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"""A .. collapse:: directive for sphinx-bootstrap-theme."""
import os.path as op
from docutils import nodes
from docutils.parsers.rst.directives import flag, class_option
from docutils.parsers.rst.roles import set_classes
from docutils.statemachine import StringList
from sphinx.locale import _
from sphinx.util.docuti... | {
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"""A .. collapse:: directive for sphinx-bootstrap-theme."""
import os.path as op
from docutils import nodes
from docutils.parsers.rst.directives import flag
from sphinx.locale import _
from sphinx.util.docutils import SphinxDirective
from sphinx.util.fileutil import copy_asset
this_dir = op.dirname(__file__)
__vers... | {
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"path": "doc/sphinxext/sphinx_bootstrap_divs/__init__.py",
"copies": "1",
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"""A collection base class"""
class Collection():
"""A collection base class that introduces nested getting and setting"""
#The default value for get_in; normally None
DFLT = None
def get(self, index, dflt=None):
"""This method needs to be implemented to subclass Collection"""
raise No... | {
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"""A collection of agents written in Python"""
from __future__ import unicode_literals, print_function
from cyclus.agents import Region, Institution, Facility
from cyclus import typesystem as ts
class NullRegion(Region):
"""A simple do nothing region."""
class NullInst(Institution):
"""An instition that own... | {
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"""A collection of analytical results which return the exact solution to a
trial problem to benchmark particle movers
Includes:
* Motion in a constant electric field
* Motion in a constant magnetic field
* Crossed motion in perpendicular electric and magnetic fields
"""
__author__ = 'swebb'
import numpy as np
impo... | {
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"path": "experimental/ode/PtclTests.py",
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"""a collection of Annotation-related models"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from flask_appbuilder import Model
from sqlalchemy import (
Column, DateTime, ForeignKey, Index, Integer, String, Text... | {
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"path": "superset/models/annotations.py",
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"""A collection of base classes and utility objects for building an abstract
syntax tree representing a Mathematica program. """
from typing import List
from Types import TypeBase, SymbolType
class ASTNode:
"""
The base class of all AST node classes.
"""
def __init__(self, children: list('ASTNode')... | {
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"copies": "1",
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"""A collection of bits that can be set, cleared, and toggled by number.
Based on code from https://wiki.python.org/moin/BitArrays and converted to
a class-based version for ease of use.
"""
__author__ = 'Brian Landers <brian@packetslave.com>'
import array
class BitField(object):
"""A collection of bits that c... | {
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"""A collection of cards."""
import random
from csrv.model import cards
from csrv.model.cards import card_info
# This import is just to pull in all the card definitions
import csrv.model.cards.corp
import csrv.model.cards.runner
class Deck(object):
def __init__(self, identity_name, card_names):
self.identity... | {
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"path": "csrv/model/deck.py",
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""" A collection of Chaco tools that respond to a multi-pointer interface
"""
from numpy import asarray, dot, sqrt
# Enthought library imports
from traits.api import Delegate, Dict, Enum, Instance, Int, Property, Trait, Tuple, CArray
# Chaco imports
from chaco.api import BaseTool
from chaco.tools.api import PanTool, ... | {
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''' A collection of classes and functions for retrieving entries from an Atom
feed.
Atom standard: https://en.wikipedia.org/wiki/Atom_(standard)
'''
from helpers.content import Content
from helpers.xmlnode import get_feed
NS_FORMAT = '{{http://www.w3.org/2005/Atom}}{tag}'
ENTRY_TAG = NS_FORMAT.format(tag... | {
"repo_name": "foldr/collector-atom",
"path": "atom.py",
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''' A collection of classes for generating XML documents lazily from an
iterable stream of data.
'''
from functools import partial
from itertools import islice
from urllib.request import urlopen
from xml.etree.ElementTree import XMLPullParser
def nth(iterable, n):
''' Returns the nth item of an iterab... | {
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"""A collection of classes that are part of the standard runtime environment."""
class RuntimeException(Exception):
"""A runtime exception."""
def __init__(self, message):
super().__init__("RuntimeException: " + message)
class NamespaceException(RuntimeException):
"""A namespace exception."""
... | {
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"""A collection of classes to make working with energy and reserve offers
from the New Zealand Electricity Market a bit more painless.
Contains a master class, Offer, which publically exposed subclasses
inherit from.
This master class contains the code necessary for the exposed subclasses
to function.
"""
# Standard ... | {
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"""A collection of classes, which can check table rows for conditions."""
class Condition:
"""Base class for all condition checks."""
pass
class OneOf(Condition):
"""Class for checking, if a certain field in part of a list of items."""
def __init__(self, field, lst):
"""Store field name and... | {
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"path": "wca_api/conditions.py",
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"""A collection of code for exporting reports in Markdown
This rendering is helpful for manual inspection of results either by command
line or in GitHub. Useful for dev work. Useful too for dumping a quick snapshot
in GitHub for others to use. It may make sense to move this code to a dedicated
package at some point. I... | {
"repo_name": "jfalkner/report_metrics",
"path": "report_metrics/utils/html.py",
"copies": "1",
"size": "7202",
"license": "mit",
"hash": -3564947311819123000,
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"autogenerated": false,
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''' A collection of code to facilitate NPC generation using FATE-style aspects, personality traits, and other information rather than system-dependent stats. '''
# Date: Dec 26 2014
# Author: Alex Safatli
# Email: safatli@cs.dal.ca
class character(object):
def __init__(self,name,traits=None):
self... | {
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""" A collection of command-line tools for building encoded update.xml
files.
"""
import warnings
warnings.warn("Module is deprecated.", DeprecationWarning)
from .info_file import InfoFile
import os
def files2xml(filenames):
""" Given a list of filenames, extracts the app version and log
information from ac... | {
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"path": "enthought/util/updates/tools.py",
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#A Collection of commonly used fabric scripts.
import re
from fabric.api import env, local, settings
from fabric.context_managers import hide
from fabric.operations import put, get
import cuisine
from cuisine import run, sudo
from fabric.api import parallel
from random import choice
import string
import socket
import ... | {
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'''A collection of common threadsafe data structures, adapted to the dnutils thread model'''
'''A multi-producer, multi-consumer queue.'''
from dnutils import threads
from collections import deque
from heapq import heappush, heappop
from time import monotonic as time
__all__ = ['Empty', 'Full', 'Queue', 'PriorityQue... | {
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"""A collection of converters, and converter creators
For the purposes of this module, a converter is any function that takes a single value and returns
another value.
"""
from decimal import Decimal
from uuid import UUID, uuid4
from bidon.util import date
def identity(val):
"""Returns the value it is given."""
... | {
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"""A collection of converters, and converter creators
For the purposes of this module, a converter is any function that takes a single value and returns
another value.
"""
import arrow
from decimal import Decimal
from uuid import UUID, uuid4
from datetime import datetime, timezone, date
from numbers import Number
de... | {
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"""A collection of different tools Samantha might use.
- Updater, to monitor it's sources on GitHub and automatically update to newer
versions, if available and if a certain series of tests passes
"""
###############################################################################
# pylint: disable=global-statement
... | {
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"path": "samantha/tools/__init__.py",
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"""A collection of dpa-specific nuke nodes."""
from collections import defaultdict
import os
import re
import nuke
from dpa.ptask import PTask
from dpa.ptask.area import PTaskArea, PTaskAreaError
from dpa.ptask.spec import PTaskSpec
# -----------------------------------------------------------------------------
# ... | {
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"""A collection of examples for CARLAEnvironment"""
import pygame
from tensorforce import Agent
from tensorforce.environments import CARLAEnvironment
def training_example(num_episodes: int, max_episode_timesteps: int):
# Instantiate the environment (run the CARLA simulator before doing this!)
env = CARLAEnv... | {
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"""A collection of extended path classes and methods
The classes all inherit from the original path.path
"""
import os
from fnmatch import fnmatch
from pysyte.types.lists import flatten
class PathError(Exception):
"""Something went wrong with a path"""
prefix = 'Path Error'
def __init__(self, message):
... | {
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# A collection of failing integrals from the issues.
from sympy import (
integrate, Integral, exp, oo, pi, sign, sqrt, sin, cos, Piecewise,
tan, S, log, gamma, sinh, sec, acos, atan, sech, csch, DiracDelta, Rational
)
from sympy.utilities.pytest import XFAIL, SKIP, slow, skip, ON_TRAVIS
from sympy.abc import... | {
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"""A collection of file system related utilities."""
import logging
import os
import sys
import time
import subprocess
import string
import tempfile
import stat
import shutil
if not hasattr(__builtins__, 'FileExistsError'):
FileExistsError = OSError
if not hasattr(__builtins__, 'FileNotFoundError'):
FileNotFou... | {
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"""A collection of functional primitives"""
from functools import wraps, partial
from functools import reduce as _reduce
from inspect import getargspec
def curry(fun):
"""
A working but dirty version of a currying function/decorator.
"""
def _internal_curry(fun, original=None, given=0):
if ori... | {
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"""A collection of functional-programming primitives, loosely modeled after
ramda.js (http://ramdajs.com/).
Basic philosophy for all functions in this module:
- Prefer immutable data structures; particularly, prefer tuples over lists.
- Pure functions (none of the functions in this module have any observable side
e... | {
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"path": "papi/fp.py",
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"""A collection of functions designed to help I/O with ascii files."""
__docformat__ = "restructuredtext en"
import numpy as np
import numpy.core.numeric as nx
from __builtin__ import bool, int, long, float, complex, object, unicode, str
def _is_string_like(obj):
"""
Check whether obj behaves like a string.
... | {
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"""A collection of functions designed to help I/O with ascii files."""
__docformat__ = "restructuredtext en"
import sys
import numpy as np
import numpy.core.numeric as nx
from __builtin__ import bool, int, long, float, complex, object, unicode, str
from numpy.compat import asbytes, bytes, asbytes_nested
if sys.versi... | {
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"""A collection of functions designed to help I/O with ascii files.
"""
__docformat__ = "restructuredtext en"
import numpy as np
import numpy.core.numeric as nx
from numpy.compat import asbytes, asunicode, bytes
def _decode_line(line, encoding=None):
"""Decode bytes from binary input streams.
Defaults to d... | {
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"""A collection of functions designed to help I/O with ascii files.
"""
from __future__ import division, absolute_import, print_function
__docformat__ = "restructuredtext en"
import sys
import numpy as np
import numpy.core.numeric as nx
from numpy.compat import asbytes, asunicode, bytes, asbytes_nested, basestring
... | {
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#A collection of functions for dealing with Dadi models
# A. Kern
import dadi
import numpy
import scipy
import pylab
#import nlopt
######### Demographic stuff
def OutOfAfricaGrowB((nuAf, nuEu0, nuEu, nuNA0, nuNA,
TAf, TB, TEuNA, p_misid), (n1,n2,n3), pts):
xx = dadi.Numerics.default_grid(pt... | {
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"path": "dadiStuff/dadiFunctions.py",
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# A collection of functions for processing, manipulating and calculating
# necessary information from tensors
#
# Aim for unifiying the API among numpy, tensorflow and pytorch.
# Since numpy is most popular framework, the function name is strictly
# following numpy name and arguments.
#
# This software is released unde... | {
"repo_name": "imito/odin",
"path": "odin/backend/tensor.py",
"copies": "1",
"size": "22253",
"license": "mit",
"hash": 5555192174463475000,
"line_mean": 29.0716216216,
"line_max": 80,
"alpha_frac": 0.5900328046,
"autogenerated": false,
"ratio": 3.5066183422628425,
"config_test": false,
"has_... |
""" A collection of functions for RSS feed parsing"""
import discord
from dateutil import parser
import re
from __main__ import botdata
from bs4 import BeautifulSoup
def is_new_blog(entry):
"""Takes the newest dota blog entry, and checks data against record
returns a boolean
updates blog entry if it is new"""
new... | {
"repo_name": "mdiller/MangoByte",
"path": "cogs/utils/rsstools.py",
"copies": "1",
"size": "1917",
"license": "mit",
"hash": 5920055542606382000,
"line_mean": 29.9193548387,
"line_max": 100,
"alpha_frac": 0.710485133,
"autogenerated": false,
"ratio": 3.380952380952381,
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... |
# A collection of functions relating to spacegroup symmetry information
import re
from cctbx import sgtbx
from cctbx.sgtbx.bravais_types import bravais_lattice
_int_re = re.compile("^[0-9]*$")
def get_pointgroup(name):
"""Get the pointgroup for this spacegroup, e.g. P422 for P43212."""
space_group = sgtbx... | {
"repo_name": "xia2/xia2",
"path": "src/xia2/Handlers/Syminfo.py",
"copies": "1",
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"license": "bsd-3-clause",
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""" A collection of functions to assist with archiving/restoring epoch files.
Epoch files are the few files which can change from one backup to the next and so must be
date stamped to differentiate multiple backups from each other.
Typically only archive_epoch_files and restore_epoch_files are called
Copyr... | {
"repo_name": "tkuhlman/vertica-swift-backup",
"path": "vertica_backup/epoch.py",
"copies": "1",
"size": "3058",
"license": "mit",
"hash": -5792982280293207000,
"line_mean": 42.6857142857,
"line_max": 102,
"alpha_frac": 0.6899934598,
"autogenerated": false,
"ratio": 4.013123359580052,
"config_t... |
"""A collection of functions to summarize object information.
This module provides several function which will help you to analyze object
information which was gathered. Often it is sufficient to work with aggregated
data instead of handling the entire set of existing objects. For example can a
memory leak identified ... | {
"repo_name": "swiftstack/pympler",
"path": "pympler/summary.py",
"copies": "3",
"size": "10768",
"license": "apache-2.0",
"hash": 3904276591235828700,
"line_mean": 32.2345679012,
"line_max": 79,
"alpha_frac": 0.6029903418,
"autogenerated": false,
"ratio": 3.8650394831299355,
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"""A collection of functions which act on surfaces or lists of surfaces."""
from collections import defaultdict
from itertools import combinations
from typing import Dict, List, Tuple, Union # noqa
import warnings
from eppy.bunch_subclass import EpBunch # noqa
from eppy.idf_msequence import Idf_MSequence # noqa
fro... | {
"repo_name": "jamiebull1/geomeppy",
"path": "geomeppy/geom/surfaces.py",
"copies": "1",
"size": "7663",
"license": "mit",
"hash": -8191508465568749000,
"line_mean": 37.315,
"line_max": 119,
"alpha_frac": 0.661490278,
"autogenerated": false,
"ratio": 3.427101967799642,
"config_test": false,
"... |
'A collection of general purpose tools for reading files'
# Copyright (c) 2008-2015 MetPy Developers.
# Distributed under the terms of the BSD 3-Clause License.
# SPDX-License-Identifier: BSD-3-Clause
from __future__ import print_function
import logging
import zlib
from collections import namedtuple
from struct impor... | {
"repo_name": "deeplycloudy/MetPy",
"path": "metpy/io/tools.py",
"copies": "1",
"size": "8391",
"license": "bsd-3-clause",
"hash": -1679596973043277300,
"line_mean": 28.0346020761,
"line_max": 91,
"alpha_frac": 0.5780002384,
"autogenerated": false,
"ratio": 3.737639198218263,
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"""A collection of helper/utility functions."""
import re
from . import exceptions as ex
API_ENDPOINT = 'https://api.emailhunter.co/v1/'
EMAIL_URL = API_ENDPOINT + 'verify?email={0}&api_key={1}'
DOMAIN_URL = (API_ENDPOINT + 'search?domain={0}&api_key={1}'
'&offset={2}&type={3}')
EMAIL_RE = re.compil... | {
"repo_name": "jgoodlet/punter",
"path": "punter/helpers.py",
"copies": "1",
"size": "2663",
"license": "mit",
"hash": 5843302513730481000,
"line_mean": 29.9651162791,
"line_max": 71,
"alpha_frac": 0.5846789335,
"autogenerated": false,
"ratio": 3.5131926121372032,
"config_test": false,
"has_n... |
"""A collection of helpul utility functions for analysis of pypsych outputs."""
import pandas as pd
import numpy as np
def collapse_bins(df, prefixes):
"""Collapse (mean) any columns that start with each prefix."""
for prefix in prefixes:
sel = [colname.startswith(prefix) for colname in df.columns]
... | {
"repo_name": "janmtl/pypsych",
"path": "pypsych/utils.py",
"copies": "1",
"size": "1894",
"license": "bsd-3-clause",
"hash": -2243172058632679700,
"line_mean": 32.2280701754,
"line_max": 80,
"alpha_frac": 0.6404435058,
"autogenerated": false,
"ratio": 3.3228070175438598,
"config_test": false,
... |
"""A collection of hemodynamic response functions. """
import numpy as np
import nitime as nt
import roi
def double_gamma(self, width=32, a1=6.0, a2=12.0, b1=0.9, b2=0.9, c=0.35):
""" Returns a HRF. Defaults are the canonical parameters. """
x_range = np.arange(0, width, self.TR)
d1 = a1 * b1
d2... | {
"repo_name": "parenthetical-e/roi",
"path": "hrfs.py",
"copies": "1",
"size": "2142",
"license": "bsd-2-clause",
"hash": -6316221245319187000,
"line_mean": 29.6,
"line_max": 75,
"alpha_frac": 0.6209150327,
"autogenerated": false,
"ratio": 3.15,
"config_test": false,
"has_no_keywords": false,... |
"""A collection of hemodynamic response functions."""
import numpy as np
import scipy.stats as stats
from modelmodel.misc import process_prng
def double_gamma(width=32, TR=1, a1=6.0, a2=12., b1=0.9, b2=0.9, c=0.35):
"""
Returns a HRF. Defaults are the canonical parameters.
"""
x_range = np.arange(0,... | {
"repo_name": "parenthetical-e/modelmodel",
"path": "hrf.py",
"copies": "1",
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"license": "bsd-2-clause",
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"line_max": 100,
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"""A collection of hemodynamic response functions."""
import numpy as np
import scipy.stats as stats
def double_gamma(width=32, TR=1, a1=6.0, a2=12., b1=0.9, b2=0.9, c=0.35):
"""
Returns a HRF. Defaults are the canonical parameters.
"""
x_range = np.arange(0,width,TR)
d1 = a1*b1
... | {
"repo_name": "parenthetical-e/simfMRI",
"path": "hrf.py",
"copies": "1",
"size": "2066",
"license": "bsd-2-clause",
"hash": -6016286430809220000,
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... |
## A collection of important functions
#----------------------------------------------------------------------
# The idea is to collect all tasks in separate (small) functions to
# clearly arange the code.
## Import modules
#----------------------------------------------------------------------
import sys
import pdb
... | {
"repo_name": "Steffen1989/GenPipeMesh",
"path": "nek_utils.py",
"copies": "1",
"size": "116398",
"license": "mit",
"hash": 3198261230777750000,
"line_mean": 49.0176192523,
"line_max": 116,
"alpha_frac": 0.4593310479,
"autogenerated": false,
"ratio": 2.880608835540156,
"config_test": false,
"... |
"A collection of individuals with fixed relationships"
import numpy as np
from pydigree.paths import fraternity
from pydigree.common import table
from pydigree.population import Population
class Pedigree(Population):
"A collection of individuals with fixed relationships"
def __init__(self, label=None):... | {
"repo_name": "jameshicks/pydigree",
"path": "pydigree/pedigree.py",
"copies": "1",
"size": "8471",
"license": "apache-2.0",
"hash": -3853741909646653000,
"line_mean": 32.6150793651,
"line_max": 79,
"alpha_frac": 0.5774997049,
"autogenerated": false,
"ratio": 3.875114364135407,
"config_test": f... |
""" A collection of input methods that aren't necessarily buttons """
from rcfc.server import register_post_with_state, register_post_with_input
from rcfc.groups import convertGroup
class DIRECTIONAL:
LEFT = "left"
RIGHT = "right"
def slider(text, getter, input_range=(0, 100), group=None):
min_value, m... | {
"repo_name": "pviafore/rcfc",
"path": "rcfc/input_methods.py",
"copies": "1",
"size": "1204",
"license": "mit",
"hash": 5777970101391696000,
"line_mean": 25.1739130435,
"line_max": 74,
"alpha_frac": 0.5863787375,
"autogenerated": false,
"ratio": 3.8222222222222224,
"config_test": false,
"has... |
"""A collection of internal helper routines.
.. note::
This module is intended for the internal use in python-icat and is
not considered to be part of the API. No effort will be made to
keep anything in here compatible between different versions.
>>> name = 'rbeck'
>>> qps = simpleqp_quote(name)
>>> qps
'rb... | {
"repo_name": "icatproject/python-icat",
"path": "icat/helper.py",
"copies": "1",
"size": "6371",
"license": "apache-2.0",
"hash": 776423161089985900,
"line_mean": 29.4832535885,
"line_max": 80,
"alpha_frac": 0.5499921519,
"autogenerated": false,
"ratio": 3.7432432432432434,
"config_test": fals... |
"""A collection of (internal usage) utils for rewriting and propagation in the hierarchy."""
import copy
import networkx as nx
import warnings
from regraph.category_op import (compose,
compose_chain,
compose_relation_dicts,
... | {
"repo_name": "eugeniashurko/ReGraph",
"path": "regraph/rewriting_utils.py",
"copies": "1",
"size": "23150",
"license": "mit",
"hash": -8266582680949082000,
"line_mean": 40.9384057971,
"line_max": 92,
"alpha_frac": 0.4722678186,
"autogenerated": false,
"ratio": 4.323870003735525,
"config_test":... |
"""A collection of (internal usage) utils for rewriting in the hierarchy."""
import time
import copy
import networkx as nx
import warnings
from regraph.networkx.category_utils import (compose,
compose_chain,
compose_relation_dict... | {
"repo_name": "Kappa-Dev/ReGraph",
"path": "regraph/backends/networkx/utils/rewriting_utils.py",
"copies": "1",
"size": "45802",
"license": "mit",
"hash": -8376607582227996000,
"line_mean": 45.3114256825,
"line_max": 89,
"alpha_frac": 0.429260731,
"autogenerated": false,
"ratio": 4.50452399685287... |
"""A collection of (internal usage) utils for rule type checking."""
import networkx as nx
from networkx.exception import NetworkXNoPath
from regraph.category_op import check_homomorphism
from regraph.exceptions import RewritingError
from regraph.utils import keys_by_value, format_typing
def _autocomplete_typing(hie... | {
"repo_name": "eugeniashurko/ReGraph",
"path": "regraph/rule_type_checking.py",
"copies": "1",
"size": "10746",
"license": "mit",
"hash": -6691866400532814000,
"line_mean": 47.8454545455,
"line_max": 84,
"alpha_frac": 0.4536571748,
"autogenerated": false,
"ratio": 4.561120543293718,
"config_tes... |
"""A collection of marathon-related utils
"""
# future imports
from __future__ import absolute_import
# third-party imports
import requests
# local imports
from .deployment import DeploymentNotFound
from .deployment import MarathonDeployment
from shpkpr import exceptions
class ClientError(exceptions.ShpkprException... | {
"repo_name": "shopkeep/shpkpr",
"path": "shpkpr/marathon/client.py",
"copies": "1",
"size": "5601",
"license": "mit",
"hash": -5074475384342780000,
"line_mean": 36.5906040268,
"line_max": 102,
"alpha_frac": 0.6207820032,
"autogenerated": false,
"ratio": 4.262557077625571,
"config_test": false,... |
""" A collection of methods for handling data gathered through the
StackExchange API. Includes methods for extracting metric data from
StackExchange JSON archives, and methods for putting that data in to a
MySQL database.
"""
import json
import pymysql
import model
import numpy as np
# List of fields... | {
"repo_name": "nrpeterson/mse-closure-predictor",
"path": "cleandata.py",
"copies": "1",
"size": "6918",
"license": "mit",
"hash": -3693528262514935300,
"line_mean": 38.3068181818,
"line_max": 205,
"alpha_frac": 0.611303845,
"autogenerated": false,
"ratio": 3.599375650364204,
"config_test": fal... |
"""A collection of methods for training a classifier to predict whether posts
from Mathematics.StackExchange will be closed due to 'lack of context', and
for using that model to make predictions.
"""
import numpy as np
from scipy.special import expit as sigmoid
from sklearn.preprocessing import StandardScaler
... | {
"repo_name": "nrpeterson/mse-closure-predictor",
"path": "model.py",
"copies": "1",
"size": "2936",
"license": "mit",
"hash": 5167383461531173000,
"line_mean": 30.5698924731,
"line_max": 81,
"alpha_frac": 0.670640327,
"autogenerated": false,
"ratio": 3.842931937172775,
"config_test": false,
... |
"""A collection of miscellaneous functions to operate on iterables
The pairwise function is different from the recipe version in that it is an
explicit generator that walks the iterable in order to avoid tee.
The partition function is different from the recipe version in that it returns
lists instead of generators as... | {
"repo_name": "nxdevel/nx_itertools",
"path": "nx_itertools/extra.py",
"copies": "1",
"size": "7606",
"license": "mit",
"hash": -1651712514886710500,
"line_mean": 29.424,
"line_max": 79,
"alpha_frac": 0.6301603997,
"autogenerated": false,
"ratio": 4.747815230961298,
"config_test": false,
"has... |
"""a collection of model-related helper classes and functions"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from datetime import datetime
import json
import re
from flask import escape, Markup
from flask_appbuild... | {
"repo_name": "alanmcruickshank/superset-dev",
"path": "superset/models/helpers.py",
"copies": "1",
"size": "5135",
"license": "apache-2.0",
"hash": -8360271160628011000,
"line_mean": 28.5114942529,
"line_max": 79,
"alpha_frac": 0.600194742,
"autogenerated": false,
"ratio": 3.925840978593272,
"... |
"""A collection of modules for building different kinds of tree from
HTML documents.
To create a treebuilder for a new type of tree, you need to do
implement several things:
1) A set of classes for various types of elements: Document, Doctype,
Comment, Element. These must implement the interface of
_base.treebuilders... | {
"repo_name": "ppyordanov/HCI_4_Future_Cities",
"path": "Server/src/virtualenv/Lib/site-packages/pip/_vendor/html5lib/treebuilders/__init__.py",
"copies": "1",
"size": "3408",
"license": "mit",
"hash": 8366273855690885000,
"line_mean": 42.1392405063,
"line_max": 79,
"alpha_frac": 0.6813380282,
"aut... |
"""A collection of modules for building different kinds of tree from
HTML documents.
To create a treebuilder for a new type of tree, you need to do
implement several things:
1) A set of classes for various types of elements: Document, Doctype,
Comment, Element. These must implement the interface of
_base.tree... | {
"repo_name": "bbondy/brianbondy.gae",
"path": "libs/html5lib/treebuilders/__init__.py",
"copies": "1",
"size": "4473",
"license": "mit",
"hash": 1301685314238968000,
"line_mean": 46.6195652174,
"line_max": 94,
"alpha_frac": 0.6317907445,
"autogenerated": false,
"ratio": 5.06568516421291,
"conf... |
"""A collection of modules for building different kinds of trees from HTML
documents.
To create a treebuilder for a new type of tree, you need to do
implement several things:
1. A set of classes for various types of elements: Document, Doctype, Comment,
Element. These must implement the interface of ``base.... | {
"repo_name": "ncos/lisa",
"path": "src/lisa_drive/scripts/venv/lib/python3.5/site-packages/pip-10.0.1-py3.5.egg/pip/_vendor/html5lib/treebuilders/__init__.py",
"copies": "6",
"size": "3680",
"license": "mit",
"hash": -1848524000907628300,
"line_mean": 39.8181818182,
"line_max": 83,
"alpha_frac": 0.6... |
"""A collection of modules for iterating through different kinds of
tree, generating tokens identical to those produced by the tokenizer
module.
To create a tree walker for a new type of tree, you need to do
implement a tree walker object (called TreeWalker by convention) that
implements a 'serialize' method taking a ... | {
"repo_name": "mindw/html5lib-python",
"path": "html5lib/treewalkers/__init__.py",
"copies": "1",
"size": "5558",
"license": "mit",
"hash": -6386479822638438000,
"line_mean": 37.8671328671,
"line_max": 94,
"alpha_frac": 0.5269881252,
"autogenerated": false,
"ratio": 4.858391608391608,
"config_t... |
"""A collection of modules for iterating through different kinds of
tree, generating tokens identical to those produced by the tokenizer
module.
To create a tree walker for a new type of tree, you need to do
implement a tree walker object (called TreeWalker by convention) that
implements a 'serialize' method tak... | {
"repo_name": "neoscoin/neos-core",
"path": "src/ledger/lib/python2.7/site-packages/pip/_vendor/html5lib/treewalkers/__init__.py",
"copies": "5",
"size": "5868",
"license": "mit",
"hash": -8752658690270540000,
"line_mean": 36.1038961039,
"line_max": 94,
"alpha_frac": 0.5252215406,
"autogenerated": ... |
"""A collection of native images.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import errno
import glob
import io
import logging
import os
import pwd
import shutil
import stat
from treadmill import appcfg
from... | {
"repo_name": "captiosus/treadmill",
"path": "treadmill/runtime/linux/image/native.py",
"copies": "1",
"size": "13416",
"license": "apache-2.0",
"hash": 818338753708417000,
"line_mean": 30.5670588235,
"line_max": 78,
"alpha_frac": 0.5977191413,
"autogenerated": false,
"ratio": 3.400760456273764,
... |
"""A collection of native images.
"""
import errno
import glob
import logging
import os
import pwd
import shutil
import stat
import treadmill
from treadmill import appcfg
from treadmill import cgroups
from treadmill import fs
from treadmill import runtime
from treadmill import subproc
from treadmill import superviso... | {
"repo_name": "keithhendry/treadmill",
"path": "treadmill/runtime/linux/image/native.py",
"copies": "2",
"size": "15443",
"license": "apache-2.0",
"hash": -8597321526959865000,
"line_mean": 30.1350806452,
"line_max": 78,
"alpha_frac": 0.5984588487,
"autogenerated": false,
"ratio": 3.3491650401214... |
# a collection of non-class routines that perform operations on a list
# of images
import math
# return the bounds of the rectangle spanned by the provided list of
# images
def coverage(image_list):
xmin = None; xmax = None; ymin = None; ymax = None
for image in image_list:
(x0, y0, x1, y1) = image.co... | {
"repo_name": "UASLab/ImageAnalysis",
"path": "scripts/lib/image_list.py",
"copies": "1",
"size": "2956",
"license": "mit",
"hash": 1103809903412203100,
"line_mean": 29.1632653061,
"line_max": 82,
"alpha_frac": 0.5953991881,
"autogenerated": false,
"ratio": 2.845043310875842,
"config_test": fal... |
"""A collection of non-environment specific tools"""
import sys
import os
from robofab.objects.objectsRF import RInfo
if sys.platform == "darwin" and sys.version_info[:3] == (2, 2, 0):
# the Mac support of Jaguar's Python 2.2 is broken
have_broken_macsupport = 1
else:
have_broken_macsupport = 0
def readGlyphCon... | {
"repo_name": "adrientetar/robofab",
"path": "Lib/robofab/tools/toolsAll.py",
"copies": "1",
"size": "3934",
"license": "bsd-3-clause",
"hash": -5750262888277025000,
"line_mean": 26.7112676056,
"line_max": 92,
"alpha_frac": 0.6820030503,
"autogenerated": false,
"ratio": 2.8883994126284875,
"con... |
## A Collection of NURBS curve utility functions
## J Eisenmann
## ACCAD, The Ohio State University
## 2012-13
from math import *
from Vector import *
import maya.cmds as mc
import maya.mel as mm
mc.loadPlugin("closestPointOnCurve", quiet=True)
def drawLine(pt1, pt2):
try: # if pt1 and pt2 are Vectors
... | {
"repo_name": "jeisenma/traceSelectionInMaya",
"path": "scripts/curveUtil.py",
"copies": "1",
"size": "11555",
"license": "mit",
"hash": -4355680436437923300,
"line_mean": 38.5719178082,
"line_max": 134,
"alpha_frac": 0.5864993509,
"autogenerated": false,
"ratio": 3.2330721880246225,
"config_te... |
"""A collection of ORM sqlalchemy models for Caravel"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import re
import functools
import json
import logging
import re
import textwrap
from collections import namedtuple... | {
"repo_name": "wbsljh/caravel",
"path": "caravel/models.py",
"copies": "1",
"size": "73950",
"license": "apache-2.0",
"hash": -1222798785848183600,
"line_mean": 34.0312648034,
"line_max": 113,
"alpha_frac": 0.5446382691,
"autogenerated": false,
"ratio": 3.975165295920013,
"config_test": false,
... |
"""A collection of ORM sqlalchemy models for Caravel"""
from copy import deepcopy, copy
from collections import namedtuple
from datetime import timedelta, datetime, date
import functools
import json
import logging
from six import string_types
import sqlparse
import requests
from dateutil.parser import parse
from flas... | {
"repo_name": "thebucknerlife/caravel",
"path": "caravel/models.py",
"copies": "1",
"size": "42278",
"license": "apache-2.0",
"hash": -5922760950915400000,
"line_mean": 32.795363709,
"line_max": 86,
"alpha_frac": 0.5552769762,
"autogenerated": false,
"ratio": 4.04032874617737,
"config_test": fa... |
"""A collection of ORM sqlalchemy models for SQL Lab"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from datetime import datetime
import re
from flask import Markup
from flask_appbuilder import Model
from future.s... | {
"repo_name": "alanmcruickshank/superset-dev",
"path": "superset/models/sql_lab.py",
"copies": "1",
"size": "5286",
"license": "apache-2.0",
"hash": -5829946089397358000,
"line_mean": 33.3246753247,
"line_max": 74,
"alpha_frac": 0.6208853575,
"autogenerated": false,
"ratio": 3.7838224767358626,
... |
"""A collection of ORM sqlalchemy models for Superset"""
#-*- coding: UTF-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import functools
import json
import logging
import numpy
import pickle
import textwrap
fro... | {
"repo_name": "BRD-CD/superset",
"path": "superset/models/core.py",
"copies": "1",
"size": "29305",
"license": "apache-2.0",
"hash": 2701986638010991600,
"line_mean": 33.4359576968,
"line_max": 79,
"alpha_frac": 0.5978501962,
"autogenerated": false,
"ratio": 3.926705078386708,
"config_test": fa... |
"""A collection of ORM sqlalchemy models for Superset"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from copy import copy, deepcopy
from datetime import date, datetime
import functools
import json
import logging
i... | {
"repo_name": "alanmcruickshank/superset-dev",
"path": "superset/models/core.py",
"copies": "1",
"size": "33495",
"license": "apache-2.0",
"hash": -8313337820049135000,
"line_mean": 34.1469045121,
"line_max": 86,
"alpha_frac": 0.5986863711,
"autogenerated": false,
"ratio": 3.944765045342127,
"c... |
"""A collection of pandas data interfaces to a project instance."""
from __future__ import absolute_import
import os.path as osp
from glob import glob
import warnings
try:
import pandas as pd
except ImportError:
raise ImportError('The pandas package is required for this plugin. '
'Try pip... | {
"repo_name": "mwort/modelmanager",
"path": "modelmanager/plugins/pandas.py",
"copies": "1",
"size": "7825",
"license": "bsd-3-clause",
"hash": 2659019043254886000,
"line_mean": 32.7284482759,
"line_max": 79,
"alpha_frac": 0.5640894569,
"autogenerated": false,
"ratio": 4.193461950696677,
"confi... |
"""A collection of python stylers"""
import re
month_fullnames = {
1: "January",
2: "February",
3: "March",
4: "April",
5: "May",
6: "June",
7: "July",
8: "August",
9: "September",
10: "October",
11: "November",
12: "December",
}
month_threelets = {
1: "Jan",
2:... | {
"repo_name": "scopatz/regolith",
"path": "regolith/stylers.py",
"copies": "1",
"size": "1321",
"license": "cc0-1.0",
"hash": 4253193127407000600,
"line_mean": 19.3230769231,
"line_max": 78,
"alpha_frac": 0.5162755488,
"autogenerated": false,
"ratio": 3.31077694235589,
"config_test": false,
"... |
"""A collection of random tools for dealing with dates in Python.
.. deprecated:: 0.19.0
Use pandas.tseries module instead.
"""
# flake8: noqa
import warnings
from pandas.core.tools.datetimes import *
from pandas.tseries.offsets import *
from pandas.tseries.frequencies import *
warnings.warn("The pandas.core.d... | {
"repo_name": "louispotok/pandas",
"path": "pandas/core/datetools.py",
"copies": "4",
"size": "1494",
"license": "bsd-3-clause",
"hash": 5319722831966819000,
"line_mean": 26.1636363636,
"line_max": 75,
"alpha_frac": 0.7510040161,
"autogenerated": false,
"ratio": 3.4187643020594964,
"config_test... |
"""A collection of random tools for dealing with dates in Python"""
# flake8: noqa
from pandas.tseries.tools import *
from pandas.tseries.offsets import *
from pandas.tseries.frequencies import *
day = DateOffset()
bday = BDay()
businessDay = bday
try:
cday = CDay()
customBusinessDay = CustomBusinessDay()
... | {
"repo_name": "BigDataforYou/movie_recommendation_workshop_1",
"path": "big_data_4_you_demo_1/venv/lib/python2.7/site-packages/pandas/core/datetools.py",
"copies": "2",
"size": "1190",
"license": "mit",
"hash": 4299396511536654000,
"line_mean": 25.4444444444,
"line_max": 67,
"alpha_frac": 0.767226890... |
"""A collection of random tools for dealing with dates in Python"""
# flake8: noqa
import warnings
from pandas.core.tools.datetimes import *
from pandas.tseries.offsets import *
from pandas.tseries.frequencies import *
warnings.warn("The pandas.core.datetools module is deprecated and will be "
"remove... | {
"repo_name": "jmmease/pandas",
"path": "pandas/core/datetools.py",
"copies": "16",
"size": "1429",
"license": "bsd-3-clause",
"hash": -4846069132785568000,
"line_mean": 27.0196078431,
"line_max": 75,
"alpha_frac": 0.755073478,
"autogenerated": false,
"ratio": 3.4350961538461537,
"config_test":... |
"""A collection of random tools for dealing with dates in Python"""
# flake8: noqa
import warnings
from pandas.tseries.tools import *
from pandas.tseries.offsets import *
from pandas.tseries.frequencies import *
warnings.warn("The pandas.core.datetools module is deprecated and will be "
"removed in a ... | {
"repo_name": "andyraib/data-storage",
"path": "python_scripts/env/lib/python3.6/site-packages/pandas/core/datetools.py",
"copies": "7",
"size": "1422",
"license": "apache-2.0",
"hash": -3057795233297330700,
"line_mean": 26.8823529412,
"line_max": 75,
"alpha_frac": 0.7545710267,
"autogenerated": fa... |
"""A collection of random tools for dealing with dates in Python"""
from pandas.tseries.tools import *
from pandas.tseries.offsets import *
from pandas.tseries.frequencies import *
day = DateOffset()
bday = BDay()
businessDay = bday
try:
cday = CDay()
customBusinessDay = CustomBusinessDay()
customBusiness... | {
"repo_name": "sauloal/cnidaria",
"path": "scripts/venv/lib/python2.7/site-packages/pandas/core/datetools.py",
"copies": "6",
"size": "1729",
"license": "mit",
"hash": -7689920604292522000,
"line_mean": 26.4444444444,
"line_max": 74,
"alpha_frac": 0.7004048583,
"autogenerated": false,
"ratio": 3.... |
"""A collection of random tools for dealing with dates in Python"""
from datetime import datetime, timedelta
from dateutil import parser
from dateutil.relativedelta import relativedelta
import calendar
#-------------------------------------------------------------------------------
# Miscellaneous date func... | {
"repo_name": "willgrass/pandas",
"path": "pandas/core/datetools.py",
"copies": "1",
"size": "19053",
"license": "bsd-3-clause",
"hash": -2739760356557671400,
"line_mean": 28.9804878049,
"line_max": 80,
"alpha_frac": 0.5440088175,
"autogenerated": false,
"ratio": 3.9083076923076923,
"config_tes... |
# a collection of sample visualization functions
# for binding to plotnode
import matplotlib.pyplot as plt
import numpy as np
def viz_square(data, normalize=True, cmap=plt.cm.gray, padsize=1, padval=0):
"""
takes a np.ndarray of shape (n, height, width) or (n, height, width, channels)
visualize each (heig... | {
"repo_name": "ericjang/tdb",
"path": "tdb/examples/viz.py",
"copies": "1",
"size": "2019",
"license": "apache-2.0",
"hash": 3068488024545575400,
"line_mean": 34.4210526316,
"line_max": 105,
"alpha_frac": 0.6478454681,
"autogenerated": false,
"ratio": 2.888412017167382,
"config_test": false,
... |
"""A collection of sensors helpers."""
import math
import numpy as np
import carla
class Sensor(object):
"""Base class for wrapping sensors."""
def __init__(self, parent_actor: carla.Actor, transform=carla.Transform(), attachment_type=None,
attributes: dict = None):
self.parent = par... | {
"repo_name": "reinforceio/tensorforce",
"path": "tensorforce/environments/carla/sensors.py",
"copies": "1",
"size": "15700",
"license": "apache-2.0",
"hash": -559809156252893300,
"line_mean": 36.6498800959,
"line_max": 123,
"alpha_frac": 0.5924840764,
"autogenerated": false,
"ratio": 4.068411505... |
"""A collection of shared utilities for all encoders, not intended for external use."""
import pandas as pd
import numpy as np
from scipy.sparse.csr import csr_matrix
__author__ = 'willmcginnis'
def convert_cols_to_list(cols):
if isinstance(cols, pd.Series):
return cols.tolist()
elif isinstance(cols... | {
"repo_name": "wdm0006/categorical_encoding",
"path": "category_encoders/utils.py",
"copies": "1",
"size": "5083",
"license": "bsd-3-clause",
"hash": -929589737662242600,
"line_mean": 36.375,
"line_max": 139,
"alpha_frac": 0.615974818,
"autogenerated": false,
"ratio": 3.8017950635751685,
"confi... |
"""A collection of string constants.
Public module variables:
whitespace -- a string containing all ASCII whitespace
ascii_lowercase -- a string containing all ASCII lowercase letters
ascii_uppercase -- a string containing all ASCII uppercase letters
ascii_letters -- a string containing all ASCII letters
digits -- a ... | {
"repo_name": "Reflexe/doc_to_pdf",
"path": "Windows/program/python-core-3.5.0/lib/string.py",
"copies": "5",
"size": "11854",
"license": "mpl-2.0",
"hash": -5982963243501532000,
"line_mean": 37.2387096774,
"line_max": 85,
"alpha_frac": 0.5656318542,
"autogenerated": false,
"ratio": 4.50379939209... |
"""A collection of string operations (most are no longer used in Python 1.6).
Warning: most of the code you see here isn't normally used nowadays. With
Python 1.6, many of these functions are implemented as methods on the
standard string object. They used to be implemented by a built-in module
called strop, but strop... | {
"repo_name": "MalloyPower/parsing-python",
"path": "front-end/testsuite-python-lib/Python-2.3/Lib/string.py",
"copies": "3",
"size": "11367",
"license": "mit",
"hash": -901562446709140200,
"line_mean": 28.7565445026,
"line_max": 77,
"alpha_frac": 0.6832057711,
"autogenerated": false,
"ratio": 3.... |
"""A collection of string operations (most are no longer used).
Warning: most of the code you see here isn't normally used nowadays.
Beginning with Python 1.6, many of these functions are implemented as
methods on the standard string object. They used to be implemented by
a built-in module called strop, but strop is n... | {
"repo_name": "albertjan/pypyjs-presentation",
"path": "assets/js/pypy.js-0.3.1/lib/modules/string.py",
"copies": "6",
"size": "20817",
"license": "unlicense",
"hash": 8104984555131726000,
"line_mean": 31.3748055988,
"line_max": 81,
"alpha_frac": 0.6284767258,
"autogenerated": false,
"ratio": 4.1... |
"""A collection of TAR images."""
import hashlib
import logging
import os
import shutil
import tarfile
import tempfile
import urllib.parse
import requests
import requests_kerberos
from . import _image_base
from . import _repository_base
from . import native
from treadmill import fs
_LOGGER = logging.getLogger(__... | {
"repo_name": "gaocegege/treadmill",
"path": "treadmill/runtime/linux/image/tar.py",
"copies": "3",
"size": "3085",
"license": "apache-2.0",
"hash": 4117737456166516700,
"line_mean": 26.5446428571,
"line_max": 79,
"alpha_frac": 0.6087520259,
"autogenerated": false,
"ratio": 3.533791523482245,
"... |
"""A collection of TAR images.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import hashlib
import io
import logging
import os
import shutil
import tarfile
import tempfile
import requests
import requests_kerber... | {
"repo_name": "captiosus/treadmill",
"path": "treadmill/runtime/linux/image/tar.py",
"copies": "1",
"size": "3266",
"license": "apache-2.0",
"hash": -3270221878946797600,
"line_mean": 26.4453781513,
"line_max": 79,
"alpha_frac": 0.6172688304,
"autogenerated": false,
"ratio": 3.5538628944504898,
... |
"""A collection of text rendering functions"""
def write(s,font,pos,color,text,border=1):
"""Write text to a surface with a black border"""
# Render the text in black, at various offsets to fake a border
tmp = font.render(text,1,(0,0,0))
dirs = [(-1,-1),(-1,0),(-1,1),(0,-1),(0,1),(1,-1),(1,0),(1,1)]
f... | {
"repo_name": "Southpaw-TACTIC/Team",
"path": "src/python/Lib/site-packages/pgu/text.py",
"copies": "1",
"size": "2390",
"license": "epl-1.0",
"hash": 6731692508059365000,
"line_mean": 29.641025641,
"line_max": 73,
"alpha_frac": 0.5171548117,
"autogenerated": false,
"ratio": 3.3661971830985915,
... |
"""A collection of tools for analysing a pdb file.
Helper module for the biostructmap package.
"""
from __future__ import absolute_import, division, print_function
from collections import defaultdict
from Bio.SeqIO import PdbIO
from Bio.SeqUtils import seq1
from Bio.Data.SCOPData import protein_letters_3to1
from Bio.... | {
"repo_name": "andrewguy/biostructmap",
"path": "biostructmap/pdbtools.py",
"copies": "1",
"size": "14755",
"license": "mit",
"hash": 6308888892342810000,
"line_mean": 38.8783783784,
"line_max": 96,
"alpha_frac": 0.6147746527,
"autogenerated": false,
"ratio": 3.6128795298726737,
"config_test": ... |
""" A collection of tools for manipulating Numpy arrays
This module contains a number of convenience routines for
common manipulations of data stored in 1-D and 2-D arrays.
"""
from math import floor
import numpy as np
def find_indices(lats, lons, lat0, lon0, dlat, dlon, nrows, ncols):
"""Find row an... | {
"repo_name": "sahg/SAHGutils",
"path": "sahgutils/io/arraytools.py",
"copies": "1",
"size": "11695",
"license": "bsd-3-clause",
"hash": 6955921947869257000,
"line_mean": 34.6614420063,
"line_max": 79,
"alpha_frac": 0.5415989739,
"autogenerated": false,
"ratio": 4.1325088339222615,
"config_test... |
"""A collection of tools for rendering information about xml (typically errors)"""
from __future__ import unicode_literals
from __future__ import print_function
def extract_lines(code, line, padding=2):
"""Extracts a number of lines from code surrounding a given line number,
returns a list of tuples that cont... | {
"repo_name": "moyaproject/moya",
"path": "moya/xmlreport.py",
"copies": "1",
"size": "3639",
"license": "mit",
"hash": -238926830751329000,
"line_mean": 30.6434782609,
"line_max": 92,
"alpha_frac": 0.5902720528,
"autogenerated": false,
"ratio": 3.3725671918443,
"config_test": false,
"has_no_... |
"""A collection of tools for various purely Python operations"""
from random import Random
import itertools
import string
# In theory should be few to no imports outside perhaps stdlib here
def rands(n):
"""Generates a random alphanumeric string of length *n*"""
return ''.join(Random().sample(string.... | {
"repo_name": "willgrass/pandas",
"path": "pandas/core/pytools.py",
"copies": "1",
"size": "2985",
"license": "bsd-3-clause",
"hash": 1512231176301478000,
"line_mean": 25.1363636364,
"line_max": 80,
"alpha_frac": 0.5353433836,
"autogenerated": false,
"ratio": 3.83183568677792,
"config_test": fa... |
"""A collection of tools, tips, and tricks.
2009-07-20 22:36 IJC: Created
2010-10-28 11:53 IJMC: Updated documentation for Sphinx.
2011-06-15 09:34 IJMC: More functions have been added; cleaned documentation.
"""
import pdb
import numpy as np
def getfigs():
"""Return a list of all open matplotlib figures.
... | {
"repo_name": "iancrossfield/aries_reduce",
"path": "tools.py",
"copies": "1",
"size": "148551",
"license": "mit",
"hash": -2529292207197001000,
"line_mean": 30.0971320913,
"line_max": 241,
"alpha_frac": 0.5617397392,
"autogenerated": false,
"ratio": 3.3973150985683573,
"config_test": false,
... |
"""A collection of tools to handle genomic tests, in particular Tajima's D.
Part of the biostructmap package.
"""
from __future__ import absolute_import, division, print_function
from io import StringIO
import warnings
from math import log
from Bio import AlignIO
from Bio.Data import IUPACData
from numpy import mean
... | {
"repo_name": "andrewguy/biostructmap",
"path": "biostructmap/gentests.py",
"copies": "1",
"size": "12715",
"license": "mit",
"hash": -7670846991746990000,
"line_mean": 37.0688622754,
"line_max": 89,
"alpha_frac": 0.6528509634,
"autogenerated": false,
"ratio": 4.134959349593496,
"config_test": ... |
'''A collection of tools to handle sequence manipulation.
Part of the biostructmap package.
'''
from __future__ import absolute_import, division, print_function
from io import StringIO
import operator
import re
import subprocess
import tempfile
import warnings
from Bio import AlignIO
from Bio.Blast.Applications import... | {
"repo_name": "andrewguy/biostructmap",
"path": "biostructmap/seqtools.py",
"copies": "1",
"size": "23316",
"license": "mit",
"hash": -6866793555426456000,
"line_mean": 38.5186440678,
"line_max": 97,
"alpha_frac": 0.6145565277,
"autogenerated": false,
"ratio": 3.939844542075025,
"config_test": ... |
"""A collection of tools to handle tests over protein multiple sequence alignments.
Part of the biostructmap package.
"""
from __future__ import absolute_import, division, print_function
from io import StringIO
import warnings
from math import log
from Bio import AlignIO
from Bio.Data import IUPACData
from numpy impo... | {
"repo_name": "andrewguy/biostructmap",
"path": "biostructmap/protein_tests.py",
"copies": "1",
"size": "2417",
"license": "mit",
"hash": -5550801350473491000,
"line_mean": 42.9454545455,
"line_max": 89,
"alpha_frac": 0.6628051303,
"autogenerated": false,
"ratio": 4.3707052441229655,
"config_te... |
# a collection of turtle generation functions
# not meant to be run directly
# only contains functions related to rdflib.Graph manipulation
# only nonspecific stuff: shouldn't contain any functions directly related
# to data structure(rdf triple organization) of the modules you're dev'ing
import config
from middleware... | {
"repo_name": "superphy/backend",
"path": "app/middleware/graphers/turtle_grapher.py",
"copies": "1",
"size": "5520",
"license": "apache-2.0",
"hash": -4459132450892370000,
"line_mean": 45.3865546218,
"line_max": 142,
"alpha_frac": 0.6802536232,
"autogenerated": false,
"ratio": 3.495883470550982,... |
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