text stringlengths 0 1.05M | meta dict |
|---|---|
__author__ = 'Elahe'
import numpy as np
import ephem
import NightDataGenerator as DataGen
import FBDE
import time
import DBreadwrite as DB
import Graphics as GP
import os
Site = ephem.Observer()
Site.lon = -1.2320792
Site.lat = -0.517781017
Site.elevation = 2650
Site.pressure = 0.
Site.h... | {
"repo_name": "elahesadatnaghib/feature-based-scheduler",
"path": "run.py",
"copies": "1",
"size": "3160",
"license": "mit",
"hash": 4516671787232733,
"line_mean": 31.9166666667,
"line_max": 158,
"alpha_frac": 0.6231012658,
"autogenerated": false,
"ratio": 2.8884826325411335,
"config_test": fal... |
__author__ = 'Elahe'
import ephem
import numpy as np
import json
from numpy import *
import sqlite3 as lite
from calculations import *
import pandas as pd
class DataFeed(object):
def __init__(self, date, site, custom_episode = False):
self.Site = site
self.night_id = int(date - ephem.Date('20... | {
"repo_name": "elahesadatnaghib/FB-Scheduler-v2",
"path": "FBDE.py",
"copies": "1",
"size": "24163",
"license": "mit",
"hash": -3104819615897833000,
"line_mean": 43.9126394052,
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__author__ = 'Elahe'
import ephem
import numpy as np
import json
from operator import attrgetter
from numpy import *
import time
''' Constants '''
inf = 1e10
eps = 1e-10
class Data(object):
def __init__(self, date, site):
self.Date = date
self.Site = site
''' Predictable data '''
... | {
"repo_name": "elahesadatnaghib/feature-based-scheduler",
"path": "Heart.py",
"copies": "1",
"size": "27411",
"license": "mit",
"hash": 4868526817391133000,
"line_mean": 40.2831325301,
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__author__ = 'Elahe'
import ephem
import numpy as np
import json
from operator import attrgetter
from numpy import *
import time
''' Constants '''
inf = 1e10
eps = 1e-10
#temp variable
AllF = np.zeros((4206,7))
class Data(object):
def __init__(self, date, site):
self.Date = date
self.Site =... | {
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"path": "FBDE.py",
"copies": "1",
"size": "27590",
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"hash": -5845267681532301000,
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__author__ = 'Elahe'
import numpy as np
import ephem
import NightDataGenerator as DataGen
import FBDE
import MyDE
import time
Date = ephem.Date('2016/09/01 12:00:00.00') # times are in UT
Site = ephem.Observer()
Site.lon = -1.2320792
Site.lat = -0.517781017
Site.elevation = 26... | {
"repo_name": "elahesadatnaghib/feature-based-scheduler",
"path": "Training.py",
"copies": "1",
"size": "1637",
"license": "mit",
"hash": 8265636860095484000,
"line_mean": 24.1846153846,
"line_max": 76,
"alpha_frac": 0.5467318265,
"autogenerated": false,
"ratio": 2.7102649006622515,
"config_tes... |
__author__ = 'Elahe'
import sqlite3 as lite
import csv
import numpy as np
import ephem
import NightDataGenerator as ndg
''' Connect to the FBDE data base '''
def DBreadNwrite(key, Date, Site, **keyword_parameters):
'''**keyword_parameters
sessionID
'''
if key == 'w':
FBDEcon = lite.connect(... | {
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"path": "MAFdb.py",
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... |
__author__ = 'Elahe'
import sqlite3 as lite
import numpy as np
import ephem
import pandas as pd
def update(Schedule):
con = lite.connect('FBDE.db')
cur = con.cursor()
#TODO avoid overwrite
t_start = Schedule[0]['ephemDate']
t_end = Schedule[-1]['ephemDate']
N_visits = np.count_nonzero(Sc... | {
"repo_name": "elahesadatnaghib/FB-Scheduler-v2",
"path": "UpdateDB.py",
"copies": "1",
"size": "12429",
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"hash": 588887034671112400,
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"ratio": 3.462116991643454,
"config_test": fals... |
__author__ = 'Elahe'
import sqlite3 as lite
import numpy as np
import ephem
''' Connect to the FBDE data base '''
def DBreadNwrite(key, Date):
if key == 'w':
FBDEcon = lite.connect('FBDE.db')
FBDEcur = FBDEcon.cursor()
# avoid overwrite
try:
FBDEcur.execute('SELECT *... | {
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"path": "DBreadwrite.py",
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"ratio": 3.788095238095238,
"confi... |
__author__ = 'ELatA'
import sys
from collada import *
import zlib
import StringIO
import struct
def main():
dae_path = swm_path = ""
try:
dae_path = sys.argv[1]
swm_path = sys.argv[2]
except:
print 'Error: dae or swm path not exist!'
sys.exit()
if not os.path.exists(swm_... | {
"repo_name": "gastrodia/convert3d",
"path": "dae2swmx.py",
"copies": "1",
"size": "2164",
"license": "apache-2.0",
"hash": 4112869133408178000,
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"h... |
__author__ = ['Eleftheria Chatziargyriou <ele.hatzy@gmail.com>']
__license__ = 'MIT License'
import re
from cltk.stem.middle_english.stem import affix_stemmer
"""
The hyphenation/syllabification algorithm is based on the typical syllable
structure model of onset/nucleus/coda. An additional problem arises with the
di... | {
"repo_name": "TylerKirby/cltk",
"path": "cltk/phonology/middle_english/transcription.py",
"copies": "1",
"size": "10342",
"license": "mit",
"hash": 214522052587174100,
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"... |
import time
import math
from scipy.integrate import ode
import numpy as np
import matplotlib.pyplot as plt
start_time = time.time()
def sburstf( x, aval, bval, atval, btval ):
if (x > 0.00):
y=(atval * (1.00 - math.exp(-x / btval)))
else:
y=(-(aval / bval) * x * math.exp(x / (bval)))
... | {
"repo_name": "avramidis/Broomhead-etal-2000-model",
"path": "broomhead.py",
"copies": "1",
"size": "2826",
"license": "mit",
"hash": 7537201419730463000,
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"line_max": 154,
"alpha_frac": 0.4437367304,
"autogenerated": false,
"ratio": 1.9237576582709326,
"config_test":... |
__author__ = "Elena Dimchenko"
from .helpers.randomize import randomize_it
from sys import maxsize
def clean(group):
return Group(id=group.id, name=group.name.strip())
class Group:
def __init__(self,
name = None,
id = None,
header = None,
... | {
"repo_name": "alenickwork/python_training",
"path": "model/group.py",
"copies": "1",
"size": "1306",
"license": "apache-2.0",
"hash": 7623730059233703000,
"line_mean": 25.12,
"line_max": 103,
"alpha_frac": 0.5505359877,
"autogenerated": false,
"ratio": 3.6177285318559558,
"config_test": false,... |
__author__ = "Elena Dimchenko"
import random
from .helpers.randomize import randomize_it
from sys import maxsize
def clean(contact):
return Contact(id=contact.id,
firstname=contact.firstname.strip().replace(" "," "),
lastname=contact.lastname.strip().replace(" "," "))
clas... | {
"repo_name": "alenickwork/python_training",
"path": "model/contact.py",
"copies": "1",
"size": "5767",
"license": "apache-2.0",
"hash": 5728932071925258000,
"line_mean": 41.7185185185,
"line_max": 221,
"alpha_frac": 0.5847060864,
"autogenerated": false,
"ratio": 3.7990777338603428,
"config_tes... |
__author__ = 'Eleven'
#
# encoding:UTF-8
# import urllib.request
#
# url = "http://www.baidu.com"
# data = urllib.request.urlopen(url).read()
# data = data.decode('UTF-8')
# print(data)
# print ("ddd")
#-*- encoding: utf-8 -*-
import urllib
import urllib.request
import http.cookiejar
import os
from bs4 import Beautif... | {
"repo_name": "RaulVan/JustPythonCode",
"path": "Day3.py",
"copies": "1",
"size": "1922",
"license": "mit",
"hash": 7057915263024657000,
"line_mean": 21.6746987952,
"line_max": 131,
"alpha_frac": 0.6115834219,
"autogenerated": false,
"ratio": 2.65819209039548,
"config_test": false,
"has_no_ke... |
__author__ = 'Elias Haroun'
from BinaryTree_ADT.tree.list.ArrayList import *
class BinaryTree(object):
def __init__(self):
self.arrayList = ArrayList()
self.size = 0
self.rootIndex = 0
self.lastIndex = 0
def getSize(self):
return self.size
def isEmpty(self):
... | {
"repo_name": "EliHar/BinaryTree-ADT",
"path": "tree/BinaryTree_1.py",
"copies": "1",
"size": "2858",
"license": "mit",
"hash": -8848964920868616000,
"line_mean": 30.7555555556,
"line_max": 66,
"alpha_frac": 0.5731280616,
"autogenerated": false,
"ratio": 3.745740498034076,
"config_test": false,... |
__author__ = 'Elias Haroun'
from List_ADT.list.Node import *
class DoublyLinkedList(object):
def __init__(self):
self.head = None
self.tail = None
self.size = 0
def isEmpty(self):
return self.size == 0
def getSize(self):
return self.size
def getHead(self):
... | {
"repo_name": "EliHar/List-ADT",
"path": "list/DoublyLinkedList.py",
"copies": "1",
"size": "2112",
"license": "mit",
"hash": -7164014055762627000,
"line_mean": 21.7096774194,
"line_max": 65,
"alpha_frac": 0.5364583333,
"autogenerated": false,
"ratio": 3.819168173598553,
"config_test": false,
... |
__author__ = 'Elias Haroun'
from List_ADT.list.Node import *
class LinkedList(object):
def __init__(self):
self.head = None
self.size = 0
def isEmpty(self):
return self.size == 0
def getSize(self):
return self.size
def getHead(self):
return self.head
def... | {
"repo_name": "EliHar/List-ADT",
"path": "list/LinkedList.py",
"copies": "1",
"size": "1757",
"license": "mit",
"hash": -7584737780992371000,
"line_mean": 20.975,
"line_max": 65,
"alpha_frac": 0.5196357427,
"autogenerated": false,
"ratio": 3.9394618834080717,
"config_test": false,
"has_no_key... |
__author__ = 'eliashussen'
from bs4 import BeautifulSoup
import requests
import re
from alchemyapi import AlchemyAPI
import json
def sentiment_alchemy(url):
alchemyapi = AlchemyAPI()
response = alchemyapi.sentiment('url', url)
response['usage'] = None
if response['status'] == 'OK':
print('#... | {
"repo_name": "EHDEV/market_sentimentalism2",
"path": "archive/old.py",
"copies": "1",
"size": "2768",
"license": "mit",
"hash": 5578127511657212000,
"line_mean": 26.4059405941,
"line_max": 113,
"alpha_frac": 0.5411849711,
"autogenerated": false,
"ratio": 3.413070283600493,
"config_test": false... |
__author__ = 'eliashussen'
import numpy as np
from sklearn import linear_model, svm, tree
from sklearn.feature_selection import SelectKBest
from sklearn.feature_selection import f_regression
def linear_reg(data):
# data = etl.prepare_data_for_modeling()
stats = {}
orig_data = data.values
variables =... | {
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"path": "model.py",
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"line_mean": 22.2282608696,
"line_max": 99,
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"ratio": 3.133431085043988,
"config_test": true,
"ha... |
__author__ = 'eliashussen'
import pandas as p
import requests as r
from StringIO import StringIO
import datetime
from bs4 import BeautifulSoup
import re
from alchemyapi import AlchemyAPI
import json
import numpy as np
from flask import request
from os import path
import csv
from collections import defaultdict
def ge... | {
"repo_name": "EHDEV/market_sentimentalism2",
"path": "etl.py",
"copies": "1",
"size": "4863",
"license": "mit",
"hash": 5186188218252991000,
"line_mean": 24.7301587302,
"line_max": 114,
"alpha_frac": 0.5883199671,
"autogenerated": false,
"ratio": 3.1394448030987734,
"config_test": false,
"ha... |
__author__ = 'elias'
class ArrayList(object):
def __init__(self):
self.size = 0
self.capacity = 0
self.array = []
def getSize(self):
return self.size
def getCapacity(self):
return self.capacity
def setCapacity(self, newCapacity):
temp = []
for... | {
"repo_name": "EliHar/List-ADT",
"path": "list/ArrayList.py",
"copies": "2",
"size": "1309",
"license": "mit",
"hash": 8901983829748175000,
"line_mean": 23.2592592593,
"line_max": 42,
"alpha_frac": 0.5309396486,
"autogenerated": false,
"ratio": 3.9427710843373496,
"config_test": false,
"has_n... |
"""
Module to see what calls actually occurred during execution, their arguments
and return values, when executing algorithms with complex function call
sequences, and especially ones that require recursion.
The class :class:`TraceCalls` is called as a decorator :func:`@TraceCalls`.
"""
import sys
from functools impo... | {
"repo_name": "ewan-klein/carneades",
"path": "src/carneades/tracecalls.py",
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"size": "1922",
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"hash": 6950907871056407000,
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"line_max": 93,
"alpha_frac": 0.5998959417,
"autogenerated": false,
"ratio": 4.03781512605042,
"config_te... |
__author__ = 'elichai2'
import bitcoin
import bitcoin.rpc
from bitcoin.core import b2lx
from bitcoin.wallet import CBitcoinAddress
from collections import namedtuple
import argparse
import transactionTools
import sys
proxy = bitcoin.rpc.Proxy()
def _check_output_address(mytx):
print
for vout in mytx.vout:
... | {
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"path": "CheckAddress.py",
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"license": "apache-2.0",
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"ratio": 3.542056074766355,
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__author__ = 'elichai2'
import bitcoin
from bitcoin.core import (lx, x)
import sys
def getraw(proxy, mytx):
try:
mytx = proxy.getrawtransaction(lx(mytx))
except Exception, e:
if str(e) == 'Proxy.getrawtransaction(): No information available about transaction (-5)':
print "Th... | {
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"path": "transactionTools.py",
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"size": "1211",
"license": "apache-2.0",
"hash": -8080463711857018000,
"line_mean": 30.0512820513,
"line_max": 107,
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"ratio": 4.204861111111111,
"config_tes... |
__author__ = 'Eli Daian <elidaian@gmail.com>'
class SimpleBoard(object):
"""
Represents a sudoku board.
This board is a simple board - a problem or solution board.
"""
def __init__(self, block_width, block_height, data=None):
"""
Create a new edsudoku board.
... | {
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"path": "edsudoku-2.0.2/edsudoku/board.py",
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"hash": 7403779681272874000,
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"line_max": 110,
"alpha_frac": 0.5456161948,
"autogenerated": false,
"ratio": 4.270443925233645,
"conf... |
#Standard libraries
import string
class TranslationMixins:
"""Base class for converting a sequence to protein
"""
def translate_sequence(self, strand=1, start=0, stop=None):
"""Translates and sequence in the first frame,
forward (default) or reverse.
Parameters:
_________... | {
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#Standard libraries
import sys
import xml.etree.cElementTree as ET
import re
from math import exp
#Custom libraries
from Parser import Parser, Match, Matches
class HSP(Match):
"""Holds information about a given High-scoring Sequence Pair (HSP)
returned from BLASTX.
"""
def __init__(self, hsp, rapsea... | {
"repo_name": "edraizen/hsp_tiler",
"path": "hsp_tiler/BlastXMLParser.py",
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"""Parser for BLAT PSLX file. BLAT is faster than BLASTX for many cases so it
may be an alternative to those who need to correct sequences in a time limit.
To get BLAT to work like BLASTX, you must manually convert the contigs into the
six frames and rerun blast. There is a program in HSP-Tiler utiliities to do
this ... | {
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"path": "hsp_tiler/BlatPSLXParser.py",
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"alpha_frac": 0.6099871548,
"autogenerated": false,
"ratio": 3.7182089552238806,
"confi... |
"""Module to handle Matches from an annotation program such as BLASTX or BLAT
Can be used to build parsers for new programs
"""
#Standard libraries
import re
#Parse out taxa info
regexTaxFilters = {0:re.compile("^.+\[(.+)\]"), #nr
1:re.compile("OS=(\w+\s\s+)") #uniprot
}
class... | {
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"path": "hsp_tiler/Parser.py",
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"alpha_frac": 0.6050970306,
"autogenerated": false,
"ratio": 4.1645569620253164,
"config_test": false,
"... |
#Standard libraries
import sys, re
import string
#Custom libraries
from Sequence import DNASequence
def read_fasta(inFile, alphabet=None):
"""Read in fasta file and return sequence objects with the fasta data
inFile - a file-like object contianing the fasta data
"""
#Set up sequence and flags f... | {
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"autogenerated": false,
"ratio": 4.238979118329467,
"config_test... |
import numpy as np
import scipy.integrate
c_km_per_s = 299792.458
class DistanceCalc(object):
def __init__(self,om,ok,ol,wmodel,de_params,h0):
'''
om = omega_matter
ok = omega curvature
ol = omega lambda
wmodel= -1 for LCDM(w0=-1), 0 for (w0,wa) parametrisation, 1 for w0,wa... | {
"repo_name": "EliseJ/astroABC",
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"config_test": false,
... |
__author__ = 'Eli Sobylak'
# import necessary ISBN library to look up on WoldCat.org and Google Books
import isbnlib
# create variable that takes in ISBN from user
isbnInput = raw_input('Please enter an ISBN number (w/o dashes) to check: ')
def valid():
# create ten variables to store each number in the ISBN and... | {
"repo_name": "elisobylak/Toolbelt",
"path": "isbnInfo.py",
"copies": "2",
"size": "1979",
"license": "mit",
"hash": -2783353345247273000,
"line_mean": 39.387755102,
"line_max": 91,
"alpha_frac": 0.6579080344,
"autogenerated": false,
"ratio": 3.303839732888147,
"config_test": false,
"has_no_k... |
__author__ = 'Elliot'
from subprocess import call
from platform import system
def clear_screen():
if system() == "Windows":
call("cls")
elif system() == "Darwin" or system() == "Linux":
call("clear")
# Sets up a multi platform clear screen function for Windows, OS X and Linux
def installsamba... | {
"repo_name": "elliot-labs/Ubuntu-Server-Setup-Automation",
"path": "Auto Setup.py",
"copies": "1",
"size": "5716",
"license": "unlicense",
"hash": 5622999230737364000,
"line_mean": 37.1066666667,
"line_max": 308,
"alpha_frac": 0.6371588523,
"autogenerated": false,
"ratio": 3.5525170913610937,
... |
import os
import sys
import unicodedata
import string
import urllib
import urllib2
# From: http://glowingpython.blogspot.com/2012/11/text-to-speech-with-correct-intonation.html
def parseText(text):
#returns a list of sentences with less than 100 caracters
toSay = []
punct = [',',':',';','.','?','!'] # pun... | {
"repo_name": "ewdicus/gt_say",
"path": "gt_say.py",
"copies": "1",
"size": "4218",
"license": "mit",
"hash": 7807089940776925000,
"line_mean": 38.4205607477,
"line_max": 100,
"alpha_frac": 0.6514935989,
"autogenerated": false,
"ratio": 3.70324846356453,
"config_test": false,
"has_no_keywords... |
__author__ = 'elmas'
import json
import socket
########################################################################
class json_socket:
def __init__(self, addr, socket = None):
self.addr = addr
self.socket = socket
print("Initializing socket with address: ", addr)
def send_object(... | {
"repo_name": "mdsalman729/flexpret_project",
"path": "emulator/concurrit-poplsyntax/concurrit-poplsyntax/python/jsonservice.py",
"copies": "1",
"size": "3800",
"license": "bsd-3-clause",
"hash": -8777873591916433000,
"line_mean": 24.1721854305,
"line_max": 99,
"alpha_frac": 0.5063157895,
"autogene... |
__author__ = 'Elmira'
class MemberHelper:
def __init__(self, app):
self.app = app
def add_new_user(self, member):
# add new user
wd = self.app.wd
wd.find_element_by_link_text("add new").click()
wd.find_element_by_name("firstname").click()
wd.find_element_by_... | {
"repo_name": "popovsn777/new_training",
"path": "fixture/new_member.py",
"copies": "1",
"size": "3658",
"license": "apache-2.0",
"hash": -6749233280494154000,
"line_mean": 45.3164556962,
"line_max": 118,
"alpha_frac": 0.6082558775,
"autogenerated": false,
"ratio": 3.1753472222222223,
"config_t... |
__author__ = 'Elmira'
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").click()
wd.find_element_b... | {
"repo_name": "popovsn777/new_training",
"path": "fixture/session.py",
"copies": "1",
"size": "1440",
"license": "apache-2.0",
"hash": 828544267389355600,
"line_mean": 28.4081632653,
"line_max": 73,
"alpha_frac": 0.5666666667,
"autogenerated": false,
"ratio": 3.325635103926097,
"config_test": f... |
__author__ = 'Elmira'
from model.group import Group
class GroupHelper:
def __init__(self, app):
self.app = app
def open_group_page(self):
print("DEBUG open_group_page1")
wd = self.app.wd
wd.find_element_by_link_text("groups").click()
print("DEBUG open_group_page 2")
... | {
"repo_name": "popovsn777/new_training",
"path": "fixture/group.py",
"copies": "1",
"size": "2812",
"license": "apache-2.0",
"hash": -9007056299105945000,
"line_mean": 29.5652173913,
"line_max": 82,
"alpha_frac": 0.5800142248,
"autogenerated": false,
"ratio": 3.5505050505050506,
"config_test": ... |
__author__ = 'elsabakiu, asmita, megha,kajal'
from crowdsourcing import models
from rest_framework import serializers
from crowdsourcing.serializers.dynamic import DynamicFieldsModelSerializer
from crowdsourcing.serializers.template import TemplateItemSerializer
from rest_framework.exceptions import ValidationError
fr... | {
"repo_name": "saviaga/crowdsource-platform",
"path": "crowdsourcing/serializers/task.py",
"copies": "1",
"size": "3959",
"license": "mit",
"hash": 2909167283770057700,
"line_mean": 40.6842105263,
"line_max": 116,
"alpha_frac": 0.6736549634,
"autogenerated": false,
"ratio": 4.1805702217529035,
... |
__author__ = 'elsabakiu, asmita, megha,kajal'
from crowdsourcing import models
from rest_framework import serializers
from crowdsourcing.serializers.worker import TaskWorkerSerializer
class TaskSerializer(serializers.ModelSerializer):
task_workers = TaskWorkerSerializer(many=True, read_only=True)
def create(... | {
"repo_name": "ryosuzuki/crowdsource-platform",
"path": "crowdsourcing/serializers/task.py",
"copies": "2",
"size": "1182",
"license": "mit",
"hash": 4501726788277235700,
"line_mean": 32.8,
"line_max": 108,
"alpha_frac": 0.6734348562,
"autogenerated": false,
"ratio": 4.0479452054794525,
"config... |
__author__ = 'elsabakiu, dmorina, asmita, megha,kajal'
from crowdsourcing.serializers.task import *
from rest_framework import status, viewsets
from rest_framework.response import Response
from rest_framework.decorators import detail_route, list_route
from crowdsourcing.models import Worker,TaskWorker,Module
from djan... | {
"repo_name": "ryosuzuki/crowdsource-platform",
"path": "crowdsourcing/viewsets/task.py",
"copies": "2",
"size": "1698",
"license": "mit",
"hash": -6009392962429661000,
"line_mean": 37.6136363636,
"line_max": 83,
"alpha_frac": 0.7473498233,
"autogenerated": false,
"ratio": 3.7901785714285716,
"... |
__author__ = 'elsabakiu, dmorina, neilthemathguy, megha, asmita'
from crowdsourcing import models
from rest_framework import serializers
from crowdsourcing.serializers.template import TemplateItemSerializer
from crowdsourcing.serializers.dynamic import DynamicFieldsModelSerializer
from rest_framework.exceptions import... | {
"repo_name": "ryosuzuki/crowdsource-platform",
"path": "crowdsourcing/serializers/worker.py",
"copies": "2",
"size": "8045",
"license": "mit",
"hash": 3688710145697652000,
"line_mean": 42.4864864865,
"line_max": 170,
"alpha_frac": 0.6616532007,
"autogenerated": false,
"ratio": 4.028542814221332,... |
__author__ = ['elsabakiu', 'dmorina', 'neilthemathguy', 'megha']
from crowdsourcing import models
from datetime import datetime
from rest_framework import serializers
import json
class WorkerSerializer(serializers.ModelSerializer):
class Meta:
model = models.Worker
class SkillSerializer(seriali... | {
"repo_name": "asmitagupta/crowdsource-platform",
"path": "crowdsourcing/serializers/worker.py",
"copies": "1",
"size": "1872",
"license": "mit",
"hash": 9176719287234818000,
"line_mean": 31.8421052632,
"line_max": 100,
"alpha_frac": 0.6704059829,
"autogenerated": false,
"ratio": 4.16,
"config_... |
__author__ = ['elsabakiu', 'dmorina', 'neilthemathguy', 'megha']
from crowdsourcing import models
from rest_framework import serializers
class WorkerSerializer(serializers.ModelSerializer):
class Meta:
model = models.Worker
fields = ('profile')
read_only_fields = ('profile')
class SkillS... | {
"repo_name": "ramcn/demo3",
"path": "crowdsourcing/serializers/worker.py",
"copies": "3",
"size": "1739",
"license": "mit",
"hash": -2520348897612815000,
"line_mean": 37.6666666667,
"line_max": 100,
"alpha_frac": 0.6762507188,
"autogenerated": false,
"ratio": 4.053613053613054,
"config_test": ... |
__author__ = 'elsabakiu, neilthemathguy, dmorina'
from rest_framework import status, viewsets
from rest_framework.response import Response
from crowdsourcing.serializers.project import *
from rest_framework.decorators import detail_route, list_route
from crowdsourcing.models import Module, Category, Project, Requeste... | {
"repo_name": "jayaneetha/crowdsource-platform",
"path": "crowdsourcing/viewsets/project.py",
"copies": "6",
"size": "3744",
"license": "mit",
"hash": 6580533223625874000,
"line_mean": 40.1538461538,
"line_max": 126,
"alpha_frac": 0.6947115385,
"autogenerated": false,
"ratio": 4.451843043995244,
... |
__author__ = 'elubin'
from collections import defaultdict
import logging
import re
class ProcessManager(object):
def __init__(self, vm_socket):
self.vm_socket = vm_socket
def get_pids(self):
agent_pid = self.vm_socket.get_pid()
ps_output = self.vm_socket.get_ps()
# now filter ... | {
"repo_name": "ecbtln/vm2docker",
"path": "chief/ps.py",
"copies": "1",
"size": "2125",
"license": "mit",
"hash": -4040395348322825700,
"line_mean": 29.8115942029,
"line_max": 95,
"alpha_frac": 0.5298823529,
"autogenerated": false,
"ratio": 3.5416666666666665,
"config_test": false,
"has_no_ke... |
__author__ = 'elubin'
from constants.agent import EXIT_CMD, GET_DEPS_CMD, GET_FS_CMD, GET_INSTALLED_CMD, GET_BOUND_SOCKETS_CMD, GET_PID_CMD, GET_PROC_CMD, GET_PS_CMD
class RPCCommand(object):
"""
Each subclass will be responsible for handling the behavior of a given RPC command
"""
COMMAND = None
... | {
"repo_name": "ecbtln/vm2docker",
"path": "chief/agent_rpc/rpc.py",
"copies": "1",
"size": "2903",
"license": "mit",
"hash": -215977325277735740,
"line_mean": 28.3333333333,
"line_max": 143,
"alpha_frac": 0.637616259,
"autogenerated": false,
"ratio": 3.922972972972973,
"config_test": false,
"... |
__author__ = 'elubin'
from networkx import DiGraph
from networkx.algorithms.components.strongly_connected import strongly_connected_component_subgraphs
import logging
def filter_non_dependencies(nodes, get_deps_func):
node_set = set(nodes)
G = DiGraph()
G.add_nodes_from(nodes)
# process the edges bas... | {
"repo_name": "ecbtln/vm2docker",
"path": "chief/packagemanager/dependencygraph.py",
"copies": "1",
"size": "1236",
"license": "mit",
"hash": 3215502442287721000,
"line_mean": 31.5263157895,
"line_max": 105,
"alpha_frac": 0.6343042071,
"autogenerated": false,
"ratio": 3.6676557863501484,
"confi... |
__author__ = 'elubin'
import os
import glob
import logging
import subprocess
import tempfile
import tarfile
import re
from packagemanager.packagemanager import MultiRootPackageManager
from dockerfile import DiffBasedDockerBuild, DockerBuild, DockerFile
#from include import RESULTS_LOGGER
from utils.utils import rm_rf, ... | {
"repo_name": "ecbtln/vm2docker",
"path": "chief/filesystem.py",
"copies": "1",
"size": "9226",
"license": "mit",
"hash": 7017838956776410000,
"line_mean": 42.3192488263,
"line_max": 165,
"alpha_frac": 0.593973553,
"autogenerated": false,
"ratio": 3.788911704312115,
"config_test": false,
"has... |
__author__ = 'elubin'
import os
import re
import shutil
import importlib
import tarfile
import logging
def class_for_name(module_name, class_name):
# load the module, will raise ImportError if module cannot be loaded
m = importlib.import_module(module_name)
# get the class, will raise AttributeError if cla... | {
"repo_name": "ecbtln/vm2docker",
"path": "chief/utils/utils.py",
"copies": "1",
"size": "2381",
"license": "mit",
"hash": 997460096219682200,
"line_mean": 27.3452380952,
"line_max": 78,
"alpha_frac": 0.6232675346,
"autogenerated": false,
"ratio": 3.663076923076923,
"config_test": false,
"has... |
__author__ = 'elubin'
import tempfile
import os
import logging
import json
import re
import tarfile
import subprocess
import shutil
from include import RESULTS_LOGGER
from utils.utils import rm_rf
class DockerFile(object):
def __init__(self, repo, tag=None):
self.repo = repo
self.tag = tag
... | {
"repo_name": "ecbtln/vm2docker",
"path": "chief/dockerfile.py",
"copies": "1",
"size": "6475",
"license": "mit",
"hash": -8607902248414492000,
"line_mean": 32.0357142857,
"line_max": 140,
"alpha_frac": 0.5881081081,
"autogenerated": false,
"ratio": 3.4718498659517425,
"config_test": false,
"... |
__author__ = 'elubin'
import abc
import logging
import subprocess
import tempfile
import os
from utils.utils import rm_rf, list_all_files_and_folders, generate_regexp
from include import RESULTS_LOGGER
class FilesystemDiffTool(object):
__metaclass__ = abc.ABCMeta
def __enter__(self):
return self
... | {
"repo_name": "ecbtln/vm2docker",
"path": "chief/diff.py",
"copies": "1",
"size": "5864",
"license": "mit",
"hash": -5845511480337303000,
"line_mean": 42.1176470588,
"line_max": 190,
"alpha_frac": 0.6493860846,
"autogenerated": false,
"ratio": 3.595340282035561,
"config_test": false,
"has_no_... |
__author__ = 'elubin'
import abc
import logging
from utils.utils import generate_regexp, rm_rf
from dependencygraph import filter_non_dependencies
from dockerfile import DockerBuild, DockerFile
import constants.agent
class PackageManager(object):
__metaclass__ = abc.ABCMeta
PACKAGE_BLACKLIST = None
PACK... | {
"repo_name": "ecbtln/vm2docker",
"path": "chief/packagemanager/packagemanager.py",
"copies": "1",
"size": "8527",
"license": "mit",
"hash": 274203695886528320,
"line_mean": 33.108,
"line_max": 138,
"alpha_frac": 0.6299988273,
"autogenerated": false,
"ratio": 3.385073441842001,
"config_test": f... |
__author__ = 'elubin'
import logging
import socket
from rpc import ExitCommand, RPCCommand
from constants.agent import SEND_FILE_HEADER_FMT, DEFAULT_AGENT_PORT
from utils.utils import inheritors
from utils.ringbuffer import ringbuffer
import re
import tempfile
import os
class CommunicationLayer(object):
"""
... | {
"repo_name": "ecbtln/vm2docker",
"path": "chief/agent_rpc/com_layer.py",
"copies": "1",
"size": "4276",
"license": "mit",
"hash": -4183227149329881000,
"line_mean": 32.9365079365,
"line_max": 118,
"alpha_frac": 0.6138914874,
"autogenerated": false,
"ratio": 4.188050930460333,
"config_test": fa... |
__author__ = 'e.lyzlov'
from fixture.session import SessionHelper
from fixture.movie import MovieHelper
#from fixture.waiter import WaitHelper
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.common.by import By
from selenium.webdriver.support.expected_conditions import *
class Applica... | {
"repo_name": "Dananas732/php4dvd_lyzlov",
"path": "fixture/application.py",
"copies": "1",
"size": "1224",
"license": "apache-2.0",
"hash": -4772987031093162000,
"line_mean": 31.2368421053,
"line_max": 103,
"alpha_frac": 0.6429738562,
"autogenerated": false,
"ratio": 3.558139534883721,
"config... |
__author__ = 'e.lyzlov'
from model.address import add_address
from model.group import Group
import random
def check_for_address(app):
if app.address.count() == 0:
app.address.create(add_address(firstname="111", middlename="222", lastname="333",
nickname="444", title="555", compan... | {
"repo_name": "Dananas732/python",
"path": "test/test_add_contact_in_group.py",
"copies": "1",
"size": "1587",
"license": "apache-2.0",
"hash": -7475595726057777000,
"line_mean": 33.5217391304,
"line_max": 125,
"alpha_frac": 0.6742281033,
"autogenerated": false,
"ratio": 1.8937947494033414,
"co... |
__author__ = 'e.lyzlov'
from model.address import add_address
from selenium.webdriver.support.select import Select
class AddressHelper:
def __init__(self, app):
self.app = app
def create(self, add_address):
wd = self.app.wd
self.app.open_home_page()
wd.find_element_by_link_te... | {
"repo_name": "Dananas732/python",
"path": "fixture/address.py",
"copies": "1",
"size": "7958",
"license": "apache-2.0",
"hash": 5492429008600784000,
"line_mean": 43.9604519774,
"line_max": 149,
"alpha_frac": 0.6112088464,
"autogenerated": false,
"ratio": 3.4272179155900084,
"config_test": fals... |
__author__ = 'e.lyzlov'
from model.address import add_address
import random
import string
import os.path
import jsonpickle
import getopt
import sys
try:
opts, args = getopt.getopt(sys.argv[1:], "n:f:", ["number of contacts", "file"])
except getopt.GetoptError as err:
getopt.usage()
sys.exit(2)
n = 5
f = "... | {
"repo_name": "Dananas732/python",
"path": "generator/g_contact.py",
"copies": "1",
"size": "1541",
"license": "apache-2.0",
"hash": -4695177908236371000,
"line_mean": 34.8604651163,
"line_max": 177,
"alpha_frac": 0.6534717716,
"autogenerated": false,
"ratio": 3.4168514412416853,
"config_test":... |
__author__ = 'e.lyzlov'
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_lin... | {
"repo_name": "Dananas732/python",
"path": "fixture/group.py",
"copies": "1",
"size": "3688",
"license": "apache-2.0",
"hash": 2451406073887736000,
"line_mean": 33.1481481481,
"line_max": 100,
"alpha_frac": 0.5886659436,
"autogenerated": false,
"ratio": 3.3711151736745886,
"config_test": false,... |
__author__ = 'e.lyzlov'
from pony.orm import *
from datetime import datetime
from model.group import Group
from model.address import add_address
from pymysql.converters import decoders
class ORMFixture:
db = Database()
class ORMGroup(db.Entity):
_table_ = 'group_list'
id = PrimaryKey(int, col... | {
"repo_name": "Dananas732/python",
"path": "fixture/orm.py",
"copies": "1",
"size": "3191",
"license": "apache-2.0",
"hash": -240106391329621380,
"line_mean": 43.9436619718,
"line_max": 131,
"alpha_frac": 0.6565340019,
"autogenerated": false,
"ratio": 3.803337306317044,
"config_test": false,
... |
__author__ = 'e.lyzlov'
from random import randrange
from model.address import add_address
import re
def check_for_address(app):
if app.address.count() == 0:
app.address.create(add_address(firstname="111", middlename="222", lastname="333",
nickname="444", title="555", company="666... | {
"repo_name": "Dananas732/python",
"path": "test/test_phones.py",
"copies": "1",
"size": "1858",
"license": "apache-2.0",
"hash": -7017759557174140000,
"line_mean": 49.2432432432,
"line_max": 135,
"alpha_frac": 0.6453175457,
"autogenerated": false,
"ratio": 3.472897196261682,
"config_test": fal... |
__author__ = 'e.lyzlov'
from selenium.webdriver.common.keys import Keys
class MovieHelper:
def __init__(self, app):
self.app = app
def add_movie(self, film):
wd = self.app.wd
self.app.open_add_movie_page()
wd.find_element_by_name("name").clear()
wd.find_element_by_n... | {
"repo_name": "Dananas732/php4dvd_lyzlov",
"path": "fixture/movie.py",
"copies": "1",
"size": "2365",
"license": "apache-2.0",
"hash": 6091887612856328000,
"line_mean": 36.5555555556,
"line_max": 113,
"alpha_frac": 0.5835095137,
"autogenerated": false,
"ratio": 3.1241743725231177,
"config_test"... |
__author__ = 'e.lyzlov'
from sys import maxsize
class add_address:
def __init__(self, id=None, firstname=None, middlename=None, lastname=None,
all_phones_from_nome_page=None, nickname=None, title=None,
company=None, address=None, homephone=None, mobilephone=None,
... | {
"repo_name": "Dananas732/python",
"path": "model/address.py",
"copies": "1",
"size": "1455",
"license": "apache-2.0",
"hash": -8616341148200910000,
"line_mean": 37.3157894737,
"line_max": 149,
"alpha_frac": 0.612371134,
"autogenerated": false,
"ratio": 3.75,
"config_test": false,
"has_no_key... |
__author__ = 'e.lyzlov'
import mysql.connector
from model.group import Group
from model.address import add_address
class DbFixture:
def __init__(self, host, name, user, password):
self.host = host
self.name = name
self.user = user
self.password = password
self.connection = ... | {
"repo_name": "Dananas732/python",
"path": "fixture/db.py",
"copies": "1",
"size": "1403",
"license": "apache-2.0",
"hash": 5629826951884092000,
"line_mean": 32.4285714286,
"line_max": 116,
"alpha_frac": 0.5923022096,
"autogenerated": false,
"ratio": 4.114369501466276,
"config_test": false,
"... |
__author__ = 'e.lyzlov'
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_... | {
"repo_name": "Dananas732/python",
"path": "fixture/session.py",
"copies": "1",
"size": "1458",
"license": "apache-2.0",
"hash": -857701536100072100,
"line_mean": 29.375,
"line_max": 82,
"alpha_frac": 0.5624142661,
"autogenerated": false,
"ratio": 3.328767123287671,
"config_test": false,
"has... |
__author__ = 'e.lyzlov'
from model.address import add_address
import re
def check_for_address(app):
if app.address.count() == 0:
app.address.create(add_address(firstname="111", middlename="222", lastname="333",
nickname="444", title="555", company="666", address="777",
... | {
"repo_name": "Dananas732/python",
"path": "test/test_all_contacts_data.py",
"copies": "1",
"size": "1584",
"license": "apache-2.0",
"hash": -8778346887458897000,
"line_mean": 40.7105263158,
"line_max": 135,
"alpha_frac": 0.5738636364,
"autogenerated": false,
"ratio": 3.7358490566037736,
"confi... |
__author__ = 'e.lyzlov'
from selenium import webdriver
from fixture.session import SessionHelper
from fixture.group import GroupHelper
from fixture.address import AddressHelper
class Application:
def __init__(self, browser, base_url):
if browser == "firefox":
self.wd = webdriver.Firefox()
... | {
"repo_name": "Dananas732/python",
"path": "fixture/application.py",
"copies": "1",
"size": "1148",
"license": "apache-2.0",
"hash": -8273820427829979000,
"line_mean": 26.3333333333,
"line_max": 149,
"alpha_frac": 0.5940766551,
"autogenerated": false,
"ratio": 3.9450171821305844,
"config_test":... |
__author__ = 'e.lyzlov'
'''
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.wait import WebDriverWait
class WaitHelper:
def __init__(self, app, driver):
wd = self.app.wd
self.app = app
self.wait = WebDriverWait(wd, 30)
def wait(self):
self.wait... | {
"repo_name": "Dananas732/php4dvd_lyzlov",
"path": "fixture/waiter.py",
"copies": "1",
"size": "1117",
"license": "apache-2.0",
"hash": -3137200265098053000,
"line_mean": 26.2682926829,
"line_max": 112,
"alpha_frac": 0.5487914056,
"autogenerated": false,
"ratio": 3.546031746031746,
"config_test... |
__author__ = 'emalishenko'
from fixture.contact import Contact
from random import randrange
import re
def test_name_on_homepage(app):
if app.contact.count() == 0:
app.contact.create(Contact(firstname = "First Name", middlename = "Middle Name", lastname = "Last Name",
nic... | {
"repo_name": "emalishenko/python_training",
"path": "test/test_contact_names.py",
"copies": "1",
"size": "1075",
"license": "apache-2.0",
"hash": 340180361731825,
"line_mean": 38.8148148148,
"line_max": 112,
"alpha_frac": 0.6586046512,
"autogenerated": false,
"ratio": 3.5953177257525084,
"conf... |
__author__ = 'emalishenko'
from model.contact import Contact
from random import randrange
def test_modify_contact_first_name(app):
contact = Contact(firstname = "First Name Update")
if app.contact.count() == 0:
app.contact.create(Contact(firstname = "To be modified", middlename = "To be modified", las... | {
"repo_name": "emalishenko/python_training",
"path": "test/test_contact_modify.py",
"copies": "1",
"size": "2265",
"license": "apache-2.0",
"hash": 6584902986290702000,
"line_mean": 48.2391304348,
"line_max": 155,
"alpha_frac": 0.6750551876,
"autogenerated": false,
"ratio": 3.240343347639485,
"... |
__author__ = 'emalishenko'
from model.contact import Contact
import re
class ContactHelper:
def __init__(self, app):
self.app = app
def create(self, contact):
wd = self.app.wd
# init contact creation
wd.find_element_by_link_text("add new").click()
self.fill_contact_fo... | {
"repo_name": "emalishenko/python_training",
"path": "fixture/contact.py",
"copies": "1",
"size": "6616",
"license": "apache-2.0",
"hash": 7929312497288823000,
"line_mean": 41.6838709677,
"line_max": 147,
"alpha_frac": 0.6005139057,
"autogenerated": false,
"ratio": 3.601524224278715,
"config_te... |
__author__ = 'emalishenko'
from model.group import Group
from random import randrange
def test_modify_group_name(app):
group = Group(name="To be modified")
if app.group.count() == 0:
app.group.create(Group(name="New group name"))
old_groups = app.group.get_group_list()
index = randrange(len(ol... | {
"repo_name": "emalishenko/python_training",
"path": "test/test_group_modify.py",
"copies": "1",
"size": "1315",
"license": "apache-2.0",
"hash": -279948834611365470,
"line_mean": 38.8787878788,
"line_max": 97,
"alpha_frac": 0.655513308,
"autogenerated": false,
"ratio": 3.002283105022831,
"conf... |
__author__ = 'emalishenko'
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... | {
"repo_name": "emalishenko/python_training",
"path": "fixture/group.py",
"copies": "1",
"size": "3181",
"license": "apache-2.0",
"hash": 6707447291044027000,
"line_mean": 32.8404255319,
"line_max": 100,
"alpha_frac": 0.5932096825,
"autogenerated": false,
"ratio": 3.446370530877573,
"config_test... |
__author__ = 'emalishenko'
from sys import maxsize
class Contact:
def __init__(self, firstname = None, middlename = None, lastname = None, id = None, nick = None,
title = None, company = None, address = None,
all_phones_from_homepage = None, homephone = None, mobilephone = None,... | {
"repo_name": "emalishenko/python_training",
"path": "model/contact.py",
"copies": "1",
"size": "1620",
"license": "apache-2.0",
"hash": 5025229820683347000,
"line_mean": 34.2173913043,
"line_max": 117,
"alpha_frac": 0.5833333333,
"autogenerated": false,
"ratio": 3.9130434782608696,
"config_tes... |
__author__ = 'emalishenko'
import re
def test_phones_on_home_page(app):
contact_from_homepage = app.contact.get_contact_list()[0]
contact_from_editpage = app.contact.get_contact_info_from_edit_page(0)
all_phones_from_editpage = [contact_from_editpage.homephone, contact_from_editpage.mobilephone,
... | {
"repo_name": "emalishenko/python_training",
"path": "test/test_contact_phones.py",
"copies": "1",
"size": "1520",
"license": "apache-2.0",
"hash": 2127509538764673500,
"line_mean": 46.5,
"line_max": 107,
"alpha_frac": 0.6605263158,
"autogenerated": false,
"ratio": 3.326039387308534,
"config_te... |
__author__ = 'emalishenko'
class SessionHelper:
def __init__(self, app):
self.app = app
def login(self, username, password):
wd = self.app.wd
self.app.open_homepage()
wd.find_element_by_name("user").click()
wd.find_element_by_name("user").clear()
wd.find_eleme... | {
"repo_name": "emalishenko/python_training",
"path": "fixture/session.py",
"copies": "1",
"size": "1429",
"license": "apache-2.0",
"hash": -8222051096013904000,
"line_mean": 28.7916666667,
"line_max": 73,
"alpha_frac": 0.5675297411,
"autogenerated": false,
"ratio": 3.3782505910165486,
"config_t... |
__author__ = 'emalishenko'
from fixture.contact import Contact
from random import randrange
import re
def test_name_on_homepage(app):
if app.contact.count() == 0:
app.contact.create(Contact(firstname = "First Name", middlename = "Middle Name", lastname = "Last Name",
ni... | {
"repo_name": "emalishenko/python_training",
"path": "test/test_contact_emails.py",
"copies": "1",
"size": "1050",
"license": "apache-2.0",
"hash": -2691937216017345000,
"line_mean": 44.6956521739,
"line_max": 121,
"alpha_frac": 0.6580952381,
"autogenerated": false,
"ratio": 3.420195439739414,
... |
import machine, ugfx, utime as time
wait_for_interrupt = True
button_pushed = ''
def notice(text, title="SHA2017", close_text="Close", width = 296, height = 128, font="Roboto_Regular12"):
"""Show a notice which can be closed with button A.
The caller is responsible for flushing the display after the user has conf... | {
"repo_name": "SHA2017-badge/micropython-esp32",
"path": "esp32/modules/dialogs.py",
"copies": "1",
"size": "9772",
"license": "mit",
"hash": 1716423285586186000,
"line_mean": 31.6822742475,
"line_max": 172,
"alpha_frac": 0.7006753991,
"autogenerated": false,
"ratio": 2.8316430020283976,
"confi... |
import usocket
import ujson
import os
import time
import gc
"""Usage
from http_client import *
print(get("http://example.com").raise_for_status().content)
post("http://mydomain.co.uk/api/post", urlencoded="SOMETHING").raise_for_status().close() # If response is not consumed you need to close manually
# Or, if you pr... | {
"repo_name": "emfcamp/micropython",
"path": "stmhal/init-files/lib/http_client.py",
"copies": "1",
"size": "6250",
"license": "mit",
"hash": -8200724167162095000,
"line_mean": 25.8240343348,
"line_max": 146,
"alpha_frac": 0.65904,
"autogenerated": false,
"ratio": 3.044325377496347,
"config_tes... |
import os
import json
class Database:
"""A simple key/value store backed by a json file
Keys need to be convertable to str
Values can be anything json can store, including a dict
Usage:
from database import Database
with Database() as db:
print(db.get("hello", "default"))
db.... | {
"repo_name": "SHA2017-badge/micropython-esp32",
"path": "esp32/modules/database.py",
"copies": "1",
"size": "2274",
"license": "mit",
"hash": -2862051718090451500,
"line_mean": 26.3975903614,
"line_max": 88,
"alpha_frac": 0.5694810906,
"autogenerated": false,
"ratio": 3.9755244755244754,
"conf... |
import pyb, onboard
CONFIG = {
"JOY_UP": pyb.Pin.PULL_DOWN,
"JOY_DOWN": pyb.Pin.PULL_DOWN,
"JOY_RIGHT": pyb.Pin.PULL_DOWN,
"JOY_LEFT": pyb.Pin.PULL_DOWN,
"JOY_CENTER": pyb.Pin.PULL_DOWN,
"BTN_MENU": pyb.Pin.PULL_UP,
"BTN_A": pyb.Pin.PULL_UP,
"BTN_B": pyb.Pin.PULL_UP
}
_tilda_pins = {}
_tilda_interrupts = {}
... | {
"repo_name": "emfcamp/micropython",
"path": "stmhal/init-files/lib/buttons.py",
"copies": "1",
"size": "3350",
"license": "mit",
"hash": 2989035389650745000,
"line_mean": 26.2357723577,
"line_max": 93,
"alpha_frac": 0.7095522388,
"autogenerated": false,
"ratio": 2.8127623845507976,
"config_tes... |
import network
import os
import json
import pyb
import dialogs
_nic = None
def nic():
global _nic
if not _nic:
_nic = network.CC3100()
return _nic
def connection_details():
data = None
try:
if "wifi.json" in os.listdir():
with open("wifi.json") as f:
data = json.loads(f.read())
... | {
"repo_name": "emfcamp/micropython",
"path": "stmhal/init-files/lib/wifi.py",
"copies": "1",
"size": "4696",
"license": "mit",
"hash": -5625929109888603000,
"line_mean": 29.8947368421,
"line_max": 142,
"alpha_frac": 0.5119250426,
"autogenerated": false,
"ratio": 4.15575221238938,
"config_test":... |
import ugfx
import buttons
import pyb
default_style_badge = ugfx.Style()
default_style_badge.set_focus(ugfx.RED)
default_style_badge.set_enabled([ugfx.WHITE, ugfx.html_color(0x3C0246), ugfx.GREY, ugfx.RED])
default_style_badge.set_background(ugfx.html_color(0x3C0246))
default_style_dialog = ugfx.Style()
default_styl... | {
"repo_name": "emfcamp/micropython",
"path": "stmhal/init-files/lib/dialogs.py",
"copies": "1",
"size": "7031",
"license": "mit",
"hash": 1651831980449185800,
"line_mean": 33.1310679612,
"line_max": 162,
"alpha_frac": 0.6922201678,
"autogenerated": false,
"ratio": 2.696969696969697,
"config_tes... |
__author__ = 'Emilio'
import sys, datetime
from Gestor import Gestor
def menu():
gestor = Gestor()
date = datetime.datetime.now()
print(date)
print('\t1. Mostrar Aplicaciones Gratuitas ')
print('\t2. Mostrar Aplicaciones de Pago')
print('\t3. Añadir app')
print('\t4. Sumar una descarga')... | {
"repo_name": "emilioriosvz/EmilioRiosExamen",
"path": "peachestore/Main.py",
"copies": "1",
"size": "2090",
"license": "apache-2.0",
"hash": -5449385375871920000,
"line_mean": 25.2784810127,
"line_max": 95,
"alpha_frac": 0.5650289017,
"autogenerated": false,
"ratio": 3.2037037037037037,
"confi... |
#----------------------------------------------------------------------------
# Export houdini instance point info to a .csv table
#----------------------------------------------------------------------------
import hou
def exportInstToCsv(current):
path_geo = current.parm('points_inst').eval()
path_csv = cu... | {
"repo_name": "FantomeInteractive/houdini_tools",
"path": "scripts/python/inst_to_csv.py",
"copies": "1",
"size": "1402",
"license": "mit",
"hash": 8951977511751040000,
"line_mean": 28.2083333333,
"line_max": 77,
"alpha_frac": 0.4151212553,
"autogenerated": false,
"ratio": 3.505,
"config_test":... |
from django.db import models
# Local module
import gcsConstants
class Image(models.Model):
title = models.CharField(max_length=gcsConstants.MAX_MISC_STR_LENGTH)
# Who added the image
author = models.CharField(max_length=gcsConstants.MAX_MISC_STR_LENGTH)
# Could be a local path or a url
# Intentionally av... | {
"repo_name": "odeke-em/restAssured",
"path": "gcs/models.py",
"copies": "1",
"size": "4344",
"license": "mit",
"hash": 8131559314103941000,
"line_mean": 31.9090909091,
"line_max": 100,
"alpha_frac": 0.7479281768,
"autogenerated": false,
"ratio": 3.4124116260801256,
"config_test": false,
"has... |
from django.db import models
# Local module
import theBearConstants
class Artist(models.Model):
name = models.CharField(max_length=theBearConstants.MAX_MISC_STR_LENGTH)
uri = models.CharField(max_length=theBearConstants.MAX_MISC_STR_LENGTH, blank=True)
extraInfo = models.CharField(max_length=theBearCons... | {
"repo_name": "odeke-em/restAssured",
"path": "thebear/models.py",
"copies": "1",
"size": "1291",
"license": "mit",
"hash": -3180323725291808000,
"line_mean": 36.9705882353,
"line_max": 93,
"alpha_frac": 0.7273431448,
"autogenerated": false,
"ratio": 3.388451443569554,
"config_test": false,
"... |
from django.db import models
# Local module
import uploaderConstants
class Blob(models.Model):
title = models.CharField(max_length=uploaderConstants.MAX_MISC_STR_LENGTH)
author = models.CharField(max_length=uploaderConstants.MAX_MISC_STR_LENGTH)
# Could be a local path or a url
# Intentionally avoiding Djan... | {
"repo_name": "odeke-em/restAssured",
"path": "uploader/models.py",
"copies": "1",
"size": "1455",
"license": "mit",
"hash": 8449690729474625000,
"line_mean": 43.0909090909,
"line_max": 112,
"alpha_frac": 0.7683848797,
"autogenerated": false,
"ratio": 3.523002421307506,
"config_test": false,
... |
# This project's content links up with the file system and hence the only method that will use
# crudAPI will be 'GET'. The rest will involve some heavy lifting with physical files
from django.template import RequestContext
from django.shortcuts import render_to_response
from django.views.decorators.csrf import csrf_... | {
"repo_name": "odeke-em/restAssured",
"path": "uploader/views.py",
"copies": "1",
"size": "5561",
"license": "mit",
"hash": -8435212414887775000,
"line_mean": 37.8881118881,
"line_max": 94,
"alpha_frac": 0.5912605646,
"autogenerated": false,
"ratio": 4.716709075487701,
"config_test": false,
"... |
import json
import hmac
import hashlib
from django.http import HttpResponse
import django.contrib.auth as djangoAuth
from django.core.context_processors import csrf
from django.shortcuts import render_to_response
from django.views.decorators.csrf import (
csrf_exempt, csrf_protect, ensure_csrf_cookie
)
# Set... | {
"repo_name": "odeke-em/restAssured",
"path": "auth/views.py",
"copies": "1",
"size": "11428",
"license": "mit",
"hash": 8921836835273593000,
"line_mean": 32.6117647059,
"line_max": 114,
"alpha_frac": 0.6729961498,
"autogenerated": false,
"ratio": 4.151107882310207,
"config_test": false,
"has... |
import sys
import time
import uuid
import random
import hashlib
from django.db import models
import django.contrib.auth as djangoAuth
# Local module
import authConstants
generateUUID = uuid.uuid4
class App(models.Model):
meta = models.CharField(max_length=authConstants.MAX_META_LENGTH)
name = models.CharFie... | {
"repo_name": "odeke-em/restAssured",
"path": "auth/models.py",
"copies": "1",
"size": "1523",
"license": "mit",
"hash": 243295617817050050,
"line_mean": 33.6136363636,
"line_max": 141,
"alpha_frac": 0.7209455023,
"autogenerated": false,
"ratio": 3.6348448687350836,
"config_test": false,
"has... |
__author__ = 'emorway'
import numpy as np
from ..pakbase import Package
from ..utils import Util2d, Util3d, Transient2d
class Mt3dUzt(Package):
"""
MT3D-USGS Unsaturated-Zone Transport package class
Parameters
----------
model : model object
The model object (of type :class:`flopy.m... | {
"repo_name": "brclark-usgs/flopy",
"path": "flopy/mt3d/mtuzt.py",
"copies": "2",
"size": "28583",
"license": "bsd-3-clause",
"hash": 5076024531231332000,
"line_mean": 41.0957290133,
"line_max": 82,
"alpha_frac": 0.5044956792,
"autogenerated": false,
"ratio": 4.018416982988893,
"config_test": f... |
__author__ = 'emorway'
import sys
import numpy as np
from ..pakbase import Package
from ..utils import Util2d, Util3d, read1d, MfList
class Mt3dCts(Package):
"""
MT3D-USGS Contaminant Treatment System package class
Parameters
----------
model : model object
The model object (of type :class... | {
"repo_name": "bdestombe/flopy-1",
"path": "flopy/mt3d/mtcts.py",
"copies": "2",
"size": "12351",
"license": "bsd-3-clause",
"hash": 5448712073214507000,
"line_mean": 36.8865030675,
"line_max": 81,
"alpha_frac": 0.5683750304,
"autogenerated": false,
"ratio": 3.920952380952381,
"config_test": fa... |
__author__ = 'emorway'
import sys
import numpy as np
from ..pakbase import Package
from ..utils import Util2d, MfList
class Mt3dSft(Package):
"""
MT3D-USGS StreamFlow Transport package class
Parameters
----------
model : model object
The model object (of type :class:`flopy.mt3dms.mt.Mt3... | {
"repo_name": "bdestombe/flopy-1",
"path": "flopy/mt3d/mtsft.py",
"copies": "2",
"size": "26217",
"license": "bsd-3-clause",
"hash": -6704687982512465000,
"line_mean": 39.2101226994,
"line_max": 109,
"alpha_frac": 0.5551741237,
"autogenerated": false,
"ratio": 3.9194199431903125,
"config_test":... |
__author__ = 'emorway'
import sys
import numpy as np
from ..pakbase import Package
from ..utils import Util2d, read1d, MfList
class Mt3dLkt(Package):
"""
MT3D-USGS LaKe Transport package class
Parameters
----------
model : model object
The model object (of type :class:`flopy.mt3dms.mt.M... | {
"repo_name": "brclark-usgs/flopy",
"path": "flopy/mt3d/mtlkt.py",
"copies": "2",
"size": "15983",
"license": "bsd-3-clause",
"hash": -753751692048062100,
"line_mean": 35.9122401848,
"line_max": 92,
"alpha_frac": 0.5428267534,
"autogenerated": false,
"ratio": 4.025944584382872,
"config_test": f... |
__author__ = 'emrecelikten'
import json
import sys
import codecs
def load_hangouts_json(filename):
with open(filename) as f:
return json.load(f)
def find_user_id(data, person_name):
for state in data['conversation_state']:
conversation = state['conversation_state']['conversation']
pa... | {
"repo_name": "emrecelikten/hangouts-extractor",
"path": "extract.py",
"copies": "1",
"size": "2575",
"license": "mit",
"hash": -7008429111263998000,
"line_mean": 32.4545454545,
"line_max": 104,
"alpha_frac": 0.5491262136,
"autogenerated": false,
"ratio": 4.087301587301587,
"config_test": false... |
__author__ = 'Emre Celikten'
import numpy as np
class HMM:
"""A data structure that contains the necessary information for an HMM, such as transition probabilities,
initial state probabilities, and so on."""
def __init__(self, initial_probabilities, transition_probabilities, observation_probabilities):
... | {
"repo_name": "emrecelikten/hmm-visualization",
"path": "hmm.py",
"copies": "2",
"size": "3518",
"license": "mit",
"hash": -1376578903547821800,
"line_mean": 41.3855421687,
"line_max": 113,
"alpha_frac": 0.6523592951,
"autogenerated": false,
"ratio": 4.011402508551882,
"config_test": false,
"... |
__author__ = 'emre'
import os
import os.path
import pickle
import sys
import numpy as np
import pandas as pd
import seaborn as sns
from scipy.stats import uniform, multivariate_normal
from model import io
from model.model import Model
from model.utils import log_sum
from mongo import get_mongo_database_with_auth
d... | {
"repo_name": "mmathioudakis/geotopics",
"path": "visualization/feature_contribution.py",
"copies": "1",
"size": "5778",
"license": "mit",
"hash": -5433648189311522000,
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"c... |
__author__ = 'emre'
import unittest
from hmm import *
import sklearn.hmm
import random
def generate_observations(num_classes):
size = random.randint(5, 30)
observations = np.empty(size).astype(int)
for t in xrange(size):
observations[t] = random.randint(0, num_classes - 1)
return observatio... | {
"repo_name": "emrecelikten/emrecelikten.github.io",
"path": "hmm-test.py",
"copies": "2",
"size": "2009",
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"config_test": t... |
__author__ = 'enaghib'
import numpy as np
import ephem
import NightDataGenerator as DataGen
import FBDE
import time
import DBreadwrite as DB
import os
import matplotlib.pyplot as plt
Site = ephem.Observer()
Site.lon = -1.2320792
Site.lat = -0.517781017
Site.elevation = 2650
Site.pressure ... | {
"repo_name": "elahesadatnaghib/feature-based-scheduler",
"path": "GrayTraining.py",
"copies": "1",
"size": "2755",
"license": "mit",
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"ratio": 2.8169734151329244,
"conf... |
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