xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

e819578a7fb20ced45cf1baf562632d705725913

96

py

Python

venv/lib/python3.8/site-packages/numpy/polynomial/legendre.py

GiulianaPola/select_repeats

17a0d053d4f874e42cf654dd142168c2ec8fbd11

[ "MIT" ]

2

2022-03-13T01:58:52.000Z

2022-03-31T06:07:54.000Z

venv/lib/python3.8/site-packages/numpy/polynomial/legendre.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

19

2021-11-20T04:09:18.000Z

2022-03-23T15:05:55.000Z

venv/lib/python3.8/site-packages/numpy/polynomial/legendre.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

null

/home/runner/.cache/pip/pool/f2/b7/f8/4e68c73075e0aac12c5662cc4db6e9f6a8d2c5f5bf53fadd090bee02ff

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318

py

Python

Python/SQLite/anoka.py

programmer-666/Codes

fdffe38a789ba3636dff7ceaa9f1b4113ae17c2b

[ "MIT" ]

null

Python/SQLite/anoka.py

programmer-666/Codes

fdffe38a789ba3636dff7ceaa9f1b4113ae17c2b

[ "MIT" ]

null

Python/SQLite/anoka.py

programmer-666/Codes

fdffe38a789ba3636dff7ceaa9f1b4113ae17c2b

[ "MIT" ]

1

2021-09-16T14:24:29.000Z

import os logo = """ ░█████╗░███╗░░██╗░█████╗░██╗░░██╗░█████╗░ ██╔══██╗████╗░██║██╔══██╗██║░██╔╝██╔══██╗ ███████║██╔██╗██║██║░░██║█████═╝░███████║ ██╔══██║██║╚████║██║░░██║██╔═██╗░██╔══██║ ██║░░██║██║░╚███║╚█████╔╝██║░╚██╗██║░░██║ ╚═╝░░╚═╝╚═╝░░╚══╝░╚════╝░╚═╝░░╚═╝╚═╝░░╚═╝ """ os.system("cls") print(logo+"\n", "_"*50)

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py

Python

tests/simulator/test_simulator_cli.py

virtualcell/Biosimulators_utils

1b34e1e0a9ace706d245e9d515d0fae1e55a248d

[ "MIT" ]

null

tests/simulator/test_simulator_cli.py

virtualcell/Biosimulators_utils

1b34e1e0a9ace706d245e9d515d0fae1e55a248d

[ "MIT" ]

null

tests/simulator/test_simulator_cli.py

virtualcell/Biosimulators_utils

1b34e1e0a9ace706d245e9d515d0fae1e55a248d

[ "MIT" ]

null

from biosimulators_utils.simulator.cli import build_cli from biosimulators_utils.simulator.environ import ENVIRONMENT_VARIABLES import capturer import sys import unittest class CliTestCase(unittest.TestCase): def setUp(self): def exec_sedml_docs_in_combine_archive(archive_filename, outputs_dirname): if archive_filename: print(archive_filename) if outputs_dirname: raise Exception(outputs_dirname) self.App = build_cli('test-simulator', '4.5.6', 'Test Simulator', '1.2.3', 'https://test-simulator.org', exec_sedml_docs_in_combine_archive, environment_variables=ENVIRONMENT_VARIABLES.values()) def test_help(self): with self.assertRaises(SystemExit) as cm: with self.App(argv=['-h']) as app: app.run() self.assertEqual(cm.exception.code, 0) with self.assertRaises(SystemExit) as cm: with self.App(argv=['--help']) as app: app.run() self.assertEqual(cm.exception.code, 0) def test_version(self): with self.App(argv=['-v']) as app: with capturer.CaptureOutput(merged=False, relay=False) as captured: with self.assertRaises(SystemExit) as cm: app.run() self.assertEqual(cm.exception.code, 0) stdout = captured.stdout.get_text() self.assertIn('Test Simulator: 1.2.3', stdout) self.assertIn('CLI: 4.5.6', stdout) self.assertIn('Python: {}.{}.{}'.format(sys.version_info.major, sys.version_info.minor, sys.version_info.micro), stdout) self.assertEqual(captured.stderr.get_text(), '') with self.App(argv=['--version']) as app: with capturer.CaptureOutput(merged=False, relay=False) as captured: with self.assertRaises(SystemExit) as cm: app.run() self.assertEqual(cm.exception.code, 0) stdout = captured.stdout.get_text() self.assertIn('Test Simulator: 1.2.3', stdout) self.assertIn('CLI: 4.5.6', stdout) self.assertIn('Python: {}.{}.{}'.format(sys.version_info.major, sys.version_info.minor, sys.version_info.micro), stdout) self.assertEqual(captured.stderr.get_text(), '') def test_exec_archive(self): with self.App(argv=['-i', 'path to COMBINE/OMEX archive', '-o', '']) as app: with capturer.CaptureOutput(merged=False, relay=False) as captured: app.run() self.assertEqual(captured.stdout.get_text(), 'path to COMBINE/OMEX archive') self.assertEqual(captured.stderr.get_text(), '') with self.App(argv=['-i', '', '-o', 'path to directory to save outputs']) as app: with capturer.CaptureOutput(merged=False, relay=False) as captured: with self.assertRaises(SystemExit) as cm: app.run() self.assertEqual(cm.exception.code, 'path to directory to save outputs') self.assertEqual(captured.stdout.get_text(), '') self.assertEqual(captured.stderr.get_text(), '') def test_error(self): def exec_sedml_docs_in_combine_archive(archive_filename, outputs_dirname): pass with self.assertRaises(ValueError): self.App = build_cli(None, '4.5.6', 'Test Simulator', '1.2.3', 'https://test-simulator.org', exec_sedml_docs_in_combine_archive) with self.assertRaises(ValueError): self.App = build_cli('test-simulator', '4.5.6', None, '1.2.3', 'https://test-simulator.org', exec_sedml_docs_in_combine_archive) with self.assertRaises(ValueError): self.App = build_cli('test-simulator', '4.5.6', 'Test Simulator', '1.2.3', 'https://test-simulator.org', None)

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py

Python

directory_logger/__init__.py

rdavid369/directory_logger

0b82674b7829cb452f620f5de2b5dcbfe07b0c90

[ "MIT" ]

null

directory_logger/__init__.py

rdavid369/directory_logger

0b82674b7829cb452f620f5de2b5dcbfe07b0c90

[ "MIT" ]

null

directory_logger/__init__.py

rdavid369/directory_logger

0b82674b7829cb452f620f5de2b5dcbfe07b0c90

[ "MIT" ]

null

''' Attributes to be assigned to the package ''' from .directory import Directory from .logger import Logger

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1c96aab0f66f6d4a61731bde338360baf9d3b60c

245

py

Python

src/utils/tail_call_optimize.py

ethe/elanus

528ef897f8bad80bcda072206e8e01516532ed75

[ "MIT" ]

4

2016-10-29T10:37:23.000Z

2020-09-22T13:13:10.000Z

src/utils/tail_call_optimize.py

ethe/elanus

528ef897f8bad80bcda072206e8e01516532ed75

[ "MIT" ]

null

src/utils/tail_call_optimize.py

ethe/elanus

528ef897f8bad80bcda072206e8e01516532ed75

[ "MIT" ]

1

2020-07-13T03:18:51.000Z

# -*- coding: utf-8 -*- def trampoline(f, *args, **kwargs): def trampolined_f(*args, **kwargs): result = f(*args, **kwargs) while callable(result): result = result() return result return trampolined_f

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c721aa81379dcf2248e83d508d662aa8610fabf0

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py

Python

logger/__init__.py

busitaro/watch-sharepoint-list

84b9be32df1ebc10d815b27fc82e40e1d513da61

[ "Apache-2.0" ]

null

logger/__init__.py

busitaro/watch-sharepoint-list

84b9be32df1ebc10d815b27fc82e40e1d513da61

[ "Apache-2.0" ]

null

logger/__init__.py

busitaro/watch-sharepoint-list

84b9be32df1ebc10d815b27fc82e40e1d513da61

[ "Apache-2.0" ]

null

from .logger import create_logger

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py

Python

tests/unit/array/mixins/test_eval_class.py

MarkusSagen/docarray

2b535b2f3e361ec48d50877615b535f6dc361b45

[ "Apache-2.0" ]

1

2022-03-16T14:05:32.000Z

tests/unit/array/mixins/test_eval_class.py

MarkusSagen/docarray

2b535b2f3e361ec48d50877615b535f6dc361b45

[ "Apache-2.0" ]

null

tests/unit/array/mixins/test_eval_class.py

MarkusSagen/docarray

2b535b2f3e361ec48d50877615b535f6dc361b45

[ "Apache-2.0" ]

null

import copy import numpy as np import pytest from docarray import DocumentArray, Document @pytest.mark.parametrize( 'storage, config', [ ('memory', {}), ('weaviate', {}), ('sqlite', {}), ('annlite', {'n_dim': 256}), ('qdrant', {'n_dim': 256}), ], ) @pytest.mark.parametrize( 'metric_fn, kwargs', [ ('r_precision', {}), ('precision_at_k', {}), ('hit_at_k', {}), ('average_precision', {}), ('reciprocal_rank', {}), ('recall_at_k', {'max_rel': 9}), ('f1_score_at_k', {'max_rel': 9}), ('ndcg_at_k', {}), ], ) def test_eval_mixin_perfect_match(metric_fn, kwargs, storage, config, start_storage): da1 = DocumentArray.empty(10) da1.embeddings = np.random.random([10, 256]) da1_index = DocumentArray(da1, storage=storage, config=config) da1.match(da1_index, exclude_self=True) r = da1.evaluate(da1, metric=metric_fn, strict=False, **kwargs) assert isinstance(r, float) assert r == 1.0 for d in da1: assert d.evaluations[metric_fn].value == 1.0 @pytest.mark.parametrize( 'storage, config', [ ('memory', {}), ('weaviate', {}), ('sqlite', {}), ('annlite', {'n_dim': 256}), ('qdrant', {'n_dim': 256}), ], ) @pytest.mark.parametrize( 'metric_fn, kwargs', [ ('r_precision', {}), ('precision_at_k', {}), ('hit_at_k', {}), ('average_precision', {}), ('reciprocal_rank', {}), ('recall_at_k', {'max_rel': 9}), ('f1_score_at_k', {'max_rel': 9}), ('ndcg_at_k', {}), ], ) def test_eval_mixin_zero_match(storage, config, metric_fn, kwargs): da1 = DocumentArray.empty(10) da1.embeddings = np.random.random([10, 256]) da1_index = DocumentArray(da1, storage=storage, config=config) da1.match(da1_index, exclude_self=True) da2 = copy.deepcopy(da1) da2.embeddings = np.random.random([10, 256]) da2_index = DocumentArray(da2, storage=storage, config=config) da2.match(da2_index, exclude_self=True) r = da1.evaluate(da2, metric=metric_fn, **kwargs) assert isinstance(r, float) assert r == 1.0 for d in da1: d: Document assert d.evaluations[metric_fn].value == 1.0 @pytest.mark.parametrize( 'storage, config', [ ('memory', {}), ('weaviate', {}), ('sqlite', {}), ('annlite', {'n_dim': 256}), ('qdrant', {'n_dim': 256}), ], ) def test_diff_len_should_raise(storage, config): da1 = DocumentArray.empty(10) da2 = DocumentArray.empty(5, storage=storage, config=config) with pytest.raises(ValueError): da1.evaluate(da2, metric='precision_at_k') @pytest.mark.parametrize( 'storage, config', [ ('memory', {}), ('weaviate', {}), ('sqlite', {}), ('annlite', {'n_dim': 256}), ('qdrant', {'n_dim': 256}), ], ) def test_diff_hash_fun_should_raise(storage, config): da1 = DocumentArray.empty(10) da2 = DocumentArray.empty(10, storage=storage, config=config) with pytest.raises(ValueError): da1.evaluate(da2, metric='precision_at_k') @pytest.mark.parametrize( 'storage, config', [ ('memory', {}), ('weaviate', {}), ('sqlite', {}), ('annlite', {'n_dim': 3}), ('qdrant', {'n_dim': 3}), ], ) def test_same_hash_same_len_fun_should_work(storage, config): da1 = DocumentArray.empty(10) da1.embeddings = np.random.random([10, 3]) da1_index = DocumentArray(da1, storage=storage, config=config) da1.match(da1_index) da2 = DocumentArray.empty(10) da2.embeddings = np.random.random([10, 3]) da2_index = DocumentArray(da1, storage=storage, config=config) da2.match(da2_index) with pytest.raises(ValueError): da1.evaluate(da2, metric='precision_at_k') for d1, d2 in zip(da1, da2): d1.id = d2.id da1.evaluate(da2, metric='precision_at_k') @pytest.mark.parametrize( 'storage, config', [ ('memory', {}), ('weaviate', {}), ('sqlite', {}), ('annlite', {'n_dim': 3}), ('qdrant', {'n_dim': 3}), ], ) def test_adding_noise(storage, config): da = DocumentArray.empty(10) da.embeddings = np.random.random([10, 3]) da_index = DocumentArray(da, storage=storage, config=config) da.match(da_index, exclude_self=True) da2 = copy.deepcopy(da) for d in da2: d.matches.extend(DocumentArray.empty(10)) d.matches = d.matches.shuffle() assert da2.evaluate(da, metric='precision_at_k', k=10) < 1.0 for d in da2: assert 0.0 < d.evaluations['precision_at_k'].value < 1.0 @pytest.mark.parametrize( 'storage, config', [ ('memory', {}), ('weaviate', {}), ('sqlite', {}), ('annlite', {'n_dim': 128}), ('qdrant', {'n_dim': 128}), ], ) @pytest.mark.parametrize( 'metric_fn, kwargs', [ ('recall_at_k', {}), ('f1_score_at_k', {}), ], ) def test_diff_match_len_in_gd(storage, config, metric_fn, kwargs): da1 = DocumentArray.empty(10) da1.embeddings = np.random.random([10, 128]) da1_index = DocumentArray(da1, storage=storage, config=config) da1.match(da1, exclude_self=True) da2 = copy.deepcopy(da1) da2.embeddings = np.random.random([10, 128]) da2_index = DocumentArray(da2, storage=storage, config=config) da2.match(da2_index, exclude_self=True) # pop some matches from first document da2[0].matches.pop(8) r = da1.evaluate(da2, metric=metric_fn, **kwargs) assert isinstance(r, float) np.testing.assert_allclose(r, 1.0, rtol=1e-2) # for d in da1: d: Document # f1_score does not yield 1 for the first document as one of the match is missing assert d.evaluations[metric_fn].value > 0.9

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c753bde738cc7add93425243bcdcef2b80181901

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py

Python

fuse_examples/classification/skin_lesion/download.py

LaudateCorpus1/fuse-med-ml

56821be0824b599dfbbd7a4b158436cb2c300812

[ "Apache-2.0" ]

57

2021-06-23T12:16:08.000Z

2022-03-29T15:51:25.000Z

fuse_examples/classification/skin_lesion/download.py

LaudateCorpus1/fuse-med-ml

56821be0824b599dfbbd7a4b158436cb2c300812

[ "Apache-2.0" ]

3

2021-11-04T07:56:13.000Z

2022-03-15T08:33:13.000Z

fuse_examples/classification/skin_lesion/download.py

LaudateCorpus1/fuse-med-ml

56821be0824b599dfbbd7a4b158436cb2c300812

[ "Apache-2.0" ]

19

2021-07-19T13:29:22.000Z

2022-03-23T07:48:13.000Z

""" (C) Copyright 2021 IBM Corp. 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. Created on June 30, 2021 """ import os import requests import zipfile import io import wget import logging def download_and_extract_isic(root_data: str, year: str = '2016'): """ Download images and metadata from ISIC challenge :param root_data: path where data should be located :param year: ISIC challenge year (2016 or 2017) """ lgr = logging.getLogger('Fuse') if year == '2016': # 2016 - Train if not os.path.exists(os.path.join(root_data, 'data/ISIC2016_Training_Data')): lgr.info('Extract ISIC-2016 training data...') url = 'https://isic-challenge-data.s3.amazonaws.com/2016/ISBI2016_ISIC_Part3_Training_Data.zip' r = requests.get(url) z = zipfile.ZipFile(io.BytesIO(r.content)) z.extractall(os.path.join(root_data, 'data')) os.rename(os.path.join(root_data, 'data/ISBI2016_ISIC_Part3_Training_Data'), os.path.join(root_data, 'data/ISIC2016_Training_Data')) lgr.info('Extracting ISIC-2016 training data: done') if not os.path.exists(os.path.join(root_data, 'data/ISIC2016_Training_GroundTruth.csv')): url = 'https://isic-challenge-data.s3.amazonaws.com/2016/ISBI2016_ISIC_Part3_Training_GroundTruth.csv' wget.download(url, os.path.join(root_data, 'data/ISIC2016_Training_GroundTruth.csv')) # 2016 - Test if not os.path.exists(os.path.join(root_data, 'data/ISIC2016_Test_Data')): lgr.info('Extract ISIC-2016 test data...') url = 'https://isic-challenge-data.s3.amazonaws.com/2016/ISBI2016_ISIC_Part3_Test_Data.zip' r = requests.get(url) z = zipfile.ZipFile(io.BytesIO(r.content)) z.extractall(os.path.join(root_data, 'data')) os.rename(os.path.join(root_data, 'data/ISBI2016_ISIC_Part3_Test_Data'), os.path.join(root_data, 'data/ISIC2016_Test_Data')) lgr.info('Extracting ISIC-2016 test data: done') if not os.path.exists(os.path.join(root_data, 'data/ISIC2016_Test_GroundTruth.csv')): url = 'https://isic-challenge-data.s3.amazonaws.com/2016/ISBI2016_ISIC_Part3_Test_GroundTruth.csv' wget.download(url, os.path.join(root_data, 'data/ISIC2016_Test_GroundTruth.csv')) if year == '2017': # 2017 - Train if not os.path.exists(os.path.join(root_data, 'data/ISIC2017_Training_Data')): lgr.info('\nExtract ISIC-2017 training data... (this may take a few minutes)') url = 'https://isic-challenge-data.s3.amazonaws.com/2017/ISIC-2017_Training_Data.zip' r = requests.get(url) z = zipfile.ZipFile(io.BytesIO(r.content)) z.extractall(os.path.join(root_data, 'data')) os.rename(os.path.join(root_data, 'data/ISIC-2017_Training_Data'), os.path.join(root_data, 'data/ISIC2017_Training_Data')) lgr.info('Extracting ISIC-2017 training data: done') if not os.path.exists(os.path.join(root_data, 'data/ISIC2017_Training_GroundTruth.csv')): url = 'https://isic-challenge-data.s3.amazonaws.com/2017/ISIC-2017_Training_Part3_GroundTruth.csv' wget.download(url, os.path.join(root_data, 'data/ISIC2017_Training_GroundTruth.csv')) # 2017 - Validation if not os.path.exists(os.path.join(root_data, 'data/ISIC2017_Validation_Data')): lgr.info('\nExtract ISIC-2017 validation data... (this may take a few minutes)') url = 'https://isic-challenge-data.s3.amazonaws.com/2017/ISIC-2017_Validation_Data.zip' r = requests.get(url) z = zipfile.ZipFile(io.BytesIO(r.content)) z.extractall(os.path.join(root_data, 'data')) os.rename(os.path.join(root_data, 'data/ISIC-2017_Validation_Data'), os.path.join(root_data, 'data/ISIC2017_Validation_Data')) lgr.info('Extracting ISIC-2017 validation data: done') if not os.path.exists(os.path.join(root_data, 'data/ISIC2017_Validation_GroundTruth.csv')): url = 'https://isic-challenge-data.s3.amazonaws.com/2017/ISIC-2017_Validation_Part3_GroundTruth.csv' wget.download(url, os.path.join(root_data, 'data/ISIC2017_Validation_GroundTruth.csv')) # 2017 - Test if not os.path.exists(os.path.join(root_data, 'data/ISIC2017_Test_Data')): lgr.info('\nExtracting ISIC-2017 test data... (this may take a few minutes)') url = 'https://isic-challenge-data.s3.amazonaws.com/2017/ISIC-2017_Test_v2_Data.zip' r = requests.get(url) z = zipfile.ZipFile(io.BytesIO(r.content)) z.extractall(os.path.join(root_data, 'data')) os.rename(os.path.join(root_data, 'data/ISIC-2017_Test_v2_Data'), os.path.join(root_data, 'data/ISIC2017_Test_Data')) lgr.info('Extracting ISIC-2017 test data: done') if not os.path.exists(os.path.join(root_data, 'data/ISIC2017_Test_GroundTruth.csv')): url = 'https://isic-challenge-data.s3.amazonaws.com/2017/ISIC-2017_Test_v2_Part3_GroundTruth.csv' wget.download(url, os.path.join(root_data, 'data/ISIC2017_Test_GroundTruth.csv'))

46.34127

114

0.667923

818

5,839

4.617359

0.161369

0.063542

0.079428

0.111199

0.77919

0.776542

0.736299

0.726767

0

0.063945

0.207227

5,839

125

115

46.712

0.751998

0.136325

0

0.214286

0

0.085714

0.426259

0.156475

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1

0.014286

false

0

0.085714

0

0.1

0

null

0

1

0

null

0

5

c7a193c4e180fa2603a0ea8bfc2c963fd38a3c85

96

py

Python

prose_example/blog/admin.py

parisk/django-prose

c5962cc1a18b1ea9e8c11947b913a25951301d52

[ "MIT" ]

1

2022-01-11T08:04:07.000Z

python/blog-site/blog/admin.py

duckpage/learning

5cb9af280c7da8f48d68f390f6bb95ec6fd60211

[ "MIT" ]

null

python/blog-site/blog/admin.py

duckpage/learning

5cb9af280c7da8f48d68f390f6bb95ec6fd60211

[ "MIT" ]

5

2019-05-30T20:12:34.000Z

2020-09-20T08:17:26.000Z

from django.contrib import admin from blog.models import Article admin.site.register(Article)

16

32

0.822917

14

96

5.642857

0.714286

0

0.114583

96

5

33

19.2

0.929412

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true

0

0.666667

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0.666667

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null

0

1

0

1

0

1

0

5

c7a682672fd1cb2cd2710f75e4ea216ed4e4093e

33,841

py

Python

cloud_storage_layer/google/google_cloud_storage.py

rohandhanraj/Auto-AI-Pipeline

d5f39715c802db45afae0d5978d228bf0bcd2f0a

[ "MIT" ]

null

cloud_storage_layer/google/google_cloud_storage.py

rohandhanraj/Auto-AI-Pipeline

d5f39715c802db45afae0d5978d228bf0bcd2f0a

[ "MIT" ]

null

cloud_storage_layer/google/google_cloud_storage.py

rohandhanraj/Auto-AI-Pipeline

d5f39715c802db45afae0d5978d228bf0bcd2f0a

[ "MIT" ]

null

""" AWS SDK for Python (Boto3) to create, configure, and manage AWS services, such as Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Simple Storage Service (Amazon S3) """ import json from project_library_layer.credentials.credential_data import get_google_cloud_storage_credentials from project_library_layer.initializer.initializer import Initializer from exception_layer.generic_exception.generic_exception import GenericException as GoogleCloudException import sys, os import dill import io import pandas as pd from google.cloud import storage from google.oauth2 import service_account class GoogleCloudStorage: def __init__(self, bucket_name=None, region_name=None): """ :param bucket_name:specify bucket name :param region_name: specify region name """ try: initial = Initializer() if bucket_name is None: self.bucket_name = initial.get_google_bucket_name() else: self.bucket_name = bucket_name credentials = service_account.Credentials.from_service_account_info( get_google_cloud_storage_credentials() ) self.client = storage.Client(credentials=credentials) existing_bucket_name = [bucket.name for bucket in self.client.list_buckets()] if self.bucket_name not in existing_bucket_name: self.bucket = self.client.create_bucket(self.bucket_name) else: self.bucket = self.client.get_bucket(self.bucket_name) except Exception as e: google_cloud_exception = GoogleCloudException( "Failed to create object of GoogleCloudStorage in module [{0}] class [{1}] method [{2}]" .format(GoogleCloudStorage.__module__.__str__(), GoogleCloudStorage.__name__, "__init__")) raise Exception(google_cloud_exception.error_message_detail(str(e), sys)) from e def add_param(self, acceptable_param, additional_param): """ :param acceptable_param: specify param list can be added :param additional_param: accepts a dictionary object :return: list of param added to current instance of class """ try: self.__dict__.update((k, v) for k, v in additional_param.items() if k in acceptable_param) return [k for k in additional_param.keys() if k in acceptable_param] except Exception as e: google_cloud_exception = GoogleCloudException( "Failed to add parameter in object in module [{0}] class [{1}] method [{2}]" .format(GoogleCloudStorage.__module__.__str__(), GoogleCloudStorage.__name__, self.add_param.__name__)) raise Exception(google_cloud_exception.error_message_detail(str(e), sys)) from e def filter_param(self, acceptable_param, additional_param): """ :param acceptable_param: specify param list can be added :param additional_param: accepts a dictionary object :return: dict of param after filter """ try: accepted_param = {} accepted_param.update((k, v) for k, v in additional_param.items() if k in acceptable_param) return accepted_param except Exception as e: google_cloud_exception = GoogleCloudException( "Failed to filter parameter in object in module [{0}] class [{1}] method [{2}]" .format(GoogleCloudStorage.__module__.__str__(), GoogleCloudStorage.__name__, self.filter_param.__name__)) raise Exception(google_cloud_exception.error_message_detail(str(e), sys)) from e def remove_param(self, param): """ :param param: list of param argument need to deleted from instance object :return True if deleted successfully else false: """ try: for key in param: self.__dict__.pop(key) return True except Exception as e: google_cloud_exception = GoogleCloudException( "Failed to remove parameter in object in module [{0}] class [{1}] method [{2}]" .format(GoogleCloudStorage.__module__.__str__(), GoogleCloudStorage.__name__, self.remove_param.__name__)) raise Exception(google_cloud_exception.error_message_detail(str(e), sys)) from e def list_directory(self, directory_full_path=None): """ :param directory_full_path:directory path :return: {'status': True/False, 'message': 'message detail' , 'directory_list': directory_list will be added if status is True} """ try: if directory_full_path == "" or directory_full_path == "/" or directory_full_path is None: directory_full_path = "" else: if directory_full_path[-1] != "/": directory_full_path += "/" is_directory_exist = False directory_list = [] for key in self.client.list_blobs(self.bucket_name, prefix=directory_full_path): is_directory_exist = True dir_name = str(key.name).replace(directory_full_path, "") slash_index = dir_name.find("/") if slash_index >= 0: name_after_slash = dir_name[slash_index + 1:] if len(name_after_slash) <= 0: directory_list.append(dir_name) else: if dir_name != "": directory_list.append(dir_name) if is_directory_exist: return {'status': True, 'message': 'Directory [{0}] exist'.format(directory_full_path) , 'directory_list': directory_list} else: return {'status': False, 'message': 'Directory [{0}] does not exist'.format(directory_full_path)} except Exception as e: google_cloud_exception = GoogleCloudException( "Failed to list directory in object in module [{0}] class [{1}] method [{2}]" .format(GoogleCloudStorage.__module__.__str__(), GoogleCloudStorage.__name__, self.list_directory.__name__)) raise Exception(google_cloud_exception.error_message_detail(str(e), sys)) from e def list_files(self, directory_full_path): """ :param directory_full_path: directory :return: {'status': True/False, 'message': 'message detail' , 'files_list': files_list will be added if status is True} """ try: if directory_full_path == "" or directory_full_path == "/" or directory_full_path is None: directory_full_path = "" else: if directory_full_path[-1] != "/": directory_full_path += "/" is_directory_exist = False list_files = [] for key in self.client.list_blobs(self.bucket_name, prefix=directory_full_path): is_directory_exist = True file_name = str(key.name).replace(directory_full_path, "") if "/" not in file_name and file_name != "": list_files.append(file_name) if is_directory_exist: return {'status': True, 'message': 'Directory [{0}] present'.format(directory_full_path) , 'files_list': list_files} else: return {'status': False, 'message': 'Directory [{0}] is not present'.format(directory_full_path)} except Exception as e: google_cloud_exception = GoogleCloudException( "Failed to list files in object in module [{0}] class [{1}] method [{2}]" .format(GoogleCloudStorage.__module__.__str__(), GoogleCloudStorage.__name__, self.list_files.__name__)) raise Exception(google_cloud_exception.error_message_detail(str(e), sys)) from e def list_buckets(self): """ :return: All bucket names available in your gcp cloud storage {'status':True,'message':'message','bucket_list':'bucket_list} """ try: existing_bucket = [bucket.name for bucket in self.client.list_buckets()] return {'status': True, 'message': 'Bucket retrived', 'bucket_list': existing_bucket} except Exception as e: google_cloud_exception = GoogleCloudException( "Failed to list bucket in object in module [{0}] class [{1}] method [{2}]" .format(GoogleCloudStorage.__module__.__str__(), GoogleCloudStorage.__name__, self.list_buckets.__name__)) raise Exception(google_cloud_exception.error_message_detail(str(e), sys)) from e def create_bucket(self, bucket_name, over_write=False): """ :param bucket_name: Name of bucket :param over_write: If true then existing bucket content will be removed :return: True if created else False """ try: bucket_list = [bucket.name for bucket in self.client.list_buckets()] if bucket_name not in bucket_list: self.client.create_bucket(bucket_name) return {'status': True, 'message': "Bucket {0} created successfully".format(bucket_name) } else: return {'status': False, 'message': "Bukcet {0} alredy exists".format(bucket_name)} except Exception as e: google_cloud_exception = GoogleCloudException( "Failed to create bucket in object in module [{0}] class [{1}] method [{2}]" .format(GoogleCloudStorage.__module__.__str__(), GoogleCloudStorage.__name__, self.create_bucket.__name__)) raise Exception(google_cloud_exception.error_message_detail(str(e), sys)) from e def create_directory(self, directory_full_path, over_write=False, **kwargs): """ :param directory_full_path: provide full directory path along with name :param over_write: default False if accept True then overwrite existing directory if exist :return {'status': True/False, 'message': 'message detail'} """ try: if directory_full_path == "" or directory_full_path == "/" or directory_full_path is None: return {'status': False, 'message': 'Provide directory name'} directory_full_path = self.update_directory_full_path_string(directory_full_path) response = self.list_directory(directory_full_path) if over_write and response['status']: self.remove_directory(directory_full_path) if not over_write: if response['status']: return {'status': False, 'message': 'Directory is already present. try with overwrite option.'} possible_directory = directory_full_path[:-1].split("/") directory_name = "" for dir_name in possible_directory: directory_name += dir_name + "/" response = self.list_directory(directory_name) if not response['status']: self.bucket.blob(directory_name).upload_from_string("") return {'status': True, 'message': 'Directory [{0}] created successfully '.format(directory_full_path)} except Exception as e: google_cloud_exception = GoogleCloudException( "Failed to create directory in module [{0}] class [{1}] method [{2}]" .format(GoogleCloudStorage.__module__.__str__(), GoogleCloudStorage.__name__, self.create_directory.__name__)) raise Exception(google_cloud_exception.error_message_detail(str(e), sys)) from e def remove_directory(self, directory_full_path): """ :param directory_full_path:provide full directory path along with name kindly provide "" or "/" to remove all directory and file from bucket. :return: {'status': True/False, 'message': 'message detail'} """ try: directory_full_path = self.update_directory_full_path_string(directory_full_path) is_directory_found = False prefix_file_name = directory_full_path for blob in self.client.list_blobs(self.bucket_name, prefix=directory_full_path): is_directory_found = True blob.delete() if is_directory_found: return {'status': True, 'message': 'Directory [{0}] removed.'.format(directory_full_path)} else: return {'status': False, 'message': 'Directory [{0}] is not present.'.format(directory_full_path)} except Exception as e: google_cloud_exception = GoogleCloudException( "Failed to delete directory in module [{0}] class [{1}] method [{2}]" .format(GoogleCloudStorage.__module__.__str__(), GoogleCloudStorage.__name__, self.remove_directory.__name__)) raise Exception(google_cloud_exception.error_message_detail(str(e), sys)) from e def is_file_present(self, directory_full_path, file_name): """ :param directory_full_path:directory_full_path :param file_name: Name of file :return: {'status': True/False, 'message': 'message detail'} """ try: directory_full_path = self.update_directory_full_path_string(directory_full_path) response = self.list_files(directory_full_path) if response['status']: if file_name in response['files_list']: return {'status': True, 'message': 'File [{0}] is present.'.format(directory_full_path + file_name)} return {'status': False, 'message': 'File [{0}] is not present.'.format(directory_full_path + file_name)} except Exception as e: google_cloud_exception = GoogleCloudException( "Failed to delete directory in module [{0}] class [{1}] method [{2}]" .format(GoogleCloudStorage.__module__.__str__(), GoogleCloudStorage.__name__, self.is_file_present.__name__)) raise Exception(google_cloud_exception.error_message_detail(str(e), sys)) from e def is_directory_present(self, directory_full_path): """ :param directory_full_path: directory path :return: {'status': True/False, 'message': 'message detail"} """ try: directory_full_path = self.update_directory_full_path_string(directory_full_path) response = self.list_directory(directory_full_path) if response['status']: return {'status': True, 'message': 'Directory [{0}] is present'.format(directory_full_path)} return {'status': False, 'message': 'Directory [{0}] is not present'.format(directory_full_path)} except Exception as e: google_cloud_exception = GoogleCloudException( "Failed to delete directory in module [{0}] class [{1}] method [{2}]" .format(GoogleCloudStorage.__module__.__str__(), GoogleCloudStorage.__name__, self.is_file_present.__name__)) raise Exception(google_cloud_exception.error_message_detail(str(e), sys)) from e def upload_file(self, directory_full_path, file_name, stream_data, local_file_path=False, over_write=False): """ :param directory_full_path: s3 bucket directory :param file_name: name you want to specify for file in s3 bucket :param local_file_path: your local system file path of file needs to be uploaded :param over_write:True if wanted to replace target file if present :return:{'status': True/False, 'message': 'message detail'} """ try: if directory_full_path == "" or directory_full_path == "/": directory_full_path = "" else: if directory_full_path[-1] != "/": directory_full_path += "/" response = self.is_directory_present(directory_full_path) if not response['status']: response = self.create_directory(directory_full_path) if not response['status']: return response response = self.is_file_present(directory_full_path, file_name) if response['status'] and not over_write: return {'status': False, 'message': 'File [{0}] already present in directory [{1}]. try with overwrite option'.format( file_name, directory_full_path)} blob = self.bucket.blob(directory_full_path + file_name) if local_file_path: blob.upload_from_filename(local_file_path) else: if isinstance(stream_data,str): stream_data=io.StringIO(stream_data) blob.upload_from_file(stream_data) return {'status': True, 'message': 'File [{0}] uploaded to directory [{1}]'.format(file_name, directory_full_path)} except Exception as e: google_cloud_exception = GoogleCloudException( "Failed to upload file in module [{0}] class [{1}] method [{2}]" .format(GoogleCloudStorage.__module__.__str__(), GoogleCloudStorage.__name__, self.upload_file.__name__)) raise Exception(google_cloud_exception.error_message_detail(str(e), sys)) from e def download_file(self, directory_full_path, file_name, local_system_directory=False): """ :param directory_full_path:directory_full_path :param file_name: Name of file :param local_system_directory: file location within your system :return: {'status': True/False, 'message':'message detail'} """ try: directory_full_path = self.update_directory_full_path_string(directory_full_path) response = self.is_file_present(directory_full_path=directory_full_path, file_name=file_name) if local_system_directory: local_system_directory = self.update_directory_full_path_string(local_system_directory) if not response['status']: return response blob = self.bucket.blob(directory_full_path + file_name) if local_system_directory: blob.download_to_filename(local_system_directory+file_name) return {'status': True, 'message': 'file [{0}] is downloaded in your system at location [{1}] ' .format(file_name, local_system_directory)} else: data = io.BytesIO() blob.download_to_file(data) return {'status': True, 'message': 'file [{0}] is downloaded in your system at location [{1}] ' .format(file_name, local_system_directory), 'file_object': data} except Exception as e: google_cloud_exception = GoogleCloudException( "Failed to upload file in module [{0}] class [{1}] method [{2}]" .format(GoogleCloudStorage.__module__.__str__(), GoogleCloudStorage.__name__, self.download_file.__name__)) raise Exception(google_cloud_exception.error_message_detail(str(e), sys)) from e def remove_file(self, directory_full_path, file_name): """ :param directory_full_path: provide full directory path along with name :param file_name: file name with extension if possible :return: {'status': True/False, 'message':'message detail'} """ try: directory_full_path = self.update_directory_full_path_string(directory_full_path) response = self.is_file_present(directory_full_path, file_name) if response['status']: blob = self.bucket.blob(directory_full_path + file_name) blob.delete() return {'status': True, 'message': 'File [{}] deleted from directory [{}]'.format(file_name, directory_full_path)} return {'status': False, 'message': response['message']} except Exception as e: google_cloud_exception = GoogleCloudException( "Failed to remove file in module [{0}] class [{1}] method [{2}]" .format(GoogleCloudStorage.__module__.__str__(), GoogleCloudStorage.__name__, self.remove_file.__name__)) raise Exception(google_cloud_exception.error_message_detail(str(e), sys)) from e def write_file_content(self, directory_full_path, file_name, content, over_write=False): """ :param directory_full_path: provide full directory path along with name :param file_name: file name with extension if possible :param content: content need to store in file :param over_write: default False if accept True then overwrite file in directory if exist :return: {'status': True/False, 'message':'message detail'} """ try: directory_full_path = self.update_directory_full_path_string(directory_full_path) response = self.is_directory_present(directory_full_path) if not response['status']: response = self.create_directory(directory_full_path) if not response['status']: return {'status': False, 'message': 'Failed to created directory [{0}] [{1}]'.format(directory_full_path, response['message'])} response = self.is_file_present(directory_full_path, file_name) if response['status'] and not over_write: return {'status': False, "message": "File [{0}] is already present in directory [{1}]. try with over write option".format( file_name, directory_full_path)} blob = self.bucket.blob(directory_full_path + file_name) blob.upload_from_file(io.BytesIO(dill.dumps(content))) return {'status': True, 'message': 'File [{0}] is created in directory [{1}]'.format(file_name, directory_full_path)} except Exception as e: google_cloud_exception = GoogleCloudException( "Failed to create file with content in module [{0}] class [{1}] method [{2}]" .format(GoogleCloudStorage.__module__.__str__(), GoogleCloudStorage.__name__, self.write_file_content.__name__)) raise Exception(google_cloud_exception.error_message_detail(str(e), sys)) from e def update_directory_full_path_string(self, directory_full_path): """ :param directory_full_path: directory_full_path :return: update the accepted directory """ try: if directory_full_path == "" or directory_full_path == "/": directory_full_path = "" else: if directory_full_path[-1] != "/": directory_full_path = directory_full_path + "/" return directory_full_path except Exception as e: google_cloud_exception = GoogleCloudException( "Failed to create file with content in module [{0}] class [{1}] method [{2}]" .format(GoogleCloudStorage.__module__.__str__(), GoogleCloudStorage.__name__, self.update_directory_full_path_string.__name__)) raise Exception(google_cloud_exception.error_message_detail(str(e), sys)) from e def read_csv_file(self, directory_full_path, file_name): """ :param directory_full_path: directory_full_path :param file_name: file_name :return: {'status': True/False, 'message': 'message detail', 'data_frame': if status True data frame will be returned} """ try: directory_full_path = self.update_directory_full_path_string(directory_full_path) response = self.is_file_present(directory_full_path, file_name) if not response['status']: return response blob = self.bucket.blob(directory_full_path + file_name) content=io.BytesIO() blob.download_to_file(content) content.seek(0) df = pd.read_csv(content) return {'status': True, 'message': 'File [{0}] has been read into data frame'.format(directory_full_path + file_name), 'data_frame': df} except Exception as e: google_cloud_exception = GoogleCloudException( "Failed to create file with content in module [{0}] class [{1}] method [{2}]" .format(GoogleCloudStorage.__module__.__str__(), GoogleCloudStorage.__name__, self.update_directory_full_path_string.__name__)) raise Exception(google_cloud_exception.error_message_detail(str(e), sys)) from e def read_json_file(self,directory_full_path, file_name): try: directory_full_path = self.update_directory_full_path_string(directory_full_path) response = self.is_file_present(directory_full_path, file_name) if not response['status']: return response content = io.BytesIO() blob = self.bucket.blob(directory_full_path + file_name) blob.download_to_file(content) content.seek(0) return {'status': True, 'message': 'File [{0}] has been read'.format(directory_full_path + file_name), 'file_content': json.loads(content.getvalue())} except Exception as e: google_cloud_exception = GoogleCloudException( "Failed to create file with content in module [{0}] class [{1}] method [{2}]" .format(GoogleCloudStorage.__module__.__str__(), GoogleCloudStorage.__name__, self.read_json_file.__name__)) raise Exception(google_cloud_exception.error_message_detail(str(e), sys)) from e def read_file_content(self, directory_full_path, file_name): """ :param directory_full_path: directory_full_path :param file_name: file_name :return: {'status': True/False, 'message': 'message_detail', 'file_content':'If status True then Return object which was used to generate the file with write file content'} """ try: directory_full_path = self.update_directory_full_path_string(directory_full_path) response = self.is_file_present(directory_full_path, file_name) if not response['status']: return response content = io.BytesIO() blob=self.bucket.blob(directory_full_path+file_name) blob.download_to_file(content) content.seek(0) return {'status': True, 'message': 'File [{0}] has been read'.format(directory_full_path + file_name), 'file_content': dill.loads(content.getvalue())} except Exception as e: google_cloud_exception = GoogleCloudException( "Failed to create file with content in module [{0}] class [{1}] method [{2}]" .format(GoogleCloudStorage.__module__.__str__(), GoogleCloudStorage.__name__, self.read_file_content.__name__)) raise Exception(google_cloud_exception.error_message_detail(str(e), sys)) from e def move_file(self, source_directory_full_path, target_directory_full_path, file_name, over_write=False, bucket_name=None): """ :param source_directory_full_path: provide source directory path along with name :param target_directory_full_path: provide target directory path along with name :param file_name: file need to move :param over_write: default False if accept True then overwrite file in target directory if exist :return: {'status': True/False, 'message': 'message detail'} """ try: response = self.copy_file(source_directory_full_path, target_directory_full_path, file_name, over_write, bucket_name) if not response['status']: return {'status': False, 'message': 'Failed to move file due to [{}]'.format(response['message'])} else: if bucket_name is None: bucket_name = self.bucket_name self.remove_file(source_directory_full_path, file_name) return {'status': True, 'message': 'File moved successfully from bucket: [{0}] directory [{1}] to bucket:[{2}] ' 'directory[{3}]'.format(self.bucket_name, source_directory_full_path + file_name, bucket_name, target_directory_full_path + file_name)} except Exception as e: google_cloud_exception = GoogleCloudException( "Failed to create file with content in module [{0}] class [{1}] method [{2}]" .format(GoogleCloudStorage.__module__.__str__(), GoogleCloudStorage.__name__, self.move_file.__name__)) raise Exception(google_cloud_exception.error_message_detail(str(e), sys)) from e def copy_file(self, source_directory_full_path, target_directory_full_path, file_name, over_write=False, bucket_name=None): """ :param source_directory_full_path: provide source directory path along with name :param target_directory_full_path: provide target directory path along with name :param file_name: file need to copy :param over_write: default False if accept True then overwrite file in target directory if exist :return: {'status': True/False, 'message': 'message detail'} """ try: target_directory_full_path = self.update_directory_full_path_string(target_directory_full_path) source_directory_full_path = self.update_directory_full_path_string(source_directory_full_path) response = self.is_file_present(source_directory_full_path, file_name) if not response['status']: return {'status': False, 'message': 'Source file [{0}] is not present'.format(source_directory_full_path + file_name)} if bucket_name is None: bucket_name = self.bucket_name gcp_obj = self else: bucket_name = bucket_name gcp_obj = GoogleCloudStorage(bucket_name=bucket_name) response = gcp_obj.is_file_present(target_directory_full_path, file_name) if response['status'] and not over_write: return {'status': False, 'message': 'Bucket:[{0}] target directory ' '[{1}] contains file [{2}] please' ' try with over write option.'.format(bucket_name, target_directory_full_path, file_name )} response = gcp_obj.is_directory_present(target_directory_full_path) if not response['status']: response = gcp_obj.create_directory(target_directory_full_path) if not response['status']: return {'status': False, 'message': 'Failed to created' ' target directory [{}] in bucket:[{}]'.format( target_directory_full_path, bucket_name )} blob=self.bucket.blob(source_directory_full_path+file_name) self.bucket.copy_blob(blob,gcp_obj.bucket,target_directory_full_path+file_name) return {'status': True, 'message': 'File copied successfully from bucket: [{0}] directory [{1}] to bucket:[{2}] ' 'directory[{3}]'.format(self.bucket_name, source_directory_full_path + file_name, bucket_name, target_directory_full_path + file_name)} except Exception as e: google_cloud_exception = GoogleCloudException( "Failed to create file with content in module [{0}] class [{1}] method [{2}]" .format(GoogleCloudStorage.__module__.__str__(), GoogleCloudStorage.__name__, self.copy_file.__name__)) raise Exception(google_cloud_exception.error_message_detail(str(e), sys)) from e

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1

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null

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c7aaa5c6de4d8b7510fbcdc33320c330f5480814

187

py

Python

core/tests/unit/test_exceptions.py

wattlecloud/foundation-server

e1467d192a7729fa4f116c80dcd001bfd58662e8

[ "Apache-2.0" ]

null

core/tests/unit/test_exceptions.py

wattlecloud/foundation-server

e1467d192a7729fa4f116c80dcd001bfd58662e8

[ "Apache-2.0" ]

1

2021-07-20T00:28:27.000Z

core/tests/unit/test_exceptions.py

wattlecloud/foundation-server

e1467d192a7729fa4f116c80dcd001bfd58662e8

[ "Apache-2.0" ]

null

from wattle.core.const import CoreErrorType from wattle.core.exceptions import CoreError def test_core_error(): core_error = CoreError("TEST") assert core_error.type == "TEST"

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1

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c7e4f95cba844a9f83ac15bb9e854b7c964d36ee

6,139

py

Python

Linear Associator/test_linear_associator.py

FurkhanShaikh/Neural-Networks

7e36140cb54204b52c8f51c6a52c3cd77bf9105c

[ "MIT" ]

null

Linear Associator/test_linear_associator.py

FurkhanShaikh/Neural-Networks

7e36140cb54204b52c8f51c6a52c3cd77bf9105c

[ "MIT" ]

null

Linear Associator/test_linear_associator.py

FurkhanShaikh/Neural-Networks

7e36140cb54204b52c8f51c6a52c3cd77bf9105c

[ "MIT" ]

null

# Shaikh, Mohammed Furkhan # 2020-03-01 import numpy as np from linear_associator import LinearAssociator def test_weights(): input_dimensions = 4 number_of_nodes = 9 model = LinearAssociator(input_dimensions=input_dimensions, number_of_nodes=number_of_nodes, transfer_function="Hard_limit") weights=model.get_weights() assert weights.ndim == 2 and \ weights.shape[0] == number_of_nodes and \ weights.shape[1] == (input_dimensions) model.set_weights(np.ones((number_of_nodes, input_dimensions))) weights = model.get_weights() assert weights.ndim == 2 and \ weights.shape[0] == number_of_nodes and \ weights.shape[1] == (input_dimensions) assert np.array_equal(model.get_weights(), np.ones((number_of_nodes, input_dimensions))) model.initialize_weights(seed=3) weights = np.array([[ 1.78862847, 0.43650985, 0.09649747, -1.8634927 ], [-0.2773882 , -0.35475898, -0.08274148, -0.62700068], [-0.04381817, -0.47721803, -1.31386475, 0.88462238], [ 0.88131804, 1.70957306, 0.05003364, -0.40467741], [-0.54535995, -1.54647732, 0.98236743, -1.10106763], [-1.18504653, -0.2056499 , 1.48614836, 0.23671627], [-1.02378514, -0.7129932 , 0.62524497, -0.16051336], [-0.76883635, -0.23003072, 0.74505627, 1.97611078], [-1.24412333, -0.62641691, -0.80376609, -2.41908317]]) np.testing.assert_array_almost_equal(model.get_weights(), weights, decimal=3) def test_predict_linear(): input_dimensions = 2 number_of_nodes = 5 model = LinearAssociator(input_dimensions=input_dimensions, number_of_nodes=number_of_nodes, transfer_function="Linear") model.initialize_weights(seed=1) X_train = np.array([[-1.43815556, 0.10089809, -1.25432937, 1.48410426], [-1.81784194, 0.42935033, -1.2806198, 0.06527391]]) y = np.array([[-1.22398485, -0.09876447, -1.25403672, 2.37076614], [ 2.7100805 , -0.51397095, 2.0365662 , -0.8538988 ], [ 2.93924278, -0.90084842, 1.86188982, 1.13412472], [-1.12555691, -0.15077626, -1.21375201, 2.53979562], [-0.00551192, -0.07487682, -0.08083147, 0.4572099 ]]) y_hat = model.predict(X_train) np.testing.assert_array_almost_equal(y_hat, y, decimal=4) def test_predict_hard_limit(): input_dimensions = 2 number_of_nodes = 5 model = LinearAssociator(input_dimensions=input_dimensions, number_of_nodes=number_of_nodes, transfer_function="Hard_limit") model.initialize_weights(seed=1) X_train = np.array([[-1.43815556, 0.10089809, -1.25432937, 1.48410426], [-1.81784194, 0.42935033, -1.2806198, 0.06527391]]) y = np.array([[0, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [0, 0, 0, 1], [0, 0, 0, 1]]) y_hat = model.predict(X_train) np.testing.assert_array_almost_equal(y_hat, y, decimal=4) def test_pseudo_inverse_fit(): input_dimensions = 5 number_of_nodes = 5 model = LinearAssociator(input_dimensions=input_dimensions, number_of_nodes=number_of_nodes, transfer_function="Linear") model.initialize_weights(seed=1) X_train = np.random.randn(input_dimensions, 10) out = model.predict(X_train) model.set_weights(np.zeros_like(model.get_weights())) model.fit_pseudo_inverse(X_train, out) new_out = model.predict(X_train) np.testing.assert_array_almost_equal(out, new_out, decimal=4) def test_train_linear_delta(): input_dimensions = 5 number_of_nodes = 5 for i in range(10): model = LinearAssociator(input_dimensions=input_dimensions, number_of_nodes=number_of_nodes, transfer_function="Linear") model.initialize_weights(seed=i+1) X_train = np.random.randn(input_dimensions, 100) out = model.predict(X_train) model.set_weights(np.random.randn(*model.get_weights().shape)) model.train(X_train, out, batch_size=10, num_epochs=50, alpha=0.1, gamma=0.1, learning="delta") new_out = model.predict(X_train) np.testing.assert_array_almost_equal(out, new_out, decimal=4) def test_train_hardlim_delta(): input_dimensions = 5 number_of_nodes = 5 for i in range(10): model = LinearAssociator(input_dimensions=input_dimensions, number_of_nodes=number_of_nodes, transfer_function="Hard_limit") model.initialize_weights(seed=i + 1) X_train = np.random.randn(input_dimensions, 100) out = model.predict(X_train) model.set_weights(np.random.randn(*model.get_weights().shape)) model.train(X_train, out, batch_size=10, num_epochs=200, alpha=0.1, gamma=0.1, learning="Delta") new_out = model.predict(X_train) np.testing.assert_array_almost_equal(out, new_out, decimal=4) def test_calculate_mean_squared_error(): input_dimensions = 5 number_of_nodes = 5 number_of_samples=18 model = LinearAssociator(input_dimensions=input_dimensions, number_of_nodes=number_of_nodes, transfer_function="Linear") model.initialize_weights(seed=1) X_train = np.random.randn(input_dimensions, number_of_samples) assert model.calculate_mean_squared_error(X_train,model.predict(X_train)) == 0 target=np.random.randn(number_of_nodes,number_of_samples) mse=model.calculate_mean_squared_error(X_train,target) np.testing.assert_array_almost_equal(mse, 3.7144714504979635, decimal=4) model = LinearAssociator(input_dimensions=input_dimensions, number_of_nodes=number_of_nodes, transfer_function="Hard_limit") model.initialize_weights(seed=1) X_train = np.random.randn(input_dimensions, number_of_samples) assert model.calculate_mean_squared_error(X_train,model.predict(X_train)) == 0 target=np.random.randn(number_of_nodes,number_of_samples) mse=model.calculate_mean_squared_error(X_train,target) np.testing.assert_array_almost_equal(mse, 1.1234558948088766, decimal=4)

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0.080357

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null

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1

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null

0

5

1bfd120e9811c46187cdf521348a2b0186a9c053

205

py

Python

snippets/numpy_testscript.py

rhishi/python-snippets

60020d3a187d7687b38b6b58f74ceb03a37983b9

[ "Apache-2.0" ]

null

snippets/numpy_testscript.py

rhishi/python-snippets

60020d3a187d7687b38b6b58f74ceb03a37983b9

[ "Apache-2.0" ]

null

snippets/numpy_testscript.py

rhishi/python-snippets

60020d3a187d7687b38b6b58f74ceb03a37983b9

[ "Apache-2.0" ]

null

# IPython log file from numpy import * arange(10) zeros(10) zeros(10, 10) zeros((10, 10)) img = zeros((10, 10, 10)) img[:,:,0] a = arange(10) a[2:5] a[2:2] a[2:1] a[2:3] a[::-1] a[0:10:-1] a[10:0:-1]

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1

0

null

0

5

401e2697ef604753724e24961ffaaa9a7339e92a

17,057

py

Python

tests/providers/googledrive/test_provider.py

laurenrevere/waterbutler

4f358d94376997cd9592b18b67d13a7482c7aa2a

[ "Apache-2.0" ]

null

tests/providers/googledrive/test_provider.py

laurenrevere/waterbutler

4f358d94376997cd9592b18b67d13a7482c7aa2a

[ "Apache-2.0" ]

null

tests/providers/googledrive/test_provider.py

laurenrevere/waterbutler

4f358d94376997cd9592b18b67d13a7482c7aa2a

[ "Apache-2.0" ]

null

import pytest from tests.utils import async import io import aiohttpretty from waterbutler.core import streams from waterbutler.core import exceptions from waterbutler.core.path import WaterButlerPath from waterbutler.providers.googledrive import settings as ds from waterbutler.providers.googledrive import GoogleDriveProvider from waterbutler.providers.googledrive.provider import GoogleDrivePath from waterbutler.providers.googledrive.metadata import GoogleDriveRevision from waterbutler.providers.googledrive.metadata import GoogleDriveFileMetadata from waterbutler.providers.googledrive.metadata import GoogleDriveFolderMetadata from tests.providers.googledrive import fixtures @pytest.fixture def file_content(): return b'SLEEP IS FOR THE WEAK GO SERVE STREAMS' @pytest.fixture def file_like(file_content): return io.BytesIO(file_content) @pytest.fixture def file_stream(file_like): return streams.FileStreamReader(file_like) @pytest.fixture def auth(): return { 'name': 'cat', 'email': 'cat@cat.com', } @pytest.fixture def credentials(): return {'token': 'hugoandkim'} @pytest.fixture def settings(): return { 'folder': { 'id': '19003e', 'name': '/conrad/birdie', }, } @pytest.fixture def provider(auth, credentials, settings): return GoogleDriveProvider(auth, credentials, settings) class TestCRUD: # @async # @pytest.mark.aiohttpretty # def test_download_drive(self, provider): # path = '/birdie\'"".jpg' # item = fixtures.list_file['items'][0] # query = provider._build_query(provider.folder['id'], title=path.lstrip('/')) # assert 'birdie\\\'\\"\\".jpg' in query @async @pytest.mark.aiohttpretty def test_download_drive(self, provider): body = b'we love you conrad' item = fixtures.list_file['items'][0] path = WaterButlerPath('/birdie.jpg', _ids=(provider.folder['id'], item['id'])) download_file_url = item['downloadUrl'] metadata_url = provider.build_url('files', path.identifier) aiohttpretty.register_json_uri('GET', metadata_url, body=item) aiohttpretty.register_uri('GET', download_file_url, body=body, auto_length=True) result = yield from provider.download(path) content = yield from result.read() assert content == body @async @pytest.mark.aiohttpretty def test_download_drive_revision(self, provider): revision = 'oldest' body = b'we love you conrad' item = fixtures.list_file['items'][0] path = WaterButlerPath('/birdie.jpg', _ids=(provider.folder['id'], item['id'])) download_file_url = item['downloadUrl'] metadata_url = provider.build_url('files', path.identifier) revision_url = provider.build_url('files', item['id'], 'revisions', revision, alt='json') aiohttpretty.register_json_uri('GET', revision_url, body=item) aiohttpretty.register_json_uri('GET', metadata_url, body=item) aiohttpretty.register_uri('GET', download_file_url, body=body, auto_length=True) result = yield from provider.download(path, revision=revision) content = yield from result.read() assert content == body @async @pytest.mark.aiohttpretty def test_download_docs(self, provider): body = b'we love you conrad' item = fixtures.docs_file_metadata path = WaterButlerPath('/birdie.jpg', _ids=(provider.folder['id'], item['id'])) metadata_url = provider.build_url('files', path.identifier) revisions_url = provider.build_url('files', item['id'], 'revisions') download_file_url = item['exportLinks']['application/vnd.openxmlformats-officedocument.wordprocessingml.document'] aiohttpretty.register_json_uri('GET', metadata_url, body=item) aiohttpretty.register_uri('GET', download_file_url, body=body, auto_length=True) aiohttpretty.register_json_uri('GET', revisions_url, body={'items': [{'id': 'foo'}]}) result = yield from provider.download(path) content = yield from result.read() assert content == body @async @pytest.mark.aiohttpretty def test_upload_create(self, provider, file_stream): upload_id = '7' item = fixtures.list_file['items'][0] path = WaterButlerPath('/birdie.jpg', _ids=(provider.folder['id'], None)) start_upload_url = provider._build_upload_url('files', uploadType='resumable') finish_upload_url = provider._build_upload_url('files', uploadType='resumable', upload_id=upload_id) aiohttpretty.register_json_uri('PUT', finish_upload_url, body=item) aiohttpretty.register_uri('POST', start_upload_url, headers={'LOCATION': 'http://waterbutler.io?upload_id={}'.format(upload_id)}) result, created = yield from provider.upload(file_stream, path) expected = GoogleDriveFileMetadata(item, path).serialized() assert created is True assert result == expected assert aiohttpretty.has_call(method='PUT', uri=finish_upload_url) assert aiohttpretty.has_call(method='POST', uri=start_upload_url) @async @pytest.mark.aiohttpretty def test_upload_doesnt_unquote(self, provider, file_stream): upload_id = '7' item = fixtures.list_file['items'][0] path = GoogleDrivePath('/birdie%2F %20".jpg', _ids=(provider.folder['id'], None)) start_upload_url = provider._build_upload_url('files', uploadType='resumable') finish_upload_url = provider._build_upload_url('files', uploadType='resumable', upload_id=upload_id) aiohttpretty.register_json_uri('PUT', finish_upload_url, body=item) aiohttpretty.register_uri('POST', start_upload_url, headers={'LOCATION': 'http://waterbutler.io?upload_id={}'.format(upload_id)}) result, created = yield from provider.upload(file_stream, path) expected = GoogleDriveFileMetadata(item, path).serialized() assert created is True assert result == expected assert aiohttpretty.has_call(method='POST', uri=start_upload_url) assert aiohttpretty.has_call(method='PUT', uri=finish_upload_url) @async @pytest.mark.aiohttpretty def test_upload_update(self, provider, file_stream): upload_id = '7' item = fixtures.list_file['items'][0] path = WaterButlerPath('/birdie.jpg', _ids=(provider.folder['id'], item['id'])) start_upload_url = provider._build_upload_url('files', path.identifier, uploadType='resumable') finish_upload_url = provider._build_upload_url('files', path.identifier, uploadType='resumable', upload_id=upload_id) aiohttpretty.register_json_uri('PUT', finish_upload_url, body=item) aiohttpretty.register_uri('PUT', start_upload_url, headers={'LOCATION': 'http://waterbutler.io?upload_id={}'.format(upload_id)}) result, created = yield from provider.upload(file_stream, path) assert aiohttpretty.has_call(method='PUT', uri=start_upload_url) assert aiohttpretty.has_call(method='PUT', uri=finish_upload_url) assert created is False expected = GoogleDriveFileMetadata(item, path).serialized() assert result == expected @async @pytest.mark.aiohttpretty def test_upload_create_nested(self, provider, file_stream): upload_id = '7' item = fixtures.list_file['items'][0] path = WaterButlerPath( '/ed/sullivan/show.mp3', _ids=[str(x) for x in range(3)] ) start_upload_url = provider._build_upload_url('files', uploadType='resumable') finish_upload_url = provider._build_upload_url('files', uploadType='resumable', upload_id=upload_id) aiohttpretty.register_uri('POST', start_upload_url, headers={'LOCATION': 'http://waterbutler.io?upload_id={}'.format(upload_id)}) aiohttpretty.register_json_uri('PUT', finish_upload_url, body=item) result, created = yield from provider.upload(file_stream, path) assert aiohttpretty.has_call(method='POST', uri=start_upload_url) assert aiohttpretty.has_call(method='PUT', uri=finish_upload_url) assert created is True expected = GoogleDriveFileMetadata(item, path).serialized() assert result == expected @async @pytest.mark.aiohttpretty def test_delete(self, provider): item = fixtures.list_file['items'][0] path = WaterButlerPath('/birdie.jpg', _ids=(None, item['id'])) delete_url = provider.build_url('files', item['id']) aiohttpretty.register_uri('DELETE', delete_url, status=204) result = yield from provider.delete(path) assert result is None assert aiohttpretty.has_call(method='DELETE', uri=delete_url) @async @pytest.mark.aiohttpretty def test_delete_folder(self, provider): item = fixtures.folder_metadata delete_url = provider.build_url('files', item['id']) path = WaterButlerPath('/foobar/', _ids=('doesntmatter', item['id'])) aiohttpretty.register_uri('DELETE', delete_url, status=204) result = yield from provider.delete(path) assert aiohttpretty.has_call(method='DELETE', uri=delete_url) @async @pytest.mark.aiohttpretty def test_delete_not_existing(self, provider): with pytest.raises(exceptions.NotFoundError): yield from provider.delete(WaterButlerPath('/foobar/')) class TestMetadata: @async @pytest.mark.aiohttpretty def test_metadata_file_root(self, provider): path = WaterButlerPath('/birdie.jpg', _ids=(provider.folder['id'], fixtures.list_file['items'][0]['id'])) list_file_url = provider.build_url('files', path.identifier) aiohttpretty.register_json_uri('GET', list_file_url, body=fixtures.list_file['items'][0]) result = yield from provider.metadata(path) expected = GoogleDriveFileMetadata(fixtures.list_file['items'][0], path).serialized() assert result == expected @async @pytest.mark.aiohttpretty def test_metadata_file_root_not_found(self, provider): path = '/birdie.jpg' path = WaterButlerPath('/birdie.jpg', _ids=(provider.folder['id'], None)) with pytest.raises(exceptions.MetadataError) as exc_info: yield from provider.metadata(path) assert exc_info.value.code == 404 @async @pytest.mark.aiohttpretty def test_metadata_file_nested(self, provider): path = GoogleDrivePath( '/hugo/kim/pins', _ids=[str(x) for x in range(4)] ) item = fixtures.generate_list(3)['items'][0] url = provider.build_url('files', path.identifier) aiohttpretty.register_json_uri('GET', url, body=item) result = yield from provider.metadata(path) expected = GoogleDriveFileMetadata(item, path).serialized() assert result == expected assert aiohttpretty.has_call(method='GET', uri=url) # @async # @pytest.mark.aiohttpretty # def test_metadata_file_nested_not_child(self, provider): # path = '/ed/sullivan/show.mp3' # query = provider._build_query(provider.folder['id'], title='ed') # url = provider.build_url('files', q=query, alt='json') # aiohttpretty.register_json_uri('GET', url, body={'items': []}) # with pytest.raises(exceptions.MetadataError) as exc_info: # yield from provider.metadata(path) # assert exc_info.value.code == 404 @async @pytest.mark.aiohttpretty def test_metadata_root_folder(self, provider): path = yield from provider.validate_path('/') query = provider._build_query(provider.folder['id']) list_file_url = provider.build_url('files', q=query, alt='json') aiohttpretty.register_json_uri('GET', list_file_url, body=fixtures.list_file) result = yield from provider.metadata(path) expected = GoogleDriveFileMetadata( fixtures.list_file['items'][0], path.child(fixtures.list_file['items'][0]['title']) ).serialized() assert result == [expected] @async @pytest.mark.aiohttpretty def test_metadata_folder_nested(self, provider): path = GoogleDrivePath( '/hugo/kim/pins/', _ids=[str(x) for x in range(4)] ) body = fixtures.generate_list(3) item = body['items'][0] query = provider._build_query(path.identifier) url = provider.build_url('files', q=query, alt='json') aiohttpretty.register_json_uri('GET', url, body=body) result = yield from provider.metadata(path) expected = GoogleDriveFileMetadata(item, path.child(item['title'])).serialized() assert result == [expected] assert aiohttpretty.has_call(method='GET', uri=url) @async @pytest.mark.aiohttpretty def test_folder_metadata(self, provider): path = GoogleDrivePath( '/hugo/kim/pins/', _ids=[str(x) for x in range(4)] ) body = fixtures.generate_list(3, **fixtures.folder_metadata) item = body['items'][0] query = provider._build_query(path.identifier) url = provider.build_url('files', q=query, alt='json') aiohttpretty.register_json_uri('GET', url, body=body) result = yield from provider.metadata(path) expected = GoogleDriveFolderMetadata(item, path.child(item['title'], folder=True)).serialized() assert result == [expected] assert aiohttpretty.has_call(method='GET', uri=url) class TestRevisions: @async @pytest.mark.aiohttpretty def test_get_revisions(self, provider): item = fixtures.list_file['items'][0] path = WaterButlerPath('/birdie.jpg', _ids=('doesntmatter', item['id'])) revisions_url = provider.build_url('files', item['id'], 'revisions') aiohttpretty.register_json_uri('GET', revisions_url, body=fixtures.revisions_list) result = yield from provider.revisions(path) expected = [ GoogleDriveRevision(each).serialized() for each in fixtures.revisions_list['items'] ] assert result == expected @async @pytest.mark.aiohttpretty def test_get_revisions_no_revisions(self, provider): item = fixtures.list_file['items'][0] metadata_url = provider.build_url('files', item['id']) revisions_url = provider.build_url('files', item['id'], 'revisions') path = WaterButlerPath('/birdie.jpg', _ids=('doesntmatter', item['id'])) aiohttpretty.register_json_uri('GET', metadata_url, body=item) aiohttpretty.register_json_uri('GET', revisions_url, body=fixtures.revisions_list_empty) result = yield from provider.revisions(path) expected = [ GoogleDriveRevision({ 'modifiedDate': item['modifiedDate'], 'id': fixtures.revisions_list_empty['etag'] + ds.DRIVE_IGNORE_VERSION, }).serialized() ] assert result == expected @async @pytest.mark.aiohttpretty def test_get_revisions_doesnt_exist(self, provider): with pytest.raises(exceptions.NotFoundError): yield from provider.revisions(WaterButlerPath('/birdie.jpg')) class TestCreateFolder: @async @pytest.mark.aiohttpretty def test_already_exists(self, provider): path = WaterButlerPath('/hugo/', _ids=('doesnt', 'matter')) with pytest.raises(exceptions.FolderNamingConflict) as e: yield from provider.create_folder(path) assert e.value.code == 409 assert e.value.message == 'Cannot create folder "{}" because a file or folder already exists at path "{}"'.format(path.name, str(path)) @async @pytest.mark.aiohttpretty def test_returns_metadata(self, provider): path = WaterButlerPath('/osf%20test/', _ids=(provider.folder['id'], None)) aiohttpretty.register_json_uri('POST', provider.build_url('files'), body=fixtures.folder_metadata) resp = yield from provider.create_folder(path) assert resp['kind'] == 'folder' assert resp['name'] == 'osf test' assert resp['path'] == '/osf%20test/' @async @pytest.mark.aiohttpretty def test_raises_non_404(self, provider): path = WaterButlerPath('/hugo/kim/pins/', _ids=(provider.folder['id'], 'something', 'something', None)) url = provider.build_url('files') aiohttpretty.register_json_uri('POST', url, status=418) with pytest.raises(exceptions.CreateFolderError) as e: yield from provider.create_folder(path) assert e.value.code == 418 @async @pytest.mark.aiohttpretty def test_must_be_folder(self, provider, monkeypatch): with pytest.raises(exceptions.CreateFolderError) as e: yield from provider.create_folder(WaterButlerPath('/carp.fish', _ids=('doesnt', 'matter')))

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py

Python

src/iolite/ice_ring/__init__.py

egrahl/iolite

064e30d9d7ec8c08f60c486cf9d6c48cca6562b5

[ "BSD-2-Clause" ]

null

src/iolite/ice_ring/__init__.py

egrahl/iolite

064e30d9d7ec8c08f60c486cf9d6c48cca6562b5

[ "BSD-2-Clause" ]

null

src/iolite/ice_ring/__init__.py

egrahl/iolite

064e30d9d7ec8c08f60c486cf9d6c48cca6562b5

[ "BSD-2-Clause" ]

1

2019-07-05T12:52:03.000Z

#init file of ice_ring

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4051e7cf049965226b0cd179ed313822266a6439

590

py

Python

pypy/interpreter/callbench/f04.py

kantai/passe-pypy-taint-tracking

b60a3663f8fe89892dc182c8497aab97e2e75d69

[ "MIT" ]

2

2016-07-06T23:30:20.000Z

2017-05-30T15:59:31.000Z

pypy/interpreter/callbench/f04.py

woodrow/pyoac

b5dc59e6a38e7912db47f26fb23ffa4764a3c0e7

[ "MIT" ]

null

pypy/interpreter/callbench/f04.py

woodrow/pyoac

b5dc59e6a38e7912db47f26fb23ffa4764a3c0e7

[ "MIT" ]

2

2020-07-09T08:14:22.000Z

2021-01-15T18:01:25.000Z

from sup import run def w(N, start): def f0(): pass def f1(a): pass def f2(a, b): pass def f3(a, b, c): pass def f4(a, b, c, d): pass def f5(a, b, c, d, e): pass start() i = 0 while i < N: f0() f0() f0() f1(1) f1(1) f2(1, 2) f3(1, 2, 3) f4(1, 2, 3, 4) f5(1, 2, 3, 4, 5) f0() f0() f0() f1(1) f1(1) f2(1, 2) f3(1, 2, 3) f4(1, 2, 3, 4) i+=1 run(w, 1000)

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405a6e56f036c07f3a7d418af570ef381d7e1d4a

786

py

Python

sdk/python/pulumi_azure/containerservice/__init__.py

aangelisc/pulumi-azure

71dd9c75403146e16f7480e5a60b08bc0329660e

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

null

sdk/python/pulumi_azure/containerservice/__init__.py

aangelisc/pulumi-azure

71dd9c75403146e16f7480e5a60b08bc0329660e

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

null

sdk/python/pulumi_azure/containerservice/__init__.py

aangelisc/pulumi-azure

71dd9c75403146e16f7480e5a60b08bc0329660e

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

null

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** from .. import _utilities import typing # Export this package's modules as members: from .get_cluster_node_pool import * from .get_kubernetes_cluster import * from .get_kubernetes_service_versions import * from .get_registry import * from .get_registry_scope_map import * from .get_registry_token import * from .group import * from .kubernetes_cluster import * from .kubernetes_cluster_node_pool import * from .registry import * from .registry_scope_map import * from .registry_token import * from .registry_webhook import * from .registry_webook import * from ._inputs import * from . import outputs

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py

Python

package/test/test_users_data_manager.py

QualiSystemsLab/cloudshell-training-workflow

95360acc5a180badc7c46788c2edf4e348b1d2e0

[ "Apache-2.0" ]

null

package/test/test_users_data_manager.py

QualiSystemsLab/cloudshell-training-workflow

95360acc5a180badc7c46788c2edf4e348b1d2e0

[ "Apache-2.0" ]

null

package/test/test_users_data_manager.py

QualiSystemsLab/cloudshell-training-workflow

95360acc5a180badc7c46788c2edf4e348b1d2e0

[ "Apache-2.0" ]

null

import unittest from mock import Mock from cloudshell.orch.training.services.users_data_manager import UsersDataManagerService, USERS_DICT_KEY class TestUsersDataManagerService(unittest.TestCase): def test_add(self): # arrange sandbox = Mock() users_data_manager = UsersDataManagerService(sandbox) user = 'user' # act users_data_manager.add_or_update(user, 'key', 'value1') # assert self.assertEqual('value1', users_data_manager._data[user]['key']) def test_update(self): # arrange sandbox = Mock() users_data_manager = UsersDataManagerService(sandbox) user = 'user' users_data_manager.add_or_update(user, 'key', 'value1') self.assertEqual('value1', users_data_manager._data[user]['key']) # act users_data_manager.add_or_update(user, 'key', 'value2') # assert self.assertEqual('value2', users_data_manager._data[user]['key']) def test_get(self): # arrange sandbox = Mock() users_data_manager = UsersDataManagerService(sandbox) user = 'user' users_data_manager.add_or_update(user, 'key1', 'value1') users_data_manager.add_or_update(user, 'key2', 'value2') # act user_data = users_data_manager.get(user) # assert self.assertTrue(user_data == {'key1': 'value1', 'key2': 'value2'}) def test_get_key(self): # arrange sandbox = Mock() users_data_manager = UsersDataManagerService(sandbox) user = 'user' users_data_manager.add_or_update(user, 'key1', 'value1') # act value = users_data_manager.get_key(user, 'key1') # assert self.assertEqual('value1', value) def test_get_key_no_such_key(self): # arrange sandbox = Mock() users_data_manager = UsersDataManagerService(sandbox) user = 'user' users_data_manager.add_or_update(user, 'key1', 'value1') # act value = users_data_manager.get_key(user, 'key2') # assert self.assertIsNone(value) def test_load_data_exists_in_server(self): # arrange sandbox = Mock() sandbox.automation_api = Mock() sandbox_data_kvp = [Mock(Key=USERS_DICT_KEY, Value='{"user": {"key1": "value1"}}'), Mock(Key='some_key', Value='some_value')] get_sandbox_data_return_val = Mock(SandboxDataKeyValues=sandbox_data_kvp) sandbox.automation_api.GetSandboxData = Mock(return_value=get_sandbox_data_return_val) users_data_manager = UsersDataManagerService(sandbox) # act users_data_manager.load() # assert self.assertTrue(users_data_manager._data == {'user': {'key1': 'value1'}}) def test_load_no_sandboxdata_from_server(self): # arrange sandbox = Mock() sandbox.automation_api = Mock() sandbox_data_kvp = [] sandbox.automation_api.GetSandboxData = Mock(return_value=Mock(SandboxDataKeyValues=sandbox_data_kvp)) users_data_manager = UsersDataManagerService(sandbox) # act users_data_manager.load() # assert self.assertTrue(users_data_manager._data == {}) def test_load_no_userdata_in_sandboxdata_from_server(self): # arrange sandbox = Mock() sandbox.automation_api = Mock() sandbox_data_kvp = [Mock(Key='some_key', Value='some_value')] sandbox.automation_api.GetSandboxData = Mock(return_value=Mock(SandboxDataKeyValues=sandbox_data_kvp)) users_data_manager = UsersDataManagerService(sandbox) # act users_data_manager.load() # assert self.assertTrue(users_data_manager._data == {})

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40881f4a03693dee36da4969f0a8c71b0455d4b8

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py

Python

tests/integration_test_single_hop/maximum_data_qubit_limit_check.py

AleBestia/QuNetSim

bae7ab9f925af5858c99af9691cd7fec05ae74b6

[ "MIT" ]

null

tests/integration_test_single_hop/maximum_data_qubit_limit_check.py

AleBestia/QuNetSim

bae7ab9f925af5858c99af9691cd7fec05ae74b6

[ "MIT" ]

null

tests/integration_test_single_hop/maximum_data_qubit_limit_check.py

AleBestia/QuNetSim

bae7ab9f925af5858c99af9691cd7fec05ae74b6

[ "MIT" ]

1

2020-09-17T15:43:34.000Z

import sys import time sys.path.append("../..") from qunetsim.backends import CQCBackend from qunetsim.components.host import Host from qunetsim.components.network import Network from qunetsim.objects import Qubit def main(): print("Test maximum data qubit has been skipped.") return backend = CQCBackend() network = Network.get_instance() nodes = ["Alice", "Bob", "Eve", "Dean"] network.start(nodes, backend) network.delay = 0.7 hosts = {'alice': Host('Alice', backend), 'bob': Host('Bob', backend)} network.delay = 0 # A <-> B hosts['alice'].add_connection('Bob') hosts['bob'].add_connection('Alice') hosts['alice'].memory_limit = 1 hosts['bob'].memory_limit = 1 hosts['alice'].start() hosts['bob'].start() for h in hosts.values(): network.add_host(h) q_alice_id_1 = hosts['alice'].send_qubit(hosts['bob'].host_id, Qubit(hosts['alice'])) time.sleep(2) q_alice_id_2 = hosts['alice'].send_qubit(hosts['bob'].host_id, Qubit(hosts['alice'])) time.sleep(2) q_bob_id_1 = hosts['bob'].send_qubit(hosts['alice'].host_id, Qubit(hosts['bob'])) time.sleep(2) q_bob_id_2 = hosts['bob'].send_qubit(hosts['alice'].host_id, Qubit(hosts['bob'])) time.sleep(2) # Allow the network to process the requests # TODO: remove the need for this time.sleep(2) i = 0 while len(hosts['alice'].get_data_qubits(hosts['bob'].host_id)) < 1 and i < 5: time.sleep(1) i += 1 i = 0 while len(hosts['bob'].get_data_qubits(hosts['alice'].host_id)) < 1 and i < 5: time.sleep(1) i += 1 assert len(hosts['alice'].get_data_qubits(hosts['bob'].host_id)) == 1 assert hosts['alice'].get_data_qubit(hosts['bob'].host_id, q_bob_id_1).measure() == 0 assert hosts['alice'].get_data_qubit(hosts['bob'].host_id, q_bob_id_2) == None assert len(hosts['bob'].get_data_qubits(hosts['alice'].host_id)) == 1 assert hosts['bob'].get_data_qubit(hosts['alice'].host_id, q_alice_id_1).measure() == 0 assert hosts['bob'].get_data_qubit(hosts['alice'].host_id, q_alice_id_2) == None hosts['alice'].set_data_qubit_memory_limit(2, hosts['bob'].host_id) hosts['bob'].set_data_qubit_memory_limit(2) q_alice_id_1 = hosts['alice'].send_qubit(hosts['bob'].host_id, Qubit(hosts['alice'])) time.sleep(2) q_alice_id_2 = hosts['alice'].send_qubit(hosts['bob'].host_id, Qubit(hosts['alice'])) time.sleep(2) q_alice_id_3 = hosts['alice'].send_qubit(hosts['bob'].host_id, Qubit(hosts['alice'])) time.sleep(2) q_bob_id_1 = hosts['bob'].send_qubit(hosts['alice'].host_id, Qubit(hosts['bob'])) time.sleep(2) q_bob_id_2 = hosts['bob'].send_qubit(hosts['alice'].host_id, Qubit(hosts['bob'])) time.sleep(2) q_bob_id_3 = hosts['bob'].send_qubit(hosts['alice'].host_id, Qubit(hosts['bob'])) time.sleep(2) # Allow the network to process the requests time.sleep(3) i = 0 while len(hosts['alice'].get_data_qubits(hosts['bob'].host_id)) < 2 and i < 5: time.sleep(1) i += 1 i = 0 while len(hosts['bob'].get_data_qubits(hosts['alice'].host_id)) < 2 and i < 5: time.sleep(1) i += 1 assert len(hosts['alice'].get_data_qubits(hosts['bob'].host_id)) == 2 assert hosts['alice'].get_data_qubit(hosts['bob'].host_id, q_bob_id_1).measure() == 0 assert hosts['alice'].get_data_qubit(hosts['bob'].host_id, q_bob_id_2).measure() == 0 assert hosts['alice'].get_data_qubit(hosts['bob'].host_id, q_bob_id_3) == None assert len(hosts['bob'].get_data_qubits(hosts['alice'].host_id)) == 2 assert hosts['bob'].get_data_qubit(hosts['alice'].host_id, q_alice_id_1).measure() == 0 assert hosts['bob'].get_data_qubit(hosts['alice'].host_id, q_alice_id_2).measure() == 0 assert hosts['bob'].get_data_qubit(hosts['alice'].host_id, q_alice_id_3) == None print("All tests succesfull!") network.stop(True) exit() if __name__ == '__main__': main()

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py

Python

stubs.min/System/Runtime/InteropServices/__init___parts/OutAttribute.py

hdm-dt-fb/ironpython-stubs

4d2b405eda3ceed186e8adca55dd97c332c6f49d

[ "MIT" ]

1

2017-07-25T14:30:18.000Z

stubs.min/System/Runtime/InteropServices/__init___parts/OutAttribute.py

hdm-dt-fb/ironpython-stubs

4d2b405eda3ceed186e8adca55dd97c332c6f49d

[ "MIT" ]

null

stubs.min/System/Runtime/InteropServices/__init___parts/OutAttribute.py

hdm-dt-fb/ironpython-stubs

4d2b405eda3ceed186e8adca55dd97c332c6f49d

[ "MIT" ]

null

class OutAttribute(Attribute,_Attribute): """ Indicates that data should be marshaled from callee back to caller. OutAttribute() """ def __init__(self,*args): """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass

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null

0

1

0

1

0

5

409838f7dfc95ed71f915a0e702866abb8ab62d7

120

py

Python

nalapi/action/__init__.py

vibby/nalapi

140d388b2935295db9f790d884d3c86690d30fc0

[ "MIT" ]

null

nalapi/action/__init__.py

vibby/nalapi

140d388b2935295db9f790d884d3c86690d30fc0

[ "MIT" ]

null

nalapi/action/__init__.py

vibby/nalapi

140d388b2935295db9f790d884d3c86690d30fc0

[ "MIT" ]

null

"""Action package for the nalapi.""" import os import sys sys.path.append(os.path.dirname(os.path.realpath(__file__)))

20

60

0.75

19

120

4.526316

0.684211

0.139535

0

0.091667

120

5

61

24

0.788991

0.25

0

1

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true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

40e3078879673ce6410f05a41a4762b811195581

4,445

py

Python

deps/cache/tests.py

SysKillerDev/virtkick-backend

62cad6baf2d53e3abb71bfc5862ba1180a1b5acf

[ "Apache-2.0" ]

null

deps/cache/tests.py

SysKillerDev/virtkick-backend

62cad6baf2d53e3abb71bfc5862ba1180a1b5acf

[ "Apache-2.0" ]

null

deps/cache/tests.py

SysKillerDev/virtkick-backend

62cad6baf2d53e3abb71bfc5862ba1180a1b5acf

[ "Apache-2.0" ]

1

2021-07-18T14:09:37.000Z

# coding=utf-8 import random import time import threading import unittest from lru_cache import LruCache class TesLruCache(unittest.TestCase): def test_cache_normal(self): a = [] @LruCache(maxsize=2, timeout=1) def bar(num): a.append(num) return num bar(1) bar(1) self.assertEqual(a, [1]) def test_cache_none(self): a = [] @LruCache(maxsize=2, timeout=1) def bar(num): a.append(num) return None bar(1) bar(1) self.assertEqual(a, [1]) def test_cache_when_timeout(self): a = [] @LruCache(maxsize=2, timeout=1) def bar(num): a.append(num) return num bar(2) time.sleep(2) bar(2) self.assertEqual(a, [2, 2]) def test_cache_when_cache_is_full(self): a = [] @LruCache(maxsize=2, timeout=1) def bar(num): a.append(num) return num bar(1) bar(2) bar(3) bar(1) self.assertEqual(a, [1, 2, 3, 1]) def test_cache_with_multi_thread(self): a = [] @LruCache(maxsize=10, timeout=1) def bar(num): a.append(num) return num for i in xrange(10): threading.Thread(target=bar, args=(i, )).start() main_thread = threading.currentThread() for t in threading.enumerate(): if t is not main_thread: t.join() bar(random.randint(0, 9)) self.assertEqual(set(a), set(range(10))) def test_cache_with_multi_thread_two_func(self): a = [] @LruCache(maxsize=10, timeout=1) def bar(num): a.append(num) return num b = [] @LruCache(maxsize=10, timeout=1) def bar(num): b.append(num) return num + 1 for i in xrange(10): threading.Thread(target=bar, args=(i, )).start() threading.Thread(target=bar, args=(i, )).start() main_thread = threading.currentThread() for t in threading.enumerate(): if t is not main_thread: t.join() feed = random.randint(0, 9) self.assertEqual(bar(feed), feed) self.assertEqual(bar(feed), feed + 1) self.assertEqual(set(a), set(range(10))) self.assertEqual(set(b), set(range(10))) def test_cache_when_timeout_and_maxsize_is_none(self): a = [] @LruCache() def bar(num): a.append(num) return num bar(1) bar(1) self.assertEqual(a, [1]) def test_cache_when_timeout_is_none(self): a = [] @LruCache(maxsize=10) def bar(num): a.append(num) return num bar(1) bar(1) self.assertEqual(a, [1]) def test_cache_when_only_maxsize_is_none_normal(self): a = [] @LruCache(timeout=2) def bar(num): a.append(num) return num bar(1) bar(1) self.assertEqual(a, [1]) def test_cache_when_only_maxsize_is_none_timeout(self): a = [] @LruCache(timeout=1) def bar(num): a.append(num) return num bar(1) time.sleep(2) bar(1) self.assertEqual(a, [1, 1]) def test_cache_when_only_maxsize_is_none_normal_method(self): a = [] class Func(object): @LruCache(timeout=2) def bar(self, num): a.append(num) return num fun = Func() fun.bar(1) fun.bar(1) self.assertEqual(a, [1]) def test_cache_when_only_maxsize_is_none_normal_method_timeout(self): a = [] class Func(object): @LruCache(timeout=1) def bar(self, num): a.append(num) return num fun = Func() fun.bar(1) time.sleep(2) fun.bar(1) self.assertEqual(a, [1, 1]) def test_invalidate(self): a = [] @LruCache() def bar(num): a.append(num) return num bar(1) bar(1) self.assertEqual(a, [1]) bar.invalidate(1) bar(1) self.assertEqual(a, [1, 1]) if __name__ == "__main__": unittest.main()

21.57767

73

0.503487

549

4,445

3.932605

0.125683

0.038907

0.097267

0.078277

0.84113

0.779991

0.71422

0.641501

0.625753

0.602594

0

0.031815

0.377728

4,445

205

74

21.682927

0.748735

0.0027

0

0.775641

0

0.001805

0

0.108974

1

0.173077

false

0

0.032051

0

0.314103

0

null

0

1

0

1

0

1

0

null

0

5

40ed6241a92c044295305141e640527ecaa7dc32

629

py

Python

doctest/rundoctests.py

orbnauticus/silk

a139e11aaf824d593c9a828851c9e9d6b287000c

[ "BSD-3-Clause" ]

null

doctest/rundoctests.py

orbnauticus/silk

a139e11aaf824d593c9a828851c9e9d6b287000c

[ "BSD-3-Clause" ]

null

doctest/rundoctests.py

orbnauticus/silk

a139e11aaf824d593c9a828851c9e9d6b287000c

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python import doctest import silk doctest.testmod(silk) import silk.webdoc doctest.testmod(silk.webdoc) doctest.testmod(silk.webdoc.node) doctest.testmod(silk.webdoc.css) doctest.testmod(silk.webdoc.html) doctest.testmod(silk.webdoc.html.common) import silk.webdoc.stencil doctest.testmod(silk.webdoc.stencil) import silk.webdoc.html.v4 import silk.webdoc.html.v5 doctest.testmod(silk.webdoc.html.v4) doctest.testmod(silk.webdoc.html.v5) import silk.webreq doctest.testmod(silk.webreq) import silk.webdb doctest.testmod(silk.webdb) doctest.testmod(silk.webdb.drivers) doctest.testmod(silk.webdb.drivers.base)

22.464286

40

0.81558

95

629

5.4

0.210526

0.354776

0.45614

0.374269

0.510721

0.220273

0

0.006745

0.057234

629

27

41

23.296296

0.858347

0.031797

0

1

0

true

0

0.380952

0

0.380952

0

null

1

0

null

0

1

0

1

0

5

40f30480446accbd944ba99a09ae7d743a27b5d0

1,088

py

Python

setup.py

lx183/ansible_remote_checks

d7012a1e4f1fdae52d05ca4a93f14f8947f20e25

[ "MIT" ]

null

setup.py

lx183/ansible_remote_checks

d7012a1e4f1fdae52d05ca4a93f14f8947f20e25

[ "MIT" ]

null

setup.py

lx183/ansible_remote_checks

d7012a1e4f1fdae52d05ca4a93f14f8947f20e25

[ "MIT" ]

1

2019-08-20T13:19:16.000Z

from setuptools import setup, find_packages setup( name='ansible_remote_checks', version='0.1.1', description='Library for Nagios checks on linux systems', author='Alexander Lex, David Voit, Christian Zuegner', author_email='Alexander.Lex@osram-os.com, David.Voit@osram-os.com, Christian.Zuegner@osram-os.com', classifiers=[ 'Development Status :: 4 - Beta', 'Intended Audience :: Developers', 'Topic :: System :: Monitoring', 'Programming Language :: Python :: 2', ], install_requires=[ 'ansible' 'argparse', ], packages=find_packages('src'), package_dir={'':'src'}, scripts=[ 'nagios_checks/check_cpu_ansible', 'nagios_checks/check_file_ansible', 'nagios_checks/check_fs_ansible', 'nagios_checks/check_memory_ansible', 'nagios_checks/check_service_ansible', 'nagios_checks/check_update_ansible', 'nagios_checks/check_swap_ansible', 'nagios_checks/check_load_ansible', 'nagios_checks/check_sg_ansible', 'nagios_checks/check_process_ansible', 'nagios_checks/check_directory_ansible' ] )

27.2

101

0.716912

129

1,088

5.736434

0.503876

0.194595

0.252703

0.324324

0

0.005435

0.154412

1,088

39

102

27.897436

0.798913

0

0.060606

0

0.030303

0.646734

0.426863

0

1

0

true

0

0.030303

0

0.030303

0

null

0

1

0

1

null

0

1

0

5

40f7c8c96f55523f0e9f806e889bed6c8e7c5b91

38

py

Python

django_task/exceptions.py

morlandi/django-task

19c00fd2f73e60c0c11a33fe195546f567f29361

[ "MIT" ]

46

2017-11-02T22:23:14.000Z

2022-02-16T11:56:58.000Z

django_task/exceptions.py

morlandi/django-task

19c00fd2f73e60c0c11a33fe195546f567f29361

[ "MIT" ]

10

2018-08-28T06:56:14.000Z

2021-12-27T17:49:30.000Z

django_task/exceptions.py

morlandi/django-task

19c00fd2f73e60c0c11a33fe195546f567f29361

[ "MIT" ]

6

2018-02-01T12:26:02.000Z

2021-09-07T11:13:04.000Z

class TaskError(Exception): pass

9.5

27

0.710526

4

38

6.75

1

0

0.210526

38

3

28

12.666667

0.9

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

5

dc09496db3a8ef7298cfb5618a32c0d969f4dcb8

117

py

Python

codigos/Cap02/exemplo002.py

skunkworksdev/Ifes_Algoritmo

458ef73a304573c12b45d8afae38e13ae0f3354f

[ "MIT" ]

null

codigos/Cap02/exemplo002.py

skunkworksdev/Ifes_Algoritmo

458ef73a304573c12b45d8afae38e13ae0f3354f

[ "MIT" ]

null

codigos/Cap02/exemplo002.py

skunkworksdev/Ifes_Algoritmo

458ef73a304573c12b45d8afae38e13ae0f3354f

[ "MIT" ]

null

# negativadade da decisão # if(False): # print('aula de algoritmos') a = 2 if(a == 1): print('aula de algoritmos')

14.625

29

0.649573

18

117

4.222222

0.666667

0.236842

0.289474

0.552632

0

0.020833

0.179487

117

8

30

14.625

0.770833

0.529915

0

0.346154

0

1

0

false

0

0.333333

1

0

null

1

0

1

0

null

0

5

dc0c6c141e5d9e31cb0c360f6e59c2fe803f3cc6

69

py

Python

arushi_gupta_101703106_outlier/__init__.py

Arushi872/arushi_gupta_101703106_outlier

220abaeeeb2cc2bcdae27a7921160a002b89560d

[ "MIT" ]

null

arushi_gupta_101703106_outlier/__init__.py

Arushi872/arushi_gupta_101703106_outlier

220abaeeeb2cc2bcdae27a7921160a002b89560d

[ "MIT" ]

null

arushi_gupta_101703106_outlier/__init__.py

Arushi872/arushi_gupta_101703106_outlier

220abaeeeb2cc2bcdae27a7921160a002b89560d

[ "MIT" ]

null

from arushi_gupta_101703106_outlier.outlier_cmd import outlier_remove

69

0.942029

10

69

6

0.8

0

0.136364

0.043478

69

1

69

0.772727

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

dc19b3dab6e5c6452d6ab19cc1149d9c7f1afa97

2,338

py

Python

tests/test_document_mapping.py

Alzpeta/oarepo-documents

e3dc85fad7a2d03d13d9d3a902faebb21bae3522

[ "MIT" ]

null

tests/test_document_mapping.py

Alzpeta/oarepo-documents

e3dc85fad7a2d03d13d9d3a902faebb21bae3522

[ "MIT" ]

3

2021-01-19T12:59:37.000Z

2021-03-19T20:52:04.000Z

tests/test_document_mapping.py

Alzpeta/oarepo-documents

e3dc85fad7a2d03d13d9d3a902faebb21bae3522

[ "MIT" ]

5

2020-10-24T16:04:25.000Z

2020-10-28T10:42:23.000Z

from oarepo_documents.document_json_mapping import schema_mapping def test_createRecord(app, db, client): existing_document = {"keywords": ["X", "yy", "kchchch", "K", "J", "x", "xxx", "xxxxxx"], "titles": ["Nějaká úžasná česká věta"]} data = schema_mapping(existing_document, 'doi') assert data == {'alternative_identifiers': [{'scheme': 'DOI', 'value': 'doi'}], 'authors': [{'full_name': 'Various authors'}], 'keywords': [{'value': 'X yy kchchch'}, {'value': 'K'}, {'value': 'J x xxx xxxxxx'}], 'document_type': 'unknown', 'publication_year': 'unknown', 'title': {"cs": "Nějaká úžasná česká věta"}} existing_document = {"titles": "Willst du bis der Tod euch scheidet treu ihr sein für alle Tage? Nein!", "authors": [{"given": "givenname", "family": "familyname"}, {"given": "givenname1", "family": "familyname2"}]} data = schema_mapping(existing_document, 'doi') assert data == {'alternative_identifiers': [{'scheme': 'DOI', 'value': 'doi'}], 'authors': [{'full_name': 'givenname familyname'}, {'full_name': 'givenname1 familyname2'}], 'document_type': 'unknown', 'publication_year': 'unknown', 'title': {"de": "Willst du bis der Tod euch scheidet treu ihr sein für alle Tage? Nein!"} } existing_document = {"titles": "Willst du bis der Tod euch scheidet treu ihr sein für alle Tage? Nein!", "authors": [{"given": "givenname", "family": "familyname"}, {"given": "givenname1", "family": "familyname2"}]} data = schema_mapping(existing_document, 'doi') assert data == {'alternative_identifiers': [{'scheme': 'DOI', 'value': 'doi'}], 'authors': [{'full_name': 'givenname familyname'}, {'full_name': 'givenname1 familyname2'}], 'document_type': 'unknown', 'publication_year': 'unknown', 'title': {"de": "Willst du bis der Tod euch scheidet treu ihr sein für alle Tage? Nein!"} }

64.944444

135

0.517536

216

2,338

5.472222

0.305556

0.081218

0.037225

0.047377

0.795262

0.756345

0

0.005057

0.323353

2,338

36

136

64.944444

0.742099

0

0.606061

0

0.430953

0.0295

0

0.090909

1

0.030303

false

0

0.030303

0

0.060606

0

null

0

1

0

null

0

5

90585d0503a29d9cbc3d2dda68759a6053ff0f95

3,168

py

Python

SpectMHC_main.py

Prathyusha-konda/netMHC_DB_scripts

f9c87e00dc0848644993d8671d72078b165c4955

[ "MIT" ]

2

2016-10-24T19:18:42.000Z

2018-09-14T07:54:23.000Z

SpectMHC_main.py

Prathyusha-konda/SpectMHC

f9c87e00dc0848644993d8671d72078b165c4955

[ "MIT" ]

null

SpectMHC_main.py

Prathyusha-konda/SpectMHC

f9c87e00dc0848644993d8671d72078b165c4955

[ "MIT" ]

null

import SpectMHC_methods if SpectMHC_methods.install_check("verify") in 'yes': print "\nOk, Let's move ahead" version = SpectMHC_methods.version("verify version") split_output=raw_input("\nDo you want to split your parent file? yes or no [not mandatory, please read instructions]: ") if split_output in 'yes': split_list=SpectMHC_methods.split_files("split") check1 = raw_input("\nDo you want to save your splitfiles after we complete the execution? yes or no: ") check2 = raw_input("\nDo you want the output in fasta format? note: this includes processing after netMHC output, yes or no: ") if check2 in 'yes': if version in '3.4': cut_off=float(raw_input("\nWhat is the binding affinity cut_off you are interested in? netmhc suggests 50 for strong binders and 500 for weak binders: ")) else: cut_off=float(raw_input("\nWhat is the cut_off Rank you are interested in? netMHC suggests cutoff rank of 0.5 for strong binders and 2 for weak binders: ")) check3 = raw_input("\nDo you want to save your raw netMHC output files along with the fasta output? yes or no: ") outfile_list=SpectMHC_methods.executemhc(version, split_list) print "\nWait while your data is processed into fasta format..." if check1 in 'no': SpectMHC_methods.del_temp_files(split_list) elif check1 in 'yes': print "\nSplit files are saved to your computer..." if check2 in 'yes': SpectMHC_methods.process_data(version, outfile_list, cut_off) if check3 in 'yes': print "\nThe execution is complete. Check your output files in the folder..." elif check3 in 'no': SpectMHC_methods.del_temp_files(outfile_list) elif check2 in 'no': SpectMHC_methods.executemhc(version, split_list) if check1 in 'no': SpectMHC_methods.del_temp_files(split_list) elif check1 in 'yes': print "\nSplit files are saved to your computer..." elif split_output in 'no': files = raw_input("\nPlease enter your file names, if you have multiple files, separate them by space. ex- 1.fsa 2.fsa 3.fsa: ") input_files = files.split() check2 = raw_input("\nDo you want the output in fasta format? yes or no: ") if check2 in 'yes': if version in '3.4': cut_off=float(raw_input("\nWhat is the binding affinity cut_off you are interested in? netmhc suggests 50 for strong binders and 500 for weak binders: ")) else: cut_off=float(raw_input("\nWhat is the cut_off Rank you are interested in? netMHC suggests cutoff rank of 0.5 for strong binders and 2 for weak binders : ")) check3 = raw_input("\nDo you want to save your raw netMHC output files along with the fasta output? yes or no: ") file_list=SpectMHC_methods.executemhc(version, input_files) print "\nWait while your data is processed into fasta format" if check2 in 'yes': SpectMHC_methods.process_data(version, file_list, cut_off) if check3 in 'yes': print "\nThe execution is complete. Check your output files in the folder." elif check3 in 'no': SpectMHC_methods.del_temp_files(file_list) elif check2 in 'no': SpectMHC_methods.executemhc(version, input_files)

40.615385

164

0.720328

499

3,168

4.44489

0.218437

0.09468

0.029757

0.037872

0.770063

0.766456

0.711452

0.698828

0.613165

0

0.016464

0.19476

3,168

77

165

41.142857

0.852999

0

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0

0.169811

0.492424

0

null

0

0.018868

null

0.132075

0

null

0

1

0

1

0

null

0

1

0

5

906efd1bdc48f1dbb44f2c428ffd7b3687d8407f

3,479

py

Python

july/tests.py

jesstess/julython.org

1c3044b1cca06cf47ab5a603b72533dd69fb094e

[ "MIT" ]

1

2020-08-11T02:42:45.000Z

july/tests.py

jesstess/julython.org

1c3044b1cca06cf47ab5a603b72533dd69fb094e

[ "MIT" ]

null

july/tests.py

jesstess/julython.org

1c3044b1cca06cf47ab5a603b72533dd69fb094e

[ "MIT" ]

null

import datetime import mock from django.test import TestCase class JulyViews(TestCase): def test_index(self): resp = self.client.get('/') self.assertEqual(resp.status_code, 200) def test_help(self): resp = self.client.get('/help/') self.assertEqual(resp.status_code, 200) def test_live(self): resp = self.client.get('/live/') self.assertEqual(resp.status_code, 200) def test_register_get(self): resp = self.client.get('/register/') self.assertEqual(resp.status_code, 200) def test_register_bad(self): resp = self.client.post('/register/', {'Bad': 'field'}) self.assertEqual(resp.status_code, 200) self.assertContains(resp, "This field is required.") def test_register_good(self): post = { 'username': 'fred', 'password1': 'secret', 'password2': 'secret' } resp = self.client.post('/register/', post) self.assertRedirects(resp, '/') class AbuseTests(TestCase): def test_set_abuse(self): from django.conf import settings settings.ABUSE_LIMIT = 3 # 3 times ! from middleware import AbuseMiddleware today = datetime.date.today() request = mock.MagicMock() request.session = {} mid = AbuseMiddleware() abuse_reported = mid._abuse_reported(request) can_report_abuse = mid._can_report_abuse(request) abuse_reported() # one self.assertEqual( request.session['abuse_date'], today - datetime.timedelta(days=2), ) self.assertTrue(can_report_abuse()) abuse_reported() # two self.assertEqual( request.session['abuse_date'], today - datetime.timedelta(days=1), ) self.assertTrue(can_report_abuse()) abuse_reported() # tree self.assertEqual( request.session['abuse_date'], today, ) self.assertFalse(can_report_abuse()) # game is over ! def test_reset_abuse(self): from django.conf import settings settings.ABUSE_LIMIT = 3 from middleware import AbuseMiddleware today = datetime.date.today() request = mock.MagicMock() request.session = {'abuse_date': today-datetime.timedelta(days=10)} mid = AbuseMiddleware() abuse_reported = mid._abuse_reported(request) can_report_abuse = mid._can_report_abuse(request) abuse_reported() # if abuse_date is old enugh it should be reseted self.assertEqual( request.session['abuse_date'], today - datetime.timedelta(days=2), ) self.assertTrue(can_report_abuse()) request.session = {'abuse_date': today-datetime.timedelta(days=3)} abuse_reported() self.assertEqual( request.session['abuse_date'], today - datetime.timedelta(days=2), ) self.assertTrue(can_report_abuse()) request.session = {'abuse_date': today-datetime.timedelta(days=2)} abuse_reported() self.assertEqual( request.session['abuse_date'], today - datetime.timedelta(days=1), ) self.assertTrue(can_report_abuse()) abuse_reported() self.assertEqual( request.session['abuse_date'], today, ) self.assertFalse(can_report_abuse())

28.991667

75

0.602759

368

3,479

5.513587

0.203804

0.088714

0.075899

0.113356

0.814194

0.747166

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0.724988

0.669295

0.622474

0

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0.285139

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src/DCGMM/experiment/__init__.py

anon-scientist/dcgmm

1d2d96d1d9811c387ee11d462ff0a3819a66e137

[ "Apache-2.0", "MIT" ]

null

src/DCGMM/experiment/__init__.py

anon-scientist/dcgmm

1d2d96d1d9811c387ee11d462ff0a3819a66e137

[ "Apache-2.0", "MIT" ]

null

src/DCGMM/experiment/__init__.py

anon-scientist/dcgmm

1d2d96d1d9811c387ee11d462ff0a3819a66e137

[ "Apache-2.0", "MIT" ]

null

## only executable python files here. Invoke with python3 -m experiment.Experiment_GMM <args..> from .Experiment import Experiment from .Experiment_GMM import Experiment_GMM

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Python

configs/deeplabv3/deeplabv3_r50-d8_512x1024_80k_karibuilding.py

ldg810/mmsegmentation-karibuilding

6fb7523d96b9cb78c8bbcd03038ef7cc19abd307

[ "Apache-2.0" ]

1

2022-01-26T12:48:02.000Z

configs/deeplabv3/deeplabv3_r50-d8_512x1024_80k_karibuilding.py

ldg810/mmsegmentation-karibuilding

6fb7523d96b9cb78c8bbcd03038ef7cc19abd307

[ "Apache-2.0" ]

null

configs/deeplabv3/deeplabv3_r50-d8_512x1024_80k_karibuilding.py

ldg810/mmsegmentation-karibuilding

6fb7523d96b9cb78c8bbcd03038ef7cc19abd307

[ "Apache-2.0" ]

1

2022-02-07T07:09:12.000Z

_base_ = [ '../_base_/models/deeplabv3_r50-d8-karibuilding.py', '../_base_/datasets/karibuilding.py', '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' ]

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Python

smook/src/main/resources/__run__.py

zlatozar/coding-sessions

1f59b2b04dee2116cc9baeae744bd4322fc789ad

[ "BSD-3-Clause" ]

null

smook/src/main/resources/__run__.py

zlatozar/coding-sessions

1f59b2b04dee2116cc9baeae744bd4322fc789ad

[ "BSD-3-Clause" ]

null

smook/src/main/resources/__run__.py

zlatozar/coding-sessions

1f59b2b04dee2116cc9baeae744bd4322fc789ad

[ "BSD-3-Clause" ]

null

import examples examples.main()

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py

Python

ex027.py

ranierelm/Python_exercise

db143d2dc019bbd479397dc64efbe4fe0aa1abab

[ "MIT" ]

null

ex027.py

ranierelm/Python_exercise

db143d2dc019bbd479397dc64efbe4fe0aa1abab

[ "MIT" ]

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ex027.py

ranierelm/Python_exercise

db143d2dc019bbd479397dc64efbe4fe0aa1abab

[ "MIT" ]

null

nome = str(input('Digite seu nome completo: ')).strip() print('Primeiro nome: {}'.format(nome.split()[0])) ultimo = nome.count(' ') print('Último nome: {}'.format(nome.split()[ultimo]))

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Python

metaworkflow/main.py

shteou/kp

b51d485edf5719aaf68bd24cb53cf7302894355d

[ "MIT" ]

null

metaworkflow/main.py

shteou/kp

b51d485edf5719aaf68bd24cb53cf7302894355d

[ "MIT" ]

null

metaworkflow/main.py

shteou/kp

b51d485edf5719aaf68bd24cb53cf7302894355d

[ "MIT" ]

null

#!/usr/bin/env python import metaworkflow.webhooks if __name__ == "__main__": metaworkflow.webhooks.start_server()

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py

Python

proxy2/__main__.py

cleberzavadniak/proxy2-original

728a115421ae695a2c75194a7404fadd704e02c7

[ "BSD-3-Clause" ]

null

proxy2/__main__.py

cleberzavadniak/proxy2-original

728a115421ae695a2c75194a7404fadd704e02c7

[ "BSD-3-Clause" ]

null

proxy2/__main__.py

cleberzavadniak/proxy2-original

728a115421ae695a2c75194a7404fadd704e02c7

[ "BSD-3-Clause" ]

null

#!env python2 from . import http_proxy http_proxy.run()

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Python

external/model-preparation-algorithm/mpa_tasks/apis/__init__.py

opencv/openvino_training_extensions

f5d809741e192a2345558efc75899a475019cf98

[ "Apache-2.0" ]

775

2019-03-01T02:13:33.000Z

2020-09-07T22:49:15.000Z

external/model-preparation-algorithm/mpa_tasks/apis/__init__.py

opencv/openvino_training_extensions

f5d809741e192a2345558efc75899a475019cf98

[ "Apache-2.0" ]

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2019-02-28T21:37:08.000Z

2020-09-07T15:11:49.000Z

external/model-preparation-algorithm/mpa_tasks/apis/__init__.py

opencv/openvino_training_extensions

f5d809741e192a2345558efc75899a475019cf98

[ "Apache-2.0" ]

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2019-02-28T20:32:11.000Z

2020-09-07T05:51:41.000Z

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py

Python

experiments/experiments_gdsc/convergence/nmf_icm.py

ThomasBrouwer/BNMTF

34df0c3cebc5e67a5e39762b9305b75d73a2a0e0

[ "Apache-2.0" ]

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2017-04-19T12:04:47.000Z

2021-12-03T00:50:43.000Z

experiments/experiments_gdsc/convergence/nmf_icm.py

ThomasBrouwer/BNMTF

34df0c3cebc5e67a5e39762b9305b75d73a2a0e0

[ "Apache-2.0" ]

1

2017-04-20T11:26:16.000Z

experiments/experiments_gdsc/convergence/nmf_icm.py

ThomasBrouwer/BNMTF

34df0c3cebc5e67a5e39762b9305b75d73a2a0e0

[ "Apache-2.0" ]

8

2015-12-15T05:29:43.000Z

2019-06-05T03:14:11.000Z

""" Run NMF ICM on the Sanger dataset. We can plot the MSE, R2 and Rp as it converges, on the entire dataset. We give flat priors (1/10). """ import sys, os project_location = os.path.dirname(__file__)+"/../../../../" sys.path.append(project_location) from BNMTF.code.models.nmf_icm import nmf_icm from BNMTF.data_drug_sensitivity.gdsc.load_data import load_gdsc import numpy, matplotlib.pyplot as plt ########## standardised = False #standardised Sanger or unstandardised iterations = 1000 init_UV = 'random' I, J, K = 622,138,25 minimum_TN = 0.1 alpha, beta = 1., 1. #1., 1. lambdaU = numpy.ones((I,K))/10. lambdaV = numpy.ones((J,K))/10. priors = { 'alpha':alpha, 'beta':beta, 'lambdaU':lambdaU, 'lambdaV':lambdaV } # Load in data (_,R,M,_,_,_,_) = load_gdsc(standardised=standardised) # Run the VB algorithm NMF = nmf_icm(R,M,K,priors) NMF.initialise(init_UV) NMF.run(iterations,minimum_TN=minimum_TN) # Extract the performances across all iterations print "icm_all_performances = %s" % NMF.all_performances ''' icm_all_performances = {'R^2': [-134.4795537271895, -1.552667222593644, 0.7275416432525234, 0.758957405027868, 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0.95924118898677513, 0.95924185009188068, 0.95924251012867934, 0.95924316910495344, 0.95924382702700151, 0.95924448386116179]} ''' # Plot the MSE values plt.figure() plt.plot(NMF.all_performances['MSE']) plt.ylim(0,10)

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d3f9ed09ec808d9b401b39bbc65e65acef753e60

451

py

Python

python-acoustics/tests/test_decibel.py

chipmuenk/acoustics

c85ac95a10c09d7fa15d63b2bdb24acab89fec60

[ "MIT" ]

1

2019-03-28T12:46:26.000Z

python-acoustics/tests/test_decibel.py

chipmuenk/acoustics

c85ac95a10c09d7fa15d63b2bdb24acab89fec60

[ "MIT" ]

null

python-acoustics/tests/test_decibel.py

chipmuenk/acoustics

c85ac95a10c09d7fa15d63b2bdb24acab89fec60

[ "MIT" ]

2

2017-08-25T22:12:17.000Z

2021-09-12T09:50:02.000Z

from acoustics.decibel import * def test_dbsum(): assert(abs(dbsum([10.0, 10.0]) - 13.0103) < 1e-5) def test_dbmean(): assert(dbmean([10.0, 10.0]) == 10.0) def test_dbadd(): assert(abs(dbadd(10.0, 10.0) - 13.0103) < 1e-5) def test_dbsub(): assert(abs(dbsub(13.0103, 10.0) - 10.0) < 1e-5) def test_dbmul(): assert(abs(dbmul(10.0, 2) - 13.0103) < 1e-5) def test_dbdiv(): assert(abs(dbdiv(13.0103, 2) - 10.0) < 1e-5)

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d3ff3d9a488f13b0dd951d12d50cd2b5a3a4d912

453

py

Python

qiling/qiling/os/posix/syscall/ptrace.py

mrTavas/owasp-fstm-auto

6e9ff36e46d885701c7419db3eca15f12063a7f3

[ "CC0-1.0" ]

2

2021-05-05T12:03:01.000Z

2021-06-04T14:27:15.000Z

qiling/qiling/os/posix/syscall/ptrace.py

mrTavas/owasp-fstm-auto

6e9ff36e46d885701c7419db3eca15f12063a7f3

[ "CC0-1.0" ]

null

qiling/qiling/os/posix/syscall/ptrace.py

mrTavas/owasp-fstm-auto

6e9ff36e46d885701c7419db3eca15f12063a7f3

[ "CC0-1.0" ]

2

2021-05-05T12:03:09.000Z

2021-06-04T14:27:21.000Z

#!/usr/bin/env python3 # # Cross Platform and Multi Architecture Advanced Binary Emulation Framework # from qiling.const import * from qiling.os.linux.thread import * from qiling.const import * from qiling.os.posix.filestruct import * from qiling.os.filestruct import * from qiling.os.posix.const_mapping import * from qiling.exception import * def ql_syscall_ptrace(ql, request, pid, addr, data, *args, **kw): regreturn = 0 return regreturn

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null

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312a4a6e36355937b26c0931cb3bd6ddf1f198fa

165

py

Python

src/encoder.py

ralphtatt-IW/BrIW

c7ffd83ba78c8ab07bbb09ded291033f784e3751

[ "MIT" ]

null

src/encoder.py

ralphtatt-IW/BrIW

c7ffd83ba78c8ab07bbb09ded291033f784e3751

[ "MIT" ]

null

src/encoder.py

ralphtatt-IW/BrIW

c7ffd83ba78c8ab07bbb09ded291033f784e3751

[ "MIT" ]

3

2019-09-18T10:44:13.000Z

2019-10-17T19:58:52.000Z

import classes from json import JSONEncoder class MyEncoder(JSONEncoder): def default(self, obj): return obj.__dict__ def drink_decoder(obj): pass

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null

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1

0

1

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5

31420a5fd6016066f6e06834b82458c235829c75

45

py

Python

home/hairygael/GESTURES/headdown.py

rv8flyboy/pyrobotlab

4e04fb751614a5cb6044ea15dcfcf885db8be65a

[ "Apache-2.0" ]

63

2015-02-03T18:49:43.000Z

2022-03-29T03:52:24.000Z

home/hairygael/GESTURES/headdown.py

hirwaHenryChristian/pyrobotlab

2debb381fc2db4be1e7ea6e5252a50ae0de6f4a9

[ "Apache-2.0" ]

16

2016-01-26T19:13:29.000Z

2018-11-25T21:20:51.000Z

home/hairygael/GESTURES/headdown.py

hirwaHenryChristian/pyrobotlab

2debb381fc2db4be1e7ea6e5252a50ae0de6f4a9

[ "Apache-2.0" ]

151

2015-01-03T18:55:54.000Z

2022-03-04T07:04:23.000Z

def headdown(): i01.head.neck.moveTo(0)

11.25

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0.177778

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1

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null

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1

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5

31562706fb190b50879d2fb5c3d516fb787f67f8

1,898

py

Python

user_database.py

poudelroshan/BOTVID-19

810fb9a97ddb854270e3fc1ec1e4c74ddf4d2aa4

[ "MIT" ]

23

2020-04-27T03:43:39.000Z

2020-08-31T16:11:51.000Z

user_database.py

laranea/BOTVID-19

d7b87fd2bec7e82863a4a3fde63bb2262ba6a120

[ "MIT" ]

null

user_database.py

laranea/BOTVID-19

d7b87fd2bec7e82863a4a3fde63bb2262ba6a120

[ "MIT" ]

10

2020-04-27T10:35:10.000Z

2020-08-12T15:57:17.000Z

import authenticate ''' #ONLY USE FOR THE FIRST TIME TO CREATE THE TABLE connection = authenticate.connection connection.ping(reconnect=True) cursor = connection.cursor() cursor.execute("""CREATE TABLE users(user_id BigInt)""") connection.commit() ''' def add_user(user_id): connection = authenticate.connection connection.ping(reconnect=True) cursor = connection.cursor() print("The following user id is being added") cursor.execute("INSERT INTO users VALUES (%s)", (user_id,)) connection.commit() cursor.close() connection.close() print("User ", user_id, " Added to Database") def remove_user(user__id): connection = authenticate.connection connection.ping(reconnect=True) cursor = connection.cursor() cursor.execute("DELETE FROM users WHERE user_id = %s", (user__id,)) connection.commit() cursor.close() connection.close() print("User ", user__id, " Removed from Database") def is_user_subscribed(user__id): connection = authenticate.connection connection.ping(reconnect=True) cursor = connection.cursor() cursor.execute("SELECT * FROM users WHERE user_id= %s", (user__id,)) users = cursor.fetchall() cursor.close() connection.close() return len(users) != 0 def get_total_users(): connection = authenticate.connection connection.ping(reconnect=True) cursor = connection.cursor() cursor.execute("SELECT * FROM users") users = cursor.fetchall() cursor.close() connection.close() return len(users) def get_users(): connection = authenticate.connection connection.ping(reconnect=True) cursor = connection.cursor() cursor.execute("SELECT user_id FROM users") user_ids = cursor.fetchall() cursor.close() connection.close() return [x[0] for x in user_ids]

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null

0

5

31badab1c3f7c1ef2cb953ce0d9d2eea803ed448

150

py

Python

Python Basics/5. While Loop/02. Password.py

a-shiro/SoftUni-Courses

7d0ca6401017a28b5ff7e7fa3e5df8bba8ddbe77

[ "MIT" ]

null

Python Basics/5. While Loop/02. Password.py

a-shiro/SoftUni-Courses

7d0ca6401017a28b5ff7e7fa3e5df8bba8ddbe77

[ "MIT" ]

null

Python Basics/5. While Loop/02. Password.py

a-shiro/SoftUni-Courses

7d0ca6401017a28b5ff7e7fa3e5df8bba8ddbe77

[ "MIT" ]

null

name = input() password = input() input_password = input() while input_password != password: input_password = input() print(f"Welcome {name}!")

16.666667

33

0.693333

18

150

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0.514851

0.534653

0

0.16

150

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null

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5

31c16aeccf9f9bb1c6a0af2bdcf8f91b42ce3ce6

199

py

Python

utils/_xjson.py

kollad/turbo-ninja

9c3f66b2af64aec01f522d19b309cfdd723e67cf

[ "MIT" ]

null

utils/_xjson.py

kollad/turbo-ninja

9c3f66b2af64aec01f522d19b309cfdd723e67cf

[ "MIT" ]

1

2017-12-14T05:35:38.000Z

utils/_xjson.py

kollad/turbo-ninja

9c3f66b2af64aec01f522d19b309cfdd723e67cf

[ "MIT" ]

null

from zlib import compress, decompress from json import dumps as _dumps from json import loads as _loads def dumps(s): return compress(_dumps(s)) def loads(s): return _loads(decompress(s))

18.090909

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9ef0857f8c57f77420f6825427c2f31f7cd405ea

212

py

Python

protonfixes/gamefixes/445310.py

Coolthulhu/protonfixes

a7dc52727ac2737cb17f739e0123df9b1b4c49d1

[ "BSD-2-Clause" ]

213

2018-10-06T01:40:26.000Z

2022-03-16T16:17:37.000Z

protonfixes/gamefixes/445310.py

Coolthulhu/protonfixes

a7dc52727ac2737cb17f739e0123df9b1b4c49d1

[ "BSD-2-Clause" ]

88

2018-10-06T17:38:56.000Z

2022-02-19T13:27:26.000Z

protonfixes/gamefixes/445310.py

Coolthulhu/protonfixes

a7dc52727ac2737cb17f739e0123df9b1b4c49d1

[ "BSD-2-Clause" ]

67

2018-10-09T16:57:16.000Z

2022-03-14T13:06:25.000Z

""" Game fix for Might & Magic: Heroes VII - Trial by Fire """ #pylint: disable=C0103 from protonfixes import util def main(): """ Install uplay """ # Install uplay util.protontricks('uplay')

15.142857

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null

0

null

0

1

0

1

0

1

0

5

9ef70d825ad647eac80227f8c6ded76a04686140

4,937

py

Python

wangzhansen/project/myplane/enemy.py

python20180319howmework/homework

c826d7aa4c52f8d22f739feb134d20f0b2c217cd

[ "Apache-2.0" ]

null

wangzhansen/project/myplane/enemy.py

python20180319howmework/homework

c826d7aa4c52f8d22f739feb134d20f0b2c217cd

[ "Apache-2.0" ]

null

wangzhansen/project/myplane/enemy.py

python20180319howmework/homework

c826d7aa4c52f8d22f739feb134d20f0b2c217cd

[ "Apache-2.0" ]

null

import pygame import random class SmallEnemy(pygame.sprite.Sprite): def __init__(self, bg_size): pygame.sprite.Sprite.__init__(self) # 小敌机图片--->Surface self.image = pygame.image.load("./images/enemy1.png").convert_alpha() self.rect = self.image.get_rect() # 撞击图片 self.destroy_image = [pygame.image.load("./images/enemy1_down1.png").convert_alpha(), \ pygame.image.load("./images/enemy1_down2.png").convert_alpha(), \ pygame.image.load("./images/enemy1_down3.png").convert_alpha(), \ pygame.image.load("./images/enemy1_down4.png").convert_alpha()] # 背景的宽度, 高度 self.width = bg_size.width self.height = bg_size.height # 位置 self.rect.left, self.rect.top = (random.randint(0, self.width-self.rect.width),\ random.randint(-5*self.height, 0)) # 速度 self.speed = 2 # 非透明区 self.mask = pygame.mask.from_surface(self.image) # 状态 self.alive = True # 移动 def move(self): if self.rect.top >= self.height-self.rect.height-50: self.reset() else: self.rect.top += self.speed def reset(self): self.alive = True self.rect.left, self.rect.top = (random.randint(0, self.width - self.rect.width), \ random.randint(-5 * self.height, 0)) class MidEnemy(pygame.sprite.Sprite): energy = 10 def __init__(self, bg_size): pygame.sprite.Sprite.__init__(self) # 小敌机图片--->Surface self.image = pygame.image.load("./images/enemy2.png") self.rect = self.image.get_rect() # 撞击图片 self.destroy_image = [pygame.image.load("./images/enemy2_down1.png").convert_alpha(), \ pygame.image.load("./images/enemy2_down2.png").convert_alpha(), \ pygame.image.load("./images/enemy2_down3.png").convert_alpha(), \ pygame.image.load("./images/enemy2_down4.png").convert_alpha()] # 背景的宽度, 高度 self.width = bg_size.width self.height = bg_size.height # 实例能量 self.energy = MidEnemy.energy # 位置 self.rect.left, self.rect.top = (random.randint(0, self.width-self.rect.width),\ random.randint(-10*self.height, -5 * self.height)) # 速度 self.speed = 1 # 非透明区 self.mask = pygame.mask.from_surface(self.image) # 状态 self.alive = True # 移动 def move(self): if self.rect.top >= self.height-self.rect.height-50: self.reset() else: self.rect.top += self.speed def reset(self): self.alive = True self.rect.left, self.rect.top = (random.randint(0, self.width - self.rect.width), \ random.randint(-10 * self.height, -5 * self.height)) self.energy = MidEnemy.energy class BigEnemy(pygame.sprite.Sprite): energy = 20 def __init__(self, bg_size): pygame.sprite.Sprite.__init__(self) # 小敌机图片--->Surface self.image1 = pygame.image.load("./images/enemy3_n1.png") self.image2 = pygame.image.load("./images/enemy3_n2.png") self.rect = self.image1.get_rect() # 撞击图片 self.destroy_image = [pygame.image.load("./images/enemy3_down1.png").convert_alpha(), \ pygame.image.load("./images/enemy3_down2.png").convert_alpha(), \ pygame.image.load("./images/enemy3_down3.png").convert_alpha(), \ pygame.image.load("./images/enemy3_down4.png").convert_alpha(), \ pygame.image.load("./images/enemy3_down5.png").convert_alpha(), \ pygame.image.load("./images/enemy3_down6.png").convert_alpha(),] # 背景的宽度, 高度 self.width = bg_size.width self.height = bg_size.height self.energy = BigEnemy.energy # 位置 self.rect.left, self.rect.top = (random.randint(0, self.width - self.rect.width), \ random.randint(-15 * self.height, -10*self.height)) # 速度 self.speed = 1 # 非透明区 self.mask = pygame.mask.from_surface(self.image1) # 状态 self.alive = True # 移动 def move(self): if self.rect.top >= self.height - self.rect.height - 50: self.reset() else: self.rect.top += self.speed def reset(self): self.alive = True self.rect.left, self.rect.top = (random.randint(0, self.width - self.rect.width), \ random.randint(-15 * self.height, -10*self.height)) self.energy = BigEnemy.energy

38.874016

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0.542637

570

4,937

4.57193

0.121053

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0.103607

0.14505

0.894091

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0.845741

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0

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4,937

126

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null

0

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1

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null

0

5

73075aad0f3af2d48d6ed7df0e179d538f0d6374

115

py

Python

resonances/__main__.py

apetrov/resonances

50be33536965e6a78371282a2d1803c53f11d112

[ "MIT" ]

4

2015-11-04T11:23:00.000Z

2021-08-04T20:27:42.000Z

resonances/__main__.py

apetrov/resonances

50be33536965e6a78371282a2d1803c53f11d112

[ "MIT" ]

1

2021-08-04T20:57:22.000Z

2021-08-07T09:17:14.000Z

resonances/__main__.py

apetrov/resonances

50be33536965e6a78371282a2d1803c53f11d112

[ "MIT" ]

1

2021-08-04T20:49:16.000Z

if __name__ == '__main__': print('You have installed the resonances package. Check please the documentation!')

38.333333

87

0.747826

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115

5.571429

0.928571

0

0.156522

115

2

88

57.5

0.804124

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0.713043

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1

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true

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0.5

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1

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null

0

1

0

1

0

5

7310326f933d7ed0810e171256df11a86c8241e6

12,026

py

Python

App.py

The-Osk/Fetal_Health_classification

66e872862ef42f2a179cb502adc64984110d9500

[ "MIT" ]

null

App.py

The-Osk/Fetal_Health_classification

66e872862ef42f2a179cb502adc64984110d9500

[ "MIT" ]

null

App.py

The-Osk/Fetal_Health_classification

66e872862ef42f2a179cb502adc64984110d9500

[ "MIT" ]

null

from logging import log from os import write from joblib import dump, load import pandas as pd import numpy as np from scipy.sparse import data import streamlit as st from sklearn.metrics import precision_score, recall_score, confusion_matrix, classification_report, accuracy_score, f1_score from sklearn.preprocessing import StandardScaler scaler = StandardScaler() testSet = pd.read_csv("TestSet.csv") testSet = testSet.drop(["fetal_health"], axis = 1) clf = load('VCHard_model.joblib') user_inputs = {} zeroValue = 0.00 cases = {1: "Normal" , 2: "Suspect", 3: "Pathological"} class Doctor: def __init__(self): patient_id = st.number_input("patient ID: ", min_value=0, step = 1) if st.button('Show & Predict'): if testSet.loc[0].size > patient_id: patientSearchedFor = testSet.loc[patient_id] st.write(patientSearchedFor) col_names = list(patientSearchedFor) X_df = scaler.fit_transform([patientSearchedFor]) X_df = pd.DataFrame(X_df, columns = col_names) y = clf.predict(X_df) st.write(f'The patient is {cases[y[0]]}') col1, col2= st.beta_columns(2) with col1: if st.button('Agree with the result'): st.write("Databases Has been updated") with col2: if st.button('Disagree with the result'): st.write("Databases Has been updated") else: st.write("Wrong patient ID") class DataEntry: def __init__(self): user_inputs = {} st.write("Enter the patient Data: ") st.number_input("Patient ID: ", min_value=0, step = 1) col1, col2, col3= st.beta_columns(3) with col1: user_inputs["baseline value"] = [st.number_input("baseline value: ", min_value=0, step = 1)] user_inputs["accelerations"] = [st.number_input("accelerations: ", min_value=0.000, step = 0.001, format= "%.3f") ] user_inputs["fetal_movement"] = [st.number_input("fetal_movement: ", min_value=0.000, step = 0.001, format= "%.3f")] user_inputs["uterine_contractions"] = [st.number_input("uterine_contractions: ", min_value=0.000, step = 0.001, format= "%.3f")] user_inputs["light_decelerations"] = [st.number_input("light_decelerations: ", min_value=0.0000, step = 0.001, format= "%.3f")] user_inputs["severe_decelerations"] = [st.number_input("severe_decelerations: ", min_value=0.000, step = 0.01)] user_inputs["prolongued_decelerations"] = [st.number_input("prolongued_decelerations: ", min_value=0.000, step = 0.001, format= "%.3f")] with col2: user_inputs["abnormal_short_term_variability"] = [st.number_input("abnormal_short_term_variability: ", min_value=0, step = 1)] user_inputs["mean_value_of_short_term_variability"] = [st.number_input("mean_value_of_short_term_variability: ", min_value=0.0, step = 0.1, format= "%.1f")] user_inputs["percentage_of_time_with_abnormal_long_term_variability"] = [st.number_input("percentage_of_time_with_abnormal_long_term_variability: ", min_value=0, step = 1)] user_inputs["mean_value_of_long_term_variability"] = [st.number_input("mean_value_of_long_term_variability: ", min_value=0.0, step = 0.1, format= "%.1f")] user_inputs["histogram_width"] = [st.number_input("histogram_width: ", min_value=0, step = 1)] user_inputs["histogram_min"] = [st.number_input("histogram_min: ", min_value=0, step = 1)] user_inputs["histogram_max"] = [st.number_input("histogram_max: ", min_value=0, step = 1)] with col3: user_inputs["histogram_number_of_peaks"] = [st.number_input("histogram_number_of_peaks: ", min_value=0, step = 1)] user_inputs["histogram_number_of_zeroes"] = [st.number_input("histogram_number_of_zeroes: ", min_value=0, step = 1)] user_inputs["histogram_mode"] = [st.number_input("histogram_mode: ", min_value=0, step = 1)] user_inputs["histogram_mean"] =[ st.number_input("histogram_mean: ", min_value=0, step = 1)] user_inputs["histogram_median"] = [st.number_input("histogram_median: ", min_value=0, step = 1)] user_inputs["histogram_variance"] = [st.number_input("histogram_variance: ", min_value=0, step = 1)] user_inputs["histogram_tendency"] = [st.number_input("histogram_tendency: ", min_value=0, step = 1)] if st.button("Save Data"): st.write("Patient Data Saved") class DataScientist: def __init__(self): operation = st.radio("Operation ", ("Enter Data", "Review Data")) if operation == "Enter Data": dataSource = st.radio("How are you entering the data: ", ("From a CSV file", "Enter manually")) if dataSource == "From a CSV file": CSVfile = st.file_uploader("Upload data file", type=None, accept_multiple_files=False, key=None, help=None) if CSVfile: df = pd.read_csv(CSVfile) y = df['fetal_health'] df = df.drop(["fetal_health"], axis = 1) st.write(df) col_names = list(df) X_df = scaler.fit_transform(df) X_df = pd.DataFrame(X_df, columns = col_names) y = clf.predict(X_df) if st.button('Predict CSV'): predictionY = clf.predict(X_df) acc =accuracy_score(y, predictionY) #st.write(acc) for i,j in enumerate(y): st.write(f'Patient {i} is {cases[y[i]]}') else: col1, col2, col3= st.beta_columns(3) with col1: user_inputs["baseline value"] = [st.number_input("baseline value: ", min_value=0, step = 1)] user_inputs["accelerations"] = [st.number_input("accelerations: ", min_value=0.000, step = 0.001, format= "%.3f") ] user_inputs["fetal_movement"] = [st.number_input("fetal_movement: ", min_value=0.000, step = 0.001, format= "%.3f")] user_inputs["uterine_contractions"] = [st.number_input("uterine_contractions: ", min_value=0.000, step = 0.001, format= "%.3f")] user_inputs["light_decelerations"] = [st.number_input("light_decelerations: ", min_value=0.0000, step = 0.001, format= "%.3f")] user_inputs["severe_decelerations"] = [st.number_input("severe_decelerations: ", min_value=0.000, step = 0.01)] user_inputs["prolongued_decelerations"] = [st.number_input("prolongued_decelerations: ", min_value=0.000, step = 0.001, format= "%.3f")] with col2: user_inputs["abnormal_short_term_variability"] = [st.number_input("abnormal_short_term_variability: ", min_value=0, step = 1)] user_inputs["mean_value_of_short_term_variability"] = [st.number_input("mean_value_of_short_term_variability: ", min_value=0.0, step = 0.1, format= "%.1f")] user_inputs["percentage_of_time_with_abnormal_long_term_variability"] = [st.number_input("percentage_of_time_with_abnormal_long_term_variability: ", min_value=0, step = 1)] user_inputs["mean_value_of_long_term_variability"] = [st.number_input("mean_value_of_long_term_variability: ", min_value=0.0, step = 0.1, format= "%.1f")] user_inputs["histogram_width"] = [st.number_input("histogram_width: ", min_value=0, step = 1)] user_inputs["histogram_min"] = [st.number_input("histogram_min: ", min_value=0, step = 1)] user_inputs["histogram_max"] = [st.number_input("histogram_max: ", min_value=0, step = 1)] with col3: user_inputs["histogram_number_of_peaks"] = [st.number_input("histogram_number_of_peaks: ", min_value=0, step = 1)] user_inputs["histogram_number_of_zeroes"] = [st.number_input("histogram_number_of_zeroes: ", min_value=0, step = 1)] user_inputs["histogram_mode"] = [st.number_input("histogram_mode: ", min_value=0, step = 1)] user_inputs["histogram_mean"] =[ st.number_input("histogram_mean: ", min_value=0, step = 1)] user_inputs["histogram_median"] = [st.number_input("histogram_median: ", min_value=0, step = 1)] user_inputs["histogram_variance"] = [st.number_input("histogram_variance: ", min_value=0, step = 1)] user_inputs["histogram_tendency"] = [st.number_input("histogram_tendency: ", min_value=0, step = 1)] inputs_pd = pd.DataFrame(data = user_inputs) if st.button('Predict'): col_names = list(inputs_pd) X_df = scaler.fit_transform(inputs_pd) X_df = pd.DataFrame(X_df, columns = col_names) y = clf.predict([inputs_pd.loc[0]]) st.write(f'The patient is {cases[y[0]]}') zeroValue = 0.00 else: patient_id = st.number_input("patient ID: ", min_value=0, step = 1) if st.button('Show & Predict'): if testSet.loc[0].size > patient_id: patientSearchedFor = testSet.loc[patient_id] st.write(patientSearchedFor) col_names = list(patientSearchedFor) X_df = scaler.fit_transform([patientSearchedFor]) X_df = pd.DataFrame(X_df, columns = col_names) y = clf.predict([patientSearchedFor]) st.write(f'The patient is {cases[y[0]]}') col1, col2= st.beta_columns(2) with col1: st.write("Doctor Agreed with the model Prediction") else: st.write("Wrong patient ID") class Login: def __init__(self): logedin = True usernameInput = st.empty() usernamePassword = st.empty() loginBtn = st.empty() if logedin: x = st.sidebar.radio("What type of user are you: ", ("Doctor", "DataEntry", "DataScientist")) if x == "Doctor": d = Doctor() elif x == "DataEntry": d = DataEntry() else: d = DataScientist() else: username = usernameInput.text_input("Enter Username: ", "osama") password = usernamePassword.text_input("Enter Password: ", "3", type="password") if loginBtn.button("Login"): if username == "osama" and password == "3": logedin = True x = st.sidebar.radio("What type of user are you: ", ("Doctor", "DataEntry", "DataScientist")) if x == "Doctor": d = Doctor() elif x == "DataEntry": d = DataEntry() else: d = DataScientist() usernameInput.empty() usernamePassword.empty() loginBtn.empty() else: st.write("invalid user or password") #user_inputs["fetal_health"] = st.number_input("fetal_health: ", min_value=0.00, step = 0.01) logedin = False i = 0 st.set_page_config(page_title="Fetal Health Prediction System", page_icon="🧊",layout="wide", initial_sidebar_state="expanded") st.write(""" # Fetal Health Prediction System """) if not logedin: l = Login() logedin = True logedin = True

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73162855c04df2714dca510a374fce510b70e7be

348

py

Python

flatdata-generator/flatdata/generator/tree/nodes/resources/rawdata.py

gferon/flatdata

8839fb36be105e496fea8acc3fc907ae878dd063

[ "Apache-2.0" ]

140

2018-01-26T21:59:38.000Z

2022-02-17T10:23:29.000Z

flatdata-generator/flatdata/generator/tree/nodes/resources/rawdata.py

gferon/flatdata

8839fb36be105e496fea8acc3fc907ae878dd063

[ "Apache-2.0" ]

114

2018-01-26T17:49:20.000Z

2021-11-26T13:27:08.000Z

flatdata-generator/flatdata/generator/tree/nodes/resources/rawdata.py

gferon/flatdata

8839fb36be105e496fea8acc3fc907ae878dd063

[ "Apache-2.0" ]

22

2018-01-26T16:51:24.000Z

2021-04-27T13:32:44.000Z

from .base import ResourceBase class RawData(ResourceBase): def __init__(self, name, properties=None): super(RawData, self).__init__(name=name, properties=properties) @staticmethod def create(properties): return RawData(name=properties.name, properties=properties) def create_references(self): return []

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null

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null

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1

0

5

7320cf2d634e5378844d60a8891d3ac683001bc5

21,179

py

Python

tests/blackbox/scopes/test_bb_scopes_updates.py

rohitjoshi/waflz

220945e6472762af8d8d7e0849699adcfd488605

[ "Apache-2.0" ]

null

tests/blackbox/scopes/test_bb_scopes_updates.py

rohitjoshi/waflz

220945e6472762af8d8d7e0849699adcfd488605

[ "Apache-2.0" ]

null

tests/blackbox/scopes/test_bb_scopes_updates.py

rohitjoshi/waflz

220945e6472762af8d8d7e0849699adcfd488605

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 '''Test config updates ''' # ------------------------------------------------------------------------------ # Imports # ------------------------------------------------------------------------------ import pytest import subprocess import os import sys import json import time import requests import base64 import time import datetime # ------------------------------------------------------------------------------ # Constants # ------------------------------------------------------------------------------ G_TEST_HOST = 'http://127.0.0.1:12345' # ------------------------------------------------------------------------------ # run_command # ------------------------------------------------------------------------------ def run_command(command): p = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout, stderr = p.communicate() return (p.returncode, stdout, stderr) # ------------------------------------------------------------------------------ # setup scopez server in action mode # ------------------------------------------------------------------------------ @pytest.fixture() def setup_scopez_server_action(): # ------------------------------------------------------ # setup # ------------------------------------------------------ l_cwd = os.getcwd() l_file_path = os.path.dirname(os.path.abspath(__file__)) l_geoip2city_path = os.path.realpath(os.path.join(l_file_path, '../../data/waf/db/GeoLite2-City.mmdb')) l_geoip2ISP_path = os.path.realpath(os.path.join(l_file_path, '../../data/waf/db/GeoLite2-ASN.mmdb')) l_conf_dir = os.path.realpath(os.path.join(l_file_path, '../../data/waf/conf')) l_ruleset_path = os.path.realpath(os.path.join(l_file_path, '../../data/waf/ruleset')) l_scopez_dir = os.path.realpath(os.path.join(l_file_path, '../../data/waf/conf/scopes')) l_scopez_server_path = os.path.abspath(os.path.join(l_file_path, '../../../build/util/scopez_server/scopez_server')) l_subproc = subprocess.Popen([l_scopez_server_path, '-d', l_conf_dir, '-S', l_scopez_dir, '-r', l_ruleset_path, '-g', l_geoip2city_path, '-i', l_geoip2ISP_path, '-a', '-b']) print('cmd: {}'.format(' '.join([l_scopez_server_path, '-d', l_conf_dir, '-S', l_scopez_dir, '-r', l_ruleset_path, '-g', l_geoip2city_path, '-i', l_geoip2ISP_path, '-a', '-b']))) time.sleep(1) # ------------------------------------------------------ # yield... # ------------------------------------------------------ yield setup_scopez_server_action # ------------------------------------------------------ # tear down # ------------------------------------------------------ l_code, l_out, l_err = run_command('kill -9 %d'%(l_subproc.pid)) time.sleep(0.5) def test_acl_config_update(setup_scopez_server_action): ''' update acl config 0050-ZrLf2KkQ - remove gizoogle from user agent black list and test if request returns 200 ''' # ------------------------------------------------------ # test an 0050 with user-agent acl 'gizoogle' in the # request # ------------------------------------------------------ l_uri = G_TEST_HOST l_headers = {'host': 'monkeez.com', 'user-agent': 'gizoogle', 'waf-scopes-id': '0050'} l_r = requests.get(l_uri, headers=l_headers) assert l_r.status_code == 403 assert l_r.text == 'This is acl custom response\n' #------------------------------------------------------- # load acl config and remove gizoogle from blacklist # ------------------------------------------------------ l_conf = {} l_file_path = os.path.dirname(os.path.abspath(__file__)) l_acl_conf_path = os.path.realpath(os.path.join(l_file_path, '../../data/waf/conf/acl/0050-ZrLf2KkQ.acl.json')) try: with open(l_acl_conf_path) as l_f: l_conf = json.load(l_f) except Exception as l_e: print('error opening config file: %s. Reason: %s error: %s, doc: %s' % ( l_acl_conf_path, type(l_e), l_e, l_e.__doc__)) assert False l_conf['user_agent']['blacklist'] = [] l_conf['last_modified_date'] = datetime.datetime.utcnow().strftime('%Y-%m-%dT%H:%M:%S.%fZ') # ------------------------------------------------------ # post/update acl conf # ------------------------------------------------------ l_url = '%s/update_acl'%(G_TEST_HOST) l_headers = {'Content-Type': 'application/json', 'waf-scopes-id': '0050'} l_r = requests.post(l_url, headers=l_headers, data=json.dumps(l_conf)) assert l_r.status_code == 200 # ------------------------------------------------------ # blacklist should have been updated and should get 200 #------------------------------------------------------- l_uri = G_TEST_HOST l_headers = {'host': 'monkeez.com', 'user-agent': 'gizoogle', 'waf-scopes-id': '0050'} l_r = requests.get(l_uri, headers=l_headers) assert l_r.status_code == 200 def test_rules_config_update(setup_scopez_server_action): ''' update rules config 0050-ZrLf3KKq.rules.json - change user agent to Donkeez from Monkeez ''' # ------------------------------------------------------ # test an 0050 with user-agent 'Monkeez' in the # request # ------------------------------------------------------ l_uri = G_TEST_HOST l_headers = {'host': 'monkeez.com', 'user-agent': 'monkeez', 'waf-scopes-id': '0050'} l_r = requests.get(l_uri, headers=l_headers) assert l_r.status_code == 403 assert l_r.text == 'This is rules custom response\n' #------------------------------------------------------- # load rules config and changes monkeez to donkeez in # custom rules # ------------------------------------------------------ l_conf = {} l_file_path = os.path.dirname(os.path.abspath(__file__)) l_rules_conf_path = os.path.realpath(os.path.join(l_file_path, '../../data/waf/conf/rules/0050-ZrLf3KkQ.rules.json')) try: with open(l_rules_conf_path) as l_f: l_conf = json.load(l_f) except Exception as l_e: print('error opening config file: %s. Reason: %s error: %s, doc: %s' % ( l_conf_path, type(l_e), l_e, l_e.__doc__)) assert False l_conf['directive'][1]['sec_rule']['operator']['value'] = 'donkeez' l_conf['last_modified_date'] = datetime.datetime.utcnow().strftime('%Y-%m-%dT%H:%M:%S.%fZ') # ------------------------------------------------------ # post/update rules conf # ------------------------------------------------------ l_url = '%s/update_rules'%(G_TEST_HOST) l_headers = {'Content-Type': 'application/json', 'waf-scopes-id': '0050'} l_r = requests.post(l_url, headers=l_headers, data=json.dumps(l_conf)) assert l_r.status_code == 200 # ------------------------------------------------------ # test again with user-agent 'Monkeez' in the # request. It should pass # ------------------------------------------------------ l_uri = G_TEST_HOST l_headers = {'host': 'monkeez.com', 'user-agent': 'monkeez', 'waf-scopes-id': '0050'} l_r = requests.get(l_uri, headers=l_headers) assert l_r.status_code == 200 # ------------------------------------------------------ # test with user-agent 'donkeez' in the # request. should be blocked # ------------------------------------------------------ l_uri = G_TEST_HOST l_headers = {'host': 'monkeez.com', 'user-agent': 'donkeez', 'waf-scopes-id': '0050'} l_r = requests.get(l_uri, headers=l_headers) assert l_r.status_code == 403 assert l_r.text == 'This is rules custom response\n' def test_profile_config_update(setup_scopez_server_action): ''' update profile config 0050-YrLf3KkQ.wafprof.json - change ignore_query_args to test from ignore ''' # ------------------------------------------------------ # test an 0050 with sql injection # ------------------------------------------------------ l_uri = G_TEST_HOST+'/profile.html?a=%27select%20*%20from%20testing%27' l_headers = {'host': 'monkeez.com', 'waf-scopes-id': '0050'} l_r = requests.get(l_uri, headers=l_headers) assert l_r.status_code == 403 assert l_r.text == 'This is profile custom response\n' # ------------------------------------------------------ # test an 0050 with sql injection and query_args "ignore" # ------------------------------------------------------ l_uri = G_TEST_HOST+'/profile.html?ignore=%27select%20*%20from%20testing%27' l_headers = {'host': 'monkeez.com', 'waf-scopes-id': '0050'} l_r = requests.get(l_uri, headers=l_headers) assert l_r.status_code == 200 #------------------------------------------------------- # load profile config and change "ignore_query_args" # to "test" # ------------------------------------------------------ l_conf = {} l_file_path = os.path.dirname(os.path.abspath(__file__)) l_profile_conf_path = os.path.realpath(os.path.join(l_file_path, '../../data/waf/conf/profile/0050-YrLf3KkQ.wafprof.json')) try: with open(l_profile_conf_path) as l_f: l_conf = json.load(l_f) except Exception as l_e: print('error opening config file: %s. Reason: %s error: %s, doc: %s' % ( l_profile_conf_path, type(l_e), l_e, l_e.__doc__)) assert False l_conf["general_settings"]["ignore_query_args"] = ["test"] l_conf['last_modified_date'] = datetime.datetime.utcnow().strftime('%Y-%m-%dT%H:%M:%S.%fZ') # ------------------------------------------------------ # post/update profile conf # ------------------------------------------------------ l_url = '%s/update_profile'%(G_TEST_HOST) l_headers = {'Content-Type': 'application/json', 'waf-scopes-id': '0050'} l_r = requests.post(l_url, headers=l_headers, data=json.dumps(l_conf)) assert l_r.status_code == 200 # ------------------------------------------------------ # test an 0050 with sql injection and query_args "ignore" # should get 403 # ------------------------------------------------------ l_uri = G_TEST_HOST+'/profile.html?ignore=%27select%20*%20from%20testing%27' l_headers = {'host': 'monkeez.com', 'waf-scopes-id': '0050'} l_r = requests.get(l_uri, headers=l_headers) assert l_r.status_code == 403 assert l_r.text == 'This is profile custom response\n' # ------------------------------------------------------ # test an 0050 with sql injection and query_args "test" # sql injection should be ignored and get 200 # ------------------------------------------------------ l_uri = G_TEST_HOST+'/profile.html?test=%27select%20*%20from%20testing%27' l_headers = {'host': 'monkeez.com', 'waf-scopes-id': '0050'} l_r = requests.get(l_uri, headers=l_headers) assert l_r.status_code == 200 def test_limit_config_update(setup_scopez_server_action): # ------------------------------------------------------ # Make 3 request in 5 sec for 3rd and # 4th scope. Third request should get rate limited # ------------------------------------------------------ l_uri = G_TEST_HOST+'/test.html' l_headers = {'host': 'limit.com', 'waf-scopes-id': '0050'} for x in range(2): l_r = requests.get(l_uri, headers=l_headers) assert l_r.status_code == 200 l_r = requests.get(l_uri, headers=l_headers) assert l_r.status_code == 403 assert l_r.text == 'This is ddos custom response\n' l_uri = G_TEST_HOST+'/test.html' l_headers = {'host': 'test.limit.com', 'waf-scopes-id': '0050'} for x in range(2): l_r = requests.get(l_uri, headers=l_headers) assert l_r.status_code == 200 l_r = requests.get(l_uri, headers=l_headers) assert l_r.status_code == 403 assert l_r.text == 'custom response for limits from limit_id_2\n' # ------------------------------------------------------ # sleep for 10 seconds. Enforcements should expire # ------------------------------------------------------ time.sleep(10) #------------------------------------------------------- # load limit config and change duration_sec to 3 # ------------------------------------------------------ l_conf = {} l_file_path = os.path.dirname(os.path.abspath(__file__)) l_limit_conf_path = os.path.realpath(os.path.join(l_file_path, '../../data/waf/conf/limit/0050-MjMhNXMR.limit.json')) try: with open(l_limit_conf_path) as l_f: l_conf = json.load(l_f) except Exception as l_e: print('error opening config file: %s. Reason: %s error: %s, doc: %s' % ( l_limit_conf_path, type(l_e), l_e, l_e.__doc__)) assert False l_conf["num"] = 3 l_conf['last_modified_date'] = datetime.datetime.utcnow().strftime('%Y-%m-%dT%H:%M:%S.%fZ') #------------------------------------------------------- # POST conf # ------------------------------------------------------ l_url = '%s/update_limit'%(G_TEST_HOST) l_headers = {'Content-Type': 'application/json', 'waf-scopes-id': '0050'} l_r = requests.post(l_url, headers=l_headers, data=json.dumps(l_conf)) assert l_r.status_code == 200 # ------------------------------------------------------ # Make 4 request in 5 sec. fourth request should get # rate limited. Third request shouldn't be blocked # because of the update # ------------------------------------------------------ l_uri = G_TEST_HOST+'/test.html' l_headers = {'host': 'limit.com', 'waf-scopes-id': '0050'} for x in range(3): l_r = requests.get(l_uri, headers=l_headers) assert l_r.status_code == 200 l_r = requests.get(l_uri, headers=l_headers) assert l_r.status_code == 403 assert l_r.text == 'This is ddos custom response\n' # ------------------------------------------------------ # Make 4 request in 5 sec for fourth scope. # verify if 4th scope was also updated # ------------------------------------------------------ l_uri = G_TEST_HOST+'/test.html' l_headers = {'host': 'test.limit.com', 'waf-scopes-id': '0050'} for x in range(3): l_r = requests.get(l_uri, headers=l_headers) assert l_r.status_code == 200 l_r = requests.get(l_uri, headers=l_headers) assert l_r.status_code == 403 assert l_r.text == 'custom response for limits from limit_id_2\n' def test_scopes_update(setup_scopez_server_action): #------------------------------------------------------- # check second scope for AN 0051 working correctly # ------------------------------------------------------ l_uri = G_TEST_HOST+'/path.html' l_headers = {'host': 'www.regexhost.com', 'waf-scopes-id':'0051', 'User-Agent': 'bananas'} l_r = requests.get(l_uri, headers=l_headers) assert l_r.status_code == 403 assert l_r.text == 'This is from RX scope\n' #------------------------------------------------------- # change the 'path' value for scope and update. # check if update was successful # ------------------------------------------------------ l_conf = {} l_file_path = os.path.dirname(os.path.abspath(__file__)) l_scopes_conf_path = os.path.realpath(os.path.join(l_file_path, '../../data/waf/conf/scopes/0051.scopes.json')) try: with open(l_scopes_conf_path) as l_f: l_conf = json.load(l_f) except Exception as l_e: print('error opening config file: %s. Reason: %s error: %s, doc: %s' % ( l_scopes_conf_path, type(l_e), l_e, l_e.__doc__)) assert False l_conf['scopes'][1]['path']['value'] = ".*/test.html" l_conf['last_modified_date'] = datetime.datetime.utcnow().strftime('%Y-%m-%dT%H:%M:%S.%fZ') #------------------------------------------------------- # POST conf # ------------------------------------------------------ l_url = '%s/update_scopes'%(G_TEST_HOST) l_headers = {'Content-Type': 'application/json'} l_r = requests.post(l_url, headers=l_headers, data=json.dumps(l_conf)) assert l_r.status_code == 200 #------------------------------------------------------- # make a request with same path '/path.html', # should match GLOB scope # ------------------------------------------------------ l_uri = G_TEST_HOST+'/path.html' l_headers = {'host': 'www.regexhost.com', 'waf-scopes-id':'0051', 'User-Agent': 'bananas'} l_r = requests.get(l_uri, headers=l_headers) assert l_r.status_code == 403 assert l_r.text == 'This is from GLOB scope\n' #------------------------------------------------------- # make a request with updated path '/test.html', # should get 403 with custom response # ------------------------------------------------------ l_uri = G_TEST_HOST+'/test.html' l_headers = {'host': 'www.regexhost.com', 'waf-scopes-id':'0051', 'User-Agent': 'bananas'} l_r = requests.get(l_uri, headers=l_headers) assert l_r.status_code == 403 assert l_r.text == 'This is from RX scope\n' def test_scopes_linkage_update(setup_scopez_server_action): """ Test linkage update. Update rules config in second scope (0050-scopes.json) to 0050-0gG8osWJ.rules.json from 0050-ZrLf3KkQ.rules.json check if update worked """ #------------------------------------------------------- # check second scope for AN 0050 working correctly # ------------------------------------------------------ l_uri = G_TEST_HOST+'/path.html' l_headers = {'host': 'test.com', 'waf-scopes-id':'0050', 'User-Agent': 'monkeez'} l_r = requests.get(l_uri, headers=l_headers) assert l_r.status_code == 403 assert l_r.text == 'This is rules custom response\n' #------------------------------------------------------- # change the 'rules_prod_id' value for second scope # and update. # check if update was successful # ------------------------------------------------------ l_conf = {} l_file_path = os.path.dirname(os.path.abspath(__file__)) l_scopes_conf_path = os.path.realpath(os.path.join(l_file_path, '../../data/waf/conf/scopes/0050.scopes.json')) try: with open(l_scopes_conf_path) as l_f: l_conf = json.load(l_f) except Exception as l_e: print('error opening config file: %s. Reason: %s error: %s, doc: %s' % ( l_scopes_conf_path, type(l_e), l_e, l_e.__doc__)) assert False l_conf['scopes'][1]['rules_prod_id'] = "0050-0gG8osWJ" l_conf['last_modified_date'] = datetime.datetime.utcnow().strftime('%Y-%m-%dT%H:%M:%S.%fZ') #------------------------------------------------------- # POST conf # ------------------------------------------------------ l_url = '%s/update_scopes'%(G_TEST_HOST) l_headers = {'Content-Type': 'application/json'} l_r = requests.post(l_url, headers=l_headers, data=json.dumps(l_conf)) assert l_r.status_code == 200 #------------------------------------------------------- # make the same request. should get 200 # ------------------------------------------------------ l_uri = G_TEST_HOST+'/path.html' l_headers = {'host': 'test.com', 'waf-scopes-id':'0050', 'User-Agent': 'monkeez'} l_r = requests.get(l_uri, headers=l_headers) assert l_r.status_code == 200 #assert l_r.text == 'This is from GLOB scope\n' #------------------------------------------------------- # make a request with user-agent bananas # ------------------------------------------------------ l_uri = G_TEST_HOST+'/path.html' l_headers = {'host': 'test.com', 'waf-scopes-id':'0050', 'User-Agent': 'bananas'} l_r = requests.get(l_uri, headers=l_headers) assert l_r.status_code == 403 assert l_r.text == 'This is rules custom response\n'

46.445175

127

0.47363

2,428

21,179

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0.746872

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0.70106

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0

0.022994

0.215591

21,179

455

128

46.547253

0.544634

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0.027027

false

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0.033784

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0.064189

0.023649

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null

0

1

0

1

0

1

0

null

0

5

73420aa4f6e3ed9ef36c3abd1b21532c44e9fe5a

65

py

Python

cvdd/preprocessors/__init__.py

altescy/cvdd

57e4fe0fd30a6d2b67651ce076b63a9a8a6e7c7a

[ "MIT" ]

5

2021-07-11T08:40:43.000Z

2021-07-19T05:08:11.000Z

cvdd/preprocessors/__init__.py

altescy/cvdd

57e4fe0fd30a6d2b67651ce076b63a9a8a6e7c7a

[ "MIT" ]

null

cvdd/preprocessors/__init__.py

altescy/cvdd

57e4fe0fd30a6d2b67651ce076b63a9a8a6e7c7a

[ "MIT" ]

null

from cvdd.preprocessors.stopwords import Stopwords # noqa: F401

32.5

64

0.815385

8

65

6.625

0.875

0

0.052632

0.123077

65

1

65

0.877193

0.153846

0

1

0

true

0

1

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1

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1

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null

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1

0

null

0

1

0

1

0

1

0

5

734ca65a9fb58ba2c1985d18cc4676e3a146663d

75

py

Python

http2py/__init__.py

i2mint/http2py

8715cd9e56f50b868bfd70c699f5363b053a2295

[ "Apache-2.0" ]

1

2020-10-07T03:16:49.000Z

http2py/__init__.py

i2mint/http2py

8715cd9e56f50b868bfd70c699f5363b053a2295

[ "Apache-2.0" ]

3

2020-10-12T22:17:39.000Z

2022-01-19T23:59:46.000Z

http2py/__init__.py

i2mint/http2py

8715cd9e56f50b868bfd70c699f5363b053a2295

[ "Apache-2.0" ]

1

2020-10-12T21:28:16.000Z

from .client import HttpClient from .cli_maker import mk_cli, dispatch_cli

25

43

0.84

12

75

5

0.666667

0

0.12

75

2

44

37.5

0.909091

0

1

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true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

73535a2eec20fe8c9bb71cef477809dcf691bb57

6,466

py

Python

dgx_remote_shell/dgx_remote_shell/test.py

AMXAUNZ/DGX-Remote-Shell

3e4ff141158d0d0dd7dce0a34b13ddba8e1085d4

[ "MIT" ]

null

dgx_remote_shell/dgx_remote_shell/test.py

AMXAUNZ/DGX-Remote-Shell

3e4ff141158d0d0dd7dce0a34b13ddba8e1085d4

[ "MIT" ]

null

dgx_remote_shell/dgx_remote_shell/test.py

AMXAUNZ/DGX-Remote-Shell

3e4ff141158d0d0dd7dce0a34b13ddba8e1085d4

[ "MIT" ]

null

text = """Line 20 (10:11:37):: Command From [5002:3:1]-[$03$0D$0A$1B[1GDGX_SHELL>$1B[11Gshow$0D$0AVersion Info:$0D$0AMCPU$0D$0A BTL: 3.8.0 $09HW_ID 0x0 $09Targ_ID 0x0 $09SysRevID 0x1 $09FW_ID 0x500$0D$0A APP: 2.6.2.2 R $09Nov 15 2014 20:35:43$0D$0A SRM: 1.0.5.1$0D$0ABCPU1 DxLink_input$0D$0A BTL 1.0.0.2 $09HW_ID 0x1 $09Targ_ID 0x0 ] Line 21 (10:11:37):: Command From [5002:3:1]-[ $09SysRevID 0x2 $09FW_ID 0x10C0$0D$0A APP 1.2.3.1 $09HW_ID 0x1 $09Targ_ID 0x0 $09SysRevID 0x1 $09FW_ID 0x10C0$0D$0A EEPROM 1.0.2.1 $09HW_ID 0x0 $09Targ_ID 0x0 $09SysRevID 0x1 $09FW_ID 0x2030$0D$0A EEPROM 3.0.6.0 $09HW_ID 0x0 $09Targ_ID 0x0 $09SysRevID 0x1 $09FW_ID 0x2060$0D$0ABCPU] Line 22 (10:11:37):: Command From [5002:3:1]-[2 DxLink_input$0D$0A BTL 1.0.0.2 $09HW_ID 0x1 $09Targ_ID 0x0 $09SysRevID 0x2 $09FW_ID 0x10C0$0D$0A APP 1.2.3.1 $09HW_ID 0x1 $09Targ_ID 0x0 $09SysRevID 0x1 $09FW_ID 0x10C0$0D$0A EEPROM 1.0.2.1 $09HW_ID 0x0 $09Targ_ID 0x0 $09SysRevID 0x1 $09FW_ID 0x2030$0D$0A EEPROM 3.] Line 23 (10:11:37):: Command From [5002:3:1]-[0.6.0 $09HW_ID 0x0 $09Targ_ID 0x0 $09SysRevID 0x1 $09FW_ID 0x2060$0D$0ABCPU3 HDMI_input$0D$0A BTL 1.0.0.2 $09HW_ID 0x0 $09Targ_ID 0x0 $09SysRevID 0x2 $09FW_ID 0x1050$0D$0A APP 1.0.8.1 $09HW_ID 0x0 $09Targ_ID 0x0 $09SysRevID 0x1 $09FW_ID 0x1050$0D$0ABCPU5 DxLink_output] Line 24 (10:11:37):: Command From [5002:3:1]-[$0D$0A BTL 1.0.0.2 $09HW_ID 0x1 $09Targ_ID 0x0 $09SysRevID 0x2 $09FW_ID 0x10D0$0D$0A APP 1.2.2.3 $09HW_ID 0x1 $09Targ_ID 0x0 $09SysRevID 0x1 $09FW_ID 0x10D0$0D$0A EEPROM 1.0.2.1 $09HW_ID 0x0 $09Targ_ID 0x0 $09SysRevID 0x1 $09FW_ID 0x2030$0D$0A EEPROM 3.0.6.0 $09HW_ID 0x0 $09] Line 25 (10:11:37):: Command From [5002:3:1]-[Targ_ID 0x0 $09SysRevID 0x1 $09FW_ID 0x2070$0D$0ABCPU6 HDMI_output$0D$0A BTL 1.0.0.2 $09HW_ID 0x1 $09Targ_ID 0x0 $09SysRevID 0x2 $09FW_ID 0x1080$0D$0A APP 1.2.6.2 $09HW_ID 0x1 $09Targ_ID 0x0 $09SysRevID 0x1 $09FW_ID 0x1080$0D$0A FPGA 1.8.0.0 $09HW_ID 0x0 $09Targ_ID 0x] Line 26 (10:11:37):: Command From [5002:3:1]-[0 $09SysRevID 0x1 $09FW_ID 0x2010$0D$0ACENTER $0D$0A BTL 1.0.1.3 $09HW_ID 0x1 $09Targ_ID 0x1 $09SysRevID 0x2 $09FW_ID 0x1030$0D$0A APP 2.0.2.3 $09HW_ID 0x1 $09Targ_ID 0x1 $09SysRevID 0x1 $09FW_ID 0x1030$0D$0APPIC $0D$0A BTL 1.0.1.4 $09HW_ID 0x0 $09Targ_ID 0x0 $09SysR] Line 27 (10:11:37):: Command From [5002:3:1]-[evID 0x2 $09FW_ID 0x1000$0D$0A APP 2.2.2.1 $09HW_ID 0x0 $09Targ_ID 0x0 $09SysRevID 0x1 $09FW_ID 0x1000$0D$0A EEPROM 1.2.1.1 $09HW_ID 0x0 $09Targ_ID 0x0 $09SysRevID 0x1 $09FW_ID 0x2020$0D$0A$0D$0A$1B[1GDGX_SHELL>$1B[11G"]""" text = """Line 28 (11:12:42):: Command From [5002:3:1]-[$03$0D$0A$1B[1GDGX_SHELL>$1B[11Gchannel$0D$0ABCPU1 Channel: 0 port: 0 No Signal$0D$0ABCPU1 Channel: 1 port: 0 No Signal$0D$0ABCPU1 Channel: 2 port: 0 No Signal$0D$0ABCPU1 Channel: 3 port: 0 No Signal$0D$0ABCPU2 Channel: 0 port: 0 No Signal$0D$0ABCPU2 Channel: 1 port: 0 No Signal$0D$0ABCPU2 Cha] Line 29 (11:12:42):: Command From [5002:3:1]-[nnel: 2 port: 0 No Signal$0D$0ABCPU2 Channel: 3 port: 0 No Signal$0D$0ABCPU3 Channel: 0 port: 0 No Signal$0D$0ABCPU3 Channel: 1 port: 0 No Signal$0D$0ABCPU3 Channel: 2 port: 0 No Signal$0D$0ABCPU3 Channel: 3 port: 0 No Signal$0D$0ABCPU5 Channel: 0 port: 0 No Signal$0D$0ABCPU5 Channel] Line 30 (11:12:42):: Command From [5002:3:1]-[: 1 port: 0 No Signal$0D$0ABCPU5 Channel: 2 port: 0 No Signal$0D$0ABCPU5 Channel: 3 port: 0 No Signal$0D$0ABCPU6 Channel: 0 port: 0 No Signal$0D$0ABCPU6 Channel: 1 port: 0 No Signal$0D$0ABCPU6 Channel: 2 port: 0 No Signal$0D$0ABCPU6 Channel: 3 port: 0 No Signal$0D$0A$1B[1GDGX_SHELL>$1B[1] Line 31 (11:12:42):: Command From [5002:3:1]-[1G]""" text = """Line 1 (11:41:43):: Command From [5002:3:1]-[$03$0D$0A$1B[1GDGX_SHELL>$1B[11Gswitch$0D$0A$1B[1;1H$1B[2J$0D$0A O U T P U T S $0D$0A | 1 2 3 4| 5 6 7 8| 9 10 11 12|13 14 15 16|$0D$0A ---+-----------+-----------+-----------+-----------+$0D$0A 1] Line 2 (11:41:43):: Command From [5002:3:1]-[ |.. .. .. ..|.. .. .. ..|.. .. .. ..|.. .. .. ..|$0D$0A 2 |>< >< >< ><|>< >< >< ><|>< >< >< ><|>< >< >< ><|$0D$0A 3 |.. .. .. ..|.. .. .. ..|.. .. .. ..|.. .. .. ..|$0D$0A 4 |.. .. .. ..|.. .. .. ..|.. .. .. ..|.. .. .. ..|$0D$0A ---+-----------+-----------+------] Line 3 (11:41:43):: Command From [5002:3:1]-[-----+-----------+$0D$0A 5 |.. .. .. ..|.. .. .. ..|.. .. .. ..|.. .. .. ..|$0D$0A 6 |.. .. .. ..|.. .. .. ..|.. .. .. ..|.. .. .. ..|$0D$0A 7 |.. .. .. ..|.. .. .. ..|.. .. .. ..|.. .. .. ..|$0D$0A 8 |.. .. .. ..|.. .. .. ..|.. .. .. ..|.. .. .. ..|$0D$0A ---+------] Line 4 (11:41:43):: Command From [5002:3:1]-[-----+-----------+-----------+-----------+$0D$0A 9 |.. .. .. ..|.. .. .. ..|.. .. .. ..|.. .. .. ..|$0D$0A 10 |.. .. .. ..|.. .. .. ..|.. .. .. ..|.. .. .. ..|$0D$0A 11 |.. .. .. ..|.. .. .. ..|.. .. .. ..|.. .. .. ..|$0D$0A 12 |.. .. .. ..|.. .. .. ..|.. .. .. ..|..] Line 5 (11:41:43):: Command From [5002:3:1]-[ .. .. ..|$0D$0A ---+-----------+-----------+-----------+-----------+$0D$0AI 13 |.. .. .. ..|.. .. .. ..|.. .. .. ..|.. .. .. ..|$0D$0A 14 |.. .. .. ..|.. .. .. ..|.. .. .. ..|.. .. .. ..|$0D$0AN 15 |.. .. .. ..|.. .. .. ..|.. .. .. ..|.. .. .. ..|$0D$0A 16 |.. .. .. ..|..] Line 6 (11:41:43):: Command From [5002:3:1]-[ .. .. ..|.. .. .. ..|.. .. .. ..|$0D$0AP ---+-----------+-----------+-----------+-----------+$0D$0A$0D$0A$1B[1GDGX_SHELL>$1B[11G]""" # split into lines lines = text.split('\n') # drop the header #my_line = '' unwanted = [('^13', ''), ('$03', ''), ('1G', ''), ('$1B1;1H$1B2J', ''), ('$0D$0A', '\r'), ('$0D $0A', '\r'), ('$09', '\t'), ('$1BDGX_SHELL>$1B1', 'DGX_SHELL>')] output = '' for line in lines: my_line = line.split('-', 1)[1] my_line = my_line.replace('[', '') my_line = my_line.replace(']', '') output = output + my_line print output for item in unwanted: output = output.replace(item[0], item[1]) print output # remove some unwanted stuff # [ # ] # ^13 # $03 # $1B1;1H$1B2J # replace some stuff # $0D$0A -- \r? # $0D $0A -- \r? # $09 -- tab? # $1B1GDGX_SHELL>$1B11G -- DGX_SHELL> #

95.088235

369

0.523044

1,050

6,466

3.134286

0.131429

0.070495

0.04254

0.079003

0.725919

0.692495

0.659982

0.466424

0.385901

0.34883

0

0.226622

0.211104

6,466

67

370

96.507463

0.418545

0.029694

0

0.108108

0

0.459459

0.914468

0.101199

0

0.054516

0

null

0

null

0.054054

0

null

0

1

0

1

0

1

0

null

0

1

0

5

7df89317e7a2eb8c46e0f10944595108c74c31ec

208

py

Python

src/micromind/stamp.py

MicroMedIAn/MicroMind

93e3e91ce4f210cf0a676a79edcdcf04fa6b4818

[ "MIT" ]

1

2021-01-21T13:56:45.000Z

src/micromind/stamp.py

MicroMedIAn/MicroMind

93e3e91ce4f210cf0a676a79edcdcf04fa6b4818

[ "MIT" ]

null

src/micromind/stamp.py

MicroMedIAn/MicroMind

93e3e91ce4f210cf0a676a79edcdcf04fa6b4818

[ "MIT" ]

null

from datetime import datetime from uuid import uuid4 def timestamp(): return datetime.now() def uuid(): return str(uuid4()) def eventid(): return f'{timestamp()}-{uuid()}'.replace(' ', '-')

13.866667

54

0.634615

25

208

5.28

0.52

0.121212

0

0.011905

0.192308

208

14

55

14.857143

0.77381

0

0.115385

0.105769

0

1

0.375

true

0

0.25

0.375

1

0

1

0

null

0

null

0

1

0

1

0

5

b43ff864100ed2affdcda1e57f1a8c0d2e1fe34a

25

py

Python

tests/var/add_self.py

Mieschendahl/assignment-final-stub

19eea657fcc4f8a455c42028f34b918628514cc0

[ "MIT" ]

null

tests/var/add_self.py

Mieschendahl/assignment-final-stub

19eea657fcc4f8a455c42028f34b918628514cc0

[ "MIT" ]

1

2022-03-20T11:08:45.000Z

tests/var/add_self.py

Mieschendahl/assignment-final-stub

19eea657fcc4f8a455c42028f34b918628514cc0

[ "MIT" ]

6

2022-03-13T13:10:25.000Z

2022-03-28T22:18:12.000Z

x = 3 x = x + x print(x)

6.25

9

0.44

7

25

1.571429

0.428571

0.363636

0

0.0625

0.36

25

3

10

8.333333

0.625

0

1

0

false

0

0.333333

1

null

1

0

1

0

null

0

5

b442c4548755c9f1e23eb51e2779fd26c34bd10c

3,944

py

Python

ddcz/migrations/0014_auto_20180614_0032.py

ItIsI-Orient/graveyard

4b1c1be90b6f1362aa43c65899bb3676ffccbeb9

[ "MIT" ]

null

ddcz/migrations/0014_auto_20180614_0032.py

ItIsI-Orient/graveyard

4b1c1be90b6f1362aa43c65899bb3676ffccbeb9

[ "MIT" ]

null

ddcz/migrations/0014_auto_20180614_0032.py

ItIsI-Orient/graveyard

4b1c1be90b6f1362aa43c65899bb3676ffccbeb9

[ "MIT" ]

null

# Generated by Django 2.0.2 on 2018-06-13 22:32 import ddcz.models.magic from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('ddcz', '0013_auto_20180614_0021'), ] operations = [ migrations.AlterField( model_name='creationvotes', name='opraveno', field=ddcz.models.magic.MisencodedCharField(max_length=1), ), migrations.AlterField( model_name='creationvotes', name='rubrika', field=ddcz.models.magic.MisencodedCharField(max_length=20), ), migrations.AlterField( model_name='creativepage', name='name', field=ddcz.models.magic.MisencodedCharField(max_length=30), ), migrations.AlterField( model_name='creativepageconcept', name='text', field=ddcz.models.magic.MisencodedTextField(), ), migrations.AlterField( model_name='creativepagesection', name='name', field=ddcz.models.magic.MisencodedCharField(max_length=30), ), migrations.AlterField( model_name='monster', name='bojovnost', field=ddcz.models.magic.MisencodedCharField(blank=True, max_length=50, null=True), ), migrations.AlterField( model_name='monster', name='datum', field=models.DateTimeField(auto_now_add=True), ), migrations.AlterField( model_name='monster', name='inteligence', field=ddcz.models.magic.MisencodedCharField(blank=True, max_length=50, null=True), ), migrations.AlterField( model_name='monster', name='oc', field=ddcz.models.magic.MisencodedTextField(), ), migrations.AlterField( model_name='monster', name='odl', field=ddcz.models.magic.MisencodedCharField(max_length=3), ), migrations.AlterField( model_name='monster', name='poh', field=ddcz.models.magic.MisencodedTextField(blank=True, null=True), ), migrations.AlterField( model_name='monster', name='pokl', field=ddcz.models.magic.MisencodedTextField(blank=True, null=True), ), migrations.AlterField( model_name='monster', name='popis', field=ddcz.models.magic.MisencodedTextField(), ), migrations.AlterField( model_name='monster', name='pres', field=ddcz.models.magic.MisencodedTextField(blank=True, null=True), ), migrations.AlterField( model_name='monster', name='skupina', field=ddcz.models.magic.MisencodedTextField(), ), migrations.AlterField( model_name='monster', name='sm', field=ddcz.models.magic.MisencodedCharField(db_column='SM', max_length=50), ), migrations.AlterField( model_name='monster', name='uc', field=ddcz.models.magic.MisencodedTextField(), ), migrations.AlterField( model_name='monster', name='vel', field=ddcz.models.magic.MisencodedCharField(max_length=20), ), migrations.AlterField( model_name='monster', name='zkus', field=ddcz.models.magic.MisencodedCharField(max_length=50), ), migrations.AlterField( model_name='monster', name='zran', field=ddcz.models.magic.MisencodedTextField(blank=True, null=True), ), migrations.AlterField( model_name='monster', name='zvt', field=ddcz.models.magic.MisencodedTextField(), ), ]

32.866667

94

0.563387

344

3,944

6.351744

0.203488

0.09611

0.144165

0.278719

0.836156

0.800458

0.729977

0.648055

0.570252

0

0.01827

0.31998

3,944

119

95

33.142857

0.796421

0.01141

0

0.690265

1

0

0.080831

0.005902

0

1

0

false

0

0.017699

0

0.044248

0

null

0

1

0

1

0

null

0

5

b45eff381f8b9068052052380d35a3ba36759281

318

py

Python

utils/autoreload.py

huangbop/bosk

b3d37ae3bd15e091e1a0764ee8d39f4790628765

[ "MIT" ]

null

utils/autoreload.py

huangbop/bosk

b3d37ae3bd15e091e1a0764ee8d39f4790628765

[ "MIT" ]

null

utils/autoreload.py

huangbop/bosk

b3d37ae3bd15e091e1a0764ee8d39f4790628765

[ "MIT" ]

null

def restart_with_reloader(): while True: def python_reloader(main_func, *args, **kwargs): try: exit_code = restart_with_reloader() except: pass def main(main_func, *args, **kwargs): reloader = python_reloader python_reloader(main_func, *(), **{})

9.352941

48

0.584906

34

318

5.147059

0.470588

0.24

0.217143

0.251429

0

0.298742

318

33

49

9.636364

0.784753

0

null

0.1

0

null

0

null

1

0

null

0

1

0

1

0

5

b46dde60761010263d79bda17f9c05790d13ea58

143

py

Python

repeater/__init__.py

Lukasa/pyrc

71ecd506e47e28e0f6649ea5993532cf87924d96

[ "MIT" ]

1

2017-12-02T23:14:12.000Z

repeater/__init__.py

Lukasa/pyrc

71ecd506e47e28e0f6649ea5993532cf87924d96

[ "MIT" ]

null

repeater/__init__.py

Lukasa/pyrc

71ecd506e47e28e0f6649ea5993532cf87924d96

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ repeater/ ~~~~~~~~~ This module defines the basic webserver that powers pyrc. """ from .server import application

15.888889

57

0.65035

17

143

5.470588

1

0

0.008333

0.160839

143

8

58

17.875

0.766667

0.706294

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

b473fdd7df4655afa3929299183ddcaa18cee090

51

py

Python

ch1/Ex_1.3.4.1/task02.py

lyskevin/cpbook-code

027f77933428d7688f935800ffa9109794e429b1

[ "UPL-1.0" ]

1,441

2018-12-03T23:46:17.000Z

2022-03-29T06:36:43.000Z

ch1/Ex_1.3.4.1/task02.py

lyskevin/cpbook-code

027f77933428d7688f935800ffa9109794e429b1

[ "UPL-1.0" ]

53

2018-12-11T13:50:35.000Z

2022-03-20T04:30:39.000Z

ch1/Ex_1.3.4.1/task02.py

lyskevin/cpbook-code

027f77933428d7688f935800ffa9109794e429b1

[ "UPL-1.0" ]

420

2018-12-04T11:22:08.000Z

2022-03-27T15:25:33.000Z

from math import pi print(round(pi, int(input())))

17

30

0.705882

9

51

4

0.888889

0

0.117647

51

2

31

25.5

0.8

0

1

0

true

0

0.5

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

b47ad9bdf9009dfd71eb1f2fdcab5a6a14db3f18

82

py

Python

geo_agent/infection_functions/infect_init.py

kevjp/openstreetmap-carto

be30cfe8d73f78cb4b5ba9acaaf42a942c70270d

[ "CC0-1.0" ]

null

geo_agent/infection_functions/infect_init.py

kevjp/openstreetmap-carto

be30cfe8d73f78cb4b5ba9acaaf42a942c70270d

[ "CC0-1.0" ]

null

geo_agent/infection_functions/infect_init.py

kevjp/openstreetmap-carto

be30cfe8d73f78cb4b5ba9acaaf42a942c70270d

[ "CC0-1.0" ]

null

class Infectioninit(): def time_dependent_prob(self): return 0.5

9.111111

34

0.634146

10

82

5

1

0

0.033898

0.280488

82

8

35

10.25

0.813559

0

1

0.333333

false

0

0.333333

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

c348901a1d52222579c28581d8a50680b611181d

96

py

Python

inPress/datecheck.py

hadimuhammad/InPress

c572ae8a227aa36160add52c3a7e75d8d6acb2dc

[ "FSFAP" ]

null

inPress/datecheck.py

hadimuhammad/InPress

c572ae8a227aa36160add52c3a7e75d8d6acb2dc

[ "FSFAP" ]

null

inPress/datecheck.py

hadimuhammad/InPress

c572ae8a227aa36160add52c3a7e75d8d6acb2dc

[ "FSFAP" ]

null

from datetime import date print date.today() if ("2013-01-01" < date.today()): print "true"

16

33

0.666667

15

96

4.266667

0.666667

0.28125

0

0.1

0.166667

96

6

34

16

0.7

0

0.14433

0

null

0

0.25

null

0.5

1

0

null

1

0

1

0

null

0

1

0

1

0

5

c35fd43d7cfa01b6bc2880868b2605fe020c173f

171

py

Python

reports/admin.py

j-windsor/cs3240-f15-team21-v2

ec95c6629b84e7e0f52d34990ec8bec863d90a7b

[ "MIT" ]

null

reports/admin.py

j-windsor/cs3240-f15-team21-v2

ec95c6629b84e7e0f52d34990ec8bec863d90a7b

[ "MIT" ]

null

reports/admin.py

j-windsor/cs3240-f15-team21-v2

ec95c6629b84e7e0f52d34990ec8bec863d90a7b

[ "MIT" ]

null

from django.contrib import admin from .models import Report, Folder, Contributor admin.site.register(Report) admin.site.register(Folder) admin.site.register(Contributor)

24.428571

47

0.824561

23

171

6.130435

0.478261

0.191489

0.361702

0

0.081871

171

6

48

28.5

0.898089

0

1

0

true

0

0.4

0

0.4

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

5ede8bea43c2854fd6dd3de2baba5b17b347a515

71

py

Python

pyforc/core/__init__.py

peytondmurray/PyFORC

743b39ee03d5eca90b326c47fcb1c04a2726cbfa

[ "MIT" ]

2

2018-11-08T16:11:15.000Z

2021-11-21T23:21:34.000Z

pyforc/core/__init__.py

peytondmurray/PyFORC

743b39ee03d5eca90b326c47fcb1c04a2726cbfa

[ "MIT" ]

1

2021-04-03T03:01:37.000Z

pyforc/core/__init__.py

peytondmurray/PyFORC

743b39ee03d5eca90b326c47fcb1c04a2726cbfa

[ "MIT" ]

2

2021-04-03T01:29:48.000Z

2022-02-17T20:55:36.000Z

from . import config, coordinates, forc, forcdata, ingester, ops, plot

35.5

70

0.760563

9

71

6

1

0

0.140845

71

1

71

0.885246

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

5efcff3a96fce06b393c3ec4e54eefdb3e383667

288

py

Python

tests/functional/conftest.py

gbvanrenswoude/awsprocesscreds

99c8a20361ebd495d057e7960e5ef4578d1b3780

[ "Apache-2.0" ]

136

2017-11-29T19:46:40.000Z

2022-02-13T08:03:00.000Z

tests/functional/conftest.py

gbvanrenswoude/awsprocesscreds

99c8a20361ebd495d057e7960e5ef4578d1b3780

[ "Apache-2.0" ]

39

2017-11-29T17:32:09.000Z

2021-11-24T05:41:56.000Z

tests/functional/conftest.py

gbvanrenswoude/awsprocesscreds

99c8a20361ebd495d057e7960e5ef4578d1b3780

[ "Apache-2.0" ]

57

2017-11-29T16:43:54.000Z

2022-03-25T15:41:02.000Z

import mock import pytest import requests @pytest.fixture(autouse=True) def mock_requests_session(monkeypatch): session = mock.Mock(spec=requests.Session) session_cls = mock.Mock(return_value=session) monkeypatch.setattr("requests.Session", session_cls) return session

22.153846

56

0.777778

36

288

6.083333

0.416667

0.205479

0.200913

0.228311

0

0.131944

288

12

57

24

0.876

0

0.055556

0

1

0.111111

false

0

0.333333

0

0.555556

0

null

1

0

null

0

1

0

1

0

5

48abc6e45cbd078838cb65fb0454c7bd58261b01

32

py

Python

deep_disfluency/corpus/test.py

treena908/deep_disfluency

4e18bc17e74c356cd3a9c26fc80bf1c4a5487d59

[ "MIT" ]

null

deep_disfluency/corpus/test.py

treena908/deep_disfluency

4e18bc17e74c356cd3a9c26fc80bf1c4a5487d59

[ "MIT" ]

null

deep_disfluency/corpus/test.py

treena908/deep_disfluency

4e18bc17e74c356cd3a9c26fc80bf1c4a5487d59

[ "MIT" ]

null

print('hello world') print('hi')

16

20

0.6875

5

32

4.4

0.8

0

0.0625

32

2

21

16

0.733333

0

0.393939

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

5b128e4a19d912e40496cb20685172f3583c021b

286

py

Python

desafiosCursoEmVideo/ex049.py

gomesGabriel/Pythonicos

b491cefbb0479dd83fee267304d0fa30b99786a5

[ "MIT" ]

1

2019-09-02T12:14:58.000Z

desafiosCursoEmVideo/ex049.py

gomesGabriel/Pythonicos

b491cefbb0479dd83fee267304d0fa30b99786a5

[ "MIT" ]

null

desafiosCursoEmVideo/ex049.py

gomesGabriel/Pythonicos

b491cefbb0479dd83fee267304d0fa30b99786a5

[ "MIT" ]

null

print('\033[33m-=-\033[m' * 20) print('\033[33m************* Outra tabuada *************\033[m') print('\033[33m-=-\033[m' * 20) v = int(input('Insira um valor: ')) print('A tabuada do {} é: ' .format(v)) for c in range(0, 10): print('{} * {} = {}' .format(c, v, c*v)) print('Fim')

31.777778

64

0.5

46

286

3.108696

0.521739

0.167832

0.230769

0.195804

0.237762

0

0.126531

0.143357

286

8

65

35.75

0.457143

0

0.25

0

0.48951

0.073427

0

1

0

false

0

0.75

0

null

0

1

0

1

0

1

0

null

0

1

0

5

5b22c7207f317267e44074fba8cef32183d1e63b

73

py

Python

__init__.py

mcandemir/fetch-boring-stuff

67cab916794dab2f969244ae2c5552573ea91dc3

[ "MIT" ]

null

__init__.py

mcandemir/fetch-boring-stuff

67cab916794dab2f969244ae2c5552573ea91dc3

[ "MIT" ]

null

__init__.py

mcandemir/fetch-boring-stuff

67cab916794dab2f969244ae2c5552573ea91dc3

[ "MIT" ]

1

2021-09-09T09:14:10.000Z

from scripts.fetcher import Fetcher fetcher = Fetcher() fetcher.start()

14.6

35

0.780822

9

73

6.333333

0.555556

0.736842

0

0.123288

73

4

36

18.25

0.890625

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

5

d2c45c86d30dc86862f4e85877bc02cc24e0f6f9

56,976

py

Python

paxes_nova/tests/virt/ibmpowervm/ivm/test_operator_ivm.py

windskyer/k_nova

63579dbfcfcda5def5b588a6728bfff85ad4564e

[ "Apache-2.0" ]

null

paxes_nova/tests/virt/ibmpowervm/ivm/test_operator_ivm.py

windskyer/k_nova

63579dbfcfcda5def5b588a6728bfff85ad4564e

[ "Apache-2.0" ]

null

paxes_nova/tests/virt/ibmpowervm/ivm/test_operator_ivm.py

windskyer/k_nova

63579dbfcfcda5def5b588a6728bfff85ad4564e

[ "Apache-2.0" ]

null

''' Created on Apr 20, 2015 @author: root ''' import mock import testtools from paxes_nova.virt.ibmpowervm.ivm import operator from paxes_nova.virt.ibmpowervm.ivm.common import Connection from paxes_nova.virt.ibmpowervm.ivm import exception from decimal import Decimal from paxes_nova.virt.ibmpowervm.ivm.operator import IVMOperator class IVMOperatorTestCase(testtools.TestCase): def setUp(self): super(IVMOperatorTestCase, self).setUp() conn = Connection('172.24.23.212', 'root', 'teamsun') self.ivm_opt = operator.IVMOperator(conn) self.rasis = exception def tearDown(self): super(IVMOperatorTestCase, self).tearDown() @mock.patch('nova.openstack.common.processutils.execute') def test_run_interactive(self, mock_processutils_execute): cmd = ['oem_setup_env', 'lsvg -o', 'exit'] mock_processutils_execute.return_value = ('datavg\nrootvg\n', '') self.assertEqual(self.ivm_opt.run_interactive(cmd), []) @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.run_interactive') def test_get_wwpns(self, mock_run_interactive): mock_run_interactive.return_value = ([' Network Address.............10000090FA1B2436', ' Network Address.............10000090FA1B2437', ' Network Address.............10000090FA1B2874', ' Network Address.............10000090FA1B2875', ]) self.assertEqual(self.ivm_opt.get_wwpns(), ['10000090FA1B2436', '10000090FA1B2437', '10000090FA1B2874', '10000090FA1B2875', ]) @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.run_interactive') def test_get_device_name_by_wwpn(self, mock_run_interactive): mock_run_interactive.return_value = ([' fcs2 U78AB.001.WZSJH1H-P1-C3-T1 4Gb FC PCI Express Adapter (df1000fe)', '', ' Part Number.................00E0807', ' Serial Number...............1A249002C8', ' Manufacturer................001A', ' EC Level.................... D77162', ' Customer Card ID Number.....5774', ' Manufacturer................001', ' FRU Number.................. 00E0807', ' Device Specific.(ZM)........3', ' Network Address.............10000090FA1B2436', ' ROS Level and ID............02E8277F', ' Device Specific.(Z0)........2057706D', ' Device Specific.(Z1)........00000000', ' Device Specific.(Z2)........00000000', ' Device Specific.(Z3)........03000909', ' Device Specific.(Z4)........FFE01212', ' Device Specific.(Z5)........02E8277F', ' Device Specific.(Z6)........06E12715', ' Device Specific.(Z7)........07E1277F', ' Device Specific.(Z8)........20000090FA1B2436', ' Device Specific.(Z9)........ZS2.71X15', ' Device Specific.(ZA)........Z1F2.70A5 ', ' Device Specific.(ZB)........Z2F2.71X15', ' Device Specific.(ZC)........00000000', ' Hardware Location Code......U78AB.001.WZSJH1H-P1-C3-T1', '', ' fcs3 U78AB.001.WZSJH1H-P1-C3-T2 4Gb FC PCI Express Adapter (df1000fe)', '', ' Part Number.................00E0807', ' Serial Number...............1A249002C8', ' Manufacturer................001A', ' EC Level.................... D77162', ' Customer Card ID Number.....5774', ' Manufacturer................001', ' FRU Number.................. 00E0807', ' Device Specific.(ZM)........3', ' Network Address.............10000090FA1B2437', ' ROS Level and ID............02E8277F', ' Device Specific.(Z0)........2057706D', ' Device Specific.(Z1)........00000000', ' Device Specific.(Z2)........00000000', ' Device Specific.(Z3)........03000909', ' Device Specific.(Z4)........FFE01212', ' Device Specific.(Z5)........02E8277F', ' Device Specific.(Z6)........06E12715', ' Device Specific.(Z7)........07E1277F', ' Device Specific.(Z8)........20000090FA1B2437', ' Device Specific.(Z9)........ZS2.71X15', ' Device Specific.(ZA)........Z1F2.70A5 ', ' Device Specific.(ZB)........Z2F2.71X15', ' Device Specific.(ZC)........00000000', ' Hardware Location Code......U78AB.001.WZSJH1H-P1-C3-T2', '', ' fcs0 U78AB.001.WZSJH1H-P1-C2-T1 4Gb FC PCI Express Adapter (df1000fe)', '', ' Part Number.................00E0807', ' Serial Number...............1A2490024E', ' Manufacturer................001A', ' EC Level.................... D77162', ' Customer Card ID Number.....5774', ' Manufacturer................001', ' FRU Number.................. 00E0807', ' Device Specific.(ZM)........3', ' Network Address.............10000090FA1B2874', ' ROS Level and ID............02E8277F', ' Device Specific.(Z0)........2057706D', ' Device Specific.(Z1)........00000000', ' Device Specific.(Z2)........00000000', ' Device Specific.(Z3)........03000909', ' Device Specific.(Z4)........FFE01212', ' Device Specific.(Z5)........02E8277F', ' Device Specific.(Z6)........06E12715', ' Device Specific.(Z7)........07E1277F', ' Device Specific.(Z8)........20000090FA1B2874', ' Device Specific.(Z9)........ZS2.71X15', ' Device Specific.(ZA)........Z1F2.70A5 ', ' Device Specific.(ZB)........Z2F2.71X15', ' Device Specific.(ZC)........00000000', ' Hardware Location Code......U78AB.001.WZSJH1H-P1-C2-T1', '', ' fcs1 U78AB.001.WZSJH1H-P1-C2-T2 4Gb FC PCI Express Adapter (df1000fe)', '', ' Part Number.................00E0807', ' Serial Number...............1A2490024E', ' Manufacturer................001A', ' EC Level.................... D77162', ' Customer Card ID Number.....5774', ' Manufacturer................001', ' FRU Number.................. 00E0807', ' Device Specific.(ZM)........3', ' Network Address.............10000090FA1B2875', ' ROS Level and ID............02E8277F', ' Device Specific.(Z0)........2057706D', ' Device Specific.(Z1)........00000000', ' Device Specific.(Z2)........00000000', ' Device Specific.(Z3)........03000909', ' Device Specific.(Z4)........FFE01212', ' Device Specific.(Z5)........02E8277F', ' Device Specific.(Z6)........06E12715', ' Device Specific.(Z7)........07E1277F', ' Device Specific.(Z8)........20000090FA1B2875', ' Device Specific.(Z9)........ZS2.71X15', ' Device Specific.(ZA)........Z1F2.70A5 ', ' Device Specific.(ZB)........Z2F2.71X15', ' Device Specific.(ZC)........00000000', ' Hardware Location Code......U78AB.001.WZSJH1H-P1-C2-T2', '', '', ' PLATFORM SPECIFIC', '', ' Name: fibre-channel', ' Model: LPe11002', ' Node: fibre-channel@0', ' Device Type: fcp', ' Physical Location: U78AB.001.WZSJH1H-P1-C2-T1', '', ' Name: fibre-channel', ' Model: LPe11002', ' Node: fibre-channel@0,1', ' Device Type: fcp', ' Physical Location: U78AB.001.WZSJH1H-P1-C2-T2', '', ' Name: fibre-channel', ' Model: LPe11002', ' Node: fibre-channel@0', ' Device Type: fcp', ' Physical Location: U78AB.001.WZSJH1H-P1-C3-T1', '', ' Name: fibre-channel', ' Model: LPe11002', ' Node: fibre-channel@0,1', ' Device Type: fcp', ' Physical Location: U78AB.001.WZSJH1H-P1-C3-T2']) wwpn = '10000090FA1B2436' self.assertEqual(self.ivm_opt.get_device_name_by_wwpn(wwpn), 'fcs2') @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.run_command') def test_get_vopt_size(self, mock_run_command): mock_run_command.return_value = ('6515') self.assertEqual(self.ivm_opt.get_vopt_size(), '6515') @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.run_command') def test_get_staging_size(self, mock_run_command): mock_run_command.return_value = (['9613688']) self.assertEqual(self.ivm_opt.get_vopt_size(), ['9613688']) @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.get_actual_lpar_name') @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.run_vios_command') def test_get_lpar_mem(self, mock_run_vios_command, mock_get_actual_lpar_name): lpar_name = 'instane-0000011f' mock_get_actual_lpar_name.return_value = ('instane-0000011f') mock_run_vios_command.return_value = (['lpar_name=instane-0000011f', 'lpar_id=26', 'mem_mode=ded', 'curr_min_mem=512', 'curr_mem=1024', 'curr_max_mem=4096', 'pend_min_mem=512', 'pend_mem=1024', 'pend_max_mem=4096', 'run_min_mem=0', 'run_mem=1024']) self.assertEqual(self.ivm_opt.get_lpar_mem(lpar_name), {'lpar_name': 'instane-0000011f'}) @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.run_vios_command') def test_get_lpar_proc(self, mock_run_vios_command): lpar_name = 'instane-0000011f' mock_run_vios_command.return_value = (['lpar_name=instane-0000011f', 'lpar_id=26', 'curr_shared_proc_pool_id=0', 'curr_proc_mode=shared', ]) self.assertEqual(self.ivm_opt.get_lpar_proc(lpar_name), {'lpar_name': 'instane-0000011f'}) @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.run_command') def test_get_lpar_cpu_util(self, mock_run_command): lpar_id = 26 mock_run_command.return_value = (['128,1,1024', '128,1,1024', '128,1,1024' ]) self.assertEqual(self.ivm_opt.get_lpar_cpu_util(lpar_id), 0) @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.run_command') def test_get_cpu_info_for_lpars(self, mock_run_command): mock_run_command.return_value = (['instance-00000119,shared,0.50,1', 'instance-00000121,shared,0.20,1', 'instance-0000015b,shared,0.50,1', 'instance-00000001,shared,0.50,1']) self.assertEqual(self.ivm_opt.get_cpu_info_for_lpars(), {'instance-00000119': Decimal('0.50'), 'instance-00000121': Decimal('0.20'), 'instance-0000015b': Decimal('0.50'), 'instance-00000001': Decimal('0.50') }) @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.run_command') @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator._calc_cpu_utilization') def test_get_lpar_info(self, mock_calc_cpu_utilization, mock_run_command): lpar_id = 26 mock_run_command.return_value = ['entitled_cycles=283424875907440,capped_cycles=317971615126,uncapped_cycles=18638892330', 'entitled_cycles=283424875907440,capped_cycles=317971615126,uncapped_cycles=18638892330', 'entitled_cycles=283424875907440,capped_cycles=317971615126,uncapped_cycles=18638892330'] mock_calc_cpu_utilization.return_value = (0) self.assertEqual(self.ivm_opt.get_lpar_info(lpar_id), {'capped_cycles': '317971615126', 'curr_cpu_util': '0.0', 'entitled_cycles': '283424875907440', 'uncapped_cycles': '18638892330'}) # @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.run_command') # @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator._calc_cpu_utilization') # def test_get_lpar_info_fault(self, mock_calc_cpu_utilization, mock_run_command): # lpar_id = 26 # ex_args = {'command': 'lslparutil --filter "lpar_ids=26" -n 3 -r lpar', # 'error': ['entitled_cycles=283424875907440,capped_cycles=317971615126,uncapped_cycles=18638892330', # 'entitled_cycles=283424875907440,capped_cycles=317971615126,uncapped_cycles=18638892330'] # } # mock_run_command.return_value = ['entitled_cycles=283424875907440,capped_cycles=317971615126,uncapped_cycles=18638892330', # 'entitled_cycles=283424875907440,capped_cycles=317971615126,uncapped_cycles=18638892330'] # mock_calc_cpu_utilization.return_value = (0) # self.assertRaises(self.rasis.IBMPowerVMCommandFailed, self.ivm_opt.get_lpar_info(lpar_id), ex_args) @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.run_command') def test_get_disk_names_for_vhost(self, mock_run_command): vhost = 'vhost1' mock_run_command.return_value = (['0x8200000000000000:/var/vio/VMLibrary/c53b6b58-4eca-8e90-c3e9e0f0babb:0x8100000000000000:lv16']) self.assertEqual(self.ivm_opt.get_disk_names_for_vhost(vhost, local=True), ['lv16']) @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.run_command') def test_get_hdisk_reserve_policy(self, mock_run_command): diskname = 'hdisk4' mock_run_command.return_value = (['value', ' ', 'no_reserve']) self.assertEqual(self.ivm_opt.get_hdisk_reserve_policy(diskname), 'no_reserve') @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.run_command') def test_get_management_sys_name(self, mock_run_command): mock_run_command.return_value = (['Server-8246-L2D-SN06052EA']) self.assertEqual(self.ivm_opt.get_management_sys_name(), 'Server-8246-L2D-SN06052EA') @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.get_actual_lpar_name') @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.run_command') def test_get_refcode(self, mock_run_command, mock_get_actual_lpar_name): instance_name = 'instance-0000011f' mock_run_command.return_value = (['Linux ppc64,04/09/2015 10:44:57']) mock_get_actual_lpar_name.return_value = ('instance-0000011f') self.assertEqual(self.ivm_opt.get_refcode(instance_name), 'Linux ppc64') @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.get_actual_lpar_name') @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.run_command') def test_get_live_migration_state(self, mock_run_command, mock_get_actual_lpar_name): inst_name = 'instance-0000011f' mock_run_command.return_value = (['Not Migrating']) mock_get_actual_lpar_name.return_value = ('instance-0000011f') self.assertEqual(self.ivm_opt.get_live_migration_state(inst_name), 'Not Migrating') @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.run_command') def test_get_lpar_proc_compat_modes(self, mock_run_command): mock_run_command.return_value = (['"default,POWER6,POWER6+,POWER7"']) self.assertEqual(self.ivm_opt.get_lpar_proc_compat_modes(), ['default', 'POWER6', 'POWER6+', 'POWER7']) @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.get_actual_lpar_name') @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.run_vios_command') def test_get_curr_and_desired_proc_compat_modes(self, mock_run_vios_command, mock_get_actual_lpar_name): instance_name = 'instance-0000011f' mock_run_vios_command.return_value = (['POWER7,default']) mock_get_actual_lpar_name.return_value = ('instance-0000011f') self.assertEqual(self.ivm_opt.get_curr_and_desired_proc_compat_modes(instance_name), ['POWER7', 'default']) @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.get_actual_lpar_name') @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.run_vios_command') def test_get_lpar_operating_system(self, mock_run_vios_command, mock_get_actual_lpar_name): instance_name = 'instance-0000011f' mock_run_vios_command.return_value = (['0.0.0.0.0.0']) mock_get_actual_lpar_name.return_value = ('instance-0000011f') self.assertEqual(self.ivm_opt.get_curr_and_desired_proc_compat_modes(instance_name), ['0.0.0.0.0.0']) def test_get_disk_names_for_vhost_frm_dict(self): vhost_id = 3 disk_dict = {1:'15', 2:'80', 3:'123'} self.assertEqual(self.ivm_opt.get_disk_names_for_vhost_frm_dict(vhost_id, disk_dict), []) @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.run_command') def test_get_disk_uid_by_name(self, mock_run_command): disk_name = 'hdisk3' mock_run_command.return_value = (['332136005076300818001A000000000000D4F04214503IBMfcp']) self.assertEqual(self.ivm_opt.get_disk_uid_by_name(disk_name), '6005076300818001A000000000000D4F') @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.get_disk_names_for_vhost_frm_dict') @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.get_disk_uid_by_name') def test_get_volumes_by_vhost_from_dict(self, mock_get_disk_uid_by_name, mock_get_disk_names_for_vhost_frm_dict): vhost_id = 3 disk_dict = {1:'15', 2:'80', 3:'123'} mock_get_disk_uid_by_name.return_value = ('6005076300818001A000000000000D4F') mock_get_disk_names_for_vhost_frm_dict.return_value = ([]) self.assertEqual(self.ivm_opt.get_volumes_by_vhost_from_dict(vhost_id, disk_dict), []) @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.run_vios_command') def test_get_vhost_by_instance_id(self, mock_run_vios_command): instance_id = 17 mock_run_vios_command.return_value = (['vhost15']) self.assertEqual(self.ivm_opt.get_vhost_by_instance_id(instance_id), 'vhost15') @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.run_command') @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator._get_all_virt_slots_in_use') def test_get_num_reserved_in_use_vios_slots(self, mock__get_all_virt_slots_in_use, mock_run_command): managed_lpar_names = ['06-052EA', '06-052EB'] mock_run_command.return_value = (['0,serial', '1,serial', '2,scsi', '3,reserved', '32,eth']) mock__get_all_virt_slots_in_use.return_value = (1) self.assertEqual(self.ivm_opt.get_num_reserved_in_use_vios_slots(managed_lpar_names), (4, 1)) def test_get_volume_aix_conn_info(self): volume_data = {'target_wwn': ['10000090FA1B2436', '10000090FA1B2437', '10000090FA1B2874', '10000090FA1B2875'], 'target_lun': '10'} self.assertEqual(self.ivm_opt.get_volume_aix_conn_info(volume_data), ['10000090fa1b2436,a000000000000', '10000090fa1b2437,a000000000000', '10000090fa1b2874,a000000000000', '10000090fa1b2875,a000000000000']) @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.run_command') def test_get_devname_by_aix_conn(self, mock_run_command): conn_info = ['5005076803080067,2000000000000'] mock_run_command.return_value = (['Enabled:hdisk4:fscsi2:5005076803080067,2000000000000']) self.assertEqual(self.ivm_opt.get_devname_by_aix_conn(conn_info), {'device_name': 'hdisk4'}) @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.run_command') def test_get_fcs_parent_devices(self, mock_run_command): mock_run_command.return_value = (['pci4:fcs0', 'pci4:fcs1', 'pci5:fcs2', 'pci5:fcs3']) self.assertEqual(self.ivm_opt.get_fcs_parent_devices(), {'pci4': ['fcs0', 'fcs1'], 'pci5': ['fcs2', 'fcs3']}) @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.run_interactive') def test_get_fcs_device_names(self, mock_run_interactive): wwpns = ['10000090FA1B2436', '10000090FA1B2437', '10000090FA1B2874', '10000090FA1B2875'] mock_run_interactive.return_value = ([' fcs2 U78AB.001.WZSJH1H-P1-C3-T1 4Gb FC PCI Express Adapter (df1000fe)', '', ' Part Number.................00E0807', ' Serial Number...............1A249002C8', ' Manufacturer................001A', ' EC Level.................... D77162', ' Customer Card ID Number.....5774', ' Manufacturer................001', ' FRU Number.................. 00E0807', ' Device Specific.(ZM)........3', ' Network Address.............10000090FA1B2436', ' ROS Level and ID............02E8277F', ' Device Specific.(Z0)........2057706D', ' Device Specific.(Z1)........00000000', ' Device Specific.(Z2)........00000000', ' Device Specific.(Z3)........03000909', ' Device Specific.(Z4)........FFE01212', ' Device Specific.(Z5)........02E8277F', ' Device Specific.(Z6)........06E12715', ' Device Specific.(Z7)........07E1277F', ' Device Specific.(Z8)........20000090FA1B2436', ' Device Specific.(Z9)........ZS2.71X15', ' Device Specific.(ZA)........Z1F2.70A5 ', ' Device Specific.(ZB)........Z2F2.71X15', ' Device Specific.(ZC)........00000000', ' Hardware Location Code......U78AB.001.WZSJH1H-P1-C3-T1', '', ' fcs3 U78AB.001.WZSJH1H-P1-C3-T2 4Gb FC PCI Express Adapter (df1000fe)', '', ' Part Number.................00E0807', ' Serial Number...............1A249002C8', ' Manufacturer................001A', ' EC Level.................... D77162', ' Customer Card ID Number.....5774', ' Manufacturer................001', ' FRU Number.................. 00E0807', ' Device Specific.(ZM)........3', ' Network Address.............10000090FA1B2437', ' ROS Level and ID............02E8277F', ' Device Specific.(Z0)........2057706D', ' Device Specific.(Z1)........00000000', ' Device Specific.(Z2)........00000000', ' Device Specific.(Z3)........03000909', ' Device Specific.(Z4)........FFE01212', ' Device Specific.(Z5)........02E8277F', ' Device Specific.(Z6)........06E12715', ' Device Specific.(Z7)........07E1277F', ' Device Specific.(Z8)........20000090FA1B2437', ' Device Specific.(Z9)........ZS2.71X15', ' Device Specific.(ZA)........Z1F2.70A5 ', ' Device Specific.(ZB)........Z2F2.71X15', ' Device Specific.(ZC)........00000000', ' Hardware Location Code......U78AB.001.WZSJH1H-P1-C3-T2', '', ' fcs0 U78AB.001.WZSJH1H-P1-C2-T1 4Gb FC PCI Express Adapter (df1000fe)', '', ' Part Number.................00E0807', ' Serial Number...............1A2490024E', ' Manufacturer................001A', ' EC Level.................... D77162', ' Customer Card ID Number.....5774', ' Manufacturer................001', ' FRU Number.................. 00E0807', ' Device Specific.(ZM)........3', ' Network Address.............10000090FA1B2874', ' ROS Level and ID............02E8277F', ' Device Specific.(Z0)........2057706D', ' Device Specific.(Z1)........00000000', ' Device Specific.(Z2)........00000000', ' Device Specific.(Z3)........03000909', ' Device Specific.(Z4)........FFE01212', ' Device Specific.(Z5)........02E8277F', ' Device Specific.(Z6)........06E12715', ' Device Specific.(Z7)........07E1277F', ' Device Specific.(Z8)........20000090FA1B2874', ' Device Specific.(Z9)........ZS2.71X15', ' Device Specific.(ZA)........Z1F2.70A5 ', ' Device Specific.(ZB)........Z2F2.71X15', ' Device Specific.(ZC)........00000000', ' Hardware Location Code......U78AB.001.WZSJH1H-P1-C2-T1', '', ' fcs1 U78AB.001.WZSJH1H-P1-C2-T2 4Gb FC PCI Express Adapter (df1000fe)', '', ' Part Number.................00E0807', ' Serial Number...............1A2490024E', ' Manufacturer................001A', ' EC Level.................... D77162', ' Customer Card ID Number.....5774', ' Manufacturer................001', ' FRU Number.................. 00E0807', ' Device Specific.(ZM)........3', ' Network Address.............10000090FA1B2875', ' ROS Level and ID............02E8277F', ' Device Specific.(Z0)........2057706D', ' Device Specific.(Z1)........00000000', ' Device Specific.(Z2)........00000000', ' Device Specific.(Z3)........03000909', ' Device Specific.(Z4)........FFE01212', ' Device Specific.(Z5)........02E8277F', ' Device Specific.(Z6)........06E12715', ' Device Specific.(Z7)........07E1277F', ' Device Specific.(Z8)........20000090FA1B2875', ' Device Specific.(Z9)........ZS2.71X15', ' Device Specific.(ZA)........Z1F2.70A5 ', ' Device Specific.(ZB)........Z2F2.71X15', ' Device Specific.(ZC)........00000000', ' Hardware Location Code......U78AB.001.WZSJH1H-P1-C2-T2', '', '', ' PLATFORM SPECIFIC', '', ' Name: fibre-channel', ' Model: LPe11002', ' Node: fibre-channel@0', ' Device Type: fcp', ' Physical Location: U78AB.001.WZSJH1H-P1-C2-T1', '', ' Name: fibre-channel', ' Model: LPe11002', ' Node: fibre-channel@0,1', ' Device Type: fcp', ' Physical Location: U78AB.001.WZSJH1H-P1-C2-T2', '', ' Name: fibre-channel', ' Model: LPe11002', ' Node: fibre-channel@0', ' Device Type: fcp', ' Physical Location: U78AB.001.WZSJH1H-P1-C3-T1', '', ' Name: fibre-channel', ' Model: LPe11002', ' Node: fibre-channel@0,1', ' Device Type: fcp', ' Physical Location: U78AB.001.WZSJH1H-P1-C3-T2']) self.assertEqual(self.ivm_opt.get_fcs_device_names(wwpns), ['fcs2', 'fcs3', 'fcs0', 'fcs1']) @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.run_command') def test_get_disk_name_by_volume_uid(self, mock_run_command): uid = 'D5304214503' mock_run_command.return_value = (['hdisk4:332136005076300818001A000000000000D5304214503IBMfcp']) self.assertEqual(self.ivm_opt.get_disk_name_by_volume_uid(uid), 'hdisk4') @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.run_command') def test_get_lpar_max_virtual_slots(self, mock_run_command): lpar_id = '26' mock_run_command.return_value = ([64]) self.assertEqual(self.ivm_opt.get_lpar_max_virtual_slots(lpar_id), 64) @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.get_lpar_max_virtual_slots') def test_get_vios_max_virt_slots(self, mock_get_lpar_max_virtual_slots): mock_get_lpar_max_virtual_slots.return_value = (64) self.assertEqual(self.ivm_opt.get_vios_max_virt_slots(), 64) @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.run_command') def test_get_hyp_capability(self, mock_run_command): mock_run_command.return_value = (["active_lpar_mobility_capable,inactive_lpar_mobility_capable,cod_proc_capable,vet_activation_capable,shared_proc_capable,active_lpar_share_idle_procs_capable,micro_lpar_capable,dlpar_mem_capable,assign_phys_io_capable,lpar_avail_priority_capable,lpar_proc_compat_mode_capable,virtual_fc_capable,active_mem_sharing_capable"]) self.assertEqual(self.ivm_opt.get_hyp_capability(), {'active_lpar_mobility_capable': True, 'inactive_lpar_mobility_capable': True}) @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.run_command') def test_get_migration_stats(self, mock_run_command): mock_run_command.return_value = (['64,8,0,0']) self.assertEqual(self.ivm_opt.get_migration_stats(), {'inactv_migr_sup': 64, 'actv_migr_supp': 8, 'inactv_migr_prg': 0, 'actv_migr_prg': 0}) @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.run_command') def test_get_inactv_migration_stats(self, mock_run_command): mock_run_command.return_value = (['64,0']) self.assertEqual(self.ivm_opt.get_inactv_migration_stats(), {'inactv_migr_sup': 64, 'inactv_migr_prg': 0}) @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.run_command') def test_get_actv_migration_stats(self, mock_run_command): mock_run_command.return_value = (['8,0']) self.assertEqual(self.ivm_opt.get_actv_migration_stats(), {'actv_migr_supp': 8, 'actv_migr_prg': 0}) @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.run_command') def test_check_vopt_exists(self, mock_run_command): name = 'RHEL6.5-2013-Server-ppc64-DVD.iso' mock_run_command.return_value = (['10d2f623-4225-45ec-bc46-4b98ab7c65b3', '61702c3b-001b-4311-850e-cab2f016add1', '6c0ec0e7-7655-4932-bcca-cb30a6356fab', '6df387ae-6be8-40b8-a1d2-6d3633a0fc24', '753ce55f-4983-4e7e-99c0-ce7e497f559f', '8354e5a1-91dd-47fd-b3a0-7cf8f057cb43', '8354e5a1-91dd-47fd-b3a0-7cf8f057cb43', 'RHEL-7.0-20140507.0-Server-ppc64-dvd1.iso', 'RHEL6.4-20130130.0-Server-ppc64-DVD1.', 'RHEL6.5-2013-Server-ppc64-DVD.iso', 'RHEL6.5-2013-Server-ppc64-DVD.iso', 'RHEL6.5-2013-Server-ppc64-DVD.iso', 'RHEL6.5-2013-Server-ppc64-DVD.iso', 'RHEL6.5-2013-Server-ppc64-DVD.iso', 'RHEL6.5-2013-Server-ppc64-DVD.iso', 'RHEL6.5-2013-Server-ppc64-DVD.iso', 'RHEL6.5-2013-Server-ppc64-DVD.iso', 'RHEL6.5-2013-Server-ppc64-DVD.iso', 'RHEL6.5-2013-Server-ppc64-DVD.iso', 'RHEL6.5-2013-Server-ppc64-DVD.iso', 'b3ec3547-307d-4a58-9c69-4955f6df2059', 'c53b6b58-e6f3-4eca-8e90-c3e9e0f0babb', 'd0ed1883-2812-4513-b3f5-092ee8adecd3', 'e4efe10b-34e6-4bb2-b139-0d9a54e55456', 'fdf9b77e-e62c-4fc6-a52a-c355217adaea', 'fdf9b77e-e62c-4fc6-a52a-c355217adaea', 'vopt_06a5f3344fd1402d9bf5bc2c2a5bff41', 'vopt_1e4ea2dd2afa46e89fd0a3234336157e', 'vopt_2a37ccafa8f343a2a08ef119d7b7513b', 'vopt_36e1d56b897946d78293a4594362b884', 'vopt_53de1f8e17d44c1395c4c9b3a4d603fe', 'vopt_59e46a072d484fd9a8c5cdded8214aa4', 'vopt_5e6b50fa0c7e4befa2a537706544e07b', 'vopt_60056ead188a447fbbf51f0dc416627f', 'vopt_6490f79f8e2049018e817fdb75a2cc79', 'vopt_6572e1870a9a4b4993f34aae5d351e4d', 'vopt_7c3085768c9e4a0ab796fa7148b58824', 'vopt_83f111feb8464f5aa0e2702d9cad54ae', 'vopt_c1e896b6656f4c94a70036ae4c518795', 'vopt_d0fd2eed31034148a54659b2987e5ded', ]) self.assertEqual(self.ivm_opt.check_vopt_exists(name), True) @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.run_vios_command') def test_prepare_vhost_dev_lun_dict(self, mock_run_vios_command): mock_run_vios_command.return_value = (['vhost0:0x00000002:0x8200000000000000:/var/vio/VMLibrary/RHEL6.5-2013-Server-ppc64-DVD.iso:0x8100000000000000:lp2vd2', 'vhost1:0x00000003:0x8200000000000000: :0x8100000000000000:lv02', 'vhost2:0x00000004:0x8200000000000000: :0x8100000000000000:lv00', 'vhost3:0x00000005:0x8200000000000000:/var/vio/VMLibrary/RHEL6.4-20130130.0-Server-ppc64-DVD1.:0x8100000000000000:lv01', 'vhost4:0x00000006:0x8200000000000000:/var/vio/VMLibrary/RHEL6.5-2013-Server-ppc64-DVD.iso:0x8100000000000000:lv04:0x8300000000000000:lv04_ext', 'vhost5:0x00000007:0x8200000000000000:/var/vio/VMLibrary/RHEL6.5-2013-Server-ppc64-DVD.iso:0x8100000000000000:lv05', 'vhost6:0x0000000f:0x8200000000000000:/var/vio/VMLibrary/dc5e181d-797d-4e89-8b72-05e6d87519d5:0x8100000000000000:lv20', 'vhost7:0x00000008:0x8200000000000000:/var/vio/VMLibrary/RHEL6.5-2013-Server-ppc64-DVD.iso:0x8100000000000000:lp8vd1', 'vhost8:0x0000000a:0x8200000000000000:/var/vio/VMLibrary/RHEL6.5-2013-Server-ppc64-DVD.iso:0x8100000000000000:lp10vd1', 'vhost10:0x0000000b:0x8200000000000000:/var/vio/VMLibrary/vopt_83f111feb8464f5aa0e2702d9cad54ae:0x8100000000000000:lv03', 'vhost11:0x0000000d:0x8200000000000000:/var/vio/VMLibrary/RHEL6.5-2013-Server-ppc64-DVD.iso:0x8100000000000000:lp13vd1', 'vhost12:0x0000000c:0x8200000000000000:/var/vio/VMLibrary/vopt_d0fd2eed31034148a54659b2987e5ded:0x8100000000000000:lv09', 'vhost13:0x0000000e:0x8200000000000000:/var/vio/VMLibrary/8354e5a1-91dd-47fd-b3a0-7cf8f057cb43:0x8100000000000000:lv14', 'vhost14:0x00000010:0x8200000000000000:/var/vio/VMLibrary/RHEL6.5-2013-Server-ppc64-DVD.iso:0x8100000000000000:lp16vd1', 'vhost15:0x00000011:0x8200000000000000:/var/vio/VMLibrary/e4efe10b-34e6-4bb2-b139-0d9a54e55456:0x8100000000000000:lv11', 'vhost16:0x00000012:0x8200000000000000:/var/vio/VMLibrary/6c0ec0e7-7655-4932-bcca-cb30a6356fab:0x8100000000000000:lv10', 'vhost17:0x00000013:0x8200000000000000:/var/vio/VMLibrary/8354e5a1-91dd-47fd-b3a0-7cf8f057cb43:0x8100000000000000:lv13', 'vhost18:0x00000014:0x8200000000000000:/var/vio/VMLibrary/RHEL6.5-2013-Server-ppc64-DVD.iso:0x8100000000000000:lp20vd1', 'vhost19:0x00000015:0x8200000000000000:/var/vio/VMLibrary/RHEL6.5-2013-Server-ppc64-DVD.iso:0x8100000000000000:lp21vd1', 'vhost21:0x00000017:0x8200000000000000:/var/vio/VMLibrary/RHEL6.5-2013-Server-ppc64-DVD.iso:0x8100000000000000:test-paxes', 'vhost22:0x00000018:0x8200000000000000:/var/vio/VMLibrary/b0d6fcc9-85ee-464e-af68-afdb921701af:0x8100000000000000:lv12', 'vhost23:0x00000019:0x8200000000000000:/var/vio/VMLibrary/RHEL-7.0-20140507.0-Server-ppc64-dvd1.iso:0x8100000000000000:lp25vd1', 'vhost24:0x0000001a:0x8200000000000000:/var/vio/VMLibrary/RHEL6.5-2013-Server-ppc64-DVD.iso:0x8100000000000000:lv06', 'vhost25:0x0000001b:0x8200000000000000:/var/vio/VMLibrary/c53b6b58-e6f3-4eca-8e90-c3e9e0f0babb:0x8100000000000000:lv16', 'vhost26:0x0000001c:0x8100000000000000:/var/vio/VMLibrary/fdf9b77e-e62c-4fc6-a52a-c355217adaea:0x8200000000000000:hdisk3', 'vhost27:0x0000001d:0x8100000000000000:/var/vio/VMLibrary/fdf9b77e-e62c-4fc6-a52a-c355217adaea:0x8200000000000000:hdisk4', ]) self.assertEqual(self.ivm_opt.prepare_vhost_dev_lun_dict(), ({'vhost0': ['0x8200000000000000', '/var/vio/VMLibrary/RHEL6.5-2013-Server-ppc64-DVD.iso', '0x8100000000000000', 'lp2vd2'], 'vhost1': ['0x8200000000000000', ' ', '0x8100000000000000', 'lv02'], 'vhost10': ['0x8200000000000000', '/var/vio/VMLibrary/vopt_83f111feb8464f5aa0e2702d9cad54ae', '0x8100000000000000', 'lv03'], 'vhost11': ['0x8200000000000000', '/var/vio/VMLibrary/RHEL6.5-2013-Server-ppc64-DVD.iso', '0x8100000000000000', 'lp13vd1'], 'vhost12': ['0x8200000000000000', '/var/vio/VMLibrary/vopt_d0fd2eed31034148a54659b2987e5ded', '0x8100000000000000', 'lv09'], 'vhost13': ['0x8200000000000000', '/var/vio/VMLibrary/8354e5a1-91dd-47fd-b3a0-7cf8f057cb43', '0x8100000000000000', 'lv14'], 'vhost14': ['0x8200000000000000', '/var/vio/VMLibrary/RHEL6.5-2013-Server-ppc64-DVD.iso', '0x8100000000000000', 'lp16vd1'], 'vhost15': ['0x8200000000000000', '/var/vio/VMLibrary/e4efe10b-34e6-4bb2-b139-0d9a54e55456', '0x8100000000000000', 'lv11'], 'vhost16': ['0x8200000000000000', '/var/vio/VMLibrary/6c0ec0e7-7655-4932-bcca-cb30a6356fab', '0x8100000000000000', 'lv10'], 'vhost17': ['0x8200000000000000', '/var/vio/VMLibrary/8354e5a1-91dd-47fd-b3a0-7cf8f057cb43', '0x8100000000000000', 'lv13'], 'vhost18': ['0x8200000000000000', '/var/vio/VMLibrary/RHEL6.5-2013-Server-ppc64-DVD.iso', '0x8100000000000000', 'lp20vd1'], 'vhost19': ['0x8200000000000000', '/var/vio/VMLibrary/RHEL6.5-2013-Server-ppc64-DVD.iso', '0x8100000000000000', 'lp21vd1'], 'vhost2': ['0x8200000000000000', ' ', '0x8100000000000000', 'lv00'], 'vhost21': ['0x8200000000000000', '/var/vio/VMLibrary/RHEL6.5-2013-Server-ppc64-DVD.iso', '0x8100000000000000', 'test-paxes'], 'vhost22': ['0x8200000000000000', '/var/vio/VMLibrary/b0d6fcc9-85ee-464e-af68-afdb921701af', '0x8100000000000000', 'lv12'], 'vhost23': ['0x8200000000000000', '/var/vio/VMLibrary/RHEL-7.0-20140507.0-Server-ppc64-dvd1.iso', '0x8100000000000000', 'lp25vd1'], 'vhost24': ['0x8200000000000000', '/var/vio/VMLibrary/RHEL6.5-2013-Server-ppc64-DVD.iso', '0x8100000000000000', 'lv06'], 'vhost25': ['0x8200000000000000', '/var/vio/VMLibrary/c53b6b58-e6f3-4eca-8e90-c3e9e0f0babb', '0x8100000000000000', 'lv16'], 'vhost26': ['0x8100000000000000', '/var/vio/VMLibrary/fdf9b77e-e62c-4fc6-a52a-c355217adaea', '0x8200000000000000', 'hdisk3'], 'vhost27': ['0x8100000000000000', '/var/vio/VMLibrary/fdf9b77e-e62c-4fc6-a52a-c355217adaea', '0x8200000000000000', 'hdisk4'], 'vhost3': ['0x8200000000000000', '/var/vio/VMLibrary/RHEL6.4-20130130.0-Server-ppc64-DVD1.', '0x8100000000000000', 'lv01'], 'vhost4': ['0x8200000000000000', '/var/vio/VMLibrary/RHEL6.5-2013-Server-ppc64-DVD.iso', '0x8100000000000000', 'lv04', '0x8300000000000000', 'lv04_ext'], 'vhost5': ['0x8200000000000000', '/var/vio/VMLibrary/RHEL6.5-2013-Server-ppc64-DVD.iso', '0x8100000000000000', 'lv05'], 'vhost6': ['0x8200000000000000', '/var/vio/VMLibrary/dc5e181d-797d-4e89-8b72-05e6d87519d5', '0x8100000000000000', 'lv20'], 'vhost7': ['0x8200000000000000', '/var/vio/VMLibrary/RHEL6.5-2013-Server-ppc64-DVD.iso', '0x8100000000000000', 'lp8vd1'], 'vhost8': ['0x8200000000000000', '/var/vio/VMLibrary/RHEL6.5-2013-Server-ppc64-DVD.iso', '0x8100000000000000', 'lp10vd1']}, {'0x00000002': 'vhost0', '0x00000003': 'vhost1', '0x00000004': 'vhost2', '0x00000005': 'vhost3', '0x00000006': 'vhost4', '0x00000007': 'vhost5', '0x00000008': 'vhost7', '0x0000000a': 'vhost8', '0x0000000b': 'vhost10', '0x0000000c': 'vhost12', '0x0000000d': 'vhost11', '0x0000000e': 'vhost13', '0x0000000f': 'vhost6', '0x00000010': 'vhost14', '0x00000011': 'vhost15', '0x00000012': 'vhost16', '0x00000013': 'vhost17', '0x00000014': 'vhost18', '0x00000015': 'vhost19', '0x00000017': 'vhost21', '0x00000018': 'vhost22', '0x00000019': 'vhost23', '0x0000001a': 'vhost24', '0x0000001b': 'vhost25', '0x0000001c': 'vhost26', '0x0000001d': 'vhost27'})) @mock.patch('paxes_nova.virt.ibmpowervm.ivm.operator.IVMOperator.run_command') def test_check_dlpar_connectivity(self, mock_run_command): instance_name = 'instance-0000011f' mock_run_command.return_value = (['0,0,none']) self.assertEqual(self.ivm_opt.check_dlpar_connectivity(instance_name), (True, 'none'))

84.035398

366

0.442291

4,261

56,976

5.696315

0.116874

0.064601

0.030282

0.045485

0.801664

0.762566

0.724827

0.697512

0.683092

0.64457

0

0.208106

0.434429

56,976

678

367

84.035398

0.545122

0.019043

0

0.541118

0

0.041118

0.425286

0.285487

0

0.0441

0

0.060855

1

0.064145

false

0

0.011513

0

0.077303

0

null

0

1

0

1

0

1

0

null

0

5

d2d48afb38c3513564e173a928d15347b6a0ee32

45

py

Python

temphelpers/__init__.py

wtsi-hgi/python-temp-helpers

bce5760df0d0b551d36c8f3cc222ff16ea6e0b8e

[ "MIT" ]

null

temphelpers/__init__.py

wtsi-hgi/python-temp-helpers

bce5760df0d0b551d36c8f3cc222ff16ea6e0b8e

[ "MIT" ]

null

temphelpers/__init__.py

wtsi-hgi/python-temp-helpers

bce5760df0d0b551d36c8f3cc222ff16ea6e0b8e

[ "MIT" ]

null

from temphelpers.managers import TempManager

22.5

44

0.888889

5

45

8

1

0

0.088889

45

1

45

0.97561

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

961414305224778c497c11c3bc9922b93c81a90c

141

py

Python

wbo-manuscript-figures/kinase_inhibitors_wbos/data_generation/visualize_kinase_inhibitors.py

choderalab/fragmenter_examples

01d63aea340e91f8cbb3a21253a906a0c3c66da3

[ "MIT" ]

null

wbo-manuscript-figures/kinase_inhibitors_wbos/data_generation/visualize_kinase_inhibitors.py

choderalab/fragmenter_examples

01d63aea340e91f8cbb3a21253a906a0c3c66da3

[ "MIT" ]

null

wbo-manuscript-figures/kinase_inhibitors_wbos/data_generation/visualize_kinase_inhibitors.py

choderalab/fragmenter_examples

01d63aea340e91f8cbb3a21253a906a0c3c66da3

[ "MIT" ]

null

import fragmenter oemols = fragmenter.chemi.file_to_oemols('kinase_inhibitors.smi') fragmenter.chemi.to_pdf(oemols, 'kinase_inhibitors.pdf')

35.25

65

0.836879

19

141

5.947368

0.526316

0.265487

0.389381

0

0.049645

141

4

66

35.25

0.843284

0

0.295775

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

5

827bf419a623e5abe9086a5cebc93e284ad78eac

153

py

Python

todo/api/admin.py

abhayhk2001/Django-Todo

327e87ead1f227ee711515bfcbc126bd20e0a9b1

[ "MIT" ]

null

todo/api/admin.py

abhayhk2001/Django-Todo

327e87ead1f227ee711515bfcbc126bd20e0a9b1

[ "MIT" ]

null

todo/api/admin.py

abhayhk2001/Django-Todo

327e87ead1f227ee711515bfcbc126bd20e0a9b1

[ "MIT" ]

null

from django.contrib import admin from .models import Task, Context # Register your models here. admin.site.register(Task,) admin.site.register(Context)

21.857143

33

0.797386

22

153

5.545455

0.545455

0.147541

0.278689

0

0.111111

153

6

34

25.5

0.897059

0.169935

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

82dcb8d049dfd61acd1521318303495ec67c9896

162

py

Python

parts/edag_opto.py

baryluk/edag

675107e2078bcecb30768a5e96c7431104352024

[ "BSL-1.0" ]

null

parts/edag_opto.py

baryluk/edag

675107e2078bcecb30768a5e96c7431104352024

[ "BSL-1.0" ]

null

parts/edag_opto.py

baryluk/edag

675107e2078bcecb30768a5e96c7431104352024

[ "BSL-1.0" ]

null

#!/usr/bin/env python3 # The basic LEDs are in edag_components.py # Here more specialized parts and opto-isolators are available. # opto isolators "AQY212GS"

16.2

63

0.759259

24

162

5.083333

0.875

0.213115

0

0.029412

0.160494

162

9

64

18

0.867647

0.91358

0

0.444444

0

1

0

true

0

1

0

null

1

0

1

0

1

0

null

0

1

0

5

7d69649fc8f785622daff03a9b8638532222f9ef

361

py

Python

github_revision/settings.py

watchdogpolska/django-github-revision

e0c216f6a16f2336f17306e8d6820eddcecab746

[ "MIT" ]

null

github_revision/settings.py

watchdogpolska/django-github-revision

e0c216f6a16f2336f17306e8d6820eddcecab746

[ "MIT" ]

null

github_revision/settings.py

watchdogpolska/django-github-revision

e0c216f6a16f2336f17306e8d6820eddcecab746

[ "MIT" ]

null

from django.conf import settings REPO_URL = getattr(settings, 'GITHUB_REVISION_REPO_URL') BRANCH = getattr(settings, 'GITHUB_REVISION_BRANCH', 'master') FORMAT_URL = getattr(settings, 'GITHUB_REVISION_FORMAT_URL', "{repo_url}/compare/{revision_id}...{branch}") REVISION_BACKEND = getattr(settings, 'GITHUB_REVISION_BACKEND', 'github_revision.backends.auto')

40.111111

107

0.797784

45

361

6.044444

0.4

0.257353

0.308824

0.426471

0.235294

0

0.072022

361

9

108

40.111111

0.81194

0

0.477901

0.461326

0

1

0

false

0

0.2

0

0.2

0

null

1

0

1

0

1

null

0

5

7d93e98e45090d2257fcf16278a229c3e8167bea

93

py

Python

libsimba/__init__.py

SIMBAChain/libsimba.py-platform

a815105a5ed84564c7eafbe01281473cebfb44e5

[ "MIT" ]

null

libsimba/__init__.py

SIMBAChain/libsimba.py-platform

a815105a5ed84564c7eafbe01281473cebfb44e5

[ "MIT" ]

2

2022-02-25T05:03:13.000Z

2022-03-09T13:56:56.000Z

libsimba/__init__.py

SIMBAChain/libsimba.py-platform

a815105a5ed84564c7eafbe01281473cebfb44e5

[ "MIT" ]

null

from .simba import Simba from .simba_async import SimbaAsync from .utils import SearchFilter

23.25

35

0.83871

13

93

5.923077

0.538462

0.233766

0

0.129032

93

3

36

31

0.950617

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

7db61334e349e9eb86b77f6c59bf7e9d2db74c2d

310

py

Python

tests/test_entrypoint.py

Edward-Knight/option6

2948695eb8ff1b22fa2ce9c04f85b736bc98d8c2

[ "MIT" ]

1

2021-02-08T23:20:59.000Z

tests/test_entrypoint.py

Edward-Knight/option6

2948695eb8ff1b22fa2ce9c04f85b736bc98d8c2

[ "MIT" ]

1

2021-02-09T10:51:23.000Z

tests/test_entrypoint.py

Edward-Knight/option6

2948695eb8ff1b22fa2ce9c04f85b736bc98d8c2

[ "MIT" ]

null

"""Test the entry point exposed by this module.""" import subprocess def test_help(): subprocess.check_call(["option6", "--help"]) def test_version(): subprocess.check_call(["option6", "--version"]) def test_module_interface(): subprocess.check_call(["python", "-m", "option6", "--version"])

20.666667

67

0.674194

37

310

5.459459

0.513514

0.10396

0.282178

0.257426

0

0.011194

0.135484

310

14

68

22.142857

0.742537

0.141935

0

0.203846

0

1

0.428571

true

0

0.142857

0

0.571429

0

null

0

1

0

null

0

1

0

1

0

5

7dc2412d2136b78bea0f4aaefd10b1e5df4cc9eb

58

py

Python

learning/fastbook/src/mnist_model.py

kaipak/ml-experiments

3727a9fc9a03f4db0e886cc317a466709b0a4572

[ "MIT" ]

null

learning/fastbook/src/mnist_model.py

kaipak/ml-experiments

3727a9fc9a03f4db0e886cc317a466709b0a4572

[ "MIT" ]

null

learning/fastbook/src/mnist_model.py

kaipak/ml-experiments

3727a9fc9a03f4db0e886cc317a466709b0a4572

[ "MIT" ]

null

from fastai.vision.all import * from fastbook import *

9.666667

31

0.741379

8

58

5.375

0.75

0

0.189655

58

5

32

11.6

0.914894

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

7dca075ca3fcb02b9ef8368de36a1aaf12c1b804

65

py

Python

PythonAPI/scripts/draw_graphs.py

MaisJamal/Apollo-BT-GP

4d8d721fa16b67e7ecefdd05d937b1153c000d63

[ "Apache-2.0" ]

null

PythonAPI/scripts/draw_graphs.py

MaisJamal/Apollo-BT-GP

4d8d721fa16b67e7ecefdd05d937b1153c000d63

[ "Apache-2.0" ]

null

PythonAPI/scripts/draw_graphs.py

MaisJamal/Apollo-BT-GP

4d8d721fa16b67e7ecefdd05d937b1153c000d63

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 import math import time import os

7.222222

22

0.676923

10

65

4.4

0.8

0

0.020408

0.246154

65

8

23

8.125

0.877551

0.323077

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

814ec7efa2ab7d2ec1524157137418e08d5767cf

60

py

Python

HumeanPoseEstimate/data/coco_data.py

YuHe0108/cvmodule

ea00a90fc9bbca5b2c7809791cbd1f7b0da526cd

[ "Apache-2.0" ]

null

HumeanPoseEstimate/data/coco_data.py

YuHe0108/cvmodule

ea00a90fc9bbca5b2c7809791cbd1f7b0da526cd

[ "Apache-2.0" ]

null

HumeanPoseEstimate/data/coco_data.py

YuHe0108/cvmodule

ea00a90fc9bbca5b2c7809791cbd1f7b0da526cd

[ "Apache-2.0" ]

null

"""用于制作coco数据集，用于目标检测、人体的关键点检测""" import tensorflow as tf

20

34

0.75

7

60

6.428571

1

0

0.116667

60

2

35

30

0.849057

0.45

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

815b182d6619644490ca209c7e36baf2f82df1e5

156

py

Python

pyboletox/Contracts/Cnab/remessa.py

lucasbrahm/pyboletox

d7cfff477622a4d5df255045428325f04fbe695a

[ "MIT" ]

1

2022-03-14T12:22:42.000Z

pyboletox/Contracts/Cnab/remessa.py

lucasbrahm/pyboletox

d7cfff477622a4d5df255045428325f04fbe695a

[ "MIT" ]

null

pyboletox/Contracts/Cnab/remessa.py

lucasbrahm/pyboletox

d7cfff477622a4d5df255045428325f04fbe695a

[ "MIT" ]

1

2022-03-14T12:22:27.000Z

from abc import abstractmethod from pyboletox.Contracts.Cnab.cnab import Cnab class Remessa(Cnab): @abstractmethod def gerar(self): pass

15.6

46

0.724359

19

156

5.947368

0.684211

0

0.211538

156

9

47

17.333333

0.918699

0

1

0.166667

false

0.166667

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

5

816d8b7d9b3b217832d0981c77e6d3077e353793

14

py

Python

code.py

karanchhatwani/Summer19_karan

2d0a2b5dc07444f8908e8a78e72185fff3b7be37

[ "Apache-2.0" ]

null

code.py

karanchhatwani/Summer19_karan

2d0a2b5dc07444f8908e8a78e72185fff3b7be37

[ "Apache-2.0" ]

null

code.py

karanchhatwani/Summer19_karan

2d0a2b5dc07444f8908e8a78e72185fff3b7be37

[ "Apache-2.0" ]

null

hi hello bye

2.8

5

0.714286

3

14

3.333333

1

0

0.285714

14

4

6

3.5

1

0

1

0

true

0

1

0

null

0

1

0

1

0

null

0

1

0

5

8197b5ee4a74f95cf092b31df9682eb5b99464fd

51

py

Python

src/schnetpack/atomistic/__init__.py

giadefa/schnetpack

9dabc3b6e3b28deb2fb3743ea1857c46b055efbf

[ "MIT" ]

450

2018-09-04T08:37:47.000Z

2022-03-30T08:05:37.000Z

src/schnetpack/atomistic/__init__.py

giadefa/schnetpack

9dabc3b6e3b28deb2fb3743ea1857c46b055efbf

[ "MIT" ]

239

2018-09-11T21:09:08.000Z

2022-03-18T09:25:11.000Z

src/schnetpack/atomistic/__init__.py

giadefa/schnetpack

9dabc3b6e3b28deb2fb3743ea1857c46b055efbf

[ "MIT" ]

166

2018-09-13T13:01:06.000Z

2022-03-31T12:59:12.000Z

from .model import * from .output_modules import *

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null

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1

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1

0

1

0

5

81b45f19f458bc7f79f9a3a1a17dcd61664fac15

309

py

Python

photutils/utils/__init__.py

Onoddil/photutils

433f3e54d3f53282ae04eadde9e1ddf657944590

[ "BSD-3-Clause" ]

null

photutils/utils/__init__.py

Onoddil/photutils

433f3e54d3f53282ae04eadde9e1ddf657944590

[ "BSD-3-Clause" ]

null

photutils/utils/__init__.py

Onoddil/photutils

433f3e54d3f53282ae04eadde9e1ddf657944590

[ "BSD-3-Clause" ]

null

# Licensed under a 3-clause BSD style license - see LICENSE.rst """ This subpackage provides general-purpose utility functions. """ from .check_random_state import * # noqa from .colormaps import * # noqa from .errors import * # noqa from .exceptions import * # noqa from .interpolation import * # noqa

28.090909

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309

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null

0

1

0

1

0

1

0

5

81e28bee0599ae1c6720abb7d8312e82e02349d6

192

py

Python

2 boolean.py

MotiMatika/teaching

71adf8160d2127391d4fce98b75e9269b546fb70

[ "MIT" ]

null

2 boolean.py

MotiMatika/teaching

71adf8160d2127391d4fce98b75e9269b546fb70

[ "MIT" ]

null

2 boolean.py

MotiMatika/teaching

71adf8160d2127391d4fce98b75e9269b546fb70

[ "MIT" ]

null

#x=True #y=0 #x=y<4 #print(x) # # x=True # y=0 # x=y==0 # print(x) # #x=True #y=0 #x=y!=9 #print(x) #3 #x='b' in 'bed' #print(x) # # x='b' in 'po' # print(x) # # help() x='b' in 'bo' print(x)

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0.46875

47

192

1.914894

0.297872

0.4

0.2

0.233333

0.433333

0.333333

0

0.045161

0.192708

192

25

16

7.68

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0.651042

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0

1

null

1

0

null

0

1

0

5

81e5e2d734a88d1b4c2669be472bb81fd89da9f6

153

py

Python

Aula2/parametros.py

gabriel-correia0408/Sala_Green_GabrielCorreia

1d22f466d372786c5f8c8eaba7202844b5f03445

[ "Apache-2.0" ]

null

Aula2/parametros.py

gabriel-correia0408/Sala_Green_GabrielCorreia

1d22f466d372786c5f8c8eaba7202844b5f03445

[ "Apache-2.0" ]

null

Aula2/parametros.py

gabriel-correia0408/Sala_Green_GabrielCorreia

1d22f466d372786c5f8c8eaba7202844b5f03445

[ "Apache-2.0" ]

null

#qyalquer melhor método de pasar parametros def parametros(nome,idade,tamanho,endereco): print(f'Nome: {nome}\nIdade: {idade}\nTamanho: {tamanho}\n')

51

64

0.751634

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5.47619

0.761905

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153

3

64

51

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0.27451

0

0.45045

0

0.333333

0

1

0.5

false

0

0.5

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null

0

1

0

null

0

1

0

1

0

1

0

5

c4bda69f53d82831f77456e732652d77eb54c983

592

py

Python

venv/lib/python3.8/site-packages/azureml/_tracing/_status.py

amcclead7336/Enterprise_Data_Science_Final

ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28

[ "Unlicense", "MIT" ]

null

venv/lib/python3.8/site-packages/azureml/_tracing/_status.py

amcclead7336/Enterprise_Data_Science_Final

ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28

[ "Unlicense", "MIT" ]

null

venv/lib/python3.8/site-packages/azureml/_tracing/_status.py

amcclead7336/Enterprise_Data_Science_Final

ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28

[ "Unlicense", "MIT" ]

2

2021-05-23T16:46:31.000Z

2021-05-26T23:51:09.000Z

# --------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # --------------------------------------------------------- import enum class StatusCode(enum.Enum): OK = 0 """Internal errors.""" INTERNAL = 13 class Status: def __init__(self, canonical_code=StatusCode.OK): self._canonical_code = canonical_code @property def canonical_code(self): return self._canonical_code @property def is_ok(self): return self._canonical_code == StatusCode.OK

22.769231

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0.511824

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592

5.45283

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0.269896

0.235294

0.186851

0.32872

0

0.006536

0.224662

592

25

61

23.68

0.623094

0.29223

0

0.153846

0

1

0.230769

false

0

0.076923

0.153846

0.769231

0

null

1

0

null

0

1

0

1

0

5

c4c107746a2ab5c12d09a1147cf3edf0ccea1d8e

3,908

py

Python

fhirclient/models/episodeofcare_tests.py

NematiLab/Streaming-Sepsis-Prediction-System-for-Intensive-Care-Units

fb5ad260fb8d264d85aea9e6c895d1700eea4d11

[ "Apache-2.0" ]

2

2019-05-16T16:41:22.000Z

2021-04-22T22:06:49.000Z

fhirclient/models/episodeofcare_tests.py

NematiLab/Streaming-Sepsis-Prediction-System-for-Intensive-Care-Units

fb5ad260fb8d264d85aea9e6c895d1700eea4d11

[ "Apache-2.0" ]

null

fhirclient/models/episodeofcare_tests.py

NematiLab/Streaming-Sepsis-Prediction-System-for-Intensive-Care-Units

fb5ad260fb8d264d85aea9e6c895d1700eea4d11

[ "Apache-2.0" ]

3

2019-03-26T01:39:18.000Z

2020-02-02T19:06:33.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- # # Generated from FHIR 1.0.2.7202 on 2016-06-23. # 2016, SMART Health IT. import os import io import unittest import json from . import episodeofcare from .fhirdate import FHIRDate class EpisodeOfCareTests(unittest.TestCase): def instantiate_from(self, filename): datadir = os.environ.get('FHIR_UNITTEST_DATADIR') or '' with io.open(os.path.join(datadir, filename), 'r', encoding='utf-8') as handle: js = json.load(handle) self.assertEqual("EpisodeOfCare", js["resourceType"]) return episodeofcare.EpisodeOfCare(js) def testEpisodeOfCare1(self): inst = self.instantiate_from("episodeofcare-example.json") self.assertIsNotNone(inst, "Must have instantiated a EpisodeOfCare instance") self.implEpisodeOfCare1(inst) js = inst.as_json() self.assertEqual("EpisodeOfCare", js["resourceType"]) inst2 = episodeofcare.EpisodeOfCare(js) self.implEpisodeOfCare1(inst2) def implEpisodeOfCare1(self, inst): self.assertEqual(inst.careTeam[0].period.end.date, FHIRDate("2014-09-16").date) self.assertEqual(inst.careTeam[0].period.end.as_json(), "2014-09-16") self.assertEqual(inst.careTeam[0].period.start.date, FHIRDate("2014-09-01").date) self.assertEqual(inst.careTeam[0].period.start.as_json(), "2014-09-01") self.assertEqual(inst.careTeam[0].role[0].coding[0].code, "AO") self.assertEqual(inst.careTeam[0].role[0].coding[0].display, "Assessment Worker") self.assertEqual(inst.careTeam[0].role[0].coding[0].system, "http://example.org/EpisodeOfCare/Role") self.assertEqual(inst.id, "example") self.assertEqual(inst.identifier[0].system, "http://example.org/sampleepisodeofcare-identifier") self.assertEqual(inst.identifier[0].value, "123") self.assertEqual(inst.period.start.date, FHIRDate("2014-09-01").date) self.assertEqual(inst.period.start.as_json(), "2014-09-01") self.assertEqual(inst.status, "active") self.assertEqual(inst.statusHistory[0].period.end.date, FHIRDate("2014-09-14").date) self.assertEqual(inst.statusHistory[0].period.end.as_json(), "2014-09-14") self.assertEqual(inst.statusHistory[0].period.start.date, FHIRDate("2014-09-01").date) self.assertEqual(inst.statusHistory[0].period.start.as_json(), "2014-09-01") self.assertEqual(inst.statusHistory[0].status, "planned") self.assertEqual(inst.statusHistory[1].period.end.date, FHIRDate("2014-09-21").date) self.assertEqual(inst.statusHistory[1].period.end.as_json(), "2014-09-21") self.assertEqual(inst.statusHistory[1].period.start.date, FHIRDate("2014-09-15").date) self.assertEqual(inst.statusHistory[1].period.start.as_json(), "2014-09-15") self.assertEqual(inst.statusHistory[1].status, "active") self.assertEqual(inst.statusHistory[2].period.end.date, FHIRDate("2014-09-24").date) self.assertEqual(inst.statusHistory[2].period.end.as_json(), "2014-09-24") self.assertEqual(inst.statusHistory[2].period.start.date, FHIRDate("2014-09-22").date) self.assertEqual(inst.statusHistory[2].period.start.as_json(), "2014-09-22") self.assertEqual(inst.statusHistory[2].status, "onhold") self.assertEqual(inst.statusHistory[3].period.start.date, FHIRDate("2014-09-25").date) self.assertEqual(inst.statusHistory[3].period.start.as_json(), "2014-09-25") self.assertEqual(inst.statusHistory[3].status, "active") self.assertEqual(inst.text.status, "generated") self.assertEqual(inst.type[0].coding[0].code, "HACC") self.assertEqual(inst.type[0].coding[0].display, "Home and Community Care Package") self.assertEqual(inst.type[0].coding[0].system, "http://example.org/EpisodeOfCare/Type")

55.042254

108

0.688843

504

3,908

5.311508

0.210317

0.207322

0.248412

0.215166

0.678745

0.555099

0.490101

0.17669

0.149047

0.111319

0

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0.148925

3,908

70

109

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0.736019

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0.012404

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0.666667

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false

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0.105263

0

0.192982

0

null

1

0

1

0

null

0

1

0

5

c4d439ce842f743229d4f965e2d2641e4b3c5b49

174

py

Python

stack.py

Schmidt1519/sweepstakes

4febc284b4918b28c6dcd32ac300a24922c152b5

[ "MIT" ]

null

stack.py

Schmidt1519/sweepstakes

4febc284b4918b28c6dcd32ac300a24922c152b5

[ "MIT" ]

null

stack.py

Schmidt1519/sweepstakes

4febc284b4918b28c6dcd32ac300a24922c152b5

[ "MIT" ]

null

class Stack: def __init__(self): self.stack = [] def push(self, item): self.stack.append(item) def pop(self): return self.stack.pop(-1)

17.4

33

0.557471

23

174

4.043478

0.478261

0.290323

0

0.008264

0.304598

174

10

33

17.4

0.760331

0

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0.428571

false

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0.142857

0.714286

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1

0

null

1

0

null

0

1

0

1

0

5

f228539ac57963ce16d65dba9ec65f12d1254efa

114

py

Python

src/requests/new_user_request.py

danielvcm/to-do-api

ca560dec3672222c98cd287961ebcd41f2792a7b

[ "MIT" ]

null

src/requests/new_user_request.py

danielvcm/to-do-api

ca560dec3672222c98cd287961ebcd41f2792a7b

[ "MIT" ]

null

src/requests/new_user_request.py

danielvcm/to-do-api

ca560dec3672222c98cd287961ebcd41f2792a7b

[ "MIT" ]

null

from pydantic import BaseModel class NewUserRequest(BaseModel): name: str user_name: str password: str

22.8

32

0.745614

14

114

6

0.714286

0.166667

0

0.201754

114

5

33

22.8

0.923077

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true

0.2

0

1

0

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null

0

1

0

null

0

1

0

1

0

5

481cccdf2398aa0c596463752540cc86d492d154

60

py

Python

Lib/urllib/__init__.py

Ixyk-Wolf/cpython

0a6136ab724a2bf1e0d99f0d480fad7c1e77dbd4

[ "0BSD" ]

null

Lib/urllib/__init__.py

Ixyk-Wolf/cpython

0a6136ab724a2bf1e0d99f0d480fad7c1e77dbd4

[ "0BSD" ]

null

Lib/urllib/__init__.py

Ixyk-Wolf/cpython

0a6136ab724a2bf1e0d99f0d480fad7c1e77dbd4

[ "0BSD" ]

null

from . import request, response, parse, error, robotparser

30

59

0.766667

7

60

6.571429

1

0

0.15

60

1

60

0.901961

0

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true

0

1

0

1

0

1

0

null

0

1

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null

0

1

0

1

0

1

0

5

481f2f7e67b0c9b0a66ae4bd279b075b5ec6feaf

15,290

py

Python

surfify/models/vae.py

AGrigis/surfify

180f7967f435d886e28df79be502406ee7946712

[ "CECILL-B" ]

null

surfify/models/vae.py

AGrigis/surfify

180f7967f435d886e28df79be502406ee7946712

[ "CECILL-B" ]

null

surfify/models/vae.py

AGrigis/surfify

180f7967f435d886e28df79be502406ee7946712

[ "CECILL-B" ]

null

# -*- coding: utf-8 -*- ########################################################################## # NSAp - Copyright (C) CEA, 2021 # Distributed under the terms of the CeCILL-B license, as published by # the CEA-CNRS-INRIA. Refer to the LICENSE file or to # http://www.cecill.info/licences/Licence_CeCILL-B_V1-en.html # for details. ########################################################################## """ Cortical Spherical Variational Auto-Encoder (GMVAE) models. [1] Representation Learning of Resting State fMRI with Variational Autoencoder: https://github.com/libilab/rsfMRI-VAE """ # Imports import torch import torch.nn as nn from torch.distributions import Normal from ..utils import get_logger, debug_msg from ..nn import IcoUpConv, IcoPool, IcoSpMaConv, IcoSpMaConvTranspose from .base import SphericalBase # Global parameters logger = get_logger() class SphericalVAE(SphericalBase): """ Spherical VAE architecture. Use either RePa - Rectangular Patch convolution method or DiNe - Direct Neighbor convolution method. Notes ----- Debuging messages can be displayed by changing the log level using ``setup_logging(level='debug')``. See Also -------- SphericalGVAE References ---------- Representation Learning of Resting State fMRI with Variational Autoencoder, NeuroImage 2021. """ def __init__(self, input_channels=1, input_order=5, latent_dim=64, conv_flts=[32, 32, 64, 64], conv_mode="DiNe", dine_size=1, repa_size=5, repa_zoom=5, use_freesurfer=True, cachedir=None): """ Init class. Parameters ---------- input_channels: int, default 1 the number of input channels. input_order: int, default 5 the input icosahedron order. latent_dim: int, default 64 the size of the stochastic latent state of the SVAE. conv_flts: list of int the size of convolutional filters. conv_mode: str, default 'DiNe' use either 'RePa' - Rectangular Patch convolution method or 'DiNe' - 1 ring Direct Neighbor convolution method. dine_size: int, default 1 the size of the spherical convolution filter, ie. the number of neighbor rings to be considered. repa_size: int, default 5 the size of the rectangular grid in the tangent space. repa_zoom: int, default 5 a multiplicative factor applied to the rectangular grid in the tangent space. use_freesurfer: bool, default True optionaly use surfify tesselation. cachedir: str, default None set this folder to use smart caching speedup. """ logger.debug("SphericalVAE init...") super(SphericalVAE, self).__init__( input_order=input_order, n_layers=len(conv_flts), conv_mode=conv_mode, dine_size=dine_size, repa_size=repa_size, repa_zoom=repa_zoom, use_freesurfer=use_freesurfer, cachedir=cachedir) self.input_channels = input_channels self.latent_dim = latent_dim self.conv_flts = conv_flts self.top_flatten_dim = len( self.ico[self.input_order - self.n_layers + 1].vertices) self.top_final = self.conv_flts[-1] * self.top_flatten_dim # define the encoder self.enc_left_conv = self.sconv( input_channels, int(self.conv_flts[0] / 2), self.ico[self.input_order].conv_neighbor_indices) self.enc_right_conv = self.sconv( input_channels, int(self.conv_flts[0] / 2), self.ico[self.input_order].conv_neighbor_indices) self.enc_w_conv = nn.Sequential() for idx in range(1, self.n_layers): order = self.input_order - idx pooling = IcoPool( down_neigh_indices=self.ico[order + 1].neighbor_indices, down_indices=self.ico[order + 1].down_indices, pooling_type="mean") self.enc_w_conv.add_module("pooling_{0}".format(idx), pooling) conv = self.sconv( self.conv_flts[idx - 1], self.conv_flts[idx], self.ico[order].conv_neighbor_indices) self.enc_w_conv.add_module("down_{0}".format(idx), conv) self.enc_w_dense = nn.Linear(self.top_final, self.latent_dim * 2) # define the decoder self.dec_w_dense = nn.Linear(self.latent_dim, self.top_final) self.dec_w_conv = nn.Sequential() cnt = 1 for idx in range(self.n_layers - 1, 0, -1): tconv = IcoUpConv( in_feats=self.conv_flts[idx], out_feats=self.conv_flts[idx - 1], up_neigh_indices=self.ico[order + 1].neighbor_indices, down_indices=self.ico[order + 1].down_indices) self.dec_w_conv.add_module("up_{0}".format(cnt), tconv) order += 1 cnt += 1 self.dec_left_conv = IcoUpConv( in_feats=int(self.conv_flts[0] / 2), out_feats=self.input_channels, up_neigh_indices=self.ico[order].neighbor_indices, down_indices=self.ico[order].down_indices) self.dec_right_conv = IcoUpConv( in_feats=int(self.conv_flts[0] / 2), out_feats=self.input_channels, up_neigh_indices=self.ico[order].neighbor_indices, down_indices=self.ico[order].down_indices) self.relu = nn.ReLU(inplace=True) def encode(self, left_x, right_x): """ The encoder. Parameters ---------- left_x: Tensor (samples, <input_channels>, azimuth, elevation) input left cortical texture. right_x: Tensor (samples, <input_channels>, azimuth, elevation) input right cortical texture. Returns ------- q(z | x): Normal (batch_size, <latent_dim>) a Normal distribution. """ x = torch.cat( (self.enc_left_conv(left_x), self.enc_right_conv(right_x)), dim=1) x = self.relu(x) for layer_idx in range((self.n_layers - 1) * 2): if isinstance(self.enc_w_conv[layer_idx], IcoPool): x = self.enc_w_conv[layer_idx](x)[0] else: x = self.relu(self.enc_w_conv[layer_idx](x)) x = x.reshape(-1, self.top_final) x = self.enc_w_dense(x) z_mu, z_logvar = torch.chunk(x, chunks=2, dim=1) return Normal(loc=z_mu, scale=z_logvar.exp().pow(0.5)) def decode(self, z): """ The decoder. Parameters ---------- z: Tensor (samples, <latent_dim>) the stochastic latent state z. Returns ------- left_recon_x: Tensor (samples, <input_channels>, azimuth, elevation) reconstructed left cortical texture. right_recon_x: Tensor (samples, <input_channels>, azimuth, elevation) reconstructed right cortical texture. """ x = self.relu(self.dec_w_dense(z)) x = x.view(-1, self.conv_flts[-1], self.top_flatten_dim) for layer_idx in range(self.n_layers - 1): x = self.relu(self.dec_w_conv[layer_idx](x)) left_recon_x, right_recon_x = torch.chunk(x, chunks=2, dim=1) left_recon_x = self.dec_left_conv(left_recon_x) right_recon_x = self.dec_right_conv(right_recon_x) return left_recon_x, right_recon_x def reparameterize(self, q): """ Implement the reparametrization trick. """ if self.training: z = q.rsample() else: z = q.loc return z def forward(self, left_x, right_x): """ The forward method. Parameters ---------- left_x: Tensor (samples, <input_channels>, azimuth, elevation) input left cortical texture. right_x: Tensor (samples, <input_channels>, azimuth, elevation) input right cortical texture. Returns ------- left_recon_x: Tensor (samples, <input_channels>, azimuth, elevation) reconstructed left cortical texture. right_recon_x: Tensor (samples, <input_channels>, azimuth, elevation) reconstructed right cortical texture. """ logger.debug("SphericalVAE forward pass") logger.debug(debug_msg("left cortical", left_x)) logger.debug(debug_msg("right cortical", right_x)) q = self.encode(left_x, right_x) logger.debug(debug_msg("posterior loc", q.loc)) logger.debug(debug_msg("posterior scale", q.scale)) z = self.reparameterize(q) logger.debug(debug_msg("z", z)) left_recon_x, right_recon_x = self.decode(z) logger.debug(debug_msg("left recon cortical", left_recon_x)) logger.debug(debug_msg("right recon cortical", right_recon_x)) return left_recon_x, right_recon_x, {"q": q, "z": z} class SphericalGVAE(nn.Module): """ Spherical Grided VAE architecture. Use SpMa - Spherical Mapping convolution method. Notes ----- Debuging messages can be displayed by changing the log level using ``setup_logging(level='debug')``. See Also -------- SphericalVAE References ---------- Representation Learning of Resting State fMRI with Variational Autoencoder, NeuroImage 2021. """ def __init__(self, input_channels=1, input_dim=192, latent_dim=64, conv_flts=[64, 128, 128, 256, 256]): """ Init class. Parameters ---------- input_channels: int, default 1 the number of input channels. input_dim: int, default 192 the size of the converted 3-D surface to the 2-D grid. latent_dim: int, default 64 the size of the stochastic latent state of the SVAE. conv_flts: list of int the size of convolutional filters. """ logger.debug("SphericalGVAE init...") super(SphericalGVAE, self).__init__() self.input_channels = input_channels self.input_dim = input_dim self.latent_dim = latent_dim self.conv_flts = conv_flts self.n_layers = len(self.conv_flts) self.top_flatten_dim = int(self.input_dim / (2 ** self.n_layers)) self.top_final = self.conv_flts[-1] * self.top_flatten_dim ** 2 # define the encoder self.enc_left_conv = IcoSpMaConv( in_feats=self.input_channels, out_feats=int(self.conv_flts[0] / 2), kernel_size=8, stride=2, pad=3) self.enc_right_conv = IcoSpMaConv( in_feats=self.input_channels, out_feats=int(self.conv_flts[0] / 2), kernel_size=8, stride=2, pad=3) self.enc_w_conv = nn.ModuleList([ IcoSpMaConv(self.conv_flts[i - 1], self.conv_flts[i], kernel_size=4, stride=2, pad=1) for i in range(1, self.n_layers)]) self.enc_w_dense = nn.Linear(self.top_final, self.latent_dim * 2) # define the decoder self.dec_w_dense = nn.Linear(self.latent_dim, self.top_final) self.dec_w_conv = nn.ModuleList([ IcoSpMaConvTranspose( in_feats=self.conv_flts[i], out_feats=self.conv_flts[i - 1], kernel_size=4, stride=2, pad=1, zero_pad=3) for i in range(self.n_layers - 1, 0, -1)]) self.dec_left_conv = IcoSpMaConvTranspose( in_feats=int(self.conv_flts[0] / 2), out_feats=self.input_channels, kernel_size=8, stride=2, pad=3, zero_pad=9) self.dec_right_conv = IcoSpMaConvTranspose( in_feats=int(self.conv_flts[0] / 2), out_feats=self.input_channels, kernel_size=8, stride=2, pad=3, zero_pad=9) self.relu = nn.ReLU(inplace=True) def encode(self, left_x, right_x): """ The encoder. Parameters ---------- left_x: Tensor (samples, <input_channels>, azimuth, elevation) input left cortical texture. right_x: Tensor (samples, <input_channels>, azimuth, elevation) input right cortical texture. Returns ------- q(z | x): Normal (batch_size, <latent_dim>) a Normal distribution. """ x = torch.cat( (self.enc_left_conv(left_x), self.enc_right_conv(right_x)), dim=1) x = self.relu(x) for layer_idx in range(self.n_layers - 1): x = self.relu(self.enc_w_conv[layer_idx](x)) x = x.view(-1, self.top_final) x = self.enc_w_dense(x) z_mu, z_logvar = torch.chunk(x, chunks=2, dim=1) return Normal(loc=z_mu, scale=z_logvar.exp().pow(0.5)) def decode(self, z): """ The decoder. Parameters ---------- z: Tensor (samples, <latent_dim>) the stochastic latent state z. Returns ------- left_recon_x: Tensor (samples, <input_channels>, azimuth, elevation) reconstructed left cortical texture. right_recon_x: Tensor (samples, <input_channels>, azimuth, elevation) reconstructed right cortical texture. """ x = self.relu(self.dec_w_dense(z)) x = x.view(-1, self.conv_flts[-1], self.top_flatten_dim, self.top_flatten_dim) for layer_idx in range(self.n_layers - 1): x = self.relu(self.dec_w_conv[layer_idx](x)) left_recon_x, right_recon_x = torch.chunk(x, chunks=2, dim=1) left_recon_x = self.dec_left_conv(left_recon_x) right_recon_x = self.dec_right_conv(right_recon_x) return left_recon_x, right_recon_x def reparameterize(self, q): """ Implement the reparametrization trick. """ if self.training: z = q.rsample() else: z = q.loc return z def forward(self, left_x, right_x): """ The forward method. Parameters ---------- left_x: Tensor (samples, <input_channels>, azimuth, elevation) input left cortical texture. right_x: Tensor (samples, <input_channels>, azimuth, elevation) input right cortical texture. Returns ------- left_recon_x: Tensor (samples, <input_channels>, azimuth, elevation) reconstructed left cortical texture. right_recon_x: Tensor (samples, <input_channels>, azimuth, elevation) reconstructed right cortical texture. """ logger.debug("SphericalGVAE forward pass") logger.debug(debug_msg("left cortical", left_x)) logger.debug(debug_msg("right cortical", right_x)) q = self.encode(left_x, right_x) logger.debug(debug_msg("posterior loc", q.loc)) logger.debug(debug_msg("posterior scale", q.scale)) z = self.reparameterize(q) logger.debug(debug_msg("z", z)) left_recon_x, right_recon_x = self.decode(z) logger.debug(debug_msg("left recon cortical", left_recon_x)) logger.debug(debug_msg("right recon cortical", right_recon_x)) return left_recon_x, right_recon_x, {"q": q, "z": z}

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48316ba47c2fc99ec6ad0d6e2f8d05a598907431

410

py

Python

tests/stdlib/test_urllib2_localnet.py

CaesarLinsa/Eventlet

43e832b441977f0344a56d22b267dca443333960

[ "MIT" ]

19

2015-05-01T19:59:03.000Z

2021-12-09T08:03:16.000Z

tests/stdlib/test_urllib2_localnet.py

CaesarLinsa/Eventlet

43e832b441977f0344a56d22b267dca443333960

[ "MIT" ]

1

2018-01-03T15:26:49.000Z

tests/stdlib/test_urllib2_localnet.py

CaesarLinsa/Eventlet

43e832b441977f0344a56d22b267dca443333960

[ "MIT" ]

30

2015-03-25T19:40:07.000Z

2021-05-28T22:59:26.000Z

from eventlet import patcher from eventlet.green import BaseHTTPServer from eventlet.green import threading from eventlet.green import socket from eventlet.green import urllib2 patcher.inject('test.test_urllib2_localnet', globals(), ('BaseHTTPServer', BaseHTTPServer), ('threading', threading), ('socket', socket), ('urllib2', urllib2)) if __name__ == "__main__": test_main()

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6f8825cd5fc896a74e5eb19c8c314dbd8ca932bb

2,622

py

Python

backendapp/travels/migrations/0039_auto_20200325_1342.py

finebrush/takeatripsFB

85a5be1a2ee68531f04f2601a3f69ddc608d4d27

[ "BSD-3-Clause" ]

null

backendapp/travels/migrations/0039_auto_20200325_1342.py

finebrush/takeatripsFB

85a5be1a2ee68531f04f2601a3f69ddc608d4d27

[ "BSD-3-Clause" ]

13

2020-02-12T03:05:15.000Z

2022-02-10T14:26:50.000Z

backendapp/travels/migrations/0039_auto_20200325_1342.py

finebrush/takeatripsFB

85a5be1a2ee68531f04f2601a3f69ddc608d4d27

[ "BSD-3-Clause" ]

null

# Generated by Django 2.2.7 on 2020-03-25 04:42 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('common', '0017_auto_20200325_1342'), ('travels', '0038_auto_20200123_1535'), ] operations = [ migrations.AddField( model_name='buypart', name='pin', field=models.ManyToManyField(to='common.PinBuy', verbose_name='사다 핀'), ), migrations.AddField( model_name='funpart', name='pin', field=models.ManyToManyField(to='common.PinFun', verbose_name='놀다 핀'), ), migrations.CreateModel( name='EatPart', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('biztimeko', models.CharField(max_length=128, verbose_name='영업시간(한국어)')), ('biztimeeng', models.CharField(max_length=128, verbose_name='영업시간(영어)')), ('biztimeven', models.CharField(max_length=128, verbose_name='영업시간(베트남어)')), ('menuko', models.CharField(max_length=128, verbose_name='대표메뉴(한국어)')), ('menueng', models.CharField(max_length=128, verbose_name='대표메뉴(영어)')), ('menuven', models.CharField(max_length=128, verbose_name='대표메뉴(베트남어)')), ('part', models.OneToOneField(on_delete=django.db.models.deletion.CASCADE, to='travels.InfoTravel')), ('pin', models.ManyToManyField(to='common.PinEat', verbose_name='먹다 핀')), ], ), migrations.CreateModel( name='DrinkPart', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('biztimeko', models.CharField(max_length=128, verbose_name='영업시간(한국어)')), ('biztimeeng', models.CharField(max_length=128, verbose_name='영업시간(영어)')), ('biztimeven', models.CharField(max_length=128, verbose_name='영업시간(베트남어)')), ('menuko', models.CharField(max_length=128, verbose_name='대표메뉴(한국어)')), ('menueng', models.CharField(max_length=128, verbose_name='대표메뉴(영어)')), ('menuven', models.CharField(max_length=128, verbose_name='대표메뉴(베트남어)')), ('part', models.OneToOneField(on_delete=django.db.models.deletion.CASCADE, to='travels.InfoTravel')), ('pin', models.ManyToManyField(to='common.PinDrink', verbose_name='마시다 핀')), ], ), ]

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null

0

5

6fbedbd183e484726e72d45dba143842450a24a5

199

py

Python

FactorLib/data_source/__init__.py

wanhanwan/Packages

14dfbd70603d45bb6c8c161c56b9ed9cf7c301d3

[ "MIT" ]

5

2018-06-29T16:56:10.000Z

2019-06-20T03:31:44.000Z

FactorLib/data_source/__init__.py

wanhanwan/Packages

14dfbd70603d45bb6c8c161c56b9ed9cf7c301d3

[ "MIT" ]

null

FactorLib/data_source/__init__.py

wanhanwan/Packages

14dfbd70603d45bb6c8c161c56b9ed9cf7c301d3

[ "MIT" ]

3

2018-06-25T06:37:17.000Z

2018-11-22T08:12:20.000Z

# coding: utf-8 from .converter import IndustryConverter from .trade_calendar import to_offset try: from rqdatac import * import rqdatac as rq except ModuleNotFoundError: pass

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6fd41ee838300a7edd4327ea2a8bbe79fc850cd7

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py

Python

__main__.py

NonSvizzero/whatsapp-assistant-bot

af3c25f727c9a9e06c1cff83047fa3d60ccf8936

[ "MIT" ]

null

__main__.py

NonSvizzero/whatsapp-assistant-bot

af3c25f727c9a9e06c1cff83047fa3d60ccf8936

[ "MIT" ]

null

__main__.py

NonSvizzero/whatsapp-assistant-bot

af3c25f727c9a9e06c1cff83047fa3d60ccf8936

[ "MIT" ]

null

import threading from src import whatsapp_assistant_bot

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5

6fff4bd000eb522551dfe5b4d6af71b3d1901fc9

86

py

Python

wordclouds/__init__.py

brandons209/FlapJack-Cogs

9a959d27b543b5e4ad321979f1c80fbff7556a02

[ "MIT" ]

null

wordclouds/__init__.py

brandons209/FlapJack-Cogs

9a959d27b543b5e4ad321979f1c80fbff7556a02

[ "MIT" ]

null

wordclouds/__init__.py

brandons209/FlapJack-Cogs

9a959d27b543b5e4ad321979f1c80fbff7556a02

[ "MIT" ]

null

from .wordclouds import WordClouds def setup(bot): bot.add_cog(WordClouds(bot))

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1

0

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5

b50f7bbfd7aba89edee4bcd462ae995aa9233f3b

21,886

py

Python

dendri/tests/test_dates.py

Naissant/dendri

ac6223ccdd96331363d04fef5ddc3ab1a5f8db13

[ "MIT" ]

null

dendri/tests/test_dates.py

Naissant/dendri

ac6223ccdd96331363d04fef5ddc3ab1a5f8db13

[ "MIT" ]

5

2021-02-05T23:30:16.000Z

2021-03-16T12:30:31.000Z

dendri/tests/test_dates.py

Naissant/dendri

ac6223ccdd96331363d04fef5ddc3ab1a5f8db13

[ "MIT" ]

1

2021-02-26T18:34:06.000Z

from datetime import date import pytest import pyspark.sql.functions as F from dendri.dates import ( condense_segments, extend_segments, covered_days, first_event_in_x_days, count_events_by_period, age, ) def d(s): return date.fromisoformat(s) class TestCondenseSegments: input_df = ( [ # Scenario #1: Non-overlap segment and segments 0 days apart ("001", "100", d("2017-01-01"), d("2017-01-02")), ("001", "101", d("2018-01-01"), d("2018-01-15")), ("001", "102", d("2018-01-15"), d("2018-01-20")), # Scenario #2: Segments 1 days apart ("002", "200", d("2018-02-01"), d("2018-02-15")), ("002", "201", d("2018-02-16"), d("2018-02-20")), # Scenario #3: Segments 2 days apart ("003", "300", d("2018-03-01"), d("2018-03-15")), ("003", "301", d("2018-03-17"), d("2018-03-20")), # Scenario #4: Segments 1 day apart with nested segment ("004", "400", d("2019-08-01"), d("2019-08-07")), ("004", "401", d("2019-08-05"), d("2019-08-06")), ("004", "402", d("2019-08-08"), d("2019-08-15")), ], ["entity_id", "iterator", "start_dt", "end_dt"], ) output_df_tolerance_1 = ( [ ( "001", "100", d("2017-01-01"), d("2017-01-02"), d("2017-01-01"), d("2017-01-02"), ), ( "001", "101", d("2018-01-01"), d("2018-01-15"), d("2018-01-01"), d("2018-01-20"), ), ( "001", "102", d("2018-01-15"), d("2018-01-20"), d("2018-01-01"), d("2018-01-20"), ), ( "002", "200", d("2018-02-01"), d("2018-02-15"), d("2018-02-01"), d("2018-02-20"), ), ( "002", "201", d("2018-02-16"), d("2018-02-20"), d("2018-02-01"), d("2018-02-20"), ), ( "003", "300", d("2018-03-01"), d("2018-03-15"), d("2018-03-01"), d("2018-03-15"), ), ( "003", "301", d("2018-03-17"), d("2018-03-20"), d("2018-03-17"), d("2018-03-20"), ), ( "004", "400", d("2019-08-01"), d("2019-08-07"), d("2019-08-01"), d("2019-08-15"), ), ( "004", "401", d("2019-08-05"), d("2019-08-06"), d("2019-08-01"), d("2019-08-15"), ), ( "004", "402", d("2019-08-08"), d("2019-08-15"), d("2019-08-01"), d("2019-08-15"), ), ], [ "entity_id", "iterator", "start_dt", "end_dt", "condense_start_dt", "condense_end_dt", ], ) output_df_tolerance_2 = ( [ ( "001", "100", d("2017-01-01"), d("2017-01-02"), d("2017-01-01"), d("2017-01-02"), ), ( "001", "101", d("2018-01-01"), d("2018-01-15"), d("2018-01-01"), d("2018-01-20"), ), ( "001", "102", d("2018-01-15"), d("2018-01-20"), d("2018-01-01"), d("2018-01-20"), ), ( "002", "200", d("2018-02-01"), d("2018-02-15"), d("2018-02-01"), d("2018-02-20"), ), ( "002", "201", d("2018-02-16"), d("2018-02-20"), d("2018-02-01"), d("2018-02-20"), ), ( "003", "300", d("2018-03-01"), d("2018-03-15"), d("2018-03-01"), d("2018-03-20"), ), ( "003", "301", d("2018-03-17"), d("2018-03-20"), d("2018-03-01"), d("2018-03-20"), ), ( "004", "400", d("2019-08-01"), d("2019-08-07"), d("2019-08-01"), d("2019-08-15"), ), ( "004", "401", d("2019-08-05"), d("2019-08-06"), d("2019-08-01"), d("2019-08-15"), ), ( "004", "402", d("2019-08-08"), d("2019-08-15"), d("2019-08-01"), d("2019-08-15"), ), ], [ "entity_id", "iterator", "start_dt", "end_dt", "condense_start_dt", "condense_end_dt", ], ) output_df_tolerance_1_no_retain = ( [ ( "001", d("2017-01-01"), d("2017-01-02"), ), ( "001", d("2018-01-01"), d("2018-01-20"), ), ( "002", d("2018-02-01"), d("2018-02-20"), ), ( "003", d("2018-03-01"), d("2018-03-15"), ), ( "003", d("2018-03-17"), d("2018-03-20"), ), ( "004", d("2019-08-01"), d("2019-08-15"), ), ], [ "entity_id", "start_dt", "end_dt", ], ) output_df_org = ( [ ( "001", "100", d("2017-01-01"), d("2017-01-02"), d("2017-01-01"), d("2017-01-02"), ), ( "001", "101", d("2018-01-01"), d("2018-01-15"), d("2018-01-01"), d("2018-01-15"), ), ( "001", "102", d("2018-01-15"), d("2018-01-20"), d("2018-01-15"), d("2018-01-20"), ), ( "002", "200", d("2018-02-01"), d("2018-02-15"), d("2018-02-01"), d("2018-02-15"), ), ( "002", "201", d("2018-02-16"), d("2018-02-20"), d("2018-02-16"), d("2018-02-20"), ), ( "003", "300", d("2018-03-01"), d("2018-03-15"), d("2018-03-01"), d("2018-03-15"), ), ( "003", "301", d("2018-03-17"), d("2018-03-20"), d("2018-03-17"), d("2018-03-20"), ), ( "004", "400", d("2019-08-01"), d("2019-08-07"), d("2019-08-01"), d("2019-08-07"), ), ( "004", "401", d("2019-08-05"), d("2019-08-06"), d("2019-08-05"), d("2019-08-06"), ), ( "004", "402", d("2019-08-08"), d("2019-08-15"), d("2019-08-08"), d("2019-08-15"), ), ], [ "entity_id", "iterator", "start_dt", "end_dt", "condense_start_dt", "condense_end_dt", ], ) @pytest.mark.parametrize( "df,group_col,start_dt_col,end_dt_col,tolerance,retain_shape,expected_output", [ ( input_df, "entity_id", "start_dt", "end_dt", 1, True, output_df_tolerance_1, ), ( input_df, "entity_id", "start_dt", "end_dt", 2, True, output_df_tolerance_2, ), ( input_df, ["entity_id"], "start_dt", "end_dt", 1, True, output_df_tolerance_1, ), ( input_df, ["entity_id", "iterator"], "start_dt", "end_dt", 1, True, output_df_org, ), ( input_df, "entity_id", "start_dt", "end_dt", 1, False, output_df_tolerance_1_no_retain, ), ], ) def test_condense_segments( self, spark_context, df, group_col, start_dt_col, end_dt_col, tolerance, retain_shape, expected_output, ): res = condense_segments( spark_context.createDataFrame(*df), group_col, start_dt_col, end_dt_col, tolerance, retain_shape, ) exp = spark_context.createDataFrame(*expected_output) assert sorted(res.collect()) == sorted(exp.collect()) class TestExtendSegments: input_df = ( [ # Scenario #1: Non-overlapping sement and segments 0 days apart ("001", "100", d("2017-01-01"), d("2017-01-02")), ("001", "101", d("2018-01-01"), d("2018-01-15")), ("001", "102", d("2018-01-15"), d("2018-01-20")), # Scenario #2: Segments 1 day apart ("002", "200", d("2018-02-01"), d("2018-02-15")), ("002", "201", d("2018-02-16"), d("2018-02-20")), # Scenario #3: Segments 2 days apart ("003", "300", d("2018-03-01"), d("2018-03-15")), ("003", "301", d("2018-03-17"), d("2018-03-20")), # Scenario #4: Segments 1 day apart with nested segment ("004", "400", d("2019-08-01"), d("2019-08-07")), ("004", "401", d("2019-08-05"), d("2019-08-06")), ("004", "402", d("2019-08-08"), d("2019-08-15")), # Scenario #5: Duplicate segments and segments 2 days apart ("005", "500", d("2019-01-01"), d("2019-01-02")), ("005", "501", d("2019-01-01"), d("2019-01-02")), ("005", "502", d("2019-01-04"), d("2019-01-05")), ], ["entity_id", "iterator", "start_dt", "end_dt"], ) output_df = ( [ ("001", "100", d("2017-01-01"), d("2017-01-02")), ("001", "101", d("2018-01-01"), d("2018-01-21")), ("001", "102", d("2018-01-01"), d("2018-01-21")), ("002", "200", d("2018-02-01"), d("2018-02-20")), ("002", "201", d("2018-02-01"), d("2018-02-20")), ("003", "300", d("2018-03-01"), d("2018-03-15")), ("003", "301", d("2018-03-17"), d("2018-03-20")), ("004", "400", d("2019-08-01"), d("2019-08-17")), ("004", "401", d("2019-08-01"), d("2019-08-17")), ("004", "402", d("2019-08-01"), d("2019-08-17")), ("005", "500", d("2019-01-01"), d("2019-01-06")), ("005", "501", d("2019-01-01"), d("2019-01-06")), ("005", "502", d("2019-01-01"), d("2019-01-06")), ], ["entity_id", "iterator", "start_dt", "end_dt"], ) @pytest.mark.parametrize( "df, group_col, start_dt_col, end_dt_col, tolerance, expected_output", [ (input_df, "entity_id", "start_dt", "end_dt", 1, output_df), (input_df, ["entity_id"], "start_dt", "end_dt", 1, output_df), (input_df, ["entity_id", "iterator"], "start_dt", "end_dt", 1, input_df), ], ) def test_extend_segments( self, spark_context, df, group_col, start_dt_col, end_dt_col, tolerance, expected_output, ): res = extend_segments( spark_context.createDataFrame(*df), group_col, start_dt_col, end_dt_col, tolerance, ) exp = spark_context.createDataFrame(*expected_output) assert sorted(res.collect()) == sorted(exp.collect()) class TestCoveredDays: input_df = ( [ # Straight forward case ( "1", d("2019-01-01"), d("2019-01-01"), d("2019-01-01"), d("2019-01-02"), 1, ), # Overlapping segments ( "2", d("2019-01-01"), d("2019-01-02"), d("2019-01-01"), d("2019-01-03"), 3, ), ( "2", d("2019-01-02"), d("2019-01-03"), d("2019-01-01"), d("2019-01-03"), 3, ), # 1-day gap ( "3", d("2019-01-01"), d("2019-01-02"), d("2019-01-01"), d("2019-01-04"), 4, ), ( "3", d("2019-01-03"), d("2019-01-04"), d("2019-01-01"), d("2019-01-04"), 4, ), # 2-day gap ( "4", d("2019-01-01"), d("2019-01-02"), d("2019-01-01"), d("2019-01-05"), 4, ), ( "4", d("2019-01-04"), d("2019-01-05"), d("2019-01-01"), d("2019-01-05"), 4, ), # Nested Segments ( "5", d("2019-01-01"), d("2019-01-04"), d("2019-01-01"), d("2019-01-05"), 5, ), ( "5", d("2019-01-02"), d("2019-01-03"), d("2019-01-01"), d("2019-01-05"), 5, ), ( "5", d("2019-01-04"), d("2019-01-05"), d("2019-01-01"), d("2019-01-05"), 5, ), # Segment entirely before window ( "6", d("2019-01-01"), d("2019-01-01"), d("2019-01-02"), d("2019-01-02"), 0, ), # Segment entirely after window ( "7", d("2019-01-04"), d("2019-01-05"), d("2019-01-01"), d("2019-01-03"), 0, ), # Segment wider than window ( "8", d("2019-01-01"), d("2019-01-05"), d("2019-01-02"), d("2019-01-03"), 2, ), # Two segments overlapping edge of window ( "9", d("2019-01-01"), d("2019-01-02"), d("2019-01-02"), d("2019-01-04"), 2, ), ( "9", d("2019-01-04"), d("2019-01-05"), d("2019-01-02"), d("2019-01-04"), 2, ), ], [ "entity_id", "segment_start_dt", "segment_end_dt", "window_start_dt", "window_end_dt", "covered_days", ], ) def test_covered_days_window_columns(self, spark_context): input_df = spark_context.createDataFrame(*self.input_df) res = covered_days( df=input_df.drop("covered_days"), group_col="entity_id", segment_start_dt_col="segment_start_dt", segment_end_dt_col="segment_end_dt", window_start_dt=F.col("window_start_dt"), window_end_dt=F.col("window_end_dt"), ) assert sorted(res.collect()) == sorted(input_df.collect()) def test_covered_days_window_dates(self, spark_context): input_df = spark_context.createDataFrame(*self.input_df).filter( F.col("entity_id") == "5" ) res = covered_days( df=input_df.drop("covered_days"), group_col="entity_id", segment_start_dt_col="segment_start_dt", segment_end_dt_col="segment_end_dt", window_start_dt=d("2019-01-01"), window_end_dt=d("2019-01-05"), ) assert sorted(res.collect()) == sorted(input_df.collect()) def test_first_event_in_x_days(spark_context): input_df = spark_context.createDataFrame( [ ("001", d("2019-01-01"), True), ("001", d("2019-01-15"), False), ("001", d("2019-01-22"), True), ("002", d("2019-01-25"), True), ("003", d("2019-03-01"), True), ("003", d("2019-04-01"), True), ("003", d("2019-05-01"), True), ("004", d("2019-06-01"), True), ("004", d("2019-06-01"), False), ("004", d("2019-06-22"), True), ("005", d("2019-01-01"), True), ("005", d("2019-01-22"), True), ("005", d("2019-01-25"), False), ], ["entity_id", "start_dt", "valid_event"], ) res = first_event_in_x_days( df=input_df.drop("valid_event"), group_col="entity_id", start_dt_col="start_dt", days=20, ) assert sorted(res.collect()) == sorted(input_df.collect()) def test_count_events_by_period( spark_context, ): input_df = spark_context.createDataFrame( [ ("001", "A", d("2018-01-01")), ("002", "B", d("2018-01-01")), ("002", "B", d("2018-05-01")), ("002", "C", d("2018-01-01")), ("003", "D", d("2019-01-01")), ("004", "E", d("2018-01-01")), ("004", "E", d("2018-03-01")), ("004", "E", d("2019-05-01")), ("004", "F", d("2018-01-01")), ], ["entity_id", "event_id", "start_dt"], ) res = count_events_by_period( df=input_df, group_col="entity_id", count_col="event_id", dt_col="start_dt", max_dt="2018-03-31", period="M", num_periods=3, count_unique=False, ) exp = spark_context.createDataFrame( [("001", 0, 0, 1), ("002", 0, 0, 2), ("003", 0, 0, 0), ("004", 1, 0, 2)], ["entity_id", "event_cnt_prd0", "event_cnt_prd1", "event_cnt_prd2"], ) assert sorted(res.collect()) == sorted(exp.collect()) class TestAge: input_df_static = ( [("001", d("2004-02-28")), ("002", d("2004-02-29")), ("003", d("2004-03-01"))], ["entity_id", "birth_dt"], ) output_df_feb28 = ([("001", 5), ("002", 5), ("003", 4)], ["entity_id", "age"]) output_df_mar01 = ([("001", 5), ("002", 5), ("003", 5)], ["entity_id", "age"]) output_df_feb28_leap = ([("001", 8), ("002", 7), ("003", 7)], ["entity_id", "age"]) output_df_mar01_leap = ([("001", 8), ("002", 8), ("003", 7)], ["entity_id", "age"]) @pytest.mark.parametrize( "df, age_dt, floor_sw, expected_output", [ (input_df_static, "2009-02-28", True, output_df_feb28), (input_df_static, "2009-03-01", True, output_df_mar01), (input_df_static, "2012-02-28", True, output_df_feb28_leap), (input_df_static, "2012-02-29", True, output_df_mar01_leap), ], ) def test_age(self, spark_context, df, age_dt, floor_sw, expected_output): res = spark_context.createDataFrame(*df).select( "entity_id", age("birth_dt", age_dt, floor_sw).alias("age") ) exp = spark_context.createDataFrame(*expected_output) assert sorted(res.collect()) == sorted(exp.collect())

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py

Python

enthought/mayavi/components/common.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

3

2016-12-09T06:05:18.000Z

2018-03-01T13:00:29.000Z

enthought/mayavi/components/common.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

1

2020-12-02T00:51:32.000Z

2020-12-02T08:48:55.000Z

enthought/mayavi/components/common.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

null

# proxy module from __future__ import absolute_import from mayavi.components.common import *

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py

Python

Day 30 Conclusions/conclusion.py

Sumanth-Talluri/30-Days-Of-Python

5acdca11126fa45b3d412f9a8555a592f3ec7374

[ "MIT" ]

3

2020-08-29T17:04:19.000Z

2020-09-12T13:28:29.000Z

Day 30 Conclusions/conclusion.py

Sumanth-Talluri/30Days-Of-Python

5acdca11126fa45b3d412f9a8555a592f3ec7374

[ "MIT" ]

null

Day 30 Conclusions/conclusion.py

Sumanth-Talluri/30Days-Of-Python

5acdca11126fa45b3d412f9a8555a592f3ec7374

[ "MIT" ]

1

2020-11-15T09:07:48.000Z

# No exercises on day 30

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src/game/__init__.py

berkerdemoglu/Chess

5d0d03112502596fbf3d0c1688350b9abc5bc788

[ "CC0-1.0" ]

1

2021-06-27T18:16:53.000Z

src/game/__init__.py

berkerdemoglu/Chess

5d0d03112502596fbf3d0c1688350b9abc5bc788

[ "CC0-1.0" ]

null

src/game/__init__.py

berkerdemoglu/Chess

5d0d03112502596fbf3d0c1688350b9abc5bc788

[ "CC0-1.0" ]

null

from .game import ChessGame from .launcher import Launcher, LAUNCHER_FEN_KEY, LAUNCHER_SETTINGS

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