xszheng2020/the_stack_dedup_python_hits_4 · Datasets at Hugging Face

c0dc71d40fe6793107f420d3ed2c921caf0414ee

708

py

Python

core/topology/constraint/any.py

xUndero/noc

9fb34627721149fcf7064860bd63887e38849131

[ "BSD-3-Clause" ]

null

core/topology/constraint/any.py

xUndero/noc

9fb34627721149fcf7064860bd63887e38849131

[ "BSD-3-Clause" ]

null

core/topology/constraint/any.py

xUndero/noc

9fb34627721149fcf7064860bd63887e38849131

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- # ---------------------------------------------------------------------- # AnyConstraint # ---------------------------------------------------------------------- # Copyright (C) 2007-2019 The NOC Project # See LICENSE for details # ---------------------------------------------------------------------- # Python modules from __future__ import absolute_import # NOC modules from .base import BaseConstraint class AnyConstraint(BaseConstraint): """ Always true """ def __and__(self, other): # type: (BaseConstraint) -> BaseConstraint return other def __or__(self, other): # type: (BaseConstraint) -> BaseConstraint return other

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6.117647

0.647059

0.070513

0.083333

0.173077

0.333333

0

0.015385

0.173729

708

27

73

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0.517949

0.612994

0

0.285714

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false

0

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0

null

0

1

0

null

0

1

0

1

0

4

c0e6a420987cdd65242cca82ad135a8af522d643

536

py

Python

LakshmiErrors.py

jakenjarvis/Lakshmi

de805f7488c1a6b3a4e0d3804be7ecd6c814b446

[ "Apache-2.0" ]

1

2020-08-24T01:31:20.000Z

LakshmiErrors.py

jakenjarvis/Lakshmi

de805f7488c1a6b3a4e0d3804be7ecd6c814b446

[ "Apache-2.0" ]

null

LakshmiErrors.py

jakenjarvis/Lakshmi

de805f7488c1a6b3a4e0d3804be7ecd6c814b446

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- from discord.ext.commands.errors import CommandError class PermissionNotFoundException(Exception): pass class ArgumentOutOfRangeException(CommandError): pass class SubcommandNotFoundException(CommandError): pass class UnsupportedSitesException(CommandError): pass class NotCallOfCthulhuInvestigatorException(CommandError): pass class CharacterNotFoundException(CommandError): pass class ImageNotFoundException(CommandError): pass

21.44

59

0.759328

42

536

9.690476

0.571429

0.132678

0.257985

0

0.004494

0.169776

536

24

60

22.333333

0.910112

0.080224

0

0.466667

0

1

0

true

0.466667

0.066667

0

0.533333

0

null

0

1

0

null

0

1

0

1

0

4

c0ee7d130a218d7c15ca1fedb0b3e75ccb1cdad6

558

py

Python

tests/test_242.py

sungho-joo/leetcode2github

ce7730ef40f6051df23681dd3c0e1e657abba620

[ "MIT" ]

null

tests/test_242.py

sungho-joo/leetcode2github

ce7730ef40f6051df23681dd3c0e1e657abba620

[ "MIT" ]

null

tests/test_242.py

sungho-joo/leetcode2github

ce7730ef40f6051df23681dd3c0e1e657abba620

[ "MIT" ]

null

#!/usr/bin/env python import pytest """ Test 242. Valid Anagram """ @pytest.fixture(scope="session") def init_variables_242(): from src.leetcode_242_valid_anagram import Solution solution = Solution() def _init_variables_242(): return solution yield _init_variables_242 class TestClass242: def test_solution_0(self, init_variables_242): assert init_variables_242().isAnagram("anagram", "nagaram") def test_solution_1(self, init_variables_242): assert not init_variables_242().isAnagram("rat", "car")

19.928571

67

0.718638

71

558

5.323944

0.464789

0.240741

0.296296

0.100529

0.137566

0

0.069717

0.177419

558

27

68

20.666667

0.753813

0.035842

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0.307692

false

0

0.153846

0.076923

0.615385

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null

1

0

null

0

1

0

1

0

4

8d0d0a6d9853d79e0efa2eb755b8ebc3b2a95b38

181

py

Python

python3/koans/test.py

MichelML/python_koans_solution

941e69d3b3f835bb3108222cb41bf7092920ea07

[ "MIT" ]

null

python3/koans/test.py

MichelML/python_koans_solution

941e69d3b3f835bb3108222cb41bf7092920ea07

[ "MIT" ]

null

python3/koans/test.py

MichelML/python_koans_solution

941e69d3b3f835bb3108222cb41bf7092920ea07

[ "MIT" ]

null

stages = iter(['alpha','beta','gamma']) try: next(stages) next(stages) next(stages) next(stages) except StopIteration as ex: err_msg = 'Ran out of iterations'

16.454545

39

0.635359

24

181

4.75

0.708333

0.350877

0.368421

0.526316

0.350877

0

0.220994

181

10

40

18.1

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0

0.5

0

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0

false

0

1

0

null

1

0

null

0

4

23a4e912e859766af2b13f48d019a8c3e99aabf8

23,095

py

Python

tests/test_grades.py

sglavoie/uol-grades-calculator

54f812bbcedb48adf9368271ebba491759cf4e40

[ "MIT" ]

4

2021-03-01T02:14:18.000Z

2022-01-01T01:52:58.000Z

tests/test_grades.py

sglavoie/uol-grades-calculator

54f812bbcedb48adf9368271ebba491759cf4e40

[ "MIT" ]

28

2021-02-20T00:19:35.000Z

2022-01-30T17:25:25.000Z

tests/test_grades.py

sglavoie/uol-grades-calculator

54f812bbcedb48adf9368271ebba491759cf4e40

[ "MIT" ]

1

2020-10-08T17:47:46.000Z

""" Test grades.py """ # Standard library imports from unittest.mock import patch # Third-party library imports import pytest class TestDataIsRetrievedCorrectly: @staticmethod def test_count_finished_modules(local_grades): with patch.dict( local_grades.data, { "Module 1": {"module_score": 100, "level": 4}, "Module 2": {"module_score": 0, "level": 4}, "Module 3": {"module_score": 80, "level": 4}, "Module 4": {"module_score": 75.5, "level": 4}, "Module 6": {"module_score": -1, "level": 4}, "Module 5": {"level": 4}, "Module 7": {}, }, clear=True, ): # All are valid except `Module 5` which doesn't have a score # `0` means FAILED, `-1` means we got recognition of prior learning assert local_grades.get_num_of_finished_modules() == 5 @staticmethod def test_get_list_of_finished_modules(local_grades): expected_list = [ {"Module 1": {"module_score": 100, "level": 4}}, {"Module 2": {"module_score": -1, "level": 4}}, {"Module 3": {"module_score": 80, "level": 4}}, {"Module 4": {"module_score": 75.5, "level": 5}}, {"Module 5": {"module_score": 0, "level": 4}}, ] with patch.dict( local_grades.data, { "Module 1": {"module_score": 100, "level": 4}, "Module 2": {"module_score": -1, "level": 4}, "Module 3": {"module_score": 80, "level": 4}, "Module 4": {"module_score": 75.5, "level": 5}, "Module 5": {"module_score": 0, "level": 4}, "Module 6": {"level": 4}, "Module 7": {}, }, clear=True, ): # `0` means the module was FAILED. `-1` means the module was # not taken but has been recognized through prior learning, so # it is also considered done. assert local_grades.get_list_of_finished_modules() == expected_list @staticmethod def test_get_list_of_modules_in_progress(local_grades): local_grades.data["Algorithms and Data Structures I"] = { "final_score": 65, "final_weight": 70, "midterm_score": 79, "midterm_weight": 30, "module_score": None, "level": 4, } local_grades.data["Agile Software Projects"] = { "final_score": None, "final_weight": 70, "midterm_score": 60, "midterm_weight": 30, "module_score": None, "level": 5, } local_grades.data["Algorithms and Data Structures II"] = { "final_score": None, "final_weight": 50, "midterm_score": 75, "midterm_weight": 50, "module_score": None, "level": 5, } expected_list = [ { "Algorithms and Data Structures I": { "final_score": 65, "final_weight": 70, "midterm_score": 79, "midterm_weight": 30, "level": 4, } }, { "Agile Software Projects": { "midterm_score": 60, "midterm_weight": 30, "level": 5, } }, { "Algorithms and Data Structures II": { "midterm_score": 75, "midterm_weight": 50, "level": 5, } }, ] assert local_grades.get_list_of_modules_in_progress() == expected_list @staticmethod def test_get_scores_of_modules_in_progress(local_grades): local_grades.data["Algorithms and Data Structures I"] = { "final_score": 65, "final_weight": 70, "midterm_score": 79, "midterm_weight": 30, "module_score": None, "level": 4, } local_grades.data["Agile Software Projects"] = { "final_score": None, "final_weight": 70, "midterm_score": 60, "midterm_weight": 30, "module_score": None, "level": 5, } local_grades.data["Algorithms and Data Structures II"] = { "final_score": None, "final_weight": 50, "midterm_score": 75, "midterm_weight": 50, "module_score": None, "level": 5, } results = local_grades.get_scores_of_modules_in_progress() assert results == [69.2, 60, 75] @staticmethod def test_get_module_scores_of_finished_modules(local_grades): expected_list = [100, 80, 75.5, 0] with patch.dict( local_grades.data, { "Module 1": {"module_score": 100, "level": 4}, "Module 3": {"module_score": 80, "level": 4}, "Module 4": {"module_score": 75.5, "level": 4}, "Module 6": {"module_score": 0, "level": 4}, "Module 2": {"module_score": -1}, "Module 5": {"level": 4}, "Module 7": {}, }, clear=True, ): assert ( local_grades.get_module_scores_of_finished_modules() == expected_list ) class TestDataIsCalculatedWell: @staticmethod def test_unweighted_average(local_grades): with patch.dict( local_grades.data, { "Module 1": {"module_score": 100, "level": 4}, "Module 2": {"module_score": -1, "level": 5}, "Module 3": {"module_score": 80, "level": 6}, "Module 4": {"module_score": 79.7, "level": 4}, "Module 5": {"level": 4}, "Module 6": {"module_score": 0}, "Module 7": {}, }, clear=True, ): assert local_grades.unweighted_average == 86.57 with patch.dict( local_grades.data, { "Module 1": {"module_score": 97.23, "level": 4}, "Module 2": {"module_score": 93.58, "level": 4}, "Module 3": {"module_score": 91.11, "level": 4}, "Module 4": {}, "Module 5": {"level": 4}, }, clear=True, ): assert local_grades.unweighted_average == 93.97 with patch.dict( local_grades.data, {}, clear=True, ): assert local_grades.unweighted_average == 0 @staticmethod def test_weighted_average( local_grades, ): with patch.dict( local_grades.data, { "Module 1": {"module_score": 100, "level": 4}, "Module 2": {"module_score": -1, "level": 4}, "Module 3": {"module_score": 80}, "Module 4": {"module_score": 79.7, "level": 5}, "Module 5": {"level": 4}, "Module 6": {"module_score": 0}, "Module 7": {}, }, clear=True, ): # skip module 3: `level` is expected assert local_grades.weighted_average == 84.78 with patch.dict( local_grades.data, { "Module 1": {"module_score": 97.23, "level": 4}, "Module 2": {"module_score": 93.58, "level": 5}, "Module 3": {"module_score": 91.11, "level": 6}, "Module 4": {}, "Module 5": {"level": 4}, }, clear=True, ): assert local_grades.weighted_average == 92.61 with patch.dict( local_grades.data, { "Module 1": {"module_score": 97.23, "level": 4}, "Module 2": {"module_score": 93.58, "level": 5}, "Final Project": {"module_score": 89, "level": 6}, "Module 4": {}, "Module 5": {"level": 4}, }, clear=True, ): # weight of "Final Project" is twice that of another module level 6 # (97.23 + 93.58 * 3 + 89 * 10) / 14 assert local_grades.weighted_average == 90.57 with patch.dict( local_grades.data, {}, clear=True, ): assert local_grades.weighted_average == 0 @staticmethod def test_calculate_unweighted_average_in_progress( local_grades, ): # in progress: [69.2, 60, 75] local_grades.data["Algorithms and Data Structures I"] = { "final_score": 65, "final_weight": 70, "midterm_score": 79, "midterm_weight": 30, "module_score": None, "level": 4, } local_grades.data["Agile Software Projects"] = { "final_score": None, "final_weight": 70, "midterm_score": 60, "midterm_weight": 30, "module_score": None, "level": 5, } local_grades.data["Algorithms and Data Structures II"] = { "final_score": None, "final_weight": 50, "midterm_score": 75, "midterm_weight": 50, "module_score": None, "level": 5, } # finished : [80, 82, 85] local_grades.data["How Computers Work"] = { "final_score": None, "final_weight": 50, "midterm_score": 60, "midterm_weight": 50, "module_score": 80, "level": 4, } local_grades.data["Introduction to Programming I"] = { "final_score": 80, "final_weight": 50, "midterm_score": 60, "midterm_weight": 50, "module_score": 82, "level": 4, } local_grades.data["Computational Mathematics"] = { "final_score": 80, "final_weight": 50, "midterm_score": None, "midterm_weight": 50, "module_score": 85, "level": 4, } # average of all that: 75.67 result = local_grades.unweighted_average_including_in_progress assert result == 75.2 @staticmethod def test_weighted_average_in_progress( local_grades, ): # in progress: [69.2, 60, 75], respectively [L4, L5, L5] local_grades.data["Algorithms and Data Structures I"] = { "final_score": 65, "final_weight": 70, "midterm_score": 79, "midterm_weight": 30, "module_score": None, "level": 4, } local_grades.data["Agile Software Projects"] = { "final_score": None, "final_weight": 70, "midterm_score": 60, "midterm_weight": 30, "module_score": None, "level": 5, } local_grades.data["Algorithms and Data Structures II"] = { "final_score": None, "final_weight": 50, "midterm_score": 75, "midterm_weight": 50, "module_score": None, "level": 5, } # finished : [80, 82, 85], respectively [L4, L4, L4] local_grades.data["How Computers Work"] = { "final_score": None, "final_weight": 50, "midterm_score": 60, "midterm_weight": 50, "module_score": 80, "level": 4, } local_grades.data["Introduction to Programming I"] = { "final_score": 80, "final_weight": 50, "midterm_score": 60, "midterm_weight": 50, "module_score": 82, "level": 4, } local_grades.data["Computational Mathematics"] = { "final_score": 80, "final_weight": 50, "midterm_score": None, "midterm_weight": 50, "module_score": 85, "level": 4, } # weighted average of all that: 72.12 result = local_grades.weighted_average_in_progress assert result == 72.12 @staticmethod def test_weighted_average_in_progress_only( local_grades, ): # in progress: [69.2, 60, 75], respectively [L4, L5, L5] local_grades.data["Algorithms and Data Structures I"] = { "final_score": 65, "final_weight": 70, "midterm_score": 79, "midterm_weight": 30, "module_score": None, "level": 4, } local_grades.data["Agile Software Projects"] = { "final_score": None, "final_weight": 70, "midterm_score": 60, "midterm_weight": 30, "module_score": None, "level": 5, } local_grades.data["Algorithms and Data Structures II"] = { "final_score": None, "final_weight": 50, "midterm_score": 75, "midterm_weight": 50, "module_score": None, "level": 5, } # finished : [80], [L4] local_grades.data["How Computers Work"] = { "final_score": None, "final_weight": 50, "midterm_score": 60, "midterm_weight": 50, "module_score": 80, "level": 4, } # weighted average of modules in progress: 67.74 result = local_grades.weighted_average_in_progress_only assert result == 67.74 @staticmethod def test_get_module_scores_of_finished_modules_for_system_us(local_grades): expected_module_scores = { "Module 1": "A", "Module 2": "N/A", "Module 3": "B", "Module 4": "C", "Module 5": "F", "Module 6": "A", "Module 7": "D", "Module 8": "A-", "Module 9": "B+", "Module 10": "B-", "Module 11": "C+", "Module 12": "C-", "Module 13": "D+", "Module 14": "D-", } with patch.dict( local_grades.data, { "Module 1": {"module_score": 95.2, "level": 4}, "Module 2": { "module_score": -1, "level": 4, }, # not counted: i.e. N/A "Module 3": {"module_score": 85, "level": 4}, "Module 4": {"module_score": 74.2, "level": 4}, "Module 5": {"module_score": 59.2, "level": 4}, "Module 6": {"module_score": 100, "level": 4}, "Module 7": {"module_score": 64.5, "level": 4}, "Module 8": {"module_score": 91, "level": 4}, "Module 9": {"module_score": 88.7, "level": 5}, "Module 10": {"module_score": 81.4, "level": 5}, "Module 11": {"module_score": 79, "level": 5}, "Module 12": {"module_score": 70, "level": 5}, "Module 13": {"module_score": 67.1, "level": 5}, "Module 14": {"module_score": 61, "level": 5}, }, clear=True, ): out = ( local_grades.get_module_scores_of_finished_modules_for_system( system="US" ) ) assert out == expected_module_scores @staticmethod def test_get_scores_of_modules_in_progress_for_system_us(local_grades): expected_module_scores = { "Module 1": "A", "Module 3": "B", "Module 4": "C", } with patch.dict( local_grades.data, { "Module 1": { "final_score": 95.2, "final_weight": 70, "level": 4, }, "Module 2": { "module_score": -1, "level": 4, }, # not counted: i.e. N/A "Module 3": { "midterm_score": 85.5, "midterm_weight": 50, "level": 4, }, "Module 4": { "final_score": 70, "final_weight": 70, "midterm_score": 80, "midterm_weight": 30, "level": 4, }, "Module 5": { "module_score": 59.2, "level": 4, }, # not counted: module_score is present "Module 6": { "module_score": 59.2, "final_score": 59.2, "final_weight": 70, "midterm_score": 59.2, "midterm_weight": 30, "level": 4, }, # not counted: module_score is present }, clear=True, ): out = local_grades.get_scores_of_modules_in_progress_for_system( system="US" ) assert out == expected_module_scores @staticmethod def test_get_scores_of_modules_in_progress_for_system_ects( local_grades, ): expected_module_scores = { "Module 1": "A", "Module 3": "A", "Module 4": "C", } with patch.dict( local_grades.data, { "Module 1": { "final_score": 95.2, "final_weight": 70, "level": 4, }, "Module 2": { "module_score": -1, "level": 4, }, # not counted: i.e. N/A "Module 3": { "midterm_score": 85.5, "midterm_weight": 50, "level": 4, }, "Module 4": { "final_score": 55, "final_weight": 70, "midterm_score": 54, "midterm_weight": 30, "level": 4, }, "Module 5": { "module_score": 59.2, "level": 4, }, # not counted: module_score is present "Module 6": { "module_score": 59.2, "final_score": 59.2, "final_weight": 70, "midterm_score": 59.2, "midterm_weight": 30, "level": 4, }, # not counted: module_score is present }, clear=True, ): out = local_grades.get_scores_of_modules_in_progress_for_system( system="ECTS" ) assert out == expected_module_scores @staticmethod def test_get_module_scores_of_finished_modules_for_system_ects( local_grades, ): expected_module_scores = { "Module 1": "A", "Module 2": "N/A", "Module 3": "B", "Module 4": "C", "Module 5": "E/F", "Module 6": "A", "Module 7": "D", } with patch.dict( local_grades.data, { "Module 1": {"module_score": 95.2, "level": 4}, "Module 2": {"module_score": -1, "level": 4}, # not counted "Module 3": {"module_score": 60, "level": 4}, "Module 4": {"module_score": 50.3, "level": 4}, "Module 5": {"module_score": 0, "level": 4}, "Module 6": {"module_score": 100, "level": 4}, "Module 7": {"module_score": 41, "level": 4}, }, clear=True, ): out = ( local_grades.get_module_scores_of_finished_modules_for_system( system="ECTS" ) ) assert out == expected_module_scores @staticmethod def test_total_credits(local_grades): with patch.dict( local_grades.data, { "Module 1": {"module_score": -1, "level": 4}, # counts as done "Module 2": {"module_score": 80, "level": 5}, "Module 3": {"module_score": 70, "level": 6}, "Module 4": {}, # don't count when there's no data }, clear=True, ): assert local_grades.total_credits == 45 with patch.dict( local_grades.data, { "Final Project": {"module_score": 80, "level": 6} }, # counts double clear=True, ): assert local_grades.total_credits == 30 with patch.dict( local_grades.data, { "final project": { "module_score": 80, "level": 6, }, # make sure capitalization does not matter }, clear=True, ): assert local_grades.total_credits == 30 with patch.dict( local_grades.data, { "Module 1": {"module_score": -1, "level": 5}, # counts as done "Final Project": { "module_score": 80, "level": 6, }, # counts double "Module 3": {"module_score": 90.5, "level": 5}, "Module 4": { "level": 5 }, # don't count when there's no module_score }, clear=True, ): assert local_grades.total_credits == 60 with patch.dict( local_grades.data, { # do not count failed attempts "Module 2": {"module_score": 34, "level": 4}, "Module 3": {"module_score": 90.5, "level": 4}, "Module 4": {"level": 4}, }, clear=True, ): assert local_grades.total_credits == 15 @staticmethod @pytest.mark.parametrize( "num_credits,exp_percentage", [ (-100, -1), (-2, -1), (-1, -1), (0, 0), (15, 4.17), (30, 8.33), (60, 16.67), (135, 37.5), (240, 66.67), (300, 83.33), (360, 100), (375, 100), # can't have more than 360 credits, cap it ], ) def test_get_percentage_degree_done( local_grades, num_credits, exp_percentage ): assert ( local_grades.get_percentage_degree_done(num_credits) == exp_percentage )

33.76462

79

0.446504

2,250

23,095

4.362667

0.093778

0.115424

0.061125

0.034841

0.833231

0.80379

0.766096

0.694071

0.679707

0.663407

0

0.064611

0.425677

23,095

683

80

33.814056

0.675437

0.0559

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0.650394

0

0.232848

0.001195

0

0.03937

1

0.025197

false

0

0.00315

0

0.031496

0

null

0

1

0

1

0

null

0

4

23af06680da576de052747649b0e4930be1a9fda

533

py

Python

taotao-cloud-python/taotao-cloud-oldboy/day77-cmdb/cmdb/AutoCmdb/repository/admin.py

shuigedeng/taotao-cloud-paren

3d281b919490f7cbee4520211e2eee5da7387564

[ "Apache-2.0" ]

47

2021-04-13T10:32:13.000Z

2022-03-31T10:30:30.000Z

taotao-cloud-python/taotao-cloud-oldboy/day77-cmdb/cmdb/AutoCmdb/repository/admin.py

shuigedeng/taotao-cloud-paren

3d281b919490f7cbee4520211e2eee5da7387564

[ "Apache-2.0" ]

1

2021-11-01T07:41:04.000Z

2021-11-01T07:41:10.000Z

taotao-cloud-python/taotao-cloud-oldboy/day77-cmdb/cmdb/AutoCmdb/repository/admin.py

shuigedeng/taotao-cloud-paren

3d281b919490f7cbee4520211e2eee5da7387564

[ "Apache-2.0" ]

21

2021-04-13T10:32:17.000Z

2022-03-26T07:43:22.000Z

from django.contrib import admin from repository import models admin.site.register(models.Asset) admin.site.register(models.Server) admin.site.register(models.NetworkDevice) admin.site.register(models.UserProfile) admin.site.register(models.UserGroup) admin.site.register(models.BusinessUnit) admin.site.register(models.IDC) admin.site.register(models.Tag) admin.site.register(models.Disk) admin.site.register(models.Memory) admin.site.register(models.NIC) admin.site.register(models.AssetRecord) admin.site.register(models.ErrorLog)

35.533333

41

0.838649

74

533

6.040541

0.297297

0.261745

0.494407

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23cfa67c204b6ff1d8fbe9c8265cdeeffe15bcb0

234,031

py

Python

resources.py

alexnaoki/hidroweb-downloader-plugin

6609ba025bef6c088a072c20f026d0610769c677

[ "MIT" ]

1

2021-03-28T01:55:06.000Z

resources.py

alexnaoki/hidroweb-downloader-plugin

6609ba025bef6c088a072c20f026d0610769c677

[ "MIT" ]

null

resources.py

alexnaoki/hidroweb-downloader-plugin

6609ba025bef6c088a072c20f026d0610769c677

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Resource object code # # Created by: The Resource Compiler for PyQt5 (Qt v5.11.2) # # WARNING! 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QtCore.qRegisterResourceData(rcc_version, qt_resource_struct, qt_resource_name, qt_resource_data) def qCleanupResources(): QtCore.qUnregisterResourceData(rcc_version, qt_resource_struct, qt_resource_name, qt_resource_data) qInitResources()

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23e235a8c32268af6f290dc36d9ca22a543ba93b

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py

Python

__main__.py

JaiSh12345/SnakesVsLadder

f29b799523e8987e04ba52615dfd57f4b7fa6058

[ "MIT" ]

1

2019-11-01T15:58:35.000Z

__main__.py

JaiSh12345/SnakesVsLadder

f29b799523e8987e04ba52615dfd57f4b7fa6058

[ "MIT" ]

1

2019-11-01T15:23:37.000Z

2019-11-12T03:37:05.000Z

__main__.py

JaiSh12345/SnakesVsLadder

f29b799523e8987e04ba52615dfd57f4b7fa6058

[ "MIT" ]

null

''' Module that is the entry point into the game ''' from SnakesVsLadder.src import game game.main()

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23e2f555ecf2c0e79ca4e20e6bd6f86c1c266d43

698

py

Python

Exam6-practice/magicNumbers.py

nikolayvutov/Python

55163496dac452a7110b7f76edc6894ee195f1fe

[ "MIT" ]

null

Exam6-practice/magicNumbers.py

nikolayvutov/Python

55163496dac452a7110b7f76edc6894ee195f1fe

[ "MIT" ]

null

Exam6-practice/magicNumbers.py

nikolayvutov/Python

55163496dac452a7110b7f76edc6894ee195f1fe

[ "MIT" ]

null

n = int(input()) for i in range(1, 10): if n % i != 0: continue for j in range(1, 10): if n % j != 0: continue for k in range(1, 10): if n % k != 0: continue for m in range(1, 10): if n % m != 0: continue for o in range(1, 10): if n % o != 0: continue for p in range(1, 10): if n % i != 0: continue if (i * j * k * m * o * p == n): print("{0}{1}{2}{3}{4}{5}".format(i, j, k, m, o, p), end=' ')

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23f9dcbf41eb69a417ef67dd9a0ce7e0f16ee0f0

155

py

Python

src/utils.py

derrod/twl.py

8fd6dce19028e7beb9bc7f2d4c28f3c73e36e810

[ "MIT" ]

5

2020-05-17T13:36:22.000Z

2022-03-26T22:34:14.000Z

src/utils.py

derrod/twl.py

8fd6dce19028e7beb9bc7f2d4c28f3c73e36e810

[ "MIT" ]

null

src/utils.py

derrod/twl.py

8fd6dce19028e7beb9bc7f2d4c28f3c73e36e810

[ "MIT" ]

1

2022-02-03T15:55:22.000Z

def clean_path(path): """ Removes illegal characters from path (Windows only) """ return ''.join(i for i in path if i not in '<>:"/\|?*')

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9b1a4b32c2fef60084e268ce9ac79138776cef1e

1,412

py

Python

tinyrouter/helpers.py

tcantalice/tinyrouter

1dcefc6c29aabede8a569c024d103c568ae2069b

[ "MIT" ]

null

tinyrouter/helpers.py

tcantalice/tinyrouter

1dcefc6c29aabede8a569c024d103c568ae2069b

[ "MIT" ]

null

tinyrouter/helpers.py

tcantalice/tinyrouter

1dcefc6c29aabede8a569c024d103c568ae2069b

[ "MIT" ]

null

from .router import Route def __route_builder(endpoint, rule, view, *methods): # TODO: Make documentation return Route(endpoint, rule, view, *methods) def route_get(endpoint, rule, view): """ Generate route for GET method HTTP :param endpoint: :param rule: :param view: :return Route: """ return __route_builder(endpoint, rule, view, 'GET') def route_post(endpoint, rule, view): """ Generate route for POST method HTTP :param endpoint: :param rule: :param view: :return Route: """ return __route_builder(endpoint, rule, view, 'POST') def route_delete(endpoint, rule, view): """ Generate route for DELETE method HTTP :param endpoint: :param rule: :param view: :return Route: """ return __route_builder(endpoint, rule, view, 'DELETE') def route_put(endpoint, rule, view): """ Generate route for PUT method HTTP :param endpoint: :param rule: :param view: :return Route: """ return __route_builder(endpoint, rule, view, 'PUT') def route_prefix(prefix, *routes): """ Generate routes pack with prefix added :param prefix: :param *route: :return list: """ if not prefix.startswith('/'): prefix = '/' + prefix for n in range(len(routes)): routes[n].rule = prefix + routes[n].rule return routes

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f1ba4dfd0299ba5aa376cf27f88c6c56221b0e4b

110,932

py

Python

Ch15/s15_16/ks15_16_rc.py

Deteriorator/PyQt5-Guide

d34a9659894d279b17369528359844a4ae4aeb20

[ "CC0-1.0" ]

1

2022-02-23T09:58:11.000Z

Ch15/s15_16/ks15_16_rc.py

Deteriorator/PyQt5-Guide

d34a9659894d279b17369528359844a4ae4aeb20

[ "CC0-1.0" ]

null

Ch15/s15_16/ks15_16_rc.py

Deteriorator/PyQt5-Guide

d34a9659894d279b17369528359844a4ae4aeb20

[ "CC0-1.0" ]

null

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\x31\x62\xc4\x88\x11\x23\x46\x8c\x18\x31\x62\xc4\x88\x11\x23\x46\ \x8c\x18\x31\x62\xc4\x88\x11\x23\x46\x8c\x18\x31\x62\xc4\x88\x11\ \x23\x46\x8c\x18\x31\x62\xc4\x88\x11\x23\x46\x8c\x18\x45\x0a\x91\ \xff\x07\x5e\xc7\xf9\xa9\xdb\x06\x7d\x7b\x00\x00\x00\x00\x49\x45\ \x4e\x44\xae\x42\x60\x82\ " qt_resource_name = b"\ \x00\x03\ \x00\x00\x76\xf3\ \x00\x70\ \x00\x69\x00\x63\ \x00\x06\ \x07\x03\x7d\xc3\ \x00\x69\ \x00\x6d\x00\x61\x00\x67\x00\x65\x00\x73\ \x00\x06\ \x07\x4c\x4f\x9f\ \x00\x6d\ \x00\x79\x00\x2e\x00\x69\x00\x63\x00\x6f\ \x00\x0d\ \x0a\x4b\xfb\xc7\ \x00\x6c\ \x00\x6f\x00\x67\x00\x6f\x00\x5f\x00\x74\x00\x65\x00\x78\x00\x74\x00\x2e\x00\x70\x00\x6e\x00\x67\ " qt_resource_struct_v1 = b"\ \x00\x00\x00\x00\x00\x02\x00\x00\x00\x01\x00\x00\x00\x01\ \x00\x00\x00\x00\x00\x02\x00\x00\x00\x01\x00\x00\x00\x02\ \x00\x00\x00\x0c\x00\x02\x00\x00\x00\x02\x00\x00\x00\x03\ \x00\x00\x00\x1e\x00\x01\x00\x00\x00\x01\x00\x00\x00\x00\ \x00\x00\x00\x30\x00\x00\x00\x00\x00\x01\x00\x00\x01\x34\ " qt_resource_struct_v2 = b"\ \x00\x00\x00\x00\x00\x02\x00\x00\x00\x01\x00\x00\x00\x01\ \x00\x00\x00\x00\x00\x00\x00\x00\ \x00\x00\x00\x00\x00\x02\x00\x00\x00\x01\x00\x00\x00\x02\ \x00\x00\x00\x00\x00\x00\x00\x00\ \x00\x00\x00\x0c\x00\x02\x00\x00\x00\x02\x00\x00\x00\x03\ \x00\x00\x00\x00\x00\x00\x00\x00\ \x00\x00\x00\x1e\x00\x01\x00\x00\x00\x01\x00\x00\x00\x00\ \x00\x00\x01\x69\x32\x9d\xdb\x80\ \x00\x00\x00\x30\x00\x00\x00\x00\x00\x01\x00\x00\x01\x34\ \x00\x00\x01\x69\xe7\x63\x91\x40\ " qt_version = QtCore.qVersion().split('.') if qt_version < ['5', '8', '0']: rcc_version = 1 qt_resource_struct = qt_resource_struct_v1 else: rcc_version = 2 qt_resource_struct = qt_resource_struct_v2 def qInitResources(): QtCore.qRegisterResourceData(rcc_version, qt_resource_struct, qt_resource_name, qt_resource_data) def qCleanupResources(): QtCore.qUnregisterResourceData(rcc_version, qt_resource_struct, qt_resource_name, qt_resource_data) qInitResources()

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null

1

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4

f1c2ae4747db713075abc4deb5aaed4cd0bb9c30

134

py

Python

masque/__init__.py

dfdx/masque

d779bd3a4001436148cf6668638d9a1bf64254bb

[ "MIT" ]

3

2015-11-29T06:25:13.000Z

2020-02-13T20:12:37.000Z

masque/__init__.py

dfdx/masque

d779bd3a4001436148cf6668638d9a1bf64254bb

[ "MIT" ]

null

masque/__init__.py

dfdx/masque

d779bd3a4001436148cf6668638d9a1bf64254bb

[ "MIT" ]

1

2019-07-19T17:29:43.000Z

import logging logging.basicConfig(format='%(asctime)s %(name)s %(levelname)s: %(message)s', level=logging.INFO)

26.8

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f1c8b853e165f60090f791b0a73d9d79d215c17b

92

py

Python

benchmarks/boxy/apps.py

voldemortX/benchmarks_website

5b5f534331025cdcb9719a9b4b37550cfe03408d

[ "MIT" ]

7

2020-03-16T09:43:02.000Z

2021-11-17T09:57:34.000Z

benchmarks/boxy/apps.py

voldemortX/benchmarks_website

5b5f534331025cdcb9719a9b4b37550cfe03408d

[ "MIT" ]

4

2019-08-09T04:52:55.000Z

2022-03-08T23:45:17.000Z

benchmarks/boxy/apps.py

voldemortX/benchmarks_website

5b5f534331025cdcb9719a9b4b37550cfe03408d

[ "MIT" ]

7

2019-12-04T11:37:46.000Z

2021-11-18T02:19:39.000Z

from django.apps import AppConfig class BenchmarksAppConfig(AppConfig): name = 'boxy'

15.333333

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92

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f1cf0c3c3f23b10de911b09f1b03f2e3b6e14f0b

122

py

Python

src/py_dss_interface/models/Example/__init__.py

davilamds/py_dss_interface

a447c97787aeac962381db88dd622ccb235eef4b

[ "MIT" ]

8

2020-08-15T12:56:03.000Z

2022-01-04T15:51:14.000Z

src/py_dss_interface/models/Example/__init__.py

rodolfoplondero/py_dss_interface

cb6771b34ed322a5df7ef1cc194611e794f26441

[ "MIT" ]

24

2021-04-24T18:33:19.000Z

2021-11-13T14:59:54.000Z

src/py_dss_interface/models/Example/__init__.py

rodolfoplondero/py_dss_interface

cb6771b34ed322a5df7ef1cc194611e794f26441

[ "MIT" ]

7

2020-08-15T12:56:04.000Z

2021-10-04T16:14:30.000Z

# -*- encoding: utf-8 -*- """ Created by Ênio Viana at 20/06/2021 at 15:07:27 Project: py_dss_interface [jun, 2021] """

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49

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0.901639

0

null

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4

f1d1599f26e449d04856a7475216653f3eebd62d

290

py

Python

packages/watchmen-model/src/watchmen_model/gui/favorite.py

Indexical-Metrics-Measure-Advisory/watchmen

c54ec54d9f91034a38e51fd339ba66453d2c7a6d

[ "MIT" ]

null

packages/watchmen-model/src/watchmen_model/gui/favorite.py

Indexical-Metrics-Measure-Advisory/watchmen

c54ec54d9f91034a38e51fd339ba66453d2c7a6d

[ "MIT" ]

null

packages/watchmen-model/src/watchmen_model/gui/favorite.py

Indexical-Metrics-Measure-Advisory/watchmen

c54ec54d9f91034a38e51fd339ba66453d2c7a6d

[ "MIT" ]

null

from typing import List from pydantic import BaseModel from watchmen_model.common import ConnectedSpaceId, DashboardId, LastVisit, UserBasedTuple class Favorite(UserBasedTuple, LastVisit, BaseModel): connectedSpaceIds: List[ConnectedSpaceId] = [] dashboardIds: List[DashboardId] = []

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null

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1

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4

f1ee4808e2c92b18e7aee2e7bb162573ccf71223

115

py

Python

genera_json/danios.py

parismend/Temblor

b7f78a9d8f2aa56150fe510b6e65f86623030f77

[ "MIT", "Unlicense" ]

6

2017-09-21T21:05:43.000Z

2017-09-25T18:36:50.000Z

genera_json/danios.py

parismend/Temblor

b7f78a9d8f2aa56150fe510b6e65f86623030f77

[ "MIT", "Unlicense" ]

18

2017-09-21T04:28:57.000Z

2021-04-30T20:37:11.000Z

genera_json/danios.py

parismend/Temblor

b7f78a9d8f2aa56150fe510b6e65f86623030f77

[ "MIT", "Unlicense" ]

13

2017-09-20T21:30:59.000Z

2020-05-15T06:56:29.000Z

import pandas as pd import json #Carga CSV (desde path) como DataFrame df = pd.DataFrame.from_csv('../datos.csv')

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115

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43

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null

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4

7b0636f58d487e4dc359b1d14b39fe5b127d3ff1

94

py

Python

schedule/models/__init__.py

JaviMiot/employeeSchedule

0ace8086ba8aeb1426f0252558b307e0e03bc7d8

[ "MIT" ]

null

schedule/models/__init__.py

JaviMiot/employeeSchedule

0ace8086ba8aeb1426f0252558b307e0e03bc7d8

[ "MIT" ]

null

schedule/models/__init__.py

JaviMiot/employeeSchedule

0ace8086ba8aeb1426f0252558b307e0e03bc7d8

[ "MIT" ]

null

from .dayOfWork import DayOfWork from .schedule import Schedule from .employee import Employee

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1

0

null

0

1

0

1

0

4

9e37f7a279bf44b7b8f93f5ad30359024e8ab7d7

13

py

Python

login.py

he-zhen/henzhen

3687e2d05272744245d18bbedd35157d473fcf24

[ "MIT" ]

null

login.py

he-zhen/henzhen

3687e2d05272744245d18bbedd35157d473fcf24

[ "MIT" ]

null

login.py

he-zhen/henzhen

3687e2d05272744245d18bbedd35157d473fcf24

[ "MIT" ]

null

num=1 num=22

4.333333

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null

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1

0

1

0

null

0

4

9e5cb7f433c98fd0a3826a2c155f428d118020c1

226

py

Python

src/spaceone/inventory/model/compute_instance/data/hardware.py

spaceone-dev/plugin-oracle-cloud-service-inven-collector

555dac75b69ebc9ea0f778d69e81407a88be1853

[ "Apache-2.0" ]

2

2021-02-22T07:08:17.000Z

2021-04-19T10:16:28.000Z

src/spaceone/inventory/model/compute_instance/data/hardware.py

spaceone-dev/plugin-oracle-cloud-service-inven-collector

555dac75b69ebc9ea0f778d69e81407a88be1853

[ "Apache-2.0" ]

null

src/spaceone/inventory/model/compute_instance/data/hardware.py

spaceone-dev/plugin-oracle-cloud-service-inven-collector

555dac75b69ebc9ea0f778d69e81407a88be1853

[ "Apache-2.0" ]

4

2021-02-08T02:21:57.000Z

2021-06-25T02:28:35.000Z

from schematics import Model from schematics.types import StringType, IntType, FloatType, ListType class HardWare(Model): core = IntType(default=0) memory = FloatType(default=0.0) cpu_model = ListType(StringType)

28.25

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9e5d83088239902989d61d353521e8782d70c7cf

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py

Python

00.Python/[udemy]numpy/basic.py

LenKIM/Show-me-the-data-science

ce3bbf9d094574ce57e8d04bd63074b146e91c4f

[ "MIT" ]

2

2018-12-17T06:50:51.000Z

2020-03-12T00:39:38.000Z

00.Python/[udemy]numpy/basic.py

LenKIM/Show-me-the-data-science

ce3bbf9d094574ce57e8d04bd63074b146e91c4f

[ "MIT" ]

null

00.Python/[udemy]numpy/basic.py

LenKIM/Show-me-the-data-science

ce3bbf9d094574ce57e8d04bd63074b146e91c4f

[ "MIT" ]

1

2019-11-16T02:43:01.000Z

import numpy as np a = np.arange(15).reshape(3,5) print(a) print(a.shape)

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py

Python

sciquence/shapelets/__init__.py

krzjoa/sciquence

6a5f758c757200fffeb0fdc9206462f1f89e2444

[ "MIT" ]

8

2017-10-23T17:59:35.000Z

2021-05-10T03:01:30.000Z

sciquence/shapelets/__init__.py

krzjoa/sciquence

6a5f758c757200fffeb0fdc9206462f1f89e2444

[ "MIT" ]

2

2019-08-25T19:24:12.000Z

2019-09-05T12:16:10.000Z

sciquence/shapelets/__init__.py

krzjoa/sciquence

6a5f758c757200fffeb0fdc9206462f1f89e2444

[ "MIT" ]

2

2018-02-28T09:47:53.000Z

2019-08-25T19:24:16.000Z

from shapelet_transformer import ShapeletProcessor from shapelet_classifier import ShapeletClassifier __all__ = [ 'ShapeletClassifier', 'ShapeletTransformer' ]

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0

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0

null

0

1

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4

9e7fa19bfc094b8209a53070af082d84fd931b0e

722

py

Python

amadeus/namespaces/_reference_data.py

minjikarin/amadeus-python

14a004912ee8c36ee4fd79651ea1b23afe6b2a6e

[ "MIT" ]

125

2018-04-09T07:27:24.000Z

2022-02-22T11:45:20.000Z

amadeus/namespaces/_reference_data.py

minjikarin/amadeus-python

14a004912ee8c36ee4fd79651ea1b23afe6b2a6e

[ "MIT" ]

58

2018-03-29T14:58:01.000Z

2022-03-17T10:18:07.000Z

amadeus/namespaces/_reference_data.py

minjikarin/amadeus-python

14a004912ee8c36ee4fd79651ea1b23afe6b2a6e

[ "MIT" ]

58

2018-04-06T10:56:20.000Z

2022-03-04T01:23:24.000Z

from amadeus.client.decorator import Decorator from amadeus.reference_data._urls import Urls from amadeus.reference_data._location import Location from amadeus.reference_data._locations import Locations from amadeus.reference_data._airlines import Airlines from amadeus.reference_data._recommended_locations import RecommendedLocations class ReferenceData(Decorator, object): def __init__(self, client): Decorator.__init__(self, client) self.urls = Urls(client) self.locations = Locations(client) self.airlines = Airlines(client) self.recommended_locations = RecommendedLocations(client) def location(self, location_id): return Location(self.client, location_id)

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9ebcf55626db199decdf16f17e6136e77006647d

1,745

py

Python

examples/00000_utils.py

numpde/tcga

a7df66530a0249b82788f6367b9642b68eaf6ec5

[ "MIT" ]

2

2020-06-30T13:15:14.000Z

2021-08-04T07:46:02.000Z

examples/00000_utils.py

numpde/tcga

a7df66530a0249b82788f6367b9642b68eaf6ec5

[ "MIT" ]

null

examples/00000_utils.py

numpde/tcga

a7df66530a0249b82788f6367b9642b68eaf6ec5

[ "MIT" ]

null

import io from pathlib import Path from tcga.utils import unlist1 # Returns the object from a list # iff the list is a singleton assert 43 == unlist1([43]) # An iterable will be consumed: assert 36 == unlist1((x ** 2) for x in [6]) # These fail with a ValueError: # unlist1([]) # unlist1([1, 2]) from tcga.utils import relpath # Returns the path relative to the script from tcga.utils import mkdir # A wrapper for Path.mkdir: # path = mkdir(Path("/path/to/folder")) from tcga.utils import first # Returns the first element of an iterable assert 'A' == first("ABCD") from tcga.utils import at_most_n # Lazy cut-off for iterables print(list(at_most_n("ABCD", n=2))) # ['A', 'B'] from tcga.utils import whatsmyname def rose(): print(whatsmyname()) # Prints the name of # the function: rose from tcga.utils import assert_exists # If `file` is a filename or path then # assert_exists(file) # either raises FileNotFoundError # or returns back `file` from tcga.utils import md5 # Computes the md5 hash of a text stream chunkwise. # Attempts to rewind the stream back using .tell() print(md5(io.StringIO("I know that I shall meet my fate"))) # 06a118b2f090ed1b39a1d07efdaa5d78 from tcga.utils import from_iterable # Wraps chain.from_iterable, i.e. print(set(from_iterable([[1, 2, 5], [4, 5]]))) print(from_iterable([[1, 2, 5], [4, 5]], type=set)) # {1, 2, 4, 5} from tcga.utils import minidict # A minimalistic read-only dictionary minidict({1: 'A', 2: 'B'}) from tcga.utils import seek_then_rewind # Context manager for rewinding file descriptors with open(__file__, mode='r') as fd: with seek_then_rewind(fd, seek=2): print(fd.readline().strip()) # port io print(fd.readline().strip()) # import io

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1

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7b4237216c51fff04765218724e81d69f5b1cd49

274

py

Python

custos-client-sdks/custos-python-sdk/custos/clients/utils/utilities.py

hasithajayasundara/airavata-custos

2d341849dd8ea8a7c2efec6cc73b01dfd495352e

[ "Apache-2.0" ]

10

2019-05-21T22:42:35.000Z

2022-03-25T15:58:09.000Z

custos-client-sdks/custos-python-sdk/custos/clients/utils/utilities.py

hasithajayasundara/airavata-custos

2d341849dd8ea8a7c2efec6cc73b01dfd495352e

[ "Apache-2.0" ]

83

2019-02-22T12:22:14.000Z

2022-03-30T13:42:47.000Z

custos-client-sdks/custos-python-sdk/custos/clients/utils/utilities.py

hasithajayasundara/airavata-custos

2d341849dd8ea8a7c2efec6cc73b01dfd495352e

[ "Apache-2.0" ]

20

2019-02-22T08:10:05.000Z

2021-11-07T19:37:04.000Z

from base64 import b64encode def get_token(custos_settings): tokenStr = custos_settings.CUSTOS_CLIENT_ID + ":" + custos_settings.CUSTOS_CLIENT_SEC tokenByte = tokenStr.encode('utf-8') encodedBytes = b64encode(tokenByte) return encodedBytes.decode('utf-8')

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1

0

1

0

null

0

4

7b4a826c24b4eba711741b33822640965656fc64

205

py

Python

circuitpython/lib/adafruit_hid/__init__.py

digixx/MacroPad

028f381e7e8d686cced65a058d2b3b2e2ef2f13e

[ "MIT" ]

null

circuitpython/lib/adafruit_hid/__init__.py

digixx/MacroPad

028f381e7e8d686cced65a058d2b3b2e2ef2f13e

[ "MIT" ]

null

circuitpython/lib/adafruit_hid/__init__.py

digixx/MacroPad

028f381e7e8d686cced65a058d2b3b2e2ef2f13e

[ "MIT" ]

null

""" `adafruit_hid` ==================================================== This driver simulates USB HID devices. Currently keyboard and mouse are implemented. * Author(s): Scott Shawcroft, Dan Halbert """

22.777778

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0.556098

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1

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null

0

1

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4

7b4c00c88715aefa93e271af35c68aa5fe34ce73

104

py

Python

examples/test_project/jsonrpc_service/apps.py

vladcalin/django-gemstone

c099e469e418b005528d0b69940c6418214db414

[ "MIT" ]

3

2017-11-12T06:03:18.000Z

2020-11-20T22:35:08.000Z

examples/test_project/jsonrpc_service/apps.py

vladcalin/django-gemstone

c099e469e418b005528d0b69940c6418214db414

[ "MIT" ]

null

examples/test_project/jsonrpc_service/apps.py

vladcalin/django-gemstone

c099e469e418b005528d0b69940c6418214db414

[ "MIT" ]

null

from django.apps import AppConfig class JsonrpcServiceConfig(AppConfig): name = 'jsonrpc_service'

17.333333

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7.363636

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1

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null

0

1

0

1

0

4

7b54b3988e2f0915da17e1eadb192942b08a8626

135

py

Python

reddit2telegram/channels/~inactive/r_hqdesi/app.py

mainyordle/reddit2telegram

1163e15aed3b6ff0fba65b222d3d9798f644c386

[ "MIT" ]

187

2016-09-20T09:15:54.000Z

2022-03-29T12:22:33.000Z

reddit2telegram/channels/~inactive/r_hqdesi/app.py

mainyordle/reddit2telegram

1163e15aed3b6ff0fba65b222d3d9798f644c386

[ "MIT" ]

84

2016-09-22T14:25:07.000Z

2022-03-19T01:26:17.000Z

reddit2telegram/channels/~inactive/r_hqdesi/app.py

mainyordle/reddit2telegram

1163e15aed3b6ff0fba65b222d3d9798f644c386

[ "MIT" ]

172

2016-09-21T15:39:39.000Z

2022-03-16T15:15:58.000Z

#encoding:utf-8 subreddit = 'HQDesi' t_channel = '@r_HqDesi' def send_post(submission, r2t): return r2t.send_simple(submission)

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0

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null

0

1

0

1

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4

7b56cd1b52571e7ac7f3b2462d1809d73ac26261

67

py

Python

anthemav/__init__.py

tinglis1/anthemav

7b30f7b878397151eaa3b810662e36221b534531

[ "BSD-3-Clause" ]

3

2016-09-25T07:22:03.000Z

2020-01-19T18:06:44.000Z

anthemav/__init__.py

tinglis1/anthemav

7b30f7b878397151eaa3b810662e36221b534531

[ "BSD-3-Clause" ]

1

2016-10-09T02:52:17.000Z

anthemav/__init__.py

tinglis1/anthemav

7b30f7b878397151eaa3b810662e36221b534531

[ "BSD-3-Clause" ]

null

'''Empty __init__.py required by Python to scan (for packages?)'''

33.5

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1

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1

0

null

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4

7b5c486f14a307edb270853f476eb5176d7c7cca

290

py

Python

Part_2_intermediate/mod_2/lesson_5/homework_3/shop/order_element.py

Mikma03/InfoShareacademy_Python_Courses

3df1008c8c92831bebf1625f960f25b39d6987e6

[ "MIT" ]

null

Part_2_intermediate/mod_2/lesson_5/homework_3/shop/order_element.py

Mikma03/InfoShareacademy_Python_Courses

3df1008c8c92831bebf1625f960f25b39d6987e6

[ "MIT" ]

null

Part_2_intermediate/mod_2/lesson_5/homework_3/shop/order_element.py

Mikma03/InfoShareacademy_Python_Courses

3df1008c8c92831bebf1625f960f25b39d6987e6

[ "MIT" ]

null

class OrderElement: def __init__(self, product, quantity): self.product = product self.quantity = quantity def calculate_price(self): return self.product.unit_price * self.quantity def __str__(self): return f"{self.product} x {self.quantity}"

24.166667

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7b5e3451b15eb161661e9a32e7186bff4005f47a

149

py

Python

sxs/metadata/__init__.py

dongzesun/sxs

74ac9576032ddc232ff48510ba20f0a9e7116861

[ "MIT" ]

8

2019-12-08T20:56:59.000Z

2021-11-01T09:01:39.000Z

sxs/metadata/__init__.py

duetosymmetry/sxs

1617bf9d1eb06b1aa063db2b310d4e7c3d02e5e5

[ "MIT" ]

33

2019-12-06T17:40:00.000Z

2022-03-28T16:53:02.000Z

sxs/metadata/__init__.py

duetosymmetry/sxs

1617bf9d1eb06b1aa063db2b310d4e7c3d02e5e5

[ "MIT" ]

10

2019-12-04T17:37:55.000Z

2022-03-14T07:22:43.000Z

"""Interface to SXS metadata files""" from .metadata import Metadata formats = { None: Metadata, "": Metadata, "metadata": Metadata, }

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1

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1

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null

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7b70406b8914f70294d9e68254810538a286c7e7

84

py

Python

src/napari_ids/__init__.py

tcotte/napari-IDS

4572b5f95b70ec7d496a5cec8624cd0f5ba7ed26

[ "BSD-3-Clause" ]

null

src/napari_ids/__init__.py

tcotte/napari-IDS

4572b5f95b70ec7d496a5cec8624cd0f5ba7ed26

[ "BSD-3-Clause" ]

null

src/napari_ids/__init__.py

tcotte/napari-IDS

4572b5f95b70ec7d496a5cec8624cd0f5ba7ed26

[ "BSD-3-Clause" ]

null

__version__ = "0.0.1" from ._widget import LiveIDS from .video_ui import initui

10.5

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7b7db2db848bd3634e208829aa8859800774f8e1

115

py

Python

kairon/__main__.py

rit1200/kairon

674a491f6deeae4800825ca93e0726e4fb6e0866

[ "Apache-2.0" ]

97

2020-08-18T10:07:48.000Z

2022-03-26T18:33:37.000Z

kairon/__main__.py

rit1200/kairon

674a491f6deeae4800825ca93e0726e4fb6e0866

[ "Apache-2.0" ]

276

2020-08-27T23:24:35.000Z

2022-03-31T09:43:30.000Z

kairon/__main__.py

rit1200/kairon

674a491f6deeae4800825ca93e0726e4fb6e0866

[ "Apache-2.0" ]

46

2020-09-11T13:29:41.000Z

2022-03-08T12:27:17.000Z

from kairon import cli import logging if __name__ == "__main__": logging.basicConfig(level="DEBUG") cli()

16.428571

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1

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7b88615fe2c05651070e91e77f44fc4b2bba173e

580

py

Python

mesh_around_2d.py

MiroK/gmshAround

3bd4053eb46a7d933e75579fcf653130cf62890f

[ "MIT" ]

null

mesh_around_2d.py

MiroK/gmshAround

3bd4053eb46a7d933e75579fcf653130cf62890f

[ "MIT" ]

null

mesh_around_2d.py

MiroK/gmshAround

3bd4053eb46a7d933e75579fcf653130cf62890f

[ "MIT" ]

null

from dolfin import Mesh import os # FIXME # We don't know how to deal with tight bbox intersecting the surface and so # are forced to have the bbox larger. Would be nice to handle this. def mesh_around_2d(mesh_, size=1, scale=10, padding=0.05): ''' From a 2d in 3d mesh (in XML format) produce a Xd mesh where the 2d structure is embedded. Mesh size close to strucure should be size(given as multiple of hmin(), elsewhere scale * size. Padding controls size of the bounding box. ''' # This is a much harder problem :( raise NotImplementedError

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7b8b1cdb81959c21c3f284fe134db336a93398e2

144

py

Python

moto/ec2/exceptions.py

tinyclues/moto

8612e9d78223d56949eba53ef32bedc4bde0e7de

[ "Apache-2.0" ]

null

moto/ec2/exceptions.py

tinyclues/moto

8612e9d78223d56949eba53ef32bedc4bde0e7de

[ "Apache-2.0" ]

null

moto/ec2/exceptions.py

tinyclues/moto

8612e9d78223d56949eba53ef32bedc4bde0e7de

[ "Apache-2.0" ]

null

class InvalidIdError(RuntimeError): def __init__(self, id_value): super(InvalidIdError, self).__init__() self.id = id_value

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null

0

1

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4

7ba05b8c89c9a93f00b13d2b6cfcb5617019594e

130

py

Python

mailmerge/exceptions.py

captn3m0/mailmerge

6c40c252154cd3360a7dc054619ae8919150974c

[ "MIT" ]

1

2021-08-14T19:17:44.000Z

mailmerge/exceptions.py

captn3m0/mailmerge

6c40c252154cd3360a7dc054619ae8919150974c

[ "MIT" ]

1

2021-01-05T21:04:42.000Z

mailmerge/exceptions.py

captn3m0/mailmerge

6c40c252154cd3360a7dc054619ae8919150974c

[ "MIT" ]

null

"""Errors raised by mailmerge.""" class MailmergeError(Exception): """Top level exception raised by mailmerge functions."""

21.666667

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6.714286

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null

0

1

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7baaa2b3c4aecaa6d209c6018384f2067dd28e47

173

py

Python

thai_tokenizer/data/__init__.py

nk2673/thai-tokenizer

bbed18b6c05117c917d67ba603f70f0b1e97b3db

[ "MIT" ]

4

2021-08-17T06:36:45.000Z

2022-03-09T05:34:29.000Z

thai_tokenizer/data/__init__.py

nk2673/thai-tokenizer

bbed18b6c05117c917d67ba603f70f0b1e97b3db

[ "MIT" ]

1

2021-02-08T11:00:17.000Z

thai_tokenizer/data/__init__.py

nk2673/thai-tokenizer

bbed18b6c05117c917d67ba603f70f0b1e97b3db

[ "MIT" ]

2

2021-02-08T10:18:56.000Z

2021-02-12T10:09:36.000Z

import json from importlib import resources bpe_merges = [] for line in resources.open_text(__name__, 'bpe_merges.jsonl'): bpe_merges.append(tuple(json.loads(line)))

19.222222

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0.763006

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173

4.96

0.68

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173

8

63

21.625

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0

null

0

1

0

4

7bc972e6146cd814c5a9dd869e85f62006f0ef95

1,046

py

Python

deep_in_python3/plural2.py

UMP-45/Python_Study

75126a432230b226f27f2a7434d848bd0ce5696e

[ "Unlicense" ]

1

2022-03-29T09:20:19.000Z

deep_in_python3/plural2.py

UMP-45/Python_Study

75126a432230b226f27f2a7434d848bd0ce5696e

[ "Unlicense" ]

null

deep_in_python3/plural2.py

UMP-45/Python_Study

75126a432230b226f27f2a7434d848bd0ce5696e

[ "Unlicense" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- import re def match_sxz(noun): return re.search('[sxz]$',noun) def apply_sxz(noun): return re.sub('$','es',noun) def match_h(noun): return re.search('[^aeioudgkprt]h$',noun) def apply_h(noun): return re.sub('$','es',noun) def match_y(noun): return re.search('[^aeiou]y$',noun) def apply_y(noun): return re.sub('y$','ies',noun) def match_default(noun): return True def apply_default(noun): return noun + 's' rules = ((match_sxz,apply_sxz), (match_h,apply_h), (match_y,apply_y), (match_default,apply_default) ) def plural(noun): for matches_rule, apply_rule in rules: if matches_rule(noun): return apply_rule(noun) print(plural('boy')) '''def plural(noun): if match_sxz(noun): return apply_sxz(noun) if match_h(noun): return apply_h(noun) if match_y(noun): return apply_y(noun) if match_default(noun): return apply_default(noun) '''

23.772727

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null

0

1

0

1

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4

c879ec92034930814f9dd733a95c86e31701a37f

128

py

Python

py-polars/polars/eager/__init__.py

elferherrera/polars

c9eb93e496fcc24667a548baa39b485d2d608aa0

[ "MIT" ]

1,595

2020-06-17T11:23:08.000Z

2021-05-06T12:56:22.000Z

py-polars/polars/eager/__init__.py

bfeif/polars

062172166e4b9e05a51fa29208990ee4ddb21272

[ "MIT" ]

346

2020-06-24T07:11:19.000Z

2021-05-06T10:39:22.000Z

py-polars/polars/eager/__init__.py

bfeif/polars

062172166e4b9e05a51fa29208990ee4ddb21272

[ "MIT" ]

92

2020-07-11T04:46:19.000Z

2021-04-30T20:25:31.000Z

# flake8: noqa from . import frame, series from .frame import * from .series import * __all__ = frame.__all__ + series.__all__

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null

0

1

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0

4

c8ad3e5a87f0220583e387a873518690760d446e

2,411

py

Python

test/test_ngram.py

hammerlab/pepdata

2f1bad79f8084545227f4a7f895bbf08a6fb6fdc

[ "Apache-2.0" ]

24

2015-03-13T03:52:27.000Z

2017-12-09T08:46:05.000Z

test/test_ngram.py

openvax/pepdata

2f1bad79f8084545227f4a7f895bbf08a6fb6fdc

[ "Apache-2.0" ]

8

2015-01-30T18:31:31.000Z

2017-09-27T13:18:44.000Z

test/test_ngram.py

hammerlab/pepdata

2f1bad79f8084545227f4a7f895bbf08a6fb6fdc

[ "Apache-2.0" ]

10

2015-01-08T20:33:39.000Z

2017-08-03T14:38:33.000Z

# Copyright (c) 2014. Mount Sinai School of Medicine # # 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 __future__ import print_function, division, absolute_import from six.moves import cPickle from pepdata import PeptideVectorizer # isoforms of two different proteins a, b a1 = ( "MSPHPTALLGLVLCLAQTIHTQEEDLPRPSISAEPGTVIPLGSHVTFVCRGPVGVQTFRLERESRSTYND" "TEDVSQASPSESEARFRIDSVSEGNAGPYRCIYYKPPKWSEQSDYLELLVKETSGGPDSPDTEPGSSAGPT" "QRPSDNSHNEHAPASQGLKAEHLYILIGVSVVFLFCLLLLVLFCLHRQNQIKQGPPRSKDEEQKPQQRPDL" "AVDVLERTADKATVNGLPEKDRETDTSALAAGSSQEVTYAQLDHWALTQRTARAVSPQSTKPMAESITYAA" "VARH" ) a2 = ( "MSLMVVSMACVGFFLLQGAWPHEGVHRKPSLLAHPGPLVKSEETVILQCWSDVRFEHFLLHREGKYKDTLH" "LIGEHHDGVSKANFSIGPMMQDLAGTYRCYGSVTHSPYQLSAPSDPLDIVITGLYEKPSLSAQPGPTVLAG" "ESVTLSCSSRSSYDMYHLSREGEAHERRFSAGPKVNGTFQADFPLGPATHGGTYRCFGSFRDSPYEWSNSS" "DPLLVSVTGNPSNSWPSPTEPSSKTGNPRHLHVLIGTSVVKIPFTILLFFLLHRWCSNKKNAAVMDQEPAG" "NRTVNSEDSDEQDHQEVSYA" ) a3 = ( "MSLMVVSMACVGFFLLEGPWPHVGGQDKPFLSAWPGTVVSEGQHVTLQCRSRLGFNEFSLSKEDGMPVPEL" "YNRIFRNSFLMGPVTPAHAGTYRCCSSHPHSPTGWSAPSNPVVIMVTGVHRKPSLLAHPGPLVKSEETVIL" "QCWSDVRFEHFLLHREGKYKDTLHLIGEHHDGVSKANFSIGPMMQDLAGTYRCYGSVTHSPYQLSAPSDPL" "DIVITGLYEKPSLSAQPGPTVLAGESVTLSCSSRSSYDMYHLSREGEAHERRFSAGPKVNGTFQADFPLGP" "ATHGGTYRCFGSFRDSPYEWSNSSDPLLVSVTAFLSVKSSGHKYIY" ) A = [a1, a2, a3] b1 = ( "MPKGRAGSLPTTSIGWRFQLWFLGLTCPERHLARRLKNNSFYPFVQQEPNVFVLEYYLDTLWKGMLLFII" "SVVLVSFSSLREVQKQETWVFLVYGVGVGLWLVISSLPRRRLVLNHTRGVYHFSIQGRTVCQGPLHLVYV" "RLALSSDAHGRCFFHLVLGGHRLEPLVLVQLSEHYEQMEYLGRYIARKLNINYFDYLATSYRHVVRHWPP" "PGAGTVMGKSPMGHKPSSSQSSLEV" ) b2 = ( "MPKGRAGSLPTTSIGWRFQLWFLGLTCPERHLARRLKNNSFYPFVQQEPNVFVLEYYLDTLWKGMLLFII" "SVVLVSFSSLREVQKQETWVFLVYGVGVGLWLVISSLPRRRLVLNHTRGVYHFSIQGRTVCQGPLHLVYV" "RLALSSDAHGRCFFHLVLGGHRLEPLVLVQLSEHYEQMEYLGRYIARKLNINYFDYLATSYRHVVRHWPPP" "GAGTVMGKSPMGHKPSSSQSSLEV" ) B = [b1, b2]

38.269841

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2,411

13.143791

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0.012929

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2,411

62

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null

0

1

null

1

0

4

c8cfcf03f8de6850f96d307c5cfda1f9c4bf854e

375

py

Python

wfdb/processing/__init__.py

vishwas1234567/wfdb-python

8d751aaf38a121b67dade880a930ccd8e002379b

[ "MIT" ]

1

2019-07-06T05:57:49.000Z

wfdb/processing/__init__.py

vishwas1234567/wfdb-python

8d751aaf38a121b67dade880a930ccd8e002379b

[ "MIT" ]

null

wfdb/processing/__init__.py

vishwas1234567/wfdb-python

8d751aaf38a121b67dade880a930ccd8e002379b

[ "MIT" ]

1

2019-01-02T12:02:42.000Z

from .basic import (resample_ann, resample_sig, resample_singlechan, resample_multichan, normalize_bound, get_filter_gain) from .evaluate import Comparitor, compare_annotations, benchmark_mitdb from .hr import compute_hr, calc_rr, calc_mean_hr from .peaks import find_peaks, find_local_peaks, correct_peaks from .qrs import XQRS, xqrs_detect, gqrs_detect

53.571429

73

0.805333

52

375

5.442308

0.615385

0

0.141333

375

6

74

62.5

0.878882

0

1

0

true

0

0.833333

0

0.833333

0

null

0

1

0

null

0

1

0

1

0

1

0

4

cda81d66dcd41823374e3dd3bc23d16ac283edc7

741

py

Python

src/sima/simo/fixedforceelongationmethod.py

SINTEF/simapy

650b8c2f15503dad98e2bfc0d0788509593822c7

[ "MIT" ]

null

src/sima/simo/fixedforceelongationmethod.py

SINTEF/simapy

650b8c2f15503dad98e2bfc0d0788509593822c7

[ "MIT" ]

null

src/sima/simo/fixedforceelongationmethod.py

SINTEF/simapy

650b8c2f15503dad98e2bfc0d0788509593822c7

[ "MIT" ]

null

# Generated with FixedForceElongationMethod # from enum import Enum from enum import auto class FixedForceElongationMethod(Enum): """""" PRETENSION_LOCAL = auto() PRETENSION_GLOBAL = auto() BOTH_ENDS = auto() CONSTANT_TENSION_WINCH = auto() def label(self): if self == FixedForceElongationMethod.PRETENSION_LOCAL: return "Pretension and local direction" if self == FixedForceElongationMethod.PRETENSION_GLOBAL: return "Pretension and global direction" if self == FixedForceElongationMethod.BOTH_ENDS: return "Coordinates of both end points" if self == FixedForceElongationMethod.CONSTANT_TENSION_WINCH: return "Constant tension winch"

35.285714

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0.232119

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21

70

35.285714

0.894552

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false

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0.75

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null

0

1

0

1

0

null

0

1

0

4

cdb277a982fdf0f80b6ce5d55443fe1f12068360

20

py

Python

albow/version.py

LaChal/mcedit

61b2da298a81b0ab739927f50ba03e56092df872

[ "0BSD" ]

null

albow/version.py

LaChal/mcedit

61b2da298a81b0ab739927f50ba03e56092df872

[ "0BSD" ]

null

albow/version.py

LaChal/mcedit

61b2da298a81b0ab739927f50ba03e56092df872

[ "0BSD" ]

null

version = (2, 1, 5)

10

19

0.5

4

20

2.5

1

0

0.2

0.25

20

1

20

0.466667

0

1

0

false

0

1

0

null

0

1

0

1

0

null

0

4

cdd87c1a8bb81b64c3767025e6c586aee3071a55

49

py

Python

torch_geometric/__init__.py

cuiqiang1990/pytorch_geometric

a7143b8d9ace60cf2ec1bd14ecc20ff7c3141151

[ "MIT" ]

1

2019-10-16T09:14:19.000Z

torch_geometric/__init__.py

cuiqiang1990/pytorch_geometric

a7143b8d9ace60cf2ec1bd14ecc20ff7c3141151

[ "MIT" ]

null

torch_geometric/__init__.py

cuiqiang1990/pytorch_geometric

a7143b8d9ace60cf2ec1bd14ecc20ff7c3141151

[ "MIT" ]

null

__version__ = '1.3.0' __all__ = ['__version__']

12.25

25

0.653061

6

49

3.333333

0.833333

0

0.071429

0.142857

49

3

26

16.333333

0.404762

0

0.326531

0

1

0

false

0

1

0

null

0

1

0

1

0

null

0

4

cddd1691322a94afe58ab7a9b3f1857203ae2c25

97

py

Python

openFlow/ofptBarrierReq.py

wsharif/thesis

96a9bd6c86ed027c3eeee231b2eae1c14394d728

[ "MIT" ]

null

openFlow/ofptBarrierReq.py

wsharif/thesis

96a9bd6c86ed027c3eeee231b2eae1c14394d728

[ "MIT" ]

null

openFlow/ofptBarrierReq.py

wsharif/thesis

96a9bd6c86ed027c3eeee231b2eae1c14394d728

[ "MIT" ]

null

from ofptHeader import ofptHeader def ofptBarrierReq(): header = ofptHeader(20) return header

16.166667

33

0.793814

11

97

7

0.727273

0

0.024096

0.14433

97

6

34

16.166667

0.903614

0

1

0.25

false

0

0.25

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

4

cdfb96ba744b398d5c85127d4c3061558bb293d1

210

py

Python

scouts/forms.py

MichianaYouthRobotics/2019ScoutingBackend

73cb13c588f6677903c4d05fde1c03e95eb9f7d8

[ "MIT" ]

null

scouts/forms.py

MichianaYouthRobotics/2019ScoutingBackend

73cb13c588f6677903c4d05fde1c03e95eb9f7d8

[ "MIT" ]

null

scouts/forms.py

MichianaYouthRobotics/2019ScoutingBackend

73cb13c588f6677903c4d05fde1c03e95eb9f7d8

[ "MIT" ]

null

from django import forms from scouts.models import Scout class ScoutForm(forms.ModelForm): class Meta: model = Scout fields = ['person', 'robot_number', 'match_number', 'hatches_secured']

23.333333

78

0.695238

25

210

5.72

0.76

0

0.204762

210

8

79

26.25

0.856287

0

0.214286

0

1

0

false

0

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

a8039649cb05e931fe1433de4240b989c2613f40

218

py

Python

tasksapp/views.py

ayush1399/Django-TaskApp

676619b03671c6b16d819da267f416c15d7e941c

[ "MIT" ]

null

tasksapp/views.py

ayush1399/Django-TaskApp

676619b03671c6b16d819da267f416c15d7e941c

[ "MIT" ]

null

tasksapp/views.py

ayush1399/Django-TaskApp

676619b03671c6b16d819da267f416c15d7e941c

[ "MIT" ]

null

from django.contrib.auth.decorators import login_required from django.shortcuts import redirect app_name = 'main' @login_required(login_url='accounts:login') def index(request): return redirect('taskboard:index')

27.25

57

0.802752

29

218

5.896552

0.689655

0.116959

0

0.09633

218

8

58

27.25

0.86802

0

0.150685

0

1

0.166667

false

0

0.333333

0.166667

0.666667

0

1

0

null

0

1

0

null

0

1

0

4

b527a4129348308c1eb02948e152b9c7387efdb3

146

py

Python

Restaurantes/app_restaurantes/admin.py

Francislley/restaurante02

d3a858f5f93db3c16dde76c878b759d43365e600

[ "Apache-2.0" ]

null

Restaurantes/app_restaurantes/admin.py

Francislley/restaurante02

d3a858f5f93db3c16dde76c878b759d43365e600

[ "Apache-2.0" ]

null

Restaurantes/app_restaurantes/admin.py

Francislley/restaurante02

d3a858f5f93db3c16dde76c878b759d43365e600

[ "Apache-2.0" ]

null

from django.contrib import admin from app_restaurantes.models import Restaurante # Register your models here. admin.site.register(Restaurante)

18.25

47

0.828767

19

146

6.315789

0.684211

0

0.116438

146

7

48

20.857143

0.930233

0.178082

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

b5430ae89b24eb3cd090bb19e0f719416c566d78

769

py

Python

tests/recommendations/mocks.py

ExiledNarwal28/glo-2005-project

3b5b5f9cdcfe53d1e6e702609587068c4bd3310d

[ "MIT" ]

null

tests/recommendations/mocks.py

ExiledNarwal28/glo-2005-project

3b5b5f9cdcfe53d1e6e702609587068c4bd3310d

[ "MIT" ]

null

tests/recommendations/mocks.py

ExiledNarwal28/glo-2005-project

3b5b5f9cdcfe53d1e6e702609587068c4bd3310d

[ "MIT" ]

1

2020-05-21T10:07:07.000Z

from unittest import mock from tests.recommendations.fakes import get_recommendations_for_practice_center, \ get_recommendations_for_sport, get_recommendations_for_sport_and_user, \ get_recommendations_for_practice_center_and_user recommendation_service = mock.Mock() recommendation_repository = mock.Mock() recommendation_repository.get_all_for_sport.side_effect = get_recommendations_for_sport recommendation_repository.get_all_for_practice_center.side_effect = \ get_recommendations_for_practice_center recommendation_repository.get_all_for_sport_and_user.side_effect = \ get_recommendations_for_sport_and_user recommendation_repository.get_all_for_practice_center_and_user.side_effect = \ get_recommendations_for_practice_center_and_user

36.619048

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0.881664

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769

6.20202

0.20202

0.234528

0.273616

0.188925

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0

0.079324

769

20

88

38.45

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0

0.153846

0

1

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false

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0

0.153846

0

null

1

0

1

0

null

0

4

b5894bc8757062f55a618b91e780d07732bbef89

304

py

Python

Course I/Алгоритмы Python/Part2/семинары/pract2/задание/modules/task18/parse_exp.py

GeorgiyDemo/FA

641a29d088904302f5f2164c9b3e1f1c813849ec

[ "WTFPL" ]

27

2019-08-18T20:54:27.000Z

2022-02-22T02:39:45.000Z

Course I/Алгоритмы Python/Part2/семинары/pract2/задание/modules/task18/parse_exp.py

GeorgiyDemo/FA

641a29d088904302f5f2164c9b3e1f1c813849ec

[ "WTFPL" ]

217

2019-09-22T14:43:25.000Z

2022-03-30T13:49:18.000Z

Course I/Алгоритмы Python/Part2/семинары/pract2/задание/modules/task18/parse_exp.py

GeorgiyDemo/FA

641a29d088904302f5f2164c9b3e1f1c813849ec

[ "WTFPL" ]

42

2019-09-18T11:36:28.000Z

2022-03-19T18:43:00.000Z

from .parseexp_koff_a import get as get_a from .parseexp_koff_b import get as get_b from .parseexp_koff_c import get as get_c def parse_exp(input_str): index_a = get_a(input_str) index_b = get_b(input_str) index_c = get_c(input_str) return list(map(float, [index_a, index_b, index_c]))

27.636364

56

0.75

60

304

3.416667

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0.234146

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0

0.171053

304

10

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1

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false

0

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0

null

0

1

0

null

0

1

0

1

0

4

a91c7665746ce93b6512d004e78d650bcac13ef0

311

py

Python

core/api/serializer.py

FurkanOzkaya/postgresql_json_excel

8890c42a8aeca0e655145606a77e2f465f275ca2

[ "Apache-2.0" ]

null

core/api/serializer.py

FurkanOzkaya/postgresql_json_excel

8890c42a8aeca0e655145606a77e2f465f275ca2

[ "Apache-2.0" ]

null

core/api/serializer.py

FurkanOzkaya/postgresql_json_excel

8890c42a8aeca0e655145606a77e2f465f275ca2

[ "Apache-2.0" ]

null

from rest_framework import serializers from core.models import Column, Data class ColumnSerializer(serializers.ModelSerializer): class Meta: model = Column fields = '__all__' class DataSerializer(serializers.ModelSerializer): class Meta: model = Data fields = '__all__'

25.916667

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0.710611

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311

6.83871

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0.245283

0.292453

0.330189

0.377358

0

0.22508

311

12

53

25.916667

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0.4

0

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1

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0.6

0

null

1

0

null

0

1

0

4

a921e205726f63b58a6494e38e8391da27fe4fa1

1,935

py

Python

web/pipeline/migrations/0081_auto_20200908_1551.py

stevenstuber/CIT

8c485e72084c06da6db45da1cb402bac26411ec2

[ "Apache-2.0" ]

10

2020-11-12T15:13:40.000Z

2022-03-05T22:33:08.000Z

web/pipeline/migrations/0081_auto_20200908_1551.py

stevenstuber/CIT

8c485e72084c06da6db45da1cb402bac26411ec2

[ "Apache-2.0" ]

28

2020-07-17T16:33:55.000Z

2022-03-21T16:24:25.000Z

web/pipeline/migrations/0081_auto_20200908_1551.py

stevenstuber/CIT

8c485e72084c06da6db45da1cb402bac26411ec2

[ "Apache-2.0" ]

5

2020-11-02T23:39:53.000Z

2022-03-01T19:09:45.000Z

# Generated by Django 2.2.13 on 2020-09-08 15:51 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('pipeline', '0080_airport'), ] operations = [ migrations.AddField( model_name='community', name='nearest_substation_distance', field=models.FloatField(blank=True, null=True), ), migrations.AddField( model_name='community', name='nearest_substation_name', field=models.CharField(blank=True, max_length=255, null=True), ), migrations.AddField( model_name='community', name='nearest_transmission_distance', field=models.FloatField(blank=True, null=True), ), migrations.AddField( model_name='community', name='power_pop_2km_capacity', field=models.FloatField(blank=True, help_text='POP Capacity (Gbps) for communities that are within 2km of POP', null=True), ), migrations.AddField( model_name='community', name='power_remaining_pop_capacity', field=models.FloatField(blank=True, help_text='Remaining Capacity of POP (Gbps) - (-1 indicates capacity is unknown)', null=True), ), migrations.AddField( model_name='community', name='transmission_line_description', field=models.CharField(blank=True, max_length=255, null=True), ), migrations.AddField( model_name='community', name='transmission_line_voltage', field=models.FloatField(blank=True, help_text='Transmission Line Voltage (kV)', null=True), ), migrations.AddField( model_name='community', name='transmission_lines_owner', field=models.CharField(blank=True, max_length=255, null=True), ), ]

35.833333

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0.606718

197

1,935

5.791878

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0.126205

0.161262

0.189308

0.708151

0.674847

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0.419807

0

0.023055

0.282687

1,935

53

143

36.509434

0.798991

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0

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1

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false

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0.085106

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null

0

1

0

1

0

1

0

null

0

4

a92661ec1dd53d1fd822c9d559b2aca1664033b7

168

py

Python

src/preprocessing/plaintext_preprocessor.py

tiefenauer/ip7-python

512105ba39110ec77d2ea0961dd7c2a42d4ec26d

[ "MIT" ]

null

src/preprocessing/plaintext_preprocessor.py

tiefenauer/ip7-python

512105ba39110ec77d2ea0961dd7c2a42d4ec26d

[ "MIT" ]

null

src/preprocessing/plaintext_preprocessor.py

tiefenauer/ip7-python

512105ba39110ec77d2ea0961dd7c2a42d4ec26d

[ "MIT" ]

null

from src.preprocessing.preprocessor import Preprocessor class PlaintextPreprocessor(Preprocessor): def preprocess_single(self, row): return row.plaintext

24

55

0.791667

17

168

7.764706

0.823529

0

0.14881

168

7

56

24

0.923077

0

1

0.25

false

0

0.25

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

a94c1e18b766ab1b417b0a8d0472d9601c707714

158

py

Python

1 - Solving a system of differential equations by scipy.integrate.odeint/code.py

m0m0khan/stackoverflow-answers

1bee1d535db5efe406d976616407e70793deaa17

[ "MIT" ]

null

1 - Solving a system of differential equations by scipy.integrate.odeint/code.py

m0m0khan/stackoverflow-answers

1bee1d535db5efe406d976616407e70793deaa17

[ "MIT" ]

null

1 - Solving a system of differential equations by scipy.integrate.odeint/code.py

m0m0khan/stackoverflow-answers

1bee1d535db5efe406d976616407e70793deaa17

[ "MIT" ]

null

def f(t): # relation between f and t return value def rxn1(C,t): return np.array([f(t)*C0/v-f(t)*C[0]/v-k*C[0], f(t)*C[0]/v-f(t)*C[1]/v-k*C[1]])

22.571429

83

0.531646

42

158

2

0.404762

0.119048

0.107143

0.095238

0.119048

0

0.053846

0.177215

158

6

84

26.333333

0.592308

0.151899

0

1

0.5

false

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

4

a9502999e63d4061b8955caecf0e855cbeabebab

221

py

Python

mmdet3d/core/points/__init__.py

dreamerlin/mmdetection3d

20b163a478da83f5ce6fe1c565ea3845cb17e858

[ "Apache-2.0" ]

2

2021-04-18T12:18:08.000Z

2021-06-16T01:43:48.000Z

mmdet3d/core/points/__init__.py

dreamerlin/mmdetection3d

20b163a478da83f5ce6fe1c565ea3845cb17e858

[ "Apache-2.0" ]

null

mmdet3d/core/points/__init__.py

dreamerlin/mmdetection3d

20b163a478da83f5ce6fe1c565ea3845cb17e858

[ "Apache-2.0" ]

2

2021-04-17T10:30:57.000Z

2021-09-25T04:25:33.000Z

from .base_points import BasePoints from .cam_points import CameraPoints from .depth_points import DepthPoints from .lidar_points import LiDARPoints __all__ = ['BasePoints', 'CameraPoints', 'DepthPoints', 'LiDARPoints']

31.571429

70

0.81448

25

221

6.88

0.48

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0

0.104072

221

6

71

36.833333

0.868687

0

0.199095

0

1

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false

0

0.8

0

0.8

0

1

0

null

1

0

1

0

null

0

1

0

4

a9622c530f614bdbdfa307f4ea5a31746994dfe2

178

py

Python

application/config/social_links.py

angelaaaateng/awesome-panel

ac3a5c9a382ce796798e74c967ad4a8d20f9eb2c

[ "Apache-2.0" ]

null

application/config/social_links.py

angelaaaateng/awesome-panel

ac3a5c9a382ce796798e74c967ad4a8d20f9eb2c

[ "Apache-2.0" ]

null

application/config/social_links.py

angelaaaateng/awesome-panel

ac3a5c9a382ce796798e74c967ad4a8d20f9eb2c

[ "Apache-2.0" ]

null

"""This module provides the SOCIAL_LINKS list of social links""" from package.awesome_panel.application.models import SocialLink SOCIAL_LINKS = [SocialLink(name="Twitter")]

35.6

65

0.786517

23

178

5.956522

0.782609

0.240876

0

0.117978

178

4

66

44.5

0.872611

0.325843

0

0.063636

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

4

a9829d34aa01d72c0f7a78ec50c17b7565c63ce8

462

py

Python

src/pactor/ast.py

kstrempel/pactor

bc12dd6253bec7c08f691697108dcabd2a1c0e00

[ "MIT" ]

1

2021-03-19T21:36:35.000Z

src/pactor/ast.py

kstrempel/pactor

bc12dd6253bec7c08f691697108dcabd2a1c0e00

[ "MIT" ]

null

src/pactor/ast.py

kstrempel/pactor

bc12dd6253bec7c08f691697108dcabd2a1c0e00

[ "MIT" ]

null

from abc import ABC, abstractmethod from pactor.vm import VM class Node(ABC): @abstractmethod def run(self, stack): pass class Ast: def __init__(self): self.__nodes = [] def add_node(self, node: Node): self.__nodes.append(node) def add_node_beginning(self, node: Node): self.__nodes = [node] + self.__nodes @property def nodes(self): return self.__nodes @property def first_node(self): return self.__nodes[0]

14.903226

43

0.675325

64

462

4.5625

0.359375

0.184932

0.133562

0.109589

0.143836

0

0.002762

0.21645

462

30

44

15.4

0.803867

0

0.105263

0

1

0.315789

false

0.052632

0.105263

0.631579

0

null

0

null

0

1

0

1

0

1

0

4

8d4b14d6d57318f556522469216b4a25cd6cadc3

54

py

Python

spec/fixtures/semgrep/trivial.py

hstocks/salus

2c41c69954a7837678cf521ac9cc01b4714d6b58

[ "Apache-2.0" ]

625

2018-10-18T17:05:01.000Z

2022-03-29T18:09:15.000Z

spec/fixtures/semgrep/trivial.py

hstocks/salus

2c41c69954a7837678cf521ac9cc01b4714d6b58

[ "Apache-2.0" ]

250

2018-10-18T17:05:56.000Z

2022-03-24T00:30:40.000Z

spec/fixtures/semgrep/trivial.py

hstocks/salus

2c41c69954a7837678cf521ac9cc01b4714d6b58

[ "Apache-2.0" ]

128

2018-10-18T19:42:08.000Z

2022-03-25T21:09:00.000Z

# https://semgrep.live/DdG if 3 == 3: print('3!')

13.5

26

0.537037

9

54

3.222222

0.777778

0

0.069767

0.203704

54

4

27

13.5

0.604651

0.444444

0

0.068966

0

1

0

true

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

4

8d7362d20bfe01538aca9b102d58c370f26ce79a

5,391

py

Python

test/apps/minermedic/resources/miners/antminer_s9.py

holitics/minermedic

39dd03e58d665bea23f1e9c9ab134a794d092cb1

[ "Apache-2.0" ]

2

2020-02-13T15:32:43.000Z

2020-04-08T04:10:10.000Z

test/apps/minermedic/resources/miners/antminer_s9.py

alimogh/minermedic

39dd03e58d665bea23f1e9c9ab134a794d092cb1

[ "Apache-2.0" ]

11

2019-11-23T00:20:23.000Z

2020-01-02T02:17:55.000Z

test/apps/minermedic/resources/miners/antminer_s9.py

alimogh/minermedic

39dd03e58d665bea23f1e9c9ab134a794d092cb1

[ "Apache-2.0" ]

2

2020-06-15T22:32:43.000Z

2020-07-17T18:40:58.000Z

routes = { '{"command": "stats"}' : {"STATUS":[{"STATUS":"S","When":1553711204,"Code":70,"Msg":"BMMiner stats","Description":"bmminer 1.0.0"}],"STATS":[{"BMMiner":"2.0.0","Miner":"16.8.1.3","CompileTime":"Fri Nov 17 17:37:49 CST 2017","Type":"Antminer S9"},{"STATS":0,"ID":"BC50","Elapsed":248,"Calls":0,"Wait":0.000000,"Max":0.000000,"Min":99999999.000000,"GHS 5s":"13604.84","GHS av":13884.11,"miner_count":3,"frequency":"650","fan_num":2,"fan1":0,"fan2":0,"fan3":5880,"fan4":0,"fan5":0,"fan6":5760,"fan7":0,"fan8":0,"temp_num":3,"temp1":0,"temp2":0,"temp3":0,"temp4":0,"temp5":0,"temp6":62,"temp7":60,"temp8":60,"temp9":0,"temp10":0,"temp11":0,"temp12":0,"temp13":0,"temp14":0,"temp15":0,"temp16":0,"temp2_1":0,"temp2_2":0,"temp2_3":0,"temp2_4":0,"temp2_5":0,"temp2_6":77,"temp2_7":75,"temp2_8":75,"temp2_9":0,"temp2_10":0,"temp2_11":0,"temp2_12":0,"temp2_13":0,"temp2_14":0,"temp2_15":0,"temp2_16":0,"temp3_1":0,"temp3_2":0,"temp3_3":0,"temp3_4":0,"temp3_5":0,"temp3_6":0,"temp3_7":0,"temp3_8":0,"temp3_9":0,"temp3_10":0,"temp3_11":0,"temp3_12":0,"temp3_13":0,"temp3_14":0,"temp3_15":0,"temp3_16":0,"freq_avg1":0.00,"freq_avg2":0.00,"freq_avg3":0.00,"freq_avg4":0.00,"freq_avg5":0.00,"freq_avg6":642.06,"freq_avg7":606.00,"freq_avg8":645.77,"freq_avg9":0.00,"freq_avg10":0.00,"freq_avg11":0.00,"freq_avg12":0.00,"freq_avg13":0.00,"freq_avg14":0.00,"freq_avg15":0.00,"freq_avg16":0.00,"total_rateideal":13501.26,"total_freqavg":631.28,"total_acn":189,"total_rate":13604.84,"chain_rateideal1":0.00,"chain_rateideal2":0.00,"chain_rateideal3":0.00,"chain_rateideal4":0.00,"chain_rateideal5":0.00,"chain_rateideal6":4512.30,"chain_rateideal7":4352.29,"chain_rateideal8":4636.67,"chain_rateideal9":0.00,"chain_rateideal10":0.00,"chain_rateideal11":0.00,"chain_rateideal12":0.00,"chain_rateideal13":0.00,"chain_rateideal14":0.00,"chain_rateideal15":0.00,"chain_rateideal16":0.00,"temp_max":62,"Device Hardware%":0.0000,"no_matching_work":0,"chain_acn1":0,"chain_acn2":0,"chain_acn3":0,"chain_acn4":0,"chain_acn5":0,"chain_acn6":63,"chain_acn7":63,"chain_acn8":63,"chain_acn9":0,"chain_acn10":0,"chain_acn11":0,"chain_acn12":0,"chain_acn13":0,"chain_acn14":0,"chain_acn15":0,"chain_acn16":0,"chain_acs1":"","chain_acs2":"","chain_acs3":"","chain_acs4":"","chain_acs5":"","chain_acs6":" oooooooo oooooooo oooooooo oooooooo oooooooo oooooooo oooooooo ooooooo","chain_acs7":" oooooooo oooooooo oooooooo oooooooo oooooooo oooooooo oooooooo ooooooo","chain_acs8":" oooooooo oooooooo oooooooo oooooooo oooooooo oooooooo oooooooo ooooooo","chain_acs9":"","chain_acs10":"","chain_acs11":"","chain_acs12":"","chain_acs13":"","chain_acs14":"","chain_acs15":"","chain_acs16":"","chain_hw1":0,"chain_hw2":0,"chain_hw3":0,"chain_hw4":0,"chain_hw5":0,"chain_hw6":0,"chain_hw7":0,"chain_hw8":0,"chain_hw9":0,"chain_hw10":0,"chain_hw11":0,"chain_hw12":0,"chain_hw13":0,"chain_hw14":0,"chain_hw15":0,"chain_hw16":0,"chain_rate1":"","chain_rate2":"","chain_rate3":"","chain_rate4":"","chain_rate5":"","chain_rate6":"4631.20","chain_rate7":"4279.31","chain_rate8":"4694.33","chain_rate9":"","chain_rate10":"","chain_rate11":"","chain_rate12":"","chain_rate13":"","chain_rate14":"","chain_rate15":"","chain_rate16":"","chain_xtime6":"{}","chain_xtime7":"{}","chain_xtime8":"{}","chain_offside_6":"0","chain_offside_7":"0","chain_offside_8":"0","chain_opencore_6":"1","chain_opencore_7":"1","chain_opencore_8":"1","miner_version":"16.8.1.3","miner_id":"80108c8c6880881c"}],"id":1}, '{"command": "pools"}' : {"STATUS":[{"STATUS":"S","When":1553711204,"Code":7,"Msg":"3 Pool(s)","Description":"bmminer 1.0.0"}],"POOLS":[{"POOL":0,"URL":"stratum+tcp://sha256.usa.nicehash.com:3334","Status":"Alive","Priority":0,"Quota":1,"Long Poll":"N","Getworks":12,"Accepted":0,"Rejected":0,"Discarded":137,"Stale":0,"Get Failures":0,"Remote Failures":0,"User":"3J6HNskoH271PVPFvfAmBqUmarMFjwAAAA","Last Share Time":"0","Diff":"500K","Diff1 Shares":0,"Proxy Type":"","Proxy":"","Difficulty Accepted":0.00000000,"Difficulty Rejected":0.00000000,"Difficulty Stale":0.00000000,"Last Share Difficulty":0.00000000,"Has Stratum":True,"Stratum Active":True,"Stratum URL":"sha256.usa.nicehash.com","Has GBT":False,"Best Share":845408,"Pool Rejected%":0.0000,"Pool Stale%":0.0000},{"POOL":1,"URL":"stratum+tcp://stratum.antpool.com:3333","Status":"Alive","Priority":1,"Quota":1,"Long Poll":"N","Getworks":1,"Accepted":0,"Rejected":0,"Discarded":0,"Stale":0,"Get Failures":0,"Remote Failures":0,"User":"antminer_1","Last Share Time":"0","Diff":"","Diff1 Shares":0,"Proxy Type":"","Proxy":"","Difficulty Accepted":0.00000000,"Difficulty Rejected":0.00000000,"Difficulty Stale":0.00000000,"Last Share Difficulty":0.00000000,"Has Stratum":True,"Stratum Active":False,"Stratum URL":"","Has GBT":False,"Best Share":0,"Pool Rejected%":0.0000,"Pool Stale%":0.0000},{"POOL":2,"URL":"stratum+tcp://cn.ss.btc.com:3333","Status":"Dead","Priority":2,"Quota":1,"Long Poll":"N","Getworks":0,"Accepted":0,"Rejected":0,"Discarded":0,"Stale":0,"Get Failures":0,"Remote Failures":0,"User":"antminer.1","Last Share Time":"0","Diff":"","Diff1 Shares":0,"Proxy Type":"","Proxy":"","Difficulty Accepted":0.00000000,"Difficulty Rejected":0.00000000,"Difficulty Stale":0.00000000,"Last Share Difficulty":0.00000000,"Has Stratum":True,"Stratum Active":False,"Stratum URL":"","Has GBT":False,"Best Share":0,"Pool Rejected%":0.0000,"Pool Stale%":0.0000}],"id":1} }

1,078.2

3,447

0.701354

893

5,391

4.059351

0.318029

0.054621

0.09931

0.105931

0.362207

0.33269

0.296552

0.21931

0

0.164173

0.020404

5,391

4

3,448

1,347.75

0.52225

0

0.632536

0.031349

0

1

0

false

0

null

0

1

0

1

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null

0

4

8da8dee9e1d93aeae78071dc82854913911f054b

113

py

Python

antiphishme/src/db_config.py

TheArqsz/AntiPhishMe-backend

3ae38059e410152ae1976815c209829ac08f47a5

[ "MIT" ]

1

2020-05-28T11:45:22.000Z

antiphishme/src/db_config.py

TheArqsz/AntiPhishMe-backend

3ae38059e410152ae1976815c209829ac08f47a5

[ "MIT" ]

1

2021-03-31T19:56:26.000Z

antiphishme/src/db_config.py

TheArqsz/AntiPhishMe-backend

3ae38059e410152ae1976815c209829ac08f47a5

[ "MIT" ]

2

2020-05-28T16:45:45.000Z

2021-09-07T14:16:44.000Z

from antiphishme.src.config import * from flask_sqlalchemy import SQLAlchemy db = SQLAlchemy(connexion_app.app)

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py

Python

servo/data/servo_sweetberry_rails_addr.py

neverware-mirrors/hdctools

dd7f911bb9051e615af7fcb71d921bd481f934fb

[ "BSD-3-Clause" ]

null

servo/data/servo_sweetberry_rails_addr.py

neverware-mirrors/hdctools

dd7f911bb9051e615af7fcb71d921bd481f934fb

[ "BSD-3-Clause" ]

null

servo/data/servo_sweetberry_rails_addr.py

neverware-mirrors/hdctools

dd7f911bb9051e615af7fcb71d921bd481f934fb

[ "BSD-3-Clause" ]

null

# Copyright 2018 The Chromium OS Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. config_type='sweetberry' # the names j2, j3, and j4 are the white banks on sweetberry # Note that here the bank name in the mux position is optional # as it only gets used to generate a docstring help message inas = [ ('sweetberry', '0x40:3', 'j2_1' , 5.0, 0.010, 'j2', False), ('sweetberry', '0x40:1', 'j2_2' , 5.0, 0.010, 'j2', False), ('sweetberry', '0x40:2', 'j2_3' , 5.0, 0.010, 'j2', False), ('sweetberry', '0x40:0', 'j2_4' , 5.0, 0.010, 'j2', False), ('sweetberry', '0x41:3', 'j2_5' , 5.0, 0.010, 'j2', False), ('sweetberry', '0x41:1', 'j2_6' , 5.0, 0.010, 'j2', False), ('sweetberry', '0x41:2', 'j2_7' , 5.0, 0.010, 'j2', False), ('sweetberry', '0x41:0', 'j2_8' , 5.0, 0.010, 'j2', False), ('sweetberry', '0x42:3', 'j2_9' , 5.0, 0.010, 'j2', False), ('sweetberry', '0x42:1', 'j2_10', 5.0, 0.010, 'j2', False), ('sweetberry', '0x42:2', 'j2_11', 5.0, 0.010, 'j2', False), ('sweetberry', '0x42:0', 'j2_12', 5.0, 0.010, 'j2', False), ('sweetberry', '0x43:3', 'j2_13', 5.0, 0.010, 'j2', False), ('sweetberry', '0x43:1', 'j2_14', 5.0, 0.010, 'j2', False), ('sweetberry', '0x43:2', 'j2_15', 5.0, 0.010, 'j2', False), ('sweetberry', '0x43:0', 'j2_16', 5.0, 0.010, 'j2', False), ('sweetberry', '0x44:3', 'j3_1' , 5.0, 0.010, 'j3', False), ('sweetberry', '0x44:1', 'j3_2' , 5.0, 0.010, 'j3', False), ('sweetberry', '0x44:2', 'j3_3' , 5.0, 0.010, 'j3', False), ('sweetberry', '0x44:0', 'j3_4' , 5.0, 0.010, 'j3', False), ('sweetberry', '0x45:3', 'j3_5' , 5.0, 0.010, 'j3', False), ('sweetberry', '0x45:1', 'j3_6' , 5.0, 0.010, 'j3', False), ('sweetberry', '0x45:2', 'j3_7' , 5.0, 0.010, 'j3', False), ('sweetberry', '0x45:0', 'j3_8' , 5.0, 0.010, 'j3', False), ('sweetberry', '0x46:3', 'j3_9' , 5.0, 0.010, 'j3', False), ('sweetberry', '0x46:1', 'j3_10', 5.0, 0.010, 'j3', False), ('sweetberry', '0x46:2', 'j3_11', 5.0, 0.010, 'j3', False), ('sweetberry', '0x46:0', 'j3_12', 5.0, 0.010, 'j3', False), ('sweetberry', '0x47:3', 'j3_13', 5.0, 0.010, 'j3', False), ('sweetberry', '0x47:1', 'j3_14', 5.0, 0.010, 'j3', False), ('sweetberry', '0x47:2', 'j3_15', 5.0, 0.010, 'j3', False), ('sweetberry', '0x47:0', 'j3_16', 5.0, 0.010, 'j3', False), ('sweetberry', '0x48:3', 'j4_1' , 5.0, 0.010, 'j4', False), ('sweetberry', '0x48:1', 'j4_2' , 5.0, 0.010, 'j4', False), ('sweetberry', '0x48:2', 'j4_3' , 5.0, 0.010, 'j4', False), ('sweetberry', '0x48:0', 'j4_4' , 5.0, 0.010, 'j4', False), ('sweetberry', '0x49:3', 'j4_5' , 5.0, 0.010, 'j4', False), ('sweetberry', '0x49:1', 'j4_6' , 5.0, 0.010, 'j4', False), ('sweetberry', '0x49:2', 'j4_7' , 5.0, 0.010, 'j4', False), ('sweetberry', '0x49:0', 'j4_8' , 5.0, 0.010, 'j4', False), ('sweetberry', '0x4a:3', 'j4_9' , 5.0, 0.010, 'j4', False), ('sweetberry', '0x4a:1', 'j4_10', 5.0, 0.010, 'j4', False), ('sweetberry', '0x4a:2', 'j4_11', 5.0, 0.010, 'j4', False), ('sweetberry', '0x4a:0', 'j4_12', 5.0, 0.010, 'j4', False), ('sweetberry', '0x4b:3', 'j4_13', 5.0, 0.010, 'j4', False), ('sweetberry', '0x4b:1', 'j4_14', 5.0, 0.010, 'j4', False), ('sweetberry', '0x4b:2', 'j4_15', 5.0, 0.010, 'j4', False), ('sweetberry', '0x4b:0', 'j4_16', 5.0, 0.010, 'j4', False), ]

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570a519759828bfe1b5a0ca80c7dbc44d199db0b

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py

Python

third_party/universal-ctags/ctags/Units/parser-python.r/triple-quotes-in-default-arg.d/input.py

f110/wing

31b259f723b57a6481252a4b8b717fcee6b01ff4

[ "MIT" ]

4

2017-02-07T20:04:31.000Z

2022-01-30T14:04:45.000Z

third_party/universal-ctags/ctags/Units/parser-python.r/triple-quotes-in-default-arg.d/input.py

f110/wing

31b259f723b57a6481252a4b8b717fcee6b01ff4

[ "MIT" ]

1

2018-01-07T19:14:53.000Z

third_party/universal-ctags/ctags/Units/parser-python.r/triple-quotes-in-default-arg.d/input.py

f110/wing

31b259f723b57a6481252a4b8b717fcee6b01ff4

[ "MIT" ]

1

2021-04-26T09:00:06.000Z

def f(var=(""" str """,1)): pass anothervar=1

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570ebb2337fe6118fceb643f3e74641b86a3c54c

58

py

Python

lishixian/docs/__init__.py

znsoooo/lishixian

1fbf8529154cc3a215900f80f926bb87ef471761

[ "MIT" ]

4

2021-06-09T12:18:01.000Z

2021-11-02T13:57:26.000Z

lishixian/docs/__init__.py

znsoooo/lishixian

1fbf8529154cc3a215900f80f926bb87ef471761

[ "MIT" ]

null

lishixian/docs/__init__.py

znsoooo/lishixian

1fbf8529154cc3a215900f80f926bb87ef471761

[ "MIT" ]

null

# for pip install can be find and copy to package folder.

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5713fce1586ea572241f7b6548ca3ce773abe0cf

92

py

Python

dlcli/__main__.py

outlyerapp/dlcli

57458b7346a9b9c92cf99628f6c051589a9edb27

[ "Apache-2.0" ]

1

2017-12-06T11:07:48.000Z

dlcli/__main__.py

outlyerapp/dlcli

57458b7346a9b9c92cf99628f6c051589a9edb27

[ "Apache-2.0" ]

1

2020-02-22T20:29:15.000Z

dlcli/__main__.py

outlyerapp/dlcli

57458b7346a9b9c92cf99628f6c051589a9edb27

[ "Apache-2.0" ]

null

"""Executed when package directory is called as a script""" from .dlcli import main main()

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null

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1

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1

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4

572bd3cfe454bc50a6002fdeeb9c268cdee89ff0

24

py

Python

Python training/First steps/Exercise_7.py

tarsic99/Python_coursera

2748a4f0c43cc21eb4c71b9494e86bc843c8e258

[ "Apache-2.0" ]

null

Python training/First steps/Exercise_7.py

tarsic99/Python_coursera

2748a4f0c43cc21eb4c71b9494e86bc843c8e258

[ "Apache-2.0" ]

null

Python training/First steps/Exercise_7.py

tarsic99/Python_coursera

2748a4f0c43cc21eb4c71b9494e86bc843c8e258

[ "Apache-2.0" ]

null

n = input() print(n[0])

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5731decd33b23a8a5392ce77392487b841743b4f

534

py

Python

affinity_pdbdataset/utility/autodock_utility/autodock_util.py

Reimilia/Affinity_pdbdataset

26538e9f6efff2251d36a5e1caa6689d1293241c

[ "MIT" ]

null

affinity_pdbdataset/utility/autodock_utility/autodock_util.py

Reimilia/Affinity_pdbdataset

26538e9f6efff2251d36a5e1caa6689d1293241c

[ "MIT" ]

null

affinity_pdbdataset/utility/autodock_utility/autodock_util.py

Reimilia/Affinity_pdbdataset

26538e9f6efff2251d36a5e1caa6689d1293241c

[ "MIT" ]

null

''' ''' from affinity_pdbdataset.Config import Autodock_program_store_dir,Pythonsh_DIR from affinity_pdbdataset.utility.file_utility import atomgroup_filepack import prody as pd class autodock_executor: def __init__(self): pass def get_receptor_gridmaps(self): pass def get_ligand_gridmaps(self): pass def get_complex_gridmaps(self): pass def do_auto_grid(self): pass def do_auto_dock(self): pass def get_autovina_scoredict(self): pass

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1

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93914dcb5455b14ce952a92b54dc6f399e68c505

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py

Python

Chapter02/apt_install_package.py

PacktPublishing/Secret-Recipes-of-the-Python-Ninja

805d00c7a54927ba94c9077e9a580508ee3c5e56

[ "MIT" ]

13

2018-06-21T01:44:49.000Z

2021-12-01T10:49:53.000Z

Chapter02/apt_install_package.py

PacktPublishing/Secret-Recipes-of-the-Python-Ninja

805d00c7a54927ba94c9077e9a580508ee3c5e56

[ "MIT" ]

null

Chapter02/apt_install_package.py

PacktPublishing/Secret-Recipes-of-the-Python-Ninja

805d00c7a54927ba94c9077e9a580508ee3c5e56

[ "MIT" ]

6

2018-10-05T08:29:24.000Z

2022-01-11T14:49:50.000Z

$ sudo apt install python[3]-<package>

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93935d7488b3bf913bd2f314f1c1a6327240ce23

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py

Python

tests/test_element_assess.py

geosharma/liquepy

d567f6a7eb93eb76218f718375f2d34355d7edd4

[ "MIT" ]

4

2020-04-12T14:49:24.000Z

2020-09-22T09:28:10.000Z

tests/test_element_assess.py

geosharma/liquepy

d567f6a7eb93eb76218f718375f2d34355d7edd4

[ "MIT" ]

null

tests/test_element_assess.py

geosharma/liquepy

d567f6a7eb93eb76218f718375f2d34355d7edd4

[ "MIT" ]

4

2019-11-02T02:11:34.000Z

2021-04-30T06:06:41.000Z

import numpy as np import eqsig from liquepy.element.models import ShearTest from liquepy.element import assess def test_with_one_cycle_no_dissipation(): strs = np.array([0, -1, -2, -3, -4, -3, -2, -1, 0, 1, 2, 3, 4, 3, 2, 1, 0]) tau = np.array([0, -2, -4, -6, -8, -6, -4, -2, 0, 2, 4, 6, 8, 6, 4, 2, 0]) expected_energy = 0 assert np.isclose(expected_energy, assess.calc_diss_energy_fd(tau, strs)[-1]) def test_with_one_cycle_no_dissipation_with_offset(): strs = np.array([0, -1, -2, -3, -4, -3, -2, -1, 0, 1, 2, 3, 4, 3, 2, 1, 0]) + 4 tau = np.array([0, -2, -4, -6, -8, -6, -4, -2, 0, 2, 4, 6, 8, 6, 4, 2, 0]) expected_energy = 0 assert np.isclose(expected_energy, assess.calc_diss_energy_fd(tau, strs)[-1]) def test_with_one_cycle_circle(): angle = np.linspace(0, 2 * np.pi, 3600) strs = 4 * np.sin(angle) tau = 4 * np.cos(angle) expected_energy = 4 ** 2 * np.pi assert np.isclose(expected_energy, assess.calc_diss_energy_fd(tau, strs)[-1]) def test_with_one_cycle_circle_with_offset(): angle = np.linspace(0, 2 * np.pi, 3600) strs = 4 * np.sin(angle) + 4 tau = 4 * np.cos(angle) + 10 expected_energy = 4 ** 2 * np.pi assert np.isclose(expected_energy, assess.calc_diss_energy_fd(tau, strs)[-1]) def test_with_one_cycle_triangles(): strs = np.array([0, -1, -2, -3, -4, -4, -3, -2, -1, 0, 1, 2, 3, 4, 4, 3, 2, 1, 0]) tau = np.array([0, -2, -4, -6, -8, 0, 0, 0, 0, 0, 2, 4, 6, 8, 0, 0, 0, 0, 0]) expected_energy = 8 * 4. assert np.isclose(expected_energy, assess.calc_diss_energy_fd(tau, strs)[-1]) def test_average_of_absolute_simple(): values = np.array([4, -3]) expected = 12.5 / 7 av_abs = assess.average_of_absolute_via_trapz(values) assert np.isclose(av_abs, expected), (av_abs, expected) def test_average_of_absolute_matching_neg(): values = np.array([3, -3, 3]) expected = 1.5 av_abs = assess.average_of_absolute_via_trapz(values) assert np.isclose(av_abs[0], expected), (av_abs[0], expected) assert np.isclose(av_abs[1], expected), (av_abs[1], expected) def test_determine_cum_stored_energy_series_simple(): gamma = np.array([0, 4, 0, -3, 0]) tau = np.array([0, 4, 0, -3, 0]) two_times_triangle_1 = 2 * (4 * 4 / 2) two_times_triangle_2 = 2 * (3 * 3 / 2) expected_energy = two_times_triangle_1 + two_times_triangle_2 et = ShearTest(tau, gamma, 1) energy = assess.calc_case_et(et) assert energy[-1] == expected_energy, (energy[-1], expected_energy) def test_small_cycle_behaviour_increases_case(): gamma_1 = np.array([0, 4, -2, 0]) tau_1 = np.array([0, 4, -4, 0]) et_1 = ShearTest(tau_1, gamma_1, 1) energy_1 = assess.calc_case_et(et_1) gamma_2 = np.array([0, 4, 3, 4, -2, 0]) tau_2 = np.array([0, 4, 1, 1, -4, 0]) et_2 = ShearTest(tau_2, gamma_2, 1) energy_2 = assess.calc_case_et(et_2) assert energy_2[-1] > energy_1[-1] def skip_test_strain_bulge_behaviour_increases_case(): gamma_1 = np.array([0, 4, -2, 0]) tau_1 = np.array([0, 4, -4, 0]) et_1 = ShearTest(tau_1, gamma_1, 1) energy_1 = assess.calc_case_et(et_1) gamma_2 = np.array([0, 4, 4.1, -2, 0]) tau_2 = np.array([0, 4, 1, -4, 0]) et_2 = ShearTest(tau_2, gamma_2, 1) energy_2 = assess.calc_case_et(et_2) assert energy_2[-1] > energy_1[-1] def test_determine_cum_stored_energy_series_simple_up_down(): """ /\ :return: """ gamma = np.array([0., 1., 0.5]) tau = np.array([0., 1., 0]) expected_delta_e = 0.75 # two triangles (1x1x0.5 + 1x0.5x0.5) et = ShearTest(tau, gamma) energy = assess.calc_case_et(et) assert energy[-1] == expected_delta_e, energy def test_determine_cum_stored_energy_series_simple_up_down_neg(): gamma = np.array([0., 1., -1]) tau = np.array([0., 1., -1]) expected_delta_e = 1.5 et = ShearTest(tau, gamma) energy = assess.calc_case_et(et) assert energy[-1] == expected_delta_e, energy def test_determine_cum_stored_energy_series_simple_close_loop(): gamma = np.array([1., -1, 1]) tau = np.array([1., -1, 1]) expected_delta_e = 2 et = ShearTest(tau, gamma) energy = assess.calc_case_et(et) assert energy[-1] == expected_delta_e, energy def test_determine_cum_stored_energy_series_simple_4points(): gamma = np.array([0, 1, -1, 2]) tau = np.array([0, 1, -1, 1]) step_1 = (0 + 1) / 2 * (1 - 0) step_2 = (0 + 2) / 2 * (1 - 0) expected_delta_e = step_1 * 4 + step_2 et = ShearTest(tau, gamma) energy = assess.calc_case_et(et) assert energy[-1] == expected_delta_e, (energy, expected_delta_e) def test_determine_cum_stored_energy_series_simple_trapz_zero(): gamma = np.array([0, 2, 1]) tau = np.array([0, 2, 1]) step_1 = (0 + 2) / 2 * (2 - 0) step_2 = (2 + 1) / 2 * abs(2 - 1) expected_delta_e = step_1 + step_2 et = ShearTest(tau, gamma) energy = assess.calc_case_et(et) assert energy[-1] == expected_delta_e, (energy, expected_delta_e) def test_determine_cum_stored_energy_series_simple_trapz(): gamma = np.array([1, 3, 2]) tau = np.array([1, 2, 0]) step_1 = (0 + 1) / 2 * (2 - 0) step_2 = (2 + 1) / 2 * abs(2 - 0) expected_delta_e = step_1 + step_2 et = ShearTest(tau, gamma) energy = assess.calc_case_et(et) assert energy[-1] == expected_delta_e, (energy, expected_delta_e) def test_determine_cum_stored_energy_series_simple_5points(): gamma = np.array([0, 2, 1, 3, 2]) tau = np.array([0, 2, 1, 2, 0]) step_1 = (0 + 2) / 2 * (2 - 0) step_2 = (2 + 1) / 2 * abs(2 - 1) step_3 = (0 + 1) / 2 * (2 - 0) step_4 = (2 + 1) / 2 * abs(2 - 0) expected_delta_e = step_1 + step_2 + step_3 + step_4 et = ShearTest(tau, gamma) energy = assess.calc_case_et(et) assert energy[-1] == expected_delta_e, (energy, expected_delta_e) def test_case_et_simple_6points(): gamma = np.array([0, 1, 0.5, 1.5, -1, 2]) tau = np.array([0, 1, 0.5, 1, -1, 1]) expected_delta_e = 4.375 et = ShearTest(tau, gamma) energy = assess.calc_case_et(et) assert energy[-1] == expected_delta_e, (energy, expected_delta_e) def test_get_energy_peaks_for_cyclic_loading(): fs = np.array([0, 1., 2., 3., 4., 5., 5.5, 5.5, 4., 3., 2.5, 2.0, 1., 0., -1, -2, -5, 1, 3, 3.5, 2.5, 3.5, 2.5, -1, -3]) ds = np.array([0, 0.5, 1., 1.5, 2.5, 3., 4.25, 5.5, 5.5, 5.25, 5.5, 5.25, 4., 3., 1.5, 0.5, -3, -2, -1, -0.5, -0.75, 1.5, 1., -1.5, -5]) inds = assess.get_energy_peaks_for_cyclic_loading(-fs, -ds) expected = np.array([0, 7, 16, 21, 24]) assert np.sum(abs(inds - expected)) == 0

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0

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0

1

0

null

0

4

939da0cd23fed24b8d8a1670fa70eb723a21f267

56

py

Python

tests/src/preprocess/extend_typevar.py

pystatic/pystatic

e93d372e46adf8a8f697a71b80f3c88d26272607

[ "MIT" ]

null

tests/src/preprocess/extend_typevar.py

pystatic/pystatic

e93d372e46adf8a8f697a71b80f3c88d26272607

[ "MIT" ]

null

tests/src/preprocess/extend_typevar.py

pystatic/pystatic

e93d372e46adf8a8f697a71b80f3c88d26272607

[ "MIT" ]

null

from typing import TypeVar I = TypeVar('I', bound=int)

14

27

0.714286

9

56

4.444444

0.777778

0.4

0

0.160714

56

3

28

18.666667

0.851064

0

0.017857

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

4

93a6bb30c11b90c8c46e23835641c22cf4e3cc2b

461

py

Python

gym_loop/agents/random_agent.py

KirillPlaksin/gym-loop

3708925820ebdc9bbdcc05a1f000f1bf0995f3df

[ "MIT" ]

1

2021-01-10T15:15:35.000Z

gym_loop/agents/random_agent.py

KirillPlaksin/gym-loop

3708925820ebdc9bbdcc05a1f000f1bf0995f3df

[ "MIT" ]

null

gym_loop/agents/random_agent.py

KirillPlaksin/gym-loop

3708925820ebdc9bbdcc05a1f000f1bf0995f3df

[ "MIT" ]

null

from .base_agent import BaseAgent class RandomAgent(BaseAgent): @staticmethod def get_default_parameters(): return {} def __init__(self, **params): super().__init__(**params) self.action_space = params["action_space"] def memorize(self, last_ob, action, reward, done, ob): pass def act(self, state, episode_num): return self.action_space.sample() def update(self, episode_num): pass

21.952381

58

0.644252

54

461

5.185185

0.574074

0.117857

0.107143

0

0.247289

461

20

59

23.05

0.806916

0

0.142857

0

0.02603

0

1

0.357143

false

0.142857

0.071429

0.142857

0.642857

0

null

0

null

0

1

0

1

0

1

0

4

93b212f4572b24dd862a6e546d1bd45672c90675

205

py

Python

users/admin.py

Jxiang2/task-manager

f7af07c9f1a9ac6264ced3924c799b3f223dfdc0

[ "MIT" ]

null

users/admin.py

Jxiang2/task-manager

f7af07c9f1a9ac6264ced3924c799b3f223dfdc0

[ "MIT" ]

null

users/admin.py

Jxiang2/task-manager

f7af07c9f1a9ac6264ced3924c799b3f223dfdc0

[ "MIT" ]

null

from django.contrib import admin from .models import Profile # register the user class ProfileAdmin(admin.ModelAdmin): readonly_fields = ('id','user_status') admin.site.register(Profile, ProfileAdmin)

29.285714

42

0.790244

26

205

6.153846

0.692308

0

0.112195

205

7

43

29.285714

0.879121

0.082927

0

0.069519

0

1

0

false

0

0.4

0

0.8

0

1

0

null

0

1

0

null

0

1

0

1

0

4

93f60abbf7673ed1f636236869e92408111dcd5a

229

py

Python

method_of_moments/__init__.py

AlbertFarkhutdinov/method_of_moments

0a69c63197d7f88a3b57356620b4d84e76543177

[ "MIT" ]

null

method_of_moments/__init__.py

AlbertFarkhutdinov/method_of_moments

0a69c63197d7f88a3b57356620b4d84e76543177

[ "MIT" ]

null

method_of_moments/__init__.py

AlbertFarkhutdinov/method_of_moments

0a69c63197d7f88a3b57356620b4d84e76543177

[ "MIT" ]

null

""" This package allows you to work with probability distributions with a specified mean values and variances. """ from .continuous import Beta, GenNBD, Norm from .discrete import Bernoulli, GPD, HGD, NBD, Poisson, QGD, ZiNBD

22.9

67

0.764192

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229

5.46875

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0

0.161572

229

9

68

25.444444

0.911458

0.462882

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

4

9e0dc3d82b401f605e3b6c19d7243313cd5a7bb4

107

py

Python

functions.py

Fatih032/Discord_botu

bb8e4f037e3bf395590ff581a195f76be5113374

[ "Apache-2.0" ]

null

functions.py

Fatih032/Discord_botu

bb8e4f037e3bf395590ff581a195f76be5113374

[ "Apache-2.0" ]

null

functions.py

Fatih032/Discord_botu

bb8e4f037e3bf395590ff581a195f76be5113374

[ "Apache-2.0" ]

null

from random import randint as r class Game: @staticmethod def zar_at(): return r(1,7)

17.833333

32

0.607477

16

107

4

0.9375

0

0.027397

0.317757

107

6

33

17.833333

0.849315

0

1

0.2

true

0

0.2

0.8

0

1

0

null

0

1

0

null

0

1

0

1

0

4

9e20232342907496e610befede2592f3ce3e338e

341

py

Python

src/components/game-server/lib/data/model/tictactoe/tictactoe_board.py

rorik/UBU-DMS

7c3fc38823478054499e233dd36b8b4430d3f3d3

[ "MIT" ]

null

src/components/game-server/lib/data/model/tictactoe/tictactoe_board.py

rorik/UBU-DMS

7c3fc38823478054499e233dd36b8b4430d3f3d3

[ "MIT" ]

null

src/components/game-server/lib/data/model/tictactoe/tictactoe_board.py

rorik/UBU-DMS

7c3fc38823478054499e233dd36b8b4430d3f3d3

[ "MIT" ]

1

2020-02-07T11:36:04.000Z

from lib.data.model.shared.abstract_board import AbstractBoard from lib.data.model.shared.cell import Cell from lib.data.model.shared.player import Player class TicTacToeBoard(AbstractBoard): def __init__(self, size): self.height = self.width = size self.board = [[Cell(j, i) for i in range(size)] for j in range(size)]

37.888889

77

0.733138

52

341

4.711538

0.461538

0.085714

0.134694

0.195918

0.269388

0

0.16129

341

9

77

37.888889

0.856643

0

1

0.142857

false

0

0.428571

0

0.714286

0

null

0

1

0

1

0

null

0

1

0

1

0

4

f53f814c77c6d99f66b08c3239bd0a44b8943c09

145

py

Python

allaccess/apps.py

ngaurav/aadhaar

0792701010bdd2a17a2f101876e88bd388defcae

[ "MIT" ]

33

2015-01-06T14:23:23.000Z

2020-12-09T12:09:34.000Z

allaccess/apps.py

ngaurav/aadhaar

0792701010bdd2a17a2f101876e88bd388defcae

[ "MIT" ]

29

2015-01-02T14:34:48.000Z

2021-06-10T18:17:07.000Z

allaccess/apps.py

ngaurav/aadhaar

0792701010bdd2a17a2f101876e88bd388defcae

[ "MIT" ]

28

2015-01-16T20:51:04.000Z

2020-07-03T02:51:46.000Z

try: from django.apps import AppConfig except ImportError: AppConfig = object class AllAccessConfig(AppConfig): name = 'allaccess'

16.111111

37

0.731034

15

145

7.066667

0.866667

0

0.2

145

8

38

18.125

0.913793

0

0.062069

0

1

0

false

0

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

f55d8849648dc69305c1e5aafdc6aad4d75c1a22

1,814

py

Python

SRC/engine/subproblemtype.py

usnistgov/OOF3D

4fd423a48aea9c5dc207520f02de53ae184be74c

[ "X11" ]

31

2015-04-01T15:59:36.000Z

2022-03-18T20:21:47.000Z

SRC/engine/subproblemtype.py

usnistgov/OOF3D

4fd423a48aea9c5dc207520f02de53ae184be74c

[ "X11" ]

3

2015-02-06T19:30:24.000Z

2017-05-25T14:14:31.000Z

SRC/engine/subproblemtype.py

usnistgov/OOF3D

4fd423a48aea9c5dc207520f02de53ae184be74c

[ "X11" ]

7

2015-01-23T15:19:22.000Z

2021-06-09T09:03:59.000Z

# -*- python -*- # This software was produced by NIST, an agency of the U.S. government, # and by statute is not subject to copyright in the United States. # Recipients of this software assume all responsibilities associated # with its operation, modification and maintenance. However, to # facilitate maintenance we ask that before distributing modified # versions of this software, you first contact the authors at # oof_manager@nist.gov. from ooflib.common import registeredclass from ooflib.common.IO import xmlmenudump import sys # SubProblemType subclasses describe CSubProblem subclass # instances. Using SubProblem or CSubProblem instances as parameter # values in OOF.Subproblem.New is a memory leak, because the parameter # keeps a copy of its value. Since SubProblems are large objects, and # tied to their Meshes, that's a bad idea. SubProblemType is # lightweight and not tied to a particular Mesh, so it's ok to have an # extra one live inside the parameter object. class SubProblemType(registeredclass.RegisteredClass): registry = [] tip = "Different varieties of Subproblems." discussion=xmlmenudump.loadFile('DISCUSSIONS/engine/reg/subproblemtype.xml') def get_dependencies(self): # Return the paths (colon separated strings) to the other # subproblems on which this one depends. return [] def update_dependency(self, newobject): #Update one dependency object pass def add_dependent(self, dependent): #Add the dependent to the dependents pass def remove_dependent(self, dependent): #Remove a dependent pass def get_dependents(self): # Return the paths (colon separated strings) to the other # subproblems that depends this one. return []

38.595745

80

0.727674

235

1,814

5.591489

0.565957

0.027397

0.021309

0.027397

0.091324

0

0.214994

1,814

46

81

39.434783

0.922753

0.620728

0

0.294118

0

0.114458

0.061747

0

1

0.294118

false

0.176471

0.117647

0.823529

0

null

0

null

0

1

0

1

0

1

0

4

f567ce3b3b2d056652020a288393a84815873658

103

py

Python

dit_helpdesk/rules_of_origin/apps.py

uktrade/dit-helpdesk

f5127daa46e920d33ec3f0b982136b65bba0353a

[ "MIT" ]

3

2019-10-24T10:39:38.000Z

2021-07-13T11:46:18.000Z

dit_helpdesk/rules_of_origin/apps.py

uktrade/dit-helpdesk

f5127daa46e920d33ec3f0b982136b65bba0353a

[ "MIT" ]

20

2020-01-22T11:16:24.000Z

2022-02-02T10:38:54.000Z

dit_helpdesk/rules_of_origin/apps.py

uktrade/dit-helpdesk

f5127daa46e920d33ec3f0b982136b65bba0353a

[ "MIT" ]

null

from django.apps import AppConfig class RulesOfOriginConfig(AppConfig): name = "rules_of_origin"

17.166667

37

0.786408

12

103

6.583333

0.916667

0

0.145631

103

5

38

20.6

0.897727

0

0.145631

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

192f4093484c0baf9fba37480641415fbdbc57ed

45

py

Python

HSCTF 2020/Pythagorean Tree Fractal 1/Fractal.py

Ishaan514/CTFs

643bf9b74fe01bdeea519bdf884616bb2a8ed85b

[ "Apache-2.0" ]

null

HSCTF 2020/Pythagorean Tree Fractal 1/Fractal.py

Ishaan514/CTFs

643bf9b74fe01bdeea519bdf884616bb2a8ed85b

[ "Apache-2.0" ]

null

HSCTF 2020/Pythagorean Tree Fractal 1/Fractal.py

Ishaan514/CTFs

643bf9b74fe01bdeea519bdf884616bb2a8ed85b

[ "Apache-2.0" ]

null

s = 0 for i in range(50): s += 2**i print s

11.25

19

0.533333

12

45

2

0.75

0

0.125

0.288889

45

4

20

11.25

0.625

0

null

0

null

0.25

1

0

null

0

1

0

null

0

1

0

4

1947c0ba6975ca5be538854bf4908ee0b6e3c15c

112

py

Python

apool/testing.py

Delaunay/apool

ac5241215b6407879007ed0c1e84c0657794aafd

[ "BSD-3-Clause" ]

null

apool/testing.py

Delaunay/apool

ac5241215b6407879007ed0c1e84c0657794aafd

[ "BSD-3-Clause" ]

null

apool/testing.py

Delaunay/apool

ac5241215b6407879007ed0c1e84c0657794aafd

[ "BSD-3-Clause" ]

null

def fun(a, b, c, d): return a + b + c + d def inc(a): return a + 1 def add(a, b): return a + b

9.333333

24

0.455357

24

112

2.125

0.416667

0.156863

0.117647

0.156863

0

0.014493

0.383929

112

11

25

10.181818

0.724638

0

1

0.5

false

0

0.5

1

0

1

0

null

0

null

0

1

0

1

0

4

195e4fb9bb42e4884513e74481dd6cd54b1f87ea

444

py

Python

iCount/genomes/__init__.py

zhouyu/iCount

c203a5b2c8fbcc2934bb2100be04d3290497cf7d

[ "MIT" ]

null

iCount/genomes/__init__.py

zhouyu/iCount

c203a5b2c8fbcc2934bb2100be04d3290497cf7d

[ "MIT" ]

null

iCount/genomes/__init__.py

zhouyu/iCount

c203a5b2c8fbcc2934bb2100be04d3290497cf7d

[ "MIT" ]

1

2020-06-18T21:01:41.000Z

""".. Line to protect from pydocstyle D205, D400. Genomes ======= This module provides access to `Ensembl`_ genome sequence and annotation. Segmentation into genes and into segments of same type (exon, intron, UTR, ...) is supported. .. automodule:: iCount.genomes.ensembl :members: .. automodule:: iCount.genomes.segment :members: .. _Ensembl: http://www.ensembl.org/index.html """ from . import ensembl from . import segment

20.181818

97

0.709459

55

444

5.690909

0.709091

0.102236

0.146965

0

0.016129

0.162162

444

21

98

21.142857

0.825269

0.878378

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

4

1999021796fcbfc3efbf2e76ea32d094a4f0c008

700

py

Python

python/DP/subset.py

hs634/algorithms

e411d747eb27a1c784605e44111de2703f6dde4d

[ "MIT" ]

null

python/DP/subset.py

hs634/algorithms

e411d747eb27a1c784605e44111de2703f6dde4d

[ "MIT" ]

null

python/DP/subset.py

hs634/algorithms

e411d747eb27a1c784605e44111de2703f6dde4d

[ "MIT" ]

null

__author__ = 'harsh' def find_contiguous_subset(subset): if len(subset) == 0: return 0 if len(subset) == 1: return subset[0] else: return max(subset[0] + find_contiguous_subset(subset[1:]), find_contiguous_subset(subset[1:])) def main(): subset = [4,-1,5,6,-13,2] k = find_contiguous_subset(subset) print k main() def find_contiguous_subset1(subset): max_ending_here = max_so_far = 0 for k in subset: max_ending_here = max(0, max_ending_here + k) max_so_far = max(max_ending_here, max_so_far) return max_so_far def main(): subset = [4,-1,5,6,-13,2] k = find_contiguous_subset1(subset) print k main()

18.918919

102

0.637143

108

700

3.833333

0.259259

0.202899

0.193237

0.251208

0.468599

0.270531

0.169082

0

0.046992

0.24

700

36

103

19.444444

0.731203

0

0.333333

0

0.007174

0

null

0

null

0.083333

0

null

1

0

null

0

1

0

4

19a07c95e18e9752543e9a273debf29416ec8957

78

py

Python

common/exceptions.py

svorcan/aws-prod-con

5adb89dc4e7f535624dcbcff833f8da1ab4e0930

[ "MIT" ]

null

common/exceptions.py

svorcan/aws-prod-con

5adb89dc4e7f535624dcbcff833f8da1ab4e0930

[ "MIT" ]

8

2021-02-02T22:07:43.000Z

2022-03-11T23:42:53.000Z

common/exceptions.py

stalker92/aws-prod-con

5adb89dc4e7f535624dcbcff833f8da1ab4e0930

[ "MIT" ]

null

class ConfigError(Exception): """Configuration loading error.""" pass

19.5

38

0.692308

7

78

7.714286

1

0

0.179487

78

3

39

26

0.84375

0.358974

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

4

5fdeaf7abb03d333412f6ef3291e801cd44653c9

153

py

Python

svmbir/__init__.py

dyang37/svmbir_dncnn

1a7a4fb37db17d71d4b6ea6c2fe2fff60acca459

[ "BSD-3-Clause" ]

null

svmbir/__init__.py

dyang37/svmbir_dncnn

1a7a4fb37db17d71d4b6ea6c2fe2fff60acca459

[ "BSD-3-Clause" ]

null

svmbir/__init__.py

dyang37/svmbir_dncnn

1a7a4fb37db17d71d4b6ea6c2fe2fff60acca459

[ "BSD-3-Clause" ]

null

from .svmbir import * from .phantom import * __all__ =['_svmbir_lib_path','_clear_cache','auto_sigma_x','auto_sigma_y', 'calc_weights','project','recon']

51

108

0.75817

22

153

4.636364

0.772727

0.176471

0

0.065359

153

3

108

51

0.713287

0

0.493506

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

5ff0095ad334b53027cc29464a5f6c5b8f615b36

259

py

Python

zilean/system/zilean_backuper.py

A-Hilaly/zilean

2b2e87969a0d8064e8b92b07c346a4006f93c795

[ "Apache-2.0" ]

null

zilean/system/zilean_backuper.py

A-Hilaly/zilean

2b2e87969a0d8064e8b92b07c346a4006f93c795

[ "Apache-2.0" ]

null

zilean/system/zilean_backuper.py

A-Hilaly/zilean

2b2e87969a0d8064e8b92b07c346a4006f93c795

[ "Apache-2.0" ]

null

class ZileanBackuper(object): def __init__(self): self._machines = None self._linked_databases = None @classmethod def backup_linked_databases(cls): pass @classmethod def backup_database(cls, db): pass

16.1875

37

0.633205

27

259

5.703704

0.592593

0.194805

0.25974

0

0.293436

259

15

38

17.266667

0.84153

0

0.4

0

1

0.3

false

0.2

0

0.4

0

1

0

null

0

1

0

null

0

1

0

1

0

4

272690efda5af4b14e7602b5602ab05e08fae91b

1,027

py

Python

saleor/attribute/migrations/0002_auto_20201030_1141.py

enesustundag/saleor

95ce4b577ca06110f4702e61f554e9d165ef5fd4

[ "CC-BY-4.0" ]

1

2020-03-14T02:07:53.000Z

saleor/attribute/migrations/0002_auto_20201030_1141.py

enesustundag/saleor

95ce4b577ca06110f4702e61f554e9d165ef5fd4

[ "CC-BY-4.0" ]

5

2021-06-10T20:57:04.000Z

2022-03-12T01:04:33.000Z

saleor/attribute/migrations/0002_auto_20201030_1141.py

enesustundag/saleor

95ce4b577ca06110f4702e61f554e9d165ef5fd4

[ "CC-BY-4.0" ]

1

2021-06-07T10:16:35.000Z

# Generated by Django 3.1 on 2020-10-30 11:41 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ("attribute", "0001_initial"), ("product", "0137_drop_attribute_models"), ] operations = [ migrations.AlterModelTable(name="assignedpageattribute", table=None,), migrations.AlterModelTable(name="assignedproductattribute", table=None,), migrations.AlterModelTable(name="assignedvariantattribute", table=None,), migrations.AlterModelTable(name="attribute", table=None,), migrations.AlterModelTable(name="attributepage", table=None,), migrations.AlterModelTable(name="attributeproduct", table=None,), migrations.AlterModelTable(name="attributetranslation", table=None,), migrations.AlterModelTable(name="attributevalue", table=None,), migrations.AlterModelTable(name="attributevaluetranslation", table=None,), migrations.AlterModelTable(name="attributevariant", table=None,), ]

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2729b185809de4f0e56fea8634f8cc36186c35bc

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py

Python

python/testData/intentions/PyAnnotateVariableTypeIntentionTest/typeCommentLocalWithTarget_after.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/intentions/PyAnnotateVariableTypeIntentionTest/typeCommentLocalWithTarget_after.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/intentions/PyAnnotateVariableTypeIntentionTest/typeCommentLocalWithTarget_after.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

from typing import BinaryIO def func(): with open('file.txt') as var: # type: [BinaryIO] var

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272ac36bd9ac87aa59a1bbe09d39e47fe12d7507

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py

Python

portal/migrations/0021_auto_20170909_1023.py

nickmvincent/ugc-val-est

b5cceda14ef5830f1befaddfccfd90a694c9677a

[ "MIT" ]

2

2019-11-13T19:56:05.000Z

2020-09-05T03:21:14.000Z

portal/migrations/0021_auto_20170909_1023.py

nickmvincent/ugc-val-est

b5cceda14ef5830f1befaddfccfd90a694c9677a

[ "MIT" ]

6

2018-03-02T16:49:20.000Z

2021-06-10T18:55:02.000Z

portal/migrations/0021_auto_20170909_1023.py

nickmvincent/ugc-val-est

b5cceda14ef5830f1befaddfccfd90a694c9677a

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.11.3 on 2017-09-09 10:23 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('portal', '0020_revision_user_retained_180'), ] operations = [ migrations.AddField( model_name='sampledredditthread', name='num_new_editors_retained_180', field=models.IntegerField(default=0), ), migrations.AddField( model_name='sampledredditthread', name='num_new_editors_retained_prev_week_180', field=models.IntegerField(default=0), ), migrations.AddField( model_name='sampledstackoverflowpost', name='num_new_editors_retained_180', field=models.IntegerField(default=0), ), migrations.AddField( model_name='sampledstackoverflowpost', name='num_new_editors_retained_prev_week_180', field=models.IntegerField(default=0), ), ]

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273ce4c04aaeec8d4f0773a31a05342a05fada80

211

py

Python

utils.py

MartinKondor/MachineLearning

2deb257796cb63bcc4d13594484e266a93ab7a83

[ "MIT" ]

null

utils.py

MartinKondor/MachineLearning

2deb257796cb63bcc4d13594484e266a93ab7a83

[ "MIT" ]

null

utils.py

MartinKondor/MachineLearning

2deb257796cb63bcc4d13594484e266a93ab7a83

[ "MIT" ]

null

def get_regr_coeffs(X, y): n = X.shape[0] p = n*(X**2).sum() - X.sum()**2 a = ( n*(X*y).sum() - X.sum()*y.sum() ) / p b = ( y.sum()*(X**2).sum() - X.sum()*(X*y).sum() ) / p return a,b

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274a29ab3b4bec4e9c6a03f267b6e6c6a89ebc9b

388

py

Python

cyberserver/servers/utilities/colors.py

csd3345/cybermap-server

f9cad5e59547d30c1e6e13c8b4b39e6ea46746cb

[ "Unlicense", "MIT" ]

null

cyberserver/servers/utilities/colors.py

csd3345/cybermap-server

f9cad5e59547d30c1e6e13c8b4b39e6ea46746cb

[ "Unlicense", "MIT" ]

null

cyberserver/servers/utilities/colors.py

csd3345/cybermap-server

f9cad5e59547d30c1e6e13c8b4b39e6ea46746cb

[ "Unlicense", "MIT" ]

null

import colored from time import strftime, localtime def colorize(text, color = 'green'): return colored.stylize(text, colored.fg(color)) def time_colored(color = "gold_1", reverse = True): return colored.stylize( text = strftime('[%Y-%m-%d %H:%M:%S]', localtime()), styles = [colored.fg(color), colored.attr('reverse')] if reverse else colored.fg(color) )

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null

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null

0

1

0

1

0

4

2751673219c9abe646d29c391be11d7bf5b20712

139

py

Python

pyautofinance/common/timers/stop_session.py

webclinic017/PyAutoFinance

532cb1c5418dd9eeb07f2f08646170cde1fe0303

[ "MIT" ]

null

pyautofinance/common/timers/stop_session.py

webclinic017/PyAutoFinance

532cb1c5418dd9eeb07f2f08646170cde1fe0303

[ "MIT" ]

null

pyautofinance/common/timers/stop_session.py

webclinic017/PyAutoFinance

532cb1c5418dd9eeb07f2f08646170cde1fe0303

[ "MIT" ]

1

2022-02-24T09:18:13.000Z

from pyautofinance.common.timers.timer import Timer class StopSession(Timer): def execute(self, cerebro): cerebro.runstop()

17.375

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2779ac8e41a9e6b4e04c9d2e7df154d9ea3d8bf1

655

py

Python

packit/cli/source_git.py

majamassarini/packit

b319c4ac2321f012c17ab0b2d0ebfb6c8226eff0

[ "MIT" ]

81

2019-02-07T15:38:34.000Z

2020-07-16T06:33:02.000Z

packit/cli/source_git.py

majamassarini/packit

b319c4ac2321f012c17ab0b2d0ebfb6c8226eff0

[ "MIT" ]

825

2019-02-07T15:08:16.000Z

2020-08-02T08:11:23.000Z

packit/cli/source_git.py

majamassarini/packit

b319c4ac2321f012c17ab0b2d0ebfb6c8226eff0

[ "MIT" ]

51

2019-02-08T09:56:29.000Z

2020-06-17T15:34:00.000Z

# Copyright Contributors to the Packit project. # SPDX-License-Identifier: MIT """The 'source-git' subcommand for Packit""" import click from packit.cli.update_dist_git import update_dist_git from packit.cli.update_source_git import update_source_git from packit.cli.source_git_init import source_git_init from packit.cli.source_git_status import source_git_status @click.group("source-git") def source_git(): """Subcommand to collect source-git related functionality""" pass source_git.add_command(update_dist_git) source_git.add_command(update_source_git) source_git.add_command(source_git_init) source_git.add_command(source_git_status)

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4

279b4025df7e72f33406766ccb6e87375647ba59

9,513

py

Python

test/unit/mongo_libs/crt_coll_inst.py

deepcoder42/mongo-lib

fa2b65587ab88ee90c9d85f12dd642c6295e0d94

[ "MIT" ]

null

test/unit/mongo_libs/crt_coll_inst.py

deepcoder42/mongo-lib

fa2b65587ab88ee90c9d85f12dd642c6295e0d94

[ "MIT" ]

null

test/unit/mongo_libs/crt_coll_inst.py

deepcoder42/mongo-lib

fa2b65587ab88ee90c9d85f12dd642c6295e0d94

[ "MIT" ]

null

#!/usr/bin/python # Classification (U) """Program: crt_coll_inst.py Description: Unit testing of crt_coll_inst in mongo_libs.py. Usage: test/unit/mongo_libs/crt_coll_inst.py Arguments: """ # Libraries and Global Variables # Standard import sys import os if sys.version_info < (2, 7): import unittest2 as unittest else: import unittest # Third-party import mock # Local sys.path.append(os.getcwd()) import mongo_libs import version __version__ = version.__version__ class Cfg(object): """Class: Cfg Description: Class stub holder for Cfg class. Methods: __init__ """ def __init__(self, repset_hosts=None): """Function: __init__ Description: Class initialization. Arguments: """ self.name = "name" self.user = "user" self.japd = "userpd" self.host = "host" self.port = 27017 self.auth = True self.repset = "repset_name" self.conf_file = "conf_file" self.repset_hosts = repset_hosts self.db_auth = "db_name" class Cfg2(object): """Class: Cfg2 Description: Class stub holder for Cfg class with new attributes. Methods: __init__ """ def __init__(self, repset_hosts=None): """Function: __init__ Description: Class initialization. Arguments: """ self.name = "name" self.user = "user" self.japd = "userpd" self.host = "host" self.port = 27017 self.auth = True self.repset = "repset_name" self.conf_file = "conf_file" self.repset_hosts = repset_hosts self.db_auth = "db_name" self.use_uri = False self.use_arg = True self.auth_db = "mydatabase" self.auth_mech = "SCRAM-SHA-1" self.ssl_client_ca = None self.ssl_client_cert = None self.ssl_client_key = None self.ssl_client_phrase = None class Cfg3(object): """Class: Cfg3 Description: Class stub holder for Cfg class with new attributes. Methods: __init__ """ def __init__(self, repset_hosts=None): """Function: __init__ Description: Class initialization. Arguments: """ self.name = "name" self.user = "user" self.japd = "userpd" self.host = "host" self.port = 27017 self.auth = True self.repset = "repset_name" self.conf_file = "conf_file" self.repset_hosts = repset_hosts self.db_auth = "db_name" self.use_uri = False self.use_arg = True self.auth_db = "mydatabase" self.auth_mech = "SCRAM-SHA-1" self.ssl_client_ca = "CAFile" self.ssl_client_cert = "CertFile" self.ssl_client_key = "KeyFile" self.ssl_client_phrase = "MyPhrase" class UnitTest(unittest.TestCase): """Class: UnitTest Description: Class which is a representation of a unit testing. Methods: setUp test_coll_set_ssl test_rep_set_ssl test_coll_none_ssl test_rep_none_ssl test_coll_no_ssl test_rep_no_ssl test_coll_mech_auth test_coll_no_mech_auth test_repset_mech_auth test_repset_no_mech_auth test_coll_new_attrs2 test_repsetcoll_new_attrs2 test_coll_new_attrs test_repsetcoll_new_attrs test_coll test_repsetcoll """ def setUp(self): """Function: setUp Description: Initialization for unit testing. Arguments: """ self.repset_hosts = "host:port" def test_coll_set_ssl(self): """Function: test_coll_set_ssl Description: Test mongo_class.Coll class with SSL set. Arguments: """ cfg = Cfg3() mongo = mongo_libs.crt_coll_inst(cfg, "db", "tbl") self.assertEqual(mongo.ssl_client_ca, cfg.ssl_client_ca) def test_rep_set_ssl(self): """Function: test_rep_set_ssl Description: Test mongo_class.RepSetColl class with SSL set. Arguments: """ cfg = Cfg3(self.repset_hosts) mongo = mongo_libs.crt_coll_inst(cfg, "db", "tbl") self.assertEqual(mongo.ssl_client_ca, cfg.ssl_client_ca) def test_coll_none_ssl(self): """Function: test_coll_none_ssl Description: Test mongo_class.Coll class with SSL set to none. Arguments: """ cfg = Cfg2() mongo = mongo_libs.crt_coll_inst(cfg, "db", "tbl") self.assertFalse(mongo.ssl_client_ca) def test_rep_none_ssl(self): """Function: test_rep_none_ssl Description: Test mongo_class.RepSetColl class with SSL set to none. Arguments: """ cfg = Cfg2(self.repset_hosts) mongo = mongo_libs.crt_coll_inst(cfg, "db", "tbl") self.assertFalse(mongo.ssl_client_ca) def test_coll_no_ssl(self): """Function: test_coll_no_ssl Description: Test the mongo_class.Coll class with no ssl. Arguments: """ cfg = Cfg() mongo = mongo_libs.crt_coll_inst(cfg, "db", "tbl") self.assertFalse(mongo.ssl_client_ca) def test_rep_no_ssl(self): """Function: test_rep_no_ssl Description: Test the mongo_class.RepSetColl class with no ssl. Arguments: """ cfg = Cfg(self.repset_hosts) mongo = mongo_libs.crt_coll_inst(cfg, "db", "tbl") self.assertFalse(mongo.ssl_client_ca) @mock.patch("mongo_libs.mongo_class.RepSetColl") def test_coll_mech_auth(self, mock_mongo): """Function: test_coll_mech_auth Description: Test with authentication mechanism passed. Arguments: """ cfg = Cfg2() mock_mongo.return_value = True self.assertTrue(mongo_libs.crt_coll_inst(cfg, "db", "tbl")) @mock.patch("mongo_libs.mongo_class.RepSetColl") def test_coll_no_mech_auth(self, mock_mongo): """Function: test_coll_no_mech_auth Description: Test with no authentication mechanism passed. Arguments: """ cfg = Cfg() mock_mongo.return_value = True self.assertTrue(mongo_libs.crt_coll_inst(cfg, "db", "tbl")) @mock.patch("mongo_libs.mongo_class.RepSetColl") def test_repset_mech_auth(self, mock_mongo): """Function: test_repset_mech_auth Description: Test with authentication mechanism passed. Arguments: """ cfg = Cfg2(self.repset_hosts) mock_mongo.return_value = True self.assertTrue(mongo_libs.crt_coll_inst(cfg, "db", "tbl")) @mock.patch("mongo_libs.mongo_class.RepSetColl") def test_repset_no_mech_auth(self, mock_mongo): """Function: test_repset_no_mech_auth Description: Test with no authentication mechanism passed. Arguments: """ cfg = Cfg(self.repset_hosts) mock_mongo.return_value = True self.assertTrue(mongo_libs.crt_coll_inst(cfg, "db", "tbl")) @mock.patch("mongo_libs.mongo_class.Coll") def test_coll_new_attrs2(self, mock_mongo): """Function: test_coll_new_attrs2 Description: Test with new use_uri, use_arg, and auth_db attrs. Arguments: """ cfg = Cfg2() mock_mongo.return_value = True self.assertTrue(mongo_libs.crt_coll_inst(cfg, "db", "tbl")) @mock.patch("mongo_libs.mongo_class.RepSetColl") def test_repsetcoll_new_attrs2(self, mock_mongo): """Function: test_repsetcoll_new_attrs2 Description: Test with new use_uri, use_arg, and auth_db attrs. Arguments: """ cfg = Cfg2(self.repset_hosts) mock_mongo.return_value = True self.assertTrue(mongo_libs.crt_coll_inst(cfg, "db", "tbl")) @mock.patch("mongo_libs.mongo_class.Coll") def test_coll_new_attrs(self, mock_mongo): """Function: test_coll_new_attrs Description: Test with new use_uri, use_arg, and auth_db attrs. Arguments: """ cfg = Cfg() mock_mongo.return_value = True self.assertTrue(mongo_libs.crt_coll_inst(cfg, "db", "tbl")) @mock.patch("mongo_libs.mongo_class.RepSetColl") def test_repsetcoll_new_attrs(self, mock_mongo): """Function: test_repsetcoll_new_attrs Description: Test with new use_uri, use_arg, and auth_db attrs. Arguments: """ cfg = Cfg(self.repset_hosts) mock_mongo.return_value = True self.assertTrue(mongo_libs.crt_coll_inst(cfg, "db", "tbl")) @mock.patch("mongo_libs.mongo_class.Coll") def test_coll(self, mock_mongo): """Function: test_coll Description: Test the mongo_class.Coll class. Arguments: """ cfg = Cfg() mock_mongo.return_value = True self.assertTrue(mongo_libs.crt_coll_inst(cfg, "db", "tbl")) @mock.patch("mongo_libs.mongo_class.RepSetColl") def test_repsetcoll(self, mock_mongo): """Function: test_repsetcoll Description: Test the mongo_class.RepSetColl class. Arguments: """ cfg = Cfg(self.repset_hosts) mock_mongo.return_value = True self.assertTrue(mongo_libs.crt_coll_inst(cfg, "db", "tbl")) if __name__ == "__main__": unittest.main()

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27af95ef0a5f213822aa053745e3041dcde64ac4

302

py

Python

openprocurement/tender/cfaselectionua/adapters/serializable/numberofbids.py

tarasvaskiv/openprocurement.tender.cfaselectionua

6c4e1bcff13fd582e745d394c4f5fb0ffd76929e

[ "Apache-2.0" ]

3

2020-03-13T06:44:23.000Z

2020-11-05T18:25:29.000Z

openprocurement/tender/cfaselectionua/adapters/serializable/numberofbids.py

tarasvaskiv/openprocurement.tender.cfaselectionua

6c4e1bcff13fd582e745d394c4f5fb0ffd76929e

[ "Apache-2.0" ]

3

2019-02-06T14:19:42.000Z

2019-03-25T15:05:52.000Z

openprocurement/tender/cfaselectionua/adapters/serializable/numberofbids.py

tarasvaskiv/openprocurement.tender.cfaselectionua

6c4e1bcff13fd582e745d394c4f5fb0ffd76929e

[ "Apache-2.0" ]

3

2020-10-16T16:25:14.000Z

2021-05-22T12:26:20.000Z

# /src/openprocurement.tender.openua/openprocurement/tender/openua/models.py:382 from openprocurement.api.adapters import Serializable class SerializableTenderNumberOfBids(Serializable): serialized_name = "numberOfBids" def __call__(self, obj, *args, **kwargs): return len(obj.bids)

30.2

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null

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1

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4

27c9cc7a966bd5b947d8c8375bd55563116d8dee

2,231

py

Python

marqeta/response_models/pos.py

marqeta/marqeta-python

66fa690eb910825c510a391720b0fe717fac0234

[ "MIT" ]

21

2019-04-12T09:02:17.000Z

2022-02-18T11:39:06.000Z

marqeta/response_models/pos.py

marqeta/marqeta-python

66fa690eb910825c510a391720b0fe717fac0234

[ "MIT" ]

1

2020-07-22T21:27:40.000Z

2020-07-23T17:38:43.000Z

marqeta/response_models/pos.py

marqeta/marqeta-python

66fa690eb910825c510a391720b0fe717fac0234

[ "MIT" ]

10

2019-05-08T14:20:37.000Z

2021-09-20T18:09:26.000Z

from datetime import datetime, date from marqeta.response_models import datetime_object import json import re class Pos(object): def __init__(self, json_response): self.json_response = json_response def __str__(self): return json.dumps(self.json_response, default=self.json_serial) @staticmethod def json_serial(o): if isinstance(o, datetime) or isinstance(o, date): return o.__str__() @property def pan_entry_mode(self): return self.json_response.get('pan_entry_mode', None) @property def pin_entry_mode(self): return self.json_response.get('pin_entry_mode', None) @property def terminal_id(self): return self.json_response.get('terminal_id', None) @property def terminal_attendance(self): return self.json_response.get('terminal_attendance', None) @property def terminal_location(self): return self.json_response.get('terminal_location', None) @property def card_holder_presence(self): return self.json_response.get('card_holder_presence', None) @property def cardholder_authentication_method(self): return self.json_response.get('cardholder_authentication_method', None) @property def card_presence(self): return self.json_response.get('card_presence', None) @property def terminal_type(self): return self.json_response.get('terminal_type', None) @property def card_data_input_capability(self): return self.json_response.get('card_data_input_capability', None) @property def country_code(self): return self.json_response.get('country_code', None) @property def zip(self): return self.json_response.get('zip', None) @property def partial_approval_capable(self): return self.json_response.get('partial_approval_capable', None) @property def purchase_amount_only(self): return self.json_response.get('purchase_amount_only', None) @property def is_recurring(self): return self.json_response.get('is_recurring', None) def __repr__(self): return '<Marqeta.response_models.pos.Pos>' + self.__str__()

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27cc3640053952f5e5eb80798d4118441411fc37

154

py

Python

06 - DataTypes/tuple.py

kuyesu/Scripting-With-Python-BIT-II

d2fd4fa1eb49f48de8a5492a20253cd91b38e826

[ "MIT" ]

1

2022-02-21T10:03:47.000Z

06 - DataTypes/tuple.py

kuyesu/Scripting-With-Python-BIT-II

d2fd4fa1eb49f48de8a5492a20253cd91b38e826

[ "MIT" ]

null

06 - DataTypes/tuple.py

kuyesu/Scripting-With-Python-BIT-II

d2fd4fa1eb49f48de8a5492a20253cd91b38e826

[ "MIT" ]

1

2022-02-02T11:02:24.000Z

""" Tuple""" names = ("rogers","Joan", "Doreen", "Liz", "Peter" ) print(names) string_tuple = " ".join(str(name) for name in names) print(string_tuple)

19.25

52

0.636364

21

154

4.571429

0.666667

0.229167

0

0.136364

154

8

53

19.25

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null

0

1

0

4

27e3bc98e7f35eb02244190adf639e3a0d0be2e2

121

py

Python

cfml/models/neural_network/__init__.py

carefree0910/carefree-ml

eede4c4672045c4cc39a3b82bd6ddc315f059e88

[ "MIT" ]

25

2020-05-31T04:44:16.000Z

2022-03-10T09:07:17.000Z

cfml/models/neural_network/__init__.py

carefree0910/carefree-ml

eede4c4672045c4cc39a3b82bd6ddc315f059e88

[ "MIT" ]

null

cfml/models/neural_network/__init__.py

carefree0910/carefree-ml

eede4c4672045c4cc39a3b82bd6ddc315f059e88

[ "MIT" ]

2

2021-01-09T13:00:53.000Z

2021-08-10T02:54:41.000Z

from .fcnn_clf import FCNNClassifier from .fcnn_reg import FCNNRegressor __all__ = ["FCNNClassifier", "FCNNRegressor"]

20.166667

45

0.801653

13

121

7

0.615385

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121

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null

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27e500e6c6c249dcf387790bc4c10c48e3138379

251

py

Python

src/python/WMCore/WMBS/Oracle/Users/GetUserId.py

khurtado/WMCore

f74e252412e49189a92962945a94f93bec81cd1e

[ "Apache-2.0" ]

21

2015-11-19T16:18:45.000Z

2021-12-02T18:20:39.000Z

src/python/WMCore/WMBS/Oracle/Users/GetUserId.py

khurtado/WMCore

f74e252412e49189a92962945a94f93bec81cd1e

[ "Apache-2.0" ]

5,671

2015-01-06T14:38:52.000Z

2022-03-31T22:11:14.000Z

src/python/WMCore/WMBS/Oracle/Users/GetUserId.py

khurtado/WMCore

f74e252412e49189a92962945a94f93bec81cd1e

[ "Apache-2.0" ]

67

2015-01-21T15:55:38.000Z

2022-02-03T19:53:13.000Z

#!/usr/bin/env python """ _GetUserId_ Oracle implementation of Users.GetUserId """ from WMCore.WMBS.MySQL.Users.GetUserId import GetUserId as MySQLGetUserId class GetUserId(MySQLGetUserId): """ _GetUserId_ Load user pars by ID """

15.6875

73

0.721116

29

251

6.103448

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0

0.179283

251

15

74

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0.430279

0

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null

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0

1

0

1

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4

7e0d226d5c97af8743530092c79907d7ad811f74

150

py

Python

testData/regex/otherFunc.py

alek-sun/pydantic-pycharm-plugin

6b07519aadf0ff8b8a644c1f9ede88e09c687c80

[ "Apache-2.0", "MIT" ]

238

2019-08-05T12:46:09.000Z

2022-03-25T08:53:25.000Z

testData/regex/otherFunc.py

alek-sun/pydantic-pycharm-plugin

6b07519aadf0ff8b8a644c1f9ede88e09c687c80

[ "Apache-2.0", "MIT" ]

415

2019-07-15T17:39:35.000Z

2022-03-31T01:18:38.000Z

testData/regex/otherFunc.py

collerek/pydantic-pycharm-plugin

7068ece42334cc9fbe927d779d199c86d5139888

[ "Apache-2.0", "MIT" ]

7

2019-08-09T01:03:16.000Z

2022-02-08T03:28:19.000Z

from pydantic import BaseModel, constr def other_func(regex): pass class Model(BaseModel): abc: str = other_func(regex='<caret>[^a-zA-Z]+')

18.75

52

0.693333

22

150

4.636364

0.818182

0.176471

0.27451

0

0.16

150

7

53

21.428571

0.809524

0

0.113333

0

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0.2

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null

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1

0

1

0

null

0

1

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4

fd67923fb53435f548f177b9e96bf7623190d617

3,027

py

Python

tests/test_vectoriser.py

mishraprafful/serving_model

86119320970fd1b47ad8fcd481b86d37fbbe466b

[ "Apache-2.0" ]

1

2021-01-08T19:59:55.000Z

tests/test_vectoriser.py

mishraprafful/serving_model

86119320970fd1b47ad8fcd481b86d37fbbe466b

[ "Apache-2.0" ]

null

tests/test_vectoriser.py

mishraprafful/serving_model

86119320970fd1b47ad8fcd481b86d37fbbe466b

[ "Apache-2.0" ]

null

import json import unittest from flask import Flask, request, Response class BasicTests(unittest.TestCase): # setup and teardown def setUp(self): # setting required environment variables global application, request_data from app.app import app self.application = app.test_client() with open("./tests/test_data/valid_request.json", 'r') as file: request_data = json.loads(file.read()) # executed after each test def tearDown(self): pass # tests def test_invalid_headers(self): url = '/vectorise' headers = {} response = self.application.post( url, headers=headers, follow_redirects=True) self.assertEqual(response.status_code, 401) def test_invalid_request_01(self): url = '/vectorise' headers = {'content-type': 'application/json'} data = request_data.copy() del data[0]['image'] response = self.application.post( url, headers=headers, data=json.dumps(data), follow_redirects=True) self.assertEqual(response.status_code, 402) def test_invalid_request_02(self): url = '/vectorise' headers = {'content-type': 'application/json'} data = request_data.copy() del data[0]['text'] response = self.application.post( url, headers=headers, data=json.dumps(data), follow_redirects=True) self.assertEqual(response.status_code, 402) def test_invalid_request_03(self): url = '/vectorise' headers = {'content-type': 'application/json'} data = request_data.copy() data[0]['image'] = data[0]['image'][:-2] response = self.application.post( url, headers=headers, data=json.dumps(data), follow_redirects=True) self.assertEqual(response.status_code, 402) def test_invalid_request_04(self): url = '/vectorise' headers = {'content-type': 'application/json'} data = request_data.copy() data[0]['text'] = {"test": "value"} response = self.application.post( url, headers=headers, data=json.dumps(data), follow_redirects=True) self.assertEqual(response.status_code, 402) def test_valid_request_01(self): url = '/vectorise' headers = {'content-type': 'application/json'} data = request_data.copy() response = self.application.post( url, headers=headers, data=json.dumps(data), follow_redirects=True) self.assertEqual(response.status_code, 200) def test_valid_request_02(self): url = '/vectorise' headers = {'content-type': 'application/json'} data = request_data.copy() data[0]['text'] = "" data[1]['image'] = "" response = self.application.post( url, headers=headers, data=json.dumps(data), follow_redirects=True) self.assertEqual(response.status_code, 200) if __name__ == "__main__": unittest.main()

27.770642

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0.08793

0.73621

0.712179

0.683779

0

0.018142

0.253386

3,027

108

80

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0.792035

0.029072

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false

0.014706

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0

null

0

1

0

1

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null

0

4

fd9ddfd3e01a21f76dd8bba439ecdcae90ff6fcb

93

py

Python

lewis_emulators/moxa12xx/interfaces/__init__.py

ISISComputingGroup/EPICS-DeviceEmulator

026c2a14a16bb204ea7527e3765daa182cafa814

[ "BSD-3-Clause" ]

2

2020-10-20T16:49:13.000Z

2021-02-19T10:41:44.000Z

lewis_emulators/moxa12xx/interfaces/__init__.py

ISISComputingGroup/EPICS-DeviceEmulator

026c2a14a16bb204ea7527e3765daa182cafa814

[ "BSD-3-Clause" ]

9

2019-03-22T15:35:15.000Z

2021-07-28T11:05:43.000Z

lewis_emulators/moxa12xx/interfaces/__init__.py

ISISComputingGroup/EPICS-DeviceEmulator

026c2a14a16bb204ea7527e3765daa182cafa814

[ "BSD-3-Clause" ]

1

2020-10-21T17:02:44.000Z

from .modbus_interface import Moxa1210ModbusInterface __all__ = ['Moxa1210ModbusInterface']

23.25

53

0.849462

7

93

10.571429

0.857143

0

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0.086022

93

3

54

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