text stringlengths 0 1.05M | meta dict |
|---|---|
#!/bin/env python
"""
This script will return the paths that distutils will use for installing
a package. To use this script, execute it the same way that you would
execute setup.py, but instead of providing 'install' or 'build' as the
command, specify 'purelib' or 'platlib' and the corresponding path
will be printed... | {
"repo_name": "collects/VTK",
"path": "Wrapping/Python/setup_install_paths.py",
"copies": "1",
"size": "3915",
"license": "bsd-3-clause",
"hash": 980881764341381500,
"line_mean": 27.5766423358,
"line_max": 74,
"alpha_frac": 0.5867177522,
"autogenerated": false,
"ratio": 4.090909090909091,
"conf... |
#! /bin/env python
"""
This script will return the paths that distutils will use for installing
a package. To use this script, execute it the same way that you would
execute setup.py, but instead of providing 'install' or 'build' as the
command, specify 'purelib' or 'platlib' and the corresponding path
will be printe... | {
"repo_name": "berendkleinhaneveld/VTK",
"path": "ThirdParty/xdmf2/vtkxdmf2/CMake/setup_install_paths.py",
"copies": "24",
"size": "3940",
"license": "bsd-3-clause",
"hash": -8407663144401989000,
"line_mean": 27.5507246377,
"line_max": 74,
"alpha_frac": 0.5837563452,
"autogenerated": false,
"rati... |
"""
This unwraps phase
author: Joshua Albert
albert@strw.leidenuniv.nl
"""
import numpy as np
def phase_unwrapp1d(theta,axis=None):
'''The difference between two timesteps is unaliased by assumption so theta_i+1 - theta_i < pi.
So Wrap(theta_i+1 - theta_i) is the real gradient and we can integrate them.
... | {
"repo_name": "Joshuaalbert/RadioAstronomyThings",
"path": "src/rathings/phase_unwrap.py",
"copies": "1",
"size": "1131",
"license": "apache-2.0",
"hash": -1653900466863701000,
"line_mean": 33.2727272727,
"line_max": 99,
"alpha_frac": 0.6251105217,
"autogenerated": false,
"ratio": 3.1680672268907... |
#!/bin/env python
'''
This was from an interview I did.
The Question
------------
> Given a set of characters, produce all combinations of subsets from
> the characters in the set including the empty set and the set itself.
>
> Examples:
>
> ab -> ('', a , b, ab)
> abc -> ('', a, b, c, ab, ac, bc, abc)
> abc... | {
"repo_name": "ianchesal/careercup.com",
"path": "otherstuff/combinations.py",
"copies": "1",
"size": "3278",
"license": "mit",
"hash": 3207789910523697000,
"line_mean": 27.2586206897,
"line_max": 97,
"alpha_frac": 0.6510067114,
"autogenerated": false,
"ratio": 3.251984126984127,
"config_test":... |
#!/bin/env python
'''
This was from an interview I did.
The Question
------------
> Implement a memcached class. Where the class takes a key/value pair
> for addition and can return a key for a value. It should have a limit
> on the key/value pairs it can store in the cache and an LRU algorithm
> for purging old val... | {
"repo_name": "ianchesal/careercup.com",
"path": "otherstuff/memcached.py",
"copies": "1",
"size": "4402",
"license": "mit",
"hash": 4176002845561716700,
"line_mean": 24.0113636364,
"line_max": 74,
"alpha_frac": 0.6565197637,
"autogenerated": false,
"ratio": 2.960322797579018,
"config_test": fa... |
#!/bin/env python
"""
Trivial example for using the Qubole SDK to run a Hadoop Streaming Command.
See: http://www.qubole.com/documentation/en/latest/quick-start-guide/running-hadoop-job.html
"""
from qds_sdk.qubole import Qubole
from qds_sdk.commands import HadoopCommand
import qds_sdk.exception
import sys
import t... | {
"repo_name": "tanishgupta1/qds-sdk-py",
"path": "example/mr_1.py",
"copies": "10",
"size": "1963",
"license": "apache-2.0",
"hash": -4814014100317574000,
"line_mean": 27.8676470588,
"line_max": 321,
"alpha_frac": 0.6413652573,
"autogenerated": false,
"ratio": 3.1011058451816744,
"config_test":... |
#!/bin/env python
################################################################################
# Trivial version of SimplePilot to be used with pilotWrapper
#
# The purpose of this version is to have a wrapper/pilot set
# as less verbose as possible, just for fast tests.
#
#######################################... | {
"repo_name": "RRCKI/pilot",
"path": "dataPilot.py",
"copies": "1",
"size": "34155",
"license": "apache-2.0",
"hash": -728788847277677200,
"line_mean": 31.2521246459,
"line_max": 168,
"alpha_frac": 0.5784511785,
"autogenerated": false,
"ratio": 3.8575784955952113,
"config_test": false,
"has_n... |
#!/bin/env python
# {
# "type": "FeatureCollection",
# "features": [
# {
# "type": "Feature",
# "id": 1,
# "properties": {
# "CASE_ENQUIRY_ID": 101000833162.0,
# "OPEN_DT": "05/03/2013 11:12:12 AM",
# "Location": "83-85 Cresthill Rd Brighton MA 02135",
# "LA... | {
"repo_name": "stuckeyr/sharkmap",
"path": "csv2geojson.py",
"copies": "1",
"size": "3009",
"license": "mit",
"hash": 8607031005462660000,
"line_mean": 34.4,
"line_max": 181,
"alpha_frac": 0.5320704553,
"autogenerated": false,
"ratio": 3.3029637760702526,
"config_test": false,
"has_no_keyword... |
#!/bin/env python
"""
Usage:
convert.py <input> <output> (--xml | --midi)
Arguments:
<input> Path to the **kern directory
<output> Path to the xml/midi output directory
Options:
-h --help Show this screen.
--xml Convert from **kern to xml
--midi Convert from **kern to midi... | {
"repo_name": "freakimkaefig/musicjson-evaluation",
"path": "bin/convert.py",
"copies": "1",
"size": "2144",
"license": "mit",
"hash": 1996157956683979000,
"line_mean": 33.0317460317,
"line_max": 78,
"alpha_frac": 0.5527052239,
"autogenerated": false,
"ratio": 3.754816112084063,
"config_test": ... |
#!/bin/env python
"""
Usage:
similarity.py <algorithm> <collection> <queries> <output> [-c <cutoff>]
Arguments:
<algorithm> The algorithm used to calculate similarity:
- 2010-domain, 2010-pitchderiv, 2010-shape
- 2011-shape, 2011-pitch, 2011-time
- 2012-shapeh, ... | {
"repo_name": "freakimkaefig/musicjson-evaluation",
"path": "bin/similarity.py",
"copies": "1",
"size": "1976",
"license": "mit",
"hash": 2423597077106322000,
"line_mean": 36.2830188679,
"line_max": 82,
"alpha_frac": 0.5905870445,
"autogenerated": false,
"ratio": 3.8146718146718146,
"config_tes... |
#!/bin/env python
"""
Verify HTCondor-CE configuration before service startup
"""
import re
import sys
# Verify that the HTCondor Python bindings are in the PYTHONPATH
try:
import classad
import htcondor
except ImportError:
sys.exit("ERROR: Could not load HTCondor Python bindings. " + \
"Ple... | {
"repo_name": "bbockelm/htcondor-ce",
"path": "src/verify_ce_config.py",
"copies": "1",
"size": "3196",
"license": "apache-2.0",
"hash": 2040590630730961000,
"line_mean": 48.1692307692,
"line_max": 118,
"alpha_frac": 0.6836670839,
"autogenerated": false,
"ratio": 3.6031567080045095,
"config_tes... |
__version__ = '''0.1.09'''
__sub_version__ = '''20120908235504'''
__copyright__ = '''(c) Alex A. Naanou 2011'''
#-----------------------------------------------------------------------
import shutil, sys, os, os.path
from itertools import chain, imap, islice
import json
from pli.functional import curry
from pli.lo... | {
"repo_name": "flynx/XMPGen",
"path": "xmpgen.py",
"copies": "1",
"size": "28093",
"license": "bsd-3-clause",
"hash": -7533120956390193000,
"line_mean": 29.2400430571,
"line_max": 134,
"alpha_frac": 0.5974442032,
"autogenerated": false,
"ratio": 3.364431137724551,
"config_test": true,
"has_no... |
#!/bin/env python
"""
WSGI handler for mogrifying images.
"""
import os
from hashlib import sha1
from contextlib import contextmanager
from .core import Transmogrify
from .network import Http404, do_404, handle_purge, do_redirect, get_path
@contextmanager
def lock_file(lock):
open(lock, "w")
try:
y... | {
"repo_name": "callowayproject/Transmogrify",
"path": "transmogrify/wsgi.py",
"copies": "1",
"size": "1895",
"license": "apache-2.0",
"hash": -3604724004959139300,
"line_mean": 29.0793650794,
"line_max": 90,
"alpha_frac": 0.654353562,
"autogenerated": false,
"ratio": 3.496309963099631,
"config_... |
#!/bin/env python
#
# Objects to be used with AutoFillTreeProducer
#
# the variable declaration contains both the booking information and a function to fill the variable
#
# TODO: more documentation needed here!
class NTupleVariable:
def __init__(self, name, function, type=float, help="", default=-99, mcOnly=False... | {
"repo_name": "rovere/utilities",
"path": "autovars.py",
"copies": "1",
"size": "6811",
"license": "mit",
"hash": -6672482308302339000,
"line_mean": 46.6293706294,
"line_max": 151,
"alpha_frac": 0.6093084716,
"autogenerated": false,
"ratio": 3.558516196447231,
"config_test": false,
"has_no_ke... |
#!/bin/env python
# OpenSceneGraph example program "osgpdf"
# Translated from file 'osgpdf.cpp'
import sys
from osgpypp import osg
from osgpypp import osgViewer
from osgpypp import osgWidget
def main(argv):
arguments = osg.ArgumentParser(argv)
viewer = osgViewer.Viewer(arguments)
hints = osgWidget.Geome... | {
"repo_name": "JaneliaSciComp/osgpyplusplus",
"path": "examples/debugging2/osgpdf.py",
"copies": "1",
"size": "1067",
"license": "bsd-3-clause",
"hash": 4240630253959021600,
"line_mean": 32.34375,
"line_max": 100,
"alpha_frac": 0.5773195876,
"autogenerated": false,
"ratio": 3.3980891719745223,
... |
#!/bin/env python
"""opt2cli.
Convert options to a valid command with respective options.
Usage:
opt2cli.py [ --info | --sinfo | --cinfo | --xinfo ]
opt2cli.py [ --resize=<WxH> ] [ --lossy=<STRENGTH> ] [ --optimize=<LEVEL> ] [ --interlace ]
opt2cli.py [ --resize-fit=<WxH> ] [ --lossy=<STRENGTH> ] [ --opti... | {
"repo_name": "dylanninin/giflossy",
"path": "opt2cli.py",
"copies": "1",
"size": "2393",
"license": "mit",
"hash": -2738416051558631000,
"line_mean": 39.5593220339,
"line_max": 106,
"alpha_frac": 0.5206853322,
"autogenerated": false,
"ratio": 3.3052486187845305,
"config_test": false,
"has_no... |
# Orbital Comics new releases email tool
# Author: Bradley Abrahams
# Available on GitHub: https://github.com/mrkipling/orbital-comics-releases
#
# Requirements: BeautifulSoup (pip install beautifulsoup4)
#
# This script scrapes the new comic releases from the Orbital comics website
# (http://www.orbitalcomics.com) an... | {
"repo_name": "mrkipling/orbital-comics-releases",
"path": "orbital.py",
"copies": "1",
"size": "6396",
"license": "mit",
"hash": -5198389198434618000,
"line_mean": 30.3529411765,
"line_max": 83,
"alpha_frac": 0.626641651,
"autogenerated": false,
"ratio": 3.4817637452367993,
"config_test": fals... |
"""
output.py
Functions for outputing analysis results
"""
from . import distances
from .Peaks import Peak
import io
import tempfile
#######################################################################
# Constants
#######################################################################
MULTI_LINE=0
SINGLE_LINE=1
... | {
"repo_name": "fls-bioinformatics-core/RnaChipIntegrator",
"path": "rnachipintegrator/output.py",
"copies": "1",
"size": "25921",
"license": "artistic-2.0",
"hash": -6214362041738436000,
"line_mean": 35.9771754636,
"line_max": 132,
"alpha_frac": 0.5392924656,
"autogenerated": false,
"ratio": 4.65... |
#!/bin/env python
"""Package responsible for browsing the content of a DQM file produced
with the DQMIO I/O framework of CMSSW. The internal format of the
DQMIO file is the following: it has one TTree for each kind of
object that can be handled by the DQM Framework. Each entry in these
TTree has a pointer to t... | {
"repo_name": "rovere/utilities",
"path": "DQMIO.py",
"copies": "1",
"size": "5427",
"license": "mit",
"hash": 3810247794597166000,
"line_mean": 40.1136363636,
"line_max": 98,
"alpha_frac": 0.556292611,
"autogenerated": false,
"ratio": 3.8681397006414824,
"config_test": false,
"has_no_keyword... |
#!/bin/env python
# Paginate a text file, adding a header and footer
import sys, time, string
# If no arguments were given, print a helpful message
if len(sys.argv)!=2:
print 'Usage: pyprint filename'
sys.exit(0)
class PrinterFormatter:
def __init__(self, filename, page_len=58):
# Save the time of cr... | {
"repo_name": "chrisjowen/nLess",
"path": "lib/PEG_GrammarExplorer/PEG_GrammarExplorer/PegSamples/python_2_5_2/input/simple_pyprint.py",
"copies": "6",
"size": "2082",
"license": "apache-2.0",
"hash": -8381739777560471000,
"line_mean": 25.6923076923,
"line_max": 69,
"alpha_frac": 0.6954851105,
"aut... |
#!/bin/env python
"""
partial sort of a file. Useful when some columns are known to be sorted, but
within a group defined by those column, some other columns are out of order.
e.g., if you have a bed file and you know it's already sorted by (or even
just grouped by) chromosome, you can sort by start, stop w... | {
"repo_name": "shashidhar22/bio-playground",
"path": "utils/partsort.py",
"copies": "2",
"size": "4025",
"license": "mit",
"hash": 8621851458085085000,
"line_mean": 39.25,
"line_max": 91,
"alpha_frac": 0.6236024845,
"autogenerated": false,
"ratio": 3.8813886210221793,
"config_test": false,
"h... |
#!/bin/env python
"""path2opt.
Convert a valid path of a URI to options of any command.
Usage:
path2opt.py [-h | --path=<p>]
Options:
-p --path=<p> Input path [default: /optimize/3/lossy/80/interlace].
-h --help Show this screen.
Example:
path2opt.py -p /optimize/3/lossy/80/interlace
pat... | {
"repo_name": "dylanninin/giflossy",
"path": "path2opt.py",
"copies": "1",
"size": "1425",
"license": "mit",
"hash": -3172009855788242400,
"line_mean": 27.5,
"line_max": 73,
"alpha_frac": 0.5845614035,
"autogenerated": false,
"ratio": 2.9022403258655802,
"config_test": false,
"has_no_keywords... |
#! /bin/env python
#
# PDR data tools.
#
import argparse
# pylint: disable=superfluous-parens
# pylint: disable=broad-except
import logging
import math
import os
import sys
from werkzeug.exceptions import NotFound
from rdr_service.cloud_utils.gcp_cloud_tasks import GCPCloudTask
from rdr_service.dao.bigquery_sync_dao... | {
"repo_name": "all-of-us/raw-data-repository",
"path": "rdr_service/tools/tool_libs/resource_tool.py",
"copies": "1",
"size": "40942",
"license": "bsd-3-clause",
"hash": -1268279711113741600,
"line_mean": 39.3369458128,
"line_max": 119,
"alpha_frac": 0.5685848273,
"autogenerated": false,
"ratio":... |
"""
Peaks.py
Classes for handling peak data
"""
import logging
import io
from .utils import make_errline
class PeakSet(object):
"""Class for storing a set of peaks
ChIP-seq data consists of ChIP peak information, each of which are
stored individually in Peak objects. This class is a container for
a... | {
"repo_name": "fls-bioinformatics-core/RnaChipIntegrator",
"path": "rnachipintegrator/Peaks.py",
"copies": "1",
"size": "12290",
"license": "artistic-2.0",
"hash": -2186935892800950500,
"line_mean": 34.8309037901,
"line_max": 80,
"alpha_frac": 0.5386493084,
"autogenerated": false,
"ratio": 4.6447... |
#!/bin/env python
"""
Perform global alignment between all WGAC pairs and find single base mismatches
between each pair.
Approach:
1. Create a sequence file containing all sequences involved in WGAC pairwise
alignments. The first sequence in any alignment with "+" in the strand column
will be assigned the standard ge... | {
"repo_name": "huddlej/suns",
"path": "find_suns.py",
"copies": "1",
"size": "14658",
"license": "mit",
"hash": 1895762621277203000,
"line_mean": 37.5736842105,
"line_max": 144,
"alpha_frac": 0.6384227043,
"autogenerated": false,
"ratio": 3.8152004164497657,
"config_test": false,
"has_no_keyw... |
""" pipeline_quickstart.py
-One line description of the pipeline.
=============================================================================
Authors:
Goal of the pipeline:
This program implements a <<type of pipeline e.g. QC, association testing, etc>> workflow
for human GWAS analysis using <<name_of_pro... | {
"repo_name": "magosil86/witsGWAS",
"path": "pipeline_quickstart.py",
"copies": "1",
"size": "3976",
"license": "mit",
"hash": -1361286304853844500,
"line_mean": 24.3248407643,
"line_max": 129,
"alpha_frac": 0.6780684105,
"autogenerated": false,
"ratio": 3.736842105263158,
"config_test": false,... |
#!/bin/env python
#
# Plot dimuon mass distribution for SWC HEP 2015
#
from ROOT import TFile, TH1D, TLorentzVector
from math import cos, sin, tan, sqrt, copysign
class Particle:
def __init__(self, energy, qpt, phi, theta):
self.q = int(copysign(1,qpt)) # get charge (+1 or -1) from sign of pt
pt = ... | {
"repo_name": "benwaugh/dimuon",
"path": "dimuon.py",
"copies": "1",
"size": "1865",
"license": "mit",
"hash": 471605242505566900,
"line_mean": 31.1551724138,
"line_max": 102,
"alpha_frac": 0.5957104558,
"autogenerated": false,
"ratio": 3.1135225375626043,
"config_test": false,
"has_no_keywor... |
#!/bin/env python
print("------------------------ running flock tests")
# TODO actual tests, rather than smoketest
import numpy as np
import matplotlib.pyplot as plt
from scipy.ndimage import filters
import dig
import dig.datasets as ds
from dig import viz
import flock # python impl that works
import feature as fea... | {
"repo_name": "dblalock/dig",
"path": "tests/test_flock.py",
"copies": "1",
"size": "7683",
"license": "mit",
"hash": 2205119480744956000,
"line_mean": 26.2446808511,
"line_max": 89,
"alpha_frac": 0.6662761942,
"autogenerated": false,
"ratio": 2.6723478260869564,
"config_test": false,
"has_no... |
#!/bin/env python
print("------------------------ running tree tests")
import time
import numpy as np
import dig
def all_eq(x, y):
if (len(x) == 0) and (len(y) == 0):
return True
return np.max(np.abs(x - y)) < .001
def main():
# N = 100
N = 100 * 1000
# D = 10
D = 100
P = 8
r2 = 1. * D
# ---------------... | {
"repo_name": "dblalock/dig",
"path": "tests/test_tree.py",
"copies": "1",
"size": "1796",
"license": "mit",
"hash": 8514521664022921000,
"line_mean": 22.3246753247,
"line_max": 58,
"alpha_frac": 0.5974387528,
"autogenerated": false,
"ratio": 2.633431085043988,
"config_test": false,
"has_no_k... |
#!/bin/env python
"""
Probability forecasts
=====================
This example script shows how to forecast the probability of exceeding an
intensity threshold.
The method is based on the local Lagrangian approach described in Germann and
Zawadzki (2004).
"""
import matplotlib.pyplot as plt
import numpy as np
from ... | {
"repo_name": "pySTEPS/pysteps",
"path": "examples/probability_forecast.py",
"copies": "1",
"size": "3850",
"license": "bsd-3-clause",
"hash": -1872306483971070000,
"line_mean": 28.6153846154,
"line_max": 81,
"alpha_frac": 0.6280519481,
"autogenerated": false,
"ratio": 3.327571305099395,
"confi... |
"""
Program to manage and run ATS regression tests.
With inspiration, and in some places just stolen, from Ben Andre's
PFloTran regression test suite.
Author: Ethan Coon (ecoon@lanl.gov)
"""
from __future__ import print_function
from __future__ import division
import argparse
import sys,os
import textwrap
import ti... | {
"repo_name": "amanzi/ats-dev",
"path": "tools/testing/regression_tests.py",
"copies": "2",
"size": "7604",
"license": "bsd-3-clause",
"hash": -1720398483654724400,
"line_mean": 36.6435643564,
"line_max": 84,
"alpha_frac": 0.5453708574,
"autogenerated": false,
"ratio": 4.577965081276339,
"confi... |
#!/bin/env python
"""
prompt - multiline prompt
"""
# Simple embedded multiline python interpreter built around raw_input().
# Interrupts the control flow at any given location with 'exec prompt'
# and gives control to the user.
# Allways runs in the current scope and can even be started from the
# pdb prompt in debu... | {
"repo_name": "ActiveState/code",
"path": "recipes/Python/285214_prompt__simple_multiline_interactive/recipe-285214.py",
"copies": "1",
"size": "2843",
"license": "mit",
"hash": -2217609323322992400,
"line_mean": 29.902173913,
"line_max": 85,
"alpha_frac": 0.4794231446,
"autogenerated": false,
"r... |
#!/bin/env python
"""
ProofPDF.py. A wrapper for the fontPDF.py module. This script verifies
the existence of the specified font files, creates a font class object
with the call-backs required by fontPDF, and translates the command line
options to arguments for the fontPDF module; the latter produces a proof
file using... | {
"repo_name": "shannpersand/cooper-type",
"path": "_resources/FDK Adobe/Tools/SharedData/FDKScripts/ProofPDF.py",
"copies": "1",
"size": "37478",
"license": "cc0-1.0",
"hash": 1639299315205132800,
"line_mean": 36.894843276,
"line_max": 174,
"alpha_frac": 0.6865361012,
"autogenerated": false,
"rat... |
# ratorade: Everyone's a critic
#
# Copyright (c) 2012 Erik Erlandson
#
# Author: Erik Erlandson <erikerlandson@yahoo.com>
#
# 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://ww... | {
"repo_name": "erikerlandson/ratorade",
"path": "bin/dbutils.py",
"copies": "1",
"size": "2589",
"license": "apache-2.0",
"hash": -7778207284466107000,
"line_mean": 30.962962963,
"line_max": 104,
"alpha_frac": 0.6396292005,
"autogenerated": false,
"ratio": 3.302295918367347,
"config_test": fals... |
#!/bin/env python
"""
Reads the status of the checks from a file and
writes it back to the file asynchronously.
Used to keep state across restarts of uptester.
"""
from threading import Thread, Timer
from datetime import timedelta
from six.moves import queue
import yaml
import traceback
import copy
import time
STATE... | {
"repo_name": "NoUsername/uptester",
"path": "persistence.py",
"copies": "1",
"size": "2219",
"license": "mit",
"hash": -8852416254156797000,
"line_mean": 23.9325842697,
"line_max": 69,
"alpha_frac": 0.7048219919,
"autogenerated": false,
"ratio": 3.1928057553956832,
"config_test": false,
"has... |
# Read the CMU pronounciation dictionary, count syllables (throwing away
# phoneme and stress information), and pickle the result.
#
#
# Copyright (c) 2009, Jonathan Feinberg <jdf@pobox.com>
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without modification,
# are permitted prov... | {
"repo_name": "jdf/haikufinder",
"path": "haikufinder/cmudict/PickleCMUDict.py",
"copies": "2",
"size": "2104",
"license": "bsd-3-clause",
"hash": -6878541221879249000,
"line_mean": 45.7777777778,
"line_max": 86,
"alpha_frac": 0.7485741445,
"autogenerated": false,
"ratio": 3.969811320754717,
"c... |
#!/bin/env python
"""
Reduces the number of NN bases using the information from out.NN_analysis.
INPUT:
* in.const.NN
* in.params.NN
* out.NN_analysis
OUTPUT:
* in.const.NN.new
* in.params.NN.new
"""
from __future__ import print_function
import optparse
import NN_io
incnst="in.const.NN"
inprms="in.params.... | {
"repo_name": "ryokbys/nap",
"path": "nappy/nn/reduce_NN_bases.py",
"copies": "1",
"size": "2964",
"license": "mit",
"hash": -9157559780977068000,
"line_mean": 27.2285714286,
"line_max": 83,
"alpha_frac": 0.5425101215,
"autogenerated": false,
"ratio": 2.809478672985782,
"config_test": false,
... |
#!/bin/env python
"""
remote storage web service authentication (oauth2) module.
should implement https://tools.ietf.org/id/draft-dejong-remotestorage-00.txt
and [OAUTH2]
To be run behind an nginx server, and supervised by daemontools."""
from flup.server.fcgi import WSGIServer
import datetime, time, os, sys, re
impo... | {
"repo_name": "relet/python-remotestorage",
"path": "auth.py",
"copies": "1",
"size": "7388",
"license": "mit",
"hash": 9047631065091692000,
"line_mean": 32.8899082569,
"line_max": 180,
"alpha_frac": 0.5940714672,
"autogenerated": false,
"ratio": 3.4669169404035665,
"config_test": false,
"has... |
#!/bin/env python
"""
remote storage web service.
should implement https://tools.ietf.org/id/draft-dejong-remotestorage-00.txt
"""
from flup.server.fcgi import WSGIServer
import datetime, time, os, sys, re
import optparse
import urllib
import traceback
import simplejson as json
from dulwich.repo import Repo
from dulw... | {
"repo_name": "relet/python-remotestorage",
"path": "rs.py",
"copies": "1",
"size": "11030",
"license": "mit",
"hash": 847551229076206800,
"line_mean": 36.9037800687,
"line_max": 195,
"alpha_frac": 0.5967361741,
"autogenerated": false,
"ratio": 3.7568119891008176,
"config_test": false,
"has_n... |
#!/bin/env python
""" remove all undo files in ~/.vim/undo/ where corresponding
file does not exist anymore """
import os
UNDO_PATH = os.path.join(os.environ['HOME'], '.vim/undo/')
def lsfile(path=None, filetype='all'):
""" list files in path. Default is search for both file and dir in cwd """
if path is None:
... | {
"repo_name": "NearHuscarl/dotfiles",
"path": "script/python/clean_vim_undo.py",
"copies": "1",
"size": "1436",
"license": "bsd-3-clause",
"hash": -6160396974798208000,
"line_mean": 23.3389830508,
"line_max": 88,
"alpha_frac": 0.6706128134,
"autogenerated": false,
"ratio": 2.7992202729044835,
"... |
#! /bin/env python
#
# Remove an approved deceased report from a given participant
#
import argparse
import logging
import sys
from rdr_service.dao.api_user_dao import ApiUserDao
from rdr_service.model.api_user import ApiUser
from rdr_service.model.deceased_report import DeceasedReport
from rdr_service.model.particip... | {
"repo_name": "all-of-us/raw-data-repository",
"path": "rdr_service/tools/tool_libs/resurrect.py",
"copies": "1",
"size": "4412",
"license": "bsd-3-clause",
"hash": -4104451434222632000,
"line_mean": 37.0344827586,
"line_max": 114,
"alpha_frac": 0.6797370807,
"autogenerated": false,
"ratio": 3.80... |
#!/bin/env python
# reports variants only in a gene panel using csv report on rare variants as input
import csv
import sys
import re
original_report = sys.argv[1]
panel_report = original_report.replace("csv","panel.csv")
gene_panel_file_name = sys.argv[2]
with open(gene_panel_file_name,'rb') as f_gene_panel:
ge... | {
"repo_name": "naumenko-sa/cre",
"path": "cre.filter_by_ensembl_gene_id.py",
"copies": "1",
"size": "1165",
"license": "mit",
"hash": 7586148893173567000,
"line_mean": 27.4146341463,
"line_max": 82,
"alpha_frac": 0.6635193133,
"autogenerated": false,
"ratio": 3.0259740259740258,
"config_test": ... |
#!/bin/env python
"""
Report the positions of all gaps (N bases) in the given FASTA sequence(s).
"""
import argparse
from Bio import SeqIO
def _range(n):
# range in python2 takes too much memory when iterating over a large set of integers. range() in python3 does what
# xrange() did in python2, and xrange() i... | {
"repo_name": "huddlej/snake-cnv",
"path": "scripts/find_fasta_gaps.py",
"copies": "1",
"size": "1312",
"license": "mit",
"hash": 6778322324386184000,
"line_mean": 27.5217391304,
"line_max": 118,
"alpha_frac": 0.5823170732,
"autogenerated": false,
"ratio": 3.71671388101983,
"config_test": false... |
#! /bin/env python
#
# Routine to daemonize a process on unix
#
#
DAEMON_HOME = '/'
class NullDevice:
def write(self, s):
pass
def daemonize(homeDir = DAEMON_HOME):
import os
import sys
if os.fork() != 0: # Parent
os._exit(0) # Kill parent
... | {
"repo_name": "MultiRRomero/manhattan-map",
"path": "lib/geopy-1.4.0-py2.6.egg/test/daemon.py",
"copies": "2",
"size": "2243",
"license": "mit",
"hash": -15016620144977624,
"line_mean": 24.7816091954,
"line_max": 81,
"alpha_frac": 0.5149353544,
"autogenerated": false,
"ratio": 3.9699115044247786,... |
#! /bin/env python
#
# Routine to daemonize a process on unix
#
#
DAEMON_HOME = '/'
class NullDevice(object):
def write(self, s):
pass
def daemonize(homeDir=DAEMON_HOME):
import os
import sys
if os.fork() != 0: # Parent
os._exit(0) # Kill parent
os.chdir(homeDir) # Detach... | {
"repo_name": "RDXT/geopy",
"path": "test/daemon.py",
"copies": "11",
"size": "1926",
"license": "mit",
"hash": -231207196610979070,
"line_mean": 20.6404494382,
"line_max": 71,
"alpha_frac": 0.6053997923,
"autogenerated": false,
"ratio": 3.4148936170212765,
"config_test": false,
"has_no_keywo... |
#!/bin/env python
#
# Script to help, eg, recount crimes by ward based on police district crime numbers and estimates
# of how much of each police station's crimes should be attributed to ward.
#
# $ head data/contact-crimes.csv
# PoliceStation,year,contact,property
# albertinia,2004,159,93
# albertinia,2005,110,59
# a... | {
"repo_name": "Code4SA/wazimap-za",
"path": "bin/recompose.py",
"copies": "1",
"size": "2601",
"license": "mit",
"hash": -6748515687946635000,
"line_mean": 38.4090909091,
"line_max": 189,
"alpha_frac": 0.7212610534,
"autogenerated": false,
"ratio": 3.126201923076923,
"config_test": false,
"ha... |
#!/bin/env python
"""
Script to load CSV dump of data.
Run from django shell with "%run".
Expects the followin columns:
1. date
2. description
3. category
4. amount
5. accountname
"""
import argparse
import pandas as pd
from ctrack.models import Transaction, Category, Account
def load_data(dat... | {
"repo_name": "dmkent/cattrack",
"path": "load_data.py",
"copies": "1",
"size": "1399",
"license": "mit",
"hash": 1532825555624470800,
"line_mean": 23.9821428571,
"line_max": 70,
"alpha_frac": 0.5718370264,
"autogenerated": false,
"ratio": 4.008595988538682,
"config_test": false,
"has_no_keyw... |
#!/bin/env python
"""SegmentColons
Segment the colons from a csv database
-d file.csv specifies the file
-m (optional) mrn to process
"""
import sys
import getopt
import csv
import os
def process(db, mrn, study, series):
if os.getenv("CTC_IMG_DIR") == None:
return False
if os.getenv("CTC_DIR") == N... | {
"repo_name": "clwyatt/CTC",
"path": "Scripts/SegmentColons.py",
"copies": "1",
"size": "2347",
"license": "bsd-3-clause",
"hash": -574789231816492500,
"line_mean": 25.3707865169,
"line_max": 94,
"alpha_frac": 0.4755006391,
"autogenerated": false,
"ratio": 3.1931972789115646,
"config_test": fal... |
#!/bin/env python
# Seperate evaluation script
import sys
import csv
import requests
from sklearn.metrics import classification_report, accuracy_score, confusion_matrix
from collections import Counter
tag_dict = {}
inv_tag_dict = {}
all_tags_ref = []
all_tags_resp = []
wrong_dict = Counter()
documents_received = 0
... | {
"repo_name": "Sentimentron/Dracula",
"path": "eval.py",
"copies": "1",
"size": "3386",
"license": "bsd-3-clause",
"hash": 4478153556068508700,
"line_mean": 30.9433962264,
"line_max": 121,
"alpha_frac": 0.5652687537,
"autogenerated": false,
"ratio": 3.5642105263157893,
"config_test": false,
"... |
#! /bin/env python
#
# Simple program to query table schemas from Curation EHR BigQuery tables and
# output SQL Create and scheduled query statements for use in PDR BigQuery.
#
import argparse
import json
import logging
import sys
from rdr_service.model.bq_base import BQException
from rdr_service.services.gcp_utils i... | {
"repo_name": "all-of-us/raw-data-repository",
"path": "rdr_service/tools/tool_libs/curation_ehr.py",
"copies": "1",
"size": "7997",
"license": "bsd-3-clause",
"hash": -3542783060413017600,
"line_mean": 30.4842519685,
"line_max": 119,
"alpha_frac": 0.5953482556,
"autogenerated": false,
"ratio": 3... |
#! /bin/env python
#
# Simply verify the environment is valid for running the client apps.
#
import argparse
# pylint: disable=superfluous-parens
# pylint: disable=broad-except
import importlib
import logging
import sys
from rdr_service.services.gcp_utils import gcp_get_app_access_token, gcp_get_app_host_name
from r... | {
"repo_name": "all-of-us/raw-data-repository",
"path": "rdr_service/tools/tool_libs/verify_environment.py",
"copies": "1",
"size": "4011",
"license": "bsd-3-clause",
"hash": -6443714973209592000,
"line_mean": 33.2820512821,
"line_max": 116,
"alpha_frac": 0.6153079033,
"autogenerated": false,
"rat... |
#!/bin/env python
"""
Smear 1D data of equidistance intervals with Gaussians.
Usage:
gaussian_smear.py [options] INFILE
Options:
-h, --help Show this help messange and exit.
-s, --sigma=SIGMA
Width of Gaussian (sigma) in the unit of dx. [default: 2.0]
-x=<x> Position of x data (s... | {
"repo_name": "ryokbys/nap",
"path": "nappy/gaussian_smear.py",
"copies": "1",
"size": "2297",
"license": "mit",
"hash": 1437566471525782800,
"line_mean": 25.4022988506,
"line_max": 75,
"alpha_frac": 0.5537657815,
"autogenerated": false,
"ratio": 2.853416149068323,
"config_test": false,
"has_... |
#/bin/env python
"""Smooting tools."""
import scipy as S
import numpy as N
import pylab as P
# generic functions for the prediction
def B_matrix_from_A(A, W):
"""
Compute the smooting matrix.
B matrix is the smoothing matrix, I.E Y(reconstructed)=B Y(predicted)
A matrix is such that AX=Y
W is... | {
"repo_name": "nicolaschotard/snspin",
"path": "snspin/spectrum/smoothing.py",
"copies": "1",
"size": "19213",
"license": "mit",
"hash": 8930623653542558000,
"line_mean": 32.4139130435,
"line_max": 104,
"alpha_frac": 0.5321917452,
"autogenerated": false,
"ratio": 3.039550704002531,
"config_test... |
#!/bin/env python
# :
# : spamdrill.py
# : Written by Les Cordell
# :
# : This script will run through the /proc directory,
# : it will open up any directory matching a number,
# : it will then simply display requested output
#######################
_VERSION = "0.0.1"
_AUTHOR = "Les Cordell"
# : Imports : #
import sys... | {
"repo_name": "nonapod/spamdriller",
"path": "spamdriller.py",
"copies": "1",
"size": "10562",
"license": "mit",
"hash": -6289881892866119000,
"line_mean": 34.4429530201,
"line_max": 126,
"alpha_frac": 0.6433440636,
"autogenerated": false,
"ratio": 3.3392349035725575,
"config_test": false,
"h... |
#! /bin/env python
# Standard library imports
import os.path
import wave
import numpy
# Enthought library imports
from traits.util.resource import find_resource
def wav_to_numeric( fname, max_frames=-1 ):
f = wave.open( fname, 'rb' )
sampleRate = f.getframerate()
channels = f.getnchannels()
if max_frames < ... | {
"repo_name": "tommy-u/chaco",
"path": "examples/demo/zoomed_plot/wav_to_numeric.py",
"copies": "3",
"size": "1111",
"license": "bsd-3-clause",
"hash": 8361380810914074000,
"line_mean": 22.6382978723,
"line_max": 89,
"alpha_frac": 0.6381638164,
"autogenerated": false,
"ratio": 3.15625,
"config_... |
#!/bin/env python
# standard library
import os
import sys
import argparse
import ast
# dependencies
import numpy as np
from skimage import img_as_ubyte
import toolz as tz
from sklearn import neighbors
from sklearn.preprocessing import StandardScaler
# local imports
from . import io
from . import screens
from .screen... | {
"repo_name": "Don86/microscopium",
"path": "microscopium/main.py",
"copies": "1",
"size": "13311",
"license": "bsd-3-clause",
"hash": 3238050387526608000,
"line_mean": 43.37,
"line_max": 80,
"alpha_frac": 0.5793704455,
"autogenerated": false,
"ratio": 3.8875584112149535,
"config_test": false,
... |
#!/bin/env python
"""
STEPS nowcast
=============
This tutorial shows how to compute and plot an ensemble nowcast using Swiss
radar data.
"""
import matplotlib.pyplot as plt
import numpy as np
from datetime import datetime
from pprint import pprint
from pysteps import io, nowcasts, rcparams
from pysteps.motion.luca... | {
"repo_name": "pySTEPS/pysteps",
"path": "examples/plot_steps_nowcast.py",
"copies": "1",
"size": "6248",
"license": "bsd-3-clause",
"hash": -7450433426838214000,
"line_mean": 30.7157360406,
"line_max": 86,
"alpha_frac": 0.6461267606,
"autogenerated": false,
"ratio": 3.5219842164599773,
"config... |
#!/bin/env python
# Take a directory of zipped or unzipped files
# and generate a set of sgRNAs
import sys, string, argparse
import gzip, re
import MySQLdb
import Config
import Database
from os import listdir
from os.path import isfile, join
from classes import FastaParser
DB_COMMIT_COUNT = 25000
fileFormats = ['F... | {
"repo_name": "BioGRID/BioGRID-sgRNACut",
"path": "Cut.py",
"copies": "1",
"size": "3510",
"license": "mit",
"hash": 3052780419667013000,
"line_mean": 34.11,
"line_max": 291,
"alpha_frac": 0.6655270655,
"autogenerated": false,
"ratio": 3.2025547445255476,
"config_test": false,
"has_no_keyword... |
#!/bin/env python
"""Take the ZINC subset here and make a smaller subset of it for testing purposes."""
from openeye.oechem import *
nmols = 500 #Number of molecules to retain out of full ~7500
# Currently the above are taken as the first 500. We could also take randomly.
# Read set with tripos types, write subse... | {
"repo_name": "open-forcefield-group/smarty",
"path": "examples/parm@frosst/make_subset.py",
"copies": "1",
"size": "1096",
"license": "mit",
"hash": 3742177406985493000,
"line_mean": 31.2352941176,
"line_max": 87,
"alpha_frac": 0.7408759124,
"autogenerated": false,
"ratio": 2.8030690537084397,
... |
#! /bin/env python
#
# Template for RDR tool python program.
#
import argparse
import json
import logging
import os
import sys
from sqlalchemy.orm.attributes import flag_modified
from rdr_service.dao.physical_measurements_dao import PhysicalMeasurementsDao
from rdr_service.model.measurements import PhysicalMeasuremen... | {
"repo_name": "all-of-us/raw-data-repository",
"path": "rdr_service/tools/tool_libs/fast_pm_fix.py",
"copies": "1",
"size": "8343",
"license": "bsd-3-clause",
"hash": -5195233977390604000,
"line_mean": 32.372,
"line_max": 116,
"alpha_frac": 0.5922330097,
"autogenerated": false,
"ratio": 4.4401277... |
#! /bin/env python
#
# Template for RDR tool python program.
#
import argparse
from datetime import datetime
# pylint: disable=superfluous-parens
# pylint: disable=broad-except
import logging
import os
import sys
from rdr_service.services.system_utils import setup_logging, setup_i18n, which, run_external_program
fro... | {
"repo_name": "all-of-us/raw-data-repository",
"path": "rdr_service/tools/tool_libs/alembic.py",
"copies": "1",
"size": "3949",
"license": "bsd-3-clause",
"hash": -1630291568612204800,
"line_mean": 33.6403508772,
"line_max": 117,
"alpha_frac": 0.6323119777,
"autogenerated": false,
"ratio": 3.6975... |
#! /bin/env python
#
# Template for RDR tool python program.
#
import argparse
# pylint: disable=superfluous-parens
# pylint: disable=broad-except
import csv
import logging
import os
import sys
from collections import namedtuple
import dateutil
from rdr_service.dao.participant_dao import ParticipantDao
from rdr_ser... | {
"repo_name": "all-of-us/raw-data-repository",
"path": "rdr_service/tools/tool_libs/dup_participant_fix.py",
"copies": "1",
"size": "19732",
"license": "bsd-3-clause",
"hash": 6815669460325187000,
"line_mean": 42.8488888889,
"line_max": 118,
"alpha_frac": 0.5864078654,
"autogenerated": false,
"ra... |
#! /bin/env python
#
# Template for RDR tool python program.
#
import argparse
# pylint: disable=superfluous-parens
# pylint: disable=broad-except
import logging
import signal
import sys
import time
from rdr_service.services.gcp_utils import gcp_get_app_access_token, gcp_get_iam_service_key_info
from rdr_service.ser... | {
"repo_name": "all-of-us/raw-data-repository",
"path": "rdr_service/tools/tool_libs/oauth_token.py",
"copies": "1",
"size": "3099",
"license": "bsd-3-clause",
"hash": 1613517481877731800,
"line_mean": 29.99,
"line_max": 116,
"alpha_frac": 0.6640851888,
"autogenerated": false,
"ratio": 3.582658959... |
#! /bin/env python
#
# Template for RDR tool python program.
#
import argparse
# pylint: disable=superfluous-parens
# pylint: disable=broad-except
import logging
import sys
import textwrap
from rdr_service.services.system_utils import setup_logging, setup_i18n, make_api_request
from rdr_service.tools.tool_libs impor... | {
"repo_name": "all-of-us/raw-data-repository",
"path": "rdr_service/tools/tool_libs/mysql_utils.py",
"copies": "1",
"size": "5747",
"license": "bsd-3-clause",
"hash": 2627204137358188000,
"line_mean": 37.3133333333,
"line_max": 117,
"alpha_frac": 0.6013572299,
"autogenerated": false,
"ratio": 3.9... |
#! /bin/env python
#
# Template for RDR tool python program.
#
import argparse
# pylint: disable=superfluous-parens
# pylint: disable=broad-except
import logging
import sys
from rdr_service.services.system_utils import setup_logging, setup_i18n
from rdr_service.tools.tool_libs import GCPProcessContext
_logger = log... | {
"repo_name": "all-of-us/raw-data-repository",
"path": "rdr_service/client/client_libs/_program_template.py",
"copies": "1",
"size": "2194",
"license": "bsd-3-clause",
"hash": 8080581663665504000,
"line_mean": 32.2424242424,
"line_max": 116,
"alpha_frac": 0.6668185962,
"autogenerated": false,
"ra... |
#! /bin/env python
#
# Template for RDR tool python program.
#
# pylint: disable=superfluous-parens
# pylint: disable=broad-except
import importlib
import json
import logging
import os
import sys
import tempfile
import argparse
from rdr_service.model import BQ_TABLES, BQ_VIEWS
from rdr_service.model.bq_base import B... | {
"repo_name": "all-of-us/raw-data-repository",
"path": "rdr_service/tools/tool_libs/bq_migrate.py",
"copies": "1",
"size": "18783",
"license": "bsd-3-clause",
"hash": -5330010514421619000,
"line_mean": 43.1952941176,
"line_max": 119,
"alpha_frac": 0.5391045094,
"autogenerated": false,
"ratio": 4.... |
#!/bin/env python
#
# tests requiring Atompaw calls.
#
# will not run if Atopmaw not installed
import os
import sys
sys.path.append('.')
import shutil
#import numpy as np
import tools_for_tests
import analysis_driver
# directory of test input files
test_inputs_dir = os.path.join(tools_for_tests.test_dir, 'test_inputs... | {
"repo_name": "caseynbrock/opal2",
"path": "tests/test_atompaw.py",
"copies": "1",
"size": "2766",
"license": "mit",
"hash": 7227303300043857000,
"line_mean": 39.6764705882,
"line_max": 88,
"alpha_frac": 0.6695589299,
"autogenerated": false,
"ratio": 3.2350877192982455,
"config_test": true,
"... |
#!/bin/env python
#
# tests requiring dprepro calls.
#
# will not run if dprepro not installed or not in path
import os
import sys
sys.path.append('.')
import shutil
import tools_for_tests
import analysis_driver
# directory of test input files
test_inputs_dir = os.path.join(tools_for_tests.test_dir, 'test_inputs_dprep... | {
"repo_name": "caseynbrock/opal2",
"path": "tests/test_dprepro.py",
"copies": "1",
"size": "1230",
"license": "mit",
"hash": 4680722895400316000,
"line_mean": 36.2727272727,
"line_max": 93,
"alpha_frac": 0.6609756098,
"autogenerated": false,
"ratio": 3.379120879120879,
"config_test": true,
"h... |
#! /bin/env python
#
# Test the heymodule.
from BeOS.hey import Hey
from time import sleep
x = Hey( "text/plain" )
f = x.Specifier( "Frame of Window 0" )
t = x.Specifier( "Title of Window 0" )
old_rect = x.Get( f )
print "x.Get( f ) returned '%s'" % ( old_rect, )
a = x.Get( t )
print "x.Get( t ) returned '%s'" % (... | {
"repo_name": "Taffer/BeOS",
"path": "heymodule/testhey.py",
"copies": "1",
"size": "1128",
"license": "mit",
"hash": -2149453904563144000,
"line_mean": 21.1176470588,
"line_max": 85,
"alpha_frac": 0.5744680851,
"autogenerated": false,
"ratio": 2.4521739130434783,
"config_test": false,
"has_n... |
#!/bin/env python
"""Tftp common utility module.
This module defines constant and utility functions
for tftp client and tftp server.
"""
import socket
import struct
# Protocol type
RRQ, WRQ, DATA, ACK, ERROR, OACK = range(1,7)
DEFAULT_BLOCK_SIZE = 512
MAX_BLOCK_SIZE = 1428
def default_port():
return socket.get... | {
"repo_name": "cizixs/tftp",
"path": "tftp/tftp.py",
"copies": "1",
"size": "1560",
"license": "mit",
"hash": 6492541873344285000,
"line_mean": 25,
"line_max": 73,
"alpha_frac": 0.6461538462,
"autogenerated": false,
"ratio": 3.5697940503432495,
"config_test": false,
"has_no_keywords": false,
... |
# The MIT License (MIT)
#
# Copyright (c) 2014 The Badmin
#
# 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, including without limitation the rights
# to use, copy, modif... | {
"repo_name": "thebadmin/dnssec-stat",
"path": "dnssec-stat.py",
"copies": "1",
"size": "6383",
"license": "mit",
"hash": 6754868309562889000,
"line_mean": 31.9020618557,
"line_max": 79,
"alpha_frac": 0.5556948144,
"autogenerated": false,
"ratio": 3.522626931567329,
"config_test": false,
"has... |
from email.mime.text import MIMEText
from jinja2 import Environment, FileSystemLoader
from datetime import datetime as dt
import os
import six
import smtplib
# Get the directory for this file.
SECRET_SANTA_DIR = os.path.join(os.path.dirname(os.path.abspath(__file__)),
'templates')
j2en... | {
"repo_name": "wolsen/secret-santa",
"path": "secretsanta/mail.py",
"copies": "1",
"size": "4308",
"license": "mit",
"hash": 1988515071256009000,
"line_mean": 36.7894736842,
"line_max": 79,
"alpha_frac": 0.6538997214,
"autogenerated": false,
"ratio": 4.095057034220532,
"config_test": false,
"... |
import copy
import random
def create_pairings(participants):
"""
Determines the pairings and returns the set of tuples (giver, receiver)
for this secret santa game.
Start with all participants are both givers and receivers. In order to
provide some randomness, start by shuffling the list of part... | {
"repo_name": "wolsen/secret-santa",
"path": "secretsanta/matcher.py",
"copies": "1",
"size": "3225",
"license": "mit",
"hash": 8236493513921858000,
"line_mean": 32.2474226804,
"line_max": 79,
"alpha_frac": 0.6927131783,
"autogenerated": false,
"ratio": 4.1505791505791505,
"config_test": false,... |
import sys
import secretsanta.common
import secretsanta.matcher
import secretsanta.mail
def __main__():
"""
This is the main function for the secret santa program.
"""
# TODO(wolsen) args parsing, it'd be nice if this had proper arguments
# that could be passed.
config = secretsanta.common.Co... | {
"repo_name": "wolsen/secret-santa",
"path": "secretsanta/__init__.py",
"copies": "1",
"size": "1687",
"license": "mit",
"hash": -5954278041711331000,
"line_mean": 35.6739130435,
"line_max": 79,
"alpha_frac": 0.7397747481,
"autogenerated": false,
"ratio": 4.065060240963855,
"config_test": false... |
# The MIT License (MIT)
#
# Copyright (c) 2019 Looker Data Sciences, Inc.
#
# 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, including without limitation the rights
# to ... | {
"repo_name": "looker-open-source/embed-sdk",
"path": "demo/demo.py",
"copies": "1",
"size": "3407",
"license": "mit",
"hash": 5852923697249895000,
"line_mean": 27.6302521008,
"line_max": 97,
"alpha_frac": 0.6912239507,
"autogenerated": false,
"ratio": 3.586315789473684,
"config_test": false,
... |
#!/bin/env python
"""
This file defines a set of system_info classes for getting
information about various resources (libraries, library directories,
include directories, etc.) in the system. Currently, the following
classes are available:
atlas_info
atlas_threads_info
atlas_blas_info
atlas_blas_threads_info
... | {
"repo_name": "google/syzygy",
"path": "third_party/numpy/files/numpy/distutils/system_info.py",
"copies": "12",
"size": "72064",
"license": "apache-2.0",
"hash": -5202065333065525000,
"line_mean": 34.4296951819,
"line_max": 98,
"alpha_frac": 0.5383964254,
"autogenerated": false,
"ratio": 3.52460... |
"""Table and labbook testing"""
import os, random, string
from PEATDB.Labbook import LabbookTableModel
def simulate_sequence(length):
"""simulate a dna seq"""
dna = ['A', 'C', 'G', 'T']
sequence = ''
for i in range(length):
sequence += random.choice(dna)
return sequence
def createTable()... | {
"repo_name": "dmnfarrell/peat",
"path": "PEATDB/Testing/tablestest.py",
"copies": "1",
"size": "1225",
"license": "mit",
"hash": 4287379398751035000,
"line_mean": 22.1132075472,
"line_max": 66,
"alpha_frac": 0.587755102,
"autogenerated": false,
"ratio": 3.5302593659942363,
"config_test": false... |
#! /bin/env python
#
# This file is subject to the terms and conditions defined in the
# file 'LICENSE', which is part of this source code package.
#
# Template for RDR tool python program.
#
import argparse
import importlib
import logging
import os
import shutil
import sys
import tempfile
from pathlib import Path
f... | {
"repo_name": "all-of-us/raw-data-repository",
"path": "rdr_service/tools/tool_libs/deploy_func.py",
"copies": "1",
"size": "6364",
"license": "bsd-3-clause",
"hash": 1714034574463291600,
"line_mean": 36.4352941176,
"line_max": 116,
"alpha_frac": 0.6187932118,
"autogenerated": false,
"ratio": 3.7... |
#!/bin/env python
#
# This is a basic test of the learning switch.
import sys
sys.path.append('.')
from sim.api import *
from sim.basics import *
from rip_router import RIPRouter
from learning_switch import LearningSwitch as switch
import sim.topo as topo
import os
import time
class ReceiveEntity (Entity):
def ... | {
"repo_name": "zhaoyan1117/RoutingProtocols",
"path": "tests/learning_switch_learns.py",
"copies": "1",
"size": "1706",
"license": "bsd-3-clause",
"hash": -6046627128548619000,
"line_mean": 25.2461538462,
"line_max": 111,
"alpha_frac": 0.6951934349,
"autogenerated": false,
"ratio": 3.280769230769... |
#!/bin/env python
#
# This is a script to generate a series of input files from a template
# and a table of variable values. The template file can have any number
# of variables of the for ${varname} for replacement. The data file
# should then have the following structure:
# filename V id lattice
# file40... | {
"repo_name": "habanero-rice/hcpp",
"path": "test/performance-regression/full-apps/qmcpack/utils/generate.py",
"copies": "2",
"size": "1201",
"license": "bsd-3-clause",
"hash": -979189022579984000,
"line_mean": 29.025,
"line_max": 72,
"alpha_frac": 0.6336386345,
"autogenerated": false,
"ratio": 3... |
#!/bin/env python
'''
This script downloads and repacks official rust language builds
with the necessary tool and target support for the Firefox
build environment.
'''
import os.path
import sys
import requests
import subprocess
import toml
def fetch_file(url):
'''Download a file from the given url if it's not a... | {
"repo_name": "Yukarumya/Yukarum-Redfoxes",
"path": "taskcluster/docker/rust-build/repack_rust.py",
"copies": "1",
"size": "6624",
"license": "mpl-2.0",
"hash": 3639322748937405400,
"line_mean": 31.9552238806,
"line_max": 92,
"alpha_frac": 0.6017512077,
"autogenerated": false,
"ratio": 3.42857142... |
#!/bin/env python
# This script fetches the dependencies listed in the file
# "projectdata/dependencies.json"
from ci_build import default_platform
from optparse import OptionParser
import dependencies
import getpass
import sys
import traceback
import os
description = "Fetch ohWidget dependencies from the Internet."... | {
"repo_name": "broonie89/loadify-1",
"path": "lib/ohdevtools/commands/fetch_dependencies.py",
"copies": "1",
"size": "4072",
"license": "mit",
"hash": -5679040403450270000,
"line_mean": 41.8631578947,
"line_max": 147,
"alpha_frac": 0.653978389,
"autogenerated": false,
"ratio": 3.9765625,
"confi... |
#!/bin/env python
# This script reads a COPASI file, as well as a tab delimited file, and creates optimization items (that is
# parameters that COPASI might vary during an optimization / parameter estimation task) for the entries contained
# therein. The resulting file will be written into an output file that is provi... | {
"repo_name": "jonasfoe/COPASI",
"path": "copasi/bindings/python/examples/add_optitems.py",
"copies": "2",
"size": "3275",
"license": "artistic-2.0",
"hash": -4091368261842654000,
"line_mean": 37.0813953488,
"line_max": 119,
"alpha_frac": 0.6830534351,
"autogenerated": false,
"ratio": 3.579234972... |
#!/bin/env python
"""
This script removes duplicated dist-info directories of setuptools, which
happen to exist on the Travis CI in their Ubuntu 14.04 (trusty) distro:
site-packages/setuptools <- contains 36.3.0
site-packages/setuptools-36.0.1.dist-info <- duplicate to be removed
site-packages/se... | {
"repo_name": "andy-maier/ownmoviedb",
"path": "remove_duplicate_setuptools.py",
"copies": "2",
"size": "1857",
"license": "apache-2.0",
"hash": -8960871743032433000,
"line_mean": 29.95,
"line_max": 78,
"alpha_frac": 0.6424340334,
"autogenerated": false,
"ratio": 3.805327868852459,
"config_test... |
#!/bin/env python
'''
This script triggers a taskcluster task, waits for it to finish,
fetches the artifacts, uploads them to tooltool, and updates
the in-tree tooltool manifests.
'''
from __future__ import print_function
import requests.packages.urllib3
import argparse
import datetime
import json
import os
import s... | {
"repo_name": "Yukarumya/Yukarum-Redfoxes",
"path": "taskcluster/docker/rust-build/tcbuild.py",
"copies": "1",
"size": "7647",
"license": "mpl-2.0",
"hash": 3986560689040673300,
"line_mean": 32.247826087,
"line_max": 87,
"alpha_frac": 0.5927814829,
"autogenerated": false,
"ratio": 3.9035222052067... |
#!/bin/env python
# This script will need to be setup as a cron job
# it will watch periodically for new files to appear
# in the file table, and begin to process them
# recording their results in the table for status
# updates
import sys, string
import Config
import Database
import argparse
import atexit, os, time... | {
"repo_name": "BioGRID/ORCA",
"path": "operations/DataProcessing/DataProcessingCRON.py",
"copies": "1",
"size": "4796",
"license": "mit",
"hash": 7430842498039528000,
"line_mean": 30.5592105263,
"line_max": 302,
"alpha_frac": 0.6657631359,
"autogenerated": false,
"ratio": 3.3053066850447967,
"c... |
#!/bin/env python
#This software is licensed as described in the file LICENSE.md, which
# you should have received as part of this distribution.
from kaira.data_containers.abstract_data_container import AbstractDataContainer
class AbstractLoader(object):
"""Class that handles loading for different objects.
... | {
"repo_name": "Joshuaalbert/KAIRApy",
"path": "src/kaira/loaders/abstract_loader.py",
"copies": "1",
"size": "2210",
"license": "apache-2.0",
"hash": -7112353343101034000,
"line_mean": 42.3333333333,
"line_max": 174,
"alpha_frac": 0.6850678733,
"autogenerated": false,
"ratio": 4.537987679671458,
... |
#!/bin/env python
# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this
# file, You can obtain one at http://mozilla.org/MPL/2.0/.
import logging
from optparse import OptionParser
import os
import os.path
import re
from subprocess i... | {
"repo_name": "wilebeast/FireFox-OS",
"path": "B2G/gecko/tools/l10n/l10n.py",
"copies": "2",
"size": "3682",
"license": "apache-2.0",
"hash": -6305674070894290000,
"line_mean": 29.4297520661,
"line_max": 69,
"alpha_frac": 0.6298207496,
"autogenerated": false,
"ratio": 3.6098039215686275,
"confi... |
#!/bin/env python
""" Tool demonstrating how to convert from Python Dictionaries to XML"""
from xmltools import *
try :
from cxmltools import * # Use CXMLtools if possible
except :
pass
import sys
if __name__ == "__main__" :
input_stdin = False
output_stdout = False
if (len(sys.argv)==1) :
... | {
"repo_name": "RichIsMyName/PicklingToolsRepo",
"path": "Python/dict2xml.py",
"copies": "2",
"size": "1366",
"license": "bsd-3-clause",
"hash": 461183983511397400,
"line_mean": 28.6956521739,
"line_max": 119,
"alpha_frac": 0.5922401171,
"autogenerated": false,
"ratio": 3.3398533007334965,
"conf... |
#!/bin/env python
# Tool for debugging clang translator
import sys
import clang.cindex
def cursors_with_token(cursor, token):
for t in cursor.get_tokens():
if token in t.spelling:
yield cursor
break
for child in cursor.get_children():
for c in cursors_with_token(child... | {
"repo_name": "JaneliaSciComp/osgpyplusplus",
"path": "examples/rough_translated1/cursor_for_token.py",
"copies": "1",
"size": "1178",
"license": "bsd-3-clause",
"hash": 1884300144981326800,
"line_mean": 31.7222222222,
"line_max": 82,
"alpha_frac": 0.6162988115,
"autogenerated": false,
"ratio": 3... |
#!/bin/env python
"""Tool to continuously capture fincore stats from Cassandra data files related to stress"""
import subprocess
import shlex
import time
import argparse
from daemonize import Daemonize
import logging
def capture_stats():
while True:
proc = subprocess.Popen("/usr/local/bin/linux-fincore ... | {
"repo_name": "mambocab/cstar_perf",
"path": "tool/cstar_perf/tool/fincore_capture.py",
"copies": "2",
"size": "1575",
"license": "apache-2.0",
"hash": -5146706380013534000,
"line_mean": 35.6279069767,
"line_max": 118,
"alpha_frac": 0.6533333333,
"autogenerated": false,
"ratio": 3.813559322033898... |
#!/bin/env python
# Translated into python from C++ tutorial at
# http:#trac.openscenegraph.org/projects/osg/wiki/Support/Tutorials/BasicGeometry
from osgpypp import osg, osgViewer
# The following section of code sets up a viewer to see the scene we create, a 'group' instance to serve as the root of the scene graph,... | {
"repo_name": "JaneliaSciComp/osgpyplusplus",
"path": "examples/osg-tutorial/tut1_basic_geometry.py",
"copies": "1",
"size": "5213",
"license": "bsd-3-clause",
"hash": 915908773346263400,
"line_mean": 58.2386363636,
"line_max": 551,
"alpha_frac": 0.7853443315,
"autogenerated": false,
"ratio": 3.3... |
#!/bin/env python
# Translated into python from C++ tutorial at
# http:#trac.openscenegraph.org/projects/osg/wiki/Support/Tutorials/Textures
from osgpypp import osg, osgDB, osgViewer
def createPyramid():
pyramidGeode = osg.Geode()
pyramidGeometry = osg.Geometry()
pyramidGeode.addDrawable(pyramidGeometry)
... | {
"repo_name": "JaneliaSciComp/osgpyplusplus",
"path": "examples/debugging2/tut3_transforms_and_states.py",
"copies": "1",
"size": "6100",
"license": "bsd-3-clause",
"hash": 3657806419145073000,
"line_mean": 33.8571428571,
"line_max": 86,
"alpha_frac": 0.7380327869,
"autogenerated": false,
"ratio"... |
#!/bin/env python
# try importing the modules that do not come with Python by default
# check if it is installed by importing the modules
try:
from google.cloud import texttospeech
import PySimpleGUI as sg
import babel
#print('\nAll modules installed successfully, have fun! d^o^b')
except Exception as ... | {
"repo_name": "Pyroseza/Random",
"path": "Google TTS/tts_form.py",
"copies": "1",
"size": "19932",
"license": "mit",
"hash": -1156495943554036000,
"line_mean": 52.8486486486,
"line_max": 164,
"alpha_frac": 0.584972897,
"autogenerated": false,
"ratio": 4.147377185678601,
"config_test": false,
... |
#!/bin/env python
#
u"""
Get mean square displacements (MSDs) of given atoms (see ids below)
from the akr files in the arguments.
This utility assumes that the cell is fixed during the simulation.
Staggered measuring of MSD for for the statistical purpose.
"""
from __future__ import print_function
import os,sys,glob... | {
"repo_name": "ryokbys/nap",
"path": "nappy/get_msd_from_akr.py",
"copies": "1",
"size": "4196",
"license": "mit",
"hash": -3528318276305278500,
"line_mean": 28.1388888889,
"line_max": 106,
"alpha_frac": 0.5502859867,
"autogenerated": false,
"ratio": 2.917941585535466,
"config_test": false,
"... |
#! /bin/env python
""""
Usage:
$ python queue_image_harvest.py user-email url_collection_api
"""
import sys
import os
from harvester.config import config as config_harvest
from harvester.collection_registry_client import Collection
import logbook
from redis import Redis
from rq import Queue
EMAIL_RETURN_ADDRESS = ... | {
"repo_name": "barbarahui/harvester",
"path": "scripts/queue_image_harvest.py",
"copies": "2",
"size": "5025",
"license": "bsd-3-clause",
"hash": 562397674925728060,
"line_mean": 32.0592105263,
"line_max": 76,
"alpha_frac": 0.5832835821,
"autogenerated": false,
"ratio": 4.0264423076923075,
"con... |
#!/bin/env python
"""
Utility functions
"""
import requests
import logging
import os
from theano import config
import numpy
def download_file(url, outpath):
"""
Download a file to a given location over HTTP
:param url: The HTTP location to fetch.
:param outpath: The location to save it to
"... | {
"repo_name": "Sentimentron/Dracula",
"path": "util.py",
"copies": "1",
"size": "1891",
"license": "bsd-3-clause",
"hash": 5440059468273810000,
"line_mean": 27.223880597,
"line_max": 72,
"alpha_frac": 0.639873083,
"autogenerated": false,
"ratio": 3.82020202020202,
"config_test": false,
"has_n... |
"""
utils.py
Utility functions for RnaChipIntegrator:
- make_errline: highlight problem fields in a string
- truncate_text: truncate a text string to a specified length
"""
def make_errline(line,bad_fields=[]):
"""Return an 'error line' indicating problem fields in a string
Given a tab-delimited line and a... | {
"repo_name": "fls-bioinformatics-core/RnaChipIntegrator",
"path": "rnachipintegrator/utils.py",
"copies": "1",
"size": "1894",
"license": "artistic-2.0",
"hash": -4691815580973784000,
"line_mean": 29.5483870968,
"line_max": 75,
"alpha_frac": 0.6436114044,
"autogenerated": false,
"ratio": 3.81854... |
# vim: tabstop=4 shiftwidth=4 softtabstop=4
#
# Copyright 2013 Mellanox Technologies, Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
... | {
"repo_name": "mellanox-openstack/vsa",
"path": "src/scripts/tgt_mon.py",
"copies": "1",
"size": "3796",
"license": "apache-2.0",
"hash": 7552989203463078000,
"line_mean": 29.6129032258,
"line_max": 124,
"alpha_frac": 0.5171232877,
"autogenerated": false,
"ratio": 3.2472198460222415,
"config_te... |
"""
/*-
* Copyright (c) 1997 by Tracy Camp campt@hurrah.com
*
* Permission to use, copy, modify, and distribute this software and its
* documentation for any purpose and without fee is hereby granted,
* provided that the above copyright notice appear in all copies and that
* both that copyright notice and this pe... | {
"repo_name": "r-lyeh/scriptorium",
"path": "python/tinypy-panda/examples/vines.py",
"copies": "1",
"size": "5527",
"license": "unlicense",
"hash": 2733201980489690000,
"line_mean": 31.5176470588,
"line_max": 93,
"alpha_frac": 0.5234304324,
"autogenerated": false,
"ratio": 3.323511725796753,
"c... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.