text stringlengths 0 1.05M | meta dict |
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import os, logging, fnmatch, shutil, json
from types import *
from datetime import datetime
from pymongo import MongoClient
from bson.objectid import ObjectId
from bson import json_util
from env_config import ENV
# $ mongoimport --port 19981 -d mp_data -c event_logs data/events_raw_data.json
#start the logger
log =... | {
"repo_name": "cubefyre/audience-behavior-ui",
"path": "app/server/mongo_service.py",
"copies": "1",
"size": "14364",
"license": "apache-2.0",
"hash": -497716153986738800,
"line_mean": 25.0707803993,
"line_max": 186,
"alpha_frac": 0.6578947368,
"autogenerated": false,
"ratio": 2.82311320754717,
... |
import os, logging, fnmatch, shutil, json
import datetime
import analytics
from analytics import Client
from env_config import ENV
log = logging.getLogger(__name__)
log.setLevel("DEBUG")
#
# Segment service for handling raw Event logs
#
class SegmentEventService():
def __init__(self):
self.segme... | {
"repo_name": "cubefyre/audience-behavior-ui",
"path": "app/server/segment_service.py",
"copies": "1",
"size": "4239",
"license": "apache-2.0",
"hash": -7615464045600361000,
"line_mean": 33.185483871,
"line_max": 187,
"alpha_frac": 0.6008492569,
"autogenerated": false,
"ratio": 3.8747714808043874... |
import os, requests, boto, json
from boto.s3.connection import S3Connection
from env_config import ENV
import logging
log = logging.getLogger(__name__)
log.setLevel("DEBUG")
#
# S3 class and methods to read json, text and csv files
#
class S3FileReader:
def download_file_from_s3(self, what_file, local_file_path... | {
"repo_name": "cubefyre/audience-behavior-ui",
"path": "app/server/s3_service.py",
"copies": "1",
"size": "4591",
"license": "apache-2.0",
"hash": -6817760247206695000,
"line_mean": 39.6283185841,
"line_max": 137,
"alpha_frac": 0.7240252668,
"autogenerated": false,
"ratio": 2.898358585858586,
"... |
import logging.config
import os.path
import socket
LOGGING_CONF=os.path.join(os.path.dirname(__file__), "logging.ini")
logging.config.fileConfig(LOGGING_CONF)
HOST = socket.gethostname()
if HOST == "MacBook.local":
ENV = {
"home": "/server",
"mongo_db_host":"localhost"
}
else: # localhost settings
ENV = {
... | {
"repo_name": "cubefyre/audience-behavior-ui",
"path": "app/server/env_config.py",
"copies": "1",
"size": "1687",
"license": "apache-2.0",
"hash": 7772816571285046000,
"line_mean": 22.1095890411,
"line_max": 74,
"alpha_frac": 0.6733847066,
"autogenerated": false,
"ratio": 2.9036144578313254,
"c... |
import os, logging, fnmatch, shutil, json, calendar
from collections import defaultdict, Counter, OrderedDict
from datetime import datetime, timedelta
from mp_lib import Mixpanel
from env_config import ENV
#log = logging.getLogger(__name__)
#log.setLevel("DEBUG")
#
# MixPanel service for handling mp APIs
#... | {
"repo_name": "cubefyre/audience-behavior-ui",
"path": "app/server/analytics_service.py",
"copies": "1",
"size": "14750",
"license": "apache-2.0",
"hash": 2664611777584721000,
"line_mean": 36.5318066158,
"line_max": 165,
"alpha_frac": 0.5946440678,
"autogenerated": false,
"ratio": 3.6134247917687... |
__author__="jitesh"
#Minimal editor
import Tkinter
from Tkinter import *
from ScrolledText import *
import tkFileDialog
import tkMessageBox
root = Tkinter.Tk(className=" Just another Text Editor")
textPad = ScrolledText(root, width=100, height=80)
def open_command():
file = tkFileDialog.askopenfile(paren... | {
"repo_name": "jiteshjha/MyEditor",
"path": "MyText.py",
"copies": "1",
"size": "1446",
"license": "mit",
"hash": 703411156389040900,
"line_mean": 25.7777777778,
"line_max": 84,
"alpha_frac": 0.6742738589,
"autogenerated": false,
"ratio": 3.3317972350230414,
"config_test": false,
"has_no_keyw... |
__author__ = 'jithinjustin'
import sys
sys.path.append("/Users/jithinjustin/spark-1.4.1-bin-hadoop2.6/python/")
from operator import add
from pyspark import SparkContext
import re
def wordCount(wordListRDD):
wordCountRDD=wordListRDD.map(lambda x:(x,1)).reduceByKey(add)
return wordCountRDD
def removePunctuat... | {
"repo_name": "jithinjustin/ExploringSpark",
"path": "src/org/spark/wordcount/WordCountTextFile.py",
"copies": "1",
"size": "1426",
"license": "apache-2.0",
"hash": 1326795827954114800,
"line_mean": 30.6888888889,
"line_max": 86,
"alpha_frac": 0.6542776999,
"autogenerated": false,
"ratio": 3.2044... |
__author__ = 'jithinjustin'
import re
import datetime
import os
import sys
sys.path.append("/Users/jithinjustin/spark-1.4.1-bin-hadoop2.6/python/")
from operator import add
from pyspark import SparkContext
from pyspark.sql import Row
month_map = {'Jan': 1, 'Feb': 2, 'Mar':3, 'Apr':4, 'May':5, 'Jun':6, 'Jul':7,
... | {
"repo_name": "jithinjustin/ExploringSpark",
"path": "src/org/spark/loganalysis/LogAnalysis.py",
"copies": "1",
"size": "3343",
"license": "apache-2.0",
"hash": 6185178351835648000,
"line_mean": 30.2523364486,
"line_max": 147,
"alpha_frac": 0.5459168412,
"autogenerated": false,
"ratio": 3.3801820... |
__author__ = 'jitrixis'
class Toolkit:
@staticmethod
def buildIPv4(ip):
build = ""
ip_array = ip.split(".")
for octet in ip_array:
build += chr(int(octet))
return build
@staticmethod
def consumeIPv4(data):
ip = ""
for _ in range(4):
... | {
"repo_name": "Jitrixis/2ARC-Network-stack",
"path": "TVpy/Factory/toolsheds.py",
"copies": "1",
"size": "1767",
"license": "mit",
"hash": 6690936690559202000,
"line_mean": 23.2191780822,
"line_max": 60,
"alpha_frac": 0.4951895869,
"autogenerated": false,
"ratio": 3.7278481012658227,
"config_te... |
__author__ = 'jitrixis'
from random import randint
from TVpy.Layers.all import *
class Forgery:
def __init__(self, sHwr, hAddr):
self.__sHwr = sHwr
self.__sAddr = hAddr
pass
def generateIcmpRequest(self, dHwr, dAddr, seq=1, id=0):
if id == 0:
id = randint(0x0, 0xf... | {
"repo_name": "Jitrixis/2ARC-Network-stack",
"path": "TVpy/Factory/forgery.py",
"copies": "1",
"size": "4058",
"license": "mit",
"hash": -2545289265725496300,
"line_mean": 22.7368421053,
"line_max": 73,
"alpha_frac": 0.544356826,
"autogenerated": false,
"ratio": 3.185243328100471,
"config_test"... |
__author__ = 'jitrixis'
from scapy.all import *
from forgery import *
from harvestery import *
import time
class Engine:
def __init__(self, device):
self.__device = device
self.__forgery = Forgery(get_if_hwaddr(device), get_if_addr(device))
self.__arptable = {}
pass
def getArp... | {
"repo_name": "Jitrixis/2ARC-Network-stack",
"path": "TVpy/Factory/machinery.py",
"copies": "1",
"size": "10081",
"license": "mit",
"hash": -9021599411829213000,
"line_mean": 36.0625,
"line_max": 185,
"alpha_frac": 0.4236682869,
"autogenerated": false,
"ratio": 4.339647008179079,
"config_test":... |
__author__ = 'jitrixis'
from sniffery import Sniffery
class Harvest:
def __init__(self):
self.__sniffery = Sniffery()
def check(self, pks, pkt):
pks = self.__sniffery.sniff(str(pks))
pkt = self.__sniffery.sniff(str(pkt))
if pks is None or pkt is None:
return False
... | {
"repo_name": "Jitrixis/2ARC-Network-stack",
"path": "TVpy/Factory/harvestery.py",
"copies": "1",
"size": "2585",
"license": "mit",
"hash": -5602523490000212000,
"line_mean": 28.0561797753,
"line_max": 62,
"alpha_frac": 0.4777562863,
"autogenerated": false,
"ratio": 3.7247838616714697,
"config_... |
__author__ = 'jitrixis'
from TVpy.Factory.toolsheds import Toolkit
class Tcp:
def __init__(self):
self.__sport = 0
self.__dport = 0
self.__seq = 0
self.__ack = 0
self.__reserved = 0x0
self.__flags = 0x0
self.__window = 0
self.__checksum = 0x0
... | {
"repo_name": "Jitrixis/2ARC-Network-stack",
"path": "TVpy/Layers/Segment/TCP.py",
"copies": "1",
"size": "5099",
"license": "mit",
"hash": 5432649836007839000,
"line_mean": 24.6231155779,
"line_max": 82,
"alpha_frac": 0.5606981761,
"autogenerated": false,
"ratio": 3.7410124724871605,
"config_t... |
__author__ = 'jitrixis'
from TVpy.Factory.toolsheds import Toolkit
class Arp:
def __init__(self):
self.__hwtype = 0x1
self.__ptype = 0x800
self.__hwlen = 6
self.__plen = 4
self.__op = 0x1
self.__hwsrc = '00:00:00:00:00:00'
self.__psrc = '0.0.0.0'
se... | {
"repo_name": "Jitrixis/2ARC-Network-stack",
"path": "TVpy/Layers/Packet/ARP.py",
"copies": "1",
"size": "4401",
"license": "mit",
"hash": -2323430382922605000,
"line_mean": 21.6907216495,
"line_max": 56,
"alpha_frac": 0.5507839127,
"autogenerated": false,
"ratio": 3.4571877454831106,
"config_t... |
__author__ = 'jitrixis'
from TVpy.Factory.toolsheds import Toolkit
class Ethernet:
def __init__(self):
self.__src = '00:00:00:00:00:00'
self.__dst = 'ff:ff:ff:ff:ff:ff'
self.__type = 0x0
'''Destination MAC Address'''
def getDst(self):
return self.__dst
def setDst(se... | {
"repo_name": "Jitrixis/2ARC-Network-stack",
"path": "TVpy/Layers/Frame/Ethernet.py",
"copies": "1",
"size": "1628",
"license": "mit",
"hash": -3551453026710623000,
"line_mean": 20.72,
"line_max": 73,
"alpha_frac": 0.5546683047,
"autogenerated": false,
"ratio": 3.6666666666666665,
"config_test"... |
__author__ = 'jitrixis'
from TVpy.Factory.toolsheds import Toolkit
class Icmp:
def __init__(self):
self.__type = 8
self.__code = 0
self.__checksum = 0x0
self.__id = 0x0
self.__seq = 0x0
'''Type'''
def getType(self):
return self.__type
def setType(sel... | {
"repo_name": "Jitrixis/2ARC-Network-stack",
"path": "TVpy/Layers/Packet/ICMP.py",
"copies": "1",
"size": "2808",
"license": "mit",
"hash": -772656382839468300,
"line_mean": 21.464,
"line_max": 60,
"alpha_frac": 0.5427350427,
"autogenerated": false,
"ratio": 3.7590361445783134,
"config_test": f... |
__author__ = 'jitrixis'
from TVpy.Factory.toolsheds import Toolkit
class Ip:
def __init__(self):
self.__version = 0x45
self.__tos = 0x0
self.__len = 20
self.__id = 1
self.__flags = 0x0
self.__ttl = 64
self.__proto = 0x0
self.__checksum = 0x0
... | {
"repo_name": "Jitrixis/2ARC-Network-stack",
"path": "TVpy/Layers/Packet/IP.py",
"copies": "1",
"size": "5451",
"license": "mit",
"hash": 5892824227686564000,
"line_mean": 23.0176211454,
"line_max": 79,
"alpha_frac": 0.5461383232,
"autogenerated": false,
"ratio": 3.7106875425459496,
"config_tes... |
__author__ = 'jitrixis'
from TVpy.Layers.all import *
class Sniffery:
def __init__(self):
self.__passed = True
self.__type = ""
pass
def sniff(self, data):
self.__passed = True
packet = {}
'''Ethernet'''
valE = self.__sniffEthernet(data)
packe... | {
"repo_name": "Jitrixis/2ARC-Network-stack",
"path": "TVpy/Factory/sniffery.py",
"copies": "1",
"size": "2090",
"license": "mit",
"hash": 6512463191239376000,
"line_mean": 23.6,
"line_max": 58,
"alpha_frac": 0.4550239234,
"autogenerated": false,
"ratio": 3.6538461538461537,
"config_test": false... |
__author__ = 'jjauhiainen'
import RPi.GPIO as GPIO
from robot import run_cli, run
from utils.formatter import convert_int, convert_bool
import time
import sys
class RasBot(object):
red_led = None
green_led = None
auto_mode = True
def __init__(self, red_led=40, green_led=38):
self.red_led = conve... | {
"repo_name": "Atihinen/raspbot",
"path": "raspbot.py",
"copies": "1",
"size": "1681",
"license": "mit",
"hash": 4570181597143675000,
"line_mean": 27.4915254237,
"line_max": 121,
"alpha_frac": 0.5746579417,
"autogenerated": false,
"ratio": 3.296078431372549,
"config_test": false,
"has_no_keyw... |
__author__ = 'jjauhiainen'
import serial
import time
import traceback
class SerialDataAdapter(object):
port = None
baudrate = None
serial_connection = None
def __init__(self, port, baudrate=9600):
self.port = port
self.baudrate = baudrate
def open_connection(self, retry_times=3, ti... | {
"repo_name": "Atihinen/serial2sqlite",
"path": "utils/serial_reader.py",
"copies": "1",
"size": "1489",
"license": "mit",
"hash": 8898885710482322000,
"line_mean": 31.3695652174,
"line_max": 118,
"alpha_frac": 0.5829415715,
"autogenerated": false,
"ratio": 4.525835866261398,
"config_test": fal... |
__author__ = 'jjauhiainen'
import unittest2 as unittest
from models import Category, _empty_val, _not_integer, _too_long, _not_float
class TestCategory(unittest.TestCase):
def test_should_be_valid_with_valid_values(self):
name = ""
for i in range(15):
name = "{}{}".format(name, chr(i))... | {
"repo_name": "Atihinen/ObjectToMap",
"path": "test/test_category.py",
"copies": "1",
"size": "1474",
"license": "mit",
"hash": -6148956175436631000,
"line_mean": 31.7555555556,
"line_max": 76,
"alpha_frac": 0.5535956581,
"autogenerated": false,
"ratio": 3.7698209718670075,
"config_test": true,... |
__author__ = 'jjauhiainen'
from ConfigParser import ConfigParser
from os import path, remove, walk, listdir
import sys
from getopt import getopt
from utils.connector import Darwin
class Manager():
def __init__(self, verbose=None):
self._db_conf = "db_config.ini"
self.evolutions = "evolutions"
... | {
"repo_name": "Atihinen/ObjectToMap",
"path": "manage.py",
"copies": "1",
"size": "7317",
"license": "mit",
"hash": 324878223084749950,
"line_mean": 30.8173913043,
"line_max": 162,
"alpha_frac": 0.5066283996,
"autogenerated": false,
"ratio": 3.9918166939443536,
"config_test": true,
"has_no_ke... |
__author__ = 'jj'
from rest_framework.viewsets import ModelViewSet
from rest_framework.filters import SearchFilter, FilterSet, DjangoFilterBackend
from rest_framework.generics import ListAPIView
from .models_cycu import hfModel
from .serializers import hfSerializer
class hfFilterSet(FilterSet):
"""
Filter ... | {
"repo_name": "LowerSilesians/ferdas",
"path": "cycu/api.py",
"copies": "1",
"size": "1287",
"license": "apache-2.0",
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"line_mean": 26.3829787234,
"line_max": 119,
"alpha_frac": 0.668997669,
"autogenerated": false,
"ratio": 3.29156010230179,
"config_test": false,
"... |
__author__ = 'jjw'
from sizefs.contents import Filler
import re
def test_simple():
filler = Filler(regenerate=False,pattern="0",max_random=128)
contents = filler.fill(16)
assert contents == "0000000000000000"
def test_repeat():
filler = Filler(regenerate=False,pattern="ab",max_random=128)
content... | {
"repo_name": "mmcardle/sizefs",
"path": "sizefs/test/test_contents.py",
"copies": "1",
"size": "1357",
"license": "bsd-3-clause",
"hash": -6816806218511133000,
"line_mean": 29.1555555556,
"line_max": 80,
"alpha_frac": 0.6735445836,
"autogenerated": false,
"ratio": 2.893390191897655,
"config_te... |
__author__ = 'jkessel'
from bs4 import BeautifulSoup
import os
from urllib.error import HTTPError
import urllib.request
# Be sure to create the folder beforehand
output_folder = 'd:\\microsoft_books_new'
try:
if not os.path.exists(output_folder):
os.makedirs(output_folder)
except OSError as ose:
pri... | {
"repo_name": "jkessel/MSBooks",
"path": "fetchBooks.py",
"copies": "1",
"size": "2767",
"license": "mit",
"hash": 137830467726530500,
"line_mean": 34.4743589744,
"line_max": 120,
"alpha_frac": 0.6331767257,
"autogenerated": false,
"ratio": 3.374390243902439,
"config_test": false,
"has_no_key... |
__author__ = 'jkf'
from adengine.model import User, Ad, Comment
def _add_resource(session, resource):
session.add(resource)
session.commit()
return resource
def _new_ad(user, text="ad-text"):
ad = Ad(text=text, author_id=user.id)
return ad
def _new_user(name='Peter'):
user = User(email='{... | {
"repo_name": "py-amigos/adengine",
"path": "tests/models/test_comments.py",
"copies": "1",
"size": "1498",
"license": "artistic-2.0",
"hash": -2779977451793592300,
"line_mean": 27.8076923077,
"line_max": 79,
"alpha_frac": 0.6074766355,
"autogenerated": false,
"ratio": 3.5330188679245285,
"conf... |
__author__ = 'jkf'
import json
from adengine.model import User, Ad, Comment
def build_api_url(id_=None):
if id_ is not None:
return "/api/ads/{}".format(id_)
return "/api/ads"
def _add_resource(session, resource):
session.add(resource)
session.commit()
return resource
def _new_ad(use... | {
"repo_name": "py-amigos/adengine",
"path": "tests/views/test_ads.py",
"copies": "1",
"size": "1519",
"license": "artistic-2.0",
"hash": 6631448246563283000,
"line_mean": 26.125,
"line_max": 75,
"alpha_frac": 0.6175115207,
"autogenerated": false,
"ratio": 3.1978947368421053,
"config_test": fals... |
__author__ = 'jkg'
import json
import random
from collections import defaultdict
from collections import deque
import csv
from datetime import datetime
import pytz
from itertools import izip
import calendar
import simplejson
import sys
class CoordinateGenerator:
__boundaries = []
__minLat = 99999999.0
__... | {
"repo_name": "ircflagship2/geo-scripts",
"path": "googleflu-to-uk-map-mock-data-generator/genCoord.py",
"copies": "1",
"size": "6614",
"license": "mit",
"hash": 3037859856607414000,
"line_mean": 35.1475409836,
"line_max": 228,
"alpha_frac": 0.5489869973,
"autogenerated": false,
"ratio": 3.865575... |
from itertools import product
from itertools import groupby
from itertools import combinations_with_replacement as comb
class Solver:
def __init__(self, length, customers, get_the_first=False):
self.impossible = False
self.solutions = []
self.customers = customers
self.length = length
self.return_first = g... | {
"repo_name": "jkklapp/paintshop",
"path": "solver.py",
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"size": "3057",
"license": "apache-2.0",
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"line_mean": 21.984962406,
"line_max": 69,
"alpha_frac": 0.6790971541,
"autogenerated": false,
"ratio": 3.1678756476683936,
"config_test": false,
"has_... |
from itertools import permutations
class Tester:
def __init__(self):
self.impossible = False
'''
Generates all possible permutations of customers
Args:
* solution: A list containing a solution.
* customers: A list containing customers types.
Returns:
True if the solution satisfies the list of cu... | {
"repo_name": "jkklapp/paintshop",
"path": "tester.py",
"copies": "1",
"size": "1406",
"license": "apache-2.0",
"hash": -2211319619744732700,
"line_mean": 24.5636363636,
"line_max": 64,
"alpha_frac": 0.6970128023,
"autogenerated": false,
"ratio": 3.3238770685579198,
"config_test": false,
"has... |
from random import randint
from random import sample
class Generator:
'''
A case set generator.
Generates test cases with maximum N and M
Attrs:
c: The cases to generate
max_n: The maximum number of colors in the case
max_m: The maximum number of customers in the case.
'''
def __init__(self, max_... | {
"repo_name": "jkklapp/paintshop",
"path": "generator.py",
"copies": "1",
"size": "2713",
"license": "apache-2.0",
"hash": -4312211295733704000,
"line_mean": 22.188034188,
"line_max": 63,
"alpha_frac": 0.6240324364,
"autogenerated": false,
"ratio": 2.7348790322580645,
"config_test": true,
"ha... |
import sys
from random import randint
class Parser:
'''
Checks if a solution satisfies a
provided test case.
'''
def __init__(self, filename):
self.f = open(filename, 'r')
self.c = int(self.f.readline())
self.n = 0
'''
Close the file.
'''
def finish(self):
self.f.close()
'''
Reads the next ... | {
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"path": "parser.py",
"copies": "1",
"size": "1293",
"license": "apache-2.0",
"hash": 5705364497322616000,
"line_mean": 20.1967213115,
"line_max": 79,
"alpha_frac": 0.6194895592,
"autogenerated": false,
"ratio": 2.7987012987012987,
"config_test": false,
"has_... |
import unittest
from solver import Solver
class TestSolver(unittest.TestCase):
def setUp(self):
self.solver = Solver(0, [])
def test_solver_small(self):
self.solver.length = 2
self.solver.customers = [['1 1', '2 0'], ['1 0', '2 1']]
s1 = ['0', '0']
s2 = ['1', '1']
self.solver.compute_solutions()
sol... | {
"repo_name": "jkklapp/paintshop",
"path": "solver_test.py",
"copies": "1",
"size": "2715",
"license": "apache-2.0",
"hash": -3422926210660555300,
"line_mean": 27.8936170213,
"line_max": 76,
"alpha_frac": 0.5819521179,
"autogenerated": false,
"ratio": 2.5589066918001886,
"config_test": true,
... |
__author__ = 'jknair'
from StringIO import StringIO
from client import BoxClient
import client
import json
import ntpath
class BoxSyncClient:
def __init__(self, oauth2_access_token):
self._client = BoxClient(oauth2_access_token)
self.folder_ids = {}
def _get_parent_folder_id(self, path):
... | {
"repo_name": "allmyspace/allmyspace-client",
"path": "space_providers/box/BoxSyncClient.py",
"copies": "1",
"size": "2405",
"license": "mit",
"hash": 7004843381405226000,
"line_mean": 33.3571428571,
"line_max": 112,
"alpha_frac": 0.5920997921,
"autogenerated": false,
"ratio": 3.9621087314662273,... |
__author__ = 'jkordish'
# -*- coding: utf-8 -*-
'''Compare the list of known ip/cve pairs and the ones pulled from cvedetails'''
import csv
import urllib2
from bs4 import BeautifulSoup
old = tuple(csv.reader(open('data/old.csv', "rb"),dialect='excel'))
new = tuple(csv.reader(open('data/new2.csv', "rb"),dialect='exc... | {
"repo_name": "jkordish/Python",
"path": "CVE-compare.py",
"copies": "1",
"size": "1232",
"license": "mit",
"hash": 7621014072237954000,
"line_mean": 29.8,
"line_max": 95,
"alpha_frac": 0.637987013,
"autogenerated": false,
"ratio": 2.9056603773584904,
"config_test": false,
"has_no_keywords": ... |
__author__ = 'jkordish'
# -*- coding: utf-8 -*-
'''Experiment taking CVE data from MITRE and injecting it into a Riak cluster'''
from lxml import etree
import riak
def main():
'''main'''
mitre_xml_import()
def mitre_xml_import():
'''Pull in the xml file from mitre containing all CVEs'''
tree = etre... | {
"repo_name": "jkordish/Python",
"path": "Mitre-CVE-XML-To-Riak.py",
"copies": "1",
"size": "1956",
"license": "mit",
"hash": 6559018173850729000,
"line_mean": 26.1805555556,
"line_max": 80,
"alpha_frac": 0.5163599182,
"autogenerated": false,
"ratio": 3.4497354497354498,
"config_test": false,
... |
__author__ = 'jkordish'
# -*- coding: utf-8 -*-
'''Experiment taking CVE data from NVDCVE and injecting it into a Riak cluster
Can't recall what this particular version of the script did - been a long time '''
from lxml import etree
import os
import riak
import time
def main():
start_time = time.time()
parse_... | {
"repo_name": "jkordish/Python",
"path": "nvdcve-xml-parser-new.py",
"copies": "1",
"size": "4816",
"license": "mit",
"hash": 3487599142043366400,
"line_mean": 38.1544715447,
"line_max": 130,
"alpha_frac": 0.4647009967,
"autogenerated": false,
"ratio": 4.3,
"config_test": false,
"has_no_keywo... |
__author__ = 'jkordish'
# -*- coding: utf-8 -*-
'''Experiment taking CVE data from NVDCVE and injecting it into a Riak cluster'''
from lxml import etree
import os
import uuid
import riak
def main():
cve_get_cvss()
# cve_get_refs()
cve_get_version()
def cve_get_cvss():
bucket='cve_cvss'
for direct... | {
"repo_name": "jkordish/Python",
"path": "nvdcve-XML-To-Riak.py",
"copies": "1",
"size": "4185",
"license": "mit",
"hash": -4453123988842329000,
"line_mean": 33.0325203252,
"line_max": 130,
"alpha_frac": 0.5091995221,
"autogenerated": false,
"ratio": 3.8535911602209945,
"config_test": false,
... |
__author__ = 'jkruck'
from flask import Flask, redirect, url_for, request, session,abort
from strava import strava_utils
Flask.get = lambda self, path: self.route(path, methods=['get'])
Flask.put = lambda self, path: self.route(path, methods=['put'])
Flask.post = lambda self, path: self.route(path, methods=['post'])
F... | {
"repo_name": "krujos/strava-yoy",
"path": "stravayoy.py",
"copies": "1",
"size": "1502",
"license": "apache-2.0",
"hash": 2466181122465811500,
"line_mean": 32.3777777778,
"line_max": 91,
"alpha_frac": 0.6597869507,
"autogenerated": false,
"ratio": 3.315673289183223,
"config_test": false,
"ha... |
__author__ = 'jkruck'
import unittest
from os import environ
from mock import patch
import flask
#Setup the environment variables so the setup code executes. Seems like there should be a
#way to mock with with patch, but I could not figure it out.
environ['CLIENT_SECRET'] = 'secret'
environ['CLIENT_ID'] = '12334'
i... | {
"repo_name": "krujos/strava-yoy",
"path": "test/test_app.py",
"copies": "1",
"size": "1588",
"license": "apache-2.0",
"hash": -9186471176995405000,
"line_mean": 32.0833333333,
"line_max": 117,
"alpha_frac": 0.6366498741,
"autogenerated": false,
"ratio": 3.482456140350877,
"config_test": true,
... |
__author__ = 'jldaniel'
from abc import ABCMeta
from abc import abstractmethod
from abc import abstractproperty
class ModelBase(object):
"""
The optimization model abstract base class
"""
__metaclass__ = ABCMeta
def __init__(self):
"""
Initialize the ModelBase.
@return: N... | {
"repo_name": "jldaniel/Athena",
"path": "AthenaOpt/model_base.py",
"copies": "1",
"size": "4278",
"license": "mit",
"hash": -15428631707869132,
"line_mean": 23.5862068966,
"line_max": 79,
"alpha_frac": 0.579943899,
"autogenerated": false,
"ratio": 4.8668941979522184,
"config_test": false,
"h... |
__author__ = 'jldaniel'
from algorithm_base import AlgorithmBase
from common import Individual
from converger import Converger
from history import History
class Islands(AlgorithmBase):
"""
The Islands optimization algorithm.
"""
def __init__(self):
"""
Initialize the Islands algorithm... | {
"repo_name": "jldaniel/Athena",
"path": "AthenaOpt/islands.py",
"copies": "1",
"size": "6334",
"license": "mit",
"hash": -733721720920086700,
"line_mean": 34.9886363636,
"line_max": 118,
"alpha_frac": 0.568203347,
"autogenerated": false,
"ratio": 4.169848584595129,
"config_test": false,
"has... |
__author__ = 'jldaniel'
from common import Individual
from json import dumps
class History(object):
"""
The optimization run history.
"""
def __init__(self):
"""
Initialize the History.
@return: None
"""
self._generations = []
def add_population(self, pop... | {
"repo_name": "jldaniel/Athena",
"path": "AthenaOpt/history.py",
"copies": "1",
"size": "1190",
"license": "mit",
"hash": 2408701377584868000,
"line_mean": 23.7916666667,
"line_max": 92,
"alpha_frac": 0.5949579832,
"autogenerated": false,
"ratio": 4.440298507462686,
"config_test": false,
"has... |
__author__ = 'jldaniel'
from sys import float_info
from math import fabs
from scipy.spatial.distance import euclidean
# TODO (JLD): Compute difference in values for metrics
# TODO (JLD): Include distance metric for decision space
class Converger(object):
"""
Converger class that checks optimization run pr... | {
"repo_name": "jldaniel/Athena",
"path": "AthenaOpt/converger.py",
"copies": "1",
"size": "10128",
"license": "mit",
"hash": -1152828291386859400,
"line_mean": 34.914893617,
"line_max": 119,
"alpha_frac": 0.6250987362,
"autogenerated": false,
"ratio": 4.095430651031136,
"config_test": false,
... |
__author__ = 'jlegind'
from urllib import parse, request
import requests
import json
import collections
import csv
class SearchAPI(object):
def __init__(self, url, read_path, write_path, suffix='', separator='\t'):
"""
:param url: JSON api url
:param read_path: File that contains the sear... | {
"repo_name": "jlegind/GBIF-API-caller",
"path": "searchAPI.py",
"copies": "1",
"size": "9454",
"license": "cc0-1.0",
"hash": -8881800756066462000,
"line_mean": 41.2098214286,
"line_max": 204,
"alpha_frac": 0.5462238206,
"autogenerated": false,
"ratio": 3.7831132452981193,
"config_test": false,... |
__author__ = "J.L. Lanfranchi"
__email__ = "jll1062@phys.psu.edu"
__copyright__ = "Copyright 2014 J.L. Lanfranchi"
__credits__ = ["J.L. Lanfranchi"]
__license__ = """Permission is hereby granted, free of charge, to any person
obtaining a copy of this software and associated documentation files (the
"Software"), to deal... | {
"repo_name": "jllanfranchi/pygeneric",
"path": "author.py",
"copies": "1",
"size": "1192",
"license": "mit",
"hash": -8905888585386323000,
"line_mean": 55.7619047619,
"line_max": 78,
"alpha_frac": 0.7768456376,
"autogenerated": false,
"ratio": 4.110344827586207,
"config_test": false,
"has_no... |
__author__ = 'jludvice'
# This is script for generating mapping between keyboard keycodes and symbols that should be printed.
# It expects linux header file input.h and writes mapping as java properties file
import re
regex = re.compile('#define +KEY_(?P<key>\w+)[ \t]+(?P<code>\w+)')
SOURCE_FILE_PATH = 'input.h'
PRE... | {
"repo_name": "ludvicekj/keyboard-listener",
"path": "key_mapping/mapping_generator.py",
"copies": "1",
"size": "1669",
"license": "apache-2.0",
"hash": 1545290450070855200,
"line_mean": 38.7380952381,
"line_max": 101,
"alpha_frac": 0.5769922109,
"autogenerated": false,
"ratio": 3.725446428571428... |
__author__ = 'jmartinez'
__version__ = '1.0.2'
import os
import click
import requests
import requirements
import shutil
import subprocess
import sys
import tarfile
import tempfile
import zipfile
from datetime import date
from glob import glob as ls
from jinja2 import Environment, FileSystemLoader
from uuid import uui... | {
"repo_name": "ncode/spec-from-pypi",
"path": "specfrompypi/__init__.py",
"copies": "1",
"size": "6993",
"license": "apache-2.0",
"hash": -756260713114412500,
"line_mean": 31.9858490566,
"line_max": 80,
"alpha_frac": 0.5792935793,
"autogenerated": false,
"ratio": 3.9242424242424243,
"config_tes... |
import math
class DescriptiveStatistics(object):
def the_sum_of_scores_from_list(self, list_of_values):
# SigmaX
my_sum = sum(list_of_values)
return my_sum
def square_all_values_in_list(self, list_of_values):
# X^2
squared_list = [X ** 2 for X in list_of_values]
... | {
"repo_name": "jmategk0/simpleStatistics",
"path": "simpleStatistics.py",
"copies": "1",
"size": "15750",
"license": "mit",
"hash": 2352545865549315600,
"line_mean": 43.7443181818,
"line_max": 136,
"alpha_frac": 0.6481269841,
"autogenerated": false,
"ratio": 3.723404255319149,
"config_test": fa... |
__author__ = 'jmatsen'
import pandas as pd
import seaborn as sns
import aggregate_mummer_results
import name_extractions
import filter_aggregated_data
import matplotlib.pyplot as plt
import matplotlib as mpl
def plot_identity_vs_len(filepath, save_path='./plots/'):
"""
Make a little scatter plot with a dot... | {
"repo_name": "JanetMatsen/meta4_bins_janalysis",
"path": "compare_bins/support_files/plotting.py",
"copies": "1",
"size": "6174",
"license": "bsd-2-clause",
"hash": 3938784520679248400,
"line_mean": 35.1052631579,
"line_max": 82,
"alpha_frac": 0.6086815679,
"autogenerated": false,
"ratio": 3.668... |
__author__ = 'jmccrae'
import unittest
import sqlite3
import WNRDF
class MyTestCase(unittest.TestCase):
def test_synset(self):
context = WNRDF.WNRDFContext("wordnet_3.1+.db")
graph = WNRDF.synset(context, 100001740)
print graph.serialize()
assert(graph)
def test_entry(self):
... | {
"repo_name": "jmccrae/wn-rdf",
"path": "WNRDFTest.py",
"copies": "1",
"size": "1646",
"license": "bsd-3-clause",
"hash": -2280484318320305200,
"line_mean": 28.3928571429,
"line_max": 58,
"alpha_frac": 0.6215066829,
"autogenerated": false,
"ratio": 3.4008264462809916,
"config_test": true,
"ha... |
__author__ = 'jmeireles'
from gi.repository import Gtk, Gdk
from helper import Helper
from browser import Browser
from html import Html
import os
class Player:
extra_links = []
def __init__(self):
self.browser = Browser()
self.html = Html()
self.builder = Gtk.Builder()
self.... | {
"repo_name": "Faianca/Anime-Tv-shows-Scrapper",
"path": "gui/player.py",
"copies": "1",
"size": "1723",
"license": "apache-2.0",
"hash": 8962775382850822000,
"line_mean": 26.7903225806,
"line_max": 88,
"alpha_frac": 0.6210098665,
"autogenerated": false,
"ratio": 3.473790322580645,
"config_test... |
__author__ = 'jmeireles'
from gi.repository import Gtk
class Grid():
widget_list = []
WIDGET_SIZE = 100
COLS = 4
NUM = 100
grid = ""
def __init__(self):
grid = Gtk.Grid()
grid.set_column_spacing(10)
grid.set_row_spacing(10)
grid.set_column_homogeneous(True)
... | {
"repo_name": "Faianca/Anime-Tv-shows-Scrapper",
"path": "helpers/drawers.py",
"copies": "1",
"size": "1708",
"license": "apache-2.0",
"hash": -9197345798939844000,
"line_mean": 22.7222222222,
"line_max": 92,
"alpha_frac": 0.5398126464,
"autogenerated": false,
"ratio": 3.492842535787321,
"confi... |
__author__ = 'jmeireles'
import bs4
import requests
import re
import urllib
import os
class Href():
img = ""
title = ""
link = ""
class Search():
domain = "http://www.animehere.com"
href = []
def __init__(self):
pass
def search(self, keyword):
self.href = []
ur... | {
"repo_name": "Faianca/Anime-Tv-shows-Scrapper",
"path": "scrapper/search.py",
"copies": "1",
"size": "1056",
"license": "apache-2.0",
"hash": 1504789935937168600,
"line_mean": 24.7804878049,
"line_max": 100,
"alpha_frac": 0.5075757576,
"autogenerated": false,
"ratio": 3.925650557620818,
"confi... |
__author__ = 'jmeireles'
import os
import requests
from urllib import urlencode
from urlparse import parse_qs, urlsplit, urlunsplit
class Helper:
codes = [
200,
301,
302
]
@staticmethod
def get_resource_path(rel_path):
dir_of_py_file = os.path.dirname(__file__)
... | {
"repo_name": "Faianca/Anime-Tv-shows-Scrapper",
"path": "gui/helper.py",
"copies": "1",
"size": "1178",
"license": "apache-2.0",
"hash": -8388999828388882000,
"line_mean": 27.0714285714,
"line_max": 85,
"alpha_frac": 0.6281833616,
"autogenerated": false,
"ratio": 3.6134969325153374,
"config_te... |
__author__ = 'jmeireles'
import re
from fetcher import AbstractFetcher
from urllib import unquote
class Fetcher(AbstractFetcher):
rootApi = "/api/player.api.php"
keys = {
"domain": "undefined",
"file": "undefined",
"filekey": "undefined",
"cid": "undefined",
}
def fet... | {
"repo_name": "Faianca/video-spider",
"path": "videospider/domains/videoweed.py",
"copies": "1",
"size": "1256",
"license": "mit",
"hash": 3932377586990110000,
"line_mean": 26.9111111111,
"line_max": 98,
"alpha_frac": 0.527866242,
"autogenerated": false,
"ratio": 3.6091954022988504,
"config_tes... |
__author__ = 'jmeireles'
import string
from helper import Helper
class Html:
def __init__(self):
self.html_page = "/home/jmeireles/Anime-Tv-shows-Scrapper/server/public/index.html"#Helper.get_resource_path("test.html")
self.html = string.Template('''
<!DOCTYPE HTML>
<html>
<head>
<tit... | {
"repo_name": "Faianca/Anime-Tv-shows-Scrapper",
"path": "gui/html.py",
"copies": "1",
"size": "1647",
"license": "apache-2.0",
"hash": -5687234213242118000,
"line_mean": 30.6923076923,
"line_max": 137,
"alpha_frac": 0.6187006679,
"autogenerated": false,
"ratio": 3.2294117647058824,
"config_tes... |
__author__ = 'jmeireles'
from gi.repository import WebKit
class Browser():
def __init__(self):
self.browser = WebKit.WebView()
self.browser.connect("load-finished", self.load_finished)
browser_settings = WebKit.WebSettings()
test = 'Mozilla/5.0 (iPad; U; CPU OS 3_2 like Mac OS X;... | {
"repo_name": "Faianca/Anime-Tv-shows-Scrapper",
"path": "gui/browser.py",
"copies": "1",
"size": "1470",
"license": "apache-2.0",
"hash": 2169432130302117600,
"line_mean": 38.7567567568,
"line_max": 159,
"alpha_frac": 0.6544217687,
"autogenerated": false,
"ratio": 3.168103448275862,
"config_te... |
__author__ = 'jmeireles'
import bs4
import requests
import re
import urllib
import os
from gui.helper import Helper
import json
from tld import get_tld
from series import Series
from episode import Episode
class Scrapper():
valid_extensions = ['.mp4', '.flv']
def __init__(self):
self.title = ""
... | {
"repo_name": "Faianca/Anime-Tv-shows-Scrapper",
"path": "scrapper/scrapper.py",
"copies": "1",
"size": "2305",
"license": "apache-2.0",
"hash": -5431757400775776000,
"line_mean": 25.1931818182,
"line_max": 117,
"alpha_frac": 0.5739696312,
"autogenerated": false,
"ratio": 3.7297734627831716,
"c... |
__author__ = 'jmeline'
from .. import serviceBase
# from ...ODM2.models import *
from ODM2PythonAPI.src.api.ODM2 import models
# ################################################################################
# Annotations
# ################################################################################
def conver... | {
"repo_name": "Castronova/ODM2PythonAPI",
"path": "src/api/ODM2/services/deleteService.py",
"copies": "1",
"size": "6567",
"license": "bsd-3-clause",
"hash": 5940551970214300000,
"line_mean": 28.1866666667,
"line_max": 119,
"alpha_frac": 0.3899802041,
"autogenerated": false,
"ratio": 5.5184873949... |
__author__ = 'jmeline'
from matplotlib.mlab import griddata
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
try:
import flickrapi
except ImportError as e:
print(e)
from geodata.JsonConfigHandler import JsonConfigHandler
from common.termcolor import colored
apikey = None
secret = None... | {
"repo_name": "jmeline/geodata-mapper",
"path": "example2.py",
"copies": "1",
"size": "1562",
"license": "mit",
"hash": 4694383630857697000,
"line_mean": 24.6229508197,
"line_max": 88,
"alpha_frac": 0.6421254802,
"autogenerated": false,
"ratio": 3.227272727272727,
"config_test": false,
"has_n... |
__author__ = 'jmeline'
from sqlalchemy import func
import pandas as pd
from ...ODM2.models import *
from .. import serviceBase
from ODM2PythonAPI.src.api.ODM2 import models
class ReadODM2( serviceBase ):
'''
def __init__(self, session):
self._session = session
'''
# ###########################... | {
"repo_name": "Castronova/ODM2PythonAPI",
"path": "src/api/ODM2/services/readService.py",
"copies": "1",
"size": "21883",
"license": "bsd-3-clause",
"hash": -54760110941138120,
"line_mean": 27.7555847569,
"line_max": 137,
"alpha_frac": 0.5334734726,
"autogenerated": false,
"ratio": 4.890055865921... |
__author__ = 'jm'
import matplotlib as mp
print "Testing my hello Wordl"
#x = 15
#x = x +52
#print x
#name = raw_input("Enter your name")
#print "Hello " + name
## This first line is provided for you
#hrs = raw_input("Enter Hours:")
#rph = raw_input("Enter rate:")
#fhrs = float(hrs)
#frph = float(rph)
#pay = fh... | {
"repo_name": "snajperro/R",
"path": "Python-ProgEvOne/main.py",
"copies": "4",
"size": "2905",
"license": "mit",
"hash": 1535634059158205000,
"line_mean": 23.4201680672,
"line_max": 97,
"alpha_frac": 0.613080895,
"autogenerated": false,
"ratio": 3.0355276907001043,
"config_test": false,
"has... |
__author__ = 'jmoffitt'
import requests
import threading #needed for any streaming HTTP connection
import json
#TODO: header details (differences in GET/POST/DELETE/STREAM)
'''
A generic class for POSTing requests to Gnip APIs.
These include adding/deleting Rules, submitting Historical jobs, etc.
'''
class pt... | {
"repo_name": "jimmoffitt/pyPowerTrack",
"path": "ptHTTP.py",
"copies": "1",
"size": "3127",
"license": "mit",
"hash": 7261179202286483000,
"line_mean": 27.1711711712,
"line_max": 100,
"alpha_frac": 0.6024944036,
"autogenerated": false,
"ratio": 3.7720144752714115,
"config_test": false,
"has_... |
__author__ = 'jmoffitt'
#TODO: add error handling.
#TODO: return success/error flags.
#TODO: add 'verbose' switch.... add logging?
import json
class Rules:
MAX_API_BATCH = 5000
def __init__(self):
#print "Creating Rules object..."
pass
'''
Determine the number of necessary req... | {
"repo_name": "jimmoffitt/pyPowerTrack",
"path": "ptRules.py",
"copies": "1",
"size": "5407",
"license": "mit",
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"autogenerated": false,
"ratio": 4.332532051282051,
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"has_... |
__author__ = 'jmoran'
from Asteroids import MovingObject
from Asteroids.Colors import *
from random import getrandbits, randint
from math import sin, cos, radians
class Asteroid(MovingObject):
def __init__(self, window, game, init_point, size):
slope = (1 if getrandbits(1) else -1, 1 if getrandbits(1) el... | {
"repo_name": "waddedMeat/asteroids-ish",
"path": "Asteroids/Asteroid.py",
"copies": "1",
"size": "1971",
"license": "mit",
"hash": 7075534629843141000,
"line_mean": 35.5,
"line_max": 93,
"alpha_frac": 0.5449010654,
"autogenerated": false,
"ratio": 3.1435406698564594,
"config_test": false,
"h... |
__author__ = 'jmoran'
from Asteroids import MovingObject
from Asteroids.Colors import *
class Bullet(MovingObject):
def __init__(self, window, game, init_point, slope):
MovingObject.__init__(self, window, game, init_point, slope)
self.frames = 0
def draw(self):
if self.frames % 2 == ... | {
"repo_name": "waddedMeat/asteroids-ish",
"path": "Asteroids/Bullet.py",
"copies": "1",
"size": "1362",
"license": "mit",
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__author__ = 'jmoran'
from Asteroids import Object, Asteroid
from random import randint
class AsteroidBelt(Object):
def __init__(self, window, game, count):
Object.__init__(self, window, game)
self.asteroids = []
for i in range(0, count):
init_point = (randint(0, self.wWidth),... | {
"repo_name": "waddedMeat/asteroids-ish",
"path": "Asteroids/AsteroidBelt.py",
"copies": "1",
"size": "1028",
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"line_mean": 28.4,
"line_max": 83,
"alpha_frac": 0.5758754864,
"autogenerated": false,
"ratio": 3.4266666666666667,
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... |
__author__ = 'jmoran'
import pygame
import sys
from pygame.locals import *
from Asteroids import *
pygame.init()
screen = pygame.display.set_mode((800, 600))
pygame.display.set_caption("Asteroids(ish)")
pygame.key.set_repeat(30, 30)
clock = pygame.time.Clock()
ship = Ship(screen, pygame)
bullet = None
level = ... | {
"repo_name": "waddedMeat/asteroids-ish",
"path": "main.py",
"copies": "1",
"size": "1405",
"license": "mit",
"hash": 9216613648065867000,
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"line_max": 75,
"alpha_frac": 0.5551601423,
"autogenerated": false,
"ratio": 3.393719806763285,
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"has_no_... |
__author__ = 'jnelson'
from thriftapi.shared.ttypes import Type
from thriftapi.data.ttypes import TObject
from types import *
import struct
import inspect
def python_to_thrift(value):
"""
Serialize a value to its thrift representation.
:param value:
:return: the TObject representation
"""
if i... | {
"repo_name": "savanibharat/concourse",
"path": "concourse-driver-python/concourse/utils.py",
"copies": "7",
"size": "4626",
"license": "apache-2.0",
"hash": -4275133207957916000,
"line_mean": 32.7737226277,
"line_max": 137,
"alpha_frac": 0.6037613489,
"autogenerated": false,
"ratio": 3.569444444... |
__author__ = 'jnelson'
from thriftapi.shared.ttypes import Type
from thriftapi.data.ttypes import TObject
from types import *
import struct
import parsedatetime
from time import mktime
cal = parsedatetime.Calendar()
def python_to_thrift(value):
"""
Serialize a value to its thrift representation.
:param v... | {
"repo_name": "MattiasZurkovic/concourse",
"path": "concourse-driver-python/concourse/utils.py",
"copies": "2",
"size": "2762",
"license": "apache-2.0",
"hash": 5854282097359818000,
"line_mean": 28.3936170213,
"line_max": 87,
"alpha_frac": 0.6053584359,
"autogenerated": false,
"ratio": 3.76294277... |
__author__ = 'jnelson'
class Tag:
"""
A Tag is a String data type that does not get full-text indexed.
Each Tag is equivalent to its String counterpart. Tags merely exist for the
client to instruct Concourse not to full text index the data. Tags are stored
as Strings within Concourse. And any val... | {
"repo_name": "MattiasZurkovic/concourse",
"path": "concourse-driver-python/concourse/types.py",
"copies": "2",
"size": "1409",
"license": "apache-2.0",
"hash": -6768827133683281000,
"line_mean": 25.0925925926,
"line_max": 81,
"alpha_frac": 0.6089425124,
"autogenerated": false,
"ratio": 4.2312312... |
__author__ = 'j'
# execfile("c:\\myfiles\\PCBM_SVA_1.py")
# there are a few objects which are automatically visible in WxDiff Python scripts:
# wx: module WxPython - so you can create Messages with wx.MessageBox('Hello there.'. 'Greeting')
# wxdiff_api: this is the api exposed by the WxDiff program - all the good stu... | {
"repo_name": "PalmDr/XRD-Data-Analysis-Toolkit",
"path": "Beta1.4/SQ_Pilatus.py",
"copies": "1",
"size": "2322",
"license": "apache-2.0",
"hash": 3775692105912675300,
"line_mean": 46.4081632653,
"line_max": 170,
"alpha_frac": 0.6274763135,
"autogenerated": false,
"ratio": 3.3410071942446042,
"... |
__author__ = 'j'
from tkinter import ttk
from tkinter import *
from TreeView import *
def buildFrame(root):
sub_1 = Frame(root)
sub_1.pack(side=LEFT,anchor = 'w', fill='both', expand=True)
sub_1_1 = Frame(sub_1)
sub_1_1.pack(side=TOP, anchor='n',fill='both',expand=True)
sub_1_2 = Frame(sub_1)
... | {
"repo_name": "PalmDr/XRD-Data-Analysis-Toolkit",
"path": "Beta1.3/Builder.py",
"copies": "1",
"size": "2100",
"license": "apache-2.0",
"hash": 135369824063685820,
"line_mean": 30.8333333333,
"line_max": 91,
"alpha_frac": 0.6519047619,
"autogenerated": false,
"ratio": 2.5925925925925926,
"confi... |
__author__ = 'J'
import math
import matplotlib.pyplot as plt
def plot_squashing_functions(lin, neg_lin, log, neg_log, exp, neg_exp):
x = [i*0.02 for i in range(-25, 75)]
plt_y_min = -0.1
plt_y_max = 1.1
if lin:
linear = [0 for i in x[:26]]
[linear.append(i) for i in x[26:76]]
... | {
"repo_name": "dynamics-team/requirements-editor",
"path": "sandbox/jklingler/scripts/make_plots.py",
"copies": "1",
"size": "3813",
"license": "mit",
"hash": 3151724139596540400,
"line_mean": 34.6355140187,
"line_max": 107,
"alpha_frac": 0.5323891949,
"autogenerated": false,
"ratio": 2.820266272... |
__author__ = 'j'
import os
from tkinter import *
from matplotlib.figure import Figure
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2TkAgg
from Builder import *
from TreeView import *
from ConvertCSV import *
from SQ_Pilatus import *
class DataAnalysis():
def __init__(self)... | {
"repo_name": "PalmDr/XRD-Data-Analysis-Toolkit",
"path": "Beta1.4/DataAnalysisClass.py",
"copies": "1",
"size": "4047",
"license": "apache-2.0",
"hash": 8234360858568452000,
"line_mean": 33.8965517241,
"line_max": 120,
"alpha_frac": 0.6071163825,
"autogenerated": false,
"ratio": 3.39798488664987... |
__author__ = 'joan.aguilar'
from scapy.all import *
from threading import Thread, Event
import logging
logging.getLogger("scapy.runtime").setLevel(logging.ERROR) # Shut up Scapy
import random
import sys
import optparse
class TimedFunct(Thread):
def __init__(self, interval, function, repetitions=0, args=[], kwar... | {
"repo_name": "jag34/pydhcpc",
"path": "dhcpc.py",
"copies": "1",
"size": "6716",
"license": "bsd-3-clause",
"hash": 1238540508517006800,
"line_mean": 32.9191919192,
"line_max": 118,
"alpha_frac": 0.53871352,
"autogenerated": false,
"ratio": 3.8137421919363996,
"config_test": false,
"has_no_k... |
from struct import Struct
from collections import namedtuple
from math import modf
from datetime import datetime
from os import SEEK_END
import numpy as np
from ...utils import warn
def _read_teeg(f, teeg_offset):
"""
Read TEEG structure from an open CNT file.
# from TEEG structure in http://paulbourk... | {
"repo_name": "olafhauk/mne-python",
"path": "mne/io/cnt/_utils.py",
"copies": "14",
"size": "4901",
"license": "bsd-3-clause",
"hash": 8121528650666984000,
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"line_max": 79,
"alpha_frac": 0.5860028566,
"autogenerated": false,
"ratio": 3.721336370539104,
"config_test": ... |
from struct import Struct
from collections import namedtuple
from math import modf
from datetime import datetime
from ...utils import warn
def _read_teeg(f, teeg_offset):
"""
Read TEEG structure from an open CNT file.
# from TEEG structure in http://paulbourke.net/dataformats/eeg/
typedef struct {
... | {
"repo_name": "adykstra/mne-python",
"path": "mne/io/cnt/_utils.py",
"copies": "2",
"size": "3329",
"license": "bsd-3-clause",
"hash": 2532147956077407000,
"line_mean": 34.0421052632,
"line_max": 79,
"alpha_frac": 0.5743466506,
"autogenerated": false,
"ratio": 3.8574739281575896,
"config_test":... |
import numpy as np
import os.path as op
from io import BytesIO
from ...annotations import Annotations
from .res4 import _read_res4
from .info import _convert_time
def _get_markers(fname):
def consume(fid, predicate): # just a consumer to move around conveniently
while(predicate(fid.readline())):
... | {
"repo_name": "rkmaddox/mne-python",
"path": "mne/io/ctf/markers.py",
"copies": "14",
"size": "2886",
"license": "bsd-3-clause",
"hash": -6199053985705706000,
"line_mean": 34.1951219512,
"line_max": 79,
"alpha_frac": 0.6077616078,
"autogenerated": false,
"ratio": 3.7431906614785992,
"config_tes... |
__author__ = "joanne cohn"
__email__ = "jcohn@berkeley.edu"
__version__= "1.0"
def overview():
"""
plots a simulated data set B-band luminsoity function (histogram) along with that in
Beare et al (points)
FILES NEEDED (3 including this one):
import this file to run commands
have file "Beare_15.txt" (in same dir... | {
"repo_name": "jdcphysics/validation",
"path": "codes/Bband/BOOTES_lf.py",
"copies": "2",
"size": "8225",
"license": "mit",
"hash": 8960173083828847000,
"line_mean": 31.7689243028,
"line_max": 168,
"alpha_frac": 0.6280851064,
"autogenerated": false,
"ratio": 2.5695095282724147,
"config_test": f... |
__author__ = "joanne cohn"
__email__ = "jcohn@berkeley.edu"
__version__= "1.1"
def overview():
"""
plots a simulated data set stellar mass function (histogram) along with that in
Moustakas et al, 2013 (points plus error bars)
for z<0.2, this is SDSS-GALEX data, for z>0.2 it is PRIMUS data
FILES NEEDED (5 includin... | {
"repo_name": "joannedafna/validation",
"path": "codes/StellarMass/PRIMUS_stellar.py",
"copies": "2",
"size": "12684",
"license": "mit",
"hash": -3976855069828594000,
"line_mean": 42.7379310345,
"line_max": 280,
"alpha_frac": 0.6224377168,
"autogenerated": false,
"ratio": 2.343680709534368,
"co... |
__author__ = "joanne cohn"
__email__ = "jcohn@berkeley.edu"
__version__= "1.1" #updated BWC M*(Mh) from newer version of paper
import numpy as N
import matplotlib.pyplot as plt
import matplotlib
import matplotlib.cm as cm
import matplotlib.mlab as mlab
def comments():
"""
Please do email me if you... | {
"repo_name": "joannedafna/validation",
"path": "codes/vsuite/valid_suite.py",
"copies": "2",
"size": "59806",
"license": "mit",
"hash": -4876100090465493000,
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"autogenerated": false,
"ratio": 2.497786316932587,
"config_tes... |
__author__ = 'Joao Goncalves'
import os
import re
import math
from numpy import array
LOG_CPU_NAME = "velox_cpu_log"
LOG_MEM_NAME = "velox_mem_log"
# Where the log files can be found
DIR_PRE = "/home/user/log_files/"
# Subdirectories, in case you produced several measurements
DIR = ["m1", "m2", "m3"]
last_cpu_value ... | {
"repo_name": "OneSourceConsult/JavaProfiling-tool",
"path": "LoggerParser/lp_sys.py",
"copies": "1",
"size": "5043",
"license": "apache-2.0",
"hash": -7162776935940551000,
"line_mean": 31.5419354839,
"line_max": 147,
"alpha_frac": 0.570890343,
"autogenerated": false,
"ratio": 3.412043301759134,
... |
__author__ = 'Joao Goncalves'
import re
import os
import sys
import math
class Measurement:
pass
LOG_NAME = "log"
# Where the log files can be found
DIR_PRE = "/home/user/log_files/"
# Subdirectories, in case you produced several measurements
DIR = ["m1", "m2", "m3"]
# Another branch of subdirectories inside wh... | {
"repo_name": "OneSourceConsult/JavaProfiling-tool",
"path": "LoggerParser/lp.py",
"copies": "1",
"size": "7773",
"license": "apache-2.0",
"hash": -3642291735995741000,
"line_mean": 30.096,
"line_max": 178,
"alpha_frac": 0.525923067,
"autogenerated": false,
"ratio": 3.731637061929909,
"config_t... |
__author__ = 'Jody Shumaker'
from ctypes import *
import win32con
import win32gui
import win32api
import time
import logging
# noinspection PyPep8Naming
class _point_t(Structure):
_fields_ = [
('x', c_long),
('y', c_long),
]
class Mouse:
@staticmethod
def get_position():
p... | {
"repo_name": "jshumaker/LoA",
"path": "utility/mouse.py",
"copies": "1",
"size": "2107",
"license": "mit",
"hash": 791416374235266600,
"line_mean": 27.4864864865,
"line_max": 66,
"alpha_frac": 0.5923113431,
"autogenerated": false,
"ratio": 3.4597701149425286,
"config_test": false,
"has_no_ke... |
__author__ = 'Jody Shumaker'
from utility.mouse import *
from utility.screen import *
from utility.logconfig import *
import argparse
import os.path
from loa import *
script_dir = os.path.dirname(os.path.realpath(__file__))
parser = argparse.ArgumentParser(description='Automatically join world boss.', formatter_clas... | {
"repo_name": "jshumaker/LoA",
"path": "worldboss.py",
"copies": "1",
"size": "5491",
"license": "mit",
"hash": -4977863175756313000,
"line_mean": 33.7594936709,
"line_max": 134,
"alpha_frac": 0.6317610636,
"autogenerated": false,
"ratio": 3.3118214716525936,
"config_test": false,
"has_no_key... |
__author__ = 'Jody Shumaker'
import itertools
import copy
import sys
import logging
import time
import random
from multiprocessing import Pool, cpu_count
import signal
from utility.logconfig import *
from PIL import ImageGrab
from utility.mouse import *
from utility.screen import *
# Adjustment factor for each leve... | {
"repo_name": "jshumaker/LoA",
"path": "grid.py",
"copies": "1",
"size": "25224",
"license": "mit",
"hash": -8047542252418626000,
"line_mean": 36.8753753754,
"line_max": 120,
"alpha_frac": 0.5227164605,
"autogenerated": false,
"ratio": 3.896802101035069,
"config_test": false,
"has_no_keywords... |
__author__ = 'Jody Shumaker'
import logging
import os
import os.path
import glob
import datetime
VERBOSE = 15
logging.addLevelName(VERBOSE, "VERBOSE")
def logconfig(name, loglevel):
logger = logging.getLogger('')
logger.setLevel(loglevel)
# Rotate logs and create new filename.
if not os.path.exist... | {
"repo_name": "jshumaker/LoA",
"path": "utility/logconfig.py",
"copies": "1",
"size": "1286",
"license": "mit",
"hash": 281179944354440740,
"line_mean": 29.6428571429,
"line_max": 116,
"alpha_frac": 0.666407465,
"autogenerated": false,
"ratio": 3.6123595505617976,
"config_test": false,
"has_n... |
__author__ = 'Jody Shumaker'
import math
import sys
import logging
import win32gui
import win32con
import win32ui
import win32com.client
from ctypes import *
from PIL import ImageGrab, Image
import time
class Color:
def __init__(self, r, g, b, a=0):
self.r = r
self.g = g
self.b = b
... | {
"repo_name": "jshumaker/LoA",
"path": "utility/screen.py",
"copies": "1",
"size": "11776",
"license": "mit",
"hash": -8526014965426437000,
"line_mean": 35.803125,
"line_max": 119,
"alpha_frac": 0.5824558424,
"autogenerated": false,
"ratio": 3.5183746638780997,
"config_test": false,
"has_no_k... |
__author__ = 'Jody Shumaker'
import sys
import glob
import argparse
import os.path
from utility.mouse import *
from utility.screen import *
from utility.logconfig import *
from PIL import ImageGrab, Image
import logging
import functools
import math
import operator
import time
# Level card positions. Positions are at ... | {
"repo_name": "jshumaker/LoA",
"path": "tarot.py",
"copies": "1",
"size": "30804",
"license": "mit",
"hash": 8272526135568673000,
"line_mean": 44.9076005961,
"line_max": 132,
"alpha_frac": 0.5148357356,
"autogenerated": false,
"ratio": 3.61931617906239,
"config_test": false,
"has_no_keywords"... |
__author__ = 'joede'
import paramiko
import time
# Perform common tasks for the whole pi farm
# TODO clean up the cut and paste code and wrap the client creation into a single proc
pilist = ['10.30.33.8', '10.30.33.9', '10.30.33.4','10.30.33.13', '10.30.32.245', '10.30.32.251',
'10.30.32.249', '10.30.32.250'... | {
"repo_name": "joedeller/pymine",
"path": "PiSSH-utility.py",
"copies": "1",
"size": "3828",
"license": "mit",
"hash": 1958465918207605800,
"line_mean": 24.0196078431,
"line_max": 97,
"alpha_frac": 0.6361024033,
"autogenerated": false,
"ratio": 3.2141057934508814,
"config_test": false,
"has_n... |
__author__ = 'JoeJoe'
def b2i(byte_input):
return int.from_bytes(byte_input, byteorder='little')
def get_msg_length(byte_input):
rtn = 0
for i in range(len(byte_input)):
rtn |= (byte_input[i] & 0x7F) << (i * 7)
return rtn
def get_length_length(unzipped_data, pos):
rtn = 1
while unzi... | {
"repo_name": "gaetjen/Blendorf",
"path": "code/indie_scripts/helpers_ind.py",
"copies": "1",
"size": "2072",
"license": "mit",
"hash": 6918583555846460000,
"line_mean": 33.55,
"line_max": 91,
"alpha_frac": 0.6095559846,
"autogenerated": false,
"ratio": 2.5485854858548587,
"config_test": false,... |
__author__ = 'JoeJoe'
from enum import IntEnum
class TerrainType(IntEnum):
EMPTY = 0
FLOOR = 1
BOULDER = 2
PEBBLES = 3
WALL = 4
FORTIFICATION = 5
STAIR_UP = 6
STAIR_DOWN = 7
STAIR_UPDOWN = 8
RAMP = 9
RAMP_TOP = 10
BROOK_B... | {
"repo_name": "gaetjen/Blendorf",
"path": "code/Terrain.py",
"copies": "1",
"size": "2447",
"license": "mit",
"hash": 5432661204490039000,
"line_mean": 31.1973684211,
"line_max": 96,
"alpha_frac": 0.5472006539,
"autogenerated": false,
"ratio": 3.758832565284178,
"config_test": false,
"has_no_... |
__author__ = 'JoeJoe'
from Terrain import Terrain, TerrainType
import bpy
import bmesh
import math
from mathutils import Matrix
from Direction import Direction
import random
from helpers import BROOK_DEPTH, TILE_HEIGHT, TILE_WIDTH
from Ramp import Ramp, ConnectionType
# TODO: maybe take care of ceilings near ramps
#... | {
"repo_name": "gaetjen/Blendorf",
"path": "code/BmeshFactory.py",
"copies": "1",
"size": "19991",
"license": "mit",
"hash": 5317393892571021000,
"line_mean": 49.1027568922,
"line_max": 130,
"alpha_frac": 0.5920664299,
"autogenerated": false,
"ratio": 3.5207819654808032,
"config_test": false,
... |
__author__ = 'JoeJoe'
import proto.Block_pb2 as Block_pb2
import proto.Map_pb2 as Map_pb2
import proto.Material_pb2 as Material_pb2
import proto.Plant_pb2 as Plant_pb2
import proto.Tile_pb2 as Tile_pb2
from Tile import Tile
from Terrain import TerrainType
from Terrain import Terrain
import zlib
import bpy
import bmesh... | {
"repo_name": "gaetjen/Blendorf",
"path": "code/obsolete/script_main.py",
"copies": "1",
"size": "9089",
"license": "mit",
"hash": 5131304472590175000,
"line_mean": 33.0449438202,
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"autogenerated": false,
"ratio": 3.1746419839329376,
"config_test": fa... |
__author__ = 'JoeJoe'
import proto.Tile_pb2
from Terrain import Terrain, TerrainType
import bpy
import bmesh
import math
from mathutils import Matrix
from BmeshFactory import BmeshFactory
from Direction import Direction
class Tile:
"""A class that contains information on a specific Tile in the map
Attributes... | {
"repo_name": "gaetjen/Blendorf",
"path": "code/Tile.py",
"copies": "1",
"size": "3627",
"license": "mit",
"hash": 2185819444210814000,
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"line_max": 116,
"alpha_frac": 0.6010476978,
"autogenerated": false,
"ratio": 3.805876180482686,
"config_test": false,
"has_no_keywords":... |
__author__ = 'JoeJoe'
import zlib
import time
import proto.Block_pb2 as Block_pb2
import proto.Map_pb2 as Map_pb2
from Tile import Tile
from Terrain import TerrainType
import bpy
import bmesh
from mathutils import Vector
from helpers import b2i, get_msg_length, get_length_length
from helpers import BROOK_DEPTH, TILE_... | {
"repo_name": "gaetjen/Blendorf",
"path": "code/script_from_pydata.py",
"copies": "1",
"size": "6074",
"license": "mit",
"hash": 7698793159778217000,
"line_mean": 28.0669856459,
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"alpha_frac": 0.6279222917,
"autogenerated": false,
"ratio": 3.0354822588705646,
"config_test": fals... |
__author__ = 'JoeJoe'
#small script to automatically generate all the materials
import zlib
import time
import proto.Block_pb2 as Block_pb2
import proto.Map_pb2 as Map_pb2
from Tile import Tile
from Terrain import TerrainType
import bpy
import bmesh
from mathutils import Vector
from helpers import b2i, get_msg_length... | {
"repo_name": "gaetjen/Blendorf",
"path": "code/matgen_script.py",
"copies": "1",
"size": "1686",
"license": "mit",
"hash": 5984832169177586000,
"line_mean": 24.5454545455,
"line_max": 63,
"alpha_frac": 0.71886121,
"autogenerated": false,
"ratio": 2.8771331058020477,
"config_test": false,
"ha... |
__author__ = 'joe krall'
class Requirement(object):
def __init__(self, c, v):
#cost of the task
self.cost = c
#value of the task (priority)
self.value = v
#if the task is done or not
self.done = False
#if the task is visible (invisible tasks technically h... | {
"repo_name": "ase16-ta/performance",
"path": "pom3/pom3_requirements_tree.py",
"copies": "4",
"size": "3067",
"license": "mit",
"hash": -7948599589387369000,
"line_mean": 28.219047619,
"line_max": 164,
"alpha_frac": 0.5092924682,
"autogenerated": false,
"ratio": 3.7402439024390244,
"config_tes... |
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