text stringlengths 0 1.05M | meta dict |
|---|---|
"""Log Parser for RTI Connext applications.
The script parse a log generated from DDS application when the
highest log verbosity is enabled. Then it will generate an output in
human-readable format.
Functions:
+ main: Main application entry.
+ print_header: Print the header information.
+ parse_log: Parse a log... | {
"repo_name": "iblancasa/rticonnextdds-logparser",
"path": "src/rtilogparser.py",
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#!/bin/python
# lw.py
# Create a Lone Wolf character.
# System errors:
# 1 - Erronous arguments given.
# 2 - Command line syntax error.
# 3 - Specified file already exists.
import os
import sys
import argparse
import wolfy_util
import wolfy_config
argparser = argparse.ArgumentParser(prog='lw', description=
... | {
"repo_name": "CaterHatterPillar/wolfy",
"path": "lw.py",
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#!/bin/python
# madbot functions, in pseudo pseudocode form (for now)
import numpy as np
def classify_insulting(tweets):
"""
Outputs whether a list of tweets is insulting.
Using amueller's model.
Test:
>>> is_insulting('fuck you')
1
>>> is_insulting('hello')
0
"""
cv = np.load(... | {
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#!/bin/python
#Main for running the kaggle training and test data
#Write in a list of files that you want to use for training and testing
#TODO: Use cmdline arguments for specifying training and test data
#Files will be in .mat format
import numpy as np
import scipy.io as sio
import re
import os
from random import ran... | {
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"path": "run.py",
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"size": "4597",
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#!/bin/python
# Main functions/classes for bri-focal v2.
import numpy as np
# DO NOT PLAY NICE WITH NANS
np.seterr(all='raise')
np.seterr(under='warn')
from copy import deepcopy
import sys
import gzip
import time
import re
from copy import deepcopy
#import pathos.multiprocessing as mp
# yolo
#from thresholds_fn import... | {
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"path": "src/bf2f.py",
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#!/bin/python
# Mars Team Client Example written in Python
# Requires the following library to install: sudo pip install websocket-client
# if you encounter errors with a Six import:
# you can try: pip remove six; pip install six
# Windows users: you may need to install the Microsoft Visual C++ Compiler for Python 2.7
... | {
"repo_name": "VxRackNeutrino/Hero",
"path": "clients/python/Hero-Client.py",
"copies": "2",
"size": "6183",
"license": "apache-2.0",
"hash": -6068965530055184000,
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"autogenerated": false,
"ratio": 3.495195025438101,
"confi... |
#!/bin/python
ACCEPTABLE = 864000
msgid = 'intersphinx'
import sys
import os
import time
import subprocess
def interface():
try:
f = sys.argv[1]
except IndexError:
exit('[%s]: the first argument to must be an existing file.' % (msgid, sys.argv[0]))
try:
s = sys.argv[2]
ex... | {
"repo_name": "tychoish/dtf",
"path": "docs/bin/intersphinx-download.py",
"copies": "1",
"size": "1786",
"license": "apache-2.0",
"hash": 4023348725868965400,
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"line_max": 92,
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"autogenerated": false,
"ratio": 3.5088408644400784,
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'''
Adopted from https://github.com/brentp/bio-playground/blob/master/reads-utils/guess-encoding.py
MIT License
Copyright (c) 2009-2011 Brent Pedersen, Haibao Tang
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": "clark-lab/ngsane",
"path": "tools/GuessFastqEncoding.py",
"copies": "3",
"size": "4333",
"license": "bsd-3-clause",
"hash": -2009282659297650000,
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"autogenerated": false,
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#!/bin/python
# A filter that converts the configuration file 'config.json' to a
# 'make' format file 'config.mk' for inclusion by the main Makefile.
# Input (stdin): config.json
# Output (stdout): config.mk
# Side effect:
# - update config.json, if a field update was specified
import sys, os, json, argparse, r... | {
"repo_name": "OpenTreeOfLife/reference-taxonomy",
"path": "util/update_config.py",
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"ratio": 3.4796342477140483,
... |
#!/bin/python
"""
A module to handle 3D data with axes.
colorview2d.Data consists of a 2d array and x and y axes.
The class provides methods to rotate, flipp, copy and save
the datafile.
Example
-------
::
file = Data(np.random.random(100, 100))
file.rotate_cw()
file.report()
file.save('newdata.dat'... | {
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"autogenerated": false,
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"config_test":... |
# assign_to_cluster_fpfh.py
# voxels-at-lems
#
# Created by Maria Isabel Restrepo on 11/14/11.
# Copyright (c) 2011 Brown University. All rights reserved.
import dbrec3d_batch;
import os;
import optparse;
dbrec3d_batch.register_processes();
dbrec3d_batch.register_datatypes();
class dbvalue:
def __init__(self... | {
"repo_name": "mirestrepo/voxels-at-lems",
"path": "dbrec3d/pcl/assign_to_cluster_fpfh.py",
"copies": "1",
"size": "1242",
"license": "bsd-2-clause",
"hash": 1825592385718179000,
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"alpha_frac": 0.729468599,
"autogenerated": false,
"ratio": 2.49397590361... |
#!/bin/python
"""
A tool to insert institutions from CSV files.
Requirements:
- requests
- gusregon
- unicodecsv
- tqdm
Example usage:
To run help text use:
$ python insert_institution_generic.py -h
"""
import argparse
import sys
import requests
import csv
from gusregon import GUS
from utils import environ
fr... | {
"repo_name": "watchdogpolska/feder",
"path": "api_examples/insert_institution_csv.py",
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"size": "15737",
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"c... |
__author__= 'bt3gl'
import string
import sys
import operator
FREQ_ENGLISH = [0.0749, 0.0129, 0.0354, 0.0362, 0.1400, 0.0218, 0.0174, 0.0422, 0.0665, 0.0027, 0.0047, 0.0357,0.0339, 0.0674, 0.0737, 0.0243, 0.0026, 0.0614, 0.0695, 0.0985, 0.0300, 0.0116, 0.0169, 0.0028, 0.0164, 0.0004]
def find_frequency(msg):
d... | {
"repo_name": "ksmaheshkumar/My-Gray-Hacker-Resources",
"path": "CTFs_and_WarGames/WARGAMES/krypton/freq_count_vig.py",
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"size": "1545",
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"... |
'''
author: Jelle Hellemans
copyright: Copyright (C) 2014 Jelle Hellemans
HotterDeployer is a Liferay utility meant to ease development.
It will monitor the resources (jsp,css,js) in your workspace for deployed
portlets and hot-copy them on changes, without the need for a deployment.
It also offers an alternative to... | {
"repo_name": "sueastside/liferay-hotterdeploy",
"path": "hotterdeploy/app.py",
"copies": "1",
"size": "9161",
"license": "bsd-3-clause",
"hash": -7649247914985912000,
"line_mean": 33.965648855,
"line_max": 136,
"alpha_frac": 0.6395590001,
"autogenerated": false,
"ratio": 3.817083333333333,
"co... |
__author__ = "Marius Lindauer"
__copyright__ = "Copyright 2016, ML4AAD"
__license__ = "3-clause BSD"
__maintainer__ = "Marius Lindauer"
__email__ = "lindauer@cs.uni-freiburg.de"
__version__ = "0.0.2"
import os
import sys
import inspect
import logging
import time
import math
from argparse import ArgumentParser, Argum... | {
"repo_name": "SgnJp/SMAC3",
"path": "smac/parameter_importance/forward_selection.py",
"copies": "1",
"size": "6605",
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"hash": 7107342693338207000,
"line_mean": 32.025,
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"ratio": 4.064615384615385,
"con... |
# Authors: Cedric Halbronn <cedric.halbronn@sogeti.com>
# TAGS: Android, Device, HTC One, fastboot, read_emmc
#
# Reads flash using the read_emmc command
# Convert the fastboot format into raw data
#
import serial, sys, time, binascii
def debug(s, debug=False):
if debug:
print s
#command format: read_mmc [emmc/s... | {
"repo_name": "sogeti-esec-lab/android-fde",
"path": "pydroidfde/dump.py",
"copies": "1",
"size": "1287",
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"hash": 1721002053855705900,
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#!/bin/python
#
# Bing Image extractor
#
import urllib,urllib2,json
import os,sys
keyBing = 'wJYkWxwJfKoCUfh5L7xGeC6Q8YqIKHwKvKsvQ5Sfn/k='
# get Bing key from:https://datamarket.azure.com/account/keys
credentialBing = 'Basic ' + (':%s' % keyBing).encode('base64')[:]
#searchString = '%27Xbox+One%27'
#top = 2... | {
"repo_name": "eokeeffe/Image_dataset_grabbers",
"path": "BImages/downloader.py",
"copies": "1",
"size": "2224",
"license": "mit",
"hash": -7048518863243289000,
"line_mean": 30.323943662,
"line_max": 78,
"alpha_frac": 0.5867805755,
"autogenerated": false,
"ratio": 3.2,
"config_test": false,
"... |
bl_info = {
"name": "ThreeJS",
"author": "Devin Chen <d3vin.chen@gmail.com>",
"version": (0, 0, 1),
"blender": (2, 74, 0),
"location": "Render > Engine > ThreeJS",
"description": "WebGL render in Chrome",
"warning": "",
#"wiki_url": "http://wiki.blender.org/index.php/Extensions:2.5/Py/"... | {
"repo_name": "sp-chenyang/bj101-online3d",
"path": "blender/render_threejs/__init__.py",
"copies": "1",
"size": "1622",
"license": "mit",
"hash": 1644347218524565000,
"line_mean": 28.5090909091,
"line_max": 71,
"alpha_frac": 0.5702836005,
"autogenerated": false,
"ratio": 3.290060851926978,
"co... |
#!/bin/python
# bunch of tornado imports
import tornado.httpserver
import tornado.ioloop
import tornado.options
import tornado.web
from tornado.options import define, options
define("port", default=8000, help="run on the given port", type=int)
# how define takes port input from command line?
# tornado.options par... | {
"repo_name": "avinassh/learning-tornado",
"path": "tornado-book/simple_web_services/hello.py",
"copies": "1",
"size": "2955",
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#!../bin/python
"""
Calling this module creates the client portion
of the mediacenter.
TODO: Split most ui components in a new yam/ui/ subfolder
"""
import logging
import sys
from PySide import QtDeclarative
from PySide.QtCore import *
import PySide.QtCore as QtCore
from PySide.QtDeclarative import QDeclarativeView
f... | {
"repo_name": "Aleksandre/YAM",
"path": "yam/clientapp.py",
"copies": "1",
"size": "41354",
"license": "mit",
"hash": 5838726015086602000,
"line_mean": 35.6947648625,
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"alpha_frac": 0.6021908401,
"autogenerated": false,
"ratio": 4.320760631073033,
"config_test": true,
"has_no_... |
# deactivate interactive plotting
import matplotlib
matplotlib.use('Agg')
import os, sys, re
import traceback
from optparse import OptionParser
import fileinput
import datetime
from pytadbit import Chromosome
######################################
# Timestamp
######################################
def timeStamp():
... | {
"repo_name": "BauerLab/ngsane",
"path": "tools/fithic-fixedBins/callTADs.py",
"copies": "3",
"size": "4405",
"license": "bsd-3-clause",
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"con... |
#!/bin/python
# change above line to point to local
# python executable
#
#dependencies: Python
#
import sys
from pprint import pprint, pformat
def ensuredir(dir):
import os
if not os.path.exists(dir):
os.makedirs(dir)
def main():
import email, imaplib, os
from email.parser import HeaderPars... | {
"repo_name": "sys0dm1n/DownMailAtt",
"path": "DownAtt.py",
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"has_no_k... |
#!/bin/python
# Classes to make it easier to deal with Uwyo LDAP server
# Originally was going to work with ARCC LDAP too,
# but the two servers are very different.
# A lot of this code could be better.
import ldap
import re
URL = 'ldaps://windows.uwyo.edu'
BASE = 'dc=windows,dc=uwyo,dc=edu'
USER = 'Person'
USERS = U... | {
"repo_name": "WyoARCC/arcc_metrics",
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... |
#!/bin/python
class Graph:
def __init__(self, n):
self.n = n
self.nodes = [[] for _ in range(n)]
def connect(self, a, b):
self.nodes[a].append(b)
self.nodes[b].append(a)
def find_all_distances(self, s):
distances = [-1 for _ in range(n)]
dis... | {
"repo_name": "migafgarcia/programming-challenges",
"path": "hackerrank/cracking_the_coding_interview/shortest_reach.py",
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#!/bin/python
class linkedinSort:
project_name="";
project_month="";
project_year=0;
def month_to_int(self):
month=self.project_month;
if month == "January":
return 1;
if month == "February":
return 2;
if month == "March":
return 3;
if month == "April":
return 4;
if month == "May":
ret... | {
"repo_name": "agancsos/misc",
"path": "linkedin_sort.py",
"copies": "2",
"size": "3032",
"license": "mit",
"hash": -3913870439926555000,
"line_mean": 28.1538461538,
"line_max": 140,
"alpha_frac": 0.6738126649,
"autogenerated": false,
"ratio": 3.041123370110331,
"config_test": false,
"has_no_... |
#!/bin/python
class MenuItem(object):
"""
constructor
@param {string} label
@param {function} callback
"""
def __init__(self, label, cbk):
self.label = label #label
self.cbk = cbk #callback
self.value = None #state that can be set for prompt or toggle options
class... | {
"repo_name": "qwattash/AI",
"path": "perceptron/menu.py",
"copies": "1",
"size": "4140",
"license": "mit",
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"line_mean": 28.5714285714,
"line_max": 100,
"alpha_frac": 0.5463768116,
"autogenerated": false,
"ratio": 4.2946058091286305,
"config_test": false,
"has_no... |
#/bin/python
class PhysicalParameters (object):
"""This class stores the physical properties of the simulations in
a particular image directory. It has the following properties
Properties:
total_photons: The number of (scaled and added) photons generated to make this image
low_energy:... | {
"repo_name": "woodmd/haloanalysis",
"path": "simulation_reduction/parameter_set.py",
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"ratio": 4.376770538243626,... |
#!/bin/python
class PlaceholderAction:
'''
The placeholderaction .
'''
def __init__(self, key):
if not isinstance(key,str):
raise TypeError("The key for Action is an str, not %s"%(type(str)))
self.__key__ = key
def __get_key__(self):
return self.__key__... | {
"repo_name": "roomai/RoomAI",
"path": "roomai/games/common/ActionRecord.py",
"copies": "1",
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#!/bin/python
class QuickSort(object):
def __init__(self, debugMode = False):
self._debugMode = debugMode
self._swapCount = 0
def partition(self, L, lo, hi):
if hi - lo < 2:
return lo
i = j = lo
v = hi - 1
while i < v:
if L[i] < L[v]:... | {
"repo_name": "lilsweetcaligula/Online-Judges",
"path": "hackerrank/algorithms/sorting/easy/running_time_of_quicksort/py/solution.py",
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"autogenerated... |
#!/bin/python
class striping_reader():
"""A custom context manager that acts like open (from the standard library)
but removes junk and strips every line using string.strip().
usage:
>>> with striping_reader('example.txt', mode='r', buffering=0, junk='|') as f:
... for line in f: ... | {
"repo_name": "matthewmcarlson/python_utilities",
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#!/bin/python
# compiles and deploys "zerofucksgiven" to "/home/user/bin"
# creating subdirectory "bin" if neccesary
from os import path, environ, mkdir
from subprocess import check_output, CalledProcessError
def install(installdir):
binaries = ["fuck", "fucksgiven", "forgiveme"]
for binary in binaries:
... | {
"repo_name": "Fahrradkette/zerofucksgiven",
"path": "install.py",
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"size": "2154",
"license": "mit",
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"config_test": false,
... |
#!/bin/python
#
# compute_fdr_from_pepxml.py - parse any number of pepxml files matching a glob
# pattern and compute fdr and q-value, then write to an output file.
#
# Uses linear combination of comet search engine scores by Philip Wilmarth,
# based on the original method published by Keller, et al (2002).
# standard... | {
"repo_name": "hweej/pilda",
"path": "compute_fdr_from_pepxml.py",
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"line_mean": 40.7623966942,
"line_max": 236,
"alpha_frac": 0.6007025182,
"autogenerated": false,
"ratio": 3.7142594634325614,
"config_test": false,
... |
# comput_fpfh.py
# voxels-at-lems
#
# Created by Maria Isabel Restrepo on 11/8/11.
# Copyright (c) 2011 Brown University. All rights reserved.
import os;
import dbrec3d_batch
import multiprocessing
import Queue
import time
import random
import optparse
import sys
from numpy import log, ceil
from xml.etree.Elem... | {
"repo_name": "mirestrepo/voxels-at-lems",
"path": "dbrec3d/pcl/compute_fpfh.py",
"copies": "1",
"size": "3520",
"license": "bsd-2-clause",
"hash": -8491138556184131000,
"line_mean": 26.0769230769,
"line_max": 108,
"alpha_frac": 0.6355113636,
"autogenerated": false,
"ratio": 3.1178033658104516,
... |
# Copyright 2012, Gregg Tavares.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and t... | {
"repo_name": "caraya/sunshine-markdown",
"path": "prep.py",
"copies": "1",
"size": "4162",
"license": "bsd-3-clause",
"hash": -5144289535750332000,
"line_mean": 31.2635658915,
"line_max": 72,
"alpha_frac": 0.6528111485,
"autogenerated": false,
"ratio": 3.702846975088968,
"config_test": false,
... |
import os
import json
import urllib2
import time
hawkularEndpointPort = os.environ.get("HAWKULAR_METRICS_ENDPOINT_PORT")
statusURL = "http://localhost:" + hawkularEndpointPort + "/hawkular/metrics/status"
while True:
try:
response = urllib2.urlopen(statusURL)
statusCode = response.getcode();
if (stat... | {
"repo_name": "spadgett/hawkular-metrics",
"path": "containers/hawkular-metrics-docker-eap/src/main/docker/hawkular-metrics-poststart.py",
"copies": "2",
"size": "1572",
"license": "apache-2.0",
"hash": -2516040690322415600,
"line_mean": 31.0816326531,
"line_max": 84,
"alpha_frac": 0.703562341,
"au... |
import os
import json
import urllib2
hawkularEndpointPort = os.environ.get("HAWKULAR_METRICS_ENDPOINT_PORT")
statusURL = "http://localhost:" + hawkularEndpointPort + "/hawkular/metrics/status"
response = urllib2.urlopen(statusURL)
statusCode = response.getcode();
# if the status is 200, then continue
if (statusCod... | {
"repo_name": "spadgett/hawkular-metrics",
"path": "containers/hawkular-metrics-docker/src/main/docker/hawkular-metrics-liveness.py",
"copies": "2",
"size": "1269",
"license": "apache-2.0",
"hash": 6343318698719656000,
"line_mean": 32.3947368421,
"line_max": 84,
"alpha_frac": 0.7501970055,
"autogen... |
# Copyright 2017 Google Inc. All rights reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agr... | {
"repo_name": "istio/distroless",
"path": "examples/python3/hello.py",
"copies": "4",
"size": "1045",
"license": "apache-2.0",
"hash": -5241399982914486000,
"line_mean": 32.7096774194,
"line_max": 87,
"alpha_frac": 0.7043062201,
"autogenerated": false,
"ratio": 4.019230769230769,
"config_test":... |
# Copyright 2018-2020 Arm Limited.
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless require... | {
"repo_name": "ARM-software/bob-build",
"path": "tests/transform_source/generator.py",
"copies": "1",
"size": "3301",
"license": "apache-2.0",
"hash": -6455107682873050000,
"line_mean": 36.9425287356,
"line_max": 98,
"alpha_frac": 0.6307179643,
"autogenerated": false,
"ratio": 3.8563084112149535,... |
# Copyright (c) 2013, Arvid Norberg
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#
# * Redistributions of source code must retain the above copyright
# notice, this list of conditi... | {
"repo_name": "majestrate/twister-core",
"path": "libtorrent/tools/run_regression_tests.py",
"copies": "15",
"size": "3314",
"license": "mit",
"hash": 547283738744723800,
"line_mean": 28.8558558559,
"line_max": 80,
"alpha_frac": 0.6888955944,
"autogenerated": false,
"ratio": 3.4520833333333334,
... |
from subprocess import call
from time import sleep
class Panandtilt:
pan_servo = 5
tilt_servo = 6
pan_default_position = 150
tilt_default_position = 150
pan_current_position = 0
tilt_current_position = 0
def servo_control(self, servo, pulsewidth):
call(["echo "+str(servo)+"="+st... | {
"repo_name": "johnnyjacob/lazerdog",
"path": "panandtilt.py",
"copies": "1",
"size": "3006",
"license": "mit",
"hash": -8245562400815924000,
"line_mean": 41.9428571429,
"line_max": 89,
"alpha_frac": 0.7338656021,
"autogenerated": false,
"ratio": 3.639225181598063,
"config_test": false,
"has_... |
# Line algorithm from : http://en.wikipedia.org/wiki/Bresenham's_line_algorithm
def line(x0, y0, x1, y1):
x = 0
y = y0
dx = x1 - x0
dy = y1 - y0
D = (2*dy) - dx
yield x0, y0
for x in range(x0+1, x1+1):
if (D > 0) :
y = y +1
yield x, y
D = D + (... | {
"repo_name": "johnnyjacob/lazerdog",
"path": "line.py",
"copies": "1",
"size": "1571",
"license": "mit",
"hash": -8071119381372866000,
"line_mean": 35.5348837209,
"line_max": 79,
"alpha_frac": 0.6779121579,
"autogenerated": false,
"ratio": 3.58675799086758,
"config_test": false,
"has_no_keyw... |
#Copyright (c) 2013, Regents of the University of California
#All rights reserved.
#
#Redistribution and use in source and binary forms, with or without
#modification, are permitted provided that the following conditions are met:
#
#1. Redistributions of source code must retain the above copyright notice,
#this list o... | {
"repo_name": "amplab/smash",
"path": "test/test_helper.py",
"copies": "1",
"size": "2667",
"license": "bsd-2-clause",
"hash": -1318559419425340400,
"line_mean": 37.6666666667,
"line_max": 79,
"alpha_frac": 0.7690288714,
"autogenerated": false,
"ratio": 3.541832669322709,
"config_test": false,
... |
# Copyright (C) 2014 Computer Architecture and Parallel Systems Laboratory (CAPSL)
#
# Original
# author: Sergio Pino
# E-mail: sergiop@udel.edu
#
# License
#
# Redistribution of this code is allowed only after an explicit permission is
# given by the original author or CAPSL and this license should be i... | {
"repo_name": "spino327/dwarfs",
"path": "dense_algebra/mxv_hadoop/src/python/MatrixGenerator.py",
"copies": "1",
"size": "2864",
"license": "mit",
"hash": 1582325977062765300,
"line_mean": 34.8125,
"line_max": 116,
"alpha_frac": 0.6462988827,
"autogenerated": false,
"ratio": 3.2995391705069124,
... |
#Copyright (c) 2015, Justin R. Klesmith
#All rights reserved.
#CodonSwap: Swap codons for synonymous mutations
import argparse
import os
#Set the author information
__author__ = "Justin R. Klesmith"
__copyright__ = "Copyright 2015, Justin R. Klesmith"
__credits__ = ["Justin R. Klesmith", "Timothy A. Whitehead"]
__li... | {
"repo_name": "JKlesmith/Bioinformatics",
"path": "CodonSwap.py",
"copies": "1",
"size": "3877",
"license": "bsd-3-clause",
"hash": -3987033264204612000,
"line_mean": 38.5714285714,
"line_max": 161,
"alpha_frac": 0.5563580088,
"autogenerated": false,
"ratio": 2.458465440710209,
"config_test": f... |
# Copyright (c) 2015, Yaroslav Ganin (yaroslav.ganin@gmail.com)
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without modification,
# are permitted provided that the following conditions are met:
#
# - Redistributions of source code must retain the above copyright notice,
# th... | {
"repo_name": "chen1474147/Deep3DPose-1-skel",
"path": "5-caffe/examples/adaptation/scripts/prepare_dirs.py",
"copies": "2",
"size": "5464",
"license": "mit",
"hash": -8049570458959009000,
"line_mean": 32.1151515152,
"line_max": 120,
"alpha_frac": 0.6332357247,
"autogenerated": false,
"ratio": 3.... |
import cv2
#import numpy
from apriltag import apriltag
TAGTYPE = 'tagStandard41h12'
imagepath = '/home/jony/Pictures/tag-detect-test.png'
BBCOLOR = 255,0,255
FONT = cv2.FONT_HERSHEY_SIMPLEX
if __name__ == '__main__':
tag_detector = apriltag(TAGTYPE)
cam = cv2.VideoCapture(2)
while cv2.waitKey(1) != 0x1... | {
"repo_name": "johnnyjacob/lazerdog",
"path": "perception/ground_plane/detector.py",
"copies": "1",
"size": "1964",
"license": "mit",
"hash": 7693875424320947000,
"line_mean": 38.28,
"line_max": 79,
"alpha_frac": 0.700101833,
"autogenerated": false,
"ratio": 3.5387387387387386,
"config_test": f... |
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by a... | {
"repo_name": "luotao1/Paddle",
"path": "paddle/scripts/conda_build.py",
"copies": "1",
"size": "10011",
"license": "apache-2.0",
"hash": 1782764271552015600,
"line_mean": 29.8981481481,
"line_max": 105,
"alpha_frac": 0.5564878634,
"autogenerated": false,
"ratio": 3.2779960707269153,
"config_te... |
#!/bin/python
'''
crawls the youtube search results for terms specified in terms.txt (one per line).
usage:
controtube.py [starterm] [searchpage]
starterm = the term to resume search
searchpage = the last unfinished search page
Requires a running elasticsearch instance on port 9200!
'''
from youtube import *... | {
"repo_name": "ControCurator/controcurator",
"path": "python_code/youtube_scraping/controtube.py",
"copies": "1",
"size": "2214",
"license": "mit",
"hash": -2301820053272476200,
"line_mean": 28.9189189189,
"line_max": 98,
"alpha_frac": 0.6964769648,
"autogenerated": false,
"ratio": 3.158345221112... |
#!/bin/python
# Create a bar graph of the number of users on Mt Moran for each college.
# The information comes from ARCC's ldap server and UWyo's AD server.
# Requires ldap, matplotlib, numpy
import uwyoldap
import getpass
import matplotlib.pyplot as plt
import numpy as np
import ldap
from sys import exit
# Whethe... | {
"repo_name": "WyoARCC/arcc_metrics",
"path": "user_colleges.py",
"copies": "1",
"size": "3014",
"license": "mit",
"hash": -8417251753272694000,
"line_mean": 25.6725663717,
"line_max": 77,
"alpha_frac": 0.6486396815,
"autogenerated": false,
"ratio": 3.123316062176166,
"config_test": false,
"h... |
#!/bin/python
# Creates two csv files for Gephi of groups and their users.
# One contains data for the nodes, the other for the edges.
# An input file needs to be given as an argument.
# This file should be generated with the following command:
# sacct --starttime MMDDYY -a -P -n -s CD -o User,Account,CPUTimeRAW > inp... | {
"repo_name": "WyoARCC/arcc_metrics",
"path": "usernetplot/usernetplot.py",
"copies": "1",
"size": "6396",
"license": "mit",
"hash": 4936940659870129000,
"line_mean": 30.5073891626,
"line_max": 90,
"alpha_frac": 0.6479049406,
"autogenerated": false,
"ratio": 3.382337387625595,
"config_test": fa... |
#!/bin/python
def calculate_bid(player,pos,first_moves,second_moves):
"""your logic here"""
###
import random
bank = 100
win = True
first_wins = []
for a, b in zip(first_moves, second_moves):
if a == b:
if win:
first_wins.append(a)
else:
... | {
"repo_name": "pbl64k/CodeSprints",
"path": "CodeSlam-2012-10-13-SAP/TheBiddingGame/tbg.py",
"copies": "1",
"size": "1864",
"license": "bsd-2-clause",
"hash": 3487120839767941000,
"line_mean": 20.9294117647,
"line_max": 63,
"alpha_frac": 0.5134120172,
"autogenerated": false,
"ratio": 3.2305025996... |
#!/bin/python
def CalculateProductAtIndex(index, number, length_to_use):
product = 1
for i in range(index, index - length_to_use, -1):
product *= int(number[i])
return product
def LargestConsecutiveProduct(number, length_to_use):
product = CalculateProductAtIndex(length_to_use - 1, number, length_to_use)
... | {
"repo_name": "aawc/ProjectEuler",
"path": "08/largestConsecutiveProduct.py",
"copies": "1",
"size": "1969",
"license": "mit",
"hash": -4267529940776948700,
"line_mean": 34.8,
"line_max": 77,
"alpha_frac": 0.8009141696,
"autogenerated": false,
"ratio": 2.6789115646258503,
"config_test": false,
... |
#!/bin/python
def countingSort(L, lo, hi, key=lambda x : x):
if lo >= hi:
return
maxKey = minKey = key(L[lo])
for i in range(lo, hi):
item = L[i]
itemKey = key(item)
if itemKey > maxKey:
maxKey = itemKey
elif itemKey < minKey:
mi... | {
"repo_name": "lilsweetcaligula/Online-Judges",
"path": "hackerrank/algorithms/sorting/medium/the_full_counting_sort/py/solution.py",
"copies": "1",
"size": "1350",
"license": "mit",
"hash": 1075517593278288500,
"line_mean": 21.8813559322,
"line_max": 67,
"alpha_frac": 0.4992592593,
"autogenerated"... |
#!/bin/python
def last_key(node):
return node.keys[-1]
class Node:
def __init__(self, data, parent):
self.parent = parent
self.keys = [data]
self.max_keys = 2
self.max_children = 3
self.children = []
def add_key(self, key):
self.keys.append(key)
sel... | {
"repo_name": "chenthillrulz/fun_with_python",
"path": "2_3_4_tree.py",
"copies": "1",
"size": "3346",
"license": "apache-2.0",
"hash": 2518993825348341000,
"line_mean": 23.9701492537,
"line_max": 98,
"alpha_frac": 0.5508069337,
"autogenerated": false,
"ratio": 3.4212678936605316,
"config_test"... |
#!/bin/python
def lesConfig():
adresser = []
sistoppdatert = []
navn = []
aPre = "address:"
tPre = "last updated:"
hPre = "title:"
try:
f = open("con.cfg", "r")
for line in f:
lst = line.strip()
if (lst.startswith("#")):
continue
... | {
"repo_name": "joards/simple-python-rss-to-mail",
"path": "iorss.py",
"copies": "1",
"size": "1226",
"license": "mit",
"hash": -4418656313898921000,
"line_mean": 23.0392156863,
"line_max": 66,
"alpha_frac": 0.4706362153,
"autogenerated": false,
"ratio": 3.3135135135135134,
"config_test": false,... |
#!/bin/python
def read_files(tarfname):
"""Read the training and development data from the speech tar file.
The returned object contains various fields that store the data, such as:
train_data,dev_data: array of documents (array of words)
train_fnames,dev_fnames: list of filenames of the doccuments (same length a... | {
"repo_name": "sameersingh/uci-statnlp",
"path": "hw1/speech.py",
"copies": "1",
"size": "5793",
"license": "apache-2.0",
"hash": 1124437936350906900,
"line_mean": 31.7288135593,
"line_max": 106,
"alpha_frac": 0.7163818402,
"autogenerated": false,
"ratio": 2.984544049459042,
"config_test": fals... |
#!/bin/python
def swap(findex, sindex, ar):
ar[findex], ar[sindex] = ar[sindex], ar[findex]
def partition(ar, lo, hi):
'''3 way djisktra partition method'''
start = lo
pivotIndex = (lo+hi)//2
# take the elemet @ hi as the pivot and swap it to pivotIndex position
swap(pivotIndex, hi, ar)
pi... | {
"repo_name": "codecakes/algorithms",
"path": "algorithms/code30DaysImp/helper/quicksort.py",
"copies": "1",
"size": "1313",
"license": "mit",
"hash": 3221471562013456000,
"line_mean": 26.375,
"line_max": 74,
"alpha_frac": 0.53541508,
"autogenerated": false,
"ratio": 3.1411483253588517,
"config... |
#!/bin/python
#
# DHash implementation for image matching
# Optimized for mass image loads
# Uses VP-tree for hash comparisons
#
from PIL import Image
from fnmatch import filter
from multiprocessing import Process
from pylab import linspace, meshgrid, arange, imshow, show, zeros, asarray
import os, re
import argp... | {
"repo_name": "eokeeffe/ImageSimilarity-Python",
"path": "main.py",
"copies": "1",
"size": "8242",
"license": "mit",
"hash": -2713259374688789000,
"line_mean": 30.1018867925,
"line_max": 102,
"alpha_frac": 0.6020383402,
"autogenerated": false,
"ratio": 3.7109410175596578,
"config_test": false,
... |
#!/bin/python
#File Crawling
#Things that are done:
# -Crawling of music files
# -Inserting and storing in a local Database (Song_list.db)
# -Database: ID, Title, Absolute file path(Storing is maybe wrong. Double Slash),
# LengthofSong(Seconds),Artist, album, albumArt, albumArtType(3 - album cover)
#... | {
"repo_name": "hanvo/MusicCloud",
"path": "Crawler/Crawler-Src/crawling.py",
"copies": "1",
"size": "4304",
"license": "bsd-3-clause",
"hash": 6466057218992534000,
"line_mean": 31.3609022556,
"line_max": 224,
"alpha_frac": 0.5436802974,
"autogenerated": false,
"ratio": 3.818988464951198,
"confi... |
#!/bin/python
from argparse import (ArgumentParser, ArgumentDefaultsHelpFormatter)
import logging
from os import getcwd
from os import path as ospath
import sys
from nbd.command import cd_if_necessary
from nbd.const import PKG_NAME
from nbd.diff import DiffGenerator
from nbd.export import NotebookExporter
from nbd.fi... | {
"repo_name": "lcary/nbd",
"path": "nbd/main.py",
"copies": "1",
"size": "3419",
"license": "mit",
"hash": -3035200163251519000,
"line_mean": 25.0992366412,
"line_max": 70,
"alpha_frac": 0.6814858146,
"autogenerated": false,
"ratio": 3.568893528183716,
"config_test": false,
"has_no_keywords":... |
#!/bin/python
from collections import defaultdict, deque
from functools import wraps
from functools import partial as ptl
class Cacher(object):
def __init__(self, func):
self.func = func
self.cache = {}
def __call__(self, *args):
if args not in self.cache:
self.cache... | {
"repo_name": "codecakes/algorithms_monk",
"path": "tries/contacts.py",
"copies": "1",
"size": "5768",
"license": "mit",
"hash": 2902106920213321000,
"line_mean": 29.8502673797,
"line_max": 214,
"alpha_frac": 0.5249653259,
"autogenerated": false,
"ratio": 4.278931750741839,
"config_test": false... |
#!/bin/python
from ctypes import *
import asyncio
import os
from itertools import count, takewhile
import struct
from types import MethodType
import concurrent
import threading
import time
import platform
from .utils import Logger, Event
import sys
# Enable this for better tracebacks in some cases
#import tracemalloc... | {
"repo_name": "madcowswe/ODrive",
"path": "tools/odrive/pyfibre/fibre/libfibre.py",
"copies": "1",
"size": "39468",
"license": "mit",
"hash": -3736350970461264400,
"line_mean": 36.269121813,
"line_max": 210,
"alpha_frac": 0.6219975676,
"autogenerated": false,
"ratio": 3.631913131499034,
"config... |
#!/bin/python
from datetime import timedelta
from pprint import pprint as pp
import json
import Monstr.Core.Utils as Utils
import Monstr.Core.DB as DB
import Monstr.Core.BaseModule as BaseModule
import pytz
from Monstr.Core.DB import Column, Integer, String, DateTime, UniqueConstraint, func
class CMSJobStatus(Bas... | {
"repo_name": "tier-one-monitoring/monstr",
"path": "Monstr/Modules/CMSJobStatus/CMSJobStatus.py",
"copies": "1",
"size": "9424",
"license": "apache-2.0",
"hash": 2952674472958243300,
"line_mean": 44.9756097561,
"line_max": 379,
"alpha_frac": 0.4978777589,
"autogenerated": false,
"ratio": 4.13696... |
#!/bin/python
from deap import tools
import numpy as np
epochStatisticsNames = {
'avg': 'Average profit',
'std': 'Profit variation',
'min': 'Minimum profit',
'max': 'Maximum profit',
'size': 'Population size',
'maxsize': 'Max population size',
'avgTrades': 'Avg trade number',
'sharpe':... | {
"repo_name": "Gab0/gekkoJaponicus",
"path": "evaluation/gekko/statistics.py",
"copies": "1",
"size": "2549",
"license": "mit",
"hash": -2450411621466724000,
"line_mean": 33.9178082192,
"line_max": 81,
"alpha_frac": 0.6335817968,
"autogenerated": false,
"ratio": 3.6676258992805755,
"config_test... |
#!/bin/python
from flask import Flask
import threading
import time
from datetime import datetime, timedelta
import sys
import RPi.GPIO as GPIO
PIN = 25
app = Flask(__name__)
GPIO.setmode(GPIO.BCM)
GPIO.setwarnings(False)
GPIO.setup(PIN, GPIO.OUT)
led_status = False
time_thread = None
@app.route('/time/off')
def ti... | {
"repo_name": "piotrgiedziun/university",
"path": "embeded_systems_applications/server.py",
"copies": "1",
"size": "2180",
"license": "mit",
"hash": -2599922438706432000,
"line_mean": 18.6486486486,
"line_max": 77,
"alpha_frac": 0.6495412844,
"autogenerated": false,
"ratio": 2.718204488778055,
... |
#!/bin/python
from __future__ import division
import random
import scipy
from numpy.random import dirichlet, multinomial, randint
from scipy import array, zeros, bincount, shape, logical_and
from tictoc import tic, toc
#from disthelper import dirrnd
# let's first create some random topics
# then mix them to create sa... | {
"repo_name": "hughperkins/pub-prototyping",
"path": "py/test/testlda.py",
"copies": "1",
"size": "2885",
"license": "apache-2.0",
"hash": 981007383932452000,
"line_mean": 21.8968253968,
"line_max": 82,
"alpha_frac": 0.5493934142,
"autogenerated": false,
"ratio": 2.7423954372623576,
"config_tes... |
#!/bin/python
from __future__ import print_function
from __future__ import division
from random import random
from random import randrange
from random import choice
from datetime import datetime
from gmusicapi import Mobileclient
from sys import exit
api = Mobileclient()
loggedin = api.login('lol', 'nope')
if logged... | {
"repo_name": "Asky314159/jrayfm-controlboard",
"path": "gmusic/gmusic.py",
"copies": "1",
"size": "3340",
"license": "mit",
"hash": 6475921885248431000,
"line_mean": 26.3852459016,
"line_max": 104,
"alpha_frac": 0.6080838323,
"autogenerated": false,
"ratio": 3.5418875927889713,
"config_test": ... |
#!/bin/python
from __future__ import print_function
import sys
import json
import re
import argparse
argparser = argparse.ArgumentParser("Parse QSF to Json")
argparser.add_argument('-q', '--qsf', help='Input QSF File')
argparser.add_argument('-g', '--group', default=[], help='Signal Group', action='append')
argparser... | {
"repo_name": "8l/connectal",
"path": "scripts/parse_qsf.py",
"copies": "1",
"size": "2295",
"license": "mit",
"hash": -3013358133131020000,
"line_mean": 28.0506329114,
"line_max": 103,
"alpha_frac": 0.5337690632,
"autogenerated": false,
"ratio": 3.591549295774648,
"config_test": false,
"has_... |
#!/bin/python
from __future__ import with_statement
import os
import re
import logging
import multiprocessing
import hashlib
from optparse import OptionParser
from assetman.manifest import Manifest
from assetman.tools import iter_template_paths, get_static_pattern, make_relative_static_path, make_absolute_static_p... | {
"repo_name": "bitly/assetman",
"path": "assetman/compile.py",
"copies": "2",
"size": "19376",
"license": "apache-2.0",
"hash": -8718647905120259000,
"line_mean": 39.7915789474,
"line_max": 132,
"alpha_frac": 0.6417217176,
"autogenerated": false,
"ratio": 3.9745641025641025,
"config_test": true... |
#!/bin/python
from HTMLParser import HTMLParser
from htmlentitydefs import name2codepoint
import re
import io
file_data = []
class Dialogue:
speaker = ""
line = ""
def check_tag(end_tag):
global file_data
#if end_tag == "table" or end_tag == "head":
# print end_tag
if end_tag == "... | {
"repo_name": "varunagrawal/Novella",
"path": "Plays/Novella_Parser.py",
"copies": "1",
"size": "1961",
"license": "mit",
"hash": 6116908901314482000,
"line_mean": 22.9146341463,
"line_max": 81,
"alpha_frac": 0.5594084651,
"autogenerated": false,
"ratio": 3.4104347826086956,
"config_test": fals... |
#!/bin/python
from . import gekkoTrigger
try:
from . import assetAllocator
except Exception:
pass
from dateutil import parser as dateparser
import datetime
import csv
import re
import random
from subprocess import Popen, PIPE
import pytoml
import os
import time
import json
def calculateMostIndicatedAssets... | {
"repo_name": "Gab0/gekkoJaponicus",
"path": "livetrader/gekkoChecker.py",
"copies": "1",
"size": "7092",
"license": "mit",
"hash": 302065178427520700,
"line_mean": 31.0904977376,
"line_max": 83,
"alpha_frac": 0.6159052453,
"autogenerated": false,
"ratio": 4.4325,
"config_test": false,
"has_n... |
#!/bin/python
from . import halt, Settings, interface
from time import sleep
import random
from threading import Thread
from .evolution_generations import Generations
import datetime
import os
import waitress
import promoterz
from version import VERSION
def launchWebEvolutionaryInfo():
print("WEBSERVER MOD... | {
"repo_name": "Gab0/gekkoJaponicus",
"path": "japonicus/japonicus.py",
"copies": "1",
"size": "5398",
"license": "mit",
"hash": 1543889517382716700,
"line_mean": 30.9408284024,
"line_max": 93,
"alpha_frac": 0.563171545,
"autogenerated": false,
"ratio": 4.601875532821825,
"config_test": false,
... |
#!/bin/python
from itertools import cycle, tee, izip
import requests
from bs4 import BeautifulSoup
import json
url_base = 'http://www.etymonline.com'
url_listing = '/search?q='
url_param_page = '&page='
letters = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm',
'n', 'o', 'p', 'q', 'r', 's... | {
"repo_name": "arielallon/etymoffline",
"path": "offliner/offliner.py",
"copies": "1",
"size": "1882",
"license": "apache-2.0",
"hash": 8195033039924357000,
"line_mean": 29.3548387097,
"line_max": 98,
"alpha_frac": 0.5781083953,
"autogenerated": false,
"ratio": 3.1683501683501682,
"config_test"... |
#!/bin/python
from itertools import groupby
from flask import render_template
from dateutil.tz import tzoffset
from dateutil.tz import tzlocal
from datetime import datetime
from dateutil.relativedelta import relativedelta
from webcronmon import api
server_tz = tzoffset('server-timezone', api.utc_offset() * 3600)
loc... | {
"repo_name": "seantis/webcronmon",
"path": "webcronmon/views.py",
"copies": "1",
"size": "3983",
"license": "mit",
"hash": -5214976085826339000,
"line_mean": 24.5320512821,
"line_max": 79,
"alpha_frac": 0.6013055486,
"autogenerated": false,
"ratio": 3.826128722382325,
"config_test": true,
"h... |
#!/bin/python
from lxml import objectify
import pywikibot
from pywikibot import pagegenerators, WikidataBot
repo = pywikibot.Site().data_repository()
namespaces = {'slim': 'http://www.loc.gov/MARC21/slim'}
property_to_xpath = {
'P569': 'slim:datafield[@tag="046"]/slim:subfield[@code="f"]', # date of birth
'... | {
"repo_name": "eranroz/marc_to_wikidata",
"path": "marc_to_wikidata.py",
"copies": "1",
"size": "2845",
"license": "mit",
"hash": 6413354566416992000,
"line_mean": 34.5625,
"line_max": 110,
"alpha_frac": 0.6200351494,
"autogenerated": false,
"ratio": 3.4526699029126213,
"config_test": false,
... |
#!/bin/python
from majority_vote import MajorityVoteGrader
from embedded_controls import ControlsGrader
from troia_em import EMGrader
import csv
import sys
from label_map import gold_labels, mturk_labels
CSV_PATH = sys.argv[1]
def map_tweet_id_to_tweet():
tweet_map = dict()
for hit in csv.DictReader(open(CSV_PATH,... | {
"repo_name": "manosai/tweepy",
"path": "assignment_4/quality_estimation.py",
"copies": "1",
"size": "2829",
"license": "mit",
"hash": -8964543366605863000,
"line_mean": 40.6029411765,
"line_max": 148,
"alpha_frac": 0.7073170732,
"autogenerated": false,
"ratio": 2.86046511627907,
"config_test":... |
#!/bin/python
from os import walk
from os.path import join, relpath, normpath
from json import load, dump
from multiprocessing import Pool
oldpath = "./experimental/translations"
newpath = "./translations"
substitutions = dict()
with open(join(newpath, "substitutions.json"),"r") as f:
substitutions = load(f)
fi... | {
"repo_name": "MonsterNya/Starbound_RU",
"path": "tools/copy_denied.py",
"copies": "10",
"size": "2420",
"license": "apache-2.0",
"hash": 3506003734280336400,
"line_mean": 30.8421052632,
"line_max": 74,
"alpha_frac": 0.5685950413,
"autogenerated": false,
"ratio": 4.013266998341625,
"config_test... |
from PIL import Image, ImageDraw, ImageFont
import textwrap
"""
The MIT License (MIT)
Copyright (c) 2016 Saurabh Deochake
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, in... | {
"repo_name": "saurabh-deochake/air-bot",
"path": "app/data.py",
"copies": "1",
"size": "2079",
"license": "mit",
"hash": 6848121348032555000,
"line_mean": 36.1428571429,
"line_max": 160,
"alpha_frac": 0.7474747475,
"autogenerated": false,
"ratio": 3.5417376490630326,
"config_test": false,
"h... |
#!/bin/python
from PyQt5.QtCore import *
from PyQt5.QtWidgets import *
import subprocess, shlex
import signal, atexit
import os, sys
def main():
stations = [
{"d":"nrk", "station":"p1_more_og_romsdal", "name":"NRK P1"},
{"d":"nrk", "station":"p2", "name":"NRK P2"},
{"d":"nrk", "station":"... | {
"repo_name": "chinatsu/dumbscripts",
"path": "shitradio.py",
"copies": "1",
"size": "5676",
"license": "mit",
"hash": 1435736066827342600,
"line_mean": 38.6783216783,
"line_max": 97,
"alpha_frac": 0.5824814945,
"autogenerated": false,
"ratio": 3.2571756601607347,
"config_test": false,
"has_n... |
#!/bin/python
from roomai.games.common import AbstractActionChance
from roomai.games.bang import PlayingCard
from roomai.games.bang import CharacterCard
from roomai.games.bang import RoleCard
from roomai.games.bang import AllPlayingCardsDict
from roomai.games.bang import AllCharacterCardsDict
from roomai.games.bang i... | {
"repo_name": "roomai/RoomAI",
"path": "roomai/games/bang/BangActionChance.py",
"copies": "1",
"size": "3162",
"license": "mit",
"hash": -2031979268752747000,
"line_mean": 44.1714285714,
"line_max": 208,
"alpha_frac": 0.6938646426,
"autogenerated": false,
"ratio": 3.626146788990826,
"config_tes... |
#!/bin/python
from roomai.games.common import AbstractStatePublic
class PublicPlayerInfo(object):
def __init__(self):
self.__num_hand_cards__ = 0
self.__character_card__ = None
self.__equipment_cards__ = []
self.__is_alive__ = True
def __get_num_hand_cards__(self): ... | {
"repo_name": "roomai/RoomAI",
"path": "roomai/games/bang/BangStatePublic.py",
"copies": "1",
"size": "4475",
"license": "mit",
"hash": 6270638435126241000,
"line_mean": 36.6050420168,
"line_max": 153,
"alpha_frac": 0.6020111732,
"autogenerated": false,
"ratio": 3.792372881355932,
"config_test"... |
#!bin/python
from sys import stdin
from sys import exit
import logging
from ConfigParser import SafeConfigParser
from select import select
from oyoyo.client import IRCClient
from oyoyo.cmdhandler import DefaultCommandHandler
from oyoyo import helpers
from cmd import Cmd
privmsg_handlers = []
channelmsg_handlers ... | {
"repo_name": "LeftyBC/lefty-pybot",
"path": "bot.py",
"copies": "1",
"size": "4196",
"license": "bsd-2-clause",
"hash": 4355823870369033700,
"line_mean": 26.6052631579,
"line_max": 83,
"alpha_frac": 0.5567206864,
"autogenerated": false,
"ratio": 4.089668615984405,
"config_test": true,
"has_n... |
#!/bin/python
from tls import *
DEFAULT_CIPHERS = [TLS_RSA_WITH_RC4_128_MD5,
TLS_RSA_WITH_RC4_128_SHA,
TLS_RSA_WITH_3DES_EDE_CBC_SHA,
TLS_RSA_WITH_AES_128_CBC_SHA,
TLS_RSA_WITH_AES_256_CBC_SHA,
TLS_RSA_WITH_AES_128_CBC_SHA2... | {
"repo_name": "WestpointLtd/tls_prober",
"path": "prober_utils.py",
"copies": "1",
"size": "9078",
"license": "mit",
"hash": 4348938353494863000,
"line_mean": 41.0277777778,
"line_max": 73,
"alpha_frac": 0.4777484027,
"autogenerated": false,
"ratio": 3.7825,
"config_test": false,
"has_no_keyw... |
#!/bin/python
from zeroos.core0.client import Client
import sys
import time
"""
This script expect you know the IP of the core0 and you can access it from the machine running this script.
an easy way to do it is to build the initramfs with a customr zerotier network id (https://github.com/g8os/initramfs/tree/0.10.0#c... | {
"repo_name": "g8os/core0",
"path": "docs/_archive/examples/mongodb.py",
"copies": "1",
"size": "3162",
"license": "apache-2.0",
"hash": -7193409144151055000,
"line_mean": 33.7472527473,
"line_max": 145,
"alpha_frac": 0.6049968374,
"autogenerated": false,
"ratio": 3.4633077765607885,
"config_te... |
#! /bin/python
"""
Functions that construct random :py:class:`~achemkit.reactionnet.ReactionNetwork` instances by various methods.
This is designed to provide null hypothesis data for various situations and metrics. As with random graphs, there is no single best way to generate a random reaction network.
"""
import ra... | {
"repo_name": "afaulconbridge/PyAChemKit",
"path": "achemkit/randomnet.py",
"copies": "1",
"size": "11485",
"license": "bsd-3-clause",
"hash": -8233228743701772000,
"line_mean": 39.7269503546,
"line_max": 336,
"alpha_frac": 0.6414453635,
"autogenerated": false,
"ratio": 4.0583038869257955,
"con... |
import os, sys, re
import traceback
from optparse import OptionParser
import fileinput
import datetime
from readData import *
from quicksect import IntervalTree
import gzip
from scipy.sparse import lil_matrix
import numpy
# manage option and arguments processing
def main():
global options
global args
usag... | {
"repo_name": "aehrc/ngsane",
"path": "tools/fithic-fixedBins/fithicCreate2DcontactMap.py",
"copies": "3",
"size": "11610",
"license": "bsd-3-clause",
"hash": -3822162497744411600,
"line_mean": 46.7777777778,
"line_max": 192,
"alpha_frac": 0.6192075797,
"autogenerated": false,
"ratio": 3.96651861... |
import os, sys, re
import traceback
from optparse import OptionParser
import fileinput
import datetime
from readData import *
from quicksect import IntervalTree
import gzip
import numpy as np
import scipy.sparse as ss
# manage option and arguments processing
def main():
global options
global args
usage = ... | {
"repo_name": "BauerLab/ngsane",
"path": "tools/fithic-fixedBins/fithicCountInteractions.py",
"copies": "3",
"size": "10145",
"license": "bsd-3-clause",
"hash": -171680718108003360,
"line_mean": 47.3095238095,
"line_max": 192,
"alpha_frac": 0.637555446,
"autogenerated": false,
"ratio": 3.94133644... |
#!/bin/python
##
## generate GCI tasks for fixing bugs
##
import getopt
import sys
import os
import subprocess
def usage():
print "\
Usage: bugfix.py -[hy:p:]\n\
-h --help print this help\n\
"
def get_mentor(n):
cmd = os.path.join("..","get_mentor") + " " + str(n)
proc = subprocess.Popen(cmd, stdou... | {
"repo_name": "joelsherrill/gci_tasks",
"path": "2018/bugfix/bugfix.py",
"copies": "2",
"size": "2261",
"license": "bsd-2-clause",
"hash": -723021795884394200,
"line_mean": 23.8461538462,
"line_max": 121,
"alpha_frac": 0.6138876603,
"autogenerated": false,
"ratio": 3.0554054054054056,
"config_t... |
#!/bin/python
##
## generate GCI tasks for fixing pages
##
import getopt
import sys
import os
import subprocess
def usage():
print "\
Usage: bugfix.py -[hy:p:]\n\
-h --help print this help\n\
"
def get_mentor(n):
cmd = os.path.join("..","get_mentor") + " " + str(n)
proc = subprocess.Popen(cmd, stdo... | {
"repo_name": "joelsherrill/gci_tasks",
"path": "2018/TBR/TBR.py",
"copies": "2",
"size": "2269",
"license": "bsd-2-clause",
"hash": 5695787718482674000,
"line_mean": 25.3837209302,
"line_max": 121,
"alpha_frac": 0.632437197,
"autogenerated": false,
"ratio": 3.001322751322751,
"config_test": fa... |
#!/bin/python
##
## generate GCI tasks for updating citations
##
import getopt
import sys
import os
import subprocess
def usage():
print "\
Usage: citations.py -[hy:p:]\n\
-h --help print this help\n\
"
def get_mentor(n):
cmd = os.path.join("..","get_mentor") + " " + str(n)
proc = subprocess.Popen(... | {
"repo_name": "gedare/gci_tasks",
"path": "2013/examples-v2_waf/examples-v2_waf.py",
"copies": "2",
"size": "2000",
"license": "bsd-2-clause",
"hash": 567079925578168900,
"line_mean": 25.6666666667,
"line_max": 117,
"alpha_frac": 0.6415,
"autogenerated": false,
"ratio": 3.252032520325203,
"conf... |
#!/bin/python
# Generates an ansible inventory for a given list of libvirt guests
import subprocess
import libvirt
import libxml2
import sys
import re
try:
import json
except:
import simplejson as json
# For now justrReturn just the first interface
def getHWAddr(dom):
xml = libxml2.parseDoc(dom.XMLDes... | {
"repo_name": "imcsk8/ansible-tools",
"path": "livbirt_inventory.py",
"copies": "1",
"size": "1545",
"license": "apache-2.0",
"hash": -4111077118328507000,
"line_mean": 21.7205882353,
"line_max": 84,
"alpha_frac": 0.6194174757,
"autogenerated": false,
"ratio": 3.259493670886076,
"config_test": ... |
#!/bin/python
'''
Get Crowdynews articles for the controcurator project
'''
import elasticsearch
import requests
import datetime
import time
from collections import Counter
from pprint import pprint
MAXTRIES = 5
ARTICLES = 'http://q.crowdynews.com/v1/articles/controcurator?count=100'
SOURCE = 'guardian-vaccination'
... | {
"repo_name": "ControCurator/controcurator",
"path": "python_code/crowdycrawl/get_crowdy_vaccination.py",
"copies": "1",
"size": "5223",
"license": "mit",
"hash": 5880179000361567000,
"line_mean": 26.9304812834,
"line_max": 115,
"alpha_frac": 0.6678154317,
"autogenerated": false,
"ratio": 2.91624... |
#!/bin/python
#
# Google Image extractor
#
import urllib, urllib2
import simplejson
import cStringIO
import os, sys
fetcher = urllib2.build_opener()
numberOfPages = int(sys.argv[1])
searchTerm = ""
for i in xrange(2,len(sys.argv)):
searchTerm += sys.argv[i]+"+"
searchTerm = searchTerm[:-1]
startIndex = 0
counter... | {
"repo_name": "eokeeffe/Image_dataset_grabbers",
"path": "GImages/downloader.py",
"copies": "1",
"size": "1211",
"license": "mit",
"hash": 7835819529820566000,
"line_mean": 27.1627906977,
"line_max": 115,
"alpha_frac": 0.6424442609,
"autogenerated": false,
"ratio": 3.272972972972973,
"config_te... |
#!/bin/python
graph = {}
def initialize(graph):
with open("input9.txt") as f:
for line in f:
line = line[:-1].split(' ')
if line[0] not in graph.keys():
graph[line[0]] = {}
graph[line[0]][line[2]] = int(line[4])
if line[2] not in graph.keys()... | {
"repo_name": "seysn/my-aoc-solutions",
"path": "src/not-working/NW_ex9.py",
"copies": "1",
"size": "1911",
"license": "mit",
"hash": 6719456181101572000,
"line_mean": 27.9545454545,
"line_max": 110,
"alpha_frac": 0.4798534799,
"autogenerated": false,
"ratio": 3.732421875,
"config_test": false,... |
#!/bin/python
# HackerLand University has the following grading policy:
#
# Every student receives a grade in the inclusive range from 0 to 100.
# Any grade less than 40 is a failing grade.
#
# Sam is a professor at the university and likes to round each student's grade
# according to these rules:
#
# If t... | {
"repo_name": "chinhtle/python_fun",
"path": "hacker_rank/algorithms/implementation/gradingstudents.py",
"copies": "1",
"size": "2610",
"license": "mit",
"hash": 6100512322529629000,
"line_mean": 29.7058823529,
"line_max": 79,
"alpha_frac": 0.5727969349,
"autogenerated": false,
"ratio": 3.6149584... |
#!/bin/python
# hack to get unicode working with jinja2
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
import glob
import commands as c
from jinja2 import Template, Environment, FileSystemLoader
import os
from tag_ontology import tag_synonyms, tag_implications
from metadata import *
site_dir = "_site/"
tags_... | {
"repo_name": "riceissa/ssg-riceissa.com",
"path": "ssg.py",
"copies": "1",
"size": "9345",
"license": "bsd-2-clause",
"hash": -3555716814746478000,
"line_mean": 27.4042553191,
"line_max": 132,
"alpha_frac": 0.6088817549,
"autogenerated": false,
"ratio": 3.502623688155922,
"config_test": false,... |
#!/bin/python
### Handling Arrays and Reading Grib package
import numpy as np
import numpy.ma as ma
import pandas as pd
### These are helper Fortran functions to speed things up
from HandyMet import *
### Plotting packages
from mpl_toolkits.basemap import Basemap , addcyclic
from matplotlib import pyplot as plt
fro... | {
"repo_name": "abtawfik/Single-Column-Model",
"path": "tests/animation_of_single_profile.py",
"copies": "1",
"size": "9245",
"license": "mit",
"hash": 8745572847577670000,
"line_mean": 35.6865079365,
"line_max": 134,
"alpha_frac": 0.542779881,
"autogenerated": false,
"ratio": 2.613058224985868,
... |
#!/bin/python
### Handling Arrays and Reading Grib package
import time
import numpy as np
from netCDF4 import Dataset
### Plotting packages
import sys
import math
from HandyMet import evaluate_ci_plevels
#################################################
#####
##### Directories and time variables
#####
###########... | {
"repo_name": "abtawfik/Single-Column-Model",
"path": "src/Single_Column_CI.py",
"copies": "1",
"size": "13524",
"license": "mit",
"hash": -4564554439691467000,
"line_mean": 31.9853658537,
"line_max": 212,
"alpha_frac": 0.469609583,
"autogenerated": false,
"ratio": 2.897172236503856,
"config_te... |
#!/bin/python
"""
Hello World, but with more meat.
"""
import wx
class HelloFrame(wx.Frame):
"""
A Frame that says Hello World
"""
def __init__(self, *args, **kw):
# ensure the parent's __init__ is called
super(HelloFrame, self).__init__(*args, **kw)
# create a panel in the f... | {
"repo_name": "OSHI7/Learning1",
"path": "WX_Stuff.py",
"copies": "1",
"size": "3163",
"license": "mit",
"hash": 6417119375486390000,
"line_mean": 30.9494949495,
"line_max": 75,
"alpha_frac": 0.5975339867,
"autogenerated": false,
"ratio": 4.00379746835443,
"config_test": false,
"has_no_keywor... |
#!bin/python
# Helpful script for converting fixed point signed numbers to decimal
def letter2num(x):
if (x == "F" or x == "f"):
return 15
elif (x == "E" or x == "e"):
return 14
elif (x == "D" or x == "d"):
return 13
elif (x == "C" or x == "c"):
return 12
elif (x == "B" or x == "b"):
return 11
elif (x... | {
"repo_name": "stanford-ppl/spatial-lang",
"path": "utilities/converter.py",
"copies": "1",
"size": "2790",
"license": "mit",
"hash": 7497117871840579000,
"line_mean": 17.6,
"line_max": 110,
"alpha_frac": 0.5555555556,
"autogenerated": false,
"ratio": 2.473404255319149,
"config_test": false,
... |
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