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__author__ = "Rahul Chatterjee (rahul@cs.cornell.edu)"
"""
Assuming there is a hashing function that takes a password and
userid and returns true or false.
"""
# Replace this follwoing funtion with the adequete
def call_auth_server(uid, pw):
"""This is basically the hook to a authentication server, it calls
... | {
"repo_name": "rchatterjee/mistypography",
"path": "pwlogging/pwlogging.py",
"copies": "1",
"size": "5560",
"license": "mit",
"hash": -6504205172323242000,
"line_mean": 36.0666666667,
"line_max": 100,
"alpha_frac": 0.5973021583,
"autogenerated": false,
"ratio": 3.921015514809591,
"config_test":... |
__author__ = "Rahul Chatterjee (rahul@cs.cornell.edu)"
"""
Process the logfile generated by pwlogging.py
"""
import os, sys, json, re
from checker import BUILT_IN_CHECKERS
from collections import defaultdict
"""
INFO:__main__: Received from address=('127.0.0.1', 35727), data={u'isValid': 0, u'password': u'qqwerty', ... | {
"repo_name": "rchatterjee/mistypography",
"path": "pwlogging/process_log.py",
"copies": "1",
"size": "1785",
"license": "mit",
"hash": -3864125335328328700,
"line_mean": 36.9787234043,
"line_max": 191,
"alpha_frac": 0.6257703081,
"autogenerated": false,
"ratio": 3.251366120218579,
"config_test... |
__author__ = 'rahul'
"""
A TestRunner for use with the Python unit testing framework. It
generates a HTML report to show the result at a glance.
The simplest way to use this is to invoke its main method. E.g.
import unittest
import HTMLTestRunner
... define your tests ...
if __name__ == '__main__':
... | {
"repo_name": "18701016443/mayi",
"path": "mayi/data/HTMLRunner.py",
"copies": "1",
"size": "24240",
"license": "mit",
"hash": 7512429658588472000,
"line_mean": 30.0371318822,
"line_max": 109,
"alpha_frac": 0.533539604,
"autogenerated": false,
"ratio": 3.82093316519546,
"config_test": true,
"... |
__author__ = 'rainawu'
import sys
from PyQt5.QtCore import *
from PyQt5.QtWidgets import *
from PyQt5.QtGui import *
import os
import numpy as np
nmarkers_per = 6
class ImageMarker(QMainWindow):
def __init__(self, imageList, parent=None):
super(ImageMarker, self).__init__(parent)
self.imageWidge... | {
"repo_name": "autosquid/picker",
"path": "src/marker.py",
"copies": "1",
"size": "4474",
"license": "apache-2.0",
"hash": 2575493218707243500,
"line_mean": 34.792,
"line_max": 96,
"alpha_frac": 0.5840411265,
"autogenerated": false,
"ratio": 3.8337617823479007,
"config_test": false,
"has_no_k... |
__author__ = 'rainierababao'
class Neo4jORM(object):
"""Models an object-relational mapping for the Neo4J graph database.
"""
class Graph(object):
"""Models a directed graph. Edges can have weights.
To model an undirected graph, add an edge from vertex A
to vertex B and another edge from vertex B ... | {
"repo_name": "rainiera/text-graph",
"path": "src/Graph.py",
"copies": "1",
"size": "1762",
"license": "unlicense",
"hash": -8740644867442042000,
"line_mean": 26.9682539683,
"line_max": 79,
"alpha_frac": 0.5993189557,
"autogenerated": false,
"ratio": 3.838779956427015,
"config_test": false,
"... |
__author__ = 'rainierababao'
"""Does stuff with texts from XML files made by the Go SMS Pro text backup tool.
Complete Sample XML File:
--- ~params~
<GoSms> root (required)
<SMS> t... | {
"repo_name": "rainiera/text-graph",
"path": "src/texts.py",
"copies": "1",
"size": "16924",
"license": "unlicense",
"hash": -711291400475918700,
"line_mean": 36.5254988914,
"line_max": 154,
"alpha_frac": 0.5915859135,
"autogenerated": false,
"ratio": 3.5287739783152627,
"config_test": false,
... |
import sqlite3
def dict_factory(cursor, row):
d = {}
for idx, col in enumerate(cursor.description):
d[col[0]] = row[idx]
return d
class DAL:
DB_FILE = 'allmyspace.db'
FILE_MAPPINGS_TABLE = 'file_mappings'
def __init__(self):
self.connection = sqlite3.connect(self.DB_FILE, is... | {
"repo_name": "allmyspace/allmyspace-client",
"path": "DAL.py",
"copies": "1",
"size": "3379",
"license": "mit",
"hash": -6872564373143990000,
"line_mean": 41.25,
"line_max": 157,
"alpha_frac": 0.5785735425,
"autogenerated": false,
"ratio": 3.8397727272727273,
"config_test": false,
"has_no_ke... |
__author__ = 'rajatv'
from migrations import Migrations
class QdsApp(object):
@classmethod
def setup_parsers(cls, sub_parser):
cls.generate_parser = sub_parser.add_parser("generate",
help="Generate a new migration")
cls.generate_parser.add_ar... | {
"repo_name": "vrajat/python-migrations",
"path": "qds_app/qds_app.py",
"copies": "2",
"size": "3727",
"license": "apache-2.0",
"hash": 7728802300035644000,
"line_mean": 41.3522727273,
"line_max": 119,
"alpha_frac": 0.6088006439,
"autogenerated": false,
"ratio": 3.9691160809371673,
"config_test... |
__author__ = "Rajeesh Nair"
__version__ = "0.2"
__copyright__ = "Copyright (c) 2011 Rajeesh"
__license__ = "BSD"
from django.dispatch import Signal
from django.db.models import signals
from django.db.models.loading import get_model
from django_monitor.util import (
create_moderate_perms, add_fields, save_handler,... | {
"repo_name": "rajeeshnair/Django-monitor",
"path": "django_monitor/__init__.py",
"copies": "1",
"size": "1958",
"license": "bsd-3-clause",
"hash": 7669880004913451000,
"line_mean": 30.0793650794,
"line_max": 75,
"alpha_frac": 0.6435137896,
"autogenerated": false,
"ratio": 3.63265306122449,
"co... |
__author__ = "Rajiv Mayani"
import logging
import uuid
from decimal import Decimal
from enum import Enum
from flask.json import JSONEncoder
from sqlalchemy import inspect
from Pegasus.service.base import ErrorResponse, OrderedDict, PagedResponse
log = logging.getLogger(__name__)
class PegasusJsonEncoder(JSONEncod... | {
"repo_name": "pegasus-isi/pegasus",
"path": "packages/pegasus-python/src/Pegasus/service/_encoder.py",
"copies": "1",
"size": "1941",
"license": "apache-2.0",
"hash": 2266907610315491300,
"line_mean": 25.2297297297,
"line_max": 88,
"alpha_frac": 0.5285935085,
"autogenerated": false,
"ratio": 4.2... |
__author__ = 'rakesh.varma'
from fabric.api import *
class jenkins_install:
mirror_site = 'https://fastdl.mongodb.org/linux'
mongo_install_file = 'mongodb-linux-x86_64-3.0.11'
def __init__(self, host_ip, host_user, host_key_file):
env.host_string = host_ip
env.user = host_user
env.... | {
"repo_name": "varmarakesh/devops-toolbox",
"path": "devops-toolbox/jenkins/install.py",
"copies": "1",
"size": "2840",
"license": "isc",
"hash": 6904013645625925000,
"line_mean": 36.8666666667,
"line_max": 205,
"alpha_frac": 0.5985915493,
"autogenerated": false,
"ratio": 3.2199546485260773,
"c... |
__author__ = 'rakesh.varma'
from fabric.api import *
class mongodb_install:
mirror_site = 'https://fastdl.mongodb.org/linux'
mongo_install_file = 'mongodb-linux-x86_64-3.0.11'
def __init__(self, host_ip, host_user, host_key_file):
env.host_string = host_ip
env.user = host_user
env.... | {
"repo_name": "varmarakesh/devops-toolbox",
"path": "devops-toolbox/mongodb/install.py",
"copies": "1",
"size": "1857",
"license": "isc",
"hash": -7762140431271003000,
"line_mean": 35.4117647059,
"line_max": 205,
"alpha_frac": 0.6020463113,
"autogenerated": false,
"ratio": 3.1581632653061225,
"... |
__author__ = 'rakesh.varma'
from fabric.api import *
class salt_master:
def __init__(self, host_ip, host_user, host_key_file):
env.host_string = host_ip
env.user = host_user
env.key_filename = host_key_file
def remote_command(self, cmd):
output = sudo(cmd)
return str(o... | {
"repo_name": "varmarakesh/devops-toolbox",
"path": "devops-toolbox/salt/salt_operations.py",
"copies": "1",
"size": "1532",
"license": "isc",
"hash": -8086359022361188000,
"line_mean": 28.4615384615,
"line_max": 141,
"alpha_frac": 0.5835509138,
"autogenerated": false,
"ratio": 3.3449781659388647... |
"""AUTHOR : RAKSHIT KAPOOR
INSTITUTION : NIT Jalandhar"""
import os
from flask import *
from werkzeug import secure_filename
import csv
from py2neo import *
import time
from nltk.tokenize import word_tokenize
from nltk.corpus import stopwords
ALLOWED_EXTENSIONS = set(['csv'])
app=Flask(__name__... | {
"repo_name": "kapoor-rakshit/py2neo",
"path": "pyfile.py",
"copies": "1",
"size": "16622",
"license": "mit",
"hash": -2047593626537535200,
"line_mean": 40.6205128205,
"line_max": 314,
"alpha_frac": 0.6641198412,
"autogenerated": false,
"ratio": 2.7786693413574057,
"config_test": false,
"has_... |
__author__ = 'ralf'
import urllib.request
import json
import xml.etree.ElementTree as ET
import csv
def raw_stats(name, month):
url = "http://stats.grok.se/json/en/%s/%s" % (month, name)
f = urllib.request.urlopen(url)
data = json.loads(f.read().decode('utf-8'))
return data
def stats(name):
tota... | {
"repo_name": "rkistner/mars",
"path": "mars-lists/mars/wikipedia.py",
"copies": "1",
"size": "4383",
"license": "mit",
"hash": -7758394968903055000,
"line_mean": 29.2275862069,
"line_max": 241,
"alpha_frac": 0.6002737851,
"autogenerated": false,
"ratio": 3.6525,
"config_test": false,
"has_no... |
__author__ = 'Ralph'
from ui.app import Application
if __name__ == '__main__':
from ui.app import Example
import wx
app = wx.App()
Example(None, title='Example')
app.MainLoop()
# application = Application()
# application.run()
# node1 = ImportARFF()
# node2 = SelectAttributes()... | {
"repo_name": "rbrecheisen/pyminer",
"path": "pyminer/pyminer.py",
"copies": "1",
"size": "1957",
"license": "apache-2.0",
"hash": -5486414050012196000,
"line_mean": 33.350877193,
"line_max": 112,
"alpha_frac": 0.5988758304,
"autogenerated": false,
"ratio": 3.2725752508361206,
"config_test": tr... |
__author__ = 'Ralph'
import os
import numpy as np
import pandas as pd
from sklearn.svm import SVC
from sklearn.grid_search import GridSearchCV
from sklearn.cross_validation import StratifiedKFold
from sklearn.externals import joblib
from sklearn.metrics import accuracy_score
from sklearn.metrics import precision_sco... | {
"repo_name": "rbrecheisen/pyminer",
"path": "pyminer/network/classifiers.py",
"copies": "1",
"size": "9893",
"license": "apache-2.0",
"hash": 7992280162155357000,
"line_mean": 31.98,
"line_max": 80,
"alpha_frac": 0.560092995,
"autogenerated": false,
"ratio": 4.113513513513514,
"config_test": t... |
__author__ = 'Ralph'
import pandas as pd
from arff_utils import ARFF
from base import Node
from base import OutputPort
class Importer(Node):
def __init__(self, name):
super(Importer, self).__init__(name)
class ImportARFF(Importer):
def __init__(self):
super(ImportARFF, self).__init__(... | {
"repo_name": "rbrecheisen/pyminer",
"path": "pyminer/network/importers.py",
"copies": "1",
"size": "1276",
"license": "apache-2.0",
"hash": 3153480320470007000,
"line_mean": 21.8035714286,
"line_max": 79,
"alpha_frac": 0.6175548589,
"autogenerated": false,
"ratio": 3.5444444444444443,
"config_... |
__author__ = 'Ralph'
import pandas as pd
from base import Node
from base import InputPort
from base import OutputPort
class Selector(Node):
def __init__(self, name):
super(Selector, self).__init__(name)
self.add_input_port(
InputPort(name='input', data_type=pd.DataFrame))
s... | {
"repo_name": "rbrecheisen/pyminer",
"path": "pyminer/network/selectors.py",
"copies": "1",
"size": "3162",
"license": "apache-2.0",
"hash": 8417351623478921000,
"line_mean": 32.2947368421,
"line_max": 79,
"alpha_frac": 0.5926628716,
"autogenerated": false,
"ratio": 4.307901907356948,
"config_t... |
__author__ = 'Ralph'
import wx
import network.base
class Canvas(wx.Panel):
def __init__(self, parent, widgets):
super(Canvas, self).__init__(parent)
self._widgets = widgets
self._nodes = []
self._connections = []
self.Bind(wx.EVT_PAINT, self._render)
self.Bind(w... | {
"repo_name": "rbrecheisen/pyminer",
"path": "pyminer/ui/canvas.py",
"copies": "1",
"size": "11179",
"license": "apache-2.0",
"hash": -2818939045646596600,
"line_mean": 27.2323232323,
"line_max": 128,
"alpha_frac": 0.5625726809,
"autogenerated": false,
"ratio": 3.9669978708303764,
"config_test"... |
__author__ = 'Ralph'
import wx
from canvas import Canvas
from network.importers import ImportCSV
from network.importers import ImportARFF
from network.selectors import SelectAttributes
from network.classifiers import SupportVectorMachine
from widgets import ImportCSVWidget
from widgets import ImportARFFWidget
from ... | {
"repo_name": "rbrecheisen/pyminer",
"path": "pyminer/ui/app.py",
"copies": "1",
"size": "2599",
"license": "apache-2.0",
"hash": -4919914787060418000,
"line_mean": 25,
"line_max": 78,
"alpha_frac": 0.6225471335,
"autogenerated": false,
"ratio": 3.9259818731117826,
"config_test": false,
"has_... |
__author__ = 'Ralph'
import wx
from network.importers import ImportCSV
from network.importers import ImportARFF
from network.selectors import SelectAttributes
from network.classifiers import ApplyModel
from network.classifiers import SupportVectorMachine
class Widget(wx.Dialog):
def __init__(self, node, name):... | {
"repo_name": "rbrecheisen/pyminer",
"path": "pyminer/ui/widgets.py",
"copies": "1",
"size": "3343",
"license": "apache-2.0",
"hash": 4623848971005516000,
"line_mean": 24.1428571429,
"line_max": 86,
"alpha_frac": 0.646724499,
"autogenerated": false,
"ratio": 4.052121212121212,
"config_test": fa... |
__author__ = 'Ramakrishna'
# Libraries intialization
import urllib
import re
from collections import Counter
#Variable declarations
pronoun = ['ich','du','er','wir','ihr','sie','Sie']
tense = ['present','perfect','past','pluperfect','future']
all_tenses = dict()
base_word="kommen"
list_div=3
j=0
#Ex... | {
"repo_name": "Nithanaroy/SemanticMachineTranslation",
"path": "py-stemmer/newws.py",
"copies": "1",
"size": "1283",
"license": "mit",
"hash": 2291053272944875800,
"line_mean": 24.7708333333,
"line_max": 65,
"alpha_frac": 0.6812159002,
"autogenerated": false,
"ratio": 2.9906759906759905,
"confi... |
__author__ = 'rama'
from tokenizer.ptbtokenizer import PTBTokenizer
from cider.cider import Cider
from ciderD.ciderD import CiderD
class CIDErEvalCap:
def __init__(self, gts, res, df):
print 'tokenization...'
tokenizer = PTBTokenizer('gts')
_gts = tokenizer.tokenize(gts)
print 'tok... | {
"repo_name": "ramakrishnavedantam928/cider",
"path": "pyciderevalcap/eval.py",
"copies": "2",
"size": "1306",
"license": "bsd-2-clause",
"hash": 5663912864316530000,
"line_mean": 31.65,
"line_max": 72,
"alpha_frac": 0.4670750383,
"autogenerated": false,
"ratio": 4.146031746031746,
"config_test... |
__author__ = 'ramapriyasridharan'
__author__ = 'ramapriyasridharan'
import matplotlib.pyplot as plt
import numpy as np
import argparse
import pandas as pd
import scipy as sp
import scipy.stats, math
import sys
import os
import ConfigParser
WARMUP_SECS = 0
COOLDOWN_SECS = 20
def mean_confidence_interval(data, con... | {
"repo_name": "GHrama/ameowsmeowl-2015",
"path": "plotting scripts/plot_many_clients_resp.py",
"copies": "1",
"size": "2687",
"license": "mit",
"hash": -5950582858422779000,
"line_mean": 26.9895833333,
"line_max": 94,
"alpha_frac": 0.5883885374,
"autogenerated": false,
"ratio": 2.914316702819957,... |
__author__ = 'ramapriyasridharan'
import matplotlib.pyplot as plt
import numpy as np
import argparse
import pandas as pd
import scipy as sp
import scipy.stats, math
import sys
import os
import ConfigParser
WARMUP_SECS = 0
COOLDOWN_SECS = 20
def mean_confidence_interval(data, confidence=0.95):
# a = 1.0*np.ar... | {
"repo_name": "GHrama/ameowsmeowl-2015",
"path": "plotting scripts/plot_many_clients.py",
"copies": "1",
"size": "2647",
"license": "mit",
"hash": 2522793456097354000,
"line_mean": 26.8631578947,
"line_max": 109,
"alpha_frac": 0.5802795618,
"autogenerated": false,
"ratio": 2.880304678998912,
"c... |
__author__ = 'ramapriyasridharan'
import os, pprint
import paramiko
from fabric.api import *
import time
import argparse
import ConfigParser
def rsridhar_install_remote_stuff(user_name, hostname, path_to_key=None):
env.user = user_name
if path_to_key:
env.key_filename = path_to_key
print user_name
print path_t... | {
"repo_name": "GHrama/ameowsmeowl-2015",
"path": "SystemsLabFinal/DeployScriptsAndOtherRelevantFiles/general.py",
"copies": "1",
"size": "1783",
"license": "mit",
"hash": 1955422891048227600,
"line_mean": 23.7777777778,
"line_max": 95,
"alpha_frac": 0.7100392597,
"autogenerated": false,
"ratio": ... |
__author__ = 'ramapriyasridharan'
import os, pprint
import paramiko
from fabric.api import *
import time
import argparse
import ConfigParser
#for ec2 and dryad
def rsridhar_install_db_remote(user_name, db_port, hostname, sql_script_path, pg_hba_conf_path, rsridhar_conf_path,
rsridhar_db_path, amazon_machine, p... | {
"repo_name": "GHrama/ameowsmeowl-2015",
"path": "SystemsLabFinal/DeployScriptsAndOtherRelevantFiles/postgres_magic.py",
"copies": "1",
"size": "2308",
"license": "mit",
"hash": -5845722207177127000,
"line_mean": 29.3684210526,
"line_max": 115,
"alpha_frac": 0.6850086655,
"autogenerated": false,
... |
__author__ = 'ramapriyasridharan'
import matplotlib.pyplot as plt
import numpy as np
import argparse
import pandas as pd
import scipy as sp
import scipy.stats, math
import sys
import os
import ConfigParser
import csv
warm_up = 100
cool_down = 100
def refine(df):
start_time = np.min(df['timestamp'])
#print s... | {
"repo_name": "GHrama/ameowsmeowl-2015",
"path": "plotting scripts/plot_middleware_throughput.py",
"copies": "1",
"size": "3361",
"license": "mit",
"hash": 1784956261968018400,
"line_mean": 32.2871287129,
"line_max": 164,
"alpha_frac": 0.6054745611,
"autogenerated": false,
"ratio": 2.678087649402... |
__author__ = 'ramapriyasridharan'
import matplotlib.pyplot as plt
import numpy as np
import argparse
import pandas as pd
import scipy as sp
import scipy.stats, math
import sys
import os
import ConfigParser
WARMUP_SECS = 20
COOLDOWN_SECS = 70
def mean_confidence_interval(data, confidence=0.95):
# a = 1.0*np... | {
"repo_name": "GHrama/ameowsmeowl-2015",
"path": "plotting scripts/many_throughput.py",
"copies": "1",
"size": "3250",
"license": "mit",
"hash": -2128466067888159700,
"line_mean": 27.5175438596,
"line_max": 105,
"alpha_frac": 0.5584615385,
"autogenerated": false,
"ratio": 2.943840579710145,
"co... |
__author__ = 'Ramki Subramanian'
DEBUG = False # Flag to set debug level. (print statements on/off)
import re
import json
from bs4 import BeautifulSoup
from lxml import html # unused
from urllib2 import (URLError, HTTPError)
import requests
from requests.exceptions import SSLError
import time
from multiprocessing.poo... | {
"repo_name": "rsubra13/atlasproj",
"path": "messageDecode.py",
"copies": "1",
"size": "5170",
"license": "apache-2.0",
"hash": 2091627387454009000,
"line_mean": 40.7016129032,
"line_max": 129,
"alpha_frac": 0.53655706,
"autogenerated": false,
"ratio": 4.042220484753714,
"config_test": false,
... |
__author__ = 'ramr'
import os
import sys
sys.path.append("/usr/lib/python2.7/dist-packages")
sys.path.append("/home/ramr/Desktop/Googleappengine2/google_appengine/")
sys.path.append("/home/ramr/Desktop/Googleappengine2/google_appengine/lib/")
import sys
print sys.path
from google.appengine.ext import db
import jinja2
... | {
"repo_name": "rama-bornfree/ShoppingCartDemo",
"path": "main.py",
"copies": "1",
"size": "3825",
"license": "mit",
"hash": 5002614810214029000,
"line_mean": 33.1517857143,
"line_max": 148,
"alpha_frac": 0.7236601307,
"autogenerated": false,
"ratio": 3.775913129318855,
"config_test": false,
"... |
__author__ = 'ramr'
import os
import sys
#sys.path.append("/usr/lib/python2.7/dist-packages")
#sys.path.append('/home/ramr/Desktop/google_appengine/lib/jinja2')
#sys.path.append("/home/ramr/Desktop/google_appengine/lib/webapp2")
import jinja2
import webapp2
from google.appengine.ext import db
'''template_dir variable ... | {
"repo_name": "rama-bornfree/ShoppingCartDemo",
"path": "main_3.py",
"copies": "1",
"size": "4345",
"license": "mit",
"hash": -7112000363207988000,
"line_mean": 33.76,
"line_max": 124,
"alpha_frac": 0.7261219793,
"autogenerated": false,
"ratio": 3.7782608695652176,
"config_test": false,
"has_... |
__author__ = 'ramr'
import os
import sys
sys.path.append("/usr/lib/python2.7/dist-packages")
sys.path.append("/home/ramr/Desktop/google_appengine/lib/webapp2")
import jinja2
import webapp2
from google.appengine.ext import db
'''template_dir variable is current dirname joined with folder name templates'''
template_dir ... | {
"repo_name": "rama-bornfree/ShoppingCartDemo",
"path": "main_2.py",
"copies": "1",
"size": "3180",
"license": "mit",
"hash": 8405522159001264000,
"line_mean": 33.5652173913,
"line_max": 148,
"alpha_frac": 0.715408805,
"autogenerated": false,
"ratio": 3.7544273907910273,
"config_test": false,
... |
__author__ = 'ramr'
import random
from urllib import urlopen
import sys
WORD_URL = "http://learncodethehardway.org/words.txt"
WORDS = []
PHRASES = {
"class ###(###):":
"Make a class named ###",
"class ###(object):\n\tdef __init__(self, ***)" :
"class ###",
"class ###(object):\n\tdef ***(self, @@@)... | {
"repo_name": "rama-bornfree/ShoppingCartDemo",
"path": "test1.py",
"copies": "1",
"size": "2133",
"license": "mit",
"hash": -4512186776809916400,
"line_mean": 25.0243902439,
"line_max": 72,
"alpha_frac": 0.554617909,
"autogenerated": false,
"ratio": 3.5788590604026846,
"config_test": false,
... |
__author__ = 'ramr'
import sys
sys.path.append("/usr/lib/python2.7/dist-packages")
import random
import os
import jinja2
import webapp2
from google.appengine.ext import db
import logging
template_dir = os.path.join(os.path.dirname(__file__), 'templates')
'''template_dir variable is current dirname joined with folder... | {
"repo_name": "rama-bornfree/ShoppingCartDemo",
"path": "main_5.py",
"copies": "1",
"size": "9696",
"license": "mit",
"hash": -8878520274679988000,
"line_mean": 41.9026548673,
"line_max": 117,
"alpha_frac": 0.6018976898,
"autogenerated": false,
"ratio": 4.096324461343473,
"config_test": false,
... |
__author__ = 'RanadeepPolavarapu'
import random
import string
import time
import datetime
import calendar
import re
import pytz
class Utils:
"""
Created for personal use withn a few web projects.
Created for use under Python 3+.
"""
# Follows ISO 3166-2, http://en.wikipedia.org/wiki/ISO_3166-2... | {
"repo_name": "RanadeepPolavarapu/PythonUtils",
"path": "utils.py",
"copies": "1",
"size": "23668",
"license": "mit",
"hash": 2716660462156710000,
"line_mean": 31.1044776119,
"line_max": 120,
"alpha_frac": 0.482481721,
"autogenerated": false,
"ratio": 3.308305369127517,
"config_test": false,
... |
__author__ = 'Ran Geva'
import re,json
from dateutil.parser import parse
#try except for different urllib under python3 and python2
try:
import urllib.request as urllib
except ImportError:
import urllib2 as urllib
try:
from bs4 import BeautifulSoup
except ImportError:
from BeautifulSoup import Beaut... | {
"repo_name": "Webhose/article-date-extractor",
"path": "articleDateExtractor/__init__.py",
"copies": "1",
"size": "7542",
"license": "mit",
"hash": -5574440099524319000,
"line_mean": 28.9325396825,
"line_max": 176,
"alpha_frac": 0.5893662159,
"autogenerated": false,
"ratio": 3.7226061204343535,
... |
__author__ = 'ranveer'
from django import forms
from django.contrib.auth.models import User
from authentication.models import UserProfile
class UserForm(forms.ModelForm):
username = forms.CharField(
widget=forms.TextInput(
attrs={
'class': 'form-control',
'id': ... | {
"repo_name": "Sumith1896/talenge",
"path": "talenge-project/authentication/forms.py",
"copies": "2",
"size": "2225",
"license": "mit",
"hash": 8258997560395620000,
"line_mean": 22.4315789474,
"line_max": 52,
"alpha_frac": 0.4602247191,
"autogenerated": false,
"ratio": 4.597107438016529,
"confi... |
product_name = 'SCR200E'
product_note = 'units that failed oven proofing because of large changes in grids'
product_date = '01/11/2014'
###################################################################################
###################################################################################
##############... | {
"repo_name": "MrBurnt/Small-Tools",
"path": "FailureScript.py",
"copies": "1",
"size": "10402",
"license": "bsd-2-clause",
"hash": -7080748043621587000,
"line_mean": 36.15,
"line_max": 590,
"alpha_frac": 0.5569121323,
"autogenerated": false,
"ratio": 3.482423836625377,
"config_test": false,
... |
__author__ = 'rastko'
import bs4
import json
from bson import json_util
class MovieBase(object):
def __init__(self, html_soup):
"""Movie class which parses html BeautifulSoup object and extracts information about the movie"""
self.data = {}
assert isinstance(html_soup, bs4.BeautifulSoup)... | {
"repo_name": "skozilla/BoxOfficeMojo",
"path": "boxofficemojoAPI/base.py",
"copies": "1",
"size": "1531",
"license": "mit",
"hash": 7007124100905116000,
"line_mean": 31.5957446809,
"line_max": 105,
"alpha_frac": 0.5950359242,
"autogenerated": false,
"ratio": 3.645238095238095,
"config_test": f... |
__author__ = 'rastko'
import bs4
import re
import json
from bson import json_util
from . import utils
from base import MovieBase
class Movie(MovieBase):
def __init__(self, html_soup):
"""Movie class which parses html BeautifulSoup object and extracts information about the movie"""
MovieBase.__i... | {
"repo_name": "skozilla/BoxOfficeMojo",
"path": "boxofficemojoAPI/movie.py",
"copies": "1",
"size": "6511",
"license": "mit",
"hash": -6595385571304133000,
"line_mean": 38.9447852761,
"line_max": 146,
"alpha_frac": 0.504530794,
"autogenerated": false,
"ratio": 4.2723097112860895,
"config_test":... |
__author__ = 'rastko'
import bs4
import re
import requests
import movie
import utils
class BoxOfficeMojo(object):
"""API client object for interacting with BoxOfficeMojo website"""
BOMURL = "http://www.boxofficemojo.com/movies"
def __init__(self):
self.letters = ['NUM']
self.movie_urls ... | {
"repo_name": "skozilla/BoxOfficeMojo",
"path": "boxofficemojoAPI/boxofficemojo.py",
"copies": "1",
"size": "4433",
"license": "mit",
"hash": -4010473367322856000,
"line_mean": 35.0406504065,
"line_max": 75,
"alpha_frac": 0.5201894879,
"autogenerated": false,
"ratio": 3.782423208191126,
"config... |
__author__ = 'rastko'
import decorator
import requests.exceptions
import time
import re
import inflection
import bs4
from datetime import datetime
@decorator.decorator
def na_or_empty(func, *args):
"""Decorator for handling conversion of the Movie.Data member"""
data = args[0]
key = args[1]
try:
... | {
"repo_name": "skozilla/BoxOfficeMojo",
"path": "boxofficemojoAPI/utils.py",
"copies": "1",
"size": "3238",
"license": "mit",
"hash": 2687825459998269400,
"line_mean": 26.218487395,
"line_max": 98,
"alpha_frac": 0.5602223595,
"autogenerated": false,
"ratio": 3.4594017094017095,
"config_test": f... |
__author__ = 'rast'
from math import *
def signFunction(x):
if x == 0:
return 0
return copysign(1,x)
eps = 10**-6
class Pt(object):
def __init__(self, x, y):
self.x = float(x)
self.y = float(y)
def __lt__(self, other):
return self.x < other.x - eps or abs(self.x-other.... | {
"repo_name": "Rast1234/graphics",
"path": "intersect.py",
"copies": "1",
"size": "3489",
"license": "mit",
"hash": 824988602850431400,
"line_mean": 28.3193277311,
"line_max": 106,
"alpha_frac": 0.4465462883,
"autogenerated": false,
"ratio": 2.834281072298944,
"config_test": false,
"has_no_ke... |
__author__ = 'rast'
from PySide.QtGui import qRgb
class Queue(object):
"""
Drawing queue
"""
def __init__(self):
"""
Initialize queue with segments
"""
self.data = []
self.pos = 0
self.force = False
self.baseColor = qRgb(0, 0, 0)
self.up... | {
"repo_name": "Rast1234/graphics",
"path": "GlobalQueue.py",
"copies": "1",
"size": "1602",
"license": "mit",
"hash": 1082693503972944400,
"line_mean": 26.6206896552,
"line_max": 112,
"alpha_frac": 0.4781523096,
"autogenerated": false,
"ratio": 3.063097514340344,
"config_test": false,
"has_no... |
__author__ = 'rast'
class Node(object):
def __init__(self, data=None, prev=None, next=None):
if (prev and not isinstance(prev, Node)) or \
(next and not isinstance(next, Node)):
raise ValueError("Invalid parameters")
self.data = data
self.prev = prev
sel... | {
"repo_name": "Rast1234/graphics",
"path": "LinkedList.py",
"copies": "1",
"size": "3179",
"license": "mit",
"hash": -3596584196704900000,
"line_mean": 27.9,
"line_max": 109,
"alpha_frac": 0.5401069519,
"autogenerated": false,
"ratio": 4.133940182054617,
"config_test": false,
"has_no_keywords... |
__author__ = 'Ratchasak Ranron <ratchasak.ranron@gmail.com>'
from google.appengine.ext import ndb
from flask import Flask
app = Flask(__name__)
class RMS(ndb.Model):
timestamp = ndb.IntegerProperty(required=True)
pu1 = ndb.IntegerProperty(required=True)
pu2 = ndb.IntegerProperty(required=True)
pu3 = n... | {
"repo_name": "ictes6-siit/power-monitor-cloud",
"path": "model.py",
"copies": "1",
"size": "3845",
"license": "apache-2.0",
"hash": 5376621928995118000,
"line_mean": 31.593220339,
"line_max": 60,
"alpha_frac": 0.6863459038,
"autogenerated": false,
"ratio": 3.5018214936247722,
"config_test": fa... |
__author__ = 'Ratchasak Ranron <ratchasak.ranron@gmail.com>'
from datetime import timedelta
from flask import make_response, request, current_app
from functools import update_wrapper
def crossdomain(origin=None, methods=None, headers=None,
max_age=21600, attach_to_all=True,
automatic_... | {
"repo_name": "ictes6-siit/power-monitor-cloud",
"path": "crossdomain.py",
"copies": "1",
"size": "1716",
"license": "apache-2.0",
"hash": -6439990425235656000,
"line_mean": 35.5319148936,
"line_max": 67,
"alpha_frac": 0.6072261072,
"autogenerated": false,
"ratio": 4.154963680387409,
"config_te... |
__author__ = 'ratnesh.mishra'
import aioredis as redis
class RedisManager:
def __init__(self, host, port):
self.host = host
self.port = port
self.conn = None
def _get_conn(self):
# This creates single connection while we can go for a connection pool
return (yield from... | {
"repo_name": "ratnesh-mishra/Mobmess",
"path": "mobmess/redis_manager.py",
"copies": "1",
"size": "1162",
"license": "mit",
"hash": -7371698987454385000,
"line_mean": 31.2777777778,
"line_max": 89,
"alpha_frac": 0.6024096386,
"autogenerated": false,
"ratio": 3.8223684210526314,
"config_test": ... |
__author__ = 'rauch'
#Login page
STR_LOGIN_GREETING = "Please log in below: "
STR_LOGIN_SUCCESS = "You're successfully logged in!"
STR_LOGIN_INACTIVE = "Your account is not active, please contact the site admin."
STR_LOGIN_WRONG_CREDENTIAL = "Your name and/or password were incorrect."
#Errors messages
STR_SHELL_EXCE... | {
"repo_name": "rauch/PyPBS",
"path": "pytorque/strings.py",
"copies": "1",
"size": "2272",
"license": "mit",
"hash": -931669083232425900,
"line_mean": 36.8666666667,
"line_max": 83,
"alpha_frac": 0.7337147887,
"autogenerated": false,
"ratio": 2.59954233409611,
"config_test": false,
"has_no_ke... |
__author__ = 'Raul Peralta-Lozada'
__email__ = 'raulpl25@gmail.com'
import argparse
from qt_gui.plugin import Plugin
from .map_widget import MapTopoWidget
class MapTopo(Plugin):
"""
Subclass of Plugin to save semantic locations on a grid map.
"""
def __init__(self, context):
super(MapTopo, s... | {
"repo_name": "RaulPL/rqt_map_topo",
"path": "src/rqt_map_topo/map_topo.py",
"copies": "1",
"size": "1871",
"license": "bsd-3-clause",
"hash": -4269814593838316500,
"line_mean": 31.8421052632,
"line_max": 105,
"alpha_frac": 0.6349545697,
"autogenerated": false,
"ratio": 4.041036717062635,
"conf... |
__author__ = 'Raul Peralta-Lozada'
__email__ = 'raulpl25@gmail.com'
"""
This rqt_plugin was mostly based on the rqt_bag and rqt_nav_view plugins.
"""
import os
import yaml
import rospy
import rospkg
import numpy
from math import radians, degrees, cos, sin
from nav_msgs.msg import OccupancyGrid
from tf.transformat... | {
"repo_name": "RaulPL/rqt_map_topo",
"path": "src/rqt_map_topo/map_widget.py",
"copies": "1",
"size": "15653",
"license": "bsd-3-clause",
"hash": -6319907739220573000,
"line_mean": 46.7225609756,
"line_max": 113,
"alpha_frac": 0.5682616751,
"autogenerated": false,
"ratio": 3.4730419347681383,
"... |
__author__ = 'ray'
import re
import sys
import fileinput
import operator
label_index = {'unknown':'0', 'speech':'1', 'clapping':'2', 'stepping':'3', 'flipping':'4'}
index_number = {'0':0, '1':1, '2':2, '3':3, '4':4}
number_index = {0:'0', 1:'1', 2:'2', 3:'3', 4:'4'}
def process_text_file(in_file_name, out_file_name)... | {
"repo_name": "raybrshen/pattern_recognition",
"path": "noise_detection/tools/format_libsvm_data.py",
"copies": "1",
"size": "2955",
"license": "apache-2.0",
"hash": 2897063442105437000,
"line_mean": 28.8484848485,
"line_max": 121,
"alpha_frac": 0.5824027073,
"autogenerated": false,
"ratio": 3.08... |
__author__ = 'ray'
import wave
import random
import os
import numpy as np
root_path = 'asr/'
wav_scp_file = root_path+'wav.scp'
text_file = root_path+'text'
noise_types = ['clap', 'cough']
noise_tag_list = ['<NOISE>', '<SPOKEN_NOISE>']
def add_sound(in_file, sound_file, out_file, is_prefix):
wav_in = wave.ope... | {
"repo_name": "raybrshen/pattern_recognition",
"path": "noise_detection/tools/insert_noise.py",
"copies": "1",
"size": "4392",
"license": "apache-2.0",
"hash": -4148121689725298000,
"line_mean": 35.2975206612,
"line_max": 89,
"alpha_frac": 0.5457650273,
"autogenerated": false,
"ratio": 3.38106235... |
__author__ = 'ray'
import matplotlib.pyplot as plt
import numpy as np
import wave
import sys
import os
label_color = {0:'g', 1:'b', 2:'r', 3:'y',4:'c',5:'m'}
audio_path = 'frame_based-clap_cough_speech_env/audios/test/clap_speech_04.wav'
result_path = 'frame_based-clap_cough_speech_env/result_files/clap_speech_04.la... | {
"repo_name": "raybrshen/pattern_recognition",
"path": "noise_detection/tools/plot_wave.py",
"copies": "1",
"size": "3836",
"license": "apache-2.0",
"hash": 9071282240428720000,
"line_mean": 33.5585585586,
"line_max": 142,
"alpha_frac": 0.6024504692,
"autogenerated": false,
"ratio": 2.99921813917... |
__author__ = 'ray'
import re
import sys
import fileinput
import operator
label_index = {'env':'0', 'speech':'1', 'clap':'2', 'cough':'3', 'laugh':'4', 'sneeze':'5'}
index_number = {'0':0, '1':1, '2':2, '3':3, '4':4, '5':5}
number_index = {0:'0', 1:'1', 2:'2', 3:'3', 4:'4', 5:'5'}
def label_sound(in_file_name, out_... | {
"repo_name": "raybrshen/pattern_recognition",
"path": "noise_detection/tools/label_sound_features.py",
"copies": "1",
"size": "1470",
"license": "apache-2.0",
"hash": 6368207121702371000,
"line_mean": 26.7358490566,
"line_max": 91,
"alpha_frac": 0.5680272109,
"autogenerated": false,
"ratio": 2.9... |
__author__ = 'razi'
from ftcl.classes import *
n0 = Node("0")
def nestn(n, st, pr):
bl = Block()
while True:
if n.nexts() == 0:
prn = pr + n.name
print(prn)
bl.add(Instruction(n))
break
if n.nexts() == 1:
prn = pr + n.name
... | {
"repo_name": "Razi91/ftcl",
"path": "ftcl/parser.py",
"copies": "1",
"size": "1442",
"license": "mit",
"hash": 5517907108780663000,
"line_mean": 19.2957746479,
"line_max": 57,
"alpha_frac": 0.3858431645,
"autogenerated": false,
"ratio": 3.4806763285024154,
"config_test": false,
"has_no_keywo... |
__author__ = 'razi'
class Node:
def __init__(self, name):
self.nin = []
self.nout = []
self.back = set()
self.forward = set()
self.name = name
def nexts(self):
return len(self.nout)
def hasNext(self):
return len(self.nout) > 0
def getNext(self... | {
"repo_name": "Razi91/ftcl",
"path": "ftcl/classes.py",
"copies": "1",
"size": "3885",
"license": "mit",
"hash": -1397793469826720000,
"line_mean": 20,
"line_max": 61,
"alpha_frac": 0.4831402831,
"autogenerated": false,
"ratio": 3.630841121495327,
"config_test": false,
"has_no_keywords": fals... |
__author__ = 'rbshaffer'
import os
import re
import csv
import codecs
import parser
import _file_utils as utils
class Tabulator:
def __init__(self, working_directory):
"""
Wrapper class, which provides an easy interface to manage paths and outputs created by Segmenter.
:param working_dir... | {
"repo_name": "rbshaffer/constitute_tools",
"path": "constitute_tools/wrappers.py",
"copies": "1",
"size": "4138",
"license": "mit",
"hash": -2722290296052370000,
"line_mean": 39.568627451,
"line_max": 119,
"alpha_frac": 0.610439826,
"autogenerated": false,
"ratio": 3.885446009389671,
"config_t... |
__author__ = "R B Wilkinson"
__date__ = "29/02/12"
__copyright__ = "(C) 2012 Science and Technology Facilities Council"
__license__ = "BSD - see LICENSE file in top-level directory"
__contact__ = "Philip.Kershaw@stfc.ac.uk"
__revision__ = "$Id$"
try:
from setuptools import setup, find_packages
except ImportError:
... | {
"repo_name": "cedadev/ndg_oauth",
"path": "ndg_oauth_server/setup.py",
"copies": "1",
"size": "3032",
"license": "bsd-3-clause",
"hash": -4547218312509105000,
"line_mean": 33.8505747126,
"line_max": 80,
"alpha_frac": 0.5451846966,
"autogenerated": false,
"ratio": 3.8331226295828067,
"config_te... |
__author__ = 'rcj1492'
__created__ = '2015.07'
__license__ = 'MIT'
'''
PLEASE NOTE: ec2 package requires the boto3 module.
(all platforms) pip3 install boto3
'''
try:
import boto3
except:
import sys
print('ec2 package requires the boto3 module. try: pip3 install boto3')
sys.exit(1)
from labpack.a... | {
"repo_name": "collectiveacuity/labPack",
"path": "labpack/platforms/aws/ec2.py",
"copies": "1",
"size": "78047",
"license": "mit",
"hash": -3343083206299357000,
"line_mean": 35.7452919021,
"line_max": 191,
"alpha_frac": 0.5365100516,
"autogenerated": false,
"ratio": 4.335221907459868,
"config_... |
__author__ = 'rcj1492'
__created__ = '2015.08'
__license__ = 'MIT'
'''
PLEASE NOTE: s3 package requires the boto3 module.
(all platforms) pip3 install boto3
'''
try:
import boto3
except:
import sys
print('s3 package requires the boto3 module. try: pip3 install boto3')
sys.exit(1)
# TODO: bucket a... | {
"repo_name": "collectiveacuity/labPack",
"path": "labpack/storage/aws/s3.py",
"copies": "1",
"size": "87562",
"license": "mit",
"hash": 4255809912010330000,
"line_mean": 40.5182550972,
"line_max": 322,
"alpha_frac": 0.537344967,
"autogenerated": false,
"ratio": 4.678706919583222,
"config_test"... |
__author__ = 'rcj1492'
__created__ = '2015.10'
'''
PLEASE NOTE: iam package requires the boto3 module.
(all platforms) pip3 install boto3
'''
try:
import boto3
except:
import sys
print('iam package requires the boto3 module. try: pip3 install boto3')
sys.exit(1)
class AWSConnectionError(Exception... | {
"repo_name": "collectiveacuity/labPack",
"path": "labpack/authentication/aws/iam.py",
"copies": "1",
"size": "8913",
"license": "mit",
"hash": 3345727171006909000,
"line_mean": 32.8897338403,
"line_max": 94,
"alpha_frac": 0.5871199372,
"autogenerated": false,
"ratio": 4.388478581979321,
"confi... |
__author__ = 'rcj1492'
__created__ = '2016.03'
__license__ = 'MIT'
import pytest
from jsonmodel import __module__
from jsonmodel.loader import jsonLoader
class jsonLoaderTests(object):
def __init__(self):
pass
def unitTests(self):
# test invalid module exception
with pytest.raises(Excep... | {
"repo_name": "collectiveacuity/jsonModel",
"path": "tests/test_loader.py",
"copies": "1",
"size": "1117",
"license": "mit",
"hash": 7078142925951201000,
"line_mean": 26.95,
"line_max": 69,
"alpha_frac": 0.6284691137,
"autogenerated": false,
"ratio": 4.231060606060606,
"config_test": true,
"h... |
__author__ = 'rcj1492'
__created__ = '2016.04'
import os
import sys
sys.path.append(os.path.join(os.path.dirname(__file__), '..'))
from server.config import *
from server.resources import *
from flask import request, jsonify, url_for, render_template
@app.route('/')
def dashboard_page():
request_dict = {'headers... | {
"repo_name": "rj919/fishBase",
"path": "server/launch.py",
"copies": "1",
"size": "2279",
"license": "mit",
"hash": -7795576655403370000,
"line_mean": 33.0149253731,
"line_max": 73,
"alpha_frac": 0.6713470821,
"autogenerated": false,
"ratio": 3.527863777089783,
"config_test": false,
"has_no_... |
__author__ = 'rcj1492'
__created__ = '2016.04'
'''
a collection of constructors for resources available to interface
'''
import json
from jsonmodel.validators import jsonModel
class requestModel(object):
def __init__(self, json_model):
if not isinstance(json_model, jsonModel):
raise Type... | {
"repo_name": "rj919/fishBase",
"path": "server/resources.py",
"copies": "1",
"size": "1720",
"license": "mit",
"hash": 5473017724925878000,
"line_mean": 28.6551724138,
"line_max": 78,
"alpha_frac": 0.7023255814,
"autogenerated": false,
"ratio": 4.047058823529412,
"config_test": false,
"has_n... |
__author__ = 'rcj1492'
__created__ = '2017.03'
__license__ = 'MIT'
import csv
import json
data_model = {}
file_path = '../data/insights/POS Table 1.csv'
with open(file_path, 'rt') as csv_file:
csv_reader = csv.DictReader(csv_file)
for row in csv_reader:
for header in csv_reader.fieldnames:
... | {
"repo_name": "saaqibz/inbev-hackathon",
"path": "models/schematize.py",
"copies": "1",
"size": "1147",
"license": "mit",
"hash": 3440940486385677300,
"line_mean": 24.5111111111,
"line_max": 54,
"alpha_frac": 0.5265911072,
"autogenerated": false,
"ratio": 3.4444444444444446,
"config_test": fals... |
__author__ = 'rcj1492'
__created__ = '2017.05'
__license__ = 'MIT'
def load_ignore(vcs='git', type='service'):
''' a method to retrieve the module template vcs ignore text '''
# retrieve module path
from os import path
from pocketlab import __module__
from importlib.util import find_spec
modu... | {
"repo_name": "collectiveacuity/pocketLab",
"path": "pocketlab/methods/vcs.py",
"copies": "1",
"size": "4242",
"license": "mit",
"hash": -8275685364853200000,
"line_mean": 35.8869565217,
"line_max": 121,
"alpha_frac": 0.5601131542,
"autogenerated": false,
"ratio": 3.669550173010381,
"config_tes... |
__author__ = 'rcj1492'
__created__ = '2017.05'
__license__ = 'MIT'
'''
add .ignore file
add docker-compose.yaml file
add cred & data folders
copy cred files from notes to cred
add setup.py
add docs folder
add index.md to docs folder
add <module> folder
add __init__ to <module> folder
add .lab folders
add --heroku as a... | {
"repo_name": "collectiveacuity/pocketLab",
"path": "pocketlab/commands/init.py",
"copies": "1",
"size": "40130",
"license": "mit",
"hash": 5676993726964546000,
"line_mean": 41.0649895178,
"line_max": 728,
"alpha_frac": 0.5656117618,
"autogenerated": false,
"ratio": 4.0765948801300285,
"config_... |
__author__ = 'rcj1492'
__created__ = '2017.05'
__license__ = 'MIT'
'''
REFERENCES
https://docs.python.org/3.6/library/argparse.html#module-argparse
https://docs.python.org/3.5/library/argparse.html?highlight=argparse#module-argparse
'''
from pocketlab import __command__, __module__, __version__, __order__
from pocket... | {
"repo_name": "collectiveacuity/pocketLab",
"path": "pocketlab/parser.py",
"copies": "1",
"size": "3953",
"license": "mit",
"hash": -4045641998937879600,
"line_mean": 34.9363636364,
"line_max": 140,
"alpha_frac": 0.64963319,
"autogenerated": false,
"ratio": 4.273513513513514,
"config_test": fal... |
__author__ = 'rcj1492'
__created__ = '2017.06'
__licence__ = 'MIT'
def get_ip(source='aws'):
''' a method to get current public ip address of machine '''
if source == 'aws':
source_url = 'http://checkip.amazonaws.com/'
else:
raise Exception('get_ip currently only supports queries ... | {
"repo_name": "collectiveacuity/labPack",
"path": "labpack/records/ip.py",
"copies": "1",
"size": "5565",
"license": "mit",
"hash": 2711684130539984000,
"line_mean": 39.0431654676,
"line_max": 184,
"alpha_frac": 0.5778975741,
"autogenerated": false,
"ratio": 3.8970588235294117,
"config_test": f... |
__author__ = 'rcj1492'
__created__ = '2017.06'
__licence__ = 'MIT'
'''
put file to ec2 instance
TODO: put to other platforms (bluemix, azure, gcp)
'''
_put_details = {
'title': 'put',
'description': 'Copies a local file or folder to user home on remote host. Put is currently only available for the Amazon ec2 ... | {
"repo_name": "collectiveacuity/pocketLab",
"path": "pocketlab/commands/put.py",
"copies": "1",
"size": "3860",
"license": "mit",
"hash": -7344209190656821000,
"line_mean": 36.8529411765,
"line_max": 448,
"alpha_frac": 0.660880829,
"autogenerated": false,
"ratio": 3.9427987742594484,
"config_te... |
__author__ = 'rcj1492'
__created__ = '2017.06'
__license__ = 'MIT'
from pocketlab import __module__
def import_boto3(resource_name=''):
if not resource_name:
resource_name = __module__
try:
import boto3
except:
raise ImportError('Use of %s requires the boto3 module.\nTry: pip3 in... | {
"repo_name": "collectiveacuity/pocketLab",
"path": "pocketlab/methods/dependencies.py",
"copies": "1",
"size": "1408",
"license": "mit",
"hash": 5817329666146655000,
"line_mean": 26.0769230769,
"line_max": 140,
"alpha_frac": 0.5994318182,
"autogenerated": false,
"ratio": 3.8575342465753426,
"c... |
__author__ = 'rcj1492'
__created__ = '2017.06'
__license__ = 'MIT'
def inject_init(init_path, readme_path, setup_kwargs):
'''
a method to add arguments to setup.py from module init file
:param init_path: string with path to module __init__ file
:param readme_path: string with path to module READM... | {
"repo_name": "collectiveacuity/jsonModel",
"path": "utils.py",
"copies": "2",
"size": "2492",
"license": "mit",
"hash": 113648815419289620,
"line_mean": 30.5443037975,
"line_max": 80,
"alpha_frac": 0.5774478331,
"autogenerated": false,
"ratio": 3.724962630792227,
"config_test": false,
"has_n... |
__author__ = 'rcj1492'
__created__ = '2017.06'
__license__ = 'MIT'
def join_words(word_list, operator='and', quotes=False):
text = ''
for i in range(len(word_list)):
if text:
if i + 1 == len(word_list):
if operator == 'disjunction':
text += ' or '
... | {
"repo_name": "collectiveacuity/labPack",
"path": "labpack/parsing/grammar.py",
"copies": "1",
"size": "1644",
"license": "mit",
"hash": -8969017271985481000,
"line_mean": 30.0377358491,
"line_max": 82,
"alpha_frac": 0.5091240876,
"autogenerated": false,
"ratio": 4.11,
"config_test": false,
"... |
__author__ = 'rcj1492'
__created__ = '2017.07'
__license__ = 'MIT'
from labpack.storage.dropbox import dropboxClient
if __name__ == '__main__':
# initialize client
import pytest
from pprint import pprint
from labpack.records.settings import load_settings
dropbox_tokens = load_settings('../../cred... | {
"repo_name": "collectiveacuity/labPack",
"path": "tests/test_storage_dropbox.py",
"copies": "1",
"size": "2810",
"license": "mit",
"hash": -3678538761411577000,
"line_mean": 35.0384615385,
"line_max": 90,
"alpha_frac": 0.6839857651,
"autogenerated": false,
"ratio": 3.357228195937873,
"config_t... |
__author__ = 'rcj1492'
__created__ = '2017.07'
__license__ = 'MIT'
'''
PLEASE NOTE: drive package requires the google-api-python-client module.
(all platforms) pip3 install google-api-python-client
PLEASE NOTE: google drive is not designed to store files in the POSIX file hierarchy
as a result,... | {
"repo_name": "collectiveacuity/labPack",
"path": "labpack/storage/google/drive.py",
"copies": "1",
"size": "39851",
"license": "mit",
"hash": 3875891114524453400,
"line_mean": 36.3486410497,
"line_max": 134,
"alpha_frac": 0.5294722843,
"autogenerated": false,
"ratio": 4.529552170947943,
"confi... |
__author__ = 'rcj1492'
__created__ = '2017.07'
__license__ = 'MIT'
'''
PLEASE NOTE: sql package requires the SQLAlchemy module.
(all platforms) pip3 install SQLAlchemy
'''
try:
from sqlalchemy import create_engine
except:
import sys
print('sql package requires the SQLAlchemy module. try: pip3 install ... | {
"repo_name": "collectiveacuity/labPack",
"path": "labpack/databases/sql.py",
"copies": "1",
"size": "98772",
"license": "mit",
"hash": -2054609352378677500,
"line_mean": 41.6292619767,
"line_max": 211,
"alpha_frac": 0.520420767,
"autogenerated": false,
"ratio": 4.750709441585301,
"config_test"... |
__author__ = 'rcj1492'
__created__ = '2017.10'
__license__ = 'MIT'
# TODO: WIP
# TODO: generalize requests based response handler classes
class depositsHandler(object):
''' handles responses from capital one deposits api and usage data '''
_class_fields = {
'schema': {
'rate_limits': [
... | {
"repo_name": "collectiveacuity/labPack",
"path": "labpack/banking/capitalone.py",
"copies": "1",
"size": "31725",
"license": "mit",
"hash": -8326252989442888000,
"line_mean": 38.9559193955,
"line_max": 712,
"alpha_frac": 0.5541371158,
"autogenerated": false,
"ratio": 4.276759234294958,
"config... |
__author__ = 'rcj1492'
__created__ = '2017.11'
__license__ = '©2017 Collective Acuity'
# http://docs.aws.amazon.com/AWSJavaScriptSDK/latest/AWS/Polly.html#constructor-property
# http://boto3.readthedocs.io/en/latest/reference/services/polly.html
'''
PLEASE NOTE: polly package requires the boto3 module.
(all platf... | {
"repo_name": "collectiveacuity/labPack",
"path": "labpack/speech/aws/polly.py",
"copies": "1",
"size": "6302",
"license": "mit",
"hash": 1423413653153429200,
"line_mean": 35.2183908046,
"line_max": 123,
"alpha_frac": 0.6176797334,
"autogenerated": false,
"ratio": 3.930754834684966,
"config_tes... |
__author__ = 'rcj1492'
__created__ = '2017.12'
__license__ = 'MIT'
def walk_data(input_data):
''' a generator function for retrieving data in a nested dictionary
:param input_data: dictionary or list with nested data
:return: string with dot_path, object with value of endpoint
'''
def _walk_dict... | {
"repo_name": "collectiveacuity/labPack",
"path": "labpack/mapping/data.py",
"copies": "1",
"size": "7082",
"license": "mit",
"hash": 6393978079616667000,
"line_mean": 33.2173913043,
"line_max": 97,
"alpha_frac": 0.5446201638,
"autogenerated": false,
"ratio": 4.156103286384977,
"config_test": f... |
__author__ = 'rcj1492'
__created__ = '2017.12'
__license__ = 'MIT'
'''
alternatives:
https://developer.couchbase.com/documentation/server/4.5/sdk/python/start-using-sdk.html
http://pythonhosted.org/couchbase/index.html
curl http://localhost:4985
'''
from labpack import __module__
import requests
class syncGatewayCli... | {
"repo_name": "collectiveacuity/labPack",
"path": "labpack/databases/couchbase.py",
"copies": "1",
"size": "45998",
"license": "mit",
"hash": -6866382472449805000,
"line_mean": 35.946184739,
"line_max": 165,
"alpha_frac": 0.5392190965,
"autogenerated": false,
"ratio": 4.357521788556271,
"config... |
__author__ = 'rcj1492'
__created__ = '2018.02'
__license__ = 'MIT'
def compile_instances(service_list):
instance_list = []
# import dependencies
from pocketlab.methods.validation import validate_platform
from pocketlab import __module__
from jsonmodel.loader import jsonLoader
from jsonmod... | {
"repo_name": "collectiveacuity/pocketLab",
"path": "pocketlab/methods/heroku.py",
"copies": "1",
"size": "3503",
"license": "mit",
"hash": -8332141728045116000,
"line_mean": 38.8181818182,
"line_max": 102,
"alpha_frac": 0.5304025121,
"autogenerated": false,
"ratio": 4.0922897196261685,
"config... |
__author__ = 'rcj1492'
__created__ = '2018.05'
__license__ = 'MIT'
def extract_domains(certbot_text):
domain_list = []
import re
from labpack.records.time import labDT
cert_pattern = re.compile('(\s\sCertificate Name:\s)(.*?)(\n\s+Domains:\s)(.*?)(\n\s+Expiry Date:\s)(.*?)(\s\()', re.S)
c... | {
"repo_name": "collectiveacuity/pocketLab",
"path": "pocketlab/methods/certbot.py",
"copies": "1",
"size": "1398",
"license": "mit",
"hash": 8818015865933865000,
"line_mean": 42.6875,
"line_max": 365,
"alpha_frac": 0.6316165951,
"autogenerated": false,
"ratio": 3.1700680272108843,
"config_test"... |
__author__ = 'rcj1492'
__created__ = '2020.05'
__license__ = '©2020 Collective Acuity'
'''
PLEASE NOTE: datastore package requires the google cloud datastore module.
(all platforms) pip3 install google-cloud-datastore
'''
try:
from google.cloud import datastore
except:
import sys
print('datastore pac... | {
"repo_name": "collectiveacuity/labPack",
"path": "labpack/databases/google/datastore.py",
"copies": "1",
"size": "37805",
"license": "mit",
"hash": -6642270832653031000,
"line_mean": 38.0537190083,
"line_max": 199,
"alpha_frac": 0.5157390752,
"autogenerated": false,
"ratio": 4.791988845227532,
... |
__author__ = 'rcj1492'
__created__ = '2020.05'
__license__ = '©2020 Collective Acuity'
'''
PLEASE NOTE: rds package requires the boto3 module.
(all platforms) pip3 install boto3
'''
try:
import boto3
except:
import sys
print('rds package requires the boto3 module. try: pip3 install boto3')
sys.exi... | {
"repo_name": "collectiveacuity/labPack",
"path": "labpack/platforms/aws/rds.py",
"copies": "1",
"size": "7965",
"license": "mit",
"hash": 1525921631409261300,
"line_mean": 34.8738738739,
"line_max": 118,
"alpha_frac": 0.5760924159,
"autogenerated": false,
"ratio": 4.067415730337078,
"config_te... |
__author__ = 'rcj1492'
__created__ = '2020.06'
__license__ = '©2020 Collective Acuity'
import pytest
from copy import deepcopy
from labpack.databases.sql import SQLSession, SQLTable
if __name__ == '__main__':
record_schema = {
'schema': {
'id': 0,
'token_id': '',
'expi... | {
"repo_name": "collectiveacuity/labPack",
"path": "tests/test_databases_sql_table.py",
"copies": "1",
"size": "5803",
"license": "mit",
"hash": -1941595243775246600,
"line_mean": 35.26875,
"line_max": 91,
"alpha_frac": 0.5978972768,
"autogenerated": false,
"ratio": 3.774886141834743,
"config_te... |
__author__ = 'rcj1492'
__created__ = '2021.03'
__license__ = '©2021 Collective Acuity'
from labpack.compilers.json import merge_json
data_a = {
"date": 20210101,
"brands": {
"new": [
"toothpaste",
"floss"
],
"old": [
"face cream",
"skin cream"
]
},
"campaigns": [
{
... | {
"repo_name": "collectiveacuity/labPack",
"path": "tests/test_compilers_json.py",
"copies": "1",
"size": "1764",
"license": "mit",
"hash": 6384482900991423000,
"line_mean": 16.8080808081,
"line_max": 73,
"alpha_frac": 0.4259784458,
"autogenerated": false,
"ratio": 3.223034734917733,
"config_tes... |
__author__ = 'rcj1492'
__created__ = '2021.03'
__license__ = '©2021 Collective Acuity'
from labpack.compilers.yaml import merge_yaml, merge_yaml_strings
str_a = """\
# comments at head of file
date: 20210101 # comment on key-value pair
division: marketing # missing from prune
brands: # comment on key to map
... | {
"repo_name": "collectiveacuity/labPack",
"path": "tests/test_compilers_yaml.py",
"copies": "1",
"size": "3088",
"license": "mit",
"hash": -6083974268549676000,
"line_mean": 30.824742268,
"line_max": 69,
"alpha_frac": 0.6407515387,
"autogenerated": false,
"ratio": 3.648936170212766,
"config_tes... |
__author__ = 'rcj1492'
__created__ = '2021.03'
__license__ = '©2021 Collective Acuity'
'''
PLEASE NOTE: git package requires the git command line tool.
(all platforms) sudo apt-get install git
'''
import re
import subprocess
from os import devnull
try:
subprocess.Popen(["git", "--version"], stdout=subproces... | {
"repo_name": "collectiveacuity/labPack",
"path": "labpack/compilers/git.py",
"copies": "1",
"size": "4422",
"license": "mit",
"hash": -946567188605717800,
"line_mean": 31.7555555556,
"line_max": 92,
"alpha_frac": 0.4609816784,
"autogenerated": false,
"ratio": 4.753763440860215,
"config_test": ... |
__author__ = 'rcj1492'
__created__ = '2015.06'
class meetupHandler(object):
''' handles responses from meetup api and usage data'''
_class_fields = {
'schema': {
'rate_limits': [
{'requests': 30, 'period': 10}
]
}
}
def __init__(... | {
"repo_name": "collectiveacuity/labPack",
"path": "labpack/events/meetup.py",
"copies": "1",
"size": "75146",
"license": "mit",
"hash": -5739074263100766000,
"line_mean": 33.0657956136,
"line_max": 184,
"alpha_frac": 0.46802225,
"autogenerated": false,
"ratio": 4.573428275820096,
"config_test":... |
__author__ = 'rcj1492'
__created__ = '2015.07'
__license__ = 'MIT'
# https://docs.python.org/2/library/random.html
from os import urandom
from binascii import hexlify
from random import SystemRandom, shuffle
def random_object():
rand_data = urandom(32)
rand_string = hexlify(rand_data).decode()
... | {
"repo_name": "collectiveacuity/labPack",
"path": "labpack/randomization/randomlab.py",
"copies": "1",
"size": "1362",
"license": "mit",
"hash": -3770282332442607600,
"line_mean": 25.8367346939,
"line_max": 80,
"alpha_frac": 0.6556534508,
"autogenerated": false,
"ratio": 3.4568527918781724,
"co... |
__author__ = 'rcj1492'
__created__ = '2015.09'
__license__ = 'MIT'
# pip install pytz
# pip install tzlocal
import uuid
import binascii
import os
import hashlib
import base64
from datetime import datetime
import pytz
class labID(object):
''' a class of methods for uniquely identifying objects
... | {
"repo_name": "collectiveacuity/labPack",
"path": "labpack/records/id.py",
"copies": "1",
"size": "2819",
"license": "mit",
"hash": 9215177090879654000,
"line_mean": 32.3780487805,
"line_max": 86,
"alpha_frac": 0.5814118482,
"autogenerated": false,
"ratio": 3.6753585397653192,
"config_test": fa... |
__author__ = 'rcj1492'
__created__ = '2015.12'
__license__ = 'MIT'
'''
PLEASE NOTE: mandrill requires domain verification to send messages
SETUP: https://mandrill.zendesk.com/hc/en-us/articles/205582247
'''
# TODO: incorporate rate limiting logic
class mandrillHandler(object):
''' handl... | {
"repo_name": "collectiveacuity/labPack",
"path": "labpack/email/mandrill.py",
"copies": "1",
"size": "8933",
"license": "mit",
"hash": 4758741617936688000,
"line_mean": 33.3083003953,
"line_max": 185,
"alpha_frac": 0.5506548752,
"autogenerated": false,
"ratio": 4.133734382230449,
"config_test"... |
__author__ = 'rcj1492'
__created__ = '2016.03'
__license__ = 'MIT'
import json
from gzip import compress, decompress
try:
from labpack.encryption import cryptolab
except:
print('\ndrep methods require the cryptography module. try: pip install cryptography')
exit()
def dump(json_input, secret... | {
"repo_name": "collectiveacuity/labPack",
"path": "labpack/compilers/drep.py",
"copies": "1",
"size": "1389",
"license": "mit",
"hash": 3760343029562221600,
"line_mean": 25.2352941176,
"line_max": 90,
"alpha_frac": 0.6580273578,
"autogenerated": false,
"ratio": 3.704,
"config_test": false,
"h... |
__author__ = 'rcj1492'
__created__ = '2016.03'
__license__ = 'MIT'
import os
from jsonmodel.validators import jsonModel
from labpack import __team__, __module__
from labpack.platforms.localhost import localhostClient
class appdataClient(object):
''' a class of methods for managing file storage on loca... | {
"repo_name": "collectiveacuity/labPack",
"path": "labpack/storage/appdata.py",
"copies": "1",
"size": "23801",
"license": "mit",
"hash": -6135242292006462000,
"line_mean": 36.3301127214,
"line_max": 134,
"alpha_frac": 0.536027898,
"autogenerated": false,
"ratio": 4.431390802457643,
"config_tes... |
__author__ = 'rcj1492'
__created__ = '2016.03'
__license__ = 'MIT'
import sys
from pocketlab.parser import argument_parser
from pocketlab import __module__
from importlib import import_module
def cli(error=False, command=''):
# handle optional error argument
if error:
argv = ['-h']
else... | {
"repo_name": "collectiveacuity/pocketLab",
"path": "pocketlab/cli.py",
"copies": "1",
"size": "1857",
"license": "mit",
"hash": -5303974955611744000,
"line_mean": 28.9833333333,
"line_max": 85,
"alpha_frac": 0.5826602046,
"autogenerated": false,
"ratio": 3.351985559566787,
"config_test": false... |
__author__ = 'rcj1492'
__created__ = '2016.03'
from pocketlab.init import fields_model
_home_details = {
'title': 'home',
'description': 'Home adds the service name and working directory to the lab registry. On its first run, it also adds the alias \'home\' to bash config. As a result, on subsequent te... | {
"repo_name": "collectiveacuity/pocketLab",
"path": "pocketlab/commands/home.py",
"copies": "1",
"size": "6840",
"license": "mit",
"hash": -5388856222665846000,
"line_mean": 38.4733727811,
"line_max": 385,
"alpha_frac": 0.6057017544,
"autogenerated": false,
"ratio": 4.196319018404908,
"config_t... |
__author__ = 'rcj1492'
__created__ = '2016.07'
__license__ = 'MIT'
import re
from jsonmodel.validators import jsonModel
from labpack.compilers.objects import _method_constructor
def validate_extension(self, file_name, extension_map, method_title, argument_title):
'''
a method to extract (and ... | {
"repo_name": "collectiveacuity/labPack",
"path": "labpack/parsing/regex.py",
"copies": "1",
"size": "8247",
"license": "mit",
"hash": -5422286028398223000,
"line_mean": 35.1486486486,
"line_max": 115,
"alpha_frac": 0.5041833394,
"autogenerated": false,
"ratio": 4.032762836185819,
"config_test"... |
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