text stringlengths 0 1.05M | meta dict |
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__author__ = 'smuthunoori'
import kivy
kivy.require('1.7.0')
from kivy.uix.relativelayout import RelativeLayout
from kivy.graphics import Line
class DraggableWidget(RelativeLayout):
def __init__(self, **kwargs):
self.selected = None
self.touched = False
super(DraggableWidget, self).__ini... | {
"repo_name": "smuthunoori/ComicCreator",
"path": "comicwidgets.py",
"copies": "1",
"size": "1926",
"license": "mit",
"hash": -7325042922836738000,
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"autogenerated": false,
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... |
__author__ = 'smuthunoori'
import kivy
kivy.require('1.7.0')
import math
from kivy.uix.togglebutton import ToggleButton
from kivy.graphics import Line
from comicwidgets import StickMan, DraggableWidget
class ToolButton(ToggleButton):
def on_touch_down(self, touch):
ds = self.parent.drawing_space
... | {
"repo_name": "smuthunoori/ComicCreator",
"path": "toolbox.py",
"copies": "1",
"size": "2772",
"license": "mit",
"hash": -7188926658007458000,
"line_mean": 28.1789473684,
"line_max": 72,
"alpha_frac": 0.5905483405,
"autogenerated": false,
"ratio": 2.917894736842105,
"config_test": false,
"has... |
from __future__ import print_function
import re
import struct
import sys
import threading
import os
import errno
import time
import datetime
from datetime import *
import serial
from serial.tools.list_ports import comports
from common import *
from MyoBT import *
from MyoRaw import *
maxsamples = 8
samplelength =... | {
"repo_name": "aelsen/Myo_Data_Analysis",
"path": "scripts_acquisition/acquiredata.py",
"copies": "2",
"size": "2881",
"license": "mit",
"hash": -7460898280741964000,
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"line_max": 138,
"alpha_frac": 0.5772301284,
"autogenerated": false,
"ratio": 3.6560913705583755,
"c... |
import numpy as np
def window_floor(idx, radius):
if radius > idx:
return 0
else:
return idx - radius
def window_ceil(idx, ceil, radius):
if idx + radius > ceil:
return ceil
else:
return idx + radius
def growcut_python(image, state, state_next, window_radius):
c... | {
"repo_name": "numfocus/python-benchmarks",
"path": "growcut/growcut_python.py",
"copies": "1",
"size": "1763",
"license": "mit",
"hash": 1787199983144896000,
"line_mean": 28.3833333333,
"line_max": 76,
"alpha_frac": 0.4764605786,
"autogenerated": false,
"ratio": 3.711578947368421,
"config_test... |
"""
A pure python (slow) implementation of rijndael with a decent interface
To include -
from rijndael import rijndael
To do a key setup -
r = rijndael(key, block_size = 16)
key must be a string of length 16, 24, or 32
blocksize must be 16, 24, or 32. Default is 16
To use -
ciphertext = r.encrypt(plaintext)
pla... | {
"repo_name": "ptphp/PyLib",
"path": "src/devs/trevp-tlslite-cac0c81/tlslite/utils/rijndael.py",
"copies": "1",
"size": "11436",
"license": "apache-2.0",
"hash": 7746822693350656000,
"line_mean": 27.6616541353,
"line_max": 116,
"alpha_frac": 0.4407135362,
"autogenerated": false,
"ratio": 2.832095... |
__authors__ = ""
__copyright__ = "(c) 2014, pymal"
__license__ = "BSD License"
__contact__ = "Name Of Current Guardian of this file <email@address>"
from pymal import exceptions
class Recommendation(object):
"""
Recommendation holds all the data from a recommendation in MAL about an anime.
:ivar recomme... | {
"repo_name": "pymal-developers/pymal",
"path": "pymal/inner_objects/recommendation.py",
"copies": "1",
"size": "1744",
"license": "bsd-3-clause",
"hash": -2653896435713930000,
"line_mean": 35.3333333333,
"line_max": 98,
"alpha_frac": 0.6003440367,
"autogenerated": false,
"ratio": 3.6485355648535... |
__authors__ = ""
__copyright__ = "(c) 2014, pymal"
__license__ = "BSD License"
__contact__ = "Name Of Current Guardian of this file <email@address>"
from pymal.searches import search_accounts_provider, search_animes_provider, search_mangas_provider
__all__ = ['search_animes', 'search_mangas', 'search_accounts']
__Se... | {
"repo_name": "pymal-developers/pymal",
"path": "pymal/searches/__init__.py",
"copies": "1",
"size": "1319",
"license": "bsd-3-clause",
"hash": -2683639054688038400,
"line_mean": 30.4047619048,
"line_max": 99,
"alpha_frac": 0.6944655042,
"autogenerated": false,
"ratio": 3.4986737400530505,
"con... |
__authors__ = ""
__copyright__ = "(c) 2014, pymal"
__license__ = "BSD License"
__contact__ = "Name Of Current Guardian of this file <email@address>"
from singleton3 import Singleton
from pymal import decorators
__all__ = ['Seasons']
class Seasons(object, metaclass=Singleton):
"""
Lazy making of Season from... | {
"repo_name": "pymal-developers/pymal",
"path": "pymal/seasons.py",
"copies": "1",
"size": "1670",
"license": "bsd-3-clause",
"hash": 7819417307473295000,
"line_mean": 25.5079365079,
"line_max": 79,
"alpha_frac": 0.5832335329,
"autogenerated": false,
"ratio": 3.7276785714285716,
"config_test": ... |
__authors__ = ""
__copyright__ = "(c) 2014, pymal"
__license__ = "BSD License"
__contact__ = "Name Of Current Guardian of this file <email@address>"
from urllib import parse
import bs4
from singleton3 import Singleton
from pymal import global_functions, consts
class SearchProvider(object, metaclass=Singleton):
... | {
"repo_name": "pymal-developers/pymal",
"path": "pymal/searches/search_provider.py",
"copies": "1",
"size": "2246",
"license": "bsd-3-clause",
"hash": 1575166788042170000,
"line_mean": 31.0857142857,
"line_max": 106,
"alpha_frac": 0.6006233304,
"autogenerated": false,
"ratio": 3.6225806451612903,... |
__authors__ = ""
__copyright__ = "(c) 2014, pymal"
__license__ = "BSD License"
__contact__ = "Name Of Current Guardian of this file <email@address>"
from urllib import request
import time
import requests
try:
import httpcache
except ImportError:
httpcache = None
import bs4
from pymal import consts
from pymal... | {
"repo_name": "pymal-developers/pymal",
"path": "pymal/global_functions.py",
"copies": "1",
"size": "6560",
"license": "bsd-3-clause",
"hash": 2645962431721189000,
"line_mean": 30.2380952381,
"line_max": 104,
"alpha_frac": 0.61875,
"autogenerated": false,
"ratio": 3.4345549738219896,
"config_te... |
__authors__ = ""
__copyright__ = "(c) 2014, pymal"
__license__ = "BSD License"
__contact__ = "Name Of Current Guardian of this file <email@address>"
from urllib import request
import time
import singleton_factory
from pymal import consts
from pymal import decorators
from pymal import exceptions
__all__ = ['MyAnime'... | {
"repo_name": "pymal-developers/pymal",
"path": "pymal/account_objects/my_anime.py",
"copies": "1",
"size": "24204",
"license": "bsd-3-clause",
"hash": -9057858066777561000,
"line_mean": 33.283286119,
"line_max": 103,
"alpha_frac": 0.5794496777,
"autogenerated": false,
"ratio": 3.8370323398858592... |
__authors__ = ""
__copyright__ = "(c) 2014, pymal"
__license__ = "BSD License"
__contact__ = "Name Of Current Guardian of this file <email@address>"
from urllib import request
from pymal.consts import HOST_NAME
from pymal import decorators
from pymal.types import ReloadedSet
__all__ = ['AccountAnimes']
class Accou... | {
"repo_name": "pymal-developers/pymal",
"path": "pymal/account_objects/account_animes.py",
"copies": "1",
"size": "5077",
"license": "bsd-3-clause",
"hash": -4842389326597850000,
"line_mean": 28.0114285714,
"line_max": 80,
"alpha_frac": 0.5530825291,
"autogenerated": false,
"ratio": 3.78880597014... |
__authors__ = ""
__copyright__ = "(c) 2014, pymal"
__license__ = "BSD License"
__contact__ = "Name Of Current Guardian of this file <email@address>"
from urllib import request
import requests
import bs4
import singleton_factory
from pymal import decorators
from pymal import consts
from pymal import global_functions
... | {
"repo_name": "pymal-developers/pymal",
"path": "pymal/anime.py",
"copies": "1",
"size": "22669",
"license": "bsd-3-clause",
"hash": -1385642112010181600,
"line_mean": 34.0913312693,
"line_max": 122,
"alpha_frac": 0.6035996294,
"autogenerated": false,
"ratio": 3.7568776930725885,
"config_test":... |
__authors__ = ""
__copyright__ = "(c) 2014, pymal"
__license__ = "BSD License"
__contact__ = "Name Of Current Guardian of this file <email@address>"
import collections
import singleton_factory
class ReloadedSet(collections.Set):
"""
A reloaded set - like frozenset but can fetch new data in the function relo... | {
"repo_name": "pymal-developers/pymal",
"path": "pymal/types/ReloadedSet.py",
"copies": "1",
"size": "2784",
"license": "bsd-3-clause",
"hash": -9204115151907167000,
"line_mean": 26.3039215686,
"line_max": 93,
"alpha_frac": 0.621408046,
"autogenerated": false,
"ratio": 3.994261119081779,
"confi... |
__authors__ = ""
__copyright__ = "(c) 2014, pymal"
__license__ = "BSD License"
__contact__ = "Name Of Current Guardian of this file <email@address>"
import singleton_factory
from pymal import consts
from pymal import decorators
__all__ = ['Season']
class Season(object, metaclass=singleton_factory.SingletonFactory)... | {
"repo_name": "pymal-developers/pymal",
"path": "pymal/inner_objects/season.py",
"copies": "1",
"size": "3068",
"license": "bsd-3-clause",
"hash": -174465875498401500,
"line_mean": 29.9898989899,
"line_max": 92,
"alpha_frac": 0.5759452412,
"autogenerated": false,
"ratio": 3.4705882352941178,
"c... |
__authors__ = ""
__copyright__ = "(c) 2014, pymal"
__license__ = "BSD License"
__contact__ = "Name Of Current Guardian of this file <email@address>"
class Review(object):
"""
Review holds all the data from a review in MAL about an anime.
:ivar date: :class:`string`
:ivar account: :class:`account.Acco... | {
"repo_name": "pymal-developers/pymal",
"path": "pymal/inner_objects/review.py",
"copies": "1",
"size": "1763",
"license": "bsd-3-clause",
"hash": -686710097803958000,
"line_mean": 31.6481481481,
"line_max": 122,
"alpha_frac": 0.5853658537,
"autogenerated": false,
"ratio": 3.443359375,
"config_... |
__authors__ = ""
__copyright__ = "(c) 2014, pymal"
__license__ = "BSD License"
__contact__ = "Name Of Current Guardian of this file <email@address>"
from pymal import global_functions
from pymal.types import ReloadedSet
from pymal.decorators import load
from pymal import exceptions
class AccountFriends(ReloadedSet.... | {
"repo_name": "pymal-developers/pymal",
"path": "pymal/account_objects/account_friends.py",
"copies": "1",
"size": "2361",
"license": "bsd-3-clause",
"hash": -3554661422501591600,
"line_mean": 26.1494252874,
"line_max": 96,
"alpha_frac": 0.6035578145,
"autogenerated": false,
"ratio": 3.9481605351... |
from __future__ import division
from warnings import warn
import numpy as np
from scipy.sparse import issparse
from .bagging import BaseBagging
from ..externals import six
from ..tree import ExtraTreeRegressor
from ..utils import check_random_state, check_array
__all__ = ["IsolationForest"]
class IsolationForest... | {
"repo_name": "DailyActie/Surrogate-Model",
"path": "01-codes/scikit-learn-master/sklearn/ensemble/iforest.py",
"copies": "1",
"size": "10699",
"license": "mit",
"hash": 1000340236698279800,
"line_mean": 37.0747330961,
"line_max": 86,
"alpha_frac": 0.6053836807,
"autogenerated": false,
"ratio": 4... |
from __future__ import division
import numbers
import numpy as np
from warnings import warn
from scipy.sparse import issparse
from ..externals import six
from ..externals.joblib import Parallel, delayed
from ..tree import ExtraTreeRegressor
from ..utils import check_random_state, check_array
from .bagging import B... | {
"repo_name": "DSLituiev/scikit-learn",
"path": "sklearn/ensemble/iforest.py",
"copies": "12",
"size": "10867",
"license": "bsd-3-clause",
"hash": -8004683486625812000,
"line_mean": 36.8641114983,
"line_max": 86,
"alpha_frac": 0.6076193982,
"autogenerated": false,
"ratio": 4.166794478527607,
"c... |
from __future__ import division
import numbers
import numpy as np
from warnings import warn
from scipy.sparse import issparse
from ..externals.joblib import Parallel, delayed
from ..tree import ExtraTreeRegressor
from ..utils import check_random_state, check_array
from .bagging import BaseBagging
from .forest impo... | {
"repo_name": "jmschrei/scikit-learn",
"path": "sklearn/ensemble/iforest.py",
"copies": "4",
"size": "10137",
"license": "bsd-3-clause",
"hash": -7543164499666517000,
"line_mean": 36.1318681319,
"line_max": 81,
"alpha_frac": 0.6187234882,
"autogenerated": false,
"ratio": 4.137551020408163,
"con... |
from __future__ import division
import numpy as np
import scipy as sp
from warnings import warn
from sklearn.utils.fixes import euler_gamma
from scipy.sparse import issparse
import numbers
from ..externals import six
from ..tree import ExtraTreeRegressor
from ..utils import check_random_state, check_array
from .ba... | {
"repo_name": "ryfeus/lambda-packs",
"path": "LightGBM_sklearn_scipy_numpy/source/sklearn/ensemble/iforest.py",
"copies": "15",
"size": "12336",
"license": "mit",
"hash": 5385012563518237000,
"line_mean": 36.9569230769,
"line_max": 86,
"alpha_frac": 0.6016536965,
"autogenerated": false,
"ratio": ... |
from __future__ import division
import numpy as np
import scipy as sp
from warnings import warn
from scipy.sparse import issparse
import numbers
from ..externals import six
from ..tree import ExtraTreeRegressor
from ..utils import check_random_state, check_array
from .bagging import BaseBagging
__all__ = ["Isolat... | {
"repo_name": "sonnyhu/scikit-learn",
"path": "sklearn/ensemble/iforest.py",
"copies": "8",
"size": "11878",
"license": "bsd-3-clause",
"hash": 3678428596449619500,
"line_mean": 37.6905537459,
"line_max": 86,
"alpha_frac": 0.6078464388,
"autogenerated": false,
"ratio": 4.124305555555556,
"confi... |
from __future__ import division
import numpy as np
import scipy as sp
import warnings
from warnings import warn
from sklearn.utils.fixes import euler_gamma
from scipy.sparse import issparse
import numbers
from ..externals import six
from ..tree import ExtraTreeRegressor
from ..utils import check_random_state, check... | {
"repo_name": "BiaDarkia/scikit-learn",
"path": "sklearn/ensemble/iforest.py",
"copies": "2",
"size": "15758",
"license": "bsd-3-clause",
"hash": -6108416861768834000,
"line_mean": 38.2967581047,
"line_max": 79,
"alpha_frac": 0.601853027,
"autogenerated": false,
"ratio": 4.263528138528138,
"con... |
from __future__ import division
import numpy as np
import warnings
from warnings import warn
from sklearn.utils.fixes import euler_gamma
from scipy.sparse import issparse
import numbers
from ..externals import six
from ..tree import ExtraTreeRegressor
from ..utils import check_random_state, check_array
from ..utils... | {
"repo_name": "vortex-ape/scikit-learn",
"path": "sklearn/ensemble/iforest.py",
"copies": "2",
"size": "18343",
"license": "bsd-3-clause",
"hash": 7154112928716538000,
"line_mean": 39.0502183406,
"line_max": 79,
"alpha_frac": 0.5973941013,
"autogenerated": false,
"ratio": 4.340511121628017,
"co... |
from math import sqrt
import numpy as np
from scipy.stats import scoreatpercentile
from .base import NeighborsBase
from .base import KNeighborsMixin
from .base import UnsupervisedMixin
from ..metrics import pairwise_distances
from ..exceptions import NotFittedError
from ..utils.validation import check_is_fitted
fro... | {
"repo_name": "ngoix/OCRF",
"path": "sklearn/neighbors/lof.py",
"copies": "1",
"size": "13058",
"license": "bsd-3-clause",
"hash": 496628498310940700,
"line_mean": 39.80625,
"line_max": 92,
"alpha_frac": 0.6173992955,
"autogenerated": false,
"ratio": 4.0389730900092795,
"config_test": false,
... |
from math import sqrt
import numpy as np
from sklearn import neighbors
import re
import pytest
from numpy.testing import assert_array_equal
from sklearn import metrics
from sklearn.metrics import roc_auc_score
from sklearn.utils import check_random_state
from sklearn.utils._testing import assert_array_almost_equal
... | {
"repo_name": "kevin-intel/scikit-learn",
"path": "sklearn/neighbors/tests/test_lof.py",
"copies": "3",
"size": "8359",
"license": "bsd-3-clause",
"hash": 183056111824649820,
"line_mean": 35.0301724138,
"line_max": 79,
"alpha_frac": 0.6408661323,
"autogenerated": false,
"ratio": 3.243694218083042... |
import numbers
import numpy as np
from scipy.sparse import issparse
from warnings import warn
from ..tree import ExtraTreeRegressor
from ..utils import (
check_random_state,
check_array,
gen_batches,
get_chunk_n_rows,
)
from ..utils.fixes import _joblib_parallel_args
from ..utils.validation import che... | {
"repo_name": "kevin-intel/scikit-learn",
"path": "sklearn/ensemble/_iforest.py",
"copies": "2",
"size": "18971",
"license": "bsd-3-clause",
"hash": 747424344581364700,
"line_mean": 36.2711198428,
"line_max": 79,
"alpha_frac": 0.6046597438,
"autogenerated": false,
"ratio": 4.222345871355442,
"c... |
import numpy as np
from warnings import warn
from scipy.stats import scoreatpercentile
from .base import NeighborsBase
from .base import KNeighborsMixin
from .base import UnsupervisedMixin
from ..utils.validation import check_is_fitted
from ..utils import check_array
__all__ = ["LocalOutlierFactor"]
class LocalOu... | {
"repo_name": "mbayon/TFG-MachineLearning",
"path": "venv/lib/python3.6/site-packages/sklearn/neighbors/lof.py",
"copies": "3",
"size": "12184",
"license": "mit",
"hash": -9192126591296257000,
"line_mean": 39.8859060403,
"line_max": 79,
"alpha_frac": 0.6201575837,
"autogenerated": false,
"ratio":... |
import numpy as np
import warnings
from scipy.stats import scoreatpercentile
from .base import NeighborsBase
from .base import KNeighborsMixin
from .base import UnsupervisedMixin
from ..base import OutlierMixin
from ..utils.validation import check_is_fitted
from ..utils import check_array
__all__ = ["LocalOutlierFa... | {
"repo_name": "BiaDarkia/scikit-learn",
"path": "sklearn/neighbors/lof.py",
"copies": "8",
"size": "14819",
"license": "bsd-3-clause",
"hash": -8966246378821916000,
"line_mean": 41.0994318182,
"line_max": 79,
"alpha_frac": 0.6179229368,
"autogenerated": false,
"ratio": 4.147495102155052,
"confi... |
import numpy as np
import warnings
from ._base import NeighborsBase
from ._base import KNeighborsMixin
from ..base import OutlierMixin
from ..utils.validation import check_is_fitted
from ..utils import check_array
__all__ = ["LocalOutlierFactor"]
class LocalOutlierFactor(KNeighborsMixin,
... | {
"repo_name": "kevin-intel/scikit-learn",
"path": "sklearn/neighbors/_lof.py",
"copies": "2",
"size": "21139",
"license": "bsd-3-clause",
"hash": -4744353503849211000,
"line_mean": 38.9603024575,
"line_max": 79,
"alpha_frac": 0.6138890203,
"autogenerated": false,
"ratio": 4.240521564694082,
"co... |
import numpy as np
import warnings
from ._base import NeighborsBase
from ._base import KNeighborsMixin
from ..base import OutlierMixin
from ..utils.validation import check_is_fitted
from ..utils.validation import _deprecate_positional_args
from ..utils import check_array
__all__ = ["LocalOutlierFactor"]
class Loc... | {
"repo_name": "anntzer/scikit-learn",
"path": "sklearn/neighbors/_lof.py",
"copies": "2",
"size": "21119",
"license": "bsd-3-clause",
"hash": 5187338023397807000,
"line_mean": 39.1501901141,
"line_max": 79,
"alpha_frac": 0.6148965387,
"autogenerated": false,
"ratio": 4.242466854158296,
"config_... |
import numpy as np
import warnings
from .base import NeighborsBase
from .base import KNeighborsMixin
from .base import UnsupervisedMixin
from ..base import OutlierMixin
from ..utils.validation import check_is_fitted
from ..utils import check_array
__all__ = ["LocalOutlierFactor"]
class LocalOutlierFactor(Neighbor... | {
"repo_name": "vortex-ape/scikit-learn",
"path": "sklearn/neighbors/lof.py",
"copies": "2",
"size": "20765",
"license": "bsd-3-clause",
"hash": -73014703484156930,
"line_mean": 40.2003968254,
"line_max": 81,
"alpha_frac": 0.613821334,
"autogenerated": false,
"ratio": 4.2516380016380015,
"config... |
import numpy as np
import warnings
from ._base import NeighborsBase
from ._base import KNeighborsMixin
from ._base import UnsupervisedMixin
from ..base import OutlierMixin
from ..utils.validation import check_is_fitted
from ..utils.validation import _deprecate_positional_args
from ..utils import check_array
__all__... | {
"repo_name": "huzq/scikit-learn",
"path": "sklearn/neighbors/_lof.py",
"copies": "1",
"size": "21184",
"license": "bsd-3-clause",
"hash": 6190394114389014000,
"line_mean": 39.2737642586,
"line_max": 79,
"alpha_frac": 0.615842145,
"autogenerated": false,
"ratio": 4.226656025538707,
"config_test... |
import numbers
import numpy as np
from scipy.sparse import issparse
from warnings import warn
from ..tree import ExtraTreeRegressor
from ..utils import (
check_random_state,
check_array,
gen_batches,
get_chunk_n_rows,
)
from ..utils.fixes import _joblib_parallel_args
from ..utils.validation import ch... | {
"repo_name": "chrsrds/scikit-learn",
"path": "sklearn/ensemble/iforest.py",
"copies": "2",
"size": "18270",
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"hash": -8198264053683082000,
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"line_max": 80,
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"autogenerated": false,
"ratio": 4.258741258741258,
"conf... |
from __future__ import division
import numbers
import numpy as np
from warnings import warn
from scipy.sparse import issparse
from ..externals import six
from ..tree import ExtraTreeClassifier
from ..utils import check_array, timeout, max_time, TimeoutError
from .bagging import BaseBagging
from ..metrics import roc... | {
"repo_name": "ngoix/OCRF",
"path": "sklearn/ensemble/oneclassforest.py",
"copies": "1",
"size": "15928",
"license": "bsd-3-clause",
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"line_max": 91,
"alpha_frac": 0.5674912104,
"autogenerated": false,
"ratio": 4.064302117887216,
"config_tes... |
import numpy as np
from .mldata import fetch_mldata
from .fetch_ml_mieux import fetch_spambase, fetch_annthyroid, fetch_arrhythmia
from .fetch_ml_mieux import fetch_pendigits, fetch_pima, fetch_wilt
from .fetch_ml_mieux import fetch_internet_ads, fetch_adult
from .kddcup99 import fetch_kddcup99
from .covtype import f... | {
"repo_name": "ngoix/OCRF",
"path": "sklearn/datasets/one_class_data.py",
"copies": "1",
"size": "6375",
"license": "bsd-3-clause",
"hash": 4179249547612454000,
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"line_max": 78,
"alpha_frac": 0.5283137255,
"autogenerated": false,
"ratio": 3.3517350157728707,
"config_t... |
import numpy as np
from bangmetric.kernel_analysis import kanalysis, kanalysis_K
EPSILON = 1e-6
QUANTILES = [0.1, 0.5, 0.9]
def test_smoke_size():
rng = np.random.RandomState(42)
X = rng.randn(10, 4)
Y = rng.randn(*X.shape)
gv = kanalysis(X, Y)
assert gv.size == len(X) + 1
def test_simple1d(... | {
"repo_name": "npinto/bangmetric",
"path": "bangmetric/tests/test_kernel_analysis.py",
"copies": "1",
"size": "3370",
"license": "bsd-3-clause",
"hash": -2182574150895124500,
"line_mean": 28.8230088496,
"line_max": 80,
"alpha_frac": 0.6071216617,
"autogenerated": false,
"ratio": 2.419239052404881... |
import numpy as np
from sklearn.preprocessing import LabelBinarizer
from bangmetric.rls_looe import rls_looe
EPSILON = 1e-6
def test_smoke_val_and_size():
rng = np.random.RandomState(42)
X = rng.randn(10, 4)
Y = rng.randn(*X.shape)
looe = rls_looe(X, Y, l2_regularizations=[0.1, 1, 10])
assert... | {
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"path": "bangmetric/tests/test_rls_looe.py",
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"hash": 2824939489032428500,
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"line_max": 63,
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"autogenerated": false,
"ratio": 2.8048780487804876,
"co... |
__all__ = ['resample']
import numpy as np
from scipy import ndimage as ndi
from _resample import _resample_float32
def resample(arr_in, out_shape, order=0, intp2d=False):
"""Resample a 3-dimensional array to the desired shape.
Parameters
----------
arr_in: ndarray, shape = [height, width, depth]
... | {
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"path": "sthor/operation/resample.py",
"copies": "1",
"size": "4380",
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"autogenerated": false,
"ratio": 3.734015345268542,
"config_te... |
import warnings
import math
import numpy as np
import numpy.ma as ma
from scipy import sparse
from scipy import stats
from ..base import BaseEstimator, TransformerMixin
from ..utils import array2d
from ..utils import atleast2d_or_csr
from ..utils import atleast2d_or_csc
from ..utils import as_float_array
from ..util... | {
"repo_name": "treycausey/scikit-learn",
"path": "sklearn/preprocessing/imputation.py",
"copies": "2",
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"hash": 2567187526863377000,
"line_mean": 36.2784810127,
"line_max": 79,
"alpha_frac": 0.5384719864,
"autogenerated": false,
"ratio": 4.15960451977401... |
import warnings
import numpy as np
import numpy.ma as ma
from scipy import sparse
from scipy import stats
from ..base import BaseEstimator, TransformerMixin
from ..externals import six
from ..utils import check_array
from ..utils.fixes import astype
from ..utils.sparsefuncs import _get_median
from ..utils.validation... | {
"repo_name": "DailyActie/Surrogate-Model",
"path": "01-codes/scikit-learn-master/sklearn/preprocessing/imputation.py",
"copies": "1",
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"hash": 863312393835633000,
"line_mean": 36.6506666667,
"line_max": 79,
"alpha_frac": 0.5319073589,
"autogenerated": false,
"ra... |
import warnings
import numpy as np
import numpy.ma as ma
from scipy import sparse
from scipy import stats
from ..base import BaseEstimator, TransformerMixin
from ..utils import array2d
from ..utils import atleast2d_or_csr
from ..utils import atleast2d_or_csc
from ..utils import as_float_array
from ..utils.fixes impo... | {
"repo_name": "chaluemwut/fbserver",
"path": "venv/lib/python2.7/site-packages/sklearn/preprocessing/imputation.py",
"copies": "2",
"size": "14686",
"license": "apache-2.0",
"hash": 2718393983501730000,
"line_mean": 35.9924433249,
"line_max": 79,
"alpha_frac": 0.5392210268,
"autogenerated": false,
... |
import warnings
import numpy as np
import numpy.ma as ma
from scipy import sparse
from scipy import stats
from ..base import BaseEstimator, TransformerMixin
from ..utils import check_array
from ..utils.fixes import astype
from ..utils.sparsefuncs import _get_median
from ..utils.validation import check_is_fitted
from... | {
"repo_name": "marcsans/cnn-physics-perception",
"path": "phy/lib/python2.7/site-packages/sklearn/preprocessing/imputation.py",
"copies": "46",
"size": "14294",
"license": "mit",
"hash": 2399216333487439000,
"line_mean": 36.9151193634,
"line_max": 79,
"alpha_frac": 0.5314817406,
"autogenerated": fa... |
import warnings
import numpy as np
import numpy.ma as ma
from scipy import sparse
from scipy import stats
from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.utils import check_array
from sklearn.utils import as_float_array
from sklearn.utils.fixes import astype
from sklearn.utils.sparsefuncs impor... | {
"repo_name": "automl/paramsklearn",
"path": "ParamSklearn/implementations/Imputation.py",
"copies": "2",
"size": "14410",
"license": "bsd-3-clause",
"hash": -5552330066218315000,
"line_mean": 36.8215223097,
"line_max": 79,
"alpha_frac": 0.534351145,
"autogenerated": false,
"ratio": 4.27342823250... |
from __future__ import division
import warnings
import numbers
import numpy as np
import numpy.ma as ma
from scipy import sparse
from scipy import stats
from ..base import BaseEstimator, TransformerMixin
from ..utils.sparsefuncs import _get_median
from ..utils.validation import check_is_fitted
from ..utils.validati... | {
"repo_name": "chrsrds/scikit-learn",
"path": "sklearn/impute/_base.py",
"copies": "2",
"size": "25882",
"license": "bsd-3-clause",
"hash": 664167741906853900,
"line_mean": 37.4005934718,
"line_max": 79,
"alpha_frac": 0.5546712001,
"autogenerated": false,
"ratio": 4.324477861319966,
"config_tes... |
import numbers
import warnings
from collections import Counter
import numpy as np
import numpy.ma as ma
from scipy import sparse as sp
from scipy import stats
from ..base import BaseEstimator, TransformerMixin
from ..utils.sparsefuncs import _get_median
from ..utils.validation import check_is_fitted
from ..utils.val... | {
"repo_name": "kevin-intel/scikit-learn",
"path": "sklearn/impute/_base.py",
"copies": "2",
"size": "32946",
"license": "bsd-3-clause",
"hash": 1939547547607645400,
"line_mean": 37.2648083624,
"line_max": 79,
"alpha_frac": 0.5560310812,
"autogenerated": false,
"ratio": 4.374717832957111,
"confi... |
import numbers
import warnings
import numpy as np
import numpy.ma as ma
from scipy import sparse
from scipy import stats
from ..base import BaseEstimator, TransformerMixin
from ..utils.sparsefuncs import _get_median
from ..utils.validation import check_is_fitted
from ..utils.validation import FLOAT_DTYPES
from ..uti... | {
"repo_name": "bnaul/scikit-learn",
"path": "sklearn/impute/_base.py",
"copies": "3",
"size": "30965",
"license": "bsd-3-clause",
"hash": 165604930948088060,
"line_mean": 37.70625,
"line_max": 79,
"alpha_frac": 0.5574358146,
"autogenerated": false,
"ratio": 4.3569719994371745,
"config_test": fa... |
"""
Tests for numerical integration.
"""
from __future__ import division, print_function, absolute_import
import numpy as np
from numpy import (arange, zeros, array, dot, sqrt, cos, sin, eye, pi, exp,
allclose)
from numpy.testing import (
assert_, assert_array_almost_equal,
assert_allclose,... | {
"repo_name": "arokem/scipy",
"path": "scipy/integrate/tests/test_integrate.py",
"copies": "1",
"size": "24441",
"license": "bsd-3-clause",
"hash": -1938441330015227000,
"line_mean": 28.3762019231,
"line_max": 79,
"alpha_frac": 0.5158545068,
"autogenerated": false,
"ratio": 3.0793750787451177,
... |
"""
Tests for numerical integration.
"""
from __future__ import division, print_function, absolute_import
import numpy
from numpy import arange, zeros, array, dot, sqrt, cos, sin, eye, pi, exp, \
allclose
from scipy.lib.six import xrange
from numpy.testing import assert_, TestCase, run_module_suite... | {
"repo_name": "juliantaylor/scipy",
"path": "scipy/integrate/tests/test_integrate.py",
"copies": "1",
"size": "15404",
"license": "bsd-3-clause",
"hash": 1369948386650723300,
"line_mean": 27.8464419476,
"line_max": 79,
"alpha_frac": 0.5196702155,
"autogenerated": false,
"ratio": 3.276749627738779... |
"""xmlrpcserver.py - simple XML RPC server supporting TLS"""
try:
from SimpleXMLRPCServer import SimpleXMLRPCServer, SimpleXMLRPCRequestHandler
except ImportError:
# Python 3
from xmlrpc.server import SimpleXMLRPCServer, SimpleXMLRPCRequestHandler
from .tlssocketservermixin import TLSSocketServerMixIn
cl... | {
"repo_name": "markYoungH/chromium.src",
"path": "third_party/tlslite/tlslite/integration/xmlrpcserver.py",
"copies": "114",
"size": "1874",
"license": "bsd-3-clause",
"hash": -3492899820968886300,
"line_mean": 33.0727272727,
"line_max": 81,
"alpha_frac": 0.6659551761,
"autogenerated": false,
"ra... |
from __future__ import print_function # support for Pyhon 2.7 - comment out if you use python>2.7.
from matplotlib import pyplot as plt
import numpy as np
# read file without the newline characters
line = [line.rstrip('\n') for line in open('nmea_ublox_neo_24h_static.txt', 'r')]
hDOP = []
timeArray = []
for item i... | {
"repo_name": "carentsen/RMUAST",
"path": "rmuast_s17_module_1/exercise_nmea_data/Data_parse_static.py",
"copies": "1",
"size": "1658",
"license": "bsd-3-clause",
"hash": -4937763081822746000,
"line_mean": 35.8444444444,
"line_max": 167,
"alpha_frac": 0.5856453559,
"autogenerated": false,
"ratio"... |
from __future__ import division
import warnings
import numpy as np
import numpy.linalg as la
from scipy import sparse
from distutils.version import LooseVersion
from sklearn.utils import gen_batches
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import clean_warning_registry
from sk... | {
"repo_name": "clemkoa/scikit-learn",
"path": "sklearn/preprocessing/tests/test_data.py",
"copies": "7",
"size": "75847",
"license": "bsd-3-clause",
"hash": -7819984685276474000,
"line_mean": 37.190835851,
"line_max": 79,
"alpha_frac": 0.603161628,
"autogenerated": false,
"ratio": 3.2190391308038... |
from __future__ import division
import warnings
import re
import numpy as np
import numpy.linalg as la
from scipy import sparse, stats
from distutils.version import LooseVersion
import pytest
from sklearn.utils import gen_batches
from sklearn.utils.testing import assert_raise_message
from sklearn.utils.testing impo... | {
"repo_name": "BiaDarkia/scikit-learn",
"path": "sklearn/preprocessing/tests/test_data.py",
"copies": "1",
"size": "90508",
"license": "bsd-3-clause",
"hash": 7270587857597382000,
"line_mean": 36.8377926421,
"line_max": 79,
"alpha_frac": 0.6016042781,
"autogenerated": false,
"ratio": 3.2503052503... |
import warnings
import itertools
import numpy as np
import numpy.linalg as la
from scipy import sparse, stats
from scipy.sparse import random as sparse_random
import pytest
from sklearn.utils import gen_batches
from sklearn.utils._testing import assert_almost_equal
from sklearn.utils._testing import assert_array_a... | {
"repo_name": "ndingwall/scikit-learn",
"path": "sklearn/preprocessing/tests/test_data.py",
"copies": "2",
"size": "99959",
"license": "bsd-3-clause",
"hash": 5034595945970851000,
"line_mean": 36.6777233321,
"line_max": 79,
"alpha_frac": 0.6029372043,
"autogenerated": false,
"ratio": 3.2817558028... |
"""Exception classes.
@sort: TLSError, TLSAbruptCloseError, TLSAlert, TLSLocalAlert, TLSRemoteAlert,
TLSAuthenticationError, TLSNoAuthenticationError, TLSAuthenticationTypeError,
TLSFingerprintError, TLSAuthorizationError, TLSValidationError, TLSFaultError,
TLSUnsupportedError
"""
import socket
from utils.constants i... | {
"repo_name": "su-vikas/pytlspect",
"path": "errors.py",
"copies": "1",
"size": "6500",
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"autogenerated": false,
"ratio": 4.5264623955431755,
"config_test": false,
"has_no_keyw... |
"""Class representing a TLS session."""
from .utils.compat import *
from .mathtls import *
from .constants import *
class Session(object):
"""
This class represents a TLS session.
TLS distinguishes between connections and sessions. A new
handshake creates both a connection and a session. Data is
... | {
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"path": "third_party/tlslite/tlslite/session.py",
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"autogenerated": false,
"ratio": 4.253140096618358,
"... |
"""Class for setting handshake parameters."""
from .constants import CertificateType
from .utils import cryptomath
from .utils import cipherfactory
# RC4 is preferred as faster in Python, works in SSL3, and immune to CBC
# issues such as timing attacks
CIPHER_NAMES = ["rc4", "aes256", "aes128", "3des"]
MAC_NAMES = [... | {
"repo_name": "smartdj/chrome-sync-server",
"path": "tlslite/handshakesettings.py",
"copies": "11",
"size": "7286",
"license": "mit",
"hash": -4137685206931268000,
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"line_max": 80,
"alpha_frac": 0.6631896788,
"autogenerated": false,
"ratio": 4.012114537444934,
"config... |
"""Class for setting handshake parameters."""
from .constants import CertificateType
from .utils import cryptomath
from .utils import cipherfactory
CIPHER_NAMES = ["aes128gcm", "rc4", "aes256", "aes128", "3des"]
MAC_NAMES = ["sha", "sha256", "aead"] # Don't allow "md5" by default.
ALL_MAC_NAMES = MAC_NAMES + ["md5"]... | {
"repo_name": "SaschaMester/delicium",
"path": "third_party/tlslite/tlslite/handshakesettings.py",
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"hash": 7470457966756841000,
"line_mean": 39.320754717,
"line_max": 89,
"alpha_frac": 0.6695133365,
"autogenerated": false,
"ratio": 3.9702... |
"""Class for setting handshake parameters."""
from .constants import CertificateType
from .utils import cryptomath
from .utils import cipherfactory
# RC4 is preferred as faster in Python, works in SSL3, and immune to CBC
# issues such as timing attacks
CIPHER_NAMES = ["rc4", "aes256", "aes128", "3des"]
MAC_NAMES = [... | {
"repo_name": "ownport/jira-reports",
"path": "jirareports/vendor/tlslite/handshakesettings.py",
"copies": "2",
"size": "7569",
"license": "mit",
"hash": 7371077716815155000,
"line_mean": 38.421875,
"line_max": 80,
"alpha_frac": 0.6650812525,
"autogenerated": false,
"ratio": 4.011128775834658,
... |
"""
A helper class for using TLS Lite with stdlib clients
(httplib, xmlrpclib, imaplib, poplib).
"""
from tlslite.checker import Checker
class ClientHelper:
"""This is a helper class used to integrate TLS Lite with various
TLS clients (e.g. poplib, smtplib, httplib, etc.)"""
def __init__(self,
... | {
"repo_name": "freshplanet/AppEngine-SocketPool",
"path": "tlslite/integration/clienthelper.py",
"copies": "2",
"size": "4690",
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"hash": -5523039126761333000,
"line_mean": 37.4508196721,
"line_max": 75,
"alpha_frac": 0.6,
"autogenerated": false,
"ratio": 5.293453724604966,... |
"""
A helper class for using TLS Lite with stdlib clients
(httplib, xmlrpclib, imaplib, poplib).
"""
from tlslite.checker import Checker
class ClientHelper(object):
"""This is a helper class used to integrate TLS Lite with various
TLS clients (e.g. poplib, smtplib, httplib, etc.)"""
def __init__(self,
... | {
"repo_name": "Chilledheart/chromium",
"path": "third_party/tlslite/tlslite/integration/clienthelper.py",
"copies": "116",
"size": "4698",
"license": "bsd-3-clause",
"hash": -7865981658296612000,
"line_mean": 37.5163934426,
"line_max": 75,
"alpha_frac": 0.6002554278,
"autogenerated": false,
"rati... |
"""Helper class for TLSConnection."""
from __future__ import generators
from .utils.compat import *
from .utils.cryptomath import *
from .utils.cipherfactory import createAES, createRC4, createTripleDES
from .utils.codec import *
from .errors import *
from .messages import *
from .mathtls import *
from .constants imp... | {
"repo_name": "Omegaphora/external_chromium_org",
"path": "third_party/tlslite/tlslite/tlsrecordlayer.py",
"copies": "44",
"size": "45812",
"license": "bsd-3-clause",
"hash": -1011702144351069200,
"line_mean": 38.459086994,
"line_max": 88,
"alpha_frac": 0.5408626561,
"autogenerated": false,
"rati... |
"""Helper class for TLSConnection."""
from __future__ import generators
from .utils.compat import *
from .utils.cryptomath import *
from .utils.cipherfactory import createAESGCM, createAES, createRC4, \
createTripleDES
from .utils.codec import *
from .errors import *
from .messages import *
from .mathtls import ... | {
"repo_name": "hefen1/chromium",
"path": "third_party/tlslite/tlslite/tlsrecordlayer.py",
"copies": "16",
"size": "50418",
"license": "bsd-3-clause",
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"line_mean": 39.0779014308,
"line_max": 88,
"alpha_frac": 0.5349280019,
"autogenerated": false,
"ratio": 4.90256709451... |
"""
MAIN CLASS FOR TLS LITE (START HERE!).
"""
import socket
from .utils.compat import formatExceptionTrace
from .tlsrecordlayer import TLSRecordLayer
from .session import Session
from .constants import *
from .utils.cryptomath import getRandomBytes
from .errors import *
from .messages import *
from .mathtls import *... | {
"repo_name": "chromium2014/src",
"path": "third_party/tlslite/tlslite/tlsconnection.py",
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"autogenerated": false,
"ratio": 5.03618889416231... |
"""Constants used in various places."""
class CertificateType:
x509 = 0
openpgp = 1
class ClientCertificateType:
# http://www.iana.org/assignments/tls-parameters/tls-parameters.xhtml#tls-parameters-2
rsa_sign = 1
dss_sign = 2
rsa_fixed_dh = 3
dss_fixed_dh = 4
ecdsa_sign = 64
rsa_f... | {
"repo_name": "SlimRoms/android_external_chromium_org",
"path": "third_party/tlslite/tlslite/constants.py",
"copies": "54",
"size": "12092",
"license": "bsd-3-clause",
"hash": -9198328946766269000,
"line_mean": 32.1287671233,
"line_max": 90,
"alpha_frac": 0.6784651009,
"autogenerated": false,
"ra... |
"""Constants used in various places."""
class SSLVersions:
SSLV3 = (3,0)
TLSV10 = (3,1)
TLSV11 = (3,2)
TLSV12 = (3,3)
class CertificateType:
x509 = 0
openpgp = 1
class ClientCertificateType:
rsa_sign = 1
dss_sign = 2
rsa_fixed_dh = 3
dss_fixed_dh = 4
class HandshakeType:
... | {
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"""Constants used in various places."""
class CertificateType:
x509 = 0
openpgp = 1
class ClientCertificateType:
# http://www.iana.org/assignments/tls-parameters/tls-parameters.xhtml#tls-parameters-2
rsa_sign = 1
dss_sign = 2
rsa_fixed_dh = 3
dss_fixed_dh = 4
ecdsa_sign = 64
rsa_f... | {
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"""Constants used in various places."""
class CertificateType:
x509 = 0
openpgp = 1
class ClientCertificateType:
rsa_sign = 1
dss_sign = 2
rsa_fixed_dh = 3
dss_fixed_dh = 4
class HandshakeType:
hello_request = 0
client_hello = 1
server_hello = 2
certificate = 11
server_k... | {
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"path": "jirareports/vendor/tlslite/constants.py",
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"co... |
"""Classes representing TLS messages."""
from .utils.compat import *
from .utils.cryptomath import *
from .errors import *
from .utils.codec import *
from .constants import *
from .x509 import X509
from .x509certchain import X509CertChain
from .utils.tackwrapper import *
class RecordHeader3(object):
def __init__... | {
"repo_name": "mou4e/zirconium",
"path": "third_party/tlslite/tlslite/messages.py",
"copies": "14",
"size": "28083",
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"""Class representing an X.509 certificate."""
from .utils.asn1parser import ASN1Parser
from .utils.cryptomath import *
from .utils.keyfactory import _createPublicRSAKey
from .utils.pem import *
class X509:
"""This class represents an X.509 certificate.
@type bytes: L{bytearray} of unsigned bytes
@ivar... | {
"repo_name": "splunk/splunk-webframework",
"path": "contrib/tlslite/tlslite/x509.py",
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... |
"""Class representing an X.509 certificate."""
from .utils.asn1parser import ASN1Parser
from .utils.cryptomath import *
from .utils.keyfactory import _createPublicRSAKey
class X509:
"""This class represents an X.509 certificate.
@type bytes: L{bytearray} of unsigned bytes
@ivar bytes: The DER-encoded A... | {
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"path": "src/devs/trevp-tlslite-cac0c81/tlslite/x509.py",
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#TODO
# Common names
# Alternative names
# prefix handling
# valid from
# valid until
# key (weak key, debian)
# issuer
# signature algorithm
# extended validation
# revocation information
# revocation status
# Trusted
"""Class representing an X.509 certificate."""
import datetime
from utils.asn1parser import ASN1... | {
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"path": "x509.py",
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"""TLS Lite + httplib."""
import socket
try:
import httplib
except ImportError:
# Python 3
from http import client as httplib
from tlslite.tlsconnection import TLSConnection
from tlslite.integration.clienthelper import ClientHelper
class HTTPTLSConnection(httplib.HTTPConnection, ClientHelper):
"""Th... | {
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"path": "third_party/tlslite/tlslite/integration/httptlsconnection.py",
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"""TLS Lite + httplib."""
import socket
import httplib
from tlslite.tlsconnection import TLSConnection
from tlslite.integration.clienthelper import ClientHelper
class HTTPTLSConnection(httplib.HTTPConnection, ClientHelper):
"""This class extends L{httplib.HTTPConnection} to support TLS."""
def __init__(sel... | {
"repo_name": "freshplanet/AppEngine-SocketPool",
"path": "tlslite/integration/httptlsconnection.py",
"copies": "2",
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"line_mean": 38.2242990654,
"line_max": 78,
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"autogenerated": false,
"ratio": 4.857... |
"""TLS Lite + xmlrpclib."""
try:
import xmlrpclib
import httplib
except ImportError:
# Python 3
from xmlrpc import client as xmlrpclib
from http import client as httplib
from tlslite.integration.httptlsconnection import HTTPTLSConnection
from tlslite.integration.clienthelper import ClientHelper
i... | {
"repo_name": "wuhengzhi/chromium-crosswalk",
"path": "third_party/tlslite/tlslite/integration/xmlrpctransport.py",
"copies": "113",
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"hash": 7140869042671788000,
"line_mean": 38.7669172932,
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"autogenerated": false... |
"""TLS Lite + xmlrpclib."""
import xmlrpclib
import httplib
from tlslite.integration.httptlsconnection import HTTPTLSConnection
from tlslite.integration.clienthelper import ClientHelper
import tlslite.errors
class XMLRPCTransport(xmlrpclib.Transport, ClientHelper):
"""Handles an HTTPS transaction to an XML-RPC... | {
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"path": "contrib/tlslite/tlslite/integration/xmlrpctransport.py",
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"""Base class for SharedKeyDB and VerifierDB."""
try:
import anydbm
except ImportError:
# Python 3
import dbm as anydbm
import threading
class BaseDB(object):
def __init__(self, filename, type):
self.type = type
self.filename = filename
if self.filename:
self.db = ... | {
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"""Class for caching TLS sessions."""
import threading
import time
class SessionCache(object):
"""This class is used by the server to cache TLS sessions.
Caching sessions allows the client to use TLS session resumption
and avoid the expense of a full handshake. To use this class,
simply pass a Sess... | {
"repo_name": "endlessm/chromium-browser",
"path": "third_party/tlslite/tlslite/sessioncache.py",
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"""cryptomath module
This module has basic math/crypto code."""
from __future__ import print_function
import os
import math
import base64
import binascii
from .compat import *
# **************************************************************************
# Load Optional Modules
# ************************************... | {
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"""cryptomath module
This module has basic math/crypto code."""
from __future__ import print_function
import os
import math
import base64
import binascii
from compat import *
# **************************************************************************
# Load Optional Modules
# *************************************... | {
"repo_name": "su-vikas/pytlspect",
"path": "utils/cryptomath.py",
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"config_test": false,
"... |
"""TLS Lite + asyncore."""
import asyncore
from tlslite.tlsconnection import TLSConnection
from .asyncstatemachine import AsyncStateMachine
class TLSAsyncDispatcherMixIn(AsyncStateMachine):
"""This class can be "mixed in" with an
L{asyncore.dispatcher} to add TLS support.
This class essentially sits b... | {
"repo_name": "XiaosongWei/chromium-crosswalk",
"path": "third_party/tlslite/tlslite/integration/tlsasyncdispatchermixin.py",
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"hash": -4517404071391392000,
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"autogenera... |
"""cryptomath module
This module has basic math/crypto code."""
from __future__ import print_function
import os
import math
import base64
import binascii
from .compat import *
# **************************************************************************
# Load Optional Modules
# ************************************... | {
"repo_name": "chromium/chromium",
"path": "third_party/tlslite/tlslite/utils/cryptomath.py",
"copies": "9",
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"autogenerated": false,
"ratio": 3.39943571... |
__author__ = 'socialmoneydev'
from ..connection import Connection
from ..models.envelope import Envelope
from ..coreproapiexception import CoreProApiException
import httplib
import urllib
class Requestor(object):
SDK_USER_AGENT = "CorePro Python SDK v {0}".format("0.0.1")
@staticmethod
def escape(val):
... | {
"repo_name": "socialmoney/corepro-sdk-python",
"path": "corepro/utils/requestor.py",
"copies": "1",
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"hash": 736106535997732200,
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"line_max": 97,
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"autogenerated": false,
"ratio": 4.405563689604685,
"config_... |
__author__ = 'socialmoneydev'
from models.jsonBase import JsonBase
from utils.requestor import Requestor
from models.accountidonly import AccountIdOnly
from accountclose import AccountClose
class Account(JsonBase) :
def __init__(self):
self.requestId = None
self.customerId = None
self.acco... | {
"repo_name": "socialmoney/corepro-sdk-python",
"path": "corepro/account.py",
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"autogenerated": false,
"ratio": 4.269230769230769,
"config_test": fals... |
__author__ = 'socialmoneydev'
from models.jsonBase import JsonBase
from utils.requestor import Requestor
from models.customerbeneficiaryidonly import CustomerBeneficiaryIdOnly
class CustomerBeneficiary(JsonBase):
def __init__(self):
self.requestId = None
self.customerId = None
self.customer... | {
"repo_name": "socialmoney/corepro-sdk-python",
"path": "corepro/customerbeneficiary.py",
"copies": "1",
"size": "2137",
"license": "mit",
"hash": -9151281468465880000,
"line_mean": 44.4680851064,
"line_max": 166,
"alpha_frac": 0.7182966776,
"autogenerated": false,
"ratio": 3.921100917431193,
"... |
__author__ = 'socialmoneydev'
import json
class JsonBase(object):
def isHashedPayload(self):
return False
def __init__(self):
pass
def fromJson(self, jsonString, classDefs):
dct = {}
if jsonString is not None:
dct = json.loads(jsonString)
return self.f... | {
"repo_name": "socialmoney/corepro-sdk-python",
"path": "corepro/models/jsonBase.py",
"copies": "1",
"size": "2082",
"license": "mit",
"hash": -1237659567206939400,
"line_mean": 31.0307692308,
"line_max": 59,
"alpha_frac": 0.3664745437,
"autogenerated": false,
"ratio": 4.72108843537415,
"config... |
__author__ = 'socialmoneydev'
from models.jsonBase import JsonBase
from utils.requestor import Requestor
from datetime import datetime
class Transaction(JsonBase):
def __init__(self):
self.requestId = None
self.transactionCount = None
self.customerId = None
self.transactionId = No... | {
"repo_name": "socialmoney/corepro-sdk-python",
"path": "corepro/transaction.py",
"copies": "1",
"size": "2216",
"license": "mit",
"hash": 4134104739521204000,
"line_mean": 34.7419354839,
"line_max": 249,
"alpha_frac": 0.6159747292,
"autogenerated": false,
"ratio": 4.157598499061914,
"config_te... |
__author__ = 'socialmoneydev'
from models.jsonBase import JsonBase
from utils.requestor import Requestor
from models.externalaccountidonly import ExternalAccountIdOnly
from models.externalaccountverify import ExternalAccountVerify
class ExternalAccount(JsonBase):
def __init__(self):
self.requestId = None... | {
"repo_name": "socialmoney/corepro-sdk-python",
"path": "corepro/externalaccount.py",
"copies": "1",
"size": "3639",
"license": "mit",
"hash": -643812637895072000,
"line_mean": 38.989010989,
"line_max": 163,
"alpha_frac": 0.6927727398,
"autogenerated": false,
"ratio": 4.306508875739645,
"config... |
__author__ = 'socialmoneydev'
from models.jsonBase import JsonBase
from utils.requestor import Requestor
from models.filecontent import FileContent
class BankDocument(JsonBase):
def __init__(self):
self.requestId = None
self.bankId = None
self.customerId = None
self.documentId = N... | {
"repo_name": "socialmoney/corepro-sdk-python",
"path": "corepro/bankdocument.py",
"copies": "1",
"size": "1511",
"license": "mit",
"hash": -1979654770083527400,
"line_mean": 36.775,
"line_max": 177,
"alpha_frac": 0.6783587028,
"autogenerated": false,
"ratio": 4.07277628032345,
"config_test": f... |
__author__ = 'socialmoneydev'
from models.jsonBase import JsonBase
from utils.requestor import Requestor
from models.filecontent import FileContent
class Statement(JsonBase):
def __init__(self):
self.requestId = None
self.statementId = None
self.customerId = None
self.type = None
... | {
"repo_name": "socialmoney/corepro-sdk-python",
"path": "corepro/statement.py",
"copies": "1",
"size": "1040",
"license": "mit",
"hash": -8991031361438857000,
"line_mean": 37.5555555556,
"line_max": 131,
"alpha_frac": 0.7057692308,
"autogenerated": false,
"ratio": 4.279835390946502,
"config_tes... |
__author__ = 'socialmoneydev'
from models.jsonBase import JsonBase
from utils.requestor import Requestor
from models.programlimit import ProgramLimit
from models.programchecking import ProgramChecking
from models.programecode import ProgramECode
from models.programprepaid import ProgramPrepaid
from models.programsavin... | {
"repo_name": "socialmoney/corepro-sdk-python",
"path": "corepro/program.py",
"copies": "1",
"size": "2228",
"license": "mit",
"hash": 8051189054650077000,
"line_mean": 37.4310344828,
"line_max": 82,
"alpha_frac": 0.7203770197,
"autogenerated": false,
"ratio": 4.164485981308411,
"config_test": ... |
__author__ = 'socialmoneydev'
from models.jsonBase import JsonBase
from utils.requestor import Requestor
import base64
class CustomerDocument(JsonBase):
def __init__(self):
self.requestId = None
self.customerId = None
self.documentType = None
self.documentName = None
self.... | {
"repo_name": "socialmoney/corepro-sdk-python",
"path": "corepro/customerdocument.py",
"copies": "1",
"size": "1188",
"license": "mit",
"hash": 8990185333008049000,
"line_mean": 37.3548387097,
"line_max": 133,
"alpha_frac": 0.6952861953,
"autogenerated": false,
"ratio": 4.483018867924528,
"conf... |
__author__ = 'socialmoneydev'
from models.jsonBase import JsonBase
from utils.requestor import Requestor
import base64
class ExternalAccountDocument(JsonBase):
def __init__(self):
self.requestId = None
self.customerId = None
self.externalAccountId = None
self.documentType = None
... | {
"repo_name": "socialmoney/corepro-sdk-python",
"path": "corepro/externalaccountdocument.py",
"copies": "1",
"size": "1323",
"license": "mit",
"hash": -8158107690388637000,
"line_mean": 39.1212121212,
"line_max": 152,
"alpha_frac": 0.7052154195,
"autogenerated": false,
"ratio": 4.439597315436242,... |
__author__ = 'socialmoneydev'
from models.jsonBase import JsonBase
from utils.requestor import Requestor
class Transfer(JsonBase):
def __init__(self):
self.requestId = None
self.customerId = None
self.fromId = None
self.toId = None
self.amount = None
self.tag = Non... | {
"repo_name": "socialmoney/corepro-sdk-python",
"path": "corepro/transfer.py",
"copies": "1",
"size": "1266",
"license": "mit",
"hash": 4560827998494942000,
"line_mean": 31.4871794872,
"line_max": 99,
"alpha_frac": 0.6437598736,
"autogenerated": false,
"ratio": 4.150819672131147,
"config_test":... |
__author__ = 'socialmoneydev'
from utils.requestor import Requestor
from models.jsonBase import JsonBase
from account import Account
from externalaccount import ExternalAccount
from models.customeraddress import CustomerAddress
from models.customerphone import CustomerPhone
from models.customeridonly import CustomerId... | {
"repo_name": "socialmoney/corepro-sdk-python",
"path": "corepro/customer.py",
"copies": "1",
"size": "4173",
"license": "mit",
"hash": 617859120031754800,
"line_mean": 39.9215686275,
"line_max": 152,
"alpha_frac": 0.6832015337,
"autogenerated": false,
"ratio": 4.284394250513347,
"config_test":... |
__author__ = 'socuialmoneydev'
from ConfigParser import SafeConfigParser
import os.path
import base64
class Connection(object):
defaultApiKey = None
defaultApiSecret = None
defaultDomainName = None
defaultProxyServer = None
defaultProxyPort = None
defaultConfigFilePath = os.path.join(os.path.d... | {
"repo_name": "socialmoney/corepro-sdk-python",
"path": "corepro/connection.py",
"copies": "1",
"size": "1986",
"license": "mit",
"hash": -6052296790380695000,
"line_mean": 37.9411764706,
"line_max": 90,
"alpha_frac": 0.6858006042,
"autogenerated": false,
"ratio": 4.326797385620915,
"config_tes... |
__author__ = 'sohammondal'
import sys
import commands
import re
# helper functions
def exec_cmd(cmd):
'''
execute the given command
:param cmd: the command to be execute
:return:
'''
(status, output) = commands.getstatusoutput(cmd)
if status:
print 'Could not execute', cmd, sys.std... | {
"repo_name": "triveous/dbdump",
"path": "dbdump.py",
"copies": "1",
"size": "6643",
"license": "apache-2.0",
"hash": 7892202282105469000,
"line_mean": 24.94921875,
"line_max": 115,
"alpha_frac": 0.5980731597,
"autogenerated": false,
"ratio": 3.9377593360995853,
"config_test": false,
"has_no_... |
__author__ = 'sohammondal'
import sys
import commands
def add_adb_device(devicename=None):
'''
Adds a -s device param to the delete commandline in case the devicename is none
:param devicename: the name/id of the device
:return:
'''
cmd = 'adb '
if devicename:
cmd = cmd + '-s ' + ... | {
"repo_name": "triveous/adbmove",
"path": "adbmove.py",
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"alpha_frac": 0.6015058561,
"autogenerated": false,
"ratio": 3.7510460251046025,
"config_test": false,
"has... |
__author__ = 'sohje'
from fabric.api import task, env, roles, run, settings, sudo
import time
env.roledefs = {
'bb-view': ['192.168.100.11', '192.168.100.12'],
'bb2-w3': [
'192.168.22.101', '192.168.5.102', '192.168.8.103', '192.168.231.104',
'192.168.31.111', '192.168.6.112', '192.168.9.121',... | {
"repo_name": "sohje/Nipsy",
"path": "Nipsy/fabfile.py",
"copies": "1",
"size": "2279",
"license": "mit",
"hash": -4048250131909334500,
"line_mean": 26.4578313253,
"line_max": 97,
"alpha_frac": 0.5537516455,
"autogenerated": false,
"ratio": 2.665497076023392,
"config_test": false,
"has_no_key... |
__author__ = 'sohje'
__version__ = 0.02
import pymongo
from flask import Flask, g
from flask.ext.socketio import SocketIO
from fabric import main as fab_main
import config
from fabfile import env
def connect(host, port):
client = False
try:
client = pymongo.MongoClient(host, port)
except pymongo.e... | {
"repo_name": "sohje/Nipsy",
"path": "Nipsy/__init__.py",
"copies": "1",
"size": "1344",
"license": "mit",
"hash": -3857160736263891500,
"line_mean": 28.8888888889,
"line_max": 85,
"alpha_frac": 0.6837797619,
"autogenerated": false,
"ratio": 3.536842105263158,
"config_test": true,
"has_no_key... |
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