(timeFrameStart)
frame.append(openPrice)
frame.append(highestPrice)
frame.append(lowestPrice)
frame.append(closePrice)
frame.append(amount)
result.append(frame)
def parse_ohlcv(self, response, since, timeframe):
highestPrice = 0
lowestPrice = sys.maxsize
price = 0
amount = 0
timeFrameStart = since
timeFrameEnd = int((since * 0.001 + timeframe) * 1000)
result = []
i = 0
orders = response.get('content')
isOpenPrice = True
openPrice = 0
closePrice = 0
while i < len(orders):
if isOpenPrice == True:
openPrice = orders[i].get('price')
isOpenPrice = False
time = orders[i].get('time')
if time >= timeFrameStart and time <= timeFrameEnd:
price = orders[i].get('price')
closePrice = price
if highestPrice < price:
highestPrice = price
if lowestPrice > price:
lowestPrice = price
amount += orders[i].get('amount')
i += 1
if i == len(orders):
self.add_frame(timeFrameStart, timeFrameEnd, timeframe, highestPrice, lowestPrice, amount, result, openPrice, closePrice)
else:
if lowestPrice == sys.maxsize:
lowestPrice = 0
openPrice = 0
closePrice = 0
i -= 1
self.add_frame(timeFrameStart, timeFrameEnd, timeframe, highestPrice, lowestPrice, amount, result, openPrice, closePrice)
timeFrameStart = timeFrameEnd + 1
timeFrameEnd = int((timeFrameEnd * 0.001 + timeframe) * 1000)
amount = 0
highestPrice = 0
lowestPrice = sys.maxsize
isOpenPrice = True
i += 1
return result
# timeframe variants:
# 1m (one minute);
# 1h (one hour);
# 1d (one day - 24 hours)
# 1w (one week - 7 days)
# 1mn (one mounth - 30 days)
def fetch_ohlcv(self, symbol, timeframe=None, since=0, limit=None, params={}):
# Response example:
# [
# [
# 1504541580000, // UTC timestamp in milliseconds, integer
# 4235.4, // (O)pen price, float
# 4240.6, // (H)ighest price, float
# 4230.0, // (L)owest price, float
# 4230.7, // (C)losing price, float
# 37.72941911 // (V)olume (in terms of the base currency), float
# ],
# ...
# ]
inputDataCheck = False
for frame in self.timeframes:
if frame == timeframe:
inputDataCheck = True
break
if inputDataCheck == False:
return {'error': 'Incorrect timeframe'}
tFrame = int(self.timeframes.get(timeframe)) * 60
default_order_amount_limit = 100
params['status'] = 'COMPLETED'
if 'page' in params:
params['pageNo'] = self.safe_string(params, 'page')
else:
params['pageNo'] = 0
if since is None:
since = 0
if limit is None:
limit = default_order_amount_limit
request = {
'symbol': symbol,
'since': since,
'pageSize': limit,
}
fullRequest = self.extend(request, params)
response = self.privatePostExchangeOrderAll(fullRequest)
return self.parse_ohlcv(response, since, tFrame)
def fetch_markets(self, symbol=''):
request = {
'symbol': symbol,
}
response = self.privatePostMarketSymbolInfo(request)
return self.parse_markets(response)
# RETURN EXAMPLE:
# [
# {
# 'id': 'BTC',
# 'symbol': 'BTC/USDT',
# 'base': 'BTC',
# 'quote': 'USDT',
# 'baseId': 'BTC',
# 'quoteId': 'USDT',
# 'type': 'NONE',
# 'active': 1,
# 'precision': { 'amount': 2, 'price': 2 },
# 'limits':
# {
# 'amount': { 'min': 0.0, 'max': 0.0 },
# 'price': { 'min': 0.0, 'max': 0.0 },
# 'cost': { 'min': 0.0, 'max': 0.0 }
# },
# 'taker': 0.001,
# 'maker': 0.001,
# 'info': {backend response}
# },
# ...
# ]
def load_markets(self, reload=False, symbol=''):
if not reload:
if self.markets:
if not self.markets_by_id:
return self.set_markets(self.markets)
return self.markets
currencies = None
if self.has['fetchCurrencies']:
currencies = self.fetch_currencies()
markets = self.fetch_markets(symbol)
return self.set_markets(markets, currencies)
def sign(self, path, api='public', method='GET', params={}, headers=None, body=None):
# Check existance of authentication token
# Just use empy one in case of an application is not signed in yet
authToken = ''
if 'token' in self.options:
authToken = self.options['token']
# Get URL
url = self.implode_params(self.urls['api'], {'hostname': self.hostname}) + '/' + path
# Calculate body and content type depending on method type: GET or POST
keys = list(params.keys())
keysLength = len(keys)
# In case of body is still not assigned just make it empty string
if body is None:
body = ''
# Prepare line for hashing
# This hash sum is checked on backend side to verify API user
# POST params should not be added as body
query = method + ' /' + path + ' ' + self.urlencode(params) + ' ' + authToken + '\n' + body
signed = self.hmac(self.encode(query), self.encode(self.secret))
contentType = None
if method == 'POST':
contentType = 'application/x-www-form-urlencoded'
if keysLength > 0:
body = self.urlencode(params)
else:
if keysLength > 0:
url += '?' + self.urlencode(params)
headers = {
'x-auth-sign': signed,
'x-auth-token': authToken,
}
if authToken != '':
headers['access-auth-token'] = authToken
if contentType is not None:
headers['Content-Type'] = contentType
return {'url': url, 'method': method, 'body': body, 'headers': headers}
def sign_in(self, params={}):
params = {
'key': self.key,
'token': self.token,
}
response = self.privatePostUcenterApiLogin(params)
loginData = response['data']
self.options['token'] = self.safe_string(loginData, 'token')
memberId = self.safe_string(loginData, 'id')
return memberId
def fetch_status(self):
# Responce examples:
# {'status': 'ok'}
# or
# {'status': 'shutdown', 'reason': 'ExchangeNotAvailable'}
# or
# {'status': 'shutdown', 'reason': 'Unknown reason'}
result = False
try:
response = self.privatePostExchangeExchangeCoinBaseSymbol()
for field in response.items():
if field[0] == 'message':
if field[1] == 'SUCCESS':
result = True
if result is True:
return {"status": "ok"}
else:
return {"status": "shutdown", "reason": "ExchangeNotAvailable"}
except:
reason = str(sys.exc_info()[0])
if reason.find('ExchangeNotAvailable') != -1:
return {"status": "shutdown", "reason": "ExchangeNotAvailable"}
else:
return {"status": "shutdown", "reason": "Unknown reason"}
def parse_currencies(self, response):
listData = []
for value in response:
tmp = {
'id': value.get('name'),
'code': value.get('name').upper(),
'name': value.get('name'),
'active': bool(value.get('status')),
'fee': 0.005,
'precision': 0,
'limits':
{
'amount':
{
'min': 'None',
'max': 'None',
},
'price':
{
'min': 'None',
'max': 'None',
},
'cost':
{
'min': 'None',
'max': 'None',
},
'withdraw':
{
'min': value.get('minWithdrawAmount'),
'max': value.get('maxWithdrawAmount'),
},
},
'info': value
}
listData.append(tmp)
return listData
def fetch_currencies(self):
# Responce example
#[
# {
# 'id': 'BTC',
# 'code': 'BTC',
# 'name': 'BTC',
# 'active': True,
# 'fee': 0.001,
# 'precision': 0,
# 'limits': // TPR exchange has no restrictions
# {
# 'amount':
# {
# 'min': 'None',
# 'max': 'None'
# },
# 'price':
# {
# 'min': 'None',
# 'max': 'None'
# },
# 'cost':
# {
# 'min': 'None',
# 'max': 'None'
# },
# 'withdraw':
# {
# 'min': 1.0,
# 'max': 5000.0
# }
# },
# 'info': { },
# },
# ...
#]
try:
response = self.privatePostMarketCoinsInfo()
return self.parse_currencies(response)
except:
reason = str(sys.exc_info()[0])
if reason.find('ExchangeNotAvailable') != -1:
return {"Error": "ExchangeNotAvailable"}
else:
return {"Error": "Unknown reason"}
def fetch_order(self, id, symbol=None, params={}):
request = {
'orderId': id,
}
response = self.privatePostExchangeOrderFind(request)
return self.parse_order(response)
def parse_order(self, order, market=None):
# {
# 'orderId':'E161183624377614',
# 'memberId':2,
# 'type':'LIMIT_PRICE',
# 'amount':1000.0,
# 'symbol':'BCH/USDT',
# 'tradedAmount':1000.0,
# 'turnover':1080.0,
# 'coinSymbol':'BCH',
# 'baseSymbol':'USDT',
# 'status':'COMPLETED',
# 'latestTradeTimestamp':1611836256242,
# 'direction':'SELL',
# 'price':1.0,
# 'time':1611836243776,
# 'completedTime':1611836256242,
# },
if not order:
return None
type = 'market'
if order['type'] == 'LIMIT_PRICE':
type = 'limit'
side = order['direction'].lower()
remaining = order['amount'] - order['tradedAmount']
status = order['status']
if status == 'COMPLETED':
status = 'closed'
elif status == 'TRADING' or status == 'PAUSED' or status == 'RESERVED':
status = 'open'
else:
status = 'canceled'
cost = order['tradedAmount'] * order['price']
result = {
'info': order,
'id': order['orderId'],
'clientOrderId': order['memberId'],
'timestamp': order['time'],
'datetime': self.iso8601(order['time']),
'latestTradeTimestamp': order['latestTradeTimestamp'],
'symbol': order['symbol'],
'type': type,
'timeInForce': None,
'postOnly': None,
'side': side,
'price': order['price'],
'stopPrice': None,
'cost': cost,
'average': None,
'amount': order['amount'],
'filled': order['tradedAmount'],
'remaining': remaining,
'status': status,
'fee': None,
'trades': None,
}
return result
def create_order(self, symbol, type, side, amount, price=None, params={}):
params['symbol'] = symbol
params['price'] = price
params['amount'] = amount
if side == 'buy':
params['direction'] = 'BUY'
else:
params['direction'] = 'SELL'
if type == 'market':
params['type'] = 'MARKET_PRICE'
else:
params['type'] = 'LIMIT_PRICE'
params['useDiscount'] = '0'
response = self.privatePostExchangeOrderAdd(params)
orderId = self.safe_string(response, 'data')
return self.fetch_order(orderId)
def cancel_order(self, id, symbol=None, params={}):
request = {
'orderId': id,
}
response = self.privatePostExchangeOrderApicancel(self.extend(request, params))
return self.parse_order(response['data'])
def fetch_orders(self, symbol=None, since=None, limit=None, params={}):
# Request structure
# {
# 'symbol': Parameter from method arguments
# 'since': Timestamp of first order in list in Unix epoch format
# 'limit': Response list size
# 'memberId': May be set in params. May be not set
# 'status': one of TRADING COMPLETED CANCELED OVERTIMED. May be set in params
# 'page': for pagination. In self case limit is size of every page. May be set in params
# }
default_order_amount_limit = 10000
if 'page' in params:
params['pageNo'] = self.safe_string(params, 'page')
else:
params['pageNo'] = 0
if symbol is None:
symbol = ''
if since is None:
since = 0
if limit is None:
limit = default_order_amount_limit
request = {
'symbol': symbol,
'since': since,
'pageSize': limit,
}
fullRequest = self.extend(request, params)
response = self.privatePostExchangeOrderAll(fullRequest)
# {
# 'content': [
# {
# 'orderId':'E161183624377614',
# 'memberId':2,
# 'type':'LIMIT_PRICE',
# 'amount':1000.0,
# 'symbol':'BCH/USDT',
# 'tradedAmount':1000.0,
# 'turnover':1080.0,
# 'coinSymbol':'BCH',
# 'baseSymbol':'USDT',
# 'status':'COMPLETED',
# 'direction':'SELL',
# 'price':1.0,
# 'time':1611836243776,
# 'completedTime':1611836256242,
# },
# ...
# ],
# 'totalElements':41,
# 'totalPages':3,
# 'last':False,
# 'size':20,
# 'number':1,
# 'first':False,
# 'numberOfElements':20,
# 'sort': [
# {
# 'direction':'DESC',
# 'property':'time',
# 'ignoreCase':False,
# 'nullHandling':'NATIVE',
# 'ascending':False,
# 'descending':True,
# }
# ]
# }
return self.parse_orders(response['content'])
def fetch_open_orders(self, symbol=None, since=None, limit=None, params={}):
# Request structure
# {
# 'symbol': Parameter from method arguments
# 'since': Timestamp of first order in list in Unix epoch format
# 'limit': Response list size
# 'memberId': May be set in params. May be not set
# 'status': one of TRADING COMPLETED CANCELED OVERTIMED. May be set in params
# 'page': for pagination. In self case limit is size of every page. May be set in params
# }
default_order_amount_limit = 20
if 'page' in params:
params['pageNo'] = self.safe_string(params, 'page')
else:
params['pageNo'] = 0
if symbol is None:
symbol = ''
if since is None:
since = 0
if limit is None:
limit = default_order_amount_limit
request = {
'symbol': symbol,
'since': since,
'pageSize': limit,
}
fullRequest = self.extend(request, params)
response = self.privatePostExchangeOrderAll(fullRequest)
# {
# 'content': [
# {
# 'orderId':'E161183624377614',
# 'memberId':2,
# 'type':'LIMIT_PRICE',
# 'amount':1000.0,
# 'symbol':'BCH/USDT',
# 'tradedAmount':1000.0,
# 'turnover':1080.0,
# 'coinSymbol':'BCH',
# 'baseSymbol':'USDT',
# 'status':'COMPLETED',
# 'direction':'SELL',
# 'price':1.0,
# 'time':1611836243776,
# 'completedTime':1611836256242,
# },
# ...
# ],
# 'totalElements':41,
# 'totalPages':3,
# 'last':False,
# 'size':20,
# 'number':1,
# 'first':False,
# 'numberOfElements':20,
# 'sort': [
# {
# 'direction':'DESC',
# 'property':'time',
# 'ignoreCase':False,
# 'nullHandling':'NATIVE',
# 'ascending':False,
# 'descending':True,
# }
# ]
# }
return self.parse_orders(response['content'])
def fetch_closed_orders(self, symbol=None, since=None, limit=None, params={}):
# Request structure
# {
# 'symbol': Parameter from method arguments
# 'since': Timestamp of first order in list in Unix epoch format
# 'limit': Response list size
# 'memberId': May be set in params. May be not set
# 'status': one of TRADING COMPLETED CANCELED OVERTIMED. May be set in params
# 'page': for pagination. In self case limit is size of every page. May be set in params
# }
default_order_amount_limit = 20
params['status'] = 'CANCELED'
if 'page' in params:
params['pageNo'] = self.safe_string(params, 'page')
else:
params['pageNo'] = 0
if symbol is None:
symbol = ''
if since is None:
since = 0
if limit is None:
limit = default_order_amount_limit
request = {
'symbol': symbol,
'since': since,
'pageSize': limit,
}
fullRequest = self.extend(request, params)
response = self.privatePostExchangeOrderAll(fullRequest)
# {
# 'content': [
# {
# 'orderId':'E161183624377614',
# 'memberId':2,
# 'type':'LIMIT_PRICE',
# 'amount':1000.0,
# 'symbol':'BCH/USDT',
# 'tradedAmount':1000.0,
# 'turnover':1080.0,
# 'coinSymbol':'BCH',
# 'baseSymbol':'USDT',
# 'status':'COMPLETED',
# 'direction':'SELL',
# 'price':1.0,
# 'time':1611836243776,
# 'completedTime':1611836256242,
# },
# ...
# ],
# 'totalElements':41,
# 'totalPages':3,
# 'last':False,
# 'size':20,
# 'number':1,
# 'first':False,
# 'numberOfElements':20,
# 'sort': [
# {
# 'direction':'DESC',
# 'property':'time',
# 'ignoreCase':False,
# 'nullHandling':'NATIVE',
# 'ascending':False,
# 'descending':True,
# }
# ]
# }
return self.parse_orders(response['content'])
# If call without params the function returns balance of current user
def fetch_balance(self, uid='-1', params={}):
params = {
'uid': uid
}
try:
response = self.privatePostUcenterMemberBalance(params)
except Exception as e:
return e
return self.parse_balance(response)
def parse_balance(self, response):
data = json.loads(json.dumps(response))
if data['message'] == 'SUCCESS':
result = { "free":{}, "used":{}, "total":{}}
for row in data['data']['balances']:
result['free'].update({row['coinName']:row['free']})
result['used'].update({row['coinName']:row['used']})
result['total'].update({row['coinName']:row['total']})
result.update({row['coinName']:{'free':row['free'], 'used':row['used'], 'total':row['total']}})
return result
# Returns int or None
def get_market_price(self, symbol):
response = self.privatePostMarketSymbolThumb()
for i in response:
if i.get('symbol') == symbol:
return i.get('close')
def fetch_trades(self, orderId, since, pageNo=None, pageSize=None):
# Responce example:
# [
# {
# 'info': { backend response },
# 'id': 'E161460499516968',
# 'timestamp': 1614605187661,
# 'datetime': '2021-03-01 15:26:27.661000',
# 'symbol': 'BTC/USDT',
# 'order': 'E161460499516968',
# 'type': 'LIMIT_PRICE',
# 'side': 'SELL',
# 'takerOrMaker': 'None', (Have no this information inside TPR exchange)
# 'price': 1.0,
# 'amount': 1.0,
# 'cost': 1.0,
# 'fee':
# {
# 'cost': 0.005,
# 'currency': 'BTC',
# 'rate': 'None' (Have no this information inside TPR exchange)
# }
# }
# ]
if pageNo is None:
pageNo = 0
if pageSize is None:
pageSize = 100
request = { 'orderId': orderId,
'since': since,
'pageNo': pageNo,
'pageSize': pageSize }
return self.parse_trade(self.privatePostExchangeOrderTrades(request))
def parse_trade(self, response):
trades = []
content = response.get('content')
for exchangeTrade in content:
timestamp = exchangeTrade.get('time')
datetime_ = str(datetime.fromtimestamp(int(timestamp) * 0.001))
price = exchangeTrade.get('price')
amount = exchangeTrade.get('amount')
cost = price * amount
tmp = {
'info': exchangeTrade,
'id': exchangeTrade.get('orderId'),
'timestamp': timestamp,
'datetime': datetime_,
'symbol': exchangeTrade.get('symbol'),
'order': exchangeTrade.get('orderId'),
'type': exchangeTrade.get('type'),
'side': exchangeTrade.get('direction'),
'takerOrMaker': 'None',
'price': price,
'amount': amount,
'cost': cost,
'fee':
{
'cost': exchangeTrade.get('fee'),
'currency': exchangeTrade.get('coinSymbol'),
'rate': 'None',
}
}
trades.append(tmp)
return trades
def parse_my_trades(self, response):
listData = []
for value in response:
ExchangeOrder = response.get(value)
id_ = ExchangeOrder.get('orderId')
timestamp = ExchangeOrder.get('time')
datetime_ = str(datetime.fromtimestamp(int(timestamp) * 0.001))
price = ExchangeOrder.get('price')
amount = ExchangeOrder.get('amount')
cost = price * amount
tmp = {
'info': response.get(value),
'id': id_,
'timestamp': timestamp,
'datetime': datetime_,
'symbol': ExchangeOrder.get('symbol'),
'order': id_,
'type': ExchangeOrder.get('type'),
'side': ExchangeOrder.get('direction'),
'takerOrMaker': 'None',
'price': price,
'amount': amount,
'cost': cost,
'fee':
{
'cost': ExchangeOrder.get('fee'),
'currency': ExchangeOrder.get('coinSymbol'),
'rate': 'None',
}
}
listData.append(tmp)
return listData
def fetch_my_trades(self, pageNo=None, pageSize=None):
# Responce example:
# [
# {
# 'info': { backend response },
# 'id': 'E161460499516968',
# 'timestamp': 1614605187661,
# 'datetime': '2021-03-01 15:26:27.661000',
# 'symbol': 'BTC/USDT',
# 'order': 'E161460499516968',
# 'type': 'LIMIT_PRICE',
# 'side': 'SELL',
# 'takerOrMaker': 'None', (Have no this information inside TPR exchange)
# 'price': 1.0,
# 'amount': 1.0,
# 'cost': 1.0,
# 'fee':
# {
# 'cost': 0.001,
# 'currency': 'BTC',
# 'rate': 'None' (Have no this information inside TPR exchange)
# }
# },
# { ... },
# ]
if pageNo is None:
pageNo = 0
if pageSize is None:
pageSize = 100
request = { 'orderId': '',
'pageNo': pageNo,
'pageSize': pageSize }
return self.parse_my_trades(self.privatePostExchangeOrderMyTrades(request))
def handle_errors(self, httpCode, reason, url, method, headers, body, response, requestHeaders, requestBody):
if response is None:
return # fallback to default error handler
if httpCode == 200:
if 'code' in response:
if response['code'] == 0:
return
else:
return
# {
# "message": "Error text in case when HTTP code is not 200",
# ...
# }
message = self.safe_string(response, 'message')
if message is not None:
feedback = self.id + ' ' + body
self.throw_exactly_matched_exception(self.exceptions['exact'], message, feedback)
self.throw_broadly_matched_exception(self.exceptions['broad'], message, feedback)
raise ExchangeError(feedback) # unknown message
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raw_data_euzi.py | thiagolcmelo/benchmark | 0 | 113750 | <reponame>thiagolcmelo/benchmark<gh_stars>0
# coding: utf-8
# In[37]:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from scipy.spatial.distance import cdist
from sklearn.preprocessing import StandardScaler
plt.rcParams['figure.figsize'] = 14, 8
# In[76]:
n = 6
files = np.load('res_numeric_iter.npz')
res_numeric_iter = files['arr_0']
files = np.load('res_numeric_time.npz')
res_numeric_time = files['arr_0']
# In[10]:
# for j in range(n):
# chebyshev = []
# for res in res_numeric_iter:
# chebyshev.append(res['chebyshev'][j])
# plt.semilogy([i * 1e5 for i in range(1,11)], chebyshev, label='Chebyshev_state_%d' % j)
for j in range(n):
chebyshev = []
for res in res_numeric_time:
chebyshev.append(res['chebyshev'][j])
plt.semilogy([60 * i for i in range(1,6)], chebyshev, label='sqeuclidian_state_%d' % j)
plt.legend()
plt.show()
# In[73]:
res_iterations = []
for j in range(n):
precisions = []
chebyshev = []
seuclidean = []
sqeuclidean = []
for res in res_numeric_iter:
precisions.append(res['precisions'][j])
chebyshev.append(res['chebyshev'][j])
seuclidean.append(res['seuclidean'][j])
sqeuclidean.append(res['sqeuclidean'][j])
iterations = [i * 1e5 for i in range(1,11)]
for i, it in enumerate(iterations):
res_iterations.append({
'state': j,
'iterations': it,
'eigenvalue_precision': precisions[i],
'eigenstate_chebyshev': chebyshev[i],
'eigenstate_seuclidean': seuclidean[i],
'eigenstate_sqeuclidean': sqeuclidean[i],
})
res_iterations = pd.DataFrame(res_iterations)
for j in range(6):
j_es = res_iterations.loc[res_iterations['state'] == j]
plt.semilogy(j_es['iterations'], j_es['eigenstate_sqeuclidean'], label='state_%d' % j)
plt.legend()
plt.show()
chebyshev = res_iterations.pivot(index='iterations', columns='state', values='eigenstate_chebyshev').reset_index(level=0)
sqeuclidean = res_iterations.pivot(index='iterations', columns='state', values='eigenstate_sqeuclidean').reset_index(level=0)
chebyshev.to_csv('oscilador_harmonica_quantico_por_iteracoes_chebyshev.csv', index=False)
sqeuclidean.to_csv('oscilador_harmonica_quantico_por_iteracoes_sqeuclidean.csv', index=False)
# In[77]:
res_timers = []
for j in range(n):
precisions = []
chebyshev = []
seuclidean = []
sqeuclidean = []
for res in res_numeric_time:
precisions.append(res['precisions'][j])
chebyshev.append(res['chebyshev'][j])
seuclidean.append(res['seuclidean'][j])
sqeuclidean.append(res['sqeuclidean'][j])
timers = [60 * i for i in range(1,6)]
for i, tim in enumerate(timers):
res_timers.append({
'state': j,
'time': tim,
'eigenvalue_precision': precisions[i],
'eigenstate_chebyshev': chebyshev[i],
'eigenstate_seuclidean': seuclidean[i],
'eigenstate_sqeuclidean': sqeuclidean[i],
})
res_timers = pd.DataFrame(res_timers)
for j in range(6):
j_es = res_timers.loc[res_timers['state'] == j]
plt.semilogy(j_es['time'], j_es['eigenstate_sqeuclidean'], label='state_%d' % j)
plt.legend()
plt.show()
chebyshev = res_timers.pivot(index='time', columns='state', values='eigenstate_chebyshev').reset_index(level=0)
sqeuclidean = res_timers.pivot(index='time', columns='state', values='eigenstate_sqeuclidean').reset_index(level=0)
chebyshev.to_csv('oscilador_harmonica_quantico_por_tempo_chebyshev.csv', index=False)
sqeuclidean.to_csv('oscilador_harmonica_quantico_por_tempo_sqeuclidean.csv', index=False)
| [
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] |
common/responses.py | mungujn/pick-a-seat-backend-py | 0 | 112306 | <filename>common/responses.py<gh_stars>0
from flask import jsonify
import common.logger as log
def respondInternalServerError(message='Internal server error', error=None):
'''Returns an object which flask will parse and transform into a 500 response'''
log.info('Responding internal server error')
log.info('*'.center(20, '-'))
if error is not None:
print(error)
return (jsonify({
'code': 500,
'message': message
}), 500)
def respondBadRequest(message='Invalid data sent'):
'''Returns an object which flask will parse and transform into a 400 response'''
log.info('Responding bad request')
log.info('*'.center(20, '-'))
return (jsonify({
'code': 400,
'message': message
}), 400)
def respondUnauthorized(message):
'''Returns an object which flask will parse and transform into a 401 response'''
log.info('Responding unauthorized')
log.info('*'.center(20, '-'))
return (jsonify({
'code': 401,
'message': message
}), 401)
def respondCreated(data):
'''Returns an object which flask will parse and transform into a 201 response'''
log.info('Responding created')
log.info('*'.center(20, '-'))
return (jsonify(data), 201)
def respondOk(data):
'''Returns an object which flask will parse and transform into a 200 response'''
log.info('Responding OK')
log.info('*'.center(20, '-'))
return (jsonify({
'code': 200,
'message': data
}), 200)
def respondWithData(data):
'''Returns an object which flask will parse and transform into a 200 response
. This response json will be of the form
{
'code': 200,
'key_1': 'value_1',
'key_n': 'value_n'
}
'''
log.info('Responding with data')
log.info('*'.center(20, '-'))
t = {'code': 200}
data = {**t, **data}
return (jsonify(data), 200)
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1598,
29898,
1272,
511,
29871,
29906,
29900,
29900,
29897,
13,
2
] |
test_nn.py | eric93/sceneparsing | 0 | 194985 | import run
import scipy.misc
import matplotlib.pyplot as plt
import numpy as np
im = scipy.misc.imread("sampleData/images/ADE_val_00000003.jpg")
ima = scipy.misc.imread("sampleData/annotations/ADE_val_00000003.png")
imnn = run.run_nn(im)
#imnn = run.run_nn_full(im)
print np.sum(imnn == ima),"/",len(ima) * len(ima[0])
plt.subplot(2,1,1)
run.display_annotation(imnn)
plt.subplot(2,1,2)
run.display_annotation(ima - 1)
plt.show()
| [
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] |
ShotgunORM/SgScriptFields.py | TheThirdFloor/python-shotgunorm | 19 | 157126 | <filename>ShotgunORM/SgScriptFields.py
# Copyright (c) 2013, <NAME> - NFXPlugins
# 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 NFXPlugins 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 NFXPLUGINS 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.
#
__all__ = [
'SgScriptFieldCheckbox',
'SgScriptFieldColor',
'SgScriptFieldColor2',
'SgScriptFieldDate',
'SgScriptFieldDateTime',
'SgScriptFieldEntity',
'SgScriptFieldEntityMulti',
'SgScriptFieldFloat',
'SgScriptFieldInt',
'SgScriptFieldSelectionList',
'SgScriptFieldTagList',
'SgScriptFieldText'
]
# Python imports
import types
# This module imports
import ShotgunORM
class SgScriptFieldCheckbox(ShotgunORM.SgScriptField):
'''
Script engine checkbox field class.
'''
def __eq__(self, value):
if value != None:
try:
value = bool(value)
except:
raise TypeError('expected a bool, got %s' % type(value).__name__)
return {
'value': value,
'op': 'is',
'neop': None
}
def __ne__(self, value):
if value != None:
try:
value = bool(value)
except:
raise TypeError('expected a bool, got %s' % type(value).__name__)
return {
'value': value,
'op': 'is_not',
'neop': None
}
class SgScriptFieldColor(ShotgunORM.SgScriptField):
'''
Script engine color field class.
'''
def __eq__(self, value):
if value != None:
if isinstance(value, str):
pass
elif isinstance(value, (list, tuple)):
if len(value) != 3:
raise ValueError('list requires exactly 3 elements')
value = '%s,%s,%s' % tuple(value)
else:
raise TypeError('expected a str or list of ints, got %s' % type(value).__name__)
return {
'value': value,
'op': 'is',
'neop': None
}
def __ne__(self, value):
if not isinstance(value, types.NoneType):
if isinstance(value, str):
pass
elif isinstance(value, (list, tuple)):
if len(value) != 3:
raise ValueError('list requires exactly 3 elements')
value = '%s,%s,%s' % tuple(value)
else:
raise TypeError('expected a str or list of ints, got %s' % type(value).__name__)
return {
'value': value,
'op': 'is_not',
'neop': None
}
class SgScriptFieldColor2(SgScriptFieldColor):
'''
Script engine color2 field class.
'''
pass
class SgScriptFieldDate(ShotgunORM.SgScriptField):
'''
Script engine date field class.
'''
def __eq__(self, value):
if not isinstance(value, (datetime.datetime, str, types.NoneType)):
raise TypeError('expected (datetime, str, None), got %s' % type(value).__name__)
return {
'value': value,
'op': 'is',
'neop': None
}
def __ne__(self, value):
if not isinstance(value, (datetime.datetime, str, types.NoneType)):
raise TypeError('expected (datetime, str, None), got %s' % type(value).__name__)
return {
'value': value,
'op': 'is_not',
'neop': None
}
def __lt__(self, value):
if not isinstance(value, (datetime.datetime, str, types.NoneType)):
raise TypeError('expected (datetime, str, None), got %s' % type(value).__name__)
return {
'value': value,
'op': 'less_than',
'neop': None
}
def __gt__(self, value):
if not isinstance(value, (datetime.datetime, str, types.NoneType)):
raise TypeError('expected (datetime, str, None), got %s' % type(value).__name__)
return {
'value': value,
'op': 'greater_than',
'neop': None
}
def _in(self, value):
if isinstance(value, (list, tuple)):
if not all(isinstance(x, (datetime.datetime, str)) for x in value):
raise TypeError('expected (datetime, str, None) in list')
elif not isinstance(value, (datetime.datetime, str, types.NoneType)):
raise TypeError('expected (datetime, str, None), got %s' % type(value).__name__)
return {
'value': value,
'op': 'in',
'neop': 'not_in'
}
def between(self, a, b):
if not isinstance(a, (datetime.datetime, str, types.NoneType)):
raise TypeError('expected (datetime, str, None), got %s' % type(value).__name__)
if not isinstance(b, (datetime.datetime, str, types.NoneType)):
raise TypeError('expected (datetime, str, None), got %s' % type(value).__name__)
return {
'value': [a, b],
'op': 'between',
'neop': 'not_between'
}
def in_day(self, value):
try:
value = int(n)
except:
raise TypeError('expected an int, got %s' % type(value).__name__)
return {
'value': value,
'op': 'in_calendar_day',
'neop': None
}
def in_last(self, n, t):
if not t in ['HOUR','DAY', 'WEEK', 'MONTH', 'YEAR']:
raise ValueError('invalid time spec "%s", valid %s' % (t, ['HOUR','DAY', 'WEEK', 'MONTH', 'YEAR']))
try:
n = int(n)
except:
raise TypeError('expected an int, got %s' % type(n).__name__)
return {
'value': [n, t],
'op': 'in_last',
'neop': 'not_in_last'
}
def in_month(self, value):
try:
value = int(n)
except:
raise TypeError('expected an int, got %s' % type(value).__name__)
return {
'value': value,
'op': 'in_calendar_month',
'neop': None
}
def in_next(self, n, t):
if not t in ['HOUR','DAY', 'WEEK', 'MONTH', 'YEAR']:
raise ValueError('invalid time spec "%s", valid %s' % (t, ['HOUR','DAY', 'WEEK', 'MONTH', 'YEAR']))
try:
n = int(n)
except:
raise TypeError('expected an int, got %s' % type(n).__name__)
return {
'value': [n, t],
'op': 'in_next',
'neop': 'not_in_next'
}
def in_week(self, value):
try:
value = int(n)
except:
raise TypeError('expected an int, got %s' % type(value).__name__)
return {
'value': value,
'op': 'in_calendar_week',
'neop': None
}
def in_year(self, value):
try:
value = int(n)
except:
raise TypeError('expected an int, got %s' % type(value).__name__)
return {
'value': value,
'op': 'in_calendar_year',
'neop': None
}
class SgScriptFieldDateTime(SgScriptFieldDate):
'''
Script engine datetime field class.
'''
pass
class SgScriptFieldEntity(ShotgunORM.SgScriptField):
'''
Script engine entity field class.
'''
def _in(self, value):
if isinstance(value, (list, tuple)):
if not all(isinstance(x, (ShotgunORM.SgEntity, dict)) for x in value):
raise TypeError('expected (ShotgunORM.SgEntity, dict, list in list')
tmp = []
for i in value:
try:
tmp.append(i.toEntityFieldData())
except AttributeError:
tmp.append(i)
value = tmp
elif isinstance(value, ShotgunORM.SgEntity):
value = [value.toEntityFieldData()]
elif isinstance(value, dict):
value = [value]
else:
raise TypeError('expected (ShotgunORM.SgEntity, dict, list), got %s' % type(value).__name__)
return {
'value': value,
'op': 'in',
'neop': 'not_in'
}
def __eq__(self, value):
if isinstance(value, (dict, types.NoneType)):
pass
elif isinstance(value, ShotgunORM.SgEntity):
value = value.toEntityFieldData()
else:
raise TypeError('expected a (ShotgunORM.SgEntity, dict, None), got %s' % type(value).__name__)
return {
'value': value,
'op': 'is',
'neop': None
}
def __ne__(self, value):
if isinstance(value, (dict, types.NoneType)):
pass
elif isinstance(value, ShotgunORM.SgEntity):
value = value.toEntityFieldData()
else:
raise TypeError('expected a (ShotgunORM.SgEntity, dict, None), got %s' % type(value).__name__)
return {
'value': value,
'op': 'is_not',
'neop': None
}
def name_contains(self, value):
if not isinstance(value, str):
raise TypeError('expected a str, got %s' % type(value).__name__)
return {
'value': value,
'op': 'name_contains',
'neop': 'name_not_contains'
}
def name_is(self, value):
if not isinstance(value, str):
raise TypeError('expected a str, got %s' % type(value).__name__)
return {
'value': value,
'op': 'name_is',
'neop': None
}
def type(self, value):
if value != None:
if isinstance(value, ShotgunORM.SgEntity):
value = value.type
elif not isinstance(value, str):
raise TypeError('expected a str, got %s' % type(value).__name__)
return {
'value': value,
'op': 'type_is',
'neop': 'type_is_not'
}
class SgScriptFieldEntityMulti(SgScriptFieldEntity):
'''
Script engine entity-multi field class.
'''
def name_is(self, value):
raise RuntimeError('function not supported')
class SgScriptFieldFloat(ShotgunORM.SgScriptField):
'''
Script engine float field class.
'''
def __eq__(self, value):
if value != None:
try:
value = float(value)
except:
raise TypeError('expected a float, got %s' % type(value).__name__)
return {
'value': value,
'op': 'is',
'neop': None
}
def __ne__(self, value):
if value != None:
try:
value = float(value)
except:
raise TypeError('expected a float, got %s' % type(value).__name__)
return {
'value': value,
'op': 'is_not',
'neop': None
}
def __lt__(self, value):
try:
value = float(value)
except:
raise TypeError('expected a float, got %s' % type(value).__name__)
return {
'value': value,
'op': 'less_than',
'neop': None
}
def __gt__(self, value):
try:
value = float(value)
except:
raise TypeError('expected a float, got %s' % type(value).__name__)
return {
'value': value,
'op': 'greater_than',
'neop': None
}
def _in(self, value):
if isinstance(value, (list, tuple)):
tmp = []
try:
for i in value:
tmp.append(float(i))
except:
raise TypeError('expected a list of floats, %s' % value)
value = tmp
else:
try:
value = float(value)
except:
raise TypeError('expected a float, got %s' % type(value).__name__)
return {
'value': value,
'op': 'in',
'neop': 'not_in'
}
def between(self, a, b):
try:
a = float(a)
except:
raise TypeError('expected a float, got %s' % type(a).__name__)
try:
b = float(b)
except:
raise TypeError('expected a float, got %s' % type(b).__name__)
return {
'value': [a, b],
'op': 'between',
'neop': 'not_between'
}
class SgScriptFieldInt(ShotgunORM.SgScriptField):
'''
Script engine int field class.
'''
def __eq__(self, value):
if value != None:
try:
value = int(value)
except:
raise TypeError('expected a int, got %s' % type(value).__name__)
return {
'value': value,
'op': 'is',
'neop': None
}
def __ne__(self, value):
if value != None:
try:
value = int(value)
except:
raise TypeError('expected a int, got %s' % type(value).__name__)
return {
'value': value,
'op': 'is_not',
'neop': None
}
def __lt__(self, value):
try:
value = int(value)
except:
raise TypeError('expected an int, got %s' % type(value).__name__)
return {
'value': value,
'op': 'less_than',
'neop': None
}
def __gt__(self, value):
try:
value = int(value)
except:
raise TypeError('expected an int, got %s' % type(value).__name__)
return {
'value': value,
'op': 'greater_than',
'neop': None
}
def _in(self, value):
if isinstance(value, (list, tuple)):
tmp = []
try:
for i in value:
tmp.append(int(i))
except:
raise TypeError('expected a list of int, %s' % value)
value = tmp
else:
try:
value = int(value)
except:
raise TypeError('expected a int, got %s' % type(value).__name__)
return {
'value': value,
'op': 'in',
'neop': 'not_in'
}
def between(self, a, b):
try:
a = int(a)
except:
raise TypeError('expected a int, got %s' % type(a).__name__)
try:
b = int(b)
except:
raise TypeError('expected a int, got %s' % type(b).__name__)
return {
'value': [a, b],
'op': 'between',
'neop': 'not_between'
}
class SgScriptFieldText(ShotgunORM.SgScriptField):
'''
Script engine text field class.
'''
def __eq__(self, value):
if not isinstance(value, (str, types.NoneType)):
raise TypeError('expected a str, got %s' % type(value).__name__)
return {
'value': value,
'op': 'is',
'neop': None
}
def __ne__(self, value):
if not isinstance(value, (str, types.NoneType)):
raise TypeError('expected a str, got %s' % type(value).__name__)
return {
'value': value,
'op': 'is_not',
'neop': None
}
def _in(self, value):
if isinstance(value, (list, tuple)):
if not all(isinstance(x, str) for x in value):
raise TypeError('expected a list of strings')
return {
'value': value,
'op': 'in',
'neop': 'not_in'
}
def contains(self, value):
if not isinstance(value, str):
raise TypeError('expected a str, got %s' % type(value).__name__)
return {
'value': value,
'op': 'contains',
'neop': 'not_contains'
}
def endswith(self, value):
if not isinstance(value, str):
raise TypeError('expected a str, got %s' % type(value).__name__)
return {
'value': value,
'op': 'ends_with',
'neop': None
}
def startswith(self, value):
if not isinstance(value, str):
raise TypeError('expected a str, got %s' % type(value).__name__)
return {
'value': value,
'op': 'starts_with',
'neop': None
}
class SgScriptFieldSelectionList(SgScriptFieldText):
'''
Script engine selection list field class.
'''
pass
class SgScriptFieldTagList(ShotgunORM.SgScriptField):
'''
Script engine tag list field class.
'''
def __eq__(self, value):
if not isinstance(value, (str, types.NoneType)):
raise TypeError('expected a str, got %s' % type(value).__name__)
return {
'value': value,
'op': 'is',
'neop': None
}
def __ne__(self, value):
if not isinstance(value, (str, types.NoneType)):
raise TypeError('expected a str, got %s' % type(value).__name__)
return {
'value': value,
'op': 'is_not',
'neop': None
}
def name_contains(self, value):
if not isinstance(value, str):
raise TypeError('expected a str, got %s' % type(value).__name__)
return {
'value': value,
'op': 'name_contains',
'neop': 'name_not_contains'
}
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PONG_GAME.py | espr3so/Python | 0 | 43687 | <filename>PONG_GAME.py<gh_stars>0
# Pong Game in Codeskulptor
import simpleguitk as simplegui
import random
WIDTH = 600
HEIGHT = 400
BALL_RADIUS = 20
PAD_WIDTH = 8
PAD_HEIGHT = 80
HALF_PAD_WIDTH = PAD_WIDTH / 2
HALF_PAD_HEIGHT = PAD_HEIGHT / 2
LEFT = False
RIGHT = True
score1 = 0
score2 = 0
paddle1_pos = 0
paddle2_pos = 0
paddle1_vel = 0
paddle2_vel = 0
def spawn_ball(direction):
global ball_pos, ball_vel # these are vectors stored as lists
ball_pos = [WIDTH/2 , HEIGHT/2]
if direction == RIGHT:
ball_vel = [ random.randrange(120, 240)/60, random.randrange(60, 180)/60]
elif direction == LEFT:
ball_vel = [ -random.randrange(120, 240)/60, random.randrange(60, 180)/60]
def reset():
global ball_pos, score1, score2
ball_pos = [WIDTH/2 , HEIGHT/2]
score1 = 0
score2 = 0
def new_game():
global paddle1_pos, paddle2_pos, paddle1_vel, paddle2_vel
global score1, score2
reset()
spawn_ball(RIGHT)
def draw(canvas):
global paddle1_pos, paddle2_pos, ball_pos, ball_vel,paddle1_vel, paddle2_vel, BALL_RADIUS
global score1, score2
canvas.draw_line([WIDTH / 2, 0],[WIDTH / 2, HEIGHT], 1, "White")
canvas.draw_line([PAD_WIDTH, 0],[PAD_WIDTH, HEIGHT], 1, "White")
canvas.draw_line([WIDTH - PAD_WIDTH, 0],[WIDTH - PAD_WIDTH, HEIGHT], 1, "White")
ball_pos[0] += ball_vel[0]
ball_pos[1] += ball_vel[1]
if ball_pos[0] <= BALL_RADIUS + PAD_WIDTH or ball_pos[0] >= WIDTH - BALL_RADIUS - PAD_WIDTH:
ball_vel[0] = -ball_vel[0]
elif ball_pos[1] <= BALL_RADIUS + PAD_WIDTH or ball_pos[1] >= HEIGHT - BALL_RADIUS - PAD_WIDTH:
ball_vel[1] = -ball_vel[1]
canvas.draw_circle( ball_pos ,BALL_RADIUS , 1, "White","White")
paddle1_pos += paddle1_vel
paddle2_pos += paddle2_vel
if paddle1_pos <= -HEIGHT/2 + PAD_HEIGHT/2 :
paddle1_pos = -HEIGHT/2 + PAD_HEIGHT/2
elif paddle1_pos >= HEIGHT/2 -PAD_HEIGHT/2:
paddle1_pos = HEIGHT/2 - PAD_HEIGHT/2
if paddle2_pos <= -HEIGHT/2 + PAD_HEIGHT/2 :
paddle2_pos = -HEIGHT/2 + PAD_HEIGHT/2
elif paddle2_pos >= HEIGHT/2 -PAD_HEIGHT/2:
paddle2_pos = HEIGHT/2 - PAD_HEIGHT/2
canvas.draw_line([PAD_WIDTH/2, paddle1_pos + HEIGHT/2 - PAD_HEIGHT/2] ,[ PAD_WIDTH/2, paddle1_pos + PAD_HEIGHT/2 + HEIGHT/2] , 10, "White")
canvas.draw_line([WIDTH - PAD_WIDTH/2, paddle2_pos + HEIGHT/2 - PAD_HEIGHT/2] ,[WIDTH - PAD_WIDTH/2, PAD_HEIGHT/2 + paddle2_pos + HEIGHT/2] , 10, "White")
if (ball_pos[1] <= (paddle1_pos + HEIGHT/2 - PAD_HEIGHT/2) or ball_pos[1] >= (paddle1_pos + PAD_HEIGHT/2 + HEIGHT/2)) and ball_pos[0] == (PAD_WIDTH + BALL_RADIUS):
score2 += 1
else :
pass
if (ball_pos[1] <= (paddle2_pos + HEIGHT/2 - PAD_HEIGHT/2) or ball_pos[1] >= (paddle2_pos + PAD_HEIGHT/2 + HEIGHT/2)) and ball_pos[0] == (WIDTH - PAD_WIDTH - BALL_RADIUS):
score1 += 1
else:
pass
canvas.draw_text( str(score1) , (250,30) , 40 , "White")
canvas.draw_text( str(score2) , (330,30) , 40 , "White")
def keydown(key):
global paddle1_vel, paddle2_vel
if key == simplegui.KEY_MAP["down"]:
paddle1_vel = 2
elif key == simplegui.KEY_MAP["up"]:
paddle1_vel = -2
if key == simplegui.KEY_MAP["w"]:
paddle2_vel = -2
elif key == simplegui.KEY_MAP["s"]:
paddle2_vel = 2
def keyup(key):
global paddle1_vel, paddle2_vel
if key == simplegui.KEY_MAP["down"] or key == simplegui.KEY_MAP["up"]:
paddle1_vel = 0
if key == simplegui.KEY_MAP["w"] or key == simplegui.KEY_MAP["s"]:
paddle2_vel = 0
frame = simplegui.create_frame("Pong", WIDTH, HEIGHT)
frame.set_draw_handler(draw)
frame.set_keydown_handler(keydown)
frame.set_keyup_handler(keyup)
frame.add_button("Restart",reset)
new_game()
print()
frame.start()
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] |
files/metacentrum.py | crocs-muni/rtt-deployment | 2 | 1613738 | <gh_stars>1-10
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import argparse
import logging
import os
import time
import hashlib
import subprocess
import sys
logger = logging.getLogger(__name__)
JOB_TEMPLATE = """#!/bin/bash
# set a handler to clean the SCRATCHDIR once finished
trap "clean_scratch" TERM EXIT
export HMDIR="{{{STORAGE_ROOT}}}"
export BASEDR="$HMDIR/rtt_worker"
export HOME=$HMDIR
export RTT_PARALLEL={{{RTT_PARALLEL}}}
mkdir -p `dirname {{{LOG_ERR}}}` 2>/dev/null
mkdir -p `dirname {{{LOG_OUT}}}` 2>/dev/null
cd $HMDIR
. $HMDIR/pyenv-brno3.sh
pyenv local 3.7.1
cd "${BASEDR}"
# set -o pipefail
stdbuf -eL $HMDIR/.pyenv/versions/3.7.1/bin/python \\
./run_jobs.py $BASEDR/backend.ini \\
--forwarded-mysql 1 \\
--deactivate 1 \\
--name {{{NAME}}} \\
--id {{{ID}}} \\
--location 'metacentrum' \\
--longterm 0 \\
--all-time 1 \\
--run-time {{{RUN_TIME}}} \\
--job-time {{{JOB_TIME}}} \\
--pbspro \\
--data-to-scratch {{{OTHER_PARAMS}}} \\
2> {{{LOG_ERR}}} > {{{LOG_OUT}}}
RES=$?
# Copy logs back to FS
[[ -n "${SCRATCHDIR}" ]] && cp {{{LOG_ERR}}} {{{PERM_LOG_ERR}}}
[[ -n "${SCRATCHDIR}" ]] && cp {{{LOG_OUT}}} {{{PERM_LOG_OUT}}}
exit $RES
"""
"""
--clean-cache 1 \\
--clean-logs 1 \\
x
"""
class JobGenerator:
def __init__(self):
self.args = None
def work(self):
if not self.args.job_dir:
raise ValueError('Empty job dir')
user = self.args.user
if not user:
user = os.getenv('PBS_O_LOGNAME', None)
if not user:
user = os.getenv('USER', None)
if not user:
raise ValueError('Could not determine user')
storage_path = self.args.storage_full
if not storage_path:
storage_path = '/storage/%s/home/%s' % (self.args.storage, user)
os.makedirs(self.args.job_dir, exist_ok=True)
if self.args.log_dir:
os.makedirs(self.args.log_dir, exist_ok=True)
log_dir = self.args.log_dir if self.args.log_dir else self.args.job_dir
# Generating jobs
files = []
batch_id = int(time.time())
for idx in range(self.args.num):
workid_base = 'rttw-%s-%04d' % (batch_id, idx)
worker_id = hashlib.md5(workid_base.encode()).hexdigest()
worker_name = 'meta:%s:%04d:%s' % (batch_id, idx, worker_id[:8])
worker_file_base = '%s-%s' % (workid_base, worker_id[:8])
perm_log_err = os.path.abspath(os.path.join(log_dir, 'loge-%s.log' % worker_file_base))
perm_log_out = os.path.abspath(os.path.join(log_dir, 'logo-%s.log' % worker_file_base))
log_err = os.path.join('${SCRATCHDIR}', 'loge-%s.log' % worker_file_base) if self.args.scratch else perm_log_err
log_out = os.path.join('${SCRATCHDIR}', 'logo-%s.log' % worker_file_base) if self.args.scratch else perm_log_out
other_params = ""
if idx + 1 == self.args.num and self.args.cleanup_last:
other_params = " --cleanup-only 1 --clean-cache 1 --clean-log 1 "
job_data = JOB_TEMPLATE
job_data = job_data.replace('{{{STORAGE_ROOT}}}', storage_path)
job_data = job_data.replace('{{{NAME}}}', worker_name)
job_data = job_data.replace('{{{ID}}}', worker_id)
job_data = job_data.replace('{{{RUN_TIME}}}', '%s' % (60*60*self.args.hr_job - 60*5))
job_data = job_data.replace('{{{JOB_TIME}}}', '%s' % self.args.test_time)
job_data = job_data.replace('{{{PERM_LOG_ERR}}}', perm_log_err)
job_data = job_data.replace('{{{PERM_LOG_OUT}}}', perm_log_out)
job_data = job_data.replace('{{{LOG_ERR}}}', log_err)
job_data = job_data.replace('{{{LOG_OUT}}}', log_out)
job_data = job_data.replace('{{{RTT_PARALLEL}}}', '%s' % (max(1, self.args.qsub_ncpu - self.args.qsub_ncpu_mgmt)))
job_data = job_data.replace('{{{OTHER_PARAMS}}}', '%s' % (other_params))
if '{{{' in job_data:
raise ValueError('Missed placeholder')
job_file = os.path.join(self.args.job_dir, '%s.sh' % worker_file_base)
with open(os.open(job_file, os.O_CREAT | os.O_WRONLY, 0o700), 'w') as fh:
fh.write(job_data)
files.append(os.path.abspath(job_file))
logger.debug('Generated file %s' % job_file)
enqueue_path = os.path.join(self.args.job_dir, 'enqueue-meta-%s.sh' % int(time.time()))
with open(os.open(enqueue_path, os.O_CREAT | os.O_WRONLY, 0o700), 'w') as fh:
fh.write('#!/bin/bash\n\n')
qsub_args = []
if self.args.brno:
qsub_args.append('brno=True')
if self.args.cluster:
qsub_args.append('cl_%s=True' % self.args.cluster)
if self.args.scratch:
qsub_args.append('scratch_local=%smb' % self.args.scratch_size)
if self.args.qsub_debian9:
qsub_args.append('debian9=True')
if self.args.qsub_args:
qsub_args.append(self.args.qsub_args)
walltime = '%02d:00:00' % self.args.hr_job
nprocs = self.args.qsub_ncpu
qsub_args = ':'.join(qsub_args)
qsub_args = (':%s' % qsub_args) if qsub_args != '' else ''
for fn in files:
fh.write('qsub -l select=1:ncpus=%s:mem=%sgb%s -l walltime=%s %s \n'
% (nprocs, self.args.qsub_ram, qsub_args, walltime, fn))
if self.args.enqueue:
logger.info('Enqueueing...')
p = subprocess.Popen(enqueue_path, stdout=sys.stdout, stderr=sys.stderr, shell=True)
p.wait()
def main(self):
logger.debug('App started')
parser = argparse.ArgumentParser(description='PBSpro job generator for RTT workers')
parser.add_argument('--debug', dest='debug', action='store_const', const=True,
help='enables debug mode')
parser.add_argument('--verbose', dest='verbose', action='store_const', const=True,
help='enables verbose mode')
#
# Testbed related options
#
parser.add_argument('--job-dir', dest='job_dir', default=None,
help='Directory to put job files to')
parser.add_argument('--log-dir', dest='log_dir', default=None,
help='Directory to put log files to')
parser.add_argument('--brno', dest='brno', action='store_const', const=True, default=False,
help='qsub: Enqueue on Brno clusters')
parser.add_argument('--debian9', dest='qsub_debian9', action='store_const', const=True, default=False,
help='qsub: Use debian9 machines')
parser.add_argument('--cluster', dest='cluster', default=None,
help='qsub: Enqueue on specific cluster name, e.g., brno, elixir')
parser.add_argument('--qsub-ncpu', dest='qsub_ncpu', default=2, type=int,
help='qsub: Number of processors to allocate for a job')
parser.add_argument('--qsub-ncpu-mgmt', dest='qsub_ncpu_mgmt', default=1, type=int,
help='qsub: Number of processors to allocate for management job (1 or 0)')
parser.add_argument('--qsub-ram', dest='qsub_ram', default=4, type=int,
help='qsub: RAM to allocate in GB')
parser.add_argument('--qsub-args', dest='qsub_args', default='',
help='qsub: Additional arguments')
parser.add_argument('--test-time', dest='test_time', default=60*60, type=int,
help='Number of seconds the single test will run (max)')
parser.add_argument('--hr-job', dest='hr_job', default=24, type=int,
help='Job time to allocate in hours')
parser.add_argument('--num', dest='num', default=1, type=int,
help='Number of jobs to generate')
parser.add_argument('--scratch', dest='scratch', default=1, type=int,
help='Disable scratch by setting to 0')
parser.add_argument('--scratch-size', dest='scratch_size', default=500, type=int,
help='Scratch size in MB')
parser.add_argument('--user', dest='user', default=None,
help='User running under, overrides system default')
parser.add_argument('--storage', dest='storage', default='brno3-cerit',
help='Cluster with the storage')
parser.add_argument('--storage-full', dest='storage_full',
help='Full path to the storage root')
parser.add_argument('--enqueue', dest='enqueue', action='store_const', const=True, default=False,
help='Enqueues the generated batch via qsub after job finishes')
parser.add_argument('--cleanup-last', dest='cleanup_last', default=1, type=int,
help='The last job just cleans up the cache')
self.args = parser.parse_args()
self.work()
def main():
jg = JobGenerator()
jg.main()
if __name__ == "__main__":
import coloredlogs
coloredlogs.CHROOT_FILES = []
coloredlogs.install(level=logging.DEBUG, use_chroot=False)
main()
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] |
accounts/models.py | connorpekovic/djangox | 0 | 1608861 | <reponame>connorpekovic/djangox
import uuid
from django.contrib.auth.models import AbstractUser
from django.db import models
# User ID needs to be UUID
class CustomUser(AbstractUser):
id = models.UUIDField(primary_key=True,
default=uuid.uuid4,
editable=False)
def __str__(self):
return self.email | [
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ros/env_measurement_module/scripts/run_env_measurement.py | MikhailBertrand/AN-BME280-IG | 0 | 197106 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import rospy
from std_msgs.msg import String, Float32
from env_measurement_module.BME280 import BME280
class EnvMeasurement(object):
"""
Use AN-301 for measuring environment information
"""
def __init__(self):
self.__device = BME280()
self.__temperature_pub = rospy.Publisher(
'env_measurement/temperature', Float32, queue_size=10)
self.__humidity_pub = rospy.Publisher(
'env_measurement/humidity', Float32, queue_size=10)
self.__pressure_pub = rospy.Publisher(
'env_measurement/pressure', Float32, queue_size=10)
self.__di_pub = rospy.Publisher(
'env_measurement/discomfort_index', Float32, queue_size=10)
self.__dl_pub = rospy.Publisher(
'env_measurement/discomfort_level', String, queue_size=10)
def main_loop(self):
""" Main measurement loop """
while not rospy.is_shutdown():
self.__device.read_data()
self.__temperature_pub.publish(self.__device.temperature)
self.__humidity_pub.publish(self.__device.var_h)
self.__pressure_pub.publish(self.__device.pressure)
self.__di_pub.publish(self.__device.DI)
rospy.logdebug('Temperature: {}'.format(self.__device.temperature))
rospy.logdebug('Humidity: {}'.format(self.__device.var_h))
rospy.logdebug('Pressure: {}'.format(self.__device.pressure))
rospy.logdebug('Discomfort Index: {}'.format(self.__device.DI))
rospy.sleep(1)
if __name__ == '__main__':
rospy.init_node('env_measurement')
ENV = EnvMeasurement()
ENV.main_loop()
rospy.spin()
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] |
src/data/make_dataset.py | chorus12/TimeSeriesWorkshop | 1 | 1605754 | # -*- coding: utf-8 -*-
import pandas as pd
from pathlib import Path
import os
from datetime import datetime
import sys
def main():
""" Runs data processing scripts to turn raw data from (../raw) into
cleaned data ready to be analyzed (saved in ../processed).
"""
df = pd.read_csv(os.path.join(project_dir, 'data/raw/bike_sharing_demand.csv'),
parse_dates=['datetime'])
# adding date column with just the date
df['date'] = df['datetime'].apply(lambda x: pd.to_datetime(datetime.date(x)))
# filter only data from march
df_march = df[df['date'].isin(pd.date_range(start='2012-03-01', end='2012-03-31'))]
df_march.drop('date', axis=1, inplace=True)
# write file to standard output
df_march.to_csv(sys.stdout, sep='\t', index=False)
if __name__ == '__main__':
# not used in this stub but often useful for finding various files
project_dir = Path(__file__).resolve().parents[2]
# find .env automagically by walking up directories until it's found, then
# load up the .env entries as environment variables
main()
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FOP.py | LagSeeN/thai-ads-filter | 32 | 175359 | #!/usr/bin/env python3
""" FOP
Filter Orderer and Preener
Copyright (C) 2011 Michael
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program 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 General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>."""
# FOP version number
VERSION = 3.9
# Import the key modules
import collections, filecmp, os, re, subprocess, sys
import argparse
ap = argparse.ArgumentParser()
ap.add_argument("--dir", "-d", nargs="+", help="Set directories", default=None)
ap.add_argument(
"--commit", "-c", help="Enable commit mode", action="store_true", default=False
)
arg = ap.parse_args()
# Check the version of Python for language compatibility and subprocess.check_output()
MAJORREQUIRED = 3
MINORREQUIRED = 2
if sys.version_info < (MAJORREQUIRED, MINORREQUIRED):
raise RuntimeError(
"FOP requires Python {reqmajor}.{reqminor} or greater, but Python {ismajor}.{isminor} is being used to run this program.".format(
reqmajor=MAJORREQUIRED,
reqminor=MINORREQUIRED,
ismajor=sys.version_info.major,
isminor=sys.version_info.minor,
)
)
# Import a module only available in Python 3
from urllib.parse import urlparse
# Compile regular expressions to match important filter parts (derived from Wladimir Palant's Adblock Plus source code)
ELEMENTDOMAINPATTERN = re.compile(r"^([^\/\*\|\@\"\!]*?)#\@?#")
FILTERDOMAINPATTERN = re.compile(r"(?:\$|\,)domain\=([^\,\s]+)$")
ELEMENTPATTERN = re.compile(r"^([^\/\*\|\@\"\!]*?)(#\@?#?\+?)([^{}]+)$")
OPTIONPATTERN = re.compile(
r"^(.*)\$(~?[\w\-]+(?:=[^,\s]+)?(?:,~?[\w\-]+(?:=[^,\s]+)?)*)$"
)
# Compile regular expressions that match element tags and pseudo classes and strings and tree selectors; "@" indicates either the beginning or the end of a selector
SELECTORPATTERN = re.compile(
r"(?<=[\s\[@])([a-zA-Z]*[A-Z][a-zA-Z0-9]*)((?=([\[\]\^\*\$=:@#\.]))|(?=(\s(?:[+>~]|\*|[a-zA-Z][a-zA-Z0-9]*[\[:@\s#\.]|[#\.][a-zA-Z][a-zA-Z0-9]*))))"
)
PSEUDOPATTERN = re.compile(r"(\:[a-zA-Z\-]*[A-Z][a-zA-Z\-]*)(?=([\(\:\@\s]))")
REMOVALPATTERN = re.compile(r"((?<=([>+~,]\s))|(?<=(@|\s|,)))(\*)(?=([#\.\[\:]))")
ATTRIBUTEVALUEPATTERN = re.compile(
r"^([^\'\"\\]|\\.)*(\"(?:[^\"\\]|\\.)*\"|\'(?:[^\'\\]|\\.)*\')|\*"
)
TREESELECTOR = re.compile(r"(\\.|[^\+\>\~\\\ \t])\s*([\+\>\~\ \t])\s*(\D)")
UNICODESELECTOR = re.compile(r"\\[0-9a-fA-F]{1,6}\s[a-zA-Z]*[A-Z]")
# Compile a regular expression that describes a completely blank line
BLANKPATTERN = re.compile(r"^\s*$")
# Compile a regular expression that validates commit comments
COMMITPATTERN = re.compile(r"^(A|M|P)\:\s(\((.+)\)\s)?(.*)$")
# List the files that should not be sorted, either because they have a special sorting system or because they are not filter files
IGNORE = ("output", "output_filters", "requirements.txt", "templates", "node_modules")
# List all uBO options (excepting domain, which is handled separately), as of version 1.21.9b7
# https://github.com/gorhill/uBlock/wiki/Resources-Library
# Support for AdGuard's empty and mp4 filter https://github.com/gorhill/uBlock/releases/tag/1.22.0
KNOWNOPTIONS = (
"collapse",
"csp",
"document",
"elemhide",
"font",
"genericblock",
"generichide",
"specifichide",
"image",
"match-case",
"object",
"media",
"object-subrequest",
"other",
"ping",
"popup",
"script",
"stylesheet",
"subdocument",
"third-party",
"first-party",
"1p",
"3p",
"inline-script",
"xhr",
"websocket",
"webrtc",
"xmlhttprequest",
"important",
"redirect=googletagmanager_gtm.js",
"redirect=google-analytics_ga.js",
"redirect=google-analytics_analytics.js",
"redirect=googletagservices_gpt.js",
"redirect=google-analytics_cx_api.js",
"redirect=googlesyndication_adsbygoogle.js",
"redirect=doubleclick_instream_ad_status.js",
"redirect=ampproject_v0.js",
"redirect=noop.js",
"redirect=noop.html",
"redirect=noop.txt",
"redirect=noop-0.1s.mp3",
"redirect=noop-1s.mp4",
"redirect=1x1.gif",
"redirect=2x2.png",
"redirect=3x2.png",
"redirect=32x32.png",
"redirect-rule=googletagmanager_gtm.js",
"redirect-rule=google-analytics_ga.js",
"redirect-rule=google-analytics_analytics.js",
"redirect-rule=googletagservices_gpt.js",
"redirect-rule=google-analytics_cx_api.js",
"redirect-rule=googlesyndication_adsbygoogle.js",
"redirect-rule=doubleclick_instream_ad_status.js",
"redirect-rule=ampproject_v0.js",
"redirect-rule=noop.js",
"redirect-rule=noop.html",
"redirect-rule=noop.txt",
"redirect-rule=noop-0.1s.mp3",
"redirect-rule=noop-1s.mp4",
"redirect-rule=1x1.gif",
"redirect-rule=2x2.png",
"redirect-rule=3x2.png",
"redirect-rule=32x32.png",
"empty",
"mp4",
"ehide",
"ghide",
"shide",
)
# List the supported revision control system commands
REPODEF = collections.namedtuple(
"repodef",
"name, directory, locationoption, repodirectoryoption, checkchanges, difference, commit, pull, push",
)
GIT = REPODEF(
["git"],
"./.git/",
"--work-tree=",
"--git-dir=",
["status", "-s", "--untracked-files=no"],
["diff"],
["commit", "-a", "-m"],
["pull"],
["push"],
)
HG = REPODEF(
["hg"],
"./.hg/",
"-R",
None,
["stat", "-q"],
["diff"],
["commit", "-m"],
["pull"],
["push"],
)
REPOTYPES = (GIT, HG)
def start():
""" Print a greeting message and run FOP in the directories
specified via the command line, or the current working directory if
no arguments have been passed."""
greeting = "FOP (Filter Orderer and Preener) version {version}".format(
version=VERSION
)
characters = len(str(greeting))
print("=" * characters)
print(greeting)
print("=" * characters)
# Convert the directory names to absolute references and visit each unique location
places = arg.dir
if places:
places = [os.path.abspath(place) for place in places]
for place in sorted(set(places)):
main(place)
print()
else:
main(os.getcwd())
def main(location):
""" Find and sort all the files in a given directory, committing
changes to a repository if one exists."""
# Check that the directory exists, otherwise return
if not os.path.isdir(location):
print("{location} does not exist or is not a folder.".format(location=location))
return
# Set the repository type based on hidden directories
repository = None
for repotype in REPOTYPES:
if os.path.isdir(os.path.join(location, repotype.directory)):
repository = repotype
break
# If this is a repository, record the initial changes; if this fails, give up trying to use the repository
if repository:
try:
basecommand = repository.name
if repository.locationoption.endswith("="):
basecommand.append(
"{locationoption}{location}".format(
locationoption=repository.locationoption, location=location
)
)
else:
basecommand.extend([repository.locationoption, location])
if repository.repodirectoryoption:
if repository.repodirectoryoption.endswith("="):
basecommand.append(
"{repodirectoryoption}{location}".format(
repodirectoryoption=repository.repodirectoryoption,
location=os.path.normpath(
os.path.join(location, repository.directory)
),
)
)
else:
basecommand.extend([repository.repodirectoryoption, location])
command = basecommand + repository.checkchanges
originaldifference = True if subprocess.check_output(command) else False
except (subprocess.CalledProcessError, OSError):
print(
'The command "{command}" was unable to run; FOP will therefore not attempt to use the repository tools. On Windows, this may be an indication that you do not have sufficient privileges to run FOP - the exact reason why is unknown. Please also ensure that your revision control system is installed correctly and understood by FOP.'.format(
command=" ".join(command)
)
)
repository = None
# Work through the directory and any subdirectories, ignoring hidden directories
print(
"\nPrimary location: {folder}".format(
folder=os.path.join(os.path.abspath(location), "")
)
)
for path, directories, files in os.walk(location):
for direct in directories[:]:
if direct.startswith(".") or direct in IGNORE:
directories.remove(direct)
print(
"Current directory: {folder}".format(
folder=os.path.join(os.path.abspath(path), "")
)
)
directories.sort()
for filename in sorted(files):
address = os.path.join(path, filename)
extension = os.path.splitext(filename)[1]
# Sort all text files that are not blacklisted
if extension == ".txt" and filename not in IGNORE:
fopsort(address)
# Delete unnecessary backups and temporary files
if extension == ".orig" or extension == ".temp":
try:
os.remove(address)
except (IOError, OSError):
# Ignore errors resulting from deleting files, as they likely indicate that the file has already been deleted
pass
# If in a repository, offer to commit any changes
if repository and arg.commit:
commit(repository, basecommand, originaldifference)
def fopsort(filename):
""" Sort the sections of the file and save any modifications."""
temporaryfile = "{filename}.temp".format(filename=filename)
CHECKLINES = 10
section = []
lineschecked = 1
filterlines = elementlines = 0
# Read in the input and output files concurrently to allow filters to be saved as soon as they are finished with
with open(filename, "r", encoding="utf-8", newline="\n") as inputfile, open(
temporaryfile, "w", encoding="utf-8", newline="\n"
) as outputfile:
# Combines domains for (further) identical rules
def combinefilters(uncombinedFilters, DOMAINPATTERN, domainseparator):
combinedFilters = []
for i in range(len(uncombinedFilters)):
domains1 = re.search(DOMAINPATTERN, uncombinedFilters[i])
if i + 1 < len(uncombinedFilters) and domains1:
domains2 = re.search(DOMAINPATTERN, uncombinedFilters[i + 1])
domain1str = domains1.group(1)
if (
not domains1
or i + 1 == len(uncombinedFilters)
or not domains2
or len(domain1str) == 0
or len(domains2.group(1)) == 0
):
# last filter or filter didn't match regex or no domains
combinedFilters.append(uncombinedFilters[i])
else:
domain2str = domains2.group(1)
if domains1.group(0).replace(
domain1str, domain2str, 1
) != domains2.group(0):
# non-identical filters shouldn't be combined
combinedFilters.append(uncombinedFilters[i])
elif re.sub(DOMAINPATTERN, "", uncombinedFilters[i]) == re.sub(
DOMAINPATTERN, "", uncombinedFilters[i + 1]
):
# identical filters. Try to combine them...
newDomains = "{d1}{sep}{d2}".format(
d1=domain1str, sep=domainseparator, d2=domain2str
)
newDomains = domainseparator.join(
sorted(
set(newDomains.split(domainseparator)),
key=lambda domain: domain.strip("~"),
)
)
if (
domain1str.count("~")
!= domain1str.count(domainseparator) + 1
) != (
domain2str.count("~")
!= domain2str.count(domainseparator) + 1
):
# do not combine rules containing included domains with rules containing only excluded domains
combinedFilters.append(uncombinedFilters[i])
else:
# either both contain one or more included domains, or both contain only excluded domains
domainssubstitute = domains1.group(0).replace(
domain1str, newDomains, 1
)
uncombinedFilters[i + 1] = re.sub(
DOMAINPATTERN, domainssubstitute, uncombinedFilters[i]
)
else:
# non-identical filters shouldn't be combined
combinedFilters.append(uncombinedFilters[i])
return combinedFilters
# Writes the filter lines to the file
def writefilters():
if elementlines > filterlines:
uncombinedFilters = sorted(
set(section),
key=lambda rule: re.sub(ELEMENTDOMAINPATTERN, "", rule),
)
outputfile.write(
"{filters}\n".format(
filters="\n".join(
combinefilters(uncombinedFilters, ELEMENTDOMAINPATTERN, ",")
)
)
)
else:
uncombinedFilters = sorted(set(section), key=str.lower)
outputfile.write(
"{filters}\n".format(
filters="\n".join(
combinefilters(uncombinedFilters, FILTERDOMAINPATTERN, "|")
)
)
)
for line in inputfile:
line = line.strip()
if not re.match(BLANKPATTERN, line):
# Include comments verbatim and, if applicable, sort the preceding section of filters and save them in the new version of the file
if (
line[0] == "!"
or line[:8] == "%include"
or line[0] == "["
and line[-1] == "]"
):
if section:
writefilters()
section = []
lineschecked = 1
filterlines = elementlines = 0
outputfile.write("{line}\n".format(line=line))
else:
# Convert inject:script to +js
line = line.replace("##script:inject", "##+js")
# Neaten up filters and, if necessary, check their type for the sorting algorithm
elementparts = re.match(ELEMENTPATTERN, line)
if elementparts:
domains = elementparts.group(1).lower()
if lineschecked <= CHECKLINES:
elementlines += 1
lineschecked += 1
line = elementtidy(
domains, elementparts.group(2), elementparts.group(3)
)
else:
if lineschecked <= CHECKLINES:
filterlines += 1
lineschecked += 1
line = filtertidy(line)
# Add the filter to the section
section.append(line)
# At the end of the file, sort and save any remaining filters
if section:
writefilters()
# Replace the existing file with the new one only if alterations have been made
if not filecmp.cmp(temporaryfile, filename):
# Check the operating system and, if it is Windows, delete the old file to avoid an exception (it is not possible to rename files to names already in use on this operating system)
if os.name == "nt":
os.remove(filename)
os.rename(temporaryfile, filename)
print("Sorted: {filename}".format(filename=os.path.abspath(filename)))
else:
os.remove(temporaryfile)
def filtertidy(filterin):
""" Sort the options of blocking filters and make the filter text
lower case if applicable."""
optionsplit = re.match(OPTIONPATTERN, filterin)
if not optionsplit:
# Remove unnecessary asterisks from filters without any options and return them
return removeunnecessarywildcards(filterin)
else:
# If applicable, separate and sort the filter options in addition to the filter text
filtertext = removeunnecessarywildcards(optionsplit.group(1))
optionlist = optionsplit.group(2).lower().replace("_", "-").split(",")
domainlist = []
removeentries = []
for option in optionlist:
# Detect and separate domain options
if option[0:7] == "domain=":
domainlist.extend(option[7:].split("|"))
removeentries.append(option)
elif option.strip("~") not in KNOWNOPTIONS:
print(
'Warning: The option "{option}" used on the filter "{problemfilter}" is not recognised by FOP'.format(
option=option, problemfilter=filterin
)
)
# Sort all options other than domain alphabetically
# For identical options, the inverse always follows the non-inverse option ($image,~image instead of $~image,image)
optionlist = sorted(
set(filter(lambda option: option not in removeentries, optionlist)),
key=lambda option: (option[1:] + "~") if option[0] == "~" else option,
)
# If applicable, sort domain restrictions and append them to the list of options
if domainlist:
optionlist.append(
"domain={domainlist}".format(
domainlist="|".join(
sorted(set(domainlist), key=lambda domain: domain.strip("~"))
)
)
)
# Return the full filter
return "{filtertext}${options}".format(
filtertext=filtertext, options=",".join(optionlist)
)
def elementtidy(domains, separator, selector):
""" Sort the domains of element hiding rules, remove unnecessary
tags and make the relevant sections of the rule lower case."""
# Order domain names alphabetically, ignoring exceptions
if "," in domains:
domains = ",".join(
sorted(set(domains.split(",")), key=lambda domain: domain.strip("~"))
)
# Mark the beginning and end of the selector with "@"
selector = "@{selector}@".format(selector=selector)
each = re.finditer
# Make sure we don't match items in strings (e.g., don't touch Width in ##[style="height:1px; Width: 123px;"])
selectorwithoutstrings = selector
selectoronlystrings = ""
while True:
stringmatch = re.match(ATTRIBUTEVALUEPATTERN, selectorwithoutstrings)
if stringmatch == None:
break
selectorwithoutstrings = selectorwithoutstrings.replace(
"{before}{stringpart}".format(
before=stringmatch.group(1), stringpart=stringmatch.group(2)
),
"{before}".format(before=stringmatch.group(1)),
1,
)
selectoronlystrings = "{old}{new}".format(
old=selectoronlystrings, new=stringmatch.group(2)
)
# Clean up tree selectors
for tree in each(TREESELECTOR, selector):
if (
tree.group(0) in selectoronlystrings
or not tree.group(0) in selectorwithoutstrings
):
continue
replaceby = " {g2} ".format(g2=tree.group(2))
if replaceby == " ":
replaceby = " "
selector = selector.replace(
tree.group(0),
"{g1}{replaceby}{g3}".format(
g1=tree.group(1), replaceby=replaceby, g3=tree.group(3)
),
1,
)
# Remove unnecessary tags
for untag in each(REMOVALPATTERN, selector):
untagname = untag.group(4)
if untagname in selectoronlystrings or not untagname in selectorwithoutstrings:
continue
bc = untag.group(2)
if bc == None:
bc = untag.group(3)
ac = untag.group(5)
selector = selector.replace(
"{before}{untag}{after}".format(before=bc, untag=untagname, after=ac),
"{before}{after}".format(before=bc, after=ac),
1,
)
# Make the remaining tags lower case wherever possible
for tag in each(SELECTORPATTERN, selector):
tagname = tag.group(1)
if tagname in selectoronlystrings or not tagname in selectorwithoutstrings:
continue
if re.search(UNICODESELECTOR, selectorwithoutstrings) != None:
break
ac = tag.group(3)
if ac == None:
ac = tag.group(4)
selector = selector.replace(
"{tag}{after}".format(tag=tagname, after=ac),
"{tag}{after}".format(tag=tagname.lower(), after=ac),
1,
)
# Make pseudo classes lower case where possible
for pseudo in each(PSEUDOPATTERN, selector):
pseudoclass = pseudo.group(1)
if (
pseudoclass in selectoronlystrings
or not pseudoclass in selectorwithoutstrings
):
continue
ac = pseudo.group(3)
selector = selector.replace(
"{pclass}{after}".format(pclass=pseudoclass, after=ac),
"{pclass}{after}".format(pclass=pseudoclass.lower(), after=ac),
1,
)
# Remove the markers from the beginning and end of the selector and return the complete rule
return "{domain}{separator}{selector}".format(
domain=domains, separator=separator, selector=selector[1:-1]
)
def commit(repository, basecommand, userchanges):
""" Commit changes to a repository using the commands provided."""
difference = subprocess.check_output(basecommand + repository.difference)
if not difference:
print("\nNo changes have been recorded by the repository.")
return
print("\nThe following changes have been recorded by the repository:")
try:
print(difference.decode("utf-8"))
except UnicodeEncodeError:
print(
"\nERROR: DIFF CONTAINED UNKNOWN CHARACTER(S). Showing unformatted diff instead:\n"
)
print(difference)
try:
# Persistently request a suitable comment
while True:
comment = input("Please enter a valid commit comment or quit:\n")
if checkcomment(comment, userchanges):
break
# Allow users to abort the commit process if they do not approve of the changes
except (KeyboardInterrupt, SystemExit):
print("\nCommit aborted.")
return
print('Comment "{comment}" accepted.'.format(comment=comment))
try:
# Commit the changes
command = basecommand + repository.commit + [comment]
subprocess.Popen(command).communicate()
print("\nConnecting to server. Please enter your password if required.")
# Update the server repository as required by the revision control system
for command in repository[7:]:
command = basecommand + command
subprocess.Popen(command).communicate()
print()
except (subprocess.CalledProcessError):
print('Unexpected error with the command "{command}".'.format(command=command))
raise subprocess.CalledProcessError("Aborting FOP.")
except (OSError):
print('Unexpected error with the command "{command}".'.format(command=command))
raise OSError("Aborting FOP.")
print("Completed commit process successfully.")
def isglobalelement(domains):
""" Check whether all domains are negations."""
for domain in domains.split(","):
if domain and not domain.startswith("~"):
return False
return True
def removeunnecessarywildcards(filtertext):
# Where possible, remove unnecessary wildcards from the beginnings and ends of blocking filters.
whitelist = False
hadStar = False
if filtertext[0:2] == "@@":
whitelist = True
filtertext = filtertext[2:]
while (
len(filtertext) > 1
and filtertext[0] == ""
and not filtertext[1] == "|"
and not filtertext[1] == "!"
):
filtertext = filtertext[1:]
hadStar = True
while len(filtertext) > 1 and filtertext[-1] == "" and not filtertext[-2] == "|":
filtertext = filtertext[:-1]
hadStar = True
if hadStar and filtertext[0] == "/" and filtertext[-1] == "/":
filtertext = "{filtertext}*".format(filtertext=filtertext)
if filtertext == "":
filtertext = ""
if whitelist:
filtertext = "@@{filtertext}".format(filtertext=filtertext)
return filtertext
def checkcomment(comment, changed):
""" Check the commit comment and return True if the comment is
acceptable and False if it is not."""
sections = re.match(COMMITPATTERN, comment)
if sections == None:
print(
'The comment "{comment}" is not in the recognised format.'.format(
comment=comment
)
)
else:
indicator = sections.group(1)
if indicator == "M":
# Allow modification comments to have practically any format
return True
elif indicator == "A" or indicator == "P":
if not changed:
print(
"You have indicated that you have added or removed a rule, but no changes were initially noted by the repository."
)
else:
address = sections.group(4)
if not validurl(address):
print('Unrecognised address "{address}".'.format(address=address))
else:
# The user has changed the subscription and has written a suitable comment message with a valid address
return True
print()
return False
def validurl(url):
""" Check that an address has a scheme (e.g. http), a domain name
(e.g. example.com) and a path (e.g. /), or relates to the internal
about system."""
addresspart = urlparse(url)
if addresspart.scheme and addresspart.netloc and addresspart.path:
return True
elif addresspart.scheme == "about":
return True
else:
return False
if __name__ == "__main__":
start()
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] |
dispatch/flags.py | harrybrwn/dispatch | 0 | 133038 | <gh_stars>0
import sys
from typing import Dict, Optional
from collections.abc import Iterable
from dataclasses import is_dataclass
from .exceptions import DeveloperException
from ._meta import _FunctionMeta, _GroupMeta, _CliMeta
class Option:
__slots__ = ('name', 'type', 'shorthand', 'help', '_value',
'hidden', '_default', 'has_default', 'f_len', 'hide_default')
def __init__(self, name, typ, *,
shorthand: str = None, help: str = None, value=None,
hidden=False, has_default=False, hide_default=False):
self.name = name
self.type = typ if typ is not None else bool
self.shorthand = shorthand
self.help = help or ''
self.value = value # will infer and set the type
self.hidden = hidden
self._default = value
self.has_default = has_default or value is not None
self.hide_default = hide_default
self.f_len = len(self.name) # len(name) is temp, will be set when formatting
if self.shorthand == 'h' and self.name != 'help':
raise DeveloperException(
"cannot use 'h' as shorthand (reserved for --help)")
def __format__(self, spec: str):
name_spec = f'<{self.f_len}'
prefix = ''
if spec:
if '<' in spec:
name_spec = '<' + spec[spec.index('<') + 1]
elif '>' in spec:
name_spec = '>' + spec[spec.index('>') + 1]
if '+' in spec:
prefix = ' ' * int(spec[spec.index('+')+1])
if self.shorthand:
short = f'-{self.shorthand}, '
else:
short = ' ' * 4
return '{0}{short}--{name:{1}}{help}{default}'.format(
prefix, name_spec, short=short,
name=self.name.replace('_', '-'),
help=self.help,
default=self.show_default(),
)
def __repr__(self):
return "{}('{}', {})".format(
self.__class__.__name__, str(self).strip(), self.type)
def __str__(self):
if self.shorthand:
return '-{}, --{}'.format(self.shorthand, self.name)
else:
return ' --{}'.format(self.name)
@property
def value(self):
return self._value
@value.setter
def value(self, val):
self._value = val
if val is not None:
self.type = val.__class__
def show_default(self) -> str:
if self.has_default and not self.hide_default and self.value:
if self.help:
return f' (default: {self.value!r})'
else:
return f'default: {self.value!r}'
return ''
def setval(self, val):
'''
setval is meant to be used to set the value of the flag from the
cli input and convert it to the flag's type. setval should also work
when the flag.type is a compound type annotation (see typing package).
This function is basically a rich type convertion. Any flag types that
are part of the typing package will be converted to the python type it
represents.
Another feature of the is function is allowing an option to take more
complex arguments such as lists or dictionaries.
'''
# TODO: type checking does not work if the annotation is an abstract
# base class. (collections.abc.Sequence etc..)
if not isinstance(val, str) or self.type is str:
# if val is not a string then the type has already been converted
# if the type is a string, we dont need to convert it
self._value = val
else:
if _is_iterable(self.type):
val = val.strip('[]{}').split(',')
if _from_typing_module(self.type):
if len(self.type.__args__) == 1:
inner = self.type.__args__[0]
self._value = self.type.__origin__([inner(v) for v in val])
elif len(self.type.__args__) == 2:
key_tp, val_tp = self.type.__args__
vals = []
for vl in val:
k, v = vl.split(':')
pair = key_tp(k), val_tp(v)
vals.append(pair)
self._value = self.type.__origin__(vals)
else:
self._value = self.type(val)
def _getnull(self):
'''_getnull will return a null value given the flag's type.
If there is a default value, that will be returned.
'''
if self.has_default:
return self._default
try:
return self.type()
except TypeError:
# if the constructory needs an argument
# then we cant do much so return None
return None
def _reset(self):
self._value = self._getnull()
class FlagSet:
'''A Set of cli Flags'''
DEFAULT_HELP_FLAG = Option('help', bool, shorthand='h', help='Get help.')
MIN_FMT_LEN = 3
__slots__ = ('_flags', '_flagnames', '_shorthands')
def __init__(self, *, names: tuple = None, defaults: dict = None,
docs: dict = None, types: dict = None,
shorthands: dict = None, hidden: set = set(), **kwrgs):
'''
Create a FlagSet
names: `list` of flag names, use only the fullnames
defaults: `dict` of default flag values
docs: `dict` of default flag help text
types: `dict` of type annotations
shorthands: `dict` of flag shorthands. Give it in the format
{<flagname>: <shorthand>} but know that the copy stored in the
flag set will also store flagnames in the format
{<shorthand>: <flagname>}.
hidden: `set` of the flagnames that will be hidden from the help
text of the FlagSet.
hidden_defaults: `set` of flags that should not show their defauts
'''
self._flags: Dict[str, Option] = {}
self._flagnames = names or ()
self._shorthands = shorthands or dict()
types = types or dict()
defaults = defaults or dict()
docs = docs or dict()
hidden_defaults = kwrgs.pop('hidden_defaults', set())
cmd_meta: Optional[_CliMeta] = kwrgs.pop('__command_meta__')
if cmd_meta:
if not isinstance(cmd_meta, _CliMeta):
raise TypeError('__command_meta__ should inherit from _meta._CliMeta')
for key, val in cmd_meta.flagdocs.items():
self._shorthands[key] = val.get('shorthand')
docs[key] = val.get('doc')
types.update(cmd_meta.annotations())
defaults.update(cmd_meta.defaults())
for name in self._flagnames:
opt = Option(
name, types.get(name, bool),
shorthand=self._shorthands.get(name),
help=docs.get(name, ''),
value=defaults.get(name),
hidden=name in hidden,
hide_default=name in hidden_defaults,
)
self[name] = opt
@property
def format_len(self) -> int:
fmt_len = max([len(f.name) for f in self.visible_flags()])
return fmt_len + self.MIN_FMT_LEN
@property
def help(self) -> str:
fmt = ' {0:<{1}}'
lngth = self.format_len
return '\n'.join(fmt.format(f, lngth) for f in self.visible_flags())
def __str__(self):
return str(self._flags)
def __len__(self):
return len(self._flags)
def __getitem__(self, key) -> Option:
if len(key) == 1 and key in self._shorthands:
key = self._shorthands[key]
return self._flags[key]
def __setitem__(self, key: str, flag: Option):
self._flags[key] = flag
if flag.shorthand:
self._shorthands[flag.shorthand] = key
def __delitem__(self, key):
if len(key) == 1:
key = self._shorthands.pop(key)
del self._flags[key]
def __contains__(self, key) -> bool:
return key in self._flags or key in self._shorthands
def __iter__(self):
return iter(self._flags)
def items(self):
yield from self._flags.items()
def values(self):
yield from self._flags.values()
def update(self, fset=None):
if not isinstance(fset, FlagSet):
raise TypeError(
'must update {0} with a {0}'.format(self.__class__.__name__))
self._flags.update(fset._flags)
self._shorthands.update(fset._shorthands)
def get(self, key: str, default=None) -> Option:
try:
return self[key]
except KeyError:
return default
def visible_flags(self):
yield from (
flag for flag in self._flags.values()
if not flag.hidden
)
yield self.DEFAULT_HELP_FLAG
def _from_typing_module(t) -> bool:
if hasattr(t, '__module__'):
mod = t.__module__
import typing
return sys.modules[mod] == typing
return False
def _is_iterable(t) -> bool:
if _from_typing_module(t):
return issubclass(t.__origin__, Iterable)
return isinstance(t, Iterable) or issubclass(t, Iterable)
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] |
django_blog/blog/models.py | lidysun/test1 | 0 | 37694 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from time import timezone
from django.db import models
# Create your models here.
class UserInfo(models.Model):
user= models.CharField(max_length = 30)
pwd = models.CharField(max_length = 30)
# class Publisher(models.Model):
# name = models.CharField(max_length=30)
# address = models.CharField(max_length=50)
# website = models.URLField()
# class Author(models.Model):
# email = models.EmailField()
# first_name = models.CharField(max_length = 30)
# last_name = models.CharField(max_length = 30)
# class Book(models.Model):
# title = models.CharField(max_length = 150)
# authors = models.ManyToManyField(Author)
# publisher = models.ForeignKey(Publisher)
class DoubanMovie(models.Model):
name = models.CharField(max_length = 200)
info = models.CharField(max_length = 10000)
rating = models.CharField(max_length = 20)
num = models.CharField(max_length = 50)
quote = models.CharField(max_length = 150)
img_url = models.CharField(max_length = 300)
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2
] |
runtests.py | humantech/django-ext_fields | 2 | 177529 | #!/usr/bin/env python
import os
import sys
import django
from django.conf import settings
from django.utils.functional import empty
from django.test.utils import get_runner
if __name__ == "__main__":
def run_tests(subtest):
test_module = 'tests.' + subtest
os.environ['DJANGO_SETTINGS_MODULE'] = test_module + '.settings'
django.setup()
TestRunner = get_runner(settings)
test_runner = TestRunner()
failures = test_runner.run_tests([test_module])
return bool(failures)
subtest = sys.argv[1] if len(sys.argv) > 1 else os.environ.get('SUBTEST')
ret = run_tests(subtest)
sys.exit(ret)
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sthima/todo/tests/test_models.py | bratomes/work-at-sthima | 0 | 1601204 | from django.test import TestCase
from django.contrib.auth.models import User
from model_mommy import mommy
from todo.models import Task
class TaskTest(TestCase):
"""
Test case of Task model
"""
def setUp(self):
"""
Set up all the tests
"""
self.user = mommy.make(User)
self.task = mommy.make(Task)
def test_string_representation(self):
"""
Test if the __str__ method returns the description of a task
"""
self.assertEqual(str(self.task), self.task.description)
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jojo/jojo.py | ExtremeTea/Coffee | 0 | 168592 | from discord.ext import commands
import random
import discord
class jojo:
def __init__(self, bot):
self.bot = bot
@commands.command(pass_context=True)
async def jojo(self, context, member: discord.Member):
"""Give someone <NAME>!"""
author = context.message.author.mention
mention = member.mention
jojo = "**{0} got a reference by {1}!**"
choices = ['https://i.imgur.com/XJhnSv5.gif', 'https://i.imgur.com/3xhoZg8.gif', 'https://i.imgur.com/D7SqDBP.gif', 'https://i.imgur.com/dUAc1jw.gif', 'https://i.imgur.com/W7OsiYW.gif']
image = random.choice(choices)
embed = discord.Embed(description=jojo.format(mention, author), colour=discord.Colour.blue())
embed.set_image(url=image)
await self.bot.say(embed=embed)
def setup(bot):
n = jojo(bot)
bot.add_cog(n)
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api/utils/input/__init__.py | mmangione/alcali | 306 | 53422 | from shlex import split
import json
class RawCommand:
def __init__(self, command, client="local", posix=True, inline=False):
# TODO: check shlex.quote, raw string, etc..
if inline:
self.command = split(command, posix=posix)
else:
self.command = split(command, posix=posix)[1:]
self.options = {"expr_form": "glob"}
self.client = client
def parse(self):
args = self.command
if args[0].startswith("--client"):
self.client = args[0].split("=")[1]
args.pop(0)
low = {"client": self.client}
if self.client.startswith("local"):
if len(args) < 2:
return "Command or target not specified"
# Batch option
low["batch"] = None
if self.client == "local_batch":
batch_index = None
for index, arg in enumerate(args):
if arg in ["-b", "--batch", "--batch-size"]:
low["batch"] = args[index + 1]
batch_index = index
if batch_index:
args.pop(batch_index)
args.pop(batch_index)
# Timeout option
timeout_index = None
for index, arg in enumerate(args):
if arg in ["-t", "--timeout"]:
low["timeout"] = int(args[index + 1])
timeout_index = index
if timeout_index:
args.pop(timeout_index)
args.pop(timeout_index)
# take care of targeting.
target_dict = {
"pcre": ["-E", "--pcre"],
"list": ["-L", "--list"],
"grain": ["-G", "--grain"],
"grain_pcre": ["--grain-pcre"],
"pillar": ["-I", "--pillar"],
"pillar_pcre": ["--pillar-pcre"],
"range": ["-R", "--range"],
"compound": ["-C", "--compound"],
"nodegroup": ["-N", "--nodegroup"],
}
for key, value in target_dict.items():
if args[0] in value:
self.options["expr_form"] = key
args.pop(0)
low["tgt_type"] = self.options["expr_form"]
low["tgt"] = args.pop(0)
low["fun"] = args.pop(0)
low["arg"] = args
elif self.client.startswith("runner") or self.client.startswith("wheel"):
low["fun"] = args.pop(0)
for arg in args:
if "=" in arg:
key, value = arg.split("=", 1)
try:
low[key] = json.loads(value)
except json.JSONDecodeError:
low[key] = value
else:
low.setdefault("arg", []).append(arg)
else:
# This should never happen
return "Client not implemented: {0}".format(self.client)
return [low]
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aiida_vasp/workchains/verify.py | muhrin/aiida-vasp | 0 | 38088 | """
Verify workchain.
-----------------
Indented to be used to verify a calculation, perform corrections in inputs files and
restart depending on physical principles etc. E.g. issues that are outside the Calculators awereness,
or not currently checked in it. This workchain does currently nothing.
"""
# pylint: disable=attribute-defined-outside-init
from aiida.common.extendeddicts import AttributeDict
from aiida.engine import WorkChain, while_, append_
from aiida.plugins import WorkflowFactory
from aiida_vasp.utils.aiida_utils import get_data_class, get_data_node
from aiida_vasp.utils.workchains import prepare_process_inputs, compose_exit_code
class VerifyWorkChain(WorkChain):
"""Verify the calculations based on basic principles from physics, chemistry and material science."""
_verbose = False
_next_workchain_string = 'vasp.vasp'
_next_workchain = WorkflowFactory(_next_workchain_string)
@classmethod
def define(cls, spec):
super(VerifyWorkChain, cls).define(spec)
spec.expose_inputs(cls._next_workchain)
spec.input('verify.max_iterations',
valid_type=get_data_class('int'),
required=False,
default=get_data_node('int', 1),
help="""
The maximum number of iterations to perform.
""")
spec.exit_code(0, 'NO_ERROR', message='the sun is shining')
spec.exit_code(420, 'ERROR_NO_CALLED_WORKCHAIN', message='no called workchain detected')
spec.exit_code(500, 'ERROR_UNKNOWN', message='unknown error detected in the verify workchain')
spec.outline(
cls.initialize,
while_(cls.run_next_workchains)(
cls.init_next_workchain,
cls.run_next_workchain,
cls.verify_next_workchain
),
cls.finalize
) # yapf: disable
spec.expose_outputs(cls._next_workchain)
def initialize(self):
"""Initialize."""
self._init_context()
self._init_inputs()
def _init_context(self):
"""Initialize context variables that are used during the logical flow."""
self.ctx.exit_code = self.exit_codes.ERROR_UNKNOWN # pylint: disable=no-member
self.ctx.is_finished = False
self.ctx.iteration = 0
self.ctx.inputs = AttributeDict()
def _init_inputs(self):
"""Initialize inputs."""
try:
self._verbose = self.inputs.verbose.value
self.ctx.inputs.verbose = self.inputs.verbose
except AttributeError:
pass
def run_next_workchains(self):
"""
Return whether a new calculation should be run.
This is the case as long as the last calculation has not finished successfully and the maximum number of restarts
has not yet been exceeded.
"""
return not self.ctx.is_finished and self.ctx.iteration <= self.inputs.verify.max_iterations.value
def init_next_workchain(self):
"""Initialize the next workchain."""
self.ctx.iteration += 1
try:
self.ctx.inputs
except AttributeError:
raise ValueError('No input dictionary was defined in self.ctx.inputs')
# Add exposed inputs
self.ctx.inputs.update(self.exposed_inputs(self._next_workchain))
# Make sure we do not have any floating dict (convert to Dict)
self.ctx.inputs = prepare_process_inputs(self.ctx.inputs)
def run_next_workchain(self):
"""Run the next workchain."""
inputs = self.ctx.inputs
running = self.submit(self._next_workchain, **inputs)
self.report('launching {}<{}> iteration #{}'.format(self._next_workchain.__name__, running.pk, self.ctx.iteration))
return self.to_context(workchains=append_(running))
def verify_next_workchain(self):
"""
Correct for unexpected physics/chemistry/material science behavior.
Here we should correct all things that voids what we expect from
physics/chemistry/material science. I.e. things that cannot be corrected for at the
calculation level (simple restarts etc.).
"""
# Currently only set to finished on first go.
self.ctx.is_finished = True
try:
workchain = self.ctx.workchains[-1]
except IndexError:
self.report('There is no {} in the called workchain list.'.format(self._next_workchain.__name__))
return self.exit_codes.ERROR_NO_CALLED_WORKCHAIN # pylint: disable=no-member
# Inherit exit status from last workchain (supposed to be
# successfull)
next_workchain_exit_status = workchain.exit_status
next_workchain_exit_message = workchain.exit_message
if not next_workchain_exit_status:
self.ctx.exit_code = self.exit_codes.NO_ERROR # pylint: disable=no-member
else:
self.ctx.exit_code = compose_exit_code(next_workchain_exit_status, next_workchain_exit_message)
self.report('The called {}<{}> returned a non-zero exit status. '
'The exit status {} is inherited'.format(workchain.__class__.__name__, workchain.pk, self.ctx.exit_code))
return self.ctx.exit_code
def finalize(self):
"""Finalize the workchain."""
workchain = self.ctx.workchains[-1]
self.out_many(self.exposed_outputs(workchain, self._next_workchain))
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675,
278,
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664,
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353,
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305,
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14153,
29892,
1583,
3032,
4622,
29918,
1287,
14153,
876,
13,
2
] |
search/linear/linear_rawan.py | ra1ski/python-data-structures-and-algorithms | 0 | 188153 | <filename>search/linear/linear_rawan.py
# Linear search algorithm
# @ra1ski
def linear_search(item, _list):
index = None
for idx, val in enumerate(_list):
if val == item:
index = idx
break
return index
if __name__ == '__main__':
_list = ['chrome', 'firefox', 'opera', 'ie', 'netscape']
item = input('Type browser name:')
foundIndex = linear_search(item, _list)
if foundIndex is not None:
print('Item is in the list. Index: %d. Iterations: %d' % (foundIndex, foundIndex))
else:
_list.append(item)
print('Item is not in the list, but we appened it for you', _list)
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] |
custom_components/sleep_as_android/const.py | Antoni-Czaplicki/HA-SleepAsAndroid | 0 | 198439 | <filename>custom_components/sleep_as_android/const.py
import voluptuous as vol
DOMAIN = "sleep_as_android"
DEVICE_MACRO: str = "%%%device%%%"
DEFAULT_NAME = "SleepAsAndroid"
DEFAULT_TOPIC_TEMPLATE = "SleepAsAndroid/%s" % DEVICE_MACRO
DEFAULT_QOS = 0
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atcoder/corp/code-festival-2017-qualc_a.py | knuu/competitive-programming | 1 | 151812 | <filename>atcoder/corp/code-festival-2017-qualc_a.py
def main() -> None:
S = input()
print("Yes" if "AC" in [S[i:i+2] for i in range(len(S)-1)] else "No")
if __name__ == '__main__':
main()
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] |
mars/dataframe/datasource/date_range.py | haijohn/mars | 1 | 194386 | <reponame>haijohn/mars
# Copyright 1999-2020 Alibaba Group Holding Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from datetime import datetime, date, time
import numpy as np
import pandas as pd
from pandas.tseries.frequencies import to_offset
from pandas.tseries.offsets import Tick
from pandas._libs.tslibs import timezones
from ... import opcodes as OperandDef
from ...config import options
from ...core import OutputType
from ...serialization.serializables import AnyField, Int64Field, BoolField, StringField
from ...tensor.utils import decide_chunk_sizes
from ..operands import DataFrameOperand, DataFrameOperandMixin
from ..utils import parse_index
try:
from pandas._libs.tslib import normalize_date
except ImportError: # pragma: no cover
def normalize_date(dt): # from pandas/_libs/tslibs/conversion.pyx
if isinstance(dt, datetime):
if isinstance(dt, pd.Timestamp):
return dt.replace(hour=0, minute=0, second=0, microsecond=0,
nanosecond=0)
else:
return dt.replace(hour=0, minute=0, second=0, microsecond=0)
elif isinstance(dt, date):
return datetime(dt.year, dt.month, dt.day)
else:
raise TypeError(f'Unrecognized type: {type(dt)}')
class DataFrameDateRange(DataFrameOperand, DataFrameOperandMixin):
_op_type_ = OperandDef.DATE_RANGE
_start = AnyField('start')
_end = AnyField('end')
_periods = Int64Field('periods')
_freq = AnyField('freq')
_tz = AnyField('tz')
_normalize = BoolField('normalize')
_name = StringField('name')
_closed = StringField('closed')
def __init__(self, start=None, end=None, periods=None,
freq=None, tz=None, normalize=None, name=None,
closed=None, output_types=None, **kw):
super().__init__(_start=start, _end=end, _periods=periods,
_freq=freq, _tz=tz, _normalize=normalize,
_name=name, _closed=closed,
_output_types=output_types, **kw)
if self.output_types is None:
self.output_types = [OutputType.index]
@property
def start(self):
return self._start
@property
def end(self):
return self._end
@property
def periods(self):
return self._periods
@property
def freq(self):
return self._freq
@property
def tz(self):
return self._tz
@property
def normalize(self):
return self._normalize
@property
def name(self):
return self._name
@property
def closed(self):
return self._closed
def __call__(self, shape, chunk_size=None):
dtype = pd.Index([self._start]).dtype
index_value = parse_index(pd.Index([], dtype=dtype),
self._start, self._end, self._periods,
self._tz)
# gen index value info
index_value.value._min_val = self._start
index_value.value._min_val_close = True
index_value.value._max_val = self._end
index_value.value._max_val_close = True
index_value.value._is_unique = True
index_value.value._is_monotonic_increasing = True
index_value.value._freq = self._freq
return self.new_index(None, shape=shape, dtype=dtype,
index_value=index_value, name=self._name,
raw_chunk_size=chunk_size, freq=self._freq)
@classmethod
def tile(cls, op):
out = op.outputs[0]
start = op.start
end = op.end
freq = op.freq
periods = op.periods
closed = op.closed
chunk_length = out.extra_params.raw_chunk_size or options.chunk_size
chunk_length = decide_chunk_sizes(out.shape, chunk_length, out.dtype.itemsize)[0]
if closed == 'right':
# if left not close, add one more for the first chunk
chunk_length = (chunk_length[0] + 1,) + chunk_length[1:]
if freq is None:
if periods > 1:
freq = (end - op.start) / (periods - 1)
else:
freq = end - start
out_chunks = []
cum_nsplit = [0] + np.cumsum(chunk_length).tolist()
for i, chunk_size in enumerate(chunk_length):
chunk_op = op.copy().reset_key()
chunk_op._periods = chunk_size
if closed != 'right' or i > 0:
chunk_op._closed = None
chunk_i_start = cum_nsplit[i]
if chunk_i_start > 0:
chunk_start = chunk_op._start = start + freq * chunk_i_start
else:
chunk_start = chunk_op._start = start
chunk_end = chunk_op._end = chunk_start + (chunk_size - 1) * freq
# gen chunk index_value
chunk_index_value = parse_index(out.index_value.to_pandas(), i, out)
chunk_index_value.value._min_val = chunk_start
chunk_index_value.value._min_val_close = True
chunk_index_value.value._max_val = chunk_end
chunk_index_value.value._max_val_close = True
chunk_index_value.value._is_unique = True
chunk_index_value.value._is_monotonic_increasing = True
size = chunk_size - 1 if i == 0 and closed == 'right' else chunk_size
out_chunk = chunk_op.new_chunk(None, shape=(size,),
index=(i,), dtype=out.dtype,
index_value=chunk_index_value,
name=out.name)
out_chunks.append(out_chunk)
new_op = op.copy()
params = out.params
params['chunks'] = out_chunks
params['nsplits'] = (tuple(c.shape[0] for c in out_chunks),)
return new_op.new_indexes(None, kws=[params])
@classmethod
def execute(cls, ctx, op):
start, end, periods = op.start, op.end, op.periods
freq = op.freq
if freq is not None:
end = None
ctx[op.outputs[0].key] = pd.date_range(
start=start, end=end, periods=periods, freq=freq,
tz=op.tz, normalize=op.normalize, name=op.name,
closed=op.closed)
_midnight = time(0, 0)
def _maybe_normalize_endpoints(start, end, normalize): # pragma: no cover
_normalized = True
if start is not None:
if normalize:
start = normalize_date(start)
_normalized = True
else:
_normalized = _normalized and start.time() == _midnight
if end is not None:
if normalize:
end = normalize_date(end)
_normalized = True
else:
_normalized = _normalized and end.time() == _midnight
return start, end, _normalized
def _infer_tz_from_endpoints(start, end, tz): # pragma: no cover
"""
If a timezone is not explicitly given via `tz`, see if one can
be inferred from the `start` and `end` endpoints. If more than one
of these inputs provides a timezone, require that they all agree.
Parameters
----------
start : Timestamp
end : Timestamp
tz : tzinfo or None
Returns
-------
tz : tzinfo or None
Raises
------
TypeError : if start and end timezones do not agree
"""
try:
inferred_tz = timezones.infer_tzinfo(start, end)
except AssertionError:
# infer_tzinfo raises AssertionError if passed mismatched timezones
raise TypeError(
"Start and end cannot both be tz-aware with different timezones"
)
inferred_tz = timezones.maybe_get_tz(inferred_tz)
tz = timezones.maybe_get_tz(tz)
if tz is not None and inferred_tz is not None:
if not timezones.tz_compare(inferred_tz, tz):
raise AssertionError("Inferred time zone not equal to passed time zone")
elif inferred_tz is not None:
tz = inferred_tz
return tz
def _maybe_localize_point(ts, is_none, is_not_none, freq, tz, ambiguous, nonexistent): # pragma: no cover
"""
Localize a start or end Timestamp to the timezone of the corresponding
start or end Timestamp
Parameters
----------
ts : start or end Timestamp to potentially localize
is_none : argument that should be None
is_not_none : argument that should not be None
freq : Tick, DateOffset, or None
tz : str, timezone object or None
ambiguous: str, localization behavior for ambiguous times
nonexistent: str, localization behavior for nonexistent times
Returns
-------
ts : Timestamp
"""
# Make sure start and end are timezone localized if:
# 1) freq = a Timedelta-like frequency (Tick)
# 2) freq = None i.e. generating a linspaced range
if is_none is None and is_not_none is not None:
# Note: We can't ambiguous='infer' a singular ambiguous time; however,
# we have historically defaulted ambiguous=False
ambiguous = ambiguous if ambiguous != "infer" else False
localize_args = {"ambiguous": ambiguous, "nonexistent": nonexistent, "tz": None}
if isinstance(freq, Tick) or freq is None:
localize_args["tz"] = tz
ts = ts.tz_localize(**localize_args)
return ts
def date_range(start=None, end=None, periods=None, freq=None, tz=None,
normalize=False, name=None, closed=None, chunk_size=None, **kwargs):
"""
Return a fixed frequency DatetimeIndex.
Parameters
----------
start : str or datetime-like, optional
Left bound for generating dates.
end : str or datetime-like, optional
Right bound for generating dates.
periods : int, optional
Number of periods to generate.
freq : str or DateOffset, default 'D'
Frequency strings can have multiples, e.g. '5H'. See
:ref:`here <timeseries.offset_aliases>` for a list of
frequency aliases.
tz : str or tzinfo, optional
Time zone name for returning localized DatetimeIndex, for example
'Asia/Hong_Kong'. By default, the resulting DatetimeIndex is
timezone-naive.
normalize : bool, default False
Normalize start/end dates to midnight before generating date range.
name : str, default None
Name of the resulting DatetimeIndex.
closed : {None, 'left', 'right'}, optional
Make the interval closed with respect to the given frequency to
the 'left', 'right', or both sides (None, the default).
**kwargs
For compatibility. Has no effect on the result.
Returns
-------
rng : DatetimeIndex
See Also
--------
DatetimeIndex : An immutable container for datetimes.
timedelta_range : Return a fixed frequency TimedeltaIndex.
period_range : Return a fixed frequency PeriodIndex.
interval_range : Return a fixed frequency IntervalIndex.
Notes
-----
Of the four parameters ``start``, ``end``, ``periods``, and ``freq``,
exactly three must be specified. If ``freq`` is omitted, the resulting
``DatetimeIndex`` will have ``periods`` linearly spaced elements between
``start`` and ``end`` (closed on both sides).
To learn more about the frequency strings, please see `this link
<https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases>`__.
Examples
--------
**Specifying the values**
The next four examples generate the same `DatetimeIndex`, but vary
the combination of `start`, `end` and `periods`.
Specify `start` and `end`, with the default daily frequency.
>>> import mars.dataframe as md
>>> md.date_range(start='1/1/2018', end='1/08/2018').execute()
DatetimeIndex(['2018-01-01', '2018-01-02', '2018-01-03', '2018-01-04',
'2018-01-05', '2018-01-06', '2018-01-07', '2018-01-08'],
dtype='datetime64[ns]', freq='D')
Specify `start` and `periods`, the number of periods (days).
>>> md.date_range(start='1/1/2018', periods=8).execute()
DatetimeIndex(['2018-01-01', '2018-01-02', '2018-01-03', '2018-01-04',
'2018-01-05', '2018-01-06', '2018-01-07', '2018-01-08'],
dtype='datetime64[ns]', freq='D')
Specify `end` and `periods`, the number of periods (days).
>>> md.date_range(end='1/1/2018', periods=8).execute()
DatetimeIndex(['2017-12-25', '2017-12-26', '2017-12-27', '2017-12-28',
'2017-12-29', '2017-12-30', '2017-12-31', '2018-01-01'],
dtype='datetime64[ns]', freq='D')
Specify `start`, `end`, and `periods`; the frequency is generated
automatically (linearly spaced).
>>> md.date_range(start='2018-04-24', end='2018-04-27', periods=3).execute()
DatetimeIndex(['2018-04-24 00:00:00', '2018-04-25 12:00:00',
'2018-04-27 00:00:00'],
dtype='datetime64[ns]', freq=None)
**Other Parameters**
Changed the `freq` (frequency) to ``'M'`` (month end frequency).
>>> md.date_range(start='1/1/2018', periods=5, freq='M').execute()
DatetimeIndex(['2018-01-31', '2018-02-28', '2018-03-31', '2018-04-30',
'2018-05-31'],
dtype='datetime64[ns]', freq='M')
Multiples are allowed
>>> md.date_range(start='1/1/2018', periods=5, freq='3M').execute()
DatetimeIndex(['2018-01-31', '2018-04-30', '2018-07-31', '2018-10-31',
'2019-01-31'],
dtype='datetime64[ns]', freq='3M')
`freq` can also be specified as an Offset object.
>>> md.date_range(start='1/1/2018', periods=5, freq=md.offsets.MonthEnd(3)).execute()
DatetimeIndex(['2018-01-31', '2018-04-30', '2018-07-31', '2018-10-31',
'2019-01-31'],
dtype='datetime64[ns]', freq='3M')
Specify `tz` to set the timezone.
>>> md.date_range(start='1/1/2018', periods=5, tz='Asia/Tokyo').execute()
DatetimeIndex(['2018-01-01 00:00:00+09:00', '2018-01-02 00:00:00+09:00',
'2018-01-03 00:00:00+09:00', '2018-01-04 00:00:00+09:00',
'2018-01-05 00:00:00+09:00'],
dtype='datetime64[ns, Asia/Tokyo]', freq='D')
`closed` controls whether to include `start` and `end` that are on the
boundary. The default includes boundary points on either end.
>>> md.date_range(start='2017-01-01', end='2017-01-04', closed=None).execute()
DatetimeIndex(['2017-01-01', '2017-01-02', '2017-01-03', '2017-01-04'],
dtype='datetime64[ns]', freq='D')
Use ``closed='left'`` to exclude `end` if it falls on the boundary.
>>> md.date_range(start='2017-01-01', end='2017-01-04', closed='left').execute()
DatetimeIndex(['2017-01-01', '2017-01-02', '2017-01-03'],
dtype='datetime64[ns]', freq='D')
Use ``closed='right'`` to exclude `start` if it falls on the boundary.
>>> md.date_range(start='2017-01-01', end='2017-01-04', closed='right').execute()
DatetimeIndex(['2017-01-02', '2017-01-03', '2017-01-04'],
dtype='datetime64[ns]', freq='D')
"""
# validate periods
if isinstance(periods, (float, np.floating)):
periods = int(periods)
if periods is not None and not isinstance(periods, (int, np.integer)):
raise TypeError(f'periods must be a number, got {periods}')
if freq is None and any(arg is None for arg in [periods, start, end]):
freq = 'D'
if sum(arg is not None for arg in [start, end, periods, freq]) != 3:
raise ValueError('Of the four parameters: start, end, periods, '
'and freq, exactly three must be specified')
freq = to_offset(freq)
if start is not None:
start = pd.Timestamp(start)
if end is not None:
end = pd.Timestamp(end)
if start is pd.NaT or end is pd.NaT:
raise ValueError('Neither `start` nor `end` can be NaT')
start, end, _ = _maybe_normalize_endpoints(start, end, normalize)
tz = _infer_tz_from_endpoints(start, end, tz)
if start is None and end is not None:
# start is None and end is not None
# adjust end first
end = pd.date_range(end=end, periods=1, freq=freq)[0]
size = periods
start = end - (periods - 1) * freq
if closed == 'left':
size -= 1
elif closed == 'right':
# when start is None, closed == 'left' would not take effect
# thus just ignore
closed = None
elif end is None:
# end is None
# adjust start first
start = pd.date_range(start=start, periods=1, freq=freq)[0]
size = periods
end = start + (periods - 1) * freq
if closed == 'right':
size -= 1
elif closed == 'left':
# when end is None, closed == 'left' would not take effect
# thus just ignore
closed = None
else:
if periods is None:
periods = size = int((end - start) / freq + 1)
else:
size = periods
if closed is not None:
size -= 1
shape = (size,)
op = DataFrameDateRange(start=start, end=end, periods=periods,
freq=freq, tz=tz, normalize=normalize,
closed=closed, name=name, **kwargs)
return op(shape, chunk_size=chunk_size)
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python_concurrency/simulationExample_multiprocessing.py | karthik/berkeley | 106 | 165292 | import numpy as np
import time
from multiprocessing import Pool, cpu_count
import sys
sys.path.append('..')
from numpyVectorization.motion_gauss import simulateParticles_loop
# How do we pass multiple arguments via pool? Use wrapper functions! Note:
# lambda functions will NOT work for this purpose
def wrapper_fun(args):
return simulateParticles_loop(*args)
if __name__ == "__main__":
num_particles = 100000
num_steps = 100
num_cpus = cpu_count()
# Determine how many particles to run on each worker
num_particles_per_core = int(num_particles / num_cpus)
# # input arrays
# inArys = [np.zeros((num_particles_per_core, num_steps)) for i in range(num_cpus)]
# for ary in inArys: print ary.shape
# Set up our pool
p = Pool(num_cpus)
# Make our arguments
args = [(num_particles_per_core, num_steps, False)] * num_cpus
# from itertools import izip, repeat
# args = izip(repeat(num_particles_per_core, num_cpus), repeat(num_steps, num_cpus), repeat(False, num_cpus))
# Send the wrapper function and the iterable args to map
tic = time.time() # Start time of code running
result = p.map_async(wrapper_fun, args)
# Get the result when it's ready
poolresult = result.get()
toc = time.time()
p.close()
p.join()
print "%.5f sec to compute %s particles" %((toc-tic), num_particles)
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vnegmas/backend/src/nnegmas/my_factory_managers.py | YueNing/vnegmas | 3 | 135794 | <gh_stars>1-10
import itertools
# from negmas.helpers import ConfigReader, LoggerMixin
import logging
from abc import ABC, abstractmethod
from collections import defaultdict
from negmas import (AgentMechanismInterface, Breach, Contract, MechanismState,
Negotiator, RenegotiationRequest, UtilityFunction)
from negmas.apps.scml import DoNothingFactoryManager, FactoryManager
from negmas.apps.scml.awi import SCMLAWI, _ShadowSCMLAWI
from negmas.apps.scml.common import (CFP, INVALID_UTILITY, Factory,
FinancialReport, Loan, ProductionFailure,
SCMLAgreement)
from negmas.apps.scml.consumers import (ConsumptionProfile,
ScheduleDrivenConsumer)
from negmas.apps.scml.schedulers import (GreedyScheduler, ScheduleInfo,
Scheduler)
from negmas.apps.scml.simulators import (FactorySimulator,
FastFactorySimulator,
storage_as_array,
temporary_transaction)
from negmas.common import NamedObject
from negmas.events import Notification
from negmas.helpers import get_class
from negmas.outcomes import Issue, Outcome
from negmas.utilities import UtilityValue, normalize
from .my_mechanism import AspirationNegotiator
if True:
from typing import (
Dict,
Iterable,
Any,
Callable,
Collection,
Type,
List,
Optional,
Union,
)
class MyFactoryManager(DoNothingFactoryManager):
"""My factory manager"""
def on_production_failure(self, failures: List[ProductionFailure]) -> None:
"""
On Production FailureCalled when there is a production failure due to lack of inputs or funds.
"""
# for failure in failures:
# self.awi.logdebug(f'production failure id: {failure.line} missing_inputs: {failure.missing_inputs} \
# missing_money: {failure.missing_money} missing_space: {failure.missing_space}')
pass
def confirm_loan(self, loan: Loan, bankrupt_if_rejected: bool) -> bool:
# self.awi.logdebug(f'loan: {Loan}, Bankrupt_if_rejected:{bankrupt_if_rejected}')
return bankrupt_if_rejected
def confirm_contract_execution(self, contract: Contract) -> bool:
# self.awi.logdebug(f'contract:{contract}')
# import random
# control_probability_factor = 0.1
# random return true confirm contract execution
# def decision(probability):
# return random.random() < probability
# if decision(control_probability_factor):
# return True
# return False
return True
def set_renegotiation_agenda(
self, contract: Contract, breaches: List[Breach]
) -> Optional[RenegotiationRequest]:
# self.awi.logdebug(f'Contract set renegotiation agenda {contract}')
# self.awi.logdebug(f'breaches set renegotiation agenda {breaches}')
# total_breach_levels = defaultdict(int)
# for breach in breaches:
# total_breach_levels[breach.perpetrator] += breach.level
# for perpetrator,total_breach_level in total_breach_levels.items():
# : Total breach Level
# if total_breach_level > 0.5:
# return None
# else:
# self.awi.logdebug(f'return new renegotiation request, publischer {self.id} total breach level of perpetrator {perpetrator} is {total_breach_level}')
# if 'cfp' in contract.annotation:
# renegotiationrequest = RenegotiationRequest(publisher=f'{self.id}', issues=contract.issues, annotation=contract.annotation)
# return renegotiationrequest
# return None
return None
def respond_to_renegotiation_request(
self, contract: Contract, breaches: List[Breach], agenda: RenegotiationRequest
) -> Optional[Negotiator]:
# total_breach_levels = defaultdict(int)
# for breach in breaches:
# total_breach_levels[breach.perpetrator] += breach.level
# for perpetrator, total_breach_level in total_breach_levels.items():
# if total_breach_level > 0.5:
# self.awi.logdebug(f'return new negotiator for renegotiation request None ')
# return None
# else:
# name = self.name + '*' + perpetrator
# self.awi.logdebug(f'return new negotiator for renegotiation request negotiator name {name} perpetrator {perpetrator} ')
# if 'cfp' in contract.annotation:
# neg = self.negotiator_type(name=name, **self.negotiator_params)
# neg.utility_function = normalize(self.ufun_factory(self, contract.annotation),
# outcomes=contract.annotation['cfp'].outcomes, infeasible_cutoff=0)
# return neg
# return None
return None
def __init__(
self,
log_file_name=None,
screen_log=False,
name=None,
simulator_type: Union[str, Type[FactorySimulator]] = FastFactorySimulator,
scheduler_type: Union[str, Type[Scheduler]] = GreedyScheduler,
scheduler_params: Optional[Dict[str, Any]] = None,
optimism: float = 0.0,
negotiator_type: Union[
str, Type[Negotiator]
] = "vnegmas.backend.src.nnegmas.my_mechanism.MyTestNegotiator",
negotiator_params: Optional[Dict[str, Any]] = None,
n_retrials=5,
use_consumer=True,
reactive=True,
sign_only_guaranteed_contracts=False,
riskiness=0.0,
max_insurance_premium: float = 0.1,
):
super().__init__(name=name, simulator_type=simulator_type)
# LoggerMixin.__init__(self, file_name=log_file_name)
self.negotiator_type = get_class(negotiator_type, scope=globals())
self.negotiator_params = (
negotiator_params if negotiator_params is not None else {}
)
self.optimism = optimism
self.ufun_factory: Union[
Type[NegotiatorUtility], Callable[[Any, Any], NegotiatorUtility]
]
if optimism < 1e-6:
self.ufun_factory = PessimisticNegotiatorUtility
elif optimism > 1 - 1e-6:
self.ufun_factory = OptimisticNegotiatorUtility
else:
self.ufun_factory: NegotiatorUtility = lambda agent, annotation: AveragingNegotiatorUtility(
agent=agent, annotation=annotation, optimism=self.optimism
)
self.max_insurance_premium = max_insurance_premium
self.n_retrials = n_retrials
self.n_neg_trials: Dict[str, int] = defaultdict(int)
self.consumer = None
self.use_consumer = use_consumer
self.reactive = reactive
self.sign_only_guaranteed_contracts = sign_only_guaranteed_contracts
self.contract_schedules: Dict[str, ScheduleInfo] = {}
self.riskiness = riskiness
self.negotiation_margin = int(round(n_retrials * max(0.0, 1.0 - riskiness)))
self.scheduler_type: Type[Scheduler] = get_class(
scheduler_type, scope=globals()
)
self.scheduler: Scheduler = None
self.scheduler_params: Dict[
str, Any
] = scheduler_params if scheduler_params is not None else {}
def total_utility(self, contracts: Collection[Contract] = ()) -> float:
"""Calculates the total utility for the agent of a collection of contracts"""
if self.scheduler is None:
raise ValueError("Cannot calculate total utility without a scheduler")
min_concluded_at = self.awi.current_step
min_sign_at = min_concluded_at + self.awi.default_signing_delay
with temporary_transaction(self.scheduler):
schedule = self.scheduler.schedule(
contracts=contracts,
assume_no_further_negotiations=False,
ensure_storage_for=self.transportation_delay,
start_at=min_sign_at,
)
if not schedule.valid:
return INVALID_UTILITY
return schedule.final_balance
def init(self):
if self.use_consumer:
# @todo add the parameters of the consumption profile as parameters of the greedy factory manager
# TODO:1 Initialize a greedy scheduler and a consumer agent for managing need acquisition for production
self.consumer: ScheduleDrivenConsumer = ScheduleDrivenConsumer(
profiles=dict(
zip(
self.consuming.keys(),
(
ConsumptionProfile(schedule=[_] * self.awi.n_steps)
for _ in itertools.repeat(0)
),
)
),
consumption_horizon=self.awi.n_steps,
immediate_cfp_update=True,
name=self.name,
)
# self.logdebug(f'{self.consuming}')
self.consumer.id = self.id
self.consumer.awi = self.awi
self.consumer.init_()
self.scheduler = self.scheduler_type(
manager_id=self.id,
awi=self.awi,
max_insurance_premium=self.max_insurance_premium,
**self.scheduler_params,
)
self.scheduler.init(
simulator=self.simulator,
products=self.products,
processes=self.processes,
producing=self.producing,
profiles=self.compiled_profiles,
)
def respond_to_negotiation_request(
self, cfp: "CFP", partner: str
) -> Optional[Negotiator]:
if self.awi.is_bankrupt(partner):
return None
if self.use_consumer:
return self.consumer.respond_to_negotiation_request(
cfp=cfp, partner=partner
)
else:
name = self.name + "*" + partner
neg = self.negotiator_type(
name=self.name + "*" + partner, **self.negotiator_params
)
self.awi.logdebug(f"respond to negotiation request neg name {name}")
neg.utility_function = normalize(
self.ufun_factory(self, self._create_annotation(cfp=cfp)),
outcomes=cfp.outcomes,
infeasible_cutoff=0,
)
return neg
def on_negotiation_success(
self, contract: Contract, mechanism: AgentMechanismInterface
):
if self.use_consumer:
self.consumer.on_negotiation_success(contract, mechanism)
def on_negotiation_failure(
self,
partners: List[str],
annotation: Dict[str, Any],
mechanism: AgentMechanismInterface,
state: MechanismState,
) -> None:
# TODO8: if the factory manage was not the publisher of the cfp, and leading to this negotionation, it can retry negotiation up to 5 times per cfp with the same utility function
if self.use_consumer:
self.consumer.on_negotiation_failure(partners, annotation, mechanism, state)
cfp = annotation["cfp"]
thiscfp = self.awi.bb_query(section="cfps", query=cfp.id, query_keys=True)
if (
cfp.publisher != self.id
and thiscfp is not None
and len(thiscfp) > 0
and self.n_neg_trials[cfp.id] < self.n_retrials
):
self.awi.logdebug(f"Renegotiating {self.n_neg_trials[cfp.id]} on {cfp}")
self.on_new_cfp(cfp=annotation["cfp"])
def _execute_schedule(self, schedule: ScheduleInfo, contract: Contract) -> None:
# TODO: what is exactly mean of factory simulator is not defined
if self.simulator is None:
raise ValueError("No factory simulator is defined")
awi: SCMLAWI = self.awi
total = contract.agreement["unit_price"] * contract.agreement["quantity"]
product = contract.annotation["cfp"].product
# TODO: For buyer use consumer
if contract.annotation["buyer"] == self.id:
self.simulator.buy(
product=product,
quantity=contract.agreement["quantity"],
price=total,
t=contract.agreement["time"],
)
if total <= 0 or self.max_insurance_premium < 0.0 or contract is None:
return
premium = awi.evaluate_insurance(contract=contract)
if premium is None:
return
relative_premium = premium / total
if relative_premium <= self.max_insurance_premium:
awi.buy_insurance(contract=contract)
self.simulator.pay(premium, self.awi.current_step)
return
# I am a seller
# TODO: factory manager as seller
self.simulator.sell(
product=product,
quantity=contract.agreement["quantity"],
price=total,
t=contract.agreement["time"],
)
for job in schedule.jobs:
if job.action == "run":
awi.schedule_job(job, contract=contract)
elif job.action == "stop":
awi.stop_production(
line=job.line,
step=job.time,
contract=contract,
override=job.override,
)
else:
awi.schedule_job(job, contract=contract)
self.simulator.schedule(job=job, override=False)
for need in schedule.needs:
if need.quantity_to_buy <= 0:
continue
product_id = need.product
# self.simulator.reserve(product=product_id, quantity=need.quantity_to_buy, t=need.step)
if self.use_consumer:
self.consumer.profiles[product_id].schedule[
need.step
] += need.quantity_to_buy
self.consumer.register_product_cfps(
p=product_id,
t=need.step,
profile=self.consumer.profiles[product_id],
)
continue
product = self.products[product_id]
if product.catalog_price is None:
price_range = (0.0, 100.0)
else:
price_range = (0.5, 1.5 * product.catalog_price)
# @todo check this. This error is raised sometimes
if need.step < awi.current_step:
continue
# raise ValueError(f'need {need} at {need.step} while running at step {awi.current_step}')
time = (
need.step
if self.max_storage is not None
else (awi.current_step, need.step)
)
cfp = CFP(
is_buy=True,
publisher=self.id,
product=product_id,
time=time,
unit_price=price_range,
quantity=(1, int(1.1 * need.quantity_to_buy)),
)
awi.register_cfp(cfp)
def sign_contract(self, contract: Contract):
if any(self.awi.is_bankrupt(partner) for partner in contract.partners):
return None
signature = self.id
with temporary_transaction(self.scheduler):
schedule = self.scheduler.schedule(
assume_no_further_negotiations=False,
contracts=[contract],
ensure_storage_for=self.transportation_delay,
start_at=self.awi.current_step + 1,
)
if self.sign_only_guaranteed_contracts and (
not schedule.valid or len(schedule.needs) > 1
):
self.awi.logdebug(
f"{self.name} refused to sign contract {contract.id} because it cannot be scheduled"
)
return None
# if schedule.final_balance <= self.simulator.final_balance:
# self.awi.logdebug(f'{self.name} refused to sign contract {contract.id} because it is not expected '
# f'to lead to profit')
# return None
if schedule.valid:
profit = schedule.final_balance - self.simulator.final_balance
self.awi.logdebug(
f"{self.name} singing contract {contract.id} expecting "
f'{-profit if profit < 0 else profit} {"loss" if profit < 0 else "profit"}'
)
else:
self.awi.logdebug(
f"{self.name} singing contract {contract.id} expecting breach"
)
return None
self.contract_schedules[contract.id] = schedule
return signature
def on_contract_signed(self, contract: Contract):
if contract.annotation["buyer"] == self.id and self.use_consumer:
self.consumer.on_contract_signed(contract)
schedule = self.contract_schedules[contract.id]
if schedule is not None and schedule.valid:
self._execute_schedule(schedule=schedule, contract=contract)
if contract.annotation["buyer"] != self.id or not self.use_consumer:
for negotiation in self._running_negotiations.values():
self.notify(
negotiation.negotiator,
Notification(type="ufun_modified", data=None),
)
def _process_buy_cfp(self, cfp: "CFP") -> None:
# TODO5: Condition1: use the awi interface to check the bank situation of publisher, if is bankrupt, then ignore this specical cfp
if self.awi.is_bankrupt(cfp.publisher):
return None
# TODO5: total insufficient funds breaches above 10, can not except agreement, directly ignore this cfp
# TODO5.1: what is self.simulator???
if self.simulator is None or not self.can_expect_agreement(
cfp=cfp, margin=self.negotiation_margin
):
return
# TODO5: Conidtion2: if the factory can not producte the product of this cfp, then ignore this cfp
# TODO5.1 :requires securing input products in less than one step
if not self.can_produce(cfp=cfp):
return
# TODO5: satisfy all the condition, then process this buy cfp, request **negotiation**
if self.negotiator_type == AspirationNegotiator:
# TODO5.1: what is the mean of assume_normalized, why when use AspirationNegotiator, set this paramters to True
neg = self.negotiator_type(
assume_normalized=True, name=self.name + ">" + cfp.publisher
)
else:
neg = self.negotiator_type(name=self.name + ">" + cfp.publisher)
self.request_negotiation(
negotiator=neg,
cfp=cfp,
ufun=normalize(
self.ufun_factory(self, self._create_annotation(cfp=cfp)),
outcomes=cfp.outcomes,
infeasible_cutoff=-1500,
),
)
def _process_sell_cfp(self, cfp: "CFP"):
if self.awi.is_bankrupt(cfp.publisher):
return None
# TODO6: greedy factory manager just publiches "buy" cpfs for acquiring production needs, as use conumer, then calls the internal consumer object to handle production needs acquisition
# TODO6.1: what's the different between use conumser and internal consumer or just the same object(checked the same object, as consumer agent)
if self.use_consumer:
self.consumer.on_new_cfp(cfp=cfp)
def on_new_cfp(self, cfp: "CFP") -> None:
if not self.reactive:
return
# TODO4: (1). processing the buy cfps, check in the producing of factory wether has the relativ production
# TODO4: (2). processing the sell cfps, check in the consuming of factory wether has the selection or not
if cfp.satisfies(
query={"is_buy": True, "products": list(self.producing.keys())}
):
self._process_buy_cfp(cfp)
if cfp.satisfies(
query={"is_buy": False, "products": list(self.consuming.keys())}
):
self._process_sell_cfp(cfp)
def step(self):
# TODO2: consumer agent for managing need acquisition for production
if self.use_consumer:
self.consumer.step()
if self.reactive:
return
# 0. remove all my CFPs
# self.awi.bb_remove(section='cfps', query={'publisher': self})
# respond to interesting CFPs
# todo: should check time and sort products by interest etc
# TODO3: respond to buy CFPS if have the buy cfps, then call the function _process_buy_cfp(cfp)
cfps = self.awi.bb_query(
section="cfps", query={"products": self.producing.keys(), "is_buy": True}
)
if cfps is None:
return
for cfp in cfps.values():
self._process_buy_cfp(cfp)
def can_produce(self, cfp: CFP, assume_no_further_negotiations=False) -> bool:
"""Whether or not we can produce the required item in time"""
# TODO7: determinate wether can produce the required item in time
# TODO7.1: the product of cfp not in producing keys return can not produce
if cfp.product not in self.producing.keys():
return False
# TODO7: use SCMLAgreement to check
agreement = SCMLAgreement(
time=cfp.max_time, unit_price=cfp.max_unit_price, quantity=cfp.min_quantity
)
min_concluded_at = self.awi.current_step + 1 - int(self.immediate_negotiations)
min_sign_at = min_concluded_at + self.awi.default_signing_delay
if cfp.max_time < min_sign_at + 1: # 1 is minimum time to produce the product
return False
with temporary_transaction(self.scheduler):
schedule = self.scheduler.schedule(
contracts=[
Contract(
partners=[self.id, cfp.publisher],
agreement=agreement,
annotation=self._create_annotation(cfp=cfp),
issues=cfp.issues,
signed_at=min_sign_at,
concluded_at=min_concluded_at,
)
],
ensure_storage_for=self.transportation_delay,
assume_no_further_negotiations=assume_no_further_negotiations,
start_at=min_sign_at,
)
return schedule.valid and self.can_secure_needs(
schedule=schedule, step=self.awi.current_step
)
def can_secure_needs(self, schedule: ScheduleInfo, step: int):
"""
Finds if it is possible in principle to arrange these needs at the given time.
Args:
schedule:
step:
Returns:
"""
needs = schedule.needs
if len(needs) < 1:
return True
for need in needs:
if need.quantity_to_buy > 0 and need.step < step + 1 - int(
self.immediate_negotiations
): # @todo check this
return False
return True
class TestFactory(DoNothingFactoryManager):
""" Test Factory For self defined negotiation negotiator"""
class NegotiatorUtility(UtilityFunction):
"""The utility function of a negotiator."""
def __init__(
self,
agent: MyFactoryManager,
annotation: Dict[str, Any],
name: Optional[str] = None,
):
if name is None:
name = (
agent.name
+ "*"
+ "*".join(_ for _ in annotation["partners"] if _ != agent.id)
)
super().__init__(name=name)
self.agent = agent
self.annotation = annotation
def _contracts(self, agreements: Iterable[SCMLAgreement]) -> Collection[Contract]:
"""Converts agreements/outcomes into contracts"""
if self.ami is None:
raise ValueError("No annotation is stored (No mechanism info)")
annotation = self.ami.annotation
return [
Contract(
partners=annotation["partners"],
agreement=a,
annotation=annotation,
issues=self.ami.issues,
)
for a in agreements
]
def _contract(self, agreement: SCMLAgreement) -> Contract:
"""Converts an agreement/outcome into a contract"""
annotation = self.annotation
return Contract(
partners=annotation["partners"],
agreement=agreement,
annotation=annotation,
issues=annotation["cfp"].issues,
)
def _free_sale(self, agreement: SCMLAgreement) -> bool:
return (
self.annotation["seller"] == self.agent.id
and agreement["unit_price"] < 1e-6
)
def __call__(self, outcome: Outcome) -> Optional[UtilityValue]:
if isinstance(outcome, dict):
return self.call(agreement=SCMLAgreement(**outcome))
if isinstance(outcome, SCMLAgreement):
return self.call(agreement=outcome)
raise ValueError(f"Outcome: {outcome} cannot be converted to an SCMLAgreement")
@abstractmethod
def call(self, agreement: SCMLAgreement) -> Optional[UtilityValue]:
"""Called to evaluate a agreement"""
def xml(self, issues: List[Issue]) -> str:
return "NegotiatorUtility has not xml representation"
class PessimisticNegotiatorUtility(NegotiatorUtility):
"""The utility function of a negotiator that assumes other negotiations currently open will fail."""
def call(self, agreement: SCMLAgreement) -> Optional[UtilityValue]:
"""An offer will be a tuple of one value which in turn will be a list of contracts"""
if self._free_sale(agreement):
return INVALID_UTILITY
# contracts = self.agent.contracts
# hypothetical = list(contracts)
# hypothetical.append(self._contract(agreement))
hypothetical = [self._contract(agreement)]
base_util = self.agent.simulator.final_balance
hypothetical = self.agent.total_utility(hypothetical)
if hypothetical < 0:
return INVALID_UTILITY
return hypothetical - base_util
class OptimisticNegotiatorUtility(NegotiatorUtility):
"""The utility function of a negotiator that assumes other negotiations currently open will succeed."""
def call(self, agreement: SCMLAgreement) -> Optional[UtilityValue]:
if self._free_sale(agreement):
return INVALID_UTILITY
# contracts = self.agent.contracts
# hypothetical = list(contracts)
# hypothetical.append(self._contract(agreement))
hypothetical = [self._contract(agreement)]
for negotiation in self.agent.running_negotiations: # type: ignore
negotiator = negotiation.negotiator
current_offer = negotiator.my_last_proposal
if current_offer is not None:
hypothetical.append(self._contract(current_offer))
base_util = self.agent.simulator.final_balance
hypothetical = self.agent.total_utility(list(hypothetical))
if hypothetical < 0:
return INVALID_UTILITY
return hypothetical - base_util
class AveragingNegotiatorUtility(NegotiatorUtility):
"""A utility function that combines optimistic and pessimistic evaluators linearly using adjustable weight"""
def __init__(
self,
agent: MyFactoryManager,
annotation: Dict[str, Any],
name: Optional[str] = None,
optimism: float = 0.5,
):
NamedObject.__init__(self=self, name=name)
self.optimism = optimism
self.optimistic = OptimisticNegotiatorUtility(
agent=agent, annotation=annotation
)
self.pessimistic = PessimisticNegotiatorUtility(
agent=agent, annotation=annotation
)
def call(self, agreement: SCMLAgreement) -> Optional[UtilityValue]:
if self._free_sale(agreement):
return INVALID_UTILITY
opt, pess = self.optimistic(agreement), self.pessimistic(agreement)
if opt is None or pess is None:
return None
return self.optimism * opt + (1 - self.optimism) * pess
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ocd_backend/models/definitions/person.py | aolieman/open-raadsinformatie | 0 | 182919 | """The classes in this person module are derived from and described by:
http://www.w3.org/ns/person#
"""
import foaf
from ocd_backend.models.definitions import Opengov, Schema, Foaf, Rdfs, \
Dcterms, Bio, Vcard, Person as PersonNS, Meeting
from ocd_backend.models.properties import StringProperty, URLProperty, DateTimeProperty, \
Relation
class Person(PersonNS, foaf.Agent):
biography = StringProperty(Bio, 'biography')
contact_details = Relation(Opengov, 'contactDetail')
alternative_name = StringProperty(Dcterms, 'alternative')
family_name = StringProperty(Foaf, 'familyName')
gender = StringProperty(Foaf, 'gender')
given_name = StringProperty(Foaf, 'givenName')
additional_name = StringProperty(Schema, 'additionalName')
home_location = StringProperty(Schema, 'homeLocation')
honorific_prefix = StringProperty(Schema, 'honorificPrefix')
honorific_suffix = StringProperty(Schema, 'honorificSuffix')
nickname = StringProperty(Vcard, 'nickname')
initials = StringProperty(Meeting, 'initials')
name = StringProperty(Foaf, 'name')
national_identity = StringProperty(Opengov, 'nationalIdentity')
summary = StringProperty(Bio, 'olb')
other_names = StringProperty(Opengov, 'otherName')
links = URLProperty(Rdfs, 'seeAlso')
birth_place = StringProperty(Schema, 'birthPlace')
birth_date = DateTimeProperty(Schema, 'birthDate')
death_date = DateTimeProperty(Schema, 'deathDate')
email = StringProperty(Schema, 'email')
image = Relation(Schema, 'image')
phone = StringProperty(Schema, 'telephone')
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ofa/imagenet_codebase/utils/pytorch_modules.py | twice154/ofa-pytorch | 9 | 149841 | # Once for All: Train One Network and Specialize it for Efficient Deployment
# <NAME>, <NAME>, <NAME>, <NAME>, <NAME>
# International Conference on Learning Representations (ICLR), 2020.
from collections import OrderedDict
import torch
import torch.nn as nn
import torch.nn.functional as F
def make_divisible(v, divisor, min_val=None):
"""
This function is taken from the original tf repo.
It ensures that all layers have a channel number that is divisible by 8
It can be seen here:
https://github.com/tensorflow/models/blob/master/research/slim/nets/mobilenet/mobilenet.py
:param v:
:param divisor:
:param min_val:
:return:
"""
if min_val is None:
min_val = divisor
new_v = max(min_val, int(v + divisor / 2) // divisor * divisor)
# Make sure that round down does not go down by more than 10%.
if new_v < 0.9 * v:
new_v += divisor
return new_v
def build_activation(act_func, inplace=True, upscale_factor=2):
if act_func == 'relu':
return nn.ReLU(inplace=inplace)
elif act_func == 'relu6':
return nn.ReLU6(inplace=inplace)
elif act_func == 'tanh':
return nn.Tanh()
elif act_func == 'sigmoid':
return nn.Sigmoid()
elif act_func == 'h_swish':
return Hswish(inplace=inplace)
elif act_func == 'h_sigmoid':
return Hsigmoid(inplace=inplace)
elif act_func == 'prelu':
return nn.PReLU(inplace=inplace)
elif act_func == 'lrelu':
return nn.LeakyReLU(0.1, inplace=inplace)
elif act_func == 'pixelshuffle':
return build_pixelshuffle(upscale_factor=2)
elif act_func == 'pixelshuffle+relu':
return nn.Sequential(
build_pixelshuffle(upscale_factor=upscale_factor),
nn.ReLU(inplace=inplace)
)
elif act_func == 'pixelshuffle+relu6':
return nn.Sequential(
build_pixelshuffle(upscale_factor=upscale_factor),
nn.ReLU6(inplace=inplace)
)
elif act_func == 'pixelshuffle+prelu':
return nn.Sequential(
build_pixelshuffle(upscale_factor=upscale_factor),
nn.PReLU(inplace=inplace)
)
elif act_func == 'pixelshuffle+lrelu':
return nn.Sequential(
build_pixelshuffle(upscale_factor=upscale_factor),
nn.LeakyReLU(0.1, inplace=inplace)
)
elif act_func == 'pixelunshuffle':
return build_pixelunshuffle(downscale_factor=2)
elif act_func == 'pixelunshuffle+relu':
return nn.Sequential(
build_pixelunshuffle(downscale_factor=upscale_factor),
nn.ReLU(inplace=inplace)
)
elif act_func == 'pixelunshuffle+relu6':
return nn.Sequential(
build_pixelunshuffle(downscale_factor=upscale_factor),
nn.ReLU6(inplace=inplace)
)
elif act_func == 'pixelunshuffle+prelu':
return nn.Sequential(
build_pixelunshuffle(downscale_factor=upscale_factor),
nn.PReLU(inplace=inplace)
)
elif act_func == 'pixelunshuffle+lrelu':
return nn.Sequential(
build_pixelunshuffle(downscale_factor=upscale_factor),
nn.LeakyReLU(0.1, inplace=inplace)
)
elif act_func is None:
return None
else:
raise ValueError('do not support: %s' % act_func)
def build_pixelshuffle(upscale_factor=2):
return nn.PixelShuffle(upscale_factor=upscale_factor)
def build_pixelunshuffle(downscale_factor=2):
return PixelUnshuffle(downscale_factor=downscale_factor)
class ShuffleLayer(nn.Module):
def __init__(self, groups):
super(ShuffleLayer, self).__init__()
self.groups = groups
def forward(self, x):
batchsize, num_channels, height, width = x.size()
channels_per_group = num_channels // self.groups
# reshape
x = x.view(batchsize, self.groups, channels_per_group, height, width)
x = torch.transpose(x, 1, 2).contiguous()
# flatten
x = x.view(batchsize, -1, height, width)
return x
class Hswish(nn.Module):
def __init__(self, inplace=True):
super(Hswish, self).__init__()
self.inplace = inplace
def forward(self, x):
return x * F.relu6(x + 3., inplace=self.inplace) / 6.
class Hsigmoid(nn.Module):
def __init__(self, inplace=True):
super(Hsigmoid, self).__init__()
self.inplace = inplace
def forward(self, x):
return F.relu6(x + 3., inplace=self.inplace) / 6.
class SEModule(nn.Module):
REDUCTION = 4
def __init__(self, channel):
super(SEModule, self).__init__()
self.channel = channel
self.reduction = SEModule.REDUCTION
num_mid = make_divisible(self.channel // self.reduction, divisor=8)
self.fc = nn.Sequential(OrderedDict([
('reduce', nn.Conv2d(self.channel, num_mid, 1, 1, 0, bias=True)),
('relu', nn.ReLU(inplace=True)),
('expand', nn.Conv2d(num_mid, self.channel, 1, 1, 0, bias=True)),
('h_sigmoid', Hsigmoid(inplace=True)),
]))
def forward(self, x):
y = x.mean(3, keepdim=True).mean(2, keepdim=True)
y = self.fc(y)
return x * y
# import torch
# import torch.nn as nn
# import torch.nn.functional as F
def pixel_unshuffle(input, downscale_factor):
'''
input: batchSize * c * k*w * k*h
kdownscale_factor: k
batchSize * c * k*w * k*h -> batchSize * k*k*c * w * h
'''
c = input.shape[1]
kernel = torch.zeros(size=[downscale_factor * downscale_factor * c,
1, downscale_factor, downscale_factor],
device=input.device)
for y in range(downscale_factor):
for x in range(downscale_factor):
kernel[x + y * downscale_factor::downscale_factor*downscale_factor, 0, y, x] = 1
return F.conv2d(input, kernel, stride=downscale_factor, groups=c)
class PixelUnshuffle(nn.Module):
def __init__(self, downscale_factor):
super(PixelUnshuffle, self).__init__()
self.downscale_factor = downscale_factor
def forward(self, input):
'''
input: batchSize * c * k*w * k*h
kdownscale_factor: k
batchSize * c * k*w * k*h -> batchSize * k*k*c * w * h
'''
return pixel_unshuffle(input, self.downscale_factor) | [
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] |
vunit/com/codec_vhdl_package.py | nordicneurolab/vunit | 1 | 71488 | # This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this file,
# You can obtain one at http://mozilla.org/MPL/2.0/.
#
# Copyright (c) 2014-2020, <NAME> <EMAIL>
"""
Module containing the CodecVHDLPackage class.
"""
from string import Template
from vunit.vhdl_parser import VHDLPackage
from vunit.vhdl_parser import remove_comments
from vunit.com.codec_vhdl_enumeration_type import CodecVHDLEnumerationType
from vunit.com.codec_vhdl_array_type import CodecVHDLArrayType
from vunit.com.codec_vhdl_record_type import CodecVHDLRecordType
class CodecVHDLPackage(VHDLPackage):
"""Class derived from VHDLPackage to provide codec generator functionality for the data types definied
in the package."""
def __init__(self, identifier, enumeration_types, record_types, array_types):
super(CodecVHDLPackage, self).__init__(
identifier, enumeration_types, record_types, array_types
)
self._template = None
@classmethod
def parse(cls, code):
"""
Return a new VHDLPackage instance for a single package found within the code
"""
code = remove_comments(code).lower()
return cls(
cls._package_start_re.match(code).group("id"),
list(CodecVHDLEnumerationType.find(code)),
list(CodecVHDLRecordType.find(code)),
list(CodecVHDLArrayType.find(code)),
)
@classmethod
def find_named_package(cls, code, name):
"""Find and return the named package in the code (if it exists)"""
for package in cls.find(code):
if package.identifier == name:
return package
return None
def generate_codecs_and_support_functions(self):
"""Generate codecs and communication support functions for the data types defined in self."""
self._template = PackageCodecTemplate()
declarations = ""
definitions = ""
# Record
(
new_declarations,
new_definitions,
) = self._generate_record_codec_and_to_string_functions()
declarations += new_declarations
definitions += new_definitions
new_declarations, new_definitions = self._generate_msg_type_encoders()
declarations += new_declarations
definitions += new_definitions
new_declarations, new_definitions = self._generate_get_functions()
declarations += new_declarations
definitions += new_definitions
# Enumerations
(
all_msg_types_enumeration_type,
msg_type_enumeration_types,
) = self._create_enumeration_of_all_msg_types()
if all_msg_types_enumeration_type is not None:
declarations += self._template.all_msg_types_enumeration_type_declaration.substitute(
identifier=all_msg_types_enumeration_type.identifier,
literals=", ".join(all_msg_types_enumeration_type.literals),
)
if all_msg_types_enumeration_type is not None:
declarations += self._template.get_msg_type_declaration.substitute(
type=all_msg_types_enumeration_type.identifier
)
definitions += self._template.get_msg_type_definition.substitute(
type=all_msg_types_enumeration_type.identifier
)
(
new_declarations,
new_definitions,
) = self._generate_enumeration_codec_and_to_string_functions(
all_msg_types_enumeration_type, msg_type_enumeration_types
)
declarations += new_declarations
definitions += new_definitions
# Arrays
(
new_declarations,
new_definitions,
) = self._generate_array_codec_and_to_string_functions()
declarations += new_declarations
definitions += new_definitions
return declarations, definitions
def _generate_record_codec_and_to_string_functions(self):
"""Generate codecs and to_string functions for all record data types."""
declarations = ""
definitions = ""
for record in self.record_types:
(
new_declarations,
new_definitions,
) = record.generate_codecs_and_support_functions()
declarations += new_declarations
definitions += new_definitions
return declarations, definitions
def _generate_array_codec_and_to_string_functions(self):
"""Generate codecs and to_string functions for all array data types."""
declarations = ""
definitions = """
-- Helper function to make tests pass GHDL v0.37
function get_encoded_length ( constant vec: string ) return integer is
begin return vec'length; end;
"""
for array in self.array_types:
(
new_declarations,
new_definitions,
) = array.generate_codecs_and_support_functions()
declarations += new_declarations
definitions += new_definitions
return declarations, definitions
def _create_enumeration_of_all_msg_types(self):
"""Create an enumeration type containing all valid message types. These message types are collected from
records with a msg_type element which has an enumerated data type."""
msg_type_enumeration_types = []
for record in self.record_types:
if record.elements[0].identifier_list[0] == "msg_type":
msg_type_enumeration_types.append(
record.elements[0].subtype_indication.code
)
msg_type_enumeration_literals = []
for enum in self.enumeration_types:
if enum.identifier in msg_type_enumeration_types:
for literal in enum.literals:
if literal in msg_type_enumeration_literals:
raise RuntimeError(
"Different msg_type enumerations may not have the same literals"
)
msg_type_enumeration_literals.append(literal)
if msg_type_enumeration_literals:
all_msg_types_enumeration_type = CodecVHDLEnumerationType(
self.identifier + "_msg_type_t", msg_type_enumeration_literals
)
else:
all_msg_types_enumeration_type = None
return all_msg_types_enumeration_type, msg_type_enumeration_types
def _generate_enumeration_codec_and_to_string_functions(
self, all_msg_types_enumeration_type, msg_type_enumeration_types
):
"""Generate codecs and to_string functions for all enumeration data types."""
declarations = ""
definitions = ""
enumeration_offset = 0
for enum in self.enumeration_types + (
[all_msg_types_enumeration_type]
if all_msg_types_enumeration_type is not None
else []
):
if enum.identifier in msg_type_enumeration_types:
offset = enumeration_offset
enumeration_offset += len(enum.literals)
else:
offset = 0
(
new_declarations,
new_definitions,
) = enum.generate_codecs_and_support_functions(offset)
declarations += new_declarations
definitions += new_definitions
return declarations, definitions
def _generate_msg_type_encoders(self): # pylint: disable=too-many-locals
"""Generate message type encoders for records with the initial element = msg_type. An encoder is
generated for each value of the enumeration data type for msg_type. For example, if the record
has two message types, read and write, and two other fields, addr and data, then two encoders,
read(addr, data) and write(addr, data) will be generated. These are shorthands for
encode((<read or write>, addr, data))"""
declarations = ""
definitions = ""
enumeration_types = {}
for enum in self.enumeration_types:
enumeration_types[enum.identifier] = enum.literals
msg_type_record_types = self._get_records_with_an_initial_msg_type_element()
for record in msg_type_record_types:
msg_type_values = enumeration_types.get(
record.elements[0].subtype_indication.type_mark
)
if msg_type_values is None:
continue
for value in msg_type_values:
parameter_list = []
parameter_type_list = []
encoding_list = []
for element in record.elements:
for identifier in element.identifier_list:
if identifier != "msg_type":
parameter_list.append(
" constant %s : %s"
% (identifier, element.subtype_indication.code)
)
parameter_type_list.append(
element.subtype_indication.type_mark
)
encoding_list.append("encode(%s)" % identifier)
else:
encoding_list.append(
"encode(%s'(%s))"
% (element.subtype_indication.code, value)
)
if parameter_list == []:
parameter_part = ""
alias_signature = value + "[return string];"
else:
parameter_part = " (\n" + ";\n".join(parameter_list) + ")"
alias_signature = (
value
+ "["
+ ", ".join(parameter_type_list)
+ " return string];"
)
encodings = " & ".join(encoding_list)
declarations += self._template.msg_type_record_codec_declaration.substitute(
name=value,
parameter_part=parameter_part,
alias_signature=alias_signature,
alias_name=value + "_msg",
)
definitions += self._template.msg_type_record_codec_definition.substitute(
name=value,
parameter_part=parameter_part,
num_of_encodings=len(encoding_list),
encodings=encodings,
)
return declarations, definitions
def _generate_get_functions(self):
"""Generate a get function which will return the message type for records"""
declarations = ""
definitions = ""
msg_type_record_types = self._get_records_with_an_initial_msg_type_element()
msg_type_types = []
for record in msg_type_record_types:
msg_type_type = record.elements[0].subtype_indication.code
if msg_type_type not in msg_type_types:
msg_type_types.append(msg_type_type)
declarations += self._template.get_specific_msg_type_declaration.substitute(
type=msg_type_type
)
definitions += self._template.get_specific_msg_type_definition.substitute(
type=msg_type_type
)
return declarations, definitions
def _get_records_with_an_initial_msg_type_element(self):
"""Find all record types starting with a msg_type element"""
msg_type_record_types = []
for record in self.record_types:
if record.elements[0].identifier_list[0] == "msg_type":
msg_type_record_types.append(record)
return msg_type_record_types
class PackageCodecTemplate(object):
"""This class contains package codec templates."""
msg_type_record_codec_declaration = Template(
"""\
function $name$parameter_part
return string;
alias $alias_name is $alias_signature
"""
)
get_specific_msg_type_declaration = Template(
"""\
function get_$type (
constant code : string)
return $type;
"""
)
all_msg_types_enumeration_type_declaration = Template(
"""\
type $identifier is ($literals);
"""
)
get_msg_type_declaration = Template(
"""\
function get_msg_type (
constant code : string)
return $type;
"""
)
msg_type_record_codec_definition = Template(
"""\
function $name$parameter_part
return string is
begin
return $encodings;
end function $name;
"""
)
get_specific_msg_type_definition = Template(
"""\
function get_$type (
constant code : string)
return $type is
begin
return decode(code);
end;
"""
)
get_msg_type_definition = Template(
"""\
function get_msg_type (
constant code : string)
return $type is
begin
return decode(code);
end;
"""
)
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pyga/candidate_factory/bit_string.py | Eyjafjallajokull/pyga | 0 | 141669 | from .candidate_factory import CandidateFactory
from ..candidate import Candidate
class BitStringFactory(CandidateFactory):
"""
Generates candidates with data represented by fixed-length binary strings.
:param random: Random number generator
:param size: int length of strings to generate
"""
def __init__(self, random, size):
super().__init__(random)
self.size = size
def create_candidate(self):
"""
Creates Candidate instance and randomly generates its bit string data.
:return: Candidate
"""
candidate = Candidate()
candidate.data = ''.join([str(round(self.random.float())) for _ in range(self.size)])
return candidate
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13,
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736,
14020,
13,
2
] |
src/WatchDbg/core/watch.py | Tekiter/WatchDBG-IDA | 42 | 181990 | from WatchDbg.common import EventHandler
NEXT_ID = 0
def get_next_id():
global NEXT_ID
ret = NEXT_ID
NEXT_ID += 1
return ret
class WatchListItem():
nextid = 0
def __init__(self, address, wtype):
self.address = address
self.type = wtype
self.name = ""
self._id = get_next_id()
@property
def id(self):
return self._id
class WatchList:
def __init__(self):
self._watches = []
self.on_change = EventHandler()
def __iter__(self):
return iter(self._watches)
def __len__(self):
return len(self._watches)
def add(self, address, name, type):
item = WatchListItem(address, type)
item.name = name
self._watches.append(item)
self.on_change.notify()
return item.id
def clear(self):
self._watches = []
self.on_change.notify()
def exists(self, address):
i = self._indexByAddress(address)
return i != None
def delete(self, address):
i = self._indexByAddress(address)
if i != None:
item = self._watches.pop(i)
self.on_change.notify()
return item
return None
def get(self, address):
idx = self._indexByAddress(address)
if idx != None:
return self._watches[idx]
return None
def _indexByAddress(self, address):
for idx, watch in enumerate(self._watches):
if watch.address == address:
return idx
return None
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renishawWiRE/wdfReader.py | lovaulonze/py-wdf-reader | 3 | 123398 | # Renishaw wdf Raman spectroscopy file reader
# Code inspired by Henderson, Alex DOI:10.5281/zenodo.495477
from __future__ import print_function
import struct
import numpy
import io
from .types import LenType, DataType, MeasurementType
from .types import ScanType, UnitType, DataType
from .types import Offsets, ExifTags
from .utils import convert_wl, convert_attr_name
from sys import stderr
try:
import PIL
from PIL import Image
from PIL.TiffImagePlugin import IFDRational
except ImportError:
PIL = None
class WDFReader(object):
"""Reader for Renishaw(TM) WiRE Raman spectroscopy files (.wdf format)
The wdf file format is separated into several DataBlocks, with starting 4-char
strings such as (incomplete list):
`WDF1`: File header for information
`DATA`: Spectra data
`XLST`: Data for X-axis of data, usually the Raman shift or wavelength
`YLST`: Data for Y-axis of data, possibly not important
`WMAP`: Information for mapping, e.g. StreamLine or StreamLineHR mapping
`MAP `: Mapping information(?)
`ORGN`: Data for stage origin
`TEXT`: Annotation text etc
`WXDA`: ? TODO
`WXDM`: ? TODO
`ZLDC`: ? TODO
`BKXL`: ? TODO
`WXCS`: ? TODO
`WXIS`: ? TODO
`WHTL`: Whilte light image
Following the block name, there are two indicators:
Block uid: int32
Block size: int64
Args:
file_name (file) : File object for the wdf file
Attributes:
title (str) : Title of measurement
username (str) : Username
application_name (str) : Default WiRE
application_version (int,) * 4 : Version number, e.g. [4, 4, 0, 6602]
measurement_type (int) : Type of measurement
0=unknown, 1=single, 2=multi, 3=mapping
scan_type (int) : Scan of type, see values in scan_types
laser_wavenumber (float32) : Wavenumber in cm^-1
count (int) : Numbers of experiments (same type), can be smaller than capacity
spectral_units (int) : Unit of spectra, see unit_types
xlist_type (int) : See unit_types
xlist_unit (int) : See unit_types
xlist_length (int): Size for the xlist
xdata (numpy.array): x-axis data
ylist_type (int): Same as xlist_type
ylist_unit (int): Same as xlist_unit
ylist_length (int): Same as xlist_length
ydata (numpy.array): y-data, possibly not used
point_per_spectrum (int): Should be identical to xlist_length
data_origin_count (int) : Number of rows in data origin list
capacity (int) : Max number of spectra
accumulation_count (int) : Single or multiple measurements
block_info (dict) : Info block at least with following keys
DATA, XLST, YLST, ORGN
# TODO types?
"""
def __init__(self, file_name, debug=False):
try:
self.file_obj = open(str(file_name), "rb")
except IOError:
raise IOError("File {0} does noe exist!".format(file_name))
# Initialize the properties for the wdfReader class
self.title = ""
self.username = ""
self.measurement_type = None
self.scan_type = None
self.laser_length = None
self.count = None
self.spectral_unit = None
self.xlist_type = None
self.xlist_unit = None
self.ylist_type = None
self.ylist_unit = None
self.point_per_spectrum = None
self.data_origin_count = None
self.capacity = None
self.application_name = ""
self.application_version = [None]*4
self.xlist_length = 0
self.ylist_length = 0
self.accumulation_count = None
self.block_info = {} # each key has value (uid, offset, size)
self.is_completed = False
self.debug = debug
# Parse the header section in the wdf file
self.__locate_all_blocks()
# Parse individual blocks
self.__treat_block_data("WDF1")
self.__treat_block_data("DATA")
self.__treat_block_data("XLST")
self.__treat_block_data("YLST")
self.__treat_block_data("ORGN")
self.__treat_block_data("WMAP")
self.__treat_block_data("WHTL")
# Reshape spectra after reading mapping information
self.__reshape_spectra()
# self._parse_wmap()
# Finally print the information
if self.debug:
print(("File Metadata").center(80, "="),
file=stderr)
self.print_info(file=stderr)
print("=" * 80, file=stderr)
def close(self):
self.file_obj.close()
if hasattr(self, "img"):
self.img.close()
def __get_type_string(self, attr, data_type):
"""Get the enumerated-data_type as string
"""
val = getattr(self, attr) # No error checking
if data_type is None:
return val
else:
return data_type(val).name
def __read_type(self, type, size=1):
""" Unpack struct data for certain type
"""
if type in ["int16", "int32", "int64", "float", "double"]:
if size > 1:
raise NotImplementedError(
"Does not support read number type with size >1")
# unpack into unsigned values
fmt_out = LenType["s_" + type].value
fmt_in = LenType["l_" + type].value
return struct.unpack(fmt_out, self.file_obj.read(fmt_in * size))[0]
elif type == "utf8":
# Read utf8 string with determined size block
return self.file_obj.read(size).decode("utf8").replace("\x00", "")
else:
raise ValueError("Unknown data length format!")
def __locate_single_block(self, pos):
"""Get block information starting at pos
"""
self.file_obj.seek(pos)
block_name = self.file_obj.read(0x4).decode("ascii")
if len(block_name) < 4:
raise EOFError
block_uid = self.__read_type("int32")
block_size = self.__read_type("int64")
return block_name, block_uid, block_size
def __locate_all_blocks(self):
"""Get information for all data blocks and store them inside self.block_info
"""
curpos = 0
finished = False
while not finished:
try:
block_name, block_uid, block_size = self.__locate_single_block(
curpos)
self.block_info[block_name] = (block_uid, curpos, block_size)
curpos += block_size
except (EOFError, UnicodeDecodeError):
finished = True
def __treat_block_data(self, block_name):
"""Get data according to specific block name
"""
if block_name not in self.block_info.keys():
if self.debug:
print("Block name {0} not present in current measurement".
format(block_name), file=stderr)
return
# parse individual blocks with names
actions = {
"WDF1": ("_parse_header", ()),
"DATA": ("_parse_spectra", ()),
"XLST": ("_parse_xylist", ("X")),
"YLST": ("_parse_xylist", ("Y")),
"ORGN": ("_parse_orgin_list", ()),
"WMAP": ("_parse_wmap", ()),
"WHTL": ("_parse_img", ()),
}
func_name, val = actions[block_name]
getattr(self, func_name)(*val)
# The method for reading the info in the file header
def _parse_header(self):
"""Solve block WDF1
"""
self.file_obj.seek(0) # return to the head
# Must make the conversion under python3
block_ID = self.file_obj.read(Offsets.block_id).decode("ascii")
block_UID = self.__read_type("int32")
block_len = self.__read_type("int64")
# First block must be "WDF1"
if (block_ID != "WDF1") \
or (block_UID != 0 and block_UID != 1) \
or (block_len != Offsets.data_block):
raise ValueError("The wdf file format is incorrect!")
# TODO what are the digits in between?
# The keys from the header
self.file_obj.seek(Offsets.measurement_info) # space
self.point_per_spectrum = self.__read_type("int32")
self.capacity = self.__read_type("int64")
self.count = self.__read_type("int64")
# If count < capacity, this measurement is not completed
self.is_completed = (self.count == self.capacity)
self.accumulation_count = self.__read_type("int32")
self.ylist_length = self.__read_type("int32")
self.xlist_length = self.__read_type("int32")
self.data_origin_count = self.__read_type("int32")
self.application_name = self.__read_type("utf8", 24) # Must be "WiRE"
for i in range(4):
self.application_version[i] = self.__read_type("int16")
self.scan_type = ScanType(self.__read_type("int32"))
self.measurement_type = MeasurementType(self.__read_type("int32"))
# For the units
self.file_obj.seek(Offsets.spectral_info)
self.spectral_unit = UnitType(self.__read_type("int32"))
self.laser_length = convert_wl(self.__read_type("float")) # in nm
# Username and title
self.file_obj.seek(Offsets.file_info)
self.username = self.__read_type("utf8",
Offsets.usr_name -
Offsets.file_info)
self.title = self.__read_type("utf8",
Offsets.data_block -
Offsets.usr_name)
def _parse_xylist(self, dir):
"""Get information from XLST or YLST blocks
"""
if not dir.upper() in ["X", "Y"]:
raise ValueError("Direction argument `dir` must be X or Y!")
name = dir.upper() + "LST"
uid, pos, size = self.block_info[name]
offset = Offsets.block_data
self.file_obj.seek(pos + offset)
setattr(self, "{0}list_type".format(dir.lower()),
DataType(self.__read_type("int32")))
setattr(self, "{0}list_unit".format(dir.lower()),
UnitType(self.__read_type("int32")))
size = getattr(self, "{0}list_length".format(dir.lower()))
if size == 0: # Possibly not started
raise ValueError("{0}-List possibly not initialized!".
format(dir.upper()))
# self.file_obj.seek(pos + offset)
data = numpy.fromfile(self.file_obj, dtype="float32", count=size)
setattr(self, "{0}data".format(dir.lower()), data)
return
def _parse_spectra(self, start=0, end=-1):
"""Get information from DATA block
"""
if end == -1: # take all spectra
end = self.count - 1
if (start not in range(self.count)) or (end not in range(self.count)):
raise ValueError("Wrong start and end indices of spectra!")
if start > end:
raise ValueError("Start cannot be larger than end!")
# Determine start position
uid, pos, size = self.block_info["DATA"]
pos_start = pos + Offsets.block_data + LenType["l_float"].value * \
start * self.point_per_spectrum
n_row = end - start + 1
self.file_obj.seek(pos_start)
spectra_data = numpy.fromfile(
self.file_obj, dtype="float32",
count=n_row * self.point_per_spectrum)
# if len(spectra_data.shape) > 1:
# The spectra is only 1D array
# spectra_data = spectra_data.reshape(
# n_row, spectra_data.size // n_row)
self.spectra = spectra_data
return
def _parse_orgin_list(self):
"""Get information from OriginList
Set the following attributes:
`self.origin_list_header`: 2D-array
`self.origin_list`: origin list
"""
# First confirm origin list type
uid, pos, size = self.block_info["ORGN"]
self.origin_list_header = [[None, ] * 5
for i in range(self.data_origin_count)]
# All possible to have x y and z positions!
self.xpos = numpy.zeros(self.count)
self.ypos = numpy.zeros(self.count)
self.zpos = numpy.zeros(self.count)
list_increment = Offsets.origin_increment + \
LenType.l_double.value * self.capacity
curpos = pos + Offsets.origin_info
for i in range(self.data_origin_count):
self.file_obj.seek(curpos)
p1 = self.__read_type("int32")
p2 = self.__read_type("int32")
s = self.__read_type("utf8", 0x10)
# First index: is the list x, or y pos?
self.origin_list_header[i][0] = (p1 >> 31 & 0b1) == 1
# Second: Data type of the row
self.origin_list_header[i][1] = DataType(p1 & ~(0b1 << 31))
# Third: Unit
self.origin_list_header[i][2] = UnitType(p2)
# Fourth: annotation
self.origin_list_header[i][3] = s
# Last: the actual data
# array = numpy.empty(self.count)
# Time appears to be recorded as int64 in 100 nanosecond intervals
# Possibly using the .NET DateTime epoch
# Reference does not appear to be Unix Epoch time
# Set time[0] = 0 until timestamp reference can be determined
# Resulting array will have unit of `FileTime` in seconds
if self.origin_list_header[i][1] == DataType.Time:
array = numpy.array([self.__read_type("int64")
for i in range(self.count)]) / 1e7
array = array - array[0]
else:
array = numpy.array([self.__read_type("double")
for i in range(self.count)])
self.origin_list_header[i][4] = array
# Set self.xpos or self.ypos
if self.origin_list_header[i][1] == DataType.Spatial_X:
self.xpos = array
self.xpos_unit = self.origin_list_header[i][2]
elif self.origin_list_header[i][1] == DataType.Spatial_Y:
self.ypos = array
self.ypos_unit = self.origin_list_header[i][2]
elif self.origin_list_header[i][1] == DataType.Spatial_Z:
self.zpos = array
self.zpos_unit = self.origin_list_header[i][2]
else:
pass
curpos += list_increment
def _parse_wmap(self):
"""Get information about mapping in StreamLine and StreamLineHR
"""
try:
uid, pos, size = self.block_info["WMAP"]
except KeyError:
if self.debug:
print(("Current measurement does not"
" contain mapping information!"),
file=stderr)
return
self.file_obj.seek(pos + Offsets.wmap_origin)
x_start = self.__read_type("float")
if not numpy.isclose(x_start, self.xpos[0], rtol=1e-4):
raise ValueError("WMAP Xpos is not same as in ORGN!")
y_start = self.__read_type("float")
if not numpy.isclose(y_start, self.ypos[0], rtol=1e-4):
raise ValueError("WMAP Ypos is not same as in ORGN!")
unknown1 = self.__read_type("float")
x_pad = self.__read_type("float")
y_pad = self.__read_type("float")
unknown2 = self.__read_type("float")
spectra_w = self.__read_type("int32")
spectra_h = self.__read_type("int32")
# Determine if the xy-grid spacing is same as in x_pad and y_pad
if (len(self.xpos) > 1) and (len(self.ypos) > 1):
xdist = numpy.abs(self.xpos - self.xpos[0])
ydist = numpy.abs(self.ypos - self.ypos[0])
xdist = xdist[numpy.nonzero(xdist)]
ydist = ydist[numpy.nonzero(ydist)]
# Get minimal non-zero padding in the grid
try:
x_pad_grid = numpy.min(xdist)
except ValueError:
x_pad_grid = 0
try:
y_pad_grid = numpy.min(ydist)
except ValueError:
y_pad_grid = 0
self.map_shape = (spectra_w, spectra_h)
self.map_info = dict(x_start=x_start,
y_start=y_start,
x_pad=x_pad,
y_pad=y_pad,
x_span=spectra_w * x_pad,
y_span=spectra_h * y_pad,
x_unit=self.xpos_unit,
y_unit=self.ypos_unit)
def _parse_img(self):
"""Extract the white-light JPEG image
The size of while-light image is coded in its EXIF
Use PIL to parse the EXIF information
"""
try:
uid, pos, size = self.block_info["WHTL"]
except KeyError:
if self.debug:
print("The wdf file does not contain an image",
file=stderr)
return
# Read the bytes. `self.img` is a wrapped IO object mimicking a file
self.file_obj.seek(pos + Offsets.jpeg_header)
img_bytes = self.file_obj.read(size - Offsets.jpeg_header)
self.img = io.BytesIO(img_bytes)
# Handle image dimension if PIL is present
if PIL is not None:
pil_img = Image.open(self.img)
# Weird missing header keys when Pillow >= 8.2.0.
# see https://pillow.readthedocs.io/en/stable/releasenotes/8.2.0.html#image-getexif-exif-and-gps-ifd
# Use fall-back _getexif method instead
exif_header = dict(pil_img._getexif())
try:
# Get the width and height of image
w_ = exif_header[ExifTags.FocalPlaneXResolution]
h_ = exif_header[ExifTags.FocalPlaneYResolution]
x_org_, y_org_ = exif_header[ExifTags.FocalPlaneXYOrigins]
def rational2float(v):
""" Pillow<7.2.0 returns tuple, Pillow>=7.2.0 returns IFDRational """
if not isinstance(v, IFDRational):
return v[0] / v[1]
return float(v)
w_, h_ = rational2float(w_), rational2float(h_)
x_org_, y_org_ = rational2float(x_org_), rational2float(y_org_)
# The dimensions (width, height)
# with unit `img_dimension_unit`
self.img_dimensions = numpy.array([w_,
h_])
# Origin of image is at upper right corner
self.img_origins = numpy.array([x_org_,
y_org_])
# Default is microns (5)
self.img_dimension_unit = UnitType(
exif_header[ExifTags.FocalPlaneResolutionUnit])
# Give the box for cropping
# Following the PIL manual
# (left, upper, right, lower)
self.img_cropbox = self.__calc_crop_box()
except KeyError:
if self.debug:
print(("Some keys in white light image header"
" cannot be read!"),
file=stderr)
return
def __calc_crop_box(self):
"""Helper function to calculate crop box
"""
def _proportion(x, minmax, pixels):
"""Get proportional pixels"""
min, max = minmax
return int(pixels * (x - min) / (max - min))
pil_img = PIL.Image.open(self.img)
w_, h_ = self.img_dimensions
x0_, y0_ = self.img_origins
pw = pil_img.width
ph = pil_img.height
map_xl = self.xpos.min()
map_xr = self.xpos.max()
map_yt = self.ypos.min()
map_yb = self.ypos.max()
left = _proportion(map_xl, (x0_, x0_ + w_), pw)
right = _proportion(map_xr, (x0_, x0_ + w_), pw)
top = _proportion(map_yt, (y0_, y0_ + h_), ph)
bottom = _proportion(map_yb, (y0_, y0_ + h_), ph)
return (left, top, right, bottom)
def __reshape_spectra(self):
"""Reshape spectra into w * h * self.point_per_spectrum
"""
if not self.is_completed:
if self.debug:
print(("The measurement is not completed, "
"will try to reshape spectra into count * pps."),
file=stderr)
try:
self.spectra = numpy.reshape(self.spectra,
(self.count,
self.point_per_spectrum))
except ValueError:
if self.debug:
print("Reshaping spectra array failed. Please check.",
file=stderr)
return
elif hasattr(self, "map_shape"):
# Is a mapping
spectra_w, spectra_h = self.map_shape
if spectra_w * spectra_h != self.count:
if self.debug:
print(("Mapping information from WMAP not"
" corresponding to ORGN! "
"Will not reshape the spectra"),
file=stderr)
return
elif spectra_w * spectra_h * self.point_per_spectrum \
!= len(self.spectra):
if self.debug:
print(("Mapping information from WMAP"
" not corresponding to DATA! "
"Will not reshape the spectra"),
file=stderr)
return
else:
# Should be h rows * w columns. numpy.ndarray is row first
# Reshape to 3D matrix when doing 2D mapping
if (spectra_h > 1) and (spectra_w > 1):
self.spectra = numpy.reshape(self.spectra,
(spectra_h, spectra_w,
self.point_per_spectrum))
# otherwise it is a line scan
else:
self.spectra = numpy.reshape(self.spectra,
(self.count,
self.point_per_spectrum))
# For any other type of measurement, reshape into (counts, point_per_spectrum)
# example: series scan
elif self.count > 1:
self.spectra = numpy.reshape(self.spectra,
(self.count,
self.point_per_spectrum))
else:
return
def print_info(self, **params):
"""Print information of the wdf file
"""
s = []
s.append(u"{0:>24s}:\t{1}".format("Title", self.title))
s.append(u"{0:>17s} version:\t{1}.{2}.{3}.{4}".
format(self.application_name,
*self.application_version))
s.append(u"{0:>24s}:\t{1} nm".format("Laser Wavelength",
self.laser_length))
for a in ("count", "capacity", "point_per_spectrum",
"scan_type", "measurement_type",
"spectral_unit",
"xlist_unit", "xlist_length",
"ylist_unit", "ylist_length",
"xpos_unit", "ypos_unit"):
sname = convert_attr_name(a)
# Use explicit string conversion to replace
try:
val = str(getattr(self, a))
except AttributeError:
continue
s.append("{0:>24s}:\t{1}".format(sname, val))
text = u"\n".join(s)
print(text, **params)
if __name__ == '__main__':
raise NotImplementedError("Please dont run this module as a script!")
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meiduo_mall/apps/orders/urls.py | MarioKarting/Django_meiduo_project | 0 | 19716 | # !/usr/bin/env python
# _*_ coding:utf-8 _*_
from django.conf.urls import url
from . import views
urlpatterns = [
# 1. 结算订单 orders/settlement/
url(r'^orders/settlement/$', views.OrdersSettlementView.as_view(), name='settlement'),
# 2. orders/commit/ 提交订单
url(r'^orders/commit/$', views.OrdersCommitView.as_view(), name='commit'),
# 3. 订单成功 -- orders/success/
url(r'^orders/success/$', views.OrdersSuccessView.as_view(), name='sucess'),
]
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MAX40080/src/torque_test_stand/src/torque_tester.py | MilosRasic98/Orbweaver-Rover | 1 | 36369 | <reponame>MilosRasic98/Orbweaver-Rover
#!/usr/bin/env python3
import rospy
import serial
from std_msgs.msg import Float32
tt_arduino = serial.Serial("/dev/ttyUSB0", 9600)
rospy.init_node('torque_test_stand', anonymous = False)
pub = rospy.Publisher('/test_equipment/measured_torque', Float32, queue_size=10)
r = rospy.Rate(10)
print('Torque Test Stand Node Started!')
while not rospy.is_shutdown():
raw_data = str(tt_arduino.readline())
extracted_data = raw_data[2:raw_data.find('\\r')]
converted_data = float(extracted_data)
pub.publish(converted_data)
r.sleep() | [
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solution/10828(스택).py | OMEGA-Y/Baekjoon-sol | 0 | 119204 | import sys
input = sys.stdin.readline
N = int(input())
stack = []
for _ in range(N):
data = list(input().strip().split())
if data[0] == 'push':
stack.append(data[1])
elif data[0] == 'top':
if stack:
print(stack[-1])
else:
print(-1)
elif data[0] == 'size':
print(len(stack))
elif data[0] == 'pop':
if stack:
m = stack.pop()
print(m)
else:
print(-1)
else:
if stack:
print(0)
else:
print(1) | [
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] |
tests/framework/test_bmi_var_units.py | mwtoews/pymt | 38 | 173649 | <gh_stars>10-100
import pytest
import numpy as np
from gimli import IncompatibleUnitsError, UnitNameError
from numpy.testing import assert_array_equal
from pymt.framework.bmi_bridge import BmiTimeInterpolator, GridMapperMixIn, _BmiCap
class SimpleBmi:
def get_output_var_names(self):
return ("elevation",)
def get_var_grid(self, name):
return 0
def get_var_units(self, name):
return "m"
def get_var_type(self, name):
return "float"
def get_var_location(self, name):
return "node"
def get_var_nbytes(self, name):
return self.get_var_itemsize(name) * 4
def get_var_itemsize(self, name):
return np.dtype("float").itemsize
def get_value(self, name, out):
out[:] = [1, 2, 3, 4]
def get_grid_node_count(self, grid):
return 4
class Bmi(GridMapperMixIn, _BmiCap, BmiTimeInterpolator):
_cls = SimpleBmi
def test_value_wrap():
"""Test wrapping BMI time methods."""
bmi = Bmi()
assert bmi.var_units("elevation") == "m"
assert_array_equal(bmi.get_value("elevation"), [1, 2, 3, 4])
def test_unit_conversion():
"""Test wrapping BMI time methods."""
bmi = Bmi()
assert_array_equal(bmi.get_value("elevation", units=None), [1.0, 2.0, 3.0, 4.0])
assert_array_equal(bmi.get_value("elevation", units="m"), [1.0, 2.0, 3.0, 4.0])
assert_array_equal(
bmi.get_value("elevation", units="km"), [0.001, 0.002, 0.003, 0.004]
)
assert_array_equal(
bmi.get_value("elevation", units="m2 km-1"), [1000.0, 2000.0, 3000.0, 4000.0]
)
def test_incompatible_units():
"""Test wrapping BMI time methods."""
bmi = Bmi()
with pytest.raises(IncompatibleUnitsError):
bmi.get_value("elevation", units="kg")
def test_bad_units():
"""Test wrapping BMI time methods."""
bmi = Bmi()
with pytest.raises(UnitNameError):
bmi.get_value("elevation", units="not_real_units")
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] |
api_blog/serializers.py | poya-kob/BiaBegard | 0 | 52571 | from rest_framework.serializers import HyperlinkedModelSerializer, ModelSerializer
from rest_framework import serializers
from .models import Blog, BlogCategory, Comments
class CategorySerializer(ModelSerializer):
class Meta:
model = BlogCategory
exclude = ['id']
class BlogListSerializer(HyperlinkedModelSerializer):
category = CategorySerializer()
class Meta:
model = Blog
exclude = ['active', 'text']
class CommentsSerializer(HyperlinkedModelSerializer):
user = serializers.StringRelatedField()
# blog = serializers.StringRelatedField()
class Meta:
model = Comments
fields = "__all__"
class BlogDetailSerializer(ModelSerializer):
comment = CommentsSerializer(many=True)
class Meta:
model = Blog
exclude = ['active', 'category']
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525,
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2
] |
tesseract.py | Swarnava-Sadhukhan/Vehicle-Reg.-Details-using-Number-Plate | 0 | 166638 | from PIL import Image
import pytesseract
pytesseract.pytesseract.tesseract_cmd = r"C:\Program Files\Tesseract-OCR\tesseract.exe"
image = Image.open(your_image)
image_to_text = pytesseract.image_to_string(image, lang='eng')
print(image_to_text)
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] |
test.py | Mrphase/transformer | 0 | 86945 | # -*- coding: utf-8 -*-
#/usr/bin/python2
'''
Feb. 2019 by <NAME>.
<EMAIL>.
https://www.github.com/kyubyong/transformer
Inference
'''
import os
os.environ["CUDA_VISIBLE_DEVICES"] = "-1" # 这一行注释掉就是使用cpu，不注释就是使用gpu
import tensorflow as tf
from data_load import get_batch
from model import Transformer
from hparams import Hparams
from utils import get_hypotheses, calc_bleu, postprocess, load_hparams
import logging
logging.basicConfig(level=logging.INFO)
logging.info("# hparams")
hparams = Hparams()
parser = hparams.parser
hp = parser.parse_args()
load_hparams(hp, hp.ckpt)
logging.info("# Prepare test batches")
test_batches, num_test_batches, num_test_samples = get_batch(hp.test1, hp.test1,
1000, 1000,
hp.vocab, hp.test_batch_size,
shuffle=False)
iter = tf.data.Iterator.from_structure(test_batches.output_types, test_batches.output_shapes)
xs, ys = iter.get_next()
test_init_op = iter.make_initializer(test_batches)
logging.info("# Load model")
m = Transformer(hp)
y_hat, _ = m.eval(xs, ys)
logging.info("# Session")
#config = tf.ConfigProto(log_device_placement=True, allow_soft_placement=True)
with tf.Session() as sess:
ckpt_ = tf.train.latest_checkpoint(hp.ckpt)
ckpt = hp.ckpt if ckpt_ is None else ckpt_ # None: ckpt is a file. otherwise dir.
saver = tf.train.Saver()
# saver.restore(sess, ckpt) # 有问题？？？？？？？
sess.run(test_init_op)
logging.info("# get hypotheses")
hypotheses = get_hypotheses(num_test_batches, num_test_samples, sess, y_hat, m.idx2token)
logging.info("# write results")
model_output = ckpt.split("/")[-1]
if not os.path.exists(hp.testdir): os.makedirs(hp.testdir)
translation = os.path.join(hp.testdir, model_output)
with open(translation, 'w',encoding='UTF-8') as fout:
fout.write("\n".join(hypotheses))
calc_bleu(hp.test2, translation)
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xcx_interface/route/menu_r.py | linjingheng-dev/python_service | 8 | 55635 | from django.urls import path
from xcx_interface.controller.menu.menu_msg import getMenuList
urlpatterns = [
# 获取菜单列表
path('getMenuList', getMenuList, name='getMenuList')
]
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config.py | mpsiva89/protean | 0 | 83918 | <gh_stars>0
import os
from protean.utils import (
CommandProcessing,
EventProcessing,
IdentityStrategy,
IdentityType,
)
class Config:
DEBUG = True
# Parse domain directory and autoload domain modules
AUTOLOAD_DOMAIN = True
# A secret key for this particular Protean installation. Used in secret-key
# hashing algorithms.
SECRET_KEY = os.environ.get(
"SECRET_KEY",
"secret-key-that-is-not-so-secret",
)
# Flag indicates that we are testing
TESTING = False
# Database Configuration
DATABASES = {
"default": {"PROVIDER": "protean.adapters.repository.memory.MemoryProvider"},
"postgresql": {
"PROVIDER": "protean.adapters.repository.sqlalchemy.SAProvider",
"DATABASE_URI": os.getenv(
"DATABASE_URL",
"postgresql://postgres:postgres@localhost:5432/postgres",
),
"SCHEMA": os.getenv("POSTGRES_SCHEMA", "public"),
},
"sqlite": {
"PROVIDER": "protean.adapters.repository.sqlalchemy.SAProvider",
"DATABASE_URI": "sqlite:///test.db",
},
"elasticsearch": {
"PROVIDER": "protean.adapters.repository.elasticsearch.ESProvider",
"DATABASE_URI": {"hosts": os.getenv("ES_URI", "localhost").split(",")},
"USE_SSL": os.environ.get("ES_USE_SSL", "false").lower() == "true",
"VERIFY_CERTS": (
os.environ.get("ES_VERIFY_CERTS", "false").lower() == "true"
), # default false
"NAMESPACE_PREFIX": os.environ.get("ES_NAMESPACE_PREFIX", "dev"),
"SETTINGS": {},
},
}
EVENT_STORE = {
"PROVIDER": "protean.adapters.event_store.memory.MemoryEventStore",
}
# MessageDB EventStore Configuration
# EVENT_STORE = {
# "PROVIDER": "protean.adapters.event_store.message_db.MessageDBStore",
# "DATABASE_URI": "postgresql://message_store@localhost:5433/message_store",
# }
BROKERS = {
"default": {"PROVIDER": "protean.adapters.broker.memory_broker.MemoryBroker"},
"redis": {
"PROVIDER": "protean.adapters.broker.redis.RedisBroker",
"URI": f'{os.getenv("CACHE_URL","redis://127.0.0.1:6379")}/0',
"IS_ASYNC": True,
},
"celery": {
"PROVIDER": "protean.adapters.broker.celery.CeleryBroker",
"URI": os.environ.get("BROKER_URI") or "redis://127.0.0.1:6379/2",
"IS_ASYNC": (
os.environ.get("BROKER_IS_ASYNC", "True") in ["True", "true"]
), # True by default
},
}
CACHES = {
"default": {
"PROVIDER": "protean.adapters.cache.memory.MemoryCache",
"TTL": 300,
},
"redis": {
"PROVIDER": "protean.adapters.cache.redis.RedisCache",
"URI": f'{os.getenv("CACHE_URL","redis://127.0.0.1:6379")}/2',
"TTL": 300,
},
}
# Identity strategy to use when persisting Entities/Aggregates.
#
# Options:
#
# * IdentityStrategy.UUID: Default option, and preferred. Identity is a UUID and generated during `build` time.
# Persisted along with other details into the data store.
# * IdentityStrategy.DATABASE: Let the database generate unique identity during persistence
# * IdentityStrategy.FUNCTION: Special function that returns a unique identifier
IDENTITY_STRATEGY = IdentityStrategy.UUID.value
IDENTITY_TYPE = IdentityType.UUID.value
EVENT_PROCESSING = EventProcessing.ASYNC.value
COMMAND_PROCESSING = CommandProcessing.SYNC.value
LOGGING_CONFIG = {
"version": 1,
"disable_existing_loggers": False,
"formatters": {
"console": {
"format": "%(asctime)s %(name)-12s %(levelname)-8s %(message)s",
},
},
"handlers": {
"console": {
"level": "INFO",
"class": "logging.StreamHandler",
"formatter": "console",
},
},
"loggers": {
"protean": {"handlers": ["console"], "level": "INFO"},
},
}
class TestingConfig(Config):
TESTING = True
class DevelopmentConfig(Config):
pass
class ProductionConfig(Config):
DEBUG = False
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376,
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426,
13,
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376,
5563,
1115,
376,
11690,
613,
13,
18884,
376,
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1115,
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21681,
353,
7700,
13,
2
] |
prediction.py | NII-Kobayashi/Linear_Regression | 0 | 87098 | <reponame>NII-Kobayashi/Linear_Regression
# Author: <NAME>
#
# For license information, see LICENSE.txt
"""
Function for predicting the number of retweets in a future period
References
----------
.. *<NAME>, ICWSM, pp. 191-200, 2016; <NAME>, Communication of the ACM 53, pp.80-88, 2010; Zhao et al., KDD, pp. 1513-1522, 2015*.
"""
from functions import *
import math
def event_prediction(alpha, var, r_t):
"""
predict the total number of retweets
:param alpha: a parameter of linear regression (alpha)
:param var: a parameter of linear regression (variance)
:param r_t: the total number of tweet at the observation time
:return: predicted number of retweets
"""
if isinstance(alpha, float):
r_est = r_t * (math.exp(alpha + (var / 2.0)))
return r_est
else:
r_est = [r_t * (math.exp(alpha[i] + (var[i] / 2.0))) for i in range(len(alpha))]
return r_est
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runesanalyzer/data.py | clemsciences/runes-analyzer | 5 | 96840 | <reponame>clemsciences/runes-analyzer<filename>runesanalyzer/data.py
"""
Sources:
- Viking Language 1 by <NAME> 2013
Unicode: 16A0–16FF
Swedish runic inscriptions
http://runes.verbix.com/index.html
http://runes.verbix.com/vikingage/Uppland.html
"""
import json
from runesanalyzer.runes import RunicAlphabetName, Rune, Transcriber
__author__ = ["<NAME> <<EMAIL>>", ]
# ᚠ ᚢ ᚦ ᚨ ᚲ ᚱ ᚷ ᚹ ᚼ ᚾ ᛁ ᛃ ᛇ ᛈ ᛉ ᛊ ᛏ ᛒ ᛖ ᛗ ᛚ ᛜ ᛟ ᛞ
ELDER_FUTHARK = [
Rune(RunicAlphabetName.elder_futhark, "\u16A0", "f", "f", "fehu"),
Rune(RunicAlphabetName.elder_futhark, "\u16A2", "u", "u", "uruz"),
Rune(RunicAlphabetName.elder_futhark, "\u16A6", "θ", "þ", "þuriaz"),
Rune(RunicAlphabetName.elder_futhark, "\u16A8", "a", "a", "ansuz"),
Rune(RunicAlphabetName.elder_futhark, "\u16B1", "r", "r", "raido"),
Rune(RunicAlphabetName.elder_futhark, "\u16B2", "k", "k", "kaunan"),
Rune(RunicAlphabetName.elder_futhark, "\u16B7", "g", "g", "gyfu"),
Rune(RunicAlphabetName.elder_futhark, "\u16B9", "w", "w", "wynn"),
Rune(RunicAlphabetName.elder_futhark, "\u16BA", "h", "h", "haglaz"),
Rune(RunicAlphabetName.elder_futhark, "\u16BE", "n", "n", "naudiz"),
Rune(RunicAlphabetName.elder_futhark, "\u16C1", "i", "i", "isaz"),
Rune(RunicAlphabetName.elder_futhark, "\u16C3", "j", "j", "jeran"),
Rune(RunicAlphabetName.elder_futhark, "\u16C7", "æ", "E", "eiwaz"),
Rune(RunicAlphabetName.elder_futhark, "\u16C8", "p", "p", "peorð"),
Rune(RunicAlphabetName.elder_futhark, "\u16C9", "ʀ", "R", "algiz"),
Rune(RunicAlphabetName.elder_futhark, "\u16CA", "s", "s", "sowilo"),
Rune(RunicAlphabetName.elder_futhark, "\u16CF", "t", "t", "tiwaz"),
Rune(RunicAlphabetName.elder_futhark, "\u16D2", "b", "b", "berkanan"),
Rune(RunicAlphabetName.elder_futhark, "\u16D6", "e", "e", "ehwaz"),
Rune(RunicAlphabetName.elder_futhark, "\u16D7", "m", "m", "mannaz"),
Rune(RunicAlphabetName.elder_futhark, "\u16DA", "l", "l", "laguz"),
Rune(RunicAlphabetName.elder_futhark, "\u16DC", "ŋ", "ng", "ingwaz"),
Rune(RunicAlphabetName.elder_futhark, "\u16DF", "ø", "œ", "odal"),
Rune(RunicAlphabetName.elder_futhark, "\u16DE", "d", "d", "dagaz"),
]
# ᚠ ᚢ ᚦ ᚭ ᚱ ᚴ ᚼ ᚾ ᛁ ᛅ ᛋ ᛏ ᛒ ᛖ ᛘ ᛚ ᛦ
YOUNGER_FUTHARK = [
Rune(RunicAlphabetName.younger_futhark, "\u16A0", "f", "f", "fehu"),
Rune(RunicAlphabetName.younger_futhark, "\u16A2", "u", "u", "uruz"),
Rune(RunicAlphabetName.younger_futhark, "\u16A6", "θ", "þ", "þuriaz"),
Rune(RunicAlphabetName.younger_futhark, "\u16AD", "a", "a", "ansuz"),
Rune(RunicAlphabetName.younger_futhark, "\u16B1", "r", "r", "raido"),
Rune(RunicAlphabetName.younger_futhark, "\u16B4", "k", "k", "kaunan"),
Rune(RunicAlphabetName.younger_futhark, "\u16BC", "h", "h", "haglaz"),
Rune(RunicAlphabetName.younger_futhark, "\u16BE", "n", "n", "naudiz"),
Rune(RunicAlphabetName.younger_futhark, "\u16C1", "i", "i", "isaz"),
Rune(RunicAlphabetName.younger_futhark, "\u16C5", "a", "a", "jeran"),
Rune(RunicAlphabetName.younger_futhark, "\u16CB", "s", "s", "sowilo"),
Rune(RunicAlphabetName.younger_futhark, "\u16CF", "t", "t", "tiwaz"),
Rune(RunicAlphabetName.younger_futhark, "\u16D2", "b", "b", "berkanan"),
Rune(RunicAlphabetName.younger_futhark, "\u16D6", "e", "e", "ehwaz"),
Rune(RunicAlphabetName.younger_futhark, "\u16D8", "m", "m", "mannaz"), # also \u16D9
Rune(RunicAlphabetName.younger_futhark, "\u16DA", "l", "l", "laguz"),
Rune(RunicAlphabetName.younger_futhark, "\u16E6", "r", "R", "algiz")
]
# ᚠ ᚢ ᚦ ᚭ ᚱ ᚴ ᚽ ᚿ ᛁ ᛅ ᛌ ᛐ ᛓ ᛖ ᛙ ᛚ ᛧ
SHORT_TWIG_YOUNGER_FUTHARK = [
Rune(RunicAlphabetName.short_twig_younger_futhark, "\u16A0", "f", "f", "fehu"),
Rune(RunicAlphabetName.short_twig_younger_futhark, "\u16A2", "u", "u", "uruz"),
Rune(RunicAlphabetName.short_twig_younger_futhark, "\u16A6", "θ", "þ", "þuriaz"),
Rune(RunicAlphabetName.short_twig_younger_futhark, "\u16AD", "a", "a", "ansuz"),
Rune(RunicAlphabetName.short_twig_younger_futhark, "\u16B1", "r", "r", "raido"),
Rune(RunicAlphabetName.short_twig_younger_futhark, "\u16B4", "k", "k", "kaunan"),
Rune(RunicAlphabetName.short_twig_younger_futhark, "\u16BD", "h", "h", "haglaz"),
Rune(RunicAlphabetName.short_twig_younger_futhark, "\u16BF", "n", "n", "naudiz"),
Rune(RunicAlphabetName.short_twig_younger_futhark, "\u16C1", "i", "i", "isaz"),
Rune(RunicAlphabetName.short_twig_younger_futhark, "\u16C5", "a", "a", "jeran"), # not good
Rune(RunicAlphabetName.short_twig_younger_futhark, "\u16CC", "s", "s", "sowilo"),
Rune(RunicAlphabetName.short_twig_younger_futhark, "\u16D0", "t", "t", "tiwaz"),
Rune(RunicAlphabetName.short_twig_younger_futhark, "\u16D3", "b", "b", "berkanan"),
Rune(RunicAlphabetName.short_twig_younger_futhark, "\u16D6", "e", "e", "ehwaz"),
Rune(RunicAlphabetName.short_twig_younger_futhark, "\u16D9", "m", "m", "mannaz"), # also \u16D9
Rune(RunicAlphabetName.short_twig_younger_futhark, "\u16DA", "l", "l", "laguz"),
Rune(RunicAlphabetName.short_twig_younger_futhark, "\u16E7", "r", "R", "algiz"),
]
# https://fr.wikipedia.org/wiki/Petite_pierre_de_Jelling
little_jelling_stone = "᛬ᚴᚢᚱᛘᛦ᛬ᚴᚢᚾᚢᚴᛦ᛬ᚴ(ᛅᚱ)ᚦᛁ᛬ᚴᚢᛒᛚ᛬ᚦᚢᛋᛁ᛬ᛅ(ᚠᛏ)᛬ᚦᚢᚱᚢᛁ᛬ᚴᚢᚾᚢ᛬ᛋᛁᚾᛅ᛬ᛏᛅᚾᛘᛅᚱᚴᛅᛦ᛬ᛒᚢᛏ᛬"
big_jelling_stone = "ᚼᛅᚱᛅᛚᛏᚱ᛬ᚴᚢᚾᚢᚴᛦ᛬ᛒᛅᚦ᛬ᚴᛅᚢᚱᚢᛅ ᚴᚢᛒᛚ᛬ᚦᛅᚢᛋᛁ᛬ᛅᚠᛏ᛬ᚴᚢᚱᛘ ᚠᛅᚦᚢᚱ ᛋᛁᚾ ᛅᚢᚴ ᛅᚠᛏ᛬ᚦᚭᚢᚱᚢᛁ᛬ᛘᚢᚦᚢᚱ᛬ᛋᛁᚾᛅ᛬ᛋᛅ " \
"ᚼᛅᚱᛅᛚᛏᚱ(᛬)ᛁᛅᛋ᛬ᛋᚭᛦ᛫ᚢᛅᚾ᛫ᛏᛅᚾᛘᛅᚢᚱᚴ\nᛅᛚᛅ᛫ᛅᚢᚴ᛫ᚾᚢᚱᚢᛁᚴ\n᛫ᛅᚢᚴ᛫ᛏ(ᛅ)ᚾᛁ(᛫ᚴᛅᚱᚦᛁ᛫)ᚴᚱᛁᛋᛏᚾᚭ"
ramsund_runestone = "ᛋᛁᚱᚦ᛬ᚴᛁᛅᚱᚦᛁ᛬ᛒᚢᚦ᛬ᚦᚭᛋᛁ᛬ᛘᚢᚦᛁᛦ᛬ᛅᛚᚱᛁᚴᛋ᛬ᛏᚢᛏᛁᛦ᛬ᚢᚱᛘᛋ᛬ᚠᚢᚱ᛬ᛋᛅᛚᚢ᛬ᚼᛅᛚᚢ᛬ᚼᚢᛚᛘᚴᛁᚱᛋ᛬ᚠᛅᚦᚢᚱ᛬ᛋᚢᚴᚱᚢᚦᛅᚱ᛬ᛒᚢᛅᛏᛅ᛬ᛋᛁᛋ"
# The Ed (Boulder) Inscription from Uppland, Sweden
# http://runes.verbix.com/vikingage/Uppland.html
ed_inscription = "ᚱᛅᚼᚾᚢᛅᛚᛏᚱ ᛫ ᛚᛁᛏ ᛫ ᚱᛁᛋᛏᛅ ᛫ ᚱᚢᚾᛅᚱ ᛫ ᚽᚡᛦ ᛫ ᚡᛅᛋᛏᚢᛁ ᛫ ᛘᚬᚦᚢᚱ ᛫ ᛋᛁᚾᛅ ᛫ ᚬᚾᚽᛘᛋ ᛫ ᛏᚬᛏᛦ ᛫ ᛏᚬ ᛁ ᛫ " \
"ᛅᛁᚦᛁ ᛫ ᚴᚢᚦ ᚼᛁᛅᛚᛒᛁ ᛫ ᛅᚾᛏ ᛫ ᚼᚽᚾᛅ ᛫ " \
"§B ᚱᚢᚾᛅ ᛫ ᚱᛁᛋᛏᛅ ᛫ ᛚᛁᛏ ᛫ ᚱᛅᚼᚾᚢᛅᛚᛏᚱ ᛫ ᚼᚢᛅᚱ ᛅ × ᚵᚱᛁᚴᛚᛅᚾᛏᛁ ᛫ ᚢᛅᛋ ᛫ ᛚᛁᛋ ᛫ ᚡᚬᚱᚢᚾᚴᛁ ᛫"
# https://en.wikipedia.org/wiki/Uppland_Runic_Inscription_448
u448 = "ᚴᚢᛚ᛫ᛅᚢᚴ᛫ᛒᛁᚢᚱᚾ᛫ᛚᛁᛏᚢ᛫ᚱᛅᛁᛋᛅ᛫ᛋᛏᛅᛁᚾ᛫ᛂᚠᛏᛁᛦ᛫ᚦᚢᚱᛋᛏᛅᛁᚾ᛫ᚠᛅᚦᚢᚱ"
# https://en.wikipedia.org/wiki/Uppland_Runic_Inscription_92
u92 = "ᚴᚾᚢᛏᚱ ' ᛁ ᚢᛁᚴ'ᚼᚢᛋᚢᛘ ' ᛚᛁᛏ ' ᛋᛏᛅᛁᚾ ' ᚱᛁᛏᛅ ' ᚢᚴ ' ᛒᚱᚬ ' ᚴᛁᚱᛅ ᛫ ᛁᚡᛏᛁᛦ ' ᚡᛅᚦᚢᚱ ᚢᚴ ᛫ ᛘᚬᚦᚬᚱ ᛫ ᚢᚴ ᛫" \
" ᛒᚱᚤᚦᚱ ᛫ ᛋᛁᚾᛅ ᛫ ᚢᚴ ᛫ ᛋᚢᛋᛏᚢᚱ"
sweden_runic_inscription_filename = "sweden_runes.json"
def read_sweden_runes():
with open(sweden_runic_inscription_filename, "r") as f:
return json.load(f)
if __name__ == "__main__":
print(" ".join(Rune.display_runes(ELDER_FUTHARK)))
print(" ".join(Rune.display_runes(YOUNGER_FUTHARK)))
print(" ".join(Rune.display_runes(SHORT_TWIG_YOUNGER_FUTHARK)))
# https://sv.wikipedia.org/wiki/Upplands_runinskrifter_937
inscription = "ᚦᛁᛅᚴᚾ᛫ᛅᚢᚴ᛫ᚴᚢᚾᛅᚱ᛫ᚱᛅᛁᛋᛏᚢ᛫ᛋᛏᛅᛁᚾᛅ ᛅᚠᛏᛁᛦ᛫ᚢᛅᚱ᛫ᛒᚱᚢᚦᚢᚱ᛫ᛋᛁᚾ"
print(inscription)
print(Transcriber.transcribe(inscription, YOUNGER_FUTHARK))
print(little_jelling_stone)
print(Transcriber.transcribe(little_jelling_stone, YOUNGER_FUTHARK))
print(big_jelling_stone)
print(Transcriber.transcribe(big_jelling_stone, YOUNGER_FUTHARK))
print(ramsund_runestone)
print(Transcriber.transcribe(ramsund_runestone, YOUNGER_FUTHARK))
| [
1,
529,
276,
1112,
420,
29958,
2841,
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window_resize.py | manya1712/eye-care | 0 | 148195 |
import pyautogui as pag
alert = 0
class changes():
def __init__(self):
self.last = 35
def change(i, obj):
last = obj.last
if i > 0 and i < 31:
if last > 0 and last < 31:
pass
else:
pag.hotkey('ctrl', '-')
elif i > 30 and i < 51:
if last > 30 and last < 51:
pass
else:
if last > 0 and last < 31:
pag.hotkey('ctrl', '+')
else:
pag.hotkey('ctrl', '-')
elif i > 50:
if last > 50:
pass
else:
pag.hotkey('ctrl', '+')
obj.last = int(i)
return
# def main():
# obj = changes()
# while True:
# success, img = cap.read()
# img, faces = detector.findFaceMesh(img, draw=False)
# if faces:
# face = faces[0]
# left_pupil = face[145]
# right_pupil = face[374]
# w, _info, _image = detector.findDistance(
# left_pupil, right_pupil, img)
# W = 6.3
# f = 600
# D = W*f/w
# cvzone.putTextRect(
# img, f'Distance {int(D)} cm', (face[10][0]-100, face[10][1]-20), 2, 3)
# change(i=int(D), obj=obj)
# cv2.imshow("Image", img)
# cv2.waitKey(1)
# main()
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restAPI/serializers.py | GarlandQ/project-2-photoshare-api | 0 | 99915 | <filename>restAPI/serializers.py
from rest_framework import serializers
from users.models import Profile
from feed.models import Post, Comment
from django.shortcuts import get_object_or_404
class ProfileSerializer(serializers.HyperlinkedModelSerializer):
url = serializers.HyperlinkedIdentityField(
view_name="profile-detail", read_only=True
)
user = serializers.CharField(source="user.username", read_only=True)
class Meta:
model = Profile
fields = ["id", "user", "image", "bio", "url"]
class CommentSerializer(serializers.HyperlinkedModelSerializer):
user = serializers.CharField(source="user.username", read_only=True)
class Meta:
model = Comment
fields = ["user", "comment", "comment_date"]
read_only_fields = ["comment_date"]
class PostUserSerializer(serializers.HyperlinkedModelSerializer):
url = serializers.HyperlinkedIdentityField(
view_name="profile-detail", read_only=True
)
user = serializers.CharField(source="user.username")
class Meta:
model = Profile
fields = ["id", "user", "url"]
class PostSerializer(serializers.HyperlinkedModelSerializer):
user = PostUserSerializer(source="user.profile", read_only=True)
comments = CommentSerializer(many=True, read_only=True)
url = serializers.HyperlinkedIdentityField(view_name="post-detail", read_only=True)
class Meta:
model = Post
fields = [
"id",
"user",
"picture",
"date_posted",
"comments",
"description",
"url",
]
read_only_fields = ["date_posted"]
class PostDetailSerializer(serializers.HyperlinkedModelSerializer):
user = PostUserSerializer(source="user.profile", read_only=True)
comments = CommentSerializer(many=True, read_only=True)
url = serializers.HyperlinkedIdentityField(view_name="post-detail", read_only=True)
class Meta:
model = Post
fields = [
"id",
"user",
"picture",
"date_posted",
"comments",
"description",
"url",
]
read_only_fields = ["picture", "date_posted"]
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finances/migrations/0002_auto_20210119_1120.py | ericmuh/recruitment-system | 2 | 63858 | # Generated by Django 3.1.5 on 2021-01-19 08:20
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('finances', '0001_initial'),
('home', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='payment',
name='client',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='home.client'),
),
migrations.AddField(
model_name='payment',
name='fee',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='finances.fee', verbose_name='Payment For'),
),
migrations.AddField(
model_name='payment',
name='user',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL, verbose_name='Added By'),
),
migrations.AddField(
model_name='fee',
name='job',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='home.job'),
),
migrations.AddField(
model_name='expense',
name='user',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL, verbose_name='Entered By'),
),
]
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2
] |
src/__init__.py | chompomonim/python-graphql-example | 0 | 34856 | from sanic import Sanic
from sanic.response import json, text
from sanic_graphql import GraphQLView
from api import schema, setup
app = Sanic()
@app.route("/")
async def root(request):
return text("Welcome! Call me via POST with graphql query in body.")
@app.route("/", methods=['POST'])
async def post_root(request):
result = schema.execute(request.json['query'])
return json(result.data)
app.add_route(GraphQLView.as_view(schema=schema, graphiql=True), '/graphql')
if __name__ == "__main__":
setup()
app.run(host="0.0.0.0", port=4000)
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multilstm_tensorpack/tensorpack/dataflow/dataset/ilsvrc.py | neale/A4C | 1 | 1615864 | <filename>multilstm_tensorpack/tensorpack/dataflow/dataset/ilsvrc.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# File: ilsvrc.py
# Author: <NAME> <<EMAIL>>
import os
import tarfile
import cv2
import six
import numpy as np
import xml.etree.ElementTree as ET
from ...utils import logger
from ...utils.loadcaffe import get_caffe_pb
from ...utils.fs import mkdir_p, download, get_dataset_path
from ...utils.timer import timed_operation
from ..base import RNGDataFlow
__all__ = ['ILSVRCMeta', 'ILSVRC12']
CAFFE_ILSVRC12_URL = "http://dl.caffe.berkeleyvision.org/caffe_ilsvrc12.tar.gz"
class ILSVRCMeta(object):
"""
Provide methods to access metadata for ILSVRC dataset.
"""
def __init__(self, dir=None):
if dir is None:
dir = get_dataset_path('ilsvrc_metadata')
self.dir = dir
mkdir_p(self.dir)
self.caffepb = get_caffe_pb()
f = os.path.join(self.dir, 'synsets.txt')
if not os.path.isfile(f):
self._download_caffe_meta()
def get_synset_words_1000(self):
"""
Returns:
dict: {cls_number: cls_name}
"""
fname = os.path.join(self.dir, 'synset_words.txt')
assert os.path.isfile(fname)
lines = [x.strip() for x in open(fname).readlines()]
return dict(enumerate(lines))
def get_synset_1000(self):
"""
Returns:
dict: {cls_number: synset_id}
"""
fname = os.path.join(self.dir, 'synsets.txt')
assert os.path.isfile(fname)
lines = [x.strip() for x in open(fname).readlines()]
return dict(enumerate(lines))
def _download_caffe_meta(self):
fpath = download(CAFFE_ILSVRC12_URL, self.dir)
tarfile.open(fpath, 'r:gz').extractall(self.dir)
def get_image_list(self, name):
"""
Args:
name (str): 'train' or 'val' or 'test'
Returns:
list: list of (image filename, label)
"""
assert name in ['train', 'val', 'test']
fname = os.path.join(self.dir, name + '.txt')
assert os.path.isfile(fname)
with open(fname) as f:
ret = []
for line in f.readlines():
name, cls = line.strip().split()
ret.append((name, int(cls)))
assert len(ret)
return ret
def get_per_pixel_mean(self, size=None):
"""
Args:
size (tuple): image size in (h, w). Defaults to (256, 256).
Returns:
np.ndarray: per-pixel mean of shape (h, w, 3 (BGR)) in range [0, 255].
"""
obj = self.caffepb.BlobProto()
mean_file = os.path.join(self.dir, 'imagenet_mean.binaryproto')
with open(mean_file, 'rb') as f:
obj.ParseFromString(f.read())
arr = np.array(obj.data).reshape((3, 256, 256)).astype('float32')
arr = np.transpose(arr, [1, 2, 0])
if size is not None:
arr = cv2.resize(arr, size[::-1])
return arr
class ILSVRC12(RNGDataFlow):
"""
Produces uint8 ILSVRC12 images of shape [h, w, 3(BGR)], and a label between [0, 999],
and optionally a bounding box of [xmin, ymin, xmax, ymax].
"""
def __init__(self, dir, name, meta_dir=None, shuffle=None,
dir_structure='original', include_bb=False):
"""
Args:
dir (str): A directory containing a subdir named ``name``, where the
original ``ILSVRC12_img_{name}.tar`` gets decompressed.
name (str): 'train' or 'val' or 'test'.
shuffle (bool): shuffle the dataset.
Defaults to True if name=='train'.
dir_structure (str): The dir structure of 'val' and 'test' directory.
If is 'original', it expects the original decompressed
directory, which only has list of image files (as below).
If set to 'train', it expects the same two-level
directory structure simlar to 'train/'.
include_bb (bool): Include the bounding box. Maybe useful in training.
Examples:
When `dir_structure=='original'`, `dir` should have the following structure:
.. code-block:: none
dir/
train/
n02134418/
n02134418_198.JPEG
...
...
val/
ILSVRC2012_val_00000001.JPEG
...
test/
ILSVRC2012_test_00000001.JPEG
...
With ILSVRC12_img_*.tar, you can use the following
command to build the above structure:
.. code-block:: none
mkdir val && tar xvf ILSVRC12_img_val.tar -C val
mkdir test && tar xvf ILSVRC12_img_test.tar -C test
mkdir train && tar xvf ILSVRC12_img_train.tar -C train && cd train
find -type f -name '*.tar' | parallel -P 10 'echo {} && mkdir -p {/.} && tar xf {} -C {/.}'
"""
assert name in ['train', 'test', 'val'], name
assert os.path.isdir(dir), dir
self.full_dir = os.path.join(dir, name)
self.name = name
assert os.path.isdir(self.full_dir), self.full_dir
if shuffle is None:
shuffle = name == 'train'
self.shuffle = shuffle
meta = ILSVRCMeta(meta_dir)
self.imglist = meta.get_image_list(name)
self.dir_structure = dir_structure
self.synset = meta.get_synset_1000()
if include_bb:
bbdir = os.path.join(dir, 'bbox') if not \
isinstance(include_bb, six.string_types) else include_bb
assert name == 'train', 'Bounding box only available for training'
self.bblist = ILSVRC12.get_training_bbox(bbdir, self.imglist)
self.include_bb = include_bb
def size(self):
return len(self.imglist)
def get_data(self):
idxs = np.arange(len(self.imglist))
add_label_to_fname = (self.name != 'train' and self.dir_structure != 'original')
if self.shuffle:
self.rng.shuffle(idxs)
for k in idxs:
fname, label = self.imglist[k]
if add_label_to_fname:
fname = os.path.join(self.full_dir, self.synset[label], fname)
else:
fname = os.path.join(self.full_dir, fname)
im = cv2.imread(fname.strip(), cv2.IMREAD_COLOR)
assert im is not None, fname
if im.ndim == 2:
im = np.expand_dims(im, 2).repeat(3, 2)
if self.include_bb:
bb = self.bblist[k]
if bb is None:
bb = [0, 0, im.shape[1] - 1, im.shape[0] - 1]
yield [im, label, bb]
else:
yield [im, label]
@staticmethod
def get_training_bbox(bbox_dir, imglist):
ret = []
def parse_bbox(fname):
root = ET.parse(fname).getroot()
size = root.find('size').getchildren()
size = map(int, [size[0].text, size[1].text])
box = root.find('object').find('bndbox').getchildren()
box = map(lambda x: float(x.text), box)
# box[0] /= size[0]
# box[1] /= size[1]
# box[2] /= size[0]
# box[3] /= size[1]
return np.asarray(box, dtype='float32')
with timed_operation('Loading Bounding Boxes ...'):
cnt = 0
import tqdm
for k in tqdm.trange(len(imglist)):
fname = imglist[k][0]
fname = fname[:-4] + 'xml'
fname = os.path.join(bbox_dir, fname)
try:
ret.append(parse_bbox(fname))
cnt += 1
except KeyboardInterrupt:
raise
except:
ret.append(None)
logger.info("{}/{} images have bounding box.".format(cnt, len(imglist)))
return ret
if __name__ == '__main__':
meta = ILSVRCMeta()
# print(meta.get_synset_words_1000())
ds = ILSVRC12('/home/wyx/data/fake_ilsvrc/', 'train', include_bb=True,
shuffle=False)
ds.reset_state()
for k in ds.get_data():
from IPython import embed
embed()
break
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] |
metafilter/webserve.py | exhuma/metafilter | 0 | 68424 | <reponame>exhuma/metafilter
from flask import (
Flask,
g,
render_template,
request,
redirect,
make_response,
url_for,
jsonify)
from metafilter.model import Node, Query, Session, Tag, set_dsn
from metafilter.model import queries, nodes, tags as tag_model
import logging
LOG = logging.getLogger(__name__)
app = Flask(__name__)
class FlaskConfig(object):
DEBUG = True
SECRET_KEY = '<KEY>'
app.config.from_object(FlaskConfig())
@app.before_request
def before_request():
g.sess = Session()
@app.after_request
def after_request(response):
g.sess.commit()
g.sess.close()
return response
@app.route('/query')
@app.route('/query/<path:query>')
def query(query="root"):
result = nodes.subdirs(g.sess, query)
if not result:
result = []
result += nodes.from_incremental_query(g.sess, query)
try:
result = result.order_by([
Node.mimetype != 'other/directory',
Node.uri])
except Exception, exc:
LOG.info(exc)
if request.values.get('format', '') == 'json':
return jsonify(dict(
result=[{'download_url': url_for('download', path=_.path)} for _ in result]
))
return render_template("entries.html", entries=result, query=query)
@app.route('/tags')
def tags():
tags = tag_model.tag_counts(g.sess)
return render_template("tags.html", tags=tags.execute())
@app.route('/delete_from_disk/<path>')
def delete_from_disk(path):
nodes.delete_from_disk(g.sess, path)
return redirect(request.referrer)
@app.route('/thumbnail/<path>')
def thumbnail(path):
import Image
from cStringIO import StringIO
node = nodes.by_path(g.sess, path)
try:
im = Image.open(node.uri)
im.thumbnail((128, 128), Image.ANTIALIAS)
tmp = StringIO()
im.save(tmp, "JPEG")
response = make_response(tmp.getvalue())
response.headers['Content-Type'] = 'image/jpeg'
return response
except Exception, exc:
return str(exc)
@app.route('/download/<path>')
def download(path):
node = nodes.by_path(g.sess, path)
data = open(node.uri, 'rb').read()
if request.values.get('format', '') == 'json':
return jsonify(
data=data.encode('base64')
)
response = make_response(data)
response.headers['Content-Type'] = node.mimetype
return response
@app.route('/set_rating', methods=["POST"])
def set_rating():
from metafilter.model.nodes import set_rating
set_rating(request.form["path"], int(request.form['value']))
return "OK"
@app.route('/tag_all', methods=["POST"])
def tag_all():
node_qry = nodes.from_incremental_query(g.sess, request.form["query"])
tags = []
for tagname in request.form['tags'].split(','):
tagname = tagname.strip()
tag = Tag.find(g.sess, tagname)
if not tag:
tag = Tag(tagname)
tags.append(tag)
for node in node_qry:
if node.is_dir():
continue
node.tags.extend(tags)
return redirect(url_for('query', query=request.form['query']))
@app.route('/new_query', methods=["POST"])
def new_query():
qry = Query(request.form['query'])
g.sess.add(qry)
return redirect(request.referrer)
@app.route("/")
def list_queries():
qry = g.sess.query(Query)
qry = qry.order_by(Query.query)
return render_template("queries.html", saved_queries=qry)
@app.route("/save_query", methods=["POST"])
def save_query():
old_query = request.form['id']
new_query = request.form['value']
queries.update( g.sess, old_query, new_query )
return new_query
@app.route("/save_tags", methods=["POST"])
def save_tags():
uri = request.form['id']
tags_value = request.form['value']
tags = [x.strip() for x in tags_value.split(',')]
nodes.set_tags( g.sess, uri, tags )
return ', '.join(tags)
@app.route("/delete_query/<query>")
def delete_query(query):
queries.delete( g.sess, query )
return "OK"
@app.route("/duplicates")
def duplicates():
return render_template("duplicates.html",
duplicates=nodes.duplicates(g.sess))
@app.route("/acknowledge_duplicate/<md5>")
def acknowledge_duplicate(md5):
nodes.acknowledge_duplicate(g.sess, md5)
return redirect(url_for('duplicates'))
@app.route("/view/<path:query>/<int:index>")
def view(query, index=0):
result = nodes.subdirs(g.sess, query)
if not result:
result = []
result += nodes.from_incremental_query(g.sess, query)
result = filter(lambda x: x.mimetype != 'other/directory', result)
try:
result = result.order_by([
Node.mimetype != 'other/directory',
Node.uri])
except Exception, exc:
LOG.info(exc)
return render_template("view.html",
node=result[index],
query=query,
index=index,
)
@app.route("/file_uri/<path:query>/<int:index>")
def file_uri(query, index):
"""
Retrieve the file URI for the given query on the given index
"""
result = nodes.subdirs(g.sess, query)
if not result:
result = []
result += nodes.from_incremental_query(g.sess, query)
result = filter(lambda x: x.mimetype in (
'image/jpeg',
'image/png',
'image/jpg'), result)
try:
result = result.order_by( [Node.mimetype != 'other/directory', Node.uri ] )
except Exception, exc:
LOG.info(exc)
if index > len(result)-1:
return jsonify(dict(
url = None
))
return jsonify(dict(
url = url_for('download', path=result[index].path)
))
@app.route("/fullscreen/<path:query>")
def fullscreen(query):
"""
Displays an entry in a fullscreen view
"""
return render_template("fullscreen.html",
query = query,
)
if __name__ == "__main__":
app.debug = True
logging.basicConfig(level=logging.DEBUG)
set_dsn("postgresql://filemeta:filemeta@localhost:5432/filemeta")
app.run(host="0.0.0.0", port=8181, threaded=True)
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src/datasets/transformer_name_replacer.py | elangovana/large-scale-ptm-ppi | 1 | 101018 | <gh_stars>1-10
import logging
from typing import List, Dict
class TransformerNameReplacer:
"""
Replaces named entity mentions in text with custom names
"""
@property
def _logger(self):
return logging.getLogger(__name__)
def __call__(self, text: str, entities: List[Dict]) -> str:
"""
Replaces named entity mentions in text with custom names
:param text: The text to replace
:param entities: A list of dictionary. The dictionary should contain the keys shown below
[{"charOffset": 62
, "len": 4
, "replacement": "Protein1"
}]
:return: The replaced string
"""
pos_sorted_entities = sorted(entities, key=lambda x: int(x["charOffset"]))
adjustment_pos = 0
previous_data_pos, previous_data_len = -1, -1
last_replacement_end_position = 0
replaced_text = text
for entity_detail in pos_sorted_entities:
s_orig_pos = int(entity_detail["charOffset"])
s_pos = s_orig_pos + adjustment_pos
entity_len = entity_detail["len"]
e_pos = s_pos + int(entity_len)
if s_orig_pos <= (previous_data_pos+previous_data_len):
self._logger.info(
"Skip: The position {} overlaps with previous data pos {} including len {} \n{} \n{}".format(
s_orig_pos,
previous_data_pos,
previous_data_len,
text,
pos_sorted_entities
))
continue
else:
assert s_pos >= last_replacement_end_position, "Something has gone wrong..Start position {} is <= last_replacement_end_position {}, \n{}, \n{} \n{}" \
.format(s_pos, last_replacement_end_position, text,
pos_sorted_entities, s_orig_pos)
replaced_substring = replaced_text[:s_pos] + entity_detail["replacement"]
replaced_text = replaced_substring + replaced_text[e_pos:]
previous_data_pos, previous_data_len = s_orig_pos, entity_len
adjustment_pos += len(entity_detail["replacement"]) - (e_pos - s_pos)
last_replacement_end_position = len(replaced_substring)
return replaced_text
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] |
main.py | KuanS/DL_template | 0 | 55831 | from utils.initLog import initLog
def main_function():
logger = initLog('dev', '/home/kuan/DL_template')
logger.critical('CRITICAL')
logger.fatal('FATAL')
logger.error('ERROR')
logger.warning('WARNING')
logger.info('INFO')
logger.debug('DEBUG')
if __name__ == '__main__':
main_function()
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resseg/parcellation.py | fepegar/resseg | 3 | 107667 | from pathlib import Path
import numpy as np
import pandas as pd
import nibabel as nib
import matplotlib.pyplot as plt
import matplotlib.ticker as mtick
color_tables_dir = Path(__file__).parent
class Parcellation:
def __init__(self, parcellation_path):
self.parcellation_path = Path(parcellation_path)
self._label_map = None
@property
def label_map(self):
if self._label_map is None:
label_map_nii = nib.load(self.parcellation_path)
self._label_map = label_map_nii.get_data().astype(np.uint16)
return self._label_map
def get_resected_structures(self, resection_seg_path, ignore=None):
if ignore is None:
ignore = []
resected_dict = self.get_resected_labels_and_counts(resection_seg_path)
structures = []
for resected_number, num_voxels_resected in resected_dict.items():
structure_name = self.color_table.get_structure_from_label_number(
resected_number)
ignore_this = False
for substring_to_ignore in ignore:
if substring_to_ignore in structure_name:
ignore_this = True
break
if ignore_this:
continue
num_voxels_parcellation = np.count_nonzero(
self.label_map == resected_number)
ratio = num_voxels_resected / num_voxels_parcellation
structures.append((
structure_name,
num_voxels_resected,
ratio,
))
return list(zip(*structures))
def get_resected_labels_and_counts(self, resection_seg_path):
mask_nii = nib.load(resection_seg_path)
mask = mask_nii.get_data() > 0
masked_values = self.label_map[mask]
unique, counts = np.unique(masked_values, return_counts=True)
resected_dict = dict(zip(unique, counts))
return resected_dict
def print_percentage_of_resected_structures(self,
resection_seg_path,
hide_zeros=True):
structures, voxels, ratios = self.get_resected_structures(
resection_seg_path)
sort_by_ratio = np.argsort(ratios)
print('Percentage of each resected structure:')
for idx in reversed(sort_by_ratio):
ratio = ratios[idx]
structure = structures[idx]
percentage = int(ratio * 100)
if percentage == 0 and hide_zeros:
continue
structure_pretty = structure.replace('-', ' ')
print(f'{percentage:3}% of {structure_pretty}')
print()
sort_by_voxels = np.argsort(voxels)
total_voxels = sum(voxels)
print('The resection volume is composed of:')
for idx in reversed(sort_by_voxels):
ratio = voxels[idx] / total_voxels
structure = structures[idx]
percentage = int(ratio * 100)
if percentage == 0 and hide_zeros:
continue
structure_pretty = structure.replace('-', ' ')
print(f'{percentage:3}% is {structure_pretty}')
def plot_pie(
self,
resection_seg_path,
title=None,
show=True,
pct_threshold=2,
output_path=None,
ignore=None,
):
names, voxels, _ = self.get_resected_structures(
resection_seg_path, ignore=ignore)
colors = [
self.color_table.get_color_from_structure_name(name)
for name in names
]
fig, ax = plt.subplots()
sort_by_voxels = np.argsort(voxels)[::-1] # descending order
voxels = np.array(voxels)[sort_by_voxels]
percentages = (voxels / voxels.sum()) * 100
names = np.array(names)[sort_by_voxels]
colors = np.array(colors)[sort_by_voxels]
# Hide some values
def my_autopct(pct):
return f'{int(pct)}%' if pct > pct_threshold else ''
labels = names[:]
for i, pct in enumerate(percentages):
if pct <= pct_threshold:
labels[i] = ''
ax.pie(
percentages,
labels=labels,
colors=colors,
shadow=False,
autopct=my_autopct,
pctdistance=0.7,
)
if title is not None:
ax.set_title(title)
plt.tight_layout()
if output_path is not None:
fig.savefig(output_path, dpi=400)
if show:
plt.show()
return fig
def plot_bars(
self,
resection_seg_path,
title=None,
show=True,
output_path=None,
ignore=None,
):
names, _, ratios = self.get_resected_structures(
resection_seg_path, ignore=ignore)
colors = [
self.color_table.get_color_from_structure_name(name)
for name in names
]
fig, ax = plt.subplots()
sort_by_ratios = np.argsort(ratios)
ratios = np.array(ratios)[sort_by_ratios]
percentages = ratios * 100
names = np.array(names)[sort_by_ratios]
colors = np.array(colors)[sort_by_ratios]
y_pos = np.arange(len(names))
ax.barh(
y_pos,
percentages,
align='center',
color=colors,
tick_label=names,
)
ax.set_axisbelow(True) # https://stackoverflow.com/a/39039520
ax.grid()
ax.set_xlim((0, 105))
ax.xaxis.set_major_formatter(mtick.PercentFormatter())
if title is not None:
ax.set_title(title)
plt.tight_layout()
if output_path is not None:
fig.savefig(output_path, dpi=400)
if show:
plt.show()
return fig
def is_valid_number(self, number):
return self.color_table.is_valid_number(number)
class GIFParcellation(Parcellation):
def __init__(self, parcellation_path):
Parcellation.__init__(self, parcellation_path)
self.color_table = GIFColorTable()
class FreeSurferParcellation(Parcellation):
def __init__(self, parcellation_path):
Parcellation.__init__(self, parcellation_path)
self.color_table = FreeSurferColorTable()
class ColorTable:
def __init__(self):
self.fieldnames = (
'structure',
'red',
'green',
'blue',
'alpha',
)
def get_value_from_label_number(self, label_number, key):
try:
value = self._data_frame.loc[label_number][key]
except KeyError:
value = f'[Unkown label: {label_number}]'
return value
def get_row_from_structure_name(self, name):
mask = self._data_frame['structure'] == name
row = self._data_frame.loc[mask]
return row
def get_value_from_structure_name(self, name, key):
row = self.get_row_from_structure_name(name)
value = row[key]
return value
def get_structure_from_label_number(self, label_number):
return self.get_value_from_label_number(label_number, 'structure')
def get_color_from_structure_name(self, name):
row = self.get_row_from_structure_name(name)
if row.empty:
color = 0, 0, 0
else:
color = [row[c].values for c in ('red', 'green', 'blue')]
color = np.hstack(color)
color = np.array(color) / 255
return color
def is_valid_number(self, number):
return number in self._data_frame.index
class GIFColorTable(ColorTable):
def __init__(self):
ColorTable.__init__(self)
self.color_table_path = color_tables_dir / 'BrainAnatomyLabelsV3_0.txt'
self._data_frame = self.read_color_table()
def read_color_table(self):
df = pd.read_csv(
self.color_table_path,
index_col=0,
names=self.fieldnames,
sep=r'\s+', # there is a double space in the file
)
return df
class FreeSurferColorTable(ColorTable):
def __init__(self):
ColorTable.__init__(self)
self.color_table_path = color_tables_dir / 'FreeSurferLabels.ctbl'
self._data_frame = self.read_color_table()
def read_color_table(self):
df = pd.read_csv(
self.color_table_path,
index_col=0,
names=self.fieldnames,
sep=r'\s+',
skiprows=2,
)
return df
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] |
tilecloud/store/redis.py | wendymhelson/tilecloud | 0 | 87660 | from __future__ import absolute_import
import logging
import os
import socket
from c2cwsgiutils import stats
import redis.sentinel
from tilecloud import TileStore
from tilecloud.store.queue import decode_message, encode_message
STREAM_GROUP = "tilecloud"
CONSUMER_NAME = socket.gethostname() + "-" + str(os.getpid())
logger = logging.getLogger(__name__)
class RedisTileStore(TileStore):
"""
Redis queue.
"""
def __init__(
self,
url=None,
name="tilecloud",
stop_if_empty=True,
timeout=5,
pending_timeout=5 * 60,
max_retries=5,
max_errors_age=24 * 3600,
max_errors_nb=100,
sentinels=None,
service_name="mymaster",
sentinel_kwargs=None,
connection_kwargs=None,
**kwargs,
):
super().__init__(**kwargs)
connection_kwargs = connection_kwargs or {}
if sentinels is not None:
sentinel = redis.sentinel.Sentinel(
sentinels, sentinel_kwargs=sentinel_kwargs, **connection_kwargs
)
self._master = sentinel.master_for(service_name)
self._slave = sentinel.slave_for(service_name)
else:
self._master = redis.Redis.from_url(url, **connection_kwargs)
self._slave = self._master
self._stop_if_empty = stop_if_empty
self._timeout_ms = int(timeout * 1000)
self._pending_timeout_ms = int(pending_timeout * 1000)
self._max_retries = max_retries
self._max_errors_age = max_errors_age
self._max_errors_nb = max_errors_nb
if not name.startswith("queue_"):
name = "queue_" + name
self._name_str = name
self._name = name.encode("utf-8")
self._errors_name = self._name + b"_errors"
try:
self._master.xgroup_create(name=self._name, groupname=STREAM_GROUP, id="0-0", mkstream=True)
except redis.ResponseError as e:
if "BUSYGROUP" not in str(e):
raise
def __contains__(self, tile):
return False
@staticmethod
def get_one(tile):
return tile
def list(self):
count = 0
while True:
queues = self._master.xreadgroup(
groupname=STREAM_GROUP,
consumername=CONSUMER_NAME,
streams={self._name: ">"},
count=1,
block=round(self._timeout_ms),
)
if not queues:
queues = self._claim_olds()
if queues is None:
stats.set_gauge(["redis", self._name_str, "nb_messages"], 0)
stats.set_gauge(["redis", self._name_str, "pending"], 0)
if queues is None and self._stop_if_empty:
break
if queues:
for redis_message in queues:
queue_name, queue_messages = redis_message
assert queue_name == self._name
for message in queue_messages:
id_, body = message
try:
tile = decode_message(body[b"message"], from_redis=True, sqs_message=id_)
yield tile
except Exception:
logger.warning("Failed decoding the Redis message", exc_info=True)
stats.increment_counter(["redis", self._name_str, "decode_error"])
count += 1
if count % 10 == 0:
stats.set_gauge(
["redis", self._name_str, "nb_messages"], self._slave.xlen(name=self._name)
)
pending = self._slave.xpending(self._name, STREAM_GROUP)
stats.set_gauge(["redis", self._name_str, "pending"], pending["pending"])
def put_one(self, tile):
try:
self._master.xadd(name=self._name, fields={"message": encode_message(tile)})
except Exception as e:
logger.warning("Failed sending Redis message", exc_info=True)
tile.error = e
def put(self, tiles):
for tile in tiles:
self.put_one(tile)
yield tile
def delete_one(self, tile):
# Once consumed from redis, we don't have to delete the tile from the queue.
assert hasattr(tile, "from_redis")
assert hasattr(tile, "sqs_message")
assert tile.from_redis is True
self._master.xack(self._name, STREAM_GROUP, tile.sqs_message)
self._master.xdel(self._name, tile.sqs_message)
return tile
def delete_all(self):
"""
Used only by tests
"""
self._master.xtrim(name=self._name, maxlen=0)
# xtrim doesn't empty the group claims. So we have to delete and re-create groups
self._master.xgroup_destroy(name=self._name, groupname=STREAM_GROUP)
self._master.xgroup_create(name=self._name, groupname=STREAM_GROUP, id="0-0", mkstream=True)
self._master.xtrim(name=self._errors_name, maxlen=0)
def _claim_olds(self):
pendings = self._master.xpending_range(
name=self._name, groupname=STREAM_GROUP, min="-", max="+", count=10
)
if not pendings:
# None means there is nothing pending at all
return None
to_steal = []
to_drop = []
for pending in pendings:
if int(pending["time_since_delivered"]) >= self._pending_timeout_ms:
id_ = pending["message_id"]
nb_retries = int(pending["times_delivered"])
if nb_retries < self._max_retries:
logger.info(
"A message has been pending for too long. Stealing it (retry #%d): %s",
nb_retries,
id_,
)
to_steal.append(id_)
else:
logger.warning(
"A message has been pending for too long and retried too many times. Dropping it: %s",
id_,
)
to_drop.append(id_)
if to_drop:
drop_messages = self._master.xclaim(
name=self._name,
groupname=STREAM_GROUP,
consumername=CONSUMER_NAME,
min_idle_time=self._pending_timeout_ms,
message_ids=to_drop,
)
drop_ids = [drop_message[0] for drop_message in drop_messages]
self._master.xack(self._name, STREAM_GROUP, *drop_ids)
self._master.xdel(self._name, *drop_ids)
for _, drop_message in drop_messages:
tile = decode_message(drop_message[b"message"])
self._master.xadd(
name=self._errors_name,
fields=dict(tilecoord=str(tile.tilecoord)),
maxlen=self._max_errors_nb,
)
stats.increment_counter(["redis", self._name_str, "dropped"], len(to_drop))
if to_steal:
messages = self._master.xclaim(
name=self._name,
groupname=STREAM_GROUP,
consumername=CONSUMER_NAME,
min_idle_time=self._pending_timeout_ms,
message_ids=to_steal,
)
stats.increment_counter(["redis", self._name_str, "stolen"], len(to_steal))
return [[self._name, messages]]
else:
# Empty means there are pending jobs, but they are not old enough to be stolen
return []
def get_status(self):
"""
Returns a map of stats
"""
nb_messages = self._slave.xlen(self._name)
pending = self._slave.xpending(self._name, STREAM_GROUP)
tiles_in_error = self._get_errors()
stats.set_gauge(["redis", self._name_str, "nb_messages"], nb_messages)
return {
"Approximate number of tiles to generate": nb_messages,
"Approximate number of generating tiles": pending["pending"],
"Tiles in error": ", ".join(tiles_in_error),
}
def _get_errors(self):
now, now_us = self._slave.time()
old_timestamp = (now - self._max_errors_age) * 1000 + now_us / 1000
errors = self._slave.xrange(name=self._errors_name)
tiles_in_error = set()
old_errors = []
for error_id, error_message in errors:
timestamp = int(error_id.decode().split("-")[0])
if timestamp <= old_timestamp:
old_errors.append(error_id)
else:
tiles_in_error.add(error_message[b"tilecoord"].decode())
if old_errors:
logger.info("Deleting %d old errors", len(old_errors))
self._master.xdel(self._errors_name, *old_errors)
return tiles_in_error
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] |
src/app/domains/user.py | hap0n/employee-management-system | 0 | 148238 | from dataclasses import dataclass
from enum import Enum
from typing import Optional
class Role(str, Enum):
user = "user"
hr = "hr"
admin = "admin"
@dataclass
class User:
username: str
password_hash: str
id: Optional[int] = None
role: Role = Role.user
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tools/telemetry/telemetry/core/chrome/desktop_browser_finder.py | pozdnyakov/chromium-crosswalk | 0 | 142845 | # Copyright (c) 2012 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Finds desktop browsers that can be controlled by telemetry."""
import logging
import os
import subprocess
import sys
from telemetry.core import browser
from telemetry.core import possible_browser
from telemetry.core import profile_types
from telemetry.core.chrome import desktop_browser_backend
from telemetry.core.platform import linux_platform_backend
from telemetry.core.platform import mac_platform_backend
from telemetry.core.platform import win_platform_backend
ALL_BROWSER_TYPES = ','.join([
'exact',
'release',
'debug',
'canary',
'content-shell-debug',
'content-shell-release',
'system'])
class PossibleDesktopBrowser(possible_browser.PossibleBrowser):
"""A desktop browser that can be controlled."""
def __init__(self, browser_type, options, executable, is_content_shell):
super(PossibleDesktopBrowser, self).__init__(browser_type, options)
self._local_executable = executable
self._is_content_shell = is_content_shell
def __repr__(self):
return 'PossibleDesktopBrowser(browser_type=%s)' % self.browser_type
# Constructs a browser.
# Returns a touple of the form: (browser, backend)
def _CreateBrowserInternal(self, delete_profile_dir_after_run):
backend = desktop_browser_backend.DesktopBrowserBackend(
self._options, self._local_executable, self._is_content_shell,
delete_profile_dir_after_run=delete_profile_dir_after_run)
if sys.platform.startswith('linux'):
p = linux_platform_backend.LinuxPlatformBackend()
elif sys.platform == 'darwin':
p = mac_platform_backend.MacPlatformBackend()
elif sys.platform == 'win32':
p = win_platform_backend.WinPlatformBackend()
else:
raise NotImplementedError()
b = browser.Browser(backend, p)
backend.SetBrowser(b)
return (b, backend)
def Create(self):
# If a dirty profile is needed, instantiate an initial browser object and
# use that to create a dirty profile.
creator_class = profile_types.GetProfileCreator(self.options.profile_type)
if creator_class:
logging.info(
'Creating a dirty profile of type: %s', self.options.profile_type)
(b, backend) = \
self._CreateBrowserInternal(delete_profile_dir_after_run=False)
with b as b:
creator = creator_class(b)
creator.CreateProfile()
dirty_profile_dir = backend.profile_directory
logging.info(
"Dirty profile created succesfully in '%s'", dirty_profile_dir)
# Now create another browser to run tests on using the dirty profile
# we just created.
(b, backend) = \
self._CreateBrowserInternal(delete_profile_dir_after_run=True)
backend.SetProfileDirectory(dirty_profile_dir)
else:
(b, backend) = \
self._CreateBrowserInternal(delete_profile_dir_after_run=True)
return b
def SupportsOptions(self, options):
if (len(options.extensions_to_load) != 0) and self._is_content_shell:
return False
return True
def FindAllAvailableBrowsers(options):
"""Finds all the desktop browsers available on this machine."""
browsers = []
has_display = True
if (sys.platform.startswith('linux') and
os.getenv('DISPLAY') == None):
has_display = False
# Add the explicit browser executable if given.
if options.browser_executable:
normalized_executable = os.path.expanduser(options.browser_executable)
if os.path.exists(normalized_executable):
browsers.append(PossibleDesktopBrowser('exact', options,
normalized_executable, False))
else:
logging.warning('%s specified by browser_executable does not exist',
normalized_executable)
# Look for a browser in the standard chrome build locations.
if options.chrome_root:
chrome_root = options.chrome_root
else:
chrome_root = os.path.join(os.path.dirname(__file__),
'..', '..', '..', '..', '..')
if sys.platform == 'darwin':
chromium_app_name = 'Chromium.app/Contents/MacOS/Chromium'
content_shell_app_name = 'Content Shell.app/Contents/MacOS/Content Shell'
elif sys.platform.startswith('linux'):
chromium_app_name = 'chrome'
content_shell_app_name = 'content_shell'
elif sys.platform.startswith('win'):
chromium_app_name = 'chrome.exe'
content_shell_app_name = 'content_shell.exe'
else:
raise Exception('Platform not recognized')
build_dirs = ['build',
'out',
'sconsbuild',
'xcodebuild']
def AddIfFound(browser_type, type_dir, app_name, content_shell):
for build_dir in build_dirs:
app = os.path.join(chrome_root, build_dir, type_dir, app_name)
if os.path.exists(app):
browsers.append(PossibleDesktopBrowser(browser_type, options,
app, content_shell))
return True
return False
# Add local builds
AddIfFound('debug', 'Debug', chromium_app_name, False)
AddIfFound('content-shell-debug', 'Debug', content_shell_app_name, True)
AddIfFound('release', 'Release', chromium_app_name, False)
AddIfFound('content-shell-release', 'Release', content_shell_app_name, True)
# Mac-specific options.
if sys.platform == 'darwin':
mac_canary = ('/Applications/Google Chrome Canary.app/'
'Contents/MacOS/Google Chrome Canary')
mac_system = '/Applications/Google Chrome.app/Contents/MacOS/Google Chrome'
if os.path.exists(mac_canary):
browsers.append(PossibleDesktopBrowser('canary', options,
mac_canary, False))
if os.path.exists(mac_system):
browsers.append(PossibleDesktopBrowser('system', options,
mac_system, False))
# Linux specific options.
if sys.platform.startswith('linux'):
# Look for a google-chrome instance.
found = False
try:
with open(os.devnull, 'w') as devnull:
found = subprocess.call(['google-chrome', '--version'],
stdout=devnull, stderr=devnull) == 0
except OSError:
pass
if found:
browsers.append(
PossibleDesktopBrowser('system', options, 'google-chrome', False))
# Win32-specific options.
if sys.platform.startswith('win'):
system_path = os.path.join('Google', 'Chrome', 'Application')
canary_path = os.path.join('Google', 'Chrome SxS', 'Application')
win_search_paths = [os.getenv('PROGRAMFILES(X86)'),
os.getenv('PROGRAMFILES'),
os.getenv('LOCALAPPDATA')]
for path in win_search_paths:
if not path:
continue
if AddIfFound('canary', os.path.join(path, canary_path),
chromium_app_name, False):
break
for path in win_search_paths:
if not path:
continue
if AddIfFound('system', os.path.join(path, system_path),
chromium_app_name, False):
break
if len(browsers) and not has_display:
logging.warning(
'Found (%s), but you do not have a DISPLAY environment set.' %
','.join([b.browser_type for b in browsers]))
return []
return browsers
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1018,
29901,
13,
418,
411,
1722,
29898,
359,
29889,
3359,
4304,
29892,
525,
29893,
1495,
408,
2906,
4304,
29901,
13,
4706,
1476,
353,
1014,
5014,
29889,
4804,
18959,
3608,
29899,
18114,
742,
525,
489,
3259,
7464,
13,
462,
18884,
27591,
29922,
3359,
4304,
29892,
380,
20405,
29922,
3359,
4304,
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1275,
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29900,
13,
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438,
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13,
418,
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13,
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565,
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13,
418,
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13,
3986,
20049,
17600,
21537,
877,
5205,
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525,
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13,
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396,
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13,
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565,
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877,
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13,
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353,
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7122,
877,
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742,
525,
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525,
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13,
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508,
653,
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877,
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525,
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29947,
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13,
462,
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657,
6272,
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8618,
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24483,
5477,
13,
462,
4706,
2897,
29889,
657,
6272,
877,
16652,
1964,
20576,
14573,
1495,
29962,
13,
13,
1678,
363,
2224,
297,
5401,
29918,
4478,
29918,
24772,
29901,
13,
418,
565,
451,
2224,
29901,
13,
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13,
418,
565,
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3644,
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877,
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653,
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653,
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2084,
511,
13,
462,
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932,
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13,
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2867,
13,
13,
1678,
363,
2224,
297,
5401,
29918,
4478,
29918,
24772,
29901,
13,
418,
565,
451,
2224,
29901,
13,
4706,
6773,
13,
418,
565,
3462,
3644,
9692,
877,
5205,
742,
2897,
29889,
2084,
29889,
7122,
29898,
2084,
29892,
1788,
29918,
2084,
511,
13,
462,
1678,
25173,
1974,
29918,
932,
29918,
978,
29892,
7700,
1125,
13,
4706,
2867,
13,
13,
29871,
565,
7431,
29898,
23721,
4253,
29897,
322,
451,
756,
29918,
4990,
29901,
13,
1678,
12183,
29889,
27392,
29898,
13,
418,
525,
9692,
313,
29995,
29879,
511,
541,
366,
437,
451,
505,
263,
28657,
29925,
18799,
5177,
731,
6169,
1273,
13,
418,
13420,
4286,
7122,
4197,
29890,
29889,
15965,
29918,
1853,
363,
289,
297,
14376,
12622,
13,
1678,
736,
5159,
13,
13,
29871,
736,
14376,
13,
2
] |
leetcode/python/medium/p017_letterCombinations.py | kefirzhang/algorithms | 0 | 149190 | class Solution:
key_map = {
"1": [""],
"2": ['a', 'b', 'c'],
"3": ['d', 'e', 'f'],
"4": ['g', 'h', 'i'],
"5": ['j', 'k', 'l'],
"6": ['m', 'n', 'o'],
"7": ['p', 'q', 'r', 's'],
"8": ['t', 'u', 'v'],
"9": ['w', 'x', 'y', 'z']
}
def letterCombinations(self, digits):
s_l = [] # 存储的list
for i in digits: # 遍历字符
p_l = []
for j in self.key_map.get(i): # 获取对应的map 根上一层是一层的
if len(s_l) == 0:
p_l.append(j)
continue
for k in s_l:
p_l.append(k + j)
s_l = p_l
return s_l
slu = Solution()
print(slu.letterCombinations("23"))
| [
1,
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13,
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1820,
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30683,
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31370,
30210,
1958,
29871,
31393,
30429,
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232,
180,
133,
30392,
30287,
232,
180,
133,
30210,
13,
18884,
565,
7431,
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29879,
29918,
29880,
29897,
1275,
29871,
29900,
29901,
13,
462,
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282,
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29880,
29889,
4397,
29898,
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29897,
13,
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413,
297,
269,
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13,
462,
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282,
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4397,
29898,
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718,
432,
29897,
13,
13,
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269,
29918,
29880,
353,
282,
29918,
29880,
13,
4706,
736,
269,
29918,
29880,
13,
13,
13,
2536,
29884,
353,
24380,
580,
13,
2158,
29898,
2536,
29884,
29889,
15670,
1523,
2109,
800,
703,
29906,
29941,
5783,
13,
2
] |
dom/metadata.py | Starwort/domgen | 0 | 37316 | import functools
from .base_classes import Container, Void
class BaseURL(Void):
"""The HTML `<base>` element specifies the base URL to use for *all*
relative URLs in a document. There can be only one `<base>` element in a
document.
"""
__slots__ = ()
tag = "base"
Base = BaseURL
class ExternalResourceLink(Void):
"""The HTML External Resource Link element (`<link>`) specifies
relationships between the current document and an external resource.
This element is most commonly used to link to stylesheets, but is
also used to establish site icons (both "favicon" style icons and
icons for the home screen and apps on mobile devices) among other
things.
"""
__slots__ = ()
tag = "link"
Link = ExternalResourceLink
ExternalStyleSheet = functools.partial(ExternalResourceLink, rel="stylesheet")
class Meta(Void):
"""The HTML `<meta>` element represents metadata that cannot be
represented by other HTML meta-related elements, like `<base>`,
`<link>`, `<script>`, `<style>` or `<title>`.
"""
__slots__ = ()
tag = "meta"
class Style(Container):
"""The HTML `<style>` element contains style information for a
document, or part of a document.
"""
__slots__ = ()
tag = "style"
class Title(Container):
"""The HTML Title element (`<title>`) defines the document's title
that is shown in a browser's title bar or a page's tab.
"""
__slots__ = ()
tag = "title"
| [
1,
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263,
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1842,
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470,
760,
310,
263,
1842,
29889,
13,
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9995,
13,
13,
1678,
4770,
2536,
1862,
1649,
353,
3861,
13,
1678,
4055,
353,
376,
3293,
29908,
13,
13,
13,
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7895,
1125,
13,
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9995,
1576,
4544,
18527,
1543,
6695,
29966,
3257,
29958,
6348,
17645,
278,
1842,
29915,
29879,
3611,
13,
1678,
393,
338,
4318,
297,
263,
4714,
29915,
29879,
3611,
2594,
470,
263,
1813,
29915,
29879,
4434,
29889,
13,
1678,
9995,
13,
13,
1678,
4770,
2536,
1862,
1649,
353,
3861,
13,
1678,
4055,
353,
376,
3257,
29908,
13,
2
] |
parse.py | tochilkinva/parse_and_save_xlsx | 0 | 132858 | <reponame>tochilkinva/parse_and_save_xlsx<gh_stars>0
import re
from bs4 import BeautifulSoup
from selenium import webdriver
URL_HH = '''https://hh.ru/search/vacancy?area=1&fromSearchLine
=true&st=searchVacancy&text=Python+junior&from=suggest_post'''
def get_page(url):
"""Получаем HTML одной страницы с указанного url"""
try:
browser = init_browser()
browser.get(url)
required_html = browser.page_source
browser.quit()
return required_html
except Exception as e:
raise Exception(
f'Не удалось получить данные: {e}')
def get_vacancies(url):
"""Получаем HTML с нескольких страниц с указанного url
и парсим возвращаем вакансии"""
try:
browser = init_browser()
browser.get(url)
required_html = browser.page_source
vacancies = parse_vacancies(required_html)
next_page = get_next_page_or_none(required_html)
if next_page is not None:
next_page = f'https:/hh.ru{next_page}'
loop_breaker = 20
while True:
loop_breaker -= 1
if loop_breaker <= 0:
break
browser.get(next_page)
new_required_html = browser.page_source
vacancies = {**vacancies, **parse_vacancies(new_required_html)}
next_page = get_next_page_or_none(new_required_html)
if next_page is not None:
next_page = f'https:/hh.ru{next_page}'
else:
break
browser.quit()
return vacancies
except Exception as e:
raise Exception(
f'Не удалось получить данные: {e}')
def init_browser():
"""Настраиваем и запускаем браузер"""
options = webdriver.ChromeOptions()
options.add_argument('headless')
options.add_argument('--ignore-certificate-errors')
options.add_argument('--ignore-ssl-errors')
return webdriver.Chrome(chrome_options=options)
def get_next_page_or_none(required_html):
"""Получаем ссылку на следующую страницу или None"""
try:
data = BeautifulSoup(required_html, features='html.parser')
next_page = data.find('a', {"data-qa": "pager-next"})
if next_page is None:
return None
return next_page.get('href')
except Exception as e:
raise Exception(
f'Не удалось получить следующую страницу: {e}')
def parse_vacancies(raw_text):
"""Парсим вакансии"""
try:
data = BeautifulSoup(raw_text, features='html.parser')
vacancies = data.find_all('div', class_='vacancy-serp-item')
all_vacancies = {}
for vacancy in vacancies:
vacancy_name = vacancy.find('a', class_='bloko-link')
if vacancy_name is not None:
vacancy_name = vacancy_name.text
else:
vacancy_name = None
vacancy_salary = vacancy.find('span', {"data-qa": "vacancy-serp__vacancy-compensation"})
if vacancy_salary is not None:
vacancy_salary = vacancy_salary.text
vacancy_salary = vacancy_salary.replace('\u202f', '')
else:
vacancy_salary = None
vacancy_employer = vacancy.find('a', {"data-qa": "vacancy-serp__vacancy-employer"})
if vacancy_employer is not None:
vacancy_employer = vacancy_employer.text
vacancy_employer = vacancy_employer.replace('\xa0', ' ')
else:
vacancy_employer = None
vacancy_responsibility = vacancy.find('div', {"data-qa": "vacancy-serp__vacancy_snippet_responsibility"})
if vacancy_responsibility is not None:
vacancy_responsibility = vacancy_responsibility.text
else:
vacancy_responsibility = None
vacancy_requirement = vacancy.find('div', {"data-qa": "vacancy-serp__vacancy_snippet_requirement"})
if vacancy_requirement is not None:
vacancy_requirement = vacancy_requirement.text
else:
vacancy_requirement = None
vacancy_date = vacancy.find('span',
class_='vacancy-serp-item__publication-date vacancy-serp-item__publication-date_short').text
vacancy_id = vacancy.find('a',
class_='bloko-button bloko-button_primary bloko-button_small bloko-button_rounded').get('href')
vacancy_id = int(re.sub(r'\D*', '', vacancy_id))
vacancy_link = f'https://hh.ru/vacancy/{vacancy_id}'
all_vacancies[vacancy_id] = {
'Название': str(vacancy_name),
'Зарплата': str(vacancy_salary),
'Дата': str(vacancy_date),
'Работодатель': str(vacancy_employer),
'Обязанности': str(vacancy_responsibility),
'Требования': str(vacancy_requirement),
'Cсылка': str(vacancy_link)
}
return all_vacancies
except Exception as e:
raise Exception(
f'Не удалось распарсить вакансии: {e}')
if __name__ == '__main__':
# html = get_page(URL_HH)
# vacancies = parse_vacancies(html)
vacancies = get_vacancies(URL_HH)
print(len(vacancies))
| [
1,
529,
276,
1112,
420,
29958,
517,
305,
309,
9089,
1564,
29914,
5510,
29918,
392,
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7620,
29918,
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] |
src/egl/generate/gen_egl_dispatch.py | thermasol/mesa3d | 0 | 136938 | <gh_stars>0
#!/usr/bin/env python
# (C) Copyright 2016, NVIDIA CORPORATION.
# All Rights Reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation
# on the rights to use, copy, modify, merge, publish, distribute, sub
# license, and/or sell copies of the Software, and to permit persons to whom
# the Software is furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice (including the next
# paragraph) shall be included in all copies or substantial portions of the
# Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL
# IBM AND/OR ITS SUPPLIERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
# IN THE SOFTWARE.
#
# Authors:
# <NAME> <<EMAIL>>
"""
Generates dispatch functions for EGL.
The list of functions and arguments is read from the Khronos's XML files, with
additional information defined in the module eglFunctionList.
"""
import argparse
import collections
import eglFunctionList
import sys
import textwrap
import os
NEWAPI = os.path.join(os.path.dirname(__file__), "..", "..", "mapi", "new")
sys.path.insert(0, NEWAPI)
import genCommon
def main():
parser = argparse.ArgumentParser()
parser.add_argument("target", choices=("header", "source"),
help="Whether to build the source or header file.")
parser.add_argument("xml_files", nargs="+", help="The XML files with the EGL function lists.")
args = parser.parse_args()
xmlFunctions = genCommon.getFunctions(args.xml_files)
xmlByName = dict((f.name, f) for f in xmlFunctions)
functions = []
for (name, eglFunc) in eglFunctionList.EGL_FUNCTIONS:
func = xmlByName[name]
eglFunc = fixupEglFunc(func, eglFunc)
functions.append((func, eglFunc))
# Sort the function list by name.
functions = sorted(functions, key=lambda f: f[0].name)
if args.target == "header":
text = generateHeader(functions)
elif args.target == "source":
text = generateSource(functions)
sys.stdout.write(text)
def fixupEglFunc(func, eglFunc):
result = dict(eglFunc)
if result.get("prefix") is None:
result["prefix"] = ""
if result.get("extension") is not None:
text = "defined(" + result["extension"] + ")"
result["extension"] = text
if result["method"] in ("none", "custom"):
return result
if result["method"] not in ("display", "device", "current"):
raise ValueError("Invalid dispatch method %r for function %r" % (result["method"], func.name))
if func.hasReturn():
if result.get("retval") is None:
result["retval"] = getDefaultReturnValue(func.rt)
return result
def generateHeader(functions):
text = textwrap.dedent(r"""
#ifndef G_EGLDISPATCH_STUBS_H
#define G_EGLDISPATCH_STUBS_H
#ifdef __cplusplus
extern "C" {
#endif
#include <EGL/egl.h>
#include <EGL/eglext.h>
#include "glvnd/libeglabi.h"
""".lstrip("\n"))
text += "enum {\n"
for (func, eglFunc) in functions:
text += generateGuardBegin(func, eglFunc)
text += " __EGL_DISPATCH_" + func.name + ",\n"
text += generateGuardEnd(func, eglFunc)
text += " __EGL_DISPATCH_COUNT\n"
text += "};\n"
for (func, eglFunc) in functions:
if eglFunc["inheader"]:
text += generateGuardBegin(func, eglFunc)
text += "{f.rt} EGLAPIENTRY {ex[prefix]}{f.name}({f.decArgs});\n".format(f=func, ex=eglFunc)
text += generateGuardEnd(func, eglFunc)
text += textwrap.dedent(r"""
#ifdef __cplusplus
}
#endif
#endif // G_EGLDISPATCH_STUBS_H
""")
return text
def generateSource(functions):
# First, sort the function list by name.
text = ""
text += '#include "egldispatchstubs.h"\n'
text += '#include "g_egldispatchstubs.h"\n'
text += "\n"
for (func, eglFunc) in functions:
if eglFunc["method"] not in ("custom", "none"):
text += generateGuardBegin(func, eglFunc)
text += generateDispatchFunc(func, eglFunc)
text += generateGuardEnd(func, eglFunc)
text += "\n"
text += "const char * const __EGL_DISPATCH_FUNC_NAMES[__EGL_DISPATCH_COUNT + 1] = {\n"
for (func, eglFunc) in functions:
text += generateGuardBegin(func, eglFunc)
text += ' "' + func.name + '",\n'
text += generateGuardEnd(func, eglFunc)
text += " NULL\n"
text += "};\n"
text += "const __eglMustCastToProperFunctionPointerType __EGL_DISPATCH_FUNCS[__EGL_DISPATCH_COUNT + 1] = {\n"
for (func, eglFunc) in functions:
text += generateGuardBegin(func, eglFunc)
if eglFunc["method"] != "none":
text += " (__eglMustCastToProperFunctionPointerType) " + eglFunc.get("prefix", "") + func.name + ",\n"
else:
text += " NULL, // " + func.name + "\n"
text += generateGuardEnd(func, eglFunc)
text += " NULL\n"
text += "};\n"
return text
def generateGuardBegin(func, eglFunc):
ext = eglFunc.get("extension")
if ext is not None:
return "#if " + ext + "\n"
else:
return ""
def generateGuardEnd(func, eglFunc):
if eglFunc.get("extension") is not None:
return "#endif\n"
else:
return ""
def generateDispatchFunc(func, eglFunc):
text = ""
if eglFunc.get("static"):
text += "static "
elif eglFunc.get("public"):
text += "PUBLIC "
text += textwrap.dedent(
r"""
{f.rt} EGLAPIENTRY {ef[prefix]}{f.name}({f.decArgs})
{{
typedef {f.rt} EGLAPIENTRY (* _pfn_{f.name})({f.decArgs});
""").lstrip("\n").format(f=func, ef=eglFunc)
if func.hasReturn():
text += " {f.rt} _ret = {ef[retval]};\n".format(f=func, ef=eglFunc)
text += " _pfn_{f.name} _ptr_{f.name} = (_pfn_{f.name}) ".format(f=func)
if eglFunc["method"] == "current":
text += "__eglDispatchFetchByCurrent(__EGL_DISPATCH_{f.name});\n".format(f=func)
elif eglFunc["method"] in ("display", "device"):
if eglFunc["method"] == "display":
lookupFunc = "__eglDispatchFetchByDisplay"
lookupType = "EGLDisplay"
else:
assert eglFunc["method"] == "device"
lookupFunc = "__eglDispatchFetchByDevice"
lookupType = "EGLDeviceEXT"
lookupArg = None
for arg in func.args:
if arg.type == lookupType:
lookupArg = arg.name
break
if lookupArg is None:
raise ValueError("Can't find %s argument for function %s" % (lookupType, func.name,))
text += "{lookupFunc}({lookupArg}, __EGL_DISPATCH_{f.name});\n".format(
f=func, lookupFunc=lookupFunc, lookupArg=lookupArg)
else:
raise ValueError("Unknown dispatch method: %r" % (eglFunc["method"],))
text += " if(_ptr_{f.name} != NULL) {{\n".format(f=func)
text += " "
if func.hasReturn():
text += "_ret = "
text += "_ptr_{f.name}({f.callArgs});\n".format(f=func)
text += " }\n"
if func.hasReturn():
text += " return _ret;\n"
text += "}\n"
return text
def getDefaultReturnValue(typename):
if typename.endswith("*"):
return "NULL"
elif typename == "EGLDisplay":
return "EGL_NO_DISPLAY"
elif typename == "EGLContext":
return "EGL_NO_CONTEXT"
elif typename == "EGLSurface":
return "EGL_NO_SURFACE"
elif typename == "EGLBoolean":
return "EGL_FALSE";
return "0"
if __name__ == "__main__":
main()
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] |
Chapter02/computation_graph.py | PacktPublishing/Caffe2-Quick-Start-Guide | 8 | 58885 | <reponame>PacktPublishing/Caffe2-Quick-Start-Guide<filename>Chapter02/computation_graph.py
#!/usr/bin/env python2
"""Create a network that perfoms some mathematical operations.
Run inference on this network."""
from caffe2.python import workspace, model_helper
import numpy as np
# Initialize Caffe2
workspace.GlobalInit(["caffe2",])
# Initialize a model with the name "Math model"
model = model_helper.ModelHelper("Math model")
# Add a matrix multiplication operator to the model.
# This operator takes blobs "A" and "B" as inputs and produces blob "C" as output.
model.net.MatMul(["A", "B"], "C")
# Add a Sigmoid operator to the model.
# This operator takes blob "C" as input and produces blob "D" as output.
model.net.Sigmoid("C", "D")
# Add a Softmax operator to the model.
# This operator takes blob "D" as input and produces blob "E" as output.
model.net.Softmax("D", "E", axis=0)
# Create input A, a 3x3 matrix initialized with some values
A = np.linspace(-0.4, 0.4, num=9, dtype=np.float32).reshape(3, 3)
# Create input B, a 3x1 matrix initialized with some values
B = np.linspace(0.01, 0.03, num=3, dtype=np.float32).reshape(3, 1)
# Feed A and B to the Caffe2 workspace as blobs.
# Provide names "A" and "B" for these blobs.
workspace.FeedBlob("A", A)
workspace.FeedBlob("B", B)
# Run the network inside the Caffe2 workspace.
workspace.RunNetOnce(model.net)
# Extract blob "E" from the workspace.
E = workspace.FetchBlob("E")
# Print inputs A and B and final output E
print "A:", A
print "B:", B
print "E:", E
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13,
29937,
910,
5455,
4893,
23755,
29879,
376,
29909,
29908,
322,
376,
29933,
29908,
408,
10970,
322,
13880,
23755,
376,
29907,
29908,
408,
1962,
29889,
13,
4299,
29889,
1212,
29889,
9782,
29924,
352,
29898,
3366,
29909,
613,
376,
29933,
12436,
376,
29907,
1159,
13,
13,
29937,
3462,
263,
15861,
29885,
3398,
5455,
304,
278,
1904,
29889,
13,
29937,
910,
5455,
4893,
23755,
376,
29907,
29908,
408,
1881,
322,
13880,
23755,
376,
29928,
29908,
408,
1962,
29889,
13,
4299,
29889,
1212,
29889,
29903,
335,
29885,
3398,
703,
29907,
613,
376,
29928,
1159,
13,
13,
29937,
3462,
263,
1105,
615,
3317,
5455,
304,
278,
1904,
29889,
13,
29937,
910,
5455,
4893,
23755,
376,
29928,
29908,
408,
1881,
322,
13880,
23755,
376,
29923,
29908,
408,
1962,
29889,
13,
4299,
29889,
1212,
29889,
6295,
615,
3317,
703,
29928,
613,
376,
29923,
613,
9685,
29922,
29900,
29897,
13,
13,
29937,
6204,
1881,
319,
29892,
263,
29871,
29941,
29916,
29941,
4636,
16601,
411,
777,
1819,
13,
29909,
353,
7442,
29889,
1915,
3493,
6278,
29900,
29889,
29946,
29892,
29871,
29900,
29889,
29946,
29892,
954,
29922,
29929,
29892,
26688,
29922,
9302,
29889,
7411,
29941,
29906,
467,
690,
14443,
29898,
29941,
29892,
29871,
29941,
29897,
13,
13,
29937,
6204,
1881,
350,
29892,
263,
29871,
29941,
29916,
29896,
4636,
16601,
411,
777,
1819,
13,
29933,
353,
7442,
29889,
1915,
3493,
29898,
29900,
29889,
29900,
29896,
29892,
29871,
29900,
29889,
29900,
29941,
29892,
954,
29922,
29941,
29892,
26688,
29922,
9302,
29889,
7411,
29941,
29906,
467,
690,
14443,
29898,
29941,
29892,
29871,
29896,
29897,
13,
13,
29937,
5169,
287,
319,
322,
350,
304,
278,
315,
3470,
29872,
29906,
664,
3493,
408,
23755,
29879,
29889,
13,
29937,
9133,
680,
2983,
376,
29909,
29908,
322,
376,
29933,
29908,
363,
1438,
23755,
29879,
29889,
13,
1287,
3493,
29889,
29737,
29933,
2127,
703,
29909,
613,
319,
29897,
13,
1287,
3493,
29889,
29737,
29933,
2127,
703,
29933,
613,
350,
29897,
13,
13,
29937,
7525,
278,
3564,
2768,
278,
315,
3470,
29872,
29906,
664,
3493,
29889,
13,
1287,
3493,
29889,
6558,
6779,
26222,
29898,
4299,
29889,
1212,
29897,
13,
13,
29937,
7338,
1461,
23755,
376,
29923,
29908,
515,
278,
664,
3493,
29889,
13,
29923,
353,
664,
3493,
29889,
20927,
29933,
2127,
703,
29923,
1159,
13,
13,
29937,
13905,
10970,
319,
322,
350,
322,
2186,
1962,
382,
13,
2158,
376,
29909,
29901,
613,
319,
13,
2158,
376,
29933,
29901,
613,
350,
13,
2158,
376,
29923,
29901,
613,
382,
13,
2
] |
DSA/backtracking/totalNQueens.py | lance-lh/Data-Structures-and-Algorithms | 1 | 1616321 | '''
The n-queens puzzle is the problem of placing n queens on an n×n chessboard
such that no two queens attack each other.
Given an integer n, return the number of distinct solutions to the n-queens puzzle.
Example:
Input: 4
Output: 2
Explanation: There are two distinct solutions to the 4-queens puzzle as shown below.
[
[".Q..", // Solution 1
"...Q",
"Q...",
"..Q."],
["..Q.", // Solution 2
"Q...",
"...Q",
".Q.."]
]
'''
'''
class Solution:
def totalNQueens(self, n):
# :param n: int
# :return: int
res = []
self.dfs([-1] * n, 0, [], res)
return len(res)
def dfs(self, nums, index, path, res):
if index == len(nums):
res.append(path)
return
for i in range(len(nums)):
nums[index] = i
if self.Isvalid(nums, index):
tmp = '.' * len(nums)
self.dfs(nums, index + 1, path + [tmp[:i] + 'Q' + tmp[i + 1:]], res)
def Isvalid(self, nums, n):
for i in range(n):
if abs(nums[i] - nums[n]) == n - i or nums[i] == nums[n]:
return False
return True
'''
# use global self.res to record result
# remove res and path from dfs paras
class Solution:
def totalNQueens(self, n):
'''
:param n: int
:return: int
'''
self.res = 0
self.dfs([-1]*n,0)
return self.res
def dfs(self,nums,index):
if index == len(nums):
self.res += 1
return
for i in range(len(nums)):
nums[index] = i
if self.Isvalid(nums,index):
self.dfs(nums,index+1)
def Isvalid(self,nums,n):
for i in range(n):
if abs(nums[i]-nums[n]) == n - i or nums[i] == nums[n]:
return False
return True
# test
if __name__ == 'main':
n = 4
print(Solution().totalNQueens(n)) | [
1,
14550,
13,
1576,
302,
29899,
802,
575,
20285,
280,
338,
278,
1108,
310,
24421,
302,
712,
575,
373,
385,
302,
30122,
29876,
521,
404,
3377,
13,
14565,
393,
694,
1023,
712,
575,
5337,
1269,
916,
29889,
13,
13,
29954,
5428,
385,
6043,
302,
29892,
736,
278,
1353,
310,
8359,
6851,
304,
278,
302,
29899,
802,
575,
20285,
280,
29889,
13,
13,
14023,
29901,
13,
13,
4290,
29901,
29871,
29946,
13,
6466,
29901,
29871,
29906,
13,
1252,
9018,
362,
29901,
1670,
526,
1023,
8359,
6851,
304,
278,
29871,
29946,
29899,
802,
575,
20285,
280,
408,
4318,
2400,
29889,
13,
1678,
518,
13,
268,
518,
1642,
29984,
636,
613,
29871,
849,
24380,
29871,
29896,
13,
418,
29804,
29984,
613,
13,
418,
376,
29984,
856,
613,
13,
418,
376,
636,
29984,
1213,
1402,
13,
13,
268,
6796,
636,
29984,
19602,
29871,
849,
24380,
29871,
29906,
13,
418,
376,
29984,
856,
613,
13,
418,
29804,
29984,
613,
13,
418,
11393,
29984,
636,
3108,
13,
1678,
4514,
13,
12008,
13,
13,
12008,
13,
1990,
24380,
29901,
13,
1678,
822,
3001,
29940,
8654,
575,
29898,
1311,
29892,
302,
1125,
13,
13,
4706,
396,
584,
3207,
302,
29901,
938,
13,
4706,
396,
584,
2457,
29901,
938,
13,
13,
4706,
620,
353,
5159,
13,
4706,
1583,
29889,
29069,
4197,
29899,
29896,
29962,
334,
302,
29892,
29871,
29900,
29892,
19997,
620,
29897,
13,
4706,
736,
7431,
29898,
690,
29897,
13,
13,
1678,
822,
4489,
29879,
29898,
1311,
29892,
954,
29879,
29892,
2380,
29892,
2224,
29892,
620,
1125,
13,
4706,
565,
2380,
1275,
7431,
29898,
1949,
29879,
1125,
13,
9651,
620,
29889,
4397,
29898,
2084,
29897,
13,
9651,
736,
13,
4706,
363,
474,
297,
3464,
29898,
2435,
29898,
1949,
29879,
22164,
13,
9651,
954,
29879,
29961,
2248,
29962,
353,
474,
13,
9651,
565,
1583,
29889,
3624,
3084,
29898,
1949,
29879,
29892,
2380,
1125,
13,
18884,
13128,
353,
525,
6169,
334,
7431,
29898,
1949,
29879,
29897,
13,
18884,
1583,
29889,
29069,
29898,
1949,
29879,
29892,
2380,
718,
29871,
29896,
29892,
2224,
718,
518,
7050,
7503,
29875,
29962,
718,
525,
29984,
29915,
718,
13128,
29961,
29875,
718,
29871,
29896,
17531,
1402,
620,
29897,
13,
13,
1678,
822,
1317,
3084,
29898,
1311,
29892,
954,
29879,
29892,
302,
1125,
13,
4706,
363,
474,
297,
3464,
29898,
29876,
1125,
13,
9651,
565,
6425,
29898,
1949,
29879,
29961,
29875,
29962,
448,
954,
29879,
29961,
29876,
2314,
1275,
302,
448,
474,
470,
954,
29879,
29961,
29875,
29962,
1275,
954,
29879,
29961,
29876,
5387,
13,
18884,
736,
7700,
13,
4706,
736,
5852,
13,
12008,
13,
29937,
671,
5534,
1583,
29889,
690,
304,
2407,
1121,
13,
29937,
3349,
620,
322,
2224,
515,
4489,
29879,
610,
294,
13,
1990,
24380,
29901,
13,
1678,
822,
3001,
29940,
8654,
575,
29898,
1311,
29892,
302,
1125,
13,
4706,
14550,
13,
4706,
584,
3207,
302,
29901,
938,
13,
4706,
584,
2457,
29901,
938,
13,
4706,
14550,
13,
4706,
1583,
29889,
690,
353,
29871,
29900,
13,
4706,
1583,
29889,
29069,
4197,
29899,
29896,
14178,
29876,
29892,
29900,
29897,
13,
4706,
736,
1583,
29889,
690,
13,
1678,
822,
4489,
29879,
29898,
1311,
29892,
1949,
29879,
29892,
2248,
1125,
13,
4706,
565,
2380,
1275,
7431,
29898,
1949,
29879,
1125,
13,
9651,
1583,
29889,
690,
4619,
29871,
29896,
13,
9651,
736,
13,
4706,
363,
474,
297,
3464,
29898,
2435,
29898,
1949,
29879,
22164,
13,
9651,
954,
29879,
29961,
2248,
29962,
353,
474,
13,
9651,
565,
1583,
29889,
3624,
3084,
29898,
1949,
29879,
29892,
2248,
1125,
13,
18884,
1583,
29889,
29069,
29898,
1949,
29879,
29892,
2248,
29974,
29896,
29897,
13,
13,
1678,
822,
1317,
3084,
29898,
1311,
29892,
1949,
29879,
29892,
29876,
1125,
13,
4706,
363,
474,
297,
3464,
29898,
29876,
1125,
13,
9651,
565,
6425,
29898,
1949,
29879,
29961,
29875,
29962,
29899,
1949,
29879,
29961,
29876,
2314,
1275,
302,
448,
474,
470,
954,
29879,
29961,
29875,
29962,
1275,
954,
29879,
29961,
29876,
5387,
13,
18884,
736,
7700,
13,
4706,
736,
5852,
13,
13,
29937,
1243,
13,
361,
4770,
978,
1649,
1275,
525,
3396,
2396,
13,
1678,
302,
353,
29871,
29946,
13,
1678,
1596,
29898,
13296,
918,
2141,
7827,
29940,
8654,
575,
29898,
29876,
876,
2
] |
tests/quality/service_catalog/test_service_catalog.py | opentelekomcloud-infra/test-scenarios | 1 | 113740 | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
import pytest
import os
#from tests.quality import base
from openstack import exceptions
import influxdb
testdata = [
('antiddos'),
('as'),
('asv1'),
('cce'),
('ccev2.0'),
('ces'),
('cesv1'),
('cesv1'),
('compute'),
('csbs'),
('css'),
('cts'),
('ctsv2'),
('data-protect'),
('database'),
('dcaas'),
('dcs'),
('dcsv1'),
('ddsv3'),
('deh'),
('dis'),
('disv2'),
('dms'),
('dmsv1'),
('dns'),
('dws'),
('dwsv1'),
('ecs'),
('elb'),
('elbv1'),
('evs'),
('identity'),
('image'),
('kms'),
('kmsv1'),
('lts'),
('mrs'),
('mrsv1'),
('nat'),
('network'),
('object-store'),
('orchestration'),
('plas'),
('rds'),
('rdsv3'),
('sdrs'),
('sharev2'),
('sfsturbo'),
('smn'),
('smnv2'),
('swr'),
('tms'),
('vbs'),
('vbsv2'),
('volume'),
('volumev2'),
('volumev3'),
('vpc'),
('vpc2.0'),
('vpcep'),
('waf'),
('wks'),
('workspace'),
]
class TestServiceCatalog:
@pytest.fixture(scope='module')
def influx_client(self):
host = os.environ.get('INFLUXDB_HOST', 'localhost')
port = int(os.environ.get('INFLUXDB_PORT', 8080))
user = os.environ.get('INFLUXDB_USER')
password = os.environ.get('INFLUXDB_PASSWORD')
database = os.environ.get('INFLUXDB_DATABASE', 'default')
influx = None
if host and port and user and password:
influx = influxdb.InfluxDBClient(
host, port, user, password, database,
ssl=True)
return influx
def get_catalog(self, conn):
return conn.config.get_service_catalog().catalog
def convert_catalog(self, catalog):
cat = {}
for rec in catalog:
entry_type = rec.get('type')
cat[entry_type] = rec
return cat
def test_validate_catalog_structure(self, conn, influx_client, token_catalog):
"""Verify catalog structure"""
cat = {}
for rec in token_catalog:
entry_type = rec.get('type')
if entry_type in cat:
valid = False
else:
valid = True
self.write_result(influx_client, entry_type,
'single_in_catalog', not valid)
cat[entry_type] = rec
self.write_result(influx_client, None,
'catalog_valid', not valid)
assert valid, "Service catalog is valid"
@pytest.fixture(scope='module')
def token_catalog(self, conn):
return self.get_catalog(conn)
@pytest.fixture(scope='module')
def normalized_catalog(self, conn, token_catalog):
return self.convert_catalog(token_catalog)
@pytest.mark.parametrize('service_type', testdata)
def test_service_available_in_region(
self, conn, influx_client, normalized_catalog,
service_type):
match = {}
regions = [x.id for x in conn.identity.regions()]
srv = normalized_catalog.get(service_type, {})
if not srv:
self.write_result(influx_client, service_type,
'service_in_catalog', True)
# assert srv, "Service present in the catalog"
if srv:
for ep in srv['endpoints']:
for reg in regions:
if ep['region_id'] == reg:
match[reg] = True
failed = False
if len(match.keys()) != len(regions):
failed = True
self.write_result(influx_client, service_type,
'endpoint_present_in_region', failed)
assert not failed, \
"Service known in all regions"
else:
self.write_result(influx_client, service_type,
'endpoint_present_in_region', True)
def write_result(self, influx_client, service, check, failed):
if influx_client:
fields = dict(
service=service,
failed=1 if failed else 0,
succeeded=0 if failed else 1
)
influx_client.write_points([
dict(
measurement='scmon',
fields=fields,
tags=dict(
service_type=service,
check=check,
status='failed' if failed else 'succeeded'
)
)
])
| [
1,
396,
10413,
21144,
1090,
278,
13380,
19245,
29892,
10079,
29871,
29906,
29889,
29900,
313,
1552,
376,
29931,
293,
1947,
1496,
366,
1122,
13,
29937,
451,
671,
445,
934,
5174,
297,
752,
13036,
411,
278,
19245,
29889,
887,
1122,
4017,
13,
29937,
263,
3509,
310,
278,
19245,
472,
13,
29937,
13,
29937,
418,
1732,
597,
1636,
29889,
4288,
29889,
990,
29914,
506,
11259,
29914,
27888,
1430,
1660,
29899,
29906,
29889,
29900,
13,
29937,
13,
29937,
25870,
3734,
491,
22903,
4307,
470,
15502,
304,
297,
5007,
29892,
7047,
13,
29937,
13235,
1090,
278,
19245,
338,
13235,
373,
385,
376,
3289,
8519,
29908,
350,
3289,
3235,
29892,
399,
1806,
8187,
2692,
13,
29937,
399,
1718,
29934,
13566,
29059,
6323,
8707,
29928,
22122,
29903,
8079,
13764,
29979,
476,
22255,
29892,
2845,
4653,
470,
2411,
2957,
29889,
2823,
278,
13,
29937,
19245,
363,
278,
2702,
4086,
14765,
1076,
11239,
322,
27028,
13,
29937,
1090,
278,
19245,
29889,
13,
5215,
11451,
1688,
13,
5215,
2897,
13,
29937,
3166,
6987,
29889,
29567,
1053,
2967,
13,
13,
3166,
1722,
1429,
1053,
15283,
13,
13,
5215,
4414,
1314,
2585,
13,
13,
13,
1688,
1272,
353,
518,
13,
1678,
6702,
424,
2205,
359,
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aiolookin/__init__.py | bachya/aiolookin | 0 | 8420 | """Define the aiolookin package."""
from .device import async_get_device # noqa
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appconf/forms.py | flixgithub/adminset | 0 | 1600767 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
from django import forms
from django.forms.widgets import *
from .models import Product, Project, AppOwner, AuthInfo, Product_Detail
class AuthInfoForm(forms.ModelForm):
class Meta:
model = AuthInfo
exclude = ("id",)
widgets = {
'dis_name': TextInput(attrs={'class': 'form-control', 'style': 'width:450px;'}),
'username': TextInput(attrs={'class': 'form-control', 'style': 'width:450px;'}),
'password': TextInput(attrs={'class': 'form-control', 'type': 'password', 'style': 'width:450px'}),
'private_key': TextInput(attrs={'class': 'form-control', 'style': 'width:450px;'}),
'memo': TextInput(attrs={'class': 'form-control', 'style': 'width:450px;'}),
}
class AppOwnerForm(forms.ModelForm):
class Meta:
model = AppOwner
exclude = ("id",)
widgets = {
'name': TextInput(attrs={'class': 'form-control','style': 'width:450px;'}),
'phone': TextInput(attrs={'class': 'form-control','style': 'width:450px'}),
'qq': TextInput(attrs={'class': 'form-control','style': 'width:450px;'}),
'weChat': TextInput(attrs={'class': 'form-control','style': 'width:450px;'}),
}
class ProductForm(forms.ModelForm):
class Meta:
model = Product
exclude = ("id",)
widgets = {
'name': TextInput(attrs={'class': 'form-control','style': 'width:450px;'}),
'description': Textarea(attrs={'class': 'form-control','style': 'width:450px; height:100px'}),
'owner': Select(attrs={'class': 'form-control','style': 'width:450px;'}),
}
class Product_Detail_Form(forms.ModelForm):
class Meta:
model = Product_Detail
exclude = ("id",)
widgets = {
'app_name': TextInput(attrs={'class': 'form-control', 'style': 'width:450px;'}),
'ip_address': TextInput(attrs={'class': 'form-control', 'style': 'width:450px;'}),
'app_port': TextInput(attrs={'class': 'form-control', 'style': 'width:450px;'}),
'env': Select(choices=(('cloud_dev','cloud_dev'),('cloud_qa','cloud_qa'),('cloud_pp','cloud_pp'),('cloud_prd','cloud_prd'),
('psa_dev','psa_dev'),('psa_qa','psa_qa'), ('psa_pp','psa_pp'), ('psa_prd','psa_prd'),
('fd_dev','fd_dev'), ('fd_qa','fd_qa'), ('fd_pp','fd_pp'), ('fd_prd','fd_prd'),
('gz_dev','gz_dev'), ('gz_qa','gz_qa'), ('gz_pp','gz_pp'), ('gz_prd','gz_prd'),
('wl_dev','wl_dev'), ('wl_qa','wl_qa'), ('wl_pp','wl_pp'), ('wl_prd','wl_prd'),
),
attrs={'class': 'form-control', 'style': 'width:450px;'}),
'deploy_method': Select(choices=(('war','war'),('jar','jar'),('container','container'),('shell','shell'),('na','n/a')),
attrs={'class': 'form-control', 'style': 'width:450px;'}),
}
class ProjectForm(forms.ModelForm):
class Meta:
model = Project
exclude = ("id",)
widgets = {
'name': TextInput(attrs={'class': 'form-control','style': 'width:450px;'}),
'description': Textarea(attrs={'class': 'form-control','style': 'width:450px; height:100px'}),
'language_type': Select(attrs={'class': 'form-control','style': 'width:450px;'}),
'app_type': Select(attrs={'class': 'form-control','style': 'width:450px;'}),
'server_type': Select(attrs={'class': 'form-control','style': 'width:450px;'}),
'app_arch': Select(attrs={'class': 'form-control','style': 'width:450px;'}),
'appPath': TextInput(attrs={'class': 'form-control','style': 'width:450px;'}),
'source_type': Select(attrs={'class': 'form-control','style': 'width:450px;'}),
'source_address': TextInput(attrs={'class': 'form-control','style': 'width:450px;'}),
'configPath': TextInput(attrs={'class': 'form-control','style': 'width:450px;'}),
'product': Select(attrs={'class': 'form-control','style': 'width:450px;'}),
'owner': Select(attrs={'class': 'form-control','style': 'width:450px;'}),
'serverList': forms.SelectMultiple(attrs={'class': 'form-control', 'size':'10', 'multiple': 'multiple'}),
}
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] |
src/bbdata/endpoint/output/objects.py | big-building-data/bbdata-python | 0 | 11421 | import requests
from bbdata.config import output_api_url
from bbdata.util import handle_response
class Objects:
base_path = "/objects"
auth = None
def __init__(self, auth):
self.auth = auth
def get_all(self, tags=None, search=None, page=None, per_page=None,
writable=False):
"""
Get the list of accessible objects.
GET /objects
https://bbdata.daplab.ch/api/#objects_get
"""
params = {
"tags": tags,
"search": search,
"page": page,
"perPage": per_page,
"writable": writable,
}
url = output_api_url + self.base_path
r = requests.get(url, params, headers=self.auth.headers)
return handle_response(r.status_code, r.json())
def put(self, name, unit_symbol, owner, description=None):
"""
Create a new object.
PUT /objects
https://bbdata.daplab.ch/api/#objects_put
"""
json = {
"name": name,
"description": description,
"unitSymbol": unit_symbol,
'owner': owner
}
url = output_api_url + self.base_path
r = requests.put(url, json=json, headers=self.auth.headers)
return handle_response(r.status_code, r.json())
def get(self, object_id):
"""
Get an object.
GET /objects/{objectIs}
https://bbdata.daplab.ch/api/#objects__objectid__get
"""
url = output_api_url + self.base_path + "/" + str(object_id)
r = requests.get(url, headers=self.auth.headers)
# return ObjectResponse(r.json())
return handle_response(r.status_code, r.json())
def post(self, object_id, data):
"""
Edit the name and/or the description of the object.
Only the properties appearing in the body will be modified.
POST /objects/{objectId}
https://bbdata.daplab.ch/api/#objects__objectid__post
"""
# TODO The data to send isn't define in the API Docs
url = output_api_url + self.base_path + "/" + str(object_id)
r = requests.post(url, data, headers=self.auth.headers)
return handle_response(r.status_code, r.json())
def delete(self, object_id):
"""
Delete the object with the given id
POST /objects/{objectId}
https://bbdata.daplab.ch/api/#objects__objectid__delete
"""
# TODO This method is in the Postman profile but isn't in the docs
url = output_api_url + self.base_path + "/" + str(object_id)
r = requests.delete(url, headers=self.auth.headers)
return handle_response(r.status_code, r.json())
def post_disable(self, object_id):
"""
Disable this object. All associated tokens will be removed.
POST /objects/{objectId}/disable
https://bbdata.daplab.ch/api/#objects__objectid__disable_post
"""
url = output_api_url + self.base_path + "/" + str(object_id) \
+ "/disable"
r = requests.post(url, headers=self.auth.headers)
return handle_response(r.status_code, True)
def post_enable(self, object_id):
"""
Enable this object.
POST /objects/{objectId}/enable
https://bbdata.daplab.ch/api/#objects__objectid__enable_post
"""
url = output_api_url + self.base_path + "/" + str(object_id) \
+ "/enable"
r = requests.post(url, headers=self.auth.headers)
return handle_response(r.status_code, True)
def get_tokens(self, object_id, description=None):
"""
Get the list of tokens for the object. A token is used to submit new
measures (see input-api).
An optional description can be passed in the
body (max 65 characters).
GET /objects/{objectId}/tokens
https://bbdata.daplab.ch/api/#objects__objectid__tokens_get
"""
# TODO The API docs says it's possible to pass an optional description
# but it looks like it's a mistake for a GET request...
url = output_api_url + self.base_path + "/" + str(object_id) \
+ "/tokens"
json = {
"description": description
}
r = requests.get(url, json, headers=self.auth.headers)
return handle_response(r.status_code, r.json())
def put_tokens(self, object_id):
"""
Generate a new secured token.
PUT /objects/{objectId}/tokens
https://bbdata.daplab.ch/api/#objects__objectid__tokens_put
"""
# TODO The optional description should probably be added in this
# method
url = output_api_url + self.base_path + "/" + str(object_id) \
+ "/tokens"
r = requests.put(url, headers=self.auth.headers)
return handle_response(r.status_code, r.json())
def post_tokens(self, object_id, description):
"""
Edit the token's description.
POST /objects/{objectId}/tokens
https://bbdata.daplab.ch/api/#objects__objectid__tokens_post
"""
url = output_api_url + self.base_path + "/" + str(object_id) \
+ "/tokens"
json = {
"description": description
}
r = requests.post(url, json=json, headers=self.auth.headers)
return handle_response(r.status_code, r.json())
def delete_tokens(self, object_id, token_id):
"""
Revoke a token.
DELETE /objects/{objectId}/tokens
https://bbdata.daplab.ch/api/#objects__objectid__tokens_delete
"""
url = output_api_url + self.base_path + "/" + str(object_id) \
+ "/tokens"
params = {
"tokenId": token_id
}
r = requests.delete(url, params=params, headers=self.auth.headers)
return handle_response(r.status_code, True)
def put_tags(self, object_id, tags):
"""
Add tags to the object.
PUT /objects/{objectId}/tags
https://bbdata.daplab.ch/api/#objects__objectid__tags_put
"""
url = output_api_url + self.base_path + "/" + str(object_id) \
+ "/tags"
params = {
"tags": tags
}
r = requests.put(url, params=params, headers=self.auth.headers)
return handle_response(r.status_code, True)
def delete_tags(self, object_id, tags):
"""
Remove tags.
DELETE /objects/{objectId}/tags
https://bbdata.daplab.ch/api/#objects__objectid__tags_delete
"""
url = output_api_url + self.base_path + "/" + str(object_id) \
+ "/tags"
params = {
"tags": tags
}
r = requests.put(url, params=params, headers=self.auth.headers)
return handle_response(r.status_code, True)
def get_comments(self, object_id):
"""
Get all comments attached to this object. Use the /comments endpoint
for more actions.
GET /objects/{objectId}/comments
https://bbdata.daplab.ch/api/#objects__objectid__comments_get
"""
url = output_api_url + self.base_path + "/" + str(object_id) \
+ "/comments"
r = requests.get(url, headers=self.auth.headers)
return handle_response(r.status_code, r.json())
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] |
src/config/settings.py | d3dmenu/crypto-master | 0 | 120566 | <gh_stars>0
import os
import sys
import environ
env = environ.Env()
# API Coin market cap
API_KEY = env.str('API_KEY', '6cf06008-f1d3-45b2-9555-3ff76eec016e')
# Base url path data forex realtime scraping
urls = {
'forex-market': 'https://scanner.tradingview.com/forex/scan',
'coin-market-all': 'https://pro-api.coinmarketcap.com/v1/cryptocurrency/listings/latest', # get all crypto coin
'coin-market': 'https://pro-api.coinmarketcap.com/v1/cryptocurrency/quotes/latest' # specific check quote coin
}
# Line Developer
LINE_API = env.str('LINE_API', 'https://api.line.me/v2/bot/message/reply')
CHANNEL_SECRET = env.str('CHANNEL_SECRET', '<KEY>')
CHANNEL_ACCESS_TOKEN = env.str('CHANNEL_ACCESS_TOKEN',
'<KEY>
# Settings delay for request api
DELAY_REQUEST = env.int('DELAY_REQUEST', 60)
DELAY_FOREX = env.int('DELAY_FOREX', 5)
# Load task from csv
DATABASE = env.str('DATABASE', 'schedules.csv')
# Forex currency list
CURRENCY = [
'AUDCHF', 'AUDGBP', 'AUDNZD', 'CADCHF', 'CADJPY', 'CHFJPY', 'EURCHF', 'EURNZD',
'GBPCHF', 'NZDCAD', 'NZDCHF', 'NZDJPY', 'NZDUSD', 'USDCAD', 'USDCHF', 'USDJPY',
'AUDCAD', 'AUDJPY', 'AUDUSD', 'EURAUD', 'EURCAD', 'EURBGP', 'EURJPY', 'EURUSD',
'GBPAUD', 'GBPCAD', 'GBPJPY', 'USDJPY', 'NZDUSD'
]
# Firebase SDK
SCHEDULES_COLLECTION = env.str('SCHEDULES_COLLECTION', 'schedules')
# Customize Message from python
# Because the delivery of messages in dialogflow is a little delayed, python is utilized instead.
CUSTOM_MESSAGE = [
'ระบบกำลังประมวล รอสักครู่ครับ', 'กรุณารอสักครู่ ระบบใช้เวลาไม่เกิน 1 นาที', 'ระบบกำลังประมวลผลคู่เงินทุก Timeframe ใช้เวลาไม่เกิน 1 นาทีครับ',
'รอสักครู่ครับ กำลังวิเคราะห์คู่เงิน เมื่อพร้อมแล้วจะส่งลิสต์ข้อมูลให้ครับ', 'กรุณารอสักครู่ ระบบใช้เวลา 1 นาที ในการวิเคราะห์คู่เงินที่มี Volume เทรดสูงมาให้ท่านอยู่',
'กรุณารอสักครู่ ระบบกำลังประมวลผลคู่เงิน', 'ได้ครับ รอระบบประมวลผลสักครู่นะครับ'
]
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] |
apps/plugins/__init__.py | jiangyx3915/-graph-bed | 10 | 108103 | <gh_stars>1-10
#!/usr/bin/python
# -*- coding: utf-8 -*-
"""
__author__= 'jiangyixin'
__time__ = 2019/2/25 22:11
"""
from .smms import SmPlugin
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tests/validation_suite/automation_framework/work_order_submit/work_order_submit_utility.py | manojsalunke85/avalon0.6_automaiton | 0 | 123973 | <reponame>manojsalunke85/avalon0.6_automaiton
# Copyright 2019 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import pytest
import time
import json
import logging
from error_code.error_status import SignatureStatus
from automation_framework.utilities.workflow import submit_request
from automation_framework.utilities.workflow import validate_response_code
from automation_framework.work_order_submit.work_order_submit_params \
import WorkOrderSubmit
import crypto_utils.crypto_utility as enclave_helper
import crypto_utils.signature as signature
logger = logging.getLogger(__name__)
def submit_work_order(input_request, request_mode, tamper,
output_json_file_name,
uri_client, worker_obj,
request_method, private_key, err_cd):
""" Function to submit work order
Read input request from string or object and submit request.
Uses WorkOrderSubmit class definition to initialize work order object.
Triggers submit_request, validate_response_code,
Returns - error code, input_json_str1, response, submiting_time,
worker_obj, sig_obj, encrypted_session_key. """
response = {}
if err_cd == 0:
# --------------------------------------------------------------------
logger.info("------ Testing WorkOrderSubmit ------")
if request_mode == "object":
input_work_order = json.loads(input_request.to_string())
else:
# create work order request
wo_obj = WorkOrderSubmit()
wo_obj.add_json_values(input_request, worker_obj, private_key,
tamper)
input_work_order = wo_obj.compute_signature(tamper)
logger.info('Compute Signature complete \n')
input_json_str1 = json.loads(input_work_order)
response = submit_request(uri_client, input_json_str1,
output_json_file_name)
err_cd = validate_response_code(response)
else:
logger.info('ERROR: No Worker Retrieved from system.\
Unable to proceed to submit work order.')
response_tup = (err_cd, input_json_str1, response,
wo_obj.session_key, wo_obj.session_iv,
wo_obj.get_encrypted_session_key())
return response_tup
def verify_work_order_signature(response, worker_obj):
verify_key = worker_obj.verification_key
try:
verify_obj = signature.ClientSignature()
sig_bool = verify_obj.verify_signature(response, verify_key)
if sig_bool is SignatureStatus.PASSED:
err_cd = 0
logger.info('Success: Work Order Signature Verified.')
else:
err_cd = 1
logger.info('ERROR: Work Order Signature Verification Failed')
except Exception:
err_cd = 1
logger.error('ERROR: Failed to analyze Signature Verification')
return err_cd
def decrypt_work_order_response(response, session_key, session_iv):
decrypted_data = ""
try:
decrypted_data = enclave_helper.decrypted_response(response,
session_key,
session_iv)
err_cd = 0
logger.info('Success: Work Order Response Decrypted.\n\n')
except Exception:
err_cd = 1
logger.info('ERROR: Work Order Response Decryption Failed')
return err_cd, decrypted_data
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] |
tests/app/timeout_test.py | paraguz1/voila | 0 | 161055 | import pytest
import os
@pytest.fixture
def voila_notebook(notebook_directory):
return os.path.join(notebook_directory, 'sleep.ipynb')
@pytest.fixture
def voila_args_extra():
return ['--VoilaExecutePreprocessor.timeout=1', '--KernelManager.shutdown_wait_time=0.1']
@pytest.mark.gen_test
def test_timeout(http_client, base_url):
response = yield http_client.fetch(base_url)
html_text = response.body.decode('utf-8')
assert 'Cell execution timed out' in html_text
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windows_packages_gpu/torch/nn/intrinsic/qat/modules/linear_relu.py | codeproject/DeepStack | 353 | 8207 | from __future__ import absolute_import, division, print_function, unicode_literals
import torch.nn.qat as nnqat
import torch.nn.intrinsic
import torch.nn.functional as F
class LinearReLU(nnqat.Linear):
r"""
A LinearReLU module fused from Linear and ReLU modules, attached with
FakeQuantize modules for output activation and weight, used in
quantization aware training.
We adopt the same interface as :class:`torch.nn.Linear`.
Similar to `torch.nn.intrinsic.LinearReLU`, with FakeQuantize modules initialized to
default.
Attributes:
activation_post_process: fake quant module for output activation
weight: fake quant module for weight
Examples::
>>> m = nn.qat.LinearReLU(20, 30)
>>> input = torch.randn(128, 20)
>>> output = m(input)
>>> print(output.size())
torch.Size([128, 30])
"""
_FLOAT_MODULE = torch.nn.intrinsic.LinearReLU
def __init__(self, in_features, out_features, bias=True,
qconfig=None):
super(LinearReLU, self).__init__(in_features, out_features, bias, qconfig)
def forward(self, input):
return self.activation_post_process(F.relu(
F.linear(input, self.weight_fake_quant(self.weight), self.bias)))
@classmethod
def from_float(cls, mod, qconfig=None):
return super(LinearReLU, cls).from_float(mod, qconfig)
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src/model/gmf.py | AmazingDD/IF4RecSys | 2 | 161324 | import torch
from tools.engine import Engine
from tools.config import use_cuda
class GMF(torch.nn.Module):
def __init__(self, config):
super(GMF, self).__init__()
self.num_users = config['num_users']
self.num_items = config['num_items']
self.latent_dim = config['latent_dim']
self.embedding_user = torch.nn.Embedding(num_embeddings=self.num_users, embedding_dim=self.latent_dim)
self.embedding_item = torch.nn.Embedding(num_embeddings=self.num_items, embedding_dim=self.latent_dim)
self.affine_output = torch.nn.Linear(in_features=self.latent_dim, out_features=1)
self.logistic = torch.nn.Sigmoid()
def forward(self, user_indices, item_indices):
user_embedding = self.embedding_user(user_indices)
item_embedding = self.embedding_item(item_indices)
element_product = torch.mul(user_embedding, item_embedding)
logits = self.affine_output(element_product)
rating = self.logistic(logits)
return rating
def init_weight(self):
pass
class GMFEngine(Engine):
'''Engine for training & evaluating GMF model'''
def __init__(self, config):
self.model = GMF(config)
if config['use_cuda'] is True:
use_cuda(True, config['device_id'])
self.model.cuda()
super(GMFEngine, self).__init__(config)
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tool/plugins/database/__init__.py | eherr/motion_preprocessing_tool | 10 | 63547 | <reponame>eherr/motion_preprocessing_tool
import os
import json
from tool.plugins.database.constants import DB_URL
from tool.core.editor_window import EditorWindow
from tool.core.application_manager import ApplicationManager
from tool.constants import CONFIG_FILE
if os.path.isfile(CONFIG_FILE):
from tool.plugins.database.constants import set_constants_from_file
set_constants_from_file(CONFIG_FILE)
from tool.plugins.database.gui import MotionDBBrowserDialog, GraphTableViewDialog, UploadMotionDialog, LoginDialog, SynchronizeSkeletonsWithDBDialog
from tool.plugins.database.session_manager import SessionManager
from anim_utils.utilities.db_interface import replace_motion_in_db
EditorWindow.add_plugin_object("session_manager", SessionManager)
EditorWindow.add_plugin_object("motion_db_browser_dialog", None)
def open_motion_db_browser():
""" https://stackoverflow.com/questions/38309803/pyqt-non-modal-dialog-always-modal """
if EditorWindow.instance.motion_db_browser_dialog is None:
EditorWindow.instance.motion_db_browser_dialog = MotionDBBrowserDialog(ApplicationManager.instance.scene, parent=EditorWindow.instance)
else:
EditorWindow.instance.motion_db_browser_dialog.raise_()
EditorWindow.instance.motion_db_browser_dialog.activateWindow()
def synchronize_skeletons_from_db():
synchronize_skeletons = SynchronizeSkeletonsWithDBDialog()
synchronize_skeletons.exec_()
def load_graph_from_db():
dialog = GraphTableViewDialog(ApplicationManager.instance.scene)
dialog.exec_()
def upload_motions_to_db():
controller_list = []
node_ids = EditorWindow.instance.getSelectedSceneObjects()
for node_id in node_ids:
o = ApplicationManager.instance.scene.getObject(node_id)
if "animation_controller" in o._components:
controller_list.append(o._components["animation_controller"])
if len(controller_list) > 0:
dialog = UploadMotionDialog(controller_list)
dialog.exec_()
if dialog.success:
print("success")
def login_to_server():
login_dialog = LoginDialog()
login_dialog.exec_()
if login_dialog.success:
user = login_dialog.user
password = <PASSWORD>_dialog.password
EditorWindow.instance.session_manager.login(user, password)
actions = [ {"text": "Login", "function": login_to_server},
{"text": "Open Motion DB Browser", "function": open_motion_db_browser},
{"text": "Open Graph Browser", "function" : load_graph_from_db},
{"text": "Upload Selected Motions", "function": upload_motions_to_db},
{"text": "Synchronize Skeleton Definitions", "function": synchronize_skeletons_from_db}
]
EditorWindow.add_menu("Database", actions)
def create_section_dict_from_annotation(annotations):
motion_sections = dict()
for label, sections in annotations.items():
motion_sections[label] = []
for sub_section in sections:
sub_section.sort()
section_dict = dict()
section_dict["start_idx"] = sub_section[0]
section_dict["end_idx"] = sub_section[-1]
motion_sections[label].append(section_dict)
return motion_sections
def upload_motion_to_db(widget):
node_id = widget._controller.scene_object.node_id
if "data_base_ids" in widget._controller.scene_object.scene.internal_vars and node_id in widget._controller.scene_object.scene.internal_vars["data_base_ids"]:
collection, motion_id, is_processed = widget._controller.scene_object.scene.internal_vars["data_base_ids"][node_id]
bvh_name = widget._controller.scene_object.name
motion_data = widget._controller.get_json_data()
skeleton_model_name = str(widget.skeletonModelComboBox.currentText())
print("replace motion clip with id",motion_id, "and name", bvh_name, collection,is_processed)
meta_info = dict()
if len(widget._controller._motion._semantic_annotation) >0:
meta_info["sections"] = create_section_dict_from_annotation(widget._controller._motion._semantic_annotation)
if is_processed and widget._controller._motion._time_function is not None:
meta_info["time_function"] = widget._controller._motion._time_function
else:
is_processed = False
if len(meta_info) > 0:
meta_info_str = json.dumps(meta_info)
else:
meta_info_str = ""
replace_motion_in_db(DB_URL, motion_id, bvh_name, motion_data, collection, skeleton_model_name, meta_info_str, is_processed, session=EditorWindow.instance.session)
else:
dialog = UploadMotionDialog([widget._controller])
dialog.exec_()
if dialog.success:
print("success")
EditorWindow.add_widget_button("animation_player", "UpdateMotionInDB", upload_motion_to_db)
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src/Record.py | Progitiel/Slideways | 0 | 163248 | <reponame>Progitiel/Slideways<filename>src/Record.py
import numpy as np
import time
import os
from Config import *
class Record():
def __init__(self, app):
"""Initialise les données d'un enregistrement"""
self.app = app
self.recording = False
self.allBoards = None
self.currentBoards = self.__initData()
self.fileName = time.strftime("%d-%m-%Y %Hh%Mm%Ss", time.localtime())
def __initData(self):
"""Plateau initial"""
ml = [-1 for x in range(BOARD_SIZE-1)]
ca = [0 for l in range(BOARD_SIZE)]
mr = [-1 for x in range(BOARD_SIZE-1)]
return np.array([[ml + ca + mr for l in range(BOARD_SIZE)]], dtype=int)
def startRecord(self):
"""Démarre l'enregistrement"""
self.recording = True
def isRecording(self):
"""Enregistre ?"""
return self.recording
def newGame(self):
"""Initialise une nouvelle partie"""
if self.allBoards is None:
self.allBoards = [np.array(self.currentBoards, dtype=int)]
else:
self.allBoards.append(self.currentBoards)
self.currentBoards = self.__initData()
def addBoard(self, newData):
"""Ajoute un plateau"""
self.currentBoards = np.append(self.currentBoards, [newData], axis=0)
if self.recording:
self.__save()
def getCurrentBoard(self):
"""Donne tout les plateaux de la partie en cours"""
return self.currentBoards
def close(self):
"""Arrête l'enregistrement"""
self.newGame()
self.__save()
def __save(self):
"""Enregistre les données"""
playerMode = self.app.playerMode
playerNames = self.app.getPlayerName()
path = os.getcwd() + '\\Replay'
fullPath = path + "\\" + self.fileName
if not os.path.isdir(path):
try:
os.mkdir(path)
except Exception as e:
pass
if os.path.exists(fullPath + '.slideways'):
try:
os.remove(fullPath + '.slideways')
except Exception as e:
pass
np.save(fullPath, [playerMode, playerNames, self.allBoards])
os.rename(fullPath + ".npy", "Replay\\" + self.fileName + '.slideways')
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] |
scripts/view/view_image.py | fdesjardins/surface-estimation-and-image-relighting | 9 | 93599 | <gh_stars>1-10
import os
import sys
import numpy as np
from OpenGL.arrays import vbo
from OpenGL.arrays import ArrayDatatype as ADT
from OpenGL.GL.ARB.vertex_buffer_object import *
from OpenGL.GL import *
from OpenGL.GLUT import *
from OpenGL.GLU import *
from scipy.spatial import Delaunay
from Image import open
def initFunc():
initGL()
def initData():
global rP
#load texture
im = open(sys.argv[1])
try:
ix, iy, image = im.size[0], im.size[1], im.tostring("raw", "RGBA", 0, -1)
except SystemError:
ix, iy, image = im.size[0], im.size[1], im.tostring("raw", "RGBX", 0, -1)
rP.texID = glGenTextures(1)
glBindTexture(GL_TEXTURE_2D, rP.texID)
glPixelStorei(GL_UNPACK_ALIGNMENT,1)
glTexImage2D(
GL_TEXTURE_2D, 0, 3, ix, iy, 0,
GL_RGBA, GL_UNSIGNED_BYTE, image
)
texl,text,texr,texb = 0.0,1.0,1.0,0.0
left,top,right,bottom = -1.0,1.0,1.0,-1.0
vtxs = np.array([
(left,top,0.0),
(right,top,0.0),
(right,bottom,0.0),
(left,bottom,0.0)
],'f')
triang = Delaunay(vtxs[:,0:2])
interleaved = np.array([
texl,text, left,top,0.0,
texr,text, right,top,0.0,
texr,texb, right,bottom,0.0,
texl,text, left,top,0.0,
texr,texb, right,bottom,0.0,
texl,texb, left,bottom,0.0,
],'f')
print interleaved
norms = np.array([(0.0,0.0,1.0) for _ in vtxs], dtype=np.float32)
rP.points = vbo.VBO(interleaved)
rP.indices = np.array(triang.vertices, dtype=np.ubyte).flatten()
#print len(vtxs),len(rP.indices)
rP.normals = vbo.VBO(norms)
rP.cnt = len(vtxs)
zero = (0,0,0,0)
one = (1,1,1,1)
lpos = (0,0,1,0)
def initGL():
glClearColor(0.0, 0.0, 0.0, 0.0)
glClearDepth(1.0)
glColor3f(1.0, 1.0, 1.0)
glPointSize(1.0)
glEnable(GL_DEPTH_TEST)
glDepthFunc(GL_LESS)
glShadeModel(GL_SMOOTH)
glEnable(GL_NORMALIZE)
glEnable(GL_COLOR_MATERIAL)
glColorMaterial(GL_FRONT_AND_BACK, GL_AMBIENT_AND_DIFFUSE)
glEnable(GL_LIGHTING)
glEnable(GL_LIGHT0)
glLightfv(GL_LIGHT0, GL_AMBIENT, zero)
glLightfv(GL_LIGHT0, GL_DIFFUSE, one)
glLightfv(GL_LIGHT0, GL_SPECULAR, one)
glLightfv(GL_LIGHT0, GL_POSITION, lpos)
glMatrixMode(GL_PROJECTION)
glLoadIdentity()
gluPerspective(45.0, 1.0, .1, 100.0)
glMatrixMode(GL_MODELVIEW)
glLoadIdentity()
gluLookAt(0.0,0.0,1.0, 0.0,0.0,0.0, 0.0,0.0,1.0)
def displayFunc1():
global rP
glClear(GL_COLOR_BUFFER_BIT | GL_DEPTH_BUFFER_BIT)
glLoadIdentity()
#glTranslatef(0.0, 0.0, -3.0)
glPushMatrix()
#glRotatef(rP.rVec[0], 1,0,0)
#glRotatef(rP.rVec[1], 0,1,0)
#glRotatef(rP.rVec[2], 0,0,1)
#glTranslatef(rP.tVec[0], rP.tVec[1], rP.tVec[2])
#glScalef(rP.sVec[0], rP.sVec[1], rP.sVec[2])
glTranslatef(rP.tVec[0], rP.tVec[1], rP.tVec[2])
glRotatef(rP.rVec[0], 1,0,0)
glRotatef(rP.rVec[1], 0,1,0)
glRotatef(rP.rVec[2], 0,0,1)
try:
glEnable(GL_TEXTURE_2D)
glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MAG_FILTER, GL_NEAREST)
glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MIN_FILTER, GL_NEAREST)
glTexEnvf(GL_TEXTURE_ENV, GL_TEXTURE_ENV_MODE, GL_DECAL)
glBindTexture(GL_TEXTURE_2D, rP.texID)
rP.points.bind()
try:
glEnableClientState(GL_VERTEX_ARRAY)
glEnableClientState(GL_TEXTURE_COORD_ARRAY_EXT)
glEnableClientState(GL_TEXTURE_COORD_ARRAY)
glTexCoordPointer(2, GL_FLOAT, 20, rP.points)
glVertexPointer(3, GL_FLOAT, 20, rP.points+8)
#glVertexPointerf(rP.points)
glDrawArrays(GL_TRIANGLES, 0, rP.cnt*2)
finally:
glDisableClientState(GL_VERTEX_ARRAY)
glDisableClientState(GL_TEXTURE_COORD_ARRAY)
glDisableClientState(GL_TEXTURE_COORD_ARRAY_EXT)
finally:
#rP.normals.unbind()
rP.points.unbind()
glDisable(GL_TEXTURE_2D)
glPopMatrix()
glutSwapBuffers()
def displayFunc2():
global rP
glClear(GL_COLOR_BUFFER_BIT | GL_DEPTH_BUFFER_BIT)
glLoadIdentity()
#glTranslatef(0.0, 0.0, -3.0)
glPushMatrix()
#glRotatef(rP.rVec[0], 1,0,0)
#glRotatef(rP.rVec[1], 0,1,0)
#glRotatef(rP.rVec[2], 0,0,1)
#glTranslatef(rP.tVec[0], rP.tVec[1], rP.tVec[2])
#glScalef(rP.sVec[0], rP.sVec[1], rP.sVec[2])
glTranslatef(rP.tVec[0], rP.tVec[1], rP.tVec[2])
glRotatef(rP.rVec[0], 1,0,0)
glRotatef(rP.rVec[1], 0,1,0)
glRotatef(rP.rVec[2], 0,0,1)
try:
#glEnable(GL_TEXTURE_2D)
#glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MAG_FILTER, GL_NEAREST)
#glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MIN_FILTER, GL_NEAREST)
#glTexEnvf(GL_TEXTURE_ENV, GL_TEXTURE_ENV_MODE, GL_DECAL)
#glBindTexture(GL_TEXTURE_2D, rP.texID)
rP.points.bind()
try:
glEnableClientState(GL_VERTEX_ARRAY)
#glEnableClientState(GL_TEXTURE_COORD_ARRAY_EXT)
#glEnableClientState(GL_TEXTURE_COORD_ARRAY)
#glTexCoordPointer(2, GL_FLOAT, 20, rP.points)
glVertexPointer(3, GL_FLOAT, 20, rP.points+8)
#glVertexPointerf(rP.points)
glDrawArrays(GL_TRIANGLES, 0, rP.cnt)
finally:
glDisableClientState(GL_VERTEX_ARRAY)
#glDisableClientState(GL_TEXTURE_COORD_ARRAY)
#glDisableClientState(GL_TEXTURE_COORD_ARRAY_EXT)
finally:
#rP.normals.unbind()
rP.points.unbind()
#glDisable(GL_TEXTURE_2D)
glPopMatrix()
glutSwapBuffers()
class renderParam(object):
def __init__(self):
self.mouseButton = None
self.tVec = [0, 0, 0]
self.rVec = [0, 0, 0]
self.sVec = [1, 1, 1]
self.points = None
self.indices = None
self.cnt = 0
def reset(self):
self.mouseButton = None
self.tVec = [0, 0, 0]
self.rVec = [0, 0, 0]
self.sVec = [1, 1, 1]
self.points = None
self.indices = None
self.cnt = 0
rP = renderParam()
oldMousePos = [0, 0]
def mouseButton(button, mode, x, y):
global rP, oldMousePos
if mode == GLUT_DOWN:
rP.mouseButton = button
else:
rP.mouseButton = None
oldMousePos[0], oldMousePos[1] = x, y
glutPostRedisplay( )
def mouseMotion(x, y):
global rP, oldMousePos
deltaX = x - oldMousePos[ 0 ]
deltaY = y - oldMousePos[ 1 ]
if rP.mouseButton == GLUT_LEFT_BUTTON:
factor = 0.005
rP.tVec[0] += deltaX * factor
rP.tVec[1] -= deltaY * factor
oldMousePos[0], oldMousePos[1] = x, y
if rP.mouseButton == GLUT_RIGHT_BUTTON:
factor = 0.1
rP.rVec[0] += deltaY * factor
rP.rVec[1] += deltaX * factor
oldMousePos[0], oldMousePos[1] = x, y
if rP.mouseButton == GLUT_MIDDLE_BUTTON:
factor = 0.01
rP.tVec[2] += deltaY * factor
oldMousePos[0], oldMousePos[1] = x, y
glutPostRedisplay( )
def registerCallbacks():
glutMouseFunc(mouseButton)
glutMotionFunc(mouseMotion)
def main():
glutInit()
glutInitWindowSize(400,400)
glutInitDisplayMode(GLUT_DOUBLE| GLUT_RGBA | GLUT_DEPTH)
glutCreateWindow("Scatter1")
initFunc()
initData()
glutDisplayFunc(displayFunc1)
registerCallbacks()
#glutCreateWindow("Scatter2")
#initFunc()
#glutDisplayFunc(displayFunc2)
#registerCallbacks()
glutMainLoop()
if __name__ == '__main__':
main() | [
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LC/188.py | szhu3210/LeetCode_Solutions | 2 | 68511 | class Solution(object):
def maxProfit(self, k, prices):
"""
:type k: int
:type prices: List[int]
:rtype: int
"""
if not prices:
return 0
n=len(prices)
if k>n//2:
return sum([prices[i+1]-prices[i] if prices[i+1]>prices[i] else 0 for i in range(n-1)])
G=[[0]*n for _ in range(k+1)]
for i in range(1,k+1):
L=[0 for _ in range(n)]
for j in range(1,n):
p=prices[j]-prices[j-1]
# cal local max
L[j]=max(G[i-1][j-1]+p, L[j-1]+p)
# cal global max
G[i][j]=max(G[i][j-1], L[j])
return G[-1][-1]
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backend/gsr_booking/management/commands/load_gsrs.py | pennlabs/penn-mobile | 2 | 38738 | <filename>backend/gsr_booking/management/commands/load_gsrs.py
import csv
from django.core.management.base import BaseCommand
from gsr_booking.models import GSR
class Command(BaseCommand):
def handle(self, *args, **kwargs):
with open("gsr_booking/data/gsr_data.csv") as data:
reader = csv.reader(data)
for i, row in enumerate(reader):
if i == 0:
continue
# collects room information from csv
lid, gid, name, service = row
# gets image from s3 given the lid and gid
# TODO: fix image url!
image_url = (
f"https://s3.us-east-2.amazonaws.com/labs.api/gsr/lid-{lid}-gid-{gid}.jpg"
)
kind = GSR.KIND_WHARTON if service == "wharton" else GSR.KIND_LIBCAL
GSR.objects.create(lid=lid, gid=gid, name=name, kind=kind, image_url=image_url)
self.stdout.write("Uploaded GSRs!")
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test/solution_tests/CHK/test_checkout.py | DPNT-Sourcecode/CHK-qvhh01 | 0 | 131182 | from lib.solutions.CHK import checkout_solution
class TestSkus():
def test_skus_should_created(self):
skus_a = checkout_solution.Skus(product_name='A', price=10.0)
assert skus_a.get_product_name() == 'A'
assert skus_a.get_price() == 10.0
assert skus_a.get_number_of_items() == 1
assert len(skus_a.get_discounts()) == 0
def test_skus_should_created_with_discount_info(self):
discount = checkout_solution.Discount(discount_purchase=3, discount_receive=130)
skus_a = checkout_solution.Skus(product_name='A', price=50)
skus_a.add_discount(discount)
assert skus_a.get_product_name() == 'A'
assert skus_a.get_price() == 50
assert skus_a.get_number_of_items() == 1
discounts = skus_a.get_discounts()
assert len(discounts) == 1
assert discounts[0].get_discount_purchase() == 3
assert discounts[0].get_discount_receive() == 130
class TestBasket():
def test_basket_items(self):
discount = checkout_solution.Discount(discount_purchase=3, discount_receive=130)
skus_a = checkout_solution.Skus(product_name='A', price=50)
skus_a.add_discount(discount)
basket = checkout_solution.Basket()
assert len(basket.get_items()) == 0
basket.add_item(skus_a)
assert len(basket.get_items()) == 1
def test_when_added_the_same_skus_in_basket(self):
discount = checkout_solution.Discount(discount_purchase=3, discount_receive=130)
discount1 = checkout_solution.Discount(discount_purchase=2, discount_receive=45)
skus_a = checkout_solution.Skus(product_name='A', price=50)
skus_a.add_discount(discount)
skus_b = checkout_solution.Skus(product_name='B', price=30)
skus_b.add_discount(discount1)
skus_c = checkout_solution.Skus(product_name='C', price=20)
basket = checkout_solution.Basket()
basket.add_item(skus_a)
basket.add_item(skus_b)
basket.add_item(skus_c)
items_list = basket.get_items()
assert len(items_list) == 3
assert items_list[1].get_number_of_items() == 1
basket.add_item(skus_b)
items_list = basket.get_items()
assert len(items_list) == 3
assert items_list[1].get_number_of_items() == 2
# def test_checkout_without_discount(self):
# skus_a = checkout_solution.Skus(product_name='A', price=50)
# skus_b = checkout_solution.Skus(product_name='B', price=30)
# skus_c = checkout_solution.Skus(product_name='C', price=20)
# basket = checkout_solution.Basket()
# basket.add_item(skus_a)
# basket.add_item(skus_b)
# basket.add_item(skus_c)
# assert basket.get_total() == 100
# def test_checkout_with_discount_not_applied(self):
# discount = checkout_solution.Discount(discount_purchase=3, discount_receive=130)
# skus_a = checkout_solution.Skus(product_name='A', price=50)
# skus_a.add_discount(discount)
# skus_b = checkout_solution.Skus(product_name='B', price=30)
# skus_c = checkout_solution.Skus(product_name='C', price=20)
# basket = checkout_solution.Basket()
# basket.add_item(skus_a)
# basket.add_item(skus_a)
# basket.add_item(skus_b)
# basket.add_item(skus_c)
# assert basket.get_total() == 150
# def test_checkout_with_discount_applied(self):
# discount = checkout_solution.Discount(discount_purchase=3, discount_receive=130)
# skus_a = checkout_solution.Skus(product_name='A', price=50)
# skus_a.add_discount(discount)
# skus_b = checkout_solution.Skus(product_name='B', price=30)
# skus_c = checkout_solution.Skus(product_name='C', price=20)
# basket = checkout_solution.Basket()
# basket.add_item(skus_a)
# basket.add_item(skus_a)
# basket.add_item(skus_a)
# basket.add_item(skus_b)
# basket.add_item(skus_c)
# assert basket.get_total() == 180
# def test_checkout_with_discount_applied_but_not_on_all_items(self):
# discount = checkout_solution.Discount(discount_purchase=3, discount_receive=130)
# skus_a = checkout_solution.Skus(product_name='A', price=50)
# skus_a.add_discount(discount)
# skus_b = checkout_solution.Skus(product_name='B', price=30)
# skus_c = checkout_solution.Skus(product_name='C', price=20)
# basket = checkout_solution.Basket()
# basket.add_item(skus_a)
# basket.add_item(skus_a)
# basket.add_item(skus_a)
# basket.add_item(skus_a)
# basket.add_item(skus_b)
# basket.add_item(skus_c)
# assert basket.get_total() == 230
# def test_checkout_with_discount_applied_but_not_on_all_items_(self):
# discount = checkout_solution.Discount(discount_purchase=2, discount_receive=80)
# skus_a = checkout_solution.Skus(product_name='A', price=50)
# skus_a.add_discount(discount)
# skus_b = checkout_solution.Skus(product_name='B', price=30)
# skus_c = checkout_solution.Skus(product_name='C', price=20)
# basket = checkout_solution.Basket()
# basket.add_item(skus_a)
# basket.add_item(skus_a)
# basket.add_item(skus_a)
# basket.add_item(skus_a)
# basket.add_item(skus_a)
# basket.add_item(skus_b)
# basket.add_item(skus_c)
# assert basket.get_total() == 260
def test_checkout_from_string(self):
basket = checkout_solution.Basket()
assert basket.checkout('ABCD') == 115
def test_checkout_from_string_discount(self):
assert checkout_solution.checkout('ABCADA') == 195
def test_checkout_from_string_discount2(self):
assert checkout_solution.checkout('ABCADAAAA') == 315
def test_checkout_from_string_discount3(self):
assert checkout_solution.checkout('ABCADAAA') == 265
def test_checkout_from_string_discount4(self):
assert checkout_solution.checkout('ABCDE') == 155
def test_checkout_from_string_discount5(self):
assert checkout_solution.checkout('ABCEDE') == 165
def test_checkout_from_string_discount6(self):
assert checkout_solution.checkout('BBEE') == 110 # to check
def test_checkout_from_string_discount7(self):
assert checkout_solution.checkout('EE') == 80
def test_checkout_from_string_discount8(self):
assert checkout_solution.checkout('AAAAAAAA') == 330
def test_checkout_from_string_discount9(self):
assert checkout_solution.checkout('ABCDEABCDE') == 280
def test_checkout_from_string_discount10(self):
assert checkout_solution.checkout('CCADDEEBBA') == 280
def test_checkout_from_string_discount11(self):
assert checkout_solution.checkout('EEEEBB') == 160
def test_checkout_from_string_discount12(self):
assert checkout_solution.checkout('FF') == 20
def test_checkout_from_string_discount13(self):
assert checkout_solution.checkout('FFF') == 20
def test_checkout_from_string_discount14(self):
assert checkout_solution.checkout('NNNM') == 120
def test_checkout_from_string_discount15(self):
assert checkout_solution.checkout('NNN') == 120
def test_checkout_from_string_discount16(self):
assert checkout_solution.checkout('NNNNNNMM') == 240
def test_checkout_from_string_discount17(self):
assert checkout_solution.checkout('NNNNNNM') == 240
def test_checkout_from_string_discount18(self):
assert checkout_solution.checkout('M') == 15
def test_checkout_from_string_discount19(self):
assert checkout_solution.checkout('ABCDEFGHIJKLMNOPQRSTUVWXYZ') == 965
def test_checkout_from_string_discount20(self):
assert checkout_solution.checkout('ABCDEFGHIJKLMNOPQRSTUVWXYZABCDEFGHIJKLMNOPQRSTUVWXYZ') == 1880
def test_checkout_from_string_discount21(self):
assert checkout_solution.checkout('SSS') == 45
def test_checkout_from_string_discount22(self):
assert checkout_solution.checkout('TTT') == 45
def test_checkout_from_string_discount23(self):
assert checkout_solution.checkout('ZZZ') == 45
def test_checkout_from_string_discount24(self):
assert checkout_solution.checkout('STY') == 45
def test_checkout_from_string_discount25(self):
assert checkout_solution.checkout('STYX') == 62
def test_checkout_from_string_discount26(self):
assert checkout_solution.checkout('XXXX') == 62
def test_checkout_from_string_discount27(self):
assert checkout_solution.checkout('XXXST') == 79
def test_checkout_from_string_discount28(self):
assert checkout_solution.checkout('S') == 20
def test_checkout_from_string_discount29(self):
assert checkout_solution.checkout('Z') == 21
def test_checkout_from_string_discount30(self):
assert checkout_solution.checkout('ZZZ') == 45
def test_checkout_from_string_discount31(self):
assert checkout_solution.checkout('ZZZX') == 62
def test_checkout_from_invalid_string(self):
assert checkout_solution.checkout('') == 0
assert checkout_solution.checkout('a') == -1
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] |
test/test_second_order_warnings.py | maryamhgf/backpack | 0 | 103584 | <gh_stars>0
"""Checks wether backpack correctly recognizes when 2nd order backprop would fail.
Failure cases include
- the loss if not the output of a torch.nn module
- using unsupported parameters of the loss
"""
import pytest
import torch
from torch.nn import CrossEntropyLoss, MSELoss
import backpack.extensions as bpext
from backpack import backpack as bp
from backpack import extend
ext_2nd_order = [
bpext.KFAC,
bpext.KFRA,
bpext.KFLR,
bpext.DiagGGNExact,
bpext.DiagGGNMC,
]
ext_2nd_order_name = [
"KFAC",
"KFRA",
"KFLR",
"DiagGGNExact",
"DiagGGNExactMC",
]
def classification_targets(N, num_classes):
"""Create random targets for classes 0, ..., `num_classes - 1`."""
return torch.randint(size=(N,), low=0, high=num_classes)
def dummy_cross_entropy(N=5):
y_pred = torch.rand((N, 2))
y_pred.requires_grad = True
y = classification_targets(N, 2)
loss_module = extend(CrossEntropyLoss())
return loss_module(y_pred, y)
def dummy_mse(N=5, D=1):
y_pred = torch.rand((N, D))
y_pred.requires_grad = True
y = torch.randn((N, D))
loss_module = extend(MSELoss())
return loss_module(y_pred, y)
@pytest.mark.parametrize("extension", ext_2nd_order, ids=ext_2nd_order_name)
def test_sqrt_hessian_crossentropy_should_pass(extension):
loss = dummy_cross_entropy()
with bp(extension()):
loss.backward()
@pytest.mark.parametrize("extension", ext_2nd_order, ids=ext_2nd_order_name)
def test_sqrt_hessian_mse_should_pass(extension):
loss = dummy_mse()
with bp(extension()):
loss.backward()
@pytest.mark.parametrize("extension", ext_2nd_order, ids=ext_2nd_order_name)
def test_sqrt_hessian_modified_crossentropy_should_fail(extension):
loss = dummy_cross_entropy() * 2
with pytest.warns(UserWarning):
with bp(extension()):
loss.backward()
@pytest.mark.parametrize("extension", ext_2nd_order, ids=ext_2nd_order_name)
def test_sqrt_hessian_modified_mse_should_fail(extension):
loss = dummy_mse() * 2
with pytest.warns(UserWarning):
with bp(extension()):
loss.backward()
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openprocurement/auctions/dgf/tests/award.py | openprocurement/openprocurement.auctions.dgf | 2 | 193715 | <reponame>openprocurement/openprocurement.auctions.dgf
# -*- coding: utf-8 -*-
import unittest
from datetime import timedelta
from openprocurement.auctions.core.utils import get_now
from openprocurement.auctions.core.tests.award import (
AuctionLotAwardResourceTestMixin,
Auction2LotAwardResourceTestMixin,
AuctionAwardDocumentResourceTestMixin,
AuctionLotAwardComplaintResourceTestMixin,
Auction2LotAwardComplaintResourceTestMixin,
AuctionAwardComplaintDocumentResourceTestMixin,
Auction2LotAwardComplaintDocumentResourceTestMixin,
Auction2LotAwardDocumentResourceTestMixin
)
from openprocurement.auctions.core.tests.base import snitch
from openprocurement.auctions.core.tests.blanks.award_blanks import (
get_auction_award_complaint,
get_auction_award_complaints
)
from openprocurement.auctions.core.plugins.awarding.v3.tests.award import (
AuctionAwardProcessTestMixin,
CreateAuctionAwardTestMixin
)
from openprocurement.auctions.dgf.tests.base import (
BaseAuctionWebTest, test_bids,
test_lots, test_financial_auction_data,
test_financial_bids, test_financial_organization,
)
class CreateAuctionAwardTest(BaseAuctionWebTest, CreateAuctionAwardTestMixin):
# initial_data = auction_data
initial_status = 'active.auction'
initial_bids = test_bids
class AuctionAwardProcessTest(BaseAuctionWebTest, AuctionAwardProcessTestMixin):
# initial_data = auction_data
initial_status = 'active.auction'
initial_bids = test_bids
docservice = True
def setUp(self):
super(AuctionAwardProcessTest, self).setUp()
authorization = self.app.authorization
self.app.authorization = ('Basic', ('auction', ''))
now = get_now()
auction_result = {
'bids': [
{
"id": b['id'],
"date": (now - timedelta(seconds=i)).isoformat(),
"value": b['value']
}
for i, b in enumerate(self.initial_bids)
]
}
response = self.app.post_json('/auctions/{}/auction'.format(self.auction_id), {'data': auction_result})
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.content_type, 'application/json')
auction = response.json['data']
self.assertEqual('active.qualification', auction["status"])
self.first_award = auction['awards'][0]
self.second_award = auction['awards'][1]
self.first_award_id = self.first_award['id']
self.second_award_id = self.second_award['id']
self.app.authorization = authorization
def upload_auction_protocol(self, award):
award_id = award['id']
bid_token = self.initial_bids_tokens[award['bid_id']]
response = self.app.post('/auctions/{}/awards/{}/documents?acc_token={}'.format(
self.auction_id, award_id, bid_token), upload_files=[('file', 'auction_protocol.pdf', 'content')])
self.assertEqual(response.status, '201 Created')
self.assertEqual(response.content_type, 'application/json')
doc_id = response.json["data"]['id']
self.assertIn(doc_id, response.headers['Location'])
self.assertEqual('auction_protocol.pdf', response.json["data"]["title"])
key = response.json["data"]["url"].split('?')[-1]
response = self.app.patch_json(
'/auctions/{}/awards/{}/documents/{}?acc_token={}'.format(self.auction_id, award_id, doc_id, bid_token),
{"data": {
"description": "auction protocol",
"documentType": 'auctionProtocol'
}})
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(doc_id, response.json["data"]["id"])
self.assertIn("documentType", response.json["data"])
self.assertEqual(response.json["data"]["documentType"], 'auctionProtocol')
response = self.app.post('/auctions/{}/awards/{}/documents?acc_token={}'.format(
self.auction_id, award_id, self.auction_token), upload_files=[('file', 'auction_protocol.pdf', 'content')])
self.assertEqual(response.status, '201 Created')
self.assertEqual(response.content_type, 'application/json')
doc_id = response.json["data"]['id']
self.assertIn(doc_id, response.headers['Location'])
self.assertEqual('auction_protocol.pdf', response.json["data"]["title"])
key = response.json["data"]["url"].split('?')[-1]
response = self.app.patch_json(
'/auctions/{}/awards/{}/documents/{}?acc_token={}'.format(self.auction_id, award_id, doc_id,
self.auction_token),
{"data": {
"description": "auction protocol",
"documentType": 'auctionProtocol'
}})
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(doc_id, response.json["data"]["id"])
self.assertIn("documentType", response.json["data"])
self.assertEqual(response.json["data"]["documentType"], 'auctionProtocol')
response = self.app.get('/auctions/{}/awards/{}/documents'.format(self.auction_id, award_id, doc_id))
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.content_type, 'application/json')
self.assertEqual('auctionProtocol', response.json["data"][0]["documentType"])
self.assertEqual('auction_protocol.pdf', response.json["data"][0]["title"])
self.assertEqual('bid_owner', response.json["data"][0]["author"])
self.assertEqual('auctionProtocol', response.json["data"][1]["documentType"])
self.assertEqual('auction_owner', response.json["data"][1]["author"])
@unittest.skip("option not available")
class AuctionLotAwardResourceTest(BaseAuctionWebTest, AuctionLotAwardResourceTestMixin):
initial_status = 'active.qualification'
initial_lots = test_lots
initial_bids = test_bids
@unittest.skip("option not available")
class Auction2LotAwardResourceTest(BaseAuctionWebTest, Auction2LotAwardResourceTestMixin):
initial_status = 'active.qualification'
initial_lots = 2 * test_lots
initial_bids = test_bids
# test_create_auction_award_2_lots = snitch(create_auction_award_2_lots)
# test_patch_auction_award_2_lots = snitch(patch_auction_award_2_lots)
@unittest.skip("option not available")
class AuctionLotAwardComplaintResourceTest(BaseAuctionWebTest,
AuctionLotAwardComplaintResourceTestMixin):
# initial_data = auction_data
initial_status = 'active.qualification'
initial_lots = test_lots
initial_bids = test_bids
def setUp(self):
super(AuctionLotAwardComplaintResourceTest, self).setUp()
# Create award
bid = self.initial_bids[0]
response = self.app.post_json('/auctions/{}/awards'.format(
self.auction_id), {
'data': {'suppliers': [self.initial_organization], 'status': 'pending', 'bid_id': bid['id'],
'lotID': bid['lotValues'][0]['relatedLot']}})
award = response.json['data']
self.award_id = award['id']
@unittest.skip("option not available")
class Auction2LotAwardComplaintResourceTest(BaseAuctionWebTest,
Auction2LotAwardComplaintResourceTestMixin):
initial_status = 'active.qualification'
initial_lots = 2 * test_lots
initial_bids = test_bids
test_get_auction_award_complaint = snitch(get_auction_award_complaint)
test_get_auction_award_complaints = snitch(get_auction_award_complaints)
@unittest.skip("option not available")
class AuctionAwardComplaintDocumentResourceTest(BaseAuctionWebTest,
AuctionAwardComplaintDocumentResourceTestMixin):
initial_status = 'active.qualification'
initial_bids = test_bids
def setUp(self):
super(AuctionAwardComplaintDocumentResourceTest, self).setUp()
# Create award
response = self.app.post_json('/auctions/{}/awards'.format(
self.auction_id), {'data': {'suppliers': [self.initial_organization], 'status': 'pending',
'bid_id': self.initial_bids[0]['id']}})
award = response.json['data']
self.award_id = award['id']
# Create complaint for award
response = self.app.post_json('/auctions/{}/awards/{}/complaints'.format(
self.auction_id, self.award_id), {
'data': {'title': 'complaint title', 'description': 'complaint description',
'author': self.initial_organization}})
complaint = response.json['data']
self.complaint_id = complaint['id']
self.complaint_owner_token = response.json['access']['token']
@unittest.skip("option not available")
class Auction2LotAwardComplaintDocumentResourceTest(BaseAuctionWebTest,
Auction2LotAwardComplaintDocumentResourceTestMixin):
initial_status = 'active.qualification'
initial_bids = test_bids
initial_lots = 2 * test_lots
def setUp(self):
super(Auction2LotAwardComplaintDocumentResourceTest, self).setUp()
# Create award
bid = self.initial_bids[0]
response = self.app.post_json('/auctions/{}/awards'.format(
self.auction_id), {
'data': {'suppliers': [self.initial_organization], 'status': 'pending', 'bid_id': bid['id'],
'lotID': bid['lotValues'][0]['relatedLot']}})
award = response.json['data']
self.award_id = award['id']
# Create complaint for award
response = self.app.post_json('/auctions/{}/awards/{}/complaints'.format(
self.auction_id, self.award_id), {
'data': {'title': 'complaint title', 'description': 'complaint description',
'author': self.initial_organization}})
complaint = response.json['data']
self.complaint_id = complaint['id']
self.complaint_owner_token = response.json['access']['token']
class AuctionAwardDocumentResourceTest(BaseAuctionWebTest,
AuctionAwardDocumentResourceTestMixin):
initial_status = 'active.auction'
initial_bids = test_bids
def setUp(self):
super(AuctionAwardDocumentResourceTest, self).setUp()
authorization = self.app.authorization
self.app.authorization = ('Basic', ('auction', ''))
now = get_now()
auction_result = {
'bids': [
{
"id": b['id'],
"date": (now - timedelta(seconds=i)).isoformat(),
"value": b['value']
}
for i, b in enumerate(self.initial_bids)
]
}
response = self.app.post_json('/auctions/{}/auction'.format(self.auction_id), {'data': auction_result})
self.assertEqual(response.status, '200 OK')
self.assertEqual(response.content_type, 'application/json')
auction = response.json['data']
self.assertEqual('active.qualification', auction["status"])
self.first_award = auction['awards'][0]
self.second_award = auction['awards'][1]
self.first_award_id = self.first_award['id']
self.second_award_id = self.second_award['id']
self.app.authorization = authorization
# test_not_found_document = snitch(not_found_document)
# test_create_auction_award_document = snitch(create_auction_award_document)
# test_put_auction_award_document = snitch(put_auction_award_document)
# test_patch_auction_award_document = snitch(patch_auction_award_document)
@unittest.skip("option not available")
class Auction2LotAwardDocumentResourceTest(BaseAuctionWebTest,
Auction2LotAwardDocumentResourceTestMixin):
initial_status = 'active.qualification'
initial_bids = test_bids
initial_lots = 2 * test_lots
def setUp(self):
super(Auction2LotAwardDocumentResourceTest, self).setUp()
# Create award
bid = self.initial_bids[0]
response = self.app.post_json('/auctions/{}/awards'.format(
self.auction_id), {
'data': {'suppliers': [self.initial_organization], 'status': 'pending', 'bid_id': bid['id'],
'lotID': bid['lotValues'][0]['relatedLot']}})
award = response.json['data']
self.award_id = award['id']
class CreateFinancialAuctionAwardTest(CreateAuctionAwardTest):
initial_bids = test_financial_bids
initial_data = test_financial_auction_data
initial_organization = test_financial_organization
class FinancialAuctionAwardProcessTest(AuctionAwardProcessTest):
initial_bids = test_financial_bids
initial_data = test_financial_auction_data
initial_organization = test_financial_organization
@unittest.skip("option not available")
class FinancialAuctionLotAwardResourceTest(AuctionLotAwardResourceTest):
initial_bids = test_financial_bids
initial_data = test_financial_auction_data
initial_organization = test_financial_organization
@unittest.skip("option not available")
class FinancialAuction2LotAwardResourceTest(Auction2LotAwardResourceTest):
initial_bids = test_financial_bids
initial_data = test_financial_auction_data
initial_organization = test_financial_organization
@unittest.skip("option not available")
class FinancialAuctionLotAwardComplaintResourceTest(AuctionLotAwardComplaintResourceTest):
initial_bids = test_financial_bids
initial_data = test_financial_auction_data
@unittest.skip("option not available")
class FinancialAuction2LotAwardComplaintResourceTest(Auction2LotAwardComplaintResourceTest):
initial_data = test_financial_auction_data
initial_organization = test_financial_organization
@unittest.skip("option not available")
class FinancialAuctionAwardComplaintDocumentResourceTest(AuctionAwardComplaintDocumentResourceTest):
initial_bids = test_financial_bids
initial_data = test_financial_auction_data
initial_organization = test_financial_organization
@unittest.skip("option not available")
class FinancialAuction2LotAwardComplaintDocumentResourceTest(Auction2LotAwardComplaintDocumentResourceTest):
initial_bids = test_financial_bids
initial_data = test_financial_auction_data
initial_organization = test_financial_organization
class FinancialAuctionAwardDocumentResourceTest(AuctionAwardDocumentResourceTest):
initial_bids = test_financial_bids
initial_data = test_financial_auction_data
initial_organization = test_financial_organization
@unittest.skip("option not available")
class FinancialAuction2LotAwardDocumentResourceTest(Auction2LotAwardDocumentResourceTest):
initial_bids = test_financial_bids
initial_data = test_financial_auction_data
initial_organization = test_financial_organization
def suite():
tests = unittest.TestSuite()
tests.addTest(unittest.makeSuite(CreateAuctionAwardTest))
tests.addTest(unittest.makeSuite(AuctionAwardProcessTest))
tests.addTest(unittest.makeSuite(AuctionLotAwardResourceTest))
tests.addTest(unittest.makeSuite(Auction2LotAwardResourceTest))
tests.addTest(unittest.makeSuite(AuctionLotAwardComplaintResourceTest))
tests.addTest(unittest.makeSuite(Auction2LotAwardComplaintResourceTest))
tests.addTest(unittest.makeSuite(AuctionAwardComplaintDocumentResourceTest))
tests.addTest(unittest.makeSuite(Auction2LotAwardComplaintDocumentResourceTest))
tests.addTest(unittest.makeSuite(AuctionAwardDocumentResourceTest))
tests.addTest(unittest.makeSuite(Auction2LotAwardDocumentResourceTest))
tests.addTest(unittest.makeSuite(CreateFinancialAuctionAwardTest))
tests.addTest(unittest.makeSuite(FinancialAuctionAwardProcessTest))
tests.addTest(unittest.makeSuite(FinancialAuctionLotAwardResourceTest))
tests.addTest(unittest.makeSuite(FinancialAuction2LotAwardResourceTest))
tests.addTest(unittest.makeSuite(FinancialAuctionLotAwardComplaintResourceTest))
tests.addTest(unittest.makeSuite(FinancialAuction2LotAwardComplaintResourceTest))
tests.addTest(unittest.makeSuite(FinancialAuctionAwardComplaintDocumentResourceTest))
tests.addTest(unittest.makeSuite(FinancialAuction2LotAwardComplaintDocumentResourceTest))
tests.addTest(unittest.makeSuite(FinancialAuctionAwardDocumentResourceTest))
tests.addTest(unittest.makeSuite(FinancialAuction2LotAwardDocumentResourceTest))
return tests
if __name__ == '__main__':
unittest.main(defaultTest='suite') | [
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] |
netrd/reconstruction/marchenko_pastur.py | Carromattsson/netrd | 0 | 97371 | """
marchenko_pastur.py
--------------
Graph reconstruction algorithm based on <NAME>., & <NAME>. (1967).
Distribution of eigenvalues for some sets of random matrices. Matematicheskii
Sbornik, 114(4), 507-536.
author: <NAME>
Submitted as part of the 2019 NetSI Collabathon.
"""
from .base import BaseReconstructor
import numpy as np
import networkx as nx
from ..utilities import create_graph, threshold
class MarchenkoPastur(BaseReconstructor):
def fit(self, TS, remove_largest=False, metric_distance=False, threshold_type='range', **kwargs):
"""Create a correlation-based graph using Marchenko-Pastur law to remove noise.
A signed graph is built by constructing a projection of the empirical correlation
matrix generated from the time series data after having removed *noisy* components.
This method combines the results presented in [1],[2], and [3].
Params
------
TS (np.ndarray): $N \\times L$ array consisting of $L$ observations
from $N$ sensors.
remove_largest (bool), optional: If ``False``, all the eigenvectors
associated to the significant eigenvalues will be used to reconstruct
the de-noised empirical correlation matrix. If ``True``, the eigenvector
associated to the largest eigenvalue (normally known as the ``market`` mode, [2])
is going to be excluded from the recontruction step.
metric_distance (bool), optional: If ``False``, a signed graph is obtained.
The weights associated to the edges represent the de-noised correlation
coefficient $\\rho_{i,j}$ between time series $i$ and $j$.
If ``True``, the correlation is transformed by defining a metric distance
between each pair of nodes where $d_{i,j} = \\sqrt{2(1-\\rho_{i,j})}$ as
proposed in [3].
threshold_type (str): Which thresholding function to use on the matrix of
weights. See `netrd.utilities.threshold.py` for documentation. Pass additional
arguments to the thresholder using `**kwargs`.
Returns
-------
G (nx.Graph): A reconstructed graph with $N$ nodes.
Example
--------
import numpy as np
import networkx as nx
from matplotlib import pyplot as plt
from netrd.reconstruction import MarchenkoPastur
N = 250
T = 300
M = np.random.normal(size=(N,T))
print('Create correlated time series')
market_mode = 0.4*np.random.normal(size=(1,T))
M += market_mode
sector_modes = {d: 0.5*np.random.normal(size=(1,T)) for d in range(5)}
for sector_mode, vals in sector_modes.items():
M[sector_mode*50:(sector_mode+1)*50,:] += vals
print('Network reconstruction step')
mp_net = MarchenkoPastur()
G = mp_net.fit(M, only_positive=True)
G_no_market = mp_net.fit(M, only_positive=True, remove_largest=True)
print('Observed noisy correlation')
C = np.corrcoef(M)
C[C<0] = 0 # remove negative values
np.fill_diagonal(C,0) # remove self-loops
G_noisy = nx.from_numpy_array(C) # create graph
print('Plot observed noisy correlation graph')
fig, ax = plt.subplots()
nx.draw(G_noisy, ax=ax)
print('Plot reconstructed correlation graph')
fig, ax = plt.subplots()
nx.draw(G, ax=ax)
print('Plot reconstructed correlation graph without market mode')
fig, ax = plt.subplots()
nx.draw(G_no_market, ax=ax)
References
----------
.. [1] <NAME>., & <NAME>. (1967). Distribution of eigenvalues for
some sets of random matrices. Matematicheskii Sbornik, 114(4), 507-536.
http://www.mathnet.ru/links/a8d2a49dec161f50c944d9a96298c35a/sm4101.pdf
.. [2] <NAME>., <NAME>., <NAME>., & <NAME>. (1999). Noise dressing
of financial correlation matrices. Physical review letters, 83(7), 1467.
https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.83.1467
.. [3] <NAME>., <NAME>., <NAME>., <NAME>., <NAME>., & Mantegna,
<NAME>. (2004). Networks of equities in financial markets. The European Physical Journal
B, 38(2), 363-371.
https://link.springer.com/article/10.1140/epjb/e2004-00129-6
"""
N, L = TS.shape
if N>L:
raise ValueError("L must be greater or equal than N.")
Q = L/N
C = np.corrcoef(TS) # Empirical correlation matrix
w, v = np.linalg.eigh(C) # Spectral decomposition of C
w_min = (1+1/Q-2*np.sqrt(1/Q))
w_max = (1+1/Q+2*np.sqrt(1/Q))
selected = (w<w_min)|(w>w_max)
if selected.sum()==0:
G = nx.empty_graph(n=N)
self.results['graph'] = G
return G
if remove_largest:
selected[-1] = False
w_signal = w[selected]
v_signal = v[:,selected]
C_signal = v_signal.dot(np.diag(w_signal)).dot(v_signal.T)
if metric_distance:
C_signal = np.sqrt(2*(1-C_signal))
self.results['matrix'] = C_signal
#threshold signal matrix
self.results['thresholded_matrix'] = threshold(C_signal, threshold_type, **kwargs)
G = create_graph(self.results['thresholded_matrix'])
self.results['graph'] = G
return G
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] |
tests/test_pool.py | rsumner31/ngraph | 1 | 72229 | # ----------------------------------------------------------------------------
# Copyright 2016 Nervana Systems Inc.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ----------------------------------------------------------------------------
import numpy as np
import pytest
from neon import NervanaObject
from neon.backends import gen_backend
from neon.layers.layer import Pooling
import ngraph as ng
import ngraph.transformers as ngt
from ngraph.testing import RandomTensorGenerator, executor
from ngraph.frontends.neon import ax, ar
from ngraph.frontends.neon.layer import output_dim
rng = RandomTensorGenerator(0, np.float32)
NervanaObject.be = gen_backend()
class DummyDeltaBuffers(object):
"""
Dummy class for delta buffers needed by neon
"""
def __init__(self):
self.buffers = [None]
def test_wrong_input_shape_length():
"""
test wrong input shape length
"""
ax_i = ng.make_axes([ax.C, ax.D, ax.H, ax.W])
inputs = ng.placeholder(axes=ax_i)
pool_params = dict(op='max')
with pytest.raises(ValueError) as exinfo:
ng.pooling(pool_params, inputs, {})
assert str(exinfo.value) == 'pooling input shape must be length 5, found {}' \
.format(len(ax_i))
def test_wrong_op_name():
"""
test wrong number of batch axes at input
"""
ax_i = ng.make_axes([ax.C, ax.D, ax.H, ax.W, ax.N])
inputs = ng.placeholder(axes=ax_i)
pooltype = 'min'
pool_params = dict(op=pooltype)
with pytest.raises(ValueError) as exinfo:
ng.pooling(pool_params, inputs, {})
assert str(exinfo.value) == "Unsupported pooling type: {pooltype}. Only max and avg " \
"pooling currently supported. ".format(pooltype=pooltype)
def test_pooling():
"""
test pooling forward and backward path
"""
N = 128
C = 3
D = 1
H = W = 32
J = T = 1
R = S = 2
ngt.make_transformer()
padding = dict(pad_d=0, pad_h=0, pad_w=0, pad_c=0)
strides = dict(str_d=1, str_h=1, str_w=1, str_c=1)
fshape = dict(J=J, T=T, R=R, S=S)
pool_params = dict(op='max')
pool_params.update(padding)
pool_params.update(strides)
pool_params.update(fshape)
ax_i = ng.make_axes([ax.C, ax.D, ax.H, ax.W, ax.N])
ax_i.set_shape((C, D, H, W, N))
inputs = ng.placeholder(axes=ax_i)
ax_o = ng.make_axes([
ng.make_axis(roles=[ar.features_input]).named('C'),
ng.make_axis(roles=[ar.features_0]).named('D'),
ng.make_axis(roles=[ar.features_1]).named('H'),
ng.make_axis(roles=[ar.features_2]).named('W'),
ax.N
])
ax_o[:-1].set_shape((
output_dim(C, J, padding['pad_c'], strides['str_c']),
output_dim(D, T, padding['pad_d'], strides['str_d']),
output_dim(H, R, padding['pad_h'], strides['str_h']),
output_dim(W, S, padding['pad_w'], strides['str_w']))
)
# randomly initialize
input_value = rng.uniform(-1, 1, ax_i)
assert input_value.shape == ax_i.lengths
# compute convolution with graph
output = ng.pooling(pool_params, inputs, axes=ax_o)
targets = ng.placeholder(axes=ax_o)
costs = ng.cross_entropy_binary(ng.sigmoid(output), targets)
error = ng.sum(costs, out_axes=()) / ng.batch_size(costs)
d_inputs = ng.deriv(error, inputs)
targets_value = rng.uniform(.1, 0.9, output.axes)
with executor([output, error, d_inputs], inputs, targets) as conv_executor:
result_ng, err_ng, gradI_ng = conv_executor(input_value, targets_value)
# Now compute reference values via NEON
NervanaObject.be.bsz = N
neon_layer = Pooling(fshape=fshape, padding=padding, strides=strides, op="max")
inp = neon_layer.be.array(input_value.reshape(C * H * W * D, N))
neon_layer.configure((C, H, W))
neon_layer.prev_layer = True
neon_layer.allocate()
neon_layer.set_deltas(DummyDeltaBuffers())
result_ne = neon_layer.fprop(inp).get().reshape(output.axes.lengths)
act_result_ne = 1. / (1.0 + np.exp(-result_ne))
err = neon_layer.be.array((act_result_ne - targets_value).reshape(-1, N) / float(N))
gradI_ne = neon_layer.bprop(err).get().reshape(ax_i.lengths)
# Compare fprop
ng.testing.assert_allclose(result_ng, result_ne, rtol=0, atol=1e-6)
# Compare bprop
ng.testing.assert_allclose(gradI_ng, gradI_ne, rtol=0, atol=1e-6)
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amazon/__init__.py | gutfeeling/python-amazon-paapi | 0 | 134861 | <reponame>gutfeeling/python-amazon-paapi
"""Amazon Product Advertising API wrapper for Python"""
__version__ = '3.2.0'
__author__ = '<NAME>'
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taobao/old_version/taobao_ver2.py | HowardHowonYu/taobao_crawler | 0 | 92694 | import time
import sys
class ProductCrawler():
def __get_proxy__(self):
from selenium import webdriver
co = webdriver.ChromeOptions()
co.add_argument("log-level=3")
co.add_argument("--headless")
driver = webdriver.Chrome('./chromedriver', options=co)
driver.get("https://free-proxy-list.net/")
PROXIES = []
proxies = driver.find_elements_by_css_selector("tr[role='row']")
for p in proxies:
result = p.text.split(" ")
if result[-1] == "yes":
PROXIES.append(result[0]+":"+result[1])
driver.close()
return PROXIES
def __set_cookies_proxies__(self, current_url):
from selenium import webdriver
import pickle
# get proxies
PROXIES = self.__get_proxy__()
# set proxies to driver
chrome_options = webdriver.ChromeOptions()
chrome_options.add_argument(PROXIES[1])
driver = webdriver.Chrome(
'./chromedriver', options=chrome_options)
driver.get("https://www.taobao.com")
# set cookies to driver
# load cookies to get information about 'Promotion Price'
# have to find better approach :(
if "tmall" in current_url:
f = open('cookie_tmall.dat', 'rb')
cookies = pickle.load(f)
for cookie in cookies:
driver.add_cookie(cookie)
else:
f = open('cookie_taobao.dat', 'rb')
cookies = pickle.load(f)
for cookie in cookies:
driver.add_cookie(cookie)
return driver
def product_crawler(self, itemid):
"""
we check the url for confirm the mall first - taobao or tmall
if you have information of mall, you can select one method directly.
- taobao : taobao_crawler()
- tmall : tmall_crawler()
"""
from selenium import webdriver
from fake_useragent import UserAgent
# make userAgent randomly
ua = UserAgent(verify_ssl=False)
userAgent = ua.random
chrome_options = webdriver.ChromeOptions()
chrome_options.add_argument(userAgent)
driver = webdriver.Chrome('./chromedriver', options=chrome_options)
driver.get("https://item.taobao.com/item.htm?id={}".format(itemid))
# control alert window
try:
alert = driver.switch_to_alert()
time.sleep(1)
alert.accept()
current_url = driver.current_url
except:
current_url = driver.current_url
print("사이트 체크 완료", current_url)
driver.quit()
if "tmall" in current_url:
return self.tmall_crawler(itemid, current_url)
else:
return self.taobao_crawler(itemid, current_url)
def tmall_crawler(self, itemid, current_url):
from selenium import webdriver
from scrapy.http import TextResponse
from fake_useragent import UserAgent
import requests
driver = self.__set_cookies_proxies__(current_url)
driver.get("https://detail.tmall.com/item.htm?id={}".format(itemid))
result = {}
# item id
result['item_id'] = itemid
# Tmall has two options of 'Promotion Price'
try:
result['promo_price_cuxiao'] = driver.find_element_by_xpath(
'//*[@id="J_PromoPrice"]/dd/div/span').text
except:
result['promo_price_cuxiao'] = "가격 정보 없음"
try:
result['promo_price_kuang'] = driver.find_element_by_xpath('// *[@id="J_DetailMeta"]/div[1]/div[1]/div/div[2]/dl[3]/dd/span').text
except:
result['promo_price_kuang'] = "가격 정보 없음"
driver.quit()
# Use 'requests' to get rest of information
url = "https://item.taobao.com/item.htm?id={}".format(itemid)
ua = UserAgent(verify_ssl=False)
userAgent = ua.random
headers = {
'User-Agent': userAgent
}
# https://stackoverflow.com/questions/32910093/python-requests-gets-tlsv1-alert-internal-err
requests.packages.urllib3.util.ssl_.DEFAULT_CIPHERS = 'DH+AESGCM:ECDH+AES256:DH+AES256:ECDH+AES128:DH+AES:ECDH+HIGH:DH+HIGH:ECDH+3DES:DH+3DES:RSA+AESGCM:RSA+AES:RSA+HIGH:RSA+3DES:!aNULL:!eNULL:!MD5'
response = requests.get(url=url, headers=headers)
req = TextResponse(response.url, body=response.text, encoding="utf-8")
# item_title
result['item_title'] = req.xpath(
'//*[@id="J_DetailMeta"]/div[@class="tm-clear"]/div[@class="tb-property"]/div/div[@class="tb-detail-hd"]/h1/text()').extract_first().strip()
# options
option_path = req.xpath(
'//*[@id="J_DetailMeta"]/div/div/div/div[@class="tb-key"]/div[@class="tb-skin"]/div[@class="tb-sku"]/dl[contains(@class, "tm-sale-prop") and contains(@class, "tb-prop") and contains(@class, "tm-clear")]')
option_ls = []
for path in option_path:
option = {}
option['option_title'] = path.xpath('dt/text()').extract_first()
option['option_details'] = path.xpath('dd/ul/li/a/span/text()').extract()
image_elements = path.xpath('dd/ul[contains(@class, "tb-img")]/li/a')
option['option_image_urls'] = [element.xpath('@style').extract_first()[19:-40] for element in image_elements]
option_ls.append(option)
result['options'] = option_ls
return result
def taobao_crawler(self, itemid, current_url):
from selenium import webdriver
from scrapy.http import TextResponse
from fake_useragent import UserAgent
import pickle
import requests
driver = self.__set_cookies_proxies__(current_url)
driver.get("https://item.taobao.com/item.htm?id={}".format(itemid))
result = {}
result['item_id'] = itemid
# 할인 가격
try:
result['promo_price'] = driver.find_element_by_xpath(
'//*[@id="J_PromoPriceNum"]').text
except:
result['promo_price'] = '할인 가격 없음'
driver.quit()
# Use 'requests' to get rest of information
ua = UserAgent(verify_ssl=False)
userAgent = ua.random
headers = {
'User-Agent': userAgent
}
url = "https://item.taobao.com/item.htm?id={}".format(itemid)
# https://stackoverflow.com/questions/32910093/python-requests-gets-tlsv1-alert-internal-err
requests.packages.urllib3.util.ssl_.DEFAULT_CIPHERS = 'DH+AESGCM:ECDH+AES256:DH+AES256:ECDH+AES128:DH+AES:ECDH+HIGH:DH+HIGH:ECDH+3DES:DH+3DES:RSA+AESGCM:RSA+AES:RSA+HIGH:RSA+3DES:!aNULL:!eNULL:!MD5'
response = requests.get(url=url, headers=headers)
req = TextResponse(response.url, body=response.text, encoding="utf-8")
result['item_title'] = req.xpath(
'//*[@id="J_Title"]/h3/@data-title').extract_first()
option_title = req.xpath(
'//*[@id="J_isku"]/div/dl/dd/ul/@data-property').extract()
r = []
for title in option_title:
j = {}
j['option_title'] = title
j['option_details'] = req.xpath(
'//*[@id="J_isku"]/div/dl/dd/ul[@data-property="{}"]/li/a/span/text()'.format(title)).extract()
j['option_image_urls'] = [path[17:-29] for path in req.xpath(
'//*[@id="J_isku"]/div/dl/dd/ul[@data-property="{}"]/li/a/@style'.format(title)).extract()]
r.append(j)
result['options'] = r
return result
if __name__ == "__main__":
crawler = ProductCrawler()
print(crawler.product_crawler(sys.argv[1]))
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12428,
353,
3992,
5103,
29898,
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29889,
2271,
29892,
3573,
29922,
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29889,
726,
29892,
8025,
543,
9420,
29899,
29947,
1159,
13,
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1121,
1839,
667,
29918,
3257,
2033,
353,
12428,
29889,
23635,
29898,
13,
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525,
458,
29930,
17548,
333,
543,
29967,
29918,
7030,
3108,
29914,
29882,
29941,
29368,
1272,
29899,
3257,
2824,
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580,
13,
13,
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29918,
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13,
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333,
543,
29967,
29918,
275,
2120,
3108,
29914,
4563,
29914,
11671,
29914,
1289,
29914,
352,
29368,
1272,
29899,
6799,
2824,
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580,
13,
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364,
353,
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13,
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363,
3611,
297,
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29901,
13,
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432,
353,
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13,
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432,
1839,
3385,
29918,
3257,
2033,
353,
3611,
13,
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432,
1839,
3385,
29918,
14144,
2033,
353,
12428,
29889,
23635,
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13,
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525,
458,
29930,
17548,
333,
543,
29967,
29918,
275,
2120,
3108,
29914,
4563,
29914,
11671,
29914,
1289,
29914,
352,
17548,
1272,
29899,
6799,
543,
8875,
3108,
29914,
492,
29914,
29874,
29914,
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29914,
726,
580,
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4830,
29898,
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13,
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432,
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3027,
29918,
26045,
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29929,
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1272,
29899,
6799,
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8875,
3108,
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492,
29914,
29874,
29368,
3293,
4286,
4830,
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21111,
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13,
13,
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6768,
2033,
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364,
13,
13,
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736,
1121,
13,
13,
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978,
1649,
1275,
376,
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3396,
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1115,
13,
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29349,
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1358,
580,
13,
1678,
1596,
29898,
29883,
1610,
1358,
29889,
4704,
29918,
29883,
1610,
1358,
29898,
9675,
29889,
19218,
29961,
29896,
12622,
13,
268,
13,
2
] |
common/src/stack/mq/clients/channel-ctrl.py | khanfluence/stacki-cumulus-switch | 0 | 77253 | <reponame>khanfluence/stacki-cumulus-switch
#! /opt/stack/bin/python3
#
# @copyright@
# Copyright (c) 2006 - 2018 Teradata
# All rights reserved. Stacki(r) v5.x stacki.com
# https://github.com/Teradata/stacki/blob/master/LICENSE.txt
# @copyright@
import sys
import getopt
import stack.mq
import json
import zmq
try:
opt, args = getopt.getopt(sys.argv[1:], 'c:H:',['command','host'])
except getopt.GetoptError:
print('usage: [ -c enable | disable | status ] [ -H host ] {channel}')
sys.exit(-1)
control = 'smq'
command = 'enable'
host = 'localhost'
for o, a in opt:
if o in ['-h','--help']:
usage()
elif o in ['-c', '--command']:
command = a.strip()
elif o in ['-H','--host']:
host = a.strip()
try:
channel = args[0].strip()
except:
channel = control
message = {'channel': channel, 'type':'','command':command}
context = zmq.Context()
sock = context.socket(zmq.REQ)
sock.connect("tcp://%s:%d" % (host, stack.mq.ports.control))
sock.send_string(json.dumps(message))
m = sock.recv().decode()
print (m)
| [
1,
529,
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29895,
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29914,
1429,
29875,
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2141,
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580,
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2158,
313,
29885,
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13,
13,
2
] |
ukz/midi/writer.py | clauderichard/Ultrakazoid | 0 | 118119 | <gh_stars>0
import math
from .byteutil import *
from .config import MidiConfig
################################################
# Note: There are 24 MIDI clocks per quarter-note, apparently...
################################################
class EventCategory:
TIMESIGNATURE = 0
TEMPOCHANGE = 1
PROGRAMCHANGE = 2
CONTROLCHANGE = 10
NOTEOFF = 21 # note off BEFORE note on
NOTEON = 22
################################################
class MidiWriter:
def __init__(self,filename):
self.file = open(filename,'wb')
self.eventByteArray = bytearray(b'')
# self.eventBytes = []
self.evs = []
self.__addTimeSignature()
self.ch = 0
self.endTicks = 0
self.tempoMultiplier = 1
self.__initForCh()
def setTpb(self,tpb):
MidiConfig.tpb = tpb # ukz's tpb
self.tempoMultiplier = 1
if tpb > 127:
for i in range(2,1000):
if tpb%i==0 and tpb//i <= 127:
self.tpb = tpb//i #header's tpb
self.tempoMultiplier = i
return
raise Exception(f"Value tpb={tpb} is a bad one")
else:
self.tpb = tpb
self.tempoMultiplier = 1
def __addTimeSignature(self):
# Time signature bytes: FF 58 04 nn dd cc bb
# The fraction you see on a score would be nn / 2^dd
# (denominator always has to be power of 2)
# cc = number of MIDI clocks in a metronome click.
# bb = number of notated 32nd-notes in a MIDI quarter-note.
# bb was added in MIDI to support legacy(?)
self.__addGenericEvent(0, EventCategory.TIMESIGNATURE, b'\xFF\x58\x04\x04\x02\x24\x08')
# def getMaxEventBeats(self):
# maxTicks = max(map(lambda e: e[0], self.evs))
# return maxTicks / MidiConfig.tpb
def getMaxEventTicks(self):
return max(map(lambda e: e[0], self.evs))
def __initForCh(self):
chBytePos = self.ch << 16
self.chNoteOn = 0x900000 | chBytePos
self.chNoteOff = 0x800000 | chBytePos
self.chPitchBend = 0xE00000 | chBytePos
def switchToChannel(self,channelNumber):
if channelNumber < 0 or channelNumber > 15:
raise ValueError("Bad channel number")
self.ch = channelNumber
self.__initForCh()
def __addGenericEvent(self,time,category,eventBytes):
if isinstance(time,float):
raise 'what!'
timeTicks = time
self.evs.append((timeTicks,category,eventBytes))
# Argument tempo in beats per minute
def addTempoChange(self,t,beatsPerMinute):
if t < 0:
raise ValueError("Negative time!")
if beatsPerMinute < 1:
raise Exception("That's a little too slow, man.")
# One beat is 24 ticks.
# bpm = 120 => µsecsPerBeat = 500,000
microsecondsPerBeat = 60000000//beatsPerMinute
# X beat/min == Y µsec/beat
# 1 min = X beats = (X*Y) µsecs
# 1 min = 60 million µsecs
# 0xA120 in decimal is 500000
self.addTempoChangeMicroseconds(t,microsecondsPerBeat)
# Argument tempo in beats per minute
def addTempoChangeMicroseconds(self,t,microsecondsPerBeat):
if t < 0:
raise ValueError("Negative time!")
if self.tempoMultiplier > 1:
microsecondsPerBeat = microsecondsPerBeat // self.tempoMultiplier
if microsecondsPerBeat < 1:
raise Exception("That's a little too fast, man.")
if microsecondsPerBeat >= 2**24:
raise Exception("That's a little too slow, man.")
theBytes = bytearray(b'\xFF\x51') + intToLengthedBytes3(microsecondsPerBeat)
self.__addGenericEvent(t, EventCategory.TEMPOCHANGE, theBytes)
def addProgramChanges(self,t,channelPrograms):
for ch,prog in channelPrograms:
if t < 0:
raise ValueError("Negative time!")
if prog < 0 or prog > 127:
raise ValueError("Bad program number")
theBytes = bytearray([0xc0 | ch,prog])
self.__addGenericEvent(0, EventCategory.PROGRAMCHANGE, theBytes)
def addProgramChange(self,ch,t,prog):
if t < 0:
raise ValueError("Negative time!")
if prog < 0 or prog > 127:
raise ValueError("Bad program number")
#theBytes = prog | ((0xc0 | self.ch)<<8).to_bytes(2)
theBytes = bytearray([0xc0 | ch,prog])
self.__addGenericEvent(0, EventCategory.PROGRAMCHANGE, theBytes)
################################################
def addInitialVolumes(self,time,channelVolumes):
for ch,vol in channelVolumes:
self.addControllerEvent(ch,7,time,vol)
self.addControllerEvent(ch,11,time,127)
def addInitialVolume(self,ch,time,vol):
self.addControllerEvent(ch,7,time,vol)
self.addControllerEvent(ch,11,time,127)
def addControllerEvent(self,ch,ctrl,time,val):
if val < 0 or val > 127:
raise Exception("Bend out of range!")
if time < 0:
raise Exception("Time negative!")
theBytes = bytearray([0xB0 | ch, ctrl, val])
self.__addGenericEvent(time, EventCategory.CONTROLCHANGE, theBytes)
def addControllerEventStream(self,ctrl,channelTimeVals):
evs = self.evs
category = EventCategory.CONTROLCHANGE
for ch,time,val in channelTimeVals:
if val < 0 or val > 127:
raise Exception("Bend out of range!")
if time < 0:
raise Exception("Time negative!")
theBytes = bytearray([0xB0 | ch, ctrl, val])
# self.__addGenericEvent(time, EventCategory.CONTROLCHANGE, theBytes)
timeTicks = time
evs.append((timeTicks,category,theBytes))
################################################
# Assume this works like any other controller.
# But here we map bend value to the range
# that MIDI's pitch-bend event expects.
def addPitchBend(self,ch,time,bend):
if bend < 0 or bend > 127:
raise Exception("Bend out of range!")
if time < 0:
raise Exception("Time negative!")
#theBytes = (self.chPitchBend | (bend<<8) | bend).to_bytes(3,'big')
theBytes = bytearray([0xE0 | ch, bend, bend])
self.__addGenericEvent(time, EventCategory.CONTROLCHANGE, theBytes)
def addNotes(self,notes):
for note in notes:
if note.p < 0 or note.p > 127:
raise Exception("Pitch out of range!")
if note.t < 0:
raise Exception("Time negative!")
if note.d < 0:
raise Exception("Duration negative!")
if note.l < 0 or note.l > 127:
raise Exception("Velocity out of range!")
# 0x90 is status byte for noteOn
# 0x80 is status byte for noteOff
# theBytesOn = (self.chNoteOn | (pitch<<8) | vel).to_bytes(3,'big')
theBytesOn = bytearray([0x90 | note.c, note.p, note.l])
# theBytesOff = (self.chNoteOff | (pitch<<8) | vel).to_bytes(3,'big')
theBytesOff = bytearray([0x80 | note.c, note.p, note.l])
timeTicksOn = note.t
timeTicksOff = note.t+note.d
if isinstance(timeTicksOn,float) or isinstance(timeTicksOff,float):
raise 'what!'
self.evs.append((timeTicksOn, EventCategory.NOTEON, theBytesOn))
self.evs.append((timeTicksOff, EventCategory.NOTEOFF, theBytesOff))
def setEndTime(self,t):
self.endTicks = t
def __setEventBytes(self):
self.evs.sort()
curtimeTicks = 0
self.eventByteArray = bytearray(b'')
bs = bytearray()
for timeTicks,_,ebytes in self.evs:
deltaTicks = timeTicks-curtimeTicks
# self.eventByteArray.extend(intToVarLengthBytes(deltaTicks))
if deltaTicks==0:
self.eventByteArray += b'\x00'
else:
bs.clear()
bs.insert(0, deltaTicks % 128) # rightmost byte, bit 7 NOT set
m = deltaTicks >> 7
while m > 0:
bs.insert(0, (m % 128) | 0x80) # NOT rightmost byte, bit 7 IS set
m >>= 7
self.eventByteArray += bs
self.eventByteArray.extend(ebytes)
curtimeTicks = timeTicks
deltaTicks = self.endTicks - curtimeTicks
self.eventByteArray.extend(intToVarLengthBytes(deltaTicks))
self.eventByteArray.extend(b'\xFF\x2F\x00')
# self.eventByteArray.extend(b'\x00\xFF\x2F\x00') # track end
def writeFile(self):
self.__writeHeaderChunk()
self.__setEventBytes()
self.__writeChunk(b'MTrk',self.eventByteArray)
self.file.close()
def __writeChunk(self,typenameBytes,chunkBytesArray):
self.__writeBytes(typenameBytes)
self.__writeBytes(intToBytes(len(chunkBytesArray), 4))
self.__writeBytes(chunkBytesArray)
def __writeHeaderChunk(self):
headerBytes = bytearray(b'\x00\x00\x00\x01\x00')
headerBytes += bytes([self.tpb])
self.__writeChunk(b'MThd',headerBytes)
def __writeBytes(self,theBytes):
self.file.write(theBytes)
| [
1,
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303,
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] |
mailbag/emailModel.py | UAlbanyArchives/mailbag | 19 | 181860 | from jsonmodels import models, fields, errors, validators
class Email(models.Base):
"""EmailModel - model class for email formats"""
Message_ID = fields.StringField(required=True)
Email_Folder = fields.StringField()
Original_Filename = fields.StringField()
Date = fields.StringField()
From = fields.StringField()
To = fields.StringField()
Cc = fields.StringField()
Bcc = fields.StringField()
Subject = fields.StringField()
Content_Type = fields.StringField() | [
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examples/photovoltaic/PVProfileInitialization.py | noah80/tsib | 14 | 1615256 | <reponame>noah80/tsib
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: percent
# format_version: '1.3'
# jupytext_version: 1.4.2
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# %% [markdown]
# # Test weather data and pvlib
# %%
import matplotlib.pyplot as plt
# %matplotlib inline
# %load_ext autoreload
# %autoreload 2
import tsib
# %% [markdown]
# ## 1. Simulate PV with TRY data
# %%
try_data, loc = tsib.readTRY(5)
# %%
tmy_data = tsib.TRY2TMY(try_data)
# %%
pv_try, space_cov = tsib.simPhotovoltaic(tmy_data, latitude = loc['latitude'], longitude = loc['longitude'],
losses = 0.1,integrateInverter = True)
# %%
pv_try.sum()
# %%
pv_try.plot()
# %% [markdown]
# ## 2. Simulate with COSMO6 data
# %%
try_data, identifier = tsib.readCosmo(os.path.join(os.environ['DATA_SHARE'],
'weather','cosmo','rea6','processed'),
loc['longitude'], loc['latitude'], 2010 )
# %%
tmy_data = tsib.TRY2TMY(try_data)
# %%
pv_try, space_cov = tsib.simPhotovoltaic(tmy_data, latitude = loc['latitude'], longitude = loc['longitude'],
losses = 0.1)
# %%
pv_try.sum()
# %%
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] |
Utils.py | MartinEngen/NaiveBayesianClassifier | 0 | 5131 | <filename>Utils.py
import os
import re
def get_subfolder_paths(folder_relative_path: str) -> list:
"""
Gets all subfolders of a given path
:param folder_relative_path: Relative path of folder to find subfolders of
:return: list of relative paths to any subfolders
"""
return [f.path for f in os.scandir(folder_relative_path) if f.is_dir()]
def get_group_name(group_path: str) -> str:
return group_path.split("\\")[-1]
def replace_unwanted_characters(line: str) -> str:
return re.sub(
r'([^\s\w]|_)+',
u' ',
line.replace('\n', ' ').replace('\t', ' '),
flags=re.UNICODE
)
def clean_document(document_file) -> list:
document = document_file.read().lower().split("\n\n")
cleaned_lines = list(map(replace_unwanted_characters, document[1:]))
# lambda x, y: x + y, a, b
list_of_lines = map(lambda x: x.split(" "), cleaned_lines)
flattened_list_of_lines = [val for sublist in list_of_lines for val in sublist]
return filter(lambda x: x != '', flattened_list_of_lines)
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] |
app/migrations/0002_participant.py | mma22-git/woc3.0-eventmanager-Meet_Mungra | 0 | 166715 | <gh_stars>0
# Generated by Django 3.1.5 on 2021-01-19 09:44
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('app', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='Participant',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('Name', models.CharField(max_length=30)),
('Contact', models.IntegerField(max_length=10)),
('Email', models.EmailField(max_length=100)),
('Checked', models.CharField(default='Some', max_length=1000)),
('Reg_type', models.CharField(choices=[('I', 'Individual'), ('G', 'Group')], max_length=30)),
('No_of', models.CharField(default='0', max_length=10)),
],
),
]
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zfused_maya/zfused_maya/tool/animation/studiolibrary/packages/mutils/gui/__init__.py | zhoulh0322/zfused_outsource_old | 1 | 190273 | <reponame>zhoulh0322/zfused_outsource_old<gh_stars>1-10
# Copyright 2016 by <NAME>. All Rights Reserved.
#
# Permission to use, modify, and distribute this software and its
# documentation for any purpose and without fee is hereby granted,
# provided that the above copyright notice appear in all copies and that
# both that copyright notice and this permission notice appear in
# supporting documentation, and that the name of <NAME>
# not be used in advertising or publicity pertaining to distribution
# of the software without specific, written prior permission.
# KURT RATHJEN DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS SOFTWARE, INCLUDING
# ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL
# KURT RATHJEN BE LIABLE FOR ANY SPECIAL, 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.
try:
import maya.OpenMayaUI as omui
except ImportError, e:
print e
from studioqt import QtCore
from studioqt import QtWidgets
try:
from shiboken2 import wrapInstance
except ImportError:
try:
from shiboken import wrapInstance
except ImportError, e:
print e
from .framerangemenu import FrameRangeMenu
from .framerangemenu import showFrameRangeMenu
from .modelpanelwidget import ModelPanelWidget
from .thumbnailcapturedialog import *
def mayaWindow():
"""
Return the Maya main window as a QMainWindow object.
:rtype: QMainWindow
"""
mainWindowPtr = omui.MQtUtil.mainWindow()
return wrapInstance(long(mainWindowPtr), QtWidgets.QMainWindow)
def makeMayaStandaloneWindow(w):
"""
Make a standalone window, though parented under Maya's mainWindow.
The parenting under Maya's mainWindow is done so that the QWidget will
not auto-destroy itself when the instance variable goes out of scope.
"""
# Parent under the main Maya window
w.setParent(mayaWindow())
# Make this widget appear as a standalone window
w.setWindowFlags(QtCore.Qt.Window)
w.raise_()
w.show()
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controller/school.py | YunYinORG/social | 4 | 96473 | <gh_stars>1-10
#!/usr/bin/env python
# coding=utf-8
import web
import lib.user as user
class nku(object):
"""南开"""
def GET(self):
userinfo=user.getUser()
render = web.template.render ('templates/school/',base="layout")
if userinfo:
return render.nku(userinfo)
else:
return render.nku_unlogin() | [
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EXC/CW2/task1/reducer.py | easyCZ/UoE-Projects | 0 | 125450 | #!/usr/bin/python
# reducer.py
import sys
word_counter = 0
last_word = None
word_documents = []
def write(keyword, total, documents):
docs = ", ".join(["(%s, %d)" % (doc, count) for doc, count in documents])
docs = "{%s}" % docs
print("{0} : {1} : {2}".format(keyword, total, docs))
# Input is sorted primarily by word, secondarily by
# document name. Single pass is required without doing any
# sorting.
#
# Expected input:
# also d1.txt 13
# also d3.txt 8
# also d4.txt 3
# altered d5.txt 1
# althorp d5.txt 2
for line in sys.stdin:
word, doc, count = line.split(' ', 2)
if last_word is not None and last_word != word:
# Cleanup after last block
write(last_word, word_counter, word_documents)
# Start new block
word_documents = []
word_counter = 0
count = int(count)
last_word = word
word_counter += count
word_documents.append((doc, count))
if last_word is not None:
write(last_word, word_counter, word_documents)
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metadyn.py | schneiderfelipe/scripts | 0 | 77802 | #!/usr/bin/python3
"""Analyse metadynamics trajectories from xtb."""
import argparse
import numpy as np
import matplotlib.pyplot as plt
import MDAnalysis as mda
import MDAnalysis.analysis.pca as pca
from MDAnalysis.lib import distances
from scipy.constants import calorie
from scipy.constants import kilo
from scipy.constants import N_A
from scipy.constants import physical_constants
from scipy import stats
from rmsd import element
from rmsd import read_xyz
hartree, _, _ = physical_constants["Hartree energy"]
commands = {
"q": "exit",
"h": "help",
"e": "energies",
"s": "current selection",
"p": "graph",
"*anything else*": "any MDAnalysis selection, see <https://userguide.mdanalysis.org/selections.html>.",
}
def main():
"""Run main procedure."""
# TODO(schneiderfelipe): accept multiple files
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("traj_files", nargs="+")
args = parser.parse_args()
gnorms = []
energies = []
all_atomnos = []
all_atomcoords = []
for traj_file in args.traj_files:
atomnos, comments, atomcoords = read_xyz(traj_file)
all_atomnos.extend(atomnos)
all_atomcoords.extend(atomcoords)
for comment in comments:
fields = comment.split()
gnorms.append(float(fields[3]))
energies.append(float(fields[1]))
energies = np.array(energies)
energies -= energies.min()
energies *= hartree * N_A / (kilo * calorie)
u = mda.Universe.empty(n_atoms=len(all_atomnos[0]), trajectory=True)
u.add_TopologyAttr("type", [element[i] for i in all_atomnos[0]])
u.load_new(all_atomcoords, order="fac")
print(u)
selection = None
print("(enter 'q' for exit, 'h' for help)")
while True:
code = input("select> ").strip().split()
if code[0] == "q":
break
elif code[0] == "h":
for key in commands:
print(f"{key:15s}: {commands[key]}")
elif code[0] == "e":
fig, ax = plt.subplots(2)
ax[0].plot(energies)
ax[0].set_xlabel("frame")
ax[0].set_ylabel("energy (kcal/mol)")
ax[1].plot(gnorms)
ax[1].set_xlabel("frame")
ax[1].set_ylabel("grad. norm (Eh/a0)")
plt.show()
elif code[0] == "s":
print(selection)
if selection is not None:
print(selection_text)
elif code[0] == "pca":
if selection is None:
print("empty selection, doing nothing")
continue
p = pca.PCA(u, select=selection_text)
p.run()
n_pcs = np.where(p.cumulated_variance > 0.95)[0][0]
print(n_pcs)
print(p.cumulated_variance[0:n_pcs])
pca_space = p.transform(selection, n_components=n_pcs)
print(pca_space)
print(pca.cosine_content(pca_space, 0))
elif code[0] == "p":
if selection is None:
print("empty selection, doing nothing")
continue
n = len(selection)
if n == 2:
data_label = "bond length (Å)"
elif n == 3:
data_label = "bond angle (°)"
elif n == 4:
data_label = "dihedral angle (°)"
else:
print("too few or too many indices")
continue
data = []
for i, (e, ts) in enumerate(zip(energies, u.trajectory)):
if n == 2:
d = distances.calc_bonds(
selection[0].position, selection[1].position
)
elif n == 3:
d = np.degrees(
distances.calc_angles(
selection[0].position,
selection[1].position,
selection[2].position,
)
)
elif n == 4:
d = np.degrees(
distances.calc_dihedrals(
selection[0].position,
selection[1].position,
selection[2].position,
selection[3].position,
)
)
data.append(d)
if i % 100 == 0 or i == len(u.trajectory) - 1:
print(
f"frame = {ts.frame:4d}: e = {e:5.1f} kcal/mol, {data_label.split('(')[0][:-1]} = {d:7.3f} {data_label[-2]}"
)
data = np.array(data)
fig, ax = plt.subplots(1, 2)
ax[0].plot(data)
ax[0].set_xlabel("frame")
ax[0].set_ylabel(data_label)
ax[1].plot(energies, data, "o", label="data points")
ax[1].set_xlabel("energy (kcal/mol)")
ax[1].set_ylabel(data_label)
if n == 2:
dx = 0.1
elif n == 3:
dx = 10.0
elif n == 4:
dx = 10.0
res = stats.binned_statistic(
data, energies, "min", min(25, (data.max() - data.min()) / dx)
)
# print(res.statistic)
mask = np.isnan(res.statistic)
res.statistic[mask] = np.interp(
np.flatnonzero(mask), np.flatnonzero(~mask), res.statistic[~mask]
)
# print(res.statistic)
# ax[1].hlines(res.statistic, res.bin_edges[:-1], res.bin_edges[1:], colors='g', lw=2, label='binned min. energies')
ax[1].barh(
(res.bin_edges[:-1] + res.bin_edges[1:]) / 2,
res.statistic,
align="center",
height=res.bin_edges[1:] - res.bin_edges[:-1],
alpha=0.25,
label="binned min. energies",
)
ax[1].legend()
plt.show()
else:
try:
selection_text = " ".join(code)
selection = u.select_atoms(selection_text)
except mda.exceptions.SelectionError as e:
print(e)
print("bye")
if __name__ == "__main__":
main()
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django-rest-framework-api/artists/tasks.py | mattd429/django-rest-framework-musicbrainz-api | 1 | 76103 | <reponame>mattd429/django-rest-framework-musicbrainz-api
# Django
from django.utils.text import slugify
# Celery
from celery import shared_task
# Local
from artists.models import Artist, Album, Track
# Musicbrainz
import musicbrainzngs as mb
mb.set_useragent('Mbrown - <EMAIL>', version='1.0.1')
@shared_task
def get_artist_tracks_from_musicbrianz_api(artist):
search_results = mb.search_artists(artist)
result = search_results['artist-list'][0]
genre = Artist.get_genre_from_musicbrainz_tag_list(result['tag-list'])
for album_dict in mb.browse_releases(result['id'], includes=['recordings'])['release-list']:
album = Album.objects.create(name=album_dict['title'], artist=artist, slug=slugify(album_dict['title']))
for track_dict in album_dict['medium-list'][0]['track-list']:
track = Track.objects.create(album=album, name=track_dict['recording']['title'],
track_number=track_dict['position'],
slug=slugify(track_dict['recording']['title']))
Artist.objects.create(track=track, artist=artist, genre=genre, slug=slugify(artist))
return Artist.objects.filter(artist=artist)
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2
] |
sdk/boost_1_30_0/libs/python/test/str.py | acidicMercury8/xray-1.0 | 2 | 42413 | """
>>> from str_ext import *
>>> def printer(*args):
... for x in args: print x,
... print
...
>>> work_with_string(printer)
['this', 'is', 'a', 'demo', 'string']
['this', 'is', 'a', 'demo string']
this<->is<->a<->demo<->string
This is a demo string
[ this is a demo string ]
2
this is a demo string
this is a demo string
0
0
['this is a demo string']
this is a demo string
THIS IS A DEMO STRING
This Is A Demo String
find
10
10 3 5
10
10
expandtabs
tab demo !
tab demo !
tab demo !
operators
part1part2
this is a blabla string
18
18
0
0
aaaaaaaaaaaaaaaaaaaaa
"""
def run(args = None):
import sys
import doctest
if args is not None:
sys.argv = args
return doctest.testmod(sys.modules.get(__name__))
if __name__ == '__main__':
print "running..."
import sys
sys.exit(run()[0])
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