text stringlengths 0 1.05M | meta dict |
|---|---|
__author__ = "Sean Toner"
__license__ = "Apache License 2.0"
__version__ = "0.1"
__email__ = "stoner@redhat.com"
__status__ = "Alpha"
from iridium.core.exceptions import ArgumentError
from iridium import add_client_to_path
from iridium.plugins.inspector import Plugin
DEBUG = False
add_client_to_path(debug=DEBUG)
fro... | {
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__author__ = "Sean Toner"
__license__ = "Apache License 2.0"
__version__ = "0.1"
__email__ = "stoner@redhat.com"
__status__ = "Alpha"
from subprocess import Popen, PIPE, STDOUT
import threading
import os
import shlex
from functools import wraps
try:
import queue
except ImportError:
import Queue as queue
from ... | {
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"path": "iridium/core/commander.py",
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__author__ = "Sean Toner"
__license__ = "Apache License 2.0"
__version__ = "0.1"
__email__ = "stoner@redhat.com"
__status__ = "Alpha"
try:
from urllib.request import urlopen
from urllib.parse import urlparse as urlparse
except ImportError:
from urllib2 import urlopen
from urlparse import urlparse
impo... | {
"repo_name": "Toure/Iridium",
"path": "iridium/core/downloader.py",
"copies": "1",
"size": "4103",
"license": "apache-2.0",
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__author__ = 'Sean Yu'
'''created @2015/10/12'''
import unittest
import os
import sys
import time
import subprocess, signal
if os.name =='nt':
pass#import win32api
def handler_ctrl_c(sig, func=None):
return True
def signal_handler(signal, frame):
time.sleep(1)
print 'Ctrl+C received in wrapper.py'
#signal... | {
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"path": "lib/shell.py",
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"license": "mit",
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"autogenerated": false,
"ratio": 4.134436401240952,
"config_test": false,
"has_no_k... |
__author__ = 'Sean Yu'
'''created @2015/10/12'''
import unittest
import os
import sys
pardir =os.path.dirname(os.path.realpath(os.getcwd()))
sys.path.append(os.path.sep.join([pardir,'lib']))
from dut import dut
import time
import subprocess
try:
from Queue import Queue, Empty
except ImportError:
from queue impo... | {
"repo_name": "try-dash-now/idash",
"path": "dut/powershell.py",
"copies": "1",
"size": "6342",
"license": "mit",
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"autogenerated": false,
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"config_test": false,
"... |
__author__ = 'Sean Yu'
'''created @2015/11/25'''
import cmd, sys
from turtle import *
import re
reSSHcmd = re.compile('ssh\s+(([\w.]+)@([\w.]+)|(\w+)@([\w.]+)\s*:\s*(\d+))', re.I)
s1 = 'root@test.com'
s2 = 'root2@test2.com:22'
m1 = re.match(reSSHcmd,s1)
m2= re.match(reSSHcmd,s2)
str = '2d22h13m20s'
a=re.sub('\d\[mh]',... | {
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"path": "test.py",
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"license": "mit",
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"alpha_frac": 0.5887339349,
"autogenerated": false,
"ratio": 3.2593582887700534,
"config_test": false,
"has_no_keyw... |
__author__ = 'Sean Yu'
'''created @2015/12/4'''
import os, sys,time , traceback
pardir =os.path.dirname(os.path.realpath(os.getcwd()))
subfolder = ['lib', 'dut']
for sub in subfolder:
libpath = os.path.sep.join([pardir,sub])
if libpath not in sys.path:
sys.path.insert(0,libpath)
import paramiko as ss... | {
"repo_name": "try-dash-now/idash",
"path": "lib/SSH.py",
"copies": "1",
"size": "4915",
"license": "mit",
"hash": -253672250482170900,
"line_mean": 36.5190839695,
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"alpha_frac": 0.5163784334,
"autogenerated": false,
"ratio": 4.031993437243642,
"config_test": false,
"has_no_ke... |
__author__ = 'Sean Yu'
'''created @2015/5/28'''
import telnetlib
import WinSession # for py2exe bin distribution
import traceback
import sys,os
import threading
from Case import Case
from common import bench2dict
import json
import re
import time
from cmd import Cmd
class IAshell(Cmd, object):
tabend='enable'
... | {
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"path": "lib/IAshell.py",
"copies": "1",
"size": "18072",
"license": "mit",
"hash": 2134951994781691600,
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"alpha_frac": 0.4836764055,
"autogenerated": false,
"ratio": 3.9074594594594596,
"config_test": false,
"h... |
__author__ = 'Sean Yu'
'''created @2015/6/11'''
import subprocess
import re, string
import os, sys
import telnetlib
import time
#import urllib2
#import urllib
#import cookielib
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.ui import Select
# from seleni... | {
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"path": "lib/WebSession.py",
"copies": "1",
"size": "9071",
"license": "mit",
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"autogenerated": false,
"ratio": 3.7529995862639636,
"config_test": false,
"... |
__author__ = 'Sean Yu'
'''created @2015/6/16'''
import os, sys
pardir =os.path.dirname(os.path.realpath(os.getcwd()))
libpath = os.path.sep.join([pardir,'lib'])
if libpath not in sys.path:
sys.path.insert(0,libpath)
import inspect
from Case import Case
caseInit = inspect.getsource(Case.__init__)
print(caseInit)
... | {
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"path": "test/dumpFunctionDefine.py",
"copies": "1",
"size": "1254",
"license": "mit",
"hash": 1689059560467019300,
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"alpha_frac": 0.5749601276,
"autogenerated": false,
"ratio": 3.207161125319693,
"config_test": false,
"has... |
__author__ = 'Sean Yu'
'''created @2015/7/2'''
import os,sys
pardir =os.path.dirname(os.path.realpath(__file__))
pardir= os.path.sep.join(pardir.split(os.path.sep)[:-1])
sys.path.append(os.path.sep.join([pardir,'lib']))
sys.path.append(os.path.sep.join([pardir,'test']))
sys.path.append(os.path.sep.join([pardir,'dut']))... | {
"repo_name": "try-dash-now/idash",
"path": "bin/ImportModule.py",
"copies": "1",
"size": "2267",
"license": "mit",
"hash": -8966367436945665000,
"line_mean": 22.1326530612,
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"alpha_frac": 0.6762240847,
"autogenerated": false,
"ratio": 3.0969945355191255,
"config_test": false,
... |
__author__ = 'Sean Yu'
'''created @2015/7/2'''
import time
import re as sre
class baseSession(object):
fSending = False
sutname=None
attrs =None
seslog=None
loginstep =None
argvs=None
kwargvs =None
InteractionBuffer=None
fInteractionMode=False
InteractionMatch =None
FailFlag=... | {
"repo_name": "try-dash-now/dash-ia",
"path": "lib/baseSession.py",
"copies": "1",
"size": "5115",
"license": "mit",
"hash": 9058554098386461000,
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"line_max": 134,
"alpha_frac": 0.5456500489,
"autogenerated": false,
"ratio": 3.8372093023255816,
"config_test": false,
... |
__author__ = 'Sean Yu'
'''created @2015/7/3'''
from Tkinter import Tk,Tcl
from baseSession import baseSession
class TclInter(baseSession):
tclInter=None
def __init__(self, name,attrs,logger=None, logpath=None):
baseSession.__init__(self, name, attrs, logger, logpath)
def __del__(self):
try:... | {
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"path": "lib/TclInter.py",
"copies": "1",
"size": "1441",
"license": "mit",
"hash": -8964200370703402000,
"line_mean": 27.82,
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"alpha_frac": 0.559333796,
"autogenerated": false,
"ratio": 3.5492610837438425,
"config_test": false,
"has_no_key... |
__author__ = 'Sean Yu'
'''created @2015/7/3'''
from Tkinter import Tk,Tcl
from dut import dut
class TclInter(dut):
tclInter=None
def __init__(self, name,attrs,logger=None, logpath=None, shareData=None):
dut.__init__(self, name, attrs, logger, logpath,shareData)
import threading
self.loc... | {
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"path": "lib/TclInter.py",
"copies": "1",
"size": "3212",
"license": "mit",
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"autogenerated": false,
"ratio": 4.00498753117207,
"config_test": false,
"has_no_keywor... |
__author__ = 'Sean Yu'
'''created @2015/9/14'''
import unittest
import os
import sys
pardir =os.path.dirname(os.path.realpath(os.getcwd()))
#pardir= os.path.sep.join(pardir.split(os.path.sep)[:-1])
sys.path.append(os.path.sep.join([pardir,'lib']))
logpath = './log'
cmd = 'telnet 192.168.1.113'
#cmd = 'telnet cdc-da... | {
"repo_name": "try-dash-now/idash",
"path": "test/ut_winTelnet.py",
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"autogenerated": false,
"ratio": 3.304909560723514,
"config_test": true,
"h... |
__author__ = 'Sean Yu'
'''created @2015/9/14'''
'''
a term is an interface to interoperate with Software/Device Under Test/Used
provides:
1. command sent to software/device
2. show the output, just the updated recently
3. searching given pattern from a given range, e.g. right after last command entered
'''
import trace... | {
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"path": "lib/dut.py",
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"size": "28543",
"license": "mit",
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"line_max": 196,
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"autogenerated": false,
"ratio": 4.077571428571429,
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"has_no_... |
__author__ = 'Sean Yu'
'''created @2015/9/29'''
import unittest
import os
import sys
import re, datetime
pardir =os.path.dirname(os.path.realpath(os.getcwd()))
subfolder = ['lib', 'dut']
for sub in subfolder:
libpath = os.path.sep.join([pardir,sub])
if libpath not in sys.path:
sys.path.insert(0,libpath... | {
"repo_name": "try-dash-now/idash",
"path": "lib/runner.py",
"copies": "1",
"size": "27897",
"license": "mit",
"hash": 8545875575581184000,
"line_mean": 36.749661705,
"line_max": 278,
"alpha_frac": 0.5407391476,
"autogenerated": false,
"ratio": 3.7325394701632324,
"config_test": false,
"has_n... |
__author__ = 'Sean Yu'
'''created @2016/4/22'''
from dut import dut
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.ui import Select
from pprint import pformat as pp
g_retry_counter = 10
def retry(fun):
def inner(*arg, **kwargs):
retry_counter ... | {
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__author__ = 'Sean Yu'
'''created @2016/4/26'''
import datetime,os, pprint
from common import bench2dict
from runner import createLogDir, createLogger, releaseDUTs, initDUT
class case(object):
error_message = None
fail_flag = False
bench_file = None
bench = None
log_dir = None
name = None
... | {
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"path": "lib/case.py",
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"autogenerated": false,
"ratio": 3.544196771714066,
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"has_no_k... |
__author__ = 'Sean Yu'
'''created @2017/10/09'''
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.ui import Select
import threading
import shlex
import traceback
class dash_web(object):
driver= None
output_buffer = None
output_locker = None
... | {
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"path": "lib/dash_web.py",
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"autogenerated": false,
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"has_... |
__author__ = 'Sean Yu'
'''created @2017/8/7'''
'''a telnet session'''
from telnetlib import Telnet as spawn
import socket
import select
# Tunable parameters
DEBUGLEVEL = 0
# Telnet protocol defaults
TELNET_PORT = 23
# Telnet protocol characters (don't change)
IAC = chr(255) # "Interpret As Command"
DONT = chr(254)
D... | {
"repo_name": "try-dash-now/gDasH",
"path": "lib/TELNET.py",
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"license": "mit",
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"line_max": 77,
"alpha_frac": 0.5371118947,
"autogenerated": false,
"ratio": 3.4086778070946937,
"config_test": false,
"has_no... |
__author__ = 'Sean Yu'
__mail__ = 'try.dash.now@gmail.com'
import shlex
import re as sre
import csv
import io#StringIO
import sys,traceback
class csv2case(object):
Debug= False
Var = []
Setup = []
Run = []
Teardown=[]
OnFail =[]
FileName =""
CaseName =""
reCaseName = None #
last... | {
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"ha... |
__author__ = "Sebastian Haase <haase@msg.ucsf.edu>"
__license__ = "BSD license - see LICENSE file"
# from wxPython.grid import *
import wx
import wx.grid
# from wx import grid
import numpy as N
#---------------------------------------------------------------------------
class HugeTable(wx.grid.PyGridTableBase):
... | {
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"path": "Chromagnon/Priithon/gridviewer.py",
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"con... |
__author__ = "Sebastian Haase <haase@msg.ucsf.edu>"
__license__ = "BSD license - see LICENSE file"
import numpy as N
log2 = N.log(2)
class viewerRubberbandMode:
def __init__(self, id=-1, rubberWhat='box', color=(0,1,0),
gfxWhenDone='hide', roiName='1'):
"""
id can be a viewerID... | {
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"path": "Chromagnon/Priithon/viewerRubberbandMode.py",
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... |
__author__ = "Sebastian Haase <haase@msg.ucsf.edu>"
__license__ = "BSD license - see LICENSE file"
import Priithon_bin.CCG_d as _CCG_d
import Priithon_bin.CCG_s as _CCG_s
import numpy as _N
"""
ccg ChangeLog
* starting out with ccg essentially from GPL Eden version
(2/24/95)
Author: Erik M. Johansson, transl... | {
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"path": "Chromagnon/Priithon/ccg.py",
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__author__ = "Sebastian Haase <haase@msg.ucsf.edu>"
__license__ = "BSD license - see LICENSE file"
import wx
#----------------------------------------------------------------------
class ClipTextPanel(wx.Panel):
def __init__(self, parent, log):
wx.Panel.__init__(self, parent, -1)
#self.SetFont(... | {
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__author__ = 'Sebastian Haenisch'
from robotide.pluginapi import Plugin
from robotide.pluginapi import ActionInfo
from robotide.pluginapi import RideLogMessage
from robotide.widgets.popupmenu import PopupMenuItem
import subprocess
import os
class ClearCasePlugin(Plugin):
"""
This plugin for RIDE implements C... | {
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"path": "ccplugin.py",
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__author__ = "Sebastian Kurscheid (sebastian.kurscheid@anu.edu.au)"
__license__ = "MIT"
__date__ = "2016-02-27"
# vim: syntax=python tabstop=4 expandtab
# coding: utf-8
"""
Rules for trimming reads with cutadapt
(http://cutadapt.readthedocs.org/en/latest/guide.html#illumina-truseq)
For usage, include this in your w... | {
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__author__ = "Sebastian Kurscheid (sebastian.kurscheid@anu.edu.au)"
__license__ = "MIT"
__date__ = "2016-04-22"
__modified__ = "2017-5-11"
from snakemake.exceptions import MissingInputException
import os
wrapper_dir = os.environ['HOME'] + "/Development/snakemake-wrappers/bio"
rule star_align_full:
version:
... | {
"repo_name": "JCSMR-Tremethick-Lab/HP1-alpha",
"path": "snakemake/rules/run_STAR.py",
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"autogenerated": false,
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"co... |
__author__ = 'sebastian'
import sys
import time
import scipy.io as si
def load_label(in_path):
f = open(in_path, 'rb')
lines = f.readlines()
uselines = []
for line in lines:
useline = line.strip()
uselines.append(useline)
f.close()
return uselines
def load_matrix(in_path):
... | {
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"license": "mit",
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"autogenerated": false,
"ratio": 3.0102639296187683,
"config_test": false,
"has_no_k... |
__author__ = 'Sebastian'
from collections import OrderedDict
from datetime import datetime
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import matplotlib.cbook as cbook
def parse_commit_dates(filename, dates=dict()):
""" needs date file
* one line per date
* format: YYYY-mm-dd
... | {
"repo_name": "skyborla/timeline",
"path": "timeline.py",
"copies": "1",
"size": "1450",
"license": "unlicense",
"hash": 1741621995028492300,
"line_mean": 22.7868852459,
"line_max": 77,
"alpha_frac": 0.6020689655,
"autogenerated": false,
"ratio": 3.4523809523809526,
"config_test": false,
"has... |
__author__ = 'Sebastian Poreba (sebastian@smashinglabs.pl)'
class Board(object):
"""Keeps information about surroundings - items and walls"""
def __init__(self):
self.walls_ = [[]]
self.width = 0
self.height = 0
self.pxScale = 32
self.readMapFile('assets/map1.txt')
... | {
"repo_name": "fridek/uj-gamedev-pygame",
"path": "board.py",
"copies": "1",
"size": "1052",
"license": "mit",
"hash": -4527948079465819000,
"line_mean": 21.3829787234,
"line_max": 64,
"alpha_frac": 0.5019011407,
"autogenerated": false,
"ratio": 3.4719471947194718,
"config_test": false,
"has_... |
__author__ = 'Sebastian Poreba (sebastian@smashinglabs.pl)'
import pygame
import sys, os, math
sys.path.append('./third_party')
from pygame.locals import *
from random import randint, choice
from vec2d import vec2d
from player import Player
from creep import Creep
from board import Board
SCREEN_WIDTH, SCREEN_HEIGH... | {
"repo_name": "fridek/uj-gamedev-pygame",
"path": "init.py",
"copies": "1",
"size": "3746",
"license": "mit",
"hash": -8565700841768130000,
"line_mean": 26.3430656934,
"line_max": 82,
"alpha_frac": 0.6147891084,
"autogenerated": false,
"ratio": 3.2917398945518452,
"config_test": false,
"has_n... |
# Send the current open image over to MATLAB using ReadImage6D.m --> has to be on the MATLAB path !!!
from System.Runtime.InteropServices import Marshal
from System.IO import Path, File, Directory, FileInfo
import os
CZIfiles_short = []
CZIdict = {}
# get all open documents
opendocs = Zen.Application.Documen... | {
"repo_name": "sebi06/ZEN_Matlab",
"path": "ML_SendCZI_Dialog.py",
"copies": "1",
"size": "1782",
"license": "bsd-2-clause",
"hash": 8417540726732056000,
"line_mean": 31.6226415094,
"line_max": 101,
"alpha_frac": 0.6790123457,
"autogenerated": false,
"ratio": 3.1099476439790577,
"config_test": ... |
__author__ = 'sebastians'
# PyMOL Animation Tutorials -- 04 - Animation
# This tutorial will show you how to connect the scenes and thus animate the movie.
# Import all necessary modules
import pymol
from pymol import cmd
# The custom viewpoint
closeup = '''
-0.775189936, 0.267432511, -0.572329581,\
0.... | {
"repo_name": "ssalentin/pymol-animations",
"path": "tutorials/basics/04-animation.py",
"copies": "1",
"size": "2972",
"license": "mit",
"hash": 2035280441460718300,
"line_mean": 41.4571428571,
"line_max": 115,
"alpha_frac": 0.6968371467,
"autogenerated": false,
"ratio": 3.195698924731183,
"con... |
__author__ = 'sebastians'
# PyMOL Animation Tutorials -- 05 - Camera Movements
# This tutorial will show you how to add more camera movements to your animation
# Import all necessary modules
import pymol
from pymol import cmd
# The custom viewpoint
closeup = '''
-0.775189936, 0.267432511, -0.572329581,\
... | {
"repo_name": "ssalentin/pymol-animations",
"path": "tutorials/basics/05-camera-movements.py",
"copies": "1",
"size": "3349",
"license": "mit",
"hash": -2735350421233252000,
"line_mean": 37.4942528736,
"line_max": 108,
"alpha_frac": 0.6900567334,
"autogenerated": false,
"ratio": 3.171401515151515... |
__author__ = 'sebastians'
# PyMOL Animation Tutorials -- 06 - Finish
# This tutorial will show you how to pretty up your animation and output a movie
# Import all necessary modules
import pymol
from pymol import cmd
# The custom viewpoint
closeup = '''
-0.775189936, 0.267432511, -0.572329581,\
0.387867... | {
"repo_name": "ssalentin/pymol-animations",
"path": "tutorials/basics/06-finish.py",
"copies": "1",
"size": "3869",
"license": "mit",
"hash": 8731634831465251000,
"line_mean": 33.8558558559,
"line_max": 118,
"alpha_frac": 0.6828637891,
"autogenerated": false,
"ratio": 3.135332252836305,
"config... |
__author__ = 'Sebastian Urchs'
# Imports
import os
import re
import sys
import glob
import copy
import numpy as np
import nibabel as nib
from .. import tools as to
if sys.version_info >= (3, 0):
from builtins import any as b_any
else:
from __builtin__ import any as b_any
def grab_files(path, ext, sub=None, d... | {
"repo_name": "surchs/brainbox",
"path": "load/base.py",
"copies": "1",
"size": "8969",
"license": "mit",
"hash": 4009156347374286000,
"line_mean": 36.375,
"line_max": 117,
"alpha_frac": 0.5523469729,
"autogenerated": false,
"ratio": 3.662311147407105,
"config_test": false,
"has_no_keywords":... |
__author__ = 'Sebsebeleb'
import numpy as np
import cocos.tiles
import _pathfinding
pathf = None
tw = 0
th = 0
class MapCollider(cocos.tiles.RectMapCollider):
"""Makes sure entities confirm to the map.
Is equivalent to cocos2d's RectMapCollider except it does not check for tile properties (the map should... | {
"repo_name": "BadlybadGames/RPGame-3.0",
"path": "src/game/collision.py",
"copies": "1",
"size": "2500",
"license": "mit",
"hash": 1771992608159316700,
"line_mean": 28.7619047619,
"line_max": 110,
"alpha_frac": 0.5972,
"autogenerated": false,
"ratio": 3.2851511169513796,
"config_test": false,
... |
__author__ = 'Security'
import urllib.request as r
import json
from pprint import pprint
ACCESS_TOKEN = "822117162.e9ef95d.16e81916674b46f9a9988a052a53fe7c"
"""
### ^^ ^^
### ПЕП-8 идет нахуй 00 00
### \___/
"""
def pictures_by_locat... | {
"repo_name": "IKholopov/HackUPC2017",
"path": "hackupc/instagram_scrabber.py",
"copies": "1",
"size": "2876",
"license": "apache-2.0",
"hash": 6015163305110155000,
"line_mean": 33.5060240964,
"line_max": 154,
"alpha_frac": 0.5715782123,
"autogenerated": false,
"ratio": 3.116430903155604,
"conf... |
### the "optimal"/chosen parameters are (can be modify when desi_qso_mgii_afterburner is called):
### lambda_width = 250
### max_sigma = 200
### min_sigma = 10
### min_deltachi2 = 16
### min_signifiance_A = 3
### min_A = 0
import sys
import numpy as np
from astropy.table import Ta... | {
"repo_name": "desihub/desispec",
"path": "py/desispec/mgii_afterburner.py",
"copies": "1",
"size": "20179",
"license": "bsd-3-clause",
"hash": 322786158664513340,
"line_mean": 44.2443946188,
"line_max": 180,
"alpha_frac": 0.5504732643,
"autogenerated": false,
"ratio": 3.941980855635866,
"confi... |
__author__ = 'sei'
from PIStage._base import Controller
import math
class E545(Controller):
def __init__(self, ip=None, port=None, coordinate_mapping = None, z_correction_angle = None):
#super(E545, self).__init__()
super().__init__(ip=ip,port=port,coordinate_mapping=coordinate_mapping,z_correctio... | {
"repo_name": "sdickreuter/python-pistage",
"path": "PIStage/Controllers/E545.py",
"copies": "1",
"size": "5348",
"license": "mit",
"hash": 4417371481470983700,
"line_mean": 32.8544303797,
"line_max": 117,
"alpha_frac": 0.4446522064,
"autogenerated": false,
"ratio": 3.367758186397985,
"config_t... |
__author__ = 'sei'
from PIStage._base import Controller
class E545(Controller):
def __init__(self, ip=None, port=None):
#super(E545, self).__init__()
super().__init__(ip=ip,port=port)
self._sock.send(bytes('ONL 1 1 2 1 3 1\n','UTF-8'))
self._sock.send(bytes('SVO A 1 B 1 C 1\n','UT... | {
"repo_name": "sdickreuter/python-pistage",
"path": "build/lib/PIStage/Controllers/E545.py",
"copies": "1",
"size": "4150",
"license": "mit",
"hash": -6281580722169150000,
"line_mean": 31.6850393701,
"line_max": 102,
"alpha_frac": 0.4421686747,
"autogenerated": false,
"ratio": 3.493265993265993,
... |
__author__ = 'sei'
import socket
import sys
import time
def recv_timeout(the_socket, timeout=2):
# make socket non blocking
the_socket.setblocking(0)
#total data partwise in an array
total_data = []
addr = None
#beginning time
begin = time.time()
while 1:
#if you got some da... | {
"repo_name": "sdickreuter/python-pistage",
"path": "test/test2.py",
"copies": "1",
"size": "2118",
"license": "mit",
"hash": 1921987502020703700,
"line_mean": 23.0681818182,
"line_max": 75,
"alpha_frac": 0.6232294618,
"autogenerated": false,
"ratio": 3.5477386934673367,
"config_test": false,
... |
__author__ = 'sei'
import socket
import time
import sys
import multiprocessing
class Controller(object):
def __init__(self, ip=None, port=None, coordinate_mapping = None, z_correction_angle = None):
self.is_initialized = False
received = None
self._lock = multiprocessing.Lock()
sel... | {
"repo_name": "sdickreuter/python-pistage",
"path": "PIStage/_base.py",
"copies": "1",
"size": "6433",
"license": "mit",
"hash": -7343854233628242000,
"line_mean": 30.8465346535,
"line_max": 108,
"alpha_frac": 0.4871755013,
"autogenerated": false,
"ratio": 4.134318766066838,
"config_test": fals... |
__author__ = 'sei'
import socket
import time
import sys
import multiprocessing
class Controller(object):
def __init__(self, ip=None, port=None):
self._lock = multiprocessing.Lock()
self._x = multiprocessing.Value('d', 0.)
self._y = multiprocessing.Value('d', 0.)
self._z = multiproc... | {
"repo_name": "sdickreuter/python-pistage",
"path": "build/lib/PIStage/_base.py",
"copies": "1",
"size": "3713",
"license": "mit",
"hash": 1879786013865457200,
"line_mean": 29.1869918699,
"line_max": 83,
"alpha_frac": 0.5084837059,
"autogenerated": false,
"ratio": 4.352872215709262,
"config_tes... |
__author__ = 'sei'
import time
import multiprocessing
from PIStage._base import Controller
class Dummy(Controller):
def __init__(self):
self._lock = multiprocessing.Lock()
self._x = multiprocessing.Value('d', 10.)
self._y = multiprocessing.Value('d', 10.)
self._z = multiprocessin... | {
"repo_name": "sdickreuter/python-pistage",
"path": "PIStage/Controllers/Dummy.py",
"copies": "2",
"size": "1604",
"license": "mit",
"hash": -1166832514069354000,
"line_mean": 26.2033898305,
"line_max": 58,
"alpha_frac": 0.5205735661,
"autogenerated": false,
"ratio": 3.427350427350427,
"config_... |
__author__ = 'sei'
_number_of_samples = 100
_integration_time = 0.01
_cycle_time = 0 # cycle duration in s
_cycle_time_start = 3 * _integration_time * 1000 / 10 # cycle duration in s, starting value
_cycle_factor = -float(180) / _number_of_samples # cycle time is calculated using this factor
_amplitude = 5
def _... | {
"repo_name": "sdickreuter/python-pistage",
"path": "test/test.py",
"copies": "1",
"size": "1311",
"license": "mit",
"hash": -6387681439084677000,
"line_mean": 27.5,
"line_max": 124,
"alpha_frac": 0.5881006865,
"autogenerated": false,
"ratio": 2.530888030888031,
"config_test": false,
"has_no_... |
__author__ = 'sekely'
'''
collecting, ordering, searching and presenting data is very important in computer science and programming.
keeping the data in a variable is nice, but how can you find it later?
examples:
1) if you are reading 1 million phone book entries, will you keep each record as a variable?
2) the user... | {
"repo_name": "idosekely/python-lessons",
"path": "lesson_3/data_structures.py",
"copies": "1",
"size": "3135",
"license": "mit",
"hash": 9119589332612021000,
"line_mean": 26.5,
"line_max": 116,
"alpha_frac": 0.5837320574,
"autogenerated": false,
"ratio": 3.0173243503368625,
"config_test": fals... |
__author__ = 'sekely'
'''
most of our programs are based on some decision making.
but how do we decide what to do?
how can we tell a certain piece of code to run few times?
'''
# we are using booleans to make a decision
# if... then... else
x = input("please enter number: ")
x = int(x)
x = 3
if x > 3:
print(x)
... | {
"repo_name": "idosekely/python-lessons",
"path": "lesson_2/control_flow.py",
"copies": "1",
"size": "1035",
"license": "mit",
"hash": 8581212764206263000,
"line_mean": 18.9038461538,
"line_max": 72,
"alpha_frac": 0.6251207729,
"autogenerated": false,
"ratio": 3.1846153846153844,
"config_test":... |
__author__ = 'sekely'
'''
One of the biggest programming approaches today is the OOP - Object Oriented Programming.
when we are talking about object, we are referring to 2 things - the class and the instance.
objects can give attributes to instances, and can inherit attributes from other objects.
think of that:
a cl... | {
"repo_name": "idosekely/python-lessons",
"path": "lesson_4/objects.py",
"copies": "1",
"size": "1995",
"license": "mit",
"hash": 1296571758090981600,
"line_mean": 27.0985915493,
"line_max": 99,
"alpha_frac": 0.6756892231,
"autogenerated": false,
"ratio": 3.556149732620321,
"config_test": false... |
__author__ = 'Sekou Diao'
from os.path import isfile, getsize
from collections import OrderedDict
import sqlite3
def _update(obj, entrees, decode=False):
"""
Recursively checks if key is in dic.
If key is not in dic, it updates the dic with {key : value}.
If key is in dic, it appends '#' to the key... | {
"repo_name": "SekouD/PYLexique380",
"path": "PYLexique/parser.py",
"copies": "1",
"size": "13279",
"license": "cc0-1.0",
"hash": -18349899453765080,
"line_mean": 36.4152542373,
"line_max": 119,
"alpha_frac": 0.5293318233,
"autogenerated": false,
"ratio": 3.299701046337818,
"config_test": false... |
__author__ = 'Sekou Diao'
import sqlite3
from bs4 import BeautifulSoup as BS
from urllib import request, parse, error
def _update_nbrdef(obj):
"""
:param obj:
:return:
"""
if isinstance(obj, sqlite3.Connection):
curs = obj.cursor()
curs.execute("PRAGMA table_info(lemmes)")
... | {
"repo_name": "SekouD/PYLexique380",
"path": "PYLexique/fetch_def.py",
"copies": "1",
"size": "8824",
"license": "cc0-1.0",
"hash": -1483744965042103800,
"line_mean": 48.8192090395,
"line_max": 194,
"alpha_frac": 0.5040825584,
"autogenerated": false,
"ratio": 4.199047619047619,
"config_test": f... |
__author__ = 'Sekou Diao'
import sqlite3
def to_csv(obj, filename):
"""
:param obj:
:param filename:
:return:
"""
if isinstance(obj, sqlite3.Connection):
lexique380 = obj.cursor()
lexique380.execute("SELECT name FROM sqlite_master WHERE type='table'")
tables = [table[0... | {
"repo_name": "SekouD/PYLexique380",
"path": "PYLexique/dump.py",
"copies": "1",
"size": "1758",
"license": "cc0-1.0",
"hash": -6593013724740442000,
"line_mean": 30.9636363636,
"line_max": 79,
"alpha_frac": 0.523890785,
"autogenerated": false,
"ratio": 3.6024590163934427,
"config_test": false,
... |
__author__ = 'Sekou Diao'
from bs4 import BeautifulSoup as BS
def generate_xml(dic):
"""
Takes a list of dictionaries and returns a bs4 xml object.
Each entry of the list is a dictionary of the form {syntagm: answer list}.
:param dict_list: list
:rtype : bs4 xml object
"""
doc_xml = BS('<... | {
"repo_name": "SekouD/PYLexique380",
"path": "PYLexique/xmldump.py",
"copies": "1",
"size": "1574",
"license": "cc0-1.0",
"hash": 1364852472853970400,
"line_mean": 32.4893617021,
"line_max": 78,
"alpha_frac": 0.5785123967,
"autogenerated": false,
"ratio": 3.3900862068965516,
"config_test": fals... |
__author__ = 'Sekou Diao'
import PYLexique
dbname = 'Databases/lexique380_brut.db'
lexique380_brutdb = PYLexique.open(dbname)
lexique380_brut = lexique380_brutdb.cursor()
# dbname1 = 'Databases/lexique380_decode.db'
# lexique380decodedb = PYLexique.open(dbname1)
# lexique380decode = lexique380decodedb.cursor()
#
# d... | {
"repo_name": "SekouD/PYLexique380",
"path": "compare lemmes.py",
"copies": "1",
"size": "4010",
"license": "cc0-1.0",
"hash": -7033214658080053000,
"line_mean": 54.7083333333,
"line_max": 180,
"alpha_frac": 0.7167082294,
"autogenerated": false,
"ratio": 2.590439276485788,
"config_test": false,... |
__author__ = 'selcuk'
import struct
FINAL = 128
TEXT = 1
CONT = 15
MASKED = 128
frag = {}
def decode(client,data):
totalSize = len(data)
masked = False
final = False
text = False
cont = False
msg = 'long'
# print "len:", len(data[:2])
a,b = struct.unpack('BB',data[:2])
# print "a:", a,... | {
"repo_name": "selcukgun/SGwebsocket",
"path": "websocketCoding.py",
"copies": "1",
"size": "2601",
"license": "mit",
"hash": -1037223266632456000,
"line_mean": 25.01,
"line_max": 72,
"alpha_frac": 0.5297962322,
"autogenerated": false,
"ratio": 3.55327868852459,
"config_test": false,
"has_no_... |
##########################################################################
## Imports
##########################################################################
import os
import csv
from BeautifulSoup import BeautifulSoup
import urllib2
##########################################################################
##... | {
"repo_name": "Pythonsgo/DP-Tutorial",
"path": "WikiDownloads.py",
"copies": "1",
"size": "3112",
"license": "mit",
"hash": -2791799962174411000,
"line_mean": 31.7578947368,
"line_max": 85,
"alpha_frac": 0.5482005141,
"autogenerated": false,
"ratio": 3.9144654088050315,
"config_test": false,
... |
##########################################################################
## Imports
##########################################################################
import os
import csv
import requests
import bz2
from bz2 import decompress
import time
###################################################################... | {
"repo_name": "Pythonsgo/DP-Tutorial",
"path": "ingestWikisCSV.py",
"copies": "1",
"size": "2586",
"license": "mit",
"hash": -2249241143164295400,
"line_mean": 31.325,
"line_max": 86,
"alpha_frac": 0.5494972931,
"autogenerated": false,
"ratio": 4.274380165289256,
"config_test": false,
"has_no... |
##########################################################################
## Imports
##########################################################################
import os
import pandas as pd
import xlrd
import requests
import bz2
from bz2 import decompress
import time
##############################################... | {
"repo_name": "Pythonsgo/DP-Tutorial",
"path": "ingestWikis.py",
"copies": "1",
"size": "1883",
"license": "mit",
"hash": 6006365764024234000,
"line_mean": 27.5303030303,
"line_max": 95,
"alpha_frac": 0.5390334572,
"autogenerated": false,
"ratio": 4.212527964205816,
"config_test": false,
"has... |
##########################################################################
## Imports
##########################################################################
import os
import pandas as pd
import numpy as np
import xlrd
from sklearn.cross_validation import train_test_split as tts
from sklearn import linear_model
fro... | {
"repo_name": "georgetown-analytics/bike-psychics",
"path": "GitCapBikeFeatures.py",
"copies": "1",
"size": "3354",
"license": "mit",
"hash": 8226652162596466000,
"line_mean": 26.2764227642,
"line_max": 80,
"alpha_frac": 0.6288014311,
"autogenerated": false,
"ratio": 3.188212927756654,
"config_... |
##########################################################################
## Imports
##########################################################################
import os
import xlrd
import pandas as pd
DIRNAME = os.path.dirname(__file__)
DATAPATH = os.path.join(DIRNAME, "Starbucks.xlsx")
OUTPATH = os.path.join(DIRNA... | {
"repo_name": "georgetown-analytics/bike-psychics",
"path": "GitCapAddress.py",
"copies": "1",
"size": "1547",
"license": "mit",
"hash": 6686182606065352000,
"line_mean": 26.1403508772,
"line_max": 92,
"alpha_frac": 0.5048480931,
"autogenerated": false,
"ratio": 4.136363636363637,
"config_test"... |
##########################################################################
## Imports
##########################################################################
import os
import pandas as pd
import numpy as np
import xlrd
from sklearn.cross_validation import train_test_split as tts
from sklearn import linear_model
fr... | {
"repo_name": "georgetown-analytics/bike-psychics",
"path": "GitCapBikeMachinePlot.py",
"copies": "1",
"size": "3938",
"license": "mit",
"hash": -7610770542129546000,
"line_mean": 25.9794520548,
"line_max": 84,
"alpha_frac": 0.6356018283,
"autogenerated": false,
"ratio": 3.2762063227953413,
"co... |
##########################################################################
## Imports
##########################################################################
import re
import itertools
from itertools import product
import nltk
from nltk import word_tokenize
import numpy as np
import matplotlib.pyplot as plt
###... | {
"repo_name": "Pythonsgo/DP-Tutorial",
"path": "Get_Language_Corpus_Stats.py",
"copies": "1",
"size": "3870",
"license": "mit",
"hash": -8275577557297312000,
"line_mean": 28.1052631579,
"line_max": 95,
"alpha_frac": 0.4100775194,
"autogenerated": false,
"ratio": 4.60166468489893,
"config_test":... |
##########################################################################
## Imports
##########################################################################
import re
import itertools
from itertools import product
##########################################################################
## Module Constants
#... | {
"repo_name": "Pythonsgo/DP-Tutorial",
"path": "Language_SK_Corpus.py",
"copies": "1",
"size": "2850",
"license": "mit",
"hash": 6026652467791675000,
"line_mean": 29.329787234,
"line_max": 110,
"alpha_frac": 0.4014035088,
"autogenerated": false,
"ratio": 4.596774193548387,
"config_test": false,... |
##########################################################################
## Imports
##########################################################################
import os
import csv
import requests
import bz2
from bz2 import decompress
import time
###################################################################... | {
"repo_name": "Pythonsgo/DP-Tutorial",
"path": "ingest_Single_Language_Wiki.py",
"copies": "1",
"size": "2683",
"license": "mit",
"hash": -1189207777021128400,
"line_mean": 32.9620253165,
"line_max": 110,
"alpha_frac": 0.574357063,
"autogenerated": false,
"ratio": 4.320450885668277,
"config_tes... |
__author__ = 'Seman'
import sys
sys.path.append('.')
import unittest
import flask
from nose.plugins.attrib import attr
import main
from service_api import ServiceApi
import random
from common import *
@attr('UNIT')
class DataProductIntTest(unittest.TestCase):
def setUp(self):
self.org_name = "CI Bench T... | {
"repo_name": "ooici/ion-ux",
"path": "tests/test_create_new_data_product.py",
"copies": "1",
"size": "3761",
"license": "bsd-2-clause",
"hash": -7274532937424148000,
"line_mean": 42.7325581395,
"line_max": 163,
"alpha_frac": 0.647434193,
"autogenerated": false,
"ratio": 4.031082529474812,
"con... |
__author__ = 'Seman'
import sys
sys.path.append('.')
import unittest
import main
from service_api import ServiceApi
import flask
import random
from common import *
class SignIntTest(unittest.TestCase):
def setUp(self):
self.user = "Beta Operator User"
self.app_client = main.app.test_client()
... | {
"repo_name": "ooici/ion-ux",
"path": "tests/test_user_info.py",
"copies": "1",
"size": "2254",
"license": "bsd-2-clause",
"hash": 1161110125711000800,
"line_mean": 32.6417910448,
"line_max": 100,
"alpha_frac": 0.6007098492,
"autogenerated": false,
"ratio": 3.9405594405594404,
"config_test": tr... |
__author__ = 'semih'
from random import randint
class Astator:
""" Core astator class
"""
welcome_messages = ['Hi!', 'Hey', 'Wow! It\'s you', 'Good to see you!',
'Voila!', 'Hello my friend!', 'Yes!', 'I was just thinking about you!', 'Wow, I missed you!', 'I knew you would '
... | {
"repo_name": "astator/astator",
"path": "Astator.py",
"copies": "1",
"size": "5031",
"license": "mit",
"hash": 2490161899492849700,
"line_mean": 39.9105691057,
"line_max": 139,
"alpha_frac": 0.5450208706,
"autogenerated": false,
"ratio": 4.037720706260032,
"config_test": false,
"has_no_keywo... |
import numpy as np
from numpy.testing import assert_allclose
from scipy.signal import filtfilt
from scipy.special import sph_harm
from numpy.testing import assert_array_equal
from mne.utils import run_tests_if_main, requires_version
from mne.fixes import _sosfiltfilt as mne_sosfiltfilt, _sph_harm
def test_filtfilt... | {
"repo_name": "teonlamont/mne-python",
"path": "mne/tests/test_fixes.py",
"copies": "2",
"size": "1342",
"license": "bsd-3-clause",
"hash": -4199282290310256600,
"line_mean": 32.55,
"line_max": 73,
"alpha_frac": 0.6497764531,
"autogenerated": false,
"ratio": 2.923747276688453,
"config_test": tr... |
# These files where extracted from the scikit-learn project
# (http://scikit-learn.org/).
# Scikit-learn is a Python module for machine learning built on top
# of SciPy and distributed under the 3-Clause BSD license.
# New BSD License
#
# Copyright (c) 2007--2013 The scikit-learn developers.
# All rights reserved.
#... | {
"repo_name": "omangin/multimodal",
"path": "multimodal/lib/sklearn_utils.py",
"copies": "1",
"size": "4212",
"license": "bsd-3-clause",
"hash": -758606125963012100,
"line_mean": 37.2909090909,
"line_max": 78,
"alpha_frac": 0.6932573599,
"autogenerated": false,
"ratio": 3.7406749555950265,
"con... |
import numpy as np
import scipy as sp
from scipy import ndimage
from scipy.sparse.csgraph import connected_components
from numpy.testing import assert_raises
from sklearn.feature_extraction.image import (
img_to_graph, grid_to_graph, extract_patches_2d,
reconstruct_from_patches_2d, PatchExtractor, extract_pa... | {
"repo_name": "themrmax/scikit-learn",
"path": "sklearn/feature_extraction/tests/test_image.py",
"copies": "17",
"size": "10937",
"license": "bsd-3-clause",
"hash": -2840352025370388000,
"line_mean": 34.6254071661,
"line_max": 79,
"alpha_frac": 0.5965072689,
"autogenerated": false,
"ratio": 2.859... |
import numpy as np
import scipy as sp
from scipy import ndimage
from scipy.sparse.csgraph import connected_components
from sklearn.feature_extraction.image import (
img_to_graph, grid_to_graph, extract_patches_2d,
reconstruct_from_patches_2d, PatchExtractor, extract_patches)
from sklearn.utils.testing import ... | {
"repo_name": "chrsrds/scikit-learn",
"path": "sklearn/feature_extraction/tests/test_image.py",
"copies": "1",
"size": "11692",
"license": "bsd-3-clause",
"hash": 358927215658166000,
"line_mean": 34.2168674699,
"line_max": 78,
"alpha_frac": 0.5981867944,
"autogenerated": false,
"ratio": 2.8919119... |
import numpy as np
import scipy as sp
from scipy import ndimage
from nose.tools import assert_equal, assert_true
from numpy.testing import assert_raises
from sklearn.feature_extraction.image import (
img_to_graph, grid_to_graph, extract_patches_2d,
reconstruct_from_patches_2d, PatchExtractor, extract_patches... | {
"repo_name": "lbishal/scikit-learn",
"path": "sklearn/feature_extraction/tests/test_image.py",
"copies": "28",
"size": "10384",
"license": "bsd-3-clause",
"hash": -1397338264750991600,
"line_mean": 34.8068965517,
"line_max": 80,
"alpha_frac": 0.5963983051,
"autogenerated": false,
"ratio": 2.7133... |
import numpy as np
import scipy as sp
from scipy import ndimage
from numpy.testing import assert_raises
from sklearn.feature_extraction.image import (
img_to_graph, grid_to_graph, extract_patches_2d,
reconstruct_from_patches_2d, PatchExtractor, extract_patches)
from sklearn.utils.graph import connected_compo... | {
"repo_name": "RPGOne/Skynet",
"path": "scikit-learn-0.18.1/sklearn/feature_extraction/tests/test_image.py",
"copies": "38",
"size": "11165",
"license": "bsd-3-clause",
"hash": -4443593579778033000,
"line_mean": 34.7852564103,
"line_max": 79,
"alpha_frac": 0.5981191223,
"autogenerated": false,
"r... |
import numpy as np
import scipy as sp
from scipy import ndimage
from nose.tools import assert_equal, assert_true
from numpy.testing import assert_raises
from ..image import img_to_graph, grid_to_graph
from ..image import extract_patches_2d, reconstruct_from_patches_2d, \
PatchExtractor, extract_p... | {
"repo_name": "seckcoder/lang-learn",
"path": "python/sklearn/sklearn/feature_extraction/tests/test_image.py",
"copies": "1",
"size": "9781",
"license": "unlicense",
"hash": 8388236657880103000,
"line_mean": 34.4384057971,
"line_max": 79,
"alpha_frac": 0.5875677334,
"autogenerated": false,
"ratio... |
import numpy as np
import scipy as sp
from scipy import ndimage
from nose.tools import assert_equal
from numpy.testing import assert_raises
from ..image import img_to_graph, grid_to_graph
from ..image import extract_patches_2d, reconstruct_from_patches_2d, \
PatchExtractor
from ...utils.graph imp... | {
"repo_name": "joshbohde/scikit-learn",
"path": "sklearn/feature_extraction/tests/test_image.py",
"copies": "1",
"size": "7058",
"license": "bsd-3-clause",
"hash": 8765769419823663000,
"line_mean": 32.6095238095,
"line_max": 78,
"alpha_frac": 0.6034287334,
"autogenerated": false,
"ratio": 2.74097... |
__author__ = 'sen'
import doctest
import six
from selenium import webdriver
from sunshine.mixin import browser
class Firefox(browser.SunnyWebdriverMixin, webdriver.Firefox):
"""
Sunshine's Firefox class supports context managers::
>>> from sunshine import webdriver
>>> with webdriver.Firefo... | {
"repo_name": "gardiac2002/sunshine",
"path": "sunshine/webdriver.py",
"copies": "1",
"size": "2931",
"license": "mit",
"hash": -5176573370710360000,
"line_mean": 37.0779220779,
"line_max": 115,
"alpha_frac": 0.5349709997,
"autogenerated": false,
"ratio": 4.750405186385738,
"config_test": false... |
__author__ = 'sen'
import doctest
import string
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.common.exceptions import TimeoutException
import six
from sunshine.webelement.webelement ... | {
"repo_name": "gardiac2002/sunshine",
"path": "sunshine/mixin/browser.py",
"copies": "1",
"size": "5616",
"license": "mit",
"hash": -306753085185336900,
"line_mean": 26.6699507389,
"line_max": 92,
"alpha_frac": 0.5528846154,
"autogenerated": false,
"ratio": 4.022922636103152,
"config_test": fal... |
__author__ = 'sensun'
import networkx as nx
from django.contrib.gis.geos import Polygon, LineString, GeometryCollection, Point
def transform_convex_hull(convexHullAsGeom, convexHullAsGraph, hole, edge):
verticesInHole = []
commonEdgeGeom = convexHullAsGeom[0].intersection(hole)
for vertex in edge:
... | {
"repo_name": "sunForest/path_calculator_public",
"path": "graphGeneration/core/convex_oo.py",
"copies": "1",
"size": "11328",
"license": "mit",
"hash": 5412260429640079000,
"line_mean": 37.0167785235,
"line_max": 111,
"alpha_frac": 0.6175847458,
"autogenerated": false,
"ratio": 3.547760726589414... |
__author__ = 'Seqian Wang'
# A class for each scan session
class ScanSession:
def __init__(self, study, rid, scan_type, scan_date, scan_time,
s_identifier, i_identifier, download_folder, raw_folder, file_type, moved=0):
self.study = study
self.rid = rid
self.scan_type = s... | {
"repo_name": "sulantha2006/Processing_Pipeline",
"path": "Recursor/ScanSession.py",
"copies": "1",
"size": "2139",
"license": "apache-2.0",
"hash": -884934229676361200,
"line_mean": 40.1346153846,
"line_max": 100,
"alpha_frac": 0.5493221131,
"autogenerated": false,
"ratio": 3.4278846153846154,
... |
__author__ = 'Seqian Wang'
import glob
import os
import re
from xml.dom import minidom
import xmltodict
import Config.ADNI_RecurserConfig as arc
import Config.StudyConfig as sc
from Recursor.ScanSession import ScanSession
from Utils.PipelineLogger import PipelineLogger
"""
Parse ADNI Data Structure from Monica Down... | {
"repo_name": "sulantha2006/Processing_Pipeline",
"path": "Recursor/ADNI/ADNIRecursor.py",
"copies": "1",
"size": "7387",
"license": "apache-2.0",
"hash": 8754495834436452000,
"line_mean": 49.9517241379,
"line_max": 170,
"alpha_frac": 0.5760119128,
"autogenerated": false,
"ratio": 3.9397333333333... |
__author__ = 'Seqian Wang'
import os
import re
import Config.ADNI_RecurserConfig as arc
import Config.StudyConfig as sc
from Recursor.ScanSession import ScanSession
from Utils.PipelineLogger import PipelineLogger
"""
Parse ADNI Data Structure from Monica Download and return a list of instances with scans' informatio... | {
"repo_name": "sulantha2006/Processing_Pipeline",
"path": "Recursor/ADNI/ADNIRecursorFromOldData.py",
"copies": "1",
"size": "4578",
"license": "apache-2.0",
"hash": 6438621122953157000,
"line_mean": 46.1958762887,
"line_max": 166,
"alpha_frac": 0.5987330712,
"autogenerated": false,
"ratio": 4.06... |
__author__ = 'Sergei'
from model.contact import Contact
class ContactHelper:
def __init__(self, app):
self.app = app
def fill_contact_first_last(self, Contact):
wd = self.app.wd
wd.find_element_by_name("firstname").click()
wd.find_element_by_name("firstname").clear()
w... | {
"repo_name": "serglit/python_traning",
"path": "fixture/contact.py",
"copies": "1",
"size": "5572",
"license": "apache-2.0",
"hash": 6140519148121514000,
"line_mean": 37.1643835616,
"line_max": 86,
"alpha_frac": 0.6073223259,
"autogenerated": false,
"ratio": 3.3872340425531915,
"config_test": ... |
__author__ = 'Sergei'
from model.group import Group
class GroupHelper:
def __init__(self, app):
self.app = app
def open_groups_page(self):
wd = self.app.wd
if not (wd.current_url.endswith("/group.php") and len(wd.find_elements_by_name("new")) > 0):
wd.find_element_by_link... | {
"repo_name": "serglit/python_traning",
"path": "fixture/group.py",
"copies": "1",
"size": "4115",
"license": "apache-2.0",
"hash": 7511161637187458000,
"line_mean": 33.5798319328,
"line_max": 100,
"alpha_frac": 0.5970838396,
"autogenerated": false,
"ratio": 3.3239095315024234,
"config_test": f... |
__author__ = 'Sergei'
from sys import maxsize
class Contact:
def __init__(self, first_n=None, mid_n=None, last_n=None, nick_n=None, company=None, address=None, home_ph=None, cell_ph=None, email=None, id=None):
self.first_n=first_n
self.mid_n=mid_n
self.last_n=last_n
self.nick_n=nick... | {
"repo_name": "serglit/python_traning",
"path": "model/contact.py",
"copies": "1",
"size": "1430",
"license": "apache-2.0",
"hash": 732574373564740700,
"line_mean": 36.8529411765,
"line_max": 152,
"alpha_frac": 0.6254856255,
"autogenerated": false,
"ratio": 2.5843373493975905,
"config_test": fa... |
__author__ = 'sergei'
class SessionHelper:
def __init__(self, app):
self.app = app
def login(self, username, password):
wd = self.app.wd
self.app.open_home_page()
wd.find_element_by_name("user").click()
wd.find_element_by_name("user").clear()
wd.find_element_by... | {
"repo_name": "SergKitler/python_training",
"path": "fixture/session.py",
"copies": "1",
"size": "1503",
"license": "apache-2.0",
"hash": -2306435571137993700,
"line_mean": 29.6734693878,
"line_max": 77,
"alpha_frac": 0.5668662675,
"autogenerated": false,
"ratio": 3.34,
"config_test": false,
... |
__author__ = 'Sergei'
from model.contact import Contact
from random import randrange
def test_contact_modify(app):
cont = Contact(first_n= "FIRST",last_n= "LAST")
if app.contact.count() == 0:
app.contact.create_c(Contact(first_n= "first",mid_n= "middle",last_n= "last",nick_n= "kuk",company= "adda",add... | {
"repo_name": "serglit/python_traning",
"path": "test/test_modify_contact.py",
"copies": "1",
"size": "1395",
"license": "apache-2.0",
"hash": 3152949935912661500,
"line_mean": 44.0322580645,
"line_max": 174,
"alpha_frac": 0.6817204301,
"autogenerated": false,
"ratio": 2.8822314049586777,
"conf... |
__author__ = 'sergei'
from model.group import Group
from model.user import User
import random
def test_del_user_from_group(app, orm):
if len(orm.get_contact_list()) == 0:
app.user.add(User(firstname="Jeck", lastname="Antonio"))
if len(orm.get_group_list()) == 0:
app.group.create(Group(name="T... | {
"repo_name": "SergKitler/python_training",
"path": "test/test_del_user_from_group.py",
"copies": "1",
"size": "1267",
"license": "apache-2.0",
"hash": 936905218582549600,
"line_mean": 39.8709677419,
"line_max": 99,
"alpha_frac": 0.6400947119,
"autogenerated": false,
"ratio": 2.8536036036036037,
... |
__author__ = 'sergei'
from model.group import Group
class GroupHelper:
def __init__(self,app):
self.app = app
def open_groups_page(self):
wd = self.app.wd
if not (wd.current_url.endswith("/group.php") and len(wd.find_elements_by_name("new")) > 0):
wd.find_element_by_link_t... | {
"repo_name": "SergKitler/python_training",
"path": "fixture/group.py",
"copies": "1",
"size": "3840",
"license": "apache-2.0",
"hash": 6008738280029747000,
"line_mean": 31.8290598291,
"line_max": 100,
"alpha_frac": 0.5872395833,
"autogenerated": false,
"ratio": 3.3773087071240107,
"config_test... |
__author__ = 'sergei'
from model.user import User
import random
def test_edit_user_via_details(app, db, check_ui):
if len(db.get_user_list()) == 0:
app.user.add(User(firstname="Jeck", lastname="Antonio"))
old_user = db.get_user_list()
user = random.choice(old_user)
user_change = User(firstname... | {
"repo_name": "SergKitler/python_training",
"path": "test/test_edit_user.py",
"copies": "1",
"size": "1765",
"license": "apache-2.0",
"hash": 5561010372309139000,
"line_mean": 41.0238095238,
"line_max": 101,
"alpha_frac": 0.5932011331,
"autogenerated": false,
"ratio": 3.1517857142857144,
"confi... |
__author__ = 'sergei'
from model.user import User
import re
class UserHelper:
def __init__(self,app):
self.app = app
def add(self, user):
wd = self.app.wd
# init new user creation
wd.find_element_by_link_text("add new").click()
self.fill_user_form(user)
wd.fin... | {
"repo_name": "SergKitler/python_training",
"path": "fixture/user.py",
"copies": "1",
"size": "9720",
"license": "apache-2.0",
"hash": 7306490585704377000,
"line_mean": 40.0168776371,
"line_max": 131,
"alpha_frac": 0.5939300412,
"autogenerated": false,
"ratio": 3.2904536222071767,
"config_test"... |
__author__ = 'sergei'
from pony.orm import *
from datetime import datetime
from model.group import Group
from model.user import User
from pymysql.converters import encoders, decoders, convert_mysql_timestamp
class ORMFixture:
db = Database()
class ORMGroup(db.Entity):
_table_ = 'group_list'
... | {
"repo_name": "SergKitler/python_training",
"path": "fixture/orm.py",
"copies": "1",
"size": "2709",
"license": "apache-2.0",
"hash": 8058316557910564000,
"line_mean": 38.2608695652,
"line_max": 147,
"alpha_frac": 0.6467331118,
"autogenerated": false,
"ratio": 3.7625,
"config_test": false,
"h... |
__author__ = 'sergei'
from selenium import webdriver
from fixture.session import SessionHelper
from fixture.group import GroupHelper
from fixture.user import UserHelper
class Application:
def __init__(self, browser,base_url):
if browser == "firefox":
self.wd = webdriver.Firefox(capabilities={"... | {
"repo_name": "SergKitler/python_training",
"path": "fixture/application.py",
"copies": "1",
"size": "1049",
"license": "apache-2.0",
"hash": -9022775037763064000,
"line_mean": 27.3783783784,
"line_max": 75,
"alpha_frac": 0.5843660629,
"autogenerated": false,
"ratio": 4.146245059288537,
"config... |
__author__ = 'sergei'
from sys import maxsize
class User:
def __init__(self,firstname=None,middlename=None,lastname=None,nickname=None,
title=None,company=None,address=None,home=None,mobile=None,
work=None,fax=None,email=None,email2=None,email3=None,
homepage=Non... | {
"repo_name": "SergKitler/python_training",
"path": "model/user.py",
"copies": "1",
"size": "1651",
"license": "apache-2.0",
"hash": -7346837144956723000,
"line_mean": 35.7111111111,
"line_max": 183,
"alpha_frac": 0.5857056329,
"autogenerated": false,
"ratio": 3.6285714285714286,
"config_test":... |
__author__ = 'sergei'
import mysql.connector
from model.group import Group
from model.user import User
class DbFixture:
def __init__(self, host, name, user, password):
self.host = host
self.name = name
self.user = user
self.password = password
self.connection = mysql.conne... | {
"repo_name": "SergKitler/python_training",
"path": "fixture/db.py",
"copies": "1",
"size": "1795",
"license": "apache-2.0",
"hash": 5538142022714392000,
"line_mean": 37.1914893617,
"line_max": 175,
"alpha_frac": 0.5504178273,
"autogenerated": false,
"ratio": 4.294258373205742,
"config_test": f... |
__author__ = 'sergei'
import pytest
import json
import os.path
import importlib
import jsonpickle
from fixture.application import Application
from fixture.db import DbFixture
from fixture.orm import ORMFixture
fixture = None
target = None
def load_config(file):
global target
if target is None:
con... | {
"repo_name": "SergKitler/python_training",
"path": "conftest.py",
"copies": "1",
"size": "2892",
"license": "apache-2.0",
"hash": 9110862939056386000,
"line_mean": 31.1333333333,
"line_max": 100,
"alpha_frac": 0.6459197787,
"autogenerated": false,
"ratio": 3.8153034300791555,
"config_test": tr... |
__author__ = 'sergei'
import re
from model.user import User
def test_contact_info_on_home_page(app, db):
contact_from_home_page = sorted(app.user.get_user_list(), key=User.id_or_max)
contact_from_db = sorted(db.get_user_list(), key=User.id_or_max)
phones_from_db = list(merge_phones_like_on_home_page(co... | {
"repo_name": "SergKitler/python_training",
"path": "test/test_contact.py",
"copies": "1",
"size": "1473",
"license": "apache-2.0",
"hash": 2142890329798749400,
"line_mean": 46.5483870968,
"line_max": 124,
"alpha_frac": 0.6082824168,
"autogenerated": false,
"ratio": 3.1207627118644066,
"config_... |
__author__ = 'Sergei'
class SessionHelper:
def __init__(self, app):
self.app = app
def login(self, username, password):
wd = self.app.wd
self.app.open_home_page()
wd.find_element_by_name("user").click()
wd.find_element_by_name("user").clear()
wd.find_element_b... | {
"repo_name": "serglit/python_traning",
"path": "fixture/session.py",
"copies": "1",
"size": "1338",
"license": "apache-2.0",
"hash": 5427732035753430000,
"line_mean": 29.4090909091,
"line_max": 88,
"alpha_frac": 0.5605381166,
"autogenerated": false,
"ratio": 3.370277078085642,
"config_test": f... |
__author__ = 'Serge'
import pymel.core as pmc
import advutils as adv
from splitter import Splitter
from stretchy import stretchySplineIk
def GUI():
winName = 'squishy_ik_win'
if pmc.window(winName, exists=1):
pmc.deleteUI(winName)
win = pmc.window(winName, t='Squishy IK')
pmc.formLayout(num... | {
"repo_name": "taozenforce/cogswelladvancedrigging",
"path": "primitives.py",
"copies": "2",
"size": "8360",
"license": "mit",
"hash": -8030219567628233000,
"line_mean": 36.8325791855,
"line_max": 120,
"alpha_frac": 0.6875598086,
"autogenerated": false,
"ratio": 3.0180505415162453,
"config_test... |
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