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"""Algorithms for computing symbolic roots of polynomials."""
import functools
import math
from ..core import (Dummy, Eq, Float, I, Integer, Rational, Symbol, comp,
factor_terms, pi, symbols)
from ..core.mul import expand_2arg
from ..core.sympify import sympify
from ..domains.compositedomain impor... | {
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'''Algorithms for converting grammars to Chomsky Normal Form.'''
from cfg.core import ContextFreeGrammar, Terminal, Nonterminal, \
ProductionRule, SubscriptedNonterminal
from util.moreitertools import powerset
def is_cnf_rule(r, start):
'''Return whether a production rule is in CNF. Must indi... | {
"repo_name": "bdusell/pycfg",
"path": "src/cfg/cnf.py",
"copies": "1",
"size": "5697",
"license": "mit",
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"has_no_key... |
"""Algorithms for determination of Laue group symmetry."""
import json
import logging
import math
import scipy.stats
import libtbx
from cctbx import crystal, sgtbx
from scitbx.array_family import flex
from scitbx.math import five_number_summary
import dials.util
from dials.algorithms.symmetry import symmetry_base
... | {
"repo_name": "dials/dials",
"path": "algorithms/symmetry/laue_group.py",
"copies": "1",
"size": "30298",
"license": "bsd-3-clause",
"hash": 2961777214921668600,
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"""Algorithms for finding cut vertices and cut edges from undirected graph.
Cut vertex or cut edge is a vertex or edge of which removal will disconnect
the graph. Time complexity: O(V + E)
"""
from algolib.graph.dfs import DFS
def __process_early(_graph, dfs, vertex):
dfs[vertex].reachable_ancestor = vertex
d... | {
"repo_name": "niemmi/algolib",
"path": "algolib/graph/cut.py",
"copies": "1",
"size": "2846",
"license": "bsd-3-clause",
"hash": 4563371950588936000,
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"line_max": 80,
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"autogenerated": false,
"ratio": 3.6913099870298316,
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"""Algorithms for generating prototypes.
A prototype algorithm is a callable with the signature:
prototypes = algorithm(num_prototypes, model, make_training_exp, pool, progress=None)
where `images` is a generator of image paths.
See also :func:`glimpse.experiment.MakePrototypes`.
"""
# Copyright (c) 2011-2013 Mi... | {
"repo_name": "mthomure/glimpse-project",
"path": "glimpse/experiment/prototype_algorithms.py",
"copies": "1",
"size": "9119",
"license": "mit",
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"""Algorithms for indexing."""
import numpy as np
from recordlinkage.measures import full_index_size
def _map_tril_1d_on_2d(indices, dims):
"""Map 1d indices on lower triangular matrix in 2d. """
N = (dims * dims - dims) / 2
m = np.ceil(np.sqrt(2 * N))
c = m - np.round(np.sqrt(2 * (N - indices))) ... | {
"repo_name": "J535D165/recordlinkage",
"path": "recordlinkage/algorithms/indexing.py",
"copies": "1",
"size": "3274",
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"""Algorithms for manipulating BibTeX data.
This module implements various algorithms supplied by BibTeX to style
files, as well as some algorithms to make BibTeX data more accessible
to Python.
"""
__all__ = ('Name parse_names ' +
'parse_month ' +
'title_case ' +
'TeXProcessor TeXToU... | {
"repo_name": "ajbouh/tfi",
"path": "src/tfi/parse/biblib/algo.py",
"copies": "2",
"size": "17807",
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"autogenerated": false,
"ratio": 4.022403258655804,
"config_test": false,
... |
"""Algorithms for partial fraction decomposition of rational functions. """
from __future__ import print_function, division
from sympy.core import S, Add, sympify, Function, Lambda, Dummy
from sympy.core.basic import preorder_traversal
from sympy.core.compatibility import range
from sympy.polys import Poly, RootSum, ... | {
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"""Algorithms for partial fraction decomposition of rational functions. """
from __future__ import print_function, division
from sympy.polys import Poly, RootSum, cancel, factor
from sympy.polys.polytools import parallel_poly_from_expr
from sympy.polys.polyoptions import allowed_flags, set_defaults
from sympy.polys.p... | {
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"config_test":... |
"""Algorithms for partial fraction decomposition of rational functions. """
from sympy.polys import Poly, RootSum, cancel, factor
from sympy.polys.polytools import parallel_poly_from_expr
from sympy.polys.polyoptions import allowed_flags, set_defaults
from sympy.core import S, Add, sympify, Function, Lambda, Dummy
fr... | {
"repo_name": "amitjamadagni/sympy",
"path": "sympy/polys/partfrac.py",
"copies": "2",
"size": "12158",
"license": "bsd-3-clause",
"hash": 8859705591683495000,
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"autogenerated": false,
"ratio": 3.300217155266015,
"config_te... |
"""Algorithms for partial fraction decomposition of rational functions. """
from sympy.polys import Poly, RootSum, cancel, factor
from sympy.polys.polytools import parallel_poly_from_expr
from sympy.core import S, Add, sympify, Symbol, Function, Lambda, Dummy
from sympy.utilities import numbered_symbols, take, thread... | {
"repo_name": "Cuuuurzel/KiPyCalc",
"path": "sympy_old/polys/partfrac.py",
"copies": "2",
"size": "4192",
"license": "mit",
"hash": 8503107723532895000,
"line_mean": 24.717791411,
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"""Algorithms for partial fraction decomposition of rational functions."""
import itertools
from ..core import Add, Dummy, Function, Integer, Lambda, preorder_traversal
from ..core.sympify import sympify
from ..utilities import numbered_symbols
from . import Poly, RootSum, cancel, factor
from .polyerrors import Polyn... | {
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"path": "diofant/polys/partfrac.py",
"copies": "1",
"size": "14342",
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"hash": -6138820087521659000,
"line_mean": 28.4496919918,
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"autogenerated": false,
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"config_tes... |
"""Algorithms for partial fraction decomposition of rational functions."""
import itertools
from ..core import (Add, Dummy, Function, Integer, Lambda, preorder_traversal,
sympify)
from ..utilities import numbered_symbols
from . import Poly, RootSum, cancel, factor
from .polyerrors import Polynomia... | {
"repo_name": "skirpichev/omg",
"path": "diofant/polys/partfrac.py",
"copies": "1",
"size": "14294",
"license": "bsd-3-clause",
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"config_test": ... |
"""Algorithms for read generation"""
import numpy as np
class Node(object):
__slots__ = ('ps', 'pr', 'cigarop', 'oplen', 'seq', 'v')
def __init__(self, ps, pr, cigarop, oplen, seq):
self.ps = ps
self.pr = pr
self.cigarop = cigarop
self.oplen = oplen
self.seq = seq
# The variant size code.... | {
"repo_name": "sbg/Mitty",
"path": "mitty/simulation/rpc.py",
"copies": "1",
"size": "5839",
"license": "apache-2.0",
"hash": -7730485680460287000,
"line_mean": 35.9620253165,
"line_max": 135,
"alpha_frac": 0.6088371296,
"autogenerated": false,
"ratio": 2.988229273285568,
"config_test": false,
... |
"""Algorithms for searching and optimisation."""
import copy
def hill_climb(nsteps, start_node, get_next_node):
"""Modular hill climbing algorithm.
Example:
>>> def get_next_node(node):
... a, b = random.sample(range(len(node)), 2)
... node[a], node[b] = node[b], node[a]
... | {
"repo_name": "CameronLonsdale/lantern",
"path": "lantern/analysis/search.py",
"copies": "1",
"size": "1411",
"license": "mit",
"hash": -6857011294354643000,
"line_mean": 35.1794871795,
"line_max": 104,
"alpha_frac": 0.6144578313,
"autogenerated": false,
"ratio": 3.8342391304347827,
"config_tes... |
"""Algorithms for spectral clustering"""
# Author: Gael Varoquaux gael.varoquaux@normalesup.org
# Brian Cheung
# Wei LI <kuantkid@gmail.com>
# License: BSD
import warnings
import numpy as np
from ..base import BaseEstimator, ClusterMixin
from ..utils import check_random_state, as_float_array, depreca... | {
"repo_name": "florian-f/sklearn",
"path": "sklearn/cluster/spectral.py",
"copies": "2",
"size": "17870",
"license": "bsd-3-clause",
"hash": -1982757053190527200,
"line_mean": 37.9324618736,
"line_max": 79,
"alpha_frac": 0.6314493565,
"autogenerated": false,
"ratio": 4.327924436909663,
"config_... |
"""Algorithms for spectral clustering"""
# Author: Gael Varoquaux gael.varoquaux@normalesup.org
# License: BSD
import warnings
import numpy as np
from ..base import BaseEstimator, ClusterMixin
from ..utils import check_random_state
from ..utils.graph import graph_laplacian
from ..metrics.pairwise import rbf_kernel
... | {
"repo_name": "pradyu1993/scikit-learn",
"path": "sklearn/cluster/spectral.py",
"copies": "1",
"size": "14443",
"license": "bsd-3-clause",
"hash": -2560481668920930000,
"line_mean": 38.5698630137,
"line_max": 78,
"alpha_frac": 0.6484802326,
"autogenerated": false,
"ratio": 4.241703377386197,
"c... |
"""Algorithms for spectral clustering"""
# Author: Gael Varoquaux gael.varoquaux@normalesup.org
# License: BSD
import warnings
import numpy as np
from ..base import BaseEstimator
from ..utils import check_random_state
from ..utils.graph import graph_laplacian
from .k_means_ import k_means
def spectral_embedding(a... | {
"repo_name": "joshbohde/scikit-learn",
"path": "sklearn/cluster/spectral.py",
"copies": "1",
"size": "10632",
"license": "bsd-3-clause",
"hash": -1537913726048693800,
"line_mean": 36.1748251748,
"line_max": 77,
"alpha_frac": 0.647103085,
"autogenerated": false,
"ratio": 4.2528,
"config_test": ... |
"""Algorithms for the computation of Groebner bases"""
from sympy.polynomials.base import *
from sympy.polynomials import div_
def groebner(f, var=None, order=None, reduced=True):
"""Computes a (reduced) Groebner base for a given list of polynomials.
Usage:
======
The input consists of a list of ... | {
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#Algorithms for Trie
class Node():
def __init__(self,letter=None):
self.letter=letter
self.isEnd=False
self.branches={}
return
def __getitem__(self,index):
if index in self.branches:
return self.branches[index]
else:
return False
def __... | {
"repo_name": "Seenivasanseeni/PyDaS",
"path": "PDaS/Trie.py",
"copies": "1",
"size": "1990",
"license": "mit",
"hash": 6375520377288167000,
"line_mean": 23.2804878049,
"line_max": 68,
"alpha_frac": 0.5608040201,
"autogenerated": false,
"ratio": 3.273026315789474,
"config_test": false,
"has_n... |
# algorithms.py
# 14th March 2015
# Examples of Discrete Fourier Transform code in Python
# http://forum.micropython.org/viewtopic.php?f=2&t=208&hilit=fft
#
import math, cmath
# Recursive algorithm: simple but slow and stack-hungry
# Enter with a list of complex numbers of length 2**N
def fft_recursive(x):
n = le... | {
"repo_name": "peterhinch/micropython-fft",
"path": "algorithms.py",
"copies": "1",
"size": "3846",
"license": "mit",
"hash": 1769043380472413000,
"line_mean": 26.4714285714,
"line_max": 82,
"alpha_frac": 0.5200208008,
"autogenerated": false,
"ratio": 2.933638443935927,
"config_test": false,
... |
# algorithms.py
# 14th March 2015
# Examples of Discrete Fourier Transform code in Python
# http://forum.micropython.org/viewtopic.php?f=2&t=208&hilit=fft
# Released under the MIT license.
#
import math, cmath
# Recursive algorithm: simple but slow and stack-hungry
# Enter with an array of complex numbers of length 2*... | {
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"path": "algorithms.py",
"copies": "1",
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"ha... |
# algorithms.py
"""Contains various quantum computing algorithms."""
from cmath import exp
from math import asin, ceil, log, pi, sqrt
from numpy import eye, outer
from quantum.gate_factory import function_gate, grover_diffusion_operator,\
hadamard_gate
from quantum.quantum_gate impor... | {
"repo_name": "kcoltin/quantum",
"path": "python/quantum/algorithms.py",
"copies": "1",
"size": "6654",
"license": "mit",
"hash": -6655314907934318000,
"line_mean": 29.66359447,
"line_max": 80,
"alpha_frac": 0.6127141569,
"autogenerated": false,
"ratio": 3.3931667516573176,
"config_test": false... |
# algorithms.py
# This is all about searches and sorts
# Binary search is definitely faster than Linear search
# Python's built in sort is ridiculously faster than Selection, 2nd, and Insertion, 3rd, but Selection is only around 30% faster.
# <Chad Hobbs>
def readData(filename):
numbers = []
infile = o... | {
"repo_name": "itsallvoodoo/csci-school",
"path": "CSCI220/Week 11 - MAR26-30/Lab 11 - APR04/algorithms.py",
"copies": "1",
"size": "3060",
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"line_mean": 25.3214285714,
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"autogenerated": false,
"rati... |
"""Algorithms related to graphs."""
from __future__ import absolute_import
import numpy as np
import scipy as sp
from scipy import sparse
from . import amg_core
__all__ = ['maximal_independent_set', 'vertex_coloring',
'bellman_ford',
'lloyd_cluster', 'connected_components']
from pyamg.graph_r... | {
"repo_name": "pyamg/pyamg",
"path": "pyamg/graph.py",
"copies": "1",
"size": "12162",
"license": "mit",
"hash": 1385509611404787500,
"line_mean": 25.8476821192,
"line_max": 86,
"alpha_frac": 0.5719454037,
"autogenerated": false,
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"config_test": false,
"has_no_keyw... |
"""Algorithms related to graphs"""
__docformat__ = "restructuredtext en"
import numpy as np
import scipy as sp
from scipy import sparse
import amg_core
__all__ = ['maximal_independent_set', 'vertex_coloring', 'bellman_ford',
'lloyd_cluster', 'connected_components']
def max_value(datatype):
try:
... | {
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"path": "pyamg/graph.py",
"copies": "2",
"size": "9545",
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"autogenerated": false,
"ratio": 3.5682242990654207,
"config_test": false,
"has... |
"""Algorithms related to graphs"""
__docformat__ = "restructuredtext en"
import numpy
import scipy
from scipy import sparse
import amg_core
__all__ = ['maximal_independent_set', 'vertex_coloring', 'bellman_ford',
'lloyd_cluster', 'connected_components']
def max_value(datatype):
try:
return ... | {
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""" algorithms tests
thomas moll 2015
"""
import unittest
import algorithms
class TestAlgorithms(unittest.TestCase):
def setUp(self):
self.list_a = [12,43,60,32,10]
self.list_b = [43,60,32,10,12]
self.list_c = [10,12,9,7,40,6]
self.big_sorted = list(xrange(1000)... | {
"repo_name": "QuantumFractal/Data-Structure-Zoo",
"path": "1-Algorithm Analysis/test.py",
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"ratio": 3.3619302949061662,
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"""Algorithms to determine the roots of polynomials"""
from sympy.polynomials.base import *
from sympy.polynomials import div_, groebner_
def cubic(f):
"""Computes the roots of a cubic polynomial.
Usage:
======
This function is called by the wrapper L{roots}, don't use it
directly. The in... | {
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"con... |
"""Algorithms to reorder triangle list order and vertex order aiming to
minimize vertex cache misses.
This is effectively an implementation of
'Linear-Speed Vertex Cache Optimisation' by Tom Forsyth, 28th September 2006
http://home.comcast.net/~tom_forsyth/papers/fast_vert_cache_opt.html
"""
# ***** BEGIN LICENSE BLO... | {
"repo_name": "griest024/PokyrimTools",
"path": "pyffi-develop/pyffi/utils/vertex_cache.py",
"copies": "1",
"size": "19824",
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"ratio": 4.043238833367326,
... |
"""Algorithms to support fitting routines in seaborn plotting functions."""
from __future__ import division
import numpy as np
from scipy import stats
from .external.six.moves import range
def bootstrap(*args, **kwargs):
"""Resample one or more arrays with replacement and store aggregate values.
Positional a... | {
"repo_name": "cpcloud/seaborn",
"path": "seaborn/algorithms.py",
"copies": "1",
"size": "6873",
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"ratio": 3.7252032520325202,
"config_test": f... |
"""Algorithms to support fitting routines in seaborn plotting functions."""
from __future__ import division
import numpy as np
from scipy import stats
from six.moves import range
def bootstrap(*args, **kwargs):
"""Resample one or more arrays with replacement and store aggregate values.
Positional arguments a... | {
"repo_name": "yarikoptic/seaborn",
"path": "seaborn/algorithms.py",
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"""Algorithms to support fitting routines in seaborn plotting functions."""
from __future__ import division
import numpy as np
from scipy import stats
import warnings
from .external.six import string_types
from .external.six.moves import range
def bootstrap(*args, **kwargs):
"""Resample one or more arrays with re... | {
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"path": "seaborn/algorithms.py",
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"""Algorithms to support fitting routines in seaborn plotting functions."""
import numbers
import numpy as np
import warnings
def bootstrap(*args, **kwargs):
"""Resample one or more arrays with replacement and store aggregate values.
Positional arguments are a sequence of arrays to bootstrap along the first
... | {
"repo_name": "mwaskom/seaborn",
"path": "seaborn/algorithms.py",
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""" Algorithms, using only one class for classification
Though this focuses on one class, the relation to the ``REST`` should still
be specified.
"""
from pySPACE.missions.nodes.classification.base import RegularizedClassifierBase
import logging
# import the external libraries
from pySPACE.missions.nodes.classificati... | {
"repo_name": "pyspace/pyspace",
"path": "pySPACE/missions/nodes/classification/one_class.py",
"copies": "3",
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# Algorithms were taken directly from https://github.com/dgasmith/psi4numpy/blob/master/Coupled-Cluster/CCSD.dat
# Special thanks to Daniel Crawford's programming website:
# http://sirius.chem.vt.edu/wiki/doku.php?id=crawdad:programming
import time
import numpy as np
from itertools import product
from functools import... | {
"repo_name": "Konjkov/pyquante2",
"path": "pyquante2/cc/ccsd.py",
"copies": "1",
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"""Simple test of the algorithms used in the Atlas 6DOF simulation framework."""
import numpy as np
import numpy.matlib as m
from scipy.integrate import odeint
#import datetime
from EarthFrame import *
# The state vector X is laid out as follows:
# 0 - x - x axis coordinate (m)
# 1 - y - y axis coordinat... | {
"repo_name": "pchokanson/atlas-sim",
"path": "algorithm-test.py",
"copies": "1",
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"... |
"""Algorithm Tests."""
from SafeRLBench.algo import PolicyGradient, A3C
from SafeRLBench.envs import LinearCar
from .policygradient import CentralFDEstimator, estimators
from SafeRLBench.policy import NeuralNetwork
from unittest2 import TestCase
from mock import MagicMock, Mock
class TestPolicyGradient(TestCase):
... | {
"repo_name": "befelix/Safe-RL-Benchmark",
"path": "SafeRLBench/algo/test.py",
"copies": "1",
"size": "1382",
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"line_max": 77,
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"autogenerated": false,
"ratio": 3.7967032967032965,
"config_test... |
# Algorithm to compute pi via subdividing unit square recursively
# and seeing it is part of the circle or not.
from __future__ import division
def iterate(x, y, iteration, N):
'''
Determines whether a square
size = (1 / 2 ^ iteration)
at coord (x, y)
is inside the unit circle or not.
returns... | {
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"has_no_... |
# Algorithm Trial 01
# Purpose: compare 2 signals to find a measure of their correlation
# Method: inspired by cross-correlation.
# - Multiply of the signals' values at each time step, and sum all the
# multiples, and normalize (divide by length of vector).
# - offset how the signals are lined-up by 1, a... | {
"repo_name": "Ondross/statsq",
"path": "correlation.py",
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"line_max": 100,
"alpha_frac": 0.609540636,
"autogenerated": false,
"ratio": 3.1213235294117645,
"config_test": false,
"has_no_keywords"... |
# Algos from https://github.com/dirceup/tiled-vegetation-indices/blob/master/app/lib/vegetation_index.rb
# Functions can use all of the supported functions and operators from
# https://numexpr.readthedocs.io/en/latest/user_guide.html#supported-operators
import re
from functools import lru_cache
from django.utils.trans... | {
"repo_name": "OpenDroneMap/WebODM",
"path": "app/api/formulas.py",
"copies": "1",
"size": "5539",
"license": "mpl-2.0",
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"line_mean": 33.61875,
"line_max": 159,
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"autogenerated": false,
"ratio": 3.183333333333333,
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"... |
"""
Generate visualizations of classification, regression, and clustering
"""
##########################################################################
## Imports
##########################################################################
import numpy as np
from sklearn import datasets
import matplotlib.pyplot as pl... | {
"repo_name": "wavelets/machine-learning",
"path": "code/algviz.py",
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... |
# Alias 8 remote script for Ableton Live 10.
# by Kevin Ferguson (http://www.ofrecordings.com/)
from __future__ import with_statement
g_logger = None
DEBUG = True
def log(msg):
global g_logger
if DEBUG:
if g_logger is not None:
g_logger(msg)
import Live
import MidiRemoteScript
from _Fra... | {
"repo_name": "macfergus/alias8",
"path": "alias8/alias.py",
"copies": "1",
"size": "7443",
"license": "cc0-1.0",
"hash": -5127657943387977000,
"line_mean": 32.9863013699,
"line_max": 78,
"alpha_frac": 0.5890098079,
"autogenerated": false,
"ratio": 3.6755555555555555,
"config_test": false,
"h... |
"""Alias command."""
from . import Command
from ...packets import MessagePacket
class Alias(Command):
"""Alias command."""
COMMAND = "alias"
@Command.command(role="moderator")
async def add(self, alias: "?command", command: "?command", *_: False,
raw: "packet"):
"""Add a n... | {
"repo_name": "CactusDev/CactusBot",
"path": "cactusbot/commands/magic/alias.py",
"copies": "2",
"size": "1908",
"license": "mit",
"hash": 2289707931717732900,
"line_mean": 31.8965517241,
"line_max": 78,
"alpha_frac": 0.5393081761,
"autogenerated": false,
"ratio": 4.468384074941452,
"config_tes... |
""" Aliases gather aliasing informations. """
from pythran.analyses.global_declarations import GlobalDeclarations
from pythran.intrinsic import Intrinsic, Class, NewMem
from pythran.passmanager import ModuleAnalysis
from pythran.syntax import PythranSyntaxError
from pythran.tables import functions, methods, MODULES
im... | {
"repo_name": "pombredanne/pythran",
"path": "pythran/analyses/aliases.py",
"copies": "2",
"size": "14289",
"license": "bsd-3-clause",
"hash": 6622609306301754000,
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"line_max": 78,
"alpha_frac": 0.5474840787,
"autogenerated": false,
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"config... |
""" Aliases gather aliasing informations. """
from pythran.analyses.global_declarations import GlobalDeclarations
from pythran.intrinsic import Intrinsic, Class, UnboundValue
from pythran.passmanager import ModuleAnalysis
from pythran.syntax import PythranSyntaxError
from pythran.tables import functions, methods, MODU... | {
"repo_name": "serge-sans-paille/pythran",
"path": "pythran/analyses/aliases.py",
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"autogenerated": false,
"ratio": 4.141232794733693,
"... |
ALIASES = {
'name': {
'honk': 'Kousaka Honoka',
'bird': 'Minami Kotori',
'birb': 'Minami Kotori',
'eri': 'Ayase Eli',
'harasho': 'Ayase Eli',
'yohane': 'Tsushima Yoshiko',
'datenshi': 'Tsushima Yoshiko',
'hana': 'Koizumi Hanayo',
'pana': 'Koizu... | {
"repo_name": "DamourYouKnow/HAHA-NO-UR",
"path": "core/argument_parser.py",
"copies": "1",
"size": "4227",
"license": "mit",
"hash": -5607456562393811000,
"line_mean": 27.7142857143,
"line_max": 71,
"alpha_frac": 0.5188343994,
"autogenerated": false,
"ratio": 3.015,
"config_test": false,
"ha... |
"""aliases.txt support."""
import re
import util
from errors import FileError
def load_aliases(filename):
"""
Loads aliases.txt-formatted file and returns a dict.
Accepted formats:
aliasname,keystrokes (QF1.x style)
aliasname:keystrokes (QF2.x style)
"""
al... | {
"repo_name": "ev1l0rd/yalnpv",
"path": "quickfort/src/qfconvert/aliases.py",
"copies": "3",
"size": "2056",
"license": "mit",
"hash": -7163744323356857000,
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"line_max": 78,
"alpha_frac": 0.5578793774,
"autogenerated": false,
"ratio": 4.047244094488189,
"config_test":... |
"""Alias for module blend.
Deprecated module. Original name for module blend.py. Was changed in 0.2.8.
"""
from __future__ import print_function, division, absolute_import
import imgaug as ia
from . import blend
_DEPRECATION_COMMENT = (
"It has the same interface, except that the parameter "
"`first` was r... | {
"repo_name": "aleju/ImageAugmenter",
"path": "imgaug/augmenters/overlay.py",
"copies": "2",
"size": "1920",
"license": "mit",
"hash": -6990266061294369000,
"line_mean": 33.2857142857,
"line_max": 75,
"alpha_frac": 0.7020833333,
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"config_test"... |
alias_help = """
Dynamic alias creator for system Windows.
Features:
- execute program in fork, or in current command line
- custom static invoke arguments
Requirements:
- python
- folder with script in system PATH
EXAMPLES:
1) Register this script as new alias with name 'alias':
python {script}... | {
"repo_name": "asRIA/alias",
"path": "alias.py",
"copies": "1",
"size": "6270",
"license": "mit",
"hash": -7828211434235067000,
"line_mean": 29.7352941176,
"line_max": 112,
"alpha_frac": 0.6301435407,
"autogenerated": false,
"ratio": 3.820840950639854,
"config_test": false,
"has_no_keywords":... |
"""Alias related views."""
from django.core.urlresolvers import reverse
from django.db import IntegrityError
from django.shortcuts import render
from django.utils.translation import ugettext as _, ungettext
from django.views import generic
from django.contrib.auth import mixins as auth_mixins
from django.contrib.auth... | {
"repo_name": "carragom/modoboa",
"path": "modoboa/admin/views/alias.py",
"copies": "1",
"size": "4006",
"license": "isc",
"hash": -9216744546486646000,
"line_mean": 30.0542635659,
"line_max": 76,
"alpha_frac": 0.6615077384,
"autogenerated": false,
"ratio": 4.014028056112225,
"config_test": fal... |
"""Alias related views."""
from __future__ import unicode_literals
from django.core.urlresolvers import reverse
from django.db import IntegrityError
from django.shortcuts import render
from django.utils.translation import ugettext as _, ungettext
from django.views import generic
from django.contrib.auth import mixin... | {
"repo_name": "bearstech/modoboa",
"path": "modoboa/admin/views/alias.py",
"copies": "1",
"size": "4029",
"license": "isc",
"hash": -3332303187644758500,
"line_mean": 29.7557251908,
"line_max": 76,
"alpha_frac": 0.6619508563,
"autogenerated": false,
"ratio": 4.0129482071713145,
"config_test": f... |
"""Alias related views."""
from reversion import revisions as reversion
from django.contrib.auth import mixins as auth_mixins
from django.contrib.auth.decorators import login_required, permission_required
from django.db import IntegrityError
from django.shortcuts import render
from django.urls import reverse
from dja... | {
"repo_name": "modoboa/modoboa",
"path": "modoboa/admin/views/alias.py",
"copies": "1",
"size": "3965",
"license": "isc",
"hash": 4242295708826724000,
"line_mean": 30.72,
"line_max": 78,
"alpha_frac": 0.6617906683,
"autogenerated": false,
"ratio": 4.02129817444219,
"config_test": false,
"has_... |
# alias to keep the 'bytecode' variable free
from _pydevd_frame_eval.vendored import bytecode as _bytecode
from _pydevd_frame_eval.vendored.bytecode.concrete import ConcreteInstr
from _pydevd_frame_eval.vendored.bytecode.instr import Label, SetLineno, Instr
class BasicBlock(_bytecode._InstrList):
def __init__(sel... | {
"repo_name": "fabioz/PyDev.Debugger",
"path": "_pydevd_frame_eval/vendored/bytecode/cfg.py",
"copies": "1",
"size": "14433",
"license": "epl-1.0",
"hash": 5153407549036227000,
"line_mean": 31.5801354402,
"line_max": 85,
"alpha_frac": 0.5609367422,
"autogenerated": false,
"ratio": 4.4864780851725... |
# alias to keep the 'bytecode' variable free
from _pydevd_frame_eval.vendored import bytecode as _bytecode
try:
from enum import IntFlag
except ImportError:
from aenum import IntFlag
class CompilerFlags(IntFlag):
"""Possible values of the co_flags attribute of Code object.
Note: We do not rely on in... | {
"repo_name": "fabioz/PyDev.Debugger",
"path": "_pydevd_frame_eval/vendored/bytecode/flags.py",
"copies": "2",
"size": "5812",
"license": "epl-1.0",
"hash": -7843855972920849000,
"line_mean": 31.8361581921,
"line_max": 85,
"alpha_frac": 0.599449415,
"autogenerated": false,
"ratio": 4.386415094339... |
# alias to keep the 'bytecode' variable free
import bytecode as _bytecode
from bytecode.concrete import ConcreteInstr
from bytecode.instr import Label, SetLineno, Instr
class BasicBlock(_bytecode._InstrList):
def __init__(self, instructions=None):
# a BasicBlock object, or None
self.next_block = ... | {
"repo_name": "haypo/bytecode",
"path": "bytecode/cfg.py",
"copies": "1",
"size": "10025",
"license": "mit",
"hash": 2972598080645481500,
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"alpha_frac": 0.536957606,
"autogenerated": false,
"ratio": 4.391151992991678,
"config_test": false,
"has_no_ke... |
# alias to keep the 'bytecode' variable free
import bytecode as _bytecode
from bytecode.instr import UNSET, Label, SetLineno, Instr
from bytecode.flags import infer_flags
class BaseBytecode:
def __init__(self):
self.argcount = 0
self.kwonlyargcount = 0
self.first_lineno = 1
self.n... | {
"repo_name": "haypo/bytecode",
"path": "bytecode/bytecode.py",
"copies": "1",
"size": "4763",
"license": "mit",
"hash": 5956348102641009000,
"line_mean": 31.4013605442,
"line_max": 77,
"alpha_frac": 0.5767373504,
"autogenerated": false,
"ratio": 4.341841385597083,
"config_test": false,
"has_... |
# alias to keep the 'bytecode' variable free
import bytecode as _bytecode
try:
from enum import IntFlag
except ImportError:
from aenum import IntFlag
class CompilerFlags(IntFlag):
"""Possible values of the co_flags attribute of Code object.
Note: We do not rely on inspect values here as some of them ... | {
"repo_name": "haypo/bytecode",
"path": "bytecode/flags.py",
"copies": "1",
"size": "3449",
"license": "mit",
"hash": 2976361441260728300,
"line_mean": 37.7528089888,
"line_max": 79,
"alpha_frac": 0.5737895042,
"autogenerated": false,
"ratio": 4.130538922155688,
"config_test": false,
"has_no_... |
# alias to keep the 'bytecode' variable free
import sys
from _pydevd_frame_eval.vendored import bytecode as _bytecode
from _pydevd_frame_eval.vendored.bytecode.instr import UNSET, Label, SetLineno, Instr
from _pydevd_frame_eval.vendored.bytecode.flags import infer_flags
class BaseBytecode:
def __init__(self):
... | {
"repo_name": "fabioz/PyDev.Debugger",
"path": "_pydevd_frame_eval/vendored/bytecode/bytecode.py",
"copies": "1",
"size": "6650",
"license": "epl-1.0",
"hash": -2455584496067711000,
"line_mean": 30.9711538462,
"line_max": 88,
"alpha_frac": 0.5822556391,
"autogenerated": false,
"ratio": 4.23297262... |
# alias to keep the 'bytecode' variable free
from _pydevd_frame_eval.vendored import bytecode as _bytecode
from _pydevd_frame_eval.vendored.bytecode.concrete import ConcreteInstr
from _pydevd_frame_eval.vendored.bytecode.instr import Label, SetLineno, Instr
class BasicBlock(_bytecode._InstrList):
def __ini... | {
"repo_name": "glenngillen/dotfiles",
"path": ".vscode/extensions/ms-python.python-2021.5.842923320/pythonFiles/lib/python/debugpy/_vendored/pydevd/_pydevd_frame_eval/vendored/bytecode/cfg.py",
"copies": "1",
"size": "15328",
"license": "mit",
"hash": -223557488881105380,
"line_mean": 32.2142857143,
"l... |
# alias to keep the 'bytecode' variable free
from _pydevd_frame_eval.vendored import bytecode as _bytecode
try:
from enum import IntFlag
except ImportError:
from aenum import IntFlag
class CompilerFlags(IntFlag):
"""Possible values of the co_flags attribute of Code object.
Note: We do no... | {
"repo_name": "glenngillen/dotfiles",
"path": ".vscode/extensions/ms-python.python-2021.5.842923320/pythonFiles/lib/python/debugpy/_vendored/pydevd/_pydevd_frame_eval/vendored/bytecode/flags.py",
"copies": "1",
"size": "5989",
"license": "mit",
"hash": -5257391810324939000,
"line_mean": 31.8361581921,
... |
# alias to keep the 'bytecode' variable free
import sys
from _pydevd_frame_eval.vendored import bytecode as _bytecode
from _pydevd_frame_eval.vendored.bytecode.instr import UNSET, Label, SetLineno, Instr
from _pydevd_frame_eval.vendored.bytecode.flags import infer_flags
class BaseBytecode:
def __init__(se... | {
"repo_name": "glenngillen/dotfiles",
"path": ".vscode/extensions/ms-python.python-2021.5.842923320/pythonFiles/lib/python/debugpy/_vendored/pydevd/_pydevd_frame_eval/vendored/bytecode/bytecode.py",
"copies": "1",
"size": "6986",
"license": "mit",
"hash": -6572307525388392000,
"line_mean": 31.9126213592,... |
ALIBABA_API_URL = 'http://gw.api.alibaba.com/openapi/param2/2/portals.open/%(api_call)s/%(api_key)s?%(call_parameters)s'
ALIBABA_API_CALLS = {
'list': 'api.listPromotionProduct',
'details': 'api.getPromotionProductDetail',
'links': 'api.getPromotionLinks'
}
ALIBABA_API_PARAMS = {
'list': [
'fi... | {
"repo_name": "kronas/python-aliexpress-api-client",
"path": "aliexpress_api_client/config.py",
"copies": "1",
"size": "4910",
"license": "mit",
"hash": 5042680528330674000,
"line_mean": 27.7134502924,
"line_max": 120,
"alpha_frac": 0.5753564155,
"autogenerated": false,
"ratio": 3.77401998462721,... |
# A library and utility for drawing ONNX nets. Most of this implementation has
# been borrowed from the caffe2 implementation
# https://github.com/caffe2/caffe2/blob/master/caffe2/python/net_drawer.py
#
# The script takes two required arguments:
# -input: a path to a serialized ModelProto .pb file.
# -output: a pat... | {
"repo_name": "mlperf/training_results_v0.7",
"path": "Fujitsu/benchmarks/resnet/implementations/implementation_open/mxnet/3rdparty/onnx-tensorrt/third_party/onnx/onnx/tools/net_drawer.py",
"copies": "2",
"size": "5101",
"license": "apache-2.0",
"hash": 7507450820229027000,
"line_mean": 33.2348993289,
... |
# A library file for simplifying pygame interaction. You MUST place this file in the same directory as your game py files.
'''This code is the original work of Luther Tychonievich, who releases it
into the public domain.
As a courtesy, Luther would appreciate it if you acknowledged him in any work
that benefited fro... | {
"repo_name": "acs3ss/austinsullivan.github.io",
"path": "files/Gamebox/gamebox.py",
"copies": "1",
"size": "26384",
"license": "unlicense",
"hash": -772929578608106800,
"line_mean": 42.2524590164,
"line_max": 183,
"alpha_frac": 0.5740600364,
"autogenerated": false,
"ratio": 3.448438112665011,
... |
"""A Library for accessing the Science Logic EM7.
"""
from setuptools import setup, find_packages
from codecs import open
from os import path
here = path.abspath(path.dirname(__file__))
with open(path.join(here, 'DESCRIPTION.rst'), encoding='utf-8') as f:
long_description = f.read()
setup(
name='pyem7',
... | {
"repo_name": "the-kid89/pyem7",
"path": "setup.py",
"copies": "1",
"size": "1397",
"license": "bsd-3-clause",
"hash": 3946435962172243000,
"line_mean": 31.488372093,
"line_max": 89,
"alpha_frac": 0.5862562634,
"autogenerated": false,
"ratio": 3.8591160220994474,
"config_test": false,
"has_no... |
"""A library for creating graphs using Unicode braille characters.
https://pypi.python.org/pypi/braillegraph
Someone on reddit posted a screenshot of their xmobar setup, which used braille
characters to show the loads of their four processor cores, as well as several
other metrics. I was impressed that you could fit ... | {
"repo_name": "chrisbouchard/braillegraph",
"path": "braillegraph/__main__.py",
"copies": "1",
"size": "3356",
"license": "bsd-2-clause",
"hash": -5837396303707746000,
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"line_max": 79,
"alpha_frac": 0.6458333333,
"autogenerated": false,
"ratio": 3.942857142857143,
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"""A library for *curl*.
Add new keywords here to invoke curl in a desired way
\`Get_Url_Status\`
\`Check_For_Dead_Links\`.
"""
import subprocess
import re
import time
from selenium import webdriver
from selenium.common.exceptions import StaleElementReferenceException
class curl(object):
ROBOT_LIBRARY_VERSION ... | {
"repo_name": "ayxos/react-cellar",
"path": "e2e/robot/resources/lib/curl/curl.py",
"copies": "16",
"size": "9243",
"license": "mit",
"hash": 5423838486920210000,
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"line_max": 148,
"alpha_frac": 0.6084604566,
"autogenerated": false,
"ratio": 4.1766832354270225,
"confi... |
"""A library for dealing with authentication."""
from functools import wraps
__all__ = ['Need', 'needs', 'no_need']
class Need(object):
"""An authentication requirement.
This can be used in a few different ways. Calling the need returns a
boolean which indicates whether or not the need is me... | {
"repo_name": "astex/needs",
"path": "needs/base.py",
"copies": "1",
"size": "5139",
"license": "mit",
"hash": 190132734270362500,
"line_mean": 24.9545454545,
"line_max": 79,
"alpha_frac": 0.54271259,
"autogenerated": false,
"ratio": 4.1645056726094,
"config_test": false,
"has_no_keywords": f... |
"""A library for dealing with authentication."""
from needs import Need
from werkzeug.exceptions import Unauthorized, Forbidden
__all__ = [
'SelfNeed', 'no_apps_need', 'app_need', 'login_need', 'admin_need',
'csrf_need'
]
class FlaskNeed(Need):
"""A basic need with some handy flask wrapping."""
... | {
"repo_name": "astex/peanuts",
"path": "peanuts/lib/auth.py",
"copies": "1",
"size": "3540",
"license": "mit",
"hash": -4424007504795224000,
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"line_max": 78,
"alpha_frac": 0.5991525424,
"autogenerated": false,
"ratio": 4.14519906323185,
"config_test": false,
"has_no_... |
"""A library for dealing with session-based authentication."""
from werkzeug.exceptions import Forbidden
from flask.sessions import SecureCookieSession, SecureCookieSessionInterface
__all__ = ['PeanutsSessionInterface']
class PeanutsSession(SecureCookieSession):
"""A custom session object for use with peanuts... | {
"repo_name": "astex/peanuts",
"path": "peanuts/lib/session.py",
"copies": "1",
"size": "1964",
"license": "mit",
"hash": 282019314125100860,
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"line_max": 76,
"alpha_frac": 0.633910387,
"autogenerated": false,
"ratio": 4.4840182648401825,
"config_test": false,
"has_... |
"""A library for finding approximate subsequence matches.
Contains several implementations of fuzzy sub-sequence search functions. Such
functions find parts of a sequence which match a given sub-sequence up to a
given maximum Levenshtein distance.
The simplest use is via the find_near_matches utility function, which ... | {
"repo_name": "taleinat/fuzzysearch",
"path": "src/fuzzysearch/__init__.py",
"copies": "1",
"size": "7866",
"license": "mit",
"hash": 5272758319984604000,
"line_mean": 38.33,
"line_max": 90,
"alpha_frac": 0.6092041698,
"autogenerated": false,
"ratio": 4.213176218532405,
"config_test": false,
... |
"""A library for generating fake user data"""
VERSION = (0,0,4)
__version__ = ".".join(map(str, VERSION))
__author__ = "Dylan Clendenin"
__contact__ = "dylan.clendenin@gmail.com"
__homepage__ = "https://github.com/deepthawtz/faker"
__all__ = ("Faker",)
import random
from faker import data
from faker import patterns
f... | {
"repo_name": "mgedmin/faker",
"path": "faker/__init__.py",
"copies": "2",
"size": "2983",
"license": "mit",
"hash": -8164056640425130000,
"line_mean": 29.1313131313,
"line_max": 104,
"alpha_frac": 0.5581629232,
"autogenerated": false,
"ratio": 3.6289537712895377,
"config_test": false,
"has_n... |
"""A library for generating fake user data"""
VERSION = (0,1,4)
__version__ = ".".join(map(str, VERSION))
__author__ = "Dylan Clendenin"
__contact__ = "dylan.clendenin@gmail.com"
__homepage__ = "https://github.com/deepthawtz/faker"
__all__ = ("Faker",)
import random
import warnings
from faker import data
from faker i... | {
"repo_name": "deepthawtz/faker",
"path": "faker/__init__.py",
"copies": "1",
"size": "4504",
"license": "mit",
"hash": -5438433923563680000,
"line_mean": 31.1714285714,
"line_max": 102,
"alpha_frac": 0.5810390764,
"autogenerated": false,
"ratio": 3.6827473426001633,
"config_test": false,
"ha... |
"""A library for helping optimizing Python extensions compilation."""
from sys import version_info as _version_info
if _version_info[0] < 3 or (_version_info[0] == 3 and _version_info[1] < 6):
raise ImportError("Compilertools needs Python 3.6 or above.")
del _version_info
from compilertools._version import __ver... | {
"repo_name": "JGoutin/compilertools",
"path": "compilertools/__init__.py",
"copies": "1",
"size": "1092",
"license": "bsd-2-clause",
"hash": 3798193727462256000,
"line_mean": 25.6341463415,
"line_max": 82,
"alpha_frac": 0.6923076923,
"autogenerated": false,
"ratio": 4.029520295202952,
"config_... |
"""A library for integrating pyOpenSSL with CherryPy.
The OpenSSL module must be importable for SSL functionality.
You can obtain it from `here <https://launchpad.net/pyopenssl>`_.
To use this module, set CherryPyWSGIServer.ssl_adapter to an instance of
SSLAdapter. There are two ways to use SSL:
Method One
---------... | {
"repo_name": "Hernrup/django-wsgiserver3",
"path": "django_wsgiserver/wsgiserver/ssl_pyopenssl.py",
"copies": "1",
"size": "9160",
"license": "bsd-3-clause",
"hash": 4781519175381370000,
"line_mean": 35.4940239044,
"line_max": 79,
"alpha_frac": 0.5804585153,
"autogenerated": false,
"ratio": 4.17... |
"""A library for integrating pyOpenSSL with CherryPy.
The OpenSSL module must be importable for SSL functionality.
You can obtain it from http://pyopenssl.sourceforge.net/
To use this module, set CherryPyWSGIServer.ssl_adapter to an instance of
SSLAdapter. There are two ways to use SSL:
Method One:
ssl_adapter.c... | {
"repo_name": "southpawtech/TACTIC-DEV",
"path": "3rd_party/CherryPy/cherrypy/wsgiserver/ssl_pyopenssl.py",
"copies": "7",
"size": "9378",
"license": "epl-1.0",
"hash": -7422377571311049000,
"line_mean": 37.9128630705,
"line_max": 86,
"alpha_frac": 0.5592876946,
"autogenerated": false,
"ratio": 4... |
"""A library for integrating pyOpenSSL with CherryPy.
The ssl module must be importable for SSL functionality.
To use this module, set CherryPyWSGIServer.ssl_adapter to an instance of
BuiltinSSLAdapter.
ssl_adapter.certificate: the filename of the server SSL certificate.
ssl_adapter.private_key: the filename... | {
"repo_name": "mwx1993/TACTIC",
"path": "3rd_party/CherryPy/cherrypy/wsgiserver/ssl_builtin.py",
"copies": "7",
"size": "2541",
"license": "epl-1.0",
"hash": 1958851954904281000,
"line_mean": 35.8260869565,
"line_max": 78,
"alpha_frac": 0.6099960645,
"autogenerated": false,
"ratio": 4.29949238578... |
"""A library for integrating Python's builtin ``ssl`` library with CherryPy.
The ssl module must be importable for SSL functionality.
To use this module, set ``CherryPyWSGIServer.ssl_adapter`` to an instance of
``BuiltinSSLAdapter``.
"""
try:
import ssl
except ImportError:
ssl = None
from cherrypy import ws... | {
"repo_name": "jolth/websiteDevMicrosystem",
"path": "web/wsgiserver/ssl_builtin.py",
"copies": "79",
"size": "2589",
"license": "apache-2.0",
"hash": -7540007263591561000,
"line_mean": 34.9583333333,
"line_max": 78,
"alpha_frac": 0.5998455002,
"autogenerated": false,
"ratio": 4.329431438127091,
... |
"""A library for math related things
Copyright 2015 Heung Ming Tai
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law... | {
"repo_name": "hermantai/sorno-py-scripts",
"path": "sorno/mathlib.py",
"copies": "1",
"size": "2471",
"license": "apache-2.0",
"hash": -2402409308476059000,
"line_mean": 27.4022988506,
"line_max": 79,
"alpha_frac": 0.6171590449,
"autogenerated": false,
"ratio": 4.084297520661157,
"config_test"... |
"""A library for parsing and evaluating dice notation."""
from __future__ import absolute_import, print_function, unicode_literals
from pyparsing import ParseBaseException
import dice.elements
import dice.grammar
import dice.utilities
from dice.constants import DiceExtreme
from dice.exceptions import DiceBaseExcepti... | {
"repo_name": "borntyping/python-dice",
"path": "dice/__init__.py",
"copies": "1",
"size": "1739",
"license": "mit",
"hash": 7790421438806954000,
"line_mean": 25.7538461538,
"line_max": 83,
"alpha_frac": 0.6797009776,
"autogenerated": false,
"ratio": 3.6457023060796647,
"config_test": false,
... |
"""A library for parsing Heroes of the Storm replays."""
from s2protocol.mpyq import mpyq
from s2protocol import protocol34784 as proto
class Replay(object):
def __init__(self, replay_file):
self.replay_file = replay_file
self.archive = mpyq.MPQArchive(self.replay_file)
def _get_header(self):... | {
"repo_name": "HoTSStuff/replaylib",
"path": "replaylib/ReplayLib.py",
"copies": "1",
"size": "2057",
"license": "apache-2.0",
"hash": -4096498512928898000,
"line_mean": 35.7321428571,
"line_max": 76,
"alpha_frac": 0.6431696646,
"autogenerated": false,
"ratio": 3.9633911368015413,
"config_test"... |
import trunk.matgen
from numpy import *
def oldCompleteCholesky(M):
''' Computes the cholesky factorization of a matrix M, i.e the
lower triangular matrix T such as M = T . T.transpose
M should be a symmetric positive definite matrix
runs in O(n^3/3) where M is a matrix of size nxn'''
n = M.shape[0... | {
"repo_name": "ethiery/heat-solver",
"path": "trunk/cholesky.py",
"copies": "1",
"size": "2853",
"license": "mit",
"hash": 4237637251507400700,
"line_mean": 30.0108695652,
"line_max": 106,
"alpha_frac": 0.4994742376,
"autogenerated": false,
"ratio": 3.2128378378378377,
"config_test": false,
"... |
# A library for the molecular dynamics simulation of a gas using verlet integration
# William Gilpin 2014
from matplotlib import pyplot
from scipy import *
from numpy import *
from random import randrange
# NOTE: it might be more clever to construct entire simulation as a CLASS with dt, dx, dy as attributes
# and an ... | {
"repo_name": "williamgilpin/vergas",
"path": "vergas_funcs.py",
"copies": "1",
"size": "4839",
"license": "mit",
"hash": 2452828129331204600,
"line_mean": 32.6111111111,
"line_max": 103,
"alpha_frac": 0.5986774127,
"autogenerated": false,
"ratio": 3.0529968454258674,
"config_test": false,
"h... |
"""A library for validating SQLAlchemy-jsonapi apis."""
import copy
import functools
from jsonschema import validate as schema_validate, exceptions
from sqlalchemy.sql import sqltypes as types
_TYPE_MAP = {
types.Integer: 'integer',
types.String: 'string',
types.Boolean: 'boolean',
}
_BASE_SCHEMA = {
... | {
"repo_name": "rockstar/puff",
"path": "puff.py",
"copies": "1",
"size": "3424",
"license": "mit",
"hash": -5167272237142649000,
"line_mean": 29.5714285714,
"line_max": 78,
"alpha_frac": 0.5189836449,
"autogenerated": false,
"ratio": 4.475816993464052,
"config_test": false,
"has_no_keywords":... |
"""A library for working with Asciidoc markup."""
##==============================================================#
## DEVELOPED 2014, REVISED 2014, Jeff Rimko. #
##==============================================================#
##==============================================================#
## S... | {
"repo_name": "jeffrimko/Archiver",
"path": "app/adoclib.py",
"copies": "1",
"size": "1631",
"license": "mit",
"hash": 4455405561736292400,
"line_mean": 37.8333333333,
"line_max": 81,
"alpha_frac": 0.3513182097,
"autogenerated": false,
"ratio": 4.839762611275964,
"config_test": false,
"has_no... |
"""A Library is a local collection of bundles. It holds a database for the configuration
of the bundles that have been installed into it.
"""
# Copyright (c) 2013 Clarinova. This file is licensed under the terms of the
# Revised BSD License, included in this distribution as LICENSE.txt
from ambry.orm import Dataset,... | {
"repo_name": "kball/ambry",
"path": "ambry/library/query.py",
"copies": "1",
"size": "15936",
"license": "bsd-2-clause",
"hash": 7596141980257792000,
"line_mean": 28.0273224044,
"line_max": 145,
"alpha_frac": 0.5229041165,
"autogenerated": false,
"ratio": 4.376819555067289,
"config_test": fals... |
"""A Library is a local collection of bundles. It holds a database for the configuration
of the bundles that have been installed into it.
"""
# Copyright (c) 2013 Clarinova. This file is licensed under the terms of the
# Revised BSD License, included in this distribution as LICENSE.txt
import os.path
import ambry
... | {
"repo_name": "kball/ambry",
"path": "ambry/library/database.py",
"copies": "1",
"size": "34182",
"license": "bsd-2-clause",
"hash": 1080923694879913600,
"line_mean": 29.0633245383,
"line_max": 177,
"alpha_frac": 0.5615821192,
"autogenerated": false,
"ratio": 4.4334630350194555,
"config_test": ... |
"""A Library is a local collection of bundles. It holds a database for the configuration
of the bundles that have been installed into it.
"""
# Copyright (c) 2015 Civic Knowledge. This file is licensed under the terms of the
# Revised BSD License, included in this distribution as LICENSE.txt
import imp
import os
impor... | {
"repo_name": "CivicKnowledge/ambry",
"path": "ambry/library/__init__.py",
"copies": "1",
"size": "35853",
"license": "bsd-2-clause",
"hash": 9155002464403941000,
"line_mean": 29.4613423959,
"line_max": 121,
"alpha_frac": 0.5736479514,
"autogenerated": false,
"ratio": 4.248992652287272,
"config... |
"""A library of common shape functions."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.framework import tensor_shape
def scalar_shape(unused_op):
"""Shape function for ops that output a scalar value."""
return [tensor_shape.s... | {
"repo_name": "kcartier/tensorflow-toe-in-the-water",
"path": "tensorflow/python/ops/common_shapes.py",
"copies": "1",
"size": "13282",
"license": "apache-2.0",
"hash": -6323996811829626000,
"line_mean": 34.8972972973,
"line_max": 80,
"alpha_frac": 0.6675199518,
"autogenerated": false,
"ratio": 3... |
"""A library of common shape functions."""
import math
from tensorflow.python.framework import tensor_shape
def scalar_shape(unused_op):
"""Shape function for ops that output a scalar value."""
return [tensor_shape.scalar()]
def unchanged_shape(op):
"""Shape function for ops that output an tensor like their ... | {
"repo_name": "liyu1990/tensorflow",
"path": "tensorflow/python/ops/common_shapes.py",
"copies": "5",
"size": "13192",
"license": "apache-2.0",
"hash": 6890098805992269000,
"line_mean": 34.5579514825,
"line_max": 80,
"alpha_frac": 0.6660855064,
"autogenerated": false,
"ratio": 3.5206832132372563,... |
"""A library of components for tk with rx"""
import tkinter as tk
import rx
def create(title):
"""Create a Tk root
title - a title for the application
"""
assert isinstance(title, str)
root = tk.Tk()
root.title = title
rx.concurrency.TkinterScheduler(root)
return root
def input_stre... | {
"repo_name": "brad-h/expy",
"path": "ExPy/ExPy/tkcomponents.py",
"copies": "1",
"size": "3787",
"license": "mit",
"hash": 5672266438646759000,
"line_mean": 29.7886178862,
"line_max": 74,
"alpha_frac": 0.6501188276,
"autogenerated": false,
"ratio": 3.880122950819672,
"config_test": false,
"ha... |
"""A library of helper functions for the Cheroot test suite."""
from __future__ import absolute_import, division, print_function
__metaclass__ = type
import datetime
import logging
import os
import sys
import time
import threading
import types
from six.moves import http_client
import six
import cheroot.server
impo... | {
"repo_name": "cherrypy/cheroot",
"path": "cheroot/test/helper.py",
"copies": "1",
"size": "4896",
"license": "bsd-3-clause",
"hash": -86871369143762580,
"line_mean": 27.1379310345,
"line_max": 79,
"alpha_frac": 0.5533088235,
"autogenerated": false,
"ratio": 4.097071129707113,
"config_test": tr... |
"""A library of helper functions for the Cheroot test suite."""
import datetime
import io
import logging
import os
import subprocess
import sys
import time
import threading
import types
from six.moves import http_client
import portend
import pytest
import six
import cheroot.server
import cheroot.wsgi
from cheroot.... | {
"repo_name": "diegocortassa/TACTIC",
"path": "3rd_party/site-packages/cheroot/test/helper.py",
"copies": "2",
"size": "8516",
"license": "epl-1.0",
"hash": 2308926685222647000,
"line_mean": 27.6734006734,
"line_max": 79,
"alpha_frac": 0.5338186942,
"autogenerated": false,
"ratio": 3.885036496350... |
"""A library of helper functions for the CherryPy test suite."""
import datetime
import io
import logging
import os
import re
import subprocess
import sys
import time
import unittest
import warnings
import contextlib
import portend
import pytest
from cheroot.test import webtest
import cherrypy
from cherrypy._cpcomp... | {
"repo_name": "cherrypy/cherrypy",
"path": "cherrypy/test/helper.py",
"copies": "2",
"size": "16369",
"license": "bsd-3-clause",
"hash": -1430271156406365700,
"line_mean": 30.5394990366,
"line_max": 79,
"alpha_frac": 0.5763944041,
"autogenerated": false,
"ratio": 3.9982901807523206,
"config_tes... |
"""A library of helper functions for the CherryPy test suite."""
import datetime
import logging
log = logging.getLogger(__name__)
import os
thisdir = os.path.abspath(os.path.dirname(__file__))
serverpem = os.path.join(os.getcwd(), thisdir, 'test.pem')
import unittest
import re
import sys
import time
import warnings
... | {
"repo_name": "CodyKochmann/pi-cluster",
"path": "software/src/cherrypy/test/helper.py",
"copies": "1",
"size": "17824",
"license": "mit",
"hash": 9067739917278950000,
"line_mean": 31.3484573503,
"line_max": 79,
"alpha_frac": 0.5741135548,
"autogenerated": false,
"ratio": 4.0564406008192995,
"c... |
""" A library of object-oriented patterns """
from __future__ import division
import new, weakref
class injector:
""" Injection of new methods into an existing class
* synopsis *
class some_descriptive_text(injector, some_existing_class,
another_existing_class, ...):
... | {
"repo_name": "hickerson/bbn",
"path": "fable/fable_sources/libtbx/object_oriented_patterns.py",
"copies": "1",
"size": "4540",
"license": "mit",
"hash": -1590494384021151000,
"line_mean": 23.8087431694,
"line_max": 74,
"alpha_frac": 0.6174008811,
"autogenerated": false,
"ratio": 3.85726423109600... |
# A library of sport implementations.
import random
DRAW = 0
WIN = 1
LOSS = 2
def basic_game(team1, team2, teams, settings):
# A template for all games. The game must take two team dictionaries.
# If the game is won by a team, the result is set to the WIN constant.
# If the game is drawn, the result is... | {
"repo_name": "kdelwat/Ladder",
"path": "sports.py",
"copies": "1",
"size": "3361",
"license": "mit",
"hash": -420477309148616200,
"line_mean": 30.7169811321,
"line_max": 79,
"alpha_frac": 0.5781017554,
"autogenerated": false,
"ratio": 3.772166105499439,
"config_test": false,
"has_no_keywords... |
# A library of things to help with simple symmetry operation stuff.
#
# FIXED 17/NOV/06 add a method in here to give a list of likely, and then
# less likely, spacegroups based on an input spacegroup.
# For instance, if the input spacegroup is P 41 21 2 then
# another lik... | {
"repo_name": "xia2/xia2",
"path": "src/xia2/lib/SymmetryLib.py",
"copies": "1",
"size": "4704",
"license": "bsd-3-clause",
"hash": -3971862335227733000,
"line_mean": 24.7049180328,
"line_max": 78,
"alpha_frac": 0.5106292517,
"autogenerated": false,
"ratio": 3.239669421487603,
"config_test": fa... |
"""A library that holds the bulk of the logic for merging JSON profiles.
Collect duration statistics of events across these profiles.
Duration is measured in milliseconds.
"""
from __future__ import division
import csv
import gzip
import json
import os
def _median(lst):
"""Returns the median of the input list.
... | {
"repo_name": "bazelbuild/bazel-bench",
"path": "utils/json_profiles_merger_lib.py",
"copies": "1",
"size": "5977",
"license": "apache-2.0",
"hash": -7705798818457562000,
"line_mean": 32.2055555556,
"line_max": 80,
"alpha_frac": 0.6397858457,
"autogenerated": false,
"ratio": 3.669122160834868,
... |
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