text stringlengths 0 1.05M | meta dict |
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__author__ = 'Dimitry Lvovsky, dimitry@reviewpro.com'
# Copyright 2014 ReviewRank S.A ( ReviewPro )
#
# 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/... | {
"repo_name": "reviewpro/connect_py",
"path": "connect_py/Connect.py",
"copies": "2",
"size": "11039",
"license": "apache-2.0",
"hash": 7024644343435339000,
"line_mean": 44.2418032787,
"line_max": 169,
"alpha_frac": 0.6139143038,
"autogenerated": false,
"ratio": 3.5438202247191013,
"config_test... |
__author__ = 'Dimitry Lvovsky'
# Copyright 2014 ReviewRank S.A ( ReviewPro )
#
# 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
#
... | {
"repo_name": "reviewpro/connect_py",
"path": "examples/python_csq_example.py",
"copies": "2",
"size": "1630",
"license": "apache-2.0",
"hash": 3053947922044047400,
"line_mean": 31.6,
"line_max": 78,
"alpha_frac": 0.5374233129,
"autogenerated": false,
"ratio": 3.918269230769231,
"config_test": ... |
# This script considers all the products a user has ordered
#
# We train a model computing the probability of reorder on the "train" data
#
# For the submission, we keep the orders that have a probability of
# reorder higher than a threshold
import tempfile
import numpy as np
import pandas as pd
import lightgbm as l... | {
"repo_name": "ifuding/Kaggle",
"path": "Instacart/Code/fd_keras.py",
"copies": "1",
"size": "34543",
"license": "apache-2.0",
"hash": -7010696433914318000,
"line_mean": 38.6135321101,
"line_max": 159,
"alpha_frac": 0.6095591003,
"autogenerated": false,
"ratio": 3.122107736804049,
"config_test"... |
__author__ = 'dipsingh'
import json
import socket
import gevent
import pcep_handler
import te_controller
import json
from gevent import monkey
monkey.patch_socket()
MAXCLIENTS = 10
PCEADDR='0.0.0.0'
PCEPORT=4189
def parse_config(pce_config_file):
SR_TE = False
TunnelName =''
ERO_LIST = list() # ERO List
... | {
"repo_name": "Dipsingh/mpls-pce",
"path": "pce_controller.py",
"copies": "1",
"size": "4286",
"license": "mit",
"hash": -5891687146532034000,
"line_mean": 39.0560747664,
"line_max": 147,
"alpha_frac": 0.5863275782,
"autogenerated": false,
"ratio": 3.3020030816640986,
"config_test": false,
"h... |
__author__ = 'dipsingh'
import socket
import mpls_lsp_pb2
import struct
class TEController(object):
def __init__(self):
self._lsp_dict = dict()
self._lsp_delg_dict = dict()
self._srpid = 1
def ip2int(self, addr):
return struct.unpack_from("!I", socket.inet_aton(addr))[0]
... | {
"repo_name": "Dipsingh/mpls-pce",
"path": "te_controller.py",
"copies": "1",
"size": "5174",
"license": "mit",
"hash": -3927052680769859000,
"line_mean": 46.4678899083,
"line_max": 195,
"alpha_frac": 0.5048318516,
"autogenerated": false,
"ratio": 3.066982809721399,
"config_test": false,
"has... |
__author__ = 'dipsingh'
import string
import struct
import socket
import binascii
import json
class PCEP(object):
""" 6.1. Common Header
0 1 2 3
0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1
+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-... | {
"repo_name": "Dipsingh/mpls-pce",
"path": "pcep_handler.py",
"copies": "1",
"size": "35570",
"license": "mit",
"hash": -2567897749900257300,
"line_mean": 45.4967320261,
"line_max": 177,
"alpha_frac": 0.4388810796,
"autogenerated": false,
"ratio": 3.506852016168786,
"config_test": false,
"has... |
__author__ = 'disaster'
import cattle
import logging
from fr.webcenter.backup.Singleton import Singleton
logger = logging
class Rancher(object):
"""
This class provide helper for Rancher API.
"""
__metaclass__ = Singleton
def __init__(self, url=None, key=None, secret=None):
"""
I... | {
"repo_name": "rufusl/rancher-backup",
"path": "backup/src/fr/webcenter/backup/Rancher.py",
"copies": "1",
"size": "4305",
"license": "mit",
"hash": -5209396737259590000,
"line_mean": 34.875,
"line_max": 296,
"alpha_frac": 0.5825783972,
"autogenerated": false,
"ratio": 4.379450661241099,
"confi... |
__author__ = 'disaster'
import re
import logging
import os
from fr.webcenter.backup.Command import Command
from fr.webcenter.backup.Singleton import Singleton
from fr.webcenter.backup.Config import Config
from jinja2 import Environment
import yaml
logger = logging
class Backup(object):
"""
This class permit ... | {
"repo_name": "disaster37/rancher-backup",
"path": "backup/src/fr/webcenter/backup/Backup.py",
"copies": "1",
"size": "14392",
"license": "mit",
"hash": 2766996562573457000,
"line_mean": 41.9611940299,
"line_max": 263,
"alpha_frac": 0.5832406893,
"autogenerated": false,
"ratio": 4.684895833333333... |
__author__ = 'disaster'
import yaml
import glob
import logging
from fr.webcenter.backup.Singleton import Singleton
from jinja2 import Environment
logger = logging
class Config(object):
__metaclass__ = Singleton
def __init__(self, path=None):
"""
Permit to load all settings
:param pa... | {
"repo_name": "rufusl/rancher-backup",
"path": "backup/src/fr/webcenter/backup/Config.py",
"copies": "2",
"size": "2746",
"license": "mit",
"hash": 1122433631715465100,
"line_mean": 27.6041666667,
"line_max": 71,
"alpha_frac": 0.5863073562,
"autogenerated": false,
"ratio": 4.509031198686371,
"c... |
__author__ = 'divya'
import pandas as pd
import pandas.io.data
import math
import matplotlib.pyplot as plt
import os
class DataHandler:
def __init__(self):
pass
def fetch_data_from_yahoo(self, symbol, start, end):
df = pandas.io.data.get_data_yahoo(symbol, start, end)
return df
... | {
"repo_name": "abhipr1/DATA_SCIENCE_INTENSIVE",
"path": "Capstone/DataHandler.py",
"copies": "1",
"size": "2049",
"license": "apache-2.0",
"hash": 3019294452824125400,
"line_mean": 32.0483870968,
"line_max": 98,
"alpha_frac": 0.5212298682,
"autogenerated": false,
"ratio": 3.5572916666666665,
"c... |
__author__ = 'djff'
'''
load_step_2_Dec29_2016.py is a python script that is used
to load CV's and structure data in the sqlite
database.
it uses xlrd to handle the xlsx files, load, read
data and workbook sheets from the file.
'''
from step_variables import *
from setup import *
# *************... | {
"repo_name": "amabdallah/test2",
"path": "2016/load_step_2_Adel_edits.py",
"copies": "1",
"size": "9565",
"license": "bsd-3-clause",
"hash": -6757132270796878000,
"line_mean": 45.6585365854,
"line_max": 118,
"alpha_frac": 0.4647151072,
"autogenerated": false,
"ratio": 4.702556538839724,
"confi... |
__author__ = 'djff'
'''
load_step_3_Jan3_2017.py is a python script that is used
to load CV's and Networks data in the sqlite
database.
it uses xlrd to handle the xlsx files, load, read
data and workbook sheets from the file.
'''
from setup import *
from step_variables import Network_sheets_ordere... | {
"repo_name": "amabdallah/test2",
"path": "2016/load_step_3_Adel.py",
"copies": "1",
"size": "5127",
"license": "bsd-3-clause",
"hash": -5130461168733958000,
"line_mean": 48.2980769231,
"line_max": 84,
"alpha_frac": 0.4538716598,
"autogenerated": false,
"ratio": 4.963213939980639,
"config_test"... |
__author__ = 'djff'
'''
load_step_4.py is a python script that is used
to load some CV's of Data Values to the sqlite
database.
it uses xlrd to handle the xlsx files, load, read
data and workbook sheets from the file.
'''
from setup import *
from step_variables import DataValues_ordered
class Lo... | {
"repo_name": "amabdallah/test2",
"path": "2016/load_step_4_Adel.py",
"copies": "1",
"size": "2956",
"license": "bsd-3-clause",
"hash": -8566095208975121000,
"line_mean": 45.1875,
"line_max": 87,
"alpha_frac": 0.4837618403,
"autogenerated": false,
"ratio": 4.519877675840979,
"config_test": fals... |
__author__ = 'djff'
'''
load_step_one.py is a python script that is used
to load CV's and structure data in the sqlite
database.
it uses xlrd to handle the xlsx files, load, read
data and workbook sheets from the file.
'''
from step_variables import *
from setup import *
# **********************... | {
"repo_name": "amabdallah/test2",
"path": "2016/Dec26/load_step_one_Dec26.py",
"copies": "1",
"size": "9187",
"license": "bsd-3-clause",
"hash": 8144075151105460000,
"line_mean": 43.8146341463,
"line_max": 118,
"alpha_frac": 0.4544465005,
"autogenerated": false,
"ratio": 4.820041972717734,
"con... |
__author__ = 'djff'
# Sheet Names for step 1 loading in order of dependency, independent to dependent.
metadata_sheets_ordered = ['StaticCVs', '1.1_Organiz&People', '1.2_Sources', '1.3_Methods']
# Sheet Names for step 2 loading in order of dependency independent to dependent.
cv_sheets_ordered = ['ObjectCategory... | {
"repo_name": "amabdallah/test2",
"path": "2016/step_variables_Adel.py",
"copies": "1",
"size": "1094",
"license": "bsd-3-clause",
"hash": 4099227457385383000,
"line_mean": 34.2903225806,
"line_max": 108,
"alpha_frac": 0.6617915905,
"autogenerated": false,
"ratio": 3.305135951661631,
"config_te... |
__author__ = "djJfunk <J. Michael Burgess>"
from astromodels.functions.functions import DiracDelta, StepFunctionUpper
import numpy as np
def step_generator(intervals, parameter):
"""
Generates sum of step or dirac delta functions for the given intervals
and parameter. This can be used to link time-indep... | {
"repo_name": "volodymyrss/3ML",
"path": "threeML/utils/step_parameter_generator.py",
"copies": "1",
"size": "2908",
"license": "bsd-3-clause",
"hash": 995743601363566300,
"line_mean": 25.6788990826,
"line_max": 81,
"alpha_frac": 0.6317056396,
"autogenerated": false,
"ratio": 4.033287101248266,
... |
__author__ = 'djstava'
#!/usr/bin/env python
#coding=utf-8
import getopt
import sys
def dj_commandLine_parse():
for str in sys.argv:
print str
try:
opts, args = getopt.getopt(sys.argv[1:], "ho:v", ["help", "output="])
except getopt.GetoptError, err:
# print help information and e... | {
"repo_name": "djstavaRT/PythonSnippets",
"path": "dj_commandLine.py",
"copies": "1",
"size": "1036",
"license": "mit",
"hash": -6283396284005759000,
"line_mean": 23.6904761905,
"line_max": 77,
"alpha_frac": 0.5540540541,
"autogenerated": false,
"ratio": 3.6223776223776225,
"config_test": false... |
__author__ = 'djstava'
#!/usr/bin/env python
# -*- coding:utf-8 -*-
import os
import sys
import re
import string
import telnetlib
import sqlite3
import codecs
from time import ctime,sleep
import threading
import socket
import logging
logging.getLogger("scapy.runtime").setLevel(logging.ERROR)
from scapy.all import *
... | {
"repo_name": "djstavaRT/PythonSnippets",
"path": "lj_rescue.py",
"copies": "1",
"size": "4670",
"license": "mit",
"hash": -3367779426714580500,
"line_mean": 26.9640718563,
"line_max": 199,
"alpha_frac": 0.5426124197,
"autogenerated": false,
"ratio": 3.3767172812725956,
"config_test": false,
... |
__author__ = 'djstava'
#!/usr/bin/env python
# -*- coding: utf-8 -*
import sqlite3
def dj_sqlite3():
conn = sqlite3.connect('test.db')
cursor = conn.cursor()
#create
cursor.execute('''create table catalog(
id integer primary key,
pid integer,
name varchar(10) unique
... | {
"repo_name": "djstavaRT/PythonSnippets",
"path": "dj_sqlite3.py",
"copies": "1",
"size": "1169",
"license": "mit",
"hash": 2655812813501244400,
"line_mean": 15.4647887324,
"line_max": 61,
"alpha_frac": 0.5851154833,
"autogenerated": false,
"ratio": 3.770967741935484,
"config_test": false,
"h... |
__author__ = 'djstava'
#!/usr/bin/env python
# -*- coding: utf-8 -*
import wx
import telnetlib
DJ_AUTOTESTFORIPLOADER_LOG = "log.txt"
class DJMainFrame(wx.Frame):
def __init__(self,parent,id,title,pos,size):
wx.Frame.__init__(self,parent,id,title,pos,size)
self.panel = wx.Panel(self)
se... | {
"repo_name": "djstavaRT/PythonSnippets",
"path": "dj_autoTestForIploader.py",
"copies": "1",
"size": "6604",
"license": "mit",
"hash": -4200175521282728400,
"line_mean": 33.9470899471,
"line_max": 124,
"alpha_frac": 0.6244700182,
"autogenerated": false,
"ratio": 3.5678011885467313,
"config_tes... |
__author__ = 'djw'
class FieldNodeItem(object):
"""
An item built on a player's field board, held within a node/cell on that board
"""
def __init__(self):
self.cattle = 0
self.boars = 0
self.sheep = 0
self.grain = 0
self.vegetables = 0
def update_animals(s... | {
"repo_name": "sourlows/pyagricola",
"path": "src/field/node_item.py",
"copies": "1",
"size": "3158",
"license": "mit",
"hash": -3689722559803308500,
"line_mean": 24.272,
"line_max": 97,
"alpha_frac": 0.5668144395,
"autogenerated": false,
"ratio": 4.017811704834606,
"config_test": false,
"has... |
__author__ = 'dkador'
class BaseKeenClientError(Exception):
"""
Base class for all Keen Client errors.
"""
def __str__(self):
# all sub-classes should set self._message in their initializers
return self._message
class InvalidProjectIdError(BaseKeenClientError):
def __init__(self... | {
"repo_name": "harshita-gupta/Harvard-FRSEM-Catalog-2016-17",
"path": "flask/lib/python2.7/site-packages/keen/exceptions.py",
"copies": "4",
"size": "1602",
"license": "mit",
"hash": -25245506485995230,
"line_mean": 36.2790697674,
"line_max": 103,
"alpha_frac": 0.6360799001,
"autogenerated": false,... |
__author__ = 'dkarchmer'
import pytz
from django.utils import timezone
class TimezoneMiddleware:
def __init__(self, get_response):
self.get_response = get_response
# One-time configuration and initialization.
def __call__(self, request):
# Code to be executed for each request before
... | {
"repo_name": "dkarchmer/django-aws-template",
"path": "server/apps/utils/timezoneMiddleware.py",
"copies": "1",
"size": "1032",
"license": "mit",
"hash": -3409893466192614000,
"line_mean": 27.6666666667,
"line_max": 80,
"alpha_frac": 0.601744186,
"autogenerated": false,
"ratio": 4.71232876712328... |
__author__ = 'dkarchmer'
"""
See https://gist.github.com/dkarchmer/d85e55f9ed5450ba58cb
This API generically supports DjangoRestFramework based APIs
It is based on https://github.com/samgiles/slumber, but customized for
Django Rest Frameworks, and the use of TokenAuthentication.
Usage:
# Assuming
# v1_api_rout... | {
"repo_name": "dkarchmer/django-rest-framework-client",
"path": "drf_client/connection.py",
"copies": "1",
"size": "9566",
"license": "mit",
"hash": -1028399164020417000,
"line_mean": 32.3344947735,
"line_max": 119,
"alpha_frac": 0.5789253607,
"autogenerated": false,
"ratio": 3.9792013311148087,
... |
__author__ = 'dkov'
from pdf.lex import *
class Pdf:
def __init__(self):
self.header = ''
self.objects = {}
self.trailer = None
self.xref = {}
def load(self, objects):
self.header = objects[0]
for object in objects:
if isinstance(object, Indirect):... | {
"repo_name": "dkov01/pypdf",
"path": "pdf/pdf.py",
"copies": "1",
"size": "2820",
"license": "bsd-3-clause",
"hash": -8702781687323489000,
"line_mean": 28.0824742268,
"line_max": 117,
"alpha_frac": 0.4893617021,
"autogenerated": false,
"ratio": 3.7154150197628457,
"config_test": false,
"has_... |
__author__ = 'dkov'
import pdf
import pdf.lex
import pdf.testdata
import pdf.filter
from pdf.pdf import Pdf, Update
def list_of_lists(list_of_ints):
if list_of_ints == []:
return []
it = iter(sorted(list_of_ints))
res = []
l = []
l.append(next(it))
sentinal = ()
while True:
... | {
"repo_name": "dkov01/pypdf",
"path": "main.py",
"copies": "1",
"size": "3319",
"license": "bsd-3-clause",
"hash": 5486717774462938000,
"line_mean": 25.1338582677,
"line_max": 92,
"alpha_frac": 0.5369087074,
"autogenerated": false,
"ratio": 3.2699507389162563,
"config_test": false,
"has_no_ke... |
__author__ = 'dlau'
from django.core.management.base import BaseCommand, make_option
from django.db.models import Sum
from sxsw.models import Event
from birdy.twitter import AppClient, TwitterRateLimitError
import sys
api_keys = [
# UpWord Notes SXSW @dlauzzz
{
'consumer_key' : 'SECRET_KEY', #This sh... | {
"repo_name": "laud/upword-notes-sxsw",
"path": "sxsw/management/commands/refresh_tweet_info.py",
"copies": "1",
"size": "5515",
"license": "mit",
"hash": -2504744234671208000,
"line_mean": 42.7698412698,
"line_max": 136,
"alpha_frac": 0.6184950136,
"autogenerated": false,
"ratio": 3.867461430575... |
__author__ = 'dlau'
from tastypie import fields
from tastypie.cache import SimpleCache
from tastypie.throttle import BaseThrottle
from tastypie.resources import ModelResource, ALL
from tastypie.authentication import Authentication
from tastypie.authorization import ReadOnlyAuthorization
from haystack.query import Sea... | {
"repo_name": "laud/upword-notes-sxsw",
"path": "sxsw/api.py",
"copies": "1",
"size": "8368",
"license": "mit",
"hash": 6792014536308406000,
"line_mean": 39.038277512,
"line_max": 177,
"alpha_frac": 0.6040869981,
"autogenerated": false,
"ratio": 3.8455882352941178,
"config_test": false,
"has_... |
__author__ = 'dlgltlzed'
import sys
import json
class ShiftParser:
line_count = 0
column_count = 0
position = 0
save_coords = False
level = -1
found_tokens = []
types = ('left shift', 'no shift', 'right shift', 'content')
input_text = ""
def __init__(self, input_text):
se... | {
"repo_name": "moglars/ShiftParser",
"path": "ShiftParser.py",
"copies": "1",
"size": "2789",
"license": "mit",
"hash": 4730527918282882000,
"line_mean": 32.6024096386,
"line_max": 81,
"alpha_frac": 0.4442452492,
"autogenerated": false,
"ratio": 4.825259515570934,
"config_test": false,
"has_n... |
__author__ = 'DLippman'
import json
from Queue import Queue
from flask import Flask, render_template, request, Response
import threading
import contextlib
from eiscp.core import ISCP, eISCP, command_to_iscp, iscp_to_command
import logging
logging.basicConfig(
filename = 'c:\\Temp\\hello-service.log',
level = ... | {
"repo_name": "devanl/webOnkyo",
"path": "webOnkyo.py",
"copies": "1",
"size": "10863",
"license": "mit",
"hash": 460041246225017800,
"line_mean": 28.4417344173,
"line_max": 93,
"alpha_frac": 0.5624597257,
"autogenerated": false,
"ratio": 4.080766341096919,
"config_test": false,
"has_no_keywo... |
__author__ = 'dmakogon'
from gigaspace.common import templating
from gigaspace.common import remote
nova_exceptions = remote.novaclient.client.exceptions
cinder_exceptions = remote.cinderclient.client.exceptions
class BaseNovaActions(remote.RemoteServices, templating.UserdataTemplate):
"""
Base Cinder actio... | {
"repo_name": "denismakogon/gigaspace-test-task",
"path": "gigaspace/nova_workflow/base.py",
"copies": "1",
"size": "3363",
"license": "apache-2.0",
"hash": 1810045099855395300,
"line_mean": 31.0285714286,
"line_max": 75,
"alpha_frac": 0.5854891466,
"autogenerated": false,
"ratio": 4.193266832917... |
__author__ = 'dmakogon'
import logging
import re
# Don't need this for testing
logging.disable('LOG')
def _check_for_exact_apache(start, lines):
"""Check for the Apache 2.0 license header.
We strip all the newlines and extra spaces so this license string
should work regardless of indentation in the file.
"""
... | {
"repo_name": "rmyers/trove-dashboard",
"path": "trove_dashboard/utils/hacking/check.py",
"copies": "1",
"size": "3870",
"license": "apache-2.0",
"hash": 3002208807663561700,
"line_mean": 34.504587156,
"line_max": 79,
"alpha_frac": 0.6478036176,
"autogenerated": false,
"ratio": 4.035453597497393,... |
__author__ = 'dmakogon'
import sys
import prettytable
import six
import jinja2
from gigaspace.common import cfg
from oslo.utils import encodeutils
CONF = cfg.CONF
ENV = jinja2.Environment(loader=jinja2.ChoiceLoader([
jinja2.FileSystemLoader("/etc/gigaspace/templates"),
... | {
"repo_name": "denismakogon/gigaspace-test-task",
"path": "gigaspace/common/utils.py",
"copies": "1",
"size": "2701",
"license": "apache-2.0",
"hash": -5083463365880304000,
"line_mean": 31.5421686747,
"line_max": 77,
"alpha_frac": 0.5668271011,
"autogenerated": false,
"ratio": 3.8696275071633237,... |
__author__ = 'dmakogon'
from gigaspace.common import cfg
from cinderclient.v2 import client as cinderclient
from novaclient.v1_1 import client as novaclient
from oslo.utils import importutils
CONF = cfg.CONF
class RemoteServices(object):
_novaclient = None
_cinderclient = None
@property
def novac... | {
"repo_name": "denismakogon/gigaspace-test-task",
"path": "gigaspace/common/remote.py",
"copies": "1",
"size": "2077",
"license": "apache-2.0",
"hash": 3973835823909671400,
"line_mean": 27.4520547945,
"line_max": 65,
"alpha_frac": 0.5690900337,
"autogenerated": false,
"ratio": 4.3180873180873185,... |
__author__ = 'dmarkey'
from models import SecretSantaOrg
from captcha.fields import CaptchaField
from django import forms
from datetimewidget.widgets import DateTimeWidget
from django.contrib.auth.models import User
class NewSecretSantaForm(forms.ModelForm):
your_email = forms.EmailField(max_length=256)
captc... | {
"repo_name": "dmarkey/secretsanta",
"path": "app/forms.py",
"copies": "1",
"size": "1389",
"license": "mit",
"hash": 1734350866578717400,
"line_mean": 25.2075471698,
"line_max": 82,
"alpha_frac": 0.6508279338,
"autogenerated": false,
"ratio": 4.209090909090909,
"config_test": false,
"has_no_... |
__author__ = 'dmitrii'
import csv
class Splitter:
data = []
new_data = []
param_list = {'app': "app4", 'flac': "cr_audio1.flac", 'wav': "cr_audio1.wav",
'enw8': "enwik8", 'enw9': "enwik9", 'game': "game1",
'01': "01",'02': "... | {
"repo_name": "dpukhkaiev/BRISE",
"path": "tools/csv_split.py",
"copies": "1",
"size": "1579",
"license": "mit",
"hash": 3444240337920474600,
"line_mean": 42.8611111111,
"line_max": 176,
"alpha_frac": 0.4452184927,
"autogenerated": false,
"ratio": 3.4251626898047722,
"config_test": false,
"ha... |
__author__ = 'dmitrii'
import csv
from os import walk
freqs = [1200.0,1300.0, 1400.0, 1600.0, 1700.0, 1800.0, 1900.0, 2000.0, 2200.0, 2300.0, 2400.0, 2500.0, 2700.0, 2800.0, 2900.0, 2901.0]
threads = [1, 2, 4, 8, 16, 32]
energy ={}
time={}
subset_energy={}
subset_time={}
#max_deviation={}
repeats = 10.
for f in freqs... | {
"repo_name": "dpukhkaiev/BRISE",
"path": "tools/helper_scripts/evaluation.py",
"copies": "1",
"size": "3606",
"license": "mit",
"hash": 8550421760836460000,
"line_mean": 34.0194174757,
"line_max": 135,
"alpha_frac": 0.5643372158,
"autogenerated": false,
"ratio": 2.8917401764234163,
"config_tes... |
__author__ = 'dmitrii'
import csv
param_list = {'app': "app4", 'flac': "cr_audio1.flac", 'wav': "cr_audio1.wav",
'enw8': "enwik8", 'enw9': "enwik9", 'game': "game1",
'01': "01",'02': "02",'03': "03",'04': "04",'05': "05",'06': "06",'07': "07",
'08': "08",'09': "09",'10': "10",... | {
"repo_name": "dpukhkaiev/BRISE",
"path": "tools/helper_scripts/avg.py",
"copies": "1",
"size": "2824",
"license": "mit",
"hash": -444111781628267800,
"line_mean": 41.1492537313,
"line_max": 177,
"alpha_frac": 0.479815864,
"autogenerated": false,
"ratio": 3.0562770562770565,
"config_test": fals... |
__author__ = 'dmitrii'
import csv
param_list = {'app': "app4", 'flac': "cr_audio1.flac", 'wav': "cr_audio1.wav",
'enw8': "enwik8", 'enw9': "enwik9", 'game': "game1",
'01': "01",'02': "02",'03': "03",'04': "04",'05': "05",'06': "06",'07... | {
"repo_name": "dpukhkaiev/BRISE",
"path": "tools/helper_scripts/fix_results.py",
"copies": "1",
"size": "2131",
"license": "mit",
"hash": -2066267285103363800,
"line_mean": 51,
"line_max": 175,
"alpha_frac": 0.4486156734,
"autogenerated": false,
"ratio": 3.4150641025641026,
"config_test": false... |
__author__ = 'dmitrii'
import numpy as np
def featureFormat(dictionary, features, sort_keys=False):
return_list = []
# if sort_keys:
# keys = sorted(dictionary.keys())
# else:
# keys = dictionary.keys()
for key in xrange(len(dictionary)):
tmp_list = []
for feature in fea... | {
"repo_name": "dpukhkaiev/BRISE",
"path": "tools/format.py",
"copies": "1",
"size": "1517",
"license": "mit",
"hash": 7944591009914677000,
"line_mean": 26.5818181818,
"line_max": 68,
"alpha_frac": 0.5655899802,
"autogenerated": false,
"ratio": 4.179063360881543,
"config_test": false,
"has_no_... |
__author__ = 'dmitrii'
import csv
filename = 'sim_annealing_results/sim_annealing_compress_01'
with open(filename+'.csv', 'r') as csv_file:
reader = csv.DictReader(csv_file)
old_row = None
min_energy = None
settings = {}
for row in reader:
#if row["REP"] == "3":
# if row["DataType"... | {
"repo_name": "dpukhkaiev/BRISE",
"path": "tools/helper_scripts/optimal_finder.py",
"copies": "1",
"size": "1424",
"license": "mit",
"hash": -3943977261526017000,
"line_mean": 33.7317073171,
"line_max": 93,
"alpha_frac": 0.5400280899,
"autogenerated": false,
"ratio": 3.595959595959596,
"config_... |
__author__ = 'dmitrii'
import csv
import random
from tools.format import featureFormat, targetFeatureSplit
import numpy as np
class Climber:
dict = []
features_list = ["EN", "TR", "FR"]
features_list2 = ["TIM", "TR", "FR"]
features = []
target = []
target2 = []
threads = []
freqs = []
... | {
"repo_name": "dpukhkaiev/BRISE",
"path": "hill_climbing/climber.py",
"copies": "1",
"size": "5919",
"license": "mit",
"hash": 597543663946320500,
"line_mean": 36.4683544304,
"line_max": 134,
"alpha_frac": 0.5103902686,
"autogenerated": false,
"ratio": 3.606946983546618,
"config_test": false,
... |
__author__ = 'dmitrii'
import csv
import random
from tools.format import featureFormat, targetFeatureSplit
import numpy as np
class SimAnnealing:
dict = []
features_list = ["EN", "TR", "FR"]
features_list2 = ["TIM", "TR", "FR"]
features = []
target = []
target2 = []
threads = []
freqs ... | {
"repo_name": "dpukhkaiev/BRISE",
"path": "sim_annealing/sim_annealing.py",
"copies": "1",
"size": "9484",
"license": "mit",
"hash": -1003885419514510600,
"line_mean": 37.7142857143,
"line_max": 176,
"alpha_frac": 0.5006326445,
"autogenerated": false,
"ratio": 3.7784860557768924,
"config_test":... |
__author__ = 'dmitrii'
import csv
import sys
file_name = sys.argv[1][:-4]
with open(file_name + ".csv", 'r') as csv_file:
reader = csv.DictReader(csv_file)
old_row = None
min_energy = None
settings = {}
for row in reader:
if row["REP"] == "1":
if not old_row:
... | {
"repo_name": "dpukhkaiev/BRISE",
"path": "tools/helper_scripts/optimal_finder_db.py",
"copies": "1",
"size": "1378",
"license": "mit",
"hash": 4729949935080405000,
"line_mean": 31.8095238095,
"line_max": 97,
"alpha_frac": 0.5123367199,
"autogenerated": false,
"ratio": 3.6358839050131926,
"conf... |
__author__ = 'dmitrii'
import numpy as np
import csv
with open("../csvs/results.csv", 'r') as csv_file:
query = "22"
near_opt_freq = 2700.
near_opt_tr = 8
res = []
time_naive = []
near_opt_res = []
near_opt_time = []
fin_res = 0.
fin_near_opt = 0.
fin_time_naive = 0.
fin_ti... | {
"repo_name": "dpukhkaiev/BRISE",
"path": "tools/optimal_db_comparison.py",
"copies": "1",
"size": "1837",
"license": "mit",
"hash": -5779240073786540000,
"line_mean": 33.6603773585,
"line_max": 100,
"alpha_frac": 0.5459989113,
"autogenerated": false,
"ratio": 2.8524844720496896,
"config_test":... |
__author__ = 'dmitrii'
import sys
import re
import csv
from sklearn import cross_validation
from sklearn.linear_model import LinearRegression, Ridge
from tools.format import featureFormat, targetFeatureSplit
from sklearn.preprocessing import PolynomialFeatures
from sklearn.pipeline import Pipeline
import random
from m... | {
"repo_name": "dpukhkaiev/BRISE",
"path": "core/regression.py",
"copies": "1",
"size": "10605",
"license": "mit",
"hash": -3832800422018744000,
"line_mean": 36.3415492958,
"line_max": 140,
"alpha_frac": 0.5315417256,
"autogenerated": false,
"ratio": 3.561114842175957,
"config_test": true,
"ha... |
__author__ = 'dmitriydmitrienko'
from django.template import Context
from django.template.loader import get_template
from django.template import Library
register = Library()
def get_context_template(element):
template = get_template("kubeform/kube_form.html")
context = Context({'form': element})
return ... | {
"repo_name": "DmitryDmitrienko/django-kube-form",
"path": "kubeform/templatetags/kube.py",
"copies": "1",
"size": "1248",
"license": "apache-2.0",
"hash": 355451222873789200,
"line_mean": 27.3636363636,
"line_max": 82,
"alpha_frac": 0.6482371795,
"autogenerated": false,
"ratio": 4.06514657980456... |
__author__ = 'Dmitriy Korsakov'
__doc__ = 'Farm management'
import json
import copy
from scalrctl import commands
from scalrctl import click
from scalrctl import request, settings
class FarmTerminate(commands.SimplifiedAction):
epilog = "Example: scalr-ctl farms terminate --farmId <ID> --force"
post_temp... | {
"repo_name": "Scalr/scalr-ctl",
"path": "scalrctl/commands/farm.py",
"copies": "2",
"size": "6362",
"license": "apache-2.0",
"hash": 738455535190341600,
"line_mean": 31.793814433,
"line_max": 117,
"alpha_frac": 0.5845646023,
"autogenerated": false,
"ratio": 3.92958616429895,
"config_test": fal... |
__author__ = 'Dmitriy Korsakov'
__doc__ = 'Image management'
import copy
from scalrctl import commands
from scalrctl import click
class ChangeImageAttrs(commands.Action):
prompt_for = ["imageId"]
class RegisterImage(commands.Action):
def pre(self, *args, **kwargs):
#XXX: this code does not work ye... | {
"repo_name": "Scalr/pecha",
"path": "scalrctl/commands/image.py",
"copies": "2",
"size": "4042",
"license": "apache-2.0",
"hash": 6102947180607602000,
"line_mean": 38.6274509804,
"line_max": 128,
"alpha_frac": 0.6526472044,
"autogenerated": false,
"ratio": 3.8531935176358436,
"config_test": fa... |
__author__ = 'Dmitriy Korsakov'
__doc__ = 'Manage FarmRoles'
import json
import copy
from scalrctl import commands
from scalrctl import click
from scalrctl import request, settings
from scalrctl.commands import farm
class LaunchServer(commands.SimplifiedAction):
post_template = {}
def pre(self, *args, **... | {
"repo_name": "Scalr/scalr-ctl",
"path": "scalrctl/commands/farmrole.py",
"copies": "2",
"size": "2877",
"license": "apache-2.0",
"hash": 5163361854572674000,
"line_mean": 31.3258426966,
"line_max": 118,
"alpha_frac": 0.598540146,
"autogenerated": false,
"ratio": 3.655654383735705,
"config_test... |
__author__ = 'Dmitriy Korsakov'
__doc__ = 'RoleImage management'
import copy
import json
from scalrctl import commands
from scalrctl import click
class ReplaceRoleImage(commands.SimplifiedAction):
epilog = "Example: scalr-ctl role-images replace --roleID <roleID> --imageID <ID> --newImageID <newID>"
post_t... | {
"repo_name": "Scalr/scalr-ctl",
"path": "scalrctl/commands/roleimage.py",
"copies": "2",
"size": "2674",
"license": "apache-2.0",
"hash": 7227931644069351000,
"line_mean": 31.2168674699,
"line_max": 107,
"alpha_frac": 0.5833956619,
"autogenerated": false,
"ratio": 3.7346368715083798,
"config_t... |
__author__ = 'Dmitriy Korsakov'
__doc__ = 'Role management'
import copy
from scalrctl import commands
from scalrctl import click
class ChangeRoleAttrs(commands.Action):
prompt_for = ["roleId"]
class RoleClone(commands.SimplifiedAction):
epilog = "Example: scalr-ctl role clone --roleId <ID> --name MyNewRol... | {
"repo_name": "Scalr/pecha",
"path": "scalrctl/commands/role.py",
"copies": "2",
"size": "3224",
"license": "apache-2.0",
"hash": 3946340486088926700,
"line_mean": 31.5757575758,
"line_max": 108,
"alpha_frac": 0.601426799,
"autogenerated": false,
"ratio": 3.8335315101070155,
"config_test": fals... |
__author__ = 'Dmitriy Korsakov'
__doc__ = 'Server management'
import copy
import json
import time
from scalrctl import commands
from scalrctl import click
class RebootServer(commands.PolledAction):
epilog = "Example: scalr-ctl servers reboot --serverId <ID> --hard --nowait"
post_template = {
"server... | {
"repo_name": "Scalr/pecha",
"path": "scalrctl/commands/server.py",
"copies": "2",
"size": "11256",
"license": "apache-2.0",
"hash": 4327081301438371300,
"line_mean": 39.9309090909,
"line_max": 110,
"alpha_frac": 0.5672530206,
"autogenerated": false,
"ratio": 4,
"config_test": false,
"has_no_... |
__author__ = 'Dmitriy Korsakov'
__doc__ = 'Server management'
import copy
import json
import time
from scalrctl import commands
from scalrctl import click
class ExecuteScript(commands.PolledAction):
epilog = "Example: scalr-ctl scripts execute --serverId <ID> --scriptId <ID> --blocking --timeout 30"
post_t... | {
"repo_name": "Scalr/scalr-ctl",
"path": "scalrctl/commands/script.py",
"copies": "2",
"size": "3332",
"license": "apache-2.0",
"hash": 1815391308556685000,
"line_mean": 41.7179487179,
"line_max": 111,
"alpha_frac": 0.6149459784,
"autogenerated": false,
"ratio": 4.093366093366093,
"config_test"... |
__author__ = 'Dmitriy Korsakov'
from scalrctl import settings, spec
specs_dict = {}
count = 0
for path in settings.spec["paths"].keys():
methods = settings.spec["paths"][path].keys()
for method in methods:
if "parameters" != method:
if method not in specs_dict:
specs_dict[... | {
"repo_name": "Scalr/scalr-ctl",
"path": "tests/unittests/test_spec.py",
"copies": "2",
"size": "1895",
"license": "apache-2.0",
"hash": 9171453825451638000,
"line_mean": 28.609375,
"line_max": 93,
"alpha_frac": 0.635883905,
"autogenerated": false,
"ratio": 3.509259259259259,
"config_test": fal... |
__author__ = 'Dmitriy Korsakov'
import json
import yaml
import six
import prettytable
import re
from scalrctl import settings
def calc_vertical_table(response_json, columns):
rows = []
for block in response_json.get('data', ''):
row = []
for name in columns:
for item in block:
... | {
"repo_name": "Scalr/pecha",
"path": "scalrctl/view.py",
"copies": "2",
"size": "3847",
"license": "apache-2.0",
"hash": -7641379589201650000,
"line_mean": 28.1439393939,
"line_max": 93,
"alpha_frac": 0.5614764752,
"autogenerated": false,
"ratio": 3.494096276112625,
"config_test": false,
"has... |
__author__ = 'Dmitriy Korsakov'
import os
import site
import shutil
from scalrctl import click
from scalrctl import defaults
PROGNAME = "scalr-ctl"
AUTOCOMPLETE_FNAME = "path.bash.inc"
AUTOCOMPLETE_CONTENT = "_%s_COMPLETE=source %s" % (PROGNAME.upper().replace("-", "_"), PROGNAME)
AUTOCOMPLETE_PATH = os.path.join(o... | {
"repo_name": "Scalr/pecha",
"path": "scalrctl/commands/internal/bash_complete.py",
"copies": "2",
"size": "2902",
"license": "apache-2.0",
"hash": 5216403455573373000,
"line_mean": 41.0579710145,
"line_max": 124,
"alpha_frac": 0.6095796003,
"autogenerated": false,
"ratio": 3.6921119592875318,
... |
__author__ = 'dmitriypetrusevich'
import xml.etree.ElementTree as ElementTree
import re
re_find_mod = re.compile("([a-z])\s%\s([0-9]+)")
re_find_equal = re.compile("([a-z0-9_]+?)\s=\s([0-9\.,]+)")
re_find_not_equal = re.compile("([a-z0-9_]+?)\s!=\s([0-9\.,]+)")
re_find_range = re.compile("([0-9]+)\.\.([0-9]+)")
sour... | {
"repo_name": "nullic/DPLocalizationManager",
"path": "Generator/parser.py",
"copies": "1",
"size": "8474",
"license": "mit",
"hash": 2501397798601455000,
"line_mean": 33.4471544715,
"line_max": 126,
"alpha_frac": 0.5944064196,
"autogenerated": false,
"ratio": 3.1572280178837557,
"config_test":... |
__author__ = 'Dmitry Golubkov'
__email__ = 'dmitry.v.golubkov@cern.ch'
from django.core.management.base import BaseCommand
from optparse import make_option
from taskengine.atlas.taskdef import TaskDefinition
from taskengine.atlas.datamgmt import AMIWrapper
from deftcore.log import Logger
logger = Logger().get()
cla... | {
"repo_name": "retmas-dv/panda-deft",
"path": "deftcore/server/management/commands/runworker.py",
"copies": "1",
"size": "2313",
"license": "apache-2.0",
"hash": 4567686638226923500,
"line_mean": 40.3035714286,
"line_max": 69,
"alpha_frac": 0.551232166,
"autogenerated": false,
"ratio": 4.33146067... |
__author__ = 'Dmitry Golubkov'
__email__ = 'dmitry.v.golubkov@cern.ch'
# howTo install Rucio client
# source env/bin/activate
# pip install rucio-clients-atlas
# using:
# >>> from ruciotmpl import DDMWrapper
# >>> ddm = DDMWrapper()
# >>> ddm.ddm_list_datasets_in_container('valid1:valid1.410000.PowhegPythiaEvtGen_P20... | {
"repo_name": "retmas-dv/panda-deft",
"path": "deftcore/ruciotmpl.py",
"copies": "1",
"size": "10153",
"license": "apache-2.0",
"hash": 1567790900773827000,
"line_mean": 40.6106557377,
"line_max": 140,
"alpha_frac": 0.5912538166,
"autogenerated": false,
"ratio": 3.7081811541271,
"config_test": ... |
__author__ = 'Dmitry Golubkov'
__email__ = 'dmitry.v.golubkov@cern.ch'
import json
from django.core.exceptions import ObjectDoesNotExist
from taskengine.models import ProductionDataset, ProductionTask, TTask, StepExecution, TaskRegDebugElement
from taskengine.atlas.protocol import Protocol, TaskStatus, TaskDefConstant... | {
"repo_name": "retmas-dv/panda-deft",
"path": "deftcore/taskengine/atlas/taskreg.py",
"copies": "1",
"size": "9925",
"license": "apache-2.0",
"hash": -1079532113500857000,
"line_mean": 41.9653679654,
"line_max": 118,
"alpha_frac": 0.5213098237,
"autogenerated": false,
"ratio": 4.4091514882274545,... |
__author__ = 'Dmitry Golubkov'
__email__ = 'dmitry.v.golubkov@cern.ch'
import json
from django.core.management.base import BaseCommand
from taskengine.atlas.taskdef import TaskDefinition
from deftcore.log import Logger
logger = Logger().get()
class Command(BaseCommand):
can_import_settings = True
option_lis... | {
"repo_name": "retmas-dv/panda-deft",
"path": "deftcore/server/management/commands/debug.py",
"copies": "1",
"size": "8583",
"license": "apache-2.0",
"hash": -148449523864072670,
"line_mean": 43.703125,
"line_max": 117,
"alpha_frac": 0.5389723873,
"autogenerated": false,
"ratio": 4.13240250361097... |
__author__ = 'Dmitry Golubkov'
__email__ = 'dmitry.v.golubkov@cern.ch'
import json
from django.db import models
from django.db import connections
from django.dispatch import receiver
from django.db.models.signals import post_init
from deftcore.log import Logger
logger = Logger().get()
models.options.DEFAULT_NAMES +=... | {
"repo_name": "retmas-dv/panda-deft",
"path": "deftcore/taskengine/models.py",
"copies": "1",
"size": "32368",
"license": "apache-2.0",
"hash": 1942746763818850300,
"line_mean": 44.9120567376,
"line_max": 119,
"alpha_frac": 0.6500865052,
"autogenerated": false,
"ratio": 3.3503778076803643,
"con... |
__author__ = 'Dmitry Golubkov'
__email__ = 'dmitry.v.golubkov@cern.ch'
import json
from django.db import models
from django.db.models.signals import post_save
from django.dispatch import receiver
from django.utils import timezone
from deftcore.log import Logger
from api import ApiServer
from deftcore.helpers import Me... | {
"repo_name": "retmas-dv/panda-deft",
"path": "deftcore/api/models.py",
"copies": "1",
"size": "5472",
"license": "apache-2.0",
"hash": 2750262843218431500,
"line_mean": 40.4545454545,
"line_max": 117,
"alpha_frac": 0.6383406433,
"autogenerated": false,
"ratio": 3.480916030534351,
"config_test"... |
__author__ = 'Dmitry Golubkov'
__email__ = 'dmitry.v.golubkov@cern.ch'
import json
from tastypie.serializers import Serializer
from django.core.serializers.json import DjangoJSONEncoder
from tastypie.resources import Resource
from tastypie import fields
from api.models import PhysGroupRequestIndex, PhysGroupRequestFil... | {
"repo_name": "retmas-dv/dkcatalog-nonrel",
"path": "dkcatalog/api/resources.py",
"copies": "1",
"size": "2189",
"license": "apache-2.0",
"hash": 8332058935687046000,
"line_mean": 36.1016949153,
"line_max": 107,
"alpha_frac": 0.6564641389,
"autogenerated": false,
"ratio": 4.114661654135339,
"co... |
__author__ = 'Dmitry Golubkov'
__email__ = 'dmitry.v.golubkov@cern.ch'
import json
import requests
import urllib
class Client(object):
BASE_URL = 'https://aipanda015.cern.ch'
def __init__(self, auth_user, auth_key, verify_ssl_cert=False, base_url=None):
self.verify_ssl_cert = verify_ssl_cert
... | {
"repo_name": "retmas-dv/panda-deft",
"path": "deftcore/api/client/__init__.py",
"copies": "1",
"size": "10508",
"license": "apache-2.0",
"hash": 8821442971726374000,
"line_mean": 44.4891774892,
"line_max": 111,
"alpha_frac": 0.622002284,
"autogenerated": false,
"ratio": 3.3929609299321926,
"co... |
__author__ = 'Dmitry Golubkov'
__email__ = 'dmitry.v.golubkov@cern.ch'
import json
import threading
from django.utils import timezone
from deftcore.helpers import Singleton
from deftcore.log import Logger, get_exception_string
from taskengine.handlers import TaskActionHandler
from taskengine.models import ProductionTa... | {
"repo_name": "retmas-dv/panda-deft",
"path": "deftcore/api/__init__.py",
"copies": "1",
"size": "13415",
"license": "apache-2.0",
"hash": -313705003322990500,
"line_mean": 60.5366972477,
"line_max": 101,
"alpha_frac": 0.590980246,
"autogenerated": false,
"ratio": 4.010463378176382,
"config_tes... |
__author__ = 'Dmitry Golubkov'
__email__ = 'dmitry.v.golubkov@cern.ch'
import os
import ast
import json
import re
from django.template import add_to_builtins, Context, Template
from django.template.defaultfilters import stringfilter
from django import template
from deftcore.helpers import Enum
from deftcore.log import... | {
"repo_name": "retmas-dv/panda-deft",
"path": "deftcore/taskengine/atlas/protocol/__init__.py",
"copies": "1",
"size": "15888",
"license": "apache-2.0",
"hash": 8116782058688068000,
"line_mean": 35.8631090487,
"line_max": 129,
"alpha_frac": 0.5032099698,
"autogenerated": false,
"ratio": 3.7774607... |
__author__ = 'Dmitry Golubkov'
__email__ = 'dmitry.v.golubkov@cern.ch'
import os
import json
from deftcore.settings import LOGGING_BASE_DIR, DEFAULT_LOGGING_FILENAME
from django.http import HttpResponse
def view_log(request):
try:
log_file_path = os.path.join(LOGGING_BASE_DIR, DEFAULT_LOGGING_FILENAME)
... | {
"repo_name": "retmas-dv/panda-deft",
"path": "deftcore/server/views.py",
"copies": "1",
"size": "1438",
"license": "apache-2.0",
"hash": -3227359656975388000,
"line_mean": 43.9375,
"line_max": 85,
"alpha_frac": 0.4478442281,
"autogenerated": false,
"ratio": 4.594249201277956,
"config_test": fa... |
__author__ = 'Dmitry Golubkov'
__email__ = 'dmitry.v.golubkov@cern.ch'
import os
import re
import ast
import sys
import time
import json
from deftcore.settings import DDM_ACCOUNT_NAME
from deftcore.log import Logger
from deftcore.helpers import Singleton, ImportHelper
from deftcore.security.voms import MyProxyClient
i... | {
"repo_name": "retmas-dv/panda-deft",
"path": "deftcore/taskengine/atlas/datamgmt.py",
"copies": "1",
"size": "25429",
"license": "apache-2.0",
"hash": -7457631423259280000,
"line_mean": 43.0710571924,
"line_max": 122,
"alpha_frac": 0.5336033662,
"autogenerated": false,
"ratio": 3.948602484472049... |
__author__ = 'Dmitry Golubkov'
__email__ = 'dmitry.v.golubkov@cern.ch'
import subprocess
import socket
import stat
import datetime
import gridproxy
import gridproxy.voms
from deftcore.settings import *
from OpenSSL import crypto, SSL
class MyProxyClient(object):
SERVER_RESPONSE_SIZE = 16384
DIGEST_TYPE = "md... | {
"repo_name": "retmas-dv/panda-deft",
"path": "deftcore/deftcore/security/voms.py",
"copies": "1",
"size": "7799",
"license": "apache-2.0",
"hash": -1075383616236485400,
"line_mean": 35.1064814815,
"line_max": 119,
"alpha_frac": 0.5802025901,
"autogenerated": false,
"ratio": 3.6683913452492947,
... |
__author__ = 'Dmitry Golubkov'
__email__ = 'dmitry.v.golubkov@cern.ch'
import sys
import traceback
import logging
import json
import time
from helpers import Singleton, AsyncRequest
from django.conf import settings
def get_exception_string():
ex_info = sys.exc_info()
ex_string = traceback.format_exception_on... | {
"repo_name": "retmas-dv/panda-deft",
"path": "deftcore/deftcore/log.py",
"copies": "1",
"size": "2425",
"license": "apache-2.0",
"hash": -8828104515292382000,
"line_mean": 26.5568181818,
"line_max": 88,
"alpha_frac": 0.535257732,
"autogenerated": false,
"ratio": 3.783151326053042,
"config_test... |
__author__ = 'Dmitry Golubkov'
__email__ = 'dmitry.v.golubkov@cern.ch'
import threading
import requests
from django.contrib import admin
from deftcore.settings import DEBUG
class ReadOnlyAdmin(admin.ModelAdmin):
def __init__(self, model, admin_site):
super(ReadOnlyAdmin, self).__init__(model, admin_site)... | {
"repo_name": "retmas-dv/panda-deft",
"path": "deftcore/deftcore/helpers.py",
"copies": "1",
"size": "2436",
"license": "apache-2.0",
"hash": 710936181695811800,
"line_mean": 27,
"line_max": 113,
"alpha_frac": 0.591543514,
"autogenerated": false,
"ratio": 3.922705314009662,
"config_test": false... |
__author__ = 'Dmitry Golubkov'
__email__ = 'dmitry.v.golubkov@cern.ch'
import uuid
import json
import deftcore.settings
from datetime import timedelta
from tastypie import fields
from tastypie.exceptions import NotFound, BadRequest
from tastypie.resources import ModelResource, Resource, Bundle, ALL
from tastypie.authe... | {
"repo_name": "retmas-dv/panda-deft",
"path": "deftcore/api/resources.py",
"copies": "1",
"size": "12239",
"license": "apache-2.0",
"hash": 5506161897180166000,
"line_mean": 34.7865497076,
"line_max": 137,
"alpha_frac": 0.5794591061,
"autogenerated": false,
"ratio": 4.267433751743376,
"config_t... |
__author__ = 'Dmitry Golubkov'
__email__ = 'dmitry.v.golubkov@cern.ch'
__version__ = '0.5.5'
import os.path
import StringIO
import re
import urllib
import pycurl
import HTMLParser
import datetime
import json
from server.models import WebCache
from deftcore.settings import CERNSSO_COOKIES_VALID_PERIOD
from django.utils... | {
"repo_name": "retmas-dv/panda-deft",
"path": "deftcore/deftcore/security/cernsso.py",
"copies": "1",
"size": "4449",
"license": "apache-2.0",
"hash": -2134351028835182800,
"line_mean": 39.4454545455,
"line_max": 110,
"alpha_frac": 0.6277815239,
"autogenerated": false,
"ratio": 3.451512800620636,... |
__author__ = 'Dmitry Golubkov'
import json
import requests
import urllib
class Client(object):
def __init__(self, auth_user, auth_key, verify_ssl_cert=False, base_url='https://aipanda034.cern.ch'):
self.base_url = base_url
self.verify_ssl_cert = verify_ssl_cert
self.api_url = '/api/v1/req... | {
"repo_name": "PanDAWMS/panda-bigmon-atlas",
"path": "atlas/deftcore/api/client/__init__.py",
"copies": "1",
"size": "10788",
"license": "apache-2.0",
"hash": -9104483765283809000,
"line_mean": 45.1068376068,
"line_max": 113,
"alpha_frac": 0.6254171301,
"autogenerated": false,
"ratio": 3.41392405... |
__author__ = 'Dmitry Ustalov'
import random
class Data:
def __init__(self, cluster, clusters_train, clusters_test,
X_index_train, Y_all_train, Z_all_train,
X_index_test, Y_all_test, Z_all_test):
self.cluster = cluster
self.subsumptions_train = [i for i, c in enu... | {
"repo_name": "nlpub/hyperstar",
"path": "projlearn/data.py",
"copies": "2",
"size": "1792",
"license": "mit",
"hash": 8824807382648035000,
"line_mean": 46.1578947368,
"line_max": 118,
"alpha_frac": 0.58984375,
"autogenerated": false,
"ratio": 3.138353765323993,
"config_test": true,
"has_no_k... |
__author__ = 'Dmitry Ustalov'
import tensorflow as tf
class Baseline:
"""
A simple baseline that estimates the projection matrix W
given the vectors X and Y without any constraints.
"""
def __init__(self, x_size, y_size, w_stddev, **kwargs):
self.x_size = x_size
self.y_size = y_s... | {
"repo_name": "dustalov/projlearn",
"path": "projlearn/baseline.py",
"copies": "2",
"size": "1586",
"license": "mit",
"hash": -4168425476739356700,
"line_mean": 32.7446808511,
"line_max": 106,
"alpha_frac": 0.5813366961,
"autogenerated": false,
"ratio": 2.9924528301886792,
"config_test": false,... |
__author__ = 'Dmitry Ustalov'
import tensorflow as tf
class MLP:
"""
A fully connected neural network-based approach.
"""
def __init__(self, x_size, y_size, lambda_, **kwargs):
self.x_size = x_size
self.y_size = y_size
self.X = tf.placeholder(tf.float32, shape=[None, self.x_... | {
"repo_name": "nlpub/hyperstar",
"path": "projlearn/mlp.py",
"copies": "2",
"size": "1913",
"license": "mit",
"hash": -4962274152779700000,
"line_mean": 39.7021276596,
"line_max": 105,
"alpha_frac": 0.6116048092,
"autogenerated": false,
"ratio": 3.4406474820143886,
"config_test": false,
"has_... |
__author__ = 'dmnmrzk'
from bs4 import BeautifulSoup
import requests
from urlparse import urlparse
etchosts = '''
#
# /etc/hosts: static lookup table for host names
#
#<ip-address> <hostname.domain.org> <hostname>
127.0.0.1 localhost.localdomain localhost
::1 localhost.localdomain localhost
#Porn sites
'''
r = r... | {
"repo_name": "dmnmrzk/pr0n-etc-hosts",
"path": "pr0n-hostfile.py",
"copies": "1",
"size": "1106",
"license": "bsd-3-clause",
"hash": -8069637152057829000,
"line_mean": 20.2692307692,
"line_max": 48,
"alpha_frac": 0.5696202532,
"autogenerated": false,
"ratio": 3.2244897959183674,
"config_test":... |
__author__ = 'dmorina, asmita, megha'
from crowdsourcing.serializers.requester import *
from crowdsourcing.serializers.project import *
from rest_framework import viewsets
from rest_framework.decorators import detail_route
from rest_framework.response import Response
from crowdsourcing.models import Module
class Reques... | {
"repo_name": "ryosuzuki/crowdsource-platform",
"path": "crowdsourcing/viewsets/requester.py",
"copies": "3",
"size": "1462",
"license": "mit",
"hash": 9125827891394691000,
"line_mean": 46.1935483871,
"line_max": 125,
"alpha_frac": 0.7414500684,
"autogenerated": false,
"ratio": 3.983651226158038,... |
__author__ = 'dmorina, asmita, megha'
from crowdsourcing.serializers.worker import *
from crowdsourcing.serializers.project import *
from crowdsourcing.models import *
from rest_framework import status, viewsets
from rest_framework.response import Response
from rest_framework.decorators import detail_route
from rest_f... | {
"repo_name": "saviaga/crowdsource-platform",
"path": "crowdsourcing/viewsets/worker.py",
"copies": "1",
"size": "5222",
"license": "mit",
"hash": 6216235548997721000,
"line_mean": 40.4444444444,
"line_max": 117,
"alpha_frac": 0.6759862122,
"autogenerated": false,
"ratio": 4.197749196141479,
"c... |
__author__ = 'dmorina, megha'
from csp import settings
import httplib2
from django.http import HttpResponseRedirect
from crowdsourcing import models
from apiclient import discovery, errors
from apiclient.http import MediaFileUpload
from oauth2client.client import Credentials
from rest_framework.viewsets import ViewSet
... | {
"repo_name": "saviaga/crowdsource-platform",
"path": "crowdsourcing/viewsets/google_drive.py",
"copies": "1",
"size": "9289",
"license": "mit",
"hash": -7064796888112104000,
"line_mean": 39.9251101322,
"line_max": 116,
"alpha_frac": 0.5930670686,
"autogenerated": false,
"ratio": 4.24155251141552... |
__author__ = 'dmorina'
from crowdsourcing import models
from datetime import datetime
from rest_framework import serializers
from django.contrib.auth.models import User
from django.core.exceptions import ObjectDoesNotExist
from crowdsourcing.serializers.dynamic import DynamicFieldsModelSerializer
from rest_framework.ex... | {
"repo_name": "ryosuzuki/crowdsource-platform",
"path": "crowdsourcing/serializers/message.py",
"copies": "3",
"size": "1800",
"license": "mit",
"hash": -3019251495850996700,
"line_mean": 44,
"line_max": 107,
"alpha_frac": 0.7338888889,
"autogenerated": false,
"ratio": 4.205607476635514,
"confi... |
__author__ = 'dmorina'
from crowdsourcing import models
from datetime import datetime
from rest_framework import serializers
from django.db.models import Avg
from django.db.models import Max
from django.db.models import Min
from django.contrib.auth.models import User
from django.core.exceptions import ObjectDoesNotExis... | {
"repo_name": "saviaga/crowdsource-platform",
"path": "crowdsourcing/serializers/project.py",
"copies": "1",
"size": "12939",
"license": "mit",
"hash": 5410542558027583000,
"line_mean": 40.8770226537,
"line_max": 178,
"alpha_frac": 0.6534508076,
"autogenerated": false,
"ratio": 4.284437086092716,... |
__author__ = 'dmorina'
from crowdsourcing import models
from datetime import datetime
from rest_framework import serializers
import json
class CategorySerializer(serializers.ModelSerializer):
deleted = serializers.BooleanField(read_only=True)
class Meta:
model = models.Category
fields = ('id'... | {
"repo_name": "ramcn/demo3",
"path": "crowdsourcing/serializers/project.py",
"copies": "6",
"size": "2360",
"license": "mit",
"hash": -9105360023929757000,
"line_mean": 30.4666666667,
"line_max": 102,
"alpha_frac": 0.7042372881,
"autogenerated": false,
"ratio": 4.591439688715953,
"config_test":... |
__author__ = 'dmorina'
from csp import settings
from crowdsourcing import models
from rest_framework.views import APIView
from django.http import HttpResponse, HttpResponseRedirect
# TODO change this to support ajax requests, remove HttpResponseRedirect
class DropboxOauth(APIView):
"""
Handles the Dropbox ... | {
"repo_name": "ryosuzuki/crowdsource-platform",
"path": "crowdsourcing/viewsets/dropbox.py",
"copies": "3",
"size": "3457",
"license": "mit",
"hash": -3408953647318235600,
"line_mean": 46.3698630137,
"line_max": 108,
"alpha_frac": 0.6146948221,
"autogenerated": false,
"ratio": 4.542706964520368,
... |
__author__ = 'dmorina'
from csp import settings
def send_activation_email(email, host, activation_key):
"""
This sends the activation link to the user, the content will be moved to template files
Keyword Arguments:
host -- the domain of the website
activation_k... | {
"repo_name": "ryosuzuki/crowdsource-platform",
"path": "crowdsourcing/emails.py",
"copies": "8",
"size": "1719",
"license": "mit",
"hash": 8375116586483226000,
"line_mean": 45.4864864865,
"line_max": 131,
"alpha_frac": 0.5671902269,
"autogenerated": false,
"ratio": 4.202933985330073,
"config_t... |
__author__ = 'dmorina'
from oauth2_provider.oauth2_backends import OAuthLibCore, get_oauthlib_core
from django.utils.http import urlencode
import ast
def get_model_or_none(model, *args, **kwargs):
"""
Get model object or return None, this will catch the DoesNotExist error.
Keyword Arguments:
... | {
"repo_name": "phiju123/crowdsource-platform",
"path": "crowdsourcing/utils.py",
"copies": "1",
"size": "2665",
"license": "mit",
"hash": -8922544273370280000,
"line_mean": 36.0277777778,
"line_max": 104,
"alpha_frac": 0.6427767355,
"autogenerated": false,
"ratio": 4.3122977346278315,
"config_t... |
__author__ = 'dmorina'
from crowdsourcing import models
from datetime import datetime
from rest_framework import serializers
import json, hashlib, random, re
from rest_framework.response import Response
from django.contrib.auth.models import User
from rest_framework.validators import UniqueTogetherValidator, UniqueVal... | {
"repo_name": "phiju123/crowdsource-platform",
"path": "crowdsourcing/serializers/user.py",
"copies": "1",
"size": "8540",
"license": "mit",
"hash": -3489460346662191000,
"line_mean": 43.0257731959,
"line_max": 141,
"alpha_frac": 0.6448477752,
"autogenerated": false,
"ratio": 4.35048395313296,
... |
__author__ = 'dmorina'
from crowdsourcing.serializers.worker import *
from rest_framework import generics
from rest_framework import status, views as rest_framework_views, viewsets
class WorkerSkillViewSet(viewsets.ModelViewSet):
from crowdsourcing.models import WorkerSkill
queryset = WorkerSkill.objects.al... | {
"repo_name": "asmitagupta/crowdsource-platform",
"path": "crowdsourcing/viewsets/worker.py",
"copies": "1",
"size": "1511",
"license": "mit",
"hash": 2813205578910359600,
"line_mean": 29.22,
"line_max": 74,
"alpha_frac": 0.7875579087,
"autogenerated": false,
"ratio": 4.20891364902507,
"config_... |
__author__ = 'dmorina'
from rest_framework import status, viewsets
from rest_framework.response import Response
from rest_framework.permissions import IsAuthenticated
from rest_framework import mixins
from crowdsourcing.models import Conversation, Message
from crowdsourcing.serializers.message import ConversationSeri... | {
"repo_name": "ryosuzuki/crowdsource-platform",
"path": "crowdsourcing/viewsets/message.py",
"copies": "3",
"size": "1449",
"license": "mit",
"hash": 2422728939528209000,
"line_mean": 38.1891891892,
"line_max": 87,
"alpha_frac": 0.7004830918,
"autogenerated": false,
"ratio": 4.614649681528663,
... |
__author__ = ['dmorina', 'shirish']
from oauth2_provider.oauth2_backends import OAuthLibCore, get_oauthlib_core
from django.utils.http import urlencode
import ast
def get_delimiter(filename, *args, **kwargs):
delimiter_map = {'csv': ',', 'tsv': '\t'}
delimiter = None
extension = filename.split('.')[-1]
... | {
"repo_name": "saviaga/crowdsource-platform",
"path": "crowdsourcing/utils.py",
"copies": "1",
"size": "3889",
"license": "mit",
"hash": 8239774164165594000,
"line_mean": 35.0185185185,
"line_max": 104,
"alpha_frac": 0.6312676781,
"autogenerated": false,
"ratio": 4.208874458874459,
"config_test... |
__author__ = ['dmorina', 'shirish']
from oauth2_provider.oauth2_backends import OAuthLibCore, get_oauthlib_core
from django.utils.http import urlencode
import ast
def get_model_or_none(model, *args, **kwargs):
"""
Get model object or return None, this will catch the DoesNotExist error.
Keyword A... | {
"repo_name": "ramcn/demo2",
"path": "crowdsourcing/utils.py",
"copies": "5",
"size": "3632",
"license": "mit",
"hash": 2275986935252727800,
"line_mean": 34.9702970297,
"line_max": 104,
"alpha_frac": 0.6316079295,
"autogenerated": false,
"ratio": 4.218350754936121,
"config_test": false,
"has_... |
__author__ = ['dmorina', 'shirish']
import uuid
from rest_framework.exceptions import AuthenticationFailed
from django.utils.translation import ugettext_lazy as _
from crowdsourcing import models
from datetime import datetime
from rest_framework import serializers
import json, hashlib, random, re
from rest_framework.... | {
"repo_name": "saviaga/crowdsource-platform",
"path": "crowdsourcing/serializers/user.py",
"copies": "1",
"size": "9453",
"license": "mit",
"hash": 3395277921015894500,
"line_mean": 40.1043478261,
"line_max": 124,
"alpha_frac": 0.6476250926,
"autogenerated": false,
"ratio": 4.370319001386963,
"... |
__author__ = 'd'
from csp import settings
from django import forms
from django.contrib.auth.models import User
class RegistrationForm(forms.Form):
email = forms.EmailField(label='',
widget=forms.TextInput(attrs={'class':'form-control',
... | {
"repo_name": "saviaga/crowdsource-platform",
"path": "crowdsourcing/forms.py",
"copies": "9",
"size": "7962",
"license": "mit",
"hash": -5650967646976985000,
"line_mean": 60.2461538462,
"line_max": 120,
"alpha_frac": 0.3364732479,
"autogenerated": false,
"ratio": 7.568441064638783,
"config_tes... |
__author__ = 'dnovogrodsky'
import re
import pathlib
import os
from subprocess import call
#machineName = re.compile('(deflogix-pc.def-logix.local)')
machineName = re.compile('(andre_sp3.def-logix.local)')
inputSyslogMessages = open('messages','r')
outputSyslogMessages = open('syslogMessages.txt', 'w')
# read the in... | {
"repo_name": "DavidNovo/ExplorationsWithPython",
"path": "importSyslogFiles.py",
"copies": "1",
"size": "1528",
"license": "mit",
"hash": 14008280263537180,
"line_mean": 32.9777777778,
"line_max": 108,
"alpha_frac": 0.7336387435,
"autogenerated": false,
"ratio": 3.561771561771562,
"config_test... |
__author__ = 'Dobias van Ingen'
import paramiko
import sys
import os
import time
test = os.system('ping 192.168.56.102')
cmd = "display version\n"
host = '192.168.56.102'
user = 'dobias'
passwd = 'HPRocks2'
port = 22
ip = sys.argv[1]
def etss_range(etssrange):
hosts = []
block = etssrange.split('.')
... | {
"repo_name": "rbatist/HPN-Scripting",
"path": "etss_scp_in.py",
"copies": "2",
"size": "1514",
"license": "mit",
"hash": -3004067570582508500,
"line_mean": 23.4193548387,
"line_max": 69,
"alpha_frac": 0.5277410832,
"autogenerated": false,
"ratio": 3.5623529411764707,
"config_test": false,
"h... |
__author__ = 'dolel'
from math import sqrt
class Recommender:
def __init__(self, data, k_nearest_neighbor_value=1, max_no_of_recommendations=5):
"""
Initialize Recommender
Currently, if data is dictionary, the recommender is initialized to it.
For all other types of data, no initi... | {
"repo_name": "dolel13/GeekNightRecommendationEngine",
"path": "recommender.py",
"copies": "1",
"size": "7570",
"license": "apache-2.0",
"hash": 865952906519872800,
"line_mean": 44.3293413174,
"line_max": 125,
"alpha_frac": 0.5787318362,
"autogenerated": false,
"ratio": 3.9121447028423773,
"con... |
__author__ = "Domenico Solazzo"
__version__ = "0.1"
RESPONSE_CODES = {
200: "OK: Success",
202: "Accepted: The request was accepted and the user was queued for processing",
401: "Not Authorized: either you need to provide authentication credentials, or the credentials provided aren't valid.",
... | {
"repo_name": "domenicosolazzo/PythonKlout",
"path": "pythonklout.py",
"copies": "1",
"size": "8616",
"license": "mit",
"hash": 7332461578272248000,
"line_mean": 38.1636363636,
"line_max": 168,
"alpha_frac": 0.5023212628,
"autogenerated": false,
"ratio": 4.366953877344146,
"config_test": false,... |
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