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#!/build/toolchain/lin32/python-2.6.1/bin/python
"""
Read a series of lines from standard input. Ignore all lines that do not start
with the @ character. For each line that starts with the @ character, assume it
has the form `@componentname,path'. Print out this line to stdout in the
format given on the command line.
... | {
"repo_name": "nico01f/z-pec",
"path": "ZimbraBuild/support/gobuild/scripts/create-specinfo.py",
"copies": "1",
"size": "1812",
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"hash": -4407049091269526000,
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"alpha_frac": 0.6048565121,
"autogenerated": false,
"ratio": 3.682926829268293,
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""" Build tool that finds dependencies automatically for any language.
fabricate is a build tool that finds dependencies automatically for any
language. It's small and just works. No hidden stuff behind your back. It was
inspired by Bill McCloskey's make replacement, memoize, but fabricate works on
Windows as well as ... | {
"repo_name": "nathankerr/clusterGIS",
"path": "examples/fabricate.py",
"copies": "2",
"size": "26546",
"license": "mit",
"hash": 2930737712435442000,
"line_mean": 37.3612716763,
"line_max": 79,
"alpha_frac": 0.5801627364,
"autogenerated": false,
"ratio": 4.333333333333333,
"config_test": false... |
"""Build tool usage
These checks catch errors relating to the use of ``-
{{compiler('xx')}}`` and ``setuptools``.
"""
import os
from . import LintCheck, ERROR, WARNING, INFO
class should_use_compilers(LintCheck):
"""The recipe requires a compiler directly
Since version 3, ``conda-build`` uses a special s... | {
"repo_name": "bioconda/bioconda-utils",
"path": "bioconda_utils/lint/check_build_help.py",
"copies": "1",
"size": "3969",
"license": "mit",
"hash": 3794453732231475700,
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"line_max": 88,
"alpha_frac": 0.60191484,
"autogenerated": false,
"ratio": 4.295454545454546,
"co... |
# build training set of data
import pandas as pd
import os
import time
from datetime import datetime
import re
from time import mktime
import matplotlib
import matplotlib.pyplot as plt
from matplotlib import style
style.use("dark_background")
# path = "X:/Backups/intraQuarter" # for Windows with X files :)
# if git cl... | {
"repo_name": "cleesmith/sentdex_scikit_machine_learning_tutorial_for_investing",
"path": "p24.py",
"copies": "2",
"size": "9028",
"license": "mit",
"hash": -3576413012822476000,
"line_mean": 32.9398496241,
"line_max": 99,
"alpha_frac": 0.5203810368,
"autogenerated": false,
"ratio": 3.54874213836... |
from datastructure import *
from util import extractrelation
def BFT(tree):
""" Breadth-first treavsal on general RST tree
:type tree: SpanNode instance
:param tree: an general RST tree
"""
queue = [tree]
bft_nodelist = []
while queue:
node = queue.pop(0)
bft_nodelist.appe... | {
"repo_name": "jiyfeng/DPLP",
"path": "code/buildtree.py",
"copies": "1",
"size": "13362",
"license": "mit",
"hash": 1234037552501756700,
"line_mean": 29.6467889908,
"line_max": 149,
"alpha_frac": 0.5588983685,
"autogenerated": false,
"ratio": 3.8003412969283277,
"config_test": false,
"has_no... |
from datastructure import *
from textblob import TextBlob
from textblob_aptagger import PerceptronTagger
from util import extractrelation
from maltparser import get_head_words
perceptron_tagger = PerceptronTagger()
def BFT(tree):
""" Breadth-first treavsal on general RST tree
:type tree: SpanNode instance
... | {
"repo_name": "jerryyeezus/nlp-summarization",
"path": "buildtree.py",
"copies": "1",
"size": "13194",
"license": "mit",
"hash": -402873277338616300,
"line_mean": 30.2654028436,
"line_max": 149,
"alpha_frac": 0.559572533,
"autogenerated": false,
"ratio": 3.7557643040136637,
"config_test": false... |
from datastructure import *
from util import extractrelation
def BFT(tree):
""" Breadth-first treavsal on general RST tree
:type tree: SpanNode instance
:param tree: an general RST tree
"""
queue = [tree]
bft_nodelist = []
while queue:
node = queue.pop(0)
bft_nodelist.appe... | {
"repo_name": "jiyfeng/RSTParser",
"path": "buildtree.py",
"copies": "1",
"size": "12246",
"license": "mit",
"hash": -2917560263804026400,
"line_mean": 29.4626865672,
"line_max": 149,
"alpha_frac": 0.5552833578,
"autogenerated": false,
"ratio": 3.7854714064914994,
"config_test": false,
"has_n... |
"""Build TUI for Windows
Open a terminal and cd to this directory. Then type:
setup.py py2exe
Hints on including matplotlib came from the following
(search for libgdk_pixbuf-2.0-0.dll):
<http://sourceforge.net/mailarchive/forum.php?forum_id=40690&max_rows=25&style=nested&viewmonth=200510>
History:
2005-1... | {
"repo_name": "r-owen/TUI",
"path": "BuildForWindows/setup.py",
"copies": "1",
"size": "7097",
"license": "bsd-3-clause",
"hash": 9125081071102631000,
"line_mean": 38.3238636364,
"line_max": 103,
"alpha_frac": 0.6239256024,
"autogenerated": false,
"ratio": 3.626469085334696,
"config_test": fals... |
"""build_下的通用工具."""
import os
import stat
import shutil
from pathlib import Path
from typing import Callable, Any, Optional
def delete_source(
root_path: Path, *,
file_predication: Optional[Callable] = None,
dir_predication: Optional[Callable] = None,
dir_iter_filter: Optional[Callable... | {
"repo_name": "Python-Tools/pmfp",
"path": "pmfp/build_/utils.py",
"copies": "1",
"size": "2036",
"license": "mit",
"hash": -7578510792441123000,
"line_mean": 31,
"line_max": 72,
"alpha_frac": 0.6074561404,
"autogenerated": false,
"ratio": 3.0915254237288137,
"config_test": false,
"has_no_key... |
"""Build unit from data pack."""
from tqdm import tqdm
import matchzoo as mz
from .units import StatefulUnit
def build_unit_from_data_pack(
unit: StatefulUnit,
data_pack: mz.DataPack, mode: str = 'both',
flatten: bool = True, verbose: int = 1
) -> StatefulUnit:
"""
Build a :class:`StatefulUnit` ... | {
"repo_name": "faneshion/MatchZoo",
"path": "matchzoo/preprocessors/build_unit_from_data_pack.py",
"copies": "1",
"size": "1285",
"license": "apache-2.0",
"hash": 7796217426171929000,
"line_mean": 32.8157894737,
"line_max": 76,
"alpha_frac": 0.6373540856,
"autogenerated": false,
"ratio": 3.510928... |
# Build UnrealCV against different UE4 version to check compatibility
import subprocess, os, sys
def format_cmd(UE4, output_folder):
cmd = [
'python',
'build.py',
'--UE4',
UE4,
'--output',
output_folder,
]
return cmd
UE414 = [r'C:\Program Files\Epic Games\UE... | {
"repo_name": "unrealcv/unrealcv",
"path": "test/ue4_version_check.py",
"copies": "1",
"size": "1466",
"license": "mit",
"hash": -7450208681856356000,
"line_mean": 33.0930232558,
"line_max": 107,
"alpha_frac": 0.6371077763,
"autogenerated": false,
"ratio": 2.9918367346938775,
"config_test": fal... |
#build up other functions (which don't need authentification) to replace the track ID's. Add in user_playlist_reorder_tracks(user, playlist_id, range_start, insert_before, range_length=1, snapshot_id=None). Need to find a way of iterating over multiple names.
from flask import Flask, redirect, url_for, session, reques... | {
"repo_name": "issyrichards/spartify2",
"path": "example3multiple.py",
"copies": "1",
"size": "2585",
"license": "mit",
"hash": -476076699925925200,
"line_mean": 25.9375,
"line_max": 259,
"alpha_frac": 0.7110251451,
"autogenerated": false,
"ratio": 2.9176072234762978,
"config_test": false,
"h... |
"""Build up the sphinx autodoc file for the python code"""
from __future__ import print_function
import os
import sys
docs_folder = os.path.dirname(__file__)
pywin_folder = os.path.dirname(docs_folder)
sys.path.append(pywin_folder)
pywin_folder = os.path.join(pywin_folder, "pywinauto")
excluded_dirs = ["unittests"]... | {
"repo_name": "pywinauto/pywinauto",
"path": "docs/build_autodoc_files.py",
"copies": "1",
"size": "2489",
"license": "bsd-3-clause",
"hash": -3081454632812917000,
"line_mean": 28.2823529412,
"line_max": 78,
"alpha_frac": 0.6114905585,
"autogenerated": false,
"ratio": 3.372628726287263,
"config... |
"""Build V8 extension with Cython."""
from Cython.Build import cythonize
from distutils.command.build import build
from setuptools import setup
from setuptools.extension import Extension
import buildtools
#
# NOTE: You will need to add these to the build_ext command:
#
# --include-dirs "${V8}/include"
# --libra... | {
"repo_name": "clchiou/garage",
"path": "py/v8/setup.py",
"copies": "1",
"size": "1390",
"license": "mit",
"hash": -8339542841952688000,
"line_mean": 22.5593220339,
"line_max": 66,
"alpha_frac": 0.471942446,
"autogenerated": false,
"ratio": 3.7066666666666666,
"config_test": false,
"has_no_ke... |
"""Build V8 from source."""
from foreman import define_parameter, get_relpath, rule
from garage import scripts
from templates import common
# Find the current releases here: https://omahaproxy.appspot.com/
# In Chromium's DEPS file you may find V8's revision.
(define_parameter('revision')
.with_doc('V8 revision.'... | {
"repo_name": "clchiou/garage",
"path": "shipyard/rules/cc/v8/build.py",
"copies": "1",
"size": "3085",
"license": "mit",
"hash": 1915690739249368800,
"line_mean": 27.8317757009,
"line_max": 71,
"alpha_frac": 0.5944894652,
"autogenerated": false,
"ratio": 3.458520179372197,
"config_test": false... |
"""Build v8 from source."""
import logging
import foreman
from g1 import scripts
from g1.bases.assertions import ASSERT
import shipyard2.rules.bases
LOG = logging.getLogger(__name__)
# Find the current releases here: https://omahaproxy.appspot.com/
# We choose stable Chrome version in the table. The v8_version c... | {
"repo_name": "clchiou/garage",
"path": "shipyard2/rules/third-party/v8/build.py",
"copies": "1",
"size": "2153",
"license": "mit",
"hash": 871488825164735100,
"line_mean": 28.4931506849,
"line_max": 73,
"alpha_frac": 0.6339990711,
"autogenerated": false,
"ratio": 3.1943620178041545,
"config_te... |
"""Build vocabulary from manifest files.
Each item in vocabulary file is a character.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import functools
import codecs
import json
from collections import Counter
import os.path
import _init_... | {
"repo_name": "xinghai-sun/models",
"path": "deep_speech_2/tools/build_vocab.py",
"copies": "1",
"size": "1670",
"license": "apache-2.0",
"hash": 1546412446179944000,
"line_mean": 27.7931034483,
"line_max": 80,
"alpha_frac": 0.6778443114,
"autogenerated": false,
"ratio": 3.7868480725623583,
"co... |
"""Build wheels/sdists by installing build deps to a temporary environment.
"""
import os
import logging
from pip._vendor import pytoml
import shutil
from subprocess import check_call
import sys
from sysconfig import get_paths
from tempfile import mkdtemp
from .wrappers import Pep517HookCaller
log = logging.getLogge... | {
"repo_name": "perlygatekeeper/glowing-robot",
"path": "Little_Alchemy_2/Scraper_python/env/lib/python3.7/site-packages/pip/_vendor/pep517/envbuild.py",
"copies": "22",
"size": "5763",
"license": "artistic-2.0",
"hash": -2229105436451534300,
"line_mean": 35.4746835443,
"line_max": 79,
"alpha_frac": 0... |
# build_windows_exe.py
#
# Builds a Windows exe of brigadier using PyInstaller. PyInstaller
# will be downloaded to the cwd and its archive kept for later use.
#
# Requires:
# - Python 2.7 for Windows (http://www.python.org/getit)
# - pywin32 (http://sourceforge.net/projects/pywin32)
import urllib
import os
from zipfi... | {
"repo_name": "timsutton/brigadier",
"path": "build_windows_exe.py",
"copies": "1",
"size": "2214",
"license": "mit",
"hash": -9060476062047932000,
"line_mean": 29.3287671233,
"line_max": 93,
"alpha_frac": 0.6793134598,
"autogenerated": false,
"ratio": 3.109550561797753,
"config_test": false,
... |
# build with: python setup.py install --user
from setuptools import setup, find_namespace_packages
from materials_commons.api import __version__
setup(
name='materials_commons-api',
version=__version__,
description='API interface to Materials Commons',
long_description="""This package contains the ma... | {
"repo_name": "materials-commons/mcapi",
"path": "setup.py",
"copies": "1",
"size": "2033",
"license": "mit",
"hash": -8424208414049840000,
"line_mean": 38.0961538462,
"line_max": 108,
"alpha_frac": 0.6635514019,
"autogenerated": false,
"ratio": 4.2710084033613445,
"config_test": false,
"has_... |
''' Build_XML_File_Listing.py
Author : James Mnatzaganian
Contact : http://techtorials.me
Version : 1.0
Date Created : 12/21/2013
Date Modified : 12/28/2013
Python Version: 2.7
Purpose: Wrapper for XMLFileListing class, allowing a user to generate an
XML file listing for... | {
"repo_name": "tehtechguy/xml_listing",
"path": "src/Build_XML_File_Listing.py",
"copies": "1",
"size": "5832",
"license": "mit",
"hash": -2978132016127247400,
"line_mean": 36.1176470588,
"line_max": 76,
"alpha_frac": 0.6234567901,
"autogenerated": false,
"ratio": 3.41852286049238,
"config_test... |
## Built by John W. Harms ##
## Verson 0.01 -- Initial Build ##
import math
import Tkinter
import tkMessageBox
from Tkinter import *
root = Tk()
root.wm_title("ECI to COE")
label1 = Label(root, text="I:")
label1.grid(row=0, column=2)
E1 = Entry(root, bd=5)
label2 = Label(root, text="J:")
label2.grid(row=0, column=3)
... | {
"repo_name": "traxtar3/RV2COE.py",
"path": "RV2COE.py",
"copies": "1",
"size": "6005",
"license": "mit",
"hash": 4405942300236600300,
"line_mean": 36.0679012346,
"line_max": 111,
"alpha_frac": 0.6258118235,
"autogenerated": false,
"ratio": 2.1181657848324513,
"config_test": false,
"has_no_ke... |
#built by Tcll5850
#inspired by Roo525
from data.COMMON import * #essentials
Header( 0.001, #Script Version (for updates)
('MikuMikuDance',['pmd']),#model activation
('MikuMikuDance',['vmd']),#anim activation
['']) #included libs
def ImportModel(T,C):
de... | {
"repo_name": "Universal-Model-Converter/UMC3.0a",
"path": "scripts/MMD_PMD.py",
"copies": "1",
"size": "1915",
"license": "mit",
"hash": -785944718762163300,
"line_mean": 33.8181818182,
"line_max": 88,
"alpha_frac": 0.4563968668,
"autogenerated": false,
"ratio": 3.52670349907919,
"config_test"... |
"""Builtin Datasets.
"""
from .read_load import read, load
from .preprocessing.utils import cleanup
from anndata import AnnData
import numpy as np
import pandas as pd
url_datadir = "https://github.com/theislab/scvelo_notebooks/raw/master/"
def toy_data(n_obs=None):
"""
Randomly sampled from the Dentate Gyru... | {
"repo_name": "theislab/scvelo",
"path": "scvelo/datasets.py",
"copies": "1",
"size": "8968",
"license": "bsd-3-clause",
"hash": -3177512737381783000,
"line_mean": 31.9558823529,
"line_max": 115,
"alpha_frac": 0.6073181615,
"autogenerated": false,
"ratio": 3.120083536373129,
"config_test": fals... |
"""Built-in file reading functions."""
import numpy as N
import astropy.io.fits as pyfits
import pandas as pd
__author__ = "Robert Nikutta <robert.nikutta@gmail.com>"
__version__ = "20180921"
def asciitable(filename,cols=(1,),xcol=None,xcolname=None,hypercubenames=None,**kwargs):
"""Read a column-based data fil... | {
"repo_name": "rnikutta/hypercubizer",
"path": "filefuncs.py",
"copies": "1",
"size": "4247",
"license": "bsd-3-clause",
"hash": 3847169102440761300,
"line_mean": 31.9224806202,
"line_max": 138,
"alpha_frac": 0.6343301154,
"autogenerated": false,
"ratio": 3.52448132780083,
"config_test": false,... |
"""Builtin functions."""
from . import HDLObject
from .expr import HDLExpression
import math
class HDLBuiltinFunction(HDLObject):
"""Builtin function."""
def __init__(self, name, args, ret, cb):
"""Initialize.
Args
----
name: str
Function name
args: List
... | {
"repo_name": "brunosmmm/hdltools",
"path": "hdltools/abshdl/builtin.py",
"copies": "1",
"size": "2558",
"license": "mit",
"hash": -4815877916442850000,
"line_mean": 27.1098901099,
"line_max": 69,
"alpha_frac": 0.3881939015,
"autogenerated": false,
"ratio": 5.408033826638478,
"config_test": fal... |
# Built-in imports
from datetime import date
from collections import defaultdict
# Imports from other SPC apps
from scipy_central.utils import get_IP_address
import models
static_items = {'spc-main-page': 1,
'spc-about-page': 2,
'spc-about-licenses': 3,
'spc-markup-hel... | {
"repo_name": "scipy/SciPyCentral",
"path": "scipy_central/pagehit/views.py",
"copies": "4",
"size": "3044",
"license": "bsd-3-clause",
"hash": -1917844915144884000,
"line_mean": 36.5802469136,
"line_max": 78,
"alpha_frac": 0.5657030223,
"autogenerated": false,
"ratio": 3.96870925684485,
"confi... |
# Built-in imports
from datetime import timedelta
import re
import os
from pprint import pprint
from functools import wraps, update_wrapper
import calendar, datetime
import json
try:
from html.parser import HTMLParser
except:
from HTMLParser import HTMLParser
from natsort import natsorted
from urllib.parse impo... | {
"repo_name": "RealTimeWeb/Blockpy-Server",
"path": "controllers/helpers.py",
"copies": "1",
"size": "10155",
"license": "mit",
"hash": 5404334999994891000,
"line_mean": 37.9118773946,
"line_max": 132,
"alpha_frac": 0.6061053668,
"autogenerated": false,
"ratio": 3.9948859166011017,
"config_test... |
#Builtin imports
import json
import logging
#External imports
import requests
#Internal imports
import tools
log = logging.getLogger()
class send_notification():
"""
Send all necessary notifications
"""
@staticmethod
def email(mailgun_key, mailgun_url, email, msg_summary, msg, first_name, last_nam... | {
"repo_name": "ironman5366/W.I.L.L",
"path": "core/notification.py",
"copies": "1",
"size": "2754",
"license": "mit",
"hash": 2461460012591809500,
"line_mean": 37.2638888889,
"line_max": 118,
"alpha_frac": 0.5381263617,
"autogenerated": false,
"ratio": 4.217457886676876,
"config_test": false,
... |
# Built-in imports
import json
import logging
import os
import random
import time
# Third-party dependencies
import dataset
import requests
# Custom imports
import config
# Bot constants
SEARCH_PARAMS = {'q': 'stars:"<5 AND >1"', 'sort': 'updated'}
# Gloabl variable init
db = None
if os.environ.get('PYTHON_ENV', ... | {
"repo_name": "martindale/add-a-license-please",
"path": "bot.py",
"copies": "1",
"size": "7332",
"license": "mit",
"hash": -1803211687327317200,
"line_mean": 31.7321428571,
"line_max": 82,
"alpha_frac": 0.5632842335,
"autogenerated": false,
"ratio": 4.017534246575343,
"config_test": true,
"h... |
#Builtin imports
import logging
#External imports
import dataset
from telegram import (ReplyKeyboardMarkup, ReplyKeyboardRemove, InlineKeyboardButton, InlineKeyboardMarkup)
from telegram.ext import (
Updater, CommandHandler, MessageHandler, Filters, Job, CallbackQueryHandler, RegexHandler, ConversationHandler, Hand... | {
"repo_name": "ironman5366/W.I.L.L-Telegram",
"path": "interface.py",
"copies": "1",
"size": "7731",
"license": "mit",
"hash": 6423831132975594000,
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"line_max": 133,
"alpha_frac": 0.6270857586,
"autogenerated": false,
"ratio": 3.684938036224976,
"config_test": false,
... |
#Builtin imports
import logging
import json
import core
import uuid
import time
import base64
try:
import queue as Queue
except ImportError:
import Queue
import datetime
import string
valid_chars = set(string.ascii_letters+string.digits+'{}|~^<>!#$%()+,-.@_[] ')
log = logging.getLogger()
log.debug("Valid SQL... | {
"repo_name": "ironman5366/W.I.L.L",
"path": "tools.py",
"copies": "1",
"size": "8357",
"license": "mit",
"hash": 5015088137979481000,
"line_mean": 28.5335689046,
"line_max": 106,
"alpha_frac": 0.5941127199,
"autogenerated": false,
"ratio": 3.8458352508053384,
"config_test": false,
"has_no_ke... |
#Builtin imports
import logging
import os
import sys
import time
import threading
#External imports
import importlib
from Queue import Queue
import dataset
#Internal imports
import main
import interface
log = logging.getLogger()
dir_path = 'plugins'
plugin_subscriptions = []
command_plugins = {}
default_plugin_d... | {
"repo_name": "ironman5366/W.I.L.L-Telegram",
"path": "plugin_handler.py",
"copies": "1",
"size": "8269",
"license": "mit",
"hash": 1682540966060107300,
"line_mean": 37.1059907834,
"line_max": 106,
"alpha_frac": 0.5519409844,
"autogenerated": false,
"ratio": 4.538419319429199,
"config_test": fa... |
#Builtin imports
import logging
import os
import sys
import time
import traceback
#External imports
import importlib
log = logging.getLogger()
dir_path = 'core/plugins'
plugin_subscriptions = []
command_plugins = {}
default_plugin_data = None
class subscriptions():
'''
Manage plugin subscriptions and ev... | {
"repo_name": "ironman5366/W.I.L.L",
"path": "core/plugin_handler.py",
"copies": "1",
"size": "8528",
"license": "mit",
"hash": -6796113253658835000,
"line_mean": 32.9760956175,
"line_max": 101,
"alpha_frac": 0.5637898687,
"autogenerated": false,
"ratio": 4.355464759959142,
"config_test": false... |
# Builtin imports
import logging
import time
# External imports
from telegram import (ReplyKeyboardMarkup, ReplyKeyboardRemove, InlineKeyboardButton, InlineKeyboardMarkup)
from telegram.ext import (
Updater, CommandHandler, MessageHandler, Filters, Job, CallbackQueryHandler, RegexHandler, ConversationHandler,
H... | {
"repo_name": "ironman5366/W.I.L.L",
"path": "core/interface_deprecated.py",
"copies": "1",
"size": "16421",
"license": "mit",
"hash": -4250832040601279500,
"line_mean": 40.1578947368,
"line_max": 120,
"alpha_frac": 0.6371110164,
"autogenerated": false,
"ratio": 3.618554429263993,
"config_test"... |
# Builtin imports
import logging
import time
# Internal imports
import core
from core.plugin_handler import subscribe
import tools
import datetime
import traceback
import sys
#External imports
from dateparser import parse
from pytz import timezone
log = logging.getLogger()
def is_reminder(event):
'''Check to se... | {
"repo_name": "ironman5366/W.I.L.L",
"path": "core/plugins/reminder.py",
"copies": "1",
"size": "4963",
"license": "mit",
"hash": -578002109795946000,
"line_mean": 36.3157894737,
"line_max": 148,
"alpha_frac": 0.5871448721,
"autogenerated": false,
"ratio": 3.7598484848484848,
"config_test": fal... |
#Builtin imports
import logging
#External imports
import spacy
import dataset
from spacy.symbols import nsubj, VERB
from spacy.matcher import Matcher
#Internal imports
import plugin_handler
log = logging.getLogger()
nlp = None
matcher = None
def parse(bot, update ,job_queue, chat_data):
'''Function that calls ... | {
"repo_name": "ironman5366/W.I.L.L-Telegram",
"path": "parser.py",
"copies": "1",
"size": "1876",
"license": "mit",
"hash": -2975428088864151600,
"line_mean": 26.6029411765,
"line_max": 79,
"alpha_frac": 0.6423240938,
"autogenerated": false,
"ratio": 3.7222222222222223,
"config_test": false,
... |
#Builtin imports
import logging
#External imports
import spacy
import dataset
from spacy.symbols import nsubj, VERB
from spacy.matcher import Matcher
log = logging.getLogger()
log.debug("In parser, loading model")
try:
nlp = spacy.load('en')
log.debug("Loaded model")
matcher = Matcher(nlp.vocab)
log.... | {
"repo_name": "ironman5366/W.I.L.L",
"path": "core/parser.py",
"copies": "1",
"size": "1683",
"license": "mit",
"hash": 472361941509998700,
"line_mean": 26.5901639344,
"line_max": 153,
"alpha_frac": 0.6256684492,
"autogenerated": false,
"ratio": 3.6907894736842106,
"config_test": false,
"has_... |
# Built-in Imports
import os
from time import sleep
# Cloudify Imports
from ecosystem_tests import TestLocal, utils
class TestAzure(TestLocal):
def inputs(self):
try:
return {
'password': self.password,
'location': 'eastus',
'resource_prefix': ... | {
"repo_name": "cloudify-cosmo/cloudify-azure-plugin",
"path": "manager_tests/test_azure.py",
"copies": "1",
"size": "4433",
"license": "apache-2.0",
"hash": -2431788212048361500,
"line_mean": 35.6363636364,
"line_max": 79,
"alpha_frac": 0.5648545003,
"autogenerated": false,
"ratio": 4.00813743218... |
#Builtin imports
import os
import logging
import json
import time
import threading
#External imports
import telegram
#from socketIO_client import SocketIO, LoggingNamespace, BaseNamespace
from telegram.ext import (
Updater, CommandHandler, MessageHandler, Filters
)
import requests
import dataset
CONF_FILE = "will-tel... | {
"repo_name": "ironman5366/W.I.L.L",
"path": "interfaces/W.I.L.L-Telegram/main.py",
"copies": "1",
"size": "5460",
"license": "mit",
"hash": -2359060178118995500,
"line_mean": 38.5724637681,
"line_max": 120,
"alpha_frac": 0.6256410256,
"autogenerated": false,
"ratio": 3.6842105263157894,
"confi... |
"""Built-in job data store implementations."""
import collections
import json
import logging
import os
import posixpath
import sqlite3
from datetime import datetime
import boto3
import botocore.exceptions
import elasticsearch
import elasticsearch.helpers
import yaml
from . import env
_logger = logging.getLogger(__n... | {
"repo_name": "drmonkeysee/ecs-scheduler",
"path": "ecs_scheduler/persistence.py",
"copies": "1",
"size": "14531",
"license": "mit",
"hash": -3350471277099556000,
"line_mean": 28.5947046843,
"line_max": 79,
"alpha_frac": 0.5299704081,
"autogenerated": false,
"ratio": 4.000825991189427,
"config_... |
# Built-in libraries
from copy import deepcopy
from abc import ABCMeta, abstractmethod
from typing import List, Dict, Any, NewType
# 3rd-party libraries
# None
# Local libraries
from settings import *
from mixins import *
class Item(ReprMixin, DataFileMixin):
""" Class for generating item objects; used by Inve... | {
"repo_name": "Diapolo10/RPGenie",
"path": "src/classes.py",
"copies": "1",
"size": "10940",
"license": "mit",
"hash": -2321503157525056000,
"line_mean": 35.835016835,
"line_max": 121,
"alpha_frac": 0.5668190128,
"autogenerated": false,
"ratio": 4.209311273566756,
"config_test": false,
"has_n... |
# built-in libraries
import argparse
import os
from copy import deepcopy
# scientific libraries
import numpy as np
import numpy.ma as ma
import yaml
import h5py
# others
from joblib import Parallel, delayed
# wormtracker package
import sys
sys.path.append(r'D:\WormTracker\python')
import wormtracker.analysis as wta
... | {
"repo_name": "stephenhelms/WormTracker",
"path": "python/fit_centroid_model_data.py",
"copies": "1",
"size": "3592",
"license": "apache-2.0",
"hash": -7217125869550511000,
"line_mean": 31.6545454545,
"line_max": 86,
"alpha_frac": 0.5815701559,
"autogenerated": false,
"ratio": 3.483996120271581,
... |
# built-in libraries
import argparse
import os
# scientific libraries
import numpy as np
import numpy.ma as ma
import h5py
# others
from joblib import Parallel, delayed
import sys
# my statistics library
sys.path.append(r'D:\stephen\code\statstools')
import stats
import tsstats
# wormtracker package
sys.path.appen... | {
"repo_name": "stephenhelms/WormTracker",
"path": "python/calculate_correlation_functions.py",
"copies": "1",
"size": "7055",
"license": "apache-2.0",
"hash": 2746750634284587500,
"line_mean": 32.4360189573,
"line_max": 114,
"alpha_frac": 0.5713678242,
"autogenerated": false,
"ratio": 3.180793507... |
# built-in libraries
import csv
import itertools
import logging
import sys
# third-party libraries
import myvariant
# project libraries
from VAPr.vcf_genotype_fields_parsing import VCFGenotypeParser
class AnnovarTxtParser(object):
""" Class that processes an Annovar-created tab-delimited text file."""
CHR_... | {
"repo_name": "ucsd-ccbb/VAPr",
"path": "VAPr/annovar_output_parsing.py",
"copies": "1",
"size": "13217",
"license": "mit",
"hash": -2495036443986952000,
"line_mean": 46.0355871886,
"line_max": 167,
"alpha_frac": 0.6212453658,
"autogenerated": false,
"ratio": 3.574094104921579,
"config_test": f... |
##Built-In Libraries##
import time
import csv
import string
##Third-Party Libraries##
import numpy as np
from PIL import Image,ImageTk
import wolframalpha
##Other TP Files##
import mnist_training as mnist #See File for Citations
import unpackData as unpack #See File for Citations
class Network(object):... | {
"repo_name": "josephwkim/mathnotes",
"path": "neuralNet.py",
"copies": "1",
"size": "35008",
"license": "mit",
"hash": -226608190900242530,
"line_mean": 35.2446808511,
"line_max": 105,
"alpha_frac": 0.5991202011,
"autogenerated": false,
"ratio": 3.5215773061060256,
"config_test": true,
"has_... |
# Built in library imports
import re
import urllib
import urllib2
# JSON decoder
try:
import json
except ImportError:
try:
import simplejson as json
except ImportError:
raise ImportError("Need a json decoder")
# Embed.ly Multi Provider API Endpoint
OEMBED_API_ENDPOINT = 'http://api.embed.... | {
"repo_name": "embedly/embedly_client",
"path": "embedly.py",
"copies": "1",
"size": "2859",
"license": "mit",
"hash": -8092513172816472000,
"line_mean": 27.59,
"line_max": 72,
"alpha_frac": 0.5673312347,
"autogenerated": false,
"ratio": 3.094155844155844,
"config_test": false,
"has_no_keywor... |
# Built-in modules
from abc import abstractmethod
from copy import deepcopy
import csv
from os import pardir, path, makedirs
import pickle
# Third-party modules
import numpy as np
import bloscpack as bp
from sklearn.metrics import mean_absolute_error
PROJECT_ROOT_PATH = path.join(path.dirname(__file__), pardir, pardir... | {
"repo_name": "gciteam6/xgboost",
"path": "src/models/base.py",
"copies": "1",
"size": "3971",
"license": "mit",
"hash": -7293949058208677000,
"line_mean": 28.4148148148,
"line_max": 72,
"alpha_frac": 0.6325862503,
"autogenerated": false,
"ratio": 3.5969202898550723,
"config_test": false,
"ha... |
# Built-in modules
from copy import deepcopy
import csv
from os import pardir, path, makedirs
import datetime
# Third-party modules
import numpy as np
import pandas as pd
import bloscpack as bp
PROJECT_ROOT_PATH = path.join(path.dirname(__file__), pardir, pardir)
RAW_DATA_BASEPATH = path.join(PROJECT_ROOT_PATH, "data/... | {
"repo_name": "gciteam6/xgboost",
"path": "src/data/base.py",
"copies": "1",
"size": "4968",
"license": "mit",
"hash": -5165907562915625000,
"line_mean": 32.3288590604,
"line_max": 107,
"alpha_frac": 0.6345147,
"autogenerated": false,
"ratio": 3.107634543178974,
"config_test": false,
"has_no_... |
# Built-in modules
from copy import deepcopy
import csv
from os import pardir, path, makedirs
# Third-party modules
import numpy as np
import pandas as pd
import bloscpack as bp
PROJECT_ROOT_PATH = path.join(path.dirname(__file__), pardir, pardir)
RAW_DATA_BASEPATH = path.join(PROJECT_ROOT_PATH, "data/raw")
INTERIM_DA... | {
"repo_name": "gciteam6/xgboost",
"path": "src/features/base.py",
"copies": "1",
"size": "4223",
"license": "mit",
"hash": 6808331128928452000,
"line_mean": 27.3422818792,
"line_max": 78,
"alpha_frac": 0.6308311627,
"autogenerated": false,
"ratio": 3.1444527177959793,
"config_test": false,
"h... |
# Built-in modules #
from datetime import datetime
# Internal modules #
from plumbing.color import Color
################################################################################
class Timer(object):
"""Useful for timing the different steps in a pipeline"""
def __init__(self):
self.start_time ... | {
"repo_name": "DC23/plumbing",
"path": "plumbing/timer.py",
"copies": "1",
"size": "1344",
"license": "mit",
"hash": -8360708420851177000,
"line_mean": 33.4871794872,
"line_max": 103,
"alpha_frac": 0.5900297619,
"autogenerated": false,
"ratio": 3.884393063583815,
"config_test": false,
"has_no... |
# Built-in modules #
from datetime import datetime
# Internal modules #
from pydirdiff.plumbing.color import Color
################################################################################
class Timer(object):
"""Useful for timing the different steps in a pipeline.
Use it like this:
timer = T... | {
"repo_name": "xapple/pydirdiff",
"path": "pydirdiff/plumbing/timer.py",
"copies": "1",
"size": "1975",
"license": "mit",
"hash": -3135818163210906000,
"line_mean": 29.4,
"line_max": 104,
"alpha_frac": 0.5716455696,
"autogenerated": false,
"ratio": 3.8349514563106797,
"config_test": false,
"h... |
# Built-in modules #
from datetime import datetime
# Internal modules #
from seqenv.common.color import Color
################################################################################
class Timer(object):
"""Useful for timing the different steps in a pipeline"""
def __init__(self):
self.start_... | {
"repo_name": "xapple/seqenv",
"path": "seqenv/common/timer.py",
"copies": "1",
"size": "1349",
"license": "mit",
"hash": -4645965685529809000,
"line_mean": 33.6153846154,
"line_max": 103,
"alpha_frac": 0.5908080059,
"autogenerated": false,
"ratio": 3.887608069164265,
"config_test": false,
"h... |
# Built-in modules
from glob import glob
import re
# Third-party modules
import numpy as np
import pandas as pd
# Hand-made modules
from .base import DataFrameHandlerBase, BloscpackMixin
REGEX_FLAG_NAME_PREFIX = "f_"
class DatasetHandler(DataFrameHandlerBase, BloscpackMixin):
def __init__(self, columns_y):
... | {
"repo_name": "gciteam6/xgboost",
"path": "src/data/dataset.py",
"copies": "1",
"size": "3893",
"license": "mit",
"hash": -2576794902021869600,
"line_mean": 32.5603448276,
"line_max": 83,
"alpha_frac": 0.5777035705,
"autogenerated": false,
"ratio": 3.5880184331797236,
"config_test": false,
"h... |
# Built-in modules
from glob import glob
# Third-party modules
import pandas as pd
# Hand-made modules
from .base import LocationHandlerBase
AMD_REGEX_DIRNAME = "amd[1-5]"
AMD_COLUMN_NAME_ANNOTATION = "amd"
KWARGS_READ_CSV_AMD_MASTER = {
"index_col": 0,
}
KWARGS_READ_CSV_AMD_LOG = {
"index_col": 0,
}
class A... | {
"repo_name": "gciteam6/xgboost",
"path": "src/data/amedas.py",
"copies": "1",
"size": "2469",
"license": "mit",
"hash": 3442169893110202400,
"line_mean": 31.0649350649,
"line_max": 94,
"alpha_frac": 0.5779667882,
"autogenerated": false,
"ratio": 3.2963951935914553,
"config_test": false,
"has... |
# Built-in modules
from glob import glob
# Third-party modules
import pandas as pd
# Hand-made modules
from .base import LocationHandlerBase
SFC_REGEX_DIRNAME = "sfc[12]"
SFC_COLUMN_NAME_ANNOTATION = "sfc"
KWARGS_READ_CSV_SFC_MASTER = {
"index_col": 0,
}
KWARGS_READ_CSV_SFC_LOG = {
"index_col": 0,
}
class Su... | {
"repo_name": "gciteam6/xgboost",
"path": "src/data/surface.py",
"copies": "1",
"size": "2357",
"license": "mit",
"hash": -3185611709660712400,
"line_mean": 31.2876712329,
"line_max": 94,
"alpha_frac": 0.5888841748,
"autogenerated": false,
"ratio": 3.2111716621253406,
"config_test": false,
"h... |
# Built-in modules
from os import path, pardir
import sys
import logging
import re
# not used in this stub but often useful for finding various files
PROJECT_ROOT_DIRPATH = path.join(path.dirname(__file__), pardir, pardir)
sys.path.append(PROJECT_ROOT_DIRPATH)
# Third-party modules
import click
from dotenv import fin... | {
"repo_name": "gciteam6/xgboost",
"path": "src/models/train_predict_stacking.py",
"copies": "1",
"size": "5640",
"license": "mit",
"hash": 4337706489243061000,
"line_mean": 32.7724550898,
"line_max": 108,
"alpha_frac": 0.6386524823,
"autogenerated": false,
"ratio": 3.280977312390925,
"config_te... |
# Built-in modules
from os import path, pardir
import sys
import logging
# not used in this stub but often useful for finding various files
PROJECT_ROOT_DIRPATH = path.join(path.dirname(__file__), pardir, pardir)
sys.path.append(PROJECT_ROOT_DIRPATH)
# Third-party modules
import click
from dotenv import find_dotenv, ... | {
"repo_name": "gciteam6/xgboost",
"path": "src/models/separate_train_y.py",
"copies": "1",
"size": "1666",
"license": "mit",
"hash": -8674525521721978000,
"line_mean": 26.3114754098,
"line_max": 80,
"alpha_frac": 0.6710684274,
"autogenerated": false,
"ratio": 3.3724696356275303,
"config_test": ... |
# Built-in modules #
import getpass
# Internal modules #
from plumbing.cache import expiry_every
from plumbing.common import which
# Third party modules #
import sh
# Constants #
user = getpass.getuser()
################################################################################
class ExistingJobs(object):
... | {
"repo_name": "DC23/plumbing",
"path": "plumbing/slurm/existing.py",
"copies": "1",
"size": "3700",
"license": "mit",
"hash": 6195518600959464000,
"line_mean": 42.5294117647,
"line_max": 159,
"alpha_frac": 0.5608108108,
"autogenerated": false,
"ratio": 3.7298387096774195,
"config_test": false,
... |
# Built-in modules #
import gzip
# Internal modules #
from seqenv.common.cache import property_cached
from seqenv.common.autopaths import FilePath
# Third party modules #
import sh
from Bio import SeqIO
from Bio.SeqRecord import SeqRecord
from Bio.Seq import Seq
######################################################... | {
"repo_name": "xapple/seqenv",
"path": "seqenv/fasta/__init__.py",
"copies": "1",
"size": "3180",
"license": "mit",
"hash": -5141147210999581000,
"line_mean": 31.793814433,
"line_max": 86,
"alpha_frac": 0.6059748428,
"autogenerated": false,
"ratio": 3.7947494033412887,
"config_test": false,
"... |
# built in modules
import heapq
# installed modules
import numpy as np
import scipy.stats
from gensim.matutils import unitvec
def lucene_tf(freq):
"""Lucene's inverse document frequency, adapted from
https://ayende.com/blog/166274/the-lucene-formula-tf-idf"""
return np.sqrt(freq)
def lucene_idf(freq, c... | {
"repo_name": "lucasoldaini/python3-utils",
"path": "mathutils.py",
"copies": "1",
"size": "7068",
"license": "unlicense",
"hash": -8940268851188029000,
"line_mean": 24.9852941176,
"line_max": 79,
"alpha_frac": 0.5713073005,
"autogenerated": false,
"ratio": 3.209809264305177,
"config_test": fal... |
# Built-in modules #
import inspect
################################################################################
def cached(f):
"""Decorator for functions evaluated only once."""
def memoized(*args, **kwargs):
if hasattr(memoized, '__cache__'):
return memoized.__cache__
result =... | {
"repo_name": "xapple/seqenv",
"path": "seqenv/common/cache.py",
"copies": "1",
"size": "1943",
"license": "mit",
"hash": 2307427523006150000,
"line_mean": 34.3454545455,
"line_max": 80,
"alpha_frac": 0.4750386001,
"autogenerated": false,
"ratio": 4.8213399503722085,
"config_test": false,
"ha... |
#Builtin modules
import logging
import os
import sys
#Internal modules
import interface
import plugin_handler
import parser
#External imports
import dataset
db = dataset.connect('sqlite:///will.db')
#
logging.basicConfig(level=logging.DEBUG, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
... | {
"repo_name": "ironman5366/W.I.L.L-Telegram",
"path": "main.py",
"copies": "1",
"size": "1569",
"license": "mit",
"hash": -1683573549559948800,
"line_mean": 28.6226415094,
"line_max": 103,
"alpha_frac": 0.5952836201,
"autogenerated": false,
"ratio": 4.054263565891473,
"config_test": false,
"h... |
#Builtin modules
import logging
import threading
import time
import requests
#Internal modules
try:
import core.plugin_handler as plugin_handler
import core.parser as parser
except ImportError:
import plugin_handler
import parser
import core.notification as notification
import tools
log = logging.getL... | {
"repo_name": "ironman5366/W.I.L.L",
"path": "core/__init__.py",
"copies": "1",
"size": "4994",
"license": "mit",
"hash": -2396827601428665000,
"line_mean": 33.4482758621,
"line_max": 105,
"alpha_frac": 0.5450540649,
"autogenerated": false,
"ratio": 4.680412371134021,
"config_test": false,
"h... |
# Built-in modules
import math
# Third-party modules
import pandas as pd
# Hand-made modules
from .base import CategoricalHandlerBase
MONTH_CATEGORY_NUMBER = 12
HOUR_CATEGORY_NUMBER = 24
COS_SIN_SUFFIXES = [
"_cos",
"_sin"
]
WEATHER_CORRESPOND_DICT = {
"晴れ": 1,
"くもり": 0,
"雨": -1,
"雪": -2
}
WIN... | {
"repo_name": "gciteam6/xgboost",
"path": "src/features/dummy.py",
"copies": "1",
"size": "1813",
"license": "mit",
"hash": 3596844145051726000,
"line_mean": 23.5138888889,
"line_max": 116,
"alpha_frac": 0.5915014164,
"autogenerated": false,
"ratio": 2.707055214723926,
"config_test": false,
"... |
# Built-in modules #
import multiprocessing
# Internal modules #
from seqenv.seqsearch.blast import BLASTquery
from seqenv.seqsearch.vsearch import VSEARCHquery
from seqenv.common.cache import property_cached
from seqenv.common.autopaths import FilePath
# Third party modules #
#######################################... | {
"repo_name": "xapple/seqenv",
"path": "seqenv/seqsearch/__init__.py",
"copies": "1",
"size": "4079",
"license": "mit",
"hash": -5993834104732816000,
"line_mean": 38.2307692308,
"line_max": 130,
"alpha_frac": 0.5981858299,
"autogenerated": false,
"ratio": 4.262277951933124,
"config_test": false... |
# Built-in modules #
import os, gzip
from collections import Counter
# Third party modules #
import sh, shutil
from Bio import SeqIO
#code mostly borrored from from Licas' gefes
##############################################################################
class FASTA:
"""A single FASTA file somewhere in the fil... | {
"repo_name": "moritzbuck/gefanto",
"path": "gefanto/filetypes/fasta.py",
"copies": "1",
"size": "2966",
"license": "mit",
"hash": 3227765874559758000,
"line_mean": 29.8958333333,
"line_max": 91,
"alpha_frac": 0.5640593392,
"autogenerated": false,
"ratio": 3.5563549160671464,
"config_test": fal... |
# Built-in modules #
import os, gzip
# Internal modules #
from gefes.common.color import Color
from gefes.common.cache import property_cached
from gefes.common import isubsample
from gefes.common.autopaths import FilePath
# Third party modules #
import sh, shutil
from Bio import SeqIO
###############################... | {
"repo_name": "inodb/gefes",
"path": "gefes/fasta/single.py",
"copies": "1",
"size": "3395",
"license": "mit",
"hash": -8813903970759879000,
"line_mean": 30.4444444444,
"line_max": 91,
"alpha_frac": 0.5608247423,
"autogenerated": false,
"ratio": 3.5925925925925926,
"config_test": false,
"has_... |
# built-in modules
import os
from itertools import chain
# installed modules
import numpy
from keras.callbacks import Callback
import keras.backend as K
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
# project modules
from .meta import time_formatter, timer
class NotSoChattyLogger(Callback)... | {
"repo_name": "lucasoldaini/python3-utils",
"path": "keras_utils.py",
"copies": "1",
"size": "4290",
"license": "unlicense",
"hash": 5109649305472094000,
"line_mean": 28.7777777778,
"line_max": 78,
"alpha_frac": 0.5377798507,
"autogenerated": false,
"ratio": 3.7482517482517483,
"config_test": f... |
# built-in modules
import os
import math
import shlex
import json
from subprocess import Popen, PIPE
from collections import OrderedDict
from tempfile import NamedTemporaryFile
TREC_EVAL_PATH = 'bin/trec_eval'
SAMPLE_EVAL_PATH = 'bin/sample_eval.pl'
UBIRE_PATH = 'bin/ubire-v0.1.0.jar'
def __guess_type(e):
try:
... | {
"repo_name": "lucasoldaini/python3-utils",
"path": "evalutils.py",
"copies": "1",
"size": "6617",
"license": "unlicense",
"hash": -7280302904725647000,
"line_mean": 27.3991416309,
"line_max": 78,
"alpha_frac": 0.5898443403,
"autogenerated": false,
"ratio": 3.5234291799787005,
"config_test": fa... |
# Built-in modules #
import os
# Internal modules #
from plumbing.autopaths import DirectoryPath
# Third party modules #
import sh
###############################################################################
class GitRepo(DirectoryPath):
"""A git repository with some convenience methods."""
def __init__(... | {
"repo_name": "DC23/plumbing",
"path": "plumbing/git.py",
"copies": "1",
"size": "1578",
"license": "mit",
"hash": -6199173780902190000,
"line_mean": 31.2040816327,
"line_max": 96,
"alpha_frac": 0.474017744,
"autogenerated": false,
"ratio": 4.00507614213198,
"config_test": false,
"has_no_keyw... |
# Built-in modules #
import os
# Third party modules #
import sh
###############################################################################
class GitRepo(object):
"""A git repository with some convenience methods."""
def __init__(self, path):
# Paths #
self.path = path
self.git_d... | {
"repo_name": "xapple/seqenv",
"path": "seqenv/common/git.py",
"copies": "1",
"size": "1622",
"license": "mit",
"hash": -8408559497125054000,
"line_mean": 32.1020408163,
"line_max": 101,
"alpha_frac": 0.5363748459,
"autogenerated": false,
"ratio": 3.5184381778741867,
"config_test": false,
"ha... |
# Built-in modules #
import os, platform, base64, shutil, gzip
from io import StringIO
# Internal modules #
from plumbing.common import camel_to_snake
from plumbing.cache import property_cached
from plumbing.databases.sqlite_database import SQLiteDatabase
# First party modules #
from autopaths.file_path import FilePa... | {
"repo_name": "xapple/plumbing",
"path": "plumbing/databases/access_database.py",
"copies": "1",
"size": "15234",
"license": "mit",
"hash": 457559017488141760,
"line_mean": 43.2877906977,
"line_max": 94,
"alpha_frac": 0.6379808323,
"autogenerated": false,
"ratio": 2.9719079204057746,
"config_te... |
# Built-in modules #
import os, re, multiprocessing
# Internal modules #
from plumbing.common import is_integer
# Third party modules #
################################################################################
def count_processors():
"""How many cores does the current computer have ?"""
if 'SLURM_NTAS... | {
"repo_name": "DC23/plumbing",
"path": "plumbing/slurm/__init__.py",
"copies": "1",
"size": "1437",
"license": "mit",
"hash": -5767373907491596000,
"line_mean": 43.9375,
"line_max": 86,
"alpha_frac": 0.4871259569,
"autogenerated": false,
"ratio": 3.9696132596685083,
"config_test": false,
"has... |
# Built-in modules #
import os, sh, glob, shutil, stat
# Internal modules #
from seqenv.common import unzip
from seqenv.common.cache import property_cached
################################################################################
class DirectoryPath(str):
def __repr__(self): return '<%s object "%s">' % (s... | {
"repo_name": "xapple/seqenv",
"path": "seqenv/common/autopaths.py",
"copies": "1",
"size": "10165",
"license": "mit",
"hash": 5515227326416499000,
"line_mean": 32.6622516556,
"line_max": 95,
"alpha_frac": 0.5781603542,
"autogenerated": false,
"ratio": 4.162571662571662,
"config_test": false,
... |
# Built-in modules #
import os, shutil, csv
from itertools import izip
# Internal modules #
from autopaths import FilePath
from tmpstuff import TmpFile
# Third party modules #
import sh, pandas
################################################################################
class CSVTable(FilePath):
d = ','
... | {
"repo_name": "DC23/plumbing",
"path": "plumbing/csv_tables.py",
"copies": "1",
"size": "2259",
"license": "mit",
"hash": -4484386512973677000,
"line_mean": 32.7313432836,
"line_max": 97,
"alpha_frac": 0.5595396193,
"autogenerated": false,
"ratio": 3.6494345718901453,
"config_test": false,
"h... |
# Built-in modules #
import os, sqlite3
# Internal modules #
from itertools import islice
# First party modules #
from plumbing.color import Color
################################################################################
def convert_to_sql(dest, keys, values, sql_field_types=None):
if sql_field_types is N... | {
"repo_name": "xapple/plumbing",
"path": "plumbing/databases/__init__.py",
"copies": "1",
"size": "2251",
"license": "mit",
"hash": 7087916991267976000,
"line_mean": 46.8936170213,
"line_max": 111,
"alpha_frac": 0.5730786317,
"autogenerated": false,
"ratio": 3.8877374784110534,
"config_test": f... |
# Built-in modules #
import os, sqlite3
# Internal modules #
from plumbing.color import Color
from plumbing.cache import property_cached
from plumbing.scraping import download_from_url
from autopaths.file_path import FilePath
# Third party modules #
import pandas
#########################################... | {
"repo_name": "xapple/plumbing",
"path": "plumbing/databases/sqlite_database.py",
"copies": "1",
"size": "14536",
"license": "mit",
"hash": 6585661331863096000,
"line_mean": 38.9340659341,
"line_max": 98,
"alpha_frac": 0.5704457898,
"autogenerated": false,
"ratio": 4.049025069637883,
"config_te... |
# Built-in modules #
import os, stat, tempfile, re, subprocess, shutil, codecs, gzip
import glob, warnings
# Internal modules #
from plumbing.common import append_to_file, prepend_to_file, md5sum, natural_sort
# Third party modules #
import sh
#########################################################################... | {
"repo_name": "DC23/plumbing",
"path": "plumbing/autopaths.py",
"copies": "1",
"size": "21402",
"license": "mit",
"hash": 6911978812820225000,
"line_mean": 34.7892976589,
"line_max": 96,
"alpha_frac": 0.5705074292,
"autogenerated": false,
"ratio": 4.040400226543326,
"config_test": false,
"has... |
# Built-in modules #
import os, stat, tempfile, re, subprocess, shutil
################################################################################
class AutoPaths(object):
"""
You can use this class like this when making pipelines:
class Sample(object):
all_paths = '''
... | {
"repo_name": "inodb/gefes",
"path": "gefes/common/autopaths.py",
"copies": "1",
"size": "9154",
"license": "mit",
"hash": 9153336729939751000,
"line_mean": 32.4087591241,
"line_max": 96,
"alpha_frac": 0.5337557352,
"autogenerated": false,
"ratio": 3.910294745835113,
"config_test": false,
"ha... |
# Built-in modules #
import os, stat, tempfile, subprocess, shutil, codecs, gzip
import glob, warnings, zipfile
# Internal modules #
from pydirdiff.plumbing.common import md5sum, natural_sort
# Third party modules #
import sh
################################################################################
class Dire... | {
"repo_name": "xapple/pydirdiff",
"path": "pydirdiff/plumbing/autopaths.py",
"copies": "1",
"size": "21656",
"license": "mit",
"hash": -429365676042539400,
"line_mean": 34.4435351882,
"line_max": 95,
"alpha_frac": 0.5783154784,
"autogenerated": false,
"ratio": 4.182309772112784,
"config_test": ... |
# Built-in modules #
import os, stat, time, shutil, re, getpass, base64, hashlib
from collections import OrderedDict
# Internal modules #
import gefes
from gefes.common import get_git_tag, flatten, tail
from gefes.common.color import Color
from gefes.common.tmpstuff import TmpFile
from gefes.common.cache import expiry... | {
"repo_name": "inodb/gefes",
"path": "gefes/common/slurm.py",
"copies": "1",
"size": "10854",
"license": "mit",
"hash": -5079825592541146000,
"line_mean": 44.7974683544,
"line_max": 119,
"alpha_frac": 0.5469872858,
"autogenerated": false,
"ratio": 3.642281879194631,
"config_test": false,
"has... |
# Built-in modules #
import os, sys
# Internal modules #
from pydirdiff.plumbing.autopaths import DirectoryPath
# Third party modules #
import sh
###############################################################################
class GitRepo(DirectoryPath):
"""A git repository with some convenience methods.
Re... | {
"repo_name": "xapple/pydirdiff",
"path": "pydirdiff/plumbing/git.py",
"copies": "1",
"size": "3529",
"license": "mit",
"hash": -7702243104043784000,
"line_mean": 33.6078431373,
"line_max": 101,
"alpha_frac": 0.5335789175,
"autogenerated": false,
"ratio": 3.7702991452991452,
"config_test": fals... |
# Built-in modules #
import os, sys, re, platform, threading, base64, hashlib
from collections import OrderedDict
# Internal modules #
from plumbing.slurm.existing import projects, jobs
from plumbing.common import tail, flatter
from plumbing.color import Color
from plumbing.tmpstuff import new_temp_path
from plumbing.... | {
"repo_name": "DC23/plumbing",
"path": "plumbing/slurm/job.py",
"copies": "1",
"size": "12551",
"license": "mit",
"hash": -7044767818798015000,
"line_mean": 46.0112359551,
"line_max": 121,
"alpha_frac": 0.5460122699,
"autogenerated": false,
"ratio": 3.7838408200180886,
"config_test": false,
"... |
# Built-in modules #
import os, sys, time, datetime
# Internal modules #
from gefes.common.color import Color
# Third party modules #
import threadpool
###############################################################################
class Runner(object):
"""General purpose runner"""
@property
def color(s... | {
"repo_name": "inodb/gefes",
"path": "gefes/running/__init__.py",
"copies": "1",
"size": "3140",
"license": "mit",
"hash": 1906847766153470700,
"line_mean": 37.7777777778,
"line_max": 174,
"alpha_frac": 0.5636942675,
"autogenerated": false,
"ratio": 3.6941176470588237,
"config_test": false,
"... |
# Built-in modules #
import os, sys, time, datetime
# Internal modules #
from plumbing.common import iflatten
from plumbing.color import Color
from plumbing.slurm.logged import LoggedJobSLURM
# Third party modules #
import threadpool
# Constants #
####################################################################... | {
"repo_name": "DC23/plumbing",
"path": "plumbing/runner.py",
"copies": "1",
"size": "5682",
"license": "mit",
"hash": 6004413312778602000,
"line_mean": 37.9178082192,
"line_max": 89,
"alpha_frac": 0.5198873636,
"autogenerated": false,
"ratio": 4.1173913043478265,
"config_test": false,
"has_no... |
# Built-in modules #
import os, time, getpass, locale
# Third party modules #
import matplotlib
################################################################################
class Graph(object):
def __init__(self, parent, base_dir=None, short_name=None):
self.parent = parent
# Base dir #
... | {
"repo_name": "inodb/gefes",
"path": "gefes/graphs/__init__.py",
"copies": "1",
"size": "1843",
"license": "mit",
"hash": -3450916625654301000,
"line_mean": 42.9047619048,
"line_max": 113,
"alpha_frac": 0.5735214324,
"autogenerated": false,
"ratio": 3.381651376146789,
"config_test": false,
"h... |
# Built-in modules #
import os, time, getpass
# Internal modules #
from common import split_thousands
from autopaths import FilePath
# Third party modules #
import matplotlib, brewer2mpl
matplotlib.use('Agg', warn=False)
from matplotlib import pyplot
# Constants #
cool_colors = brewer2mpl.get_map('Set1', 'qualitativ... | {
"repo_name": "DC23/plumbing",
"path": "plumbing/graphs.py",
"copies": "1",
"size": "4240",
"license": "mit",
"hash": 8152593040663134000,
"line_mean": 40.9801980198,
"line_max": 114,
"alpha_frac": 0.6037735849,
"autogenerated": false,
"ratio": 3.3865814696485623,
"config_test": false,
"has_n... |
# Built-in modules #
import os, time, inspect
import cPickle as pickle
# Internal modules #
from plumbing.autopaths import FilePath
# Third party modules #
from decorator import decorator
################################################################################
def property_cached(f):
"""Decorator for pro... | {
"repo_name": "DC23/plumbing",
"path": "plumbing/cache.py",
"copies": "1",
"size": "4219",
"license": "mit",
"hash": -1330015440856772600,
"line_mean": 38.0740740741,
"line_max": 89,
"alpha_frac": 0.541597535,
"autogenerated": false,
"ratio": 4.394791666666666,
"config_test": false,
"has_no_k... |
# Built-in modules #
import os, time
import dateutil.tz, datetime
# Internal modules #
from plumbing.common import get_git_tag
from plumbing.slurm.job import JobSLURM
from plumbing.autopaths import DirectoryPath
# Third party modules #
import sh
#######################################################################... | {
"repo_name": "DC23/plumbing",
"path": "plumbing/slurm/logged.py",
"copies": "1",
"size": "2825",
"license": "mit",
"hash": -7769029149451932000,
"line_mean": 41.1791044776,
"line_max": 107,
"alpha_frac": 0.5352212389,
"autogenerated": false,
"ratio": 4.118075801749272,
"config_test": false,
... |
# Built-in modules
import re
# Hand-made modules
from .base import DataFrameHandlerBase
REGEX_DROP_LABEL_NAME_PREFIXES = [
"weather_"
]
DROP_LABEL_NAMES = [
"weather",
"weather_detail",
"wind",
"wave"
]
REGEX_SHIFT_COL_NAME_PREFIXES = [
"pr_",
"max_iws_",
"ave_wv_",
"ave_ws_",
"m... | {
"repo_name": "gciteam6/xgboost",
"path": "src/features/time_series.py",
"copies": "1",
"size": "1518",
"license": "mit",
"hash": -6732276373271140000,
"line_mean": 21.6567164179,
"line_max": 76,
"alpha_frac": 0.5579710145,
"autogenerated": false,
"ratio": 3.2093023255813953,
"config_test": fal... |
# built-in modules
import re
import os
import shutil
import shlex
import subprocess
import tempfile
# project modules
from .hashing import hash_obj
from .core import is_windows
class TerrierOptions(object):
"""Store options for terrier"""
def __init__(self, _value=None, _parent=None, _name=None, **kwargs):
... | {
"repo_name": "lucasoldaini/python3-utils",
"path": "terrier.py",
"copies": "1",
"size": "4912",
"license": "unlicense",
"hash": -7182870903924017000,
"line_mean": 25.8415300546,
"line_max": 76,
"alpha_frac": 0.5513029316,
"autogenerated": false,
"ratio": 3.822568093385214,
"config_test": true,... |
# built-in modules
import re
import typing
# installed modules
import tqdm
import mxnet as mx
import mxnet.autograd
def get_context_from_string(ctx_str: str) -> mx.context.Context:
"""
Parse a mxnet Context object from string, e.g. 'gpu0'
to `mx.Context(mx.gpu(0))`.
:param ctx_str: The string to par... | {
"repo_name": "lucasoldaini/python3-utils",
"path": "mxnet_utils.py",
"copies": "1",
"size": "12239",
"license": "unlicense",
"hash": -8927362529916321000,
"line_mean": 30.3017902813,
"line_max": 79,
"alpha_frac": 0.5858321758,
"autogenerated": false,
"ratio": 3.881699968284174,
"config_test": ... |
# Built-in modules
import re
# Third-party modules
import pandas as pd
# Hand-made modules
from .base import DataFrameHandlerBase
FORECAST_FILE_PREFIX = "forecast/forecast_"
FORECAST_FILE_SUFFIX = ".tsv"
KWARGS_READ_CSV_FORECAST_FILE = {
"index_col": 0
}
FORECAST_REGIONS = {
"ukishima": "kanagawa",
"ougish... | {
"repo_name": "gciteam6/xgboost",
"path": "src/data/forecast.py",
"copies": "1",
"size": "4232",
"license": "mit",
"hash": -4069038361842948600,
"line_mean": 32.856,
"line_max": 100,
"alpha_frac": 0.5997164461,
"autogenerated": false,
"ratio": 3.2207001522070016,
"config_test": false,
"has_no... |
# Built-in modules #
import sqlite3
from itertools import islice
# Internal modules #
from color import Color
from autopaths import FilePath
from cache import property_cached
################################################################################
def convert_to_sql(source, dest, keys, values, sql_field_types... | {
"repo_name": "DC23/plumbing",
"path": "plumbing/database.py",
"copies": "1",
"size": "9827",
"license": "mit",
"hash": 8792383699832864000,
"line_mean": 42.482300885,
"line_max": 122,
"alpha_frac": 0.5775923476,
"autogenerated": false,
"ratio": 3.9947154471544715,
"config_test": false,
"has_... |
# Built-in modules #
import subprocess
# Internal modules #
from seqenv.seqsearch import SeqSearch
from seqenv.seqsearch.blast import BLASTquery
from seqenv.seqsearch.vsearch import VSEARCHquery
from seqenv.common.cache import property_cached
from seqenv.fasta.splitable import SplitableFASTA
# Third party modules #
... | {
"repo_name": "xapple/seqenv",
"path": "seqenv/seqsearch/parallel.py",
"copies": "1",
"size": "2622",
"license": "mit",
"hash": -4214191530227104300,
"line_mean": 36.4714285714,
"line_max": 111,
"alpha_frac": 0.6254767353,
"autogenerated": false,
"ratio": 4.01531393568147,
"config_test": false,... |
# Built-in modules #
import subprocess, sys
# Constants #
module_names = {
"biopython": "Bio",
"ipython": "IPython",
"scikit-learn": "sklearn",
"scikit-bio": "skbio",
"biom-formt": "biom",
}
################################################################################
def check_setu... | {
"repo_name": "DC23/plumbing",
"path": "plumbing/dependencies.py",
"copies": "1",
"size": "1590",
"license": "mit",
"hash": 4994590367841082000,
"line_mean": 38.775,
"line_max": 98,
"alpha_frac": 0.5270440252,
"autogenerated": false,
"ratio": 4.151436031331593,
"config_test": false,
"has_no_k... |
# Built-in modules #
import subprocess, sys
# Required modules #
modules = ['Bio', 'matplotlib', 'sh', 'pandas', 'statsmodels', 'threadpool']
# Required executables #
executables = ['sickle']
################################################################################
# We might be missing some executables #
def... | {
"repo_name": "inodb/gefes",
"path": "gefes/common/dependencies.py",
"copies": "1",
"size": "1425",
"license": "mit",
"hash": 5711444182391149000,
"line_mean": 38.6111111111,
"line_max": 98,
"alpha_frac": 0.5803508772,
"autogenerated": false,
"ratio": 4.253731343283582,
"config_test": false,
... |
# Built-in modules #
import sys
################################################################################
class RedirectStdStreams(object):
"""
See file `plumbing/test/redirect/test_redirect.py`
"""
def __init__(self, stdout=None, stderr=None):
self._stdout = stdout or sys.stdout
... | {
"repo_name": "xapple/plumbing",
"path": "plumbing/redirect.py",
"copies": "1",
"size": "2187",
"license": "mit",
"hash": 7344841924014947000,
"line_mean": 34.2741935484,
"line_max": 87,
"alpha_frac": 0.5564700503,
"autogenerated": false,
"ratio": 4.213872832369942,
"config_test": false,
"has... |
# Built-in modules #
import sys, os, time, shutil, re, random
# Third party modules #
import sh
################################################################################
def average(iterator):
"""Iterative mean"""
count = 0
total = 0
for num in numbers:
count += 1
total += num
... | {
"repo_name": "inodb/gefes",
"path": "gefes/common/__init__.py",
"copies": "1",
"size": "5943",
"license": "mit",
"hash": 9070529171623874000,
"line_mean": 35.4662576687,
"line_max": 114,
"alpha_frac": 0.4581861013,
"autogenerated": false,
"ratio": 4.064979480164158,
"config_test": false,
"ha... |
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