xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

8a3daad118e5fad562fcd9c13b3b8c5d05fafa86

914

py

Python

test/test_widget_response.py

mxenabled/mx-platform-python

060dae7ddb02fdcf41fa7f7aebfa4b8a0273afac

[ "MIT" ]

null

test/test_widget_response.py

mxenabled/mx-platform-python

060dae7ddb02fdcf41fa7f7aebfa4b8a0273afac

[ "MIT" ]

14

2021-11-30T21:56:19.000Z

2022-02-07T18:47:10.000Z

test/test_widget_response.py

mxenabled/mx-platform-python

060dae7ddb02fdcf41fa7f7aebfa4b8a0273afac

[ "MIT" ]

1

2022-01-12T14:59:39.000Z

""" MX Platform API The MX Platform API is a powerful, fully-featured API designed to make aggregating and enhancing financial data easy and reliable. It can seamlessly connect your app or website to tens of thousands of financial institutions. # noqa: E501 The version of the OpenAPI document: 0.1.0 Generated by: https://openapi-generator.tech """ import sys import unittest import mx_platform_python from mx_platform_python.model.widget_response import WidgetResponse class TestWidgetResponse(unittest.TestCase): """WidgetResponse unit test stubs""" def setUp(self): pass def tearDown(self): pass def testWidgetResponse(self): """Test WidgetResponse""" # FIXME: construct object with mandatory attributes with example values # model = WidgetResponse() # noqa: E501 pass if __name__ == '__main__': unittest.main()

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8a50bc9d16de8dc510ea786663e22d367705e09f

49

py

Python

djavError/tests/widgets/test_problem_requests_table.py

dasmith2/djavError

6fc1bfcf8b1443be817a9bd8ec2d59e7682521dd

[ "MIT" ]

null

djavError/tests/widgets/test_problem_requests_table.py

dasmith2/djavError

6fc1bfcf8b1443be817a9bd8ec2d59e7682521dd

[ "MIT" ]

null

djavError/tests/widgets/test_problem_requests_table.py

dasmith2/djavError

6fc1bfcf8b1443be817a9bd8ec2d59e7682521dd

[ "MIT" ]

null

# ProblemRequestsTable is an abstract base class

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8a63b2c4c81b4d095c1585f4f6d11d6ea177c096

111

py

Python

network/models/building_blocks/__init__.py

fnozarian/coiltraine

bf418d7924dc47cc84cd21636f17a3cf85e3350f

[ "MIT" ]

null

network/models/building_blocks/__init__.py

fnozarian/coiltraine

bf418d7924dc47cc84cd21636f17a3cf85e3350f

[ "MIT" ]

null

network/models/building_blocks/__init__.py

fnozarian/coiltraine

bf418d7924dc47cc84cd21636f17a3cf85e3350f

[ "MIT" ]

null

from .branching import Branching from .conv import Conv from .fc import FC, Gaussian_FC from .join import Join

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py

Python

src/tests/dybm_test.py

rraymondhp/dybm

3d618874a2f8838eaeca17ce40649a3789e9f140

[ "Apache-2.0" ]

1

2017-09-04T13:40:41.000Z

src/tests/dybm_test.py

rraymondhp/dybm

3d618874a2f8838eaeca17ce40649a3789e9f140

[ "Apache-2.0" ]

null

src/tests/dybm_test.py

rraymondhp/dybm

3d618874a2f8838eaeca17ce40649a3789e9f140

[ "Apache-2.0" ]

1

2019-06-09T01:24:25.000Z

# -*- coding: utf-8 -*- """ DyBM_test """ __author__ = "Takayuki Osogami" __copyright__ = "(C) Copyright IBM Corp. 2016" import unittest from six.moves import xrange import numpy as np import tests.simple from tests.arraymath import NumpyTestMixin, CupyTestMixin import pydybm.arraymath as amath from pydybm.time_series.dybm import LinearDyBM, BinaryDyBM from pydybm.base.sgd import AdaGrad, ADAM from pydybm.base.generator import Uniform class DyBMTestCase(object): """ unit test for VectorLogisticRegression """ """ Attributes ---------- max_repeat : int maximum number of training iterations in_dim : int dimension of input sequence out_dim : int dimension of target sequence """ def setUp(self): self.max_repeat = 100000 self.in_dim = 3 # dimension of input sequence self.out_dim = 2 # dimension of target sequence self.rate = 0.01 # learning rate def tearDown(self): pass def test_GenerativeLinearDyBM(self): """ testing minimal consistency in learning a sequence """ print("\nDyBMTestCase.testGenerativeGaussianDyBM") for delay in [1, 3]: for SGD in [AdaGrad, ADAM]: for GENERATOR in [True, False]: model = LinearDyBM(self.in_dim, self.in_dim, delay, SGD=SGD()) model.set_learning_rate(self.rate) i = tests.simple.test_real_model(model, self.max_repeat, GENERATOR) self.assertLess(i, self.max_repeat) def test_DiscriminativeLinearDyBM(self): """ testing minimal consistency in learning a sequence to an output """ print("\nDyBMTestCase.testDiscriminativeGaussianDyBM") for delay in [1, 3]: for SGD in [AdaGrad, ADAM]: for GENERATOR in [True, False]: model = LinearDyBM(self.in_dim, self.out_dim, delay, SGD=SGD()) model.set_learning_rate(self.rate) i = tests.simple.test_real_model(model, self.max_repeat, GENERATOR) self.assertLess(i, self.max_repeat) def test_GenerativeBinaryDyBM(self): """ testing minimal consistency in learning a sequence """ print("\nDyBMTestCase.testGenerativeBinaryDyBM") for delay in [1, 3]: for SGD in [AdaGrad]: for GENERATOR in [True]: model = BinaryDyBM(self.in_dim, self.in_dim, delay, SGD=SGD()) model.set_learning_rate(1.) i = tests.simple.test_binary_model(model, self.max_repeat, GENERATOR) self.assertLess(i, self.max_repeat) def test_DiscriminativeBinaryDyBM(self): """ testing minimal consistency in learning a sequence to an output """ print("\nDyBMTestCase.testDiscriminativeBinaryDyBM") for delay in [1, 3]: for SGD in [AdaGrad]: for GENERATOR in [True]: model = BinaryDyBM(self.in_dim, self.out_dim, delay, SGD=SGD()) model.set_learning_rate(1.) i = tests.simple.test_binary_model(model, self.max_repeat, GENERATOR) self.assertLess(i, self.max_repeat) def test_LearnGenerator(self): """ testing learning with generator """ print("\nDyBMTestCase.testLearnGenerator") batch = 3 in_mean = 1.0 out_mean = 2.0 d = 0.01 delay = 1 rates = [0.5, 0.8] L1 = 0.0 L2 = 0.0 random = amath.random.RandomState(0) in_gen = Uniform(length=batch, low=in_mean - d, high=in_mean + d, dim=self.in_dim) in_seq = random.uniform(low=in_mean - d, high=in_mean + d, size=(batch, self.in_dim)) model = LinearDyBM(self.in_dim, self.in_dim, delay=delay, decay_rates=rates, L1=L1, L2=L2) model.set_learning_rate(0.1) model._learn_sequence(in_seq) model2 = LinearDyBM(self.in_dim, self.in_dim, delay=delay, decay_rates=rates, L1=L1, L2=L2) model2.set_learning_rate(0.1) model2.learn(in_gen) random = amath.random.RandomState(0) in_gen = Uniform(length=batch, low=in_mean - d, high=in_mean + d, dim=self.in_dim) in_seq = random.uniform(low=in_mean - d, high=in_mean + d, size=(batch, self.in_dim)) random = amath.random.RandomState(0) out_gen = Uniform(length=batch, low=out_mean - d, high=out_mean + d, dim=self.out_dim) out_seq = random.uniform(low=out_mean - d, high=out_mean + d, size=(batch, self.out_dim)) self.assertEqual(model.variables.keys(), model2.variables.keys()) for key in model.variables: self.assertTrue((model.variables[key] == model2.variables[key]).all()) model = LinearDyBM(self.in_dim, self.out_dim, delay=delay, decay_rates=rates, L1=L1, L2=L2) model.set_learning_rate(0.1) model._learn_sequence(in_seq, out_seq) model2 = LinearDyBM(self.in_dim, self.out_dim, delay=delay, decay_rates=rates, L1=L1, L2=L2) model2.set_learning_rate(0.1) model2.learn(in_gen, out_gen) self.assertEqual(model.variables.keys(), model2.variables.keys()) for key in model.variables: self.assertTrue((model.variables[key] == model2.variables[key]).all()) def test_UpdateState(self): """ testing fifo, eligibility trace, and update_state method in LinearDyBM """ print("\n * testing fifo, eligibility trace, and update_state method" " in LinearDyBM \n") in_dim = 3 delay = 3 decay_rate = 0.5 len_ts = 10 print("testing wo_delay, single e_trace") model = LinearDyBM(in_dim, delay=delay, decay_rates=[decay_rate], insert_to_etrace="wo_delay") random = np.random.RandomState(0) in_patterns = np.random.uniform(size=(len_ts, in_dim)) fifo_test = np.zeros((delay - 1, in_dim)) e_trace_test = np.zeros((1, in_dim)) for i in xrange(len_ts): self.assertTrue(np.allclose(amath.to_numpy(model.fifo.to_array()), fifo_test)) self.assertTrue(np.allclose(amath.to_numpy(model.e_trace), e_trace_test)) model.learn_one_step(amath.array(in_patterns[i])) model._update_state(amath.array(in_patterns[i])) fifo_test[1:] = fifo_test[:-1] fifo_test[0] = in_patterns[i] e_trace_test = e_trace_test * decay_rate + in_patterns[i] print("testing w_delay, single e_trace") model = LinearDyBM(in_dim, delay=delay, decay_rates=[decay_rate], insert_to_etrace="w_delay") random = np.random.RandomState(0) in_patterns = np.random.uniform(size=(len_ts, in_dim)) fifo_test = np.zeros((delay - 1, in_dim)) e_trace_test = np.zeros((1, in_dim)) for i in xrange(len_ts): self.assertTrue(np.allclose(amath.to_numpy(model.fifo.to_array()), fifo_test)) self.assertTrue(np.allclose(amath.to_numpy(model.e_trace), e_trace_test)) model.learn_one_step(amath.array(in_patterns[i])) model._update_state(amath.array(in_patterns[i])) fifo_test[1:] = fifo_test[:-1] fifo_test[0] = in_patterns[i] if i < delay - 1: pass else: e_trace_test = e_trace_test * decay_rate \ + in_patterns[i - delay + 1] print("testing w_delay, two e_traces") model = LinearDyBM(in_dim, delay=delay, decay_rates=[decay_rate, decay_rate**2], insert_to_etrace="w_delay") random = np.random.RandomState(0) in_patterns = np.random.uniform(size=(len_ts, in_dim)) fifo_test = np.zeros((delay - 1, in_dim)) e_trace_test = np.zeros((2, in_dim)) for i in xrange(len_ts): self.assertTrue(np.allclose(amath.to_numpy(model.fifo.to_array()), fifo_test)) self.assertTrue(np.allclose(amath.to_numpy(model.e_trace), e_trace_test)) model.learn_one_step(amath.array(in_patterns[i])) model._update_state(amath.array(in_patterns[i])) fifo_test[1:] = fifo_test[:-1] fifo_test[0] = in_patterns[i] if i < delay - 1: pass else: e_trace_test[0] = e_trace_test[0] * decay_rate \ + in_patterns[i - delay + 1] e_trace_test[1] = e_trace_test[1] * (decay_rate**2) \ + in_patterns[i - delay + 1] print("testing w_delay, single e_trace, delay=1") delay = 1 model = LinearDyBM(in_dim, delay=delay, decay_rates=[decay_rate], insert_to_etrace="w_delay") random = np.random.RandomState(0) in_patterns = random.uniform(size=(len_ts, in_dim)) e_trace_test = np.zeros((1, in_dim)) for i in xrange(len_ts): self.assertTrue(np.allclose(amath.to_numpy(model.e_trace), e_trace_test)) model.learn_one_step(amath.array(in_patterns[i])) model._update_state(amath.array(in_patterns[i])) if i < delay - 1: pass else: e_trace_test = e_trace_test * decay_rate \ + in_patterns[i - delay + 1] class DyBMTestCaseNumpy(NumpyTestMixin, DyBMTestCase, unittest.TestCase): pass class DyBMTestCaseCupy(CupyTestMixin, DyBMTestCase, unittest.TestCase): pass if __name__ == "__main__": unittest.main()

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Python

tests/providers/amazon/aws/sensors/test_emr_job_flow.py

ChaseKnowlden/airflow

6b71eac1997a7c0db3b8e3aed6b4e65d01871440

[ "Apache-2.0" ]

15,947

2019-01-05T13:51:02.000Z

2022-03-31T23:33:16.000Z

tests/providers/amazon/aws/sensors/test_emr_job_flow.py

ChaseKnowlden/airflow

6b71eac1997a7c0db3b8e3aed6b4e65d01871440

[ "Apache-2.0" ]

14,603

2019-01-05T09:43:19.000Z

2022-03-31T23:11:59.000Z

tests/providers/amazon/aws/sensors/test_emr_job_flow.py

ChaseKnowlden/airflow

6b71eac1997a7c0db3b8e3aed6b4e65d01871440

[ "Apache-2.0" ]

8,429

2019-01-05T19:45:47.000Z

2022-03-31T22:13:01.000Z

# # Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you 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. import datetime import unittest from unittest.mock import MagicMock, patch import pytest from dateutil.tz import tzlocal from airflow.exceptions import AirflowException from airflow.providers.amazon.aws.sensors.emr_job_flow import EmrJobFlowSensor DESCRIBE_CLUSTER_STARTING_RETURN = { 'Cluster': { 'Applications': [{'Name': 'Spark', 'Version': '1.6.1'}], 'AutoTerminate': True, 'Configurations': [], 'Ec2InstanceAttributes': {'IamInstanceProfile': 'EMR_EC2_DefaultRole'}, 'Id': 'j-27ZY9GBEEU2GU', 'LogUri': 's3n://some-location/', 'Name': 'PiCalc', 'NormalizedInstanceHours': 0, 'ReleaseLabel': 'emr-4.6.0', 'ServiceRole': 'EMR_DefaultRole', 'Status': { 'State': 'STARTING', 'StateChangeReason': {}, 'Timeline': { 'CreationDateTime': datetime.datetime(2016, 6, 27, 21, 5, 2, 348000, tzinfo=tzlocal()) }, }, 'Tags': [{'Key': 'app', 'Value': 'analytics'}, {'Key': 'environment', 'Value': 'development'}], 'TerminationProtected': False, 'VisibleToAllUsers': True, }, 'ResponseMetadata': {'HTTPStatusCode': 200, 'RequestId': 'd5456308-3caa-11e6-9d46-951401f04e0e'}, } DESCRIBE_CLUSTER_BOOTSTRAPPING_RETURN = { 'Cluster': { 'Applications': [{'Name': 'Spark', 'Version': '1.6.1'}], 'AutoTerminate': True, 'Configurations': [], 'Ec2InstanceAttributes': {'IamInstanceProfile': 'EMR_EC2_DefaultRole'}, 'Id': 'j-27ZY9GBEEU2GU', 'LogUri': 's3n://some-location/', 'Name': 'PiCalc', 'NormalizedInstanceHours': 0, 'ReleaseLabel': 'emr-4.6.0', 'ServiceRole': 'EMR_DefaultRole', 'Status': { 'State': 'BOOTSTRAPPING', 'StateChangeReason': {}, 'Timeline': { 'CreationDateTime': datetime.datetime(2016, 6, 27, 21, 5, 2, 348000, tzinfo=tzlocal()) }, }, 'Tags': [{'Key': 'app', 'Value': 'analytics'}, {'Key': 'environment', 'Value': 'development'}], 'TerminationProtected': False, 'VisibleToAllUsers': True, }, 'ResponseMetadata': {'HTTPStatusCode': 200, 'RequestId': 'd5456308-3caa-11e6-9d46-951401f04e0e'}, } DESCRIBE_CLUSTER_RUNNING_RETURN = { 'Cluster': { 'Applications': [{'Name': 'Spark', 'Version': '1.6.1'}], 'AutoTerminate': True, 'Configurations': [], 'Ec2InstanceAttributes': {'IamInstanceProfile': 'EMR_EC2_DefaultRole'}, 'Id': 'j-27ZY9GBEEU2GU', 'LogUri': 's3n://some-location/', 'Name': 'PiCalc', 'NormalizedInstanceHours': 0, 'ReleaseLabel': 'emr-4.6.0', 'ServiceRole': 'EMR_DefaultRole', 'Status': { 'State': 'RUNNING', 'StateChangeReason': {}, 'Timeline': { 'CreationDateTime': datetime.datetime(2016, 6, 27, 21, 5, 2, 348000, tzinfo=tzlocal()) }, }, 'Tags': [{'Key': 'app', 'Value': 'analytics'}, {'Key': 'environment', 'Value': 'development'}], 'TerminationProtected': False, 'VisibleToAllUsers': True, }, 'ResponseMetadata': {'HTTPStatusCode': 200, 'RequestId': 'd5456308-3caa-11e6-9d46-951401f04e0e'}, } DESCRIBE_CLUSTER_WAITING_RETURN = { 'Cluster': { 'Applications': [{'Name': 'Spark', 'Version': '1.6.1'}], 'AutoTerminate': True, 'Configurations': [], 'Ec2InstanceAttributes': {'IamInstanceProfile': 'EMR_EC2_DefaultRole'}, 'Id': 'j-27ZY9GBEEU2GU', 'LogUri': 's3n://some-location/', 'Name': 'PiCalc', 'NormalizedInstanceHours': 0, 'ReleaseLabel': 'emr-4.6.0', 'ServiceRole': 'EMR_DefaultRole', 'Status': { 'State': 'WAITING', 'StateChangeReason': {}, 'Timeline': { 'CreationDateTime': datetime.datetime(2016, 6, 27, 21, 5, 2, 348000, tzinfo=tzlocal()) }, }, 'Tags': [{'Key': 'app', 'Value': 'analytics'}, {'Key': 'environment', 'Value': 'development'}], 'TerminationProtected': False, 'VisibleToAllUsers': True, }, 'ResponseMetadata': {'HTTPStatusCode': 200, 'RequestId': 'd5456308-3caa-11e6-9d46-951401f04e0e'}, } DESCRIBE_CLUSTER_TERMINATED_RETURN = { 'Cluster': { 'Applications': [{'Name': 'Spark', 'Version': '1.6.1'}], 'AutoTerminate': True, 'Configurations': [], 'Ec2InstanceAttributes': {'IamInstanceProfile': 'EMR_EC2_DefaultRole'}, 'Id': 'j-27ZY9GBEEU2GU', 'LogUri': 's3n://some-location/', 'Name': 'PiCalc', 'NormalizedInstanceHours': 0, 'ReleaseLabel': 'emr-4.6.0', 'ServiceRole': 'EMR_DefaultRole', 'Status': { 'State': 'TERMINATED', 'StateChangeReason': {}, 'Timeline': { 'CreationDateTime': datetime.datetime(2016, 6, 27, 21, 5, 2, 348000, tzinfo=tzlocal()) }, }, 'Tags': [{'Key': 'app', 'Value': 'analytics'}, {'Key': 'environment', 'Value': 'development'}], 'TerminationProtected': False, 'VisibleToAllUsers': True, }, 'ResponseMetadata': {'HTTPStatusCode': 200, 'RequestId': 'd5456308-3caa-11e6-9d46-951401f04e0e'}, } DESCRIBE_CLUSTER_TERMINATED_WITH_ERRORS_RETURN = { 'Cluster': { 'Applications': [{'Name': 'Spark', 'Version': '1.6.1'}], 'AutoTerminate': True, 'Configurations': [], 'Ec2InstanceAttributes': {'IamInstanceProfile': 'EMR_EC2_DefaultRole'}, 'Id': 'j-27ZY9GBEEU2GU', 'LogUri': 's3n://some-location/', 'Name': 'PiCalc', 'NormalizedInstanceHours': 0, 'ReleaseLabel': 'emr-4.6.0', 'ServiceRole': 'EMR_DefaultRole', 'Status': { 'State': 'TERMINATED_WITH_ERRORS', 'StateChangeReason': { 'Code': 'BOOTSTRAP_FAILURE', 'Message': 'Master instance (i-0663047709b12345c) failed attempting to ' 'download bootstrap action 1 file from S3', }, 'Timeline': { 'CreationDateTime': datetime.datetime(2016, 6, 27, 21, 5, 2, 348000, tzinfo=tzlocal()) }, }, 'Tags': [{'Key': 'app', 'Value': 'analytics'}, {'Key': 'environment', 'Value': 'development'}], 'TerminationProtected': False, 'VisibleToAllUsers': True, }, 'ResponseMetadata': {'HTTPStatusCode': 200, 'RequestId': 'd5456308-3caa-11e6-9d46-951401f04e0e'}, } class TestEmrJobFlowSensor(unittest.TestCase): def setUp(self): # Mock out the emr_client (moto has incorrect response) self.mock_emr_client = MagicMock() mock_emr_session = MagicMock() mock_emr_session.client.return_value = self.mock_emr_client # Mock out the emr_client creator self.boto3_session_mock = MagicMock(return_value=mock_emr_session) def test_execute_calls_with_the_job_flow_id_until_it_reaches_a_target_state(self): self.mock_emr_client.describe_cluster.side_effect = [ DESCRIBE_CLUSTER_STARTING_RETURN, DESCRIBE_CLUSTER_RUNNING_RETURN, DESCRIBE_CLUSTER_TERMINATED_RETURN, ] with patch('boto3.session.Session', self.boto3_session_mock): operator = EmrJobFlowSensor( task_id='test_task', poke_interval=0, job_flow_id='j-8989898989', aws_conn_id='aws_default' ) operator.execute(None) # make sure we called twice assert self.mock_emr_client.describe_cluster.call_count == 3 # make sure it was called with the job_flow_id calls = [unittest.mock.call(ClusterId='j-8989898989')] self.mock_emr_client.describe_cluster.assert_has_calls(calls) def test_execute_calls_with_the_job_flow_id_until_it_reaches_failed_state_with_exception(self): self.mock_emr_client.describe_cluster.side_effect = [ DESCRIBE_CLUSTER_RUNNING_RETURN, DESCRIBE_CLUSTER_TERMINATED_WITH_ERRORS_RETURN, ] with patch('boto3.session.Session', self.boto3_session_mock): operator = EmrJobFlowSensor( task_id='test_task', poke_interval=0, job_flow_id='j-8989898989', aws_conn_id='aws_default' ) with pytest.raises(AirflowException): operator.execute(None) # make sure we called twice assert self.mock_emr_client.describe_cluster.call_count == 2 # make sure it was called with the job_flow_id self.mock_emr_client.describe_cluster.assert_called_once_with(ClusterId='j-8989898989') def test_different_target_states(self): self.mock_emr_client.describe_cluster.side_effect = [ DESCRIBE_CLUSTER_STARTING_RETURN, # return False DESCRIBE_CLUSTER_BOOTSTRAPPING_RETURN, # return False DESCRIBE_CLUSTER_RUNNING_RETURN, # return True DESCRIBE_CLUSTER_WAITING_RETURN, # will not be used DESCRIBE_CLUSTER_TERMINATED_RETURN, # will not be used DESCRIBE_CLUSTER_TERMINATED_WITH_ERRORS_RETURN, # will not be used ] with patch('boto3.session.Session', self.boto3_session_mock): operator = EmrJobFlowSensor( task_id='test_task', poke_interval=0, job_flow_id='j-8989898989', aws_conn_id='aws_default', target_states=['RUNNING', 'WAITING'], ) operator.execute(None) # make sure we called twice assert self.mock_emr_client.describe_cluster.call_count == 3 # make sure it was called with the job_flow_id calls = [unittest.mock.call(ClusterId='j-8989898989')] self.mock_emr_client.describe_cluster.assert_has_calls(calls)

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Python

test/test_app.py

gsmcwhirter/owlbear

a27deb5974c9192ac9fe2db00fba6c1921c97323

[ "MIT" ]

null

test/test_app.py

gsmcwhirter/owlbear

a27deb5974c9192ac9fe2db00fba6c1921c97323

[ "MIT" ]

null

test/test_app.py

gsmcwhirter/owlbear

a27deb5974c9192ac9fe2db00fba6c1921c97323

[ "MIT" ]

null

# -*- coding: utf-8 -*- """Tests for owlbear.app""" from owlbear import app import test.helpers as test_helpers

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Python

mmu/metrics/metrics.py

RUrlus/ModelMetricUncertainty

f401a25dd196d6e4edf4901fcfee4b56ebd7c10b

[ "Apache-2.0" ]

null

mmu/metrics/metrics.py

RUrlus/ModelMetricUncertainty

f401a25dd196d6e4edf4901fcfee4b56ebd7c10b

[ "Apache-2.0" ]

11

2021-12-08T10:34:17.000Z

2022-01-20T13:40:05.000Z

mmu/metrics/metrics.py

RUrlus/ModelMetricUncertainty

f401a25dd196d6e4edf4901fcfee4b56ebd7c10b

[ "Apache-2.0" ]

null

import numpy as np import pandas as pd import mmu.lib._mmu_core as _core from mmu.commons import check_array from mmu.metrics.confmat import confusion_matrix_to_dataframe from mmu.metrics.confmat import confusion_matrices_to_dataframe from mmu.commons import _convert_to_ext_types from mmu.commons import _convert_to_int from mmu.commons import _convert_to_float col_index = { 'neg.precision': 0, 'neg.prec': 0, 'npv': 0, 'pos.precision': 1, 'pos.prec': 1, 'ppv': 1, 'neg.recall': 2, 'neg.rec': 2, 'tnr': 2, 'specificity': 2, 'pos.recall': 3, 'pos.rec': 3, 'tpr': 3, 'sensitivity': 3, 'neg.f1': 4, 'neg.f1_score': 4, 'pos.f1': 5, 'pos.f1_score': 5, 'fpr': 6, 'fnr': 7, 'accuracy': 8, 'acc': 8, 'mcc': 9, } col_names = [ 'neg.precision', 'pos.precision', 'neg.recall', 'pos.recall', 'neg.f1', 'pos.f1', 'fpr', 'fnr', 'acc', 'mcc', ] def metrics_to_dataframe(metrics, metric_names=None): """Return DataFrame with metrics. Parameters ---------- metrics : np.ndarray metrics where the rows are the metrics for various runs or classification thresholds and the columns are the metrics. metric_names : str, list[str], default=None if you computed a subset of the metrics you should set the column names here Returns ------- pd.DataFrame the metrics as a DataFrame """ if metric_names is None: metric_names = col_names elif isinstance(metric_names, str): metric_names = [metric_names] elif isinstance(metric_names, (tuple, list, np.ndarray)): if not isinstance(metric_names[0], str): raise TypeError('``metrics_names`` should contain strings.') else: raise TypeError('``metrics_names`` has an unsupported type.') if metrics.ndim == 1: return pd.DataFrame(metrics[None, :], columns=metric_names) return pd.DataFrame(metrics, columns=metric_names) def binary_metrics(y, yhat=None, scores=None, threshold=None, fill=1.0, return_df=False): r"""Compute binary classification metrics. `bmetrics` is an alias for this function. Computes the following metrics where [i] indicates the i'th value in the array. * [0] neg.precision aka Negative Predictive Value (NPV) * [1] pos.precision aka Positive Predictive Value (PPV) * [2] neg.recall aka True Negative Rate (TNR) aka Specificity * [3] pos.recall aka True Positive Rate (TPR) aka Sensitivity * [4] neg.f1 score * [5] pos.f1 score * [6] False Positive Rate (FPR) * [7] False Negative Rate (FNR) * [8] Accuracy * [9] MCC Parameters ---------- y : np.ndarray[bool, int32, int64, float32, float64] true labels for observations yhat : np.ndarray[bool, int32, int64, float32, float64], default=None the predicted labels, the same dtypes are supported as y. Can be `None` if `scores` is not `None`, if both are provided, `scores` is ignored. scores : np.ndarray[float32, float64], default=None the classifier scores to be evaluated against the `threshold`, i.e. `yhat` = `scores` >= `threshold`. Can be `None` if `yhat` is not `None`, if both are provided, this parameter is ignored. threshold : float, default=0.5 the classification threshold to which the classifier scores is evaluated, is inclusive. fill : float, default=1.0 value to fill when a metric is not defined, e.g. divide by zero. return_df : bool, default=False return confusion matrix as pd.DataFrame Returns ------- confusion_matrix : np.ndarray, pd.DataFrame the confusion_matrix with layout [0, 0] = TN, [0, 1] = FP, [1, 0] = FN, [1, 1] = TP metrics : np.ndarray, pd.DataFrame the computed metrics """ if not isinstance(fill, float): raise TypeError("`fill` must be a float.") y = check_array( y, max_dim=1, dtype_check=_convert_to_ext_types ) if scores is not None: scores = check_array( scores, max_dim=1, dtype_check=_convert_to_float, ) if not isinstance(threshold, float): raise TypeError("`threshold` must be a float if scores is not None") if scores.size != y.size: raise ValueError('`scores` and `y` must have equal length.') conf_mat = _core.confusion_matrix_score(y, scores, threshold) elif yhat is not None: yhat = check_array( yhat, max_dim=1, dtype_check=_convert_to_ext_types, ) if yhat.size != y.size: raise ValueError('`yhat` and `y` must have equal length.') conf_mat = _core.confusion_matrix(y, yhat) else: raise TypeError("`yhat` must not be None if `scores` is None") metrics = _core.binary_metrics(conf_mat, fill) if return_df: return ( confusion_matrix_to_dataframe(conf_mat), metrics_to_dataframe(metrics) ) return conf_mat, metrics def binary_metrics_confusion_matrix(conf_mat, fill=1.0, return_df=False): """Compute binary classification metrics. `bmetrics_conf_mat` is an alias for this function. Computes the following metrics where [i] indicates the i'th value in the array. * [0] neg.precision aka Negative Predictive Value (NPV) * [1] pos.precision aka Positive Predictive Value (PPV) * [2] neg.recall aka True Negative Rate (TNR) aka Specificity * [3] pos.recall aka True Positive Rate (TPR) aka Sensitivity * [4] neg.f1 score * [5] pos.f1 score * [6] False Positive Rate (FPR) * [7] False Negative Rate (FNR) * [8] Accuracy * [9] MCC Parameters ---------- conf_mat : np.ndarray[int32, int64], confusion_matrix as returned by mmu.confusion_matrix fill : float, default=1.0 value to fill when a metric is not defined, e.g. divide by zero. return_df : bool, default=False return the metrics confusion matrix and metrics as a DataFrame Returns ------- metrics : np.ndarray, pd.DataFrame the computed metrics """ if not isinstance(fill, float): raise TypeError("`fill` must be a float.") if conf_mat.shape == (2, 2): conf_mat = conf_mat.flatten() conf_mat = check_array( conf_mat, max_dim=1, target_order=0, dtype_check=_convert_to_int, ) metrics = _core.binary_metrics(conf_mat, fill) if return_df: return metrics_to_dataframe(metrics) return metrics def binary_metrics_confusion_matrices(conf_mat, fill=1.0, return_df=False): """Compute binary classification metrics. `bmetrics_conf_mats` is an alias for this function. Computes the following metrics where [i] indicates the i'th value in the array. * [0] neg.precision aka Negative Predictive Value (NPV) * [1] pos.precision aka Positive Predictive Value (PPV) * [2] neg.recall aka True Negative Rate (TNR) aka Specificity * [3] pos.recall aka True Positive Rate (TPR) aka Sensitivity * [4] neg.f1 score * [5] pos.f1 score * [6] False Positive Rate (FPR) * [7] False Negative Rate (FNR) * [8] Accuracy * [9] MCC Parameters ---------- conf_mat : np.ndarray[int32, int64], confusion_matrix as returned by mmu.confusion_matrices, should have shape (N, 4) and be C-Contiguous fill : float, default=1.0 value to fill when a metric is not defined, e.g. divide by zero. return_df : bool, default=False return the metrics confusion matrix and metrics as a DataFrame Returns ------- metrics : np.ndarray, pd.DataFrame the computed metrics """ if not isinstance(fill, float): raise TypeError("`fill` must be a float.") conf_mat = check_array( conf_mat, max_dim=2, target_order=0, dtype_check=_convert_to_int, ) metrics = _core.binary_metrics_2d(conf_mat, fill) if return_df: return metrics_to_dataframe(metrics) return metrics def binary_metrics_thresholds( y, scores, thresholds, fill=1.0, return_df=False ): """Compute binary classification metrics over multiple thresholds. `bmetrics_thresh` is an alias for this function. Computes the following metrics where [i] indicates the i'th column in the array. * [0] neg.precision aka Negative Predictive Value (NPV) * [1] pos.precision aka Positive Predictive Value (PPV) * [2] neg.recall aka True Negative Rate (TNR) aka Specificity * [3] pos.recall aka True Positive Rate (TPR) aka Sensitivity * [4] neg.f1 score * [5] pos.f1 score * [6] False Positive Rate (FPR) * [7] False Negative Rate (FNR) * [8] Accuracy * [9] MCC Parameters ---------- y : np.ndarray[bool, int32, int64, float32, float64] true labels for observations yhat : np.ndarray[bool, int32, int64, float32, float64], default=None the predicted labels, the same dtypes are supported as y. Can be `None` if `scores` is not `None`, if both are provided, `scores` is ignored. scores : np.ndarray[float32, float64], default=None the classifier scores to be evaluated against the `threshold`, i.e. `yhat` = `scores` >= `threshold`. Can be `None` if `yhat` is not `None`, if both are provided, this parameter is ignored. thresholds : np.ndarray[float32, float64] the classification thresholds for which the classifier scores is evaluated, is inclusive. fill : float, default=1.0 value to fill when a metric is not defined, e.g. divide by zero. return_df : bool, default=False return the metrics confusion matrix and metrics as a DataFrame Returns ------- conf_mat : np.ndarray, pd.DataFrame the confusion_matrices where the rows contain the counts for a threshold, [i, 0] = TN, [i, 1] = FP, [i, 2] = FN, [i, 3] = TP metrics : np.ndarray, pd.DataFrame the computed metrics where the rows contain the metrics for a single threshold """ if not isinstance(fill, float): raise TypeError("`fill` must be a float.") y = check_array( y, max_dim=1, dtype_check=_convert_to_ext_types, ) scores = check_array( scores, max_dim=1, dtype_check=_convert_to_float, ) thresholds = check_array( thresholds, max_dim=1, dtype_check=_convert_to_float, ) if scores.size != y.size: raise ValueError('`scores` and `y` must have equal length.') conf_mat = _core.confusion_matrix_thresholds(y, scores, thresholds) metrics = _core.binary_metrics_2d(conf_mat, fill) if return_df: return ( confusion_matrices_to_dataframe(conf_mat), metrics_to_dataframe(metrics) ) return conf_mat, metrics def binary_metrics_runs( y, yhat=None, scores=None, threshold=None, obs_axis=0, fill=1.0, return_df=False ): """Compute binary classification metrics over multiple runs. `bmetrics_runs` is an alias for this function. Computes the following metrics where [i] indicates the i'th column in the array. * [0] neg.precision aka Negative Predictive Value (NPV) * [1] pos.precision aka Positive Predictive Value (PPV) * [2] neg.recall aka True Negative Rate (TNR) aka Specificity * [3] pos.recall aka True Positive Rate (TPR) aka Sensitivity * [4] neg.f1 score * [5] pos.f1 score * [6] False Positive Rate (FPR) * [7] False Negative Rate (FNR) * [8] Accuracy * [9] MCC Parameters ---------- y : np.ndarray[bool, int32, int64, float32, float64] true labels for observations, should have shape (N, K) for `K` runs each consisting of `N` observations if `obs_axis` yhat : np.ndarray[bool, int32, int64, float32, float64], default=None the predicted labels, the same dtypes are supported as y. Can be `None` if `scores` is not `None`, if both are provided, `scores` is ignored. `yhat` shape must be compatible with `y`. scores : np.ndarray[float32, float64], default=None the classifier scores to be evaluated against the `threshold`, i.e. `yhat` = `scores` >= `threshold`. Can be `None` if `yhat` is not `None`, if both are provided, this parameter is ignored. `scores` shape must be compatible with `y`. thresholds : np.ndarray[float32, float64] the classification thresholds for which the classifier scores is evaluated, is inclusive. obs_axis : int, default=0 the axis containing the observations for a single run, e.g. 0 when the labels and scoress are stored as columns fill : float, default=1.0 value to fill when a metric is not defined, e.g. divide by zero. return_df : bool, default=False return the metrics confusion matrix and metrics as a DataFrame Returns ------- conf_mat : np.ndarray, pd.DataFrame the confusion_matrices where the rows contain the counts for a run, [i, 0] = TN, [i, 1] = FP, [i, 2] = FN, [i, 3] = TP metrics : np.ndarray, pd.DataFrame the computed metrics where the rows contain the metrics for a single run """ if not isinstance(fill, float): raise TypeError("`fill` must be a float.") if not isinstance(obs_axis, int) or (obs_axis != 0 and obs_axis != 1): raise TypeError("`obs_axis` must be either 0 or 1.") y = check_array( y, axis=obs_axis, target_axis=obs_axis, target_order=1-obs_axis, max_dim=2, dtype_check=_convert_to_ext_types, ) if scores is not None: scores = check_array( scores, axis=obs_axis, target_axis=obs_axis, target_order=1-obs_axis, max_dim=2, dtype_check=_convert_to_float, ) if not isinstance(threshold, float): raise TypeError("`threshold` must be a float if scores is not None") if scores.size != y.size: raise ValueError('`scores` and `y` must have equal length.') conf_mat = _core.confusion_matrix_score_runs(y, scores, threshold, obs_axis) elif yhat is not None: yhat = check_array( yhat, axis=obs_axis, target_axis=obs_axis, target_order=1-obs_axis, max_dim=2, dtype_check=_convert_to_ext_types, ) if yhat.size != y.size: raise ValueError('`yhat` and `y` must have equal length.') conf_mat = _core.confusion_matrix_runs(y, yhat, obs_axis) else: raise TypeError("`yhat` must not be None if `scores` is None") metrics = _core.binary_metrics_2d(conf_mat, fill) if return_df: return ( confusion_matrices_to_dataframe(conf_mat), metrics_to_dataframe(metrics) ) return conf_mat, metrics def binary_metrics_runs_thresholds( y, scores, thresholds, n_obs=None, fill=1.0, obs_axis=0): """Compute binary classification metrics over runs and thresholds. `bmetrics_runs_thresh` is an alias for this function. Computes the following metrics where [i] indicates the i'th column in the array. * [0] neg.precision aka Negative Predictive Value (NPV) * [1] pos.precision aka Positive Predictive Value (PPV) * [2] neg.recall aka True Negative Rate (TNR) aka Specificity * [3] pos.recall aka True Positive Rate (TPR) aka Sensitivity * [4] neg.f1 score * [5] pos.f1 score * [6] False Positive Rate (FPR) * [7] False Negative Rate (FNR) * [8] Accuracy * [9] MCC Parameters ---------- y : np.ndarray[bool, int32, int64, float32, float64] the ground truth labels, if different runs have different number of observations the n_obs parameter must be set to avoid computing metrics of the filled values. If ``y`` is one dimensional and ``scores`` is not the ``y`` values are assumed to be the same for each run. scores : np.array[float32, float64] the classifier scoress, if different runs have different number of observations the n_obs parameter must be set to avoid computing metrics of the filled values. thresholds : np.array[float32, float64] classification thresholds n_obs : np.array[int64], default=None the number of observations per run, if None the same number of observations are assumed exist for each run. fill : double, default=1.0 value to fill when a metric is not defined, e.g. divide by zero. obs_axis : {0, 1}, default=0 0 if the observations for a single run is a column (e.g. from pd.DataFrame) and 1 otherwhise Returns ------- conf_mat : np.ndarray[int64] 3D array where the rows contain the counts for a threshold, the columns the confusion matrix entries and the slices the counts for a run metrics : np.ndarray[float64] 3D array where the first axis is the threshold, the second the metrics and the third the run """ thresholds = check_array( thresholds, max_dim=1, dtype_check=_convert_to_float, ) scores = check_array( scores, axis=obs_axis, target_axis=obs_axis, target_order=1-obs_axis, max_dim=2, dtype_check=_convert_to_float, ) n_runs = scores.shape[1 - obs_axis] max_obs = scores.shape[obs_axis] if y.ndim == 1: y = np.tile(y[:, None], n_runs) elif y.shape[1] == 1 and y.shape[0] >= 2: y = np.tile(y, n_runs) y = check_array( y, axis=obs_axis, target_axis=obs_axis, target_order=1-obs_axis, max_dim=2, dtype_check=_convert_to_ext_types, ) n_thresholds = thresholds.size if n_obs is None: n_obs = np.repeat(max_obs, n_runs) cm = _core.confusion_matrix_runs_thresholds( y, scores, thresholds, n_obs ) mtr = _core.binary_metrics_2d(cm, fill) # cm and mtr are both flat arrays with order conf_mat, thresholds, runs # as this is fastest to create. However, how the cubes will be sliced # later doesn't align with this. So we incur a copy such that the cubes # have the optimal strides for further processing if n_thresholds == 1: # create cube from flat array cm = cm.reshape(n_runs, 4, order='C') else: # create cube from flat array cm = cm.reshape(n_runs, n_thresholds, 4, order='C') # reorder such that with F-order we get from smallest to largest # strides: conf_mat, runs, thresholds cm = np.swapaxes(np.swapaxes(cm, 0, 2), 1, 2) # make values over the confusion matrix and runs contiguous cm = np.asarray(cm, order='F') # change order s.t. we have thresholds, conf_mat, runs cm = np.swapaxes(cm.T, 1, 2) # create cube from flat array # order is runs, thresholds, metrics if n_thresholds == 1: # make values over the runs contiguous mtr = np.asarray(mtr.reshape(n_runs, 10, order='C'), order='F') else: mtr = mtr.reshape(n_runs, n_thresholds, 10, order='C') # make values over the runs contiguous mtr = np.asarray(mtr, order='F') # change order s.t. we have thresholds, metrics, runs mtr = np.swapaxes(mtr.T, 0, 1) return cm, mtr def precision_recall(y, yhat=None, scores=None, threshold=None, fill=1.0, return_df=False): r"""Compute precision and recall. Parameters ---------- y : np.ndarray[bool, int32, int64, float32, float64] true labels for observations yhat : np.ndarray[bool, int32, int64, float32, float64], default=None the predicted labels, the same dtypes are supported as y. Can be `None` if `scores` is not `None`, if both are provided, `scores` is ignored. scores : np.ndarray[float32, float64], default=None the classifier scores to be evaluated against the `threshold`, i.e. `yhat` = `scores` >= `threshold`. Can be `None` if `yhat` is not `None`, if both are provided, this parameter is ignored. threshold : float, default=0.5 the classification threshold to which the classifier scores is evaluated, is inclusive. fill : float, default=1.0 value to fill when a metric is not defined, e.g. divide by zero. return_df : bool, default=False return confusion matrix as pd.DataFrame Returns ------- confusion_matrix : np.ndarray, pd.DataFrame the confusion_matrix with layout [0, 0] = TN, [0, 1] = FP, [1, 0] = FN, [1, 1] = TP prec_rec : np.ndarray, pd.DataFrame precision and recall """ if not isinstance(fill, float): raise TypeError("`fill` must be a float.") y = check_array( y, max_dim=1, dtype_check=_convert_to_ext_types ) if scores is not None: scores = check_array( scores, max_dim=1, dtype_check=_convert_to_float, ) if not isinstance(threshold, float): raise TypeError("`threshold` must be a float if scores is not None") if scores.size != y.size: raise ValueError('`scores` and `y` must have equal length.') conf_mat = _core.confusion_matrix_score(y, scores, threshold) elif yhat is not None: yhat = check_array( yhat, max_dim=1, dtype_check=_convert_to_ext_types, ) if yhat.size != y.size: raise ValueError('`yhat` and `y` must have equal length.') conf_mat = _core.confusion_matrix(y, yhat) else: raise TypeError("`yhat` must not be None if `scores` is None") prec_rec = _core.precision_recall(conf_mat, fill) if return_df: return ( confusion_matrix_to_dataframe(conf_mat), pd.DataFrame(prec_rec, index=['precision', 'recall']).T ) return conf_mat, prec_rec def precision_recall_curve(y, scores, thresholds=None, fill=1.0, return_df=False): """Compute precision and recall over the thresholds. `pr_curve` is an alias for this function. Parameters ---------- y : np.ndarray[bool, int32, int64, float32, float64] true labels for observations scores : np.ndarray[float32, float64] the classifier scores to be evaluated against the `threshold`, i.e. `yhat` = `scores` >= `threshold` threshold : np.ndarray[float32, float64] the classification thresholds to which the classifier scores is evaluated, is inclusive. fill : float, default=1.0 value to fill when a metric is not defined, e.g. divide by zero. return_df : bool, default=False return confusion matrix as pd.DataFrame Returns ------- precision : np.ndarray[float64] the precision for each threshold recall : np.ndarray[float64] the recall for each threshold """ if not isinstance(fill, float): raise TypeError("`fill` must be a float.") y = check_array( y, max_dim=1, dtype_check=_convert_to_ext_types, ) scores = check_array( scores, max_dim=1, dtype_check=_convert_to_float, ) thresholds = check_array( thresholds, max_dim=1, dtype_check=_convert_to_float, ) if scores.size != y.size: raise ValueError('`scores` and `y` must have equal length.') conf_mat = _core.confusion_matrix_thresholds(y, scores, thresholds) metrics = _core.precision_recall_2d(conf_mat, fill) if return_df: df = pd.DataFrame(metrics, columns=['precision', 'recall']) df['thresholds'] = thresholds return df return metrics[:, 0].copy(), metrics[:, 1].copy()

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neovim/plugins/__init__.py

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tarruda/python-client

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neovim/plugins/__init__.py

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from .plugin_host import PluginHost from .script_host import ScriptHost __all__ = ['PluginHost', 'ScriptHost']

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students/admin.py

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58b847aa226b885ca6a7a128035f09de2322519f

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estudeplus/perfil

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

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arcus/__init__.py

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arcus/__init__.py

cuenca-mx/arcus-python

71e35728d75d9413eb62c18bff0abb3a18bf80ac

[ "MIT" ]

2

2019-09-22T03:43:29.000Z

2021-04-19T09:20:24.000Z

__all__ = ['client', 'exc', 'resources', 'Client'] from . import client, exc, resources from .client import Client

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Python

music/admin.py

bvermeulen/Django

e4ef21c2f1fb7d026207c25bd443252c6df354bf

[ "MIT" ]

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2018-12-25T13:56:18.000Z

2019-12-22T16:04:50.000Z

music/admin.py

bvermeulen/Django

e4ef21c2f1fb7d026207c25bd443252c6df354bf

[ "MIT" ]

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2019-12-10T06:22:19.000Z

2022-03-11T23:46:49.000Z

music/admin.py

bvermeulen/Django

e4ef21c2f1fb7d026207c25bd443252c6df354bf

[ "MIT" ]

2

2021-02-16T18:52:19.000Z

2021-03-30T16:40:46.000Z

from django.contrib import admin from music.models import MusicTrack admin.site.register(MusicTrack)

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Python

torchrec/models/tests/test_dlrm.py

xing-liu/torchrec

82ffde7a69fdb9c66b79a753d6f03afa5db3f73e

[ "BSD-3-Clause" ]

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2022-02-23T17:24:14.000Z

2022-03-31T16:52:23.000Z

torchrec/models/tests/test_dlrm.py

xing-liu/torchrec

82ffde7a69fdb9c66b79a753d6f03afa5db3f73e

[ "BSD-3-Clause" ]

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2022-02-23T17:29:56.000Z

2022-03-31T23:44:13.000Z

torchrec/models/tests/test_dlrm.py

xing-liu/torchrec

82ffde7a69fdb9c66b79a753d6f03afa5db3f73e

[ "BSD-3-Clause" ]

68

2022-02-23T17:42:17.000Z

2022-03-28T06:39:55.000Z

#!/usr/bin/env python3 # Copyright (c) Meta Platforms, Inc. and affiliates. # All rights reserved. # # This source code is licensed under the BSD-style license found in the # LICENSE file in the root directory of this source tree. import unittest import torch from torch.testing import FileCheck # @manual from torchrec.fx import symbolic_trace from torchrec.models.dlrm import choose, DenseArch, DLRM, InteractionArch, SparseArch from torchrec.modules.embedding_configs import EmbeddingBagConfig from torchrec.modules.embedding_modules import EmbeddingBagCollection from torchrec.sparse.jagged_tensor import KeyedJaggedTensor class SparseArchTest(unittest.TestCase): def test_basic(self) -> None: torch.manual_seed(0) D = 3 eb1_config = EmbeddingBagConfig( name="t1", embedding_dim=D, num_embeddings=10, feature_names=["f1", "f3"] ) eb2_config = EmbeddingBagConfig( name="t2", embedding_dim=D, num_embeddings=10, feature_names=["f2"], ) ebc = EmbeddingBagCollection(tables=[eb1_config, eb2_config]) sparse_arch = SparseArch(ebc) keys = ["f1", "f2", "f3", "f4", "f5"] offsets = torch.tensor([0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 19]) features = KeyedJaggedTensor.from_offsets_sync( keys=keys, values=torch.tensor( [1, 2, 4, 5, 4, 3, 2, 9, 1, 2, 4, 5, 4, 3, 2, 9, 1, 2, 3] ), offsets=offsets, ) B = (len(offsets) - 1) // len(keys) sparse_features = sparse_arch(features) F = len(sparse_arch.sparse_feature_names) self.assertEqual(sparse_features.shape, (B, F, D)) expected_values = torch.tensor( [ [ [-0.7499, -1.2665, 1.0143], [-0.7499, -1.2665, 1.0143], [3.2276, 2.9643, -0.3816], ], [ [0.0082, 0.6241, -0.1119], [0.0082, 0.6241, -0.1119], [2.0722, -2.2734, -1.6307], ], ] ) self.assertTrue( torch.allclose( sparse_features, expected_values, rtol=1e-4, atol=1e-4, ), ) def test_fx_and_shape(self) -> None: D = 3 eb1_config = EmbeddingBagConfig( name="t1", embedding_dim=D, num_embeddings=10, feature_names=["f1", "f3"] ) eb2_config = EmbeddingBagConfig( name="t2", embedding_dim=D, num_embeddings=10, feature_names=["f2"], ) ebc = EmbeddingBagCollection(tables=[eb1_config, eb2_config]) sparse_arch = SparseArch(ebc) F = len(sparse_arch.sparse_feature_names) gm = symbolic_trace(sparse_arch) FileCheck().check("KeyedJaggedTensor").check("cat").run(gm.code) keys = ["f1", "f2", "f3", "f4", "f5"] offsets = torch.tensor([0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 19]) features = KeyedJaggedTensor.from_offsets_sync( keys=keys, values=torch.tensor( [1, 2, 4, 5, 4, 3, 2, 9, 1, 2, 4, 5, 4, 3, 2, 9, 1, 2, 3] ), offsets=offsets, ) B = (len(offsets) - 1) // len(keys) sparse_features = gm(features) self.assertEqual(sparse_features.shape, (B, F, D)) # TODO(T89043538): Auto-generate this test. def test_fx_script(self) -> None: D = 3 eb1_config = EmbeddingBagConfig( name="t1", embedding_dim=D, num_embeddings=10, feature_names=["f1"] ) eb2_config = EmbeddingBagConfig( name="t2", embedding_dim=D, num_embeddings=10, feature_names=["f2"] ) ebc = EmbeddingBagCollection(tables=[eb1_config, eb2_config]) sparse_arch = SparseArch(ebc) gm = symbolic_trace(sparse_arch) torch.jit.script(gm) class DenseArchTest(unittest.TestCase): def test_basic(self) -> None: torch.manual_seed(0) B = 4 D = 3 in_features = 10 dense_arch = DenseArch(in_features=in_features, layer_sizes=[10, D]) dense_embedded = dense_arch(torch.rand((B, in_features))) self.assertEqual(dense_embedded.size(), (B, D)) expected = torch.tensor( [ [0.2351, 0.1578, 0.2784], [0.1579, 0.1012, 0.2660], [0.2459, 0.2379, 0.2749], [0.2582, 0.2178, 0.2860], ] ) self.assertTrue( torch.allclose( dense_embedded, expected, rtol=1e-4, atol=1e-4, ) ) def test_fx_and_shape(self) -> None: B = 20 D = 3 in_features = 10 dense_arch = DenseArch(in_features=in_features, layer_sizes=[10, D]) gm = symbolic_trace(dense_arch) dense_embedded = gm(torch.rand((B, in_features))) self.assertEqual(dense_embedded.size(), (B, D)) # TODO(T89043538): Auto-generate this test. def test_fx_script(self) -> None: B = 20 D = 3 in_features = 10 dense_arch = DenseArch(in_features=in_features, layer_sizes=[10, D]) gm = symbolic_trace(dense_arch) scripted_gm = torch.jit.script(gm) dense_embedded = scripted_gm(torch.rand((B, in_features))) self.assertEqual(dense_embedded.size(), (B, D)) class InteractionArchTest(unittest.TestCase): def test_basic(self) -> None: D = 3 B = 10 keys = ["f1", "f2"] F = len(keys) inter_arch = InteractionArch(num_sparse_features=F) dense_features = torch.rand((B, D)) sparse_features = torch.rand((B, F, D)) concat_dense = inter_arch(dense_features, sparse_features) # B X (D + F + F choose 2) self.assertEqual(concat_dense.size(), (B, D + F + choose(F, 2))) def test_larger(self) -> None: D = 8 B = 20 keys = ["f1", "f2", "f3", "f4"] F = len(keys) inter_arch = InteractionArch(num_sparse_features=F) dense_features = torch.rand((B, D)) sparse_features = torch.rand((B, F, D)) concat_dense = inter_arch(dense_features, sparse_features) # B X (D + F + F choose 2) self.assertEqual(concat_dense.size(), (B, D + F + choose(F, 2))) def test_fx_and_shape(self) -> None: D = 3 B = 10 keys = ["f1", "f2"] F = len(keys) inter_arch = InteractionArch(num_sparse_features=F) gm = symbolic_trace(inter_arch) dense_features = torch.rand((B, D)) sparse_features = torch.rand((B, F, D)) concat_dense = gm(dense_features, sparse_features) # B X (D + F + F choose 2) self.assertEqual(concat_dense.size(), (B, D + F + choose(F, 2))) # TODO(T89043538): Auto-generate this test. def test_fx_script(self) -> None: D = 3 B = 10 keys = ["f1", "f2"] F = len(keys) inter_arch = InteractionArch(num_sparse_features=F) gm = symbolic_trace(inter_arch) scripted_gm = torch.jit.script(gm) dense_features = torch.rand((B, D)) sparse_features = torch.rand((B, F, D)) concat_dense = scripted_gm(dense_features, sparse_features) # B X (D + F + F choose 2) self.assertEqual(concat_dense.size(), (B, D + F + choose(F, 2))) def test_correctness(self) -> None: D = 4 B = 3 keys = [ "f1", "f2", "f3", "f4", ] F = len(keys) inter_arch = InteractionArch(num_sparse_features=F) torch.manual_seed(0) dense_features = torch.rand((B, D)) sparse_features = torch.rand((B, F, D)) concat_dense = inter_arch(dense_features, sparse_features) # B X (D + F + F choose 2) self.assertEqual(concat_dense.size(), (B, D + F + choose(F, 2))) expected = torch.tensor( [ [ 0.4963, 0.7682, 0.0885, 0.1320, 0.2353, 1.0123, 1.1919, 0.7220, 0.3444, 0.7397, 0.4015, 1.5184, 0.8986, 1.2018, ], [ 0.3074, 0.6341, 0.4901, 0.8964, 1.2787, 0.3275, 1.6734, 0.6325, 0.2089, 1.2982, 0.3977, 0.4200, 0.2475, 0.7834, ], [ 0.4556, 0.6323, 0.3489, 0.4017, 0.8195, 1.1181, 1.0511, 0.4919, 1.6147, 1.0786, 0.4264, 1.3576, 0.5860, 0.6559, ], ] ) self.assertTrue( torch.allclose( concat_dense, expected, rtol=1e-4, atol=1e-4, ) ) def test_numerical_stability(self) -> None: D = 3 B = 6 keys = ["f1", "f2"] F = len(keys) inter_arch = InteractionArch(num_sparse_features=F) torch.manual_seed(0) dense_features = torch.randint(0, 10, (B, D)) sparse_features = torch.randint(0, 10, (B, F, D)) concat_dense = inter_arch(dense_features, sparse_features) expected = torch.LongTensor( [ [4, 9, 3, 61, 57, 63], [0, 3, 9, 84, 27, 45], [7, 3, 7, 34, 50, 25], [3, 1, 6, 21, 50, 91], [6, 9, 8, 125, 109, 74], [6, 6, 8, 18, 80, 21], ] ) self.assertTrue(torch.equal(concat_dense, expected)) class DLRMTest(unittest.TestCase): def test_basic(self) -> None: torch.manual_seed(0) B = 2 D = 8 dense_in_features = 100 eb1_config = EmbeddingBagConfig( name="t1", embedding_dim=D, num_embeddings=100, feature_names=["f1", "f3"] ) eb2_config = EmbeddingBagConfig( name="t2", embedding_dim=D, num_embeddings=100, feature_names=["f2"], ) ebc = EmbeddingBagCollection(tables=[eb1_config, eb2_config]) sparse_nn = DLRM( embedding_bag_collection=ebc, dense_in_features=dense_in_features, dense_arch_layer_sizes=[20, D], over_arch_layer_sizes=[5, 1], ) features = torch.rand((B, dense_in_features)) sparse_features = KeyedJaggedTensor.from_offsets_sync( keys=["f1", "f3", "f2"], values=torch.tensor([1, 2, 4, 5, 4, 3, 2, 9, 1, 2, 3]), offsets=torch.tensor([0, 2, 4, 6, 8, 10, 11]), ) logits = sparse_nn( dense_features=features, sparse_features=sparse_features, ) self.assertEqual(logits.size(), (B, 1)) expected_logits = torch.tensor([[0.5805], [0.5909]]) self.assertTrue( torch.allclose( logits, expected_logits, rtol=1e-4, atol=1e-4, ) ) def test_one_sparse(self) -> None: B = 2 D = 8 dense_in_features = 100 eb1_config = EmbeddingBagConfig( name="t2", embedding_dim=D, num_embeddings=100, feature_names=["f2"], ) ebc = EmbeddingBagCollection(tables=[eb1_config]) sparse_nn = DLRM( embedding_bag_collection=ebc, dense_in_features=dense_in_features, dense_arch_layer_sizes=[20, D], over_arch_layer_sizes=[5, 1], ) features = torch.rand((B, dense_in_features)) sparse_features = KeyedJaggedTensor.from_offsets_sync( keys=["f2"], values=torch.tensor(range(3)), offsets=torch.tensor([0, 2, 3]), ) logits = sparse_nn( dense_features=features, sparse_features=sparse_features, ) self.assertEqual(logits.size(), (B, 1)) def test_no_sparse(self) -> None: ebc = EmbeddingBagCollection(tables=[]) D_unused = 1 with self.assertRaises(AssertionError): DLRM( embedding_bag_collection=ebc, dense_in_features=100, dense_arch_layer_sizes=[20, D_unused], over_arch_layer_sizes=[5, 1], ) def test_fx(self) -> None: B = 2 D = 8 dense_in_features = 100 eb1_config = EmbeddingBagConfig( name="t2", embedding_dim=D, num_embeddings=100, feature_names=["f2"], ) ebc = EmbeddingBagCollection(tables=[eb1_config]) sparse_nn = DLRM( embedding_bag_collection=ebc, dense_in_features=dense_in_features, dense_arch_layer_sizes=[20, D], over_arch_layer_sizes=[5, 1], ) gm = symbolic_trace(sparse_nn) FileCheck().check("KeyedJaggedTensor").check("cat").check("f2").run(gm.code) features = torch.rand((B, dense_in_features)) sparse_features = KeyedJaggedTensor.from_offsets_sync( keys=["f2"], values=torch.tensor(range(3)), offsets=torch.tensor([0, 2, 3]), ) logits = gm( dense_features=features, sparse_features=sparse_features, ) self.assertEqual(logits.size(), (B, 1)) # TODO(T89043538): Auto-generate this test. def test_fx_script(self) -> None: B = 2 D = 8 dense_in_features = 100 eb1_config = EmbeddingBagConfig( name="t1", embedding_dim=D, num_embeddings=100, feature_names=["f1", "f3"] ) eb2_config = EmbeddingBagConfig( name="t2", embedding_dim=D, num_embeddings=100, feature_names=["f2"], ) ebc = EmbeddingBagCollection(tables=[eb1_config, eb2_config]) sparse_nn = DLRM( embedding_bag_collection=ebc, dense_in_features=dense_in_features, dense_arch_layer_sizes=[20, D], over_arch_layer_sizes=[5, 1], ) features = torch.rand((B, dense_in_features)) sparse_features = KeyedJaggedTensor.from_offsets_sync( keys=["f1", "f3", "f2"], values=torch.tensor([1, 2, 4, 5, 4, 3, 2, 9, 1, 2, 3]), offsets=torch.tensor([0, 2, 4, 6, 8, 10, 11]), ) sparse_nn( dense_features=features, sparse_features=sparse_features, ) gm = symbolic_trace(sparse_nn) scripted_gm = torch.jit.script(gm) logits = scripted_gm(features, sparse_features) self.assertEqual(logits.size(), (B, 1))

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Python

pni_report_dashboard/pni_report_dashboard/page/pni_dashboard/pni_dashboard.py

DaizyModi/pni_report_dashboard

709c2903330531c02af9992fc53c744259c84efc

[ "MIT" ]

null

pni_report_dashboard/pni_report_dashboard/page/pni_dashboard/pni_dashboard.py

DaizyModi/pni_report_dashboard

709c2903330531c02af9992fc53c744259c84efc

[ "MIT" ]

null

pni_report_dashboard/pni_report_dashboard/page/pni_dashboard/pni_dashboard.py

DaizyModi/pni_report_dashboard

709c2903330531c02af9992fc53c744259c84efc

[ "MIT" ]

null

import frappe from frappe.utils import date_diff, add_months, today, getdate, add_days @frappe.whitelist() def get_ink(item_group): _date = add_days(today(), -1) sql = frappe.db.sql(""" select sum(sed.qty) from `tabStock Entry Detail` as sed, `tabStock Entry` as se where sed.docstatus=1 and sed.item_group="{1}" and se.posting_date="{0}" and sed.parent = se.name and se.stock_entry_type = "Material Consumption for Manufacture" """.format(_date, item_group)) data = 0 if sql[0] and sql[0][0]: data = sql[0][0] return data @frappe.whitelist() def get_cup_production(item_group, tw = ""): _date = add_days(today(), -1) condition = "" if tw: condition += " and sed.t_warehouse = '{0}'".format(tw) sql = frappe.db.sql(""" select sum(sed.qty) from `tabStock Entry Detail` as sed, `tabStock Entry` as se where sed.docstatus=1 and sed.item_group="{1}" and se.posting_date="{0}" and sed.parent = se.name and se.stock_entry_type = "Manufacture" {2} """.format(_date, item_group, condition)) data = 0 if sql[0] and sql[0][0]: data = sql[0][0] return data @frappe.whitelist() def get_ldpe(): _date = add_days(today(), -1) sql = frappe.db.sql(""" select sum(sed.qty) from `tabStock Entry Detail` as sed, `tabStock Entry` as se where sed.docstatus=1 and sed.item_code="LDP LA 17" and se.posting_date="{0}" and sed.parent = se.name and se.stock_entry_type = "Manufacture" """.format(_date)) data = 0 if sql[0] and sql[0][0]: data = sql[0][0] return data

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py

Python

scipy/optimize/moduleTNC_clr.py

jasonmccampbell/scipy-refactor

52708e04bca51e7043248d56383780b1e51e0d8f

[ "BSD-3-Clause" ]

8

2015-10-07T00:37:32.000Z

2022-01-21T17:02:33.000Z

scipy/optimize/moduleTNC_clr.py

enthought/scipy-refactor

52708e04bca51e7043248d56383780b1e51e0d8f

[ "BSD-3-Clause" ]

null

scipy/optimize/moduleTNC_clr.py

enthought/scipy-refactor

52708e04bca51e7043248d56383780b1e51e0d8f

[ "BSD-3-Clause" ]

8

2015-05-09T14:23:57.000Z

2018-11-15T05:56:00.000Z

import sys if sys.platform == 'cli': import clr clr.AddReference('optimize') from scipy__optimize__moduleTNC import *

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py

Python

02-19-Cuma/inheritance/ChineseChef.py

cihatdev/misha-staj

d0ee95d5e77a7d7a1f16611d49c87be429a25b31

[ "MIT" ]

9

2021-03-16T20:21:54.000Z

2022-01-08T09:15:10.000Z

02-19-Cuma/inheritance/ChineseChef.py

cihatdev/misha-staj

d0ee95d5e77a7d7a1f16611d49c87be429a25b31

[ "MIT" ]

1

2021-02-28T21:27:17.000Z

02-19-Cuma/inheritance/ChineseChef.py

cihatdev/misha-staj

d0ee95d5e77a7d7a1f16611d49c87be429a25b31

[ "MIT" ]

1

2021-05-24T11:34:48.000Z

from Chef import Chef class ChineseChef(Chef): def make_special_dish(self): print("The chef makes orange chicken") def make_fried_rice(self): print("The chef make fried rice")

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py

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Retraces/UkraineBot

3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71

[ "MIT" ]

2

2022-03-13T01:58:52.000Z

2022-03-31T06:07:54.000Z

venv/lib/python3.8/site-packages/numpy/f2py/f2py2e.py

DesmoSearch/Desmobot

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2021-11-20T04:09:18.000Z

2022-03-23T15:05:55.000Z

venv/lib/python3.8/site-packages/numpy/f2py/f2py2e.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

null

/home/runner/.cache/pip/pool/c1/ec/cc/7415585ae840f4099f1c814ea1b5e3eeac6d38b24eff4af9490fd33b2c

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py

Python

api/devjobhubapi/jobs/permissions.py

Mastersam07/devjobhub

b0e80352bd0ff6d6b89c12093cc13b3ceae309ea

[ "MIT" ]

null

api/devjobhubapi/jobs/permissions.py

Mastersam07/devjobhub

b0e80352bd0ff6d6b89c12093cc13b3ceae309ea

[ "MIT" ]

4

2021-04-08T21:20:19.000Z

2021-09-22T19:48:32.000Z

jobs/permissions.py

icvntechstudio/devjobapi

8cc7cc31abe3a96c8fc3b54a579fb663d98bd237

[ "PostgreSQL", "MIT" ]

null

from rest_framework.permissions import BasePermission class IsEmployee(BasePermission): def has_permission(self, request, view): return request.user and request.user.role == 'employee'

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0

1

0

1

0

5

6ac4a9244c73feb26c34586ad97e0c9a72bb2283

140

py

Python

app/api_public/routes.py

benjaminhuanghuang/math_clone

8fd5d5ed878559629101c6c33d61f2ead80a652c

[ "MIT" ]

null

app/api_public/routes.py

benjaminhuanghuang/math_clone

8fd5d5ed878559629101c6c33d61f2ead80a652c

[ "MIT" ]

null

app/api_public/routes.py

benjaminhuanghuang/math_clone

8fd5d5ed878559629101c6c33d61f2ead80a652c

[ "MIT" ]

null

from flask import jsonify from . import api_public @api_public.route('/hello', methods=['GET']) def hello(): return jsonify("Hello")

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140

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0.631579

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null

0

1

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1

0

5

6ac99aea71f8786b83647783f596cf18b1d71016

3,063

py

Python

tests/openbb_terminal/stocks/backtesting/test_bt_view.py

tehcoderer/GamestonkTerminal

54a1b6f545a0016c576e9e00eef5c003d229dacf

[ "MIT" ]

255

2022-03-29T16:43:51.000Z

2022-03-31T23:57:08.000Z

tests/openbb_terminal/stocks/backtesting/test_bt_view.py

tehcoderer/GamestonkTerminal

54a1b6f545a0016c576e9e00eef5c003d229dacf

[ "MIT" ]

14

2022-03-29T14:20:33.000Z

2022-03-31T23:39:20.000Z

tests/openbb_terminal/stocks/backtesting/test_bt_view.py

tehcoderer/GamestonkTerminal

54a1b6f545a0016c576e9e00eef5c003d229dacf

[ "MIT" ]

24

2022-03-29T15:28:56.000Z

2022-03-31T23:54:15.000Z

# IMPORTATION STANDARD from datetime import datetime # IMPORTATION THIRDPARTY import pytest # IMPORTATION INTERNAL from openbb_terminal.stocks import stocks_helper from openbb_terminal.stocks.backtesting import bt_view @pytest.fixture(scope="module") def vcr_config(): return { "filter_headers": [("User-Agent", None)], "filter_query_parameters": [ ("period1", "1598220000"), ("period2", "1635980400"), ], } @pytest.mark.vcr @pytest.mark.record_stdout def test_display_simple_ema(mocker): yf_download = stocks_helper.yf.download def mock_yf_download(*args, **kwargs): kwargs["threads"] = False return yf_download(*args, **kwargs) mocker.patch("yfinance.download", side_effect=mock_yf_download) # MOCK VISUALIZE_OUTPUT mocker.patch(target="openbb_terminal.helper_classes.TerminalStyle.visualize_output") ticker = "PM" start = datetime.strptime("2020-12-01", "%Y-%m-%d") end = datetime.strptime("2020-12-02", "%Y-%m-%d") df_stock = stocks_helper.load_ticker(ticker=ticker, start_date=start, end_date=end) bt_view.display_simple_ema( ticker=ticker, df_stock=df_stock, ema_length=2, spy_bt=True, no_bench=False, export=False, ) @pytest.mark.vcr @pytest.mark.record_stdout def test_display_ema_cross(mocker): yf_download = stocks_helper.yf.download def mock_yf_download(*args, **kwargs): kwargs["threads"] = False return yf_download(*args, **kwargs) mocker.patch("yfinance.download", side_effect=mock_yf_download) # MOCK VISUALIZE_OUTPUT mocker.patch(target="openbb_terminal.helper_classes.TerminalStyle.visualize_output") ticker = "PM" start = datetime.strptime("2020-12-01", "%Y-%m-%d") end = datetime.strptime("2020-12-02", "%Y-%m-%d") df_stock = stocks_helper.load_ticker(ticker=ticker, start_date=start, end_date=end) bt_view.display_ema_cross( ticker=ticker, df_stock=df_stock, short_ema=2, long_ema=2, spy_bt=True, no_bench=False, shortable=True, export=False, ) @pytest.mark.vcr @pytest.mark.record_stdout def test_display_rsi_strategy(mocker): yf_download = stocks_helper.yf.download def mock_yf_download(*args, **kwargs): kwargs["threads"] = False return yf_download(*args, **kwargs) mocker.patch("yfinance.download", side_effect=mock_yf_download) # MOCK VISUALIZE_OUTPUT mocker.patch(target="openbb_terminal.helper_classes.TerminalStyle.visualize_output") ticker = "PM" start = datetime.strptime("2020-12-01", "%Y-%m-%d") end = datetime.strptime("2020-12-02", "%Y-%m-%d") df_stock = stocks_helper.load_ticker(ticker=ticker, start_date=start, end_date=end) bt_view.display_rsi_strategy( ticker=ticker, df_stock=df_stock, periods=2, low_rsi=2, high_rsi=2, spy_bt=True, no_bench=False, shortable=True, export=False, )

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0.749872

0.738642

0

0.03116

0.203722

3,063

109

89

28.100917

0.772038

0.042442

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0.185185

0

null

0

1

0

null

0

5

6aef9d1088e42cef261bc4d0127c8a4b2c4bb2fa

53

py

Python

enthought/pyface/directory_dialog.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

3

2016-12-09T06:05:18.000Z

2018-03-01T13:00:29.000Z

enthought/pyface/directory_dialog.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

1

2020-12-02T00:51:32.000Z

2020-12-02T08:48:55.000Z

enthought/pyface/directory_dialog.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

null

# proxy module from pyface.directory_dialog import *

17.666667

37

0.811321

7

53

6

1

0

0.132075

53

2

38

26.5

0.913043

0.226415

0

1

0

true

0

1

0

1

0

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null

0

1

0

null

0

1

0

1

0

1

0

5

0a7526f9708caa1d2e106bcbeff0e40f452b7a46

172

py

Python

lime/database/db.py

toastwaffle/LiME

7d529d9eaeb9de7a9aebe6aa373e1b3611bfd2ad

[ "MIT" ]

null

lime/database/db.py

toastwaffle/LiME

7d529d9eaeb9de7a9aebe6aa373e1b3611bfd2ad

[ "MIT" ]

69

2018-02-04T15:08:07.000Z

2020-03-19T22:04:16.000Z

lime/database/db.py

toastwaffle/LiME

7d529d9eaeb9de7a9aebe6aa373e1b3611bfd2ad

[ "MIT" ]

null

"""Create the SQLAlchemy connection object.""" import flask_sqlalchemy from . import custom_model DB = flask_sqlalchemy.SQLAlchemy(model_class=custom_model.CustomModel)

21.5

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0.819767

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6.47619

0.619048

0.220588

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172

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71

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null

0

1

0

1

0

5

0a931ee62ba7d473b041d57b9fcbf79d02b13234

28

py

Python

Chapter01/single_quote_inside_quotes1.py

kaushalkumarshah/Learn-Python-in-7-Days

2663656767c8959ace836f0c0e272f3e501bbe6e

[ "MIT" ]

12

2018-07-09T16:20:31.000Z

2022-03-21T22:52:15.000Z

Chapter01/single_quote_inside_quotes1.py

kaushalkumarshah/Learn-Python-in-7-Days

2663656767c8959ace836f0c0e272f3e501bbe6e

[ "MIT" ]

null

Chapter01/single_quote_inside_quotes1.py

kaushalkumarshah/Learn-Python-in-7-Days

2663656767c8959ace836f0c0e272f3e501bbe6e

[ "MIT" ]

19

2018-01-09T12:49:06.000Z

2021-11-23T08:05:55.000Z

print 'Hey there it's a cow'

28

0.714286

7

28

2.857143

1

0

0.178571

28

1

28

0.869565

0

0.413793

0

null

0

null

1

0

null

0

1

0

null

0

1

0

1

0

5

0a9914bd3de67979c0fd54c3b8a69c1f5adbadf4

8,424

py

Python

tests/test_inline_functions/test_selection_queries.py

JourneyG/pymapdl

23fdc008c151c0546504e4ef8257a64f5f169100

[ "MIT" ]

1

2021-07-28T00:42:53.000Z

tests/test_inline_functions/test_selection_queries.py

JourneyG/pymapdl

23fdc008c151c0546504e4ef8257a64f5f169100

[ "MIT" ]

null

tests/test_inline_functions/test_selection_queries.py

JourneyG/pymapdl

23fdc008c151c0546504e4ef8257a64f5f169100

[ "MIT" ]

null

from ansys.mapdl.core.inline_functions import SelectionStatus import pytest class TestSelectionStatus: @pytest.mark.parametrize('value', [1, -1, 0, 1., -1., 0.]) def test_happy(self, value): select = SelectionStatus(value) assert select == value assert select is not value @pytest.mark.parametrize('value', [1.5, 999, 99., '1']) def test_unhappy(self, value): with pytest.raises(ValueError): SelectionStatus(value) class TestNSEL: def test_selected(self, selection_test_geometry): q = selection_test_geometry q._mapdl.nsel('S', 'LOC', 'X', 0) node = q.node(0, 0, 0) select = q.nsel(node) assert select == 1 def test_unselected(self, selection_test_geometry): q = selection_test_geometry node = q.node(0, 0, 0) q._mapdl.nsel('NONE') select = q.nsel(node) assert select == -1 def test_undefined(self, selection_test_geometry): q = selection_test_geometry select = q.nsel(999) assert select == 0 class TestKSEL: def test_selected(self, selection_test_geometry): q = selection_test_geometry q._mapdl.ksel('S', 'LOC', 'X', 0) node = q.kp(0, 0, 0) select = q.ksel(node) assert select == 1 def test_unselected(self, selection_test_geometry): q = selection_test_geometry node = q.kp(0, 0, 0) q._mapdl.ksel('NONE') select = q.ksel(node) assert select == -1 def test_undefined(self, selection_test_geometry): q = selection_test_geometry select = q.ksel(999) assert select == 0 class TestLSEL: def test_selected(self, selection_test_geometry): q = selection_test_geometry q._mapdl.lsel('all') # there are 6 lines numbered 1-6 for line in range(1, 7, 1): select = q.lsel(line) assert select == 1 def test_unselected(self, selection_test_geometry): q = selection_test_geometry q._mapdl.lsel('NONE') for line in range(1, 7, 1): select = q.lsel(line) assert select == -1 def test_undefined(self, selection_test_geometry): q = selection_test_geometry select = q.lsel(999) assert select == 0 class TestASEL: def test_selected(self, selection_test_geometry): q = selection_test_geometry q._mapdl.asel('all') # there are 4 areas numbered 1-4 for area in range(1, 5, 1): select = q.asel(area) assert select == 1 def test_unselected(self, selection_test_geometry): q = selection_test_geometry q._mapdl.asel('NONE') for area in range(1, 5, 1): select = q.asel(area) assert select == -1 def test_undefined(self, selection_test_geometry): q = selection_test_geometry select = q.asel(999) assert select == 0 class TestESEL: def test_selected(self, selection_test_geometry): q = selection_test_geometry q._mapdl.esel('all') # there are at least 4 elements numbered 1-4 for element in range(1, 5, 1): select = q.esel(element) assert select == 1 def test_unselected(self, selection_test_geometry): q = selection_test_geometry q._mapdl.esel('NONE') for element in range(1, 5, 1): select = q.esel(element) assert select == -1 def test_undefined(self, selection_test_geometry): q = selection_test_geometry select = q.esel(999) assert select == 0 class TestVSEL: def test_selected(self, selection_test_geometry): q = selection_test_geometry q._mapdl.vsel('all') select = q.vsel(1) assert select == 1 def test_unselected(self, selection_test_geometry): q = selection_test_geometry q._mapdl.vsel('NONE') select = q.vsel(1) assert select == -1 def test_undefined(self, selection_test_geometry): q = selection_test_geometry select = q.vsel(999) assert select == 0 class TestNDNEXT: def test_existing_nodes(self, selection_test_geometry, common_functions_and_classes): get_details_of_nodes, get_details_of_elements, _, _ = \ common_functions_and_classes q = selection_test_geometry nodes = get_details_of_nodes(q._mapdl) next_ = q.ndnext(1) assert next_ in nodes def test_unselected_nodes(self, selection_test_geometry, common_functions_and_classes): get_details_of_nodes, get_details_of_elements, _, _ = \ common_functions_and_classes q = selection_test_geometry nodes = get_details_of_nodes(q._mapdl) last_node = len(nodes) next_ = q.ndnext(last_node) assert next_ == 0 def test_non_existing_nodes(self, selection_test_geometry): q = selection_test_geometry next_ = q.ndnext(999) assert next_ == 0 class TestELNEXT: def test_existing_elements(self, selection_test_geometry, common_functions_and_classes): get_details_of_nodes, get_details_of_elements, _, _ = \ common_functions_and_classes q = selection_test_geometry elements = get_details_of_elements(q._mapdl) next_ = q.elnext(1) assert next_ in elements def test_unselected_elements(self, selection_test_geometry, common_functions_and_classes): get_details_of_nodes, get_details_of_elements, _, _ = \ common_functions_and_classes q = selection_test_geometry elements = get_details_of_elements(q._mapdl) last_element = len(elements) next_ = q.elnext(last_element) assert next_ == 0 def test_non_existing_elements(self, selection_test_geometry): q = selection_test_geometry next_ = q.elnext(999) assert next_ == 0 class TestKPNEXT: def test_existing_kps(self, selection_test_geometry): q = selection_test_geometry next_ = q.kpnext(1) assert next_ == 2 def test_unselected_kps(self, selection_test_geometry): q = selection_test_geometry next_ = q.kpnext(4) assert next_ == 0 def test_non_existing_kps(self, selection_test_geometry): q = selection_test_geometry next_ = q.kpnext(999) assert next_ == 0 class TestLSNEXT: def test_existing_lines(self, selection_test_geometry): # there are 6 lines in in the selection_test_geometry fixture q = selection_test_geometry next_ = q.lsnext(1) assert next_ == 2 def test_unselected_lines(self, selection_test_geometry): q = selection_test_geometry next_ = q.lsnext(6) assert next_ == 0 def test_non_existing_lines(self, selection_test_geometry): q = selection_test_geometry next_ = q.lsnext(999) assert next_ == 0 class TestARNEXT: def test_existing_areas(self, selection_test_geometry): # there are 4 areas in in the selection_test_geometry fixture q = selection_test_geometry next_ = q.arnext(1) assert next_ == 2 def test_unselected_areas(self, selection_test_geometry): q = selection_test_geometry next_ = q.arnext(4) assert next_ == 0 def test_non_existing_areas(self, selection_test_geometry): q = selection_test_geometry next_ = q.arnext(999) assert next_ == 0 class TestVLNEXT: @staticmethod def make_volumes(mapdl): mapdl.prep7() point1 = mapdl.k(999, 0, 10, 0) point2 = mapdl.k(99, 0, 0, 10) kps = [mapdl.k(i + 1, i, 0, 0) for i in range(10)] vols = [mapdl.v(i, i + 1, point1, point2) for i in kps[:-1]] return vols def test_existing_volumes(self, query): q = query _ = self.make_volumes(q._mapdl) next_ = q.vlnext(1) assert next_ == 2 def test_unselected_volumes(self, query): q = query vols = self.make_volumes(q._mapdl) next_ = q.vlnext(len(vols)) assert next_ == 0 def test_non_existing_volumes(self, query): next_ = query.vlnext(999) assert next_ == 0

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0.165179

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null

0

1

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1

0

null

0

5

0aa86ce31d5276d2cd39d1100d7110966948923e

34,414

py

Python

src/sage/manifolds/differentiable/diff_form_module.py

LaisRast/sage

5fb2a6ea44400e469caee82748cf863ca0c5f724

[ "BSL-1.0" ]

null

src/sage/manifolds/differentiable/diff_form_module.py

LaisRast/sage

5fb2a6ea44400e469caee82748cf863ca0c5f724

[ "BSL-1.0" ]

null

src/sage/manifolds/differentiable/diff_form_module.py

LaisRast/sage

5fb2a6ea44400e469caee82748cf863ca0c5f724

[ "BSL-1.0" ]

null

r""" Differential Form Modules The set `\Omega^p(U, \Phi)` of `p`-forms along a differentiable manifold `U` with values on a differentiable manifold `M` via a differentiable map `\Phi:\ U \rightarrow M` (possibly `U = M` and `\Phi = \mathrm{Id}_M`) is a module over the algebra `C^k(U)` of differentiable scalar fields on `U`. It is a free module if and only if `M` is parallelizable. Accordingly, two classes implement `\Omega^p(U, \Phi)`: - :class:`DiffFormModule` for differential forms with values on a generic (in practice, not parallelizable) differentiable manifold `M` - :class:`DiffFormFreeModule` for differential forms with values on a parallelizable manifold `M` AUTHORS: - Eric Gourgoulhon (2015): initial version - Travis Scrimshaw (2016): review tweaks REFERENCES: - [KN1963]_ - [Lee2013]_ """ # ***************************************************************************** # Copyright (C) 2015 Eric Gourgoulhon <eric.gourgoulhon@obspm.fr> # Copyright (C) 2016 Travis Scrimshaw <tscrimsh@umn.edu> # # Distributed under the terms of the GNU General Public License (GPL) # as published by the Free Software Foundation; either version 2 of # the License, or (at your option) any later version. # https://www.gnu.org/licenses/ # ***************************************************************************** from sage.misc.cachefunc import cached_method from sage.structure.unique_representation import UniqueRepresentation from sage.structure.parent import Parent from sage.categories.modules import Modules from sage.tensor.modules.ext_pow_free_module import ExtPowerDualFreeModule from sage.manifolds.differentiable.diff_form import DiffForm, DiffFormParal from sage.manifolds.differentiable.tensorfield import TensorField from sage.manifolds.differentiable.tensorfield_paral import TensorFieldParal class DiffFormModule(UniqueRepresentation, Parent): r""" Module of differential forms of a given degree `p` (`p`-forms) along a differentiable manifold `U` with values on a differentiable manifold `M`. Given a differentiable manifold `U` and a differentiable map `\Phi: U \rightarrow M` to a differentiable manifold `M`, the set `\Omega^p(U, \Phi)` of `p`-forms along `U` with values on `M` is a module over `C^k(U)`, the commutative algebra of differentiable scalar fields on `U` (see :class:`~sage.manifolds.differentiable.scalarfield_algebra.DiffScalarFieldAlgebra`). The standard case of `p`-forms *on* a differentiable manifold `M` corresponds to `U = M` and `\Phi = \mathrm{Id}_M`. Other common cases are `\Phi` being an immersion and `\Phi` being a curve in `M` (`U` is then an open interval of `\RR`). .. NOTE:: This class implements `\Omega^p(U,\Phi)` in the case where `M` is not assumed to be parallelizable; the module `\Omega^p(U, \Phi)` is then not necessarily free. If `M` is parallelizable, the class :class:`DiffFormFreeModule` must be used instead. INPUT: - ``vector_field_module`` -- module `\mathfrak{X}(U, \Phi)` of vector fields along `U` with values on `M` via the map `\Phi: U \rightarrow M` - ``degree`` -- positive integer; the degree `p` of the differential forms EXAMPLES: Module of 2-forms on a non-parallelizable 2-dimensional manifold:: sage: M = Manifold(2, 'M') sage: U = M.open_subset('U') ; V = M.open_subset('V') sage: M.declare_union(U,V) # M is the union of U and V sage: c_xy.<x,y> = U.chart() ; c_uv.<u,v> = V.chart() sage: transf = c_xy.transition_map(c_uv, (x+y, x-y), ....: intersection_name='W', restrictions1= x>0, restrictions2= u+v>0) sage: inv = transf.inverse() sage: W = U.intersection(V) sage: eU = c_xy.frame() ; eV = c_uv.frame() sage: XM = M.vector_field_module() ; XM Module X(M) of vector fields on the 2-dimensional differentiable manifold M sage: A = M.diff_form_module(2) ; A Module Omega^2(M) of 2-forms on the 2-dimensional differentiable manifold M sage: latex(A) \Omega^{2}\left(M\right) ``A`` is nothing but the second exterior power of the dual of ``XM``, i.e. we have `\Omega^{2}(M) = \Lambda^2(\mathfrak{X}(M)^*)`:: sage: A is XM.dual_exterior_power(2) True Modules of differential forms are unique:: sage: A is M.diff_form_module(2) True `\Omega^2(M)` is a module over the algebra `C^k(M)` of (differentiable) scalar fields on `M`:: sage: A.category() Category of modules over Algebra of differentiable scalar fields on the 2-dimensional differentiable manifold M sage: CM = M.scalar_field_algebra() ; CM Algebra of differentiable scalar fields on the 2-dimensional differentiable manifold M sage: A in Modules(CM) True sage: A.base_ring() is CM True sage: A.base_module() Module X(M) of vector fields on the 2-dimensional differentiable manifold M sage: A.base_module() is XM True Elements can be constructed from ``A()``. In particular, ``0`` yields the zero element of ``A``:: sage: z = A(0) ; z 2-form zero on the 2-dimensional differentiable manifold M sage: z.display(eU) zero = 0 sage: z.display(eV) zero = 0 sage: z is A.zero() True while non-zero elements are constructed by providing their components in a given vector frame:: sage: a = A([[0,3*x],[-3*x,0]], frame=eU, name='a') ; a 2-form a on the 2-dimensional differentiable manifold M sage: a.add_comp_by_continuation(eV, W, c_uv) # finishes initializ. of a sage: a.display(eU) a = 3*x dx∧dy sage: a.display(eV) a = (-3/4*u - 3/4*v) du∧dv An alternative is to construct the 2-form from an empty list of components and to set the nonzero nonredundant components afterwards:: sage: a = A([], name='a') sage: a[eU,0,1] = 3*x sage: a.add_comp_by_continuation(eV, W, c_uv) sage: a.display(eU) a = 3*x dx∧dy sage: a.display(eV) a = (-3/4*u - 3/4*v) du∧dv The module `\Omega^1(M)` is nothing but the dual of `\mathfrak{X}(M)` (the module of vector fields on `M`):: sage: L1 = M.diff_form_module(1) ; L1 Module Omega^1(M) of 1-forms on the 2-dimensional differentiable manifold M sage: L1 is XM.dual() True Since any tensor field of type `(0,1)` is a 1-form, there is a coercion map from the set `T^{(0,1)}(M)` of such tensors to `\Omega^1(M)`:: sage: T01 = M.tensor_field_module((0,1)) ; T01 Module T^(0,1)(M) of type-(0,1) tensors fields on the 2-dimensional differentiable manifold M sage: L1.has_coerce_map_from(T01) True There is also a coercion map in the reverse direction:: sage: T01.has_coerce_map_from(L1) True For a degree `p \geq 2`, the coercion holds only in the direction `\Omega^p(M)\rightarrow T^{(0,p)}(M)`:: sage: T02 = M.tensor_field_module((0,2)) ; T02 Module T^(0,2)(M) of type-(0,2) tensors fields on the 2-dimensional differentiable manifold M sage: T02.has_coerce_map_from(A) True sage: A.has_coerce_map_from(T02) False The coercion map `T^{(0,1)}(M) \rightarrow \Omega^1(M)` in action:: sage: b = T01([y,x], frame=eU, name='b') ; b Tensor field b of type (0,1) on the 2-dimensional differentiable manifold M sage: b.add_comp_by_continuation(eV, W, c_uv) sage: b.display(eU) b = y dx + x dy sage: b.display(eV) b = 1/2*u du - 1/2*v dv sage: lb = L1(b) ; lb 1-form b on the 2-dimensional differentiable manifold M sage: lb.display(eU) b = y dx + x dy sage: lb.display(eV) b = 1/2*u du - 1/2*v dv The coercion map `\Omega^1(M) \rightarrow T^{(0,1)}(M)` in action:: sage: tlb = T01(lb) ; tlb Tensor field b of type (0,1) on the 2-dimensional differentiable manifold M sage: tlb.display(eU) b = y dx + x dy sage: tlb.display(eV) b = 1/2*u du - 1/2*v dv sage: tlb == b True The coercion map `\Omega^2(M) \rightarrow T^{(0,2)}(M)` in action:: sage: ta = T02(a) ; ta Tensor field a of type (0,2) on the 2-dimensional differentiable manifold M sage: ta.display(eU) a = 3*x dx⊗dy - 3*x dy⊗dx sage: a.display(eU) a = 3*x dx∧dy sage: ta.display(eV) a = (-3/4*u - 3/4*v) du⊗dv + (3/4*u + 3/4*v) dv⊗du sage: a.display(eV) a = (-3/4*u - 3/4*v) du∧dv There is also coercion to subdomains, which is nothing but the restriction of the differential form to some subset of its domain:: sage: L2U = U.diff_form_module(2) ; L2U Free module Omega^2(U) of 2-forms on the Open subset U of the 2-dimensional differentiable manifold M sage: L2U.has_coerce_map_from(A) True sage: a_U = L2U(a) ; a_U 2-form a on the Open subset U of the 2-dimensional differentiable manifold M sage: a_U.display(eU) a = 3*x dx∧dy """ Element = DiffForm def __init__(self, vector_field_module, degree): r""" Construction a module of differential forms. TESTS: Module of 2-forms on a non-parallelizable 2-dimensional manifold:: sage: M = Manifold(2, 'M') sage: U = M.open_subset('U') ; V = M.open_subset('V') sage: M.declare_union(U,V) # M is the union of U and V sage: c_xy.<x,y> = U.chart() ; c_uv.<u,v> = V.chart() sage: transf = c_xy.transition_map(c_uv, (x+y, x-y), ....: intersection_name='W', restrictions1= x>0, ....: restrictions2= u+v>0) sage: inv = transf.inverse() sage: from sage.manifolds.differentiable.diff_form_module import \ ....: DiffFormModule sage: A = DiffFormModule(M.vector_field_module(), 2) ; A Module Omega^2(M) of 2-forms on the 2-dimensional differentiable manifold M sage: TestSuite(A).run(skip='_test_elements') In the above test suite, ``_test_elements`` is skipped because of the ``_test_pickling`` error of the elements (to be fixed in :class:`sage.manifolds.differentiable.tensorfield.TensorField`) """ domain = vector_field_module._domain dest_map = vector_field_module._dest_map name = "Omega^{}(".format(degree) + domain._name latex_name = r"\Omega^{{{}}}\left({}".format(degree, domain._latex_name) if dest_map is not domain.identity_map(): dm_name = dest_map._name dm_latex_name = dest_map._latex_name if dm_name is None: dm_name = "unnamed map" if dm_latex_name is None: dm_latex_name = r"\mathrm{unnamed\; map}" name += "," + dm_name latex_name += "," + dm_latex_name self._name = name + ")" self._latex_name = latex_name + r"\right)" self._vmodule = vector_field_module self._degree = degree # the member self._ring is created for efficiency (to avoid calls to # self.base_ring()): self._ring = domain.scalar_field_algebra() Parent.__init__(self, base=self._ring, category=Modules(self._ring)) self._domain = domain self._dest_map = dest_map self._ambient_domain = vector_field_module._ambient_domain # NB: self._zero_element is not constructed here, since no element # can be constructed here, to avoid some infinite recursion. #### Parent methods def _element_constructor_(self, comp=[], frame=None, name=None, latex_name=None): r""" Construct a differential form. TESTS:: sage: M = Manifold(2, 'M') sage: U = M.open_subset('U'); V = M.open_subset('V') sage: c_xy.<x,y> = U.chart(); c_uv.<u,v> = V.chart() sage: M.declare_union(U,V) sage: A = M.diff_form_module(2) sage: a = A([[0, x*y], [-x*y, 0]], name='a'); a 2-form a on the 2-dimensional differentiable manifold M sage: a.display(c_xy.frame()) a = x*y dx∧dy sage: A(0) is A.zero() True """ try: if comp.is_trivial_zero(): return self.zero() except AttributeError: if comp == 0: return self.zero() if isinstance(comp, (DiffForm, DiffFormParal)): # coercion by domain restriction if (self._degree == comp._tensor_type[1] and self._domain.is_subset(comp._domain) and self._ambient_domain.is_subset(comp._ambient_domain)): return comp.restrict(self._domain) else: raise TypeError("cannot convert the {} ".format(comp) + "to an element of {}".format(self)) if isinstance(comp, TensorField): # coercion of a tensor of type (0,1) to a linear form tensor = comp # for readability if (tensor.tensor_type() == (0,1) and self._degree == 1 and tensor._vmodule is self._vmodule): resu = self.element_class(self._vmodule, 1, name=tensor._name, latex_name=tensor._latex_name) for dom, rst in tensor._restrictions.items(): resu._restrictions[dom] = dom.diff_form_module(1)(rst) return resu else: raise TypeError("cannot convert the {} ".format(tensor) + "to an element of {}".format(self)) if not isinstance(comp, (list, tuple)): raise TypeError("cannot convert the {} ".format(comp) + "to an element of {}".format(self)) # standard construction resu = self.element_class(self._vmodule, self._degree, name=name, latex_name=latex_name) if comp: resu.set_comp(frame)[:] = comp return resu def _an_element_(self): r""" Construct some (unnamed) differential form. TESTS:: sage: M = Manifold(2, 'M') sage: U = M.open_subset('U'); V = M.open_subset('V') sage: c_xy.<x,y> = U.chart(); c_uv.<u,v> = V.chart() sage: M.declare_union(U,V) sage: A = M.diff_form_module(2) sage: A._an_element_() 2-form on the 2-dimensional differentiable manifold M """ resu = self.element_class(self._vmodule, self._degree) for oc in self._domain.open_covers(trivial=False): # the first non-trivial open cover is selected for dom in oc: vmodule_dom = dom.vector_field_module( dest_map=self._dest_map.restrict(dom)) dmodule_dom = vmodule_dom.dual_exterior_power(self._degree) resu.set_restriction(dmodule_dom._an_element_()) return resu return resu def _coerce_map_from_(self, other): r""" Determine whether coercion to ``self`` exists from other parent. TESTS:: sage: M = Manifold(3, 'M') sage: A1 = M.diff_form_module(1) sage: A1._coerce_map_from_(M.tensor_field_module((0,1))) True sage: A2 = M.diff_form_module(2) sage: A2._coerce_map_from_(M.tensor_field_module((0,2))) False sage: U = M.open_subset('U') sage: A2U = U.diff_form_module(2) sage: A2U._coerce_map_from_(A2) True sage: A2._coerce_map_from_(A2U) False """ if isinstance(other, (DiffFormModule, DiffFormFreeModule)): # coercion by domain restriction return (self._degree == other._degree and self._domain.is_subset(other._domain) and self._ambient_domain.is_subset(other._ambient_domain)) from sage.manifolds.differentiable.tensorfield_module import TensorFieldModule if isinstance(other, TensorFieldModule): # coercion of a type-(0,1) tensor to a linear form return (self._vmodule is other._vmodule and self._degree == 1 and other.tensor_type() == (0,1)) return False @cached_method def zero(self): """ Return the zero of ``self``. EXAMPLES:: sage: M = Manifold(3, 'M') sage: A2 = M.diff_form_module(2) sage: A2.zero() 2-form zero on the 3-dimensional differentiable manifold M """ zero = self._element_constructor_(name='zero', latex_name='0') for frame in self._domain._frames: if self._dest_map.restrict(frame._domain) == frame._dest_map: zero.add_comp(frame) # (since new components are initialized to zero) zero._is_zero = True # This element is certainly zero zero.set_immutable() return zero #### End of Parent methods def _repr_(self): r""" Return a string representation of the object. TESTS:: sage: M = Manifold(3, 'M') sage: A2 = M.diff_form_module(2) sage: A2 Module Omega^2(M) of 2-forms on the 3-dimensional differentiable manifold M """ description = "Module " if self._name is not None: description += self._name + " " description += "of {}-forms ".format(self._degree) if self._dest_map is self._domain.identity_map(): description += "on the {}".format(self._domain) else: description += "along the {} mapped into the {}".format( self._domain, self._ambient_domain) return description def _latex_(self): r""" Return a LaTeX representation of the object. TESTS:: sage: M = Manifold(3, 'M', latex_name=r'\mathcal{M}') sage: A2 = M.diff_form_module(2) sage: A2._latex_() '\\Omega^{2}\\left(\\mathcal{M}\\right)' sage: latex(A2) # indirect doctest \Omega^{2}\left(\mathcal{M}\right) """ if self._latex_name is None: return r'\mbox{' + str(self) + r'}' else: return self._latex_name def base_module(self): r""" Return the vector field module on which the differential form module ``self`` is constructed. OUTPUT: - a :class:`~sage.manifolds.differentiable.vectorfield_module.VectorFieldModule` representing the module on which ``self`` is defined EXAMPLES:: sage: M = Manifold(3, 'M') sage: A2 = M.diff_form_module(2) ; A2 Module Omega^2(M) of 2-forms on the 3-dimensional differentiable manifold M sage: A2.base_module() Module X(M) of vector fields on the 3-dimensional differentiable manifold M sage: A2.base_module() is M.vector_field_module() True sage: U = M.open_subset('U') sage: A2U = U.diff_form_module(2) ; A2U Module Omega^2(U) of 2-forms on the Open subset U of the 3-dimensional differentiable manifold M sage: A2U.base_module() Module X(U) of vector fields on the Open subset U of the 3-dimensional differentiable manifold M """ return self._vmodule def degree(self): r""" Return the degree of the differential forms in ``self``. OUTPUT: - integer `p` such that ``self`` is a set of `p`-forms EXAMPLES:: sage: M = Manifold(3, 'M') sage: M.diff_form_module(1).degree() 1 sage: M.diff_form_module(2).degree() 2 sage: M.diff_form_module(3).degree() 3 """ return self._degree # ***************************************************************************** class DiffFormFreeModule(ExtPowerDualFreeModule): r""" Free module of differential forms of a given degree `p` (`p`-forms) along a differentiable manifold `U` with values on a parallelizable manifold `M`. Given a differentiable manifold `U` and a differentiable map `\Phi:\; U \rightarrow M` to a parallelizable manifold `M` of dimension `n`, the set `\Omega^p(U, \Phi)` of `p`-forms along `U` with values on `M` is a free module of rank `\binom{n}{p}` over `C^k(U)`, the commutative algebra of differentiable scalar fields on `U` (see :class:`~sage.manifolds.differentiable.scalarfield_algebra.DiffScalarFieldAlgebra`). The standard case of `p`-forms *on* a differentiable manifold `M` corresponds to `U = M` and `\Phi = \mathrm{Id}_M`. Other common cases are `\Phi` being an immersion and `\Phi` being a curve in `M` (`U` is then an open interval of `\RR`). .. NOTE:: This class implements `\Omega^p(U, \Phi)` in the case where `M` is parallelizable; `\Omega^p(U, \Phi)` is then a *free* module. If `M` is not parallelizable, the class :class:`DiffFormModule` must be used instead. INPUT: - ``vector_field_module`` -- free module `\mathfrak{X}(U,\Phi)` of vector fields along `U` associated with the map `\Phi: U \rightarrow V` - ``degree`` -- positive integer; the degree `p` of the differential forms EXAMPLES: Free module of 2-forms on a parallelizable 3-dimensional manifold:: sage: M = Manifold(3, 'M') sage: X.<x,y,z> = M.chart() sage: XM = M.vector_field_module() ; XM Free module X(M) of vector fields on the 3-dimensional differentiable manifold M sage: A = M.diff_form_module(2) ; A Free module Omega^2(M) of 2-forms on the 3-dimensional differentiable manifold M sage: latex(A) \Omega^{2}\left(M\right) ``A`` is nothing but the second exterior power of the dual of ``XM``, i.e. we have `\Omega^{2}(M) = \Lambda^2(\mathfrak{X}(M)^*)` (see :class:`~sage.tensor.modules.ext_pow_free_module.ExtPowerDualFreeModule`):: sage: A is XM.dual_exterior_power(2) True `\Omega^{2}(M)` is a module over the algebra `C^k(M)` of (differentiable) scalar fields on `M`:: sage: A.category() Category of finite dimensional modules over Algebra of differentiable scalar fields on the 3-dimensional differentiable manifold M sage: CM = M.scalar_field_algebra() ; CM Algebra of differentiable scalar fields on the 3-dimensional differentiable manifold M sage: A in Modules(CM) True sage: A.base_ring() Algebra of differentiable scalar fields on the 3-dimensional differentiable manifold M sage: A.base_module() Free module X(M) of vector fields on the 3-dimensional differentiable manifold M sage: A.base_module() is XM True sage: A.rank() 3 Elements can be constructed from `A`. In particular, ``0`` yields the zero element of `A`:: sage: A(0) 2-form zero on the 3-dimensional differentiable manifold M sage: A(0) is A.zero() True while non-zero elements are constructed by providing their components in a given vector frame:: sage: comp = [[0,3*x,-z],[-3*x,0,4],[z,-4,0]] sage: a = A(comp, frame=X.frame(), name='a') ; a 2-form a on the 3-dimensional differentiable manifold M sage: a.display() a = 3*x dx∧dy - z dx∧dz + 4 dy∧dz An alternative is to construct the 2-form from an empty list of components and to set the nonzero nonredundant components afterwards:: sage: a = A([], name='a') sage: a[0,1] = 3*x # component in the manifold's default frame sage: a[0,2] = -z sage: a[1,2] = 4 sage: a.display() a = 3*x dx∧dy - z dx∧dz + 4 dy∧dz The module `\Omega^1(M)` is nothing but the dual of `\mathfrak{X}(M)` (the free module of vector fields on `M`):: sage: L1 = M.diff_form_module(1) ; L1 Free module Omega^1(M) of 1-forms on the 3-dimensional differentiable manifold M sage: L1 is XM.dual() True Since any tensor field of type `(0,1)` is a 1-form, there is a coercion map from the set `T^{(0,1)}(M)` of such tensors to `\Omega^1(M)`:: sage: T01 = M.tensor_field_module((0,1)) ; T01 Free module T^(0,1)(M) of type-(0,1) tensors fields on the 3-dimensional differentiable manifold M sage: L1.has_coerce_map_from(T01) True There is also a coercion map in the reverse direction:: sage: T01.has_coerce_map_from(L1) True For a degree `p \geq 2`, the coercion holds only in the direction `\Omega^p(M) \rightarrow T^{(0,p)}(M)`:: sage: T02 = M.tensor_field_module((0,2)); T02 Free module T^(0,2)(M) of type-(0,2) tensors fields on the 3-dimensional differentiable manifold M sage: T02.has_coerce_map_from(A) True sage: A.has_coerce_map_from(T02) False The coercion map `T^{(0,1)}(M) \rightarrow \Omega^1(M)` in action:: sage: b = T01([-x,2,3*y], name='b'); b Tensor field b of type (0,1) on the 3-dimensional differentiable manifold M sage: b.display() b = -x dx + 2 dy + 3*y dz sage: lb = L1(b) ; lb 1-form b on the 3-dimensional differentiable manifold M sage: lb.display() b = -x dx + 2 dy + 3*y dz The coercion map `\Omega^1(M) \rightarrow T^{(0,1)}(M)` in action:: sage: tlb = T01(lb); tlb Tensor field b of type (0,1) on the 3-dimensional differentiable manifold M sage: tlb == b True The coercion map `\Omega^2(M) \rightarrow T^{(0,2)}(M)` in action:: sage: T02 = M.tensor_field_module((0,2)) ; T02 Free module T^(0,2)(M) of type-(0,2) tensors fields on the 3-dimensional differentiable manifold M sage: ta = T02(a) ; ta Tensor field a of type (0,2) on the 3-dimensional differentiable manifold M sage: ta.display() a = 3*x dx⊗dy - z dx⊗dz - 3*x dy⊗dx + 4 dy⊗dz + z dz⊗dx - 4 dz⊗dy sage: a.display() a = 3*x dx∧dy - z dx∧dz + 4 dy∧dz sage: ta.symmetries() # the antisymmetry is preserved no symmetry; antisymmetry: (0, 1) There is also coercion to subdomains, which is nothing but the restriction of the differential form to some subset of its domain:: sage: U = M.open_subset('U', coord_def={X: x^2+y^2<1}) sage: B = U.diff_form_module(2) ; B Free module Omega^2(U) of 2-forms on the Open subset U of the 3-dimensional differentiable manifold M sage: B.has_coerce_map_from(A) True sage: a_U = B(a) ; a_U 2-form a on the Open subset U of the 3-dimensional differentiable manifold M sage: a_U.display() a = 3*x dx∧dy - z dx∧dz + 4 dy∧dz """ Element = DiffFormParal def __init__(self, vector_field_module, degree): r""" Construct a free module of differential forms. TESTS:: sage: M = Manifold(3, 'M') sage: X.<x,y,z> = M.chart() sage: from sage.manifolds.differentiable.diff_form_module import DiffFormFreeModule sage: A = DiffFormFreeModule(M.vector_field_module(), 2) ; A Free module Omega^2(M) of 2-forms on the 3-dimensional differentiable manifold M sage: TestSuite(A).run() """ domain = vector_field_module._domain dest_map = vector_field_module._dest_map name = "Omega^{}(".format(degree) + domain._name latex_name = r"\Omega^{{{}}}\left({}".format(degree, domain._latex_name) if dest_map is not domain.identity_map(): dm_name = dest_map._name dm_latex_name = dest_map._latex_name if dm_name is None: dm_name = "unnamed map" if dm_latex_name is None: dm_latex_name = r"\mathrm{unnamed\; map}" name += "," + dm_name latex_name += "," + dm_latex_name name += ")" latex_name += r"\right)" ExtPowerDualFreeModule.__init__(self, vector_field_module, degree, name=name, latex_name=latex_name) self._domain = domain self._dest_map = dest_map self._ambient_domain = vector_field_module._ambient_domain #### Parent methods def _element_constructor_(self, comp=[], frame=None, name=None, latex_name=None): r""" Construct a differential form. TESTS:: sage: M = Manifold(2, 'M') sage: X.<x,y> = M.chart() # makes M parallelizable sage: A = M.diff_form_module(2) sage: a = A([[0, x], [-x, 0]], name='a'); a 2-form a on the 2-dimensional differentiable manifold M sage: a.display() a = x dx∧dy sage: A(0) is A.zero() True Check that :trac:`27658` is fixed:: sage: f = M.scalar_field(x) sage: f in A False """ try: if comp.is_trivial_zero(): return self.zero() except AttributeError: if comp == 0: return self.zero() if isinstance(comp, (DiffForm, DiffFormParal)): # coercion by domain restriction if (self._degree == comp._tensor_type[1] and self._domain.is_subset(comp._domain) and self._ambient_domain.is_subset(comp._ambient_domain)): return comp.restrict(self._domain) else: raise TypeError("cannot convert the {} ".format(comp) + "to a differential form in {}".format(self)) if isinstance(comp, TensorFieldParal): # coercion of a tensor of type (0,1) to a linear form tensor = comp # for readability if (tensor.tensor_type() == (0,1) and self._degree == 1 and tensor._fmodule is self._fmodule): resu = self.element_class(self._fmodule, 1, name=tensor._name, latex_name=tensor._latex_name) for frame, comp in tensor._components.items(): resu._components[frame] = comp.copy() return resu else: raise TypeError("cannot convert the {} ".format(tensor) + "to an element of {}".format(self)) if not isinstance(comp, (list, tuple)): raise TypeError("cannot convert the {} ".format(comp) + "to an element of {}".format(self)) # standard construction resu = self.element_class(self._fmodule, self._degree, name=name, latex_name=latex_name) if comp: resu.set_comp(frame)[:] = comp return resu # Rem: _an_element_ is declared in the superclass ExtPowerDualFreeModule def _coerce_map_from_(self, other): r""" Determine whether coercion to ``self`` exists from other parent. TESTS:: sage: M = Manifold(3, 'M') sage: X.<x,y,z> = M.chart() sage: A2 = M.diff_form_module(2) sage: U = M.open_subset('U', coord_def = {X: z<0}) sage: A2U = U.diff_form_module(2) sage: A2U._coerce_map_from_(A2) True sage: A2._coerce_map_from_(A2U) False sage: A1 = M.diff_form_module(1) sage: A2U._coerce_map_from_(A1) False sage: A1._coerce_map_from_(M.tensor_field_module((0,1))) True sage: A1._coerce_map_from_(M.tensor_field_module((1,0))) False """ if isinstance(other, (DiffFormModule, DiffFormFreeModule)): # coercion by domain restriction return (self._degree == other._degree and self._domain.is_subset(other._domain) and self._ambient_domain.is_subset(other._ambient_domain)) from sage.manifolds.differentiable.tensorfield_module import TensorFieldFreeModule if isinstance(other, TensorFieldFreeModule): # coercion of a type-(0,1) tensor to a linear form return (self._fmodule is other._fmodule and self._degree == 1 and other.tensor_type() == (0,1)) return False #### End of Parent methods def _repr_(self): r""" Return a string representation of ``self``. TESTS:: sage: M = Manifold(3, 'M') sage: X.<x,y,z> = M.chart() sage: A = M.diff_form_module(2) sage: A Free module Omega^2(M) of 2-forms on the 3-dimensional differentiable manifold M """ description = "Free module " if self._name is not None: description += self._name + " " description += "of {}-forms ".format(self._degree) if self._dest_map is self._domain.identity_map(): description += "on the {}".format(self._domain) else: description += "along the {} mapped into the {}".format( self._domain, self._ambient_domain) return description

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null

0

1

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null

0

5

0ad343fbd5642cd048dddd939e01ff7bdf5dedbc

159

py

Python

wsgi.py

shiroyuki/2019-cfp

90c20ad01c19ddf17b0bfd1f96b264c715456c01

[ "BSD-3-Clause" ]

null

wsgi.py

shiroyuki/2019-cfp

90c20ad01c19ddf17b0bfd1f96b264c715456c01

[ "BSD-3-Clause" ]

6

2019-04-27T16:48:33.000Z

2019-08-06T20:28:23.000Z

wsgi.py

shiroyuki/2019-cfp

90c20ad01c19ddf17b0bfd1f96b264c715456c01

[ "BSD-3-Clause" ]

2

2019-08-06T15:23:57.000Z

2019-08-21T23:16:01.000Z

from yakbak.core import create_app from yakbak.settings import load_settings_from_env settings = load_settings_from_env() application = create_app(settings)

22.714286

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null

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0ada11418717237a249c6ece10f69a6b0979adfd

19

py

Python

bc/__init__.py

fxxing/ljtool

9d4e2d6890e586657ea7f5e1e3129eaf2c205907

[ "MIT" ]

1

2020-04-15T19:09:45.000Z

bc/__init__.py

fxxing/ljtool

9d4e2d6890e586657ea7f5e1e3129eaf2c205907

[ "MIT" ]

null

bc/__init__.py

fxxing/ljtool

9d4e2d6890e586657ea7f5e1e3129eaf2c205907

[ "MIT" ]

null

# LuaJit byte code

9.5

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0afa81d31dc7e002a48591fb2cf387ee3abac591

87

py

Python

pylibgen/exceptions.py

solomond6/pylibgen

b515ac107ef61d79b7ce6c348b849009f43f7969

[ "MIT" ]

66

2017-03-08T00:21:42.000Z

2019-04-09T21:14:29.000Z

pylibgen/exceptions.py

papis/pylibgen

b9a7b8058acedeaac71995ea3f915ce5eb37def5

[ "MIT" ]

7

2017-05-25T02:46:17.000Z

2019-01-12T18:16:59.000Z

pylibgen/exceptions.py

papis/pylibgen

b9a7b8058acedeaac71995ea3f915ce5eb37def5

[ "MIT" ]

14

2019-05-28T17:57:39.000Z

2021-08-10T03:06:59.000Z

class LibraryException(Exception): pass class BookException(Exception): pass

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null

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5

7c22c03675e0c844a3ddfd44a772a4f4866ebd59

30

py

Python

utils/custom_errors.py

ChrissisCodeXD/Hikari-TestProject

236c8fc9081172d9edff6d629e5d11c5abe64205

[ "MIT" ]

null

utils/custom_errors.py

ChrissisCodeXD/Hikari-TestProject

236c8fc9081172d9edff6d629e5d11c5abe64205

[ "MIT" ]

null

utils/custom_errors.py

ChrissisCodeXD/Hikari-TestProject

236c8fc9081172d9edff6d629e5d11c5abe64205

[ "MIT" ]

null

class WrongDuration: pass

10

20

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3

30

7.333333

1

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0.233333

30

2

21

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0.956522

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null

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null

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5

7c2376f8050758bdb4097195234463c3cc8cb9da

188

py

Python

pkgs/conda-manager-0.3.1-py27_0/lib/python2.7/site-packages/conda_manager/api/__init__.py

wangyum/anaconda

6e5a0dbead3327661d73a61e85414cf92aa52be6

[ "Apache-2.0", "BSD-3-Clause" ]

25

2015-03-24T20:50:12.000Z

2021-12-29T02:35:57.000Z

pkgs/conda-manager-0.3.1-py27_0/lib/python2.7/site-packages/conda_manager/api/__init__.py

wangyum/anaconda

6e5a0dbead3327661d73a61e85414cf92aa52be6

[ "Apache-2.0", "BSD-3-Clause" ]

71

2015-03-25T22:35:21.000Z

2021-03-30T18:19:01.000Z

pkgs/conda-manager-0.3.1-py27_0/lib/python2.7/site-packages/conda_manager/api/__init__.py

wangyum/anaconda

6e5a0dbead3327661d73a61e85414cf92aa52be6

[ "Apache-2.0", "BSD-3-Clause" ]

12

2015-05-28T16:38:30.000Z

2021-08-11T15:03:16.000Z

# -*- coding: utf-8 -*- """ This module contains the main Anaconda API plus the external and adapted apis used.. """ # Local imports from conda_manager.api.manager_api import ManagerAPI

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1

0

5

7c23c406b118404d56a9edbc45234d4d79c8df8b

165

py

Python

asados/templatetags/getfield.py

TenStrings/organizador-de-asados

5f8ede2ca5c8f9d2faf7fec316c4014142113464

[ "MIT" ]

null

asados/templatetags/getfield.py

TenStrings/organizador-de-asados

5f8ede2ca5c8f9d2faf7fec316c4014142113464

[ "MIT" ]

null

asados/templatetags/getfield.py

TenStrings/organizador-de-asados

5f8ede2ca5c8f9d2faf7fec316c4014142113464

[ "MIT" ]

null

from django import template register = template.Library() @register.simple_tag def getfield(an_object, an_attribute): return getattr(an_object, an_attribute)

18.333333

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null

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7c33f04a92c7ec7d39745a702372a685e0762c61

97

py

Python

photonqat/Fockbase/__init__.py

ryosukehata/Photonqat

d5e320d3cc9ed94f6d63b1721f6871f13a0e6ea7

[ "Apache-2.0" ]

25

2018-09-16T22:54:48.000Z

2019-02-22T01:21:30.000Z

blueqat/photonqat/Fockbase/__init__.py

mdrft/blueqat

6c5f26b377bc3ce0d02adec8b9132d70870b3d95

[ "Apache-2.0" ]

22

2018-09-20T02:47:56.000Z

2019-02-08T05:25:30.000Z

blueqat/photonqat/Fockbase/__init__.py

mdrft/blueqat

6c5f26b377bc3ce0d02adec8b9132d70870b3d95

[ "Apache-2.0" ]

5

2018-10-23T04:56:04.000Z

2019-02-13T14:02:31.000Z

from .bosonicLadder import * from .gates import * from .states import * from .WignerFunc import *

24.25

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0.762887

12

97

6.166667

0.5

0.405405

0

0.154639

97

4

29

24.25

0.902439

0

1

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true

0

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null

1

0

1

0

null

0

1

0

1

0

5

7ca9b89a02349f54607053532e12ff16005d1451

486

py

Python

scripts/Logger.py

alexander-danilenko/ubuntu-offline-driver-install

c1954c6606fd8a137fa7f63acd57910fd682ee40

[ "MIT" ]

null

scripts/Logger.py

alexander-danilenko/ubuntu-offline-driver-install

c1954c6606fd8a137fa7f63acd57910fd682ee40

[ "MIT" ]

null

scripts/Logger.py

alexander-danilenko/ubuntu-offline-driver-install

c1954c6606fd8a137fa7f63acd57910fd682ee40

[ "MIT" ]

null

class Logger: # Logger channel. channel: str def __init__(self, channel: str): self.channel = channel def log(self, message): print(f'\033[92m[{self.channel}] {message}\033[0m') def info(self, message): print(f'\033[94m[{self.channel}] {message}\033[0m') def warning(self, message): print(f'\033[93m[{self.channel}] {message}\033[0m') def error(self, message): print(f'\033[91m[{self.channel}] {message}\033[0m')

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0.628472

0.270833

0

0.094987

0.220165

486

18

60

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0

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0

1

0.416667

false

0

0.583333

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0

null

1

0

null

0

1

0

1

0

5

7cb5f6cf3a0408d680129d61bc13788fefd5880e

47

py

Python

test/pipeviz/test_pipeviz.py

roryk/bipy

9fbe7074b7c559a7c6a4ae256bbac54379d6538e

[ "MIT" ]

1

2015-01-24T21:55:02.000Z

test/pipeviz/test_pipeviz.py

roryk/bipy

9fbe7074b7c559a7c6a4ae256bbac54379d6538e

[ "MIT" ]

null

test/pipeviz/test_pipeviz.py

roryk/bipy

9fbe7074b7c559a7c6a4ae256bbac54379d6538e

[ "MIT" ]

9

2015-05-29T02:43:43.000Z

2020-05-21T18:59:10.000Z

import yaml import unittest from bipy.pipeline

11.75

18

0.851064

7

47

5.714286

0.857143

0

0.12766

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3

19

15.666667

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null

0

0.666667

null

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null

0

1

0

null

0

1

0

1

0

5

6b114a330e734c56b81d137ba9910596dc0022f5

1,172

py

Python

dev/configuration.py

julien-lange/qcover

8b4872f7533b75ce265ddfb7eb077e681169b89d

[ "Apache-2.0" ]

8

2016-10-06T14:06:45.000Z

2021-12-23T06:58:39.000Z

dev/configuration.py

julien-lange/qcover

8b4872f7533b75ce265ddfb7eb077e681169b89d

[ "Apache-2.0" ]

null

dev/configuration.py

julien-lange/qcover

8b4872f7533b75ce265ddfb7eb077e681169b89d

[ "Apache-2.0" ]

6

2017-08-23T15:02:53.000Z

2021-12-29T07:23:19.000Z

# Copyright 2017 Michael Blondin, Alain Finkel, Christoph Haase, Serge Haddad # 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. # Configurations must be immutable class Configuration: def __init__(self): pass def __eq__(self, other): raise NotImplementedError() def __ne__(self, other): raise NotImplementedError() def __gt__(self, other): raise NotImplementedError() def __ge__(self, other): raise NotImplementedError() def __lt__(self, other): raise NotImplementedError() def __le__(self, other): raise NotImplementedError() def __hash__(self): raise NotImplementedError()

29.3

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0

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0.21587

1,172

39

78

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null

0

1

0

1

0

1

0

5

861c2223c5c281c74f7db9963bd5eb202351e0a6

11,423

py

Python

aiida/backends/tests/cmdline/params/types/test_plugin.py

borellim/aiida_core

eebef392c81e8b130834a92e1d7abf5e2e30b3ce

[ "BSD-2-Clause" ]

1

2019-03-15T10:37:53.000Z

aiida/backends/tests/cmdline/params/types/test_plugin.py

odarbelaeze/aiida_core

934b4ccdc73a993f2a6656caf516500470e3da08

[ "BSD-2-Clause" ]

null

aiida/backends/tests/cmdline/params/types/test_plugin.py

odarbelaeze/aiida_core

934b4ccdc73a993f2a6656caf516500470e3da08

[ "BSD-2-Clause" ]

null

# -*- coding: utf-8 -*- ########################################################################### # Copyright (c), The AiiDA team. All rights reserved. # # This file is part of the AiiDA code. # # # # The code is hosted on GitHub at https://github.com/aiidateam/aiida_core # # For further information on the license, see the LICENSE.txt file # # For further information please visit http://www.aiida.net # ########################################################################### """Tests for the `PluginParamType`.""" from __future__ import division from __future__ import print_function from __future__ import absolute_import import click from aiida.backends.testbase import AiidaTestCase from aiida.cmdline.params.types.plugin import PluginParamType from aiida.plugins.entry_point import get_entry_point_from_string class TestPluginParamType(AiidaTestCase): """Tests for the `PluginParamType`.""" def test_group_definition(self): """ Test the various accepted syntaxes of defining supported entry point groups. Both single values as well as tuples should be allowed. The `aiida.` prefix should also be optional. """ param = PluginParamType(group='calculations') self.assertIn('aiida.calculations', param.groups) self.assertTrue(len(param.groups), 1) param = PluginParamType(group='aiida.calculations') self.assertIn('aiida.calculations', param.groups) self.assertTrue(len(param.groups), 1) param = PluginParamType(group=('calculations',)) self.assertIn('aiida.calculations', param.groups) self.assertTrue(len(param.groups), 1) param = PluginParamType(group=('aiida.calculations',)) self.assertIn('aiida.calculations', param.groups) self.assertTrue(len(param.groups), 1) param = PluginParamType(group=('aiida.calculations', 'aiida.data')) self.assertIn('aiida.calculations', param.groups) self.assertIn('aiida.data', param.groups) self.assertTrue(len(param.groups), 2) param = PluginParamType(group=('aiida.calculations', 'data')) self.assertIn('aiida.calculations', param.groups) self.assertIn('aiida.data', param.groups) self.assertTrue(len(param.groups), 2) def test_get_entry_point_from_string(self): """ Test the functionality of the get_entry_point_from_string which will take an entry point string and try to map it onto a valid entry point that is part of the groups defined for the parameter. """ param = PluginParamType(group='transports') entry_point = get_entry_point_from_string('aiida.transports:ssh') # Invalid entry point strings with self.assertRaises(ValueError): param.get_entry_point_from_string('aiida.transport:ssh') with self.assertRaises(ValueError): param.get_entry_point_from_string('aiid.transports:ssh') with self.assertRaises(ValueError): param.get_entry_point_from_string('aiida..transports:ssh') # Unsupported entry points for all formats with self.assertRaises(ValueError): param.get_entry_point_from_string('aiida.data:structure') with self.assertRaises(ValueError): param.get_entry_point_from_string('data:structure') with self.assertRaises(ValueError): param.get_entry_point_from_string('structure') # Non-existent entry points for all formats with self.assertRaises(ValueError): param.get_entry_point_from_string('aiida.transports:not_existent') with self.assertRaises(ValueError): param.get_entry_point_from_string('transports:not_existent') with self.assertRaises(ValueError): param.get_entry_point_from_string('not_existent') # Valid entry point strings self.assertEqual(param.get_entry_point_from_string('aiida.transports:ssh').name, entry_point.name) self.assertEqual(param.get_entry_point_from_string('transports:ssh').name, entry_point.name) self.assertEqual(param.get_entry_point_from_string('ssh').name, entry_point.name) def test_get_entry_point_from_ambiguous(self): """ Test the functionality of the get_entry_point_from_string which will take an entry point string and try to map it onto a valid entry point that is part of the groups defined for the parameter. """ param = PluginParamType(group=('aiida.calculations', 'aiida.parsers')) entry_point = get_entry_point_from_string('aiida.calculations:arithmetic.add') # Both groups contain entry point `arithmetic.add` so passing only name is ambiguous and should raise with self.assertRaises(ValueError): param.get_entry_point_from_string('arithmetic.add') # Passing PARTIAL or FULL should allow entry point to be returned self.assertEqual(param.get_entry_point_from_string('aiida.calculations:arithmetic.add').name, entry_point.name) self.assertEqual(param.get_entry_point_from_string('calculations:arithmetic.add').name, entry_point.name) def test_convert(self): """ Test that the convert method returns the correct entry point """ param = PluginParamType(group=('transports', 'data')) entry_point = param.convert('aiida.transports:ssh', None, None) self.assertEqual(entry_point.name, 'ssh') # self.assertTrue(isinstance(entry_point, EntryPoint)) entry_point = param.convert('transports:ssh', None, None) self.assertEqual(entry_point.name, 'ssh') # self.assertTrue(isinstance(entry_point, EntryPoint)) entry_point = param.convert('ssh', None, None) self.assertEqual(entry_point.name, 'ssh') # self.assertTrue(isinstance(entry_point, EntryPoint)) entry_point = param.convert('aiida.data:structure', None, None) self.assertEqual(entry_point.name, 'structure') # self.assertTrue(isinstance(entry_point, EntryPoint)) entry_point = param.convert('data:structure', None, None) self.assertEqual(entry_point.name, 'structure') # self.assertTrue(isinstance(entry_point, EntryPoint)) entry_point = param.convert('structure', None, None) self.assertEqual(entry_point.name, 'structure') # self.assertTrue(isinstance(entry_point, EntryPoint)) with self.assertRaises(click.BadParameter): param.convert('not_existent', None, None) def test_convert_load(self): """ Test that the convert method returns the loaded entry point if load=True at construction time of parameter """ param = PluginParamType(group=('transports', 'data'), load=True) entry_point_ssh = get_entry_point_from_string('aiida.transports:ssh') entry_point_structure = get_entry_point_from_string('aiida.data:structure') entry_point = param.convert('aiida.transports:ssh', None, None) self.assertTrue(entry_point, entry_point_ssh) entry_point = param.convert('transports:ssh', None, None) self.assertTrue(entry_point, entry_point_ssh) entry_point = param.convert('ssh', None, None) self.assertTrue(entry_point, entry_point_ssh) entry_point = param.convert('aiida.data:structure', None, None) self.assertTrue(entry_point, entry_point_structure) entry_point = param.convert('data:structure', None, None) self.assertTrue(entry_point, entry_point_structure) entry_point = param.convert('structure', None, None) self.assertTrue(entry_point, entry_point_structure) with self.assertRaises(click.BadParameter): param.convert('not_existent', None, None) def test_complete_single_group(self): """ Test the complete method which is used for auto completion when there is only a single valid group, which means there should never be ambiguity and specifying a full entry point string is not necessary, however, when the user decides to user either a FULL or PARTIAL string anyway, the completion should match that syntax """ param = PluginParamType(group=('transports')) entry_point_minimal = 'ssh' entry_point_partial = 'transports:ssh' entry_point_full = 'aiida.transports:ssh' options = [item[0] for item in param.complete(None, 'ss')] self.assertIn(entry_point_minimal, options) options = [item[0] for item in param.complete(None, 'ssh')] self.assertIn(entry_point_minimal, options) options = [item[0] for item in param.complete(None, 'transports:ss')] self.assertIn(entry_point_partial, options) options = [item[0] for item in param.complete(None, 'transports:ssh')] self.assertIn(entry_point_partial, options) options = [item[0] for item in param.complete(None, 'aiida.transports:ss')] self.assertIn(entry_point_full, options) options = [item[0] for item in param.complete(None, 'aiida.transports:ssh')] self.assertIn(entry_point_full, options) def test_complete_amibguity(self): """ Test the complete method which is used for auto completion when the supported groups share an entry point with the same name, which can lead to ambiguity. In this case the autocomplete should always return the possibilites in the FULL entry point string format. When the user tries to autocomplete """ param = PluginParamType(group=('aiida.calculations', 'aiida.parsers')) entry_point_full_calculations = 'aiida.calculations:arithmetic.add' entry_point_full_parsers = 'aiida.parsers:arithmetic.add' options = [item[0] for item in param.complete(None, 'aiida.calculations:arith')] self.assertIn(entry_point_full_calculations, options) options = [item[0] for item in param.complete(None, 'aiida.calculations:arithmetic.add')] self.assertIn(entry_point_full_calculations, options) options = [item[0] for item in param.complete(None, 'aiida.parsers:arith')] self.assertIn(entry_point_full_parsers, options) options = [item[0] for item in param.complete(None, 'aiida.parsers:arithmetic.add')] self.assertIn(entry_point_full_parsers, options) # PARTIAL or MINIMAL string formats will not be autocompleted options = [item[0] for item in param.complete(None, 'parsers:arith')] self.assertNotIn(entry_point_full_calculations, options) self.assertNotIn(entry_point_full_parsers, options) options = [item[0] for item in param.complete(None, 'parsers:arithmetic.add')] self.assertNotIn(entry_point_full_calculations, options) self.assertNotIn(entry_point_full_parsers, options) options = [item[0] for item in param.complete(None, 'arith')] self.assertNotIn(entry_point_full_calculations, options) self.assertNotIn(entry_point_full_parsers, options) options = [item[0] for item in param.complete(None, 'arithmetic.add')] self.assertNotIn(entry_point_full_calculations, options) self.assertNotIn(entry_point_full_parsers, options)

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119

0.682833

1,371

11,423

5.512764

0.140044

0.141572

0.041281

0.053983

0.76634

0.744377

0.716327

0.700318

0.672665

0.63059

0

0.002323

0.208439

11,423

243

120

47.00823

0.833555

0.223847

0

0.533333

0

0.149474

0.039466

0

0.451852

1

0.051852

false

0

0.051852

0

0.111111

0.007407

0

null

0

1

0

1

0

null

0

1

0

5

862c08d1d4ac40f9d57c1d9c3725b9935fcf5b8f

148

py

Python

src/gt4sd/algorithms/generation/polymer_blocks/__init__.py

hhhsu0825/gt4sd-core

4a1fe9da58d2f33bba2fba64604427e037ad7a46

[ "MIT" ]

1

2022-02-22T02:06:10.000Z

src/gt4sd/algorithms/generation/polymer_blocks/__init__.py

hhhsu0825/gt4sd-core

4a1fe9da58d2f33bba2fba64604427e037ad7a46

[ "MIT" ]

12

2022-02-21T12:59:24.000Z

2022-02-22T12:25:49.000Z

src/gt4sd/algorithms/generation/polymer_blocks/__init__.py

hhhsu0825/gt4sd-core

4a1fe9da58d2f33bba2fba64604427e037ad7a46

[ "MIT" ]

null

"""PolymerBlocks initialization.""" from .core import PolymerBlocks, PolymerBlocksGenerator __all__ = ["PolymerBlocks", "PolymerBlocksGenerator"]

24.666667

55

0.797297

10

148

11.4

0.7

0.614035

0

0.087838

148

5

56

29.6

0.844444

0.195946

0

0.309735

0.19469

0

1

0

false

0

0.5

0

0.5

0

1

0

1

null

1

0

1

0

null

0

1

0

5

864676ff1e262ec69ad93579bdc6b2491cc345ea

1,040

py

Python

pwndbg/color/backtrace.py

dev2ero/pwndbg

dbaa3806fd462d4840cded98a155275ea58df7f8

[ "MIT" ]

4,461

2016-05-30T17:14:06.000Z

2022-03-31T11:19:49.000Z

pwndbg/color/backtrace.py

dev2ero/pwndbg

dbaa3806fd462d4840cded98a155275ea58df7f8

[ "MIT" ]

789

2016-05-27T21:17:52.000Z

2022-03-31T12:37:06.000Z

pwndbg/color/backtrace.py

dev2ero/pwndbg

dbaa3806fd462d4840cded98a155275ea58df7f8

[ "MIT" ]

844

2016-06-01T00:37:04.000Z

2022-03-31T10:39:30.000Z

import pwndbg.color.theme as theme import pwndbg.config as config from pwndbg.color import generateColorFunction config_prefix = theme.Parameter('backtrace-prefix', '►', 'prefix for current backtrace label') config_prefix_color = theme.ColoredParameter('backtrace-prefix-color', 'none', 'color for prefix of current backtrace label') config_address_color = theme.ColoredParameter('backtrace-address-color', 'none', 'color for backtrace (address)') config_symbol_color = theme.ColoredParameter('backtrace-symbol-color', 'none', 'color for backtrace (symbol)') config_label_color = theme.ColoredParameter('backtrace-frame-label-color', 'none', 'color for backtrace (frame label)') def prefix(x): return generateColorFunction(config.backtrace_prefix_color)(x) def address(x): return generateColorFunction(config.backtrace_address_color)(x) def symbol(x): return generateColorFunction(config.backtrace_symbol_color)(x) def frame_label(x): return generateColorFunction(config.backtrace_frame_label_color)(x)

47.272727

127

0.785577

127

1,040

6.291339

0.188976

0.062578

0.130163

0.175219

0.312891

0

0.105769

1,040

21

128

49.52381

0.858065

0

1

0

0.282692

0.090385

0

1

0.25

false

0

0.1875

0.25

0.6875

0

null

0

1

0

1

0

null

0

1

0

1

0

5

864abd68598639b08451346f7023f982c1bf4be7

1,511

py

Python

project/locations/admin.py

mrclro/kbxrec

49728303387d0ce25588461c3148d9c36af56101

[ "MIT" ]

null

project/locations/admin.py

mrclro/kbxrec

49728303387d0ce25588461c3148d9c36af56101

[ "MIT" ]

null

project/locations/admin.py

mrclro/kbxrec

49728303387d0ce25588461c3148d9c36af56101

[ "MIT" ]

null

from django.contrib import admin from .models import * class CountryAdmin(admin.ModelAdmin): prepopulated_fields = {"iso": ("name",)} list_display = ('name', 'nationality', 'iso',) ordering = ('name',) admin.site.register(Country, CountryAdmin) class RegionAdmin(admin.ModelAdmin): prepopulated_fields = {"iso": ("name",)} list_display = ('name', 'iso', 'country',) ordering = ('iso',) admin.site.register(Region, RegionAdmin) class CityAdmin(admin.ModelAdmin): prepopulated_fields = {"slug": ("name",)} list_display = ('name', 'region', 'get_country',) def get_country(self, obj): return obj.region.country get_country.short_description = 'Country' search_fields = ['name', 'slug',] ordering = ('slug',) admin.site.register(City, CityAdmin) class VenueAdmin(admin.ModelAdmin): prepopulated_fields = {"slug": ("name",)} list_display = ('name', 'city', 'get_country',) def get_country(self, obj): return obj.city.region.country get_country.short_description = 'Country' search_fields = ['name', 'slug',] ordering = ('slug',) admin.site.register(Venue, VenueAdmin) class TeamAdmin(admin.ModelAdmin): prepopulated_fields = {"slug": ("name",)} list_display = ('name', 'city', 'get_country',) def get_country(self, obj): return obj.city.region.country get_country.short_description = 'Country' search_fields = ['name', 'slug',] ordering = ('slug',) admin.site.register(Team, TeamAdmin)

30.22

53

0.665122

167

1,511

5.868263

0.221557

0.091837

0.137755

0.168367

0.710204

0.50102

0

0.168101

1,511

49

54

30.836735

0.779634

0

0.538462

0

0.12773

0

1

0.076923

false

0

0.051282

0.076923

0.794872

0

null

0

1

0

1

0

null

0

5

86661a45f239d37cb8aa9b20df3215409d65c0d4

167

py

Python

hashphrase/urls.py

Hobsons/django-hashphrase

715db8d955b609f30f5e7aeba0563fd13bebb580

[ "BSD-2-Clause" ]

null

hashphrase/urls.py

Hobsons/django-hashphrase

715db8d955b609f30f5e7aeba0563fd13bebb580

[ "BSD-2-Clause" ]

null

hashphrase/urls.py

Hobsons/django-hashphrase

715db8d955b609f30f5e7aeba0563fd13bebb580

[ "BSD-2-Clause" ]

2

2016-12-08T14:23:55.000Z

2021-04-27T19:37:26.000Z

from django.conf.urls import * urlpatterns = patterns('', (r'^test/', 'hashphrase.views.hash_link_test'), (r'^(?P<key>.*)/$', 'hashphrase.views.hash_link'), )

27.833333

54

0.634731

21

167

4.904762

0.714286

0.291262

0.368932

0.446602

0

0.11976

167

6

55

27.833333

0.70068

0

0.458333

0.339286

0

1

0

false

0

0.2

0

0.2

0

1

0

null

1

0

1

0

null

0

5

867250c4ce786eabbcb331f49d97d645de3a51f9

37

py

Python

spelregels.py

robijn112/opseilen

f17a95cd5166a0ae4ca0929081f4f0311e6b9f82

[ "MIT" ]

2

2017-01-17T12:53:41.000Z

2017-02-02T08:59:10.000Z

spelregels.py

robijn112/opseilen

f17a95cd5166a0ae4ca0929081f4f0311e6b9f82

[ "MIT" ]

null

spelregels.py

robijn112/opseilen

f17a95cd5166a0ae4ca0929081f4f0311e6b9f82

[ "MIT" ]

null

input(str("Regels tijdens het spel"))

37

0.756757

6

37

4.666667

1

0

0.081081

37

1

37

0.823529

0

0.605263

0

1

0

true

0

1

0

null

0

1

0

1

0

null

0

1

0

5

86d600b6b602915d311030320a06bd1893273599

87

py

Python

src/prefect/environments/execution/fargate/__init__.py

concreted/prefect

dd732f5990ee2b0f3d816adb285168fd63b239e4

[ "Apache-2.0" ]

8,633

2019-03-23T17:51:03.000Z

2022-03-31T22:17:42.000Z

src/prefect/environments/execution/fargate/__init__.py

concreted/prefect

dd732f5990ee2b0f3d816adb285168fd63b239e4

[ "Apache-2.0" ]

3,903

2019-03-23T19:11:21.000Z

2022-03-31T23:21:23.000Z

src/prefect/environments/execution/fargate/__init__.py

ngriffiths13/prefect

7f5613abcb182494b7dc12159277c3bc5f3c9898

[ "Apache-2.0" ]

937

2019-03-23T18:49:44.000Z

2022-03-31T21:45:13.000Z

from prefect.environments.execution.fargate.fargate_task import FargateTaskEnvironment

43.5

86

0.908046

9

87

8.666667

0.888889

0

0.045977

87

1

87

0.939759

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

86f00b1ee99a7f3cf182b885f1212dbde7f87bb0

179

py

Python

checkov/common/typing.py

niradler/checkov

2628c6f28a5604efe3877d6eacc3044d2b66b7b1

[ "Apache-2.0" ]

4,013

2019-12-09T13:16:54.000Z

2022-03-31T14:31:01.000Z

checkov/common/typing.py

niradler/checkov

2628c6f28a5604efe3877d6eacc3044d2b66b7b1

[ "Apache-2.0" ]

1,258

2019-12-17T09:55:51.000Z

2022-03-31T19:17:17.000Z

checkov/common/typing.py

niradler/checkov

2628c6f28a5604efe3877d6eacc3044d2b66b7b1

[ "Apache-2.0" ]

638

2019-12-19T08:57:38.000Z

2022-03-30T21:38:37.000Z

from typing import Optional from typing_extensions import TypedDict class _SkippedCheck(TypedDict, total=False): bc_id: Optional[str] id: str suppress_comment: str

17.9

44

0.765363

23

179

5.782609

0.652174

0.150376

0

0.178771

179

9

45

19.888889

0.904762

0

1

0

true

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

86fd0eb93872725491b3a5f1981378bdc597ec52

22,799

py

Python

cogs/logging.py

nickalaskreynolds/yin-bot

3f01f239532c1d30ee4f2f6825388cfce3d4a265

[ "MIT" ]

17

2018-05-25T04:37:01.000Z

2021-09-18T03:38:05.000Z

cogs/logging.py

nickalaskreynolds/yin-bot

3f01f239532c1d30ee4f2f6825388cfce3d4a265

[ "MIT" ]

42

2018-07-27T21:53:07.000Z

2019-12-10T22:17:25.000Z

cogs/logging.py

nickalaskreynolds/yin-bot

3f01f239532c1d30ee4f2f6825388cfce3d4a265

[ "MIT" ]

20

2018-09-15T22:33:12.000Z

2021-02-19T05:43:58.000Z

"""This cog will handle logging all server actions to a specific channel.""" import discord from discord.ext import commands from .utils import checks, embeds class Logging(commands.Cog): """General logging cog for guild.""" def __init__(self, bot): """Init method.""" super().__init__() self.bot = bot self.logger = bot.logger @commands.group(hidden=True, aliases=['ldbc', 'get_these_errors_outta_here']) # noqa @commands.is_owner() async def log_db_cleaning(self, ctx): """Clean a deleted channel from the voice log and server log databases.""" # noqa embed_title = f'Database Cleaning Tool' if ctx.subcommand_passed is None: local_embed = discord.Embed( title=embed_title, description="""Check the console for channel errors and pass them as so:\n ldbc *channel snowflake id*""", color=0xCCCCCC ) await ctx.send(embed=local_embed) return remove_id = ctx.subcommand_passed was_log_removed = False was_voice_removed = False for guild in self.bot.guilds: log_channel = await self.bot.pg_utils.get_logger_channels(guild.id) voice_channel = await self.bot.pg_utils.get_voice_channels(guild.id) # noqa for remove_id in log_channel: await self.bot.pg_utils.rem_logger_channel( guild.id, remove_id, self.bot.logger ) was_log_removed = True for remove_id in voice_channel: await self.bot.pg_utils.rem_voice_channel( guild.id, remove_id, self.bot.logger ) was_voice_removed = True if was_log_removed or was_voice_removed: local_embed = discord.Embed( title=embed_title, description=f'Channel was removed from database', color=0x419400 ) await ctx.send(embed=local_embed) return local_embed = discord.Embed( title=embed_title, description="""Channel not found in database, or you did not give a valid channel id""", color=0x651111 ) await ctx.send(embed=local_embed) @commands.group() @commands.guild_only() @checks.is_admin() async def logging(self, ctx): """Enable and disable logging to channel.""" if ctx.invoked_subcommand is None: desc = '' modlogs = await self.bot.pg_utils.get_logger_channels( ctx.guild.id) for channel in ctx.guild.channels: if channel.id in modlogs: desc += f'{channel.name} \n' local_embed = discord.Embed( title=f'Current log channel list is: ', description=desc, color=0x419400 ) await ctx.send(embed=local_embed) @logging.command() async def enable(self, ctx): """Add channel to the log channel list.""" added_channels = [] desc = '' try: success = await \ self.bot.pg_utils.add_logger_channel( ctx.guild.id, ctx.message.channel.id, self.bot.logger ) if success: added_channels.append(ctx.message.channel.name) if added_channels: for channel in added_channels: desc += f'{channel} \n' local_embed = discord.Embed( title=f'Channels added to log channel list:', description=desc, color=0x419400 ) self.bot.server_settings[ctx.guild.id]['logging_enabled']\ = True else: local_embed = discord.Embed( title=f'Internal error, please contact @dashwav#7785', description=' ', color=0x651111 ) await ctx.send(embed=local_embed) except Exception as e: self.bot.logger.info(f'Error adding channels {e}') local_embed = discord.Embed( title=f'Internal issue, please contact @dashwav#7785', description=' ', color=0x651111 ) await ctx.send(embed=local_embed) @logging.command(aliases=['rem']) async def disable(self, ctx): """Remove channel from the log channel list.""" removed_channels = [] absent_channels = [] desc = '' try: try: success = False success = await \ self.bot.pg_utils.rem_logger_channel( ctx.guild.id, ctx.message.channel.id, self.bot.logger ) except ValueError: absent_channels.append(ctx.message.channel.name) if success: removed_channels.append(ctx.message.channel.name) if removed_channels: for channel in removed_channels: desc += f'{channel} \n' local_embed = discord.Embed( title=f'Channels removed from log channel list:', description=desc, color=0x419400 ) logs = await self.bot.pg_utils.get_logger_channels( ctx.guild.id) if not logs: self.bot.server_settings[ctx.guild.id]['logging_enabled']\ = False if absent_channels: desc = '' for channel in absent_channels: desc += f'{channel}\n' local_embed.add_field( name='Channels not in log channel list :', value=desc ) elif absent_channels: desc = '' for channel in absent_channels: desc += f'{channel}\n' local_embed = discord.Embed( title=f'Channels not in log channel list: ', description=desc, color=0x651111 ) else: local_embed = discord.Embed( title=f'Internal error, please contact @dashwav#7785', description=' ', color=0x651111 ) await ctx.send(embed=local_embed) except Exception as e: self.bot.logger.warning(f'Issue: {e}') local_embed = discord.Embed( title=f'Internal issue, please contact @dashwav#7785', description=' ', color=0x651111 ) await ctx.send(embed=local_embed) @commands.group(aliases=['vclogs', 'prescence_logging']) @commands.guild_only() @checks.is_admin() async def voice_logging(self, ctx): """Enable and disable logging to channel.""" if ctx.invoked_subcommand is None: desc = '' voicelogs = await self.bot.pg_utils.get_voice_channels( ctx.guild.id) for channel in ctx.guild.channels: if channel.id in voicelogs: desc += f'{channel.name} \n' local_embed = discord.Embed( title=f'Current voice log channel list is: ', description=desc, color=0x419400 ) await ctx.send(embed=local_embed) @voice_logging.command(name='enable') async def _enable(self, ctx): """Add channel to the voice log channel list.""" added_channels = [] desc = '' try: success = await \ self.bot.pg_utils.add_voice_channel( ctx.guild.id, ctx.message.channel.id, self.bot.logger ) if success: added_channels.append(ctx.message.channel.name) if added_channels: for channel in added_channels: desc += f'{channel} \n' local_embed = discord.Embed( title=f'Channels added to voice log channel list:', description=desc, color=0x419400 ) else: local_embed = discord.Embed( title=f'Internal error, please contact @dashwav#7785', description=' ', color=0x651111 ) await ctx.send(embed=local_embed) except Exception as e: self.bot.logger.info(f'Error adding channels {e}') local_embed = discord.Embed( title=f'Internal issue, please contact @dashwav#7785', description=' ', color=0x651111 ) await ctx.send(embed=local_embed) @voice_logging.command(name='disable', aliases=['rem']) async def _disable(self, ctx): """Remove channel from the voice log channel list.""" removed_channels = [] absent_channels = [] desc = '' try: try: success = False success = await \ self.bot.pg_utils.rem_voice_channel( ctx.guild.id, ctx.message.channel.id, self.bot.logger ) except ValueError: absent_channels.append(ctx.message.channel.name) if success: removed_channels.append(ctx.message.channel.name) if removed_channels: for channel in removed_channels: desc += f'{channel} \n' local_embed = discord.Embed( title=f'Channels removed from voice log channel list:', description=desc, color=0x419400 ) if absent_channels: desc = '' for channel in absent_channels: desc += f'{channel}\n' local_embed.add_field( name='Channels not in voice log channel list :', value=desc ) elif absent_channels: desc = '' for channel in absent_channels: desc += f'{channel}\n' local_embed = discord.Embed( title=f'Channels not in voice log channel list: ', description=desc, color=0x651111 ) else: local_embed = discord.Embed( title=f'Internal error, please contact @dashwav#7785', description=' ', color=0x651111 ) await ctx.send(embed=local_embed) except Exception as e: self.bot.logger.warning(f'Issue: {e}') local_embed = discord.Embed( title=f'Internal issue, please contact @dashwav#7785', description=' ', color=0x651111 ) await ctx.send(embed=local_embed) @commands.Cog.listener() async def on_member_ban(self, guild, user): """Send a message on user ban.""" if not self.bot.server_settings[guild.id]['logging_enabled']: return channels = await self.bot.pg_utils.get_logger_channels( guild.id) local_embed = embeds.LogBanEmbed(user) for channel in channels: try: ch = self.bot.get_channel(channel) await ch.send(embed=local_embed) except Exception as e: self.bot.logger.info( f'Error logging user ban in channel {channel}' f', error: {e}' ) @commands.Cog.listener() async def on_member_join(self, member): """Send a message on a user join.""" if not self.bot.server_settings[member.guild.id]['logging_enabled']: return channels = await self.bot.pg_utils.get_logger_channels( member.guild.id) local_embed = embeds.JoinEmbed(member) for channel in channels: try: ch = self.bot.get_channel(channel) await ch.send(embed=local_embed) except Exception as e: self.bot.logger.info( f'Error logging user join in channel {channel}' f', error: {e}' ) @commands.Cog.listener() async def on_member_remove(self, member): """Send message on a user leaving.""" if not self.bot.server_settings[member.guild.id]['logging_enabled']: return channels = await self.bot.pg_utils.get_logger_channels( member.guild.id) local_embed = embeds.LeaveEmbed(member) for channel in channels: try: ch = self.bot.get_channel(channel) await ch.send(embed=local_embed) except Exception as e: self.bot.logger.info( f'Error logging user leave in channel {channel}' f', error: {e}' ) @commands.Cog.listener() async def on_message_edit(self, before, after): """Send message on a user editing messages.""" if not self.bot.server_settings[before.guild.id]['logging_enabled']: return try: if not before.content.strip() != after.content.strip(): return channels = await self.bot.pg_utils.get_logger_channels( before.guild.id) try: local_embed = embeds.MessageEditEmbed( before.author, before.channel.name, before.content, after.content ) try: for channel in channels: ch = self.bot.get_channel(channel) await ch.send(embed=local_embed) except Exception as e: self.bot.logger.warning( f'Issue logging message edit in channel {channel}' f', error: {e}' ) except Exception as e: self.bot.logger.warning( f'Issue making embed for channel {channel}' f', error: {e}' ) except AttributeError: pass @commands.Cog.listener() async def on_message_delete(self, message): """Send message on a user editing messages.""" if not self.bot.server_settings[message.guild.id]['logging_enabled']: return if message.author.bot: return channels = await self.bot.pg_utils.get_logger_channels( message.guild.id) try: local_embed = embeds.MessageDeleteEmbed( message.author, message.channel.name, message.content, ) try: for channel in channels: ch = self.bot.get_channel(channel) await ch.send(embed=local_embed) except Exception as e: self.bot.logger.warning( f'Issue logging message delete in channel {channel}' f', error: {e}' ) except Exception as e: self.bot.logger.warning( f'Issue making embed for channel {channel}' f', error: {e}' ) @commands.Cog.listener() async def on_member_update(self, before, after): """Send message on a user role or name update.""" if not self.bot.server_settings[before.guild.id]['logging_enabled']: return if before.roles == after.roles: return channels = await self.bot.pg_utils.get_logger_channels( before.guild.id) role_diff = set(after.roles) - (set(before.roles)) for role in role_diff: local_embed = embeds.RoleAddEmbed( after, role.name ) for channel in channels: try: ch = self.bot.get_channel(channel) await ch.send(embed=local_embed) except Exception as e: self.bot.logger.info( f'Error logging role change' f' in channel {channel}, error: {e}' ) role_diff = set(before.roles) - (set(after.roles)) for role in role_diff: local_embed = embeds.RoleRemoveEmbed( after, role.name ) for channel in channels: try: ch = self.bot.get_channel(channel) await ch.send(embed=local_embed) except Exception as e: self.bot.logger.info( f'Error logging role remove in' f' channel {channel}, error: {e}' ) @commands.Cog.listener() async def on_user_update(self, before, after): """Send message on a username update.""" if before.name == after.name: return user_mutuals = [] for guild in self.bot.guilds: if before in guild.members: user_mutuals.append(guild.id) extended_channels = [] for guild_id in user_mutuals: extended_channels.extend( await self.bot.pg_utils.get_logger_channels( guild_id)) local_embed = embeds.UsernameUpdateEmbed( after, before.name, after.name) for channel in extended_channels: try: ch = self.bot.get_channel(channel) await ch.send(embed=local_embed) except Exception as e: self.bot.logger.info( f'Error logging name change' f' in channel {channel}, error {e}' ) @commands.Cog.listener() async def on_voice_state_update(self, member, before, after): """Send a message on user vc update.""" vc_logging = await self.bot.pg_utils.get_voice_logging( member.guild.id) if not vc_logging: return vc_channels = await self.bot.pg_utils.get_voice_channels( member.guild.id ) if before.channel is None and after.channel: local_embed = embeds.VoiceChannelStateEmbed( member, after.channel, 'joined' ) for channel in vc_channels: try: channel = self.bot.get_channel(channel) await channel.send(embed=local_embed) except Exception as e: self.bot.logger.info( f'Error logging voice join in' f' channel {channel}, error: {e}' ) elif after.channel is None and before.channel: local_embed = embeds.VoiceChannelStateEmbed( member, before.channel, 'left' ) for channel in vc_channels: try: channel = self.bot.get_channel(channel) await channel.send(embed=local_embed) except Exception as e: self.bot.logger.info( f'Error logging voice leave in' f' channel {channel}, error: {e}' ) elif before.channel != after.channel: local_embed = embeds.VoiceChannelMoveEmbed( member, before.channel, after.channel ) for channel in vc_channels: try: channel = self.bot.get_channel(channel) await channel.send(embed=local_embed) except Exception as e: self.bot.logger.info( f'Error logging voice move in' f' channel {channel}, error: {e}' ) @commands.Cog.listener() async def on_guild_channel_delete(self, channel): """Attempt to remove deleted channel from the logging databases.""" logger = await self.bot.pg_utils.get_logger_channels(channel.guild.id) vlogger = await self.bot.pg_utils.get_voice_channels(channel.guild.id) self.bot.logger.info(channel.id) self.bot.logger.info(logger) self.bot.logger.info(vlogger) channel_type = -1 if channel.id in logger and channel.id in vlogger: channel_type = 0 elif channel.id in logger: channel_type = 1 elif channel.id in vlogger: channel_type = 2 # noqa else: return server_del = channel.guild.id if (channel_type % 2) <= 1: try: success = False success = await \ self.bot.pg_utils.rem_logger_channel( server_del, channel, self.bot.logger ) if success: self.bot.logger.info( f'Channel deleted from server {server_del}' f', removed from log db' ) except Exception as e: self.bot.logger.info( f"""Issue removing channel {channel} from log database after deletion error: {e}""" ) if (channel_type % 2) == 0: try: success = False success = await \ self.bot.pg_utils.rem_voice_channel( server_del, channel, self.bot.logger ) if success: self.bot.logger.info( f'Channel deleted from server {server_del}' f', removed from voice log db' ) except Exception as e: self.bot.logger.info( f"""Issue removing channel {channel} from voice database after deletion error: {e}""" ) def setup(bot): """General cog loading.""" bot.add_cog(Logging(bot))

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8100f2748d193d1ddd9e53b415e965a0e0ff8767

55

py

Python

swagger-4-es development/images/swagger/source/create_operations/__init__.py

swarmee/swagger-4-es

8ee367267c9a4afd9abba5964570d32c44c7ce34

[ "MIT" ]

3

2021-12-28T08:43:00.000Z

2022-02-09T14:51:07.000Z

swagger-4-es development/images/swagger/source/create_operations/__init__.py

swarmee/swagger-4-es

8ee367267c9a4afd9abba5964570d32c44c7ce34

[ "MIT" ]

null

swagger-4-es development/images/swagger/source/create_operations/__init__.py

swarmee/swagger-4-es

8ee367267c9a4afd9abba5964570d32c44c7ce34

[ "MIT" ]

null

from .create_operations import api as create_operations

55

0.890909

8

55

5.875

0.75

0.680851

0

0.090909

55

1

55

0.94

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5

810ea601296ec25031ea552745f7de47adf57472

94

py

Python

plugins/tenet/util/qt/__init__.py

onesorzer0es/tenet

62c0bec073fcbb31c5be52c9ea236b6ea2bcc418

[ "MIT" ]

877

2021-04-20T14:49:39.000Z

2022-03-26T15:38:14.000Z

plugins/tenet/util/qt/__init__.py

onesorzer0es/tenet

62c0bec073fcbb31c5be52c9ea236b6ea2bcc418

[ "MIT" ]

12

2021-04-21T07:32:46.000Z

2022-02-21T12:50:14.000Z

plugins/tenet/util/qt/__init__.py

onesorzer0es/tenet

62c0bec073fcbb31c5be52c9ea236b6ea2bcc418

[ "MIT" ]

76

2021-04-20T16:35:09.000Z

2022-03-25T03:57:10.000Z

from .shim import * if QT_AVAILABLE: from .util import * from .waitbox import WaitBox

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814219d8274e0512389a3d865347b1ab0c174468

655

py

Python

app/api/serializers.py

Arkaikus/StarWarsAPI

837904fb2dde62297f09c9dc16bb261ba3ae4b12

[ "MIT" ]

null

app/api/serializers.py

Arkaikus/StarWarsAPI

837904fb2dde62297f09c9dc16bb261ba3ae4b12

[ "MIT" ]

null

app/api/serializers.py

Arkaikus/StarWarsAPI

837904fb2dde62297f09c9dc16bb261ba3ae4b12

[ "MIT" ]

null

from api.models import Character, Film, Planet from rest_framework import serializers from django.contrib.auth.models import User from django.contrib.auth.hashers import make_password class CharactersSerializer(serializers.HyperlinkedModelSerializer): class Meta: model = Character fields = ('id', 'name', 'films') class FilmsSerializer(serializers.HyperlinkedModelSerializer): class Meta: model = Film fields = ('id', 'title', 'prelude', 'characters', 'planets') class PlanetsSerializer(serializers.HyperlinkedModelSerializer): class Meta: model = Planet fields = ('id', 'name', 'films')

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null

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5

d4a0a7e2d35ddfc8bcd2e12d049866fec1ffe15a

82

py

Python

crates/iks-to-fks/tests/helper-python-scripts/print-actions-to-stdout.py

chinedufn/landon

6df895621e6dd518557b6d60d0920f70e50750bb

[ "MIT" ]

117

2018-09-12T12:50:01.000Z

2022-03-14T03:24:49.000Z

crates/iks-to-fks/tests/helper-python-scripts/print-actions-to-stdout.py

chinedufn/blender-exporter

00d8daa0a3f2c9261d0e2bdd386194f141f39887

[ "MIT" ]

22

2019-03-27T11:36:41.000Z

2022-01-03T02:21:11.000Z

crates/iks-to-fks/tests/helper-python-scripts/print-actions-to-stdout.py

chinedufn/blender-exporter

00d8daa0a3f2c9261d0e2bdd386194f141f39887

[ "MIT" ]

10

2019-09-05T05:14:22.000Z

2021-10-10T16:51:00.000Z

import bpy print("The number of actions is: " + str(len(list(bpy.data.actions))))

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null

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1

0

1

0

1

0

5

d4b2bcb1baa8130d164597c9d6dd33006124a958

9,047

py

Python

tests/test_annotation.py

ECGKit/wfdb-python

0d42dfb4b2946625f00cbf500d830d374a201153

[ "MIT" ]

null

tests/test_annotation.py

ECGKit/wfdb-python

0d42dfb4b2946625f00cbf500d830d374a201153

[ "MIT" ]

null

tests/test_annotation.py

ECGKit/wfdb-python

0d42dfb4b2946625f00cbf500d830d374a201153

[ "MIT" ]

null

import os import re import unittest import numpy as np import wfdb class TestAnnotation(unittest.TestCase): """ Testing read and write of WFDB annotations, including Physionet streaming. Target files created using the original WFDB Software Package version 10.5.24 """ def test_1(self): """ Target file created with: rdann -r sample-data/100 -a atr > ann-1 """ annotation = wfdb.rdann("sample-data/100", "atr") # This is not the fault of the script. The annotation file specifies a # length 3 annotation.aux_note[0] = "(N" # aux_note field with a null written after '(N' which the script correctly picks up. I am just # getting rid of the null in this unit test to compare with the regexp output below which has # no null to detect in the output text file of rdann. # Target data from WFDB software package lines = tuple(open("tests/target-output/ann-1", "r")) nannot = len(lines) target_time = [None] * nannot target_sample = np.empty(nannot, dtype="object") target_symbol = [None] * nannot target_subtype = np.empty(nannot, dtype="object") target_chan = np.empty(nannot, dtype="object") target_num = np.empty(nannot, dtype="object") target_aux_note = [None] * nannot RXannot = re.compile( "[ \t]*(?P<time>[\[\]\w\.:]+) +(?P<sample>\d+) +(?P<symbol>.) +(?P<subtype>\d+) +(?P<chan>\d+) +(?P<num>\d+)\t?(?P<aux_note>.*)" ) for i in range(0, nannot): ( target_time[i], target_sample[i], target_symbol[i], target_subtype[i], target_chan[i], target_num[i], target_aux_note[i], ) = RXannot.findall(lines[i])[0] # Convert objects into integers target_sample = target_sample.astype("int") target_num = target_num.astype("int") target_subtype = target_subtype.astype("int") target_chan = target_chan.astype("int") # Compare comp = [ np.array_equal(annotation.sample, target_sample), np.array_equal(annotation.symbol, target_symbol), np.array_equal(annotation.subtype, target_subtype), np.array_equal(annotation.chan, target_chan), np.array_equal(annotation.num, target_num), annotation.aux_note == target_aux_note, ] # Test file streaming pn_annotation = wfdb.rdann( "100", "atr", pn_dir="mitdb", return_label_elements=["label_store", "symbol"], ) pn_annotation.aux_note[0] = "(N" pn_annotation.create_label_map() # Test file writing annotation.wrann(write_fs=True) write_annotation = wfdb.rdann( "100", "atr", return_label_elements=["label_store", "symbol"] ) write_annotation.create_label_map() assert comp == [True] * 6 assert annotation.__eq__(pn_annotation) assert annotation.__eq__(write_annotation) def test_2(self): """ Annotation file with many aux_note strings. Target file created with: rdann -r sample-data/100 -a atr > ann-2 """ annotation = wfdb.rdann("sample-data/12726", "anI") # Target data from WFDB software package lines = tuple(open("tests/target-output/ann-2", "r")) nannot = len(lines) target_time = [None] * nannot target_sample = np.empty(nannot, dtype="object") target_symbol = [None] * nannot target_subtype = np.empty(nannot, dtype="object") target_chan = np.empty(nannot, dtype="object") target_num = np.empty(nannot, dtype="object") target_aux_note = [None] * nannot RXannot = re.compile( "[ \t]*(?P<time>[\[\]\w\.:]+) +(?P<sample>\d+) +(?P<symbol>.) +(?P<subtype>\d+) +(?P<chan>\d+) +(?P<num>\d+)\t?(?P<aux_note>.*)" ) for i in range(0, nannot): ( target_time[i], target_sample[i], target_symbol[i], target_subtype[i], target_chan[i], target_num[i], target_aux_note[i], ) = RXannot.findall(lines[i])[0] # Convert objects into integers target_sample = target_sample.astype("int") target_num = target_num.astype("int") target_subtype = target_subtype.astype("int") target_chan = target_chan.astype("int") # Compare comp = [ np.array_equal(annotation.sample, target_sample), np.array_equal(annotation.symbol, target_symbol), np.array_equal(annotation.subtype, target_subtype), np.array_equal(annotation.chan, target_chan), np.array_equal(annotation.num, target_num), annotation.aux_note == target_aux_note, ] # Test file streaming pn_annotation = wfdb.rdann( "12726", "anI", pn_dir="prcp", return_label_elements=["label_store", "symbol"], ) pn_annotation.create_label_map() # Test file writing annotation.wrann(write_fs=True) write_annotation = wfdb.rdann( "12726", "anI", return_label_elements=["label_store", "symbol"] ) write_annotation.create_label_map() assert comp == [True] * 6 assert annotation.__eq__(pn_annotation) assert annotation.__eq__(write_annotation) def test_3(self): """ Annotation file with custom annotation types Target file created with: rdann -r sample-data/1003 -a atr > ann-3 """ annotation = wfdb.rdann("sample-data/1003", "atr") # Target data from WFDB software package lines = tuple(open("tests/target-output/ann-3", "r")) nannot = len(lines) target_time = [None] * nannot target_sample = np.empty(nannot, dtype="object") target_symbol = [None] * nannot target_subtype = np.empty(nannot, dtype="object") target_chan = np.empty(nannot, dtype="object") target_num = np.empty(nannot, dtype="object") target_aux_note = [None] * nannot RXannot = re.compile( "[ \t]*(?P<time>[\[\]\w\.:]+) +(?P<sample>\d+) +(?P<symbol>.) +(?P<subtype>\d+) +(?P<chan>\d+) +(?P<num>\d+)\t?(?P<aux_note>.*)" ) for i in range(0, nannot): ( target_time[i], target_sample[i], target_symbol[i], target_subtype[i], target_chan[i], target_num[i], target_aux_note[i], ) = RXannot.findall(lines[i])[0] # Convert objects into integers target_sample = target_sample.astype("int") target_num = target_num.astype("int") target_subtype = target_subtype.astype("int") target_chan = target_chan.astype("int") # Compare comp = [ np.array_equal(annotation.sample, target_sample), np.array_equal(annotation.symbol, target_symbol), np.array_equal(annotation.subtype, target_subtype), np.array_equal(annotation.chan, target_chan), np.array_equal(annotation.num, target_num), annotation.aux_note == target_aux_note, ] # Test file streaming pn_annotation = wfdb.rdann( "1003", "atr", pn_dir="challenge-2014/set-p2", return_label_elements=["label_store", "symbol"], ) pn_annotation.create_label_map() # Test file writing annotation.wrann(write_fs=True) write_annotation = wfdb.rdann( "1003", "atr", return_label_elements=["label_store", "symbol"] ) write_annotation.create_label_map() assert comp == [True] * 6 assert annotation.__eq__(pn_annotation) assert annotation.__eq__(write_annotation) def test_4(self): """ Read and write annotations with large time skips Annotation file created by: echo "xxxxxxxxx 10000000000 N 0 0 0" | wrann -r huge -a qrs """ annotation = wfdb.rdann("sample-data/huge", "qrs") self.assertEqual(annotation.sample[0], 10000000000) annotation.wrann() annotation1 = wfdb.rdann("sample-data/huge", "qrs") annotation2 = wfdb.rdann("huge", "qrs") self.assertEqual(annotation1, annotation2) @classmethod def tearDownClass(cls): writefiles = [ "100.atr", "1003.atr", "12726.anI", "huge.qrs", ] for file in writefiles: if os.path.isfile(file): os.remove(file) if __name__ == "__main__": unittest.main()

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null

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5

d4bd167d021b3c79aa9a1b18b1f8b08aefd8b9fb

6,412

py

Python

streettraffic/predefined/cities.py

streettraffic/streettraffic

26cbda67b803eb42f3fe70354689648bafd6d718

[ "MIT" ]

23

2017-08-09T19:57:23.000Z

2021-11-23T12:30:33.000Z

streettraffic/predefined/cities.py

streettraffic/streettraffic

26cbda67b803eb42f3fe70354689648bafd6d718

[ "MIT" ]

1

2018-10-04T18:17:11.000Z

2018-10-23T00:12:19.000Z

streettraffic/predefined/cities.py

streettraffic/streettraffic

26cbda67b803eb42f3fe70354689648bafd6d718

[ "MIT" ]

4

2017-10-12T03:31:34.000Z

2021-05-19T15:11:30.000Z

San_Francisco_polygon = 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Boston_polygon = [[42.32453946380133,-71.13029479980469],[42.32758538845383,-71.0489273071289],[42.330631165629846,-71.03588104248047],[42.33316920061984,-71.02180480957031],[42.339513840022754,-71.02455139160156],[42.3397676122846,-71.04412078857422],[42.34611158596906,-71.02558135986328],[42.356514317057886,-71.02317810058594],[42.348648996207956,-71.00669860839844],[42.35829022102701,-71.00360870361328],[42.353469793490646,-70.99090576171875],[42.36057345238455,-70.98918914794922],[42.363110278811256,-71.00223541259766],[42.37883631647602,-70.99983215332031],[42.37756823359386,-71.00738525390625],[42.37224200585402,-71.01631164550781],[42.37680737157286,-71.02008819580078],[42.381879610913195,-71.015625],[42.38999434161929,-71.00704193115234],[42.40444610741266,-71.00395202636719],[42.40444610741266,-71.13029479980469],[42.32453946380133,-71.13029479980469]] Pittsburgh_polygon = [[40.603526799885884,-80.09445190429688],[40.564937785967224,-80.13427734375],[40.50126945841646,-80.14801025390625],[40.42290582797254,-80.12054443359375],[40.3549167507906,-80.1287841796875],[40.330842639095756,-80.14389038085938],[40.31199603742692,-80.16311645507812],[40.319325896602095,-79.9310302734375],[40.365381076021734,-79.80056762695312],[40.57119697629581,-79.7991943359375],[40.603526799885884,-80.09445190429688]] Greenville_polygon = 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1

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null

0

5

d4c22af82f05a34bb86b9af4e9eeb653b043e9e8

189

py

Python

packs/errors/err.py

CiceroAraujo/SB

637cc4bc63c952f058c316b2b1fbfbb5cd6250c8

[ "MIT" ]

1

2020-09-09T17:42:52.000Z

packs/errors/err.py

CiceroAraujo/SB

637cc4bc63c952f058c316b2b1fbfbb5cd6250c8

[ "MIT" ]

null

packs/errors/err.py

CiceroAraujo/SB

637cc4bc63c952f058c316b2b1fbfbb5cd6250c8

[ "MIT" ]

null

class EmptyQueueError(Exception): pass class DualStructureError(Exception): pass class ConservativeVolumeError(Exception): pass class PmsFluxFacesError(Exception): pass

14.538462

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189

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true

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1

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null

1

0

null

0

1

0

5

d4e76880f4b0a2fac9f92acc5710c3b678003a77

166

py

Python

logcord/__init__.py

LaudateCorpus1/logcord

6d9866f0ecb62043c3220ae335abd67e649bd1e0

[ "MIT" ]

3

2020-12-12T22:24:24.000Z

2021-06-14T19:45:34.000Z

logcord/__init__.py

python-discord/logcord

31a23e983cd613e39aa943f48254bd532493ad1c

[ "MIT" ]

3

2021-01-17T03:50:58.000Z

2021-06-02T03:47:05.000Z

logcord/__init__.py

LaudateCorpus1/logcord

6d9866f0ecb62043c3220ae335abd67e649bd1e0

[ "MIT" ]

3

2021-02-27T15:24:47.000Z

2022-03-10T13:00:44.000Z

import hug from logcord.routes import api, frontend @hug.extend_api() def add_routes() -> None: """Adds the routes for this app.""" return [api, frontend]

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166

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0.4

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null

0

1

0

1

0

1

0

5

d4f65a5b1fa71aa8fef3d10bc42543d3b7a2a175

110

py

Python

models/__init__.py

yo16/roundrobin

0118b9f8354fcea2332e38a4553c53d100254a73

[ "MIT" ]

null

models/__init__.py

yo16/roundrobin

0118b9f8354fcea2332e38a4553c53d100254a73

[ "MIT" ]

null

models/__init__.py

yo16/roundrobin

0118b9f8354fcea2332e38a4553c53d100254a73

[ "MIT" ]

null

from .RoundRobin import regist_roundrobin, get_roundrobin from .ShortUri import create_new_uri, is_valid_uri

27.5

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0.863636

16

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0.6875

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110

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36.666667

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null

0

1

0

1

0

1

0

5

d4fcc6648b55fd8bf8db009864afc9b18c13a1dd

14,356

py

Python

tensormonk/layers/inception.py

Tensor46/TensorMONK

67617d3fdf8fde072ba9cab42de7d67c79b17494

[ "MIT" ]

29

2018-07-06T23:57:23.000Z

2022-03-08T20:38:57.000Z

tensormonk/layers/inception.py

Johnson-yue/TensorMONK

1785132b82c685c3b3fc05b00dec46b1fccfc948

[ "MIT" ]

3

2018-12-14T22:21:26.000Z

2020-06-19T02:13:34.000Z

tensormonk/layers/inception.py

Johnson-yue/TensorMONK

1785132b82c685c3b3fc05b00dec46b1fccfc948

[ "MIT" ]

8

2018-07-06T23:58:03.000Z

2021-04-12T01:35:54.000Z

""" TensorMONK :: layers :: inception """ __all__ = ["Stem2", "InceptionA", "InceptionB", "InceptionC", "ReductionA", "ReductionB"] import torch import torch.nn as nn from .convolution import Convolution from .utils import update_kwargs, compute_flops from .carryresidue import CarryModular class Stem2(nn.Module): r""" For InceptionV4 - https://arxiv.org/pdf/1602.07261.pdf All args are similar to Convolution and shift is disabled. Designed for an input tensor_size of (1, 3, 299, 299) to deliver an output of size (1, 384, 35, 35) """ def __init__(self, tensor_size=(1, 3, 299, 299), activation="relu", dropout=0., normalization="batch", pre_nm=False, groups=1, weight_nm=False, equalized=False, shift=False, bias=False, dropblock=True, **kwargs): super(Stem2, self).__init__() kwargs = update_kwargs(kwargs, *([None]*5), activation, dropout, normalization, pre_nm, groups, weight_nm, equalized, shift, bias, dropblock) self.C3_32_2 = Convolution(tensor_size, 3, 32, 2, False, **kwargs) self.C3_32_1 = Convolution(self.C3_32_2.tensor_size, 3, 32, 1, False, **kwargs) self.C3_64_1 = Convolution(self.C3_32_1.tensor_size, 3, 64, 1, True, **kwargs) self.C160 = CarryModular(self.C3_64_1.tensor_size, 3, 160, 2, False, block=Convolution, pool="max", **kwargs) channel1 = nn.Sequential() channel1.add_module("C1_64_1", Convolution(self.C160.tensor_size, 1, 64, 1, True, **kwargs)) channel1.add_module("C17_64_1", Convolution(channel1[-1].tensor_size, (1, 7), 64, 1, True, **kwargs)) channel1.add_module("C71_64_1", Convolution(channel1[-1].tensor_size, (7, 1), 64, 1, True, **kwargs)) channel1.add_module("C3_96_1", Convolution(channel1[-1].tensor_size, 3, 96, 1, False, **kwargs)) channel2 = nn.Sequential() channel2.add_module("C1_64_1", Convolution(self.C160.tensor_size, 1, 64, 1, True, **kwargs)) channel2.add_module("C3_96_1", Convolution(channel2[-1].tensor_size, 3, 96, 1, False, **kwargs)) self.C192 = CarryModular(self.C160.tensor_size, 3, 192, 2, False, block=channel1, carry_network=channel2, **kwargs) self.C384 = CarryModular(self.C192.tensor_size, 3, 384, 2, False, block=Convolution, pool="max", **kwargs) self.tensor_size = self.C384.tensor_size def forward(self, tensor): tensor = self.C3_64_1(self.C3_32_1(self.C3_32_2(tensor))) tensor = self.C160(tensor) return self.C384(self.C192(tensor)) def flops(self): return compute_flops(self) # =========================================================================== # class InceptionA(nn.Module): r""" For InceptionV4 - https://arxiv.org/pdf/1602.07261.pdf All args are similar to Convolution and shift is disabled. Designed for an input tensor_size of (1, 384, 35, 35) to deliver an output of size (1, 384, 35, 35) """ def __init__(self, tensor_size=(1, 384, 35, 35), activation="relu", dropout=0., normalization="batch", pre_nm=False, groups=1, weight_nm=False, equalized=False, shift=False, bias=False, dropblock=True, **kwargs): super(InceptionA, self).__init__() h, w = tensor_size[2:] kwargs = update_kwargs(kwargs, *([None]*4), True, activation, dropout, normalization, pre_nm, groups, weight_nm, equalized, shift, bias, dropblock) self._flops = tensor_size[1] * (h//2) * (w//2) * (3*3+1) self.path1 = nn.Sequential(nn.AvgPool2d((3, 3), (1, 1), 1), Convolution(tensor_size, 1, 96, 1, **kwargs)) self.path2 = Convolution(tensor_size, 1, 96, 1, **kwargs) path3 = [Convolution(tensor_size, 1, 64, 1, **kwargs), Convolution((1, 64, h, w), 3, 96, 1, **kwargs)] self.path3 = nn.Sequential(*path3) path4 = [Convolution(tensor_size, 1, 64, 1, **kwargs), Convolution((1, 64, h, w), 3, 96, 1, **kwargs), Convolution((1, 96, h, w), 3, 96, 1, **kwargs)] self.path4 = nn.Sequential(*path4) self.tensor_size = (1, 96*4, h, w) def forward(self, tensor): return torch.cat((self.path1(tensor), self.path2(tensor), self.path3(tensor), self.path4(tensor)), 1) def flops(self): return compute_flops(self) + self._flops # =========================================================================== # class ReductionA(nn.Module): r""" For InceptionV4 - https://arxiv.org/pdf/1602.07261.pdf All args are similar to Convolution and shift is disabled. Designed for an input tensor_size of (1, 384, 35, 35) to deliver an output of size (1, 1024, 17, 17) """ def __init__(self, tensor_size=(1, 384, 35, 35), activation="relu", dropout=0., normalization="batch", pre_nm=False, groups=1, weight_nm=False, equalized=False, shift=False, bias=False, dropblock=True, **kwargs): super(ReductionA, self).__init__() h, w = tensor_size[2:] kwargs = update_kwargs(kwargs, *([None]*5), activation, dropout, normalization, pre_nm, groups, weight_nm, equalized, shift, bias, dropblock) self._flops = tensor_size[1] * (h//2) * (w//2) * (3*3+1) self.path1 = nn.MaxPool2d((3, 3), stride=(2, 2)) self.path2 = Convolution(tensor_size, 3, 384, 2, False, **kwargs) path3 = [Convolution(tensor_size, 1, 192, 1, True, **kwargs), Convolution((1, 192, h, w), 3, 224, 1, True, **kwargs), Convolution((1, 224, h, w), 3, 256, 2, False, **kwargs)] self.path3 = nn.Sequential(*path3) self.tensor_size = (1, tensor_size[1]+384+256, self.path2.tensor_size[2], self.path2.tensor_size[3]) def forward(self, tensor): return torch.cat((self.path1(tensor), self.path2(tensor), self.path3(tensor)), 1) def flops(self): return compute_flops(self) + self._flops # =========================================================================== # class InceptionB(nn.Module): r""" For InceptionV4 - https://arxiv.org/pdf/1602.07261.pdf All args are similar to Convolution and shift is disabled. Designed for an input tensor_size of (1, 1024, 17, 17) to deliver an output of size (1, 1024, 17, 17) """ def __init__(self, tensor_size=(1, 1024, 17, 17), activation="relu", dropout=0., normalization="batch", pre_nm=False, groups=1, weight_nm=False, equalized=False, shift=False, bias=False, dropblock=True, **kwargs): super(InceptionB, self).__init__() h, w = tensor_size[2:] kwargs = update_kwargs(kwargs, *([None]*4), True, activation, dropout, normalization, pre_nm, groups, weight_nm, equalized, shift, bias, dropblock) self._flops = tensor_size[1] * (h//2) * (w//2) * (3*3+1) self.path1 = nn.Sequential(nn.AvgPool2d((3, 3), (1, 1), 1), Convolution(tensor_size, 1, 128, 1, **kwargs)) self.path2 = Convolution(tensor_size, 1, 384, 1, **kwargs) path3 = [Convolution(tensor_size, 1, 192, 1, **kwargs), Convolution((1, 192, h, w), (1, 7), 224, 1, **kwargs), Convolution((1, 224, h, w), (1, 7), 256, 1, **kwargs)] self.path3 = nn.Sequential(*path3) path4 = [Convolution(tensor_size, 1, 192, 1, **kwargs), Convolution((1, 192, h, w), (1, 7), 192, 1, **kwargs), Convolution((1, 192, h, w), (7, 1), 224, 1, **kwargs), Convolution((1, 224, h, w), (1, 7), 224, 1, **kwargs), Convolution((1, 224, h, w), (7, 1), 256, 1, **kwargs)] self.path4 = nn.Sequential(*path4) self.tensor_size = (1, 128+384+256+256, h, w) def forward(self, tensor): return torch.cat((self.path1(tensor), self.path2(tensor), self.path3(tensor), self.path4(tensor)), 1) def flops(self): return compute_flops(self) + self._flops # =========================================================================== # class ReductionB(nn.Module): r""" For InceptionV4 - https://arxiv.org/pdf/1602.07261.pdf All args are similar to Convolution and shift is disabled. Designed for an input tensor_size of (1, 1024, 17, 17) to deliver an output of size (1, 1536, 8, 8) """ def __init__(self, tensor_size=(1, 1024, 17, 17), activation="relu", dropout=0., normalization="batch", pre_nm=False, groups=1, weight_nm=False, equalized=False, shift=False, bias=False, dropblock=True, **kwargs): super(ReductionB, self).__init__() h, w = tensor_size[2:] kwargs = update_kwargs(kwargs, *([None]*5), activation, dropout, normalization, pre_nm, groups, weight_nm, equalized, shift, bias, dropblock) self._flops = tensor_size[1] * (h//2) * (w//2) * (3*3+1) self.path1 = nn.MaxPool2d((3, 3), stride=(2, 2)) path2 = [Convolution(tensor_size, 1, 192, 1, True, **kwargs), Convolution((1, 192, h, w), 3, 192, 2, False, **kwargs)] self.path2 = nn.Sequential(*path2) path3 = [Convolution(tensor_size, 1, 256, 1, True, **kwargs), Convolution((1, 256, h, w), (1, 7), 256, 1, True, **kwargs), Convolution((1, 256, h, w), (1, 7), 256, 1, True, **kwargs), Convolution((1, 256, h, w), 3, 320, 2, False, **kwargs)] self.path3 = nn.Sequential(*path3) self.tensor_size = (1, tensor_size[1]+192+320, self.path2[-1].tensor_size[2], self.path2[-1].tensor_size[3]) def forward(self, tensor): return torch.cat((self.path1(tensor), self.path2(tensor), self.path3(tensor)), 1) def flops(self): return compute_flops(self) + self._flops # =========================================================================== # class InceptionC(nn.Module): r""" For InceptionV4 - https://arxiv.org/pdf/1602.07261.pdf All args are similar to Convolution and shift is disabled. Designed for an input tensor_size of (1, 1536, 8, 8) to deliver an output of size (1, 1536, 8, 8) """ def __init__(self, tensor_size=(1, 1536, 8, 8), activation="relu", dropout=0., normalization="batch", pre_nm=False, groups=1, weight_nm=False, equalized=False, shift=False, bias=False, dropblock=True, **kwargs): super(InceptionC, self).__init__() h, w = tensor_size[2:] kwargs = update_kwargs(kwargs, *([None]*4), True, activation, dropout, normalization, pre_nm, groups, weight_nm, equalized, shift, bias, dropblock) self._flops = tensor_size[1] * (h//2) * (w//2) * (3*3+1) self.path1 = nn.Sequential(nn.AvgPool2d((3, 3), (1, 1), 1), Convolution(tensor_size, 1, 256, 1, **kwargs)) self.path2 = Convolution(tensor_size, 1, 256, 1, **kwargs) self.path3 = Convolution(tensor_size, 1, 384, 1, **kwargs) self.path3a = Convolution(self.path3.tensor_size, (1, 3), 256, 1, **kwargs) self.path3b = Convolution(self.path3.tensor_size, (3, 1), 256, 1, **kwargs) path4 = [Convolution(tensor_size, 1, 384, 1, **kwargs), Convolution((1, 384, h, w), (1, 3), 448, 1, **kwargs), Convolution((1, 448, h, w), (3, 1), 512, 1, **kwargs)] self.path4 = nn.Sequential(*path4) self.path4a = Convolution(self.path4[-1].tensor_size, (1, 3), 256, 1, **kwargs) self.path4b = Convolution(self.path4[-1].tensor_size, (3, 1), 256, 1, **kwargs) self.tensor_size = (1, 256+256+512+512, h, w) def forward(self, tensor): path3 = self.path3(tensor) path4 = self.path4(tensor) return torch.cat((self.path1(tensor), self.path2(tensor), self.path3a(path3), self.path3b(path3), self.path4a(path4), self.path4b(path4)), 1) def flops(self): return compute_flops(self) + self._flops # from tensormonk.layers import Convolution, CarryModular # from tensormonk.layers.utils import update_kwargs, compute_flops # tensor_size = (3, 3, 299, 299) # x = torch.rand(*tensor_size) # test = Stem2(tensor_size, "relu", 0., "batch", False) # test(x).size() # test.flops() # %timeit test(x).size() # test = InceptionA() # test(torch.rand(*(1, 384, 35, 35))).size() # test.flops() # test = ReductionA() # test(torch.rand(*(1, 384, 35, 35))).size() # test.flops() # test = InceptionB((1, 1024, 17, 17)) # test(torch.rand(*(1, 1024, 17, 17))).size() # test.flops() # test = ReductionB((1, 1024, 17, 17)) # test(torch.rand(*(1, 1024, 17, 17))).size() # test.flops() # test = InceptionC((1, 1536, 8, 8)) # test(torch.rand(*(1, 1536, 8, 8))).size() # test.flops()

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be12e59ad579ac928c74eba40a73b47ad6749d98

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py

Python

psyneulink/library/components/mechanisms/adaptive/control/__init__.py

bdsinger/PsyNeuLink

71d8a0bb1691ff85061d4ad3de866d9930a69a73

[ "Apache-2.0" ]

null

psyneulink/library/components/mechanisms/adaptive/control/__init__.py

bdsinger/PsyNeuLink

71d8a0bb1691ff85061d4ad3de866d9930a69a73

[ "Apache-2.0" ]

null

psyneulink/library/components/mechanisms/adaptive/control/__init__.py

bdsinger/PsyNeuLink

71d8a0bb1691ff85061d4ad3de866d9930a69a73

[ "Apache-2.0" ]

null

from . import agt from . import evc from .agt import * from .evc import * __all__ = list(agt.__all__) __all__.extend(evc.__all__)

14.666667

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5

be134a3430254a75c2395978fd411b74e47549ff

141

py

Python

specifications/views.py

CAPSLOCKFURY/django-eshop

18d47be47e568800e51c4b6ff868138a7350893b

[ "MIT" ]

2

2021-05-28T11:39:36.000Z

2021-08-20T04:43:00.000Z

specifications/views.py

CAPSLOCKFURY/django-eshop

18d47be47e568800e51c4b6ff868138a7350893b

[ "MIT" ]

null

specifications/views.py

CAPSLOCKFURY/django-eshop

18d47be47e568800e51c4b6ff868138a7350893b

[ "MIT" ]

null

""" Author : Vadim Dembitskii (CAPSLOCKFURY) License : The MIT License """ from django.shortcuts import render # Create your views here.

15.666667

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076fb3fd216a13d0ae21674f7b172c567f197d22

63

py

Python

template/main/toplevel.py

marton-munz/Skeleton

8d6780b06ed83920586b58a0caa3d13dbe3dfc03

[ "MIT" ]

null

template/main/toplevel.py

marton-munz/Skeleton

8d6780b06ed83920586b58a0caa3d13dbe3dfc03

[ "MIT" ]

null

template/main/toplevel.py

marton-munz/Skeleton

8d6780b06ed83920586b58a0caa3d13dbe3dfc03

[ "MIT" ]

null

from .version import __version__ def run(options): pass

9

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5

0771b8ed8f7092af7acabef097fb2832822f6517

459

py

Python

ex009.py

RafahOliveira/python

241db92999125d63d61d272ac75384eede40246c

[ "MIT" ]

null

ex009.py

RafahOliveira/python

241db92999125d63d61d272ac75384eede40246c

[ "MIT" ]

null

ex009.py

RafahOliveira/python

241db92999125d63d61d272ac75384eede40246c

[ "MIT" ]

null

n1 = int(input("Digite um número: ")) print("{} x {} = {}" .format(n1,1,n1*1)) print("{} x {} = {}" .format(n1,2,n1*2)) print("{} x {} = {}" .format(n1,3,n1*3)) print("{} x {} = {}" .format(n1,4,n1*4)) print("{} x {} = {}" .format(n1,5,n1*5)) print("{} x {} = {}" .format(n1,6,n1*6)) print("{} x {} = {}" .format(n1,7,n1*7)) print("{} x {} = {}" .format(n1,8,n1*8)) print("{} x {} = {}" .format(n1,9,n1*9)) print("{} x {} = {}" .format(n1,10,n1*10))

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5

ed0b661c5c341094ee944a1a369a509dc8ebe46f

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py

Python

checkov/common/checks_infra/solvers/attribute_solvers/__init__.py

peaudecastor/checkov

a4804b61c1b1390b7abd44ab53285fcbc3e7e80b

[ "Apache-2.0" ]

null

checkov/common/checks_infra/solvers/attribute_solvers/__init__.py

peaudecastor/checkov

a4804b61c1b1390b7abd44ab53285fcbc3e7e80b

[ "Apache-2.0" ]

null

checkov/common/checks_infra/solvers/attribute_solvers/__init__.py

peaudecastor/checkov

a4804b61c1b1390b7abd44ab53285fcbc3e7e80b

[ "Apache-2.0" ]

null

from checkov.common.checks_infra.solvers.attribute_solvers.any_attribute_solver import AnyResourceSolver # noqa from checkov.common.checks_infra.solvers.attribute_solvers.contains_attribute_solver import ContainsAttributeSolver # noqa from checkov.common.checks_infra.solvers.attribute_solvers.not_contains_attribute_solver import NotContainsAttributeSolver # noqa from checkov.common.checks_infra.solvers.attribute_solvers.ending_with_attribute_solver import EndingWithAttributeSolver # noqa from checkov.common.checks_infra.solvers.attribute_solvers.equals_attribute_solver import EqualsAttributeSolver # noqa from checkov.common.checks_infra.solvers.attribute_solvers.regex_match_attribute_solver import RegexMatchAttributeSolver # noqa from checkov.common.checks_infra.solvers.attribute_solvers.exists_attribute_solver import ExistsAttributeSolver # noqa from checkov.common.checks_infra.solvers.attribute_solvers.not_ending_with_attribute_solver import NotEndingWithAttributeSolver # noqa from checkov.common.checks_infra.solvers.attribute_solvers.not_equals_attribute_solver import NotEqualsAttributeSolver # noqa from checkov.common.checks_infra.solvers.attribute_solvers.not_regex_match_attribute_solver import NotRegexMatchAttributeSolver # noqa from checkov.common.checks_infra.solvers.attribute_solvers.not_exists_attribute_solver import NotExistsAttributeSolver # noqa from checkov.common.checks_infra.solvers.attribute_solvers.not_starting_with_attribute_solver import NotStartingWithAttributeSolver # noqa from checkov.common.checks_infra.solvers.attribute_solvers.starting_with_attribute_solver import StartingWithAttributeSolver # noqa from checkov.common.checks_infra.solvers.attribute_solvers.within_attribute_solver import WithinAttributeSolver # noqa from checkov.common.checks_infra.solvers.attribute_solvers.greater_than_attribute_solver import GreaterThanAttributeSolver # noqa from checkov.common.checks_infra.solvers.attribute_solvers.greater_than_or_equal_attribute_solver import GreaterThanOrEqualAttributeSolver # noqa from checkov.common.checks_infra.solvers.attribute_solvers.less_than_attribute_solver import LessThanAttributeSolver # noqa from checkov.common.checks_infra.solvers.attribute_solvers.less_than_or_equal_attribute_solver import LessThanOrEqualAttributeSolver # noqa from checkov.common.checks_infra.solvers.attribute_solvers.jsonpath_equals_attribute_solver import JsonpathEqualsAttributeSolver # noqa from checkov.common.checks_infra.solvers.attribute_solvers.jsonpath_exists_attribute_solver import JsonpathExistsAttributeSolver # noqa

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ed3716a8c944c16472afa9f766e74a0e019a4ee6

17,916

py

Python

airflow/providers/google/cloud/hooks/workflows.py

karakanb/airflow

d0cea6d849ccf11e2b1e55d3280fcca59948eb53

[ "Apache-2.0" ]

3

2020-12-25T04:09:44.000Z

2021-04-02T13:37:42.000Z

airflow/providers/google/cloud/hooks/workflows.py

karakanb/airflow

d0cea6d849ccf11e2b1e55d3280fcca59948eb53

[ "Apache-2.0" ]

5

2021-06-16T11:41:36.000Z

2022-01-27T17:20:37.000Z

airflow/providers/google/cloud/hooks/workflows.py

karakanb/airflow

d0cea6d849ccf11e2b1e55d3280fcca59948eb53

[ "Apache-2.0" ]

2

2021-12-28T22:46:07.000Z

2022-01-08T13:29:00.000Z

# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. from typing import Dict, Optional, Sequence, Tuple, Union from google.api_core.operation import Operation from google.api_core.retry import Retry from google.cloud.workflows.executions_v1beta import Execution, ExecutionsClient from google.cloud.workflows.executions_v1beta.services.executions.pagers import ListExecutionsPager from google.cloud.workflows_v1beta import Workflow, WorkflowsClient from google.cloud.workflows_v1beta.services.workflows.pagers import ListWorkflowsPager from google.protobuf.field_mask_pb2 import FieldMask from airflow.providers.google.common.hooks.base_google import GoogleBaseHook class WorkflowsHook(GoogleBaseHook): """ Hook for Google GCP APIs. All the methods in the hook where project_id is used must be called with keyword arguments rather than positional. """ def get_workflows_client(self) -> WorkflowsClient: """Returns WorkflowsClient.""" return WorkflowsClient(credentials=self._get_credentials(), client_info=self.client_info) def get_executions_client(self) -> ExecutionsClient: """Returns ExecutionsClient.""" return ExecutionsClient(credentials=self._get_credentials(), client_info=self.client_info) @GoogleBaseHook.fallback_to_default_project_id def create_workflow( self, workflow: Dict, workflow_id: str, location: str, project_id: str, retry: Optional[Retry] = None, timeout: Optional[float] = None, metadata: Optional[Sequence[Tuple[str, str]]] = None, ) -> Operation: """ Creates a new workflow. If a workflow with the specified name already exists in the specified project and location, the long running operation will return [ALREADY_EXISTS][google.rpc.Code.ALREADY_EXISTS] error. :param workflow: Required. Workflow to be created. :type workflow: Dict :param workflow_id: Required. The ID of the workflow to be created. :type workflow_id: str :param project_id: Required. The ID of the Google Cloud project the cluster belongs to. :type project_id: str :param location: Required. The GCP region in which to handle the request. :type location: str :param retry: A retry object used to retry requests. If ``None`` is specified, requests will not be retried. :type retry: google.api_core.retry.Retry :param timeout: The amount of time, in seconds, to wait for the request to complete. Note that if ``retry`` is specified, the timeout applies to each individual attempt. :type timeout: float :param metadata: Additional metadata that is provided to the method. :type metadata: Sequence[Tuple[str, str]] """ metadata = metadata or () client = self.get_workflows_client() parent = f"projects/{project_id}/locations/{location}" return client.create_workflow( request={"parent": parent, "workflow": workflow, "workflow_id": workflow_id}, retry=retry, timeout=timeout, metadata=metadata, ) @GoogleBaseHook.fallback_to_default_project_id def get_workflow( self, workflow_id: str, location: str, project_id: str, retry: Optional[Retry] = None, timeout: Optional[float] = None, metadata: Optional[Sequence[Tuple[str, str]]] = None, ) -> Workflow: """ Gets details of a single Workflow. :param workflow_id: Required. The ID of the workflow to be created. :type workflow_id: str :param project_id: Required. The ID of the Google Cloud project the cluster belongs to. :type project_id: str :param location: Required. The GCP region in which to handle the request. :type location: str :param retry: A retry object used to retry requests. If ``None`` is specified, requests will not be retried. :type retry: google.api_core.retry.Retry :param timeout: The amount of time, in seconds, to wait for the request to complete. Note that if ``retry`` is specified, the timeout applies to each individual attempt. :type timeout: float :param metadata: Additional metadata that is provided to the method. :type metadata: Sequence[Tuple[str, str]] """ metadata = metadata or () client = self.get_workflows_client() name = f"projects/{project_id}/locations/{location}/workflows/{workflow_id}" return client.get_workflow(request={"name": name}, retry=retry, timeout=timeout, metadata=metadata) def update_workflow( self, workflow: Union[Dict, Workflow], update_mask: Optional[FieldMask] = None, retry: Optional[Retry] = None, timeout: Optional[float] = None, metadata: Optional[Sequence[Tuple[str, str]]] = None, ) -> Operation: """ Updates an existing workflow. Running this method has no impact on already running executions of the workflow. A new revision of the workflow may be created as a result of a successful update operation. In that case, such revision will be used in new workflow executions. :param workflow: Required. Workflow to be created. :type workflow: Dict :param update_mask: List of fields to be updated. If not present, the entire workflow will be updated. :type update_mask: FieldMask :param retry: A retry object used to retry requests. If ``None`` is specified, requests will not be retried. :type retry: google.api_core.retry.Retry :param timeout: The amount of time, in seconds, to wait for the request to complete. Note that if ``retry`` is specified, the timeout applies to each individual attempt. :type timeout: float :param metadata: Additional metadata that is provided to the method. :type metadata: Sequence[Tuple[str, str]] """ metadata = metadata or () client = self.get_workflows_client() return client.update_workflow( request={"workflow": workflow, "update_mask": update_mask}, retry=retry, timeout=timeout, metadata=metadata, ) @GoogleBaseHook.fallback_to_default_project_id def delete_workflow( self, workflow_id: str, location: str, project_id: str, retry: Optional[Retry] = None, timeout: Optional[float] = None, metadata: Optional[Sequence[Tuple[str, str]]] = None, ) -> Operation: """ Deletes a workflow with the specified name. This method also cancels and deletes all running executions of the workflow. :param workflow_id: Required. The ID of the workflow to be created. :type workflow_id: str :param project_id: Required. The ID of the Google Cloud project the cluster belongs to. :type project_id: str :param location: Required. The GCP region in which to handle the request. :type location: str :param retry: A retry object used to retry requests. If ``None`` is specified, requests will not be retried. :type retry: google.api_core.retry.Retry :param timeout: The amount of time, in seconds, to wait for the request to complete. Note that if ``retry`` is specified, the timeout applies to each individual attempt. :type timeout: float :param metadata: Additional metadata that is provided to the method. :type metadata: Sequence[Tuple[str, str]] """ metadata = metadata or () client = self.get_workflows_client() name = f"projects/{project_id}/locations/{location}/workflows/{workflow_id}" return client.delete_workflow(request={"name": name}, retry=retry, timeout=timeout, metadata=metadata) @GoogleBaseHook.fallback_to_default_project_id def list_workflows( self, location: str, project_id: str, filter_: Optional[str] = None, order_by: Optional[str] = None, retry: Optional[Retry] = None, timeout: Optional[float] = None, metadata: Optional[Sequence[Tuple[str, str]]] = None, ) -> ListWorkflowsPager: """ Lists Workflows in a given project and location. The default order is not specified. :param filter_: Filter to restrict results to specific workflows. :type filter_: str :param order_by: Comma-separated list of fields that specifies the order of the results. Default sorting order for a field is ascending. To specify descending order for a field, append a "desc" suffix. If not specified, the results will be returned in an unspecified order. :type order_by: str :param project_id: Required. The ID of the Google Cloud project the cluster belongs to. :type project_id: str :param location: Required. The GCP region in which to handle the request. :type location: str :param retry: A retry object used to retry requests. If ``None`` is specified, requests will not be retried. :type retry: google.api_core.retry.Retry :param timeout: The amount of time, in seconds, to wait for the request to complete. Note that if ``retry`` is specified, the timeout applies to each individual attempt. :type timeout: float :param metadata: Additional metadata that is provided to the method. :type metadata: Sequence[Tuple[str, str]] """ metadata = metadata or () client = self.get_workflows_client() parent = f"projects/{project_id}/locations/{location}" return client.list_workflows( request={"parent": parent, "filter": filter_, "order_by": order_by}, retry=retry, timeout=timeout, metadata=metadata, ) @GoogleBaseHook.fallback_to_default_project_id def create_execution( self, workflow_id: str, location: str, project_id: str, execution: Dict, retry: Optional[Retry] = None, timeout: Optional[float] = None, metadata: Optional[Sequence[Tuple[str, str]]] = None, ) -> Execution: """ Creates a new execution using the latest revision of the given workflow. :param execution: Required. Input parameters of the execution represented as a dictionary. :type execution: Dict :param workflow_id: Required. The ID of the workflow. :type workflow_id: str :param project_id: Required. The ID of the Google Cloud project the cluster belongs to. :type project_id: str :param location: Required. The GCP region in which to handle the request. :type location: str :param retry: A retry object used to retry requests. If ``None`` is specified, requests will not be retried. :type retry: google.api_core.retry.Retry :param timeout: The amount of time, in seconds, to wait for the request to complete. Note that if ``retry`` is specified, the timeout applies to each individual attempt. :type timeout: float :param metadata: Additional metadata that is provided to the method. :type metadata: Sequence[Tuple[str, str]] """ metadata = metadata or () client = self.get_executions_client() parent = f"projects/{project_id}/locations/{location}/workflows/{workflow_id}" return client.create_execution( request={"parent": parent, "execution": execution}, retry=retry, timeout=timeout, metadata=metadata, ) @GoogleBaseHook.fallback_to_default_project_id def get_execution( self, workflow_id: str, execution_id: str, location: str, project_id: str, retry: Optional[Retry] = None, timeout: Optional[float] = None, metadata: Optional[Sequence[Tuple[str, str]]] = None, ) -> Execution: """ Returns an execution for the given ``workflow_id`` and ``execution_id``. :param workflow_id: Required. The ID of the workflow. :type workflow_id: str :param execution_id: Required. The ID of the execution. :type execution_id: str :param project_id: Required. The ID of the Google Cloud project the cluster belongs to. :type project_id: str :param location: Required. The GCP region in which to handle the request. :type location: str :param retry: A retry object used to retry requests. If ``None`` is specified, requests will not be retried. :type retry: google.api_core.retry.Retry :param timeout: The amount of time, in seconds, to wait for the request to complete. Note that if ``retry`` is specified, the timeout applies to each individual attempt. :type timeout: float :param metadata: Additional metadata that is provided to the method. :type metadata: Sequence[Tuple[str, str]] """ metadata = metadata or () client = self.get_executions_client() name = f"projects/{project_id}/locations/{location}/workflows/{workflow_id}/executions/{execution_id}" return client.get_execution(request={"name": name}, retry=retry, timeout=timeout, metadata=metadata) @GoogleBaseHook.fallback_to_default_project_id def cancel_execution( self, workflow_id: str, execution_id: str, location: str, project_id: str, retry: Optional[Retry] = None, timeout: Optional[float] = None, metadata: Optional[Sequence[Tuple[str, str]]] = None, ) -> Execution: """ Cancels an execution using the given ``workflow_id`` and ``execution_id``. :param workflow_id: Required. The ID of the workflow. :type workflow_id: str :param execution_id: Required. The ID of the execution. :type execution_id: str :param project_id: Required. The ID of the Google Cloud project the cluster belongs to. :type project_id: str :param location: Required. The GCP region in which to handle the request. :type location: str :param retry: A retry object used to retry requests. If ``None`` is specified, requests will not be retried. :type retry: google.api_core.retry.Retry :param timeout: The amount of time, in seconds, to wait for the request to complete. Note that if ``retry`` is specified, the timeout applies to each individual attempt. :type timeout: float :param metadata: Additional metadata that is provided to the method. :type metadata: Sequence[Tuple[str, str]] """ metadata = metadata or () client = self.get_executions_client() name = f"projects/{project_id}/locations/{location}/workflows/{workflow_id}/executions/{execution_id}" return client.cancel_execution( request={"name": name}, retry=retry, timeout=timeout, metadata=metadata ) @GoogleBaseHook.fallback_to_default_project_id def list_executions( self, workflow_id: str, location: str, project_id: str, retry: Optional[Retry] = None, timeout: Optional[float] = None, metadata: Optional[Sequence[Tuple[str, str]]] = None, ) -> ListExecutionsPager: """ Returns a list of executions which belong to the workflow with the given name. The method returns executions of all workflow revisions. Returned executions are ordered by their start time (newest first). :param workflow_id: Required. The ID of the workflow to be created. :type workflow_id: str :param project_id: Required. The ID of the Google Cloud project the cluster belongs to. :type project_id: str :param location: Required. The GCP region in which to handle the request. :type location: str :param retry: A retry object used to retry requests. If ``None`` is specified, requests will not be retried. :type retry: google.api_core.retry.Retry :param timeout: The amount of time, in seconds, to wait for the request to complete. Note that if ``retry`` is specified, the timeout applies to each individual attempt. :type timeout: float :param metadata: Additional metadata that is provided to the method. :type metadata: Sequence[Tuple[str, str]] """ metadata = metadata or () client = self.get_executions_client() parent = f"projects/{project_id}/locations/{location}/workflows/{workflow_id}" return client.list_executions( request={"parent": parent}, retry=retry, timeout=timeout, metadata=metadata )

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ed39cda0ddf307d8b90e9cfcebe9c61a9ce66abd

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py

Python

tests/common_test.py

portintegration/releasetool

7567bd29b3c13b14f6336cbdb11965c2d2b65a2e

[ "Apache-2.0" ]

null

tests/common_test.py

portintegration/releasetool

7567bd29b3c13b14f6336cbdb11965c2d2b65a2e

[ "Apache-2.0" ]

null

tests/common_test.py

portintegration/releasetool

7567bd29b3c13b14f6336cbdb11965c2d2b65a2e

[ "Apache-2.0" ]

null

# Copyright 2020 Google LLC # # 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 # # https://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. import json import os import pathlib import pytest import string from autorelease import github from autorelease.common import _determine_language, guess_language if not os.environ.get("GITHUB_TOKEN"): pytest.skip( "skipping tests that require a valid github token", allow_module_level=True ) def repo_name_to_test_name(repo_name: str) -> str: letters = [] for letter in repo_name: if letter in string.ascii_lowercase: letters.append(letter) elif letter in string.ascii_uppercase: if letters: letters.append("_") letters.append(letter.lower()) else: letters.append("_") return "test_guess_" + "".join(letters) def test_determine_language(): # determine_language() is the old function that depends on sloth's repo.json. # Use it to generate the code for test_guess_language() so we can confirm # the output is 100% the same. repos_json = (pathlib.Path(__file__).parent / "testdata" / "repos.json").read_text() repos = json.loads(repos_json)["repos"] python_tools_repo_names = [ "googleapis/releasetool", "googleapis/synthtool", "googleapis/docuploader", ] repo_names = python_tools_repo_names + [repo["repo"] for repo in repos] languages = set() for name in repo_names: language = _determine_language(lambda: repos_json, name) languages.add((language, name)) for language, name in sorted(languages): test_name = repo_name_to_test_name(name) print( f"""def {test_name}(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert {repr(language)} == guess_language(gh, {repr(name)}) """ ) def test_guess_google_cloud_platform_cpp_docs_samples(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "cpp" == guess_language(gh, "GoogleCloudPlatform/cpp-docs-samples") def test_guess_googleapis_google_cloud_cpp(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "cpp" == guess_language(gh, "googleapis/google-cloud-cpp") def test_guess_google_cloud_platform_cloud_code_samples(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "dotnet" == guess_language(gh, "GoogleCloudPlatform/cloud-code-samples") def test_guess_google_cloud_platform_dotnet_docs_samples(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "dotnet" == guess_language(gh, "GoogleCloudPlatform/dotnet-docs-samples") def test_guess_google_cloud_platform_getting_started_dotnet(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "dotnet" == guess_language(gh, "GoogleCloudPlatform/getting-started-dotnet") def test_guess_google_cloud_platform_stackdriver_sandbox(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "dotnet" == guess_language(gh, "GoogleCloudPlatform/stackdriver-sandbox") def test_guess_googleapis_gapic_generator_csharp(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "dotnet" == guess_language(gh, "googleapis/gapic-generator-csharp") def test_guess_googleapis_gax_dotnet(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "dotnet" == guess_language(gh, "googleapis/gax-dotnet") def test_guess_googleapis_google_api_dotnet_client(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "dotnet" == guess_language(gh, "googleapis/google-api-dotnet-client") def test_guess_googleapis_google_cloud_dotnet(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "dotnet" == guess_language(gh, "googleapis/google-cloud-dotnet") def test_guess_google_cloud_platform_elixir_samples(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "elixir" == guess_language(gh, "GoogleCloudPlatform/elixir-samples") def test_guess_googleapis_elixir_google_api(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "elixir" == guess_language(gh, "googleapis/elixir-google-api") def test_guess_google_cloud_platform_golang_samples(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "go" == guess_language(gh, "GoogleCloudPlatform/golang-samples") def test_guess_googleapis_gapic_generator_go(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "go" == guess_language(gh, "googleapis/gapic-generator-go") def test_guess_googleapis_gax_go(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "go" == guess_language(gh, "googleapis/gax-go") def test_guess_googleapis_go_genproto(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "go" == guess_language(gh, "googleapis/go-genproto") def test_guess_googleapis_google_api_go_client(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "go" == guess_language(gh, "googleapis/google-api-go-client") def test_guess_googleapis_google_cloud_go(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "go" == guess_language(gh, "googleapis/google-cloud-go") def test_guess_googleapis_google_cloud_go_testing(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "go" == guess_language(gh, "googleapis/google-cloud-go-testing") def test_guess_google_cloud_platform_getting_started_java(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "GoogleCloudPlatform/getting-started-java") def test_guess_google_cloud_platform_java_docs_samples(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "GoogleCloudPlatform/java-docs-samples") def test_guess_googleapis_api_common_java(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/api-common-java") def test_guess_googleapis_gapic_generator(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/gapic-generator") def test_guess_googleapis_gax_java(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/gax-java") def test_guess_googleapis_google_api_java_client(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/google-api-java-client") def test_guess_googleapis_google_api_java_client_services(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/google-api-java-client-services") def test_guess_googleapis_google_auth_library_java(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/google-auth-library-java") def test_guess_googleapis_google_cloud_java(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/google-cloud-java") def test_guess_googleapis_google_http_java_client(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/google-http-java-client") def test_guess_googleapis_google_oauth_java_client(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/google-oauth-java-client") def test_guess_googleapis_java_accessapproval(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-accessapproval") def test_guess_googleapis_java_accesscontextmanager(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-accesscontextmanager") def test_guess_googleapis_java_analytics_admin(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-analytics-admin") def test_guess_googleapis_java_asset(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-asset") def test_guess_googleapis_java_automl(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-automl") def test_guess_googleapis_java_bigquery(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-bigquery") def test_guess_googleapis_java_bigqueryconnection(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-bigqueryconnection") def test_guess_googleapis_java_bigquerydatatransfer(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-bigquerydatatransfer") def test_guess_googleapis_java_bigqueryreservation(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-bigqueryreservation") def test_guess_googleapis_java_bigquerystorage(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-bigquerystorage") def test_guess_googleapis_java_bigtable(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-bigtable") def test_guess_googleapis_java_bigtable_emulator(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-bigtable-emulator") def test_guess_googleapis_java_bigtable_hbase(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-bigtable-hbase") def test_guess_googleapis_java_billing(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-billing") def test_guess_googleapis_java_billingbudgets(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-billingbudgets") def test_guess_googleapis_java_cloud_bom(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-cloud-bom") def test_guess_googleapis_java_cloudbuild(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-cloudbuild") def test_guess_googleapis_java_common_protos(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-common-protos") def test_guess_googleapis_java_compute(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-compute") def test_guess_googleapis_java_conformance_tests(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-conformance-tests") def test_guess_googleapis_java_container(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-container") def test_guess_googleapis_java_containeranalysis(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-containeranalysis") def test_guess_googleapis_java_core(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-core") def test_guess_googleapis_java_datacatalog(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-datacatalog") def test_guess_googleapis_java_datalabeling(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-datalabeling") def test_guess_googleapis_java_dataproc(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-dataproc") def test_guess_googleapis_java_datastore(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-datastore") def test_guess_googleapis_java_dialogflow(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-dialogflow") def test_guess_googleapis_java_dlp(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-dlp") def test_guess_googleapis_java_dns(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-dns") def test_guess_googleapis_java_document_ai(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-document-ai") def test_guess_googleapis_java_errorreporting(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-errorreporting") def test_guess_googleapis_java_firestore(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-firestore") def test_guess_googleapis_java_functions(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-functions") def test_guess_googleapis_java_game_servers(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-game-servers") def test_guess_googleapis_java_gcloud_maven_plugin(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-gcloud-maven-plugin") def test_guess_googleapis_java_grafeas(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-grafeas") def test_guess_googleapis_java_iam(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-iam") def test_guess_googleapis_java_iamcredentials(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-iamcredentials") def test_guess_googleapis_java_iot(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-iot") def test_guess_googleapis_java_irm(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-irm") def test_guess_googleapis_java_kms(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-kms") def test_guess_googleapis_java_language(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-language") def test_guess_googleapis_java_logging(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-logging") def test_guess_googleapis_java_logging_logback(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-logging-logback") def test_guess_googleapis_java_mediatranslation(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-mediatranslation") def test_guess_googleapis_java_memcache(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-memcache") def test_guess_googleapis_java_monitoring(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-monitoring") def test_guess_googleapis_java_monitoring_dashboards(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-monitoring-dashboards") def test_guess_googleapis_java_notebooks(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-notebooks") def test_guess_googleapis_java_notification(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-notification") def test_guess_googleapis_java_orgpolicy(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-orgpolicy") def test_guess_googleapis_java_os_config(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-os-config") def test_guess_googleapis_java_os_login(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-os-login") def test_guess_googleapis_java_phishingprotection(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-phishingprotection") def test_guess_googleapis_java_pubsub(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-pubsub") def test_guess_googleapis_java_pubsublite(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-pubsublite") def test_guess_googleapis_java_recaptchaenterprise(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-recaptchaenterprise") def test_guess_googleapis_java_recommendations_ai(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-recommendations-ai") def test_guess_googleapis_java_recommender(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-recommender") def test_guess_googleapis_java_redis(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-redis") def test_guess_googleapis_java_resourcemanager(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-resourcemanager") def test_guess_googleapis_java_scheduler(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-scheduler") def test_guess_googleapis_java_secretmanager(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-secretmanager") def test_guess_googleapis_java_securitycenter(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-securitycenter") def test_guess_googleapis_java_securitycenter_settings(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-securitycenter-settings") def test_guess_googleapis_java_servicedirectory(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-servicedirectory") def test_guess_googleapis_java_shared_config(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-shared-config") def test_guess_googleapis_java_shared_dependencies(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-shared-dependencies") def test_guess_googleapis_java_spanner(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-spanner") def test_guess_googleapis_java_spanner_jdbc(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-spanner-jdbc") def test_guess_googleapis_java_speech(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-speech") def test_guess_googleapis_java_storage(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-storage") def test_guess_googleapis_java_storage_nio(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-storage-nio") def test_guess_googleapis_java_talent(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-talent") def test_guess_googleapis_java_tasks(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-tasks") def test_guess_googleapis_java_texttospeech(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-texttospeech") def test_guess_googleapis_java_trace(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-trace") def test_guess_googleapis_java_translate(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-translate") def test_guess_googleapis_java_video_intelligence(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-video-intelligence") def test_guess_googleapis_java_vision(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-vision") def test_guess_googleapis_java_webrisk(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-webrisk") def test_guess_googleapis_java_websecurityscanner(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "java" == guess_language(gh, "googleapis/java-websecurityscanner") def test_guess_google_cloud_platform_nodejs_docs_samples(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "GoogleCloudPlatform/nodejs-docs-samples") def test_guess_google_cloud_platform_nodejs_getting_started(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "GoogleCloudPlatform/nodejs-getting-started") def test_guess_googleapis_cloud_debug_nodejs(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/cloud-debug-nodejs") def test_guess_googleapis_cloud_profiler_nodejs(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/cloud-profiler-nodejs") def test_guess_googleapis_cloud_trace_nodejs(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/cloud-trace-nodejs") def test_guess_googleapis_code_suggester(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/code-suggester") def test_guess_googleapis_gapic_generator_typescript(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/gapic-generator-typescript") def test_guess_googleapis_gax_nodejs(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/gax-nodejs") def test_guess_googleapis_gaxios(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/gaxios") def test_guess_googleapis_gcp_metadata(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/gcp-metadata") def test_guess_googleapis_gcs_resumable_upload(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/gcs-resumable-upload") def test_guess_googleapis_github_repo_automation(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/github-repo-automation") def test_guess_googleapis_google_api_nodejs_client(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/google-api-nodejs-client") def test_guess_googleapis_google_auth_library_nodejs(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/google-auth-library-nodejs") def test_guess_googleapis_google_cloud_node(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/google-cloud-node") def test_guess_googleapis_google_p___pem(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/google-p12-pem") def test_guess_googleapis_jsdoc_fresh(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/jsdoc-fresh") def test_guess_googleapis_jsdoc_region_tag(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/jsdoc-region-tag") def test_guess_googleapis_node_gtoken(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/node-gtoken") def test_guess_googleapis_nodejs_analytics_admin(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-analytics-admin") def test_guess_googleapis_nodejs_asset(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-asset") def test_guess_googleapis_nodejs_automl(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-automl") def test_guess_googleapis_nodejs_bigquery(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-bigquery") def test_guess_googleapis_nodejs_bigquery_connection(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-bigquery-connection") def test_guess_googleapis_nodejs_bigquery_data_transfer(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-bigquery-data-transfer") def test_guess_googleapis_nodejs_bigquery_reservation(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-bigquery-reservation") def test_guess_googleapis_nodejs_bigquery_storage(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-bigquery-storage") def test_guess_googleapis_nodejs_bigtable(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-bigtable") def test_guess_googleapis_nodejs_billing(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-billing") def test_guess_googleapis_nodejs_billing_budgets(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-billing-budgets") def test_guess_googleapis_nodejs_cloud_container(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-cloud-container") def test_guess_googleapis_nodejs_cloudbuild(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-cloudbuild") def test_guess_googleapis_nodejs_common(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-common") def test_guess_googleapis_nodejs_compute(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-compute") def test_guess_googleapis_nodejs_containeranalysis(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-containeranalysis") def test_guess_googleapis_nodejs_datacatalog(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-datacatalog") def test_guess_googleapis_nodejs_datalabeling(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-datalabeling") def test_guess_googleapis_nodejs_dataproc(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-dataproc") def test_guess_googleapis_nodejs_datastore(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-datastore") def test_guess_googleapis_nodejs_datastore_kvstore(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-datastore-kvstore") def test_guess_googleapis_nodejs_datastore_session(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-datastore-session") def test_guess_googleapis_nodejs_dialogflow(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-dialogflow") def test_guess_googleapis_nodejs_dlp(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-dlp") def test_guess_googleapis_nodejs_dns(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-dns") def test_guess_googleapis_nodejs_document_ai(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-document-ai") def test_guess_googleapis_nodejs_error_reporting(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-error-reporting") def test_guess_googleapis_nodejs_firestore(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-firestore") def test_guess_googleapis_nodejs_firestore_session(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-firestore-session") def test_guess_googleapis_nodejs_functions(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-functions") def test_guess_googleapis_nodejs_game_servers(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-game-servers") def test_guess_googleapis_nodejs_gce_images(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-gce-images") def test_guess_googleapis_nodejs_googleapis_common(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-googleapis-common") def test_guess_googleapis_nodejs_grafeas(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-grafeas") def test_guess_googleapis_nodejs_iot(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-iot") def test_guess_googleapis_nodejs_irm(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-irm") def test_guess_googleapis_nodejs_kms(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-kms") def test_guess_googleapis_nodejs_language(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-language") def test_guess_googleapis_nodejs_local_auth(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-local-auth") def test_guess_googleapis_nodejs_logging(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-logging") def test_guess_googleapis_nodejs_logging_bunyan(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-logging-bunyan") def test_guess_googleapis_nodejs_logging_winston(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-logging-winston") def test_guess_googleapis_nodejs_media_translation(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-media-translation") def test_guess_googleapis_nodejs_memcache(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-memcache") def test_guess_googleapis_nodejs_monitoring(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-monitoring") def test_guess_googleapis_nodejs_monitoring_dashboards(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-monitoring-dashboards") def test_guess_googleapis_nodejs_os_config(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-os-config") def test_guess_googleapis_nodejs_os_login(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-os-login") def test_guess_googleapis_nodejs_paginator(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-paginator") def test_guess_googleapis_nodejs_phishing_protection(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-phishing-protection") def test_guess_googleapis_nodejs_precise_date(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-precise-date") def test_guess_googleapis_nodejs_projectify(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-projectify") def test_guess_googleapis_nodejs_promisify(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-promisify") def test_guess_googleapis_nodejs_proto_files(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-proto-files") def test_guess_googleapis_nodejs_pubsub(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-pubsub") def test_guess_googleapis_nodejs_rcloadenv(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-rcloadenv") def test_guess_googleapis_nodejs_recaptcha_enterprise(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-recaptcha-enterprise") def test_guess_googleapis_nodejs_recommender(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-recommender") def test_guess_googleapis_nodejs_redis(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-redis") def test_guess_googleapis_nodejs_resource(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-resource") def test_guess_googleapis_nodejs_scheduler(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-scheduler") def test_guess_googleapis_nodejs_secret_manager(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-secret-manager") def test_guess_googleapis_nodejs_security_center(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-security-center") def test_guess_googleapis_nodejs_service_directory(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-service-directory") def test_guess_googleapis_nodejs_spanner(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-spanner") def test_guess_googleapis_nodejs_speech(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-speech") def test_guess_googleapis_nodejs_storage(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-storage") def test_guess_googleapis_nodejs_talent(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-talent") def test_guess_googleapis_nodejs_tasks(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-tasks") def test_guess_googleapis_nodejs_text_to_speech(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-text-to-speech") def test_guess_googleapis_nodejs_translate(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-translate") def test_guess_googleapis_nodejs_video_intelligence(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-video-intelligence") def test_guess_googleapis_nodejs_vision(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-vision") def test_guess_googleapis_nodejs_web_risk(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/nodejs-web-risk") def test_guess_googleapis_release_please(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/release-please") def test_guess_googleapis_repo_automation_bots(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/repo-automation-bots") def test_guess_googleapis_sloth(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/sloth") def test_guess_googleapis_teeny_request(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "nodejs" == guess_language(gh, "googleapis/teeny-request") def test_guess_google_cloud_platform_getting_started_php(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "GoogleCloudPlatform/getting-started-php") def test_guess_google_cloud_platform_php_docs_samples(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "GoogleCloudPlatform/php-docs-samples") def test_guess_googleapis_gax_php(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/gax-php") def test_guess_googleapis_google_api_php_client(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-api-php-client") def test_guess_googleapis_google_api_php_client_services(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-api-php-client-services") def test_guess_googleapis_google_auth_library_php(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-auth-library-php") def test_guess_googleapis_google_cloud_php(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-cloud-php") def test_guess_googleapis_google_cloud_php_asset(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-cloud-php-asset") def test_guess_googleapis_google_cloud_php_automl(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-cloud-php-automl") def test_guess_googleapis_google_cloud_php_bigquery(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-cloud-php-bigquery") def test_guess_googleapis_google_cloud_php_bigquerydatatransfer(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language( gh, "googleapis/google-cloud-php-bigquerydatatransfer" ) def test_guess_googleapis_google_cloud_php_bigtable(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-cloud-php-bigtable") def test_guess_googleapis_google_cloud_php_common_protos(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-cloud-php-common-protos") def test_guess_googleapis_google_cloud_php_container(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-cloud-php-container") def test_guess_googleapis_google_cloud_php_core(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-cloud-php-core") def test_guess_googleapis_google_cloud_php_dataproc(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-cloud-php-dataproc") def test_guess_googleapis_google_cloud_php_datastore(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-cloud-php-datastore") def test_guess_googleapis_google_cloud_php_debugger(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-cloud-php-debugger") def test_guess_googleapis_google_cloud_php_dialogflow(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-cloud-php-dialogflow") def test_guess_googleapis_google_cloud_php_dlp(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-cloud-php-dlp") def test_guess_googleapis_google_cloud_php_errorreporting(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-cloud-php-errorreporting") def test_guess_googleapis_google_cloud_php_firestore(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-cloud-php-firestore") def test_guess_googleapis_google_cloud_php_iot(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-cloud-php-iot") def test_guess_googleapis_google_cloud_php_irm(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-cloud-php-irm") def test_guess_googleapis_google_cloud_php_kms(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-cloud-php-kms") def test_guess_googleapis_google_cloud_php_language(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-cloud-php-language") def test_guess_googleapis_google_cloud_php_logging(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-cloud-php-logging") def test_guess_googleapis_google_cloud_php_monitoring(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-cloud-php-monitoring") def test_guess_googleapis_google_cloud_php_oslogin(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-cloud-php-oslogin") def test_guess_googleapis_google_cloud_php_pubsub(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-cloud-php-pubsub") def test_guess_googleapis_google_cloud_php_recommender(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-cloud-php-recommender") def test_guess_googleapis_google_cloud_php_redis(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-cloud-php-redis") def test_guess_googleapis_google_cloud_php_scheduler(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-cloud-php-scheduler") def test_guess_googleapis_google_cloud_php_secret_manager(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-cloud-php-secret-manager") def test_guess_googleapis_google_cloud_php_security_center(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-cloud-php-security-center") def test_guess_googleapis_google_cloud_php_spanner(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-cloud-php-spanner") def test_guess_googleapis_google_cloud_php_speech(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-cloud-php-speech") def test_guess_googleapis_google_cloud_php_storage(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-cloud-php-storage") def test_guess_googleapis_google_cloud_php_talent(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-cloud-php-talent") def test_guess_googleapis_google_cloud_php_tasks(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-cloud-php-tasks") def test_guess_googleapis_google_cloud_php_text_to_speech(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-cloud-php-text-to-speech") def test_guess_googleapis_google_cloud_php_trace(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-cloud-php-trace") def test_guess_googleapis_google_cloud_php_translate(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-cloud-php-translate") def test_guess_googleapis_google_cloud_php_videointelligence(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-cloud-php-videointelligence") def test_guess_googleapis_google_cloud_php_vision(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-cloud-php-vision") def test_guess_googleapis_google_cloud_php_web_risk(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language(gh, "googleapis/google-cloud-php-web-risk") def test_guess_googleapis_google_cloud_php_web_security_scanner(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "php" == guess_language( gh, "googleapis/google-cloud-php-web-security-scanner" ) def test_guess_google_cloud_platform_getting_started_python(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "GoogleCloudPlatform/getting-started-python") def test_guess_google_cloud_platform_python_docs_samples(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "GoogleCloudPlatform/python-docs-samples") def test_guess_googleapis_dialogflow_python_client_v_(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/dialogflow-python-client-v2") def test_guess_googleapis_doc_pipeline(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/doc-pipeline") def test_guess_googleapis_doc_templates(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/doc-templates") def test_guess_googleapis_gapic_generator_python(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/gapic-generator-python") def test_guess_googleapis_google_api_python_client(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/google-api-python-client") def test_guess_googleapis_google_auth_library_python(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/google-auth-library-python") def test_guess_googleapis_google_auth_library_python_oauthlib(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language( gh, "googleapis/google-auth-library-python-oauthlib" ) def test_guess_googleapis_google_cloud_python(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/google-cloud-python") def test_guess_googleapis_google_cloud_python_happybase(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/google-cloud-python-happybase") def test_guess_googleapis_google_resumable_media_python(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/google-resumable-media-python") def test_guess_googleapis_proto_plus_python(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/proto-plus-python") def test_guess_googleapis_python_access_approval(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-access-approval") def test_guess_googleapis_python_access_context_manager(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-access-context-manager") def test_guess_googleapis_python_analytics_admin(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-analytics-admin") def test_guess_googleapis_python_api_common_protos(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-api-common-protos") def test_guess_googleapis_python_api_core(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-api-core") def test_guess_googleapis_python_asset(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-asset") def test_guess_googleapis_python_audit_log(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-audit-log") def test_guess_googleapis_python_automl(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-automl") def test_guess_googleapis_python_bigquery(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-bigquery") def test_guess_googleapis_python_bigquery_connection(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-bigquery-connection") def test_guess_googleapis_python_bigquery_datatransfer(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-bigquery-datatransfer") def test_guess_googleapis_python_bigquery_reservation(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-bigquery-reservation") def test_guess_googleapis_python_bigquery_storage(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-bigquery-storage") def test_guess_googleapis_python_bigtable(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-bigtable") def test_guess_googleapis_python_billing(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-billing") def test_guess_googleapis_python_billingbudgets(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-billingbudgets") def test_guess_googleapis_python_cloud_core(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-cloud-core") def test_guess_googleapis_python_cloudbuild(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-cloudbuild") def test_guess_googleapis_python_container(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-container") def test_guess_googleapis_python_containeranalysis(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-containeranalysis") def test_guess_googleapis_python_crc__c(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-crc32c") def test_guess_googleapis_python_datacatalog(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-datacatalog") def test_guess_googleapis_python_datalabeling(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-datalabeling") def test_guess_googleapis_python_dataproc(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-dataproc") def test_guess_googleapis_python_datastore(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-datastore") def test_guess_googleapis_python_dlp(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-dlp") def test_guess_googleapis_python_dns(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-dns") def test_guess_googleapis_python_documentai(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-documentai") def test_guess_googleapis_python_error_reporting(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-error-reporting") def test_guess_googleapis_python_firestore(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-firestore") def test_guess_googleapis_python_functions(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-functions") def test_guess_googleapis_python_game_servers(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-game-servers") def test_guess_googleapis_python_grafeas(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-grafeas") def test_guess_googleapis_python_iam(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-iam") def test_guess_googleapis_python_iot(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-iot") def test_guess_googleapis_python_kms(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-kms") def test_guess_googleapis_python_language(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-language") def test_guess_googleapis_python_logging(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-logging") def test_guess_googleapis_python_media_translation(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-media-translation") def test_guess_googleapis_python_memcache(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-memcache") def test_guess_googleapis_python_monitoring(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-monitoring") def test_guess_googleapis_python_monitoring_dashboards(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-monitoring-dashboards") def test_guess_googleapis_python_ndb(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-ndb") def test_guess_googleapis_python_notebooks(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-notebooks") def test_guess_googleapis_python_org_policy(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-org-policy") def test_guess_googleapis_python_os_config(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-os-config") def test_guess_googleapis_python_oslogin(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-oslogin") def test_guess_googleapis_python_phishingprotection(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-phishingprotection") def test_guess_googleapis_python_pubsub(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-pubsub") def test_guess_googleapis_python_recaptcha_enterprise(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-recaptcha-enterprise") def test_guess_googleapis_python_recommendations_ai(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-recommendations-ai") def test_guess_googleapis_python_recommender(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-recommender") def test_guess_googleapis_python_redis(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-redis") def test_guess_googleapis_python_resource_manager(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-resource-manager") def test_guess_googleapis_python_runtimeconfig(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-runtimeconfig") def test_guess_googleapis_python_scheduler(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-scheduler") def test_guess_googleapis_python_secret_manager(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-secret-manager") def test_guess_googleapis_python_securitycenter(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-securitycenter") def test_guess_googleapis_python_service_directory(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-service-directory") def test_guess_googleapis_python_spanner(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-spanner") def test_guess_googleapis_python_spanner_django(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-spanner-django") def test_guess_googleapis_python_speech(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-speech") def test_guess_googleapis_python_storage(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-storage") def test_guess_googleapis_python_talent(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-talent") def test_guess_googleapis_python_tasks(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-tasks") def test_guess_googleapis_python_test_utils(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-test-utils") def test_guess_googleapis_python_texttospeech(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-texttospeech") def test_guess_googleapis_python_trace(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-trace") def test_guess_googleapis_python_translate(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-translate") def test_guess_googleapis_python_videointelligence(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-videointelligence") def test_guess_googleapis_python_vision(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-vision") def test_guess_googleapis_python_webrisk(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-webrisk") def test_guess_googleapis_python_websecurityscanner(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/python-websecurityscanner") def test_guess_googleapis_sample_tester(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/sample-tester") def test_guess_googleapis_docuploader(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python_tool" == guess_language(gh, "googleapis/docuploader") def test_guess_googleapis_releasetool(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python" == guess_language(gh, "googleapis/releasetool") def test_guess_googleapis_synthtool(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "python_tool" == guess_language(gh, "googleapis/synthtool") def test_guess_google_cloud_platform_getting_started_ruby(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "ruby" == guess_language(gh, "GoogleCloudPlatform/getting-started-ruby") def test_guess_google_cloud_platform_ruby_docs_samples(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "ruby" == guess_language(gh, "GoogleCloudPlatform/ruby-docs-samples") def test_guess_googleapis_discovery_artifact_manager(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "ruby" == guess_language(gh, "googleapis/discovery-artifact-manager") def test_guess_googleapis_gapic_generator_ruby(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "ruby" == guess_language(gh, "googleapis/gapic-generator-ruby") def test_guess_googleapis_gax_ruby(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "ruby" == guess_language(gh, "googleapis/gax-ruby") def test_guess_googleapis_google_api_ruby_client(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "ruby" == guess_language(gh, "googleapis/google-api-ruby-client") def test_guess_googleapis_google_auth_library_ruby(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "ruby" == guess_language(gh, "googleapis/google-auth-library-ruby") def test_guess_googleapis_google_cloud_ruby(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "ruby" == guess_language(gh, "googleapis/google-cloud-ruby") def test_guess_googleapis_ruby_spanner_activerecord(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "ruby" == guess_language(gh, "googleapis/ruby-spanner-activerecord") def test_guess_googleapis_ruby_style(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "ruby" == guess_language(gh, "googleapis/ruby-style") def test_guess_googleapis_signet(): gh = github.GitHub(os.environ["GITHUB_TOKEN"]) assert "ruby" == guess_language(gh, "googleapis/signet")

35.083512

88

0.749573

8,359

65,536

5.579376

0.043067

0.077834

0.107766

0.123161

0.919186

0.793023

0.70063

0.663064

0.64456

0.613448

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0.000277

0.117706

65,536

1,867

89

35.102303

0.806302

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0.322954

0

0.262478

0.161234

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1

0.320285

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0

0.006228

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0.327402

0.00089

0

null

0

1

0

1

0

null

0

1

0

5

ed3ac0ef62156fcc283dbd0cfd5dcd1737acefad

481

py

Python

src/model/loss/meanSquaredErrorLoss.py

dhruvtapasvi/implementation

964980f431517f4548a87172a05107cdf700fb84

[ "MIT" ]

1

2020-05-25T10:24:58.000Z

src/model/loss/meanSquaredErrorLoss.py

dhruvtapasvi/implementation

964980f431517f4548a87172a05107cdf700fb84

[ "MIT" ]

1

2017-12-18T02:16:44.000Z

src/model/loss/meanSquaredErrorLoss.py

dhruvtapasvi/implementation

964980f431517f4548a87172a05107cdf700fb84

[ "MIT" ]

null

import numpy as np from keras.metrics import mean_squared_error from keras.backend import mean, flatten def meanSquaredErrorLossConstructor(inputRepresentationDimensions): totalNumberOfPixels = np.prod(inputRepresentationDimensions) def meanSquaredErrorLoss(inputRepresentation, decodedInputRepresentation): return mean(totalNumberOfPixels * mean_squared_error(flatten(inputRepresentation), flatten(decodedInputRepresentation))) return meanSquaredErrorLoss

37

128

0.841996

40

481

10.025

0.525

0.044888

0.079801

0

0.108108

481

12

129

40.083333

0.934732

0

1

0.25

false

0

0.375

0.125

0.875

0

1

null

0

null

0

1

0

1

0

5

ed7854d2edcf05bffebe01376cae37ce5a50ef9a

202

py

Python

FbPy/config.py

voidabhi/python-scripts

a6d06bd3ccf4ec24df521a3cf305d22176f68a18

[ "MIT" ]

2

2015-06-01T18:33:38.000Z

2018-11-21T19:40:37.000Z

FbPy/config.py

voidabhi/python-scripts

a6d06bd3ccf4ec24df521a3cf305d22176f68a18

[ "MIT" ]

102

2015-01-20T17:26:52.000Z

2017-12-28T17:32:51.000Z

FbPy/config.py

voidabhi/python-scripts

a6d06bd3ccf4ec24df521a3cf305d22176f68a18

[ "MIT" ]

3

2020-03-02T06:54:18.000Z

2021-01-07T16:36:35.000Z

import ConfigParser config = ConfigParser.ConfigParser() config.read("settings.cfg") username = config.get("auth","username") password = config.get("auth","password") print username print password

22.444444

41

0.757426

23

202

6.652174

0.478261

0.235294

0.169935

0

0.10396

202

9

42

22.444444

0.845304

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0.178218

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null

0.285714

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null

1

0

1

0

null

0

1

0

1

0

5

71e848681a87e5d42914c71ec34509fb6c827458

2,695

py

Python

runtime/components/Time_length_operations/test_linear_interpolation_datetime_index.py

ulise/hetida-designer

a6be8eb45abf950d5498e3ca756ea1d2e46b5c00

[ "MIT" ]

41

2020-11-18T10:12:29.000Z

2022-03-28T21:46:41.000Z

runtime/components/Time_length_operations/test_linear_interpolation_datetime_index.py

ulise/hetida-designer

a6be8eb45abf950d5498e3ca756ea1d2e46b5c00

[ "MIT" ]

4

2020-12-08T15:28:15.000Z

2022-02-01T11:40:17.000Z

runtime/components/Time_length_operations/test_linear_interpolation_datetime_index.py

ulise/hetida-designer

a6be8eb45abf950d5498e3ca756ea1d2e46b5c00

[ "MIT" ]

14

2020-11-18T11:39:17.000Z

2022-03-21T15:05:11.000Z

import pandas as pd import numpy as np import pytest from .linear_interpolation_datetime_index import main def test_date(): pd.testing.assert_series_equal( main( data=pd.Series( { "2019-08-01T15:20:10": 0.0, "2019-08-01T15:20:11": 1.0, "2019-08-01T15:20:14": 18.0, "2019-08-01T15:20:16": 2.0, } ), t="s", )["interpolation"], pd.Series( [0.000, 1.000, 6.666, 12.333, 18.000, 10.000, 2.000], index=pd.to_datetime( [ "2019-08-01T15:20:10", "2019-08-01T15:20:11", "2019-08-01T15:20:12", "2019-08-01T15:20:13", "2019-08-01T15:20:14", "2019-08-01T15:20:15", "2019-08-01T15:20:16", ] ), ).asfreq("s"), atol=1e-3, ) def test_date_unsorted(): pd.testing.assert_series_equal( main( data=pd.Series( { "2019-08-01T15:20:10": 0.0, "2019-08-01T15:20:14": 18.0, "2019-08-01T15:20:16": 2.0, "2019-08-01T15:20:11": 1.0, } ), t="s", )["interpolation"], pd.Series( [0.000, 1.000, 6.666, 12.333, 18.000, 10.000, 2.000], index=pd.to_datetime( [ "2019-08-01T15:20:10", "2019-08-01T15:20:11", "2019-08-01T15:20:12", "2019-08-01T15:20:13", "2019-08-01T15:20:14", "2019-08-01T15:20:15", "2019-08-01T15:20:16", ] ), ).asfreq("s"), atol=1e-3, ) def test_series_empty(): assert main(data=pd.Series(dtype=float), t="h")["interpolation"].empty def test_index_string(): with pytest.raises(TypeError, match="indices of data must be datetime"): assert main( data=pd.Series( {"test": 0.3, "hello": 1.7, "2019-08-01T15:20:25.113Z": -0.3} ), t="d", ) def test_wrong_t(): with pytest.raises(ValueError, match="t could not be parsed as frequency: hello"): assert main( data=pd.Series( { "2019-08-01T15:20:00": 0.3, "2019-08-01T15:20:11": 1.7, "2019-08-01T15:20:25": -0.3, } ), t="hello", )

28.072917

86

0.407421

320

2,695

3.375

0.228125

0.144444

0.264815

0.312963

0.688889

0.642593

0.628704

0.597222

0.552778

0

0.307641

0.441558

2,695

95

87

28.368421

0.409967

0

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0

0.234224

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0

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0.059524

true

0

0.047619

0

0.107143

0

null

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1

0

1

0

1

0

null

0

1

0

5

71f40b9f067cd5d8127d7c80325413958a717a8f

188

py

Python

panoptic/panoptic/doctype/city/test_city.py

scmmishra/panoptic

bbb5b78aed9405afcb2b6e36a32d19b0dc4e8a6a

[ "MIT" ]

1

2020-11-25T07:56:43.000Z

panoptic/panoptic/doctype/city/test_city.py

scmmishra/panoptic

bbb5b78aed9405afcb2b6e36a32d19b0dc4e8a6a

[ "MIT" ]

null

panoptic/panoptic/doctype/city/test_city.py

scmmishra/panoptic

bbb5b78aed9405afcb2b6e36a32d19b0dc4e8a6a

[ "MIT" ]

1

2020-11-25T07:56:45.000Z

18.8

66

0.797872

23

188

6.521739

0.869565

0

0.024691

0.138298

188

9

67

20.888889

0.901235

0.5

0

1

0

true

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

5

9c2bb537299f5358ab3ec4ef9557c7596b13fc75

110

py

Python

comet/cmdline/__init__.py

dneise/Comet

abaa0da65d69f90a5262d81416477b4e71deb2ad

[ "BSD-2-Clause" ]

15

2015-11-29T18:53:58.000Z

2022-03-09T15:47:30.000Z

comet/cmdline/__init__.py

dneise/Comet

abaa0da65d69f90a5262d81416477b4e71deb2ad

[ "BSD-2-Clause" ]

29

2016-01-21T18:10:45.000Z

2021-10-01T16:41:12.000Z

comet/cmdline/__init__.py

dneise/Comet

abaa0da65d69f90a5262d81416477b4e71deb2ad

[ "BSD-2-Clause" ]

11

2016-01-22T14:05:51.000Z

2022-03-09T17:49:56.000Z

# Comet VOEvent Broker. # Utility classes for command line event sender. from comet.cmdline.options import *

22

48

0.781818

15

110

5.733333

0.933333

0

0.154545

110

4

49

27.5

0.924731

0.618182

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

9c38abe5561b3b105a7a08aa6725b41c3379f191

2,801

py

Python

tests/test_operators.py

Kuree/magma

be2439aa897768c5810be72e3a55a6f772ac83cf

[ "MIT" ]

null

tests/test_operators.py

Kuree/magma

be2439aa897768c5810be72e3a55a6f772ac83cf

[ "MIT" ]

null

tests/test_operators.py

Kuree/magma

be2439aa897768c5810be72e3a55a6f772ac83cf

[ "MIT" ]

null

import magma as m from magma.operators import MantleImportError from common import DeclareAnd import pytest from magma.testing import check_files_equal def test_error(): circ = m.DefineCircuit("test", "a", m.In(m.Bits[4]), "b", m.Out(m.Bits[4])) try: ~circ.a assert False, \ "Operator should throw an error since mantle is not imported" except MantleImportError: pass @pytest.mark.parametrize("width", [None, 3]) @pytest.mark.parametrize("output", ["verilog", "coreir"]) def test_assign(width, output): T = m.util.BitOrBits(width) name = f"test_assign_operator_{width}_{output}" circ = m.DefineCircuit(name, "a", m.In(T), "b", m.In(T), "c", m.Out(T)) and2 = DeclareAnd(width)() and2.I0 <= circ.a and2.I1 <= circ.b circ.c <= and2.O m.EndDefine() m.compile(f"build/{name}", circ, output) suffix = "v" if output == "verilog" else "json" assert check_files_equal(__file__, f"build/{name}.{suffix}", f"gold/{name}.{suffix}") @pytest.mark.parametrize("width", [None, 3]) @pytest.mark.parametrize("output", ["verilog", "coreir"]) def test_assign_to_var(width, output): T = m.util.BitOrBits(width) name = f"test_assign_operator2_{width}_{output}" circ = m.DefineCircuit(name, "a", m.In(T), "b", m.In(T), "c", m.Out(T)) and2 = DeclareAnd(width)() c, I0, I1 = and2.I0, and2.I1, circ.c I0 <= circ.a I1 <= circ.b c <= and2.O m.EndDefine() m.compile(f"build/{name}", circ, output) suffix = "v" if output == "verilog" else "json" assert check_files_equal(__file__, f"build/{name}.{suffix}", f"gold/{name}.{suffix}") @pytest.mark.parametrize("width", [None, 3]) def test_assign_error_0(width): T = m.util.BitOrBits(width) name = f"test_assign_operator_{width}" circ = m.DefineCircuit(name, "a", m.In(T), "b", m.In(T), "c", m.Out(T)) and2 = DeclareAnd(width)() try: and2.O <= circ.a assert False, "Should raise type error" except TypeError as e: assert str(e) == f"Cannot use <= to assign to output: {and2.O.debug_name} (trying to assign {circ.a.debug_name})" @pytest.mark.parametrize("width", [None, 3]) def test_assign_error_1(width): T = m.util.BitOrBits(width) name = f"test_assign_operator_{width}" circ = m.DefineCircuit(name, "a", m.In(T), "b", m.In(T), "c", m.Out(T)) and2 = DeclareAnd(width)() try: circ.a <= and2.O assert False, "Should raise type error" except TypeError as e: assert str(e) == f"Cannot use <= to assign to output: {circ.a.debug_name} (trying to assign {and2.O.debug_name})"

33.345238

121

0.594074

401

2,801

4.042394

0.204489

0.016656

0.019741

0.064158

0.742751

0.714374

0

0.014595

0.241699

2,801

83

122

33.746988

0.748588

0

0.585714

0

0.028571

0.224206

0.061764

0

0.1

1

0.071429

false

0.014286

0.1

0

0.171429

0

null

0

1

0

null

0

5

9c3db3f1ad101e216393b6b6998c1abb3af518cd

2,123

py

Python

custom_components/krisinfo/kriscom/kriscom.py

isabellaalstrom/Krisinformation_V3

3337977bede95867fef58eb7db53f1be2074bbe9

[ "MIT" ]

null

custom_components/krisinfo/kriscom/kriscom.py

isabellaalstrom/Krisinformation_V3

3337977bede95867fef58eb7db53f1be2074bbe9

[ "MIT" ]

1

2022-03-18T10:56:10.000Z

custom_components/krisinfo/kriscom/kriscom.py

isabellaalstrom/Krisinformation_V3

3337977bede95867fef58eb7db53f1be2074bbe9

[ "MIT" ]

null

import json import httpx import logging from .exceptions import * from .const import VERSION, DOMAIN, USER_AGENT, BASE_URL, NEWS_PARAMETER, VMAS_PARAMETER logger = logging.getLogger(DOMAIN) class kriscom(object): def __init__(self, timeout=None): self._timeout = timeout def version(self): return VERSION async def requestVmas(self): try: async with httpx.AsyncClient() as client: response = await client.get( BASE_URL + VMAS_PARAMETER, headers={"User-agent": USER_AGENT}, # allow_redirects=True, timeout=self._timeout, ) except Exception as e: error = HTTP_Error(997, f"A HTTP error occured: {str(e)}", str(e)) logger.debug(error) raise error try: response.encoding = "UTF-8" intermediateResponse = json.dumps(response.json()) jsonResponse = json.loads(intermediateResponse) except Exception as e: error = API_Error(995, f"A parsing error occured: {str(e)}", str(e)) logger.debug(error) raise error return jsonResponse async def requestNews(self): try: async with httpx.AsyncClient() as client: response = await client.get( BASE_URL + NEWS_PARAMETER, headers={"User-agent": USER_AGENT}, # allow_redirects=True, timeout=self._timeout, ) except Exception as e: error = HTTP_Error(997, f"A HTTP error occured: {str(e)}", str(e)) logger.debug(error) raise error try: response.encoding = "UTF-8" intermediateResponse = json.dumps(response.json()) jsonResponse = json.loads(intermediateResponse) except Exception as e: error = API_Error(995, f"A parsing error occured: {str(e)}", str(e)) logger.debug(error) raise error return jsonResponse

31.220588

88

0.556759

222

2,123

5.220721

0.288288

0.02761

0.058671

0.062123

0.755824

0

0.010226

0.355158

2,123

68

89

31.220588

0.836377

0.020254

0

0.679245

0

0.075072

0

1

0.037736

false

0

0.09434

0.018868

0.207547

0

null

0

1

0

null

0

5

9c47bc909cd237b4811365c91afcadaad57d3177

77

py

Python

BanditSim/update_rules/constant_update.py

AJB0211/BanditSim

5426486b40c35492049b09f9b57eb18ad5d6ce63

[ "MIT" ]

null

BanditSim/update_rules/constant_update.py

AJB0211/BanditSim

5426486b40c35492049b09f9b57eb18ad5d6ce63

[ "MIT" ]

null

BanditSim/update_rules/constant_update.py

AJB0211/BanditSim

5426486b40c35492049b09f9b57eb18ad5d6ce63

[ "MIT" ]

null

def constant_update_rule(self, q, r, a): return q + self.alpha * (r - q)

25.666667

40

0.623377

14

77

3.285714

0.714286

0

0.220779

77

2

41

38.5

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1

0.5

false

0

0.5

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null

0

1

0

null

0

1

0

1

0

5

9c652e6a9a6156d948a087584aaa849a164c5ce1

3,072

py

Python

setup.py

IloveKanade/k3redisutil

cd564ee8efec7fadd7d19412916dcb9538145fa0

[ "MIT" ]

null

setup.py

IloveKanade/k3redisutil

cd564ee8efec7fadd7d19412916dcb9538145fa0

[ "MIT" ]

2

2021-11-11T06:21:22.000Z

2022-03-23T07:02:22.000Z

setup.py

IloveKanade/k3redisutil

cd564ee8efec7fadd7d19412916dcb9538145fa0

[ "MIT" ]

null

# DO NOT EDIT!!! built with `python _building/build_setup.py` import setuptools setuptools.setup( name="k3redisutil", packages=["k3redisutil"], version="0.1.0", license='MIT', description='For using redis more easily.', long_description='# k3redisutil\n\n[![Action-CI](https://github.com/pykit3/k3redisutil/actions/workflows/python-package.yml/badge.svg)](https://github.com/pykit3/k3redisutil/actions/workflows/python-package.yml)\n[![Build Status](https://travis-ci.com/pykit3/k3redisutil.svg?branch=master)](https://travis-ci.com/pykit3/k3redisutil)\n[![Documentation Status](https://readthedocs.org/projects/k3redisutil/badge/?version=stable)](https://k3redisutil.readthedocs.io/en/stable/?badge=stable)\n[![Package](https://img.shields.io/pypi/pyversions/k3redisutil)](https://pypi.org/project/k3redisutil)\n\nFor using redis more easily.\n\nk3redisutil is a component of [pykit3] project: a python3 toolkit set.\n\n\nFor using redis more easily.\n\n\n\n# Install\n\n```\npip install k3redisutil\n```\n\n# Synopsis\n\n```python\n\nimport k3redisutil\nimport time\n\n# Using redis as a duplex cross process communication channel pool.\n\n# client and server with the same channel name "/foo" is a pair\nc = k3redisutil.RedisChannel(6379, \'/foo\', \'client\')\ns = k3redisutil.RedisChannel(6379, \'/foo\', \'server\')\n\nc.send_msg(\'c2s\')\ns.send_msg(\'s2c\')\n\n# list channels\nprint(c.list_channel(\'/\')) # ["/foo"]\nprint(s.recv_msg()) # c2s\nprint(c.recv_msg()) # s2c\n\ncli = k3redisutil.RedisProxyClient([(\'127.0.0.1\', 2222), (\'192.168.0.100\', 222)])\n\ncli.set(\'k1\', \'v1\', retry=1)\ncli.set(\'k2\', \'v2\', expire=1000) # msec\n\nprint(cli.get(\'k1\', retry=2))\n# out: \'v1\'\n\nprint(cli.get(\'k2\'))\n# out: \'v2\'\n\ntime.sleep(1)\ncli.get(\'k2\')\n# raise a \'redisutil.KeyNotFoundError\' because it is timeout\n\ncli.hset(\'hashname1\', \'k3\', \'v3\')\ncli.hset(\'hashname2\', \'k4\', \'v4\', expire=1000)\n\nprint(cli.hget(\'hashname1\', \'k3\'))\n# out: \'v3\'\n\nprint(cli.hget(\'hashname2\', \'k4\'))\n# out: \'v4\'\n\ntime.sleep(1)\ncli.hget(\'hashname2\', \'k4\')\n# raise a \'redisutil.KeyNotFoundError\' because it is timeout\n\n```\n\n# Author\n\nZhang Yanpo (张炎泼) <drdr.xp@gmail.com>\n\n# Copyright and License\n\nThe MIT License (MIT)\n\nCopyright (c) 2015 Zhang Yanpo (张炎泼) <drdr.xp@gmail.com>\n\n\n[pykit3]: https://github.com/pykit3', long_description_content_type="text/markdown", author='Zhang Yanpo', author_email='drdr.xp@gmail.com', url='https://github.com/pykit3/k3redisutil', keywords=['python', 'redis'], python_requires='>=3.0', install_requires=['k3ut<0.2,>=0.1.15', 'k3awssign<0.2,>=0.1.0', 'k3thread<0.2,>=0.1.0', 'k3utfjson<0.2,>=0.1.1', 'k3confloader<0.2,>=0.1.1', 'k3utdocker<0.2,>=0.1.0', 'k3http<0.2,>=0.1.0', 'redis>=3.5.0', 'mock>=4.0.0'], classifiers=[ 'Development Status :: 4 - Beta', 'Intended Audience :: Developers', 'Topic :: Software Development :: Libraries', ] + ['Programming Language :: Python :: 3'], )

128

2,170

0.672526

471

3,072

4.356688

0.375796

0.017544

0.010234

0.013645

0.237329

0.192008

0.159844

0.134503

0.111111

0

0.056252

0.091471

3,072

23

2,171

133.565217

0.678968

0.019206

0

1

0.142857

0.769844

0.176021

0

1

0

true

0

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0.047619

0

null

0

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0

1

0

1

0

null

0

1

0

5

92f5cb55153b0f9e7ad42c1d07f36f52569f26ba

232

py

Python

level00.py

Vinay26k/pythonchallenge

91ae7b85b8efe551818d6b8a483a849302fc0c85

[ "Apache-2.0" ]

3

2019-02-22T12:57:15.000Z

2021-08-07T16:27:47.000Z

level00.py

Vinay26k/pythonchallenge

91ae7b85b8efe551818d6b8a483a849302fc0c85

[ "Apache-2.0" ]

null

level00.py

Vinay26k/pythonchallenge

91ae7b85b8efe551818d6b8a483a849302fc0c85

[ "Apache-2.0" ]

2

2019-04-27T06:02:12.000Z

2020-12-16T14:50:41.000Z

#! python 2 #https://github.com/Vinay26k/pythonchallenge ''' Given http://www.pythonchallenge.com/pc/def/0.html Hint : Change Url display : 2^38 ''' print r'http://www.pythonchallenge.com/pc/def/{0}.html'.format(2**38)

19.333333

70

0.676724

35

232

4.485714

0.628571

0.089172

0.280255

0.318471

0.44586

0

0.054455

0.12931

232

11

71

21.090909

0.722772

0.228448

0

0.613333

0

null

0

null

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

130733a5a177f8c659de190e69e282cb77c9dc95

91

py

Python

haystackbrowser/__init__.py

jayvdb/django-haystackbrowser

255baf25a4cb97262ec8373c2e4fa4bb0134fda7

[ "BSD-2-Clause-FreeBSD" ]

22

2015-01-11T12:44:57.000Z

2021-02-11T15:23:24.000Z

haystackbrowser/__init__.py

jayvdb/django-haystackbrowser

255baf25a4cb97262ec8373c2e4fa4bb0134fda7

[ "BSD-2-Clause-FreeBSD" ]

12

2015-03-13T19:31:52.000Z

2020-06-17T06:10:15.000Z

haystackbrowser/__init__.py

jayvdb/django-haystackbrowser

255baf25a4cb97262ec8373c2e4fa4bb0134fda7

[ "BSD-2-Clause-FreeBSD" ]

11

2015-09-24T10:42:09.000Z

2020-07-02T04:26:03.000Z

# -*- coding: utf-8 -*- __version_info__ = '0.6.3' __version__ = '0.6.3' version = '0.6.3'

18.2

26

0.582418

16

91

2.75

0.5

0.136364

0.204545

0.454545

0.522727

0

0.12987

0.153846

91

4

27

22.75

0.441558

0.230769

0

0.220588

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

null

0

5

132da3ba1536a54c73f36e5195bc88e34a322477

53

py

Python

monitor/__init__.py

garagonc/optimization-framework

1ca57699d6a3f2f98dcaea96430e75c3f847b49f

[ "Apache-2.0" ]

null

monitor/__init__.py

garagonc/optimization-framework

1ca57699d6a3f2f98dcaea96430e75c3f847b49f

[ "Apache-2.0" ]

null

monitor/__init__.py

garagonc/optimization-framework

1ca57699d6a3f2f98dcaea96430e75c3f847b49f

[ "Apache-2.0" ]

null

""" Created on Jan 28 16:58 2020 @author: nishit """

10.6

28

0.641509

9

53

3.777778

1

0

0.232558

0.188679

53

5

29

10.6

0.55814

0.849057

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

1

0

null

0

1

0

5

13329ebda51941e6ba4ebd549892f776b853502b

25,757

py

Python

store_backend/pipelines/tests/test_views.py

EUGINELETHAL/ChRIS_store

b842dbfa80f29f86468fe0ebd3514aaac4898717

[ "MIT" ]

11

2018-03-23T19:27:10.000Z

2021-04-30T16:40:04.000Z

store_backend/pipelines/tests/test_views.py

EUGINELETHAL/ChRIS_store

b842dbfa80f29f86468fe0ebd3514aaac4898717

[ "MIT" ]

46

2018-05-21T14:54:43.000Z

2022-01-28T01:37:57.000Z

store_backend/pipelines/tests/test_views.py

EUGINELETHAL/ChRIS_store

b842dbfa80f29f86468fe0ebd3514aaac4898717

[ "MIT" ]

11

2018-03-28T04:37:25.000Z

2021-05-28T06:40:30.000Z

import logging import json from django.test import TestCase from django.urls import reverse from django.contrib.auth.models import User from rest_framework import status from plugins.models import PluginMeta, Plugin from plugins.models import PluginParameter from plugins.models import DefaultStrParameter, DefaultBoolParameter from plugins.models import DefaultFloatParameter, DefaultIntParameter from pipelines.models import Pipeline, PluginPiping class ViewTests(TestCase): def setUp(self): # avoid cluttered console output (for instance logging all the http requests) logging.disable(logging.WARNING) self.content_type = 'application/vnd.collection+json' self.plugin_ds_name = "simpledsapp" self.plugin_ds_parameters = {'dummyInt': {'type': 'integer', 'optional': True, 'default': 111111}} self.username = 'foo' self.password = 'foo-pass' # create plugin (meta, tf) = PluginMeta.objects.get_or_create(name=self.plugin_ds_name, type='ds') (plugin_ds, tf) = Plugin.objects.get_or_create(meta=meta) # add a parameter with a default (plg_param_ds, tf)= PluginParameter.objects.get_or_create( plugin=plugin_ds, name='dummyInt', type=self.plugin_ds_parameters['dummyInt']['type'], optional=self.plugin_ds_parameters['dummyInt']['optional'] ) default = self.plugin_ds_parameters['dummyInt']['default'] DefaultIntParameter.objects.get_or_create(plugin_param=plg_param_ds, value=default) # set plugin parameter default # create user user = User.objects.create_user(username=self.username, password=self.password) # create a pipeline self.pipeline_name = 'Pipeline1' (pipeline, tf) = Pipeline.objects.get_or_create(name=self.pipeline_name, owner=user, category='test') # create two plugin pipings self.pips = [] (pip, tf) = PluginPiping.objects.get_or_create(plugin=plugin_ds, pipeline=pipeline) self.pips.append(pip) (pip, tf) = PluginPiping.objects.get_or_create(plugin=plugin_ds, previous=pip, pipeline=pipeline) self.pips.append(pip) # create another user self.other_username = 'boo' self.other_password = 'far' User.objects.create_user(username=self.other_username, password=self.other_password) def tearDown(self): # re-enable logging logging.disable(logging.NOTSET) class PipelineViewTests(ViewTests): """ Generic tests for pipeline views. """ def setUp(self): super(PipelineViewTests, self).setUp() class PipelineListViewTests(PipelineViewTests): """ Test the pipeline-list view. """ def setUp(self): super(PipelineListViewTests, self).setUp() self.create_read_url = reverse("pipeline-list") def test_pipeline_create_success(self): (meta, tf) = PluginMeta.objects.get_or_create(name='mri_convert', type='ds') (plugin_ds1, tf) = Plugin.objects.get_or_create(meta=meta) (meta, tf) = PluginMeta.objects.get_or_create(name='mri_analyze', type='ds') (plugin_ds2, tf) = Plugin.objects.get_or_create(meta=meta) plugin_tree = '[{"plugin_id": ' + str(plugin_ds1.id) + \ ', "previous_index": null}, {"plugin_id": ' + \ str(plugin_ds2.id) + ', "previous_index": 0}]' post = json.dumps( {"template": {"data": [{"name": "name", "value": "Pipeline2"}, {"name": "plugin_tree", "value": plugin_tree}]}}) # make API request self.client.login(username=self.username, password=self.password) response = self.client.post(self.create_read_url, data=post, content_type=self.content_type) self.assertEqual(response.status_code, status.HTTP_201_CREATED) def test_pipeline_list_success(self): self.client.login(username=self.username, password=self.password) response = self.client.get(self.create_read_url) self.assertContains(response, "Pipeline1") class PipelineListQuerySearchViewTests(PipelineViewTests): """ Test the pipeline-list-query-search view. """ def setUp(self): super(PipelineListQuerySearchViewTests, self).setUp() self.list_url = reverse("pipeline-list-query-search") + '?name=Pipeline1' def test_pipeline_list_query_search_success(self): owner = User.objects.get(username=self.username) Pipeline.objects.get_or_create(name='Pipeline2', owner=owner, category='test') self.client.login(username=self.username, password=self.password) response = self.client.get(self.list_url) self.assertContains(response, "Pipeline1") self.assertNotContains(response, "Pipeline2") list_url = reverse("pipeline-list-query-search") + '?category=test' response = self.client.get(list_url) self.assertContains(response, "Pipeline1") self.assertContains(response, "Pipeline2") class PipelineDetailViewTests(PipelineViewTests): """ Test the pipeline-detail view. """ def setUp(self): super(PipelineDetailViewTests, self).setUp() pipeline = Pipeline.objects.get(name="Pipeline1") self.read_update_delete_url = reverse("pipeline-detail", kwargs={"pk": pipeline.id}) self.put = json.dumps( {"template": {"data": [{"name": "name", "value": "Pipeline2"}]}}) def test_pipeline_detail_success(self): self.client.login(username=self.username, password=self.password) response = self.client.get(self.read_update_delete_url) self.assertContains(response, "Pipeline1") def test_pipeline_detail_failure_unauthenticated(self): response = self.client.get(self.read_update_delete_url) self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED) def test_pipeline_update_success(self): self.client.login(username=self.username, password=self.password) response = self.client.put(self.read_update_delete_url, data=self.put, content_type=self.content_type) self.assertContains(response, "Pipeline2") def test_pipeline_update_failure_unauthenticated(self): response = self.client.put(self.read_update_delete_url, data=self.put, content_type=self.content_type) self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED) def test_pipeline_update_failure_access_denied(self): self.client.login(username=self.other_username, password=self.other_password) response = self.client.put(self.read_update_delete_url, data=self.put, content_type=self.content_type) self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN) def test_pipeline_delete_success(self): self.client.login(username=self.username, password=self.password) response = self.client.delete(self.read_update_delete_url) self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT) self.assertEqual(Pipeline.objects.count(), 0) def test_pipeline_delete_failure_unauthenticated(self): response = self.client.delete(self.read_update_delete_url) self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED) def test_pipeline_delete_failure_access_denied(self): self.client.login(username=self.other_username, password=self.other_password) response = self.client.delete(self.read_update_delete_url) self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN) class PipelinePluginListViewTests(PipelineViewTests): """ Test the pipeline-plugin-list view. """ def setUp(self): super(PipelinePluginListViewTests, self).setUp() self.pipeline = Pipeline.objects.get(name="Pipeline1") self.list_url = reverse("pipeline-plugin-list", kwargs={"pk": self.pipeline.id}) def test_pipeline_plugin_list_success(self): # create plugins (meta, tf) = PluginMeta.objects.get_or_create(name='mri_convert', type='ds') (plugin_ds1, tf) = Plugin.objects.get_or_create(meta=meta) (meta, tf) = PluginMeta.objects.get_or_create(name='mri_analyze', type='ds') Plugin.objects.get_or_create(meta=meta) # pipe one plugin into pipeline PluginPiping.objects.get_or_create(pipeline=self.pipeline, plugin=plugin_ds1, previous=None) self.client.login(username=self.username, password=self.password) response = self.client.get(self.list_url) self.assertContains(response, "mri_convert") self.assertNotContains(response, "mri_analyze") # plugin list is pipe-specific def test_pipeline_plugin_list_failure_unauthenticated(self): response = self.client.get(self.list_url) self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED) class PipelinePluginPipingListViewTests(PipelineViewTests): """ Test the pipeline-pluginpiping-list view. """ def setUp(self): super(PipelinePluginPipingListViewTests, self).setUp() self.pipeline = Pipeline.objects.get(name="Pipeline1") self.list_url = reverse("pipeline-pluginpiping-list", kwargs={"pk": self.pipeline.id}) def test_pipeline_plugin_piping_list_success(self): # create plugins (meta, tf) = PluginMeta.objects.get_or_create(name='mri_convert', type='ds') (plugin_ds, tf) = Plugin.objects.get_or_create(meta=meta) # pipe one plugin into pipeline PluginPiping.objects.get_or_create(pipeline=self.pipeline, plugin=plugin_ds, previous=None) self.client.login(username=self.username, password=self.password) response = self.client.get(self.list_url) self.assertContains(response, "plugin_id") def test_pipeline_plugin_piping_list_failure_unauthenticated(self): response = self.client.get(self.list_url) self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED) class PipelineDefaultParameterListViewTests(PipelineViewTests): """ Test the pipeline-defaultparameter-list view. """ def setUp(self): super(PipelineDefaultParameterListViewTests, self).setUp() self.pipeline = Pipeline.objects.get(name="Pipeline1") self.list_url = reverse("pipeline-defaultparameter-list", kwargs={"pk": self.pipeline.id}) def test_pipeline_default_parameter_list_success(self): plugin_ds = Plugin.objects.get(meta__name=self.plugin_ds_name) param = plugin_ds.parameters.get(name='dummyInt') self.client.login(username=self.username, password=self.password) response = self.client.get(self.list_url) self.assertContains(response, self.pips[0].id) self.assertContains(response, self.pips[1].id) self.assertContains(response, param.name) self.assertContains(response, plugin_ds.meta.name) self.assertContains(response, 111111) def test_pipeline_default_parameter_list_failure_unauthenticated(self): response = self.client.get(self.list_url) self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED) class PluginPipingDetailViewTests(PipelineViewTests): """ Test the pluginpiping-detail view. """ def setUp(self): super(PluginPipingDetailViewTests, self).setUp() self.read_url = reverse("pluginpiping-detail", kwargs={"pk": self.pips[0].id}) def test_plugin_piping_detail_success(self): self.client.login(username=self.username, password=self.password) response = self.client.get(self.read_url) self.assertContains(response, "plugin_id") self.assertContains(response, "pipeline_id") def test_plugin_piping_detail_failure_unauthenticated(self): response = self.client.get(self.read_url) self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED) class DefaultPipingStrParameterDetailViewTests(ViewTests): """ Test the defaultpipingstrparameter-detail view. """ def setUp(self): super(DefaultPipingStrParameterDetailViewTests, self).setUp() plugin_ds = Plugin.objects.get(meta__name=self.plugin_ds_name) # add a parameter with a default (plg_param_ds, tf)= PluginParameter.objects.get_or_create( plugin=plugin_ds, name='dummyStr', type='string', optional=True ) DefaultStrParameter.objects.get_or_create(plugin_param=plg_param_ds, value='test') # set plugin parameter default pipeline = Pipeline.objects.get(name="Pipeline1") (pip, tf) = PluginPiping.objects.get_or_create(plugin=plugin_ds, pipeline=pipeline, previous=self.pips[1]) default_param = pip.string_param.get(plugin_piping=pip) self.read_update_url = reverse("defaultpipingstrparameter-detail", kwargs={"pk": default_param.id}) self.put = json.dumps({ "template": {"data": [{"name": "value", "value": "updated"}]}}) def test_default_piping_str_parameter_detail_success_owner(self): self.client.login(username=self.username, password=self.password) response = self.client.get(self.read_update_url) self.assertContains(response, "test") #self.assertTrue(response.data["feed"].endswith(self.corresponding_feed_url)) def test_default_piping_str_parameter_detail_failure_access_denied_pipeline_locked(self): self.client.login(username=self.other_username, password=self.other_password) response = self.client.get(self.read_update_url) self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN) def test_default_piping_str_parameter_detail_success_pipeline_unlocked(self): pipeline = Pipeline.objects.get(name="Pipeline1") pipeline.locked = False pipeline.save() self.client.login(username=self.other_username, password=self.other_password) response = self.client.get(self.read_update_url) self.assertContains(response, "test") def test_default_piping_str_parameter_detail_failure_unauthenticated(self): response = self.client.get(self.read_update_url) self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED) def test_default_piping_str_parameter_update_success(self): self.client.login(username=self.username, password=self.password) response = self.client.put(self.read_update_url, data=self.put, content_type=self.content_type) self.assertContains(response, "updated") def test_default_piping_str_parameter_update_failure_unauthenticated(self): response = self.client.put(self.read_update_url, data=self.put, content_type=self.content_type) self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED) def test_default_piping_str_parameter_update_failure_access_denied(self): self.client.login(username=self.other_username, password=self.other_password) response = self.client.put(self.read_update_url, data=self.put, content_type=self.content_type) self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN) class DefaultPipingIntParameterDetailViewTests(ViewTests): """ Test the defaultpipingintparameter-detail view. """ def setUp(self): super(DefaultPipingIntParameterDetailViewTests, self).setUp() plugin_ds = Plugin.objects.get(meta__name=self.plugin_ds_name) pipeline = Pipeline.objects.get(name="Pipeline1") (pip, tf) = PluginPiping.objects.get_or_create(plugin=plugin_ds, pipeline=pipeline, previous=self.pips[1]) default_param = pip.integer_param.get(plugin_piping=pip) self.read_update_url = reverse("defaultpipingintparameter-detail", kwargs={"pk": default_param.id}) self.put = json.dumps({ "template": {"data": [{"name": "value", "value": 222222}]}}) def test_default_piping_int_parameter_detail_success_owner(self): self.client.login(username=self.username, password=self.password) response = self.client.get(self.read_update_url) self.assertContains(response, 111111) def test_default_piping_int_parameter_detail_failure_access_denied_pipeline_locked(self): self.client.login(username=self.other_username, password=self.other_password) response = self.client.get(self.read_update_url) self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN) def test_default_piping_int_parameter_detail_success_pipeline_unlocked(self): pipeline = Pipeline.objects.get(name="Pipeline1") pipeline.locked = False pipeline.save() self.client.login(username=self.other_username, password=self.other_password) response = self.client.get(self.read_update_url) self.assertContains(response, 111111) def test_default_piping_int_parameter_detail_failure_unauthenticated(self): response = self.client.get(self.read_update_url) self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED) def test_default_piping_int_parameter_update_success(self): self.client.login(username=self.username, password=self.password) response = self.client.put(self.read_update_url, data=self.put, content_type=self.content_type) self.assertContains(response, 222222) def test_default_piping_int_parameter_update_failure_unauthenticated(self): response = self.client.put(self.read_update_url, data=self.put, content_type=self.content_type) self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED) def test_default_piping_int_parameter_update_failure_access_denied(self): self.client.login(username=self.other_username, password=self.other_password) response = self.client.put(self.read_update_url, data=self.put, content_type=self.content_type) self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN) class DefaultPipingFloatParameterDetailViewTests(ViewTests): """ Test the defaultpipingfloatparameter-detail view. """ def setUp(self): super(DefaultPipingFloatParameterDetailViewTests, self).setUp() plugin_ds = Plugin.objects.get(meta__name=self.plugin_ds_name) # add a parameter with a default (plg_param_ds, tf)= PluginParameter.objects.get_or_create( plugin=plugin_ds, name='dummyFloat', type='float', optional=True ) DefaultFloatParameter.objects.get_or_create(plugin_param=plg_param_ds, value=1.11111) # set plugin parameter default pipeline = Pipeline.objects.get(name="Pipeline1") (pip, tf) = PluginPiping.objects.get_or_create(plugin=plugin_ds, pipeline=pipeline, previous=self.pips[1]) default_param = pip.float_param.get(plugin_piping=pip) self.read_update_url = reverse("defaultpipingfloatparameter-detail", kwargs={"pk": default_param.id}) self.put = json.dumps({ "template": {"data": [{"name": "value", "value": 1.22222}]}}) def test_default_piping_float_parameter_detail_success_owner(self): self.client.login(username=self.username, password=self.password) response = self.client.get(self.read_update_url) self.assertContains(response, 1.11111) def test_default_piping_float_parameter_detail_failure_access_denied_pipeline_locked(self): self.client.login(username=self.other_username, password=self.other_password) response = self.client.get(self.read_update_url) self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN) def test_default_piping_float_parameter_detail_success_pipeline_unlocked(self): pipeline = Pipeline.objects.get(name="Pipeline1") pipeline.locked = False pipeline.save() self.client.login(username=self.other_username, password=self.other_password) response = self.client.get(self.read_update_url) self.assertContains(response, 1.11111) def test_default_piping_float_parameter_detail_failure_unauthenticated(self): response = self.client.get(self.read_update_url) self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED) def test_default_piping_float_parameter_update_success(self): self.client.login(username=self.username, password=self.password) response = self.client.put(self.read_update_url, data=self.put, content_type=self.content_type) self.assertContains(response, 1.22222) def test_default_piping_float_parameter_update_failure_unauthenticated(self): response = self.client.put(self.read_update_url, data=self.put, content_type=self.content_type) self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED) def test_default_piping_float_parameter_update_failure_access_denied(self): self.client.login(username=self.other_username, password=self.other_password) response = self.client.put(self.read_update_url, data=self.put, content_type=self.content_type) self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN) class DefaultPipingBoolParameterDetailViewTests(ViewTests): """ Test the defaultpipingboolparameter-detail view. """ def setUp(self): super(DefaultPipingBoolParameterDetailViewTests, self).setUp() plugin_ds = Plugin.objects.get(meta__name=self.plugin_ds_name) # add a parameter with a default (plg_param_ds, tf)= PluginParameter.objects.get_or_create( plugin=plugin_ds, name='dummyBool', type='boolean', optional=True ) DefaultBoolParameter.objects.get_or_create(plugin_param=plg_param_ds, value=False) # set plugin parameter default pipeline = Pipeline.objects.get(name="Pipeline1") (pip, tf) = PluginPiping.objects.get_or_create(plugin=plugin_ds, pipeline=pipeline, previous=self.pips[1]) default_param = pip.boolean_param.get(plugin_piping=pip) self.read_update_url = reverse("defaultpipingboolparameter-detail", kwargs={"pk": default_param.id}) self.put = json.dumps({ "template": {"data": [{"name": "value", "value": "true"}]}}) def test_default_piping_bool_parameter_detail_success_owner(self): self.client.login(username=self.username, password=self.password) response = self.client.get(self.read_update_url) self.assertContains(response, "false") def test_default_piping_bool_parameter_detail_failure_access_denied_pipeline_locked(self): self.client.login(username=self.other_username, password=self.other_password) response = self.client.get(self.read_update_url) self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN) def test_default_piping_bool_parameter_detail_success_pipeline_unlocked(self): pipeline = Pipeline.objects.get(name="Pipeline1") pipeline.locked = False pipeline.save() self.client.login(username=self.other_username, password=self.other_password) response = self.client.get(self.read_update_url) self.assertContains(response, "false") def test_default_piping_bool_parameter_detail_failure_unauthenticated(self): response = self.client.get(self.read_update_url) self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED) def test_default_piping_bool_parameter_update_success(self): self.client.login(username=self.username, password=self.password) response = self.client.put(self.read_update_url, data=self.put, content_type=self.content_type) self.assertContains(response, "true") def test_default_piping_bool_parameter_update_failure_unauthenticated(self): response = self.client.put(self.read_update_url, data=self.put, content_type=self.content_type) self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED) def test_default_piping_bool_parameter_update_failure_access_denied(self): self.client.login(username=self.other_username, password=self.other_password) response = self.client.put(self.read_update_url, data=self.put, content_type=self.content_type) self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)

46.576854

109

0.685018

2,906

25,757

5.819683

0.067103

0.047304

0.051088

0.043519

0.788316

0.766911

0.724515

0.710028

0.681232

0.678808

0

0.009209

0.215864

25,757

552

110

46.661232

0.828143

0.043716

0

0.544529

0

0.048305

0.011053

0

0.145038

1

0.155216

false

0.091603

0.02799

0

0.216285

0

null

0

1

0

1

0

null

0

1

0

5

13364652ee0b561abe5858d0ac8374debbaafa9d

113

py

Python

blocksmith/__init__.py

plattthompson/generate-btc-wallet

8571447871edb691fcbac294bdbd93d23cec8fbc

[ "Apache-2.0" ]

1

2022-01-14T14:31:34.000Z

blocksmith/__init__.py

plattthompson/generate-btc-wallet

8571447871edb691fcbac294bdbd93d23cec8fbc

[ "Apache-2.0" ]

null

blocksmith/__init__.py

plattthompson/generate-btc-wallet

8571447871edb691fcbac294bdbd93d23cec8fbc

[ "Apache-2.0" ]

null

from .generator import KeyGenerator from .bitcoin import BitcoinWallet # from .ethereum import EthereumWallet

28.25

39

0.823009

12

113

7.75

0.666667

0

0.141593

113

3

40

37.666667

0.958763

0.318584

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

1384ccc27707cc2808b118477a9843163bdcdd0b

83

py

Python

call-workflow.py

humberry/Workflow

6c1480c7d7a0949ae090d378ec5518ac13450a4a

[ "MIT" ]

6

2015-02-28T21:35:01.000Z

2019-04-02T04:48:46.000Z

call-workflow.py

humberry/Workflow

6c1480c7d7a0949ae090d378ec5518ac13450a4a

[ "MIT" ]

null

call-workflow.py

humberry/Workflow

6c1480c7d7a0949ae090d378ec5518ac13450a4a

[ "MIT" ]

6

2015-05-11T02:13:53.000Z

2020-10-03T23:11:11.000Z

import webbrowser webbrowser.open('workflow://run-workflow?name=workflow-script')

20.75

63

0.807229

10

83

6.7

0.7

0

0.048193

83

3

64

27.666667

0.848101

0

0.53012

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

1

null

0

1

0

1

0

5

139941f7b01a14259d2d33764e3d23c02a49c1d6

909

py

Python

metric/db/errors.py

kzulfazriawan/metric

a9a9ddc284a12618a93febe238f12a71f95dd9f1

[ "MIT" ]

1

2020-12-21T06:52:29.000Z

metric/db/errors.py

kzulfazriawan/metric

a9a9ddc284a12618a93febe238f12a71f95dd9f1

[ "MIT" ]

null

metric/db/errors.py

kzulfazriawan/metric

a9a9ddc284a12618a93febe238f12a71f95dd9f1

[ "MIT" ]

null

class BaseError(Exception): pass class AddQueryInvalid(Exception): def __init__(self, exception, message="Parameter Add condition is invalid"): self.message = message self.exception = exception super().__init__(self.message) def __str__(self): return f'{self.message}: {self.exception}' class DataValueInvalid(BaseError): def __init__(self, exception, message="Invalid value data given"): self.message = message self.exception = exception super().__init__(self.message) def __str__(self): return f'{self.message}: {self.exception}' class NoneTypeValue(BaseError): def __init__(self, exception, message="The value is empty or none"): self.message = message self.exception = exception super().__init__(self.message) def __str__(self): return f'{self.message}: {self.exception}'

27.545455

80

0.665567

100

909

5.69

0.27

0.205624

0.210896

0.105448

0.724077

0.676626

0.550088

0

0.222222

909

32

81

28.40625

0.804809

0

0.652174

0

0.19802

0

1

0.26087

false

0.043478

0

0.130435

0.565217

0

null

1

0

null

0

1

0

1

0

5

139f6488af2ad0d39171a352763e4a963d886161

79

py

Python

app/widget/__init__.py

HansBug/pyqt5-demo

df10ba54209bcf993d5dab8d969ab63d7a0acc90

[ "Apache-2.0" ]

null

app/widget/__init__.py

HansBug/pyqt5-demo

df10ba54209bcf993d5dab8d969ab63d7a0acc90

[ "Apache-2.0" ]

null

app/widget/__init__.py

HansBug/pyqt5-demo

df10ba54209bcf993d5dab8d969ab63d7a0acc90

[ "Apache-2.0" ]

null

from .dialog_config import DialogConfig from .main_window import AppMainWindow

26.333333

39

0.873418

10

79

6.7

0.8

0

0.101266

79

2

40

39.5

0.943662

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

13a4b8a7a15255c7da7e019923950de8a4e1ce66

101

py

Python

openpype/hosts/blender/blender_addon/startup/init.py

Tilix4/OpenPype

8909bd890170880aa7ec8b673abaa25a9bdf40f2

[ "MIT" ]

1

2022-02-08T15:40:41.000Z

openpype/hosts/blender/blender_addon/startup/init.py

zafrs/OpenPype

4b8e7e1ed002fc55b31307efdea70b0feaed474f

[ "MIT" ]

2

2022-03-18T01:46:03.000Z

2022-03-18T01:46:16.000Z

openpype/hosts/blender/blender_addon/startup/init.py

zafrs/OpenPype

4b8e7e1ed002fc55b31307efdea70b0feaed474f

[ "MIT" ]

null

from openpype.pipeline import install_host from openpype.hosts.blender import api install_host(api)

20.2

42

0.851485

15

101

5.6

0.6

0.285714

0

0.09901

101

4

43

25.25

0.923077

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

13a6760973cd06a6796bfac7d38c820f092e16b5

11,029

py

Python

template/<project_name>/tests/unit/api/middleware/test_faults.py

hahaps/openstack-project-generator

646b7b9372082b409e39863bb6604656ade4f44d

[ "Apache-2.0" ]

3

2016-08-29T10:25:07.000Z

2020-06-03T12:10:32.000Z

template/<project_name>/tests/unit/api/middleware/test_faults.py

hahaps/openstack-project-generator

646b7b9372082b409e39863bb6604656ade4f44d

[ "Apache-2.0" ]

null

template/<project_name>/tests/unit/api/middleware/test_faults.py

hahaps/openstack-project-generator

646b7b9372082b409e39863bb6604656ade4f44d

[ "Apache-2.0" ]

3

2016-08-29T02:45:40.000Z

2019-07-01T01:45:33.000Z

# Copyright 2010 OpenStack Foundation # 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. from xml.dom import minidom import mock from oslo_i18n import fixture as i18n_fixture from oslo_serialization import jsonutils import webob.dec from <project_name>.api import common from <project_name>.api.openstack import wsgi from <project_name>.i18n import _ from <project_name> import test class TestFaults(test.TestCase): """Tests covering `<project_name>.api.openstack.faults:Fault` class.""" def setUp(self): super(TestFaults, self).setUp() self.useFixture(i18n_fixture.ToggleLazy(True)) def _prepare_xml(self, xml_string): """Remove characters from string which hinder XML equality testing.""" xml_string = xml_string.replace(" ", "") xml_string = xml_string.replace("\n", "") xml_string = xml_string.replace("\t", "") return xml_string def test_400_fault_json(self): """Test fault serialized to JSON via file-extension and/or header.""" requests = [ webob.Request.blank('/.json'), webob.Request.blank('/', headers={"Accept": "application/json"}), ] for request in requests: fault = wsgi.Fault(webob.exc.HTTPBadRequest(explanation='scram')) response = request.get_response(fault) expected = { "badRequest": { "message": "scram", "code": 400, }, } actual = jsonutils.loads(response.body) self.assertEqual("application/json", response.content_type) self.assertEqual(expected, actual) def test_413_fault_json(self): """Test fault serialized to JSON via file-extension and/or header.""" requests = [ webob.Request.blank('/.json'), webob.Request.blank('/', headers={"Accept": "application/json"}), ] for request in requests: exc = webob.exc.HTTPRequestEntityTooLarge fault = wsgi.Fault(exc(explanation='sorry', headers={'Retry-After': 4})) response = request.get_response(fault) expected = { "overLimit": { "message": "sorry", "code": 413, "retryAfter": 4, }, } actual = jsonutils.loads(response.body) self.assertEqual("application/json", response.content_type) self.assertEqual(expected, actual) def test_raise(self): """Ensure the ability to raise :class:`Fault` in WSGI-ified methods.""" @webob.dec.wsgify def raiser(req): raise wsgi.Fault(webob.exc.HTTPNotFound(explanation='whut?')) req = webob.Request.blank('/.xml') resp = req.get_response(raiser) self.assertEqual("application/xml", resp.content_type) self.assertEqual(404, resp.status_int) self.assertIn('whut?', resp.body) def test_raise_403(self): """Ensure the ability to raise :class:`Fault` in WSGI-ified methods.""" @webob.dec.wsgify def raiser(req): raise wsgi.Fault(webob.exc.HTTPForbidden(explanation='whut?')) req = webob.Request.blank('/.xml') resp = req.get_response(raiser) self.assertEqual("application/xml", resp.content_type) self.assertEqual(403, resp.status_int) self.assertNotIn('resizeNotAllowed', resp.body) self.assertIn('forbidden', resp.body) @mock.patch('<project_name>.api.openstack.wsgi.i18n.translate') def test_raise_http_with_localized_explanation(self, mock_translate): params = ('blah', ) expl = _("String with params: %s") % params def _mock_translation(msg, locale): return "Mensaje traducido" mock_translate.side_effect = _mock_translation @webob.dec.wsgify def raiser(req): raise wsgi.Fault(webob.exc.HTTPNotFound(explanation=expl)) req = webob.Request.blank('/.xml') resp = req.get_response(raiser) self.assertEqual("application/xml", resp.content_type) self.assertEqual(404, resp.status_int) self.assertIn(("Mensaje traducido"), resp.body) self.stubs.UnsetAll() def test_fault_has_status_int(self): """Ensure the status_int is set correctly on faults.""" fault = wsgi.Fault(webob.exc.HTTPBadRequest(explanation='what?')) self.assertEqual(400, fault.status_int) def test_xml_serializer(self): """Ensure that a v1 request responds with a v1 xmlns.""" request = webob.Request.blank('/v1', headers={"Accept": "application/xml"}) fault = wsgi.Fault(webob.exc.HTTPBadRequest(explanation='scram')) response = request.get_response(fault) self.assertIn(common.XML_NS_V1, response.body) self.assertEqual("application/xml", response.content_type) self.assertEqual(400, response.status_int) class FaultsXMLSerializationTestV11(test.TestCase): """Tests covering `<project_name>.api.openstack.faults:Fault` class.""" def _prepare_xml(self, xml_string): xml_string = xml_string.replace(" ", "") xml_string = xml_string.replace("\n", "") xml_string = xml_string.replace("\t", "") return xml_string def test_400_fault(self): metadata = {'attributes': {"badRequest": 'code'}} serializer = wsgi.XMLDictSerializer(metadata=metadata, xmlns=common.XML_NS_V1) fixture = { "badRequest": { "message": "scram", "code": 400, }, } output = serializer.serialize(fixture) actual = minidom.parseString(self._prepare_xml(output)) expected = minidom.parseString(self._prepare_xml(""" <badRequest code="400" xmlns="%s"> <message>scram</message> </badRequest> """) % common.XML_NS_V1) self.assertEqual(expected.toxml(), actual.toxml()) def test_413_fault(self): metadata = {'attributes': {"overLimit": 'code'}} serializer = wsgi.XMLDictSerializer(metadata=metadata, xmlns=common.XML_NS_V1) fixture = { "overLimit": { "message": "sorry", "code": 413, "retryAfter": 4, }, } output = serializer.serialize(fixture) actual = minidom.parseString(self._prepare_xml(output)) expected = minidom.parseString(self._prepare_xml(""" <overLimit code="413" xmlns="%s"> <message>sorry</message> <retryAfter>4</retryAfter> </overLimit> """) % common.XML_NS_V1) self.assertEqual(expected.toxml(), actual.toxml()) def test_404_fault(self): metadata = {'attributes': {"itemNotFound": 'code'}} serializer = wsgi.XMLDictSerializer(metadata=metadata, xmlns=common.XML_NS_V1) fixture = { "itemNotFound": { "message": "sorry", "code": 404, }, } output = serializer.serialize(fixture) actual = minidom.parseString(self._prepare_xml(output)) expected = minidom.parseString(self._prepare_xml(""" <itemNotFound code="404" xmlns="%s"> <message>sorry</message> </itemNotFound> """) % common.XML_NS_V1) self.assertEqual(expected.toxml(), actual.toxml()) class FaultsXMLSerializationTestV2(test.TestCase): """Tests covering `<project_name>.api.openstack.faults:Fault` class.""" def _prepare_xml(self, xml_string): xml_string = xml_string.replace(" ", "") xml_string = xml_string.replace("\n", "") xml_string = xml_string.replace("\t", "") return xml_string def test_400_fault(self): metadata = {'attributes': {"badRequest": 'code'}} serializer = wsgi.XMLDictSerializer(metadata=metadata, xmlns=common.XML_NS_V1) fixture = { "badRequest": { "message": "scram", "code": 400, }, } output = serializer.serialize(fixture) actual = minidom.parseString(self._prepare_xml(output)) expected = minidom.parseString(self._prepare_xml(""" <badRequest code="400" xmlns="%s"> <message>scram</message> </badRequest> """) % common.XML_NS_V1) self.assertEqual(expected.toxml(), actual.toxml()) def test_413_fault(self): metadata = {'attributes': {"overLimit": 'code'}} serializer = wsgi.XMLDictSerializer(metadata=metadata, xmlns=common.XML_NS_V1) fixture = { "overLimit": { "message": "sorry", "code": 413, "retryAfter": 4, }, } output = serializer.serialize(fixture) actual = minidom.parseString(self._prepare_xml(output)) expected = minidom.parseString(self._prepare_xml(""" <overLimit code="413" xmlns="%s"> <message>sorry</message> <retryAfter>4</retryAfter> </overLimit> """) % common.XML_NS_V1) self.assertEqual(expected.toxml(), actual.toxml()) def test_404_fault(self): metadata = {'attributes': {"itemNotFound": 'code'}} serializer = wsgi.XMLDictSerializer(metadata=metadata, xmlns=common.XML_NS_V1) fixture = { "itemNotFound": { "message": "sorry", "code": 404, }, } output = serializer.serialize(fixture) actual = minidom.parseString(self._prepare_xml(output)) expected = minidom.parseString(self._prepare_xml(""" <itemNotFound code="404" xmlns="%s"> <message>sorry</message> </itemNotFound> """) % common.XML_NS_V1) self.assertEqual(expected.toxml(), actual.toxml())

35.124204

79

0.574304

1,093

11,029

5.656908

0.185727

0.034935

0.023128

0.027333

0.729096

0.712761

0.700954

0.687045

0

0.016539

0.303745

11,029

313

80

35.236422

0.788644

0.054946

0

0.711111

0

0.174954

0.025067

0

0.106667

0

null

0

0.04

null

0

null

0

1

0

1

0

1

0

null

0

1

0

5

13a79bb72ff655f488df528ec6c5fc8f99e38727

22

py

Python

Dmitry_Shevelev/task1.py

Perekalskiyigor/Sirius

2dcf792b072fa2f3fe4c2e900a9d4b6d0c2bd9b8

[ "MIT" ]

null

Dmitry_Shevelev/task1.py

Perekalskiyigor/Sirius

2dcf792b072fa2f3fe4c2e900a9d4b6d0c2bd9b8

[ "MIT" ]

null

Dmitry_Shevelev/task1.py

Perekalskiyigor/Sirius

2dcf792b072fa2f3fe4c2e900a9d4b6d0c2bd9b8

[ "MIT" ]

null

print("Python work!")

11

21

0.681818

3

22

5

1

0

0.090909

22

1

22

0.75

0

0.545455

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

13aa30235eea9a030a84fe7d6fa3e9783bd72093

58

py

Python

1.0.py

Pontianak/Python-For-Informatics

0645c5e8114e9b91959a47380dcd7da620eb552e

[ "MIT" ]

1

2016-05-16T14:41:07.000Z

1.0.py

Pontianak/Python-For-Informatics-Assignments

0645c5e8114e9b91959a47380dcd7da620eb552e

[ "MIT" ]

null

1.0.py

Pontianak/Python-For-Informatics-Assignments

0645c5e8114e9b91959a47380dcd7da620eb552e

[ "MIT" ]

null

14.5

30

0.741379

7

58

6.142857

1

0

0.081633

0.155172

58

3

31

19.333333

0.795918

0.482759

0

0.607143

0

null

0

null

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

13e88f458e6acb72d34013a73650716f2a93d3d4

192

py

Python

authlib/client/oauth_client.py

jonathanunderwood/authlib

3834a2a80876a87cdaab4240d77185179970c3ab

[ "BSD-3-Clause" ]

1

2021-12-09T07:11:05.000Z

authlib/client/oauth_client.py

jonathanunderwood/authlib

3834a2a80876a87cdaab4240d77185179970c3ab

[ "BSD-3-Clause" ]

4

2021-03-19T08:17:59.000Z

2021-06-10T19:34:36.000Z

authlib/client/oauth_client.py

jonathanunderwood/authlib

3834a2a80876a87cdaab4240d77185179970c3ab

[ "BSD-3-Clause" ]

2

2021-05-24T20:34:12.000Z

2022-03-26T07:46:17.000Z

from authlib.integrations._client import RemoteApp as OAuthClient from authlib.integrations._client.oauth_registry import OAUTH_CLIENT_PARAMS __all__ = ['OAUTH_CLIENT_PARAMS', 'OAuthClient']

38.4

75

0.854167

23

192

6.652174

0.521739

0.143791

0.300654

0.379085

0

0.078125

192

4

76

48

0.864407

0

0.15625

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

0

1

0

1

0

null

0

1

0

5

b91620286046f7c22f66ebe72afb7271c4914a12

152

py

Python

pycompanies/admin.py

Devecoop/pyarweb

ee42f0aa871569cc30a6a678dcdc43293d38c0bb

[ "Apache-2.0" ]

1

2022-01-14T18:38:25.000Z

pycompanies/admin.py

Devecoop/pyarweb

ee42f0aa871569cc30a6a678dcdc43293d38c0bb

[ "Apache-2.0" ]

37

2022-01-17T14:41:51.000Z

2022-02-16T13:50:05.000Z

pycompanies/admin.py

Devecoop/pyarweb

ee42f0aa871569cc30a6a678dcdc43293d38c0bb

[ "Apache-2.0" ]

null

from django.contrib import admin from .models import Company, UserCompanyProfile admin.site.register(Company) admin.site.register(UserCompanyProfile)

21.714286

47

0.842105

18

152

7.111111

0.555556

0.140625

0.265625

0

0.085526

152

6

48

25.333333

0.920863

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

b9282242070642559128654e40ae3616af00d16d

41

py

Python

app/exceptions.py

GinnyGaga/20171202flasky

298787c1f54b9ece8048fd359d56044716ffa345

[ "MIT" ]

null

app/exceptions.py

GinnyGaga/20171202flasky

298787c1f54b9ece8048fd359d56044716ffa345

[ "MIT" ]

5

2020-03-24T15:26:17.000Z

2021-02-02T21:42:07.000Z

app/exceptions.py

GinnyGaga/flaskyblog

e0e5d8d5bbc38a2237c0a055f1d15f26adb97f7c

[ "MIT" ]

null

class ValidationError(ValueError): pass

13.666667

34

0.829268

4

41

8.5

1

0

0.097561

41

2

35

20.5

0.918919

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

5

b982814722b898ce9050108e67b03d5a61bc431e

111

py

Python

dashboard/covid/admin.py

guiyshd/new-dashboard

78e43b066f153a902514a97a7e66349d2ffc9f36

[ "MIT" ]

null

dashboard/covid/admin.py

guiyshd/new-dashboard

78e43b066f153a902514a97a7e66349d2ffc9f36

[ "MIT" ]

null

dashboard/covid/admin.py

guiyshd/new-dashboard

78e43b066f153a902514a97a7e66349d2ffc9f36

[ "MIT" ]

null

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

22.2

38

0.855856

13

111

7.307692

0.692308

0

0.09009

111

5

38

22.2

0.940594

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

b9e47890a1a961b04adf2f16b0fd30ba6c2eb51f

75

py

Python

examples/tests/__init__.py

wthie/nevow

e630de8f640f27df85c38bc37ecdaf4e7b931afc

[ "MIT" ]

49

2015-03-18T15:29:16.000Z

2021-11-17T12:30:51.000Z

examples/tests/__init__.py

wthie/nevow

e630de8f640f27df85c38bc37ecdaf4e7b931afc

[ "MIT" ]

62

2015-01-21T08:48:08.000Z

2021-04-02T17:31:29.000Z

examples/tests/__init__.py

wthie/nevow

e630de8f640f27df85c38bc37ecdaf4e7b931afc

[ "MIT" ]

30

2015-02-26T09:35:39.000Z

2021-07-24T12:45:04.000Z

"""Tests for the examples, and some functional tests for nevow itself. """

37.5

71

0.733333

11

75

5

0.818182

0.290909

0

0.16

75

2

72

37.5

0.873016

0.893333

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

1

0

1

0

1

0

null

0

1

0

5

b9e82039f8b3fee50bca83055ac15098d363aa58

215

py

Python

asdf/tags/core/tests/setup_package.py

eteq/asdf

6d9e0e48bbffea166a19b71e29f5f9c211983bfe

[ "BSD-2-Clause", "BSD-3-Clause" ]

null

asdf/tags/core/tests/setup_package.py

eteq/asdf

6d9e0e48bbffea166a19b71e29f5f9c211983bfe

[ "BSD-2-Clause", "BSD-3-Clause" ]

null

asdf/tags/core/tests/setup_package.py

eteq/asdf

6d9e0e48bbffea166a19b71e29f5f9c211983bfe

[ "BSD-2-Clause", "BSD-3-Clause" ]

null

# Licensed under a 3-clause BSD style license - see LICENSE.rst # -*- coding: utf-8 -*- def get_package_data(): # pragma: no cover return { str(_PACKAGE_NAME_ + '.tags.core.tests'): ['data/*.yaml']}

23.888889

66

0.627907

30

215

4.333333

0.9

0

0.011696

0.204651

215

8

67

26.875

0.748538

0.465116

0

0.243243

0

1

0.333333

true

0

0.333333

0.666667

0

null

0

1

0

null

0

1

0

1

0

5

b9ff435155249133500a5ee9e465a249d9442b76

74

py

Python

ctcomp/_payday.py

bubbleboy14/ctcomp

52f495a5ada76841539f98f808a1ae6a8577a6d4

[ "MIT" ]

null

ctcomp/_payday.py

bubbleboy14/ctcomp

52f495a5ada76841539f98f808a1ae6a8577a6d4

[ "MIT" ]

null

ctcomp/_payday.py

bubbleboy14/ctcomp

52f495a5ada76841539f98f808a1ae6a8577a6d4

[ "MIT" ]

null

from cantools.web import respond from model import payDay respond(payDay)

18.5

32

0.837838

11

74

5.636364

0.636364

0

0.121622

74

4

33

18.5

0.953846

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

6a02cf6969dcd6659ec97109cc4069ee42ca669e

102

py

Python

gdax/__init__.py

chesswiz16/Trader

008308016be6803094b4f5891efa8687af95bacf

[ "MIT" ]

1

2018-01-11T14:39:18.000Z

gdax/__init__.py

chesswiz16/Trader

008308016be6803094b4f5891efa8687af95bacf

[ "MIT" ]

null

gdax/__init__.py

chesswiz16/Trader

008308016be6803094b4f5891efa8687af95bacf

[ "MIT" ]

null

from gdax.authenticated_client import AuthenticatedClient from gdax.public_client import PublicClient

34

57

0.901961

12

102

7.5

0.666667

0.177778

0

0.078431

102

2

58

51

0.957447

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

6a0ad479cb5e02adc948370bbd47aae6a72a57e2

63

py

Python

litex/build/quicklogic/__init__.py

osterwood/litex

db20cb172dc982c5879aa8080ec7aa18de181cc5

[ "ADSL" ]

1,501

2016-04-19T18:16:21.000Z

2022-03-31T17:46:31.000Z

litex/build/quicklogic/__init__.py

osterwood/litex

db20cb172dc982c5879aa8080ec7aa18de181cc5

[ "ADSL" ]

1,135

2016-04-19T05:49:14.000Z

2022-03-31T15:21:19.000Z

litex/build/quicklogic/__init__.py

osterwood/litex

db20cb172dc982c5879aa8080ec7aa18de181cc5

[ "ADSL" ]

357

2016-04-19T05:00:24.000Z

2022-03-31T11:28:32.000Z

from litex.build.quicklogic.platform import QuickLogicPlatform

31.5

62

0.888889

7

63

8

1

0

0.063492

63

1

63

0.949153

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

dbe4fbd0e45bbdd37b29f22817e2fa20e3687e0a

278

py

Python

src/config/__init__.py

villanuevab/squeezeDet

4c78fa350f9c11ab9a5b620e78286846a7ee66de

[ "BSD-2-Clause" ]

812

2016-12-11T02:59:15.000Z

2022-02-23T14:35:45.000Z

src/config/__init__.py

Tony-Hou/squeezeDet

e7c0860eb1d141729cf02a2ec9cafc0cfb4a21aa

[ "BSD-2-Clause" ]

128

2016-12-15T08:18:38.000Z

2022-03-11T23:18:57.000Z

src/config/__init__.py

Tony-Hou/squeezeDet

e7c0860eb1d141729cf02a2ec9cafc0cfb4a21aa

[ "BSD-2-Clause" ]

363

2016-12-11T04:21:09.000Z

2022-03-05T17:26:45.000Z

from kitti_model_config import kitti_model_config from kitti_vgg16_config import kitti_vgg16_config from kitti_res50_config import kitti_res50_config from kitti_squeezeDet_config import kitti_squeezeDet_config from kitti_squeezeDetPlus_config import kitti_squeezeDetPlus_config

46.333333

67

0.928058

40

278

5.95

0.225

0.189076

0.357143

0

0.031008

0.071942

278

5

68

55.6

0.891473

0

1

0

true

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

5

dbfe336ea4eb0b5578fd9980acd344064cd766bb

62

py

Python

lf3py/aws/firehose/__init__.py

rog-works/lf3py

e89937f7aa133ed54d85764f06101ab9abf6b960

[ "CNRI-Python" ]

null

lf3py/aws/firehose/__init__.py

rog-works/lf3py

e89937f7aa133ed54d85764f06101ab9abf6b960

[ "CNRI-Python" ]

48

2020-12-19T13:47:26.000Z

2021-01-07T22:27:56.000Z

lf3py/aws/firehose/__init__.py

rog-works/lf3py

e89937f7aa133ed54d85764f06101ab9abf6b960

[ "CNRI-Python" ]

null

from lf3py.aws.firehose.firehose import FireHose # noqa F401

31

61

0.806452

9

62

5.555556

0.777778

0

0.074074

0.129032

62

1

62

0.851852

0.145161

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

e036e6f2ad79ad20456e86844288febaff304c5a

119

py

Python

encrypt.py

MaayanLab/scAVI

7f3f83657d749520243535581db1080075e48aa5

[ "Apache-2.0" ]

3

2020-01-23T08:48:33.000Z

2021-07-21T02:42:28.000Z

encrypt.py

MaayanLab/scAVI

7f3f83657d749520243535581db1080075e48aa5

[ "Apache-2.0" ]

21

2019-10-25T15:38:37.000Z

2022-01-27T16:04:04.000Z

encrypt.py

MaayanLab/scAVI

7f3f83657d749520243535581db1080075e48aa5

[ "Apache-2.0" ]

1

2019-10-24T18:15:26.000Z

''' Encrypt and decrypt a string ''' def encrypt(s): return s.encode('hex') def decrypt(s): return s.decode('hex')

11.9

28

0.655462

19

119

4.105263

0.578947

0.179487

0.205128

0

0.159664

119

9

29

13.222222

0.78

0.235294

0

0.072289

0

1

0.5

false

0

0.5

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

e045c9a3fc2f22dfbd95d24a12c5d8ae09fbc49a

884

py

Python

amt_tools/tools/__init__.py

cwitkowitz/transcription-models

e8697d6969b074926ac55986bc02fa1aad04b471

[ "MIT" ]

4

2021-06-15T19:45:26.000Z

2022-03-31T20:42:26.000Z

amt_tools/tools/__init__.py

cwitkowitz/transcription-models

e8697d6969b074926ac55986bc02fa1aad04b471

[ "MIT" ]

null

amt_tools/tools/__init__.py

cwitkowitz/transcription-models

e8697d6969b074926ac55986bc02fa1aad04b471

[ "MIT" ]

1

2021-11-08T02:13:02.000Z

""" Should be able to use the following import patterns (e.g.): ------------------------------------------------------------ import amt_tools amt_tools.tools.load_normalize_audio() ------------------------------------------------------------ import amt_tools.tools as tools tools.load_notes_midi() ------------------------------------------------------------ from amt_tools import tools tools.array_to_tensor() ------------------------------------------------------------ from amt_tools.tools import * notes_to_multi_pitch() ------------------------------------------------------------ from amt_tools.tools import GuitarProfile GuitarProfile() ------------------------------------------------------------ from amt_tools.tools.constants import KEY_AUDIO KEY_AUDIO """ from .constants import * from .instrument import * from .io import * from .utils import * #from .visualize import *

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1,061

py

Python

cart_venv/Lib/site-packages/tensorflow_estimator/_api/v1/estimator/tpu/__init__.py

juice1000/Synchronous-vs-Asynchronous-Learning-Tensorflow-

654be60f7986ac9bb7ce1d080ddee377c3389f93

[ "MIT" ]

4

2020-09-02T16:13:51.000Z

2021-06-05T08:45:59.000Z

cart_venv/Lib/site-packages/tensorflow_estimator/_api/v1/estimator/tpu/__init__.py

juice1000/Synchronous-vs-Asynchronous-Learning-Tensorflow-

654be60f7986ac9bb7ce1d080ddee377c3389f93

[ "MIT" ]

null

cart_venv/Lib/site-packages/tensorflow_estimator/_api/v1/estimator/tpu/__init__.py

juice1000/Synchronous-vs-Asynchronous-Learning-Tensorflow-

654be60f7986ac9bb7ce1d080ddee377c3389f93

[ "MIT" ]

1

2021-01-28T01:57:41.000Z

# This file is MACHINE GENERATED! Do not edit. # Generated by: tensorflow/python/tools/api/generator/create_python_api.py script. """Public API for tf.estimator.tpu namespace. """ from __future__ import print_function as _print_function import sys as _sys from tensorflow_estimator._api.v1.estimator.tpu import experimental from tensorflow_estimator.python.estimator.tpu.tpu_config import InputPipelineConfig from tensorflow_estimator.python.estimator.tpu.tpu_config import RunConfig from tensorflow_estimator.python.estimator.tpu.tpu_config import TPUConfig from tensorflow_estimator.python.estimator.tpu.tpu_estimator import TPUEstimator from tensorflow_estimator.python.estimator.tpu.tpu_estimator import TPUEstimatorSpec del _print_function from tensorflow.python.util import module_wrapper as _module_wrapper if not isinstance(_sys.modules[__name__], _module_wrapper.TFModuleWrapper): _sys.modules[__name__] = _module_wrapper.TFModuleWrapper( _sys.modules[__name__], "estimator.tpu", public_apis=None, deprecation=True, has_lite=False)

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e07a226a855a2f8af0608b320e0b5d8cc04e3b8f

82

py

Python

app/ultraauth_jupyter_config.py

chbrandt/jupyterhub-oauth

de32594649be043b7e74844f3c94b1d57ff326e5

[ "Apache-2.0" ]

null

app/ultraauth_jupyter_config.py

chbrandt/jupyterhub-oauth

de32594649be043b7e74844f3c94b1d57ff326e5

[ "Apache-2.0" ]

null

app/ultraauth_jupyter_config.py

chbrandt/jupyterhub-oauth

de32594649be043b7e74844f3c94b1d57ff326e5

[ "Apache-2.0" ]

null

c.JupyterHub.authenticator_class = 'oauthenticator.generic.GenericOAuthenticator'

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null

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5

0ec7abbd34adb5e3290452bd1f4fcea9d5ba1554

132

py

Python

donfig/__init__.py

yufeizhu600/donfig

4ad0cc483044369b2ef5608ae24bad5ba50bb7f2

[ "MIT", "BSD-3-Clause" ]

27

2018-11-04T16:50:49.000Z

2022-02-05T16:33:58.000Z

donfig/__init__.py

yufeizhu600/donfig

4ad0cc483044369b2ef5608ae24bad5ba50bb7f2

[ "MIT", "BSD-3-Clause" ]

23

2018-12-22T15:36:41.000Z

2022-03-14T22:10:15.000Z

donfig/__init__.py

yufeizhu600/donfig

4ad0cc483044369b2ef5608ae24bad5ba50bb7f2

[ "MIT", "BSD-3-Clause" ]

4

2019-04-24T18:02:29.000Z

2021-04-09T19:33:23.000Z

from .version import get_versions __version__ = get_versions()['version'] del get_versions from .config_obj import Config # noqa

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0efc401295da4a90b5c6925bd689c2c8334c218e

34

py

Python

djephys/__init__.py

vathes/canonical-ephys

34e867c2e117a25424b25e90abf07791285ff010

[ "MIT" ]

null

djephys/__init__.py

vathes/canonical-ephys

34e867c2e117a25424b25e90abf07791285ff010

[ "MIT" ]

null

djephys/__init__.py

vathes/canonical-ephys

34e867c2e117a25424b25e90abf07791285ff010

[ "MIT" ]

3

2020-04-22T14:16:39.000Z

2020-05-21T23:05:50.000Z

from .ephys import schema as ephys

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4.666667

0.833333

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null

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1

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5

1602dedcd1ef9dc3450ae8cf1b2b73fe6f3a27fd

79

py

Python

scripts/hooks/hook-jsonschema.py

thombashi/sandbox

525bc258dee5f7654c6a2e0967af99d4127e6db1

[ "MIT" ]

1

2016-01-18T22:38:40.000Z

scripts/hooks/hook-jsonschema.py

thombashi/sandbox

525bc258dee5f7654c6a2e0967af99d4127e6db1

[ "MIT" ]

1

2016-02-25T11:13:51.000Z

2016-02-25T11:14:43.000Z

scripts/hooks/hook-jsonschema.py

thombashi/sandbox

525bc258dee5f7654c6a2e0967af99d4127e6db1

[ "MIT" ]

null

from PyInstaller.utils.hooks import copy_metadata copy_metadata("jsonschema")

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null

0

1

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5

163ee4b4b619ce6e3342167191813b8223371875

89

py

Python

restdbserver/main.py

bitwyre/database-server

cac4f24ab0c1b34f1aea616f312bdb13a3274e7b

[ "BSD-3-Clause" ]

1

2020-04-07T17:00:57.000Z

restdbserver/main.py

bitwyre/database-server

cac4f24ab0c1b34f1aea616f312bdb13a3274e7b

[ "BSD-3-Clause" ]

null

restdbserver/main.py

bitwyre/database-server

cac4f24ab0c1b34f1aea616f312bdb13a3274e7b

[ "BSD-3-Clause" ]

1

2020-04-07T17:00:58.000Z

def main(): """Entry point for the application script""" print("Server started")

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