text stringlengths 0 1.05M | meta dict |
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from __future__ import (absolute_import, division,
print_function, unicode_literals)
from collections import defaultdict
import copy
class BehaviorTree():
"""
Object representing a decomposed tree of behavior. Behaves much like
a dictionary, with an additional representation of t... | {
"repo_name": "changsiyao/mousestyles",
"path": "mousestyles/behavior/behavior_tree.py",
"copies": "3",
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"autogenerated": false,
"ratio": 4.7005253940455... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import caniusepython3 as ciu
from . import utils
from . import classifier_finder
class pypi_scanner(object):
def __init__(self):
pass
def _get_all_github_packages(self):
with ciu.py... | {
"repo_name": "PythonCharmers/autoporter",
"path": "pypi_scanner.py",
"copies": "1",
"size": "2078",
"license": "mit",
"hash": 5686388699354582000,
"line_mean": 32.5322580645,
"line_max": 86,
"alpha_frac": 0.6385948027,
"autogenerated": false,
"ratio": 3.9356060606060606,
"config_test": false,
... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
import numpy as np
import pandas as pd
from mousestyles.path_diversity.path_features import angle_between
def compute_advanced(path_obj):
r"""
Returns dictionary containing several advanced features ... | {
"repo_name": "changsiyao/mousestyles",
"path": "mousestyles/path_diversity/path_features_advanced.py",
"copies": "3",
"size": "3266",
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"hash": 1282599519518683400,
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"autogenerated": false,
"ratio": 3... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
"""
label
==========
Module for string-like labels
"""
__all__ = ['prime_label', 'unprime_label', 'noprime_label', 'prime_level',
'unique_label']
import uuid
class Label(str):
"""Wrapper cla... | {
"repo_name": "andrewdarmawan/tncontract",
"path": "tncontract/label.py",
"copies": "1",
"size": "2196",
"license": "mit",
"hash": -1028319730142160600,
"line_mean": 22.8695652174,
"line_max": 74,
"alpha_frac": 0.5683060109,
"autogenerated": false,
"ratio": 4.339920948616601,
"config_test": fal... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
"""
matrices
==========
Often used matrices
"""
import numpy as np
#
# Pauli spin 1/2 operators:
#
def sigmap():
return np.matrix([[0., 1.], [0., 0.]])
def sigmam():
return np.matrix([[0., 0.], [1... | {
"repo_name": "andrewdarmawan/tncontract",
"path": "tncontract/matrices.py",
"copies": "1",
"size": "1234",
"license": "mit",
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"config_test": false,
... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
"""
onedim_core
==========
Core module for onedimensional tensor networks
"""
__all__ = ['MatrixProductState', 'MatrixProductStateCanonical',
'MatrixProductOperator', 'OneDimensionalTensorNetwork',... | {
"repo_name": "andrewdarmawan/tncontract",
"path": "tncontract/onedim/onedim_core.py",
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"size": "84888",
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"ratio": 3.984042802834749,
"co... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
"""
onedim_utils
==========
Module with various functions for MPS/MPOs.
"""
__all__ = ['init_mps_random', 'init_mps_allzero', 'init_mps_logical',
'onebody_sum_mpo', 'expvals_mps', 'ptrace_mps']
im... | {
"repo_name": "andrewdarmawan/tncontract",
"path": "tncontract/onedim/onedim_utils.py",
"copies": "1",
"size": "10246",
"license": "mit",
"hash": 2428405209330774500,
"line_mean": 31.7348242812,
"line_max": 108,
"alpha_frac": 0.5649033769,
"autogenerated": false,
"ratio": 3.632045373980858,
"co... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
"""
square_lattice
==========
Core module for square lattice tensor networks
"""
import numpy as np
import tncontract.onedim as od
import tncontract as tn
class SquareLatticeTensorNetwork():
"""Base cl... | {
"repo_name": "andrewdarmawan/tncontract",
"path": "tncontract/twodim/square_lattice.py",
"copies": "1",
"size": "18383",
"license": "mit",
"hash": 913164034327373000,
"line_mean": 43.0839328537,
"line_max": 101,
"alpha_frac": 0.5824946962,
"autogenerated": false,
"ratio": 3.9330338040222506,
"... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
""" Shapes for drawing genes and gene features.
"""
_contributors = [
"Darcy Jones <darcy.ab.jones@gmail.com>"
]
############################ Import all modules ##############################
from ... | {
"repo_name": "darcyabjones/bioplotlib",
"path": "bioplotlib/feature_shapes.py",
"copies": "1",
"size": "12495",
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"autogenerated": false,
"ratio": 4.286449399656947,
"c... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
try:
import simplejson as json
json # silence pyflakes
except ImportError:
import json
qwerty = r'''
`~ 1! 2@ 3# 4$ 5% 6^ 7& 8* 9( 0) -_ =+
qQ wW eE rR tT yY uU iI oO pP [{ ]} \|
aA sS dD ... | {
"repo_name": "moreati/python-zxcvbn",
"path": "zxcvbn/scripts/build_keyboard_adjacency_graph.py",
"copies": "2",
"size": "3690",
"license": "mit",
"hash": 7756545510550058000,
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"autogenerated": false,
"ratio": 3.042044517724... |
from __future__ import absolute_import, division
# vim: set fileencoding=utf-8 :
import sys
from nose_pyversion import PyVersion
def test_version_match():
"""Test that PyVersion returns None on matching filenames and False on
non-matching filenames"""
print 'testing'
separator = '-'
pyversion =... | {
"repo_name": "danielholmstrom/nose-pyversion",
"path": "tests/test_pyversion.py",
"copies": "1",
"size": "1772",
"license": "mit",
"hash": 9017448563256716000,
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"autogenerated": false,
"ratio": 4,
"config_test": false,
"has_no_ke... |
from __future__ import absolute_import, division, print_function
# Advanced GlyphProcessor
from vanilla import FloatingWindow, Slider
from mojo.glyphPreview import GlyphPreview
from mojo.roboFont import version as roboFontVersion
from GlyphProcessor import GlyphProcessorUI
from fontTools.misc.transform import Identity... | {
"repo_name": "jenskutilek/RoboFont",
"path": "Extensions/GlyphRotator.roboFontExt/lib/GlyphPreviewRotate.py",
"copies": "1",
"size": "4724",
"license": "mit",
"hash": -408211972285068100,
"line_mean": 36.1968503937,
"line_max": 111,
"alpha_frac": 0.5774767146,
"autogenerated": false,
"ratio": 4.... |
from __future__ import absolute_import, division, print_function
#!/bin/env python
# standard library
import os
import sys
import argparse
import ast
# dependencies
import numpy as np
from skimage import img_as_ubyte
import toolz as tz
from sklearn import neighbors
from sklearn.preprocessing import StandardScaler
# ... | {
"repo_name": "starcalibre/microscopium",
"path": "microscopium/main.py",
"copies": "1",
"size": "13464",
"license": "bsd-3-clause",
"hash": -1731179684482274000,
"line_mean": 43.4356435644,
"line_max": 80,
"alpha_frac": 0.5805109923,
"autogenerated": false,
"ratio": 3.9082728592162552,
"config... |
from __future__ import absolute_import, division, print_function
# Can't import unicode_literals in setup.py currently
# http://stackoverflow.com/a/23175131
import codecs
import os
from setuptools import setup
import sys
# Prevent spurious errors during `python setup.py test`, a la
# http://www.eby-sarna.com/pipermai... | {
"repo_name": "twobraids/configman",
"path": "setup.py",
"copies": "2",
"size": "2497",
"license": "mpl-2.0",
"hash": 2713235367187858400,
"line_mean": 30.6075949367,
"line_max": 74,
"alpha_frac": 0.6315578694,
"autogenerated": false,
"ratio": 3.7324364723467864,
"config_test": true,
"has_no_... |
from __future__ import absolute_import, division, print_function
# -*- coding: utf-8 -*-
"""
Created on Thu Jul 5 11:40:26 2018
@author: rachael
"""
# -*- coding: utf-8 -*-
"""
Created on Fri Oct 6 12:03:20 2017
@author: rachael
Create a dummy gsd file with 4 molecules of 17 beads each in 6 snapshots
Used to check... | {
"repo_name": "ramansbach/cluster_analysis",
"path": "clustering/data/dummgsdfull2type.py",
"copies": "1",
"size": "9037",
"license": "mit",
"hash": -1667528193522650600,
"line_mean": 36.1893004115,
"line_max": 79,
"alpha_frac": 0.5227398473,
"autogenerated": false,
"ratio": 2.8338037002195047,
... |
from __future__ import (absolute_import, division, print_function)
from addie.processing.idl.export_table import ExportTable
from addie.processing.idl.import_table import ImportTable
from addie.processing.idl.table_handler import TableHandler
from addie.processing.idl.populate_background_widgets import PopulateBackgrou... | {
"repo_name": "neutrons/FastGR",
"path": "addie/processing/idl/undo_handler.py",
"copies": "1",
"size": "2998",
"license": "mit",
"hash": -389354023364675140,
"line_mean": 31.5869565217,
"line_max": 86,
"alpha_frac": 0.6117411608,
"autogenerated": false,
"ratio": 3.674019607843137,
"config_test... |
from __future__ import absolute_import, division, print_function
from builtins import (ascii, bytes, chr, dict, filter, hex, input,
int, map, next, oct, open, pow, range, round,
str, super, zip)
import pytest
import yaml
with open('tests/vars/filebeat.vars', 'r') as f:
t... | {
"repo_name": "rocknsm/rock",
"path": "tests/test_filebeat.py",
"copies": "4",
"size": "2381",
"license": "apache-2.0",
"hash": -7012542108731036000,
"line_mean": 34.0147058824,
"line_max": 89,
"alpha_frac": 0.6467870643,
"autogenerated": false,
"ratio": 3.5066273932253313,
"config_test": true,... |
from __future__ import absolute_import, division, print_function
from builtins import (bytes, str, open, super, range,
zip, round, input, int, pow, object)
import logging
import os
from os.path import join, splitext, exists, isdir, isfile
from pathlib2 import Path
import subprocess
import re
impor... | {
"repo_name": "pansapiens/mytardis_ngs_ingestor",
"path": "mytardis_ngs_ingestor/illumina/run_info.py",
"copies": "1",
"size": "20841",
"license": "bsd-3-clause",
"hash": 9026288671173119000,
"line_mean": 33.9697986577,
"line_max": 102,
"alpha_frac": 0.5912384243,
"autogenerated": false,
"ratio":... |
from __future__ import (absolute_import, division, print_function)
from builtins import *
import struct
import array
import json
from .client import PCICV3Client
class PCICFormatRecord:
def __init__(self, recordId):
self.recordMap = {}
self.recordMap["type"] = "records"
self.recordMap["id"] = str(recordId)
s... | {
"repo_name": "cfreundl/o3d3xx-python",
"path": "o3d3xx/pcic/format_client.py",
"copies": "1",
"size": "7364",
"license": "mit",
"hash": -1740997495905059300,
"line_mean": 34.2344497608,
"line_max": 235,
"alpha_frac": 0.7118413905,
"autogenerated": false,
"ratio": 3.4013856812933025,
"config_te... |
from __future__ import (absolute_import, division, print_function)
from builtins import *
import struct
import array
from o3d3xx.pcic.client import PCICV3Client
from o3d3xx.pcic.cwrappers import IntrinsicCalibration, ExtrinsicCalibration
class ImageClient(PCICV3Client):
def __init__(self, address, port):
super(Ima... | {
"repo_name": "cfreundl/o3d3xx-python",
"path": "o3d3xx/pcic/image_client.py",
"copies": "1",
"size": "6030",
"license": "mit",
"hash": -3349663749085248000,
"line_mean": 34.2631578947,
"line_max": 795,
"alpha_frac": 0.6416252073,
"autogenerated": false,
"ratio": 3.35,
"config_test": false,
"... |
from __future__ import (absolute_import, division, print_function)
from builtins import (object, str)
from past.builtins import basestring
import os
import re
class RenderError(Exception):
pass
class Context(object):
"""generic template interface class """
def __init__(self, **kwargs):
"""
... | {
"repo_name": "20c/twentyc.tmpl",
"path": "tmpl/context.py",
"copies": "1",
"size": "5542",
"license": "apache-2.0",
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"line_mean": 28.1684210526,
"line_max": 97,
"alpha_frac": 0.5541320823,
"autogenerated": false,
"ratio": 3.853963838664812,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
from builtins import range
import functools
ITERABLE_TYPES = (
list,
set,
tuple,
)
MISSING_POSITIONAL_ERR = 'Required positional argument (pos 1) not found'
try:
from numpy import ndarray
ITERABLE_TYPES = ITERABLE_TYPES + (ndarray... | {
"repo_name": "zooniverse/panoptes-python-client",
"path": "panoptes_client/utils.py",
"copies": "1",
"size": "1742",
"license": "apache-2.0",
"hash": -2104155372064612600,
"line_mean": 22.8630136986,
"line_max": 75,
"alpha_frac": 0.5792192882,
"autogenerated": false,
"ratio": 3.4701195219123506,... |
from __future__ import absolute_import, division, print_function
from builtins import str
from panoptes_client.subject_workflow_status import SubjectWorkflowStatus
from panoptes_client.panoptes import (
LinkCollection,
LinkResolver,
PanoptesAPIException,
PanoptesObject,
)
from panoptes_client.set_membe... | {
"repo_name": "zooniverse/panoptes-python-client",
"path": "panoptes_client/subject_set.py",
"copies": "1",
"size": "3956",
"license": "apache-2.0",
"hash": 2122100662621487400,
"line_mean": 28.7443609023,
"line_max": 100,
"alpha_frac": 0.6076845298,
"autogenerated": false,
"ratio": 4.38580931263... |
from __future__ import absolute_import, division, print_function
from builtins import str
from panoptes_client.panoptes import (
PanoptesAPIException,
PanoptesObject,
)
from panoptes_client.subject import Subject
from panoptes_client.utils import batchable
class Collection(PanoptesObject):
_api_slug = 'c... | {
"repo_name": "zooniverse/panoptes-python-client",
"path": "panoptes_client/collection.py",
"copies": "1",
"size": "2627",
"license": "apache-2.0",
"hash": -3511388702785620500,
"line_mean": 25.27,
"line_max": 79,
"alpha_frac": 0.562618957,
"autogenerated": false,
"ratio": 4.385642737896494,
"c... |
from __future__ import absolute_import, division, print_function
from builtins import str
from panoptes_client.panoptes import PanoptesObject, LinkResolver
from panoptes_client.project import Project
from panoptes_client.user import User
class ProjectPreferences(PanoptesObject):
"""
Contains the settings for ... | {
"repo_name": "zooniverse/panoptes-python-client",
"path": "panoptes_client/project_preferences.py",
"copies": "1",
"size": "3085",
"license": "apache-2.0",
"hash": 2364196555182518300,
"line_mean": 32.5326086957,
"line_max": 78,
"alpha_frac": 0.5196110211,
"autogenerated": false,
"ratio": 4.5703... |
from __future__ import absolute_import, division, print_function
from builtins import str
import getpass
import logging
import os
import requests
import threading
import pkg_resources
from datetime import datetime, timedelta
from redo import retrier
import six
from panoptes_client.utils import isiterable, batchable... | {
"repo_name": "zooniverse/panoptes-python-client",
"path": "panoptes_client/panoptes.py",
"copies": "1",
"size": "33546",
"license": "apache-2.0",
"hash": -4061062087590434000,
"line_mean": 27.5741056218,
"line_max": 113,
"alpha_frac": 0.5228641269,
"autogenerated": false,
"ratio": 4.335228741276... |
from __future__ import absolute_import, division, print_function
from builtins import * # @UnusedWildImport
from mcculw import ul
from mcculw.enums import InterfaceType
def config_first_detected_device(board_num, dev_id_list=None):
"""Adds the first available device to the UL. If a types_list is specified,
... | {
"repo_name": "mccdaq/mcculw",
"path": "examples/console/console_examples_util.py",
"copies": "1",
"size": "1538",
"license": "mit",
"hash": -5797878202145285000,
"line_mean": 36.512195122,
"line_max": 80,
"alpha_frac": 0.6397919376,
"autogenerated": false,
"ratio": 3.769607843137255,
"config_t... |
from __future__ import absolute_import, division, print_function
from builtins import * # @UnusedWildImport
from mcculw import ul
from mcculw.ul import ULError
from mcculw.enums import FunctionType, InfoType, BoardInfo, ChannelType
class DaqiInfo:
"""Provides DAQ input information for the device with the specif... | {
"repo_name": "mccdaq/mcculw",
"path": "mcculw/device_info/daqi_info.py",
"copies": "1",
"size": "2042",
"license": "mit",
"hash": 473801311233238600,
"line_mean": 31.935483871,
"line_max": 78,
"alpha_frac": 0.6023506366,
"autogenerated": false,
"ratio": 4.263048016701461,
"config_test": false,... |
from __future__ import absolute_import, division, print_function
from builtins import * # @UnusedWildImport
import os
import tkinter as tk
from tkinter import messagebox
from mcculw import ul
from mcculw.enums import InterfaceType, ErrorCode
from mcculw.ul import ULError
class UIExample(tk.Frame, object):
"""P... | {
"repo_name": "mccdaq/mcculw",
"path": "examples/ui/ui_examples_util.py",
"copies": "1",
"size": "2374",
"license": "mit",
"hash": -4298652586721410000,
"line_mean": 29.0506329114,
"line_max": 80,
"alpha_frac": 0.6267902275,
"autogenerated": false,
"ratio": 3.657935285053929,
"config_test": fal... |
from __future__ import (absolute_import, division, print_function)
from code import compile_command, InteractiveInterpreter
from PySide import QtCore, QtGui
import sys
from traceback import print_exc
from .Ui_ConsoleWindow import Ui_ConsoleWindow
class ConsoleWindow(QtGui.QMainWindow, Ui_ConsoleWindow):
def __init... | {
"repo_name": "dacut/ret",
"path": "ret/ui/qt/ConsoleWindow.py",
"copies": "1",
"size": "3903",
"license": "bsd-2-clause",
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"line_mean": 25.1946308725,
"line_max": 78,
"alpha_frac": 0.5857033051,
"autogenerated": false,
"ratio": 4.196774193548387,
"config_test": fal... |
from __future__ import absolute_import, division, print_function
from collections import Counter, defaultdict
from decimal import Decimal
from operator import itemgetter
from manhattan import visitor
from .rollups import AllRollup, LocalDayRollup, LocalWeekRollup, BrowserRollup
from .cache import DeferredLRUCache
fro... | {
"repo_name": "storborg/manhattan",
"path": "manhattan/backend/__init__.py",
"copies": "1",
"size": "11943",
"license": "mit",
"hash": 7187486088291852000,
"line_mean": 37.6504854369,
"line_max": 79,
"alpha_frac": 0.5513690028,
"autogenerated": false,
"ratio": 4.200844178684489,
"config_test": ... |
from __future__ import absolute_import, division, print_function
from collections import defaultdict, namedtuple
import functools
import itertools
import re
import nfldb
__pdoc__ = {}
def tag_players(db, players):
"""
Given a list of `nflfan.RosterPlayer` objects, set the
`nflfan.RosterPlayer.player` at... | {
"repo_name": "BurntSushi/nflfan",
"path": "nflfan/score.py",
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"size": "10123",
"license": "unlicense",
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"line_max": 79,
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"autogenerated": false,
"ratio": 3.3321263989466754,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
from collections import defaultdict
try:
from collections import OrderedDict
except ImportError:
from ordereddict import OrderedDict
import heapq
import re
import sys
from psycopg2.extensions import cursor as tuple_cursor
from nfldb.db import Tx... | {
"repo_name": "webflint/nfldb",
"path": "nfldb/query.py",
"copies": "1",
"size": "54383",
"license": "unlicense",
"hash": 4634951192889220000,
"line_mean": 35.7701149425,
"line_max": 79,
"alpha_frac": 0.5684129232,
"autogenerated": false,
"ratio": 4.026282668246095,
"config_test": false,
"has... |
from __future__ import absolute_import, division, print_function
from collections import deque
from .core import VAR, END, PatternSet
from ..util import copy_doc
class DynamicPatternSet(PatternSet):
"""A set of patterns.
Forms a structure for fast matching over a set of patterns. This allows for
matchin... | {
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"path": "pinyon/matching/dynamic.py",
"copies": "1",
"size": "4528",
"license": "bsd-3-clause",
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"alpha_frac": 0.5591872792,
"autogenerated": false,
"ratio": 4.287878787878788,
"config_test": ... |
from __future__ import absolute_import, division, print_function
from collections import deque
class Pattern(object):
"""A pattern.
Parameters
----------
context : Context
pat : term
vars: tuple, optional
Tuple of variables found in the pattern.
"""
def __init__(self, context,... | {
"repo_name": "jcrist/pinyon",
"path": "pinyon/matching/core.py",
"copies": "1",
"size": "4691",
"license": "bsd-3-clause",
"hash": -5329010465052763000,
"line_mean": 26.9226190476,
"line_max": 80,
"alpha_frac": 0.588787039,
"autogenerated": false,
"ratio": 4.327490774907749,
"config_test": fal... |
from __future__ import absolute_import, division, print_function
from collections import Hashable
from types import GeneratorType
from ._vendor.six import wraps
# TODO: spend time filling out functionality and make these more robust
def memoize(func):
"""
Decorator to cause a function to cache it's results ... | {
"repo_name": "Microsoft/PTVS",
"path": "Python/Product/Miniconda/Miniconda3-x64/Lib/site-packages/conda/_vendor/auxlib/decorators.py",
"copies": "1",
"size": "10507",
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"hash": -8497004042429920000,
"line_mean": 29.4550724638,
"line_max": 99,
"alpha_frac": 0.5556295803,
"aut... |
from __future__ import absolute_import, division, print_function
from collections import Iterator
import numpy as np
from datashape.dispatch import dispatch
from datashape import from_numpy
from dask.array.core import Array, from_array
from dask.bag.core import Bag
import dask.bag as db
from dask.compatibility import... | {
"repo_name": "alexmojaki/odo",
"path": "odo/backends/dask.py",
"copies": "4",
"size": "2234",
"license": "bsd-3-clause",
"hash": 3725827628877032400,
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"line_max": 73,
"alpha_frac": 0.6781557744,
"autogenerated": false,
"ratio": 3.1732954545454546,
"config_test": fals... |
from __future__ import absolute_import, division, print_function
from collections import Iterator
import numpy as np
import pandas as pd
from datashape.dispatch import dispatch
from datashape import from_numpy
import dask
from dask.array.core import Array, from_array
from dask.bag.core import Bag
import dask.bag as d... | {
"repo_name": "cpcloud/odo",
"path": "odo/backends/dask.py",
"copies": "1",
"size": "2732",
"license": "bsd-3-clause",
"hash": -6813219361897801000,
"line_mean": 24.7735849057,
"line_max": 73,
"alpha_frac": 0.6852122987,
"autogenerated": false,
"ratio": 3.2293144208037825,
"config_test": false,... |
from __future__ import absolute_import, division, print_function
from collections import Mapping
import itertools
import functools
import heapq
zip_longest = (itertools.izip_longest if hasattr(itertools, 'izip_longest')
else itertools.zip_longest)
if hasattr(functools, 'reduce'):
reduce = functools.... | {
"repo_name": "pschanely/ScenicOverlook",
"path": "scenicoverlook/__init__.py",
"copies": "1",
"size": "44017",
"license": "bsd-3-clause",
"hash": 4939636739225903000,
"line_mean": 30.942670537,
"line_max": 100,
"alpha_frac": 0.5308176386,
"autogenerated": false,
"ratio": 3.4580092701704768,
"c... |
from __future__ import absolute_import, division, print_function
from collections import namedtuple
from io import StringIO
from shlex import shlex
from typing import List, Iterable
from . import _gpg
Entry = namedtuple("Entry", ["key", "user", "password", "notes"])
def _normalized_key(key: str) -> str:
return k... | {
"repo_name": "catch22/pw",
"path": "pw/store.py",
"copies": "1",
"size": "3891",
"license": "mit",
"hash": -2185641017606514400,
"line_mean": 29.3984375,
"line_max": 134,
"alpha_frac": 0.568234387,
"autogenerated": false,
"ratio": 4.152614727854856,
"config_test": false,
"has_no_keywords": f... |
from __future__ import absolute_import, division, print_function
from collections import namedtuple
import logging
import numpy as np
from matplotlib import pyplot as plt
from matplotlib.pyplot import plot, xlabel, ylabel, legend
from scipy.signal import butter, filtfilt
from pambox.central import EC
from pambox.spee... | {
"repo_name": "achabotl/pambox",
"path": "pambox/speech/bsepsm.py",
"copies": "1",
"size": "17156",
"license": "bsd-3-clause",
"hash": 5207471945058299000,
"line_mean": 35.1962025316,
"line_max": 86,
"alpha_frac": 0.5461063185,
"autogenerated": false,
"ratio": 3.652544177134341,
"config_test": ... |
from __future__ import (absolute_import, division, print_function)
from collections import OrderedDict
import copy
import simplejson
import numpy as np
import os
from qtpy.QtCore import Qt
from addie.processing.mantid.master_table.geometry_handler import table2mantid
from addie.processing.mantid.master_table.periodic... | {
"repo_name": "neutrons/FastGR",
"path": "addie/processing/mantid/master_table/master_table_exporter.py",
"copies": "1",
"size": "24786",
"license": "mit",
"hash": -3520647653553857500,
"line_mean": 37.0153374233,
"line_max": 112,
"alpha_frac": 0.5824255628,
"autogenerated": false,
"ratio": 4.377... |
from __future__ import absolute_import, division, print_function
from collections import OrderedDict
import numpy as np
import simdna
from simdna.synthetic import (
RepeatedEmbedder,
SubstringEmbedder,
ReverseComplementWrapper,
UniformPositionGenerator,
InsideCentralBp,
LoadedEncodeMotifs,
P... | {
"repo_name": "Agent007/deepchem",
"path": "deepchem/molnet/dnasim.py",
"copies": "1",
"size": "13518",
"license": "mit",
"hash": -5705314250062408000,
"line_mean": 33.0503778338,
"line_max": 86,
"alpha_frac": 0.6755437195,
"autogenerated": false,
"ratio": 3.86559908492994,
"config_test": false... |
from __future__ import absolute_import, division, print_function
from collections import OrderedDict
import numpy as np
import simdna
from simdna.synthetic import (
RepeatedEmbedder, SubstringEmbedder, ReverseComplementWrapper,
UniformPositionGenerator, InsideCentralBp,
LoadedEncodeMotifs, PwmSamplerFromLoa... | {
"repo_name": "lilleswing/deepchem",
"path": "contrib/dragonn/simulations.py",
"copies": "6",
"size": "13615",
"license": "mit",
"hash": 1127913743723948900,
"line_mean": 36.0980926431,
"line_max": 98,
"alpha_frac": 0.6701432244,
"autogenerated": false,
"ratio": 3.933834151979197,
"config_test"... |
from __future__ import absolute_import, division, print_function
from collections import OrderedDict
import numpy as np
def get_distribution(GC_fraction):
from simdna.util import DiscreteDistribution
return DiscreteDistribution({
'A': (1 - GC_fraction) / 2,
'C': GC_fraction / 2,
'G': GC_fraction... | {
"repo_name": "ktaneishi/deepchem",
"path": "deepchem/molnet/dnasim.py",
"copies": "1",
"size": "14130",
"license": "mit",
"hash": 4402554632414927400,
"line_mean": 33.8888888889,
"line_max": 86,
"alpha_frac": 0.6715498938,
"autogenerated": false,
"ratio": 3.8733552631578947,
"config_test": fal... |
from __future__ import absolute_import, division, print_function
from collections import OrderedDict
import re
import gzip
import os
import json
from simdna import random
import numpy as np
DEFAULT_LETTER_TO_INDEX = {'A': 0, 'C': 1, 'G': 2, 'T': 3}
DEFAULT_BACKGROUND_FREQ = OrderedDict(
[('A', 0.3), ('C', 0.2), ... | {
"repo_name": "kundajelab/simdna",
"path": "simdna/simdnautil/util.py",
"copies": "1",
"size": "10029",
"license": "mit",
"hash": 7032133110976493000,
"line_mean": 29.5762195122,
"line_max": 114,
"alpha_frac": 0.6229933194,
"autogenerated": false,
"ratio": 3.6898454746136866,
"config_test": fal... |
from __future__ import absolute_import, division, print_function
from collections import OrderedDict
import numpy as np
import tensorflow as tf
class ConvNet(object):
"""Basic implementation of ConvNet class compatible with tfutils.
"""
def __init__(
self,
seed=None,
... | {
"repo_name": "neuroailab/tfutils",
"path": "tfutils/model_tool.py",
"copies": "1",
"size": "11940",
"license": "mit",
"hash": -8229830301554185000,
"line_mean": 30.7553191489,
"line_max": 79,
"alpha_frac": 0.4960636516,
"autogenerated": false,
"ratio": 4.124352331606218,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
from collections import OrderedDict
class DeferredLRUCache(object):
"""
An LRU cache with deferred (on-request) writing. When values put back into
the cache, they are flagged as dirty, but are not written to the backend
until ``.flush()`... | {
"repo_name": "storborg/manhattan",
"path": "manhattan/backend/cache.py",
"copies": "1",
"size": "2674",
"license": "mit",
"hash": 5444441400656695000,
"line_mean": 32.425,
"line_max": 79,
"alpha_frac": 0.5833956619,
"autogenerated": false,
"ratio": 4.33387358184765,
"config_test": false,
"ha... |
from __future__ import absolute_import, division, print_function
from .compat import standard_library
import json, ijson
from itertools import chain
def _build_value(data):
''' Build a value (number, array, whatever) from an ijson stream.
'''
for (prefix, event, value) in data:
if event in ('strin... | {
"repo_name": "slibby/machine",
"path": "openaddr/sample.py",
"copies": "1",
"size": "3223",
"license": "isc",
"hash": 5574996323803394000,
"line_mean": 30.9108910891,
"line_max": 88,
"alpha_frac": 0.519081601,
"autogenerated": false,
"ratio": 4.349527665317139,
"config_test": false,
"has_no_... |
from __future__ import absolute_import, division, print_function
from .compat import standard_library
import json
from csv import DictReader
from io import StringIO
from base64 import b64decode
from operator import itemgetter
from os.path import join, dirname, splitext, relpath
from dateutil.parser import parse as par... | {
"repo_name": "slibby/machine",
"path": "openaddr/summarize.py",
"copies": "1",
"size": "5532",
"license": "isc",
"hash": -1113512025995896400,
"line_mean": 28.9027027027,
"line_max": 85,
"alpha_frac": 0.598879248,
"autogenerated": false,
"ratio": 3.735313977042539,
"config_test": false,
"has... |
from __future__ import absolute_import, division, print_function
from configparser import ConfigParser
import os.path
import sys
from future import standard_library
standard_library.install_aliases()
parser = ConfigParser()
path = os.path.split(__file__)[0]
parser.read(os.path.join(path, 'config.ini'))
# File nam... | {
"repo_name": "nickpowersys/CaaR",
"path": "caar/configparser_read.py",
"copies": "1",
"size": "7740",
"license": "bsd-3-clause",
"hash": 1103075953985575300,
"line_mean": 45.9090909091,
"line_max": 126,
"alpha_frac": 0.7237726098,
"autogenerated": false,
"ratio": 2.8033321260412896,
"config_te... |
from __future__ import absolute_import, division, print_function
from contextlib import contextmanager
from functools import wraps
import multiprocess as mp
import os.path as op
import errno
import sys
import os
import pandas as pd
import numpy as np
import click
import six
from .. import util
class DelimitedTuple(... | {
"repo_name": "mirnylab/cooler",
"path": "cooler/cli/_util.py",
"copies": "1",
"size": "6640",
"license": "bsd-3-clause",
"hash": 8058319075600214000,
"line_mean": 29.8837209302,
"line_max": 86,
"alpha_frac": 0.5647590361,
"autogenerated": false,
"ratio": 4.088669950738916,
"config_test": false... |
from __future__ import absolute_import, division, print_function
from copy import copy, deepcopy
from frozendict import frozendict
from namedlist import namedlist
from numpy import allclose, float64, nan
from pandas import DataFrame
from sympy import Min, Piecewise, Symbol
from HelpyFuncs.SymPy import sympy_theanify
fr... | {
"repo_name": "MBALearnsToCode/FinSymPy",
"path": "CorpFin/Capital.py",
"copies": "2",
"size": "22730",
"license": "mit",
"hash": -1337137771020233200,
"line_mean": 43.39453125,
"line_max": 119,
"alpha_frac": 0.5651561813,
"autogenerated": false,
"ratio": 4.518886679920477,
"config_test": false... |
from __future__ import absolute_import, division, print_function
from copy import deepcopy
from datashape.predicates import isscalar
from multipledispatch import MDNotImplementedError
from .expressions import *
from .strings import *
from .arithmetic import *
from .collections import *
from .split_apply_combine impor... | {
"repo_name": "ChinaQuants/blaze",
"path": "blaze/expr/optimize.py",
"copies": "1",
"size": "6959",
"license": "bsd-3-clause",
"hash": -6373915542598529000,
"line_mean": 25.3598484848,
"line_max": 84,
"alpha_frac": 0.6312688605,
"autogenerated": false,
"ratio": 3.5235443037974683,
"config_test"... |
from __future__ import (absolute_import, division, print_function)
from ctypes import byref, create_string_buffer
from logging import getLogger
import ret.dis as dis
from ret.state import (
ArchitectureSimulator, bit_t, int32_t, Function, NamedExpression, State,
Type, UnknownType, void,
)
simlog = getLogger("r... | {
"repo_name": "dacut/ret",
"path": "ret/ia32.py",
"copies": "1",
"size": "8610",
"license": "bsd-2-clause",
"hash": -4776463256657530000,
"line_mean": 34.5785123967,
"line_max": 79,
"alpha_frac": 0.5679442509,
"autogenerated": false,
"ratio": 3.986111111111111,
"config_test": false,
"has_no_k... |
from __future__ import absolute_import, division, print_function
from datetime import date, datetime
from ..expr.core import *
from ..expr.table import *
from ..expr.scalar import *
from ..dispatch import dispatch
__all__ = ['compute']
base = (int, float, str, bool, date, datetime)
@dispatch(base, object)
def comp... | {
"repo_name": "aterrel/blaze",
"path": "blaze/compute/core.py",
"copies": "1",
"size": "1953",
"license": "bsd-3-clause",
"hash": 7564154597021644000,
"line_mean": 23.4125,
"line_max": 78,
"alpha_frac": 0.5801331285,
"autogenerated": false,
"ratio": 3.217462932454695,
"config_test": false,
"h... |
from __future__ import absolute_import, division, print_function
from datetime import datetime
from numpy import nan, isnan
from pandas import DataFrame
from sympy import Eq, Expr, Max, Min, Piecewise, Symbol, symbols
from sympy.printing.theanocode import theano_function
from HelpyFuncs.SymPy import sympy_eval_by_thean... | {
"repo_name": "MBALearnsToCode/CorpFin",
"path": "CorpFin/Valuation.py",
"copies": "2",
"size": "35647",
"license": "mit",
"hash": 7526294460787289000,
"line_mean": 37.4956803456,
"line_max": 117,
"alpha_frac": 0.4961988386,
"autogenerated": false,
"ratio": 3.6791206522860977,
"config_test": fa... |
from __future__ import absolute_import, division, print_function
from datetime import datetime
import errno
import os
import random
import string
import subprocess
import tempfile
from document_clipper import exceptions
class ShellCommand(object):
"""
Make easier to run external programs.
Based on textra... | {
"repo_name": "reclamador/document_clipper",
"path": "document_clipper/utils.py",
"copies": "1",
"size": "4296",
"license": "mit",
"hash": 1515979164283441200,
"line_mean": 32.3023255814,
"line_max": 116,
"alpha_frac": 0.5526070764,
"autogenerated": false,
"ratio": 4.232512315270936,
"config_te... |
from __future__ import absolute_import, division, print_function
from ete3 import Tree
import sys
import operator
#read in a rooted treelist, print out a table of the most probable root splits and their probabilities
trees = []
inh = open(sys.argv[1])
for line in inh:
ct = Tree(line.rstrip())
trees.append(... | {
"repo_name": "Tancata/phylo",
"path": "sgts/marginal_root_probabilities.py",
"copies": "1",
"size": "1523",
"license": "mit",
"hash": -1187991832647919000,
"line_mean": 27.7358490566,
"line_max": 102,
"alpha_frac": 0.6513460276,
"autogenerated": false,
"ratio": 3.1861924686192467,
"config_test... |
from __future__ import absolute_import, division, print_function
from ete3 import Tree
import sys
#read in a rooted treelist, print out a .trees file that RootAnnotator might (?) like
trees = []
inh = open(sys.argv[1])
for line in inh:
ct = Tree(line.rstrip())
trees.append(ct)
inh.close()
leaf_names = []... | {
"repo_name": "Tancata/phylo",
"path": "sgts/format_treelist_for_rootannotator.py",
"copies": "1",
"size": "1107",
"license": "mit",
"hash": -2690309039003195000,
"line_mean": 22.0625,
"line_max": 85,
"alpha_frac": 0.6151761518,
"autogenerated": false,
"ratio": 2.7675,
"config_test": false,
"... |
from __future__ import absolute_import, division, print_function
from fnmatch import fnmatch
def filenames(hdfs, path):
"""
Filenames in Hadoop File System under specific path
Parameters
----------
hdfs: pywebhdfs.webhdfs.PyWebHdfsClient instance
path: string
Directory on HDFS
P... | {
"repo_name": "wiso/dask",
"path": "dask/hdfs_utils.py",
"copies": "14",
"size": "1078",
"license": "bsd-3-clause",
"hash": 3593010836461802000,
"line_mean": 29.8,
"line_max": 70,
"alpha_frac": 0.594619666,
"autogenerated": false,
"ratio": 3.92,
"config_test": false,
"has_no_keywords": false,... |
from __future__ import absolute_import, division, print_function
from functools import partial
from .compatibility import _strtypes
from .compute.spark import *
from .data.utils import coerce
from .dispatch import dispatch
from .expr import Expr
from datashape import discover, var
from collections import Iterator, Ite... | {
"repo_name": "vitan/blaze",
"path": "blaze/spark.py",
"copies": "1",
"size": "1155",
"license": "bsd-3-clause",
"hash": -6546688460158879000,
"line_mean": 23.5744680851,
"line_max": 67,
"alpha_frac": 0.670995671,
"autogenerated": false,
"ratio": 3.2172701949860723,
"config_test": false,
"has... |
from __future__ import (absolute_import, division, print_function)
from functools import total_ordering
class Type(object):
def restrict_with(self, other):
if self == other:
return self
else:
return ConfusedType({self, other})
@total_ordering
class VoidType(Type):
def _... | {
"repo_name": "dacut/ret",
"path": "ret/state.py",
"copies": "1",
"size": "19165",
"license": "bsd-2-clause",
"hash": -1008451455651369600,
"line_mean": 28.8055987558,
"line_max": 79,
"alpha_frac": 0.5819462562,
"autogenerated": false,
"ratio": 4.002715121136173,
"config_test": false,
"has_no... |
from __future__ import absolute_import, division, print_function
from __future__ import unicode_literals
from builtins import *
import logging
import struct
import time
from Crypto.Random.random import StrongRandom as random
from enum import Enum
from . import crypto
from . import util
#
# Common data types
#
def ... | {
"repo_name": "majestrate/i2p-tools",
"path": "pyi2tun/i2p/datatypes.py",
"copies": "1",
"size": "21860",
"license": "mit",
"hash": 5227252736004367000,
"line_mean": 32.0711043873,
"line_max": 107,
"alpha_frac": 0.5280878317,
"autogenerated": false,
"ratio": 3.8384547848990342,
"config_test": f... |
from __future__ import absolute_import, division, print_function
from __future__ import unicode_literals
from builtins import *
import logging
import struct
import time
try:
from Crypto.Random.random import StrongRandom
# Wrap with int() for Py2
random = lambda n : int(StrongRandom().getrandbits(n*8)).to_b... | {
"repo_name": "majestrate/i2p.socket",
"path": "i2p/crypto/datatypes.py",
"copies": "1",
"size": "23219",
"license": "mit",
"hash": 8521610996274852000,
"line_mean": 31.888101983,
"line_max": 107,
"alpha_frac": 0.5297816443,
"autogenerated": false,
"ratio": 3.882126734659756,
"config_test": fal... |
from __future__ import absolute_import, division, print_function
from __future__ import unicode_literals
from builtins import range
from builtins import object
import numpy as np
from scipy.ndimage import interpolation, filters
def scale_to_h(img, target_height, order=1, dtype=np.dtype('f'), cval=0):
h, w = img... | {
"repo_name": "QuLogic/ocropy",
"path": "kraken/lib/lineest.py",
"copies": "1",
"size": "2454",
"license": "apache-2.0",
"hash": -7905637283865201000,
"line_mean": 39.2295081967,
"line_max": 79,
"alpha_frac": 0.5521597392,
"autogenerated": false,
"ratio": 3.6088235294117648,
"config_test": fals... |
from __future__ import absolute_import, division, print_function
from __future__ import unicode_literals
from builtins import zip
from builtins import range
from builtins import object
import unicodedata
import numpy as np
from scipy.ndimage import measurements
from scipy.special import expit
initial_range = 0.1
c... | {
"repo_name": "QuLogic/ocropy",
"path": "kraken/lib/lstm.py",
"copies": "1",
"size": "11417",
"license": "apache-2.0",
"hash": -4976930508321156000,
"line_mean": 34.5669781931,
"line_max": 104,
"alpha_frac": 0.586756591,
"autogenerated": false,
"ratio": 3.492505353319058,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
# from __future__ import unicode_literals
import os
import fnmatch
import sys
import json
def metadatajson():
json_file = json.dumps(
{
"Name": "",
"Description": "",
"HrefAppSession": "",
"Pr... | {
"repo_name": "alaindomissy/docker-crispr",
"path": "files/BACKEND/demo.py",
"copies": "1",
"size": "4083",
"license": "mit",
"hash": -1104634939583395800,
"line_mean": 40.6632653061,
"line_max": 106,
"alpha_frac": 0.6137643889,
"autogenerated": false,
"ratio": 4.14517766497462,
"config_test": ... |
from __future__ import absolute_import, division, print_function
from __future__ import unicode_literals
import os
import re
import zipfile
from pkginfo.distribution import Distribution
wininst_file_re = re.compile(r".*py(?P<pyver>\d+\.\d+)\.exe$")
class WinInst(Distribution):
def __init__(self, filename, met... | {
"repo_name": "dstufft/twine",
"path": "twine/wininst.py",
"copies": "9",
"size": "1624",
"license": "apache-2.0",
"hash": 2465787794247158000,
"line_mean": 29.0740740741,
"line_max": 75,
"alpha_frac": 0.5609605911,
"autogenerated": false,
"ratio": 3.941747572815534,
"config_test": false,
"ha... |
from __future__ import absolute_import, division, print_function
from guitool_ibeis.__PYQT__ import QtCore, QtGui
from guitool_ibeis.__PYQT__ import QtWidgets
from guitool_ibeis.__PYQT__ import GUITOOL_PYQT_VERSION
import utool as ut
ut.noinject(__name__, '[guitool_ibeis.delegates]', DEBUG=False)
class APIDelegate(Qt... | {
"repo_name": "Erotemic/guitool",
"path": "guitool_ibeis/guitool_delegates.py",
"copies": "1",
"size": "3638",
"license": "apache-2.0",
"hash": -5985914987802135000,
"line_mean": 34.6666666667,
"line_max": 77,
"alpha_frac": 0.6401869159,
"autogenerated": false,
"ratio": 4.055741360089186,
"conf... |
from __future__ import absolute_import, division, print_function
from guitool_ibeis.__PYQT__ import QtCore, QtGui
from guitool_ibeis.__PYQT__ import QtWidgets # NOQA
from guitool_ibeis.__PYQT__.QtCore import Qt
import math
import utool
import six
utool.noinject(__name__, '[StripProxyModel]', DEBUG=False)
#STRIPE_PRO... | {
"repo_name": "Erotemic/guitool",
"path": "guitool_ibeis/stripe_proxy_model.py",
"copies": "1",
"size": "5464",
"license": "apache-2.0",
"hash": 2820186070646117400,
"line_mean": 36.4246575342,
"line_max": 108,
"alpha_frac": 0.6361639824,
"autogenerated": false,
"ratio": 3.4321608040201004,
"co... |
from __future__ import absolute_import, division, print_function
from guitool_ibeis.__PYQT__ import QtCore, QtGui
from guitool_ibeis.__PYQT__ import QtWidgets # NOQA
import six
import utool
import sys
import logging
from six.moves import range
from guitool_ibeis.guitool_decorators import slot_
from guitool_ibeis impor... | {
"repo_name": "Erotemic/guitool",
"path": "guitool_ibeis/guitool_misc.py",
"copies": "1",
"size": "7968",
"license": "apache-2.0",
"hash": 8828968360305911000,
"line_mean": 30.2470588235,
"line_max": 177,
"alpha_frac": 0.5857178715,
"autogenerated": false,
"ratio": 3.700882489549466,
"config_te... |
from __future__ import absolute_import, division, print_function
from guitool_ibeis.__PYQT__ import QtGui, QtCore # NOQA
#from guitool_ibeis import guitool_components
#(print, print_, printDBG, rrr, profile) = utool.inject(__name__, '[APIButtonWidget]', DEBUG=False)
import utool as ut
ut.noinject(__name__, '[api_times... | {
"repo_name": "Erotemic/guitool",
"path": "guitool_ibeis/api_timestamp_delegate.py",
"copies": "1",
"size": "2300",
"license": "apache-2.0",
"hash": 1071705599564313100,
"line_mean": 38.6551724138,
"line_max": 99,
"alpha_frac": 0.5865217391,
"autogenerated": false,
"ratio": 3.5881435257410295,
... |
from __future__ import absolute_import, division, print_function
from guitool_ibeis.__PYQT__ import QtGui, QtCore # NOQA
from guitool_ibeis.__PYQT__ import QtWidgets # NOQA
from guitool_ibeis import guitool_components
import utool
#(print, print_, printDBG, rrr, profile) = utool.inject(__name__, '[APIButtonWidget]', ... | {
"repo_name": "Erotemic/guitool",
"path": "guitool_ibeis/api_button_delegate.py",
"copies": "1",
"size": "7686",
"license": "apache-2.0",
"hash": -4918361990995301000,
"line_mean": 39.6666666667,
"line_max": 104,
"alpha_frac": 0.5965391621,
"autogenerated": false,
"ratio": 3.473113420695888,
"c... |
from __future__ import absolute_import, division, print_function
from guitool_ibeis.__PYQT__ import QtGui, QtCore # NOQA
from guitool_ibeis.__PYQT__.QtCore import Qt
import utool
utool.noinject(__name__, '[APIItemView]', DEBUG=False)
#BASE_CLASS = QtGui.QAbstractProxyModel
try:
BASE_CLASS = QtGui.QSortFilterProx... | {
"repo_name": "Erotemic/guitool",
"path": "guitool_ibeis/filter_proxy_model.py",
"copies": "1",
"size": "4238",
"license": "apache-2.0",
"hash": 9096966263062906000,
"line_mean": 37.5272727273,
"line_max": 108,
"alpha_frac": 0.6309579991,
"autogenerated": false,
"ratio": 3.5228595178719866,
"co... |
from __future__ import absolute_import, division, print_function
#from guitool_ibeis.__PYQT__.QtCore import Qt
import six
from guitool_ibeis.__PYQT__.QtCore import QLocale
import utool as ut
import uuid
import numpy as np
from guitool_ibeis.__PYQT__ import QtGui
from guitool_ibeis.guitool_decorators import checks_qt_er... | {
"repo_name": "Erotemic/guitool",
"path": "guitool_ibeis/qtype.py",
"copies": "1",
"size": "5917",
"license": "apache-2.0",
"hash": -2071116270386251800,
"line_mean": 33.0057471264,
"line_max": 100,
"alpha_frac": 0.6195707284,
"autogenerated": false,
"ratio": 3.258259911894273,
"config_test": f... |
from __future__ import absolute_import, division, print_function
from h2o.frame import H2OFrame
import pandas as pd
from .base import check_frame
from ..utils import flatten_all
__all__ = [
'_check_is_1d_frame',
'as_series',
'is_numeric',
'is_integer',
'is_float',
'value_counts'
]
def _check_... | {
"repo_name": "tgsmith61591/skutil",
"path": "skutil/h2o/frame.py",
"copies": "1",
"size": "2578",
"license": "bsd-3-clause",
"hash": -8104464553022159000,
"line_mean": 17.1549295775,
"line_max": 64,
"alpha_frac": 0.5589604344,
"autogenerated": false,
"ratio": 3.2632911392405064,
"config_test":... |
from __future__ import absolute_import, division, print_function
from horton import *
import numpy as np
from itertools import *
from math import *
from random import *
class Fields(object):
def __init__(self, mol, samples=50, F=0.00005, x=2**0.5 ,f=None):
'''
This class generate fields needed... | {
"repo_name": "fhqgfss/polar",
"path": "polar/fields_generate.py",
"copies": "1",
"size": "4075",
"license": "mit",
"hash": -3923450697741510000,
"line_mean": 23.5481927711,
"line_max": 75,
"alpha_frac": 0.4645398773,
"autogenerated": false,
"ratio": 4.162410623084781,
"config_test": false,
"... |
from __future__ import absolute_import, division, print_function
from itertools import izip
import utool
from PyQt4 import QtGui, QtCore
from PyQt4.QtCore import Qt
from PyQt4.QtGui import QAbstractItemView
(print, print_, printDBG, rrr, profile) = utool.inject(__name__, '[rowidtables]', DEBUG=False)
from ibeis.contro... | {
"repo_name": "SU-ECE-17-7/ibeis",
"path": "_broken/uidtables.py",
"copies": "1",
"size": "13690",
"license": "apache-2.0",
"hash": 8445031291241380000,
"line_mean": 37.6723163842,
"line_max": 94,
"alpha_frac": 0.588312637,
"autogenerated": false,
"ratio": 3.3686023622047245,
"config_test": fal... |
from __future__ import absolute_import, division, print_function
from itertools import product
from math import ceil
import numpy as np
import pandas as pd
import h5py
try:
from sparse import COO
except ImportError:
raise ImportError("The 'sparse' package is required to use dask")
from dask.base import token... | {
"repo_name": "mirnylab/cooler",
"path": "cooler/sandbox/dask.py",
"copies": "1",
"size": "5791",
"license": "bsd-3-clause",
"hash": -4737585745493024000,
"line_mean": 29.9679144385,
"line_max": 86,
"alpha_frac": 0.6118114315,
"autogenerated": false,
"ratio": 3.4145047169811322,
"config_test": ... |
from __future__ import (absolute_import, division, print_function)
from logging import getLogger
from PySide import QtCore, QtGui
from ret.elf import RetkitElfDocument
from .ConsoleWindow import ConsoleWindow
from .Ui_RetWindow import Ui_RetWindow
log = getLogger("ret.ui.qt")
class FunctionTableModel(QtCore.QAbstract... | {
"repo_name": "dacut/ret",
"path": "ret/ui/qt/RetWindow.py",
"copies": "1",
"size": "8280",
"license": "bsd-2-clause",
"hash": 3516664332717719600,
"line_mean": 31.2178988327,
"line_max": 77,
"alpha_frac": 0.604589372,
"autogenerated": false,
"ratio": 4.323759791122716,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
from lxml import etree
from symantecssl import utils
from symantecssl.response_models import (
OrderDetails, OrderDetail, OrderContacts, QuickOrderResponse,
ReissueResponse
)
class ApproverEmail(object):
def __init__(self):
self.ap... | {
"repo_name": "glyph/symantecssl",
"path": "symantecssl/request_models.py",
"copies": "3",
"size": "24351",
"license": "apache-2.0",
"hash": 6320309869735386000,
"line_mean": 34.3425253991,
"line_max": 79,
"alpha_frac": 0.633608476,
"autogenerated": false,
"ratio": 4.307624270298956,
"config_te... |
from __future__ import absolute_import, division, print_function
from lxml import etree
from symantecssl import utils
class OrderContacts(object):
def __init__(self):
self.admin = ContactInfo()
self.tech = ContactInfo()
self.billing = ContactInfo()
self.approval_email = ''
@... | {
"repo_name": "glyph/symantecssl",
"path": "symantecssl/models.py",
"copies": "4",
"size": "4920",
"license": "apache-2.0",
"hash": 8629635064549396000,
"line_mean": 31.8,
"line_max": 78,
"alpha_frac": 0.5786585366,
"autogenerated": false,
"ratio": 4.076222038111019,
"config_test": false,
"ha... |
from __future__ import absolute_import, division, print_function
from lxml import etree
NS = {
'm': 'http://api.geotrust.com/webtrust/query'
}
ONS = {
'm': 'http://api.geotrust.com/webtrust/order'
}
SOAP_NS = {
'soap': 'http://schemas.xmlsoap.org/soap/envelope/'
}
DEFAULT_NS = {
None: 'http://api.ge... | {
"repo_name": "cloudkeep/symantecssl",
"path": "symantecssl/utils.py",
"copies": "4",
"size": "1095",
"license": "apache-2.0",
"hash": 824226561915554800,
"line_mean": 18.9090909091,
"line_max": 64,
"alpha_frac": 0.6365296804,
"autogenerated": false,
"ratio": 3.2882882882882885,
"config_test": ... |
from __future__ import (absolute_import, division, print_function)
from mantid.api import AnalysisDataService
import mantid.simpleapi as simpleapi
import os
import addie.utilities
class AddieDriver(object):
"""
Driver for addie application
"""
def __init__(self):
""" Initialization
R... | {
"repo_name": "neutrons/FastGR",
"path": "addie/addiedriver.py",
"copies": "1",
"size": "17891",
"license": "mit",
"hash": 60205820418282310,
"line_mean": 33.472061657,
"line_max": 119,
"alpha_frac": 0.5454138953,
"autogenerated": false,
"ratio": 3.9088922875245795,
"config_test": false,
"has... |
from __future__ import absolute_import, division, print_function
from meta_util_git import set_userid, unixpath, repo_list
set_userid(userid='Erotemic',
owned_computers=['Hyrule', 'BakerStreet', 'Ooo'],
permitted_repos=['pyrf', 'detecttools'])
# USER DEFINITIONS
HOME_DIR = unixpath('~')
CODE... | {
"repo_name": "bluemellophone/detecttools",
"path": "detecttools/gitutil/__REPOS__.py",
"copies": "1",
"size": "2199",
"license": "apache-2.0",
"hash": 7338392238598697000,
"line_mean": 33.359375,
"line_max": 64,
"alpha_frac": 0.6807639836,
"autogenerated": false,
"ratio": 2.6557971014492754,
"... |
from __future__ import absolute_import, division, print_function
from mybuild._compat import *
import functools
import unittest
from mybuild.req import pgraph
from mybuild.req.solver import (ComparableSolution,
create_trunk,
solve_trunk,
... | {
"repo_name": "embox/mybuild",
"path": "tests/test_solver.py",
"copies": "2",
"size": "8677",
"license": "bsd-2-clause",
"hash": -8386382138881340000,
"line_mean": 26.8108974359,
"line_max": 79,
"alpha_frac": 0.5239137951,
"autogenerated": false,
"ratio": 3.070417551309271,
"config_test": true,... |
from __future__ import absolute_import, division, print_function
from OpenGL.GL import *
from OpenGL.GLUT import *
from OpenGL.GLU import *
import scipy, numpy
import sys
import logging
__EXPECTED_VERSION__ = '(2, 7)'
if str(sys.version_info[:2]) != __EXPECTED_VERSION__:
print("Unexpected Python version, attemptin... | {
"repo_name": "LightStage-Aber/LightStage-Repo",
"path": "src/run.py",
"copies": "1",
"size": "13183",
"license": "apache-2.0",
"hash": -8618785350845284000,
"line_mean": 36.6657142857,
"line_max": 168,
"alpha_frac": 0.5577637867,
"autogenerated": false,
"ratio": 3.4055799535003874,
"config_tes... |
from __future__ import absolute_import, division, print_function
from operator import add
import os.path as op
from cooler import tools
import cooler
testdir = op.realpath(op.dirname(__file__))
datadir = op.join(testdir, "data")
def test_datapipe():
inputs = {'a': 1, 'b': 2, 'c': 3, 'd': 4}
keys = ['a', 'b'... | {
"repo_name": "mirnylab/cooler",
"path": "tests/test_tools.py",
"copies": "1",
"size": "1916",
"license": "bsd-3-clause",
"hash": 6089784645849570000,
"line_mean": 25.985915493,
"line_max": 64,
"alpha_frac": 0.5981210856,
"autogenerated": false,
"ratio": 3.080385852090032,
"config_test": false,... |
from __future__ import absolute_import, division, print_function
from os.path import expanduser, normpath, realpath, join
import os
from itertools import izip
import platform
USER_ID = None
IS_USER = False
PERMITTED_REPOS = []
format_dict = {
'https': ('.com/', 'https://'),
'ssh': ('.com:', 'git@'),
}
de... | {
"repo_name": "bluemellophone/detecttools",
"path": "detecttools/gitutil/meta_util_git.py",
"copies": "1",
"size": "3467",
"license": "apache-2.0",
"hash": 4236241261945843000,
"line_mean": 25.465648855,
"line_max": 85,
"alpha_frac": 0.5895586963,
"autogenerated": false,
"ratio": 3.16043755697356... |
from __future__ import absolute_import, division, print_function
from os.path import join as pjoin
from distutils.extension import Extension
from Cython.Distutils import build_ext
import numpy
#from Cython.Build import cythonize
# Format expected by setup.py and doc/source/conf.py: string of form "X.Y.Z"
_version_major... | {
"repo_name": "ramansbach/cluster_analysis",
"path": "clustering/version.py",
"copies": "1",
"size": "2920",
"license": "mit",
"hash": -5033089658255687000,
"line_mean": 35.5,
"line_max": 80,
"alpha_frac": 0.6753424658,
"autogenerated": false,
"ratio": 3.777490297542044,
"config_test": false,
... |
from __future__ import absolute_import, division, print_function
from os.path import join as pjoin
# Format expected by setup.py and doc/source/conf.py: string of form "X.Y.Z"
_version_major = 0
_version_minor = 1
_version_micro = '' # use '' for first of series, number for 1 and above
_version_extra = 'dev1'
_versio... | {
"repo_name": "UWPRG/Gaussian",
"path": "gparse/gparse/version.py",
"copies": "1",
"size": "2139",
"license": "mit",
"hash": -6637178724243616000,
"line_mean": 31.4090909091,
"line_max": 79,
"alpha_frac": 0.693314633,
"autogenerated": false,
"ratio": 3.553156146179402,
"config_test": false,
"... |
from __future__ import absolute_import, division, print_function
from os.path import join
import six
import utool as ut
from six.moves import range, zip, map # NOQA
from ibeis.algo.hots import _pipeline_helpers as plh # NOQA
from ibeis.algo.hots.neighbor_index import NeighborIndex, get_support_data
(print, rrr, profi... | {
"repo_name": "SU-ECE-17-7/ibeis",
"path": "ibeis/algo/hots/neighbor_index_cache.py",
"copies": "1",
"size": "33269",
"license": "apache-2.0",
"hash": -6750878788668231000,
"line_mean": 40.3279503106,
"line_max": 183,
"alpha_frac": 0.6260482732,
"autogenerated": false,
"ratio": 3.2725752508361206... |
from __future__ import absolute_import, division, print_function
from panoptes_client.subject_workflow_status import SubjectWorkflowStatus
_OLD_STR_TYPES = (str,)
try:
_OLD_STR_TYPES = _OLD_STR_TYPES + (unicode,)
except NameError:
pass
from builtins import range, str
import logging
import requests
import thr... | {
"repo_name": "zooniverse/panoptes-python-client",
"path": "panoptes_client/subject.py",
"copies": "1",
"size": "8984",
"license": "apache-2.0",
"hash": -4494473678493628400,
"line_mean": 31.5507246377,
"line_max": 93,
"alpha_frac": 0.535284951,
"autogenerated": false,
"ratio": 4.684045881126173,... |
from __future__ import (absolute_import, division, print_function)
from past.builtins import basestring
from tmpl import context
class Jinja2Template(context.Template):
def __init__(self, tmpl, **kwargs):
self.tmpl = tmpl
super(Jinja2Template, self).__init__(**kwargs)
def render(self, env):
... | {
"repo_name": "20c/twentyc.tmpl",
"path": "tmpl/engine.py",
"copies": "1",
"size": "4201",
"license": "apache-2.0",
"hash": -5203081131354617000,
"line_mean": 24.4606060606,
"line_max": 91,
"alpha_frac": 0.5803380148,
"autogenerated": false,
"ratio": 4.436114044350581,
"config_test": false,
"... |
from __future__ import absolute_import, division, print_function
from plottool_ibeis import custom_figure
import utool as ut
#(print, print_, printDBG, rrr, profile) = utool.inject(__name__,
# '[interact_helpers]',
# ... | {
"repo_name": "Erotemic/plottool",
"path": "plottool_ibeis/interact_helpers.py",
"copies": "1",
"size": "3185",
"license": "apache-2.0",
"hash": 1946829528197544200,
"line_mean": 29.0471698113,
"line_max": 90,
"alpha_frac": 0.598744113,
"autogenerated": false,
"ratio": 3.546770601336303,
"confi... |
from __future__ import absolute_import, division, print_function
from psychopy import core
import serial
import serial.tools.list_ports
import time
from decimal import Decimal
from threading import Thread, Event
class SRBox():
def __init__(self, port=None, baudrate=19200, timeout=0):
self.port = port
... | {
"repo_name": "NickAnderegg/rpacr-mazeexperiment",
"path": "mazeexperiment/experiment/srbox.py",
"copies": "2",
"size": "8061",
"license": "mit",
"hash": 2455211230294723600,
"line_mean": 30.1235521236,
"line_max": 99,
"alpha_frac": 0.5298350081,
"autogenerated": false,
"ratio": 4.098118962887646... |
from __future__ import absolute_import, division, print_function
from pudb.py3compat import PY3
# {{{ breakpoint validity
def generate_executable_lines_for_code(code):
l = code.co_firstlineno
yield l
if PY3:
for c in code.co_lnotab[1::2]:
l += c
yield l
else:
f... | {
"repo_name": "albfan/pudb",
"path": "pudb/lowlevel.py",
"copies": "1",
"size": "5447",
"license": "mit",
"hash": -6303367642947772000,
"line_mean": 25.7009803922,
"line_max": 78,
"alpha_frac": 0.6146502662,
"autogenerated": false,
"ratio": 3.9788166544923302,
"config_test": false,
"has_no_ke... |
from __future__ import absolute_import, division, print_function
from _pytest.main import EXIT_NOTESTSCOLLECTED
import pytest
import gc
def test_simple_unittest(testdir):
testpath = testdir.makepyfile("""
import unittest
class MyTestCase(unittest.TestCase):
def testpassing(self):
... | {
"repo_name": "flub/pytest",
"path": "testing/test_unittest.py",
"copies": "1",
"size": "25123",
"license": "mit",
"hash": 3406843532787892000,
"line_mean": 29.8257668712,
"line_max": 95,
"alpha_frac": 0.5417346654,
"autogenerated": false,
"ratio": 4.433992234380515,
"config_test": true,
"has... |
from __future__ import absolute_import, division, print_function
from _pytest.main import EXIT_NOTESTSCOLLECTED
import pytest
import gc
def test_simple_unittest(testdir):
testpath = testdir.makepyfile("""
import unittest
class MyTestCase(unittest.TestCase):
def testpassing(self):
... | {
"repo_name": "MichaelAquilina/pytest",
"path": "testing/test_unittest.py",
"copies": "1",
"size": "25470",
"license": "mit",
"hash": 6252194707594892000,
"line_mean": 29.5762304922,
"line_max": 95,
"alpha_frac": 0.539183353,
"autogenerated": false,
"ratio": 4.452018877818563,
"config_test": tr... |
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