text stringlengths 0 1.05M | meta dict |
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from pyVim.connect import SmartConnect, Disconnect
from pyVmomi import vim
import atexit
import ssl
import sys
#Script to get Max EVC Mode supported on all the hosts in the cluster
s=ssl.SSLContext(ssl.PROTOCOL_TLSv1)
s.verify_mode=ssl.CERT_NONE
si= SmartConnect(host="10.160.50.60", user="Administrator@vsphere.local",... | {
"repo_name": "vThinkBeyondVM/vThinkBVM-scripts",
"path": "pyVmomi vSphere python SDK/getEVCClusterState.py",
"copies": "1",
"size": "2301",
"license": "mit",
"hash": 8774701115499308000,
"line_mean": 34.4,
"line_max": 138,
"alpha_frac": 0.6710126032,
"autogenerated": false,
"ratio": 3.6640127388... |
from pyVim.connect import SmartConnect, Disconnect
from pyVmomi import vim
import atexit
import ssl
import sys
s=ssl.SSLContext(ssl.PROTOCOL_TLSv1)
s.verify_mode=ssl.CERT_NONE
si= SmartConnect(host="10.160.50.60", user="Administrator@vsphere.local", pwd="VMware#12",sslContext=s)
content=si.content
# Your cluster na... | {
"repo_name": "vThinkBeyondVM/vThinkBVM-scripts",
"path": "pyVmomi vSphere python SDK/getMaxEVCMode.py",
"copies": "1",
"size": "1926",
"license": "mit",
"hash": -3603587355603857000,
"line_mean": 34.0181818182,
"line_max": 138,
"alpha_frac": 0.6671858775,
"autogenerated": false,
"ratio": 3.62030... |
from pyVim.connect import SmartConnect
import ssl
from pyVmomi import vim
import atexit
import sys
import argparse
import getpass
def get_args():
""" Get arguments from CLI """
parser = argparse.ArgumentParser(
description='Arguments for talking to vCenter')
parser.add_argument('-s', '--host'... | {
"repo_name": "vThinkBeyondVM/vThinkBVM-scripts",
"path": "pyVmomi vSphere python SDK/per-VM EVC/per-VM_EVC_clustermask.py",
"copies": "1",
"size": "3551",
"license": "mit",
"hash": -866747896578511500,
"line_mean": 31.5779816514,
"line_max": 114,
"alpha_frac": 0.6316530555,
"autogenerated": false,... |
from pyVim.connect import SmartConnect
import ssl
from pyVmomi import vim
import atexit
import sys
import argparse
import getpass
def get_args():
""" Get arguments from CLI """
parser = argparse.ArgumentParser(
description='Arguments for talking to vCenter')
parser.add_argument('-s', '--host... | {
"repo_name": "vThinkBeyondVM/vThinkBVM-scripts",
"path": "pyVmomi vSphere python SDK/per-VM EVC/configure_pervm_evc.py",
"copies": "1",
"size": "2999",
"license": "mit",
"hash": 2885683889624883000,
"line_mean": 31.247311828,
"line_max": 114,
"alpha_frac": 0.6185395132,
"autogenerated": false,
"... |
from pyVim.connect import SmartConnect, Disconnect
from pyVmomi import vim
import atexit
import ssl
import sys
import time
s=ssl.SSLContext(ssl.PROTOCOL_TLSv1)
s.verify_mode=ssl.CERT_NONE
si= SmartConnect(host="10.161.20.30", user="Administrator@vsphere.local", pwd="VMware#123",sslContext=s)
content=si.content
#Clus... | {
"repo_name": "vThinkBeyondVM/vThinkBVM-scripts",
"path": "pyVmomi vSphere python SDK/enable_proactive_ha.py",
"copies": "1",
"size": "2439",
"license": "mit",
"hash": 3310235510155513300,
"line_mean": 34.347826087,
"line_max": 138,
"alpha_frac": 0.7076670767,
"autogenerated": false,
"ratio": 3.4... |
from pyVim.connect import SmartConnect, Disconnect
from pyVmomi import vim
import atexit
import ssl
import sys
import time
#Script to register a health update provider and adding monitored entities
s=ssl.SSLContext(ssl.PROTOCOL_TLSv1)
s.verify_mode=ssl.CERT_NONE
si= SmartConnect(host="10.161.20.30", user="Administrato... | {
"repo_name": "vThinkBeyondVM/vThinkBVM-scripts",
"path": "pyVmomi vSphere python SDK/register_provider.py",
"copies": "1",
"size": "2532",
"license": "mit",
"hash": 6120032858773733000,
"line_mean": 38.5625,
"line_max": 138,
"alpha_frac": 0.7417061611,
"autogenerated": false,
"ratio": 3.71806167... |
from pyVim.connect import SmartConnect
from pyVmomi import vim
import ssl
s=ssl.SSLContext(ssl.PROTOCOL_TLSv1)
s.verify_mode=ssl.CERT_NONE
c= SmartConnect(host="10.192.20.30", user="Administrator@vsphere.local", pwd="VMW!23A",sslContext=s)
vcha = c.content.failoverClusterManager
VchaClusterHealth = vcha.GetVchaClus... | {
"repo_name": "vThinkBeyondVM/vThinkBVM-scripts",
"path": "pyVmomi vSphere python SDK/get_vcha_health.py",
"copies": "1",
"size": "1361",
"license": "mit",
"hash": 6746981779155990000,
"line_mean": 37.8857142857,
"line_max": 138,
"alpha_frac": 0.7891256429,
"autogenerated": false,
"ratio": 3.0584... |
import requests
import json
import ssl
import atexit
import sys
import argparse
import getpass
from requests.packages.urllib3.exceptions import InsecureRequestWarning
requests.packages.urllib3.disable_warnings(InsecureRequestWarning)
s=requests.Session()
s.verify=False
def get_args():
""" Get arguments from ... | {
"repo_name": "vThinkBeyondVM/vThinkBVM-scripts",
"path": "vCenter REST APIs using Python/relocate_vm.py",
"copies": "1",
"size": "4372",
"license": "mit",
"hash": -31064515828263796,
"line_mean": 31.6268656716,
"line_max": 131,
"alpha_frac": 0.6084172004,
"autogenerated": false,
"ratio": 3.64333... |
from pyVim.connect import SmartConnect
from pyVmomi import vim
import ssl
s=ssl.SSLContext(ssl.PROTOCOL_TLSv1)
s.verify_mode=ssl.CERT_NONE
c= SmartConnect(host="10.161.2.3", user="Administrator@vsphere.local", pwd="VMware1!",sslContext=s)
content=c.content
#Below method gets all objects those are matching with prov... | {
"repo_name": "vThinkBeyondVM/vThinkBVM-scripts",
"path": "pyVmomi vSphere python SDK/getDRSRules.py",
"copies": "1",
"size": "2353",
"license": "mit",
"hash": -5155983317375272000,
"line_mean": 47.0204081633,
"line_max": 138,
"alpha_frac": 0.7450063748,
"autogenerated": false,
"ratio": 3.5490196... |
import requests
import json
import ssl
import atexit
import sys
import argparse
import getpass
from requests.packages.urllib3.exceptions import InsecureRequestWarning
requests.packages.urllib3.disable_warnings(InsecureRequestWarning)
s=requests.Session()
s.verify=False
def get_args():
""" Get arguments from C... | {
"repo_name": "vThinkBeyondVM/vThinkBVM-scripts",
"path": "vCenter REST APIs using Python/HLMLinking.py",
"copies": "1",
"size": "4041",
"license": "mit",
"hash": 6440666958698434000,
"line_mean": 30.8188976378,
"line_max": 131,
"alpha_frac": 0.5634743875,
"autogenerated": false,
"ratio": 4.10253... |
__author__ = 'vikesh'
from slackrtm.server import User, Bot
class DummyServer(object):
def __init__(self, slack=None, config=None, hooks=None, db=None):
self.slack = slack or DummySlack()
self.config = config
self.hooks = hooks
self.db = db
def query(self, sql, *params):
... | {
"repo_name": "vicky002/Charmander",
"path": "charmander/dummyserver.py",
"copies": "1",
"size": "1508",
"license": "mit",
"hash": 8552597043563004000,
"line_mean": 26.4181818182,
"line_max": 69,
"alpha_frac": 0.5444297082,
"autogenerated": false,
"ratio": 3.651331719128329,
"config_test": fals... |
__author__ = 'vikesh'
import os
import sys
try:
from setuptools import setup
except ImportError:
from distutils.core import setup
PYTHON3 = sys.version_info[0] > 2
required = ['requests>=2.5', 'websocket-client==0.32.0',
'beautifulsoup4==4.4.1', 'html5lib==0.9999999', 'pyfiglet==0.7.4',
... | {
"repo_name": "vicky002/Charmander",
"path": "setup.py",
"copies": "1",
"size": "1424",
"license": "mit",
"hash": -6887243084360543000,
"line_mean": 24.9090909091,
"line_max": 90,
"alpha_frac": 0.6172752809,
"autogenerated": false,
"ratio": 3.4066985645933014,
"config_test": false,
"has_no_ke... |
__author__ = 'vikesh'
import os
import wolframalpha
from flask import Flask, request, Response, redirect
try:
import config
wol_id = config.wolframalpha['app_id']
except:
wol_id = os.environ.get('APP_ID')
if not wol_id:
import sys
print 'No config.py found exisiting...'
sys.exit(0)
app =... | {
"repo_name": "vicky002/slack-TheL",
"path": "app.py",
"copies": "1",
"size": "1215",
"license": "mit",
"hash": -4762528517801742000,
"line_mean": 21.9245283019,
"line_max": 88,
"alpha_frac": 0.5958847737,
"autogenerated": false,
"ratio": 3.2058047493403694,
"config_test": false,
"has_no_keyw... |
__author__ = 'vikesh'
"""
~wiki <query | topic> returns a wiki link for that <query>
"""
import re
try:
from urllib import quote
except ImportError:
from urllib2.request import quote
import requests
from bs4 import BeautifulSoup
def return_wiki(search_term):
search_term = quote(search_term)
url =... | {
"repo_name": "vicky002/Charmander",
"path": "charmander/extensions/wiki.py",
"copies": "1",
"size": "1280",
"license": "mit",
"hash": 2781957121268595000,
"line_mean": 23.6346153846,
"line_max": 121,
"alpha_frac": 0.63515625,
"autogenerated": false,
"ratio": 3.2160804020100504,
"config_test": ... |
import flickr_api
logFile = 'pyflickr.log'
resize = (1,1)
fd = open('flickr.key','r')
kdat = fd.readlines()
fd.close()
flickr_api.set_keys(api_key=kdat[0].strip(), api_secret=kdat[1].strip())
def log(msg,typ='a'):
global logFile
fd = open(logFile,typ)
fd.write(msg+'\n')
fd.close()
def setLog(fil='pyflickr.... | {
"repo_name": "makechaos/PhotoAccess",
"path": "pyflickr.py",
"copies": "1",
"size": "7263",
"license": "mit",
"hash": -9066565338676208000,
"line_mean": 25.7022058824,
"line_max": 131,
"alpha_frac": 0.6067740603,
"autogenerated": false,
"ratio": 2.9512393336042257,
"config_test": false,
"has... |
import os
import sys
from pymongo import MongoClient
from datetime import datetime
dbname = 'PhotoDB-6'
updfil = '.lastupdate'+'_'+dbname
def getJpegHeader(fname):
from PIL import Image
from PIL.ExifTags import TAGS
import datetime
import os
i = Image.open(fname)
inf = i._getexif();
dat = dict()
sdi... | {
"repo_name": "makechaos/PhotoAccess",
"path": "addDirImagesToDB.py",
"copies": "1",
"size": "4510",
"license": "mit",
"hash": -3467925956153327600,
"line_mean": 24.7714285714,
"line_max": 115,
"alpha_frac": 0.5600886918,
"autogenerated": false,
"ratio": 2.8653113087674713,
"config_test": false... |
import photoServer
import web
import StringIO
import string
from PIL import Image
from pymongo import MongoClient
hostid='http://192.168.1.4:1451'
client = MongoClient('localhost',1951)
dbName = 'PhotoDB-6'
db = client[dbName]
coll = db['Photos']
gopt = ''
showSizeText = False
dfmt = '%d-%b-%Y'
albumList = None
imPer... | {
"repo_name": "makechaos/PhotoAccess",
"path": "photoServer.py",
"copies": "1",
"size": "23825",
"license": "mit",
"hash": -2759888120304611000,
"line_mean": 36.5788643533,
"line_max": 562,
"alpha_frac": 0.580818468,
"autogenerated": false,
"ratio": 3.002898916057474,
"config_test": false,
"h... |
import time
#knapsack problem
# given max weight W and weights w1....wn and values v1...vn, maximize the items in a bag
def knapsack(input, maxWeight):
k=[0]
# for w = 1 to W
# k(w) = max(k(W-wi) + vi))
for w in range(1, maxWeight+1):
maxVal = 0
for i in range(0, len(input)):
... | {
"repo_name": "vikramraman/algorithms",
"path": "python/knapsack.py",
"copies": "1",
"size": "1502",
"license": "mit",
"hash": -1890469022171185000,
"line_mean": 24.4576271186,
"line_max": 89,
"alpha_frac": 0.5026631158,
"autogenerated": false,
"ratio": 2.740875912408759,
"config_test": false,
... |
__author__ = 'Viktor Kerkez <alefnula@gmail.com>'
__date__ = '01 January 2009'
__copyright__ = 'Copyright (c) 2009 Viktor Kerkez'
import os
import logging
from tea.process import execute
from samovar.scm.base import SCM
logger = logging.getLogger(__name__)
class Git(SCM):
def __init__(self, repository):
... | {
"repo_name": "alefnula/samovar",
"path": "src/samovar/scm/git.py",
"copies": "1",
"size": "2096",
"license": "bsd-3-clause",
"hash": 8714407073657700000,
"line_mean": 33.3606557377,
"line_max": 78,
"alpha_frac": 0.5601145038,
"autogenerated": false,
"ratio": 3.8248175182481754,
"config_test": ... |
__author__ = 'Viktor Kerkez <alefnula@gmail.com>'
__date__ = '02 January 2013'
__copyright__ = 'Copyright (c) 2013 Viktor Kerkez'
from samovar.commander import BaseCommand
from ._parsing import HgStyle, HgLexer
class Command(BaseCommand):
'''Perform hg commit on all selected repositories'''
option_l... | {
"repo_name": "alefnula/samovar",
"path": "src/samovar/commands/scm/commit.py",
"copies": "1",
"size": "2122",
"license": "bsd-3-clause",
"hash": -5582876740645743000,
"line_mean": 46.1555555556,
"line_max": 112,
"alpha_frac": 0.6055607917,
"autogenerated": false,
"ratio": 3.8442028985507246,
"... |
__author__ = 'Viktor Kerkez <alefnula@gmail.com>'
__date__ = '02 January 2013'
__copyright__ = 'Copyright (c) 2013 Viktor Kerkez'
import os
import json
import glob
import urllib
import logging
try:
import urlparse # @UnusedImport
import urllib2 as request # @UnusedImport
except:
from urllib impo... | {
"repo_name": "alefnula/samovar",
"path": "src/samovar/utils/other.py",
"copies": "1",
"size": "5190",
"license": "bsd-3-clause",
"hash": 4718988135565490000,
"line_mean": 33.8322147651,
"line_max": 123,
"alpha_frac": 0.5816955684,
"autogenerated": false,
"ratio": 3.728448275862069,
"config_tes... |
__author__ = 'Viktor Kerkez <alefnula@gmail.com>'
__date__ = '02 January 2013'
__copyright__ = 'Copyright (c) 2013 Viktor Kerkez'
import os
from tea.system import platform
from tea.process import execute
from samovar.commander import BaseCommand
from tea.console.color import cprint, Color
class Command(Base... | {
"repo_name": "alefnula/samovar",
"path": "src/samovar/commands/other/open.py",
"copies": "1",
"size": "2406",
"license": "bsd-3-clause",
"hash": 459136104476312900,
"line_mean": 40.4827586207,
"line_max": 157,
"alpha_frac": 0.5573566085,
"autogenerated": false,
"ratio": 3.7711598746081503,
"co... |
__author__ = 'Viktor Kerkez <alefnula@gmail.com>'
__date__ = '18 January 2013'
__copyright__ = 'Copyright (c) 2013 Viktor Kerkez'
import abc
import getpass
from tea.console.color import cprint, Color
from samovar.parsing import ConsoleFormatter
from tea.utils import six
from tea.utils.six.moves import input # @Unres... | {
"repo_name": "alefnula/samovar",
"path": "src/samovar/commander/ui.py",
"copies": "1",
"size": "4411",
"license": "bsd-3-clause",
"hash": -8497480318262835000,
"line_mean": 32.9307692308,
"line_max": 74,
"alpha_frac": 0.6463386987,
"autogenerated": false,
"ratio": 4.380337636544191,
"config_te... |
__author__ = 'Viktor Kerkez <alefnula@gmail.com>'
__date__ = '18 January 2013'
__copyright__ = 'Copyright (c) 2013 Viktor Kerkez'
import os
import re
import sys
import json
import time
import logging
import argparse
from samovar.commander.options import add_option
from samovar.commander.exceptions import CommandError... | {
"repo_name": "alefnula/samovar",
"path": "src/samovar/commander/base.py",
"copies": "1",
"size": "7608",
"license": "bsd-3-clause",
"hash": -6999416014485885000,
"line_mean": 33.8990825688,
"line_max": 79,
"alpha_frac": 0.6100157729,
"autogenerated": false,
"ratio": 4.402777777777778,
"config_... |
__author__ = 'Viktor Kerkez <alefnula@gmail.com>'
__date__ = '19 January 2013'
__copyright__ = 'Copyright (c) 2013 Viktor Kerkez'
from tea.console.color import Color
class Font(object):
"""Font properties"""
Defalt = 0
# Style
Mono = 1
Roman = 2
Sans = 4
# Decoration
Bold = 8
I... | {
"repo_name": "alefnula/samovar",
"path": "src/samovar/parsing/style.py",
"copies": "1",
"size": "4942",
"license": "bsd-3-clause",
"hash": -5722094206169405000,
"line_mean": 28.4166666667,
"line_max": 77,
"alpha_frac": 0.5064751113,
"autogenerated": false,
"ratio": 3.873040752351097,
"config_t... |
__author__ = 'Viktor Kerkez <alefnula@gmail.com>'
__date__ = '19 January 2013'
__copyright__ = 'Copyright (c) 2013 Viktor Kerkez'
import sys
from tea.utils import six
from tea.console.color import cprint
from samovar.parsing.token import Token
from samovar.parsing.style import Style, ConsoleStyleAdapter
class Forma... | {
"repo_name": "alefnula/samovar",
"path": "src/samovar/parsing/formatter.py",
"copies": "1",
"size": "2295",
"license": "bsd-3-clause",
"hash": -3168443094630368000,
"line_mean": 26,
"line_max": 77,
"alpha_frac": 0.6265795207,
"autogenerated": false,
"ratio": 3.756137479541735,
"config_test": f... |
__author__ = 'Viktor Kerkez <alefnula@gmail.com>'
__date__ = '01 January 2009'
__copyright__ = 'Copyright (c) 2009 Viktor Kerkez'
import re
try:
import urlparse
from urllib2 import quote as urlquote
except ImportError:
import urllib.parse as urlparse
urlquote = urlparse.quote
# tea impor... | {
"repo_name": "alefnula/samovar",
"path": "src/samovar/scm/repository.py",
"copies": "1",
"size": "2843",
"license": "bsd-3-clause",
"hash": -4720663800626940000,
"line_mean": 27.9263157895,
"line_max": 73,
"alpha_frac": 0.52514949,
"autogenerated": false,
"ratio": 3.981792717086835,
"config_te... |
__author__ = 'Vinayak Marali'
__author__ = 'Pavan Prabhakar Bhat'
"""
CSCI-603: Lab 2 (week 2)
Section 03
Author: Pavan Prbahakar Bhat (pxb8715@rit.edu)
Vinayak Marali (vkm7895@rit.edu)
This is a program that draws a forest with trees and a house.
"""
# Imports required by the program
import turtle
import ra... | {
"repo_name": "pavanbhat/Python-Labs",
"path": "forest.py",
"copies": "1",
"size": "7578",
"license": "bsd-3-clause",
"hash": -4133744165060668000,
"line_mean": 26.4565217391,
"line_max": 101,
"alpha_frac": 0.5897334389,
"autogenerated": false,
"ratio": 3.584673604541154,
"config_test": false,
... |
__author__ = 'vinay'
import json
import traceback
from django.core.cache import cache
from django.http.response import HttpResponseForbidden, JsonResponse
from django.shortcuts import get_object_or_404
from django.views.decorators.csrf import csrf_protect
from django.views.decorators.http import require_POST
from .mo... | {
"repo_name": "amitu/cfblog",
"path": "cfblog/views.py",
"copies": "1",
"size": "1900",
"license": "bsd-3-clause",
"hash": 8042067649594949000,
"line_mean": 34.1851851852,
"line_max": 110,
"alpha_frac": 0.6115789474,
"autogenerated": false,
"ratio": 4.260089686098655,
"config_test": false,
"h... |
__author__ = 'vinay'
import json
from django.conf import settings
from django.core.cache import cache
from django.core.exceptions import ValidationError
from django.http.response import Http404, HttpResponse
from django.template import TemplateSyntaxError, TemplateDoesNotExist
from django.views.decorators.csrf import ... | {
"repo_name": "amitu/cfblog",
"path": "cfblog/response.py",
"copies": "1",
"size": "5653",
"license": "bsd-3-clause",
"hash": -6723283974273591000,
"line_mean": 38.5314685315,
"line_max": 117,
"alpha_frac": 0.6527507518,
"autogenerated": false,
"ratio": 4.536918138041734,
"config_test": false,
... |
__author__ = 'Vince.ec'
from grizli import model
from grizli import multifit
import numpy as np
from scipy.interpolate import interp1d
from astropy.table import Table
from astropy import wcs
from astropy.io import fits
from glob import glob
import os
def Extract_BeamCutout(target_id, grism_file, mosaic, seg_map, inst... | {
"repo_name": "ivastar/clear",
"path": "notebooks/forward_modeling/sim_tools.py",
"copies": "1",
"size": "7874",
"license": "mit",
"hash": -4544690886130491400,
"line_mean": 35.9718309859,
"line_max": 115,
"alpha_frac": 0.5575311151,
"autogenerated": false,
"ratio": 3.024971187091817,
"config_t... |
# Copyright (c) 2014-present PlatformIO <contact@platformio.org>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ap... | {
"repo_name": "vidupont/ebu-kiosk-v1",
"path": "scripts/get-platformio.py",
"copies": "1",
"size": "5510",
"license": "apache-2.0",
"hash": 8022378251782360000,
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"autogenerated": false,
"ratio": 3.7921541637990366,
"config_t... |
__author__ = 'vincentnewpro'
from sys import byteorder
from array import array
from struct import pack
import pyaudio
import wave
class CocoListener:
THRESHOLD = 450
CHUNK_SIZE = 1024
FORMAT = pyaudio.paInt16
RATE = 16000
def is_silent(self,snd_data):
"Returns 'True' if below the 'sile... | {
"repo_name": "yhfy2006/cocabot",
"path": "bot/cocoListener.py",
"copies": "1",
"size": "3612",
"license": "mit",
"hash": -1813079574896706300,
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"ha... |
__author__ = 'vincentnewpro'
from sys import byteorder
from array import array
from struct import pack
import pyaudio
import wave
THRESHOLD = 500
CHUNK_SIZE = 1024
FORMAT = pyaudio.paInt16
RATE = 11025
def is_silent(snd_data):
"Returns 'True' if below the 'silent' threshold"
return max(snd_data) < THRESHOLD... | {
"repo_name": "yhfy2006/cocabot",
"path": "bot/tester.py",
"copies": "1",
"size": "2995",
"license": "mit",
"hash": 4955161118986051000,
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"autogenerated": false,
"ratio": 3.313053097345133,
"config_test": false,
"has_no_ke... |
__author__ = 'vincenzo gulisano'
import pymysql.cursors
from optparse import OptionParser
def open_connection(password):
connection = pymysql.connect(host='129.16.22.6',
port=8080,
user='root',
password=password,
... | {
"repo_name": "vincenzo-gulisano/debs2016_evaluationplatform",
"path": "db/db_utils.py",
"copies": "1",
"size": "4108",
"license": "mit",
"hash": -84487580802181920,
"line_mean": 32.1290322581,
"line_max": 105,
"alpha_frac": 0.6550632911,
"autogenerated": false,
"ratio": 3.9767666989351405,
"co... |
__author__ = 'vin@misday.com'
from pyvin.core import SqliteHelp
class Persist(SqliteHelp):
DB_NAME = 'data.db'
DB_VER = 1
CREATE_BOOK_TBL = '''
CREATE TABLE IF NOT EXISTS book (
id INTEGER NOT NULL PRIMARY KEY AUTOINCREMENT,
bid TEXT NOT NULL,
title TEXT NOT NULL,
... | {
"repo_name": "susemm/books",
"path": "duoPersist.py",
"copies": "1",
"size": "1992",
"license": "apache-2.0",
"hash": 3201576209880223000,
"line_mean": 28.6769230769,
"line_max": 141,
"alpha_frac": 0.5240963855,
"autogenerated": false,
"ratio": 3.913555992141454,
"config_test": false,
"has_n... |
__author__ = 'vin@misday.com'
import os, sys, urllib, urllib2, codecs, traceback, platform, re, threading, logging
from datetime import *
from pyvin.core import Processor
import bs4
reload(sys)
sys.setdefaultencoding('utf8')
sysstr = platform.system()
def get_timestamp():
return datetime.now().strf... | {
"repo_name": "susemm/pyvin",
"path": "spider/__init__.py",
"copies": "1",
"size": "11436",
"license": "apache-2.0",
"hash": 7337961346833993000,
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"autogenerated": false,
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"config_test": false,
"... |
__author__ = 'vin@misday.com'
import sqlite3
class SqliteHelp:
def __init__(self, dbName = '', newVersion= 0):
self.conn = sqlite3.connect(dbName, check_same_thread=False)
self.cursor = self.conn.cursor()
version = self.getVersion()
if version == 0:
self.onC... | {
"repo_name": "susemm/pyvin",
"path": "core/sqlitehelp.py",
"copies": "1",
"size": "1091",
"license": "apache-2.0",
"hash": -5997201825090383000,
"line_mean": 24.6585365854,
"line_max": 68,
"alpha_frac": 0.5490375802,
"autogenerated": false,
"ratio": 3.9386281588447654,
"config_test": false,
... |
__author__ = 'vin@misday.com'
import threading, Queue, time, logging
from .callbacks import Callbacks
class Processor(threading.Thread, Callbacks):
(EVT_START, EVT_STOP, EVT_LOOP, EVT_MAX_NUM) = range(1, 5)
def __init__(self, name = '', interval = 0, log=None):
if log:
self.log ... | {
"repo_name": "susemm/pyvin",
"path": "core/processor.py",
"copies": "1",
"size": "1619",
"license": "apache-2.0",
"hash": -2787456163956494000,
"line_mean": 29.7843137255,
"line_max": 80,
"alpha_frac": 0.5311920939,
"autogenerated": false,
"ratio": 3.958435207823961,
"config_test": false,
"h... |
__author__ = 'vin@misday.com'
import wx, webbrowser
from pyvin.core import Callbacks
(IDX_LABEL, IDX_HELP, IDX_ID, IDX_BITMAP, IDX_KIND, IDX_HANDLER, IDX_ID2) = range(0, 7)
def createMenubar(wnd, menuDef):
'''menuDef = [('FILE', (
('Open', 'Open a file', MainWindow.ID_MENUITE... | {
"repo_name": "susemm/pyvin",
"path": "ux/__init__.py",
"copies": "1",
"size": "4396",
"license": "apache-2.0",
"hash": -1914303062579027700,
"line_mean": 28.7412587413,
"line_max": 131,
"alpha_frac": 0.5141037307,
"autogenerated": false,
"ratio": 3.6300578034682083,
"config_test": false,
"ha... |
__author__ = 'vin@misday.com'
class KeyEvent:
'''From ${android}\android-sdk-windows\sources\android-23\android\view\KeyEvent.java'''
# /** Key code constant: Unknown key code. */
KEYCODE_UNKNOWN = 0;
# /** Key code constant: Soft Left key.
# * Usually situated below the display... | {
"repo_name": "susemm/pyvin",
"path": "android/keyevent.py",
"copies": "1",
"size": "33177",
"license": "apache-2.0",
"hash": 7724741026146750000,
"line_mean": 45.6025824964,
"line_max": 97,
"alpha_frac": 0.5668987552,
"autogenerated": false,
"ratio": 3.486077545444993,
"config_test": false,
... |
__author__ = 'VinnieJohns'
from model.contact import Contact
from fixture import support
import random
import string
import jsonpickle
import os.path
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()
... | {
"repo_name": "VinnieJohns/barancev_python_training",
"path": "generator/contact.py",
"copies": "1",
"size": "2671",
"license": "apache-2.0",
"hash": 237324172609434940,
"line_mean": 40.75,
"line_max": 113,
"alpha_frac": 0.6053912392,
"autogenerated": false,
"ratio": 3.5997304582210243,
"config... |
__author__ = 'VinnieJohns'
from model.contact import Contact
from random import randrange
import re
def test_14_all_contact_fields(app, db):
if len(db.get_contacts_list()) == 0:
app.contact.create(Contact(fname="pleasedeleteme"))
contacts = db.get_contacts_list()
index = randrange(len(contacts))
... | {
"repo_name": "VinnieJohns/barancev_python_training",
"path": "test/test_14_all_contact_fields.py",
"copies": "1",
"size": "1674",
"license": "apache-2.0",
"hash": -597511869262833200,
"line_mean": 39.8292682927,
"line_max": 116,
"alpha_frac": 0.6170848268,
"autogenerated": false,
"ratio": 3.5845... |
__author__ = 'VinnieJohns'
from model.contact import Contact
import random
def test_modify_random_contact(app, db, check_ui):
# please note that anniversary_date_month values are lowercase letters only
new_contact_data = Contact(fname="mod_fname0", midname="mod_mname0", lname="mod_lname0", nickname="mod_nickn... | {
"repo_name": "VinnieJohns/barancev_python_training",
"path": "test/test_modify_contact.py",
"copies": "1",
"size": "1724",
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"alpha_frac": 0.6281902552,
"autogenerated": false,
"ratio": 3.393700787401... |
__author__ = 'VinnieJohns'
from model.contact import Contact
import re
class ContactHelper:
# variable for storing list of groups
contacts_cache = None
def __init__(self, app):
self.app = app
def open_add_new_contact_page(self):
wd = self.app.wd
if not (wd.current_url.endswi... | {
"repo_name": "VinnieJohns/barancev_python_training",
"path": "fixture/contact.py",
"copies": "1",
"size": "9381",
"license": "apache-2.0",
"hash": -7200583717819921000,
"line_mean": 48.9042553191,
"line_max": 105,
"alpha_frac": 0.6229613048,
"autogenerated": false,
"ratio": 3.4026115342763874,
... |
__author__ = 'VinnieJohns'
from model.group import Group
from fixture import support
import random
import string
import jsonpickle
import os.path
import getopt
import sys
try:
opts, args = getopt.getopt(sys.argv[1:], "n:f:", ["number of groups", "file"])
except getopt.GetoptError as err:
getopt.usage()
sys... | {
"repo_name": "VinnieJohns/barancev_python_training",
"path": "generator/group.py",
"copies": "1",
"size": "1256",
"license": "apache-2.0",
"hash": 8347184192884904000,
"line_mean": 28.2325581395,
"line_max": 113,
"alpha_frac": 0.625,
"autogenerated": false,
"ratio": 3.431693989071038,
"config_... |
__author__ = 'VinnieJohns'
from model.group import Group
class GroupHelper:
# variable for storing list of groups
groups_cache = None
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... | {
"repo_name": "VinnieJohns/barancev_python_training",
"path": "fixture/group.py",
"copies": "1",
"size": "3695",
"license": "apache-2.0",
"hash": 4868656958044630000,
"line_mean": 32.2972972973,
"line_max": 100,
"alpha_frac": 0.5943166441,
"autogenerated": false,
"ratio": 3.411819021237304,
"co... |
__author__ = 'VinnieJohns'
from sys import maxsize
class Contact:
def __init__(self, fname=None, midname=None, lname=None, nickname=None, title=None, company=None, address=None,
home_tel=None, mobile_tel=None, work_tel=None, fax=None, email=None, email_2=None, email_3=None,
homep... | {
"repo_name": "VinnieJohns/barancev_python_training",
"path": "model/contact.py",
"copies": "1",
"size": "2130",
"license": "apache-2.0",
"hash": -5607995282213015000,
"line_mean": 41.62,
"line_max": 137,
"alpha_frac": 0.623943662,
"autogenerated": false,
"ratio": 3.429951690821256,
"config_tes... |
__author__ = 'VinnieJohns'
import mysql.connector
from model.group import Group
from model.contact import Contact
import re
class DbFixture:
def __init__(self, host, name, user, password):
self.host = host
self.name = name
self.user = user
self.password = password
self.con... | {
"repo_name": "VinnieJohns/barancev_python_training",
"path": "fixture/db.py",
"copies": "1",
"size": "3281",
"license": "apache-2.0",
"hash": 3869348454509595600,
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"alpha_frac": 0.5574519963,
"autogenerated": false,
"ratio": 4.035670356703567,
"confi... |
__author__ = 'VinnieJohns'
import pytest
import json
import os.path
import importlib
import jsonpickle
from fixture.application import Application
from fixture.db import DbFixture
fixture = None
target = None
def load_config(file):
global target
if target is None:
config_file = os.path.join(os.path.di... | {
"repo_name": "VinnieJohns/barancev_python_training",
"path": "conftest.py",
"copies": "1",
"size": "2473",
"license": "apache-2.0",
"hash": 8193260037312981000,
"line_mean": 29.5308641975,
"line_max": 100,
"alpha_frac": 0.6716538617,
"autogenerated": false,
"ratio": 3.691044776119403,
"config_... |
__author__ = 'VinnieJohns'
import re
def test_phones_on_home_page(app):
contact_from_home_page = app.contact.get_contacts_list()[0]
contact_from_edit_page = app.contact.get_contact_info_from_edit_page(0)
assert contact_from_home_page.all_phones_from_homepage == merge_phones_like_on_home_page(contact_from_... | {
"repo_name": "VinnieJohns/barancev_python_training",
"path": "test/test_phones.py",
"copies": "1",
"size": "1253",
"license": "apache-2.0",
"hash": 1420637484622089200,
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"line_max": 129,
"alpha_frac": 0.6624102155,
"autogenerated": false,
"ratio": 3.1721518987341772,
... |
__author__ = 'VinnieJohns'
class SessionHelper:
def __init__(self, app):
self.app = app
def change_field_value(self, field_name, text):
wd = self.app.wd
if text is not None:
wd.find_element_by_name(field_name).click()
wd.find_element_by_name(field_name).clear(... | {
"repo_name": "VinnieJohns/barancev_python_training",
"path": "fixture/session.py",
"copies": "1",
"size": "1451",
"license": "apache-2.0",
"hash": -821486765525905800,
"line_mean": 29.25,
"line_max": 96,
"alpha_frac": 0.5768435562,
"autogenerated": false,
"ratio": 3.430260047281324,
"config_te... |
__author__ = 'vipin'
from functools import wraps
import requests
from requests.auth import HTTPBasicAuth
from os import getcwd, path as pth
from subprocess import Popen, PIPE
def log_api_rate_limit(func):
"""
Decorator to display request rate limits info
from response headers
:param func: function wh... | {
"repo_name": "vipnambiar/test_github_api",
"path": "scripts/test_api.py",
"copies": "1",
"size": "1938",
"license": "mit",
"hash": -3755338767145346000,
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"line_max": 92,
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"autogenerated": false,
"ratio": 3.726923076923077,
"config_test": fa... |
import tkinter
from tkinter import *
from tkinter import Tk, scrolledtext, filedialog, messagebox
root = Tk(className=" TextEditor-VaibhawLabs") #name your texteditor in quotes
textPad = scrolledtext.ScrolledText(root, width=100, height=80)
#Defining Menu bar and sub-commands
def open_file():
file = filedia... | {
"repo_name": "vaibhawvipul/TextEditor-Python",
"path": "TextEditor_VaibhawLabs.py",
"copies": "1",
"size": "2718",
"license": "mit",
"hash": -9198054289929137000,
"line_mean": 30.9764705882,
"line_max": 97,
"alpha_frac": 0.700147167,
"autogenerated": false,
"ratio": 3.016648168701443,
"config_... |
import numpy as np
from . import MinCovDet
from ..utils.validation import check_is_fitted, check_array
from ..metrics import accuracy_score
from ..base import OutlierMixin
class EllipticEnvelope(MinCovDet, OutlierMixin):
"""An object for detecting outliers in a Gaussian distributed dataset.
Read more in the... | {
"repo_name": "chrsrds/scikit-learn",
"path": "sklearn/covariance/elliptic_envelope.py",
"copies": "2",
"size": "7417",
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"hash": -5527737046481410000,
"line_mean": 33.6588785047,
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import numpy as np
from . import MinCovDet
from ..utils.validation import check_is_fitted, check_array
from ..utils.validation import _deprecate_positional_args
from ..metrics import accuracy_score
from ..base import OutlierMixin
class EllipticEnvelope(OutlierMixin, MinCovDet):
"""An object for detecting outlier... | {
"repo_name": "huzq/scikit-learn",
"path": "sklearn/covariance/_elliptic_envelope.py",
"copies": "3",
"size": "8067",
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"hash": -2816385220872183000,
"line_mean": 34.0739130435,
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"alpha_frac": 0.6076608405,
"autogenerated": false,
"ratio": 4.293241085683874... |
import numpy as np
from . import MinCovDet
from ..utils.validation import check_is_fitted
from ..metrics import accuracy_score
from ..base import OutlierMixin
class EllipticEnvelope(OutlierMixin, MinCovDet):
"""An object for detecting outliers in a Gaussian distributed dataset.
Read more in the :ref:`User G... | {
"repo_name": "kevin-intel/scikit-learn",
"path": "sklearn/covariance/_elliptic_envelope.py",
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"hash": 4007024372102468600,
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"autogenerated": false,
"ratio": 4.2748717948... |
import numpy as np
from . import MinCovDet
from ..utils.validation import check_is_fitted
from ..utils.validation import _deprecate_positional_args
from ..metrics import accuracy_score
from ..base import OutlierMixin
class EllipticEnvelope(OutlierMixin, MinCovDet):
"""An object for detecting outliers in a Gaussi... | {
"repo_name": "anntzer/scikit-learn",
"path": "sklearn/covariance/_elliptic_envelope.py",
"copies": "2",
"size": "8316",
"license": "bsd-3-clause",
"hash": -844995554201382700,
"line_mean": 34.3872340426,
"line_max": 79,
"alpha_frac": 0.6041366041,
"autogenerated": false,
"ratio": 4.2799794132784... |
import numpy as np
import scipy as sp
import warnings
from . import MinCovDet
from ..utils.validation import check_is_fitted, check_array
from ..metrics import accuracy_score
from ..base import OutlierMixin
class EllipticEnvelope(MinCovDet, OutlierMixin):
"""An object for detecting outliers in a Gaussian distrib... | {
"repo_name": "BiaDarkia/scikit-learn",
"path": "sklearn/covariance/elliptic_envelope.py",
"copies": "2",
"size": "7621",
"license": "bsd-3-clause",
"hash": 7518322883330183000,
"line_mean": 34.1198156682,
"line_max": 79,
"alpha_frac": 0.6213095394,
"autogenerated": false,
"ratio": 4.352370074243... |
__author__ = "vishvendra singh"
__version__ = 0.1
import sys
import os
import urllib
import basic_functions as bf
import dlsub
def print_msg(msg):
print_head()
print "msg: "+msg
cli_menu()
def cli_menu():
print "1. add folder to watch"
print "2. remove folder"
print "3. download subtitles"... | {
"repo_name": "darthvish/subtitle_automate",
"path": "main.py",
"copies": "1",
"size": "2833",
"license": "mit",
"hash": -7874948459626425000,
"line_mean": 20.1492537313,
"line_max": 90,
"alpha_frac": 0.5990116484,
"autogenerated": false,
"ratio": 3.870218579234973,
"config_test": false,
"has... |
__author__ = 'ViS'
import random
import math
import itertools
M = 10
class Individual:
def __init__(self, num, val, fitness):
self.num = num
self.val = val
self.fitness = M - fitness
class Population:
def __init__(self):
self.individuals = []
self.fitness_avg = 0
... | {
"repo_name": "slavik-m/genetic-algorithm",
"path": "src/python/genetic_algorithm.py",
"copies": "1",
"size": "7108",
"license": "mit",
"hash": -7957650740815945000,
"line_mean": 32.214953271,
"line_max": 118,
"alpha_frac": 0.5495216657,
"autogenerated": false,
"ratio": 3.9140969162995596,
"con... |
__author__ = 'Vitalii_Lebedynskyi'
import logging
import os
class UserExpandFileHandler(logging.StreamHandler):
"""
A handler class which writes formatted logging records to disk files.
"""
def __init__(self, filename, mode='a', encoding=None, delay=False):
"""
Open the specified file... | {
"repo_name": "vlebedynskyi/Automator",
"path": "tools/handlers.py",
"copies": "1",
"size": "2012",
"license": "apache-2.0",
"hash": -8662670393694546000,
"line_mean": 31.4677419355,
"line_max": 73,
"alpha_frac": 0.5780318091,
"autogenerated": false,
"ratio": 4.657407407407407,
"config_test": f... |
__author__ = 'Vitalyi'
import requests
class YandexDnsApi:
base_url = 'https://pddimp.yandex.ru/nsapi/'
def get_token(self, domain_name):
result = requests.get(self.base_url, params={'domain_name':domain_name})
pass
def add_a_record(self, domain, content, subdomain=None, ttl=None):
... | {
"repo_name": "tedor/yandex-dns-manager",
"path": "vendors/yandex_dns/api.py",
"copies": "1",
"size": "2134",
"license": "bsd-3-clause",
"hash": 5587070864063260000,
"line_mean": 25.9746835443,
"line_max": 112,
"alpha_frac": 0.6081651807,
"autogenerated": false,
"ratio": 3.611864406779661,
"con... |
__author__ = 'vitorio'
from bs4 import BeautifulSoup
from wand.image import Image
import os
import argparse
parser = argparse.ArgumentParser(description='Turn an hOCR file and a directory of JPEG2000 images into another directory of PNG images. This assumes an Internet Archive format set of JPEG2000 image names (name... | {
"repo_name": "vitorio/iaproofread",
"path": "iapr04-hocr2png.py",
"copies": "1",
"size": "1168",
"license": "cc0-1.0",
"hash": 79045488633023200,
"line_mean": 54.619047619,
"line_max": 223,
"alpha_frac": 0.6729452055,
"autogenerated": false,
"ratio": 3.191256830601093,
"config_test": false,
... |
__author__ = 'vitorio'
from bs4 import BeautifulSoup
import argparse
parser = argparse.ArgumentParser(description='Remove empty text-related markup from an hOCR file ("ocr_line" with no content, "ocr_carea" with no "ocr_line", "ocr_page" with no "ocr_line" or floats)')
parser.add_argument('hocrfile', help='The hOCR f... | {
"repo_name": "vitorio/iaproofread",
"path": "iapr04-hocrremoveempties.py",
"copies": "1",
"size": "1082",
"license": "cc0-1.0",
"hash": 6540733223925330000,
"line_mean": 42.32,
"line_max": 200,
"alpha_frac": 0.6395563771,
"autogenerated": false,
"ratio": 2.9643835616438357,
"config_test": fals... |
__author__ = 'vitorio'
from bs4 import BeautifulSoup
import csv
import cgi
import argparse
parser = argparse.ArgumentParser(description='Reconcile an original hOCR file and a list of Mechanical Turk CSVs with corrections.')
parser.add_argument('hocrfile', metavar='FILE', help='The unedited hOCR file to read from')
pa... | {
"repo_name": "vitorio/iaproofread",
"path": "iapr04-csv2hocr.py",
"copies": "1",
"size": "3016",
"license": "cc0-1.0",
"hash": -548263470305490800,
"line_mean": 37.6666666667,
"line_max": 148,
"alpha_frac": 0.574933687,
"autogenerated": false,
"ratio": 3.7142857142857144,
"config_test": false,... |
__author__ = 'vitorio'
from bs4 import BeautifulSoup
import csv
import cgi
import argparse
parser = argparse.ArgumentParser(description='Turn a corrected hOCR file into a Mechanical Turk CSV output file (Input.URL, Input.PAGE, Input.LINE, Input.OCR, Answer.answer, Answer.transcription).')
parser.add_argument('hocrfil... | {
"repo_name": "vitorio/iaproofread",
"path": "iapr04-hocr2outputcsv.py",
"copies": "1",
"size": "3497",
"license": "cc0-1.0",
"hash": -2716472194987142000,
"line_mean": 42.7125,
"line_max": 198,
"alpha_frac": 0.5973691736,
"autogenerated": false,
"ratio": 3.688818565400844,
"config_test": false... |
__author__ = 'vitorio'
from bs4 import BeautifulSoup
import csv
import cgi
import argparse
parser = argparse.ArgumentParser(description='Turn an hOCR file into a Mechanical Turk CSV input file (URL, PAGE, LINE, OCR). This assumes an Internet Archive format set of image names (name_0000.0.png).')
parser.add_argument('... | {
"repo_name": "vitorio/iaproofread",
"path": "iapr04-hocr2csv.py",
"copies": "1",
"size": "1125",
"license": "cc0-1.0",
"hash": -1273824746024407600,
"line_mean": 45.875,
"line_max": 205,
"alpha_frac": 0.6311111111,
"autogenerated": false,
"ratio": 3.4403669724770642,
"config_test": false,
"h... |
__author__ = 'vitorio'
from bs4 import BeautifulSoup
import os
import argparse
parser = argparse.ArgumentParser(description='Take an hOCR file and a directory of images and add the image names into the hOCR file. This assumes the directory has the same number of images as the hOCR file has pages, and they are in orde... | {
"repo_name": "vitorio/iaproofread",
"path": "iapr04-hocraddimages.py",
"copies": "1",
"size": "2098",
"license": "cc0-1.0",
"hash": 7564395242763357000,
"line_mean": 46.7045454545,
"line_max": 243,
"alpha_frac": 0.692564347,
"autogenerated": false,
"ratio": 3.15015015015015,
"config_test": fal... |
__author__ = 'vitorio'
from lxml import etree
import os
import argparse
# from ocropodium ocradmin/nodelib/utils.py
# Apache License 2.0
def hocr_from_abbyy(abbyyxml, xsltfile):
"""
Apply some XSL to transform Abbyy XML to HOCR.
"""
with open(os.path.join(os.path.dirname(__file__), xsltfile), "r") as ... | {
"repo_name": "vitorio/iaproofread",
"path": "iapr04-abbyy2hocr.py",
"copies": "1",
"size": "1190",
"license": "cc0-1.0",
"hash": -453155807586322240,
"line_mean": 43.1111111111,
"line_max": 249,
"alpha_frac": 0.6966386555,
"autogenerated": false,
"ratio": 3.005050505050505,
"config_test": fals... |
__author__ = 'vitorio'
from xml.dom import minidom
import os.path
import pickle
import PythonMagick
import jinja2
IA_NAME = 'windinwillows00grah'
# IA_NAME = 'artpracticeoftyp00gres'
# IA_NAME = 'manualoflinotype00merg'
# must already exist
OUTPUT_FOLDER = 'iapr'
djvuxml = minidom.parse('%s_djvu.xml' % IA_NAME)
# ... | {
"repo_name": "vitorio/iaproofread",
"path": "iaproofread03.py",
"copies": "1",
"size": "1899",
"license": "cc0-1.0",
"hash": 4493866031327866400,
"line_mean": 34.1666666667,
"line_max": 102,
"alpha_frac": 0.6482359136,
"autogenerated": false,
"ratio": 3.4908088235294117,
"config_test": false,
... |
__author__ = 'vitorio'
from xml.dom import minidom
import os.path
import pickle
#IA_NAME = 'windinwillows00grah'
#IA_NAME = 'artpracticeoftyp00gres'
#IA_NAME = 'manualoflinotype00merg'
IA_NAME = 'glimpsesofworldp00stod'
# must already exist
OUTPUT_FOLDER = 'iapr'
djvuxml = minidom.parse('%s_djvu.xml' % IA_NAME)
# ... | {
"repo_name": "vitorio/iaproofread",
"path": "iaproofread03-brittlenames.py",
"copies": "1",
"size": "1315",
"license": "cc0-1.0",
"hash": 652880839129213400,
"line_mean": 32.7179487179,
"line_max": 102,
"alpha_frac": 0.6653992395,
"autogenerated": false,
"ratio": 3.230958230958231,
"config_tes... |
__author__ = 'vitorio'
from xml.dom import minidom
import os.path
import PythonMagick
IA_NAME = 'windinwillows00grah'
# IA_NAME = 'artpracticeoftyp00gres'
# IA_NAME = 'manualoflinotype00merg'
djvuxml = minidom.parse('%s_djvu.xml' % IA_NAME)
# apparently case-sensitive, is this something I have to account for someho... | {
"repo_name": "vitorio/iaproofread",
"path": "iaproofread02.py",
"copies": "1",
"size": "3245",
"license": "cc0-1.0",
"hash": 3592362242502495000,
"line_mean": 40.6025641026,
"line_max": 113,
"alpha_frac": 0.5707241911,
"autogenerated": false,
"ratio": 3.6749716874292186,
"config_test": false,
... |
__author__ = 'vitorio'
import os
import djvu.decode
def _get_text(sexpr, level=0):
txt=''
if (isinstance(sexpr, djvu.sexpr.ListExpression) and len(sexpr) !=0):
txt = ''
for child in sexpr[5:]:
txt = txt + _get_text(child, level + 1)
return txt
else:
txt = str(se... | {
"repo_name": "vitorio/iaproofread",
"path": "iaproofread01.py",
"copies": "1",
"size": "2294",
"license": "cc0-1.0",
"hash": -5415250500534145000,
"line_mean": 25.0795454545,
"line_max": 75,
"alpha_frac": 0.5775937228,
"autogenerated": false,
"ratio": 3.1685082872928176,
"config_test": false,
... |
__author__ = 'vitor'
from django.conf import settings
from django.core.mail import send_mail
from collections import defaultdict
import string
def enviar_email(obj):
email_assunto = settings.EMAIL_SUBJECT
habilidades = get_usuario_habilidades(obj)
if habilidades:
for habilidade in h... | {
"repo_name": "vitorh45/avaliacao",
"path": "apps/core/utils.py",
"copies": "1",
"size": "1103",
"license": "apache-2.0",
"hash": -5702407708198633000,
"line_mean": 34.6129032258,
"line_max": 93,
"alpha_frac": 0.6536718042,
"autogenerated": false,
"ratio": 3.1695402298850577,
"config_test": fal... |
__author__ = 'vitor'
from django.test import TestCase
from django.core.urlresolvers import reverse as r
from django.core import mail
class AvaliacaoEmailTest(TestCase):
def test_receive_front_end_email(self):
data = {'nome': 'Vitor Hugo Campos', 'email': 'vitorh45@gmail.com', 'html_c':8, 'css_c':9, 'java... | {
"repo_name": "vitorh45/avaliacao",
"path": "apps/core/tests/test_emails.py",
"copies": "1",
"size": "1453",
"license": "apache-2.0",
"hash": 5468025899180702000,
"line_mean": 44.4375,
"line_max": 117,
"alpha_frac": 0.6235375086,
"autogenerated": false,
"ratio": 3.0207900207900207,
"config_test... |
__author__ = 'vitor'
from models import User, UserFavorite, Magazine, Feed, Category
import json
import requests
import memcache
from settings import SOLR_URL, CACHES
from django.http import HttpResponse
# Finds an user by a given email.
def user_find_by_email(email):
try:
user = User.objects.get(email=e... | {
"repo_name": "Infobase/pulsemob_webservices",
"path": "pulsemob_webservices/webservices/services.py",
"copies": "2",
"size": "3432",
"license": "bsd-2-clause",
"hash": 1842581619119125800,
"line_mean": 31.0841121495,
"line_max": 223,
"alpha_frac": 0.6325757576,
"autogenerated": false,
"ratio": 3... |
__author__ = 'Vivan'
from api import Api
class Uber(Api):
"""
Class holding all Uber API calls. Inherits from the base API class.
This class is used to provide access to all the API calls which are abstracted as methods.
"""
def __init__(self, client_id, server_token, secret):
"""
... | {
"repo_name": "vivangkumar/uberpy",
"path": "uberpy/uber.py",
"copies": "1",
"size": "4101",
"license": "mit",
"hash": -6259783032311669000,
"line_mean": 39.2156862745,
"line_max": 102,
"alpha_frac": 0.6337478664,
"autogenerated": false,
"ratio": 4.404940923737916,
"config_test": false,
"has_... |
__author__ = 'Vivan'
import json
from httplib2 import Http
from urllib.parse import urlencode
from errors import (
UnauthorisedException, MalformedRequestException, InvalidRequestException,
UnacceptableContentException, NotFoundException, RateLimitException, ServerException, UberpyException
)
class Api(obje... | {
"repo_name": "vivangkumar/uberpy",
"path": "uberpy/api.py",
"copies": "1",
"size": "4779",
"license": "mit",
"hash": -5908086984990954000,
"line_mean": 33.6304347826,
"line_max": 105,
"alpha_frac": 0.6325591128,
"autogenerated": false,
"ratio": 4.577586206896552,
"config_test": false,
"has_n... |
__author__ = 'Vivan'
'''
This file contains a list of all exceptions that can be thrown by the API.
'''
class UnauthorisedException(Exception):
"""
Exception for requests that are being used with out appropriate authorisation.
"""
def __init__(self, message, http_response):
super(Unauthorise... | {
"repo_name": "vivangkumar/uberpy",
"path": "uberpy/errors.py",
"copies": "1",
"size": "2950",
"license": "mit",
"hash": 1424072482350777000,
"line_mean": 23.5916666667,
"line_max": 115,
"alpha_frac": 0.6383050847,
"autogenerated": false,
"ratio": 4.4832826747720365,
"config_test": false,
"ha... |
__author__ = "Vivek Balasubramanian <vivek.balasubramanian@rutgers.edu>"
__copyright__ = "Copyright 2017, http://radical.rutgers.edu"
__license__ = "MIT"
class EnTKError(Exception):
"""EnTKError is the base exception thrown by the Ensemble Toolkit"""
def __init__ (self, msg):
super(EnTKError, self... | {
"repo_name": "vivek-bala/radical.entk-0.6",
"path": "src/radical/entk/exceptions.py",
"copies": "2",
"size": "3212",
"license": "mit",
"hash": 4223345816536017400,
"line_mean": 31.13,
"line_max": 115,
"alpha_frac": 0.5747198007,
"autogenerated": false,
"ratio": 3.9605425400739827,
"config_test... |
__author__ = "Vivek Balasubramanian <vivek.balasubramanian@rutgers.edu>"
__copyright__ = "Copyright 2017, http://radical.rutgers.edu"
__license__ = "MIT"
# pylint: disable=useless-super-delegation
class EnTKError(Exception):
"""EnTKError is the generic exception type used by EnTK -- exception arg
messages are... | {
"repo_name": "radical-cybertools/radical.ensemblemd",
"path": "src/radical/entk/exceptions.py",
"copies": "1",
"size": "2390",
"license": "mit",
"hash": 5499520869487663000,
"line_mean": 30.038961039,
"line_max": 102,
"alpha_frac": 0.5640167364,
"autogenerated": false,
"ratio": 4.03035413153457,... |
__author__ = 'vivek'
import time
from fractions import gcd
import math
#--- In Progress. ---#
startTime = time.clock()
prime_numbers = []
def isPrime(number) :
if number < 0:
return 0
elif number == 2 or number == 3 :
return 1
elif number % 2 == 0 or number % 3 ==0 or number == 1 :
... | {
"repo_name": "vivekpabani/projecteuler",
"path": "python/243/problem_243a.py",
"copies": "1",
"size": "1485",
"license": "apache-2.0",
"hash": 994667278765045400,
"line_mean": 23.3442622951,
"line_max": 72,
"alpha_frac": 0.5562289562,
"autogenerated": false,
"ratio": 3.604368932038835,
"config... |
__author__ = 'vivek'
import time
def check_pandigital(number_s):
if '0' not in number_s and len(number_s) == 9 and len(number_s) == len(''.join(set(number_s))):
return 1
else:
return 0
def main():
start_time = time.clock()
one_d = [i for i in xrange(1, 10)]
two_d = [i for i i... | {
"repo_name": "vivekpabani/projecteuler",
"path": "python/038/problem_038.py",
"copies": "1",
"size": "1201",
"license": "apache-2.0",
"hash": -9137620281721964000,
"line_mean": 26.9534883721,
"line_max": 105,
"alpha_frac": 0.5120732723,
"autogenerated": false,
"ratio": 3.025188916876574,
"conf... |
__author__ = 'vivek'
'''
Purpose : This file is executed by each of the compute units in the
simulation stage. Uses the arguments to create a bash script
which is executed on the remote machine to perform the
gromacs simulation.
Arguments : --mdp = name of the gromacs parameter f... | {
"repo_name": "radical-cybertools/ExTASY",
"path": "examples/grlsd-on-archer/helper_scripts/run.py",
"copies": "1",
"size": "4047",
"license": "mit",
"hash": -4253916762966087000,
"line_mean": 26.7191780822,
"line_max": 85,
"alpha_frac": 0.5127254757,
"autogenerated": false,
"ratio": 3.6263440860... |
__author__ = 'vivek'
'''
Purpose : This file is used to split the large input coordinate file into
smaller coordinate files that can are executed on by each compute unit.
It uses the gro.py file to get the specifics of the system in question.
Arguments : num_tasks = number of compute units
... | {
"repo_name": "radical-cybertools/ExTASY",
"path": "examples/grlsd-adaptive-on-archer/helper_scripts/spliter.py",
"copies": "2",
"size": "1520",
"license": "mit",
"hash": 4817268808058966000,
"line_mean": 30.6666666667,
"line_max": 94,
"alpha_frac": 0.5789473684,
"autogenerated": false,
"ratio": ... |
__author__ = 'Vixus'
from riotwatcher import RiotWatcher
w = RiotWatcher('eda1ed56-6ae8-41bf-97b7-acaa970537dc')
# check if we have API calls remaining
print(w.can_make_request())
me = w.get_summoner(name='vixus360')
print(me)
# championList = w.static_get_champion_list()
# print championList
# print w.get_champion... | {
"repo_name": "Vixus/LoLAPI",
"path": "testcode.py",
"copies": "1",
"size": "2350",
"license": "mit",
"hash": 2706632983823544000,
"line_mean": 29.5324675325,
"line_max": 90,
"alpha_frac": 0.6493617021,
"autogenerated": false,
"ratio": 2.997448979591837,
"config_test": false,
"has_no_keywords... |
__author__ = 'vjmor_000'
import os
import urllib
import csv
import types
from google.appengine.api import users
from google.appengine.ext import ndb
import jinja2
import webapp2
from baseRequestHandler import BaseRequestHandler
from ndbEntityDefs import Project
from ndbEntityDefs import Character
from ndbEntityDefs ... | {
"repo_name": "Vjmorrison/ClassroomQuest",
"path": "signup.py",
"copies": "1",
"size": "2412",
"license": "mit",
"hash": -5118063189830015000,
"line_mean": 29.5316455696,
"line_max": 83,
"alpha_frac": 0.6239635158,
"autogenerated": false,
"ratio": 4.095076400679117,
"config_test": false,
"has... |
__author__ = 'vjmor_000'
import os
import urllib
import datetime
from google.appengine.api import users
from google.appengine.ext import ndb
import jinja2
import webapp2
import logging
from baseRequestHandler import BaseRequestHandler
from ndbEntityDefs import Character
from ndbEntityDefs import SubmittedProject
fro... | {
"repo_name": "Vjmorrison/ClassroomQuest",
"path": "admin.py",
"copies": "1",
"size": "9349",
"license": "mit",
"hash": -5034109469323290000,
"line_mean": 35.3813229572,
"line_max": 196,
"alpha_frac": 0.6090490962,
"autogenerated": false,
"ratio": 4.294441892512632,
"config_test": false,
"has... |
__author__ = 'vjmor_000'
import os
import urllib
from google.appengine.api import users
from google.appengine.ext import ndb
from ndbEntityDefs import Character
import jinja2
import webapp2
from ConfigParser import ConfigParser
class BaseRequestHandler(webapp2.RequestHandler):
CONFIG_FILE = ConfigParser()
... | {
"repo_name": "Vjmorrison/ClassroomQuest",
"path": "baseRequestHandler.py",
"copies": "1",
"size": "3938",
"license": "mit",
"hash": -791827840711602700,
"line_mean": 33.252173913,
"line_max": 118,
"alpha_frac": 0.623666836,
"autogenerated": false,
"ratio": 4.026584867075664,
"config_test": tru... |
__author__ = 'vjmor_000'
import types
import csv
import math
from google.appengine.ext import ndb
class Character(ndb.Model):
username = ndb.StringProperty()
fullName = ndb.StringProperty()
xp = ndb.IntegerProperty()
level = ndb.IntegerProperty()
numProjects = ndb.IntegerProperty()
currentPr... | {
"repo_name": "Vjmorrison/ClassroomQuest",
"path": "ndbEntityDefs.py",
"copies": "1",
"size": "9342",
"license": "mit",
"hash": 6101681498714303000,
"line_mean": 30.8839590444,
"line_max": 195,
"alpha_frac": 0.6256690216,
"autogenerated": false,
"ratio": 4.042405884898312,
"config_test": false,... |
__author__ = 'vladimir'
from collections import OrderedDict
import traceback
import ujson
from flask import Blueprint, request
from . import *
from .database import update_query, select_query
from .user import get_user_profile, prepare_profiles
forum_blueprint = Blueprint("forum", __name__, url_prefix="forum")
@... | {
"repo_name": "d3QUone/db_api",
"path": "blueprints/forum.py",
"copies": "1",
"size": "15539",
"license": "mit",
"hash": -2552295630200011300,
"line_mean": 41.5726027397,
"line_max": 114,
"alpha_frac": 0.4590385482,
"autogenerated": false,
"ratio": 4.066736456425019,
"config_test": false,
"ha... |
__author__ = 'vladimir'
from collections import OrderedDict
import traceback
import ujson
from flask import Blueprint, request
from . import *
from .database import update_query, select_query
user_blueprint = Blueprint("user", __name__, url_prefix="user")
# actually this is get_or_create method
@user_blueprint.r... | {
"repo_name": "d3QUone/db_api",
"path": "blueprints/user.py",
"copies": "1",
"size": "12667",
"license": "mit",
"hash": 5942831885124844000,
"line_mean": 33.704109589,
"line_max": 119,
"alpha_frac": 0.5337491119,
"autogenerated": false,
"ratio": 3.687627365356623,
"config_test": false,
"has_n... |
__author__ = 'vladimir'
import pymysql
from pymysql import InternalError
def get_connection():
return pymysql.connect(
host='localhost',
user='root',
password='',
db='forumdb',
charset='utf8',
cursorclass=pymysql.cursors.DictCursor
)
# InternalError: (1205, u... | {
"repo_name": "d3QUone/db_api",
"path": "blueprints/database.py",
"copies": "1",
"size": "1555",
"license": "mit",
"hash": 7102717014884208000,
"line_mean": 27.2727272727,
"line_max": 96,
"alpha_frac": 0.6231511254,
"autogenerated": false,
"ratio": 3.756038647342995,
"config_test": false,
"ha... |
__author__ = 'vladimir'
import traceback
import ujson
from flask import Blueprint, request
from . import *
from .database import update_query, select_query
from .user import get_user_profile
thread_blueprint = Blueprint("thread_blueprint", __name__, url_prefix="thread")
@thread_blueprint.route("/create/", method... | {
"repo_name": "d3QUone/db_api",
"path": "blueprints/thread.py",
"copies": "1",
"size": "17562",
"license": "mit",
"hash": -6440187867061378000,
"line_mean": 32.1984877127,
"line_max": 158,
"alpha_frac": 0.4973807083,
"autogenerated": false,
"ratio": 3.639038541234977,
"config_test": false,
"h... |
__author__ = 'vladimir'
import traceback
import ujson
from flask import Blueprint, request
from . import *
from .database import update_query, select_query
post_blueprint = Blueprint("post", __name__, url_prefix="post")
@post_blueprint.route("/create/", methods=["POST"])
def create():
try:
params = r... | {
"repo_name": "d3QUone/db_api",
"path": "blueprints/post.py",
"copies": "1",
"size": "14886",
"license": "mit",
"hash": 6964371697894078000,
"line_mean": 34.7836538462,
"line_max": 216,
"alpha_frac": 0.4672175198,
"autogenerated": false,
"ratio": 3.8887147335423196,
"config_test": false,
"has... |
__author__ = 'vladimir'
import ujson
from flask import Flask
from blueprints.database import update_query, select_query
from blueprints.forum import forum_blueprint
from blueprints.post import post_blueprint
from blueprints.user import user_blueprint
from blueprints.thread import thread_blueprint
app = Flask("db-ap... | {
"repo_name": "d3QUone/db_api",
"path": "app.py",
"copies": "1",
"size": "1814",
"license": "mit",
"hash": -2590965052305288700,
"line_mean": 29.7457627119,
"line_max": 95,
"alpha_frac": 0.6168687982,
"autogenerated": false,
"ratio": 3.3406998158379375,
"config_test": false,
"has_no_keywords"... |
import numpy as np
from sklearn.utils.testing import assert_raises
from sklearn.utils.testing import assert_true
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing import assert_warn... | {
"repo_name": "chaluemwut/fbserver",
"path": "venv/lib/python2.7/site-packages/sklearn/linear_model/tests/test_omp.py",
"copies": "1",
"size": "8244",
"license": "apache-2.0",
"hash": 5674632861510036000,
"line_mean": 36.9907834101,
"line_max": 78,
"alpha_frac": 0.6263949539,
"autogenerated": false... |
import sys
import pytest
import numpy as np
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing import assert_allclose
from sklearn.utils.testing import if_safe_multiprocessing_with_blas
from sklearn.decomposition import SparsePCA, MiniBatchSparsePCA, PCA
from sklearn.utils import... | {
"repo_name": "chrsrds/scikit-learn",
"path": "sklearn/decomposition/tests/test_sparse_pca.py",
"copies": "2",
"size": "7777",
"license": "bsd-3-clause",
"hash": -4439829493386850300,
"line_mean": 36.0333333333,
"line_max": 79,
"alpha_frac": 0.630834512,
"autogenerated": false,
"ratio": 3.1132906... |
import sys
import numpy as np
from sklearn.decomposition import SparsePCA, MiniBatchSparsePCA
from sklearn.utils import check_random_state
from sklearn.utils.testing import SkipTest
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.test... | {
"repo_name": "DailyActie/Surrogate-Model",
"path": "01-codes/scikit-learn-master/sklearn/decomposition/tests/test_sparse_pca.py",
"copies": "1",
"size": "6027",
"license": "mit",
"hash": -128105871463702880,
"line_mean": 36.4347826087,
"line_max": 79,
"alpha_frac": 0.6338145014,
"autogenerated": f... |
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