blob_id
stringlengths 40
40
| directory_id
stringlengths 40
40
| path
stringlengths 3
281
| content_id
stringlengths 40
40
| detected_licenses
listlengths 0
57
| license_type
stringclasses 2
values | repo_name
stringlengths 6
116
| snapshot_id
stringlengths 40
40
| revision_id
stringlengths 40
40
| branch_name
stringclasses 313
values | visit_date
timestamp[us] | revision_date
timestamp[us] | committer_date
timestamp[us] | github_id
int64 18.2k
668M
⌀ | star_events_count
int64 0
102k
| fork_events_count
int64 0
38.2k
| gha_license_id
stringclasses 17
values | gha_event_created_at
timestamp[us] | gha_created_at
timestamp[us] | gha_language
stringclasses 107
values | src_encoding
stringclasses 20
values | language
stringclasses 1
value | is_vendor
bool 2
classes | is_generated
bool 2
classes | length_bytes
int64 4
6.02M
| extension
stringclasses 78
values | content
stringlengths 2
6.02M
| authors
listlengths 1
1
| author
stringlengths 0
175
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1d0479b10748363c8598f680dd8ac691974f0c9e
|
11060ca244940baef96a51d794d73aab44fc31c6
|
/src/brainstorming/tornado/modbus/pymodbus/__init__.py
|
0bb3d9b53e2360b44fb5246e72a6c065e1fdb427
|
[] |
no_license
|
D3f0/txscada
|
eb54072b7311068a181c05a03076a0b835bb0fe1
|
f8e1fd067a1d001006163e8c3316029f37af139c
|
refs/heads/master
| 2020-12-24T06:27:17.042056 | 2016-07-27T17:17:56 | 2016-07-27T17:17:56 | 3,565,335 | 9 | 1 | null | null | null | null |
UTF-8
|
Python
| false | false | 1,280 |
py
|
"""
Pymodbus: Modbus Protocol Implementation
-----------------------------------------
This package can supply modbus clients and servers:
client:
- Can perform single get/set on discretes and registers
- Can perform multiple get/set on discretes and registers
- Working on diagnostic/file/pipe/setting/info requets
- Can fully scrape a host to be cloned
server:
- Can function as a fully implemented TCP modbus server
- Working on creating server control context
- Working on serial communication
- Working on funtioning as a RTU/ASCII
- Can mimic a server based on the supplied input data
TwistedModbus is built on top of the Pymodbus developed from code by:
Copyright (c) 2001-2005 S.W.A.C. GmbH, Germany.
Copyright (c) 2001-2005 S.W.A.C. Bohemia s.r.o., Czech Republic.
Hynek Petrak <[email protected]>
Released under the the GPLv2
"""
from pymodbus.version import _version
__version__ = _version.short().split('+')[0]
#---------------------------------------------------------------------------#
# Block unhandled logging
#---------------------------------------------------------------------------#
import logging
class NullHandler(logging.Handler):
def emit(self, record):
pass
h = NullHandler()
logging.getLogger("pymodbus").addHandler(h)
|
[
"devnull@localhost"
] |
devnull@localhost
|
ecd8d07132fc023bd95ecb028e217314c73808bb
|
45846afd99534f4282bf7eac24de37e9b470f603
|
/Task4_HSV_Red_Tracker.py
|
346cb18230c06ccd319cbab12563b5e3cac626a9
|
[] |
no_license
|
therealhuy/180DA-WarmUp
|
e27c44fe2bb205badcdf6f4eac89d61a0c07ffd8
|
94700c1e9003b9790af73c2d8448f0f85d0c1f3d
|
refs/heads/main
| 2023-01-10T13:11:33.113062 | 2020-11-12T20:59:43 | 2020-11-12T20:59:43 | 300,744,767 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 2,003 |
py
|
'''
This file tracks red objects (in this case I'm using a Tesla bookmark)
The following code is adapted from the OpenCV tutorials (changing color space)
and contours in particular. Drawing the bounding boxes was taken from
stackoverflow, the tutorial was confusing me. Makes sense what s/he did.
Modified it to work when no red contours are present (would crash due to
attempting to due np.argmax of empty array)
'''
import cv2
import numpy as np
cap = cv2.VideoCapture(0)
while(1):
# Take each frame from camera
_, frame = cap.read()
# Convert BGR to HSV
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
# define range of blue color in HSV
lower_red = np.array([0,130,130])
upper_red = np.array([10,255,255])
# Threshold the HSV image to get only red colors
mask = cv2.inRange(hsv, lower_red, upper_red)
# Bitwise-AND mask and original image
res = cv2.bitwise_and(frame,frame, mask= mask)
cv2.imshow('mask',mask)
cv2.imshow('res',res)
'''
Code within this was taken from https://stackoverflow.com/questions/16538774/dealing-with-contours-and-bounding-rectangle-in-opencv-2-4-python-2-7
The code below basically finds the largest contour and then creates the bounding rectangle.
Added in if areas: statement to prevent crash when no red color/contour is found
'''
contours, hierarchy = cv2.findContours(mask, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
areas = [cv2.contourArea(c) for c in contours]
if areas:
max_index = np.argmax(areas)
cnt=contours[max_index]
areas = [cv2.contourArea(c) for c in contours]
max_index = np.argmax(areas)
cnt=contours[max_index]
x,y,w,h = cv2.boundingRect(cnt)
cv2.rectangle(frame,(x,y),(x+w,y+h),(0,255,0),2)
# -------------------------------------------------------------------
cv2.imshow('frame',frame)
#cv2.imshow('im4',im4)
k = cv2.waitKey(5) & 0xFF
if k == 27:
break
cv2.destroyAllWindows()
|
[
"[email protected]"
] | |
d79b27996f9bf2eba24a2b437fc7fa50f14daa8a
|
3990af3b0f5ea1597ffb6e58530d185127790ade
|
/example_cBioF_usage/TPOT_pipeline_MO.py
|
88f8af42eebe792338eb72d0b169acd6c5277ca4
|
[] |
no_license
|
TimBeishuizen/cBioF
|
47e0ddc540dfbd44346b7cf4323130b38147db2d
|
f8ef965ad904e72157527f258bdc7760a795b99a
|
refs/heads/master
| 2020-03-30T16:01:19.879298 | 2018-10-16T08:43:02 | 2018-10-16T08:43:02 | 151,389,837 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 1,462 |
py
|
import numpy as np
import pandas as pd
from sklearn.ensemble import ExtraTreesClassifier, RandomForestClassifier
from sklearn.feature_selection import RFE, SelectPercentile, f_classif
from sklearn.model_selection import train_test_split
from sklearn.pipeline import make_pipeline, make_union
from sklearn.preprocessing import Binarizer
from sklearn.svm import LinearSVC
from tpot.builtins import StackingEstimator
# NOTE: Make sure that the class is labeled 'target' in the data file
tpot_data = pd.read_csv('PATH/TO/DATA/FILE', sep='COLUMN_SEPARATOR', dtype=np.float64)
features = tpot_data.drop('target', axis=1).values
training_features, testing_features, training_target, testing_target = \
train_test_split(features, tpot_data['target'].values, random_state=42)
# Score on the training set was:0.04583703480408602
exported_pipeline = make_pipeline(
SelectPercentile(score_func=f_classif, percentile=45),
RFE(estimator=ExtraTreesClassifier(criterion="entropy", max_features=0.35000000000000003, n_estimators=100), step=0.9500000000000001),
Binarizer(threshold=0.8),
StackingEstimator(estimator=RandomForestClassifier(bootstrap=False, criterion="gini", max_features=0.25, min_samples_leaf=19, min_samples_split=19, n_estimators=100)),
LinearSVC(C=10.0, dual=False, loss="squared_hinge", penalty="l1", tol=0.1)
)
exported_pipeline.fit(training_features, training_target)
results = exported_pipeline.predict(testing_features)
|
[
"[email protected]"
] | |
3701dcb0526d0abec2a1850baf3176ed362ec0d1
|
d0eb582894eff3c44e3de4bd50f571f9d9ab3a02
|
/venv/lib/python3.7/site-packages/flake8/plugins/pyflakes.py
|
018d1c98a1f847fa743d847fa6d66a99ac4dbc0c
|
[
"MIT"
] |
permissive
|
tdle94/app-store-scrapper
|
159187ef3825213d40425215dd9c9806b415769e
|
ed75880bac0c9ef685b2c1bf57a6997901abface
|
refs/heads/master
| 2022-12-20T21:10:59.621305 | 2020-10-28T00:32:21 | 2020-10-28T00:32:21 | 247,291,364 | 1 | 2 |
MIT
| 2022-12-08T03:53:08 | 2020-03-14T14:25:44 |
Python
|
UTF-8
|
Python
| false | false | 6,021 |
py
|
"""Plugin built-in to Flake8 to treat pyflakes as a plugin."""
# -*- coding: utf-8 -*-
from __future__ import absolute_import
try:
# The 'demandimport' breaks pyflakes and flake8.plugins.pyflakes
from mercurial import demandimport
except ImportError:
pass
else:
demandimport.disable()
import os
from typing import List
import pyflakes
import pyflakes.checker
from flake8 import utils
FLAKE8_PYFLAKES_CODES = {
"UnusedImport": "F401",
"ImportShadowedByLoopVar": "F402",
"ImportStarUsed": "F403",
"LateFutureImport": "F404",
"ImportStarUsage": "F405",
"ImportStarNotPermitted": "F406",
"FutureFeatureNotDefined": "F407",
"MultiValueRepeatedKeyLiteral": "F601",
"MultiValueRepeatedKeyVariable": "F602",
"TooManyExpressionsInStarredAssignment": "F621",
"TwoStarredExpressions": "F622",
"AssertTuple": "F631",
"IsLiteral": "F632",
"InvalidPrintSyntax": "F633",
"BreakOutsideLoop": "F701",
"ContinueOutsideLoop": "F702",
"ContinueInFinally": "F703",
"YieldOutsideFunction": "F704",
"ReturnWithArgsInsideGenerator": "F705",
"ReturnOutsideFunction": "F706",
"DefaultExceptNotLast": "F707",
"DoctestSyntaxError": "F721",
"ForwardAnnotationSyntaxError": "F722",
"CommentAnnotationSyntaxError": "F723",
"RedefinedWhileUnused": "F811",
"RedefinedInListComp": "F812",
"UndefinedName": "F821",
"UndefinedExport": "F822",
"UndefinedLocal": "F823",
"DuplicateArgument": "F831",
"UnusedVariable": "F841",
"RaiseNotImplemented": "F901",
}
class FlakesChecker(pyflakes.checker.Checker):
"""Subclass the Pyflakes checker to conform with the flake8 API."""
name = "pyflakes"
version = pyflakes.__version__
with_doctest = False
include_in_doctest = [] # type: List[str]
exclude_from_doctest = [] # type: List[str]
def __init__(self, tree, file_tokens, filename):
"""Initialize the PyFlakes plugin with an AST tree and filename."""
filename = utils.normalize_path(filename)
with_doctest = self.with_doctest
included_by = [
include
for include in self.include_in_doctest
if include != "" and filename.startswith(include)
]
if included_by:
with_doctest = True
for exclude in self.exclude_from_doctest:
if exclude != "" and filename.startswith(exclude):
with_doctest = False
overlaped_by = [
include
for include in included_by
if include.startswith(exclude)
]
if overlaped_by:
with_doctest = True
super(FlakesChecker, self).__init__(
tree,
filename=filename,
withDoctest=with_doctest,
file_tokens=file_tokens,
)
@classmethod
def add_options(cls, parser):
"""Register options for PyFlakes on the Flake8 OptionManager."""
parser.add_option(
"--builtins",
parse_from_config=True,
comma_separated_list=True,
help="define more built-ins, comma separated",
)
parser.add_option(
"--doctests",
default=False,
action="store_true",
parse_from_config=True,
help="check syntax of the doctests",
)
parser.add_option(
"--include-in-doctest",
default="",
dest="include_in_doctest",
parse_from_config=True,
comma_separated_list=True,
normalize_paths=True,
help="Run doctests only on these files",
type="string",
)
parser.add_option(
"--exclude-from-doctest",
default="",
dest="exclude_from_doctest",
parse_from_config=True,
comma_separated_list=True,
normalize_paths=True,
help="Skip these files when running doctests",
type="string",
)
@classmethod
def parse_options(cls, options):
"""Parse option values from Flake8's OptionManager."""
if options.builtins:
cls.builtIns = cls.builtIns.union(options.builtins)
cls.with_doctest = options.doctests
included_files = []
for included_file in options.include_in_doctest:
if included_file == "":
continue
if not included_file.startswith((os.sep, "./", "~/")):
included_files.append("./" + included_file)
else:
included_files.append(included_file)
cls.include_in_doctest = utils.normalize_paths(included_files)
excluded_files = []
for excluded_file in options.exclude_from_doctest:
if excluded_file == "":
continue
if not excluded_file.startswith((os.sep, "./", "~/")):
excluded_files.append("./" + excluded_file)
else:
excluded_files.append(excluded_file)
cls.exclude_from_doctest = utils.normalize_paths(excluded_files)
inc_exc = set(cls.include_in_doctest).intersection(
cls.exclude_from_doctest
)
if inc_exc:
raise ValueError(
'"%s" was specified in both the '
"include-in-doctest and exclude-from-doctest "
"options. You are not allowed to specify it in "
"both for doctesting." % inc_exc
)
def run(self):
"""Run the plugin."""
for message in self.messages:
col = getattr(message, "col", 0)
yield (
message.lineno,
col,
"{} {}".format(
FLAKE8_PYFLAKES_CODES.get(type(message).__name__, "F999"),
message.message % message.message_args,
),
message.__class__,
)
|
[
"[email protected]"
] | |
d334f13335a62cb992368549de87da8292848dcd
|
9e068ebd43b0092c760cdb5eefb4301259c45a9e
|
/59CriandoMenuDeOpções.py
|
2ea92f32b469d54f5f056fd71e1835c61d4d1bc4
|
[] |
no_license
|
patriciadamasceno33/Python
|
7c950aa4ed2a80b9efc0fc668938c107474323f4
|
06d6e24544c0722856be4ade988293a3781cd6e1
|
refs/heads/master
| 2023-06-30T15:53:27.580214 | 2021-08-08T01:36:51 | 2021-08-08T01:36:51 | 378,244,343 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 1,020 |
py
|
from time import sleep
n1 = int(input('Primeiro Valor: '))
n2 = int(input('Segundo valor: '))
op = 0
while op != 5:
print(''' 1 - Somar
2 - Multiplicar
3 - Maior
4 - Novos números
5 = Sair ''')
op = int(input('Escolha sua opcao: '))
if op == 1:
result = n1 + n2
print('A soma entre {} + {} é: {}'.format(n1, n2, result))
elif op == 2:
result = n1 * n2
print('A multiplicação entre {} e {} é: {}'.format(n1, n2, result))
elif op == 3:
if n1 > n2:
result = n1
print('O maior numero entre {} e {} é: {}'.format(n1, n2, result))
else:
result = n2
print('O maior numero entre {} e {} é: {}'.format(n1, n2, result))
elif op == 4:
n1 = int(input('Primeiro Valor: '))
n2 = int(input('Segundo valor: '))
elif op == 5:
print('Saindo...')
else:
print('Opção inválida. Tente novamente!')
print('-'*40)
sleep(2)
print('Fim do programa')
|
[
"[email protected]"
] | |
dcb20cccaebebc176ef2304d0cd72b988c59f03b
|
6262baab2309a5d20a20b96096e8f3878d3dffe3
|
/resource/migrations/0001_initial.py
|
7c45a4d82e62846dfa317f155ef1b40fb08fc7a9
|
[] |
no_license
|
vovaminof/ctsw-rest
|
0cae51232c910ce9433476cd1da3813f5bf77125
|
96862fceddef63d4910a08561e2c178f2008ba16
|
refs/heads/master
| 2020-03-25T07:10:44.312145 | 2018-08-04T16:54:45 | 2018-08-04T16:54:45 | 143,545,571 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 1,571 |
py
|
# Generated by Django 2.0.5 on 2018-06-10 04:30
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Category',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('active', models.BooleanField(default=True)),
('name', models.CharField(max_length=128)),
('name_pl', models.CharField(max_length=128, null=True)),
('name_en', models.CharField(max_length=128, null=True)),
('order', models.PositiveIntegerField(default=0)),
],
options={
'ordering': ('order',),
},
),
migrations.CreateModel(
name='Resource',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('active', models.BooleanField(default=True)),
('name', models.CharField(max_length=128)),
('name_pl', models.CharField(max_length=128, null=True)),
('name_en', models.CharField(max_length=128, null=True)),
('link', models.CharField(max_length=256)),
('category', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='resource.Category')),
],
),
]
|
[
"[email protected]"
] | |
620cd2171907d5b1e5e1ef3c3d3379f91f34ad8e
|
54564fcd4205990d5610f39dcb0e3a778037591d
|
/data_plotting.py
|
f34746099759f8f86a409e9809ede5cf771f9af8
|
[] |
no_license
|
amishasacheti/Sign-Language-Recognition-using-SVM
|
bb50592016f6be37c8422a156679aa3c9c8a2663
|
42967d80338f2dcb80c659a1f2d858866c08bc06
|
refs/heads/master
| 2022-11-16T12:56:24.808663 | 2020-07-16T18:31:51 | 2020-07-16T18:31:51 | 270,957,824 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 2,676 |
py
|
#display dataset in 3D
#STEP 1
import pandas as pd
import numpy as np
import math
from mpl_toolkits import mplot3d
%matplotlib inline
import matplotlib.pyplot as plt
data= np.loadtxt('D:\\final sem project\\dataset of coordinates\\1-hand_gestures\\afternoon_apurve_7.txt')
count=len(data)
bone_list = [[1, 2],[2,3],[2,4],[3,5],[4,6],[5,7],[6,8],[7,9],[8,10],[2,11],[11,12],[12,13],[12,14],[13,15],[14,16],[15,17],[17,19],[16,18],[18,20]]
lis=[[2,3],[3,5],[2,5],[2,4],[4,6],[2,6]]
lis = np.array(lis) - 1
lis1=[[3,5],[5,7],[3,7],[4,6],[6,8],[4,8]]
lis1 = np.array(lis1) - 1
lis2=[[9,5],[5,7],[9,7],[10,6],[6,8],[10,8]]
lis2 = np.array(lis2) - 1
print(count)
bone_list = np.array(bone_list) - 1
def findangle(x1,x2,x3,y1,y2,y3,z1,z2,z3):
cl=np.array([x1-x3,y1-y3,z1-z3])
cr=np.array([x2-x3,y2-y3,z2-z3])
modcl=np.linalg.norm(cl)
modcr=np.linalg.norm(cr)
m=modcl*modcr
l=np.cross(cl,cr)
n=l/m
k=np.array([0,0,1])
d=np.dot(n,k)
modn=np.linalg.norm(n)
modk=np.linalg.norm(k)
a=d/(modn*modk)
theta=math.acos(a) #angle in radian
theta1=(math.pi)-theta
angle=(theta1*180)/math.pi #angle in degree
#print(angle)
#print(theta1*180/math.pi)
return angle
for i in range(count):
#fig, ax = plt.subplots(1, figsize=(3, 8))
fig = plt.figure()
#ax = plt.axes(projection='3d')
ax = fig.add_subplot(1, 2, 2, projection='3d')
ax.set_title('Skeleton')
#plt.title('Skeleton')
#plt.xlim(-0.8,0.4)
#plt.ylim(-1.5,1.5)
x=data[i][0::3]
y=data[i][1::3]
z=data[i][2::3]
#ax.scatter(x, y,s=40)
ax.scatter3D(x, z,y,s=40)
ax.set_xlim(-0.2,0.5)
ax.set_ylim(-0.8,1.5)
ax.set_zlim(0,2)
for bone in bone_list:
ax.plot([x[bone[0]], x[bone[1]]],[z[bone[0]], z[bone[1]]], [y[bone[0]], y[bone[1]]],'r')
#ax.plot([x[bone[0]], x[bone[1]]], [y[bone[0]], y[bone[1]]],[z[bone[0]], z[bone[1]]], 'r')
#ax.plot([z[bone[0]], z[bone[1]]], [x[bone[0]], x[bone[1]]], [y[bone[0]], y[bone[1]]],'r')
#display dataset in 2D
for i in range(count):
fig, ax = plt.subplots(1, figsize=(8, 8))
#fig = plt.figure()
#ax = plt.axes(projection='3d')
#ax = fig.add_subplot(1, 2, 2, projection='3d')
#ax.set_title('Skeleton')
plt.title('Skeleton')
plt.xlim(-0.8,0.4)
plt.ylim(-1.5,1.5)
x=data[i][0::3]
y=data[i][1::3]
z=data[i][2::3]
ax.scatter(x, y,s=40)
#ax.scatter3D(x, y, z,s=40)
#ax.set_xlim(-0.8,-0.1)
#ax.set_ylim(-0.5,1.5)
#ax.set_zlim(-3,4)
for bone in bone_list:
ax.plot([x[bone[0]], x[bone[1]]], [y[bone[0]], y[bone[1]]], 'r')
|
[
"[email protected]"
] | |
e12591f9ecc1c8fed16803eb18ce0eecbd9e27a2
|
a5a05ad635d0af5ad97d7a39e1851fc6d4f14d16
|
/app/models/City.py
|
57774b71668f18cf2b9ebaf779ba76c5992d71b7
|
[] |
no_license
|
zyqingning/flask_crud-master
|
a43a625dcbd0dd51c65de8beec19747b00109210
|
51af3fa8e1582aa67f07b9b46e601d553deb0a55
|
refs/heads/master
| 2023-02-04T14:11:22.064669 | 2020-03-08T14:57:35 | 2020-03-08T14:57:35 | 245,834,017 | 0 | 0 | null | 2023-02-02T05:59:33 | 2020-03-08T14:56:51 |
HTML
|
UTF-8
|
Python
| false | false | 449 |
py
|
from sqlalchemy import Column, Integer,String,VARCHAR
from app.models.Base import Base
class City(Base):
id = Column(Integer(11), primary_key=True)
city_name = Column(VARCHAR(24), nullable=False)
pid = Column(Integer(11), nullable=False)
deep = Column(Integer(2), nullable=False)
pinyin = Column(VARCHAR(100),nullable=False)
ext_id = Column(Integer(10), nullable=False)
ext_name = Column(VARCHAR(100), nullable=False)
|
[
"[email protected]"
] | |
ac8fcee7be310f87e1cf6a7479d7dec05c585cc6
|
6413fe58b04ac2a7efe1e56050ad42d0e688adc6
|
/tempenv/lib/python3.7/site-packages/dash_bootstrap_components/_components/CardText.py
|
c0146873ce75910bc6733eabc85670d925f82320
|
[
"MIT"
] |
permissive
|
tytechortz/Denver_temperature
|
7f91e0ac649f9584147d59193568f6ec7efe3a77
|
9d9ea31cd7ec003e8431dcbb10a3320be272996d
|
refs/heads/master
| 2022-12-09T06:22:14.963463 | 2019-10-09T16:30:52 | 2019-10-09T16:30:52 | 170,581,559 | 1 | 0 |
MIT
| 2022-06-21T23:04:21 | 2019-02-13T21:22:53 |
Python
|
UTF-8
|
Python
| false | false | 3,332 |
py
|
# AUTO GENERATED FILE - DO NOT EDIT
from dash.development.base_component import Component, _explicitize_args
class CardText(Component):
"""A CardText component.
Keyword arguments:
- children (a list of or a singular dash component, string or number; optional): The children of this component
- id (string; optional): The ID of this component, used to identify dash components
in callbacks. The ID needs to be unique across all of the
components in an app.
- style (dict; optional): Defines CSS styles which will override styles previously set.
- className (string; optional): Often used with CSS to style elements with common properties.
- key (string; optional): A unique identifier for the component, used to improve
performance by React.js while rendering components
See https://reactjs.org/docs/lists-and-keys.html for more info
- tag (string; optional): HTML tag to use for the card text, default: p
- color (string; optional): Text color, options: primary, secondary, success, warning, danger, info,
muted, light, dark, body, white, black-50, white-50."""
@_explicitize_args
def __init__(self, children=None, id=Component.UNDEFINED, style=Component.UNDEFINED, className=Component.UNDEFINED, key=Component.UNDEFINED, tag=Component.UNDEFINED, color=Component.UNDEFINED, **kwargs):
self._prop_names = ['children', 'id', 'style', 'className', 'key', 'tag', 'color']
self._type = 'CardText'
self._namespace = 'dash_bootstrap_components/_components'
self._valid_wildcard_attributes = []
self.available_properties = ['children', 'id', 'style', 'className', 'key', 'tag', 'color']
self.available_wildcard_properties = []
_explicit_args = kwargs.pop('_explicit_args')
_locals = locals()
_locals.update(kwargs) # For wildcard attrs
args = {k: _locals[k] for k in _explicit_args if k != 'children'}
for k in []:
if k not in args:
raise TypeError(
'Required argument `' + k + '` was not specified.')
super(CardText, self).__init__(children=children, **args)
def __repr__(self):
if(any(getattr(self, c, None) is not None
for c in self._prop_names
if c is not self._prop_names[0])
or any(getattr(self, c, None) is not None
for c in self.__dict__.keys()
if any(c.startswith(wc_attr)
for wc_attr in self._valid_wildcard_attributes))):
props_string = ', '.join([c+'='+repr(getattr(self, c, None))
for c in self._prop_names
if getattr(self, c, None) is not None])
wilds_string = ', '.join([c+'='+repr(getattr(self, c, None))
for c in self.__dict__.keys()
if any([c.startswith(wc_attr)
for wc_attr in
self._valid_wildcard_attributes])])
return ('CardText(' + props_string +
(', ' + wilds_string if wilds_string != '' else '') + ')')
else:
return (
'CardText(' +
repr(getattr(self, self._prop_names[0], None)) + ')')
|
[
"[email protected]"
] | |
da83ca1a7a657675498be211e45ed7ce42cbc865
|
abd7eb1a20c1941dfa48bc9bd6520777ee141caf
|
/GenPass-Tools/gopass.py
|
f2f59aab7dc13292177b69cfde0bcc5d453ee64e
|
[] |
no_license
|
Open-Insecure/PassList
|
447a848d39845233193eedf6fe393c644a691772
|
70bb0b52bc42b3a2a528136aeaccc855c101b39f
|
refs/heads/master
| 2020-12-30T14:19:31.037471 | 2017-05-13T02:38:13 | 2017-05-13T02:38:13 | 91,303,828 | 1 | 0 | null | 2017-05-15T06:43:44 | 2017-05-15T06:43:44 | null |
UTF-8
|
Python
| false | false | 4,722 |
py
|
#!/usr/bin/env python
# -*-coding:utf-8-*-
from os.path import exists
import optparse
import sys
__author__ = 'kkk'
__date__ = '2016/1/1'
R = '\033[31m' # red
G = '\033[32m' # green
B = '\033[34m' # blue
W = '\033[0m' # white (normal)
""" 字典生成，攻击个人账号"""
def banner():
print B + '''
_______________
( Your password? )
---------------
o ^__^
o (oo)\_______
(__)\ )\/\/
||----w |
|| ||
[gopass -n xx-xx -b yy-yy-yy]
[sort uniq --> good job]
''' + W
def print_err(err):
sys.exit(R + '[-] ' + err + W)
def main():
number = ['00','000','001','111','2008','2009','2010','2011','2012','2013','2014','2015','2016','2017']
letter = []
spe = ['!','@','#','$','%','^','&','*','!@#','!!'] #特殊字符
number += [n for n in range(30)]
letter += [chr(l) for l in range(97,123)]
parser = optparse.OptionParser('n[ame] b[irth] m[obile] w[save] p[sswd] t[ype] o[ther] >')
parser.add_option('-n','--name',dest='name',type='string',\
help='Specify target name')
parser.add_option('-b','--birth',dest='birth',type='string',\
help='Specify target birthday')
parser.add_option('-m','--mobile',dest='mobile',type='string',\
help='Specify target mobile')
parser.add_option('-w','--write',dest='save_f',type='string',\
help='Specify save file')
parser.add_option('-p','--pass',dest='pass_f',type='string',\
help='Specify other password wordlist')
parser.add_option('-t','--type',dest='type1',type='string',\
help='[number, letter, spe, all]')
parser.add_option('-o','--other',dest='other',type='string',\
help='Specify Favorite things [Company,like]')
(options, args) = parser.parse_args()
name = options.name
birth = options.birth
mobile = options.mobile
save_f = options.save_f
pass_f = options.pass_f
ty = options.type1
other = options.other
if name == None and birth == None:
parser.print_help()
print_err('Specify target name and birth,using --help')
name_list = name.split('-')
# 姓
xing = name_list[0]
# 名
ming = ''.join(x for x in name_list[1:])
# 姓名结合
xm = name.replace('-','')
# 姓名首字母
szm = ''.join(x[0] for x in name_list)
# 姓全称名缩写
xm2 = xing + ''.join(x[0] for x in name_list[1:])
# zhang,wei,zhangwei,zhangw,zw
name_x = [xing,ming,xm,xm2,szm]
birth_list = birth.split('-')
# 年
year = birth_list[0]
# 年月组合
year2 = year + birth_list[1]
# 月日
mothday = ''.join(x for x in birth_list[1:])
# 年后两位与月日结合
year3 = year[2:] + mothday
# 年月日
nyr = birth.replace('-','')
# 1990,199001,900122,0122,19900122
birth_x = [year,year2,year3,mothday,nyr]
#[dic_list.append(n) for n in name_x]
dic_list = [n for n in name_x]
dic_list += [n.upper() for n in name_x]
dic_list += [b for b in birth_x]
dic_list += [n+b for n in name_x for b in birth_x]
dic_list += [b+n for n in name_x for b in birth_x]
dic_list += [n.upper()+b for n in name_x for b in birth_x]
dic_list += [b+n.upper() for n in name_x for b in birth_x]
dic_list += [n+mobile for n in name_x if mobile]
dic_list += [n.upper()+mobile for n in name_x if mobile]
# 判断是否使用特殊字符
if ty:
# 在姓名后增加数字类
if ty == 'number':
[dic_list.append(n+str(nn)) for n in name_x for nn in number]
[dic_list.append(str(nn)+n) for n in name_x for nn in number]
# 在姓名后增加字母，默认全体小写字母
elif ty == 'letter':
[dic_list.append(n+l) for n in name_x for l in letter]
# 在姓名后增加特殊符合
elif ty == 'spe':
[dic_list.append(n+s) for n in name_x for s in spe]
# 全部使用
elif ty == 'all':
[dic_list.append(n+str(nn)) for n in name_x for nn in number]
[dic_list.append(n+l) for n in name_x for l in letter]
[dic_list.append(n+s) for n in name_x for s in spe]
else:
print_err('Type [number,letter,spe,all]')
# 判断是否使用其他
if other:
dic_list += [n+str(other) for n in name_x]
dic_list += [b+str(other) for b in birth_x]
dic_list += [n+b+str(other) for n in name_x for b in birth_x]
dic_list += [str(other)]
# 判断是否使用弱密码
if pass_f:
if exists(pass_f):
with open(pass_f,'r') as f:
other_list = [x.rstrip() for x in f.readlines() ]
dic_list += other_list
dic_list += [n+o for n in name_x for o in other_list]
dic_list += [b+o for b in birth_x for o in other_list]
else:
print_err('File not found!')
# 保存
if save_f:
with open(save_f,'w') as f:
[f.writelines(x+'\n') for x in dic_list ]
# 不保存就打印出来
else:
for x in dic_list:
print G + x
if __name__ == '__main__':
banner()
main()
|
[
"[email protected]"
] | |
9b73114f7ea4cb451dfbd939500b3c97b30e2d8a
|
673440c09033912157d1c3767d5308f95755e76a
|
/ManachersAlgo.py
|
34e2ae34f01f3af98fb2e6b72aa5e397af5e4c02
|
[] |
no_license
|
jagadeshwarrao/programming
|
414193b1c538e37684378233d0532bd786d63b32
|
1b343251a8ad6a81e307d31b2025b11e0b28a707
|
refs/heads/master
| 2023-02-02T19:26:21.187561 | 2020-12-21T18:21:00 | 2020-12-21T18:21:00 | 274,644,612 | 1 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 1,482 |
py
|
def findLongestPalindromicString(text):
N = len(text)
if N == 0:
return
N = 2*N+1
L = [0] * N
L[0] = 0
L[1] = 1
C = 1
R = 2
i = 0
iMirror = 0
maxLPSLength = 0
maxLPSCenterPosition = 0
start = -1
end = -1
diff = -1
for i in xrange(2,N):
iMirror = 2*C-i
L[i] = 0
diff = R - i
if diff > 0:
L[i] = min(L[iMirror], diff)
try:
while ((i+L[i]) < N and (i-L[i]) > 0) and \
(((i+L[i]+1) % 2 == 0) or \
(text[(i+L[i]+1)/2] == text[(i-L[i]-1)/2])):
L[i]+=1
except Exception as e:
pass
if L[i] > maxLPSLength:
maxLPSLength = L[i]
maxLPSCenterPosition = i
if i + L[i] > R:
C = i
R = i + L[i]
start = (maxLPSCenterPosition - maxLPSLength) / 2
end = start + maxLPSLength - 1
print "LPS of string is " + text + " : ",
print text[start:end+1],
print "\n",
text1 = "babcbabcbaccba"
findLongestPalindromicString(text1)
text2 = "abaaba"
findLongestPalindromicString(text2)
text3 = "abababa"
findLongestPalindromicString(text3)
text4 = "abcbabcbabcba"
findLongestPalindromicString(text4)
text5 = "forgeeksskeegfor"
findLongestPalindromicString(text5)
text6 = "caba"
findLongestPalindromicString(text6)
text7 = "abacdfgdcaba"
findLongestPalindromicString(text7)
text8 = "abacdfgdcabba"
findLongestPalindromicString(text8)
text9 = "abacdedcaba"
findLongestPalindromicString(text9)
|
[
"[email protected]"
] | |
85370d51f765fc9fea6e6a92b81857238daebf61
|
22d1217a7e8e6cf50bf576c3ede7903b337d641f
|
/music_scrapper_tt/middlewares.py
|
fe54885868b95ca801ae521e9b65cc00441aa6be
|
[] |
no_license
|
06rajesh/music_scraper_tt
|
4a3351f6fd0eb231385a047ba732eb36bb5d3adc
|
04f6e1055e1383aa74a552075809fc810040fc4d
|
refs/heads/master
| 2020-12-21T21:30:44.047214 | 2020-01-30T22:05:50 | 2020-01-30T22:05:50 | 236,568,518 | 1 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 3,615 |
py
|
# -*- coding: utf-8 -*-
# Define here the models for your spider middleware
#
# See documentation in:
# https://docs.scrapy.org/en/latest/topics/spider-middleware.html
from scrapy import signals
class MusicScrapperTtSpiderMiddleware(object):
# Not all methods need to be defined. If a method is not defined,
# scrapy acts as if the spider middleware does not modify the
# passed objects.
@classmethod
def from_crawler(cls, crawler):
# This method is used by Scrapy to create your spiders.
s = cls()
crawler.signals.connect(s.spider_opened, signal=signals.spider_opened)
return s
def process_spider_input(self, response, spider):
# Called for each response that goes through the spider
# middleware and into the spider.
# Should return None or raise an exception.
return None
def process_spider_output(self, response, result, spider):
# Called with the results returned from the Spider, after
# it has processed the response.
# Must return an iterable of Request, dict or Item objects.
for i in result:
yield i
def process_spider_exception(self, response, exception, spider):
# Called when a spider or process_spider_input() method
# (from other spider middleware) raises an exception.
# Should return either None or an iterable of Request, dict
# or Item objects.
pass
def process_start_requests(self, start_requests, spider):
# Called with the start requests of the spider, and works
# similarly to the process_spider_output() method, except
# that it doesn’t have a response associated.
# Must return only requests (not items).
for r in start_requests:
yield r
def spider_opened(self, spider):
spider.logger.info('Spider opened: %s' % spider.name)
class MusicScrapperTtDownloaderMiddleware(object):
# Not all methods need to be defined. If a method is not defined,
# scrapy acts as if the downloader middleware does not modify the
# passed objects.
@classmethod
def from_crawler(cls, crawler):
# This method is used by Scrapy to create your spiders.
s = cls()
crawler.signals.connect(s.spider_opened, signal=signals.spider_opened)
return s
def process_request(self, request, spider):
# Called for each request that goes through the downloader
# middleware.
# Must either:
# - return None: continue processing this request
# - or return a Response object
# - or return a Request object
# - or raise IgnoreRequest: process_exception() methods of
# installed downloader middleware will be called
return None
def process_response(self, request, response, spider):
# Called with the response returned from the downloader.
# Must either;
# - return a Response object
# - return a Request object
# - or raise IgnoreRequest
return response
def process_exception(self, request, exception, spider):
# Called when a download handler or a process_request()
# (from other downloader middleware) raises an exception.
# Must either:
# - return None: continue processing this exception
# - return a Response object: stops process_exception() chain
# - return a Request object: stops process_exception() chain
pass
def spider_opened(self, spider):
spider.logger.info('Spider opened: %s' % spider.name)
|
[
"[email protected]"
] | |
25e21e843b4abe6d09488f0c8ef76ef4b0042a4a
|
97878d748b985bca6996636fea9093f5a644ce0c
|
/ritohelper.py
|
b4f49aae62509ffe3fdff1119bc03ccb9a348ad0
|
[] |
no_license
|
Summarum/lolinfo
|
acada8d81939c76c41e17dbd948dec5b7e3d2e73
|
5f2406114deb738bf352513a5ec0dbf5d0acaa36
|
refs/heads/master
| 2021-01-22T22:44:49.165076 | 2017-03-20T12:46:13 | 2017-03-20T12:46:13 | 85,575,485 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 353 |
py
|
import sys
import json
from urllib2 import urlopen
riotKey = 'RGAPI-EAFA68C5-28DC-4BCB-835A-66DEAFE6427E'
apiURL = urlopen('https://'+sys.argv[1]+'.api.pvp.net/api/lol/'+sys.argv[1]+'/v1.4/summoner/by-name/'+sys.argv[2]+'?api_key='+riotKey)
rawJSON = apiURL.read()
convertedJSON=json.loads(rawJSON)
value = convertedJSON['summarum']['id']
print value
|
[
"[email protected]"
] | |
3609cbd86fe366108bed83305f57d5ac02c3ce24
|
a2dc75a80398dee58c49fa00759ac99cfefeea36
|
/bluebottle/bb_projects/migrations/0018_auto_20210302_1417.py
|
69d49b4e0234875309c1a920a6cf0af3e76ba9e8
|
[
"BSD-2-Clause"
] |
permissive
|
onepercentclub/bluebottle
|
e38b0df2218772adf9febb8c6e25a2937889acc0
|
2b5f3562584137c8c9f5392265db1ab8ee8acf75
|
refs/heads/master
| 2023-08-29T14:01:50.565314 | 2023-08-24T11:18:58 | 2023-08-24T11:18:58 | 13,149,527 | 15 | 9 |
BSD-3-Clause
| 2023-09-13T10:46:20 | 2013-09-27T12:09:13 |
Python
|
UTF-8
|
Python
| false | false | 956 |
py
|
# -*- coding: utf-8 -*-
# Generated by Django 1.11.17 on 2021-03-02 13:17
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('bb_projects', '0017_auto_20210302_1417'),
('projects', '0095_auto_20210302_1417'),
('suggestions', '0005_auto_20210302_1417'),
('initiatives', '0030_auto_20210302_1405'),
('members', '0041_auto_20210302_1416'),
]
state_operations = [
migrations.DeleteModel(
name='ProjectTheme',
),
migrations.DeleteModel(
name='ProjectThemeTranslation',
),
]
operations = [
migrations.SeparateDatabaseAndState(
state_operations=state_operations
),
migrations.DeleteModel(
name='ProjectPhase',
),
migrations.DeleteModel(
name='ProjectPhaseTranslation',
),
]
|
[
"[email protected]"
] | |
d44d5a84fcb47ddaa80fe9b1efb34dd60130c6c4
|
f7ee49080d4b940e68afbd89357743d9d0e6d32e
|
/tools/viz/asohelper.py
|
b1746ab01205c09873f11ebd2450332cf6fbd19f
|
[
"MIT"
] |
permissive
|
anujpathania/HotSniper
|
eae261d202ea43f7f529e94c4982995621bd7908
|
9cd2a8f6473625372d45f9ca315019ce190b143d
|
refs/heads/master
| 2023-08-17T20:23:34.313699 | 2023-08-15T16:28:07 | 2023-08-15T16:28:07 | 87,197,006 | 63 | 28 |
NOASSERTION
| 2023-09-06T16:39:22 | 2017-04-04T14:31:28 |
C
|
UTF-8
|
Python
| false | false | 267 |
py
|
def get_fp_addsub(f):
return f["addpd"] + f["addsd"] + f["addss"] + f["addps"] + f["subpd"] + f["subsd"] + f["subss"] + f["subps"]
def get_fp_muldiv(f):
return f["mulpd"] + f["mulsd"] + f["mulss"] + f["mulps"] + f["divpd"] + f["divsd"] + f["divss"] + f["divps"]
|
[
"[email protected]"
] | |
f2acacf75129142364d47c4372031342a19566a9
|
1554150a9720ebf35cd11c746f69169b595dca10
|
/tk_practise/shape_display_view.py
|
908a4219294e3677bf29d3a5afa33665d56b7ca5
|
[] |
no_license
|
andrewili/shape-grammar-engine
|
37a809f8cf78b133f8f1c3f9cf13a7fbbb564713
|
2859d8021442542561bdd1387deebc85e26f2d03
|
refs/heads/master
| 2021-01-18T22:46:51.221257 | 2016-05-31T21:15:28 | 2016-05-31T21:15:28 | 14,129,359 | 1 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 7,640 |
py
|
# shape_display_view.py
import Tkinter as tk
import tkFileDialog
import tkFont
import ttk
class Observable(object):
def __init__(self):
self.observers = []
def broadcast(self, widget):
for observer in self.observers:
observer.respond(widget)
def add_observer(self, observer):
self.observers.append(observer)
class View(tk.Toplevel, Observable):
def __init__(self, master):
tk.Toplevel.__init__(self, master)
self.protocol('WM_DELETE_WINDOW', self.master.destroy)
Observable.__init__(self)
self.title('Shape display 2014-04-03')
self.text_var_a = tk.StringVar()
self.text_var_b = tk.StringVar()
self.text_var_c = tk.StringVar()
self.label_width = 28
self.label_height = 15
self.label_font = ('Andale Mono', '11')
self.background_color = '#EEEEEE'
self._make_main_frame()
self._make_label_frame_a( 0, 0)
self._make_spacer( 1, 0)
self._make_label_frame_b( 2, 0)
self._make_spacer( 3, 0)
self._make_label_frame_buttons( 4, 0)
self._make_spacer( 5, 0)
self._make_label_frame_c( 6, 0)
def _make_main_frame(self):
self.mainframe = ttk.Frame(
self,
padding='10 10 10 10')
self.mainframe.grid(
column=0,
row=0,
sticky='NSEW')
self.mainframe.rowconfigure(
0,
weight=1)
self.mainframe.columnconfigure(
0,
weight=1)
def _make_label_frame_a(self, column_in, row_in):
self.label_frame_a = ttk.LabelFrame(
self.mainframe)
self.label_frame_a.grid(
column=column_in,
row=row_in,
sticky='EW')
self.canvas_a = self.make_canvas(
self.label_frame_a,
0, 0)
self.get_lshape_a_button = ttk.Button(
self.label_frame_a,
width=15,
text='Get A',
command=(self.get_lshape_a))
self.get_lshape_a_button.grid(
column=0,
row=2)
self.label_a = tk.Label(
self.label_frame_a,
width=self.label_width,
height=self.label_height,
textvariable=self.text_var_a,
anchor=tk.NW,
justify=tk.LEFT,
font=self.label_font)
self.label_a.grid(
column=0,
row=3)
def _make_label_frame_b(self, column_in, row_in):
self.label_frame_b = ttk.LabelFrame(
self.mainframe)
self.label_frame_b.grid(
column=column_in,
row=row_in,
sticky='EW')
self.canvas_b = self.make_canvas(
self.label_frame_b,
0, 0)
self.get_lshape_b_button = ttk.Button(
self.label_frame_b,
width=15,
text='Get B',
command=self.get_lshape_b)
self.get_lshape_b_button.grid(
column=0,
row=2)
self.label_b = tk.Label(
self.label_frame_b,
width=self.label_width,
height=self.label_height,
textvariable=self.text_var_b,
anchor=tk.NW,
justify=tk.LEFT,
font=self.label_font)
self.label_b.grid(
column=0,
row=3)
def _make_label_frame_buttons(self, column_in, row_in):
self.label_frame_buttons = ttk.LabelFrame(
self.mainframe)
self.label_frame_buttons.grid(
column=column_in,
row=row_in,
sticky='NEW')
self.result_button_frame_spacer_upper = tk.Label(
self.label_frame_buttons,
height=5,
background=self.background_color)
self.result_button_frame_spacer_upper.grid(
column=0,
row=0)
self.get_lshape_a_plus_b_button = ttk.Button(
self.label_frame_buttons,
width=15,
text='A + B',
command=self.get_lshape_a_plus_b)
self.get_lshape_a_plus_b_button.grid(
column=0,
row=1)
self.get_lshape_a_minus_b_button = ttk.Button(
self.label_frame_buttons,
width=15,
text='A - B',
command=self.get_lshape_a_minus_b)
self.get_lshape_a_minus_b_button.grid(
column=0,
row=2)
self.get_lshape_a_sub_lshape_b_button = ttk.Button(
self.label_frame_buttons,
width=15,
text='A <= B',
command=self.get_lshape_a_sub_lshape_b)
self.get_lshape_a_sub_lshape_b_button.grid(
column=0,
row=3)
self.result_button_frame_spacer_lower = tk.Label(
self.label_frame_buttons,
height=17,
background=self.background_color)
self.result_button_frame_spacer_lower.grid(
column=0,
row=4)
def _make_label_frame_c(self, column_in, row_in):
self.label_frame_c = ttk.LabelFrame(
self.mainframe)
self.label_frame_c.grid(
column=column_in,
row=row_in,
sticky='NEW')
self.canvas_c = self.make_canvas(
self.label_frame_c,
0, 0)
self.spacer_c = tk.Label(
self.label_frame_c,
width=2,
background=self.background_color,
text=' ')
self.spacer_c.grid(
column=0,
row=1)
self.label_c = tk.Label(
self.label_frame_c,
width=self.label_width,
height=self.label_height,
textvariable=self.text_var_c,
anchor=tk.NW,
justify=tk.LEFT,
font=self.label_font)
self.label_c.grid(
column=0,
row=2)
def make_canvas(self, parent, column_in, row_in):
canvas = tk.Canvas(
parent,
width=200,
height=200,
background='#DDDDDD') # use constant
canvas.xview_moveto(0) # move origin to visible area
canvas.yview_moveto(0)
canvas.grid(
column=column_in,
row=row_in,
sticky='EW')
return canvas
def _make_spacer(self, column_in, row_in):
self.spacer = tk.Label(
self.mainframe,
width=2,
background=self.background_color,
text=' ')
self.spacer.grid(
column=column_in,
row=row_in)
## def make_spacer_above_buttons(self, column_in, row_in):
## spacer = tk.Label(
## self.mainframe,
## width=2,
## height=5,
## text=' ')
## spacer.grid(
## column=column_in,
## row=row_in)
def get_lshape_a(self):
self.file_a = tkFileDialog.askopenfile()
self.broadcast(self.get_lshape_a_button)
def get_lshape_b(self):
self.file_b = tkFileDialog.askopenfile()
self.broadcast(self.get_lshape_b_button)
def get_lshape_a_plus_b(self):
self.broadcast(self.get_lshape_a_plus_b_button)
def get_lshape_a_minus_b(self):
self.broadcast(self.get_lshape_a_minus_b_button)
def get_lshape_a_sub_lshape_b(self):
self.broadcast(self.get_lshape_a_sub_lshape_b_button)
if __name__ == '__main__':
import doctest
doctest.testfile('tests/shape_display_view_test.txt')
|
[
"[email protected]"
] | |
b3cf8a2a7df390f336d567d193e3c7b558bce83b
|
3e41ec4d8c82d0f8333eada932988d580d0b8e15
|
/NQueens/nqueens.py
|
b8939c0e6f6c27dbf7862e794708c1977fc694d8
|
[] |
no_license
|
Rakavee/Algorithms
|
3a68eb380b6b46f93677779c0b054e8e1c2a6dbc
|
98432dbb97829658997f693d08cb8a1938317a7e
|
refs/heads/master
| 2020-04-29T08:55:57.530330 | 2019-03-20T20:59:36 | 2019-03-20T20:59:36 | 175,895,052 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 3,970 |
py
|
# coding: utf-8
# Source: https://www.sanfoundry.com/python-program-solve-n-queen-problem-without-recursion/
# Source does not use linked lists.
# # Linked List implementation of Non-Recursive N-Queens Problem
# In[1]:
class Node:
def __init__(self, right=None, left=None, up=None, down=None, data=None):
self.right = right
self.left = left
self.up = up
self.down = down
self.data = data
# In[2]:
class nQueensBoard:
def __init__(self, size):
self.size = size
self.queen_columns = [] #queen_columns[r]=c where r,c denotes the position of the queens on the board.
self.nodes=[ [0]*self.size for _ in range(self.size) ]
for i in range(self.size):
for j in range(self.size):
self.nodes[i][j] = Node(data=0)
if i > 0:
self.nodes[i][j].up = self.nodes[i-1][j]
self.nodes[i-1][j].down = self.nodes[i][j]
if j > 0:
self.nodes[i][j].left = self.nodes[i][j-1]
self.nodes[i][j-1].right = self.nodes[i][j]
def isSafe(self, column):
row = len(self.queen_columns)
# check column
for qc in self.queen_columns:
if column == qc:
return False
# check diagonal
for qr, qc in enumerate(self.queen_columns):
if qc - qr == column - row:
return False
# check other diagonal
for qr, qc in enumerate(self.queen_columns):
if ((self.size - qc) - qr
== (self.size - column) - row):
return False
return True
def print_board(self):
current_node = self.nodes[0][0]
next_row = current_node.down
while(current_node):
print("| ",current_node.data, end = " ")
if(current_node.right != None):
current_node = current_node.right
elif(current_node.down != None):
current_node = next_row
next_row = current_node.down
print(' |\n')
else:
print(' |')
break
print("................................................................")
def fill_board(self):
for row in range(self.size):
for column in range(self.size):
if column == self.queen_columns[row]:
self.nodes[row][column].data = "Q"
#print('|Q', end=' ')
else:
self.nodes[row][column].data = "-"
#print('|-', end=' ')
#print("|")
#print("................................................................")
self.print_board()
def populate(self, size):
number_of_solutions = 0
row = 0
column = 0
# iterate over rows of board
while True:
while column < size:
if self.isSafe(column):
self.queen_columns.append(column)
row += 1
column = 0
break
else:
column += 1
# if could not find column to place in or if board is full
if (column == size or row == size):
if row == size:
self.fill_board()
print()
number_of_solutions += 1
self.queen_columns.pop()
row -= 1
#backtrack
try:
prev_column = self.queen_columns.pop()
except IndexError:
break
row -= 1
column = 1 + prev_column
print('Number of solutions:', number_of_solutions)
# In[3]:
n = int(input('Enter n: '))
board1 = nQueensBoard(size = n)
board1.populate(n)
|
[
"[email protected]"
] | |
2e4eef4d153f95bea110073a05421b1d94936321
|
9669f20cb574d2da7138890f148dfb71dc7752ca
|
/Game/Space.py
|
548c88a1d9ab61c099d1ed1eeb0a58b89691705a
|
[] |
no_license
|
kamalbowselvam/Organism
|
83d84a8d5cc2795565a7d663f214a90f162e919e
|
4893d06320619310c338e57ab6fa560c921ae155
|
refs/heads/master
| 2021-07-07T23:11:08.583263 | 2020-07-10T21:12:41 | 2020-07-10T21:12:41 | 142,669,268 | 1 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 2,470 |
py
|
from PyQt5.QtCore import QTimer
from PyQt5.QtCore import Qt, QObject, QUrl, QPointF, QLineF
from PyQt5.QtMultimedia import QMediaPlayer, QMediaContent,QMediaPlaylist
from PyQt5.QtWidgets import QGraphicsItem, QGraphicsPolygonItem, QGraphicsLineItem
from PyQt5.QtGui import QBrush, QImage, QPolygonF, QPen
from Grounds.PlayGround import PlayGround
from Grounds.PlayGroundView import PlayGroundView
from Players.Enemy import Enemy
from Players.Player import Player
from Players.Tower import Tower
from Players.Alien import Alien
import resoruces
class Game(QObject):
def __init__(self):
super(Game,self).__init__()
self.scene = PlayGround()
self.scene.setBackgroundBrush(QBrush(QImage(":/Resources/images/BackGround.png")))
self.view = PlayGroundView()
self.view.setScene(self.scene)
self.player = Player()
self.addToGround(self.player)
self.tower = Tower()
self.addToGround(self.tower)
self.gameObjectPosition(self.tower,200,450)
# self.alien = Alien()
# self.addToGround(self.alien)
self.backgroundMusic = QMediaPlayer()
self.playList = QMediaPlaylist()
self.playList.addMedia(QMediaContent(QUrl("qrc:/Resources/sounds/Game_Background.mp3")))
self.playList.setPlaybackMode(QMediaPlaylist.Loop)
self.backgroundMusic.setPlaylist(self.playList)
self.backgroundMusic.setVolume(2)
self.backgroundMusic.play()
self.changeFocus(self.player)
self.gameObjectPosition(self.player,750/2,550)
self.setSize()
self.spawnEnemies()
def setSize(self):
self.view.setFixedSize(800, 600)
self.view.setHorizontalScrollBarPolicy(Qt.ScrollBarAlwaysOff)
self.view.setVerticalScrollBarPolicy(Qt.ScrollBarAlwaysOff)
def addToGround(self,item):
self.scene.addItem(item)
def changeFocus(self,item):
item.setFlag(QGraphicsItem.ItemIsFocusable)
item.setFocus()
def playMusic(self):
pass
def gameObjectPosition(self,item,x,y):
item.setPos(x,y)
def spawnEnemies(self):
self.enemyTimer = QTimer()
self.enemyTimer.timeout.connect(lambda: self.launchEnemies())
self.enemyTimer.start(5000)
def launchEnemies(self):
enemy1 = Enemy()
enemy2 = Enemy()
self.scene.addItem(enemy1)
self.scene.addItem(enemy2)
def start(self):
self.view.show()
|
[
"[email protected]"
] | |
6677355c1c7383d94b434226fae40b8cf76ba2d0
|
bdf86d69efc1c5b21950c316ddd078ad8a2f2ec0
|
/venv/Lib/site-packages/twisted/plugins/twisted_core.py
|
a66ad7f0104dc02e960fa9fecfcfe59830bb8d40
|
[
"LicenseRef-scancode-unknown-license-reference",
"MIT"
] |
permissive
|
DuaNoDo/PythonProject
|
543e153553c58e7174031b910fd6451399afcc81
|
2c5c8aa89dda4dec2ff4ca7171189788bf8b5f2c
|
refs/heads/master
| 2020-05-07T22:22:29.878944 | 2019-06-14T07:44:35 | 2019-06-14T07:44:35 | 180,941,166 | 1 | 1 | null | 2019-06-04T06:27:29 | 2019-04-12T06:05:42 |
Python
|
UTF-8
|
Python
| false | false | 588 |
py
|
# Copyright (c) Twisted Matrix Laboratories.
# See LICENSE for details.
from __future__ import absolute_import, division
from twisted.internet.endpoints import (
_SystemdParser, _TCP6ServerParser, _StandardIOParser,
_TLSClientEndpointParser)
from twisted.protocols.haproxy._parser import (
HAProxyServerParser as _HAProxyServerParser
)
systemdEndpointParser = _SystemdParser()
tcp6ServerEndpointParser = _TCP6ServerParser()
stdioEndpointParser = _StandardIOParser()
tlsClientEndpointParser = _TLSClientEndpointParser()
_haProxyServerEndpointParser = _HAProxyServerParser()
|
[
"[email protected]"
] | |
5f734dd61d2dc73ff8eb5d7a63974db7dc11b249
|
98aae6242ce9c03d873bd1ccc900aa7c0785bdfc
|
/index.py
|
44ad0dfb833fea8a3fc968732092dc51c2eca67d
|
[] |
no_license
|
CarlosTorres0929/SQLite
|
5cdb4c9098cb4405382a3aea3a01f73ea79d8918
|
b14723cbafda23036d05750750f2e70781fd5d8e
|
refs/heads/master
| 2020-09-10T20:30:47.094536 | 2019-11-15T02:24:54 | 2019-11-15T02:24:54 | 221,827,111 | 1 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 921 |
py
|
import sqlite3
conexion = sqlite3.connect('ejemplo.db')
# Creamos el cursor
cursor = conexion.cursor()
# Ahora crearemos una tabla de usuarios para almacenar nombres, edades y emails
# cursor.execute("CREATE TABLE usuarios (nombre VARCHAR(100), edad INTEGER, email VARCHAR(100))")
# Guardamos los cambios haciendo un commit
# cursor.execute("INSERT INTO usuarios VALUES ('Carlos',21,'[email protected]')")
#cursor.execute("SELECT * FROM usuarios")
#print(cursor)
#usuario = cursor.fetchone()
#print(usuario[2])
#usuarios = [
# ('Veronica',25,'[email protected]'),
# ('ibarguen',32,'[email protected]'),
# ('yuli',40,'[email protected]'),
#]
#cursor.executemany("INSERT INTO usuarios VALUES (?,?,?)", usuarios)
#cursor.execute("SELECT * FROM usuarios")
#usuarios = cursor.fetchall()
#for usuario in usuarios:
#print("Nombre: ",usuario[0],"Email: ",usuario[2])
conexion.commit()
conexion.close()
|
[
"[email protected]"
] | |
b0b4eea997a14d786631185ea489b042e1b6f259
|
e48833b214d2673ac885f054172c78ff3db43c0a
|
/projectX6_orm/projectX6_orm/settings.py
|
32c8a7e1965b80ab9f2d0497289508cf6704f8fd
|
[] |
no_license
|
abhay2701/summertraining
|
17fa4e3c077599e2330ad47db587f867674bae62
|
c5c8e32cbf3f0b1810cf32a0f186411d679b19f6
|
refs/heads/master
| 2020-06-03T22:19:19.551629 | 2019-06-13T11:50:00 | 2019-06-13T11:50:00 | 191,754,541 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 3,190 |
py
|
"""
Django settings for projectX6_orm project.
Generated by 'django-admin startproject' using Django 1.11.17.
For more information on this file, see
https://docs.djangoproject.com/en/1.11/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.11/ref/settings/
"""
import os
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
TEMPLATE_DIR=os.path.join(BASE_DIR,"templates")
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/1.11/howto/deployment/checklist/
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = '0lna-4ea%wpug6!6@@yqpsrvpw%wa7_&vx68e61)*+a!4(+i!e'
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = True
ALLOWED_HOSTS = []
# Application definition
INSTALLED_APPS = [
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.messages',
'django.contrib.staticfiles',
'app',
]
MIDDLEWARE = [
'django.middleware.security.SecurityMiddleware',
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.common.CommonMiddleware',
'django.middleware.csrf.CsrfViewMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
'django.middleware.clickjacking.XFrameOptionsMiddleware',
]
ROOT_URLCONF = 'projectX6_orm.urls'
TEMPLATES = [
{
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'DIRS': [TEMPLATE_DIR],
'APP_DIRS': True,
'OPTIONS': {
'context_processors': [
'django.template.context_processors.debug',
'django.template.context_processors.request',
'django.contrib.auth.context_processors.auth',
'django.contrib.messages.context_processors.messages',
],
},
},
]
WSGI_APPLICATION = 'projectX6_orm.wsgi.application'
# Database
# https://docs.djangoproject.com/en/1.11/ref/settings/#databases
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': os.path.join(BASE_DIR, 'db.sqlite3'),
}
}
# Password validation
# https://docs.djangoproject.com/en/1.11/ref/settings/#auth-password-validators
AUTH_PASSWORD_VALIDATORS = [
{
'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator',
},
]
# Internationalization
# https://docs.djangoproject.com/en/1.11/topics/i18n/
LANGUAGE_CODE = 'en-us'
TIME_ZONE = 'UTC'
USE_I18N = True
USE_L10N = True
USE_TZ = True
# Static files (CSS, JavaScript, Images)
# https://docs.djangoproject.com/en/1.11/howto/static-files/
STATIC_URL = '/static/'
|
[
"[email protected]"
] | |
dcce7008aeaa2f6a8191887d40a8f758804f095e
|
75a54aa657a37be88fd96fc39856156452770aa4
|
/reviews_analytics.py
|
d6cc40a22050844fbb0809d88f622c891d5c6caf
|
[] |
no_license
|
smileymak2/reviews_analytics
|
54e7f4c93af4af2341ba2afa29af45edf7b6ef51
|
c9ae91c6815e89d8cd4094ca3579db4dc5c8794e
|
refs/heads/main
| 2023-06-01T11:33:10.929883 | 2021-06-13T09:44:08 | 2021-06-13T09:44:08 | 376,487,792 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 672 |
py
|
data = []
count = 0
with open('reviews.txt', 'r') as f:
for line in f:
data.append(line)
count += 1
if count % 100000 == 0:
print(len(data))
print('檔案讀取完了, 總共有', len(data), '筆資料')
sum_len = 0
for d in data:
sum_len += len(d)
print('留言的平均長度為', sum_len / len(data), '筆')
new = []
for d in data:
if len(d) < 100:
new.append(d)
print('一共有', len(new), '筆留言長度小於100')
print(new[0])
print('共有', len(new[0]), '字母')
print(new[5])
print('共有', len(new[5]), '字母')
good = []
for d in data:
if 'good' in d:
good.append(d)
print('一共有', len(good), '筆留言含有good')
print(good[0])
|
[
"[email protected]"
] | |
faa874034f386b9cb6efe06855a52bfea58d1d2a
|
a8c240cbcc9de81a12e2858357d677061182ad9a
|
/server.py
|
92319cd174fbdae4861d23e17aaa58261241242b
|
[
"Apache-2.0"
] |
permissive
|
saiflakhani/cumminsPrototype
|
956b8242bf176474e4da4f38575670833419cb7b
|
8c3c08b3ebd90fcb32dc206657292053c4540818
|
refs/heads/master
| 2023-02-28T14:12:50.085810 | 2021-02-03T15:22:41 | 2021-02-03T15:22:41 | 335,256,582 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 1,917 |
py
|
"""
Main module of the server file
"""
# 3rd party moudles
from flask import render_template, Flask
import connexion
import db
import mqtt_messaging
from flask_cors import CORS, cross_origin
from config import FLASK_HOST, FLASK_PORT
import logging
from art import tprint
# Create the application instance
app = Flask(__name__, template_folder="./frontend", static_folder="./frontend")
app2 = connexion.App(__name__, specification_dir="./")
app2.app = Flask(__name__, template_folder="./frontend", static_folder="./frontend", static_url_path="/")
cors = CORS(app2.app)
# Read the swagger.yml file to configure the endpoints
app2.add_api("swagger.yml")
# api_doc(app2.app, config_path='swagger.yml', url_prefix='/api/ui_new', title='API doc')
# app2.app.after_request(set_cors_headers_on_response)
log = logging.getLogger('werkzeug')
log.setLevel(logging.ERROR)
# create a URL route in our application for "/"
@app2.route("/")
@cross_origin()
def home():
"""
This function just responds to the browser URL
localhost:5000/
:return: the rendered template "home.html"
"""
return render_template('home.html')
@app2.route("/jitsi")
@cross_origin()
def jitsi():
"""
This function just responds to the browser URL
localhost:5000/
:return: the rendered template "home.html"
"""
return render_template('jitsi.html')
## FOR CORS
def set_cors_headers_on_response(response):
response.headers['Access-Control-Allow-Origin'] = '*'
response.headers['Access-Control-Allow-Headers'] = 'X-Requested-With'
response.headers['Access-Control-Allow-Methods'] = 'OPTIONS'
return response
if __name__ == "__main__":
tprint("CUMMINS", font="starwars")
print("Creating all tables...")
db.create_all_tables()
print("Initialising MQTT...")
mqtt_messaging.init_mqtt()
app2.run(host=FLASK_HOST, port=FLASK_PORT, debug=False)
|
[
"[email protected]"
] | |
ac75b4bcad0db11a6a4a445c63f3cf1f7500903a
|
2288c4fa9a573f674c45b389523b862d29ba1573
|
/CCS source code/chat.py
|
3d785f7a9ede4cf95f7a0576c205836b4b1aa04e
|
[] |
no_license
|
new482/community-chat-system
|
d8e03ed2601bcecfcea07ba4a0dc307fa7752fe5
|
16271cc9fa7ab228490b34eab49f99388f377035
|
refs/heads/master
| 2021-01-10T07:08:56.607580 | 2015-11-25T18:08:18 | 2015-11-25T18:08:18 | 46,878,285 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 19,575 |
py
|
#!/usr/bin/env python
import socket
import sys
import select
import os
import string
import struct
import time
import fcntl
import thread
from datetime import datetime as dt
MCAST_GRP = '224.1.1.1'
MCAST_PORT = 8888
addressInNetwork = []
send_address = (MCAST_GRP, MCAST_PORT) # Set the address to send to
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM, socket.IPPROTO_UDP) # Create Datagram Socket (UDP)
s.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1) # Make Socket Reusable
s.setblocking(False) # Set socket to non-blocking mode
s.bind((MCAST_GRP, MCAST_PORT))
mreq = struct.pack("4sl", socket.inet_aton(MCAST_GRP), socket.INADDR_ANY)
s.setsockopt(socket.IPPROTO_IP, socket.IP_ADD_MEMBERSHIP, mreq)
s.setsockopt(socket.IPPROTO_IP, socket.IP_MULTICAST_TTL, 2)
print "Accepting connections on port", hex(MCAST_PORT)
def getLine():
inputReady,outputReady,exceptionReady = select.select([sys.stdin],[],[],0.0001)
for socketSelect in inputReady:
if socketSelect == sys.stdin:
input = sys.stdin.readline()
return input
return False
def checkBug(checkRoom):
flag = False
try:
roomNumber = int(checkRoom)
if (roomNumber==1) or (roomNumber==2) or (roomNumber==3) or (roomNumber==4):
flag = True
except:
pass
return flag
def getip(name):
s = socket.socket(socket.AF_INET,socket.SOCK_DGRAM)
return socket.inet_ntoa(
fcntl.ioctl(
s.fileno(),
0x8915,
struct.pack('256s',name[:15])
)[20:24]
)
def sendRequestFiles():
print "REQUEST FILES"
s.sendto("ASK-FILE", send_address)
def mergefile(file, fileName):
masterContent = ""
someOneContent = file.split("\n")
myfile = open(fileName, 'r')
myfile = myfile.read()
myContent = myfile.split("\n")
for index1 in range(len(myContent)):
if myContent[index1]:
masterContent += myContent[index1] + "\n"
for index2 in range(len(someOneContent)):
if someOneContent[index2] not in masterContent:
if someOneContent[index2]:
masterContent += someOneContent[index2] + "\n"
sortBydate(masterContent,fileName)
myfile.close()
def mergeuserfile(file, filename):
if "***@user" in file:
container = file.split("***@user")
file = container[1]
masteruser = ""
updatinguser = file.split("\n")
myuserfile = open(filename, 'r')
myuserfile = myuserfile.read()
checkuserfile = myuserfile.split("\n")
for index1 in range(len(checkuserfile)):
if checkuserfile[index1]:
masteruser += checkuserfile[index1] + "\n"
for index2 in range(len(updatinguser)):
if updatinguser[index2] not in masteruser:
if updatinguser[index2]:
masteruser += updatinguser[index2] + "\n"
writefile = open(filename,'w')
writefile.write(masteruser)
writefile.close()
def sortBydate(file,fileName):
masterSorted = ""
splitLine = file.split('\n')
spliterSize = len(splitLine) - 1
for outline in range(spliterSize):
outdate = dt.strptime('Mon Jan 01 00:00:00 3000', "%a %b %d %H:%M:%S %Y")
outString = ""
for inline in range(spliterSize):
inspliteLine = splitLine[inline].split('|')
indateTemp = inspliteLine[2]
indate = dt.strptime(indateTemp, "%a %b %d %H:%M:%S %Y")
if splitLine[inline] not in masterSorted:
if outdate > indate :
outdate = indate
outString = splitLine[inline]
masterSorted += outString + "\n"
writefile = open(fileName, 'w')
writefile.write(masterSorted)
writefile.close()
def callThread():
#start thread dispatch
thread.start_new_thread(dispatch, ())
def dispatch():
time.sleep(86400) #delete history every 24 hours
deleteHistory()
def deleteHistory():
f1 = open('log1.txt', 'w')
f1.write("")
f1.close()
f2 = open('log2.txt', 'w')
f2.write("")
f2.close()
f3 = open('log3.txt', 'w')
f3.write("")
f3.close()
f4 = open('log4.txt', 'w')
f4.write("")
f4.close()
def signin():
while True:
registered = raw_input("Do you have an account? [Yes/No]")
if registered.lower() == "yes":
while True:
id = raw_input("Username:")
pw = raw_input("Password:")
userlist = open('userlist.txt', 'r')
loginuser = id+"||!^"+pw
islogin = userlist.read()
checklogin = islogin.split("\n")
for index1 in range(len(checklogin)):
if loginuser == checklogin[index1]:
#print loginuser
logginguser = loginuser.split("||!^")
loguser = logginguser[0]
print "Logged in as: %s" % (loguser)
return loguser
print "Username or password is invalid"
elif registered.lower() == "no":
signup()
def signup():
while True:
newid = raw_input("Set your username:")
newpwd = raw_input("Your password:")
chkpwd = raw_input("Password confirmation:")
signupdelimeter = "||!^"
if newpwd == chkpwd:
userlist = open('userlist.txt','r')
existuser = newid+signupdelimeter
content = userlist.read()
if existuser in content:
print "This username has already been taken"
else:
userlist.close()
userlist = open('userlist.txt','a')
insertuser = newid+signupdelimeter+newpwd
userlist.write('%s' %(insertuser))
userlist.write('\n')
userlist.close()
newuser = open('newuser.txt','a')
newuser.write('%s' %(insertuser))
newuser.write('\n')
newuser.close()
print "Your account has been created"
return
else:
print "Password does not match"
def checktime(starttime):
start = starttime
end = time.time()
elapse = end - start
if elapse > 5:
timetoupdate()
start = time.time()
#print "user sent"
return start
def timetoupdate():
newuserlist = open('userlist.txt','r')
chkuser = newuserlist.read()
s.sendto("***@user"+chkuser,send_address)
#Split Message
def spliter(msg, n):
for i in xrange(0, len(msg), n):
yield msg[i:i+n]
def main():
maxtime = 1500
timeout = 0
isRoomSelected = 0
isSendAsk = 0
isFinishRequest = 0
myAddress = getip('wlan0')
callThread()
currentuser = signin()
starttime = time.time()
message_header = "HEADER"
message1 = []
message2 = []
message3 = []
message4 = []
message5 = []
full_msg1 = ""
full_msg2 = ""
full_msg3 = ""
full_msg4 = ""
full_msg5 = ""
MTU = 1500
isHeader1 = True
isHeader2 = True
isHeader3 = True
isHeader4 = True
isHeader5 = True
isSendHeader1 = True
isSendHeader2 = True
isSendHeader3 = True
isSendHeader4 = True
isSendHeader5 = True
#print starttime
#print "This is in main loop"
#print currentuser
while True:
try:
if isRoomSelected == 0:
if isSendAsk == 0:
sendRequestFiles()
isSendAsk =1
while isFinishRequest == 0:
if timeout == maxtime:
isFinishRequest = 1
else:
timeout = timeout + 1
message, address = s.recvfrom(8192)
print "Merge File"
##MTU:before goto merge, concat message first
if "***1H" in message:
if message_header in message:
message = message.split("***1H")
data = message[1]
message_size1 = int(str(data[len(message_header):]))
elif "***2H" in message:
if message_header in message:
message = message.split("***2H")
data = message[1]
message_size2 = int(str(data[len(message_header):]))
elif "***3H" in message:
if message_header in message:
message = message.split("***3H")
data = message[1]
message_size3 = int(str(data[len(message_header):]))
elif "***4H" in message:
if message_header in message:
message = message.split("***4H")
data = message[1]
message_size4 = int(str(data[len(message_header):]))
elif "***5H" in message:
if message_header in message:
message = message.split("***5H")
data = message[1]
message_size5 = int(str(data[len(message_header):]))
elif "***@1Z" in message:
container = message.split("***@1Z")
mergefile(container[1], "log1.txt")
elif "***@1SZ" in message:
print "Merge fragment"
container = message.split("***@1SZ")
#print container[0]+container[1]
message1.append(container[1])
full_msg1 = "".join(message1)
print "full_msg"+str(len(full_msg1))
if len(full_msg1) >= message_size1:
print "msg-size"+str(message_size1)
mergefile(full_msg1, "log1.txt")
print "After Merge"
elif "***@2Z" in message:
container = message.split("***@2Z")
mergefile(container[1], "log2.txt")
elif "***@2SZ" in message:
print "Prepare Merge"
container = message.split("***@2SZ")
#print container[0]+container[1]
message2.append(container[1])
full_msg2 = "".join(message2)
print "full_msg"+str(len(full_msg2))
if len(full_msg2) >= message_size2:
print "msg-size"+str(message_size2)
mergefile(full_msg2, "log2.txt")
print "After Merge"
elif "***@3Z" in message:
container = message.split("***@3Z")
mergefile(container[1], "log3.txt")
elif "***@3SZ" in message:
print "Prepare Merge"
container = message.split("***@3SZ")
#print container[0]+container[1]
message3.append(container[1])
full_msg3 = "".join(message3)
print "full_msg"+str(len(full_msg3))
if len(full_msg3) >= message_size3:
print "msg-size"+str(message_size3)
mergefile(full_msg3, "log3.txt")
print "After Merge"
elif "***@4Z" in message:
container = message.split("***@4Z")
mergefile(container[1], "log4.txt")
elif "***@4SZ" in message:
print "Prepare Merge"
container = message.split("***@4SZ")
#print container[0]+container[1]
message4.append(container[1])
full_msg4 = "".join(message4)
print "full_msg"+str(len(full_msg4))
if len(full_msg4) >= message_size4:
print "msg-size"+str(message_size4)
mergefile(full_msg4, "log4.txt")
print "After Merge"
elif "***@user" in message:
container = message.split("***@user")
mergeuserfile(container[1], "userlist.txt")
elif "***@userS" in message:
print "Prepare Merge"
container = message.split("***@userS")
#print container[0]+container[1]
message5.append(container[1])
full_msg5 = "".join(message5)
print "full_msg"+str(len(full_msg5))
if len(full_msg5) >= message_size5:
print "msg-size"+str(message_size5)
mergefile(full_msg5, "userlist.txt")
print "After Merge"
roomNumber = raw_input("Enter Room Number [1,2,3,4]: ")
if checkBug(roomNumber):
isRoomSelected = 1
f0 = open('log'+roomNumber +'.txt', 'r') #print chat history
print(f0.read())
f0.close()
else:
message, address = s.recvfrom(8192)
starttime = checktime(starttime)
if message != "ASK-FILE":
if "||!^" in message:
mergeuserfile(message,'userlist.txt')
elif "***@1Z" not in message and "***@2Z" not in message and "***@3Z" not in message and "***@4Z" not in message and "***@user" not in message:
message = message.split("|")
RCVTime = message[0]
RCVRoom = message[1]
RCVInput = message[2]
RCVcurrentuser = message[3]
f1 = open('log1.txt', 'a')
f2 = open('log2.txt', 'a')
f3 = open('log3.txt', 'a')
f4 = open('log4.txt', 'a')
if RCVRoom == "1" :
f1.write('%s|%s|%s|%s|%s'.rstrip('\n') %(RCVcurrentuser,address,RCVTime,RCVRoom,RCVInput))
elif RCVRoom == "2" :
f2.write('%s|%s|%s|%s|%s'.rstrip('\n') %(RCVcurrentuser,address,RCVTime,RCVRoom,RCVInput))
elif RCVRoom == "3" :
f3.write('%s|%s|%s|%s|%s'.rstrip('\n') %(RCVcurrentuser,address,RCVTime,RCVRoom,RCVInput))
elif RCVRoom == "4" :
f4.write('%s|%s|%s|%s|%s'.rstrip('\n') %(RCVcurrentuser,address,RCVTime,RCVRoom,RCVInput))
f1.close()
f2.close()
f3.close()
f4.close()
if RCVInput and roomNumber == RCVRoom:
print RCVcurrentuser, address , RCVTime , RCVRoom , RCVInput
else:
if myAddress not in address:
if message == "ASK-FILE":
print "SEND FILES"
ff1 = open('log1.txt', 'r')
ff2 = open('log2.txt', 'r')
ff3 = open('log3.txt', 'r')
ff4 = open('log4.txt', 'r')
readuserlist = open('userlist.txt', 'r')
file1 = ff1.read()
file2 = ff2.read()
file3 = ff3.read()
file4 = ff4.read()
alluser = readuserlist.read()
##Handle MTU
if len(file1) < MTU:
print "file1 < MTU"
s.sendto("***@1Z"+file1, send_address)
else:
print "file1 > MTU"
if isSendHeader1:
header = "HEADER" + str(len(file1))
if (len(header) < 20):
blank = 20 - len(header)
header = header + (' ' * blank)
s.sendto("***1H"+header, send_address)
isSendHeader1 = False
for data in spliter(file1,MTU):
print str(len(data))
s.sendto("***@1SZ"+data, send_address)
if len(file2) < MTU:
print "file2 < MTU"
s.sendto("***@2Z"+file2, send_address)
else:
print "file2 > MTU"
if isSendHeader2:
header = "HEADER" + str(len(file2))
if (len(header) < 20):
blank = 20 - len(header)
header = header + (' ' * blank)
s.sendto("***2H"+header, send_address)
isSendHeader2 = False
for data in spliter(file2,MTU):
print str(len(data))
s.sendto("***@2SZ"+data, send_address)
if len(file3) < MTU:
print "file3 < MTU"
s.sendto("***@3Z"+file3, send_address)
else:
print "file3 > MTU"
if isSendHeader3:
header = "HEADER" + str(len(file3))
if (len(header) < 20):
blank = 20 - len(header)
header = header + (' ' * blank)
s.sendto("***3H"+header, send_address)
isSendHeader3 = False
for data in spliter(file3,MTU):
print str(len(data))
s.sendto("***@3SZ"+data, send_address)
if len(file4) < MTU:
print "file4 < MTU"
s.sendto("***@4Z"+file4, send_address)
else:
print "file4 > MTU"
if isSendHeader4:
header = "HEADER" + str(len(file4))
if (len(header) < 20):
blank = 20 - len(header)
header = header + (' ' * blank)
s.sendto("***4H"+header, send_address)
isSendHeader4 = False
for data in spliter(file4,MTU):
print str(len(data))
s.sendto("***@4SZ"+data, send_address)
if len(alluser) < MTU:
print "alluserfile < MTU"
s.sendto("***@user"+alluser, send_address)
else:
print "alluserfile > MTU"
if isSendHeader5:
header = "HEADER" + str(len(alluser))
if (len(header) < 20):
blank = 20 - len(header)
header = header + (' ' * blank)
s.sendto("***5H"+header, send_address)
isSendHeader5 = False
for data in spliter(alluser,MTU):
print str(len(data))
s.sendto("***@userS"+data, send_address)
ff1.close()
ff2.close()
ff3.close()
ff4.close()
readuserlist.close()
print "END SEND FILES"
except:
pass
input = getLine()
if input:
localtime = time.asctime(time.localtime(time.time()))
s.sendto(localtime+"|"+roomNumber+"|"+input+"|"+currentuser, send_address)
if __name__ == '__main__':
main()
|
[
"[email protected]"
] | |
5cd97eef24dc0d66d8ad96a005553d4bd3d1f235
|
ba5c0aebbca1038995a5f9dce60278184f348ff9
|
/triplesum.py
|
effa4594c2f062f2366f8b72a874204f9159e48f
|
[
"MIT"
] |
permissive
|
rresender/python-samples
|
fda485aaa016867612885589898dd9a56cd558c9
|
2fb2330f59f3cc0c6b975381e22268a758773b69
|
refs/heads/master
| 2020-09-17T01:13:30.786118 | 2020-02-28T15:44:05 | 2020-02-28T15:44:05 | 223,943,288 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 588 |
py
|
def triplets(a, b, c):
a = distinct(a)
b = distinct(b)
c = distinct(c)
ini = mid = end = triple = 0
while mid < len(b):
while ini < len(a) and a[ini] <= b[mid]: ini += 1
while end < len(c) and c[end] <= b[mid]: end += 1
triple += ini * end
mid += 1
return triple
def distinct(x):
return list(sorted(set(x)))
if __name__ == '__main__':
triplets([3, 5, 7],[3, 6],[4, 6, 9])
triplets([1, 3, 5],[2, 3],[1, 2, 3])
print(triplets([1, 3, 5, 7],[5, 7, 9],[7, 9, 11, 13]))
print(triplets([1, 4, 5],[2, 3, 3],[1, 2, 3]))
|
[
"[email protected]"
] | |
0fbc3c0d1ea493c7b8c03b62c9104b1f4803931c
|
acb8e84e3b9c987fcab341f799f41d5a5ec4d587
|
/langs/2/ef3.py
|
7ea48f160f18a4c7e1914e1c32d84b3d8df9be75
|
[] |
no_license
|
G4te-Keep3r/HowdyHackers
|
46bfad63eafe5ac515da363e1c75fa6f4b9bca32
|
fb6d391aaecb60ab5c4650d4ae2ddd599fd85db2
|
refs/heads/master
| 2020-08-01T12:08:10.782018 | 2016-11-13T20:45:50 | 2016-11-13T20:45:50 | 73,624,224 | 0 | 1 | null | null | null | null |
UTF-8
|
Python
| false | false | 486 |
py
|
import sys
def printFunction(lineRemaining):
if lineRemaining[0] == '"' and lineRemaining[-1] == '"':
if len(lineRemaining) > 2:
#data to print
lineRemaining = lineRemaining[1:-1]
print ' '.join(lineRemaining)
else:
print
def main(fileName):
with open(fileName) as f:
for line in f:
data = line.split()
if data[0] == 'eF3':
printFunction(data[1:])
else:
print 'ERROR'
return
if __name__ == '__main__':
main(sys.argv[1])
|
[
"[email protected]"
] | |
5bc8073cfa36a998bb67cbfb0078c319d984d68b
|
f561a219c57bd75790d3155acac6f54299a88b08
|
/city/migrations/0010_auto_20170406_1957.py
|
c4a0d52767af5f7c0852ea55762bea83e23cf8ea
|
[] |
no_license
|
ujjwalagrawal17/OfferCartServer
|
1e81cf2dc17f19fa896062c2a084e6b232a8929e
|
b3cd1c5f8eecc167b6f4baebed3c4471140d905f
|
refs/heads/master
| 2020-12-30T15:31:04.380084 | 2017-05-24T18:26:20 | 2017-05-24T18:26:20 | 91,155,405 | 1 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 472 |
py
|
# -*- coding: utf-8 -*-
# Generated by Django 1.10.5 on 2017-04-06 19:57
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('city', '0009_auto_20170406_1951'),
]
operations = [
migrations.AlterField(
model_name='citydata',
name='name',
field=models.CharField(blank=True, max_length=255, null=True),
),
]
|
[
"[email protected]"
] | |
0fc0e4812b3eb8ad4a7e249f78fe06865f06f248
|
759cd1775924f87c20efcd76173a04d08ce3be33
|
/osa11-18_tilauskirja/test/test_tilauskirja3.py
|
5f454d32a7816d2095d79336bd0fc6e262af873d
|
[] |
no_license
|
niinasaarelainen/ohja-2020-python
|
7ea454a012d58a6a0f74990785e2471f8d9d9558
|
85fdf86ec954664d261567ca72d319861924f55d
|
refs/heads/main
| 2023-02-05T10:02:47.742550 | 2020-12-20T15:35:39 | 2020-12-20T15:35:39 | 323,090,427 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 4,973 |
py
|
import unittest
from unittest.mock import patch
from tmc import points, reflect
from tmc.utils import load, load_module, reload_module, get_stdout, check_source
from functools import reduce
import os
import os.path
import textwrap
from random import choice, randint
from datetime import date, datetime, timedelta
exercise = 'src.koodi'
def f(attr: list):
return ",".join(attr)
def s(l: list):
return "\n".join(l)
def ss(l: list):
return "\n".join([f'{s}' for s in l])
def tt(x):
status = "EI VALMIS" if not x[3] else "VALMIS"
return f"{x[0]} ({x[1]} tuntia), koodari {x[2]} {status}"
def ook(val, tt):
if len(val) != len(tt):
return False
for v in val:
ouk = False
for t in tt:
if ok(v, t[0], t[1], t[2], t[3]):
ouk = True
if not ouk:
return False
return True
def ok(tehtava, kuvaus, koodari, tyomaara, status=False):
return tehtava.kuvaus == kuvaus and tehtava.koodari == koodari and tehtava.tyomaara == tyomaara and tehtava.on_valmis() == status
@points('11.tilauskirja_osa4')
class TilauskirjaOsa4Test(unittest.TestCase):
@classmethod
def setUpClass(cls):
with patch('builtins.input', side_effect=["0"]):
cls.module = load_module(exercise, 'fi')
def test_1_koodarin_status(self):
reload_module(self.module)
from src.koodi import Tilauskirja, Tehtava
koodi = """
t = Tilauskirja()
t.lisaa_tilaus("koodaa webbikauppa", "Antti", 10)
t.koodarin_status("Antti")
"""
t = Tilauskirja()
t.lisaa_tilaus("koodaa webbikauppa", "Antti", 10)
try:
val = t.koodarin_status("Antti")
except Exception as e:
self.fail(f'Koodin {koodi}suoritus aiheutti virheen\n{e}\nOnhan metodi koodarin_status(self, koodari: str) määritelty?')
taip = str(type(val)).replace("<class '","").replace("'>","")
self.assertTrue(type(val) == type(()), f"Kon suoritetaan{koodi}paluuarvon pitäisi olla tuple, nyt sen tyyppi on {taip}")
odotettu = 4
self.assertTrue(len(val)==odotettu, f"Kun suoritetaan {koodi}\npitäisi palauttaa tuple, jonka pituus on {odotettu}, palautetun tuplen pituus oli {len(val)}")
valx = val
for i in [0,1,2,3]:
val = valx[i]
taip = str(type(val)).replace("<class '","").replace("'>","")
self.assertTrue(type(val) == type(1), f"Kon suoritetaan{koodi}palautetun tuplen pitäisi sisältää kokonaislukuja, nyt mukana on arvo, jonka tyyppi on {taip}. Palautettu tuple on {valx}")
val = valx
odotettu = (0, 1, 0, 10)
self.assertTrue(val==odotettu, f"Kun suoritetaan {koodi}\npitäisi palauttaa {odotettu}, nuyt palautettiin {val}")
def test_2_koodarin_status(self):
reload_module(self.module)
from src.koodi import Tilauskirja, Tehtava
koodi = """
t = Tilauskirja()
t.lisaa_tilaus("koodaa webbikauppa", "Antti", 10)
t.lisaa_tilaus("tee mobiilipeli", "Antti", 5)
t.lisaa_tilaus("koodaa pygamella jotain", "Antti", 50)
t.lisaa_tilaus("koodaa parempi facebook", "joona", 5000)
t.merkkaa_valmiiksi(1)
t.merkkaa_valmiiksi(2)
t.koodarin_status("Antti")
"""
t = Tilauskirja()
t.lisaa_tilaus("koodaa webbikauppa", "Antti", 10)
t.lisaa_tilaus("tee mobiilipeli", "Antti", 5)
t.lisaa_tilaus("koodaa pygamella jotain", "Antti", 50)
t.lisaa_tilaus("koodaa parempi facebook", "joona", 5000)
til = t.kaikki_tilaukset()
id1 = til[0].id
id2 = til[1].id
try:
t.merkkaa_valmiiksi(id1)
t.merkkaa_valmiiksi(id2)
except Exception as e:
self.fail(f'Koodin {koodi}suoritus aiheutti virheen\n{e}\nOnhan metodi merkkaa_valmiiksi(self, id: int) määritelty?')
try:
val = t.koodarin_status("Antti")
except Exception as e:
self.fail(f'Koodin {koodi}suoritus aiheutti virheen\n{e}\nOnhan metodi koodarin_status(self, koodari: str) määritelty?')
odotettu = (2, 1, 15, 50)
self.assertTrue(val==odotettu, f"Kun suoritetaan {koodi}\npitäisi palauttaa {odotettu}, nuyt palautettiin {val}")
def test_4_koodarin_status_tuottaa_poikkeuksen(self):
reload_module(self.module)
from src.koodi import Tilauskirja, Tehtava
koodi = """
t = Tilauskirja()
t.lisaa_tilaus("koodaa webbikauppa", "Antti", 10)
t.koodarin_status("JohnDoe")
"""
t = Tilauskirja()
t.lisaa_tilaus("koodaa webbikauppa", "Antti", 10)
ok = False
try:
val = t.koodarin_status("JohnDoe")
except ValueError:
ok = True
except Exception as e:
self.fail(f'Koodin {koodi}suoritus aiheutti virheen\n{e}')
self.assertTrue(ok, f'Koodin {koodi}suorituksen pitäisi tuottaa poikkeus ValueError')
if __name__ == '__main__':
unittest.main()
|
[
"[email protected]"
] | |
9a01b747a9686a0b88880483eecbb1d9200693b3
|
79bef6363f16219fe66f9166f2a168db16f5670d
|
/http/EcoSim/home/views.py
|
c7d434682ae223ffc10485202701484ab2365256
|
[] |
no_license
|
HuzenDevHouse/Eco-Simul
|
ce0da34185ef130323626af37cc3e2096cc96686
|
ce826a85576b32b49cbd2d562c5a3978b32b93a7
|
refs/heads/master
| 2021-09-02T11:54:58.321392 | 2018-01-02T10:37:04 | 2018-01-02T10:37:04 | 104,362,918 | 1 | 1 | null | null | null | null |
UTF-8
|
Python
| false | false | 214 |
py
|
from django.shortcuts import render
from django.http import HttpResponse
def index(request):
msg = "Welcome To Page"
return render(request, 'home/index.html', {'message': msg})
# Create your views here.
|
[
"[email protected]"
] | |
a40784738ed092668081456e1b724bb29a5780e8
|
163bbb4e0920dedd5941e3edfb2d8706ba75627d
|
/Code/CodeRecords/2790/60589/243105.py
|
230152d093784ddcfff077a0a0b37bbdb892f405
|
[] |
no_license
|
AdamZhouSE/pythonHomework
|
a25c120b03a158d60aaa9fdc5fb203b1bb377a19
|
ffc5606817a666aa6241cfab27364326f5c066ff
|
refs/heads/master
| 2022-11-24T08:05:22.122011 | 2020-07-28T16:21:24 | 2020-07-28T16:21:24 | 259,576,640 | 2 | 1 | null | null | null | null |
UTF-8
|
Python
| false | false | 350 |
py
|
nm=input().split(' ')
n=int(nm[0])
m=int(nm[1])
a=list(map(int,input().split(' ')))
b=list(map(int,input().split(' ')))
ans=[]
a.sort()
for e in b:
has=False
for i in range(n):
if a[i]>e:
has=True
ans.append(i)
break
if not has:
ans.append(n)
ans=list(map(str,ans))
print(' '.join(ans))
|
[
"[email protected]"
] | |
5e6dc7c003bc33b62f4505e8b5de7f9ddd5eb95c
|
8128d30cde54ab3b3cd6ff3ee91949e241c2344a
|
/In Progress - Data Science Scholarship Program Powered by Bertelsmann/Lesson 24 - Data Type and Operators/Scripts/006 - len.py
|
c1db3eca3854f95757b2d98e8923033446cc8947
|
[
"Apache-2.0"
] |
permissive
|
Ranganaths/Courses
|
213927733aceff2ab26ddb1c9960f89e0e23b36e
|
879dbcd758aa4f16aa8cc0c2e595a7b16912a9cf
|
refs/heads/master
| 2020-03-23T17:46:34.947373 | 2018-07-19T21:39:12 | 2018-07-19T21:39:12 | null | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 649 |
py
|
'''
Quiz: len()
Use string concatenation and the len() function to find the length of a certain movie star's actual full name.
Store that length in the name_length variable. Don't forget that there are spaces in between the different parts of a name!
'''
given_name = "William"
middle_names = "Bradley"
family_name = "Pitt"
#todo: calculate how long this name is
name_length = len(given_name + " " + middle_names + " " + family_name)
# Now we check to make sure that the name fits within the driving license character limit
# Nothing you need to do here
driving_license_character_limit = 28
print(name_length <= driving_license_character_limit)
|
[
"[email protected]"
] | |
243ff6fb2682b150f69e6ebee075bb6e21f72971
|
dcf887939f3d4f53ddf73e05e21114aa07b86a18
|
/app/views.py
|
e2fa29ff792f1f4dbbac522b3d2a7176738d8bb8
|
[] |
no_license
|
Dyepitech/Epytodo
|
771905e8eb1fadb3bbe9c65da8148eeed1568a9e
|
d91cb0788d1404f1731618c43d3c23f9b284c29b
|
refs/heads/master
| 2022-11-18T02:55:50.471008 | 2020-07-13T13:01:05 | 2020-07-13T13:01:05 | 270,681,527 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 1,828 |
py
|
from app import app
from flask import render_template, session
from flask import jsonify
from flask import Flask, request
import pymysql as sql
from app import controller
from app import models
@app.route('/', methods=['GET'])
def route_index():
return models.main_page()
@app.route('/register', methods=['POST', 'GET'])
def route_register():
if request.method == "POST":
try:
data = controller.user_sql(json_data=request.json, form_data=request.form)
return models.create_user(data)
except:
return jsonify(error="internal error")
else:
return render_template("register.html")
@app.route('/login', methods=['POST', 'GET'])
def route_login():
if request.method == "POST":
try:
data = controller.user_sql(json_data=request.json, form_data=request.form)
return models.check_user(data)
except:
return (jsonify(error="internal error"), models.main_page())
else:
return render_template("login.html")
@app.route('/task', methods=['GET'])
def route_user_task():
try:
return models.display_all_task()
except:
return jsonify(error="internal error")
@app.route('/delete/task/<id_task>', methods=['POST'])
def route_user_task_del(id_task):
try:
return models.task_delete(id_task=id_task)
except:
return jsonify(error="internal error")
@app.route('/todo', methods=['POST', 'GET'])
def route_addtask():
if request.method == "POST":
try:
data = controller.task_sql(json_data=request.json, form_data=request.form)
return models.create_task(data=data)
except Exception as e:
print(e)
return jsonify(error="internal error")
else:
return render_template("todo.html")
|
[
"[email protected]"
] | |
d2f61390d6b2c4b81f9dcb27acbe7b81d9e4cc13
|
16734d189c2bafa9c66fdc989126b7d9aa95c478
|
/Python/flask/counter/server.py
|
1c6c4ef1a9e0e7f137e799fcf25543dac002609e
|
[] |
no_license
|
Ericksmith/CD-projects
|
3dddd3a3819341be7202f11603cf793a2067c140
|
3b06b6e289d241c2f1115178c693d304280c2502
|
refs/heads/master
| 2021-08-15T17:41:32.329647 | 2017-11-18T01:18:04 | 2017-11-18T01:18:04 | 104,279,162 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 534 |
py
|
from flask import Flask, session, render_template, request, redirect
app = Flask(__name__)
app.secret_key = "Dojo"
@app.route('/')
def index():
if session.get('counter') == None:
session['counter'] = 0
session['counter'] += 1
return render_template('index.html', counter = session['counter'])
@app.route('/doubleCount')
def doubleCount():
session['counter'] += 2
return redirect('/')
@app.route('/countReset')
def countReset():
session['counter'] = 0
return redirect('/')
app.run(debug=True)
|
[
"[email protected]"
] | |
0a79edc64c01026d73147c2ba199040dde418acb
|
0d75e69be45600c5ef5f700e409e8522b9678a02
|
/IWDjangoAssignment1/settings.py
|
fbefbb96d64fcd6e7f9d12d0300504134dbaecd7
|
[] |
no_license
|
sdrsnadkry/IWDjangoAssignment1
|
28d4d6c264aac250e66a7be568fee29f1700464b
|
6eb533d8bbdae68a6952113511626405e718cac6
|
refs/heads/master
| 2022-11-29T07:53:37.374821 | 2020-07-18T03:27:52 | 2020-07-18T03:27:52 | 280,572,491 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 3,138 |
py
|
"""
Django settings for IWDjangoAssignment1 project.
Generated by 'django-admin startproject' using Django 3.0.7.
For more information on this file, see
https://docs.djangoproject.com/en/3.0/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.0/ref/settings/
"""
import os
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/3.0/howto/deployment/checklist/
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = '%g^opnnuo)*09sbtnne1)v9%b%r&k$166ox+no@$%eeshu42ho'
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = True
ALLOWED_HOSTS = []
# Application definition
INSTALLED_APPS = [
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.messages',
'django.contrib.staticfiles',
'blog'
]
MIDDLEWARE = [
'django.middleware.security.SecurityMiddleware',
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.common.CommonMiddleware',
'django.middleware.csrf.CsrfViewMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
'django.middleware.clickjacking.XFrameOptionsMiddleware',
]
ROOT_URLCONF = 'IWDjangoAssignment1.urls'
TEMPLATES = [
{
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'DIRS': [],
'APP_DIRS': True,
'OPTIONS': {
'context_processors': [
'django.template.context_processors.debug',
'django.template.context_processors.request',
'django.contrib.auth.context_processors.auth',
'django.contrib.messages.context_processors.messages',
],
},
},
]
WSGI_APPLICATION = 'IWDjangoAssignment1.wsgi.application'
# Database
# https://docs.djangoproject.com/en/3.0/ref/settings/#databases
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': os.path.join(BASE_DIR, 'db.sqlite3'),
}
}
# Password validation
# https://docs.djangoproject.com/en/3.0/ref/settings/#auth-password-validators
AUTH_PASSWORD_VALIDATORS = [
{
'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator',
},
]
# Internationalization
# https://docs.djangoproject.com/en/3.0/topics/i18n/
LANGUAGE_CODE = 'en-us'
TIME_ZONE = 'UTC'
USE_I18N = True
USE_L10N = True
USE_TZ = True
# Static files (CSS, JavaScript, Images)
# https://docs.djangoproject.com/en/3.0/howto/static-files/
STATIC_URL = '/static/'
|
[
"[email protected]"
] | |
9962922584c412b05fbb00dc271d5fd91f46fe79
|
23611933f0faba84fc82a1bc0a85d97cf45aba99
|
/google-cloud-sdk/.install/.backup/lib/third_party/ruamel/yaml/resolver.py
|
84227072e066b8f2528baaf4a25c43995cd4061a
|
[
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0",
"MIT"
] |
permissive
|
KaranToor/MA450
|
1f112d1caccebdc04702a77d5a6cee867c15f75c
|
c98b58aeb0994e011df960163541e9379ae7ea06
|
refs/heads/master
| 2021-06-21T06:17:42.585908 | 2020-12-24T00:36:28 | 2020-12-24T00:36:28 | 79,285,433 | 1 | 1 |
Apache-2.0
| 2020-12-24T00:38:09 | 2017-01-18T00:05:44 |
Python
|
UTF-8
|
Python
| false | false | 14,599 |
py
|
# coding: utf-8
from __future__ import absolute_import
import re
try:
from .error import * # NOQA
from .nodes import * # NOQA
from .compat import string_types
except (ImportError, ValueError): # for Jython
from ruamel.yaml.error import * # NOQA
from ruamel.yaml.nodes import * # NOQA
from ruamel.yaml.compat import string_types
__all__ = ['BaseResolver', 'Resolver', 'VersionedResolver']
_DEFAULT_VERSION = (1, 2)
class ResolverError(YAMLError):
pass
class BaseResolver(object):
DEFAULT_SCALAR_TAG = u'tag:yaml.org,2002:str'
DEFAULT_SEQUENCE_TAG = u'tag:yaml.org,2002:seq'
DEFAULT_MAPPING_TAG = u'tag:yaml.org,2002:map'
yaml_implicit_resolvers = {}
yaml_path_resolvers = {}
def __init__(self):
self._loader_version = None
self.resolver_exact_paths = []
self.resolver_prefix_paths = []
@classmethod
def add_implicit_resolver(cls, tag, regexp, first):
if 'yaml_implicit_resolvers' not in cls.__dict__:
cls.yaml_implicit_resolvers = cls.yaml_implicit_resolvers.copy()
if first is None:
first = [None]
for ch in first:
cls.yaml_implicit_resolvers.setdefault(ch, []).append(
(tag, regexp))
@classmethod
def add_path_resolver(cls, tag, path, kind=None):
# Note: `add_path_resolver` is experimental. The API could be changed.
# `new_path` is a pattern that is matched against the path from the
# root to the node that is being considered. `node_path` elements are
# tuples `(node_check, index_check)`. `node_check` is a node class:
# `ScalarNode`, `SequenceNode`, `MappingNode` or `None`. `None`
# matches any kind of a node. `index_check` could be `None`, a boolean
# value, a string value, or a number. `None` and `False` match against
# any _value_ of sequence and mapping nodes. `True` matches against
# any _key_ of a mapping node. A string `index_check` matches against
# a mapping value that corresponds to a scalar key which content is
# equal to the `index_check` value. An integer `index_check` matches
# against a sequence value with the index equal to `index_check`.
if 'yaml_path_resolvers' not in cls.__dict__:
cls.yaml_path_resolvers = cls.yaml_path_resolvers.copy()
new_path = []
for element in path:
if isinstance(element, (list, tuple)):
if len(element) == 2:
node_check, index_check = element
elif len(element) == 1:
node_check = element[0]
index_check = True
else:
raise ResolverError("Invalid path element: %s" % element)
else:
node_check = None
index_check = element
if node_check is str:
node_check = ScalarNode
elif node_check is list:
node_check = SequenceNode
elif node_check is dict:
node_check = MappingNode
elif node_check not in [ScalarNode, SequenceNode, MappingNode] \
and not isinstance(node_check, string_types) \
and node_check is not None:
raise ResolverError("Invalid node checker: %s" % node_check)
if not isinstance(index_check, (string_types, int)) \
and index_check is not None:
raise ResolverError("Invalid index checker: %s" % index_check)
new_path.append((node_check, index_check))
if kind is str:
kind = ScalarNode
elif kind is list:
kind = SequenceNode
elif kind is dict:
kind = MappingNode
elif kind not in [ScalarNode, SequenceNode, MappingNode] \
and kind is not None:
raise ResolverError("Invalid node kind: %s" % kind)
cls.yaml_path_resolvers[tuple(new_path), kind] = tag
def descend_resolver(self, current_node, current_index):
if not self.yaml_path_resolvers:
return
exact_paths = {}
prefix_paths = []
if current_node:
depth = len(self.resolver_prefix_paths)
for path, kind in self.resolver_prefix_paths[-1]:
if self.check_resolver_prefix(depth, path, kind,
current_node, current_index):
if len(path) > depth:
prefix_paths.append((path, kind))
else:
exact_paths[kind] = self.yaml_path_resolvers[path,
kind]
else:
for path, kind in self.yaml_path_resolvers:
if not path:
exact_paths[kind] = self.yaml_path_resolvers[path, kind]
else:
prefix_paths.append((path, kind))
self.resolver_exact_paths.append(exact_paths)
self.resolver_prefix_paths.append(prefix_paths)
def ascend_resolver(self):
if not self.yaml_path_resolvers:
return
self.resolver_exact_paths.pop()
self.resolver_prefix_paths.pop()
def check_resolver_prefix(self, depth, path, kind,
current_node, current_index):
node_check, index_check = path[depth-1]
if isinstance(node_check, string_types):
if current_node.tag != node_check:
return
elif node_check is not None:
if not isinstance(current_node, node_check):
return
if index_check is True and current_index is not None:
return
if (index_check is False or index_check is None) \
and current_index is None:
return
if isinstance(index_check, string_types):
if not (isinstance(current_index, ScalarNode) and
index_check == current_index.value):
return
elif isinstance(index_check, int) and not isinstance(index_check,
bool):
if index_check != current_index:
return
return True
def resolve(self, kind, value, implicit):
if kind is ScalarNode and implicit[0]:
if value == u'':
resolvers = self.yaml_implicit_resolvers.get(u'', [])
else:
resolvers = self.yaml_implicit_resolvers.get(value[0], [])
resolvers += self.yaml_implicit_resolvers.get(None, [])
for tag, regexp in resolvers:
if regexp.match(value):
return tag
implicit = implicit[1]
if self.yaml_path_resolvers:
exact_paths = self.resolver_exact_paths[-1]
if kind in exact_paths:
return exact_paths[kind]
if None in exact_paths:
return exact_paths[None]
if kind is ScalarNode:
return self.DEFAULT_SCALAR_TAG
elif kind is SequenceNode:
return self.DEFAULT_SEQUENCE_TAG
elif kind is MappingNode:
return self.DEFAULT_MAPPING_TAG
@property
def processing_version(self):
return None
class Resolver(BaseResolver):
pass
Resolver.add_implicit_resolver(
u'tag:yaml.org,2002:bool',
re.compile(u'''^(?:yes|Yes|YES|no|No|NO
|true|True|TRUE|false|False|FALSE
|on|On|ON|off|Off|OFF)$''', re.X),
list(u'yYnNtTfFoO'))
Resolver.add_implicit_resolver(
u'tag:yaml.org,2002:float',
re.compile(u'''^(?:
[-+]?(?:[0-9][0-9_]*)\\.[0-9_]*(?:[eE][-+]?[0-9]+)?
|[-+]?(?:[0-9][0-9_]*)(?:[eE][-+]?[0-9]+)
|\\.[0-9_]+(?:[eE][-+][0-9]+)?
|[-+]?[0-9][0-9_]*(?::[0-5]?[0-9])+\\.[0-9_]*
|[-+]?\\.(?:inf|Inf|INF)
|\\.(?:nan|NaN|NAN))$''', re.X),
list(u'-+0123456789.'))
Resolver.add_implicit_resolver(
u'tag:yaml.org,2002:int',
re.compile(u'''^(?:[-+]?0b[0-1_]+
|[-+]?0o?[0-7_]+
|[-+]?(?:0|[1-9][0-9_]*)
|[-+]?0x[0-9a-fA-F_]+
|[-+]?[1-9][0-9_]*(?::[0-5]?[0-9])+)$''', re.X),
list(u'-+0123456789'))
Resolver.add_implicit_resolver(
u'tag:yaml.org,2002:merge',
re.compile(u'^(?:<<)$'),
[u'<'])
Resolver.add_implicit_resolver(
u'tag:yaml.org,2002:null',
re.compile(u'''^(?: ~
|null|Null|NULL
| )$''', re.X),
[u'~', u'n', u'N', u''])
Resolver.add_implicit_resolver(
u'tag:yaml.org,2002:timestamp',
re.compile(u'''^(?:[0-9][0-9][0-9][0-9]-[0-9][0-9]-[0-9][0-9]
|[0-9][0-9][0-9][0-9] -[0-9][0-9]? -[0-9][0-9]?
(?:[Tt]|[ \\t]+)[0-9][0-9]?
:[0-9][0-9] :[0-9][0-9] (?:\\.[0-9]*)?
(?:[ \\t]*(?:Z|[-+][0-9][0-9]?(?::[0-9][0-9])?))?)$''', re.X),
list(u'0123456789'))
Resolver.add_implicit_resolver(
u'tag:yaml.org,2002:value',
re.compile(u'^(?:=)$'),
[u'='])
# The following resolver is only for documentation purposes. It cannot work
# because plain scalars cannot start with '!', '&', or '*'.
Resolver.add_implicit_resolver(
u'tag:yaml.org,2002:yaml',
re.compile(u'^(?:!|&|\\*)$'),
list(u'!&*'))
# resolvers consist of
# - a list of applicable version
# - a tag
# - a regexp
# - a list of first characters to match
implicit_resolvers = [
([(1, 2)],
u'tag:yaml.org,2002:bool',
re.compile(u'''^(?:true|True|TRUE|false|False|FALSE)$''', re.X),
list(u'tTfF')),
([(1, 1)],
u'tag:yaml.org,2002:bool',
re.compile(u'''^(?:yes|Yes|YES|no|No|NO
|true|True|TRUE|false|False|FALSE
|on|On|ON|off|Off|OFF)$''', re.X),
list(u'yYnNtTfFoO')),
([(1, 2), (1, 1)],
u'tag:yaml.org,2002:float',
re.compile(u'''^(?:
[-+]?(?:[0-9][0-9_]*)\\.[0-9_]*(?:[eE][-+]?[0-9]+)?
|[-+]?(?:[0-9][0-9_]*)(?:[eE][-+]?[0-9]+)
|\\.[0-9_]+(?:[eE][-+][0-9]+)?
|[-+]?[0-9][0-9_]*(?::[0-5]?[0-9])+\\.[0-9_]*
|[-+]?\\.(?:inf|Inf|INF)
|\\.(?:nan|NaN|NAN))$''', re.X),
list(u'-+0123456789.')),
([(1, 2)],
u'tag:yaml.org,2002:int',
re.compile(u'''^(?:[-+]?0b[0-1_]+
|[-+]?0o?[0-7_]+
|[-+]?(?:0|[1-9][0-9_]*)
|[-+]?0x[0-9a-fA-F_]+)$''', re.X),
list(u'-+0123456789')),
([(1, 1)],
u'tag:yaml.org,2002:int',
re.compile(u'''^(?:[-+]?0b[0-1_]+
|[-+]?0o?[0-7_]+
|[-+]?(?:0|[1-9][0-9_]*)
|[-+]?0x[0-9a-fA-F_]+
|[-+]?[1-9][0-9_]*(?::[0-5]?[0-9])+)$''', re.X),
list(u'-+0123456789')),
([(1, 2), (1, 1)],
u'tag:yaml.org,2002:merge',
re.compile(u'^(?:<<)$'),
[u'<']),
([(1, 2), (1, 1)],
u'tag:yaml.org,2002:null',
re.compile(u'''^(?: ~
|null|Null|NULL
| )$''', re.X),
[u'~', u'n', u'N', u'']),
([(1, 2), (1, 1)],
u'tag:yaml.org,2002:timestamp',
re.compile(u'''^(?:[0-9][0-9][0-9][0-9]-[0-9][0-9]-[0-9][0-9]
|[0-9][0-9][0-9][0-9] -[0-9][0-9]? -[0-9][0-9]?
(?:[Tt]|[ \\t]+)[0-9][0-9]?
:[0-9][0-9] :[0-9][0-9] (?:\\.[0-9]*)?
(?:[ \\t]*(?:Z|[-+][0-9][0-9]?(?::[0-9][0-9])?))?)$''', re.X),
list(u'0123456789')),
([(1, 2), (1, 1)],
u'tag:yaml.org,2002:value',
re.compile(u'^(?:=)$'),
[u'=']),
# The following resolver is only for documentation purposes. It cannot work
# because plain scalars cannot start with '!', '&', or '*'.
([(1, 2), (1, 1)],
u'tag:yaml.org,2002:yaml',
re.compile(u'^(?:!|&|\\*)$'),
list(u'!&*')),
]
class VersionedResolver(BaseResolver):
"""
contrary to the "normal" resolver, the smart resolver delays loading
the pattern matching rules. That way it can decide to load 1.1 rules
or the (default) 1.2 that no longer support octal without 0o, sexagesimals
and Yes/No/On/Off booleans.
"""
def __init__(self, version=None):
BaseResolver.__init__(self)
self._loader_version = self.get_loader_version(version)
self._version_implicit_resolver = {}
def add_version_implicit_resolver(self, version, tag, regexp, first):
if first is None:
first = [None]
impl_resolver = self._version_implicit_resolver.setdefault(version, {})
for ch in first:
impl_resolver.setdefault(ch, []).append((tag, regexp))
def get_loader_version(self, version):
if version is None or isinstance(version, tuple):
return version
if isinstance(version, list):
return tuple(version)
# assume string
return tuple(map(int, version.split(u'.')))
@property
def resolver(self):
"""
select the resolver based on the version we are parsing
"""
version = self.processing_version
if version not in self._version_implicit_resolver:
for x in implicit_resolvers:
if version in x[0]:
self.add_version_implicit_resolver(version, x[1], x[2], x[3])
return self._version_implicit_resolver[version]
def resolve(self, kind, value, implicit):
if kind is ScalarNode and implicit[0]:
if value == u'':
resolvers = self.resolver.get(u'', [])
else:
resolvers = self.resolver.get(value[0], [])
resolvers += self.resolver.get(None, [])
for tag, regexp in resolvers:
if regexp.match(value):
return tag
implicit = implicit[1]
if self.yaml_path_resolvers:
exact_paths = self.resolver_exact_paths[-1]
if kind in exact_paths:
return exact_paths[kind]
if None in exact_paths:
return exact_paths[None]
if kind is ScalarNode:
return self.DEFAULT_SCALAR_TAG
elif kind is SequenceNode:
return self.DEFAULT_SEQUENCE_TAG
elif kind is MappingNode:
return self.DEFAULT_MAPPING_TAG
@property
def processing_version(self):
try:
version = self.yaml_version
except AttributeError:
# dumping
version = self.use_version
if version is None:
version = self._loader_version
if version is None:
version = _DEFAULT_VERSION
return version
|
[
"[email protected]"
] | |
a56781d9e56b8944daecd740c91b397ccf679d04
|
62d3d2e963c3da6d15206ac807cc2190938f61d6
|
/mrcnn/utils.py
|
13ea2a150f6351ea6638b50f5cf1a9c1dbd70403
|
[] |
no_license
|
pykwok/Mask_RCNN-Nuclei
|
dfa8bc0956ad0ba17a8fb836f923177ee1385a94
|
aac1da5fad1fd2d484d6cbafa51c27d5b049a3e9
|
refs/heads/master
| 2023-04-04T13:43:43.747566 | 2021-04-21T07:51:09 | 2021-04-21T07:51:09 | 360,053,949 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 36,210 |
py
|
"""
Mask R-CNN
Common utility functions and classes.
Copyright (c) 2017 Matterport, Inc.
Licensed under the MIT License (see LICENSE for details)
Written by Waleed Abdulla
"""
import sys
import os
import logging
import math
import random
import numpy as np
import tensorflow as tf
import scipy
import skimage.color
import skimage.io
import skimage.transform
import urllib.request
import shutil
import warnings
from distutils.version import LooseVersion
# URL from which to download the latest COCO trained weights
COCO_MODEL_URL = "https://github.com/matterport/Mask_RCNN/releases/download/v2.0/mask_rcnn_coco.h5"
############################################################
# Bounding Boxes
############################################################
def extract_bboxes(mask):
"""Compute bounding boxes from masks.
mask: [height, width, num_instances]. Mask pixels are either 1 or 0.
Returns: bbox array [num_instances, (y1, x1, y2, x2)].
"""
boxes = np.zeros([mask.shape[-1], 4], dtype=np.int32)
for i in range(mask.shape[-1]):
m = mask[:, :, i]
# Bounding box.
horizontal_indicies = np.where(np.any(m, axis=0))[0]
vertical_indicies = np.where(np.any(m, axis=1))[0]
if horizontal_indicies.shape[0]:
x1, x2 = horizontal_indicies[[0, -1]]
y1, y2 = vertical_indicies[[0, -1]]
# x2 and y2 should not be part of the box. Increment by 1.
x2 += 1
y2 += 1
else:
# No mask for this instance. Might happen due to
# resizing or cropping. Set bbox to zeros
x1, x2, y1, y2 = 0, 0, 0, 0
boxes[i] = np.array([y1, x1, y2, x2])
return boxes.astype(np.int32)
def compute_iou(box, boxes, box_area, boxes_area):
"""Calculates IoU of the given box with the array of the given boxes.
box: 1D vector [y1, x1, y2, x2]
boxes: [boxes_count, (y1, x1, y2, x2)]
box_area: float. the area of 'box'
boxes_area: array of length boxes_count.
Note: the areas are passed in rather than calculated here for
efficiency. Calculate once in the caller to avoid duplicate work.
"""
# Calculate intersection areas
y1 = np.maximum(box[0], boxes[:, 0])
y2 = np.minimum(box[2], boxes[:, 2])
x1 = np.maximum(box[1], boxes[:, 1])
x2 = np.minimum(box[3], boxes[:, 3])
intersection = np.maximum(x2 - x1, 0) * np.maximum(y2 - y1, 0)
union = box_area + boxes_area[:] - intersection[:]
iou = intersection / union
return iou
def compute_overlaps(boxes1, boxes2):
"""Computes IoU overlaps between two sets of boxes.
boxes1, boxes2: [N, (y1, x1, y2, x2)].
For better performance, pass the largest set first and the smaller second.
"""
# Areas of anchors and GT boxes
area1 = (boxes1[:, 2] - boxes1[:, 0]) * (boxes1[:, 3] - boxes1[:, 1])
area2 = (boxes2[:, 2] - boxes2[:, 0]) * (boxes2[:, 3] - boxes2[:, 1])
# Compute overlaps to generate matrix [boxes1 count, boxes2 count]
# Each cell contains the IoU value.
overlaps = np.zeros((boxes1.shape[0], boxes2.shape[0]))
for i in range(overlaps.shape[1]):
box2 = boxes2[i]
overlaps[:, i] = compute_iou(box2, boxes1, area2[i], area1)
return overlaps
def compute_overlaps_masks(masks1, masks2):
"""Computes IoU overlaps between two sets of masks.
masks1, masks2: [Height, Width, instances]
"""
# If either set of masks is empty return empty result
if masks1.shape[-1] == 0 or masks2.shape[-1] == 0:
return np.zeros((masks1.shape[-1], masks2.shape[-1]))
# flatten masks and compute their areas
masks1 = np.reshape(masks1 > .5, (-1, masks1.shape[-1])).astype(np.float32)
masks2 = np.reshape(masks2 > .5, (-1, masks2.shape[-1])).astype(np.float32)
area1 = np.sum(masks1, axis=0)
area2 = np.sum(masks2, axis=0)
# intersections and union
intersections = np.dot(masks1.T, masks2)
union = area1[:, None] + area2[None, :] - intersections
overlaps = intersections / union
return overlaps
def non_max_suppression(boxes, scores, threshold):
"""Performs non-maximum suppression and returns indices of kept boxes.
boxes: [N, (y1, x1, y2, x2)]. Notice that (y2, x2) lays outside the box.
scores: 1-D array of box scores.
threshold: Float. IoU threshold to use for filtering.
"""
assert boxes.shape[0] > 0
if boxes.dtype.kind != "f":
boxes = boxes.astype(np.float32)
# Compute box areas
y1 = boxes[:, 0]
x1 = boxes[:, 1]
y2 = boxes[:, 2]
x2 = boxes[:, 3]
area = (y2 - y1) * (x2 - x1)
# Get indicies of boxes sorted by scores (highest first)
ixs = scores.argsort()[::-1]
pick = []
while len(ixs) > 0:
# Pick top box and add its index to the list
i = ixs[0]
pick.append(i)
# Compute IoU of the picked box with the rest
iou = compute_iou(boxes[i], boxes[ixs[1:]], area[i], area[ixs[1:]])
# Identify boxes with IoU over the threshold. This
# returns indices into ixs[1:], so add 1 to get
# indices into ixs.
remove_ixs = np.where(iou > threshold)[0] + 1
# Remove indices of the picked and overlapped boxes.
ixs = np.delete(ixs, remove_ixs)
ixs = np.delete(ixs, 0)
return np.array(pick, dtype=np.int32)
def apply_box_deltas(boxes, deltas):
"""Applies the given deltas to the given boxes.
boxes: [N, (y1, x1, y2, x2)]. Note that (y2, x2) is outside the box.
deltas: [N, (dy, dx, log(dh), log(dw))]
"""
boxes = boxes.astype(np.float32)
# Convert to y, x, h, w
height = boxes[:, 2] - boxes[:, 0]
width = boxes[:, 3] - boxes[:, 1]
center_y = boxes[:, 0] + 0.5 * height
center_x = boxes[:, 1] + 0.5 * width
# Apply deltas
center_y += deltas[:, 0] * height
center_x += deltas[:, 1] * width
height *= np.exp(deltas[:, 2])
width *= np.exp(deltas[:, 3])
# Convert back to y1, x1, y2, x2
y1 = center_y - 0.5 * height
x1 = center_x - 0.5 * width
y2 = y1 + height
x2 = x1 + width
return np.stack([y1, x1, y2, x2], axis=1)
def box_refinement_graph(box, gt_box):
"""Compute refinement needed to transform box to gt_box.
box and gt_box are [N, (y1, x1, y2, x2)]
"""
box = tf.cast(box, tf.float32)
gt_box = tf.cast(gt_box, tf.float32)
height = box[:, 2] - box[:, 0]
width = box[:, 3] - box[:, 1]
center_y = box[:, 0] + 0.5 * height
center_x = box[:, 1] + 0.5 * width
gt_height = gt_box[:, 2] - gt_box[:, 0]
gt_width = gt_box[:, 3] - gt_box[:, 1]
gt_center_y = gt_box[:, 0] + 0.5 * gt_height
gt_center_x = gt_box[:, 1] + 0.5 * gt_width
dy = (gt_center_y - center_y) / height
dx = (gt_center_x - center_x) / width
dh = tf.log(gt_height / height)
dw = tf.log(gt_width / width)
result = tf.stack([dy, dx, dh, dw], axis=1)
return result
def box_refinement(box, gt_box):
"""Compute refinement needed to transform box to gt_box.
box and gt_box are [N, (y1, x1, y2, x2)]. (y2, x2) is
assumed to be outside the box.
"""
box = box.astype(np.float32)
gt_box = gt_box.astype(np.float32)
height = box[:, 2] - box[:, 0]
width = box[:, 3] - box[:, 1]
center_y = box[:, 0] + 0.5 * height
center_x = box[:, 1] + 0.5 * width
gt_height = gt_box[:, 2] - gt_box[:, 0]
gt_width = gt_box[:, 3] - gt_box[:, 1]
gt_center_y = gt_box[:, 0] + 0.5 * gt_height
gt_center_x = gt_box[:, 1] + 0.5 * gt_width
dy = (gt_center_y - center_y) / height
dx = (gt_center_x - center_x) / width
dh = np.log(gt_height / height)
dw = np.log(gt_width / width)
return np.stack([dy, dx, dh, dw], axis=1)
############################################################
# Dataset
############################################################
class Dataset(object):
"""The base class for dataset classes.
To use it, create a new class that adds functions specific to the dataset
you want to use. For example:
class CatsAndDogsDataset(Dataset):
def load_cats_and_dogs(self):
...
def load_mask(self, image_id):
...
def image_reference(self, image_id):
...
See COCODataset and ShapesDataset as examples.
"""
def __init__(self, class_map=None):
self._image_ids = []
self.image_info = []
# Background is always the first class
self.class_info = [{"source": "", "id": 0, "name": "BG"}]
self.source_class_ids = {}
def add_class(self, source, class_id, class_name):
assert "." not in source, "Source name cannot contain a dot"
# Does the class exist already?
for info in self.class_info:
if info['source'] == source and info["id"] == class_id:
# source.class_id combination already available, skip
return
# Add the class
self.class_info.append({
"source": source,
"id": class_id,
"name": class_name,
})
def add_image(self, source, image_id, path, **kwargs):
image_info = {
"id": image_id,
"source": source,
"path": path,
}
image_info.update(kwargs)
self.image_info.append(image_info)
def image_reference(self, image_id):
"""Return a link to the image in its source Website or details about
the image that help looking it up or debugging it.
Override for your dataset, but pass to this function
if you encounter images not in your dataset.
"""
return ""
def prepare(self, class_map=None):
"""Prepares the Dataset class for use.
TODO: class map is not supported yet. When done, it should handle mapping
classes from different datasets to the same class ID.
"""
def clean_name(name):
"""Returns a shorter version of object names for cleaner display."""
return ",".join(name.split(",")[:1])
# Build (or rebuild) everything else from the info dicts.
self.num_classes = len(self.class_info)
self.class_ids = np.arange(self.num_classes)
self.class_names = [clean_name(c["name"]) for c in self.class_info]
self.num_images = len(self.image_info)
self._image_ids = np.arange(self.num_images)
# Mapping from source class and image IDs to internal IDs
self.class_from_source_map = {"{}.{}".format(info['source'], info['id']): id
for info, id in zip(self.class_info, self.class_ids)}
self.image_from_source_map = {"{}.{}".format(info['source'], info['id']): id
for info, id in zip(self.image_info, self.image_ids)}
# Map sources to class_ids they support
self.sources = list(set([i['source'] for i in self.class_info]))
self.source_class_ids = {}
# Loop over datasets
for source in self.sources:
self.source_class_ids[source] = []
# Find classes that belong to this dataset
for i, info in enumerate(self.class_info):
# Include BG class in all datasets
if i == 0 or source == info['source']:
self.source_class_ids[source].append(i)
def map_source_class_id(self, source_class_id):
"""Takes a source class ID and returns the int class ID assigned to it.
For example:
dataset.map_source_class_id("coco.12") -> 23
"""
return self.class_from_source_map[source_class_id]
def get_source_class_id(self, class_id, source):
"""Map an internal class ID to the corresponding class ID in the source dataset."""
info = self.class_info[class_id]
assert info['source'] == source
return info['id']
@property
def image_ids(self):
return self._image_ids
def source_image_link(self, image_id):
"""Returns the path or URL to the image.
Override this to return a URL to the image if it's available online for easy
debugging.
"""
return self.image_info[image_id]["path"]
def load_image(self, image_id):
"""Load the specified image and return a [H,W,3] Numpy array.
"""
# Load image
image = skimage.io.imread(self.image_info[image_id]['path'])
# If grayscale. Convert to RGB for consistency.
if image.ndim != 3:
image = skimage.color.gray2rgb(image)
# If has an alpha channel, remove it for consistency
if image.shape[-1] == 4:
image = image[..., :3]
return image
def load_mask(self, image_id):
"""Load instance masks for the given image.
Different datasets use different ways to store masks. Override this
method to load instance masks and return them in the form of am
array of binary masks of shape [height, width, instances].
Returns:
masks: A bool array of shape [height, width, instance count] with
a binary mask per instance.
class_ids: a 1D array of class IDs of the instance masks.
"""
# Override this function to load a mask from your dataset.
# Otherwise, it returns an empty mask.
logging.warning("You are using the default load_mask(), maybe you need to define your own one.")
mask = np.empty([0, 0, 0])
class_ids = np.empty([0], np.int32)
return mask, class_ids
def resize_image(image, min_dim=None, max_dim=None, min_scale=None, mode="square"):
"""Resizes an image keeping the aspect ratio unchanged.
min_dim: if provided, resizes the image such that it's smaller
dimension == min_dim
max_dim: if provided, ensures that the image longest side doesn't
exceed this value.
min_scale: if provided, ensure that the image is scaled up by at least
this percent even if min_dim doesn't require it.
mode: Resizing mode.
none: No resizing. Return the image unchanged.
square: Resize and pad with zeros to get a square image
of size [max_dim, max_dim].
pad64: Pads width and height with zeros to make them multiples of 64.
If min_dim or min_scale are provided, it scales the image up
before padding. max_dim is ignored in this mode.
The multiple of 64 is needed to ensure smooth scaling of feature
maps up and down the 6 levels of the FPN pyramid (2**6=64).
crop: Picks random crops from the image. First, scales the image based
on min_dim and min_scale, then picks a random crop of
size min_dim x min_dim. Can be used in training only.
max_dim is not used in this mode.
Returns:
image: the resized image
window: (y1, x1, y2, x2). If max_dim is provided, padding might
be inserted in the returned image. If so, this window is the
coordinates of the image part of the full image (excluding
the padding). The x2, y2 pixels are not included.
scale: The scale factor used to resize the image
padding: Padding added to the image [(top, bottom), (left, right), (0, 0)]
"""
# Keep track of image dtype and return results in the same dtype
image_dtype = image.dtype
# Default window (y1, x1, y2, x2) and default scale == 1.
h, w = image.shape[:2]
window = (0, 0, h, w)
scale = 1
padding = [(0, 0), (0, 0), (0, 0)]
crop = None
if mode == "none":
return image, window, scale, padding, crop
# Scale?
if min_dim:
# Scale up but not down
scale = max(1, min_dim / min(h, w))
if min_scale and scale < min_scale:
scale = min_scale
# Does it exceed max dim?
if max_dim and mode == "square":
image_max = max(h, w)
if round(image_max * scale) > max_dim:
scale = max_dim / image_max
# Resize image using bilinear interpolation
if scale != 1:
image = resize(image, (round(h * scale), round(w * scale)),
preserve_range=True)
# Need padding or cropping?
if mode == "square":
# Get new height and width
h, w = image.shape[:2]
top_pad = (max_dim - h) // 2
bottom_pad = max_dim - h - top_pad
left_pad = (max_dim - w) // 2
right_pad = max_dim - w - left_pad
padding = [(top_pad, bottom_pad), (left_pad, right_pad), (0, 0)]
image = np.pad(image, padding, mode='constant', constant_values=0)
window = (top_pad, left_pad, h + top_pad, w + left_pad)
elif mode == "pad64":
h, w = image.shape[:2]
# Both sides must be divisible by 64
assert min_dim % 64 == 0, "Minimum dimension must be a multiple of 64"
# Height
if h % 64 > 0:
max_h = h - (h % 64) + 64
top_pad = (max_h - h) // 2
bottom_pad = max_h - h - top_pad
else:
top_pad = bottom_pad = 0
# Width
if w % 64 > 0:
max_w = w - (w % 64) + 64
left_pad = (max_w - w) // 2
right_pad = max_w - w - left_pad
else:
left_pad = right_pad = 0
padding = [(top_pad, bottom_pad), (left_pad, right_pad), (0, 0)]
image = np.pad(image, padding, mode='constant', constant_values=0)
window = (top_pad, left_pad, h + top_pad, w + left_pad)
elif mode == "crop":
# Pick a random crop
h, w = image.shape[:2]
y = random.randint(0, (h - min_dim))
x = random.randint(0, (w - min_dim))
crop = (y, x, min_dim, min_dim)
image = image[y:y + min_dim, x:x + min_dim]
window = (0, 0, min_dim, min_dim)
else:
raise Exception("Mode {} not supported".format(mode))
return image.astype(image_dtype), window, scale, padding, crop
def resize_mask(mask, scale, padding, crop=None):
"""Resizes a mask using the given scale and padding.
Typically, you get the scale and padding from resize_image() to
ensure both, the image and the mask, are resized consistently.
scale: mask scaling factor
padding: Padding to add to the mask in the form
[(top, bottom), (left, right), (0, 0)]
"""
# Suppress warning from scipy 0.13.0, the output shape of zoom() is
# calculated with round() instead of int()
with warnings.catch_warnings():
warnings.simplefilter("ignore")
mask = scipy.ndimage.zoom(mask, zoom=[scale, scale, 1], order=0)
if crop is not None:
y, x, h, w = crop
mask = mask[y:y + h, x:x + w]
else:
mask = np.pad(mask, padding, mode='constant', constant_values=0)
return mask
def minimize_mask(bbox, mask, mini_shape):
"""Resize masks to a smaller version to reduce memory load.
Mini-masks can be resized back to image scale using expand_masks()
See inspect_data.ipynb notebook for more details.
"""
mini_mask = np.zeros(mini_shape + (mask.shape[-1],), dtype=bool)
for i in range(mask.shape[-1]):
# Pick slice and cast to bool in case load_mask() returned wrong dtype
m = mask[:, :, i].astype(bool)
y1, x1, y2, x2 = bbox[i][:4]
m = m[y1:y2, x1:x2]
if m.size == 0:
raise Exception("Invalid bounding box with area of zero")
# Resize with bilinear interpolation
m = resize(m, mini_shape)
mini_mask[:, :, i] = np.around(m).astype(np.bool)
return mini_mask
def expand_mask(bbox, mini_mask, image_shape):
"""Resizes mini masks back to image size. Reverses the change
of minimize_mask().
See inspect_data.ipynb notebook for more details.
"""
mask = np.zeros(image_shape[:2] + (mini_mask.shape[-1],), dtype=bool)
for i in range(mask.shape[-1]):
m = mini_mask[:, :, i]
y1, x1, y2, x2 = bbox[i][:4]
h = y2 - y1
w = x2 - x1
# Resize with bilinear interpolation
m = resize(m, (h, w))
mask[y1:y2, x1:x2, i] = np.around(m).astype(np.bool)
return mask
# TODO: Build and use this function to reduce code duplication
def mold_mask(mask, config):
pass
def unmold_mask(mask, bbox, image_shape):
"""Converts a mask generated by the neural network to a format similar
to its original shape.
mask: [height, width] of type float. A small, typically 28x28 mask.
bbox: [y1, x1, y2, x2]. The box to fit the mask in.
Returns a binary mask with the same size as the original image.
"""
threshold = 0.5
y1, x1, y2, x2 = bbox
mask = resize(mask, (y2 - y1, x2 - x1))
mask = np.where(mask >= threshold, 1, 0).astype(np.bool)
# Put the mask in the right location.
full_mask = np.zeros(image_shape[:2], dtype=np.bool)
full_mask[y1:y2, x1:x2] = mask
return full_mask
############################################################
# Anchors
############################################################
def generate_anchors(scales, ratios, shape, feature_stride, anchor_stride):
"""
scales: 锚框尺寸(面积)，举例：(32, 64, 128, 256, 512)
1D array of anchor sizes in pixels. Example: [32, 64, 128]
ratios: 锚框长宽比，举例： (0.5,1,2)
1D array of anchor ratios of width/height. Example: [0.5, 1, 2]
shape: 特征图尺寸，举例： [(256,256),(128,128),(64,64),(32,32),(16,16)]
[height, width] spatial shape of the feature map over which
to generate anchors.大特征图尺寸对应小锚框面积，可以更便于检测小目标物体
feature_stride: 特征层相对原图的下采样倍率(下采样倍率也可以理解为该特征层生成的锚框中心点在原图中的间隔)
举例：feature_strides = (4,8,16,32,64)
Stride of the feature map relative to the image in pixels.
anchor_stride: 锚框滑动步长(滑动步长可控制锚框生成数量，若anchor_stride=2，则会间隔1个像素点生成锚框)
Stride of anchors on the feature map. For example, if the
value is 2 then generate anchors for every other feature map pixel.
"""
# Get all combinations of scales and ratios
# 根据scales和ratios生成2D的网格
scales, ratios = np.meshgrid(np.array(scales), np.array(ratios))
scales = scales.flatten()
ratios = ratios.flatten()
# Enumerate heights and widths from scales and ratios
# 计算不同ratio锚框的高度和宽度
heights = scales / np.sqrt(ratios)
widths = scales * np.sqrt(ratios)
# Enumerate shifts in feature space
# 特征层像素点采样，映射回原始图像，得到每个锚框的中心点坐标，(256,256)
shifts_y = np.arange(0, shape[0], anchor_stride) * feature_stride
shifts_x = np.arange(0, shape[1], anchor_stride) * feature_stride
shifts_x, shifts_y = np.meshgrid(shifts_x, shifts_y)
# Enumerate combinations of shifts, widths, and heights
# 根据宽度和锚框x方向的中心，得到宽度和x方向中心的对应矩阵，（256×256,3）
box_widths, box_centers_x = np.meshgrid(widths, shifts_x)
box_heights, box_centers_y = np.meshgrid(heights, shifts_y)
# Reshape to get a list of (y, x) and a list of (h, w)
# 沿着新轴axis=2堆叠矩阵，此时（256×256,3,2），再reshape为（256×256×3,2），
# 每行为一个锚框的中心点坐标和高度/宽度尺寸
box_centers = np.stack(
[box_centers_y, box_centers_x], axis=2).reshape([-1, 2])
box_sizes = np.stack([box_heights, box_widths], axis=2).reshape([-1, 2])
# Convert to corner coordinates (y1, x1, y2, x2)
# 沿着轴axis=1(列方向)拼接中心点和尺寸，得到(256*256*3,4)
boxes = np.concatenate([box_centers - 0.5 * box_sizes,
box_centers + 0.5 * box_sizes], axis=1)
return boxes
def generate_pyramid_anchors(scales, ratios, feature_shapes, feature_strides,
anchor_stride):
"""Generate anchors at different levels of a feature pyramid. Each scale
is associated with a level of the pyramid, but each ratio is used in
all levels of the pyramid.
在不同特征层中锚框的尺寸是不同的，但是3种长宽比都是通用的。
Returns:
anchors: [N, (y1, x1, y2, x2)]. All generated anchors in one array. Sorted
with the same order of the given scales. So, anchors of scale[0] come
first, then anchors of scale[1], and so on.
"""
# Anchors
#[anchor_count, (y1, x1, y2, x2)]
# anchor[i]各元素的shape如下：
#(128*128*3, 4),(64*64*3, 4),(32*32*3, 4),(16*16*3, 4),(8*8*3, 4)
anchors = []
for i in range(len(scales)):
anchors.append(generate_anchors(scales[i], ratios, feature_shapes[i],
feature_strides[i], anchor_stride))
return np.concatenate(anchors, axis=0)
############################################################
# Miscellaneous
############################################################
def trim_zeros(x):
"""It's common to have tensors larger than the available data and
pad with zeros. This function removes rows that are all zeros.
x: [rows, columns].
"""
assert len(x.shape) == 2
return x[~np.all(x == 0, axis=1)]
def compute_matches(gt_boxes, gt_class_ids, gt_masks,
pred_boxes, pred_class_ids, pred_scores, pred_masks,
iou_threshold=0.5, score_threshold=0.0):
"""Finds matches between prediction and ground truth instances.
Returns:
gt_match: 1-D array. For each GT box it has the index of the matched
predicted box.
pred_match: 1-D array. For each predicted box, it has the index of
the matched ground truth box.
overlaps: [pred_boxes, gt_boxes] IoU overlaps.
"""
# Trim zero padding
# TODO: cleaner to do zero unpadding upstream
gt_boxes = trim_zeros(gt_boxes)
gt_masks = gt_masks[..., :gt_boxes.shape[0]]
pred_boxes = trim_zeros(pred_boxes)
pred_scores = pred_scores[:pred_boxes.shape[0]]
# Sort predictions by score from high to low
indices = np.argsort(pred_scores)[::-1]
pred_boxes = pred_boxes[indices]
pred_class_ids = pred_class_ids[indices]
pred_scores = pred_scores[indices]
pred_masks = pred_masks[..., indices]
# Compute IoU overlaps [pred_masks, gt_masks]
overlaps = compute_overlaps_masks(pred_masks, gt_masks)
# Loop through predictions and find matching ground truth boxes
match_count = 0
pred_match = -1 * np.ones([pred_boxes.shape[0]])
gt_match = -1 * np.ones([gt_boxes.shape[0]])
for i in range(len(pred_boxes)):
# Find best matching ground truth box
# 1. Sort matches by score
sorted_ixs = np.argsort(overlaps[i])[::-1]
# 2. Remove low scores
low_score_idx = np.where(overlaps[i, sorted_ixs] < score_threshold)[0]
if low_score_idx.size > 0:
sorted_ixs = sorted_ixs[:low_score_idx[0]]
# 3. Find the match
for j in sorted_ixs:
# If ground truth box is already matched, go to next one
if gt_match[j] > -1:
continue
# If we reach IoU smaller than the threshold, end the loop
iou = overlaps[i, j]
if iou < iou_threshold:
break
# Do we have a match?
if pred_class_ids[i] == gt_class_ids[j]:
match_count += 1
gt_match[j] = i
pred_match[i] = j
break
return gt_match, pred_match, overlaps
def compute_ap(gt_boxes, gt_class_ids, gt_masks,
pred_boxes, pred_class_ids, pred_scores, pred_masks,
iou_threshold=0.5):
"""Compute Average Precision at a set IoU threshold (default 0.5).
Returns:
mAP: Mean Average Precision
precisions: List of precisions at different class score thresholds.
recalls: List of recall values at different class score thresholds.
overlaps: [pred_boxes, gt_boxes] IoU overlaps.
"""
# Get matches and overlaps
gt_match, pred_match, overlaps = compute_matches(
gt_boxes, gt_class_ids, gt_masks,
pred_boxes, pred_class_ids, pred_scores, pred_masks,
iou_threshold)
# Compute precision and recall at each prediction box step
precisions = np.cumsum(pred_match > -1) / (np.arange(len(pred_match)) + 1)
recalls = np.cumsum(pred_match > -1).astype(np.float32) / len(gt_match)
# Pad with start and end values to simplify the math
precisions = np.concatenate([[0], precisions, [0]])
recalls = np.concatenate([[0], recalls, [1]])
# Ensure precision values decrease but don't increase. This way, the
# precision value at each recall threshold is the maximum it can be
# for all following recall thresholds, as specified by the VOC paper.
for i in range(len(precisions) - 2, -1, -1):
precisions[i] = np.maximum(precisions[i], precisions[i + 1])
# Compute mean AP over recall range
indices = np.where(recalls[:-1] != recalls[1:])[0] + 1
mAP = np.sum((recalls[indices] - recalls[indices - 1]) *
precisions[indices])
return mAP, precisions, recalls, overlaps
def compute_ap_range(gt_box, gt_class_id, gt_mask,
pred_box, pred_class_id, pred_score, pred_mask,
iou_thresholds=None, verbose=1):
"""Compute AP over a range or IoU thresholds. Default range is 0.5-0.95."""
# Default is 0.5 to 0.95 with increments of 0.05
iou_thresholds = iou_thresholds or np.arange(0.5, 1.0, 0.05)
# Compute AP over range of IoU thresholds
AP = []
for iou_threshold in iou_thresholds:
ap, precisions, recalls, overlaps =\
compute_ap(gt_box, gt_class_id, gt_mask,
pred_box, pred_class_id, pred_score, pred_mask,
iou_threshold=iou_threshold)
if verbose:
print("AP @{:.2f}:\t {:.3f}".format(iou_threshold, ap))
AP.append(ap)
AP = np.array(AP).mean()
if verbose:
print("AP @{:.2f}-{:.2f}:\t {:.3f}".format(
iou_thresholds[0], iou_thresholds[-1], AP))
return AP
def compute_recall(pred_boxes, gt_boxes, iou):
"""Compute the recall at the given IoU threshold. It's an indication
of how many GT boxes were found by the given prediction boxes.
pred_boxes: [N, (y1, x1, y2, x2)] in image coordinates
gt_boxes: [N, (y1, x1, y2, x2)] in image coordinates
"""
# Measure overlaps
overlaps = compute_overlaps(pred_boxes, gt_boxes)
iou_max = np.max(overlaps, axis=1)
iou_argmax = np.argmax(overlaps, axis=1)
positive_ids = np.where(iou_max >= iou)[0]
matched_gt_boxes = iou_argmax[positive_ids]
recall = len(set(matched_gt_boxes)) / gt_boxes.shape[0]
return recall, positive_ids
# ## Batch Slicing
# Some custom layers support a batch size of 1 only, and require a lot of work
# to support batches greater than 1. This function slices an input tensor
# across the batch dimension and feeds batches of size 1. Effectively,
# an easy way to support batches > 1 quickly with little code modification.
# In the long run, it's more efficient to modify the code to support large
# batches and getting rid of this function. Consider this a temporary solution
def batch_slice(inputs, graph_fn, batch_size, names=None):
"""Splits inputs into slices and feeds each slice to a copy of the given
computation graph and then combines the results. It allows you to run a
graph on a batch of inputs even if the graph is written to support one
instance only.
inputs: list of tensors. All must have the same first dimension length
graph_fn: A function that returns a TF tensor that's part of a graph.
batch_size: number of slices to divide the data into.
names: If provided, assigns names to the resulting tensors.
"""
if not isinstance(inputs, list):
inputs = [inputs]
outputs = []
# 此处针对batch轴，逐个处理，以batch=3为例说明，[3,261888,4]
for i in range(batch_size):
# 抽出batch[i],inputs_slice为[261888.4]
inputs_slice = [x[i] for x in inputs]
# output_slice为[6000,4]
output_slice = graph_fn(*inputs_slice)
if not isinstance(output_slice, (tuple, list)):
output_slice = [output_slice]
outputs.append(output_slice)
# Change outputs from a list of slices where each is
# a list of outputs to a list of outputs and each has
# a list of slices
# output内结构为[[b0],[b1],[b2]]，每个元素的shape都为[6000,4]
# zip解压后output结构为[(b0,b1,b2)]
outputs = list(zip(*outputs))
if names is None:
names = [None] * len(outputs)
# tf.stack沿着新轴堆叠数据,axis=0时意味着会增加一个newaxis=0
# zip打包时，o=(b0,b1,b2)，并且沿着axis=0进行stack堆叠，还原为原始的inputs.shape
# result结构为tf.Tensor->[b1,b2,b3],shape为[3,6000,4]
result = [tf.stack(o, axis=0, name=n)
for o, n in zip(outputs, names)]
if len(result) == 1:
result = result[0]
return result
def download_trained_weights(coco_model_path, verbose=1):
"""Download COCO trained weights from Releases.
coco_model_path: local path of COCO trained weights
"""
if verbose > 0:
print("Downloading pretrained model to " + coco_model_path + " ...")
with urllib.request.urlopen(COCO_MODEL_URL) as resp, open(coco_model_path, 'wb') as out:
shutil.copyfileobj(resp, out)
if verbose > 0:
print("... done downloading pretrained model!")
def norm_boxes(boxes, shape):
"""Converts boxes from pixel coordinates to normalized coordinates.
boxes: [N, (y1, x1, y2, x2)] in pixel coordinates
shape: [..., (height, width)] in pixels
Note: In pixel coordinates (y2, x2) is outside the box. But in normalized
coordinates it's inside the box.
Returns:
[N, (y1, x1, y2, x2)] in normalized coordinates
"""
h, w = shape
scale = np.array([h - 1, w - 1, h - 1, w - 1])
shift = np.array([0, 0, 1, 1])
return np.divide((boxes - shift), scale).astype(np.float32)
def denorm_boxes(boxes, shape):
"""Converts boxes from normalized coordinates to pixel coordinates.
boxes: [N, (y1, x1, y2, x2)] in normalized coordinates
shape: [..., (height, width)] in pixels
Note: In pixel coordinates (y2, x2) is outside the box. But in normalized
coordinates it's inside the box.
Returns:
[N, (y1, x1, y2, x2)] in pixel coordinates
"""
h, w = shape
scale = np.array([h - 1, w - 1, h - 1, w - 1])
shift = np.array([0, 0, 1, 1])
return np.around(np.multiply(boxes, scale) + shift).astype(np.int32)
def resize(image, output_shape, order=1, mode='constant', cval=0, clip=True,
preserve_range=False, anti_aliasing=False, anti_aliasing_sigma=None):
"""A wrapper for Scikit-Image resize().
Scikit-Image generates warnings on every call to resize() if it doesn't
receive the right parameters. The right parameters depend on the version
of skimage. This solves the problem by using different parameters per
version. And it provides a central place to control resizing defaults.
"""
if LooseVersion(skimage.__version__) >= LooseVersion("0.14"):
# New in 0.14: anti_aliasing. Default it to False for backward
# compatibility with skimage 0.13.
return skimage.transform.resize(
image, output_shape,
order=order, mode=mode, cval=cval, clip=clip,
preserve_range=preserve_range, anti_aliasing=anti_aliasing,
anti_aliasing_sigma=anti_aliasing_sigma)
else:
return skimage.transform.resize(
image, output_shape,
order=order, mode=mode, cval=cval, clip=clip,
preserve_range=preserve_range)
|
[
"[email protected]"
] | |
0f0b067eadadf6cff18f712f55ed2b7ec00786ef
|
63c0956de38186a496c8a541a17335bc974fc843
|
/venv/bin/wheel
|
a68a9bb6376bfebea998b887b4e2fbb2c6991ba9
|
[] |
no_license
|
cslovexhy/Tetris
|
9c043209d0a164c6dfa14c26c523b69938fb7718
|
772df27779a109076e416913088765db20333ba1
|
refs/heads/master
| 2021-04-28T20:57:42.128153 | 2018-02-18T10:08:21 | 2018-02-18T10:08:21 | 121,940,151 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 250 |
#!/Users/huayuxu/PycharmProjects/Tetris/venv/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from wheel.tool import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(main())
|
[
"[email protected]"
] | ||
2fab698a835f6624b452851681c6fd6b63874538
|
11959bb8d2c1d07b67fbc9da27b25f0434dc5393
|
/src/data/spiders/pinkbike/pinkbike/spiders/spider.py
|
8dd43531f7179eceee80b02fb09cc626ea6d81bd
|
[] |
no_license
|
louweal/wordgame
|
758cb24f4986266c6e323111c6dedffded3d63df
|
2d03b46ff5c985d8e28c421c3558a5dfe57cc452
|
refs/heads/master
| 2021-06-04T05:56:28.945210 | 2020-04-20T14:18:56 | 2020-04-20T14:18:56 | 93,235,514 | 3 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 862 |
py
|
import scrapy
from scrapy.conf import settings
class WordsSpider(scrapy.Spider):
name = "pinkbike"
custom_settings = {
'DOWNLOAD_DELAY': 2,
'CONCURRENT_REQUESTS_PER_DOMAIN': 1,
'ROBOTSTXT_OBEY': False
}
def start_requests(self):
urls = []
for i in range(1, 2748): #2747
urls.append('https://www.pinkbike.com/forum/listcomments/?threadid=107062&pagenum='+str(i))
for url in urls:
yield scrapy.Request(url=url, callback=self.parse)
def parse(self, response):
for item in response.xpath('//div[contains(@id,"commentid")]'):
word = item.xpath('normalize-space(table/tr/td[@class="forum-message"]/table/tr/td[@class="padding10"]/text())').extract()
author = item.xpath('normalize-space(table/tr/td/div[contains(@class,"forum-author2")]/div/a/text())').extract_first()
yield {
'word': word,
'author': author
}
|
[
"[email protected]"
] | |
0d8f674c48e3adb385b7c926884753ba8996a6ae
|
faa5ec6d832db22ebac4e0ecb109977b3aa9efa2
|
/myapp/api/serializers.py
|
23a91d91805db05994b03c837039fcbefecde7dd
|
[] |
no_license
|
hulk-baba/documentSE
|
81f240553309b2cfd8537a9d5587606125ce0d01
|
944748d27bfc6d5e91e01063c1e38b4aa1553776
|
refs/heads/master
| 2021-01-23T06:15:19.082453 | 2018-02-13T02:11:24 | 2018-02-13T02:11:24 | 86,347,922 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 209 |
py
|
from myapps.models import Documents
from rest_framework import serializers
class DocumentSerializers(serializers.HyperlinkedModelSerializer):
class Meta:
model = Documents
fields = ('Document','keyword')
|
[
"[email protected]"
] | |
9b4d79f7d378c8eb47d4f656f32305c8efc4ff83
|
a2d36e471988e0fae32e9a9d559204ebb065ab7f
|
/huaweicloud-sdk-ocr/huaweicloudsdkocr/v1/model/passport_result.py
|
7d18f30f08e2ae7da04b81723bcf468ba27a7646
|
[
"Apache-2.0"
] |
permissive
|
zhouxy666/huaweicloud-sdk-python-v3
|
4d878a90b8e003875fc803a61414788e5e4c2c34
|
cc6f10a53205be4cb111d3ecfef8135ea804fa15
|
refs/heads/master
| 2023-09-02T07:41:12.605394 | 2021-11-12T03:20:11 | 2021-11-12T03:20:11 | null | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 14,941 |
py
|
# coding: utf-8
import re
import six
from huaweicloudsdkcore.utils.http_utils import sanitize_for_serialization
class PassportResult:
"""
Attributes:
openapi_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute name
and the value is json key in definition.
"""
sensitive_list = []
openapi_types = {
'passport_type': 'str',
'country_code': 'str',
'passport_number': 'str',
'nationality': 'str',
'surname': 'str',
'given_name': 'str',
'sex': 'str',
'date_of_birth': 'str',
'date_of_expiry': 'str',
'date_of_issue': 'str',
'place_of_birth': 'str',
'place_of_issue': 'str',
'issuing_authority': 'str',
'confidence': 'object',
'extra_info': 'object'
}
attribute_map = {
'passport_type': 'passport_type',
'country_code': 'country_code',
'passport_number': 'passport_number',
'nationality': 'nationality',
'surname': 'surname',
'given_name': 'given_name',
'sex': 'sex',
'date_of_birth': 'date_of_birth',
'date_of_expiry': 'date_of_expiry',
'date_of_issue': 'date_of_issue',
'place_of_birth': 'place_of_birth',
'place_of_issue': 'place_of_issue',
'issuing_authority': 'issuing_authority',
'confidence': 'confidence',
'extra_info': 'extra_info'
}
def __init__(self, passport_type=None, country_code=None, passport_number=None, nationality=None, surname=None, given_name=None, sex=None, date_of_birth=None, date_of_expiry=None, date_of_issue=None, place_of_birth=None, place_of_issue=None, issuing_authority=None, confidence=None, extra_info=None):
"""PassportResult - a model defined in huaweicloud sdk"""
self._passport_type = None
self._country_code = None
self._passport_number = None
self._nationality = None
self._surname = None
self._given_name = None
self._sex = None
self._date_of_birth = None
self._date_of_expiry = None
self._date_of_issue = None
self._place_of_birth = None
self._place_of_issue = None
self._issuing_authority = None
self._confidence = None
self._extra_info = None
self.discriminator = None
if passport_type is not None:
self.passport_type = passport_type
if country_code is not None:
self.country_code = country_code
if passport_number is not None:
self.passport_number = passport_number
if nationality is not None:
self.nationality = nationality
if surname is not None:
self.surname = surname
if given_name is not None:
self.given_name = given_name
if sex is not None:
self.sex = sex
if date_of_birth is not None:
self.date_of_birth = date_of_birth
if date_of_expiry is not None:
self.date_of_expiry = date_of_expiry
if date_of_issue is not None:
self.date_of_issue = date_of_issue
if place_of_birth is not None:
self.place_of_birth = place_of_birth
if place_of_issue is not None:
self.place_of_issue = place_of_issue
if issuing_authority is not None:
self.issuing_authority = issuing_authority
if confidence is not None:
self.confidence = confidence
if extra_info is not None:
self.extra_info = extra_info
@property
def passport_type(self):
"""Gets the passport_type of this PassportResult.
护照类型（P:普通因私护照、W:外交护照、G:公务护照）（英文）。
:return: The passport_type of this PassportResult.
:rtype: str
"""
return self._passport_type
@passport_type.setter
def passport_type(self, passport_type):
"""Sets the passport_type of this PassportResult.
护照类型（P:普通因私护照、W:外交护照、G:公务护照）（英文）。
:param passport_type: The passport_type of this PassportResult.
:type: str
"""
self._passport_type = passport_type
@property
def country_code(self):
"""Gets the country_code of this PassportResult.
护照签发国的国家码（英文）。
:return: The country_code of this PassportResult.
:rtype: str
"""
return self._country_code
@country_code.setter
def country_code(self, country_code):
"""Sets the country_code of this PassportResult.
护照签发国的国家码（英文）。
:param country_code: The country_code of this PassportResult.
:type: str
"""
self._country_code = country_code
@property
def passport_number(self):
"""Gets the passport_number of this PassportResult.
护照号码（英文）。
:return: The passport_number of this PassportResult.
:rtype: str
"""
return self._passport_number
@passport_number.setter
def passport_number(self, passport_number):
"""Sets the passport_number of this PassportResult.
护照号码（英文）。
:param passport_number: The passport_number of this PassportResult.
:type: str
"""
self._passport_number = passport_number
@property
def nationality(self):
"""Gets the nationality of this PassportResult.
护照持有人国籍（英文）。
:return: The nationality of this PassportResult.
:rtype: str
"""
return self._nationality
@nationality.setter
def nationality(self, nationality):
"""Sets the nationality of this PassportResult.
护照持有人国籍（英文）。
:param nationality: The nationality of this PassportResult.
:type: str
"""
self._nationality = nationality
@property
def surname(self):
"""Gets the surname of this PassportResult.
姓（英文）。
:return: The surname of this PassportResult.
:rtype: str
"""
return self._surname
@surname.setter
def surname(self, surname):
"""Sets the surname of this PassportResult.
姓（英文）。
:param surname: The surname of this PassportResult.
:type: str
"""
self._surname = surname
@property
def given_name(self):
"""Gets the given_name of this PassportResult.
名字（英文）。
:return: The given_name of this PassportResult.
:rtype: str
"""
return self._given_name
@given_name.setter
def given_name(self, given_name):
"""Sets the given_name of this PassportResult.
名字（英文）。
:param given_name: The given_name of this PassportResult.
:type: str
"""
self._given_name = given_name
@property
def sex(self):
"""Gets the sex of this PassportResult.
性别（英文）。
:return: The sex of this PassportResult.
:rtype: str
"""
return self._sex
@sex.setter
def sex(self, sex):
"""Sets the sex of this PassportResult.
性别（英文）。
:param sex: The sex of this PassportResult.
:type: str
"""
self._sex = sex
@property
def date_of_birth(self):
"""Gets the date_of_birth of this PassportResult.
出生日期（英文）。
:return: The date_of_birth of this PassportResult.
:rtype: str
"""
return self._date_of_birth
@date_of_birth.setter
def date_of_birth(self, date_of_birth):
"""Sets the date_of_birth of this PassportResult.
出生日期（英文）。
:param date_of_birth: The date_of_birth of this PassportResult.
:type: str
"""
self._date_of_birth = date_of_birth
@property
def date_of_expiry(self):
"""Gets the date_of_expiry of this PassportResult.
护照有效期（英文）。
:return: The date_of_expiry of this PassportResult.
:rtype: str
"""
return self._date_of_expiry
@date_of_expiry.setter
def date_of_expiry(self, date_of_expiry):
"""Sets the date_of_expiry of this PassportResult.
护照有效期（英文）。
:param date_of_expiry: The date_of_expiry of this PassportResult.
:type: str
"""
self._date_of_expiry = date_of_expiry
@property
def date_of_issue(self):
"""Gets the date_of_issue of this PassportResult.
护照签发日期（英文）。
:return: The date_of_issue of this PassportResult.
:rtype: str
"""
return self._date_of_issue
@date_of_issue.setter
def date_of_issue(self, date_of_issue):
"""Sets the date_of_issue of this PassportResult.
护照签发日期（英文）。
:param date_of_issue: The date_of_issue of this PassportResult.
:type: str
"""
self._date_of_issue = date_of_issue
@property
def place_of_birth(self):
"""Gets the place_of_birth of this PassportResult.
出生地（英文）。
:return: The place_of_birth of this PassportResult.
:rtype: str
"""
return self._place_of_birth
@place_of_birth.setter
def place_of_birth(self, place_of_birth):
"""Sets the place_of_birth of this PassportResult.
出生地（英文）。
:param place_of_birth: The place_of_birth of this PassportResult.
:type: str
"""
self._place_of_birth = place_of_birth
@property
def place_of_issue(self):
"""Gets the place_of_issue of this PassportResult.
签发地（英文）。
:return: The place_of_issue of this PassportResult.
:rtype: str
"""
return self._place_of_issue
@place_of_issue.setter
def place_of_issue(self, place_of_issue):
"""Sets the place_of_issue of this PassportResult.
签发地（英文）。
:param place_of_issue: The place_of_issue of this PassportResult.
:type: str
"""
self._place_of_issue = place_of_issue
@property
def issuing_authority(self):
"""Gets the issuing_authority of this PassportResult.
签发机构（英文），其中对中国的英文简写统一输出为P.R.China。
:return: The issuing_authority of this PassportResult.
:rtype: str
"""
return self._issuing_authority
@issuing_authority.setter
def issuing_authority(self, issuing_authority):
"""Sets the issuing_authority of this PassportResult.
签发机构（英文），其中对中国的英文简写统一输出为P.R.China。
:param issuing_authority: The issuing_authority of this PassportResult.
:type: str
"""
self._issuing_authority = issuing_authority
@property
def confidence(self):
"""Gets the confidence of this PassportResult.
相关字段的置信度信息，置信度越大，表示本次识别的对应字段的可靠性越高，在统计意义上，置信度越大，准确率越高。 置信度由算法给出，不直接等价于对应字段的准确率。
:return: The confidence of this PassportResult.
:rtype: object
"""
return self._confidence
@confidence.setter
def confidence(self, confidence):
"""Sets the confidence of this PassportResult.
相关字段的置信度信息，置信度越大，表示本次识别的对应字段的可靠性越高，在统计意义上，置信度越大，准确率越高。 置信度由算法给出，不直接等价于对应字段的准确率。
:param confidence: The confidence of this PassportResult.
:type: object
"""
self._confidence = confidence
@property
def extra_info(self):
"""Gets the extra_info of this PassportResult.
默认为空。对于部分常见国家的护照OCR服务，extra_info内会包含护照上由本地官方语言描述的字段信息及其他信息。 如中国护照，里面会包含汉字表达的姓名、出生地等信息。
:return: The extra_info of this PassportResult.
:rtype: object
"""
return self._extra_info
@extra_info.setter
def extra_info(self, extra_info):
"""Sets the extra_info of this PassportResult.
默认为空。对于部分常见国家的护照OCR服务，extra_info内会包含护照上由本地官方语言描述的字段信息及其他信息。 如中国护照，里面会包含汉字表达的姓名、出生地等信息。
:param extra_info: The extra_info of this PassportResult.
:type: object
"""
self._extra_info = extra_info
def to_dict(self):
"""Returns the model properties as a dict"""
result = {}
for attr, _ in six.iteritems(self.openapi_types):
value = getattr(self, attr)
if isinstance(value, list):
result[attr] = list(map(
lambda x: x.to_dict() if hasattr(x, "to_dict") else x,
value
))
elif hasattr(value, "to_dict"):
result[attr] = value.to_dict()
elif isinstance(value, dict):
result[attr] = dict(map(
lambda item: (item[0], item[1].to_dict())
if hasattr(item[1], "to_dict") else item,
value.items()
))
else:
if attr in self.sensitive_list:
result[attr] = "****"
else:
result[attr] = value
return result
def to_str(self):
"""Returns the string representation of the model"""
import simplejson as json
if six.PY2:
import sys
reload(sys)
sys.setdefaultencoding("utf-8")
return json.dumps(sanitize_for_serialization(self), ensure_ascii=False)
def __repr__(self):
"""For `print`"""
return self.to_str()
def __eq__(self, other):
"""Returns true if both objects are equal"""
if not isinstance(other, PassportResult):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""Returns true if both objects are not equal"""
return not self == other
|
[
"[email protected]"
] | |
3495f596b1c1d7cb79884261ce080ad49e5967d2
|
ac8eee756bbdc69c688a4f748cca625d5f064b9a
|
/spam_api/spam_api/wsgi.py
|
a6c1060edd85cf22ad0d71827a7db8f47cfc477e
|
[] |
no_license
|
matiaschaud/TP-ProgramacionAvanzada
|
a15bdd7be5a2b1f4fbd29d4acabc8980072713ef
|
6e162f31ad91abde688229eb4f6aeb6ef60ebbee
|
refs/heads/main
| 2023-03-18T00:39:22.515287 | 2021-03-01T23:52:15 | 2021-03-01T23:52:15 | 316,798,024 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 393 |
py
|
"""
WSGI config for spam_api project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/3.1/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'spam_api.settings')
application = get_wsgi_application()
|
[
"[email protected]"
] | |
00525edd9f91bf0763fa8d35db247a55724a0f90
|
ad13583673551857615498b9605d9dcab63bb2c3
|
/output/models/nist_data/atomic/duration/schema_instance/nistschema_sv_iv_atomic_duration_enumeration_2_xsd/__init__.py
|
aa2a5364c28c8263b4cba85ac2516304e22deade
|
[
"MIT"
] |
permissive
|
tefra/xsdata-w3c-tests
|
397180205a735b06170aa188f1f39451d2089815
|
081d0908382a0e0b29c8ee9caca6f1c0e36dd6db
|
refs/heads/main
| 2023-08-03T04:25:37.841917 | 2023-07-29T17:10:13 | 2023-07-30T12:11:13 | 239,622,251 | 2 | 0 |
MIT
| 2023-07-25T14:19:04 | 2020-02-10T21:59:47 |
Python
|
UTF-8
|
Python
| false | false | 381 |
py
|
from output.models.nist_data.atomic.duration.schema_instance.nistschema_sv_iv_atomic_duration_enumeration_2_xsd.nistschema_sv_iv_atomic_duration_enumeration_2 import (
NistschemaSvIvAtomicDurationEnumeration2,
NistschemaSvIvAtomicDurationEnumeration2Type,
)
__all__ = [
"NistschemaSvIvAtomicDurationEnumeration2",
"NistschemaSvIvAtomicDurationEnumeration2Type",
]
|
[
"[email protected]"
] | |
514a299a64c3bb30347bba5a25c3b98d681ecc46
|
313c9f5891993971c7104937caece9504c2b3007
|
/playground/env/bin/pip3.6
|
719376daf30ac55b4afcef14072baf8f565874c4
|
[] |
no_license
|
lolegoogle1015/get_in_python
|
0dc51214ef320dfbb74a1c105baae176525cb66f
|
b3da667ab8252ebbe3d04c63320ac5fff04b80ed
|
refs/heads/master
| 2022-12-22T09:19:30.518602 | 2020-11-26T17:35:53 | 2020-11-26T17:35:53 | 251,711,874 | 0 | 1 | null | 2022-12-12T20:49:00 | 2020-03-31T19:36:35 |
Python
|
UTF-8
|
Python
| false | false | 240 |
6
|
#!/home/oleh/Study/Python/playground/env/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from pip import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(main())
|
[
"[email protected]"
] | |
787a5bbbc0f89f35de62c6a9df56fe8e236de8b7
|
5fc9b2e04599fdca46803ebcd5865b3fbc6b14ad
|
/main.py
|
4e992e98e830d15fab412584525e688f16b5ba70
|
[] |
no_license
|
Yizong98/bookblog_Cataglogue
|
e112ddd55149e1bcb02263a29e5c422eb36d8331
|
65cbfcbf54a749787f38e140dd558fcfa2541027
|
refs/heads/master
| 2020-05-02T23:39:03.867095 | 2019-03-28T21:55:29 | 2019-03-28T21:55:29 | 178,286,124 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 17,977 |
py
|
import requests
from flask import make_response
import json
import httplib2
from oauth2client.client import FlowExchangeError
from oauth2client.client import flow_from_clientsecrets
import string
import random
from flask import session as login_session
from database_setup import Book, Base, MenuItem, Author, User
from sqlalchemy.orm import sessionmaker
from sqlalchemy import create_engine, asc
from flask import Flask, render_template, request, redirect,\
jsonify, url_for, flash
app = Flask(__name__)
CLIENT_ID = json.loads(
open('client_secrets.json', 'r').read())['web']['client_id']
APPLICATION_NAME = "Books Recommendation Application"
# Connect to Database and create database session
engine = create_engine('sqlite:///bookscatalogue.db?check_same_thread=False')
Base.metadata.bind = engine
DBSession = sessionmaker(bind=engine)
session = DBSession()
# Create anti-forgery state token
@app.route('/login')
def showLogin():
state = ''.join(random.choice(string.ascii_uppercase + string.digits)
for x in xrange(32))
login_session['state'] = state
# return "The current session state is %s" % login_session['state']
return render_template('login.html', STATE=state)
@app.route('/fbconnect', methods=['POST'])
def fbconnect():
if request.args.get('state') != login_session['state']:
response = make_response(json.dumps('Invalid state parameter.'), 401)
response.headers['Content-Type'] = 'application/json'
return response
access_token = request.data
print "access token received %s " % access_token
# Use token to get user info from API
userinfo_url = "https://graph.facebook.com/me"
url = '%s?access_token=%s&fields=name,id,email,picture' % (
userinfo_url, access_token)
h = httplib2.Http()
result = h.request(url, 'GET')[1]
# print "url sent for API access:%s"% url
# print "API JSON result: %s" % result
data = json.loads(result)
login_session['provider'] = 'facebook'
login_session['username'] = data["name"]
login_session['email'] = data["email"]
login_session['facebook_id'] = data["id"]
# The token must be stored in the login_session in order to properly logout
login_session['access_token'] = access_token
# Get user picture
login_session['picture'] = data["picture"]["data"]["url"]
# see if user exists
user_id = getUserID(login_session['email'])
if not user_id:
user_id = createUser(login_session)
login_session['user_id'] = user_id
# create display output
output = ''
output += '<h1>Welcome, '
output += login_session['username']
output += '!</h1>'
output += '<img src="'
output += login_session['picture']
output += ' " style = "width: 300px; height: 300px;border-radius: 150px\
;-webkit-border-radius: 150px;-moz-border-radius: 150px;"> '
flash("Now logged in as %s" % login_session['username'])
return output
@app.route('/fbdisconnect')
def fbdisconnect():
facebook_id = login_session['facebook_id']
# The access token must me included to successfully logout
access_token = login_session['access_token']
url = 'https://graph.facebook.com/%s/permissions?access_token=%s' % (
facebook_id, access_token)
h = httplib2.Http()
print("AFTER ", login_session['username'])
result = h.request(url, 'DELETE')[1]
return "you have been logged out"
@app.route('/gconnect', methods=['POST'])
def gconnect():
# Validate state token
if request.args.get('state') != login_session['state']:
response = make_response(json.dumps('Invalid state parameter.'), 401)
response.headers['Content-Type'] = 'application/json'
return response
# Obtain authorization code
code = request.data
try:
# Upgrade the authorization code into a credentials object
oauth_flow = flow_from_clientsecrets('client_secrets.json', scope='')
oauth_flow.redirect_uri = 'postmessage'
credentials = oauth_flow.step2_exchange(code)
except FlowExchangeError:
response = make_response(
json.dumps('Failed to upgrade the authorization code.'), 401)
response.headers['Content-Type'] = 'application/json'
return response
# Check that the access token is valid.
access_token = credentials.access_token
url = ('https://www.googleapis.com/oauth2/v1/tokeninfo?access_token=%s'
% access_token)
h = httplib2.Http()
result = json.loads(h.request(url, 'GET')[1])
# If there was an error in the access token info, abort.
if result.get('error') is not None:
print("WTF")
response = make_response(json.dumps(result.get('error')), 500)
response.headers['Content-Type'] = 'application/json'
return response
# Verify that the access token is used for the intended user.
gplus_id = credentials.id_token['sub']
if result['user_id'] != gplus_id:
response = make_response(
json.dumps("Token's user ID doesn't match given user ID."), 401)
response.headers['Content-Type'] = 'application/json'
return response
# Verify that the access token is valid for this app.
if result['issued_to'] != CLIENT_ID:
response = make_response(
json.dumps("Token's client ID does not match app's."), 401)
print "Token's client ID does not match app's."
response.headers['Content-Type'] = 'application/json'
return response
stored_access_token = login_session.get('access_token')
stored_gplus_id = login_session.get('gplus_id')
if stored_access_token is not None and gplus_id == stored_gplus_id:
response = make_response(json.dumps('Current user is \
already connected.'),
200)
response.headers['Content-Type'] = 'application/json'
return response
# Store the access token in the session for later use.
login_session['access_token'] = credentials.access_token
login_session['gplus_id'] = gplus_id
# Get user info
userinfo_url = "https://www.googleapis.com/oauth2/v1/userinfo"
params = {'access_token': credentials.access_token, 'alt': 'json'}
answer = requests.get(userinfo_url, params=params)
data = answer.json()
login_session['username'] = data['name']
login_session['picture'] = data['picture']
login_session['email'] = data['email']
# ADD PROVIDER TO LOGIN SESSION
login_session['provider'] = 'google'
# see if user exists, if it doesn't make a new one
user_id = getUserID(data["email"])
if not user_id:
user_id = createUser(login_session)
login_session['user_id'] = user_id
output = ''
output += '<h1>Welcome, '
output += login_session['username']
output += '!</h1>'
output += '<img src="'
output += login_session['picture']
output += ' " style = "width: 300px; height: 300px;border-radius: 150px;\
-webkit-border-radius: 150px;-moz-border-radius: 150px;"> '
flash("you are now logged in as %s" % login_session['username'])
print "done!"
return output
@app.route('/gdisconnect')
def gdisconnect():
access_token = login_session.get('access_token')
if access_token is None:
print 'Access Token is None'
response = make_response(json.dumps(
'Current user not connected.'), 401)
response.headers['Content-Type'] = 'application/json'
return response
print 'In gdisconnect access token is %s', access_token
print 'User name is: '
print login_session['username']
url = 'https://accounts.google.com/o/oauth2/revoke?token=%s' \
% login_session['access_token']
h = httplib2.Http()
result = h.request(url, 'GET')[0]
print 'result is '
print result
# When valid status, make response
if result['status'] == '200':
response = make_response(json.dumps('Successfully disconnected.'), 200)
response.headers['Content-Type'] = 'application/json'
return response
else:
response = make_response(json.dumps(
'Failed to revoke token for given user.', 400))
response.headers['Content-Type'] = 'application/json'
return response
# Show all categories
@app.route('/')
@app.route('/book/')
def showBooks():
books = session.query(Book).order_by(asc(Book.name))
menuitems = session.query(MenuItem).order_by(asc(MenuItem.author_name))
names = set(item.author_name for item in menuitems)
if 'username' not in login_session:
return render_template('publicbooks.html', books=books, items=names)
else:
return render_template('books.html', books=books, items=names)
# Create a new Book
@app.route('/book/new/', methods=['GET', 'POST'])
def newBook():
if 'username' not in login_session:
return redirect('/login')
if request.method == 'POST':
# When post, add new book
newBook = Book(name=request.form['name'],
user_id=login_session['user_id'])
session.add(newBook)
flash('New Book %s Successfully Created' % newBook.name)
session.commit()
return redirect(url_for('showBooks'))
else:
return render_template('newBook.html')
# Edit a Book
@app.route('/book/<int:book_id>/edit/', methods=['GET', 'POST'])
def editBook(book_id):
if 'username' not in login_session:
return redirect('/login')
editedBook = session.query(Book).filter_by(id=book_id).one()
# if id doesnt match, disokay alert
if editedBook.user_id != login_session['user_id']:
return "<script>function myFunction() \
{alert('You are not authorized to edit this book.\
Please create your own book in order to edit.');}\
</script><body onload='myFunction()'>"
if request.method == 'POST':
if request.form['name']:
editedBook.name = request.form['name']
flash('Book Successfully Edited %s' % editedBook.name)
return redirect(url_for('showBooks'))
else:
return render_template('editBook.html', book=editedBook)
# Delete a Book
@app.route('/book/<int:book_id>/delete/', methods=['GET', 'POST'])
def deleteBook(book_id):
if 'username' not in login_session:
return redirect('/login')
bookToDelete = session.query(Book).filter_by(id=book_id).one()
print(bookToDelete.user_id)
# if id doesnt match, disokay alert
if bookToDelete.user_id != login_session['user_id']:
return "<script>function myFunction() \
{alert('You are not authorized to delete this book!\
Please create your own book in order to delete.');}\
</script><body onload='myFunction()'>"
# see if post request
if request.method == 'POST':
session.delete(bookToDelete)
session.query(MenuItem).filter_by(book_id=bookToDelete.id).delete()
flash('%s Successfully Deleted' % bookToDelete.name)
session.commit()
return redirect(url_for('showBooks', book_id=book_id))
else:
# if it is Get, go to the delete page
return render_template('deleteBook.html', book=bookToDelete)
# Show a book menu
@app.route('/book/<int:book_id>/')
@app.route('/book/<int:book_id>/menu/')
def showMenu(book_id):
book = session.query(Book).filter_by(id=book_id).one()
creator = getUserInfo(book.user_id)
items = session.query(MenuItem).filter_by(book_id=book_id).all()
print("HAHIDHSIDUHSDIU")
print('username' not in login_session)
print(login_session)
if 'username' not in login_session or \
creator.id != login_session['user_id']:
return render_template('publicmenu.html',
items=items, book=book, creator=creator)
else:
return render_template('menu.html',
items=items, book=book, creator=creator)
# Create a new menu item
@app.route('/book/<int:book_id>/menu/new/', methods=['GET', 'POST'])
def newMenuItem(book_id):
if 'username' not in login_session:
return redirect('/login')
book = session.query(Book).filter_by(id=book_id).one()
# if id doesnt match, disokay alert
if login_session['user_id'] != book.user_id:
return "<script>function myFunction() \
{alert('You are not authorized to add menu items\
to this book.\
Please create your own book in order to add items.');\
}</script><body onload='myFunction()'>"
# add wgen post request
if request.method == 'POST':
newItem = MenuItem(name=request.form['name'],
description=request.form['description'],
price=request.form['price'],
author_name=request.form['author_name'],
book_id=book_id,
user_id=book.user_id)
session.add(newItem)
session.commit()
flash('New Menu %s Item Successfully Created' % (newItem.name))
return redirect(url_for('showMenu', book_id=book_id))
else:
return render_template('newmenuitem.html', book_id=book_id)
# Edit a menu item
@app.route('/book/<int:book_id>/menu/<int:menu_id>/edit',
methods=['GET', 'POST'])
def editMenuItem(book_id, menu_id):
if 'username' not in login_session:
return redirect('/login')
editedItem = session.query(MenuItem).filter_by(id=menu_id).one()
book = session.query(Book).filter_by(id=book_id).one()
# if id doesnt match, disokay alert
if login_session['user_id'] != book.user_id:
return "<script>function myFunction() \
{alert('You are not authorized to edit menu \
items to this book.\
Please create your own book in order to edit items.');\
}</script><body onload='myFunction()'>"
# delete wgen post request
if request.method == 'POST':
print(request.form)
if request.form['name']:
editedItem.name = request.form['name']
if request.form['description']:
editedItem.description = request.form['description']
if request.form['price']:
editedItem.price = request.form['price']
if request.form['author_name']:
print("ITEM", editedItem.author_name)
editedItem.author_name = request.form['author_name']
session.add(editedItem)
session.commit()
flash('Menu Item Successfully Edited')
return redirect(url_for('showMenu', book_id=book_id))
else:
return render_template('editmenuitem.html',
book_id=book_id,
menu_id=menu_id, item=editedItem)
# Delete a menu item
@app.route('/book/<int:book_id>/menu/<int:menu_id>/delete',
methods=['GET', 'POST'])
def deleteMenuItem(book_id, menu_id):
if 'username' not in login_session:
return redirect('/login')
book = session.query(Book).filter_by(id=book_id).one()
itemToDelete = session.query(MenuItem).filter_by(id=menu_id).one()
# if id doesnt match, disokay alert
if login_session['user_id'] != book.user_id:
return "<script>function myFunction() \
{alert('You are not authorized \
to delete menu items to this book. \
Please create your own book in order to delete items.');\
}</script><body onload='myFunction()'>"
if request.method == 'POST':
# delete wgen post request
session.delete(itemToDelete)
session.commit()
flash('Menu Item Successfully Deleted')
return redirect(url_for('showMenu', book_id=book_id))
else:
return render_template('deleteMenuItem.html', item=itemToDelete)
# JSON APIs to view book Information
@app.route('/book/<int:book_id>/menu/JSON')
def BookMenuJSON(book_id):
print(session.query(Book).filter_by(id=book_id).one())
book = session.query(Book).filter_by(id=book_id).one()
items = session.query(MenuItem).filter_by(book_id=book_id).all()
return jsonify(MenuItems=[i.serialize for i in items])
@app.route('/book/<int:book_id>/menu/<int:menu_id>/JSON')
def menuItemJSON(book_id, menu_id):
Menu_Item = session.query(MenuItem).filter_by(id=menu_id).one()
return jsonify(Menu_Item=Menu_Item.serialize)
@app.route('/book/JSON')
def BooksJSON():
books = session.query(Book).all()
return jsonify(books=[r.serialize for r in books])
def createUser(login_session):
# Add user
newUser = User(name=login_session['username'], email=login_session[
'email'], picture=login_session['picture'])
session.add(newUser)
session.commit()
user = session.query(User).filter_by(email=login_session['email']).one()
return user.id
def getUserInfo(user_id):
user = session.query(User).filter_by(id=user_id).one()
return user
def getUserID(email):
try:
user = session.query(User).filter_by(email=email).one()
return user.id
except:
return None
# Disconnect based on provider
@app.route('/disconnect')
def disconnect():
# check whether user in session
if 'provider' in login_session:
if login_session['provider'] == 'google':
gdisconnect()
del login_session['gplus_id']
del login_session['access_token']
if login_session['provider'] == 'facebook':
fbdisconnect()
del login_session['facebook_id']
# delete all session info when closerd
del login_session['username']
del login_session['email']
del login_session['picture']
del login_session['user_id']
del login_session['provider']
flash("You have successfully been logged out.")
return redirect(url_for('showBooks'))
else:
flash("You were not logged in")
return redirect(url_for('showBooks'))
if __name__ == '__main__':
app.secret_key = 'super_secret_key'
app.debug = True
app.run(host='0.0.0.0', port=8000)
|
[
"[email protected]"
] | |
c702a1355b9688ac31eb5f513f2d151be4f47134
|
f242b489b9d3db618cf04415d4a7d490bac36db0
|
/Archives_Homework/src/archivesziped.py
|
2b15451a84885e66b830d42976855d566e4d935e
|
[] |
no_license
|
LABETE/Python2_Homework
|
e33d92d4f8a1867a850430600ccc7baf7ebc6dad
|
b24207b74c7883c220efc28d315e386dedead41d
|
refs/heads/master
| 2016-08-12T19:04:05.304348 | 2015-05-27T04:05:18 | 2015-05-27T04:05:18 | 36,182,485 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 710 |
py
|
import zipfile
import os
import glob
def zippedfiles(zipfilename):
path = os.getcwd()
zip_file = os.path.join(path, os.path.basename(zipfilename)+".zip")
files_to_zip = [os.path.basename(fn) for fn in glob.glob(zipfilename+"\*") if os.path.isfile(fn)]
zf = zipfile.ZipFile(zip_file, "w", zipfile.ZIP_DEFLATED)
file_to_zip = os.path.split(zipfilename)
file_to_zip = file_to_zip[-1]
for file in files_to_zip:
zf.write(os.path.join(path,file),os.path.join(file_to_zip,file))
list_ziped_files = zf.namelist()
zf.close()
sorted_ziped_files = []
for file in list_ziped_files:
sorted_ziped_files.append(file.replace("/","\\"))
return sorted_ziped_files
|
[
"[email protected]"
] | |
71f9088eb2850508d7b32b8291db9c48eaf63ed4
|
649bd422025e421d86025743eac324c9b882a2e8
|
/exam/1_three-dimensional_atomic_system/dump/phasetrans/temp50_8000.py
|
bb136f85f5c8e67ef30d0a736db52e8c424e4cff
|
[] |
no_license
|
scheuclu/atom_class
|
36ddee1f6a5995872e858add151c5942c109847c
|
0c9a8c63d9b38898c1869fe8983126cef17662cd
|
refs/heads/master
| 2021-01-21T10:52:28.448221 | 2017-03-07T23:04:41 | 2017-03-07T23:04:41 | 83,489,471 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 68,893 |
py
|
ITEM: TIMESTEP
8000
ITEM: NUMBER OF ATOMS
2048
ITEM: BOX BOUNDS pp pp pp
6.8399774235701472e-01 4.6516002257638277e+01
6.8399774235701472e-01 4.6516002257638277e+01
6.8399774235701472e-01 4.6516002257638277e+01
ITEM: ATOMS id type xs ys zs
8 1 0.125275 0.0524332 0.0700987
35 1 0.055693 0.119442 0.0648769
130 1 0.0616181 0.0547876 0.124558
165 1 0.126576 0.11896 0.126558
117 1 0.629185 0.381969 0.00479994
147 1 0.562191 0.00221148 0.189248
1039 1 0.436585 0.503297 0.061793
12 1 0.252674 0.0544219 0.058728
39 1 0.182635 0.120352 0.0618921
43 1 0.314606 0.119882 0.0651928
134 1 0.187246 0.0604005 0.122769
138 1 0.317592 0.0604458 0.123622
169 1 0.252452 0.122122 0.124648
82 1 0.558777 0.315202 0.00646483
85 1 0.618607 0.255592 0.00203588
397 1 0.37019 -0.00249033 0.372018
271 1 0.440397 -0.000869142 0.309943
259 1 0.060496 -0.00193926 0.308511
16 1 0.375499 0.0603909 0.0657616
47 1 0.436956 0.12426 0.0635057
142 1 0.436794 0.0616845 0.131913
173 1 0.373818 0.124945 0.126361
20 1 0.500724 0.0683344 0.0697854
518 1 0.188316 0.0599628 0.502126
1043 1 0.559323 0.496893 0.0600433
121 1 0.744977 0.378285 0.00809734
177 1 0.496375 0.128972 0.129971
24 1 0.619914 0.0621852 0.0615539
51 1 0.560747 0.123861 0.0670863
146 1 0.557121 0.0657963 0.127899
181 1 0.623399 0.125702 0.1258
512 1 0.87847 0.440042 0.440048
135 1 0.18672 0.00215882 0.190384
28 1 0.747809 0.0567115 0.0638979
55 1 0.686831 0.117041 0.0587394
59 1 0.821391 0.126433 0.0628188
150 1 0.685996 0.0634803 0.122317
154 1 0.808534 0.0601883 0.126617
185 1 0.749955 0.123422 0.121806
122 1 0.813307 0.441177 0.00224049
511 1 0.933441 0.37016 0.43958
86 1 0.688381 0.315152 0.00723756
267 1 0.305731 0.000642363 0.309925
403 1 0.564603 7.83976e-05 0.438374
161 1 0.98911 0.121528 0.125743
4 1 1.00032 0.0577103 0.0613343
32 1 0.875994 0.0551447 0.0584332
63 1 0.933112 0.117627 0.0604438
158 1 0.940662 0.0556838 0.122455
189 1 0.876372 0.128137 0.123092
510 1 0.938072 0.439574 0.370386
405 1 0.625534 -0.000763179 0.374656
137 1 0.24609 -0.0027281 0.127834
40 1 0.12264 0.187154 0.064434
67 1 0.0621523 0.246944 0.0598532
72 1 0.125549 0.306594 0.0622905
162 1 0.0583119 0.181749 0.122893
194 1 0.058968 0.312171 0.127075
197 1 0.119212 0.246858 0.123427
68 1 0.00112882 0.310166 0.0644128
193 1 1.00337 0.250352 0.128425
36 1 0.994991 0.188341 0.0624711
53 1 0.621827 0.118643 -0.00124165
570 1 0.811756 0.183528 0.504084
44 1 0.244967 0.184196 0.0642356
71 1 0.188147 0.248519 0.0633854
75 1 0.303371 0.245034 0.0600301
76 1 0.246176 0.318303 0.0653256
166 1 0.18216 0.182365 0.126476
170 1 0.30957 0.182367 0.124042
198 1 0.185137 0.31214 0.124392
201 1 0.249644 0.248747 0.12439
202 1 0.310898 0.313749 0.129209
1411 1 0.0649441 0.496923 0.440246
1419 1 0.308126 0.495667 0.440822
1031 1 0.181989 0.496211 0.0597779
48 1 0.364943 0.186716 0.0619609
79 1 0.434004 0.247066 0.0590481
80 1 0.36766 0.310752 0.0656114
174 1 0.43521 0.190688 0.125649
205 1 0.366921 0.245658 0.125254
206 1 0.433675 0.309355 0.124266
52 1 0.498767 0.183013 0.0615933
209 1 0.497324 0.254251 0.127659
1427 1 0.568519 0.49429 0.436818
263 1 0.189523 0.000990593 0.310561
84 1 0.498894 0.307384 0.065758
56 1 0.622955 0.185115 0.0640302
83 1 0.562237 0.249481 0.0663199
88 1 0.624964 0.318461 0.0650322
178 1 0.566754 0.186921 0.126492
210 1 0.56921 0.308622 0.127212
213 1 0.628612 0.251258 0.130193
395 1 0.31312 -0.0022712 0.433694
60 1 0.747822 0.184389 0.0631689
87 1 0.683456 0.248918 0.064574
91 1 0.812381 0.250316 0.0612225
92 1 0.753786 0.315455 0.0633242
182 1 0.688258 0.186508 0.123109
186 1 0.810621 0.188832 0.12471
214 1 0.688962 0.31556 0.126657
217 1 0.749284 0.251193 0.120148
218 1 0.817371 0.311749 0.128465
49 1 0.495497 0.128481 -0.00224216
265 1 0.248562 0.0063132 0.247857
393 1 0.244096 0.000473523 0.37808
606 1 0.934114 0.30689 0.500771
64 1 0.872013 0.191676 0.0537877
95 1 0.934179 0.250345 0.0603664
96 1 0.870875 0.315334 0.0639238
190 1 0.937174 0.187316 0.125603
221 1 0.87279 0.245532 0.123346
222 1 0.934524 0.305976 0.127856
385 1 -0.0038265 0.00827323 0.378861
99 1 0.05997 0.372612 0.0624401
104 1 0.120514 0.435591 0.0593198
226 1 0.0673868 0.437571 0.12167
229 1 0.125455 0.375979 0.116444
550 1 0.188235 0.184894 0.499874
1161 1 0.247494 0.500671 0.125602
509 1 0.87392 0.37827 0.373062
590 1 0.43866 0.313227 0.497585
1153 1 0.00142726 0.500154 0.127384
151 1 0.681864 0.00248686 0.185075
391 1 0.184335 0.000527043 0.441033
1165 1 0.371129 0.497274 0.125852
257 1 -0.000722187 -0.0021065 0.247572
103 1 0.184689 0.374186 0.0593363
107 1 0.31269 0.375578 0.0581362
108 1 0.246532 0.438378 0.0621988
230 1 0.184564 0.44092 0.120139
233 1 0.25054 0.379865 0.126184
234 1 0.315735 0.433948 0.115661
111 1 0.431998 0.372218 0.0607526
112 1 0.370097 0.434042 0.0569016
237 1 0.371124 0.369449 0.126185
238 1 0.429018 0.436489 0.124979
241 1 0.497142 0.372591 0.126605
116 1 0.492474 0.435492 0.0661674
153 1 0.746881 -0.00351767 0.124165
508 1 0.751862 0.438625 0.432939
507 1 0.810479 0.373301 0.435856
593 1 0.49481 0.252887 0.496526
115 1 0.557046 0.376685 0.0680944
120 1 0.622822 0.43363 0.0680285
242 1 0.556513 0.440184 0.133747
245 1 0.622741 0.372414 0.127897
119 1 0.683351 0.380104 0.069721
123 1 0.819333 0.373428 0.0694191
124 1 0.755192 0.44184 0.0674971
246 1 0.685507 0.444619 0.128739
249 1 0.754461 0.378796 0.124713
250 1 0.81934 0.437737 0.126296
506 1 0.81597 0.443169 0.372735
573 1 0.876193 0.12455 0.498012
1159 1 0.189929 0.499101 0.190003
1155 1 0.0661853 0.494945 0.183006
505 1 0.7567 0.376026 0.373672
269 1 0.38028 -0.000995045 0.248845
225 1 0.00140618 0.378519 0.122551
100 1 0.99722 0.438281 0.0627536
127 1 0.940094 0.373136 0.0656695
128 1 0.880842 0.435283 0.0671569
253 1 0.876499 0.375233 0.12917
254 1 0.935618 0.442535 0.130081
503 1 0.693837 0.375691 0.436161
136 1 0.130032 0.0577017 0.185799
163 1 0.0622222 0.123473 0.191151
258 1 0.0618529 0.0603591 0.245699
264 1 0.119866 0.0609495 0.316587
291 1 0.0616754 0.128749 0.313389
293 1 0.124726 0.121152 0.253429
132 1 1.00366 0.0666796 0.186091
502 1 0.691358 0.43324 0.375588
140 1 0.253535 0.063444 0.185774
167 1 0.186052 0.119076 0.187346
171 1 0.308814 0.126064 0.189942
262 1 0.183941 0.0647644 0.257193
266 1 0.309982 0.0633069 0.245493
268 1 0.255611 0.0623238 0.311484
295 1 0.188015 0.123768 0.311465
297 1 0.251724 0.123683 0.249312
299 1 0.314813 0.127527 0.314328
1289 1 0.250522 0.500426 0.252412
144 1 0.376605 0.0623253 0.192652
175 1 0.433705 0.125159 0.19272
270 1 0.438075 0.063988 0.257555
272 1 0.376435 0.0652942 0.316689
301 1 0.373117 0.118548 0.253367
303 1 0.439181 0.126787 0.318896
19 1 0.560558 0.00104114 0.0690607
500 1 0.504023 0.431466 0.434951
1413 1 0.124008 0.497642 0.375293
276 1 0.500628 0.0630437 0.317454
305 1 0.496777 0.123844 0.254675
148 1 0.495672 0.065702 0.189262
152 1 0.624977 0.064086 0.185297
179 1 0.563084 0.12722 0.189447
274 1 0.558808 0.0673548 0.247966
280 1 0.628174 0.0628327 0.302833
307 1 0.564124 0.123972 0.310662
309 1 0.630232 0.121424 0.242136
1299 1 0.566599 0.499947 0.316063
498 1 0.562864 0.432113 0.374401
526 1 0.439744 0.0655042 0.499322
275 1 0.562759 0.00257009 0.312551
156 1 0.749968 0.0622159 0.186322
183 1 0.686991 0.125795 0.182222
187 1 0.812156 0.12108 0.183956
278 1 0.689955 0.0594975 0.249463
282 1 0.810719 0.0635833 0.249408
284 1 0.755152 0.0520319 0.313863
311 1 0.692497 0.120989 0.315162
313 1 0.751691 0.120688 0.24523
315 1 0.807939 0.12176 0.309793
499 1 0.565468 0.369109 0.434116
289 1 -0.00201895 0.123361 0.254482
501 1 0.63035 0.373314 0.366725
260 1 -0.000380063 0.0581724 0.316554
160 1 0.874388 0.0635622 0.186119
191 1 0.935696 0.122384 0.191213
286 1 0.931742 0.0579076 0.249366
288 1 0.874633 0.0621917 0.310625
317 1 0.871151 0.123195 0.251103
319 1 0.935115 0.122973 0.313743
168 1 0.124861 0.181999 0.18609
195 1 0.0693674 0.252688 0.188914
200 1 0.13126 0.313201 0.186735
290 1 0.0601946 0.184571 0.250954
296 1 0.126871 0.185965 0.313751
322 1 0.0616025 0.311995 0.253695
323 1 0.0572014 0.251001 0.31574
325 1 0.122313 0.250848 0.254287
328 1 0.125773 0.319958 0.315956
164 1 1.00063 0.185065 0.189062
172 1 0.248334 0.189026 0.184437
199 1 0.186781 0.24843 0.187984
203 1 0.313618 0.25066 0.192746
204 1 0.244636 0.310183 0.187102
294 1 0.18889 0.187028 0.25177
298 1 0.317703 0.187292 0.255181
300 1 0.248049 0.186243 0.318227
326 1 0.190467 0.310967 0.253694
327 1 0.18858 0.25014 0.317268
329 1 0.249769 0.245222 0.248566
330 1 0.313377 0.308267 0.252065
331 1 0.313374 0.248078 0.31365
332 1 0.252545 0.314851 0.311563
176 1 0.370371 0.185437 0.191674
207 1 0.439425 0.246783 0.196445
208 1 0.371415 0.31286 0.185663
302 1 0.433668 0.185326 0.251421
304 1 0.375948 0.190314 0.313465
333 1 0.379412 0.251983 0.254961
334 1 0.439711 0.312241 0.253663
335 1 0.438017 0.251382 0.315074
336 1 0.375193 0.314662 0.310975
340 1 0.505232 0.315173 0.312396
180 1 0.500039 0.186295 0.191424
337 1 0.501246 0.251567 0.255027
212 1 0.496234 0.313262 0.187513
308 1 0.501838 0.188552 0.310634
184 1 0.630361 0.18977 0.184386
211 1 0.559389 0.247819 0.192429
216 1 0.631821 0.314822 0.188217
306 1 0.564115 0.185223 0.252794
312 1 0.629103 0.185063 0.30847
338 1 0.569682 0.308022 0.253439
339 1 0.570209 0.248414 0.312682
341 1 0.631747 0.246689 0.250928
344 1 0.630342 0.314927 0.309583
188 1 0.753959 0.187356 0.185688
215 1 0.694445 0.25086 0.188963
219 1 0.812279 0.247236 0.183254
220 1 0.752743 0.320611 0.187919
310 1 0.689261 0.185336 0.243944
314 1 0.810073 0.186657 0.249921
316 1 0.748746 0.183796 0.309732
342 1 0.694492 0.320974 0.25128
343 1 0.694612 0.25713 0.307742
345 1 0.754485 0.252744 0.251958
346 1 0.8128 0.31294 0.244411
347 1 0.811905 0.252534 0.314156
348 1 0.752137 0.315317 0.309686
196 1 0.996599 0.314622 0.180825
292 1 1.00046 0.190175 0.31441
324 1 -0.00416669 0.317721 0.314576
321 1 0.000911338 0.251834 0.247826
192 1 0.872715 0.182099 0.187069
223 1 0.935426 0.243171 0.18871
224 1 0.880947 0.311094 0.1893
318 1 0.938047 0.184405 0.248423
320 1 0.871554 0.182515 0.311965
349 1 0.877234 0.250605 0.253622
350 1 0.939175 0.311894 0.25019
351 1 0.937758 0.247174 0.308245
352 1 0.877321 0.313384 0.306403
411 1 0.811961 0.00100094 0.440472
46 1 0.433533 0.186141 -0.000616561
227 1 0.0658652 0.374047 0.184487
232 1 0.128632 0.434663 0.187634
354 1 0.0678034 0.439872 0.25225
355 1 0.0617209 0.37569 0.311168
357 1 0.130175 0.375455 0.249329
360 1 0.128666 0.434545 0.311615
356 1 1.00012 0.436321 0.310084
504 1 0.625252 0.434702 0.443334
113 1 0.49685 0.378797 0.00225695
231 1 0.189851 0.375179 0.183973
235 1 0.31036 0.370212 0.189248
236 1 0.248064 0.439971 0.180328
358 1 0.189958 0.43286 0.245724
359 1 0.195322 0.379217 0.309987
361 1 0.251186 0.371979 0.247694
362 1 0.307869 0.440392 0.24672
363 1 0.311123 0.374146 0.312531
364 1 0.252787 0.439078 0.305073
493 1 0.369872 0.378909 0.375474
114 1 0.560023 0.437184 -0.00146678
495 1 0.434231 0.36992 0.435994
1297 1 0.499846 0.50412 0.251622
239 1 0.434901 0.371877 0.195412
240 1 0.374815 0.429233 0.188789
365 1 0.369274 0.373995 0.247718
366 1 0.427429 0.436427 0.255609
367 1 0.434864 0.373794 0.313992
368 1 0.368342 0.439149 0.312526
369 1 0.506779 0.372495 0.256039
244 1 0.494947 0.430412 0.190969
372 1 0.497215 0.434517 0.310592
277 1 0.622488 0.00310053 0.248512
1421 1 0.370078 0.495775 0.378936
494 1 0.438776 0.441141 0.377444
287 1 0.93451 -0.000581836 0.3172
496 1 0.377097 0.434583 0.441454
243 1 0.562879 0.370764 0.188731
248 1 0.622365 0.439639 0.182946
370 1 0.555512 0.438536 0.245991
371 1 0.570988 0.37934 0.309405
373 1 0.629533 0.376554 0.246913
376 1 0.626845 0.436742 0.307212
247 1 0.693106 0.380936 0.184976
251 1 0.816769 0.378511 0.187922
252 1 0.760006 0.439337 0.182568
374 1 0.683277 0.441651 0.245188
375 1 0.691997 0.381449 0.308978
377 1 0.749134 0.384162 0.245002
378 1 0.813362 0.440505 0.249992
379 1 0.815174 0.374103 0.310167
380 1 0.752788 0.440853 0.312655
497 1 0.496321 0.373674 0.374651
38 1 0.18858 0.194051 0.00152719
228 1 -0.00061946 0.437908 0.185375
353 1 0.00221678 0.378326 0.243058
255 1 0.939928 0.380092 0.183881
256 1 0.875097 0.442181 0.185089
381 1 0.878542 0.380172 0.244063
382 1 0.937914 0.439782 0.245908
383 1 0.9344 0.378243 0.307808
384 1 0.876709 0.442965 0.309751
50 1 0.560246 0.186099 0.000872627
1167 1 0.426487 0.498473 0.195197
1423 1 0.442568 0.495815 0.439192
386 1 0.0605286 0.0741717 0.382352
392 1 0.125108 0.0625699 0.436912
419 1 0.0690514 0.135868 0.443591
421 1 0.12458 0.130016 0.373592
388 1 0.997825 0.0640415 0.446233
417 1 1.0034 0.134298 0.377381
1415 1 0.192298 0.503811 0.435246
1295 1 0.434311 0.50107 0.31388
390 1 0.182978 0.0648384 0.372241
394 1 0.313614 0.0606214 0.376549
396 1 0.246154 0.0673198 0.441908
423 1 0.182464 0.124011 0.442589
425 1 0.24554 0.122171 0.377801
427 1 0.310732 0.124461 0.434754
78 1 0.439612 0.310033 0.002018
389 1 0.126422 -0.000391148 0.378946
585 1 0.245788 0.245831 0.499483
398 1 0.434782 0.0583538 0.379076
400 1 0.373881 0.0580505 0.439282
429 1 0.371447 0.12134 0.381348
431 1 0.443496 0.125576 0.440868
81 1 0.496731 0.247286 -0.00151338
1429 1 0.629374 0.491005 0.379029
404 1 0.499904 0.0591644 0.437739
433 1 0.506756 0.124516 0.373246
402 1 0.56267 0.0579228 0.375341
408 1 0.626523 0.0633241 0.439132
435 1 0.560292 0.127019 0.444884
437 1 0.622554 0.11925 0.375672
487 1 0.182877 0.377795 0.439403
406 1 0.685368 0.0572457 0.373184
410 1 0.814564 0.0610824 0.369814
412 1 0.756194 0.0665419 0.440036
439 1 0.693601 0.119483 0.438917
441 1 0.751889 0.121168 0.373412
443 1 0.814097 0.127512 0.437423
486 1 0.18789 0.438475 0.37521
492 1 0.249807 0.43693 0.447123
414 1 0.932316 0.0644499 0.382764
416 1 0.874438 0.0659964 0.447086
445 1 0.871253 0.11953 0.372377
447 1 0.936808 0.132414 0.436863
491 1 0.313525 0.375715 0.435679
489 1 0.242458 0.37707 0.378779
1163 1 0.306723 0.500018 0.18609
418 1 0.0649552 0.192759 0.379161
424 1 0.133522 0.193597 0.440728
450 1 0.0574928 0.316002 0.375403
451 1 0.0656448 0.253648 0.441216
453 1 0.121717 0.256546 0.372897
456 1 0.125206 0.313591 0.436359
449 1 1.00106 0.248526 0.377819
77 1 0.369152 0.244393 0.00519506
490 1 0.304265 0.439911 0.376255
422 1 0.186855 0.193832 0.377395
426 1 0.3107 0.185156 0.376822
428 1 0.24507 0.185965 0.432234
454 1 0.189094 0.317555 0.374734
455 1 0.190236 0.250987 0.434792
457 1 0.255451 0.256071 0.373133
458 1 0.315247 0.314521 0.373333
459 1 0.309062 0.248267 0.438736
460 1 0.248639 0.310952 0.440933
629 1 0.630594 0.371211 0.496101
625 1 0.502912 0.368335 0.499646
430 1 0.436622 0.186099 0.376119
432 1 0.371374 0.190029 0.438597
461 1 0.369845 0.251917 0.372258
462 1 0.433113 0.311783 0.378494
463 1 0.431551 0.2487 0.43656
464 1 0.374082 0.313924 0.435888
468 1 0.505789 0.308597 0.431623
118 1 0.690406 0.445135 0.00711041
1433 1 0.751987 0.500545 0.373653
436 1 0.507268 0.191503 0.431551
465 1 0.507928 0.242982 0.372468
466 1 0.566708 0.313723 0.369081
440 1 0.629399 0.18093 0.434339
434 1 0.563279 0.186624 0.365837
467 1 0.572898 0.248158 0.43907
469 1 0.631549 0.247373 0.36795
472 1 0.634693 0.311807 0.435404
488 1 0.124849 0.441146 0.436271
474 1 0.813675 0.313773 0.375124
442 1 0.811116 0.188621 0.374541
444 1 0.755456 0.187115 0.441106
473 1 0.749352 0.247172 0.371041
475 1 0.812491 0.249281 0.443674
470 1 0.690011 0.31918 0.368648
471 1 0.686217 0.249916 0.436673
476 1 0.747473 0.308543 0.431833
438 1 0.689085 0.185946 0.372502
482 1 0.0591115 0.443409 0.371504
483 1 0.0666077 0.380195 0.439242
452 1 0.992585 0.309521 0.43498
477 1 0.872036 0.249661 0.380288
420 1 0.000553346 0.187583 0.436936
448 1 0.8758 0.190131 0.442231
480 1 0.8726 0.31081 0.436664
446 1 0.935056 0.188087 0.373036
479 1 0.933283 0.246491 0.438527
478 1 0.937181 0.30887 0.373998
485 1 0.12172 0.38201 0.371918
481 1 0.996763 0.378385 0.37694
484 1 0.992663 0.438829 0.434315
1553 1 0.502103 0.496841 0.498846
1055 1 0.937843 0.499356 0.0624657
273 1 0.500204 0.00387479 0.25242
21 1 0.619268 0.000905519 0.00227541
155 1 0.81501 0.00014099 0.190314
90 1 0.811367 0.311814 0.00137175
1285 1 0.128182 0.499018 0.246301
1431 1 0.686755 0.497907 0.442855
1417 1 0.248388 0.501897 0.372361
577 1 0.00128273 0.246963 0.497633
582 1 0.188902 0.309943 0.498519
578 1 0.0557411 0.313581 0.498177
125 1 0.878502 0.374255 -0.000702241
557 1 0.37073 0.124266 0.500574
633 1 0.751862 0.372625 0.498465
18 1 0.552554 0.0651696 0.00435307
69 1 0.123021 0.248902 -0.00370827
637 1 0.870534 0.374045 0.494995
41 1 0.25227 0.123435 0.00193999
73 1 0.246631 0.254953 0.00320193
101 1 0.124262 0.373423 0.00214216
34 1 0.0589355 0.182273 0.00673058
558 1 0.439946 0.190376 0.491329
621 1 0.376034 0.369274 0.50379
97 1 -0.000415093 0.37177 0.00336964
58 1 0.805271 0.179441 -0.00142972
54 1 0.684661 0.180691 0.00276046
6 1 0.192467 0.0590213 0.000853212
102 1 0.184805 0.438561 0.00107606
26 1 0.811599 0.061485 0.00352554
89 1 0.744864 0.244662 0.00308647
74 1 0.312452 0.315216 0.00115518
65 1 0.99676 0.247599 0.00376918
609 1 0.990732 0.37149 0.496292
37 1 0.124931 0.132362 0.00306417
98 1 0.0657646 0.442464 -0.00280968
520 1 0.125524 0.0638617 0.56188
547 1 0.0659808 0.123097 0.56819
642 1 0.0658016 0.061886 0.624484
677 1 0.126159 0.124929 0.625086
673 1 0.999189 0.125459 0.626666
93 1 0.875777 0.255133 1.00199
921 1 0.74815 0.000460717 0.875456
524 1 0.252091 0.0572195 0.564048
551 1 0.186413 0.122502 0.560904
555 1 0.319572 0.131882 0.564111
646 1 0.189207 0.063987 0.624761
650 1 0.315345 0.0619518 0.622212
681 1 0.251996 0.127907 0.621018
1695 1 0.933893 0.500271 0.684607
1941 1 0.623806 0.498919 0.874514
542 1 0.936413 0.0594249 0.504971
528 1 0.37705 0.0615907 0.560516
559 1 0.439015 0.127812 0.556624
654 1 0.443992 0.0549569 0.62632
685 1 0.379661 0.127214 0.618276
532 1 0.500496 0.0638964 0.560844
689 1 0.50462 0.128176 0.627047
1689 1 0.751282 0.499692 0.632069
586 1 0.310669 0.312791 0.494839
514 1 0.0628666 0.0618707 0.496416
781 1 0.379513 0.00499161 0.750569
536 1 0.622621 0.0571451 0.564948
563 1 0.559061 0.126422 0.562662
658 1 0.56224 0.0688272 0.625393
693 1 0.627517 0.123776 0.629261
546 1 0.0653231 0.193418 0.500946
1803 1 0.315142 0.497802 0.816773
14 1 0.441759 0.0672902 0.997374
601 1 0.749888 0.254476 0.500229
540 1 0.758661 0.0678208 0.567378
567 1 0.685567 0.124198 0.569349
571 1 0.819727 0.120528 0.562834
662 1 0.685344 0.0614185 0.624517
666 1 0.821275 0.0651819 0.63014
697 1 0.753268 0.126563 0.626426
661 1 0.624196 0.00368177 0.631185
1809 1 0.508631 0.505684 0.745013
62 1 0.936575 0.190192 1.00072
29 1 0.871462 0.00213121 0.99784
110 1 0.435657 0.437321 1.00435
516 1 0.99786 0.0716583 0.56199
996 1 0.997944 0.438531 0.935663
544 1 0.877367 0.062453 0.55995
575 1 0.934454 0.126884 0.56327
670 1 0.931905 0.0627556 0.627768
701 1 0.878187 0.129257 0.62782
515 1 0.0648278 -0.00281249 0.55872
552 1 0.123232 0.187969 0.560814
579 1 0.0608053 0.255615 0.561765
584 1 0.123948 0.31466 0.558474
674 1 0.064458 0.186942 0.631155
706 1 0.0643131 0.309058 0.62446
709 1 0.123503 0.248347 0.621941
580 1 -0.00372522 0.314828 0.560734
705 1 0.999326 0.250114 0.623209
777 1 0.25607 -0.00257122 0.745076
663 1 0.685112 -0.000900688 0.689102
30 1 0.939087 0.0570406 1.00206
1679 1 0.446635 0.50295 0.684274
556 1 0.25177 0.184586 0.565992
583 1 0.185487 0.24569 0.560674
587 1 0.311419 0.250325 0.560791
588 1 0.246433 0.306751 0.559187
678 1 0.184211 0.186363 0.628395
682 1 0.314686 0.186134 0.624454
710 1 0.186902 0.309659 0.620353
713 1 0.244517 0.24789 0.624694
714 1 0.309722 0.310512 0.620808
560 1 0.381851 0.189021 0.559495
591 1 0.437465 0.252388 0.562125
592 1 0.372224 0.310518 0.560495
686 1 0.444101 0.187084 0.626455
717 1 0.383068 0.24784 0.624619
718 1 0.437454 0.313894 0.622922
596 1 0.502794 0.310829 0.561982
564 1 0.498636 0.189033 0.562648
523 1 0.314728 0.00210603 0.560625
773 1 0.125341 0.00564625 0.749099
721 1 0.502036 0.248482 0.623416
568 1 0.621898 0.187727 0.569837
595 1 0.568819 0.256275 0.564755
600 1 0.631123 0.315527 0.562168
690 1 0.56318 0.193018 0.625238
722 1 0.567904 0.314803 0.629501
725 1 0.62473 0.250678 0.626229
779 1 0.314402 -0.00151518 0.810305
913 1 0.498265 -0.00321982 0.873319
572 1 0.751892 0.193032 0.564018
599 1 0.68936 0.252011 0.571567
603 1 0.809745 0.252912 0.567233
604 1 0.748857 0.312562 0.562591
694 1 0.690173 0.185172 0.627023
698 1 0.817888 0.186332 0.626528
726 1 0.68953 0.314483 0.629646
729 1 0.754108 0.254278 0.628016
730 1 0.813563 0.316284 0.626046
634 1 0.807781 0.437293 0.498871
1567 1 0.940818 0.501329 0.563482
10 1 0.315197 0.0546459 0.998801
33 1 0.995233 0.120877 0.997509
548 1 0.00876758 0.186169 0.565901
576 1 0.873495 0.185508 0.561963
607 1 0.941229 0.247449 0.560208
608 1 0.878436 0.313204 0.560935
702 1 0.939696 0.185789 0.623704
733 1 0.875437 0.247375 0.623246
734 1 0.935181 0.306222 0.624226
602 1 0.81065 0.311771 0.505378
126 1 0.94064 0.432282 0.997026
611 1 0.0616222 0.376244 0.569655
616 1 0.126389 0.436856 0.566742
738 1 0.0654033 0.436975 0.62473
741 1 0.122709 0.374611 0.627321
769 1 0.00234852 0.0040723 0.751022
737 1 1.00039 0.37437 0.62526
1024 1 0.870541 0.432505 0.937213
1805 1 0.376572 0.495761 0.752527
614 1 0.186281 0.436364 0.500145
1929 1 0.251071 0.503398 0.873288
615 1 0.186932 0.373501 0.562401
619 1 0.310988 0.369963 0.557302
620 1 0.247907 0.43756 0.567286
742 1 0.187171 0.440196 0.626988
745 1 0.25092 0.373038 0.622809
746 1 0.314123 0.437807 0.627237
1023 1 0.933678 0.374415 0.935882
57 1 0.751061 0.118486 1.00252
566 1 0.694625 0.178944 0.503505
623 1 0.443964 0.381497 0.560754
624 1 0.375935 0.437914 0.567978
749 1 0.373072 0.371117 0.621401
750 1 0.441755 0.436793 0.622937
628 1 0.508439 0.438387 0.567438
753 1 0.50249 0.369798 0.623516
1795 1 0.0680139 0.496921 0.817023
923 1 0.81505 -0.00299176 0.93023
1797 1 0.124797 0.494565 0.7545
1022 1 0.937339 0.437521 0.868823
627 1 0.563492 0.372319 0.565606
632 1 0.627209 0.435765 0.558897
754 1 0.567104 0.435507 0.625451
757 1 0.628692 0.376433 0.629195
1937 1 0.504501 0.500762 0.87685
1563 1 0.809727 0.501278 0.563689
631 1 0.688578 0.373975 0.564067
635 1 0.808935 0.373558 0.561259
636 1 0.752666 0.441817 0.567418
758 1 0.686823 0.438498 0.621677
761 1 0.748459 0.374813 0.624475
762 1 0.808268 0.438443 0.62981
1021 1 0.873599 0.377862 0.871218
61 1 0.877154 0.117904 0.998128
42 1 0.304219 0.18717 1.00052
1799 1 0.184603 0.497245 0.809724
2 1 0.0592654 0.0604957 1.00122
612 1 -0.00291966 0.438938 0.567328
639 1 0.939057 0.379554 0.56461
640 1 0.86552 0.435267 0.561297
765 1 0.872841 0.376993 0.627532
766 1 0.93928 0.438334 0.62905
993 1 0.997611 0.378485 0.87607
1793 1 0.995578 0.503242 0.744058
771 1 0.0611653 0.00478981 0.811443
1925 1 0.129507 0.497173 0.877507
1923 1 0.0638308 0.504705 0.933462
648 1 0.125312 0.0645273 0.682663
675 1 0.0622054 0.124661 0.684607
770 1 0.0599226 0.0616294 0.746958
776 1 0.129899 0.0604782 0.814284
803 1 0.0660322 0.122811 0.816235
805 1 0.122404 0.127686 0.75363
772 1 1.00416 0.0687619 0.819225
915 1 0.559955 0.00296863 0.938722
519 1 0.184443 -0.00910927 0.559073
652 1 0.253348 0.0640687 0.684763
679 1 0.187708 0.127434 0.687972
683 1 0.310623 0.12224 0.691784
774 1 0.191477 0.0669668 0.748921
778 1 0.314552 0.0636012 0.749903
780 1 0.251788 0.0606666 0.812188
807 1 0.190384 0.121301 0.814232
809 1 0.249848 0.124207 0.755063
811 1 0.313599 0.131145 0.81265
1053 1 0.880147 0.490422 1.0069
1933 1 0.379073 0.501022 0.874506
1667 1 0.0648859 0.500747 0.68688
656 1 0.382271 0.0627836 0.676605
687 1 0.43787 0.124528 0.683629
782 1 0.440445 0.0614457 0.74378
784 1 0.378527 0.0638554 0.813454
813 1 0.377069 0.129557 0.750245
815 1 0.43392 0.126668 0.811834
817 1 0.496021 0.130501 0.751876
788 1 0.495958 0.067682 0.821056
660 1 0.500691 0.0635231 0.691581
664 1 0.625148 0.0623164 0.690394
691 1 0.560616 0.12605 0.688891
786 1 0.561187 0.0631957 0.759012
792 1 0.625195 0.0619915 0.818201
819 1 0.563644 0.126651 0.814319
821 1 0.623088 0.126598 0.752071
535 1 0.691286 0.00134141 0.560226
990 1 0.946748 0.311087 0.879251
668 1 0.748541 0.0651572 0.691122
695 1 0.688494 0.12412 0.690562
699 1 0.812999 0.126318 0.690873
790 1 0.687037 0.0637855 0.752341
794 1 0.815486 0.0641048 0.754268
796 1 0.750975 0.0652244 0.814181
823 1 0.692757 0.121106 0.816474
825 1 0.753194 0.125212 0.755096
827 1 0.815816 0.128007 0.816598
958 1 0.936756 0.189067 0.87861
964 1 1.00518 0.307707 0.939031
994 1 0.064142 0.436486 0.873443
1691 1 0.808896 0.500912 0.694092
801 1 1.00115 0.122023 0.746438
644 1 0.996425 0.0659065 0.681497
672 1 0.87403 0.0674217 0.690164
703 1 0.93844 0.124577 0.689339
798 1 0.939566 0.0636997 0.746606
800 1 0.874424 0.0654601 0.818716
829 1 0.873557 0.128163 0.753664
831 1 0.933537 0.123992 0.815098
680 1 0.125712 0.183856 0.688334
707 1 0.0606057 0.247923 0.682792
712 1 0.124531 0.307174 0.686383
802 1 0.0583723 0.185823 0.745808
808 1 0.126394 0.188489 0.810823
834 1 0.064089 0.308091 0.748341
835 1 0.0554834 0.244574 0.806071
837 1 0.117743 0.244787 0.746616
840 1 0.120456 0.308784 0.807761
804 1 -0.00649249 0.184962 0.811227
836 1 0.000971131 0.316833 0.812033
833 1 0.999188 0.248977 0.750027
676 1 0.995967 0.181489 0.688514
684 1 0.24745 0.187238 0.685951
711 1 0.185722 0.24804 0.690427
715 1 0.312925 0.249333 0.688948
716 1 0.246378 0.313475 0.683468
806 1 0.186668 0.182163 0.750254
810 1 0.307533 0.192239 0.746639
812 1 0.249342 0.189313 0.807176
838 1 0.183117 0.30728 0.752601
839 1 0.189342 0.244879 0.812941
841 1 0.246804 0.250025 0.746706
842 1 0.32037 0.312974 0.747729
843 1 0.31631 0.254785 0.815557
844 1 0.254387 0.311896 0.810043
688 1 0.376831 0.187691 0.687436
719 1 0.442717 0.253548 0.689523
720 1 0.380616 0.314007 0.682196
814 1 0.436519 0.190436 0.752801
816 1 0.374504 0.188289 0.818978
845 1 0.376884 0.25271 0.745083
846 1 0.437692 0.313277 0.752375
847 1 0.435952 0.252671 0.821449
848 1 0.376395 0.315892 0.814558
724 1 0.498807 0.313279 0.688757
852 1 0.502062 0.314804 0.818081
692 1 0.505519 0.18841 0.687943
849 1 0.501978 0.251614 0.748763
820 1 0.497977 0.192851 0.810848
696 1 0.623583 0.186498 0.683228
723 1 0.564634 0.250542 0.691842
728 1 0.627713 0.310404 0.688208
818 1 0.563563 0.18663 0.75102
824 1 0.627747 0.18218 0.821927
850 1 0.561651 0.315859 0.747374
851 1 0.562338 0.249984 0.809234
853 1 0.629576 0.250992 0.753565
856 1 0.631019 0.313328 0.816407
700 1 0.744943 0.183953 0.695917
727 1 0.687955 0.251329 0.693922
731 1 0.807551 0.245063 0.690058
732 1 0.750494 0.318386 0.684729
822 1 0.684198 0.181005 0.753404
826 1 0.809777 0.194577 0.755911
828 1 0.748606 0.186788 0.810937
854 1 0.688762 0.316043 0.748139
855 1 0.692718 0.250314 0.81436
857 1 0.749115 0.254642 0.754153
858 1 0.811203 0.309358 0.749324
859 1 0.809979 0.247911 0.818871
860 1 0.746212 0.31264 0.812161
708 1 1.00125 0.312259 0.68958
704 1 0.87956 0.192165 0.690935
735 1 0.939809 0.250499 0.686428
736 1 0.874176 0.308407 0.68
830 1 0.936228 0.184718 0.753388
832 1 0.872394 0.189605 0.818815
861 1 0.872665 0.254661 0.746892
862 1 0.938158 0.309703 0.749341
863 1 0.938332 0.24954 0.813898
864 1 0.87309 0.304879 0.814245
1005 1 0.372345 0.376523 0.875702
739 1 0.066964 0.369716 0.686358
744 1 0.125845 0.437711 0.685311
866 1 0.0584013 0.440385 0.747779
867 1 0.0585787 0.377739 0.806291
869 1 0.125693 0.374197 0.743293
872 1 0.125656 0.434444 0.814931
865 1 0.997626 0.376724 0.747026
740 1 0.998862 0.436218 0.687237
743 1 0.186784 0.376839 0.686499
747 1 0.312185 0.36811 0.67958
748 1 0.251346 0.436798 0.68547
870 1 0.18667 0.435758 0.748506
871 1 0.185648 0.376315 0.804861
873 1 0.251924 0.372342 0.741554
874 1 0.316103 0.435145 0.746005
875 1 0.314533 0.376668 0.812755
876 1 0.253255 0.43484 0.807277
1020 1 0.757524 0.439004 0.93935
751 1 0.442692 0.376365 0.682044
752 1 0.377857 0.433119 0.681883
877 1 0.375791 0.375459 0.747118
878 1 0.440166 0.435229 0.748558
879 1 0.441228 0.376954 0.815383
880 1 0.377109 0.433026 0.818929
881 1 0.497237 0.377221 0.744318
884 1 0.502473 0.440294 0.814457
756 1 0.501644 0.437889 0.683695
755 1 0.562233 0.378585 0.686682
760 1 0.622389 0.443601 0.693733
882 1 0.561518 0.434401 0.751978
883 1 0.568747 0.373091 0.817475
885 1 0.623237 0.370562 0.749724
888 1 0.626202 0.441925 0.810593
1019 1 0.814265 0.375477 0.934915
759 1 0.683395 0.380932 0.687335
763 1 0.811626 0.377612 0.694129
764 1 0.741246 0.436623 0.68632
886 1 0.689556 0.438787 0.747395
887 1 0.685338 0.378282 0.812015
889 1 0.750683 0.374587 0.749568
890 1 0.809148 0.440894 0.75171
891 1 0.810737 0.373108 0.81345
892 1 0.751886 0.439707 0.81405
1018 1 0.8089 0.43857 0.87185
932 1 -0.00139067 0.188227 0.934265
960 1 0.873608 0.189582 0.939844
1008 1 0.378646 0.434393 0.942404
1007 1 0.438422 0.376476 0.935622
868 1 -0.00322461 0.429838 0.811978
1017 1 0.749348 0.375384 0.877974
767 1 0.931064 0.36753 0.687908
768 1 0.873003 0.432752 0.691938
893 1 0.872208 0.375758 0.757565
894 1 0.934229 0.438475 0.747136
895 1 0.937075 0.370027 0.810846
896 1 0.870936 0.441832 0.813234
1014 1 0.687353 0.441906 0.875553
1015 1 0.690772 0.378207 0.942622
1012 1 0.500155 0.440277 0.940036
898 1 0.0623248 0.0642602 0.879142
904 1 0.118934 0.0606588 0.942175
931 1 0.0649516 0.122943 0.937379
933 1 0.127568 0.128076 0.874174
929 1 0.0020116 0.127227 0.879112
900 1 0.000759682 0.0580404 0.937114
1006 1 0.442363 0.439766 0.876755
655 1 0.440283 -0.00440078 0.690931
902 1 0.186514 0.0599845 0.879195
906 1 0.312865 0.0577353 0.876842
908 1 0.250388 0.0619363 0.937411
935 1 0.187488 0.120401 0.936534
937 1 0.250578 0.128261 0.873995
939 1 0.306174 0.124009 0.940178
1013 1 0.631858 0.379579 0.877206
1004 1 0.248726 0.438826 0.941135
991 1 0.936328 0.24801 0.938436
998 1 0.192004 0.441633 0.873182
910 1 0.435063 0.0664207 0.877788
912 1 0.371204 0.0613356 0.938753
941 1 0.375281 0.124237 0.877438
943 1 0.435176 0.128495 0.940504
997 1 0.128259 0.373247 0.873797
999 1 0.183635 0.377579 0.93355
1000 1 0.124682 0.437692 0.937206
916 1 0.496021 0.0638796 0.93013
945 1 0.497796 0.131062 0.869381
914 1 0.562106 0.0621735 0.870541
920 1 0.621225 0.0627722 0.935179
947 1 0.555101 0.124235 0.933678
949 1 0.627007 0.123545 0.883042
1003 1 0.314062 0.373484 0.941452
1010 1 0.56777 0.436764 0.878561
918 1 0.685272 0.0617715 0.8761
922 1 0.809491 0.0668833 0.875016
924 1 0.750606 0.0587638 0.936149
951 1 0.686164 0.123329 0.943057
953 1 0.748621 0.128465 0.881093
955 1 0.80936 0.119788 0.943434
954 1 0.813262 0.182569 0.883106
1001 1 0.245843 0.374754 0.873702
992 1 0.875366 0.311137 0.935597
926 1 0.939654 0.0571989 0.874369
928 1 0.875721 0.0579646 0.933855
957 1 0.881501 0.125554 0.88184
959 1 0.940154 0.129154 0.937744
1002 1 0.312477 0.43945 0.879926
1016 1 0.631367 0.437664 0.941382
930 1 0.0631577 0.189292 0.872901
936 1 0.131946 0.18546 0.939778
962 1 0.0609175 0.316977 0.878404
963 1 0.0594037 0.246884 0.938557
965 1 0.121602 0.253437 0.874446
968 1 0.126396 0.315904 0.935129
961 1 0.00618091 0.253252 0.872069
1009 1 0.505048 0.374378 0.881498
659 1 0.564112 0.000313111 0.697867
934 1 0.187702 0.185483 0.877061
938 1 0.310193 0.18682 0.874728
940 1 0.248697 0.192445 0.940741
966 1 0.188006 0.315751 0.871711
967 1 0.185932 0.254188 0.937601
969 1 0.254067 0.250618 0.879714
970 1 0.313372 0.315896 0.880142
971 1 0.308971 0.253453 0.940975
972 1 0.248096 0.318922 0.93818
1665 1 1.00504 0.502219 0.627696
973 1 0.371827 0.246622 0.879983
944 1 0.367218 0.186894 0.940248
942 1 0.434586 0.185436 0.877877
976 1 0.372303 0.309884 0.937771
975 1 0.437151 0.251545 0.936483
974 1 0.436656 0.316681 0.878
980 1 0.499514 0.312311 0.940522
1011 1 0.569355 0.378616 0.94259
977 1 0.499196 0.252373 0.87663
948 1 0.501463 0.188216 0.941911
979 1 0.563463 0.256291 0.939447
978 1 0.568817 0.314161 0.87457
952 1 0.62445 0.190336 0.941478
946 1 0.560133 0.193137 0.877198
984 1 0.632297 0.312627 0.937261
981 1 0.622814 0.248405 0.874814
989 1 0.874215 0.245897 0.878404
995 1 0.0611582 0.379388 0.93988
985 1 0.743129 0.248928 0.880185
950 1 0.690116 0.18858 0.87746
983 1 0.68358 0.244777 0.946425
987 1 0.811481 0.250363 0.93999
956 1 0.750726 0.186112 0.940921
988 1 0.741936 0.312444 0.942305
982 1 0.687216 0.311794 0.87762
986 1 0.814728 0.308126 0.87866
1685 1 0.6295 0.493627 0.619179
1543 1 0.187167 0.501426 0.563635
643 1 0.0602964 0.00475864 0.684338
641 1 0.997968 0.00494186 0.623149
909 1 0.377731 -0.00170585 0.873262
1921 1 1.0057 0.496602 0.868729
1551 1 0.44039 0.495161 0.561508
1693 1 0.873414 0.494796 0.625838
667 1 0.812774 0.00453597 0.688845
1673 1 0.251885 0.497124 0.620386
797 1 0.874212 0.00243609 0.754186
1823 1 0.934529 0.499321 0.807704
1539 1 0.0615874 0.500951 0.55893
539 1 0.816023 0.0048805 0.562021
795 1 0.812928 0.00434707 0.818067
789 1 0.627697 0.00840436 0.753961
651 1 0.319954 0.0025621 0.687941
610 1 0.0589303 0.435337 0.506906
105 1 0.24089 0.374379 1.00066
569 1 0.751551 0.122976 0.503359
622 1 0.443689 0.432758 0.494647
1545 1 0.246696 0.501417 0.500115
45 1 0.371948 0.125041 1.00151
630 1 0.693003 0.438045 0.500933
106 1 0.308707 0.439522 1.00032
1557 1 0.624405 0.499578 0.50257
66 1 0.0629527 0.306414 1.00113
574 1 0.938259 0.188895 0.50279
617 1 0.251624 0.372984 0.498373
1549 1 0.382075 0.496172 0.497808
549 1 0.12002 0.124954 0.504357
109 1 0.377409 0.370399 0.999678
22 1 0.689833 0.0552659 0.996218
538 1 0.809879 0.0612325 0.501937
530 1 0.563769 0.0647628 0.496823
565 1 0.633057 0.120381 0.501727
534 1 0.684511 0.0590615 0.499053
94 1 0.940736 0.316053 0.996672
554 1 0.311841 0.18481 0.493428
605 1 0.869494 0.248031 0.503454
545 1 0.000836314 0.12669 0.50278
561 1 0.500815 0.130687 0.499463
562 1 0.562096 0.192935 0.501964
594 1 0.570494 0.310475 0.499598
70 1 0.187414 0.314215 0.995436
638 1 0.933817 0.441414 0.507004
613 1 0.122757 0.37728 0.507067
553 1 0.252168 0.122383 0.508927
529 1 0.498064 0.00196686 0.499332
598 1 0.688452 0.31158 0.505736
626 1 0.56153 0.432213 0.497876
589 1 0.377595 0.251464 0.500018
581 1 0.126411 0.253789 0.501567
597 1 0.632957 0.249846 0.506381
522 1 0.309035 0.0629851 0.498933
618 1 0.316785 0.43753 0.50408
25 1 0.749943 -0.00168218 0.997284
17 1 0.49784 0.000533077 0.998945
1032 1 0.121715 0.567841 0.0581706
1059 1 0.0616712 0.632312 0.0590649
1154 1 0.0668507 0.564922 0.128135
1189 1 0.12706 0.624978 0.125792
1303 1 0.686887 0.498546 0.314272
1036 1 0.250307 0.561842 0.0534581
1063 1 0.180995 0.626577 0.0572035
1067 1 0.310624 0.623542 0.0587446
1158 1 0.18258 0.560827 0.121246
1162 1 0.308894 0.561083 0.121626
1193 1 0.246429 0.621927 0.122397
1173 1 0.621947 0.505216 0.12766
1629 1 0.875252 0.754415 0.498359
1102 1 0.431371 0.811515 -0.00203503
1040 1 0.376473 0.561546 0.0713141
1071 1 0.436994 0.631784 0.0608481
1166 1 0.435664 0.574914 0.127145
1197 1 0.371056 0.634962 0.125361
1201 1 0.495674 0.624502 0.123397
1044 1 0.492512 0.562788 0.0683873
1047 1 0.68566 0.507362 0.0642785
517 1 0.121843 0.999391 0.500467
1546 1 0.316595 0.558534 0.50038
1048 1 0.618157 0.563253 0.0658057
1075 1 0.560056 0.619988 0.0637044
1170 1 0.553979 0.563105 0.130893
1205 1 0.620652 0.62695 0.125706
133 1 0.129687 0.996889 0.130186
1052 1 0.759816 0.570334 0.0602691
1079 1 0.686675 0.625583 0.0662786
1083 1 0.824588 0.627803 0.0653205
1174 1 0.690572 0.562662 0.132245
1178 1 0.813236 0.561508 0.119607
1209 1 0.751394 0.625113 0.12683
1281 1 1.00264 0.498659 0.24712
415 1 0.940064 1.00001 0.440506
1185 1 0.00563966 0.632158 0.125392
1028 1 0.00406876 0.566774 0.066571
1056 1 0.878185 0.564284 0.0647284
1087 1 0.937085 0.628354 0.0647682
1182 1 0.944624 0.559645 0.122583
1213 1 0.87754 0.629943 0.12905
1045 1 0.626538 0.502703 0.00472309
1042 1 0.557895 0.565848 -4.2701e-05
1085 1 0.879041 0.628087 -0.00349504
1064 1 0.120961 0.693895 0.0592766
1091 1 0.06427 0.753337 0.0686125
1096 1 0.127912 0.811978 0.0604893
1186 1 0.0636492 0.694901 0.124809
1218 1 0.0650339 0.816282 0.124318
1221 1 0.123373 0.753015 0.122607
1092 1 1.00294 0.817077 0.0630367
1217 1 -0.000805195 0.75495 0.126156
1060 1 0.00126228 0.690008 0.0632966
1586 1 0.563567 0.690822 0.496718
261 1 0.122902 1.00619 0.251651
1605 1 0.128644 0.749996 0.499853
1068 1 0.245016 0.686358 0.0632761
1095 1 0.188588 0.753489 0.0615379
1099 1 0.312404 0.750153 0.0625773
1100 1 0.257501 0.815589 0.0634385
1190 1 0.187525 0.684084 0.124199
1194 1 0.307564 0.686689 0.122865
1222 1 0.188318 0.817391 0.126886
1225 1 0.252275 0.748299 0.121161
1226 1 0.314937 0.808751 0.132515
1183 1 0.943527 0.503742 0.188071
159 1 0.934929 0.997384 0.19163
1577 1 0.249622 0.623964 0.497687
1072 1 0.374436 0.688799 0.0597274
1103 1 0.429683 0.748748 0.060813
1104 1 0.373338 0.815769 0.062906
1198 1 0.437623 0.686373 0.126556
1229 1 0.377494 0.745402 0.126998
1230 1 0.433103 0.815047 0.129973
1076 1 0.498948 0.690233 0.0619703
1283 1 0.060422 0.498188 0.311456
1233 1 0.498495 0.744624 0.129327
1108 1 0.488201 0.807763 0.0638636
1080 1 0.622932 0.686512 0.0619411
1107 1 0.559558 0.755266 0.0617867
1112 1 0.624624 0.812892 0.062648
1202 1 0.561138 0.683853 0.126457
1234 1 0.551942 0.809339 0.125371
1237 1 0.620598 0.751361 0.124696
1121 1 0.00222625 0.87474 -0.00380614
1653 1 0.621082 0.876555 0.502236
1084 1 0.751101 0.688458 0.0621534
1111 1 0.690671 0.746166 0.0587766
1115 1 0.808717 0.755329 0.0591742
1116 1 0.745896 0.811557 0.0679755
1206 1 0.689732 0.69046 0.126955
1210 1 0.812617 0.690122 0.122513
1238 1 0.685509 0.813125 0.123392
1241 1 0.746 0.747968 0.125197
1242 1 0.813708 0.814098 0.120523
1293 1 0.366437 0.501874 0.250438
1425 1 0.501839 0.498269 0.373598
1088 1 0.872866 0.690598 0.0618325
1119 1 0.94286 0.749331 0.0666618
1120 1 0.874339 0.812162 0.0577234
1214 1 0.939711 0.688254 0.124692
1245 1 0.875113 0.753353 0.127667
1246 1 0.934144 0.817553 0.124331
1307 1 0.817828 0.501377 0.311828
131 1 0.0615363 0.997756 0.186416
1077 1 0.628349 0.629333 0.0031508
1566 1 0.936575 0.564584 0.503887
1123 1 0.0644805 0.875521 0.0628198
1128 1 0.126806 0.937585 0.0666707
1250 1 0.0679056 0.935841 0.127669
1253 1 0.131115 0.875295 0.122201
1249 1 1.00515 0.879547 0.122952
1533 1 0.881335 0.873469 0.374849
1534 1 0.940824 0.939057 0.376195
1175 1 0.687935 0.504504 0.191872
1535 1 0.943041 0.875542 0.43515
1437 1 0.876973 0.500721 0.380491
413 1 0.879143 1.00133 0.379559
1127 1 0.186066 0.875013 0.0612147
1131 1 0.312193 0.878664 0.0588556
1132 1 0.248783 0.935129 0.0608904
1254 1 0.190455 0.934945 0.129257
1257 1 0.254604 0.872662 0.126508
1258 1 0.312866 0.938911 0.125445
1051 1 0.816155 0.49904 0.0629992
1536 1 0.87725 0.936287 0.440134
1135 1 0.438942 0.8733 0.0627346
1136 1 0.374587 0.937643 0.0655574
1261 1 0.370496 0.875887 0.127913
1262 1 0.439128 0.93388 0.125012
1140 1 0.507943 0.934898 0.0635214
1508 1 1.00509 0.935257 0.439047
1265 1 0.498689 0.875527 0.127143
1139 1 0.561208 0.868516 0.0677095
1144 1 0.618581 0.936126 0.0606493
1266 1 0.565271 0.937027 0.132392
1269 1 0.621961 0.872361 0.127206
3 1 0.0639591 0.991686 0.0643275
1309 1 0.882284 0.498878 0.251772
1574 1 0.192255 0.689824 0.499608
1291 1 0.313018 0.500621 0.318242
1143 1 0.681852 0.874426 0.0654438
1147 1 0.804714 0.877641 0.0584946
1148 1 0.746199 0.94011 0.0589346
1270 1 0.682049 0.935619 0.121647
1273 1 0.74752 0.878423 0.122561
1274 1 0.808199 0.942216 0.121547
279 1 0.68551 1.00126 0.312557
129 1 0.996903 0.993736 0.124855
1124 1 0.999152 0.937574 0.0561965
1151 1 0.936 0.872348 0.0578794
1152 1 0.870815 0.940113 0.0551809
1277 1 0.869429 0.872687 0.12394
1278 1 0.929386 0.939536 0.124844
1609 1 0.255309 0.747883 0.502076
1637 1 0.130453 0.873371 0.50203
1638 1 0.179995 0.93641 0.49511
1570 1 0.0573561 0.684387 0.498821
1526 1 0.687828 0.937728 0.371948
1160 1 0.126535 0.558021 0.185438
1187 1 0.0625849 0.627249 0.185935
1282 1 0.0668974 0.562065 0.248558
1288 1 0.12167 0.560324 0.312224
1315 1 0.0706615 0.624181 0.313929
1317 1 0.130958 0.62377 0.24505
1284 1 0.00583151 0.56208 0.311712
1313 1 0.007804 0.626392 0.246614
1156 1 0.00325178 0.560362 0.190504
1164 1 0.248346 0.562304 0.18593
1191 1 0.185545 0.615842 0.186141
1195 1 0.309533 0.629962 0.188631
1286 1 0.190109 0.559101 0.2482
1290 1 0.307518 0.566744 0.247822
1292 1 0.24783 0.559053 0.31428
1319 1 0.188528 0.626011 0.306953
1321 1 0.251783 0.628622 0.250871
1323 1 0.308972 0.626553 0.314718
1301 1 0.620955 0.500173 0.24822
1168 1 0.372323 0.568245 0.185107
1199 1 0.441574 0.629817 0.192618
1294 1 0.434733 0.563222 0.251903
1296 1 0.36959 0.566993 0.310323
1325 1 0.372018 0.626694 0.254867
1327 1 0.439468 0.624887 0.313214
1172 1 0.496074 0.560856 0.189455
1300 1 0.502 0.563502 0.312809
1329 1 0.504016 0.626479 0.254757
1176 1 0.619255 0.567381 0.185008
1203 1 0.559547 0.625154 0.190205
1298 1 0.56322 0.561931 0.247879
1304 1 0.627577 0.560903 0.313331
1331 1 0.561998 0.62292 0.317784
1333 1 0.621152 0.625519 0.254165
1527 1 0.688257 0.879298 0.439768
1529 1 0.756309 0.875139 0.382016
1180 1 0.752097 0.566632 0.189051
1207 1 0.685926 0.625369 0.191161
1211 1 0.81425 0.631948 0.191688
1302 1 0.682449 0.56371 0.250367
1306 1 0.816242 0.556228 0.250204
1308 1 0.750756 0.558764 0.315113
1335 1 0.688926 0.622243 0.320634
1337 1 0.744045 0.624396 0.255784
1339 1 0.811534 0.623805 0.312182
1562 1 0.816823 0.567625 0.502108
1530 1 0.813764 0.934873 0.378408
1589 1 0.623979 0.627296 0.499207
1184 1 0.8822 0.567041 0.183521
1215 1 0.944192 0.627492 0.188116
1310 1 0.942895 0.561307 0.2488
1312 1 0.871949 0.564178 0.317006
1341 1 0.879107 0.625579 0.25412
1343 1 0.947007 0.621961 0.307385
1192 1 0.131115 0.683966 0.183892
1219 1 0.0674389 0.754704 0.186592
1224 1 0.126161 0.813969 0.186523
1314 1 0.0680224 0.692986 0.243581
1320 1 0.126281 0.68697 0.30416
1346 1 0.0571668 0.810959 0.24972
1347 1 0.0632005 0.746613 0.308281
1349 1 0.129488 0.747931 0.249182
1352 1 0.127164 0.809826 0.314396
1188 1 0.00507888 0.690892 0.186988
1345 1 0.00119322 0.751227 0.244817
1196 1 0.247488 0.688214 0.19084
1223 1 0.18768 0.750946 0.182794
1227 1 0.309612 0.744724 0.186045
1228 1 0.251547 0.815544 0.184866
1318 1 0.186781 0.6868 0.246305
1322 1 0.309913 0.693617 0.253738
1324 1 0.248787 0.688404 0.313608
1350 1 0.185313 0.818744 0.245398
1351 1 0.194534 0.75138 0.306693
1353 1 0.247522 0.752039 0.24131
1354 1 0.311966 0.808804 0.250631
1355 1 0.318769 0.749812 0.319295
1356 1 0.255141 0.811673 0.309447
1200 1 0.373618 0.689974 0.191056
1231 1 0.438985 0.748685 0.189063
1232 1 0.374066 0.809357 0.188052
1326 1 0.442114 0.68661 0.252265
1328 1 0.368889 0.68516 0.313499
1357 1 0.37505 0.750256 0.2486
1358 1 0.435675 0.809763 0.249417
1359 1 0.436239 0.754246 0.309111
1360 1 0.373417 0.811788 0.316779
1332 1 0.500049 0.685031 0.309796
1364 1 0.493384 0.811419 0.314839
1236 1 0.493758 0.812526 0.18729
1361 1 0.50298 0.750074 0.254949
1204 1 0.500542 0.686042 0.193227
1208 1 0.626463 0.687101 0.1895
1235 1 0.561809 0.743136 0.190024
1240 1 0.624091 0.813931 0.190819
1330 1 0.558909 0.682731 0.254824
1336 1 0.621751 0.687577 0.317314
1362 1 0.561151 0.809282 0.24729
1363 1 0.560923 0.751605 0.313449
1365 1 0.620337 0.746647 0.25373
1368 1 0.619167 0.811617 0.312153
1212 1 0.749953 0.689576 0.190487
1239 1 0.684874 0.750061 0.19079
1243 1 0.810815 0.750069 0.180552
1244 1 0.740926 0.812283 0.185744
1334 1 0.681465 0.684111 0.258028
1338 1 0.813945 0.686986 0.255509
1340 1 0.750426 0.682372 0.313888
1366 1 0.68451 0.809603 0.250364
1367 1 0.68515 0.75078 0.317402
1369 1 0.749066 0.748293 0.249999
1370 1 0.809101 0.811979 0.24609
1371 1 0.808129 0.753293 0.311989
1372 1 0.745064 0.815517 0.312779
1220 1 0.997129 0.81781 0.184856
1348 1 -0.00222909 0.812497 0.310994
1316 1 1.00169 0.688033 0.313816
1216 1 0.884783 0.686724 0.188919
1247 1 0.938346 0.754136 0.184036
1248 1 0.870493 0.810986 0.185505
1342 1 0.940497 0.697332 0.24778
1344 1 0.87516 0.690957 0.313535
1373 1 0.876843 0.752874 0.246913
1374 1 0.937188 0.815144 0.245444
1375 1 0.934454 0.75563 0.311306
1376 1 0.876809 0.816196 0.314339
1531 1 0.815934 0.880372 0.438833
1251 1 0.063532 0.8739 0.186984
1256 1 0.121762 0.937233 0.196024
1378 1 0.0574043 0.936701 0.250249
1379 1 0.0597172 0.873829 0.316658
1381 1 0.116849 0.875623 0.252252
1384 1 0.125787 0.938801 0.310536
1380 1 1.00136 0.943533 0.315823
1252 1 -0.00719188 0.933372 0.188372
1377 1 0.000626505 0.874252 0.252552
1532 1 0.749315 0.937218 0.439146
521 1 0.251074 0.998802 0.499269
1171 1 0.559622 0.503346 0.185738
283 1 0.814911 0.999185 0.309557
1255 1 0.18963 0.877231 0.189236
1259 1 0.313979 0.873929 0.189178
1260 1 0.247089 0.940716 0.18969
1382 1 0.188948 0.939913 0.25003
1383 1 0.188957 0.88221 0.308799
1385 1 0.25237 0.873644 0.250073
1386 1 0.311225 0.936164 0.248267
1387 1 0.316593 0.877136 0.308029
1388 1 0.247721 0.938262 0.307538
1601 1 1.00287 0.745976 0.499002
1523 1 0.562289 0.877394 0.434541
1528 1 0.62368 0.936603 0.436911
1263 1 0.437507 0.871587 0.19179
1264 1 0.373388 0.935549 0.188737
1389 1 0.371978 0.870534 0.249594
1390 1 0.43236 0.932902 0.249249
1391 1 0.431744 0.87349 0.314904
1392 1 0.367343 0.943442 0.310988
1268 1 0.49613 0.942611 0.192611
1396 1 0.498309 0.940553 0.312688
1393 1 0.495566 0.873869 0.254638
1267 1 0.55879 0.875119 0.189005
1272 1 0.626573 0.938225 0.193183
1394 1 0.561531 0.936594 0.256259
1395 1 0.560652 0.877109 0.312856
1397 1 0.613699 0.872482 0.25069
1400 1 0.621341 0.936871 0.314367
1525 1 0.627109 0.876284 0.375568
1271 1 0.683787 0.874683 0.19115
1275 1 0.805979 0.87157 0.183801
1276 1 0.748843 0.937192 0.184868
1398 1 0.683795 0.93504 0.25202
1399 1 0.682418 0.868532 0.310272
1401 1 0.747778 0.8721 0.248649
1402 1 0.806683 0.933345 0.243771
1403 1 0.809781 0.870982 0.31444
1404 1 0.750575 0.942409 0.311777
1522 1 0.568476 0.938155 0.37469
1279 1 0.936667 0.879047 0.183324
1280 1 0.869915 0.934088 0.183769
1405 1 0.869442 0.876882 0.247866
1406 1 0.935316 0.934466 0.25651
1407 1 0.937645 0.878023 0.314223
1408 1 0.869478 0.930122 0.312236
1618 1 0.558346 0.818018 0.495463
409 1 0.751877 0.997656 0.376386
1305 1 0.751083 0.503607 0.25313
31 1 0.938918 0.993971 0.0595803
1521 1 0.499042 0.872796 0.378732
1410 1 0.0611685 0.558666 0.37236
1416 1 0.124895 0.55738 0.4352
1443 1 0.0585368 0.619816 0.436514
1445 1 0.128295 0.623593 0.376054
1412 1 -0.00511925 0.559094 0.434686
1518 1 0.429338 0.934582 0.374578
1520 1 0.368746 0.93849 0.434462
1420 1 0.249614 0.559223 0.440058
1451 1 0.310651 0.622121 0.437585
1449 1 0.254881 0.627728 0.377366
1447 1 0.190128 0.623913 0.431953
1414 1 0.182718 0.559378 0.375554
1418 1 0.309217 0.562676 0.377359
1287 1 0.185557 0.496251 0.315317
1513 1 0.24923 0.871408 0.377254
1519 1 0.438981 0.875852 0.437862
1453 1 0.371147 0.623254 0.373739
1424 1 0.376015 0.560756 0.435194
1455 1 0.440931 0.627496 0.434591
1422 1 0.434185 0.564586 0.375465
1457 1 0.499021 0.621627 0.375451
399 1 0.435781 0.998262 0.435986
285 1 0.873823 0.991237 0.249447
1515 1 0.309767 0.871154 0.438312
1428 1 0.499274 0.559046 0.436223
1461 1 0.627532 0.62128 0.377358
1426 1 0.561017 0.563377 0.380348
1432 1 0.624385 0.558574 0.439741
1459 1 0.564936 0.629283 0.433041
1516 1 0.243371 0.941488 0.436029
1439 1 0.936035 0.501341 0.442321
1465 1 0.749842 0.6271 0.376215
1467 1 0.818775 0.625488 0.43319
1430 1 0.688356 0.560756 0.377042
1434 1 0.812255 0.56429 0.371967
1436 1 0.752582 0.560079 0.43764
1463 1 0.6852 0.625221 0.434697
1441 1 0.00271455 0.622554 0.37461
1471 1 0.938708 0.63051 0.43707
1438 1 0.938892 0.566292 0.376081
1440 1 0.875538 0.565926 0.440249
1469 1 0.878442 0.629384 0.377523
1517 1 0.369907 0.873471 0.376734
1476 1 -0.00205133 0.813843 0.438686
1444 1 1.00295 0.69014 0.432799
1442 1 0.0594544 0.686268 0.376092
1480 1 0.125826 0.807929 0.433515
1448 1 0.122875 0.687167 0.439435
1474 1 0.0628083 0.803157 0.368584
1475 1 0.0626622 0.747058 0.435888
1477 1 0.127658 0.74637 0.374414
27 1 0.812492 0.996393 0.0573933
1514 1 0.304735 0.936493 0.374044
1483 1 0.313317 0.753826 0.439837
1484 1 0.251557 0.810212 0.433527
1478 1 0.188966 0.809655 0.373595
1481 1 0.253348 0.754507 0.37018
1482 1 0.314378 0.813887 0.374181
1479 1 0.186687 0.747945 0.43732
1450 1 0.312347 0.687888 0.375176
1452 1 0.246967 0.692478 0.433
1446 1 0.184662 0.685646 0.372736
387 1 0.059819 0.996559 0.444224
1510 1 0.189233 0.939003 0.371997
1485 1 0.373222 0.751334 0.381681
1487 1 0.439064 0.747618 0.438346
1488 1 0.374672 0.818554 0.43901
1454 1 0.433267 0.689598 0.374128
1486 1 0.432846 0.811075 0.375356
1456 1 0.370856 0.682 0.436742
1492 1 0.495949 0.809054 0.435028
157 1 0.86951 1.00007 0.122763
1511 1 0.186527 0.872679 0.433213
1554 1 0.562263 0.562083 0.498531
1460 1 0.50128 0.687409 0.433488
1490 1 0.564563 0.816574 0.377383
1464 1 0.627441 0.693265 0.433895
1496 1 0.626276 0.816663 0.44033
1493 1 0.621618 0.756969 0.376451
1491 1 0.560487 0.750884 0.436007
1489 1 0.495182 0.747261 0.374968
1458 1 0.56136 0.687997 0.373122
15 1 0.43886 0.99837 0.0661381
145 1 0.502061 0.998971 0.126287
1524 1 0.498596 0.942905 0.435549
1311 1 0.939826 0.505939 0.311161
1177 1 0.755036 0.503349 0.122794
1500 1 0.752654 0.816531 0.439862
1462 1 0.683735 0.689609 0.372878
1466 1 0.814883 0.695254 0.371277
1495 1 0.689798 0.751189 0.440071
1494 1 0.689714 0.817538 0.375928
1497 1 0.752119 0.75071 0.371818
1499 1 0.81757 0.753319 0.442051
1498 1 0.816359 0.816792 0.376829
1468 1 0.758943 0.689901 0.435008
141 1 0.37926 0.996956 0.125584
1501 1 0.875586 0.757677 0.374581
1502 1 0.937234 0.813755 0.377404
1472 1 0.879784 0.689667 0.435922
1503 1 0.940379 0.752745 0.437804
1504 1 0.874789 0.813964 0.44151
1473 1 0.998996 0.748867 0.377621
1470 1 0.935574 0.694226 0.375132
1027 1 0.0630402 0.505923 0.0647134
1505 1 0.00163839 0.865616 0.37522
1512 1 0.122327 0.93801 0.434384
1507 1 0.0651597 0.874576 0.433315
1506 1 0.0623006 0.935816 0.371439
1509 1 0.12684 0.872495 0.370074
23 1 0.681281 1.00332 0.0594739
1581 1 0.376718 0.620121 0.496259
1138 1 0.55985 0.939291 -0.00527113
1179 1 0.817582 0.505416 0.181763
1409 1 0.998398 0.498384 0.375285
143 1 0.434076 0.996829 0.186154
1169 1 0.491819 0.499414 0.128149
1617 1 0.507275 0.751725 0.5037
1181 1 0.877898 0.505283 0.122545
1035 1 0.303984 0.50144 0.0598503
139 1 0.311676 1.00027 0.191663
1435 1 0.814263 0.499071 0.435391
1558 1 0.688104 0.564027 0.494503
281 1 0.746327 0.998349 0.245585
7 1 0.187342 0.997578 0.0612022
401 1 0.500298 0.998467 0.375144
1041 1 0.497624 0.500507 0.0027068
149 1 0.622862 1.00579 0.125069
11 1 0.312364 0.994636 0.0589504
407 1 0.689776 0.998976 0.43672
1157 1 0.124453 0.499193 0.123292
1625 1 0.754245 0.751947 0.499718
1133 1 0.379333 0.87645 0.00433359
1630 1 0.939589 0.818684 0.497831
1602 1 0.0624248 0.80829 0.496981
1118 1 0.945462 0.813824 0.0028551
1606 1 0.191759 0.809705 0.495776
1578 1 0.314001 0.68385 0.496994
1654 1 0.68549 0.936014 0.501924
1590 1 0.690937 0.689704 0.496772
1597 1 0.874596 0.625219 0.502794
1649 1 0.501961 0.87894 0.497578
1086 1 0.943626 0.692214 -0.00210998
1050 1 0.821328 0.561013 0.00402726
1593 1 0.750899 0.625729 0.49321
1641 1 0.250538 0.871392 0.494655
1101 1 0.374015 0.751625 -0.00503186
1569 1 0.000439008 0.616241 0.495876
1117 1 0.874925 0.752791 0.00135664
1585 1 0.498932 0.624482 0.494888
1582 1 0.439247 0.691173 0.495928
1122 1 0.0613826 0.934935 -0.00411627
1594 1 0.813257 0.685659 0.499193
537 1 0.750446 1.003 0.502718
1062 1 0.185078 0.690943 -0.000245368
1090 1 0.0648525 0.816219 0.00915597
1134 1 0.439022 0.938354 0.00250492
1565 1 0.874667 0.507588 0.500929
1073 1 0.49627 0.630764 0.00113541
1034 1 0.316371 0.562343 0.00231866
1074 1 0.561711 0.69066 -0.00303642
1029 1 0.124776 0.501807 -0.0011992
1125 1 0.124445 0.875274 0.000452497
1097 1 0.249183 0.74711 0.00546758
1646 1 0.440972 0.934649 0.498205
1094 1 0.188996 0.811667 -0.00309176
1046 1 0.688175 0.5659 0.00168993
533 1 0.629569 0.999487 0.500569
1642 1 0.308214 0.936802 0.497924
1561 1 0.753588 0.508058 0.50157
1037 1 0.375002 0.497151 0.00203905
1544 1 0.133447 0.564449 0.562189
1571 1 0.0646566 0.620318 0.557352
1666 1 0.060153 0.562098 0.619907
1701 1 0.124849 0.618741 0.624188
1540 1 0.999379 0.564449 0.564047
1089 1 0.0092556 0.751752 0.999647
543 1 0.937682 1.00057 0.565929
1626 1 0.810945 0.819892 0.501923
1548 1 0.254086 0.561466 0.564433
1575 1 0.192699 0.622116 0.563968
1579 1 0.319346 0.620002 0.560847
1670 1 0.194754 0.56137 0.621976
1674 1 0.316945 0.558397 0.621505
1705 1 0.249582 0.62051 0.625002
665 1 0.750057 1.00272 0.627789
787 1 0.556509 0.999525 0.812686
1945 1 0.748936 0.508214 0.872051
1552 1 0.379749 0.561068 0.561698
1583 1 0.444072 0.628255 0.56081
1678 1 0.440255 0.557738 0.624733
1709 1 0.378092 0.623257 0.621349
1713 1 0.504357 0.627914 0.622961
1556 1 0.50313 0.565516 0.556891
5 1 0.121442 0.997591 1.0034
649 1 0.258422 1.00202 0.627106
1542 1 0.189079 0.563436 0.499143
1560 1 0.628424 0.563608 0.561023
1587 1 0.562177 0.627014 0.556307
1682 1 0.560294 0.562965 0.622431
1717 1 0.624671 0.623783 0.615322
2020 1 0.000863728 0.934337 0.938129
2045 1 0.875019 0.874272 0.876578
1126 1 0.185089 0.936479 0.998429
1110 1 0.689663 0.813515 1.00335
785 1 0.500901 0.997086 0.748589
1137 1 0.503442 0.872045 1.00092
2046 1 0.942066 0.930309 0.877995
1564 1 0.75395 0.570179 0.565234
1591 1 0.694451 0.628956 0.5575
1595 1 0.813989 0.628531 0.561198
1686 1 0.689409 0.561277 0.619258
1690 1 0.814444 0.563848 0.625658
1721 1 0.750695 0.625326 0.625561
1538 1 0.0584311 0.557696 0.497014
1559 1 0.69123 0.506397 0.552585
2047 1 0.932282 0.873175 0.935241
531 1 0.562015 0.996847 0.560289
1697 1 0.996887 0.627351 0.624838
1568 1 0.880656 0.559646 0.56448
1599 1 0.936122 0.63359 0.561708
1694 1 0.937673 0.564325 0.630537
1725 1 0.875527 0.631788 0.626377
1671 1 0.184229 0.500444 0.69033
1681 1 0.504575 0.501505 0.623992
917 1 0.623832 0.997916 0.878155
2048 1 0.874445 0.938379 0.932399
1576 1 0.125209 0.681267 0.560457
1603 1 0.0683837 0.751514 0.56336
1608 1 0.128158 0.815593 0.561894
1698 1 0.0656035 0.681206 0.621456
1730 1 0.064919 0.811165 0.625158
1733 1 0.127084 0.741582 0.621914
1572 1 0.000794183 0.685282 0.558283
1604 1 0.00350272 0.810224 0.561377
1811 1 0.562375 0.503329 0.812415
671 1 0.937286 0.99984 0.686299
1662 1 0.9407 0.934756 0.501228
1580 1 0.249634 0.688392 0.563032
1607 1 0.191583 0.751072 0.559473
1611 1 0.313616 0.748409 0.562293
1612 1 0.253374 0.809825 0.560585
1702 1 0.190176 0.688268 0.622708
1706 1 0.306041 0.688041 0.622683
1734 1 0.192714 0.812085 0.621464
1737 1 0.252952 0.749426 0.623536
1738 1 0.319707 0.805484 0.625552
1149 1 0.870459 0.878182 0.994714
1687 1 0.688264 0.500562 0.683708
1584 1 0.374766 0.688335 0.551848
1615 1 0.439381 0.749817 0.560173
1616 1 0.374465 0.810478 0.559825
1710 1 0.434519 0.684502 0.618618
1741 1 0.376268 0.746955 0.620297
1742 1 0.436238 0.807579 0.624285
1620 1 0.497616 0.812345 0.558024
799 1 0.943184 0.998446 0.813568
1588 1 0.499529 0.691119 0.558674
1745 1 0.500429 0.750488 0.623042
1592 1 0.626863 0.6922 0.56052
1619 1 0.563963 0.757713 0.560905
1624 1 0.630053 0.810659 0.562348
1714 1 0.562286 0.687974 0.622654
1746 1 0.565916 0.813237 0.627399
1749 1 0.624667 0.754438 0.621528
1596 1 0.751488 0.688853 0.55813
1623 1 0.694306 0.748452 0.560733
1627 1 0.80824 0.754493 0.561851
1628 1 0.753852 0.816664 0.564267
1718 1 0.684269 0.68848 0.623161
1722 1 0.806804 0.687811 0.624449
1750 1 0.691281 0.816123 0.623048
1753 1 0.743573 0.752031 0.626269
1754 1 0.812479 0.810152 0.624459
897 1 0.00395908 0.99722 0.876938
1058 1 0.0632007 0.688635 0.992157
1729 1 0.998461 0.742309 0.6236
1600 1 0.872136 0.690492 0.565375
1631 1 0.937396 0.749965 0.565498
1632 1 0.874713 0.816162 0.55887
1726 1 0.93298 0.68805 0.623701
1757 1 0.874326 0.752917 0.619809
1758 1 0.936213 0.81463 0.625085
907 1 0.314407 0.997684 0.936342
541 1 0.876224 0.996557 0.497835
1635 1 0.0633006 0.872804 0.564593
1640 1 0.124442 0.931566 0.564762
1762 1 0.0644993 0.940607 0.628306
1765 1 0.12297 0.87447 0.628351
1761 1 -0.00249914 0.871997 0.622248
783 1 0.437328 1.00319 0.80877
1807 1 0.438902 0.497491 0.812607
653 1 0.375685 0.997082 0.622285
1639 1 0.196307 0.873668 0.55734
1643 1 0.310891 0.872998 0.558296
1644 1 0.24813 0.937161 0.561104
1766 1 0.19348 0.933046 0.624211
1769 1 0.254392 0.871717 0.623237
1770 1 0.320446 0.931077 0.6243
2038 1 0.683238 0.938508 0.879905
911 1 0.433256 0.997959 0.931586
1813 1 0.626061 0.502571 0.751615
1541 1 0.130418 0.499241 0.502822
1647 1 0.440957 0.87592 0.557155
1648 1 0.375681 0.933441 0.555439
1773 1 0.379953 0.874255 0.623655
1774 1 0.438453 0.939619 0.625629
1652 1 0.49587 0.939341 0.560899
1777 1 0.498857 0.879322 0.627146
1931 1 0.312058 0.498006 0.935586
13 1 0.377136 0.996827 1.00082
1145 1 0.740595 0.878605 0.993973
1651 1 0.564603 0.874311 0.561279
1656 1 0.626993 0.940393 0.563673
1778 1 0.563274 0.93634 0.625095
1781 1 0.624357 0.876953 0.62632
1661 1 0.877753 0.881023 0.502267
1129 1 0.257532 0.873075 1.00029
901 1 0.123328 0.994839 0.876723
1655 1 0.684507 0.878361 0.566495
1659 1 0.809579 0.876813 0.563256
1660 1 0.750382 0.939681 0.564861
1782 1 0.686473 0.940953 0.625593
1785 1 0.7491 0.885203 0.629631
1786 1 0.817073 0.940061 0.623636
2039 1 0.686448 0.874831 0.933646
2041 1 0.746415 0.877557 0.870894
1636 1 0.00307385 0.938742 0.566645
1663 1 0.939682 0.872022 0.562957
1664 1 0.875413 0.93884 0.56465
1789 1 0.873105 0.876735 0.619914
1790 1 0.935873 0.939546 0.631653
2042 1 0.81398 0.94038 0.868366
1645 1 0.375277 0.877042 0.492675
1672 1 0.125742 0.567474 0.68905
1699 1 0.0650245 0.627186 0.685968
1794 1 0.0634767 0.558739 0.750008
1800 1 0.124067 0.558202 0.808437
1827 1 0.0638958 0.626834 0.816552
1829 1 0.126159 0.625509 0.751375
1796 1 0.00277203 0.557061 0.809037
1668 1 -0.000968911 0.563338 0.690794
1825 1 -0.0035692 0.623789 0.752513
2043 1 0.806807 0.875857 0.932465
1927 1 0.185365 0.496475 0.937041
1573 1 0.124059 0.62239 0.498264
1819 1 0.812783 0.500997 0.814928
1676 1 0.249844 0.559795 0.688387
1703 1 0.188081 0.626839 0.68375
1707 1 0.31741 0.618112 0.681576
1798 1 0.18593 0.558756 0.749725
1802 1 0.310471 0.558985 0.745502
1804 1 0.248855 0.563032 0.809221
1831 1 0.189847 0.623106 0.813037
1833 1 0.250761 0.623821 0.744863
1835 1 0.310986 0.623085 0.809597
1675 1 0.3068 0.500973 0.683339
1547 1 0.311837 0.502402 0.560293
2044 1 0.751878 0.939796 0.930179
1680 1 0.374414 0.556392 0.691071
1711 1 0.436455 0.626449 0.689386
1806 1 0.442528 0.557653 0.747232
1808 1 0.379384 0.55499 0.811114
1837 1 0.378694 0.625046 0.752976
1839 1 0.437135 0.622136 0.8165
1684 1 0.503678 0.567306 0.68819
1812 1 0.499077 0.562895 0.806877
645 1 0.126228 1.00006 0.624336
775 1 0.186714 1.00239 0.814147
925 1 0.883097 0.993309 0.87376
1841 1 0.498988 0.624418 0.74633
1688 1 0.627658 0.564116 0.683416
1715 1 0.568535 0.624808 0.68278
1810 1 0.562426 0.568602 0.751361
1816 1 0.626851 0.56362 0.815728
1843 1 0.560028 0.628879 0.813586
1845 1 0.62536 0.620504 0.749742
1669 1 0.120956 0.502144 0.623355
1692 1 0.750799 0.562636 0.685563
1719 1 0.685386 0.630651 0.686153
1723 1 0.810926 0.625225 0.687565
1814 1 0.68583 0.566877 0.750844
1818 1 0.809576 0.563716 0.753437
1820 1 0.745722 0.566661 0.81427
1847 1 0.684203 0.627273 0.812373
1849 1 0.746243 0.625179 0.749441
1851 1 0.812615 0.626917 0.811308
1817 1 0.745705 0.50449 0.751043
1696 1 0.873175 0.561119 0.691849
1727 1 0.934909 0.627762 0.686009
1822 1 0.931526 0.560455 0.749728
1824 1 0.873473 0.56339 0.809509
1853 1 0.875115 0.625077 0.751275
1855 1 0.935628 0.621296 0.812487
1704 1 0.128353 0.687419 0.687036
1731 1 0.0624458 0.749185 0.680977
1736 1 0.126492 0.809005 0.68228
1826 1 0.0626662 0.687756 0.748832
1832 1 0.126421 0.68845 0.810168
1858 1 0.0579624 0.806499 0.750453
1859 1 0.0606473 0.748772 0.809209
1861 1 0.13064 0.749438 0.748301
1864 1 0.124227 0.806204 0.809976
1700 1 0.995563 0.685984 0.6892
1860 1 0.995019 0.81191 0.809201
1732 1 1.00309 0.810711 0.686971
1708 1 0.250159 0.685853 0.680615
1735 1 0.190362 0.75191 0.684892
1739 1 0.315214 0.747058 0.68696
1740 1 0.25414 0.807774 0.683647
1830 1 0.190069 0.684259 0.74909
1834 1 0.311503 0.684859 0.742192
1836 1 0.249772 0.685546 0.811707
1862 1 0.191032 0.806741 0.74821
1863 1 0.192016 0.748192 0.810913
1865 1 0.252272 0.748536 0.747568
1866 1 0.314758 0.811125 0.74459
1867 1 0.315964 0.750692 0.812291
1868 1 0.250269 0.812055 0.811199
1712 1 0.375727 0.687755 0.68842
1743 1 0.439335 0.745449 0.685267
1744 1 0.379293 0.810855 0.689029
1838 1 0.436331 0.685491 0.750921
1840 1 0.375588 0.683401 0.813939
1869 1 0.37619 0.749875 0.753553
1870 1 0.437795 0.814525 0.751945
1871 1 0.439881 0.750127 0.812518
1872 1 0.372108 0.816812 0.809356
1844 1 0.496822 0.687781 0.810134
1876 1 0.501962 0.815038 0.815758
1748 1 0.497237 0.810692 0.687718
1716 1 0.503429 0.687379 0.685986
1873 1 0.495596 0.754803 0.751711
1720 1 0.623234 0.691168 0.683254
1747 1 0.561822 0.746678 0.688943
1752 1 0.62373 0.809945 0.690518
1842 1 0.564834 0.682752 0.748047
1848 1 0.624805 0.686352 0.809741
1874 1 0.561698 0.815739 0.750216
1875 1 0.558197 0.751414 0.811255
1877 1 0.620116 0.75156 0.752428
1880 1 0.624575 0.813017 0.809978
1724 1 0.749695 0.68847 0.685493
1751 1 0.692576 0.75171 0.691689
1755 1 0.812207 0.749685 0.689627
1756 1 0.749694 0.811715 0.685778
1846 1 0.682914 0.685384 0.746585
1850 1 0.808761 0.689406 0.748818
1852 1 0.750147 0.684627 0.809722
1878 1 0.687442 0.814716 0.75264
1879 1 0.688421 0.745465 0.805799
1881 1 0.750549 0.745269 0.755008
1882 1 0.814445 0.812236 0.749477
1883 1 0.814526 0.747811 0.811441
1884 1 0.750966 0.810878 0.813855
1857 1 1.00055 0.74676 0.748371
1828 1 0.999797 0.685621 0.814724
1728 1 0.874359 0.692927 0.685177
1759 1 0.935113 0.751386 0.685838
1760 1 0.878554 0.815465 0.689273
1854 1 0.937625 0.690272 0.756341
1856 1 0.874865 0.680569 0.812533
1885 1 0.876878 0.745312 0.744364
1886 1 0.936606 0.81289 0.744156
1887 1 0.935144 0.752766 0.809087
1888 1 0.874985 0.813923 0.810937
1054 1 0.933773 0.562501 1.00197
1935 1 0.436164 0.493586 0.943566
1763 1 0.0570808 0.872898 0.690979
1768 1 0.120113 0.940396 0.692057
1890 1 0.0599289 0.935941 0.752742
1891 1 0.0603491 0.874171 0.811264
1893 1 0.11836 0.869928 0.753907
1896 1 0.119479 0.936572 0.815576
1764 1 0.000587651 0.938981 0.686254
1892 1 0.997989 0.936065 0.809648
669 1 0.87525 1.00082 0.622063
1767 1 0.185409 0.876519 0.682263
1771 1 0.315855 0.868842 0.682275
1772 1 0.25333 0.93391 0.68384
1894 1 0.186512 0.940192 0.754582
1895 1 0.184396 0.874766 0.816194
1897 1 0.249595 0.875838 0.744818
1898 1 0.31729 0.936801 0.74917
1899 1 0.316197 0.874947 0.806292
1900 1 0.251744 0.939438 0.81398
2032 1 0.372291 0.935891 0.938567
793 1 0.752671 1.00292 0.75358
2031 1 0.440417 0.873806 0.938492
2036 1 0.498717 0.935052 0.936645
1775 1 0.436292 0.87185 0.682143
1776 1 0.372363 0.939642 0.682178
1901 1 0.377733 0.878103 0.742968
1902 1 0.434621 0.94068 0.748254
1903 1 0.440949 0.877744 0.808887
1904 1 0.374612 0.940379 0.810598
1780 1 0.498357 0.938675 0.685176
1908 1 0.497885 0.936358 0.81057
2034 1 0.561596 0.937942 0.875203
1905 1 0.499698 0.876385 0.748598
1779 1 0.560653 0.87373 0.684396
1784 1 0.624667 0.940247 0.68461
1906 1 0.561714 0.934762 0.743289
1907 1 0.561507 0.873982 0.810609
1909 1 0.621615 0.876934 0.74495
1912 1 0.624151 0.940617 0.807941
2022 1 0.189438 0.937087 0.873853
2035 1 0.563116 0.87774 0.940744
1783 1 0.683499 0.877728 0.687337
1787 1 0.816142 0.87639 0.685653
1788 1 0.749469 0.945155 0.689621
1910 1 0.683608 0.939472 0.748244
1911 1 0.68994 0.880196 0.809725
1913 1 0.750276 0.878997 0.745199
1914 1 0.812371 0.938209 0.750121
1915 1 0.808821 0.876404 0.811848
1916 1 0.751605 0.939809 0.811659
2040 1 0.624284 0.938812 0.936492
1889 1 0.998915 0.877016 0.749526
2037 1 0.627021 0.878236 0.869657
1791 1 0.943058 0.876104 0.683335
1792 1 0.872441 0.935864 0.692832
1917 1 0.874912 0.874786 0.750304
1918 1 0.936578 0.935364 0.747597
1919 1 0.935686 0.870484 0.812714
1920 1 0.876345 0.933042 0.814227
1922 1 0.0598053 0.559942 0.872448
1928 1 0.116202 0.562056 0.933603
1955 1 0.0585485 0.626865 0.93349
1957 1 0.121644 0.620798 0.87369
1953 1 0.998159 0.61874 0.871652
1613 1 0.372995 0.749493 0.494059
1683 1 0.562126 0.500085 0.685815
2033 1 0.504096 0.876593 0.87142
1069 1 0.374998 0.629647 0.997714
1963 1 0.311739 0.618649 0.94006
1961 1 0.259275 0.625926 0.873923
1932 1 0.252961 0.563199 0.939143
1959 1 0.187297 0.621825 0.942989
1926 1 0.193467 0.564888 0.874499
1930 1 0.317255 0.557799 0.877785
2025 1 0.253493 0.866269 0.874627
1936 1 0.377765 0.562829 0.938849
1967 1 0.433961 0.621471 0.940017
1934 1 0.435654 0.562077 0.881666
1965 1 0.375511 0.621949 0.878579
1969 1 0.503433 0.621496 0.873674
1951 1 0.935487 0.4973 0.935862
1065 1 0.244818 0.629342 1.00228
1142 1 0.679744 0.940952 1.00109
1109 1 0.624767 0.747934 1.00184
1940 1 0.497119 0.56007 0.934872
1938 1 0.56431 0.562656 0.881153
1944 1 0.627597 0.567574 0.939445
1971 1 0.561067 0.628287 0.944055
1973 1 0.620562 0.62835 0.875667
1 1 0.00329005 0.994882 0.999917
1106 1 0.559736 0.809859 0.998724
1977 1 0.745861 0.62926 0.871193
1975 1 0.688323 0.625623 0.932612
1948 1 0.759051 0.568097 0.937553
1979 1 0.811881 0.626106 0.938558
1942 1 0.683962 0.56681 0.873431
1946 1 0.813183 0.571473 0.874804
1082 1 0.81224 0.69003 1.00469
919 1 0.687864 0.994137 0.936215
1924 1 0.995052 0.559324 0.934904
1952 1 0.874799 0.562317 0.937959
1981 1 0.882694 0.621163 0.876466
1983 1 0.937337 0.627719 0.934794
1950 1 0.942886 0.557449 0.870673
1821 1 0.873224 0.49879 0.7471
1960 1 0.126522 0.687872 0.929854
1986 1 0.0632014 0.809921 0.877494
1987 1 0.0628483 0.746406 0.930625
1989 1 0.126333 0.745166 0.873321
1992 1 0.128642 0.811757 0.937595
1954 1 0.0562704 0.691498 0.870361
1956 1 0.998305 0.689523 0.933859
1555 1 0.56407 0.502544 0.559914
2023 1 0.188958 0.874097 0.938295
1993 1 0.243855 0.744864 0.876653
1996 1 0.245077 0.806083 0.932613
1964 1 0.242984 0.689504 0.93746
1990 1 0.183286 0.812189 0.874878
1991 1 0.183763 0.750015 0.932907
1962 1 0.308427 0.690318 0.877091
1958 1 0.186886 0.681878 0.871247
1995 1 0.309234 0.751481 0.939355
1994 1 0.313128 0.806002 0.871636
1999 1 0.441324 0.754029 0.936749
1997 1 0.383068 0.748423 0.873873
1998 1 0.437888 0.811204 0.873891
2000 1 0.373983 0.815435 0.933359
1966 1 0.434238 0.688331 0.878521
1968 1 0.369423 0.689442 0.933577
2004 1 0.503045 0.815979 0.934707
2001 1 0.500555 0.748847 0.874876
1972 1 0.502321 0.69202 0.932432
2028 1 0.248705 0.927938 0.933591
1537 1 -0.00274391 0.500186 0.501767
2026 1 0.313428 0.940455 0.869253
2030 1 0.442086 0.935365 0.875314
1970 1 0.561659 0.690496 0.873941
2005 1 0.623243 0.749278 0.868146
2002 1 0.566664 0.816006 0.873047
1976 1 0.624508 0.690296 0.934492
2003 1 0.564927 0.75646 0.934028
2008 1 0.627931 0.81462 0.929203
2029 1 0.375035 0.878642 0.870559
2027 1 0.311085 0.868752 0.933349
2009 1 0.749594 0.752537 0.877064
2006 1 0.689335 0.81297 0.869296
1974 1 0.683598 0.690973 0.873378
1978 1 0.807354 0.690828 0.877604
2007 1 0.684895 0.751344 0.940095
2012 1 0.742412 0.812389 0.93529
2011 1 0.810711 0.751031 0.941425
1980 1 0.751219 0.685419 0.937169
2010 1 0.815091 0.808893 0.871499
1939 1 0.559919 0.496837 0.944788
1985 1 0.99722 0.751333 0.874381
2013 1 0.871301 0.746353 0.87604
2015 1 0.934167 0.751994 0.939537
2016 1 0.870999 0.810128 0.939054
2014 1 0.935759 0.814163 0.874564
1982 1 0.933062 0.684558 0.871836
1984 1 0.870724 0.687759 0.937976
1988 1 -0.00323919 0.810109 0.937338
2024 1 0.125453 0.929988 0.936786
2019 1 0.061587 0.871006 0.939559
2017 1 0.996311 0.868225 0.880542
2021 1 0.123169 0.869693 0.878729
2018 1 0.0605042 0.928374 0.873854
1677 1 0.375135 0.498685 0.627513
1026 1 0.0583489 0.559385 1.00121
899 1 0.0672077 0.992376 0.935996
903 1 0.190662 0.995224 0.937853
1657 1 0.749682 0.878825 0.503697
1114 1 0.802834 0.818563 0.998536
905 1 0.253656 0.999949 0.877429
1949 1 0.875962 0.504327 0.873764
1801 1 0.246156 0.496629 0.750929
1815 1 0.687592 0.499882 0.811973
1081 1 0.750845 0.630232 1.00522
657 1 0.508139 1.00053 0.625324
1947 1 0.820622 0.502124 0.940751
647 1 0.187213 1.00075 0.688299
1943 1 0.687174 0.506906 0.938086
1658 1 0.809314 0.938185 0.506405
791 1 0.687918 0.998292 0.814542
1025 1 0.99635 0.501498 0.99953
1141 1 0.626297 0.866976 0.996425
927 1 0.942169 0.997789 0.93717
1057 1 0.997483 0.616952 0.998874
527 1 0.440011 1.002 0.56236
1078 1 0.688072 0.689488 0.994851
1093 1 0.12574 0.754405 0.999195
1070 1 0.441225 0.69082 0.995138
1598 1 0.936816 0.694074 0.498993
1038 1 0.437533 0.561805 1.00167
1066 1 0.309826 0.690516 0.998251
1098 1 0.314916 0.814412 1.0003
9 1 0.25033 0.995246 0.996732
1650 1 0.558985 0.933986 0.499585
1610 1 0.314395 0.812355 0.501407
1621 1 0.626644 0.755709 0.494251
1130 1 0.308346 0.936685 0.993011
1614 1 0.433756 0.810042 0.500739
1033 1 0.247501 0.49737 0.999418
1105 1 0.499805 0.748177 0.997368
1113 1 0.748941 0.75063 0.997297
1622 1 0.687039 0.814739 0.507809
1049 1 0.754615 0.506527 1.00246
1633 1 0.00583256 0.87585 0.502233
1030 1 0.183248 0.557276 0.9963
513 1 0.998055 0.996316 0.504671
1061 1 0.117877 0.629023 0.989176
1634 1 0.0697254 0.934708 0.50406
1150 1 0.936624 0.934626 0.992364
1550 1 0.43939 0.559519 0.49382
1146 1 0.81007 0.93828 0.991674
525 1 0.372889 0.995584 0.499587
|
[
"[email protected]"
] | |
04c9978ad6a95cfed263e81ffc0cdeaba8a93b6c
|
ab460d3c0c3cbc4bd45542caea46fed8b1ee8c26
|
/dprs/common/sftp/PySFTPAuthException.py
|
a6d9b4cf620bb2d34ac77e41957792eefe8c126a
|
[
"Unlicense"
] |
permissive
|
sone777/automl-dprs
|
8c7f977402f6819565c45acd1cb27d8d53c40144
|
63572d1877079d8390b0e4a3153edf470056acf0
|
refs/heads/main
| 2023-09-03T21:54:43.440111 | 2021-11-02T14:44:35 | 2021-11-02T14:44:35 | null | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 288 |
py
|
# -*- coding: utf-8 -*-
# Author : Jin Kim
# e-mail : [email protected]
# Powered by Seculayer © 2020 AI Service Model Team, R&D Center.
class PySFTPAuthException(Exception):
def __str__(self):
return "[ERROR-C0001] Authentication failed. check username and password!"
|
[
"[email protected]"
] | |
8403194c971606033bb11b869b9d4c323b5903ff
|
2e00546708761532e0081dc9be928b58307c5941
|
/setup.py
|
6f30596ede067a7daf4e98a7a4a82ac3164c7708
|
[
"BSD-3-Clause"
] |
permissive
|
gijs/bulbs
|
5f16b9d748face55f514f73c849745af91a8bd97
|
650e03d1ee635d0d8f40557f4697b3a85b88cdff
|
refs/heads/master
| 2021-01-18T06:23:04.496132 | 2011-07-15T15:00:49 | 2011-07-15T15:00:49 | null | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 2,726 |
py
|
"""
Bulbs
-----
Bulbs is a Python persistence framework for graph databases that
connects to Rexster.
"""
from setuptools import Command, setup
class run_audit(Command):
"""Audits source code using PyFlakes for following issues:
- Names which are used but not defined or used before they are defined.
- Names which are redefined without having been used.
"""
description = "Audit source code with PyFlakes"
user_options = []
def initialize_options(self):
all = None
def finalize_options(self):
pass
def run(self):
import os, sys
try:
import pyflakes.scripts.pyflakes as flakes
except ImportError:
print "Audit requires PyFlakes installed in your system."""
sys.exit(-1)
dirs = ['bulbs', 'tests']
# Add example directories
#for dir in ['blog',]:
# dirs.append(os.path.join('examples', dir))
# TODO: Add test subdirectories
warns = 0
for dir in dirs:
for filename in os.listdir(dir):
if filename.endswith('.py') and filename != '__init__.py':
warns += flakes.checkPath(os.path.join(dir, filename))
if warns > 0:
print ("Audit finished with total %d warnings." % warns)
else:
print ("No problems found in sourcecode.")
def run_tests():
import os, sys
sys.path.append(os.path.join(os.path.dirname(__file__), 'tests'))
from bulbs_tests import suite
return suite()
setup (
name = 'Bulbs',
version = '0.2-dev',
url = 'http://bulbflow.com',
license = 'BSD',
author = 'James Thornton',
author_email = '[email protected]',
description = 'A Python persistence framework for graph databases that '
'connects to Rexster.',
long_description = __doc__,
keywords = "graph database DB persistence framework rexster gremlin",
packages = ['bulbs'],
zip_safe=False,
platforms='any',
install_requires=[
'httplib2>=0.7.1',
'simplejson>=2.1.6',
],
classifiers = [
"Programming Language :: Python",
"Development Status :: 3 - Alpha",
"Environment :: Web Environment",
"Intended Audience :: Developers",
"License :: OSI Approved :: BSD License",
"Operating System :: OS Independent",
"Topic :: Database",
"Topic :: Database :: Front-Ends",
"Topic :: Internet :: WWW/HTTP",
"Topic :: Software Development :: Libraries :: Python Modules",
"Topic :: System :: Distributed Computing",
],
cmdclass={'audit': run_audit},
test_suite='__main__.run_tests'
)
|
[
"[email protected]"
] | |
fb4c0158df41aa9f4f260853f8e1938e3784bd0a
|
c6f6dd7f8733af191c52a0365f71f4a2c3bc7000
|
/venv/bin/pip3.7
|
4574a3c87d9c826184f69885850998e5208d43c3
|
[] |
no_license
|
gruni1992/AirlineChecker
|
20c79d75160a7829ce2c61305d521ce1a7144919
|
4ea8de9c6f42735bb0dae184a842a7f2be686fb4
|
refs/heads/master
| 2020-10-01T03:29:22.517770 | 2019-12-11T23:31:57 | 2019-12-11T23:31:57 | 227,445,330 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 423 |
7
|
#!/Users/tobiasgrunwald/PycharmProjects/AirlineChecker/venv/bin/python
# EASY-INSTALL-ENTRY-SCRIPT: 'pip==19.0.3','console_scripts','pip3.7'
__requires__ = 'pip==19.0.3'
import re
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(
load_entry_point('pip==19.0.3', 'console_scripts', 'pip3.7')()
)
|
[
"[email protected]"
] | |
b71941a91b5406892fc0962d46ddbf6b15406fb4
|
64d923ab490341af97c4e7f6d91bf0e6ccefdf4b
|
/tensorforce/core/networks/auto.py
|
6a445b051b06ae683e4435e6f34e5c608037ef5b
|
[
"Apache-2.0"
] |
permissive
|
tensorforce/tensorforce
|
38d458fedeeaa481adf083397829cea434d020cd
|
1bf4c3abb471062fb66f9fe52852437756fd527b
|
refs/heads/master
| 2023-08-17T17:35:34.578444 | 2023-08-14T20:14:08 | 2023-08-14T20:14:08 | 85,491,050 | 1,312 | 246 |
Apache-2.0
| 2023-08-14T20:14:10 | 2017-03-19T16:24:22 |
Python
|
UTF-8
|
Python
| false | false | 7,625 |
py
|
# Copyright 2020 Tensorforce Team. All Rights Reserved.
#
# 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 logging
from tensorforce import TensorforceError
from tensorforce.core.networks import LayeredNetwork
class AutoNetwork(LayeredNetwork):
"""
Network whose architecture is automatically configured based on input types and shapes,
offering high-level customization (specification key: `auto`).
Args:
size (int > 0): Layer size, before concatenation if multiple states
(<span style="color:#00C000"><b>default</b></span>: 64).
depth (int > 0): Number of layers per state, before concatenation if multiple states
(<span style="color:#00C000"><b>default</b></span>: 2).
final_size (int > 0): Layer size after concatenation if multiple states
(<span style="color:#00C000"><b>default</b></span>: layer size).
final_depth (int > 0): Number of layers after concatenation if multiple states
(<span style="color:#00C000"><b>default</b></span>: 1).
rnn (false | [parameter](../modules/parameters.html), int >= 0): Whether to add an LSTM cell
with internal state as last layer, and if so, horizon of the LSTM for truncated
backpropagation through time
(<span style="color:#00C000"><b>default</b></span>: false).
device (string): Device name
(<span style="color:#00C000"><b>default</b></span>: inherit value of parent module).
l2_regularization (float >= 0.0): Scalar controlling L2 regularization
(<span style="color:#00C000"><b>default</b></span>: inherit value of parent module).
name (string): <span style="color:#0000C0"><b>internal use</b></span>.
inputs_spec (specification): <span style="color:#0000C0"><b>internal use</b></span>.
outputs (iter[string]): <span style="color:#0000C0"><b>internal use</b></span>.
"""
def __init__(
self, *, size=64, depth=2, final_size=None, final_depth=1, rnn=False, device=None,
l2_regularization=None, name=None, inputs_spec=None, outputs=None,
# Deprecated
internal_rnn=None
):
if internal_rnn is not None:
raise TensorforceError.deprecated(
name='AutoNetwork', argument='internal_rnn', replacement='rnn'
)
if len(inputs_spec) == 1:
if final_size is not None:
raise TensorforceError.invalid(
name='AutoNetwork', argument='final_size', condition='input size = 1'
)
if final_depth is not None and final_depth != 1:
raise TensorforceError.invalid(
name='AutoNetwork', argument='final_depth', condition='input size = 1'
)
if len(inputs_spec) > 8:
logging.warning("Large number of state components {} which may cause poor performance, "
"consider merging components where possible.".format(len(inputs_spec)))
if outputs is not None:
raise TensorforceError.invalid(
name='policy', argument='single_output', condition='AutoNetwork'
)
if final_size is None:
final_size = size
if final_depth is None:
final_depth = 0
layers = list()
for input_name, spec in inputs_spec.items():
if len(inputs_spec) == 1:
state_layers = layers
else:
state_layers = list()
layers.append(state_layers)
# Retrieve input state
if input_name is None:
prefix = ''
else:
prefix = input_name + '_'
state_layers.append(dict(
type='retrieve', name=(prefix + 'retrieve'), tensors=(input_name,)
))
# Embed bool and int states
requires_embedding = (spec.type == 'bool' or spec.type == 'int')
if spec.type == 'int' and spec.num_values is None:
if input_name is None:
raise TensorforceError.required(
name='state', argument='num_values', condition='state type is int'
)
else:
raise TensorforceError.required(
name=(input_name + ' state'), argument='num_values',
condition='state type is int'
)
if requires_embedding:
state_layers.append(dict(
type='embedding', name=(prefix + 'embedding'), size=size
))
# Shape-specific layer type
if spec.rank == 1 - requires_embedding:
layer = 'dense'
elif spec.rank == 2 - requires_embedding:
layer = 'conv1d'
elif spec.rank == 3 - requires_embedding:
layer = 'conv2d'
elif spec.rank == 0:
state_layers.append(dict(type='flatten', name=(prefix + 'flatten')))
layer = 'dense'
else:
raise TensorforceError.value(
name='AutoNetwork', argument='input rank', value=spec.rank, hint='>= 3'
)
# Repeat layer according to depth (one less if embedded)
for n in range(depth - requires_embedding):
state_layers.append(dict(
type=layer, name='{}{}{}'.format(prefix, layer, n), size=size
))
# Max pool if rank greater than one
if spec.rank > 1 - requires_embedding:
state_layers.append(dict(
type='pooling', name=(prefix + 'pooling'), reduction='max'
))
# Register state-specific embedding
if input_name is not None:
state_layers.append(dict(
type='register', name=(prefix + 'register'), tensor=(input_name + '-embedding')
))
# Final combined layers
if len(inputs_spec) == 1:
final_layers = layers
else:
final_layers = list()
layers.append(final_layers)
# Retrieve state-specific embeddings
final_layers.append(dict(
type='retrieve', name='retrieve',
tensors=tuple(input_name + '-embedding' for input_name in inputs_spec),
aggregation='concat'
))
# Repeat layer according to depth
for n in range(final_depth):
final_layers.append(dict(type='dense', name=('dense' + str(n)), size=final_size))
# Rnn
if rnn is not None and rnn is not False:
final_layers.append(dict(type='lstm', name='lstm', size=final_size, horizon=rnn))
super().__init__(
layers=layers, device=device, l2_regularization=l2_regularization, name=name,
inputs_spec=inputs_spec, outputs=outputs
)
|
[
"[email protected]"
] | |
bf809fa31669a6db995f706f5243cd48a837b0ab
|
8f5a3c0b51599d3daac814fd7d7aaaef85de6c1a
|
/Sports/live_tennis.1m.py
|
5cf2d105b865a0bccebc52b5c44f3bc30a9775a5
|
[] |
no_license
|
chrisidefix/bitbar-plugins
|
d3fc46ae0b24e05ac77bf326863e6f7d091d9b7b
|
10c66222f4fb21666aabfd7ddc5d976bc2ef062a
|
refs/heads/master
| 2021-01-20T00:36:59.380506 | 2016-03-30T14:33:04 | 2016-03-30T14:33:04 | 55,046,126 | 0 | 0 | null | 2016-03-30T08:29:44 | 2016-03-30T08:29:44 | null |
UTF-8
|
Python
| false | false | 4,332 |
py
|
#!/usr/local/bin/python
# -*- coding: utf-8 -*-
# <bitbar.title>Live Tennis Scores</bitbar.title>
# <bitbar.version>v1.0</bitbar.version>
# <bitbar.author>Anup Sam Abraham</bitbar.author>
# <bitbar.author.github>anupsabraham</bitbar.author.github>
# <bitbar.desc>Show live scores for tennis matches using ATP World Tour api</bitbar.desc>
# <bitbar.image>http://i.imgur.com/5kOPKVv.png</bitbar.image>
# <bitbar.dependencies></bitbar.dependencies>
# <bitbar.abouturl></bitbar.abouturl>
import urllib2
import json
atpworldtour_base_url = "http://www.atpworldtour.com"
inital_scores_url = atpworldtour_base_url + "/en/-/ajax/Scores/GetInitialScores"
nbsp = " " # for stripping from data
team_keys = ['TeamOne', 'TeamTwo']
set_key_names = ['SetOne', 'SetTwo', 'SetThree', 'SetFour', 'SetFive']
inital_scores_response = urllib2.urlopen(inital_scores_url)
initial_scores_data = json.load(inital_scores_response)
tournaments = initial_scores_data['liveScores']['Tournaments']
final_matches_list = []
for each_tournament in tournaments:
matches = each_tournament['Matches']
for match in matches:
match_data = {}
teams = []
for team_name in team_keys:
team_data = {}
# get the player(s) name for each team
player_name = match[team_name]['PlayerOneName']
if match[team_name]['PlayerTwoName'].strip():
player_name += " / " + match[team_name]['PlayerTwoName']
if match[team_name]['TeamStatus'] == "now-serving":
player_name += "*"
team_data['player_name'] = player_name
# get the scores
score_string = ""
set_score_list = []
for set_name in set_key_names:
if set_name in match[team_name]['Scores'] and match[team_name]['Scores'][set_name] != nbsp:
score_string += match[team_name]['Scores'][set_name]
set_score_list.append(int(match[team_name]['Scores'][set_name]))
score_string += " "
if "CurrentScore" in match[team_name]['Scores'] and match[team_name]['Scores']['CurrentScore'] != nbsp:
score_string += match[team_name]['Scores']["CurrentScore"]
team_data['score'] = score_string
team_data['set_score_list'] = set_score_list
teams.append(team_data)
set_lead = [0,0]
if not match['MatchInfo'].strip():
# if matchinfo is not present in the json response, generate a match info
# Calculate the total number of sets won by each team/player
for x in xrange(5):
if len(teams[0]['set_score_list']) > x and len(teams[0]['set_score_list']) > x:
if (teams[0]['set_score_list'][x] - 2) >= teams[1]['set_score_list'][x] and teams[0]['set_score_list'][x] >= 6:
set_lead[0] += 1
elif (teams[1]['set_score_list'][x] - 2) >= teams[0]['set_score_list'][x] and teams[1]['set_score_list'][x] >= 6:
set_lead[1] += 1
if set_lead[0] > set_lead[1]:
match_data['info'] = "%s leads by %s set%s to %s" %(teams[0]['player_name'], set_lead[0], "s" if set_lead[0] > 1 else "", set_lead[1])
elif set_lead[1] > set_lead[0]:
match_data['info'] = "%s leads by %s set%s to %s" %(teams[1]['player_name'], set_lead[1], "s" if set_lead[1] > 1 else "", set_lead[0])
elif not (set_lead[0] & set_lead[1]):
match_data['info'] = "First set in progress"
else:
match_data['info'] = "Both won %s set%s each" %(set_lead[0], "s" if set_lead[0] > 1 else "")
else:
match_data['info'] = match['MatchInfo']
match_data['url'] = atpworldtour_base_url + match['StatsLink']
match_data['team_data'] = teams
final_matches_list.append(match_data)
if final_matches_list:
print "🎾%s" % len(final_matches_list)
print "---"
for match in final_matches_list:
print match['info'] + " | size=15 color=blue href=" + match['url']
for team in match['team_data']:
print team['score'] + " " + team['player_name'] + " | size=13"
print "---"
else:
print "🎾"
|
[
"[email protected]"
] | |
1e0ee01251f67ed10b637c3a87ce579476bbe16d
|
7f0694d3186a1294123db11ba7e02babc11f89e7
|
/Dash_App_and_Models/model1.py
|
5abfdc20e91e4628200a1920b63de837365b1890
|
[] |
no_license
|
Nwosu-Ihueze/final_project
|
47e05cde1ace4ddede7446578794d0444fb03e88
|
1783d576ce5238008ffaa57fbad56f61c4fd41e5
|
refs/heads/master
| 2022-04-09T06:12:16.409124 | 2020-03-04T21:49:28 | 2020-03-04T21:49:28 | null | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 886 |
py
|
import pandas as pd
import numpy as np
from scipy import sparse
from lightfm import LightFM
from sklearn.metrics.pairwise import cosine_similarity
from lightfm.evaluation import auc_score
from lightfm.evaluation import precision_at_k,recall_at_k
from surprise import Dataset, Reader
from surprise import SVD
from surprise import accuracy
from surprise.model_selection import cross_validate, train_test_split, RandomizedSearchCV
df = pd.read_csv('skindataall.csv', index_col=[0])
data = df[['User_id', 'Product_Url', 'Rating_Stars']]
reader = Reader(line_format='user item rating', sep=',')
data = Dataset.load_from_df(data, reader=reader)
trainset, testset = train_test_split(data, test_size=.2)
svd = SVD()
svd.fit(trainset)
predictions = svd.test(testset)
accuracy.rmse(predictions)
accuracy.mae(predictions)
dump.dump('svd_model', algo=svd, predictions=predictions, verbose=1)
|
[
"[email protected]"
] | |
7739df99512578f0171dbfb7fc76a3ce076b6ff8
|
f0c7d9f0a11ffc4688426ac322a8393037794254
|
/day10/json/json_readme.py
|
5d57b22bc6f8a53cfe6c61890d79aa64c6f8d306
|
[] |
no_license
|
AndroidIosWebEmbeddedFirmwareDver/python3LearningNote
|
fd19b72fdcddfa2e440c14856ecb0ef609ed525a
|
83294f9820edeade9446938852a510351c2e49db
|
refs/heads/master
| 2020-03-07T21:12:36.214027 | 2018-04-02T07:29:49 | 2018-04-02T07:29:49 | 127,720,470 | 1 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 1,687 |
py
|
#
#
#
# TODO;Python3 JSON 数据解析
"""
JSON (JavaScript Object Notation) 是一种轻量级的数据交换格式。它基于ECMAScript的一个子集。
Python3 中可以使用 json 模块来对 JSON 数据进行编解码，它包含了两个函数：
json.dumps(): 对数据进行编码。
json.loads(): 对数据进行解码。
在json的编解码过程中，python 的原始类型与json类型会相互转换，具体的转化对照如下：
Python 编码为 JSON 类型转换对应表：
-----------------------------------------------------
Python JSON
-----------------------------------------------------
dict object
list, tuple array
str string
int, float, int- & float-derived Enums number
True true
False false
None null
-----------------------------------------------------
JSON 解码为 Python 类型转换对应表：
-----------------------------------------------------
JSON Python
-----------------------------------------------------
object dict
array list
string str
number (int) int
number (real) float
true True
false False
null None
-----------------------------------------------------
"""
|
[
"[email protected]"
] | |
bd30293088449cc6e3717512ad35e784ff32fadf
|
06a456087f2e49baa3aac361c55a3df986e1834d
|
/hom_step4.py
|
dcef3346754c6ab1508d511145f5c75b87ffa25a
|
[] |
no_license
|
rjanssen96/discrete_structures
|
b9ccaeafeace34cabb4c508712b6feb456d82b7c
|
4529c705e4823a0ac877482f2b9214a37ca48af9
|
refs/heads/master
| 2020-04-09T08:52:02.648970 | 2019-01-08T08:10:46 | 2019-01-08T08:10:46 | 160,211,410 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 2,384 |
py
|
# (Step 4) Obtain the general solution of degree 2+, nvm 1+
def find_general_solution_2(all_r_and_m_test):
test_general_sol = "s(n)="
u = 1 # counter for adding a + between root sections
a = 1
# chose which theorem to use based on the multiplicities
# loop through all multiplicities, if any of them is > 1, then set boolean equal to True, default is false
difficult_theorem = False
for x in all_r_and_m_test.values():
if x > 1:
difficult_theorem = True
# print(difficult_theorem)
if difficult_theorem == True: # if some multiplicitie(s) > 1
for x in all_r_and_m_test: # x is the values of the roots
i = 0 # power of the n in every root section counter, resets for every root
test_general_sol = test_general_sol + "("
for y in range(0, all_r_and_m_test[x]): # for the length of the multiplicity excluding the boundaries
# print(y)
# if y == 0: # to prevent one to many +
# test_general_sol = test_general_sol + "Alpha_" + str(a) + "*n**" + str(i)
# elif y > 0:
test_general_sol = test_general_sol + "+Alpha_" + str(a) + "*n**" + str(i)
i = i + 1 # power counter
a = a + 1 # alpha counter
# prevents one to many * at the end
if u == len(all_r_and_m_test):
test_general_sol = test_general_sol + ")(" + str(x) + ")**n"
elif u != len(all_r_and_m_test):
test_general_sol = test_general_sol + ")(" + str(x) + ")**n+"
else:
print("Never lucky m8")
u = u + 1
elif difficult_theorem == False: # when all multiplicities are 1
for x in all_r_and_m_test:
if x == 0: # So that the equation doesn't start with +
test_general_sol = test_general_sol + "Alpha_" + str(a) + "*(" + str(x) + ")**n"
elif x != 0:
test_general_sol = test_general_sol + "+Alpha_" + str(a) + "*(" + str(x) + ")**n"
a = a + 1
# replace all the *n**0 with "", cuz anything to the 0th power is 1
# and replace anything to the power 1 to just that thing
test_general_sol = test_general_sol.replace("*n**0", "")
test_general_sol = test_general_sol.replace("**1", "")
return test_general_sol
|
[
"[email protected]"
] | |
2e6261677ddc3501e9d60c2a0868e8ae1938e26e
|
f33e2e9e10a7c8a5ecc9997f86548bad071ce33e
|
/alerta/app/exceptions.py
|
6c0b0caccf525a16c4431797256c413948898f77
|
[
"Apache-2.0"
] |
permissive
|
sasha-astiadi/alerta
|
01f1136adbfc26f79935c1c44e9ca3d49efd6f00
|
f9a33f50af562e5d0a470e1091e9d696d76558f4
|
refs/heads/master
| 2023-03-16T10:35:42.300274 | 2018-01-23T14:06:42 | 2018-01-23T14:06:42 | null | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 431 |
py
|
class AlertaException(IOError):
pass
class RejectException(AlertaException):
"""The alert was rejected because the format did not meet the required policy."""
pass
class RateLimit(AlertaException):
"""Too many alerts have been received for a resource or from an origin."""
pass
class BlackoutPeriod(AlertaException):
"""Alert was not processed becauese it was sent during a blackout period."""
pass
|
[
"[email protected]"
] | |
5406a0bd1a39311a7a0f09d7800aa9d20636919f
|
c631e9756210bab774afda2b228853cb93ae28fe
|
/src/test/test_trainer_attention.py
|
5e4bbec6ab8ba0a3a905e64b3e3157bbcaafa0c8
|
[] |
no_license
|
AIRob/pytorch-chat-bot
|
9a9af2078ef4ee6b5ce5a10a75977fb0b5adfe6a
|
1b604f9fecee70e519a930525afaa83facbfaf68
|
refs/heads/master
| 2020-03-27T10:00:35.117537 | 2017-12-09T01:38:40 | 2017-12-09T01:38:40 | null | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 1,541 |
py
|
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import unicode_literals
from unittest import TestCase
from data.data_loader_attention import DataLoaderAttention
from models.encoder import Encoder
from models.decoder import Decoder
from models.trainer import Trainer
class TestTrainerAttention(TestCase):
def test_train_method(self):
file_name = 'test/test_data/attention_test.txt'
fine_tune_model_name = '../models/glove_model_40.pth'
self.test_data_loader_attention = DataLoaderAttention(file_name=file_name)
self.test_data_loader_attention.load_data()
source2index, index2source, target2index, index2target, train_data = \
self.test_data_loader_attention.load_data()
EMBEDDING_SIZE = 50
HIDDEN_SIZE = 32
encoder = Encoder(len(source2index), EMBEDDING_SIZE, HIDDEN_SIZE, 3, True)
decoder = Decoder(len(target2index), EMBEDDING_SIZE, HIDDEN_SIZE*2)
self.trainer = Trainer(
fine_tune_model=fine_tune_model_name
)
self.trainer.train_attention(train_data=train_data,
source2index=source2index,
target2index=target2index,
index2source=index2source,
index2target=index2target,
encoder_model=encoder,
decoder_model=decoder,
)
|
[
"[email protected]"
] | |
683e3738c5937bb596285d3eda2385c7b56b00c8
|
faf5d559e70e5434ae3fbd603b0c6217d321477a
|
/News/constans/www_4908_cn.py
|
eba1c5b80647e2ca183e270b62de43781489f247
|
[] |
no_license
|
roceys/NewsCrawlerPG
|
50780b42740d9cbce1af037636fa169440d7292a
|
84f32942f07205858973dcc2ad44caae989553eb
|
refs/heads/master
| 2020-12-04T15:57:53.462780 | 2016-07-12T05:21:08 | 2016-07-12T05:21:08 | null | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 819 |
py
|
# coding: utf-8
SPIDER_NAME = "spider:news:www_4908_cn"
# START_URLS = [""]
# CLASS_NAME = ""
CRAWL_SOURCE = u"奇趣网"
DOMAIN = "www.4908.com"
# AJAX = True
ITEMS_XPATH = "//div[@class='summary']/h3"
TITLE_XPATH = "./a/text()"
URL_XPATH = "./a/@href"
# SUMMARY_XPATH = ""
# THUMB_XPATH = ""
# EXTRACTOR_CLS = "News.extractor."
# CUSTOM_SETTINGS = {
#
# }
CATEGORIES = {
u"奇趣动物": ("http://www.4908.cn/html/Animals/", 31, 30, 4),
u"趣闻轶事": ("http://www.4908.cn/html/QuWenYiShi/", 31, 30, 4),
u"世界之最": ("http://www.4908.cn/html/ShiJieZhiZui/", 31, 30, 3),
u"科学探秘": ("http://www.4908.cn/html/YuZhou/", 14, 120, 4),
u"野史逸闻": ("http://www.4908.cn/html/YeShiYiWen/", 13, 120, 4),
u"热点扫描": ("http://www.4908.cn/html/SheHuiReDian/", 2, 120, 3),
}
|
[
"[email protected]"
] | |
4aadfcd20a040ed6e5cbe84affd38b0320fa6928
|
e12385c85e41d98bc3104f3e4dde22025a0b6365
|
/m5stack-u105/examples/test_saw.py
|
f4472bdcdd32643ae248bca4c8a0e8d2eb67553a
|
[] |
no_license
|
mchobby/esp8266-upy
|
6ee046856ec03c900ebde594967dd50c5f0a8e21
|
75184da49e8578315a26bc42d9c3816ae5d5afe8
|
refs/heads/master
| 2023-08-04T15:11:03.031121 | 2023-07-27T15:43:08 | 2023-07-27T15:43:08 | 72,998,023 | 47 | 30 | null | 2021-06-20T16:12:59 | 2016-11-06T15:00:57 |
Python
|
UTF-8
|
Python
| false | false | 515 |
py
|
"""
Test the MicroPython driver for M5Stack U105, DDS unit (AD9833), I2C grove.
Set SAWTOOTH signal output (this have fixed frequency)
* Author(s):
30 may 2021: Meurisse D. (shop.mchobby.be) - Initial Writing
"""
from machine import I2C
from mdds import *
from time import sleep
# Pico - I2C(0) - sda=GP8, scl=GP9
i2c = I2C(0)
# M5Stack core
# i2c = I2C( sda=Pin(21), scl=Pin(22) )
dds = DDS(i2c)
# Generates the SAW TOOTH signal at 55.9Hz (fixed frequency)
dds.quick_out( SAWTOOTH_MODE, freq=1, phase=0 )
|
[
"[email protected]"
] | |
d8f1945073a82d83a780f2b1c557761a8de3d924
|
95a5cc3e42774ca8e02135e207980aed7d34a606
|
/Page/login.py
|
3d1dc0081c80cd57ad87bb0f79b30514daf0a7cb
|
[] |
no_license
|
xiaozhang3358/HouTai
|
783caa4f50c2117719de44fc3b4f41d2eb7af2fa
|
0d47cff22604c45493086d7faa2c316d1c386535
|
refs/heads/master
| 2020-04-22T03:45:02.881442 | 2019-02-11T08:58:26 | 2019-02-11T08:58:26 | 160,893,538 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 567 |
py
|
import Page
from Base.base import Base
class PageLogin(Base):
# 输入用户名
def page_login_username(self,username):
self.base_input_text(Page.username,username)
# 输入密码
def page_login_pwd(self,pwd):
self.base_input_text(Page.pwd,pwd)
# 点击登录
def page_login_btn(self):
self.base_click_btn(Page.login_btn)
# 封装登录方法
def page_login(self):
self.page_login_username('admini')
self.page_login_pwd('admin')
self.page_login_btn()
print('--------------')
|
[
"[email protected]"
] | |
eb8d51fb5ca54be0611768c70ffc111e7f16e59f
|
d51611481c8e5d827f440357e8298f5047a72d2a
|
/UserAPP/Douar.py
|
9c4e214b53a8c96dabf65c1afb7bd87c82b52c73
|
[] |
no_license
|
oudacias/GeoProject
|
82c15c0f7f205cd7e64ebdc4ddb7fae9b15d7ee9
|
3c9e5699f75d84e2e6f8a11c4e3201233f2357a4
|
refs/heads/master
| 2023-08-18T10:19:01.858274 | 2021-09-30T14:30:59 | 2021-09-30T14:30:59 | 386,601,211 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 6,428 |
py
|
import tkinter as tk
from tkinter import ttk
from tkinter import *
from tkinter.messagebox import *
from UserAPP.Douar_BE import Douar
class AddDouar(tk.Tk):
def __init__(self, *args, **kwargs):
tk.Tk.__init__(self, *args, **kwargs)
self.title("Douar")
self.geometry("801x450+240+100")
self.resizable(0, 0)
#self.iconbitmap(r'C:\Users\LAILA\PycharmProjects\IFE_GIS\icons\iconlogo.ico')
self.config(bg="#F7F9F9")
self.dr = Douar()
# -------------------------------------------------------------TREEVIEW-------------------------------------------------
global tree
style = ttk.Style(self)
style.theme_use('clam')
style.configure("Treeview", background="#FFFFFF", foreground="#14566D")
style.configure("Treeview.Heading", background="#B0D9E8", foreground="#14566D")
self.tree = ttk.Treeview(self)
self.tree.place(x=5, y=5, width=778, height=425)
ysb = ttk.Scrollbar(self, orient='vertical', command=self.tree.yview)
ysb.place(x=782, y=5, height=439)
xsb = ttk.Scrollbar(self, orient='horizontal', command=self.tree.xview)
xsb.place(x=5, y=430, width=778)
self.tree['yscroll'] = ysb.set
self.tree['xscroll'] = xsb.set
col_name = self.dr.columnName()
self.tree["columns"] = ("0", "1", "2", "3", "4", "5")
self.tree['show'] = 'headings'
for c in range(len(self.tree["columns"])):
self.tree.column(c, width=100)
self.tree.heading(c, text=col_name[c])
douars = self.dr.select()
index = iid = 0
for item in douars:
self.tree.insert("", index, iid, values=item)
index = iid = index + 1
#self.tree.selection_set(self.tree.get_children()[0])
self.tree.bind("<Double-1>", self.OnDoubleClick)
# ---------------------- AFFICHAGE DE LIGNE SELECTIONNEE -------------------
def OnDoubleClick(self, event):
try:
self.row_selected = self.tree.item(self.tree.selection())
value = self.row_selected['values'][0]
verf = self.dr.verifyDr(str(value))
if verf == True:
self.root = tk.Tk()
self.root.title("Douar")
self.root.resizable(0, 0)
self.root.geometry("370x187+450+190")
self.root.config(bg="#F7F9F9")
self.frameDoubleClick()
elif verf == False:
showerror("Douar", "Veuillez sélectionner un douar")
except:
showerror("Douar", "Veuillez sélectionner un douar")
def frameDoubleClick(self):
frame_labels = LabelFrame(self.root, text="Modifier/Supprimer", font=("Helvetica", 13), bg="#F7F9F9")
frame_labels.place(x=10, y=7, width=350, height=170)
self.row_selected = self.tree.item(self.tree.selection())
value = self.row_selected['values'][0]
colonnes = self.dr.select_colName()
valeurs = self.dr.select_colValue(str(value))
i =0
self.h = [None] * len(colonnes)
for j in range(len(colonnes)):
label = tk.Label(frame_labels, text=''.join(colonnes[j]), font="Helvetica", pady=10, padx=20, bg="#F7F9F9").grid(row=i+2, column=0)
nb = StringVar()
nb.set(i)
frm = Frame(frame_labels, bg="#4EB1FA", bd=1, relief=FLAT, width=40)
frm.grid(row=i+2, column=1)
if i == 1:
self.h[i] = Entry(frm, textvariable=nb, relief=FLAT, width=32, justify=RIGHT)
else:
self.h[i] = Entry(frm, textvariable=nb, relief=FLAT, width=32)
self.h[i].insert(1, valeurs[0][j])
self.h[i].grid(row=i+2, column=1)
i = i+1
button = Button(frame_labels, text="Modifier", command=self.modification, font=("Times New Roman", 11), bg="#4EB1FA",fg="#FFFFFF", relief=FLAT, activebackground="#4EB1FA", activeforeground="#000000")
button.place(x=110, y=100)
button = Button(frame_labels, text="Supprimer", command=self.suppr, font=("Times New Roman", 11), fg="#FFFFFF", bg="#FF862E", relief=FLAT, activebackground="#FF8A02", activeforeground="#000000")
button.place(x=180, y=100)
#--------------------- MODIFICATION -----------------
def modification(self):
if self.h[0].get() != '':
tab = []
for i in range(len(self.h)):
tab.append(self.h[i].get())
self.dr.update_colValue(tab, str(self.row_selected['values'][0]))
x = self.tree.selection()[0]
self.tree.delete(*self.tree.get_children())
douars = self.dr.select()
index = iid = 0
for item in douars:
self.tree.insert("", index, iid, values=item)
index = iid = index + 1
self.root.destroy()
else:
showerror("Douar", "Veuillez remplir le champ")
#--------------------- SUPPRESSION --------------------
def suppr(self):
self.popinfos = tk.Toplevel()
self.popinfos.title('Suppression')
self.popinfos.resizable(0, 0)
self.popinfos.config(bg="#F7F9F9")
self.popinfos.geometry("360x120+500+300")
label = tk.Label(self.popinfos, text="Voulez-vous supprimer ce douar?", font=("Helvetica", 12), pady=13, padx=20, bg="#F7F9F9").place(x=45, y=15)
btn1 = tk.Button(self.popinfos, text='Oui', command=self.supprimer, font=("Times New Roman", 11), bg="#4EB1FA",fg="#FFFFFF", relief=FLAT, activebackground="#4EB1FA", activeforeground="#000000")
btn1.place(x=148, y=70)
btn2 = tk.Button(self.popinfos, text='Non', command=self.annuler, font=("Times New Roman", 11), fg="#FFFFFF", bg="#FF862E", relief=FLAT, activebackground="#FF8A02", activeforeground="#000000")
btn2.place(x=200, y=70)
def supprimer(self):
self.dr.deleteDr(str(self.row_selected['values'][0]))
self.root.destroy()
self.popinfos.destroy()
x = self.tree.selection()[0]
self.tree.delete(x)
def annuler(self):
self.root.destroy()
self.popinfos.destroy()
'''if __name__ == "__main__":
app = AddDouar()
app.mainloop()'''
|
[
"[email protected]"
] | |
4b50ee25fadef6900d12808a2218ca9d4a650918
|
a1ab35f212ce1f1aec40232aed181f5fdf4c1532
|
/app/__init__.py
|
743641a040dfb89ca467f49cb3bb39ca38dac94d
|
[
"MIT"
] |
permissive
|
TERESIA012/App_Pitch
|
5d77e5a3ee393fc41f5df741aa0209cf7e058bc0
|
86ed3fb682e32686d98ce2258a937314300801a1
|
refs/heads/master
| 2023-07-31T09:53:36.641419 | 2021-09-21T19:35:20 | 2021-09-21T19:35:20 | 407,357,436 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 1,369 |
py
|
from flask import Flask
from flask_bootstrap import Bootstrap
from config import config_options
from flask_sqlalchemy import SQLAlchemy
from flask_login import LoginManager
from flask_uploads import UploadSet,configure_uploads,IMAGES
from flask_mail import Mail
from flask_wtf.csrf import CSRFProtect
from flask_simplemde import SimpleMDE
mail = Mail()
login_manager = LoginManager()
csrf = CSRFProtect()
simple = SimpleMDE()
login_manager.session_protection = 'strong'
login_manager.login_view = 'auth.login'
bootstrap = Bootstrap()
db = SQLAlchemy()
photos = UploadSet('photos',IMAGES)
def create_app(config_name):
app = Flask(__name__)
# Creating the app configurations
app.config.from_object(config_options[config_name])
config_options[config_name].init_app(app)
# Initializing flask extensions
bootstrap.init_app(app)
db.init_app(app)
login_manager.init_app(app)
mail.init_app(app)
# Registering the blueprint
csrf.init_app(app)
simple.init_app(app)
from .main import main as main_blueprint
app.register_blueprint(main_blueprint)
from .auth import auth as auth_blueprint
app.register_blueprint(auth_blueprint,url_prefix = '/auth')
# setting config
# from .requests import configure_request
# configure_request(app)
configure_uploads(app,photos)
return app
|
[
"[email protected]"
] | |
3e8a9a28a574de2e199c1dabb8e289720915ee65
|
3060eebbf820d63f934cadb05e398fe76a2f66c8
|
/quiz/urls.py
|
cda386e07def41159a07a60d5217c2fbf9cc4c22
|
[] |
no_license
|
patwardhanakshay8/sadhyam
|
2ddc38ff37b2d4f413a66b96c7f6b62a1534cff5
|
f40f7aa0385686d2ffa2bab6e1db0036bd30cbfc
|
refs/heads/master
| 2021-01-12T08:03:21.085056 | 2017-01-01T10:06:21 | 2017-01-01T10:06:21 | 77,112,395 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 440 |
py
|
from django.conf.urls import include, url
from tastypie.api import Api
from quiz.api import *
v1_api = Api(api_name='v1')
v1_api.register(UserResource())
v1_api.register(ExamResource())
v1_api.register(SubjectResource())
v1_api.register(ChapterResource())
v1_api.register(QuestionResource())
v1_api.register(TestTemplateResource())
v1_api.register(TemplateDetailResource())
urlpatterns = [
url(r'^',include(v1_api.urls)),
]
|
[
"[email protected]"
] | |
af52e6f20b3ecca41269977c3a43d8cccbd8acb3
|
ebd7d8407df9b809d3c670fc3734d21c8c3b31d1
|
/assertions/positive_lookbehind.py
|
1facd1cdb73f4a616843b629fb36e31bb1288f11
|
[] |
no_license
|
desireevl/hackerrank-regex-solutions
|
941fc8b877f13149ee87a7f943ca1309393b09ff
|
659e980294aef2d60fe7f32bcd1f20d3a7134e3c
|
refs/heads/master
| 2021-11-23T22:58:00.893639 | 2021-11-04T00:58:57 | 2021-11-04T00:58:57 | 106,813,056 | 7 | 2 | null | 2021-11-04T00:58:58 | 2017-10-13T10:52:57 |
Python
|
UTF-8
|
Python
| false | false | 59 |
py
|
Regex_Pattern = r"(?<=[1,3,5,7,9])\d" # Do not delete 'r'.
|
[
"[email protected]"
] | |
9fcb3eadb820f402f6e00fa52c618598388b3961
|
0a919e7ec5f92ff64aa7f55b545799d0fa7cf0ac
|
/scripts/splitDetectionsFileByImage.py
|
25dafc8ae7ea163329e745e62cae10dd68eea46e
|
[
"MIT"
] |
permissive
|
Lan1991Xu/localization-agent
|
cda74d8525f6c2b6cf9e32a660eb0f24e0701b1a
|
d280acf355307b74e68dca9ec80ab293f0d18642
|
refs/heads/master
| 2020-07-02T14:32:17.255176 | 2015-05-06T19:55:39 | 2015-05-06T19:55:39 | null | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 512 |
py
|
import os,sys
import utils as cu
if __name__ == "__main__":
params = cu.loadParams("detectionsFile outputDir")
f = open(params['detectionsFile'])
line = f.readline()
img = ''
imgOut = open(params['outputDir'] + '/tmp.region_rank','w')
while line != '':
parts = line.split()
if parts[0] != img:
imgOut.close()
imgOut = open(params['outputDir'] + '/' + parts[0] + '.region_rank','w')
img = parts[0]
imgOut.write(line)
line = f.readline()
imgOut.close()
f.close()
|
[
"[email protected]"
] | |
ba426f1e79cb391d274343cd87e1ffbf76f2fa37
|
1fc6750d4553b1c7c81837ec1855377f444dacdd
|
/Test/pigLatin/__init__.py
|
9cf86a56f5cbda3cf701a8ef4cf627a73908d109
|
[] |
no_license
|
Yasaman1997/My_Python_Training
|
a6234c86ef911a366e02ce0d0ed177a0a68157d5
|
11d0496ba97d97f16a3d168aacdda5a6e47abcf7
|
refs/heads/master
| 2023-03-19T08:33:42.057127 | 2021-03-16T07:43:57 | 2021-03-16T07:43:57 | 91,189,940 | 4 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 96 |
py
|
def Pig_Latin(s):
s = raw_input( "input a word")
while(s!=null):
print s+s(0) + "ay"
|
[
"[email protected]"
] | |
b93fb2b73c84f3d98b04cf2b4bac0a01950f0d18
|
83108020d0ea05e4441bf79ff704daf6d3514f4c
|
/sending_email/email_sender.py
|
c435a7ab6c5a95934b2afcdafecc54531d831e7d
|
[] |
no_license
|
poojaurkude/sending_email
|
e5fbb0fc4cb9d59aeba7bc47982dfbaefbc77e9a
|
39085f9fb69f5cf6cbf3ca225bde2c6591dbd87c
|
refs/heads/master
| 2022-12-12T18:59:17.377151 | 2020-09-05T16:32:17 | 2020-09-05T16:32:17 | 293,113,840 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 547 |
py
|
import smtplib
from email.message import EmailMessage
from string import Template
from pathlib import Path
html = Path('index.html')
email = EmailMessage()
email['from'] = 'Pooja Urkude'
email['to'] = '[email protected]'
email['subject'] = 'You won 1,000,000 dollars!'
email.set_content(html.substitute({'name': 'TinTin'}), 'html')
with smtplib.SMTP(host='smtp.gmail.com', port=587) as smtp:
smtp.ehlo()
smtp.starttls()
smtp.login('[email protected]', 'password')
smtp.send_message(email)
print('all good boss!')
|
[
"[email protected]"
] | |
9b793ddce7fe3af92f4a2dd5c7401ce55c990206
|
ed36064525bad62959d9ab739edeea477bf29c1c
|
/2019-10-12-hitcon/lost_key/chall.py
|
2d51b7278c7440004f88be66401a91b0ef5844a7
|
[] |
no_license
|
p4-team/ctf
|
2dae496622c8403d7539b21f0e9a286e9889195a
|
8280caff137e42b26cb55f2c62411c7c512088de
|
refs/heads/master
| 2023-08-12T03:21:31.021612 | 2023-04-26T23:57:29 | 2023-04-26T23:57:29 | 42,933,477 | 1,899 | 366 | null | 2022-06-07T21:51:40 | 2015-09-22T12:53:15 |
Python
|
UTF-8
|
Python
| false | false | 848 |
py
|
#!/usr/bin/env python
from Crypto.Util.number import *
import os,sys
sys.stdin = os.fdopen(sys.stdin.fileno(), 'r', 0)
sys.stdout = os.fdopen(sys.stdout.fileno(), 'w', 0)
def read_key():
key_file = open("key")
n,e,d = map(int,key_file.readlines()[:3])
return n,e,d
def calc(n,p,input):
data = "X: "+input
num = bytes_to_long(data)
res = pow(num,p,n)
return long_to_bytes(res).encode('hex')
def read_flag():
flag = open('flag').read()
assert len(flag) >= 50
assert len(flag) <= 60
prefix = os.urandom(68)
return prefix+flag
if __name__ == '__main__':
n,e,d = read_key()
flag = calc(n,e,read_flag())
print 'Here is the flag!', flag
for i in xrange(100):
m = raw_input('give me your X value: ')
try:
m = m.decode('hex')[:15]
print calc(n,e,m)
except:
print 'no'
exit(0)
|
[
"[email protected]"
] | |
bb9d5fc7810f0c52be7c03285202c98cac4f701f
|
89d7ea3933cf6e1615d4aec2212ba84b19860afb
|
/venv/Scripts/pip-script.py
|
a0ed26bf344dcd4d667ed64588b2062d0a41cc17
|
[] |
no_license
|
tanghu123/PythonOOP
|
4fc024b2136f4fde0d9a2407ce41e40715272f85
|
865fcb8f1e99b1d72bb663b62e47e7f779a4d997
|
refs/heads/master
| 2020-03-30T00:36:19.645843 | 2018-09-27T05:24:14 | 2018-09-27T05:24:14 | null | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 414 |
py
|
#!C:\Users\HuTang\PycharmProjects\PythonOOP\venv\Scripts\python.exe
# EASY-INSTALL-ENTRY-SCRIPT: 'pip==10.0.1','console_scripts','pip'
__requires__ = 'pip==10.0.1'
import re
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(
load_entry_point('pip==10.0.1', 'console_scripts', 'pip')()
)
|
[
"[email protected]"
] | |
e5cfae9f86cb329040c77db72efe87b83cd9d6e0
|
6f6a6b38d6e50c60a61bb047718114fabe3dad88
|
/main/views.py
|
18495a384ad663e7f63d4236e2c79116cc6670e0
|
[] |
no_license
|
marexv/kodiRecommenderDemo
|
8e2df390810bd56961b810b2ce666daa7c97a56a
|
52363fee2ca3a7a69b5bd8bf399a6a05dd85da69
|
refs/heads/master
| 2021-04-12T01:52:13.391900 | 2018-04-15T18:50:42 | 2018-04-15T18:50:42 | 125,814,634 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 2,269 |
py
|
import json
from django.http import HttpResponse
from django.shortcuts import render
from main.models import Movie
from main.forms import movieForm
from main.graph_as_dict import get_recommendations
# Create your views here.
def autocomplete(request):
"""Function for autocompleting search form."""
data = request.GET
term = data.get("term")
if term:
movies = Movie.objects.filter(title__icontains=term)
else:
movies = Movie.objects.all()
results = []
for movie in movies:
movies_json = {}
movies_json['id'] = movie.movie_id
movies_json['label'] = movie.title
movies_json['value'] = movie.title
results.append(movies_json)
data = json.dumps(results)
mimetype = 'application/json'
return HttpResponse(data, mimetype)
def index(request):
if request.method == 'POST':
form = movieForm(request.POST)
if form.is_valid():
title = form.cleaned_data['title']
form = movieForm()
if Movie.objects.filter(title=title).exists():
movie = Movie.objects.filter(title=title)[0]
# Chanege Algorithms here:
recommendations = get_recommendations(movie)
return render(
request,
"main/index.html",
{"form":form,
"status": "Here are your recommendations,",
"explanation": "Why soo basic :/ ?",
"anchor" : "recommender",
"recommendations":recommendations})
else:
return render(request,
"main/index.html",
{"form": form,
"status": "Movie not found",
"anchor" : "page-top",
"recommendations": None})
else:
print("form is not valid")
else:
form = movieForm()
return render(
request,
'main/index.html',
{"form": form,
"status": None,
"anchor" : "page-top",
"recommendations": None})
|
[
"[email protected]"
] | |
b9d235139763b0caf8b97d85cbbb806f13bf35d3
|
4e37f4d13cdb57e2821960bca8d41a02bbfbdafa
|
/src/backend/base/authentication.py
|
03ac7b13d7361072a9147a51bf75266dd69f8d48
|
[] |
no_license
|
PranayMohan1/pustak-back
|
996475494125d1dceb493e2979db41d0ebd4903b
|
9fb742d1122e974af873d555c4066762fe8f8a96
|
refs/heads/main
| 2023-03-18T05:29:20.916915 | 2021-01-05T07:55:14 | 2021-01-05T07:55:14 | 326,926,106 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 190 |
py
|
from rest_framework.authentication import TokenAuthentication
from ..accounts.models import AuthTokenModel
class SportTokenAuthentication(TokenAuthentication):
model = AuthTokenModel
|
[
"[email protected]"
] | |
6d94d35803c6000f6e08ea10fd49958495575880
|
3b9ce3dbe01de365b3525f155f7ba115a3c7ca92
|
/streetview/.svn/text-base/settings-dove.py.svn-base
|
c773f01a5b27c931b7508f57ef2b0248ea3c8398
|
[] |
no_license
|
smooney27/CANVAS
|
d3743991e35db674cee0dfb03daf7724c612a7f5
|
d1e1cd699652dd40c18aa67a38269725395ec78f
|
refs/heads/master
| 2021-01-20T23:09:18.337784 | 2017-11-22T08:34:24 | 2017-11-22T08:34:24 | 101,840,483 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 4,187 |
import os.path
# Django settings for streetview project.
DEBUG = True
TEMPLATE_DEBUG = DEBUG
ADMINS = (
# ('Your Name', '[email protected]'),
)
MANAGERS = ADMINS
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.mysql', # Add 'postgresql_psycopg2', 'postgresql', 'mysql', 'sqlite3' or 'oracle'.
'NAME': 'beh', # Or path to database file if using sqlite3.
'USER': 'sjm2186', # Not used with sqlite3.
'PASSWORD': 'beh', # Not used with sqlite3.
'HOST': '', # Set to empty string for localhost. Not used with sqlite3.
'PORT': '', # Set to empty string for default. Not used with sqlite3.
}
}
# Local time zone for this installation. Choices can be found here:
# http://en.wikipedia.org/wiki/List_of_tz_zones_by_name
# although not all choices may be available on all operating systems.
# On Unix systems, a value of None will cause Django to use the same
# timezone as the operating system.
# If running in a Windows environment this must be set to the same as your
# system time zone.
TIME_ZONE = 'America/New_York'
# Language code for this installation. All choices can be found here:
# http://www.i18nguy.com/unicode/language-identifiers.html
LANGUAGE_CODE = 'en-us'
SITE_ID = 1
# If you set this to False, Django will make some optimizations so as not
# to load the internationalization machinery.
USE_I18N = True
# If you set this to False, Django will not format dates, numbers and
# calendars according to the current locale
USE_L10N = True
# Absolute path to the directory that holds media.
# Example: "/home/media/media.lawrence.com/"
MEDIA_ROOT = ''
# URL that handles the media served from MEDIA_ROOT. Make sure to use a
# trailing slash if there is a path component (optional in other cases).
# Examples: "http://media.lawrence.com", "http://example.com/media/"
MEDIA_URL = ''
# URL prefix for admin media -- CSS, JavaScript and images. Make sure to use a
# trailing slash.
# Examples: "http://foo.com/media/", "/media/".
ADMIN_MEDIA_PREFIX = '/streetview/media/'
# Make this unique, and don't share it with anybody.
SECRET_KEY = '0)c-o-c@__f)ns!w(5$#j!(35n10)2ona$(1o*etcyfa#k(tk!'
# List of callables that know how to import templates from various sources.
TEMPLATE_LOADERS = (
'django.template.loaders.filesystem.Loader',
'django.template.loaders.app_directories.Loader',
# 'django.template.loaders.eggs.Loader',
)
MIDDLEWARE_CLASSES = (
'django.middleware.common.CommonMiddleware',
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.csrf.CsrfViewMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
# 'streetview.middleware.ImpersonateMiddleware'
)
TEMPLATE_CONTEXT_PROCESSORS = (
"django.contrib.auth.context_processors.auth",
"django.core.context_processors.debug",
"django.core.context_processors.i18n",
"django.core.context_processors.media",
"django.core.context_processors.request",
"django.contrib.messages.context_processors.messages"
)
ROOT_URLCONF = 'streetview.urls'
TEMPLATE_DIRS = (
# Put strings here, like "/home/html/django_templates" or "C:/www/django/templates".
# Always use forward slashes, even on Windows.
# Don't forget to use absolute paths, not relative paths.
os.path.join(os.path.dirname(__file__), 'templates'),
)
INSTALLED_APPS = (
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.sites',
'django.contrib.messages',
# Uncomment the next line to enable the admin:
'django.contrib.admin',
# Uncomment the next line to enable admin documentation:
# 'django.contrib.admindocs',
'ratestreets',
)
LOGIN_URL = '/streetview/accounts/login'
LOGIN_REDIRECT_URL = '/'
APP_BASE_URL = ''
STATIC_DOC_ROOT = os.path.join(os.path.dirname(__file__), 'static')
import logging
logging.basicConfig(
level = logging.DEBUG,
format = '%(asctime)s %(levelname)s %(message)s',
)
|
[
"[email protected]"
] | ||
d04e9de9a1c3e8805f81d233500ea425bbc2a27d
|
55646e56d6bb31ae0913eb71879f49efdfaf904f
|
/scribbli/profiles/constants.py
|
1dc3127b96a3d1fc9dcffb567188491d639a6e3d
|
[] |
no_license
|
jacobbridges/scribbli-mvp
|
2d8851aba018b54431af0eb8cb030d02d35f173f
|
c24f2f1a2a19480a6b5f69ffbcccf0269d156140
|
refs/heads/master
| 2023-02-22T11:37:12.239845 | 2021-06-17T04:10:30 | 2021-06-17T04:10:30 | 156,637,826 | 0 | 0 | null | 2023-02-15T20:18:03 | 2018-11-08T02:20:53 |
Python
|
UTF-8
|
Python
| false | false | 328 |
py
|
class RoleChoices(object):
Guest = 0
User = 1
Moderator = 2
Admin = 3
@staticmethod
def as_choices():
return (
(RoleChoices.Guest, "Guest"),
(RoleChoices.User, "User"),
(RoleChoices.Moderator, "Moderator"),
(RoleChoices.Admin, "Admin"),
)
|
[
"[email protected]"
] | |
dd575001b5eb0379c4912709aaf10eb08a098885
|
3a37b6ce2c1c481f6aded64b2d0c4421f7db1210
|
/hpc_bin/ncl_varlist
|
1e41532af22ee130e28cb123cfbc92cf31c13340
|
[] |
no_license
|
dbreusch/pythonExamples
|
99c24dc1d28b8c3be3b4fadd30a05d8ae317b0c0
|
7b8c06208fefcadf918cb9517ac313535c4df010
|
refs/heads/master
| 2022-10-13T12:21:52.182752 | 2020-06-14T23:10:50 | 2020-06-14T23:10:50 | 265,911,840 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 2,768 |
#!/usr/bin/env python
# ncl_varlist:
# take a ncl_filedump output and create a usable variable catalog from it
# output file columns:
# 1 - preferred short name: manually change to preferred name as desired
# 2 - short name: for reference
# 3 - long name: as the var exists in the source file
# 4+ - var description
# Note that the short and long names are the same for WRF but
# different for ERA datasets.
import pdb, sys, os, commands
nargin = len(sys.argv)
if nargin < 2:
print "Syntax: ncl_varlist ifn [ofn]"
print " ifn = input file name"
print " ofn = output file name, defaults to ifn.out"
sys.exit()
ifn = sys.argv[1]
if nargin < 3:
ofn = ifn+".out"
else:
ofn = sys.argv[2]
print "Output in "+ofn
ifile = open( ifn, "r" )
data = ifile.readlines()
ifile.close()
ofile = open( ofn, "w" )
invar = 0
global_ds = 0
nlev = ""
longname = ""
#global_patt = "%-7s%-7s%-15s"
global_patt = "%-15s%-15s%-15s"
regional_patt = "%-20s%-20s%-20s"
for index in range(len(data)):
# if index < 12:
# continue
# if "variables:" in data[index]:
# continue
args = data[index].split()
if len(args) == 0:
continue
# ERA-Interim
if "g4_lat_" in args[0]:
nlat = args[2]
global_ds = 1
continue
if "g4_lon_" in args[0]:
nlon = args[2]
global_ds = 1
continue
if "lv_ISBL" in args[0]:
nlev = args[2]
global_ds = 1
continue
# PWRF
if ("west_east" in args[0]) and (not args[0].endswith("stag")):
nlat = args[2]
global_ds = 0
continue
if ("south_north" in args[0]) and (not args[0].endswith("stag")):
nlon = args[2]
global_ds = 0
continue
if ("bottom_top" in args[0]) and (not args[0].endswith("stag")):
nlev = args[2]
global_ds = 0
continue
if ("float" in args[0]) or ("integer" in args[0]) or ("character" in args[0]):
# pdb.set_trace()
if invar == 1:
# print short name twice to support changing default value later
if global_ds == 1:
opatt = global_patt
else:
opatt = regional_patt
s = opatt % (sname, sname, varname)
ofile.write( s+" " )
if len(longname) > 0:
for nn in longname:
ofile.write( nn+" " )
ofile.write( "\n" )
# print varname
invar = 0
varname = args[1]
if global_ds == 1:
p = varname.split('_')
if (not "lat" in varname) and (not "lon" in varname):
sname = p[0]
else:
sname = p[1]
else:
sname = varname
invar = 1
continue
if ("description" in args[0]) or ("long_name" in args[0]):
longname = args[2:]
continue
ofile.close()
if global_ds == 1:
print nlat+" Lat x "+nlon+" Lon"
else:
print nlat+" West-East x "+nlon+" South-North"
if len(nlev)>0:
print nlev+" Levels"
|
[
"[email protected]"
] | ||
0019b031e7d6ea4b5ef94a7edb66ce0b397327aa
|
e289f23d5762fe60fa63b7326666a9bbeeeaba06
|
/pi.py
|
73b1d9094138ed3e39cb6596ccbd2c38b47031de
|
[] |
no_license
|
banaabraham/personal_insight
|
cc1f426b3e07f788caa79d49a802021ce0bdce6d
|
603c9a194467905c5a0b956c953a5954556c8925
|
refs/heads/master
| 2021-01-23T16:04:52.665388 | 2017-09-07T09:58:07 | 2017-09-07T09:58:07 | 102,721,197 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 1,892 |
py
|
import tweepy
from watson_developer_cloud import PersonalityInsightsV2 as PersonalityInsights
def analyze(handle):
CONSUMER_KEY=''
CONSUMER_SECRET=''
OAUTH_TOKEN=''
OAUTH_TOKEN_SECRET=''
auth = tweepy.OAuthHandler(CONSUMER_KEY, CONSUMER_SECRET)
auth.set_access_token(OAUTH_TOKEN, OAUTH_TOKEN_SECRET)
api = tweepy.API(auth)
print (api)
statuses = api.user_timeline(screen_name = handle, count=100)
text = ""
for status in statuses:
text += (status._json)['text']
#ibm bluemix personal insight credentials
pi_username = ''
pi_password = ''
personality_insights = PersonalityInsights(username=pi_username, password=pi_password)
pi_result = personality_insights.profile(text)
return pi_result
def flatten(orig):
data = {}
for c in orig['tree']['children']:
if 'children' in c:
for c2 in c['children']:
if 'children' in c2:
for c3 in c2['children']:
if 'children' in c3:
for c4 in c3['children']:
if (c4['category'] == 'personality'):
data[c4['id']] = c4['percentage']
if 'children' not in c3:
if (c3['category'] == 'personality'):
data[c3['id']] = c3['percentage']
return data
def compare(dict1, dict2):
compared_data = {}
for keys in dict1:
if dict1[keys] != dict2[keys]:
compared_data[keys]=abs(dict1[keys] - dict2[keys])
return compared_data
user_handle= '@codeacademy'
user_result = analyze(user_handle)
user = flatten(user_result)
print("user: %s" %(user_handle))
for k in user.keys():
print ("%s -> %f" %(k,user[k]*100))
|
[
"[email protected]"
] | |
8d2b3d6ccb85c1f38dea9e5a9999d0743003224d
|
652a407eda737fc5694f668544b614a816573b22
|
/Python/baseline_solution.py
|
5dbf9be547606b18a8f5ddd15f1582277735ef81
|
[] |
no_license
|
akshaymehra24/who-is-more-influential
|
3e9ad6be76d6036d8c95085bdd19df1425686256
|
5d2db5280882cb2af0183b93d2d66dfe02d7f332
|
refs/heads/master
| 2021-01-11T07:54:23.656000 | 2016-12-06T01:04:19 | 2016-12-06T01:04:19 | 72,068,871 | 2 | 1 | null | 2016-12-06T01:04:21 | 2016-10-27T03:48:29 |
Python
|
UTF-8
|
Python
| false | false | 3,289 |
py
|
#!/usr/bin/python
# -*- coding: utf8 -*-
# SAMPLE SUBMISSION TO THE BIG DATA HACKATHON 13-14 April 2013 'Influencers in a Social Network'
# .... more info on Kaggle and links to go here
#
# written by Ferenc Huszár, PeerIndex
from os.path import join
from sklearn import linear_model
# from sklearn.metrics import roc_auc_score
import numpy as np
###########################
# LOADING TRAINING DATA
###########################
DATA_DIR = 'C:/Users/Patrick/PycharmProjects/who-is-more-influential/Original Dataset'
OUTPUT_DIR = 'C:/Users/Patrick/PycharmProjects/who-is-more-influential/Python'
trainfile = open(join(DATA_DIR, 'train.csv'))
header = trainfile.next().rstrip().split(',')
y_train = []
X_train_A = []
X_train_B = []
for line in trainfile:
splitted = line.rstrip().split(',')
label = int(splitted[0])
A_features = [float(item) for item in splitted[1:12]]
B_features = [float(item) for item in splitted[12:]]
y_train.append(label)
X_train_A.append(A_features)
X_train_B.append(B_features)
trainfile.close()
y_train = np.array(y_train)
X_train_A = np.array(X_train_A)
X_train_B = np.array(X_train_B)
###########################
# EXAMPLE BASELINE SOLUTION USING SCIKIT-LEARN
#
# using scikit-learn LogisticRegression module without fitting intercept
# to make it more interesting instead of using the raw features we transform them logarithmically
# the input to the classifier will be the difference between transformed features of A and B
# the method roughly follows this procedure, except that we already start with pairwise data
# http://fseoane.net/blog/2012/learning-to-rank-with-scikit-learn-the-pairwise-transform/
###########################
def transform_features(x):
return np.log(1+x)
X_train = transform_features(X_train_A) - transform_features(X_train_B)
model = linear_model.LogisticRegression(fit_intercept=False)
model.fit(X_train, y_train)
# compute AuC score on the training data (BTW this is kind of useless due to overfitting, but hey, this is only an example solution)
p_train = model.predict_proba(X_train)
p_train = p_train[:,1:2]
# print 'AuC score on training data:', roc_auc_score(y_train, p_train.T)
###########################
# READING TEST DATA
###########################
testfile = open(join(DATA_DIR, 'test.csv'))
#ignore the test header
testfile.next()
X_test_A = []
X_test_B = []
for line in testfile:
splitted = line.rstrip().split(',')
A_features = [float(item) for item in splitted[0:11]]
B_features = [float(item) for item in splitted[11:]]
X_test_A.append(A_features)
X_test_B.append(B_features)
testfile.close()
X_test_A = np.array(X_test_A)
X_test_B = np.array(X_test_B)
# transform features in the same way as for training to ensure consistency
X_test = transform_features(X_test_A) - transform_features(X_test_B)
# compute probabilistic predictions
p_test = model.predict_proba(X_test)
#only need the probability of the 1 class
p_test = p_test[:,1:2]
###########################
# WRITING SUBMISSION FILE
###########################
predfile = open(join(OUTPUT_DIR, 'predictions.csv'), 'w+')
print >> predfile, ','.join(['Id', 'Choice'])
row_id = 1
for line in p_test:
print >> predfile, ','.join([str(row_id), str(line[0])])
row_id += 1
predfile.close()
|
[
"[email protected]"
] | |
2bfe0ce34f0883cb0a19b9e1ddc4a134e88153f8
|
bbea9b1f64284c9ca95d9f72f35e06aa39522c67
|
/Scripts/plot_MS-FIGURE_4b_v2.py
|
179017277abe54d6e9bf27d6a766bc9dfc223aaa
|
[
"MIT"
] |
permissive
|
zmlabe/ModelBiasesANN
|
1e70c150bd8897fa5fb822daf8ffad0ee581c5f1
|
cece4a4b01ca1950f73c4d23fb379458778c221e
|
refs/heads/main
| 2023-05-23T06:05:23.826345 | 2022-07-22T18:36:27 | 2022-07-22T18:36:27 | 339,145,668 | 7 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 4,625 |
py
|
"""
Script to plot figure 4b
Author : Zachary M. Labe
Date : 12 July 2021
Version : 2
"""
### Import packages
import sys
import matplotlib.pyplot as plt
import matplotlib.colors as c
import numpy as np
import palettable.cubehelix as cm
import palettable.scientific.sequential as sss
import palettable.cartocolors.qualitative as cc
import cmocean as cmocean
import cmasher as cmr
import calc_Utilities as UT
import scipy.stats as sts
### Plotting defaults
plt.rc('text',usetex=True)
plt.rc('font',**{'family':'sans-serif','sans-serif':['Avant Garde']})
### Set parameters
directorydata = '/Users/zlabe/Documents/Research/ModelComparison/Data/MSFigures_v2/'
directoryfigure = '/Users/zlabe/Desktop/ModelComparison_v1/MSFigures_v2/'
variablesall = ['T2M']
yearsall = np.arange(1950,2019+1,1)
allDataLabels = ['CanESM2','MPI','CSIRO-MK3.6','EC-EARTH','GFDL-CM3','GFDL-ESM2M','LENS','MM-Mean']
letters = ["a","b","c","d","e","f","g","h","i","j","k","l","m","n","o","p"]
### Read in frequency data
globef = np.load(directorydata + 'CountingIterations_%s.npz' % ('SMILEGlobe'))
arcticf = np.load(directorydata + 'CountingIterations_%s.npz' % ('LowerArctic'))
gmeanff = globef['mmean']
ggfdlff = globef['gfdlcm']
ameanff = arcticf['mmean']
agfdlff = arcticf['gfdlcm']
###############################################################################
###############################################################################
###############################################################################
def adjust_spines(ax, spines):
for loc, spine in ax.spines.items():
if loc in spines:
spine.set_position(('outward', 5))
else:
spine.set_color('none')
if 'left' in spines:
ax.yaxis.set_ticks_position('left')
else:
ax.yaxis.set_ticks([])
if 'bottom' in spines:
ax.xaxis.set_ticks_position('bottom')
else:
ax.xaxis.set_ticks([])
### Begin plot
fig = plt.figure(figsize=(8,6))
ax = plt.subplot(211)
adjust_spines(ax, ['left', 'bottom'])
ax.spines['top'].set_color('none')
ax.spines['right'].set_color('none')
ax.spines['left'].set_color('dimgrey')
ax.spines['bottom'].set_color('dimgrey')
ax.spines['left'].set_linewidth(2)
ax.spines['bottom'].set_linewidth(2)
ax.tick_params('both',length=4,width=2,which='major',color='dimgrey')
ax.yaxis.grid(zorder=1,color='darkgrey',alpha=0.35,clip_on=False,linewidth=0.5)
x=np.arange(1950,2019+1,1)
plt.plot(yearsall,gmeanff,linewidth=5,color='k',alpha=1,zorder=3,clip_on=False)
plt.yticks(np.arange(0,101,10),map(str,np.round(np.arange(0,101,10),2)),size=9)
plt.xticks(np.arange(1950,2030+1,10),map(str,np.arange(1950,2030+1,10)),size=9)
plt.xlim([1950,2020])
plt.ylim([0,100])
plt.text(1949,104,r'\textbf{[a]}',color='dimgrey',
fontsize=7,ha='center')
plt.text(2022,50,r'\textbf{GLOBAL}',color='dimgrey',fontsize=25,rotation=270,
ha='center',va='center')
plt.ylabel(r'\textbf{Frequency of Label}',color='k',fontsize=10)
###############################################################################
ax = plt.subplot(212)
adjust_spines(ax, ['left', 'bottom'])
ax.spines['top'].set_color('none')
ax.spines['right'].set_color('none')
ax.spines['left'].set_color('dimgrey')
ax.spines['bottom'].set_color('dimgrey')
ax.spines['left'].set_linewidth(2)
ax.spines['bottom'].set_linewidth(2)
ax.tick_params('both',length=4,width=2,which='major',color='dimgrey')
ax.yaxis.grid(zorder=1,color='darkgrey',alpha=0.35,clip_on=False,linewidth=0.5)
x=np.arange(1950,2019+1,1)
plt.plot(yearsall,ameanff,linewidth=5,color='k',alpha=1,zorder=3,clip_on=False,label=r'\textbf{MM-Mean}')
plt.plot(yearsall,agfdlff,linewidth=4,color=plt.cm.CMRmap(0.6),alpha=1,zorder=3,clip_on=False,label=r'\textbf{GFDL-CM3}',
linestyle='--',dashes=(1,0.3))
plt.yticks(np.arange(0,101,10),map(str,np.round(np.arange(0,101,10),2)),size=9)
plt.xticks(np.arange(1950,2030+1,10),map(str,np.arange(1950,2030+1,10)),size=9)
plt.xlim([1950,2020])
plt.ylim([0,100])
plt.text(1949,104,r'\textbf{[b]}',color='dimgrey',
fontsize=7,ha='center')
leg = plt.legend(shadow=False,fontsize=11,loc='upper center',
bbox_to_anchor=(0.5,1.22),fancybox=True,ncol=4,frameon=False,
handlelength=5,handletextpad=1)
plt.ylabel(r'\textbf{Frequency of Label}',color='k',fontsize=10)
plt.text(2022,50,r'\textbf{ARCTIC}',color='dimgrey',fontsize=25,rotation=270,
ha='center',va='center')
plt.tight_layout()
plt.subplots_adjust(hspace=0.4)
plt.savefig(directoryfigure + 'MS-Figure_4b_v2_Poster.png',dpi=1000)
|
[
"[email protected]"
] | |
9dc5656c44d68a159c40f4f8ba7a718cfc88e307
|
e40d4c4996dc26f9c52be95182bbe97041916959
|
/crawl_product_data/crawl_product_data/spiders/shopee_spider_2.py
|
07e11b749c5142e34de805420d6821cad78bb3a1
|
[] |
no_license
|
dukeantt/crawl-ecommerce-site
|
18a5cd7b19682b0ac5c4415d1badf8ad3ec2e131
|
9fdd884aae57d51ffdc98bcb7df5c7b560c7909c
|
refs/heads/master
| 2021-05-19T05:05:24.914852 | 2020-06-15T03:08:49 | 2020-06-15T03:08:49 | 251,539,743 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 4,258 |
py
|
# -*- coding: utf-8 -*-
import logging
import scrapy
import json
from datetime import date
class ShopeeItemSpider(scrapy.Spider):
name = 'shopee-item'
allowed_domains = ['shopee.vn']
cat_api = 'https://shopee.vn/api/v2/search_items/?by=relevancy&keyword={}' \
'%C5%A9i&limit=50&match_id=8851&newest={}&order=desc&page_type=search&version=2 '
item_api = "https://shopee.vn/api/v2/item/get?itemid={}&shopid={}"
shop_api = "https://shopee.vn/api/v2/shop/get?shopid={}"
item_url = "https://shopee.vn/product/{}/{}"
search_text = "Xe đẩy, nôi cũi"
item_limit = 50
cat_id = 1979
start_id = 0
max_retry_empty_list = 3
item_topic = 'shopee_items_raw'
review_topic = 'shopee_reviews_raw'
@classmethod
def from_crawler(cls, crawler, *args, **kwargs):
return cls(item_topic=crawler.settings.get('SHOPEE_ITEMS_TOPIC'),
review_topic=crawler.settings.get('SHOPEE_REVIEWS_TOPIC'),
crawler=crawler, *args, **kwargs)
def __init__(self, item_topic, review_topic, *args, **kwargs):
self.item_topic = item_topic
self.review_topic = review_topic
super(ShopeeItemSpider, self).__init__(*args, **kwargs)
def start_requests(self):
url = self.cat_api.format(self.search_text, self.start_id)
yield scrapy.Request(url, callback=self.parse_item_list,
cb_kwargs={'first_id': self.start_id, 'retry': 0})
def parse_item_list(self, response, first_id, retry):
jsonresponse = json.loads(response.text)
item_list = jsonresponse.get('items', [])
# for item in item_list:
if item_list:
for idx, item in enumerate(item_list):
itemid, shopid = item['itemid'], item['shopid']
api_url = self.item_api.format(itemid, shopid)
yield scrapy.Request(api_url, callback=self.parse_item_api,
cb_kwargs={'itemid': itemid,
'shopid': shopid})
if first_id < 5000:
offset = first_id + self.item_limit
url = self.cat_api.format(self.search_text, offset)
if not item_list:
retry += 1
yield scrapy.Request(url, callback=self.parse_item_list,
cb_kwargs={'first_id': offset, 'retry': retry})
def parse_item_api(self, response, itemid, shopid):
api_response = json.loads(response.text)
if not 'item' in api_response \
or not api_response['item'] \
or not api_response['item']['price']:
logging.warning("Potentially banned!!! Response: %s", response.text)
url = self.item_url.format(shopid, itemid)
item = api_response['item']
name = item['name']
name = name.replace("🌟", "")
name = name.replace("\"", "")
price = str(item['price'] / 100000)
item_id = itemid
shop_api_url = self.shop_api.format(shopid)
yield scrapy.Request(shop_api_url, callback=self.parse_shop_api,
cb_kwargs={'prod_name': name,
'price': price,
'item_id': item_id,
'product_url': url})
def parse_shop_api(self, response, prod_name, price, item_id, product_url):
api_response = json.loads(response.text)
shop_data = api_response['data']
shop_id = shop_data['shopid']
shop_url = ""
shop_owner = ""
shop_name = ""
if "username" in shop_data['account']:
shop_owner = shop_data['account']['username']
shop_url = "https://shopee.vn/" + shop_owner
if "name" in shop_data:
shop_name = shop_data['name']
today = date.today()
yield {
'product_id': item_id,
'product_url': product_url,
'name': prod_name,
'price': price,
'shop_id': shop_id,
'shop_url': shop_url,
'shop_name': shop_name,
'shop_owner': shop_owner,
'date': today,
}
|
[
"[email protected]"
] | |
94f2e5f2a0f4bd54fc15ad8cbf7272cf787b7ddc
|
be98229ba927965c411987d5a5efa7712c81e97d
|
/tests/majority_class_label.py
|
9d0b5c99e49ff6fab3167e3a376f3df2716ab6ae
|
[] |
no_license
|
nlp-course-test/lab1-2
|
ef9f4aa13dc9d7d4ca01c22cb77161b1814b6166
|
decf65d1084c33cb6d6af0f4b63e0ea30cad878a
|
refs/heads/master
| 2022-12-10T19:01:59.062856 | 2020-09-07T21:32:22 | 2020-09-07T21:32:22 | 293,636,582 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 144 |
py
|
test = {'name': 'majority_class_label', 'points': 1, 'suites': [{'cases': [], 'scored': True, 'setup': '', 'teardown': '', 'type': 'doctest'}]}
|
[
"[email protected]"
] | |
df29ce0065bc8879edf1477b027727bb68956cf3
|
8bfeed4026eb1faa92ba5ffc4f2f83d1285ade9a
|
/wineomas/urls.py
|
34c1ee2d1cacbad40abf11a2fcff3d484163a9ce
|
[] |
no_license
|
ugochukwu2017/wineomas
|
ab4b66738c3ca9bf98a7f8b56c8558f3c9bdcefb
|
e0e759bd0629dc210abfb4a05d3bc00b5779c10d
|
refs/heads/master
| 2020-12-30T09:58:19.353412 | 2017-08-05T23:24:02 | 2017-08-05T23:24:02 | null | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 1,068 |
py
|
"""wineomas URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.11/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Class-based views
1. Add an import: from other_app.views import Home
2. Add a URL to urlpatterns: url(r'^$', Home.as_view(), name='home')
Including another URLconf
1. Import the include() function: from django.conf.urls import url, include
2. Add a URL to urlpatterns: url(r'^blog/', include('blog.urls'))
"""
from django.conf.urls import url,include
from django.contrib import admin
from . import views
urlpatterns = [
url(r'^reviews/', include('reviews.urls', namespace="reviews")),
url(r'^admin/', include(admin.site.urls)),
url(r'^accounts/', include('registration.backends.simple.urls')),
url('^accounts/', include('django.contrib.auth.urls', namespace="auth")),
url(r'^$',views.hello_world,name='welcome'),
]
|
[
"[email protected]"
] | |
87934c23053f09c259a1ce2e6270ea821fc90da6
|
520baeba0e86b0bab3c5590f40b868ca4306dc7e
|
/hazelcast/protocol/codec/count_down_latch_get_count_codec.py
|
345de04de3a44161676bfb0d96b360bac2e606ad
|
[
"Apache-2.0"
] |
permissive
|
mustafaiman/hazelcast-python-client
|
69f27367162045bbfa4e66e7adadcfd254dfab21
|
85f29f975c91520075d0461327e38ab93c2e78c2
|
refs/heads/master
| 2021-01-18T04:23:10.740371 | 2015-12-11T14:26:06 | 2015-12-11T14:26:06 | null | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 1,038 |
py
|
from hazelcast.serialization.data import *
from hazelcast.serialization.bits import *
from hazelcast.protocol.client_message import ClientMessage
from hazelcast.protocol.custom_codec import *
from hazelcast.protocol.codec.count_down_latch_message_type import *
REQUEST_TYPE = COUNTDOWNLATCH_GETCOUNT
RESPONSE_TYPE = 102
RETRYABLE = True
def calculate_size(name):
""" Calculates the request payload size"""
data_size = 0
data_size += calculate_size_str(name)
return data_size
def encode_request(name):
""" Encode request into client_message"""
client_message = ClientMessage(payload_size=calculate_size(name))
client_message.set_message_type(REQUEST_TYPE)
client_message.set_retryable(RETRYABLE)
client_message.append_str(name)
client_message.update_frame_length()
return client_message
def decode_response(client_message):
""" Decode response from client message"""
parameters = dict(response=None)
parameters['response'] = client_message.read_int()
return parameters
|
[
"[email protected]"
] | |
6db9b78246aef370efc8ef609a33b1dadab124a8
|
53e58c213232e02250e64f48b97403ca86cd02f9
|
/18/mc/ExoDiBosonResonances/EDBRTreeMaker/test/crab3_analysisM4500_R_0-7.py
|
fc7eba74e67b0348603262470fab519845902f68
|
[] |
no_license
|
xdlyu/fullRunII_ntuple_102X
|
32e79c3bbc704cfaa00c67ab5124d40627fdacaf
|
d420b83eb9626a8ff1c79af5d34779cb805d57d8
|
refs/heads/master
| 2020-12-23T15:39:35.938678 | 2020-05-01T14:41:38 | 2020-05-01T14:41:38 | 237,192,426 | 0 | 2 | null | null | null | null |
UTF-8
|
Python
| false | false | 2,160 |
py
|
from WMCore.Configuration import Configuration
name = 'WWW'
steam_dir = 'xulyu'
config = Configuration()
config.section_("General")
config.General.requestName = 'M4500_R0-7_off'
config.General.transferLogs = True
config.section_("JobType")
config.JobType.pluginName = 'Analysis'
config.JobType.inputFiles = ['Autumn18_V19_MC_L1FastJet_AK4PFchs.txt','Autumn18_V19_MC_L2Relative_AK4PFchs.txt','Autumn18_V19_MC_L3Absolute_AK4PFchs.txt','Autumn18_V19_MC_L1FastJet_AK8PFchs.txt','Autumn18_V19_MC_L2Relative_AK8PFchs.txt','Autumn18_V19_MC_L3Absolute_AK8PFchs.txt','Autumn18_V19_MC_L1FastJet_AK8PFPuppi.txt','Autumn18_V19_MC_L2Relative_AK8PFPuppi.txt','Autumn18_V19_MC_L3Absolute_AK8PFPuppi.txt','Autumn18_V19_MC_L1FastJet_AK4PFPuppi.txt','Autumn18_V19_MC_L2Relative_AK4PFPuppi.txt','Autumn18_V19_MC_L3Absolute_AK4PFPuppi.txt']
#config.JobType.inputFiles = ['PHYS14_25_V2_All_L1FastJet_AK4PFchs.txt','PHYS14_25_V2_All_L2Relative_AK4PFchs.txt','PHYS14_25_V2_All_L3Absolute_AK4PFchs.txt','PHYS14_25_V2_All_L1FastJet_AK8PFchs.txt','PHYS14_25_V2_All_L2Relative_AK8PFchs.txt','PHYS14_25_V2_All_L3Absolute_AK8PFchs.txt']
# Name of the CMSSW configuration file
#config.JobType.psetName = 'bkg_ana.py'
config.JobType.psetName = 'analysis_sig.py'
#config.JobType.allowUndistributedCMSSW = True
config.JobType.allowUndistributedCMSSW = True
config.section_("Data")
#config.Data.inputDataset = '/WJetsToLNu_13TeV-madgraph-pythia8-tauola/Phys14DR-PU20bx25_PHYS14_25_V1-v1/MINIAODSIM'
config.Data.inputDataset = '/WkkToWRadionToWWW_M4500-R0-7_TuneCP5_13TeV-madgraph/RunIIAutumn18MiniAOD-102X_upgrade2018_realistic_v15-v1/MINIAODSIM'
#config.Data.inputDBS = 'global'
config.Data.inputDBS = 'global'
config.Data.splitting = 'FileBased'
config.Data.unitsPerJob =20
config.Data.totalUnits = -1
config.Data.publication = False
config.Data.outLFNDirBase = '/store/group/dpg_trigger/comm_trigger/TriggerStudiesGroup/STEAM/' + steam_dir + '/' + name + '/'
# This string is used to construct the output dataset name
config.Data.outputDatasetTag = 'M4500_R0-7_off'
config.section_("Site")
# Where the output files will be transmitted to
config.Site.storageSite = 'T2_CH_CERN'
|
[
"[email protected]"
] | |
c9094676d71491d916b51175c368a27754374bc2
|
1ede7746b648d08ac7666a1b2659fe829e9a182a
|
/LTPC1-2020-2/Pratica08/pograma07.py
|
5cb06ca749c029fef13aeeebf50815362261d4a4
|
[] |
no_license
|
Kurt-Cobai/FATEC-MECATRONICA-1600792021035-KURT
|
de8fe0216d34268eb2b43b9879529f8d45546335
|
e1e21be84941479007069a3032be30fc46a6ceac
|
refs/heads/master
| 2023-01-19T11:45:40.161176 | 2020-12-04T00:52:10 | 2020-12-04T00:52:10 | 293,789,856 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 453 |
py
|
preco = input ( "Informe um preço:" )
posicao = 0
posicao_da_virgula = - 1
enquanto posicao < len ( preco ):
if preco [ posicao ] == ',' :
posicao_da_virgula = posicao
posicao = posicao + 1
se posicao_da_virgula == - 1 :
imprimir ( "O valor redes" , preco , "reais" )
mais :
print ( "O valor prestado foi de" , preco [: posicao_da_virgula ], "reais" )
print ( "com" , preco [ posicao_da_virgula + 1 :], "centavos" )
|
[
"[email protected]"
] | |
002d679d51e628b968db319430289a8f91c8f629
|
71d757af0de13c7f4a0fa39578c3abea3451372b
|
/network/mar6.py
|
767bf1068852aae7055a94f78967350e5932090a
|
[] |
no_license
|
bh0085/compbio
|
039421d04317ae878f222d6448144be88aa95f69
|
95bc24ea34346ff4b9a120e317d08518277f268c
|
refs/heads/master
| 2021-03-12T19:57:22.421467 | 2013-02-05T16:45:37 | 2013-02-05T16:45:37 | 947,034 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 1,293 |
py
|
import compbio.network.netutils as nu
import numpy as np
trgs, tfs = nu.parse_net()
gname = 'FBgn0036754'
tg = trgs[gname]
weights = tg['weights']
wsort = np.argsort(weights)
tf_sel = [tg['tfs'][i] for i in wsort[:8]]
orders = [[1,5],
[1,6],
[7,0],
0,2,3,4,5]
for o in orders[0:3]:
ctfs = [tf_sel[i] for i in o]
tg_intersection = [ tg
for tg in tfs[ctfs[0]]['targets']
if tg in tfs[ctfs[1]]['targets']]
tg_union = [tfs[ctfs[0]]['targets'] ]
tg_union = tg_union + [ tg for tg in tfs[ctfs[1]]['targets'] if not tg in tg_union]
print float(len(tg_intersection)) / float(len(tg_union))
o2 = [[[i,j] for i in range(8) if not i == j] for j in range(8)]
o2prime = []
for o in o2:
o2prime.extend(o)
o2 = o2prime
similarities = []
for o in o2:
ctfs = [tf_sel[i] for i in o]
tg_intersection = [ tg
for tg in tfs[ctfs[0]]['targets']
if tg in tfs[ctfs[1]]['targets']]
tg_union = [tfs[ctfs[0]]['targets'] ]
tg_union = tg_union + [ tg for tg in tfs[ctfs[1]]['targets'] if not tg in tg_union]
similarities.append(float(len(tg_intersection)) / float(len(tg_union)))
mean_sim = np.mean(np.array(similarities))
print mean_sim
print len(tfs)
print tf_sel
|
[
"[email protected]"
] | |
2c5fb7e7df1692ef206b0c450637079eaf951da3
|
1682f1d59d678f5cb210dd03d191cc7ad0b71ce3
|
/apps/challenge/migrations/0016_auto_20200210_1801.py
|
baf9c004a845ed9480ac9a5dc4c714e32dddded8
|
[] |
no_license
|
SharifAIChallenge/AIC20-Backend
|
8ee05614696313bf981162a91deb164d5e2a7b2a
|
d813f5a43b2d788874d2daac399d9e4bab6dc02e
|
refs/heads/master
| 2022-12-11T07:25:59.440091 | 2020-03-14T17:23:56 | 2020-03-14T17:23:56 | 234,036,763 | 10 | 1 | null | 2022-12-08T03:26:45 | 2020-01-15T08:42:08 |
Python
|
UTF-8
|
Python
| false | false | 540 |
py
|
# Generated by Django 2.2.9 on 2020-02-10 18:01
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('challenge', '0015_auto_20200202_1552'),
]
operations = [
migrations.RenameField(
model_name='tournament',
old_name='end_time',
new_name='submit_deadline',
),
migrations.AlterField(
model_name='tournament',
name='start_time',
field=models.DateTimeField(),
),
]
|
[
"[email protected]"
] | |
3393a8d836b455d0cb754edb1ec870771dbee269
|
c4544c22c0618451746795090e07c80bc85a0877
|
/static_demo/static_demo/urls.py
|
9928d4f92b406cd67d5c5cef03defa2f295f2c2a
|
[] |
no_license
|
RelaxedDong/Django_course
|
35f7027dc552ad148d2dc8679a19a1ffb12b8d14
|
2965089d15e4c80cd6402d362ee37f8cc675c08b
|
refs/heads/master
| 2022-01-09T14:28:40.503099 | 2019-05-24T07:07:03 | 2019-05-24T07:07:03 | null | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 981 |
py
|
"""static_demo URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.0/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based views
1. Add an import: from other_app.views import Home
2. Add a URL to urlpatterns: path('', Home.as_view(), name='home')
Including another URLconf
1. Import the include() function: from django.urls import include, path
2. Add a URL to urlpatterns: path('blog/', include('blog.urls'))
"""
from django.contrib import admin
from django.urls import path
from book import views
#导入配置
from django.conf import settings
from django.conf.urls.static import static
urlpatterns = [
path('admin/', admin.site.urls),
path('',views.index)
] + static(settings.STATIC_URL, document_root=settings.STATICFILES_DIRS[0])
|
[
"[email protected]"
] | |
4e49c89e0fbdb98a60acc97a9cf18de3fbf8f51d
|
0b796d8977b5fdee276078ef9d4c6784476bc441
|
/hw4/p4.py
|
bd7d3d63f0670fc6c7489ac880e5557241b68d78
|
[] |
no_license
|
JohnnyBarber/Mathematical-Modeling
|
f372b6f67ef6a5f4a6867dd07d9a55c3114a8e19
|
3cb5e60f9c5d5765b6d48138ca3ae53001f065a8
|
refs/heads/master
| 2020-04-27T19:34:17.009168 | 2019-03-08T23:21:36 | 2019-03-08T23:21:36 | 174,624,367 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 1,886 |
py
|
# -*- coding: utf-8 -*-
"""
Created on Wed Mar 7 16:08:27 2018
@author: Jiaqi Li
"""
#!/usr/bin/python
from pylab import *
import csv
from scipy.stats import norm as gaussian
from scipy.optimize import fmin
def main():
height = loadtxt('p4 data.txt', delimiter=',')
x = height[:,0]
y = height[:,1]
m = height.shape[0]
z = []
for i in range(m):
z += [x[i]]*int(y[i])
n = len(z)
z = array(z)
# slow, inaccurate method
def fit_likelihood(a):
return -sum(log(gaussian.pdf((z-a[0])/a[1])/a[1]))
objective = fit_likelihood
a = [64.,6.]
result = fmin(objective, a)
mu, sigma = result[0], result[1]
print( "Numerical Parameter fits: ", (mu, sigma))
print( "\tAverage Log-Likelihood: ", fit_likelihood(result)/n)
# fast, exact method
mu = sum(z)/float(n)
sigma = sqrt(sum((z-mu)**2)/n)
print( "Exact Parameter fits: ", (mu,sigma))
print( "\tAverage Log-Likelihood: ", fit_likelihood((mu,sigma))/n)
print( "\tn = : ", fit_likelihood((mu,sigma))/n)
u = linspace(min(z)*.95,max(z)*1.05, 256)
figure(1, figsize=(8,16))
subplot(3,1,1)
plot(u, n*gaussian.pdf((u-mu)/sigma)/sigma, 'b-')
width = .3
bar_ob = bar(x-width*.5, y, width, color='k')
xlim(min(u), max(u))
ylabel('Count', fontsize=18)
title('Best Fit Gaussian: $\mu = %f$, $\sigma = %f$'%(mu,sigma), fontsize=18)
subplot(3,1,2)
q = linspace(0,1,n)
plot(z,q,'ko', u, gaussian.cdf((u-mu)/sigma),'b-')
xlabel('Height (inches)', fontsize=18)
ylabel('Cumulative Probability', fontsize=18)
xlim(min(u), max(u))
subplot(3,1,3)
plot(gaussian.cdf((z-mu)/sigma), q, 'o', q, q, 'k-')
xlabel('Expected probability', fontsize=18)
ylabel('Observed probability', fontsize=18)
savefig('height_gaussian.png', bbox_inches='tight')
show()
main()
k = [1]
k*2
|
[
"[email protected]"
] | |
4f2c670e47574d434ef9fe7b5dad37d66659a9e9
|
3f1ff6db6cda96264517484ed7b54bf3e95584cb
|
/loop.py
|
4f3b5a47ba5dcdae8fa7013dc0c296394585eb27
|
[] |
no_license
|
kartikeysingh1311/guvi
|
187eb69288498bc301f4f70c5dbcee8c67c0a4f4
|
00eb938fe98746ad281ae95a39ca618d3e540abb
|
refs/heads/master
| 2020-04-01T23:47:17.381914 | 2018-10-21T05:22:51 | 2018-10-21T05:22:51 | 153,773,236 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 56 |
py
|
x=int(input())
for i in range(x):
print("Hello")
|
[
"[email protected]"
] | |
d17d03b122098ab613344e4b358eed9ab77ba30c
|
87827abfa180096cc316bb99a26a09947b1f8758
|
/mozbadges/site/helpers.py
|
5333ffe39dca3bc9b7be04e04ac651324a198e08
|
[
"BSD-3-Clause"
] |
permissive
|
adamlofting/mozilla-badges
|
65e6c4e5be0c0bcc5c943229ea2705e8dec9d666
|
d6c54e830edb08ee6df3dc5190be1408c4797286
|
refs/heads/master
| 2020-04-08T22:07:29.269596 | 2014-07-29T14:52:55 | 2014-07-29T14:52:55 | null | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 897 |
py
|
from jingo import register as jingo_register
from django_browserid.helpers import browserid_button, browserid_info
from mozbadges.compat import _lazy as _, reverse
@jingo_register.function
def persona_info():
# For consistency
return browserid_info()
@jingo_register.function
def persona_login(text='Sign in', color=None, next='',
link_class='browserid-login persona-button', attrs=None, fallback_href='#'):
if color:
if 'persona-button' not in link_class:
link_class += ' persona-button {0}'.format(color)
else:
link_class += ' ' + color
return browserid_button(_(text), next, link_class, attrs, fallback_href)
@jingo_register.function
def persona_logout(text='Sign out', next='', link_class='browserid-logout', attrs=None):
return browserid_button(_(text), next, link_class, attrs, reverse('browserid.logout'))
|
[
"[email protected]"
] | |
1e215bc242fca5e9220e2fe7e015281cf4b594b5
|
f0858aae73097c49e995ff3526a91879354d1424
|
/nova/api/openstack/compute/contrib/hosts.py
|
9fbefd7309b945e6eb8b63e717634091b4a2e30f
|
[
"Apache-2.0"
] |
permissive
|
bopopescu/nested_quota_final
|
7a13f7c95e9580909d91db83c46092148ba1403b
|
7c3454883de9f5368fa943924540eebe157a319d
|
refs/heads/master
| 2022-11-20T16:14:28.508150 | 2015-02-16T17:47:59 | 2015-02-16T17:47:59 | 282,100,691 | 0 | 0 |
Apache-2.0
| 2020-07-24T02:14:02 | 2020-07-24T02:14:02 | null |
UTF-8
|
Python
| false | false | 12,946 |
py
|
# Copyright (c) 2011 OpenStack Foundation
# All Rights Reserved.
#
# 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.
"""The hosts admin extension."""
import webob.exc
from nova.api.openstack import extensions
from nova import compute
from nova import exception
from nova.i18n import _
from nova import objects
from nova.openstack.common import log as logging
LOG = logging.getLogger(__name__)
authorize = extensions.extension_authorizer('compute', 'hosts')
class HostController(object):
"""The Hosts API controller for the OpenStack API."""
def __init__(self):
self.api = compute.HostAPI()
super(HostController, self).__init__()
def index(self, req):
"""Returns a dict in the format:
| {'hosts': [{'host_name': 'some.host.name',
| 'service': 'cells',
| 'zone': 'internal'},
| {'host_name': 'some.other.host.name',
| 'service': 'cells',
| 'zone': 'internal'},
| {'host_name': 'some.celly.host.name',
| 'service': 'cells',
| 'zone': 'internal'},
| {'host_name': 'console1.host.com',
| 'service': 'consoleauth',
| 'zone': 'internal'},
| {'host_name': 'network1.host.com',
| 'service': 'network',
| 'zone': 'internal'},
| {'host_name': 'netwwork2.host.com',
| 'service': 'network',
| 'zone': 'internal'},
| {'host_name': 'compute1.host.com',
| 'service': 'compute',
| 'zone': 'nova'},
| {'host_name': 'compute2.host.com',
| 'service': 'compute',
| 'zone': 'nova'},
| {'host_name': 'sched1.host.com',
| 'service': 'scheduler',
| 'zone': 'internal'},
| {'host_name': 'sched2.host.com',
| 'service': 'scheduler',
| 'zone': 'internal'},
| {'host_name': 'vol1.host.com',
| 'service': 'volume',
| 'zone': 'internal'}]}
"""
context = req.environ['nova.context']
authorize(context)
filters = {'disabled': False}
zone = req.GET.get('zone', None)
if zone:
filters['availability_zone'] = zone
services = self.api.service_get_all(context, filters=filters,
set_zones=True)
hosts = []
for service in services:
hosts.append({'host_name': service['host'],
'service': service['topic'],
'zone': service['availability_zone']})
return {'hosts': hosts}
def update(self, req, id, body):
"""Updates a specified body.
:param body: example format {'status': 'enable',
'maintenance_mode': 'enable'}
"""
def read_enabled(orig_val, msg):
"""Checks a specified orig_val and returns True for 'enabled'
and False for 'disabled'.
:param orig_val: A string with either 'enable' or 'disable'. May
be surrounded by whitespace, and case doesn't
matter
:param msg: The message to be passed to HTTPBadRequest. A single
%s will be replaced with orig_val.
"""
val = orig_val.strip().lower()
if val == "enable":
return True
elif val == "disable":
return False
else:
raise webob.exc.HTTPBadRequest(explanation=msg % orig_val)
context = req.environ['nova.context']
authorize(context)
# See what the user wants to 'update'
params = {k.strip().lower(): v for k, v in body.iteritems()}
orig_status = status = params.pop('status', None)
orig_maint_mode = maint_mode = params.pop('maintenance_mode', None)
# Validate the request
if len(params) > 0:
# Some extra param was passed. Fail.
explanation = _("Invalid update setting: '%s'") % params.keys()[0]
raise webob.exc.HTTPBadRequest(explanation=explanation)
if orig_status is not None:
status = read_enabled(orig_status, _("Invalid status: '%s'"))
if orig_maint_mode is not None:
maint_mode = read_enabled(orig_maint_mode, _("Invalid mode: '%s'"))
if status is None and maint_mode is None:
explanation = _("'status' or 'maintenance_mode' needed for "
"host update")
raise webob.exc.HTTPBadRequest(explanation=explanation)
# Make the calls and merge the results
result = {'host': id}
if status is not None:
result['status'] = self._set_enabled_status(context, id, status)
if maint_mode is not None:
result['maintenance_mode'] = self._set_host_maintenance(context,
id, maint_mode)
return result
def _set_host_maintenance(self, context, host_name, mode=True):
"""Start/Stop host maintenance window. On start, it triggers
guest VMs evacuation.
"""
LOG.audit(_("Putting host %(host_name)s in maintenance mode "
"%(mode)s."),
{'host_name': host_name, 'mode': mode})
try:
result = self.api.set_host_maintenance(context, host_name, mode)
except NotImplementedError:
msg = _("Virt driver does not implement host maintenance mode.")
raise webob.exc.HTTPNotImplemented(explanation=msg)
except exception.NotFound as e:
raise webob.exc.HTTPNotFound(explanation=e.format_message())
except exception.ComputeServiceUnavailable as e:
raise webob.exc.HTTPBadRequest(explanation=e.format_message())
if result not in ("on_maintenance", "off_maintenance"):
raise webob.exc.HTTPBadRequest(explanation=result)
return result
def _set_enabled_status(self, context, host_name, enabled):
"""Sets the specified host's ability to accept new instances.
:param enabled: a boolean - if False no new VMs will be able to start
on the host
"""
if enabled:
LOG.audit(_("Enabling host %s.") % host_name)
else:
LOG.audit(_("Disabling host %s.") % host_name)
try:
result = self.api.set_host_enabled(context, host_name=host_name,
enabled=enabled)
except NotImplementedError:
msg = _("Virt driver does not implement host disabled status.")
raise webob.exc.HTTPNotImplemented(explanation=msg)
except exception.NotFound as e:
raise webob.exc.HTTPNotFound(explanation=e.format_message())
except exception.ComputeServiceUnavailable as e:
raise webob.exc.HTTPBadRequest(explanation=e.format_message())
if result not in ("enabled", "disabled"):
raise webob.exc.HTTPBadRequest(explanation=result)
return result
def _host_power_action(self, req, host_name, action):
"""Reboots, shuts down or powers up the host."""
context = req.environ['nova.context']
authorize(context)
try:
result = self.api.host_power_action(context, host_name=host_name,
action=action)
except NotImplementedError:
msg = _("Virt driver does not implement host power management.")
raise webob.exc.HTTPNotImplemented(explanation=msg)
except exception.NotFound as e:
raise webob.exc.HTTPNotFound(explanation=e.format_message())
except exception.ComputeServiceUnavailable as e:
raise webob.exc.HTTPBadRequest(explanation=e.format_message())
return {"host": host_name, "power_action": result}
def startup(self, req, id):
return self._host_power_action(req, host_name=id, action="startup")
def shutdown(self, req, id):
return self._host_power_action(req, host_name=id, action="shutdown")
def reboot(self, req, id):
return self._host_power_action(req, host_name=id, action="reboot")
@staticmethod
def _get_total_resources(host_name, compute_node):
return {'resource': {'host': host_name,
'project': '(total)',
'cpu': compute_node['vcpus'],
'memory_mb': compute_node['memory_mb'],
'disk_gb': compute_node['local_gb']}}
@staticmethod
def _get_used_now_resources(host_name, compute_node):
return {'resource': {'host': host_name,
'project': '(used_now)',
'cpu': compute_node['vcpus_used'],
'memory_mb': compute_node['memory_mb_used'],
'disk_gb': compute_node['local_gb_used']}}
@staticmethod
def _get_resource_totals_from_instances(host_name, instances):
cpu_sum = 0
mem_sum = 0
hdd_sum = 0
for instance in instances:
cpu_sum += instance['vcpus']
mem_sum += instance['memory_mb']
hdd_sum += instance['root_gb'] + instance['ephemeral_gb']
return {'resource': {'host': host_name,
'project': '(used_max)',
'cpu': cpu_sum,
'memory_mb': mem_sum,
'disk_gb': hdd_sum}}
@staticmethod
def _get_resources_by_project(host_name, instances):
# Getting usage resource per project
project_map = {}
for instance in instances:
resource = project_map.setdefault(instance['project_id'],
{'host': host_name,
'project': instance['project_id'],
'cpu': 0,
'memory_mb': 0,
'disk_gb': 0})
resource['cpu'] += instance['vcpus']
resource['memory_mb'] += instance['memory_mb']
resource['disk_gb'] += (instance['root_gb'] +
instance['ephemeral_gb'])
return project_map
def show(self, req, id):
"""Shows the physical/usage resource given by hosts.
:param id: hostname
:returns: expected to use HostShowTemplate.
ex.::
{'host': {'resource':D},..}
D: {'host': 'hostname','project': 'admin',
'cpu': 1, 'memory_mb': 2048, 'disk_gb': 30}
"""
context = req.environ['nova.context']
host_name = id
try:
compute_node = (
objects.ComputeNode.get_first_node_by_host_for_old_compat(
context, host_name))
except exception.NotFound as e:
raise webob.exc.HTTPNotFound(explanation=e.format_message())
except exception.AdminRequired:
msg = _("Describe-resource is admin only functionality")
raise webob.exc.HTTPForbidden(explanation=msg)
instances = self.api.instance_get_all_by_host(context, host_name)
resources = [self._get_total_resources(host_name, compute_node)]
resources.append(self._get_used_now_resources(host_name,
compute_node))
resources.append(self._get_resource_totals_from_instances(host_name,
instances))
by_proj_resources = self._get_resources_by_project(host_name,
instances)
for resource in by_proj_resources.itervalues():
resources.append({'resource': resource})
return {'host': resources}
class Hosts(extensions.ExtensionDescriptor):
"""Admin-only host administration."""
name = "Hosts"
alias = "os-hosts"
namespace = "http://docs.openstack.org/compute/ext/hosts/api/v1.1"
updated = "2011-06-29T00:00:00Z"
def get_resources(self):
resources = [extensions.ResourceExtension('os-hosts',
HostController(),
collection_actions={'update': 'PUT'},
member_actions={"startup": "GET", "shutdown": "GET",
"reboot": "GET"})]
return resources
|
[
"[email protected]"
] | |
d037f32ce137bd1213e2015c9ec0f59704e69b3b
|
1671cbf89e22d5fb12b9380ee8469dee98862275
|
/setup.py
|
c4f78b0da1d6f6752a31e1f97de46080a78947e9
|
[
"MIT"
] |
permissive
|
VicenteAR/mloq-test
|
12315d2ab69fc8da492bbc3373728fa4e7c5ed56
|
38cab68bc5efe5c5f683e10ff30ef14fbed22ab7
|
refs/heads/master
| 2023-03-05T13:36:38.754448 | 2021-02-09T18:46:09 | 2021-02-09T18:46:09 | 337,502,085 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 1,295 |
py
|
from importlib.machinery import SourceFileLoader
from pathlib import Path
from setuptools import find_packages, setup
version = SourceFileLoader(
"mloq_test.version", str(Path(__file__).parent / "mloq_test" / "version.py"),
).load_module()
with open(Path(__file__).with_name("README.md"), encoding="utf-8") as f:
long_description = f.read()
setup(
name="mloq_test",
description="Creation of new project using mloq.",
long_description=long_description,
long_description_content_type="text/markdown",
packages=find_packages(),
version=version.__version__,
license="MIT",
author="Vicente Arjona Romano",
author_email="",
url="",
keywords=["Machine learning", "artificial intelligence"],
tests_require=["pytest>=5.3.5", "hypothesis>=5.6.0"],
extras_require={},
install_requires=[],
package_data={"": ["README.md"]},
classifiers=[
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"License :: Other/Proprietary License",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Topic :: Software Development :: Libraries",
],
)
|
[
"[email protected]"
] | |
cdb462d8f9dd594cae3d7de86231e3ea41c070cc
|
b8c622e51bcffa2531cd13b59fc8d5490382cb2a
|
/relational_models/examples/urls.py
|
8a60bb573a8847298c97e32055039afe9d373a05
|
[] |
no_license
|
anur/django_templates
|
630059568497c2f907089ecdeeca55dcb5f4c824
|
e55e7ae94062ffa930ec8b4559d0251e296e231d
|
refs/heads/master
| 2022-04-13T12:01:17.031406 | 2020-04-07T23:09:22 | 2020-04-07T23:09:22 | null | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 125 |
py
|
from django.urls import path
from . import views
urlpatterns = [
path('', views.template_view, name="template_view"),
]
|
[
"[email protected]"
] | |
c0c0c40c4421b78fb74b7276471ce3e8d9e591d9
|
e876989dc598d6e1a48c2bcfdec1ab091cdc8e3d
|
/migrations/0001_initial.py
|
caf9f21d0a4286404cbbfabbe91b3dc09b12e816
|
[] |
no_license
|
quanted/hwbi_app
|
dfb7541f143a6ec130b1728b4ca1968179eb757b
|
80b401eea49e42c29e1982f2fa6bf4593f33a169
|
refs/heads/dev
| 2021-01-12T03:32:52.629880 | 2020-02-17T15:00:16 | 2020-02-17T15:00:16 | 78,229,818 | 2 | 0 | null | 2020-04-03T13:37:32 | 2017-01-06T18:42:03 |
Python
|
UTF-8
|
Python
| false | false | 2,041 |
py
|
# -*- coding: utf-8 -*-
# Generated by Django 1.10.6 on 2017-03-29 20:13
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='BaselineScore',
fields=[
('county_FIPS', models.TextField(max_length=5, primary_key=True, serialize=False)),
('stateID', models.TextField(max_length=2)),
('state', models.TextField(max_length=20)),
('county', models.TextField(max_length=30)),
('serviceID', models.TextField(max_length=3)),
('serviceName', models.TextField(max_length=10)),
('description', models.TextField(max_length=50)),
('serviceType', models.TextField(max_length=15)),
('name', models.TextField(max_length=15)),
],
options={
'ordering': ('state', 'county', 'serviceID'),
},
),
migrations.CreateModel(
name='Domain',
fields=[
('domainID', models.TextField(max_length=10, primary_key=True, serialize=False)),
('domainName', models.TextField(max_length=25)),
('name', models.TextField(max_length=20)),
],
),
migrations.CreateModel(
name='Service',
fields=[
('serviceID', models.TextField(max_length=3, primary_key=True, serialize=False)),
('serviceTypeID', models.TextField(max_length=10)),
('serviceName', models.TextField(max_length=50)),
('serviceTypeName', models.TextField(max_length=10)),
('description', models.TextField(max_length=50)),
('name', models.TextField(max_length=50)),
],
options={
'ordering': ('serviceID', 'serviceName'),
},
),
]
|
[
"[email protected]"
] | |
21a86b46c8032fc41d1ddd1e1ebd07a990320841
|
a1372b7c523a1865d685809e3c5d887b108650a3
|
/f5lbaasdriver/test/tempest/plugin.py
|
2174a5bc842cf72392f0834f292f27a9607d5ed8
|
[
"Apache-2.0",
"LicenseRef-scancode-generic-cla"
] |
permissive
|
sapcc/f5-openstack-lbaasv2-driver
|
40effa342bea504c779eccd6828ae236b956c478
|
923f085dc71540a1399d439098081fe6cf2c82df
|
refs/heads/master
| 2021-01-11T21:01:07.544680 | 2019-10-23T06:20:10 | 2019-10-23T06:20:10 | 81,066,211 | 1 | 1 |
Apache-2.0
| 2019-10-23T06:20:11 | 2017-02-06T08:43:55 |
Python
|
UTF-8
|
Python
| false | false | 1,432 |
py
|
# Copyright 2015
# All Rights Reserved.
#
# 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 os
from tempest import config
from tempest.test_discover import plugins
from f5lbaasdriver.test.tempest import config as project_config
class F5LBaaSv2DriverTempestPlugin(plugins.TempestPlugin):
def load_tests(self):
base_path = os.path.split(os.path.dirname(
os.path.abspath(__file__)))[0]
test_dir = "f5lbaasdriver/test/tempest/tests"
full_test_dir = os.path.join(base_path, test_dir)
return full_test_dir, base_path
def register_opts(self, conf):
config.register_opt_group(conf, project_config.f5_lbaasv2_driver_group,
project_config.f5_lbaasv2_driver_opts)
def get_opt_lists(self):
return [(project_config.f5_lbaasv2_driver_group.name,
project_config.f5_lbaasv2_driver_opts)]
|
[
"[email protected]"
] | |
c2636d7dbc2e6eae32c63003498b67df7c85ade0
|
ea7f859964ff0c06223b72cb9288522620c89409
|
/handle_blog/__init__.py
|
b33a2639e3e7de4499a5cdfc96d400090f036bf7
|
[] |
no_license
|
mudou192/TornadoBlog
|
50c86ee25a50c1f165e6470aefcb7a773cfb50b3
|
fb709ad5b368377cf8fdc247e71d51a97062b9b5
|
refs/heads/master
| 2021-01-18T19:53:01.832829 | 2017-04-05T09:22:11 | 2017-04-05T09:22:11 | 86,919,046 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 7,862 |
py
|
#coding=utf8
'''
Created on 2016-12-8
@author: xuwei
@summary: 浏览页面
'''
import time,os,re,json
from common.traceback_error import get_err_msg
from common.config import Config
from setting import BlogDataPath
from setting import ImageDataPath
from mysql_contate import MySQLHandler as MysqlHandler
from common.basehandler import NoAuthHandler
from common.basehandler import AuthHandler
class CreateBlogHandler(AuthHandler):
def do_something(self):
try:
flag = self.check_request_type('get')
if not flag:
raise Exception('Request type error')
is_admin = self.check_admin()
if not is_admin:
raise Exception('No permission error')
group_infos = MysqlHandler.select_group_info(is_admin)
datetime = time.strftime("%Y-%m-%d %H:%M:%S")
self.render('createBlog.html',datetime = datetime,Check = '0',Privacy = 0,Subject = '',Content = '',PostUrl = '/saveblog',
GroupInfos = group_infos,IsAdmin = is_admin)
except:
get_err_msg()
self.render('error.html',message = 'Something wrong with the server.')
class EditBlogHandler(AuthHandler):
def get_url_values(self,urls):
if len(urls) == 2:
blogId = urls[1]
else:
raise Exception('Request url error')
return blogId
def get_file_content(self,FileName):
filename = os.path.join(BlogDataPath,FileName)
with open(filename,'rb') as fp:
content = fp.read()
return content
def do_something(self):
try:
flag = self.check_request_type('get')
if not flag:
raise Exception('Request type error')
is_admin = self.check_admin()
if not is_admin:
raise Exception('No permission error')
urls = self.get_url_parts()
BlogId = self.get_url_values(urls)
info = MysqlHandler.select_blog_info(BlogId,is_admin)
group_infos = MysqlHandler.select_group_info(is_admin)
GroupCode = info[0]
Subject = info[1]
FileName = info[2]
datetime = info[3]
Privacy = info[5]
if Privacy == 0:
Privacy = False
PostUrl = '/uploadblog?blogId=%s&filename=%s'%(BlogId,FileName)
Content = self.get_file_content(FileName)
self.render('createBlog.html',datetime = datetime,Check = GroupCode,Privacy = Privacy,Subject = Subject,Content = Content,
PostUrl = PostUrl,GroupInfos = group_infos,IsAdmin = is_admin)
except:
get_err_msg()
self.render('error.html',message = 'Something wrong with the server.')
class SaveBlogHander(AuthHandler):
def save_file(self,message):
filename = os.path.join(BlogDataPath,time.strftime("%Y%m%d%H%M%S") + ".html")
with open(filename,'wb') as fp:
fp.write(message)
return os.path.split(filename)[1]
def do_something(self):
try:
flag = self.check_request_type('post')
if not flag:
raise Exception('Request type error')
is_admin = self.check_admin()
if not is_admin:
raise Exception('No permission error')
username = self.get_current_user()
groupcode = self.get_argument('category')
subject = self.get_argument('subject')
message = self.get_argument('message')
privacy = self.get_argument('privacy')
FileName = self.save_file(message)
Addtime = time.strftime("%Y-%m-%d %H:%M:%S")
MysqlHandler.insertdata(subject, username, Addtime, FileName, groupcode, privacy)
self.redirect('/')
except:
get_err_msg()
self.render('error.html',message = 'Something wrong with the server.')
class UploadBlogHander(AuthHandler):
def save_file(self,message,filename):
filename = os.path.join(BlogDataPath,filename)
with open(filename,'wb') as fp:
fp.write(message)
def do_something(self):
try:
flag = self.check_request_type('post')
if not flag:
raise Exception('Request type error')
is_admin = self.check_admin()
if not is_admin:
raise Exception('No permission error')
blogId = self.get_argument('blogId')
filename = self.get_argument('filename')
groupcode = self.get_argument('category')
subject = self.get_argument('subject')
message = self.get_argument('message')
privacy = self.get_argument('privacy')
self.save_file(message,filename)
UpdateTime = time.strftime("%Y-%m-%d %H:%M:%S")
MysqlHandler.updatablog(subject,UpdateTime,groupcode,blogId,privacy)
self.redirect('/')
except:
get_err_msg()
self.render('error.html',message = 'Something wrong with the server.')
class WatchBlogHandler(NoAuthHandler):
def get_url_values(self,urls):
if len(urls) == 2:
blogId = urls[1]
else:
raise Exception('Request url error')
return blogId
def get_file_content(self,FileName):
filename = os.path.join(BlogDataPath,FileName)
with open(filename,'rb') as fp:
content = fp.read()
return content
def do_something(self):
try:
flag = self.check_request_type('get')
if not flag:
raise Exception('Request type error')
is_admin = self.check_admin()
urls = self.get_url_parts()
blogId = self.get_url_values(urls)
info = MysqlHandler.select_blog_info(blogId,is_admin)
if info:
GroupCode = info[0]
Subject = info[1]
FileName = info[2]
datetime = info[3]
Views = info[4]
Privacy = info[5]
else:
self.redirect('/')
return
group_infos = MysqlHandler.select_group_info(is_admin)
lastpagenum,lasttitle = MysqlHandler.get_last_next_blog_info(blogId,GroupCode,IsLast=True)
nextpagenum,nexttitle = MysqlHandler.get_last_next_blog_info(blogId,GroupCode,IsLast=False)
blogdata = self.get_file_content(FileName)
blogInfo = [Subject,datetime,blogdata,Views]
self.render('blog.html', BlogInfo = blogInfo,GroupInfos = group_infos,BlogId = blogId,IsAdmin = is_admin,
lastpagenum=lastpagenum,lasttitle=lasttitle,nextpagenum=nextpagenum,nexttitle=nexttitle,Privacy = Privacy)
except:
get_err_msg()
self.render('error.html',message = 'Something wrong with the server.')
class DelBlogHandler(AuthHandler):
def get_url_values(self,urls):
if len(urls) == 2:
blogId = urls[1]
else:
raise Exception('Request url error')
return blogId
def do_something(self):
try:
flag = self.check_request_type('get')
if not flag:
raise Exception('Request type error')
is_admin = self.check_admin()
if not is_admin:
raise Exception('No permission error')
urls = self.get_url_parts()
BlogId = self.get_url_values(urls)
MysqlHandler.del_blog(BlogId)
self.redirect('/')
except:
get_err_msg()
self.render('error.html',message = 'Something wrong with the server.')
|
[
"[email protected]"
] | |
7fee07df651ff18964eca7846fe20d623465fb46
|
e51f0c3cb7e9d2c6adafa0271b6f808301a8a278
|
/bin/sendEmail.py
|
04165f8ac9dc61e42b061a2cb93bd07ce703c13d
|
[] |
no_license
|
anke5156/hipDataLoad
|
61c481e961e062b3e7e7de2de05fef51ef0d0f77
|
e7422c3467574446d6e67ca0a3675aecb35bc178
|
refs/heads/master
| 2022-07-04T00:03:15.315392 | 2020-05-05T09:07:21 | 2020-05-05T09:07:21 | 258,818,813 | 1 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 1,300 |
py
|
#!/usr/bin/python
# -*- coding: UTF-8 -*-
import smtplib
from email.mime.text import MIMEText
from email.header import Header
'''
@author: anke
@contact: [email protected]
@file: sendEmail.py
@time: 2020/4/27 10:11 AM
@desc:
'''
class Mail(object):
def __init__(self):
self.mailhost = 'smtp.qq.com'
self.mailport = '465'
self.mailuser = '[email protected]'
self.mailpass = ''
self.receiver = '[email protected]'
def send(self, subjecttxt='NB Health Report', ctt=''):
message = MIMEText(ctt, 'plain', 'utf-8')
message['from'] = Header('NB office', 'utf-8')
message['to'] = Header('Monitor', 'utf-8')
message['Subject'] = Header(subjecttxt, 'utf-8')
try:
smtpObj = smtplib.SMTP(self.mailhost, self.mailport)
# smtpObj.ehlo()
# smtpObj.starttls()
smtpObj.login(self.mailuser, self.mailpass)
smtpObj.sendmail(self.mailuser, self.receiver, message.as_string())
smtpObj.quit()
print('send mail successfully!')
except smtplib.SMTPException as e:
print('send mail error: %s' % e)
if __name__ == '__main__':
mail = Mail()
mail.send('NB Health Report', 'ALL Healthy')
|
[
"[email protected]"
] | |
08b6a5445417b9f2181b89f274c6b1c9883307d9
|
4f672b97bf290d664d63662943fe5d07ab594940
|
/mysite/mysite/settings.py
|
46673a1f048e3b982ece75572223c14ec8e3885b
|
[
"Apache-2.0"
] |
permissive
|
tylerelston/cmput404-lab4
|
9d265b4e193347e06554a1fefa58ac9fc3c581f1
|
4b71823be1b6abfbecc1972ba8c72b52ac8ecd7e
|
refs/heads/main
| 2023-08-19T02:51:32.198851 | 2021-09-30T00:40:52 | 2021-09-30T00:40:52 | 411,855,058 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 3,092 |
py
|
"""
Django settings for mysite project.
Generated by 'django-admin startproject' using Django 3.1.6.
For more information on this file, see
https://docs.djangoproject.com/en/3.1/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.1/ref/settings/
"""
from pathlib import Path
# Build paths inside the project like this: BASE_DIR / 'subdir'.
BASE_DIR = Path(__file__).resolve().parent.parent
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/3.1/howto/deployment/checklist/
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = '97m^b&x$7__&)d2+%g&*wt-aqd*8$*qm^@ts4-k5$np_0)qh2a'
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = True
ALLOWED_HOSTS = []
# Application definition
INSTALLED_APPS = [
'polls.apps.PollsConfig',
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.messages',
'django.contrib.staticfiles',
]
MIDDLEWARE = [
'django.middleware.security.SecurityMiddleware',
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.common.CommonMiddleware',
'django.middleware.csrf.CsrfViewMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
'django.middleware.clickjacking.XFrameOptionsMiddleware',
]
ROOT_URLCONF = 'mysite.urls'
TEMPLATES = [
{
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'DIRS': [],
'APP_DIRS': True,
'OPTIONS': {
'context_processors': [
'django.template.context_processors.debug',
'django.template.context_processors.request',
'django.contrib.auth.context_processors.auth',
'django.contrib.messages.context_processors.messages',
],
},
},
]
WSGI_APPLICATION = 'mysite.wsgi.application'
# Database
# https://docs.djangoproject.com/en/3.1/ref/settings/#databases
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': BASE_DIR / 'db.sqlite3',
}
}
# Password validation
# https://docs.djangoproject.com/en/3.1/ref/settings/#auth-password-validators
AUTH_PASSWORD_VALIDATORS = [
{
'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator',
},
]
# Internationalization
# https://docs.djangoproject.com/en/3.1/topics/i18n/
LANGUAGE_CODE = 'en-us'
TIME_ZONE = 'UTC'
USE_I18N = True
USE_L10N = True
USE_TZ = True
# Static files (CSS, JavaScript, Images)
# https://docs.djangoproject.com/en/3.1/howto/static-files/
STATIC_URL = '/static/'
|
[
"[email protected]"
] | |
71e80c8baff21dad8146daa3a3b794eb395334e5
|
4c63edb34dbc6e7d3a07da10f25f23469824d36c
|
/session5/add.py
|
076ae05115291ea142b026360211d4a9e23d32e5
|
[] |
no_license
|
KKAiser97/trantrungkien-fundamentals-c4e26
|
59a3c22433dfec85a778a8fc231f429080a6abc3
|
0812ad0061e6ff1aeb7928dfc3464f7b7f2cb193
|
refs/heads/master
| 2020-04-19T16:12:49.364161 | 2019-03-17T09:47:59 | 2019-03-17T09:47:59 | 168,297,639 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 93 |
py
|
# fruitful func
def add(x,y):
s=x+y
print(s)
return s
t=add(3,5)
print(t)
|
[
"[email protected]"
] | |
11d717a2f9e739efed56345d3582c110d0476657
|
670340c954be7ea599661ab282149943a737509e
|
/main.py
|
af92e165ae8bb88e62e01452056296f8fda5b357
|
[] |
no_license
|
eason-lee/tweet
|
f4d430afb953139d6fe486bc5562da300adcf7b0
|
2be38a816a947b74bf52d96ec082274c55214028
|
refs/heads/master
| 2020-09-16T23:21:44.826990 | 2016-10-06T03:51:22 | 2016-10-06T03:51:22 | 67,691,313 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 427 |
py
|
from app import init_app
from app import models
def rebuild_db():
# 必须初始化 app 才能操作数据库
app = init_app()
db = models.db
db.drop_all()
db.create_all()
print('auth rebuild database')
def run():
config = dict(
# host = '0.0.0.0',
# port = 3000,
debug=True,
)
init_app().run(**config)
if __name__ == '__main__':
# rebuild_db()
run()
|
[
"[email protected]"
] | |
71cd78ee38557b185c3fa322794243305c8f1384
|
afdfe1d456fa784c6ec281e27dfb9b232ec14de5
|
/app/server/models/user.py
|
d38cb2a35f45ba1bdc6f0d6d1eac3f9849ffffe1
|
[] |
no_license
|
ebubekir/library-api
|
438d8bcd4e23450bd3a8ab2b581a92eab5cbab9f
|
02ce55d0e8484afa6394012f8b046843089c2a8e
|
refs/heads/main
| 2023-04-14T13:26:05.805151 | 2021-04-26T23:39:37 | 2021-04-26T23:39:37 | 361,742,025 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 875 |
py
|
from typing import Optional
from pydantic import BaseModel, Field
class UserSchema(BaseModel):
firstname: str = Field(...)
lastname: str = Field(...)
class Config:
schema_extra = {
"example":{
"firstname": "John",
"lastname": "Doe"
}
}
class UpdateUserModel(BaseModel):
firstname: Optional[str]
lastname: Optional[str]
class Config:
schema_extra = {
"example":{
"firstname": "Mike",
"lastname": "Doe"
}
}
def ResponseModel(data, message):
return {
"data":[data],
"code":200,
"message":message
}
def ErrorResponseModel(error, code, message):
return {
"error": error,
"code": code,
"message": message
}
|
[
"[email protected]"
] | |
fd8a249b1f44b14a3c11896e5a12e1c86a1988e9
|
372a0eb8d3be3d40b9dfb5cf45a7df2149d2dd0d
|
/charles/Week 07/lab08/lab08.py
|
198fffad72e36dfcdfe4b7505ec51e6fe007c177
|
[] |
no_license
|
charlesfrye/cs61a-summer2015
|
5d14b679e5bea53cfa26c2a6a86720e8e77c322c
|
1f5c0fbf5dce5d1322285595ca964493d9adbdfe
|
refs/heads/master
| 2016-08-07T06:06:09.335913 | 2015-08-21T00:33:25 | 2015-08-21T00:33:25 | 38,509,126 | 0 | 0 | null | null | null | null |
UTF-8
|
Python
| false | false | 2,460 |
py
|
## Linked Lists and Sets ##
# Linked Lists
class Link:
"""A linked list.
>>> s = Link(1, Link(2, Link(3, Link(4))))
>>> len(s)
4
>>> s[2]
3
>>> s
Link(1, Link(2, Link(3, Link(4))))
"""
empty = ()
def __init__(self, first, rest=empty):
assert rest is Link.empty or isinstance(rest, Link)
self.first = first
self.rest = rest
def __getitem__(self, i):
if i == 0:
return self.first
else:
return self.rest[i-1]
def __len__(self):
return 1 + len(self.rest)
def __repr__(self):
if self.rest is not Link.empty:
rest_str = ', ' + repr(self.rest)
else:
rest_str = ''
return 'Link({0}{1})'.format(repr(self.first), rest_str)
def slice_link(link, start, end):
"""Slices a Link from start to end (as with a normal Python list).
>>> link = Link(3, Link(1, Link(4, Link(1, Link(5, Link(9))))))
>>> slice_link(link, 1, 4)
Link(1, Link(4, Link(1)))
"""
if start == end:
return Link.empty
return Link(link[start],slice_link(link.rest,0,end-1-start))
# Sets
def union(s1, s2):
"""Returns the union of two sets.
>>> r = {0, 6, 6}
>>> s = {1, 2, 3, 4}
>>> t = union(s, {1, 6})
>>> t
{1, 2, 3, 4, 6}
>>> union(r, t)
{0, 1, 2, 3, 4, 6}
"""
union_set = set()
for element in s1:
union_set.add(element)
for element in s2:
union_set.add(element)
return union_set
def intersection(s1, s2):
"""Returns the intersection of two sets.
>>> r = {0, 1, 4, 0}
>>> s = {1, 2, 3, 4}
>>> t = intersection(s, {3, 4, 2})
>>> t
{2, 3, 4}
>>> intersection(r, t)
{4}
"""
intersect = set()
for element in s1:
if element in s2:
intersect.add(element)
return intersect
def extra_elem(a,b):
"""B contains every element in A, and has one additional member, find
the additional member.
>>> extra_elem(['dog', 'cat', 'monkey'], ['dog', 'cat', 'monkey', 'giraffe'])
'giraffe'
>>> extra_elem([1, 2, 3, 4, 5], [1, 2, 3, 4, 5, 6])
6
"""
return list(set(b)-set(a))[0]
def find_duplicates(lst):
"""Returns True if lst has any duplicates and False if it does not.
>>> find_duplicates([1, 2, 3, 4, 5])
False
>>> find_duplicates([1, 2, 3, 4, 2])
True
"""
return len(set(lst)) != len(lst)
|
[
"[email protected]"
] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.