xszheng2020/the_stack_dedup_python_hits_6 · Datasets at Hugging Face

2937dffa934589643ef47adc036dca58a6d11082

31

py

Python

src/cuda_slic/__init__.py

abonawas/cuda-slic

5264b81b12fa3049ccb9cab59257740422a13d21

[ "Apache-2.0" ]

6

2020-10-11T20:58:43.000Z

2022-03-14T15:19:05.000Z

src/cuda_slic/__init__.py

abonawas/cuda-slic

5264b81b12fa3049ccb9cab59257740422a13d21

[ "Apache-2.0" ]

1

2020-09-19T11:08:42.000Z

2020-09-26T20:14:30.000Z

src/cuda_slic/__init__.py

abonawas/cuda-slic

5264b81b12fa3049ccb9cab59257740422a13d21

[ "Apache-2.0" ]

1

2021-02-28T11:05:45.000Z

from .slic import slic # noqa

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py

Python

tests/e2e/test_navigation_page_non_student.py

elihschiff/Submitty

8b980997b6f1dfcd73eb4cf4cca43398e67f96dc

[ "BSD-3-Clause" ]

1

2019-02-27T21:20:14.000Z

tests/e2e/test_navigation_page_non_student.py

elihschiff/Submitty

8b980997b6f1dfcd73eb4cf4cca43398e67f96dc

[ "BSD-3-Clause" ]

2

2021-05-10T14:33:39.000Z

2022-01-06T19:47:03.000Z

tests/e2e/test_navigation_page_non_student.py

elihschiff/Submitty

8b980997b6f1dfcd73eb4cf4cca43398e67f96dc

[ "BSD-3-Clause" ]

1

2020-06-25T22:45:25.000Z

from .base_testcase import BaseTestCase class TestNavigationPageNonStudent(BaseTestCase): def __init__(self, testname): super().__init__(testname, log_in=False) def test_instructor(self): self.log_in(user_id="instructor", user_name="Quinn") self.click_class('sample') elements = self.driver.find_elements_by_class_name('course-section-heading') self.assertEqual(6, len(elements)) self.assertEqual("future", elements[0].get_attribute('id')) self.assertEqual(3, len(self.driver .find_element_by_id('future-section') .find_elements_by_class_name("gradeable-row"))) self.assertEqual("beta", elements[1].get_attribute('id')) self.assertEqual(3, len(self.driver .find_element_by_id('beta-section') .find_elements_by_class_name('gradeable-row'))) self.assertEqual("open", elements[2].get_attribute('id')) self.assertEqual(2, len(self.driver .find_element_by_id('open-section') .find_elements_by_class_name("gradeable-row"))) self.assertEqual("closed", elements[3].get_attribute('id')) self.assertEqual(2, len(self.driver .find_element_by_id('closed-section') .find_elements_by_class_name("gradeable-row"))) self.assertEqual("items_being_graded", elements[4].get_attribute('id')) self.assertEqual(6, len(self.driver .find_element_by_id('items_being_graded-section') .find_elements_by_class_name("gradeable-row"))) self.assertEqual("graded", elements[5].get_attribute('id')) self.assertEqual(9, len(self.driver .find_element_by_id('graded-section') .find_elements_by_class_name("gradeable-row"))) self.assertEqual(4, len(self.driver.find_element_by_class_name( 'gradeable-row').find_elements_by_class_name('course-button'))) def test_ta(self): self.log_in(user_id="ta", user_name="Jill") self.click_class('sample') elements = self.driver.find_elements_by_class_name('course-section-heading') self.assertEqual(5, len(elements)) self.assertEqual("beta", elements[0].get_attribute('id')) self.assertEqual(3, len(self.driver .find_element_by_id('beta-section') .find_elements_by_class_name("gradeable-row"))) self.assertEqual("open", elements[1].get_attribute('id')) self.assertEqual(2, len(self.driver .find_element_by_id('open-section') .find_elements_by_class_name("gradeable-row"))) self.assertEqual("closed", elements[2].get_attribute('id')) self.assertEqual(2, len(self.driver .find_element_by_id('closed-section') .find_elements_by_class_name("gradeable-row"))) self.assertEqual("items_being_graded", elements[3].get_attribute('id')) self.assertEqual(6, len(self.driver .find_element_by_id('items_being_graded-section') .find_elements_by_class_name("gradeable-row"))) self.assertEqual("graded", elements[4].get_attribute('id')) self.assertEqual(9, len(self.driver .find_element_by_id('graded-section') .find_elements_by_class_name("gradeable-row"))) self.assertEqual(3, len(self.driver.find_element_by_class_name( 'gradeable-row').find_elements_by_class_name('course-button'))) if __name__ == "__main__": import unittest unittest.main()

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2959fa74380a5e98bc9c3139b893878f6f0f467d

46

py

Python

clisops/utils/__init__.py

aulemahal/clisops

20bbd4662b6272ec0115425f009059b85c83121e

[ "BSD-3-Clause" ]

18

2020-05-19T21:22:37.000Z

2022-02-04T08:10:21.000Z

clisops/utils/__init__.py

aulemahal/clisops

20bbd4662b6272ec0115425f009059b85c83121e

[ "BSD-3-Clause" ]

166

2020-04-22T11:04:57.000Z

2022-03-31T11:14:21.000Z

clisops/utils/__init__.py

aulemahal/clisops

20bbd4662b6272ec0115425f009059b85c83121e

[ "BSD-3-Clause" ]

6

2020-04-02T14:30:21.000Z

2021-12-04T03:51:12.000Z

from .common import * from .tutorial import *

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py

Python

ietf/doc/migrations/0030_author_revamp_and_extra_attributes.py

ekr/ietfdb

8d936836b0b9ff31cda415b0a423e3f5b33ab695

[ "BSD-3-Clause-No-Nuclear-License-2014", "BSD-3-Clause" ]

null

ietf/doc/migrations/0030_author_revamp_and_extra_attributes.py

ekr/ietfdb

8d936836b0b9ff31cda415b0a423e3f5b33ab695

[ "BSD-3-Clause-No-Nuclear-License-2014", "BSD-3-Clause" ]

null

ietf/doc/migrations/0030_author_revamp_and_extra_attributes.py

ekr/ietfdb

8d936836b0b9ff31cda415b0a423e3f5b33ab695

[ "BSD-3-Clause-No-Nuclear-License-2014", "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('name', '0020_formallanguagename'), ('doc', '0029_update_rfc_authors'), ] operations = [ migrations.AddField( model_name='dochistory', name='words', field=models.IntegerField(null=True, blank=True), ), migrations.AddField( model_name='document', name='words', field=models.IntegerField(null=True, blank=True), ), migrations.AddField( model_name='dochistory', name='formal_languages', field=models.ManyToManyField(help_text=b'Formal languages used in document', to='name.FormalLanguageName', blank=True), ), migrations.AddField( model_name='document', name='formal_languages', field=models.ManyToManyField(help_text=b'Formal languages used in document', to='name.FormalLanguageName', blank=True), ), migrations.RemoveField( model_name='dochistory', name='authors', ), migrations.RemoveField( model_name='document', name='authors', ), migrations.AddField( model_name='dochistoryauthor', name='affiliation', field=models.CharField(help_text=b'Organization/company used by author for submission', max_length=100, blank=True), ), migrations.AddField( model_name='dochistoryauthor', name='country', field=models.CharField(blank=True, help_text=b'Country used by author for submission', max_length=255), ), migrations.RenameField( model_name='dochistoryauthor', old_name='author', new_name='email', ), migrations.AlterField( model_name='dochistoryauthor', name='email', field=models.ForeignKey(blank=True, to='person.Email', help_text=b'Email address used by author for submission', null=True), ), migrations.AddField( model_name='dochistoryauthor', name='person', field=models.ForeignKey(blank=True, to='person.Person', null=True), ), migrations.AddField( model_name='documentauthor', name='affiliation', field=models.CharField(help_text=b'Organization/company used by author for submission', max_length=100, blank=True), ), migrations.AddField( model_name='documentauthor', name='country', field=models.CharField(blank=True, help_text=b'Country used by author for submission', max_length=255), ), migrations.RenameField( model_name='documentauthor', old_name='author', new_name='email', ), migrations.AlterField( model_name='documentauthor', name='email', field=models.ForeignKey(blank=True, to='person.Email', help_text=b'Email address used by author for submission', null=True), ), migrations.AddField( model_name='documentauthor', name='person', field=models.ForeignKey(blank=True, to='person.Person', null=True), ), migrations.AlterField( model_name='dochistoryauthor', name='document', field=models.ForeignKey(related_name='documentauthor_set', to='doc.DocHistory'), ), migrations.AlterField( model_name='dochistoryauthor', name='order', field=models.IntegerField(default=1), ), migrations.RunSQL("update doc_documentauthor a inner join person_email e on a.email_id = e.address set a.person_id = e.person_id;", migrations.RunSQL.noop), migrations.RunSQL("update doc_dochistoryauthor a inner join person_email e on a.email_id = e.address set a.person_id = e.person_id;", migrations.RunSQL.noop), migrations.AlterField( model_name='documentauthor', name='person', field=models.ForeignKey(to='person.Person'), ), migrations.AlterField( model_name='dochistoryauthor', name='person', field=models.ForeignKey(to='person.Person'), ), ]

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4666cfaea01ade273e666c93e968af98aa8c0522

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py

Python

lambda_assistant/mysql/__init__.py

matiasvallejosdev/py-aws-lambda-handlers

4643042bc02e557bb4a2953118de5f4eb5320d70

[ "Apache-2.0" ]

null

lambda_assistant/mysql/__init__.py

matiasvallejosdev/py-aws-lambda-handlers

4643042bc02e557bb4a2953118de5f4eb5320d70

[ "Apache-2.0" ]

null

lambda_assistant/mysql/__init__.py

matiasvallejosdev/py-aws-lambda-handlers

4643042bc02e557bb4a2953118de5f4eb5320d70

[ "Apache-2.0" ]

null

from .client_handler import * from .query_handler import *

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4673e4345ba185c95a2c882c41b167234bf6fb32

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py

Python

info.py

noahjepstein/textbot

de18f929356b1a059b3cee93348d14a689497684

[ "MIT" ]

null

info.py

noahjepstein/textbot

de18f929356b1a059b3cee93348d14a689497684

[ "MIT" ]

null

info.py

noahjepstein/textbot

de18f929356b1a059b3cee93348d14a689497684

[ "MIT" ]

null

MY_NUM = +19788613167 ACC_SID = ACa67744d6b745da5a52af5e441bbba8d1 ACC_KEY = 6d3d93eeacb9cb2d8893b3321c8e4691

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d3bdc17e74d5faaf566fbf3894cdcb6c74fbc2ad

25

py

Python

modules/__init__.py

Infosecurity-LLC/unicon_v3

12009016e74328f7f90be84e334659b80240266e

[ "Apache-2.0" ]

1

2022-02-04T10:01:45.000Z

modules/__init__.py

Infosecurity-LLC/unicon_v3

12009016e74328f7f90be84e334659b80240266e

[ "Apache-2.0" ]

null

modules/__init__.py

Infosecurity-LLC/unicon_v3

12009016e74328f7f90be84e334659b80240266e

[ "Apache-2.0" ]

1

2022-02-04T10:01:46.000Z

from . import connectors

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py

Python

credentials.py

LucioZanette/vacibot

06b738639d2592cdeda538a4e006220b5ed9be87

[ "MIT" ]

null

credentials.py

LucioZanette/vacibot

06b738639d2592cdeda538a4e006220b5ed9be87

[ "MIT" ]

null

credentials.py

LucioZanette/vacibot

06b738639d2592cdeda538a4e006220b5ed9be87

[ "MIT" ]

null

connection_params = 'user/password@hostname/oracledbname' #credenciais do oracle DB login_vacivida= '{"Data":{"Login":"xxxxxx","Senha":"yyyyyy"}}' #credenciais do Vacivida

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31aaf08b283ee4df722d57b2179dbf24d8a8adfe

78

py

Python

notebook/book/python/Learn-OOP-with-Python/Chapter-2/python_init_test/module_2/module_2_module_1/__init__.py

JMwill/note

30e931f18c9ba942f5e5040b524047a996cf0c6c

[ "MIT" ]

null

notebook/book/python/Learn-OOP-with-Python/Chapter-2/python_init_test/module_2/module_2_module_1/__init__.py

JMwill/note

30e931f18c9ba942f5e5040b524047a996cf0c6c

[ "MIT" ]

2

2018-11-27T10:45:45.000Z

2018-12-13T14:44:54.000Z

notebook/book/python/Learn-OOP-with-Python/Chapter-2/python_init_test/module_2/module_2_module_1/__init__.py

JMwill/note

30e931f18c9ba942f5e5040b524047a996cf0c6c

[ "MIT" ]

null

from .say import say from .module_2_module_1_module_1 import say as module_say

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31c4bbe6aa76515b8fa23edd69e4de916b89503e

46

py

Python

deep_nlp/__init__.py

FabianBell/deepl_framework

c62ac799f5c98f7de07796c4df6d046080f5b096

[ "MIT" ]

1

2021-05-05T10:05:50.000Z

deep_nlp/__init__.py

FabianBell/deepl_framework

c62ac799f5c98f7de07796c4df6d046080f5b096

[ "MIT" ]

null

deep_nlp/__init__.py

FabianBell/deepl_framework

c62ac799f5c98f7de07796c4df6d046080f5b096

[ "MIT" ]

null

from .framework import * from .utils import *

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9efd56d50cff2cb6d29b2c6a198fe36620bddf43

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py

Python

cracking_the_coding_interview_qs/16.5/zeros.py

angelusualle/algorithms

86286a49db2a755bc57330cb455bcbd8241ea6be

[ "Apache-2.0" ]

null

cracking_the_coding_interview_qs/16.5/zeros.py

angelusualle/algorithms

86286a49db2a755bc57330cb455bcbd8241ea6be

[ "Apache-2.0" ]

null

cracking_the_coding_interview_qs/16.5/zeros.py

angelusualle/algorithms

86286a49db2a755bc57330cb455bcbd8241ea6be

[ "Apache-2.0" ]

null

def zeros(n): return n // 5

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7322abe1b08a4e4aab625a53f2ce088299aaeb55

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py

Python

src/lib/stat.py

DTenore/skulpt

098d20acfb088d6db85535132c324b7ac2f2d212

[ "MIT" ]

2,671

2015-01-03T08:23:25.000Z

2022-03-31T06:15:48.000Z

src/lib/stat.py

wakeupmuyunhe/skulpt

a8fb11a80fb6d7c016bab5dfe3712517a350b347

[ "MIT" ]

972

2015-01-05T08:11:00.000Z

2022-03-29T13:47:15.000Z

src/lib/stat.py

wakeupmuyunhe/skulpt

a8fb11a80fb6d7c016bab5dfe3712517a350b347

[ "MIT" ]

845

2015-01-03T19:53:36.000Z

2022-03-29T18:34:22.000Z

import _sk_fail; _sk_fail._("stat")

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py

Python

flextensor/baselines/unpooling1d_baseline.py

imxian/FlexTensor

311af3362856ea1b0073404fffad42c54585c205

[ "MIT" ]

135

2020-03-15T11:28:48.000Z

2022-03-26T00:54:32.000Z

flextensor/baselines/unpooling1d_baseline.py

imxian/FlexTensor

311af3362856ea1b0073404fffad42c54585c205

[ "MIT" ]

11

2020-03-23T11:06:38.000Z

2022-01-24T06:25:41.000Z

flextensor/baselines/unpooling1d_baseline.py

imxian/FlexTensor

311af3362856ea1b0073404fffad42c54585c205

[ "MIT" ]

32

2020-03-17T05:12:59.000Z

2022-03-26T00:54:33.000Z

import argparse import timeit import torch import time import tvm import topi import numpy as np from flextensor.configs.maxunpooling1d_config import maxunpooling1d_shape from flextensor.task import maxunpooling1d torch.backends.cudnn.enabled = False def pytorch_cpu(B, C, L, kernel_size, stride, padding, number=10, dev=0): Input = torch.rand([B, C, L], dtype=torch.float32) maxpool = torch.nn.MaxPool1d(kernel_size, stride=stride, padding=padding, return_indices=True) Input, indices = maxpool(Input) begin_time = time.time() unpool = torch.nn.MaxUnpool1d(kernel_size, stride=stride, padding=padding) for i in range(number): output = unpool(Input, indices) end_time = time.time() # ms return (end_time - begin_time) * 1e3 / number def pytorch_cuda(B, C, L, kernel_size, stride, padding, number=10, dev=0): Input = torch.rand([B, C, L], dtype=torch.float32).cuda("cuda:" + str(dev)) maxpool = torch.nn.MaxPool1d(kernel_size, stride=stride, padding=padding, return_indices=True).cuda("cuda:" + str(dev)) Input, indices = maxpool(Input) begin_time = time.time() unpool = torch.nn.MaxUnpool1d(kernel_size, stride=stride, padding=padding).cuda("cuda:" + str(dev)) for i in range(number): output = unpool(Input, indices) end_time = time.time() # ms return (end_time - begin_time) * 1e3 / number def tvm_unpool1d_cpu(B, C, L, kernel_size, stride, padding, number=10, dev=0): Input = torch.rand([B, C, L], dtype=torch.float32).cuda("cuda:" + str(dev)) maxpool = torch.nn.MaxPool1d(kernel_size, stride=stride, padding=padding, return_indices=True).cuda("cuda:" + str(dev)) Input, indices = maxpool(Input) Input = Input.cpu() indices = indices.cpu() s, bufs = maxunpooling1d(B, C, Input.shape[2], kernel_size, stride, padding) s = tvm.te.create_schedule(s) ctx = tvm.cpu(dev) f = tvm.build(s, bufs, 'llvm') im = tvm.nd.array(Input.numpy().astype(np.float32), ctx) fi = tvm.nd.array(indices.numpy().astype(np.float32), ctx) in_length = Input.shape[2] out_length = (in_length - 1) * stride - 2 * padding + kernel_size output_shape = (B, C, out_length) un = tvm.nd.array(np.zeros(output_shape).astype(np.float32), ctx) start_time = time.time() for i in range(number): f(im, fi, un) end_time = time.time() return (end_time - start_time) * 1e3 / number def tvm_unpool1d_cuda(B, C, L, kernel_size, stride, padding, number=10, dev=0): Input = torch.rand([B, C, L], dtype=torch.float32).cuda("cuda:" + str(dev)) maxpool = torch.nn.MaxPool1d(kernel_size, stride=stride, padding=padding, return_indices=True).cuda("cuda:" + str(dev)) Input, indices = maxpool(Input) Input = Input.cpu() indices = indices.cpu() s, bufs = maxunpooling1d(B, C, Input.shape[2], kernel_size, stride, padding) s = tvm.te.create_schedule(s) f = tvm.build(s, bufs, "cuda") ctx = tvm.context("cuda", dev_id=dev) im = tvm.nd.array(Input.numpy().astype(np.float32), ctx) fi = tvm.nd.array(indices.numpy().astype(np.float32), ctx) in_length = Input.shape[2] out_length = (in_length - 1) * stride - 2 * padding + kernel_size output_shape = (B, C, out_length) un = tvm.nd.array(np.zeros(output_shape).astype(np.float32), ctx) start_time = time.time() for i in range(number): f(im, fi, un) end_time = time.time() return (end_time - start_time) * 1e3 / number if __name__ == "__main__": shapes = maxunpooling1d_shape """warm up""" cost = pytorch_cpu(*shapes[0]) cost = pytorch_cuda(*shapes[0]) cost = tvm_unpool1d_cpu(*shapes[0]) # cost = tvm_unpool1d_cuda(*shapes[0]) for shape in shapes: print("Shape", shape) cost = pytorch_cpu(*shape) print("Pytorch cost on cpu: {}ms".format(cost)) cost = pytorch_cuda(*shape) print("Pytorch cost on cuda: {}ms".format(cost)) cost = tvm_unpool1d_cpu(*shape) print("Tvm cost on cpu: {}ms".format(cost)) print("Done!")

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Python

venv/lib/python3.8/site-packages/setuptools/_distutils/command/bdist_wininst.py

Retraces/UkraineBot

3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71

[ "MIT" ]

2

2022-03-13T01:58:52.000Z

2022-03-31T06:07:54.000Z

venv/lib/python3.8/site-packages/setuptools/_distutils/command/bdist_wininst.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

19

2021-11-20T04:09:18.000Z

2022-03-23T15:05:55.000Z

venv/lib/python3.8/site-packages/setuptools/_distutils/command/bdist_wininst.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

null

/home/runner/.cache/pip/pool/88/69/5a/23e55f1251ce9de79ccca1d69d23796b5d3eec831c25a5ee47599d4b77

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7355caf50314da06555fbe7d5d103233e9a65ea8

289

py

Python

bitmovin_api_sdk/encoding/encodings/muxings/mxf/__init__.py

jaythecaesarean/bitmovin-api-sdk-python

48166511fcb9082041c552ace55a9b66cc59b794

[ "MIT" ]

11

2019-07-03T10:41:16.000Z

2022-02-25T21:48:06.000Z

bitmovin_api_sdk/encoding/encodings/muxings/mxf/__init__.py

jaythecaesarean/bitmovin-api-sdk-python

48166511fcb9082041c552ace55a9b66cc59b794

[ "MIT" ]

8

2019-11-23T00:01:25.000Z

2021-04-29T12:30:31.000Z

bitmovin_api_sdk/encoding/encodings/muxings/mxf/__init__.py

jaythecaesarean/bitmovin-api-sdk-python

48166511fcb9082041c552ace55a9b66cc59b794

[ "MIT" ]

13

2020-01-02T14:58:18.000Z

2022-03-26T12:10:30.000Z

from bitmovin_api_sdk.encoding.encodings.muxings.mxf.mxf_api import MxfApi from bitmovin_api_sdk.encoding.encodings.muxings.mxf.customdata.customdata_api import CustomdataApi from bitmovin_api_sdk.encoding.encodings.muxings.mxf.mxf_muxing_list_query_params import MxfMuxingListQueryParams

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b41b65da9874c783f2f946a81844417a51f56410

32

py

Python

hatesonar/__init__.py

r00tr00tr00t/HateSonar

ede963e22ada7e0a68e55c7bf4bc0e04d0e78919

[ "MIT" ]

155

2018-01-26T12:22:49.000Z

2022-03-29T05:33:52.000Z

hatesonar/__init__.py

r00tr00tr00t/HateSonar

ede963e22ada7e0a68e55c7bf4bc0e04d0e78919

[ "MIT" ]

78

2018-02-21T12:50:42.000Z

2022-03-28T20:49:32.000Z

hatesonar/__init__.py

r00tr00tr00t/HateSonar

ede963e22ada7e0a68e55c7bf4bc0e04d0e78919

[ "MIT" ]

38

2018-02-22T13:48:28.000Z

2022-03-02T20:13:37.000Z

from hatesonar.api import Sonar

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6

b44900768f0195fe417b4844443ab5a7ef7e2d99

74

py

Python

src/models/__init__.py

FHellmann/Deformable_Dilated_Faster-RCNN

53e7ddcd6b3b8c7c38451cf08529d2792494c658

[ "MIT" ]

1

2021-10-09T03:05:16.000Z

src/models/__init__.py

FHellmann/Deformable_Dilated_Faster-RCNN

53e7ddcd6b3b8c7c38451cf08529d2792494c658

[ "MIT" ]

null

src/models/__init__.py

FHellmann/Deformable_Dilated_Faster-RCNN

53e7ddcd6b3b8c7c38451cf08529d2792494c658

[ "MIT" ]

2

2021-03-02T12:06:14.000Z

2021-11-20T16:02:43.000Z

from .faster_rcnn_models import FasterRCNNType, faster_rcnn_model_builder

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6

c372a3af13901bfb1319bd7474439ce9d3dff170

122

py

Python

vol1/29.py

EdisonAlgorithms/ProjectEuler

95025ede2c92dbd3ed2dccc0f8a97e9a3db95ef0

[ "MIT" ]

null

vol1/29.py

EdisonAlgorithms/ProjectEuler

95025ede2c92dbd3ed2dccc0f8a97e9a3db95ef0

[ "MIT" ]

null

vol1/29.py

EdisonAlgorithms/ProjectEuler

95025ede2c92dbd3ed2dccc0f8a97e9a3db95ef0

[ "MIT" ]

null

if __name__ == '__main__' : s = set() for i in range(2, 101) : for j in range(2, 101) : s.add(i ** j) print len(s)

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6

c377044a58977c130aa520c9881f712dc8dcb14c

1,847

py

Python

tests/testdata.py

pombredanne/cdifflib

a89906a0ac8f5f4fba2349e872a9259bf7c20e83

[ "BSD-3-Clause" ]

18

2016-01-16T08:46:40.000Z

2022-03-18T12:45:33.000Z

tests/testdata.py

mduggan/cdifflib

e2f561306d50880930da246517d2a5f5eb8006ae

[ "BSD-3-Clause" ]

6

2017-07-07T15:53:59.000Z

2019-12-05T11:18:51.000Z

tests/testdata.py

pombredanne/cdifflib

a89906a0ac8f5f4fba2349e872a9259bf7c20e83

[ "BSD-3-Clause" ]

5

2018-02-07T13:11:06.000Z

2022-02-11T12:07:02.000Z

""" Test data from bug https://github.com/mduggan/cdifflib/issues/5 Revealed some bugs with autojunk handling """ a5 = [ 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 124, 16, 12, 12, 12, 108, 588, 1316, 12, 8, 42, 6, 168, 36, 12, 10, 10, 158, 36, 10, 24, 152, 914, 84, 216, 4, 10, 254, 8, 40, 54, 20, 12, 54, 38, 10, 8, 310, 6, 580, 28, 20, 44, 12, 24, 34, 44, 4, 20, 8, 16, 14, 12, 8, 12, 20, 14, 28, 12, 24, 6, 12, 372, 544, 1212, 28, 64, 12, 16, 16, 34, 146, 70, 284, 110, 206, 354, 612, 16, 12, 18, 6, 18, 6, 6, 20, 6, 12, 12, 12, 20, 12, 12, 12, 20, 12, 12, 358, 258, 12, 54, 20, 8, 8, 6, 16, 12, 6, 112, 130, 16, 8, 26, 8, 8, 44, 44, 22, 88, 314, 394, 588, 122, 6, 644, 6, 32, 24, 924, 10, 66, 22, 270, 16, 1340, 2408, 54, 452, 158, 1950, 382, 594, 38, 110, 106, 40, 56, 5302, 1398, 6, 1016, 814, 46, 112, 14, 6, 14, 12, 6, 6, 46, 16, 80, 80, 68, 84, 82, 6, 1224, 518 ] b5 = [ 284, 6, 528, 64, 16, 230, 254, 6, 162, 350, 28, 22, 88, 18, 136, 64, 36, 32, 102, 14, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 124, 16, 12, 12, 12, 108, 588, 1312, 12, 8, 42, 6, 168, 36, 12, 10, 10, 158, 36, 10, 26, 154, 906, 82, 214, 4, 10, 242, 8, 38, 54, 20, 14, 54, 38, 10, 8, 314, 6, 574, 28, 20, 38, 12, 24, 22, 44, 4, 20, 8, 16, 12, 12, 8, 12, 20, 14, 24, 12, 24, 6, 12, 382, 544, 1212, 28, 64, 12, 16, 16, 34, 146, 70, 284, 110, 206, 354, 612, 16, 12, 18, 6, 18, 6, 6, 20, 6, 12, 12, 12, 20, 12, 12, 12, 20, 12, 12, 358, 258, 12, 54, 20, 8, 8, 6, 16, 12, 6, 112, 130, 16, 8, 26, 8, 8, 44, 44, 22, 88, 314, 394, 588, 122, 6, 644, 6, 32, 24, 924, 10, 66, 22, 270, 16, 1340, 2408, 54, 452, 158, 1950, 382, 594, 38, 110, 106, 40, 56, 5302, 1398, 6, 1016, 814, 46, 112, 14, 6, 14, 12, 6 ]

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6f156b34e4fe782d12d3b38df6d0583759ae93f5

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py

Python

results/tests/test_views_competitions.py

sal-kiti/sal-k

ac1e4ea1a7b5edfc1088666fba246a4e7042cac0

[ "MIT" ]

1

2021-06-12T08:46:32.000Z

results/tests/test_views_competitions.py

sal-kiti/sal-k

ac1e4ea1a7b5edfc1088666fba246a4e7042cac0

[ "MIT" ]

8

2020-07-01T15:06:52.000Z

2022-02-20T09:11:23.000Z

results/tests/test_views_competitions.py

sal-kiti/sal-k

ac1e4ea1a7b5edfc1088666fba246a4e7042cac0

[ "MIT" ]

3

2020-03-01T17:02:24.000Z

2020-07-05T14:37:59.000Z

from django.contrib.auth.models import Group, User from django.test import TestCase, override_settings from rest_framework import status from rest_framework.test import APIRequestFactory from rest_framework.test import force_authenticate from results.models.competitions import CompetitionLevel, CompetitionType, CompetitionResultType, Competition from results.models.competitions import CompetitionLayout from results.tests.factories.competitions import CompetitionFactory, CompetitionLevelFactory, CompetitionTypeFactory from results.tests.factories.competitions import CompetitionResultTypeFactory, CompetitionLayoutFactory from results.tests.utils import ResultsTestCase from results.views.competitions import CompetitionLevelViewSet, CompetitionTypeViewSet, CompetitionResultTypeViewSet from results.views.competitions import CompetitionViewSet, CompetitionLayoutViewSet class CompetitionLevelTestCase(ResultsTestCase): def setUp(self): self.factory = APIRequestFactory() self.user = User.objects.create(username='tester') self.staff_user = User.objects.create(username="staffuser", is_staff=True) self.superuser = User.objects.create(username="superuser", is_superuser=True) self.object = CompetitionLevelFactory.create() self.data = {'name': self.object.name, 'abbreviation': self.object.abbreviation, 'historical': self.object.historical} self.newdata = {'name': 'Championships', 'abbreviation': 'Champ'} self.url = '/api/competitionlevels/' self.viewset = CompetitionLevelViewSet self.model = CompetitionLevel def test_competition_level_access_list(self): request = self.factory.get(self.url) view = self.viewset.as_view(actions={'get': 'list'}) response = view(request) self.assertEqual(response.status_code, status.HTTP_200_OK) def test_competition_level_access_object_without_user(self): response = self._test_access(user=None) self.assertEqual(response.status_code, status.HTTP_200_OK) for key in self.data: self.assertEqual(response.data[key], self.data[key]) def test_competition_level_access_object_with_normal_user(self): response = self._test_access(user=self.user) self.assertEqual(response.status_code, status.HTTP_200_OK) for key in self.data: self.assertEqual(response.data[key], self.data[key]) def test_competition_level_update_without_user(self): response = self._test_update(user=None, data=self.newdata) self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED) def test_competition_level_update_with_superuser(self): response = self._test_update(user=self.superuser, data=self.newdata) self.assertEqual(response.status_code, status.HTTP_200_OK) def test_competition_level_update_with_staffruser(self): response = self._test_update(user=self.staff_user, data=self.newdata) self.assertEqual(response.status_code, status.HTTP_200_OK) def test_competition_level_update_with_normal_user(self): response = self._test_update(user=self.user, data=self.newdata) self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN) def test_competition_level_create_without_user(self): response = self._test_create(user=None, data=self.newdata) self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED) def test_competition_level_create_with_superuser(self): response = self._test_create(user=self.superuser, data=self.newdata) self.assertEqual(response.status_code, status.HTTP_201_CREATED) self.assertEqual(self.model.objects.all().count(), 2) for key in self.newdata: self.assertEqual(response.data[key], self.newdata[key]) def test_competition_level_create_existing_with_superuser(self): response = self._test_create(user=self.superuser, data=self.data) self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST) def test_competition_level_create_with_staffuser(self): response = self._test_create(user=self.staff_user, data=self.newdata) self.assertEqual(response.status_code, status.HTTP_201_CREATED) self.assertEqual(self.model.objects.all().count(), 2) for key in self.newdata: self.assertEqual(response.data[key], self.newdata[key]) def test_competition_level_create_existing_with_staffuser(self): response = self._test_create(user=self.staff_user, data=self.data) self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST) def test_competition_level_create_with_normal_user(self): response = self._test_create(user=self.user, data=self.newdata) self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN) def test_competition_level_delete_with_user(self): response = self._test_delete(user=self.user) self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN) def test_competition_level_delete_with_superuser(self): response = self._test_delete(user=self.superuser) self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT) def test_competition_level_delete_with_staffuser(self): response = self._test_delete(user=self.staff_user) self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT) class CompetitionTypeTestCase(ResultsTestCase): def setUp(self): self.factory = APIRequestFactory() self.user = User.objects.create(username='tester') self.staff_user = User.objects.create(username="staffuser", is_staff=True) self.superuser = User.objects.create(username="superuser", is_superuser=True) self.object = CompetitionTypeFactory.create() self.data = {'name': self.object.name, 'abbreviation': self.object.abbreviation, 'number_of_rounds': self.object.number_of_rounds, 'max_result': self.object.max_result, 'min_result': self.object.min_result, 'historical': self.object.historical} self.newdata = {'name': '50 yards', 'abbreviation': '50y', 'number_of_rounds': 2} self.url = '/api/competitiontypes/' self.viewset = CompetitionTypeViewSet self.model = CompetitionType def test_competition_type_access_list(self): request = self.factory.get(self.url) view = self.viewset.as_view(actions={'get': 'list'}) response = view(request) self.assertEqual(response.status_code, status.HTTP_200_OK) def test_competition_type_access_object_without_user(self): response = self._test_access(user=None) self.assertEqual(response.status_code, status.HTTP_200_OK) for key in self.data: if key in ['max_result', 'min_result']: self.assertEqual(response.data[key], str(self.data[key])) else: self.assertEqual(response.data[key], self.data[key]) def test_competition_type_access_object_with_normal_user(self): response = self._test_access(user=self.user) self.assertEqual(response.status_code, status.HTTP_200_OK) for key in self.data: if key in ['max_result', 'min_result']: self.assertEqual(response.data[key], str(self.data[key])) else: self.assertEqual(response.data[key], self.data[key]) def test_competition_type_update_without_user(self): response = self._test_update(user=None, data=self.newdata) self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED) def test_competition_type_update_with_superuser(self): response = self._test_update(user=self.superuser, data=self.newdata) self.assertEqual(response.status_code, status.HTTP_200_OK) def test_competition_type_update_with_staffruser(self): response = self._test_update(user=self.staff_user, data=self.newdata) self.assertEqual(response.status_code, status.HTTP_200_OK) def test_competition_type_update_with_normal_user(self): response = self._test_update(user=self.user, data=self.newdata) self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN) def test_competition_type_create_without_user(self): response = self._test_create(user=None, data=self.newdata) self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED) def test_competition_type_create_with_superuser(self): response = self._test_create(user=self.superuser, data=self.newdata) self.assertEqual(response.status_code, status.HTTP_201_CREATED) self.assertEqual(self.model.objects.all().count(), 2) for key in self.newdata: self.assertEqual(response.data[key], self.newdata[key]) def test_competition_type_create_existing_with_superuser(self): response = self._test_create(user=self.superuser, data=self.data) self.assertEqual(response.status_code, status.HTTP_201_CREATED) def test_competition_type_create_with_staffuser(self): response = self._test_create(user=self.staff_user, data=self.newdata) self.assertEqual(response.status_code, status.HTTP_201_CREATED) self.assertEqual(self.model.objects.all().count(), 2) for key in self.newdata: self.assertEqual(response.data[key], self.newdata[key]) def test_competition_type_create_existing_with_staffuser(self): response = self._test_create(user=self.staff_user, data=self.data) self.assertEqual(response.status_code, status.HTTP_201_CREATED) def test_competition_type_create_with_normal_user(self): response = self._test_create(user=self.user, data=self.newdata) self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN) def test_competition_type_delete_with_user(self): response = self._test_delete(user=self.user) self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN) def test_competition_type_delete_with_superuser(self): response = self._test_delete(user=self.superuser) self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT) def test_competition_type_delete_with_staffuser(self): response = self._test_delete(user=self.staff_user) self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT) class CompetitionResultTypeTestCase(ResultsTestCase): def setUp(self): self.factory = APIRequestFactory() self.user = User.objects.create(username='tester') self.staff_user = User.objects.create(username="staffuser", is_staff=True) self.superuser = User.objects.create(username="superuser", is_superuser=True) self.object = CompetitionResultTypeFactory.create() self.data = {'competition_type': self.object.competition_type.id, 'name': self.object.name, 'abbreviation': self.object.abbreviation, 'max_result': self.object.max_result, 'min_result': self.object.min_result} self.newdata = {'competition_type': self.object.competition_type.id, 'name': 'Finals', 'abbreviation': "fin"} self.url = '/api/competitionresulttypes/' self.viewset = CompetitionResultTypeViewSet self.model = CompetitionResultType def test_competition_result_type_access_list(self): request = self.factory.get(self.url) view = self.viewset.as_view(actions={'get': 'list'}) response = view(request) self.assertEqual(response.status_code, status.HTTP_200_OK) def test_competition_result_type_access_object_without_user(self): response = self._test_access(user=None) self.assertEqual(response.status_code, status.HTTP_200_OK) for key in self.data: if key in ['max_result', 'min_result']: self.assertEqual(response.data[key], str(self.data[key])) else: self.assertEqual(response.data[key], self.data[key]) def test_competition_result_type_access_object_with_normal_user(self): response = self._test_access(user=self.user) self.assertEqual(response.status_code, status.HTTP_200_OK) for key in self.data: if key in ['max_result', 'min_result']: self.assertEqual(response.data[key], str(self.data[key])) else: self.assertEqual(response.data[key], self.data[key]) def test_competition_result_type_update_without_user(self): response = self._test_update(user=None, data=self.newdata) self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED) def test_competition_result_type_update_with_superuser(self): response = self._test_update(user=self.superuser, data=self.newdata) self.assertEqual(response.status_code, status.HTTP_200_OK) def test_competition_result_type_update_with_staffruser(self): response = self._test_update(user=self.staff_user, data=self.newdata) self.assertEqual(response.status_code, status.HTTP_200_OK) def test_competition_result_type_update_with_normal_user(self): response = self._test_update(user=self.user, data=self.newdata) self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN) def test_competition_result_type_create_without_user(self): response = self._test_create(user=None, data=self.newdata) self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED) def test_competition_result_type_create_with_superuser(self): response = self._test_create(user=self.superuser, data=self.newdata) self.assertEqual(response.status_code, status.HTTP_201_CREATED) self.assertEqual(self.model.objects.all().count(), 2) for key in self.newdata: self.assertEqual(response.data[key], self.newdata[key]) def test_competition_result_type_create_existing_with_superuser(self): response = self._test_create(user=self.superuser, data=self.data) self.assertEqual(response.status_code, status.HTTP_201_CREATED) def test_competition_result_type_create_with_staffuser(self): response = self._test_create(user=self.staff_user, data=self.newdata) self.assertEqual(response.status_code, status.HTTP_201_CREATED) self.assertEqual(self.model.objects.all().count(), 2) for key in self.newdata: self.assertEqual(response.data[key], self.newdata[key]) def test_competition_result_type_create_existing_with_staffuser(self): response = self._test_create(user=self.staff_user, data=self.data) self.assertEqual(response.status_code, status.HTTP_201_CREATED) def test_competition_result_type_create_with_normal_user(self): response = self._test_create(user=self.user, data=self.newdata) self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN) def test_competition_result_type_delete_with_user(self): response = self._test_delete(user=self.user) self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN) def test_competition_result_type_delete_with_superuser(self): response = self._test_delete(user=self.superuser) self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT) def test_competition_result_type_delete_with_staffuser(self): response = self._test_delete(user=self.staff_user) self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT) class CompetitionLayoutTestCase(TestCase): def setUp(self): self.factory = APIRequestFactory() self.user = User.objects.create(username='tester') self.superuser = User.objects.create(username="superuser", is_superuser=True) self.object = CompetitionLayoutFactory.create() self.data = {'type': self.object.type, 'name': self.object.name, 'label': self.object.label, 'block': self.object.block, 'row': self.object.row, 'col': self.object.col, 'order': self.object.order, 'hide': self.object.hide, 'show': self.object.show} self.newdata = {'type': self.object.type, 'name': self.object.name, 'label': self.object.label, 'block': 2, 'row': 2, 'col': 2, 'order': 2, 'hide': self.object.hide, 'show': self.object.show} self.url = '/api/competitiontypelayouts/' self.viewset = CompetitionLayoutViewSet self.model = CompetitionLayout def test_competition_type_layout_access_list(self): request = self.factory.get(self.url) view = self.viewset.as_view(actions={'get': 'list'}) response = view(request) self.assertEqual(response.status_code, status.HTTP_200_OK) def test_competition_type_layout_access_object_without_user(self): request = self.factory.get(self.url + '1/') view = self.viewset.as_view(actions={'get': 'retrieve'}) response = view(request, pk=self.object.pk) self.assertEqual(response.status_code, status.HTTP_200_OK) for key in self.data: self.assertEqual(response.data[key], self.data[key]) def test_competition_type_layout_update_without_user(self): request = self.factory.post(self.url + '1/', self.newdata) view = self.viewset.as_view(actions={'put': 'update'}) response = view(request, pk=1) self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED) def test_competition_type_layout_create_without_user(self): request = self.factory.post(self.url, self.newdata) view = self.viewset.as_view(actions={'post': 'create'}) response = view(request) self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED) def test_competition_type_layout_access_object_with_normal_user(self): request = self.factory.get(self.url + '1/') force_authenticate(request, user=self.user) view = self.viewset.as_view(actions={'get': 'retrieve'}) response = view(request, pk=self.object.pk) self.assertEqual(response.status_code, status.HTTP_200_OK) for key in self.data: self.assertEqual(response.data[key], self.data[key]) def test_competition_type_layout_update_with_normal_user(self): request = self.factory.post(self.url + '1/', self.newdata) force_authenticate(request, user=self.user) view = self.viewset.as_view(actions={'put': 'update'}) response = view(request, pk=1) self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN) def test_competition_type_layout_create_with_normal_user(self): request = self.factory.post(self.url, self.newdata) force_authenticate(request, user=self.user) view = self.viewset.as_view(actions={'post': 'create'}) response = view(request) self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN) def test_competition_type_layout_update_with_superuser(self): request = self.factory.put(self.url + '1/', self.newdata) force_authenticate(request, user=self.superuser) view = self.viewset.as_view(actions={'put': 'update'}) response = view(request, pk=1) self.assertEqual(response.status_code, status.HTTP_200_OK) def test_competition_type_layout_create_with_superuser(self): request = self.factory.post(self.url, self.newdata) force_authenticate(request, user=self.superuser) view = self.viewset.as_view(actions={'post': 'create'}) response = view(request) self.assertEqual(response.status_code, status.HTTP_201_CREATED) self.assertEqual(self.model.objects.all().count(), 2) def test_competition_type_layout_create_existing_with_superuser(self): request = self.factory.post(self.url, self.data) force_authenticate(request, user=self.superuser) view = self.viewset.as_view(actions={'post': 'create'}) response = view(request) self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST) self.assertEqual(self.model.objects.all().count(), 1) def test_competition_type_layout_delete_with_user(self): request = self.factory.delete(self.url + '1/') force_authenticate(request, user=self.user) view = self.viewset.as_view(actions={'delete': 'destroy'}) response = view(request, pk=1) self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN) def test_competition_type_layout_delete_with_superuser(self): request = self.factory.delete(self.url + '1/') force_authenticate(request, user=self.superuser) view = self.viewset.as_view(actions={'delete': 'destroy'}) response = view(request, pk=1) self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT) class CompetitionTestCase(ResultsTestCase): def setUp(self): self.factory = APIRequestFactory() self.user = User.objects.create(username='tester') self.group = Group.objects.create(name="testgroup") self.organization_user = User.objects.create(username='tester_2') self.organization_user.groups.add(self.group) self.staff_user = User.objects.create(username="staffuser", is_staff=True) self.superuser = User.objects.create(username="superuser", is_superuser=True) self.object = CompetitionFactory.create() self.object.organization.group = self.group self.object.organization.save() self.object.event.organization.group = self.group self.object.event.organization.group.save() self.data = {'name': self.object.name, 'date_start': self.object.date_start.strftime('%Y-%m-%d'), 'date_end': self.object.date_end.strftime('%Y-%m-%d'), 'location': self.object.location, 'type': self.object.type.pk, 'level': self.object.level.pk, 'organization': self.object.organization.pk, 'event': self.object.event.pk, 'locked': self.object.locked, 'public': self.object.public} self.newdata = {'name': 'Village Yearly', 'date_start': self.object.date_start.strftime('%Y-%m-%d'), 'date_end': self.object.date_end.strftime('%Y-%m-%d'), 'location': 'Village Field', 'type': self.object.type.pk, 'level': self.object.level.pk, 'organization': self.object.organization.pk, 'event': self.object.event.pk} self.updatedata = {'name': 'Change Competition'} self.url = '/api/competitions/' self.viewset = CompetitionViewSet self.model = Competition def _test_access(self, user): request = self.factory.get(self.url + '1/') force_authenticate(request, user=user) view = self.viewset.as_view(actions={'get': 'retrieve'}) return view(request, pk=self.object.pk) def _test_create(self, user, data, locked=True): if not locked: self.object.event.locked = False self.object.event.save() request = self.factory.post(self.url, data) if user: force_authenticate(request, user=user) view = self.viewset.as_view(actions={'post': 'create'}) return view(request) def _test_delete(self, user, locked=True): if not locked: self.object.event.locked = False self.object.event.save() request = self.factory.delete(self.url + '1/') if user: force_authenticate(request, user=user) view = self.viewset.as_view(actions={'delete': 'destroy'}) return view(request, pk=1) def _test_update(self, user, data, locked=True): if not locked: self.object.event.locked = False self.object.event.save() request = self.factory.put(self.url + '1/', data) if user: force_authenticate(request, user=user) view = self.viewset.as_view(actions={'put': 'update'}) return view(request, pk=1) def _test_patch(self, user, data, locked=True): if not locked: self.object.event.locked = False self.object.event.save() request = self.factory.patch(self.url + '1/', data) if user: force_authenticate(request, user=user) view = self.viewset.as_view(actions={'patch': 'partial_update'}) return view(request, pk=1) def test_competition_access_list(self): request = self.factory.get(self.url) view = self.viewset.as_view(actions={'get': 'list'}) response = view(request) self.assertEqual(response.status_code, status.HTTP_200_OK) def test_competition_access_object_without_user(self): response = self._test_access(user=None) self.assertEqual(response.status_code, status.HTTP_200_OK) for key in self.data: self.assertEqual(response.data[key], self.data[key]) def test_competition_access_object_with_normal_user(self): response = self._test_access(user=self.user) self.assertEqual(response.status_code, status.HTTP_200_OK) for key in self.data: self.assertEqual(response.data[key], self.data[key]) def test_competition_update_without_user(self): response = self._test_update(user=None, data=self.newdata) self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED) def test_competition_update_with_superuser(self): response = self._test_update(user=self.superuser, data=self.newdata) self.assertEqual(response.status_code, status.HTTP_200_OK) def test_competition_update_with_staffruser(self): response = self._test_update(user=self.staff_user, data=self.newdata) self.assertEqual(response.status_code, status.HTTP_200_OK) def test_competition_update_with_organizational_user(self): self.object.locked = False self.object.save() response = self._test_update(user=self.organization_user, data=self.newdata, locked=False) self.assertEqual(response.status_code, status.HTTP_200_OK) def test_competition_update_with_organizational_user_locked(self): response = self._test_update(user=self.organization_user, data=self.newdata, locked=False) self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN) def test_competition_update_with_organizational_user_event_locked(self): self.object.locked = False self.object.save() response = self._test_update(user=self.organization_user, data=self.newdata, locked=True) self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN) def test_competition_update_with_normal_user(self): response = self._test_update(user=self.user, data=self.newdata) self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN) def test_competition_publish_with_staffruser(self): self.object.public = False self.object.save() response = self._test_patch(user=self.staff_user, data={"public": True}) self.assertEqual(response.status_code, status.HTTP_200_OK) @override_settings(COMPETITION_PUBLISH_REQUIRES_STAFF=False) def test_competition_publish_with_organizational_user_permitted(self): self.object.locked = False self.object.public = False self.object.save() response = self._test_patch(user=self.organization_user, data={"public": True}, locked=False) self.assertEqual(response.status_code, status.HTTP_200_OK) @override_settings(COMPETITION_PUBLISH_REQUIRES_STAFF=True) def test_competition_publish_with_organizational_user_not_permitted(self): self.object.locked = False self.object.public = False self.object.save() response = self._test_patch(user=self.organization_user, data={"public": True}, locked=False) self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN) def test_competition_create_without_user(self): response = self._test_create(user=None, data=self.newdata) self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED) def test_competition_create_with_superuser(self): response = self._test_create(user=self.superuser, data=self.newdata) self.assertEqual(response.status_code, status.HTTP_201_CREATED) self.assertEqual(self.model.objects.all().count(), 2) for key in self.newdata: self.assertEqual(response.data[key], self.newdata[key]) def test_competition_create_existing_with_superuser(self): response = self._test_create(user=self.superuser, data=self.data) self.assertEqual(response.status_code, status.HTTP_201_CREATED) def test_competition_create_with_staffuser(self): response = self._test_create(user=self.staff_user, data=self.newdata) self.assertEqual(response.status_code, status.HTTP_201_CREATED) self.assertEqual(self.model.objects.all().count(), 2) for key in self.newdata: self.assertEqual(response.data[key], self.newdata[key]) def test_competition_create_existing_with_staffuser(self): response = self._test_create(user=self.staff_user, data=self.data) self.assertEqual(response.status_code, status.HTTP_201_CREATED) def test_competition_create_with_organization_user(self): response = self._test_create(user=self.organization_user, data=self.newdata, locked=True) self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST) def test_competition_create_with_organization_user_not_locked_competition(self): response = self._test_create(user=self.organization_user, data=self.newdata, locked=False) self.assertEqual(response.status_code, status.HTTP_201_CREATED) def test_competition_create_with_normal_user(self): response = self._test_create(user=self.user, data=self.newdata) self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST) def test_competition_delete_with_user(self): response = self._test_delete(user=self.user) self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN) def test_competition_delete_with_superuser(self): response = self._test_delete(user=self.superuser) self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT) def test_competition_delete_with_staffuser(self): response = self._test_delete(user=self.staff_user) self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)

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6

6f2f26b8f699a19c029d87fadcc8d1c0dd0a0795

23

py

Python

awscfncli2/cli/commands/status/__init__.py

alytle/awscfncli

62075846804adf00ab726895f97f931dbd581927

[ "MIT" ]

60

2017-01-16T09:52:36.000Z

2021-09-07T23:27:01.000Z

awscfncli2/cli/commands/status/__init__.py

alytle/awscfncli

62075846804adf00ab726895f97f931dbd581927

[ "MIT" ]

103

2017-08-22T17:01:31.000Z

2021-09-02T15:32:34.000Z

awscfncli2/cli/commands/status/__init__.py

alytle/awscfncli

62075846804adf00ab726895f97f931dbd581927

[ "MIT" ]

16

2017-08-22T16:24:11.000Z

2021-06-30T11:45:51.000Z

from .status import cli

23

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23

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true

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6

6f693645a0935d8eabb2e3082aef8fbbb0cd39fc

92

py

Python

pruning/unstructured/__init__.py

Krishnkant-Swarnkar/Pytorch-pruning

17cabe8a2e3fd38434a4064a7fb060b4dde74bd3

[ "MIT" ]

1

2020-12-15T04:32:19.000Z

pruning/unstructured/__init__.py

Krishnkant-Swarnkar/Pytorch-pruning

17cabe8a2e3fd38434a4064a7fb060b4dde74bd3

[ "MIT" ]

null

pruning/unstructured/__init__.py

Krishnkant-Swarnkar/Pytorch-pruning

17cabe8a2e3fd38434a4064a7fb060b4dde74bd3

[ "MIT" ]

null

from .one_shot_pruning import OneShotPruning from .iterative_pruning import IterativePruning

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6

48a1fd0a5713bf8da31a3ecd939dbfdb7d3d827f

9,307

py

Python

app/tests/algorithms_tests/test_signals.py

kaczmarj/grand-challenge.org

8dc8a2170e51072354f7e94f2a22578805a67b94

[ "Apache-2.0" ]

7

2016-11-05T07:16:30.000Z

2017-11-23T03:38:03.000Z

app/tests/algorithms_tests/test_signals.py

kaczmarj/grand-challenge.org

8dc8a2170e51072354f7e94f2a22578805a67b94

[ "Apache-2.0" ]

113

2015-05-26T09:27:59.000Z

2018-03-21T10:45:56.000Z

app/tests/algorithms_tests/test_signals.py

kaczmarj/grand-challenge.org

8dc8a2170e51072354f7e94f2a22578805a67b94

[ "Apache-2.0" ]

7

2015-07-16T20:11:22.000Z

2017-06-06T02:41:24.000Z

import pytest from guardian.shortcuts import get_perms from tests.algorithms_tests.factories import AlgorithmJobFactory from tests.algorithms_tests.utils import TwoAlgorithms from tests.components_tests.factories import ComponentInterfaceValueFactory from tests.factories import GroupFactory, ImageFactory, UserFactory from tests.utils import get_view_for_user @pytest.mark.django_db @pytest.mark.parametrize("reverse", [True, False]) def test_user_can_download_images(client, reverse): alg_set = TwoAlgorithms() j1_creator, j2_creator = UserFactory(), UserFactory() alg1_job = AlgorithmJobFactory( algorithm_image__algorithm=alg_set.alg1, creator=j1_creator ) alg2_job = AlgorithmJobFactory( algorithm_image__algorithm=alg_set.alg2, creator=j2_creator ) alg1_job.viewer_groups.add(alg_set.alg1.editors_group) alg2_job.viewer_groups.add(alg_set.alg2.editors_group) iv1, iv2, iv3, iv4 = ( ComponentInterfaceValueFactory(image=ImageFactory()), ComponentInterfaceValueFactory(image=ImageFactory()), ComponentInterfaceValueFactory(image=ImageFactory()), ComponentInterfaceValueFactory(image=ImageFactory()), ) if reverse: for im in [iv1, iv2, iv3, iv4]: im.algorithms_jobs_as_output.add(alg1_job, alg2_job) for im in [iv3, iv4]: im.algorithms_jobs_as_output.remove(alg1_job, alg2_job) for im in [iv1, iv2]: im.algorithms_jobs_as_output.remove(alg2_job) else: # Test that adding images works alg1_job.outputs.add(iv1, iv2, iv3, iv4) # Test that removing images works alg1_job.outputs.remove(iv3, iv4) tests = ( (None, 200, []), (alg_set.creator, 200, []), ( alg_set.editor1, 200, [ *[i.image.pk for i in alg1_job.inputs.all()], iv1.image.pk, iv2.image.pk, ], ), (alg_set.user1, 200, []), ( j1_creator, 200, [ *[i.image.pk for i in alg1_job.inputs.all()], iv1.image.pk, iv2.image.pk, ], ), (alg_set.editor2, 200, [i.image.pk for i in alg2_job.inputs.all()]), (alg_set.user2, 200, []), (j2_creator, 200, [i.image.pk for i in alg2_job.inputs.all()]), (alg_set.u, 200, []), ) for test in tests: response = get_view_for_user( viewname="api:image-list", client=client, user=test[0], content_type="application/json", ) assert response.status_code == test[1] assert response.json()["count"] == len(test[2]) pks = {obj["pk"] for obj in response.json()["results"]} assert {str(pk) for pk in test[2]} == pks # Test clearing if reverse: iv1.algorithms_jobs_as_output.clear() iv2.algorithms_jobs_as_output.clear() else: alg1_job.outputs.clear() response = get_view_for_user( viewname="api:image-list", client=client, user=j1_creator, content_type="application/json", ) assert response.status_code == 200 assert response.json()["count"] == 1 @pytest.mark.django_db @pytest.mark.parametrize("reverse", [True, False]) def test_user_can_download_input_images(client, reverse): alg_set = TwoAlgorithms() j1_creator, j2_creator = UserFactory(), UserFactory() alg1_job = AlgorithmJobFactory( algorithm_image__algorithm=alg_set.alg1, creator=j1_creator ) alg2_job = AlgorithmJobFactory( algorithm_image__algorithm=alg_set.alg2, creator=j2_creator ) alg1_job.viewer_groups.add(alg_set.alg1.editors_group) alg2_job.viewer_groups.add(alg_set.alg2.editors_group) iv1, iv2, iv3, iv4 = ( ComponentInterfaceValueFactory(image=ImageFactory()), ComponentInterfaceValueFactory(image=ImageFactory()), ComponentInterfaceValueFactory(image=ImageFactory()), ComponentInterfaceValueFactory(image=ImageFactory()), ) alg1_origin_input = [i.image.pk for i in alg1_job.inputs.all()] alg2_origin_input = [i.image.pk for i in alg2_job.inputs.all()] if reverse: for iv in [iv1, iv2, iv3, iv4]: iv.algorithms_jobs_as_input.add(alg1_job, alg2_job) for iv in [iv3, iv4]: iv.algorithms_jobs_as_input.remove(alg1_job, alg2_job) for iv in [iv1, iv2]: iv.algorithms_jobs_as_input.remove(alg2_job) else: # Test that adding images works alg1_job.inputs.add(iv1, iv2, iv3, iv4) # Test that removing images works alg1_job.inputs.remove(iv3, iv4) tests = ( (None, 200, []), (alg_set.creator, 200, []), ( alg_set.editor1, 200, [*alg1_origin_input, iv1.image.pk, iv2.image.pk], ), (alg_set.user1, 200, []), (j1_creator, 200, [*alg1_origin_input, iv1.image.pk, iv2.image.pk]), (alg_set.editor2, 200, alg2_origin_input), (alg_set.user2, 200, []), (j2_creator, 200, alg2_origin_input), (alg_set.u, 200, []), ) for test in tests: response = get_view_for_user( viewname="api:image-list", client=client, user=test[0], content_type="application/json", ) assert response.status_code == test[1] assert response.json()["count"] == len(test[2]) pks = {obj["pk"] for obj in response.json()["results"]} assert {str(pk) for pk in test[2]} == pks # Test clearing if reverse: iv1.algorithms_jobs_as_input.clear() iv2.algorithms_jobs_as_input.clear() else: alg1_job.inputs.clear() response = get_view_for_user( viewname="api:image-list", client=client, user=j1_creator, content_type="application/json", ) assert response.status_code == 200 if reverse: assert response.json()["count"] == 1 else: assert response.json()["count"] == 0 @pytest.mark.django_db class TestAlgorithmJobViewersGroup: def test_view_permissions_are_assigned(self): job = AlgorithmJobFactory() viewer_groups = {*job.viewer_groups.all()} assert viewer_groups == {job.viewers} for group in viewer_groups: assert "view_job" in get_perms(group, job) @pytest.mark.parametrize("reverse", [True, False]) def test_group_addition(self, reverse): job = AlgorithmJobFactory() group = GroupFactory() civ_in, civ_out = ( ComponentInterfaceValueFactory(image=ImageFactory()), ComponentInterfaceValueFactory(image=ImageFactory()), ) job.inputs.add(civ_in) job.outputs.add(civ_out) assert "view_job" not in get_perms(group, job) assert "view_image" not in get_perms(group, civ_in.image) assert "view_image" not in get_perms(group, civ_out.image) if reverse: group.job_set.add(job) else: job.viewer_groups.add(group) assert "view_job" in get_perms(group, job) assert "view_image" in get_perms(group, civ_in.image) assert "view_image" in get_perms(group, civ_out.image) @pytest.mark.parametrize("reverse", [True, False]) def test_group_removal(self, reverse): job = AlgorithmJobFactory() civ_in, civ_out = ( ComponentInterfaceValueFactory(image=ImageFactory()), ComponentInterfaceValueFactory(image=ImageFactory()), ) job.inputs.add(civ_in) job.outputs.add(civ_out) group = job.viewer_groups.first() assert "view_job" in get_perms(group, job) assert "view_image" in get_perms(group, civ_in.image) assert "view_image" in get_perms(group, civ_out.image) if reverse: group.job_set.remove(job) else: job.viewer_groups.remove(group) assert "view_job" not in get_perms(group, job) assert "view_image" not in get_perms(group, civ_in.image) assert "view_image" not in get_perms(group, civ_out.image) @pytest.mark.parametrize("reverse", [True, False]) def test_group_clearing(self, reverse): job = AlgorithmJobFactory() civ_in, civ_out = ( ComponentInterfaceValueFactory(image=ImageFactory()), ComponentInterfaceValueFactory(image=ImageFactory()), ) job.inputs.add(civ_in) job.outputs.add(civ_out) groups = job.viewer_groups.all() assert len(groups) > 0 for group in groups: assert "view_job" in get_perms(group, job) assert "view_image" in get_perms(group, civ_in.image) assert "view_image" in get_perms(group, civ_out.image) if reverse: for group in groups: group.job_set.clear() else: job.viewer_groups.clear() for group in groups: assert "view_job" not in get_perms(group, job) assert "view_image" not in get_perms(group, civ_in.image) assert "view_image" not in get_perms(group, civ_out.image)

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null

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null

0

6

48a41a79acbc05e559179dc403f49d87e8933b17

26

py

Python

qmpy/web/views/data/__init__.py

tachyontraveler/qmpy

f024de3aa85d4367cd31775bd53eede30c74c083

[ "MIT" ]

103

2015-02-13T16:51:59.000Z

2022-03-24T22:08:54.000Z

qmpy/web/views/data/__init__.py

tachyontraveler/qmpy

f024de3aa85d4367cd31775bd53eede30c74c083

[ "MIT" ]

59

2015-12-02T22:43:21.000Z

2022-03-28T03:54:44.000Z

qmpy/web/views/data/__init__.py

tachyontraveler/qmpy

f024de3aa85d4367cd31775bd53eede30c74c083

[ "MIT" ]

62

2015-02-24T21:58:59.000Z

2022-03-21T16:49:09.000Z

from .references import *

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0.909091

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1

0

1

0

6

48c94002b3e6b0473df2fd8065d543d5a44f7b6a

173

py

Python

src/z3c/__init__.py

pretaweb/z3c.form

757300d6e15a5ca8427946dbdc3952ba8978f132

[ "ZPL-2.1" ]

null

src/z3c/__init__.py

pretaweb/z3c.form

757300d6e15a5ca8427946dbdc3952ba8978f132

[ "ZPL-2.1" ]

null

src/z3c/__init__.py

pretaweb/z3c.form

757300d6e15a5ca8427946dbdc3952ba8978f132

[ "ZPL-2.1" ]

null

try: # Declare this a namespace package if pkg_resources is available. import pkg_resources pkg_resources.declare_namespace('z3c') except ImportError: pass

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6

48c9411c5fb505d45f275acdd41e540586fee018

94

py

Python

stylegan2_pytorch/__init__.py

Gokkulnath/stylegan2-pytorch

4465ba38f4ecfff14500867d1fe07345a1e02eb3

[ "MIT" ]

2,954

2020-01-09T21:21:16.000Z

2022-03-31T21:10:44.000Z

stylegan2_pytorch/__init__.py

Gokkulnath/stylegan2-pytorch

4465ba38f4ecfff14500867d1fe07345a1e02eb3

[ "MIT" ]

259

2020-01-14T01:04:08.000Z

2022-03-17T07:14:52.000Z

stylegan2_pytorch/__init__.py

Gokkulnath/stylegan2-pytorch

4465ba38f4ecfff14500867d1fe07345a1e02eb3

[ "MIT" ]

558

2020-01-12T14:12:40.000Z

2022-03-31T02:25:36.000Z

from stylegan2_pytorch.stylegan2_pytorch import Trainer, StyleGAN2, NanException, ModelLoader

47

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48d844df5a4b0431df621c62454b459c4215af6b

27

py

Python

app.py

crclz/hand2

76db4c8b91bcdca7281343f40802b753baee9a18

[ "MIT" ]

null

app.py

crclz/hand2

76db4c8b91bcdca7281343f40802b753baee9a18

[ "MIT" ]

null

app.py

crclz/hand2

76db4c8b91bcdca7281343f40802b753baee9a18

[ "MIT" ]

null

print("This is web app 1")

13.5

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5b173f333cb2da8c2f66c586e97d85f83662c0ff

46

py

Python

example/runcmd/__init__.py

aman-atakama/atakama_sdk

6e917e81c07495324fd5ab1208a63217b7e4c3fd

[ "BSD-3-Clause" ]

null

example/runcmd/__init__.py

aman-atakama/atakama_sdk

6e917e81c07495324fd5ab1208a63217b7e4c3fd

[ "BSD-3-Clause" ]

11

2021-08-04T23:40:55.000Z

2022-03-23T19:34:30.000Z

example/runcmd/__init__.py

aman-atakama/atakama_sdk

6e917e81c07495324fd5ab1208a63217b7e4c3fd

[ "BSD-3-Clause" ]

null

from .subproc_detector import SubprocDetector

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1

0

1

0

6

5b1fa1f2a0fe98ee890e1e8647b3efa9f7237a07

41

py

Python

gluon_utils/logging/__init__.py

kbvatral/gluon-utils

bc4f54bff0e5b6a7d5306844f889ec8c3535604a

[ "Apache-2.0" ]

null

gluon_utils/logging/__init__.py

kbvatral/gluon-utils

bc4f54bff0e5b6a7d5306844f889ec8c3535604a

[ "Apache-2.0" ]

null

gluon_utils/logging/__init__.py

kbvatral/gluon-utils

bc4f54bff0e5b6a7d5306844f889ec8c3535604a

[ "Apache-2.0" ]

null

from .history_logger import HistoryLogger

41

0.902439

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7.2

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1

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0.947368

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6

d2958166b390200562ea5565dd49f3183e445dca

23

py

Python

misc/config_tools/configurator/pyodide/__init__.py

jackwhich/acrn-hypervisor-1

2ff11c2ef04a2668979b3e363e25f13cf48376ac

[ "BSD-3-Clause" ]

null

misc/config_tools/configurator/pyodide/__init__.py

jackwhich/acrn-hypervisor-1

2ff11c2ef04a2668979b3e363e25f13cf48376ac

[ "BSD-3-Clause" ]

null

misc/config_tools/configurator/pyodide/__init__.py

jackwhich/acrn-hypervisor-1

2ff11c2ef04a2668979b3e363e25f13cf48376ac

[ "BSD-3-Clause" ]

null

from .pyodide import *

11.5

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6

8252c34b1e5e144d55a02e656a14a16db2293180

11,849

py

Python

services/core-api/tests/mines/mine/resources/test_mine_resource.py

parc-jason/mds

8f181a429442208a061ed72065b71e6c2bd0f76f

[ "Apache-2.0" ]

null

services/core-api/tests/mines/mine/resources/test_mine_resource.py

parc-jason/mds

8f181a429442208a061ed72065b71e6c2bd0f76f

[ "Apache-2.0" ]

null

services/core-api/tests/mines/mine/resources/test_mine_resource.py

parc-jason/mds

8f181a429442208a061ed72065b71e6c2bd0f76f

[ "Apache-2.0" ]

null

import json, uuid, pytest from tests.factories import MineFactory # GET def test_get_mine_not_found(test_client, db_session, auth_headers): get_resp = test_client.get(f'/mines/{uuid.uuid4()}', headers=auth_headers['full_auth_header']) get_data = json.loads(get_resp.data.decode()) assert 'Mine not found' in get_data['message'] assert get_resp.status_code == 404 def test_get_mine_by_mine_no(test_client, db_session, auth_headers): mine_no = MineFactory().mine_no get_resp = test_client.get(f'/mines/{mine_no}', headers=auth_headers['full_auth_header']) get_data = json.loads(get_resp.data.decode()) assert get_data['mine_no'] == mine_no assert get_resp.status_code == 200 def test_get_mine_by_mine_guid(test_client, db_session, auth_headers): mine_guid = MineFactory().mine_guid get_resp = test_client.get(f'/mines/{mine_guid}', headers=auth_headers['full_auth_header']) get_data = json.loads(get_resp.data.decode()) assert get_data['mine_guid'] == str(mine_guid) assert get_resp.status_code == 200 # POST def test_post_mine_invalid_url(test_client, db_session, auth_headers): test_mine_data = {"mine_name": "test_create_mine"} post_resp = test_client.post( '/mines/some_mine_no', json=test_mine_data, headers=auth_headers['full_auth_header']) post_data = json.loads(post_resp.data.decode()) assert post_resp.status_code == 405 def test_post_mine_no_name(test_client, db_session, auth_headers): test_mine_data = {} post_resp = test_client.post( '/mines', json=test_mine_data, headers=auth_headers['full_auth_header']) post_data = json.loads(post_resp.data.decode()) assert post_resp.status_code == 400, post_resp.response assert 'validation failed' in post_data['message'], post_data def test_post_mine_name_exceed_chars(test_client, db_session, auth_headers): test_mine_data = {'mine_name': '6' * 61, "mine_status": "CLD,REC,LWT", "mine_region": "SW"} post_resp = test_client.post( '/mines', json=test_mine_data, headers=auth_headers['full_auth_header']) post_data = json.loads(post_resp.data.decode()) assert post_resp.status_code == 400 assert 'not exceed 60' in post_data['message'] def test_post_mine_name_only_success(test_client, db_session, auth_headers): test_mine_data = {"mine_name": "test_create_mine2", "mine_status": "CLD,REC,LWT", "mine_region": "SW"} post_resp = test_client.post( '/mines', json=test_mine_data, headers=auth_headers['full_auth_header']) post_data = json.loads(post_resp.data.decode()) assert post_resp.status_code == 200 assert post_data['mine_name'] == test_mine_data['mine_name'] def test_post_mine_name_and_note(test_client, db_session, auth_headers): test_mine_data = { "mine_name": "test_create_mine_and_note", "mine_note": "This is a note", "mine_region": "SW", "mine_status": "CLD,REC,LWT", } post_resp = test_client.post( '/mines', json=test_mine_data, headers=auth_headers['full_auth_header']) post_data = json.loads(post_resp.data.decode()) assert post_resp.status_code == 200 assert post_data['mine_name'] == test_mine_data['mine_name'] assert post_data['mine_note'] == test_mine_data['mine_note'] def test_post_mine_name_and_coord(test_client, db_session, auth_headers): test_mine_data = { "mine_name": "test_create_mine", "latitude": "49.2827000", "longitude": "123.1207000", "mine_region": "SW", "mine_status": "CLD,REC,LWT", } post_resp = test_client.post( '/mines', json=test_mine_data, headers=auth_headers['full_auth_header']) post_data = json.loads(post_resp.data.decode()) assert post_resp.status_code == 200 assert post_data['mine_name'] == test_mine_data['mine_name'] assert post_data['mine_location']['latitude'] == test_mine_data['latitude'] assert post_data['mine_location']['longitude'] == test_mine_data['longitude'] def test_post_mine_success_all(test_client, db_session, auth_headers): test_mine_data = { "mine_name": "test_create_mine_2", "latitude": "49.2827000", "longitude": "123.1207000", "mine_note": "This is a note", "mine_region": "SW", "mine_status": "CLD,REC,LWT", "union_ind": True, "ohsc_ind": False } post_resp = test_client.post( '/mines', json=test_mine_data, headers=auth_headers['full_auth_header']) post_data = json.loads(post_resp.data.decode()) assert post_resp.status_code == 200 assert post_data['mine_name'] == test_mine_data['mine_name'] assert post_data['mine_location']['latitude'] == test_mine_data['latitude'] assert post_data['mine_location']['longitude'] == test_mine_data['longitude'] assert post_data['mine_note'] == test_mine_data['mine_note'] assert post_data['union_ind'] == test_mine_data['union_ind'] assert post_data['ohsc_ind'] == test_mine_data['ohsc_ind'] def test_post_mine_redundant_name(test_client, db_session, auth_headers): mine_name = MineFactory().mine_name test_mine_data = { "mine_name": mine_name, "latitude": "44.2827000", "longitude": "126.1207000", "mine_note": "This is a new note", "mine_region": "SW", "mine_status": "CLD,REC,LWT", } post_resp = test_client.post( '/mines', json=test_mine_data, headers=auth_headers['full_auth_header']) post_data = json.loads(post_resp.data.decode()) assert post_resp.status_code == 400 def test_post_mine_major_invalid_input(test_client, db_session, auth_headers): test_mine_data = { "mine_name": "test_create_mine_major", "latitude": "49.2827000", "longitude": "123.1207000", "mine_note": "This is a note", "major_mine_ind": "blah", "mine_region": "SW", "mine_status": "CLD,REC,LWT", } post_resp = test_client.post( '/mines', json=test_mine_data, headers=auth_headers['full_auth_header']) post_data = json.loads(post_resp.data.decode()) assert post_resp.status_code == 400 def test_post_mine_major_true(test_client, db_session, auth_headers): test_mine_data = { "mine_name": "test_create_mine_major", "latitude": "49.2827000", "longitude": "123.1207000", "mine_note": "This is a note", "major_mine_ind": "true", "mine_region": "SW", "mine_status": "CLD,REC,LWT", } post_resp = test_client.post( '/mines', json=test_mine_data, headers=auth_headers['full_auth_header']) post_data = json.loads(post_resp.data.decode()) assert post_data['mine_name'] == test_mine_data['mine_name'] assert post_data['mine_location']['latitude'] == test_mine_data['latitude'] assert post_data['mine_location']['longitude'] == test_mine_data['longitude'] assert post_data['mine_note'] == test_mine_data['mine_note'] assert post_data['major_mine_ind'] == True assert post_resp.status_code == 200 def test_post_mine_major_false(test_client, db_session, auth_headers): test_mine_data = { "mine_name": "test_create_mine_major_2", "latitude": "49.2827000", "longitude": "123.1207000", "mine_note": "This is a note", "major_mine_ind": "false", "mine_region": "SW", "mine_status": "CLD,REC,LWT", } post_resp = test_client.post( '/mines', json=test_mine_data, headers=auth_headers['full_auth_header']) post_data = json.loads(post_resp.data.decode()) assert post_data['mine_name'] == test_mine_data['mine_name'] assert post_data['mine_location']['latitude'] == test_mine_data['latitude'] assert post_data['mine_location']['longitude'] == test_mine_data['longitude'] assert post_data['mine_note'] == test_mine_data['mine_note'] assert post_data['major_mine_ind'] == False assert post_resp.status_code == 200 def test_post_mine_mine_status(test_client, db_session, auth_headers): test_mine_data = { "mine_name": "test_create_mine_status", "latitude": "49.2827000", "longitude": "123.1207000", "mine_note": "This is a note", "mine_status": "CLD, CM", "mine_region": "SW" } post_resp = test_client.post( '/mines', json=test_mine_data, headers=auth_headers['full_auth_header']) post_data = json.loads(post_resp.data.decode()) assert post_data['mine_name'] == test_mine_data['mine_name'] assert post_data['mine_location']['latitude'] == test_mine_data['latitude'] assert post_data['mine_location']['longitude'] == test_mine_data['longitude'] assert post_data['mine_note'] == test_mine_data['mine_note'] assert post_data['mine_region'] == test_mine_data['mine_region'] assert post_resp.status_code == 200 #PUT def test_put_mine_name(test_client, db_session, auth_headers): mine_guid = MineFactory().mine_guid test_tenure_data = {"mine_name": "mine_name", "mine_note": ""} put_resp = test_client.put( f'/mines/{mine_guid}', json=test_tenure_data, headers=auth_headers['full_auth_header']) put_data = json.loads(put_resp.data.decode()) assert put_data['mine_name'] == test_tenure_data['mine_name'] assert put_resp.status_code == 200 def test_put_redundant_mine_name(test_client, db_session, auth_headers): existing_name = MineFactory().mine_name mine = MineFactory() test_tenure_data = { "mine_name": existing_name, } put_resp = test_client.put( f'/mines/{mine.mine_guid}', json=test_tenure_data, headers=auth_headers['full_auth_header']) assert put_resp.status_code == 400 def test_put_mine_major_true(test_client, db_session, auth_headers): mine_guid = MineFactory(major_mine_ind=False).mine_guid test_mine_data = {"major_mine_ind": "true", "mine_note": ""} put_resp = test_client.put( f'/mines/{mine_guid}', json=test_mine_data, headers=auth_headers['full_auth_header']) put_data = json.loads(put_resp.data.decode()) assert put_data['major_mine_ind'] == True assert put_resp.status_code == 200 def test_put_mine_major_false(test_client, db_session, auth_headers): mine_guid = MineFactory(major_mine_ind=True).mine_guid test_mine_data = {"major_mine_ind": "false", "mine_note": ""} put_resp = test_client.put( f'/mines/{mine_guid}', json=test_mine_data, headers=auth_headers['full_auth_header']) put_data = json.loads(put_resp.data.decode()) assert put_data['major_mine_ind'] == False assert put_resp.status_code == 200 def test_put_mine_note(test_client, db_session, auth_headers): mine_guid = MineFactory().mine_guid test_tenure_data = {"mine_note": "new_note"} put_resp = test_client.put( f'/mines/{mine_guid}', json=test_tenure_data, headers=auth_headers['full_auth_header']) put_data = json.loads(put_resp.data.decode()) assert test_tenure_data['mine_note'] == put_data['mine_note'] assert put_resp.status_code == 200 def test_put_mine_mine_status(test_client, db_session, auth_headers): mine_guid = MineFactory().mine_guid test_mine_data = {"mine_status": "CLD, CM", "mine_note": ""} put_resp = test_client.put( f'/mines/{mine_guid}', json=test_mine_data, headers=auth_headers['full_auth_header']) assert put_resp.status_code == 200 def test_put_mine_region(test_client, db_session, auth_headers): mine_guid = MineFactory().mine_guid test_mine_data = {"mine_region": 'NE', "mine_note": ""} put_resp = test_client.put( f'/mines/{mine_guid}', json=test_mine_data, headers=auth_headers['full_auth_header']) assert put_resp.status_code == 200 put_data = json.loads(put_resp.data.decode()) assert put_data['mine_region'] == test_mine_data['mine_region']

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0.102564

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null

0

1

0

null

0

6

826a305e6679c6ccf156aea4599b7554b4b6328c

344

py

Python

root/Base.py

shubham2803/todo

2d7562a4d793f22322f2b284056d2e5a810d9595

[ "MIT" ]

null

root/Base.py

shubham2803/todo

2d7562a4d793f22322f2b284056d2e5a810d9595

[ "MIT" ]

null

root/Base.py

shubham2803/todo

2d7562a4d793f22322f2b284056d2e5a810d9595

[ "MIT" ]

null

class BaseClass: def __init__(self, file_path=None): self.file_path = file_path def get_file_path(self, file_path=None): return self.file_path or '/home/admin1/Documents/todo/root/input.txt' def get_file_path_2(self, file_path=None): return self.file_path or '/home/admin1/Documents/todo/root/input_2.txt'

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6

82747fbba08a1f9a43f4647bb10b77257ddeb1f2

33

py

Python

hardware/alpha_genesis/sensor-node/InteractiveHtmlBom/__init__.py

kaiote/OpenHAP

ada812f8451b3463e355a62f3f5bb31ed226630b

[ "MIT" ]

1

2020-02-13T04:37:06.000Z

hardware/alpha_genesis/sensor-node/InteractiveHtmlBom/__init__.py

kaiote/OpenHAP

ada812f8451b3463e355a62f3f5bb31ed226630b

[ "MIT" ]

null

hardware/alpha_genesis/sensor-node/InteractiveHtmlBom/__init__.py

kaiote/OpenHAP

ada812f8451b3463e355a62f3f5bb31ed226630b

[ "MIT" ]

null

from . import InteractiveHtmlBom

16.5

32

0.848485

3

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1

0

6

827ad2fc97831a64c0d1d4d0cb2759b7f2b7c5f7

3,141

py

Python

sceptre/exceptions.py

lukeplausin/sceptre

bad46d1a0d208dd14f0be2c776874ed5020ffaa7

[ "Apache-2.0" ]

1

2019-07-26T19:03:50.000Z

sceptre/exceptions.py

lukeplausin/sceptre

bad46d1a0d208dd14f0be2c776874ed5020ffaa7

[ "Apache-2.0" ]

null

sceptre/exceptions.py

lukeplausin/sceptre

bad46d1a0d208dd14f0be2c776874ed5020ffaa7

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- class SceptreException(Exception): """ Base class for all Sceptre errors """ pass class ProjectAlreadyExistsError(SceptreException): """ Error raised when Sceptre project already exists. """ pass class InvalidSceptreDirectoryError(SceptreException): """ Error raised if a sceptre directory is invalid. """ pass class UnsupportedTemplateFileTypeError(SceptreException): """ Error raised if an unsupported template file type is used. """ pass class TemplateSceptreHandlerError(SceptreException): """ Error raised if sceptre_handler() is not defined correctly in the template. """ pass class DependencyStackNotLaunchedError(SceptreException): """ Error raised when a dependency stack has not been launched """ pass class DependencyStackMissingOutputError(SceptreException): """ Error raised if a dependency stack does not have the correct outputs. """ pass class CircularDependenciesError(SceptreException): """ Error raised if there are circular dependencies """ pass class UnknownStackStatusError(SceptreException): """ Error raised if an unknown stack status is received. """ pass class RetryLimitExceededError(SceptreException): """ Error raised if the request limit is exceeded. """ pass class UnknownHookTypeError(SceptreException): """ Error raised if an unrecognised hook type is received. """ class VersionIncompatibleError(SceptreException): """ Error raised if configuration incompatible with running version. """ pass class ProtectedStackError(SceptreException): """ Error raised upon execution of an action under active protection """ pass class UnknownStackChangeSetStatusError(SceptreException): """ Error raised if an unknown stack change set status is received. """ pass class InvalidHookArgumentTypeError(SceptreException): """ Error raised if a hook's argument type is invalid. """ pass class InvalidHookArgumentSyntaxError(SceptreException): """ Error raised if a hook's argument syntax is invalid. """ pass class InvalidHookArgumentValueError(SceptreException): """ Error raised if a hook's argument value is invalid. """ pass class CannotUpdateFailedStackError(SceptreException): """ Error raised when a failed stack is updated. """ pass class StackDoesNotExistError(SceptreException): """ Error raised when a stack does not exist. """ pass class ConfigFileNotFoundError(SceptreException): """ Error raised when a config file does not exist. """ pass class InvalidConfigFileError(SceptreException): """ Error raised when a config file lacks mandatory keys. """ pass class PathConversionError(SceptreException): """ Error raised when a path is unable to be converted. """ pass class InvalidAWSCredentialsError(SceptreException): """ Error raised when AWS credentials are invalid. """ pass

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null

1

0

null

0

1

0

1

0

6

82c48443fa76f01c008dd749966e80470e98d90e

27,743

py

Python

pybind/slxos/v17r_2_00/igmp_snooping_state/pim_snp_groups/pim_snp_groups_/__init__.py

extremenetworks/pybind

44c467e71b2b425be63867aba6e6fa28b2cfe7fb

[ "Apache-2.0" ]

null

pybind/slxos/v17r_2_00/igmp_snooping_state/pim_snp_groups/pim_snp_groups_/__init__.py

extremenetworks/pybind

44c467e71b2b425be63867aba6e6fa28b2cfe7fb

[ "Apache-2.0" ]

null

pybind/slxos/v17r_2_00/igmp_snooping_state/pim_snp_groups/pim_snp_groups_/__init__.py

extremenetworks/pybind

44c467e71b2b425be63867aba6e6fa28b2cfe7fb

[ "Apache-2.0" ]

1

2021-11-05T22:15:42.000Z

from operator import attrgetter import pyangbind.lib.xpathhelper as xpathhelper from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType, RestrictedClassType, TypedListType from pyangbind.lib.yangtypes import YANGBool, YANGListType, YANGDynClass, ReferenceType from pyangbind.lib.base import PybindBase from decimal import Decimal from bitarray import bitarray import __builtin__ import pim_snp_sources import pim_snp_wg_member_ports class pim_snp_groups(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module brocade-mc-hms-operational - based on the path /igmp-snooping-state/pim-snp-groups/pim-snp-groups. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: Pim Snooping Group Information """ __slots__ = ('_pybind_generated_by', '_path_helper', '_yang_name', '_rest_name', '_extmethods', '__group_addr','__vlan_id','__uptime','__expiry_time','__last_reporter','__pim_snp_sources','__pim_snp_wg_member_ports',) _yang_name = 'pim-snp-groups' _rest_name = 'pim-snp-groups' _pybind_generated_by = 'container' def __init__(self, *args, **kwargs): path_helper_ = kwargs.pop("path_helper", None) if path_helper_ is False: self._path_helper = False elif path_helper_ is not None and isinstance(path_helper_, xpathhelper.YANGPathHelper): self._path_helper = path_helper_ elif hasattr(self, "_parent"): path_helper_ = getattr(self._parent, "_path_helper", False) self._path_helper = path_helper_ else: self._path_helper = False extmethods = kwargs.pop("extmethods", None) if extmethods is False: self._extmethods = False elif extmethods is not None and isinstance(extmethods, dict): self._extmethods = extmethods elif hasattr(self, "_parent"): extmethods = getattr(self._parent, "_extmethods", None) self._extmethods = extmethods else: self._extmethods = False self.__uptime = YANGDynClass(base=unicode, is_leaf=True, yang_name="uptime", rest_name="uptime", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-mc-hms-operational', defining_module='brocade-mc-hms-operational', yang_type='string', is_config=False) self.__expiry_time = YANGDynClass(base=unicode, is_leaf=True, yang_name="expiry-time", rest_name="expiry-time", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-mc-hms-operational', defining_module='brocade-mc-hms-operational', yang_type='string', is_config=False) self.__group_addr = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}), is_leaf=True, yang_name="group-addr", rest_name="group-addr", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, is_keyval=True, namespace='urn:brocade.com:mgmt:brocade-mc-hms-operational', defining_module='brocade-mc-hms-operational', yang_type='inet:ipv4-address', is_config=False) self.__pim_snp_sources = YANGDynClass(base=YANGListType("src_addr",pim_snp_sources.pim_snp_sources, yang_name="pim-snp-sources", rest_name="pim-snp-sources", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='src-addr', extensions={u'tailf-common': {u'callpoint': u'mc-hms-pim-snp-source', u'cli-suppress-show-path': None}}), is_container='list', yang_name="pim-snp-sources", rest_name="pim-snp-sources", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'callpoint': u'mc-hms-pim-snp-source', u'cli-suppress-show-path': None}}, namespace='urn:brocade.com:mgmt:brocade-mc-hms-operational', defining_module='brocade-mc-hms-operational', yang_type='list', is_config=False) self.__pim_snp_wg_member_ports = YANGDynClass(base=YANGListType("interface_name",pim_snp_wg_member_ports.pim_snp_wg_member_ports, yang_name="pim-snp-wg-member-ports", rest_name="pim-snp-wg-member-ports", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='interface-name', extensions={u'tailf-common': {u'callpoint': u'mc_hms-pim-snp-member-port-pim-snp-wg-member-ports-2'}}), is_container='list', yang_name="pim-snp-wg-member-ports", rest_name="pim-snp-wg-member-ports", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'callpoint': u'mc_hms-pim-snp-member-port-pim-snp-wg-member-ports-2'}}, namespace='urn:brocade.com:mgmt:brocade-mc-hms-operational', defining_module='brocade-mc-hms-operational', yang_type='list', is_config=False) self.__last_reporter = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}), is_leaf=True, yang_name="last-reporter", rest_name="last-reporter", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-mc-hms-operational', defining_module='brocade-mc-hms-operational', yang_type='inet:ipv4-address', is_config=False) self.__vlan_id = YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="vlan-id", rest_name="vlan-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, is_keyval=True, namespace='urn:brocade.com:mgmt:brocade-mc-hms-operational', defining_module='brocade-mc-hms-operational', yang_type='uint32', is_config=False) load = kwargs.pop("load", None) if args: if len(args) > 1: raise TypeError("cannot create a YANG container with >1 argument") all_attr = True for e in self._pyangbind_elements: if not hasattr(args[0], e): all_attr = False break if not all_attr: raise ValueError("Supplied object did not have the correct attributes") for e in self._pyangbind_elements: nobj = getattr(args[0], e) if nobj._changed() is False: continue setmethod = getattr(self, "_set_%s" % e) if load is None: setmethod(getattr(args[0], e)) else: setmethod(getattr(args[0], e), load=load) def _path(self): if hasattr(self, "_parent"): return self._parent._path()+[self._yang_name] else: return [u'igmp-snooping-state', u'pim-snp-groups', u'pim-snp-groups'] def _rest_path(self): if hasattr(self, "_parent"): if self._rest_name: return self._parent._rest_path()+[self._rest_name] else: return self._parent._rest_path() else: return [u'igmp-snooping-state', u'pim-snp-groups', u'pim-snp-groups'] def _get_group_addr(self): """ Getter method for group_addr, mapped from YANG variable /igmp_snooping_state/pim_snp_groups/pim_snp_groups/group_addr (inet:ipv4-address) YANG Description: group ip address """ return self.__group_addr def _set_group_addr(self, v, load=False): """ Setter method for group_addr, mapped from YANG variable /igmp_snooping_state/pim_snp_groups/pim_snp_groups/group_addr (inet:ipv4-address) If this variable is read-only (config: false) in the source YANG file, then _set_group_addr is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_group_addr() directly. YANG Description: group ip address """ parent = getattr(self, "_parent", None) if parent is not None and load is False: raise AttributeError("Cannot set keys directly when" + " within an instantiated list") if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}), is_leaf=True, yang_name="group-addr", rest_name="group-addr", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, is_keyval=True, namespace='urn:brocade.com:mgmt:brocade-mc-hms-operational', defining_module='brocade-mc-hms-operational', yang_type='inet:ipv4-address', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """group_addr must be of a type compatible with inet:ipv4-address""", 'defined-type': "inet:ipv4-address", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}), is_leaf=True, yang_name="group-addr", rest_name="group-addr", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, is_keyval=True, namespace='urn:brocade.com:mgmt:brocade-mc-hms-operational', defining_module='brocade-mc-hms-operational', yang_type='inet:ipv4-address', is_config=False)""", }) self.__group_addr = t if hasattr(self, '_set'): self._set() def _unset_group_addr(self): self.__group_addr = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}), is_leaf=True, yang_name="group-addr", rest_name="group-addr", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, is_keyval=True, namespace='urn:brocade.com:mgmt:brocade-mc-hms-operational', defining_module='brocade-mc-hms-operational', yang_type='inet:ipv4-address', is_config=False) def _get_vlan_id(self): """ Getter method for vlan_id, mapped from YANG variable /igmp_snooping_state/pim_snp_groups/pim_snp_groups/vlan_id (uint32) YANG Description: vlan id """ return self.__vlan_id def _set_vlan_id(self, v, load=False): """ Setter method for vlan_id, mapped from YANG variable /igmp_snooping_state/pim_snp_groups/pim_snp_groups/vlan_id (uint32) If this variable is read-only (config: false) in the source YANG file, then _set_vlan_id is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_vlan_id() directly. YANG Description: vlan id """ parent = getattr(self, "_parent", None) if parent is not None and load is False: raise AttributeError("Cannot set keys directly when" + " within an instantiated list") if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="vlan-id", rest_name="vlan-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, is_keyval=True, namespace='urn:brocade.com:mgmt:brocade-mc-hms-operational', defining_module='brocade-mc-hms-operational', yang_type='uint32', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """vlan_id must be of a type compatible with uint32""", 'defined-type': "uint32", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="vlan-id", rest_name="vlan-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, is_keyval=True, namespace='urn:brocade.com:mgmt:brocade-mc-hms-operational', defining_module='brocade-mc-hms-operational', yang_type='uint32', is_config=False)""", }) self.__vlan_id = t if hasattr(self, '_set'): self._set() def _unset_vlan_id(self): self.__vlan_id = YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="vlan-id", rest_name="vlan-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, is_keyval=True, namespace='urn:brocade.com:mgmt:brocade-mc-hms-operational', defining_module='brocade-mc-hms-operational', yang_type='uint32', is_config=False) def _get_uptime(self): """ Getter method for uptime, mapped from YANG variable /igmp_snooping_state/pim_snp_groups/pim_snp_groups/uptime (string) YANG Description: group up time """ return self.__uptime def _set_uptime(self, v, load=False): """ Setter method for uptime, mapped from YANG variable /igmp_snooping_state/pim_snp_groups/pim_snp_groups/uptime (string) If this variable is read-only (config: false) in the source YANG file, then _set_uptime is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_uptime() directly. YANG Description: group up time """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=unicode, is_leaf=True, yang_name="uptime", rest_name="uptime", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-mc-hms-operational', defining_module='brocade-mc-hms-operational', yang_type='string', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """uptime must be of a type compatible with string""", 'defined-type': "string", 'generated-type': """YANGDynClass(base=unicode, is_leaf=True, yang_name="uptime", rest_name="uptime", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-mc-hms-operational', defining_module='brocade-mc-hms-operational', yang_type='string', is_config=False)""", }) self.__uptime = t if hasattr(self, '_set'): self._set() def _unset_uptime(self): self.__uptime = YANGDynClass(base=unicode, is_leaf=True, yang_name="uptime", rest_name="uptime", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-mc-hms-operational', defining_module='brocade-mc-hms-operational', yang_type='string', is_config=False) def _get_expiry_time(self): """ Getter method for expiry_time, mapped from YANG variable /igmp_snooping_state/pim_snp_groups/pim_snp_groups/expiry_time (string) YANG Description: group expiry time """ return self.__expiry_time def _set_expiry_time(self, v, load=False): """ Setter method for expiry_time, mapped from YANG variable /igmp_snooping_state/pim_snp_groups/pim_snp_groups/expiry_time (string) If this variable is read-only (config: false) in the source YANG file, then _set_expiry_time is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_expiry_time() directly. YANG Description: group expiry time """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=unicode, is_leaf=True, yang_name="expiry-time", rest_name="expiry-time", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-mc-hms-operational', defining_module='brocade-mc-hms-operational', yang_type='string', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """expiry_time must be of a type compatible with string""", 'defined-type': "string", 'generated-type': """YANGDynClass(base=unicode, is_leaf=True, yang_name="expiry-time", rest_name="expiry-time", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-mc-hms-operational', defining_module='brocade-mc-hms-operational', yang_type='string', is_config=False)""", }) self.__expiry_time = t if hasattr(self, '_set'): self._set() def _unset_expiry_time(self): self.__expiry_time = YANGDynClass(base=unicode, is_leaf=True, yang_name="expiry-time", rest_name="expiry-time", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-mc-hms-operational', defining_module='brocade-mc-hms-operational', yang_type='string', is_config=False) def _get_last_reporter(self): """ Getter method for last_reporter, mapped from YANG variable /igmp_snooping_state/pim_snp_groups/pim_snp_groups/last_reporter (inet:ipv4-address) YANG Description: last reporter """ return self.__last_reporter def _set_last_reporter(self, v, load=False): """ Setter method for last_reporter, mapped from YANG variable /igmp_snooping_state/pim_snp_groups/pim_snp_groups/last_reporter (inet:ipv4-address) If this variable is read-only (config: false) in the source YANG file, then _set_last_reporter is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_last_reporter() directly. YANG Description: last reporter """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}), is_leaf=True, yang_name="last-reporter", rest_name="last-reporter", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-mc-hms-operational', defining_module='brocade-mc-hms-operational', yang_type='inet:ipv4-address', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """last_reporter must be of a type compatible with inet:ipv4-address""", 'defined-type': "inet:ipv4-address", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}), is_leaf=True, yang_name="last-reporter", rest_name="last-reporter", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-mc-hms-operational', defining_module='brocade-mc-hms-operational', yang_type='inet:ipv4-address', is_config=False)""", }) self.__last_reporter = t if hasattr(self, '_set'): self._set() def _unset_last_reporter(self): self.__last_reporter = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'pattern': u'(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}), is_leaf=True, yang_name="last-reporter", rest_name="last-reporter", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-mc-hms-operational', defining_module='brocade-mc-hms-operational', yang_type='inet:ipv4-address', is_config=False) def _get_pim_snp_sources(self): """ Getter method for pim_snp_sources, mapped from YANG variable /igmp_snooping_state/pim_snp_groups/pim_snp_groups/pim_snp_sources (list) YANG Description: pim snooping source instance """ return self.__pim_snp_sources def _set_pim_snp_sources(self, v, load=False): """ Setter method for pim_snp_sources, mapped from YANG variable /igmp_snooping_state/pim_snp_groups/pim_snp_groups/pim_snp_sources (list) If this variable is read-only (config: false) in the source YANG file, then _set_pim_snp_sources is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_pim_snp_sources() directly. YANG Description: pim snooping source instance """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=YANGListType("src_addr",pim_snp_sources.pim_snp_sources, yang_name="pim-snp-sources", rest_name="pim-snp-sources", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='src-addr', extensions={u'tailf-common': {u'callpoint': u'mc-hms-pim-snp-source', u'cli-suppress-show-path': None}}), is_container='list', yang_name="pim-snp-sources", rest_name="pim-snp-sources", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'callpoint': u'mc-hms-pim-snp-source', u'cli-suppress-show-path': None}}, namespace='urn:brocade.com:mgmt:brocade-mc-hms-operational', defining_module='brocade-mc-hms-operational', yang_type='list', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """pim_snp_sources must be of a type compatible with list""", 'defined-type': "list", 'generated-type': """YANGDynClass(base=YANGListType("src_addr",pim_snp_sources.pim_snp_sources, yang_name="pim-snp-sources", rest_name="pim-snp-sources", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='src-addr', extensions={u'tailf-common': {u'callpoint': u'mc-hms-pim-snp-source', u'cli-suppress-show-path': None}}), is_container='list', yang_name="pim-snp-sources", rest_name="pim-snp-sources", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'callpoint': u'mc-hms-pim-snp-source', u'cli-suppress-show-path': None}}, namespace='urn:brocade.com:mgmt:brocade-mc-hms-operational', defining_module='brocade-mc-hms-operational', yang_type='list', is_config=False)""", }) self.__pim_snp_sources = t if hasattr(self, '_set'): self._set() def _unset_pim_snp_sources(self): self.__pim_snp_sources = YANGDynClass(base=YANGListType("src_addr",pim_snp_sources.pim_snp_sources, yang_name="pim-snp-sources", rest_name="pim-snp-sources", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='src-addr', extensions={u'tailf-common': {u'callpoint': u'mc-hms-pim-snp-source', u'cli-suppress-show-path': None}}), is_container='list', yang_name="pim-snp-sources", rest_name="pim-snp-sources", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'callpoint': u'mc-hms-pim-snp-source', u'cli-suppress-show-path': None}}, namespace='urn:brocade.com:mgmt:brocade-mc-hms-operational', defining_module='brocade-mc-hms-operational', yang_type='list', is_config=False) def _get_pim_snp_wg_member_ports(self): """ Getter method for pim_snp_wg_member_ports, mapped from YANG variable /igmp_snooping_state/pim_snp_groups/pim_snp_groups/pim_snp_wg_member_ports (list) """ return self.__pim_snp_wg_member_ports def _set_pim_snp_wg_member_ports(self, v, load=False): """ Setter method for pim_snp_wg_member_ports, mapped from YANG variable /igmp_snooping_state/pim_snp_groups/pim_snp_groups/pim_snp_wg_member_ports (list) If this variable is read-only (config: false) in the source YANG file, then _set_pim_snp_wg_member_ports is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_pim_snp_wg_member_ports() directly. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=YANGListType("interface_name",pim_snp_wg_member_ports.pim_snp_wg_member_ports, yang_name="pim-snp-wg-member-ports", rest_name="pim-snp-wg-member-ports", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='interface-name', extensions={u'tailf-common': {u'callpoint': u'mc_hms-pim-snp-member-port-pim-snp-wg-member-ports-2'}}), is_container='list', yang_name="pim-snp-wg-member-ports", rest_name="pim-snp-wg-member-ports", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'callpoint': u'mc_hms-pim-snp-member-port-pim-snp-wg-member-ports-2'}}, namespace='urn:brocade.com:mgmt:brocade-mc-hms-operational', defining_module='brocade-mc-hms-operational', yang_type='list', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """pim_snp_wg_member_ports must be of a type compatible with list""", 'defined-type': "list", 'generated-type': """YANGDynClass(base=YANGListType("interface_name",pim_snp_wg_member_ports.pim_snp_wg_member_ports, yang_name="pim-snp-wg-member-ports", rest_name="pim-snp-wg-member-ports", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='interface-name', extensions={u'tailf-common': {u'callpoint': u'mc_hms-pim-snp-member-port-pim-snp-wg-member-ports-2'}}), is_container='list', yang_name="pim-snp-wg-member-ports", rest_name="pim-snp-wg-member-ports", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'callpoint': u'mc_hms-pim-snp-member-port-pim-snp-wg-member-ports-2'}}, namespace='urn:brocade.com:mgmt:brocade-mc-hms-operational', defining_module='brocade-mc-hms-operational', yang_type='list', is_config=False)""", }) self.__pim_snp_wg_member_ports = t if hasattr(self, '_set'): self._set() def _unset_pim_snp_wg_member_ports(self): self.__pim_snp_wg_member_ports = YANGDynClass(base=YANGListType("interface_name",pim_snp_wg_member_ports.pim_snp_wg_member_ports, yang_name="pim-snp-wg-member-ports", rest_name="pim-snp-wg-member-ports", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='interface-name', extensions={u'tailf-common': {u'callpoint': u'mc_hms-pim-snp-member-port-pim-snp-wg-member-ports-2'}}), is_container='list', yang_name="pim-snp-wg-member-ports", rest_name="pim-snp-wg-member-ports", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'callpoint': u'mc_hms-pim-snp-member-port-pim-snp-wg-member-ports-2'}}, namespace='urn:brocade.com:mgmt:brocade-mc-hms-operational', defining_module='brocade-mc-hms-operational', yang_type='list', is_config=False) group_addr = __builtin__.property(_get_group_addr) vlan_id = __builtin__.property(_get_vlan_id) uptime = __builtin__.property(_get_uptime) expiry_time = __builtin__.property(_get_expiry_time) last_reporter = __builtin__.property(_get_last_reporter) pim_snp_sources = __builtin__.property(_get_pim_snp_sources) pim_snp_wg_member_ports = __builtin__.property(_get_pim_snp_wg_member_ports) _pyangbind_elements = {'group_addr': group_addr, 'vlan_id': vlan_id, 'uptime': uptime, 'expiry_time': expiry_time, 'last_reporter': last_reporter, 'pim_snp_sources': pim_snp_sources, 'pim_snp_wg_member_ports': pim_snp_wg_member_ports, }

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null

0

6

82c5b036c9f53c13a09225fa05b50aa97b60aaeb

182

py

Python

onadata/apps/sms_support/tests/__init__.py

ubpd/kobocat

45906e07e8f05c30e3e26bab5570a8ab1ee264db

[ "BSD-2-Clause" ]

null

onadata/apps/sms_support/tests/__init__.py

ubpd/kobocat

45906e07e8f05c30e3e26bab5570a8ab1ee264db

[ "BSD-2-Clause" ]

null

onadata/apps/sms_support/tests/__init__.py

ubpd/kobocat

45906e07e8f05c30e3e26bab5570a8ab1ee264db

[ "BSD-2-Clause" ]

null

# coding: utf-8 from __future__ import unicode_literals, print_function, division, absolute_import # from test_parser import TestParser # from test_notallowed import TestNotAllowed

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82cb054f0bc5929fb7f9451aec1041d508a0d838

16,597

py

Python

gen-py/Services_old/GameService.py

afshelburn/irpy

46e9cab832a0bdfa6903ac73bb5dec610b49ea05

[ "MIT" ]

null

gen-py/Services_old/GameService.py

afshelburn/irpy

46e9cab832a0bdfa6903ac73bb5dec610b49ea05

[ "MIT" ]

null

gen-py/Services_old/GameService.py

afshelburn/irpy

46e9cab832a0bdfa6903ac73bb5dec610b49ea05

[ "MIT" ]

null

# # Autogenerated by Thrift Compiler (0.9.1) # # DO NOT EDIT UNLESS YOU ARE SURE THAT YOU KNOW WHAT YOU ARE DOING # # options string: py # from thrift.Thrift import TType, TMessageType, TException, TApplicationException from ttypes import * from thrift.Thrift import TProcessor from thrift.transport import TTransport from thrift.protocol import TBinaryProtocol, TProtocol try: from thrift.protocol import fastbinary except: fastbinary = None class Iface: def update(self, source, target, action, data): """ Parameters: - source - target - action - data """ pass def message(self, source, target, message): """ Parameters: - source - target - message """ pass def initGame(self, gameMode): """ Parameters: - gameMode """ pass class Client(Iface): def __init__(self, iprot, oprot=None): self._iprot = self._oprot = iprot if oprot is not None: self._oprot = oprot self._seqid = 0 def update(self, source, target, action, data): """ Parameters: - source - target - action - data """ self.send_update(source, target, action, data) self.recv_update() def send_update(self, source, target, action, data): self._oprot.writeMessageBegin('update', TMessageType.CALL, self._seqid) args = update_args() args.source = source args.target = target args.action = action args.data = data args.write(self._oprot) self._oprot.writeMessageEnd() self._oprot.trans.flush() def recv_update(self): (fname, mtype, rseqid) = self._iprot.readMessageBegin() if mtype == TMessageType.EXCEPTION: x = TApplicationException() x.read(self._iprot) self._iprot.readMessageEnd() raise x result = update_result() result.read(self._iprot) self._iprot.readMessageEnd() return def message(self, source, target, message): """ Parameters: - source - target - message """ self.send_message(source, target, message) self.recv_message() def send_message(self, source, target, message): self._oprot.writeMessageBegin('message', TMessageType.CALL, self._seqid) args = message_args() args.source = source args.target = target args.message = message args.write(self._oprot) self._oprot.writeMessageEnd() self._oprot.trans.flush() def recv_message(self): (fname, mtype, rseqid) = self._iprot.readMessageBegin() if mtype == TMessageType.EXCEPTION: x = TApplicationException() x.read(self._iprot) self._iprot.readMessageEnd() raise x result = message_result() result.read(self._iprot) self._iprot.readMessageEnd() return def initGame(self, gameMode): """ Parameters: - gameMode """ self.send_initGame(gameMode) self.recv_initGame() def send_initGame(self, gameMode): self._oprot.writeMessageBegin('initGame', TMessageType.CALL, self._seqid) args = initGame_args() args.gameMode = gameMode args.write(self._oprot) self._oprot.writeMessageEnd() self._oprot.trans.flush() def recv_initGame(self): (fname, mtype, rseqid) = self._iprot.readMessageBegin() if mtype == TMessageType.EXCEPTION: x = TApplicationException() x.read(self._iprot) self._iprot.readMessageEnd() raise x result = initGame_result() result.read(self._iprot) self._iprot.readMessageEnd() return class Processor(Iface, TProcessor): def __init__(self, handler): self._handler = handler self._processMap = {} self._processMap["update"] = Processor.process_update self._processMap["message"] = Processor.process_message self._processMap["initGame"] = Processor.process_initGame def process(self, iprot, oprot): (name, type, seqid) = iprot.readMessageBegin() if name not in self._processMap: iprot.skip(TType.STRUCT) iprot.readMessageEnd() x = TApplicationException(TApplicationException.UNKNOWN_METHOD, 'Unknown function %s' % (name)) oprot.writeMessageBegin(name, TMessageType.EXCEPTION, seqid) x.write(oprot) oprot.writeMessageEnd() oprot.trans.flush() return else: self._processMap[name](self, seqid, iprot, oprot) return True def process_update(self, seqid, iprot, oprot): args = update_args() args.read(iprot) iprot.readMessageEnd() result = update_result() self._handler.update(args.source, args.target, args.action, args.data) oprot.writeMessageBegin("update", TMessageType.REPLY, seqid) result.write(oprot) oprot.writeMessageEnd() oprot.trans.flush() def process_message(self, seqid, iprot, oprot): args = message_args() args.read(iprot) iprot.readMessageEnd() result = message_result() self._handler.message(args.source, args.target, args.message) oprot.writeMessageBegin("message", TMessageType.REPLY, seqid) result.write(oprot) oprot.writeMessageEnd() oprot.trans.flush() def process_initGame(self, seqid, iprot, oprot): args = initGame_args() args.read(iprot) iprot.readMessageEnd() result = initGame_result() self._handler.initGame(args.gameMode) oprot.writeMessageBegin("initGame", TMessageType.REPLY, seqid) result.write(oprot) oprot.writeMessageEnd() oprot.trans.flush() # HELPER FUNCTIONS AND STRUCTURES class update_args: """ Attributes: - source - target - action - data """ thrift_spec = ( None, # 0 (1, TType.I16, 'source', None, None, ), # 1 (2, TType.I16, 'target', None, None, ), # 2 (3, TType.I16, 'action', None, None, ), # 3 (4, TType.I16, 'data', None, None, ), # 4 ) def __init__(self, source=None, target=None, action=None, data=None,): self.source = source self.target = target self.action = action self.data = data def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.I16: self.source = iprot.readI16(); else: iprot.skip(ftype) elif fid == 2: if ftype == TType.I16: self.target = iprot.readI16(); else: iprot.skip(ftype) elif fid == 3: if ftype == TType.I16: self.action = iprot.readI16(); else: iprot.skip(ftype) elif fid == 4: if ftype == TType.I16: self.data = iprot.readI16(); else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('update_args') if self.source is not None: oprot.writeFieldBegin('source', TType.I16, 1) oprot.writeI16(self.source) oprot.writeFieldEnd() if self.target is not None: oprot.writeFieldBegin('target', TType.I16, 2) oprot.writeI16(self.target) oprot.writeFieldEnd() if self.action is not None: oprot.writeFieldBegin('action', TType.I16, 3) oprot.writeI16(self.action) oprot.writeFieldEnd() if self.data is not None: oprot.writeFieldBegin('data', TType.I16, 4) oprot.writeI16(self.data) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.iteritems()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class update_result: thrift_spec = ( ) def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('update_result') oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.iteritems()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class message_args: """ Attributes: - source - target - message """ thrift_spec = ( None, # 0 (1, TType.I16, 'source', None, None, ), # 1 (2, TType.I16, 'target', None, None, ), # 2 (3, TType.STRING, 'message', None, None, ), # 3 ) def __init__(self, source=None, target=None, message=None,): self.source = source self.target = target self.message = message def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.I16: self.source = iprot.readI16(); else: iprot.skip(ftype) elif fid == 2: if ftype == TType.I16: self.target = iprot.readI16(); else: iprot.skip(ftype) elif fid == 3: if ftype == TType.STRING: self.message = iprot.readString(); else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('message_args') if self.source is not None: oprot.writeFieldBegin('source', TType.I16, 1) oprot.writeI16(self.source) oprot.writeFieldEnd() if self.target is not None: oprot.writeFieldBegin('target', TType.I16, 2) oprot.writeI16(self.target) oprot.writeFieldEnd() if self.message is not None: oprot.writeFieldBegin('message', TType.STRING, 3) oprot.writeString(self.message) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.iteritems()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class message_result: thrift_spec = ( ) def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('message_result') oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.iteritems()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class initGame_args: """ Attributes: - gameMode """ thrift_spec = ( None, # 0 (1, TType.I16, 'gameMode', None, None, ), # 1 ) def __init__(self, gameMode=None,): self.gameMode = gameMode def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break if fid == 1: if ftype == TType.I16: self.gameMode = iprot.readI16(); else: iprot.skip(ftype) else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('initGame_args') if self.gameMode is not None: oprot.writeFieldBegin('gameMode', TType.I16, 1) oprot.writeI16(self.gameMode) oprot.writeFieldEnd() oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.iteritems()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other) class initGame_result: thrift_spec = ( ) def read(self, iprot): if iprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None and fastbinary is not None: fastbinary.decode_binary(self, iprot.trans, (self.__class__, self.thrift_spec)) return iprot.readStructBegin() while True: (fname, ftype, fid) = iprot.readFieldBegin() if ftype == TType.STOP: break else: iprot.skip(ftype) iprot.readFieldEnd() iprot.readStructEnd() def write(self, oprot): if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None: oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec))) return oprot.writeStructBegin('initGame_result') oprot.writeFieldStop() oprot.writeStructEnd() def validate(self): return def __repr__(self): L = ['%s=%r' % (key, value) for key, value in self.__dict__.iteritems()] return '%s(%s)' % (self.__class__.__name__, ', '.join(L)) def __eq__(self, other): return isinstance(other, self.__class__) and self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other)

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82da13bda7e5f397453d9c85c913fd52a3e799d7

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py

Python

pydepend/tests/assets/testfile.py

herczy/pydepend

ee64ba30efc3e19d643da2ed22e078ef4a06795d

[ "BSD-3-Clause" ]

2

2019-04-21T06:10:09.000Z

2020-04-24T23:12:02.000Z

pydepend/tests/assets/testfile.py

herczy/pydepend

ee64ba30efc3e19d643da2ed22e078ef4a06795d

[ "BSD-3-Clause" ]

null

pydepend/tests/assets/testfile.py

herczy/pydepend

ee64ba30efc3e19d643da2ed22e078ef4a06795d

[ "BSD-3-Clause" ]

null

def outerfunc(): pass

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0

1

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6

7d6d646c7db81403264a4557610980ada589e725

77

py

Python

python/src/test/resources/pyfunc/numpy_power_test.py

maropu/lljvm-translator

322fbe24a27976948c8e8081a9552152dda58b4b

[ "Apache-2.0" ]

70

2017-12-12T10:54:00.000Z

2022-03-22T07:45:19.000Z

python/src/test/resources/pyfunc/numpy_power_test.py

maropu/lljvm-as

322fbe24a27976948c8e8081a9552152dda58b4b

[ "Apache-2.0" ]

14

2018-02-28T01:29:46.000Z

2019-12-10T01:42:22.000Z

python/src/test/resources/pyfunc/numpy_power_test.py

maropu/lljvm-as

322fbe24a27976948c8e8081a9552152dda58b4b

[ "Apache-2.0" ]

4

2019-07-21T07:58:25.000Z

2021-02-01T09:46:59.000Z

import numpy as np def numpy_power_test(x, y): return np.power(-x, 4) / y

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py

Python

src/rrsm/rrsmi/forms.py

jbienkowski/rrsm

a5d5e574c7f7169cd8800402f9f04b2f9325b87e

[ "MIT" ]

3

2019-02-07T18:03:58.000Z

2020-06-30T11:10:30.000Z

src/rrsm/rrsmi/forms.py

jbienkowski/rrsm

a5d5e574c7f7169cd8800402f9f04b2f9325b87e

[ "MIT" ]

28

2019-05-20T07:17:40.000Z

2021-09-09T11:40:41.000Z

src/rrsm/rrsmi/forms.py

jbienkowski/rrsm

a5d5e574c7f7169cd8800402f9f04b2f9325b87e

[ "MIT" ]

1

2019-07-26T10:22:55.000Z

from django import forms from .models import \ SearchEvent, SearchPeakMotions, SearchCombined, SearchCustom, \ COORD_INTEGERS, COORD_DECIMALS, \ PGA_PGV_INTEGERS, PGA_PGV_DECIMALS, \ MAG_INTEGERS, MAG_DECIMALS LABEL_EVENT_ID = 'Event Id' LABEL_DATE_START = 'Start date (YYYY-MM-DD)' LABEL_DATE_END = 'End date (YYYY-MM-DD)' LABEL_MAGNITUDE_MIN = 'Magnitude minimum' LABEL_NETWORK_CODE = 'Network code' LABEL_STATION_CODE = 'Station code' LABEL_PGA_MIN = 'PGA minimum [cm/s^2]' LABEL_PGA_MAX = 'PGA maximum [cm/s^2]' LABEL_PGV_MIN = 'PGV minimum [cm/s]' LABEL_PGV_MAX = 'PGV maximum [cm/s]' LABEL_STAT_LAT_MIN = 'Station latitude minimum' LABEL_STAT_LAT_MAX = 'Station latitude maximum' LABEL_STAT_LON_MIN = 'Station longitude minimum' LABEL_STAT_LON_MAX = 'Station longitude maximum' LABEL_EVENT_LAT_MIN = 'Event latitude minimum' LABEL_EVENT_LAT_MAX = 'Event latitude maximum' LABEL_EVENT_LON_MIN = 'Event longitude minimum' LABEL_EVENT_LON_MAX = 'Event longitude maximum' TEXT_EVENT_ID = 'Alphanumeric string, e.g. "20180414_0000061"' TEXT_DATE_START = 'Date field, e.g. "2018-01-21"' TEXT_DATE_END = 'Date field, e.g. "2018-01-21"' TEXT_MAGNITUDE_MIN = 'Maximum {} digits including {} decimal place'.format( MAG_INTEGERS + MAG_DECIMALS, MAG_DECIMALS ) TEXT_NETWORK_CODE = 'Alphanumeric string' TEXT_STATION_CODE = 'Alphanumeric string' TEXT_PGA_MIN = 'Maximum {} digits including {} decimal places'.format( PGA_PGV_INTEGERS + PGA_PGV_DECIMALS, PGA_PGV_DECIMALS ) TEXT_PGA_MAX = 'Maximum {} digits including {} decimal places'.format( PGA_PGV_INTEGERS + PGA_PGV_DECIMALS, PGA_PGV_DECIMALS ) TEXT_PGV_MIN = 'Maximum {} digits including {} decimal places'.format( PGA_PGV_INTEGERS + PGA_PGV_DECIMALS, PGA_PGV_DECIMALS ) TEXT_PGV_MAX = 'Maximum {} digits including {} decimal places'.format( PGA_PGV_INTEGERS + PGA_PGV_DECIMALS, PGA_PGV_DECIMALS ) TEXT_STAT_LAT_MIN = 'Maximum {} digits including {} decimal places'.format( COORD_INTEGERS + COORD_DECIMALS, COORD_DECIMALS ) TEXT_STAT_LAT_MAX = 'Maximum {} digits including {} decimal places'.format( COORD_INTEGERS + COORD_DECIMALS, COORD_DECIMALS ) TEXT_STAT_LON_MIN = 'Maximum {} digits including {} decimal places'.format( COORD_INTEGERS + COORD_DECIMALS, COORD_DECIMALS ) TEXT_STAT_LON_MAX = 'Maximum {} digits including {} decimal places'.format( COORD_INTEGERS + COORD_DECIMALS, COORD_DECIMALS ) TEXT_EVENT_LAT_MIN = 'Maximum {} digits including {} decimal places'.format( COORD_INTEGERS + COORD_DECIMALS, COORD_DECIMALS ) TEXT_EVENT_LAT_MAX = 'Maximum {} digits including {} decimal places'.format( COORD_INTEGERS + COORD_DECIMALS, COORD_DECIMALS ) TEXT_EVENT_LON_MIN = 'Maximum {} digits including {} decimal places'.format( COORD_INTEGERS + COORD_DECIMALS, COORD_DECIMALS ) TEXT_EVENT_LON_MAX = 'Maximum {} digits including {} decimal places'.format( COORD_INTEGERS + COORD_DECIMALS, COORD_DECIMALS ) class SearchEventsForm(forms.ModelForm): class Meta: model = SearchEvent fields = ( 'event_id', 'date_start', 'date_end', 'magnitude_min', 'network_code', 'station_code', 'event_lat_min', 'event_lat_max', 'event_lon_min', 'event_lon_max', ) labels = { 'event_id': LABEL_EVENT_ID, 'date_start': LABEL_DATE_START, 'date_end': LABEL_DATE_END, 'magnitude_min': LABEL_MAGNITUDE_MIN, 'network_code': LABEL_NETWORK_CODE, 'station_code': LABEL_STATION_CODE, 'event_lat_min': LABEL_EVENT_LAT_MIN, 'event_lat_max': LABEL_EVENT_LAT_MAX, 'event_lon_min': LABEL_EVENT_LON_MIN, 'event_lon_max': LABEL_EVENT_LON_MAX, } help_texts = { 'event_id': TEXT_EVENT_ID, 'date_start': TEXT_DATE_START, 'date_end': TEXT_DATE_END, 'magnitude_min': TEXT_MAGNITUDE_MIN, 'network_code': TEXT_NETWORK_CODE, 'station_code': TEXT_STATION_CODE, 'event_lat_min': TEXT_EVENT_LAT_MIN, 'event_lat_max': TEXT_EVENT_LAT_MAX, 'event_lon_min': TEXT_EVENT_LON_MIN, 'event_lon_max': TEXT_EVENT_LON_MAX, } class SearchPeakMotionsForm(forms.ModelForm): class Meta: model = SearchPeakMotions fields = ( 'pga_min', 'pga_max', 'pgv_min', 'pgv_max', ) labels = { 'pga_min': LABEL_PGA_MIN, 'pga_max': LABEL_PGA_MAX, 'pgv_min': LABEL_PGV_MIN, 'pgv_max': LABEL_PGV_MAX, } help_texts = { 'pga_min': TEXT_PGA_MIN, 'pga_max': TEXT_PGA_MAX, 'pgv_min': TEXT_PGV_MIN, 'pgv_max': TEXT_PGV_MAX, } class SearchCombinedForm(forms.ModelForm): class Meta: model = SearchCombined fields = ( 'magnitude_min', 'pga_min', 'pga_max', 'pgv_min', 'pgv_max', 'stat_lat_min', 'stat_lat_max', 'stat_lon_min', 'stat_lon_max', 'event_lat_min', 'event_lat_max', 'event_lon_min', 'event_lon_max', ) labels = { 'magnitude_min': LABEL_MAGNITUDE_MIN, 'pga_min': LABEL_PGA_MIN, 'pga_max': LABEL_PGA_MAX, 'pgv_min': LABEL_PGV_MIN, 'pgv_max': LABEL_PGV_MAX, 'stat_lat_min': LABEL_STAT_LAT_MIN, 'stat_lat_max': LABEL_STAT_LAT_MAX, 'stat_lon_min': LABEL_STAT_LON_MIN, 'stat_lon_max': LABEL_STAT_LON_MAX, 'event_lat_min': LABEL_EVENT_LAT_MIN, 'event_lat_max': LABEL_EVENT_LAT_MAX, 'event_lon_min': LABEL_EVENT_LON_MIN, 'event_lon_max': LABEL_EVENT_LON_MAX, } help_texts = { 'magnitude_min': TEXT_MAGNITUDE_MIN, 'pga_min': TEXT_PGA_MIN, 'pga_max': TEXT_PGA_MAX, 'pgv_min': TEXT_PGV_MIN, 'pgv_max': TEXT_PGV_MAX, 'stat_lat_min': TEXT_STAT_LAT_MIN, 'stat_lat_max': TEXT_STAT_LAT_MAX, 'stat_lon_min': TEXT_STAT_LON_MIN, 'stat_lon_max': TEXT_STAT_LON_MAX, 'event_lat_min': TEXT_EVENT_LAT_MIN, 'event_lat_max': TEXT_EVENT_LAT_MAX, 'event_lon_min': TEXT_EVENT_LON_MIN, 'event_lon_max': TEXT_EVENT_LON_MAX, } class SearchCustomForm(forms.ModelForm): class Meta: model = SearchCustom fields = ( 'event_id', 'date_start', 'date_end', 'magnitude_min', 'network_code', 'station_code', 'pga_min', 'pga_max', 'pgv_min', 'pgv_max', 'stat_lat_min', 'stat_lat_max', 'stat_lon_min', 'stat_lon_max', 'event_lat_min', 'event_lat_max', 'event_lon_min', 'event_lon_max', ) labels = { 'event_id': LABEL_EVENT_ID, 'date_start': LABEL_DATE_START, 'date_end': LABEL_DATE_END, 'magnitude_min': LABEL_MAGNITUDE_MIN, 'network_code': LABEL_NETWORK_CODE, 'station_code': LABEL_STATION_CODE, 'pga_min': LABEL_PGA_MIN, 'pga_max': LABEL_PGA_MAX, 'pgv_min': LABEL_PGV_MIN, 'pgv_max': LABEL_PGV_MAX, 'stat_lat_min': LABEL_STAT_LAT_MIN, 'stat_lat_max': LABEL_STAT_LAT_MAX, 'stat_lon_min': LABEL_STAT_LON_MIN, 'stat_lon_max': LABEL_STAT_LON_MAX, 'event_lat_min': LABEL_EVENT_LAT_MIN, 'event_lat_max': LABEL_EVENT_LAT_MAX, 'event_lon_min': LABEL_EVENT_LON_MIN, 'event_lon_max': LABEL_EVENT_LON_MAX, } help_texts = { 'event_id': TEXT_EVENT_ID, 'date_start': TEXT_DATE_START, 'date_end': TEXT_DATE_END, 'magnitude_min': TEXT_MAGNITUDE_MIN, 'network_code': TEXT_NETWORK_CODE, 'station_code': TEXT_STATION_CODE, 'pga_min': TEXT_PGA_MIN, 'pga_max': TEXT_PGA_MAX, 'pgv_min': TEXT_PGV_MIN, 'pgv_max': TEXT_PGV_MAX, 'stat_lat_min': TEXT_STAT_LAT_MIN, 'stat_lat_max': TEXT_STAT_LAT_MAX, 'stat_lon_min': TEXT_STAT_LON_MIN, 'stat_lon_max': TEXT_STAT_LON_MAX, 'event_lat_min': TEXT_EVENT_LAT_MIN, 'event_lat_max': TEXT_EVENT_LAT_MAX, 'event_lon_min': TEXT_EVENT_LON_MIN, 'event_lon_max': TEXT_EVENT_LON_MAX, }

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7d8748cf36aabfd83f6c4d998391496ffea1e82b

18,029

py

Python

deepcell/dc_training_functions.py

hftsai/deepcell-tf_OIST

55d7da0fba09c5959bf375ebdc471e3b266948a1

[ "MIT" ]

null

deepcell/dc_training_functions.py

hftsai/deepcell-tf_OIST

55d7da0fba09c5959bf375ebdc471e3b266948a1

[ "MIT" ]

null

deepcell/dc_training_functions.py

hftsai/deepcell-tf_OIST

55d7da0fba09c5959bf375ebdc471e3b266948a1

[ "MIT" ]

null

""" dc_training_functions.py Functions for training convolutional neural networks @author: David Van Valen """ """ Import python packages """ import numpy as np from numpy import array import matplotlib import matplotlib.pyplot as plt import shelve from contextlib import closing import os import glob import re import numpy as np import fnmatch import tifffile as tiff from numpy.fft import fft2, ifft2, fftshift from skimage.io import imread from scipy import ndimage import threading import scipy.ndimage as ndi from scipy import linalg import re import random import itertools import h5py import datetime from skimage.measure import label, regionprops from skimage.segmentation import clear_border from scipy.ndimage.morphology import binary_fill_holes from skimage import morphology as morph from numpy.fft import fft2, ifft2, fftshift from skimage.io import imread from skimage.filters import threshold_otsu import skimage as sk from sklearn.utils.linear_assignment_ import linear_assignment from sklearn.utils import class_weight import tensorflow as tf from tensorflow import keras from tensorflow.python.keras import backend as K from tensorflow.python.keras.layers import Layer, InputSpec, Input, Activation, Dense, Flatten, BatchNormalization, \ Conv2D, MaxPool2D, AvgPool2D, Concatenate from tensorflow.python.keras.preprocessing.image import random_rotation, random_shift, random_shear, random_zoom, \ random_channel_shift, apply_transform, flip_axis, array_to_img, img_to_array, load_img, ImageDataGenerator, \ Iterator, NumpyArrayIterator, DirectoryIterator from tensorflow.python.keras.callbacks import ModelCheckpoint, LearningRateScheduler from tensorflow.python.keras import activations, initializers, losses, regularizers, constraints from tensorflow.python.keras._impl.keras.utils import conv_utils from dc_helper_functions import * from dc_image_generators import * """ Training convnets """ def train_model_sample(model=None, dataset=None, optimizer=None, expt="", it=0, batch_size=32, n_epoch=100, direc_save="/home/vanvalen/ImageAnalysis/DeepCell2/trained_networks/", direc_data="/home/vanvalen/ImageAnalysis/DeepCell2/training_data_npz/", lr_sched=rate_scheduler(lr=0.01, decay=0.95), rotation_range=0, flip=True, shear=0, class_weight=None, data_format=None): training_data_file_name = os.path.join(direc_data, dataset + ".npz") todays_date = datetime.datetime.now().strftime("%Y-%m-%d") file_name_save = os.path.join(direc_save, todays_date + "_" + dataset + "_" + expt + "_" + str(it) + ".h5") file_name_save_loss = os.path.join(direc_save, todays_date + "_" + dataset + "_" + expt + "_" + str(it) + ".npz") train_dict, (X_test, Y_test) = get_data(training_data_file_name) # the data, shuffled and split between train and test sets print('X_train shape:', train_dict["channels"].shape) print(train_dict["pixels_x"].shape[0], 'train samples') print(X_test.shape[0], 'test samples') # determine the number of classes output_shape = model.layers[-1].output_shape n_classes = output_shape[1] print output_shape, n_classes # convert class vectors to binary class matrices train_dict["labels"] = to_categorical(train_dict["labels"], n_classes) Y_test = to_categorical(Y_test, n_classes) model.compile(loss='categorical_crossentropy', optimizer=optimizer, metrics=['accuracy']) print('Using real-time data augmentation.') # this will do preprocessing and realtime data augmentation datagen = SampleDataGenerator( rotation_range=rotation_range, # randomly rotate images by 0 to rotation_range degrees shear_range=shear, # randomly shear images in the range (radians , -shear_range to shear_range) horizontal_flip=flip, # randomly flip images vertical_flip=flip, data_format=data_format) # randomly flip images # fit the model on the batches generated by datagen.flow() loss_history = model.fit_generator(datagen.sample_flow(train_dict, batch_size=batch_size, data_format=data_format), steps_per_epoch=len(train_dict["labels"]) / batch_size, epochs=n_epoch, validation_data=(X_test, Y_test), validation_steps=X_test.shape[0] / batch_size, class_weight=class_weight, callbacks=[ModelCheckpoint(file_name_save, monitor='val_loss', verbose=0, save_best_only=True, mode='auto'), LearningRateScheduler(lr_sched)]) np.savez(file_name_save_loss, loss_history=loss_history.history) def train_model_conv(model=None, dataset=None, optimizer=None, expt="", it=0, batch_size=1, n_epoch=100, direc_save="/home/vanvalen/ImageAnalysis/DeepCell2/trained_networks/", direc_data="/home/vanvalen/ImageAnalysis/DeepCell2/training_data_npz/", lr_sched=rate_scheduler(lr=0.01, decay=0.95), rotation_range=0, flip=True, shear=0, class_weight=None, data_format=None): training_data_file_name = os.path.join(direc_data, dataset + ".npz") todays_date = datetime.datetime.now().strftime("%Y-%m-%d") file_name_save = os.path.join(direc_save, todays_date + "_" + dataset + "_" + expt + "_" + str(it) + ".h5") file_name_save_loss = os.path.join(direc_save, todays_date + "_" + dataset + "_" + expt + "_" + str(it) + ".npz") train_dict, (X_test, Y_test) = get_data(training_data_file_name, mode='conv') class_weights = None # class_weight #train_dict["class_weights"] # the data, shuffled and split between train and test sets print('Training data shape:', train_dict["channels"].shape) print('Training labels shape:', train_dict["labels"].shape) print('Testing data shape:', X_test.shape) print('Testing labels shape:', Y_test.shape) # determine the number of classes output_shape = model.layers[-1].output_shape n_classes = output_shape[-1] print output_shape, n_classes print class_weights def loss_function(y_true, y_pred): return weighted_categorical_crossentropy(y_true, y_pred, n_classes=n_classes, from_logits=False) model.compile(loss=loss_function, optimizer=optimizer, metrics=['accuracy']) print model.summary() print('Using real-time data augmentation.') # this will do preprocessing and realtime data augmentation datagen = ImageFullyConvDataGenerator( rotation_range=rotation_range, # randomly rotate images by 0 to rotation_range degrees shear_range=shear, # randomly shear images in the range (radians , -shear_range to shear_range) horizontal_flip=flip, # randomly flip images vertical_flip=flip, data_format=data_format, target_size=output_shape[1]) # randomly flip images x, y = datagen.flow(train_dict, batch_size=1).next() reshaped_y_test = np.zeros((Y_test.shape[0], Y_test.shape[1], output_shape[1], output_shape[1])) for i in xrange(Y_test.shape[0]): reshaped_y_test[i] = reshape_targets(Y_test[i], output_shape[1]) Y_test = np.rollaxis(reshaped_y_test, 1, 4) # fit the model on the batches generated by datagen.flow() loss_history = model.fit_generator(datagen.flow(train_dict, batch_size=batch_size, data_format=data_format), steps_per_epoch=train_dict["labels"].shape[0] / batch_size, epochs=n_epoch, validation_data=(X_test, Y_test), validation_steps=X_test.shape[0] / batch_size, callbacks=[ModelCheckpoint(file_name_save, monitor='val_loss', verbose=1, save_best_only=True, mode='auto'), LearningRateScheduler(lr_sched)]) model.save_weights(file_name_save) np.savez(file_name_save_loss, loss_history=loss_history.history) return model def train_model_disc(model=None, dataset=None, optimizer=None, expt="", it=0, batch_size=1, n_epoch=100, direc_save="/home/vanvalen/ImageAnalysis/DeepCell2/trained_networks/", direc_data="/home/vanvalen/ImageAnalysis/DeepCell2/training_data_npz/", lr_sched=rate_scheduler(lr=0.01, decay=0.95), rotation_range=0, flip=True, shear=0, class_weight=None): training_data_file_name = os.path.join(direc_data, dataset + ".npz") todays_date = datetime.datetime.now().strftime("%Y-%m-%d") file_name_save = os.path.join(direc_save, todays_date + "_" + dataset + "_" + expt + "_" + str(it) + ".h5") file_name_save_loss = os.path.join(direc_save, todays_date + "_" + dataset + "_" + expt + "_" + str(it) + ".npz") train_dict, (X_test, Y_test) = get_data(training_data_file_name, mode='conv') # the data, shuffled and split between train and test sets print('Training data shape:', train_dict["channels"].shape) print('Training labels shape:', train_dict["labels"].shape) print('Testing data shape:', X_test.shape) print('Testing labels shape:', Y_test.shape) # determine the number of classes output_shape = model.layers[-1].output_shape n_classes = output_shape[-1] print output_shape, n_classes def loss_function(y_true, y_pred): return discriminative_instance_loss(y_true, y_pred) model.compile(loss=loss_function, optimizer=optimizer) print('Using real-time data augmentation.') # this will do preprocessing and realtime data augmentation datagen = ImageFullyConvDataGenerator( rotation_range=rotation_range, # randomly rotate images by 0 to rotation_range degrees shear_range=shear, # randomly shear images in the range (radians , -shear_range to shear_range) horizontal_flip=flip, # randomly flip images vertical_flip=flip) # randomly flip images Y_test = np.rollaxis(Y_test, 1, 4) loss_history = model.fit_generator(datagen.flow(train_dict, batch_size=batch_size), steps_per_epoch=train_dict["labels"].shape[0] / batch_size, epochs=n_epoch, validation_data=(X_test, Y_test), validation_steps=X_test.shape[0] / batch_size, callbacks=[ModelCheckpoint(file_name_save, monitor='val_loss', verbose=1, save_best_only=True, mode='auto'), LearningRateScheduler(lr_sched)]) model.save_weights(file_name_save) np.savez(file_name_save_loss, loss_history=loss_history.history) return model def train_model_conv_sample(model=None, dataset=None, optimizer=None, expt="", it=0, batch_size=1, n_epoch=100, direc_save="/home/vanvalen/ImageAnalysis/DeepCell2/trained_networks/", direc_data="/home/vanvalen/ImageAnalysis/DeepCell2/training_data_npz/", lr_sched=rate_scheduler(lr=0.01, decay=0.95), rotation_range=0, flip=True, shear=0, class_weights=None): training_data_file_name = os.path.join(direc_data, dataset + ".npz") todays_date = datetime.datetime.now().strftime("%Y-%m-%d") file_name_save = os.path.join(direc_save, todays_date + "_" + dataset + "_" + expt + "_" + str(it) + ".h5") file_name_save_loss = os.path.join(direc_save, todays_date + "_" + dataset + "_" + expt + "_" + str(it) + ".npz") train_dict, (X_test, Y_test) = get_data(training_data_file_name, mode='conv_sample') class_weights = class_weights # train_dict["class_weights"] # the data, shuffled and split between train and test sets print('Training data shape:', train_dict["channels"].shape) print('Training labels shape:', train_dict["labels"].shape) print('Testing data shape:', X_test.shape) print('Testing labels shape:', Y_test.shape) # determine the number of classes output_shape = model.layers[-1].output_shape n_classes = output_shape[-1] print output_shape, n_classes class_weights = np.array([1, 1, 1], dtype=K.floatx()) def loss_function(y_true, y_pred): return sample_categorical_crossentropy(y_true, y_pred, axis=3, class_weights=class_weights, from_logits=False) model.compile(loss=loss_function, optimizer=optimizer, metrics=['accuracy']) print('Using real-time data augmentation.') # this will do preprocessing and realtime data augmentation datagen = ImageFullyConvDataGenerator( rotation_range=rotation_range, # randomly rotate images by 0 to rotation_range degrees shear_range=shear, # randomly shear images in the range (radians , -shear_range to shear_range) horizontal_flip=flip, # randomly flip images vertical_flip=flip) # randomly flip images x, y = datagen.flow(train_dict, batch_size=1).next() Y_test = np.rollaxis(Y_test, 1, 4) # fit the model on the batches generated by datagen.flow() loss_history = model.fit_generator(datagen.flow(train_dict, batch_size=batch_size), steps_per_epoch=train_dict["labels"].shape[0] / batch_size, epochs=n_epoch, validation_data=(X_test, Y_test), validation_steps=X_test.shape[0] / batch_size, callbacks=[ModelCheckpoint(file_name_save, monitor='val_loss', verbose=1, save_best_only=True, mode='auto'), LearningRateScheduler(lr_sched)]) model.save_weights(file_name_save) np.savez(file_name_save_loss, loss_history=loss_history.history) data_location = '/home/vanvalen/Data/RAW_40X_tube/set1/' channel_names = ["channel004", "channel001"] image_list = get_images_from_directory(data_location, channel_names) image = image_list[0] for j in xrange(image.shape[1]): image[0, j, :, :] = process_image(image[0, j, :, :], 30, 30, False) pred = model.predict(image) for j in xrange(3): save_name = 'feature_' + str(j) + '.tiff' tiff.imsave(save_name, pred[0, :, :, j]) return model def train_model_movie(model=None, dataset=None, optimizer=None, expt="", it=0, batch_size=1, n_epoch=100, direc_save="/data/trained_networks/nuclear_movie", direc_data="/data/training_data_npz/nuclear_movie", lr_sched=rate_scheduler(lr=0.01, decay=0.95), number_of_frames=10, rotation_range=0, flip=True, shear=0, class_weight=None): training_data_file_name = os.path.join(direc_data, dataset + ".npz") todays_date = datetime.datetime.now().strftime("%Y-%m-%d") file_name_save = os.path.join(direc_save, todays_date + "_" + dataset + "_" + expt + "_" + str(it) + ".h5") file_name_save_loss = os.path.join(direc_save, todays_date + "_" + dataset + "_" + expt + "_" + str(it) + ".npz") train_dict, (X_test, Y_test) = get_data(training_data_file_name, mode='movie') class_weights = None # class_weight #train_dict["class_weights"] # the data, shuffled and split between train and test sets print('Training data shape:', train_dict["channels"].shape) print('Training labels shape:', train_dict["labels"].shape) print('Testing data shape:', X_test.shape) print('Testing labels shape:', Y_test.shape) # determine the number of classes output_shape = model.layers[-1].output_shape n_classes = output_shape[-1] print output_shape, n_classes def loss_function(y_true, y_pred): return discriminative_instance_loss_3D(y_true, y_pred) model.compile(loss=loss_function, optimizer=optimizer) print('Using real-time data augmentation.') # this will do preprocessing and realtime data augmentation datagen = MovieDataGenerator( rotation_range=rotation_range, # randomly rotate images by 0 to rotation_range degrees shear_range=shear, # randomly shear images in the range (radians , -shear_range to shear_range) horizontal_flip=flip, # randomly flip images vertical_flip=flip) # randomly flip images print train_dict["channels"].shape X_test = X_test[:, :, 0:number_of_frames, :, :] Y_test = Y_test[:, :, 0:number_of_frames, :, :] Y_test = np.rollaxis(Y_test, 1, 5) # fit the model on the batches generated by datagen.flow() loss_history = model.fit_generator( datagen.flow(train_dict, batch_size=batch_size, number_of_frames=number_of_frames), steps_per_epoch=train_dict["labels"].shape[0] / batch_size, epochs=n_epoch, validation_data=(X_test, Y_test), validation_steps=X_test.shape[0] / batch_size, callbacks=[ModelCheckpoint(file_name_save, monitor='val_loss', verbose=1, save_best_only=True, mode='auto'), LearningRateScheduler(lr_sched)]) model.save_weights(file_name_save) np.savez(file_name_save_loss, loss_history=loss_history.history) return model

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0

6

7d9fb2b0ea9e79230e9e7b00fe4cc28654149340

18

py

Python

core/leras/__init__.py

chuanli11/GFPGAN

4adbf820cef782c7d33113be35e5f1a49f2a3793

[ "BSD-3-Clause" ]

null

core/leras/__init__.py

chuanli11/GFPGAN

4adbf820cef782c7d33113be35e5f1a49f2a3793

[ "BSD-3-Clause" ]

null

core/leras/__init__.py

chuanli11/GFPGAN

4adbf820cef782c7d33113be35e5f1a49f2a3793

[ "BSD-3-Clause" ]

null

from .nn import nn

18

0.777778

4

18

3.5

0.75

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1

0

1

0

1

0

6

7dbac9ceccc14f9146dac7d36a1d13901505bce2

9,553

py

Python

unittests.py

bclephas/testfile

a1eadc5bec3900b54d2c7b503465cbc450c46ec1

[ "MIT" ]

null

unittests.py

bclephas/testfile

a1eadc5bec3900b54d2c7b503465cbc450c46ec1

[ "MIT" ]

null

unittests.py

bclephas/testfile

a1eadc5bec3900b54d2c7b503465cbc450c46ec1

[ "MIT" ]

null

import mock import unittest import testfile @mock.patch('testfile._execute_commandline', return_value=('', '', 0)) @mock.patch('testfile._print_verbose') @mock.patch('testfile._print_result') @mock.patch('testfile._terminate_if_required') class Testfile_tests(unittest.TestCase): def setUp(self): pass def test_single_test__no_testcases__executes_ok(self, mock_term, mock_result, mock_verbose, mock_execute): config = {'tests': {}} returncode = testfile.execute_testfile(config) self.assertEqual(0, returncode) def test_single_test__single_testcase__executes_ok(self, mock_term, mock_result, mock_verbose, mock_execute): config = { 'tests': [ { 'test': 'test_1', 'steps': [ 'echo foo' ] }] } returncode = testfile.execute_testfile(config) self.assertEqual(0, returncode) def test_single_test__multiple_testcases__executes_ok(self, mock_term, mock_result, mock_verbose, mock_execute): config = { 'tests': [ { 'test': 'test_1', 'steps': [ 'echo foo' ] }, { 'test': 'test_2', 'steps': [ 'echo bar' ] }, ] } returncode = testfile.execute_testfile(config) self.assertEqual(0, returncode) def test_single_test__no_fixture__ok(self, mock_term, mock_result, mock_verbose, mock_execute): config = { 'tests': [ { 'test': 'test_1', 'steps': [ 'echo foo' ] } ] } returncode = testfile.execute_testfile(config) self.assertEqual(0, returncode) def test_single_test__no_tests__should_not_break(self, mock_term, mock_result, mock_verbose, mock_execute): config = { } returncode = testfile.execute_testfile(config) self.assertEqual(0, returncode) def test_single_test__one_time_setup__called_exactly_once(self, mock_term, mock_result, mock_verbose, mock_execute): config = { 'fixture': { 'onetime_setup': 'foo', }, 'tests': [ { 'test': 'test_1', 'steps': [ 'echo foo' ] }, { 'test': 'test_2', 'steps': [ 'echo bar' ] }, ] } testfile.execute_testfile(config, verbose=True) self.assertEqual(3, mock_execute.call_count) mock_execute.assert_has_calls([mock.call('foo'), mock.call('echo foo'), mock.call('echo bar')]) def test_single_test__one_time_teardown__called_exactly_once(self, mock_term, mock_result, mock_verbose, mock_execute): config = { 'fixture': { 'onetime_teardown': 'foo' }, 'tests': [ { 'test': 'test_1', 'steps': [ 'echo foo' ] }, { 'test': 'test_2', 'steps': [ 'echo bar' ] }, ] } testfile.execute_testfile(config, verbose=True) self.assertEqual(3, mock_execute.call_count) mock_execute.assert_has_calls([mock.call('echo foo'), mock.call('echo bar'), mock.call('foo')]) def test_single_test__teardown_called_for_each_test(self, mock_term, mock_result, mock_verbose, mock_execute): config = { 'fixture': { 'teardown': 'foo' }, 'tests': [ { 'test': 'test_1', 'steps': [ 'echo foo' ] }, { 'test': 'test_2', 'steps': [ 'echo bar' ] }, ] } testfile.execute_testfile(config, verbose=True) self.assertEqual(4, mock_execute.call_count) mock_execute.assert_has_calls([mock.call('echo foo'), mock.call('foo'), mock.call('echo bar'), mock.call('foo')]) def test_single_test__setup_called_for_each_test(self, mock_term, mock_result, mock_verbose, mock_execute): config = { 'fixture': { 'setup': 'foo' }, 'tests': [ { 'test': 'test_1', 'steps': [ 'echo foo' ] }, { 'test': 'test_2', 'steps': [ 'echo bar' ] }, ] } testfile.execute_testfile(config, verbose=True) self.assertEqual(4, mock_execute.call_count) mock_execute.assert_has_calls([mock.call('foo'), mock.call('echo foo'), mock.call('foo'), mock.call('echo bar')]) def test_single_test__optional_description(self, mock_term, mock_result, mock_verbose, mock_execute): config = { 'tests': [ { 'test': 'test_1', 'description': 'foobarbaz', 'steps': [ 'echo foo' ] }, ] } testfile.execute_testfile(config, verbose=True) mock_result.assert_has_calls([mock.call('test_1', mock.ANY, 0)]) def test_single_test__test_fails__print_error(self, mock_term, mock_result, mock_verbose, mock_execute): mock_execute.return_value = ('', '', 3) config = { 'tests': [ { 'test': 'test_1', 'steps': [ 'echo foo' ] }, ] } testfile.execute_testfile(config, verbose=True) mock_result.assert_has_calls([mock.call('test_1', 'echo foo', 3)]) def test_single_test__test_succeeds__print_pass(self, mock_term, mock_result, mock_verbose, mock_execute): config = { 'tests': [ { 'test': 'test_1', 'steps': [ 'echo foo' ] }, ] } testfile.execute_testfile(config, verbose=True) mock_result.assert_has_calls([mock.call('test_1', mock.ANY, 0)]) def test_single_test__multiple_tests_one_fails__print_correct_error(self, mock_term, mock_result, mock_verbose, mock_execute): mock_execute.side_effect=[('', '', 0), ('', '', 3)] config = { 'tests': [ { 'test': 'test_1', 'steps': [ 'echo foo' ] }, { 'test': 'test_2', 'steps': [ 'echo bar' ] }, ] } testfile.execute_testfile(config, verbose=True) mock_result.assert_has_calls([mock.call('test_1', mock.ANY, 0), mock.call('test_2', 'echo bar', 3)]) def test_single_test__test_multiple_steps__print_pass(self, mock_term, mock_result, mock_verbose, mock_execute): config = { 'tests': [ { 'test': 'test_1', 'steps': [ 'echo foo', 'echo bar', 'echo baz' ] }, ] } testfile.execute_testfile(config, verbose=True) mock_execute.assert_has_calls([mock.call('echo foo;echo bar;echo baz')]) def test_disabled_tests__correct_results_shown(self, mock_term, mock_result, mock_verbose, mock_execute): config = { 'tests': [ { 'disabled_test': 'test_1', 'steps': [ 'echo foo', ], }, { 'test': 'test_2', 'steps': [ 'echo bar', ] }, ] } testfile.execute_testfile(config, verbose=True) mock_result.assert_has_calls([mock.call('test_1', '', 0, ignored=True), mock.call('test_2', 'echo bar', 0)]) def test_disabled_tests__setup_and_teardown_not_executed(self, mock_term, mock_result, mock_verbose, mock_execute): config = { 'tests': [ { 'disabled_test': 'test_1', 'steps': [ 'echo foo', ], }, { 'test': 'test_2', 'steps': [ 'echo bar', ] }, ] } testfile.execute_testfile(config) mock_verbose.assert_has_calls([mock.call(False, '', '', 0)]) if __name__ == '__main__': unittest.main()

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130

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9,553

4.823815

0.09842

0.074811

0.048363

0.064484

0.85995

0.844584

0.812846

0.802771

0.781864

0

0.009365

0.441118

9,553

304

131

31.424342

0.73422

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0.503546

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false

0.010638

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0.074468

0.021277

0

null

0

1

0

null

0

6

7dc612365589dbc072e56db60676abde2f633481

333

py

Python

app/tests/main_test.py

glushko311/docker-flask-postgres

f080917acedaf05a35530b8862732bf1a4fd37e5

[ "MIT" ]

null

app/tests/main_test.py

glushko311/docker-flask-postgres

f080917acedaf05a35530b8862732bf1a4fd37e5

[ "MIT" ]

null

app/tests/main_test.py

glushko311/docker-flask-postgres

f080917acedaf05a35530b8862732bf1a4fd37e5

[ "MIT" ]

null

from unittest import TestCase class TestSuit1(TestCase): def test_one(self): return self.assertEqual(1, 1) def test_two(self): return self.assertEqual(2, 2) def test_three(self): return self.assertEqual(3, 3) def test_smoke(self): pass if __name__ == "__main__": TestSuit1()

19.588235

37

0.636637

43

333

4.651163

0.511628

0.14

0.21

0.375

0

0.03252

0.261261

333

17

38

19.588235

0.780488

0

0.023952

0

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0.333333

false

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0.25

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0

1

0

1

0

6

7de3f9a1ff40ee80210414f1b4ec421ac8b4c69f

39,779

py

Python

util/result.py

qihqi/FoodCaloriesPrediction

4fa4d6122416640eaa792a44df5ff5db9ddfd8f5

[ "BSD-2-Clause" ]

1

2017-12-14T12:02:31.000Z

util/result.py

qihqi/FoodCaloriesPrediction

4fa4d6122416640eaa792a44df5ff5db9ddfd8f5

[ "BSD-2-Clause" ]

null

util/result.py

qihqi/FoodCaloriesPrediction

4fa4d6122416640eaa792a44df5ff5db9ddfd8f5

[ "BSD-2-Clause" ]

1

2020-08-17T05:50:45.000Z

{(13, 108): {'restaurant': 'Wendys', 'food_name': 'Quarter Pound Single', 'calorie': '430', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Wendys', ' ', '\n', 'Food: ', 'Quarter Pound Single', ' ', '\n', 'Calories: ', '430', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (5, 44): {'restaurant': 'KFC', 'food_name': 'KFC Snacker Sandwich', 'calorie': '210', 'raw': ['\n\n', ' ', 'Restaurant: ', 'KFC', ' ', '\n', 'Food: ', 'KFC Snacker Sandwich', ' ', '\n', 'Calories: ', '210', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (8, 63): {'restaurant': 'Panera', 'food_name': 'Italian Combo Sandwich', 'calorie': '1070', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Panera', ' ', '\n', 'Food: ', 'Italian Combo Sandwich', ' ', '\n', 'Calories: ', '1070', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (11, 90): {'restaurant': 'Subway', 'food_name': 'Spicy Italian Sandwich', 'calorie': '480', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Subway', ' ', '\n', 'Food: ', 'Spicy Italian Sandwich', ' ', '\n', 'Calories: ', '480', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (1, 6): {'restaurant': 'Arbys', 'food_name': 'Drink', 'calorie': '150', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Arbys', ' ', '\n', 'Food: ', 'Drink', ' ', '\n', 'Calories: ', '150', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (1, 11): {'restaurant': 'Arbys', 'food_name': 'Turkey Bacon Club Toasted Sub', 'calorie': '619', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Arbys', ' ', '\n', 'Food: ', 'Turkey Bacon Club Toasted Sub', ' ', '\n', 'Calories: ', '619', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (7, 55): {'restaurant': 'McDonalds', 'food_name': 'Filet-O-Fish', 'calorie': '380', 'raw': ['\n\n', ' ', 'Restaurant: ', 'McDonalds', ' ', '\n', 'Food: ', 'Filet-O-Fish', ' ', '\n', 'Calories: ', '380', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (3, 24): {'restaurant': 'Dunkin Donuts', 'food_name': 'Chocolate Frosted Donut', 'calorie': '230', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Dunkin Donuts', ' ', '\n', 'Food: ', 'Chocolate Frosted Donut', ' ', '\n', 'Calories: ', '230', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (9, 77): {'restaurant': 'Pizza Hut', 'food_name': 'Pepperoni Pizza', 'calorie': '280', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Pizza Hut', ' ', '\n', 'Food: ', 'Pepperoni Pizza', ' ', '\n', 'Calories: ', '280', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (10, 80): {'restaurant': 'Quiznos', 'food_name': 'Prime Rib Cheesesteak Sandwich', 'calorie': '830', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Quiznos', ' ', '\n', 'Food: ', 'Prime Rib Cheesesteak Sandwich', ' ', '\n', 'Calories: ', '830', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (13, 111): {'restaurant': 'Wendys', 'food_name': 'Ultimate Chicken Grill', 'calorie': '320', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Wendys', ' ', '\n', 'Food: ', 'Ultimate Chicken Grill', ' ', '\n', 'Calories: ', '320', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (8, 60): {'restaurant': 'Panera', 'food_name': 'Asian Sesame Chicken Salad', 'calorie': '410', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Panera', ' ', '\n', 'Food: ', 'Asian Sesame Chicken Salad', ' ', '\n', 'Calories: ', '410', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (11, 89): {'restaurant': 'Subway', 'food_name': 'Meatball Marinara Sandwich', 'calorie': '560', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Subway', ' ', '\n', 'Food: ', 'Meatball Marinara Sandwich', ' ', '\n', 'Calories: ', '560', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (1, 1): {'restaurant': 'Arbys', 'food_name': 'Bacon Beef and Cheddar Sandwich', 'calorie': '521', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Arbys', ' ', '\n', 'Food: ', 'Bacon Beef and Cheddar Sandwich', ' ', '\n', 'Calories: ', '521', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (7, 58): {'restaurant': 'McDonalds', 'food_name': 'Quarter Pounder with Cheese', 'calorie': '740', 'raw': ['\n\n', ' ', 'Restaurant: ', 'McDonalds', ' ', '\n', 'Food: ', 'Quarter Pounder with Cheese', ' ', '\n', 'Calories: ', '740', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (3, 23): {'restaurant': 'Dunkin Donuts', 'food_name': 'Butternut Donut', 'calorie': '403', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Dunkin Donuts', ' ', '\n', 'Food: ', 'Butternut Donut', ' ', '\n', 'Calories: ', '403', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (9, 72): {'restaurant': 'Pizza Hut', 'food_name': 'Drink', 'calorie': '150', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Pizza Hut', ' ', '\n', 'Food: ', 'Drink', ' ', '\n', 'Calories: ', '150', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (13, 101): {'restaurant': 'Wendys', 'food_name': 'Baconator', 'calorie': '830', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Wendys', ' ', '\n', 'Food: ', 'Baconator', ' ', '\n', 'Calories: ', '830', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (10, 85): {'restaurant': 'Quiznos', 'food_name': 'Veggie', 'calorie': '590', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Quiznos', ' ', '\n', 'Food: ', 'Veggie', ' ', '\n', 'Calories: ', '590', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (2, 17): {'restaurant': 'Bruggers Bagels', 'food_name': 'Pumpernickel Bagel', 'calorie': '330', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Bruggers Bagels', ' ', '\n', 'Food: ', 'Pumpernickel Bagel', ' ', '\n', 'Calories: ', '330', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (12, 97): {'restaurant': 'Taco Bell', 'food_name': 'Chalupa', 'calorie': '350', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Taco Bell', ' ', '\n', 'Food: ', 'Chalupa', ' ', '\n', 'Calories: ', '350', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (8, 65): {'restaurant': 'Panera', 'food_name': 'Sierra turkey', 'calorie': '1000', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Panera', ' ', '\n', 'Food: ', 'Sierra turkey', ' ', '\n', 'Calories: ', '1000', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (7, 57): {'restaurant': 'McDonalds', 'food_name': 'Grilled Chicken Ranch BLT Sandwich', 'calorie': '580', 'raw': ['\n\n', ' ', 'Restaurant: ', 'McDonalds', ' ', '\n', 'Food: ', 'Grilled Chicken Ranch BLT Sandwich', ' ', '\n', 'Calories: ', '580', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (9, 75): {'restaurant': 'Pizza Hut', 'food_name': 'Mushroom Pizza', 'calorie': '250', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Pizza Hut', ' ', '\n', 'Food: ', 'Mushroom Pizza', ' ', '\n', 'Calories: ', '250', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (13, 104): {'restaurant': 'Wendys', 'food_name': 'Chilli Soup', 'calorie': '280', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Wendys', ' ', '\n', 'Food: ', 'Chilli Soup', ' ', '\n', 'Calories: ', '280', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (5, 40): {'restaurant': 'KFC', 'food_name': 'Drink', 'calorie': '180', 'raw': ['\n\n', ' ', 'Restaurant: ', 'KFC', ' ', '\n', 'Food: ', 'Drink', ' ', '\n', 'Calories: ', '180', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (5, 37): {'restaurant': 'KFC', 'food_name': 'Crispy Chicken Breasts', 'calorie': '460', 'raw': ['\n\n', ' ', 'Restaurant: ', 'KFC', ' ', '\n', 'Food: ', 'Crispy Chicken Breasts', ' ', '\n', 'Calories: ', '460', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (11, 94): {'restaurant': 'Subway', 'food_name': 'Turkey Breast Sandwich', 'calorie': '280', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Subway', ' ', '\n', 'Food: ', 'Turkey Breast Sandwich', ' ', '\n', 'Calories: ', '280', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (2, 18): {'restaurant': 'Bruggers Bagels', 'food_name': 'Sesame Bagel', 'calorie': '360', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Bruggers Bagels', ' ', '\n', 'Food: ', 'Sesame Bagel', ' ', '\n', 'Calories: ', '360', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (7, 51): {'restaurant': 'McDonalds', 'food_name': 'Big n Tasty', 'calorie': '510', 'raw': ['\n\n', ' ', 'Restaurant: ', 'McDonalds', ' ', '\n', 'Food: ', 'Big n Tasty', ' ', '\n', 'Calories: ', '510', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (3, 28): {'restaurant': 'Dunkin Donuts', 'food_name': 'Jelly Filled Donut', 'calorie': '270', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Dunkin Donuts', ' ', '\n', 'Food: ', 'Jelly Filled Donut', ' ', '\n', 'Calories: ', '270', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (2, 12): {'restaurant': 'Bruggers Bagels', 'food_name': 'Cinnamon Raisin Bagel', 'calorie': '320', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Bruggers Bagels', ' ', '\n', 'Food: ', 'Cinnamon Raisin Bagel', ' ', '\n', 'Calories: ', '320', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (9, 70): {'restaurant': 'Pizza Hut', 'food_name': 'Cheese Pizza', 'calorie': '270', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Pizza Hut', ' ', '\n', 'Food: ', 'Cheese Pizza', ' ', '\n', 'Calories: ', '270', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (13, 107): {'restaurant': 'Wendys', 'food_name': 'Mandarian Chicken Salad', 'calorie': '180', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Wendys', ' ', '\n', 'Food: ', 'Mandarian Chicken Salad', ' ', '\n', 'Calories: ', '180', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (5, 43): {'restaurant': 'KFC', 'food_name': 'Honey BBQ Wings', 'calorie': '80', 'raw': ['\n\n', ' ', 'Restaurant: ', 'KFC', ' ', '\n', 'Food: ', 'Honey BBQ Wings', ' ', '\n', 'Calories: ', '80', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (11, 93): {'restaurant': 'Subway', 'food_name': 'Tuna Sandwich', 'calorie': '530', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Subway', ' ', '\n', 'Food: ', 'Tuna Sandwich', ' ', '\n', 'Calories: ', '530', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (1, 5): {'restaurant': 'Arbys', 'food_name': 'Classic Italian Toasted Sub', 'calorie': '787', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Arbys', ' ', '\n', 'Food: ', 'Classic Italian Toasted Sub', ' ', '\n', 'Calories: ', '787', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (1, 10): {'restaurant': 'Arbys', 'food_name': 'Roast Turkey Ranch Sandwich', 'calorie': '818', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Arbys', ' ', '\n', 'Food: ', 'Roast Turkey Ranch Sandwich', ' ', '\n', 'Calories: ', '818', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (7, 54): {'restaurant': 'McDonalds', 'food_name': 'Drink', 'calorie': '150', 'raw': ['\n\n', ' ', 'Restaurant: ', 'McDonalds', ' ', '\n', 'Food: ', 'Drink', ' ', '\n', 'Calories: ', '150', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (3, 27): {'restaurant': 'Dunkin Donuts', 'food_name': 'Glazed Donut', 'calorie': '230', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Dunkin Donuts', ' ', '\n', 'Food: ', 'Glazed Donut', ' ', '\n', 'Calories: ', '230', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (9, 76): {'restaurant': 'Pizza Hut', 'food_name': 'Onion Pizza', 'calorie': '250', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Pizza Hut', ' ', '\n', 'Food: ', 'Onion Pizza', ' ', '\n', 'Calories: ', '250', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (10, 81): {'restaurant': 'Quiznos', 'food_name': 'Raspberry Chipotle Chicken Salad', 'calorie': '620', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Quiznos', ' ', '\n', 'Food: ', 'Raspberry Chipotle Chicken Salad', ' ', '\n', 'Calories: ', '620', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (13, 110): {'restaurant': 'Wendys', 'food_name': 'Spicy Chicken Sandwich', 'calorie': '230', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Wendys', ' ', '\n', 'Food: ', 'Spicy Chicken Sandwich', ' ', '\n', 'Calories: ', '230', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (3, 33): {'restaurant': 'Dunkin Donuts', 'food_name': 'Sugar Raised Donut', 'calorie': '210', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Dunkin Donuts', ' ', '\n', 'Food: ', 'Sugar Raised Donut', ' ', '\n', 'Calories: ', '210', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (11, 87): {'restaurant': 'Subway', 'food_name': 'Drink', 'calorie': '150', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Subway', ' ', '\n', 'Food: ', 'Drink', ' ', '\n', 'Calories: ', '150', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (8, 61): {'restaurant': 'Panera', 'food_name': 'Caesar Salad', 'calorie': '400', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Panera', ' ', '\n', 'Food: ', 'Caesar Salad', ' ', '\n', 'Calories: ', '400', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (11, 88): {'restaurant': 'Subway', 'food_name': 'Italian BMT Sandwich', 'calorie': '410', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Subway', ' ', '\n', 'Food: ', 'Italian BMT Sandwich', ' ', '\n', 'Calories: ', '410', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (6, 48): {'restaurant': 'Krispy Kreme Doughnuts', 'food_name': 'Granola Bar', 'calorie': '180', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Krispy Kreme Doughnuts', ' ', '\n', 'Food: ', 'Granola Bar', ' ', '\n', 'Calories: ', '180', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (7, 53): {'restaurant': 'McDonalds', 'food_name': 'Chicken Selects Breast Strips', 'calorie': '133', 'raw': ['\n\n', ' ', 'Restaurant: ', 'McDonalds', ' ', '\n', 'Food: ', 'Chicken Selects Breast Strips', ' ', '\n', 'Calories: ', '133', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (3, 22): {'restaurant': 'Dunkin Donuts', 'food_name': 'Boston Kreme Donut', 'calorie': '270', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Dunkin Donuts', ' ', '\n', 'Food: ', 'Boston Kreme Donut', ' ', '\n', 'Calories: ', '270', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (10, 82): {'restaurant': 'Quiznos', 'food_name': 'Roasted Turkey and Cheddar Sandwich', 'calorie': '510', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Quiznos', ' ', '\n', 'Food: ', 'Roasted Turkey and Cheddar Sandwich', ' ', '\n', 'Calories: ', '510', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (6, 46): {'restaurant': 'Krispy Kreme Doughnuts', 'food_name': 'Chocolate Iced Kreme Filled Doughnut', 'calorie': '350', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Krispy Kreme Doughnuts', ' ', '\n', 'Food: ', 'Chocolate Iced Kreme Filled Doughnut', ' ', '\n', 'Calories: ', '350', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (12, 98): {'restaurant': 'Taco Bell', 'food_name': 'Drink', 'calorie': '150', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Taco Bell', ' ', '\n', 'Food: ', 'Drink', ' ', '\n', 'Calories: ', '150', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (1, 3): {'restaurant': 'Arbys', 'food_name': 'Chicken Club Salad', 'calorie': '425', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Arbys', ' ', '\n', 'Food: ', 'Chicken Club Salad', ' ', '\n', 'Calories: ', '425', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (8, 66): {'restaurant': 'Panera', 'food_name': 'Smoked Turkey Breast Sandwich', 'calorie': '620', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Panera', ' ', '\n', 'Food: ', 'Smoked Turkey Breast Sandwich', ' ', '\n', 'Calories: ', '620', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (7, 56): {'restaurant': 'McDonalds', 'food_name': 'Grilled Chicken Club Sandwich', 'calorie': '590', 'raw': ['\n\n', ' ', 'Restaurant: ', 'McDonalds', ' ', '\n', 'Food: ', 'Grilled Chicken Club Sandwich', ' ', '\n', 'Calories: ', '590', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (3, 21): {'restaurant': 'Dunkin Donuts', 'food_name': 'Bavarian Kreme Donut', 'calorie': '250', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Dunkin Donuts', ' ', '\n', 'Food: ', 'Bavarian Kreme Donut', ' ', '\n', 'Calories: ', '250', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (9, 74): {'restaurant': 'Pizza Hut', 'food_name': 'Ham Meat Pizza', 'calorie': '370', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Pizza Hut', ' ', '\n', 'Food: ', 'Ham Meat Pizza', ' ', '\n', 'Calories: ', '370', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (13, 103): {'restaurant': 'Wendys', 'food_name': 'Chicken Nuggets', 'calorie': '190', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Wendys', ' ', '\n', 'Food: ', 'Chicken Nuggets', ' ', '\n', 'Calories: ', '190', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (5, 36): {'restaurant': 'KFC', 'food_name': 'Chicken Pot Pie', 'calorie': '690', 'raw': ['\n\n', ' ', 'Restaurant: ', 'KFC', ' ', '\n', 'Food: ', 'Chicken Pot Pie', ' ', '\n', 'Calories: ', '690', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (2, 19): {'restaurant': 'Bruggers Bagels', 'food_name': 'Sesame Square Bagel', 'calorie': '360', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Bruggers Bagels', ' ', '\n', 'Food: ', 'Sesame Square Bagel', ' ', '\n', 'Calories: ', '360', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (7, 50): {'restaurant': 'McDonalds', 'food_name': 'Big Mac', 'calorie': '540', 'raw': ['\n\n', ' ', 'Restaurant: ', 'McDonalds', ' ', '\n', 'Food: ', 'Big Mac', ' ', '\n', 'Calories: ', '540', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (3, 31): {'restaurant': 'Dunkin Donuts', 'food_name': 'Special Frosted Donut', 'calorie': 'N/A', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Dunkin Donuts', ' ', '\n', 'Food: ', 'Special Frosted Donut', ' ', '\n', 'Calories: ', 'N/A', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (2, 13): {'restaurant': 'Bruggers Bagels', 'food_name': 'Drink', 'calorie': '150', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Bruggers Bagels', ' ', '\n', 'Food: ', 'Drink', ' ', '\n', 'Calories: ', '150', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (10, 78): {'restaurant': 'Quiznos', 'food_name': 'Drink', 'calorie': '150', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Quiznos', ' ', '\n', 'Food: ', 'Drink', ' ', '\n', 'Calories: ', '150', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (9, 69): {'restaurant': 'Pizza Hut', 'food_name': 'Buffalo Chicken Tomato Pizza', 'calorie': '310', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Pizza Hut', ' ', '\n', 'Food: ', 'Buffalo Chicken Tomato Pizza', ' ', '\n', 'Calories: ', '310', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (13, 106): {'restaurant': 'Wendys', 'food_name': 'Half Pound Double', 'calorie': '700', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Wendys', ' ', '\n', 'Food: ', 'Half Pound Double', ' ', '\n', 'Calories: ', '700', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (5, 42): {'restaurant': 'KFC', 'food_name': 'Honey BBQ Chicken Sandwich', 'calorie': '300', 'raw': ['\n\n', ' ', 'Restaurant: ', 'KFC', ' ', '\n', 'Food: ', 'Honey BBQ Chicken Sandwich', ' ', '\n', 'Calories: ', '300', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (5, 39): {'restaurant': 'KFC', 'food_name': 'Crispy Whole Chicken Wing', 'calorie': '160', 'raw': ['\n\n', ' ', 'Restaurant: ', 'KFC', ' ', '\n', 'Food: ', 'Crispy Whole Chicken Wing', ' ', '\n', 'Calories: ', '160', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (11, 92): {'restaurant': 'Subway', 'food_name': 'Subway Melt Salad', 'calorie': '380', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Subway', ' ', '\n', 'Food: ', 'Subway Melt Salad', ' ', '\n', 'Calories: ', '380', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (2, 20): {'restaurant': 'Bruggers Bagels', 'food_name': 'Whole Wheat Square Bagel', 'calorie': '390', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Bruggers Bagels', ' ', '\n', 'Food: ', 'Whole Wheat Square Bagel', ' ', '\n', 'Calories: ', '390', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (1, 4): {'restaurant': 'Arbys', 'food_name': 'Chicken Fillet Sandwich', 'calorie': '510', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Arbys', ' ', '\n', 'Food: ', 'Chicken Fillet Sandwich', ' ', '\n', 'Calories: ', '510', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (12, 100): {'restaurant': 'Taco Bell', 'food_name': 'Taco', 'calorie': '260', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Taco Bell', ' ', '\n', 'Food: ', 'Taco', ' ', '\n', 'Calories: ', '260', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (1, 9): {'restaurant': 'Arbys', 'food_name': 'Roast Turkey and Swiss Sandwich', 'calorie': '708', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Arbys', ' ', '\n', 'Food: ', 'Roast Turkey and Swiss Sandwich', ' ', '\n', 'Calories: ', '708', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (3, 26): {'restaurant': 'Dunkin Donuts', 'food_name': 'Double Chocolate Cake Donut', 'calorie': '340', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Dunkin Donuts', ' ', '\n', 'Food: ', 'Double Chocolate Cake Donut', ' ', '\n', 'Calories: ', '340', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (2, 14): {'restaurant': 'Bruggers Bagels', 'food_name': 'Jalapeno Cheese Bagel', 'calorie': '430', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Bruggers Bagels', ' ', '\n', 'Food: ', 'Jalapeno Cheese Bagel', ' ', '\n', 'Calories: ', '430', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (13, 109): {'restaurant': 'Wendys', 'food_name': 'South West Taco Salad', 'calorie': '400', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Wendys', ' ', '\n', 'Food: ', 'South West Taco Salad', ' ', '\n', 'Calories: ', '400', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (3, 32): {'restaurant': 'Dunkin Donuts', 'food_name': 'Special Pittsburgh Kreme Donut', 'calorie': 'N/A', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Dunkin Donuts', ' ', '\n', 'Food: ', 'Special Pittsburgh Kreme Donut', ' ', '\n', 'Calories: ', 'N/A', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (5, 45): {'restaurant': 'KFC', 'food_name': 'Sweet Kernel Corn', 'calorie': '110', 'raw': ['\n\n', ' ', 'Restaurant: ', 'KFC', ' ', '\n', 'Food: ', 'Sweet Kernel Corn', ' ', '\n', 'Calories: ', '110', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (11, 86): {'restaurant': 'Subway', 'food_name': 'Chicken and Bacon Ranch Wrap', 'calorie': '580', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Subway', ' ', '\n', 'Food: ', 'Chicken and Bacon Ranch Wrap', ' ', '\n', 'Calories: ', '580', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (8, 62): {'restaurant': 'Panera', 'food_name': 'Drink', 'calorie': '150', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Panera', ' ', '\n', 'Food: ', 'Drink', ' ', '\n', 'Calories: ', '150', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (11, 91): {'restaurant': 'Subway', 'food_name': 'Steak and Cheese Salad', 'calorie': '600', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Subway', ' ', '\n', 'Food: ', 'Steak and Cheese Salad', ' ', '\n', 'Calories: ', '600', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (1, 7): {'restaurant': 'Arbys', 'food_name': 'Philly Beef Toasted Sub', 'calorie': '739', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Arbys', ' ', '\n', 'Food: ', 'Philly Beef Toasted Sub', ' ', '\n', 'Calories: ', '739', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (6, 49): {'restaurant': 'Krispy Kreme Doughnuts', 'food_name': 'Twinkie', 'calorie': '150', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Krispy Kreme Doughnuts', ' ', '\n', 'Food: ', 'Twinkie', ' ', '\n', 'Calories: ', '150', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (7, 52): {'restaurant': 'McDonalds', 'food_name': 'Chicken McNuggets', 'calorie': '170', 'raw': ['\n\n', ' ', 'Restaurant: ', 'McDonalds', ' ', '\n', 'Food: ', 'Chicken McNuggets', ' ', '\n', 'Calories: ', '170', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (3, 25): {'restaurant': 'Dunkin Donuts', 'food_name': 'Cinnamon Cake Donut', 'calorie': '310', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Dunkin Donuts', ' ', '\n', 'Food: ', 'Cinnamon Cake Donut', ' ', '\n', 'Calories: ', '310', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (9, 67): {'restaurant': 'Pizza Hut', 'food_name': 'Black Olives Pizza', 'calorie': '250', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Pizza Hut', ' ', '\n', 'Food: ', 'Black Olives Pizza', ' ', '\n', 'Calories: ', '250', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (10, 83): {'restaurant': 'Quiznos', 'food_name': 'Sonoma Turkey Sammie', 'calorie': '300', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Quiznos', ' ', '\n', 'Food: ', 'Sonoma Turkey Sammie', ' ', '\n', 'Calories: ', '300', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (6, 47): {'restaurant': 'Krispy Kreme Doughnuts', 'food_name': 'Glazed Chocolate Cake Doughnut', 'calorie': '300', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Krispy Kreme Doughnuts', ' ', '\n', 'Food: ', 'Glazed Chocolate Cake Doughnut', ' ', '\n', 'Calories: ', '300', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (12, 99): {'restaurant': 'Taco Bell', 'food_name': 'Gordita', 'calorie': '280', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Taco Bell', ' ', '\n', 'Food: ', 'Gordita', ' ', '\n', 'Calories: ', '280', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (1, 2): {'restaurant': 'Arbys', 'food_name': 'Beef and Cheddar Sandwich', 'calorie': '445', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Arbys', ' ', '\n', 'Food: ', 'Beef and Cheddar Sandwich', ' ', '\n', 'Calories: ', '445', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (7, 59): {'restaurant': 'McDonalds', 'food_name': 'Southern Style Crispy Chicken Sandwich', 'calorie': '400', 'raw': ['\n\n', ' ', 'Restaurant: ', 'McDonalds', ' ', '\n', 'Food: ', 'Southern Style Crispy Chicken Sandwich', ' ', '\n', 'Calories: ', '400', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (9, 73): {'restaurant': 'Pizza Hut', 'food_name': 'Green Pepper Onion Meat Pizza', 'calorie': '310', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Pizza Hut', ' ', '\n', 'Food: ', 'Green Pepper Onion Meat Pizza', ' ', '\n', 'Calories: ', '310', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (13, 102): {'restaurant': 'Wendys', 'food_name': 'Chicken Club', 'calorie': '540', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Wendys', ' ', '\n', 'Food: ', 'Chicken Club', ' ', '\n', 'Calories: ', '540', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (10, 84): {'restaurant': 'Quiznos', 'food_name': 'Turkey Ranch and Swiss Sandwich', 'calorie': '510', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Quiznos', ' ', '\n', 'Food: ', 'Turkey Ranch and Swiss Sandwich', ' ', '\n', 'Calories: ', '510', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (4, 34): {'restaurant': 'Giant Eagle', 'food_name': 'Chocolate Chip Classic Muffin', 'calorie': '270', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Giant Eagle', ' ', '\n', 'Food: ', 'Chocolate Chip Classic Muffin', ' ', '\n', 'Calories: ', '270', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (5, 35): {'restaurant': 'KFC', 'food_name': 'Apple Pie Minis', 'calorie': '130', 'raw': ['\n\n', ' ', 'Restaurant: ', 'KFC', ' ', '\n', 'Food: ', 'Apple Pie Minis', ' ', '\n', 'Calories: ', '130', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (2, 16): {'restaurant': 'Bruggers Bagels', 'food_name': 'Poppy Seed Bagel', 'calorie': '320', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Bruggers Bagels', ' ', '\n', 'Food: ', 'Poppy Seed Bagel', ' ', '\n', 'Calories: ', '320', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (12, 96): {'restaurant': 'Taco Bell', 'food_name': 'Burrito', 'calorie': '350', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Taco Bell', ' ', '\n', 'Food: ', 'Burrito', ' ', '\n', 'Calories: ', '350', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (8, 64): {'restaurant': 'Panera', 'food_name': 'Mediterranean Veggie Sandwich', 'calorie': '610', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Panera', ' ', '\n', 'Food: ', 'Mediterranean Veggie Sandwich', ' ', '\n', 'Calories: ', '610', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (3, 30): {'restaurant': 'Dunkin Donuts', 'food_name': 'Old Fashioned Cake Donut', 'calorie': '280', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Dunkin Donuts', ' ', '\n', 'Food: ', 'Old Fashioned Cake Donut', ' ', '\n', 'Calories: ', '280', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (10, 79): {'restaurant': 'Quiznos', 'food_name': 'Honey Bourbon Chicken Sandwich', 'calorie': '480', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Quiznos', ' ', '\n', 'Food: ', 'Honey Bourbon Chicken Sandwich', ' ', '\n', 'Calories: ', '480', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (9, 68): {'restaurant': 'Pizza Hut', 'food_name': 'Bread Stick', 'calorie': '160', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Pizza Hut', ' ', '\n', 'Food: ', 'Bread Stick', ' ', '\n', 'Calories: ', '160', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (13, 105): {'restaurant': 'Wendys', 'food_name': 'Drink', 'calorie': '150', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Wendys', ' ', '\n', 'Food: ', 'Drink', ' ', '\n', 'Calories: ', '150', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (5, 41): {'restaurant': 'KFC', 'food_name': 'Home-Style Biscuits', 'calorie': '180', 'raw': ['\n\n', ' ', 'Restaurant: ', 'KFC', ' ', '\n', 'Food: ', 'Home-Style Biscuits', ' ', '\n', 'Calories: ', '180', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (5, 38): {'restaurant': 'KFC', 'food_name': 'Crispy Chicken Thighs', 'calorie': '360', 'raw': ['\n\n', ' ', 'Restaurant: ', 'KFC', ' ', '\n', 'Food: ', 'Crispy Chicken Thighs', ' ', '\n', 'Calories: ', '360', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (11, 95): {'restaurant': 'Subway', 'food_name': 'Veggie Delite Sandwich', 'calorie': '230', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Subway', ' ', '\n', 'Food: ', 'Veggie Delite Sandwich', ' ', '\n', 'Calories: ', '230', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (1, 8): {'restaurant': 'Arbys', 'food_name': 'Reuben Turkey Sandwich', 'calorie': '594', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Arbys', ' ', '\n', 'Food: ', 'Reuben Turkey Sandwich', ' ', '\n', 'Calories: ', '594', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (3, 29): {'restaurant': 'Dunkin Donuts', 'food_name': 'Marble Frosted Donut', 'calorie': '240', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Dunkin Donuts', ' ', '\n', 'Food: ', 'Marble Frosted Donut', ' ', '\n', 'Calories: ', '240', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (2, 15): {'restaurant': 'Bruggers Bagels', 'food_name': 'Plain Bagel', 'calorie': '320', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Bruggers Bagels', ' ', '\n', 'Food: ', 'Plain Bagel', ' ', '\n', 'Calories: ', '320', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}, (9, 71): {'restaurant': 'Pizza Hut', 'food_name': 'Desert Cherry Nut Pizza', 'calorie': 'N/A', 'raw': ['\n\n', ' ', 'Restaurant: ', 'Pizza Hut', ' ', '\n', 'Food: ', 'Desert Cherry Nut Pizza', ' ', '\n', 'Calories: ', 'N/A', ' ', ' ', '\n', '<a href="./index.php">Search again</a>', '\n', ' ', ' ', 'Inst 1']}}

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7dec2bb361d9fc498b207a41189a8cceaeaa5bc6

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py

Python

groot/__init__.py

coolbromcdude/groot

68d47ac7341e05a5530c7f8a0682cfbf8b3cb5fe

[ "MIT" ]

null

groot/__init__.py

coolbromcdude/groot

68d47ac7341e05a5530c7f8a0682cfbf8b3cb5fe

[ "MIT" ]

null

groot/__init__.py

coolbromcdude/groot

68d47ac7341e05a5530c7f8a0682cfbf8b3cb5fe

[ "MIT" ]

null

from .groot import Groot, HelperFunctions

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1

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6

7def31bc00a6806fbdc6b02d3206dcbe66a12c80

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py

Python

tasks/cv_tasks/__init__.py

zhaoguangxiang/OFA

cc1719df2713f0a046f34acb0afd8782e08ea6be

[ "Apache-2.0" ]

367

2022-02-07T10:46:36.000Z

2022-03-31T14:20:57.000Z

tasks/cv_tasks/__init__.py

zhaoguangxiang/OFA

cc1719df2713f0a046f34acb0afd8782e08ea6be

[ "Apache-2.0" ]

29

2022-02-16T03:43:33.000Z

2022-03-31T03:23:35.000Z

tasks/cv_tasks/__init__.py

zhaoguangxiang/OFA

cc1719df2713f0a046f34acb0afd8782e08ea6be

[ "Apache-2.0" ]

44

2022-02-11T05:14:59.000Z

2022-03-30T19:54:33.000Z

from .image_classify import ImageClassifyTask

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6

816eade17175697fbb1940eef99d1c92eb16ef25

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py

Python

yolact/__init__.py

plarr2020-team1/yolact

0256dfc48b63e9cde7fdfb0b340ae4213f2b5a5b

[ "MIT" ]

null

yolact/__init__.py

plarr2020-team1/yolact

0256dfc48b63e9cde7fdfb0b340ae4213f2b5a5b

[ "MIT" ]

null

yolact/__init__.py

plarr2020-team1/yolact

0256dfc48b63e9cde7fdfb0b340ae4213f2b5a5b

[ "MIT" ]

null

from yolact.yolact import Yolact

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818d7d635823dadcdff23f136553a1fec4689913

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py

Python

kalliope/players/sounddeviceplayer/__init__.py

joshuaboniface/kalliope

0e040be3165e838485d1e5addc4d2c5df12bfd84

[ "MIT" ]

1

2020-03-30T15:03:19.000Z

kalliope/players/sounddeviceplayer/__init__.py

joshuaboniface/kalliope

0e040be3165e838485d1e5addc4d2c5df12bfd84

[ "MIT" ]

null

kalliope/players/sounddeviceplayer/__init__.py

joshuaboniface/kalliope

0e040be3165e838485d1e5addc4d2c5df12bfd84

[ "MIT" ]

1

2021-11-21T19:08:15.000Z

from .sounddeviceplayer import Sounddeviceplayer

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81a9d7a6281fe0dd958d3b94f479064c5cbb8262

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py

Python

pyleecan/Methods/Slot/SlotWLSRPM/__init__.py

tobsen2code/pyleecan

5b1ded9e389e0c79ed7b7c878b6e939f2d9962e9

[ "Apache-2.0" ]

95

2019-01-23T04:19:45.000Z

2022-03-17T18:22:10.000Z

pyleecan/Methods/Slot/SlotWLSRPM/__init__.py

ecs-kev/pyleecan

1faedde4b24acc6361fa1fdd4e980eaec4ca3a62

[ "Apache-2.0" ]

366

2019-02-20T07:15:08.000Z

2022-03-31T13:37:23.000Z

pyleecan/Methods/Slot/SlotWLSRPM/__init__.py

ecs-kev/pyleecan

1faedde4b24acc6361fa1fdd4e980eaec4ca3a62

[ "Apache-2.0" ]

74

2019-01-24T01:47:31.000Z

2022-02-25T05:44:42.000Z

from ....Methods.Slot.Slot import SlotCheckError class SLSRPMOutterError(SlotCheckError): """ """ pass

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81aa2a5a75193ed95355dcd623c94a317bcc959e

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py

Python

topside/visualization/optimization/cost_terms.py

roguextech/Waterloo-Rocketry-topside

345e7d47efdac04c2c5f70d55f83bd77acdbb511

[ "MIT" ]

4

2020-04-18T00:40:55.000Z

2021-06-10T04:04:09.000Z

topside/visualization/optimization/cost_terms.py

roguextech/Waterloo-Rocketry-topside

345e7d47efdac04c2c5f70d55f83bd77acdbb511

[ "MIT" ]

82

2020-04-15T21:26:04.000Z

2022-02-04T04:50:07.000Z

topside/visualization/optimization/cost_terms.py

roguextech/Waterloo-Rocketry-topside

345e7d47efdac04c2c5f70d55f83bd77acdbb511

[ "MIT" ]

8

2020-04-21T17:54:36.000Z

2022-02-28T16:14:21.000Z

import numpy as np class NeighboringDistance(): """ Encourages a nominal distance between neighboring nodes. For two nodes [x1, y1] and [x2, y2] with nominal separation D, the neighboring distance cost C is defined as: C = W * (D - sqrt((x2 - x1)^2 + (y2 - y1)^2))^2 where W is a constant used to scale the relative "importance" of this cost term. """ def __init__(self, g, node_indices, node_component_neighbors, settings, internal): """ Initialize the cost term. Parameters ---------- g: graph The graph for which this cost term will be evaluated. Typically, this is a NetworkX graph, but it can be any type with a .neighbors(n) method returning the neighbors of node n. Calling this directly with a PlumbingEngine graph may lead to unexpected results; it is best to use a terminal graph instead (topside.terminal_graph). node_indices: dict Dict where node_indices[n] is the index i of node n in the cost vector. node_component_neighbors: dict Dict where, for a given node n, node_component_neighbors[n] is a list of all nodes in g that are both neighbors of n and in the same component as n. settings: OptimizerSettings This can be any type that provides the same attributes as topside.visualization.optimization.OptimizerSettings. internal: bool if True, this cost term penalizes only deviation from nominal distance within a component. If False, this cost term instead penalizes deviation from nominal distance between two nodes that are not part of the same component. """ self.num_nodes = len(node_indices) self.mask = np.ones((self.num_nodes, self.num_nodes)) for node in g: i = node_indices[node] for neighbor in g.neighbors(node): j = node_indices[neighbor] if internal is (neighbor in node_component_neighbors[node]): self.mask[i, j] = 0 self.mask[j, i] = 0 if internal: self.nominal_dist = settings.nominal_dist_internal self.weight = settings.internal_weight else: self.nominal_dist = settings.nominal_dist_neighbors self.weight = settings.neighbors_weight def evaluate(self, costargs): """ Evaluate the cost term and return a tuple of (cost, gradient). Arguments: costargs: dict Expected to contain: - 'deltas': N x N x 2 numpy array, where: deltas[i, j, :] == [xj - xi, yj - yi] - 'norms': N x N numpy array, where: norms[i, j] == sqrt[(xj - xi)^2 + (yj - yi)^2] """ cost = 0 grad = np.zeros(self.num_nodes * 2) norms = np.ma.masked_array(costargs['norms'], mask=self.mask) cost_matrix = self.weight * (self.nominal_dist - norms) ** 2 cost += np.sum(cost_matrix.filled(0)) grad_common = self.weight * (norms - self.nominal_dist) * (4 / norms) grad_matrix = costargs['deltas'] * grad_common[:, :, None] grad += np.reshape(np.sum(grad_matrix.filled(0), axis=1), grad.shape) return (cost, grad) class NonNeighboringDistance: """ Encourages a minimum distance between non-neighboring nodes. For two nodes [x1, y1] and [x2, y2] with minimum separation D, the non-neighboring distance cost C can be calculated with the following pseudocode algorithm: d = sqrt((x2 - x1)^2 + (y2 - y1)^2) if d < D: C = W * (D - d)^2 else: C = 0 where W is a constant used to scale the relative "importance" of this cost term. """ def __init__(self, g, node_indices, node_component_neighbors, settings): """ Initialize the cost term. Parameters ---------- g: graph The graph for which this cost term will be evaluated. Typically, this is a NetworkX graph, but it can be any type with a .neighbors(n) method returning the neighbors of node n. Calling this directly with a PlumbingEngine graph may lead to unexpected results; it is best to use a terminal graph instead (topside.terminal_graph). node_indices: dict Dict where node_indices[n] is the index i of node n in the cost vector. node_component_neighbors: dict Dict where, for a given node n, node_component_neighbors[n] is a list of all nodes in g that are both neighbors of n and in the same component as n. settings: OptimizerSettings This can be any type that provides the same attributes as topside.visualization.optimization.OptimizerSettings. """ self.num_nodes = len(node_indices) self.mask = np.identity(self.num_nodes) for node in g: i = node_indices[node] for neighbor in g.neighbors(node): j = node_indices[neighbor] self.mask[i, j] = 1 self.mask[j, i] = 1 self.weight = settings.others_weight self.minimum_dist = settings.minimum_dist_others def evaluate(self, costargs): """ Evaluate the cost term and return a tuple of (cost, gradient). Arguments: costargs: dict Expected to contain: - 'deltas': N x N x 2 numpy array, where: deltas[i, j, :] == [xj - xi, yj - yi] - 'norms': N x N numpy array, where: norms[i, j] == sqrt[(xj - xi)^2 + (yj - yi)^2] """ cost = 0 grad = np.zeros(self.num_nodes * 2) nodes_to_ignore = (costargs['norms'] >= self.minimum_dist) mask = np.logical_or(self.mask, nodes_to_ignore) masked_norms = np.ma.masked_array(costargs['norms'], mask=mask) cost_matrix = self.weight * (self.minimum_dist - masked_norms) ** 2 cost += np.sum(cost_matrix.filled(0)) grad_common_term = self.weight * (masked_norms - self.minimum_dist) * (4 / masked_norms) grad_matrix = costargs['deltas'] * grad_common_term[:, :, None] grad += np.reshape(np.sum(grad_matrix.filled(0), axis=1), grad.shape) return (cost, grad) class CentroidDeviation: """ Encourages a node to remain close to the centroid of its neighbors. The centroid deviation cost term C can be calculated with the following pseudocode algorithm: if num_neighbors(n) < 2: C = 0 else: v = centroid(neighbors(n)) C = W * ((vx - nx)^2 + (vy - ny)^2) where W is a constant used to scale the relative "importance" of this cost term. """ def __init__(self, g, node_indices, node_component_neighbors, settings): """ Initialize the cost term. Parameters ---------- g: graph The graph for which this cost term will be evaluated. Typically, this is a NetworkX graph, but it can be any type with a .neighbors(n) method returning the neighbors of node n. Calling this directly with a PlumbingEngine graph may lead to unexpected results; it is best to use a terminal graph instead (topside.terminal_graph). node_indices: dict Dict where node_indices[n] is the index i of node n in the cost vector. node_component_neighbors: dict Dict where, for a given node n, node_component_neighbors[n] is a list of all nodes in g that are both neighbors of n and in the same component as n. settings: OptimizerSettings This can be any type that provides the same attributes as topside.visualization.optimization.OptimizerSettings. """ self.num_nodes = len(node_indices) self.cost_mask = np.ones((self.num_nodes, self.num_nodes, 2)) self.grad_mask = np.ones((self.num_nodes, self.num_nodes, 2)) self.num_neighbors = np.ones((self.num_nodes, 1)) for node in g: i = node_indices[node] neighbors = list(g.neighbors(node)) if len(neighbors) > 1: self.grad_mask[i, i] = 0 self.num_neighbors[i] = len(neighbors) for neighbor in neighbors: j = node_indices[neighbor] self.cost_mask[i, j] = 0 self.grad_mask[j, i] = 0 self.weight = settings.centroid_deviation_weight grad_coeffs_diag = self.weight * 2 * np.identity(self.num_nodes) grad_coeffs_off_diag = self.weight * -2 * \ np.ones((self.num_nodes, self.num_nodes, 2)) / self.num_neighbors np.fill_diagonal(grad_coeffs_off_diag[:, :, 0], 0) np.fill_diagonal(grad_coeffs_off_diag[:, :, 1], 0) self.grad_coeffs = grad_coeffs_off_diag + grad_coeffs_diag[:, :, None] def evaluate(self, costargs): """ Evaluate the cost term and return a tuple of (cost, gradient). Arguments: costargs: dict Expected to contain: - 'deltas': N x N x 2 numpy array, where: deltas[i, j, :] == [xj - xi, yj - yi] - 'norms': N x N numpy array, where: norms[i, j] == sqrt[(xj - xi)^2 + (yj - yi)^2] """ cost = 0 grad = np.zeros(self.num_nodes * 2) masked_deltas = np.ma.masked_array(costargs['deltas'], mask=self.cost_mask) centroid_deviations = np.sum(masked_deltas, axis=1) / self.num_neighbors cost_matrix = self.weight * centroid_deviations ** 2 cost += np.sum(cost_matrix.filled(0)) reshaped = np.reshape(centroid_deviations, (1, self.num_nodes, 2)) repeated = np.repeat(reshaped, self.num_nodes, axis=0) grad_deviations = np.ma.masked_array(repeated, mask=self.grad_mask) grad_matrix = self.grad_coeffs * grad_deviations grad += np.reshape(np.sum(grad_matrix.filled(0), axis=1), grad.shape) return (cost, grad) class RightAngleDeviation: """ Encourages a component to be oriented horizontally or vertically. The right angle deviation cost term C is defined as follows: C = W * (x2 - x1)^2 * (y2 - y1)^2 where W is a constant used to scale the relative "importance" of this cost term. """ def __init__(self, g, node_indices, node_component_neighbors, settings): """ Initialize the cost term. Parameters ---------- g: graph The graph for which this cost term will be evaluated. Typically, this is a NetworkX graph, but it can be any type with a .neighbors(n) method returning the neighbors of node n. Calling this directly with a PlumbingEngine graph may lead to unexpected results; it is best to use a terminal graph instead (topside.terminal_graph). node_indices: dict Dict where node_indices[n] is the index i of node n in the cost vector. node_component_neighbors: dict Dict where, for a given node n, node_component_neighbors[n] is a list of all nodes in g that are both neighbors of n and in the same component as n. settings: OptimizerSettings This can be any type that provides the same attributes as topside.visualization.optimization.OptimizerSettings. """ self.num_nodes = len(node_indices) self.mask = np.ones((self.num_nodes, self.num_nodes, 2)) for node in g: i = node_indices[node] for neighbor in node_component_neighbors[node]: j = node_indices[neighbor] self.mask[i, j] = 0 self.mask[j, i] = 0 self.weight = settings.right_angle_weight def evaluate(self, costargs): """ Evaluate the cost term and return a tuple of (cost, gradient). Arguments: costargs: dict Expected to contain: - 'deltas': N x N x 2 numpy array, where: deltas[i, j, :] == [xj - xi, yj - yi] - 'norms': N x N numpy array, where: norms[i, j] == sqrt[(xj - xi)^2 + (yj - yi)^2] """ cost = 0 grad = np.zeros(self.num_nodes * 2) internal_deltas = np.ma.masked_array(costargs['deltas'], mask=self.mask) dxdy = np.product(internal_deltas, axis=2) cost_matrix = self.weight * dxdy ** 2 cost += np.sum(cost_matrix.filled(0)) grad_common = self.weight * 4 * dxdy[:, :, None] grad_matrix = grad_common * np.flip(internal_deltas, axis=2) grad += np.reshape(np.sum(grad_matrix.filled(0), axis=1), grad.shape) return (cost, grad) class HorizontalDeviation: """ Encourages a component to be oriented horizontally. The right angle deviation cost term C is defined as follows: C = W * (y2 - y1)^2 where W is a constant used to scale the relative "importance" of this cost term. """ def __init__(self, g, node_indices, node_component_neighbors, settings): """ Initialize the cost term. Parameters ---------- g: graph The graph for which this cost term will be evaluated. Typically, this is a NetworkX graph, but it can be any type with a .neighbors(n) method returning the neighbors of node n. Calling this directly with a PlumbingEngine graph may lead to unexpected results; it is best to use a terminal graph instead (topside.terminal_graph). node_indices: dict Dict where node_indices[n] is the index i of node n in the cost vector. node_component_neighbors: dict Dict where, for a given node n, node_component_neighbors[n] is a list of all nodes in g that are both neighbors of n and in the same component as n. settings: OptimizerSettings This can be any type that provides the same attributes as topside.visualization.optimization.OptimizerSettings. """ self.num_nodes = len(node_indices) self.mask = np.ones((self.num_nodes, self.num_nodes)) for node in g: i = node_indices[node] for neighbor in node_component_neighbors[node]: j = node_indices[neighbor] self.mask[i, j] = 0 self.mask[j, i] = 0 self.weight = settings.horizontal_weight def evaluate(self, costargs): """ Evaluate the cost term and return a tuple of (cost, gradient). Arguments: costargs: dict Expected to contain: - 'deltas': N x N x 2 numpy array, where: deltas[i, j, :] == [xj - xi, yj - yi] - 'norms': N x N numpy array, where: norms[i, j] == sqrt[(xj - xi)^2 + (yj - yi)^2] """ cost = 0 grad = np.zeros(self.num_nodes * 2) delta_y = costargs['deltas'][:, :, 1] internal_delta_y = np.ma.masked_array(delta_y, mask=self.mask) cost_matrix = self.weight * internal_delta_y ** 2 cost += np.sum(cost_matrix.filled(0)) grad_matrix = np.ma.masked_array(np.zeros((self.num_nodes, self.num_nodes, 2))) grad_matrix[:, :, 1] = self.weight * 4 * internal_delta_y grad += np.reshape(np.sum(grad_matrix.filled(0), axis=1), grad.shape) return (cost, grad)

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null

0

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81dd7bf93e1b979a9c38544720897fb0c67f3793

110

py

Python

SalavatiHolidayCheckup/__init__.py

khalooei/holiday-check

683ea8aeb9b3103ffd1c9bb3d21101cd08d431a9

[ "MIT" ]

null

SalavatiHolidayCheckup/__init__.py

khalooei/holiday-check

683ea8aeb9b3103ffd1c9bb3d21101cd08d431a9

[ "MIT" ]

null

SalavatiHolidayCheckup/__init__.py

khalooei/holiday-check

683ea8aeb9b3103ffd1c9bb3d21101cd08d431a9

[ "MIT" ]

2

2021-05-06T21:19:44.000Z

2021-05-06T21:31:25.000Z

from .HolidayCheck import * from datetime import datetime import jdatetime from hijri_converter import convert

27.5

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c493db78068baf0d919e5d32b6b88fdfb9fe0e2a

317

py

Python

lang/py/cookbook/v2/source/cb2_11_6_sol_2.py

ch1huizong/learning

632267634a9fd84a5f5116de09ff1e2681a6cc85

[ "MIT" ]

null

lang/py/cookbook/v2/source/cb2_11_6_sol_2.py

ch1huizong/learning

632267634a9fd84a5f5116de09ff1e2681a6cc85

[ "MIT" ]

null

lang/py/cookbook/v2/source/cb2_11_6_sol_2.py

ch1huizong/learning

632267634a9fd84a5f5116de09ff1e2681a6cc85

[ "MIT" ]

null

icon='''R0lGODdhFQAVAPMAAAQ2PESapISCBASCBMTCxPxmNCQiJJya/ISChGRmzPz+/PxmzDQyZ DQyZDQyZDQyZCwAAAAAFQAVAAAElJDISau9Vh2WMD0gqHHelJwnsXVloqDd2hrMm8pYYiSHYfMMRm 53ULlQHGFFx1MZCciUiVOsPmEkKNVp3UBhJ4Ohy1UxerSgJGZMMBbcBACQlVhRiHvaUsXHgywTdyc LdxyB gm1vcTyIZW4MeU6NgQEBXEGRcQcIlwQIAwEHoioCAgWmCZ0Iq5+hA6wIpqislgGhthEAOw== '''

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1

null

1

0

6

c4a01a91b0fce925e5fb9acd513f594ad72f9537

104

py

Python

Old/src/com/basic/ruboob/jisuan.py

exchris/Pythonlearn

174f38a86cf1c85d6fc099005aab3568e7549cd0

[ "MIT" ]

null

Old/src/com/basic/ruboob/jisuan.py

exchris/Pythonlearn

174f38a86cf1c85d6fc099005aab3568e7549cd0

[ "MIT" ]

1

2018-11-27T09:58:54.000Z

Old/src/com/basic/ruboob/jisuan.py

exchris/pythonlearn

174f38a86cf1c85d6fc099005aab3568e7549cd0

[ "MIT" ]

null

# 数值运算 5 + 4 # 加法 4.3 - 2 # 减法 3 * 7 # 乘法 2 / 4 # 除法,得到一个浮点数 2 // 4 # 除法,得到一个整数 17 % 3 # 取余 2 ** 5 # 乘方

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0

1

0

1

0

null

0

1

0

6

c4d260332024beff0f03ea02bd502430fc3d0a83

201

py

Python

pizza/admin.py

Neo945/PizzaShop

2a3a365d68ebdc0152f9e9e5176fe78422e51640

[ "MIT" ]

null

pizza/admin.py

Neo945/PizzaShop

2a3a365d68ebdc0152f9e9e5176fe78422e51640

[ "MIT" ]

null

pizza/admin.py

Neo945/PizzaShop

2a3a365d68ebdc0152f9e9e5176fe78422e51640

[ "MIT" ]

null

from django.contrib import admin from .models import Pizza,Topping,Topping_pizza # Register your models here. admin.site.register(Pizza) admin.site.register(Topping) admin.site.register(Topping_pizza)

28.714286

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null

0

1

0

1

0

6

c4de07e8a1cb717f09e96ebeb64239a53f38a241

27

py

Python

ConverttoDDB/__init__.py

mailhexu/ConverttoDDB

03ca131d8a62b814ce6daa3b5d35db7922a148a2

[ "MIT" ]

null

ConverttoDDB/__init__.py

mailhexu/ConverttoDDB

03ca131d8a62b814ce6daa3b5d35db7922a148a2

[ "MIT" ]

null

ConverttoDDB/__init__.py

mailhexu/ConverttoDDB

03ca131d8a62b814ce6daa3b5d35db7922a148a2

[ "MIT" ]

null

from ConverttoDDB import *

13.5

26

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27

7.333333

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0

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1

27

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0

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null

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1

0

1

0

1

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6

c4ec0e9259a4f03ae940a5f00ed55ffdbe18a231

27

py

Python

src/__init__.py

ScienceStacks/FittingSurface

7994995c7155817ea4334f10dcd21e691cee46da

[ "MIT" ]

null

src/__init__.py

ScienceStacks/FittingSurface

7994995c7155817ea4334f10dcd21e691cee46da

[ "MIT" ]

null

src/__init__.py

ScienceStacks/FittingSurface

7994995c7155817ea4334f10dcd21e691cee46da

[ "MIT" ]

null

import src.constants as cn

13.5

26

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27

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1

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1

27

0.956522

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null

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1

0

1

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1

0

6

4801b3a8597330db6455106176750c09e5dae1ea

39

py

Python

dashserve/tests/__init__.py

omegaml/dashserve

4ab09bc70bed4070cd7dca8cf9b976212546cff3

[ "MIT" ]

7

2019-04-01T19:31:33.000Z

2020-06-08T13:23:39.000Z

dashserve/tests/__init__.py

omegaml/dashserve

4ab09bc70bed4070cd7dca8cf9b976212546cff3

[ "MIT" ]

null

dashserve/tests/__init__.py

omegaml/dashserve

4ab09bc70bed4070cd7dca8cf9b976212546cff3

[ "MIT" ]

null

from dashserve.tests import myapp

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null

0

1

0

1

0

1

0

6

483af905d7f6302c29d48faf91ebdc055eeabafc

119

py

Python

CodeWars/Python/5 kyu/Where my anagrams at?/main.py

opastushkov/codewars-solutions

0132a24259a4e87f926048318332dcb4d94858ca

[ "MIT" ]

null

CodeWars/Python/5 kyu/Where my anagrams at?/main.py

opastushkov/codewars-solutions

0132a24259a4e87f926048318332dcb4d94858ca

[ "MIT" ]

null

CodeWars/Python/5 kyu/Where my anagrams at?/main.py

opastushkov/codewars-solutions

0132a24259a4e87f926048318332dcb4d94858ca

[ "MIT" ]

null

from collections import Counter def anagrams(word, words): return [x for x in words if Counter(word) == Counter(x)]

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0

null

0

1

0

1

0

6

4876d919b7a112e32de20a167b6f53b1dbd9b0db

7,606

py

Python

tests/data_providers/test_frankfurter.py

N0081K/gold-digger

3a68084bf65565a61009f5e01da643499a5e06e6

[ "Apache-2.0" ]

7

2016-05-04T17:13:58.000Z

2017-11-07T07:29:16.000Z

tests/data_providers/test_frankfurter.py

N0081K/gold-digger

3a68084bf65565a61009f5e01da643499a5e06e6

[ "Apache-2.0" ]

94

2019-07-03T15:33:29.000Z

2022-03-28T01:17:41.000Z

tests/data_providers/test_frankfurter.py

N0081K/gold-digger

3a68084bf65565a61009f5e01da643499a5e06e6

[ "Apache-2.0" ]

2

2017-05-30T13:55:01.000Z

2017-08-20T19:52:45.000Z

from datetime import date from decimal import Decimal import pytest from requests import Response API_RESPONSE_USD = b""" { "base": "USD", "date": "2019-04-15", "rates": { "BGN": 1.7288075665, "NZD": 1.4787412711, "ILS": 3.5618315213, "RUB": 64.2633253779, "CAD": 1.3312118801, "PHP": 51.6892071069, "CHF": 1.0028286043, "AUD": 1.3931759922, "JPY": 111.9596923893, "TRY": 5.8019093079, "HKD": 7.8392115266, "MYR": 4.1167683196, "HRK": 6.5729691505, "CZK": 22.6509325555, "IDR": 14060.0017678777, "DKK": 6.5976310439, "NOK": 8.4874038717, "HUF": 283.0814107664, "GBP": 0.7628834085, "MXN": 18.7834349863, "THB": 31.7652258464, "ISK": 119.8621055423, "ZAR": 13.9832051622, "BRL": 3.8880049501, "SGD": 1.3523380182, "PLN": 3.7781313533, "INR": 69.4249977902, "KRW": 1132.6527004331, "RON": 4.2091399275, "CNY": 6.7061787324, "SEK": 9.2467073279, "EUR": 0.8839388314 } } """ @pytest.fixture def response(): """ :rtype: requests.Response """ return Response() class TestGetByDate: @staticmethod def test_get_by_date__available(frankfurter, response, logger): """ :type frankfurter: gold_digger.data_providers.Frankfurter :type response: requests.Response :type logger: gold_digger.utils.ContextLogger """ response.status_code = 200 response._content = API_RESPONSE_USD frankfurter._get = lambda url, **kw: response converted_rate = frankfurter.get_by_date(date(2019, 4, 15), "CZK", logger) assert converted_rate == Decimal(22.6509325555) @staticmethod def test_get_by_date__date_unavailable(frankfurter, response, logger): """ Frankfurter API returns rates from last available date when asked for an unavailable one. :type frankfurter: gold_digger.data_providers.Frankfurter :type response: requests.Response :type logger: gold_digger.utils.ContextLogger """ response.status_code = 200 response._content = API_RESPONSE_USD frankfurter._get = lambda url, **kw: response converted_rate = frankfurter.get_by_date(date(2019, 4, 16), "CZK", logger) assert converted_rate == Decimal(22.6509325555) @staticmethod def test_get_by_date__date_too_old(frankfurter, response, logger): """ Frankfurter API returns error when the specified date is before 1999-01-04. :type frankfurter: gold_digger.data_providers.Frankfurter :type response: requests.Response :type logger: gold_digger.utils.ContextLogger """ response.status_code = 400 response._content = b'{"error": "Error message"}' frankfurter._get = lambda url, **kw: response converted_rates = frankfurter.get_by_date(date(1000, 1, 11), "CZK", logger) assert converted_rates is None @staticmethod def test_get_by_date__currency_unavailable(frankfurter, response, logger): """ :type frankfurter: gold_digger.data_providers.Frankfurter :type response: requests.Response :type logger: gold_digger.utils.ContextLogger """ response.status_code = 400 response._content = b'{"error": "Error message"}' frankfurter._get = lambda url, **kw: response converted_rates = frankfurter.get_by_date(date(2019, 4, 16), "XXX", logger) assert converted_rates is None @staticmethod def test_get_by_date__base_currency_is_same_as_target_currency(frankfurter, base_currency, logger): """ Frankfurter API returns error when base and target currencies are same. :type frankfurter: gold_digger.data_providers.Frankfurter :type base_currency: str :type logger: gold_digger.utils.ContextLogger """ response.status_code = 200 response._content = API_RESPONSE_USD frankfurter._get = lambda url, **kw: response converted_rates = frankfurter.get_by_date(date(2019, 4, 16), base_currency, logger) assert converted_rates == Decimal("1") class TestGetAllByDate: @staticmethod def test_get_all_by_date__available(frankfurter, response, logger): """ :type frankfurter: gold_digger.data_providers.Frankfurter :type response: requests.Response :type logger: gold_digger.utils.ContextLogger """ response.status_code = 200 response._content = API_RESPONSE_USD frankfurter._get = lambda url, **kw: response converted_rates = frankfurter.get_all_by_date(date(2019, 4, 15), {"CZK", "EUR"}, logger) assert converted_rates == { "CZK": Decimal(22.6509325555), "EUR": Decimal(0.8839388314), } @staticmethod def test_get_all_by_date__date_unavailable(frankfurter, response, logger): """ Frankfurter API returns rates from last available date when asked for an unavailable one. :type frankfurter: gold_digger.data_providers.Frankfurter :type response: requests.Response :type logger: gold_digger.utils.ContextLogger """ response.status_code = 200 response._content = API_RESPONSE_USD frankfurter._get = lambda url, **kw: response converted_rates = frankfurter.get_all_by_date(date(2019, 4, 16), {"CZK", "EUR"}, logger) assert converted_rates == { "CZK": Decimal(22.6509325555), "EUR": Decimal(0.8839388314), } @staticmethod def test_get_all_by_date__date_too_old(frankfurter, response, logger): """ Frankfurter API returns error when the specified date is before 1999-01-04. :type frankfurter: gold_digger.data_providers.Frankfurter :type response: requests.Response :type logger: gold_digger.utils.ContextLogger """ response.status_code = 400 response._content = b'{"error": "Error message"}' frankfurter._get = lambda url, **kw: response converted_rates = frankfurter.get_all_by_date(date(1000, 1, 11), {"CZK"}, logger) assert converted_rates == {} @staticmethod def test_get_all_by_date__currency_unavailable(frankfurter, response, logger): """ :type frankfurter: gold_digger.data_providers.Frankfurter :type response: requests.Response :type logger: gold_digger.utils.ContextLogger """ response.status_code = 400 response._content = b'{"error": "Error message"}' frankfurter._get = lambda url, **kw: response converted_rates = frankfurter.get_all_by_date(date(2019, 4, 16), {"XXX"}, logger) assert converted_rates == {} @staticmethod def test_get_all_by_date__base_currency_is_same_as_target_currency(frankfurter, response, base_currency, logger): """ Frankfurter API returns error when base and target currencies are same. :type frankfurter: gold_digger.data_providers.Frankfurter :type response: requests.Response :type base_currency: str :type logger: gold_digger.utils.ContextLogger """ response.status_code = 200 response._content = API_RESPONSE_USD frankfurter._get = lambda url, **kw: response converted_rates = frankfurter.get_all_by_date(date(2019, 4, 16), {base_currency, "CZK"}, logger) assert converted_rates == { base_currency: Decimal(1), "CZK": Decimal(22.6509325555), }

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null

0

1

0

null

0

6

6f95f31b7eba0c5f2f9682f9a8079675af4301e6

373

py

Python

shared/tests/unit/util/test_key_strings.py

ostcar/openslides-datastore-service

5b17e162c477e3d19b59b2dcfcf307538e5ce90b

[ "MIT" ]

null

shared/tests/unit/util/test_key_strings.py

ostcar/openslides-datastore-service

5b17e162c477e3d19b59b2dcfcf307538e5ce90b

[ "MIT" ]

null

shared/tests/unit/util/test_key_strings.py

ostcar/openslides-datastore-service

5b17e162c477e3d19b59b2dcfcf307538e5ce90b

[ "MIT" ]

null

from shared.util import is_reserved_field def test_is_reserved_field_1(): assert is_reserved_field("meta_something") def test_is_reserved_field_2(): assert is_reserved_field("meta") def test_is_reserved_field_None(): assert is_reserved_field(None) is False def test_is_reserved_field_other_string(): assert is_reserved_field("some_string") is False

20.722222

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null

1

0

null

0

1

0

1

0

6

6f9e78e8624fe6b515da43e4230ba39f621331f3

27

py

Python

python/prism_adacs/prism_adacs/_internal/tests/test_setup.py

ADACS-Australia/ADACS-SS18B-EvdVelden

b995797f06cf659076f716f2a2ee8435538badfc

[ "MIT" ]

null

python/prism_adacs/prism_adacs/_internal/tests/test_setup.py

ADACS-Australia/ADACS-SS18B-EvdVelden

b995797f06cf659076f716f2a2ee8435538badfc

[ "MIT" ]

1

2022-01-19T16:19:02.000Z

library/tests/test_setup.py

pimoroni/apds9500-python

8eb3dde36b4639be7ca1b253dab2aef982d111f3

[ "MIT" ]

null

def test_setup(): pass

9

17

0.62963

4

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4

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2

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13.5

0.8

0

1

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0

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0

1

0

null

0

1

0

null

0

1

0

6

6fa500e42625c19d800cd89e5b39cdf8b51c29b1

15,131

py

Python

tensorflow/python/keras/layers/preprocessing/category_encoding_test.py

sgautham2k/tensorflow

d99a093ba8cf2bf83d01e585e8e1805c3e6145ba

[ "Apache-2.0" ]

1

2021-06-17T17:07:40.000Z

tensorflow/python/keras/layers/preprocessing/category_encoding_test.py

dfki-thsc/tensorflow

8d746f768196a2434d112e98fc26c99590986d73

[ "Apache-2.0" ]

2

2021-11-10T20:10:39.000Z

2022-02-10T05:15:31.000Z

tensorflow/python/keras/layers/preprocessing/category_encoding_test.py

dfki-thsc/tensorflow

8d746f768196a2434d112e98fc26c99590986d73

[ "Apache-2.0" ]

1

2021-04-20T18:26:18.000Z

# Copyright 2020 The TensorFlow Authors. All Rights Reserved. # # 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. # ============================================================================== """Tests for Keras text category_encoding preprocessing layer.""" from absl.testing import parameterized import numpy as np from tensorflow.python import keras from tensorflow.python.framework import constant_op from tensorflow.python.framework import dtypes from tensorflow.python.framework import errors from tensorflow.python.framework import sparse_tensor from tensorflow.python.keras import backend from tensorflow.python.keras import keras_parameterized from tensorflow.python.keras.layers import core from tensorflow.python.keras.layers.preprocessing import category_encoding from tensorflow.python.keras.layers.preprocessing import preprocessing_test_utils from tensorflow.python.ops import sparse_ops from tensorflow.python.ops.ragged import ragged_factory_ops from tensorflow.python.platform import test @keras_parameterized.run_all_keras_modes(always_skip_v1=True) class CategoryEncodingInputTest(keras_parameterized.TestCase, preprocessing_test_utils.PreprocessingLayerTest ): def test_dense_input_sparse_output(self): input_array = constant_op.constant([[1, 2, 3], [3, 3, 0]]) # The expected output should be (X for missing value): # [[X, 1, 1, 1, X, X] # [1, X, X, 2, X, X]] expected_indices = [[0, 1], [0, 2], [0, 3], [1, 0], [1, 3]] expected_values = [1, 1, 1, 1, 2] num_tokens = 6 input_data = keras.Input(shape=(None,), dtype=dtypes.int32) layer = category_encoding.CategoryEncoding( num_tokens=num_tokens, output_mode=category_encoding.COUNT, sparse=True) int_data = layer(input_data) model = keras.Model(inputs=input_data, outputs=int_data) sp_output_dataset = model.predict(input_array, steps=1) self.assertAllEqual(expected_values, sp_output_dataset.values) self.assertAllEqual(expected_indices, sp_output_dataset.indices) # Assert sparse output is same as dense output. layer = category_encoding.CategoryEncoding( num_tokens=num_tokens, output_mode=category_encoding.COUNT, sparse=False) int_data = layer(input_data) model = keras.Model(inputs=input_data, outputs=int_data) output_dataset = model.predict(input_array, steps=1) self.assertAllEqual( sparse_ops.sparse_tensor_to_dense(sp_output_dataset, default_value=0), output_dataset) def test_sparse_input(self): input_array = np.array([[1, 2, 3, 0], [0, 3, 1, 0]], dtype=np.int64) sparse_tensor_data = sparse_ops.from_dense(input_array) # pyformat: disable expected_output = [[0, 1, 1, 1, 0, 0], [0, 1, 0, 1, 0, 0]] # pyformat: enable num_tokens = 6 expected_output_shape = [None, num_tokens] input_data = keras.Input(shape=(None,), dtype=dtypes.int64, sparse=True) layer = category_encoding.CategoryEncoding( num_tokens=num_tokens, output_mode=category_encoding.BINARY) int_data = layer(input_data) self.assertAllEqual(expected_output_shape, int_data.shape.as_list()) model = keras.Model(inputs=input_data, outputs=int_data) output_dataset = model.predict(sparse_tensor_data, steps=1) self.assertAllEqual(expected_output, output_dataset) def test_sparse_input_with_weights(self): input_array = np.array([[1, 2, 3, 4], [4, 3, 1, 4]], dtype=np.int64) weights_array = np.array([[.1, .2, .3, .4], [.2, .1, .4, .3]]) sparse_tensor_data = sparse_ops.from_dense(input_array) sparse_weight_data = sparse_ops.from_dense(weights_array) # pyformat: disable expected_output = [[0, .1, .2, .3, .4, 0], [0, .4, 0, .1, .5, 0]] # pyformat: enable num_tokens = 6 expected_output_shape = [None, num_tokens] input_data = keras.Input(shape=(None,), dtype=dtypes.int64, sparse=True) weight_data = keras.Input(shape=(None,), dtype=dtypes.float32, sparse=True) layer = category_encoding.CategoryEncoding( num_tokens=num_tokens, output_mode=category_encoding.COUNT) int_data = layer(input_data, count_weights=weight_data) self.assertAllEqual(expected_output_shape, int_data.shape.as_list()) model = keras.Model(inputs=[input_data, weight_data], outputs=int_data) output_dataset = model.predict([sparse_tensor_data, sparse_weight_data], steps=1) self.assertAllClose(expected_output, output_dataset) def test_sparse_input_sparse_output(self): sp_inp = sparse_tensor.SparseTensor( indices=[[0, 0], [1, 1], [2, 0], [2, 1], [3, 1]], values=[0, 2, 1, 1, 0], dense_shape=[4, 2]) input_data = keras.Input(shape=(None,), dtype=dtypes.int64, sparse=True) # The expected output should be (X for missing value): # [[1, X, X, X] # [X, X, 1, X] # [X, 2, X, X] # [1, X, X, X]] expected_indices = [[0, 0], [1, 2], [2, 1], [3, 0]] expected_values = [1, 1, 2, 1] num_tokens = 6 layer = category_encoding.CategoryEncoding( num_tokens=num_tokens, output_mode=category_encoding.COUNT, sparse=True) int_data = layer(input_data) model = keras.Model(inputs=input_data, outputs=int_data) sp_output_dataset = model.predict(sp_inp, steps=1) self.assertAllEqual(expected_values, sp_output_dataset.values) self.assertAllEqual(expected_indices, sp_output_dataset.indices) # Assert sparse output is same as dense output. layer = category_encoding.CategoryEncoding( num_tokens=num_tokens, output_mode=category_encoding.COUNT, sparse=False) int_data = layer(input_data) model = keras.Model(inputs=input_data, outputs=int_data) output_dataset = model.predict(sp_inp, steps=1) self.assertAllEqual( sparse_ops.sparse_tensor_to_dense(sp_output_dataset, default_value=0), output_dataset) def test_sparse_input_sparse_output_with_weights(self): indices = [[0, 0], [1, 1], [2, 0], [2, 1], [3, 1]] sp_inp = sparse_tensor.SparseTensor( indices=indices, values=[0, 2, 1, 1, 0], dense_shape=[4, 2]) input_data = keras.Input(shape=(None,), dtype=dtypes.int64, sparse=True) sp_weight = sparse_tensor.SparseTensor( indices=indices, values=[.1, .2, .4, .3, .2], dense_shape=[4, 2]) weight_data = keras.Input(shape=(None,), dtype=dtypes.float32, sparse=True) # The expected output should be (X for missing value): # [[1, X, X, X] # [X, X, 1, X] # [X, 2, X, X] # [1, X, X, X]] expected_indices = [[0, 0], [1, 2], [2, 1], [3, 0]] expected_values = [.1, .2, .7, .2] num_tokens = 6 layer = category_encoding.CategoryEncoding( num_tokens=num_tokens, output_mode=category_encoding.COUNT, sparse=True) int_data = layer(input_data, count_weights=weight_data) model = keras.Model(inputs=[input_data, weight_data], outputs=int_data) sp_output_dataset = model.predict([sp_inp, sp_weight], steps=1) self.assertAllClose(expected_values, sp_output_dataset.values) self.assertAllEqual(expected_indices, sp_output_dataset.indices) def test_ragged_input(self): input_array = ragged_factory_ops.constant([[1, 2, 3], [3, 1]]) # pyformat: disable expected_output = [[0, 1, 1, 1, 0, 0], [0, 1, 0, 1, 0, 0]] # pyformat: enable num_tokens = 6 expected_output_shape = [None, num_tokens] input_data = keras.Input(shape=(None,), dtype=dtypes.int32, ragged=True) layer = category_encoding.CategoryEncoding( num_tokens=num_tokens, output_mode=category_encoding.BINARY) int_data = layer(input_data) self.assertAllEqual(expected_output_shape, int_data.shape.as_list()) model = keras.Model(inputs=input_data, outputs=int_data) output_dataset = model.predict(input_array, steps=1) self.assertAllEqual(expected_output, output_dataset) def test_ragged_input_sparse_output(self): input_array = ragged_factory_ops.constant([[1, 2, 3], [3, 3]]) # The expected output should be (X for missing value): # [[X, 1, 1, 1] # [X, X, X, 2]] expected_indices = [[0, 1], [0, 2], [0, 3], [1, 3]] expected_values = [1, 1, 1, 2] num_tokens = 6 input_data = keras.Input(shape=(None,), dtype=dtypes.int32, ragged=True) layer = category_encoding.CategoryEncoding( num_tokens=num_tokens, output_mode=category_encoding.COUNT, sparse=True) int_data = layer(input_data) model = keras.Model(inputs=input_data, outputs=int_data) sp_output_dataset = model.predict(input_array, steps=1) self.assertAllEqual(expected_values, sp_output_dataset.values) self.assertAllEqual(expected_indices, sp_output_dataset.indices) # Assert sparse output is same as dense output. layer = category_encoding.CategoryEncoding( num_tokens=num_tokens, output_mode=category_encoding.COUNT, sparse=False) int_data = layer(input_data) model = keras.Model(inputs=input_data, outputs=int_data) output_dataset = model.predict(input_array, steps=1) self.assertAllEqual( sparse_ops.sparse_tensor_to_dense(sp_output_dataset, default_value=0), output_dataset) def test_sparse_output_and_dense_layer(self): input_array = constant_op.constant([[1, 2, 3], [3, 3, 0]]) num_tokens = 4 input_data = keras.Input(shape=(None,), dtype=dtypes.int32) encoding_layer = category_encoding.CategoryEncoding( num_tokens=num_tokens, output_mode=category_encoding.COUNT, sparse=True) int_data = encoding_layer(input_data) dense_layer = keras.layers.Dense(units=1) output_data = dense_layer(int_data) model = keras.Model(inputs=input_data, outputs=output_data) _ = model.predict(input_array, steps=1) def test_dense_oov_input(self): input_array = constant_op.constant([[0, 1, 2], [2, 3, 1]]) num_tokens = 3 expected_output_shape = [None, num_tokens] encoder_layer = category_encoding.CategoryEncoding(num_tokens) input_data = keras.Input(shape=(3,), dtype=dtypes.int32) int_data = encoder_layer(input_data) self.assertAllEqual(expected_output_shape, int_data.shape.as_list()) model = keras.Model(inputs=input_data, outputs=int_data) with self.assertRaisesRegex( errors.InvalidArgumentError, ".*must be in the range 0 <= values < num_tokens.*"): _ = model.predict(input_array, steps=1) def test_dense_negative(self): input_array = constant_op.constant([[1, 2, 0], [2, 2, -1]]) num_tokens = 3 expected_output_shape = [None, num_tokens] encoder_layer = category_encoding.CategoryEncoding(num_tokens) input_data = keras.Input(shape=(3,), dtype=dtypes.int32) int_data = encoder_layer(input_data) self.assertAllEqual(expected_output_shape, int_data.shape.as_list()) model = keras.Model(inputs=input_data, outputs=int_data) with self.assertRaisesRegex( errors.InvalidArgumentError, ".*must be in the range 0 <= values < num_tokens.*"): _ = model.predict(input_array, steps=1) def test_legacy_max_tokens_arg(self): input_array = np.array([[1, 2, 3, 1]]) expected_output = [[0, 1, 1, 1, 0, 0]] num_tokens = 6 expected_output_shape = [None, num_tokens] input_data = keras.Input(shape=(None,), dtype=dtypes.int32) layer = category_encoding.CategoryEncoding( max_tokens=num_tokens, output_mode=category_encoding.BINARY) int_data = layer(input_data) self.assertAllEqual(expected_output_shape, int_data.shape.as_list()) model = keras.Model(inputs=input_data, outputs=int_data) output_dataset = model.predict(input_array) self.assertAllEqual(expected_output, output_dataset) @keras_parameterized.run_all_keras_modes class CategoryEncodingOutputTest(keras_parameterized.TestCase, preprocessing_test_utils.PreprocessingLayerTest ): def test_binary_output(self): input_array = np.array([[1, 2, 3, 1], [0, 3, 1, 0]]) # pyformat: disable expected_output = [[0, 1, 1, 1, 0, 0], [1, 1, 0, 1, 0, 0]] # pyformat: enable num_tokens = 6 expected_output_shape = [None, num_tokens] input_data = keras.Input(shape=(None,), dtype=dtypes.int32) layer = category_encoding.CategoryEncoding( num_tokens=num_tokens, output_mode=category_encoding.BINARY) int_data = layer(input_data) self.assertAllEqual(expected_output_shape, int_data.shape.as_list()) model = keras.Model(inputs=input_data, outputs=int_data) output_dataset = model.predict(input_array) self.assertAllEqual(expected_output, output_dataset) def test_count_output(self): input_array = np.array([[1, 2, 3, 1], [0, 3, 1, 0]]) # pyformat: disable expected_output = [[0, 2, 1, 1, 0, 0], [2, 1, 0, 1, 0, 0]] # pyformat: enable num_tokens = 6 expected_output_shape = [None, num_tokens] input_data = keras.Input(shape=(None,), dtype=dtypes.int32) layer = category_encoding.CategoryEncoding( num_tokens=6, output_mode=category_encoding.COUNT) int_data = layer(input_data) self.assertAllEqual(expected_output_shape, int_data.shape.as_list()) model = keras.Model(inputs=input_data, outputs=int_data) output_dataset = model.predict(input_array) self.assertAllEqual(expected_output, output_dataset) class CategoryEncodingModelBuildingTest( keras_parameterized.TestCase, preprocessing_test_utils.PreprocessingLayerTest): @parameterized.named_parameters( { "testcase_name": "count_output", "num_tokens": 5, "output_mode": category_encoding.COUNT }, { "testcase_name": "binary_output", "num_tokens": 5, "output_mode": category_encoding.BINARY }) def test_end_to_end_bagged_modeling(self, output_mode, num_tokens): input_array = np.array([[1, 2, 3, 1], [0, 3, 1, 0]]) input_data = keras.Input(shape=(None,), dtype=dtypes.int32) layer = category_encoding.CategoryEncoding( num_tokens=num_tokens, output_mode=output_mode) weights = [] if num_tokens is None: layer.set_num_elements(5) layer.set_weights(weights) int_data = layer(input_data) float_data = backend.cast(int_data, dtype="float32") output_data = core.Dense(64)(float_data) model = keras.Model(inputs=input_data, outputs=output_data) _ = model.predict(input_array) if __name__ == "__main__": test.main()

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6

6fb35c6a0773bc5777e0c8acf34ec552b189a0de

43

py

Python

mfp/mfp_sub/__init__.py

benvliet/mfp

50b1e3412015086e5684b2f4be4080dee4bfd30f

[ "MIT" ]

null

mfp/mfp_sub/__init__.py

benvliet/mfp

50b1e3412015086e5684b2f4be4080dee4bfd30f

[ "MIT" ]

2

2021-11-11T11:25:38.000Z

2021-12-05T18:47:26.000Z

mfp/mfp_sub/__init__.py

benvliet/mfp

50b1e3412015086e5684b2f4be4080dee4bfd30f

[ "MIT" ]

null

from .times import times_two # noqa: F401

21.5

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6fded39ff8ef89fb844a30d621abe2c13797a5bf

126

py

Python

example/controller/tests/helper/numeric/__init__.py

donghak-shin/dp-tornado

095bb293661af35cce5f917d8a2228d273489496

[ "MIT" ]

18

2015-04-07T14:28:39.000Z

2020-02-08T14:03:38.000Z

example/controller/tests/helper/numeric/__init__.py

donghak-shin/dp-tornado

095bb293661af35cce5f917d8a2228d273489496

[ "MIT" ]

7

2016-10-05T05:14:06.000Z

2021-05-20T02:07:22.000Z

example/controller/tests/helper/numeric/__init__.py

donghak-shin/dp-tornado

095bb293661af35cce5f917d8a2228d273489496

[ "MIT" ]

11

2015-12-15T09:49:39.000Z

2021-09-06T18:38:21.000Z

# -*- coding: utf-8 -*- from dp_tornado.engine.controller import Controller class NumericController(Controller): pass

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6

82f2be33a7648a3ed0fc9534a33d9ebb99637f2a

2,161

py

Python

tests/test_adapter_validation.py

ingeniousambivert/chatbot

fb1d9659df6c1b6eddd8ee9349f5a65a0530db2a

[ "BSD-3-Clause" ]

null

tests/test_adapter_validation.py

ingeniousambivert/chatbot

fb1d9659df6c1b6eddd8ee9349f5a65a0530db2a

[ "BSD-3-Clause" ]

null

tests/test_adapter_validation.py

ingeniousambivert/chatbot

fb1d9659df6c1b6eddd8ee9349f5a65a0530db2a

[ "BSD-3-Clause" ]

null

from chatterbot import ChatBot from chatterbot.adapters import Adapter from tests.base_case import ChatBotTestCase class AdapterValidationTests(ChatBotTestCase): def test_invalid_storage_adapter(self): kwargs = self.get_kwargs() kwargs['storage_adapter'] = 'chatterbot.logic.LogicAdapter' with self.assertRaises(Adapter.InvalidAdapterTypeException): self.chatbot = ChatBot('Test Bot', **kwargs) def test_valid_storage_adapter(self): kwargs = self.get_kwargs() kwargs['storage_adapter'] = 'chatterbot.storage.SQLStorageAdapter' try: self.chatbot = ChatBot('Test Bot', **kwargs) except Adapter.InvalidAdapterTypeException: self.fail('Test raised InvalidAdapterException unexpectedly!') def test_invalid_logic_adapter(self): kwargs = self.get_kwargs() kwargs['logic_adapters'] = ['chatterbot.storage.StorageAdapter'] with self.assertRaises(Adapter.InvalidAdapterTypeException): self.chatbot = ChatBot('Test Bot', **kwargs) def test_valid_logic_adapter(self): kwargs = self.get_kwargs() kwargs['logic_adapters'] = ['chatterbot.logic.BestMatch'] try: self.chatbot = ChatBot('Test Bot', **kwargs) except Adapter.InvalidAdapterTypeException: self.fail('Test raised InvalidAdapterException unexpectedly!') def test_valid_adapter_dictionary(self): kwargs = self.get_kwargs() kwargs['storage_adapter'] = { 'import_path': 'chatterbot.storage.SQLStorageAdapter' } try: self.chatbot = ChatBot('Test Bot', **kwargs) except Adapter.InvalidAdapterTypeException: self.fail('Test raised InvalidAdapterException unexpectedly!') def test_invalid_adapter_dictionary(self): kwargs = self.get_kwargs() kwargs['storage_adapter'] = { 'import_path': 'chatterbot.logic.BestMatch' } with self.assertRaises(Adapter.InvalidAdapterTypeException): self.chatbot = ChatBot('Test Bot', **kwargs)

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1

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null

0

6

82f4ac14a4bfd3dd663a8fa2e2c1aa454f79c795

94

py

Python

luminoth/utils/hooks/__init__.py

jsdussanc/luminoth

7637c52cc01d2826a231fef43746aa10951f99f0

[ "BSD-3-Clause" ]

2,584

2017-08-16T20:31:52.000Z

2022-03-16T07:53:54.000Z

luminoth/utils/hooks/__init__.py

dun933/Tabulo

dc1c1203a40e1ecf2aaca9647f3008ab72b41438

[ "BSD-3-Clause" ]

197

2017-08-17T14:49:18.000Z

2022-02-10T01:50:50.000Z

luminoth/utils/hooks/__init__.py

czbiohub/luminoth

3b4d57a9b4c3704c64816bbcbd6126a2ac23a069

[ "BSD-3-Clause" ]

462

2017-08-16T22:00:23.000Z

2022-03-08T19:14:00.000Z

from .image_vis_hook import ImageVisHook # noqa from .var_vis_hook import VarVisHook # noqa

31.333333

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1

0

6

d207fb5ad1ff865dfb9ff53929b56029a04edfee

142

py

Python

liberator/__init__.py

root795/libresbc

79d80e2a88f24f984a654855d45f5db8b18fc134

[ "MIT" ]

null

liberator/__init__.py

root795/libresbc

79d80e2a88f24f984a654855d45f5db8b18fc134

[ "MIT" ]

null

liberator/__init__.py

root795/libresbc

79d80e2a88f24f984a654855d45f5db8b18fc134

[ "MIT" ]

null

from .configuration import * from .utilities import * from .bases import * from .libreapi import * from .fsxmlapi import * from .api import *

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1

0

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0

6

d2207224c4437e9a32a07f46aef2970b21033f49

129

py

Python

deepy/preprocessing/__init__.py

uaca/deepy

090fbad22a08a809b12951cd0d4984f5bd432698

[ "MIT" ]

260

2015-05-16T07:58:29.000Z

2016-01-07T09:10:47.000Z

deepy/preprocessing/__init__.py

uaca/deepy

090fbad22a08a809b12951cd0d4984f5bd432698

[ "MIT" ]

20

2015-04-21T01:46:46.000Z

2015-12-20T00:04:23.000Z

deepy/preprocessing/__init__.py

zomux/deepy

090fbad22a08a809b12951cd0d4984f5bd432698

[ "MIT" ]

50

2016-01-27T03:45:25.000Z

2020-12-16T07:02:57.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- from padding import pad_sequence from elastic_distortion import elastic_distortion

25.8

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true

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0

null

0

1

0

1

0

1

0

6

d248af9e25738999a8ceb3d3472008e85ac18877

33

py

Python

sokoban/__init__.py

tcosmo/sokoban

cc39506412aea91df84c8232280074b223fa0883

[ "MIT" ]

null

sokoban/__init__.py

tcosmo/sokoban

cc39506412aea91df84c8232280074b223fa0883

[ "MIT" ]

null

sokoban/__init__.py

tcosmo/sokoban

cc39506412aea91df84c8232280074b223fa0883

[ "MIT" ]

null

from sokoban.game_loop import run

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1

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1

0

1

0

6

962d33280ffd3517d990250dfb0485c2992b6cf7

160

py

Python

modules/xatlas_unwrap/config.py

aBARICHELLO/godot

6e0de76746783433cb62511696f6a967567cb001

[ "CC-BY-3.0", "Apache-2.0", "MIT" ]

null

modules/xatlas_unwrap/config.py

aBARICHELLO/godot

6e0de76746783433cb62511696f6a967567cb001

[ "CC-BY-3.0", "Apache-2.0", "MIT" ]

null

modules/xatlas_unwrap/config.py

aBARICHELLO/godot

6e0de76746783433cb62511696f6a967567cb001

[ "CC-BY-3.0", "Apache-2.0", "MIT" ]

null

def can_build(env, platform): return False #xatlas is buggy #return (env['tools'] and platform not in ["android", "ios"]) def configure(env): pass

22.857143

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1

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1

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6

96639550cbc69edf1bb33fef049884008a61af7d

21

py

Python

sampro/__init__.py

doublereedkurt/sampro

368aa0cd1a3683d12483925c4e97d225f40c8d36

[ "MIT" ]

3

2015-03-18T14:54:58.000Z

2015-11-01T12:29:42.000Z

sampro/__init__.py

kurtbrose/sampro

368aa0cd1a3683d12483925c4e97d225f40c8d36

[ "MIT" ]

null

sampro/__init__.py

kurtbrose/sampro

368aa0cd1a3683d12483925c4e97d225f40c8d36

[ "MIT" ]

null

from sampro import *

10.5

20

0.761905

3

21

5.333333

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0.190476

21

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21

0.941176

0

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null

0

1

0

1

0

1

0

6

96782e74d86b48f26884334d40d1bb5f3ff4ad4c

9,846

py

Python

pytests/tuqquery/tuq_precedence.py

sumedhpb/testrunner

9ff887231c75571624abc31a3fb5248110e01203

[ "Apache-2.0" ]

14

2015-02-06T02:47:57.000Z

2020-03-14T15:06:05.000Z

pytests/tuqquery/tuq_precedence.py

sumedhpb/testrunner

9ff887231c75571624abc31a3fb5248110e01203

[ "Apache-2.0" ]

3

2019-02-27T19:29:11.000Z

2021-06-02T02:14:27.000Z

pytests/tuqquery/tuq_precedence.py

sumedhpb/testrunner

9ff887231c75571624abc31a3fb5248110e01203

[ "Apache-2.0" ]

108

2015-03-26T08:58:49.000Z

2022-03-21T05:21:39.000Z

from tuqquery.tuq import QueryTests class PrecedenceTests(QueryTests): def setUp(self): super(PrecedenceTests, self).setUp() self.log.info("============== PrecedenceTests setup has started ==============") self.log.info("============== PrecedenceTests setup has completed ==============") self.log_config_info() self.query_buckets = self.get_query_buckets(check_all_buckets=True) def suite_setUp(self): super(PrecedenceTests, self).suite_setUp() self.log.info("============== PrecedenceTests suite_setup has started ==============") self.log.info("============== PrecedenceTests suite_setup has completed ==============") def tearDown(self): self.log.info("============== PrecedenceTests teardown has started ==============") self.log.info("============== PrecedenceTests teardown has completed ==============") super(PrecedenceTests, self).tearDown() def suite_tearDown(self): self.log.info("============== PrecedenceTests suite_teardown has started ==============") self.log.info("============== PrecedenceTests suite_teardown has completed ==============") super(PrecedenceTests, self).suite_tearDown() def test_case_and_like(self): self.fail_if_no_buckets() for query_bucket in self.query_buckets: self.query = "SELECT name, CASE WHEN join_mo < 3 OR join_mo > 11 THEN" + \ " 'winter' ELSE 'other' END AS period FROM %s WHERE CASE WHEN" % query_bucket + \ " join_mo < 3 OR join_mo > 11 THEN 'winter' ELSE 'other' END LIKE 'win%'" actual_result = self.run_cbq_query() actual_result = sorted(actual_result['results'], key=lambda doc: ( doc['name'], doc['period'])) expected_result = [{"name": doc['name'], "period": ('other', 'winter') [doc['join_mo'] in [12, 1, 2]]} for doc in self.full_list if ('other', 'winter')[doc['join_mo'] in [12, 1, 2]].startswith( 'win')] expected_result = sorted(expected_result, key=lambda doc: (doc['name'], doc['period'])) self._verify_results(actual_result, expected_result) def test_case_and_logic_exp(self): for query_bucket in self.query_buckets: self.query = "SELECT DISTINCT name, CASE WHEN join_mo < 3 OR join_mo > 11 THEN" + \ " 'winter' ELSE 'other' END AS period FROM %s WHERE CASE WHEN join_mo < 3" % query_bucket + \ " OR join_mo > 11 THEN 1 ELSE 0 END > 0 AND job_title='Sales'" actual_result = self.run_cbq_query() actual_result = sorted(actual_result['results'], key=lambda doc: ( doc['name'], doc['period'])) expected_result = [{"name": doc['name'], "period": ('other', 'winter') [doc['join_mo'] in [12, 1, 2]]} for doc in self.full_list if (0, 1)[doc['join_mo'] in [12, 1, 2]] > 0 and doc['job_title'] == 'Sales'] expected_result = [dict(y) for y in set(tuple(x.items()) for x in expected_result)] expected_result = sorted(expected_result, key=lambda doc: (doc['name'], doc['period'])) self._verify_results(actual_result, expected_result) def test_prepared_case_and_logic_exp(self): for query_bucket in self.query_buckets: self.query = "SELECT DISTINCT name, CASE WHEN join_mo < 3 OR join_mo > 11 THEN" + \ " 'winter' ELSE 'other' END AS period FROM %s WHERE CASE WHEN join_mo < 3" % query_bucket + \ " OR join_mo > 11 THEN 1 ELSE 0 END > 0 AND job_title='Sales'" self.prepared_common_body() def test_case_and_comparision_exp(self): for query_bucket in self.query_buckets: self.query = "SELECT DISTINCT name, CASE WHEN join_mo < 3 OR join_mo > 11 THEN" + \ " 'winter' ELSE 'other' END AS period FROM %s WHERE CASE WHEN join_mo < 3" % query_bucket + \ " OR join_mo > 11 THEN 1 END = 1 AND job_title='Sales'" actual_result = self.run_cbq_query() actual_result = sorted(actual_result['results'], key=lambda doc: ( doc['name'], doc['period'])) expected_result = [{"name": doc['name'], "period": ('other', 'winter') [doc['join_mo'] in [12, 1, 2]]} for doc in self.full_list if (doc['join_mo'], 1)[doc['join_mo'] in [12, 1, 2]] == 1 and doc['job_title'] == 'Sales'] expected_result = [dict(y) for y in set(tuple(x.items()) for x in expected_result)] expected_result = sorted(expected_result, key=lambda doc: (doc['name'], doc['period'])) self._verify_results(actual_result, expected_result) def test_arithm_and_comparision_exp(self): for query_bucket in self.query_buckets: self.query = "SELECT name from %s WHERE join_mo > 3 + 1" % query_bucket actual_result = self.run_cbq_query() actual_result = sorted(actual_result['results'], key=lambda doc: ( doc['name'])) expected_result = [{"name": doc['name']} for doc in self.full_list if doc['join_mo'] > (3 + 1)] expected_result = sorted(expected_result, key=lambda doc: (doc['name'])) self._verify_results(actual_result, expected_result) self.query = "SELECT name from %s WHERE join_mo = 3 + 1" % query_bucket actual_result = self.run_cbq_query() actual_result = sorted(actual_result['results'], key=lambda doc: ( doc['name'])) expected_result = [{"name": doc['name']} for doc in self.full_list if doc['join_mo'] == (3 + 1)] expected_result = sorted(expected_result, key=lambda doc: (doc['name'])) self._verify_results(actual_result, expected_result) def test_arithm_and_like_exp(self): for query_bucket in self.query_buckets: self.query = "SELECT name from {0} WHERE job_title LIKE 'S%' = TRUE".format(query_bucket) actual_result = self.run_cbq_query() actual_result = sorted(actual_result['results'], key=lambda doc: ( doc['name'])) expected_result = [{"name": doc['name']} for doc in self.full_list if doc['job_title'].startswith('S')] expected_result = sorted(expected_result, key=lambda doc: (doc['name'])) self._verify_results(actual_result, expected_result) def test_logic_exp(self): for query_bucket in self.query_buckets: self.query = "SELECT name, join_mo from %s WHERE NOT join_mo>10 AND" % query_bucket + \ " job_title='Sales' OR join_mo<2" actual_result = self.run_cbq_query() actual_result = sorted(actual_result['results'], key=lambda doc: ( doc['name'], doc['join_mo'])) expected_result = [{"name": doc['name'], "join_mo": doc['join_mo']} for doc in self.full_list if ((not (doc['join_mo'] > 10)) and doc['job_title'] == 'Sales') or (doc['join_mo'] < 2)] expected_result = sorted(expected_result, key=lambda doc: (doc['name'], doc['join_mo'])) self._verify_results(actual_result, expected_result) self.query = "SELECT DISTINCT email from %s WHERE NOT join_mo<10 OR join_mo<2" % query_bucket actual_result = self.run_cbq_query() actual_result = sorted(actual_result['results'], key=lambda doc: ( doc['email'])) expected_result = [{"email": doc['email']} for doc in self.full_list if (not (doc['join_mo'] < 10)) or (doc['join_mo'] < 2)] expected_result = [dict(y) for y in set(tuple(x.items()) for x in expected_result)] expected_result = sorted(expected_result, key=lambda doc: (doc['email'])) self._verify_results(actual_result, expected_result) def test_prepared_logic_exp(self): for query_bucket in self.query_buckets: self.query = "SELECT name, join_mo from %s WHERE NOT join_mo>10 AND" % query_bucket + \ " job_title='Sales' OR join_mo<2" self.prepared_common_body() def test_logic_exp_nulls(self): for query_bucket in self.query_buckets: self.query = "SELECT name, join_mo from %s WHERE NOT join_mo IS NULL" % query_bucket actual_result = self.run_cbq_query() actual_result = sorted(actual_result['results'], key=lambda doc: ( doc['name'], doc['join_mo'])) expected_result = [{"name": doc['name'], "join_mo": doc['join_mo']} for doc in self.full_list] expected_result = sorted(expected_result, key=lambda doc: (doc['name'], doc['join_mo'])) self._verify_results(actual_result, expected_result)

59.313253

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0.537579

1,153

9,846

4.360798

0.082394

0.058473

0.03401

0.053699

0.920247

0.899364

0.855807

0.794948

0.788584

0.783413

0

0.012879

0.329677

9,846

165

119

59.672727

0.748939

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0

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0

0.100671

0

null

0

1

0

null

0

6

9679718c0bcfbb95980fb915ce154495710d42b0

7,399

py

Python

dnacentercli/cli/v1_2_10/networks.py

AltusConsulting/dnacentercli

26ea46fdbd40fc30649ea1d8803158655aa545aa

[ "MIT" ]

null

dnacentercli/cli/v1_2_10/networks.py

AltusConsulting/dnacentercli

26ea46fdbd40fc30649ea1d8803158655aa545aa

[ "MIT" ]

null

dnacentercli/cli/v1_2_10/networks.py

AltusConsulting/dnacentercli

26ea46fdbd40fc30649ea1d8803158655aa545aa

[ "MIT" ]

null

# -*- coding: utf-8 -*- import click import json from ..utils.spinner import ( init_spinner, start_spinner, stop_spinner, ) from ..utils.print import ( tbprint, eprint, oprint, opprint, ) @click.group() @click.pass_obj @click.pass_context def networks(ctx, obj): """DNA Center Networks API (version: 1.2.10). Wraps the DNA Center Networks API and exposes the API as native Python commands. """ ctx.obj = obj.networks @networks.command() @click.option('--headers', type=str, help='''Dictionary of HTTP Headers to send with the Request.''', default=None, show_default=True) @click.option('-pp', '--pretty_print', type=int, help='''Pretty print indent''', default=None, show_default=True) @click.option('--beep', is_flag=True, help='''Spinner beep (on)''') @click.pass_obj def get_vlan_details(obj, pretty_print, beep, headers): """Returns the list of VLAN names. """ spinner = init_spinner(beep=beep) start_spinner(spinner) try: if headers is not None: headers = json.loads(headers) result = obj.get_vlan_details( headers=headers) stop_spinner(spinner) opprint(result, indent=pretty_print) except Exception as e: stop_spinner(spinner) tbprint() eprint('Error:', e) click.Context.exit(-1) @networks.command() @click.option('--headers', type=str, help='''Dictionary of HTTP Headers to send with the Request.''', default=None, show_default=True) @click.option('-pp', '--pretty_print', type=int, help='''Pretty print indent''', default=None, show_default=True) @click.option('--beep', is_flag=True, help='''Spinner beep (on)''') @click.pass_obj def get_site_topology(obj, pretty_print, beep, headers): """Returns site topology. """ spinner = init_spinner(beep=beep) start_spinner(spinner) try: if headers is not None: headers = json.loads(headers) result = obj.get_site_topology( headers=headers) stop_spinner(spinner) opprint(result, indent=pretty_print) except Exception as e: stop_spinner(spinner) tbprint() eprint('Error:', e) click.Context.exit(-1) @networks.command() @click.option('--node_type', type=str, help='''nodeType query parameter.''', show_default=True) @click.option('--headers', type=str, help='''Dictionary of HTTP Headers to send with the Request.''', default=None, show_default=True) @click.option('-pp', '--pretty_print', type=int, help='''Pretty print indent''', default=None, show_default=True) @click.option('--beep', is_flag=True, help='''Spinner beep (on)''') @click.pass_obj def get_physical_topology(obj, pretty_print, beep, node_type, headers): """Returns the raw physical topology by specified criteria of nodeType. """ spinner = init_spinner(beep=beep) start_spinner(spinner) try: if headers is not None: headers = json.loads(headers) result = obj.get_physical_topology( node_type=node_type, headers=headers) stop_spinner(spinner) opprint(result, indent=pretty_print) except Exception as e: stop_spinner(spinner) tbprint() eprint('Error:', e) click.Context.exit(-1) @networks.command() @click.option('--topology_type', type=str, help='''Type of topology(OSPF,ISIS,etc).''', required=True, show_default=True) @click.option('--headers', type=str, help='''Dictionary of HTTP Headers to send with the Request.''', default=None, show_default=True) @click.option('-pp', '--pretty_print', type=int, help='''Pretty print indent''', default=None, show_default=True) @click.option('--beep', is_flag=True, help='''Spinner beep (on)''') @click.pass_obj def get_l3_topology_details(obj, pretty_print, beep, topology_type, headers): """Returns the Layer 3 network topology by routing protocol. """ spinner = init_spinner(beep=beep) start_spinner(spinner) try: if headers is not None: headers = json.loads(headers) result = obj.get_l3_topology_details( topology_type=topology_type, headers=headers) stop_spinner(spinner) opprint(result, indent=pretty_print) except Exception as e: stop_spinner(spinner) tbprint() eprint('Error:', e) click.Context.exit(-1) @networks.command() @click.option('--vlan_id', type=str, help='''Vlan Name for e.g Vlan1, Vlan23 etc.''', required=True, show_default=True) @click.option('--headers', type=str, help='''Dictionary of HTTP Headers to send with the Request.''', default=None, show_default=True) @click.option('-pp', '--pretty_print', type=int, help='''Pretty print indent''', default=None, show_default=True) @click.option('--beep', is_flag=True, help='''Spinner beep (on)''') @click.pass_obj def get_topology_details(obj, pretty_print, beep, vlan_id, headers): """Returns Layer 2 network topology by specified VLAN ID. """ spinner = init_spinner(beep=beep) start_spinner(spinner) try: if headers is not None: headers = json.loads(headers) result = obj.get_topology_details( vlan_id=vlan_id, headers=headers) stop_spinner(spinner) opprint(result, indent=pretty_print) except Exception as e: stop_spinner(spinner) tbprint() eprint('Error:', e) click.Context.exit(-1) @networks.command() @click.option('--timestamp', type=str, help='''Epoch time(in milliseconds) when the Network health data is required.''', show_default=True) @click.option('--headers', type=str, help='''Dictionary of HTTP Headers to send with the Request.''', default=None, show_default=True) @click.option('-pp', '--pretty_print', type=int, help='''Pretty print indent''', default=None, show_default=True) @click.option('--beep', is_flag=True, help='''Spinner beep (on)''') @click.pass_obj def get_overall_network_health(obj, pretty_print, beep, timestamp, headers): """Returns Overall Network Health information by Device category (Access, Distribution, Core, Router, Wireless) for any given point of time. """ spinner = init_spinner(beep=beep) start_spinner(spinner) try: if headers is not None: headers = json.loads(headers) result = obj.get_overall_network_health( timestamp=timestamp, headers=headers) stop_spinner(spinner) opprint(result, indent=pretty_print) except Exception as e: stop_spinner(spinner) tbprint() eprint('Error:', e) click.Context.exit(-1)

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0

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0

1

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null

0

6

96917dfba98f97f5da1092af6c08046251e5be46

194

py

Python

lithops/libs/cloudpickle/__init__.py

gfinol/lithops

e165a78e0facbb70c852d7627a7407e8a8d1b946

[ "Apache-2.0" ]

null

lithops/libs/cloudpickle/__init__.py

gfinol/lithops

e165a78e0facbb70c852d7627a7407e8a8d1b946

[ "Apache-2.0" ]

null

lithops/libs/cloudpickle/__init__.py

gfinol/lithops

e165a78e0facbb70c852d7627a7407e8a8d1b946

[ "Apache-2.0" ]

null

import sys if sys.version_info < (3, 8): from .cloudpickle import CloudPickler __version__ = '1.2.2' else: from .cloudpickle_160_fast import CloudPickler __version__ = '1.6.0'

19.4

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null

0

1

0

6

739d6fe612a5d6db62bcea3b0fd24fba95ddda83

58

py

Python

sample/pytest/tests/submodule/test_nesting.py

mohit-cyberstar/cricket

cfe08c4ea2419f3ac746eea23680dc1a7883eb22

[ "BSD-3-Clause" ]

98

2015-05-28T10:41:52.000Z

2019-03-08T09:14:35.000Z

sample/pytest/tests/submodule/test_nesting.py

SujeetGautam/cricket

1476b597f499c1b9b34c9d21eeef0b4900892760

[ "BSD-3-Clause" ]

33

2015-02-11T12:39:55.000Z

2019-03-29T23:23:00.000Z

sample/pytest/tests/submodule/test_nesting.py

SujeetGautam/cricket

1476b597f499c1b9b34c9d21eeef0b4900892760

[ "BSD-3-Clause" ]

49

2015-03-25T05:55:14.000Z

2019-03-23T15:30:38.000Z

def test_stuff(): pass def test_things(): pass

7.25

18

0.603448

8

58

4.125

0.625

0.424242

0

0.293103

58

7

19

8.285714

0.804878

0

0.5

0

1

0.5

true

0.5

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0

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null

1

0

1

0

null

0

1

0

6

fb9acccc8706b5a3131b8f3a3d6346d8cc34210c

1,388

py

Python

test/container/test_php_dev.py

renatomefi/docker-php

d319d34ef46902907cd4f32080a70aafaecf0e42

[ "MIT" ]

null

test/container/test_php_dev.py

renatomefi/docker-php

d319d34ef46902907cd4f32080a70aafaecf0e42

[ "MIT" ]

null

test/container/test_php_dev.py

renatomefi/docker-php

d319d34ef46902907cd4f32080a70aafaecf0e42

[ "MIT" ]

null

import pytest @pytest.mark.php_dev def test_configuration_is_present(host): assert host.file('/usr/local/etc/php/conf.d/zzz_xdebug.ini').exists is True assert host.file('/usr/local/etc/php/conf.d/zzz_dev.ini').exists is True @pytest.mark.php_dev def test_configuration_is_effective(host): configuration = host.run('php -i').stdout assert u'expose_php => On => On' in configuration @pytest.mark.php_dev def test_xdebug_is_loaded(host): assert 'Xdebug' in host.run('php -m').stdout @pytest.mark.php_no_dev def test_configuration_is_not_present(host): assert host.file('/usr/local/etc/php/conf.d/zzz_xdebug.ini').exists is False assert host.file('/usr/local/etc/php/conf.d/zzz_dev.ini').exists is False @pytest.mark.php_no_dev def test_configuration_is_not_effective(host): configuration = host.run('php -i').stdout assert u'expose_php => Off => Off' in configuration @pytest.mark.php_no_dev def test_xdebug_is_not_loaded(host): assert 'Xdebug' not in host.run('php -m').stdout @pytest.mark.php_dev def test_php_meminfo_is_enabled(host): output = host.run('php -r "exit(function_exists(\'meminfo_dump\') ? 0 : 255);"') assert output.rc == 0 @pytest.mark.php_no_dev def test_php_meminfo_is_not_enabled(host): output = host.run('php -r "exit(function_exists(\'meminfo_dump\') ? 0 : 255);"') assert output.rc == 255

33.047619

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0.660063

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1,388

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0.258065

false

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0.290323

0

null

0

1

0

1

0

null

0

1

0

6

fbbc14cd4655e2c2d27159e2eda5aa0b3858b5a6

48

py

Python

ansa/__init__.py

Iskandar-Ki/AnsaRSS

00e4c49114ba54078528967d8ddb0bf3efa9187e

[ "Unlicense" ]

1

2018-09-19T09:26:34.000Z

ansa/__init__.py

Iskandar-Ki/AnsaRSS

00e4c49114ba54078528967d8ddb0bf3efa9187e

[ "Unlicense" ]

null

ansa/__init__.py

Iskandar-Ki/AnsaRSS

00e4c49114ba54078528967d8ddb0bf3efa9187e

[ "Unlicense" ]

null

from .ansa import Ansa from .constants import *

16

24

0.770833

7

48

5.285714

0.571429

0

0.166667

48

2

25

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0.925

0

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0

true

0

1

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1

0

1

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null

0

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null

0

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1

0

1

0

6

fbbc66fffe64482a0ac00eff4ca15d97f82cf3f8

72

py

Python

models/__init__.py

tsurumeso/chainer-desalinet

5e9b5813f718f31128cf7f7252b264204a2e8ec9

[ "MIT" ]

1

2018-01-22T05:52:50.000Z

models/__init__.py

tsurumeso/chainer-desalinet

5e9b5813f718f31128cf7f7252b264204a2e8ec9

[ "MIT" ]

null

models/__init__.py

tsurumeso/chainer-desalinet

5e9b5813f718f31128cf7f7252b264204a2e8ec9

[ "MIT" ]

null

from models.alex import Alex # NOQA from models.vgg import VGG # NOQA

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fbc8a3affcf704c3ea20969a037d699c0c022c88

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py

Python

vformer/models/classification/__init__.py

gchhablani/vformer

c7dc7d14e33aa5b2974667d281e7910e17538b34

[ "MIT" ]

null

vformer/models/classification/__init__.py

gchhablani/vformer

c7dc7d14e33aa5b2974667d281e7910e17538b34

[ "MIT" ]

null

vformer/models/classification/__init__.py

gchhablani/vformer

c7dc7d14e33aa5b2974667d281e7910e17538b34

[ "MIT" ]

null

from .vanilla import VanillaViT

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Python

src/genie/libs/parser/viptela/tests/test_show_omp.py

danielgraziano/genieparser

74d5e1ded9794561af1ac3284307c58365617673

[ "Apache-2.0" ]

4

2020-08-20T12:23:12.000Z

2021-06-15T14:10:02.000Z

src/genie/libs/parser/viptela/tests/test_show_omp.py

dalwar23/genieparser

a9df45d3ee23f107bfb55915068e90782f92fc99

[ "Apache-2.0" ]

119

2020-07-10T22:37:51.000Z

2021-03-18T02:40:05.000Z

src/genie/libs/parser/viptela/tests/test_show_omp.py

dalwar23/genieparser

a9df45d3ee23f107bfb55915068e90782f92fc99

[ "Apache-2.0" ]

2

2020-07-10T15:33:42.000Z

2021-04-05T09:48:56.000Z

import unittest from unittest.mock import Mock # ATS from pyats.topology import Device # Metaparset from genie.metaparser.util.exceptions import SchemaEmptyParserError,\ SchemaMissingKeyError # Parser from genie.libs.parser.viptela.show_omp import (ShowOmpSummary, ShowOmpTlocs, ShowOmpPeers, ShowOmpTlocPath ) # ============================================ # Parser for the following commands # * 'show bfd sessions' # ============================================ class TestShowOmpSummary(unittest.TestCase): device = Device(name='aDevice') maxDiff = None empty_output = {'execute.return_value' : ''} golden_output = {'execute.return_value': ''' #show sdwan omp summary oper-state UP admin-state UP personality vedge omp-uptime 34:03:00:35 routes-received 5 routes-installed 3 routes-sent 2 tlocs-received 3 tlocs-installed 2 tlocs-sent 1 services-received 3 services-installed 0 services-sent 3 mcast-routes-received 0 mcast-routes-installed 0 mcast-routes-sent 0 hello-sent 146344 hello-received 146337 handshake-sent 2 handshake-received 2 alert-sent 1 alert-received 0 inform-sent 16 inform-received 16 update-sent 79 update-received 157 policy-sent 0 policy-received 2 total-packets-sent 146442 total-packets-received 146514 vsmart-peers 1 '''} golden_parsed_output = { 'oper_state': 'UP', 'admin_state': 'UP', 'personality': 'vedge', 'omp_uptime': '34:03:00:35', 'routes_received': 5, 'routes_installed': 3, 'routes_sent': 2, 'tlocs_received': 3, 'tlocs_installed': 2, 'tlocs_sent': 1, 'services_received': 3, 'services_installed': 0, 'services_sent': 3, 'mcast_routes_received': 0, 'mcast_routes_sent': 0, 'hello_sent': 146344, 'hello_received': 146337, 'handshake_sent': 2, 'handshake_received': 2, 'alert_sent': 1, 'alert_received': 0, 'inform_sent': 16, 'inform_received': 16, 'update_sent': 79, 'update_received': 157, 'policy_sent': 0, 'policy_received': 2, 'total_packets_sent': 146442, 'vsmart_peers': 1} def test_empty(self): self.device = Mock(**self.empty_output) obj = ShowOmpSummary(device=self.device) with self.assertRaises(SchemaEmptyParserError): parsed_output = obj.parse() def test_golden(self): self.device = Mock(**self.golden_output) obj = ShowOmpSummary(device=self.device) parsed_output = obj.parse() #self.assertEqual(parsed_output,self.golden_parsed_output) self.assertDictEqual(parsed_output,self.golden_parsed_output) class TestShowOmpTlocPath(unittest.TestCase): device = Device(name='aDevice') maxDiff = None empty_output = {'execute.return_value' : ''} golden_output = {'execute.return_value': ''' show omp tloc-paths tloc-paths entries 10.220.100.10 default ipsec tloc-paths entries 10.220.100.20 default ipsec tloc-paths entries 10.220.100.30 default ipsec '''} golden_parsed_output = { 'tloc_path': { '10.220.100.10': { 'tloc': { 'default': { 'transport': 'ipsec' } } }, '10.220.100.20': { 'tloc': { 'default': { 'transport': 'ipsec' } } }, '10.220.100.30': { 'tloc': { 'default': { 'transport': 'ipsec' } } } } } def test_empty(self): self.device = Mock(**self.empty_output) obj = ShowOmpTlocPath(device=self.device) with self.assertRaises(SchemaEmptyParserError): parsed_output = obj.parse() def test_golden(self): self.device = Mock(**self.golden_output) obj = ShowOmpTlocPath(device=self.device) parsed_output = obj.parse() self.assertEqual(parsed_output,self.golden_parsed_output) #self.assertDictEqual(parsed_output,self.golden_parsed_output) class TestShowOmpPeers(unittest.TestCase): device = Device(name='aDevice') maxDiff = None empty_output = {'execute.return_value' : ''} golden_output = {'execute.return_value': ''' R -> routes received I -> routes installed S -> routes sent DOMAIN OVERLAY SITE PEER TYPE ID ID ID STATE UPTIME R/I/S ------------------------------------------------------------------------------------------ 10.4.1.4 vsmart 1 1 4 up 6:13:57:28 4/0/4 10.115.55.5 vedge 1 1 55 up 0:01:24:29 1/0/1 10.240.105.6 vedge 1 1 6 up 6:13:58:46 1/0/1 172.16.106.170 vedge 1 1 170 up 6:13:58:47 0/0/2 192.168.254.100 vedge 1 1 100 up 0:09:28:48 0/0/0 192.168.254.101 vedge 1 1 101 up 0:09:27:33 0/0/0 192.168.254.102 vedge 1 1 102 up 0:09:29:00 0/0/0 192.168.255.2 vedge 1 1 200 up 0:04:14:12 2/0/0 '''} golden_parsed_output = { 'peer': { '10.4.1.4': { 'type': 'vsmart', 'domain_id': 1, 'overlay_id': 1, 'site_id': 4, 'state': 'up', 'uptime': '6:13:57:28', 'route': { 'recv': 4, 'install': 0, 'sent': 4 } }, '10.115.55.5': { 'type': 'vedge', 'domain_id': 1, 'overlay_id': 1, 'site_id': 55, 'state': 'up', 'uptime': '0:01:24:29', 'route': { 'recv': 1, 'install': 0, 'sent': 1 } }, '10.240.105.6': { 'type': 'vedge', 'domain_id': 1, 'overlay_id': 1, 'site_id': 6, 'state': 'up', 'uptime': '6:13:58:46', 'route': { 'recv': 1, 'install': 0, 'sent': 1 } }, '172.16.106.170': { 'type': 'vedge', 'domain_id': 1, 'overlay_id': 1, 'site_id': 170, 'state': 'up', 'uptime': '6:13:58:47', 'route': { 'recv': 0, 'install': 0, 'sent': 2 } }, '192.168.254.100': { 'type': 'vedge', 'domain_id': 1, 'overlay_id': 1, 'site_id': 100, 'state': 'up', 'uptime': '0:09:28:48', 'route': { 'recv': 0, 'install': 0, 'sent': 0 } }, '192.168.254.101': { 'type': 'vedge', 'domain_id': 1, 'overlay_id': 1, 'site_id': 101, 'state': 'up', 'uptime': '0:09:27:33', 'route': { 'recv': 0, 'install': 0, 'sent': 0 } }, '192.168.254.102': { 'type': 'vedge', 'domain_id': 1, 'overlay_id': 1, 'site_id': 102, 'state': 'up', 'uptime': '0:09:29:00', 'route': { 'recv': 0, 'install': 0, 'sent': 0 } }, '192.168.255.2': { 'type': 'vedge', 'domain_id': 1, 'overlay_id': 1, 'site_id': 200, 'state': 'up', 'uptime': '0:04:14:12', 'route': { 'recv': 2, 'install': 0, 'sent': 0 } } } } def test_empty(self): self.device = Mock(**self.empty_output) obj = ShowOmpPeers(device=self.device) with self.assertRaises(SchemaEmptyParserError): parsed_output = obj.parse() def test_golden(self): self.device = Mock(**self.golden_output) obj = ShowOmpPeers(device=self.device) parsed_output = obj.parse() self.assertEqual(parsed_output,self.golden_parsed_output) #self.assertDictEqual(parsed_output,self.golden_parsed_output) class TestShowOmpTlocs(unittest.TestCase): device = Device(name='aDevice') maxDiff = None empty_output = {'execute.return_value' : ''} golden_output = {'execute.return_value': ''' --------------------------------------------------- tloc entries for 10.220.100.10 default ipsec --------------------------------------------------- RECEIVED FROM: peer 0.0.0.0 status C,Red,R loss-reason not set lost-to-peer not set lost-to-path-id not set Attributes: attribute-type installed encap-key not set encap-proto 0 encap-spi 365 encap-auth sha1-hmac,ah-sha1-hmac encap-encrypt aes256 public-ip 10.66.12.2 public-port 12426 private-ip 10.66.12.2 private-port 12426 public-ip :: public-port 0 private-ip :: private-port 0 bfd-status up domain-id not set site-id 101 overlay-id not set preference 0 tag not set stale not set weight 1 version 3 gen-id 0x80000003 carrier default restrict 0 on-demand 0 groups [ 0 ] bandwidth 0 qos-group default-group border not set unknown-attr-len not set --------------------------------------------------- tloc entries for 10.220.100.20 default ipsec --------------------------------------------------- RECEIVED FROM: peer 10.220.100.3 status C,I,R loss-reason not set lost-to-peer not set lost-to-path-id not set Attributes: attribute-type installed encap-key not set encap-proto 0 encap-spi 355 encap-auth sha1-hmac,ah-sha1-hmac encap-encrypt aes256 public-ip 10.66.13.2 public-port 12426 private-ip 10.66.13.2 private-port 12426 public-ip :: public-port 0 private-ip :: private-port 0 bfd-status up domain-id not set site-id 102 overlay-id not set preference 0 tag not set stale not set weight 1 version 3 gen-id 0x80000011 carrier default restrict 0 on-demand 0 groups [ 0 ] bandwidth 0 qos-group default-group border not set unknown-attr-len not set --------------------------------------------------- tloc entries for 10.220.100.30 default ipsec --------------------------------------------------- RECEIVED FROM: peer 10.220.100.3 status C,I,R loss-reason not set lost-to-peer not set lost-to-path-id not set Attributes: attribute-type installed encap-key not set encap-proto 0 encap-spi 359 encap-auth sha1-hmac,ah-sha1-hmac encap-encrypt aes256 public-ip 10.229.11.10 public-port 12426 private-ip 10.229.11.10 private-port 12426 public-ip :: public-port 0 private-ip :: private-port 0 bfd-status up domain-id not set site-id 103 overlay-id not set preference 0 tag not set stale not set weight 1 version 3 gen-id 0x80000022 carrier default restrict 0 on-demand 0 groups [ 0 ] bandwidth 0 qos-group default-group border not set unknown-attr-len not set '''} golden_parsed_output = { 'tloc_data': { '10.220.100.10': { 'tloc': { 'default': { 'transport': 'ipsec', 'received_from': { 'peer': '0.0.0.0', 'status': ['C', 'Red', 'R'], 'loss_reason': 'not_set', 'lost_to_peer': 'not_set', 'lost_to_path_id': 'not_set', 'attributes': { 'attribute_type': 'installed', 'encap_key': 'not_set', 'encap_proto': 0, 'encap_spi': 365, 'encap_auth': ['sha1-hmac', 'ah-sha1-hmac'], 'encap_encrypt': 'aes256', 'public_ip': '::', 'public_port': 0, 'private_ip': '::', 'private_port': 0, 'bfd_status': 'up', 'site_id': 101, 'preference': 0, 'tag': 'not_set', 'stale': 'not_set', 'weight': 1, 'version': 3, 'gen_id': '0x80000003', 'carrier': 'default', 'restrict': 0, 'on_demand': 0, 'groups': [0], 'bandwidth': 0, 'qos_group': 'default_group', 'border': 'not_set', 'unknown_attr_len': 'not_set' } } } } }, '10.220.100.20': { 'tloc': { 'default': { 'transport': 'ipsec', 'received_from': { 'peer': '10.220.100.3', 'status': ['C', 'I', 'R'], 'loss_reason': 'not_set', 'lost_to_peer': 'not_set', 'lost_to_path_id': 'not_set', 'attributes': { 'attribute_type': 'installed', 'encap_key': 'not_set', 'encap_proto': 0, 'encap_spi': 355, 'encap_auth': ['sha1-hmac', 'ah-sha1-hmac'], 'encap_encrypt': 'aes256', 'public_ip': '::', 'public_port': 0, 'private_ip': '::', 'private_port': 0, 'bfd_status': 'up', 'site_id': 102, 'preference': 0, 'tag': 'not_set', 'stale': 'not_set', 'weight': 1, 'version': 3, 'gen_id': '0x80000011', 'carrier': 'default', 'restrict': 0, 'on_demand': 0, 'groups': [0], 'bandwidth': 0, 'qos_group': 'default_group', 'border': 'not_set', 'unknown_attr_len': 'not_set' } } } } }, '10.220.100.30': { 'tloc': { 'default': { 'transport': 'ipsec', 'received_from': { 'peer': '10.220.100.3', 'status': ['C', 'I', 'R'], 'loss_reason': 'not_set', 'lost_to_peer': 'not_set', 'lost_to_path_id': 'not_set', 'attributes': { 'attribute_type': 'installed', 'encap_key': 'not_set', 'encap_proto': 0, 'encap_spi': 359, 'encap_auth': ['sha1-hmac', 'ah-sha1-hmac'], 'encap_encrypt': 'aes256', 'public_ip': '::', 'public_port': 0, 'private_ip': '::', 'private_port': 0, 'bfd_status': 'up', 'site_id': 103, 'preference': 0, 'tag': 'not_set', 'stale': 'not_set', 'weight': 1, 'version': 3, 'gen_id': '0x80000022', 'carrier': 'default', 'restrict': 0, 'on_demand': 0, 'groups': [0], 'bandwidth': 0, 'qos_group': 'default_group', 'border': 'not_set', 'unknown_attr_len': 'not_set' } } } } } } } def test_empty(self): self.device = Mock(**self.empty_output) obj = ShowOmpTlocs(device=self.device) with self.assertRaises(SchemaEmptyParserError): parsed_output = obj.parse() def test_golden(self): self.device = Mock(**self.golden_output) obj = ShowOmpTlocs(device=self.device) parsed_output = obj.parse() self.assertEqual(parsed_output,self.golden_parsed_output) if __name__ == '__main__': unittest.main()

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83d731ea0e9550bd79f614d6f1d9896ac9f7e156

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py

Python

simy/__init__.py

faical-yannick-congo/similarity

4b447a69294e89eb573af16e1153ede0cbdb3b9e

[ "MIT" ]

null

simy/__init__.py

faical-yannick-congo/similarity

4b447a69294e89eb573af16e1153ede0cbdb3b9e

[ "MIT" ]

10

2019-05-01T13:50:30.000Z

2019-05-09T18:11:24.000Z

simy/__init__.py

faical-yannick-congo/similarity

4b447a69294e89eb573af16e1153ede0cbdb3b9e

[ "MIT" ]

2

2019-05-01T13:47:34.000Z

2019-05-01T14:03:52.000Z

from . import record

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83ee0af7612a812c3616da9b7125c0b74c9ffd44

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py

Python

tests/unit/test_charm.py

canonical/cos-proxy-operator

9009af012274106e218b47db9e96bdeee9bd4714

[ "Apache-2.0" ]

null

tests/unit/test_charm.py

canonical/cos-proxy-operator

9009af012274106e218b47db9e96bdeee9bd4714

[ "Apache-2.0" ]

6

2022-01-28T08:54:32.000Z

2022-03-21T12:43:09.000Z

tests/unit/test_charm.py

canonical/cos-proxy-operator

9009af012274106e218b47db9e96bdeee9bd4714

[ "Apache-2.0" ]

2

2021-09-15T10:25:24.000Z

2021-11-24T18:59:07.000Z

# Copyright 2021 Canonical Ltd. # # 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. # # Learn more at: https://juju.is/docs/sdk # Learn more about testing at: https://juju.is/docs/sdk/testing import base64 import json import lzma import unittest import uuid from unittest.mock import patch from ops.model import BlockedStatus from ops.testing import Harness from charm import COSProxyCharm ALERT_RULE_1 = """- alert: CPU_Usage expr: cpu_usage_idle{is_container!=\"True\", group=\"promoagents-juju\"} < 10 for: 5m labels: override_group_by: host severity: page cloud: juju annotations: description: | Host {{ $labels.host }} has had < 10% idle cpu for the last 5m summary: Host {{ $labels.host }} CPU free is less than 10% """ ALERT_RULE_2 = """- alert: DiskFull expr: disk_free{is_container!=\"True\", fstype!~\".*tmpfs|squashfs|overlay\"} <1024 for: 5m labels: override_group_by: host severity: page annotations: description: | Host {{ $labels.host}} {{ $labels.path }} is full summary: Host {{ $labels.host }} {{ $labels.path}} is full """ RELABEL_INSTANCE_CONFIG = { "source_labels": [ "juju_model", "juju_model_uuid", "juju_application", "juju_unit", ], "separator": "_", "target_label": "instance", "regex": "(.*)", } DASHBOARD_DUMMY_DATA_1 = { "request_12345678": json.dumps( { "dashboard": { "dashboard": { "__inputs": [ {"pluginName": "Prometheus"}, ], "templating": { "list": [ {"datasource": "Juju data"}, ], }, "panels": {"data": "some_data_to_hash_across"}, }, }, } ) } DUMMY_FIXED_1 = { "charm": "dashboard-app-1", "content": '{"__inputs": [], "templating": {"list": [{"datasource": ' '"${prometheusds}"}]}, "panels": {"data": ' '"some_data_to_hash_across"}}', "juju_topology": { "application": "dashboard-app-1", "model": "testmodel", "model_uuid": "1234567890", "unit": "dashboard-app-1/0", }, } DASHBOARD_DUMMY_DATA_2 = { "request_87654321": json.dumps( { "dashboard": { "dashboard": { "templating": { "list": [ {"name": "host"}, ], }, "panels": {"data": "different_enough_to_rehash"}, }, }, } ) } DUMMY_FIXED_2 = { "charm": "dashboard-app-2", "content": '{"templating": {"list": [{"allValue": null, "datasource": ' '"${prometheusds}", "definition": ' '"label_values(up{juju_model=\\"$juju_model\\",juju_model_uuid=\\"$juju_model_uuid\\",juju_application=\\"$juju_application\\"},host)", ' '"description": null, "error": null, "hide": 0, "includeAll": ' 'false, "label": "hosts", "multi": true, "name": "host", ' '"options": [], "query": {"query": ' '"label_values(up{juju_model=\\"$juju_model\\",juju_model_uuid=\\"$juju_model_uuid\\",juju_application=\\"$juju_application\\"},host)", ' '"refId": "StandardVariableQuery"}, "refresh": 1, "regex": "", ' '"skipUrlSync": false, "sort": 1, "tagValuesQuery": "", "tags": ' '[], "tagsQuery": "", "type": "query", "useTags": false}]}, ' '"panels": {"data": "different_enough_to_rehash"}}', "juju_topology": { "application": "dashboard-app-2", "model": "testmodel", "model_uuid": "1234567890", "unit": "dashboard-app-2/0", }, } @patch.object(lzma, "compress", new=lambda x, *args, **kwargs: x) @patch.object(lzma, "decompress", new=lambda x, *args, **kwargs: x) @patch.object(uuid, "uuid4", new=lambda: "12345678") @patch.object(base64, "b64encode", new=lambda x: x) @patch.object(base64, "b64decode", new=lambda x: x) class COSProxyCharmTest(unittest.TestCase): def setUp(self): self.harness = Harness(COSProxyCharm) self.harness.set_model_info(name="testmodel", uuid="1234567890") self.addCleanup(self.harness.cleanup) self.harness.begin() def test_scrape_target_relation_without_downstream_prometheus_blocks(self): self.harness.set_leader(True) rel_id = self.harness.add_relation("prometheus-target", "target-app") self.harness.add_relation_unit(rel_id, "target-app/0") self.harness.update_relation_data( rel_id, "target-app/0", { "hostname": "scrape_target_0", "port": "1234", }, ) self.assertEqual( self.harness.model.unit.status, BlockedStatus("Missing one of (Prometheus|target|nrpe) relation(s)"), ) def test_prometheus_relation_without_scrape_target_blocks(self): self.harness.set_leader(True) downstream_rel_id = self.harness.add_relation( "downstream-prometheus-scrape", "cos-prometheus" ) self.harness.add_relation_unit(downstream_rel_id, "cos-prometheus/0") self.assertEqual( self.harness.model.unit.status, BlockedStatus("Missing one of (Prometheus|target|nrpe) relation(s)"), ) def test_grafana_relation_without_dashboards_blocks(self): self.harness.set_leader(True) downstream_rel_id = self.harness.add_relation( "downstream-grafana-dashboard", "cos-grafana" ) self.harness.add_relation_unit(downstream_rel_id, "cos-prometheus/0") self.assertEqual( self.harness.model.unit.status, BlockedStatus("Missing one of (Grafana|dashboard) relation(s)"), ) def test_dashboards_without_grafana_relations_blocks(self): self.harness.set_leader(True) downstream_rel_id = self.harness.add_relation("dashboards", "target-app") self.harness.add_relation_unit(downstream_rel_id, "cos-grafana/0") self.assertEqual( self.harness.model.unit.status, BlockedStatus("Missing one of (Grafana|dashboard) relation(s)"), ) def test_scrape_jobs_are_forwarded_on_adding_prometheus_then_targets(self): self.harness.set_leader(True) prometheus_rel_id = self.harness.add_relation( "downstream-prometheus-scrape", "cos-prometheus" ) self.harness.add_relation_unit(prometheus_rel_id, "cos-prometheus/0") target_rel_id = self.harness.add_relation("prometheus-target", "target-app") self.harness.add_relation_unit(target_rel_id, "target-app/0") self.harness.update_relation_data( target_rel_id, "target-app/0", { "hostname": "scrape_target_0", "port": "1234", }, ) prometheus_rel_data = self.harness.get_relation_data( prometheus_rel_id, self.harness.model.app.name ) scrape_jobs = json.loads(prometheus_rel_data.get("scrape_jobs", "[]")) expected_jobs = [ { "job_name": "juju_testmodel_1234567_target-app_prometheus_scrape", "static_configs": [ { "targets": ["scrape_target_0:1234"], "labels": { "juju_model": "testmodel", "juju_model_uuid": "1234567890", "juju_application": "target-app", "juju_unit": "target-app/0", "host": "scrape_target_0", }, } ], "relabel_configs": [RELABEL_INSTANCE_CONFIG], } ] self.assertListEqual(scrape_jobs, expected_jobs) def test_scrape_jobs_are_forwarded_on_adding_targets_then_prometheus(self): self.harness.set_leader(True) target_rel_id = self.harness.add_relation("prometheus-target", "target-app") self.harness.add_relation_unit(target_rel_id, "target-app/0") self.harness.update_relation_data( target_rel_id, "target-app/0", { "hostname": "scrape_target_0", "port": "1234", }, ) prometheus_rel_id = self.harness.add_relation( "downstream-prometheus-scrape", "cos-prometheus" ) self.harness.add_relation_unit(prometheus_rel_id, "cos-prometheus/0") prometheus_rel_data = self.harness.get_relation_data( prometheus_rel_id, self.harness.model.app.name ) scrape_jobs = json.loads(prometheus_rel_data.get("scrape_jobs", "[]")) expected_jobs = [ { "job_name": "juju_testmodel_1234567_target-app_prometheus_scrape", "static_configs": [ { "targets": ["scrape_target_0:1234"], "labels": { "juju_model": "testmodel", "juju_model_uuid": "1234567890", "juju_application": "target-app", "juju_unit": "target-app/0", "host": "scrape_target_0", }, } ], "relabel_configs": [RELABEL_INSTANCE_CONFIG], } ] self.assertListEqual(scrape_jobs, expected_jobs) def test_alert_rules_are_forwarded_on_adding_prometheus_then_targets(self): self.harness.set_leader(True) prometheus_rel_id = self.harness.add_relation( "downstream-prometheus-scrape", "cos-prometheus" ) self.harness.add_relation_unit(prometheus_rel_id, "cos-prometheus/0") alert_rules_rel_id = self.harness.add_relation("prometheus-rules", "rules-app") self.harness.add_relation_unit(alert_rules_rel_id, "rules-app/0") self.harness.update_relation_data( alert_rules_rel_id, "rules-app/0", {"groups": ALERT_RULE_1}, ) prometheus_rel_data = self.harness.get_relation_data( prometheus_rel_id, self.harness.model.app.name ) alert_rules = json.loads(prometheus_rel_data.get("alert_rules", "{}")) groups = alert_rules.get("groups", []) self.assertEqual(len(groups), 1) group = groups[0] expected_group = { "name": "juju_testmodel_1234567_rules-app_alert_rules", "rules": [ { "alert": "CPU_Usage", "expr": 'cpu_usage_idle{is_container!="True", group="promoagents-juju"} < 10', "for": "5m", "labels": { "override_group_by": "host", "severity": "page", "cloud": "juju", "juju_model": "testmodel", "juju_model_uuid": "1234567", "juju_application": "rules-app", "juju_unit": "rules-app/0", }, "annotations": { "description": "Host {{ $labels.host }} has had < 10% idle cpu for the last 5m\n", "summary": "Host {{ $labels.host }} CPU free is less than 10%", }, } ], } self.assertDictEqual(group, expected_group) def test_alert_rules_are_forwarded_on_adding_targets_then_prometheus(self): self.harness.set_leader(True) alert_rules_rel_id = self.harness.add_relation("prometheus-rules", "rules-app") self.harness.add_relation_unit(alert_rules_rel_id, "rules-app/0") self.harness.update_relation_data( alert_rules_rel_id, "rules-app/0", {"groups": ALERT_RULE_1}, ) prometheus_rel_id = self.harness.add_relation( "downstream-prometheus-scrape", "cos-prometheus" ) self.harness.add_relation_unit(prometheus_rel_id, "cos-prometheus/0") prometheus_rel_data = self.harness.get_relation_data( prometheus_rel_id, self.harness.model.app.name ) alert_rules = json.loads(prometheus_rel_data.get("alert_rules", "{}")) groups = alert_rules.get("groups", []) self.assertEqual(len(groups), 1) group = groups[0] expected_group = { "name": "juju_testmodel_1234567_rules-app_alert_rules", "rules": [ { "alert": "CPU_Usage", "expr": 'cpu_usage_idle{is_container!="True", group="promoagents-juju"} < 10', "for": "5m", "labels": { "override_group_by": "host", "severity": "page", "cloud": "juju", "juju_model": "testmodel", "juju_model_uuid": "1234567", "juju_application": "rules-app", "juju_unit": "rules-app/0", }, "annotations": { "description": "Host {{ $labels.host }} has had < 10% idle cpu for the last 5m\n", "summary": "Host {{ $labels.host }} CPU free is less than 10%", }, } ], } self.assertDictEqual(group, expected_group) def test_multiple_scrape_jobs_are_forwarded(self): self.harness.set_leader(True) prometheus_rel_id = self.harness.add_relation( "downstream-prometheus-scrape", "cos-prometheus" ) self.harness.add_relation_unit(prometheus_rel_id, "cos-prometheus/0") target_rel_id_1 = self.harness.add_relation("prometheus-target", "target-app-1") self.harness.add_relation_unit(target_rel_id_1, "target-app-1/0") self.harness.update_relation_data( target_rel_id_1, "target-app-1/0", { "hostname": "scrape_target_0", "port": "1234", }, ) target_rel_id_2 = self.harness.add_relation("prometheus-target", "target-app-2") self.harness.add_relation_unit(target_rel_id_2, "target-app-2/0") self.harness.update_relation_data( target_rel_id_2, "target-app-2/0", { "hostname": "scrape_target_1", "port": "5678", }, ) prometheus_rel_data = self.harness.get_relation_data( prometheus_rel_id, self.harness.model.app.name ) scrape_jobs = json.loads(prometheus_rel_data.get("scrape_jobs", "[]")) self.assertEqual(len(scrape_jobs), 2) expected_jobs = [ { "job_name": "juju_testmodel_1234567_target-app-1_prometheus_scrape", "static_configs": [ { "targets": ["scrape_target_0:1234"], "labels": { "juju_model": "testmodel", "juju_model_uuid": "1234567890", "juju_application": "target-app-1", "juju_unit": "target-app-1/0", "host": "scrape_target_0", }, } ], "relabel_configs": [RELABEL_INSTANCE_CONFIG], }, { "job_name": "juju_testmodel_1234567_target-app-2_prometheus_scrape", "static_configs": [ { "targets": ["scrape_target_1:5678"], "labels": { "juju_model": "testmodel", "juju_model_uuid": "1234567890", "juju_application": "target-app-2", "juju_unit": "target-app-2/0", "host": "scrape_target_1", }, } ], "relabel_configs": [RELABEL_INSTANCE_CONFIG], }, ] self.assertListEqual(scrape_jobs, expected_jobs) def test_multiple_alert_rules_are_forwarded(self): self.harness.set_leader(True) prometheus_rel_id = self.harness.add_relation( "downstream-prometheus-scrape", "cos-prometheus" ) self.harness.add_relation_unit(prometheus_rel_id, "cos-prometheus/0") alert_rules_rel_id_1 = self.harness.add_relation("prometheus-rules", "rules-app-1") self.harness.add_relation_unit(alert_rules_rel_id_1, "rules-app-1/0") self.harness.update_relation_data( alert_rules_rel_id_1, "rules-app-1/0", {"groups": ALERT_RULE_1}, ) alert_rules_rel_id_2 = self.harness.add_relation("prometheus-rules", "rules-app-2") self.harness.add_relation_unit(alert_rules_rel_id_2, "rules-app-2/0") self.harness.update_relation_data( alert_rules_rel_id_2, "rules-app-2/0", {"groups": ALERT_RULE_2}, ) prometheus_rel_data = self.harness.get_relation_data( prometheus_rel_id, self.harness.model.app.name ) alert_rules = json.loads(prometheus_rel_data.get("alert_rules", "{}")) groups = alert_rules.get("groups", []) self.assertEqual(len(groups), 2) expected_groups = [ { "name": "juju_testmodel_1234567_rules-app-1_alert_rules", "rules": [ { "alert": "CPU_Usage", "expr": 'cpu_usage_idle{is_container!="True", group="promoagents-juju"} < 10', "for": "5m", "labels": { "override_group_by": "host", "severity": "page", "cloud": "juju", "juju_model": "testmodel", "juju_model_uuid": "1234567", "juju_application": "rules-app-1", "juju_unit": "rules-app-1/0", }, "annotations": { "description": "Host {{ $labels.host }} has had < 10% idle cpu for the last 5m\n", "summary": "Host {{ $labels.host }} CPU free is less than 10%", }, } ], }, { "name": "juju_testmodel_1234567_rules-app-2_alert_rules", "rules": [ { "alert": "DiskFull", "expr": 'disk_free{is_container!="True", fstype!~".*tmpfs|squashfs|overlay"} <1024', "for": "5m", "labels": { "override_group_by": "host", "severity": "page", "juju_model": "testmodel", "juju_model_uuid": "1234567", "juju_application": "rules-app-2", "juju_unit": "rules-app-2/0", }, "annotations": { "description": "Host {{ $labels.host}} {{ $labels.path }} is full\nsummary: Host {{ $labels.host }} {{ $labels.path}} is full\n" }, } ], }, ] self.assertListEqual(groups, expected_groups) def test_scrape_job_removal_differentiates_between_applications(self): self.harness.set_leader(True) prometheus_rel_id = self.harness.add_relation( "downstream-prometheus-scrape", "cos-prometheus" ) self.harness.add_relation_unit(prometheus_rel_id, "cos-prometheus/0") target_rel_id_1 = self.harness.add_relation("prometheus-target", "target-app-1") self.harness.add_relation_unit(target_rel_id_1, "target-app-1/0") self.harness.update_relation_data( target_rel_id_1, "target-app-1/0", { "hostname": "scrape_target_0", "port": "1234", }, ) target_rel_id_2 = self.harness.add_relation("prometheus-target", "target-app-2") self.harness.add_relation_unit(target_rel_id_2, "target-app-2/0") self.harness.update_relation_data( target_rel_id_2, "target-app-2/0", { "hostname": "scrape_target_1", "port": "5678", }, ) prometheus_rel_data = self.harness.get_relation_data( prometheus_rel_id, self.harness.model.app.name ) scrape_jobs = json.loads(prometheus_rel_data.get("scrape_jobs", "[]")) self.assertEqual(len(scrape_jobs), 2) self.harness.remove_relation_unit(target_rel_id_2, "target-app-2/0") scrape_jobs = json.loads(prometheus_rel_data.get("scrape_jobs", "[]")) self.assertEqual(len(scrape_jobs), 1) expected_jobs = [ { "job_name": "juju_testmodel_1234567_target-app-1_prometheus_scrape", "static_configs": [ { "targets": ["scrape_target_0:1234"], "labels": { "juju_model": "testmodel", "juju_model_uuid": "1234567890", "juju_application": "target-app-1", "juju_unit": "target-app-1/0", "host": "scrape_target_0", }, } ], "relabel_configs": [RELABEL_INSTANCE_CONFIG], } ] self.assertListEqual(scrape_jobs, expected_jobs) def test_alert_rules_removal_differentiates_between_applications(self): self.harness.set_leader(True) prometheus_rel_id = self.harness.add_relation( "downstream-prometheus-scrape", "cos-prometheus" ) self.harness.add_relation_unit(prometheus_rel_id, "cos-prometheus/0") alert_rules_rel_id_1 = self.harness.add_relation("prometheus-rules", "rules-app-1") self.harness.add_relation_unit(alert_rules_rel_id_1, "rules-app-1/0") self.harness.update_relation_data( alert_rules_rel_id_1, "rules-app-1/0", {"groups": ALERT_RULE_1}, ) alert_rules_rel_id_2 = self.harness.add_relation("prometheus-rules", "rules-app-2") self.harness.add_relation_unit(alert_rules_rel_id_2, "rules-app-2/0") self.harness.update_relation_data( alert_rules_rel_id_2, "rules-app-2/0", {"groups": ALERT_RULE_2}, ) prometheus_rel_data = self.harness.get_relation_data( prometheus_rel_id, self.harness.model.app.name ) alert_rules = json.loads(prometheus_rel_data.get("alert_rules", "{}")) groups = alert_rules.get("groups", []) self.assertEqual(len(groups), 2) self.harness.remove_relation_unit(alert_rules_rel_id_2, "rules-app-2/0") alert_rules = json.loads(prometheus_rel_data.get("alert_rules", "{}")) groups = alert_rules.get("groups", []) self.assertEqual(len(groups), 1) expected_groups = [ { "name": "juju_testmodel_1234567_rules-app-1_alert_rules", "rules": [ { "alert": "CPU_Usage", "expr": 'cpu_usage_idle{is_container!="True", group="promoagents-juju"} < 10', "for": "5m", "labels": { "override_group_by": "host", "severity": "page", "cloud": "juju", "juju_model": "testmodel", "juju_model_uuid": "1234567", "juju_application": "rules-app-1", "juju_unit": "rules-app-1/0", }, "annotations": { "description": "Host {{ $labels.host }} has had < 10% idle cpu for the last 5m\n", "summary": "Host {{ $labels.host }} CPU free is less than 10%", }, } ], }, ] self.assertListEqual(groups, expected_groups) def test_removing_scrape_jobs_differentiates_between_units(self): self.harness.set_leader(True) prometheus_rel_id = self.harness.add_relation( "downstream-prometheus-scrape", "cos-prometheus" ) self.harness.add_relation_unit(prometheus_rel_id, "cos-prometheus/0") target_rel_id = self.harness.add_relation("prometheus-target", "target-app") self.harness.add_relation_unit(target_rel_id, "target-app/0") self.harness.update_relation_data( target_rel_id, "target-app/0", { "hostname": "scrape_target_0", "port": "1234", }, ) self.harness.add_relation_unit(target_rel_id, "target-app/1") self.harness.update_relation_data( target_rel_id, "target-app/1", { "hostname": "scrape_target_1", "port": "5678", }, ) prometheus_rel_data = self.harness.get_relation_data( prometheus_rel_id, self.harness.model.app.name ) scrape_jobs = json.loads(prometheus_rel_data.get("scrape_jobs", "[]")) self.assertEqual(len(scrape_jobs), 1) self.assertEqual(len(scrape_jobs[0].get("static_configs")), 2) self.harness.remove_relation_unit(target_rel_id, "target-app/1") scrape_jobs = json.loads(prometheus_rel_data.get("scrape_jobs", "[]")) self.assertEqual(len(scrape_jobs), 1) self.assertEqual(len(scrape_jobs[0].get("static_configs")), 1) expected_jobs = [ { "job_name": "juju_testmodel_1234567_target-app_prometheus_scrape", "static_configs": [ { "targets": ["scrape_target_0:1234"], "labels": { "juju_model": "testmodel", "juju_model_uuid": "1234567890", "juju_application": "target-app", "juju_unit": "target-app/0", "host": "scrape_target_0", }, } ], "relabel_configs": [RELABEL_INSTANCE_CONFIG], } ] self.assertListEqual(scrape_jobs, expected_jobs) def test_removing_alert_rules_differentiates_between_units(self): self.harness.set_leader(True) prometheus_rel_id = self.harness.add_relation( "downstream-prometheus-scrape", "cos-prometheus" ) self.harness.add_relation_unit(prometheus_rel_id, "cos-prometheus/0") alert_rules_rel_id = self.harness.add_relation("prometheus-rules", "rules-app") self.harness.add_relation_unit(alert_rules_rel_id, "rules-app/0") self.harness.update_relation_data( alert_rules_rel_id, "rules-app/0", {"groups": ALERT_RULE_1}, ) self.harness.add_relation_unit(alert_rules_rel_id, "rules-app/1") self.harness.update_relation_data( alert_rules_rel_id, "rules-app/1", {"groups": ALERT_RULE_2}, ) prometheus_rel_data = self.harness.get_relation_data( prometheus_rel_id, self.harness.model.app.name ) alert_rules = json.loads(prometheus_rel_data.get("alert_rules", "{}")) groups = alert_rules.get("groups", []) self.assertEqual(len(groups), 1) self.harness.remove_relation_unit(alert_rules_rel_id, "rules-app/1") alert_rules = json.loads(prometheus_rel_data.get("alert_rules", "{}")) groups = alert_rules.get("groups", []) self.assertEqual(len(groups), 1) expected_groups = [ { "name": "juju_testmodel_1234567_rules-app_alert_rules", "rules": [ { "alert": "CPU_Usage", "expr": 'cpu_usage_idle{is_container!="True", group="promoagents-juju"} < 10', "for": "5m", "labels": { "override_group_by": "host", "severity": "page", "cloud": "juju", "juju_model": "testmodel", "juju_model_uuid": "1234567", "juju_application": "rules-app", "juju_unit": "rules-app/0", }, "annotations": { "description": "Host {{ $labels.host }} has had < 10% idle cpu for the last 5m\n", "summary": "Host {{ $labels.host }} CPU free is less than 10%", }, } ], }, ] self.assertListEqual(groups, expected_groups) def test_dashboard_are_forwarded(self): self.harness.set_leader(True) grafana_rel_id = self.harness.add_relation("downstream-grafana-dashboard", "cos-grafana") self.harness.add_relation_unit(grafana_rel_id, "cos-grafana/0") target_rel_id = self.harness.add_relation("dashboards", "dashboard-app") self.harness.add_relation_unit(target_rel_id, "dashboard-app/0") self.harness.update_relation_data(target_rel_id, "dashboard-app/0", DASHBOARD_DUMMY_DATA_1) grafana_rel_data = self.harness.get_relation_data( grafana_rel_id, self.harness.model.app.name ) dashboards = json.loads(grafana_rel_data.get("dashboards", "{}")) self.assertEqual(len(dashboards["templates"]), 1) def test_multiple_dashboards_are_forwarded(self): self.harness.set_leader(True) grafana_rel_id = self.harness.add_relation("downstream-grafana-dashboard", "cos-grafana") self.harness.add_relation_unit(grafana_rel_id, "cos-grafana/0") target_rel_id_1 = self.harness.add_relation("dashboards", "dashboard-app-1") self.harness.add_relation_unit(target_rel_id_1, "dashboard-app-1/0") self.harness.update_relation_data( target_rel_id_1, "dashboard-app-1/0", DASHBOARD_DUMMY_DATA_1 ) target_rel_id_2 = self.harness.add_relation("dashboards", "dashboard-app-2") self.harness.add_relation_unit(target_rel_id_2, "dashboard-app-2/0") self.harness.update_relation_data( target_rel_id_2, "dashboard-app-2/0", DASHBOARD_DUMMY_DATA_2 ) grafana_rel_data = self.harness.get_relation_data( grafana_rel_id, self.harness.model.app.name ) dashboards = json.loads(grafana_rel_data.get("dashboards", "{}")) self.assertEqual(len(dashboards["templates"]), 2) def test_dashboards_are_converted(self): self.harness.set_leader(True) grafana_rel_id = self.harness.add_relation("downstream-grafana-dashboard", "cos-grafana") self.harness.add_relation_unit(grafana_rel_id, "cos-grafana/0") target_rel_id_1 = self.harness.add_relation("dashboards", "dashboard-app-1") self.harness.add_relation_unit(target_rel_id_1, "dashboard-app-1/0") self.harness.update_relation_data( target_rel_id_1, "dashboard-app-1/0", DASHBOARD_DUMMY_DATA_1 ) target_rel_id_2 = self.harness.add_relation("dashboards", "dashboard-app-2") self.harness.add_relation_unit(target_rel_id_2, "dashboard-app-2/0") self.harness.update_relation_data( target_rel_id_2, "dashboard-app-2/0", DASHBOARD_DUMMY_DATA_2 ) grafana_rel_data = self.harness.get_relation_data( grafana_rel_id, self.harness.model.app.name ) dashboards = json.loads(grafana_rel_data.get("dashboards", "{}")) self.assertEqual(len(dashboards["templates"]), 2) self.maxDiff = None self.assertEqual(dashboards["templates"]["prog:e_data_t"], DUMMY_FIXED_1) self.assertEqual(dashboards["templates"]["prog:rent_eno"], DUMMY_FIXED_2)

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0.858656

0.838689

0.825591

0.807137

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null

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6

83eee7d0b946165bbcf5482d022e3ac5d0396b14

28

py

Python

diy_gym/__init__.py

ktlichkid/diy-gym

8783f15e2cb203829f0f1e1eac06c3310065e7f9

[ "MIT" ]

22

2019-07-22T11:56:57.000Z

2022-01-07T09:16:20.000Z

diy_gym/__init__.py

ktlichkid/diy-gym

8783f15e2cb203829f0f1e1eac06c3310065e7f9

[ "MIT" ]

6

2019-08-05T00:55:16.000Z

2021-03-11T19:45:23.000Z

diy_gym/__init__.py

ktlichkid/diy-gym

8783f15e2cb203829f0f1e1eac06c3310065e7f9

[ "MIT" ]

5

2019-07-29T00:56:51.000Z

2021-01-22T19:16:09.000Z

from .diy_gym import DIYGym

14

27

0.821429

5

28

4.4

1

0

0.142857

28

1

28

0.916667

0

1

0

true

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1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

83f95247bfc5263c05c066194c4ec7a6a4139788

148

py

Python

frappe/patches/v11_0/get_docs_apps_if_not_present.py

AKedar21/frappe

4c9ce1701caea07e595f81414af3a9f219cccb65

[ "MIT" ]

2

2017-08-24T20:25:13.000Z

2017-10-15T13:14:31.000Z

frappe/patches/v11_0/get_docs_apps_if_not_present.py

AKedar21/frappe

4c9ce1701caea07e595f81414af3a9f219cccb65

[ "MIT" ]

89

2017-09-19T15:17:44.000Z

2022-03-31T00:52:42.000Z

frappe/patches/v11_0/get_docs_apps_if_not_present.py

AKedar21/frappe

4c9ce1701caea07e595f81414af3a9f219cccb65

[ "MIT" ]

3

2019-08-09T17:52:18.000Z

2020-07-29T08:23:46.000Z

import frappe from frappe.utils.help import setup_apps_for_docs def execute(): for app in frappe.get_installed_apps(): setup_apps_for_docs(app)

21.142857

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0

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f7bfcd0f35c9a82c9fe7420add22a8f45b10c218

24

py

Python

python/testData/psi/FStringTerminatedByLineBreakInNestedExpressionInFormatPart.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/psi/FStringTerminatedByLineBreakInNestedExpressionInFormatPart.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/psi/FStringTerminatedByLineBreakInNestedExpressionInFormatPart.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

s = f"{f'{42:{1 + 2}}'}"

12

17

0.291667

6

24

1.166667

0.833333

0

0.2

0.166667

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2

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0

null

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1

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1

0

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0

null

0

1

0

6

f7f88134a2d2774c5cd6a84b20a1928fbeea771a

153

py

Python

sanjip/__init__.py

Sanji-IO/sanjip

5ab77263d8190f803f6f4bd063459873ac9bcabb

[ "MIT" ]

null

sanjip/__init__.py

Sanji-IO/sanjip

5ab77263d8190f803f6f4bd063459873ac9bcabb

[ "MIT" ]

1

2019-09-23T20:58:57.000Z

sanjip/__init__.py

Sanji-IO/sanjip

5ab77263d8190f803f6f4bd063459873ac9bcabb

[ "MIT" ]

1

2019-09-23T00:23:02.000Z

from __future__ import absolute_import import sanjip.ip as ip import sanjip.ip.addr import sanjip.ip.route # noqa: F401 __all__ = [ip.addr, ip.route]

19.125

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0.771242

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153

4.36

0.48

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0

0.022901

0.143791

153

7

39

21.857143

0.80916

0.065359

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0

1

0

null

0

1

0

1

0

6

f7fd5df126bc1afb609fc7078534d1b8c043c1b8

367

py

Python

spiketools/tests/utils/test_base.py

claire98han/SpikeTools

f1cdffd50e2cbdb75961a716425c4665aa930f54

[ "Apache-2.0" ]

1

2022-03-09T19:40:37.000Z

spiketools/tests/utils/test_base.py

claire98han/SpikeTools

f1cdffd50e2cbdb75961a716425c4665aa930f54

[ "Apache-2.0" ]

35

2021-09-28T15:13:31.000Z

2021-11-26T04:38:08.000Z

spiketools/tests/utils/test_base.py

claire98han/SpikeTools

f1cdffd50e2cbdb75961a716425c4665aa930f54

[ "Apache-2.0" ]

4

2021-09-28T14:56:24.000Z

2022-03-09T21:00:31.000Z

"""Tests for spiketools.utils.base""" from spiketools.utils.base import * ################################################################################################### ################################################################################################### def test_flatten(): lsts = [[1, 2], [3, 4]] assert flatten(lsts) == [1, 2, 3, 4]

30.583333

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0.27248

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367

3.96

0.64

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0.383838

0.262626

0.30303

0

0.024169

0.098093

367

11

100

33.363636

0.274924

0.084469

0

0.25

1

0.25

false

0

0.25

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

6

790dea0f54387804d817c82c1733143d3d140ea9

220

py

Python

filter_plugins/env_json_map.py

paulrbr-fl/ansible-clever

b731b96649a95825576060e8821e247b99aa8f2d

[ "MIT" ]

7

2020-10-12T16:25:30.000Z

2021-02-26T15:47:17.000Z

filter_plugins/env_json_map.py

paulrbr-fl/ansible-clever

b731b96649a95825576060e8821e247b99aa8f2d

[ "MIT" ]

1

2020-10-12T16:00:35.000Z

filter_plugins/env_json_map.py

paulrbr-fl/ansible-clever

b731b96649a95825576060e8821e247b99aa8f2d

[ "MIT" ]

2

2020-12-08T10:17:41.000Z

2021-06-03T09:32:49.000Z

#!/usr/bin/env python class FilterModule(object): def filters(self): return {'json_env_map': self.json_env_map} def json_env_map(self, env): return [{'name': k, 'value': str(v)} for k,v in env.items()]

24.444444

66

0.65

36

220

3.805556

0.583333

0.153285

0.218978

0.20438

0

0.177273

220

8

67

27.5

0.756906

0.090909

0

0.105528

0

1

0.4

false

0

0.4

1

0

null

0

1

0

1

0

null

0

1

0

1

0

6

793346b060087845a833c65f4c3392d21f0161bb

96

py

Python

venv/lib/python3.8/site-packages/cachy/stores/redis_store.py

Retraces/UkraineBot

3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71

[ "MIT" ]

2

2022-03-13T01:58:52.000Z

2022-03-31T06:07:54.000Z

venv/lib/python3.8/site-packages/cachy/stores/redis_store.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

19

2021-11-20T04:09:18.000Z

2022-03-23T15:05:55.000Z

venv/lib/python3.8/site-packages/cachy/stores/redis_store.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

null

/home/runner/.cache/pip/pool/d2/a1/cc/0c40d7c68d012303dad648eb48225a7854d38a969ba38c904d34b38afb

96

0.895833

9

96

9.555556

1

0

0.416667

0

96

1

96

0.479167

0

1

0

null

0

null

0

1

0

null

0

1

0

1

0

1

0

null

1

0

1

0

6

f7160d0ab638df715f56f4ffaaf4cc3e1943ef2c

1,835

py

Python

project/server/auth/wrapper.py

RaihanSabique/Flask-Restful-JWT-Auth

a6be0cc72d4f697ac3cdfa41551de9633f6feb35

[ "MIT" ]

null

project/server/auth/wrapper.py

RaihanSabique/Flask-Restful-JWT-Auth

a6be0cc72d4f697ac3cdfa41551de9633f6feb35

[ "MIT" ]

null

project/server/auth/wrapper.py

RaihanSabique/Flask-Restful-JWT-Auth

a6be0cc72d4f697ac3cdfa41551de9633f6feb35

[ "MIT" ]

null

import functools from flask import Flask, request, make_response, jsonify from flask_restful import Resource, Api, abort from project.server.models import User def login_required(method): @functools.wraps(method) def wrapper(self): auth_header = request.headers.get('Authorization') if auth_header: try: auth_token = auth_header.split(" ")[1] except IndexError: abort(400, message='Bearer token malformed.') else: auth_token = '' if auth_token: resp = User.decode_auth_token(auth_token) print(resp) if not isinstance(resp, str): user = User.query.filter_by(id=resp).first() if(user.is_active): return method(self, user) abort(400, message='Provide a valid auth token.') else: abort(400, message='No auth token') return wrapper def admin_required(method): @functools.wraps(method) def wrapper(self): auth_header = request.headers.get('Authorization') if auth_header: try: auth_token = auth_header.split(" ")[1] except IndexError: abort(400, message='Bearer token malformed.') else: auth_token = '' if auth_token: resp = User.decode_auth_token(auth_token) print(resp) if not isinstance(resp, str): user = User.query.filter_by(id=resp).first() if(user.admin): return method(self, user) else: abort(400, message='Admin required.') abort(400, message='Provide a valid auth token.') else: abort(400, message='No auth token') return wrapper

35.288462

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0.559128

202

1,835

4.955446

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0.104895

0.056943

0.767233

0

0.019151

0.345504

1,835

52

62

35.288462

0.814321

0

0.82

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0.092048

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0.08

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0

0.08

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0.24

0.04

0

null

0

1

0

1

0

null

0

6

f7748fb044ae244e7c7006a34dc0350d773f29bb

162

py

Python

pyro/infer/mcmc/__init__.py

fluffybird2323/pyro

9e74e499dbda76c28f12528235dac25bd17f0b1b

[ "MIT" ]

2

2019-01-26T01:53:31.000Z

2020-02-26T17:39:17.000Z

pyro/infer/mcmc/__init__.py

fluffybird2323/pyro

9e74e499dbda76c28f12528235dac25bd17f0b1b

[ "MIT" ]

1

2017-12-15T14:01:01.000Z

2017-12-17T03:09:06.000Z

pyro/infer/mcmc/__init__.py

fluffybird2323/pyro

9e74e499dbda76c28f12528235dac25bd17f0b1b

[ "MIT" ]

1

2018-10-02T18:50:33.000Z

from pyro.infer.mcmc.hmc import HMC from pyro.infer.mcmc.mcmc import MCMC from pyro.infer.mcmc.nuts import NUTS __all__ = [ "HMC", "MCMC", "NUTS", ]

16.2

37

0.67284

25

162

4.2

0.32

0.228571

0.371429

0.485714

0

0.197531

162

9

38

18

0.807692

0

0.067901

0

1

0

false

0

0.375

0

0.375

0

1

0

null

1

0

1

0

null

0

1

0

6

e391099078d0e93f329085a5789c325cb3fff32c

47

py

Python

models/__init__.py

rentainhe/Swin-Transformer

3405655613bd74eb837694f80eaaed4678b7f6fc

[ "MIT" ]

null

models/__init__.py

rentainhe/Swin-Transformer

3405655613bd74eb837694f80eaaed4678b7f6fc

[ "MIT" ]

null

models/__init__.py

rentainhe/Swin-Transformer

3405655613bd74eb837694f80eaaed4678b7f6fc

[ "MIT" ]

null

from .build import build_model, build_vit_model

47

0.87234

8

47

4.75

0.625

0

0.085106

47

1

47

0.883721

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

e3aa43b858cee759f67636336fec1f16461c431c

42

py

Python

sedldata/__init__.py

OpenDataServices/sedldata

c7f3b13969bb9c9a494a5fadf1456cc85e9bf2cc

[ "BSD-3-Clause" ]

null

sedldata/__init__.py

OpenDataServices/sedldata

c7f3b13969bb9c9a494a5fadf1456cc85e9bf2cc

[ "BSD-3-Clause" ]

null

sedldata/__init__.py

OpenDataServices/sedldata

c7f3b13969bb9c9a494a5fadf1456cc85e9bf2cc

[ "BSD-3-Clause" ]

1

2019-01-20T19:39:11.000Z

from sedldata.lib import Session # noqa

10.5

39

0.761905

6

42

5.333333

1

0

0.190476

42

3

40

14

0.941176

0.095238

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

e3de6128ad1c904dd3a9666b18ca38f18450812f

129

py

Python

django_file_form/migration.py

tonibagur/django-file-form

5c4d439aa4253907d4ce8b175511c02b19ca4878

[ "Apache-2.0" ]

null

django_file_form/migration.py

tonibagur/django-file-form

5c4d439aa4253907d4ce8b175511c02b19ca4878

[ "Apache-2.0" ]

null

django_file_form/migration.py

tonibagur/django-file-form

5c4d439aa4253907d4ce8b175511c02b19ca4878

[ "Apache-2.0" ]

null

from django.db import connection def table_exists(table_name): return table_name in connection.introspection.table_names()

21.5

63

0.813953

18

129

5.611111

0.722222

0.178218

0

0.124031

129

5

64

25.8

0.893805

0

1

0.333333

false

0

0.333333

1

0

1

0

null

0

1

0

null

0

1

0

1

0

6

e3f41e08bbe01aa86609397f3d4ed4931a9b184d

145

py

Python

apps/search/forms.py

Mozilla-GitHub-Standards/93f18f14efcf5fdfc0e04f9bf247f66baf46663f37b1d2087ab8d850abc90803

4e374b4d52dfb9039ebe543e7f27682189022307

[ "BSD-3-Clause" ]

2

2015-04-06T15:20:29.000Z

2016-12-30T12:25:11.000Z

apps/search/forms.py

Mozilla-GitHub-Standards/93f18f14efcf5fdfc0e04f9bf247f66baf46663f37b1d2087ab8d850abc90803

4e374b4d52dfb9039ebe543e7f27682189022307

[ "BSD-3-Clause" ]

2

2019-02-17T17:38:02.000Z

2019-03-28T03:49:16.000Z

apps/search/forms.py

Mozilla-GitHub-Standards/93f18f14efcf5fdfc0e04f9bf247f66baf46663f37b1d2087ab8d850abc90803

4e374b4d52dfb9039ebe543e7f27682189022307

[ "BSD-3-Clause" ]

1

2019-03-28T03:49:18.000Z

from haystack.forms import FacetedSearchForm class CustomFacetedSearchForm(FacetedSearchForm): """Override the results settings""" pass

24.166667

49

0.793103

13

145

8.846154

0.923077

0

0.137931

145

5

50

29

0.92

0.2

0

1

0

true

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

6

540d88e4612374e85eec70dc198a7143a06621a7

195

py

Python

scraper_meta.py

altanner/snax2

7c1cede46806ca434516a57a00c36af3e2b244ed

[ "MIT" ]

null

scraper_meta.py

altanner/snax2

7c1cede46806ca434516a57a00c36af3e2b244ed

[ "MIT" ]

null

scraper_meta.py

altanner/snax2

7c1cede46806ca434516a57a00c36af3e2b244ed

[ "MIT" ]

null

# user_agent = {"User-Agent": "python-requests/2.25.1"} user_agent = {"User-Agent": "Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.14 (KHTML, like Gecko) Chrome/24.0.1292.0 Safari/537.14"}

65

138

0.697436

35

195

3.828571

0.685714

0.268657

0.19403

0.268657

0

0.159091

0.097436

195

2

139

97.5

0.602273

0.271795

0

1

0.835714

0

1

0

false

0

null

1

0

1

0

1

0

null

0

6

58923f7302ddc8b9f40b2b9cff6f4d873b2d263c

154

py

Python

brainbox/tests/test_metrics.py

SebastianBruijns/ibllib

49f2091b7a53430c00c339b862dfc1a53aab008b

[ "MIT" ]

null

brainbox/tests/test_metrics.py

SebastianBruijns/ibllib

49f2091b7a53430c00c339b862dfc1a53aab008b

[ "MIT" ]

null

brainbox/tests/test_metrics.py

SebastianBruijns/ibllib

49f2091b7a53430c00c339b862dfc1a53aab008b

[ "MIT" ]

null

def test_unit_stability(): pass def test_feat_cutoff(): pass def test_wf_similarity(): pass def test_firing_rate_coeff_var(): pass

9.625

33

0.694805

22

154

4.409091

0.590909

0.28866

0.340206

0

0.227273

154

15

34

10.266667

0.815126

0

0.5

0

1

0.5

true

0.5

0

0.5

0

1

0

null

1

0

null

0

1

0

6

54508a41a36a513f90ea1e6deb97390695f1d32d

180

py

Python

python/8kyu/sum_of_positive.py

Sigmanificient/codewars

b34df4bf55460d312b7ddf121b46a707b549387a

[ "MIT" ]

3

2021-06-08T01:57:13.000Z

2021-06-26T10:52:47.000Z

python/8kyu/sum_of_positive.py

Sigmanificient/codewars

b34df4bf55460d312b7ddf121b46a707b549387a

[ "MIT" ]

null

python/8kyu/sum_of_positive.py

Sigmanificient/codewars

b34df4bf55460d312b7ddf121b46a707b549387a

[ "MIT" ]

2

2021-06-10T21:20:13.000Z

2021-06-30T10:13:26.000Z

"""Kata url: https://www.codewars.com/kata/5715eaedb436cf5606000381.""" from typing import List def positive_sum(arr: List[int]) -> int: return sum(x for x in arr if x > 0)

22.5

71

0.694444

29

180

4.275862

0.758621

0

0.119205

0.161111

180

7

72

25.714286

0.701987

0.361111

0

1

0.333333

false

0

0.333333

1

0

1

0

null

0

1

0

null

0

1

0

1

0

6

546274028e4cfa1271329a5c85c288e4240f78b8

65

py

Python

payrun/api/employers.py

Zingeon/payrun-python

1fbac0ee2556641840bf0b34d6da44437d91dc80

[ "MIT" ]

null

payrun/api/employers.py

Zingeon/payrun-python

1fbac0ee2556641840bf0b34d6da44437d91dc80

[ "MIT" ]

null

payrun/api/employers.py

Zingeon/payrun-python

1fbac0ee2556641840bf0b34d6da44437d91dc80

[ "MIT" ]

null

class Employers(): def getItems(): return 'employers'

21.666667

26

0.615385

6

65

6.666667

0.833333

0

0.261538

65

3

26

21.666667

0.833333

0

0.136364

0

1

0.333333

true

0

0.333333

1

0

1

0

null

0

1

0

null

0

1

0

1

0

6