text stringlengths 0 1.05M | meta dict |
|---|---|
import os, sys, commands, urllib2
from HTMLParser import HTMLParser, HTMLParseError
import smtplib
from email.mime.text import MIMEText
class ChParser(HTMLParser):
def __init__(self):
HTMLParser.__init__(self)
self.br = 0
self.sentense = ""
self.flag = False
self.sflag = Fa... | {
"repo_name": "CORDEA/niconico-visualization",
"path": "getdataFromWikipedia.py",
"copies": "1",
"size": "1155",
"license": "apache-2.0",
"hash": -2013799508114429400,
"line_mean": 23.0625,
"line_max": 63,
"alpha_frac": 0.5523809524,
"autogenerated": false,
"ratio": 3.564814814814815,
"config_t... |
import os
import sys
import logging as log
from stat import S_IXUSR, S_IWUSR, S_IRUSR
from subprocess import Popen, PIPE
from tempfile import NamedTemporaryFile
DEBUG = True if os.environ.get('DEBUG', '0') == '1' else False
TEMP = os.environ.get('TEMP', '/tmp')
KEYS_DIR = os.environ.get('KEYS_DIR',
os... | {
"repo_name": "chripo/ssh-keyring",
"path": "ssh-keyring.py",
"copies": "1",
"size": "5609",
"license": "bsd-2-clause",
"hash": -9034356642681711000,
"line_mean": 35.1870967742,
"line_max": 82,
"alpha_frac": 0.5951149938,
"autogenerated": false,
"ratio": 3.8156462585034014,
"config_test": false... |
#!/bin/env python
# encoding: utf-8
from flask import jsonify
from pymongo import MongoClient, GEO2D
import os
from flask import Flask, request
import re, time, json, pymongo
from collections import namedtuple
from joblib import Parallel, delayed
import multiprocessing
import datetime
from multiprocessing.pool import ... | {
"repo_name": "Nithanaroy/geospatial-tweets-heatmap",
"path": "tweet_service.py",
"copies": "1",
"size": "12893",
"license": "mit",
"hash": 4155622773944194600,
"line_mean": 39.6719242902,
"line_max": 174,
"alpha_frac": 0.5941208408,
"autogenerated": false,
"ratio": 3.4436431623931623,
"config_... |
#!/bin/env python
#encoding=utf8
import binascii
import hashlib
import ConfigParser
import gmpy2
from Crypto.Cipher import DES
DES_KEY = 'SCUBEPGW'
HASH_PAD = '0001ffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff... | {
"repo_name": "Codefor/netpayclient",
"path": "python/netpayclient.py",
"copies": "1",
"size": "5067",
"license": "mit",
"hash": 7845444690809575000,
"line_mean": 24.8520408163,
"line_max": 229,
"alpha_frac": 0.601342017,
"autogenerated": false,
"ratio": 3.1066830165542614,
"config_test": false... |
#!/bin/env python
# -*- encoding: utf-8
import codecs
import sys, tty, termios
class InputMethod:
def __init__(self):
self._wordMap = {}
def add(self, stroke, character):
lst = self._wordMap.setdefault(stroke, [])
lst.append(character)
def get(self, stroke):
return self.... | {
"repo_name": "hktonylee/ChangJieFun",
"path": "changjie.py",
"copies": "1",
"size": "7652",
"license": "mit",
"hash": -6267420431208076000,
"line_mean": 26.038869258,
"line_max": 83,
"alpha_frac": 0.5300575013,
"autogenerated": false,
"ratio": 3.687710843373494,
"config_test": false,
"has_no... |
#!/bin/env python
#encoding:utf-8
import db_act
def username_check(username):
_sql="select * from user where username=%s;"
_args=(username,)
_cnt,rt_list=db_act.db_act(_sql,_args)
return _cnt
def user_passwd_check(username,in_passwd):
_sql="select * from user where username=%s and password=md5(%s... | {
"repo_name": "51reboot/actual_09_homework",
"path": "09/zhouyang/09/cmdb/user/users.py",
"copies": "1",
"size": "1710",
"license": "mit",
"hash": 4524307078393708500,
"line_mean": 30.8958333333,
"line_max": 77,
"alpha_frac": 0.6274509804,
"autogenerated": false,
"ratio": 2.7079646017699117,
"c... |
#!/bin/env python
#-*- encoding: utf-8 -*-
import sys
import socket
import Queue
import json
import time
import threading
## private
sock=None
def thread_recver():
global sock
while True:
try:
data = sock.recv(8192)
if not data:
break
print '#### R... | {
"repo_name": "dungeonsnd/forwarding",
"path": "forwarding/test-client/src/test_forwarding_client.py",
"copies": "1",
"size": "1147",
"license": "bsd-3-clause",
"hash": -4851376013997231000,
"line_mean": 18.4406779661,
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"autogenerated": false,
"ratio": 3... |
#!/bin/env python
#-*- encoding: utf-8 -*-
import sys
import socket
import Queue
import json
import time
import threading
# public
serverIp ='127.0.0.1'
serverPort =8601
chid=None
recvQueue = Queue.Queue()
sendQueue = Queue.Queue()
## private
sock=None
sockExceptionEvent = threading.Event()
stopThread =False
def ... | {
"repo_name": "dungeonsnd/forwarding",
"path": "forwarding/test-client/src/test_forwarding_server.py",
"copies": "1",
"size": "3464",
"license": "bsd-3-clause",
"hash": 1385672868549977600,
"line_mean": 21.940397351,
"line_max": 68,
"alpha_frac": 0.519630485,
"autogenerated": false,
"ratio": 3.96... |
#!/bin/env python
# -*- encoding: utf-8 -*-
import sys, urllib, time, json, traceback
from optparse import OptionParser
NG_STATUS_URI = 'http://127.0.0.1:9091/monitor/basic_status'
class Histogram(object):
def __init__(self, values = None):
self.values = []
self.dirty = False
self.add(v... | {
"repo_name": "GuyCheung/falcon-ngx_metric",
"path": "nginx_collect.py",
"copies": "1",
"size": "14308",
"license": "apache-2.0",
"hash": -610411433819919000,
"line_mean": 28.5010309278,
"line_max": 220,
"alpha_frac": 0.5946323735,
"autogenerated": false,
"ratio": 3.6696588868940756,
"config_te... |
#!/bin/env python
# encoding: UTF-8
import urllib.request
import urllib.parse
from collections import namedtuple
from bs4 import BeautifulSoup
from TwitterAPI import TwitterAPI
from .config import * # noqa
import logging
from .logger import handler
logger = logging.getLogger(__name__)
logger.addHandler(handler)
S... | {
"repo_name": "shrkw/jkk-notifier",
"path": "jkk/checker.py",
"copies": "1",
"size": "1589",
"license": "mit",
"hash": -1822947933419381200,
"line_mean": 28.4905660377,
"line_max": 76,
"alpha_frac": 0.6142034549,
"autogenerated": false,
"ratio": 3.1897959183673468,
"config_test": false,
"has_... |
__Author__ = "Yoshihiro Tanaka"
__date__ = "2014-11-21"
import sys, urllib2
from HTMLParser import HTMLParser
class ChParser(HTMLParser):
def __init__(self):
HTMLParser.__init__(self)
self.br = 0
self.sentense = ""
self.flag = False
self.sflag = False
self.coun... | {
"repo_name": "CORDEA/niconico-visualization",
"path": "act1/getdataFromWikipedia.py",
"copies": "1",
"size": "1090",
"license": "apache-2.0",
"hash": -878592202432188200,
"line_mean": 22.6956521739,
"line_max": 63,
"alpha_frac": 0.528440367,
"autogenerated": false,
"ratio": 3.4713375796178343,
... |
#!/bin/env/python
# -*- encoding: utf-8 -*-
"""
===============================================================================
-------------------------------AUVSI SUAS 2018---------------------------------
===============================================================================
--------------------------------... | {
"repo_name": "hal112358/clark_aerospace",
"path": "auvsi/AUVSI.py",
"copies": "1",
"size": "66626",
"license": "mit",
"hash": 4230993450691244500,
"line_mean": 28.9577338129,
"line_max": 158,
"alpha_frac": 0.4945066491,
"autogenerated": false,
"ratio": 3.687513836617224,
"config_test": false,
... |
#!/bin/env/python
# -*- encoding:utf-8 -*-
"""
===============================================================================
ESRA GROUND STATION
===============================================================================
author=hal112358
----------------------------------------------------------------------------... | {
"repo_name": "hal112358/clark_aerospace",
"path": "esra/rocketPi1.py",
"copies": "1",
"size": "1402",
"license": "mit",
"hash": 1358788867703841500,
"line_mean": 22.3666666667,
"line_max": 79,
"alpha_frac": 0.5342368046,
"autogenerated": false,
"ratio": 3.5674300254452924,
"config_test": false... |
#!bin/env/python
# -*- encoding: utf-8 -*-
"""
===============================================================================
ESRA IREC SPACEPORT AMERICA CUP 2018
===============================================================================
author=hal112358
-----------------------------------------------------------... | {
"repo_name": "hal112358/clark_aerospace",
"path": "esra/ESRA.py",
"copies": "1",
"size": "21762",
"license": "mit",
"hash": -9036512253641395000,
"line_mean": 26.7931034483,
"line_max": 158,
"alpha_frac": 0.4759213308,
"autogenerated": false,
"ratio": 3.8819122368890473,
"config_test": false,
... |
#!/bin/env/python
# -*- encoding: utf-8 -*-
"""
===============================================================================
Experimental Camera Gyroscope
===============================================================================
author=hal112358
-----------------------------------------------------------------... | {
"repo_name": "hal112358/clark_aerospace",
"path": "camera_gyro/update.py",
"copies": "1",
"size": "4825",
"license": "mit",
"hash": -2199003146434171400,
"line_mean": 24.2670157068,
"line_max": 79,
"alpha_frac": 0.5311917098,
"autogenerated": false,
"ratio": 3.08898847631242,
"config_test": fa... |
#!/bin/env/python
# -*- encoding: utf-8 -*-
"""
===============================================================================
Flight Trajectory Visualization
===============================================================================
author=hal112358
---------------------------------------------------------------... | {
"repo_name": "hal112358/clark_aerospace",
"path": "flight_path/plot_path.py",
"copies": "1",
"size": "1575",
"license": "mit",
"hash": 6130323435572266000,
"line_mean": 26.1724137931,
"line_max": 79,
"alpha_frac": 0.5561904762,
"autogenerated": false,
"ratio": 3.0821917808219177,
"config_test"... |
__Author__ = "CORDEA"
__date__ = "2014-08-01"
from collections import Counter
chrList = ["chrX"]
for i in range(1,23):
chrList.append("chr" + str(i))
#outFile2 = open("specific_2.log", "w")
#outFile3 = open("specific_3.log", "w")
#for limit in range(0, 110, 10):
for limit in range(10, 20, 10):
outFile1 ... | {
"repo_name": "CORDEA/analysis_of_1000genomes-data",
"path": "programs/OLD/min_max.py",
"copies": "1",
"size": "2378",
"license": "apache-2.0",
"hash": -8851899529569970000,
"line_mean": 32.9714285714,
"line_max": 74,
"alpha_frac": 0.3839360807,
"autogenerated": false,
"ratio": 3.377840909090909,... |
__Author__ = "CORDEA"
__date__ = "2014-08-19"
import sys
#arg = sys.argv[1]
#chr = arg.split(":")
chrList = []
#for i in chr:
# chrList.append("chr" + str(i))
#for i in range(1,23):
# chrList.append("chr" + str(i))
chrList.append("chrX")
#infile = open("osp_set_200k.lst", "r")
#lines = infile.readlines()
#i... | {
"repo_name": "CORDEA/analysis_of_1000genomes-data",
"path": "programs/machine_learning/create_mongo_snp.py",
"copies": "1",
"size": "2068",
"license": "apache-2.0",
"hash": 1674452685128311300,
"line_mean": 26.9459459459,
"line_max": 103,
"alpha_frac": 0.4086073501,
"autogenerated": false,
"rati... |
__Author__ = "CORDEA"
__date__ = "2014-08-19"
import sys
#arg = sys.argv[1]
#chr = arg.split(":")
chrList = []
#for i in chr:
# chrList.append("chr" + str(i))
for i in range(1,23):
chrList.append("chr" + str(i))
infile = open("osp_set_200k.lst", "r")
lines = infile.readlines()
infile.close()
idList = []
... | {
"repo_name": "CORDEA/analysis_of_1000genomes-data",
"path": "programs/machine_learning/sample_snp.py",
"copies": "1",
"size": "1706",
"license": "apache-2.0",
"hash": -4431310742735395000,
"line_mean": 27.4333333333,
"line_max": 84,
"alpha_frac": 0.4320046893,
"autogenerated": false,
"ratio": 3.... |
__Author__ = "CORDEA"
__date__ = "2014-08-20"
import sys
arg = sys.argv[1]
infile = open("pred_for_osp.csv", "r")
lines = infile.readlines()
infile.close()
idDict = {}
for line in lines:
tmp = [r.rstrip("\r\n") for r in line.split(",")]
idDict[tmp[1]] = [tmp[2], tmp[3], tmp[0]]
infile = open(arg, "r")
... | {
"repo_name": "CORDEA/analysis_of_1000genomes-data",
"path": "programs/machine_learning/osp_svm.py",
"copies": "1",
"size": "1436",
"license": "apache-2.0",
"hash": 5610559768628588000,
"line_mean": 26.0943396226,
"line_max": 82,
"alpha_frac": 0.471448468,
"autogenerated": false,
"ratio": 2.69418... |
__Author__ = "CORDEA"
__date__ = "2014-08-21"
from collections import Counter
infile = open("pred_info.vcf", "r")
lines = infile.readlines()
infile.close()
# 0001a56c,chr1,5088617,2169089,44.2448979592,G,092a8efa7cd6427c91900bded95cab33,A,4:37:7:12,14:36:24:23,0:54:5:2,0:88:0:0,2:61:19:15,3:54:14:14,0:96:0:1,2:4... | {
"repo_name": "CORDEA/analysis_of_1000genomes-data",
"path": "programs/machine_learning/extract_pred.py",
"copies": "1",
"size": "1133",
"license": "apache-2.0",
"hash": 5975077623915082000,
"line_mean": 22.1224489796,
"line_max": 227,
"alpha_frac": 0.5736981465,
"autogenerated": false,
"ratio": ... |
__Author__ = "CORDEA"
__date__ = "2014-10-22"
import commands, sys
infile = open("sample_population.tsv", "r")
lines = infile.readlines()
infile.close()
sDict = {}
for line in lines:
tmp = line.split("\t")
sDict[tmp[0]] = tmp[1]
files = commands.getoutput('ls dbdata/').split("\n")
for filename in files... | {
"repo_name": "CORDEA/analysis_of_1000genomes-data",
"path": "programs/examine_phase3/create_dbdata.py",
"copies": "1",
"size": "2250",
"license": "apache-2.0",
"hash": 7432657882583382000,
"line_mean": 31.6086956522,
"line_max": 94,
"alpha_frac": 0.4142222222,
"autogenerated": false,
"ratio": 3.... |
__Author__ = "CORDEA"
__date__ = "2014-11-17"
import sys, re
with open(sys.argv[1]) as f:
lines = f.readlines()
sig = dbn = orid = "-"
dbnDict = {0:"Uncertain significance", 1:"not provided", 2:"Benign", 3:"Likely benign", 4:"Likely pathogenic", 5:"Pathogenic",6:"drug response", 7:"histocompatibility", 255:"o... | {
"repo_name": "CORDEA/analysis_of_1000genomes-data",
"path": "programs/linking_clinvar/vcf_edit.py",
"copies": "1",
"size": "1284",
"license": "apache-2.0",
"hash": 6265170309705527000,
"line_mean": 30.3170731707,
"line_max": 181,
"alpha_frac": 0.4953271028,
"autogenerated": false,
"ratio": 2.931... |
__Author__ = "CORDEA"
__date__ = "2014-11-25"
import sys
with open(sys.argv[1]) as f:
lines = f.readlines()
conDict = {
"YRI": "AFR",
"CHB": "ASN",
"TSI": "EUR",
"LWK": "AFR",
"CHS": "ASN",
"GBR": "EUR",
"IBS": "EUR",
"FIN": "EUR",
"ASW... | {
"repo_name": "CORDEA/analysis_of_1000genomes-data",
"path": "results/blindtest/check_result.py",
"copies": "1",
"size": "1268",
"license": "apache-2.0",
"hash": -7658780284788991000,
"line_mean": 20.4915254237,
"line_max": 63,
"alpha_frac": 0.3848580442,
"autogenerated": false,
"ratio": 2.703624... |
#!/bin/env/python
# -*- encoding: utf-8 -*-
"""
===============================================================================
===============================================================================
"""
from __future__ import print_function
from __future__ import division
import numpy as np
import argparse
im... | {
"repo_name": "hal112358/clark_aerospace",
"path": "camera_gyro/visualization.py",
"copies": "1",
"size": "7049",
"license": "mit",
"hash": 5789937265589666000,
"line_mean": 24.1785714286,
"line_max": 79,
"alpha_frac": 0.4304156618,
"autogenerated": false,
"ratio": 3.5439919557566615,
"config_t... |
import logging
log = logging.getLogger(__name__)
logging.basicConfig(level=logging.INFO)
import math
import os
from PIL import Image
from PIL import ImageChops
from PIL import ImageColor
from layouts import get_layout
from spritesheet import Sprite, Sheet
##########################################################... | {
"repo_name": "criptych/texpack",
"path": "texpack.py",
"copies": "1",
"size": "24641",
"license": "mit",
"hash": 5830908003827395000,
"line_mean": 34.7115942029,
"line_max": 114,
"alpha_frac": 0.4748183921,
"autogenerated": false,
"ratio": 4.137172599059772,
"config_test": false,
"has_no_key... |
#!/bin/env python
# encoding=utf-8
#用apt-get install python-tornado安装的不是最新，有bug。要用 pip install tornado
#
#此方案采用websocket实现
import os
from Gobang import Gobang, GameRoom
import random
import tornado
import json
from tornado import web, autoreload, websocket, ioloop
from datetime import timedelta
import logging
from t... | {
"repo_name": "heibanke/webchat",
"path": "app.py",
"copies": "1",
"size": "11936",
"license": "mit",
"hash": -5100579491392414000,
"line_mean": 35.7682539683,
"line_max": 145,
"alpha_frac": 0.6049905025,
"autogenerated": false,
"ratio": 3.4822609741431148,
"config_test": false,
"has_no_keywo... |
#!/bin/env python
# encoding:utf-8
#
u"""Sequence_Extractor 配列の特定領域を切り取って保存するプログラム
推奨パッケージ: xlwt(必須ではありません)
動作確認環境 :
Mac OS X v10.9.4 (Python 2.7.6)
Fedora 19 (Python 2.7.5)
*Python3系で動作するかはわかりません。*
コマンドラインオプションの詳細は*-h*または*--help*で確認して下さい。
注意事項:
各染色体配列のファイルは少なくとも*染色体番号.faで終わっている必要がありま... | {
"repo_name": "CORDEA/extract-sequences",
"path": "extract_seq.py",
"copies": "1",
"size": "13588",
"license": "apache-2.0",
"hash": 2587035274948496000,
"line_mean": 31.7465940054,
"line_max": 117,
"alpha_frac": 0.5044100516,
"autogenerated": false,
"ratio": 2.9955134596211366,
"config_test": ... |
#!/bin/env python
# enconding: utf-8
import fileinput
import re
import time
def get_bigger_neighbor(array, last_index=0):
if len(array) == 1:
value = max(array)
index = array.index(value)
return value, index
else:
# value = max(array)
index = last_index
end = i... | {
"repo_name": "jesuejunior/piramide-numeros",
"path": "main.py",
"copies": "1",
"size": "1320",
"license": "bsd-3-clause",
"hash": -5300613650455693000,
"line_mean": 21,
"line_max": 63,
"alpha_frac": 0.5454545455,
"autogenerated": false,
"ratio": 3.492063492063492,
"config_test": false,
"has_... |
#!/bin/env python
"""Exploratory code to convert bcbio generated CWL into the Nextflow DSL.
Uses cwltool parser to parse input CWL then converts objects into cwl2wdl
style dictionaries of workflows and processes (https://github.com/chapmanb/cwl2wdl)
before converting into Nextflow.
Current status:
- steps -> processe... | {
"repo_name": "brainstorm/bcbio-nextgen",
"path": "scripts/utils/cwltool2nextflow.py",
"copies": "3",
"size": "10671",
"license": "mit",
"hash": -7985336484849464000,
"line_mean": 37.247311828,
"line_max": 104,
"alpha_frac": 0.5729547371,
"autogenerated": false,
"ratio": 3.515980230642504,
"con... |
#!/bin/env python
"""Exploratory code to convert bcbio generated CWL into WDL.
Uses cwltool parser to parse input CWL then, calls out to cwl2wdl
for generation of WDL using this fork of cwl2wdl:
https://github.com/chapmanb/cwl2wdl
Current status:
- Connected workflow, sub-workflow and tool output
- Records -> Object... | {
"repo_name": "biocyberman/bcbio-nextgen",
"path": "scripts/cwltool2wdl.py",
"copies": "5",
"size": "14159",
"license": "mit",
"hash": 9141692450801886000,
"line_mean": 42.1676829268,
"line_max": 111,
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"autogenerated": false,
"ratio": 3.5548581471252825,
"config_test"... |
##!/bin/env python
'''farm.py - process data stream on cluster
===========================================
Purpose
-------
This script reads data from stdin and splits it into independent
chunks to be executed on a cluster.
Usage
-----
As a basic, but not very useful example, the following command will
take the in... | {
"repo_name": "CGATOxford/CGATPipelines",
"path": "scripts/farm.py",
"copies": "1",
"size": "36489",
"license": "mit",
"hash": -583620295161615500,
"line_mean": 30.3748925193,
"line_max": 91,
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"autogenerated": false,
"ratio": 4.137074829931973,
"config_test": false,
... |
import re
import string
import os, sys, re
_debug = False
def info(msg):
if _debug: print msg
import struct
def str_to_buff(str_buff, len):
tup = struct.unpack("%dB" % len, str_buff)
return tup
def printf(format, *args):
"""printf for old C folks, does not do auto newline"""
sys.stdout.... | {
"repo_name": "jjwright55/code_fragments",
"path": "frags/python/GdrDump.py",
"copies": "1",
"size": "2101",
"license": "unlicense",
"hash": -5151241352080048000,
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"line_max": 103,
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"autogenerated": false,
"ratio": 3.377813504823151,
"config_... |
"""Simple base text representation of phylo tree."""
__author__ = "Micah Hamady"
__copyright__ = "Copyright 2007-2012, The Cogent Project"
__credits__ = ["Micah Hamady"]
__license__ = "GPL"
__version__ = "1.5.3"
__maintainer__ = "Micah Hamady"
__email__ = "hamady@colorado.edu"
__status__ = "Prototype"
class TextNode(... | {
"repo_name": "sauloal/cnidaria",
"path": "scripts/venv/lib/python2.7/site-packages/cogent/format/text_tree.py",
"copies": "1",
"size": "3462",
"license": "mit",
"hash": 589594969740759200,
"line_mean": 29.3684210526,
"line_max": 95,
"alpha_frac": 0.5690352397,
"autogenerated": false,
"ratio": 3.... |
#!/bin/env python
#file written by Antony Fray, 13/11/15 in the HEP Software Workshop
#
# Plot dimuon mass distribution for SWC HEP 2015
# (Note: Comments from here on are for my benefit. Shouldnt need comments after here if variables are appropriately named)
#
from ROOT import TFile
from ROOT import TH1D
def tree_fr... | {
"repo_name": "antonyfray/dimuon",
"path": "dimuon.py",
"copies": "1",
"size": "1351",
"license": "mit",
"hash": -7069247999268488000,
"line_mean": 33.641025641,
"line_max": 122,
"alpha_frac": 0.6580310881,
"autogenerated": false,
"ratio": 3.3275862068965516,
"config_test": false,
"has_no_key... |
#!/bin/env python
from ansible.module_utils.basic import *
from xml.etree import ElementTree
from subprocess import PIPE, Popen
def main():
pcs_error_message = ""
module = AnsibleModule(argument_spec={})
process = Popen(['pcs', 'status', 'xml'], stdout=PIPE)
cib = (process.communicate()[0])
root =... | {
"repo_name": "aepifanov/mos_mu",
"path": "modules/check_pacemaker.py",
"copies": "1",
"size": "2646",
"license": "apache-2.0",
"hash": -2002859462328588500,
"line_mean": 43.8474576271,
"line_max": 146,
"alpha_frac": 0.6239606954,
"autogenerated": false,
"ratio": 3.3578680203045685,
"config_tes... |
#!/bin/env python
from ansible.module_utils.basic import *
def _haproxy_weight(host, weight, app_name):
return {
"host": host, "weight": str(weight) + "%", "backend": app_name + "_be",
"socket": "/var/lib/haproxy/" + app_name + ".stats"
}
def _haproxy_state(host, state, app_name):
return {
"host":... | {
"repo_name": "OpenConext/OpenConext-deploy",
"path": "library/haproxy_commands.py",
"copies": "1",
"size": "2208",
"license": "apache-2.0",
"hash": -3529118447378479000,
"line_mean": 35.1967213115,
"line_max": 82,
"alpha_frac": 0.6268115942,
"autogenerated": false,
"ratio": 3.066666666666667,
... |
#!/bin/env python
from datetime import datetime
import picamera
import io
import os
import logging
import time
MODE_SLEEP = 0
MODE_SEEK = 1
MODE_RECORD = 2
SLEEP_SECONDS = 10
OUTPUT_PATH = '/home/michael/Sync/HomeCam'
PIR_DETECT = '/tmp/pir'
PIR_ENABLED = '/tmp/pir_enable'
class CameraControl:
def __init__(se... | {
"repo_name": "mikeand/camcontrol",
"path": "camcontrol/camcontrol.py",
"copies": "1",
"size": "3605",
"license": "mit",
"hash": 4547440973148260400,
"line_mean": 30.6228070175,
"line_max": 77,
"alpha_frac": 0.5522884882,
"autogenerated": false,
"ratio": 3.9227421109902068,
"config_test": false... |
#!/bin/env python
from distutils.core import setup
from distutils.command.install_data import install_data
from distutils.command.install import INSTALL_SCHEMES
import os
import sys
class osx_install_data(install_data):
def finalize_options(self):
self.set_undefined_options('install', ('install_lib', 'ins... | {
"repo_name": "Excentrics/publication-backbone",
"path": "setup.py",
"copies": "1",
"size": "3351",
"license": "bsd-3-clause",
"hash": 7386639897426406000,
"line_mean": 30.0277777778,
"line_max": 87,
"alpha_frac": 0.6072814085,
"autogenerated": false,
"ratio": 3.314540059347181,
"config_test": ... |
#!/bin/env python
from __future__ import (absolute_import, division, print_function,
unicode_literals, with_statement)
import os
import logging
import shutil
from pyximport.pyxbuild import pyx_to_dll
from multiscanner.common import utils
WD = os.path.dirname(os.path.dirname(os.path.abspath(_... | {
"repo_name": "mitre/multiscanner",
"path": "multiscanner/utils/cython_compile_libs.py",
"copies": "2",
"size": "1325",
"license": "mpl-2.0",
"hash": -4606863286587791000,
"line_mean": 26.6041666667,
"line_max": 71,
"alpha_frac": 0.5713207547,
"autogenerated": false,
"ratio": 3.9909638554216866,
... |
#!/bin/env python
from __future__ import (absolute_import, division, print_function,
unicode_literals, with_statement)
import os
import shutil
import sys
from pyximport.pyxbuild import pyx_to_dll
WD = os.path.dirname(os.path.dirname((os.path.abspath(__file__))))
LIBS = os.path.join(WD, 'libs'... | {
"repo_name": "jmlong1027/multiscanner",
"path": "utils/cython_compile_libs.py",
"copies": "1",
"size": "1345",
"license": "mpl-2.0",
"hash": -4179125460467921000,
"line_mean": 25.9,
"line_max": 71,
"alpha_frac": 0.5687732342,
"autogenerated": false,
"ratio": 3.9558823529411766,
"config_test": ... |
#!/bin/env python
from __future__ import division, absolute_import, with_statement, print_function, unicode_literals
import os
import sys
import shutil
from pyximport.pyxbuild import pyx_to_dll
WD = os.path.dirname(os.path.dirname((os.path.abspath(__file__))))
LIBS = os.path.join(WD, 'libs')
# Adds the libs directory t... | {
"repo_name": "awest1339/multiscanner",
"path": "utils/cython_compile_libs.py",
"copies": "1",
"size": "1250",
"license": "mpl-2.0",
"hash": -5010426130795057000,
"line_mean": 27.4090909091,
"line_max": 98,
"alpha_frac": 0.5808,
"autogenerated": false,
"ratio": 3.869969040247678,
"config_test":... |
#!/bin/env python
from __future__ import division
import argparse
import logging
import numpy as np
import os
import re
import sys
from nii import write_nii_from_par
from write_parrec_from_dicom import write_parrec_from_dicom
from read_dicom import read_dicom
from read_par import read_par
def raw_convert(input_file,... | {
"repo_name": "MattVUIIS/raw2nii",
"path": "project/raw2nii.py",
"copies": "1",
"size": "5515",
"license": "mit",
"hash": 2877429275673650000,
"line_mean": 35.2828947368,
"line_max": 91,
"alpha_frac": 0.6038077969,
"autogenerated": false,
"ratio": 3.400123304562269,
"config_test": false,
"has... |
#!/bin/env python
from __future__ import print_function
from pyz.application import Application
from pyz.renderer import Renderer
from argparse import ArgumentParser
import math
# Prohibit from main import *
__all__ = []
class GameObject(object):
pass
class TimelineObject(object):
pass
class Ship(GameObj... | {
"repo_name": "siggame/PyVis",
"path": "main.py",
"copies": "1",
"size": "3277",
"license": "bsd-3-clause",
"hash": 617633184791576300,
"line_mean": 25.4274193548,
"line_max": 123,
"alpha_frac": 0.5532499237,
"autogenerated": false,
"ratio": 3.3168016194331984,
"config_test": false,
"has_no_k... |
#!/bin/env python
from __future__ import print_function
import fnmatch
import os
import sys
import subprocess
import hashlib
from virus_total_apis import PublicApi as VirusTotalPublicApi
def hash_results(p):
BLOCKSIZE = 65536
hashers = list()
hashers.append(('md5', hashlib.md5()))
hashers.append(('sha... | {
"repo_name": "CyberReboot/vent-plugins",
"path": "check_files/run.py",
"copies": "1",
"size": "2504",
"license": "apache-2.0",
"hash": 8226539140920180000,
"line_mean": 27.1348314607,
"line_max": 78,
"alpha_frac": 0.5838658147,
"autogenerated": false,
"ratio": 3.507002801120448,
"config_test":... |
#!/bin/env python
from __future__ import print_function
import os
import sys
import re
import argparse
import CppHeaderParser.CppHeaderParser as CppHeaderParser
# input files
header_files = []
cpp_files = []
# output directory
out_dir = ""
# transformation style
to_style = ""
# TODO
def unx2win(identifier):
"""U... | {
"repo_name": "zhenglinj/pycppstyle",
"path": "pycppstyle.py",
"copies": "1",
"size": "6663",
"license": "artistic-2.0",
"hash": -3939179582113272300,
"line_mean": 33.703125,
"line_max": 99,
"alpha_frac": 0.5658111962,
"autogenerated": false,
"ratio": 4.025981873111783,
"config_test": false,
... |
#! /bin/env python
from __future__ import print_function
import sys
import argparse
import os
import os.path
#import tabix
import pysam
from pysam import VCF
import csv
import cPickle as pickle
# python data tables!
#import pandas
from collections import defaultdict
import pymongo
#from bson import Binary, Code
#from b... | {
"repo_name": "pontikos/uclex_browser",
"path": "load_vcfs/vcf_to_json.py",
"copies": "1",
"size": "6805",
"license": "mit",
"hash": -3647896267683475000,
"line_mean": 41.7987421384,
"line_max": 149,
"alpha_frac": 0.5637031594,
"autogenerated": false,
"ratio": 3.3390578999018645,
"config_test":... |
#!/bin/env python
from __future__ import print_function
import sys
import json
from django.contrib.gis.gdal import DataSource
def validate(layer, field_map):
# does shp have any hitherto unknown field names?
additional = []
for sfield in layer.fields:
if sfield.lower() not in field_map.keys():
... | {
"repo_name": "Ecotrust/PEW-EFH",
"path": "scripts/validate_fields.py",
"copies": "2",
"size": "1234",
"license": "apache-2.0",
"hash": 8781300010919102000,
"line_mean": 30.641025641,
"line_max": 96,
"alpha_frac": 0.6280388979,
"autogenerated": false,
"ratio": 3.640117994100295,
"config_test": ... |
#!/bin/env python
from __future__ import print_function
import sys
import os
import ctypes
from . import nibbles
BIT_TIME = 3100
BIT_ZERO_LOW_TIME = 675
BIT_ONE_LOW_TIME = 1890
BIT_ONEVAL_THRESH_TIME = (BIT_ZERO_LOW_TIME + BIT_ONE_LOW_TIME) >> 1
BIT_LOW_TOO_LONG_TIME = (BIT_TIME + BIT_ONE_LOW_TIME) >> 1
NIBBLE_END_GAP... | {
"repo_name": "tulth/diy-acura-bluetooth",
"path": "target_desktop/py_lib/mbus/__init__.py",
"copies": "1",
"size": "9695",
"license": "mit",
"hash": -6648673297769005000,
"line_mean": 31.6430976431,
"line_max": 117,
"alpha_frac": 0.5775141826,
"autogenerated": false,
"ratio": 3.257728494623656,
... |
#!/bin/env python
from __future__ import print_function
import sys
import os
import datetime
from .. import toggles
MBUS_TIME_FORMATS = ("pyTimeElapsed", "microsHex", "microsInt", "blank")
TIMEZERO = datetime.datetime.strptime("0:0:00.0", "%H:%M:%S.%f", )
class MbusTime(object):
def __init__(self, val=0, mbusTi... | {
"repo_name": "tulth/diy-acura-bluetooth",
"path": "target_desktop/py_lib/mbus/mbusTime/__init__.py",
"copies": "1",
"size": "2840",
"license": "mit",
"hash": 7046174206127376000,
"line_mean": 31.2727272727,
"line_max": 85,
"alpha_frac": 0.6098591549,
"autogenerated": false,
"ratio": 3.5858585858... |
#! /bin/env python
from __future__ import print_function
import sys
import os
import tarfile
import argparse
from os.path import dirname, join, abspath
from shutil import copy
from subprocess import check_call
parser = argparse.ArgumentParser(
description='Build salt rpms',
)
parser.add_argument('build... | {
"repo_name": "stephane-martin/salt-debian-packaging",
"path": "salt-2016.3.2/pkg/rpm/build.py",
"copies": "2",
"size": "1374",
"license": "apache-2.0",
"hash": -3748274773519963000,
"line_mean": 26.48,
"line_max": 91,
"alpha_frac": 0.6441048035,
"autogenerated": false,
"ratio": 3.173210161662817... |
#!/bin/env python
from __future__ import print_function
import sys
import os
import time
from .. import mbusTime
class ToggleElement(object):
def __init__(self, mbusTimeFormat="microsHex"):
super().__init__()
self.time = mbusTime.MbusTime(val=0, mbusTimeFormat=mbusTimeFormat)
self.val = No... | {
"repo_name": "tulth/diy-acura-bluetooth",
"path": "target_desktop/py_lib/mbus/toggles/__init__.py",
"copies": "1",
"size": "4822",
"license": "mit",
"hash": 8128242443553780000,
"line_mean": 33.4428571429,
"line_max": 89,
"alpha_frac": 0.6163417669,
"autogenerated": false,
"ratio": 3.64199395770... |
#!/bin/env python
from __future__ import print_function
import sys
import re
import subprocess
def get_change_log(previous_sha):
args = ['git', '--no-pager', 'log', '--merges', '--grep', 'Merge pull request', '--pretty=format:"%h|%s|%b|%p"', 'master...{}'.format(previous_sha)]
log = subprocess.check_output(arg... | {
"repo_name": "44px/redash",
"path": "bin/get_changes.py",
"copies": "2",
"size": "1096",
"license": "bsd-2-clause",
"hash": 8404570288033423000,
"line_mean": 29.4722222222,
"line_max": 152,
"alpha_frac": 0.5620437956,
"autogenerated": false,
"ratio": 3.6533333333333333,
"config_test": false,
... |
#! /bin/env python
from __future__ import print_function
import sys
import requests
import py2neo
py2neo.authenticate("bigtop:57474", "neo4j", "1")
graph = py2neo.Graph('http://bigtop:57474/db/data/',secure=False,bolt=None, bolt_port=57687)
p=requests.get('https://raw.githubusercontent.com/obophenotype/human-phenotyp... | {
"repo_name": "phenopolis/pheno4j",
"path": "python/hpo_import.py",
"copies": "1",
"size": "2716",
"license": "mit",
"hash": -6202673506857172000,
"line_mean": 30.5813953488,
"line_max": 103,
"alpha_frac": 0.5813696613,
"autogenerated": false,
"ratio": 2.724172517552658,
"config_test": false,
... |
#!/bin/env python
from __future__ import print_function
import sys
sys.path.insert(0, '/mnt/xfs1/home/asalomatov/projects/variants/variants')
import ped
import variants
import func
import pandas
import os
import features
import yaml
from multiprocessing import Pool
print(sys.argv)
if len(sys.argv) != 3:
sys.exit('... | {
"repo_name": "asalomatov/variants",
"path": "variants/work/extractFeatures.py",
"copies": "1",
"size": "5457",
"license": "mit",
"hash": -5344669992560496000,
"line_mean": 40.6564885496,
"line_max": 106,
"alpha_frac": 0.6078431373,
"autogenerated": false,
"ratio": 2.926005361930295,
"config_te... |
#!/bin/env python
from __future__ import print_function
import os
import sys
import fnmatch
from vpp_papi import VPP
vpp_json_dir = '/usr/share/vpp/api/'
jsonfiles = []
for root, dirnames, filenames in os.walk(vpp_json_dir):
for filename in fnmatch.filter(filenames, '*.api.json'):
jsonfiles.append(os.pat... | {
"repo_name": "GabrielGanne/vpp-flowtable",
"path": "ft-test/flowtable-pm.py",
"copies": "1",
"size": "1495",
"license": "apache-2.0",
"hash": 5036331274353039000,
"line_mean": 30.1458333333,
"line_max": 137,
"alpha_frac": 0.6949832776,
"autogenerated": false,
"ratio": 2.542517006802721,
"confi... |
#!/bin/env python
from __future__ import print_function
import vpp_papi as vpp
from vpp_papi.portmirroring import *
import vpp_papi.portmirroring as pm
if_1_name = 'tap-0'
if_2_name = 'tap-1'
if_3_name = 'tap-2'
r = vpp.connect('papi')
if_1_sw_if_index = vpp.sw_interface_dump(1, if_1_name)[0].sw_if_index
if_2_sw_... | {
"repo_name": "GabrielGanne/vpp-flowtable",
"path": "ft-test/classifier-pm.py",
"copies": "1",
"size": "1435",
"license": "apache-2.0",
"hash": -7845352937675463000,
"line_mean": 30.1956521739,
"line_max": 115,
"alpha_frac": 0.6954703833,
"autogenerated": false,
"ratio": 2.303370786516854,
"con... |
#!/bin/env python
from __future__ import print_function
# Re-projects a 2D FITS image so that it is aligned pixel-for-pixel with
# another reference FITS image.
# Usage:
# wcsalign.py <infile> <reffile> <outfile>
#
# <infile> = Input fits file
# <reffile> = Reference fits file
# <outfile> = Output fits... | {
"repo_name": "astocko/agpy",
"path": "agpy/wcsalign_starlink.py",
"copies": "2",
"size": "15531",
"license": "mit",
"hash": 1300747770395131600,
"line_mean": 39.8710526316,
"line_max": 110,
"alpha_frac": 0.632927693,
"autogenerated": false,
"ratio": 3.5540045766590387,
"config_test": false,
... |
#!/bin/env python
from __future__ import print_function, with_statement
from jinja2 import Environment, FileSystemLoader
import re
import subprocess
env = Environment(loader=FileSystemLoader('.'))
rust_config = env.get_template('rustc.fish.template')
cargo_config = env.get_template('cargo.fish.template')
# Codegen
... | {
"repo_name": "bheesham/rust.fish",
"path": "gen.py",
"copies": "1",
"size": "2151",
"license": "mit",
"hash": -6537282852831630000,
"line_mean": 20.9489795918,
"line_max": 89,
"alpha_frac": 0.6192468619,
"autogenerated": false,
"ratio": 2.6921151439299122,
"config_test": false,
"has_no_keywo... |
#!/bin/env python
from __future__ import unicode_literals,print_function
import six
import subprocess
import sys
import re
import h5py
import copy
import numpy as np
import numpy.linalg as lg
from scipy.linalg import eigh
import warnings
def get_quantity(filepath,Nsamp):
if type(filepath)!=list:
filepath=[... | {
"repo_name": "EPFL-LQM/gpvmc",
"path": "tools/vmc_postproc/load.py",
"copies": "2",
"size": "3839",
"license": "mit",
"hash": 3158963164671731700,
"line_mean": 29.2283464567,
"line_max": 78,
"alpha_frac": 0.5907788487,
"autogenerated": false,
"ratio": 3.2616822429906542,
"config_test": false,
... |
#!/bin/env python
from __future__ import unicode_literals,print_function
import six
import subprocess
import sys
import re
import h5py
import time
import numpy as np
from vmc_postproc import load
def vmc_exec(**kwargs):
"""
arguments:
- nprocs (default 4)`
- hosts (default localhost)
- slurmqueue (... | {
"repo_name": "bdallapi/gpvmc",
"path": "tools/vmc_postproc/execute.py",
"copies": "2",
"size": "4372",
"license": "mit",
"hash": -4697396319904075000,
"line_mean": 34.8360655738,
"line_max": 158,
"alpha_frac": 0.6095608417,
"autogenerated": false,
"ratio": 3.483665338645418,
"config_test": fal... |
#!/bin/env python
from net_system.models import NetworkDevice
import django
from netmiko import ConnectHandler
from datetime import datetime
from multiprocessing import Process, current_process
import time
def show_ver(device):
creds = device.credentials
remote_conn = ConnectHandler(
device_type=devic... | {
"repo_name": "patrebert/pynet_cert",
"path": "class8/ex7/ex7.py",
"copies": "1",
"size": "1044",
"license": "apache-2.0",
"hash": 6485358363018866000,
"line_mean": 22.7272727273,
"line_max": 58,
"alpha_frac": 0.6388888889,
"autogenerated": false,
"ratio": 3.8955223880597014,
"config_test": fal... |
#!/bin/env python
from net_system.models import NetworkDevice
import django
from netmiko import ConnectHandler
from datetime import datetime
from multiprocessing import Process, current_process, Queue
import time
def show_ver(device, q):
output_dict = {}
creds = device.credentials
remote_conn = ConnectHan... | {
"repo_name": "patrebert/pynet_cert",
"path": "class8/ex8/ex8.py",
"copies": "1",
"size": "1312",
"license": "apache-2.0",
"hash": -5932675925633548000,
"line_mean": 24.2307692308,
"line_max": 60,
"alpha_frac": 0.6082317073,
"autogenerated": false,
"ratio": 3.6750700280112043,
"config_test": fa... |
#!/bin/env python
from net_system.models import NetworkDevice
import django
from netmiko import ConnectHandler
from datetime import datetime
import threading
import time
def show_ver(device):
creds = device.credentials
remote_conn = ConnectHandler(
device_type=device.device_type,
ip=device.ip... | {
"repo_name": "patrebert/pynet_cert",
"path": "class8/ex6/ex6.py",
"copies": "1",
"size": "1105",
"license": "apache-2.0",
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"autogenerated": false,
"ratio": 3.9891696750902526,
"config_test": fals... |
#!/bin/env python
from numpy import *
import sys
def corr(i,x,mean,var):
N=len(x)
if var==0:#if the variance is 0 return an effectively infinity corr
return 1e100
corr=1.0/var*1.0/(N-i)*sum((x[0:N-i]-mean)*(x[i:N]-mean))
return corr
def Stats(x):
N=len(x)
mean=sum(x)/(N+0.0)
xSqua... | {
"repo_name": "habanero-rice/hclib",
"path": "test/performance-regression/full-apps/qmcpack/utils/Forces.py",
"copies": "2",
"size": "2761",
"license": "bsd-3-clause",
"hash": -1167397202830704000,
"line_mean": 25.0471698113,
"line_max": 79,
"alpha_frac": 0.5161173488,
"autogenerated": false,
"ra... |
#!/bin/env python
from orvibo.s20 import S20, discover
import argparse
import logging
import binascii
#logging.basicConfig(level=logging.DEBUG)
class Pistorasia(object):
def __init__(self, sockets):
self.pistorasiat = []
for (name, ip, mac) in sockets:
self.pistorasiat.append((name, ... | {
"repo_name": "skarna1/python2-orvibo-s20",
"path": "tv.py",
"copies": "1",
"size": "2374",
"license": "mit",
"hash": -732205894200552100,
"line_mean": 29.0506329114,
"line_max": 86,
"alpha_frac": 0.5804549284,
"autogenerated": false,
"ratio": 3.338959212376934,
"config_test": false,
"has_no_... |
#!/bin/env python
from pygments import lexers, highlight, formatters
from pygments.util import ClassNotFound
from lxml import etree
from lxml.html import fragment_fromstring
def html_highlight(context, language, code, config):
"""
Highlight the given ``code`` in the given ``language``. ``context`` is
the ... | {
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"path": "share/dbk5proc.py",
"copies": "1",
"size": "2096",
"license": "apache-2.0",
"hash": -6204891352591700000,
"line_mean": 32.2698412698,
"line_max": 89,
"alpha_frac": 0.6316793893,
"autogenerated": false,
"ratio": 3.358974358974359,
"config_test"... |
#!/bin/env python
from pylab import *
from numpy import *
from matplotlib.patches import Ellipse, Wedge
rc('text', usetex=True)
deg2rad = pi/180.0
rad2deg = 180.0/pi
def Cos(x):
return cos(pi*x/180.0)
def Sin(x):
return sin(pi*x/180.0)
def findendpoint(m, b, Vlen, x1, y1):
A = m*m+1
B = -2*x1 - 2*y1*m +... | {
"repo_name": "kapteyn-astro/kapteyn",
"path": "doc/source/EXAMPLES/etermfig.py",
"copies": "1",
"size": "4130",
"license": "bsd-3-clause",
"hash": -1506834113833890000,
"line_mean": 23.4378698225,
"line_max": 79,
"alpha_frac": 0.6065375303,
"autogenerated": false,
"ratio": 1.9362400375058604,
... |
#!/bin/env python
from pymongo import MongoClient
import MySQLdb as mdb
import json
import pprint
import sys
names = []
client = MongoClient()
db = client.gdelt
collection = db.summary
"""
with open("country_codes.json") as f:
s = json.load(f)
with open("iso.txt", "w") as f:
for x in s:
names.append... | {
"repo_name": "samzhang111/diplomacy-viz",
"path": "scratch/get_counts.py",
"copies": "1",
"size": "2157",
"license": "bsd-3-clause",
"hash": -434555839374765500,
"line_mean": 29.3802816901,
"line_max": 176,
"alpha_frac": 0.5910987483,
"autogenerated": false,
"ratio": 3.5771144278606966,
"confi... |
#!/bin/env python
from pyVim.connect import SmartConnect, Disconnect
from pyVmomi import vim
import ssl
import sys
argvs = sys.argv
target_vm = argvs[1]
target_metric_group = argvs[2]
target_metric_key = argvs[3]
context = ssl._create_unverified_context()
si = SmartConnect(host="ホスト名/IPアドレス",
user="... | {
"repo_name": "tech-sketch/zabbix_book_sample",
"path": "2nd_edition/Chapter3/3-3_get_perfcounter_cpuusage.py",
"copies": "1",
"size": "1397",
"license": "apache-2.0",
"hash": 4216645847304156000,
"line_mean": 39.0882352941,
"line_max": 125,
"alpha_frac": 0.6661775495,
"autogenerated": false,
"ra... |
#!/bin/env python
from pyVim.connect import SmartConnect, Disconnect
from pyVmomi import vim
import ssl
context = ssl._create_unverified_context()
si = SmartConnect(host="ホスト名/IPアドレス",
user="ユーザ名",
pwd="パスワード",
port=443,
sslContext=context)
cont... | {
"repo_name": "tech-sketch/zabbix_book_sample",
"path": "2nd_edition/Chapter3/3-2_task_event_collector.py",
"copies": "1",
"size": "1145",
"license": "apache-2.0",
"hash": 8867843809094066000,
"line_mean": 31.6764705882,
"line_max": 88,
"alpha_frac": 0.6795679568,
"autogenerated": false,
"ratio":... |
#!/bin/env python
from pyVim.connect import SmartConnect, Disconnect
from pyVmomi import vim
import ssl
context = ssl._create_unverified_context()
zabbix_sender = 'zabbix_senderパス'
zabbix_server = 'Zabbixサーバホスト名またはIPアドレス'
esxi_host = sys.argv[1] #HyperVisor hostname
username = sys.argv[2] #HyperVisor login username
... | {
"repo_name": "tech-sketch/zabbix_book_sample",
"path": "2nd_edition/Chapter7/7-3_host_resource_utilization.py",
"copies": "1",
"size": "1678",
"license": "apache-2.0",
"hash": 8905468543504378000,
"line_mean": 39.1463414634,
"line_max": 157,
"alpha_frac": 0.6190765492,
"autogenerated": false,
"r... |
#!/bin/env python
from pyVim.connect import SmartConnect, Disconnect
from pyVmomi import vim
import ssl
context = ssl._create_unverified_context()
si = SmartConnect(host="ホスト名",
user="ユーザ名",
pwd="パスワード",
port=443, #vSphere API稼動ポート:https(443)がデフォルト
... | {
"repo_name": "tech-sketch/zabbix_book_sample",
"path": "2nd_edition/Chapter3/3-1_cpu_utilization.py",
"copies": "1",
"size": "1472",
"license": "apache-2.0",
"hash": 6199156875918423000,
"line_mean": 44.9032258065,
"line_max": 107,
"alpha_frac": 0.5685172171,
"autogenerated": false,
"ratio": 3.5... |
#!/bin/env python
from ROOT import TFile, TH1D
def tree_from_file(path):
global file_events
file_events = TFile(path)
tree_events = file_events.Get("events")
print type(tree_events)
return tree_events
def dimuon_masses(tree):
n_events = tree.GetEntries()
for i_event in xrange(n_events):
... | {
"repo_name": "fearghuskeeble/dimuon",
"path": "dimuon.py",
"copies": "1",
"size": "1109",
"license": "mit",
"hash": 8429319748135564000,
"line_mean": 30.6857142857,
"line_max": 87,
"alpha_frac": 0.6167718665,
"autogenerated": false,
"ratio": 3.177650429799427,
"config_test": false,
"has_no_k... |
#!/bin/env python
from schematics.models import Model, ModelMeta
from schematics.contrib.mongo import ObjectIdType
from tornado import gen
#-- Tornado
from tornado.concurrent import return_future
#-- DB
import motor
from bson.objectid import ObjectId
import functools
__all__ = ['AsyncModel', 'connect']
_db = None
... | {
"repo_name": "wsantos/motorm",
"path": "motorm/__init__.py",
"copies": "1",
"size": "6267",
"license": "apache-2.0",
"hash": -5634179317957422000,
"line_mean": 26.7300884956,
"line_max": 104,
"alpha_frac": 0.5203446625,
"autogenerated": false,
"ratio": 4.349063150589868,
"config_test": false,
... |
#!/bin/env python
from selenium import webdriver
from selenium.common.exceptions import StaleElementReferenceException
from time import sleep
from getpass import getpass
from random import randint
if __name__ == '__main__':
driver = webdriver.phantomjs.webdriver.WebDriver()
driver.get('https://facebook.com')
... | {
"repo_name": "matthewbentley/autopoke",
"path": "autopoke.py",
"copies": "1",
"size": "1177",
"license": "mit",
"hash": 2001998220008599600,
"line_mean": 31.6944444444,
"line_max": 69,
"alpha_frac": 0.585386576,
"autogenerated": false,
"ratio": 4.086805555555555,
"config_test": false,
"has_n... |
#!/bin/env python
from setuptools import setup, Extension
from codecs import open
from os import path, listdir
from Cython.Build import cythonize
from sys import exec_prefix
here = path.dirname(path.abspath(__file__))
with open(path.join(here, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
set... | {
"repo_name": "jzitelli/poolvr.py",
"path": "setup.py",
"copies": "1",
"size": "2060",
"license": "mit",
"hash": 9115923858354377000,
"line_mean": 39.3921568627,
"line_max": 134,
"alpha_frac": 0.5645631068,
"autogenerated": false,
"ratio": 3.8218923933209648,
"config_test": false,
"has_no_key... |
from setuptools import setup
setup(
name='pypugly',
use_scm_version=True,
author='Alexandre Andrade',
author_email='kaniabi@gmail.com',
url='https://github.com/zerotk/pypugly',
description='Another HTML generator based on JADE.',
long_description='''Another HTML generator based on JADE.... | {
"repo_name": "zerotk/pypugly",
"path": "setup.py",
"copies": "1",
"size": "1447",
"license": "mit",
"hash": 2549268487778599400,
"line_mean": 29.1458333333,
"line_max": 77,
"alpha_frac": 0.6192121631,
"autogenerated": false,
"ratio": 4.134285714285714,
"config_test": false,
"has_no_keywords"... |
#!/bin/env python
from sys import exit
import argparse
import rsa
rsaBits = 1024
pubName = 'pub_rsa.pem'
priName = 'pri_rsa.pem'
def genKey():
# generate key couple
(pubKey, priKey) = rsa.newkeys(rsaBits)
# write public key
pub = pubKey.save_pkcs1()
pubFile = open(pubName, 'w+')
pubFile.write(... | {
"repo_name": "zhaozq/rsaencrypt_self_data",
"path": "rsacry.py",
"copies": "1",
"size": "2154",
"license": "mit",
"hash": -755219811222143600,
"line_mean": 26.974025974,
"line_max": 73,
"alpha_frac": 0.5928505107,
"autogenerated": false,
"ratio": 3.258698940998487,
"config_test": false,
"has... |
#!/bin/env python
from tempfile import mkdtemp
import os
import re
import sys
import subprocess
import shutil
from glob import glob
class IgnorableError(Exception):
def __init__(self, value):
self.value = value
def __str__(self):
return repr(self.value)
known_ok = re.compile('|'.join([
r'''LaTeX Warning... | {
"repo_name": "calcu16/misc",
"path": "bin/pylatex.py",
"copies": "3",
"size": "2688",
"license": "bsd-2-clause",
"hash": 597320318034711000,
"line_mean": 29.202247191,
"line_max": 157,
"alpha_frac": 0.6201636905,
"autogenerated": false,
"ratio": 3.4461538461538463,
"config_test": false,
"has... |
#!/bin/env python
from urlparse import urlparse
from optparse import OptionParser, OptionGroup
import bees
usage = """\
bees COMMAND [options]
type 'bees --help' for an overview over all options
Bees with Machine Guns
A utility for arming (creating) many bees (small EC2 instances) to attack
(load test) targets (w... | {
"repo_name": "obestwalter/AWSomECCommander",
"path": "beeswithmachineguns/main.py",
"copies": "1",
"size": "10728",
"license": "mit",
"hash": 475154666128829950,
"line_mean": 46.2599118943,
"line_max": 79,
"alpha_frac": 0.4908650261,
"autogenerated": false,
"ratio": 4.7011393514461,
"config_te... |
#! /bin/env python
from .vtktypes import VtkRectilinear
from .vtkxml import (
VtkAppendedDataElement,
VtkCellDataElement,
VtkCoordinatesElement,
VtkExtent,
VtkGridElement,
VtkPieceElement,
VtkPointDataElement,
VtkRootElement,
)
def get_elements(field, data_format="ascii", encoding="asc... | {
"repo_name": "csdms/pymt",
"path": "deprecated/printers/vtk/vtr.py",
"copies": "2",
"size": "1146",
"license": "mit",
"hash": 7808166505468912000,
"line_mean": 26.9512195122,
"line_max": 71,
"alpha_frac": 0.6448516579,
"autogenerated": false,
"ratio": 3.684887459807074,
"config_test": false,
... |
#! /bin/env python
from .vtktypes import VtkStructured
from .vtkxml import (
VtkAppendedDataElement,
VtkCellDataElement,
VtkExtent,
VtkGridElement,
VtkPieceElement,
VtkPointDataElement,
VtkPointsElement,
VtkRootElement,
)
def get_elements(field, data_format="ascii", encoding="ascii"):
... | {
"repo_name": "csdms/pymt",
"path": "deprecated/printers/vtk/vts.py",
"copies": "2",
"size": "1094",
"license": "mit",
"hash": -1235305083443942700,
"line_mean": 27.0512820513,
"line_max": 84,
"alpha_frac": 0.6489945155,
"autogenerated": false,
"ratio": 3.6711409395973154,
"config_test": false,... |
#! /bin/env python
from .vtktypes import VtkUniformRectilinear
from .vtkxml import (
VtkAppendedDataElement,
VtkCellDataElement,
VtkExtent,
VtkGridElement,
VtkOrigin,
VtkPieceElement,
VtkPointDataElement,
VtkRootElement,
VtkSpacing,
)
def get_elements(field, data_format="ascii", en... | {
"repo_name": "csdms/coupling",
"path": "deprecated/printers/vtk/vti.py",
"copies": "2",
"size": "1224",
"license": "mit",
"hash": 5133543336598962000,
"line_mean": 27.4651162791,
"line_max": 85,
"alpha_frac": 0.6397058824,
"autogenerated": false,
"ratio": 3.6,
"config_test": false,
"has_no_k... |
#!/bin/env python
from wrpg.wfont.pack import pack_font
import xml.etree.ElementTree as ET
import sys
# Littera exports in UTF-8. We want Extended ASCII.
# There is a need to convert the values
# {in: out}
littera_char_translations = {
338: 140,
339: 155,
}
def parse_littera_xml_font(tree):
root = tree.g... | {
"repo_name": "WalrusRPG/WFont",
"path": "bundle.py",
"copies": "1",
"size": "1850",
"license": "mit",
"hash": 4633673623587830000,
"line_mean": 29.3278688525,
"line_max": 77,
"alpha_frac": 0.5389189189,
"autogenerated": false,
"ratio": 3.4774436090225564,
"config_test": false,
"has_no_keywor... |
#!/bin/env python
from xml.dom.minidom import *
import sys
from check_qmcsystem import *
class simulation:
system = qmcsystem()
def check_project (proj, sim):
print 'checking project section'
return
def check_random (rand, sim):
print 'checking random section'
return
#def check_qmcsystem(sy... | {
"repo_name": "habanero-rice/hcpp",
"path": "test/performance-regression/full-apps/qmcpack/utils/check_input.py",
"copies": "2",
"size": "1924",
"license": "bsd-3-clause",
"hash": 7792351940133386000,
"line_mean": 24.3157894737,
"line_max": 74,
"alpha_frac": 0.5540540541,
"autogenerated": false,
... |
#!/bin/env python
from xml.dom.minidom import *
import sys
from pylab import *
from numpy import *
class channel:
def __init__(self):
self.channel_dict = { 's':0, 'p':1, 'd':2, 'f':3, 'g':4, 'h':5 }
def parse_grid(self, elem):
self.ri = float(elem.attributes['ri'].value)
self.rf = f... | {
"repo_name": "habanero-rice/hclib",
"path": "test/performance-regression/full-apps/qmcpack/utils/plot_fsatom.py",
"copies": "2",
"size": "3986",
"license": "bsd-3-clause",
"hash": 2065527336154976000,
"line_mean": 31.406504065,
"line_max": 78,
"alpha_frac": 0.489713999,
"autogenerated": false,
"... |
#! /bin/env python
# harvest images for the given collection
# by this point the isShownBy value for the doc should be filled in.
# this should point at the highest fidelity object file available
# from the source.
# use brian's content md5s3stash to store the resulting image.
# should just be a call to md5s3stash
imp... | {
"repo_name": "mredar/harvester",
"path": "scripts/harvest_all_images.py",
"copies": "3",
"size": "3180",
"license": "bsd-3-clause",
"hash": 4059874457349434000,
"line_mean": 38.2592592593,
"line_max": 172,
"alpha_frac": 0.6245283019,
"autogenerated": false,
"ratio": 3.2783505154639174,
"config... |
#!/bin/env python
'''https://docs.python.org/3/library/concurrent.futures.html'''
import tornado.httpserver
import tornado.ioloop
import tornado.options
import tornado.web
import tornado.httpclient
import tornado.gen
from tornado.concurrent import run_on_executor
from concurrent.futures import ThreadPoolExecutor
impor... | {
"repo_name": "dongweiming/speakerdeck",
"path": "tornado/5_concurrent_sleep.py",
"copies": "2",
"size": "1219",
"license": "apache-2.0",
"hash": -6386820416177219000,
"line_mean": 28.0238095238,
"line_max": 70,
"alpha_frac": 0.7022149303,
"autogenerated": false,
"ratio": 3.7392638036809815,
"c... |
#!/bin/env python
# I chose to implement the Comet driver in Python rather than Ruby because...the Ruby ICE bindings don't support callbacks. Blurg.
# Mostly adapted from http://mumble.git.sourceforge.net/git/gitweb.cgi?p=mumble/mumble;a=blob_plain;f=scripts/testcallback.py;hb=HEAD
#
# Implements a simple callback resp... | {
"repo_name": "cheald/murmur-manager",
"path": "widget/server/comet-server.py",
"copies": "1",
"size": "3306",
"license": "mit",
"hash": -7668684511728741000,
"line_mean": 31.4117647059,
"line_max": 133,
"alpha_frac": 0.7075015124,
"autogenerated": false,
"ratio": 3.0413983440662373,
"config_te... |
#!/bin/env python
#Id,Tz,From,To,Sched,Hours,Rating,Comment,Framerate,Snore,Noise,Cycles,Event
import time
pattern = '%d.%m.%Y %H:%M'
header="matt.sleep"
f = open('sleep-export.csv', 'r')
while True:
keys = f.readline()
values = f.readline()
values2 = f.readline()
#Read untils you can't reads no mor... | {
"repo_name": "sawasy/graphite-sleep",
"path": "electric-sheep.py",
"copies": "1",
"size": "1332",
"license": "bsd-2-clause",
"hash": 8762641111992105000,
"line_mean": 30.7142857143,
"line_max": 134,
"alpha_frac": 0.5705705706,
"autogenerated": false,
"ratio": 3.3551637279596975,
"config_test":... |
# #!/bin/env python
# import argparse
# import asyncio
# import json
# import os
# import signal
#
# from aiokafka import AIOKafkaProducer
#
# from .protocol import SecBeaconProtocol
# from .beacon import set_master_key
#
# # Config
# topic = 'beacons'
#
# parser = argparse.ArgumentParser(
# description='Start a Ka... | {
"repo_name": "C3Wireless/c3-reference",
"path": "src/c3reference/kafka.py",
"copies": "1",
"size": "2155",
"license": "mit",
"hash": -2875780176933873000,
"line_mean": 31.6515151515,
"line_max": 80,
"alpha_frac": 0.6329466357,
"autogenerated": false,
"ratio": 3.2701062215478,
"config_test": fa... |
#!/bin/env python
import argparse
import os
import re
import subprocess
import sys
class Version:
def __init__(self, major, minor, patch=0, pre_release_id=None, commit_hash=None, commits_since=0, is_dirty=False):
self.major = major
self.minor = minor
self.patch = patch
self.pre_rel... | {
"repo_name": "nioncode/GitVersioner",
"path": "GitVersioner.py",
"copies": "1",
"size": "6369",
"license": "mit",
"hash": 216051008737338000,
"line_mean": 38.5590062112,
"line_max": 120,
"alpha_frac": 0.593342754,
"autogenerated": false,
"ratio": 3.8835365853658534,
"config_test": false,
"ha... |
import argparse
import random
import requests
import traceback
__author__ = 'ivan.v.polyakov'
if __name__ != "__main__":
exit(10)
parser = argparse.ArgumentParser()
parser.add_argument("-n", "--node" , metavar="HOST", dest="nodes", action="append", default=[], required=True,
help="Node of ElasticSearch")... | {
"repo_name": "arshvin/scripts",
"path": "elastic_search/check-haproxy-logs.py",
"copies": "1",
"size": "6138",
"license": "apache-2.0",
"hash": 7959216946173634000,
"line_mean": 37.8544303797,
"line_max": 140,
"alpha_frac": 0.5343760182,
"autogenerated": false,
"ratio": 3.5603248259860787,
"co... |
#!/bin/env python
import argparse
import sys
from common import databases as dbs
def create_auth_db(args, parser):
import models.auth
db = dbs.auth_db()
dbs.create_schema(db, dbs.AuthBase)
def create_cust_db(org_id):
import models.cust
db = dbs.cust_db(org_id)
dbs.create_schema(db, dbs.CustBas... | {
"repo_name": "ggerrietts/leadpipe",
"path": "util/create_db.py",
"copies": "1",
"size": "1310",
"license": "apache-2.0",
"hash": -9076590594533833000,
"line_mean": 31.75,
"line_max": 146,
"alpha_frac": 0.6923664122,
"autogenerated": false,
"ratio": 3.521505376344086,
"config_test": false,
"h... |
#!/bin/env python
import argparse
#Frobnicate a string
def frobnicate(s):
y = ''
for x in s:
y += chr(ord(x) ^ 42)
return y
#Rotate by 0x80000 (UTF-16 rot)
def rot524288(s):
y = ''
for x in s:
y += chr(ord(x) ^ 0x80000)
return y
#Rotate by 0x8000 (UTF-8 rot)
def rot32768(s):
... | {
"repo_name": "carlospatinos/security",
"path": "l2/multiRot.py",
"copies": "1",
"size": "2040",
"license": "mit",
"hash": -7518451229642741000,
"line_mean": 26.2133333333,
"line_max": 121,
"alpha_frac": 0.5598039216,
"autogenerated": false,
"ratio": 3.044776119402985,
"config_test": false,
"... |
#!/bin/env python
import asyncio
from message import WeechatMessage
import notify2
import argparse
class WeechatRelayListener(asyncio.Protocol):
def __init__(self, password, loop):
self.password = password
self.loop = loop
self.buffer = b''
self.notification = None
notify2.... | {
"repo_name": "Fingel/weelisten",
"path": "client.py",
"copies": "1",
"size": "2576",
"license": "mit",
"hash": 1149856345876251600,
"line_mean": 36.8823529412,
"line_max": 97,
"alpha_frac": 0.6288819876,
"autogenerated": false,
"ratio": 3.9753086419753085,
"config_test": false,
"has_no_keywo... |
#!/bin/env python
import base64
import numpy as np
class EncoderError(Exception):
pass
class UnknownEncoder(EncoderError):
def __init__(self, name):
self._name = name
def __str__(self):
return "%s: Unknown encoder" % self._name
class Encoder(object):
def encode(self, array):
... | {
"repo_name": "csdms/pymt",
"path": "deprecated/printers/vtk/encoders.py",
"copies": "2",
"size": "1497",
"license": "mit",
"hash": 3934073824196327400,
"line_mean": 22.390625,
"line_max": 87,
"alpha_frac": 0.6098864395,
"autogenerated": false,
"ratio": 3.7238805970149254,
"config_test": false,... |
#!/bin/env python
import bpy
def visible_only(bpy_data):
"""
Filter out all the invisible objects
"""
def visible(obj):
return any(obj.is_visible(s) for s in bpy_data['scenes'])
bpy_data['objects'] = [obj for obj in bpy_data['objects'] if visible(obj)]
return bpy_data
def selected_... | {
"repo_name": "Kupoman/blendergltf",
"path": "blendergltf/filters.py",
"copies": "1",
"size": "2239",
"license": "apache-2.0",
"hash": 6827269486917285000,
"line_mean": 25.6547619048,
"line_max": 100,
"alpha_frac": 0.5855292541,
"autogenerated": false,
"ratio": 3.9982142857142855,
"config_test"... |
#!/bin/env python
import CalcStatistics
import numpy
import pylab
import random
from PIMC import *
from PIMCHelp import *
Path = None
myPIMC = None
tau=0.5
lam=0.5
numTimeSlices=5
numParticles=2
n = numpy.array(arange(0.0, 100.0, 1.0))
E = 0.5 + n
beta = tau * numTimeSlices
expBetaE = numpy.exp(-beta*E)
print 6.0*su... | {
"repo_name": "b3sigma/fourd",
"path": "pyvis/PIMCPy/EmbeddedBinding.py",
"copies": "1",
"size": "1039",
"license": "mit",
"hash": -29643027070669250,
"line_mean": 22.6136363636,
"line_max": 73,
"alpha_frac": 0.7564966314,
"autogenerated": false,
"ratio": 2.910364145658263,
"config_test": false... |
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