xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

bb55e0398866729adf47fdc4b89975f652a45756

182

py

Python

lesson-01/02/escape_character.py

minimum-hsu/tutorial-python

667692e7cd13a8a4d061a4da530dc2dfe25ac1de

[ "MIT" ]

null

lesson-01/02/escape_character.py

minimum-hsu/tutorial-python

667692e7cd13a8a4d061a4da530dc2dfe25ac1de

[ "MIT" ]

null

lesson-01/02/escape_character.py

minimum-hsu/tutorial-python

667692e7cd13a8a4d061a4da530dc2dfe25ac1de

[ "MIT" ]

null

#!/usr/bin/env python3 ## see ASCII (https://www.asciitable.com) ## new line print('hello\nworld') ## tab print('hello\tpython') ## vertical tab print('hello world', end = '\v')

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182

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247a2c0069f697bd608be9343c9444f8d6242c79

59

py

Python

novel_stego_protocol/genkey.py

tkShir/EC521-Group6-Novel-Steganographic-Scheme

d01ff5b625d5ef85790451fa62e5c33f15f06f0d

[ "0BSD" ]

null

novel_stego_protocol/genkey.py

tkShir/EC521-Group6-Novel-Steganographic-Scheme

d01ff5b625d5ef85790451fa62e5c33f15f06f0d

[ "0BSD" ]

null

novel_stego_protocol/genkey.py

tkShir/EC521-Group6-Novel-Steganographic-Scheme

d01ff5b625d5ef85790451fa62e5c33f15f06f0d

[ "0BSD" ]

null

import os print(os.urandom(32)) # change to secrets.token

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1

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0

1

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5

24afe727999bede39f2d66304d17ea9ead35e0df

40

py

Python

dataset/__init__.py

Fyy10/UESTC-Thesis-DA

6cb16efd1f80aa569c90874a806a62dec8afaec4

[ "MIT" ]

null

dataset/__init__.py

Fyy10/UESTC-Thesis-DA

6cb16efd1f80aa569c90874a806a62dec8afaec4

[ "MIT" ]

null

dataset/__init__.py

Fyy10/UESTC-Thesis-DA

6cb16efd1f80aa569c90874a806a62dec8afaec4

[ "MIT" ]

null

from .DigitFive import DigitFiveDataset

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1

0

1

0

5

24c7bbb62b8639a7681ec6934a9c73a0eea2fec1

92

py

Python

service_2/create.py

JasonSinclair95/SFIA2

e2657d266226dc3cd67ceeebd8148e72900ad66e

[ "MIT" ]

null

service_2/create.py

JasonSinclair95/SFIA2

e2657d266226dc3cd67ceeebd8148e72900ad66e

[ "MIT" ]

null

service_2/create.py

JasonSinclair95/SFIA2

e2657d266226dc3cd67ceeebd8148e72900ad66e

[ "MIT" ]

null

from application import db from application.models import Car db.drop_all() db.create_all()

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1

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5

24f3799412bd6466c1510123b982e26f88b2e88f

184

py

Python

algorithms/validAnagram/validAnagram.py

zhyu/leetcode

3c2d85b4b7a497ceffac3e562ac1a468f1f6a4b0

[ "MIT" ]

5

2015-02-18T10:17:12.000Z

2016-11-14T19:12:21.000Z

algorithms/validAnagram/validAnagram.py

zhyu/leetcode

3c2d85b4b7a497ceffac3e562ac1a468f1f6a4b0

[ "MIT" ]

null

algorithms/validAnagram/validAnagram.py

zhyu/leetcode

3c2d85b4b7a497ceffac3e562ac1a468f1f6a4b0

[ "MIT" ]

null

class Solution: # @param {string} s # @param {string} t # @return {boolean} def isAnagram(self, s, t): return collections.Counter(s) == collections.Counter(t)

23

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null

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0

1

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5

700d185a06c9e36ca9405e0c11ff185b70049072

256

py

Python

lib/extensions/navigation_buttons_menu_only/startup.py

neurodiverseEsoteric/nimbus

a79a37d6001d84116831c9f3f99f5d9acfa7fd19

[ "CC-BY-3.0" ]

3

2015-11-04T10:48:12.000Z

2020-07-12T06:46:27.000Z

lib/extensions/navigation_buttons_menu_only/startup.py

esotericDisciple/nimbus

a79a37d6001d84116831c9f3f99f5d9acfa7fd19

[ "CC-BY-3.0" ]

null

lib/extensions/navigation_buttons_menu_only/startup.py

esotericDisciple/nimbus

a79a37d6001d84116831c9f3f99f5d9acfa7fd19

[ "CC-BY-3.0" ]

1

2021-05-05T13:56:49.000Z

self.toolBar.widgetForAction(self.backAction).setPopupMode(QToolButton.InstantPopup) self.toolBar.widgetForAction(self.forwardAction).setPopupMode(QToolButton.InstantPopup) self.toolBar.widgetForAction(self.upAction).setPopupMode(QToolButton.InstantPopup)

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null

0

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5

703404180bc249fc8d7a7788495a86053c4cd7d7

234

py

Python

what-is-the-total-amount/python/main.py

bayupuspanugraha/lets-solve-it

851d962a12ff4a4a9eba758d1288811cb22817b8

[ "MIT" ]

null

what-is-the-total-amount/python/main.py

bayupuspanugraha/lets-solve-it

851d962a12ff4a4a9eba758d1288811cb22817b8

[ "MIT" ]

null

what-is-the-total-amount/python/main.py

bayupuspanugraha/lets-solve-it

851d962a12ff4a4a9eba758d1288811cb22817b8

[ "MIT" ]

null

import simple_request as sr import async_request as ar if __name__ == "__main__": print(f"(normal way) Total Amount: {sr.get_transactions(2, 8, 5, 50)}") print(f"(async way) Total Amount: {ar.get_transactions(2, 8, 5, 50)}")

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704c130de62127b98cd7d08ef602cc89ba22c340

37

py

Python

tests/__init__.py

ltiao/pynance

1f170f9d32262eacf566a8d7647be04715c47dc1

[ "MIT" ]

1

2021-04-24T09:23:35.000Z

tests/__init__.py

ltiao/pynance

1f170f9d32262eacf566a8d7647be04715c47dc1

[ "MIT" ]

null

tests/__init__.py

ltiao/pynance

1f170f9d32262eacf566a8d7647be04715c47dc1

[ "MIT" ]

1

2021-07-14T08:55:39.000Z

"""Unit test package for pynance."""

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5

7061bb0b9cb9298d64547af566471de47f613fd6

84

py

Python

enthought/enable/wx/cairo.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

3

2016-12-09T06:05:18.000Z

2018-03-01T13:00:29.000Z

enthought/enable/wx/cairo.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

1

2020-12-02T00:51:32.000Z

2020-12-02T08:48:55.000Z

enthought/enable/wx/cairo.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

null

# proxy module from __future__ import absolute_import from enable.wx.cairo import *

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null

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1

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1

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5

706a8d20890fbf0ea75b224b3fa7dd3907eafd53

210

py

Python

sigma/core/__init__.py

suzuki-shunsuke/pysigma.core

89fe0d99e8cba015aad245dfda8465af99d1ab9d

[ "MIT" ]

1

2022-02-09T06:38:52.000Z

sigma/core/__init__.py

suzuki-shunsuke/pysigma.core

89fe0d99e8cba015aad245dfda8465af99d1ab9d

[ "MIT" ]

null

sigma/core/__init__.py

suzuki-shunsuke/pysigma.core

89fe0d99e8cba015aad245dfda8465af99d1ab9d

[ "MIT" ]

null

from .field import option, Field, FieldMeta from .error import SigmaError, ErrorContainer, UnitError from .model import Model, ModelMeta from .util import validate, asdict from .validator import FieldValidator

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null

0

1

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1

0

1

0

5

708ab42984ee965f86b7e3e52ee46beb714dbf51

26

py

Python

kaolin/graphics/nmr/__init__.py

Bob-Yeah/kaolin

7ad34f8158000499a30b8dfa14fb3ed86d2e57a6

[ "ECL-2.0", "Apache-2.0" ]

90

2020-08-15T16:14:45.000Z

2022-01-22T10:24:13.000Z

kaolin/graphics/nmr/__init__.py

Bob-Yeah/kaolin

7ad34f8158000499a30b8dfa14fb3ed86d2e57a6

[ "ECL-2.0", "Apache-2.0" ]

11

2020-09-07T17:31:18.000Z

2021-11-25T12:07:30.000Z

kaolin/graphics/nmr/__init__.py

Bob-Yeah/kaolin

7ad34f8158000499a30b8dfa14fb3ed86d2e57a6

[ "ECL-2.0", "Apache-2.0" ]

13

2020-09-03T04:25:50.000Z

2021-12-23T08:23:33.000Z

from .rasterizer import *

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1

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null

0

1

0

1

0

5

70a9d22ba17f6b7d3c808473c136fbb824ffd15b

594

py

Python

package/ml/base.py

xenron/coco

e318d534127b769612716c05d40e3d5b090eb5a3

[ "MIT" ]

null

package/ml/base.py

xenron/coco

e318d534127b769612716c05d40e3d5b090eb5a3

[ "MIT" ]

null

package/ml/base.py

xenron/coco

e318d534127b769612716c05d40e3d5b090eb5a3

[ "MIT" ]

null

import uuid class BaseModel(object): def __init__(self): # Generate an random UUID to reference this model self._uuid = str(uuid.uuid4()) self._name = None # train the model with given data set def train(self, data): pass # train the model with given data set def getParameterDef(self): pass def setParameter(self, parameter): pass # predict the model with given dataset def predict(self, data): pass def getId(self): return self._uuid def getName(self): return self._name

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5

560e418b243f53db86c23de6da8fdff2b027e4f8

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py

Python

tests/recurrent_test.py

maxpumperla/neuralforecast

61d730a28454f89843defb823430daee2ff64912

[ "MIT" ]

35

2016-05-10T04:55:01.000Z

2021-12-24T14:11:18.000Z

tests/recurrent_test.py

Julian0C/neuralforecast

61d730a28454f89843defb823430daee2ff64912

[ "MIT" ]

null

tests/recurrent_test.py

Julian0C/neuralforecast

61d730a28454f89843defb823430daee2ff64912

[ "MIT" ]

8

2016-06-22T11:32:30.000Z

2018-06-24T19:34:25.000Z

from __future__ import print_function from keras.models import Sequential from keras.utils.test_utils import get_test_data from neuralforecast.layers.recurrent import ARMA, GARCH def test_arma_layer(): (X_train, y_train), (X_test, y_test) = get_test_data(nb_train=100, nb_test=50, input_shape=(100, 1), output_shape=(1,), classification=False) model = Sequential() model.add(ARMA(inner_input_dim=10, input_shape=(100, 1), output_dim=1)) model.compile(loss='mean_squared_error', optimizer='sgd') model.fit(X_train, y_train) def test_garch_layer(): (X_train, y_train), (X_test, y_test) = get_test_data(nb_train=100, nb_test=50, input_shape=(100, 1), output_shape=(1,), classification=False) model = Sequential() model.add(GARCH(inner_input_dim=10, input_shape=(100, 1), output_dim=1)) model.compile(loss='mean_squared_error', optimizer='sgd') model.fit(X_train, y_train)

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562d9ae01e2a80c2af1dfdb4da3cfa1569b4ef24

249

py

Python

lldb/packages/Python/lldbsuite/test/lang/objc/variadic_methods/TestVariadicMethods.py

medismailben/llvm-project

e334a839032fe500c3bba22bf976ab7af13ce1c1

[ "Apache-2.0" ]

765

2015-12-03T16:44:59.000Z

2022-03-07T12:41:10.000Z

lldb/packages/Python/lldbsuite/test/lang/objc/variadic_methods/TestVariadicMethods.py

medismailben/llvm-project

e334a839032fe500c3bba22bf976ab7af13ce1c1

[ "Apache-2.0" ]

1,815

2015-12-11T23:56:05.000Z

2020-01-10T19:28:43.000Z

lldb/packages/Python/lldbsuite/test/lang/objc/variadic_methods/TestVariadicMethods.py

medismailben/llvm-project

e334a839032fe500c3bba22bf976ab7af13ce1c1

[ "Apache-2.0" ]

284

2015-12-03T16:47:25.000Z

2022-03-12T05:39:48.000Z

from lldbsuite.test import lldbinline from lldbsuite.test import decorators lldbinline.MakeInlineTest( __file__, globals(), [ decorators.skipIfFreeBSD, decorators.skipIfLinux, decorators.skipIfWindows, decorators.skipIfNetBSD])

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5

5662407128e616efc453ea1f81717c68bacea38b

25

py

Python

package/__init__.py

AyoubBelhadji/random_matrix_factorization

44ee6cd01b1d3f5d70d8392b3b7c1ccdb93e2d89

[ "MIT" ]

null

package/__init__.py

AyoubBelhadji/random_matrix_factorization

44ee6cd01b1d3f5d70d8392b3b7c1ccdb93e2d89

[ "MIT" ]

null

package/__init__.py

AyoubBelhadji/random_matrix_factorization

44ee6cd01b1d3f5d70d8392b3b7c1ccdb93e2d89

[ "MIT" ]

null

# from . import fast_svd

12.5

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true

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null

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5

5682f26d183b647ddf2ddf67df24e4b25fba6a88

130

py

Python

tests/test_versions_routes.py

aryan040501/wikilabels

ea110da2b969cc978a0f288c4da6250dc9d67e72

[ "MIT" ]

15

2015-07-16T17:56:43.000Z

2018-08-20T14:59:16.000Z

tests/test_versions_routes.py

aryan040501/wikilabels

ea110da2b969cc978a0f288c4da6250dc9d67e72

[ "MIT" ]

122

2015-06-10T15:58:11.000Z

2018-08-16T14:56:23.000Z

tests/test_versions_routes.py

aryan040501/wikilabels

ea110da2b969cc978a0f288c4da6250dc9d67e72

[ "MIT" ]

27

2015-07-15T22:12:35.000Z

2018-08-06T23:10:28.000Z

from .routes_test_fixture import app # noqa def test_versions(client): assert client.get("/versions/")._status_code == 200

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85

py

Python

quizes/admin.py

regina404/school

ec7d44c158694293c381c31d778b97496ccf154b

[ "MIT" ]

null

quizes/admin.py

regina404/school

ec7d44c158694293c381c31d778b97496ccf154b

[ "MIT" ]

null

quizes/admin.py

regina404/school

ec7d44c158694293c381c31d778b97496ccf154b

[ "MIT" ]

null

from django.contrib import admin from .models import Quiz admin.site.register(Quiz)

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true

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null

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1

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1

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1

0

5

5699c197940353adc43960820cef87ea30e6bbfe

149

py

Python

FileAction.py

fanonwue/scannertool

d16f5085b98fba877cc85dda08f26de9df8dc5ba

[ "MIT" ]

null

FileAction.py

fanonwue/scannertool

d16f5085b98fba877cc85dda08f26de9df8dc5ba

[ "MIT" ]

null

FileAction.py

fanonwue/scannertool

d16f5085b98fba877cc85dda08f26de9df8dc5ba

[ "MIT" ]

null

from pathlib import Path class FileAction: def execute(self, file: Path): """Execute an action on the given file path""" pass

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false

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null

0

1

0

null

0

1

0

1

0

1

0

5

3b0a9d69e29225a8e4a1e974da0d130f79fb5611

150

py

Python

corehq/ex-submodules/pillowtop/processors/__init__.py

dimagilg/commcare-hq

ea1786238eae556bb7f1cbd8d2460171af1b619c

[ "BSD-3-Clause" ]

471

2015-01-10T02:55:01.000Z

2022-03-29T18:07:18.000Z

corehq/ex-submodules/pillowtop/processors/__init__.py

dimagilg/commcare-hq

ea1786238eae556bb7f1cbd8d2460171af1b619c

[ "BSD-3-Clause" ]

14,354

2015-01-01T07:38:23.000Z

2022-03-31T20:55:14.000Z

corehq/ex-submodules/pillowtop/processors/__init__.py

dimagilg/commcare-hq

ea1786238eae556bb7f1cbd8d2460171af1b619c

[ "BSD-3-Clause" ]

175

2015-01-06T07:16:47.000Z

2022-03-29T13:27:01.000Z

from .interface import PillowProcessor, BulkPillowProcessor from .sample import NoopProcessor, LoggingProcessor from .elastic import ElasticProcessor

37.5

59

0.873333

14

150

9.357143

0.714286

0

0.093333

150

3

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0

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true

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1

0

null

0

1

0

1

0

1

0

5

3b217bf14d55b7ef419c170175ca69fa339247d6

483

py

Python

sited_py/lib/noear_snacks_OObject.py

wistn/sited_py

fbecf09f410bd2494a952383073956946d9df813

[ "Apache-2.0" ]

null

sited_py/lib/noear_snacks_OObject.py

wistn/sited_py

fbecf09f410bd2494a952383073956946d9df813

[ "Apache-2.0" ]

null

sited_py/lib/noear_snacks_OObject.py

wistn/sited_py

fbecf09f410bd2494a952383073956946d9df813

[ "Apache-2.0" ]

null

# -*- coding: UTF-8 -*- """ Author:wistn since:2021-03-02 LastEditors:Do not edit LastEditTime:2021-03-04 Description: """ class OObject: def __init__(self): self.members = dict() def set(self, key, value): self.members[key] = value def get(self, key): return self.members.get(key) def contains(self, key): return key in self.members def count(self): return self.members.__len__() def clear(self): pass

16.1

37

0.604555

64

483

4.4375

0.53125

0.193662

0.091549

0

0.047753

0.26294

483

29

38

16.655172

0.75

0.233954

0

1

0

1

0.461538

false

0.076923

0

0.230769

0.769231

0

null

0

1

0

null

0

1

0

1

0

1

0

5

3b59d594a7999ee3da3ca9022f26403ad6a8eb5c

141

py

Python

jptel/exception.py

zenwerk/jptel-py

4c26b94db5b8ba3832a7295ec92542737005146b

[ "MIT" ]

null

jptel/exception.py

zenwerk/jptel-py

4c26b94db5b8ba3832a7295ec92542737005146b

[ "MIT" ]

null

jptel/exception.py

zenwerk/jptel-py

4c26b94db5b8ba3832a7295ec92542737005146b

[ "MIT" ]

null

# -*- coding=utf-8 -*- class InvalidCharacterException(ValueError): pass class InvalidTelephoneNumberException(ValueError): pass

14.1

50

0.737589

11

141

9.454545

0.727273

0.269231

0

0.008403

0.156028

141

9

51

15.666667

0.865546

0.141844

0

0.5

0

1

0

true

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

5

3b77d035ca1ca415c87132f85a47aeeb2aae9abd

104

py

Python

kbastroutils/mag2flux.py

bkornpob/kbastroutils

89bdf8f395234a22a8b1386f028892b07559022e

[ "MIT" ]

null

kbastroutils/mag2flux.py

bkornpob/kbastroutils

89bdf8f395234a22a8b1386f028892b07559022e

[ "MIT" ]

null

kbastroutils/mag2flux.py

bkornpob/kbastroutils

89bdf8f395234a22a8b1386f028892b07559022e

[ "MIT" ]

null

def mag2flux(mag,wave): import numpy as np return 10**(-0.4 * (mag + 2.406 + 5.*np.log10(wave)))

34.666667

57

0.596154

19

104

3.263158

0.842105

0

0.144578

0.201923

104

3

57

34.666667

0.60241

0

1

0.333333

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

8e65fdf367d604ecdeab0e5e13ab7f7365bc5554

1,465

py

Python

00.FullSpeedPython/06.Classes/09.ExerciseInheritance.py

hadibakalim/python_related_courses

79773e8186a0a109d8afe981440e36f4eeacbcb9

[ "MIT" ]

1

2019-11-08T10:54:38.000Z

00.FullSpeedPython/06.Classes/09.ExerciseInheritance.py

hadibakalim/python_related_courses

79773e8186a0a109d8afe981440e36f4eeacbcb9

[ "MIT" ]

null

00.FullSpeedPython/06.Classes/09.ExerciseInheritance.py

hadibakalim/python_related_courses

79773e8186a0a109d8afe981440e36f4eeacbcb9

[ "MIT" ]

null

class Rectangle: def __init__(self, x1, y1, x2, y2): # class constructor self.x1 = x1 # class variable self.y1 = y1 # class variable self.x2 = x2 # class variable self.y2 = y2 # class variable def width(self): return self.x2 - self.x1 def height(self): return self.y2 - self.y1 def area(self): return self.width() * self.height() class Square(Rectangle): #write your code here def __init__(self, x1, y1, length): self.x1 = x1 # class variable self.y1 = y1 # class variable self.length = length super().__init__(x1,y1,x1+length,y1+length) def area(self): return super().area() # Alternative Solution class Rectangle: def __init__(self, x1, y1, x2, y2): # class constructor self.x1 = x1 # class variable self.y1 = y1 # class variable self.x2 = x2 # class variable self.y2 = y2 # class variable def width(self): return self.x2 - self.x1 def height(self): return self.y2 - self.y1 def area(self): return self.width() * self.height() #write your code here class Square(Rectangle): def __init__(self, x1, y1, length): x2 = x1 + length y2 = y1 + length super().__init__(x1, y1, x2, y2) # test your code here square = Square (2, 7, 7) print("Length: " + str(square.width()) + ", Area: " + str(square.area())) square2 = Square (1, 3, 5) print("Length: " + str(square2.width()) + ", Area: " + str(square2.area()))

26.636364

75

0.6157

209

1,465

4.200957

0.157895

0.148064

0.154897

0.059226

0.677677

0.634396

0.57631

0

0.055354

0.247782

1,465

55

75

26.636364

0.741379

0.18157

0

0.756098

0

0.02705

0

0.018182

0

1

0.268293

false

0

0.170732

0.536585

0.04878

0

null

0

1

0

null

0

1

0

1

0

1

0

5

8eafd8a105bee63925541c19548cbd4d80d6e255

65

py

Python

project/polypy/__init__.py

apjansing/MAT560_project

e420f1462e91258ace47a43e6525d540e3ee841e

[ "MIT" ]

null

project/polypy/__init__.py

apjansing/MAT560_project

e420f1462e91258ace47a43e6525d540e3ee841e

[ "MIT" ]

null

project/polypy/__init__.py

apjansing/MAT560_project

e420f1462e91258ace47a43e6525d540e3ee841e

[ "MIT" ]

null

from plotter import plotter from interpolator import interpolator

32.5

37

0.892308

8

65

7.25

0.5

0

0.107692

65

2

37

32.5

1

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

d9606dfda150e6ceef80b392ba44edd582c147b1

22,331

py

Python

artifact_analyzer/parsers/lv1_os_win_reg_os_info.py

sk-yaho/carpe

077ef7ba1582b3de9f5c08d63431e744b77a9e09

[ "Apache-2.0" ]

2

2020-07-09T02:01:50.000Z

2020-11-21T15:19:32.000Z

artifact_analyzer/parsers/lv1_os_win_reg_os_info.py

sk-yaho/carpe

077ef7ba1582b3de9f5c08d63431e744b77a9e09

[ "Apache-2.0" ]

null

artifact_analyzer/parsers/lv1_os_win_reg_os_info.py

sk-yaho/carpe

077ef7ba1582b3de9f5c08d63431e744b77a9e09

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- from __future__ import unicode_literals import os, sys, re from datetime import datetime, timedelta sys.path.append(os.path.join(os.path.abspath(os.path.dirname(__file__)), "parsers")) import parser_interface from utility import carpe_db class OS_Information: def __init__(self): self.par_id = '' self.case_id = '' self.evd_id = '' self.operating_system = '' self.version_number = '' self.install_time = '' self.product_key = '' self.owner = '' self.display_computer_name = '' self.computer_name = '' self.dhcp_dns_server = '' self.operating_system_version = '' self.build_number = '' self.product_id = '' self.last_service_pack = '' self.organization = '' self.last_shutdown_time = '' self.system_root = '' self.path = '' self.last_access_time_flag = '' self.timezone_utc = '' self.display_timezone_name = '' class OSINFO(parser_interface.ParserInterface): """ OS Information Parser. """ def __init__(self): # Initialize Formatter Interface super().__init__() def Parse(self, case_id, evd_id, par_list): """ Analyzes records related to usb all device in Psort result. """ # Check Table if not self.CheckTable(): self.CreateTable() db = carpe_db.Mariadb() db.open() for par in par_list: for art in self.ARTIFACTS: name = art['Name'] desc = art['Desc'] values = art['Values'] if name == "os_info": # TODO : Fix a Chorme Cache plugin -> lack information OS_list = [] OS_count = 0 #Select Default OS query = r"SELECT description, filename, datetime FROM log2timeline WHERE description like '%#[HKEY_LOCAL_MACHINE#\\Software#\\Microsoft#\\Windows NT#\\CurrentVersion#]%' escape '#' or description like '%#[HKEY_LOCAL_MACHINE#\\System#\\ControlSet001#\\Control#\\ComputerName#\\ComputerName#]%' escape '#' or description like '%#[HKEY_LOCAL_MACHINE#\\System#\\ControlSet001#\\Control#\\FileSystem#]%' escape '#' or description like '%#[HKEY_LOCAL_MACHINE#\\System#\\ControlSet001#\\Control#\\TimeZoneInformation#]%' escape '#' or description like '%#[HKEY_LOCAL_MACHINE#\\System#\\ControlSet001#\\Services#\\Tcpip#\\Parameters#]%' escape '#' or description like '%#[HKEY_LOCAL_MACHINE#\\System#\\ControlSet001#\\Control#\\Windows#]%' escape '#'" result_query = db.execute_query_mul(query) os_information = OS_Information() try: OS_list.append(os_information) for result_data in result_query: if 'SafeOS' in result_data[1] or 'Windows.old' in result_data[1]: if 'CurrentVersion]' in result_data[0].decode('utf-8'): if 'ProductName' in result_data[0].decode('utf-8'): if 'RegisteredOwner' in result_data[0].decode('utf-8'): dataInside = r"ProductName: \[REG_SZ\] (.*) RegisteredOrganization: (.*) ReleaseId: \[REG_SZ\] (.*) SoftwareType:" m = re.search(dataInside, result_data[0].decode('utf-8')) OS_list[OS_count].operating_system = m.group(1)+'('+m.group(3)+')' else: dataInside = r"ProductName: \[REG_SZ\] (.*) ReleaseId: \[REG_SZ\] (.*) SoftwareType:" m = re.search(dataInside, result_data[0].decode('utf-8')) OS_list[OS_count].operating_system = m.group(1)+'('+m.group(2)+')' if 'CurrentVersion' in result_data[0].decode('utf-8'): dataInside = r" CurrentVersion: \[REG_SZ\] ([\d\W]*)" m = re.search(dataInside, result_data[0].decode('utf-8')) OS_list[OS_count].version_number = m.group(1) if 'InstallTime' in result_data[0].decode('utf-8'): dataInside = r"InstallTime: \[REG_QWORD\] ([\d]*)" m = re.search(dataInside, result_data[0].decode('utf-8')) OS_list[OS_count].install_time = datetime(1601, 1, 1) + timedelta(microseconds=int(m.group(1))/10) if 'RegisteredOwner' in result_data[0].decode('utf-8'): dataInside = r"RegisteredOwner: \[REG_SZ\] (.*) ReleaseId:" m = re.search(dataInside, result_data[0].decode('utf-8')) OS_list[OS_count].owner = m.group(1) if 'EditionID' in result_data[0].decode('utf-8'): if 'InstallTime' in result_data[0].decode('utf-8'): dataInside = r"EditionID: \[REG_SZ\] (.*) InstallTime:" m = re.search(dataInside, result_data[0].decode('utf-8')) OS_list[OS_count].operating_system_version = m.group(1) else: dataInside = r"EditionID: \[REG_SZ\] (.*) InstallationType:" m = re.search(dataInside, result_data[0].decode('utf-8')) OS_list[OS_count].operating_system_version = m.group(1) if 'CurrentBuildNumber' in result_data[0].decode('utf-8'): dataInside = r"CurrentBuildNumber: \[REG_SZ\] ([\d]*)" m = re.search(dataInside, result_data[0].decode('utf-8')) OS_list[OS_count].build_number = m.group(1) if 'ProductId' in result_data[0].decode('utf-8'): dataInside = r"ProductId: \[REG_SZ\] (.*) ProductName:" m = re.search(dataInside, result_data[0].decode('utf-8')) OS_list[OS_count].product_id = m.group(1) if 'RegisteredOrganizations' in result_data[0].decode('utf-8'): dataInside = r"RegisteredOrganizations: \[REG_SZ\] (.*) RegisteredOwner:" m = re.search(dataInside, result_data[0].decode('utf-8')) OS_list[OS_count].Organization = m.group(1) if 'SystemRoot' in result_data[0].decode('utf-8'): dataInside = r"SystemRoot: \[REG_SZ\] (.*) UBR:" m = re.search(dataInside, result_data[0].decode('utf-8')) OS_list[OS_count].system_root = m.group(1) if 'PathName' in result_data[0].decode('utf-8'): if 'ProductId' in result_data[0].decode('utf-8'): dataInside = r"PathName: \[REG_SZ\] (.*) ProductId:" m = re.search(dataInside, result_data[0].decode('utf-8')) OS_list[OS_count].path = m.group(1) else: dataInside = r"PathName: \[REG_SZ\] (.*) ProductName:" m = re.search(dataInside, result_data[0].decode('utf-8')) OS_list[OS_count].path = m.group(1) if 'ComputerName\ComputerName]' in result_data[0].decode('utf-8'): dataInside = r"ComputerName: \[REG_SZ\] (.*)" m = re.search(dataInside, result_data[0].decode('utf-8')) OS_list[OS_count].computer_name = m.group(1) if 'FileSystem]' in result_data[0].decode('utf-8'): dataInside = r"NtfsDisableLastAccessUpdate: \[REG_DWORD_LE\] ([\d])" m = re.search(dataInside, result_data[0].decode('utf-8')) if m.group(1) == '1': OS_list[OS_count].last_access_time_flag = 'No' else: OS_list[OS_count].last_access_time_flag = 'Yes' if 'TimeZoneInformation]' in result_data[0].decode('utf-8'): dataInside = r"TimeZoneKeyName: (.*)" m = re.search(dataInside, result_data[0].decode('utf-8')) OS_list[OS_count].display_timezone_name = m.group(1) if 'Tcpip\Parameters]' in result_data[0].decode('utf-8'): if 'Hostname' in result_data[0].decode('utf-8'): dataInside = r"Hostname: \[REG_SZ\] (.*) ICSDomain:" m = re.search(dataInside, result_data[0].decode('utf-8')) OS_list[OS_count].display_computer_name = m.group(1) dataInside = r"DhcpNameServer: \[REG_SZ\] (.*) Domain:" m = re.search(dataInside, result_data[0].decode('utf-8')) OS_list[OS_count].dhcp_dns_server = m.group(1) elif 'HostName' in result_data[0].decode('utf-8'): dataInside = r"HostName: \[REG_SZ\] (.*) ICSDomain:" m = re.search(dataInside, result_data[0].decode('utf-8')) OS_list[OS_count].display_computer_name = m.group(1) dataInside = r"DhcpNameServer: \[REG_SZ\] (.*) Domain:" m = re.search(dataInside, result_data[0].decode('utf-8')) OS_list[OS_count].dhcp_dns_server = m.group(1) if 'Control\Windows]' in result_data[0].decode('utf-8'): OS_list[OS_count].last_shutdown_time = str(result_data[2]) OS_count = OS_count + 1 os_information = OS_Information() OS_list.append(os_information) for result_data in result_query: if 'SafeOS' not in result_data[1] and 'Windows.old' not in result_data[1]: if 'CurrentVersion]' in result_data[0].decode('utf-8'): if 'ProductName' in result_data[0].decode('utf-8'): if 'RegisteredOwner' in result_data[0].decode('utf-8'): dataInside = r"ProductName: \[REG_SZ\] (.*) RegisteredOrganization: (.*) ReleaseId: \[REG_SZ\] (.*) SoftwareType:" m = re.search(dataInside, result_data[0].decode('utf-8')) OS_list[OS_count].operating_system = m.group(1)+'('+m.group(3)+')' else: dataInside = r"ProductName: \[REG_SZ\] (.*) ReleaseId: \[REG_SZ\] (.*) SoftwareType:" m = re.search(dataInside, result_data[0].decode('utf-8')) OS_list[OS_count].operating_system = m.group(1)+'('+m.group(2)+')' if 'CurrentVersion' in result_data[0].decode('utf-8'): dataInside = r" CurrentVersion: \[REG_SZ\] ([\d\W]*)" m = re.search(dataInside, result_data[0].decode('utf-8')) OS_list[OS_count].version_number = m.group(1) if 'InstallTime' in result_data[0].decode('utf-8'): dataInside = r"InstallTime: \[REG_QWORD\] ([\d]*)" m = re.search(dataInside, result_data[0].decode('utf-8')) OS_list[OS_count].install_time = datetime(1601, 1, 1) + timedelta(microseconds=int(m.group(1))/10) if 'RegisteredOwner' in result_data[0].decode('utf-8'): dataInside = r"RegisteredOwner: \[REG_SZ\] (.*) ReleaseId:" m = re.search(dataInside, result_data[0].decode('utf-8')) OS_list[OS_count].owner = m.group(1) if 'EditionID' in result_data[0].decode('utf-8'): if 'InstallTime' in result_data[0].decode('utf-8'): if 'EditionSubManufacturer' in result_data[0].decode('utf-8'): dataInside = r" EditionID: \[REG_SZ\] (.*) EditionSubManufacturer:" m = re.search(dataInside, result_data[0].decode('utf-8')) OS_list[OS_count].operating_system_version = m.group(1) else: dataInside = r" EditionID: \[REG_SZ\] (.*) InstallTime:" m = re.search(dataInside, result_data[0].decode('utf-8')) OS_list[OS_count].operating_system_version = m.group(1) else: dataInside = r" EditionID: \[REG_SZ\] (.*) InstallationType:" m = re.search(dataInside, result_data[0].decode('utf-8')) OS_list[OS_count].operating_system_version = m.group(1) if 'CurrentBuildNumber' in result_data[0].decode('utf-8'): dataInside = r"CurrentBuildNumber: \[REG_SZ\] ([\d]*)" m = re.search(dataInside, result_data[0].decode('utf-8')) OS_list[OS_count].build_number = m.group(1) if 'ProductId' in result_data[0].decode('utf-8'): dataInside = r"ProductId: \[REG_SZ\] (.*) ProductName:" m = re.search(dataInside, result_data[0].decode('utf-8')) OS_list[OS_count].product_id = m.group(1) if 'RegisteredOrganizations' in result_data[0].decode('utf-8'): dataInside = r"RegisteredOrganizations: \[REG_SZ\] (.*) RegisteredOwner:" m = re.search(dataInside, result_data[0].decode('utf-8')) OS_list[OS_count].Organization = m.group(1) if 'SystemRoot' in result_data[0].decode('utf-8'): dataInside = r"SystemRoot: \[REG_SZ\] (.*) UBR:" m = re.search(dataInside, result_data[0].decode('utf-8')) OS_list[OS_count].system_root = m.group(1) if 'PathName' in result_data[0].decode('utf-8'): dataInside = r"PathName: \[REG_SZ\] (.*) ProductId:" m = re.search(dataInside, result_data[0].decode('utf-8')) OS_list[OS_count].path = m.group(1) if 'ComputerName\ComputerName]' in result_data[0].decode('utf-8'): dataInside = r"ComputerName: \[REG_SZ\] (.*)" m = re.search(dataInside, result_data[0].decode('utf-8')) OS_list[OS_count].computer_name = m.group(1) if 'FileSystem]' in result_data[0].decode('utf-8'): dataInside = r"NtfsDisableLastAccessUpdate: \[REG_DWORD_LE\] (.*) NtfsDisableLfsDowngrade:" m = re.search(dataInside, result_data[0].decode('utf-8')) if m.group(1) == '1': OS_list[OS_count].last_access_time_flag = 'No' elif m.group(1) == '0': OS_list[OS_count].last_access_time_flag = 'Yes' else: OS_list[OS_count].last_access_time_flag = m.group(1) + '(not parsed)' if 'TimeZoneInformation]' in result_data[0].decode('utf-8'): dataInside = r"TimeZoneKeyName: (.*)" m = re.search(dataInside, result_data[0].decode('utf-8')) OS_list[OS_count].display_timezone_name = m.group(1) if 'Tcpip\Parameters]' in result_data[0].decode('utf-8'): if 'HostName' in result_data[0].decode('utf-8'): dataInside = r"HostName: \[REG_SZ\] (.*) ICSDomain:" m = re.search(dataInside, result_data[0].decode('utf-8')) OS_list[OS_count].display_computer_name = m.group(1) dataInside = r"DhcpNameServer: \[REG_SZ\] (.*) Domain:" m = re.search(dataInside, result_data[0].decode('utf-8')) OS_list[OS_count].dhcp_dns_server = m.group(1) elif 'Hostname' in result_data[0].decode('utf-8'): dataInside = r"Hostname: \[REG_SZ\] (.*) ICSDomain:" m = re.search(dataInside, result_data[0].decode('utf-8')) OS_list[OS_count].display_computer_name = m.group(1) dataInside = r"DhcpNameServer: \[REG_SZ\] (.*) Domain:" m = re.search(dataInside, result_data[0].decode('utf-8')) OS_list[OS_count].dhcp_dns_server = m.group(1) if 'Control\Windows]' in result_data[0].decode('utf-8'): OS_list[OS_count].last_shutdown_time = str(result_data[2]) except: print("MAX-OS_INFO" + result_data[0].decode('utf-8')+"error") try: query1 = r"SELECT description, filename FROM log2timeline WHERE description like '%#Windows NT#\\CurrentVersion#\\Time Zones#\\" + \ OS_list[0].display_timezone_name + "%' escape '#' and (filename like '%SafeOS%' or filename like '%Windows.old%')" query2 = r"SELECT description, filename FROM log2timeline WHERE description like '%#Windows NT#\\CurrentVersion#\\Time Zones#\\" + \ OS_list[1].display_timezone_name + "%' escape '#' and (filename not like '%SafeOS%' and filename not like '%Windows.old%')" result_data = db.execute_query_mul(query1) result_data2 = db.execute_query_mul(query2) dataInside = r" Display: \[REG_SZ\] (.*) Dlt:" m = re.search(dataInside, result_data[0][0].decode('utf-8')) OS_list[0].timezone_utc = m.group(1) m = re.search(dataInside, result_data2[0][0].decode('utf-8')) OS_list[1].timezone_utc = m.group(1) except: print("MAX-OSINFO-Timezone_error") for os in OS_list: insert_values = (par[0], case_id, evd_id, str(os.operating_system), str(os.version_number), str(os.install_time), str(os.product_key), str(os.owner), str(os.display_computer_name), str(os.computer_name), str(os.dhcp_dns_server), str(os.operating_system_version), str(os.build_number), str(os.product_id), str(os.last_service_pack), str(os.organization), str(os.last_shutdown_time), str(os.system_root), str(os.path), str(os.last_access_time_flag), str(os.timezone_utc), str(os.display_timezone_name)) self.InsertQuery(db, insert_values) db.close() now = datetime.now() print('[%s-%s-%s %s:%s:%s] OS INFO DONE' % (now.year, now.month, now.day, now.hour, now.minute, now.second)) def InsertQuery(self, _db, _insert_values_tuple): query = self.GetQuery('I', _insert_values_tuple) _db.execute_query(query)

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d9992bdd5e6dc247b839511c13055b295aee1b17

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py

Python

notes/tests/test_parser.py

juancoquet/personalwebsite

3d9979ed6aa42ed031971a5e3c6e880f5642c33f

[ "MIT" ]

null

notes/tests/test_parser.py

juancoquet/personalwebsite

3d9979ed6aa42ed031971a5e3c6e880f5642c33f

[ "MIT" ]

null

notes/tests/test_parser.py

juancoquet/personalwebsite

3d9979ed6aa42ed031971a5e3c6e880f5642c33f

[ "MIT" ]

null

from django.urls import reverse from unittest import TestCase, result from unittest import skip from .. import parse_md class MarkdownParseTest(TestCase): def test_parse_h1(self): text = '# Title being tested' result = parse_md.parse_h1(text) expected = '<h1>Title being tested</h1>' self.assertEqual(result, expected) def test_parse_h1_on_multiple_lines(self): text = 'preceding text\n# Title being tested\nsome more text' result = parse_md.parse_h1(text) expected = 'preceding text\n<h1>Title being tested</h1>\nsome more text' self.assertEqual(result, expected) def test_multiple_h1_parses(self): text = '# Title being tested\nsome random text\n# Title being tested2' result = parse_md.parse_h1(text) expected = '<h1>Title being tested</h1>\nsome random text\n<h1>Title being tested2</h1>' self.assertEqual(result, expected) def test_unintended_hash_symbol_does_not_parse_to_h1(self): text = 'the following # should not match' result = parse_md.parse_h1(text) expected = 'the following # should not match' self.assertEqual(result, expected) def test_h1_does_not_parse_inside_code_block(self): text = '```\n# python comment\nmy_var = "hello world"\n```' result = parse_md.parse_h1(text) expected = '```\n# python comment\nmy_var = "hello world"\n```' self.assertEqual(result, expected) def test_h1_does_not_parse_inside_code_block_with_multiple_lines(self): text = '```\n# python comment\nmy_var = "hello world"\n# python comment2\n```' result = parse_md.parse_h1(text) expected = '```\n# python comment\nmy_var = "hello world"\n# python comment2\n```' self.assertEqual(result, expected) def test_parse_h2(self): text = '## Title being tested' result = parse_md.parse_h2(text) expected = '<h2>Title being tested</h2>' self.assertEqual(result, expected) def test_parse_h2_on_multiple_lines(self): text = 'preceding text\n## Title being tested\nsome more text' result = parse_md.parse_h2(text) expected = 'preceding text\n<h2>Title being tested</h2>\nsome more text' self.assertEqual(result, expected) def test_multiple_h2_parses(self): text = '## Title being tested\nsome random text\n## Title being tested2' result = parse_md.parse_h2(text) expected = '<h2>Title being tested</h2>\nsome random text\n<h2>Title being tested2</h2>' self.assertEqual(result, expected) def test_unintended_hash_symbol_does_not_parse_to_h2(self): text = 'the following ## should not match' result = parse_md.parse_h2(text) expected = 'the following ## should not match' self.assertEqual(result, expected) def test_h2_does_not_parse_inside_code_block(self): text = '```\n## python comment\nmy_var = "hello world"\n```' result = parse_md.parse_h2(text) expected = '```\n## python comment\nmy_var = "hello world"\n```' self.assertEqual(result, expected) def test_h2_does_not_parse_inside_code_block_with_multiple_lines(self): text = '```\n## python comment\nmy_var = "hello world"\n## python comment2\n```' result = parse_md.parse_h2(text) expected = '```\n## python comment\nmy_var = "hello world"\n## python comment2\n```' self.assertEqual(result, expected) def test_parse_h3(self): text = '### Title being tested' result = parse_md.parse_h3(text) expected = '<h3>Title being tested</h3>' self.assertEqual(result, expected) def test_parse_h3_on_multiple_lines(self): text = 'preceding text\n### Title being tested\nsome more text' result = parse_md.parse_h3(text) expected = 'preceding text\n<h3>Title being tested</h3>\nsome more text' self.assertEqual(result, expected) def test_multiple_h3_parses(self): text = '### Title being tested\nsome random text\n### Title being tested2' result = parse_md.parse_h3(text) expected = '<h3>Title being tested</h3>\nsome random text\n<h3>Title being tested2</h3>' self.assertEqual(result, expected) def test_unintended_hash_symbol_does_not_parse_to_h3(self): text = 'the following ### should not match' result = parse_md.parse_h3(text) expected = 'the following ### should not match' self.assertEqual(result, expected) def test_h3_does_not_parse_inside_code_block(self): text = '```\n### python comment\nmy_var = "hello world"\n```' result = parse_md.parse_h3(text) expected = '```\n### python comment\nmy_var = "hello world"\n```' self.assertEqual(result, expected) def test_h3_does_not_parse_inside_code_block_with_multiple_lines(self): text = '```\n### python comment\nmy_var = "hello world"\n### python comment2\n```' result = parse_md.parse_h3(text) expected = '```\n### python comment\nmy_var = "hello world"\n### python comment2\n```' self.assertEqual(result, expected) def test_parse_h4(self): text = '#### Title being tested' result = parse_md.parse_h4(text) expected = '<h4>Title being tested</h4>' self.assertEqual(result, expected) def test_parse_h4_on_multiple_lines(self): text = 'preceding text\n#### Title being tested\nsome more text' result = parse_md.parse_h4(text) expected = 'preceding text\n<h4>Title being tested</h4>\nsome more text' self.assertEqual(result, expected) def test_multiple_h4_parses(self): text = '#### Title being tested\nsome random text\n#### Title being tested2' result = parse_md.parse_h4(text) expected = '<h4>Title being tested</h4>\nsome random text\n<h4>Title being tested2</h4>' self.assertEqual(result, expected) def test_unintended_hash_symbol_does_not_parse_to_h4(self): text = 'the following #### should not match' result = parse_md.parse_h4(text) expected = 'the following #### should not match' self.assertEqual(result, expected) def test_h4_does_not_parse_inside_code_block(self): text = '```\n#### python comment\nmy_var = "hello world"\n```' result = parse_md.parse_h4(text) expected = '```\n#### python comment\nmy_var = "hello world"\n```' self.assertEqual(result, expected) def test_h4_does_not_parse_inside_code_block_with_multiple_lines(self): text = '```\n#### python comment\nmy_var = "hello world"\n#### python comment2\n```' result = parse_md.parse_h4(text) expected = '```\n#### python comment\nmy_var = "hello world"\n#### python comment2\n```' self.assertEqual(result, expected) def test_parse_h5(self): text = '##### Title being tested' result = parse_md.parse_h5(text) expected = '<h5>Title being tested</h5>' self.assertEqual(result, expected) def test_parse_h5_on_multiple_lines(self): text = 'preceding text\n##### Title being tested\nsome more text' result = parse_md.parse_h5(text) expected = 'preceding text\n<h5>Title being tested</h5>\nsome more text' self.assertEqual(result, expected) def test_multiple_h5_parses(self): text = '##### Title being tested\nsome random text\n##### Title being tested2' result = parse_md.parse_h5(text) expected = '<h5>Title being tested</h5>\nsome random text\n<h5>Title being tested2</h5>' self.assertEqual(result, expected) def test_unintended_hash_symbol_does_not_parse_to_h5(self): text = 'the following ##### should not match' result = parse_md.parse_h5(text) expected = 'the following ##### should not match' self.assertEqual(result, expected) def test_h5_does_not_parse_inside_code_block(self): text = '```\n###### python comment\nmy_var = "hello world"\n```' result = parse_md.parse_h5(text) expected = '```\n###### python comment\nmy_var = "hello world"\n```' self.assertEqual(result, expected) def test_h5_does_not_parse_inside_code_block_with_multiple_lines(self): text = '```\n###### python comment\nmy_var = "hello world"\n###### python comment2\n```' result = parse_md.parse_h5(text) expected = '```\n###### python comment\nmy_var = "hello world"\n###### python comment2\n```' self.assertEqual(result, expected) def test_parse_h6(self): text = '###### Title being tested' result = parse_md.parse_h6(text) expected = '<h6>Title being tested</h6>' self.assertEqual(result, expected) def test_parse_h6_on_multiple_lines(self): text = 'preceding text\n###### Title being tested\nsome more text' result = parse_md.parse_h6(text) expected = 'preceding text\n<h6>Title being tested</h6>\nsome more text' self.assertEqual(result, expected) def test_multiple_h6_parses(self): text = '###### Title being tested\nsome random text\n###### Title being tested2' result = parse_md.parse_h6(text) expected = '<h6>Title being tested</h6>\nsome random text\n<h6>Title being tested2</h6>' self.assertEqual(result, expected) def test_unintended_hash_symbol_does_not_parse_to_h6(self): text = 'the following ###### should not match' result = parse_md.parse_h6(text) expected = 'the following ###### should not match' self.assertEqual(result, expected) def test_h6_does_not_parse_inside_code_block(self): text = '```\n####### python comment\nmy_var = "hello world"\n```' result = parse_md.parse_h6(text) expected = '```\n####### python comment\nmy_var = "hello world"\n```' self.assertEqual(result, expected) def test_h6_does_not_parse_inside_code_block_with_multiple_lines(self): text = '```\n####### python comment\nmy_var = "hello world"\n####### python comment2\n```' result = parse_md.parse_h6(text) expected = '```\n####### python comment\nmy_var = "hello world"\n####### python comment2\n```' self.assertEqual(result, expected) def test_parse_code_block(self): text = '```python\nprint("hello world")\n```' result = parse_md.parse_code_block(text) expected = '<pre><code>\nprint("hello world")\n</code></pre>' self.assertEqual(result, expected) def test_parse_code_block_with_multiple_lines(self): text = 'preceding text\n```python\nprint("hello world")\nmy_var = 123\n```\nmore text' result = parse_md.parse_code_block(text) expected = 'preceding text\n<pre><code>\nprint("hello world")\nmy_var = 123\n</code></pre>\nmore text' self.assertEqual(result, expected) def test_parse_multiple_code_blocks(self): text = '```python\nprint("hello world")\n```\nrandom text\n```python\nprint("hello world2")\n```' result = parse_md.parse_code_block(text) expected = '<pre><code>\nprint("hello world")\n</code></pre>\nrandom text\n<pre><code>\nprint("hello world2")\n</code></pre>' self.assertEqual(result, expected) def test_parse_p(self): text = 'this is a paragraph' result = parse_md.parse_p(text) expected = '<p>this is a paragraph</p>' self.assertEqual(result, expected) def test_parse_p_on_multiple_lines(self): text = 'this is a paragraph\nthis is another paragraph' result = parse_md.parse_p(text) expected = '<p>this is a paragraph</p>\n<p>this is another paragraph</p>' self.assertEqual(result, expected) def test_p_does_not_parse_inside_code_block(self): text = 'this should parse\n```\nthis should not parse\n```\nthis should also parse' result = parse_md.parse_p(text) expected = '<p>this should parse</p>\n```\nthis should not parse\n```\n<p>this should also parse</p>' self.assertEqual(result, expected) def test_p_does_not_parse_heading(self): text = 'this should parse\n# this should not parse\nthis should also parse' result = parse_md.parse_p(text) expected = '<p>this should parse</p>\n# this should not parse\n<p>this should also parse</p>' self.assertEqual(result, expected) @skip def test_p_does_not_parse_quote(self): text = 'this should parse\n> this should not parse\nthis should also parse' result = parse_md.parse_p(text) expected = '<p>this should parse</p>\n> this should not parse\n<p>this should also parse</p>' self.assertEqual(result, expected) self.fail('fix expected result') def test_p_does_not_parse_unordered_list(self): text = 'this should parse\n- this should not parse\nthis should also parse\n* this should not parse either' result = parse_md.parse_p(text) expected = '<p>this should parse</p>\n- this should not parse\n<p>this should also parse</p>\n* this should not parse either' self.assertEqual(result, expected) def test_p_does_not_parse_ordered_list(self): text = 'this should parse\n1. this should not parse\nthis should also parse\n12. this should not parse either' result = parse_md.parse_p(text) expected = '<p>this should parse</p>\n1. this should not parse\n<p>this should also parse</p>\n12. this should not parse either' self.assertEqual(result, expected) def test_clean_blank_lines(self): text = '<p>some text</p><p></p><p>some more text</p>' result = parse_md.clean_blank_lines(text) expected = '<p>some text</p><p>some more text</p>' self.assertEqual(result, expected) def test_clean_multiple_blank_lines(self): text = '<p></p><h1>some text</h1><p></p><p></p><p>some more text</p><p></p>' result = parse_md.clean_blank_lines(text) expected = '<h1>some text</h1><p>some more text</p>' self.assertEqual(result, expected) def test_parse_inline_code(self): text = 'this is a paragraph with `inline code`' result = parse_md.parse_inline_code(text) expected = 'this is a paragraph with <code>inline code</code>' self.assertEqual(result, expected) def test_parse_inline_code_does_not_parse_inside_code_block(self): text = '```\n`this should not parse`\n```' result = parse_md.parse_inline_code(text) expected = '```\n`this should not parse`\n```' self.assertEqual(result, expected) def test_parse_bold(self): text = 'this is a paragraph with **bold text**' result = parse_md.parse_bold(text) expected = 'this is a paragraph with <strong>bold text</strong>' self.assertEqual(result, expected) def test_parse_bold_does_not_parse_inside_code_block(self): text = '```\n**this should not parse**\n```' result = parse_md.parse_bold(text) expected = '```\n**this should not parse**\n```' self.assertEqual(result, expected) def test_parse_italic(self): text = 'this is a paragraph with *italic text*' result = parse_md.parse_italic(text) expected = 'this is a paragraph with <em>italic text</em>' self.assertEqual(result, expected) def test_parse_italic_does_not_parse_inside_code_block(self): text = '```\n*this should not parse*\n```' result = parse_md.parse_italic(text) expected = '```\n*this should not parse*\n```' self.assertEqual(result, expected) def test_parse_italic_does_not_parse_bold(self): text = 'this is a paragraph with **bold text**' result = parse_md.parse_italic(text) expected = 'this is a paragraph with **bold text**' self.assertEqual(result, expected) def test_parse_hr(self): text = 'this is a paragraph\n\n---\nmore text' result = parse_md.parse_hr(text) expected = 'this is a paragraph\n\n<hr>\nmore text' self.assertEqual(result, expected) def test_parse_hr_does_not_parse_inside_code_block(self): text = '```\n---\n```' result = parse_md.parse_hr(text) expected = '```\n---\n```' self.assertEqual(result, expected) def test_hr_does_not_parse_mid_paragraph(self): text = 'this --- should not parse' result = parse_md.parse_hr(text) expected = 'this --- should not parse' self.assertEqual(result, expected) def test_remove_hr_from_end(self): text = '<p>some text</p>\n---\n<p>some more text</p>\n---' result = parse_md.parse_hr(text) expected = '<p>some text</p>\n<hr>\n<p>some more text</p>\n' self.assertEqual(result, expected) def test_parse_ul(self): text = 'this is a paragraph\n- item 1\n- item 2\n- item 3\nmore text' result = parse_md.parse_ul(text) expected = 'this is a paragraph\n<ul>\n<li>item 1</li>\n<li>item 2</li>\n<li>item 3</li>\n'\ '</ul>\nmore text' self.assertEqual(result, expected) def test_parse_multiple_ul(self): text = 'this is a paragraph\n- item 1\n- item 2\nmore text before another list\n- item 3\n- item 4\n'\ 'more text after another list' result = parse_md.parse_ul(text) expected = 'this is a paragraph\n<ul>\n<li>item 1</li>\n<li>item 2</li>\n</ul>\n'\ 'more text before another list\n<ul>\n<li>item 3</li>\n<li>item 4</li>\n</ul>\n'\ 'more text after another list' self.assertEqual(result, expected) def test_parse_sub_ul(self): text = '- item 1\n\t- sub item 1\n\t- sub item 2\n- item 2\n\t- sub item 3' result = parse_md.parse_ul(text) expected = '<ul>\n<li>item 1</li>\n<ul>\n<li>sub item 1</li>\n<li>sub item 2</li>\n</ul>\n'\ '<li>item 2</li>\n<ul>\n<li>sub item 3</li>\n</ul>\n</ul>' self.assertEqual(result, expected) def test_parse_ol(self): text = 'this is a paragraph\n1. item 1\n2. item 2\n3. item 3\nmore text' result = parse_md.parse_ol(text) expected = 'this is a paragraph\n<ol>\n<li>item 1</li>\n<li>item 2</li>\n<li>item 3</li>\n'\ '</ol>\nmore text' self.assertEqual(result, expected) def test_parse_multiple_ol(self): text = 'this is a paragraph\n1. item 1\n2. item 2\nmore text before another list\n1. item 3\n'\ '2. item 4\nmore text after another list' result = parse_md.parse_ol(text) expected = 'this is a paragraph\n<ol>\n<li>item 1</li>\n<li>item 2</li>\n</ol>\n'\ 'more text before another list\n<ol>\n<li>item 3</li>\n<li>item 4</li>\n</ol>\n'\ 'more text after another list' self.assertEqual(result, expected) def test_replace_html_characters(self): text = 'this <code>should change to encoded symbols</code>' result = parse_md.replace_special_characters(text) expected = 'this <code>should change to encoded symbols</code>' self.assertEqual(result, expected) def test_parse_wiki_link(self): text = 'this links to the [[Functional tests]] note' result = parse_md.parse_wiki_links(text).replace('%20', ' ') expected = 'this links to the <a href="/notes/Test Driven Development with Python/'\ 'Functional tests/">Functional tests</a> note' self.assertEqual(result, expected) def test_parse_multiple_wiki_links(self): text = '[[Functional tests]] [[TDD workflow]]' result = parse_md.parse_wiki_links(text).replace('%20', ' ') expected = '<a href="/notes/Test Driven Development with Python/Functional tests/">Functional tests</a> '\ '<a href="/notes/Test Driven Development with Python/TDD workflow/">TDD workflow</a>' self.assertEqual(result, expected) def test_link_to_note_not_found_links_to_note_not_found_page(self): text = "this note [[doesn't exist]]" result = parse_md.parse_wiki_links(text) url = reverse('note_not_found', kwargs={'note_title': 'doesn\'t exist'}) expected = f"""this note <a href="{url}">doesn't exist</a>""" self.assertEqual(result, expected) def test_parse_wiki_link_alias(self): text = 'this note has an alias [[TDD workflow|alias name]]' result = parse_md.parse_wiki_links(text) url = reverse('note', kwargs={'note_title': 'TDD workflow', 'source_title': 'Test Driven Development with Python'}) expected = f'this note has an alias <a href="{url}">alias name</a>' self.assertEqual(result, expected) def test_parse_wiki_links_case_insensitive(self): text = "[[tdd workflow]]" result = parse_md.parse_wiki_links(text) expected_url = reverse('note', kwargs={'note_title': 'TDD workflow', 'source_title': 'Test Driven Development with Python'}) expected = f'<a href="{expected_url}">tdd workflow</a>' self.assertEqual(result, expected) def test_parse_wiki_links_does_not_parse_image_embeds(self): text = '![[an_image.png]]' result = parse_md.parse_wiki_links(text) expected = text self.assertEqual(result, expected) def test_parse_image_embed(self): text = 'some text\n![alt text](http://www.example.com/path/to/img.jpg)\nmore text' result = parse_md.parse_image(text) expected = 'some text\n<img src="http://www.example.com/path/to/img.jpg" alt="alt text">\nmore text' self.assertEqual(result, expected) def test_parse_multiple_image_embed(self): text = 'some text\n![alt text](http://www.example.com/path/to/img.jpg)\nmore text\n![alt text 2](http://www.example2.com/path/to/img2.jpg)' result = parse_md.parse_image(text) expected = 'some text\n<img src="http://www.example.com/path/to/img.jpg" alt="alt text">\nmore text\n'\ '<img src="http://www.example2.com/path/to/img2.jpg" alt="alt text 2">' self.assertEqual(result, expected) def test_parse_image_from_file_path(self): text = 'some text\n![tdd workflow](tdd-workflow.png)\nmore text' result = parse_md.parse_image(text) expected = 'some text\n<img src="/static/img/notes/tdd-workflow.png" '\ 'alt="tdd workflow">\nmore text' self.assertEqual(result, expected) @skip def test_parse_image_from_static_folder(self): self.fail() def test_parse_image_file_embed(self): text = "some text\n![[tdd-workflow.png]]" result = parse_md.parse_image(text) expected = 'some text\n<img src="/static/img/notes/tdd-workflow.png">' self.assertEqual(result, expected) def test_remove_note_type(self): text = 'Note type: #litnote\n\n---\nnote body' result = parse_md.remove_note_type(text) expected = '\n\n---\nnote body' self.assertEqual(result, expected) def test_remove_permanotes(self): text = 'some text\n### See also\n- [[TDD workflow]]\n\n'\ '### permanotes\n- [[another note]]' result = parse_md.remove_permanotes(text) expected = 'some text\n### See also\n- [[TDD workflow]]' self.assertEqual(result, expected) def test_remove_frontmatter(self): text = '---\naliases: []\nDate: 2022-02-09\n---\n# note title\ntext' result = parse_md.remove_frontmatter(text) expected = '# note title\ntext' self.assertEqual(result, expected) def test_remove_frontmatter_does_not_remove_note_body(self): text = 'note type: #litnote\n---\n# heading\ntext\n\n---\n# see also\n- [[another note]]' result = parse_md.remove_frontmatter(text) expected = text self.assertEqual(result, expected) def test_parse_inline_tex(self): text = 'some text that has inline tex $a+b=2^c$' result = parse_md.parse_inline_tex(text) expected = 'some text that has inline tex $a+b=2^c$' self.assertEqual(result, expected) def test_parse_inline_tex_does_not_parse_tex_block(self): text = 'should not parse tex block\n\n$$a+b=2^c$$' result = parse_md.parse_inline_tex(text) expected = text self.assertEqual(result, expected) def test_remove_br(self): text = 'some text\n\n<br>\nmore text' result = parse_md.remove_br(text) expected = 'some text\n\n\nmore text' self.assertEqual(result, expected)

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147

0.647459

3,472

24,573

4.397753

0.052419

0.038051

0.069815

0.15574

0.905167

0.871242

0.838431

0.760299

0.684

0.634554

0

0.011844

0.216579

24,573

525

148

46.805714

0.78131

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0.384227

0.033816

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1

0.189066

false

0

0.009112

0

0.200456

0.013667

0

null

0

1

0

1

0

null

0

5

7962aec9d493497abe0f2162b875a761e985511f

349

py

Python

tests/utils.py

File5/lcdui

cb91c8659b7c0ffe663cf9961272d94a3a223c28

[ "MIT" ]

null

tests/utils.py

File5/lcdui

cb91c8659b7c0ffe663cf9961272d94a3a223c28

[ "MIT" ]

null

tests/utils.py

File5/lcdui

cb91c8659b7c0ffe663cf9961272d94a3a223c28

[ "MIT" ]

null

from lcdui.utils import ensure_line_count def test_ensure_line_count(): assert ensure_line_count([''], 4) == [''] * 4 assert ensure_line_count(['a', 'b', 'c'], 4) == ['a', 'b', 'c', ''] assert ensure_line_count([''] * 10, 4) == [''] * 4 assert ensure_line_count( [i for i in 'abcdef'] * 10, 4 ) == ['a', 'b', 'c', 'd']

31.727273

71

0.535817

51

349

3.411765

0.392157

0.344828

0.517241

0.482759

0.264368

0

0.0369

0.223496

349

10

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34.9

0.605166

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0.045845

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0.5

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0.125

true

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0.125

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0.25

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null

1

0

null

0

1

0

1

0

5

798829c3d1ff007834accb4d5f5e36348c87519e

173

py

Python

preprocessors/preprocessor.py

TheLocust3/FRC-Field-Vision-System

356243de64279d76ed18a43393d124493f82d7a1

[ "MIT" ]

1

2017-01-12T15:04:38.000Z

preprocessors/preprocessor.py

TheLocust3/FRC-Field-Vision-System

356243de64279d76ed18a43393d124493f82d7a1

[ "MIT" ]

null

preprocessors/preprocessor.py

TheLocust3/FRC-Field-Vision-System

356243de64279d76ed18a43393d124493f82d7a1

[ "MIT" ]

null

from abc import ABCMeta, abstractmethod class Preprocessor(object): __metaclass__ = ABCMeta @abstractmethod def preprocess_image(self, image): pass

21.625

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173

8

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21.625

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false

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null

0

1

0

1

0

5

79c8599322e89c0495da273f8c2b48d8e82ff5b7

20,038

py

Python

safenet/authenticator.py

DuncanKushnir/pySafe

b47c234f5333566027c8981054747d2587a673fe

[ "MIT" ]

null

safenet/authenticator.py

DuncanKushnir/pySafe

b47c234f5333566027c8981054747d2587a673fe

[ "MIT" ]

null

safenet/authenticator.py

DuncanKushnir/pySafe

b47c234f5333566027c8981054747d2587a673fe

[ "MIT" ]

null

import safenet.safeUtils as safeUtils import queue appQueue = queue.Queue() class lib: def __init__(self,authlib,applib,fromBytes=None): self.safe_authenticator = authlib self.safe_app = applib class authenticator: def __init__(self,authlib,applib): self.lib = lib(authlib,applib) @safeUtils.safeThread(timeout=5,queue=appQueue) def _auth_init_logging(self, output_file_name_override, user_data, o_cb=None): """ bytes, [any], [function], [custom ffi lib] char* output_file_name_override, void* user_data > callback functions: (*o_cb)(void* user_data, FfiResult* result) """ @ffi.callback("void(void* ,FfiResult*)") def _auth_init_logging_o_cb(user_data ,result): self.safeUtils.checkResult(result) appQueue.put('gotResult') if o_cb: o_cb(user_data ,result) self.lib.safe_app.auth_init_logging(output_file_name_override, user_data, _auth_init_logging_o_cb) @safeUtils.safeThread(timeout=5,queue=appQueue) def _auth_output_log_path(self, output_file_name, user_data, o_cb=None): """ bytes, [any], [function], [custom ffi lib] char* output_file_name, void* user_data > callback functions: (*o_cb)(void* user_data, FfiResult* result, char* log_path) """ @ffi.callback("void(void* ,FfiResult* ,char*)") def _auth_output_log_path_o_cb(user_data ,result ,log_path): self.safeUtils.checkResult(result) appQueue.put('gotResult') if o_cb: o_cb(user_data ,result ,log_path) self.lib.safe_app.auth_output_log_path(output_file_name, user_data, _auth_output_log_path_o_cb) @safeUtils.safeThread(timeout=5,queue=appQueue) def _create_acc(self, account_locator, account_password, invitation, user_data, o_disconnect_notifier_cb=None, o_cb=None): """ bytes, bytes, bytes, [any], [function], [function], [custom ffi lib] char* account_locator, char* account_password, char* invitation, void* user_data > callback functions: (*o_disconnect_notifier_cb)(void* user_data) (*o_cb)(void* user_data, FfiResult* result, Authenticator* authenticator) """ @ffi.callback("void(void*)") def _create_acc_o_disconnect_notifier_cb(user_data): appQueue.put('gotResult') if o_disconnect_notifier_cb: o_disconnect_notifier_cb(user_data) @ffi.callback("void(void* ,FfiResult* ,Authenticator*)") def _create_acc_o_cb(user_data ,result ,authenticator): self.safeUtils.checkResult(result) appQueue.put('gotResult') if o_cb: o_cb(user_data ,result ,authenticator) self.lib.safe_app.create_acc(account_locator, account_password, invitation, user_data, _create_acc_o_disconnect_notifier_cb, _create_acc_o_cb) @safeUtils.safeThread(timeout=5,queue=appQueue) def _login(self, account_locator, account_password, user_data, o_disconnect_notifier_cb=None, o_cb=None): """ bytes, bytes, [any], [function], [function], [custom ffi lib] char* account_locator, char* account_password, void* user_data > callback functions: (*o_disconnect_notifier_cb)(void* user_data) (*o_cb)(void* user_data, FfiResult* result, Authenticator* authenticaor) """ @ffi.callback("void(void*)") def _login_o_disconnect_notifier_cb(user_data): appQueue.put('gotResult') if o_disconnect_notifier_cb: o_disconnect_notifier_cb(user_data) @ffi.callback("void(void* ,FfiResult* ,Authenticator*)") def _login_o_cb(user_data ,result ,authenticaor): self.safeUtils.checkResult(result) appQueue.put('gotResult') if o_cb: o_cb(user_data ,result ,authenticaor) self.lib.safe_app.login(account_locator, account_password, user_data, _login_o_disconnect_notifier_cb, _login_o_cb) @safeUtils.safeThread(timeout=5,queue=appQueue) def _auth_reconnect(self, auth, user_data, o_cb=None): """ Authenticator*, [any], [function], [custom ffi lib] Authenticator* auth, void* user_data > callback functions: (*o_cb)(void* user_data, FfiResult* result) """ @ffi.callback("void(void* ,FfiResult*)") def _auth_reconnect_o_cb(user_data ,result): self.safeUtils.checkResult(result) appQueue.put('gotResult') if o_cb: o_cb(user_data ,result) self.lib.safe_app.auth_reconnect(auth, user_data, _auth_reconnect_o_cb) @safeUtils.safeThread(timeout=5,queue=appQueue) def _auth_account_info(self, auth, user_data, o_cb=None): """ Authenticator*, [any], [function], [custom ffi lib] Authenticator* auth, void* user_data > callback functions: (*o_cb)(void* user_data, FfiResult* result, AccountInfo* account_info) """ @ffi.callback("void(void* ,FfiResult* ,AccountInfo*)") def _auth_account_info_o_cb(user_data ,result ,account_info): self.safeUtils.checkResult(result) appQueue.put('gotResult') if o_cb: o_cb(user_data ,result ,account_info) self.lib.safe_app.auth_account_info(auth, user_data, _auth_account_info_o_cb) @safeUtils.safeThread(timeout=5,queue=appQueue) def _auth_exe_file_stem(self, user_data, o_cb=None): """ [any], [function], [custom ffi lib] void* user_data > callback functions: (*o_cb)(void* user_data, FfiResult* result, char* filename) """ @ffi.callback("void(void* ,FfiResult* ,char*)") def _auth_exe_file_stem_o_cb(user_data ,result ,filename): self.safeUtils.checkResult(result) appQueue.put('gotResult') if o_cb: o_cb(user_data ,result ,filename) self.lib.safe_app.auth_exe_file_stem(user_data, _auth_exe_file_stem_o_cb) @safeUtils.safeThread(timeout=5,queue=appQueue) def _auth_set_additional_search_path(self, new_path, user_data, o_cb=None): """ bytes, [any], [function], [custom ffi lib] char* new_path, void* user_data > callback functions: (*o_cb)(void* user_data, FfiResult* result) """ @ffi.callback("void(void* ,FfiResult*)") def _auth_set_additional_search_path_o_cb(user_data ,result): self.safeUtils.checkResult(result) appQueue.put('gotResult') if o_cb: o_cb(user_data ,result) self.lib.safe_app.auth_set_additional_search_path(new_path, user_data, _auth_set_additional_search_path_o_cb) @safeUtils.safeThread(timeout=5,queue=appQueue) def _auth_free(self, auth): """ Authenticator*, [custom ffi lib] Authenticator* auth > callback functions: """ self.lib.safe_app.auth_free(auth) @safeUtils.safeThread(timeout=5,queue=appQueue) def _auth_unregistered_decode_ipc_msg(self, msg, user_data, o_unregistered=None, o_err=None): """ bytes, [any], [function], [function], [custom ffi lib] char* msg, void* user_data > callback functions: (*o_unregistered)(void* user_data, uint32_t req_id, uint8_t* extra_data, uintptr_t extra_data_len) (*o_err)(void* user_data, FfiResult* result, char* response) """ @ffi.callback("void(void* ,uint32_t ,uint8_t* ,uintptr_t)") def _auth_unregistered_decode_ipc_msg_o_unregistered(user_data ,req_id ,extra_data ,extra_data_len): appQueue.put('gotResult') if o_unregistered: o_unregistered(user_data ,req_id ,extra_data ,extra_data_len) @ffi.callback("void(void* ,FfiResult* ,char*)") def _auth_unregistered_decode_ipc_msg_o_err(user_data ,result ,response): self.safeUtils.checkResult(result) appQueue.put('gotResult') if o_err: o_err(user_data ,result ,response) self.lib.safe_app.auth_unregistered_decode_ipc_msg(msg, user_data, _auth_unregistered_decode_ipc_msg_o_unregistered, _auth_unregistered_decode_ipc_msg_o_err) @safeUtils.safeThread(timeout=5,queue=appQueue) def _auth_decode_ipc_msg(self, auth, msg, user_data, o_auth=None, o_containers=None, o_unregistered=None, o_share_mdata=None, o_err=None): """ Authenticator*, bytes, [any], [function], [function], [function], [function], [function], [custom ffi lib] Authenticator* auth, char* msg, void* user_data > callback functions: (*o_auth)(void* user_data, uint32_t req_id, AuthReq* req) (*o_containers)(void* user_data, uint32_t req_id, ContainersReq* req) (*o_unregistered)(void* user_data, uint32_t req_id, uint8_t* extra_data, uintptr_t extra_data_len) (*o_share_mdata)(void* user_data, uint32_t req_id, ShareMDataReq* req, MetadataResponse* metadata, uintptr_t metadata_len) (*o_err)(void* user_data, FfiResult* result, char* response) """ @ffi.callback("void(void* ,uint32_t ,AuthReq*)") def _auth_decode_ipc_msg_o_auth(user_data ,req_id ,req): appQueue.put('gotResult') if o_auth: o_auth(user_data ,req_id ,req) @ffi.callback("void(void* ,uint32_t ,ContainersReq*)") def _auth_decode_ipc_msg_o_containers(user_data ,req_id ,req): appQueue.put('gotResult') if o_containers: o_containers(user_data ,req_id ,req) @ffi.callback("void(void* ,uint32_t ,uint8_t* ,uintptr_t)") def _auth_decode_ipc_msg_o_unregistered(user_data ,req_id ,extra_data ,extra_data_len): appQueue.put('gotResult') if o_unregistered: o_unregistered(user_data ,req_id ,extra_data ,extra_data_len) @ffi.callback("void(void* ,uint32_t ,ShareMDataReq* ,MetadataResponse* ,uintptr_t)") def _auth_decode_ipc_msg_o_share_mdata(user_data ,req_id ,req ,metadata ,metadata_len): appQueue.put('gotResult') if o_share_mdata: o_share_mdata(user_data ,req_id ,req ,metadata ,metadata_len) @ffi.callback("void(void* ,FfiResult* ,char*)") def _auth_decode_ipc_msg_o_err(user_data ,result ,response): self.safeUtils.checkResult(result) appQueue.put('gotResult') if o_err: o_err(user_data ,result ,response) self.lib.safe_app.auth_decode_ipc_msg(auth, msg, user_data, _auth_decode_ipc_msg_o_auth, _auth_decode_ipc_msg_o_containers, _auth_decode_ipc_msg_o_unregistered, _auth_decode_ipc_msg_o_share_mdata, _auth_decode_ipc_msg_o_err) @safeUtils.safeThread(timeout=5,queue=appQueue) def _encode_share_mdata_resp(self, auth, req, req_id, is_granted, user_data, o_cb=None): """ Authenticator*, ShareMDataReq*, uint32_t, _Bool, [any], [function], [custom ffi lib] Authenticator* auth, ShareMDataReq* req, uint32_t req_id, _Bool is_granted, void* user_data > callback functions: (*o_cb)(void* user_data, FfiResult* result, char* response) """ @ffi.callback("void(void* ,FfiResult* ,char*)") def _encode_share_mdata_resp_o_cb(user_data ,result ,response): self.safeUtils.checkResult(result) appQueue.put('gotResult') if o_cb: o_cb(user_data ,result ,response) self.lib.safe_app.encode_share_mdata_resp(auth, req, req_id, is_granted, user_data, _encode_share_mdata_resp_o_cb) @safeUtils.safeThread(timeout=5,queue=appQueue) def _auth_revoke_app(self, auth, app_id, user_data, o_cb=None): """ Authenticator*, bytes, [any], [function], [custom ffi lib] Authenticator* auth, char* app_id, void* user_data > callback functions: (*o_cb)(void* user_data, FfiResult* result, char* response) """ @ffi.callback("void(void* ,FfiResult* ,char*)") def _auth_revoke_app_o_cb(user_data ,result ,response): self.safeUtils.checkResult(result) appQueue.put('gotResult') if o_cb: o_cb(user_data ,result ,response) self.lib.safe_app.auth_revoke_app(auth, app_id, user_data, _auth_revoke_app_o_cb) @safeUtils.safeThread(timeout=5,queue=appQueue) def _auth_flush_app_revocation_queue(self, auth, user_data, o_cb=None): """ Authenticator*, [any], [function], [custom ffi lib] Authenticator* auth, void* user_data > callback functions: (*o_cb)(void* user_data, FfiResult* result) """ @ffi.callback("void(void* ,FfiResult*)") def _auth_flush_app_revocation_queue_o_cb(user_data ,result): self.safeUtils.checkResult(result) appQueue.put('gotResult') if o_cb: o_cb(user_data ,result) self.lib.safe_app.auth_flush_app_revocation_queue(auth, user_data, _auth_flush_app_revocation_queue_o_cb) @safeUtils.safeThread(timeout=5,queue=appQueue) def _encode_unregistered_resp(self, req_id, is_granted, user_data, o_cb=None): """ uint32_t, _Bool, [any], [function], [custom ffi lib] uint32_t req_id, _Bool is_granted, void* user_data > callback functions: (*o_cb)(void* user_data, FfiResult* result, char* response) """ @ffi.callback("void(void* ,FfiResult* ,char*)") def _encode_unregistered_resp_o_cb(user_data ,result ,response): self.safeUtils.checkResult(result) appQueue.put('gotResult') if o_cb: o_cb(user_data ,result ,response) self.lib.safe_app.encode_unregistered_resp(req_id, is_granted, user_data, _encode_unregistered_resp_o_cb) @safeUtils.safeThread(timeout=5,queue=appQueue) def _encode_auth_resp(self, auth, req, req_id, is_granted, user_data, o_cb=None): """ Authenticator*, AuthReq*, uint32_t, _Bool, [any], [function], [custom ffi lib] Authenticator* auth, AuthReq* req, uint32_t req_id, _Bool is_granted, void* user_data > callback functions: (*o_cb)(void* user_data, FfiResult* result, char* response) """ @ffi.callback("void(void* ,FfiResult* ,char*)") def _encode_auth_resp_o_cb(user_data ,result ,response): self.safeUtils.checkResult(result) appQueue.put('gotResult') if o_cb: o_cb(user_data ,result ,response) self.lib.safe_app.encode_auth_resp(auth, req, req_id, is_granted, user_data, _encode_auth_resp_o_cb) @safeUtils.safeThread(timeout=5,queue=appQueue) def _encode_containers_resp(self, auth, req, req_id, is_granted, user_data, o_cb=None): """ Authenticator*, ContainersReq*, uint32_t, _Bool, [any], [function], [custom ffi lib] Authenticator* auth, ContainersReq* req, uint32_t req_id, _Bool is_granted, void* user_data > callback functions: (*o_cb)(void* user_data, FfiResult* result, char* response) """ @ffi.callback("void(void* ,FfiResult* ,char*)") def _encode_containers_resp_o_cb(user_data ,result ,response): self.safeUtils.checkResult(result) appQueue.put('gotResult') if o_cb: o_cb(user_data ,result ,response) self.lib.safe_app.encode_containers_resp(auth, req, req_id, is_granted, user_data, _encode_containers_resp_o_cb) @safeUtils.safeThread(timeout=5,queue=appQueue) def _auth_rm_revoked_app(self, auth, app_id, user_data, o_cb=None): """ Authenticator*, bytes, [any], [function], [custom ffi lib] Authenticator* auth, char* app_id, void* user_data > callback functions: (*o_cb)(void* user_data, FfiResult* result) """ @ffi.callback("void(void* ,FfiResult*)") def _auth_rm_revoked_app_o_cb(user_data ,result): self.safeUtils.checkResult(result) appQueue.put('gotResult') if o_cb: o_cb(user_data ,result) self.lib.safe_app.auth_rm_revoked_app(auth, app_id, user_data, _auth_rm_revoked_app_o_cb) @safeUtils.safeThread(timeout=5,queue=appQueue) def _auth_revoked_apps(self, auth, user_data, o_cb=None): """ Authenticator*, [any], [function], [custom ffi lib] Authenticator* auth, void* user_data > callback functions: (*o_cb)(void* user_data, FfiResult* result, AppExchangeInfo* app_exchange_info, uintptr_t app_exchange_info_len) """ @ffi.callback("void(void* ,FfiResult* ,AppExchangeInfo* ,uintptr_t)") def _auth_revoked_apps_o_cb(user_data ,result ,app_exchange_info ,app_exchange_info_len): self.safeUtils.checkResult(result) appQueue.put('gotResult') if o_cb: o_cb(user_data ,result ,app_exchange_info ,app_exchange_info_len) self.lib.safe_app.auth_revoked_apps(auth, user_data, _auth_revoked_apps_o_cb) @safeUtils.safeThread(timeout=5,queue=appQueue) def _auth_registered_apps(self, auth, user_data, o_cb=None): """ Authenticator*, [any], [function], [custom ffi lib] Authenticator* auth, void* user_data > callback functions: (*o_cb)(void* user_data, FfiResult* result, RegisteredApp* registered_app, uintptr_t registered_app_len) """ @ffi.callback("void(void* ,FfiResult* ,RegisteredApp* ,uintptr_t)") def _auth_registered_apps_o_cb(user_data ,result ,registered_app ,registered_app_len): self.safeUtils.checkResult(result) appQueue.put('gotResult') if o_cb: o_cb(user_data ,result ,registered_app ,registered_app_len) self.lib.safe_app.auth_registered_apps(auth, user_data, _auth_registered_apps_o_cb) @safeUtils.safeThread(timeout=5,queue=appQueue) def _auth_apps_accessing_mutable_data(self, auth, md_name, md_type_tag, user_data, o_cb=None): """ Authenticator*, XorNameArray*, uint64_t, [any], [function], [custom ffi lib] Authenticator* auth, XorNameArray* md_name, uint64_t md_type_tag, void* user_data > callback functions: (*o_cb)(void* user_data, FfiResult* result, AppAccess* app_access, uintptr_t app_access_len) """ @ffi.callback("void(void* ,FfiResult* ,AppAccess* ,uintptr_t)") def _auth_apps_accessing_mutable_data_o_cb(user_data ,result ,app_access ,app_access_len): self.safeUtils.checkResult(result) appQueue.put('gotResult') if o_cb: o_cb(user_data ,result ,app_access ,app_access_len) self.lib.safe_app.auth_apps_accessing_mutable_data(auth, md_name, md_type_tag, user_data, _auth_apps_accessing_mutable_data_o_cb)

39.996008

232

0.628206

2,434

20,038

4.796631

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null

0

1

0

5

79d08538d1a467d535ccf05336ae83f888b64555

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py

Python

github/content/__init__.py

NCPlayz/github

f95a3f622c82f4b19b67468bde715c0de5bcedb6

[ "Apache-2.0" ]

17

2019-10-27T00:30:11.000Z

2021-03-24T09:28:07.000Z

github/content/__init__.py

NCPlayz/github

f95a3f622c82f4b19b67468bde715c0de5bcedb6

[ "Apache-2.0" ]

7

2019-07-24T04:43:12.000Z

2020-08-19T19:27:24.000Z

github/content/__init__.py

NCPlayz/github

f95a3f622c82f4b19b67468bde715c0de5bcedb6

[ "Apache-2.0" ]

6

2019-07-22T09:09:59.000Z

2020-12-19T05:36:30.000Z

from github.content.codeofconduct import * from github.content.codeofconduct import __all__ as _codeofconduct__all__ __all__ = [ *_codeofconduct__all__, ]

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null

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79deb60e0185188c157266b9a5da6aafcb6085e3

222

py

Python

config.py

SJSUSpring21/Team14

37394e309dbaef6fcd6df4ee7162d1ffa0690923

[ "MIT" ]

9

2020-07-28T19:59:46.000Z

2021-12-16T07:14:12.000Z

config.py

SJSUSpring21/Team14

37394e309dbaef6fcd6df4ee7162d1ffa0690923

[ "MIT" ]

10

2020-05-17T06:23:39.000Z

2022-02-10T01:53:06.000Z

config.py

imdreamer2018/privacy-preserving-for-face-recognition

be7dde549c7a168085d89b17635ad8bdd375e04b

[ "MIT" ]

null

#create directory path to store face images faceImagesPath = 'faceImages' #create directory path to store face metadata and embedded faceData = 'faceData' #create directory path to store trained weights weights = 'weights'

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1

0

1

0

null

0

5

8de7cffab22776a817ad1d29d8bb3b9938ae98b3

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py

Python

runmain.py

emillynge/pyangular

edcf1519a1e1bf39779d9ecd0649513c3a613cbd

[ "Apache-2.0" ]

null

runmain.py

emillynge/pyangular

edcf1519a1e1bf39779d9ecd0649513c3a613cbd

[ "Apache-2.0" ]

null

runmain.py

emillynge/pyangular

edcf1519a1e1bf39779d9ecd0649513c3a613cbd

[ "Apache-2.0" ]

null

import backend backend.main('-e', 'test')

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1

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1

0

5

8ded79eb0bcb9ed2af1e6dc87ddceff8e6f1ad4d

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py

Python

bdateutil/easter.py

coder6464/python-bdateutil

0769da9df8b5130a3af9878d81d6bca2fc615574

[ "MIT" ]

4

2018-06-04T15:33:28.000Z

2021-07-05T10:39:50.000Z

bdateutil/easter.py

coder6464/python-bdateutil

0769da9df8b5130a3af9878d81d6bca2fc615574

[ "MIT" ]

1

2020-08-11T11:56:06.000Z

bdateutil/easter.py

coder6464/python-bdateutil

0769da9df8b5130a3af9878d81d6bca2fc615574

[ "MIT" ]

6

2018-08-10T12:47:24.000Z

2021-08-10T10:59:17.000Z

from dateutil.easter import *

15

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0.923077

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5c41d8e62904697f3544d7e77f78122dc7b5d70a

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py

Python

sysopt/backends/casadi/__init__.py

csp-at-unimelb/sysopt

f33653623e19d9fff3bae279210de8fac6c67b42

[ "Apache-2.0" ]

null

sysopt/backends/casadi/__init__.py

csp-at-unimelb/sysopt

f33653623e19d9fff3bae279210de8fac6c67b42

[ "Apache-2.0" ]

null

sysopt/backends/casadi/__init__.py

csp-at-unimelb/sysopt

f33653623e19d9fff3bae279210de8fac6c67b42

[ "Apache-2.0" ]

1

2022-03-09T03:59:49.000Z

"""Casadi Backend Implementation.""" import casadi as _casadi from sysopt.backends.casadi.expression_graph import lambdify from sysopt.backends.casadi.solvers import Integrator, InterpolatedPath epsilon = 1e-9 def sparse_matrix(shape): return _casadi.SX(*shape) def list_symbols(expr) -> set: return set(_casadi.symvar(expr))

21.25

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null

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1

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5

3082b8acaff549dfc7862d81f6e565e154a271af

315

py

Python

flexinfer/postprocess/obj_det/converters/__init__.py

rriyaldhi/flexinfer

523b9bf49226001c0477a3635ffe9071387ae788

[ "Apache-2.0" ]

81

2020-06-17T07:46:19.000Z

2022-03-29T23:29:33.000Z

flexinfer/postprocess/obj_det/converters/__init__.py

rriyaldhi/flexinfer

523b9bf49226001c0477a3635ffe9071387ae788

[ "Apache-2.0" ]

1

2020-07-02T08:14:49.000Z

2020-07-20T11:34:30.000Z

flexinfer/postprocess/obj_det/converters/__init__.py

rriyaldhi/flexinfer

523b9bf49226001c0477a3635ffe9071387ae788

[ "Apache-2.0" ]

20

2020-06-29T01:30:44.000Z

2022-03-23T09:47:41.000Z

from .bbox_anchor_converter import BBoxAnchorConverter from .builder import build_converter from .point_anchor_converter import PointAnchorConverter from .iou_bbox_anchor_converter import IoUBBoxAnchorConverter __all__ = ['BBoxAnchorConverter', 'PointAnchorConverter', 'build_converter', 'IoUBBoxAnchorConverter']

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null

0

1

0

1

0

5

30876d806a6a87e12d968cfa1cb7e800359fda0d

196

py

Python

projects/MEDIUM/ATS-parse-emit/Python/prelude/CATS/bool_cats.py

steinwaywhw/ATS-Postiats-contrib

6e5268649a3b91158445cb665d9102f1ee1cdfbf

[ "MIT" ]

null

projects/MEDIUM/ATS-parse-emit/Python/prelude/CATS/bool_cats.py

steinwaywhw/ATS-Postiats-contrib

6e5268649a3b91158445cb665d9102f1ee1cdfbf

[ "MIT" ]

null

projects/MEDIUM/ATS-parse-emit/Python/prelude/CATS/bool_cats.py

steinwaywhw/ATS-Postiats-contrib

6e5268649a3b91158445cb665d9102f1ee1cdfbf

[ "MIT" ]

null

# # for Python code translated from ATS # ###### beg of [bool_cats.py] ###### ###################################### ###################################### ###### end of [bool_cats.py] ######

16.333333

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null

0

1

0

1

0

null

0

1

0

5

308fbb0787ec5369aa360ccaa6627392c5a99cf1

1,263

py

Python

paco/constant.py

lmicra/paco

1e5ef4df317e7cbbcefdf67d8dee28ce90538f3d

[ "MIT" ]

208

2016-10-24T13:17:08.000Z

2022-03-12T05:39:21.000Z

paco/constant.py

lmicra/paco

1e5ef4df317e7cbbcefdf67d8dee28ce90538f3d

[ "MIT" ]

39

2016-10-24T10:40:21.000Z

2020-04-22T16:17:51.000Z

paco/constant.py

lmicra/paco

1e5ef4df317e7cbbcefdf67d8dee28ce90538f3d

[ "MIT" ]

14

2016-11-29T11:37:34.000Z

2021-09-30T12:27:00.000Z

# -*- coding: utf-8 -*- import asyncio def constant(value, delay=None): """ Returns a coroutine function that when called, always returns the provided value. This function has an alias: `paco.identity`. Arguments: value (mixed): value to constantly return when coroutine is called. delay (int/float): optional return value delay in seconds. Returns: coroutinefunction Usage:: coro = paco.constant('foo') await coro() # => 'foo' await coro() # => 'foo' """ @asyncio.coroutine def coro(): if delay: yield from asyncio.sleep(delay) return value return coro def identity(value, delay=None): """ Returns a coroutine function that when called, always returns the provided value. This function is an alias to `paco.constant`. Arguments: value (mixed): value to constantly return when coroutine is called. delay (int/float): optional return value delay in seconds. Returns: coroutinefunction Usage:: coro = paco.identity('foo') await coro() # => 'foo' await coro() # => 'foo' """ return constant(value, delay=delay)

20.047619

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1

0

null

0

1

0

1

0

5

30bd8f2ae743fda9a5416144b08c5395b651b93b

68

py

Python

examples/absolute-import-rewrite/hello/hello/__init__.py

olsonpm/python-vendorize

10f992177c21bcef7da213e8605d8e070a202e88

[ "BSD-2-Clause" ]

38

2016-06-16T03:18:06.000Z

2022-02-02T00:06:02.000Z

examples/absolute-import-rewrite/hello/hello/__init__.py

olsonpm/python-vendorize

10f992177c21bcef7da213e8605d8e070a202e88

[ "BSD-2-Clause" ]

14

2018-02-17T10:46:18.000Z

2021-11-20T16:30:23.000Z

examples/absolute-import-rewrite/hello/hello/__init__.py

olsonpm/python-vendorize

10f992177c21bcef7da213e8605d8e070a202e88

[ "BSD-2-Clause" ]

4

2019-05-12T15:38:39.000Z

2021-07-11T09:48:07.000Z

from hello.messages import message def hello(): print(message)

13.6

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68

5.555556

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1

0

5

30d8f9b843eca7439f796d6303454303f72ac99e

1,963

py

Python

mmdet/datasets/pipelines/dct_channel_index.py

vinnibuh/mmdetection

b8a6adbc0ea44976feabcd7d4e85bd7655a49474

[ "Apache-2.0" ]

null

mmdet/datasets/pipelines/dct_channel_index.py

vinnibuh/mmdetection

b8a6adbc0ea44976feabcd7d4e85bd7655a49474

[ "Apache-2.0" ]

null

mmdet/datasets/pipelines/dct_channel_index.py

vinnibuh/mmdetection

b8a6adbc0ea44976feabcd7d4e85bd7655a49474

[ "Apache-2.0" ]

null

dct_channel_index = { 24: [ [0, 1, 2, 3, 8, 9, 10, 11, 16, 17, 18, 19, 24, 25, 26, 27], [0, 1, 8, 9], [0, 1, 8, 9] ], 32: [ [0, 1, 2, 3, 4, 8, 9, 10, 11, 12, 16, 17, 18, 19, 20, 24, 25, 26, 27, 32, 33, 34], [0, 1, 2, 8, 9], [0, 1, 2, 8, 9] ], 48: [ [0, 1, 2, 3, 4, 5, 8, 9, 10, 11, 12, 13, 16, 17, 18, 19, 20, 21, 24, 25, 26, 27, 28, 29, 32, 33, 34, 35, 40, 41, 42, 43], [0, 1, 2, 8, 9, 10, 16, 17], [0, 1, 2, 8, 9, 10, 16, 17] ], 64: [ [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18, 19, 20, 21, 24, 25, 26, 27, 28, 29, 32, 33, 34, 35, 36, 37, 40, 41, 42, 43, 44, 45, 48, 49, 50, 51, 52, 53], [0, 1, 2, 8, 9, 10, 16, 17, 24, 25], [0, 1, 2, 8, 9, 10, 16, 17, 24, 25], ], 128: [ [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63], [0, 1, 2, 3, 4, 5, 8, 9, 10, 11, 12, 13, 16, 17, 18, 19, 20, 21, 24, 25, 26, 27, 28, 29, 32, 33, 34, 35, 40, 41, 42, 43], [0, 1, 2, 3, 4, 5, 8, 9, 10, 11, 12, 13, 16, 17, 18, 19, 20, 21, 24, 25, 26, 27, 28, 29, 32, 33, 34, 35, 40, 41, 42, 43] ] }

23.939024

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1

0

null

0

5

30f9f54b9bba7e4942a9e4da1e620734394c483e

1,204

py

Python

PyVersion/PeriodicVersion/dataAnalysisTest.py

levondov/FTR_Adjoint

fccb7f43aec7dfce76dcabf693e5b673aa8adb53

[ "MIT" ]

null

PyVersion/PeriodicVersion/dataAnalysisTest.py

levondov/FTR_Adjoint

fccb7f43aec7dfce76dcabf693e5b673aa8adb53

[ "MIT" ]

null

PyVersion/PeriodicVersion/dataAnalysisTest.py

levondov/FTR_Adjoint

fccb7f43aec7dfce76dcabf693e5b673aa8adb53

[ "MIT" ]

null

from gd_adj_match_1var_functions import RunMoments,getLattice,Initial_conditions from analysis_util import * if 0: dt = LoadData('test') period = 5 lat,_ = getLattice(dt[0][0,:],period) z,y,m,k = RunMoments(lat,Initial_conditions()) fig,ax=plt.subplots() #PlotMoments(z,y,k,fig,ax,linestyles=['--','--']) lat,_ = getLattice(dt[0][-1,:],period) z,y,m,k = RunMoments(lat,Initial_conditions()) PlotMoments(z,y,k,fig,ax) plt.figure() plt.plot(np.log10(dt[1]/dt[1][1,0]),marker='.') plt.ylabel('$log( FoM/FoM_0 )$') plt.xlabel('Iterations (kind of)') plt.title('FoM vs Iterations') plt.grid(True) else: dt = LoadData('testx2') period = 5 lat,_ = getLattice(dt[0],period) z,y,m,k = RunMoments(lat,dt[1][0,:]) fig,ax=plt.subplots() PlotMoments(z,y,k,fig,ax,linestyles=['--','--']) lat,_ = getLattice(dt[0],period) z,y,m,k = RunMoments(lat,dt[1][-1,:]) PlotMoments(z,y,k,fig,ax) plt.figure() plt.plot(np.log10(dt[2]/dt[2][1,0]),marker='.') plt.ylabel('$log( FoM/FoM_0 )$') plt.xlabel('Iterations (kind of)') plt.title('FoM vs Iterations') plt.grid(True) plt.show() plt.show()

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null

0

1

0

null

0

5

a503c2325da2fa0823cb72cfa2206b9b80c5353c

214

py

Python

dffml/skel/service/setup.py

Patil2099/dffml

9310c1ad55a7339e5d15786d4b9d890283f52ec2

[ "MIT" ]

null

dffml/skel/service/setup.py

Patil2099/dffml

9310c1ad55a7339e5d15786d4b9d890283f52ec2

[ "MIT" ]

1

2019-10-17T17:34:14.000Z

dffml/skel/service/setup.py

raghav-ys/dffml

2a23f55acaac69c7a1840260b0ede694216c2007

[ "MIT" ]

null

from setuptools import setup from dffml_setup_common import SETUP_KWARGS, IMPORT_NAME SETUP_KWARGS["entry_points"] = { "dffml.service.cli": [f"misc = {IMPORT_NAME}.misc:MiscService"] } setup(**SETUP_KWARGS)

21.4

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true

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1

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null

0

1

0

1

0

5

a50863faa4ec8f6a7084a1a96e4f73e075cd858c

130

py

Python

clapbot/search/model/__init__.py

alexrudy/ClapBot

fc6149cbd20b8afd6ffd3d5c7a4836100a509215

[ "MIT" ]

2

2017-05-04T18:33:51.000Z

2017-05-04T18:34:17.000Z

clapbot/search/model/__init__.py

alexrudy/ClapBot

fc6149cbd20b8afd6ffd3d5c7a4836100a509215

[ "MIT" ]

2

2020-05-26T23:50:43.000Z

2021-03-26T21:39:30.000Z

clapbot/search/model/__init__.py

alexrudy/ClapBot

fc6149cbd20b8afd6ffd3d5c7a4836100a509215

[ "MIT" ]

null

from .search import HousingSearch, Status from .location import BoundingBox __all__ = ['HousingSearch', 'Status', 'BoundingBox']

26

52

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130

7.461538

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0

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null

0

1

0

1

0

5

eb5c37ee5f3888982fd2a866796664acfa04b815

96

py

Python

venv/lib/python3.8/site-packages/virtualenv/create/via_global_ref/_virtualenv.py

GiulianaPola/select_repeats

17a0d053d4f874e42cf654dd142168c2ec8fbd11

[ "MIT" ]

2

2022-03-13T01:58:52.000Z

2022-03-31T06:07:54.000Z

venv/lib/python3.8/site-packages/virtualenv/create/via_global_ref/_virtualenv.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

19

2021-11-20T04:09:18.000Z

2022-03-23T15:05:55.000Z

venv/lib/python3.8/site-packages/virtualenv/create/via_global_ref/_virtualenv.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

null

/home/runner/.cache/pip/pool/68/4b/8c/07932ba4a84ac2e5ae9afe49ef04e92bac3d8d4191d455cf09d093e5fc

96

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1

0

null

1

0

1

0

5

eb89dc99e30be7629fa2dd6949d3cc4d96416655

29,012

py

Python

similarities/literalsim.py

shibing624/similarities

f573ae158b0e2a908c1ef549784bd88e23cbd9c6

[ "Apache-2.0" ]

16

2022-02-23T11:46:18.000Z

2022-03-29T07:35:33.000Z

similarities/literalsim.py

shibing624/similarities

f573ae158b0e2a908c1ef549784bd88e23cbd9c6

[ "Apache-2.0" ]

1

2022-03-15T13:51:36.000Z

2022-03-16T02:56:15.000Z

similarities/literalsim.py

shibing624/similarities

f573ae158b0e2a908c1ef549784bd88e23cbd9c6

[ "Apache-2.0" ]

3

2022-02-24T02:06:05.000Z

2022-03-13T11:31:16.000Z

# -*- coding: utf-8 -*- """ @author:XuMing(xuming624@qq.com), Vit Novotny <witiko@mail.muni.cz>, lhy<lhy_in_blcu@126.com> @description: Licensed under the GNU LGPL v2.1 - http://www.gnu.org/licenses/lgpl.html This module provides classes that deal with sentence similarities from mean term vector. Adjust the gensim similarities Index to compute sentence similarities. """ import os from typing import List, Union, Dict import jieba import jieba.analyse import jieba.posseg import numpy as np from loguru import logger from tqdm import tqdm from text2vec import Word2Vec from similarities.similarity import SimilarityABC from similarities.utils.distance import string_hash, hamming_distance from similarities.utils.rank_bm25 import BM25Okapi from similarities.utils.tfidf import TFIDF, default_stopwords from similarities.utils.util import cos_sim, semantic_search pwd_path = os.path.abspath(os.path.dirname(__file__)) class SimHashSimilarity(SimilarityABC): """ Compute SimHash similarity between two sentences and retrieves most similar sentence for a given corpus. """ def __init__(self, corpus: Union[List[str], Dict[str, str]] = None): self.corpus = {} self.corpus_ids_map = {} self.corpus_embeddings = [] if corpus is not None: self.add_corpus(corpus) def __len__(self): """Get length of corpus.""" return len(self.corpus) def __str__(self): base = f"Similarity: {self.__class__.__name__}, matching_model: SimHash" if self.corpus: base += f", corpus size: {len(self.corpus)}" return base def add_corpus(self, corpus: Union[List[str], Dict[str, str]]): """ Extend the corpus with new documents. Parameters ---------- corpus : list of str or dict of str """ corpus_new = {} start_id = len(self.corpus) if self.corpus else 0 if isinstance(corpus, list): corpus = list(set(corpus)) for id, doc in enumerate(corpus): if doc not in list(self.corpus.values()): corpus_new[start_id + id] = doc else: for id, doc in corpus.items(): if doc not in list(self.corpus.values()): corpus_new[id] = doc self.corpus.update(corpus_new) self.corpus_ids_map = {i: id for i, id in enumerate(list(self.corpus.keys()))} logger.info(f"Start computing corpus embeddings, new docs: {len(corpus_new)}") corpus_texts = list(corpus_new.values()) corpus_embeddings = [] for sentence in tqdm(corpus_texts, desc="Computing corpus SimHash"): corpus_embeddings.append(self.simhash(sentence)) if self.corpus_embeddings: self.corpus_embeddings += corpus_embeddings else: self.corpus_embeddings = corpus_embeddings logger.info(f"Add {len(corpus)} docs, total: {len(self.corpus)}, emb size: {len(self.corpus_embeddings)}") def simhash(self, sentence: str): """ Compute SimHash for a given text. :param sentence: str :return: hash code """ seg = jieba.cut(sentence) key_word = jieba.analyse.extract_tags('|'.join(seg), topK=None, withWeight=True, allowPOS=()) # 先按照权重排序，再按照词排序 key_list = [] for feature, weight in key_word: weight = int(weight * 20) temp = [] for f in string_hash(feature): if f == '1': temp.append(weight) else: temp.append(-weight) key_list.append(temp) content_list = np.sum(np.array(key_list), axis=0) # 编码读不出来 if len(key_list) == 0: return '00' hash_code = '' for c in content_list: if c > 0: hash_code = hash_code + '1' else: hash_code = hash_code + '0' return hash_code def _sim_score(self, seq1, seq2): """Convert hamming distance to similarity score.""" # 将距离转化为相似度 score = 0.0 if len(seq1) > 2 and len(seq2) > 2: score = 1 - hamming_distance(seq1, seq2) / len(seq1) return score def similarity(self, a: Union[str, List[str]], b: Union[str, List[str]]): """ Compute hamming similarity between two sentences. Parameters ---------- a : str or list of str b : str or list of str Returns ------- list of float """ if isinstance(a, str): a = [a] if isinstance(b, str): b = [b] if len(a) != len(b): raise ValueError("expected two inputs of the same length") seqs1 = [self.simhash(text) for text in a] seqs2 = [self.simhash(text) for text in b] scores = [self._sim_score(seq1, seq2) for seq1, seq2 in zip(seqs1, seqs2)] return scores def distance(self, a: Union[str, List[str]], b: Union[str, List[str]]): """ Compute hamming distance between two sentences. Parameters ---------- a : str or list of str b : str or list of str Returns ------- list of float """ sim_scores = self.similarity(a, b) return [1 - score for score in sim_scores] def most_similar(self, queries: Union[str, List[str], Dict[str, str]], topn: int = 10): """ Find the topn most similar texts to the query against the corpus. :param queries: list of str or str :param topn: int :return: list of list tuples (corpus_id, corpus_text, similarity_score) """ if isinstance(queries, str) or not hasattr(queries, '__len__'): queries = [queries] if isinstance(queries, list): queries = {id: query for id, query in enumerate(queries)} result = {qid: {} for qid, query in queries.items()} for qid, query in queries.items(): q_res = [] query_emb = self.simhash(query) for (corpus_id, doc), doc_emb in zip(self.corpus.items(), self.corpus_embeddings): score = self._sim_score(query_emb, doc_emb) q_res.append((corpus_id, score)) q_res.sort(key=lambda x: x[1], reverse=True) q_res = q_res[:topn] for corpus_id, score in q_res: result[qid][corpus_id] = score return result class TfidfSimilarity(SimilarityABC): """ Compute TFIDF similarity between two sentences and retrieves most similar sentence for a given corpus. """ def __init__(self, corpus: Union[List[str], Dict[str, str]] = None): super().__init__() self.corpus = {} self.corpus_ids_map = {} self.corpus_embeddings = [] self.tfidf = TFIDF() if corpus is not None: self.add_corpus(corpus) def __len__(self): """Get length of corpus.""" return len(self.corpus) def __str__(self): base = f"Similarity: {self.__class__.__name__}, matching_model: Tfidf" if self.corpus: base += f", corpus size: {len(self.corpus)}" return base def add_corpus(self, corpus: Union[List[str], Dict[str, str]]): """ Extend the corpus with new documents. Parameters ---------- corpus : list of str """ corpus_new = {} start_id = len(self.corpus) if self.corpus else 0 if isinstance(corpus, list): corpus = list(set(corpus)) for id, doc in enumerate(corpus): if doc not in list(self.corpus.values()): corpus_new[start_id + id] = doc else: for id, doc in corpus.items(): if doc not in list(self.corpus.values()): corpus_new[id] = doc self.corpus.update(corpus_new) self.corpus_ids_map = {i: id for i, id in enumerate(list(self.corpus.keys()))} logger.info(f"Start computing corpus embeddings, new docs: {len(corpus_new)}") corpus_texts = list(corpus_new.values()) corpus_embeddings = [] for sentence in tqdm(corpus_texts, desc="Computing corpus TFIDF"): corpus_embeddings.append(self.tfidf.get_tfidf(sentence)) if self.corpus_embeddings: self.corpus_embeddings += corpus_embeddings else: self.corpus_embeddings = corpus_embeddings logger.info(f"Add {len(corpus)} docs, total: {len(self.corpus)}, emb size: {len(self.corpus_embeddings)}") def similarity(self, a: Union[str, List[str]], b: Union[str, List[str]]): """ Compute cosine similarity score between two sentences. :param a: :param b: :return: """ if isinstance(a, str): a = [a] if isinstance(b, str): b = [b] features1 = [self.tfidf.get_tfidf(text) for text in a] features2 = [self.tfidf.get_tfidf(text) for text in b] return cos_sim(np.array(features1), np.array(features2)) def distance(self, a: Union[str, List[str]], b: Union[str, List[str]]): """Compute cosine distance between two keys.""" return 1 - self.similarity(a, b) def most_similar(self, queries: Union[str, List[str], Dict[str, str]], topn: int = 10): """Find the topn most similar texts to the query against the corpus.""" if isinstance(queries, str) or not hasattr(queries, '__len__'): queries = [queries] if isinstance(queries, list): queries = {id: query for id, query in enumerate(queries)} result = {qid: {} for qid, query in queries.items()} queries_ids_map = {i: id for i, id in enumerate(list(queries.keys()))} queries_texts = list(queries.values()) queries_embeddings = np.array([self.tfidf.get_tfidf(query) for query in queries_texts], dtype=np.float32) corpus_embeddings = np.array(self.corpus_embeddings, dtype=np.float32) all_hits = semantic_search(queries_embeddings, corpus_embeddings, top_k=topn) for idx, hits in enumerate(all_hits): for hit in hits[0:topn]: result[queries_ids_map[idx]][self.corpus_ids_map[hit['corpus_id']]] = hit['score'] return result class BM25Similarity(SimilarityABC): """ Compute BM25OKapi similarity between two sentences and retrieves most similar sentence for a given corpus. """ def __init__(self, corpus: Union[List[str], Dict[str, str]] = None): super().__init__() self.corpus = {} self.corpus_ids_map = {} self.bm25 = None if corpus is not None: self.add_corpus(corpus) def __len__(self): """Get length of corpus.""" return len(self.corpus) def __str__(self): base = f"Similarity: {self.__class__.__name__}, matching_model: BM25" if self.corpus: base += f", corpus size: {len(self.corpus)}" return base def add_corpus(self, corpus: Union[List[str], Dict[str, str]]): """ Extend the corpus with new documents. Parameters ---------- corpus : list of str or dict """ corpus_new = {} start_id = len(self.corpus) if self.corpus else 0 if isinstance(corpus, list): corpus = list(set(corpus)) for id, doc in enumerate(corpus): if doc not in list(self.corpus.values()): corpus_new[start_id + id] = doc else: for id, doc in corpus.items(): if doc not in list(self.corpus.values()): corpus_new[id] = doc self.corpus.update(corpus_new) self.corpus_ids_map = {i: id for i, id in enumerate(list(self.corpus.keys()))} logger.info(f"Start computing corpus embeddings, new docs: {len(corpus_new)}") corpus_texts = list(corpus_new.values()) corpus_seg = [jieba.lcut(d) for d in corpus_texts] corpus_seg = [[w for w in doc if (w.strip().lower() not in default_stopwords) and len(w.strip()) > 0] for doc in corpus_seg] self.bm25 = BM25Okapi(corpus_seg) logger.info(f"Add {len(corpus)} docs, total: {len(self.corpus)}") def most_similar(self, queries: Union[str, List[str], Dict[str, str]], topn=10): """ Find the topn most similar texts to the query against the corpus. :param queries: input query :param topn: int :return: Dict[str, Dict[str, float]], {query_id: {corpus_id: similarity_score}} """ if not self.bm25: raise ValueError("BM25 model is not initialized. Please add_corpus first, eg. `add_corpus(corpus)`") if isinstance(queries, str): queries = [queries] if isinstance(queries, list): queries = {id: query for id, query in enumerate(queries)} result = {qid: {} for qid, query in queries.items()} for qid, query in queries.items(): tokens = jieba.lcut(query) scores = self.bm25.get_scores(tokens) q_res = [{'corpus_id': corpus_id, 'score': score} for corpus_id, score in enumerate(scores)] q_res = sorted(q_res, key=lambda x: x['score'], reverse=True)[:topn] for res in q_res: corpus_id = self.corpus_ids_map[res['corpus_id']] result[qid][corpus_id] = res['score'] return result class WordEmbeddingSimilarity(SimilarityABC): """ Compute Word2Vec similarity between two sentences and retrieves most similar sentence for a given corpus. """ def __init__(self, corpus: Union[List[str], Dict[str, str]] = None, model_name_or_path="w2v-light-tencent-chinese"): """ Init WordEmbeddingSimilarity. :param model_name_or_path: ~text2vec.Word2Vec model name or path to model file. :param corpus: list of str """ if isinstance(model_name_or_path, str): self.keyedvectors = Word2Vec(model_name_or_path) elif hasattr(model_name_or_path, "encode"): self.keyedvectors = model_name_or_path else: raise ValueError("model_name_or_path must be ~text2vec.Word2Vec or Word2Vec model name") self.corpus = {} self.corpus_ids_map = {} self.corpus_embeddings = [] if corpus is not None: self.add_corpus(corpus) def __len__(self): """Get length of corpus.""" return len(self.corpus) def __str__(self): base = f"Similarity: {self.__class__.__name__}, matching_model: Word2Vec" if self.corpus: base += f", corpus size: {len(self.corpus)}" return base def add_corpus(self, corpus: Union[List[str], Dict[str, str]]): """ Extend the corpus with new documents. Parameters ---------- corpus : list of str """ corpus_new = {} start_id = len(self.corpus) if self.corpus else 0 if isinstance(corpus, list): corpus = list(set(corpus)) for id, doc in enumerate(corpus): if doc not in list(self.corpus.values()): corpus_new[start_id + id] = doc else: for id, doc in corpus.items(): if doc not in list(self.corpus.values()): corpus_new[id] = doc self.corpus.update(corpus_new) self.corpus_ids_map = {i: id for i, id in enumerate(list(self.corpus.keys()))} logger.info(f"Start computing corpus embeddings, new docs: {len(corpus_new)}") corpus_texts = list(corpus_new.values()) corpus_embeddings = self._get_vector(corpus_texts, show_progress_bar=True).tolist() if self.corpus_embeddings: self.corpus_embeddings += corpus_embeddings else: self.corpus_embeddings = corpus_embeddings logger.info(f"Add {len(corpus)} docs, total: {len(self.corpus)}, emb size: {len(self.corpus_embeddings)}") def _get_vector(self, text, show_progress_bar: bool = False) -> np.ndarray: return self.keyedvectors.encode(text, show_progress_bar=show_progress_bar) def similarity(self, a: Union[str, List[str]], b: Union[str, List[str]]): """Compute cosine similarity between two texts.""" v1 = self._get_vector(a) v2 = self._get_vector(b) return cos_sim(v1, v2) def distance(self, a: Union[str, List[str]], b: Union[str, List[str]]): """Compute cosine distance between two texts.""" return 1 - self.similarity(a, b) def most_similar(self, queries: Union[str, List[str], Dict[str, str]], topn: int = 10): """ Find the topn most similar texts to the query against the corpus. :param queries: list of str or str :param topn: int :return: list of list of tuples (corpus_id, corpus_text, similarity_score) """ if isinstance(queries, str) or not hasattr(queries, '__len__'): queries = [queries] if isinstance(queries, list): queries = {id: query for id, query in enumerate(queries)} result = {qid: {} for qid, query in queries.items()} queries_ids_map = {i: id for i, id in enumerate(list(queries.keys()))} queries_texts = list(queries.values()) queries_embeddings = np.array([self._get_vector(query) for query in queries_texts], dtype=np.float32) corpus_embeddings = np.array(self.corpus_embeddings, dtype=np.float32) all_hits = semantic_search(queries_embeddings, corpus_embeddings, top_k=topn) for idx, hits in enumerate(all_hits): for hit in hits[0:topn]: result[queries_ids_map[idx]][self.corpus_ids_map[hit['corpus_id']]] = hit['score'] return result class CilinSimilarity(SimilarityABC): """ Compute Cilin similarity between two sentences and retrieves most similar sentence for a given corpus. """ default_cilin_path = os.path.join(pwd_path, 'data/cilin.txt') def __init__(self, corpus: Union[List[str], Dict[str, str]] = None, cilin_path: str = default_cilin_path): super().__init__() self.cilin_dict = self.load_cilin_dict(cilin_path) # Cilin(词林) semantic dictionary self.corpus = {} self.corpus_ids_map = {} if corpus is not None: self.add_corpus(corpus) def __len__(self): """Get length of corpus.""" return len(self.corpus) def __str__(self): base = f"Similarity: {self.__class__.__name__}, matching_model: Cilin" if self.corpus: base += f", corpus size: {len(self.corpus)}" return base def add_corpus(self, corpus: Union[List[str], Dict[str, str]]): """ Extend the corpus with new documents. Parameters ---------- corpus : list of str """ corpus_new = {} start_id = len(self.corpus) if self.corpus else 0 if isinstance(corpus, list): corpus = list(set(corpus)) for id, doc in enumerate(corpus): if doc not in list(self.corpus.values()): corpus_new[start_id + id] = doc else: for id, doc in corpus.items(): if doc not in list(self.corpus.values()): corpus_new[id] = doc self.corpus.update(corpus_new) self.corpus_ids_map = {i: id for i, id in enumerate(list(self.corpus.keys()))} logger.info(f"Start add new docs: {len(corpus_new)}") logger.info(f"Add {len(corpus)} docs, total: {len(self.corpus)}") @staticmethod def load_cilin_dict(path): """加载词林语义词典""" sem_dict = {} for line in open(path, 'r', encoding='utf-8'): line = line.strip() terms = line.split(' ') sem_type = terms[0] words = terms[1:] for word in words: if word not in sem_dict: sem_dict[word] = sem_type else: sem_dict[word] += ';' + sem_type for word, sem_type in sem_dict.items(): sem_dict[word] = sem_type.split(';') return sem_dict def _word_sim(self, word1, word2): """ 比较计算词语之间的相似度，取max最大值 :param word1: :param word2: :return: """ sems_word1 = self.cilin_dict.get(word1, []) sems_word2 = self.cilin_dict.get(word2, []) score_list = [self._semantic_sim(sem_word1, sem_word2) for sem_word1 in sems_word1 for sem_word2 in sems_word2] if score_list: return max(score_list) else: return 0 def _semantic_sim(self, sem1, sem2): """ 基于语义计算词语相似度 :param sem1: :param sem2: :return: """ sem1 = [sem1[0], sem1[1], sem1[2:4], sem1[4], sem1[5:7], sem1[-1]] sem2 = [sem2[0], sem2[1], sem2[2:4], sem2[4], sem2[5:7], sem2[-1]] score = 0 for index in range(len(sem1)): if sem1[index] == sem2[index]: if index in [0, 1]: score += 3 elif index == 2: score += 2 elif index in [3, 4]: score += 1 return score / 10 def similarity(self, a: Union[str, List[str]], b: Union[str, List[str]]): """ Compute Cilin similarity between two texts. :param a: :param b: :return: """ if isinstance(a, str): a = [a] if isinstance(b, str): b = [b] if len(a) != len(b): raise ValueError("expected two inputs of the same length") def calc_pair_sim(sentence1, sentence2): words1 = [word.word for word in jieba.posseg.cut(sentence1) if word.flag[0] not in ['u', 'x', 'w']] words2 = [word.word for word in jieba.posseg.cut(sentence2) if word.flag[0] not in ['u', 'x', 'w']] score_words1 = [] score_words2 = [] for word1 in words1: score = max(self._word_sim(word1, word2) for word2 in words2) score_words1.append(score) for word2 in words2: score = max(self._word_sim(word2, word1) for word1 in words1) score_words2.append(score) similarity_score = max(sum(score_words1) / len(words1), sum(score_words2) / len(words2)) return similarity_score return [calc_pair_sim(sentence1, sentence2) for sentence1, sentence2 in zip(a, b)] def distance(self, a: Union[str, List[str]], b: Union[str, List[str]]): """Compute cosine distance between two texts.""" return [1 - s for s in self.similarity(a, b)] def most_similar(self, queries: Union[str, List[str], Dict[str, str]], topn: int = 10): """Find the topn most similar texts to the query against the corpus.""" if isinstance(queries, str) or not hasattr(queries, '__len__'): queries = [queries] if isinstance(queries, list): queries = {id: query for id, query in enumerate(queries)} result = {qid: {} for qid, query in queries.items()} for qid, query in queries.items(): q_res = [] for corpus_id, doc in self.corpus.items(): score = self.similarity(query, doc)[0] q_res.append((corpus_id, score)) q_res.sort(key=lambda x: x[1], reverse=True) q_res = q_res[:topn] for corpus_id, score in q_res: result[qid][corpus_id] = score return result class HownetSimilarity(SimilarityABC): """ Compute Hownet similarity between two sentences and retrieves most similar sentence for a given corpus. """ default_hownet_path = os.path.join(pwd_path, 'data/hownet.txt') def __init__(self, corpus: Union[List[str], Dict[str, str]] = None, hownet_path: str = default_hownet_path): self.hownet_dict = self.load_hownet_dict(hownet_path) # semantic dictionary self.corpus = {} self.corpus_ids_map = {} if corpus is not None: self.add_corpus(corpus) def __len__(self): """Get length of corpus.""" return len(self.corpus) def __str__(self): base = f"Similarity: {self.__class__.__name__}, matching_model: Hownet" if self.corpus: base += f", corpus size: {len(self.corpus)}" return base def add_corpus(self, corpus: Union[List[str], Dict[str, str]]): """ Extend the corpus with new documents. Parameters ---------- corpus : list of str """ corpus_new = {} start_id = len(self.corpus) if self.corpus else 0 if isinstance(corpus, list): corpus = list(set(corpus)) for id, doc in enumerate(corpus): if doc not in list(self.corpus.values()): corpus_new[start_id + id] = doc else: for id, doc in corpus.items(): if doc not in list(self.corpus.values()): corpus_new[id] = doc self.corpus.update(corpus_new) self.corpus_ids_map = {i: id for i, id in enumerate(list(self.corpus.keys()))} logger.info(f"Start add new docs: {len(corpus_new)}") logger.info(f"Add {len(corpus)} docs, total: {len(self.corpus)}") @staticmethod def load_hownet_dict(path): """加载Hownet语义词典""" hownet_dict = {} for line in open(path, 'r', encoding='utf-8'): words = [word for word in line.strip().replace(' ', '>').replace('\t', '>').split('>') if word != ''] word = words[0] word_def = words[2] hownet_dict[word] = word_def.split(',') return hownet_dict def _semantic_sim(self, sem1, sem2): """计算语义相似度""" sem_inter = set(sem1).intersection(set(sem2)) sem_union = set(sem1).union(set(sem2)) return float(len(sem_inter)) / float(len(sem_union)) def _word_sim(self, word1, word2): """比较两个词语之间的相似度""" sems_word1 = self.hownet_dict.get(word1, []) sems_words = self.hownet_dict.get(word2, []) scores = [self._semantic_sim(sem_word1, sem_word2) for sem_word1 in sems_word1 for sem_word2 in sems_words] if scores: return max(scores) else: return 0 def similarity(self, a: Union[str, List[str]], b: Union[str, List[str]]): """ Computer Hownet similarity between two texts. :param a: :param b: :return: """ if isinstance(a, str): a = [a] if isinstance(b, str): b = [b] if len(a) != len(b): raise ValueError("expected two inputs of the same length") def calc_pair_sim(sentence1, sentence2): words1 = [word.word for word in jieba.posseg.cut(sentence1) if word.flag[0] not in ['u', 'x', 'w']] words2 = [word.word for word in jieba.posseg.cut(sentence2) if word.flag[0] not in ['u', 'x', 'w']] score_words1 = [] score_words2 = [] for word1 in words1: score = max(self._word_sim(word1, word2) for word2 in words2) score_words1.append(score) for word2 in words2: score = max(self._word_sim(word2, word1) for word1 in words1) score_words2.append(score) similarity_score = max(sum(score_words1) / len(words1), sum(score_words2) / len(words2)) return similarity_score return [calc_pair_sim(sentence1, sentence2) for sentence1, sentence2 in zip(a, b)] def distance(self, a: Union[str, List[str]], b: Union[str, List[str]]): """Compute Hownet distance between two keys.""" return [1 - s for s in self.similarity(a, b)] def most_similar(self, queries: Union[str, List[str], Dict[str, str]], topn: int = 10): """Find the topn most similar texts to the query against the corpus.""" if isinstance(queries, str) or not hasattr(queries, '__len__'): queries = [queries] if isinstance(queries, list): queries = {id: query for id, query in enumerate(queries)} result = {qid: {} for qid, query in queries.items()} for qid, query in queries.items(): q_res = [] for corpus_id, doc in self.corpus.items(): score = self.similarity(query, doc)[0] q_res.append((corpus_id, score)) q_res.sort(key=lambda x: x[1], reverse=True) q_res = q_res[:topn] for corpus_id, score in q_res: result[qid][corpus_id] = score return result

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0.694332

0

0.006073

0.074465

0.01105

0

1

0.103239

false

0

0.02834

0.002024

0.232794

0

null

0

1

0

null

0

5

eb98caabf0fb3dda405c666538a452f1c6425b13

1,412

py

Python

Lectures/UAV_control/mavsim_python_chap5_model_coef.py

donnel2-cooper/drone_control

3bb3a1c1f768916ac41d4b78692e2edab0776c07

[ "MIT" ]

null

Lectures/UAV_control/mavsim_python_chap5_model_coef.py

donnel2-cooper/drone_control

3bb3a1c1f768916ac41d4b78692e2edab0776c07

[ "MIT" ]

null

Lectures/UAV_control/mavsim_python_chap5_model_coef.py

donnel2-cooper/drone_control

3bb3a1c1f768916ac41d4b78692e2edab0776c07

[ "MIT" ]

null

import numpy as np x_trim = np.array([[-0.000000, -0.000000, -100.000000, 24.971443, 0.000000, 1.194576, 0.993827, 0.000000, 0.110938, 0.000000, 0.000000, 0.000000, 0.000000]]).T u_trim = np.array([[-0.118662, 0.009775, -0.001611, 0.857721]]).T Va_trim = 25.000000 alpha_trim = 0.047801 theta_trim = 0.222334 a_phi1 = 22.628851 a_phi2 = 130.883678 a_theta1 = 5.294738 a_theta2 = 99.947422 a_theta3 = -36.112390 a_V1 = 0.052559 a_V2 = 10.698657 a_V3 = 9.651117 A_lon = np.array([ [-0.220972, 0.483662, -1.165980, -9.547814, -0.000000], [-0.552148, -4.463072, 24.373686, -2.208720, -0.000000], [0.191108, -3.993407, -5.294738, 0.000000, -0.000000], [0.000000, 0.000000, 0.999878, 0.000000, -0.000000], [0.220506, -0.975386, -0.000000, 24.598080, 0.000000]]) B_lon = np.array([ [-0.144115, 10.698657], [-2.585871, 0.000000], [-36.112390, 0.000000], [0.000000, 0.000000], [-0.000000, -0.000000]]) A_lat = np.array([ [-0.776773, 1.194576, -24.971443, 9.558619, 0.000000], [-3.866705, -22.628851, 10.905041, 0.000000, 0.000000], [0.783078, -0.115092, -1.227655, 0.000000, 0.000000], [0.000000, 1.000000, 0.226071, 0.000000, 0.000000], [0.000000, -0.000000, 1.025235, 0.000000, 0.000000]]) B_lat = np.array([ [1.486172, 3.764969], [130.883678, -1.796374], [5.011735, -24.881341], [0.000000, 0.000000], [0.000000, 0.000000]]) Ts = 0.020000

35.3

159

0.623938

251

1,412

3.442231

0.358566

0.324074

0.259259

0.356481

0.232639

0.197917

0.171296

0.06713

0

0.606392

0.157932

1,412

39

160

36.205128

0.120269

0

0.051282

0

1

0

false

0

0.025641

0

0.025641

0

null

1

0

1

0

1

0

null

0

5

ebc7275921fa55eff22237803020fcd37980be54

244

py

Python

conditional_mutual_information/data/func_def.py

martinmamql/conditional_infonce

7c4ac4138ce165720578443eb891c59e10a8b262

[ "MIT" ]

null

conditional_mutual_information/data/func_def.py

martinmamql/conditional_infonce

7c4ac4138ce165720578443eb891c59e10a8b262

[ "MIT" ]

null

conditional_mutual_information/data/func_def.py

martinmamql/conditional_infonce

7c4ac4138ce165720578443eb891c59e10a8b262

[ "MIT" ]

null

import numpy as np def same(x): return x def square(x): return np.square(x) def cube(x): return np.power(x,3) def tanh(x): return np.tanh(x) def negexp(x): return np.exp(-np.abs(x)) def cosine(x): return np.cos(x)

12.2

29

0.606557

47

244

3.148936

0.382979

0.283784

0.304054

0

0.005376

0.237705

244

19

30

12.842105

0.790323

0

1

0.461538

false

0

0.076923

0.461538

1

0

null

1

0

null

0

1

0

1

0

5

ebdf3e7368f8fe0a0786b88399df5614fd3416ae

46

py

Python

locale/pot/api/examples/_autosummary/pyvista-demos-demos-plot_glyphs-1.py

tkoyama010/pyvista-doc-translations

23bb813387b7f8bfe17e86c2244d5dd2243990db

[ "MIT" ]

4

2020-08-07T08:19:19.000Z

2020-12-04T09:51:11.000Z

locale/pot/api/examples/_autosummary/pyvista-demos-demos-plot_glyphs-1.py

tkoyama010/pyvista-doc-translations

23bb813387b7f8bfe17e86c2244d5dd2243990db

[ "MIT" ]

19

2020-08-06T00:24:30.000Z

2022-03-30T19:22:24.000Z

locale/pot/api/examples/_autosummary/pyvista-demos-demos-plot_glyphs-1.py

tkoyama010/pyvista-doc-translations

23bb813387b7f8bfe17e86c2244d5dd2243990db

[ "MIT" ]

1

2021-03-09T07:50:40.000Z

from pyvista import demos demos.plot_glyphs()

15.333333

25

0.826087

7

46

5.285714

0.857143

0

0.108696

46

2

26

23

0.902439

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

cce815ecbbd95864e731c29c2b41f5e52d5f0763

33

py

Python

exercises/leap/leap.py

wonhyeongseo/python

ccd399510a58ad42d03420e43de67893f55dd411

[ "MIT" ]

2

2019-07-25T04:40:24.000Z

2020-12-18T21:29:02.000Z

exercises/leap/leap.py

toroad/python

ce085c81a82ae5fb460fe166323dbbaa5a2588c5

[ "MIT" ]

null

exercises/leap/leap.py

toroad/python

ce085c81a82ae5fb460fe166323dbbaa5a2588c5

[ "MIT" ]

1

2021-12-29T19:26:23.000Z

def is_leap_year(year): pass

11

23

0.69697

6

33

3.5

0.833333

0

0.212121

33

2

24

16.5

0.807692

0

1

0.5

false

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

6901858aa59bfa6038a328b7eec7605931c51237

6,627

py

Python

tests/utils_test.py

leonhard-s/Py2DM

a2c4c193dfa4494f2c9117f580f99f0dbdc579fc

[ "MIT" ]

6

2021-01-28T10:59:21.000Z

2022-03-30T08:00:06.000Z

tests/utils_test.py

leonhard-s/Py2DM

a2c4c193dfa4494f2c9117f580f99f0dbdc579fc

[ "MIT" ]

7

2020-10-28T13:01:13.000Z

2022-03-08T19:21:05.000Z

tests/utils_test.py

leonhard-s/Py2DM

a2c4c193dfa4494f2c9117f580f99f0dbdc579fc

[ "MIT" ]

null

"""Test cases for the py2dm.utils sub module.""" import os import unittest import shutil import tempfile from typing import Tuple import py2dm # pylint: disable=import-error class TestTriangleConverter(unittest.TestCase): """Tests for the py2dm.utils.triangle_to_2dm method.""" _PATH = os.path.join('tests', 'data', 'triangle') def get_triangle_output(self, filename: str) -> Tuple[str, str]: """Return the pregenerated output for a given test file.""" filename, _ = os.path.splitext(filename) output = os.path.join(self._PATH, 'output', f'{filename}.1') return f'{output}.node', f'{output}.ele' def test_spiral(self) -> None: node, ele = self.get_triangle_output('spiral.node') with tempfile.TemporaryDirectory() as temp_dir: output = os.path.join(temp_dir, 'spiral.2dm') py2dm.utils.triangle_to_2dm(node, ele, output) with py2dm.Reader(output) as mesh: self.assertEqual( mesh.materials_per_element, 0, 'bad material count') self.assertEqual( mesh.num_elements, 33, 'bad element count') self.assertEqual( mesh.num_nodes, 26, 'bad node count') self.assertEqual( mesh.num_node_strings, 0, 'bad node string count') self.assertEqual( mesh.node(2), py2dm.Node(2, -0.416, 0.909, 0.0), 'bad node returned') self.assertEqual( mesh.element(3), py2dm.Element3T(3, 16, 21, 23), 'bad element returned') def test_spiral_e6t(self) -> None: node, ele = self.get_triangle_output('spiral_e6t.node') with tempfile.TemporaryDirectory() as temp_dir: output = os.path.join(temp_dir, 'spiral_e6t.2dm') py2dm.utils.triangle_to_2dm(node, ele, output) with py2dm.Reader(output) as mesh: self.assertEqual( mesh.materials_per_element, 0, 'bad material count') self.assertEqual( mesh.num_elements, 33, 'bad element count') self.assertEqual( mesh.num_nodes, 84, 'bad node count') self.assertEqual( mesh.num_node_strings, 0, 'bad node string count') self.assertEqual( mesh.node(73), py2dm.Node(73, 1.76, 3.19, 0.0), 'bad node returned') self.assertEqual( mesh.element(20), # NOTE: Element6T node order adjusted to account for the # node ordering differences between 2DM and Triangle, # namely 1-6-2-4-3-5 py2dm.Element6T(20, 15, 70, 16, 35, 23, 71), 'bad element returned') class UnsortedIdConverter(unittest.TestCase): """Test cases for the `convert_unsorted_nodes` parser.""" _DATA_DIR = os.path.join('tests', 'data', 'external', 'mdal') _temp_dir: tempfile.TemporaryDirectory # type: ignore def setUp(self) -> None: super().setUp() self._temp_dir = tempfile.TemporaryDirectory() def tearDown(self) -> None: super().tearDown() self._temp_dir.cleanup() # type: ignore @classmethod def data(cls, filename: str) -> str: """Return an absolute path to a synthetic test file.""" return os.path.abspath( os.path.join(cls._DATA_DIR, filename)) def convert(self, filename: str) -> str: """Convert an input file and open the converted copy.""" # Copy input to temporary directory in_path = os.path.join(self._temp_dir.name, filename) # type: ignore shutil.copy(self.data(filename), in_path) # Convert py2dm.utils.convert_unsorted_nodes(in_path) # Return converted file's path basename, ext = os.path.splitext(filename) return os.path.join(self._temp_dir.name, # type: ignore f'{basename}_converted{ext}') def test_triangle_e6t(self) -> None: path = self.convert('triangleE6T.2dm') with self.assertRaises(py2dm.errors.FormatError): py2dm.Reader(path).open() def test_unordered_ids(self) -> None: path = self.convert('unordered_ids.2dm') py2dm.Reader(path).open() class RandomIdConverter(unittest.TestCase): """Test cases for the `convert_random_nodes` parser.""" _DATA_DIR = os.path.join('tests', 'data', 'external', 'mdal') _temp_dir: tempfile.TemporaryDirectory # type: ignore def setUp(self) -> None: super().setUp() self._temp_dir = tempfile.TemporaryDirectory() def tearDown(self) -> None: super().tearDown() self._temp_dir.cleanup() # type: ignore @classmethod def data(cls, filename: str) -> str: """Return an absolute path to a synthetic test file.""" return os.path.abspath( os.path.join(cls._DATA_DIR, filename)) def convert(self, filename: str) -> str: """Convert an input file and open the converted copy.""" # Copy input to temporary directory in_path = os.path.join(self._temp_dir.name, filename) # type: ignore shutil.copy(self.data(filename), in_path) # Convert py2dm.utils.convert_random_nodes(in_path) # Return converted file's path basename, ext = os.path.splitext(filename) return os.path.join(self._temp_dir.name, # type: ignore f'{basename}_converted{ext}') def test_triangle_e6t(self) -> None: path = self.convert('triangleE6T.2dm') with py2dm.Reader(path) as mesh: self.assertEqual(mesh.num_elements, 6) self.assertEqual(mesh.num_nodes, 22) self.assertEqual(mesh.num_node_strings, 0) self.assertEqual(mesh.element(1).card, 'E6T') def test_unordered_ids(self) -> None: path = self.convert('unordered_ids.2dm') with py2dm.Reader(path) as mesh: self.assertEqual(mesh.num_elements, 2) self.assertEqual(mesh.num_nodes, 5) self.assertEqual(mesh.num_node_strings, 0) self.assertEqual(mesh.element(1).card, 'E4Q') self.assertEqual(mesh.element(2).card, 'E3T')

38.306358

77

0.575373

767

6,627

4.843546

0.186441

0.084791

0.107402

0.071063

0.769314

0.743472

0.723015

0.677254

0

0.025923

0.313113

6,627

172

78

38.52907

0.790202

0.128565

0

0.68254

0

0.085609

0.008754

0

0.174603

1

0.119048

false

0

0.047619

0

0.269841

0

null

0

1

0

null

0

5

6902a51def1853ca4b2937244b69678cbbbc10b2

220

py

Python

datasets.py

mafanhe/pbt

013ebb24aace1a8ebd537f1a7ec25db6e2d62234

[ "MIT" ]

2

2019-01-30T02:19:14.000Z

2020-10-03T18:39:25.000Z

datasets.py

mafanhe/pbt

013ebb24aace1a8ebd537f1a7ec25db6e2d62234

[ "MIT" ]

null

datasets.py

mafanhe/pbt

013ebb24aace1a8ebd537f1a7ec25db6e2d62234

[ "MIT" ]

1

2019-06-11T08:58:03.000Z

from tensorflow.keras.datasets import mnist def data(): (x_train, y_train), (x_test, y_test) = mnist.load_data() x_train, x_test = x_train / 255.0, x_test / 255.0 return (x_train, y_train), (x_test, y_test)

31.428571

60

0.686364

40

220

3.45

0.4

0.173913

0.217391

0.173913

0.318841

0

0.044199

0.177273

220

7

61

31.428571

0.718232

0

1

0.2

true

0

0.2

0

0.6

0

null

0

1

0

1

0

null

0

1

0

1

0

5

690a61ea14c675f11bff8cbb30e2d11a7010a2a4

42

py

Python

python/testData/resolve/multiFile/dunderAllDynamicallyBuiltInHelperFunction/DunderAllDynamicallyBuiltInHelperFunction.py

Sajaki/intellij-community

6748af2c40567839d11fd652ec77ba263c074aad

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/resolve/multiFile/dunderAllDynamicallyBuiltInHelperFunction/DunderAllDynamicallyBuiltInHelperFunction.py

Sajaki/intellij-community

6748af2c40567839d11fd652ec77ba263c074aad

[ "Apache-2.0" ]

2

2022-02-19T09:45:05.000Z

2022-02-27T20:32:55.000Z

python/testData/resolve/multiFile/dunderAllDynamicallyBuiltInHelperFunction/DunderAllDynamicallyBuiltInHelperFunction.py

bradleesand/intellij-community

750ff9c10333c9c1278c00dbe8d88c877b1b9749

[ "Apache-2.0" ]

1

2020-10-15T05:56:42.000Z

from pkg import * print(bar) <ref>

10.5

17

0.571429

6

42

4

1

0

0.309524

42

4

18

10.5

0.827586

0

null

0

0.333333

null

0.333333

1

0

null

0

1

0

null

0

1

0

1

0

5

6938741166159b2664abea896dc4276965892890

6,449

py

Python

tests/test_secret.py

futurice/vault

6da5341804509b7984d0a5817bbd13d3477fe0bc

[ "Apache-2.0" ]

9

2015-10-16T12:06:35.000Z

2020-04-03T09:05:06.000Z

tests/test_secret.py

futurice/vault

6da5341804509b7984d0a5817bbd13d3477fe0bc

[ "Apache-2.0" ]

null

tests/test_secret.py

futurice/vault

6da5341804509b7984d0a5817bbd13d3477fe0bc

[ "Apache-2.0" ]

3

2015-10-20T09:36:53.000Z

2021-01-18T20:49:41.000Z

# encoding=utf8 import unittest import os, sys import trollius as asyncio from trollius import From, Return try:# PY2 from cStringIO import StringIO except: from io import StringIO from contextlib import contextmanager from secret.secret import runner, prepare, main from secret.project import get_project @contextmanager def capture(command, *args, **kwargs): out, sys.stdout = sys.stdout, StringIO() command(*args, **kwargs) sys.stdout.seek(0) yield sys.stdout.read() sys.stdout = out def run_runner(*args, **kwargs): # to avoid event loop open/closed -issues while testing args = prepare() future = main(args, **kwargs) loop = asyncio.get_event_loop() loop.run_until_complete(future) def datadir(): return os.path.dirname(os.path.realpath(__file__)) class TestSecret(unittest.TestCase): def setUp(self): del sys.argv[1:] self.project = get_project('.secret').load() def project_name(self): return self.project['project'] def test_cli_without_arguments(self): with self.assertRaises(SystemExit): run_runner() def test_put(self): sys.argv.append('put') with self.assertRaises(SystemExit): with capture(run_runner) as output: self.assertEquals(output, 'Error! No value provided.\n') def test_put_key(self): sys.argv.append('put') sys.argv.append('key') with self.assertRaises(SystemExit): with capture(run_runner) as output: self.assertEquals(output, 'Error! No value provided.\n') def test_put_key_value(self): sys.argv.append('put') sys.argv.append('key') sys.argv.append('value') with capture(run_runner) as output: self.assertEquals(output, 'Success! Wrote: {}/default/key\n'.format(self.project_name())) del sys.argv[1:] sys.argv.append('get') sys.argv.append('key') with capture(run_runner) as output: self.assertEquals(output, 'value\n') del sys.argv[1:] sys.argv.append('config') sys.argv.append('-F') sys.argv.append('docker') with capture(run_runner) as output: self.assertEquals(output, '-e key="value"\n') del sys.argv[1:] sys.argv.append('config') sys.argv.append('-F') sys.argv.append('json') with capture(run_runner) as output: self.assertEquals(output, '{"key": "value"}\n') del sys.argv[1:] sys.argv.append('delete') sys.argv.append('key') with capture(run_runner) as output: self.assertEquals(output, 'Success! Deleted: {}/default/key\n'.format(self.project_name())) def test_put_key_value_nonascii(self): sys.argv.append('put') sys.argv.append('key') sys.argv.append('val%€') with capture(run_runner) as output: self.assertEquals(output, 'Success! Wrote: {}/default/key\n'.format(self.project_name())) del sys.argv[1:] sys.argv.append('get') sys.argv.append('key') with capture(run_runner) as output: self.assertEquals(output, 'val%€\n') del sys.argv[1:] sys.argv.append('delete') sys.argv.append('key') with capture(run_runner) as output: self.assertEquals(output, 'Success! Deleted: {}/default/key\n'.format(self.project_name())) def test_put_key_file_nonascii(self): sys.argv.append('put') sys.argv.append('keyfile') sys.argv.append(os.path.join(datadir(), 'upload_nonascii.txt')) with capture(run_runner) as output: self.assertEquals(output, 'Success! Wrote: {}/default/keyfile\n'.format(self.project_name())) del sys.argv[1:] sys.argv.append('get') sys.argv.append('keyfile') with capture(run_runner) as output: self.assertEquals(output, 'h€llo Ä ö Å\n') del sys.argv[1:] sys.argv.append('delete') sys.argv.append('keyfile') with capture(run_runner) as output: self.assertEquals(output, 'Success! Deleted: {}/default/keyfile\n'.format(self.project_name())) def test_put_key_file(self): sys.argv.append('put') sys.argv.append('keyfile') sys.argv.append(os.path.join(datadir(), 'upload.txt')) with capture(run_runner) as output: self.assertEquals(output, 'Success! Wrote: {}/default/keyfile\n'.format(self.project_name())) del sys.argv[1:] sys.argv.append('get') sys.argv.append('keyfile') with capture(run_runner) as output: self.assertEquals(output, 'upload test\n') del sys.argv[1:] sys.argv.append('delete') sys.argv.append('keyfile') with capture(run_runner) as output: self.assertEquals(output, 'Success! Deleted: {}/default/keyfile\n'.format(self.project_name())) def test_file_listing(self): sys.argv.append('put') sys.argv.append('key') sys.argv.append('value') with capture(run_runner) as output: self.assertEquals(output, 'Success! Wrote: {}/default/key\n'.format(self.project_name())) del sys.argv[1:] sys.argv.append('put') sys.argv.append('keyfile') sys.argv.append(os.path.join(datadir(), 'upload.txt')) with capture(run_runner) as output: self.assertEquals(output, 'Success! Wrote: {}/default/keyfile\n'.format(self.project_name())) del sys.argv[1:] sys.argv.append('config') with capture(run_runner) as output: self.assertEquals(output, 'Key Value\nkey value\nkeyfile <FILE>\n') del sys.argv[1:] sys.argv.append('config') sys.argv.append('--skip-files') with capture(run_runner) as output: self.assertEquals(output, 'Key Value\nkey value\n') del sys.argv[1:] sys.argv.append('delete') sys.argv.append('key') with capture(run_runner) as output: self.assertEquals(output, 'Success! Deleted: {}/default/key\n'.format(self.project_name())) del sys.argv[1:] sys.argv.append('delete') sys.argv.append('keyfile') with capture(run_runner) as output: self.assertEquals(output, 'Success! Deleted: {}/default/keyfile\n'.format(self.project_name()))

34.672043

107

0.61622

823

6,449

4.747266

0.132442

0.118249

0.166368

0.112618

0.779882

0.772204

0.770668

0.744561

0

0.003878

0.240347

6,449

185

108

34.859459

0.793019

0.011009

0

0.657895

0

0.140257

0

0.164474

1

0.085526

false

0

0.059211

0.013158

0.164474

0

null

0

1

0

null

0

5

6964ae2bafcfb23056a951c3d28f720333bc528b

104

py

Python

analytics/admin.py

Alexmhack/django_url_shorter

cbdad3b08db3558ba4383d29964f88e110b92119

[ "MIT" ]

null

analytics/admin.py

Alexmhack/django_url_shorter

cbdad3b08db3558ba4383d29964f88e110b92119

[ "MIT" ]

null

analytics/admin.py

Alexmhack/django_url_shorter

cbdad3b08db3558ba4383d29964f88e110b92119

[ "MIT" ]

null

from django.contrib import admin from .models import ClickAnalytic admin.site.register(ClickAnalytic)

17.333333

34

0.836538

13

104

6.692308

0.692308

0

0.105769

104

5

35

20.8

0.935484

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

c611693322b62f3eb2fc98d6958031b357db34a1

116

py

Python

basics/dice.py

ashwinkonireddy/pythonAutomation

d551a51744a4f8ba3d6f8def3c070f6565ac233f

[ "MIT" ]

null

basics/dice.py

ashwinkonireddy/pythonAutomation

d551a51744a4f8ba3d6f8def3c070f6565ac233f

[ "MIT" ]

null

basics/dice.py

ashwinkonireddy/pythonAutomation

d551a51744a4f8ba3d6f8def3c070f6565ac233f

[ "MIT" ]

null

import random dice1 = random.randint(1,6) dice2 = random.randint(1,6) print("Rolling Dice...!!") print(dice1, dice2)

23.2

27

0.715517

18

116

4.611111

0.555556

0.313253

0.337349

0.361446

0

0.07619

0.094828

116

5

28

23.2

0.714286

0

0.145299

0

1

0

false

0

0.2

0

0.2

0.4

1

0

null

1

0

1

0

null

0

5

c61813f33fb608bb73741d63ff2c5d778c5fc377

165

py

Python

topnav_capo2/scripts/constants/tty_ports.py

kasptom/topnav_ros_kasptom

9e7cd97ac0f5f22544880d71bcc91c9db4de528a

[ "Apache-2.0" ]

null

topnav_capo2/scripts/constants/tty_ports.py

kasptom/topnav_ros_kasptom

9e7cd97ac0f5f22544880d71bcc91c9db4de528a

[ "Apache-2.0" ]

null

topnav_capo2/scripts/constants/tty_ports.py

kasptom/topnav_ros_kasptom

9e7cd97ac0f5f22544880d71bcc91c9db4de528a

[ "Apache-2.0" ]

null

TTY_PORT_MAESTRO_DEFAULT = '/dev/ttyACM0' TTY_PORT_MAESTRO_FALLBACK_A = '/dev/ttyACM1' TTY_PORT_HOKUYO = '/dev/ttyACM2' TTY_PORT_MAESTRO_FALLBACK_B = '/dev/ttyACM3'

33

44

0.806061

25

165

4.8

0.52

0.233333

0.35

0.366667

0

0.026144

0.072727

165

4

45

41.25

0.75817

0

0.290909

0

1

0

false

0

1

0

null

1

0

1

0

null

0

5

c63c1d93f9c845b81f97bd8a104c3bd640afc21b

217

py

Python

book_selling/admin.py

AminovE99/BookSelling

e0e683ea262707f1cb71a9b4d4197ffc05c82b9d

[ "MIT" ]

null

book_selling/admin.py

AminovE99/BookSelling

e0e683ea262707f1cb71a9b4d4197ffc05c82b9d

[ "MIT" ]

2

2021-03-30T14:09:29.000Z

2021-06-04T23:42:47.000Z

book_selling/admin.py

AminovE99/BookSelling

e0e683ea262707f1cb71a9b4d4197ffc05c82b9d

[ "MIT" ]

null

from django.contrib import admin # Register your models here. from book_selling.models import Book, Author, PurchaseRequest admin.site.register(Author) admin.site.register(Book) admin.site.register(PurchaseRequest)

24.111111

61

0.824885

29

217

6.137931

0.482759

0.151685

0.286517

0

0.092166

217

8

62

27.125

0.903553

0.119816

0

1

0

true

0

0.4

0

0.4

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

d6c1508c0c2b393e923ebca495da95319b70f766

86

py

Python

pottermore/__init__.py

Ricotjhe/kennnyshiwa-cogs

5a596f298a6f7fe7502634793384a747060fc6c7

[ "MIT" ]

null

pottermore/__init__.py

Ricotjhe/kennnyshiwa-cogs

5a596f298a6f7fe7502634793384a747060fc6c7

[ "MIT" ]

null

pottermore/__init__.py

Ricotjhe/kennnyshiwa-cogs

5a596f298a6f7fe7502634793384a747060fc6c7

[ "MIT" ]

null

from .pottermore import Pottermore def setup(bot): bot.add_cog(Pottermore(bot))

14.333333

34

0.744186

12

86

5.25

0.666667

0

0.151163

86

5

35

17.2

0.863014

0

1

0.333333

false

0

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

d6e418ff153bb2d8cc66694677513c856e325f98

60

py

Python

deformetrica/core/model_tools/attachments/__init__.py

coolteemf/coolteemf-deformetrica

f965d6ecc0d04f243e487468a9dafe9fe864eed2

[ "MIT" ]

2

2022-03-04T11:19:30.000Z

2022-03-08T04:47:22.000Z

deformetrica/core/model_tools/attachments/__init__.py

lepennec/Deformetrica_multiscale

dbcb69962dd02f14dde5d63a9abc1de69112f273

[ "MIT" ]

null

deformetrica/core/model_tools/attachments/__init__.py

lepennec/Deformetrica_multiscale

dbcb69962dd02f14dde5d63a9abc1de69112f273

[ "MIT" ]

1

2022-03-07T09:52:52.000Z

from .multi_object_attachment import MultiObjectAttachment

20

58

0.9

6

60

8.666667

1

0

0.083333

60

2

59

30

0.945455

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

d6ec27b66a57a314f083fb8dc330d197c7a43292

9,629

py

Python

test/test_batch.py

aspose-words-cloud/aspose-words-cloud-python

65c7b55fa4aac69b60d41e7f54aed231df285479

[ "MIT" ]

14

2018-07-15T17:01:52.000Z

2018-11-29T06:15:33.000Z

test/test_batch.py

aspose-words-cloud/aspose-words-cloud-python

65c7b55fa4aac69b60d41e7f54aed231df285479

[ "MIT" ]

1

2018-09-28T12:59:34.000Z

2019-10-08T08:42:59.000Z

test/test_batch.py

aspose-words-cloud/aspose-words-cloud-python

65c7b55fa4aac69b60d41e7f54aed231df285479

[ "MIT" ]

2

2020-12-21T07:59:17.000Z

2022-02-16T21:41:25.000Z

# coding: utf-8 # ----------------------------------------------------------------------------------- # <copyright company="Aspose" file="test_batch.py"> # Copyright (c) 2021 Aspose.Words for Cloud # </copyright> # <summary> # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in all # copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE # SOFTWARE. # </summary> # ----------------------------------------------------------------------------------- from urllib3 import request import asposewordscloud.models import os import asposewordscloud.models.requests from test.base_test_context import BaseTestContext class TestBatch(BaseTestContext): test_folder = 'DocumentElements/Bookmarks' # # Test for batch request # def test_batch(self): filename = 'test_multi_pages.docx' remote_name = 'TestBatchParagraphs.docx' file = open(os.path.join(self.local_test_folder, self.local_common_folder, filename), 'rb') remote_path = os.path.join(self.remote_test_folder, self.test_folder, remote_name) remote_folder = os.path.join(self.remote_test_folder, self.test_folder) paragraph = asposewordscloud.models.ParagraphInsert(text="This is a new paragraph for your document") request0 = asposewordscloud.models.requests.UploadFileRequest(file, remote_path) request1 = asposewordscloud.models.requests.GetParagraphsRequest(name=remote_name, node_path="sections/0", folder=remote_folder) request2 = asposewordscloud.models.requests.GetParagraphRequest(name=remote_name, index=0, node_path="sections/0", folder=remote_folder) request3 = asposewordscloud.models.requests.InsertParagraphRequest(name=remote_name, paragraph=paragraph, node_path="sections/0", folder=remote_folder) request4 = asposewordscloud.models.requests.DeleteParagraphRequest(name=remote_name, index=0, node_path="", folder=remote_folder) reportingFolder = 'DocumentActions/Reporting' localDocumentFile = 'ReportTemplate.docx' localDataFile = open(os.path.join(self.local_test_folder, reportingFolder + '/ReportData.json')).read() requestReportEngineSettings = asposewordscloud.ReportEngineSettings(data_source_type='Json', data_source_name='persons') request5 = asposewordscloud.models.requests.BuildReportOnlineRequest( template=open(os.path.join(self.local_test_folder, reportingFolder + '/' + localDocumentFile), 'rb'), data=localDataFile, report_engine_settings=requestReportEngineSettings) self.words_api.upload_file(request0) batch_request1 = asposewordscloud.models.requests.BatchRequest(request = request1) batch_request2 = asposewordscloud.models.requests.BatchRequest(request = request2) batch_request3 = asposewordscloud.models.requests.BatchRequest(request = request3) batch_request4 = asposewordscloud.models.requests.BatchRequest(request = request4) batch_request5 = asposewordscloud.models.requests.BatchRequest(request = request5) result = self.words_api.batch(batch_request1, batch_request2, batch_request3, batch_request4, batch_request5) self.assertEqual(len(result), 5) self.assertIsInstance(result[0], asposewordscloud.ParagraphLinkCollectionResponse) self.assertIsInstance(result[1], asposewordscloud.ParagraphResponse) self.assertIsInstance(result[2], asposewordscloud.ParagraphResponse) self.assertIsNone(result[3]) self.assertIsInstance(result[4], str) # # Test for batch request without returning of intermediate results # def test_batch_without_intermidiate_results(self): filename = 'test_multi_pages.docx' remote_name = 'TestBatchParagraphs.docx' file = open(os.path.join(self.local_test_folder, self.local_common_folder, filename), 'rb') remote_path = os.path.join(self.remote_test_folder, self.test_folder, remote_name) remote_folder = os.path.join(self.remote_test_folder, self.test_folder) paragraph = asposewordscloud.models.ParagraphInsert(text="This is a new paragraph for your document") request0 = asposewordscloud.models.requests.UploadFileRequest(file, remote_path) request1 = asposewordscloud.models.requests.GetParagraphsRequest(name=remote_name, node_path="sections/0", folder=remote_folder) request2 = asposewordscloud.models.requests.GetParagraphRequest(name=remote_name, index=0, node_path="sections/0", folder=remote_folder) request3 = asposewordscloud.models.requests.InsertParagraphRequest(name=remote_name, paragraph=paragraph, node_path="sections/0", folder=remote_folder) request4 = asposewordscloud.models.requests.DeleteParagraphRequest(name=remote_name, index=0, node_path="", folder=remote_folder) reportingFolder = 'DocumentActions/Reporting' localDocumentFile = 'ReportTemplate.docx' localDataFile = open(os.path.join(self.local_test_folder, reportingFolder + '/ReportData.json')).read() requestReportEngineSettings = asposewordscloud.ReportEngineSettings(data_source_type='Json', data_source_name='persons') request5 = asposewordscloud.models.requests.BuildReportOnlineRequest( template=open(os.path.join(self.local_test_folder, reportingFolder + '/' + localDocumentFile), 'rb'), data=localDataFile, report_engine_settings=requestReportEngineSettings) self.words_api.upload_file(request0) batch_request1 = asposewordscloud.models.requests.BatchRequest(request = request1) batch_request2 = asposewordscloud.models.requests.BatchRequest(request = request2) batch_request3 = asposewordscloud.models.requests.BatchRequest(request = request3) batch_request4 = asposewordscloud.models.requests.BatchRequest(request = request4) batch_request5 = asposewordscloud.models.requests.BatchRequest(request = request5) result = self.words_api.batch_with_options(True, batch_request1, batch_request2, batch_request3, batch_request4, batch_request5) self.assertEqual(len(result), 1) self.assertIsInstance(result[0], str) # # Test for a batch with depend on feature # def test_batch_with_reversed_order(self): filename = 'test_multi_pages.docx' remote_name = 'test_batch_with_reversed_order.docx' file = open(os.path.join(self.local_test_folder, self.local_common_folder, filename), 'rb') remote_path = os.path.join(self.remote_test_folder, self.test_folder, remote_name) remote_folder = os.path.join(self.remote_test_folder, self.test_folder) self.upload_file(remote_folder + '/' + remote_name, file) request1 = asposewordscloud.models.requests.GetParagraphsRequest(name=remote_name, node_path="sections/0", folder=remote_folder) request2 = asposewordscloud.models.requests.GetParagraphRequest(name=remote_name, index=0, node_path="sections/0", folder=remote_folder) batch_request1 = asposewordscloud.models.requests.BatchRequest(request=request1) batch_request2 = asposewordscloud.models.requests.BatchRequest(request=request2) batch_request1.depends_on(batch_request2) result = self.words_api.batch(batch_request1, batch_request2) self.assertEqual(len(result), 2) self.assertIsInstance(result[0], asposewordscloud.models.ParagraphResponse) self.assertIsInstance(result[1], asposewordscloud.models.ParagraphLinkCollectionResponse) # # Test for a batch with resultOf feature # def test_batch_with_result_of(self): filename = 'test_multi_pages.docx' remote_name = 'test_batch_with_result_of.docx' file = open(os.path.join(self.local_test_folder, self.local_common_folder, filename), 'rb') remote_path = os.path.join(self.remote_test_folder, self.test_folder, remote_name) remote_folder = os.path.join(self.remote_test_folder, self.test_folder) self.upload_file(remote_folder + '/' + remote_name, file) request1 = asposewordscloud.models.requests.GetDocumentWithFormatRequest(name=remote_name, format='docx', folder=remote_folder) batch_request1 = asposewordscloud.models.requests.BatchRequest(request=request1) request2 = asposewordscloud.models.requests.DeleteCommentsOnlineRequest(document=batch_request1.use_as_source()) batch_request2 = asposewordscloud.models.requests.BatchRequest(request=request2) batch_request2.depends_on(batch_request1) result = self.words_api.batch(batch_request1, batch_request2) self.assertEqual(len(result), 2) self.assertIsInstance(result[1], str)

59.807453

159

0.743795

1,077

9,629

6.467967

0.192201

0.113695

0.133506

0.032156

0.748062

0.709589

0.698823

0

0.011865

0.151002

9,629

161

160

59.807453

0.840245

0.15713

0

0.693878

0

0.067706

0.033791

0

0.132653

1

0.040816

false

0

0.05102

0

0.112245

0

null

0

1

0

null

0

5

ba353270b6125152dc98244558debcc4dfc147e5

124

py

Python

reinvent_chemistry/library_design/aizynth/synthetic_pathway_dto.py

MolecularAI/reinvent-chemistry

bf0235bc2b1168b1db54c1e04bdba04b166ab7bf

[ "MIT" ]

null

reinvent_chemistry/library_design/aizynth/synthetic_pathway_dto.py

MolecularAI/reinvent-chemistry

bf0235bc2b1168b1db54c1e04bdba04b166ab7bf

[ "MIT" ]

null

reinvent_chemistry/library_design/aizynth/synthetic_pathway_dto.py

MolecularAI/reinvent-chemistry

bf0235bc2b1168b1db54c1e04bdba04b166ab7bf

[ "MIT" ]

1

2022-03-22T15:24:13.000Z

from typing import List from dataclasses import dataclass @dataclass class SyntheticPathwayDTO: precursors: List[str]

15.5

33

0.806452

14

124

7.142857

0.714286

0

0.153226

124

8

34

15.5

0.952381

0

1

0

true

0

0.4

0

0.8

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

ba6435a43db76926253b5754706fe35d94aaa8e9

400

py

Python

logical/collection.py

MichaelKim0407/logical-func

5a6925edc4f0ca0d2379fa8558f8f61367f0259c

[ "MIT" ]

null

logical/collection.py

MichaelKim0407/logical-func

5a6925edc4f0ca0d2379fa8558f8f61367f0259c

[ "MIT" ]

null

logical/collection.py

MichaelKim0407/logical-func

5a6925edc4f0ca0d2379fa8558f8f61367f0259c

[ "MIT" ]

null

from ._base import ( BaseFunction as _BaseFunction, ) class In(_BaseFunction): def __init__(self, collection): self.__collection = collection def __call__(self, item): return item in self.__collection class Contains(_BaseFunction): def __init__(self, item): self.__item = item def __call__(self, collection): return self.__item in collection

20

40

0.68

44

400

5.545455

0.340909

0.229508

0.155738

0.188525

0

0.24

400

19

41

21.052632

0.802632

0

1

0.307692

false

0

0.076923

0.153846

0.692308

0

null

1

0

1

0

null

0

1

0

1

0

5

ba9067952231e5c9b5ea55dbf7c651e00454d8c4

65

py

Python

python/python_backup/Python_Progs/PYTHON_LEGACY_PROJECTS/Path_Of_Current_Prog.py

SayanGhoshBDA/code-backup

8b6135facc0e598e9686b2e8eb2d69dd68198b80

[ "MIT" ]

16

2018-11-26T08:39:42.000Z

2019-05-08T10:09:52.000Z

python/python_backup/Python_Progs/PYTHON_LEGACY_PROJECTS/Path_Of_Current_Prog.py

SayanGhoshBDA/code-backup

8b6135facc0e598e9686b2e8eb2d69dd68198b80

[ "MIT" ]

8

2020-05-04T06:29:26.000Z

2022-02-12T05:33:16.000Z

python/python_backup/Python_Progs/PYTHON_LEGACY_PROJECTS/Path_Of_Current_Prog.py

SayanGhoshBDA/code-backup

8b6135facc0e598e9686b2e8eb2d69dd68198b80

[ "MIT" ]

5

2020-02-11T16:02:21.000Z

2021-02-05T07:48:30.000Z

import os print("Current File Name :",os.path.realpath(__file__))

32.5

55

0.769231

10

65

4.6

0.8

0

0.076923

65

2

55

32.5

0.766667

0

0.287879

0

1

0

true

0

0.5

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

ba9a19b29f60230597199d63113670afa8c06e73

17

py

Python

tools/libari/libari/__init__.py

seemoo-lab/aristoteles

092c746d2a211bb4edc1b60072487a94e8a97c99

[ "MIT" ]

21

2021-08-30T13:25:08.000Z

2021-12-09T16:48:25.000Z

tools/libari/libari/__init__.py

seemoo-lab/aristoteles

092c746d2a211bb4edc1b60072487a94e8a97c99

[ "MIT" ]

5

2021-09-03T20:33:37.000Z

2021-11-28T21:01:00.000Z

tools/libari/libari/__init__.py

seemoo-lab/aristoteles

092c746d2a211bb4edc1b60072487a94e8a97c99

[ "MIT" ]

3

2021-09-03T20:08:47.000Z

2021-11-05T21:10:02.000Z

# libari package

8.5

16

0.764706

2

17

6.5

1

0

0.176471

17

1

17

0.928571

0.823529

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

246132e72d210d6a52d4ff4f3edb07d17953b785

14

py

Python

exercises/01.python-for-everybody/chapter02/exercise01.py

Fabricio-Lopees/computer-science-learning

e8cfcd468f9fdbaa1cacf803d0dade04a99eb19a

[ "MIT" ]

null

exercises/01.python-for-everybody/chapter02/exercise01.py

Fabricio-Lopees/computer-science-learning

e8cfcd468f9fdbaa1cacf803d0dade04a99eb19a

[ "MIT" ]

null

exercises/01.python-for-everybody/chapter02/exercise01.py

Fabricio-Lopees/computer-science-learning

e8cfcd468f9fdbaa1cacf803d0dade04a99eb19a

[ "MIT" ]

null

x=5 print(x+1)

7

10

0.642857

5

14

1.8

0.8

0

0.153846

0.071429

14

2

10

7

0.538462

0

1

0

false

0

0.5

1

null

0

1

0

null

0

1

0

5

246973f6e51807e9dd7ebb6a90e8ba903b77330d

287

py

Python

yawhois/parser/whois_1und1_info.py

huyphan/pyyawhois

77fb2f73a9c67989f1d41d98f37037406a69d136

[ "MIT" ]

null

yawhois/parser/whois_1und1_info.py

huyphan/pyyawhois

77fb2f73a9c67989f1d41d98f37037406a69d136

[ "MIT" ]

null

yawhois/parser/whois_1und1_info.py

huyphan/pyyawhois

77fb2f73a9c67989f1d41d98f37037406a69d136

[ "MIT" ]

null

from ..scanner.base_icann_compliant import BaseIcannCompliantScanner from .base_icann_compliant import BaseIcannCompliantParser class Whois1und1InfoParser(BaseIcannCompliantParser): _scanner = BaseIcannCompliantScanner, { "pattern_available": "Domain (.+) is not registered here."}

47.833333

103

0.836237

25

287

9.36

0.68

0.076923

0.153846

0.205128

0

0.007663

0.090592

287

5

104

57.4

0.888889

0

0.181185

0

1

0

false

0

0.5

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

79fc6ec847e2745bae28a37dc14b458ac3efd6ec

94

py

Python

gromos2amber/__init__.py

ATB-UQ/gromos2amber

4d1686e6443de151c94a14d32c5bc338677d97d9

[ "MIT" ]

null

gromos2amber/__init__.py

ATB-UQ/gromos2amber

4d1686e6443de151c94a14d32c5bc338677d97d9

[ "MIT" ]

null

gromos2amber/__init__.py

ATB-UQ/gromos2amber

4d1686e6443de151c94a14d32c5bc338677d97d9

[ "MIT" ]

null

from .Converter import convert from .Errors import GromosFormatError, IllegalArgumentError

18.8

59

0.840426

9

94

8.777778

0.777778

0

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4

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0

true

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null

0

1

0

null

0

1

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1

0

1

0

5

0373fd146162b67695cb706a4555bab894724196

110

py

Python

vigir_flexbe_states/src/vigir_flexbe_states/proxy/__init__.py

team-vigir/vigir_behaviors

6696e7b7aadb24bb5495475065cc7b10d80b7db4

[ "BSD-3-Clause" ]

5

2015-08-25T18:47:52.000Z

2019-12-04T21:40:28.000Z

vigir_flexbe_states/src/vigir_flexbe_states/proxy/__init__.py

team-vigir/vigir_behaviors

6696e7b7aadb24bb5495475065cc7b10d80b7db4

[ "BSD-3-Clause" ]

2

2017-08-16T16:09:47.000Z

2020-08-18T17:25:22.000Z

vigir_flexbe_states/src/vigir_flexbe_states/proxy/__init__.py

team-vigir/vigir_behaviors

6696e7b7aadb24bb5495475065cc7b10d80b7db4

[ "BSD-3-Clause" ]

5

2015-11-06T21:57:37.000Z

2022-03-30T10:15:57.000Z

import roslib; roslib.load_manifest('vigir_flexbe_states') from proxy_moveit_client import ProxyMoveitClient

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36.666667

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1

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1

0

5

cee63db52fbd34b74083ced6ba2e1f2b683bf73d

54

py

Python

casbin/persist/__init__.py

dwang7/pycasbin

c0d537dc8613146555fc03fa23b503b39260385e

[ "Apache-2.0" ]

null

casbin/persist/__init__.py

dwang7/pycasbin

c0d537dc8613146555fc03fa23b503b39260385e

[ "Apache-2.0" ]

null

casbin/persist/__init__.py

dwang7/pycasbin

c0d537dc8613146555fc03fa23b503b39260385e

[ "Apache-2.0" ]

null

from .adapter import * from .adapter_filtered import *

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54

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31

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0

true

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0

1

0

null

0

1

0

1

0

5

cef385a6b7a2905ecfadf00112c9d9e406d3b98b

66

py

Python

pyexlatex/figure/models/__init__.py

whoopnip/py-ex-latex

66f5fadc35a0bfdce5f1ccb3c80dce8885b061b6

[ "MIT" ]

4

2020-06-08T07:17:12.000Z

2021-11-04T21:39:52.000Z

pyexlatex/figure/models/__init__.py

nickderobertis/py-ex-latex

66f5fadc35a0bfdce5f1ccb3c80dce8885b061b6

[ "MIT" ]

24

2020-02-17T17:20:44.000Z

2021-12-20T00:10:19.000Z

pyexlatex/figure/models/__init__.py

nickderobertis/py-ex-latex

66f5fadc35a0bfdce5f1ccb3c80dce8885b061b6

[ "MIT" ]

null

from .figure import Figure, Subfigure from .graphic import Graphic

33

37

0.833333

9

66

6.111111

0.555556

0

0.121212

66

2

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33

0.948276

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true

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1

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1

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null

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1

0

null

0

1

0

1

0

1

0

5

cef5e2877c1fc83a5baa59e95ebcc2ed9a805d87

45

py

Python

pylss/__main__.py

saptarshibasu15/py-ls

a0809d78edb6356c07d1db12d34a81e6f39427e4

[ "MIT" ]

1

2020-11-26T05:17:44.000Z

pylss/__main__.py

saptarshibasu15/pylss

a0809d78edb6356c07d1db12d34a81e6f39427e4

[ "MIT" ]

null

pylss/__main__.py

saptarshibasu15/pylss

a0809d78edb6356c07d1db12d34a81e6f39427e4

[ "MIT" ]

null

from __init__ import getDirList getDirList()

15

31

0.844444

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45

6.8

0.8

0

0.111111

45

3

32

15

0.85

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1

0

true

0

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0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

300499f62b244105a35af859f85204fad3cba2d3

35

py

Python

smpy/__init__.py

canbatuhan/smpy

36bc0a3bad3cfa77b6d15316ae8cdd39eee3721e

[ "MIT" ]

1

2022-02-22T17:21:17.000Z

smpy/__init__.py

canbatuhan/smpy

36bc0a3bad3cfa77b6d15316ae8cdd39eee3721e

[ "MIT" ]

null

smpy/__init__.py

canbatuhan/smpy

36bc0a3bad3cfa77b6d15316ae8cdd39eee3721e

[ "MIT" ]

null

from .fsm import FiniteStateMachine

35

0.885714

4

35

7.75

1

0

0.085714

35

1

35

0.96875

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

304d1b3dc88e9dbbea6e0b76f05a0448ffa7e912

138

py

Python

async_dns/request/__init__.py

gera2ld/async_dns

e82066415f334f0a6518056643b58e475abb117f

[ "MIT" ]

59

2017-01-22T04:46:04.000Z

2022-03-18T08:31:38.000Z

async_dns/request/__init__.py

gera2ld/async_dns

e82066415f334f0a6518056643b58e475abb117f

[ "MIT" ]

26

2017-05-09T05:20:53.000Z

2021-10-02T10:42:55.000Z

async_dns/request/__init__.py

gera2ld/async_dns

e82066415f334f0a6518056643b58e475abb117f

[ "MIT" ]

21

2017-05-08T20:50:19.000Z

2022-02-04T19:19:43.000Z

from .udp import Dispatcher from .util import ConnectionPool def clean(): ConnectionPool.destroy_all() Dispatcher.destroy_all()

17.25

32

0.76087

16

138

6.4375

0.625

0.194175

0

0.15942

138

7

33

19.714286

0.887931

0

1

0.2

true

0

0.4

0

0.6

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

3054af9326dd3a642556813afbd57137003acdcc

95

py

Python

src/rosbag_pandas/__init__.py

simontegelid/rosbag_pandas

65383173164ab1cc4f169e6f4be077ca4f344b19

[ "Apache-2.0" ]

null

src/rosbag_pandas/__init__.py

simontegelid/rosbag_pandas

65383173164ab1cc4f169e6f4be077ca4f344b19

[ "Apache-2.0" ]

null

src/rosbag_pandas/__init__.py

simontegelid/rosbag_pandas

65383173164ab1cc4f169e6f4be077ca4f344b19

[ "Apache-2.0" ]

1

2020-01-27T14:46:30.000Z

from .rosbag_pandas import RosbagPandaException, bag_to_dataframe, topics_from_keys, POSTPROCS

47.5

94

0.884211

12

95

6.583333

0.916667

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0.073684

95

1

95

0.897727

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1

0

true

0

1

0

1

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1

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null

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1

0

null

0

1

0

1

0

1

0

5

06280eb58b9dd22cc2b0987d166deeb0f33a550d

33

py

Python

PCAtomography/__init__.py

muryelgp/PCAtomography

ed385f7180b984d465095364a49259e85057eff9

[ "MIT" ]

null

PCAtomography/__init__.py

muryelgp/PCAtomography

ed385f7180b984d465095364a49259e85057eff9

[ "MIT" ]

null

PCAtomography/__init__.py

muryelgp/PCAtomography

ed385f7180b984d465095364a49259e85057eff9

[ "MIT" ]

null

from .datacube import IFUcube

11

30

0.757576

4

33

6.25

1

0

0.212121

33

2

31

16.5

0.961538

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true

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1

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null

0

1

0

null

0

1

0

1

0

5

062f0f3c67530607a7689d235602a1203a8e788d

214

py

Python

ui/vendor/qt.py

edart76/tree

743d14a819c057c50bd4f84ed0712768cb4ba582

[ "Apache-2.0" ]

null

ui/vendor/qt.py

edart76/tree

743d14a819c057c50bd4f84ed0712768cb4ba582

[ "Apache-2.0" ]

null

ui/vendor/qt.py

edart76/tree

743d14a819c057c50bd4f84ed0712768cb4ba582

[ "Apache-2.0" ]

null

"""Try to import PySide6 - fall back to PySide2""" try: import PySide6 as qt from PySide6 import QtCore, QtWidgets, QtGui except: import PySide2 as qt from PySide2 import QtCore, QtWidgets, QtGui

21.4

50

0.71028

30

214

5.066667

0.466667

0.171053

0.105263

0.342105

0

0.036364

0.228972

214

9

51

23.777778

0.884848

0.205607

0

1

0

true

0

0.666667

0

0.666667

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

5

0654e986b6be1b4a7a2384408a914e4805e53b0a

82

py

Python

{{ cookiecutter.model_name.lower()}}/src/{{cookiecutter.model_name.lower()}}/predict.py

KasperJuunge/mlcutter

6e0126786ebe776180169f9abf0ca7ef9a6a1287

[ "MIT" ]

4

2021-03-25T09:49:10.000Z

2021-05-25T09:05:07.000Z

{{ cookiecutter.model_name.lower()}}/src/{{cookiecutter.model_name.lower()}}/predict.py

KasperJuunge/mlcutter

6e0126786ebe776180169f9abf0ca7ef9a6a1287

[ "MIT" ]

7

2021-03-08T09:30:44.000Z

2021-07-05T11:51:43.000Z

{{ cookiecutter.model_name.lower()}}/src/{{cookiecutter.model_name.lower()}}/predict.py

KasperJuunge/mlcutter

6e0126786ebe776180169f9abf0ca7ef9a6a1287

[ "MIT" ]

3

2021-03-08T06:42:17.000Z

2021-11-30T11:11:14.000Z

def predict(): # make prediction with model print('Predict!') return

13.666667

32

0.621951

9

82

5.666667

0.888889

0

0.268293

82

5

33

16.4

0.85

0.317073

0

0.150943

0

1

0.333333

true

0

0.666667

0.333333

1

0

null

0

1

0

null

0

1

0

1

0

5

06ac87e3c954432c818f8007686b4f3a77d8c0a0

46

py

Python

CodeUp/1527.py

chae-heechan/Algorithm_Study

183a77e2cfe352cd82fb5e988b493082529a73dd

[ "MIT" ]

null

CodeUp/1527.py

chae-heechan/Algorithm_Study

183a77e2cfe352cd82fb5e988b493082529a73dd

[ "MIT" ]

null

CodeUp/1527.py

chae-heechan/Algorithm_Study

183a77e2cfe352cd82fb5e988b493082529a73dd

[ "MIT" ]

null

# 함수로 123 값 출력하기 def f(): print("123") f()

11.5

16

0.521739

9

46

2.666667

0.777778

0

0.176471

0.26087

46

4

17

11.5

0.529412

0.304348

0

0.096774

0

1

0.333333

true

0

0.333333

1

0

null

0

1

0

null

0

1

0

5

ebf2277e5c9f3378d3af78ce913746bb1df7d1ab

104

py

Python

geostore/import_dataset_keys.py

adisbladis/geostore

79439c06b33414e1e26b3aa4b93a72fd7cbbae83

[ "MIT" ]

25

2021-05-19T08:05:07.000Z

2022-03-14T02:48:58.000Z

geostore/import_dataset_keys.py

adisbladis/geostore

79439c06b33414e1e26b3aa4b93a72fd7cbbae83

[ "MIT" ]

311

2021-05-17T23:04:56.000Z

2022-03-31T10:41:44.000Z

geostore/import_dataset_keys.py

adisbladis/geostore

79439c06b33414e1e26b3aa4b93a72fd7cbbae83

[ "MIT" ]

1

2022-01-03T05:38:32.000Z

ORIGINAL_KEY_KEY = "original_key" NEW_KEY_KEY = "new_key" TARGET_BUCKET_NAME_KEY = "target_bucket_name"

26

45

0.826923

17

104

4.411765

0.352941

0.293333

0.24

0.506667

0

0.086538

104

3

46

34.666667

0.789474

0

0.355769

0

1

0

false

0

1

0

null

1

0

1

0

null

0

5

ebf8df5baa7707b0e8890dfadb1d30f0370c1cc2

283

py

Python

src/pyf/aggregator/plugins/__init__.py

collective/pyf.aggregator

f64b06e5f10dc7aa097317c63c510148b0c0705c

[ "Apache-2.0" ]

null

src/pyf/aggregator/plugins/__init__.py

collective/pyf.aggregator

f64b06e5f10dc7aa097317c63c510148b0c0705c

[ "Apache-2.0" ]

null

src/pyf/aggregator/plugins/__init__.py

collective/pyf.aggregator

f64b06e5f10dc7aa097317c63c510148b0c0705c

[ "Apache-2.0" ]

null

from .curated import load_curated from .github import load_github_stats from .version import load_version def register_plugins(PLUGINS, settings): PLUGINS.append(load_curated(settings)) PLUGINS.append(load_github_stats(settings)) PLUGINS.append(load_version(settings))

28.3

47

0.809187

37

283

5.945946

0.324324

0.136364

0.286364

0.340909

0

0.113074

283

9

48

31.444444

0.876494

0

1

0.142857

false

0

0.428571

0

0.571429

0

null

0

1

0

1

0

null

0

1

0

1

0

5

23539fdf992e94860fb379c263e487c816a41cd7

166

py

Python

chapter3/drawable.py

yuishihara/probabilistic_robotics_implementations

91115260cb95697f89b1413d49dd45ebe3014a53

[ "MIT" ]

null

chapter3/drawable.py

yuishihara/probabilistic_robotics_implementations

91115260cb95697f89b1413d49dd45ebe3014a53

[ "MIT" ]

null

chapter3/drawable.py

yuishihara/probabilistic_robotics_implementations

91115260cb95697f89b1413d49dd45ebe3014a53

[ "MIT" ]

null

class Drawable(object): def draw(self, ax): raise NotImplementedError( "Drawable object must implement draw(self, ax) but not implemented!!")

33.2

82

0.662651

19

166

5.789474

0.736842

0.254545

0.181818

0

0.240964

166

4

83

41.5

0.873016

0

0.403614

0

1

0.25

false

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

5

237317924a20ded58a554cbf0db6f2fc7a08d5d8

53

py

Python

data/__init__.py

aiainui/crnn-audio-classification

1e00177c692867bb8bed8bf5ae6196c612081c57

[ "MIT" ]

307

2019-03-17T04:43:13.000Z

2022-03-26T15:28:15.000Z

data/__init__.py

aiainui/crnn-audio-classification

1e00177c692867bb8bed8bf5ae6196c612081c57

[ "MIT" ]

20

2019-05-16T00:38:35.000Z

2022-03-18T03:22:45.000Z

data/__init__.py

aiainui/crnn-audio-classification

1e00177c692867bb8bed8bf5ae6196c612081c57

[ "MIT" ]

76

2019-05-15T18:07:09.000Z

2022-03-26T15:28:14.000Z

from .data_manager import * from .transforms import *

26.5

27

0.792453

7

53

5.857143

0.714286

0

0.132075

53

2

28

26.5

0.891304

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

88d0d2ade3733e13f2b0e351bd17c903ac3deb75

22

py

Python

pyomegle/__init__.py

goddessrachel/pyomegle

ac7a876f0892035473a75c20b8bfe0252882e4c6

[ "MIT" ]

1

2016-11-19T05:30:48.000Z

pyomegle/__init__.py

michaelmdresser/alexaomegle

42f8011fa20ecea5040feaa96f2667dc2fb16068

[ "MIT" ]

null

pyomegle/__init__.py

michaelmdresser/alexaomegle

42f8011fa20ecea5040feaa96f2667dc2fb16068

[ "MIT" ]

null

from pyomegle import *

22

0.818182

3

22

6

1

0

0.136364

22

1

22

0.947368

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

88f8cf634988a7578e9f769c4d169fc37f42f7d2

268

py

Python

CPython/bubblesort/bubbletest.py

aaronwinter/algostructure

08a56466f6fd925040b538c331c3d39edb81d6c5

[ "BSD-4-Clause" ]

1

2015-01-04T22:40:59.000Z

CPython/bubblesort/bubbletest.py

aaronwinter/algostructure

08a56466f6fd925040b538c331c3d39edb81d6c5

[ "BSD-4-Clause" ]

null

CPython/bubblesort/bubbletest.py

aaronwinter/algostructure

08a56466f6fd925040b538c331c3d39edb81d6c5

[ "BSD-4-Clause" ]

null

import bubblesort print bubblesort.sort([10,9,8,7,6,5,4,3,2,1]) print bubblesort.sort([1,2,3,4,5,6,7,8,9,10]) print bubblesort.sort([6,7,8,9,10,1,2,3,4,5]) print bubblesort.sort(12323123) print bubblesort.sort("thisshouldn'twork") # need to implement error checking

29.777778

77

0.731343

55

268

3.563636

0.4

0.382653

0.484694

0.040816

0.112245

0

0.165323

0.074627

268

8

78

33.5

0.625

0.119403

0

0.07265

0

null

0

0.166667

null

0.833333

0

null

1

0

1

0

null

0

1

0

1

0

5

000cdc513fca5a187655ec764195b891e5a35f52

205

py

Python

pynads/abc/__init__.py

justanr/gonads

4cd40eae04d3e738443d1232063c762b34784462

[ "MIT" ]

19

2015-03-21T07:47:15.000Z

2019-10-05T21:20:36.000Z

pynads/abc/__init__.py

justanr/gonads

4cd40eae04d3e738443d1232063c762b34784462

[ "MIT" ]

7

2015-03-31T14:30:26.000Z

2017-07-29T15:29:59.000Z

pynads/abc/__init__.py

justanr/gonads

4cd40eae04d3e738443d1232063c762b34784462

[ "MIT" ]

4

2017-10-18T08:07:46.000Z

2019-10-05T21:20:38.000Z

from .container import Container, ContainerABC from .functor import Functor from .applicative import Applicative from .monad import Monad from .monoid import Monoid from .option import Option, Full, Empty

29.285714

46

0.82439

27

205

6.259259

0.407407

0

0.131707

205

6

47

34.166667

0.949438

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

002a00e41bfd695598a3e8bc5d989361a35708b7

73

py

Python

dipy/viz/__init__.py

Garyfallidis/dipy

4341b734995d6f51ac9c16df26a7de00c46f57ef

[ "BSD-3-Clause" ]

3

2015-07-31T20:43:18.000Z

2019-07-26T13:58:07.000Z

dipy/viz/__init__.py

Garyfallidis/dipy

4341b734995d6f51ac9c16df26a7de00c46f57ef

[ "BSD-3-Clause" ]

9

2015-05-13T17:44:42.000Z

2018-05-27T20:09:55.000Z

dipy/viz/__init__.py

Garyfallidis/dipy

4341b734995d6f51ac9c16df26a7de00c46f57ef

[ "BSD-3-Clause" ]

3

2016-08-05T22:43:16.000Z

2017-06-23T18:35:13.000Z

# Init file for visualization package from ._show_odfs import show_odfs

18.25

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73

5.181818

0.818182

0.280702

0

0.150685

73

3

38

24.333333

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0

1

0

true

0

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null

1

0

1

0

null

0

1

0

1

0

5

cc53c75ab952ff72872e012fe17f37e26f03f750

70

py

Python

exp/guitest.py

zippybenjiman/PythonCraft

daeb9b4eac1530c98843bf8fc412345f58e37c97

[ "MIT" ]

51

2015-08-08T22:36:47.000Z

2022-03-02T20:20:54.000Z

exp/guitest.py

zippybenjiman/PythonCraft

daeb9b4eac1530c98843bf8fc412345f58e37c97

[ "MIT" ]

3

2016-04-12T16:36:58.000Z

2019-03-02T21:46:10.000Z

exp/guitest.py

zippybenjiman/PythonCraft

daeb9b4eac1530c98843bf8fc412345f58e37c97

[ "MIT" ]

13

2016-03-25T07:05:40.000Z

2021-08-15T12:19:04.000Z

import pygame from pygame.locals import * import zgui2 print("hello")

14

27

0.785714

10

70

5.5

0.7

0

0.016393

0.128571

70

5

28

14

0.885246

0

0.070423

0

1

0

true

0

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0.75

0.25

1

0

null

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1

0

null

0

1

0

1

0

1

0

5

cc5f19e91bc5f16eae42c45953b082b8a57f1dab

175

py

Python

mvlearn/construct/__init__.py

agramfort/mvlearn

7b3b8fc09c9ecafc91cd83672576ff6ed6057fed

[ "Apache-2.0" ]

1

2020-12-29T15:41:29.000Z

mvlearn/construct/__init__.py

agramfort/mvlearn

7b3b8fc09c9ecafc91cd83672576ff6ed6057fed

[ "Apache-2.0" ]

null

mvlearn/construct/__init__.py

agramfort/mvlearn

7b3b8fc09c9ecafc91cd83672576ff6ed6057fed

[ "Apache-2.0" ]

null

from .random_gaussian_projection import random_gaussian_projection from .rsm import random_subspace_method __all__ = ["random_gaussian_projection", "random_subspace_method"]

35

66

0.868571

21

175

6.571429

0.428571

0.304348

0.521739

0

0.074286

175

4

67

43.75

0.851852

0

0.274286

0

1

0

false

0

0.666667

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0.666667

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1

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null

1

0

1

0

null

0

1

0

5

cc89fa99bbd748ec11cbb4939600932beb76d07d

119

py

Python

app.py

9hax/simpleticket

a9fd9103f7bef1a5dc1968154b9e7f86ef7eb70e

[ "Apache-2.0" ]

1

2021-04-08T13:17:52.000Z

app.py

9hax/simpleticket

a9fd9103f7bef1a5dc1968154b9e7f86ef7eb70e

[ "Apache-2.0" ]

1

2021-04-10T19:52:45.000Z

2021-04-10T19:56:30.000Z

app.py

9hax/simpleticket

a9fd9103f7bef1a5dc1968154b9e7f86ef7eb70e

[ "Apache-2.0" ]

1

2021-04-10T19:49:42.000Z

# app.py is only used for the Flask Dev environment and should not be used in production. from simpleticket import app

39.666667

89

0.798319

21

119

4.52381

0.904762

0

0.176471

119

2

90

59.5

0.969388

0.731092

0

1

0

true

0

1

0

1

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0

null

0

1

0

null

0

1

0

1

0

1

0

5

ccd2e27a7803bb2024a3678d6755f771755cf784

131

py

Python

tools/tests/helperBuildInfo.py

spockthegray/mantaflow

df72cf235e14ef4f3f8fac9141b5e0a8707406b3

[ "Apache-2.0" ]

158

2018-06-24T17:42:13.000Z

2022-03-12T13:29:43.000Z

tools/tests/helperBuildInfo.py

spockthegray/mantaflow

df72cf235e14ef4f3f8fac9141b5e0a8707406b3

[ "Apache-2.0" ]

5

2018-09-05T07:30:48.000Z

2020-07-01T08:56:28.000Z

tools/tests/helperBuildInfo.py

spockthegray/mantaflow

df72cf235e14ef4f3f8fac9141b5e0a8707406b3

[ "Apache-2.0" ]

35

2018-06-13T04:05:42.000Z

2022-03-29T16:55:24.000Z

# Print build info from manta import * # note - executable should print by default, for safety, print again... printBuildInfo()

16.375

71

0.732824

17

131

5.647059

0.882353

0

0.183206

131

7

72

18.714286

0.897196

0.656489

0

1

0

true

0

0.5

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

aeb05bd791efe3887736963ef846e9fb440883b5

25

py

Python

Hello_world.py

Vishal2602/profiles-rest-api

d869ce3f5bd2ad7b87655cc2fa691ccba5b9f4fa

[ "MIT" ]

null

Hello_world.py

Vishal2602/profiles-rest-api

d869ce3f5bd2ad7b87655cc2fa691ccba5b9f4fa

[ "MIT" ]

null

Hello_world.py

Vishal2602/profiles-rest-api

d869ce3f5bd2ad7b87655cc2fa691ccba5b9f4fa

[ "MIT" ]

null

print('Hello World!!1');

12.5

24

0.64

4

25

4

1

0

0.043478

0.08

25

1

25

0.652174

0

0.56

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

aed980d1da896044428ef37dff7f2e29e5701f21

170

py

Python

allauth/socialaccount/providers/xing_provider/urls.py

Fuzzwah/django-allauth

071cbef1388bb61a563d3e41197bd5b7c26664d2

[ "MIT" ]

null

allauth/socialaccount/providers/xing_provider/urls.py

Fuzzwah/django-allauth

071cbef1388bb61a563d3e41197bd5b7c26664d2

[ "MIT" ]

null

allauth/socialaccount/providers/xing_provider/urls.py

Fuzzwah/django-allauth

071cbef1388bb61a563d3e41197bd5b7c26664d2

[ "MIT" ]

null

from allauth.socialaccount.providers.oauth_provider.urls import default_urlpatterns from .provider import XingProvider urlpatterns = default_urlpatterns(XingProvider)

24.285714

83

0.870588

18

170

8.055556

0.611111

0.248276

0

0.082353

170

6

84

28.333333

0.929487

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

4e12e852230fbd1498b5a6403a610eb181b3da47

98

py

Python

EEG_Lightning/dassl/engine/base/__init__.py

mcd4874/NeurIPS_competition

4df1f222929e9824a55c9c4ae6634743391b0fe9

[ "MIT" ]

23

2021-10-14T02:31:06.000Z

2022-01-25T16:26:44.000Z

EEG_Lightning/dassl/engine/base/__init__.py

mcd4874/NeurIPS_competition

4df1f222929e9824a55c9c4ae6634743391b0fe9

[ "MIT" ]

null

EEG_Lightning/dassl/engine/base/__init__.py

mcd4874/NeurIPS_competition

4df1f222929e9824a55c9c4ae6634743391b0fe9

[ "MIT" ]

1

2022-03-05T06:54:11.000Z

from .base_model import BaseModel from .FBCNet import FBCNet from .deepconvnet import DeepConvNet

24.5

36

0.846939

13

98

6.307692

0.538462

0

0.122449

98

3

37

32.666667

0.953488

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

4e1305e72b64e7f8602f8ac328aca2ba3064fca2

103

py

Python

_helpers.py

imallett/apparent-brightness-of-monochromatic-sources

4ac6dae23b4edb79f319e0bd1322db4c4f7d8098

[ "MIT" ]

null

_helpers.py

imallett/apparent-brightness-of-monochromatic-sources

4ac6dae23b4edb79f319e0bd1322db4c4f7d8098

[ "MIT" ]

null

_helpers.py

imallett/apparent-brightness-of-monochromatic-sources

4ac6dae23b4edb79f319e0bd1322db4c4f7d8098

[ "MIT" ]

null

def rndint(x): return int(round(x)) def lerp(val0,val1, t): return val0*(1.0-t) + val1*t

17.166667

33

0.572816

19

103

3.105263

0.631579

0.169492

0

0.076923

0.242718

103

5

34

20.6

0.679487

0

1

0.5

false

0

0.5

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

9d91394f502cd96c457ccdc2d7af10863660a672

159

py

Python

addresses/__init__.py

obezpalko/ip-map

e3befecb8a6c733daa78d8ae550857d9ff2c91c7

[ "MIT" ]

null

addresses/__init__.py

obezpalko/ip-map

e3befecb8a6c733daa78d8ae550857d9ff2c91c7

[ "MIT" ]

null

addresses/__init__.py

obezpalko/ip-map

e3befecb8a6c733daa78d8ae550857d9ff2c91c7

[ "MIT" ]

null

#!/usr/bin/env python if __name__ == '__main__': import amazon, IANA print('Ok') print(IANA.Networks().get()) print(amazon.Networks().get())

17.666667

34

0.616352

20

159

4.5

0.7

0.244444

0

0.188679

159

8

35

19.875

0.697674

0.125786

0

0.072464

0

1

0

true

0

0.2

0

0.2

0.6

1

0

null

1

0

1

0

null

0

1

0

1

0

5

9da67a1f4b954a83d4ecc43622c5d74f9e8c6784

304

py

Python

rubin_sim/photUtils/__init__.py

RileyWClarke/flarubin

eb7b1ee21c828523f8a5374fe4510fe6e5ec2a2a

[ "MIT" ]

null

rubin_sim/photUtils/__init__.py

RileyWClarke/flarubin

eb7b1ee21c828523f8a5374fe4510fe6e5ec2a2a

[ "MIT" ]

null

rubin_sim/photUtils/__init__.py

RileyWClarke/flarubin

eb7b1ee21c828523f8a5374fe4510fe6e5ec2a2a

[ "MIT" ]

null

from .LSSTdefaults import * from .PhysicalParameters import * from .Sed import * from .Bandpass import * from .SedUtils import * from .BandpassDict import * from .SedList import * from .PhotometricParameters import * from .SignalToNoise import * from .CosmologyObject import * from .BandpassSet import *

25.333333

36

0.782895

33

304

7.212121

0.393939

0.420168

0

0.144737

304

11

37

27.636364

0.915385

0

1

0

true

0.272727

1

0

1

0

null

1

0

null

0

1

0

1

0

5

d1791c60b815526d192e7feae56a0953bdd4bfb7

50

py

Python

pynache/data/__init__.py

MrinalJain17/neural-style-transfer

c4f1c83fb7c5cb16dbd1d5da5eed584e3733f618

[ "MIT" ]

3

2020-12-30T23:52:45.000Z

2021-08-24T21:46:24.000Z

pynache/data/__init__.py

MrinalJain17/neural-style-transfer

c4f1c83fb7c5cb16dbd1d5da5eed584e3733f618

[ "MIT" ]

null

pynache/data/__init__.py

MrinalJain17/neural-style-transfer

c4f1c83fb7c5cb16dbd1d5da5eed584e3733f618

[ "MIT" ]

null

from .load_inputs import load_content, load_style

25

49

0.86

8

50

5

0.75

0

0.1

50

1

50

0.888889

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

d19445906517d64fde6e1e1f12e2719763b51f21

2,310

py

Python

grouped_by_commas/test_grouped_by_commas.py

philipwerner/code-katas

3bdce2b5d12df612e7c8f2e2b8b5ebe16a653712

[ "MIT" ]

null

grouped_by_commas/test_grouped_by_commas.py

philipwerner/code-katas

3bdce2b5d12df612e7c8f2e2b8b5ebe16a653712

[ "MIT" ]

null

grouped_by_commas/test_grouped_by_commas.py

philipwerner/code-katas

3bdce2b5d12df612e7c8f2e2b8b5ebe16a653712

[ "MIT" ]

null

import pytest def test_group_by_commas(): """Tests that commas are inserted properly.""" from grouped_by_commas import group_by_commas n = 1 assert group_by_commas(n) == '1' def test_group_by_commas2(): """Tests that commas are inserted properly.""" from grouped_by_commas import group_by_commas n = 10 assert group_by_commas(n) == '10' def test_group_by_commas3(): """Tests that commas are inserted properly.""" from grouped_by_commas import group_by_commas n = 100 assert group_by_commas(n) == '100' def test_group_by_commas4(): """Tests that commas are inserted properly.""" from grouped_by_commas import group_by_commas n = 1000 assert group_by_commas(n) == '1,000' def test_group_by_commas5(): """Tests that commas are inserted properly.""" from grouped_by_commas import group_by_commas n = 10000 assert group_by_commas(n) == '10,000' def test_group_by_commas6(): """Tests that commas are inserted properly.""" from grouped_by_commas import group_by_commas n = 100000 assert group_by_commas(n) == '100,000' def test_group_by_commas7(): """Tests that commas are inserted properly.""" from grouped_by_commas import group_by_commas n = 1000000 assert group_by_commas(n) == '1,000,000' def test_group_by_commas8(): """Tests that commas are inserted properly.""" from grouped_by_commas import group_by_commas n = 35235235 assert group_by_commas(n) == '35,235,235' def test_group_by_commas9(): """Tests that commas are inserted properly.""" from grouped_by_commas import group_by_commas n = 789067 assert group_by_commas(n) == '789,067' def test_group_by_commas10(): """Tests that commas are inserted properly.""" from grouped_by_commas import group_by_commas n = 1234567890 assert group_by_commas(n) == '1,234,567,890' def test_group_by_commas11(): """Tests that commas are inserted properly.""" from grouped_by_commas import group_by_commas n = 9876543219876 assert group_by_commas(n) == '9,876,543,219,876' def test_group_by_commas12(): """Tests that commas are inserted properly.""" from grouped_by_commas import group_by_commas n = 1357924680 assert group_by_commas(n) == '1,357,924,680'

26.25

52

0.709957

344

2,310

4.453488

0.156977

0.193211

0.212141

0.219321

0.788512

0.703003

0.603133

0.571802

0

0.088077

0.193939

2,310

87

53

26.551724

0.734694

0.212554

0

0.244898

0

0.052931

0

0.244898

1

0.244898

false

0

0.265306

0

0.510204

0

null

0

1

0

1

0

null

0

1

0

1

0

5

d1b14ac60fc30763c4a8c9165ee856ae538ff8b4

75

py

Python

tornadopy/__init__.py

janwillembuist/tornadopy

f440d6885c7773acec38af814609a6e793adb61b

[ "MIT" ]

null

tornadopy/__init__.py

janwillembuist/tornadopy

f440d6885c7773acec38af814609a6e793adb61b

[ "MIT" ]

null

tornadopy/__init__.py

janwillembuist/tornadopy

f440d6885c7773acec38af814609a6e793adb61b

[ "MIT" ]

null

# Import the main function from tornadopy.makeplot import plot, set_labels

25

47

0.826667

11

75

5.545455

0.909091

0

0.133333

75

2

48

37.5

0.938462

0.32

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

d1c4209785c20472c7d196edc64308496fe419c7

240

py

Python

pelary/usecase/predictor.py

neverbeenthisweeb/predictsalary

68cf8b424583fe0477d4dd01e36342dcfebc1f4d

[ "MIT" ]

null

pelary/usecase/predictor.py

neverbeenthisweeb/predictsalary

68cf8b424583fe0477d4dd01e36342dcfebc1f4d

[ "MIT" ]

null

pelary/usecase/predictor.py

neverbeenthisweeb/predictsalary

68cf8b424583fe0477d4dd01e36342dcfebc1f4d

[ "MIT" ]

null

from pelary.service.predictor import PredictorInterface class Predictor(): def __init__(self, predictor: PredictorInterface): self.predictor = predictor def predict(self) -> float: return self.predictor.predict()

24

55

0.720833

24

240

7.041667

0.541667

0.230769

0

0.191667

240

9

56

26.666667

0.871134

0

1

0.333333

false

0

0.166667

0.833333

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

d1cef7fcc9c35545c43593bda385d83b73e365b8

300

py

Python

sknetwork/linkpred/__init__.py

altana-tech/scikit-network

dedc9d3e694c7106e4709aae22dffb5142c15859

[ "BSD-3-Clause" ]

457

2018-07-24T12:42:14.000Z

2022-03-31T08:30:39.000Z

sknetwork/linkpred/__init__.py

altana-tech/scikit-network

dedc9d3e694c7106e4709aae22dffb5142c15859

[ "BSD-3-Clause" ]

281

2018-07-13T05:01:19.000Z

2022-03-31T14:13:43.000Z

sknetwork/linkpred/__init__.py

altana-tech/scikit-network

dedc9d3e694c7106e4709aae22dffb5142c15859

[ "BSD-3-Clause" ]

58

2019-04-22T09:04:32.000Z

2022-03-30T12:43:08.000Z

"""link prediction module""" from sknetwork.linkpred.first_order import CommonNeighbors, JaccardIndex, SaltonIndex, SorensenIndex, HubPromotedIndex,\ HubDepressedIndex, AdamicAdar, ResourceAllocation, PreferentialAttachment from sknetwork.linkpred.postprocessing import is_edge, whitened_sigmoid

60

120

0.853333

27

300

9.37037

0.851852

0.102767

0.166008

0

0.08

300

4

121

75

0.916667

0.073333

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5