text stringlengths 0 1.05M | meta dict |
|---|---|
from __future__ import (absolute_import, division,
print_function, unicode_literals)
exec(open("ground.py").read())
#
# mine
import hamiltonian
import diffeo
import sde
from utility import *
#
def run(dict,canload=0):
"""
Qr=dict['landmarks'][0,:,:]
Apply push-forward map to sample ... | {
"repo_name": "tonyshardlow/reg_sde",
"path": "run_split2_add.py",
"copies": "1",
"size": "2420",
"license": "mit",
"hash": 1280729964433312500,
"line_mean": 27.1395348837,
"line_max": 92,
"alpha_frac": 0.5429752066,
"autogenerated": false,
"ratio": 3.1065468549422337,
"config_test": false,
"... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from builtins import *
from future.utils import iteritems
import inspect
from datacheck.compat import native_type
from datacheck.exceptions import (SchemaError, TypeValidationError,
... | {
"repo_name": "csdev/datacheck",
"path": "datacheck/core.py",
"copies": "1",
"size": "4116",
"license": "mit",
"hash": 7225076665113634000,
"line_mean": 27.1917808219,
"line_max": 74,
"alpha_frac": 0.583819242,
"autogenerated": false,
"ratio": 4.25206611570248,
"config_test": false,
"has_no_k... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from builtins import *
from future.utils import python_2_unicode_compatible
from datacheck.compat import native_data_type
from datacheck.path import path_to_str
class DatacheckException(Exception):
pass
... | {
"repo_name": "csdev/datacheck",
"path": "datacheck/exceptions.py",
"copies": "1",
"size": "2417",
"license": "mit",
"hash": -3543301879415149000,
"line_mean": 27.7738095238,
"line_max": 69,
"alpha_frac": 0.6123293339,
"autogenerated": false,
"ratio": 3.936482084690554,
"config_test": false,
... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from builtins import *
import six
from abc import ABCMeta, abstractmethod, abstractproperty
import torch
@six.add_metaclass(ABCMeta)
class AbstractWorld:
@abstractmethod
def step(self, *args):
p... | {
"repo_name": "sig-ai/SDM",
"path": "sdm/abstract/core.py",
"copies": "1",
"size": "1371",
"license": "mit",
"hash": -7187869851500013000,
"line_mean": 17.28,
"line_max": 58,
"alpha_frac": 0.6134208607,
"autogenerated": false,
"ratio": 4.129518072289157,
"config_test": false,
"has_no_keywords... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from builtins import *
__author__ = 'Sander Bollen'
import locale
import os.path
import logging
from .generics import *
from .models import *
ENCODING = locale.getdefaultlocale()[1]
class Reader(object):
... | {
"repo_name": "sndrtj/pyrefflat",
"path": "pyrefflat/parser.py",
"copies": "1",
"size": "9535",
"license": "mit",
"hash": 1086052792625860500,
"line_mean": 32.9359430605,
"line_max": 120,
"alpha_frac": 0.5829050865,
"autogenerated": false,
"ratio": 4.122351923908344,
"config_test": false,
"ha... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from builtins import *
from flask import Flask
from commitsan.hooks_app import app as hooks
frontend = Flask(__name__)
frontend.config['DEBUG'] = True
class CombiningMiddleware(object):
"""Allows one t... | {
"repo_name": "abusalimov/commitsan",
"path": "commitsan/web_app.py",
"copies": "1",
"size": "1160",
"license": "mit",
"hash": -8525677558714258000,
"line_mean": 25.3636363636,
"line_max": 78,
"alpha_frac": 0.6189655172,
"autogenerated": false,
"ratio": 4.233576642335766,
"config_test": false,
... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from builtins import *
from future.utils import native
from past.builtins import basestring as _basestring
# The future module redefines certain built-in types so that our python3
# code is also compatible wi... | {
"repo_name": "csdev/datacheck",
"path": "datacheck/compat.py",
"copies": "1",
"size": "1197",
"license": "mit",
"hash": 5608630450762224000,
"line_mean": 28.1951219512,
"line_max": 81,
"alpha_frac": 0.6883876358,
"autogenerated": false,
"ratio": 3.4297994269340975,
"config_test": false,
"has... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from builtins import *
from .generics import *
class Exon(object):
"""
This class defines an exon inside a record
"""
__slots__ = ["_gene", "_transcript", "_chr", "_start", "_end", "_number"]
... | {
"repo_name": "sndrtj/pyrefflat",
"path": "pyrefflat/models.py",
"copies": "1",
"size": "4572",
"license": "mit",
"hash": -3593755624257228300,
"line_mean": 27.9367088608,
"line_max": 101,
"alpha_frac": 0.5330271216,
"autogenerated": false,
"ratio": 3.7691673536685903,
"config_test": false,
"... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from builtins import *
from github import ApiError
from commitsan.github import github, GITHUB_BLOB_URL_TMPL
from commitsan.worker import job
CONTRIBUTING_FILENAME = 'CONTRIBUTING.md'
def output(*args, **kw... | {
"repo_name": "abusalimov/commitsan",
"path": "commitsan/report.py",
"copies": "1",
"size": "1215",
"license": "mit",
"hash": -8307745388300749000,
"line_mean": 36.96875,
"line_max": 79,
"alpha_frac": 0.6255144033,
"autogenerated": false,
"ratio": 4.063545150501672,
"config_test": false,
"has... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from builtins import *
import collections
import itertools
import regex as re
import textwrap
from commitsan.checks import checker
from commitsan.git import git_show
def split_lines(s):
return [line.stri... | {
"repo_name": "abusalimov/commitsan",
"path": "commitsan/checks/msg.py",
"copies": "1",
"size": "16941",
"license": "mit",
"hash": -481625284503234900,
"line_mean": 23.9499263623,
"line_max": 79,
"alpha_frac": 0.4892863467,
"autogenerated": false,
"ratio": 3.6315112540192924,
"config_test": fal... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from builtins import *
import errno
import os
import sys
import subprocess
from subprocess import CalledProcessError
REPOS_PATH = os.path.abspath('repos')
# http://stackoverflow.com/a/600612/545027
def mkdir... | {
"repo_name": "abusalimov/commitsan",
"path": "commitsan/git.py",
"copies": "1",
"size": "1573",
"license": "mit",
"hash": -3330044426273844700,
"line_mean": 26.5964912281,
"line_max": 76,
"alpha_frac": 0.6102987921,
"autogenerated": false,
"ratio": 3.4571428571428573,
"config_test": false,
"... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from builtins import *
import numpy as np
from pois import *
# Results from Noll (1976)
Noll=[1.0299,0.582,0.134,0.111,0.0880,0.0648,0.0587,0.0525,0.0463,0.0401,0.0377,0.0352,0.0328,0.0304,0.0279,0.0267,0.0255... | {
"repo_name": "dbuscher/pois",
"path": "tests/test_ao.py",
"copies": "1",
"size": "1321",
"license": "bsd-2-clause",
"hash": 3197986659371759600,
"line_mean": 40.28125,
"line_max": 150,
"alpha_frac": 0.6896290689,
"autogenerated": false,
"ratio": 2.5901960784313727,
"config_test": false,
"has... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from builtins import *
import numpy as np
from .Zernike import ZernikeGrid
from .PhaseScreen import ScreenGenerator
import functools
import sys
__version__="0.4.0"
def PhaseScreens(numTelescope,r0,pupilSize,... | {
"repo_name": "dbuscher/pois",
"path": "pois/__init__.py",
"copies": "1",
"size": "4167",
"license": "bsd-2-clause",
"hash": 3497524458463220000,
"line_mean": 35.2347826087,
"line_max": 82,
"alpha_frac": 0.7012239021,
"autogenerated": false,
"ratio": 3.222737819025522,
"config_test": false,
"... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from builtins import *
import os
from hookserver import HookServer
from commitsan import repos
from commitsan.github import github
github_webhook_secret = os.environ.get('GITHUB_WEBHOOK_SECRET')
if not githu... | {
"repo_name": "abusalimov/commitsan",
"path": "commitsan/hooks_app.py",
"copies": "1",
"size": "1612",
"license": "mit",
"hash": 703870169976489500,
"line_mean": 30.6078431373,
"line_max": 78,
"alpha_frac": 0.6160049628,
"autogenerated": false,
"ratio": 3.7401392111368907,
"config_test": false,... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from builtins import *
__author__ = 'Sander Bollen'
COLUMNS = ["geneName", "name", "chrom", "strand", "txStart", "txEnd",
"cdsStart", "cdsEnd", "exonCount", "exonStarts", "exonEnds"]
NO_EXON_COLU... | {
"repo_name": "sndrtj/pyrefflat",
"path": "pyrefflat/generics.py",
"copies": "1",
"size": "1037",
"license": "mit",
"hash": 2446556390142052400,
"line_mean": 28.6285714286,
"line_max": 87,
"alpha_frac": 0.5949855352,
"autogenerated": false,
"ratio": 3.1615853658536586,
"config_test": false,
"... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from builtins import *
import OpenEXR, Imath
import numpy as np
from collections import defaultdict
import os
FLOAT = Imath.PixelType(Imath.PixelType.FLOAT)
HALF = Imath.PixelType(Imath.PixelType.HALF)
UINT ... | {
"repo_name": "tvogels/pyexr",
"path": "pyexr/exr.py",
"copies": "1",
"size": "9429",
"license": "mit",
"hash": -1979205115625419500,
"line_mean": 32.0842105263,
"line_max": 123,
"alpha_frac": 0.6401527203,
"autogenerated": false,
"ratio": 3.574298711144807,
"config_test": false,
"has_no_keyw... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from builtins import *
__metaclass__ = type
try:
# Python 2
from itertools import izip
except ImportError:
# Python 3
izip = zip
try:
# Python 2
from itertools import izip_longest as ... | {
"repo_name": "friend0/tower",
"path": "tower/utils/utils.py",
"copies": "1",
"size": "1656",
"license": "isc",
"hash": -2757541571328621600,
"line_mean": 22,
"line_max": 60,
"alpha_frac": 0.5911835749,
"autogenerated": false,
"ratio": 3.7636363636363637,
"config_test": false,
"has_no_keyword... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from builtins import *
"""
qutip_conv
==========
QuTiP / tncontract conversions.
Functionality for converting between `qutip.Qobj` and `Tensor`.
Requires `qutip`.
"""
import numpy as np
import qutip as qt... | {
"repo_name": "andrewdarmawan/tncontract",
"path": "tncontract/qutip_conv.py",
"copies": "1",
"size": "5459",
"license": "mit",
"hash": 8572781504548674000,
"line_mean": 29.6685393258,
"line_max": 79,
"alpha_frac": 0.6164132625,
"autogenerated": false,
"ratio": 3.528765352294764,
"config_test":... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from builtins import ( # NOQA
bytes, dict, int, list, object, range, str,
ascii, chr, hex, input, next, oct, open,
pow, round, super,
filter, map, zip)
from termcolor import... | {
"repo_name": "jonhoo/python-agenda",
"path": "agenda/__init__.py",
"copies": "1",
"size": "1403",
"license": "mit",
"hash": 9056076559109853000,
"line_mean": 20.921875,
"line_max": 57,
"alpha_frac": 0.4775481112,
"autogenerated": false,
"ratio": 3.9189944134078214,
"config_test": false,
"has... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from collections import namedtuple
from future.builtins import ( # noqa
bytes, dict, int, list, object, range, str,
ascii, chr, hex, input, next, oct, open,
pow, round, super,
filter, map, zip)
... | {
"repo_name": "totem/cluster-deployer",
"path": "tests/unit/services/test_health.py",
"copies": "1",
"size": "2690",
"license": "mit",
"hash": -8542052839614012000,
"line_mean": 28.2391304348,
"line_max": 68,
"alpha_frac": 0.5791821561,
"autogenerated": false,
"ratio": 3.7994350282485874,
"conf... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from copy import copy
from textwrap import dedent
from wtforms import (validators, StringField, SubmitField, FileField,
IntegerField, SelectField, FieldList, FormField,
... | {
"repo_name": "bloer/bgexplorer",
"path": "bgexplorer/modeleditor/forms.py",
"copies": "1",
"size": "14255",
"license": "bsd-2-clause",
"hash": 4597161435493207600,
"line_mean": 43.4080996885,
"line_max": 104,
"alpha_frac": 0.5787443002,
"autogenerated": false,
"ratio": 4.7485009993337775,
"con... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from flask import (Blueprint, render_template, render_template_string,
request, abort, url_for, g, json, flash, redirect,
Response, get_flashed_messages, current_app)
from ... | {
"repo_name": "bloer/bgexplorer",
"path": "bgexplorer/simsviewer/simsviewer.py",
"copies": "1",
"size": "7569",
"license": "bsd-2-clause",
"hash": -195944395584794600,
"line_mean": 37.2272727273,
"line_max": 84,
"alpha_frac": 0.5562161448,
"autogenerated": false,
"ratio": 4.410839160839161,
"co... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from future.builtins import *
import unittest
from yandex_money.api import Wallet
from .constants import CLIENT_ID, ACCESS_TOKEN
class WalletTestSuite(unittest.TestCase):
def setUp(self):
super(Wa... | {
"repo_name": "yandex-money/yandex-money-sdk-python",
"path": "tests/testWallet.py",
"copies": "1",
"size": "3092",
"license": "mit",
"hash": 5586738745187833000,
"line_mean": 30.5510204082,
"line_max": 71,
"alpha_frac": 0.5795601552,
"autogenerated": false,
"ratio": 4.111702127659575,
"config_... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from future.builtins import *
from blockext import *
import sphero
__version__ = '0.2.1'
class Sphero:
def __init__(self):
self.robot = sphero.Sphero()
self.robot.connect()
self.n... | {
"repo_name": "blockext/sphero",
"path": "__init__.py",
"copies": "1",
"size": "1738",
"license": "mit",
"hash": -1661544438369770200,
"line_mean": 25.7384615385,
"line_max": 104,
"alpha_frac": 0.5506329114,
"autogenerated": false,
"ratio": 3.598343685300207,
"config_test": false,
"has_no_key... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
#from future.builtins import *
from .blocks import Block, Input
from .languages import language_codes
class Program(object):
"""For exporting blocks to a specfic block language."""
name = "Program" #... | {
"repo_name": "ilmanzo/scratch_extensions",
"path": "venv/lib/python3.4/site-packages/blockext/generate.py",
"copies": "1",
"size": "7598",
"license": "mit",
"hash": -3068451133420673500,
"line_mean": 31.1949152542,
"line_max": 81,
"alpha_frac": 0.5011845222,
"autogenerated": false,
"ratio": 4.24... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from future.builtins import *
from future.moves.urllib.parse import urlparse, urlencode
import requests
from . import exceptions
class BasePayment(object):
MONEY_URL = "https://money.yandex.ru"
SP_MON... | {
"repo_name": "raymank26/yandex-money-sdk-python",
"path": "yandex_money/api.py",
"copies": "1",
"size": "4061",
"license": "mit",
"hash": 777057204400781400,
"line_mean": 31.75,
"line_max": 80,
"alpha_frac": 0.5968973159,
"autogenerated": false,
"ratio": 4.077309236947791,
"config_test": false... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
#from future.builtins import *
import os
import re
class Block(object):
_highest_id = 0
def __init__(self, selector, shape, parts_or_spec, is_blocking=False,
help_text="", defaults=[]):
... | {
"repo_name": "ilmanzo/scratch_extensions",
"path": "venv/lib/python3.4/site-packages/blockext/blocks.py",
"copies": "1",
"size": "7819",
"license": "mit",
"hash": 8718690200306638000,
"line_mean": 29.0730769231,
"line_max": 79,
"alpha_frac": 0.544570917,
"autogenerated": false,
"ratio": 4.091575... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
#from future.builtins import *
"""Library for writing Scratch 2.0 and Snap! extensions.
Blockext provides two things:
- automatic generation of extension files for both Scratch and Snap! from
blocks defined... | {
"repo_name": "ilmanzo/scratch_extensions",
"path": "venv/lib/python3.4/site-packages/blockext/__init__.py",
"copies": "1",
"size": "1824",
"license": "mit",
"hash": 5955652564398279000,
"line_mean": 27.0615384615,
"line_max": 73,
"alpha_frac": 0.6326754386,
"autogenerated": false,
"ratio": 3.823... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from future.builtins import ( # noqa
bytes, dict, int, list, object, range, str,
ascii, chr, hex, input, next, oct, open,
pow, round, super,
filter, map, zip)
from nose.tools import eq_, ok_
fro... | {
"repo_name": "totem/cluster-deployer",
"path": "tests/unit/services/test_security.py",
"copies": "1",
"size": "2094",
"license": "mit",
"hash": -3378675459002436600,
"line_mean": 28.9142857143,
"line_max": 64,
"alpha_frac": 0.647086915,
"autogenerated": false,
"ratio": 3.4440789473684212,
"con... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from future.moves.urllib.parse import urlencode
import requests
from . import exceptions
# change it to debug/demo hosts
config = {
'MONEY_URL': "https://money.yandex.ru",
}
class BasePayment(object):
... | {
"repo_name": "yandex-money/yandex-money-sdk-python",
"path": "yandex_money/api.py",
"copies": "1",
"size": "12797",
"license": "mit",
"hash": 7880417883619010000,
"line_mean": 37.7787878788,
"line_max": 91,
"alpha_frac": 0.5663046026,
"autogenerated": false,
"ratio": 4.996876220226474,
"config... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from future.utils import iteritems
from datetime import datetime
import osisoftpy # main package
from dateutil import parser
# x = parser.parse(None)
# print(x)
# print(None if x == None else x.strftime('%Y%m%... | {
"repo_name": "dstcontrols/osisoftpy",
"path": "examples/insert_data_to_tags.py",
"copies": "1",
"size": "3533",
"license": "apache-2.0",
"hash": -313731113144642500,
"line_mean": 31.1181818182,
"line_max": 122,
"alpha_frac": 0.6592131333,
"autogenerated": false,
"ratio": 3.151650312221231,
"co... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import base64
from future.builtins import ( # noqa
bytes, dict, int, list, object, range, str,
ascii, chr, hex, input, next, oct, open,
pow, round, super,
filter, map, zip)
import requests
impor... | {
"repo_name": "totem/config",
"path": "configservice/cluster_config/github.py",
"copies": "1",
"size": "4187",
"license": "mit",
"hash": -6387497151172016000,
"line_mean": 33.0406504065,
"line_max": 79,
"alpha_frac": 0.5581561978,
"autogenerated": false,
"ratio": 4.263747454175153,
"config_test... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import json
from parser import ParserError
from future.builtins import ( # noqa
bytes, dict, int, list, object, range, str,
ascii, chr, hex, input, next, oct, open,
pow, round, super,
filter, m... | {
"repo_name": "totem/cluster-orchestrator",
"path": "tests/unit/orchestrator/services/test_config.py",
"copies": "1",
"size": "18737",
"license": "mit",
"hash": -5665225141035386000,
"line_mean": 25.7671428571,
"line_max": 79,
"alpha_frac": 0.5002401665,
"autogenerated": false,
"ratio": 4.0512432... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import numpy as np
import sys, time
from astropy.table import Table
from . import loki
def prob(sub1 = None, sub2 = None, RAs1 = None, DECs1 = None, RAs2 = None, DECs2 = None,
dists1 = None, dists2 = ... | {
"repo_name": "ctheissen/LoKi",
"path": "loki/binary_probability.py",
"copies": "1",
"size": "14320",
"license": "mit",
"hash": 5019688978316929000,
"line_mean": 41.619047619,
"line_max": 119,
"alpha_frac": 0.475698324,
"autogenerated": false,
"ratio": 3.420926899187769,
"config_test": false,
... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import os
import boto
from boto.s3.key import Key
from future.builtins import ( # noqa
bytes, dict, int, list, object, range, str,
ascii, chr, hex, input, next, oct, open,
pow, round, super,
fil... | {
"repo_name": "totem/config",
"path": "tests/integration/configservice/cluster_config/test_s3.py",
"copies": "1",
"size": "2834",
"license": "mit",
"hash": -8739348841973782000,
"line_mean": 31.5747126437,
"line_max": 79,
"alpha_frac": 0.6104446013,
"autogenerated": false,
"ratio": 3.546933667083... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import os
import numpy as np
import scipy.linalg
from warnings import warn
# Here comes the fast implementation:
try:
from _block_diag_ilu import PyILU
except ImportError:
if os.environ.get("USE_FAST_FA... | {
"repo_name": "chemreac/block_diag_ilu",
"path": "python_prototype/fakelu.py",
"copies": "1",
"size": "9838",
"license": "bsd-2-clause",
"hash": -7718856516726367000,
"line_mean": 33.7632508834,
"line_max": 129,
"alpha_frac": 0.4699125839,
"autogenerated": false,
"ratio": 3.100535770564135,
"co... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import os
import string
REMOVE_PUNCT_TABLE = str.maketrans(
string.punctuation, ' ' * len(string.punctuation))
class Corpus(object):
'''Memory Friendly Corpus Reader'''
def __init__(self,... | {
"repo_name": "latorrefabian/topmine",
"path": "topmine/corpus.py",
"copies": "1",
"size": "4415",
"license": "bsd-2-clause",
"hash": -2342320210285858300,
"line_mean": 34.0396825397,
"line_max": 82,
"alpha_frac": 0.5716874292,
"autogenerated": false,
"ratio": 4.58939708939709,
"config_test": f... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import os
import subprocess
from django_linter.checkers.settings import SettingsShecker
from django_linter.checkers.models import ModelsChecker
from django_linter.checkers.misc import MiscChecker
from django_li... | {
"repo_name": "geerk/django_linter",
"path": "generate_readme.py",
"copies": "1",
"size": "2505",
"license": "mit",
"hash": 5119779267303338000,
"line_mean": 24.824742268,
"line_max": 122,
"alpha_frac": 0.6315369261,
"autogenerated": false,
"ratio": 3.75,
"config_test": false,
"has_no_keyword... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import os
import sys
from datetime import datetime
import tarfile
import tempfile
from optparse import make_option
import re
from django.conf import settings
from django.core.management.base import BaseCommand
... | {
"repo_name": "typecode/django-dbbackup",
"path": "dbbackup/management/commands/mediabackup.py",
"copies": "3",
"size": "4897",
"license": "bsd-3-clause",
"hash": -4707936916178057000,
"line_mean": 35.552238806,
"line_max": 121,
"alpha_frac": 0.6128241781,
"autogenerated": false,
"ratio": 4.00408... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import os
import tempfile
import string
import math
import re
import unicodedata
import pdb
from collections import Counter
from itertools import chain
from heapq import heappush, heappop, heapify
NORMALIZE_PU... | {
"repo_name": "latorrefabian/topmine",
"path": "topmine/tokenizer.py",
"copies": "1",
"size": "7046",
"license": "bsd-2-clause",
"hash": 1510086413674108200,
"line_mean": 35.5077720207,
"line_max": 80,
"alpha_frac": 0.5797615668,
"autogenerated": false,
"ratio": 3.996596710153148,
"config_test"... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import random
import sys
import numpy as np
class Discrete(object):
"""
Discrete space from [0, dims-1]
"""
def __init__(self, dims):
self._dims = dims
def sample(self):
"... | {
"repo_name": "sig-ai/SDM",
"path": "sdm/abstract/types.py",
"copies": "1",
"size": "1936",
"license": "mit",
"hash": -1538342591894962000,
"line_mean": 21.2528735632,
"line_max": 109,
"alpha_frac": 0.5671487603,
"autogenerated": false,
"ratio": 3.856573705179283,
"config_test": false,
"has_n... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import six
from matplotlib import pyplot as plt
import numpy as np
from matplotlib.legend_handler import HandlerLineCollection
import matplotlib.collections as mcol
from matplotlib.lines import Line2D
class Ha... | {
"repo_name": "bundgus/python-playground",
"path": "matplotlib-playground/examples/pylab_examples/legend_demo5.py",
"copies": "1",
"size": "2723",
"license": "mit",
"hash": -7500364954340138000,
"line_mean": 37.3521126761,
"line_max": 78,
"alpha_frac": 0.5989717224,
"autogenerated": false,
"ratio... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import sys
import logging
import csv
import os
import subprocess
import multiprocessing
import platform
import time
import shutil
import gzip
import edlib
import pandas as pd
from builtins import range
from Bio ... | {
"repo_name": "nextgenusfs/ufits",
"path": "amptk/amptklib.py",
"copies": "1",
"size": "84854",
"license": "bsd-2-clause",
"hash": 4554148208261997600,
"line_mean": 38.5958936071,
"line_max": 259,
"alpha_frac": 0.5360855116,
"autogenerated": false,
"ratio": 3.5844210704177755,
"config_test": fa... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import sys
import os
install = False
base_path = os.path.dirname(os.path.realpath(__file__))
sys.path.append(os.path.join(base_path, 'python'))
if len(sys.argv) >= 2 and sys.argv[1] == '--install':
install_o... | {
"repo_name": "Giannie/atom-microbit-python",
"path": "lib/microbit-python.py",
"copies": "1",
"size": "1178",
"license": "mit",
"hash": 3028820889007108600,
"line_mean": 30,
"line_max": 121,
"alpha_frac": 0.5925297114,
"autogenerated": false,
"ratio": 3.4955489614243325,
"config_test": false,
... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
__all__ = ['save_to_regions', 'save_galaxy_to_regions', 'save_to_dsim']
from itertools import cycle
import numpy as np
from astropy.coordinates import SkyCoord
from astropy import units as u
from .utils impor... | {
"repo_name": "adwasser/masktools",
"path": "masktools/superskims/outputs.py",
"copies": "1",
"size": "4094",
"license": "mit",
"hash": -3929564301761052000,
"line_mean": 45.5227272727,
"line_max": 104,
"alpha_frac": 0.5217391304,
"autogenerated": false,
"ratio": 3.1371647509578544,
"config_tes... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from ast import literal_eval
from builtins import *
from future.utils import iteritems
import os
import json
import logging
from brave.palettes import *
from brave.notebook_display import *
ipython = try_imp... | {
"repo_name": "chorusai/brave",
"path": "brave/_brave.py",
"copies": "1",
"size": "9141",
"license": "apache-2.0",
"hash": 23207818562231096,
"line_mean": 31.3003533569,
"line_max": 127,
"alpha_frac": 0.5722568647,
"autogenerated": false,
"ratio": 3.5361702127659576,
"config_test": false,
"ha... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from astroid import MANAGER, Class, Instance, Function, Arguments, Pass
def transform_model_class(cls):
if cls.is_subtype_of('django.db.models.base.Model'):
core_exceptions = MANAGER.ast_from_modu... | {
"repo_name": "geerk/django_linter",
"path": "django_linter/transformers/models.py",
"copies": "1",
"size": "2345",
"license": "mit",
"hash": 7649735360608835000,
"line_mean": 45.9,
"line_max": 80,
"alpha_frac": 0.5356076759,
"autogenerated": false,
"ratio": 4.69,
"config_test": false,
"has_n... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from astroid import MANAGER
from astroid.builder import AstroidBuilder
BASE_REQUEST_DEFINITION = """
from django.http import HttpResponse, HttpRequest
def request(self, *args, **kwargs):
resp = HttpRespon... | {
"repo_name": "geerk/django_linter",
"path": "django_linter/transformers/testing.py",
"copies": "1",
"size": "1215",
"license": "mit",
"hash": 1876369248286100500,
"line_mean": 33.7142857143,
"line_max": 70,
"alpha_frac": 0.6839506173,
"autogenerated": false,
"ratio": 3.5526315789473686,
"confi... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from astropy.coordinates import SkyCoord
from astropy import units as u
__all__ = ['table_to_regions']
def table_to_regions(table, writeto=None, color='red'):
'''
Parameters
----------
table ... | {
"repo_name": "adwasser/masktools",
"path": "masktools/stars/outputs.py",
"copies": "1",
"size": "1051",
"license": "mit",
"hash": -6111002348045318000,
"line_mean": 29.9117647059,
"line_max": 97,
"alpha_frac": 0.5451950523,
"autogenerated": false,
"ratio": 3.445901639344262,
"config_test": fal... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from builtins import (ascii, bytes, chr, dict, filter, hex, input,
int, map, next, oct, open, pow, range, round,
str, super, zip)
from hexagondisasm import common
fr... | {
"repo_name": "programa-stic/hexag00n",
"path": "hexagondisasm/decoder.py",
"copies": "1",
"size": "11204",
"license": "bsd-2-clause",
"hash": -6031173822719517000,
"line_mean": 40.8059701493,
"line_max": 118,
"alpha_frac": 0.5948768297,
"autogenerated": false,
"ratio": 4.755517826825128,
"conf... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from collections import defaultdict
from copy import deepcopy
import datetime
from decimal import Decimal
from future.utils import iteritems, iterkeys, itervalues
import inspect
import json
import os
from past.... | {
"repo_name": "Rhathe/fixtureupper",
"path": "fixtureupper/model.py",
"copies": "1",
"size": "12419",
"license": "mit",
"hash": -1515020694854973000,
"line_mean": 33.8848314607,
"line_max": 118,
"alpha_frac": 0.5932039617,
"autogenerated": false,
"ratio": 4.117705570291777,
"config_test": false... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from copy import deepcopy
import datetime
from decimal import Decimal
from future.utils import iteritems
import inspect
import json
import operator
import os
from random import Random
from six import with_metac... | {
"repo_name": "Rhathe/fixtureupper",
"path": "fixtureupper/base.py",
"copies": "1",
"size": "3259",
"license": "mit",
"hash": -2018741662184129300,
"line_mean": 28.8990825688,
"line_max": 93,
"alpha_frac": 0.615526235,
"autogenerated": false,
"ratio": 4.109709962168979,
"config_test": false,
... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from gatspy.periodic import LombScargleFast
from gatspy.periodic import LombScargle
import matplotlib.pyplot as plt
import mousestyles.data as data
from mousestyles.visualization.plot_lomb_scargle import lombsc... | {
"repo_name": "togawa28/mousestyles",
"path": "mousestyles/ultradian/__init__.py",
"copies": "3",
"size": "26924",
"license": "bsd-2-clause",
"hash": -9176317693295174000,
"line_mean": 39.1251862891,
"line_max": 79,
"alpha_frac": 0.5833085723,
"autogenerated": false,
"ratio": 3.7603351955307263,
... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from itertools import cycle
import numpy as np
import matplotlib as mpl
from matplotlib import pyplot as plt
from .utils import mask_to_sky
__all__ = ['plot_mask', 'plot_galaxy']
def slit_patches(mask, color... | {
"repo_name": "adwasser/masktools",
"path": "masktools/superskims/plotting.py",
"copies": "1",
"size": "3437",
"license": "mit",
"hash": 4474493122683881500,
"line_mean": 34.8020833333,
"line_max": 80,
"alpha_frac": 0.5423334303,
"autogenerated": false,
"ratio": 3.135948905109489,
"config_test"... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from itertools import groupby
import pkg_resources
import re
import sys
try:
import simplejson as json
json # silences pyflakes :<
except ImportError:
import json
GRAPHS = {}
DICTIONARY_MATCHERS ... | {
"repo_name": "moreati/python-zxcvbn",
"path": "zxcvbn/matching.py",
"copies": "1",
"size": "18275",
"license": "mit",
"hash": -609420198228645100,
"line_mean": 32.7800369686,
"line_max": 120,
"alpha_frac": 0.4584404925,
"autogenerated": false,
"ratio": 4.065628476084538,
"config_test": false,
... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from jumpdir.directories import Directories
from jumpdir.pathfinder import PathFinder
from jumpdir.bookmarks import Bookmarks
import argparse
import os
import sys
HOME = os.getenv('HOME')
DATA_DIR = os.path.j... | {
"repo_name": "cgmcintyr/jumpdir",
"path": "jumpdir/main.py",
"copies": "2",
"size": "3041",
"license": "mit",
"hash": 9053473243663789000,
"line_mean": 28.8137254902,
"line_max": 84,
"alpha_frac": 0.6484708977,
"autogenerated": false,
"ratio": 3.9699738903394257,
"config_test": false,
"has_n... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from mousestyles import data
from mousestyles.classification import clustering
def test_prep_data():
# Check prep_data return the correct dimension
mouse_data = data.load_all_features()
preped_dat... | {
"repo_name": "togawa28/mousestyles",
"path": "mousestyles/classification/tests/test_clustering.py",
"copies": "3",
"size": "2156",
"license": "bsd-2-clause",
"hash": 7564547194971933000,
"line_mean": 35.5423728814,
"line_max": 72,
"alpha_frac": 0.6410018553,
"autogenerated": false,
"ratio": 3.23... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from nose.plugins.attrib import attr
from nose.tools import raises
import numpy as np
from numpy.testing import (assert_equal,
assert_almost_equal)
from ..irr import (compute_ts,
... | {
"repo_name": "qqqube/permute",
"path": "permute/tests/test_irr.py",
"copies": "1",
"size": "4322",
"license": "bsd-2-clause",
"hash": -5376585036092745000,
"line_mean": 31.7424242424,
"line_max": 79,
"alpha_frac": 0.5666358168,
"autogenerated": false,
"ratio": 2.9889349930843707,
"config_test"... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from pylint.checkers import BaseChecker
from pylint.checkers.utils import safe_infer
from pylint.interfaces import IAstroidChecker
from astroid import YES, List
from ..__pkginfo__ import BASE_ID
class Settin... | {
"repo_name": "geerk/django_linter",
"path": "django_linter/checkers/settings.py",
"copies": "1",
"size": "2509",
"license": "mit",
"hash": -6074785726384013000,
"line_mean": 36.447761194,
"line_max": 80,
"alpha_frac": 0.5332801913,
"autogenerated": false,
"ratio": 4.325862068965518,
"config_te... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from pylint.checkers import BaseChecker
from pylint.interfaces import IAstroidChecker
from astroid import Name, CallFunc, AssName, Getattr, Tuple, Subscript
from ..__pkginfo__ import BASE_ID
class ViewsCheck... | {
"repo_name": "geerk/django_linter",
"path": "django_linter/checkers/views.py",
"copies": "1",
"size": "4979",
"license": "mit",
"hash": -8903418102390117000,
"line_mean": 38.832,
"line_max": 78,
"alpha_frac": 0.5312311709,
"autogenerated": false,
"ratio": 4.194608256107835,
"config_test": fals... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from pylint.checkers import BaseChecker
from pylint.interfaces import IAstroidChecker
from ..__pkginfo__ import BASE_ID
class LayoutChecker(BaseChecker):
__implements__ = IAstroidChecker
name = 'lay... | {
"repo_name": "geerk/django_linter",
"path": "django_linter/checkers/layout.py",
"copies": "1",
"size": "1126",
"license": "mit",
"hash": -6042957599171366000,
"line_mean": 35.3225806452,
"line_max": 78,
"alpha_frac": 0.593250444,
"autogenerated": false,
"ratio": 3.923344947735192,
"config_test... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from pylint.checkers import BaseChecker
from pylint.interfaces import IAstroidChecker
class LayoutChecker(BaseChecker):
__implements__ = IAstroidChecker
name = 'layout'
msgs = {
'W5301': ... | {
"repo_name": "johndeng/django_linter",
"path": "django_linter/checkers/layout.py",
"copies": "1",
"size": "1055",
"license": "mit",
"hash": 8075019166732364000,
"line_mean": 38.0740740741,
"line_max": 78,
"alpha_frac": 0.590521327,
"autogenerated": false,
"ratio": 4.073359073359073,
"config_te... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from pylint.checkers.utils import safe_infer
from astroid import MANAGER, Class, Name, Instance, YES
from astroid.builder import AstroidBuilder
try:
DjangoModel = AstroidBuilder(MANAGER).string_build("""
... | {
"repo_name": "geerk/django_linter",
"path": "django_linter/transformers/factories.py",
"copies": "1",
"size": "1462",
"license": "mit",
"hash": -8051333480113470000,
"line_mean": 38.5135135135,
"line_max": 76,
"alpha_frac": 0.5820793434,
"autogenerated": false,
"ratio": 4.403614457831325,
"con... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from scipy.cluster.hierarchy import linkage
from sklearn.cluster import AgglomerativeClustering, KMeans
from sklearn import metrics
import numpy as np
from scipy.cluster.hierarchy import cophenet
from scipy.spa... | {
"repo_name": "togawa28/mousestyles",
"path": "mousestyles/classification/clustering.py",
"copies": "3",
"size": "7621",
"license": "bsd-2-clause",
"hash": 5986788904131656000,
"line_mean": 32.7212389381,
"line_max": 78,
"alpha_frac": 0.6231465687,
"autogenerated": false,
"ratio": 3.8296482412060... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from unittest import TestCase
from fixtureupper.register import UpperRegister
from tests.models import Article, Author, CoWrite, Draft
class BaseTestCase(TestCase):
def setUp(self):
self.SqlAlche... | {
"repo_name": "Rhathe/fixtureupper",
"path": "tests/functional/sqlalchemy/__init__.py",
"copies": "1",
"size": "2213",
"license": "mit",
"hash": -5030520393336035000,
"line_mean": 32.0298507463,
"line_max": 75,
"alpha_frac": 0.5155896972,
"autogenerated": false,
"ratio": 4.443775100401607,
"con... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from yieldfrom2.syntax import expand_yield_from, from_, return_
def foobar():
for i in range(3):
try:
x = yield i
while x is not None:
x = yield x
e... | {
"repo_name": "immerrr/yieldfrom2",
"path": "test_yieldfrom2.py",
"copies": "1",
"size": "1133",
"license": "bsd-2-clause",
"hash": 8560333471266669000,
"line_mean": 25.9761904762,
"line_max": 63,
"alpha_frac": 0.5701676964,
"autogenerated": false,
"ratio": 3.906896551724138,
"config_test": fal... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import json
import os
from collections import defaultdict
try:
from os import scandir
except ImportError:
from scandir import scandir
class Directories:
"""Used to build dictionary of directory n... | {
"repo_name": "chrsintyre/jumpdir",
"path": "jumpdir/directories.py",
"copies": "2",
"size": "3488",
"license": "mit",
"hash": -8204736896167319000,
"line_mean": 33.1960784314,
"line_max": 82,
"alpha_frac": 0.5791284404,
"autogenerated": false,
"ratio": 4.36,
"config_test": false,
"has_no_key... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import logging
import click
import semantic_version
from changes import attributes
log = logging.getLogger(__name__)
def current_version(module_name):
return attributes.extract_attribute(module_name, '... | {
"repo_name": "goldsborough/changes",
"path": "changes/version.py",
"copies": "1",
"size": "1882",
"license": "mit",
"hash": -9023675135143636000,
"line_mean": 25.8857142857,
"line_max": 93,
"alpha_frac": 0.6418703507,
"autogenerated": false,
"ratio": 4.219730941704036,
"config_test": false,
... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import math
import re
from zxcvbn.matching import (KEYBOARD_STARTING_POSITIONS, KEYBOARD_AVERAGE_DEGREE,
KEYPAD_STARTING_POSITIONS, KEYPAD_AVERAGE_DEGREE)
def binom(n, k):
"""... | {
"repo_name": "erikr/python-zxcvbn",
"path": "zxcvbn/scoring.py",
"copies": "2",
"size": "12311",
"license": "mit",
"hash": 2746137209404965400,
"line_mean": 34.5809248555,
"line_max": 120,
"alpha_frac": 0.5719275445,
"autogenerated": false,
"ratio": 3.7340006066120717,
"config_test": false,
... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import matplotlib.pyplot as plt
import numpy as np
from mousestyles.distribution import (powerlaw_pdf, exp_pdf,
powerlaw_inverse_cdf, exp_inverse_cdf)
from mousestyles.est_... | {
"repo_name": "changsiyao/mousestyles",
"path": "mousestyles/visualization/distribution_plot.py",
"copies": "3",
"size": "5349",
"license": "bsd-2-clause",
"hash": 3443265401003458000,
"line_mean": 33.9607843137,
"line_max": 76,
"alpha_frac": 0.6191811554,
"autogenerated": false,
"ratio": 3.63877... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import matplotlib.pyplot as plt
import numpy as np
from mousestyles.ultradian import strain_seasonal
from mousestyles.ultradian import find_cycle
ALL_FEATURES = ["AS", "F", "M_AS", "M_IS", "W", "Distance"]
d... | {
"repo_name": "changsiyao/mousestyles",
"path": "mousestyles/visualization/plot_ultradian.py",
"copies": "3",
"size": "6750",
"license": "bsd-2-clause",
"hash": -6393349086081615000,
"line_mean": 37.7931034483,
"line_max": 79,
"alpha_frac": 0.5533333333,
"autogenerated": false,
"ratio": 3.6486486... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import matplotlib.pyplot as plt
import numpy as np
def lombscargle_visualize(periods, power, sig, N, cycle,
cycle_power, cycle_pvalue):
"""
Use Lomb-Scargel method on differe... | {
"repo_name": "changsiyao/mousestyles",
"path": "mousestyles/visualization/plot_lomb_scargle.py",
"copies": "3",
"size": "3025",
"license": "bsd-2-clause",
"hash": -6727041823898236000,
"line_mean": 40.4383561644,
"line_max": 79,
"alpha_frac": 0.5834710744,
"autogenerated": false,
"ratio": 3.5546... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import matplotlib.pyplot as plt
import pandas as pd
def plot_path(movement, paths, title='example plot of path', alpha=.1,
linewidth=1., xlim=[-16.24, 3.76], ylim=[0.9, 43.5]):
r"""
Plot... | {
"repo_name": "changsiyao/mousestyles",
"path": "mousestyles/visualization/plot_path.py",
"copies": "3",
"size": "2241",
"license": "bsd-2-clause",
"hash": 8147876183867381000,
"line_mean": 27.7307692308,
"line_max": 70,
"alpha_frac": 0.6055332441,
"autogenerated": false,
"ratio": 3.9946524064171... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import matplotlib.pyplot as plt
def plot_box(list_of_arrays, title="Box Plot of Distribution", width=4,
height=4):
r"""
Make a box plot of the desired metric (path length, speed, angle, e... | {
"repo_name": "berkeley-stat222/mousestyles",
"path": "mousestyles/visualization/path_diversity_plotting.py",
"copies": "3",
"size": "2827",
"license": "bsd-2-clause",
"hash": 3807215600274500600,
"line_mean": 29.3978494624,
"line_max": 75,
"alpha_frac": 0.6239830209,
"autogenerated": false,
"rat... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import numpy as np
from astropy.coordinates import SkyCoord
from .utils import sersic_profile_function
from .mask import Mask
class Galaxy:
'''This is a representation of a galaxy which needs slitmasks.''... | {
"repo_name": "adwasser/masktools",
"path": "masktools/superskims/galaxy.py",
"copies": "1",
"size": "7204",
"license": "mit",
"hash": -5305748656583879000,
"line_mean": 41.1286549708,
"line_max": 108,
"alpha_frac": 0.5627429206,
"autogenerated": false,
"ratio": 3.807610993657505,
"config_test"... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import numpy as np
from scipy import stats, optimize
from mousestyles.data import load_movement
def get_travel_distances(strain=0, mouse=0, day=0):
""" Get distances travelled in 20ms for this strain, thi... | {
"repo_name": "berkeley-stat222/mousestyles",
"path": "mousestyles/distributions/kolmogorov_test.py",
"copies": "3",
"size": "5049",
"license": "bsd-2-clause",
"hash": -8623030688448152000,
"line_mean": 36.962406015,
"line_max": 79,
"alpha_frac": 0.660526837,
"autogenerated": false,
"ratio": 3.79... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import numpy as np
import matplotlib.pyplot as plt
def plot_performance(result):
"""
Plots the performance of classification model.It
is a side-by-side barplot. For each strain, it plots
the p... | {
"repo_name": "togawa28/mousestyles",
"path": "mousestyles/visualization/plot_classification.py",
"copies": "3",
"size": "2199",
"license": "bsd-2-clause",
"hash": 5948350357802199000,
"line_mean": 29.9718309859,
"line_max": 79,
"alpha_frac": 0.6093678945,
"autogenerated": false,
"ratio": 3.35213... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import numpy as np
import pandas as pd
from mousestyles import data
def getdistance(strain, mouse, day):
"""
Return the distance of each two consecutive points among coordinates
which is bigger th... | {
"repo_name": "berkeley-stat222/mousestyles",
"path": "mousestyles/est_power_param.py",
"copies": "3",
"size": "3303",
"license": "bsd-2-clause",
"hash": 6655419859544203000,
"line_mean": 23.6492537313,
"line_max": 76,
"alpha_frac": 0.5467756585,
"autogenerated": false,
"ratio": 3.787844036697247... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import numpy as np
import pandas as pd
import math
def compute_accelerations(speeds, timestamps):
r"""
Returns a list of the accelerations along the path.
Each element of the list is the ratio of ... | {
"repo_name": "berkeley-stat222/mousestyles",
"path": "mousestyles/path_diversity/path_features.py",
"copies": "3",
"size": "4659",
"license": "bsd-2-clause",
"hash": -806828204126325400,
"line_mean": 28.8653846154,
"line_max": 78,
"alpha_frac": 0.6016312513,
"autogenerated": false,
"ratio": 3.63... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import numpy as np
from mousestyles.data.utils import (pull_locom_tseries_subset,
total_time_rectangle_bins)
def test_pull_locom():
M = np.array([[1, 2, 3, 4, 5, 6], [... | {
"repo_name": "berkeley-stat222/mousestyles",
"path": "mousestyles/data/tests/test_utils.py",
"copies": "3",
"size": "2371",
"license": "bsd-2-clause",
"hash": 2864342297630106000,
"line_mean": 40.5964912281,
"line_max": 79,
"alpha_frac": 0.4812315479,
"autogenerated": false,
"ratio": 2.472367049... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import numpy as np
from .slit import Slit
class Mask:
'''Represents a slitmask'''
def __init__(self, name, mask_pa, mask_r_eff, cone_angle, brightness_profile,
slit_separation=0.... | {
"repo_name": "adwasser/masktools",
"path": "masktools/superskims/mask.py",
"copies": "1",
"size": "8887",
"license": "mit",
"hash": -2388717992226478600,
"line_mean": 40.9198113208,
"line_max": 102,
"alpha_frac": 0.5536176437,
"autogenerated": false,
"ratio": 3.3535849056603775,
"config_test":... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import numpy as np
def get_dist_speed(movement, start, end, return_array=True):
r"""
Return a list containing distance(s) covered in a path and
average speed(s) within a path.
Parameters
... | {
"repo_name": "togawa28/mousestyles",
"path": "mousestyles/path_diversity/get_dist_speed.py",
"copies": "3",
"size": "2409",
"license": "bsd-2-clause",
"hash": 6795136597837399000,
"line_mean": 29.8846153846,
"line_max": 74,
"alpha_frac": 0.5898713159,
"autogenerated": false,
"ratio": 3.606287425... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import numpy as np
def path_index(movement, stop_threshold, min_path_length):
r"""
Return a list object containing start and end indices
for a specific movement. Each element in the list is
a ... | {
"repo_name": "berkeley-stat222/mousestyles",
"path": "mousestyles/path_diversity/path_index.py",
"copies": "3",
"size": "2301",
"license": "bsd-2-clause",
"hash": 1224103679127582000,
"line_mean": 29.68,
"line_max": 66,
"alpha_frac": 0.6014776184,
"autogenerated": false,
"ratio": 4.1760435571687... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import numpy as np
def powerlaw_pdf(x, a):
"""
The probability density function of truncated power law.
Parameters
----------
x : float > 0, or a np.dnarray
x in formula p(x)=(alp... | {
"repo_name": "changsiyao/mousestyles",
"path": "mousestyles/distribution.py",
"copies": "3",
"size": "2255",
"license": "bsd-2-clause",
"hash": 5994046351713556000,
"line_mean": 21.1078431373,
"line_max": 77,
"alpha_frac": 0.5286031042,
"autogenerated": false,
"ratio": 3.5400313971742543,
"con... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import os as _os
import numpy as np
import pandas as pd
from mousestyles import data_dir
from mousestyles.intervals import Intervals
import collections
from matplotlib.externals import six
INTERVAL_FEATURES... | {
"repo_name": "togawa28/mousestyles",
"path": "mousestyles/data/__init__.py",
"copies": "3",
"size": "18023",
"license": "bsd-2-clause",
"hash": 3760767207990582000,
"line_mean": 30.6192982456,
"line_max": 79,
"alpha_frac": 0.5995672197,
"autogenerated": false,
"ratio": 3.837947189097104,
"conf... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import os
import numpy as np
import scipy.linalg
if os.environ.get("USE_FAST_FAKELU", "0") == "1":
print("Using C++ extension for FakeLU")
from fakelu import fast_FakeLU as FakeLU
else:
from fakelu... | {
"repo_name": "chemreac/block_diag_ilu",
"path": "python_prototype/tests/test_fakelu.py",
"copies": "1",
"size": "8673",
"license": "bsd-2-clause",
"hash": 1797668231437794600,
"line_mean": 31.0036900369,
"line_max": 89,
"alpha_frac": 0.4515161997,
"autogenerated": false,
"ratio": 2.2232760830556... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import os
import time
import codecs
try:
import simplejson as json
json
except ImportError:
import json
try:
import urllib.request as urllib_request
except ImportError:
import urllib2 as ur... | {
"repo_name": "moreati/python-zxcvbn",
"path": "zxcvbn/scripts/build_frequency_lists.py",
"copies": "1",
"size": "7091",
"license": "mit",
"hash": -1082776628520189400,
"line_mean": 35.7409326425,
"line_max": 123,
"alpha_frac": 0.5968128614,
"autogenerated": false,
"ratio": 3.519106699751861,
"... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import pandas as pd
import numpy as np
from mousestyles import data
try:
basestring
except NameError:
basestring = str
def create_time_matrix(combined_gap=4, time_gap=1,
days_... | {
"repo_name": "changsiyao/mousestyles",
"path": "mousestyles/dynamics/__init__.py",
"copies": "3",
"size": "21301",
"license": "bsd-2-clause",
"hash": -6509979658280945000,
"line_mean": 38.15625,
"line_max": 79,
"alpha_frac": 0.5785174405,
"autogenerated": false,
"ratio": 3.7754342431761785,
"c... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from mousestyles.dynamics import find_best_interval
def plot_dynamics(df, strain_num,
interval_length_initial=np.arang... | {
"repo_name": "changsiyao/mousestyles",
"path": "mousestyles/visualization/dynamics.py",
"copies": "3",
"size": "4289",
"license": "bsd-2-clause",
"hash": -7869012206683845000,
"line_mean": 42.3232323232,
"line_max": 79,
"alpha_frac": 0.6017719748,
"autogenerated": false,
"ratio": 3.9897674418604... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import pandas as pd
import numpy as np
from mousestyles.path_diversity import detect_noise
def smooth_noise(movement, paths, angle_threshold, delta_t):
r"""
Return a new smoothed movement pandas Data... | {
"repo_name": "togawa28/mousestyles",
"path": "mousestyles/path_diversity/smooth_noise.py",
"copies": "3",
"size": "2904",
"license": "bsd-2-clause",
"hash": -4536697917981752300,
"line_mean": 32,
"line_max": 77,
"alpha_frac": 0.6497933884,
"autogenerated": false,
"ratio": 3.8823529411764706,
"... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import pandas as pd
from mousestyles import path_diversity
def test_smooth_noise():
movement = {'t': pd.Series([0., 0.02, 0.04, 0.06], index=[0, 1, 2, 3]),
'x': pd.Series([0., 0., 0.1, 0.... | {
"repo_name": "berkeley-stat222/mousestyles",
"path": "mousestyles/path_diversity/tests/test_smooth_noise.py",
"copies": "3",
"size": "2526",
"license": "bsd-2-clause",
"hash": 7851332215690985000,
"line_mean": 46.6603773585,
"line_max": 75,
"alpha_frac": 0.5003958828,
"autogenerated": false,
"ra... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import pandas as pd
from mousestyles.path_diversity import compute_angles
def detect_noise(movement, paths, angle_threshold, delta_t):
r"""
Return a list object containing boolean values at points
... | {
"repo_name": "changsiyao/mousestyles",
"path": "mousestyles/path_diversity/detect_noise.py",
"copies": "3",
"size": "3295",
"license": "bsd-2-clause",
"hash": 6925468621832961000,
"line_mean": 33.6842105263,
"line_max": 77,
"alpha_frac": 0.5678300455,
"autogenerated": false,
"ratio": 4.229781771... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import permute.data as data
from numpy.testing import assert_equal
def test_botulinum():
""" Test that "Botulinum" data can be loaded. """
botulinum = data.botulinum()
assert_equal((botulinum.size... | {
"repo_name": "qqqube/permute",
"path": "permute/data/tests/test_data.py",
"copies": "1",
"size": "2645",
"license": "bsd-2-clause",
"hash": 3957766991150778000,
"line_mean": 26.2680412371,
"line_max": 73,
"alpha_frac": 0.6351606805,
"autogenerated": false,
"ratio": 2.929125138427464,
"config_t... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import pytest
import pandas as pd
import numpy as np
from mousestyles.path_diversity.path_features_advanced import compute_advanced
def test_compute_advanced_input():
# Check if function raises the corr... | {
"repo_name": "togawa28/mousestyles",
"path": "mousestyles/path_diversity/tests/test_path_features_advanced.py",
"copies": "3",
"size": "3099",
"license": "bsd-2-clause",
"hash": 1873030699862746000,
"line_mean": 37.2592592593,
"line_max": 78,
"alpha_frac": 0.5666343982,
"autogenerated": false,
"... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import pytest
import pandas as pd
from mousestyles import data
from mousestyles import path_diversity
def test_detect_noise_input():
movement = data.load_movement(0, 0, 0)
paths = path_diversity.path... | {
"repo_name": "togawa28/mousestyles",
"path": "mousestyles/path_diversity/tests/test_detect_noise.py",
"copies": "3",
"size": "2458",
"license": "bsd-2-clause",
"hash": 7865435219276275000,
"line_mean": 42.8928571429,
"line_max": 75,
"alpha_frac": 0.5919446705,
"autogenerated": false,
"ratio": 3.... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import sys
import h5py
import numpy as np
import os
import re
from collections import OrderedDict
import pandas as pd
import json
import skimage.io as sio
from PIL import Image
import copy
import glob
import as... | {
"repo_name": "NSLS-II-HXN/PyXRF",
"path": "pyxrf/model/fileio.py",
"copies": "1",
"size": "90612",
"license": "bsd-3-clause",
"hash": -1828295308468093700,
"line_mean": 37.4927782498,
"line_max": 111,
"alpha_frac": 0.5709950117,
"autogenerated": false,
"ratio": 3.8728042056673933,
"config_test... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import tornado.httpserver
import tornado.ioloop
import tornado.options
import tornado.web
import tornado.gen
import tornado.platform.twisted
import mysql.connector
tornado.platform.twisted.install()
import to... | {
"repo_name": "geerk/toradbapi",
"path": "demo.py",
"copies": "1",
"size": "3036",
"license": "mit",
"hash": 7133691057713358000,
"line_mean": 31.2978723404,
"line_max": 78,
"alpha_frac": 0.5793807642,
"autogenerated": false,
"ratio": 3.8625954198473282,
"config_test": false,
"has_no_keywords... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import unittest
from datacheck import validate
from datacheck.exceptions import TypeValidationError
class TestList(unittest.TestCase):
def test_list_ok(self):
input = [123, 456]
result = ... | {
"repo_name": "csdev/datacheck",
"path": "tests/functional_tests/test_list.py",
"copies": "1",
"size": "1657",
"license": "mit",
"hash": -2232977457908937700,
"line_mean": 38.4523809524,
"line_max": 83,
"alpha_frac": 0.624019312,
"autogenerated": false,
"ratio": 4.021844660194175,
"config_test"... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import unittest
from mock import NonCallableMagicMock, patch, call
from datacheck.core import Dict, Required, Optional
from datacheck.exceptions import (TypeValidationError, FieldValidationError,
... | {
"repo_name": "csdev/datacheck",
"path": "tests/unit_tests/test_dict.py",
"copies": "1",
"size": "5391",
"license": "mit",
"hash": -4375121416757386000,
"line_mean": 31.6727272727,
"line_max": 76,
"alpha_frac": 0.5811537748,
"autogenerated": false,
"ratio": 4.330120481927711,
"config_test": tru... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
def filter_path(movement, paths, time_threshold):
r"""
Return a list object containing start and end indices for
movements lasting equal to or longer than the specified time
threshold
Para... | {
"repo_name": "togawa28/mousestyles",
"path": "mousestyles/path_diversity/filter_path.py",
"copies": "3",
"size": "1618",
"license": "bsd-2-clause",
"hash": 4036271716335366000,
"line_mean": 30.1153846154,
"line_max": 70,
"alpha_frac": 0.6452410383,
"autogenerated": false,
"ratio": 4.349462365591... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.