xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

12d8d16ec657f0f0816c8c741ba8c778984ccd1c

291

py

Python

BitSrunLogin/encryption/srun_md5.py

qingchenkanlu/BIT-srun-login

3423253da75b6acb46f34df2633c6be1d51b262c

[ "MIT" ]

85

2020-04-15T02:59:57.000Z

2022-03-30T15:27:48.000Z

BitSrunLogin/encryption/srun_md5.py

qingchenkanlu/BIT-srun-login

3423253da75b6acb46f34df2633c6be1d51b262c

[ "MIT" ]

6

2020-08-01T02:32:23.000Z

2021-09-28T13:30:49.000Z

BitSrunLogin/encryption/srun_md5.py

qingchenkanlu/BIT-srun-login

3423253da75b6acb46f34df2633c6be1d51b262c

[ "MIT" ]

40

2020-10-09T13:53:40.000Z

2022-03-30T07:25:42.000Z

import hmac import hashlib def get_md5(password,token): return hmac.new(token.encode(), password.encode(), hashlib.md5).hexdigest() if __name__ == '__main__': password="15879684798qq" token="711ab370231392679fe06523b119a8fe096f5ed9bd206b4de8d7b5b994bbc3e5" print(get_md5(password,token))

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py

Python

tests/cppmodel/test_types.py

FFIG/ffig

b45060d5835292a74661678872427e3eb5a89d0c

[ "MIT" ]

31

2017-02-03T20:12:11.000Z

2021-04-14T17:39:56.000Z

tests/cppmodel/test_types.py

FFIG/ffig

b45060d5835292a74661678872427e3eb5a89d0c

[ "MIT" ]

246

2017-02-03T17:51:24.000Z

2019-02-14T10:30:19.000Z

tests/cppmodel/test_types.py

FFIG/ffig

b45060d5835292a74661678872427e3eb5a89d0c

[ "MIT" ]

9

2017-03-05T20:28:37.000Z

2019-08-28T19:48:22.000Z

from util import get_tu import ffig.cppmodel from ffig.clang.cindex import TypeKind from nose.tools import assert_equals def test_pointer_type(): source = "double* pd();" tu = get_tu(source, 'cpp') model = ffig.cppmodel.Model(tu) f = model.functions[0] assert f.return_type.kind == TypeKind.POINTER assert not f.return_type.is_const assert f.return_type.pointee.kind == TypeKind.DOUBLE assert not f.return_type.pointee.is_const def test_const_pointer_to_double_type(): source = "double* const cpd();" tu = get_tu(source, 'cpp') model = ffig.cppmodel.Model(tu) f = model.functions[0] assert f.return_type.kind == TypeKind.POINTER assert f.return_type.is_const assert f.return_type.pointee.kind == TypeKind.DOUBLE assert not f.return_type.pointee.is_const def test_const_pointer_to_const_double_type(): source = "const double* const cpcd();" tu = get_tu(source, 'cpp') model = ffig.cppmodel.Model(tu) functions = model.functions f = model.functions[0] assert f.return_type.kind == TypeKind.POINTER assert f.return_type.is_const assert f.return_type.pointee.kind == TypeKind.DOUBLE assert f.return_type.pointee.is_const def test_pointer_to_pointer_type(): source = "double** ppd();" tu = get_tu(source, 'cpp') model = ffig.cppmodel.Model(tu) f = model.functions[0] assert f.return_type.kind == TypeKind.POINTER assert f.return_type.is_pointer assert f.return_type.pointee.kind == TypeKind.POINTER assert f.return_type.pointee.is_pointer assert f.return_type.pointee.pointee.kind == TypeKind.DOUBLE def test_pointer_to_record_type(): source = "class A{}; A* pA();" tu = get_tu(source, 'cpp') model = ffig.cppmodel.Model(tu) f = model.functions[0] assert f.return_type.kind == TypeKind.POINTER assert f.return_type.is_pointer assert f.return_type.pointee.kind == TypeKind.RECORD def test_reference_to_record_type(): source = "class A{}; A& pA();" tu = get_tu(source, 'cpp') model = ffig.cppmodel.Model(tu) f = model.functions[0] assert f.return_type.kind == TypeKind.LVALUEREFERENCE assert not f.return_type.is_pointer assert f.return_type.is_reference assert f.return_type.pointee.kind == TypeKind.RECORD def test_string_representation(): source = "class A{};" tu = get_tu(source, 'cpp') model = ffig.cppmodel.Model(tu) c = model.classes[0] assert_equals(str(c), "<cppmodel.Class A>")

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Python

firewall/__init__.py

search5/sech-firewall

7ec599562dc54fbf79fc4cf6502ca726ce1863b1

[ "MIT" ]

2

2015-07-29T15:13:52.000Z

2016-12-28T14:49:27.000Z

sech-firewall.py

search5/minafw

7ec599562dc54fbf79fc4cf6502ca726ce1863b1

[ "MIT" ]

null

sech-firewall.py

search5/minafw

7ec599562dc54fbf79fc4cf6502ca726ce1863b1

[ "MIT" ]

null

# Hello world python program print "Hello World!";

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py

Python

MDAF/TestFunctions/Leon.py

ejeanboris/MDAF_COMPLETE

e99c9762ea7304acc0a6795d33a55449a9800d89

[ "CC0-1.0" ]

1

2020-12-30T23:04:51.000Z

MDAF/TestFunctions/Leon.py

ejeanboris/MDAF_COMPLETE

e99c9762ea7304acc0a6795d33a55449a9800d89

[ "CC0-1.0" ]

null

MDAF/TestFunctions/Leon.py

ejeanboris/MDAF_COMPLETE

e99c9762ea7304acc0a6795d33a55449a9800d89

[ "CC0-1.0" ]

null

#Import math library def main(args): ''' >>> (main([1,1]) + 0) < 0.001 True #_# dimmensions: 2 #_# upper: 1.2 #_# lower: -1.2 #_# minimum: [1, 1] #_# opti: 0 #_# cm_angle: array([[2.10542603e-01], [2.72828609e-02], [2.13436119e-01], [2.65579669e-02], [1.51992391e+02], [2.94589423e+01], [1.70644204e-01], [1.20347799e-01], [0.00000000e+00], [4.30000000e-02]]) #_# cm_conv: array([[0.15384615], [0.03846154], [0.96153846], [0.03846154], [0. ], [0.015 ]]) #_# cm_grad: array([[0.61595303], [0.18604517], [0. ], [0.028 ]]) #_# ela_conv: array([[ 1.00000000e+00], [ 0.00000000e+00], [-3.22804188e+01], [ 3.22804188e+01], [ 1.00000000e+03], [ 5.10000000e-02]]) #_# ela_curv: array([[1.78279061e+00], [1.16451891e+02], [2.52239097e+02], [2.38088464e+02], [3.62255731e+02], [6.55510933e+02], [1.67106250e+02], [0.00000000e+00], [1.00002731e+00], [1.00459719e+00], [1.20212429e+00], [1.01160307e+00], [1.02140902e+00], [2.03164862e+01], [1.54951271e+00], [0.00000000e+00], [4.68926193e+01], [4.01827782e+02], [3.98899501e+02], [4.02008357e+02], [4.02157224e+02], [4.22544636e+02], [2.68456809e+01], [0.00000000e+00], [8.40000000e+03], [3.89000000e-01]]) #_# ela_distr: array([[ 1.52929351], [ 1.74544029], [12. ], [ 0. ], [ 0.029 ]]) #_# ela_local: array([[9.00000000e+01], [9.00000000e-01], [2.99314186e-10], [4.70682836e-02], [1.10000000e-01], [1.00000000e-02], [1.00000000e-02], [4.50000000e+01], [5.50000000e+01], [5.84500000e+01], [6.00000000e+01], [6.00000000e+01], [9.00000000e+01], [5.80382145e+00], [5.93500000e+03], [1.44000000e-01]]) #_# ela_meta: array([[-5.56482247e-03], [ 9.54844057e+01], [ 2.98215620e-01], [ 3.66171877e+00], [ 1.22787625e+01], [ 7.03397803e-01], [ 2.63864648e-01], [ 1.04934975e+00], [ 1.00000000e+00], [ 0.00000000e+00], [ 6.00000000e-03]]) #_# basic: array([[ 2.00000000e+00], [ 5.00000000e+02], [-1.20000000e+00], [-1.20000000e+00], [ 1.20000000e+00], [ 1.20000000e+00], [ 1.49779966e-02], [ 5.36822922e+02], [ 6.00000000e+00], [ 6.00000000e+00], [ 3.60000000e+01], [ 3.60000000e+01], [ 1.00000000e+00], [ 0.00000000e+00], [ 0.00000000e+00]]) #_# disp: array([[ 0.37953991], [ 0.53302129], [ 0.70960306], [ 0.87624411], [ 0.34748594], [ 0.46859688], [ 0.63333187], [ 0.78061069], [-0.77797041], [-0.58552617], [-0.36411726], [-0.15517262], [-0.80323673], [-0.65415066], [-0.45136393], [-0.27006553], [ 0. ], [ 0.009 ]]) #_# limo: array([[ 2.39839104e+00], [ 1.01208570e-01], [ 2.21689468e+02], [ 1.62392144e+02], [-9.99739218e-01], [-9.27939037e-01], [ 1.14453736e+00], [ 3.45698635e-01], [ 1.00869209e+00], [ 1.01966929e+00], [ 1.96104882e+02], [ 7.13420999e-01], [ 0.00000000e+00], [ 2.50000000e-02]]) #_# nbc: array([[ 0.6833929 ], [ 0.91742318], [ 0.47692233], [ 0.13387147], [-0.1520694 ], [ 0. ], [ 0.026 ]]) #_# pca: array([[1. ], [1. ], [0.33333333], [1. ], [0.51039485], [0.51039466], [0.99992363], [0.3439774 ], [0. ], [0.002 ]]) #_# gcm: array([[1. ], [0.02777778], [0.97222222], [0. ], [1. ], [1. ], [1. ], [1. ], [ nan], [1. ], [1. ], [1. ], [1. ], [ nan], [1. ], [1. ], [1. ], [1. ], [1. ], [ nan], [1. ], [1. ], [0.02777778], [0. ], [0.02 ], [2. ], [0.05555556], [0.94444444], [0.83333333], [0.48352763], [0.5 ], [0.5 ], [0.51647237], [0.02329546], [0.08333333], [0.08333333], [0.08333333], [0.08333333], [0. ], [0.16666667], [0.44444444], [0.5 ], [0.5 ], [0.55555556], [0.07856742], [1. ], [0.48352763], [0.02777778], [0. ], [0.02 ], [1. ], [0.02777778], [0.97222222], [0. ], [1. ], [1. ], [1. ], [1. ], [ nan], [1. ], [1. ], [1. ], [1. ], [ nan], [1. ], [1. ], [1. ], [1. ], [1. ], [ nan], [1. ], [1. ], [0.02777778], [0. ], [0.022 ]]) #_# ic: array([[ 0.63092359], [ 2.72772773], [38.59993618], [ 2.02702703], [ 0.33935743], [ 0. ], [ 0.147 ]]) #_# Represented: 1 ''' for x in args: if x < -1.2 or x > 1.2: return 0 return (100*(args[1]-args[0])**2)+(1-args[0])**2 if __name__ == "__main__": import doctest doctest.testmod()

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Python

rime/util/__init__.py

matsu7874/rime

f6fd81a65dd4128d0385b0e1a11b7f7f03b342eb

[ "MIT" ]

31

2017-02-20T05:04:06.000Z

2022-01-21T09:05:17.000Z

rime/util/__init__.py

matsu7874/rime

f6fd81a65dd4128d0385b0e1a11b7f7f03b342eb

[ "MIT" ]

62

2017-02-14T10:10:06.000Z

2021-05-17T00:00:01.000Z

rime/util/__init__.py

matsu7874/rime

f6fd81a65dd4128d0385b0e1a11b7f7f03b342eb

[ "MIT" ]

21

2017-02-13T16:41:42.000Z

2021-08-19T00:34:49.000Z

#!/usr/bin/python """Provides utility modules of Rime. Util package contains utility modules not specific to Rime and reusable in other softwares. """

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py

Python

ermaket/api/erd/rd_entities/__init__.py

SqrtMinusOne/ERMaket_Experiment

c4a7b61651edd15a619d9b690e2aaeaab4de282d

[ "Apache-2.0" ]

null

ermaket/api/erd/rd_entities/__init__.py

SqrtMinusOne/ERMaket_Experiment

c4a7b61651edd15a619d9b690e2aaeaab4de282d

[ "Apache-2.0" ]

null

ermaket/api/erd/rd_entities/__init__.py

SqrtMinusOne/ERMaket_Experiment

c4a7b61651edd15a619d9b690e2aaeaab4de282d

[ "Apache-2.0" ]

null

from .column import * from .table import * from .fk import * from .relationship import *

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py

Python

oreilly/count_inversions.py

NigrumAquila/py_checkio

df437c2c3ad325d84714665000e3299a70e91f32

[ "MIT" ]

null

oreilly/count_inversions.py

NigrumAquila/py_checkio

df437c2c3ad325d84714665000e3299a70e91f32

[ "MIT" ]

null

oreilly/count_inversions.py

NigrumAquila/py_checkio

df437c2c3ad325d84714665000e3299a70e91f32

[ "MIT" ]

null

def count_inversion(sequence): return sum(sum(m<n for m in sequence[i+1:]) for i,n in enumerate(sequence))

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429731211ca345c3b5f0ccaf1619e76ea0eb70c7

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py

Python

wikitweets/__init__.py

iguanaonmystack/wikitweets

4fc97b34cc9204ca78bf34173801e7d7f81f3018

[ "MIT" ]

3

2016-02-02T15:51:14.000Z

2019-07-06T21:05:13.000Z

wikitweets/__init__.py

flexo/wikitweets

4fc97b34cc9204ca78bf34173801e7d7f81f3018

[ "MIT" ]

null

wikitweets/__init__.py

flexo/wikitweets

4fc97b34cc9204ca78bf34173801e7d7f81f3018

[ "MIT" ]

1

2020-11-12T17:27:44.000Z

"wikitweets - post edited wikipedia articles to twitter"

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429a861d6ec47604670a07b26dbd2818f2226b0c

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py

Python

figma_export/figma/__init__.py

RomanAliyev/figma-export

2c61f2e0c72b42e40a50a31c71422f24a1bca317

[ "MIT" ]

23

2019-01-04T06:48:06.000Z

2022-03-25T08:12:03.000Z

figma_export/figma/__init__.py

RomanAliyev/figma-export

2c61f2e0c72b42e40a50a31c71422f24a1bca317

[ "MIT" ]

2

2019-04-16T18:33:56.000Z

2021-05-08T19:35:19.000Z

figma_export/figma/__init__.py

RomanAliyev/figma-export

2c61f2e0c72b42e40a50a31c71422f24a1bca317

[ "MIT" ]

1

2020-11-30T18:10:15.000Z

from .FigmaClient import FigmaClient from .FigmaService import FigmaService from .FigmaDocument import FigmaDocument from .FigmaNode import FigmaNode from .FigmaRenderingResult import FigmaRenderingResult

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py

Python

Modules/train/_pl/tools.py

iheb-brini/fitness-lab

2d82d7a2ecba27f535cda880865e6d9ed446eac5

[ "MIT" ]

null

Modules/train/_pl/tools.py

iheb-brini/fitness-lab

2d82d7a2ecba27f535cda880865e6d9ed446eac5

[ "MIT" ]

null

Modules/train/_pl/tools.py

iheb-brini/fitness-lab

2d82d7a2ecba27f535cda880865e6d9ed446eac5

[ "MIT" ]

null

import pytorch_lightning as pl from .constants import TRAINER_PARAMS def train(net,train_iter,test_iter,params=TRAINER_PARAMS): trainer = pl.Trainer(**params) trainer.fit(net, train_iter, test_iter)

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py

Python

tests/integration/modules/test_state_jinja_filters.py

markgras/salt

d66cd3c935533c63870b83228b978ce43e0ef70d

[ "Apache-2.0" ]

9,425

2015-01-01T05:59:24.000Z

2022-03-31T20:44:05.000Z

tests/integration/modules/test_state_jinja_filters.py

markgras/salt

d66cd3c935533c63870b83228b978ce43e0ef70d

[ "Apache-2.0" ]

33,507

2015-01-01T00:19:56.000Z

2022-03-31T23:48:20.000Z

tests/integration/modules/test_state_jinja_filters.py

markgras/salt

d66cd3c935533c63870b83228b978ce43e0ef70d

[ "Apache-2.0" ]

5,810

2015-01-01T19:11:45.000Z

2022-03-31T02:37:20.000Z

from tests.support.case import ModuleCase from tests.support.jinja_filters import JinjaFiltersTest class StateModuleJinjaFiltersTest(ModuleCase, JinjaFiltersTest): """ testing Jinja filters are available via state system """

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py

Python

Knight-Rank/DAY-6/118B.py

rohansaini886/Peer-Programming-Hub-CP-Winter_Camp

d27fb6aa7e726e6d2cb95270c9e644d38d64dd1c

[ "MIT" ]

2

2021-12-09T18:07:46.000Z

2022-01-26T16:51:18.000Z

Knight-Rank/DAY-6/118B.py

rohansaini886/Peer-Programming-Hub-CP-Winter_Camp

d27fb6aa7e726e6d2cb95270c9e644d38d64dd1c

[ "MIT" ]

null

Knight-Rank/DAY-6/118B.py

rohansaini886/Peer-Programming-Hub-CP-Winter_Camp

d27fb6aa7e726e6d2cb95270c9e644d38d64dd1c

[ "MIT" ]

null

r=range;N=int(input()) for i in[*r(N),*r(N,-1,-1)]:print(*' '*(N-i),*r(i+1),*r(i-1,-1,-1))

30.333333

67

0.461538

25

91

1.68

0.4

0.142857

0

0.069767

0.054945

91

2

68

45.5

0.418605

0

0.010989

0

1

0

false

0

0.5

1

0

1

null

0

1

0

1

0

null

0

1

0

5

c42376b3e309858cc9254caa7013998094061ad4

44,269

py

Python

tests/test_indexcreator_exec.py

nickmasster/codernitydb3

0799ae0a1e9c08613d8400ca6a9d8709a0ed27c1

[ "Apache-2.0" ]

7

2020-08-13T01:04:43.000Z

2022-01-16T21:56:36.000Z

tests/test_indexcreator_exec.py

nickmasster/codernitydb3

0799ae0a1e9c08613d8400ca6a9d8709a0ed27c1

[ "Apache-2.0" ]

null

tests/test_indexcreator_exec.py

nickmasster/codernitydb3

0799ae0a1e9c08613d8400ca6a9d8709a0ed27c1

[ "Apache-2.0" ]

5

2020-10-17T21:55:35.000Z

2022-02-28T22:55:15.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- # # Copyright 2011-2013 Codernity (http://codernity.com) # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # This test are for checking Parser only, using simple exec isn't exactly what database does with simple index code, # they are used only because they allow handy check of correctness of # generated code import os import uuid from hashlib import md5 from py.test import raises from pytest import fixture from codernitydb3.indexcreator import Parser, IndexCreatorValueException, IndexCreatorFunctionException from codernitydb3.database import Database, RecordNotFound from codernitydb3.hash_index import HashIndex from codernitydb3.tree_index import TreeBasedIndex from codernitydb3.tree_index import MultiTreeBasedIndex from codernitydb3.hash_index import MultiHashIndex @fixture def p(request): p = Parser() return p def simple_compare(s, args_mkv, args_mk): p = Parser() n = "_" + uuid.uuid4().hex exec(p.parse(s, n)[1], globals()) # n2 = p.parse(s) # exec n2 in globals() # n2 = n2.splitlines()[1][2:] for a, o in args_mkv: assert globals()[n]('test', 'test').make_key_value(a) == o # assert globals()[n2]('test','test').make_key_value(a) == o for a, o in args_mk: assert globals()[n]('test', 'test').make_key(a) == o # assert globals()[n2]('test','test').make_key(a) == o # special comparator for comparing lists def simple_compare_without_order(s, args_mkv, args_mk): p = Parser() n = "_" + uuid.uuid4().hex exec(p.parse(s, n)[1], globals()) for a, o in args_mkv: a, b = globals()[n]('test', 'test').make_key_value(a) if a is not None: a = sorted(a) if b is not None: b = sorted(b) assert (a, b) == o for a, o in args_mk: assert globals()[n]('test', 'test').make_key(a) == o class TestIndexCreatorRightInput: def test_2nd_arg_of_mkv(self, p): s = """ name = "s" type = 'HashIndex' key_format = I hash_lim = 1 make_key_value: md5(a),{'a':a} make_key: md5(a)""" s2 = """ name = s type = HashIndex key_format = I hash_lim = 1 make_key: md5(a) make_key_value: a,{'a':a} """ s3 = """ name = s3 type = HashIndex key_format = I hash_lim = 1 make_key: md5(a) make_key_value: a,a""" s4 = """ name = s4 type = HashIndex key_format = I hash_lim = 1 make_key: md5(a) make_key_value: md5(b),a""" simple_compare(s, [({ 'a': b'a' }, (md5(b'a').digest(), { 'a': b'a' })), ({ 'a': b'qwerty' }, (md5(b'qwerty').digest(), { 'a': b'qwerty' }))], [({ 'a': b'e' }, md5(b'e').digest()), ({ 'a': b'qwerty' }, md5(b'qwerty').digest())]) simple_compare(s2, [({ 'a': 'a' }, ('a', { 'a': 'a' })), ({ 'a': 'qwerty' }, ('qwerty', { 'a': 'qwerty' }))], [({ 'a': b'e' }, md5(b'e').digest()), ({ 'a': b'qwerty' }, md5(b'qwerty').digest())]) simple_compare(s3, [({ 'a': 'a', 'b': 'b' }, ('a', 'a')), ({ 'a': 'qwerty', 'b': 'b' }, ('qwerty', 'qwerty'))], [({ 'a': b'e' }, md5(b'e').digest()), ({ 'a': b'qwerty' }, md5(b'qwerty').digest())]) simple_compare(s4, [({ 'a': 'a', 'b': b'b' }, (md5(b'b').digest(), 'a')), ({ 'a': 'qwerty', 'b': b'b' }, (md5(b'b').digest(), 'qwerty'))], [({ 'a': b'e' }, md5(b'e').digest()), ({ 'a': b'qwerty' }, md5(b'qwerty').digest())]) def test_name_or_type_as_string(self): s = """ name = "s" type = 'HashIndex' key_format = I hash_lim = 1 make_key_value: md5(a),None make_key: md5(a)""" s2 = """ name = \"\"\"s\"\"\" type = 'HashIndex' key_format = I hash_lim = 1 make_key: md5(a) make_key_value: md5(a),None """ simple_compare(s, [({ 'a': b'a' }, (md5(b'a').digest(), None)), ({ 'a': b'qwerty' }, (md5(b'qwerty').digest(), None))], [({ 'a': b'e' }, md5(b'e').digest()), ({ 'a': b'qwerty' }, md5(b'qwerty').digest())]) simple_compare(s2, [({ 'a': b'a' }, (md5(b'a').digest(), None)), ({ 'a': b'qwerty' }, (md5(b'qwerty').digest(), None))], [({ 'a': b'e' }, (md5(b'e').digest())), ({ 'a': b'qwerty' }, (md5(b'qwerty').digest()))]) def test_fliped_definitions(self): s = """ name = s type = HashIndex key_format = I hash_lim = 1 make_key_value: md5(a),None make_key: md5(a)""" s2 = """ name = s type = HashIndex key_format = I hash_lim = 1 make_key: md5(a) make_key_value: md5(a),None """ simple_compare(s, [({ 'a': b'a' }, (md5(b'a').digest(), None)), ({ 'a': b'qwerty' }, (md5(b'qwerty').digest(), None))], [({ 'a': b'e' }, md5(b'e').digest()), ({ 'a': b'qwerty' }, md5(b'qwerty').digest())]) simple_compare(s2, [({ 'a': b'a' }, (md5(b'a').digest(), None)), ({ 'a': b'qwerty' }, (md5(b'qwerty').digest(), None))], [({ 'a': b'e' }, md5(b'e').digest()), ({ 'a': b'qwerty' }, md5(b'qwerty').digest())]) def test_None_equivalents(self): s = """ name = s type = HashIndex key_format = I hash_lim = 1 make_key_value: null make_key: none""" simple_compare(s, [({ 'a': 'a' }, None), ({ 'a': 'qwerty' }, None)], [({ 'a': 'e' }, None), ({ 'a': 'qwerty' }, None)]) def test_assign_prop_equivalents(self): s = """ name : s type : HashIndex key_format : I hash_lim : 1 make_key_value: md5(a),None make_key: md5(a)""" s2 = """ name:s type:HashIndex key_format:'I' hash_lim:1 make_key: md5(a) make_key_value: md5(a),None """ simple_compare(s, [({ 'a': b'a' }, (md5(b'a').digest(), None)), ({ 'a': b'qwerty' }, (md5(b'qwerty').digest(), None))], [({ 'a': b'e' }, md5(b'e').digest()), ({ 'a': b'qwerty' }, md5(b'qwerty').digest())]) simple_compare(s2, [({ 'a': b'a' }, (md5(b'a').digest(), None)), ({ 'a': b'qwerty' }, (md5(b'qwerty').digest(), None))], [({ 'a': b'e' }, md5(b'e').digest()), ({ 'a': b'qwerty' }, md5(b'qwerty').digest())]) def test_automatic_generated_class_name(self, p): s = """ name = s type = HashIndex key_format = I hash_lim = 1 make_key_value: md5(a),None make_key: a""" _, r = p.parse(s) rs = r.splitlines() assert rs[0] == "# s" assert rs[1][2:] == rs[2][6:39] simple_compare(s, [({ 'a': b'a' }, (md5(b'a').digest(), None)), ({ 'a': b'qwerty' }, (md5(b'qwerty').digest(), None))], [({ 'a': 'e' }, 'e')]) def test_md5(self): s = """ name = s type = HashIndex key_format = I hash_lim = 1 make_key_value: md5(a),None make_key: a != 'e' : md5(a) a""" simple_compare(s, [({ 'a': b'a' }, (md5(b'a').digest(), None)), ({ 'a': b'qwerty' }, (md5(b'qwerty').digest(), None))], [({ 'a': 'e' }, 'e'), ({ 'a': b'eeee' }, md5(b'eeee').digest())]) s2 = """ name = s2 type = HashIndex key_format = I hash_lim = 1 make_key_value: md5(a+b'aaa')+b'a',None make_key: a != 'e' : md5(a)+a a""" simple_compare(s2, [({ 'a': b'a' }, (md5(b'aaaa').digest() + b'a', None)), ({ 'a': b'qwerty' }, (md5(b'qwertyaaa').digest() + b'a', None))], [({ 'a': 'e' }, 'e'), ({ 'a': b'eeee' }, md5(b'eeee').digest() + b'eeee')]) def test_no_conditionals_return_dicts(self): s = """ name = s type = HashIndex key_format = I hash_lim = 1 make_key_value: data make_key: key""" simple_compare(s, [({ 'test': 'a', 'b': 'e' }, { 'test': 'a', 'b': 'e' }), ({}, {})], [({ 'test': 'a', 'b': 'e' }, { 'test': 'a', 'b': 'e' }), ({}, {})]) s2 = """ name = s2 type = HashIndex key_format = I hash_lim = 1 make_key_value: {'t' : 'a','e' : 1} make_key: key""" simple_compare(s2, [({}, { 't': 'a', 'e': 1 })], [({ 'e': 2, 't': 'b' }, { 'e': 2, 't': 'b' })]) s3 = """ type = HashIndex name = s3 key_format = I hash_lim = 1 make_key_value: "::::::",None make_key: "::::::":'a'""" simple_compare(s3, [({}, ("::::::", None))], [({}, "a")]) def test_simple_conditionals(self): s = """ name = s type = HashIndex key_format = I hash_lim = 1 make_key_value: test > 5 : 1,None 0,None make_key: test < 1: 1 key""" simple_compare(s, [({ 'test': 4 }, (0, None)), ({ 'test': 6 }, (1, None))], [({ 'test': 1 }, { 'test': 1 }), ({ 'test': 0 }, 1)]) s2 = """ type = HashIndex name = s2 key_format = I hash_lim = 1 make_key_value: test > 5 : 1,None test-1 == 3 : 3,None 0,None make_key: test < 1: 1 key""" simple_compare(s2, [({ 'test': 4 }, (3, None)), ({ 'test': 6 }, (1, None)), ({ 'test': 3 }, (0, None))], [({ 'test': 1 }, { 'test': 1 }), ({ 'test': 0 }, 1)]) # unfortunately tokenize seems to not parse - sign in right way (it doesn't set its type to token.MINUS :/) # added a hack to indexcreator s3 = """ type = HashIndex name = s3 key_format = I hash_lim = 1 make_key_value: (a > 5 or a < -1) and (b > 15 and b > 16): 1,None (a-1)*5 == 25 : 3,None 0,None make_key: a-1-1-1-1-9*4 > 0: 1 key""" simple_compare(s3, [({ 'a': 6, 'b': 17 }, (1, None)), ({ 'a': 6, 'b': 3 }, (3, None)), ({ 'a': 3, 'b': 17 }, (0, None))], [({ 'a': 41 }, 1), ({ 'a': 40 }, { 'a': 40 })]) def test_or_and_in_conditionals(self): s = """ type = HashIndex name = s key_format = I hash_lim = 1 make_key_value: a > 5 or b<3 and 5==3 : 8,None a > 5 or b<3 : 7,None a in [4,3,5]: 'c',None b,None make_key: key<1 and key>-3: 'a' key in [1,3]: 'c' 'b'""" simple_compare(s, [({ 'a': 5, 'b': 2 }, (7, None)), ({ 'a': 6, 'b': 4 }, (8, None)), ({ 'a': 6, 'b': 2 }, (8, None)), ({ 'a': 1, 'b': 2 }, (7, None)), ({ 'a': 1, 'b': 4 }, (4, None)), ({ 'b': 3, 'a': 4 }, ('c', None))], [(-2, 'a'), (2, 'b'), (1, 'c')]) s2 = """ type = HashIndex name = s2 key_format = I hash_lim = 1 make_key_value: a && b: 1 ,None 0,None make_key: key & 6 """ simple_compare(s2, [({ 'a': True, 'b': True }, (1, None)), ({ 'a': False, 'b': True }, (0, None)), ({ 'a': False, 'b': False }, (0, None)), ({ 'a': True, 'b': False }, (0, None))], [(5, 4)]) s3 = """ type = HashIndex key_format = I name = s3 hash_lim = 1 make_key_value: a || b: 1,None 0,None make_key: key | 6 """ simple_compare(s3, [ ({ 'a': True, 'b': True }, (1, None)), ({ 'a': False, 'b': True }, (1, None)), ({ 'a': False, 'b': False }, (0, None)), ({ 'a': True, 'b': False }, (1, None)), ], [(5, 7)]) def test_props(self, p): s = """ type = HashIndex key_format = 32s name = s hash_lim = 1 make_key_value: 0,None make_key: 0""" _, n = p.parse(s) exec(n, globals()) n = n.splitlines()[1][2:] assert globals()[n]('test', 'test').hash_lim == 1 assert globals()[n]('test', 'test').entry_struct.format[4:7] == '32s' s2 = """ type = HashIndex key_format=32s hash_lim=30 * (15+5) - 0 name = s2 make_key_value: 0,None make_key: 0""" _, n2 = p.parse(s2) exec(n2, globals()) n2 = n2.splitlines()[1][2:] assert globals()[n2]('test', 'test').hash_lim == 600 assert globals()[n2]('test', 'test').entry_struct.format[4:7] == '32s' s3 = """ name = s3 type = HashIndex key_format = 'I' hash_lim = 2/2 make_key_value: 0,None make_key: 0""" _, n3 = p.parse(s3) exec(n3, globals()) n3 = n3.splitlines()[1][2:] assert globals()[n3]('test', 'test').hash_lim == 1 assert globals()[n3]('test', 'test').entry_struct.format[4] == 'I' s4 = """ name = s4 type = TreeBasedIndex key_format = I make_key_value: 0,None make_key: 0""" _, n4 = p.parse(s4) exec(n4, globals()) n4 = n4.splitlines()[1][2:] assert globals()[n4]('test', 'test').key_format == 'I' def test_no_make_key(self): s = """ name = s type = HashIndex key_format = 32s hash_lim = 1 make_key_value: 0,None """ simple_compare(s, [({ 'a': 3, 'b': 4 }, (0, None))], [(5, 5), ("aaa", "aaa"), ({ 'a': 3, 'b': 4 }, { 'a': 3, 'b': 4 })]) def test_functions(self, p): s = """ name = s type = HashIndex key_format = 32s hash_lim = 1 make_key_value: md5(md5(a)),None """ simple_compare(s, [({ 'a': b'a', 'b': 4 }, (md5(md5(b'a').digest()).digest(), None))], [(5, 5), ("aaa", "aaa"), ({ 'a': 3, 'b': 4 }, { 'a': 3, 'b': 4 })]) s2 = """ name = s2 type = HashIndex key_format = 32s hash_lim = 1 make_key_value: b == bytes(1): md5(b),None len(a) > 2: md5(a),None a,None """ simple_compare(s2, [({ 'a': b'a', 'b': bytes(1) }, (md5(bytes(1)).digest(), None)), ({ 'a': b'a', 'b': bytes(4) }, (b'a', None)), ({ 'a': b'eee', 'b': bytes(1) }, (md5(bytes(1)).digest(), None)), ({ 'a': b'eee', 'b': bytes(3) }, (md5(b'eee').digest(), None))], [(5, 5), ("aaa", "aaa"), ({ 'a': 3, 'b': 4 }, { 'a': 3, 'b': 4 })]) s3 = """ name = s type = HashIndex key_format = 32s hash_lim = 1 make_key_value: fix_r(a,5),None """ simple_compare(s3, [({ 'a': 'aaaa', 'b': 4 }, (b'_aaaa', None)), ({ 'a': 'aaaaaa', 'b': 4 }, (b'aaaaa', None)), ({ 'a': '', 'b': 4 }, (b'_____', None)), ({ 'a': 'aaaaa', 'b': 4 }, (b'aaaaa', None))], [(5, 5), ("aaa", "aaa"), ({ 'a': 3, 'b': 4 }, { 'a': 3, 'b': 4 })]) def test_enclosures(self, p): s = """ name = s key_format = 32s type = HashIndex make_key_value: a=="'aa":1,None make_key: 1""" simple_compare(s, [({'a': "'aa", 'b': 4}, (1, None))], [(5, 1)]) s1 = """ name = s key_format = 32s type = HashIndex make_key_value: a=="a)a":1,None make_key: 1""" simple_compare(s1, [({ 'a': "a)a", 'b': 4 }, (1, None)), ({ 'a': "a}a", 'b': 4 }, None)], [(5, 1)]) s2 = """ name = s key_format = 32s type = HashIndex make_key_value: 2==(a+({'a' : 1}['a'])):1,None make_key: 1""" simple_compare(s2, [({ 'a': 2, 'b': 4 }, None), ({ 'a': 1, 'b': 4 }, (1, None))], [(5, 1)]) class TestIndexCreatorExceptions(): def test_no_properity(self, p): s = """ make_key_value: a b c """ with raises(IndexCreatorValueException): p.parse(s) def test_wrong_properity_assingment(self, p): s = """ name = eeee type = HashIndex aa aa a222a$ 2 * "eee" aa bb cc 33 1 make_key_value: a """ s2 = """ name eeee type = HashIndex make_key_value: a """ s3 = """ name = sss type = 2 make_key_value: a """ s4 = """ name = sss type = HashIndex, make_key_value: a """ s5 = """ name = sss type = HashIndex a : a, b make_key_value: a """ s6 = """ name = sss type = HashIndex 2a : a make_key_value: a """ s7 = """ name = sss type = HashIndex 22 : a make_key_value: a """ with raises(IndexCreatorValueException): p.parse(s) with raises(IndexCreatorValueException): p.parse(s2) with raises(IndexCreatorValueException): p.parse(s3) with raises(IndexCreatorValueException): p.parse(s4) with raises(IndexCreatorValueException): p.parse(s5) with raises(IndexCreatorValueException): p.parse(s6) with raises(IndexCreatorValueException): p.parse(s7) def test_empty_function(self, p): s = """ type = HashIndex name = s key_format = 32s hash_lim = 1 make_key_value: make_key: """ s2 = """ type = HashIndex name = s2 key_format = 32s hash_lim = 1 make_key_value: 0 make_key: """ s3 = """ type = HashIndex name = s3 key_format = 32s hash_lim = 1 make_key_value: make_key: 0 """ with raises(IndexCreatorFunctionException): p.parse(s, 'TestIndex') with raises(IndexCreatorFunctionException): p.parse(s2, 'TestIndex') with raises(IndexCreatorFunctionException): p.parse(s3, 'TestIndex') def test_no_type(self, p): s = """ key_format = 32s name = s hash_lim = 1 make_key_value: 0,None make_key: 0 """ with raises(IndexCreatorValueException): p.parse(s, 'TestIndex') def test_no_make_key_value(self, p): s = """ name = s key_format = 32s hash_lim = 1 make_key: 0 """ s2 = """ key_format = 32s name = s2 hash_lim = 1 """ with raises(IndexCreatorFunctionException): p.parse(s, 'TestIndex') with raises(IndexCreatorFunctionException): p.parse(s2, 'TestIndex') def test_no_name(self, p): s = """ key_format = 32s type = HashIndex hash_lim = 1 make_key_value: 0,None make_key: 0 """ with raises(IndexCreatorValueException): p.parse(s, 'TestIndex') def test_no_2nd_arg_and_1st_isnt_enough_for_mkv(self, p): s = """ name = s key_format = 16s type = HashIndex hash_lim = 1 make_key_value: 0 """ with raises(IndexCreatorValueException): p.parse(s, 'TestIndex') s2 = """ name = s key_format = 16s type = HashIndex hash_lim = 1 make_key_value: "aaa" """ with raises(IndexCreatorValueException): p.parse(s2, 'TestIndex') s3 = """ name = s key_format = 16s type = HashIndex hash_lim = 1 make_key_value: md5(a) """ with raises(IndexCreatorValueException): p.parse(s3, 'TestIndex') def test_wrong_2nd_ret_arg_of_mkv(self, p): s = """ name = s key_format = 32s type = HashIndex hash_lim = 1 make_key_value: md5(a),a make_key: 0 """ with raises(IndexCreatorValueException): p.parse(s, 'TestIndex') s2 = """ name = s2 key_format = 32s type = HashIndex hash_lim = 1 make_key_value: md5(a),"aaa" make_key: 0 """ with raises(IndexCreatorValueException): p.parse(s2) s3 = """ name = s3 key_format = 32s type = HashIndex hash_lim = 1 make_key_value: md5(a),3 make_key: 0 """ with raises(IndexCreatorValueException): p.parse(s3) def test_empty_return_with_condition(self, p): s = """ name = s key_format = 32s type = HashIndex hash_lim = 1 make_key_value: a > 3: md5(a),None make_key: 0 """ with raises(IndexCreatorValueException): p.parse(s, 'TestIndex') s2 = """ name = s key_format = 32s type = HashIndex hash_lim = 1 make_key_value: a > 3: md5(a),None make_key: 0 """ with raises(IndexCreatorValueException): p.parse(s2, 'TestIndex') s3 = """ name = s key_format = 32s type = HashIndex hash_lim = 1 make_key: a > 3: 0 make_key_value: md5(a),a """ with raises(IndexCreatorValueException): p.parse(s3, 'TestIndex') s4 = """ name = s key_format = 32s type = HashIndex hash_lim = 1 make_key_value: md5(a),None make_key: a>2:""" with raises(IndexCreatorValueException): p.parse(s3, 'TestIndex') def test_wrong_nr_of_args_to_ret(self, p): s = """ name = s key_format = 32s type = HashIndex hash_lim = 1 make_key_value: a > 3: a,None, md5(a),None make_key: 0 """ with raises(IndexCreatorFunctionException): p.parse(s, 'TestIndex') s2 = """ name = s key_format = 32s type = HashIndex hash_lim = 1 make_key_value: a > 3: a,None md5(a),None, make_key: 0 """ with raises(IndexCreatorFunctionException): p.parse(s2, 'TestIndex') s3 = """ name = s key_format = 32s type = HashIndex hash_lim = 1 make_key_value: a > 3: a,None md5(a),None make_key: 0, """ with raises(IndexCreatorFunctionException): p.parse(s3, 'TestIndex') s4 = """ name = s key_format = 32s type = HashIndex hash_lim = 1 make_key_value: a > 3: a,None md5(a),None make_key: , """ with raises(IndexCreatorFunctionException): p.parse(s4, 'TestIndex') s5 = """ name = s key_format = 32s type = HashIndex hash_lim = 1 make_key_value: 1, md5(a),None make_key: 0 """ with raises(IndexCreatorValueException): p.parse(s5, 'TestIndex') def test_wrong_comp_operators(self, p): s3 = """ name = s key_format = 32s type = HashIndex hash_lim = 1 make_key_value: 'a'==1:1,None make_key: 0 """ with raises(IndexCreatorValueException): p.parse(s3, 'TestIndex') s4 = """ name = s key_format = 32s type = HashIndex hash_lim = 1 make_key_value: 1>='a':1,None make_key: 0 """ with raises(IndexCreatorValueException): p.parse(s4, 'TestIndex') s5 = """ name = s key_format = 32s type = HashIndex hash_lim = 1 make_key_value: 'a'<="b":1,None make_key: 0 """ with raises(IndexCreatorValueException): p.parse(s5, 'TestIndex') s6 = """ name = s key_format = 32s type = HashIndex hash_lim = 1 make_key_value: <=1:1,None make_key: 0 """ with raises(IndexCreatorValueException): p.parse(s6, 'TestIndex') s7 = """ name = s key_format = 32s type = HashIndex hash_lim = 1 make_key_value: 1<=2:1,None make_key: 1==""" with raises(IndexCreatorValueException): p.parse(s7, 'TestIndex') s8 = """ name = s key_format = 32s type = HashIndex hash_lim = 1 make_key: 1== make_key_value: 1<=2:1,None """ with raises(IndexCreatorValueException): p.parse(s8, 'TestIndex') def test_no_operator_between(self, p): s = """ name = s key_format = 32s type = HashIndex hash_lim = 1 make_key_value: 1<=2:1,None make_key: a b""" with raises(IndexCreatorValueException): p.parse(s, 'TestIndex') s2 = """ name = s key_format = 32s type = HashIndex hash_lim = 1 make_key_value: 1<=2:1,None make_key: a 'b'""" with raises(IndexCreatorValueException): p.parse(s2, 'TestIndex') s3 = """ name = s key_format = 32s type = HashIndex hash_lim = 1 make_key_value: 1<=2:1,None make_key: 'a' b""" with raises(IndexCreatorValueException): p.parse(s3, 'TestIndex') s4 = """ name = s key_format = 32s type = HashIndex hash_lim = 1 make_key_value: a>=1:a b,None make_key: a + b""" with raises(IndexCreatorValueException): p.parse(s4, 'TestIndex') s5 = """ name = s key_format = 32s type = HashIndex hash_lim = 1 make_key_value: 1<=2:1,None make_key: 'a' 'b'""" with raises(IndexCreatorValueException): p.parse(s5, 'TestIndex') s6 = """ name = s key_format = aa ee type = HashIndex hash_lim = 1 make_key_value: 1<=2:1,None make_key: 1""" with raises(IndexCreatorValueException): p.parse(s6, 'TestIndex') def test_too_much_colons(self, p): s = """ name = s key_format = 32s type = HashIndex hash_lim = 1 make_key_value: 1<=2:1:1,None make_key: 1""" with raises(IndexCreatorFunctionException): p.parse(s, 'TestIndex') s2 = """ name = s key_format = 32s type = HashIndex hash_lim = 1 make_key_value: 1<=2:1,None make_key: a>1::""" with raises(IndexCreatorFunctionException): p.parse(s2, 'TestIndex') s3 = """ name = s key_format = : 32s type = HashIndex hash_lim = 1 make_key_value: 1<=2:1,None make_key: a>1:1""" with raises(IndexCreatorValueException): p.parse(s3, 'TestIndex') def test_name_or_type_set_twice(self, p): s = """ name = s key_format = 32s type = HashIndex hash_lim = 1 type = HashIndex make_key_value: 1<=2:1,None make_key: a>1:1""" with raises(IndexCreatorValueException): p.parse(s, 'TestIndex') s2 = """ type = TreeBasedIndex name = s key_format = : 32s type = HashIndex hash_lim = 1 make_key_value: 1<=2:1,None make_key: a>1:1""" with raises(IndexCreatorValueException): p.parse(s2, 'TestIndex') s3 = """ name = s key_format = 32s type = HashIndex hash_lim = 1 name: a make_key_value: 1<=2:1,None make_key: a>1:1""" with raises(IndexCreatorValueException): p.parse(s3, 'TestIndex') s4 = """ name = s key_format = 32s type = HashIndex name = s hash_lim = 1 make_key_value: 1<=2:1,None make_key: a>1:1""" with raises(IndexCreatorValueException): p.parse(s4, 'TestIndex') def test_wrong_enclosures(self, p): s1 = """ name = s key_format = 32s type = HashIndex make_key_value: 1<=(2)):1,None make_key: a>1:1""" s2 = """ name = s key_format = 32s type = HashIndex make_key_value: a=="aa("):1,None make_key: 1""" s3 = """ name = s key_format = 32s type = HashIndex make_key_value: a=={"aa"):1,None make_key: 1""" s4 = """ name = s key_format = 32s type = HashIndex make_key_value: a=={"aa":1,None make_key: 1""" s5 = """ name = s key_format = 32s type = HashIndex make_key_value: a==""aa":1,None make_key: 1""" s7 = """ name = s key_format = 32s type = HashIndex make_key_value: a==":1,None make_key: 1""" s8 = """ name = s key_format = 32s type = HashIndex make_key_value: a=="aa:1,None make_key: 1""" with raises(IndexCreatorValueException): p.parse(s1, 'TestIndex') with raises(IndexCreatorValueException): p.parse(s2, 'TestIndex') with raises(IndexCreatorValueException): p.parse(s3, 'TestIndex') with raises(IndexCreatorValueException): p.parse(s4, 'TestIndex') with raises(IndexCreatorValueException): p.parse(s5, 'TestIndex') with raises(IndexCreatorValueException): p.parse(s7, 'TestIndex') with raises(IndexCreatorValueException): p.parse(s8, 'TestIndex') def test_excessive_return(self, p): s1 = """ name = s key_format = 32s type = HashIndex make_key_value: 1<=2:1,None 1,None 2,None make_key: a>1:1""" with raises(IndexCreatorFunctionException): p.parse(s1, 'TestIndex') s2 = """ name = s key_format = 32s type = HashIndex make_key_value: 1<=2:1,None 1,None 1>3:2,None make_key: a>1:1""" with raises(IndexCreatorFunctionException): p.parse(s2, 'TestIndex') s3 = """ name = s key_format = 32s type = HashIndex make_key_value: 1<=2:1,None 1>3:2,None make_key: 1 2""" with raises(IndexCreatorFunctionException): p.parse(s3, 'TestIndex') def test_wrong_properities(self, p): s1 = """ name = s key_format = 32s node_capacity=100 type = HashIndex make_key_value: 1<=2:1,None make_key: a>1:1""" with raises(IndexCreatorValueException): p.parse(s1, 'TestIndex') s2 = """ name = s key_format = 32s hash_lim=3 type = TreeBasedIndex make_key_value: 1<=2:1,None make_key: a>1:1""" with raises(IndexCreatorValueException): p.parse(s2, 'TestIndex') s3 = """ name = s key_format = 32s aaa=100 type = HashIndex make_key_value: 1<=2:1,None make_key: a>1:1""" with raises(IndexCreatorValueException): p.parse(s3, 'TestIndex') def test_duplicate_props(self, p): s1 = """ name = s key_format = 32s key_format: 8 type = HashIndex make_key_value: 1<=2:1,None make_key: a>1:1""" with raises(IndexCreatorValueException): p.parse(s1, 'TestIndex') class TestMultiIndexCreator: def test_prefix(self): s = """ name = s type = MultiTreeBasedIndex make_key_value: prefix(a,2,3,3),None """ simple_compare_without_order(s, [({ 'a': 'abcd', 'b': 4 }, (sorted([b"_ab", b"abc"]), None)), ({ 'a': 'ab', 'b': 4 }, (sorted([b"_ab"]), None)), ({ 'a': 'a', 'b': 'abcd' }, (sorted([]), None)), ({ 'a': '', 'b': 'abcd' }, (sorted([]), None)), ({ 'a': 'abc', 'b': 4 }, (sorted([b"_ab", b"abc"]), None))], []) s2 = """ name = s2 type = MultiTreeBasedIndex make_key_value: prefix(a,0,20,5),None """ simple_compare_without_order( s2, [({ 'a': 'abcd', 'b': 4 }, (sorted([b"___ab", b"__abc", b"_abcd", b"____a"]), None)), ({ 'a': 'ab', 'b': 4 }, (sorted([b"___ab", b"____a"]), None)), ({ 'a': 'a', 'b': 'abcd' }, (sorted([b"____a"]), None)), ({ 'a': '', 'b': 'abcd' }, (sorted([]), None)), ({ 'a': 'abc', 'b': 4 }, (sorted([b"___ab", b"__abc", b"____a"]), None))], []) def test_suffix(self): s = """ name = s type = MultiTreeBasedIndex make_key_value: suffix(a,2,3,4),None """ simple_compare_without_order(s, [({ 'a': 'abcd', 'b': 4 }, (sorted([b"__cd", b"_bcd"]), None)), ({ 'a': 'ab', 'b': 4 }, (sorted([b"__ab"]), None)), ({ 'a': 'a', 'b': 'abcd' }, (sorted([]), None)), ({ 'a': '', 'b': 'abcd' }, (sorted([]), None)), ({ 'a': 'abc', 'b': 4 }, (sorted([b"__bc", b"_abc"]), None))], []) s2 = """ name = s2 type = MultiTreeBasedIndex make_key_value: suffix(a,0,20,5),None """ simple_compare_without_order( s2, [({ 'a': 'abcd', 'b': 4 }, (sorted([b"___cd", b"__bcd", b"_abcd", b"____d"]), None)), ({ 'a': 'ab', 'b': 4 }, (sorted([b"___ab", b"____b"]), None)), ({ 'a': 'a', 'b': 'abcd' }, (sorted([b"____a"]), None)), ({ 'a': '', 'b': 'abcd' }, (sorted([]), None)), ({ 'a': 'abc', 'b': 4 }, (sorted([b"___bc", b"__abc", b"____c"]), None))], [])

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null

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1

0

1

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null

0

5

c428e0ca275cdfbe0afe375b0bb759d7ddebed42

192

py

Python

scripts/patches/iam.py

compose-x/troposphere

9a94a8fafd8b4da1cd1f4239be0e7aa0681fd8d4

[ "BSD-2-Clause" ]

null

scripts/patches/iam.py

compose-x/troposphere

9a94a8fafd8b4da1cd1f4239be0e7aa0681fd8d4

[ "BSD-2-Clause" ]

null

scripts/patches/iam.py

compose-x/troposphere

9a94a8fafd8b4da1cd1f4239be0e7aa0681fd8d4

[ "BSD-2-Clause" ]

null

patches = [ # backward compatibility { "op": "move", "from": "/ResourceTypes/AWS::IAM::Policy", "path": "/ResourceTypes/AWS::IAM::PolicyType::Policy", }, ]

21.333333

62

0.53125

16

192

6.375

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0.265625

192

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1

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1

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null

0

5

c447717f7d6765230abffe8b4f16875ef9cc78f9

44

py

Python

python/leetCode/to_lower_case/to_lower_case.py

beasleyDOTcom/data-structures-and-algorithms

2915ed9d9ad5f2e8c983d0711c9e2b52e0ed14ff

[ "MIT" ]

1

2021-09-01T01:39:22.000Z

python/leetCode/to_lower_case/to_lower_case.py

beasleyDOTcom/data-structures-and-algorithms

2915ed9d9ad5f2e8c983d0711c9e2b52e0ed14ff

[ "MIT" ]

47

2020-07-13T21:56:44.000Z

2021-03-06T03:53:25.000Z

python/leetCode/to_lower_case/to_lower_case.py

beasleyDOTcom/data-structures-and-algorithms

2915ed9d9ad5f2e8c983d0711c9e2b52e0ed14ff

[ "MIT" ]

null

def toLowerCase(str): return str.lower()

22

0.704545

6

44

5.166667

0.833333

0

0.159091

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null

0

1

0

1

0

5

c45a43ccb4f70c91a3da83634aa411c45f51363a

80

py

Python

train/__init__.py

jameswind/neuralCT

969829459570c808cceafec665931eb411fff5e2

[ "Apache-2.0" ]

27

2019-10-01T22:59:26.000Z

2020-12-10T14:07:33.000Z

train/__init__.py

jameswind/neuralCT

969829459570c808cceafec665931eb411fff5e2

[ "Apache-2.0" ]

1

2020-03-08T12:11:35.000Z

2020-03-09T08:58:30.000Z

train/__init__.py

jameswind/neuralCT

969829459570c808cceafec665931eb411fff5e2

[ "Apache-2.0" ]

4

2019-10-02T08:13:39.000Z

2021-04-02T14:50:26.000Z

from .learn import learn, reversedKLD from .kld import forwardLearn, forwardKLD

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0

1

0

1

0

5

c461c567e2a4a7f4c869eb9633a93a63e66aadd7

80

py

Python

tests/Field.test.py

muradkhan101/media-site-scraper

251e72612bb9c0dc333ba3274d3c93bfb2abc2ce

[ "MIT" ]

null

tests/Field.test.py

muradkhan101/media-site-scraper

251e72612bb9c0dc333ba3274d3c93bfb2abc2ce

[ "MIT" ]

null

tests/Field.test.py

muradkhan101/media-site-scraper

251e72612bb9c0dc333ba3274d3c93bfb2abc2ce

[ "MIT" ]

null

import sys sys.path.insert(0,'../src') import unittest from Field import Field

13.333333

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80

4.615385

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0

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0.125

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1

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1

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1

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5

c4754e091128a66722571e9a44ccaf3559124dcd

146

py

Python

seafarer/__init__.py

maasglobal/seafarer

643afd6d855d67aea166bf5cb00ec9c832d89548

[ "MIT" ]

1

2019-12-20T12:18:05.000Z

seafarer/__init__.py

MarkusShepherd/seafarer

643afd6d855d67aea166bf5cb00ec9c832d89548

[ "MIT" ]

4

2020-03-24T18:17:50.000Z

2021-06-02T01:13:55.000Z

seafarer/__init__.py

MarkusShepherd/seafarer

643afd6d855d67aea166bf5cb00ec9c832d89548

[ "MIT" ]

1

2019-12-20T12:49:43.000Z

# -*- coding: utf-8 -*- """Taxicab metric on the sphere!""" from .__version__ import VERSION, __version__ from .distance import seafarer_metric

20.857143

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24.333333

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true

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null

0

1

0

1

0

1

0

5

c47e3780c8a8719526077a1fc7347b00d616ffbf

137

py

Python

umu-python/app/service/tosca/vo/protobuf/input_message.py

suomitek/cubeai

cc4c0f5f445a552d239910da63944307c1f06e37

[ "Apache-2.0" ]

null

umu-python/app/service/tosca/vo/protobuf/input_message.py

suomitek/cubeai

cc4c0f5f445a552d239910da63944307c1f06e37

[ "Apache-2.0" ]

null

umu-python/app/service/tosca/vo/protobuf/input_message.py

suomitek/cubeai

cc4c0f5f445a552d239910da63944307c1f06e37

[ "Apache-2.0" ]

null

class InputMessage(dict): def __init__(self, inputMessageName=None): dict.__init__(self, inputMessageName=inputMessageName)

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null

0

1

0

1

0

5

67162c1e10084cb489535f73d9812ecd3d02a9c4

2,633

py

Python

src/vector/_compute/spatial/__init__.py

pfackeldey/vector

87e9e942f2a9ae09a3e250e12f37505eb22e25ea

[ "BSD-3-Clause" ]

40

2020-03-26T13:28:36.000Z

2022-03-23T22:14:35.000Z

src/vector/_compute/spatial/__init__.py

pfackeldey/vector

87e9e942f2a9ae09a3e250e12f37505eb22e25ea

[ "BSD-3-Clause" ]

66

2020-02-14T13:32:18.000Z

2022-03-29T14:35:31.000Z

src/vector/_compute/spatial/__init__.py

pfackeldey/vector

87e9e942f2a9ae09a3e250e12f37505eb22e25ea

[ "BSD-3-Clause" ]

14

2020-01-29T22:03:33.000Z

2022-03-16T02:46:25.000Z

# Copyright (c) 2019-2021, Jonas Eschle, Jim Pivarski, Eduardo Rodrigues, and Henry Schreiner. # # Distributed under the 3-clause BSD license, see accompanying file LICENSE # or https://github.com/scikit-hep/vector for details. """ Compute functions for spatial vectors, which is to say 3D and 4D. Each function is a module with variants for each coordinate system (or combination of coordinate systems) as functions within the module. Each module has a ``dispatch_map`` (dict) that maps coordinate types to the appropriate function and its return type(s), and a ``dispatch`` (function) uses this information to call the right function and return the right type. The compute functions themselves are restricted to a minimum of Python features: no statements other than assignments and one return, no assumptions about data types. In particular, if statements and loops are not allowed. The tests/test_compute_features.py suite ensures that these rules are followed (though that set of allowed features can be expanded if it doesn't prevent the addition of new backends). """ import vector._compute.spatial.add # noqa: F401 import vector._compute.spatial.costheta # noqa: F401 import vector._compute.spatial.cottheta # noqa: F401 import vector._compute.spatial.cross # noqa: F401 import vector._compute.spatial.deltaangle # noqa: F401 import vector._compute.spatial.deltaeta # noqa: F401 import vector._compute.spatial.deltaR # noqa: F401 import vector._compute.spatial.deltaR2 # noqa: F401 import vector._compute.spatial.dot # noqa: F401 import vector._compute.spatial.equal # noqa: F401 import vector._compute.spatial.eta # noqa: F401 import vector._compute.spatial.is_antiparallel # noqa: F401 import vector._compute.spatial.is_parallel # noqa: F401 import vector._compute.spatial.is_perpendicular # noqa: F401 import vector._compute.spatial.isclose # noqa: F401 import vector._compute.spatial.mag # noqa: F401 import vector._compute.spatial.mag2 # noqa: F401 import vector._compute.spatial.not_equal # noqa: F401 import vector._compute.spatial.rotate_axis # noqa: F401 import vector._compute.spatial.rotate_euler # noqa: F401 import vector._compute.spatial.rotate_quaternion # noqa: F401 import vector._compute.spatial.rotateX # noqa: F401 import vector._compute.spatial.rotateY # noqa: F401 import vector._compute.spatial.scale # noqa: F401 import vector._compute.spatial.subtract # noqa: F401 import vector._compute.spatial.theta # noqa: F401 import vector._compute.spatial.transform3D # noqa: F401 import vector._compute.spatial.unit # noqa: F401 import vector._compute.spatial.z # noqa: F401

49.679245

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5.406332

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0

0.044047

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2,633

52

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true

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null

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1

0

null

0

1

0

1

0

1

0

5

6735ac317aa38c6eed419e8f2ccb62d02f0ed71f

219

py

Python

veides/sdk/stream_hub/__init__.py

Veides/veides-sdk-python

0a146f2ac0e9432359524189f6b992d315d2621b

[ "MIT" ]

null

veides/sdk/stream_hub/__init__.py

Veides/veides-sdk-python

0a146f2ac0e9432359524189f6b992d315d2621b

[ "MIT" ]

null

veides/sdk/stream_hub/__init__.py

Veides/veides-sdk-python

0a146f2ac0e9432359524189f6b992d315d2621b

[ "MIT" ]

null

__version__ = '0.2.0' from veides.sdk.stream_hub.client import StreamHubClient from veides.sdk.stream_hub.base_client import BaseClient from veides.sdk.stream_hub.properties import AuthProperties, ConnectionProperties

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0.318436

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null

0

1

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0

5

67691a08bafedd4c554f4e4c3a9ec86501fd657e

278

py

Python

modules/python-codes/modules/oop/src/testing_capitalize.py

drigols/Studies

9c293156935b491ded24be6b511daac67fd43538

[ "MIT" ]

1

2020-09-06T22:17:19.000Z

modules/python-codes/modules/oop/src/testing_capitalize.py

drigols/Studies

9c293156935b491ded24be6b511daac67fd43538

[ "MIT" ]

null

modules/python-codes/modules/oop/src/testing_capitalize.py

drigols/Studies

9c293156935b491ded24be6b511daac67fd43538

[ "MIT" ]

null

######################################################## # Rodrigo Leite - drigols # # Last update: 07/11/2021 # ######################################################## name = "rodrigo leite" print(name.capitalize())

30.888889

56

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14

278

5.142857

0.785714

0.333333

0

0.04

0.280576

278

8

57

34.75

0.32

0.276978

0

0.240741

0

1

0

false

0

0.5

1

0

null

1

0

1

0

1

0

null

0

1

0

5

67776366efbbe27cb3cc10719b6a40bc15d5cb85

224

py

Python

python_inject_practice/core/database.py

neetjn/python-inject-practice

404cdca5e475577c2fa2ce1ba4bb6cd120f18934

[ "MIT" ]

null

python_inject_practice/core/database.py

neetjn/python-inject-practice

404cdca5e475577c2fa2ce1ba4bb6cd120f18934

[ "MIT" ]

null

python_inject_practice/core/database.py

neetjn/python-inject-practice

404cdca5e475577c2fa2ce1ba4bb6cd120f18934

[ "MIT" ]

null

class Database: """Some theoretical database provider.""" data = {} def get(self, key: str): return self.data.get(key) def save(self, key: str, value: all): self.data.setdefault(key, value)

22.4

45

0.602679

29

224

4.655172

0.551724

0.103704

0.148148

0

0.254464

224

9

46

24.888889

0.808383

0.15625

0

1

0.333333

false

0

0.166667

0.833333

0

1

0

null

0

1

0

null

0

1

0

1

0

5

67a8862a1cfbed80a18459e27044072fddf296f0

21

py

Python

hello_user.py

nskprotiv/learn-python

9e1090109bb91b081b68d13ab122b4bcbe27e740

[ "MIT" ]

1

2021-01-07T05:27:33.000Z

hello_user.py

nskprotiv/learn-python

9e1090109bb91b081b68d13ab122b4bcbe27e740

[ "MIT" ]

null

hello_user.py

nskprotiv/learn-python

9e1090109bb91b081b68d13ab122b4bcbe27e740

[ "MIT" ]

null

print("Hello, User")

21

0.666667

3

21

4.666667

1

0

0.095238

21

1

21

0.736842

0

0.5

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

67aafe592d2a4e65033bd5c54c7c094ddae14238

68

py

Python

pyapr/numerics/filter/__init__.py

mosaic-group/PyLibAPR

4b5af50c26b4770c460460f9491bd840af2537da

[ "Apache-2.0" ]

7

2021-07-02T11:08:30.000Z

2022-03-07T20:54:33.000Z

pyapr/numerics/filter/__init__.py

mosaic-group/PyLibAPR

4b5af50c26b4770c460460f9491bd840af2537da

[ "Apache-2.0" ]

19

2020-12-17T09:32:09.000Z

2022-01-08T20:22:16.000Z

pyapr/numerics/filter/__init__.py

mosaic-group/PyLibAPR

4b5af50c26b4770c460460f9491bd840af2537da

[ "Apache-2.0" ]

1

2021-01-19T14:23:36.000Z

from _pyaprwrapper.numerics.filter import * from .stencils import *

22.666667

43

0.808824

8

68

6.75

0.75

0

0.117647

68

2

44

34

0.9

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

67d4a10f2cd872a8db6f5efd38479888ea37a52c

60

py

Python

sandbox/apps/shipping/models.py

rodolfotorres02/django-oscar-paypal

8272b33f86e189f9c82f484881b75de1615ebe59

[ "BSD-3-Clause" ]

149

2015-01-09T18:36:57.000Z

2022-01-19T05:22:11.000Z

sandbox/apps/shipping/models.py

rodolfotorres02/django-oscar-paypal

8272b33f86e189f9c82f484881b75de1615ebe59

[ "BSD-3-Clause" ]

181

2015-01-09T23:57:01.000Z

2022-01-26T19:45:52.000Z

sandbox/apps/shipping/models.py

rodolfotorres02/django-oscar-paypal

8272b33f86e189f9c82f484881b75de1615ebe59

[ "BSD-3-Clause" ]

191

2015-01-12T18:29:58.000Z

2022-03-07T04:44:34.000Z

from oscar.apps.shipping.models import * # noqa isort:skip

30

59

0.766667

9

60

5.111111

1

0

0.133333

60

1

60

0.884615

0.25

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

67e75efc70458d03d6caec16916c2e7b9560f317

329

py

Python

tasks_helper/packager/base.py

thinow/aws-kinesis-consumer

94aaa88bd91ff8e7dd8a6716083a95d303281a0f

[ "MIT" ]

29

2021-02-19T18:35:20.000Z

2022-03-16T13:15:25.000Z

tasks_helper/packager/base.py

thinow/aws-kinesis-consumer

94aaa88bd91ff8e7dd8a6716083a95d303281a0f

[ "MIT" ]

1

2021-03-23T20:57:11.000Z

tasks_helper/packager/base.py

thinow/aws-kinesis-consumer

94aaa88bd91ff8e7dd8a6716083a95d303281a0f

[ "MIT" ]

null

from abc import ABC, abstractmethod import invoke class Packager(ABC): @abstractmethod def get_name(self) -> str: pass @abstractmethod def build(self, runner: invoke.Runner) -> None: pass @abstractmethod def deploy(self, runner: invoke.Runner, destination: str) -> None: pass

18.277778

70

0.647416

37

329

5.72973

0.486486

0.240566

0.198113

0.207547

0

0.261398

329

17

71

19.352941

0.872428

0

0.5

0

1

0.25

false

0.25

0.166667

0

0.5

0

null

1

0

null

0

1

0

1

0

5

db2d179f2703d19cdfe4a258bb9df25e8a7bc781

875

py

Python

build/wheeled_robot_kinematics/cmake/wheeled_robot_kinematics-genmsg-context.py

anurag-b/project_2_cmsc498F

736626e0144cf45ebeddd341cfcb4fcdac679c3f

[ "MIT" ]

null

build/wheeled_robot_kinematics/cmake/wheeled_robot_kinematics-genmsg-context.py

anurag-b/project_2_cmsc498F

736626e0144cf45ebeddd341cfcb4fcdac679c3f

[ "MIT" ]

null

build/wheeled_robot_kinematics/cmake/wheeled_robot_kinematics-genmsg-context.py

anurag-b/project_2_cmsc498F

736626e0144cf45ebeddd341cfcb4fcdac679c3f

[ "MIT" ]

null

# generated from genmsg/cmake/pkg-genmsg.context.in messages_str = "/home/anuragb/ros_prac/catkin_ws_p10/src/wheeled_robot_kinematics/msg/DiffDriveAction.msg" services_str = "/home/anuragb/ros_prac/catkin_ws_p10/src/wheeled_robot_kinematics/srv/DiffDriveFK.srv;/home/anuragb/ros_prac/catkin_ws_p10/src/wheeled_robot_kinematics/srv/DiffDriveIK.srv" pkg_name = "wheeled_robot_kinematics" dependencies_str = "geometry_msgs" langs = "gencpp;genlisp;genpy" dep_include_paths_str = "wheeled_robot_kinematics;/home/anuragb/ros_prac/catkin_ws_p10/src/wheeled_robot_kinematics/msg;geometry_msgs;/opt/ros/indigo/share/geometry_msgs/cmake/../msg;std_msgs;/opt/ros/indigo/share/std_msgs/cmake/../msg" PYTHON_EXECUTABLE = "/usr/bin/python" package_has_static_sources = '' == 'TRUE' genmsg_check_deps_script = "/opt/ros/indigo/share/genmsg/cmake/../../../lib/genmsg/genmsg_check_deps.py"

72.916667

236

0.822857

132

875

5.113636

0.416667

0.106667

0.195556

0.106667

0.408889

0.346667

0

0.009512

0.038857

875

11

237

79.545455

0.793103

0.056

0

1

0.222222

0.753641

0.690534

0

1

0

false

0

null

0

1

0

1

null

0

5

e1e4180d247bedf312a3b7cf6ced184d64872c57

83

py

Python

hub/admin.py

iver56/useat-api

f0f241c584cbb05990ee4afb5bb1b2fd6d5fdb44

[ "MIT" ]

null

hub/admin.py

iver56/useat-api

f0f241c584cbb05990ee4afb5bb1b2fd6d5fdb44

[ "MIT" ]

null

hub/admin.py

iver56/useat-api

f0f241c584cbb05990ee4afb5bb1b2fd6d5fdb44

[ "MIT" ]

null

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

16.6

32

0.807229

13

83

5.153846

0.692308

0

0.120482

83

4

33

20.75

0.917808

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

e1f8af463860de36b46c0bf1924cf5bf496aa1bf

103

py

Python

streamTest.py

alabecki/Strong-Equivalence-Solver

50afda36db67988b20892a9e47f34d1763542ccc

[ "MIT" ]

null

streamTest.py

alabecki/Strong-Equivalence-Solver

50afda36db67988b20892a9e47f34d1763542ccc

[ "MIT" ]

null

streamTest.py

alabecki/Strong-Equivalence-Solver

50afda36db67988b20892a9e47f34d1763542ccc

[ "MIT" ]

null

import sys import se_main if sys.stdin.isatty(): data = sys.stdin.readlines() else:

11.444444

31

0.61165

14

103

4.428571

0.714286

0.258065

0

0.281553

103

9

32

11.444444

0.837838

0

null

0

0.4

null

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

c01e595e6afe61e07f62508916826b2c69852278

258

py

Python

opendeep/models/single_layer/__init__.py

vitruvianscience/OpenDeep

e96efc449101094354b615cf15afe6d03644fc36

[ "Apache-2.0" ]

252

2015-03-13T21:55:22.000Z

2021-09-06T21:37:38.000Z

opendeep/models/single_layer/__init__.py

afcarl/OpenDeep

e96efc449101094354b615cf15afe6d03644fc36

[ "Apache-2.0" ]

16

2015-03-14T06:47:04.000Z

2016-09-23T19:13:35.000Z

opendeep/models/single_layer/__init__.py

afcarl/OpenDeep

e96efc449101094354b615cf15afe6d03644fc36

[ "Apache-2.0" ]

68

2015-03-14T00:05:53.000Z

2020-06-04T13:36:13.000Z

from __future__ import division, absolute_import, print_function # from .autoencoder import * from .basic import * from .convolutional import * from .restricted_boltzmann_machine import * from .gru import GRU from .lstm import LSTM from .recurrent import *

25.8

64

0.802326

33

258

6.030303

0.484848

0.201005

0

0.139535

258

9

65

28.666667

0.896396

0.100775

0

1

0

true

0

1

0

1

0.142857

0

null

1

0

1

0

null

0

1

0

1

0

1

0

5

fbf20c01ad1606a5277d4e9c531384bdf266da8d

120

py

Python

apps/continiousauth/admin.py

larserikgk/mobiauth-server

fa7a645132432ff0d69d47c57c266f58efb8daab

[ "MIT" ]

null

apps/continiousauth/admin.py

larserikgk/mobiauth-server

fa7a645132432ff0d69d47c57c266f58efb8daab

[ "MIT" ]

null

apps/continiousauth/admin.py

larserikgk/mobiauth-server

fa7a645132432ff0d69d47c57c266f58efb8daab

[ "MIT" ]

null

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

20

42

0.858333

13

120

7.923077

0.692308

0

0.091667

120

5

43

24

0.944954

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

22326a7b06c112af9d3b1d5fde4f850aae78e66e

71

py

Python

whois/__init__.py

jlowe77/Eris-Cogs

2ade8f82db3477527af3cff3b48ebb281e1a6987

[ "Apache-2.0" ]

6

2020-05-13T20:43:53.000Z

2021-06-23T16:10:13.000Z

whois/__init__.py

jlowe77/Eris-Cogs

2ade8f82db3477527af3cff3b48ebb281e1a6987

[ "Apache-2.0" ]

12

2019-04-02T13:29:10.000Z

2020-03-27T18:07:16.000Z

whois/__init__.py

jlowe77/Eris-Cogs

2ade8f82db3477527af3cff3b48ebb281e1a6987

[ "Apache-2.0" ]

9

2020-06-07T21:46:54.000Z

2022-03-01T22:49:02.000Z

from .whois import WhoIs def setup(bot): bot.add_cog(WhoIs(bot))

11.833333

27

0.690141

12

71

4

0.666667

0

0.183099

71

5

28

14.2

0.827586

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

224e3f248d0a53f07e99a2a25c63ee4dfe49fe9d

5,991

py

Python

tests/integration_tests/test_shap.py

masap/optuna

f56cea87c4771d53b39f441e727d733dd1785557

[ "MIT" ]

1,300

2018-12-03T06:11:11.000Z

2019-11-15T01:28:25.000Z

tests/integration_tests/test_shap.py

masap/optuna

f56cea87c4771d53b39f441e727d733dd1785557

[ "MIT" ]

274

2018-12-04T09:54:07.000Z

2019-11-15T02:23:18.000Z

tests/integration_tests/test_shap.py

masap/optuna

f56cea87c4771d53b39f441e727d733dd1785557

[ "MIT" ]

148

2018-12-03T10:48:50.000Z

2019-11-11T16:37:51.000Z

from typing import Tuple import pytest from optuna import create_study from optuna import Trial from optuna.distributions import FloatDistribution from optuna.integration.shap import ShapleyImportanceEvaluator from optuna.samplers import RandomSampler from optuna.trial import create_trial def objective(trial: Trial) -> float: x1 = trial.suggest_float("x1", 0.1, 3) x2 = trial.suggest_float("x2", 0.1, 3, log=True) x3 = trial.suggest_float("x3", 2, 4, log=True) return x1 + x2 * x3 def test_mean_abs_shap_importance_evaluator_n_trees() -> None: # Assumes that `seed` can be fixed to reproduce identical results. study = create_study(sampler=RandomSampler(seed=0)) study.optimize(objective, n_trials=3) evaluator = ShapleyImportanceEvaluator(n_trees=10, seed=0) param_importance = evaluator.evaluate(study) evaluator = ShapleyImportanceEvaluator(n_trees=20, seed=0) param_importance_different_n_trees = evaluator.evaluate(study) assert param_importance != param_importance_different_n_trees def test_mean_abs_shap_importance_evaluator_max_depth() -> None: # Assumes that `seed` can be fixed to reproduce identical results. study = create_study(sampler=RandomSampler(seed=0)) study.optimize(objective, n_trials=3) evaluator = ShapleyImportanceEvaluator(max_depth=1, seed=0) param_importance = evaluator.evaluate(study) evaluator = ShapleyImportanceEvaluator(max_depth=2, seed=0) param_importance_different_max_depth = evaluator.evaluate(study) assert param_importance != param_importance_different_max_depth def test_mean_abs_shap_importance_evaluator_seed() -> None: study = create_study(sampler=RandomSampler(seed=0)) study.optimize(objective, n_trials=3) evaluator = ShapleyImportanceEvaluator(seed=2) param_importance = evaluator.evaluate(study) evaluator = ShapleyImportanceEvaluator(seed=2) param_importance_same_seed = evaluator.evaluate(study) assert param_importance == param_importance_same_seed evaluator = ShapleyImportanceEvaluator(seed=3) param_importance_different_seed = evaluator.evaluate(study) assert param_importance != param_importance_different_seed def test_mean_abs_shap_importance_evaluator_with_target() -> None: # Assumes that `seed` can be fixed to reproduce identical results. study = create_study(sampler=RandomSampler(seed=0)) study.optimize(objective, n_trials=3) evaluator = ShapleyImportanceEvaluator(seed=0) param_importance = evaluator.evaluate(study) param_importance_with_target = evaluator.evaluate( study, target=lambda t: t.params["x1"] + t.params["x2"], ) assert param_importance != param_importance_with_target @pytest.mark.parametrize("inf_value", [float("inf"), -float("inf")]) def test_shap_importance_evaluator_with_infinite(inf_value: float) -> None: # The test ensures that trials with infinite values are ignored to calculate importance scores. n_trial = 10 seed = 13 # Importance scores are calculated without a trial with an inf value. study = create_study(sampler=RandomSampler(seed=seed)) study.optimize(objective, n_trials=n_trial) evaluator = ShapleyImportanceEvaluator(seed=seed) param_importance_without_inf = evaluator.evaluate(study) # A trial with an inf value is added into the study manually. study.add_trial( create_trial( value=inf_value, params={"x1": 1.0, "x2": 1.0, "x3": 3.0}, distributions={ "x1": FloatDistribution(low=0.1, high=3), "x2": FloatDistribution(low=0.1, high=3, log=True), "x3": FloatDistribution(low=2, high=4, log=True), }, ) ) # Importance scores are calculated with a trial with an inf value. param_importance_with_inf = evaluator.evaluate(study) # Obtained importance scores should be the same between with inf and without inf, # because the last trial whose objective value is an inf is ignored. assert param_importance_with_inf == param_importance_without_inf @pytest.mark.parametrize("target_idx", [0, 1]) @pytest.mark.parametrize("inf_value", [float("inf"), -float("inf")]) def test_multi_objective_shap_importance_evaluator_with_infinite( target_idx: int, inf_value: float ) -> None: def multi_objective_function(trial: Trial) -> Tuple[float, float]: x1 = trial.suggest_float("x1", 0.1, 3) x2 = trial.suggest_float("x2", 0.1, 3, log=True) x3 = trial.suggest_float("x3", 2, 4, log=True) return x1, x2 * x3 # The test ensures that trials with infinite values are ignored to calculate importance scores. n_trial = 10 seed = 13 # Importance scores are calculated without a trial with an inf value. study = create_study(directions=["minimize", "minimize"], sampler=RandomSampler(seed=seed)) study.optimize(multi_objective_function, n_trials=n_trial) evaluator = ShapleyImportanceEvaluator(seed=seed) param_importance_without_inf = evaluator.evaluate(study, target=lambda t: t.values[target_idx]) # A trial with an inf value is added into the study manually. study.add_trial( create_trial( values=[inf_value, inf_value], params={"x1": 1.0, "x2": 1.0, "x3": 3.0}, distributions={ "x1": FloatDistribution(low=0.1, high=3), "x2": FloatDistribution(low=0.1, high=3, log=True), "x3": FloatDistribution(low=2, high=4, log=True), }, ) ) # Importance scores are calculated with a trial with an inf value. param_importance_with_inf = evaluator.evaluate(study, target=lambda t: t.values[target_idx]) # Obtained importance scores should be the same between with inf and without inf, # because the last trial whose objective value is an inf is ignored. assert param_importance_with_inf == param_importance_without_inf

38.651613

99

0.719579

778

5,991

5.344473

0.132391

0.097403

0.068783

0.017316

0.844637

0.791246

0.766474

0.695767

0.594517

0

0.022181

0.187281

5,991

154

100

38.902597

0.831793

0.177266

0

0.44

0

0.01954

0

0.07

1

0.08

false

0

0.44

0

0.54

0

null

0

1

0

null

0

1

0

1

0

5

226b998e4c8765b26d726b26d53496c6d0694b0e

235

py

Python

yt_arch/core/api_client.py

nailgun/youtube-playlist-archiver

69727075e0151d03259c373647278312b11f0299

[ "MIT" ]

null

yt_arch/core/api_client.py

nailgun/youtube-playlist-archiver

69727075e0151d03259c373647278312b11f0299

[ "MIT" ]

null

yt_arch/core/api_client.py

nailgun/youtube-playlist-archiver

69727075e0151d03259c373647278312b11f0299

[ "MIT" ]

1

2021-05-10T12:47:25.000Z

import httpapiclient from httpapiclient.mixins import JsonResponseMixin, HelperMethodsMixin class ApiClient(JsonResponseMixin, HelperMethodsMixin, httpapiclient.BaseApiClient): base_url = 'https://www.googleapis.com/youtube/v3/'

33.571429

84

0.834043

22

235

8.863636

0.772727

0.358974

0

0.004651

0.085106

235

6

85

39.166667

0.902326

0

0.161702

0

1

0

false

0

0.5

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

227a1bdd855e2eb371c90643872c522b58e01b44

190

py

Python

Infosys Assignments/44.py

DivyaMaddipudi/Infosyscc

8792cb89df36efc42bdd335c7be6079fcea95be7

[ "MIT" ]

null

Infosys Assignments/44.py

DivyaMaddipudi/Infosyscc

8792cb89df36efc42bdd335c7be6079fcea95be7

[ "MIT" ]

null

Infosys Assignments/44.py

DivyaMaddipudi/Infosyscc

8792cb89df36efc42bdd335c7be6079fcea95be7

[ "MIT" ]

null

import time print(time.time()) print(time.localtime()) print(time.localtime(time.time())) print(time.asctime()) mytime = (2019,2,5,19,10,20,0,0,0) print(time.localtime(time.mktime(mytime)))

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97d410c7606e126729099fe43d7ae44d47209ca2

415

py

Python

paypal/__init__.py

denisroldan/paypal-python

2bfd8b5204a0befd76f0c1baec30d39f2c82c3ed

[ "Apache-2.0" ]

1

2016-01-20T14:12:31.000Z

paypal/__init__.py

mcordes/paypal-python

86512481b5cd3700e13a601f193bb574b9338a43

[ "Apache-2.0" ]

null

paypal/__init__.py

mcordes/paypal-python

86512481b5cd3700e13a601f193bb574b9338a43

[ "Apache-2.0" ]

1

2019-07-16T15:31:52.000Z

# coding=utf-8 #noinspection PyUnresolvedReferences from paypal.interface import PayPalInterface #noinspection PyUnresolvedReferences from paypal.settings import PayPalConfig #noinspection PyUnresolvedReferences from paypal.exceptions import PayPalError, PayPalConfigError, PayPalAPIResponseError #noinspection PyUnresolvedReferences import paypal.countries import logging logging.basicConfig() VERSION = '1.2.0'

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5

97f50d958f79452a07edd66716f91b3fe2ffbdd3

139

py

Python

Python/find-common-characters.py

coolryze/LeetCode

03876232521a20d32f8fa4e7d6d19cf208739a79

[ "MIT" ]

2

2018-07-18T01:33:07.000Z

2018-11-16T03:17:03.000Z

Python/find-common-characters.py

coolryze/LeetCode

03876232521a20d32f8fa4e7d6d19cf208739a79

[ "MIT" ]

null

Python/find-common-characters.py

coolryze/LeetCode

03876232521a20d32f8fa4e7d6d19cf208739a79

[ "MIT" ]

null

class Solution(object): def commonChars(self, A): """ :type A: List[str] :rtype: List[str] """

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null

0

1

0

1

0

5

3f188b2f51ccccb561ff87b128e6198d00f6cf3b

54

py

Python

astraviso/demo/__init__.py

bradsease/test2

0925f1a170b2e1d7c09902cd8550dc844b7d7764

[ "MIT" ]

null

astraviso/demo/__init__.py

bradsease/test2

0925f1a170b2e1d7c09902cd8550dc844b7d7764

[ "MIT" ]

44

2017-02-22T23:38:52.000Z

2017-03-02T03:27:11.000Z

astraviso/demo/__init__.py

bradsease/test

0925f1a170b2e1d7c09902cd8550dc844b7d7764

[ "MIT" ]

null

""" Astra Viso demo scripts. """ from .demo import *

9

24

0.62963

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54

4.857143

0.857143

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0.203704

54

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null

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1

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1

0

5

3f3b45d76ba923c3e0e39ec057a31b530ae254e1

269

py

Python

sktracker/tracker/cost_function/tests/test_gap_close_cost_function.py

bnoi/scikit-tracker

8771006a3a682ab299e4446c800c05f36a027df7

[ "BSD-3-Clause" ]

6

2016-03-03T12:45:32.000Z

2018-07-06T18:51:46.000Z

sktracker/tracker/cost_function/tests/test_gap_close_cost_function.py

bnoi/scikit-tracker

8771006a3a682ab299e4446c800c05f36a027df7

[ "BSD-3-Clause" ]

1

2021-05-12T07:54:20.000Z

sktracker/tracker/cost_function/tests/test_gap_close_cost_function.py

bnoi/scikit-tracker

8771006a3a682ab299e4446c800c05f36a027df7

[ "BSD-3-Clause" ]

2

2017-11-27T13:40:43.000Z

2020-12-12T18:31:11.000Z

# -*- coding: utf-8 -*- from __future__ import unicode_literals from __future__ import division from __future__ import absolute_import from __future__ import print_function from sktracker.tracker.cost_function.gap_close import AbstractGapCloseCostFunction # TODO

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1

0

1

0

1

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5

3f3d9fb0ae46584fa15345b0c69475257d127e1e

57

py

Python

scene_packager/python/scene_packager/__main__.py

evil-g/scene_packager

4bd55a4c47e09870b5a112e8ec534196f3e631a8

[ "MIT" ]

null

scene_packager/python/scene_packager/__main__.py

evil-g/scene_packager

4bd55a4c47e09870b5a112e8ec534196f3e631a8

[ "MIT" ]

null

scene_packager/python/scene_packager/__main__.py

evil-g/scene_packager

4bd55a4c47e09870b5a112e8ec534196f3e631a8

[ "MIT" ]

null

import sys from . import cli sys.exit(cli.main())

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null

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1

0

1

0

1

0

5

3f61a2711fbe905299284976b4c709d54ba226a7

170

py

Python

models.py

gabimachado/cooktop-IoT

120776ec580cd5a8166672cfd25c65b746401af1

[ "MIT" ]

2

2016-12-23T22:18:57.000Z

2017-02-20T08:49:32.000Z

models.py

gabimachado/cooktop-IoT

120776ec580cd5a8166672cfd25c65b746401af1

[ "MIT" ]

null

models.py

gabimachado/cooktop-IoT

120776ec580cd5a8166672cfd25c65b746401af1

[ "MIT" ]

1

2021-05-28T16:16:17.000Z

from django.db import models class Mode(models.Model): name = models.CharField(max_length=50) class State(models.Model): name = models.CharField(max_length=50)

21.25

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0

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null

0

1

0

5

3f731874f470ffddccddf044357effa058b8e311

8,785

py

Python

tests/test_e2e.py

mlspec/mlspeclib-action-docker

2709ff39d4defc4ece07c2b3f36b5b571bab4bd2

[ "MIT" ]

null

tests/test_e2e.py

mlspec/mlspeclib-action-docker

2709ff39d4defc4ece07c2b3f36b5b571bab4bd2

[ "MIT" ]

null

tests/test_e2e.py

mlspec/mlspeclib-action-docker

2709ff39d4defc4ece07c2b3f36b5b571bab4bd2

[ "MIT" ]

null

import os import sys import io import unittest import logging import pathlib from pathlib import Path from unittest.mock import patch, MagicMock import yaml as YAML import gremlin_python from gremlin_python.driver import client import mlspeclib.experimental.metastore from mlspeclib import MLObject, MLSchema from collections import namedtuple from unittest import mock from unittest.mock import Mock from box import Box import base64 from marshmallow.class_registry import RegistryError from random import random, randint, randrange import datetime import uuid if Path("src").exists(): sys.path.append(str(Path("src"))) sys.path.append(str(Path.cwd())) sys.path.append(str(Path.cwd().parent)) from main import ( main, convert_environment_variables_to_dict, verify_parameters_folder_and_file_exist, load_metastore_connection, load_workflow_object, load_contract_object, execute_step, load_parameters, ) from utils.utils import ( # noqa E402 report_found_params, setupLogger, KnownException, verify_result_contract, ) from step_execution import StepExecution # noqa E402 class test_e2e(unittest.TestCase): """Main test cases.""" input_parameters = { # Put sample required input parameters here } execution_parameters = { # Put sample required execution parameters here } def setUp(self): (self.rootLogger, self._buffer) = setupLogger().get_loggers() MLSchema.populate_registry() MLSchema.append_schema_to_registry(Path.cwd() / "tests" / "schemas_for_test") def test_process_data(self): """ Full E2E of Process Data """ # THESE SHOULD BE THE ONLY SETTINGS FOR THIS FILE step_name = "process_data" expected_results_schema_type = "data_result" # MUST BE A LOADED SCHEMA expected_results_schema_version = "9999.0.1" # MUST BE A SEMVER results_ml_object = MLObject() results_ml_object.set_type( schema_type=expected_results_schema_type, schema_version=expected_results_schema_version, ) # Should error due to missing fields with self.assertRaises(ValueError) as context: verify_result_contract( results_ml_object, expected_results_schema_type, expected_results_schema_version, step_name, ) self.assertTrue( f"Error verifying result object for '{step_name}.output'" in str(context.exception) ) results_ml_object = MLObject() result_ml_object_schema_type = expected_results_schema_type result_ml_object_schema_version = expected_results_schema_version exec( (Path("tests") / "sample_process_data_execution.py").read_text(), globals(), locals(), ) results_ml_object.run_date = datetime.datetime.now() results_ml_object.step_id = str(uuid.uuid4()) results_ml_object.run_id = str(uuid.uuid4()) results_ml_object.execution_profile.system_memory_utilization = random() results_ml_object.execution_profile.network_traffic_in_bytes = randint( 7e9, 9e10 ) results_ml_object.execution_profile.gpu_temperature = randint(70, 130) results_ml_object.execution_profile.disk_io_utilization = random() results_ml_object.execution_profile.gpu_percent_of_time_accessing_memory = ( random() ) results_ml_object.execution_profile.cpu_utilization = random() results_ml_object.execution_profile.gpu_utilization = random() results_ml_object.execution_profile.gpu_memory_allocation = random() self.assertTrue( verify_result_contract( results_ml_object, expected_results_schema_type, expected_results_schema_version, step_name, ) ) def test_train(self): step_name = "train" expected_results_schema_type = "training_results" # MUST BE A LOADED SCHEMA expected_results_schema_version = "9999.0.1" # MUST BE A SEMVER step_execution_object = StepExecution( self.input_parameters, self.execution_parameters ) results_ml_object = MLObject() results_ml_object.set_type( schema_type=expected_results_schema_type, schema_version=expected_results_schema_version, ) # Should error due to missing fields with self.assertRaises(ValueError) as context: verify_result_contract( results_ml_object, expected_results_schema_type, expected_results_schema_version, step_name, ) self.assertTrue( f"Error verifying result object for '{step_name}.output'" in str(context.exception) ) result_ml_object_schema_type = expected_results_schema_type result_ml_object_schema_version = expected_results_schema_version exec( (Path("tests") / "sample_train_execution.py").read_text(), globals(), locals(), ) results_ml_object.run_date = datetime.datetime.now() results_ml_object.step_id = uuid.uuid4() results_ml_object.run_id = uuid.uuid4() results_ml_object.execution_profile.system_memory_utilization = random() results_ml_object.execution_profile.network_traffic_in_bytes = randint( 7e9, 9e10 ) results_ml_object.execution_profile.gpu_temperature = randint(70, 130) results_ml_object.execution_profile.disk_io_utilization = random() results_ml_object.execution_profile.gpu_percent_of_time_accessing_memory = ( random() ) results_ml_object.execution_profile.cpu_utilization = random() results_ml_object.execution_profile.gpu_utilization = random() results_ml_object.execution_profile.gpu_memory_allocation = random() self.assertTrue( verify_result_contract( results_ml_object, expected_results_schema_type, expected_results_schema_version, step_name, ) ) def test_package(self): step_name = "train" expected_results_schema_type = "package_results" # MUST BE A LOADED SCHEMA expected_results_schema_version = "9999.0.1" # MUST BE A SEMVER step_execution_object = StepExecution( self.input_parameters, self.execution_parameters ) results_ml_object = MLObject() results_ml_object.set_type( schema_type=expected_results_schema_type, schema_version=expected_results_schema_version, ) # Should error due to missing fields with self.assertRaises(ValueError) as context: verify_result_contract( results_ml_object, expected_results_schema_type, expected_results_schema_version, step_name, ) self.assertTrue( f"Error verifying result object for '{step_name}.output'" in str(context.exception) ) result_ml_object_schema_type = expected_results_schema_type result_ml_object_schema_version = expected_results_schema_version exec( (Path("tests") / "sample_package_execution.py").read_text(), globals(), locals(), ) results_ml_object.run_date = datetime.datetime.now() results_ml_object.step_id = uuid.uuid4() results_ml_object.run_id = uuid.uuid4() results_ml_object.execution_profile.system_memory_utilization = random() results_ml_object.execution_profile.network_traffic_in_bytes = randint( 7e9, 9e10 ) results_ml_object.execution_profile.gpu_temperature = randint(70, 130) results_ml_object.execution_profile.disk_io_utilization = random() results_ml_object.execution_profile.gpu_percent_of_time_accessing_memory = ( random() ) results_ml_object.execution_profile.cpu_utilization = random() results_ml_object.execution_profile.gpu_utilization = random() results_ml_object.execution_profile.gpu_memory_allocation = random() self.assertTrue( verify_result_contract( results_ml_object, expected_results_schema_type, expected_results_schema_version, step_name, ) ) if __name__ == "__main__": unittest.main() # unittest.load_tests()

33.150943

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null

0

1

0

null

0

5

58b103a5ffc89b0f021065cc47c20ed47a2bad2f

56

py

Python

main.py

Th3Shadowbroker/tic-tac-toe-ai

78208fcf16a863dd449cc783c36fb025a28ae288

[ "MIT" ]

null

main.py

Th3Shadowbroker/tic-tac-toe-ai

78208fcf16a863dd449cc783c36fb025a28ae288

[ "MIT" ]

null

main.py

Th3Shadowbroker/tic-tac-toe-ai

78208fcf16a863dd449cc783c36fb025a28ae288

[ "MIT" ]

null

from tictactoe import Game game = Game() game.start()

9.333333

26

0.714286

8

56

5

0.625

0.6

0

0.178571

56

5

27

11.2

0.869565

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0

false

0

0.333333

0

0.333333

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0

null

1

0

1

0

null

0

1

0

5

58bbbfdb7fa166fdd6b967ee041f51f34238e5d1

71

py

Python

ezpadova/__init__.py

ktfm2/Kai_updates

f731922d3e140c1f16ea9b4b45f39232fe19a1ba

[ "MIT" ]

1

2020-03-30T02:33:45.000Z

ezpadova/__init__.py

ktfm2/Kai_updates

f731922d3e140c1f16ea9b4b45f39232fe19a1ba

[ "MIT" ]

null

ezpadova/__init__.py

ktfm2/Kai_updates

f731922d3e140c1f16ea9b4b45f39232fe19a1ba

[ "MIT" ]

2

2018-09-26T05:15:33.000Z

2020-09-27T21:10:11.000Z

from .cmd import get_Z_isochrones, get_one_isochrone, get_t_isochrones

35.5

70

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71

4.666667

0.75

0

0.084507

71

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71

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true

0

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0

null

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1

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1

0

1

0

5

58c69742147c304e56fc64fc2768fd4bf5d62a99

32

py

Python

PiCN/Layers/NFNLayer/NFNExecutor/test/__init__.py

NikolaiRutz/PiCN

7775c61caae506a88af2e4ec34349e8bd9098459

[ "BSD-3-Clause" ]

null

PiCN/Layers/NFNLayer/NFNExecutor/test/__init__.py

NikolaiRutz/PiCN

7775c61caae506a88af2e4ec34349e8bd9098459

[ "BSD-3-Clause" ]

5

2020-07-15T09:01:42.000Z

2020-09-28T08:45:21.000Z

PiCN/Layers/NFNLayer/NFNExecutor/test/__init__.py

NikolaiRutz/PiCN

7775c61caae506a88af2e4ec34349e8bd9098459

[ "BSD-3-Clause" ]

null

"""Tests of the NFN Executors"""

32

0.6875

5

32

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0

0.125

32

1

32

0.785714

0.8125

0

null

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null

0

1

0

1

0

null

0

1

0

5

45189b29be58a540e1218e2460e169d7b27f4e5d

30

py

Python

probvis/__init__.py

psanch21/prob-visualize

c0a2fdf3ad334e1178d1aada069ea93c796ac355

[ "MIT" ]

3

2020-06-24T13:31:41.000Z

2021-04-01T08:23:37.000Z

probvis/__init__.py

psanch21/prob-visualize

c0a2fdf3ad334e1178d1aada069ea93c796ac355

[ "MIT" ]

null

probvis/__init__.py

psanch21/prob-visualize

c0a2fdf3ad334e1178d1aada069ea93c796ac355

[ "MIT" ]

null

# import probvis.distributions

30

0.866667

3

30

8.666667

1

0

0.066667

30

1

30

0.928571

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1

0

null

0

1

0

5

452c319f57f8e4bc459bcfd988ec9eb20065a768

121

py

Python

tests/conftest.py

p1c2u/galaxy-swift

1d0a5926b129e499d6051de2d5167284b5295f79

[ "Apache-2.0" ]

2

2019-08-01T04:40:20.000Z

2019-11-21T22:28:31.000Z

tests/conftest.py

p1c2u/galaxy-swift

1d0a5926b129e499d6051de2d5167284b5295f79

[ "Apache-2.0" ]

null

tests/conftest.py

p1c2u/galaxy-swift

1d0a5926b129e499d6051de2d5167284b5295f79

[ "Apache-2.0" ]

null

import logging import pytest @pytest.fixture(autouse=True) def my_caplog(caplog): caplog.set_level(logging.DEBUG)

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4541eb59f787c0fe0def9078ef9118bb16782a34

52,269

py

Python

tests/unit/lib/intrinsic_resolver/test_intrinsic_resolver.py

G4brym/aws-sam-cli

0601140f031f5b325b1861b298a6a589cf9c072b

[ "BSD-2-Clause", "Apache-2.0" ]

1

2019-05-01T08:27:35.000Z

tests/unit/lib/intrinsic_resolver/test_intrinsic_resolver.py

G4brym/aws-sam-cli

0601140f031f5b325b1861b298a6a589cf9c072b

[ "BSD-2-Clause", "Apache-2.0" ]

2

2020-06-18T06:24:28.000Z

2020-10-06T14:52:35.000Z

tests/unit/lib/intrinsic_resolver/test_intrinsic_resolver.py

G4brym/aws-sam-cli

0601140f031f5b325b1861b298a6a589cf9c072b

[ "BSD-2-Clause", "Apache-2.0" ]

1

2020-06-17T11:55:28.000Z

import json from collections import OrderedDict from copy import deepcopy from pathlib import Path from unittest import TestCase from unittest.mock import patch from parameterized import parameterized from samcli.lib.intrinsic_resolver.intrinsic_property_resolver import IntrinsicResolver from samcli.lib.intrinsic_resolver.intrinsics_symbol_table import IntrinsicsSymbolTable from samcli.lib.intrinsic_resolver.invalid_intrinsic_exception import InvalidIntrinsicException class TestIntrinsicFnJoinResolver(TestCase): def setUp(self): self.resolver = IntrinsicResolver(template={}, symbol_resolver=IntrinsicsSymbolTable()) def test_basic_fn_join(self): intrinsic = {"Fn::Join": [",", ["a", "b", "c", "d"]]} result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertEqual(result, "a,b,c,d") def test_nested_fn_join(self): intrinsic_base_1 = {"Fn::Join": [",", ["a", "b", "c", "d"]]} intrinsic_base_2 = {"Fn::Join": [";", ["g", "h", "i", intrinsic_base_1]]} intrinsic = {"Fn::Join": [":", [intrinsic_base_1, "e", "f", intrinsic_base_2]]} result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertEqual(result, "a,b,c,d:e:f:g;h;i;a,b,c,d") @parameterized.expand( [ ("Fn::Join should fail for values that are not lists: {}".format(item), item) for item in [True, False, "Test", {}, 42, None] ] ) def test_fn_join_arguments_invalid_formats(self, name, intrinsic): with self.assertRaises(InvalidIntrinsicException, msg=name): self.resolver.intrinsic_property_resolver({"Fn::Join": intrinsic}, True) @parameterized.expand( [ ("Fn::Join should fail if the first argument does not resolve to a string: {}".format(item), item) for item in [True, False, {}, 42, None] ] ) def test_fn_join_delimiter_invalid_type(self, name, delimiter): with self.assertRaises(InvalidIntrinsicException, msg=name): self.resolver.intrinsic_property_resolver({"Fn::Join": [delimiter, []]}, True) @parameterized.expand( [ ("Fn::Join should fail if the list_of_objects is not a valid list: {}".format(item), item) for item in [True, False, {}, 42, "t", None] ] ) def test_fn_list_of_objects_invalid_type(self, name, list_of_objects): with self.assertRaises(InvalidIntrinsicException, msg=name): self.resolver.intrinsic_property_resolver({"Fn::Join": ["", list_of_objects]}, True) @parameterized.expand( [ ("Fn::Join should require that all items in the list_of_objects resolve to string: {}".format(item), item) for item in [True, False, {}, 42, None] ] ) def test_fn_join_items_all_str(self, name, single_obj): with self.assertRaises(InvalidIntrinsicException, msg=name): self.resolver.intrinsic_property_resolver({"Fn::Join": ["", ["test", single_obj, "abcd"]]}, True) class TestIntrinsicFnSplitResolver(TestCase): def setUp(self): self.resolver = IntrinsicResolver(template={}, symbol_resolver=IntrinsicsSymbolTable()) def test_basic_fn_split(self): intrinsic = {"Fn::Split": ["|", "a|b|c"]} result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertEqual(result, ["a", "b", "c"]) def test_nested_fn_split(self): intrinsic_base_1 = {"Fn::Split": [";", {"Fn::Join": [";", ["a", "b", "c"]]}]} intrinsic_base_2 = {"Fn::Join": [",", intrinsic_base_1]} intrinsic = {"Fn::Split": [",", {"Fn::Join": [",", [intrinsic_base_2, ",e", ",f,", intrinsic_base_2]]}]} result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertEqual(result, ["a", "b", "c", "", "e", "", "f", "", "a", "b", "c"]) @parameterized.expand( [ ("Fn::Split should fail for values that are not lists: {}".format(item), item) for item in [True, False, "Test", {}, 42] ] ) def test_fn_split_arguments_invalid_formats(self, name, intrinsic): with self.assertRaises(InvalidIntrinsicException, msg=name): self.resolver.intrinsic_property_resolver({"Fn::Split": intrinsic}, True) @parameterized.expand( [ ("Fn::Split should fail if the first argument does not resolve to a string: {}".format(item), item) for item in [True, False, {}, 42] ] ) def test_fn_split_delimiter_invalid_type(self, name, delimiter): with self.assertRaises(InvalidIntrinsicException, msg=name): self.resolver.intrinsic_property_resolver({"Fn::Split": [delimiter, []]}, True) @parameterized.expand( [ ("Fn::Split should fail if the second argument does not resolve to a string: {}".format(item), item) for item in [True, False, {}, 42] ] ) def test_fn_split_source_string_invalid_type(self, name, source_string): with self.assertRaises(InvalidIntrinsicException, msg=name): self.resolver.intrinsic_property_resolver({"Fn::Split": ["", source_string]}, True) class TestIntrinsicFnBase64Resolver(TestCase): def setUp(self): self.resolver = IntrinsicResolver(template={}, symbol_resolver=IntrinsicsSymbolTable()) def test_basic_fn_split(self): intrinsic = {"Fn::Base64": "AWS CloudFormation"} result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertEqual(result, "QVdTIENsb3VkRm9ybWF0aW9u") def test_nested_fn_base64(self): intrinsic_base_1 = {"Fn::Base64": "AWS CloudFormation"} intrinsic_base_2 = {"Fn::Base64": intrinsic_base_1} intrinsic = {"Fn::Base64": {"Fn::Join": [",", [intrinsic_base_2, ",e", ",f,", intrinsic_base_2]]}} result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertEqual( result, "VVZaa1ZFbEZUbk5pTTFaclVtMDVlV0pYUmpCaFZ6bDEsLGUsLGYsLFVWWmtWRWxGVG5OaU0xWnJ" "VbTA1ZVdKWFJqQmhWemwx", ) @parameterized.expand( [ ("Fn::Base64 must have a value that resolves to a string: {}".format(item), item) for item in [True, False, {}, 42, None] ] ) def test_fn_base64_arguments_invalid_formats(self, name, intrinsic): with self.assertRaises(InvalidIntrinsicException, msg=name): self.resolver.intrinsic_property_resolver({"Fn::Base64": intrinsic}, True) class TestIntrinsicFnSelectResolver(TestCase): def setUp(self): self.resolver = IntrinsicResolver(template={}, symbol_resolver=IntrinsicsSymbolTable()) def test_basic_fn_select(self): intrinsic = {"Fn::Select": [2, ["a", "b", "c", "d"]]} result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertEqual(result, "c") def test_nested_fn_select(self): intrinsic_base_1 = {"Fn::Select": [0, ["a", "b", "c", "d"]]} intrinsic_base_2 = {"Fn::Join": [";", ["g", "h", "i", intrinsic_base_1]]} intrinsic = {"Fn::Select": [3, [intrinsic_base_2, "e", "f", intrinsic_base_2]]} result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertEqual(result, "g;h;i;a") @parameterized.expand( [ ("Fn::Select should fail for values that are not lists: {}".format(item), item) for item in [True, False, "Test", {}, 42, None] ] ) def test_fn_select_arguments_invalid_formats(self, name, intrinsic): with self.assertRaises(InvalidIntrinsicException, msg=name): self.resolver.intrinsic_property_resolver({"Fn::Select": intrinsic}, True) @parameterized.expand( [ ("Fn::Select should fail if the first argument does not resolve to a int: {}".format(item), item) for item in [True, False, {}, "3", None] ] ) def test_fn_select_index_invalid_index_type(self, name, index): with self.assertRaises(InvalidIntrinsicException, msg=name): self.resolver.intrinsic_property_resolver({"Fn::Select": [index, [0]]}, True) @parameterized.expand( [("Fn::Select should fail if the index is out of bounds: {}".format(number), number) for number in [-2, 7]] ) def test_fn_select_out_of_bounds(self, name, index): with self.assertRaises(InvalidIntrinsicException, msg=name): self.resolver.intrinsic_property_resolver({"Fn::Select": [index, []]}, True) @parameterized.expand( [ ("Fn::Select should fail if the second argument does not resolve to a list: {}".format(item), item) for item in [True, False, {}, "3", 33, None] ] ) def test_fn_select_second_argument_invalid_type(self, name, argument): with self.assertRaises(InvalidIntrinsicException, msg=name): self.resolver.intrinsic_property_resolver({"Fn::Select": [0, argument]}, True) class TestIntrinsicFnFindInMapResolver(TestCase): def setUp(self): template = { "Mappings": { "Basic": {"Test": {"key": "value"}}, "value": {"anotherkey": {"key": "result"}}, "result": {"value": {"key": "final"}}, } } self.resolver = IntrinsicResolver(symbol_resolver=IntrinsicsSymbolTable(), template=template) def test_basic_find_in_map(self): intrinsic = {"Fn::FindInMap": ["Basic", "Test", "key"]} result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertEqual(result, "value") def test_nested_find_in_map(self): intrinsic_base_1 = {"Fn::FindInMap": ["Basic", "Test", "key"]} intrinsic_base_2 = {"Fn::FindInMap": [intrinsic_base_1, "anotherkey", "key"]} intrinsic = {"Fn::FindInMap": [intrinsic_base_2, intrinsic_base_1, "key"]} result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertEqual(result, "final") @parameterized.expand( [ ("Fn::FindInMap should fail if the list does not resolve to a string: {}".format(item), item) for item in [True, False, "Test", {}, 42, None] ] ) def test_fn_find_in_map_arguments_invalid_formats(self, name, intrinsic): with self.assertRaises(InvalidIntrinsicException, msg=name): self.resolver.intrinsic_property_resolver({"Fn::FindInMap": intrinsic}, True) @parameterized.expand( [ ("Fn::FindInMap should fail if there isn't 3 arguments in the list: {}".format(item), item) for item in [[""] * i for i in [0, 1, 2, 4, 5, 6, 7, 8, 9, 10]] ] ) def test_fn_find_in_map_invalid_number_arguments(self, name, intrinsic): with self.assertRaises(InvalidIntrinsicException, msg=name): self.resolver.intrinsic_property_resolver({"Fn::FindInMap": intrinsic}, True) @parameterized.expand( [ ("The arguments in Fn::FindInMap must fail if the arguments are not in the mappings".format(item), item) for item in [ ["<UNKOWN_VALUE>", "Test", "key"], ["Basic", "<UNKOWN_VALUE>", "key"], ["Basic", "Test", "<UNKOWN_VALUE>"], ] ] ) def test_fn_find_in_map_invalid_key_entries(self, name, intrinsic): with self.assertRaises(InvalidIntrinsicException, msg=name): self.resolver.intrinsic_property_resolver({"Fn::FindInMap": intrinsic}, True) class TestIntrinsicFnAzsResolver(TestCase): def setUp(self): logical_id_translator = {"AWS::Region": "us-east-1"} self.resolver = IntrinsicResolver( template={}, symbol_resolver=IntrinsicsSymbolTable(logical_id_translator=logical_id_translator) ) def test_basic_azs(self): intrinsic = {"Ref": "AWS::Region"} result = self.resolver.intrinsic_property_resolver({"Fn::GetAZs": intrinsic}, True) self.assertEqual(result, ["us-east-1a", "us-east-1b", "us-east-1c", "us-east-1d", "us-east-1e", "us-east-1f"]) def test_default_get_azs(self): result = self.resolver.intrinsic_property_resolver({"Fn::GetAZs": ""}, True) self.assertEqual(result, ["us-east-1a", "us-east-1b", "us-east-1c", "us-east-1d", "us-east-1e", "us-east-1f"]) @parameterized.expand( [ ("Fn::GetAZs should fail if it not given a string type".format(item), item) for item in [True, False, {}, 42, None] ] ) def test_fn_azs_arguments_invalid_formats(self, name, intrinsic): with self.assertRaises(InvalidIntrinsicException, msg=name): self.resolver.intrinsic_property_resolver({"Fn::GetAZs": intrinsic}, True) def test_fn_azs_invalid_region(self): intrinsic = "UNKOWN REGION" with self.assertRaises(InvalidIntrinsicException, msg="FN::GetAzs should fail for unknown region"): self.resolver.intrinsic_property_resolver({"Fn::GetAZs": intrinsic}, True) class TestFnTransform(TestCase): def setUp(self): logical_id_translator = {"AWS::Region": "us-east-1"} self.resolver = IntrinsicResolver( template={}, symbol_resolver=IntrinsicsSymbolTable(logical_id_translator=logical_id_translator) ) @patch("samcli.lib.intrinsic_resolver.intrinsic_property_resolver.get_template_data") def test_basic_fn_transform(self, get_template_data_patch): intrinsic = {"Fn::Transform": {"Name": "AWS::Include", "Parameters": {"Location": "test"}}} get_template_data_patch.return_value = {"data": "test"} self.resolver.intrinsic_property_resolver(intrinsic, True) get_template_data_patch.assert_called_once_with("test") def test_fn_transform_unsupported_macro(self): intrinsic = {"Fn::Transform": {"Name": "UNKNOWN", "Parameters": {"Location": "test"}}} with self.assertRaises(InvalidIntrinsicException, msg="FN::Transform should fail for unknown region"): self.resolver.intrinsic_property_resolver(intrinsic, True) class TestIntrinsicFnRefResolver(TestCase): def setUp(self): logical_id_translator = {"RestApi": {"Ref": "NewRestApi"}, "AWS::StackId": "12301230123"} resources = {"RestApi": {"Type": "AWS::ApiGateway::RestApi", "Properties": {}}} template = {"Resources": resources} self.resolver = IntrinsicResolver( symbol_resolver=IntrinsicsSymbolTable(logical_id_translator=logical_id_translator, template=template), template=template, ) def test_basic_ref_translation(self): intrinsic = {"Ref": "RestApi"} result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertEqual(result, "NewRestApi") def test_default_ref_translation(self): intrinsic = {"Ref": "UnknownApi"} result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertEqual(result, "UnknownApi") @parameterized.expand( [ ("Ref must have arguments that resolve to a string: {}".format(item), item) for item in [True, False, {}, 42, None, []] ] ) def test_ref_arguments_invalid_formats(self, name, intrinsic): with self.assertRaises(InvalidIntrinsicException, msg=name): self.resolver.intrinsic_property_resolver({"Ref": intrinsic}, True) class TestIntrinsicFnGetAttResolver(TestCase): def setUp(self): logical_id_translator = { "RestApi": {"Ref": "NewRestApi"}, "LambdaFunction": { "Arn": "arn:aws:apigateway:us-east-1:lambda:path/2015-03-31/functions/arn:aws:lambda:us-east" "-1:123456789012:LambdaFunction/invocations" }, "AWS::StackId": "12301230123", "AWS::Region": "us-east-1", "AWS::AccountId": "406033500479", } resources = { "RestApi": {"Type": "AWS::ApiGateway::RestApi", "Properties": {}}, "HelloHandler2E4FBA4D": {"Type": "AWS::Lambda::Function", "Properties": {"handler": "main.handle"}}, "LambdaFunction": { "Type": "AWS::Lambda::Function", "Properties": { "Uri": { "Fn::Join": [ "", [ "arn:", {"Ref": "AWS::Partition"}, ":apigateway:", {"Ref": "AWS::Region"}, ":lambda:path/2015-03-31/functions/", {"Fn::GetAtt": ["HelloHandler2E4FBA4D", "Arn"]}, "/invocations", ], ] } }, }, "LambdaFunctionWithFunctionName": { "Type": "AWS::Lambda::Function", "Properties": {"FunctionName": "lambda-function-with-function-name", "handler": "main.handle"}, }, "ReferencingLambdaFunctionWithFunctionName": { "Type": "AWS::Lambda::Function", "Properties": {"Uri": {"Fn::GetAtt": ["LambdaFunctionWithFunctionName", "Arn"]}}, }, } template = {"Resources": resources} symbol_resolver = IntrinsicsSymbolTable(template=template, logical_id_translator=logical_id_translator) self.resources = resources self.resolver = IntrinsicResolver(template=template, symbol_resolver=symbol_resolver) def test_fn_getatt_basic_translation(self): intrinsic = {"Fn::GetAtt": ["RestApi", "RootResourceId"]} result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertEqual(result, "/") def test_fn_getatt_logical_id_translated(self): intrinsic = {"Fn::GetAtt": ["LambdaFunction", "Arn"]} result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertEqual( result, "arn:aws:apigateway:us-east-1:lambda:path/2015-03-31/functions/arn:aws:lambda:us-east" "-1:123456789012:LambdaFunction/invocations", ) def test_fn_getatt_with_fn_join(self): intrinsic = self.resources.get("LambdaFunction").get("Properties").get("Uri") result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertEqual( result, "arn:aws:apigateway:us-east-1:lambda:path/2015-03-31/functions/arn:aws:lambda:us" "-east-1:406033500479:function:HelloHandler2E4FBA4D/invocations", ) def test_fn_getatt_with_lambda_function_with_function_name(self): intrinsic = self.resources.get("ReferencingLambdaFunctionWithFunctionName").get("Properties").get("Uri") result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertEqual(result, "arn:aws:lambda:us-east-1:406033500479:function:lambda-function-with-function-name") @parameterized.expand( [ ("Fn::GetAtt must fail if the argument does not resolve to a list: {}".format(item), item) for item in [True, False, {}, "test", 42, None] ] ) def test_fn_getatt_arguments_invalid_formats(self, name, intrinsic): with self.assertRaises(InvalidIntrinsicException, msg=name): self.resolver.intrinsic_property_resolver({"Fn::GetAtt": intrinsic}, True) @parameterized.expand( [ ("Fn::GetAtt should fail if it doesn't have exactly 2 arguments: {}".format(item), item) for item in [[""] * i for i in [0, 1, 3, 4, 5, 6, 7, 8, 9, 10]] ] ) def test_fn_getatt_invalid_number_arguments(self, name, intrinsic): with self.assertRaises(InvalidIntrinsicException, msg=name): self.resolver.intrinsic_property_resolver({"Fn::GetAtt": intrinsic}, True) @parameterized.expand( [ ("Fn::GetAtt first argument must resolve to a valid string: {}".format(item), item) for item in [True, False, {}, [], 42, None] ] ) def test_fn_getatt_first_arguments_invalid(self, name, intrinsic): with self.assertRaises(InvalidIntrinsicException, msg=name): self.resolver.intrinsic_property_resolver({"Fn::GetAtt": [intrinsic, IntrinsicResolver.REF]}, True) @parameterized.expand( [ ("Fn::GetAtt second argument must resolve to a string:{}".format(item), item) for item in [True, False, {}, [], 42, None] ] ) def test_fn_getatt_second_arguments_invalid(self, name, intrinsic): with self.assertRaises(InvalidIntrinsicException, msg=name): self.resolver.intrinsic_property_resolver({"Fn::GetAtt": ["some logical Id", intrinsic]}, True) class TestIntrinsicFnSubResolver(TestCase): def setUp(self): logical_id_translator = {"AWS::Region": "us-east-1", "AWS::AccountId": "123456789012"} resources = {"LambdaFunction": {"Type": "AWS::ApiGateway::RestApi", "Properties": {"Uri": "test"}}} template = {"Resources": resources} self.resolver = IntrinsicResolver( template=template, symbol_resolver=IntrinsicsSymbolTable(logical_id_translator=logical_id_translator, template=template), ) def test_fn_sub_basic_uri(self): intrinsic = { "Fn::Sub": "arn:aws:apigateway:${AWS::Region}:lambda:path/2015-03-31/functions/${LambdaFunction.Arn}/invocations" } result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertEqual( result, "arn:aws:apigateway:us-east-1:lambda:path/2015-03-31/functions/arn:aws:lambda:us-east-1" ":123456789012:function:LambdaFunction/invocations", ) def test_fn_sub_uri_arguments(self): intrinsic = { "Fn::Sub": [ "arn:aws:apigateway:${MyItem}:lambda:path/2015-03-31/functions/${MyOtherItem}/invocations", {"MyItem": {"Ref": "AWS::Region"}, "MyOtherItem": "LambdaFunction.Arn"}, ] } result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertEqual( result, "arn:aws:apigateway:us-east-1:lambda:path/2015-03-31/functions/arn:aws:lambda:us-east" "-1:123456789012:function:LambdaFunction/invocations", ) @parameterized.expand( [ ("Fn::Sub arguments must either resolve to a string or a list".format(item), item) for item in [True, False, {}, 42, None] ] ) def test_fn_sub_arguments_invalid_formats(self, name, intrinsic): with self.assertRaises(InvalidIntrinsicException, msg=name): self.resolver.intrinsic_property_resolver({"Fn::Sub": intrinsic}, True) @parameterized.expand( [ ("If Fn::Sub is a list, first argument must resolve to a string: {}".format(item), item) for item in [True, False, {}, 42, None] ] ) def test_fn_sub_first_argument_invalid_formats(self, name, intrinsic): with self.assertRaises(InvalidIntrinsicException, msg=name): self.resolver.intrinsic_property_resolver({"Fn::Sub": [intrinsic, {}]}, True) @parameterized.expand( [ ("If Fn::Sub is a list, second argument must resolve to a dictionary".format(item), item) for item in [True, False, "Another str", [], 42, None] ] ) def test_fn_sub_second_argument_invalid_formats(self, name, intrinsic): with self.assertRaises(InvalidIntrinsicException, msg=name): self.resolver.intrinsic_property_resolver({"Fn::Sub": ["some str", intrinsic]}, True) @parameterized.expand( [ ("If Fn::Sub is a list, it should only have 2 arguments".format(item), item) for item in [[""] * i for i in [0, 2, 3, 4, 5, 6, 7, 8, 9, 10]] ] ) def test_fn_sub_invalid_number_arguments(self, name, intrinsic): with self.assertRaises(InvalidIntrinsicException, msg=name): self.resolver.intrinsic_property_resolver({"Fn::Sub": ["test"] + intrinsic}, True) class TestIntrinsicFnImportValueResolver(TestCase): def setUp(self): self.resolver = IntrinsicResolver(template={}, symbol_resolver=IntrinsicsSymbolTable()) def test_fn_import_value_unsupported(self): with self.assertRaises(InvalidIntrinsicException, msg="Fn::ImportValue should be unsupported"): self.resolver.intrinsic_property_resolver({"Fn::ImportValue": ""}, True) class TestIntrinsicFnEqualsResolver(TestCase): def setUp(self): logical_id_translator = {"EnvironmentType": "prod", "AWS::AccountId": "123456789012"} self.resolver = IntrinsicResolver( template={}, symbol_resolver=IntrinsicsSymbolTable(logical_id_translator=logical_id_translator) ) def test_fn_equals_basic_true(self): intrinsic = {"Fn::Equals": [{"Ref": "EnvironmentType"}, "prod"]} result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertTrue(result) def test_fn_equals_basic_false(self): intrinsic = {"Fn::Equals": [{"Ref": "EnvironmentType"}, "NotProd"]} result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertFalse(result) def test_fn_equals_nested_true(self): intrinsic_base_1 = {"Fn::Equals": [{"Ref": "EnvironmentType"}, "prod"]} intrinsic_base_2 = {"Fn::Equals": [{"Ref": "AWS::AccountId"}, "123456789012"]} intrinsic = {"Fn::Equals": [intrinsic_base_1, intrinsic_base_2]} result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertTrue(result) def test_fn_equals_nested_false(self): intrinsic_base_1 = {"Fn::Equals": [{"Ref": "EnvironmentType"}, "prod"]} intrinsic_base_2 = {"Fn::Equals": [{"Ref": "AWS::AccountId"}, "NOT_A_VALID_ACCOUNT_ID"]} intrinsic = {"Fn::Equals": [intrinsic_base_1, intrinsic_base_2]} result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertFalse(result) @parameterized.expand( [ ("Fn::Equals must have arguments that resolve to a string: {}".format(item), item) for item in [True, False, {}, 42, None, "test"] ] ) def test_fn_equals_arguments_invalid_formats(self, name, intrinsic): with self.assertRaises(InvalidIntrinsicException, msg=name): self.resolver.intrinsic_property_resolver({"Fn::Equals": intrinsic}, True) @parameterized.expand( [ ("Fn::Equals must have exactly two arguments: {}".format(item), item) for item in [["t"] * i for i in [0, 1, 3, 4, 5, 6, 7, 8, 9, 10]] ] ) def test_fn_equals_invalid_number_arguments(self, name, intrinsic): with self.assertRaises(InvalidIntrinsicException, msg=name): self.resolver.intrinsic_property_resolver({"Fn::Equals": intrinsic}, True) class TestIntrinsicFnNotResolver(TestCase): def setUp(self): logical_id_translator = {"EnvironmentType": "prod", "AWS::AccountId": "123456789012"} conditions = { "TestCondition": {"Fn::Equals": [{"Ref": "EnvironmentType"}, "prod"]}, "NotTestCondition": {"Fn::Not": [{"Condition": "TestCondition"}]}, } template = {"Conditions": conditions} symbol_resolver = IntrinsicsSymbolTable(template=template, logical_id_translator=logical_id_translator) self.resolver = IntrinsicResolver(template=template, symbol_resolver=symbol_resolver) def test_fn_not_basic_false(self): intrinsic = {"Fn::Not": [{"Fn::Equals": [{"Ref": "EnvironmentType"}, "prod"]}]} result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertFalse(result) def test_fn_not_basic_true(self): intrinsic = {"Fn::Not": [{"Fn::Equals": [{"Ref": "EnvironmentType"}, "NotProd"]}]} result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertTrue(result) def test_fn_not_nested_true(self): intrinsic_base_1 = {"Fn::Not": [{"Fn::Equals": [{"Ref": "EnvironmentType"}, "prod"]}]} intrinsic_base_2 = {"Fn::Equals": [{"Ref": "AWS::AccountId"}, "123456789012"]} # !(True && True) intrinsic = {"Fn::Not": [{"Fn::Equals": [intrinsic_base_1, intrinsic_base_2]}]} result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertTrue(result) def test_fn_not_nested_false(self): intrinsic_base_1 = {"Fn::Not": [{"Fn::Equals": [{"Ref": "EnvironmentType"}, "prod"]}]} intrinsic_base_2 = {"Fn::Not": [{"Fn::Equals": [{"Ref": "AWS::AccountId"}, "123456789012"]}]} intrinsic = {"Fn::Not": [{"Fn::Equals": [intrinsic_base_1, intrinsic_base_2]}]} result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertFalse(result) def test_fn_not_condition_false(self): intrinsic = {"Fn::Not": [{"Condition": "TestCondition"}]} result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertFalse(result) def test_fn_not_condition_true(self): intrinsic = {"Fn::Not": [{"Condition": "NotTestCondition"}]} result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertTrue(result) @parameterized.expand( [ ("Fn::Not must have an argument that resolves to a list: {}".format(item), item) for item in [True, False, {}, 42, None, "test"] ] ) def test_fn_not_arguments_invalid_formats(self, name, intrinsic): with self.assertRaises(InvalidIntrinsicException, msg=name): self.resolver.intrinsic_property_resolver({"Fn::Not": intrinsic}, True) @parameterized.expand( [ ("Fn::Not items in the list must resolve to booleans: {}".format(item), item) for item in [{}, 42, None, "test"] ] ) def test_fn_not_first_arguments_invalid_formats(self, name, intrinsic): with self.assertRaises(InvalidIntrinsicException, msg=name): self.resolver.intrinsic_property_resolver({"Fn::Not": [intrinsic]}, True) @parameterized.expand( [ ("Fn::Not must have exactly 1 argument: {}".format(item), item) for item in [[True] * i for i in [0, 2, 3, 4, 5, 6, 7, 8, 9, 10]] ] ) def test_fn_not_invalid_number_arguments(self, name, intrinsic): with self.assertRaises(InvalidIntrinsicException, msg=name): self.resolver.intrinsic_property_resolver({"Fn::Not": intrinsic}, True) def test_fn_not_invalid_condition(self): with self.assertRaises(InvalidIntrinsicException, msg="Invalid Condition"): self.resolver.intrinsic_property_resolver({"Fn::Not": [{"Condition": "NOT_VALID_CONDITION"}]}, True) class TestIntrinsicFnAndResolver(TestCase): def setUp(self): logical_id_translator = {"EnvironmentType": "prod", "AWS::AccountId": "123456789012"} conditions = { "TestCondition": {"Fn::Equals": [{"Ref": "EnvironmentType"}, "prod"]}, "NotTestCondition": {"Fn::Not": [{"Condition": "TestCondition"}]}, } template = {"Conditions": conditions} symbol_resolver = IntrinsicsSymbolTable(template=template, logical_id_translator=logical_id_translator) self.resolver = IntrinsicResolver(template=template, symbol_resolver=symbol_resolver) def test_fn_and_basic_true(self): prod_fn_equals = {"Fn::Equals": [{"Ref": "EnvironmentType"}, "prod"]} intrinsic = {"Fn::And": [prod_fn_equals, {"Condition": "TestCondition"}, prod_fn_equals]} result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertTrue(result) def test_fn_and_basic_false(self): prod_fn_equals = {"Fn::Equals": [{"Ref": "EnvironmentType"}, "prod"]} intrinsic = {"Fn::And": [prod_fn_equals, {"Condition": "NotTestCondition"}, prod_fn_equals]} result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertFalse(result) def test_fn_and_nested_true(self): prod_fn_equals = {"Fn::Equals": [{"Ref": "EnvironmentType"}, "prod"]} intrinsic_base = {"Fn::And": [prod_fn_equals, {"Condition": "TestCondition"}, prod_fn_equals]} fn_not_intrinsic = {"Fn::Not": [{"Condition": "NotTestCondition"}]} intrinsic = {"Fn::And": [intrinsic_base, fn_not_intrinsic, prod_fn_equals]} result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertTrue(result) def test_fn_and_nested_false(self): prod_fn_equals = {"Fn::Equals": [{"Ref": "EnvironmentType"}, "prod"]} prod_fn_not_equals = {"Fn::Equals": [{"Ref": "EnvironmentType"}, "NOT_EQUAL"]} intrinsic_base = {"Fn::And": [prod_fn_equals, {"Condition": "NotTestCondition"}, prod_fn_equals]} intrinsic = {"Fn::And": [{"Fn::Not": [intrinsic_base]}, prod_fn_not_equals]} result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertFalse(result) @parameterized.expand( [ ("Fn::And must have value that resolves to a list: {}".format(item), item) for item in [True, False, {}, 42, None, "test"] ] ) def test_fn_and_arguments_invalid_formats(self, name, intrinsic): with self.assertRaises(InvalidIntrinsicException, msg=name): self.resolver.intrinsic_property_resolver({"Fn::And": intrinsic}, True) @parameterized.expand( [ ("Fn:And must have all arguments that resolves to booleans".format(item), item) for item in [{}, 42, None, "test"] ] ) def test_fn_and_all_arguments_bool(self, name, intrinsic): with self.assertRaises(InvalidIntrinsicException, msg=name): self.resolver.intrinsic_property_resolver({"Fn::And": [intrinsic, intrinsic, intrinsic]}, True) def test_fn_and_invalid_condition(self): with self.assertRaises(InvalidIntrinsicException, msg="Invalid Condition"): self.resolver.intrinsic_property_resolver({"Fn::And": [{"Condition": "NOT_VALID_CONDITION"}]}, True) class TestIntrinsicFnOrResolver(TestCase): def setUp(self): logical_id_translator = {"EnvironmentType": "prod", "AWS::AccountId": "123456789012"} conditions = { "TestCondition": {"Fn::Equals": [{"Ref": "EnvironmentType"}, "prod"]}, "NotTestCondition": {"Fn::Not": [{"Condition": "TestCondition"}]}, } template = {"Conditions": conditions} symbol_resolver = IntrinsicsSymbolTable(template=template, logical_id_translator=logical_id_translator) self.resolver = IntrinsicResolver(template=template, symbol_resolver=symbol_resolver) def test_fn_or_basic_true(self): prod_fn_equals = {"Fn::Equals": [{"Ref": "EnvironmentType"}, "prod"]} intrinsic = {"Fn::Or": [prod_fn_equals, {"Condition": "TestCondition"}, prod_fn_equals]} result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertTrue(result) def test_fn_or_basic_single_true(self): intrinsic = {"Fn::Or": [False, False, {"Condition": "TestCondition"}, False]} result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertTrue(result) def test_fn_or_basic_false(self): prod_fn_equals = {"Fn::Equals": [{"Ref": "EnvironmentType"}, "prod"]} intrinsic = { "Fn::Or": [{"Fn::Not": [prod_fn_equals]}, {"Condition": "NotTestCondition"}, {"Fn::Not": [prod_fn_equals]}] } result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertFalse(result) def test_fn_or_nested_true(self): prod_fn_equals = {"Fn::Equals": [{"Ref": "EnvironmentType"}, "prod"]} failed_intrinsic_or = { "Fn::Or": [{"Fn::Not": [prod_fn_equals]}, {"Condition": "NotTestCondition"}, {"Fn::Not": [prod_fn_equals]}] } intrinsic_base = {"Fn::Or": [prod_fn_equals, {"Condition": "TestCondition"}, prod_fn_equals]} fn_not_intrinsic = {"Fn::Not": [{"Condition": "NotTestCondition"}]} intrinsic = {"Fn::Or": [failed_intrinsic_or, intrinsic_base, fn_not_intrinsic, fn_not_intrinsic]} result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertTrue(result) def test_fn_or_nested_false(self): prod_fn_equals = {"Fn::Equals": [{"Ref": "EnvironmentType"}, "prod"]} failed_intrinsic_or = { "Fn::Or": [{"Fn::Not": [prod_fn_equals]}, {"Condition": "NotTestCondition"}, {"Fn::Not": [prod_fn_equals]}] } intrinsic_base = {"Fn::Or": [prod_fn_equals, {"Condition": "TestCondition"}, prod_fn_equals]} intrinsic = {"Fn::Or": [failed_intrinsic_or, {"Fn::Not": [intrinsic_base]}]} result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertFalse(result) @parameterized.expand( [ ("Fn::Or must have an argument that resolves to a list: {}".format(item), item) for item in [True, False, {}, 42, None, "test"] ] ) def test_fn_or_arguments_invalid_formats(self, name, intrinsic): with self.assertRaises(InvalidIntrinsicException, msg=name): self.resolver.intrinsic_property_resolver({"Fn::Or": intrinsic}, True) @parameterized.expand( [ ("Fn::Or must have all arguments resolve to booleans: {}".format(item), item) for item in [{}, 42, None, "test"] ] ) def test_fn_or_all_arguments_bool(self, name, intrinsic): with self.assertRaises(InvalidIntrinsicException, msg=name): self.resolver.intrinsic_property_resolver({"Fn::Or": [intrinsic, intrinsic, intrinsic]}, True) def test_fn_or_invalid_condition(self): with self.assertRaises(InvalidIntrinsicException, msg="Invalid Condition"): self.resolver.intrinsic_property_resolver({"Fn::Or": [{"Condition": "NOT_VALID_CONDITION"}]}, True) class TestIntrinsicFnIfResolver(TestCase): def setUp(self): logical_id_translator = {"EnvironmentType": "prod", "AWS::AccountId": "123456789012"} conditions = { "TestCondition": {"Fn::Equals": [{"Ref": "EnvironmentType"}, "prod"]}, "NotTestCondition": {"Fn::Not": [{"Condition": "TestCondition"}]}, "InvalidCondition": ["random items"], } template = {"Conditions": conditions} symbol_resolver = IntrinsicsSymbolTable(template=template, logical_id_translator=logical_id_translator) self.resolver = IntrinsicResolver(template=template, symbol_resolver=symbol_resolver) def test_fn_if_basic_true(self): intrinsic = {"Fn::If": ["TestCondition", True, False]} result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertTrue(result) def test_fn_if_basic_false(self): intrinsic = {"Fn::If": ["NotTestCondition", True, False]} result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertFalse(result) def test_nested_fn_if_true(self): intrinsic_base_1 = {"Fn::If": ["NotTestCondition", True, False]} intrinsic_base_2 = {"Fn::If": ["TestCondition", True, False]} intrinsic = {"Fn::If": ["TestCondition", intrinsic_base_2, intrinsic_base_1]} result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertTrue(result) def test_nested_fn_if_false(self): intrinsic_base_1 = {"Fn::If": ["NotTestCondition", True, False]} intrinsic_base_2 = {"Fn::If": ["TestCondition", True, False]} intrinsic = {"Fn::If": ["TestCondition", intrinsic_base_1, intrinsic_base_2]} result = self.resolver.intrinsic_property_resolver(intrinsic, True) self.assertFalse(result) @parameterized.expand( [ ("Fn::If must an argument that resolves to a list: {}".format(item), item) for item in [True, False, {}, 42, None, "test"] ] ) def test_fn_if_arguments_invalid_formats(self, name, intrinsic): with self.assertRaises(InvalidIntrinsicException, msg=name): self.resolver.intrinsic_property_resolver({"Fn::If": intrinsic}, True) @parameterized.expand( [ ("Fn::If must have the argument resolve to a string: {}".format(item), item) for item in [True, False, {}, 42, None, "test", []] ] ) def test_fn_if_condition_arguments_invalid_type(self, name, intrinsic): with self.assertRaises(InvalidIntrinsicException, msg=name): self.resolver.intrinsic_property_resolver({"Fn::If": [intrinsic, True, False]}, True) def test_fn_if_invalid_condition(self): with self.assertRaises(InvalidIntrinsicException, msg="Invalid Condition"): self.resolver.intrinsic_property_resolver({"Fn::If": ["NOT_VALID_CONDITION", "test", "test"]}, True) @parameterized.expand( [ ("Fn::If must have exactly 3 arguments: {}".format(item), item) for item in [[True] * i for i in [0, 1, 3, 4, 5, 6, 7, 8, 9, 10]] ] ) def test_fn_if_invalid_number_arguments(self, name, intrinsic): with self.assertRaises(InvalidIntrinsicException, msg=name): self.resolver.intrinsic_property_resolver({"Fn::Not": ["TestCondition"] + intrinsic}, True) def test_fn_if_condition_not_bool_fail(self): with self.assertRaises(InvalidIntrinsicException, msg="Invalid Condition"): self.resolver.intrinsic_property_resolver({"Fn::If": ["InvalidCondition", "test", "test"]}, True) class TestIntrinsicAttribteResolution(TestCase): def setUp(self): self.maxDiff = None logical_id_translator = { "RestApi": "NewRestApi", "LambdaFunction": { "Arn": "arn:aws:apigateway:us-east-1:lambda:path/2015-03-31/functions/arn:aws:lambda:us-east" "-1:123456789012:LambdaFunction/invocations" }, "AWS::StackId": "12301230123", "AWS::Region": "us-east-1", "AWS::AccountId": "406033500479", "RestApi.Deployment": {"Ref": "RestApi"}, } self.logical_id_translator = logical_id_translator integration_path = str( Path(__file__).resolve().parents[0].joinpath("test_data", "inputs/test_intrinsic_template_resolution.json") ) with open(integration_path) as f: template = json.load(f) self.template = template self.resources = template.get("Resources") self.conditions = template.get("Conditions") self.mappings = template.get("Mappings") symbol_resolver = IntrinsicsSymbolTable( template=self.template, logical_id_translator=self.logical_id_translator ) self.resolver = IntrinsicResolver(template=self.template, symbol_resolver=symbol_resolver) def test_basic_attribte_resolution(self): resolved_template = self.resolver.resolve_attribute(self.resources, ignore_errors=False) expected_resources = { "HelloHandler2E4FBA4D": {"Properties": {"handler": "main.handle"}, "Type": "AWS::Lambda::Function"}, "LambdaFunction": { "Properties": { "Uri": "arn:aws:apigateway:us-east-1a:lambda:path/2015-03-31/functions/arn:aws" ":lambda:us-east-1:406033500479:function:HelloHandler2E4FBA4D/invocations" }, "Type": "AWS::Lambda::Function", }, "ReferenceLambdaLayerVersionLambdaFunction": { "Properties": { "Handler": "layer-main.custom_layer_handler", "Runtime": "python3.6", "CodeUri": ".", "Layers": [{"Ref": "MyCustomLambdaLayer"}], }, "Type": "AWS::Serverless::Function", }, "MyCustomLambdaLayer": {"Type": "AWS::Lambda::LayerVersion", "Properties": {"Content": "custom_layer/"}}, "RestApi": { "Properties": {"Body": "YTtlO2Y7ZA==", "BodyS3Location": "https://s3location/"}, "Type": "AWS::ApiGateway::RestApi", }, "RestApiResource": {"Properties": {"PathPart": "{proxy+}", "RestApiId": "RestApi", "parentId": "/"}}, } self.assertEqual(dict(resolved_template), expected_resources) def test_template_fail_errors(self): resources = deepcopy(self.resources) resources["RestApi.Deployment"]["Properties"]["BodyS3Location"] = {"Fn::FindInMap": []} template = {"Mappings": self.mappings, "Conditions": self.conditions, "Resources": resources} symbol_resolver = IntrinsicsSymbolTable(template=template, logical_id_translator=self.logical_id_translator) resolver = IntrinsicResolver(template=template, symbol_resolver=symbol_resolver) with self.assertRaises(InvalidIntrinsicException, msg="Invalid Find In Map"): resolver.resolve_attribute(resources, ignore_errors=False) def test_template_ignore_errors(self): resources = deepcopy(self.resources) resources["RestApi.Deployment"]["Properties"]["BodyS3Location"] = {"Fn::FindInMap": []} template = {"Mappings": self.mappings, "Conditions": self.conditions, "Resources": resources} symbol_resolver = IntrinsicsSymbolTable(template=template, logical_id_translator=self.logical_id_translator) resolver = IntrinsicResolver(template=template, symbol_resolver=symbol_resolver) result = resolver.resolve_attribute(resources, ignore_errors=True) expected_template = { "HelloHandler2E4FBA4D": {"Properties": {"handler": "main.handle"}, "Type": "AWS::Lambda::Function"}, "ReferenceLambdaLayerVersionLambdaFunction": { "Properties": { "Handler": "layer-main.custom_layer_handler", "Runtime": "python3.6", "CodeUri": ".", "Layers": [{"Ref": "MyCustomLambdaLayer"}], }, "Type": "AWS::Serverless::Function", }, "MyCustomLambdaLayer": {"Type": "AWS::Lambda::LayerVersion", "Properties": {"Content": "custom_layer/"}}, "LambdaFunction": { "Properties": { "Uri": "arn:aws:apigateway:us-east-1a:lambda:path/2015-03-31" "/functions/arn:aws:lambda:us-east-1:406033500479" ":function:HelloHandler2E4FBA4D/invocations" }, "Type": "AWS::Lambda::Function", }, "RestApi": { "Properties": {"Body": "YTtlO2Y7ZA==", "BodyS3Location": {"Fn::FindInMap": []}}, "Type": "AWS::ApiGateway::RestApi", }, "RestApiResource": {"Properties": {"PathPart": "{proxy+}", "RestApiId": "RestApi", "parentId": "/"}}, } self.assertEqual(expected_template, dict(result)) class TestResolveTemplate(TestCase): def test_parameter_not_resolved(self): template = { "Parameters": {"TestStageName": {"Default": "test", "Type": "string"}}, "Resources": { "Test": {"Type": "AWS::ApiGateway::RestApi", "Parameters": {"StageName": {"Ref": "TestStageName"}}} }, } expected_template = { "Parameters": {"TestStageName": {"Default": "test", "Type": "string"}}, "Resources": OrderedDict( {"Test": {"Type": "AWS::ApiGateway::RestApi", "Parameters": {"StageName": "test"}}} ), } symbol_resolver = IntrinsicsSymbolTable(template=template, logical_id_translator={}) resolver = IntrinsicResolver(template=template, symbol_resolver=symbol_resolver) self.assertEqual(resolver.resolve_template(), expected_template) def test_mappings_directory_resolved(self): template = { "Mappings": {"TestStageName": {"TestKey": {"key": "StageName"}}}, "Resources": { "Test": { "Type": "AWS::ApiGateway::RestApi", "Parameters": {"StageName": {"Fn::FindInMap": ["TestStageName", "TestKey", "key"]}}, } }, } expected_template = { "Mappings": {"TestStageName": {"TestKey": {"key": "StageName"}}}, "Resources": OrderedDict( {"Test": {"Type": "AWS::ApiGateway::RestApi", "Parameters": {"StageName": "StageName"}}} ), } symbol_resolver = IntrinsicsSymbolTable(template=template, logical_id_translator={}) resolver = IntrinsicResolver(template=template, symbol_resolver=symbol_resolver) self.assertEqual(resolver.resolve_template(), expected_template) def test_output_resolved(self): template = { "Parameters": {"StageRef": {"Default": "StageName"}}, "Outputs": {"TestStageName": {"Ref": "Test"}, "ParameterRef": {"Ref": "StageRef"}}, "Resources": { "Test": {"Type": "AWS::ApiGateway::RestApi", "Parameters": {"StageName": {"Ref": "StageRef"}}} }, } expected_template = { "Parameters": {"StageRef": {"Default": "StageName"}}, "Resources": OrderedDict( {"Test": {"Type": "AWS::ApiGateway::RestApi", "Parameters": {"StageName": "StageName"}}} ), "Outputs": OrderedDict({"TestStageName": "Test", "ParameterRef": "StageName"}), } symbol_resolver = IntrinsicsSymbolTable(template=template, logical_id_translator={}) resolver = IntrinsicResolver(template=template, symbol_resolver=symbol_resolver) self.assertEqual(resolver.resolve_template(), expected_template) def load_test_data(self, template_path): integration_path = str(Path(__file__).resolve().parents[0].joinpath("test_data", template_path)) with open(integration_path) as f: template = json.load(f) return template @parameterized.expand( [ ( "inputs/test_intrinsic_template_resolution.json", "outputs/output_test_intrinsic_template_resolution.json", ), ("inputs/test_layers_resolution.json", "outputs/outputs_test_layers_resolution.json"), ("inputs/test_methods_resource_resolution.json", "outputs/outputs_methods_resource_resolution.json"), ] ) def test_intrinsic_sample_inputs_outputs(self, input, output): input_template = self.load_test_data(input) symbol_resolver = IntrinsicsSymbolTable(template=input_template, logical_id_translator={}) resolver = IntrinsicResolver(template=input_template, symbol_resolver=symbol_resolver) processed_template = resolver.resolve_template() processed_template = json.loads(json.dumps(processed_template)) # Removes formatting of ordered dicts expected_template = self.load_test_data(output) self.assertEqual(processed_template, expected_template) class TestIntrinsicResolverInitialization(TestCase): def test_conditional_key_function_map(self): resolver = IntrinsicResolver(None, None) def lambda_func(x): return True resolver.set_conditional_function_map({"key": lambda_func}) self.assertTrue(resolver.conditional_key_function_map.get("key") == lambda_func) def test_set_intrinsic_key_function_map(self): resolver = IntrinsicResolver(None, None) def lambda_func(x): return True resolver.set_intrinsic_key_function_map({"key": lambda_func}) self.assertTrue(resolver.intrinsic_key_function_map.get("key") == lambda_func)

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0.631751

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52,269

5.914259

0.058333

0.07186

0.071234

0.094029

0.830573

0.778877

0.737765

0.705514

0.687228

0.663995

0

0.015965

0.227056

52,269

1,117

126

46.794091

0.774535

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0

null

0

1

0

1

0

null

0

5

188f5877214204458c4960d2deaa543d5d4bccd2

57

py

Python

scr/agents/__init__.py

whklwhkl/KCFpy

308344d78415150fc16e69d23cb3432d565f23a2

[ "MIT" ]

null

scr/agents/__init__.py

whklwhkl/KCFpy

308344d78415150fc16e69d23cb3432d565f23a2

[ "MIT" ]

null

scr/agents/__init__.py

whklwhkl/KCFpy

308344d78415150fc16e69d23cb3432d565f23a2

[ "MIT" ]

null

from .agent import Agent from .person import PersonAgent

19

31

0.824561

8

57

5.875

0.625

0

0.140351

57

2

32

28.5

0.959184

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0

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0

1

0

null

0

1

0

1

0

1

0

5

18cf43133bca6a19e7eb6554c1bc2a1c95293dd7

19

py

Python

cowait/version.py

backtick-se/cowa

760ddb3ded1b3995bc68f4b74cf28af0c094481f

[ "Apache-2.0" ]

51

2020-06-04T06:08:14.000Z

2022-03-28T06:59:53.000Z

cowait/version.py

backtick-se/cowa

760ddb3ded1b3995bc68f4b74cf28af0c094481f

[ "Apache-2.0" ]

121

2020-06-01T12:09:32.000Z

2022-03-31T20:47:57.000Z

cowait/version.py

backtick-se/cowa

760ddb3ded1b3995bc68f4b74cf28af0c094481f

[ "Apache-2.0" ]

6

2020-06-11T16:05:20.000Z

2022-03-23T06:30:17.000Z

version = "0.4.31"

9.5

18

0.578947

4

19

2.75

1

0

0.25

0.157895

19

1

19

0.4375

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0.315789

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

null

0

5

18d01c4415cf415bc6d2ca0e5eeebf987cd89e5a

47

py

Python

pyhtools.py

dmdhrumilmistry/network_scanner

36758fc938dfa6e4363830ad9f472acdf287aa51

[ "MIT" ]

50

2021-07-15T23:56:24.000Z

2022-03-09T11:20:46.000Z

pyhtools.py

dmdhrumilmistry/network_scanner

36758fc938dfa6e4363830ad9f472acdf287aa51

[ "MIT" ]

null

pyhtools.py

dmdhrumilmistry/network_scanner

36758fc938dfa6e4363830ad9f472acdf287aa51

[ "MIT" ]

18

2021-07-15T21:51:16.000Z

2022-02-24T18:32:53.000Z

import UI.functions as UI UI.banner() UI.run()

11.75

25

0.723404

9

47

3.777778

0.666667

0

0.12766

47

4

26

11.75

0.829268

0

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true

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null

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null

0

1

0

1

0

5

18e5d2bc79b49e34cb8a0869da32392bf453cd46

282

py

Python

finbyz_dashboard/finbyz_dashboard/dashboard_overrides/after_install.py

finbyz/finbyz_dashboard

9c58ab7bccf589bc010d0e5bf95b20cadd4d71f0

[ "MIT" ]

1

2021-11-19T05:27:11.000Z

finbyz_dashboard/finbyz_dashboard/dashboard_overrides/after_install.py

finbyz/finbyz_dashboard

9c58ab7bccf589bc010d0e5bf95b20cadd4d71f0

[ "MIT" ]

null

finbyz_dashboard/finbyz_dashboard/dashboard_overrides/after_install.py

finbyz/finbyz_dashboard

9c58ab7bccf589bc010d0e5bf95b20cadd4d71f0

[ "MIT" ]

2

2021-08-21T10:41:38.000Z

2021-11-19T05:27:13.000Z

import frappe @frappe.whitelist() def after_install(): from finbyz_dashboard.patches.property_setter.property_setter import execute execute() from finbyz_dashboard.finbyz_dashboard.dashboard_overrides.dashboard_utils import sync_dashboards sync_dashboards('finbyz_dashboard')

28.2

98

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34

282

6.794118

0.5

0.25974

0.164502

0

0.074468

282

9

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31.333333

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0

0.056738

0

1

0.142857

true

0

0.428571

0

0.571429

0

null

1

0

1

0

null

0

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0

1

0

1

0

5

18eeb73c9b602fde57854220520cbb4e4eac8841

64

py

Python

tests/test_nobreak.py

aroberge/nonstandard

b415e4b5360a44ee2e1927a2b5b45c4d74ca9803

[ "MIT" ]

2

2017-04-30T23:27:06.000Z

2017-05-01T18:30:54.000Z

tests/test_nobreak.py

aroberge/nonstandard

b415e4b5360a44ee2e1927a2b5b45c4d74ca9803

[ "MIT" ]

null

tests/test_nobreak.py

aroberge/nonstandard

b415e4b5360a44ee2e1927a2b5b45c4d74ca9803

[ "MIT" ]

null

from .common import nonstandard from .nobreak_testfile import *

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5

7a1d6a0abec56cbb25e8f4e00b4cd1509a7bc960

249

py

Python

python_fishc/14.1.py

iisdd/Courses

a47d202e0d7e1ba85a38c6fe3dd9619eceb1045c

[ "MIT" ]

1

2020-11-29T14:42:01.000Z

python_fishc/14.1.py

iisdd/Courses

a47d202e0d7e1ba85a38c6fe3dd9619eceb1045c

[ "MIT" ]

null

python_fishc/14.1.py

iisdd/Courses

a47d202e0d7e1ba85a38c6fe3dd9619eceb1045c

[ "MIT" ]

null

''' 1.据说只有智商高于150的鱼油才能解开这个字符串（还原为有意义的字符串）： str1 = 'i2sl54ovvvb4e3bferi32s56h;$c43.sfc67o0cm99' ''' str1 = 'i2sl54ovvvb4e3bferi32s56h;$c43.sfc67o0cm99' str2 = '' for i in range(len(str1)): if i % 3 == 0 : str2 += str1[i] print (str2)

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null

1

0

1

0

null

0

5

e1547a0764714cf205713c6eeef2ae3a6d1cd464

628

py

Python

cat_data.py

MarvinQuevedo/ozone_api

a8d319c9ff2cbaed4fbe24e62dfdb0e129184be0

[ "MIT" ]

null

cat_data.py

MarvinQuevedo/ozone_api

a8d319c9ff2cbaed4fbe24e62dfdb0e129184be0

[ "MIT" ]

null

cat_data.py

MarvinQuevedo/ozone_api

a8d319c9ff2cbaed4fbe24e62dfdb0e129184be0

[ "MIT" ]

null

from typing import Optional from pydantic import BaseModel class CatData(BaseModel): hash: Optional[str] = None code: Optional[str] = None name: Optional[str] = None category: Optional[str] = None description: Optional[str] = None multiplier: Optional[int] = None supply: Optional[int] = None hashgreen_price: Optional[float] = None hashgreen_marketcap: Optional[int] = None clvm: Optional[str] = None chialisp: Optional[str] = None logo_url: Optional[str] = None website_url: Optional[str] = None discord_url: Optional[str] = None twitter_url : Optional[str] = None

31.4

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null

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0

5

e1984b1dba032b0cfce3d118fe3f7d2c8773abc4

329

py

Python

MapasDeCampos_by_hidromod/src/__main__.py

RBCanelas/MOHID_python_tools

debddbba4fed0e1eae042eedc1554094bb78a63d

[ "MIT" ]

null

MapasDeCampos_by_hidromod/src/__main__.py

RBCanelas/MOHID_python_tools

debddbba4fed0e1eae042eedc1554094bb78a63d

[ "MIT" ]

null

MapasDeCampos_by_hidromod/src/__main__.py

RBCanelas/MOHID_python_tools

debddbba4fed0e1eae042eedc1554094bb78a63d

[ "MIT" ]

null

import PythonImageGenerator import ModuloMaps import ModuloTimeSeriesPlot import ModuloGeneralReadOptions import ModuloMapsBasemaps import ModuloMapsDraw import ModuloMapsFunctions import ModuloMapsLonLat2Center import ModuloMapsValidation import ModuloTimeSerieReader import ModuloTimeSeriesFunctions import ModuloTimeSeriesDraw

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null

0

null

0

1

0

1

0

1

0

5

bed8747531b5a487b355635af249af12e7adfe23

4,819

py

Python

stream_registry_python_client/restclient.py

homeaway/stream-registry-python-client

1683ab66941ac0a02d1ef9646f55a013088323c1

[ "Apache-2.0" ]

1

2019-01-29T20:19:53.000Z

stream_registry_python_client/restclient.py

homeaway/stream-registry-python-client

1683ab66941ac0a02d1ef9646f55a013088323c1

[ "Apache-2.0" ]

1

2019-01-31T16:36:59.000Z

stream_registry_python_client/restclient.py

eleduardo/stream-registry-python-client

1683ab66941ac0a02d1ef9646f55a013088323c1

[ "Apache-2.0" ]

1

2019-01-31T16:24:29.000Z

# Copyright (c) 2018 Expedia Group. # All rights reserved. http://www.homeaway.com # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # http://www.apache.org/licenses/LICENSE-2.0 # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from logzero import logger import requests from typing import Dict def register_consumer(registry_config: Dict[str, str], stream_name: str): """ Invoke this function to register a consumer to a stream. Under this cover this function invokes the `stream registry api <https://homeaway.github.io/stream-registry/>`_ to subscribe the consumer and to receive the subscription metadata which can then be used to create the actual consumer. :param dict registry_config: Config parameters containing the following { 'base_url' : The base URL to the stream service http://streamregistry.org 'region' : The string that represents the region where a consumer application is running 'app_name': The name of the application that is consuming } :param stream_name: The name of the stream to consume from :return: a dict object that contains the subscription and configuration binding including the underlying topic names """ __validate_input(registry_config) url = registry_config.get("base_url") region = registry_config.get("region") appname = registry_config.get("app_name") if not stream_name: logger.error("The name of the stream name is requred") raise ValueError("The name of the stream name is requred") request_url = "{}/v0/streams/{}/consumers/{}/regions/{}".format(url, stream_name, appname, region) response = requests.put(request_url) if not response.ok: logger.error("Unable to register consumer into the stream registry {} with {}".format( response.status_code, response.text)) return None return response.json() def register_producer(registry_config: Dict[str, str], stream_name: str): """ Invoke this function to register a producer to a stream. Under this cover this function invokes the `stream registry api <https://homeaway.github.io/stream-registry/>`_ to subscribe the producer and to receive the subscription metadata which can then be used to create the actual producer. :param dict registry_config: Config parameters containing the following { 'base_url' : The base URL to the stream service http://streamregistry.org 'region' : The string that represents the region where a producing application is running 'app_name': The name of the application that is producing } :param stream_name: The name of the stream to produce to :return: a dict object that contains the subscription and configuration binding including the underlying topic name """ __validate_input(registry_config) url = registry_config.get("base_url") region = registry_config.get("region") appname = registry_config.get("app_name") if not stream_name: logger.error("The name of the stream name is requred") raise ValueError("The name of the stream name is requred") request_url = "{}/v0/streams/{}/producers/{}/regions/{}".format(url, stream_name, appname, region) response = requests.put(request_url) if not response.ok: logger.error("Unable to register consumer into the stream registry {} with {}".format( response.status_code, response.text)) return None return response.json() def __validate_input(registry_config: Dict[str, str]): url = registry_config.get("base_url") if url is None or not url: logger.error("A base_url configuration parameter is required to consume a stream") raise ValueError("A base_url configuration parameter is required to consume a stream") region = registry_config.get("region") if region is None or not region: logger.error("The current running region needs to be identified for starting a consumer") raise ValueError("The current running region needs to be identified for starting a consumer") appname = registry_config.get("app_name") if appname is None or not appname: logger.error("The name of the consuming application needs to be defined in the configuration") raise ValueError("The current running region needs to be identified for starting a consumer")

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0

1

0

null

0

5

befff2c46153fcf6a3d0b8ff454b8419fd29277b

41

py

Python

django_crontab/models.py

martn/django-crontab

978a26d547f1004ee286d08e31625bfbcee28811

[ "MIT-0" ]

783

2015-01-02T22:51:19.000Z

2022-03-29T10:14:57.000Z

django_crontab/models.py

martn/django-crontab

978a26d547f1004ee286d08e31625bfbcee28811

[ "MIT-0" ]

103

2015-03-26T05:42:05.000Z

2022-03-29T08:59:00.000Z

django_crontab/models.py

martn/django-crontab

978a26d547f1004ee286d08e31625bfbcee28811

[ "MIT-0" ]

135

2015-01-07T09:29:55.000Z

2022-03-17T06:57:41.000Z

# Move along folks, nothing to see here!

20.5

40

0.731707

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4.285714

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0.195122

41

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0.909091

0.926829

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1

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null

0

1

0

5

83158ee8d55f589e4de190e0b1991b35aad52a5f

236

py

Python

trainer/__init__.py

densechen/DIP

957de1d3e4e8b663ce305e896c7a82a0bd044301

[ "MIT" ]

5

2020-12-27T03:02:37.000Z

2022-03-30T06:59:14.000Z

trainer/__init__.py

densechen/DIP

957de1d3e4e8b663ce305e896c7a82a0bd044301

[ "MIT" ]

null

trainer/__init__.py

densechen/DIP

957de1d3e4e8b663ce305e896c7a82a0bd044301

[ "MIT" ]

null

''' Descripttion: densechen@foxmail.com version: 0.0 Author: Dense Chen Date: 1970-01-01 08:00:00 LastEditors: Dense Chen LastEditTime: 2020-08-12 20:45:23 ''' from .irl_trainer import * from .rl_trainer import * from .trainer import *

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1

0

1

0

1

0

5

8339454d00560c0001c56a7bfd34ed2dcd14c250

11,352

py

Python

quidel/tests/test_data_tools.py

benjaminysmith/covidcast-indicators

b1474cd68a1497166fefe4beffd4d5ff867b9a61

[ "MIT" ]

null

quidel/tests/test_data_tools.py

benjaminysmith/covidcast-indicators

b1474cd68a1497166fefe4beffd4d5ff867b9a61

[ "MIT" ]

null

quidel/tests/test_data_tools.py

benjaminysmith/covidcast-indicators

b1474cd68a1497166fefe4beffd4d5ff867b9a61

[ "MIT" ]

null

from datetime import date import numpy as np import pandas as pd import pytest from delphi_quidel import data_tools class TestDataTools: @pytest.mark.parametrize("p,n,expected", [ # 0 cases (0, 8, 0), (1, 6, 0), # nonzero cases (0.5, 2, 0.125), (0.4, 6, 0.04), ]) def test__prop_var(self, p, n, expected): assert data_tools._prop_var(p, n) == expected # test div/0 case with pytest.raises(ZeroDivisionError): data_tools._prop_var(0.1, 0) @pytest.mark.parametrize("input_df, first, last, expected", [ # do nothing case (pd.DataFrame([1., 2], index=[date(2020, 1, 2), date(2020, 1, 3)]), date(2020, 1, 2), date(2020, 1, 3), pd.DataFrame([1., 2], index=[date(2020, 1, 2), date(2020, 1, 3)])), # add to end case (pd.DataFrame([1, 2], index=[date(2020, 1, 2), date(2020, 1, 3)]), date(2020, 1, 2), date(2020, 1, 4), pd.DataFrame([1., 2., 0.], index=[date(2020, 1, 2), date(2020, 1, 3), date(2020, 1, 4)])), # add to start case (pd.DataFrame([1, 2], index=[date(2020, 1, 2), date(2020, 1, 4)]), date(2020, 1, 2), date(2020, 1, 4), pd.DataFrame([1, 0, 2], index=[date(2020, 1, 2), date(2020, 1, 3), date(2020, 1, 4)])), # fill middle case (pd.DataFrame([1, 2], index=[date(2020, 1, 2), date(2020, 1, 3)]), date(2020, 1, 1), date(2020, 1, 3), pd.DataFrame([0., 1., 2.], index=[date(2020, 1, 1), date(2020, 1, 2), date(2020, 1, 3)])), # add both sides case (pd.DataFrame([1.], index=[date(2020, 1, 2)]), date(2020, 1, 1), date(2020, 1, 3), pd.DataFrame([0., 1., 0.], index=[date(2020, 1, 1), date(2020, 1, 2), date(2020, 1, 3)])), # nan case + fill both sides (pd.DataFrame([np.nan], index=[date(2020, 1, 2)]), date(2020, 1, 1), date(2020, 1, 3), pd.DataFrame([0., 0., 0.], index=[date(2020, 1, 1), date(2020, 1, 2), date(2020, 1, 3)])) ]) def test_fill_dates(self, input_df, first, last, expected): assert data_tools.fill_dates(input_df, first, last).equals(expected) @pytest.mark.parametrize("k, expected", [ # check all k from 1 to n+1 (1, np.array([1, 2, 3, 4])), (2, np.array([1, 3, 5, 7])), (3, np.array([1, 3, 6, 9])), (4, np.array([1, 3, 6, 10])), (5, np.array([1, 3, 6, 10])), ]) def test__slide_window_sum(self, k, expected): arr = np.array([1, 2, 3, 4]) assert np.array_equal(data_tools._slide_window_sum(arr, k), expected) # non int case with pytest.raises(ValueError): data_tools._slide_window_sum(np.array([1]), 'abc') @pytest.mark.parametrize("min_obs, max_borrow_obs, expected", [ (1, 1, np.array([0, 0, 0, 0])), (2, 1, np.array([1/2, 0, 0, 0])), (8, 8, np.array([1, 1, 5/6, 4/8])), (8, 2, np.array([1, 2/4, 2/6, 2/8])) ]) def test__geographical_pooling(self, min_obs, max_borrow_obs, expected): tpooled_tests = np.array([1, 2, 3, 4]) tpooled_ptests = np.array([2, 4, 6, 8]) assert np.array_equal( data_tools._geographical_pooling(tpooled_tests, tpooled_ptests, min_obs, max_borrow_obs), expected) # nan case with pytest.raises(ValueError): data_tools._geographical_pooling(np.array([np.nan]), np.array([1]), 1, 1) @pytest.mark.parametrize("min_obs, expected_pos_prop, expected_se, expected_sample_sz", [ (3, # one case of tests < min_obs np.array([np.nan, 1/2, 1/2, 4/10]), np.array([np.nan, np.sqrt(0.25/4), np.sqrt(0.25/6), np.sqrt(0.24/10)]), np.array([np.nan, 4, 6, 10])), (1, # no cases of tests < min_obs np.array([1/2, 2/4, 3/6, 4/10]), np.array([np.sqrt(0.25/2), np.sqrt(0.25/4), np.sqrt(0.25/6), np.sqrt(0.24/10)]), np.array([2, 4, 6, 10])), ]) def test_raw_positive_prop(self, min_obs, expected_pos_prop, expected_se, expected_sample_sz): positives = np.array([1, 2, 3, 4]) tests = np.array([2, 4, 6, 10]) output = data_tools.raw_positive_prop(positives, tests, min_obs) # np.array_equal() doesn't compare nan's assert np.allclose(output[0], expected_pos_prop, equal_nan=True) assert np.allclose(output[1], expected_se, equal_nan=True) assert np.allclose(output[2], expected_sample_sz, equal_nan=True) # nan case with pytest.raises(ValueError): data_tools.raw_positive_prop(np.array([np.nan]), np.array([1]), 3) # positives > tests case with pytest.raises(ValueError): data_tools.raw_positive_prop(np.array([3]), np.array([1]), 3) # min obs <= 0 case with pytest.raises(ValueError): data_tools.raw_positive_prop(np.array([1]), np.array([1]), 0) @pytest.mark.parametrize("min_obs, max_borrow_obs, pool_days, parent_positives, parent_tests," "expected_prop, expected_se, expected_sample_sz", [ (3, # no parents case 3, 2, None, None, np.array([np.nan, 1/2, 1/2, 7/16]), np.array([np.nan, np.sqrt(0.25/6), np.sqrt(0.25/10), np.sqrt(63/256/16)]), np.array([np.nan, 6, 10, 16]), ), (3, # parents case 3, 2, np.array([3, 7, 9, 11]), np.array([5, 10, 15, 20]), np.array([1.6/3, 1/2, 1/2, 7/16]), np.array([np.sqrt(56/225/3), np.sqrt(0.25/6), np.sqrt(0.25/10), np.sqrt(63/256/16)]), np.array([3, 6, 10, 16]), ), ]) def test_smoothed_positive_prop(self, min_obs, max_borrow_obs, pool_days, parent_positives, parent_tests, expected_prop, expected_se, expected_sample_sz): positives = np.array([1, 2, 3, 4]) tests = np.array([2, 4, 6, 10]) output = data_tools.smoothed_positive_prop(positives, tests, min_obs, max_borrow_obs, pool_days, parent_positives, parent_tests) assert np.allclose(output[0], expected_prop, equal_nan=True) assert np.allclose(output[1], expected_se, equal_nan=True) assert np.allclose(output[2], expected_sample_sz, equal_nan=True) # nan case with pytest.raises(ValueError): data_tools.smoothed_positive_prop(np.array([np.nan]), np.array([1]), 1, 1, 1) # positives > tests case with pytest.raises(ValueError): data_tools.smoothed_positive_prop(np.array([2]), np.array([1]), 1, 1, 1) # nan case with parent with pytest.raises(ValueError): data_tools.smoothed_positive_prop(np.array([1]), np.array([1]), 1, 1, 1, np.array([np.nan]), np.array([np.nan])) # positives > tests case with parent with pytest.raises(ValueError): data_tools.smoothed_positive_prop(np.array([1]), np.array([1]), 1, 1, 1, np.array([3]), np.array([1])) # min obs <= 0 case with pytest.raises(ValueError): data_tools.smoothed_positive_prop(np.array([1]), np.array([1]), 0, 1, 1) # pool_days <= 0 case with pytest.raises(ValueError): data_tools.smoothed_positive_prop(np.array([1]), np.array([1]), 1, 1, 0) # pool_days non int case with pytest.raises(ValueError): data_tools.smoothed_positive_prop(np.array([1]), np.array([1]), 1, 1, 1.5) # max_borrow_obs > min_obs case with pytest.raises(ValueError): data_tools.smoothed_positive_prop(np.array([1]), np.array([1]), 1, 2, 1.5) @pytest.mark.parametrize("min_obs, expected_tests_per_device, expected_sample_sz", [ (3, # one case of tests < min_obs np.array([np.nan, 2, 1/2, 10/4]), np.array([np.nan, 4, 3, 10])), (1, # no cases of tests < min_obs np.array([2, 2, 1/2, 10/4]), np.array([2, 4, 3, 10])), ]) def test_raw_tests_per_device(self, min_obs, expected_tests_per_device, expected_sample_sz): devices = np.array([1, 2, 6, 4]) tests = np.array([2, 4, 3, 10]) output = data_tools.raw_tests_per_device(devices, tests, min_obs) assert np.allclose(output[0], expected_tests_per_device, equal_nan=True) assert np.allclose(output[1], np.repeat(np.nan, len(devices)), equal_nan=True) assert np.allclose(output[2], expected_sample_sz, equal_nan=True) # nan case with pytest.raises(ValueError): data_tools.raw_tests_per_device(np.array([np.nan]), np.array([1]), 3) # min obs <= 0 case with pytest.raises(ValueError): data_tools.raw_tests_per_device(np.array([1]), np.array([1]), 0) @pytest.mark.parametrize("min_obs, max_borrow_obs, pool_days, parent_devices, parent_tests," "expected_prop, expected_se, expected_sample_sz", [ (3, # no parents case 3, 2, None, None, np.array([np.nan, 2, 5/6, 8/7]), np.repeat(np.nan, 4), np.array([np.nan, 6, 10, 16]), ), (3, # no parents case 3, 2, np.array([3, 7, 25, 11]), np.array([5, 10, 15, 20]), np.array([3/1.6, 2, 5/6, 8/7]), np.repeat(np.nan, 4), np.array([3, 6, 10, 16]), ), ]) def test_smoothed_tests_per_device(self, min_obs, max_borrow_obs, pool_days, parent_devices, parent_tests, expected_prop, expected_se, expected_sample_sz): devices = np.array([1, 2, 10, 4]) tests = np.array([2, 4, 6, 10]) output = data_tools.smoothed_tests_per_device(devices, tests, min_obs, max_borrow_obs, pool_days, parent_devices, parent_tests) assert np.allclose(output[0], expected_prop, equal_nan=True) assert np.allclose(output[1], expected_se, equal_nan=True) assert np.allclose(output[2], expected_sample_sz, equal_nan=True) # nan case with pytest.raises(ValueError): data_tools.smoothed_tests_per_device(np.array([np.nan]), np.array([1]), 1, 1, 1) # nan case with parent with pytest.raises(ValueError): data_tools.smoothed_tests_per_device(np.array([1]), np.array([1]), 1, 1, 1, np.array([np.nan]), np.array([np.nan])) # min obs <= 0 case with pytest.raises(ValueError): data_tools.smoothed_tests_per_device(np.array([1]), np.array([1]), 0, 0, 1) # pool_days <= 0 case with pytest.raises(ValueError): data_tools.smoothed_tests_per_device(np.array([1]), np.array([1]), 1, 1, 0) # pool_days non int case with pytest.raises(ValueError): data_tools.smoothed_tests_per_device(np.array([1]), np.array([1]), 1, 1, 1.5) # max_borrow_obs > min_obs case with pytest.raises(ValueError): data_tools.smoothed_tests_per_device(np.array([1]), np.array([1]), 1, 3, 1.5)

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0.73528

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0.086919

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11,352

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45.408

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0

null

0

1

0

1

0

null

0

5

8360beace34225df6b4f880e7ba6561c523e8b21

1,389

py

Python

quantipy/__init__.py

kaitumisuuringute-keskus/quantipy3

4066f22d1bda38a7082fb055d8a35bef8a7cd786

[ "MIT" ]

null

quantipy/__init__.py

kaitumisuuringute-keskus/quantipy3

4066f22d1bda38a7082fb055d8a35bef8a7cd786

[ "MIT" ]

null

quantipy/__init__.py

kaitumisuuringute-keskus/quantipy3

4066f22d1bda38a7082fb055d8a35bef8a7cd786

[ "MIT" ]

null

from quantipy.core.options import set_option, OPTIONS from quantipy.core.dataset import DataSet from quantipy.core.batch import Batch from quantipy.core.link import Link from quantipy.core.view import View from quantipy.core.chain import Chain from quantipy.core.stack import Stack from quantipy.core.cluster import Cluster from quantipy.core.weights.rim import Rim from quantipy.core.weights.weight_engine import WeightEngine from quantipy.core.view_generators.view_mapper import ViewMapper from quantipy.core.view_generators.view_maps import QuantipyViews from quantipy.core.view_generators.view_specs import (net, calc, ViewManager) from quantipy.core.helpers.functions import parrot import quantipy.core.helpers.functions as helpers import quantipy.core.tools.dp as dp import quantipy.core.tools.view as v from quantipy.core.pandas_utility import dataframe_fix_string_types # from quantipy.sandbox import sandbox from quantipy.core.tools.dp.io import ( read_quantipy, write_quantipy, read_ascribe, read_decipher, read_dimensions,write_dimensions, read_spss, write_spss) from quantipy.core.quantify.engine import Quantity, Test from quantipy.core.builds.excel.excel_painter import ExcelPainter from quantipy.core.builds.powerpoint.pptx_painter import PowerPointPainter from quantipy.version import version as __version__

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1

0

1

0

1

0

5

836b04ad2a635e1b290a58fd34b9a93e1b1fefb0

56

py

Python

greet.py

Ashokkommi0001/my_packages

28e99345c5abdbb9fabb80b1977e6631af713db7

[ "MIT" ]

null

greet.py

Ashokkommi0001/my_packages

28e99345c5abdbb9fabb80b1977e6631af713db7

[ "MIT" ]

null

greet.py

Ashokkommi0001/my_packages

28e99345c5abdbb9fabb80b1977e6631af713db7

[ "MIT" ]

null

def SayHello(name): return "Hello, Hi " + str(name)

18.666667

35

0.625

8

56

4.375

0.875

0

0.214286

56

2

36

28

0.795455

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0.178571

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0

0.5

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null

0

1

0

null

0

1

0

1

0

5

55ceb60c15cd678f3538bcaf3004938b722e8e9c

207

py

Python

gym_connect_four/__init__.py

nicolas-chan-42/COMP-3359-Project-Deep-Q-RL

6e9098e6d55b8a813b27efc871f179ffeb2cfa9c

[ "MIT" ]

null

gym_connect_four/__init__.py

nicolas-chan-42/COMP-3359-Project-Deep-Q-RL

6e9098e6d55b8a813b27efc871f179ffeb2cfa9c

[ "MIT" ]

1

2020-05-02T15:24:23.000Z

gym_connect_four/__init__.py

nicolas-chan-42/COMP-3359-Project-Deep-Q-RL

6e9098e6d55b8a813b27efc871f179ffeb2cfa9c

[ "MIT" ]

null

from gym.envs.registration import register from gym_connect_four.envs import ConnectFourEnv, ResultType, Reward register( id='ConnectFour-v1', entry_point='gym_connect_four.envs:ConnectFourEnv', )

23

68

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0.0875

0.175

0.225

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8

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25.875

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null

0

1

0

1

0

5

55e9ba08c5454e7783f72af4d624457859009db4

55

py

Python

ide/crossviper-master/check.py

crazysuryaa/Deeplearning_PlayGround

94ddc3ddba157e3eb7cde4514e8824fe2c428551

[ "MIT" ]

null

ide/crossviper-master/check.py

crazysuryaa/Deeplearning_PlayGround

94ddc3ddba157e3eb7cde4514e8824fe2c428551

[ "MIT" ]

null

ide/crossviper-master/check.py

crazysuryaa/Deeplearning_PlayGround

94ddc3ddba157e3eb7cde4514e8824fe2c428551

[ "MIT" ]

null

import tensorflow as tf print("love is blind say hau")

18.333333

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55

4.2

1

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0.163636

55

3

30

18.333333

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true

0

0.5

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0.5

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null

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1

0

null

0

1

0

1

0

1

0

5

55f80ef937f67dd0ba9d6e1b6d96aef8aad70b19

3,865

py

Python

dags/segmentation_op.py

seung-lab/seuron

81e462f8ef71f2e28b4c2ad4c835b27b251ae25a

[ "MIT" ]

null

dags/segmentation_op.py

seung-lab/seuron

81e462f8ef71f2e28b4c2ad4c835b27b251ae25a

[ "MIT" ]

null

dags/segmentation_op.py

seung-lab/seuron

81e462f8ef71f2e28b4c2ad4c835b27b251ae25a

[ "MIT" ]

3

2018-12-20T16:46:38.000Z

2022-03-02T18:49:39.000Z

from custom.docker_custom import DockerWithVariablesOperator from airflow.utils.weight_rule import WeightRule from datetime import timedelta from param_default import default_args, cmd_proto, default_mount_path, default_seg_workspace, check_worker_image_labels from slack_message import task_retry_alert import os def composite_chunks_wrap_op(img, dag, config_mounts, queue, tag, stage, op, params): workspace_path = params.get("WORKSPACE_PATH", default_seg_workspace) overlap = 0 overlap_mode = params.get("OVERLAP_MODE", False) if overlap_mode: overlap_mip = params.get("OVERLAP_MIP", params.get("BATCH_MIP", 3)) overlap = 2 if int(tag.split("_")[0]) > overlap_mip else 1 cmdlist = f'export OVERLAP={overlap} && export STAGE={stage} && {os.path.join(workspace_path, "scripts/run_wrapper.sh")} . composite_chunk_{op} {tag}' return DockerWithVariablesOperator( config_mounts, mount_point=params.get("MOUNT_PATH", default_mount_path), task_id='composite_chunk_{}_{}'.format(stage, tag), command=cmd_proto.format(cmdlist), default_args=default_args, image=img, on_retry_callback=task_retry_alert, weight_rule=WeightRule.ABSOLUTE, execution_timeout=timedelta(minutes=params.get("HIGH_MIP_TIMEOUT", 600)), force_pull=True, queue=queue, dag=dag ) def composite_chunks_overlap_op(img, dag, config_mounts, queue, tag, params): workspace_path = params.get("WORKSPACE_PATH", default_seg_workspace) cmdlist = f'export STAGE=agg && {os.path.join(workspace_path, "scripts/run_wrapper.sh")} . composite_chunk_overlap {tag}' return DockerWithVariablesOperator( config_mounts, mount_point=params.get("MOUNT_PATH", default_mount_path), task_id='composite_chunk_overlap_{}'.format(tag), command=cmd_proto.format(cmdlist), default_args=default_args, image=img, on_retry_callback=task_retry_alert, weight_rule=WeightRule.ABSOLUTE, execution_timeout=timedelta(minutes=params.get("OVERLAP_TIMEOUT", 240)), force_pull=True, queue=queue, dag=dag ) def composite_chunks_batch_op(img, dag, config_mounts, queue, mip, tag, stage, op, params): workspace_path = params.get("WORKSPACE_PATH", default_seg_workspace) overlap = 1 if params.get("OVERLAP_MODE", False) else 0 cmdlist = f'export OVERLAP={overlap} && export STAGE={stage} && {os.path.join(workspace_path, "scripts/run_batch.sh")} {op} {mip} {tag}' return DockerWithVariablesOperator( config_mounts, mount_point=params.get("MOUNT_PATH", default_mount_path), task_id='batch_chunk_{}_{}'.format(stage, tag), command=cmd_proto.format(cmdlist), default_args=default_args, image=img, on_retry_callback=task_retry_alert, weight_rule=WeightRule.ABSOLUTE, execution_timeout=timedelta(minutes=params.get("BATCH_MIP_TIMEOUT", 120)), force_pull=True, queue=queue, dag=dag ) def remap_chunks_batch_op(img, dag, config_mounts, queue, mip, tag, stage, op, params): workspace_path = params.get("WORKSPACE_PATH", "/root/seg") cmdlist = f'export STAGE={stage} && {os.path.join(workspace_path, "scripts/remap_batch.sh")} {stage} {mip} {tag}' return DockerWithVariablesOperator( config_mounts, mount_point=params.get("MOUNT_PATH", "/root/.cloudvolume/secrets"), task_id='remap_chunk_{}_{}'.format(stage, tag), command=cmd_proto.format(cmdlist), default_args=default_args, image=img, on_retry_callback=task_retry_alert, weight_rule=WeightRule.ABSOLUTE, execution_timeout=timedelta(minutes=params.get("REMAP_TIMEOUT", 120)), force_pull=True, queue=queue, dag=dag )

42.01087

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0.681357

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3,865

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null

0

1

0

null

0

5

36065d5e10a8766c4fa56e09e9364a9b6cbbe8c5

43

py

Python

Python/printhello.py

PushpneetSingh/Hello-world

def0f44737e02fb40063cd347e93e456658e2532

[ "MIT" ]

1,428

2018-10-03T15:15:17.000Z

2019-03-31T18:38:36.000Z

Python/printhello.py

PushpneetSingh/Hello-world

def0f44737e02fb40063cd347e93e456658e2532

[ "MIT" ]

1,162

2018-10-03T15:05:49.000Z

2018-10-18T14:17:52.000Z

Python/printhello.py

PushpneetSingh/Hello-world

def0f44737e02fb40063cd347e93e456658e2532

[ "MIT" ]

3,909

2018-10-03T15:07:19.000Z

2019-03-31T18:39:08.000Z

#rajitha gunathilake print("hellow world!")

21.5

22

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5

43

6.8

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43

2

22

21.5

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0

1

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null

0

1

0

1

0

5

3621b940a075ced97f1d050c760c5163b55223f9

233

py

Python

src/unitmeasure/__init__.py

gabock/unitmeasure

440ee256d91794317345b9aff102e3e7416363d9

[ "MIT" ]

null

src/unitmeasure/__init__.py

gabock/unitmeasure

440ee256d91794317345b9aff102e3e7416363d9

[ "MIT" ]

null

src/unitmeasure/__init__.py

gabock/unitmeasure

440ee256d91794317345b9aff102e3e7416363d9

[ "MIT" ]

null

from unitmeasure import converters from unitmeasure.dimension import Dimension from unitmeasure.measurement import Measurement from unitmeasure.serialization import * from unitmeasure.unit import Unit from unitmeasure.units import *

33.285714

47

0.866953

27

233

7.481481

0.333333

0.445545

0

0.103004

233

6

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38.833333

0.966507

0

1

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true

0

1

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1

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1

0

null

1

0

1

0

null

0

1

0

1

0

5

362b3609db39249ead72af780b006116f08c7566

164

py

Python

web/talks/managers.py

vtalks/vtalks.net

80fb19ff9684e0854c6abe5f0eef73e80ec326a6

[ "Apache-2.0" ]

1

2017-11-28T03:17:23.000Z

web/talks/managers.py

vtalks/vtalks.net

80fb19ff9684e0854c6abe5f0eef73e80ec326a6

[ "Apache-2.0" ]

56

2018-01-14T18:03:03.000Z

2018-06-25T17:59:02.000Z

web/talks/managers.py

vtalks/vtalks.net

80fb19ff9684e0854c6abe5f0eef73e80ec326a6

[ "Apache-2.0" ]

null

from django.db import models class PublishedTalkManager(models.Manager): def get_queryset(self): return super().get_queryset().filter(published=True)

23.428571

60

0.75

20

164

6.05

0.85

0.181818

0

0.146341

164

6

61

27.333333

0.864286

0

1

0.25

false

0

0.25

1

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0

null

0

1

0

null

0

1

0

1

0

5

363ad08c16d61b41aba2ea5a56cf42fc8601e633

63

py

Python

keras_contrib/backend/cntk_backend.py

arodiss/keras-contrib

8ec9c77382120ac0cbd5ea55c6efda48d27af33a

[ "MIT" ]

null

keras_contrib/backend/cntk_backend.py

arodiss/keras-contrib

8ec9c77382120ac0cbd5ea55c6efda48d27af33a

[ "MIT" ]

null

keras_contrib/backend/cntk_backend.py

arodiss/keras-contrib

8ec9c77382120ac0cbd5ea55c6efda48d27af33a

[ "MIT" ]

1

2019-01-24T05:12:26.000Z

from keras.backend import cntk_backend as KCN import cntk as C

21

45

0.825397

12

63

4.25

0.666667

0.392157

0

0.15873

63

2

46

31.5

0.962264

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1

0

true

0

1

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null

1

0

1

0

null

0

1

0

1

0

5

366ca682fe26219ee02525f99c6472e46f0a1cb1

696

py

Python

compiler_test.py

gsedometov/KR580-compiler

29383b40c02f07d12414421151f45c3feccbd49b

[ "MIT" ]

null

compiler_test.py

gsedometov/KR580-compiler

29383b40c02f07d12414421151f45c3feccbd49b

[ "MIT" ]

null

compiler_test.py

gsedometov/KR580-compiler

29383b40c02f07d12414421151f45c3feccbd49b

[ "MIT" ]

null

from compiler import parser def test_labels(): assert parser.parse('LABEL0:\nJMP LABEL0\nMOV A, M\nLABEL1:\nMOV A, M\nJMP LABEL1') == [0xC3, 0x00, 0x00, 0x7E, 0x7E, 0xC3, 0x04, 0x00] def test_nullar(): assert parser.parse('NOP') == 0x00 assert parser.parse('STC') == 0x37 assert parser.parse('RC') == 0xD8 def test_two_rg(): assert parser.parse('MOV M, A') == 0x77 assert parser.parse('MOV C, L') == 0x4D def test_one_num(): assert parser.parse('CMA 09') == [0x2F, 0x09] def test_address(): assert parser.parse('CALL 0830') == [0xCD, 0x30, 0x08] def test_multiline(): assert parser.parse('STA 1918\nMOV A, M\nMOV A, M') == [0x32, 0x18, 0x19, 0x7E, 0x7E]

30.26087

139

0.650862

107

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4.158879

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0.126095

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696

22

140

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true

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0

null

1

0

null

0

1

0

1

0

5

36af5f32dbb615bc8a2e88e87a377674adb51245

153

py

Python

pyIOT/__init__.py

dhrone/pyIOT

653f47e568033111dc9073c8bd2f7812bec05fb6

[ "MIT" ]

null

pyIOT/__init__.py

dhrone/pyIOT

653f47e568033111dc9073c8bd2f7812bec05fb6

[ "MIT" ]

null

pyIOT/__init__.py

dhrone/pyIOT

653f47e568033111dc9073c8bd2f7812bec05fb6

[ "MIT" ]

1

2019-04-28T12:48:51.000Z

import logging logging.getLogger(__name__).addHandler(logging.NullHandler()) from pyIOT.Thing import Thing from pyIOT.Component import Component

21.857143

62

0.803922

18

153

6.611111

0.555556

0.151261

0

0.124183

153

6

63

25.5

0.88806

0

1

0

true

0

0.75

0

0.75

0

1

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null

0

1

0

null

0

1

0

1

0

1

0

5

36d65a12fc2c08546dfaef2f960ff7e7ea2ea02b

148

py

Python

Interview_problems_solutions/DP/dp_multiply.py

filip-michalsky/Algorithms_and_Data_Structures

ca3a004ecd86224c6c15274a6002c59d6e50c71b

[ "MIT" ]

null

Interview_problems_solutions/DP/dp_multiply.py

filip-michalsky/Algorithms_and_Data_Structures

ca3a004ecd86224c6c15274a6002c59d6e50c71b

[ "MIT" ]

null

Interview_problems_solutions/DP/dp_multiply.py

filip-michalsky/Algorithms_and_Data_Structures

ca3a004ecd86224c6c15274a6002c59d6e50c71b

[ "MIT" ]

null

def dp_multiply(num1,num2): if num1 ==0 or num2 == 0: return 0 if num2 == 1: return num1 else: return num1 + dp_multiply(num1,num2-1)

11.384615

40

0.635135

26

148

3.538462

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0.217391

0.304348

0.391304

0

0.125

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0

1

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null

1

0

null

0

1

0

5

36fb045ce8f2f664b143106fe28e682ee5455458

3,872

py

Python

WEEKS/CD_Sata-Structures/_MISC/misc-examples/5-webcache.py

webdevhub42/Lambda

b04b84fb5b82fe7c8b12680149e25ae0d27a0960

[ "MIT" ]

null

WEEKS/CD_Sata-Structures/_MISC/misc-examples/5-webcache.py

webdevhub42/Lambda

b04b84fb5b82fe7c8b12680149e25ae0d27a0960

[ "MIT" ]

null

WEEKS/CD_Sata-Structures/_MISC/misc-examples/5-webcache.py

webdevhub42/Lambda

b04b84fb5b82fe7c8b12680149e25ae0d27a0960

[ "MIT" ]

null

import urllib.request import datetime """ - create a web client, that on the first iteration of fetching a url it then caches the url and response in a hash table - on subsequent calls the web response is pulled from the cache - URL -> KEY - PAGE DATA -> VALUE """ # # first pass # # let's make a class to hold a cache entry # # store the url # # store the data # class CacheEntry: # def __init__(self, url, data): # self.url = url # self.data = data # # hold a cache # cache = {} # # let's plan out how we will approach this # # loop # while True: # # take input from user set it to url # url = input("Enter a URL: ") # # some data store # data = None # # check if the key is in the cache # if url in cache: # # if it is then set the cache at the url to an entry # entry = cache[url] # # set our data to the entry / the data that was returned # data = entry.data # # print getting from cache # print("Getting data from cache...") # # if our data is still none # if data is None: # # print getting from server # print("Getting data from server...") # # then get the data from the server # # call to urlopen passing in the url # # save the response # resp = urllib.request.urlopen(url) # # take the response data and put it in the data variable # data = resp.read() # # store the data in the cache # cache[url] = CacheEntry(url, data) # # close connection # resp.close() # second pass # let's make a class to hold a cache entry # store the url # store the data # store a timestamp # some expiry time # let's plan out how we will approach this # keep looping # take input from user set it to url # some data store # check if the key is in the cache # if it is then set the cache at the url to an entry # has our cache timeout expired # if it has not expired # set our data to the entry / the data that was returned # print getting from cache # if our data is still none # then get the data from the server # call to urlopen passing in the url # save the response # take the response data and put it in the data variable # print getting from server # store the data in the cache # create a cache entry object and store that in the cache # close connection # let's make a class to hold a cache entry # store the url # store the data # store a timestamp CACHE_EXPIRY_SECONDS = 10 class CacheEntry: def __init__(self, url, data): self.url = url self.data = data self.timestamp = datetime.datetime.now().timestamp() # hold a cache cache = {} # let's plan out how we will approach this # loop while True: # take input from user set it to url url = input("Enter a URL: ") # some data store data = None # check if the key is in the cache if url in cache: cur_time = datetime.datetime.now().timestamp() # if it is then set the cache at the url to an entry entry = cache[url] # if it has not expired if cur_time - entry.timestamp < CACHE_EXPIRY_SECONDS: # set our data to the entry / the data that was returned data = entry.data # print getting from cache print("Getting data from cache...") # if our data is still none if data is None: # print getting from server print("Getting data from server...") # then get the data from the server # call to urlopen passing in the url # save the response resp = urllib.request.urlopen(url) # take the response data and put it in the data variable data = resp.read() # store the data in the cache cache[url] = CacheEntry(url, data) # close connection resp.close()

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1

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null

0

5

7fd1484bcd16f3d6f80882389e7c146465a3b8e0

122

py

Python

main.py

appletime81/machine_data_excel_processing

04f992bf0ce81f37b5536ab26756732f555a2c6a

[ "MIT" ]

null

main.py

appletime81/machine_data_excel_processing

04f992bf0ce81f37b5536ab26756732f555a2c6a

[ "MIT" ]

null

main.py

appletime81/machine_data_excel_processing

04f992bf0ce81f37b5536ab26756732f555a2c6a

[ "MIT" ]

null

from utils import * import time from pprint import pprint def main(): pass if __name__ == '__main__': main()

9.384615

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0.655738

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122

4.5

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null

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1

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1

0

5

7ff9a7633726b16fb2190c01631363f8b4749bd0

38

py

Python

02_Functions/resolver/__init__.py

MANOJPATRA1991/Python-Beyond-the-Basics

aed7bfd35e33c2b1759b48e1c89314aa149c56d0

[ "MIT" ]

null

02_Functions/resolver/__init__.py

MANOJPATRA1991/Python-Beyond-the-Basics

aed7bfd35e33c2b1759b48e1c89314aa149c56d0

[ "MIT" ]

null

02_Functions/resolver/__init__.py

MANOJPATRA1991/Python-Beyond-the-Basics

aed7bfd35e33c2b1759b48e1c89314aa149c56d0

[ "MIT" ]

null

from resolver.resolver import Resolver

38

0.894737

5

38

6.8

0.6

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0.078947

38

1

38

0.971429

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null

0

1

0

1

0

5

3d1e93ebc6d6cf7e8729bd6a5949e1b8f9ecd69f

734

py

Python

webfront/exceptions.py

ProteinsWebTeam/project-skeleton

7aeb971ba2d9bfe272e0590bd4484afb61336b96

[ "Apache-2.0" ]

6

2020-05-25T17:35:52.000Z

2022-03-26T00:45:55.000Z

webfront/exceptions.py

ProteinsWebTeam/project-skeleton

7aeb971ba2d9bfe272e0590bd4484afb61336b96

[ "Apache-2.0" ]

76

2016-07-29T09:22:34.000Z

2022-03-15T07:57:17.000Z

webfront/exceptions.py

ProteinsWebTeam/project-skeleton

7aeb971ba2d9bfe272e0590bd4484afb61336b96

[ "Apache-2.0" ]

1

2017-04-09T20:08:30.000Z

class DeletedEntryError(Exception): def __init__(self, accession, date, message, history): self.accession = accession self.message = message self.date = date self.history = history class EmptyQuerysetError(Exception): def __init__(self, message): self.message = message class ExpectedUniqueError(Exception): def __init__(self, message): self.message = message class HmmerWebError(Exception): def __init__(self, message): self.message = message class BadURLParameterError(Exception): def __init__(self, message): self.message = message class InvalidOperationRequest(Exception): def __init__(self, message): self.message = message

27.185185

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1

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null

0

1

0

1

0

5

e9f862316edf460397ffbab6a9bac45c43e80e08

10,552

py

Python

tests/test_extensions/test_highlight.py

mlclmj/pymdown-extensions

a39b0e99dc7971e16740b04de4fe4f63324be0dd

[ "MIT" ]

null

tests/test_extensions/test_highlight.py

mlclmj/pymdown-extensions

a39b0e99dc7971e16740b04de4fe4f63324be0dd

[ "MIT" ]

null

tests/test_extensions/test_highlight.py

mlclmj/pymdown-extensions

a39b0e99dc7971e16740b04de4fe4f63324be0dd

[ "MIT" ]

null

"""Test cases for Highlight.""" from .. import util class TestHighlightInline(util.MdCase): """Test highlight inline.""" extension = ['pymdownx.highlight', 'pymdownx.superfences'] extension_configs = { 'pymdownx.highlight': { 'linenums_style': 'pymdownx-inline' } } def test_pymdownx_inline(self): """Test new inline mode.""" self.check_markdown( r''' ```python linenums="1" import test test.test() ``` ''', r''' <div class="highlight"><pre><code>import test test.test() </code></pre></div> ''', # noqa: E501 True ) class TestNoClass(util.MdCase): """Test no class.""" extension = ['pymdownx.highlight', 'pymdownx.superfences', 'markdown.extensions.attr_list'] extension_configs = { 'pymdownx.highlight': { 'css_class': '' } } def test_no_class(self): """Test with no class.""" self.check_markdown( r''' ```python import test test.test() ``` ''', r''' <div><pre><code>import test test.test() </code></pre></div> ''', # noqa: E501 True ) def test_no_class_and_user_class(self): """Test with no class and user class.""" self.check_markdown( r''' ```{.python .more} import test test.test() ``` ''', r''' <div class="more"><pre><code>import test test.test() </code></pre></div> ''', # noqa: E501 True ) def test_no_class_and_user_class_linenums(self): """Test with no class and user class and table format.""" self.check_markdown( r''' ```{.python .more linenums="1"} import test test.test() ``` ''', r''' <table class="more table"><tr><td class="linenos"><div class="linenodiv"><pre>1 2</pre></div></td><td class="code"><div class="more "><pre><code>import test test.test() </code></pre></div> </td></tr></table> ''', # noqa: E501 True ) class TestNoClassNoPygments(util.MdCase): """Test no class.""" extension = ['pymdownx.highlight', 'pymdownx.superfences'] extension_configs = { 'pymdownx.highlight': { 'css_class': '', 'use_pygments': False } } def test_no_class_no_pygments(self): """Test with no class and no Pygments.""" self.check_markdown( r''' ```python import test test.test() ``` ''', r''' <pre><code class="language-python">import test test.test()</code></pre> ''', # noqa: E501 True ) class TestCustomLangPrefixNoPygments(util.MdCase): """Test custom language prefix.""" extension = ['pymdownx.highlight', 'pymdownx.superfences', 'pymdownx.inlinehilite'] extension_configs = { 'pymdownx.highlight': { 'language_prefix': 'lang-', 'use_pygments': False } } def test_custom_prefix_no_pygments(self): """Test with custom prefix and no Pygments.""" self.check_markdown( r''' ```python import test test.test() ``` ''', r''' <pre class="highlight"><code class="lang-python">import test test.test()</code></pre> ''', # noqa: E501 True ) def test_custom_prefix_no_pygments_inline(self): """Test with custom prefix and no Pygments with inline code.""" self.check_markdown( '`#!python import test`', '<code class="lang-python highlight">import test</code>' ) class TestNoPygments(util.MdCase): """Test no Pygments.""" extension = ['pymdownx.highlight', 'pymdownx.superfences'] extension_configs = { 'pymdownx.highlight': { 'use_pygments': False } } def test_no_pygments(self): """Test with no Pygments.""" self.check_markdown( r''' ```python import test test.test() ``` ''', r''' <pre class="highlight"><code class="language-python">import test test.test()</code></pre> ''', True ) def test_no_pygments_linenums(self): """Test with no Pygments and line numbers.""" self.check_markdown( r''' ```python linenums="1" import test test.test() ``` ''', r''' <code>python linenums="1" import test test.test()</code> ''', True ) class TestNoPygmentsCustomLineClass(util.MdCase): """Test no Pygments with custom line number class.""" extension = ['pymdownx.highlight', 'pymdownx.superfences'] extension_configs = { 'pymdownx.highlight': { 'use_pygments': False, 'linenums_class': 'line-numbers', 'linenums': True } } def test_no_pygments_linenums_custom_class(self): """Test with no Pygments and line numbers.""" self.check_markdown( r''' Text import test test.test() Text ''', r''' Text <pre class="highlight"><code>import test test.test() </code></pre> Text ''', True ) def test_no_pygments_linenums_custom_class_fences(self): """Test with no Pygments and line numbers in fences.""" self.check_markdown( r''' ```python import test test.test() ``` ''', r''' <pre class="highlight"><code class="language-python">import test test.test()</code></pre> ''', True ) class TestHighlightSpecial(util.MdCase): """Test highlight global special.""" extension = ['pymdownx.highlight', 'pymdownx.superfences'] extension_configs = { 'pymdownx.highlight': { 'linenums_style': 'pymdownx-inline', 'linenums_special': 2 } } def test_special(self): """Test global special mode.""" self.check_markdown( r''' ```python linenums="1" import test test.test() ``` ''', r''' <div class="highlight"><pre><code>import test test.test() </code></pre></div> ''', # noqa: E501 True ) def test_special_override(self): """Test global special mode override.""" self.check_markdown( r''' ```python linenums="1 1 1" import test test.test() ``` ''', r''' <div class="highlight"><pre><code>import test test.test() </code></pre></div> ''', # noqa: E501 True ) class TestDisabledLinenums(util.MdCase): """Test with line numbers globally disabled.""" extension = ['pymdownx.highlight', 'pymdownx.superfences'] extension_configs = { 'pymdownx.highlight': { 'linenums': False } } def test_global_disable(self): """Test with line numbers globally disabled.""" self.check_markdown( r''' ```python linenums="1" import test test.test() ``` ''', r''' <div class="highlight"><pre><code>import test test.test() </code></pre></div> ''', # noqa: E501 True ) class TestDisabledLinenumsNoPygments(util.MdCase): """Test with line numbers globally disabled with no Pygments.""" extension = ['pymdownx.highlight', 'pymdownx.superfences'] extension_configs = { 'pymdownx.highlight': { 'linenums': False, 'use_pygments': False } } def test_global_disable(self): """Test with line numbers globally disabled and no Pygments.""" self.check_markdown( r''' ```python linenums="1" import test test.test() ``` ''', r''' <code>python linenums="1" import test test.test()</code> ''', # noqa: E501 True )

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1

0

1

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null

0

5

1823e4151bfcd2a992bb3de1d07dd50256323e3c

154

py

Python

Parts/__init__.py

ragreenburg/postgres_odbc

a210e36a162bdbcb9cc55319c38fe9660638f4ed

[ "MIT" ]

null

Parts/__init__.py

ragreenburg/postgres_odbc

a210e36a162bdbcb9cc55319c38fe9660638f4ed

[ "MIT" ]

2

2020-10-16T16:51:53.000Z

2020-10-27T21:36:26.000Z

Parts/__init__.py

ragreenburg/postgres_odbc

a210e36a162bdbcb9cc55319c38fe9660638f4ed

[ "MIT" ]

null

#__init__.py from .edit import editing, editdb, edit_autofill from .parts import parts_db from .condenser import cond_db from .compressor import comp_db

22

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true

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null

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1

0

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5

184e94ed9ef324ddd4d4df15e0b4642b85d5af5f

5,645

py

Python

ASSIGN-2/assignment_2/Environments/environments/envs/random_maze.py

ShivenTripathi/CS698-Deep-Reinforcement-Learning

184f7887cea3065d2bfa4ba05bfb249838c3dab4

[ "MIT" ]

null

ASSIGN-2/assignment_2/Environments/environments/envs/random_maze.py

ShivenTripathi/CS698-Deep-Reinforcement-Learning

184f7887cea3065d2bfa4ba05bfb249838c3dab4

[ "MIT" ]

null

ASSIGN-2/assignment_2/Environments/environments/envs/random_maze.py

ShivenTripathi/CS698-Deep-Reinforcement-Learning

184f7887cea3065d2bfa4ba05bfb249838c3dab4

[ "MIT" ]

null

import gym from gym import spaces from gym.spaces import Discrete from gym.utils import seeding import numpy as np from os import path import math from typing import Tuple class InValidActionException (Exception): pass class RandomMaze(gym.Env): '''Constructor. Takes number of states as a parameter. States are: 0 1 2 3(Goal) 4 5(Wall) 6 7(Hole) 8(Start) 9 10 11 Action space : 0 -> LEFT 1 -> UP 2 -> RIGHT 3 -> DOWN Allocate the Reward: If Goal state: +1 If Hole state: -1 Otherwise: -0.04 ''' def __init__(self): self.start_state = int(8) self.goal = int(3) self.hole = int(7) self.state = int(8) self.transition_matrix = { 0: { 0: [(0.8, 0, -0.04, False), (0.1, 0, -0.04, False), (0.1, 4, -0.04, False)], 1: [(0.8, 0, -0.04, False), (0.1, 0, -0.04, False), (0.1, 1, -0.04, False)], 2: [(0.8, 1, -0.04, False), (0.1, 0, -0.04, False), (0.1, 4, -0.04, False)], 3: [(0.8, 4, -0.04, False), (0.1, 0, -0.04, False), (0.1, 1, -0.04, False)], }, 1: { 0: [(0.8, 0, -0.04, False), (0.1, 1, -0.04, False), (0.1, 1, -0.04, False)], 1: [(0.8, 1, -0.04, False), (0.1, 0, -0.04, False), (0.1, 2, -0.04, False)], 2: [(0.8, 2, -0.04, False), (0.1, 1, -0.04, False), (0.1, 1, -0.04, False)], 3: [(0.8, 1, -0.04, False), (0.1, 0, -0.04, False), (0.1, 2, -0.04, False)], }, 2: { 0: [(0.8, 1, -0.04, False), (0.1, 2, -0.04, False), (0.1, 6, -0.04, False)], 1: [(0.8, 2, -0.04, False), (0.1, 1, -0.04, False), (0.1, 3, +1, True)], 2: [(0.8, 3, +1, True), (0.1, 2, -0.04, False), (0.1, 6, -0.04, False)], 3: [(0.8, 6, -0.04, False), (0.1, 1, -0.04, False), (0.1, 3, +1, True)], }, 3: { 0: [(0.8, 3, 0, True), (0.1, 3, 0, True), (0.1, 3, 0, True)], 1: [(0.8, 3, 0, True), (0.1, 3, 0, True), (0.1, 3, 0, True)], 2: [(0.8, 3, 0, True), (0.1, 3, 0, True), (0.1, 3, 0, True)], 3: [(0.8, 3, 0, True), (0.1, 3, 0, True), (0.1, 3, 0, True)], }, 4: { 0: [(0.8, 4, -0.04, False), (0.1, 0, -0.04, False), (0.1, 8, -0.04, False)], 1: [(0.8, 0, -0.04, False), (0.1, 4, -0.04, False), (0.1, 4, -0.04, False)], 2: [(0.8, 4, -0.04, False), (0.1, 0, -0.04, False), (0.1, 8, -0.04, False)], 3: [(0.8, 8, -0.04, False), (0.1, 4, -0.04, False), (0.1, 4, -0.04, False)], }, 6: { 0: [(0.8, 6, -0.04, False), (0.1, 2, -0.04, False), (0.1, 10, -0.04, False)], 1: [(0.8, 2, -0.04, False), (0.1, 6, -0.04, False), (0.1, 7, -1, True)], 2: [(0.8, 7, -1, True), (0.1, 2, -0.04, False), (0.1, 10, -0.04, False)], 3: [(0.8, 10, -0.04, False), (0.1, 6, -0.04, False), (0.1, 7, -1, True)], }, 7: { 0: [(0.8, 7, 0, True), (0.1, 7, 0, True), (0.1, 7, 0, True)], 1: [(0.8, 7, 0, True), (0.1, 7, 0, True), (0.1, 7, 0, True)], 2: [(0.8, 7, 0, True), (0.1, 7, 0, True), (0.1, 7, 0, True)], 3: [(0.8, 7, 0, True), (0.1, 7, 0, True), (0.1, 7, 0, True)], }, 8: { 0: [(0.8, 8, -0.04, False), (0.1, 8, -0.04, False), (0.1, 4, -0.04, False)], 1: [(0.8, 4, -0.04, False), (0.1, 8, -0.04, False), (0.1, 9, -0.04, False)], 2: [(0.8, 9, -0.04, False), (0.1, 8, -0.04, False), (0.1, 4, -0.04, False)], 3: [(0.8, 8, -0.04, False), (0.1, 8, -0.04, False), (0.1, 9, -0.04, False)], }, 9: { 0: [(0.8, 8, -0.04, False), (0.1, 9, -0.04, False), (0.1, 9, -0.04, False)], 1: [(0.8, 9, -0.04, False), (0.1, 8, -0.04, False), (0.1, 10, -0.04, False)], 2: [(0.8, 10, -0.04, False), (0.1, 9, -0.04, False), (0.1, 9, -0.04, False)], 3: [(0.8, 9, -0.04, False), (0.1, 8, -0.04, False), (0.1, 10, -0.04, False)] }, 10: { 0: [(0.8, 9, -0.04, False), (0.1, 6, -0.04, False), (0.1, 10, -0.04, False)], 1: [(0.8, 6, -0.04, False), (0.1, 9, -0.04, False), (0.1, 11, -0.04, False)], 2: [(0.8, 11, -0.04, False), (0.1, 6, -0.04, False), (0.1, 10, -0.04, False)], 3: [(0.8, 10, -0.04, False), (0.1, 9, -0.04, False), (0.1, 11, -0.04, False)] }, 11: { 0: [(0.8, 10, -0.04, False), (0.1, 7, -1, True), (0.1, 11, -0.04, False)], 1: [(0.8, 7, -1, True), (0.1, 10, -0.04, False), (0.1, 11, -0.04, False)], 2: [(0.8, 11, -0.04, False), (0.1, 7, -1, True), (0.1, 11, -0.04, False)], 3: [(0.8, 11, -0.04, False), (0.1, 11, -0.04, False), (0.1, 10, -0.04, False)] } } def seed(self, seed): np.random.seed(seed) return seed def step(self, action): d = np.random.choice([0, 1, 2], p=[0.8, 0.1, 0.1]) tr = self.transition_matrix[int(self.state)][int(action)][int(d)] prob = tr[0] self.state = int(tr[1]) reward = tr[2] is_Terminal = tr[3] return self.state, reward, is_Terminal, {} def reset(self): self.state = int(8) return self.state, False

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1

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null

0

5

1875cd4faba98b0e09e8236ab4f936faa127c91b

108

py

Python

rlgpu/utils/rl_pytorch/sac_hrl/__init__.py

cypypccpy/Isaac-ManipulaRL

11168d0a8c2db31a02ac8af8962cead64671c99b

[ "Apache-2.0" ]

26

2021-12-01T07:15:35.000Z

2022-03-21T00:57:20.000Z

rlgpu/utils/rl_pytorch/sac_hrl/__init__.py

cypypccpy/Isaac-ManipulaRL

11168d0a8c2db31a02ac8af8962cead64671c99b

[ "Apache-2.0" ]

null

rlgpu/utils/rl_pytorch/sac_hrl/__init__.py

cypypccpy/Isaac-ManipulaRL

11168d0a8c2db31a02ac8af8962cead64671c99b

[ "Apache-2.0" ]

2

2021-12-02T03:09:04.000Z

2021-12-06T22:58:54.000Z

from .storage import ReplayBeffer from .module import ActorCritic, MetaActorCritic from .sac_hrl import SAC

27

48

0.842593

14

108

6.428571

0.642857

0

0.12037

108

3

49

36

0.947368

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1

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null

0

1

0

1

0

1

0

5

1876fe67b6a0a88ef93948bab59653d3ff74a0d4

220

py

Python

model_params.py

pguzowski/xgbooster-for-hps

f2633a03e56140b23f2c9439963e30dfa20bca6b

[ "MIT" ]

null

model_params.py

pguzowski/xgbooster-for-hps

f2633a03e56140b23f2c9439963e30dfa20bca6b

[ "MIT" ]

null

model_params.py

pguzowski/xgbooster-for-hps

f2633a03e56140b23f2c9439963e30dfa20bca6b

[ "MIT" ]

null

import importlib.util spec = importlib.util.spec_from_file_location("module_name", "params/no_scale_eta_0.3.py") foo = importlib.util.module_from_spec(spec) spec.loader.exec_module(foo) model_params = foo.model_params

27.5

90

0.818182

36

220

4.666667

0.555556

0.232143

0.202381

0

0.009756

0.068182

220

7

91

31.428571

0.809756

0

0.16895

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0

1

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0

0.6

0

null

1

0

1

0

null

0

1

0

1

0

5

a18fac8f0a8aaeb178a07f544795e33df96b7e07

78

py

Python

Python/Programming Basics/Simple Calculations/06. Circle Area and Perimeter.py

teodoramilcheva/softuni-software-engineering

98dc9faa66f42570f6538fd7ef186d2bd1d39bff

[ "MIT" ]

null

Python/Programming Basics/Simple Calculations/06. Circle Area and Perimeter.py

teodoramilcheva/softuni-software-engineering

98dc9faa66f42570f6538fd7ef186d2bd1d39bff

[ "MIT" ]

null

Python/Programming Basics/Simple Calculations/06. Circle Area and Perimeter.py

teodoramilcheva/softuni-software-engineering

98dc9faa66f42570f6538fd7ef186d2bd1d39bff

[ "MIT" ]

null

import math r = float(input()) print(math.pi* r * r) print(math.pi * 2 * r)

11.142857

22

0.602564

15

78

3.133333

0.533333

0.382979

0.468085

0

0.016129

0.205128

78

6

23

13

0.741935

0

1

0

false

0

0.25

0

0.25

0.5

1

0

null

1

0

1

0

null

0

1

0

5

a1b16195494d3e7a5ed30bf9b4c75be336c60963

182

py

Python

note/Lec1/HelloTaichi.py

logic-three-body/Taichi_Course_Files

eee4f037e23af698bcf33d261ad0b54522181956

[ "MIT" ]

null

note/Lec1/HelloTaichi.py

logic-three-body/Taichi_Course_Files

eee4f037e23af698bcf33d261ad0b54522181956

[ "MIT" ]

1

2021-10-12T08:27:49.000Z

note/Lec1/HelloTaichi.py

logic-three-body/Taichi_Course_Files

eee4f037e23af698bcf33d261ad0b54522181956

[ "MIT" ]

null

import taichi as ti ti.init(arch=ti.cpu) '''python scope''' def foo(): print('Hi,Im in py') foo() '''python scope''' @ti.kernel def foo(): print('Hi,Im in taichi') foo()

11.375

28

0.598901

31

182

3.516129

0.548387

0.201835

0.238532

0.311927

0

0.186813

182

16

29

11.375

0.736486

0

0.444444

0

0.176871

0

1

0.222222

true

0

0.111111

0

0.333333

0.222222

0

null

1

0

null

0

1

0

5

a1baeb3b4efecd54e0049f121d0cff9845d1cce6

93

py

Python

adm/templates/plugins/_common/hooks/post_gen_project.py

frdcms/mfserv

82b20779ca8f8b5af39353383ff79f2018bc4f2f

[ "BSD-3-Clause" ]

11

2018-11-23T16:39:31.000Z

2021-06-01T12:44:31.000Z

adm/templates/plugins/_common/hooks/post_gen_project.py

frdcms/mfserv

82b20779ca8f8b5af39353383ff79f2018bc4f2f

[ "BSD-3-Clause" ]

315

2018-09-18T09:15:18.000Z

2022-02-25T02:02:15.000Z

adm/templates/plugins/_common/hooks/post_gen_project.py

frdcms/mfserv

82b20779ca8f8b5af39353383ff79f2018bc4f2f

[ "BSD-3-Clause" ]

7

2018-09-20T10:22:36.000Z

2019-07-31T12:09:06.000Z

#!/usr/bin/env python3 from cookiecutter_hooks import post_gen_project post_gen_project()

13.285714

47

0.817204

14

93

5.071429

0.785714

0.197183

0.394366

0

0.012048

0.107527

93

6

48

15.5

0.843373

0.225806

0

1

0

true

0

0.5

0

0.5

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1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

a1d26a0055f9f25f29162bc560987cf26b7abfb8

253

py

Python

src/loss/__init__.py

JacksonWuxs/taac2021-Video-Classification-Rank5

abecf49b95fe82d9dd47ed37e020d510b04da018

[ "MIT" ]

7

2022-02-22T03:01:59.000Z

2022-03-24T12:50:34.000Z

src/loss/__init__.py

JacksonWuxs/taac2021-Video-Classification-Rank5

abecf49b95fe82d9dd47ed37e020d510b04da018

[ "MIT" ]

null

src/loss/__init__.py

JacksonWuxs/taac2021-Video-Classification-Rank5

abecf49b95fe82d9dd47ed37e020d510b04da018

[ "MIT" ]

null

from src.loss.loss import CrossEntropyLoss from src.loss.loss import SoftmaxLoss def get_instance(name, paramters_dict): model = {'CrossEntropyLoss': CrossEntropyLoss, 'SoftmaxLoss': SoftmaxLoss}[name] return model(**paramters_dict)

36.142857

50

0.750988

28

253

6.678571

0.5

0.074866

0.117647

0.160428

0.224599

0

0.15415

253

7

51

36.142857

0.873832

0

0.106299

0

1

0.166667

false

0

0.333333

0

0.666667

0

1

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null

0

1

0

1

0

null

0

1

0

1

0

5

a1d82defb99507c932860e79b07930a96992c23e

136

py

Python

python/testData/mover/functionBlock.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/mover/functionBlock.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/mover/functionBlock.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

class A: def foo(self): pass <selection><caret>def bar(self): pass</selection> def baz(self): pass

12.363636

36

0.522059

17

136

4.176471

0.588235

0.338028

0.478873

0

0.352941

136

10

37

13.6

0.806818

0

0.285714

0

null

0.428571

0

null

0

1

0

null

1

0

null

0

1

0

1

0

5

a1f134afd908f3b7d53a1204d333a4b210bf5455

223

py

Python

pyprob/__init__.py

tuananhle7/pyprob

6a46bc43a5af9f598b44bac7a74c80949c94fcec

[ "MIT" ]

1

2018-02-11T16:32:23.000Z

pyprob/__init__.py

tuananhle7/pyprob

6a46bc43a5af9f598b44bac7a74c80949c94fcec

[ "MIT" ]

null

pyprob/__init__.py

tuananhle7/pyprob

6a46bc43a5af9f598b44bac7a74c80949c94fcec

[ "MIT" ]

1

2020-06-24T15:29:15.000Z

__version__ = '0.10.0.dev10' from pyprob.util import set_random_seed from pyprob.util import set_cuda from pyprob.util import get_config from pyprob.model import Model, RemoteModel from pyprob.state import sample, observe

27.875

43

0.825112

36

223

4.888889

0.527778

0.284091

0.238636

0.340909

0.261364

0

0.030457

0.116592

223

7

44

31.857143

0.862944

0

0.053812

0

1

0

false

0

0.833333

0

0.833333

0

null

1

0

1

0

null

0

1

0

5

b800ba966fd605c3f5ecdd1d52be0245f637dbfe

60

py

Python

edb/common/vendor/__init__.py

aeros/edgedb

db8c240d1607765799caf124a4b418250e0c0a96

[ "Apache-2.0" ]

null

edb/common/vendor/__init__.py

aeros/edgedb

db8c240d1607765799caf124a4b418250e0c0a96

[ "Apache-2.0" ]

null

edb/common/vendor/__init__.py

aeros/edgedb

db8c240d1607765799caf124a4b418250e0c0a96

[ "Apache-2.0" ]

null

# Vendored Dependencies from __future__ import annotations

15

34

0.85

6

60

7.833333

1

0

0.133333

60

3

35

20

0.903846

0.35

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

b8060cf603ab1c04bb0b73962408402418aeb1e2

110

py

Python

src/officehours_api/backends/__init__.py

vikaschanduri/remote-office-hours-queue

485b7df27a013e804c42f04612cff0d1a911c64a

[ "Apache-2.0" ]

9

2020-04-13T13:18:43.000Z

2022-03-04T21:10:58.000Z

src/officehours_api/backends/__init__.py

vikaschanduri/remote-office-hours-queue

485b7df27a013e804c42f04612cff0d1a911c64a

[ "Apache-2.0" ]

249

2020-04-11T15:34:50.000Z

2022-02-19T00:25:28.000Z

src/officehours_api/backends/__init__.py

vikaschanduri/remote-office-hours-queue

485b7df27a013e804c42f04612cff0d1a911c64a

[ "Apache-2.0" ]

7

2020-04-10T12:19:54.000Z

2021-04-25T19:42:41.000Z

from . import inperson from . import bluejeans from . import zoom __all__ = ['inperson', 'bluejeans', 'zoom']

22

43

0.718182

13

110

5.769231

0.461538

0.4

0

0.154545

110

4

44

27.5

0.806452

0

0.190909

0

1

0

false

0

0.75

0

0.75

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

62a380387f9e27071ddacd80f81bc038db34f28c

50

py

Python

python/GMatElastoPlasticFiniteStrainSimo/__init__.py

tdegeus/GMatFSElastoPlasticSimo

601041d3bd56df30dac4f4dd72e292495f73d665

[ "MIT" ]

null

python/GMatElastoPlasticFiniteStrainSimo/__init__.py

tdegeus/GMatFSElastoPlasticSimo

601041d3bd56df30dac4f4dd72e292495f73d665

[ "MIT" ]

10

2019-10-12T22:38:22.000Z

2021-08-30T07:10:00.000Z

python/GMatElastoPlasticFiniteStrainSimo/__init__.py

tdegeus/GMatFSElastoPlasticSimo

601041d3bd56df30dac4f4dd72e292495f73d665

[ "MIT" ]

null

from ._GMatElastoPlasticFiniteStrainSimo import *

25

49

0.88

3

50

14.333333

1

0

0.08

50

1

50

0.934783

0

1

0

true

0

1

0

1

0

1

0

1

null

0

1

0

null

0

1

0

1

0

5

1a145adb5a6d54fbefe60a0b39f35611b960f3b4

103

py

Python

python/testData/paramInfo/DoubleNestedArg.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/paramInfo/DoubleNestedArg.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/paramInfo/DoubleNestedArg.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

# py 2.x only def foo(a, (b, (c, d)), e): pass foo(<arg1>1, (<arg2>2, (<arg3>3, <arg4>4)), <arg5>5)

17.166667

52

0.495146

23

103

2.217391

0.913043

0

0.130952

0.184466

103

5

53

20.6

0.47619

0.106796

0

null

0.333333

0

null

0

1

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null

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0

1

0

null

0

1

0

1

0

5

a7e8967d6cb01d8761dbb2a54bf3de20575bd5df

11,909

py

Python

data/typing/geopandas.geoseries.py

pydata-apis/python-api-record

684cffbbb6dc6e81f9de4e02619c8b0ebc557b2b

[ "MIT" ]

67

2020-08-17T11:53:26.000Z

2021-11-08T20:16:06.000Z

data/typing/geopandas.geoseries.py

data-apis/python-record-api

684cffbbb6dc6e81f9de4e02619c8b0ebc557b2b

[ "MIT" ]

36

2020-08-17T11:09:51.000Z

2021-12-15T18:09:47.000Z

data/typing/geopandas.geoseries.py

pydata-apis/python-api-record

684cffbbb6dc6e81f9de4e02619c8b0ebc557b2b

[ "MIT" ]

7

2020-08-19T05:06:47.000Z

2020-11-04T05:10:38.000Z

from typing import * class GeoSeries: @overload def __getitem__(self, /, key: int): """ usage.geopandas: 1 """ ... @overload def __getitem__(self, /, key: Literal["A"]): """ usage.geopandas: 1 """ ... @overload def __getitem__(self, /, key: Literal["B"]): """ usage.geopandas: 1 """ ... @overload def __getitem__(self, /, key: Literal["C"]): """ usage.geopandas: 1 """ ... @overload def __getitem__(self, /, key: slice[None, int, None]): """ usage.geopandas: 1 """ ... @overload def __getitem__(self, /, key: pandas.core.series.Series): """ usage.geopandas: 1 """ ... @overload def __getitem__(self, /, key: List[bool]): """ usage.geopandas: 1 """ ... @overload def __getitem__(self, /, key: numpy.ndarray): """ usage.geopandas: 1 """ ... @overload def __getitem__(self, /, key: slice[int, None, int]): """ usage.geopandas: 1 """ ... @overload def __getitem__(self, /, key: slice[None, None, None]): """ usage.geopandas: 1 """ ... def __getitem__(self, /, key: object): """ usage.geopandas: 10 """ ... @overload def __init__( self, /, data: pandas.core.internals.managers.SingleBlockManager, index: None ): """ usage.geopandas: 1 """ ... @overload def __init__(self, /, data: geopandas.geoseries.GeoSeries, index: None, name: None): """ usage.geopandas: 1 """ ... @overload def __init__( self, /, data: geopandas.array.GeometryArray, index: pandas.core.indexes.range.RangeIndex, name: Literal["geometry"], ): """ usage.geopandas: 1 """ ... @overload def __init__( self, /, data: geopandas.array.GeometryArray, index: pandas.core.indexes.range.RangeIndex, name: Literal["geom"], ): """ usage.geopandas: 1 """ ... @overload def __init__( self, /, data: geopandas.array.GeometryArray, index: pandas.core.indexes.base.Index, name: None, ): """ usage.geopandas: 1 """ ... @overload def __init__(self, /, data: geopandas.array.GeometryArray, index: None, name: None): """ usage.geopandas: 1 """ ... @overload def __init__( self, /, data: geopandas.array.GeometryArray, index: pandas.core.indexes.range.RangeIndex, name: None, ): """ usage.geopandas: 1 """ ... @overload def __init__( self, /, data: geopandas.array.GeometryArray, index: pandas.core.indexes.numeric.Int64Index, dtype: geopandas.array.GeometryDtype, name: None, ): """ usage.geopandas: 1 """ ... @overload def __init__( self, /, data: geopandas.array.GeometryArray, index: pandas.core.indexes.numeric.Int64Index, name: None, fastpath: bool, ): """ usage.geopandas: 1 """ ... @overload def __init__( self, /, data: pandas.core.internals.managers.SingleBlockManager, index: None, name: Literal["myshapes"], fastpath: bool, ): """ usage.geopandas: 1 """ ... @overload def __init__( self, /, data: geopandas.array.GeometryArray, index: pandas.core.indexes.numeric.Int64Index, name: Literal["myshapes"], ): """ usage.geopandas: 1 """ ... @overload def __init__( self, /, data: geopandas.array.GeometryArray, index: pandas.core.indexes.multi.MultiIndex, name: Literal["myshapes"], ): """ usage.geopandas: 1 """ ... @overload def __init__( self, /, data: geopandas.array.GeometryArray, index: pandas.core.indexes.numeric.Int64Index, name: None, ): """ usage.geopandas: 1 """ ... @overload def __init__( self, /, data: geopandas.array.GeometryArray, index: pandas.core.indexes.range.RangeIndex, name: Literal["my_geom"], ): """ usage.geopandas: 1 """ ... @overload def __init__( self, /, data: geopandas.array.GeometryArray, index: pandas.core.indexes.multi.MultiIndex, name: None, ): """ usage.geopandas: 1 """ ... @overload def __init__( self, /, data: geopandas.array.GeometryArray, index: pandas.core.indexes.base.Index, name: Literal["foo"], ): """ usage.geopandas: 1 """ ... @overload def __init__( self, /, data: geopandas.array.GeometryArray, index: pandas.core.indexes.numeric.Int64Index, dtype: geopandas.array.GeometryDtype, name: Literal["geometry"], ): """ usage.geopandas: 1 """ ... @overload def __init__( self, /, data: geopandas.array.GeometryArray, index: pandas.core.indexes.numeric.Int64Index, name: Literal["tt"], ): """ usage.geopandas: 1 """ ... @overload def __init__( self, /, data: pandas.core.internals.managers.SingleBlockManager, index: None, name: Literal["geometry"], fastpath: bool, ): """ usage.geopandas: 1 """ ... @overload def __init__( self, /, data: geopandas.array.GeometryArray, index: pandas.core.indexes.numeric.Int64Index, name: Literal["geometry"], ): """ usage.geopandas: 1 """ ... @overload def __init__( self, /, data: pandas.core.internals.managers.SingleBlockManager, index: None, name: None, fastpath: bool, ): """ usage.geopandas: 1 """ ... def __init__( self, /, data: Union[ pandas.core.internals.managers.SingleBlockManager, geopandas.geoseries.GeoSeries, geopandas.array.GeometryArray, ], index: Union[ None, pandas.core.indexes.multi.MultiIndex, pandas.core.indexes.range.RangeIndex, pandas.core.indexes.base.Index, pandas.core.indexes.numeric.Int64Index, ], dtype: geopandas.array.GeometryDtype = ..., name: Union[None, str] = ..., fastpath: bool = ..., ): """ usage.geopandas: 21 """ ... @overload def align(self, /, other: geopandas.geoseries.GeoSeries): """ usage.geopandas: 5 """ ... @overload def align(self, /, other: pandas.core.series.Series): """ usage.geopandas: 1 """ ... def align( self, /, other: Union[pandas.core.series.Series, geopandas.geoseries.GeoSeries] ): """ usage.geopandas: 6 """ ... def all(self, /): """ usage.geopandas: 3 """ ... def any(self, /): """ usage.geopandas: 3 """ ... def apply(self, /, func: Callable, args: Tuple[None, ...]): """ usage.geopandas: 4 """ ... @overload def astype(self, /, dtype: Type[int]): """ usage.geopandas: 1 """ ... @overload def astype(self, /, dtype: Type[str]): """ usage.geopandas: 1 """ ... @overload def astype(self, /, dtype: Type[object]): """ usage.geopandas: 1 """ ... def astype(self, /, dtype: type): """ usage.geopandas: 3 """ ... def copy(self, /): """ usage.geopandas: 17 """ ... def drop_duplicates(self, /): """ usage.geopandas: 1 """ ... def dropna(self, /): """ usage.geopandas: 3 """ ... @overload def fillna( self, /, value: shapely.geometry.base.BaseGeometry, method: None, inplace: bool ): """ usage.geopandas: 1 """ ... @overload def fillna( self, /, value: shapely.geometry.point.Point, method: None, inplace: bool ): """ usage.geopandas: 1 """ ... @overload def fillna(self, /, value: float, method: None, inplace: bool): """ usage.geopandas: 1 """ ... def fillna( self, /, value: Union[ float, shapely.geometry.base.BaseGeometry, shapely.geometry.point.Point ], method: None, inplace: bool, ): """ usage.geopandas: 3 """ ... def groupby(self, /, by: Callable): """ usage.geopandas: 1 """ ... def head(self, /): """ usage.geopandas: 1 """ ... def idxmax(self, /): """ usage.geopandas: 1 """ ... def isna(self, /): """ usage.geopandas: 1 """ ... def iteritems(self, /): """ usage.geopandas: 1 """ ... def max(self, /): """ usage.geopandas: 1 """ ... def notna(self, /): """ usage.geopandas: 1 """ ... def reindex(self, /, index: List[int]): """ usage.geopandas: 2 """ ... @overload def reset_index(self, /, level: int): """ usage.geopandas: 1 """ ... @overload def reset_index(self, /): """ usage.geopandas: 1 """ ... def reset_index(self, /, level: int = ...): """ usage.geopandas: 2 """ ... def sort_index(self, /): """ usage.geopandas: 1 """ ... def sum(self, /): """ usage.geopandas: 1 """ ... def tail(self, /): """ usage.geopandas: 1 """ ... @overload def take(self, /, indices: numpy.ndarray, axis: int): """ usage.geopandas: 1 """ ... @overload def take(self, /, indices: numpy.ndarray): """ usage.geopandas: 1 """ ... @overload def take(self, /, indices: List[int]): """ usage.geopandas: 1 """ ... def take(self, /, indices: Union[List[int], numpy.ndarray], axis: int = ...): """ usage.geopandas: 3 """ ... def tolist(self, /): """ usage.geopandas: 1 """ ... def unique(self, /): """ usage.geopandas: 1 """ ... def value_counts(self, /): """ usage.geopandas: 1 """ ... def where(self, /, cond: numpy.ndarray): """ usage.geopandas: 1 """ ...

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c508c55b830bb37b55d3eed306273eb9bf3922c7

123

py

Python

PredRadDATA/setup.py

klocey/DiversityTools

d3d27b2d3d4e0fe6a1a312f4f86c79d993cc1f96

[ "MIT" ]

1

2021-03-17T10:32:12.000Z

PredRadDATA/setup.py

klocey/DiversityTools

d3d27b2d3d4e0fe6a1a312f4f86c79d993cc1f96

[ "MIT" ]

null

PredRadDATA/setup.py

klocey/DiversityTools

d3d27b2d3d4e0fe6a1a312f4f86c79d993cc1f96

[ "MIT" ]

1

2021-03-18T08:47:37.000Z

from distutils.core import setup from Cython.Build import cythonize setup(ext_modules = cythonize("PredRadDATA_ALL.pyx"))

24.6

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5

c50c76135c49b833f1a7c50ceb7f093b2d30be73

87

py

Python

pythonforandroid/recipes/android/src/android/__init__.py

Joreshic/python-for-android

c60e02d2e32e31a3a754838c51e9242cbadcd9e8

[ "MIT" ]

38

2016-03-09T08:48:19.000Z

2021-11-28T15:31:22.000Z

pythonforandroid/recipes/android/src/android/__init__.py

Joreshic/python-for-android

c60e02d2e32e31a3a754838c51e9242cbadcd9e8

[ "MIT" ]

4

2020-07-17T01:37:37.000Z

2020-07-21T14:21:08.000Z

pythonforandroid/recipes/android/src/android/__init__.py

Joreshic/python-for-android

c60e02d2e32e31a3a754838c51e9242cbadcd9e8

[ "MIT" ]

18

2016-07-13T17:30:05.000Z

2022-02-22T07:04:33.000Z

''' Android module ============== ''' # legacy import from android._android import *

9.666667

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true

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null

0

1

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1

0

1

0

5

c50f2589820a4ea4d5217c58f84cb06f747c3837

6,486

py

Python

silo/benchmarks/results/istc3-8-1-13_log_reduce_size_nofsync.py

anshsarkar/TailBench

25845756aee9a892229c25b681051591c94daafd

[ "MIT" ]

274

2015-01-23T16:24:09.000Z

2022-02-22T03:16:14.000Z

silo/benchmarks/results/istc3-8-1-13_log_reduce_size_nofsync.py

anshsarkar/TailBench

25845756aee9a892229c25b681051591c94daafd

[ "MIT" ]

3

2015-03-17T11:52:36.000Z

2019-07-22T23:04:25.000Z

silo/benchmarks/results/istc3-8-1-13_log_reduce_size_nofsync.py

anshsarkar/TailBench

25845756aee9a892229c25b681051591c94daafd

[ "MIT" ]

94

2015-01-07T06:55:36.000Z

2022-01-22T08:14:15.000Z

RESULTS = [({'scale_factor': 1, 'db': 'ndb-proto2', 'par_load': False, 'threads': 1, 'bench_opts': '', 'log_fake_writes': False, 'retry': False, 'log_nofsync': True, 'name': 'scale_tpcc', 'bench': 'tpcc', 'numa_memory': '4G', 'persist': True}, [(27871.4, 27871.4, 0.0357607, 81.8997, 0.0), (29390.7, 29390.7, 0.0338998, 82.0619, 0.0), (28280.2, 28280.2, 0.0352519, 82.0879, 0.0)]), ({'scale_factor': 4, 'db': 'ndb-proto2', 'par_load': False, 'threads': 4, 'bench_opts': '', 'log_fake_writes': False, 'retry': False, 'log_nofsync': True, 'name': 'scale_tpcc', 'bench': 'tpcc', 'numa_memory': '16G', 'persist': True}, [(107300.0, 107300.0, 0.0371596, 96.2916, 4.61302), (106620.0, 106620.0, 0.037399, 95.1791, 4.31287), (104450.0, 104450.0, 0.0381691, 94.9936, 4.39564)]), ({'scale_factor': 8, 'db': 'ndb-proto2', 'par_load': False, 'threads': 8, 'bench_opts': '', 'log_fake_writes': False, 'retry': False, 'log_nofsync': True, 'name': 'scale_tpcc', 'bench': 'tpcc', 'numa_memory': '32G', 'persist': True}, [(198942.0, 198942.0, 0.0400843, 110.726, 8.97438), (199131.0, 199131.0, 0.0400565, 105.12, 8.5101), (200443.0, 200443.0, 0.0397906, 103.181, 7.71011)]), ({'scale_factor': 12, 'db': 'ndb-proto2', 'par_load': False, 'threads': 12, 'bench_opts': '', 'log_fake_writes': False, 'retry': False, 'log_nofsync': True, 'name': 'scale_tpcc', 'bench': 'tpcc', 'numa_memory': '48G', 'persist': True}, [(299454.0, 299454.0, 0.0399389, 109.416, 12.6518), (299527.0, 299527.0, 0.0399373, 115.718, 12.2231), (300443.0, 300443.0, 0.0398378, 106.138, 12.145)]), ({'scale_factor': 16, 'db': 'ndb-proto2', 'par_load': False, 'threads': 16, 'bench_opts': '', 'log_fake_writes': False, 'retry': False, 'log_nofsync': True, 'name': 'scale_tpcc', 'bench': 'tpcc', 'numa_memory': '64G', 'persist': True}, [(391388.0, 391388.0, 0.0407652, 124.563, 15.2232), (394657.0, 394657.0, 0.0404256, 130.43, 15.0728), (396611.0, 396611.0, 0.0402169, 136.605, 16.1692)]), ({'scale_factor': 20, 'db': 'ndb-proto2', 'par_load': False, 'threads': 20, 'bench_opts': '', 'log_fake_writes': False, 'retry': False, 'log_nofsync': True, 'name': 'scale_tpcc', 'bench': 'tpcc', 'numa_memory': '80G', 'persist': True}, [(498099.0, 498099.0, 0.0400256, 134.432, 21.216), (488264.0, 488264.0, 0.0408347, 133.72, 20.5144), (495505.0, 495505.0, 0.0402241, 150.323, 21.0244)]), ({'scale_factor': 24, 'db': 'ndb-proto2', 'par_load': False, 'threads': 24, 'bench_opts': '', 'log_fake_writes': False, 'retry': False, 'log_nofsync': True, 'name': 'scale_tpcc', 'bench': 'tpcc', 'numa_memory': '96G', 'persist': True}, [(584701.0, 584701.0, 0.0409133, 102.95, 23.1438), (586412.0, 586412.0, 0.0407895, 99.3766, 22.822), (589676.0, 589676.0, 0.0405919, 99.7467, 22.6878)]), ({'scale_factor': 28, 'db': 'ndb-proto2', 'par_load': False, 'threads': 28, 'bench_opts': '', 'log_fake_writes': False, 'retry': False, 'log_nofsync': True, 'name': 'scale_tpcc', 'bench': 'tpcc', 'numa_memory': '112G', 'persist': True}, [(675436.0, 675436.0, 0.0413229, 105.453, 28.0404), (660534.0, 660534.0, 0.0422653, 103.337, 27.3102), (679870.0, 679870.0, 0.0410626, 101.341, 28.1444)]), ({'scale_factor': 32, 'db': 'ndb-proto2', 'par_load': False, 'threads': 32, 'bench_opts': '', 'log_fake_writes': False, 'retry': False, 'log_nofsync': True, 'name': 'scale_tpcc', 'bench': 'tpcc', 'numa_memory': '128G', 'persist': True}, [(711674.0, 711674.0, 0.0448229, 216.884, 28.8772), (715904.0, 715904.0, 0.0445292, 279.838, 29.7625), (725241.0, 725241.0, 0.0439786, 315.067, 29.7777)]), ({'par_load': False, 'bench_opts': '', 'retry': False, 'scale_factor': 1, 'name': 'scale_tpcc', 'numa_memory': '4G', 'persist': False, 'threads': 1, 'db': 'ndb-proto2', 'bench': 'tpcc'}, [(30286.9, 30286.9, 0.0329245, 0.0, 0.0), (30753.4, 30753.4, 0.0324305, 0.0, 0.0), (31151.2, 31151.2, 0.0320159, 0.0, 0.0)]), ({'par_load': False, 'bench_opts': '', 'retry': False, 'scale_factor': 4, 'name': 'scale_tpcc', 'numa_memory': '16G', 'persist': False, 'threads': 4, 'db': 'ndb-proto2', 'bench': 'tpcc'}, [(112481.0, 112481.0, 0.0354717, 0.0, 5.06663), (111014.0, 111014.0, 0.0359431, 0.0, 5.14995), (112559.0, 112559.0, 0.035451, 0.0, 4.39996)]), ({'par_load': False, 'bench_opts': '', 'retry': False, 'scale_factor': 8, 'name': 'scale_tpcc', 'numa_memory': '32G', 'persist': False, 'threads': 8, 'db': 'ndb-proto2', 'bench': 'tpcc'}, [(209400.0, 209400.0, 0.0381135, 0.0, 9.3166), (209405.0, 209405.0, 0.0381132, 0.0, 9.03321), (214395.0, 214395.0, 0.0372271, 0.0, 9.49995)]), ({'par_load': False, 'bench_opts': '', 'retry': False, 'scale_factor': 12, 'name': 'scale_tpcc', 'numa_memory': '48G', 'persist': False, 'threads': 12, 'db': 'ndb-proto2', 'bench': 'tpcc'}, [(317759.0, 317759.0, 0.0376752, 0.0, 13.5665), (319487.0, 319487.0, 0.0374694, 0.0, 13.5165), (323316.0, 323316.0, 0.0370279, 0.0, 13.9331)]), ({'par_load': False, 'bench_opts': '', 'retry': False, 'scale_factor': 16, 'name': 'scale_tpcc', 'numa_memory': '64G', 'persist': False, 'threads': 16, 'db': 'ndb-proto2', 'bench': 'tpcc'}, [(420957.0, 420957.0, 0.0379212, 0.0, 18.2664), (419207.0, 419207.0, 0.0380766, 0.0, 18.8332), (421561.0, 421561.0, 0.0378607, 0.0, 17.6499)]), ({'par_load': False, 'bench_opts': '', 'retry': False, 'scale_factor': 20, 'name': 'scale_tpcc', 'numa_memory': '80G', 'persist': False, 'threads': 20, 'db': 'ndb-proto2', 'bench': 'tpcc'}, [(526460.0, 526460.0, 0.0378989, 0.0, 22.0331), (529197.0, 529197.0, 0.0377043, 0.0, 23.7497), (533214.0, 533214.0, 0.0374174, 0.0, 22.3831)]), ({'par_load': False, 'bench_opts': '', 'retry': False, 'scale_factor': 24, 'name': 'scale_tpcc', 'numa_memory': '96G', 'persist': False, 'threads': 24, 'db': 'ndb-proto2', 'bench': 'tpcc'}, [(625632.0, 625632.0, 0.0382689, 0.0, 26.5161), (631692.0, 631692.0, 0.0378988, 0.0, 26.8828), (622284.0, 622284.0, 0.038478, 0.0, 26.9162)]), ({'par_load': False, 'bench_opts': '', 'retry': False, 'scale_factor': 28, 'name': 'scale_tpcc', 'numa_memory': '112G', 'persist': False, 'threads': 28, 'db': 'ndb-proto2', 'bench': 'tpcc'}, [(728676.0, 728676.0, 0.0383326, 0.0, 30.5828), (731237.0, 731237.0, 0.0382001, 0.0, 32.2995), (724542.0, 724542.0, 0.0385532, 0.0, 32.4161)]), ({'par_load': False, 'bench_opts': '', 'retry': False, 'scale_factor': 32, 'name': 'scale_tpcc', 'numa_memory': '128G', 'persist': False, 'threads': 32, 'db': 'ndb-proto2', 'bench': 'tpcc'}, [(783983.0, 783983.0, 0.0407091, 0.0, 35.0656), (782308.0, 782308.0, 0.040797, 0.0, 33.7652), (715915.0, 715915.0, 0.0445905, 0.0, 31.1658)])]

3,243

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3.750474

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null

0

5

c51d7cbba7ce63ceb1e8a6df4d5ebdf2f29c41ae

35

py

Python

xl_helper/artifacts/server/ServerDist.py

xebialabs-community/xld-install-helper

a61baa9fabc6484afa5fd287a25fc6fb88d84670

[ "MIT" ]

null

xl_helper/artifacts/server/ServerDist.py

xebialabs-community/xld-install-helper

a61baa9fabc6484afa5fd287a25fc6fb88d84670

[ "MIT" ]

null

xl_helper/artifacts/server/ServerDist.py

xebialabs-community/xld-install-helper

a61baa9fabc6484afa5fd287a25fc6fb88d84670

[ "MIT" ]

2

2016-12-27T12:12:09.000Z

2020-09-24T18:06:58.000Z

class ServerDist(object): pass

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null

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5

c51f95ab6a1deda9ad4b48e27c550f919af9bca7

6,832

py

Python

tests/test_core.py

jonhealy1/stac-validator

5e73c1e4488fa957eb1071d60855c9f12539ef2c

[ "Apache-2.0" ]

null

tests/test_core.py

jonhealy1/stac-validator

5e73c1e4488fa957eb1071d60855c9f12539ef2c

[ "Apache-2.0" ]

null

tests/test_core.py

jonhealy1/stac-validator

5e73c1e4488fa957eb1071d60855c9f12539ef2c

[ "Apache-2.0" ]

null

""" Description: Test the validator for core functionality without validating extensions """ __authors__ = "James Banting", "Jonathan Healy" from stac_validator import stac_validator def test_core_collection_local_v070(): stac_file = "tests/test_data/v070/collections/sentinel2.json" stac = stac_validator.StacValidate(stac_file, core=True) stac.run() assert stac.message == [ { "version": "0.7.0", "path": "tests/test_data/v070/collections/sentinel2.json", "schema": ["https://cdn.staclint.com/v0.7.0/collection.json"], "valid_stac": True, "asset_type": "COLLECTION", "validation_method": "core", } ] def test_core_item_local_v070(): stac_file = "tests/test_data/v070/items/sample-full.json" stac = stac_validator.StacValidate(stac_file, core=True) stac.run() assert stac.message == [ { "version": "", "path": "tests/test_data/v070/items/sample-full.json", "schema": [""], "valid_stac": False, "error_type": "KeyError", "error_message": "'stac_version'", } ] def test_core_item_local_v080(): stac_file = "tests/test_data/v080/items/sample-full.json" stac = stac_validator.StacValidate(stac_file, core=True) stac.run() assert stac.message == [ { "version": "0.8.0", "path": "tests/test_data/v080/items/sample-full.json", "asset_type": "ITEM", "validation_method": "core", "schema": ["https://cdn.staclint.com/v0.8.0/item.json"], "valid_stac": True, } ] def test_core_collection_remote_v090(): stac_file = "https://raw.githubusercontent.com/stac-utils/pystac/main/tests/data-files/examples/0.9.0/collection-spec/examples/landsat-collection.json" stac = stac_validator.StacValidate(stac_file, core=True) stac.run() assert stac.message == [ { "version": "0.9.0", "path": "https://raw.githubusercontent.com/stac-utils/pystac/main/tests/data-files/examples/0.9.0/collection-spec/examples/landsat-collection.json", "schema": ["https://cdn.staclint.com/v0.9.0/collection.json"], "asset_type": "COLLECTION", "validation_method": "core", "valid_stac": True, } ] def test_core_item_local_v090(): stac_file = "tests/test_data/v090/items/good_item_v090.json" stac = stac_validator.StacValidate(stac_file, core=True) stac.run() assert stac.message == [ { "version": "0.9.0", "path": "tests/test_data/v090/items/good_item_v090.json", "schema": ["https://cdn.staclint.com/v0.9.0/item.json"], "asset_type": "ITEM", "validation_method": "core", "valid_stac": True, } ] def test_core_item_local_extensions_v090(): stac_file = "tests/test_data/v090/items/CBERS_4.json" stac = stac_validator.StacValidate(stac_file, core=True) stac.run() assert stac.message == [ { "version": "0.9.0", "path": "tests/test_data/v090/items/CBERS_4.json", "schema": ["https://cdn.staclint.com/v0.9.0/item.json"], "asset_type": "ITEM", "validation_method": "core", "valid_stac": True, } ] def test_core_bad_item_local_v090(): stac_file = "tests/test_data/bad_data/bad_item_v090.json" stac = stac_validator.StacValidate(stac_file, core=True) stac.run() assert stac.message == [ { "version": "0.9.0", "path": "tests/test_data/bad_data/bad_item_v090.json", "asset_type": "ITEM", "validation_method": "core", "schema": ["https://cdn.staclint.com/v0.9.0/item.json"], "valid_stac": False, "error_type": "ValidationError", "error_message": "'id' is a required property of the root of the STAC object", } ] def test_core_v1beta1(): stac_file = "tests/test_data/1beta1/sentinel2.json" stac = stac_validator.StacValidate(stac_file, core=True) stac.run() assert stac.message == [ { "version": "1.0.0-beta.1", "path": "tests/test_data/1beta1/sentinel2.json", "schema": ["https://cdn.staclint.com/v1.0.0-beta.1/collection.json"], "asset_type": "COLLECTION", "validation_method": "core", "valid_stac": True, } ] def test_core_item_local_v1beta2(): stac_file = "tests/test_data/1beta2/stac_item.json" stac = stac_validator.StacValidate(stac_file, core=True) stac.run() assert stac.message == [ { "version": "1.0.0-beta.2", "path": "tests/test_data/1beta2/stac_item.json", "schema": [ "https://schemas.stacspec.org/v1.0.0-beta.2/item-spec/json-schema/item.json" ], "asset_type": "ITEM", "validation_method": "core", "valid_stac": True, } ] def test_core_item_local_v1rc1(): stac_file = "tests/test_data/1rc1/collectionless-item.json" stac = stac_validator.StacValidate(stac_file, core=True) stac.run() assert stac.message == [ { "version": "1.0.0-rc.1", "path": "tests/test_data/1rc1/collectionless-item.json", "schema": [ "https://schemas.stacspec.org/v1.0.0-rc.1/item-spec/json-schema/item.json" ], "asset_type": "ITEM", "validation_method": "core", "valid_stac": True, } ] def test_core_collection_local_v1rc1(): stac_file = "tests/test_data/1rc1/collection.json" stac = stac_validator.StacValidate(stac_file, core=True) stac.run() assert stac.message == [ { "version": "1.0.0-rc.1", "path": "tests/test_data/1rc1/collection.json", "schema": [ "https://schemas.stacspec.org/v1.0.0-rc.1/collection-spec/json-schema/collection.json" ], "asset_type": "COLLECTION", "validation_method": "core", "valid_stac": True, } ] def test_core_item_local_v100(): stac_file = "tests/test_data/v100/extended-item.json" stac = stac_validator.StacValidate(stac_file, core=True) stac.run() assert stac.message == [ { "version": "1.0.0", "path": "tests/test_data/v100/extended-item.json", "schema": [ "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json" ], "valid_stac": True, "asset_type": "ITEM", "validation_method": "core", } ]

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